From 3edc41e86cff323b415e8a4963eb796e269e0f6e Mon Sep 17 00:00:00 2001 From: Isaac Paul Date: Mon, 11 May 2026 22:01:23 -0400 Subject: [PATCH] feat: add initial browser voice input prototype --- AGENTS.md | 33 + bun.lock | 169 + package-lock.json | 1129 +++- package.json | 1 + plan.md | 281 + tsconfig.json | 2 +- update.sh | 17 +- webterm/static/js/moonshine-js.d.ts | 35 + webterm/static/js/terminal.js | 8691 ++++++++++++++++++++++++++- webterm/static/js/terminal.ts | 317 + 10 files changed, 10660 insertions(+), 15 deletions(-) create mode 100644 AGENTS.md create mode 100644 plan.md create mode 100644 webterm/static/js/moonshine-js.d.ts diff --git a/AGENTS.md b/AGENTS.md new file mode 100644 index 0000000..007148e --- /dev/null +++ b/AGENTS.md @@ -0,0 +1,33 @@ +# Repository Guidelines + +## Project Structure & Module Organization + +`cmd/webterm/` contains the CLI entrypoint. Core server, session, Docker, replay, screenshot, and static-serving code lives in `webterm/`. Shared internal helpers live in `internal/`. Frontend terminal code is in `webterm/static/js/terminal.ts`, with the bundled output committed as `webterm/static/js/terminal.js`. Static assets such as fonts, icons, and WASM files live under `webterm/static/`. Documentation and reference media live in `docs/`. + +## Build, Test, and Development Commands + +- `make install-dev`: install Go and frontend dependencies. +- `make build`: typecheck and bundle frontend assets. +- `make build-fast`: rebuild frontend without TypeScript checking. +- `make build-go`: compile `bin/webterm`. +- `go run ./cmd/webterm`: start the server locally on `http://localhost:8080`. +- `make test`: run all Go tests. +- `make race`: run Go tests with the race detector. +- `make check`: run lint, tests, and coverage. +- `./update.sh`: rebuild, install, and restart the user service. + +## Coding Style & Naming Conventions + +Use `gofmt` for Go formatting; run `make format` before submitting Go-heavy changes. Follow existing Go naming: exported identifiers use `CamelCase`, internal helpers use `camelCase`, and tests live beside source files. TypeScript in `webterm/static/js/` uses strict mode, 2-space indentation, and direct DOM-oriented code rather than framework abstractions. Keep generated bundles in sync with source changes. + +## Testing Guidelines + +Go tests use the standard `testing` package. Name tests `TestXxx` and fuzz tests `FuzzXxx`; keep them next to the code they validate. Prefer focused unit tests for `webterm/` and `internal/` changes. Run `make test` for normal work and `make check` before opening a PR. Frontend changes should at minimum pass `bun run typecheck` via `make build`. + +## Commit & Pull Request Guidelines + +Recent history uses short imperative subjects, sometimes with prefixes such as `feat:`, `fix:`, and `deps:`. Keep commits focused, e.g. `fix: restore websocket reconnect on hidden-tab resume`. PRs should explain user-visible behavior, note test coverage, and include screenshots or recordings for terminal/UI changes. Link related issues when applicable. + +## Security & Configuration Tips + +By default, the service binds to port `8080`; review `~/.config/systemd/user/webterm.service` before exposing it remotely. Use HTTPS for browser microphone features. Static assets are embedded by default, but `WEBTERM_STATIC_PATH` can override them in development. diff --git a/bun.lock b/bun.lock index cb528b7..563b1aa 100644 --- a/bun.lock +++ b/bun.lock @@ -5,6 +5,7 @@ "": { "name": "webterm-frontend", "dependencies": { + "@moonshine-ai/moonshine-js": "^0.1.29", "ghostty-web": "github:rcarmo/ghostty-web#fcc47d423a7fce1c02c702b6464d0b1ab89175f1", }, "devDependencies": { @@ -13,8 +14,176 @@ }, }, "packages": { + "@emnapi/runtime": ["@emnapi/runtime@1.10.0", "", { "dependencies": { "tslib": "^2.4.0" } }, "sha512-ewvYlk86xUoGI0zQRNq/mC+16R1QeDlKQy21Ki3oSYXNgLb45GV1P6A0M+/s6nyCuNDqe5VpaY84BzXGwVbwFA=="], + + "@huggingface/jinja": ["@huggingface/jinja@0.5.9", "", {}, "sha512-uWTG+l3VJRsl7EXxYizuL3P+cCPoc3cRqbWWRcQN0FhejRfbdq0RNhCmbY/YDtnTcz9icdLYuLDjsnz4d8JMuw=="], + + "@huggingface/transformers": ["@huggingface/transformers@3.8.1", "", { "dependencies": { "@huggingface/jinja": "^0.5.3", "onnxruntime-node": "1.21.0", "onnxruntime-web": 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button in the terminal UI +- browser captures microphone audio +- VAD segments speech locally +- Moonshine v2 recognition runs locally in WASM +- committed transcript is sent into the existing terminal input path + +## Why We Are Changing Direction + +The current MoonshineJS integration is the wrong runtime for the `medium-streaming-en` bundle we want to use. + +Current blockers: + +- `moonshine-js` expects old-style ONNX assets such as: + - `quantized/encoder_model.onnx` + - `quantized/decoder_model_merged.onnx` +- the downloaded `medium-streaming-en.zip` contains a newer Moonshine v2 layout: + - `frontend.ort` + - `encoder.ort` + - `decoder_kv.ort` + - `adapter.ort` + - `cross_kv.ort` + - `tokenizer.bin` + - `streaming_config.json` +- self-hosting those files alone does not make the existing `moonshine-js` loader compatible + +## Constraints + +- keep transcription fully local in the browser +- keep the current terminal WebSocket/stdin path unchanged if possible +- preserve the small voice button UX already added to `webterm/static/js/terminal.ts` +- prefer self-hosted assets served by `webterm/static/` +- do not depend on third-party model/CDN availability at runtime + +## Repo Touchpoints + +Expected files/modules to change: + +- `webterm/static/js/terminal.ts` +- `webterm/static/js/terminal.js` +- `package.json` +- `bun.lock` +- `package-lock.json` +- `webterm/assets_embed.go` +- `webterm/static/...` for new WASM/model assets +- `README.md` + +Possible new files: + +- `webterm/static/js/sherpa-voice.ts` or similar +- `webterm/static/js/sherpa-onnx.d.ts` +- `webterm/static/models/moonshine-v2-medium/...` +- `scripts/install-sherpa-model.sh` or similar helper + +## Proposed Architecture + +### 1. Frontend runtime + +Use `sherpa-onnx` JavaScript/WebAssembly in the browser instead of `moonshine-js`. + +Primary responsibilities: + +- initialize sherpa WASM runtime +- load self-hosted Moonshine v2 model files +- initialize VAD + ASR pipeline +- expose simple start/stop API to terminal UI +- emit committed transcript strings + +### 2. Audio flow + +Use the VAD + offline ASR flow described by sherpa-onnx: + +- microphone input +- VAD detects speech boundaries +- finalized speech segment is sent to recognizer +- recognizer returns transcript +- transcript is injected into terminal stdin + +### 3. Terminal integration + +Keep the existing terminal send path: + +- reuse `sendStdin(...)` in `WebTerminal` +- keep current voice button/status UI shell +- replace only the recognition backend + +## Implementation Phases + +### Phase 1. Remove the current MoonshineJS dependency path + +- remove `@moonshine-ai/moonshine-js` import and startup logic +- remove `moonshine-js.d.ts` +- remove MoonshineJS-specific error capture code +- keep the voice UI container, button, and status area + +Deliverable: + +- terminal still builds +- voice button exists but uses a new backend abstraction + +### Phase 2. Stage sherpa-onnx assets locally + +- choose exact sherpa-onnx JS/WASM package/version +- download/copy the required runtime assets into `webterm/static/` +- unpack `~/medium-streaming-en.zip` into repo-managed static model directory +- verify final model path layout expected by sherpa-onnx +- ensure static assets are available both in dev mode and embedded mode + +Deliverable: + +- all WASM/model files are served locally from `/static/...` + +### Phase 3. Build a thin browser voice adapter + +- create a dedicated module that wraps sherpa-onnx initialization +- define a minimal interface: + - `start()` + - `stop()` + - `isActive()` + - callbacks for: + - status updates + - final transcript + - detailed errors +- keep terminal code from depending directly on low-level sherpa objects + +Deliverable: + +- one self-contained browser voice adapter module + +### Phase 4. Wire VAD + recognition into the terminal UI + +- connect voice button click to adapter start/stop +- show clear states: + - ready + - loading runtime + - loading model + - listening + - processing speech + - final transcript sent + - detailed error +- push final transcript into `sendStdin(...)` +- decide whether to append newline automatically + +Open question: + +- should transcript be inserted as raw text only, or raw text plus `\r`? + +Deliverable: + +- end-to-end browser speech to terminal input using sherpa-onnx + +### Phase 5. Performance and caching + +- confirm browser HTTP caching behavior for WASM and model files +- add long-lived cache headers if needed for self-hosted static assets +- optionally add a service worker pre-cache later +- measure first-load vs repeat-load experience + +Deliverable: + +- repeat visits avoid re-downloading large model assets where possible + +### Phase 6. Documentation and deploy + +- document required model files and where they live +- document browser requirements +- document secure-origin requirement for microphone access +- document how to update the model bundle in future + +Deliverable: + +- README instructions for install, deploy, and troubleshooting + +## Technical Questions To Resolve Early + +1. Which sherpa-onnx JS/WASM distribution should we use? + +- npm package +- vendored release bundle +- custom copied example assets + +2. Which exact browser API shape should we target? + +- direct sherpa recognizer API +- sherpa VAD + non-streaming ASR helper +- example-derived wrapper from sherpa demos + +3. What is the expected asset layout for the Moonshine v2 medium zip? + +- whether files can be served exactly as unzipped +- whether any extra config or renamed paths are required + +4. What transcript commit behavior do we want? + +- send text only +- send text plus Enter +- configurable mode + +## Risks + +### Runtime/API mismatch + +Risk: + +- sherpa-onnx JS APIs may differ from the examples we choose + +Mitigation: + +- lock to one verified release +- copy a known working browser example shape before adapting + +### Large asset size + +Risk: + +- medium model load time may be high on first use + +Mitigation: + +- self-host locally +- keep caching aggressive +- consider fallback option for smaller model later + +### Mobile/browser compatibility + +Risk: + +- WASM + large model + microphone flow may be poor on weaker browsers + +Mitigation: + +- treat desktop Chromium/Firefox as first target +- gate unsupported browsers with explicit errors + +### Current worktree noise + +Risk: + +- repo already has ongoing voice-related frontend edits + +Mitigation: + +- isolate the new adapter into its own file/module +- keep migration incremental + +## Validation Checklist + +- `bun run typecheck` passes +- frontend bundle builds +- `./update.sh` deploys successfully +- remote HTTPS origin still permits microphone access +- first transcription works end-to-end +- repeated transcriptions do not leak memory or duplicate recognizers +- page reload reuses cached assets when possible +- detailed runtime errors are visible in UI and console + +## Recommended Execution Order + +1. Pick and verify one sherpa-onnx browser example for Moonshine v2 +2. Vendor the required WASM/runtime assets +3. Unpack and serve the local model bundle +4. Build a dedicated browser adapter module +5. Rewire the existing voice UI to that adapter +6. Validate microphone -> transcript -> terminal stdin flow +7. Improve caching and docs + +## Definition of Done + +- no `moonshine-js` dependency remains in the browser path +- voice input uses sherpa-onnx + locally hosted Moonshine v2 assets +- transcripts reach terminal stdin reliably +- remote HTTPS access works +- runtime/model errors are understandable +- setup is documented and reproducible diff --git a/tsconfig.json b/tsconfig.json index b71dcd9..18e728c 100644 --- a/tsconfig.json +++ b/tsconfig.json @@ -12,6 +12,6 @@ "isolatedModules": true, "lib": ["ES2022", "DOM", "DOM.Iterable"] }, - "include": ["webterm/static/js/**/*.ts"], + "include": ["webterm/static/js/**/*"], "exclude": ["node_modules"] } diff --git a/update.sh b/update.sh index 6da12fc..178ccfa 100755 --- a/update.sh +++ b/update.sh @@ -10,10 +10,25 @@ echo "Building Go binary..." make build-go echo "Installing binary..." -cp bin/webterm ~/go/bin/webterm +mkdir -p ~/go/bin +tmp_target=~/go/bin/webterm.new +cp bin/webterm "$tmp_target" +chmod +x "$tmp_target" +mv "$tmp_target" ~/go/bin/webterm echo "Restarting service..." systemctl --user restart webterm.service echo "Done. Status:" systemctl --user status webterm.service --no-pager + +echo +echo "Listening sockets:" +ss -ltnp | grep ':8080' || true + +echo +echo "Reachable URLs:" +echo " Local: http://127.0.0.1:8080/" +hostname -I 2>/dev/null | tr ' ' '\n' | sed '/^$/d' | while read -r ip; do + echo " LAN: http://$ip:8080/" +done diff --git a/webterm/static/js/moonshine-js.d.ts b/webterm/static/js/moonshine-js.d.ts new file mode 100644 index 0000000..b3ce9aa --- /dev/null +++ b/webterm/static/js/moonshine-js.d.ts @@ -0,0 +1,35 @@ +declare module "@moonshine-ai/moonshine-js" { + export interface TranscriberCallbacks { + onPermissionsRequested: () => unknown; + onError: (error: unknown) => unknown; + onModelLoadStarted: () => unknown; + onModelLoaded: () => unknown; + onTranscribeStarted: () => unknown; + onTranscribeStopped: () => unknown; + onTranscriptionUpdated: (text: string) => unknown; + onTranscriptionCommitted: (text: string, buffer?: AudioBuffer) => unknown; + onFrame: (probs: unknown, frame: unknown, ema: unknown) => unknown; + onSpeechStart: () => unknown; + onSpeechEnd: () => unknown; + } + + export class MicrophoneTranscriber { + constructor( + modelURL: string, + callbacks?: Partial, + useVAD?: boolean, + precision?: string + ); + isActive: boolean; + start(): Promise; + stop(): void; + } + + export const Settings: { + BASE_ASSET_PATH: { + MOONSHINE: string; + ONNX_RUNTIME: string; + SILERO_VAD: string; + }; + }; +} diff --git a/webterm/static/js/terminal.js b/webterm/static/js/terminal.js index 8aaa92a..df30a73 100644 --- a/webterm/static/js/terminal.js +++ b/webterm/static/js/terminal.js @@ -1,7 +1,7 @@ -var H0=Object.defineProperty;var L0=(j)=>j;function U0(j,$){this[j]=L0.bind(null,$)}var Y0=(j,$)=>{for(var V in $)H0(j,V,{get:$[V],enumerable:!0,configurable:!0,set:U0.bind($,V)})};var P0=(j,$)=>()=>(j&&($=j(j=0)),$);var B={};Y0(B,{default:()=>N0});var N0;var t=P0(()=>{N0={}});var 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EAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAA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AHAAEAAQABAAEAAQABAAEAAQABAAEABAAEAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAcABgAEAAYABgABAAEAAQAGAAYABgABAAYABgAGAAQAAQABAAEAAQABAAEAAQABAAEABwABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQABgAGAAYABAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQAAQAEAAQABAAGAAYABgAGAAEABAAEAAQAAQAEAAQABAAEAAEAAQABAAEAAQABAAEABAAEAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQABgAGAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAEABgAEAAcABgAHAAYABgABAAQABwAHAAEABwAHAAQABAABAAEAAQABAAEAAQABAAcABwABAAEAAQABAAEAAQABAAEAAQABAAEABAAEAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAYAAQABAAEAAQABAAEAAQABAAEAAQABAAEABAAEAAYABgABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQABAABAAcABgAGAAQABAAEAAQAAQAGAAYABgABAAYABgAGAAQABQABAAEAAQABAAEAAQABAAEABwABAAEAAQABAAEAAQABAAEAAQABAAQABAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEABAAGAAYAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAEAAQABAAEABwAGAAYABAAEAAQAAQAEAAEABgAGAAYABgAGAAYABgAHAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAYABgABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQAAQAGAAQABAAEAAQABAAEAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEABAAEAAQABAAEAAQABAAEAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAEABgAEAAQABAAEAAQABAAEAAQABAABAAEAAQABAAEAAQABAAEAAQABAAEABAAEAAQABAAEAAQABAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQABAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAEABAABAAQAAQABAAEAAQAGAAYAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABgAEAAQABAAEAAQAAQAEAAQAAQABAAEAAQABAAQABAAEAAQABAAEAAQABAAEAAQABAABAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAEAAQABAAEAAQABAAEAAQABAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEABAAEAAQABAAGAAQABAAEAAQABAAEAAEABAAEAAYABgAEAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAYABgAEAAQAAQABAAEAAQAEAAQABAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQABAAEAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAEABgAEAAQAAQABAAEAAQABAAEABAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACQAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQABAAEAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQ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ABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAMAAwADAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEADQANAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAA0AAQABAAEAAQANAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEABAAEAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEABAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAOAA4AAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgABAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgABAAEAAQABAAEAAQABAAEAAQABAAEAAQAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAAQABAAEAAQAEwATAA0ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADQAOAAEAAQAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4AAQABAAQABAAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4AAQABAAEAAQABAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4AAQAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAAAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAAEADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAAEAAQABAAEAAQABAAEAAQABAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAAEADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgABAAEAAQABAAEAAQABAAEADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA0ADgANAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4AAQABAAEADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAQABAAEAAEABAAEAAQABAAEAAQABAAEAAQABAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEABAAEAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAEAAQABAAQAAQABAAEAAQAEAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAGAAYABAAEAAYAAQABAAEAAQAEAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAGAAYAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAYABgAGAAYABgAGAAYABgAGAAYABgAGAAYABgAGAAYABAAEAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQABAAEAAQABAAEAAQABAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQABAAEAAQABAAEAAQABAAEAAQABAAGAAcAAQABAAEAAQABAAEAAQABAAEAAQABAAEACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAEAAQABAAQABAAEAAYAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQABgAGAAQABAAEAAQABgAGAAQABAAGAAYABwABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEABAAEAAQABAAEAAQABgAGAAQABAAGAAYABAAEAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQAAQABAAEAAQABAAEAAQABAAQABgABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEABAABAAQABAAEAAEAAQAEAAQAAQABAAEAAQABAAQABAABAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAYABAAEAAYABgABAAEAAQABAAEABg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J=$.pathname;J.match(/^\/[A-Za-z]:\//)&&(J=J.slice(1)),V.push(J)}V.push($.href,"./ghostty-vt.wasm","/ghostty-vt.wasm");let Z=null;for(let J of V)try{return await M.loadFromPath(J)}catch(X){Z=X instanceof Error?X:Error(String(X))}throw Z||Error("Failed to load Ghostty WASM")}static async loadFromPath(j){let $;if(typeof Bun<"u"&&typeof Bun.file=="function")try{let J=Bun.file(j);await J.exists()&&($=await J.arrayBuffer())}catch{}if(!$)try{let J=await(await Promise.resolve().then(() => (t(),B))).readFile(j);$=J.buffer.slice(J.byteOffset,J.byteOffset+J.byteLength)}catch{}if(!$){let J=await fetch(j);if(!J.ok)throw Error(`Failed to fetch WASM: ${J.status} ${J.statusText}`);if($=await J.arrayBuffer(),$.byteLength===0)throw Error(`WASM file is empty (0 bytes). Check path: ${j}`)}if(!$)throw Error(`Could not load WASM from path: ${j}`);let V=await WebAssembly.compile($),Z=await WebAssembly.instantiate(V,{env:{log:(J,X)=>{let K=new Uint8Array(Z.exports.memory.buffer,J,X);console.log("[ghostty-vt]",new TextDecoder().decode(K))}}});return new M(Z)}}class A{constructor(j){this.encoder=0,this.exports=j;let $=this.exports.ghostty_wasm_alloc_opaque(),V=this.exports.ghostty_key_encoder_new(0,$);if(V!==0)throw Error(`Failed to create key encoder: ${V}`);let Z=new DataView(this.exports.memory.buffer);this.encoder=Z.getUint32($,!0),this.exports.ghostty_wasm_free_opaque($)}setOption(j,$){let V=this.exports.ghostty_wasm_alloc_u8();new DataView(this.exports.memory.buffer).setUint8(V,typeof $=="boolean"?$?1:0:$),this.exports.ghostty_key_encoder_setopt(this.encoder,j,V),this.exports.ghostty_wasm_free_u8(V)}setKittyFlags(j){this.setOption(r.KITTY_KEYBOARD_FLAGS,j)}encode(j){let $=this.exports.ghostty_wasm_alloc_opaque(),V=this.exports.ghostty_key_event_new(0,$);if(V!==0)throw Error(`Failed to create key event: ${V}`);let Z=new DataView(this.exports.memory.buffer),J=Z.getUint32($,!0);if(this.exports.ghostty_wasm_free_opaque($),this.exports.ghostty_key_event_set_action(J,j.action),this.exports.ghostty_key_event_set_key(J,j.key),this.exports.ghostty_key_event_set_mods(J,j.mods),j.utf8){let U=new TextEncoder().encode(j.utf8),H=this.exports.ghostty_wasm_alloc_u8_array(U.length);new Uint8Array(this.exports.memory.buffer).set(U,H),this.exports.ghostty_key_event_set_utf8(J,H,U.length),this.exports.ghostty_wasm_free_u8_array(H,U.length)}let X=32,K=this.exports.ghostty_wasm_alloc_u8_array(X),z=this.exports.ghostty_wasm_alloc_usize(),O=this.exports.ghostty_key_encoder_encode(this.encoder,J,K,X,z);if(O!==0)throw this.exports.ghostty_wasm_free_u8_array(K,X),this.exports.ghostty_wasm_free_usize(z),this.exports.ghostty_key_event_free(J),Error(`Failed to encode key: ${O}`);let W=Z.getUint32(z,!0),R=new Uint8Array(this.exports.memory.buffer,K,W).slice();return this.exports.ghostty_wasm_free_u8_array(K,X),this.exports.ghostty_wasm_free_usize(z),this.exports.ghostty_key_event_free(J),R}dispose(){this.encoder&&(this.exports.ghostty_key_encoder_free(this.encoder),this.encoder=0)}}var j0=class j{constructor($,V,Z=80,J=24,X){var K;if(this.viewportBufferPtr=0,this.viewportBufferSize=0,this.cellPool=[],this.graphemeBuffer=null,this.graphemeBufferPtr=0,this.exports=$,this.memory=V,this._cols=Z,this._rows=J,X){let z=this.exports.ghostty_wasm_alloc_u8_array(Q);if(z===0)throw Error("Failed to allocate config (out of memory)");try{let O=new DataView(this.memory.buffer),W=z;O.setUint32(W,X.scrollbackLimit??1e4,!0),W+=4,O.setUint32(W,X.fgColor??0,!0),W+=4,O.setUint32(W,X.bgColor??0,!0),W+=4,O.setUint32(W,X.cursorColor??0,!0),W+=4;for(let R=0;R<16;R++)O.setUint32(W,((K=X.palette)==null?void 0:K[R])??0,!0),W+=4;this.handle=this.exports.ghostty_terminal_new_with_config(Z,J,z)}finally{this.exports.ghostty_wasm_free_u8_array(z,Q)}}else this.handle=this.exports.ghostty_terminal_new(Z,J);if(!this.handle)throw Error("Failed to create terminal");this.initCellPool()}get cols(){return this._cols}get rows(){return this._rows}write($){let V=typeof $=="string"?new TextEncoder().encode($):$,Z=this.exports.ghostty_wasm_alloc_u8_array(V.length);new Uint8Array(this.memory.buffer).set(V,Z),this.exports.ghostty_terminal_write(this.handle,Z,V.length),this.exports.ghostty_wasm_free_u8_array(Z,V.length)}resize($,V){$===this._cols&&V===this._rows||(this._cols=$,this._rows=V,this.exports.ghostty_terminal_resize(this.handle,$,V),this.invalidateBuffers(),this.initCellPool())}free(){this.viewportBufferPtr&&(this.exports.ghostty_wasm_free_u8_array(this.viewportBufferPtr,this.viewportBufferSize),this.viewportBufferPtr=0),this.exports.ghostty_terminal_free(this.handle)}update(){return this.exports.ghostty_render_state_update(this.handle)}getCursor(){return this.update(),{x:this.exports.ghostty_render_state_get_cursor_x(this.handle),y:this.exports.ghostty_render_state_get_cursor_y(this.handle),viewportX:this.exports.ghostty_render_state_get_cursor_x(this.handle),viewportY:this.exports.ghostty_render_state_get_cursor_y(this.handle),visible:this.exports.ghostty_render_state_get_cursor_visible(this.handle),blinking:!1,style:"block"}}getColors(){let $=this.exports.ghostty_render_state_get_bg_color(this.handle),V=this.exports.ghostty_render_state_get_fg_color(this.handle);return{background:{r:$>>16&255,g:$>>8&255,b:$&255},foreground:{r:V>>16&255,g:V>>8&255,b:V&255},cursor:null}}isRowDirty($){return this.exports.ghostty_render_state_is_row_dirty(this.handle,$)}markClean(){this.exports.ghostty_render_state_mark_clean(this.handle)}getViewport(){let $=this._cols*this._rows,V=$*j.CELL_SIZE;return(!this.viewportBufferPtr||this.viewportBufferSize=this._rows)return null;this.update();let V=this.getViewport(),Z=$*this._cols;return V.slice(Z,Z+this._cols).map((J)=>({...J}))}isDirty(){return this.update()!==h.NONE}needsFullRedraw(){return this.update()===h.FULL}clearDirty(){this.markClean()}isAlternateScreen(){return!!this.exports.ghostty_terminal_is_alternate_screen(this.handle)}hasBracketedPaste(){return this.getMode(2004,!1)}hasFocusEvents(){return this.getMode(1004,!1)}hasMouseTracking(){return this.exports.ghostty_terminal_has_mouse_tracking(this.handle)!==0}getDimensions(){return{cols:this._cols,rows:this._rows}}getScrollbackLength(){return this.exports.ghostty_terminal_get_scrollback_length(this.handle)}getScrollbackLine($){let V=this._cols*j.CELL_SIZE;(!this.viewportBufferPtr||this.viewportBufferSize(this.listeners.push(j),{dispose:()=>{let $=this.listeners.indexOf(j);$>=0&&this.listeners.splice($,1)}})}fire(j){for(let $ of this.listeners)$(j)}dispose(){this.listeners=[]}}class $0{constructor(j){this.bufferChangeEmitter=new v,this.terminal=j}get active(){let j=this.terminal.wasmTerm;return j?j.isAlternateScreen()?this.alternate:this.normal:this.normal}get normal(){return this._normalBuffer||(this._normalBuffer=new m(this.terminal,"normal")),this._normalBuffer}get alternate(){return this._alternateBuffer||(this._alternateBuffer=new m(this.terminal,"alternate")),this._alternateBuffer}get onBufferChange(){return this.bufferChangeEmitter.event}_fireBufferChange(j){this.bufferChangeEmitter.fire(j)}}class m{constructor(j,$){this.terminal=j,this.bufferType=$;let V={codepoint:0,fg_r:204,fg_g:204,fg_b:204,bg_r:0,bg_g:0,bg_b:0,flags:0,width:1,hyperlink_id:0,grapheme_len:0};this.nullCell=new p(V,0)}get type(){return this.bufferType}get cursorX(){let j=this.getWasmTerm();return j?j.getCursor().x:0}get cursorY(){let j=this.getWasmTerm();return j?j.getCursor().y:0}get viewportY(){return 0}get baseY(){return 0}get length(){let j=this.getWasmTerm();return j?this.bufferType==="alternate"?j.rows:j.getScrollbackLength()+j.rows:0}getLine(j){let $=this.getWasmTerm();if(!$||j<0||j>=this.length)return;let V=$.getScrollbackLength(),Z,J,X;if(this.bufferType==="normal"&&j=this._length))return j>=this.cells.length?new p({codepoint:0,fg_r:204,fg_g:204,fg_b:204,bg_r:0,bg_g:0,bg_b:0,flags:0,width:1,hyperlink_id:0,grapheme_len:0},j):new p(this.cells[j],j)}translateToString(j=!1,$=0,V=this._length){let Z=Math.max(0,Math.min($,this._length)),J=Math.max(Z,Math.min(V,this._length)),X="";for(let K=Z;K1114111||j>=55296&&j<=57343?"�":String.fromCodePoint(j)}getCode(){return this.cell.codepoint}getWidth(){return this.cell.width}getFgColorMode(){return-1}getBgColorMode(){return-1}getFgColor(){return this.cell.fg_r<<16|this.cell.fg_g<<8|this.cell.fg_b}getBgColor(){return this.cell.bg_r<<16|this.cell.bg_g<<8|this.cell.bg_b}isBold(){return this.cell.flags&b.BOLD?1:0}isItalic(){return this.cell.flags&b.ITALIC?1:0}isUnderline(){return this.cell.flags&b.UNDERLINE?1:0}isStrikethrough(){return this.cell.flags&b.STRIKETHROUGH?1:0}isBlink(){return this.cell.flags&b.BLINK?1:0}isInverse(){return this.cell.flags&b.INVERSE?1:0}isInvisible(){return this.cell.flags&b.INVISIBLE?1:0}isFaint(){return this.cell.flags&b.FAINT?1:0}getHyperlinkId(){return this.cell.hyperlink_id}getCodepoint(){return this.cell.codepoint}isDim(){return(this.cell.flags&b.FAINT)!==0}}var _0={KeyA:G.A,KeyB:G.B,KeyC:G.C,KeyD:G.D,KeyE:G.E,KeyF:G.F,KeyG:G.G,KeyH:G.H,KeyI:G.I,KeyJ:G.J,KeyK:G.K,KeyL:G.L,KeyM:G.M,KeyN:G.N,KeyO:G.O,KeyP:G.P,KeyQ:G.Q,KeyR:G.R,KeyS:G.S,KeyT:G.T,KeyU:G.U,KeyV:G.V,KeyW:G.W,KeyX:G.X,KeyY:G.Y,KeyZ:G.Z,Digit1:G.ONE,Digit2:G.TWO,Digit3:G.THREE,Digit4:G.FOUR,Digit5:G.FIVE,Digit6:G.SIX,Digit7:G.SEVEN,Digit8:G.EIGHT,Digit9:G.NINE,Digit0:G.ZERO,Enter:G.ENTER,Escape:G.ESCAPE,Backspace:G.BACKSPACE,Tab:G.TAB,Space:G.SPACE,Minus:G.MINUS,Equal:G.EQUAL,BracketLeft:G.BRACKET_LEFT,BracketRight:G.BRACKET_RIGHT,Backslash:G.BACKSLASH,Semicolon:G.SEMICOLON,Quote:G.QUOTE,Backquote:G.GRAVE,Comma:G.COMMA,Period:G.PERIOD,Slash:G.SLASH,CapsLock:G.CAPS_LOCK,F1:G.F1,F2:G.F2,F3:G.F3,F4:G.F4,F5:G.F5,F6:G.F6,F7:G.F7,F8:G.F8,F9:G.F9,F10:G.F10,F11:G.F11,F12:G.F12,PrintScreen:G.PRINT_SCREEN,ScrollLock:G.SCROLL_LOCK,Pause:G.PAUSE,Insert:G.INSERT,Home:G.HOME,PageUp:G.PAGE_UP,Delete:G.DELETE,End:G.END,PageDown:G.PAGE_DOWN,ArrowRight:G.RIGHT,ArrowLeft:G.LEFT,ArrowDown:G.DOWN,ArrowUp:G.UP,NumLock:G.NUM_LOCK,NumpadDivide:G.KP_DIVIDE,NumpadMultiply:G.KP_MULTIPLY,NumpadSubtract:G.KP_MINUS,NumpadAdd:G.KP_PLUS,NumpadEnter:G.KP_ENTER,Numpad1:G.KP_1,Numpad2:G.KP_2,Numpad3:G.KP_3,Numpad4:G.KP_4,Numpad5:G.KP_5,Numpad6:G.KP_6,Numpad7:G.KP_7,Numpad8:G.KP_8,Numpad9:G.KP_9,Numpad0:G.KP_0,NumpadDecimal:G.KP_PERIOD,IntlBackslash:G.INTL_BACKSLASH,ContextMenu:G.CONTEXT_MENU,F13:G.F13,F14:G.F14,F15:G.F15,F16:G.F16,F17:G.F17,F18:G.F18,F19:G.F19,F20:G.F20,F21:G.F21,F22:G.F22,F23:G.F23,F24:G.F24},Z0=class j{constructor($,V,Z,J,X,K,z,O,W,R){this.keydownListener=null,this.keypressListener=null,this.pasteListener=null,this.beforeInputListener=null,this.compositionStartListener=null,this.compositionUpdateListener=null,this.compositionEndListener=null,this.mousedownListener=null,this.mouseupListener=null,this.mousemoveListener=null,this.wheelListener=null,this.isComposing=!1,this.compositionJustEnded=!1,this.pendingKeyAfterComposition=null,this.isDisposed=!1,this.mouseButtonsPressed=0,this.lastKeyDownData=null,this.lastKeyDownTime=0,this.lastPasteData=null,this.lastPasteTime=0,this.lastPasteSource=null,this.lastCompositionData=null,this.lastCompositionTime=0,this.lastBeforeInputData=null,this.lastBeforeInputTime=0,this.encoder=$.createKeyEncoder(),this.container=V,this.inputElement=W,this.onDataCallback=Z,this.onBellCallback=J,this.onKeyCallback=X,this.customKeyEventHandler=K,this.getModeCallback=z,this.onCopyCallback=O,this.mouseConfig=R,this.attach()}setCustomKeyEventHandler($){this.customKeyEventHandler=$}attach(){typeof this.container.hasAttribute=="function"&&typeof this.container.setAttribute=="function"&&(this.container.hasAttribute("tabindex")||this.container.setAttribute("tabindex","0"),this.container.style&&(this.container.style.outline="none")),this.keydownListener=this.handleKeyDown.bind(this),this.container.addEventListener("keydown",this.keydownListener),this.pasteListener=this.handlePaste.bind(this),this.container.addEventListener("paste",this.pasteListener),this.inputElement&&this.inputElement!==this.container&&this.inputElement.addEventListener("paste",this.pasteListener),this.inputElement&&(this.beforeInputListener=this.handleBeforeInput.bind(this),this.inputElement.addEventListener("beforeinput",this.beforeInputListener));let $=this.inputElement||this.container;this.compositionStartListener=this.handleCompositionStart.bind(this),$.addEventListener("compositionstart",this.compositionStartListener),this.compositionUpdateListener=this.handleCompositionUpdate.bind(this),$.addEventListener("compositionupdate",this.compositionUpdateListener),this.compositionEndListener=this.handleCompositionEnd.bind(this),$.addEventListener("compositionend",this.compositionEndListener),this.mousedownListener=this.handleMouseDown.bind(this),this.container.addEventListener("mousedown",this.mousedownListener),this.mouseupListener=this.handleMouseUp.bind(this),this.container.addEventListener("mouseup",this.mouseupListener),this.mousemoveListener=this.handleMouseMove.bind(this),this.container.addEventListener("mousemove",this.mousemoveListener),this.wheelListener=this.handleWheel.bind(this),this.container.addEventListener("wheel",this.wheelListener,{passive:!1})}mapKeyCode($){return _0[$]??null}extractModifiers($){let V=S.NONE;return $.shiftKey&&(V|=S.SHIFT),$.ctrlKey&&(V|=S.CTRL),$.altKey&&(V|=S.ALT),$.metaKey&&(V|=S.SUPER),V}isPrintableCharacter($){return $.ctrlKey&&!$.altKey||$.altKey&&!$.ctrlKey||$.metaKey?!1:$.key.length===1}handleKeyDown($){if(this.isDisposed||$.isComposing||$.keyCode===229)return;if(this.isComposing){this.pendingKeyAfterComposition=$.key,$.preventDefault();return}if(this.compositionJustEnded){this.compositionJustEnded=!1;return}if(this.onKeyCallback&&this.onKeyCallback({key:$.key,domEvent:$}),this.customKeyEventHandler){let X=this.customKeyEventHandler($);if(X===!0){$.preventDefault();return}if(X===!1)return}if(($.ctrlKey||$.metaKey)&&$.code==="KeyV")return;if($.metaKey&&$.code==="KeyC"){this.onCopyCallback&&this.onCopyCallback()&&$.preventDefault();return}if($.metaKey&&!$.ctrlKey)return;if(this.isPrintableCharacter($)){$.preventDefault(),this.onDataCallback($.key),this.recordKeyDownData($.key);return}let V=this.mapKeyCode($.code);if(V===null)return;let Z=this.extractModifiers($);if(Z===S.NONE||Z===S.SHIFT){let X=null;switch(V){case G.ENTER:X="\r";break;case G.TAB:Z===S.SHIFT?X="\x1B[Z":X="\t";break;case G.BACKSPACE:X="";break;case G.ESCAPE:X="\x1B";break;case G.HOME:X="\x1B[H";break;case G.END:X="\x1B[F";break;case G.INSERT:X="\x1B[2~";break;case G.DELETE:X="\x1B[3~";break;case G.PAGE_UP:X="\x1B[5~";break;case G.PAGE_DOWN:X="\x1B[6~";break;case G.F1:X="\x1BOP";break;case G.F2:X="\x1BOQ";break;case G.F3:X="\x1BOR";break;case G.F4:X="\x1BOS";break;case G.F5:X="\x1B[15~";break;case G.F6:X="\x1B[17~";break;case G.F7:X="\x1B[18~";break;case G.F8:X="\x1B[19~";break;case G.F9:X="\x1B[20~";break;case G.F10:X="\x1B[21~";break;case G.F11:X="\x1B[23~";break;case G.F12:X="\x1B[24~";break}if(X!==null){$.preventDefault(),this.onDataCallback(X),this.recordKeyDownData(X);return}}let J=g.PRESS;try{if(this.getModeCallback){let O=this.getModeCallback(1);this.encoder.setOption(r.CURSOR_KEY_APPLICATION,O)}let X=$.key.length===1&&$.key.charCodeAt(0)<128?$.key.toLowerCase():void 0,K=this.encoder.encode({action:J,key:V,mods:Z,utf8:X}),z=new TextDecoder().decode(K);$.preventDefault(),$.stopPropagation(),z.length>0&&(this.onDataCallback(z),this.recordKeyDownData(z))}catch(X){console.warn("Failed to encode key:",$.code,X)}}handlePaste($){if(this.isDisposed)return;$.preventDefault(),$.stopPropagation();let V=$.clipboardData;if(!V){console.warn("No clipboard data available");return}let Z=V.getData("text/plain");if(!Z){console.warn("No text in clipboard");return}this.shouldIgnorePasteEvent(Z,"paste")||(this.emitPasteData(Z),this.recordPasteData(Z,"paste"))}handleBeforeInput($){if(this.isDisposed||this.isComposing||$.isComposing)return;let V=$.inputType,Z=$.data??"",J=null;switch(V){case"insertText":case"insertReplacementText":J=Z.length>0?Z.replace(/\n/g,"\r"):null;break;case"insertLineBreak":case"insertParagraph":J="\r";break;case"deleteContentBackward":J="";break;case"deleteContentForward":J="\x1B[3~";break;case"insertFromPaste":if(!Z)return;if(this.shouldIgnorePasteEvent(Z,"beforeinput")){$.preventDefault(),$.stopPropagation();return}$.preventDefault(),$.stopPropagation(),this.emitPasteData(Z),this.recordPasteData(Z,"beforeinput");return;default:return}if(J){if(this.shouldIgnoreBeforeInput(J)){$.preventDefault(),$.stopPropagation();return}if(Z&&this.shouldIgnoreBeforeInputFromComposition(Z)){$.preventDefault(),$.stopPropagation();return}$.preventDefault(),$.stopPropagation(),this.onDataCallback(J),Z&&this.recordBeforeInputData(Z)}}handleCompositionStart($){this.isDisposed||(this.isComposing=!0)}handleCompositionUpdate($){this.isDisposed}handleCompositionEnd($){if(this.isDisposed)return;this.isComposing=!1;let V=$.data;if(V&&V.length>0){if(this.shouldIgnoreCompositionEnd(V)){this.cleanupCompositionTextNodes(),this.processPendingKeyAfterComposition();return}this.onDataCallback(V),this.recordCompositionData(V)}this.cleanupCompositionTextNodes(),this.processPendingKeyAfterComposition()}processPendingKeyAfterComposition(){if(this.pendingKeyAfterComposition){let $=this.pendingKeyAfterComposition;this.pendingKeyAfterComposition=null,this.onDataCallback($)}}cleanupCompositionTextNodes(){if(this.container&&this.container.childNodes)for(let $=this.container.childNodes.length-1;$>=0;$--){let V=this.container.childNodes[$];V.nodeType===3&&this.container.removeChild(V)}}pixelToCell($){if(!this.mouseConfig)return null;let V=this.mouseConfig.getCellDimensions(),Z=this.mouseConfig.getCanvasOffset();if(V.width<=0||V.height<=0)return null;let J=$.clientX-Z.left,X=$.clientY-Z.top,K=Math.floor(J/V.width)+1,z=Math.floor(X/V.height)+1;return{col:Math.max(1,K),row:Math.max(1,z)}}getMouseModifiers($){let V=0;return $.shiftKey&&(V|=4),$.metaKey&&(V|=8),$.ctrlKey&&(V|=16),V}encodeMouseSGR($,V,Z,J,X){return`\x1B[<${$+X};${V};${Z}${J?"m":"M"}`}encodeMouseX10($,V,Z,J){let X=$+J+32,K=String.fromCharCode(Math.min(V+32,255)),z=String.fromCharCode(Math.min(Z+32,255));return`\x1B[M${String.fromCharCode(X)}${K}${z}`}sendMouseEvent($,V,Z,J,X){var K,z;let O=this.getMouseModifiers(X),W=((z=(K=this.mouseConfig)==null?void 0:K.hasSgrMouseMode)==null?void 0:z.call(K))??!0,R;if(W)R=this.encodeMouseSGR($,V,Z,J,O);else{let U=J?3:$;R=this.encodeMouseX10(U,V,Z,O)}this.onDataCallback(R)}handleMouseDown($){var V;if(this.isDisposed||!((V=this.mouseConfig)!=null&&V.hasMouseTracking()))return;let Z=this.pixelToCell($);if(!Z)return;let J=$.button;this.mouseButtonsPressed|=1<=V.length||!V.getCell(j))){for(let Z of this.linkCache.values())if(this.isPositionInLink(j,$,Z))return Z;this.scannedRows.has($)||await this.scanRow($);for(let Z of this.linkCache.values())if(this.isPositionInLink(j,$,Z))return Z}}async scanRow(j){this.scannedRows.add(j);let $=[];for(let V of this.providers){let Z=await new Promise((J)=>{V.provideLinks(j,J)});Z&&$.push(...Z)}for(let V of $)this.cacheLink(V)}cacheLink(j){let{start:$,end:V}=j.range,Z=`r${$.y}:${$.x}-${V.x}`;this.linkCache.set(Z,j)}isPositionInLink(j,$,V){let{start:Z,end:J}=V.range;return $J.y?!1:Z.y===J.y?j>=Z.x&&j<=J.x:$===Z.y?j>=Z.x:$===J.y?j<=J.x:!0}invalidateCache(){this.linkCache.clear(),this.scannedRows.clear()}invalidateRows(j,$){for(let Z=j;Z<=$;Z++)this.scannedRows.delete(Z);let V=[];for(let[Z,J]of this.linkCache.entries()){let{start:X,end:K}=J.range;(X.y>=j&&X.y<=$||K.y>=j&&K.y<=$||X.y$)&&V.push(Z)}for(let Z of V)this.linkCache.delete(Z)}dispose(){var j;this.linkCache.clear(),this.scannedRows.clear();for(let $ of this.providers)(j=$.dispose)==null||j.call($);this.providers=[]}}class X0{constructor(j){this.terminal=j}provideLinks(j,$){let V=[],Z=new Set,J=this.terminal.buffer.active.getLine(j);if(!J){$(void 0);return}for(let X=0;X{(H.ctrlKey||H.metaKey)&&window.open(W,"_blank","noopener,noreferrer")}})}}$(V.length>0?V:void 0)}findLinkRange(j,$,V){let Z=this.terminal.buffer.active,J=$,X=V;for(;X>0;){let W=Z.getLine(J);if(!W)break;let R=W.getCell(X-1);if(!R||R.getHyperlinkId()!==j)break;X--}if(X===0&&J>0){let W=J-1;for(;W>=0;){let R=Z.getLine(W);if(!R||R.length===0)break;let U=R.getCell(R.length-1);if(!U||U.getHyperlinkId()!==j)break;J=W,X=0;for(let H=R.length-1;H>=0;H--){let L=R.getCell(H);if(!L||L.getHyperlinkId()!==j){X=H+1;break}}if(X===0)W--;else break}}let K=$,z=V,O=Z.getLine(K);if(O){for(;z8&&Z.push({text:z,range:{start:{x:O,y:$},end:{x:W,y:$}},activate:(U)=>{(U.ctrlKey||U.metaKey)&&window.open(z,"_blank","noopener,noreferrer")}}),K=j.URL_REGEX.exec(X)}V(Z.length>0?Z:void 0)}lineToText($){let V=[];for(let Z=0;Z<$.length;Z++){let J=$.getCell(Z);if(!J){V.push(" ");continue}let X=J.getCodepoint();X===0||X<32?V.push(" "):V.push(String.fromCodePoint(X))}return V.join("")}dispose(){}};I.URL_REGEX=/(?:https?:\/\/|mailto:|ftp:\/\/|ssh:\/\/|git:\/\/|tel:|magnet:|gemini:\/\/|gopher:\/\/|news:)[\w\-.~:\/?#@!$&*+,;=%]+/gi;I.TRAILING_PUNCTUATION=/[.,;!?)\]]+$/;var x0=I,d={foreground:"#d4d4d4",background:"#1e1e1e",cursor:"#ffffff",cursorAccent:"#1e1e1e",selectionBackground:"#d4d4d4",selectionForeground:"#1e1e1e",black:"#000000",red:"#cd3131",green:"#0dbc79",yellow:"#e5e510",blue:"#2472c8",magenta:"#bc3fbc",cyan:"#11a8cd",white:"#e5e5e5",brightBlack:"#666666",brightRed:"#f14c4c",brightGreen:"#23d18b",brightYellow:"#f5f543",brightBlue:"#3b8eea",brightMagenta:"#d670d6",brightCyan:"#29b8db",brightWhite:"#ffffff"};class K0{constructor(j,$={}){this.cursorVisible=!0,this.lastCursorPosition={x:0,y:0},this.lastViewportY=0,this.currentBuffer=null,this.currentSelectionCoords=null,this.hoveredHyperlinkId=0,this.previousHoveredHyperlinkId=0,this.hoveredLinkRange=null,this.previousHoveredLinkRange=null,this.canvas=j;let V=j.getContext("2d",{alpha:!0});if(!V)throw Error("Failed to get 2D rendering context");this.ctx=V,this.fontSize=$.fontSize??15,this.fontFamily=$.fontFamily??"monospace",this.cursorStyle=$.cursorStyle??"block",this.cursorBlink=$.cursorBlink??!1,this.theme={...d,...$.theme},this.devicePixelRatio=$.devicePixelRatio??window.devicePixelRatio??1,this.palette=[this.theme.black,this.theme.red,this.theme.green,this.theme.yellow,this.theme.blue,this.theme.magenta,this.theme.cyan,this.theme.white,this.theme.brightBlack,this.theme.brightRed,this.theme.brightGreen,this.theme.brightYellow,this.theme.brightBlue,this.theme.brightMagenta,this.theme.brightCyan,this.theme.brightWhite],this.metrics=this.measureFont(),this.cursorBlink&&this.startCursorBlink()}buildFontString(j=""){let $=this.fontFamily.split(",").map((V)=>{let Z=V.trim();return Z.startsWith('"')||Z.startsWith("'")||!Z.includes(" ")?Z:`"${Z}"`}).join(", ");return`${j}${this.fontSize}px ${$}`}measureFont(){let j=document.createElement("canvas").getContext("2d");j.font=this.buildFontString();let $=j.measureText("M"),V=Math.ceil($.width),Z=$.fontBoundingBoxAscent??$.actualBoundingBoxAscent??this.fontSize*0.8,J=$.fontBoundingBoxDescent??$.actualBoundingBoxDescent??this.fontSize*0.2,X=Math.ceil(Z+J),K=Math.ceil(Z);return{width:V,height:X,baseline:K}}remeasureFont(){this.metrics=this.measureFont()}rgbToCSS(j,$,V){return`rgb(${j}, ${$}, ${V})`}resize(j,$){let V=j*this.metrics.width,Z=$*this.metrics.height;this.canvas.style.width=`${V}px`,this.canvas.style.height=`${Z}px`,this.canvas.width=V*this.devicePixelRatio,this.canvas.height=Z*this.devicePixelRatio,this.ctx.scale(this.devicePixelRatio,this.devicePixelRatio),this.ctx.textBaseline="alphabetic",this.ctx.textAlign="left",this.ctx.fillStyle=this.theme.background,this.ctx.fillRect(0,0,V,Z)}render(j,$=!1,V=0,Z,J=1){var X;let K=0,z=null;typeof V=="object"?z=V:K=V,this.currentBuffer=j;let O=j.getCursor(),W=j.getDimensions(),R=Z?Z.getScrollbackLength():0;(X=j.needsFullRedraw)!=null&&X.call(j)&&($=!0),(this.canvas.width!==W.cols*this.metrics.width*this.devicePixelRatio||this.canvas.height!==W.rows*this.metrics.height*this.devicePixelRatio)&&(this.resize(W.cols,W.rows),$=!0),K!==this.lastViewportY&&($=!0,this.lastViewportY=K);let U=O.x!==this.lastCursorPosition.x||O.y!==this.lastCursorPosition.y;if(U||this.cursorBlink){if(!$&&!j.isRowDirty(O.y)){let q=j.getLine(O.y);q&&this.renderLine(q,O.y,W.cols)}if(U&&this.lastCursorPosition.y!==O.y&&!$&&!j.isRowDirty(this.lastCursorPosition.y)){let q=j.getLine(this.lastCursorPosition.y);q&&this.renderLine(q,this.lastCursorPosition.y,W.cols)}}let H=z||this.selectionManager&&this.selectionManager.hasSelection(),L=new Set;if(z?this.currentSelectionCoords={startCol:z.start.x,startRow:z.start.y,endCol:z.end.x,endRow:z.end.y}:this.currentSelectionCoords=H?this.selectionManager.getSelectionCoords():null,this.currentSelectionCoords){let q=this.currentSelectionCoords;for(let P=q.startRow;P<=q.endRow;P++)L.add(P)}if(this.selectionManager){let q=this.selectionManager.getDirtySelectionRows();if(q.size>0){for(let P of q)L.add(P);this.selectionManager.clearDirtySelectionRows()}}let Y=new Set,T=this.hoveredHyperlinkId!==this.previousHoveredHyperlinkId,x=JSON.stringify(this.hoveredLinkRange)!==JSON.stringify(this.previousHoveredLinkRange);if(T){for(let q=0;q0)if(q0?!0:$||j.isRowDirty(q)||L.has(q)||Y.has(q))&&(N.add(q),q>0&&N.add(q-1),q0)if(q0?q-Math.floor(K):q;P=j.getLine(_)}else P=j.getLine(q);P&&this.renderLine(P,q,W.cols)}if(K===0&&O.visible&&this.cursorVisible){let q=O.style??this.cursorStyle;this.renderCursor(O.x,O.y,q)}Z&&J>0&&this.renderScrollbar(K,R,W.rows,J),this.lastCursorPosition={x:O.x,y:O.y},j.clearDirty()}renderLine(j,$,V){let Z=$*this.metrics.height,J=V*this.metrics.width;this.ctx.clearRect(0,Z,J,this.metrics.height),this.ctx.fillStyle=this.theme.background,this.ctx.fillRect(0,Z,J,this.metrics.height);for(let X=0;X0&&((J=this.currentBuffer)!=null&&J.getGraphemeString)?T=this.currentBuffer.getGraphemeString(V,$):T=String.fromCodePoint(j.codepoint||32);let x=j.codepoint||32;if(this.renderBlockChar(x,X,K,z)||this.renderPowerlineGlyph(x,X,K,z)||this.ctx.fillText(T,L,Y),j.flags&b.FAINT&&(this.ctx.globalAlpha=1),j.flags&b.UNDERLINE){let N=K+this.metrics.baseline+2;this.ctx.strokeStyle=this.ctx.fillStyle,this.ctx.lineWidth=1,this.ctx.beginPath(),this.ctx.moveTo(X,N),this.ctx.lineTo(X+z,N),this.ctx.stroke()}if(j.flags&b.STRIKETHROUGH){let N=K+this.metrics.height/2;this.ctx.strokeStyle=this.ctx.fillStyle,this.ctx.lineWidth=1,this.ctx.beginPath(),this.ctx.moveTo(X,N),this.ctx.lineTo(X+z,N),this.ctx.stroke()}if(j.hyperlink_id>0&&j.hyperlink_id===this.hoveredHyperlinkId){let N=K+this.metrics.baseline+2;this.ctx.strokeStyle="#4A90E2",this.ctx.lineWidth=1,this.ctx.beginPath(),this.ctx.moveTo(X,N),this.ctx.lineTo(X+z,N),this.ctx.stroke()}if(this.hoveredLinkRange){let N=this.hoveredLinkRange;if(V===N.startY&&$>=N.startX&&(VN.startY&&VN.startY||$>=N.startX)){let q=K+this.metrics.baseline+2;this.ctx.strokeStyle="#4A90E2",this.ctx.lineWidth=1,this.ctx.beginPath(),this.ctx.moveTo(X,q),this.ctx.lineTo(X+z,q),this.ctx.stroke()}}}renderBlockChar(j,$,V,Z){let J=this.metrics.height;switch(j){case 9600:return this.ctx.fillRect($,V,Z,J/2),!0;case 9601:return this.ctx.fillRect($,V+J*7/8,Z,J/8),!0;case 9602:return this.ctx.fillRect($,V+J*3/4,Z,J/4),!0;case 9603:return this.ctx.fillRect($,V+J*5/8,Z,J*3/8),!0;case 9604:return this.ctx.fillRect($,V+J/2,Z,J/2),!0;case 9605:return this.ctx.fillRect($,V+J*3/8,Z,J*5/8),!0;case 9606:return this.ctx.fillRect($,V+J/4,Z,J*3/4),!0;case 9607:return this.ctx.fillRect($,V+J/8,Z,J*7/8),!0;case 9608:return this.ctx.fillRect($,V,Z,J),!0;case 9609:return this.ctx.fillRect($,V,Z*7/8,J),!0;case 9610:return this.ctx.fillRect($,V,Z*3/4,J),!0;case 9611:return this.ctx.fillRect($,V,Z*5/8,J),!0;case 9612:return this.ctx.fillRect($,V,Z/2,J),!0;case 9613:return this.ctx.fillRect($,V,Z*3/8,J),!0;case 9614:return this.ctx.fillRect($,V,Z/4,J),!0;case 9615:return this.ctx.fillRect($,V,Z/8,J),!0;case 9616:return this.ctx.fillRect($+Z/2,V,Z/2,J),!0;case 9620:return this.ctx.fillRect($,V,Z,J/8),!0;case 9621:return this.ctx.fillRect($+Z*7/8,V,Z/8,J),!0;default:return!1}}renderPowerlineGlyph(j,$,V,Z){let J=this.metrics.height,X=this.ctx;switch(j){case 57520:return X.beginPath(),X.moveTo($,V),X.lineTo($+Z,V+J/2),X.lineTo($,V+J),X.closePath(),X.fill(),!0;case 57521:return X.beginPath(),X.moveTo($,V),X.lineTo($+Z,V+J/2),X.lineTo($,V+J),X.strokeStyle=X.fillStyle,X.lineWidth=1,X.stroke(),!0;case 57522:return X.beginPath(),X.moveTo($+Z,V),X.lineTo($,V+J/2),X.lineTo($+Z,V+J),X.closePath(),X.fill(),!0;case 57523:return X.beginPath(),X.moveTo($+Z,V),X.lineTo($,V+J/2),X.lineTo($+Z,V+J),X.strokeStyle=X.fillStyle,X.lineWidth=1,X.stroke(),!0;case 57524:return X.beginPath(),X.moveTo($,V),X.ellipse($,V+J/2,Z,J/2,0,-Math.PI/2,Math.PI/2,!1),X.closePath(),X.fill(),!0;case 57525:return X.beginPath(),X.moveTo($,V),X.ellipse($,V+J/2,Z,J/2,0,-Math.PI/2,Math.PI/2,!1),X.strokeStyle=X.fillStyle,X.lineWidth=1,X.stroke(),!0;case 57526:return X.beginPath(),X.moveTo($+Z,V),X.ellipse($+Z,V+J/2,Z,J/2,0,-Math.PI/2,Math.PI/2,!0),X.closePath(),X.fill(),!0;case 57527:return X.beginPath(),X.moveTo($+Z,V),X.ellipse($+Z,V+J/2,Z,J/2,0,-Math.PI/2,Math.PI/2,!0),X.strokeStyle=X.fillStyle,X.lineWidth=1,X.stroke(),!0;default:return!1}}renderCursor(j,$,V){var Z;let J=j*this.metrics.width,X=$*this.metrics.height,K=V??this.cursorStyle;switch(this.ctx.fillStyle=this.theme.cursor,K){case"block":this.ctx.fillRect(J,X,this.metrics.width,this.metrics.height);let z=(Z=this.currentBuffer)==null?void 0:Z.getLine($);z!=null&&z[j]&&this.renderCellText(z[j],j,$,this.theme.cursorAccent);break;case"underline":let O=Math.max(2,Math.floor(this.metrics.height*0.15));this.ctx.fillRect(J,X+this.metrics.height-O,this.metrics.width,O);break;case"bar":let W=Math.max(2,Math.floor(this.metrics.width*0.15));this.ctx.fillRect(J,X,W,this.metrics.height);break}}startCursorBlink(){this.cursorBlinkInterval=window.setInterval(()=>{this.cursorVisible=!this.cursorVisible},530)}stopCursorBlink(){this.cursorBlinkInterval!==void 0&&(clearInterval(this.cursorBlinkInterval),this.cursorBlinkInterval=void 0),this.cursorVisible=!0}setTheme(j){this.theme={...d,...j},this.palette=[this.theme.black,this.theme.red,this.theme.green,this.theme.yellow,this.theme.blue,this.theme.magenta,this.theme.cyan,this.theme.white,this.theme.brightBlack,this.theme.brightRed,this.theme.brightGreen,this.theme.brightYellow,this.theme.brightBlue,this.theme.brightMagenta,this.theme.brightCyan,this.theme.brightWhite]}setFontSize(j){this.fontSize=j,this.metrics=this.measureFont()}setFontFamily(j){this.fontFamily=j,this.metrics=this.measureFont()}setCursorStyle(j){this.cursorStyle=j}setCursorBlink(j){j&&!this.cursorBlink?(this.cursorBlink=!0,this.startCursorBlink()):!j&&this.cursorBlink&&(this.cursorBlink=!1,this.stopCursorBlink())}renderScrollbar(j,$,V,Z=1){let J=this.ctx,X=this.canvas.height/this.devicePixelRatio,K=this.canvas.width/this.devicePixelRatio,O=K-8-4,R=X-8;if(J.clearRect(O-2,0,14,X),J.fillStyle=this.theme.background,J.fillRect(O-2,0,14,X),Z<=0||$===0)return;let U=$+V,H=Math.max(20,V/U*R),L=j/$,Y=4+(R-H)*(1-L);J.fillStyle=`rgba(128, 128, 128, ${0.1*Z})`,J.fillRect(O,4,8,R);let T=j>0?0.5:0.3;J.fillStyle=`rgba(128, 128, 128, ${T*Z})`,J.fillRect(O,Y,8,H)}getMetrics(){return{...this.metrics}}getCanvas(){return this.canvas}setSelectionManager(j){this.selectionManager=j}isInSelection(j,$){let V=this.currentSelectionCoords;if(!V)return!1;let{startCol:Z,startRow:J,endCol:X,endRow:K}=V;return J===K?$===J&&j>=Z&&j<=X:$===J?j>=Z:$===K?j<=X:$>J&&$J||V===J&&$>Z)&&([$,Z]=[Z,$],[V,J]=[J,V]);let X=this.wasmTerm.getScrollbackLength(),K="";for(let z=V;z<=J;z++){let O=null;if(z0)if(z=0?H=H.substring(0,W):H="",K+=H,z=J.cols;)K-=J.cols,X++;X=Math.min(X,J.rows-1);let z=this.getViewportY();this.selectionStart={col:$,absoluteRow:z+V},this.selectionEnd={col:K,absoluteRow:z+X},this.requestRender(),this.selectionChangedEmitter.fire()}selectLines($,V){let Z=this.wasmTerm.getDimensions();$=Math.max(0,Math.min($,Z.rows-1)),V=Math.max(0,Math.min(V,Z.rows-1)),$>V&&([$,V]=[V,$]);let J=this.getViewportY();this.selectionStart={col:0,absoluteRow:J+$},this.selectionEnd={col:Z.cols-1,absoluteRow:J+V},this.requestRender(),this.selectionChangedEmitter.fire()}getSelectionPosition(){let $=this.normalizeSelection();if($)return{start:{x:$.startCol,y:$.startRow},end:{x:$.endCol,y:$.endRow}}}deselect(){this.clearSelection(),this.selectionChangedEmitter.fire()}focus(){let $=this.renderer.getCanvas();$.parentElement&&$.parentElement.focus()}getSelectionCoords(){return this.normalizeSelection()}getDirtySelectionRows(){return this.dirtySelectionRows}clearDirtySelectionRows(){this.dirtySelectionRows.clear()}get onSelectionChange(){return this.selectionChangedEmitter.event}dispose(){this.selectionChangedEmitter.dispose(),this.stopAutoScroll(),this.boundMouseUpHandler&&(document.removeEventListener("mouseup",this.boundMouseUpHandler),this.boundMouseUpHandler=null),this.boundDocumentMouseMoveHandler&&(document.removeEventListener("mousemove",this.boundDocumentMouseMoveHandler),this.boundDocumentMouseMoveHandler=null),this.boundContextMenuHandler&&(this.renderer.getCanvas().removeEventListener("contextmenu",this.boundContextMenuHandler),this.boundContextMenuHandler=null),this.boundClickHandler&&(document.removeEventListener("click",this.boundClickHandler),this.boundClickHandler=null)}hasSGRMouseMode(){let $=this.terminal.wasmTerm;return $?$.getMode(1006,!1):!1}shouldReportMotion($){let V=this.terminal.wasmTerm;return V?!!(V.getMode(1003,!1)||V.getMode(1002,!1)&&$):!1}mapButton($){return $>=0&&$<=2?$:null}encodeModifiers($){let V=0;return $.shiftKey&&(V+=4),($.altKey||$.metaKey)&&(V+=8),$.ctrlKey&&(V+=16),V}sendMouseEvent($,V,Z,J,X=0,K=!1){var z;if(!this.hasSGRMouseMode())return;let O=$+1,W=V+1,R=Z;K&&(R+=32),R+=X;let U=`\x1B[<${R};${O};${W}${J?"m":"M"}`;(z=this.terminal.dataEmitter)==null||z.fire(U)}sendScrollEvent($,V,Z,J=0){let X=Z?64:65;this.sendMouseEvent($,V,X,!1,J,!1)}attachEventListeners(){let $=this.renderer.getCanvas();$.addEventListener("mousedown",(V)=>{$.parentElement&&$.parentElement.focus();let Z=this.pixelToCell(V.offsetX,V.offsetY);if(this.terminal.hasMouseTracking()){let J=this.mapButton(V.button);if(J===null)return;this.mouseButtonsPressed.add(J);let X=this.encodeModifiers(V);this.sendMouseEvent(Z.col,Z.row,J,!1,X),V.preventDefault();return}if(V.button===0){this.hasSelection()&&this.clearSelection();let J=this.viewportRowToAbsolute(Z.row);this.selectionStart={col:Z.col,absoluteRow:J},this.selectionEnd={col:Z.col,absoluteRow:J},this.isSelecting=!0}}),$.addEventListener("mousemove",(V)=>{if(this.terminal.hasMouseTracking()){let Z=this.mouseButtonsPressed.size>0;if(this.shouldReportMotion(Z)){let J=this.pixelToCell(V.offsetX,V.offsetY),X=this.encodeModifiers(V),K=Z?[...this.mouseButtonsPressed][0]:3;this.sendMouseEvent(J.col,J.row,K,!1,X,!0);return}if(Z)return}if(this.isSelecting){this.markCurrentSelectionDirty();let Z=this.pixelToCell(V.offsetX,V.offsetY),J=this.viewportRowToAbsolute(Z.row);this.selectionEnd={col:Z.col,absoluteRow:J},this.requestRender(),this.updateAutoScroll(V.offsetY,$.clientHeight)}}),$.addEventListener("mouseleave",(V)=>{if(this.isSelecting){let Z=$.getBoundingClientRect();V.clientYZ.bottom&&this.startAutoScroll(1)}}),$.addEventListener("mouseenter",()=>{this.isSelecting&&this.stopAutoScroll()}),this.boundDocumentMouseMoveHandler=(V)=>{if(this.isSelecting){let Z=$.getBoundingClientRect(),J=Math.max(Z.left,Math.min(V.clientX,Z.right)),X=Math.max(Z.top,Math.min(V.clientY,Z.bottom)),K=J-Z.left,z=X-Z.top;if((V.clientXZ.right||V.clientYZ.bottom)&&(V.clientYZ.bottom?this.startAutoScroll(1):this.stopAutoScroll(),this.autoScrollDirection===0)){this.markCurrentSelectionDirty();let O=this.pixelToCell(K,z),W=this.viewportRowToAbsolute(O.row);this.selectionEnd={col:O.col,absoluteRow:W},this.requestRender()}}},document.addEventListener("mousemove",this.boundDocumentMouseMoveHandler),document.addEventListener("mousedown",(V)=>{this.mouseDownTarget=V.target}),this.boundMouseUpHandler=(V)=>{let Z=this.mapButton(V.button);if(Z!==null&&this.mouseButtonsPressed.has(Z)&&this.terminal.hasMouseTracking()){let J=$.getBoundingClientRect(),X=Math.max(0,Math.min(V.clientX-J.left,J.width)),K=Math.max(0,Math.min(V.clientY-J.top,J.height)),z=this.pixelToCell(X,K),O=this.encodeModifiers(V);this.sendMouseEvent(z.col,z.row,Z,!0,O),this.mouseButtonsPressed.delete(Z);return}if(Z!==null&&this.mouseButtonsPressed.delete(Z),this.isSelecting){if(this.isSelecting=!1,this.stopAutoScroll(),this.selectionStart&&this.selectionEnd&&this.selectionStart.col===this.selectionEnd.col&&this.selectionStart.absoluteRow===this.selectionEnd.absoluteRow){this.selectionStart=null,this.selectionEnd=null;return}if(this.hasSelection()){let J=this.getSelection();J&&(this.copyToClipboard(J),this.selectionChangedEmitter.fire())}}},document.addEventListener("mouseup",this.boundMouseUpHandler),$.addEventListener("click",(V)=>{if(V.detail===2){let Z=this.pixelToCell(V.offsetX,V.offsetY),J=this.getWordAtCell(Z.col,Z.row);if(J){let X=this.viewportRowToAbsolute(Z.row);this.selectionStart={col:J.startCol,absoluteRow:X},this.selectionEnd={col:J.endCol,absoluteRow:X},this.requestRender();let K=this.getSelection();K&&(this.copyToClipboard(K),this.selectionChangedEmitter.fire())}}else if(V.detail>=3){let Z=this.pixelToCell(V.offsetX,V.offsetY),J=this.viewportRowToAbsolute(Z.row),X=this.wasmTerm.getScrollbackLength(),K=null;if(J=0;O--)if(K[O]&&K[O].codepoint!==0&&K[O].codepoint!==32){z=O;break}}if(z>=0){this.selectionStart={col:0,absoluteRow:J},this.selectionEnd={col:z,absoluteRow:J},this.requestRender();let O=this.getSelection();O&&(this.copyToClipboard(O),this.selectionChangedEmitter.fire())}}}),this.boundContextMenuHandler=(V)=>{if(this.terminal.hasMouseTracking()){V.preventDefault();return}if(this.renderer.getCanvas().getBoundingClientRect(),this.textarea.style.position="fixed",this.textarea.style.left=`${V.clientX}px`,this.textarea.style.top=`${V.clientY}px`,this.textarea.style.width="1px",this.textarea.style.height="1px",this.textarea.style.zIndex="1000",this.textarea.style.opacity="0",this.textarea.style.pointerEvents="auto",this.hasSelection()){let Z=this.getSelection();this.textarea.value=Z,this.textarea.select(),this.textarea.setSelectionRange(0,Z.length)}else this.textarea.value="";this.textarea.focus(),setTimeout(()=>{let Z=()=>{this.textarea.style.pointerEvents="none",this.textarea.style.zIndex="-10",this.textarea.style.width="0",this.textarea.style.height="0",this.textarea.style.left="0",this.textarea.style.top="0",this.textarea.value="",document.removeEventListener("click",Z),document.removeEventListener("contextmenu",Z),this.textarea.removeEventListener("blur",Z)};document.addEventListener("click",Z,{once:!0}),document.addEventListener("contextmenu",Z,{once:!0}),this.textarea.addEventListener("blur",Z,{once:!0})},10)},$.addEventListener("contextmenu",this.boundContextMenuHandler),this.boundClickHandler=(V)=>{if(this.isSelecting||this.mouseDownTarget&&$.contains(this.mouseDownTarget))return;let Z=V.target;$.contains(Z)||this.hasSelection()&&this.clearSelection()},document.addEventListener("click",this.boundClickHandler)}markCurrentSelectionDirty(){let $=this.normalizeSelection();if($)for(let V=$.startRow;V<=$.endRow;V++)this.dirtySelectionRows.add(V)}updateAutoScroll($,V){let Z=j.AUTO_SCROLL_EDGE_SIZE;$V-Z?this.startAutoScroll(1):this.stopAutoScroll()}startAutoScroll($){this.autoScrollInterval!==null&&this.autoScrollDirection===$||(this.stopAutoScroll(),this.autoScrollDirection=$,this.autoScrollInterval=setInterval(()=>{if(!this.isSelecting){this.stopAutoScroll();return}let V=j.AUTO_SCROLL_SPEED*this.autoScrollDirection;if(this.terminal.scrollLines(V),this.selectionEnd){let Z=this.wasmTerm.getDimensions();if(this.autoScrollDirection<0){let J=this.viewportRowToAbsolute(0);Jthis.selectionEnd.absoluteRow&&(this.selectionEnd={col:Z.cols-1,absoluteRow:J})}}this.requestRender()},j.AUTO_SCROLL_INTERVAL))}stopAutoScroll(){this.autoScrollInterval!==null&&(clearInterval(this.autoScrollInterval),this.autoScrollInterval=null),this.autoScrollDirection=0}pixelToCell($,V){let Z=this.renderer.getMetrics(),J=Math.floor($/Z.width),X=Math.floor(V/Z.height);return{col:Math.max(0,Math.min(J,this.terminal.cols-1)),row:Math.max(0,Math.min(X,this.terminal.rows-1))}}normalizeSelection(){if(!this.selectionStart||!this.selectionEnd)return null;let{col:$,absoluteRow:V}=this.selectionStart,{col:Z,absoluteRow:J}=this.selectionEnd;(V>J||V===J&&$>Z)&&([$,Z]=[Z,$],[V,J]=[J,V]);let X=this.absoluteRowToViewport(V),K=this.absoluteRowToViewport(J),z=this.wasmTerm.getDimensions(),O=z.rows-1;return K<0||X>O?null:(X<0&&(X=0,$=0),K>O&&(K=O,Z=z.cols-1),{startCol:$,startRow:X,endCol:Z,endRow:K})}getWordAtCell($,V){let Z=this.wasmTerm.getLine(V);if(!Z)return null;let J=(z)=>{if(!z||z.codepoint===0)return!1;let O=String.fromCodePoint(z.codepoint);return/[\w\-./~:@+]/.test(O)};if(!J(Z[$]))return null;let X=$;for(;X>0&&J(Z[X-1]);)X--;let K=$;for(;K{console.warn("ClipboardItem write failed, trying writeText:",J),this.copyWithWriteText($)});return}catch{}if(navigator.clipboard&&navigator.clipboard.writeText){navigator.clipboard.writeText($).catch((V)=>{console.warn("Clipboard writeText failed, trying execCommand:",V),this.copyWithExecCommand($)});return}this.copyWithExecCommand($)}}copyWithWriteText($){navigator.clipboard&&navigator.clipboard.writeText?navigator.clipboard.writeText($).catch((V)=>{console.warn("Clipboard writeText failed, trying execCommand:",V),this.copyWithExecCommand($)}):this.copyWithExecCommand($)}copyWithExecCommand($){let V=document.activeElement;try{let Z=this.textarea;Z.value=$,Z.style.position="fixed",Z.style.left="-9999px",Z.style.top="0",Z.style.width="1px",Z.style.height="1px",Z.style.opacity="0",Z.focus(),Z.select(),Z.setSelectionRange(0,$.length);let J=document.execCommand("copy");V&&V.focus(),J||console.warn("execCommand copy failed")}catch(Z){console.warn("execCommand copy threw:",Z),V&&V.focus()}}requestRender(){}};w.AUTO_SCROLL_EDGE_SIZE=30;w.AUTO_SCROLL_SPEED=3;w.AUTO_SCROLL_INTERVAL=50;var v0=w;class z0{constructor(j){this.terminal=j}getLine(j){var $;let V=this.terminal.getSnapshotCells();return V&&j>=0&&j=0&&j{if(!this.wasmTerm||this.scrollAnimationStartTime===void 0)return;let V=this.options.smoothScrollDuration??100,Z=this.targetViewportY-this.viewportY;if(Math.abs(Z)<0.01){this.viewportY=this.targetViewportY,this.scrollEmitter.fire(Math.floor(this.viewportY)),this.getScrollbackLength()>0&&this.showScrollbar(),this.scrollAnimationFrame=void 0,this.scrollAnimationStartTime=void 0,this.scrollAnimationStartY=void 0;return}let J=1-(1/(V/1000*60))**2;this.viewportY+=Z*J;let X=Math.floor(this.viewportY);this.scrollEmitter.fire(X),this.getScrollbackLength()>0&&this.showScrollbar(),this.scrollAnimationFrame=requestAnimationFrame(this.animateScroll)},this.handleMouseMove=(V)=>{if(!(!this.canvas||!this.renderer||!this.wasmTerm)){if(this.isDraggingScrollbar){this.processScrollbarDrag(V);return}if(this.linkDetector){if(this.mouseMoveThrottleTimeout){this.pendingMouseMove=V;return}this.processMouseMove(V),this.mouseMoveThrottleTimeout=window.setTimeout(()=>{if(this.mouseMoveThrottleTimeout=void 0,this.pendingMouseMove){let Z=this.pendingMouseMove;this.pendingMouseMove=void 0,this.processMouseMove(Z)}},16)}}},this.handleMouseLeave=()=>{var V,Z;this.renderer&&this.wasmTerm&&((this.renderer.hoveredHyperlinkId||0)>0&&this.renderer.setHoveredHyperlinkId(0),this.renderer.setHoveredLinkRange(null)),this.currentHoveredLink&&((Z=(V=this.currentHoveredLink).hover)==null||Z.call(V,!1),this.currentHoveredLink=void 0,this.element&&(this.element.style.cursor="text"))},this.handleClick=async(V)=>{if(!this.canvas||!this.renderer||!this.linkDetector||!this.wasmTerm)return;let Z=this.canvas.getBoundingClientRect(),J=Math.floor((V.clientX-Z.left)/this.renderer.charWidth),X=Math.floor((V.clientY-Z.top)/this.renderer.charHeight),K=this.wasmTerm.getScrollbackLength(),z,O=this.getViewportY(),W=Math.max(0,Math.floor(O));if(W>0)if(X{var Z,J,X,K;if(V.preventDefault(),V.stopPropagation(),this.customWheelEventHandler&&this.customWheelEventHandler(V))return;let z=((Z=this.wasmTerm)==null?void 0:Z.getMode(1006,!1))??!1;if(this.hasMouseTracking()&&z&&this.canvas&&this.renderer){let O=this.canvas.getBoundingClientRect(),W=V.clientX-O.left,R=V.clientY-O.top,U=this.renderer.getMetrics(),H=Math.max(0,Math.min(Math.floor(W/U.width),this.cols-1)),L=Math.max(0,Math.min(Math.floor(R/U.height),this.rows-1)),Y=0;V.shiftKey&&(Y+=4),(V.altKey||V.metaKey)&&(Y+=8),V.ctrlKey&&(Y+=16);let T=Math.min(Math.abs(Math.round(V.deltaY/33)),5),x=(V.deltaY<0?64:65)+Y;for(let N=0;N0?"down":"up",W=Math.min(Math.abs(Math.round(V.deltaY/33)),5);for(let R=0;R{if(!this.canvas||!this.renderer||!this.wasmTerm)return;let Z=this.wasmTerm.getScrollbackLength();if(Z===0)return;let J=this.canvas.getBoundingClientRect(),X=V.clientX-J.left,K=V.clientY-J.top,z=J.width,O=J.height,W=8,R=z-W-4,U=4;if(X>=R&&X<=R+W){V.preventDefault(),V.stopPropagation(),V.stopImmediatePropagation();let H=O-U*2,L=this.rows,Y=Z+L,T=Math.max(20,L/Y*H),x=this.viewportY/Z,N=U+(H-T)*(1-x);if(K>=N&&K<=N+T)this.isDraggingScrollbar=!0,this.scrollbarDragStart=K,this.scrollbarDragStartViewportY=this.viewportY,this.canvas&&(this.canvas.style.userSelect="none",this.canvas.style.webkitUserSelect="none");else{let q=1-(K-U)/H,P=Math.round(q*Z);this.scrollToLine(Math.max(0,Math.min(Z,P)))}}},this.handleMouseUp=()=>{this.isDraggingScrollbar&&(this.isDraggingScrollbar=!1,this.scrollbarDragStart=null,this.canvas&&(this.canvas.style.userSelect="",this.canvas.style.webkitUserSelect=""),this.scrollbarVisible&&this.getScrollbackLength()>0&&this.showScrollbar())},this.ghostty=j.ghostty??M0(),this.linkClickHandler=j.onLinkClick;let $={cols:j.cols??80,rows:j.rows??24,cursorBlink:j.cursorBlink??!1,cursorStyle:j.cursorStyle??"block",theme:j.theme??{},scrollback:j.scrollback??1e4,fontSize:j.fontSize??15,fontFamily:j.fontFamily??"monospace",allowTransparency:j.allowTransparency??!1,convertEol:j.convertEol??!1,disableStdin:j.disableStdin??!1,smoothScrollDuration:j.smoothScrollDuration??100};this.options=new Proxy($,{set:(V,Z,J)=>{let X=V[Z];return V[Z]=J,this.isOpen&&this.handleOptionChange(Z,J,X),!0}}),this.cols=this.options.cols,this.rows=this.options.rows,this.buffer=new $0(this),this.snapshotBuffer=new z0(this)}handleOptionChange(j,$,V){if($!==V)switch(j){case"disableStdin":break;case"cursorBlink":case"cursorStyle":this.renderer&&(this.renderer.setCursorStyle(this.options.cursorStyle),this.renderer.setCursorBlink(this.options.cursorBlink));break;case"theme":this.renderer&&(this.renderer.setTheme(this.options.theme),this.wasmTerm&&this.renderer.render(this.wasmTerm,!0,this.viewportY,this));break;case"fontSize":this.renderer&&(this.renderer.setFontSize(this.options.fontSize),this.handleFontChange());break;case"fontFamily":this.renderer&&(this.renderer.setFontFamily(this.options.fontFamily),this.handleFontChange());break;case"cols":case"rows":this.resize(this.options.cols,this.options.rows);break}}handleFontChange(){if(!this.renderer||!this.wasmTerm||!this.canvas)return;this.selectionManager&&this.selectionManager.clearSelection(),this.renderer.resize(this.cols,this.rows);let j=this.renderer.getMetrics();this.canvas.width=j.width*this.cols,this.canvas.height=j.height*this.rows,this.canvas.style.width=`${j.width*this.cols}px`,this.canvas.style.height=`${j.height*this.rows}px`,this.renderer.render(this.wasmTerm,!0,this.viewportY,this)}parseColorToHex(j){if(!j)return 0;if(j.startsWith("#")){let V=j.slice(1);V.length===3&&(V=V[0]+V[0]+V[1]+V[1]+V[2]+V[2]);let Z=Number.parseInt(V,16);return Number.isNaN(Z)?0:Z}let $=j.match(/rgb\((\d+),\s*(\d+),\s*(\d+)\)/);if($){let V=Number.parseInt($[1],10),Z=Number.parseInt($[2],10),J=Number.parseInt($[3],10);return V<<16|Z<<8|J}return 0}buildWasmConfig(){let j=this.options.theme,$=this.options.scrollback;if(!j&&$===1e4)return;let V={...d,...j},Z=[this.parseColorToHex(V.black),this.parseColorToHex(V.red),this.parseColorToHex(V.green),this.parseColorToHex(V.yellow),this.parseColorToHex(V.blue),this.parseColorToHex(V.magenta),this.parseColorToHex(V.cyan),this.parseColorToHex(V.white),this.parseColorToHex(V.brightBlack),this.parseColorToHex(V.brightRed),this.parseColorToHex(V.brightGreen),this.parseColorToHex(V.brightYellow),this.parseColorToHex(V.brightBlue),this.parseColorToHex(V.brightMagenta),this.parseColorToHex(V.brightCyan),this.parseColorToHex(V.brightWhite)];return{scrollbackLimit:$,fgColor:this.parseColorToHex(V.foreground),bgColor:this.parseColorToHex(V.background),cursorColor:this.parseColorToHex(V.cursor),palette:Z}}open(j){if(this.isOpen)throw Error("Terminal is already open");if(this.isDisposed)throw Error("Terminal has been disposed");this.element=j,this.isOpen=!0;try{j.setAttribute("tabindex","-1"),j.setAttribute("role","textbox"),j.setAttribute("aria-label","Terminal input"),j.setAttribute("aria-multiline","true");let $=this.buildWasmConfig();this.wasmTerm=this.ghostty.createTerminal(this.cols,this.rows,$),this.canvas=document.createElement("canvas"),this.canvas.style.display="block",j.appendChild(this.canvas),this.textarea=document.createElement("textarea"),this.textarea.setAttribute("autocorrect","off"),this.textarea.setAttribute("autocapitalize","off"),this.textarea.setAttribute("spellcheck","false"),this.textarea.setAttribute("tabindex","0"),this.textarea.setAttribute("aria-label","Terminal input"),this.textarea.style.position="absolute",this.textarea.style.left="0",this.textarea.style.top="0",this.textarea.style.width="1px",this.textarea.style.height="1px",this.textarea.style.padding="0",this.textarea.style.border="none",this.textarea.style.margin="0",this.textarea.style.opacity="0",this.textarea.style.clipPath="inset(50%)",this.textarea.style.overflow="hidden",this.textarea.style.whiteSpace="nowrap",this.textarea.style.resize="none",j.appendChild(this.textarea),this.compositionPreview=document.createElement("div"),this.compositionPreview.style.position="absolute",this.compositionPreview.style.top="4px",this.compositionPreview.style.right="4px",this.compositionPreview.style.padding="2px 8px",this.compositionPreview.style.backgroundColor="rgba(0, 0, 0, 0.7)",this.compositionPreview.style.color="#ffcc00",this.compositionPreview.style.fontFamily="monospace",this.compositionPreview.style.fontSize="12px",this.compositionPreview.style.borderRadius="3px",this.compositionPreview.style.display="none",this.compositionPreview.style.zIndex="1000",j.appendChild(this.compositionPreview),this.textarea.addEventListener("compositionupdate",(z)=>{z.data&&(this.compositionPreview.textContent=`조합중: ${z.data}`,this.compositionPreview.style.display="block")}),this.textarea.addEventListener("compositionend",()=>{this.compositionPreview.style.display="none"});let V=this.textarea;this.canvas.addEventListener("mousedown",(z)=>{z.preventDefault(),V.focus()}),this.canvas.addEventListener("touchend",(z)=>{z.preventDefault(),V.focus()}),j.addEventListener("mousedown",(z)=>{z.target===j&&(z.preventDefault(),V.focus())}),j.addEventListener("focus",()=>{V.focus()}),this.renderer=new K0(this.canvas,{fontSize:this.options.fontSize,fontFamily:this.options.fontFamily,cursorStyle:this.options.cursorStyle,cursorBlink:this.options.cursorBlink,theme:this.options.theme}),this.renderer.resize(this.cols,this.rows);let Z=this.canvas,J=this.renderer,X=this.wasmTerm,K={hasMouseTracking:()=>(X==null?void 0:X.hasMouseTracking())??!1,hasSgrMouseMode:()=>(X==null?void 0:X.getMode(1006,!1))??!0,getCellDimensions:()=>({width:J.charWidth,height:J.charHeight}),getCanvasOffset:()=>{let z=Z.getBoundingClientRect();return{left:z.left,top:z.top}}};this.inputHandler=new b0(this.ghostty,j,(z)=>{this.options.disableStdin||this.dataEmitter.fire(z)},()=>{this.bellEmitter.fire()},(z)=>{this.keyEmitter.fire(z)},this.customKeyEventHandler,(z)=>{var O;return((O=this.wasmTerm)==null?void 0:O.getMode(z,!1))??!1},()=>this.copySelection(),this.textarea,K),this.selectionManager=new v0(this,this.renderer,this.wasmTerm,this.textarea),this.renderer.setSelectionManager(this.selectionManager),this.selectionManager.onSelectionChange(()=>{this.selectionChangeEmitter.fire()}),this.linkDetector=new J0(this),this.linkDetector.registerProvider(new X0(this)),this.linkDetector.registerProvider(new x0(this)),j.addEventListener("mousedown",this.handleMouseDown,{capture:!0}),j.addEventListener("mousemove",this.handleMouseMove),j.addEventListener("mouseleave",this.handleMouseLeave),j.addEventListener("click",this.handleClick),document.addEventListener("mouseup",this.handleMouseUp),j.addEventListener("wheel",this.handleWheel,{passive:!1,capture:!0}),this.isOpen=!0,this.renderer.render(this.snapshotBuffer,!0,this.viewportY,this,this.scrollbarOpacity),this.startRenderLoop(),this.focus()}catch($){throw this.isOpen=!1,this.cleanupComponents(),Error(`Failed to open terminal: ${$}`)}}write(j,$){if(this.assertOpen(),this.options.convertEol&&typeof j=="string"&&(j=j.replace(/\n/g,`\r -`)),this._isResizing){let V=j instanceof Uint8Array?new Uint8Array(j):j;this._writeQueue.push({data:V,callback:$});return}this.writeInternal(j,$)}writeInternal(j,$){var V;this.wasmTerm.write(j),this.processTerminalResponses(),typeof j=="string"&&j.includes("\x07")?this.bellEmitter.fire():j instanceof Uint8Array&&j.includes(7)&&this.bellEmitter.fire(),(V=this.linkDetector)==null||V.invalidateCache(),this.viewportY!==0&&this.scrollToBottom(),typeof j=="string"&&j.includes("\x1B]")&&this.checkForTitleChange(j),$&&requestAnimationFrame($)}writeln(j,$){if(typeof j=="string")this.write(j+`\r -`,$);else{let V=new Uint8Array(j.length+2);V.set(j),V[j.length]=13,V[j.length+1]=10,this.write(V,$)}}paste(j){this.assertOpen(),!this.options.disableStdin&&(this.wasmTerm.hasBracketedPaste()?this.dataEmitter.fire("\x1B[200~"+j+"\x1B[201~"):this.dataEmitter.fire(j))}input(j,$=!1){this.assertOpen(),!this.options.disableStdin&&($?this.dataEmitter.fire(j):this.write(j))}resize(j,$){if(this.assertOpen(),j===this.cols&&$===this.rows)return;this._resizeFlushFrameId&&(cancelAnimationFrame(this._resizeFlushFrameId),this._resizeFlushFrameId=void 0),this._isResizing=!0;let V=this.animationFrameId!==void 0;this.animationFrameId&&(cancelAnimationFrame(this.animationFrameId),this.animationFrameId=void 0);try{this.wasmTerm.resize(j,$),this.cols=j,this.rows=$,this.renderer.resize(j,$);let Z=this.renderer.getMetrics();this.canvas.width=Z.width*j,this.canvas.height=Z.height*$,this.canvas.style.width=`${Z.width*j}px`,this.canvas.style.height=`${Z.height*$}px`,this.resizeEmitter.fire({cols:j,rows:$}),this.renderer.render(this.snapshotBuffer,!0,this.viewportY,this)}catch(Z){console.error("[ghostty-web] Resize error:",Z)}V&&this.startRenderLoop(),this._resizeFlushFrameId=requestAnimationFrame(()=>{this._resizeFlushFrameId=void 0,this._isResizing=!1,this.flushWriteQueue()})}flushWriteQueue(){if(this.isDisposed||!this.isOpen){this._writeQueue=[];return}let j=this._writeQueue;this._writeQueue=[];for(let{data:$,callback:V}of j)this.writeInternal($,V)}clear(){this.assertOpen(),this.wasmTerm.write("\x1B[2J\x1B[H")}reset(){this.assertOpen(),this.wasmTerm&&this.wasmTerm.free();let j=this.buildWasmConfig();this.wasmTerm=this.ghostty.createTerminal(this.cols,this.rows,j),this.renderer.clear(),this.currentTitle=""}focus(){if(this.isOpen){let j=this.textarea||this.element;j&&(j.focus(),setTimeout(()=>{j==null||j.focus()},0))}}blur(){this.isOpen&&this.element&&this.element.blur()}loadAddon(j){j.activate(this),this.addons.push(j)}getSelection(){var j;return((j=this.selectionManager)==null?void 0:j.getSelection())||""}hasSelection(){var j;return((j=this.selectionManager)==null?void 0:j.hasSelection())||!1}clearSelection(){var j;(j=this.selectionManager)==null||j.clearSelection()}copySelection(){var j;return((j=this.selectionManager)==null?void 0:j.copySelection())||!1}selectAll(){var j;(j=this.selectionManager)==null||j.selectAll()}select(j,$,V){var Z;(Z=this.selectionManager)==null||Z.select(j,$,V)}selectLines(j,$){var V;(V=this.selectionManager)==null||V.selectLines(j,$)}getViewportY(){return this.viewportY}getSelectionPosition(){var j;return(j=this.selectionManager)==null?void 0:j.getSelectionPosition()}attachCustomKeyEventHandler(j){this.customKeyEventHandler=j,this.inputHandler&&this.inputHandler.setCustomKeyEventHandler(j)}attachCustomWheelEventHandler(j){this.customWheelEventHandler=j}loadFonts(){this.renderer&&(this.renderer.remeasureFont(),this.handleFontChange())}registerLinkProvider(j){if(!this.linkDetector)throw Error("Terminal must be opened before registering link providers");this.linkDetector.registerProvider(j)}scrollLines(j){if(!this.wasmTerm)throw Error("Terminal not open");let $=this.getScrollbackLength(),V=Math.max(0,Math.min($,this.viewportY-j));V!==this.viewportY&&(this.viewportY=V,this.scrollEmitter.fire(this.viewportY),$>0&&this.showScrollbar())}scrollPages(j){this.scrollLines(j*this.rows)}scrollToTop(){let j=this.getScrollbackLength();j>0&&this.viewportY!==j&&(this.viewportY=j,this.scrollEmitter.fire(this.viewportY),this.showScrollbar())}scrollToBottom(){this.viewportY!==0&&(this.viewportY=0,this.scrollEmitter.fire(this.viewportY),this.getScrollbackLength()>0&&this.showScrollbar())}scrollToLine(j){let $=this.getScrollbackLength(),V=Math.max(0,Math.min($,j));V!==this.viewportY&&(this.viewportY=V,this.scrollEmitter.fire(this.viewportY),$>0&&this.showScrollbar())}smoothScrollTo(j){if(!this.wasmTerm)return;let $=this.getScrollbackLength(),V=Math.max(0,Math.min($,j));if((this.options.smoothScrollDuration??100)===0){this.viewportY=V,this.targetViewportY=V,this.scrollEmitter.fire(Math.floor(this.viewportY)),$>0&&this.showScrollbar();return}this.targetViewportY=V,!this.scrollAnimationFrame&&(this.scrollAnimationStartTime=Date.now(),this.scrollAnimationStartY=this.viewportY,this.animateScroll())}dispose(){if(!this.isDisposed){this.isDisposed=!0,this.isOpen=!1,this.animationFrameId&&(cancelAnimationFrame(this.animationFrameId),this.animationFrameId=void 0),this.scrollAnimationFrame&&(cancelAnimationFrame(this.scrollAnimationFrame),this.scrollAnimationFrame=void 0),this._resizeFlushFrameId&&(cancelAnimationFrame(this._resizeFlushFrameId),this._resizeFlushFrameId=void 0),this._writeQueue=[],this._isResizing=!1,this.mouseMoveThrottleTimeout&&(clearTimeout(this.mouseMoveThrottleTimeout),this.mouseMoveThrottleTimeout=void 0),this.pendingMouseMove=void 0;for(let j of this.addons)j.dispose();this.addons=[],this.cleanupComponents(),this.dataEmitter.dispose(),this.resizeEmitter.dispose(),this.bellEmitter.dispose(),this.selectionChangeEmitter.dispose(),this.keyEmitter.dispose(),this.titleChangeEmitter.dispose(),this.scrollEmitter.dispose(),this.renderEmitter.dispose(),this.cursorMoveEmitter.dispose()}}startRenderLoop(){let j=()=>{if(!this.isDisposed&&this.isOpen){try{this.renderer.render(this.snapshotBuffer,!1,this.viewportY,this,this.scrollbarOpacity);let $=this.wasmTerm.getCursor();$.y!==this.lastCursorY&&(this.lastCursorY=$.y,this.cursorMoveEmitter.fire())}catch($){console.error("[ghostty-web] render loop error (recovering):",$)}this.animationFrameId=requestAnimationFrame(j)}};j()}getScrollbackLine(j){return this.wasmTerm?this.wasmTerm.getScrollbackLine(j):null}getScrollbackLength(){return this.wasmTerm?this.wasmTerm.getScrollbackLength():0}cleanupComponents(){this.selectionManager&&(this.selectionManager.dispose(),this.selectionManager=void 0),this.inputHandler&&(this.inputHandler.dispose(),this.inputHandler=void 0),this.renderer&&(this.renderer.dispose(),this.renderer=void 0),this.canvas&&this.canvas.parentNode&&(this.canvas.parentNode.removeChild(this.canvas),this.canvas=void 0),this.textarea&&this.textarea.parentNode&&(this.textarea.parentNode.removeChild(this.textarea),this.textarea=void 0),this.compositionPreview&&this.compositionPreview.parentNode&&(this.compositionPreview.parentNode.removeChild(this.compositionPreview),this.compositionPreview=void 0),this.element&&(this.element.removeEventListener("wheel",this.handleWheel),this.element.removeEventListener("mousedown",this.handleMouseDown,{capture:!0}),this.element.removeEventListener("mousemove",this.handleMouseMove),this.element.removeEventListener("mouseleave",this.handleMouseLeave),this.element.removeEventListener("click",this.handleClick),this.element.removeAttribute("role"),this.element.removeAttribute("aria-label"),this.element.removeAttribute("aria-multiline")),this.isOpen&&typeof document<"u"&&document.removeEventListener("mouseup",this.handleMouseUp),this.scrollbarHideTimeout&&(window.clearTimeout(this.scrollbarHideTimeout),this.scrollbarHideTimeout=void 0),this.linkDetector&&(this.linkDetector.dispose(),this.linkDetector=void 0),this.wasmTerm&&(this.wasmTerm.free(),this.wasmTerm=void 0),this.ghostty=void 0,this.element=void 0,this.textarea=void 0}assertOpen(){if(this.isDisposed)throw Error("Terminal has been disposed");if(!this.isOpen)throw Error("Terminal must be opened before use. Call terminal.open(parent) first.")}processMouseMove(j){if(!this.canvas||!this.renderer||!this.linkDetector||!this.wasmTerm)return;let $=this.canvas.getBoundingClientRect(),V=Math.floor((j.clientX-$.left)/this.renderer.charWidth),Z=Math.floor((j.clientY-$.top)/this.renderer.charHeight),J=0,X=null,K=this.getViewportY(),z=Math.max(0,Math.floor(K));if(z>0){let L=this.wasmTerm.getScrollbackLength();if(Z=0&&V0)if(Z{var Y,T,x,N;if(L!==this.currentHoveredLink&&((T=(Y=this.currentHoveredLink)==null?void 0:Y.hover)==null||T.call(Y,!1),this.currentHoveredLink=L,(x=L==null?void 0:L.hover)==null||x.call(L,!0),this.element&&(this.element.style.cursor=L?"pointer":"text"),this.renderer))if(L){let q=((N=this.wasmTerm)==null?void 0:N.getScrollbackLength())||0,P=this.getViewportY(),_=Math.max(0,Math.floor(P)),F=L.range.start.y-q+_,u=L.range.end.y-q+_;F=0?this.renderer.setHoveredLinkRange({startX:L.range.start.x,startY:Math.max(0,F),endX:L.range.end.x,endY:Math.min(this.rows-1,u)}):this.renderer.setHoveredLinkRange(null)}else this.renderer.setHoveredLinkRange(null)}).catch((L)=>{console.warn("Link detection error:",L)})}processScrollbarDrag(j){if(!this.canvas||!this.renderer||!this.wasmTerm||this.scrollbarDragStart===null)return;let $=this.wasmTerm.getScrollbackLength();if($===0)return;let V=this.canvas.getBoundingClientRect(),Z=j.clientY-V.top-this.scrollbarDragStart,J=V.height-8,X=this.rows,K=$+X,z=Math.max(20,X/K*J),O=-Z/(J-z),W=Math.round(O*$),R=this.scrollbarDragStartViewportY+W;this.scrollToLine(Math.max(0,Math.min($,R)))}showScrollbar(){this.scrollbarHideTimeout&&(window.clearTimeout(this.scrollbarHideTimeout),this.scrollbarHideTimeout=void 0),this.scrollbarVisible?this.scrollbarOpacity=1:(this.scrollbarVisible=!0,this.scrollbarOpacity=0,this.fadeInScrollbar()),this.isDraggingScrollbar||(this.scrollbarHideTimeout=window.setTimeout(()=>{this.hideScrollbar()},this.SCROLLBAR_HIDE_DELAY_MS))}hideScrollbar(){this.scrollbarHideTimeout&&(window.clearTimeout(this.scrollbarHideTimeout),this.scrollbarHideTimeout=void 0),this.scrollbarVisible&&this.fadeOutScrollbar()}fadeInScrollbar(){let j=Date.now(),$=()=>{let V=Date.now()-j,Z=Math.min(V/this.SCROLLBAR_FADE_DURATION_MS,1);this.scrollbarOpacity=Z,this.renderer&&this.wasmTerm&&this.renderer.render(this.wasmTerm,!1,this.viewportY,this,this.scrollbarOpacity),Z<1&&requestAnimationFrame($)};$()}fadeOutScrollbar(){let j=Date.now(),$=this.scrollbarOpacity,V=()=>{let Z=Date.now()-j,J=Math.min(Z/this.SCROLLBAR_FADE_DURATION_MS,1);this.scrollbarOpacity=$*(1-J),this.renderer&&this.wasmTerm&&this.renderer.render(this.wasmTerm,!1,this.viewportY,this,this.scrollbarOpacity),J<1?requestAnimationFrame(V):(this.scrollbarVisible=!1,this.scrollbarOpacity=0,this.renderer&&this.wasmTerm&&this.renderer.render(this.wasmTerm,!1,this.viewportY,this,0))};V()}processTerminalResponses(){if(this.wasmTerm)for(;;){let j=this.wasmTerm.readResponse();if(j===null)break;this.dataEmitter.fire(j)}}checkForTitleChange(j){let $=/\x1b\]([012]);([^\x07\x1b]*?)(?:\x07|\x1b\\)/g,V=null;for(;(V=$.exec(j))!==null;){let Z=V[1],J=V[2];(Z==="0"||Z==="2")&&J!==this.currentTitle&&(this.currentTitle=J,this.titleChangeEmitter.fire(J))}}getMode(j,$=!1){return this.assertOpen(),this.wasmTerm.getMode(j,$)}hasBracketedPaste(){return this.assertOpen(),this.wasmTerm.hasBracketedPaste()}hasFocusEvents(){return this.assertOpen(),this.wasmTerm.hasFocusEvents()}hasMouseTracking(){return this.assertOpen(),this.wasmTerm.hasMouseTracking()}setSnapshot(j,$){let V=[];for(let Z=0;Z{this._isResizing=!1},50)}}}proposeDimensions(){var j;if(!((j=this._terminal)!=null&&j.element))return;let $=this._terminal.renderer;if(!$||typeof $.getMetrics!="function")return;let V=$.getMetrics();if(!V||V.width===0||V.height===0)return;let Z=this._terminal.element;if(typeof Z.clientWidth>"u")return;let J=window.getComputedStyle(Z),X=Number.parseInt(J.getPropertyValue("padding-top"))||0,K=Number.parseInt(J.getPropertyValue("padding-bottom"))||0,z=Number.parseInt(J.getPropertyValue("padding-left"))||0,O=Number.parseInt(J.getPropertyValue("padding-right"))||0,W=Z.clientWidth,R=Z.clientHeight;if(W===0||R===0)return;let U=W-z-O-f0,H=R-X-K,L=Math.max(F0,Math.floor(U/V.width)),Y=Math.max(S0,Math.floor(H/V.height));return{cols:L,rows:Y}}observeResize(){var j;(j=this._terminal)!=null&&j.element&&(this._resizeObserver||(this._resizeObserver=new ResizeObserver(($)=>{this._isResizing||!$[0]||(this._resizeDebounceTimer&&clearTimeout(this._resizeDebounceTimer),this._resizeDebounceTimer=setTimeout(()=>{this.fit()},u0))}),this._resizeObserver.observe(this._terminal.element)))}}var e=null;function M0(){if(!e)throw Error(`ghostty-web not initialized. Call init() before creating Terminal instances. +var qD=Object.defineProperty;var VD=($)=>$;function ND($,j){this[$]=VD.bind(null,j)}var JD=($,j)=>{for(var O in j)qD($,O,{get:j[O],enumerable:!0,configurable:!0,set:ND.bind(j,O)})};var vD=($,j)=>()=>($&&(j=$($=0)),j);var ZZ=(($)=>typeof require<"u"?require:typeof Proxy<"u"?new Proxy($,{get:(j,O)=>(typeof require<"u"?require:j)[O]}):$)(function($){if(typeof require<"u")return require.apply(this,arguments);throw Error('Dynamic require of "'+$+'" is not supported')});var ER={};JD(ER,{default:()=>RD});var RD;var QR=vD(()=>{RD={}});var CV=(($)=>($[$.CURSOR_KEY_APPLICATION=0]="CURSOR_KEY_APPLICATION",$[$.KEYPAD_KEY_APPLICATION=1]="KEYPAD_KEY_APPLICATION",$[$.IGNORE_KEYPAD_WITH_NUMLOCK=2]="IGNORE_KEYPAD_WITH_NUMLOCK",$[$.ALT_ESC_PREFIX=3]="ALT_ESC_PREFIX",$[$.MODIFY_OTHER_KEYS_STATE_2=4]="MODIFY_OTHER_KEYS_STATE_2",$[$.KITTY_KEYBOARD_FLAGS=5]="KITTY_KEYBOARD_FLAGS",$))(CV||{}),hR=(($)=>($[$.RELEASE=0]="RELEASE",$[$.PRESS=1]="PRESS",$[$.REPEAT=2]="REPEAT",$))(hR||{}),n0=(($)=>($[$.UNIDENTIFIED=0]="UNIDENTIFIED",$[$.GRAVE=1]="GRAVE",$[$.BACKSLASH=2]="BACKSLASH",$[$.BRACKET_LEFT=3]="BRACKET_LEFT",$[$.BRACKET_RIGHT=4]="BRACKET_RIGHT",$[$.COMMA=5]="COMMA",$[$.ZERO=6]="ZERO",$[$.ONE=7]="ONE",$[$.TWO=8]="TWO",$[$.THREE=9]="THREE",$[$.FOUR=10]="FOUR",$[$.FIVE=11]="FIVE",$[$.SIX=12]="SIX",$[$.SEVEN=13]="SEVEN",$[$.EIGHT=14]="EIGHT",$[$.NINE=15]="NINE",$[$.EQUAL=16]="EQUAL",$[$.INTL_BACKSLASH=17]="INTL_BACKSLASH",$[$.INTL_RO=18]="INTL_RO",$[$.INTL_YEN=19]="INTL_YEN",$[$.A=20]="A",$[$.B=21]="B",$[$.C=22]="C",$[$.D=23]="D",$[$.E=24]="E",$[$.F=25]="F",$[$.G=26]="G",$[$.H=27]="H",$[$.I=28]="I",$[$.J=29]="J",$[$.K=30]="K",$[$.L=31]="L",$[$.M=32]="M",$[$.N=33]="N",$[$.O=34]="O",$[$.P=35]="P",$[$.Q=36]="Q",$[$.R=37]="R",$[$.S=38]="S",$[$.T=39]="T",$[$.U=40]="U",$[$.V=41]="V",$[$.W=42]="W",$[$.X=43]="X",$[$.Y=44]="Y",$[$.Z=45]="Z",$[$.MINUS=46]="MINUS",$[$.PERIOD=47]="PERIOD",$[$.QUOTE=48]="QUOTE",$[$.SEMICOLON=49]="SEMICOLON",$[$.SLASH=50]="SLASH",$[$.ALT_LEFT=51]="ALT_LEFT",$[$.ALT_RIGHT=52]="ALT_RIGHT",$[$.BACKSPACE=53]="BACKSPACE",$[$.CAPS_LOCK=54]="CAPS_LOCK",$[$.CONTEXT_MENU=55]="CONTEXT_MENU",$[$.CONTROL_LEFT=56]="CONTROL_LEFT",$[$.CONTROL_RIGHT=57]="CONTROL_RIGHT",$[$.ENTER=58]="ENTER",$[$.META_LEFT=59]="META_LEFT",$[$.META_RIGHT=60]="META_RIGHT",$[$.SHIFT_LEFT=61]="SHIFT_LEFT",$[$.SHIFT_RIGHT=62]="SHIFT_RIGHT",$[$.SPACE=63]="SPACE",$[$.TAB=64]="TAB",$[$.CONVERT=65]="CONVERT",$[$.KANA_MODE=66]="KANA_MODE",$[$.NON_CONVERT=67]="NON_CONVERT",$[$.DELETE=68]="DELETE",$[$.END=69]="END",$[$.HELP=70]="HELP",$[$.HOME=71]="HOME",$[$.INSERT=72]="INSERT",$[$.PAGE_DOWN=73]="PAGE_DOWN",$[$.PAGE_UP=74]="PAGE_UP",$[$.DOWN=75]="DOWN",$[$.LEFT=76]="LEFT",$[$.RIGHT=77]="RIGHT",$[$.UP=78]="UP",$[$.NUM_LOCK=79]="NUM_LOCK",$[$.KP_0=80]="KP_0",$[$.KP_1=81]="KP_1",$[$.KP_2=82]="KP_2",$[$.KP_3=83]="KP_3",$[$.KP_4=84]="KP_4",$[$.KP_5=85]="KP_5",$[$.KP_6=86]="KP_6",$[$.KP_7=87]="KP_7",$[$.KP_8=88]="KP_8",$[$.KP_9=89]="KP_9",$[$.KP_PLUS=90]="KP_PLUS",$[$.KP_BACKSPACE=91]="KP_BACKSPACE",$[$.KP_CLEAR=92]="KP_CLEAR",$[$.KP_CLEAR_ENTRY=93]="KP_CLEAR_ENTRY",$[$.KP_COMMA=94]="KP_COMMA",$[$.KP_PERIOD=95]="KP_PERIOD",$[$.KP_DIVIDE=96]="KP_DIVIDE",$[$.KP_ENTER=97]="KP_ENTER",$[$.KP_EQUAL=98]="KP_EQUAL",$[$.KP_MEMORY_ADD=99]="KP_MEMORY_ADD",$[$.KP_MEMORY_CLEAR=100]="KP_MEMORY_CLEAR",$[$.KP_MEMORY_RECALL=101]="KP_MEMORY_RECALL",$[$.KP_MEMORY_STORE=102]="KP_MEMORY_STORE",$[$.KP_MEMORY_SUBTRACT=103]="KP_MEMORY_SUBTRACT",$[$.KP_MULTIPLY=104]="KP_MULTIPLY",$[$.KP_PAREN_LEFT=105]="KP_PAREN_LEFT",$[$.KP_PAREN_RIGHT=106]="KP_PAREN_RIGHT",$[$.KP_MINUS=107]="KP_MINUS",$[$.KP_SEPARATOR=108]="KP_SEPARATOR",$[$.NUMPAD_UP=109]="NUMPAD_UP",$[$.NUMPAD_DOWN=110]="NUMPAD_DOWN",$[$.NUMPAD_RIGHT=111]="NUMPAD_RIGHT",$[$.NUMPAD_LEFT=112]="NUMPAD_LEFT",$[$.NUMPAD_BEGIN=113]="NUMPAD_BEGIN",$[$.NUMPAD_HOME=114]="NUMPAD_HOME",$[$.NUMPAD_END=115]="NUMPAD_END",$[$.NUMPAD_INSERT=116]="NUMPAD_INSERT",$[$.NUMPAD_DELETE=117]="NUMPAD_DELETE",$[$.NUMPAD_PAGE_UP=118]="NUMPAD_PAGE_UP",$[$.NUMPAD_PAGE_DOWN=119]="NUMPAD_PAGE_DOWN",$[$.ESCAPE=120]="ESCAPE",$[$.F1=121]="F1",$[$.F2=122]="F2",$[$.F3=123]="F3",$[$.F4=124]="F4",$[$.F5=125]="F5",$[$.F6=126]="F6",$[$.F7=127]="F7",$[$.F8=128]="F8",$[$.F9=129]="F9",$[$.F10=130]="F10",$[$.F11=131]="F11",$[$.F12=132]="F12",$[$.F13=133]="F13",$[$.F14=134]="F14",$[$.F15=135]="F15",$[$.F16=136]="F16",$[$.F17=137]="F17",$[$.F18=138]="F18",$[$.F19=139]="F19",$[$.F20=140]="F20",$[$.F21=141]="F21",$[$.F22=142]="F22",$[$.F23=143]="F23",$[$.F24=144]="F24",$[$.F25=145]="F25",$[$.FN_LOCK=146]="FN_LOCK",$[$.PRINT_SCREEN=147]="PRINT_SCREEN",$[$.SCROLL_LOCK=148]="SCROLL_LOCK",$[$.PAUSE=149]="PAUSE",$[$.BROWSER_BACK=150]="BROWSER_BACK",$[$.BROWSER_FAVORITES=151]="BROWSER_FAVORITES",$[$.BROWSER_FORWARD=152]="BROWSER_FORWARD",$[$.BROWSER_HOME=153]="BROWSER_HOME",$[$.BROWSER_REFRESH=154]="BROWSER_REFRESH",$[$.BROWSER_SEARCH=155]="BROWSER_SEARCH",$[$.BROWSER_STOP=156]="BROWSER_STOP",$[$.EJECT=157]="EJECT",$[$.LAUNCH_APP_1=158]="LAUNCH_APP_1",$[$.LAUNCH_APP_2=159]="LAUNCH_APP_2",$[$.LAUNCH_MAIL=160]="LAUNCH_MAIL",$[$.MEDIA_PLAY_PAUSE=161]="MEDIA_PLAY_PAUSE",$[$.MEDIA_SELECT=162]="MEDIA_SELECT",$[$.MEDIA_STOP=163]="MEDIA_STOP",$[$.MEDIA_TRACK_NEXT=164]="MEDIA_TRACK_NEXT",$[$.MEDIA_TRACK_PREVIOUS=165]="MEDIA_TRACK_PREVIOUS",$[$.POWER=166]="POWER",$[$.SLEEP=167]="SLEEP",$[$.AUDIO_VOLUME_DOWN=168]="AUDIO_VOLUME_DOWN",$[$.AUDIO_VOLUME_MUTE=169]="AUDIO_VOLUME_MUTE",$[$.AUDIO_VOLUME_UP=170]="AUDIO_VOLUME_UP",$[$.WAKE_UP=171]="WAKE_UP",$[$.COPY=172]="COPY",$[$.CUT=173]="CUT",$[$.PASTE=174]="PASTE",$))(n0||{}),X4=(($)=>($[$.NONE=0]="NONE",$[$.SHIFT=1]="SHIFT",$[$.CTRL=2]="CTRL",$[$.ALT=4]="ALT",$[$.SUPER=8]="SUPER",$[$.CAPSLOCK=16]="CAPSLOCK",$[$.NUMLOCK=32]="NUMLOCK",$))(X4||{}),wV=(($)=>($[$.NONE=0]="NONE",$[$.PARTIAL=1]="PARTIAL",$[$.FULL=2]="FULL",$))(wV||{}),CR=80,O1=(($)=>($[$.BOLD=1]="BOLD",$[$.ITALIC=2]="ITALIC",$[$.UNDERLINE=4]="UNDERLINE",$[$.STRIKETHROUGH=8]="STRIKETHROUGH",$[$.INVERSE=16]="INVERSE",$[$.INVISIBLE=32]="INVISIBLE",$[$.BLINK=64]="BLINK",$[$.FAINT=128]="FAINT",$))(O1||{});class HG{constructor($){this.exports=$.exports,this.memory=this.exports.memory}createKeyEncoder(){return new cR(this.exports)}createTerminal($=80,j=24,O){return new UD(this.exports,this.memory,$,j,O)}static async load($){if($)return HG.loadFromPath($);let j=new 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EAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAA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AHAAEAAQABAAEAAQABAAEAAQABAAEABAAEAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAcABgAEAAYABgABAAEAAQAGAAYABgABAAYABgAGAAQAAQABAAEAAQABAAEAAQABAAEABwABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQABgAGAAYABAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQAAQAEAAQABAAGAAYABgAGAAEABAAEAAQAAQAEAAQABAAEAAEAAQABAAEAAQABAAEABAAEAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQABgAGAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAEABgAEAAcABgAHAAYABgABAAQABwAHAAEABwAHAAQABAABAAEAAQABAAEAAQABAAcABwABAAEAAQABAAEAAQABAAEAAQABAAEABAAEAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAYAAQABAAEAAQABAAEAAQABAAEAAQABAAEABAAEAAYABgABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQABAABAAcABgAGAAQABAAEAAQAAQAGAAYABgABAAYABgAGAAQABQABAAEAAQABAAEAAQABAAEABwABAAEAAQABAAEAAQABAAEAAQABAAQABAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEABAAGAAYAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAEAAQABAAEABwAGAAYABAAEAAQAAQAEAAEABgAGAAYABgAGAAYABgAHAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAYABgABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQAAQAGAAQABAAEAAQABAAEAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEABAAEAAQABAAEAAQABAAEAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAEABgAEAAQABAAEAAQABAAEAAQABAABAAEAAQABAAEAAQABAAEAAQABAAEABAAEAAQABAAEAAQABAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQABAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAEABAABAAQAAQABAAEAAQAGAAYAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABgAEAAQABAAEAAQAAQAEAAQAAQABAAEAAQABAAQABAAEAAQABAAEAAQABAAEAAQABAABAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAEAAQABAAEAAQABAAEAAQABAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEABAAEAAQABAAGAAQABAAEAAQABAAEAAEABAAEAAYABgAEAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAYABgAEAAQAAQABAAEAAQAEAAQABAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQABAAEAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAEABgAEAAQAAQABAAEAAQABAAEABAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACQAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgAKAAoACgALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAsACwALAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQABAAEAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQ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ABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAMAAwADAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEADQANAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAA0AAQABAAEAAQANAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEABAAEAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEABAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAOAA4AAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgABAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgABAAEAAQABAAEAAQABAAEAAQABAAEAAQAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAAQABAAEAAQAEwATAA0ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADQAOAAEAAQAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4AAQABAAQABAAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4AAQABAAEAAQABAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4AAQAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAAAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAAEADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAAEAAQABAAEAAQABAAEAAQABAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAAEADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgABAAEAAQABAAEAAQABAAEADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA0ADgANAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4AAQABAAEADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgAOAA4ADgABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAQABAAEAAEABAAEAAQABAAEAAQABAAEAAQABAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEABAAEAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAEAAQABAAQAAQABAAEAAQAEAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAGAAYABAAEAAYAAQABAAEAAQAEAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAGAAYAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAYABgAGAAYABgAGAAYABgAGAAYABgAGAAYABgAGAAYABAAEAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQABAAEAAQABAAEAAQABAABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQABAAEAAQABAAEAAQABAAEAAQABAAGAAcAAQABAAEAAQABAAEAAQABAAEAAQABAAEACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAEAAQABAAQABAAEAAYAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQABgAGAAQABAAEAAQABgAGAAQABAAGAAYABwABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQAEAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEABAAEAAQABAAEAAQABgAGAAQABAAGAAYABAAEAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQAAQABAAEAAQABAAEAAQABAAQABgABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEABAABAAQABAAEAAEAAQAEAAQAAQABAAEAAQABAAQABAABAAQAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAYABAAEAAYABgABAAEAAQABAAEABg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Z=j.pathname;Z.match(/^\/[A-Za-z]:\//)&&(Z=Z.slice(1)),O.push(Z)}O.push(j.href,"./ghostty-vt.wasm","/ghostty-vt.wasm");let G=null;for(let Z of O)try{return await HG.loadFromPath(Z)}catch(V){G=V instanceof Error?V:Error(String(V))}throw G||Error("Failed to load Ghostty WASM")}static async loadFromPath($){let j;if(typeof Bun<"u"&&typeof Bun.file=="function")try{let Z=Bun.file($);await Z.exists()&&(j=await Z.arrayBuffer())}catch{}if(!j)try{let Z=await(await Promise.resolve().then(() => (QR(),ER))).readFile($);j=Z.buffer.slice(Z.byteOffset,Z.byteOffset+Z.byteLength)}catch{}if(!j){let Z=await fetch($);if(!Z.ok)throw Error(`Failed to fetch WASM: ${Z.status} ${Z.statusText}`);if(j=await Z.arrayBuffer(),j.byteLength===0)throw Error(`WASM file is empty (0 bytes). Check path: ${$}`)}if(!j)throw Error(`Could not load WASM from path: ${$}`);let O=await WebAssembly.compile(j),G=await WebAssembly.instantiate(O,{env:{log:(Z,V)=>{let N=new Uint8Array(G.exports.memory.buffer,Z,V);console.log("[ghostty-vt]",new TextDecoder().decode(N))}}});return new HG(G)}}class cR{constructor($){this.encoder=0,this.exports=$;let j=this.exports.ghostty_wasm_alloc_opaque(),O=this.exports.ghostty_key_encoder_new(0,j);if(O!==0)throw Error(`Failed to create key encoder: ${O}`);let G=new DataView(this.exports.memory.buffer);this.encoder=G.getUint32(j,!0),this.exports.ghostty_wasm_free_opaque(j)}setOption($,j){let O=this.exports.ghostty_wasm_alloc_u8();new DataView(this.exports.memory.buffer).setUint8(O,typeof j=="boolean"?j?1:0:j),this.exports.ghostty_key_encoder_setopt(this.encoder,$,O),this.exports.ghostty_wasm_free_u8(O)}setKittyFlags($){this.setOption(CV.KITTY_KEYBOARD_FLAGS,$)}encode($){let j=this.exports.ghostty_wasm_alloc_opaque(),O=this.exports.ghostty_key_event_new(0,j);if(O!==0)throw Error(`Failed to create key event: ${O}`);let G=new DataView(this.exports.memory.buffer),Z=G.getUint32(j,!0);if(this.exports.ghostty_wasm_free_opaque(j),this.exports.ghostty_key_event_set_action(Z,$.action),this.exports.ghostty_key_event_set_key(Z,$.key),this.exports.ghostty_key_event_set_mods(Z,$.mods),$.utf8){let L=new TextEncoder().encode($.utf8),Y=this.exports.ghostty_wasm_alloc_u8_array(L.length);new Uint8Array(this.exports.memory.buffer).set(L,Y),this.exports.ghostty_key_event_set_utf8(Z,Y,L.length),this.exports.ghostty_wasm_free_u8_array(Y,L.length)}let V=32,N=this.exports.ghostty_wasm_alloc_u8_array(V),J=this.exports.ghostty_wasm_alloc_usize(),R=this.exports.ghostty_key_encoder_encode(this.encoder,Z,N,V,J);if(R!==0)throw this.exports.ghostty_wasm_free_u8_array(N,V),this.exports.ghostty_wasm_free_usize(J),this.exports.ghostty_key_event_free(Z),Error(`Failed to encode key: ${R}`);let U=G.getUint32(J,!0),H=new Uint8Array(this.exports.memory.buffer,N,U).slice();return this.exports.ghostty_wasm_free_u8_array(N,V),this.exports.ghostty_wasm_free_usize(J),this.exports.ghostty_key_event_free(Z),H}dispose(){this.encoder&&(this.exports.ghostty_key_encoder_free(this.encoder),this.encoder=0)}}var mR=class ${constructor(j,O,G=80,Z=24,V){var N;if(this.viewportBufferPtr=0,this.viewportBufferSize=0,this.cellPool=[],this.graphemeBuffer=null,this.graphemeBufferPtr=0,this.exports=j,this.memory=O,this._cols=G,this._rows=Z,V){let J=this.exports.ghostty_wasm_alloc_u8_array(CR);if(J===0)throw Error("Failed to allocate config (out of memory)");try{let R=new DataView(this.memory.buffer),U=J;R.setUint32(U,V.scrollbackLimit??1e4,!0),U+=4,R.setUint32(U,V.fgColor??0,!0),U+=4,R.setUint32(U,V.bgColor??0,!0),U+=4,R.setUint32(U,V.cursorColor??0,!0),U+=4;for(let H=0;H<16;H++)R.setUint32(U,((N=V.palette)==null?void 0:N[H])??0,!0),U+=4;this.handle=this.exports.ghostty_terminal_new_with_config(G,Z,J)}finally{this.exports.ghostty_wasm_free_u8_array(J,CR)}}else this.handle=this.exports.ghostty_terminal_new(G,Z);if(!this.handle)throw Error("Failed to create terminal");this.initCellPool()}get cols(){return this._cols}get rows(){return this._rows}write(j){let O=typeof j=="string"?new TextEncoder().encode(j):j,G=this.exports.ghostty_wasm_alloc_u8_array(O.length);new Uint8Array(this.memory.buffer).set(O,G),this.exports.ghostty_terminal_write(this.handle,G,O.length),this.exports.ghostty_wasm_free_u8_array(G,O.length)}resize(j,O){j===this._cols&&O===this._rows||(this._cols=j,this._rows=O,this.exports.ghostty_terminal_resize(this.handle,j,O),this.invalidateBuffers(),this.initCellPool())}free(){this.viewportBufferPtr&&(this.exports.ghostty_wasm_free_u8_array(this.viewportBufferPtr,this.viewportBufferSize),this.viewportBufferPtr=0),this.exports.ghostty_terminal_free(this.handle)}update(){return this.exports.ghostty_render_state_update(this.handle)}getCursor(){return this.update(),{x:this.exports.ghostty_render_state_get_cursor_x(this.handle),y:this.exports.ghostty_render_state_get_cursor_y(this.handle),viewportX:this.exports.ghostty_render_state_get_cursor_x(this.handle),viewportY:this.exports.ghostty_render_state_get_cursor_y(this.handle),visible:this.exports.ghostty_render_state_get_cursor_visible(this.handle),blinking:!1,style:"block"}}getColors(){let j=this.exports.ghostty_render_state_get_bg_color(this.handle),O=this.exports.ghostty_render_state_get_fg_color(this.handle);return{background:{r:j>>16&255,g:j>>8&255,b:j&255},foreground:{r:O>>16&255,g:O>>8&255,b:O&255},cursor:null}}isRowDirty(j){return this.exports.ghostty_render_state_is_row_dirty(this.handle,j)}markClean(){this.exports.ghostty_render_state_mark_clean(this.handle)}getViewport(){let j=this._cols*this._rows,O=j*$.CELL_SIZE;return(!this.viewportBufferPtr||this.viewportBufferSize=this._rows)return null;this.update();let O=this.getViewport(),G=j*this._cols;return O.slice(G,G+this._cols).map((Z)=>({...Z}))}isDirty(){return this.update()!==wV.NONE}needsFullRedraw(){return this.update()===wV.FULL}clearDirty(){this.markClean()}isAlternateScreen(){return!!this.exports.ghostty_terminal_is_alternate_screen(this.handle)}hasBracketedPaste(){return this.getMode(2004,!1)}hasFocusEvents(){return this.getMode(1004,!1)}hasMouseTracking(){return this.exports.ghostty_terminal_has_mouse_tracking(this.handle)!==0}getDimensions(){return{cols:this._cols,rows:this._rows}}getScrollbackLength(){return this.exports.ghostty_terminal_get_scrollback_length(this.handle)}getScrollbackLine(j){let O=this._cols*$.CELL_SIZE;(!this.viewportBufferPtr||this.viewportBufferSize(this.listeners.push($),{dispose:()=>{let j=this.listeners.indexOf($);j>=0&&this.listeners.splice(j,1)}})}fire($){for(let j of this.listeners)j($)}dispose(){this.listeners=[]}}class pR{constructor($){this.bufferChangeEmitter=new p2,this.terminal=$}get active(){let $=this.terminal.wasmTerm;return $?$.isAlternateScreen()?this.alternate:this.normal:this.normal}get normal(){return this._normalBuffer||(this._normalBuffer=new EV(this.terminal,"normal")),this._normalBuffer}get alternate(){return this._alternateBuffer||(this._alternateBuffer=new EV(this.terminal,"alternate")),this._alternateBuffer}get onBufferChange(){return this.bufferChangeEmitter.event}_fireBufferChange($){this.bufferChangeEmitter.fire($)}}class EV{constructor($,j){this.terminal=$,this.bufferType=j;let O={codepoint:0,fg_r:204,fg_g:204,fg_b:204,bg_r:0,bg_g:0,bg_b:0,flags:0,width:1,hyperlink_id:0,grapheme_len:0};this.nullCell=new Fq(O,0)}get type(){return this.bufferType}get cursorX(){let $=this.getWasmTerm();return $?$.getCursor().x:0}get cursorY(){let $=this.getWasmTerm();return $?$.getCursor().y:0}get viewportY(){return 0}get baseY(){return 0}get length(){let $=this.getWasmTerm();return $?this.bufferType==="alternate"?$.rows:$.getScrollbackLength()+$.rows:0}getLine($){let j=this.getWasmTerm();if(!j||$<0||$>=this.length)return;let O=j.getScrollbackLength(),G,Z,V;if(this.bufferType==="normal"&&$=this._length))return $>=this.cells.length?new Fq({codepoint:0,fg_r:204,fg_g:204,fg_b:204,bg_r:0,bg_g:0,bg_b:0,flags:0,width:1,hyperlink_id:0,grapheme_len:0},$):new Fq(this.cells[$],$)}translateToString($=!1,j=0,O=this._length){let G=Math.max(0,Math.min(j,this._length)),Z=Math.max(G,Math.min(O,this._length)),V="";for(let N=G;N1114111||$>=55296&&$<=57343?"�":String.fromCodePoint($)}getCode(){return this.cell.codepoint}getWidth(){return this.cell.width}getFgColorMode(){return-1}getBgColorMode(){return-1}getFgColor(){return this.cell.fg_r<<16|this.cell.fg_g<<8|this.cell.fg_b}getBgColor(){return this.cell.bg_r<<16|this.cell.bg_g<<8|this.cell.bg_b}isBold(){return this.cell.flags&O1.BOLD?1:0}isItalic(){return this.cell.flags&O1.ITALIC?1:0}isUnderline(){return this.cell.flags&O1.UNDERLINE?1:0}isStrikethrough(){return this.cell.flags&O1.STRIKETHROUGH?1:0}isBlink(){return this.cell.flags&O1.BLINK?1:0}isInverse(){return this.cell.flags&O1.INVERSE?1:0}isInvisible(){return this.cell.flags&O1.INVISIBLE?1:0}isFaint(){return this.cell.flags&O1.FAINT?1:0}getHyperlinkId(){return this.cell.hyperlink_id}getCodepoint(){return this.cell.codepoint}isDim(){return(this.cell.flags&O1.FAINT)!==0}}var HD={KeyA:n0.A,KeyB:n0.B,KeyC:n0.C,KeyD:n0.D,KeyE:n0.E,KeyF:n0.F,KeyG:n0.G,KeyH:n0.H,KeyI:n0.I,KeyJ:n0.J,KeyK:n0.K,KeyL:n0.L,KeyM:n0.M,KeyN:n0.N,KeyO:n0.O,KeyP:n0.P,KeyQ:n0.Q,KeyR:n0.R,KeyS:n0.S,KeyT:n0.T,KeyU:n0.U,KeyV:n0.V,KeyW:n0.W,KeyX:n0.X,KeyY:n0.Y,KeyZ:n0.Z,Digit1:n0.ONE,Digit2:n0.TWO,Digit3:n0.THREE,Digit4:n0.FOUR,Digit5:n0.FIVE,Digit6:n0.SIX,Digit7:n0.SEVEN,Digit8:n0.EIGHT,Digit9:n0.NINE,Digit0:n0.ZERO,Enter:n0.ENTER,Escape:n0.ESCAPE,Backspace:n0.BACKSPACE,Tab:n0.TAB,Space:n0.SPACE,Minus:n0.MINUS,Equal:n0.EQUAL,BracketLeft:n0.BRACKET_LEFT,BracketRight:n0.BRACKET_RIGHT,Backslash:n0.BACKSLASH,Semicolon:n0.SEMICOLON,Quote:n0.QUOTE,Backquote:n0.GRAVE,Comma:n0.COMMA,Period:n0.PERIOD,Slash:n0.SLASH,CapsLock:n0.CAPS_LOCK,F1:n0.F1,F2:n0.F2,F3:n0.F3,F4:n0.F4,F5:n0.F5,F6:n0.F6,F7:n0.F7,F8:n0.F8,F9:n0.F9,F10:n0.F10,F11:n0.F11,F12:n0.F12,PrintScreen:n0.PRINT_SCREEN,ScrollLock:n0.SCROLL_LOCK,Pause:n0.PAUSE,Insert:n0.INSERT,Home:n0.HOME,PageUp:n0.PAGE_UP,Delete:n0.DELETE,End:n0.END,PageDown:n0.PAGE_DOWN,ArrowRight:n0.RIGHT,ArrowLeft:n0.LEFT,ArrowDown:n0.DOWN,ArrowUp:n0.UP,NumLock:n0.NUM_LOCK,NumpadDivide:n0.KP_DIVIDE,NumpadMultiply:n0.KP_MULTIPLY,NumpadSubtract:n0.KP_MINUS,NumpadAdd:n0.KP_PLUS,NumpadEnter:n0.KP_ENTER,Numpad1:n0.KP_1,Numpad2:n0.KP_2,Numpad3:n0.KP_3,Numpad4:n0.KP_4,Numpad5:n0.KP_5,Numpad6:n0.KP_6,Numpad7:n0.KP_7,Numpad8:n0.KP_8,Numpad9:n0.KP_9,Numpad0:n0.KP_0,NumpadDecimal:n0.KP_PERIOD,IntlBackslash:n0.INTL_BACKSLASH,ContextMenu:n0.CONTEXT_MENU,F13:n0.F13,F14:n0.F14,F15:n0.F15,F16:n0.F16,F17:n0.F17,F18:n0.F18,F19:n0.F19,F20:n0.F20,F21:n0.F21,F22:n0.F22,F23:n0.F23,F24:n0.F24},gR=class ${constructor(j,O,G,Z,V,N,J,R,U,H){this.keydownListener=null,this.keypressListener=null,this.pasteListener=null,this.beforeInputListener=null,this.compositionStartListener=null,this.compositionUpdateListener=null,this.compositionEndListener=null,this.mousedownListener=null,this.mouseupListener=null,this.mousemoveListener=null,this.wheelListener=null,this.isComposing=!1,this.compositionJustEnded=!1,this.pendingKeyAfterComposition=null,this.isDisposed=!1,this.mouseButtonsPressed=0,this.lastKeyDownData=null,this.lastKeyDownTime=0,this.lastPasteData=null,this.lastPasteTime=0,this.lastPasteSource=null,this.lastCompositionData=null,this.lastCompositionTime=0,this.lastBeforeInputData=null,this.lastBeforeInputTime=0,this.encoder=j.createKeyEncoder(),this.container=O,this.inputElement=U,this.onDataCallback=G,this.onBellCallback=Z,this.onKeyCallback=V,this.customKeyEventHandler=N,this.getModeCallback=J,this.onCopyCallback=R,this.mouseConfig=H,this.attach()}setCustomKeyEventHandler(j){this.customKeyEventHandler=j}attach(){typeof this.container.hasAttribute=="function"&&typeof this.container.setAttribute=="function"&&(this.container.hasAttribute("tabindex")||this.container.setAttribute("tabindex","0"),this.container.style&&(this.container.style.outline="none")),this.keydownListener=this.handleKeyDown.bind(this),this.container.addEventListener("keydown",this.keydownListener),this.pasteListener=this.handlePaste.bind(this),this.container.addEventListener("paste",this.pasteListener),this.inputElement&&this.inputElement!==this.container&&this.inputElement.addEventListener("paste",this.pasteListener),this.inputElement&&(this.beforeInputListener=this.handleBeforeInput.bind(this),this.inputElement.addEventListener("beforeinput",this.beforeInputListener));let j=this.inputElement||this.container;this.compositionStartListener=this.handleCompositionStart.bind(this),j.addEventListener("compositionstart",this.compositionStartListener),this.compositionUpdateListener=this.handleCompositionUpdate.bind(this),j.addEventListener("compositionupdate",this.compositionUpdateListener),this.compositionEndListener=this.handleCompositionEnd.bind(this),j.addEventListener("compositionend",this.compositionEndListener),this.mousedownListener=this.handleMouseDown.bind(this),this.container.addEventListener("mousedown",this.mousedownListener),this.mouseupListener=this.handleMouseUp.bind(this),this.container.addEventListener("mouseup",this.mouseupListener),this.mousemoveListener=this.handleMouseMove.bind(this),this.container.addEventListener("mousemove",this.mousemoveListener),this.wheelListener=this.handleWheel.bind(this),this.container.addEventListener("wheel",this.wheelListener,{passive:!1})}mapKeyCode(j){return HD[j]??null}extractModifiers(j){let O=X4.NONE;return j.shiftKey&&(O|=X4.SHIFT),j.ctrlKey&&(O|=X4.CTRL),j.altKey&&(O|=X4.ALT),j.metaKey&&(O|=X4.SUPER),O}isPrintableCharacter(j){return j.ctrlKey&&!j.altKey||j.altKey&&!j.ctrlKey||j.metaKey?!1:j.key.length===1}handleKeyDown(j){if(this.isDisposed||j.isComposing||j.keyCode===229)return;if(this.isComposing){this.pendingKeyAfterComposition=j.key,j.preventDefault();return}if(this.compositionJustEnded){this.compositionJustEnded=!1;return}if(this.onKeyCallback&&this.onKeyCallback({key:j.key,domEvent:j}),this.customKeyEventHandler){let V=this.customKeyEventHandler(j);if(V===!0){j.preventDefault();return}if(V===!1)return}if((j.ctrlKey||j.metaKey)&&j.code==="KeyV")return;if(j.metaKey&&j.code==="KeyC"){this.onCopyCallback&&this.onCopyCallback()&&j.preventDefault();return}if(j.metaKey&&!j.ctrlKey)return;if(this.isPrintableCharacter(j)){j.preventDefault(),this.onDataCallback(j.key),this.recordKeyDownData(j.key);return}let O=this.mapKeyCode(j.code);if(O===null)return;let G=this.extractModifiers(j);if(G===X4.NONE||G===X4.SHIFT){let V=null;switch(O){case n0.ENTER:V="\r";break;case n0.TAB:G===X4.SHIFT?V="\x1B[Z":V="\t";break;case n0.BACKSPACE:V="";break;case n0.ESCAPE:V="\x1B";break;case n0.HOME:V="\x1B[H";break;case n0.END:V="\x1B[F";break;case n0.INSERT:V="\x1B[2~";break;case n0.DELETE:V="\x1B[3~";break;case n0.PAGE_UP:V="\x1B[5~";break;case n0.PAGE_DOWN:V="\x1B[6~";break;case n0.F1:V="\x1BOP";break;case n0.F2:V="\x1BOQ";break;case n0.F3:V="\x1BOR";break;case n0.F4:V="\x1BOS";break;case n0.F5:V="\x1B[15~";break;case n0.F6:V="\x1B[17~";break;case n0.F7:V="\x1B[18~";break;case n0.F8:V="\x1B[19~";break;case n0.F9:V="\x1B[20~";break;case n0.F10:V="\x1B[21~";break;case n0.F11:V="\x1B[23~";break;case n0.F12:V="\x1B[24~";break}if(V!==null){j.preventDefault(),this.onDataCallback(V),this.recordKeyDownData(V);return}}let Z=hR.PRESS;try{if(this.getModeCallback){let R=this.getModeCallback(1);this.encoder.setOption(CV.CURSOR_KEY_APPLICATION,R)}let V=j.key.length===1&&j.key.charCodeAt(0)<128?j.key.toLowerCase():void 0,N=this.encoder.encode({action:Z,key:O,mods:G,utf8:V}),J=new TextDecoder().decode(N);j.preventDefault(),j.stopPropagation(),J.length>0&&(this.onDataCallback(J),this.recordKeyDownData(J))}catch(V){console.warn("Failed to encode key:",j.code,V)}}handlePaste(j){if(this.isDisposed)return;j.preventDefault(),j.stopPropagation();let O=j.clipboardData;if(!O){console.warn("No clipboard data available");return}let G=O.getData("text/plain");if(!G){console.warn("No text in clipboard");return}this.shouldIgnorePasteEvent(G,"paste")||(this.emitPasteData(G),this.recordPasteData(G,"paste"))}handleBeforeInput(j){if(this.isDisposed||this.isComposing||j.isComposing)return;let O=j.inputType,G=j.data??"",Z=null;switch(O){case"insertText":case"insertReplacementText":Z=G.length>0?G.replace(/\n/g,"\r"):null;break;case"insertLineBreak":case"insertParagraph":Z="\r";break;case"deleteContentBackward":Z="";break;case"deleteContentForward":Z="\x1B[3~";break;case"insertFromPaste":if(!G)return;if(this.shouldIgnorePasteEvent(G,"beforeinput")){j.preventDefault(),j.stopPropagation();return}j.preventDefault(),j.stopPropagation(),this.emitPasteData(G),this.recordPasteData(G,"beforeinput");return;default:return}if(Z){if(this.shouldIgnoreBeforeInput(Z)){j.preventDefault(),j.stopPropagation();return}if(G&&this.shouldIgnoreBeforeInputFromComposition(G)){j.preventDefault(),j.stopPropagation();return}j.preventDefault(),j.stopPropagation(),this.onDataCallback(Z),G&&this.recordBeforeInputData(G)}}handleCompositionStart(j){this.isDisposed||(this.isComposing=!0)}handleCompositionUpdate(j){this.isDisposed}handleCompositionEnd(j){if(this.isDisposed)return;this.isComposing=!1;let O=j.data;if(O&&O.length>0){if(this.shouldIgnoreCompositionEnd(O)){this.cleanupCompositionTextNodes(),this.processPendingKeyAfterComposition();return}this.onDataCallback(O),this.recordCompositionData(O)}this.cleanupCompositionTextNodes(),this.processPendingKeyAfterComposition()}processPendingKeyAfterComposition(){if(this.pendingKeyAfterComposition){let j=this.pendingKeyAfterComposition;this.pendingKeyAfterComposition=null,this.onDataCallback(j)}}cleanupCompositionTextNodes(){if(this.container&&this.container.childNodes)for(let j=this.container.childNodes.length-1;j>=0;j--){let O=this.container.childNodes[j];O.nodeType===3&&this.container.removeChild(O)}}pixelToCell(j){if(!this.mouseConfig)return null;let O=this.mouseConfig.getCellDimensions(),G=this.mouseConfig.getCanvasOffset();if(O.width<=0||O.height<=0)return null;let Z=j.clientX-G.left,V=j.clientY-G.top,N=Math.floor(Z/O.width)+1,J=Math.floor(V/O.height)+1;return{col:Math.max(1,N),row:Math.max(1,J)}}getMouseModifiers(j){let O=0;return j.shiftKey&&(O|=4),j.metaKey&&(O|=8),j.ctrlKey&&(O|=16),O}encodeMouseSGR(j,O,G,Z,V){return`\x1B[<${j+V};${O};${G}${Z?"m":"M"}`}encodeMouseX10(j,O,G,Z){let V=j+Z+32,N=String.fromCharCode(Math.min(O+32,255)),J=String.fromCharCode(Math.min(G+32,255));return`\x1B[M${String.fromCharCode(V)}${N}${J}`}sendMouseEvent(j,O,G,Z,V){var N,J;let R=this.getMouseModifiers(V),U=((J=(N=this.mouseConfig)==null?void 0:N.hasSgrMouseMode)==null?void 0:J.call(N))??!0,H;if(U)H=this.encodeMouseSGR(j,O,G,Z,R);else{let L=Z?3:j;H=this.encodeMouseX10(L,O,G,R)}this.onDataCallback(H)}handleMouseDown(j){var O;if(this.isDisposed||!((O=this.mouseConfig)!=null&&O.hasMouseTracking()))return;let G=this.pixelToCell(j);if(!G)return;let Z=j.button;this.mouseButtonsPressed|=1<=O.length||!O.getCell($))){for(let G of this.linkCache.values())if(this.isPositionInLink($,j,G))return G;this.scannedRows.has(j)||await this.scanRow(j);for(let G of this.linkCache.values())if(this.isPositionInLink($,j,G))return G}}async scanRow($){this.scannedRows.add($);let j=[];for(let O of this.providers){let G=await new Promise((Z)=>{O.provideLinks($,Z)});G&&j.push(...G)}for(let O of j)this.cacheLink(O)}cacheLink($){let{start:j,end:O}=$.range,G=`r${j.y}:${j.x}-${O.x}`;this.linkCache.set(G,$)}isPositionInLink($,j,O){let{start:G,end:Z}=O.range;return jZ.y?!1:G.y===Z.y?$>=G.x&&$<=Z.x:j===G.y?$>=G.x:j===Z.y?$<=Z.x:!0}invalidateCache(){this.linkCache.clear(),this.scannedRows.clear()}invalidateRows($,j){for(let G=$;G<=j;G++)this.scannedRows.delete(G);let O=[];for(let[G,Z]of this.linkCache.entries()){let{start:V,end:N}=Z.range;(V.y>=$&&V.y<=j||N.y>=$&&N.y<=j||V.y<$&&N.y>j)&&O.push(G)}for(let G of O)this.linkCache.delete(G)}dispose(){var $;this.linkCache.clear(),this.scannedRows.clear();for(let j of this.providers)($=j.dispose)==null||$.call(j);this.providers=[]}}class dR{constructor($){this.terminal=$}provideLinks($,j){let O=[],G=new Set,Z=this.terminal.buffer.active.getLine($);if(!Z){j(void 0);return}for(let V=0;V{(Y.ctrlKey||Y.metaKey)&&window.open(U,"_blank","noopener,noreferrer")}})}}j(O.length>0?O:void 0)}findLinkRange($,j,O){let G=this.terminal.buffer.active,Z=j,V=O;for(;V>0;){let U=G.getLine(Z);if(!U)break;let H=U.getCell(V-1);if(!H||H.getHyperlinkId()!==$)break;V--}if(V===0&&Z>0){let U=Z-1;for(;U>=0;){let H=G.getLine(U);if(!H||H.length===0)break;let L=H.getCell(H.length-1);if(!L||L.getHyperlinkId()!==$)break;Z=U,V=0;for(let Y=H.length-1;Y>=0;Y--){let S=H.getCell(Y);if(!S||S.getHyperlinkId()!==$){V=Y+1;break}}if(V===0)U--;else break}}let N=j,J=O,R=G.getLine(N);if(R){for(;J8&&G.push({text:J,range:{start:{x:R,y:j},end:{x:U,y:j}},activate:(L)=>{(L.ctrlKey||L.metaKey)&&window.open(J,"_blank","noopener,noreferrer")}}),N=$.URL_REGEX.exec(V)}O(G.length>0?G:void 0)}lineToText(j){let O=[];for(let G=0;G{let G=O.trim();return G.startsWith('"')||G.startsWith("'")||!G.includes(" ")?G:`"${G}"`}).join(", ");return`${$}${this.fontSize}px ${j}`}measureFont(){let $=document.createElement("canvas").getContext("2d");$.font=this.buildFontString();let j=$.measureText("M"),O=Math.ceil(j.width),G=j.fontBoundingBoxAscent??j.actualBoundingBoxAscent??this.fontSize*0.8,Z=j.fontBoundingBoxDescent??j.actualBoundingBoxDescent??this.fontSize*0.2,V=Math.ceil(G+Z),N=Math.ceil(G);return{width:O,height:V,baseline:N}}remeasureFont(){this.metrics=this.measureFont()}rgbToCSS($,j,O){return`rgb(${$}, ${j}, ${O})`}resize($,j){let O=$*this.metrics.width,G=j*this.metrics.height;this.canvas.style.width=`${O}px`,this.canvas.style.height=`${G}px`,this.canvas.width=O*this.devicePixelRatio,this.canvas.height=G*this.devicePixelRatio,this.ctx.scale(this.devicePixelRatio,this.devicePixelRatio),this.ctx.textBaseline="alphabetic",this.ctx.textAlign="left",this.ctx.fillStyle=this.theme.background,this.ctx.fillRect(0,0,O,G)}render($,j=!1,O=0,G,Z=1){var V;let N=0,J=null;typeof O=="object"?J=O:N=O,this.currentBuffer=$;let R=$.getCursor(),U=$.getDimensions(),H=G?G.getScrollbackLength():0;(V=$.needsFullRedraw)!=null&&V.call($)&&(j=!0),(this.canvas.width!==U.cols*this.metrics.width*this.devicePixelRatio||this.canvas.height!==U.rows*this.metrics.height*this.devicePixelRatio)&&(this.resize(U.cols,U.rows),j=!0),N!==this.lastViewportY&&(j=!0,this.lastViewportY=N);let L=R.x!==this.lastCursorPosition.x||R.y!==this.lastCursorPosition.y;if(L||this.cursorBlink){if(!j&&!$.isRowDirty(R.y)){let z=$.getLine(R.y);z&&this.renderLine(z,R.y,U.cols)}if(L&&this.lastCursorPosition.y!==R.y&&!j&&!$.isRowDirty(this.lastCursorPosition.y)){let z=$.getLine(this.lastCursorPosition.y);z&&this.renderLine(z,this.lastCursorPosition.y,U.cols)}}let Y=J||this.selectionManager&&this.selectionManager.hasSelection(),S=new Set;if(J?this.currentSelectionCoords={startCol:J.start.x,startRow:J.start.y,endCol:J.end.x,endRow:J.end.y}:this.currentSelectionCoords=Y?this.selectionManager.getSelectionCoords():null,this.currentSelectionCoords){let z=this.currentSelectionCoords;for(let w=z.startRow;w<=z.endRow;w++)S.add(w)}if(this.selectionManager){let z=this.selectionManager.getDirtySelectionRows();if(z.size>0){for(let w of z)S.add(w);this.selectionManager.clearDirtySelectionRows()}}let X=new Set,D=this.hoveredHyperlinkId!==this.previousHoveredHyperlinkId,I=JSON.stringify(this.hoveredLinkRange)!==JSON.stringify(this.previousHoveredLinkRange);if(D){for(let z=0;z0)if(z0?!0:j||$.isRowDirty(z)||S.has(z)||X.has(z))&&(k.add(z),z>0&&k.add(z-1),z0)if(z0?z-Math.floor(N):z;w=$.getLine(T)}else w=$.getLine(z);w&&this.renderLine(w,z,U.cols)}if(N===0&&R.visible&&this.cursorVisible){let z=R.style??this.cursorStyle;this.renderCursor(R.x,R.y,z)}G&&Z>0&&this.renderScrollbar(N,H,U.rows,Z),this.lastCursorPosition={x:R.x,y:R.y},$.clearDirty()}renderLine($,j,O){let G=j*this.metrics.height,Z=O*this.metrics.width;this.ctx.clearRect(0,G,Z,this.metrics.height),this.ctx.fillStyle=this.theme.background,this.ctx.fillRect(0,G,Z,this.metrics.height);for(let V=0;V<$.length;V++){let N=$[V];N.width!==0&&this.renderCellBackground(N,V,j)}for(let V=0;V<$.length;V++){let N=$[V];N.width!==0&&this.renderCellText(N,V,j)}}renderCellBackground($,j,O){let G=j*this.metrics.width,Z=O*this.metrics.height,V=this.metrics.width*$.width,N=this.isInSelection(j,O),J=$.bg_r,R=$.bg_g,U=$.bg_b;$.flags&O1.INVERSE&&(J=$.fg_r,R=$.fg_g,U=$.fg_b),J===0&&R===0&&U===0||(this.ctx.fillStyle=this.rgbToCSS(J,R,U),this.ctx.fillRect(G,Z,V,this.metrics.height)),N&&this.theme.selectionBackground&&(this.ctx.globalAlpha=0.4,this.ctx.fillStyle=this.theme.selectionBackground,this.ctx.fillRect(G,Z,V,this.metrics.height),this.ctx.globalAlpha=1)}renderCellText($,j,O,G){var Z;let V=j*this.metrics.width,N=O*this.metrics.height,J=this.metrics.width*$.width;if($.flags&O1.INVISIBLE)return;let R=this.isInSelection(j,O),U="";$.flags&O1.ITALIC&&(U+="italic "),$.flags&O1.BOLD&&(U+="bold "),this.ctx.font=this.buildFontString(U);let{fg_r:H,fg_g:L,fg_b:Y}=$;if($.flags&O1.INVERSE&&(H=$.bg_r,L=$.bg_g,Y=$.bg_b),G)this.ctx.fillStyle=G;else if(R){let k=this.theme.selectionForeground;k&&k!=="undefined"?this.ctx.fillStyle=k:this.ctx.fillStyle=this.rgbToCSS(H,L,Y)}else this.ctx.fillStyle=this.rgbToCSS(H,L,Y);$.flags&O1.FAINT&&(this.ctx.globalAlpha=0.5);let S=V,X=N+this.metrics.baseline,D;$.grapheme_len>0&&((Z=this.currentBuffer)!=null&&Z.getGraphemeString)?D=this.currentBuffer.getGraphemeString(O,j):D=String.fromCodePoint($.codepoint||32);let I=$.codepoint||32;if(this.renderBlockChar(I,V,N,J)||this.renderPowerlineGlyph(I,V,N,J)||this.ctx.fillText(D,S,X),$.flags&O1.FAINT&&(this.ctx.globalAlpha=1),$.flags&O1.UNDERLINE){let k=N+this.metrics.baseline+2;this.ctx.strokeStyle=this.ctx.fillStyle,this.ctx.lineWidth=1,this.ctx.beginPath(),this.ctx.moveTo(V,k),this.ctx.lineTo(V+J,k),this.ctx.stroke()}if($.flags&O1.STRIKETHROUGH){let k=N+this.metrics.height/2;this.ctx.strokeStyle=this.ctx.fillStyle,this.ctx.lineWidth=1,this.ctx.beginPath(),this.ctx.moveTo(V,k),this.ctx.lineTo(V+J,k),this.ctx.stroke()}if($.hyperlink_id>0&&$.hyperlink_id===this.hoveredHyperlinkId){let k=N+this.metrics.baseline+2;this.ctx.strokeStyle="#4A90E2",this.ctx.lineWidth=1,this.ctx.beginPath(),this.ctx.moveTo(V,k),this.ctx.lineTo(V+J,k),this.ctx.stroke()}if(this.hoveredLinkRange){let k=this.hoveredLinkRange;if(O===k.startY&&j>=k.startX&&(Ok.startY&&Ok.startY||j>=k.startX)){let z=N+this.metrics.baseline+2;this.ctx.strokeStyle="#4A90E2",this.ctx.lineWidth=1,this.ctx.beginPath(),this.ctx.moveTo(V,z),this.ctx.lineTo(V+J,z),this.ctx.stroke()}}}renderBlockChar($,j,O,G){let Z=this.metrics.height;switch($){case 9600:return this.ctx.fillRect(j,O,G,Z/2),!0;case 9601:return this.ctx.fillRect(j,O+Z*7/8,G,Z/8),!0;case 9602:return this.ctx.fillRect(j,O+Z*3/4,G,Z/4),!0;case 9603:return this.ctx.fillRect(j,O+Z*5/8,G,Z*3/8),!0;case 9604:return this.ctx.fillRect(j,O+Z/2,G,Z/2),!0;case 9605:return this.ctx.fillRect(j,O+Z*3/8,G,Z*5/8),!0;case 9606:return this.ctx.fillRect(j,O+Z/4,G,Z*3/4),!0;case 9607:return this.ctx.fillRect(j,O+Z/8,G,Z*7/8),!0;case 9608:return this.ctx.fillRect(j,O,G,Z),!0;case 9609:return this.ctx.fillRect(j,O,G*7/8,Z),!0;case 9610:return this.ctx.fillRect(j,O,G*3/4,Z),!0;case 9611:return this.ctx.fillRect(j,O,G*5/8,Z),!0;case 9612:return this.ctx.fillRect(j,O,G/2,Z),!0;case 9613:return this.ctx.fillRect(j,O,G*3/8,Z),!0;case 9614:return this.ctx.fillRect(j,O,G/4,Z),!0;case 9615:return this.ctx.fillRect(j,O,G/8,Z),!0;case 9616:return this.ctx.fillRect(j+G/2,O,G/2,Z),!0;case 9620:return this.ctx.fillRect(j,O,G,Z/8),!0;case 9621:return this.ctx.fillRect(j+G*7/8,O,G/8,Z),!0;default:return!1}}renderPowerlineGlyph($,j,O,G){let Z=this.metrics.height,V=this.ctx;switch($){case 57520:return V.beginPath(),V.moveTo(j,O),V.lineTo(j+G,O+Z/2),V.lineTo(j,O+Z),V.closePath(),V.fill(),!0;case 57521:return V.beginPath(),V.moveTo(j,O),V.lineTo(j+G,O+Z/2),V.lineTo(j,O+Z),V.strokeStyle=V.fillStyle,V.lineWidth=1,V.stroke(),!0;case 57522:return V.beginPath(),V.moveTo(j+G,O),V.lineTo(j,O+Z/2),V.lineTo(j+G,O+Z),V.closePath(),V.fill(),!0;case 57523:return V.beginPath(),V.moveTo(j+G,O),V.lineTo(j,O+Z/2),V.lineTo(j+G,O+Z),V.strokeStyle=V.fillStyle,V.lineWidth=1,V.stroke(),!0;case 57524:return V.beginPath(),V.moveTo(j,O),V.ellipse(j,O+Z/2,G,Z/2,0,-Math.PI/2,Math.PI/2,!1),V.closePath(),V.fill(),!0;case 57525:return V.beginPath(),V.moveTo(j,O),V.ellipse(j,O+Z/2,G,Z/2,0,-Math.PI/2,Math.PI/2,!1),V.strokeStyle=V.fillStyle,V.lineWidth=1,V.stroke(),!0;case 57526:return V.beginPath(),V.moveTo(j+G,O),V.ellipse(j+G,O+Z/2,G,Z/2,0,-Math.PI/2,Math.PI/2,!0),V.closePath(),V.fill(),!0;case 57527:return V.beginPath(),V.moveTo(j+G,O),V.ellipse(j+G,O+Z/2,G,Z/2,0,-Math.PI/2,Math.PI/2,!0),V.strokeStyle=V.fillStyle,V.lineWidth=1,V.stroke(),!0;default:return!1}}renderCursor($,j,O){var G;let Z=$*this.metrics.width,V=j*this.metrics.height,N=O??this.cursorStyle;switch(this.ctx.fillStyle=this.theme.cursor,N){case"block":this.ctx.fillRect(Z,V,this.metrics.width,this.metrics.height);let J=(G=this.currentBuffer)==null?void 0:G.getLine(j);J!=null&&J[$]&&this.renderCellText(J[$],$,j,this.theme.cursorAccent);break;case"underline":let R=Math.max(2,Math.floor(this.metrics.height*0.15));this.ctx.fillRect(Z,V+this.metrics.height-R,this.metrics.width,R);break;case"bar":let U=Math.max(2,Math.floor(this.metrics.width*0.15));this.ctx.fillRect(Z,V,U,this.metrics.height);break}}startCursorBlink(){this.cursorBlinkInterval=window.setInterval(()=>{this.cursorVisible=!this.cursorVisible},530)}stopCursorBlink(){this.cursorBlinkInterval!==void 0&&(clearInterval(this.cursorBlinkInterval),this.cursorBlinkInterval=void 0),this.cursorVisible=!0}setTheme($){this.theme={...QV,...$},this.palette=[this.theme.black,this.theme.red,this.theme.green,this.theme.yellow,this.theme.blue,this.theme.magenta,this.theme.cyan,this.theme.white,this.theme.brightBlack,this.theme.brightRed,this.theme.brightGreen,this.theme.brightYellow,this.theme.brightBlue,this.theme.brightMagenta,this.theme.brightCyan,this.theme.brightWhite]}setFontSize($){this.fontSize=$,this.metrics=this.measureFont()}setFontFamily($){this.fontFamily=$,this.metrics=this.measureFont()}setCursorStyle($){this.cursorStyle=$}setCursorBlink($){$&&!this.cursorBlink?(this.cursorBlink=!0,this.startCursorBlink()):!$&&this.cursorBlink&&(this.cursorBlink=!1,this.stopCursorBlink())}renderScrollbar($,j,O,G=1){let Z=this.ctx,V=this.canvas.height/this.devicePixelRatio,N=this.canvas.width/this.devicePixelRatio,R=N-8-4,H=V-8;if(Z.clearRect(R-2,0,14,V),Z.fillStyle=this.theme.background,Z.fillRect(R-2,0,14,V),G<=0||j===0)return;let L=j+O,Y=Math.max(20,O/L*H),S=$/j,X=4+(H-Y)*(1-S);Z.fillStyle=`rgba(128, 128, 128, ${0.1*G})`,Z.fillRect(R,4,8,H);let D=$>0?0.5:0.3;Z.fillStyle=`rgba(128, 128, 128, ${D*G})`,Z.fillRect(R,X,8,Y)}getMetrics(){return{...this.metrics}}getCanvas(){return this.canvas}setSelectionManager($){this.selectionManager=$}isInSelection($,j){let O=this.currentSelectionCoords;if(!O)return!1;let{startCol:G,startRow:Z,endCol:V,endRow:N}=O;return Z===N?j===Z&&$>=G&&$<=V:j===Z?$>=G:j===N?$<=V:j>Z&&jZ||O===Z&&j>G)&&([j,G]=[G,j],[O,Z]=[Z,O]);let V=this.wasmTerm.getScrollbackLength(),N="";for(let J=O;J<=Z;J++){let R=null;if(J0)if(J=0?Y=Y.substring(0,U):Y="",N+=Y,J=Z.cols;)N-=Z.cols,V++;V=Math.min(V,Z.rows-1);let J=this.getViewportY();this.selectionStart={col:j,absoluteRow:J+O},this.selectionEnd={col:N,absoluteRow:J+V},this.requestRender(),this.selectionChangedEmitter.fire()}selectLines(j,O){let G=this.wasmTerm.getDimensions();j=Math.max(0,Math.min(j,G.rows-1)),O=Math.max(0,Math.min(O,G.rows-1)),j>O&&([j,O]=[O,j]);let Z=this.getViewportY();this.selectionStart={col:0,absoluteRow:Z+j},this.selectionEnd={col:G.cols-1,absoluteRow:Z+O},this.requestRender(),this.selectionChangedEmitter.fire()}getSelectionPosition(){let j=this.normalizeSelection();if(j)return{start:{x:j.startCol,y:j.startRow},end:{x:j.endCol,y:j.endRow}}}deselect(){this.clearSelection(),this.selectionChangedEmitter.fire()}focus(){let j=this.renderer.getCanvas();j.parentElement&&j.parentElement.focus()}getSelectionCoords(){return this.normalizeSelection()}getDirtySelectionRows(){return this.dirtySelectionRows}clearDirtySelectionRows(){this.dirtySelectionRows.clear()}get onSelectionChange(){return this.selectionChangedEmitter.event}dispose(){this.selectionChangedEmitter.dispose(),this.stopAutoScroll(),this.boundMouseUpHandler&&(document.removeEventListener("mouseup",this.boundMouseUpHandler),this.boundMouseUpHandler=null),this.boundDocumentMouseMoveHandler&&(document.removeEventListener("mousemove",this.boundDocumentMouseMoveHandler),this.boundDocumentMouseMoveHandler=null),this.boundContextMenuHandler&&(this.renderer.getCanvas().removeEventListener("contextmenu",this.boundContextMenuHandler),this.boundContextMenuHandler=null),this.boundClickHandler&&(document.removeEventListener("click",this.boundClickHandler),this.boundClickHandler=null)}hasSGRMouseMode(){let j=this.terminal.wasmTerm;return j?j.getMode(1006,!1):!1}shouldReportMotion(j){let O=this.terminal.wasmTerm;return O?!!(O.getMode(1003,!1)||O.getMode(1002,!1)&&j):!1}mapButton(j){return j>=0&&j<=2?j:null}encodeModifiers(j){let O=0;return j.shiftKey&&(O+=4),(j.altKey||j.metaKey)&&(O+=8),j.ctrlKey&&(O+=16),O}sendMouseEvent(j,O,G,Z,V=0,N=!1){var J;if(!this.hasSGRMouseMode())return;let R=j+1,U=O+1,H=G;N&&(H+=32),H+=V;let L=`\x1B[<${H};${R};${U}${Z?"m":"M"}`;(J=this.terminal.dataEmitter)==null||J.fire(L)}sendScrollEvent(j,O,G,Z=0){let V=G?64:65;this.sendMouseEvent(j,O,V,!1,Z,!1)}attachEventListeners(){let j=this.renderer.getCanvas();j.addEventListener("mousedown",(O)=>{j.parentElement&&j.parentElement.focus();let G=this.pixelToCell(O.offsetX,O.offsetY);if(this.terminal.hasMouseTracking()){let Z=this.mapButton(O.button);if(Z===null)return;this.mouseButtonsPressed.add(Z);let V=this.encodeModifiers(O);this.sendMouseEvent(G.col,G.row,Z,!1,V),O.preventDefault();return}if(O.button===0){this.hasSelection()&&this.clearSelection();let Z=this.viewportRowToAbsolute(G.row);this.selectionStart={col:G.col,absoluteRow:Z},this.selectionEnd={col:G.col,absoluteRow:Z},this.isSelecting=!0}}),j.addEventListener("mousemove",(O)=>{if(this.terminal.hasMouseTracking()){let G=this.mouseButtonsPressed.size>0;if(this.shouldReportMotion(G)){let Z=this.pixelToCell(O.offsetX,O.offsetY),V=this.encodeModifiers(O),N=G?[...this.mouseButtonsPressed][0]:3;this.sendMouseEvent(Z.col,Z.row,N,!1,V,!0);return}if(G)return}if(this.isSelecting){this.markCurrentSelectionDirty();let G=this.pixelToCell(O.offsetX,O.offsetY),Z=this.viewportRowToAbsolute(G.row);this.selectionEnd={col:G.col,absoluteRow:Z},this.requestRender(),this.updateAutoScroll(O.offsetY,j.clientHeight)}}),j.addEventListener("mouseleave",(O)=>{if(this.isSelecting){let G=j.getBoundingClientRect();O.clientYG.bottom&&this.startAutoScroll(1)}}),j.addEventListener("mouseenter",()=>{this.isSelecting&&this.stopAutoScroll()}),this.boundDocumentMouseMoveHandler=(O)=>{if(this.isSelecting){let G=j.getBoundingClientRect(),Z=Math.max(G.left,Math.min(O.clientX,G.right)),V=Math.max(G.top,Math.min(O.clientY,G.bottom)),N=Z-G.left,J=V-G.top;if((O.clientXG.right||O.clientYG.bottom)&&(O.clientYG.bottom?this.startAutoScroll(1):this.stopAutoScroll(),this.autoScrollDirection===0)){this.markCurrentSelectionDirty();let R=this.pixelToCell(N,J),U=this.viewportRowToAbsolute(R.row);this.selectionEnd={col:R.col,absoluteRow:U},this.requestRender()}}},document.addEventListener("mousemove",this.boundDocumentMouseMoveHandler),document.addEventListener("mousedown",(O)=>{this.mouseDownTarget=O.target}),this.boundMouseUpHandler=(O)=>{let G=this.mapButton(O.button);if(G!==null&&this.mouseButtonsPressed.has(G)&&this.terminal.hasMouseTracking()){let Z=j.getBoundingClientRect(),V=Math.max(0,Math.min(O.clientX-Z.left,Z.width)),N=Math.max(0,Math.min(O.clientY-Z.top,Z.height)),J=this.pixelToCell(V,N),R=this.encodeModifiers(O);this.sendMouseEvent(J.col,J.row,G,!0,R),this.mouseButtonsPressed.delete(G);return}if(G!==null&&this.mouseButtonsPressed.delete(G),this.isSelecting){if(this.isSelecting=!1,this.stopAutoScroll(),this.selectionStart&&this.selectionEnd&&this.selectionStart.col===this.selectionEnd.col&&this.selectionStart.absoluteRow===this.selectionEnd.absoluteRow){this.selectionStart=null,this.selectionEnd=null;return}if(this.hasSelection()){let Z=this.getSelection();Z&&(this.copyToClipboard(Z),this.selectionChangedEmitter.fire())}}},document.addEventListener("mouseup",this.boundMouseUpHandler),j.addEventListener("click",(O)=>{if(O.detail===2){let G=this.pixelToCell(O.offsetX,O.offsetY),Z=this.getWordAtCell(G.col,G.row);if(Z){let V=this.viewportRowToAbsolute(G.row);this.selectionStart={col:Z.startCol,absoluteRow:V},this.selectionEnd={col:Z.endCol,absoluteRow:V},this.requestRender();let N=this.getSelection();N&&(this.copyToClipboard(N),this.selectionChangedEmitter.fire())}}else if(O.detail>=3){let G=this.pixelToCell(O.offsetX,O.offsetY),Z=this.viewportRowToAbsolute(G.row),V=this.wasmTerm.getScrollbackLength(),N=null;if(Z=0;R--)if(N[R]&&N[R].codepoint!==0&&N[R].codepoint!==32){J=R;break}}if(J>=0){this.selectionStart={col:0,absoluteRow:Z},this.selectionEnd={col:J,absoluteRow:Z},this.requestRender();let R=this.getSelection();R&&(this.copyToClipboard(R),this.selectionChangedEmitter.fire())}}}),this.boundContextMenuHandler=(O)=>{if(this.terminal.hasMouseTracking()){O.preventDefault();return}if(this.renderer.getCanvas().getBoundingClientRect(),this.textarea.style.position="fixed",this.textarea.style.left=`${O.clientX}px`,this.textarea.style.top=`${O.clientY}px`,this.textarea.style.width="1px",this.textarea.style.height="1px",this.textarea.style.zIndex="1000",this.textarea.style.opacity="0",this.textarea.style.pointerEvents="auto",this.hasSelection()){let G=this.getSelection();this.textarea.value=G,this.textarea.select(),this.textarea.setSelectionRange(0,G.length)}else this.textarea.value="";this.textarea.focus(),setTimeout(()=>{let G=()=>{this.textarea.style.pointerEvents="none",this.textarea.style.zIndex="-10",this.textarea.style.width="0",this.textarea.style.height="0",this.textarea.style.left="0",this.textarea.style.top="0",this.textarea.value="",document.removeEventListener("click",G),document.removeEventListener("contextmenu",G),this.textarea.removeEventListener("blur",G)};document.addEventListener("click",G,{once:!0}),document.addEventListener("contextmenu",G,{once:!0}),this.textarea.addEventListener("blur",G,{once:!0})},10)},j.addEventListener("contextmenu",this.boundContextMenuHandler),this.boundClickHandler=(O)=>{if(this.isSelecting||this.mouseDownTarget&&j.contains(this.mouseDownTarget))return;let G=O.target;j.contains(G)||this.hasSelection()&&this.clearSelection()},document.addEventListener("click",this.boundClickHandler)}markCurrentSelectionDirty(){let j=this.normalizeSelection();if(j)for(let O=j.startRow;O<=j.endRow;O++)this.dirtySelectionRows.add(O)}updateAutoScroll(j,O){let G=$.AUTO_SCROLL_EDGE_SIZE;jO-G?this.startAutoScroll(1):this.stopAutoScroll()}startAutoScroll(j){this.autoScrollInterval!==null&&this.autoScrollDirection===j||(this.stopAutoScroll(),this.autoScrollDirection=j,this.autoScrollInterval=setInterval(()=>{if(!this.isSelecting){this.stopAutoScroll();return}let O=$.AUTO_SCROLL_SPEED*this.autoScrollDirection;if(this.terminal.scrollLines(O),this.selectionEnd){let G=this.wasmTerm.getDimensions();if(this.autoScrollDirection<0){let Z=this.viewportRowToAbsolute(0);Zthis.selectionEnd.absoluteRow&&(this.selectionEnd={col:G.cols-1,absoluteRow:Z})}}this.requestRender()},$.AUTO_SCROLL_INTERVAL))}stopAutoScroll(){this.autoScrollInterval!==null&&(clearInterval(this.autoScrollInterval),this.autoScrollInterval=null),this.autoScrollDirection=0}pixelToCell(j,O){let G=this.renderer.getMetrics(),Z=Math.floor(j/G.width),V=Math.floor(O/G.height);return{col:Math.max(0,Math.min(Z,this.terminal.cols-1)),row:Math.max(0,Math.min(V,this.terminal.rows-1))}}normalizeSelection(){if(!this.selectionStart||!this.selectionEnd)return null;let{col:j,absoluteRow:O}=this.selectionStart,{col:G,absoluteRow:Z}=this.selectionEnd;(O>Z||O===Z&&j>G)&&([j,G]=[G,j],[O,Z]=[Z,O]);let V=this.absoluteRowToViewport(O),N=this.absoluteRowToViewport(Z),J=this.wasmTerm.getDimensions(),R=J.rows-1;return N<0||V>R?null:(V<0&&(V=0,j=0),N>R&&(N=R,G=J.cols-1),{startCol:j,startRow:V,endCol:G,endRow:N})}getWordAtCell(j,O){let G=this.wasmTerm.getLine(O);if(!G)return null;let Z=(J)=>{if(!J||J.codepoint===0)return!1;let R=String.fromCodePoint(J.codepoint);return/[\w\-./~:@+]/.test(R)};if(!Z(G[j]))return null;let V=j;for(;V>0&&Z(G[V-1]);)V--;let N=j;for(;N{console.warn("ClipboardItem write failed, trying writeText:",Z),this.copyWithWriteText(j)});return}catch{}if(navigator.clipboard&&navigator.clipboard.writeText){navigator.clipboard.writeText(j).catch((O)=>{console.warn("Clipboard writeText failed, trying execCommand:",O),this.copyWithExecCommand(j)});return}this.copyWithExecCommand(j)}}copyWithWriteText(j){navigator.clipboard&&navigator.clipboard.writeText?navigator.clipboard.writeText(j).catch((O)=>{console.warn("Clipboard writeText failed, trying execCommand:",O),this.copyWithExecCommand(j)}):this.copyWithExecCommand(j)}copyWithExecCommand(j){let O=document.activeElement;try{let G=this.textarea;G.value=j,G.style.position="fixed",G.style.left="-9999px",G.style.top="0",G.style.width="1px",G.style.height="1px",G.style.opacity="0",G.focus(),G.select(),G.setSelectionRange(0,j.length);let Z=document.execCommand("copy");O&&O.focus(),Z||console.warn("execCommand copy failed")}catch(G){console.warn("execCommand copy threw:",G),O&&O.focus()}}requestRender(){}};yq.AUTO_SCROLL_EDGE_SIZE=30;yq.AUTO_SCROLL_SPEED=3;yq.AUTO_SCROLL_INTERVAL=50;var _D=yq;class oR{constructor($){this.terminal=$}getLine($){var j;let O=this.terminal.getSnapshotCells();return O&&$>=0&&$=0&&${if(!this.wasmTerm||this.scrollAnimationStartTime===void 0)return;let O=this.options.smoothScrollDuration??100,G=this.targetViewportY-this.viewportY;if(Math.abs(G)<0.01){this.viewportY=this.targetViewportY,this.scrollEmitter.fire(Math.floor(this.viewportY)),this.getScrollbackLength()>0&&this.showScrollbar(),this.scrollAnimationFrame=void 0,this.scrollAnimationStartTime=void 0,this.scrollAnimationStartY=void 0;return}let Z=1-(1/(O/1000*60))**2;this.viewportY+=G*Z;let V=Math.floor(this.viewportY);this.scrollEmitter.fire(V),this.getScrollbackLength()>0&&this.showScrollbar(),this.scrollAnimationFrame=requestAnimationFrame(this.animateScroll)},this.handleMouseMove=(O)=>{if(!(!this.canvas||!this.renderer||!this.wasmTerm)){if(this.isDraggingScrollbar){this.processScrollbarDrag(O);return}if(this.linkDetector){if(this.mouseMoveThrottleTimeout){this.pendingMouseMove=O;return}this.processMouseMove(O),this.mouseMoveThrottleTimeout=window.setTimeout(()=>{if(this.mouseMoveThrottleTimeout=void 0,this.pendingMouseMove){let G=this.pendingMouseMove;this.pendingMouseMove=void 0,this.processMouseMove(G)}},16)}}},this.handleMouseLeave=()=>{var O,G;this.renderer&&this.wasmTerm&&((this.renderer.hoveredHyperlinkId||0)>0&&this.renderer.setHoveredHyperlinkId(0),this.renderer.setHoveredLinkRange(null)),this.currentHoveredLink&&((G=(O=this.currentHoveredLink).hover)==null||G.call(O,!1),this.currentHoveredLink=void 0,this.element&&(this.element.style.cursor="text"))},this.handleClick=async(O)=>{if(!this.canvas||!this.renderer||!this.linkDetector||!this.wasmTerm)return;let G=this.canvas.getBoundingClientRect(),Z=Math.floor((O.clientX-G.left)/this.renderer.charWidth),V=Math.floor((O.clientY-G.top)/this.renderer.charHeight),N=this.wasmTerm.getScrollbackLength(),J,R=this.getViewportY(),U=Math.max(0,Math.floor(R));if(U>0)if(V{var G,Z,V,N;if(O.preventDefault(),O.stopPropagation(),this.customWheelEventHandler&&this.customWheelEventHandler(O))return;let J=((G=this.wasmTerm)==null?void 0:G.getMode(1006,!1))??!1;if(this.hasMouseTracking()&&J&&this.canvas&&this.renderer){let R=this.canvas.getBoundingClientRect(),U=O.clientX-R.left,H=O.clientY-R.top,L=this.renderer.getMetrics(),Y=Math.max(0,Math.min(Math.floor(U/L.width),this.cols-1)),S=Math.max(0,Math.min(Math.floor(H/L.height),this.rows-1)),X=0;O.shiftKey&&(X+=4),(O.altKey||O.metaKey)&&(X+=8),O.ctrlKey&&(X+=16);let D=Math.min(Math.abs(Math.round(O.deltaY/33)),5),I=(O.deltaY<0?64:65)+X;for(let k=0;k0?"down":"up",U=Math.min(Math.abs(Math.round(O.deltaY/33)),5);for(let H=0;H{if(!this.canvas||!this.renderer||!this.wasmTerm)return;let G=this.wasmTerm.getScrollbackLength();if(G===0)return;let Z=this.canvas.getBoundingClientRect(),V=O.clientX-Z.left,N=O.clientY-Z.top,J=Z.width,R=Z.height,U=8,H=J-U-4,L=4;if(V>=H&&V<=H+U){O.preventDefault(),O.stopPropagation(),O.stopImmediatePropagation();let Y=R-L*2,S=this.rows,X=G+S,D=Math.max(20,S/X*Y),I=this.viewportY/G,k=L+(Y-D)*(1-I);if(N>=k&&N<=k+D)this.isDraggingScrollbar=!0,this.scrollbarDragStart=N,this.scrollbarDragStartViewportY=this.viewportY,this.canvas&&(this.canvas.style.userSelect="none",this.canvas.style.webkitUserSelect="none");else{let z=1-(N-L)/Y,w=Math.round(z*G);this.scrollToLine(Math.max(0,Math.min(G,w)))}}},this.handleMouseUp=()=>{this.isDraggingScrollbar&&(this.isDraggingScrollbar=!1,this.scrollbarDragStart=null,this.canvas&&(this.canvas.style.userSelect="",this.canvas.style.webkitUserSelect=""),this.scrollbarVisible&&this.getScrollbackLength()>0&&this.showScrollbar())},this.ghostty=$.ghostty??TD(),this.linkClickHandler=$.onLinkClick;let j={cols:$.cols??80,rows:$.rows??24,cursorBlink:$.cursorBlink??!1,cursorStyle:$.cursorStyle??"block",theme:$.theme??{},scrollback:$.scrollback??1e4,fontSize:$.fontSize??15,fontFamily:$.fontFamily??"monospace",allowTransparency:$.allowTransparency??!1,convertEol:$.convertEol??!1,disableStdin:$.disableStdin??!1,smoothScrollDuration:$.smoothScrollDuration??100};this.options=new Proxy(j,{set:(O,G,Z)=>{let V=O[G];return O[G]=Z,this.isOpen&&this.handleOptionChange(G,Z,V),!0}}),this.cols=this.options.cols,this.rows=this.options.rows,this.buffer=new pR(this),this.snapshotBuffer=new oR(this)}handleOptionChange($,j,O){if(j!==O)switch($){case"disableStdin":break;case"cursorBlink":case"cursorStyle":this.renderer&&(this.renderer.setCursorStyle(this.options.cursorStyle),this.renderer.setCursorBlink(this.options.cursorBlink));break;case"theme":this.renderer&&(this.renderer.setTheme(this.options.theme),this.wasmTerm&&this.renderer.render(this.wasmTerm,!0,this.viewportY,this));break;case"fontSize":this.renderer&&(this.renderer.setFontSize(this.options.fontSize),this.handleFontChange());break;case"fontFamily":this.renderer&&(this.renderer.setFontFamily(this.options.fontFamily),this.handleFontChange());break;case"cols":case"rows":this.resize(this.options.cols,this.options.rows);break}}handleFontChange(){if(!this.renderer||!this.wasmTerm||!this.canvas)return;this.selectionManager&&this.selectionManager.clearSelection(),this.renderer.resize(this.cols,this.rows);let $=this.renderer.getMetrics();this.canvas.width=$.width*this.cols,this.canvas.height=$.height*this.rows,this.canvas.style.width=`${$.width*this.cols}px`,this.canvas.style.height=`${$.height*this.rows}px`,this.renderer.render(this.wasmTerm,!0,this.viewportY,this)}parseColorToHex($){if(!$)return 0;if($.startsWith("#")){let O=$.slice(1);O.length===3&&(O=O[0]+O[0]+O[1]+O[1]+O[2]+O[2]);let G=Number.parseInt(O,16);return Number.isNaN(G)?0:G}let j=$.match(/rgb\((\d+),\s*(\d+),\s*(\d+)\)/);if(j){let O=Number.parseInt(j[1],10),G=Number.parseInt(j[2],10),Z=Number.parseInt(j[3],10);return O<<16|G<<8|Z}return 0}buildWasmConfig(){let $=this.options.theme,j=this.options.scrollback;if(!$&&j===1e4)return;let O={...QV,...$},G=[this.parseColorToHex(O.black),this.parseColorToHex(O.red),this.parseColorToHex(O.green),this.parseColorToHex(O.yellow),this.parseColorToHex(O.blue),this.parseColorToHex(O.magenta),this.parseColorToHex(O.cyan),this.parseColorToHex(O.white),this.parseColorToHex(O.brightBlack),this.parseColorToHex(O.brightRed),this.parseColorToHex(O.brightGreen),this.parseColorToHex(O.brightYellow),this.parseColorToHex(O.brightBlue),this.parseColorToHex(O.brightMagenta),this.parseColorToHex(O.brightCyan),this.parseColorToHex(O.brightWhite)];return{scrollbackLimit:j,fgColor:this.parseColorToHex(O.foreground),bgColor:this.parseColorToHex(O.background),cursorColor:this.parseColorToHex(O.cursor),palette:G}}open($){if(this.isOpen)throw Error("Terminal is already open");if(this.isDisposed)throw Error("Terminal has been disposed");this.element=$,this.isOpen=!0;try{$.setAttribute("tabindex","-1"),$.setAttribute("role","textbox"),$.setAttribute("aria-label","Terminal input"),$.setAttribute("aria-multiline","true");let j=this.buildWasmConfig();this.wasmTerm=this.ghostty.createTerminal(this.cols,this.rows,j),this.canvas=document.createElement("canvas"),this.canvas.style.display="block",$.appendChild(this.canvas),this.textarea=document.createElement("textarea"),this.textarea.setAttribute("autocorrect","off"),this.textarea.setAttribute("autocapitalize","off"),this.textarea.setAttribute("spellcheck","false"),this.textarea.setAttribute("tabindex","0"),this.textarea.setAttribute("aria-label","Terminal input"),this.textarea.style.position="absolute",this.textarea.style.left="0",this.textarea.style.top="0",this.textarea.style.width="1px",this.textarea.style.height="1px",this.textarea.style.padding="0",this.textarea.style.border="none",this.textarea.style.margin="0",this.textarea.style.opacity="0",this.textarea.style.clipPath="inset(50%)",this.textarea.style.overflow="hidden",this.textarea.style.whiteSpace="nowrap",this.textarea.style.resize="none",$.appendChild(this.textarea),this.compositionPreview=document.createElement("div"),this.compositionPreview.style.position="absolute",this.compositionPreview.style.top="4px",this.compositionPreview.style.right="4px",this.compositionPreview.style.padding="2px 8px",this.compositionPreview.style.backgroundColor="rgba(0, 0, 0, 0.7)",this.compositionPreview.style.color="#ffcc00",this.compositionPreview.style.fontFamily="monospace",this.compositionPreview.style.fontSize="12px",this.compositionPreview.style.borderRadius="3px",this.compositionPreview.style.display="none",this.compositionPreview.style.zIndex="1000",$.appendChild(this.compositionPreview),this.textarea.addEventListener("compositionupdate",(J)=>{J.data&&(this.compositionPreview.textContent=`조합중: ${J.data}`,this.compositionPreview.style.display="block")}),this.textarea.addEventListener("compositionend",()=>{this.compositionPreview.style.display="none"});let O=this.textarea;this.canvas.addEventListener("mousedown",(J)=>{J.preventDefault(),O.focus()}),this.canvas.addEventListener("touchend",(J)=>{J.preventDefault(),O.focus()}),$.addEventListener("mousedown",(J)=>{J.target===$&&(J.preventDefault(),O.focus())}),$.addEventListener("focus",()=>{O.focus()}),this.renderer=new lR(this.canvas,{fontSize:this.options.fontSize,fontFamily:this.options.fontFamily,cursorStyle:this.options.cursorStyle,cursorBlink:this.options.cursorBlink,theme:this.options.theme}),this.renderer.resize(this.cols,this.rows);let G=this.canvas,Z=this.renderer,V=this.wasmTerm,N={hasMouseTracking:()=>(V==null?void 0:V.hasMouseTracking())??!1,hasSgrMouseMode:()=>(V==null?void 0:V.getMode(1006,!1))??!0,getCellDimensions:()=>({width:Z.charWidth,height:Z.charHeight}),getCanvasOffset:()=>{let J=G.getBoundingClientRect();return{left:J.left,top:J.top}}};this.inputHandler=new xD(this.ghostty,$,(J)=>{this.options.disableStdin||this.dataEmitter.fire(J)},()=>{this.bellEmitter.fire()},(J)=>{this.keyEmitter.fire(J)},this.customKeyEventHandler,(J)=>{var R;return((R=this.wasmTerm)==null?void 0:R.getMode(J,!1))??!1},()=>this.copySelection(),this.textarea,N),this.selectionManager=new _D(this,this.renderer,this.wasmTerm,this.textarea),this.renderer.setSelectionManager(this.selectionManager),this.selectionManager.onSelectionChange(()=>{this.selectionChangeEmitter.fire()}),this.linkDetector=new uR(this),this.linkDetector.registerProvider(new dR(this)),this.linkDetector.registerProvider(new LD(this)),$.addEventListener("mousedown",this.handleMouseDown,{capture:!0}),$.addEventListener("mousemove",this.handleMouseMove),$.addEventListener("mouseleave",this.handleMouseLeave),$.addEventListener("click",this.handleClick),document.addEventListener("mouseup",this.handleMouseUp),$.addEventListener("wheel",this.handleWheel,{passive:!1,capture:!0}),this.isOpen=!0,this.renderer.render(this.snapshotBuffer,!0,this.viewportY,this,this.scrollbarOpacity),this.startRenderLoop(),this.focus()}catch(j){throw this.isOpen=!1,this.cleanupComponents(),Error(`Failed to open terminal: ${j}`)}}write($,j){if(this.assertOpen(),this.options.convertEol&&typeof $=="string"&&($=$.replace(/\n/g,`\r +`)),this._isResizing){let O=$ instanceof Uint8Array?new Uint8Array($):$;this._writeQueue.push({data:O,callback:j});return}this.writeInternal($,j)}writeInternal($,j){var O;this.wasmTerm.write($),this.processTerminalResponses(),typeof $=="string"&&$.includes("\x07")?this.bellEmitter.fire():$ instanceof Uint8Array&&$.includes(7)&&this.bellEmitter.fire(),(O=this.linkDetector)==null||O.invalidateCache(),this.viewportY!==0&&this.scrollToBottom(),typeof $=="string"&&$.includes("\x1B]")&&this.checkForTitleChange($),j&&requestAnimationFrame(j)}writeln($,j){if(typeof $=="string")this.write($+`\r +`,j);else{let O=new Uint8Array($.length+2);O.set($),O[$.length]=13,O[$.length+1]=10,this.write(O,j)}}paste($){this.assertOpen(),!this.options.disableStdin&&(this.wasmTerm.hasBracketedPaste()?this.dataEmitter.fire("\x1B[200~"+$+"\x1B[201~"):this.dataEmitter.fire($))}input($,j=!1){this.assertOpen(),!this.options.disableStdin&&(j?this.dataEmitter.fire($):this.write($))}resize($,j){if(this.assertOpen(),$===this.cols&&j===this.rows)return;this._resizeFlushFrameId&&(cancelAnimationFrame(this._resizeFlushFrameId),this._resizeFlushFrameId=void 0),this._isResizing=!0;let O=this.animationFrameId!==void 0;this.animationFrameId&&(cancelAnimationFrame(this.animationFrameId),this.animationFrameId=void 0);try{this.wasmTerm.resize($,j),this.cols=$,this.rows=j,this.renderer.resize($,j);let G=this.renderer.getMetrics();this.canvas.width=G.width*$,this.canvas.height=G.height*j,this.canvas.style.width=`${G.width*$}px`,this.canvas.style.height=`${G.height*j}px`,this.resizeEmitter.fire({cols:$,rows:j}),this.renderer.render(this.snapshotBuffer,!0,this.viewportY,this)}catch(G){console.error("[ghostty-web] Resize error:",G)}O&&this.startRenderLoop(),this._resizeFlushFrameId=requestAnimationFrame(()=>{this._resizeFlushFrameId=void 0,this._isResizing=!1,this.flushWriteQueue()})}flushWriteQueue(){if(this.isDisposed||!this.isOpen){this._writeQueue=[];return}let $=this._writeQueue;this._writeQueue=[];for(let{data:j,callback:O}of $)this.writeInternal(j,O)}clear(){this.assertOpen(),this.wasmTerm.write("\x1B[2J\x1B[H")}reset(){this.assertOpen(),this.wasmTerm&&this.wasmTerm.free();let $=this.buildWasmConfig();this.wasmTerm=this.ghostty.createTerminal(this.cols,this.rows,$),this.renderer.clear(),this.currentTitle=""}focus(){if(this.isOpen){let $=this.textarea||this.element;$&&($.focus(),setTimeout(()=>{$==null||$.focus()},0))}}blur(){this.isOpen&&this.element&&this.element.blur()}loadAddon($){$.activate(this),this.addons.push($)}getSelection(){var $;return(($=this.selectionManager)==null?void 0:$.getSelection())||""}hasSelection(){var $;return(($=this.selectionManager)==null?void 0:$.hasSelection())||!1}clearSelection(){var $;($=this.selectionManager)==null||$.clearSelection()}copySelection(){var $;return(($=this.selectionManager)==null?void 0:$.copySelection())||!1}selectAll(){var $;($=this.selectionManager)==null||$.selectAll()}select($,j,O){var G;(G=this.selectionManager)==null||G.select($,j,O)}selectLines($,j){var O;(O=this.selectionManager)==null||O.selectLines($,j)}getViewportY(){return this.viewportY}getSelectionPosition(){var $;return($=this.selectionManager)==null?void 0:$.getSelectionPosition()}attachCustomKeyEventHandler($){this.customKeyEventHandler=$,this.inputHandler&&this.inputHandler.setCustomKeyEventHandler($)}attachCustomWheelEventHandler($){this.customWheelEventHandler=$}loadFonts(){this.renderer&&(this.renderer.remeasureFont(),this.handleFontChange())}registerLinkProvider($){if(!this.linkDetector)throw Error("Terminal must be opened before registering link providers");this.linkDetector.registerProvider($)}scrollLines($){if(!this.wasmTerm)throw Error("Terminal not open");let j=this.getScrollbackLength(),O=Math.max(0,Math.min(j,this.viewportY-$));O!==this.viewportY&&(this.viewportY=O,this.scrollEmitter.fire(this.viewportY),j>0&&this.showScrollbar())}scrollPages($){this.scrollLines($*this.rows)}scrollToTop(){let $=this.getScrollbackLength();$>0&&this.viewportY!==$&&(this.viewportY=$,this.scrollEmitter.fire(this.viewportY),this.showScrollbar())}scrollToBottom(){this.viewportY!==0&&(this.viewportY=0,this.scrollEmitter.fire(this.viewportY),this.getScrollbackLength()>0&&this.showScrollbar())}scrollToLine($){let j=this.getScrollbackLength(),O=Math.max(0,Math.min(j,$));O!==this.viewportY&&(this.viewportY=O,this.scrollEmitter.fire(this.viewportY),j>0&&this.showScrollbar())}smoothScrollTo($){if(!this.wasmTerm)return;let j=this.getScrollbackLength(),O=Math.max(0,Math.min(j,$));if((this.options.smoothScrollDuration??100)===0){this.viewportY=O,this.targetViewportY=O,this.scrollEmitter.fire(Math.floor(this.viewportY)),j>0&&this.showScrollbar();return}this.targetViewportY=O,!this.scrollAnimationFrame&&(this.scrollAnimationStartTime=Date.now(),this.scrollAnimationStartY=this.viewportY,this.animateScroll())}dispose(){if(!this.isDisposed){this.isDisposed=!0,this.isOpen=!1,this.animationFrameId&&(cancelAnimationFrame(this.animationFrameId),this.animationFrameId=void 0),this.scrollAnimationFrame&&(cancelAnimationFrame(this.scrollAnimationFrame),this.scrollAnimationFrame=void 0),this._resizeFlushFrameId&&(cancelAnimationFrame(this._resizeFlushFrameId),this._resizeFlushFrameId=void 0),this._writeQueue=[],this._isResizing=!1,this.mouseMoveThrottleTimeout&&(clearTimeout(this.mouseMoveThrottleTimeout),this.mouseMoveThrottleTimeout=void 0),this.pendingMouseMove=void 0;for(let $ of this.addons)$.dispose();this.addons=[],this.cleanupComponents(),this.dataEmitter.dispose(),this.resizeEmitter.dispose(),this.bellEmitter.dispose(),this.selectionChangeEmitter.dispose(),this.keyEmitter.dispose(),this.titleChangeEmitter.dispose(),this.scrollEmitter.dispose(),this.renderEmitter.dispose(),this.cursorMoveEmitter.dispose()}}startRenderLoop(){let $=()=>{if(!this.isDisposed&&this.isOpen){try{this.renderer.render(this.snapshotBuffer,!1,this.viewportY,this,this.scrollbarOpacity);let j=this.wasmTerm.getCursor();j.y!==this.lastCursorY&&(this.lastCursorY=j.y,this.cursorMoveEmitter.fire())}catch(j){console.error("[ghostty-web] render loop error (recovering):",j)}this.animationFrameId=requestAnimationFrame($)}};$()}getScrollbackLine($){return this.wasmTerm?this.wasmTerm.getScrollbackLine($):null}getScrollbackLength(){return this.wasmTerm?this.wasmTerm.getScrollbackLength():0}cleanupComponents(){this.selectionManager&&(this.selectionManager.dispose(),this.selectionManager=void 0),this.inputHandler&&(this.inputHandler.dispose(),this.inputHandler=void 0),this.renderer&&(this.renderer.dispose(),this.renderer=void 0),this.canvas&&this.canvas.parentNode&&(this.canvas.parentNode.removeChild(this.canvas),this.canvas=void 0),this.textarea&&this.textarea.parentNode&&(this.textarea.parentNode.removeChild(this.textarea),this.textarea=void 0),this.compositionPreview&&this.compositionPreview.parentNode&&(this.compositionPreview.parentNode.removeChild(this.compositionPreview),this.compositionPreview=void 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opened before use. 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DIV_CEIL(reduceSize, 2u); + if (local_idx < currentSize) { + let candidate = aBestValues[local_idx + interval]; + bestValue = ${MU[G]}; + aBestValues[local_idx] = bestValue; + } + reduceSize = interval; + workgroupBarrier(); + } + + if (local_idx == 0u) { + ${L.setByOffset("outputIndex",G==="mean"?`${L.type.storage}(bestValue / f32(uniforms.reduceSize))`:`${L.type.storage}(${bU[G]})`)}; + } + }`,getRunData:()=>({outputs:[{dims:V,dataType:Z}],dispatchGroup:{x:R},programUniforms:[{type:12,data:U}]})}},x3=($,j,O,G)=>{let Z=$.inputs.length===1?O:aJ($.inputs,O),V=Z.axes;V.length===0&&!Z.noopWithEmptyAxes&&(V=$.inputs[0].dims.map((S,X)=>X));let 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max/min + ${w[1]} + ${T} + ${w[3]} + ${w.length===4?z.setByOffset("global_idx","value"):w.slice(4).join(` +`)} + }`},getRunData:()=>({outputs:[{dims:R,dataType:V}],dispatchGroup:{x:Math.ceil(X/64)},programUniforms:[{type:12,data:X},...$6(U,R)]})}},aJ=($,j)=>{let O=[];return $[1].dims[0]>0&&$[1].getBigInt64Array().forEach((G)=>O.push(Number(G))),$9({axes:O,keepDims:j.keepDims,noopWithEmptyAxes:j.noopWithEmptyAxes})},_3=($,j,O,G)=>{let Z=$.inputs,V=Z.length===1?O:aJ(Z,O);$.compute(JV(j,{hint:V.cacheKey,inputDependencies:["rank"]},[Z[0]],V.noopWithEmptyAxes&&V.axes.length===0?hU:G,V.axes,Z[0].dataType,V.keepDims,V.noopWithEmptyAxes),{inputs:[0]})},cU=($,j)=>{L3($.inputs),_3($,"ReduceLogSum",j,(O,G)=>[`var value = ${G.type.storage}(0);`,"",`value += ${O.getByIndices("input_indices")};`,"value = log(value);"])},mU=($,j)=>{L3($.inputs),_3($,"ReduceL1",j,(O,G)=>[`var value = ${G.type.storage}(0);`,"",`value += 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i32(last_index); + }`,"",G.setByOffset("global_idx","best_index")]},[j.axis],7,j.keepDims),{inputs:[0]})},rJ=($)=>$9($)}),pv=k5(()=>{x6(),I6(),cv(),W6(),iU=($,j)=>{let O=$[0],G=$[1],Z=$[2],V=$[3],N=$[4],J=$[5];if(N&&J)throw Error("Attention cannot have both past and attention_bias");if(O.dims.length!==3)throw Error('Input "input" must have 3 dimensions');let R=O.dims[0],U=O.dims[1],H=O.dims[2];if(Z.dims.length!==1)throw Error('Input "bias" is expected to have 1 dimensions');if(G.dims.length!==2)throw Error('Input "weights" is expected to have 2 dimensions');if(G.dims[0]!==H)throw Error("Input 1 dimension 0 should have same length as dimension 2 of input 0");if(Z.dims[0]!==G.dims[1])throw Error('Input "bias" dimension 0 should have same length as dimension 1 of input "weights"');let L=Z.dims[0]/3,Y=L,S=Y;if(j.qkvHiddenSizes.length>0){if(j.qkvHiddenSizes.length!==3)throw Error("qkv_hidden_sizes attribute should have 3 elements");for(let k of j.qkvHiddenSizes)if(k%j.numHeads!==0)throw 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bool = is_subsequent_prompt == false && sequence_length == total_sequence_length_input; + total_sequence_length = u32(${$?.getByOffset("batchIdx")}) + 1; + var past_sequence_length: u32 = 0; + if (is_first_prompt == false) { + past_sequence_length = total_sequence_length - sequence_length; + } + `:` + ${O?"let past_sequence_length = uniforms.past_sequence_length":""}; + let present_sequence_length = total_sequence_length; + `,aU=($,j,O,G,Z,V,N,J)=>{let R=M9(N?1:V),U=64,H=V/R;H{let k=n5("x",$.dataType,$.dims,R),z=[k],w=N?j5("seq_lens",N.dataType,N.dims):void 0;w&&z.push(w);let T=J?j5("total_sequence_length_input",J.dataType,J.dims):void 0;T&&z.push(T);let W=z1($.dataType);return` + var thread_max: array; + var thread_sum: array; + ${I.registerUniforms([{name:"batch_size",type:"u32"},{name:"num_heads",type:"u32"},{name:"past_sequence_length",type:"u32"},{name:"sequence_length",type:"u32"},{name:"total_sequence_length",type:"u32"},{name:"elements_per_thread",type:"u32"}]).declareVariables(...z)} + ${I.mainStart([U,1,1])} + let batchIdx = workgroup_id.z / uniforms.num_heads; + let headIdx = workgroup_id.z % uniforms.num_heads; + let sequence_length = uniforms.sequence_length; + var total_sequence_length = uniforms.total_sequence_length; + ${Kq(w,T,!1)} + let local_offset = local_idx * uniforms.elements_per_thread; + let offset = (global_idx / ${U}) * uniforms.total_sequence_length + local_offset; + let seq_causal_length = ${N?"u32(past_sequence_length + workgroup_id.y + 1)":"total_sequence_length"}; + var thread_max_vector = ${X}(-3.402823e+38f); + for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) { + thread_max_vector = max(${X}(x[offset + i]), thread_max_vector); + } + thread_max[local_idx] = ${(()=>{switch(R){case 1:return"thread_max_vector";case 2:return"max(thread_max_vector.x, thread_max_vector.y)";case 4:return"max(max(thread_max_vector.x, thread_max_vector.y), max(thread_max_vector.z, thread_max_vector.w))";default:throw Error(`Unsupported components: ${R}`)}})()}; + workgroupBarrier(); + + var max_value = f32(-3.402823e+38f); + for (var i = 0u; i < ${U}; i++) { + max_value = max(thread_max[i], max_value); + } + + var sum_vector = ${X}(0); + for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) { + sum_vector += exp(${X}(x[offset + i]) - max_value); + } + thread_sum[local_idx] = ${(()=>{switch(R){case 1:return"sum_vector";case 2:return"sum_vector.x + sum_vector.y";case 4:return"sum_vector.x + sum_vector.y + sum_vector.z + sum_vector.w";default:throw Error(`Unsupported components: ${R}`)}})()}; + workgroupBarrier(); + + var sum: f32 = 0; + for (var i = 0u; i < ${U}; i++) { + sum += thread_sum[i]; + } + + if (sum == 0) { + for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) { + x[offset + i] = ${k.type.value}(${W}(1.0) / ${W}(seq_causal_length)); + } + } else { + for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) { + var f32input = ${X}(x[offset + i]); + x[offset + i] = ${k.type.value}(exp(f32input - max_value) / sum); + } + } + ${N?` + for (var total_seq_id: u32 = seq_causal_length; total_seq_id + local_offset < uniforms.total_sequence_length; total_seq_id++) { + x[offset + total_seq_id] = ${k.type.value}(${W}(0)); + }`:""}; + }`},getRunData:()=>({outputs:[],dispatchGroup:{x:1,y:Z,z:j*O},programUniforms:Y})}},rU=($,j,O,G,Z,V,N,J,R)=>{let U=N+V.kvSequenceLength,H=[V.batchSize,V.numHeads,V.sequenceLength,U],L=$>1&&G,Y=V.kvNumHeads?V.kvNumHeads:V.numHeads,S=L?[V.batchSize,Y,U,V.headSize]:void 0,X=V.nReps?V.nReps:1,D=V.scale===0?1/Math.sqrt(V.headSize):V.scale,I=M9(V.headSize),k=V.headSize/I,z=12,w={x:Math.ceil(U/z),y:Math.ceil(V.sequenceLength/z),z:V.batchSize*V.numHeads},T=[{type:12,data:V.sequenceLength},{type:12,data:k},{type:12,data:U},{type:12,data:V.numHeads},{type:12,data:V.headSize},{type:1,data:D},{type:12,data:N},{type:12,data:V.kvSequenceLength},{type:12,data:X}],W=L&&G&&d0.size(G.dims)>0,E=["type","type"];W&&E.push("type"),Z&&E.push("type"),J&&E.push("type"),R&&E.push("type");let Q=[{dims:H,dataType:j.dataType,gpuDataType:0}];return L&&Q.push({dims:S,dataType:j.dataType,gpuDataType:0}),{name:"AttentionProbs",shaderCache:{hint:`${I};${Z!==void 0};${G!==void 0};${$}`,inputDependencies:E},getRunData:()=>({outputs:Q,dispatchGroup:w,programUniforms:T}),getShaderSource:(A)=>{let l=j5("q",j.dataType,j.dims,I),r=[l,j5("key",O.dataType,O.dims,I)];if(W){let G0=j5("past_key",G.dataType,G.dims,I);r.push(G0)}Z&&r.push(j5("attention_bias",Z.dataType,Z.dims));let e=J?j5("seq_lens",J.dataType,J.dims):void 0;e&&r.push(e);let V0=R?j5("total_sequence_length_input",R.dataType,R.dims):void 0;V0&&r.push(V0);let v0=n5("output",j.dataType,H),$0=[v0];L&&$0.push(n5("present_key",j.dataType,S,I));let i=z1(1,I);return` + const TILE_SIZE = 12u; + + var tileQ: array<${l.type.storage}, 144>; + var tileK: array<${l.type.storage}, 144>; + ${A.registerUniforms([{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"alpha",type:"f32"},{name:"past_sequence_length",type:"u32"},{name:"kv_sequence_length",type:"u32"},{name:"n_reps",type:"u32"}]).declareVariables(...r,...$0)} + ${A.mainStart([z,z,1])} + // x holds the N and y holds the M + let headIdx = workgroup_id.z % uniforms.num_heads; + let kvHeadIdx = ${X===1?"headIdx":"headIdx / uniforms.n_reps"}; + let kv_num_heads = ${X===1?"uniforms.num_heads":"uniforms.num_heads / uniforms.n_reps"}; + let batchIdx = workgroup_id.z / uniforms.num_heads; + let m = workgroup_id.y * TILE_SIZE; + let n = workgroup_id.x * TILE_SIZE; + let sequence_length = uniforms.M; + var total_sequence_length = uniforms.N; + ${Kq(e,V0,!0)} + let absKvHeadIdx = batchIdx * kv_num_heads + kvHeadIdx; + let qOffset = workgroup_id.z * uniforms.M * uniforms.K + m * uniforms.K; + ${W&&L?"let pastKeyOffset = absKvHeadIdx * uniforms.past_sequence_length * uniforms.K;":""}; + let kOffset = absKvHeadIdx * uniforms.kv_sequence_length * uniforms.K; + ${L?"let presentKeyOffset = absKvHeadIdx * uniforms.N * uniforms.K;":""} + var value = ${i}(0); + for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) { + if (global_id.y < uniforms.M && w + local_id.x < uniforms.K) { + tileQ[TILE_SIZE * local_id.y + local_id.x] = q[qOffset + local_id.y * uniforms.K + w + local_id.x]; + } + if (n + local_id.y < uniforms.N && w + local_id.x < uniforms.K) { + var idx = TILE_SIZE * local_id.y + local_id.x; + ${W&&L?` + if (n + local_id.y < past_sequence_length) { + tileK[idx] = past_key[pastKeyOffset + (n + local_id.y) * uniforms.K + w + local_id.x]; + } else if (n + local_id.y - past_sequence_length < uniforms.kv_sequence_length) { + tileK[idx] = key[kOffset + (n + local_id.y - past_sequence_length) * uniforms.K + w + local_id.x]; + }`:` + if (n + local_id.y < uniforms.kv_sequence_length) { + tileK[idx] = key[kOffset + (n + local_id.y) * uniforms.K + w + local_id.x]; + }`} + ${L?`if (n + local_id.y < present_sequence_length) { + present_key[presentKeyOffset + (n + local_id.y) * uniforms.K + w + local_id.x] = tileK[idx]; + }`:""} + } + workgroupBarrier(); + + for (var k: u32 = 0u; k < TILE_SIZE && w+k < uniforms.K; k++) { + value += ${i}(tileQ[TILE_SIZE * local_id.y + k] * tileK[TILE_SIZE * local_id.x + k]); + } + + workgroupBarrier(); + } + + if (global_id.y < uniforms.M && global_id.x < total_sequence_length) { + let headOffset = workgroup_id.z * uniforms.M * uniforms.N; + let outputIdx = headOffset + global_id.y * uniforms.N + global_id.x; + var sum: f32 = ${(()=>{switch(I){case 1:return"value";case 2:return"value.x + value.y";case 4:return"value.x + value.y + value.z + value.w";default:throw Error(`Unsupported components: ${I}`)}})()}; + output[outputIdx] = ${v0.type.value} (sum * uniforms.alpha) + ${Z?"attention_bias[outputIdx]":"0.0"}; + } + }`}}},nU=($,j,O,G,Z,V,N=void 0,J=void 0)=>{let R=V+Z.kvSequenceLength,U=Z.nReps?Z.nReps:1,H=Z.vHiddenSize*U,L=$>1&&G,Y=Z.kvNumHeads?Z.kvNumHeads:Z.numHeads,S=L?[Z.batchSize,Y,R,Z.headSize]:void 0,X=[Z.batchSize,Z.sequenceLength,H],D=12,I={x:Math.ceil(Z.vHeadSize/D),y:Math.ceil(Z.sequenceLength/D),z:Z.batchSize*Z.numHeads},k=[{type:12,data:Z.sequenceLength},{type:12,data:R},{type:12,data:Z.vHeadSize},{type:12,data:Z.numHeads},{type:12,data:Z.headSize},{type:12,data:H},{type:12,data:V},{type:12,data:Z.kvSequenceLength},{type:12,data:U}],z=L&&G&&d0.size(G.dims)>0,w=["type","type"];z&&w.push("type"),N&&w.push("type"),J&&w.push("type");let T=[{dims:X,dataType:j.dataType,gpuDataType:0}];return L&&T.push({dims:S,dataType:j.dataType,gpuDataType:0}),{name:"AttentionScore",shaderCache:{hint:`${G!==void 0};${$}`,inputDependencies:w},getRunData:()=>({outputs:T,dispatchGroup:I,programUniforms:k}),getShaderSource:(W)=>{let E=j5("probs",j.dataType,j.dims),Q=[E,j5("v",O.dataType,O.dims)];z&&Q.push(j5("past_value",G.dataType,G.dims));let A=N?j5("seq_lens",N.dataType,N.dims):void 0;N&&Q.push(A);let l=J?j5("total_sequence_length_input",J.dataType,J.dims):void 0;J&&Q.push(l);let r=[n5("output",j.dataType,X)];return L&&r.push(n5("present_value",j.dataType,S)),` + const TILE_SIZE = 12u; + var tileQ: array<${E.type.value}, 144>; + var tileV: array<${E.type.value}, 144>; + ${W.registerUniforms([{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"v_hidden_size",type:"u32"},{name:"past_sequence_length",type:"u32"},{name:"kv_sequence_length",type:"u32"},{name:"n_reps",type:"u32"}]).declareVariables(...Q,...r)} + ${W.mainStart([D,D,1])} + let headIdx = workgroup_id.z % uniforms.num_heads; + let batchIdx = workgroup_id.z / uniforms.num_heads; + let kvHeadIdx = ${U===1?"headIdx":"headIdx / uniforms.n_reps"}; + let kv_num_heads = ${U===1?"uniforms.num_heads":"uniforms.num_heads / uniforms.n_reps"}; + let m = global_id.y; + let n = global_id.x; + let sequence_length = uniforms.M; + var total_sequence_length = uniforms.K; + ${Kq(A,l,!0)} + let offsetA = workgroup_id.z * uniforms.M * uniforms.K + m * uniforms.K; + let absKvHeadIdx = batchIdx * kv_num_heads + kvHeadIdx; // kvHeadIdx is relative to the batch + ${z&&L?"let pastValueOffset = absKvHeadIdx * uniforms.N * uniforms.past_sequence_length + n;":""}; + let vOffset = absKvHeadIdx * uniforms.N * uniforms.kv_sequence_length + n; + ${L?"let presentValueOffset = absKvHeadIdx * uniforms.N * uniforms.K + n;":""} + var value = ${E.type.storage}(0); + for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) { + if (m < uniforms.M && w + local_id.x < uniforms.K) { + tileQ[TILE_SIZE * local_id.y + local_id.x] = probs[offsetA + w + local_id.x]; + } + if (n < uniforms.N && w + local_id.y < uniforms.K) { + var idx = TILE_SIZE * local_id.y + local_id.x; + ${z&&L?` + if (w + local_id.y < past_sequence_length) { + tileV[idx] = past_value[pastValueOffset + (w + local_id.y) * uniforms.N]; + } else if (w + local_id.y - past_sequence_length < uniforms.kv_sequence_length) { + tileV[idx] = v[vOffset + (w + local_id.y - past_sequence_length) * uniforms.N]; + } + `:` + if (w + local_id.y < uniforms.kv_sequence_length) { + tileV[idx] = v[vOffset + (w + local_id.y) * uniforms.N]; + }`} + ${L?` + if (w + local_id.y < present_sequence_length) { + present_value[presentValueOffset + (w + local_id.y) * uniforms.N] = tileV[idx]; + }`:""} + } + workgroupBarrier(); + for (var k: u32 = 0u; k < TILE_SIZE && w+k < total_sequence_length; k++) { + value += tileQ[TILE_SIZE * local_id.y + k] * tileV[TILE_SIZE * k + local_id.x]; + } + workgroupBarrier(); + } + + // we need to transpose output from BNSH_v to BSND_v + if (m < uniforms.M && n < uniforms.N) { + let outputIdx = batchIdx * uniforms.M * uniforms.v_hidden_size + m * uniforms.v_hidden_size + + headIdx * uniforms.N + n; + output[outputIdx] = value; + } + }`}}},cZ=($,j,O,G,Z,V,N,J,R,U,H=void 0,L=void 0)=>{let Y=Math.min($.outputCount,1+(N?1:0)+(J?1:0)),S=Y>1?U.pastSequenceLength:0,X=S+U.kvSequenceLength,D=R&&d0.size(R.dims)>0?R:void 0,I=[j,O];Y>1&&N&&d0.size(N.dims)>0&&I.push(N),D&&I.push(D),H&&I.push(H),L&&I.push(L);let k=$.compute(rU(Y,j,O,N,D,U,S,H,L),{inputs:I,outputs:Y>1?[-1,1]:[-1]})[0];$.compute(aU(k,U.batchSize,U.numHeads,S,U.sequenceLength,X,H,L),{inputs:H&&L?[k,H,L]:[k],outputs:[]});let z=[k,G];Y>1&&J&&d0.size(J.dims)>0&&z.push(J),H&&z.push(H),L&&z.push(L),$.compute(nU(Y,k,G,J,U,S,H,L),{inputs:z,outputs:Y>1?[0,2]:[0]})},tU=($,j)=>{let O=[j.batchSize,j.numHeads,j.sequenceLength,j.headSize],G=j.sequenceLength,Z=j.inputHiddenSize,V=j.headSize,N=12,J={x:Math.ceil(j.headSize/N),y:Math.ceil(j.sequenceLength/N),z:j.batchSize*j.numHeads},R=[$.inputs[0],$.inputs[1],$.inputs[2]],U=[{type:12,data:G},{type:12,data:Z},{type:12,data:V},{type:12,data:j.numHeads},{type:12,data:j.headSize},{type:12,data:j.hiddenSize},{type:12,data:j.hiddenSize+j.hiddenSize+j.vHiddenSize}];return $.compute({name:"AttentionPrepare",shaderCache:{inputDependencies:["type","type","type"]},getRunData:()=>({outputs:[{dims:O,dataType:$.inputs[0].dataType,gpuDataType:0},{dims:O,dataType:$.inputs[0].dataType,gpuDataType:0},{dims:O,dataType:$.inputs[0].dataType,gpuDataType:0}],dispatchGroup:J,programUniforms:U}),getShaderSource:(H)=>{let L=n5("output_q",R[0].dataType,O),Y=n5("output_k",R[0].dataType,O),S=n5("output_v",R[0].dataType,O),X=j5("input",R[0].dataType,R[0].dims),D=j5("weight",R[1].dataType,R[1].dims),I=j5("bias",R[2].dataType,R[2].dims),k=X.type.storage;return` + const TILE_SIZE = 12u; + var tileInput: array<${k}, 144>; + var tileWeightQ: array<${k}, 144>; + var tileWeightK: array<${k}, 144>; + var tileWeightV: array<${k}, 144>; + ${H.registerUniforms([{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"hidden_size",type:"u32"},{name:"ldb",type:"u32"}]).declareVariables(X,D,I,L,Y,S)} + ${H.mainStart([N,N,1])} + let batchIndex = workgroup_id.z / uniforms.num_heads; + let headNumber = workgroup_id.z % uniforms.num_heads; + let m = global_id.y; + let n = global_id.x; + + let inputOffset = batchIndex * (uniforms.M * uniforms.K) + m * uniforms.K; + let biasOffsetQ = headNumber * uniforms.head_size; + let biasOffsetK = uniforms.hidden_size + biasOffsetQ; + let biasOffsetV = uniforms.hidden_size + biasOffsetK; + + var valueQ = ${k}(0); + var valueK = ${k}(0); + var valueV = ${k}(0); + for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) { + if (m < uniforms.M && w + local_id.x < uniforms.K) { + tileInput[TILE_SIZE * local_id.y + local_id.x] = input[inputOffset + w + local_id.x]; + } + if (n < uniforms.N && w + local_id.y < uniforms.K) { + let offset = n + (w + local_id.y) * uniforms.ldb; + tileWeightQ[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetQ + offset]; + tileWeightK[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetK + offset]; + tileWeightV[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetV + offset]; + } + workgroupBarrier(); + for (var k: u32 = 0u; k{let O=iU($.inputs,j),[G,Z,V]=tU($,O);return cZ($,G,Z,V,$.inputs[4],void 0,void 0,void 0,$.inputs[5],O)}}),iD=k5(()=>{w3(),x6(),I6(),C9(),W6(),eU=($,j)=>{if(!$||$.length!==5)throw Error("BatchNormalization requires 5 inputs");let O=(G,Z,V)=>{let N=Z.length;if(N!==G.length)throw Error(`${V}: num dimensions != ${N}`);Z.forEach((J,R)=>{if(J!==G[R])throw Error(`${V}: dim[${R}] do not match`)})};if($[0].dims.length>1){let G=j.format==="NHWC"?j.spatial?$[0].dims.slice(-1):$[0].dims.slice(-1).concat($[0].dims.slice(1,$[0].dims.length-1)):$[0].dims.slice(1,j.spatial?2:void 0);O($[1].dims,G,"Invalid input scale"),O($[2].dims,G,"Invalid input B"),O($[3].dims,G,"Invalid input mean"),O($[4].dims,G,"Invalid input var")}else O($[1].dims,[1],"Invalid input scale"),O($[2].dims,[1],"Invalid input B"),O($[3].dims,[1],"Invalid input mean"),O($[4].dims,[1],"Invalid input 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${I.indicesSet("outputIndices","0","0")} + let cOffset = ${I.indicesToOffset("outputIndices")};`;else{z=`var cIndices = ${Y.type.indices}(0); + cIndices[0] = outputIndices[${V.length-1}];`;for(let w=1;w({outputs:[{dims:$[0].dims,dataType:$[0].dataType}],dispatchGroup:{x:Math.ceil(R/64)},programUniforms:U?[{type:12,data:R},...$6(V)]:[{type:12,data:R}]})}},jH=($)=>$9($),QX=($,j)=>{let{inputs:O,outputCount:G}=$,Z=jH({...j,outputCount:G});if(X9.webgpu.validateInputContent&&eU(O,Z),j.trainingMode)throw Error("BatchNormalization trainingMode is not supported yet.");$.compute($H(O,Z))}}),aD=k5(()=>{I6(),W6(),OH=($)=>{if($[0].dims.length!==3)throw Error("input should have 3 dimensions");if(![320,640,1280].includes($[0].dims[2]))throw Error("number of channels should be 320, 640 or 1280");if($[1].dims.length!==1)throw Error("bias is expected to have 1 dimensions");if($[0].dims[2]!==$[1].dims[0])throw Error("last dimension of input and bias are not the same")},GH=($)=>{let 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${$.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")} + + let a = ${U.getByOffset("global_idx")}; + ${H.setByOffset("global_idx",R)} + }`},r6=($,j,O,G,Z,V=$.dataType,N,J)=>{let R=[{type:12,data:Math.ceil(d0.size($.dims)/4)}];return N&&R.push(...N),{name:j,shaderCache:{hint:Z,inputDependencies:["type"]},getShaderSource:(U)=>ZH(U,d0.size($.dims),$.dataType,V,O,G,J),getRunData:(U)=>({outputs:[{dims:$.dims,dataType:V}],dispatchGroup:{x:Math.ceil(d0.size(U[0].dims)/64/4)},programUniforms:R})}},BX=($)=>{$.compute(r6($.inputs[0],"Abs","abs"))},hX=($)=>{$.compute(r6($.inputs[0],"Acos","acos"))},cX=($)=>{$.compute(r6($.inputs[0],"Acosh","acosh"))},mX=($)=>{$.compute(r6($.inputs[0],"Asin","asin"))},pX=($)=>{$.compute(r6($.inputs[0],"Asinh","asinh"))},AX=($)=>{$.compute(r6($.inputs[0],"Atan","atan"))},gX=($)=>{$.compute(r6($.inputs[0],"Atanh","atanh"))},uX=($)=>$9($),dX=($,j)=>{let O;switch(j.to){case 10:O="vec4";break;case 1:O="vec4";break;case 12:O="vec4";break;case 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(1.0 - ((((r5 * x + r4) * x + r3) * x + r2) * x + r1) * x * exp(-absv * absv)); +}`,rX=($)=>{let j=z1($.inputs[0].dataType);$.compute(r6($.inputs[0],"Erf",(O)=>`erf_vf32(${O})`,tq(j)))},nX=($)=>{$.compute(r6($.inputs[0],"Exp","exp"))},tX=($)=>{$.compute(r6($.inputs[0],"Floor","floor"))},eX=($)=>{let j=z1($.inputs[0].dataType);$.compute(r6($.inputs[0],"Gelu",(O)=>`0.5 * ${O} * (1.0 + erf_vf32(${O} * 0.7071067811865475))`,tq(j)))},$T=($,j)=>{let O=z1($.inputs[0].dataType);$.compute(r6($.inputs[0],"LeakyRelu",(G)=>`select(leaky_relu_alpha_ * ${G}, ${G}, ${G} >= vec4<${O}>(0.0))`,`const leaky_relu_alpha_ = ${O}(${j.alpha});`,j.cacheKey))},jT=($)=>{$.compute(r6($.inputs[0],"Not",(j)=>`!${j}`))},OT=($)=>{$.compute(r6($.inputs[0],"Neg",(j)=>`-${j}`))},GT=($)=>{$.compute(r6($.inputs[0],"Reciprocal",(j)=>`1.0/${j}`))},ZT=($)=>{let j=z1($.inputs[0].dataType);$.compute(r6($.inputs[0],"Relu",(O)=>`select(vec4<${j}>(0.0), ${O}, ${O} > 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valueLeft = input[inputOffset] + bias[biasIdx]; + let valueRight = input[inputOffset + halfChannels] + bias[biasIdx + halfChannels]; + let geluRight = valueRight * 0.5 * (erf_vf32(valueRight / M_SQRT2) + 1); + + ${Z.setByOffset("global_idx","valueLeft * geluRight")} + }`}},ST=($)=>{JH($.inputs),$.compute(vH($.inputs))}}),nD=k5(()=>{x6(),I6(),W6(),RH=($,j,O,G,Z,V,N,J,R,U,H,L)=>{let Y,S;typeof J=="string"?Y=S=(z,w)=>`${J}((${z}),(${w}))`:typeof J=="function"?Y=S=J:(Y=J.scalar,S=J.vector);let X,D=n5("outputData",H,G.length,4),I=j5("aData",R,j.length,4),k=j5("bData",U,O.length,4);if(Z)if(V){let z=d0.size(j)===1,w=d0.size(O)===1,T=j.length>0&&j[j.length-1]%4==0,W=O.length>0&&O[O.length-1]%4==0;X=z||w?D.setByOffset("global_idx",S(z?`${I.type.value}(${I.getByOffset("0")}.x)`:I.getByOffset("global_idx"),w?`${k.type.value}(${k.getByOffset("0")}.x)`:k.getByOffset("global_idx"))):` + let outputIndices = ${D.offsetToIndices("global_idx * 4u")}; + let offsetA = 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offsetA${T} % 4u; + let componentB${T} = offsetB${T} % 4u; + ${w}[${T}] = ${W}(${Y(E,Q)}); + `};X=H===9?` + var data = vec4(0); + ${z("data",0,"u32")} + ${z("data",1,"u32")} + ${z("data",2,"u32")} + ${z("data",3,"u32")} + outputData[global_idx] = dot(vec4(0x1, 0x100, 0x10000, 0x1000000), vec4(data));`:` + ${z("outputData[global_idx]",0)} + ${z("outputData[global_idx]",1)} + ${z("outputData[global_idx]",2)} + ${z("outputData[global_idx]",3)} + `}return` + ${$.registerUniform("vec_size","u32").declareVariables(I,k,D)} + + ${L??""} + + ${$.mainStart()} + ${$.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")} + ${X} + }`},UH=($,j,O,G,Z,V,N=O.dataType)=>{let J=O.dims.map((D)=>Number(D)??1),R=G.dims.map((D)=>Number(D)??1),U=!d0.areEqual(J,R),H=J,L=d0.size(J),Y=!1,S=!1,X=[U];if(U){let D=zG.calcShape(J,R,!1);if(!D)throw Error("Can't perform binary op on the given tensors");H=D.slice(),L=d0.size(H);let 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${j}(1.0); + } else if (a < ${j}(0.0) && f32(b) != floor(f32(b))) { + return ${j}(pow(f32(a), f32(b))); // NaN + } + return select(sign(a), ${j}(1.0), round(f32(abs(b) % ${j}(2.0))) != 1.0) * ${j}(${j==="i32"?"round":""}(pow(f32(abs(a)), f32(b)))); + } + fn pow_vector_custom(a : vec4<${j}>, b : vec4<${j}>) -> vec4<${j}> { + // TODO: implement vectorized pow + return vec4<${j}>(pow_custom(a.x, b.x), pow_custom(a.y, b.y), pow_custom(a.z, b.z), pow_custom(a.w, b.w)); + } + `)},zT=($)=>{S3($,"Sub",(j,O)=>`${j}-${O}`)},kT=($)=>{S3($,"Greater",{scalar:(j,O)=>`u32(${j}>${O})`,vector:(j,O)=>`vec4(${j}>${O})`},void 0,void 0,9)},IT=($)=>{S3($,"Less",{scalar:(j,O)=>`u32(${j}<${O})`,vector:(j,O)=>`vec4(${j}<${O})`},void 0,void 0,9)},DT=($)=>{S3($,"GreaterOrEqual",{scalar:(j,O)=>`u32(${j}>=${O})`,vector:(j,O)=>`vec4(${j}>=${O})`},void 0,void 0,9)},WT=($)=>{S3($,"LessOrEqual",{scalar:(j,O)=>`u32(${j}<=${O})`,vector:(j,O)=>`vec4(${j}<=${O})`},void 0,void 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r8(j,z),z.push(...$6(I,N,J)),D&&z.push(...$6($[2].dims)),z.push(...$6(k)),{name:"MatMulNaive",shaderCache:{hint:`${j.activation};${L};${Y};${S};${Z}`,inputDependencies:D?["rank","rank","rank"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:V?V(O):O,dataType:$[0].dataType}],dispatchGroup:{x:Math.ceil(X/64)},programUniforms:z}),getShaderSource:(w)=>{let T=Ev("batch_dims",$[0].dataType,I.length),W=j5("a",$[0].dataType,N.length,Y),E=j5("b",$[1].dataType,J.length,L),Q=n5("output",$[0].dataType,k.length,L),A=G1(Q.type.tensor),l=a8(j,Q.type.value,A),r=[W,E],e="";if(D){let v0=Z?L:1;r.push(j5("bias",$[2].dataType,$[2].dims.length,v0)),e=Z?`value += bias[col / ${v0}];`:`value += ${Q.type.value}(bias[row + i]);`}let V0=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"}];return n8(j,V0),` + ${w.registerUniforms(V0).registerInternalVariables(T).declareVariables(...r,Q)} + ${w.mainStart()} + ${w.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let col = (global_idx % (uniforms.N / ${L})) * ${L}; + var index1 = global_idx / (uniforms.N / ${L}); + let stride1 = uniforms.M / ${S}; + let row = (index1 % stride1) * ${S}; + let batch = index1 / stride1; + + ${O.length===2?"":`let batch_indices = ${T.offsetToIndices("batch")};`} + + var a_indices: ${W.type.indices}; + ${CZ("a_indices",W,W.rank-2,T.rank,"batch_indices")} + ${W.indicesSet("a_indices",W.rank-2,0)} + ${W.indicesSet("a_indices",W.rank-1,0)} + let a_offset = ${W.indicesToOffset("a_indices")}; + + var b_indices: ${E.type.indices}; + ${CZ("b_indices",E,E.rank-2,T.rank,"batch_indices")} + ${E.indicesSet("b_indices",E.rank-2,0)} + ${E.indicesSet("b_indices",E.rank-1,0)} + let b_offset = ${E.indicesToOffset("b_indices")}; + var values: array<${Q.type.value}, ${S}>; + for (var k: u32 = 0u; k < uniforms.K; k = k + ${Y}) { + ${(()=>{let v0=`var a_data: ${W.type.value};`;for(let $0=0;$0{x6(),I6(),W6(),O$(),uv(),gv(),YH=($,j)=>$?` + mm_Asub[inputRow][inputCol] = mm_readA(batch, + kStart + inputRow, + globalRowStart / innerElementSize + inputCol${j?", batchIndices":""}); + `:` + mm_Asub[inputRow][inputCol] = mm_readA(batch, + globalRow + innerRow, + kStart / innerElementSize + inputCol${j?", batchIndices":""}); + `,SH=($,j)=>$?` + let ACached0 = mm_Asub[k * innerElementSize][localRow]; + let ACached1 = mm_Asub[k * innerElementSize + 1][localRow]; + let ACached2 = mm_Asub[k * innerElementSize + 2][localRow]; + ${j===3?"":"let ACached3 = mm_Asub[k * innerElementSize + 3][localRow];"} + for (var i = 0; i < rowPerThread; i = i + 1) { + acc[i] = BCached0 * ACached0[i] + acc[i]; + acc[i] = BCached1 * ACached1[i] + acc[i]; + acc[i] = BCached2 * ACached2[i] + acc[i]; + ${j===3?"":"acc[i] = BCached3 * ACached3[i] + acc[i];"} + }`:` + for (var i = 0; i < rowPerThread; i = i + 1) { + let ACached = mm_Asub[tileRow + i][k]; + acc[i] = BCached0 * ACached.x + acc[i]; + acc[i] = BCached1 * ACached.y + acc[i]; + acc[i] = BCached2 * ACached.z + acc[i]; + ${j===3?"":"acc[i] = BCached3 * ACached.w + acc[i];"} + }`,eJ=($,j,O="f32",G,Z=!1,V=32,N=!1,J=32)=>{let R=j[1]*$[1],U=j[0]*$[0],H=Z?R:V,L=Z?V:R,Y=H/j[0],S=V/j[1];if((!Z||Y!==4||$[1]!==4)&&(Z||Y!==3&&Y!==4)||H%j[0]!==0||V%j[1]!==0||$[0]!==4)throw Error(`If transposeA ${Z} is true, innerElementSize ${Y} and workPerThread[1] ${$[1]} must be 4. + Otherwise, innerElementSize ${Y} must be 3 or 4. + tileAWidth ${H} must be divisible by workgroupSize[0]${j[0]}. tileInner ${V} must be divisible by workgroupSize[1] ${j[1]}. colPerThread ${$[0]} must be 4.`);return` +var mm_Asub: array, ${H/Y}>, ${L}>; +var mm_Bsub: array, ${U/$[0]}>, ${V}>; + +const rowPerThread = ${$[1]}; +const colPerThread = ${$[0]}; +const innerElementSize = ${Y}; +const tileInner = ${V}; + +@compute @workgroup_size(${j[0]}, ${j[1]}, ${j[2]}) +fn main(@builtin(local_invocation_id) localId : vec3, + @builtin(global_invocation_id) globalId : vec3, + @builtin(workgroup_id) workgroupId : vec3) { + let localRow = i32(localId.y); + let tileRow = localRow * rowPerThread; + let tileCol = i32(localId.x); + + let globalRow =i32(globalId.y) * rowPerThread; + let globalCol = i32(globalId.x); + let batch = ${N?"0":"i32(globalId.z)"}; + ${G?`let batchIndices = ${G.offsetToIndices("u32(batch)")};`:""} + let globalRowStart = i32(workgroupId.y) * ${R}; + + let num_tiles = ${N?`${Math.ceil(J/V)}`:"(uniforms.dim_inner - 1) / tileInner + 1"}; + var kStart = ${N?`i32(globalId.z) * ${J}`:"0"}; + + var acc: array, rowPerThread>; + + // Loop over shared dimension. + let tileRowB = localRow * ${S}; + for (var t = 0; t < num_tiles; t = t + 1) { + // Load one tile of A into local memory. + for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + let inputRow = tileRow + innerRow; + let inputCol = tileCol; + ${YH(Z,G)} + } + + // Load one tile of B into local memory. + for (var innerRow = 0; innerRow < ${S}; innerRow = innerRow + 1) { + let inputRow = tileRowB + innerRow; + let inputCol = tileCol; + mm_Bsub[inputRow][inputCol] = mm_readB(batch, kStart + inputRow, globalCol${G?", batchIndices":""}); + } + kStart = kStart + tileInner; + workgroupBarrier(); + + // Compute acc values for a single thread. + for (var k = 0; k < tileInner / innerElementSize; k = k + 1) { + let BCached0 = mm_Bsub[k * innerElementSize][tileCol]; + let BCached1 = mm_Bsub[k * innerElementSize + 1][tileCol]; + let BCached2 = mm_Bsub[k * innerElementSize + 2][tileCol]; + ${Y===3?"":"let BCached3 = mm_Bsub[k * innerElementSize + 3][tileCol];"} + + ${SH(Z,Y)} + } + + workgroupBarrier(); + } + + for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + mm_write(batch, globalRow + innerRow, globalCol, acc[innerRow]); + } +}`},JN=($,j)=>$?` + mm_Asub[inputRow][inputCol] = mm_readA(batch, + kStart + inputRow, + globalRowStart + inputCol${j?", batchIndices":""}); + `:` + mm_Asub[inputRow][inputCol] = mm_readA(batch, + globalRowStart + inputRow, + kStart + inputCol${j?", batchIndices":""}); + `,PH=($)=>$?"let ACached = mm_Asub[k][tileRow + innerRow];":"let ACached = mm_Asub[tileRow + innerRow][k];",$v=($,j,O="f32",G,Z=!1,V=32,N=!1,J=32,R=!1)=>{let U=$[1]*j[1],H=$[0]*j[0],L=Z?U:V,Y=Z?V:U;if(Y%j[1]!==0||L%j[0]!==0||V%j[1]!==0)throw Error(`tileAHight ${Y} must be divisible by workgroupSize[1]${j[1]}, tileAWidth ${L} must be divisible by workgroupSize[0]${j[0]}, tileInner ${V} must be divisible by workgroupSize[1]${j[1]}`);let S=Y/j[1],X=L/j[0],D=V/j[1],I=R?` + let localRow = i32(localId.y); + let localCol = i32(localId.x); + let globalRowStart = i32(workgroupId.y) * ${U}; + let globalColStart = i32(workgroupId.x) * ${H}; + + // Loop over shared dimension. + for (var t = 0; t < num_tiles; t = t + 1) { + // Load one tile of A into local memory. + for (var inputRow = localRow; inputRow < ${Y}; inputRow = inputRow + ${j[1]}) { + for (var inputCol = localCol; inputCol < ${L}; inputCol = inputCol + ${j[0]}) { + ${JN(Z,G)} + } + } + // Load one tile of B into local memory. + for (var inputRow = localRow; inputRow < ${V}; inputRow = inputRow + ${j[1]}) { + for (var inputCol = localCol; inputCol < ${H}; inputCol = inputCol + ${j[0]}) { + mm_Bsub[inputRow][inputCol] = mm_readB(batch, + kStart + inputRow, + globalColStart + inputCol${G?", batchIndices":""}); + } + } + kStart = kStart + tileInner; + workgroupBarrier(); + + // Compute acc values for a single thread. + var BCached : array<${O}, colPerThread>; + for (var k = 0; k < tileInner; k = k + 1) { + for (var inner = 0; inner < colPerThread; inner = inner + 1) { + BCached[inner] = mm_Bsub[k][localCol + inner * ${j[0]}]; + } + for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + let ACached = ${Z?`mm_Asub[k][localRow + innerRow * ${j[1]}];`:`mm_Asub[localRow + innerRow * ${j[1]}][k];`} + for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) { + acc[innerRow][innerCol] = acc[innerRow][innerCol] + + ACached * BCached[innerCol]; + } + } + } + workgroupBarrier(); + } + for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + let gRow = globalRowStart + localRow + innerRow * ${j[1]}; + for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) { + let gCol = globalColStart + localCol + innerCol * ${j[0]}; + mm_write(batch, gRow, gCol, acc[innerRow][innerCol]); + } + } + `:` +let tileRow = i32(localId.y) * rowPerThread; +let tileCol = i32(localId.x) * colPerThread; + +let globalRow = i32(globalId.y) * rowPerThread; +let globalCol = i32(globalId.x) * colPerThread; +let globalRowStart = i32(workgroupId.y) * ${U}; + +let tileRowA = i32(localId.y) * ${S}; +let tileColA = i32(localId.x) * ${X}; +let tileRowB = i32(localId.y) * ${D}; +// Loop over shared dimension. +for (var t = 0; t < num_tiles; t = t + 1) { + // Load one tile of A into local memory. + for (var innerRow = 0; innerRow < ${S}; innerRow = innerRow + 1) { + for (var innerCol = 0; innerCol < ${X}; innerCol = innerCol + 1) { + let inputRow = tileRowA + innerRow; + let inputCol = tileColA + innerCol; + ${JN(Z,G)} + } + } + + // Load one tile of B into local memory. + for (var innerRow = 0; innerRow < ${D}; innerRow = innerRow + 1) { + for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) { + let inputRow = tileRowB + innerRow; + let inputCol = tileCol + innerCol; + mm_Bsub[inputRow][inputCol] = mm_readB(batch, + kStart + inputRow, + globalCol + innerCol${G?", batchIndices":""}); + } + } + kStart = kStart + tileInner; + workgroupBarrier(); + + // Compute acc values for a single thread. + var BCached : array<${O}, colPerThread>; + for (var k = 0; k < tileInner; k = k + 1) { + for (var inner = 0; inner < colPerThread; inner = inner + 1) { + BCached[inner] = mm_Bsub[k][tileCol + inner]; + } + + for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + ${PH(Z)} + for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) { + acc[innerRow][innerCol] = acc[innerRow][innerCol] + ACached * BCached[innerCol]; + } + } + } + + workgroupBarrier(); +} + +for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) { + mm_write(batch, globalRow + innerRow, globalCol + innerCol, + acc[innerRow][innerCol]); + } +} +`;return` + var mm_Asub : array, ${Y}>; + var mm_Bsub : array, ${V}>; + const rowPerThread = ${$[1]}; + const colPerThread = ${$[0]}; + const tileInner = ${V}; + +@compute @workgroup_size(${j[0]}, ${j[1]}, ${j[2]}) +fn main(@builtin(local_invocation_id) localId : vec3, + @builtin(global_invocation_id) globalId : vec3, + @builtin(workgroup_id) workgroupId : vec3) { + let batch = ${N?"0":"i32(globalId.z)"}; + ${G?`let batchIndices = ${G.offsetToIndices("u32(batch)")};`:""} + let num_tiles = ${N?`${Math.ceil(J/V)}`:"(uniforms.dim_inner - 1) / tileInner + 1"}; + var kStart = ${N?`i32(globalId.z) * ${J}`:"0"}; + + var acc : array, rowPerThread>; + ${I} + } +`},XH=($,j,O,G,Z=!1)=>{let[V,N,J,R]=G,U=G1(G[0].type.tensor);return` + fn mm_readA(batch: i32, row: i32, colIn: i32, batchIndices: ${V.type.indices}) -> ${I1($,U)} { + var value = ${I1($,U)}(0.0); + let col = colIn * ${$}; + if(row < uniforms.dim_a_outer && col < uniforms.dim_inner) + { + var aIndices: ${N.type.indices}; + ${CZ("aIndices",N,N.rank-2,V.rank,"batchIndices")} + ${N.indicesSet("aIndices",N.rank-2,"u32(row)")} + ${N.indicesSet("aIndices",N.rank-1,"u32(colIn)")} + value = ${N.getByIndices("aIndices")}; + } + return value; + } + + fn mm_readB(batch: i32, row: i32, colIn: i32, batchIndices: ${V.type.indices}) -> ${I1($,U)} { + var value = ${I1($,U)}(0.0); + let col = colIn * ${$}; + if(row < uniforms.dim_inner && col < uniforms.dim_b_outer) + { + var bIndices: ${J.type.indices}; + ${CZ("bIndices",J,J.rank-2,V.rank,"batchIndices")} + ${J.indicesSet("bIndices",J.rank-2,"u32(row)")} + ${J.indicesSet("bIndices",J.rank-1,"u32(colIn)")} + value = ${J.getByIndices("bIndices")}; + } + return value; + } + + fn mm_write(batch: i32, row: i32, colIn: i32, valueIn: ${I1($,U)}) { + let col = colIn * ${$}; + if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer) { + var value = valueIn; + let coords = vec3(batch, row, colIn); + ${j?`value = value + ${Z?"bias[colIn]":`${I1($,U)}(bias[row])`};`:""} + ${O} + ${R.setByIndices("vec3(coords)","value")} + } + } + `},vV=($,j,O,G,Z=!1,V)=>{let N=$[0].dims,J=$[1].dims,R=N.slice(0,-2),U=J.slice(0,-2),H=G?G.slice(0,-2):O.slice(0,-2),L=d0.size(H),Y=N[N.length-2],S=N[N.length-1],X=J[J.length-1],D=S%4==0&&X%4==0,I=Y<=8?[4,1,1]:[4,4,1],k=[8,8,1],z=[Math.ceil(X/k[0]/I[0]),Math.ceil(Y/k[1]/I[1]),Math.ceil(L/k[2]/I[2])],w=D?4:1,T=[...R,Y,S/w],W=T.length,E=[...U,S,X/w],Q=E.length,A=[L,Y,X/w],l=[{type:6,data:Y},{type:6,data:X},{type:6,data:S}];r8(j,l),l.push(...$6(H,T,E));let r=["rank","rank"],e=$.length>2;return e&&(l.push(...$6($[2].dims)),r.push("rank")),l.push(...$6(A)),{name:"MatMul",shaderCache:{hint:`${I};${j.activation};${D};${Z}`,inputDependencies:r},getRunData:()=>({outputs:[{dims:V?V(O):O,dataType:$[0].dataType}],dispatchGroup:{x:z[0],y:z[1],z:z[2]},programUniforms:l}),getShaderSource:(V0)=>{let v0=H.length,$0=Ev("batchDims",$[0].dataType,v0,1),i=G1($[0].dataType),G0=j5("a",$[0].dataType,W,w),S0=j5("b",$[1].dataType,Q,w),F0=n5("result",$[0].dataType,A.length,w),s=[G0,S0];if(e){let Z0=Z?w:1;s.push(j5("bias",$[2].dataType,$[2].dims.length,Z0))}let n=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"}];n8(j,n);let R0=G1(F0.type.tensor),q0=a8(j,F0.type.value,R0),p0=XH(w,e,q0,[$0,G0,S0,F0],Z);return` + ${V0.registerUniforms(n).registerInternalVariables($0).declareVariables(...s,F0)} + ${p0} + ${D?eJ(I,k,i,$0):$v(I,k,i,$0)} + `}}}}),$W=k5(()=>{x6(),k4(),W6(),O$(),gv(),eD(),dv(),TH=($,j,O,G,Z=!1,V,N=4,J=4,R=4,U="f32")=>{let H=(A)=>{switch(A){case 1:return"return w[row * i32(uniforms.w_shape[3]) + colIn];";case 4:return"return w[row * i32(uniforms.w_shape[3]) / 4 + colIn];";default:throw Error(`innerElementSize ${A} is not supported.`)}},L=$?` + let coord = vec4(batch, xRow, xCol, xCh); + `:` + let coord = vec4(batch, xCh, xRow, xCol); + `,Y=$?` + let coords = vec4( + batch, + row / outWidth, + row % outWidth, + col); + `:` + let coords = vec4( + batch, + row, + col / outWidth, + col % outWidth); + `,S=$?"i32(uniforms.x_shape[1])":"i32(uniforms.x_shape[2])",X=$?"i32(uniforms.x_shape[2])":"i32(uniforms.x_shape[3])",D=$?"row":"col",I=$?"col":"row",k=` + let inChannels = i32(uniforms.w_shape[2]); + let outWidth = ${$?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"}; + let outRow = ${D} / outWidth; + let outCol = ${D} % outWidth; + + let WRow = ${I} / (i32(uniforms.w_shape[1]) * inChannels); + let WCol = ${I} / inChannels % i32(uniforms.w_shape[1]); + let xRow = outRow * uniforms.stride[0] + uniforms.dilation[0] * WRow - uniforms.pad[0]; + let xCol = outCol * uniforms.stride[1] + uniforms.dilation[1] * WCol - uniforms.pad[1]; + let xCh = ${I} % inChannels; + var resData = ${I1(N,U)}(0.0); + // The bounds checking is always needed since we use it to pad zero for + // the 'same' padding type. + if (xRow >= 0 && xRow < ${S} && xCol >= 0 && xCol < ${X}) { + ${L} + let xIndex = getIndexFromCoords4D(coord, vec4(uniforms.x_shape)); + ${((A)=>{switch(A){case 1:return"resData = x[xIndex];";case 3:return`resData = vec3<${U}>(x[xIndex], x[xIndex + 1], x[xIndex + 2]);`;case 4:return"resData = x[xIndex / 4];";default:throw Error(`innerElementSize ${A} is not supported.`)}})(N)} + } + return resData;`,z=$?j&&G?` + let col = colIn * ${N}; + ${k}`:` + let col = colIn * ${N}; + if (row < uniforms.dim_a_outer && col < uniforms.dim_inner) { + ${k} + } + return ${I1(N,U)}(0.0);`:G&&O?` + let col = colIn * ${N}; + ${k}`:` + let col = colIn * ${N}; + if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) { + ${k} + } + return ${I1(N,U)}(0.0);`,w=$?G&&O?H(J):` + let col = colIn * ${J}; + if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) { + ${H(J)} + } + return ${I1(J,U)}(0.0);`:` + let col = colIn * ${J}; + if (row < uniforms.dim_inner && col < uniforms.dim_a_outer) { + ${H(J)} + } + return ${I1(J,U)}(0.0);`,T=I1(R,U),W=I1($?N:J,U),E=I1($?J:N,U),Q=a8(V,T,U);return` + fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${W} { + ${$?z:w} + } + + fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${E} { + ${$?w:z} + } + + fn mm_write(batch: i32, row : i32, colIn : i32, valueIn : ${T}) { + let col = colIn * ${R}; + if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer) + { + var value = valueIn; + let outWidth = ${$?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"}; + ${Y} + ${bT(Z)} + ${Q} + setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value); + } + }`},wT=($,j,O,G,Z,V,N,J,R)=>{let U=j.format==="NHWC",H=U?$[0].dims[3]:$[0].dims[1],L=O[0],Y=U?O[2]:O[3],S=U?O[1]:O[2],X=U?O[3]:O[1],D=U&&(H%4==0||H%3==0)&&X%4==0,I=U?X:Y*S,k=U?Y*S:X,z=[8,8,1],w=G<=8?[4,1,1]:[4,4,1],T=[Math.ceil(I/z[0]/w[0]),Math.ceil(k/z[1]/w[1]),Math.ceil(L/z[2]/w[2])];d6("verbose",()=>`[conv2d_mm_webgpu] dispatch = ${T}`);let W=D?U&&H%4!=0?3:4:1,E=z[1]*w[1],Q=z[0]*w[0],A=Math.max(z[0]*W,z[1]),l=G%E===0,r=Z%Q===0,e=V%A===0,V0=D?[W,4,4]:[1,1,1],v0=[{type:6,data:G},{type:6,data:Z},{type:6,data:V},{type:6,data:[j.pads[0],j.pads[1]]},{type:6,data:j.strides},{type:6,data:j.dilations}];r8(j,v0),v0.push(...$6($[0].dims,$[1].dims));let $0=["rank","rank"];return N&&(v0.push(...$6($[2].dims)),$0.push("rank")),v0.push(...$6(O)),{name:"Conv2DMatMul",shaderCache:{hint:`${j.cacheKey};${W};${D};${l};${r};${e};${E};${Q};${A}`,inputDependencies:$0},getRunData:()=>({outputs:[{dims:R?R(O):O,dataType:$[0].dataType}],dispatchGroup:{x:T[0],y:T[1],z:T[2]},programUniforms:v0}),getShaderSource:(i)=>{let G0=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"},{name:"pad",type:"i32",length:2},{name:"stride",type:"i32",length:2},{name:"dilation",type:"i32",length:2}];n8(j,G0);let S0=D?4:1,F0=G1($[0].dataType),s=` + fn setOutputAtIndex(flatIndex : i32, value : ${D?`vec4<${F0}>`:F0}) { + result[flatIndex] = ${D?`vec4<${F0}>`:F0}(value); + } + fn setOutputAtCoords(d0 : i32, d1 : i32, d2 : i32, d3 : i32, value : ${D?`vec4<${F0}>`:F0}) { + let flatIndex = getOutputIndexFromCoords(vec4(d0, d1, d2, d3)); + setOutputAtIndex(flatIndex ${D?"/ 4":""}, value); + }`,n=[j5("x",$[0].dataType,$[0].dims.length,W===3?1:W),j5("w",$[1].dataType,$[1].dims.length,S0)],R0=n5("result",$[0].dataType,O.length,S0);if(N){let q0=j5("bias",$[2].dataType,$[2].dims.length,S0);n.push(q0),s+=` + fn getBiasByOutputCoords(coords : vec4) -> ${D?`vec4<${F0}>`:F0} { + return bias[coords.${U?"w":"y"}${D?"/ 4":""}]; + }`}return` + ${fT("uniforms.result_strides")} + //struct Uniforms { xShape : vec4, wShape : vec4, outShape : vec4, + // outShapeStrides: vec3, filterDims : vec2, pad : vec2, stride : vec2, + // dilation : vec2, dimAOuter : i32, dimBOuter : i32, dimInner : i32 }; + ${i.registerUniforms(G0).declareVariables(...n,R0)} + ${s} + ${TH(U,l,r,e,N,j,V0[0],V0[1],V0[2],F0)} + ${D?eJ(w,z,F0,void 0,!U,A):$v(w,z,F0,void 0,!U,A,!1,void 0,J)}`}}}}),jW=k5(()=>{x6(),k4(),I6(),W6(),O$(),gv(),FH=($)=>{let j=1;for(let O=0;O<$.length;O++)j*=$[O];return j},vN=($)=>typeof $=="number"?[$,$,$]:$,RZ=($,j)=>j<=1?$:$+($-1)*(j-1),yH=($,j,O,G=1)=>{let Z=RZ(j,G);return Math.floor(($[0]*(O-1)-O+Z)/2)},RN=($,j,O,G,Z)=>{Z==null&&(Z=yH($,j[0],G[0]));let V=[0,0,0,O];for(let N=0;N<3;N++)$[N]+2*Z>=j[N]&&(V[N]=Math.trunc(($[N]-j[N]+2*Z)/G[N]+1));return V},zH=($,j,O,G,Z,V,N,J,R,U)=>{let H,L,Y,S;if($==="VALID"&&($=0),typeof $=="number"){H={top:$,bottom:$,left:$,right:$,front:$,back:$};let X=RN([j,O,G,1],[J,R,U],1,[Z,V,N],$);L=X[0],Y=X[1],S=X[2]}else if(Array.isArray($)){if(!$.every((D,I,k)=>D===k[0]))throw Error(`Unsupported padding parameter: ${$}`);H={top:$[0],bottom:$[1],left:$[2],right:$[3],front:$[4],back:$[5]};let X=RN([j,O,G,1],[J,R,U],1,[Z,V,N],$[0]);L=X[0],Y=X[1],S=X[2]}else{if($!=="SAME_UPPER")throw Error(`Unknown padding parameter: ${$}`);{L=Math.ceil(j/Z),Y=Math.ceil(O/V),S=Math.ceil(G/N);let X=(L-1)*Z+J-j,D=(Y-1)*V+R-O,I=(S-1)*N+U-G,k=Math.floor(X/2),z=X-k,w=Math.floor(D/2),T=D-w,W=Math.floor(I/2);H={top:w,bottom:T,left:W,right:I-W,front:k,back:z}}}return{padInfo:H,outDepth:L,outHeight:Y,outWidth:S}},ET=($,j,O,G,Z,V=!1,N="channelsLast")=>{let J,R,U,H,L;if(N==="channelsLast")[J,R,U,H,L]=$;else{if(N!=="channelsFirst")throw Error(`Unknown dataFormat ${N}`);[J,L,R,U,H]=$}let[Y,,S,X,D]=j,[I,k,z]=vN(O),[w,T,W]=vN(G),E=RZ(S,w),Q=RZ(X,T),A=RZ(D,W),{padInfo:l,outDepth:r,outHeight:e,outWidth:V0}=zH(Z,R,U,H,I,k,z,E,Q,A),v0=V?Y*L:Y,$0=[0,0,0,0,0];return N==="channelsFirst"?$0=[J,v0,r,e,V0]:N==="channelsLast"&&($0=[J,r,e,V0,v0]),{batchSize:J,dataFormat:N,inDepth:R,inHeight:U,inWidth:H,inChannels:L,outDepth:r,outHeight:e,outWidth:V0,outChannels:v0,padInfo:l,strideDepth:I,strideHeight:k,strideWidth:z,filterDepth:S,filterHeight:X,filterWidth:D,effectiveFilterDepth:E,effectiveFilterHeight:Q,effectiveFilterWidth:A,dilationDepth:w,dilationHeight:T,dilationWidth:W,inShape:$,outShape:$0,filterShape:j}},QT=($,j,O,G,Z,V)=>{let N=V==="channelsLast";N?$[0].dims[3]:$[0].dims[1];let J={x:O.map((Y,S)=>S)},R=[Math.ceil(FH(J.x.map((Y)=>O[Y]))/64),1,1];d6("verbose",()=>`[conv3d_naive_webgpu] dispatch = ${R}`);let U=[{type:12,data:d0.size(O)},{type:12,data:G},{type:12,data:Z},{type:12,data:j.strides},{type:12,data:j.dilations}];r8(j,U),U.push(...$6($[0].dims,$[1].dims));let H=["rank","rank"],L=$.length===3;return L&&(U.push(...$6($[2].dims)),H.push("rank")),U.push(...$6(O)),{name:"Conv3DNaive",shaderCache:{hint:`${j.cacheKey};${N};1;${L}`,inputDependencies:H},getRunData:()=>({outputs:[{dims:O,dataType:$[0].dataType}],dispatchGroup:{x:R[0],y:R[1],z:R[2]},programUniforms:U}),getShaderSource:(Y)=>{let S=[{name:"output_size",type:"u32"},{name:"filter_dims",type:"u32",length:G.length},{name:"pads",type:"u32",length:Z.length},{name:"strides",type:"u32",length:j.strides.length},{name:"dilations",type:"u32",length:j.dilations.length}];n8(j,S);let X=G1($[0].dataType),D=j5("x",$[0].dataType,$[0].dims.length,1),I=j5("W",$[1].dataType,$[1].dims.length,1),k=[D,I],z=n5("result",$[0].dataType,O.length,1),w="";if(L){let E=j5("bias",$[2].dataType,$[2].dims.length,1);k.push(E),w+=` + fn getBiasByOutputCoords(coords : array) -> ${X} { + return bias[${v6("coords",N?4:1,5)}]; + }`}let T=I1(1,X),W=a8(j,T,X);return` + ${w} + fn getX(d0 : u32, d1 : u32, d2 : u32, d3 : u32, d4 : u32) -> f32 { + let aIndices = array(d0, d1, d2, d3, d4); + return ${D.getByIndices("aIndices")}; + } + fn getW(d0 : u32, d1 : u32, d2 : u32, d3 : u32, d4 : u32) -> f32 { + let aIndices = array(d0, d1, d2, d3, d4); + return ${I.getByIndices("aIndices")}; + } + ${Y.registerUniforms(S).declareVariables(...k,z)} + ${Y.mainStart()} + ${Y.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let coords = ${z.offsetToIndices("global_idx")}; + let batch = ${v6("coords",0,D.rank)}; + let d2 = ${v6("coords",N?D.rank-1:1,D.rank)}; + let xFRCCorner = vec3(${v6("coords",N?1:2,D.rank)}, + ${v6("coords",N?2:3,D.rank)}, + ${v6("coords",N?3:4,D.rank)}) * uniforms.strides - uniforms.pads; + let xFCorner = xFRCCorner.x; + let xRCorner = xFRCCorner.y; + let xCCorner = xFRCCorner.z; + let xShapeY = ${v6("uniforms.x_shape",N?1:2,D.rank)}; + let xShapeZ = ${v6("uniforms.x_shape",N?2:3,D.rank)}; + let xShapeW = ${v6("uniforms.x_shape",N?3:4,D.rank)}; + let xShapeU = ${v6("uniforms.x_shape",N?4:1,D.rank)}; + let inputDepthNearestVec4 = (xShapeU / 4) * 4; + let inputDepthVec4Remainder = xShapeU % 4; + + var value = 0.0; + for (var wF = 0u; wF < uniforms.filter_dims[0]; wF++) { + let xF = xFCorner + wF * uniforms.dilations[0]; + if (xF < 0 || xF >= xShapeY) { + continue; + } + + for (var wR = 0u; wR < uniforms.filter_dims[1]; wR++) { + let xR = xRCorner + wR * uniforms.dilations[1]; + if (xR < 0 || xR >= xShapeZ) { + continue; + } + + for (var wC = 0u; wC < uniforms.filter_dims[2]; wC++) { + let xC = xCCorner + wC * uniforms.dilations[2]; + if (xC < 0 || xC >= xShapeW) { + continue; + } + + for (var d1 = 0u; d1 < inputDepthNearestVec4; d1 += 4) { + ${N?`let xValues = vec4( + getX(batch, xF, xR, xC, d1), + getX(batch, xF, xR, xC, d1 + 1), + getX(batch, xF, xR, xC, d1 + 2), + getX(batch, xF, xR, xC, d1 + 3)); + `:`let xValues = vec4( + getX(batch, d1, xF, xR, xC), + getX(batch, d1 + 1, xF, xR, xC), + getX(batch, d1 + 2, xF, xR, xC), + getX(batch, d1 + 3, xF, xR, xC)); + `} + let wValues = vec4( + getW(d2, d1, wF, wR, wC), + getW(d2, d1 + 1, wF, wR, wC), + getW(d2, d1 + 2, wF, wR, wC), + getW(d2, d1 + 3, wF, wR, wC)); + value += dot(xValues, wValues); + } + if (inputDepthVec4Remainder == 1) { + ${N?`value += getX(batch, xF, xR, xC, inputDepthNearestVec4) + * getW(d2, inputDepthNearestVec4, wF, wR, wC);`:`value += getX(batch, inputDepthNearestVec4, xF, xR, xC) + * getW(d2, inputDepthNearestVec4, wF, wR, wC);`} + } else if (inputDepthVec4Remainder == 2) { + ${N?`let xValues = vec2( + getX(batch, xF, xR, xC, inputDepthNearestVec4), + getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1)); + `:`let xValues = vec2( + getX(batch, inputDepthNearestVec4, xF, xR, xC), + getX(batch, inputDepthNearestVec4 + 1, xF, xR, xC)); + `} + let wValues = vec2( + getW(d2, inputDepthNearestVec4, wF, wR, wC), + getW(d2, inputDepthNearestVec4 + 1, wF, wR, wC)); + value += dot(xValues, wValues); + } else if (inputDepthVec4Remainder == 3) { + ${N?`let xValues = vec3( + getX(batch, xF, xR, xC, inputDepthNearestVec4), + getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1), + getX(batch, xF, xR, xC, inputDepthNearestVec4 + 2)); + `:`let xValues = vec3( + getX(batch, inputDepthNearestVec4, xF, xR, xC), + getX(batch, inputDepthNearestVec4 + 1, xF, xR, xC), + getX(batch, inputDepthNearestVec4 + 2, xF, xR, xC)); + `} + let wValues = vec3( + getW(d2, inputDepthNearestVec4, wF, wR, wC), + getW(d2, inputDepthNearestVec4 + 1, wF, wR, wC), + getW(d2, inputDepthNearestVec4 + 2, wF, wR, wC)); + value += dot(xValues, wValues); + } + } + } + } + ${L?"value = value + getBiasByOutputCoords(coords)":""}; + ${W} + result[global_idx] = f32(value); + }`}}}}),OW=k5(()=>{x6(),I6(),W6(),O$(),CT=($,j,O,G)=>{let Z=$.length>2,V=Z?"value += b[output_channel];":"",N=$[0].dims,J=$[1].dims,R=j.format==="NHWC",U=R?O[3]:O[1],H=U/j.group,L=R&&H>=4?M9(U):1,Y=d0.size(O)/L,S=[{type:12,data:Y},{type:12,data:j.dilations},{type:12,data:[j.strides[0],j.strides[1]]},{type:12,data:[j.pads[0],j.pads[1]]},{type:12,data:H}];r8(j,S),S.push(...$6(N,[J[0],J[1],J[2],J[3]/L]));let X=Z?["rank","rank","rank"]:["rank","rank"];return S.push(...$6([O[0],O[1],O[2],O[3]/L])),{name:"GroupedConv",shaderCache:{hint:`${j.cacheKey}_${L}`,inputDependencies:X},getRunData:()=>({outputs:[{dims:G?G(O):O,dataType:$[0].dataType}],dispatchGroup:{x:Math.ceil(Y/64)},programUniforms:S}),getShaderSource:(D)=>{let I=n5("output",$[0].dataType,O.length,L),k=G1(I.type.tensor),z=a8(j,I.type.value,k),w=j5("x",$[0].dataType,N.length),T=j5("w",$[1].dataType,J.length,L),W=[w,T];Z&&W.push(j5("b",$[2].dataType,$[2].dims,L));let E=[{name:"output_size",type:"u32"},{name:"dilations",type:"u32",length:j.dilations.length},{name:"strides",type:"u32",length:2},{name:"pads",type:"u32",length:2},{name:"output_channels_per_group",type:"u32"}];n8(j,E);let Q=R?` + for (var wHeight: u32 = 0u; wHeight < uniforms.w_shape[0]; wHeight++) { + let xHeight = xRCCorner.x + wHeight * uniforms.dilations[0]; + + if (xHeight < 0u || xHeight >= uniforms.x_shape[1]) { + continue; + } + + for (var wWidth: u32 = 0u; wWidth < uniforms.w_shape[1]; wWidth++) { + let xWidth = xRCCorner.y + wWidth * uniforms.dilations[1]; + if (xWidth < 0u || xWidth >= uniforms.x_shape[2]) { + continue; + } + + for (var wInChannel: u32 = 0u; wInChannel < uniforms.w_shape[2]; wInChannel++) { + let input_channel = in_channel_offset + wInChannel; + let xVal = ${w.get("batch","xHeight","xWidth","input_channel")}; + let wVal = ${T.get("wHeight","wWidth","wInChannel","output_channel")}; + value += xVal * wVal; + } + } + } + `:` + for (var wInChannel: u32 = 0u; wInChannel < uniforms.w_shape[1]; wInChannel++) { + let input_channel = in_channel_offset + wInChannel; + for (var wHeight: u32 = 0u; wHeight < uniforms.w_shape[2]; wHeight++) { + let xHeight = xRCCorner.x + wHeight * uniforms.dilations[0]; + + if (xHeight < 0u || xHeight >= uniforms.x_shape[2]) { + continue; + } + + for (var wWidth: u32 = 0u; wWidth < uniforms.w_shape[3]; wWidth++) { + let xWidth = xRCCorner.y + wWidth * uniforms.dilations[1]; + if (xWidth < 0u || xWidth >= uniforms.x_shape[3]) { + continue; + } + + let xVal = ${w.get("batch","input_channel","xHeight","xWidth")}; + let wVal = ${T.get("output_channel","wInChannel","wHeight","wWidth")}; + value += xVal * wVal; + } + } + } + `;return` + ${D.registerUniforms(E).declareVariables(...W,I)} + + ${D.mainStart()} + ${D.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + + let outputIndices = ${I.offsetToIndices("global_idx")}; + let batch: u32 = outputIndices[0]; + let output_channel: u32 = outputIndices[${R?3:1}]; + let xRCCorner: vec2 = vec2(outputIndices[${R?1:2}], outputIndices[${R?2:3}]) * uniforms.strides - uniforms.pads; + let group_id: u32 = output_channel * ${L} / uniforms.output_channels_per_group; + var in_channel_offset = group_id * uniforms.w_shape[${R?2:1}]; + + var value: ${I.type.value} = ${I.type.value}(0); + ${Q} + ${V} + ${z} + ${I.setByOffset("global_idx","value")} + }`}}},BT=($,j,O,G)=>{let Z=$.length>2,V=M9(O[3]),N=M9(O[2]),J=d0.size(O)/V/N,R=[$[0].dims[0],$[0].dims[1],$[0].dims[2],$[0].dims[3]/V],U=[$[1].dims[0],$[1].dims[1],$[1].dims[2],$[1].dims[3]/V],H=[O[0],O[1],O[2],O[3]/V],L=[{type:12,data:J},{type:6,data:[j.strides[0],j.strides[1]]},{type:6,data:[j.pads[0],j.pads[1]]}];r8(j,L),L.push(...$6(R,U,H));let Y=(N-1)*j.strides[1]+U[1];return{name:"GroupedConv-Vectorize",shaderCache:{hint:`${j.cacheKey};${V};${N};${Y};${U[0]};${U[1]}`,inputDependencies:Z?["rank","rank","type"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:G?G(O):O,dataType:$[0].dataType}],dispatchGroup:{x:Math.ceil(J/64)},programUniforms:L}),getShaderSource:(S)=>{let X=n5("output",$[0].dataType,H.length,V),D=G1(X.type.tensor),I=a8(j,X.type.value,D),k=j5("x",$[0].dataType,R.length,V),z=j5("w",$[1].dataType,U.length,V),w=[k,z];Z&&w.push(j5("b",$[2].dataType,$[2].dims,V));let T=Z?"value += b[output_channel];":"",W=[{name:"output_size",type:"u32"},{name:"strides",type:"i32",length:2},{name:"pads",type:"i32",length:2}];return n8(j,W),` + ${S.registerUniforms(W).declareVariables(...w,X)} + ${S.mainStart()} + ${S.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let width0 = uniforms.output_shape[3]; + let output_channel = global_idx % width0; + var index1 = global_idx / width0; + let width1 = uniforms.output_shape[2] / ${N}u; + let col = (index1 % width1) * ${N}u; + index1 = index1 / width1; + let row = index1 % uniforms.output_shape[1]; + let batch = index1 / uniforms.output_shape[1]; + + let x_corner = vec2(i32(row), i32(col)) * uniforms.strides - uniforms.pads; + + var x_vals: array<${k.type.value}, ${Y}>; + var values: array<${X.type.value}, ${N}>; + let input_channel = output_channel; + // Use constant instead of uniform can give better performance for w's height/width. + for (var w_height: u32 = 0u; w_height < ${U[0]}; w_height++) { + let x_height = x_corner.x + i32(w_height); + if (x_height >= 0 && u32(x_height) < uniforms.x_shape[1]) { + for (var i = 0; i < ${Y}; i++) { + let x_width = x_corner.y + i; + if (x_width >= 0 && u32(x_width) < uniforms.x_shape[2]) { + x_vals[i] = ${k.get("batch","u32(x_height)","u32(x_width)","input_channel")}; + } else { + x_vals[i] = ${k.type.value}(0); + } + } + for (var w_width: u32 = 0u; w_width < ${U[1]}; w_width++) { + let w_val = ${z.get("w_height","w_width","0","output_channel")}; + for (var i = 0u; i < ${N}u; i++) { + values[i] = fma(x_vals[i * u32(uniforms.strides[1]) + w_width], w_val, values[i]); + } + } + } + } + + for (var i = 0u; i < ${N}u; i++) { + var value = values[i]; + ${T} + ${I} + ${X.set("batch","row","col + i","output_channel","value")}; + } + }`}}}}),GW=k5(()=>{I6(),$W(),jW(),dv(),OW(),O$(),uv(),J7(),kH=($,j,O,G,Z,V)=>{let N=$[0],J=$.slice(V?1:2,V?3:4),R=J.length,U=j[0],H=j.slice(2).map((Y,S)=>Y+(Y-1)*(O[S]-1)),L=J.map((Y,S)=>Y+G[S]+G[S+R]).map((Y,S)=>Math.floor((Y-H[S]+Z[S])/Z[S]));return L.splice(0,0,N),L.splice(V?3:1,0,U),L},bq=[2,3,1,0],IH=($,j)=>{if(!$||$.length!==2&&$.length!==3)throw Error("Conv requires 2 or 3 inputs");if($[0].dims.length>5)throw Error("greater than 5D is not supported");if($[0].dims.length!==$[1].dims.length)throw Error("filter does not have same dimension as input");if($[0].dims[j.format==="NHWC"?$[0].dims.length-1:1]!==$[1].dims[1]*j.group)throw 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dyCorner.x; + let dyCCorner = dyCorner.y; + let groupId = d1 / uniforms.output_channels_per_group; + let wOutChannel = d1 - groupId * uniforms.output_channels_per_group; + // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1). + // ? = to be determined. : = across all values in that axis. + var dotProd = ${F0.type.value}(0.0); + var wR: u32 = 0; + if (uniforms.dilations.x == 1) { + // Minimum wR >= 0 that satisfies (dyRCorner + wR) % (uniforms.strides.x) == 0 + wR = u32(((dyRCorner + i32(uniforms.strides.x) - 1) / i32(uniforms.strides.x)) * i32(uniforms.strides.x) - dyRCorner); + } + for (; wR < uniforms.effective_filter_dims.x; wR = wR + 1) { + if (wR % uniforms.dilations.x != 0) { + continue; + } + let dyR = (${e}(dyRCorner) + ${e}(wR)) / ${e}(uniforms.strides[0]); + let wRPerm = uniforms.filter_dims.x - 1 - wR / uniforms.dilations.x; + if (dyR < 0.0 || dyR >= ${e}(uniforms.Dy_shape[${V0}]) || fract(dyR) > 0.0 || + wRPerm < 0) { + continue; + } + let idyR: u32 = u32(dyR); + var wC: u32 = 0; + if (uniforms.dilations.y == 1) { + // Minimum wC >= 0 that satisfies (dyCCorner + wC) % (uniforms.strides.y) == 0 + wC = u32(((dyCCorner + i32(uniforms.strides.y) - 1) / i32(uniforms.strides.y)) * i32(uniforms.strides.y) - dyCCorner); + } + for (; wC < uniforms.effective_filter_dims.y; wC = wC + 1) { + if (wC % uniforms.dilations.y != 0) { + continue; + } + let dyC = (${e}(dyCCorner) + ${e}(wC)) / ${e}(uniforms.strides.y); + let wCPerm = uniforms.filter_dims.y - 1 - wC / uniforms.dilations.y; + if (dyC < 0.0 || dyC >= ${e}(uniforms.Dy_shape[${v0}]) || + fract(dyC) > 0.0 || wCPerm < 0) { + continue; + } + let idyC: u32 = u32(dyC); + var inputChannel = groupId * uniforms.input_channels_per_group; + ${L?` + var x_offset = ${G0.indicesToOffset(`${G0.type.indices}(batch, idyR, idyC, inputChannel)`)} / ${H}; + var w_offset = ${i.indicesToOffset(`${i.type.indices}(wRPerm, wCPerm, inputChannel, wOutChannel)`)} / ${D}; + `:""} + for (var d2: u32 = 0; d2 < uniforms.input_channels_per_group_int; d2 = d2 + ${L?4:H}) { + ${(()=>{let n="";if(L)H===4?n+=` + let xValue = ${G0.getByOffset("x_offset")}; + let wValue = ${i.getByOffset("w_offset")}; + dotProd = dotProd + dot(xValue, wValue); + x_offset += 1u; + w_offset += 1u;`:H===2?n+=` + dotProd = dotProd + dot(vec4<${e}>(${G0.getByOffset("x_offset")}, ${G0.getByOffset("x_offset + 1u")}), vec4<${e}>(${i.getByOffset("w_offset")}, ${i.getByOffset("w_offset + 1u")})); + x_offset += 2u; + w_offset += 2u;`:H===1&&(n+=` + dotProd = dotProd + dot(vec4<${e}>(${G0.getByOffset("x_offset")}, ${G0.getByOffset("x_offset + 1u")}, ${G0.getByOffset("x_offset + 2u")}, ${G0.getByOffset("x_offset + 3u")}), vec4<${e}>(${i.getByOffset("w_offset")}, ${i.getByOffset("w_offset + 1u")}, ${i.getByOffset("w_offset + 2u")}, ${i.getByOffset("w_offset + 3u")})); + x_offset += 4u; + w_offset += 4u;`);else if(n+=` + let xValue = ${V?G0.getByOffset(`${G0.indicesToOffset(`${G0.type.indices}(batch, idyR, idyC, inputChannel)`)} / 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${N.indicesSet("inputIndices","uniforms.axis","u32(i)")}; + sum = sum + ${N.getByIndices("inputIndices")}; + } + ${J.setByOffset("global_idx","sum")}; + }`}}},pT=($,j)=>{let O=$.inputs[0].dims,G=$.inputs[0].dataType,Z=$.inputs[1];$.compute(EH(G,O,Z,j),{inputs:[0]})},AT=($)=>{let j=$.exclusive===1,O=$.reverse===1;return $9({exclusive:j,reverse:O})}}),NW=k5(()=>{x6(),I6(),C9(),W6(),QH=($)=>{if(!$||$.length!==1)throw Error("DepthToSpace requires 1 input.");if($[0].dims.length!==4)throw Error("DepthToSpace requires 4D input.")},CH=($,j,O,G)=>{let Z=[];Z.push(`fn perm(i: ${G.type.indices}) -> ${O.type.indices} { + var a: ${O.type.indices};`);for(let V=0;V{let O,G,Z,V,N,J,R=j.format==="NHWC",U=j.blocksize,H=j.mode==="DCR";R?([O,G,Z,V]=$.dims,N=H?[O,G,Z,U,U,V/U**2]:[O,G,Z,V/U**2,U,U],J=H?[0,1,3,2,4,5]:[0,1,4,2,5,3]):([O,G,Z,V]=[$.dims[0],$.dims[2],$.dims[3],$.dims[1]],N=H?[O,U,U,V/U**2,G,Z]:[O,V/U**2,U,U,G,Z],J=H?[0,3,4,1,5,2]:[0,1,4,2,5,3]);let 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${S.indicesToOffset("data_indices")}; + let data_index = data_offset % 8; + // Convert 4-bit packed data to 8-bit packed data. + let packed_4bit_quantized_data = ${S.getByOffset("data_offset / 8")}; + let packed_8bit_quantized_data = (packed_4bit_quantized_data >> (4 * (data_index % 2))) & 0x0f0f0f0f; + let quantized_data_vec = ${H?"unpack4xI8":"unpack4xU8"}(u32(packed_8bit_quantized_data)); + let quantized_data = quantized_data_vec[data_index / 2]; + var scale_indices = data_indices; + let quantize_axis_index = ${D.indicesGet("data_indices","uniforms.quantize_axis")} / uniforms.block_size; + ${D.indicesSet("scale_indices","uniforms.quantize_axis","quantize_axis_index")}; + var scale = ${D.getByIndices("scale_indices")}; + ${I?` + let zero_point_indices = scale_indices; + let zero_point_offset = ${I.indicesToOffset("zero_point_indices")}; + let zero_point_index = zero_point_offset % 8; + let packed_4bit_zero_points = ${I.getByOffset("zero_point_offset / 8")}; + let packed_8bit_zero_points = (packed_4bit_zero_points >> (4 * (zero_point_index % 2))) & 0x0f0f0f0f; + let zero_point_vec = ${H?"unpack4xI8":"unpack4xU8"}(u32(packed_8bit_zero_points)); + let zero_point = zero_point_vec[zero_point_index / 2];`:"var zero_point = 0"}; + let dequantized_data = ${z1(U)}(quantized_data - zero_point) * scale; + ${k.setByOffset("global_idx","dequantized_data")}; + }`}}},tT=($,j)=>{let O=$.inputs;iH(O,j),$.compute(aH($.inputs,j))},eT=($)=>$9({blockSize:$.blockSize,gatherAxis:$.gatherAxis,quantizeAxis:$.quantizeAxis})}),LW=k5(()=>{x6(),I6(),C9(),W6(),rH=($)=>{if(!$||$.length!==2)throw Error("GatherElements requires 2 inputs.");if($[0].dims.length<1)throw Error("GatherElements requires that the data input be rank >= 1.");if($[0].dims.length!==$[1].dims.length)throw Error(`GatherElements requires that the data input and + indices input tensors be of same rank.`)},nH=($,j)=>{let O=$[0].dims,G=$[0].dataType,Z=O.length,V=$[1].dims,N=$[1].dataType,J=d0.normalizeAxis(j.axis,Z),R=O[J],U=V.slice(0),H=d0.size(U),L=j5("input",G,Z),Y=j5("indicesInput",N,V.length),S=n5("output",G,U.length),X=[{type:12,data:H},{type:6,data:R},{type:12,data:J}];return X.push(...$6(O,V,U)),{name:"GatherElements",shaderCache:{inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:U,dataType:$[0].dataType}],dispatchGroup:{x:Math.ceil(H/64)},programUniforms:X}),getShaderSource:(D)=>` + ${D.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(L,Y,S)} + ${D.mainStart()} + ${D.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + + let outputIndices = ${S.offsetToIndices("global_idx")}; + + var idx = ${Y.getByOffset("global_idx")}; + if (idx < 0) { + idx = idx + uniforms.axisDimLimit; + } + var inputIndices = ${L.type.indices}(outputIndices); + ${L.indicesSet("inputIndices","uniforms.axis","u32(idx)")}; + let value = ${L.getByIndices("inputIndices")}; + + ${S.setByOffset("global_idx","value")}; + }`}},$F=($)=>$9({axis:$.axis}),jF=($,j)=>{let O=$.inputs;rH(O),$.compute(nH($.inputs,j))}}),_W=k5(()=>{x6(),I6(),W6(),tH=($)=>{if(!$)throw Error("Input is missing");if($.length<2||$.length>3)throw Error("Invaid input number.");if($.length===3&&$[2].dims.length>2)throw Error("Invalid input shape of C");if($[0].dataType!==$[1].dataType||$.length===3&&$[0].dataType!==$[2].dataType)throw Error("Input types are mismatched")},eH=($,j)=>{let O=$[0].dims.slice(),G=$[1].dims.slice(),[Z,V,N]=jX.getShapeOfGemmResult(O,j.transA,G,j.transB,$.length===3?$[2].dims:void 0),J=[Z,V];if(!J)throw Error("Can't use gemm on the given tensors");let R=16,U=Math.ceil(V/R),H=Math.ceil(Z/R),L=(d0.size(J),[{type:12,data:U},{type:12,data:Z},{type:12,data:V},{type:12,data:N},{type:1,data:j.alpha},{type:1,data:j.beta}]),Y=["type","type"];return $.length===3&&(L.push(...$6($[2].dims)),Y.push("rank")),L.push(...$6(J)),{name:"GemmShared",shaderCache:{hint:`${j.cacheKey}`,inputDependencies:Y},getRunData:()=>({outputs:[{dims:J,dataType:$[0].dataType}],dispatchGroup:{x:U*H},programUniforms:L}),getShaderSource:(S)=>{let X=j5("a",$[0].dataType,$[0].dims),D=j5("b",$[1].dataType,$[1].dims),I=null,k=[X,D];$.length===3&&(I=j5("c",$[2].dataType,$[2].dims.length),k.push(I));let z=n5("output",$[0].dataType,J.length);k.push(z);let w="",T="";j.transA&&j.transB?(T=` + var col = tile_row_start + local_id.x; + var row = k_start + local_id.y; + if (col < uniforms.M && row < uniforms.K) { + tile_a[local_id.y][local_id.x] = a[row * uniforms.M + col]; + } else { + tile_a[local_id.y][local_id.x] = ${X.type.value}(0); + } + + col = k_start + local_id.x; + row = tile_col_start + local_id.y; + if (col < uniforms.K && row < uniforms.N) { + tile_b[local_id.y][local_id.x] = b[row * uniforms.K + col]; + } else { + tile_b[local_id.y][local_id.x] = ${D.type.value}(0); + } + `,w="value += tile_a[k][local_id.y] * tile_b[local_id.x][k];"):j.transA&&!j.transB?(T=` + var col = tile_row_start + local_id.x; + var row = k_start + local_id.y; + if (col < uniforms.M && row < uniforms.K) { + tile_a[local_id.y][local_id.x] = a[row * uniforms.M + col]; + } else { + tile_a[local_id.y][local_id.x] = ${X.type.value}(0); + } + + col = tile_col_start + local_id.x; + row = k_start + local_id.y; + if (col < uniforms.N && row < uniforms.K) { + tile_b[local_id.y][local_id.x] = b[row * uniforms.N + col]; + } else { + tile_b[local_id.y][local_id.x] = ${D.type.value}(0); + } + `,w="value += tile_a[k][local_id.y] * tile_b[k][local_id.x];"):!j.transA&&j.transB?(T=` + var col = k_start + local_id.x; + var row = tile_row_start + local_id.y; + if (col < uniforms.K && row < uniforms.M) { + tile_a[local_id.y][local_id.x] = a[row * uniforms.K + col]; + } else { + tile_a[local_id.y][local_id.x] = ${X.type.value}(0); + } + + col = k_start + local_id.x; + row = tile_col_start + local_id.y; + if (col < uniforms.K && row < uniforms.N) { + tile_b[local_id.y][local_id.x] = b[row * uniforms.K + col]; + } else { + tile_b[local_id.y][local_id.x] = ${D.type.value}(0); + } + `,w="value += tile_a[local_id.y][k] * tile_b[local_id.x][k];"):!j.transA&&!j.transB&&(T=` + var col = k_start + local_id.x; + var row = tile_row_start + local_id.y; + if (col < uniforms.K && row < uniforms.M) { + tile_a[local_id.y][local_id.x] = a[row * uniforms.K + col]; + } else { + tile_a[local_id.y][local_id.x] = ${X.type.value}(0); + } + + col = tile_col_start + local_id.x; + row = k_start + local_id.y; + if (col < uniforms.N && row < uniforms.K) { + tile_b[local_id.y][local_id.x] = b[row * uniforms.N + col]; + } else { + tile_b[local_id.y][local_id.x] = ${D.type.value}(0); + } + `,w="value += tile_a[local_id.y][k] * tile_b[k][local_id.x];");let W=j.alpha===1?"":"value *= uniforms.alpha;";return` + ${S.registerUniforms([{name:"num_tile_n",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"},{name:"alpha",type:"f32"},{name:"beta",type:"f32"}]).declareVariables(...k)} + var tile_a: array, 16>; + var tile_b: array, 16>; + ${S.mainStart([R,R,1])} + let tile_col_start = (workgroup_index % uniforms.num_tile_n) * 16; + let tile_row_start = (workgroup_index / uniforms.num_tile_n) * 16; + let num_tiles = (uniforms.K - 1) / 16 + 1; + var k_start = 0u; + var value = ${z.type.value}(0); + for (var t: u32 = 0u; t < num_tiles; t++) { + ${T} + k_start = k_start + 16; + workgroupBarrier(); + + for (var k: u32 = 0u; k < 16; k++) { + ${w} + } + workgroupBarrier(); + } + + ${W} + let m = tile_row_start + local_id.y; + let n = tile_col_start + local_id.x; + ${I!=null?`let cOffset = ${I.broadcastedIndicesToOffset("vec2(m, n)",z)}; value += ${z.type.value}(uniforms.beta) * ${I.getByOffset("cOffset")};`:""} + if (m < uniforms.M && n < uniforms.N) { + output[m * uniforms.N + n] = value; + } + }`}}},OF=($)=>({transA:$.transA,transB:$.transB,alpha:$.alpha,beta:$.beta,cacheKey:`${$.transA};${$.transB};${$.alpha===1}`}),GF=($,j)=>{tH($.inputs),$.compute(eH($.inputs,j))}}),YW=k5(()=>{x6(),I6(),C9(),W6(),[j4,T4,Q8,C8]=[0,1,2,3],$x=($)=>{if($[0].dims.length!==4)throw Error("only 4-D tensor is supported.");if($[0].dims.length!==$[1].dims.length)throw Error("input dimensions must be equal to grid dimensions");if($[0].dims.length-2!==$[1].dims[$[1].dims.length-1])throw Error("last dimension of grid must be equal to "+($[0].dims.length-2));if($[0].dims[0]!==$[1].dims[0])throw Error("grid batch size must match input batch size")},jx=($)=>` + fn gs_bicubic_interpolate(p: mat4x4<${$}>, x: f32, y: f32) -> ${$} { + var v: vec4; + var coeffs = gs_get_cubic_coeffs(x); + for (var i = 0; i < 4; i++) { + v[i] = coeffs[0] * p[i][0] + coeffs[1] * p[i][1] + coeffs[2] * p[i][2] + coeffs[3] * p[i][3]; + } + coeffs = gs_get_cubic_coeffs(y); + let pixel = ${$}(coeffs[0] * v[0] + coeffs[1] * v[1] + coeffs[2] * v[2] + coeffs[3] * v[3]); + return pixel; + } +`,Ox=($)=>` + fn gs_denormalize(n: f32, length: i32) -> f32 { + ${$.alignCorners===0?` + // alignCorners: false => [-1, 1] to [-0.5, length - 0.5] + return ((n + 1.0) * f32(length) - 1.0) / 2.0; + `:` + // alignCorners: true => [-1, 1] to [0, length - 1] + return (n + 1.0) / 2.0 * (f32(length - 1)); + `} + } +`,Gx=($)=>` + ${$.paddingMode==="reflection"?` + fn gs_reflect(x: i32, x_min: f32, x_max: f32) -> u32 { + var dx = 0.0; + var fx = f32(x); + let range = x_max - x_min; + if (fx < x_min) { + dx = x_min - fx; + let n = u32(dx / range); + let r = dx - f32(n) * range; + if (n % 2 == 0) { + fx = x_min + r; + } else { + fx = x_max - r; + } + } else if (fx > x_max) { + dx = fx - x_max; + let n = u32(dx / range); + let r = dx - f32(n) * range; + if (n % 2 == 0) { + fx = x_max - r; + } else { + fx = x_min + r; + } + } + return u32(fx); + }`:""} +`,Zx=($,j,O)=>` + fn pixel_at_grid(r: i32, c: i32, H: i32, W: i32, batch: u32, channel: u32, border: vec4) -> ${j} { + var pixel = ${j}(0); + var indices = vec4(0); + indices[${j4}] = batch; + indices[${T4}] = channel;`+(()=>{switch(O.paddingMode){case"zeros":return` + if (r >= 0 && r < H && c >=0 && c < W) { + indices[${Q8}] = u32(r); + indices[${C8}] = u32(c); + } else { + return ${j}(0); + } + `;case"border":return` + indices[${Q8}] = u32(clamp(r, 0, H - 1)); + indices[${C8}] = u32(clamp(c, 0, W - 1)); + `;case"reflection":return` + indices[${Q8}] = gs_reflect(r, border[1], border[3]); + indices[${C8}] = gs_reflect(c, border[0], border[2]); + `;default:throw Error(`padding mode ${O.paddingMode} is not supported`)}})()+` + return ${$.getByIndices("indices")}; + } +`,qx=($,j,O)=>(()=>{switch(O.mode){case"nearest":return` + let result = pixel_at_grid(i32(round(y)), i32(round(x)), H_in, W_in, indices[${j4}], indices[${T4}], border); + `;case"bilinear":return` + let x1 = i32(floor(x)); + let y1 = i32(floor(y)); + let x2 = x1 + 1; + let y2 = y1 + 1; + + let p11 = pixel_at_grid(y1, x1, H_in, W_in, indices[${j4}], indices[${T4}], border); + let p12 = pixel_at_grid(y1, x2, H_in, W_in, indices[${j4}], indices[${T4}], border); + let p21 = pixel_at_grid(y2, x1, H_in, W_in, indices[${j4}], indices[${T4}], border); + let p22 = pixel_at_grid(y2, x2, H_in, W_in, indices[${j4}], indices[${T4}], border); + + let dx2 = ${j}(f32(x2) - x); + let dx1 = ${j}(x - f32(x1)); + let dy2 = ${j}(f32(y2) - y); + let dy1 = ${j}(y - f32(y1)); + let result = dy2 * (dx2 * p11 + dx1 * p12) + dy1 * (dx2 * p21 + dx1 * p22); + `;case"bicubic":return` + let x0 = i32(floor(x)) - 1; + let y0 = i32(floor(y)) - 1; + var p: mat4x4<${j}>; + for (var h = 0; h < 4; h++) { + for (var w = 0; w < 4; w++) { + p[h][w] = pixel_at_grid(h + y0, w + x0, H_in, W_in, indices[${j4}], indices[${T4}], border); + } + } + + let dx = x - f32(x0 + 1); + let dy = y - f32(y0 + 1); + let result = gs_bicubic_interpolate(p, dx, dy); + `;default:throw Error(`mode ${O.mode} is not supported`)}})()+`${$.setByOffset("global_idx","result")}`,Vx=($,j)=>{let O=j5("x",$[0].dataType,$[0].dims.length),G=[$[1].dims[0],$[1].dims[1],$[1].dims[2]],Z=j5("grid",$[1].dataType,G.length,2),V=[$[0].dims[0],$[0].dims[1],$[1].dims[1],$[1].dims[2]];j.format==="NHWC"&&(V=[$[0].dims[0],$[1].dims[1],$[1].dims[2],$[0].dims[3]],[j4,T4,Q8,C8]=[0,3,1,2]);let N=n5("output",$[0].dataType,V.length),J=O.type.value,R=[{type:12,data:d0.size(V)},...$6($[0].dims,G,V)];return{name:"GridSample",shaderCache:{hint:`${j.cacheKey}`,inputDependencies:["type","type"]},getRunData:(U)=>{let H=d0.size(V);return{outputs:[{dims:V,dataType:U[0].dataType}],dispatchGroup:{x:Math.ceil(H/64)},programUniforms:R}},getShaderSource:(U)=>` + ${U.registerUniform("output_size","u32").declareVariables(O,Z,N)} + + fn gs_get_cubic_coeffs(x: f32) -> vec4 { + let cubic_alpha = -0.75f; + let x_abs = abs(x); + var coeffs: vec4; + coeffs[0] = (((cubic_alpha * (x_abs + 1) - 5 * cubic_alpha) * (x_abs + 1) + 8 * cubic_alpha) * (x_abs + 1) - 4 * cubic_alpha); + coeffs[1] = (((cubic_alpha + 2) * x_abs - (cubic_alpha + 3)) * x_abs * x_abs + 1); + coeffs[2] = (((cubic_alpha + 2) * (1 - x_abs) - (cubic_alpha + 3)) * (1 - x_abs) * (1 - x_abs) + 1); + coeffs[3] = (((cubic_alpha * (2 - x_abs) - 5 * cubic_alpha) * (2 - x_abs) + 8 * cubic_alpha) * (2 - x_abs) - 4 * cubic_alpha); + return coeffs; + } + + ${jx(J)} + ${Ox(j)} + ${Gx(j)} + ${Zx(O,J,j)} + + ${U.mainStart()} + ${U.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let H_in = i32(uniforms.x_shape[${Q8}]); + let W_in = i32(uniforms.x_shape[${C8}]); + + ${j.alignCorners===0?` + let x_min = -0.5; + let x_max = f32(W_in) - 0.5; + let y_min = -0.5; + let y_max = f32(H_in) - 0.5; + `:` + let x_min = 0.0; + let x_max = f32(W_in) - 1.0; + let y_min = 0.0; + let y_max = f32(H_in) - 1.0; + `}; + let border = vec4(x_min, y_min, x_max, y_max); + + let indices = ${N.offsetToIndices("global_idx")}; + var grid_indices = vec3(indices[${j4}], indices[${Q8}], indices[${C8}]); + let nxy = ${Z.getByIndices("grid_indices")}; + var x = gs_denormalize(f32(nxy[0]), W_in); + var y = gs_denormalize(f32(nxy[1]), H_in); + + ${qx(N,J,j)} + }`}},ZF=($,j)=>{$x($.inputs),$.compute(Vx($.inputs,j))},qF=($)=>$9({alignCorners:$.align_corners,mode:$.mode,paddingMode:$.padding_mode,format:$.format})}),dF=k5(()=>{x6(),I6(),C9(),cv(),pv(),W6(),J7(),c1=($,j)=>$.length>j&&$[j].dims.length>0?$[j]:void 0,Nx=($,j)=>{let O=$[0],G=c1($,1),Z=c1($,2),V=c1($,3),N=c1($,4),J=c1($,5),R=c1($,6),U=c1($,7);if(O.dims.length!==3&&O.dims.length!==5)throw Error("Input query is expected to have 3 or 5 dimensions");let H,L=O.dims[0],Y=O.dims[1],S=O.dims.length===3?O.dims[2]:j.numHeads*O.dims[4],X=Y,D=0,I=0,k=Math.floor(S/j.numHeads);if(R&&U&&d0.size(R.dims)&&d0.size(U.dims)){if(R.dims.length!==4)throw Error('Input "past_key" is expected to have 4 dimensions');if(R.dims[0]!==L||R.dims[1]!==j.numHeads||R.dims[3]!==k)throw Error('Input "past_key" shape (batch_size, num_heads, past_sequence_length, head_size)');if(U.dims[0]!==L||U.dims[1]!==j.numHeads||U.dims[3]!==k)throw Error('Input "past_value" shape (batch_size, num_heads, past_sequence_length, head_size)');if(R.dims[2]!==U.dims[2])throw Error('Input "past_key" and "past_value" shall have same dim 2 (past_sequence_length)');if(U.dims.length!==4)throw Error('Input "past_value" is expected to have 4 dimensions');D=R.dims[2],I=R.dims[2]}else if(R&&d0.size(R.dims)||U&&d0.size(U.dims))throw Error('Input "past_key" and "past_value" shall be both present or both absent');if(G&&d0.size(G.dims)>0){if(O.dims.length!==3)throw Error('Input "query" is expected to have 3 dimensions when key is given');if(G.dims.length<3||G.dims.length>5)throw Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(O.dims[0]!==G.dims[0])throw Error('Input "query" and "key" shall have same dim 0 (batch size)');if(G.dims.length===3){if(G.dims[2]!==O.dims[2])throw Error('Input "query" and "key" shall have same dim 2 (hidden_size)');H=2,X=G.dims[1]}else if(G.dims.length===5){if(G.dims[2]!==j.numHeads||G.dims[3]!==2||G.dims[4]!==k)throw Error('Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(Z)throw Error('Expect "value" be none when "key" has packed kv format.');H=5,X=G.dims[1]}else{if(G.dims[1]!==j.numHeads||G.dims[3]!==k)throw Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');H=0,X=G.dims[2]}}else{if(O.dims.length!==5)throw Error('Input "query" is expected to have 5 dimensions when key is empty');if(O.dims[2]!==j.numHeads||O.dims[3]!==3)throw Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');H=3}if(V&&d0.size(V.dims)>0){if(V.dims.length!==1)throw Error('Input "bias" is expected to have 1 dimension');if(G&&G.dims.length===5&&G.dims[3]===2)throw Error("bias is not allowed for packed kv.")}let z=D+X,w=0;if(N&&d0.size(N.dims)>0){w=8;let E=N.dims;throw E.length===1?E[0]===L?w=1:E[0]===3*L+2&&(w=3):E.length===2&&E[0]===L&&E[1]===z&&(w=5),w===8?Error('Input "key_padding_mask" shape shall be (batch_size) or (batch_size, total_sequence_length)'):Error("Mask not supported")}let T=!1,W=S;if(Z&&d0.size(Z.dims)>0){if(Z.dims.length!==3&&Z.dims.length!==4)throw Error('Input "value" is expected to have 3 or 4 dimensions');if(O.dims[0]!==Z.dims[0])throw Error('Input "query" and "value" shall have same dim 0 (batch_size)');if(Z.dims.length===3){if(X!==Z.dims[1])throw Error('Input "key" and "value" shall have the same dim 1 (kv_sequence_length)');W=Z.dims[2]}else{if(X!==Z.dims[2])throw Error('Input "key" and "value" shall have the same dim 2 (kv_sequence_length)');W=Z.dims[1]*Z.dims[3],T=!0}}if(N&&d0.size(N.dims)>0)throw Error("Key padding mask is not supported");if(J&&d0.size(J.dims)>0){if(J.dims.length!==4)throw Error('Input "attention_bias" is expected to have 4 dimensions');if(J.dims[0]!==L||J.dims[1]!==j.numHeads||J.dims[2]!==Y||J.dims[3]!==z)throw Error('Expect "attention_bias" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:L,sequenceLength:Y,pastSequenceLength:D,kvSequenceLength:X,totalSequenceLength:z,maxSequenceLength:I,inputHiddenSize:0,hiddenSize:S,vHiddenSize:W,headSize:k,vHeadSize:Math.floor(W/j.numHeads),numHeads:j.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:j.maskFilterValue,maskType:w,scale:j.scale,broadcastResPosBias:!1,passPastInKv:T,qkvFormat:H}},VF=($)=>$9({...$}),PN=$9({perm:[0,2,1,3]}),Jx=($,j,O,G,Z,V,N)=>{let J=[G,Z,V],R=d0.size(J),U=[{type:12,data:R},{type:12,data:N},{type:12,data:V}];return $.compute({name:"MultiHeadAttentionAddBias",shaderCache:{inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:J,dataType:j.dataType,gpuDataType:0}],dispatchGroup:{x:Math.ceil(R/64)},programUniforms:U}),getShaderSource:(H)=>{let L=n5("qkv_with_bias",j.dataType,J),Y=j5("qkv",j.dataType,J),S=j5("bias",O.dataType,J);return` + ${H.registerUniforms([{name:"output_size",type:"u32"},{name:"bias_offset",type:"u32"},{name:"hidden_size",type:"u32"}]).declareVariables(Y,S,L)} + ${H.mainStart()} + ${H.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let bias_offset_idx = (global_idx % uniforms.hidden_size) + uniforms.bias_offset; + + qkv_with_bias[global_idx] = qkv[global_idx] + bias[bias_offset_idx]; + }`}},{inputs:[j,O],outputs:[-1]})[0]},fZ=($,j,O,G,Z,V,N,J)=>{let R=V;if(N&&d0.size(N.dims)>0){if(G===1)throw Error("AddBiasReshape is not implemented. Please export your model with packed QKV or KV");return R=Jx($,V,N,j,G,O*Z,J),R=R.reshape([j,G,O,Z]),O===1||G===1?R:$.compute(P2(R,PN.perm),{inputs:[R],outputs:[-1]})[0]}return V.dims.length===3&&(R=V.reshape([j,G,O,Z])),O===1||G===1?R:$.compute(P2(R,PN.perm),{inputs:[R],outputs:[-1]})[0]},NF=($,j)=>{let O=Nx($.inputs,j),G=$.inputs[0],Z=c1($.inputs,1),V=c1($.inputs,2),N=c1($.inputs,3),J=c1($.inputs,4),R=c1($.inputs,5),U=c1($.inputs,6),H=c1($.inputs,7);if(G.dims.length===5)throw Error("Packed QKV is not implemented");if(Z?.dims.length===5)throw Error("Packed KV is not implemented");let L=Z&&V&&Z.dims.length===4&&V.dims.length===4,Y=fZ($,O.batchSize,O.numHeads,O.sequenceLength,O.headSize,G,N,0);if(L)return cZ($,Y,Z,V,J,void 0,U,H,R,O);if(!Z||!V)throw Error("key and value must be provided");let S=fZ($,O.batchSize,O.numHeads,O.kvSequenceLength,O.headSize,Z,N,O.hiddenSize),X=fZ($,O.batchSize,O.numHeads,O.kvSequenceLength,O.vHeadSize,V,N,2*O.hiddenSize);cZ($,Y,S,X,J,void 0,U,H,R,O)}}),lF=k5(()=>{x6(),I6(),C9(),W6(),vx=($)=>{if(!$||$.length<1)throw Error("too few inputs")},Rx=($,j)=>{let O=[],G=j.numOutputs;return $[1].dims[0]>0&&($[1].getBigInt64Array().forEach((Z)=>O.push(Number(Z))),G=O.length),$9({numOutputs:G,axis:j.axis,splitSizes:O})},Ux=($)=>` +fn calculateOutputIndex(index: u32) -> u32 { + for (var i: u32 = 0u; i < ${$}u; i += 1u ) { + if (index < ${v6("uniforms.size_in_split_axis","i",$)}) { + return i; + } + } + return ${$}u; +}`,Hx=($)=>{let j=$.length,O=[];for(let G=0;G{let O=$[0].dims,G=d0.size(O),Z=$[0].dataType,V=d0.normalizeAxis(j.axis,O.length),N=Array(j.numOutputs),J=j5("input",Z,O.length),R=Array(j.numOutputs),U=[],H=[],L=0,Y=[{type:12,data:G}];for(let S=0;S` + ${S.registerUniform("input_size","u32").registerUniform("size_in_split_axis","u32",R.length).declareVariables(J,...N)} + ${Ux(R.length)} + ${Hx(N)} + + ${S.mainStart()} + ${S.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.input_size")} + + var indices = ${J.offsetToIndices("global_idx")}; + var index = ${J.indicesGet("indices",V)}; + let output_number = calculateOutputIndex(index); + if (output_number != 0) { + index -= ${v6("uniforms.size_in_split_axis","output_number - 1u",R.length)}; + ${J.indicesSet("indices",V,"index")}; + } + writeBufferData(output_number, indices, global_idx); + }`,getRunData:()=>({outputs:U,dispatchGroup:{x:Math.ceil(G/64)},programUniforms:Y})}},JF=($,j)=>{vx($.inputs);let O=$.inputs.length===1?j:Rx($.inputs,j);$.compute(Gv($.inputs,O),{inputs:[0]})},vF=($)=>{let{axis:j,splitSizes:O}=$,G=$.numOutputs<0?O.length:$.numOutputs;if(G!==O.length)throw Error("numOutputs and splitSizes lengh must be equal");return $9({axis:j,numOutputs:G,splitSizes:O})}}),oF=k5(()=>{x6(),I6(),C9(),W6(),xx=($,j)=>{let[O,G,Z,V]=$,{numHeads:N,rotaryEmbeddingDim:J}=j;if(O.dims.length!==3&&O.dims.length!==4)throw Error(`Input 'x' is expected to have 3 or 4 dimensions, got ${O.dims.length}`);if(!d0.areEqual(G.dims,[])&&!d0.areEqual(G.dims,[1])&&G.dims.length!==2)throw Error(`Input 'position_ids' is expected to have 0, 1, or 2 dimensions, got ${G.dims.length}`);if(Z.dims.length!==2)throw Error(`Input 'cos_cache' is expected to have 2 dimensions, got ${Z.dims.length}`);if(V.dims.length!==2)throw Error(`Input 'sin_cache' is expected to have 2 dimensions, got ${V.dims.length}`);if(!d0.areEqual(Z.dims,V.dims))throw Error("Inputs 'cos_cache' and 'sin_cache' are expected to have the same shape");if(J>0&&N===0)throw Error("num_heads must be provided if rotary_embedding_dim is specified");let R=O.dims[0],U=O.dims[O.dims.length-2],H=Z.dims[0],L=d0.sizeFromDimension(O.dims,1)/U,Y=J===0?2*Z.dims[1]:L/N;if(J>Y)throw Error("rotary_embedding_dim must be less than or equal to head_size");if(G.dims.length===2){if(R!==G.dims[0])throw Error(`Input 'position_ids' dimension 0 should be of size batch_size, got ${G.dims[0]}`);if(U!==G.dims[1])throw Error(`Input 'position_ids' dimension 1 should be of size sequence_length, got ${G.dims[1]}`)}if(Y/2!==Z.dims[1]&&J/2!==Z.dims[1])throw Error(`Input 'cos_cache' dimension 1 should be same as head_size / 2 or rotary_embedding_dim / 2, got ${Z.dims[1]}`);if(U>H)throw Error("Updating cos_cache and sin_cache in RotaryEmbedding is not currently supported")},RV=($,j)=>{let{interleaved:O,numHeads:G,rotaryEmbeddingDim:Z,scale:V}=j,N=$[0].dims[0],J=d0.sizeFromDimension($[0].dims,1),R=$[0].dims[$[0].dims.length-2],U=J/R,H=$[2].dims[1],L=Z===0?2*H:U/G,Y=[N,R,U/L,L-H],S=d0.computeStrides(Y),X=[{type:1,data:V},{type:12,data:Y},{type:12,data:S},...$[0].dims.length===3?[{type:12,data:[J,U,L,1]}]:[],...$[0].dims.length===4?[{type:12,data:[J,L,R*L,1]}]:[],...$6($[0].dims,$[1].dims,$[2].dims,$[3].dims,$[0].dims)];return{name:"RotaryEmbedding",shaderCache:{hint:$9({interleaved:O}).cacheKey,inputDependencies:["rank","rank","rank","rank"]},getShaderSource:(D)=>{let I=j5("input",$[0].dataType,$[0].dims.length),k=j5("position_ids",$[1].dataType,$[1].dims.length),z=j5("cos_cache",$[2].dataType,$[2].dims.length),w=j5("sin_cache",$[3].dataType,$[3].dims.length),T=n5("output",$[0].dataType,$[0].dims.length);return D.registerUniforms([{name:"scale",type:"f32"},{name:"global_shape",type:"u32",length:Y.length},{name:"global_strides",type:"u32",length:S.length},{name:"input_output_strides",type:"u32",length:S.length}]),` + ${D.declareVariables(I,k,z,w,T)} + + ${D.mainStart(kG)} + let half_rotary_emb_dim = uniforms.${z.name}_shape[1]; + let bsnh = global_idx / uniforms.global_strides % uniforms.global_shape; + let size = uniforms.global_shape[0] * uniforms.global_strides[0]; + ${D.guardAgainstOutOfBoundsWorkgroupSizes("size")} + + if (bsnh[3] < half_rotary_emb_dim) { + let position_ids_idx = + ${k.broadcastedIndicesToOffset("bsnh.xy",n5("",k.type.tensor,2))}; + let position_id = + u32(${k.getByOffset("position_ids_idx")}) + select(0, bsnh[1], position_ids_idx == 0); + let i = dot(bsnh, uniforms.input_output_strides) + select(0, bsnh[3], ${O}); + let j = i + select(half_rotary_emb_dim, 1, ${O}); + let re = ${I.getByOffset("i")} * ${z.get("position_id","bsnh[3]")} - + ${I.getByOffset("j")} * ${w.get("position_id","bsnh[3]")}; + ${T.setByOffset("i","re")} + let im = ${I.getByOffset("i")} * ${w.get("position_id","bsnh[3]")} + + ${I.getByOffset("j")} * ${z.get("position_id","bsnh[3]")}; + ${T.setByOffset("j","im")} + } else { + let k = dot(bsnh, uniforms.input_output_strides) + half_rotary_emb_dim; + ${T.setByOffset("k",I.getByOffset("k"))} + } + }`},getRunData:()=>({outputs:[{dims:$[0].dims,dataType:$[0].dataType}],dispatchGroup:{x:Math.ceil(d0.size(Y)/kG)},programUniforms:X})}},RF=($,j)=>{xx($.inputs,j),$.compute(RV($.inputs,j))}}),SW=k5(()=>{C9(),x6(),pv(),dF(),lF(),J7(),oF(),W6(),Lx=($,j)=>{if(j.doRotary&&$.length<=7)throw Error("cos_cache and sin_cache inputs are required if do_rotary is specified");let O=$[0],G=$[1],Z=$[2],V=$[3],N=$[4];if(j.doRotary!==0&&$.length<=7)throw Error("cos_cast and sin_cache are expected if do_rotary attribute is non-zero");if(j.localWindowSize!==-1)throw Error("Local attention is not supported");if(j.softcap!==0)throw Error("Softcap is not supported");if(j.rotaryInterleaved!==0)throw Error("Rotary interleaved is not supported");if(j.smoothSoftmax)throw Error("Smooth softmax is not supported");if(O.dims.length!==3&&O.dims.length!==5)throw Error("Input query is expected to have 3 or 5 dimensions");let J=O.dims[0],R=O.dims[1],U=O.dims.length===3?O.dims[2]:j.numHeads*O.dims[4],H=R,L=0,Y=!G||G.dims.length===0,S=Math.floor(Y?U/(j.numHeads+2*j.kvNumHeads):U/j.numHeads);Y&&(U=S*j.numHeads);let X=V&&V.dims.length!==0,D=N&&N.dims.length!==0;if(X&&V.dims.length===4&&V.dims[0]===J&&V.dims[1]!==j.kvNumHeads&&V.dims[2]===j.kvNumHeads&&V.dims[3]===S)throw Error("BSNH pastKey/pastValue is not supported");if(X&&D){if(V.dims.length!==4)throw Error('Input "past_key" is expected to have 4 dimensions');if(N.dims.length!==4)throw Error('Input "past_value" is expected to have 4 dimensions');L=V.dims[2]}else if(X||D)throw Error('Input "past_key" and "past_value" shall be both present or both absent');let I=1;if(G&&G.dims.length>0){if(O.dims.length!==3)throw Error('Input "query" is expected to have 3 dimensions when key is given');if(G.dims.length<3||G.dims.length>5)throw Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(O.dims[0]!==G.dims[0])throw Error('Input "query" and "key" shall have same dim 0 (batch size)');if(G.dims.length===3){if(O.dims[2]%G.dims[2]!==0)throw Error('Dimension 2 of "query" should be a multiple of "key"');H=G.dims[1]}else if(G.dims.length===5){if(G.dims[2]!==j.numHeads||G.dims[3]!==2||G.dims[4]!==S)throw Error('Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(Z)throw Error('Expect "value" be none when "key" has packed kv format.');H=G.dims[1]}else{if(G.dims[1]!==j.numHeads||G.dims[3]!==S)throw Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');H=G.dims[2]}}else{if(O.dims.length!==3&&O.dims.length!==5)throw Error('Input "query" is expected to have 3 or 5 dimensions when key is empty');if(O.dims.length===5&&(O.dims[2]!==j.numHeads||O.dims[3]!==3))throw Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');I=3}let k=!1,z=j.kvNumHeads?S*j.kvNumHeads:U;if(Z&&Z.dims.length>0){if(Z.dims.length!==3&&Z.dims.length!==4)throw Error('Input "value" is expected to have 3 or 4 dimensions');if(O.dims[0]!==Z.dims[0])throw Error('Input "query" and "value" shall have same dim 0 (batch_size)');if(Z.dims.length===3){if(H!==Z.dims[1])throw Error('Input "key" and "value" shall have the same dim 1 (kv_sequence_length)');z=Z.dims[2]}else{if(H!==Z.dims[2])throw Error('Input "past_key" and "past_value" shall have the same dim 2 (kv_sequence_length)');z=Z.dims[1]*Z.dims[3],k=!0}}let w=$.length>4?$[5]:void 0;if(w&&w.dims.length!==1&&w.dims[0]!==J)throw Error('Input "seqlens" is expected to have 1 dimension and the same dim 0 as batch_size');return{batchSize:J,sequenceLength:R,pastSequenceLength:L,kvSequenceLength:H,totalSequenceLength:-1,maxSequenceLength:-1,inputHiddenSize:0,hiddenSize:U,vHiddenSize:z,headSize:S,vHeadSize:Math.floor(z/j.kvNumHeads),numHeads:j.numHeads,kvNumHeads:j.kvNumHeads,nReps:j.numHeads/j.kvNumHeads,pastPresentShareBuffer:!1,maskType:0,scale:j.scale,broadcastResPosBias:!1,passPastInKv:k,qkvFormat:I}},_x=$9({perm:[0,2,1,3]}),XN=($,j,O)=>{let G=j,Z=O.kvNumHeads;return j.dims.length===3&&O.kvSequenceLength!==0&&(G=j.reshape([O.batchSize,O.kvSequenceLength,Z,O.headSize]),G=$.compute(P2(G,_x.perm),{inputs:[G],outputs:[-1]})[0]),G},Yx=($,j,O,G)=>{let Z=[$*j],V=$*j,N=[{type:12,data:V},{type:12,data:j},{type:12,data:$}];return{name:"GeneratePositionIds",shaderCache:{hint:`${$};${j}`,inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:Z,dataType:7}],dispatchGroup:{x:Math.ceil(V/64)},programUniforms:N}),getShaderSource:(J)=>{let R=j5("seq_lens",O.dataType,O.dims),U=j5("total_seq_lens",G.dataType,G.dims),H=n5("pos_ids",7,Z);return` + ${J.registerUniforms([{name:"output_size",type:"u32"},{name:"sequence_length",type:"u32"},{name:"batch_size",type:"u32"}]).declareVariables(R,U,H)} + ${J.mainStart()} + ${J.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let total_sequence_length = u32(${U.getByOffset("0")}); + let is_subsequent_prompt = uniforms.sequence_length > 1 && uniforms.sequence_length != total_sequence_length; + let is_first_prompt = !is_subsequent_prompt && uniforms.sequence_length == total_sequence_length; + let batch_idx = global_idx / uniforms.sequence_length; + let sequence_idx = i32(global_idx % uniforms.sequence_length); + var pos_id: i32 = 0; + let seqlen = ${R.getByOffset("batch_idx")}; + let total_seqlen = seqlen + 1; + if (is_first_prompt) { + if (sequence_idx < total_seqlen) { + pos_id = sequence_idx; + } else { + pos_id = 1; + } + ${H.setByOffset("global_idx","pos_id")} + } else if (is_subsequent_prompt) { + let past_seqlen = total_seqlen - i32(uniforms.sequence_length); + if (past_seqlen + sequence_idx < total_seqlen) { + pos_id = past_seqlen + sequence_idx; + } else { + pos_id = 1; + } + ${H.setByOffset("global_idx","pos_id")} + } else if (global_idx < uniforms.batch_size) { + ${H.setByOffset("global_idx","seqlen")} + }; + } + `}}},UF=($,j)=>{let O=Lx($.inputs,j);if($.inputs[0].dims.length===5)throw Error("Packed QKV is not implemented");if($.inputs[1]?.dims.length===5)throw Error("Packed KV is not implemented");let G,Z,V=$.inputs[0],N=$.inputs[1]&&$.inputs[1].dims.length>0?$.inputs[1]:void 0,J=$.inputs[2]&&$.inputs[2].dims.length>0?$.inputs[2]:void 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0,0),z=XN($,j.doRotary?Z:D,O),w=XN($,I,O);cZ($,k,z,w,void 0,void 0,R,U,void 0,O,H,L)}}),PW=k5(()=>{x6(),I6(),J7(),W6(),TN=($,j,O,G,Z,V,N,J)=>{let R=M9(V),U=R===1?"f32":`vec${R}f`,H=R===1?"vec2f":`mat2x${R}f`,L=Z*N,Y=64;L===1&&(Y=256);let S=[Z,N,V/R],X=[Z,N,2],D=[];return D.push(...$6(S,X)),$.compute({name:"InstanceNormComputeChannelScaleShift",shaderCache:{hint:`${R};${J};${Y}`,inputDependencies:["rank","type","type"]},getRunData:()=>({outputs:[{dims:X,dataType:1}],dispatchGroup:{x:L},programUniforms:D}),getShaderSource:(I)=>{let k=j5("x",j.dataType,3,R),z=[k,j5("scale",O.dataType,O.dims),j5("bias",G.dataType,G.dims),n5("output",1,3,2)];return` + var workgroup_shared : array<${H}, ${Y}>; + const workgroup_size = ${Y}u; + ${I.declareVariables(...z)} + ${I.mainStart(Y)} + let batch = workgroup_index / uniforms.x_shape[1]; + let channel = workgroup_index % uniforms.x_shape[1]; + let hight = uniforms.x_shape[2]; + // initialize workgroup memory + var sum = ${U}(0); + var squared_sum = ${U}(0); + for (var h = local_idx; h < hight; h += workgroup_size) { + let value = ${U}(${k.get("batch","channel","h")}); + sum += value; + squared_sum += value * value; + } + workgroup_shared[local_idx] = ${H}(sum, squared_sum); + workgroupBarrier(); + + for (var currSize = workgroup_size >> 1; currSize > 0; currSize = currSize >> 1) { + if (local_idx < currSize) { + workgroup_shared[local_idx] = workgroup_shared[local_idx] + workgroup_shared[local_idx + currSize]; + } + workgroupBarrier(); + } + if (local_idx == 0) { + let sum_final = ${V7("workgroup_shared[0][0]",R)} / f32(hight * ${R}); + let squared_sum_final = ${V7("workgroup_shared[0][1]",R)} / f32(hight * ${R}); + + let inv_std_dev = inverseSqrt(squared_sum_final - sum_final * sum_final + f32(${J})); + let channel_scale = inv_std_dev * f32(scale[channel]); + let channel_shift = f32(bias[channel]) - sum_final * channel_scale; + output[workgroup_index] = vec2f(channel_scale, channel_shift); + } + }`}},{inputs:[j,O,G],outputs:[-1]})[0]},Sx=($,j,O)=>{let G=j[0].dims,Z=G,V=G[0],N=G[1],J=d0.sizeFromDimension(G,2),R=M9(J),U=d0.size(Z)/R,H=TN($,j[0],j[1],j[2],V,J,N,O.epsilon),L=[V,N,J/R],Y=[V,N];$.compute({name:"InstanceNormalization",shaderCache:{hint:`${R}`,inputDependencies:["type","none"]},getRunData:()=>({outputs:[{dims:Z,dataType:j[0].dataType}],dispatchGroup:{x:Math.ceil(U/64)},programUniforms:[{type:12,data:U},...$6(L,Y,L)]}),getShaderSource:(S)=>{let X=j5("x",j[0].dataType,L.length,R),D=j5("scale_shift",1,Y.length,2),I=n5("output",j[0].dataType,L.length,R),k=[X,D,I];return` + ${S.registerUniform("output_size","u32").declareVariables(...k)} + ${S.mainStart()} + ${S.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let outputIndices = ${I.offsetToIndices("global_idx")}; + let batch = outputIndices[0]; + let channel = outputIndices[1]; + let scale_shift = ${D.getByIndices("vec2(batch, channel)")}; + let value = ${X.getByOffset("global_idx")} * ${I.type.value}(scale_shift.x) + ${I.type.value}(scale_shift.y); + ${I.setByOffset("global_idx","value")}; + }`}},{inputs:[j[0],H]})},Px=($,j,O)=>{let G=j[0].dims,Z=G,V=G[0],N=G[G.length-1],J=d0.sizeFromDimension(G,1)/N,R=M9(N),U=d0.size(Z)/R,H=[{type:12,data:J},{type:12,data:Math.floor(N/R)}],L=!1,Y=[0,G.length-1];for(let D=0;DG[Y[I]])),X=TN($,S,j[1],j[2],V,J,N,O.epsilon);$.compute({name:"InstanceNormalizationNHWC",shaderCache:{hint:`${R}`,inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:Z,dataType:j[0].dataType}],dispatchGroup:{x:Math.ceil(U/64)},programUniforms:H}),getShaderSource:(D)=>{let I=G1(j[0].dataType),k=R===1?"vec2f":`mat${R}x2f`,z=(W)=>{let E=W===0?"x":"y",Q=R===1?"f32":`vec${R}f`;switch(R){case 1:return`${I}(${Q}(scale.${E}))`;case 2:return`vec2<${I}>(${Q}(scale[0].${E}, scale[1].${E}))`;case 4:return`vec4<${I}>(${Q}(scale[0].${E}, scale[1].${E}, scale[2].${E}, scale[3].${E}))`;default:throw Error(`Not supported compoents ${R}`)}},w=j5("input",j[0].dataType,j[0].dims,R),T=n5("output",j[0].dataType,Z,R);return` + @group(0) @binding(0) var input : array<${w.type.storage}>; + @group(0) @binding(1) var scale_input : array<${k}>; + @group(0) @binding(2) var output : array<${T.type.storage}>; + struct Uniforms {H: u32, C : u32}; + @group(0) @binding(3) var uniforms: Uniforms; + + ${D.mainStart()} + let current_image_number = global_idx / (uniforms.C * uniforms.H); + let current_channel_number = global_idx % uniforms.C; + + let scale_offset = current_image_number * uniforms.C + current_channel_number; + let scale = scale_input[scale_offset]; + output[global_idx] = fma(input[global_idx], ${z(0)}, ${z(1)}); + }`}},{inputs:[j[0],X]})},HF=($,j)=>{j.format==="NHWC"?Px($,$.inputs,j):Sx($,$.inputs,j)}}),XW=k5(()=>{x6(),I6(),W6(),Xx=($)=>{if(!$||$.length<2)throw Error("layerNorm requires at least 2 inputs.")},Tx=($,j,O)=>{let G=j.simplified,Z=$[0].dims,V=$[1],N=!G&&$[2],J=Z,R=d0.normalizeAxis(j.axis,Z.length),U=d0.sizeToDimension(Z,R),H=d0.sizeFromDimension(Z,R),L=d0.size(V.dims),Y=N?d0.size(N.dims):0;if(L!==H||N&&Y!==H)throw Error(`Size of X.shape()[axis:] == ${H}. + Size of scale and bias (if provided) must match this. + Got scale size of ${L} and bias size of ${Y}`);let S=[];for(let T=0;T1,z=O>2,w=[{dims:J,dataType:$[0].dataType}];return k&&w.push({dims:S,dataType:1}),z&&w.push({dims:S,dataType:1}),{name:"LayerNormalization",shaderCache:{hint:`${X};${O};${G}`,inputDependencies:D},getRunData:()=>({outputs:w,dispatchGroup:{x:Math.ceil(U/64)},programUniforms:I}),getShaderSource:(T)=>{let W=G1($[0].dataType),E=[j5("x",$[0].dataType,$[0].dims,X),j5("scale",V.dataType,V.dims,X)];return N&&E.push(j5("bias",N.dataType,N.dims,X)),E.push(n5("output",$[0].dataType,J,X)),k&&E.push(n5("mean_data_output",1,S)),z&&E.push(n5("inv_std_output",1,S)),` + ${T.registerUniforms([{name:"norm_count",type:"u32"},{name:"norm_size",type:"f32"},{name:"norm_size_vectorized",type:"u32"},{name:"epsilon",type:"f32"}]).declareVariables(...E)} + ${T.mainStart()} + ${T.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.norm_count")} + let offset = global_idx * uniforms.norm_size_vectorized; + var mean_vector = ${iJ("f32",X)}; + var mean_square_vector = ${iJ("f32",X)}; + + for (var h: u32 = 0u; h < uniforms.norm_size_vectorized; h++) { + let value = ${FG(W,X,"x[h + offset]")}; + mean_vector += value; + mean_square_vector += value * value; + } + let mean = ${V7("mean_vector",X)} / uniforms.norm_size; + let inv_std_dev = inverseSqrt(${V7("mean_square_vector",X)} / uniforms.norm_size ${G?"":"- mean * mean"} + uniforms.epsilon); + + for (var j: u32 = 0; j < uniforms.norm_size_vectorized; j++) { + let f32input = ${FG(W,X,"x[j + offset]")}; + let f32scale = ${FG(W,X,"scale[j]")}; + output[j + offset] = ${E[0].type.value}((f32input ${G?"":"- mean"}) * inv_std_dev * f32scale + ${N?`+ ${FG(W,X,"bias[j]")}`:""} + ); + } + + ${k?"mean_data_output[global_idx] = mean":""}; + ${z?"inv_std_output[global_idx] = inv_std_dev":""}; + }`}}},xF=($,j)=>{Xx($.inputs),$.compute(Tx($.inputs,j,$.outputCount))}}),TW=k5(()=>{I6(),uv(),dv(),Fx=($)=>{if(!$||$.length!==2)throw Error("MatMul requires 2 inputs.");if($[0].dims[$[0].dims.length-1]!==$[1].dims[$[1].dims.length-2])throw Error("shared dimension does not match.")},LF=($)=>{Fx($.inputs);let j=zG.calcShape($.inputs[0].dims,$.inputs[1].dims,!0);if(!j)throw Error("Can't use matmul on the given tensors");let O=j[j.length-1],G=$.inputs[0].dims[$.inputs[0].dims.length-1];if(O<8&&G<8)$.compute(Cv($.inputs,{activation:""},j));else{let Z=j[j.length-2],V=d0.size($.inputs[0].dims.slice(0,-2)),N=d0.size($.inputs[1].dims.slice(0,-2));if(V!==1&&Z===1&&N===1){let J=[1,V,O],R=[$.inputs[0].reshape([1,V,G]),$.inputs[1].reshape([1,G,O])];$.compute(vV(R,{activation:""},j,J),{inputs:R})}else 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O=$[0].dims,G=O.length,Z=O[G-2],V=j.k,N=j.n,J=O.slice(0,G-2),R=d0.size(J),U=$[1].dims[2]/4,H=$[0].dataType,L=M9(j.k),Y=M9(U),S=M9(N),X=J.concat([Z,N]),D=Z>1&&N/S%2==0?2:1,I=d0.size(X)/S/D,k=64,z=[],w=[R,Z,V/L],T=d0.convertShape($[1].dims).slice();T.splice(-1,1,U/Y),z.push(...$6(w)),z.push(...$6(T)),z.push(...$6($[2].dims)),$.length===4&&z.push(...$6(d0.convertShape($[3].dims)));let W=[R,Z,N/S];return z.push(...$6(W)),{name:"MatMulNBits",shaderCache:{hint:`${j.blockSize};${j.bits};${L};${Y};${S};${D};64`,inputDependencies:Array($.length).fill("rank")},getRunData:()=>({outputs:[{dims:X,dataType:H}],dispatchGroup:{x:I},programUniforms:z}),getShaderSource:(E)=>{let Q=w.length,A=j5("a",$[0].dataType,Q,L),l=j5("b",12,T.length,Y),r=j5("scales",$[2].dataType,$[2].dims.length),e=[A,l,r],V0=$.length===4?j5("zero_points",12,$[3].dims.length):void 0;V0&&e.push(V0);let v0=W.length,$0=n5("output",$[0].dataType,v0,S),i=G1($[0].dataType),G0=(()=>{switch(L){case 1:return`array<${i}, 8>`;case 2:return`mat4x2<${i}>`;case 4:return`mat2x4<${i}>`;default:throw Error(`${L}-component is not supported.`)}})();return` + var workgroup_shared: array<${$0.type.value}, ${D*k}>; + ${E.declareVariables(...e,$0)} + ${E.mainStart([k,1,1])} + let output_indices = ${$0.offsetToIndices(`(global_idx / 64) * ${D}`)}; + let col = output_indices[2]; + let row = output_indices[1]; + let batch = output_indices[0]; + let nBlocksPerCol = uniforms.b_shape[1]; + + for (var block = local_id.x; block < nBlocksPerCol; block += 64) { + //process one block + var word_offset: u32 = block * ${j.blockSize/L}; + ${(()=>{let S0=` + var col_index = col * ${S}; + ${V0?` + let zero_point_bytes_per_col = (nBlocksPerCol + 1) / 2; + var zero_point_byte_count: u32; + var zero_point_word_index: u32; + var zero_point_byte_offset: u32; + let zero_point_nibble_offset: u32 = block & 0x1u; + var zero_point_bits_offset: u32; + var zero_point_word: u32;`:` + // The default zero point is 8 for unsigned 4-bit quantization. + let zero_point = ${i}(8);`} + `;for(let F0=0;F0> 0x1u); + zero_point_word_index = zero_point_byte_count >> 0x2u; + zero_point_byte_offset = zero_point_byte_count & 0x3u; + zero_point_bits_offset = (zero_point_byte_offset << 3) + (zero_point_nibble_offset << 2); + zero_point_word = ${V0.getByOffset("zero_point_word_index")} >> zero_point_bits_offset; + let zero_point${F0} = ${i}((zero_point_word) & 0xFu);`:""} + col_index += 1;`;return S0})()} + for (var word: u32 = 0; word < ${U}; word += ${Y}) { + ${(()=>{let S0=`col_index = col * ${S};`;for(let F0=0;F0; + var b_value_upper: vec4; + var b_quantized_values: ${G0}; + var b_dequantized_values: ${G0};`,S0})()} + for (var i: u32 = 0; i < ${Y}; i++) { + ${(()=>{let S0=` + // reuse a data + var input_offset = ${A.indicesToOffset(`${A.type.indices}(batch, row, word_offset)`)}; + var a_data: ${G0}; + for (var j: u32 = 0; j < ${8/L}; j++) { + a_data[j] = ${A.getByOffset("input_offset")}; + input_offset++; + } + `;for(let F0=0;F0> 4) & b_mask); + b_quantized_values = ${G0}(${Array.from({length:4},(s,n)=>`${i}(b_value_lower[${n}]), ${i}(b_value_upper[${n}])`).join(", ")}); + b_dequantized_values = ${L===1?`${G0}(${Array.from({length:8},(s,n)=>`(b_quantized_values[${n}] - ${V0?`zero_point${F0}`:"zero_point"}) * scale${F0}`).join(", ")});`:`(b_quantized_values - ${G0}(${Array(8).fill(V0?`zero_point${F0}`:"zero_point").join(",")})) * scale${F0};`}; + workgroup_shared[local_id.x * ${D} + ${Math.floor(F0/S)}]${S>1?`[${F0%S}]`:""} += ${Array.from({length:8/L},(s,n)=>L===1?`a_data[${n}] * b_dequantized_values[${n}]`:`dot(a_data[${n}], b_dequantized_values[${n}])`).join(" + ")}; + `;return S0})()} + word_offset += ${8/L}; + } + } + } + workgroupBarrier(); + + if (local_id.x < ${D}) { + var output_value: ${$0.type.value} = ${$0.type.value}(0); + var workgroup_shared_offset: u32 = local_id.x; + for (var b: u32 = 0u; b < 64u; b++) { + output_value += workgroup_shared[workgroup_shared_offset]; + workgroup_shared_offset += ${D}; + } + ${$0.setByIndices(`${$0.type.indices}(batch, row, col + local_id.x)`,"output_value")}; + } + }`}}},kx=($,j)=>{let O=$[0].dims,G=O.length,Z=O[G-2],V=j.k,N=j.n,J=O.slice(0,G-2),R=d0.size(J),U=$[1].dims[2]/4,H=$[0].dataType,L=M9(j.k),Y=M9(U),S=J.concat([Z,N]),X=N%8==0?8:N%4==0?4:1,D=128/X,I=D*Y*8,k=I/L,z=I/j.blockSize,w=d0.size(S)/X,T=[],W=[R,Z,V/L],E=d0.convertShape($[1].dims).slice();E.splice(-1,1,U/Y),T.push(...$6(W)),T.push(...$6(E)),T.push(...$6($[2].dims)),$.length===4&&T.push(...$6(d0.convertShape($[3].dims)));let Q=[R,Z,N];return T.push(...$6(Q)),{name:"BlockwiseMatMulNBits32",shaderCache:{hint:`${j.blockSize};${L};${Y};${D};${X}`,inputDependencies:Array($.length).fill("rank")},getRunData:()=>({outputs:[{dims:S,dataType:H}],dispatchGroup:{x:w},programUniforms:T}),getShaderSource:(A)=>{let l=W.length,r=j5("a",$[0].dataType,l,L),e=j5("b",12,E.length,Y),V0=j5("scales",$[2].dataType,$[2].dims.length),v0=[r,e,V0],$0=$.length===4?j5("zero_points",12,$[3].dims.length):void 0;$0&&v0.push($0);let i=Q.length,G0=n5("output",$[0].dataType,i),S0=G1($[0].dataType);return` + var sub_a: array<${r.type.value}, ${k}>; + var inter_results: array, ${X}>; + ${A.declareVariables(...v0,G0)} + ${A.mainStart([D,X,1])} + let output_indices = ${G0.offsetToIndices(`workgroup_index * ${X}`)}; + let col = output_indices[2]; + let row = output_indices[1]; + let batch = output_indices[0]; + let n_blocks_per_col = uniforms.b_shape[1]; + let num_tiles = (n_blocks_per_col - 1) / ${z} + 1; + + // Loop over shared dimension. + for (var tile: u32 = 0; tile < num_tiles; tile += 1) { + let a_col_start = tile * ${k}; + // load one tile A data into shared memory. + for (var a_offset = local_idx; a_offset < ${k}; a_offset += 128) + { + let a_col = a_col_start + a_offset; + if (a_col < uniforms.a_shape[2]) + { + sub_a[a_offset] = ${r.getByIndices(`${r.type.indices}(batch, row, a_col)`)}; + } else { + sub_a[a_offset] = ${r.type.value}(0); + } + } + workgroupBarrier(); + + // each thread process one block + let b_row = col + local_id.y; + let block = tile * ${z} + local_id.x; + ${$0?` + let zero_point_bytes_per_col = (n_blocks_per_col + 1) / 2; + let zero_point_byte_count = b_row * zero_point_bytes_per_col + (block >> 0x1u); + let zero_point_word_index = zero_point_byte_count >> 0x2u; + let zero_point_byte_offset = zero_point_byte_count & 0x3u; + let zero_point_nibble_offset: u32 = block & 0x1u; + let zero_point_bits_offset = (zero_point_byte_offset << 3) + (zero_point_nibble_offset << 2); + let zero_point_word = ${$0.getByOffset("zero_point_word_index")} >> zero_point_bits_offset; + let zero_point = ${S0}((zero_point_word) & 0xFu);`:` + // The default zero point is 8 for unsigned 4-bit quantization. + let zero_point = ${S0}(8);`} + let scale = ${V0.getByOffset("b_row * n_blocks_per_col + block")}; + let b_data = ${e.getByIndices(`${e.type.indices}(b_row, block, 0)`)}; + var word_offset = local_id.x * ${j.blockSize/L}; + for (var i: u32 = 0; i < ${Y}; i++) { + ${(()=>{switch(L){case 1:return` + let a_data0 = vec4<${S0}>(sub_a[word_offset], sub_a[word_offset + 1], sub_a[word_offset + 2], sub_a[word_offset + 3]); + let a_data1 = vec4<${S0}>(sub_a[word_offset + 4], sub_a[word_offset + 5], sub_a[word_offset + 6], sub_a[word_offset + 7]);`;case 2:return` + let a_data0 = vec4<${S0}>(sub_a[word_offset], sub_a[word_offset + 1]); + let a_data1 = vec4<${S0}>(sub_a[word_offset + 2], sub_a[word_offset + 3]);`;case 4:return` + let a_data0 = sub_a[word_offset]; + let a_data1 = sub_a[word_offset + 1];`;default:throw Error(`${L}-component is not supported.`)}})()} + let b_value = ${Y===1?"b_data":"b_data[i]"}; + let b_value_lower = unpack4xU8(b_value & 0x0F0F0F0Fu); + let b_value_upper = unpack4xU8((b_value >> 4) & 0x0F0F0F0Fu); + let b_quantized_values = mat2x4<${S0}>(${Array.from({length:4},(F0,s)=>`${S0}(b_value_lower[${s}]), ${S0}(b_value_upper[${s}])`).join(", ")}); + let b_dequantized_values = (b_quantized_values - mat2x4<${S0}>(${Array(8).fill("zero_point").join(",")})) * scale; + inter_results[local_id.y][local_id.x] += ${Array.from({length:2},(F0,s)=>`dot(a_data${s}, b_dequantized_values[${s}])`).join(" + ")}; + word_offset += ${8/L}; + } + workgroupBarrier(); + } + + if (local_idx < ${X}) { + var output_value: ${G0.type.value} = ${G0.type.value}(0); + for (var b = 0u; b < ${D}; b++) { + output_value += inter_results[local_idx][b]; + } + if (col + local_idx < uniforms.output_shape[2]) + { + ${G0.setByIndices(`${G0.type.indices}(batch, row, col + local_idx)`,"output_value")} + } + } + }`}}},_F=($,j)=>{yx($.inputs,j),j.blockSize===32&&$.adapterInfo.isVendor("intel")&&$.adapterInfo.isArchitecture("gen-12lp")?$.compute(kx($.inputs,j)):$.compute(zx($.inputs,j))},YF=($)=>$9($)}),yW=k5(()=>{x6(),I6(),W6(),Ix=($)=>{if(!$||$.length<1)throw Error("Too few inputs");if($[0].dataType!==1&&$[0].dataType!==10)throw Error("Input type must be float or float16.");if($.length>=2){let 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var k = 0; + ${G} + value = x[offset]; + `},Mx=($,j,O)=>{let G="";for(let Z=j-1;Z>=0;--Z)G+=` + k = i32(${$.indicesGet("indices",Z)}) - ${v6("uniforms.pads",Z,O)}; + if (k < 0) { + k = 0; + } + if (k >= i32(${v6("uniforms.x_shape",Z,j)})) { + k = i32(${v6("uniforms.x_shape",Z,j)}) - 1; + } + offset += k * i32(${v6("uniforms.x_strides",Z,j)}); + `;return` + var offset = 0; + var k = 0; + ${G} + value = x[offset]; + `},Kx=($,j,O)=>{let G="";for(let Z=j-1;Z>=0;--Z)G+=` + k = i32(${$.indicesGet("indices",Z)}) - ${v6("uniforms.pads",Z,O)}; + if (k < 0) { + k += i32(${v6("uniforms.x_shape",Z,j)}]); + } + if (k >= i32(${v6("uniforms.x_shape",Z,j)})) { + k -= i32(${v6("uniforms.x_shape",Z,j)}); + } + offset += k * i32(${v6("uniforms.x_strides",Z,j)}); + `;return` + var offset = 0; + var k = 0; + ${G} + value = x[offset]; + `},bx=($,j,O)=>{switch(O.mode){case 0:return Dx($,j,O.pads.length);case 1:return Wx($,j,O.pads.length);case 2:return Mx($,j,O.pads.length);case 3:return Kx($,j,O.pads.length);default:throw Error("Invalid mode")}},fx=($,j)=>{let O=d0.padShape($[0].dims.slice(),j.pads),G=$[0].dims,Z=[{type:12,data:d0.size(O)},{type:6,data:j.pads}],V=$.length>=3&&$[2].data;return j.mode===0&&Z.push({type:V?$[2].dataType:1,data:j.value}),Z.push(...$6($[0].dims,O)),{name:"Pad",shaderCache:{hint:`${j.mode}${V}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:O,dataType:$[0].dataType}],dispatchGroup:{x:Math.ceil(d0.size(O)/64)},programUniforms:Z}),getShaderSource:(N)=>{let J=n5("output",$[0].dataType,O.length),R=j5("x",$[0].dataType,G.length),U=R.type.value,H=bx(J,G.length,j),L=[{name:"output_size",type:"u32"},{name:"pads",type:"i32",length:j.pads.length}];return j.mode===0&&L.push({name:"constant_value",type:V?U:"f32"}),` + ${N.registerUniforms(L).declareVariables(R,J)} + ${N.mainStart()} + ${N.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + + let indices = ${J.offsetToIndices("global_idx")}; + + var value = ${U}(0); + ${H} + output[global_idx] = value; + }`}}},wx=($,j)=>{if($.length>1){let O=$[1].getBigInt64Array(),G=$.length>=3&&$[2].data?$[2].dataType===10?$[2].getUint16Array()[0]:$[2].getFloat32Array()[0]:0,Z=$[0].dims.length,V=new Int32Array(2*Z).fill(0);if($.length>=4){let J=$[3].getBigInt64Array();for(let R=0;RV[Number(R)]=Number(J));let N=[];return V.forEach((J)=>N.push(J)),{mode:j.mode,value:G,pads:N}}return j},SF=($,j)=>{Ix($.inputs);let O=wx($.inputs,j);$.compute(fx($.inputs,O),{inputs:[0]})}}),zW=k5(()=>{w3(),x6(),I6(),W6(),UZ=($)=>{if(X9.webgpu.validateInputContent&&(!$||$.length!==1))throw Error("Pool ops requires 1 input.")},FN=($,j,O)=>{let G=j.format==="NHWC",Z=$.dims.slice();G&&Z.splice(1,0,Z.pop());let V=Object.hasOwnProperty.call(j,"dilations"),N=j.kernelShape.slice(),J=j.strides.slice(),R=V?j.dilations.slice():[],U=j.pads.slice();NV.adjustPoolAttributes(O,Z,N,J,R,U);let H=NV.computePoolOutputShape(O,Z,J,R,N,U,j.autoPad),L=Object.assign({},j);V?Object.assign(L,{kernelShape:N,strides:J,pads:U,dilations:R,cacheKey:j.cacheKey}):Object.assign(L,{kernelShape:N,strides:J,pads:U,cacheKey:j.cacheKey});let Y=H.slice();return Y.push(Y.splice(1,1)[0]),[L,G?Y:H]},yN=($,j)=>{let O=j.format==="NHWC",G=[{type:12,data:d0.size($)},{type:12,data:d0.size(j.kernelShape)}],Z=[{name:"outputSize",type:"u32"},{name:"kernelSize",type:"u32"}];if(j.kernelShape.length<=2){let V=j.kernelShape[j.kernelShape.length-1],N=j.strides[j.strides.length-1],J=j.pads[j.pads.length/2-1],R=j.pads[j.pads.length-1],U=!!(J+R);G.push({type:12,data:V},{type:12,data:N},{type:12,data:J},{type:12,data:R}),Z.push({name:"kw",type:"u32"},{name:"sw",type:"u32"},{name:"pwStart",type:"u32"},{name:"pwEnd",type:"u32"});let H=!1;if(j.kernelShape.length===2){let L=j.kernelShape[j.kernelShape.length-2],Y=j.strides[j.strides.length-2],S=j.pads[j.pads.length/2-2],X=j.pads[j.pads.length-2];H=!!(S+X),G.push({type:12,data:L},{type:12,data:Y},{type:12,data:S},{type:12,data:X}),Z.push({name:"kh",type:"u32"},{name:"sh",type:"u32"},{name:"phStart",type:"u32"},{name:"phEnd",type:"u32"})}return[G,Z,!0,U,H]}{if(O)throw Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let V=d0.computeStrides(j.kernelShape);return G.push({type:12,data:V},{type:12,data:j.pads},{type:12,data:j.strides}),Z.push({name:"kernelStrides",type:"u32",length:V.length},{name:"pads",type:"u32",length:j.pads.length},{name:"strides",type:"u32",length:j.strides.length}),[G,Z,!!j.pads.reduce((N,J)=>N+J),!1,!1]}},zN=($,j,O,G,Z,V,N,J,R,U,H,L)=>{let Y=Z.format==="NHWC",S=j.type.value,X=n5("output",j.type.tensor,G);if(Z.kernelShape.length<=2){let D="",I="",k="",z=O-(Y?2:1);if(D=H?` + for (var i: u32 = 0u; i < uniforms.kw; i++) { + xIndices[${z}] = indices[${z}] * uniforms.sw - uniforms.pwStart + i; + if (xIndices[${z}] < 0 || xIndices[${z}] + >= uniforms.x_shape[${z}]) { + pad++; + continue; + } + let x_val = x[${j.indicesToOffset("xIndices")}]; + ${V} + }`:` + for (var i: u32 = 0u; i < uniforms.kw; i++) { + xIndices[${z}] = indices[${z}] * uniforms.sw - uniforms.pwStart + i; + let x_val = x[${j.indicesToOffset("xIndices")}]; + ${V} + }`,Z.kernelShape.length===2){let w=O-(Y?3:2);I=L?` + for (var j: u32 = 0u; j < uniforms.kh; j++) { + xIndices[${w}] = indices[${w}] * uniforms.sh - uniforms.phStart + j; + if (xIndices[${w}] < 0 || xIndices[${w}] >= uniforms.x_shape[${w}]) { + pad += i32(uniforms.kw); + continue; + } + `:` + for (var j: u32 = 0u; j < uniforms.kh; j++) { + xIndices[${w}] = indices[${w}] * uniforms.sh - uniforms.phStart + j; + `,k=` + } + `}return` + ${$.registerUniforms(R).declareVariables(j,X)} + + ${$.mainStart()} + ${$.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + + let indices = ${X.offsetToIndices("global_idx")}; + var xIndices = ${X.offsetToIndices("global_idx")}; + + var value = ${S}(${J}); + var pad = 0; + ${I} + ${D} + ${k} + ${N} + + output[global_idx] = value; + }`}{if(Y)throw Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let D=Z.kernelShape.length,I=Z.pads.length,k="";return k=U?` + if (xIndices[j] >= uniforms.x_shape[j]) { + pad++; + isPad = true; + break; + } + } + if (!isPad) { + let x_val = x[${j.indicesToOffset("xIndices")}]; + ${V} + }`:` + } + let x_val = x[${j.indicesToOffset("xIndices")}]; + ${V} + `,` + ${$.registerUniforms(R).declareVariables(j,X)} + + ${$.mainStart()} + ${$.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + let indices = ${X.offsetToIndices("global_idx")}; + var xIndices = ${X.offsetToIndices("global_idx")}; + + var offsets: array; + + var value = ${S}(${J}); + var pad = 0; + var isPad = false; + + for (var i: u32 = 0u; i < uniforms.kernelSize; i++) { + var offset = i; + for (var j = 0u; j < ${D-1}u; j++) { + offsets[j] = offset / ${v6("uniforms.kernelStrides","j",D)}; + offset -= offsets[j] * ${v6("uniforms.kernelStrides","j",D)}; + } + offsets[${D-1}] = offset; + + isPad = false; + for (var j = ${O-D}u; j < ${O}u; j++) { + xIndices[j] = indices[j] * ${v6("uniforms.strides",`j - ${O-D}u`,D)} + + offsets[j - ${O-D}u] - ${v6("uniforms.pads","j - 2u",I)}; + ${k} + } + ${N} + + output[global_idx] = value; + }`}},kN=($)=>`${$.format};${$.ceilMode};${$.autoPad};${$.kernelShape.length}`,Ex=($)=>`${kN($)};${$.countIncludePad}`,Qx=($)=>`${kN($)};${$.storageOrder};${$.dilations}`,IN=($)=>({format:$.format,autoPad:["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][$.auto_pad],ceilMode:$.ceil_mode,kernelShape:$.kernel_shape,strides:$.strides,pads:$.pads}),DN=($,j,O,G)=>{let[Z,V]=FN(j,G,O),N=j5("x",j.dataType,j.dims.length),J=N.type.value,R="";Z.countIncludePad?R+=`value /= ${J}(uniforms.kernelSize);`:R+=`value /= ${J}(i32(uniforms.kernelSize) - 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J.push(...$6(j.dims,V)),{name:$,shaderCache:{hint:`${G.cacheKey};${U};${H};${L}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:V,dataType:j.dataType}],dispatchGroup:{x:Math.ceil(d0.size(V)/64)},programUniforms:J}),getShaderSource:(Y)=>zN(Y,N,j.dims.length,V.length,Z,` + value = max(x_val, value); + `,"",j.dataType===10?-65504:-1e5,R,U,H,L)}},yF=($,j)=>{UZ($.inputs),$.compute(MN("MaxPool",$.inputs[0],!1,j))},zF=($)=>{let{storage_order:j,dilations:O}=$,G=IN($);if(j!==0)throw Error("column major storage order is not yet supported for MaxPool");if(G.ceilMode!==0)throw Error("using ceil() in shape computation is not yet supported for MaxPool");let Z={storageOrder:j,dilations:O,...G,cacheKey:""};return{...Z,cacheKey:Qx(Z)}},kF=($)=>{let j=$.format;return{format:j,...WN,cacheKey:j}},IF=($,j)=>{UZ($.inputs),$.compute(MN("GlobalMaxPool",$.inputs[0],!0,j))}}),kW=k5(()=>{x6(),I6(),C9(),W6(),Cx=($,j)=>{if($.length<2||$.length>3)throw Error("DequantizeLinear requires 2 or 3 inputs.");if($.length===3&&$[1].dims===$[2].dims)throw Error("x-scale and x-zero-point must have the same shape.");if($.length===3&&$[0].dataType!==$[2].dataType)throw Error("x and x-zero-point must have the same data type.");if($[0].dataType===6&&$.length>2)throw Error("In the case of dequantizing int32 there is no zero point.");if($[1].dims.length!==0&&$[1].dims.length!==1&&$[1].dims.length!==$[0].dims.length)throw Error("scale input must be a scalar, a 1D tensor, or have the same rank as the input tensor.");if($.length>2){if($[0].dataType!==$[2].dataType)throw Error("x and x-zero-point must have the same data type.");if($[1].dims.length!==$[2].dims.length)throw Error("scale and zero-point inputs must have the same rank.");if(!$[1].dims.map((O,G)=>O===$[2].dims[G]).reduce((O,G)=>O&&G,!0))throw Error("scale and zero-point inputs must have the same shape.")}if(j.blockSize>0){if($[1].dims.length===0||$[1].dims.length===1&&$[1].dims[0]===1)throw Error("blockSize must be set only for 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0,E=n5("output",N,V.length,k),Q=[w,T];W&&Q.push(W);let A=[U,H];L&&A.push(Y);let l=[{type:12,data:J/k},{type:12,data:O},{type:12,data:j.blockSize},...$6(...A,V)];return{name:"DequantizeLinear",shaderCache:{hint:j.cacheKey,inputDependencies:W?["rank","rank","rank"]:["rank","rank"]},getShaderSource:(r)=>` + ${r.registerUniforms([{name:"output_size",type:"u32"},{name:"axis",type:"u32"},{name:"block_size",type:"u32"}]).declareVariables(...Q,E)} + ${r.mainStart()} + ${r.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let output_indices = ${E.offsetToIndices("global_idx")}; + + // Set input x + ${R?` + let input = ${w.getByOffset("global_idx / 4")}; + let x_vec = ${Z?"unpack4xI8(input)":"unpack4xU8(input)"}; + let x_value = ${k===1?"x_vec[global_idx % 4]":"x_vec"};`:`let x_value = ${w.getByOffset("global_idx")};`}; + + // Set scale input + ${S?`let scale_value= ${T.getByOffset("0")}`:X?` + let scale_index = ${E.indicesGet("output_indices","uniforms.axis")}; + let scale_value= ${T.getByOffset("scale_index")};`:` + var scale_indices: ${T.type.indices} = output_indices; + let index = ${T.indicesGet("scale_indices","uniforms.axis")} / uniforms.block_size; + ${T.indicesSet("scale_indices","uniforms.axis","index")}; + let scale_value= ${T.getByIndices("scale_indices")};`}; + + // Set zero-point input + ${W?S?R?` + let zero_point_input = ${W.getByOffset("0")}; + let zero_point_vec = ${Z?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"}; + let zero_point_value= zero_point_vec[0]`:`let zero_point_value = ${W.getByOffset("0")}`:X?R?` + let zero_point_index = ${E.indicesGet("output_indices","uniforms.axis")}; + let zero_point_input = ${W.getByOffset("zero_point_index / 4")}; + let zero_point_vec = ${Z?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"}; + let zero_point_value = zero_point_vec[zero_point_index % 4]`:` + let zero_point_index = ${E.indicesGet("output_indices","uniforms.axis")}; + let zero_point_value = ${W.getByOffset("zero_point_index")};`:R?` + let zero_point_offset = ${T.indicesToOffset("scale_indices")}; + let zero_point_input = ${W.getByOffset("zero_point_offset / 4")}; + let zero_point_vec = ${Z?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"}; + let zero_point_value = zero_point_vec[zero_point_offset % 4];`:`let zero_point_value = ${W.getByIndices("scale_indices")};`:`let zero_point_value = ${R?Z?"i32":"u32":w.type.value}(0);`}; + // Compute and write output + ${E.setByOffset("global_idx",`${E.type.value}(x_value - zero_point_value) * scale_value`)}; + }`,getRunData:()=>({outputs:[{dims:V,dataType:N}],dispatchGroup:{x:Math.ceil(J/k/64),y:1,z:1},programUniforms:l})}},DF=($,j)=>{Cx($.inputs,j),$.compute(Bx($.inputs,j))},WF=($)=>$9({axis:$.axis,blockSize:$.blockSize})}),IW=k5(()=>{w3(),x6(),W6(),hx=($,j,O)=>{if($===j||$j&&O>0)throw Error("Range these inputs' contents are invalid.")},cx=($,j,O,G)=>{let Z=Math.abs(Math.ceil((j-$)/O)),V=[Z],N=Z,J=[{type:12,data:N},{type:G,data:$},{type:G,data:O},...$6(V)];return{name:"Range",shaderCache:{hint:`${G}`},getShaderSource:(R)=>{let U=n5("output",G,V.length),H=U.type.value,L=[{name:"outputSize",type:"u32"},{name:"start",type:H},{name:"delta",type:H}];return` + ${R.registerUniforms(L).declareVariables(U)} + ${R.mainStart()} + ${R.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + output[global_idx] = uniforms.start + ${H}(global_idx) * uniforms.delta; + }`},getRunData:()=>({outputs:[{dims:V,dataType:G}],dispatchGroup:{x:Math.ceil(N/64)},programUniforms:J})}},MF=($)=>{let j=0,O=0,G=0;$.inputs[0].dataType===6?(j=$.inputs[0].getInt32Array()[0],O=$.inputs[1].getInt32Array()[0],G=$.inputs[2].getInt32Array()[0]):$.inputs[0].dataType===1&&(j=$.inputs[0].getFloat32Array()[0],O=$.inputs[1].getFloat32Array()[0],G=$.inputs[2].getFloat32Array()[0]),X9.webgpu.validateInputContent&&hx(j,O,G),$.compute(cx(j,O,G,$.inputs[0].dataType),{inputs:[]})}}),DW=k5(()=>{x6(),I6(),C9(),W6(),mx=($,j,O,G)=>{if($!=="none"&&G!=="i32"&&G!=="u32"&&G!=="f32")throw Error(`Input ${G} is not supported with reduction ${$}.`);let Z=`{ + var oldValue = 0; + loop { + let newValueF32 =`,V=`; + let newValue = bitcast(newValueF32); + let res = atomicCompareExchangeWeak(&${j}, oldValue, newValue); + if res.exchanged { + break; + } + oldValue = res.old_value; + } + }`;switch($){case"none":return`${j}=${O};`;case"add":return G==="i32"||G==="u32"?`atomicAdd(&${j}, bitcast<${G}>(${O}));`:` + ${Z}bitcast<${G}>(oldValue) + (${O})${V}`;case"max":return G==="i32"||G==="u32"?`atomicMax(&${j}, bitcast<${G}>(${O}));`:` + ${Z}max(bitcast(oldValue), (${O}))${V}`;case"min":return G==="i32"||G==="u32"?`atomicMin(&${j}, bitcast<${G}>(${O}));`:`${Z}min(bitcast<${G}>(oldValue), (${O}))${V}`;case"mul":return`${Z}(bitcast<${G}>(oldValue) * (${O}))${V}`;default:throw Error(`Reduction ${$} is not supported.`)}},KN=($,j)=>($===1?` + let element_count_dim = uniforms.output_strides; + let dim_value = uniforms.output_shape;`:` + let element_count_dim = uniforms.output_strides[${j?"i - indices_start":"i"}]; + let dim_value = uniforms.output_shape[${j?"i - indices_start":"i"} + uniforms.last_index_dimension];`)+` + + if (index >= 0) { + if (index >= i32(dim_value)) { + index = i32(dim_value - 1); + } + } else { + if (index < -i32(dim_value)) { + index = 0; + } else { + index += i32(dim_value); + } + } + data_offset += u32((u32(index) * element_count_dim));`,bN=($,j,O)=>`for (var i = 0u; i < uniforms.num_updates_elements; i++) { + let value = updates[uniforms.num_updates_elements * ${O?"global_idx":"idx"} + i]; + ${mx($.reduction,"output[data_offset + i]","value",j)} + }`,px=($,j)=>{let O=$[0].dims,G=$[1].dims,Z=O,V=Math.ceil(d0.size(G)/1),N=G[G.length-1],J=d0.sizeFromDimension(O,N),R=d0.sizeFromDimension(G,0)/N,U=[{type:12,data:V},{type:12,data:N},{type:12,data:J},...$6($[1].dims,$[2].dims,Z)];return{name:"ScatterND",shaderCache:{hint:`${j.cacheKey}_${j.reduction}`,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:Z,dataType:$[0].dataType}],dispatchGroup:{x:Math.ceil(V/64)},programUniforms:U}),getShaderSource:(H)=>{let L=j5("indices",$[1].dataType,$[1].dims.length),Y=j5("updates",$[2].dataType,$[2].dims.length,1),S=j.reduction!=="none"&&j.reduction!==""?NX("output",$[0].dataType,Z.length):n5("output",$[0].dataType,Z.length,1);return` + ${H.registerUniform("output_size","u32").registerUniform("last_index_dimension","u32").registerUniform("num_updates_elements","u32").declareVariables(L,Y,S)} + ${H.mainStart()} + ${H.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + var hasDuplicates = false; + if (${j.reduction==="none"}) { + for (var i = 0; i < ${R}; i = i + 1) { + for (var j = i + 1; j < ${R}; j = j + 1) { + var index_i = i32(indices[i].x); + var index_j = i32(indices[j].x); + if (index_i == index_j) { + hasDuplicates = true; + break; + } + } + if (hasDuplicates) { + break; + } + } + } + + if (${j.reduction==="none"} && hasDuplicates) { + if (global_idx != 0u) { + return; + } + // Process each index-update pair individually when duplicates exist + for (var idx = 0u; idx < ${R}u; idx++) { + var data_offset = 0u; + for (var i = 0u; i < uniforms.last_index_dimension; i++) { + var index = i32(indices[idx * uniforms.last_index_dimension + i].x); + ${KN(O.length,!1)} + } + ${bN(j,S.type.value,!1)} + } + return; + } + + var data_offset = 0u; + var indices_start = uniforms.last_index_dimension * global_idx; + var indices_end = indices_start + uniforms.last_index_dimension; + for (var i = indices_start; i < indices_end; i++) { + var index = i32(indices[i].x); + ${KN(O.length,!0)} + } + ${bN(j,S.type.value,!0)} + }`}}},KF=($)=>$9({reduction:$.reduction}),bF=($,j)=>{$.compute(px($.inputs,j),{inputs:[$.inputs[1],$.inputs[2]],outputs:[]})}}),WW=k5(()=>{x6(),I6(),C9(),W6(),Ax=($,j)=>{if($.every((O)=>O>0||(()=>{throw Error("Resize requires scales input values to be positive")})),$.length>0){if(j.mode==="linear"){if(!($.length===2||$.length===3||$.length===4&&$[0]===1&&$[1]===1||$.length===4&&$[0]===1&&$[3]===1||$.length===5&&$[0]===1&&$[1]===1))throw Error(`For linear mode, Resize requires scales to be 2D, 3D, 4D with either two outermost or one innermost and + one outermost scale values equal to 1, or 5D with two outermost scale values equal to 1`)}else if(j.mode==="cubic"&&!($.length===2||$.length===4&&$[0]===1&&$[1]===1||$.length===4&&$[0]===1&&$[3]===1))throw Error("Resize requires scales input size to be 2 or 4 for cubic mode")}},gx=($,j,O)=>{j.every((Z)=>Z>=0&&Z{throw Error("Resize requires axes input values to be positive and less than rank")}));let G=Array(O).fill(1);return j.forEach((Z,V)=>G[Z]=$[V]),G},ux=($,j,O,G,Z,V)=>{let[N,J,R]=O>10?[1,2,3]:[-1,$.length>1?1:-1,-1],U=$[0].dims.length;if(N>0&&$.length>N&&$[N].dims.length>0)$[N].getFloat32Array().forEach((H)=>V.push(H));else if(j.coordinateTransformMode==="tf_crop_and_resize")throw Error("Resize requires RoI input to be specified when coordinateTransformMode is tfCropAndResize");if(J>0&&$.length>J&&$[J].dims.length===1&&$[J].dims[0]>0){if($[J].getFloat32Array().forEach((H)=>G.push(H)),G.length!==0&&G.length!==U&&O>=18&&G.length!==j.axes.length)throw Error("Resize requires scales input size to be same as input rank or axes size for opset 18 and up");Ax(G,j),j.axes.length>0&&gx(G,j.axes,U).forEach((H,L)=>G[L]=H)}if(R>0&&$.length>R&&$[R].dims.length===1&&$[R].dims[0]>0&&($[R].getBigInt64Array().forEach((H)=>Z.push(Number(H))),Z.length!==0&&Z.length!==U&&O>=18&&Z.length!==j.axes.length))throw Error("Resize requires sizes input size to be same as input rank or axes size for opset 18 and up");if(j.axes.length>0){if(G.length!==0&&G.length!==j.axes.length)throw Error('Resize requires "scales" input size to be of axes rank when axes attributes is specified');if(Z.length!==0&&Z.length!==j.axes.length)throw Error('Resize requires "sizes" input size to be of rank axes rank when axes attributes is specified')}if(typeof G<"u"&&typeof Z<"u"&&G.length>0&&Z.length>U)throw Error("Resize requires only of scales or sizes to be specified")},fN=($,j,O,G)=>` + // The whole part and the fractional part are calculated separately due to inaccuracy of floating + // point division. As an example, f32(21) / f32(7) may evaluate to 2.99... instead of 3, causing an + // offset-by-one error later in floor(). + let big = (${$}) * (${j}); + let whole = ${G}(big / (${O})); + let fract = ${G}(big % (${O})) / ${G}(${O}); + return whole + fract; +`,dx=($,j)=>`fn getOriginalCoordinateFromResizedCoordinate(xResized: u32, xScale: f32, lengthResized: u32, + lengthOriginal: u32, roiStart: f32, roiEnd: f32) -> ${j} { `+(()=>{switch($){case"asymmetric":return` + if (xScale < 1.0 || floor(xScale) != xScale) { + return ${j}(xResized) / ${j}(xScale); + } else { + ${fN("xResized","lengthOriginal","lengthResized",j)} + } + `;case"pytorch_half_pixel":return`if (lengthResized > 1) { + return (${j}(xResized) + 0.5) / ${j}(xScale) - 0.5; + } else { + return 0.0; + }`;case"tf_half_pixel_for_nn":return`return (${j}(xResized) + 0.5) / ${j}(xScale);`;case"align_corners":return`if (lengthResized == 1) { + return 0.0; + } else { + ${fN("xResized","lengthOriginal - 1","lengthResized - 1",j)} + }`;case"tf_crop_and_resize":return`if (lengthResized > 1) { + return ${j}(roiStart) * ${j}(lengthOriginal - 1) + + (${j}(xResized) * ${j}(roiEnd - roiStart) * ${j}(lengthOriginal - 1)) / + ${j}(lengthResized - 1); + } else { + return 0.5 * ${j}(roiStart + roiEnd) * ${j}(lengthOriginal - 1); + }`;case"half_pixel_symmetric":return`const outputWidth = ${j}xScale * ${j}(lengthResized); + const adjustment = ${j}(lengthResized) / outputWidth; + const center = ${j}(lengthOriginal) / 2; + const offset = center * (1 - adjustment); + return offset + ((${j}(xResized) + 0.5) / ${j}(xScale)) - 0.5;`;case"half_pixel":return`return ((${j}(xResized) + 0.5) / ${j}(xScale)) - 0.5;`;default:throw Error(`Coordinate transform mode ${$} is not supported`)}})()+"}",lx=($,j,O)=>`fn getNearestPixelFromOriginal(xOriginal: ${O}, isDownSample: bool) -> ${O} {`+(()=>{switch($){case"round_prefer_ceil":return"if (fract(xOriginal) == 0.5) { return ceil(xOriginal); } else { return round(xOriginal); }";case"floor":return"return floor(xOriginal);";case"ceil":return"return ceil(xOriginal);";case"round_prefer_floor":return"if (fract(xOriginal) == 0.5) { return floor(xOriginal); } else { return round(xOriginal); }";default:if(j<11)return"if (isDownSample) { return ceil(xOriginal); } else { return xOriginal; }";throw Error(`Nearest mode ${$} is not supported`)}})()+"}",ox=($,j,O)=>{let G=Array(O).fill(0).concat(Array(O).fill(1)),Z=$.length===0?G:$.slice();return j.length>0?(j.forEach((V,N)=>{G[V]=Z[N],G[N+O]=Z[j.length+N]}),G):Z},sx=($,j,O,G)=>{let Z=[];if(O.length>0)if(G.length>0){if($.forEach((V)=>Z.push(V)),Math.max(...G)>$.length)throw Error("axes is out of bound");G.forEach((V,N)=>Z[V]=O[N])}else O.forEach((V)=>Z.push(V));else{if(j.length===0)throw Error("Resize requires either scales or sizes.");Z=$.map((V,N)=>Math.round(V*j[N]))}return Z},ix=($,j,O)=>{let G=(()=>{switch(O.keepAspectRatioPolicy){case"not_larger":return O.axes.length>0?Math.min(...O.axes.map((V)=>j[V]),Number.MAX_VALUE):Math.min(...j,Number.MAX_VALUE);case"not_smaller":return O.axes.length>0?Math.max(...O.axes.map((V)=>j[V]),Number.MIN_VALUE):Math.max(...j,Number.MIN_VALUE);default:throw Error(`Keep aspect ratio policy ${O.keepAspectRatioPolicy} is not supported`)}})();j.fill(1,0,j.length);let Z=$.slice();return O.axes.length>0?(O.axes.forEach((V)=>j[V]=G),O.axes.forEach((V)=>Z[V]=Math.round($[V]*j[V]))):(j.fill(G,0,j.length),Z.forEach((V,N)=>Z[N]=Math.round(V*j[N]))),Z},ax=($,j,O,G,Z)=>` + fn calculateOriginalIndicesFromOutputIndices(output_indices: ${$.type.indices}) -> array<${$.type.value}, ${O.length}> { + var original_indices: array<${$.type.value}, ${O.length}>; + for (var i:u32 = 0; i < ${O.length}; i++) { + var output_index = ${$.indicesGet("output_indices","i")}; + var scale = ${v6("uniforms.scales","i",G)}; + var roi_low = ${v6("uniforms.roi","i",Z)}; + var roi_hi = ${v6("uniforms.roi",`i + ${j.length}`,Z)}; + if (scale == 1.0) { + original_indices[i] = ${$.type.value}(output_index); + } else { + var input_shape_i = ${v6("uniforms.input_shape","i",j.length)}; + var output_shape_i = ${v6("uniforms.output_shape","i",O.length)}; + original_indices[i] = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i, + input_shape_i, roi_low, roi_hi); + } + } + return original_indices; + }`,rx=($,j,O,G,Z,V,N)=>` + fn calculateInputIndicesFromOutputIndices(output_indices: ${j.type.indices}) -> ${$.type.indices} { + var input_indices: ${$.type.indices}; + for (var i:u32 = 0; i < ${G.length}; i++) { + var output_index = ${j.indicesGet("output_indices","i")}; + var input_index: u32; + var scale = ${v6("uniforms.scales","i",Z)}; + if (scale == 1.0) { + input_index = output_index; + } else { + var roi_low = ${v6("uniforms.roi","i",V)}; + var roi_hi = ${v6("uniforms.roi",`i + ${O.length}`,V)}; + var input_shape_i = ${v6("uniforms.input_shape","i",O.length)}; + var output_shape_i = ${v6("uniforms.output_shape","i",G.length)}; + var original_idx = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i, + input_shape_i, roi_low, roi_hi); + if (!${N} || (original_idx >= 0 && original_idx < ${j.type.value}(input_shape_i))) { + if (original_idx < 0) { + input_index = 0; + } else if (original_idx > ${j.type.value}(input_shape_i - 1)) { + input_index = input_shape_i - 1; + } else { + input_index = u32(getNearestPixelFromOriginal(original_idx, scale < 1)); + } + } else { + input_index = u32(original_idx); + } + } + ${$.indicesSet("input_indices","i","input_index")} + } + return input_indices; + }`,nx=($,j)=>` + fn checkInputIndices(input_indices: ${$.type.indices}) -> bool { + for (var i:u32 = 0; i < ${j.length}; i++) { + var input_index = ${$.indicesGet("input_indices","i")}; + if (input_index < 0 || input_index >= ${v6("uniforms.input_shape","i",j.length)}) { + return false; + } + } + return true; + }`,wN=($,j,O,G)=>$.rank>G?` + ${$.indicesSet("input_indices",j,"channel")}; + ${$.indicesSet("input_indices",O,"batch")}; +`:"",tx=($,j,O,G,Z)=>{let[V,N,J,R]=O.length===2?[-1,0,1,-1]:[0,2,3,1],U=$.type.value;return` + fn getInputValue(batch: u32, channel: u32, row: u32, col: u32) -> ${U} { + var input_indices: ${$.type.indices}; + ${$.indicesSet("input_indices",N,`max(0, min(row, ${O[N]} - 1))`)}; + ${$.indicesSet("input_indices",J,`max(0, min(col, ${O[J]} - 1))`)}; + ${wN($,R,V,2)} + return ${$.getByIndices("input_indices")}; + } + + fn bilinearInterpolation(output_indices: ${j.type.indices}) -> ${U} { + var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices); + var row:${U} = originalIndices[${N}]; + var col:${U} = originalIndices[${J}]; + ${G?`if (row < 0 || row > (${O[N]} - 1) || col < 0 || col > (${O[J]} - 1)) { + return ${Z}; + }`:""}; + row = max(0, min(row, ${O[N]} - 1)); + col = max(0, min(col, ${O[J]} - 1)); + var row1: u32 = u32(row); + var col1: u32 = u32(col); + var row2: u32 = u32(row + 1); + var col2: u32 = u32(col + 1); + var channel: u32 = ${O.length>2?`u32(originalIndices[${R}])`:"0"}; + var batch: u32 = ${O.length>2?`u32(originalIndices[${V}])`:"0"}; + var x11: ${U} = getInputValue(batch, channel, row1, col1); + var x12: ${U} = getInputValue(batch, channel, row1, col2); + var x21: ${U} = getInputValue(batch, channel, row2, col1); + var x22: ${U} = getInputValue(batch, channel, row2, col2); + var dx1: ${U} = abs(row - ${U}(row1)); + var dx2: ${U} = abs(${U}(row2) - row); + var dy1: ${U} = abs(col - ${U}(col1)); + var dy2: ${U} = abs(${U}(col2) - col); + if (row1 == row2) { + dx1 = 0.5; + dx2 = 0.5; + } + if (col1 == col2) { + dy1 = 0.5; + dy2 = 0.5; + } + return (x11 * dx2 * dy2 + x12 * dx2 * dy1 + x21 * dx1 * dy2 + x22 * dx1 * dy1); + }`},ex=($,j,O,G,Z,V,N,J,R,U)=>{let H=O.length===2,[L,Y]=H?[0,1]:[2,3],S=$.type.value,X=(D)=>{let I=D===L?"row":"col";return` + fn ${I}CubicInterpolation(input_indices: ${$.type.indices}, output_indices: ${j.type.indices}) -> ${S} { + var output_index = ${j.indicesGet("output_indices",D)}; + var originalIdx: ${S} = getOriginalCoordinateFromResizedCoordinate(output_index, ${Z[D]}, + ${G[D]}, ${O[D]}, ${V[D]}, ${V[D]} + ${O.length}); + var fractOriginalIdx: ${S} = originalIdx - floor(originalIdx); + var coefs = getCubicInterpolationCoefs(fractOriginalIdx); + + if (${J} && (originalIdx < 0 || originalIdx > (${O[D]} - 1))) { + return ${R}; + } + var data: array<${S}, 4> = array<${S}, 4>(0.0, 0.0, 0.0, 0.0); + for (var i: i32 = -1; i < 3; i++) { + var ${I}: ${S} = originalIdx + ${S}(i); + if (${I} < 0 || ${I} >= ${O[D]}) { + ${U?`coefs[i + 1] = 0.0; + continue;`:J?`return ${R};`:`${I} = max(0, min(${I}, ${O[D]} - 1));`}; + } + var input_indices_copy: ${$.type.indices} = input_indices; + ${$.indicesSet("input_indices_copy",D,`u32(${I})`)}; + data[i + 1] = ${D===L?$.getByIndices("input_indices_copy"):"rowCubicInterpolation(input_indices_copy, output_indices)"}; + } + return cubicInterpolation1D(data, coefs); + }`};return` + ${X(L)}; + ${X(Y)}; + fn getCubicInterpolationCoefs(s: ${S}) -> array<${S}, 4> { + var absS = abs(s); + var coeffs: array<${S}, 4> = array<${S}, 4>(0.0, 0.0, 0.0, 0.0); + var oneMinusAbsS: ${S} = 1.0 - absS; + var twoMinusAbsS: ${S} = 2.0 - absS; + var onePlusAbsS: ${S} = 1.0 + absS; + coeffs[0] = ((${N} * onePlusAbsS - 5 * ${N}) * onePlusAbsS + 8 * ${N}) * onePlusAbsS - 4 * ${N}; + coeffs[1] = ((${N} + 2) * absS - (${N} + 3)) * absS * absS + 1; + coeffs[2] = ((${N} + 2) * oneMinusAbsS - (${N} + 3)) * oneMinusAbsS * oneMinusAbsS + 1; + coeffs[3] = ((${N} * twoMinusAbsS - 5 * ${N}) * twoMinusAbsS + 8 * ${N}) * twoMinusAbsS - 4 * ${N}; + return coeffs; + } + + fn cubicInterpolation1D(x: array<${S}, 4>, coefs: array<${S}, 4>) -> ${S} { + var coefsSum: ${S} = coefs[0] + coefs[1] + coefs[2] + coefs[3]; + return (x[0] * coefs[0] + x[1] * coefs[1]+ x[2] * coefs[2]+ x[3] * coefs[3]) / coefsSum; + } + + fn bicubicInterpolation(output_indices: ${j.type.indices}) -> ${S} { + var input_indices: ${$.type.indices} = output_indices; + return colCubicInterpolation(input_indices, output_indices); + } + `},$L=($,j,O,G,Z)=>{let[V,N,J,R,U]=O.length===3?[-1,0,1,2,-1]:[0,2,3,4,1],H=$.type.value;return` + fn getInputValue(batch: u32, channel: u32, depth:u32, height: u32, width: u32) -> ${H} { + var input_indices: ${$.type.indices}; + ${$.indicesSet("input_indices",N,`max(0, min(depth, ${O[N]} - 1))`)}; + ${$.indicesSet("input_indices",J,`max(0, min(height, ${O[J]} - 1))`)}; + ${$.indicesSet("input_indices",R,`max(0, min(width, ${O[R]} - 1))`)}; + ${wN($,U,V,3)} + return ${$.getByIndices("input_indices")}; + } + + fn trilinearInterpolation(output_indices: ${j.type.indices}) -> ${H} { + var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices); + var depth:${H} = originalIndices[${N}]; + var height:${H} = originalIndices[${J}]; + var width:${H} = originalIndices[${R}]; + ${G?`if (depth < 0 || depth > (${O[N]} - 1) || height < 0 || height > (${O[J]} - 1) || width < 0 || (width > ${O[R]} - 1)) { + return ${Z}; + }`:""}; + + depth = max(0, min(depth, ${O[N]} - 1)); + height = max(0, min(height, ${O[J]} - 1)); + width = max(0, min(width, ${O[R]} - 1)); + var depth1: u32 = u32(depth); + var height1: u32 = u32(height); + var width1: u32 = u32(width); + var depth2: u32 = u32(depth + 1); + var height2: u32 = u32(height + 1); + var width2: u32 = u32(width + 1); + var channel: u32 = ${O.length>3?`u32(originalIndices[${U}])`:"0"}; + var batch: u32 = ${O.length>3?`u32(originalIndices[${V}])`:"0"}; + + var x111: ${H} = getInputValue(batch, channel, depth1, height1, width1); + var x112: ${H} = getInputValue(batch, channel, depth1, height1, width2); + var x121: ${H} = getInputValue(batch, channel, depth1, height2, width1); + var x122: ${H} = getInputValue(batch, channel, depth1, height2, width2); + var x211: ${H} = getInputValue(batch, channel, depth2, height1, width1); + var x212: ${H} = getInputValue(batch, channel, depth2, height1, width2); + var x221: ${H} = getInputValue(batch, channel, depth2, height2, width1); + var x222: ${H} = getInputValue(batch, channel, depth2, height2, width2); + var dx1: ${H} = abs(depth - ${H}(depth1)); + var dx2: ${H} = abs(${H}(depth2) - depth); + var dy1: ${H} = abs(height - ${H}(height1)); + var dy2: ${H} = abs(${H}(height2) - height); + var dz1: ${H} = abs(width - ${H}(width1)); + var dz2: ${H} = abs(${H}(width2) - width); + if (depth1 == depth2) { + dx1 = 0.5; + dx2 = 0.5; + } + if (height1 == height2) { + dy1 = 0.5; + dy2 = 0.5; + } + if (width1 == width2) { + dz1 = 0.5; + dz2 = 0.5; + } + return (x111 * dx2 * dy2 * dz2 + x112 * dx2 * dy2 * dz1 + x121 * dx2 * dy1 *dz2 + x122 * dx2 * dy1 * dz1 + + x211 * dx1 * dy2 * dz2 + x212 * dx1 * dy2 * dz1 + x221 * dx1 * dy1 *dz2 + x222 * dx1 * dy1 * dz1); + }`},jL=($,j,O,G,Z,V)=>{let N=$.dims,J=ox(V,j.axes,N.length),R=sx(N,G,Z,j.axes),U=G.slice();G.length===0&&(U=N.map((k,z)=>k===0?1:R[z]/k),j.keepAspectRatioPolicy!=="stretch"&&(R=ix(N,U,j)));let H=n5("output",$.dataType,R.length),L=j5("input",$.dataType,N.length),Y=d0.size(R),S=N.length===R.length&&N.every((k,z)=>k===R[z]),X=j.coordinateTransformMode==="tf_crop_and_resize",D=j.extrapolationValue,I=L.type.value;return{name:"Resize",shaderCache:{hint:`${j.cacheKey}|${O}|${U.length>0?j.mode==="cubic"?U:U.length:""}|${Z.length>0?Z:""}|${J.length>0?J:""}|${S}|${j.mode==="nearest"?N.length:N}`,inputDependencies:["rank"]},getShaderSource:(k)=>` + ${S?"":` + ${dx(j.coordinateTransformMode,I)}; + ${(()=>{switch(j.mode){case"nearest":return` + ${nx(L,N)}; + ${lx(j.nearestMode,O,I)}; + ${rx(L,H,N,R,U.length,J.length,X)}; + `;case"linear":return` + ${ax(H,N,R,U.length,J.length)}; + ${(()=>{if(N.length===2||N.length===4)return`${tx(L,H,N,X,D)}`;if(N.length===3||N.length===5)return`${$L(L,H,N,X,D)}`;throw Error("Linear mode only supports input dims 2, 3, 4 and 5 are supported in linear mode.")})()}; + `;case"cubic":return` + ${(()=>{if(N.length===2||N.length===4)return`${ex(L,H,N,R,U,J,j.cubicCoeffA,X,j.extrapolationValue,j.excludeOutside)}`;throw Error("Cubic mode only supports input dims 2 and 4 are supported in linear mode.")})()}; + `;default:throw Error("Invalid resize mode")}})()}; + `} + ${k.registerUniform("output_size","u32").registerUniform("scales","f32",U.length).registerUniform("roi","f32",J.length).declareVariables(L,H)} + ${k.mainStart()} + ${k.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + ${S?"output[global_idx] = input[global_idx];":` + let output_indices = ${H.offsetToIndices("global_idx")}; + var input_indices: ${L.type.indices}; + ${(()=>{switch(j.mode){case"nearest":return`input_indices = calculateInputIndicesFromOutputIndices(output_indices); + if (checkInputIndices(input_indices)) { + output[global_idx] = ${L.getByIndices("input_indices")}; + } else { + output[global_idx] = ${j.extrapolationValue}; + }`;case"linear":return`output[global_idx] = ${N.length===2||N.length===4?"bilinearInterpolation":"trilinearInterpolation"}(output_indices);`;case"cubic":return"output[global_idx] = bicubicInterpolation(output_indices);";default:throw Error(`Unsupported resize mode: ${j.mode}`)}})()}; +`} + }`,getRunData:()=>({outputs:[{dims:R,dataType:$.dataType}],dispatchGroup:{x:Math.ceil(Y/64)},programUniforms:[{type:12,data:Y},{type:1,data:U},{type:1,data:J},...$6(N,R)]})}},OL=($)=>{let j=$.customDataBuffer;return new Uint32Array(j,j.byteOffset,1)[0]},fF=($,j)=>{let O=[],G=[],Z=[],V=OL($);if(j.antialias!==0)throw Error("Only default value (0) for Antialias attribute is supported");ux($.inputs,j,V,O,G,Z),$.compute(jL($.inputs[0],j,V,O,G,Z),{inputs:[0]})},wF=($)=>{let{antialias:j,axes:O,coordinateTransformMode:G,cubicCoeffA:Z}=$,V=$.excludeOutside!==0,N=$.extrapolationValue,J=$.keepAspectRatioPolicy,R=$.mode,U=$.nearestMode===""?"simple":$.nearestMode;return 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W=[j5("x",$[0].dataType,$[0].dims,k),j5("skip",$[1].dataType,$[1].dims,k),j5("gamma",$[2].dataType,$[2].dims,k)];L&&W.push(j5("beta",$[3].dataType,$[3].dims,k)),Y&&W.push(j5("bias",$[4].dataType,$[4].dims,k)),W.push(n5("output",$[0].dataType,J,k)),S&&W.push(n5("mean_output",1,H)),X&&W.push(n5("inv_std_output",1,H)),D&&W.push(n5("input_skip_bias_sum",$[0].dataType,J,k));let E=G1($[0].dataType),Q=G1(1,k);return` + + ${T.registerUniforms([{name:"output_size",type:"u32"},{name:"components",type:"u32"},{name:"hidden_size",type:"u32"},{name:"epsilon",type:"f32"}]).declareVariables(...W)} + var sum_shared : array<${Q}, 64>; + var sum_squared_shared : array<${Q}, 64>; + + ${T.mainStart([I,1,1])} + let ix = local_id.x; + let iy = global_id.x / 64; + + let hidden_size_vectorized: u32 = uniforms.hidden_size / uniforms.components; + var stride = hidden_size_vectorized / 64; + let offset = ix * stride + iy * hidden_size_vectorized; + let offset1d = stride * ix; + if (ix == 63) { + stride = hidden_size_vectorized - stride * ix; + } + for (var i: u32 = 0; i < stride; i++) { + let skip_value = skip[offset + i]; + let bias_value = ${Y?"bias[offset1d + i]":E+"(0.0)"}; + let input_value = x[offset + i]; + let value = input_value + skip_value + bias_value; + ${D?"input_skip_bias_sum[offset + i] = value;":""} + output[offset + i] = value; + let f32_value = ${FG(E,k,"value")}; + sum_shared[ix] += f32_value; + sum_squared_shared[ix] += f32_value * f32_value; + } + workgroupBarrier(); + + var reduce_size : u32 = 64; + for (var curr_size = reduce_size >> 1; curr_size > 0; curr_size = reduce_size >> 1) { + reduce_size = curr_size + (reduce_size & 1); + if (ix < curr_size) { + sum_shared[ix] += sum_shared[ix + reduce_size]; + sum_squared_shared[ix] += sum_squared_shared[ix + reduce_size]; + } + workgroupBarrier(); + } + + let sum = sum_shared[0]; + let square_sum = sum_squared_shared[0]; + let mean = ${V7("sum",k)} / f32(uniforms.hidden_size); + let inv_std_dev = inverseSqrt(${V7("square_sum",k)} / f32(uniforms.hidden_size) ${Z?"":"- mean * mean"} + uniforms.epsilon); + ${S?"mean_output[global_idx] = mean;":""} + ${X?"inv_std_output[global_idx] = inv_std_dev;":""} + + for (var i: u32 = 0; i < stride; i++) { + output[offset + i] = (output[offset + i] ${Z?"":`- ${E}(mean)`}) * + ${E}(inv_std_dev) * gamma[offset1d + i] + ${L?"+ beta[offset1d + i]":""}; + } + }`},getRunData:()=>({outputs:w,dispatchGroup:{x:Math.ceil(R/U)},programUniforms:z})}},EF=($,j)=>{GL($.inputs);let O=[0];$.outputCount>1&&O.push(-3),$.outputCount>2&&O.push(-3),$.outputCount>3&&O.push(3),$.compute(ZL($.inputs,j,$.outputCount,!1),{outputs:O})}}),KW=k5(()=>{x6(),I6(),C9(),W6(),qL=($,j)=>{if(!$||$.length<1)throw Error("too few inputs");if(j.axes.length!==0){if(j.axes.length!==j.starts.length||j.axes.length!==j.ends.length)throw Error("axes, starts and ends must have the same length")}else if(j.starts.length!==j.ends.length)throw Error("starts and ends must have the same 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${v6("uniforms.steps","i",O.length)}; + let signs_i = ${v6("uniforms.signs","i",O.length)}; + let starts_i = ${v6("uniforms.starts","i",O.length)}; + var output_index = ${j.indicesGet("output_indices","i")}; + var input_index = output_index * steps_i + starts_i + carry; + carry = input_index / input_shape_i; + input_index = input_index % input_shape_i; + if (signs_i < 0) { + input_index = input_shape_i - input_index - 1u + starts_i; + } + ${$.indicesSet("input_indices","i","input_index")}; + } + return input_indices; + }`,JL=($,j)=>{let O=$[0].dims,G=d0.size(O),Z=j.axes.length>0?d0.normalizeAxes(j.axes,O.length):[...Array(O.length).keys()],V=HZ($,4);V.forEach((I)=>I!==0||(()=>{throw Error("step cannot be 0")})),V.length===0&&(V=Array(Z.length).fill(1));let N=j.starts.map((I,k)=>EN(I,k,O,Z,V)),J=j.ends.map((I,k)=>EN(I,k,O,Z,V));if(Z.length!==N.length||Z.length!==J.length)throw Error("start, ends and axes should have the same number of elements");if(Z.length!==O.length)for(let 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${L.setByOffset("global_idx",Y.getByIndices("input_indices"))} + }`,getRunData:()=>({outputs:[H],dispatchGroup:{x:Math.ceil(G/64)},programUniforms:D})}},QF=($,j)=>{qL($.inputs,j);let O=VL($.inputs,j);$.compute(JL($.inputs,O),{inputs:[0]})},CF=($)=>{let{starts:j,ends:O,axes:G}=$;return $9({starts:j,ends:O,axes:G})}}),bW=k5(()=>{x6(),I6(),C9(),J7(),W6(),vL=($)=>{if(!$||$.length!==1)throw Error("Softmax op requires 1 input.")},RL=($,j)=>{let O,G=$.inputs[0],Z=G.dims,V=d0.size(Z),N=Z.length,J=d0.normalizeAxis(j.axis,N),R=JE),U[J]=N-1,U[N-1]=J,O=$.compute(P2(G,U),{inputs:[G],outputs:[-1]})[0]):O=G;let H=O.dims,L=H[N-1],Y=V/L,S=M9(L),X=L/S,D=64;Y===1&&(D=256);let I=j5("x",O.dataType,O.dims,S),k=n5("result",O.dataType,O.dims,S),z=I.type.value,w=G1(O.dataType)==="f32"?`var threadMax = ${z}(-3.402823e+38f);`:`var threadMax = 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threadMax = max(threadMax, value); + } + if (lindex < cols) { + threadShared[lindex] = threadMax; + } + workgroupBarrier(); + + var reduceSize = min(cols, wg); + for (var currSize = reduceSize >> 1; currSize > 0; currSize = reduceSize >> 1) { + reduceSize = currSize + (reduceSize & 1); + if (lindex < currSize) { + threadShared[lindex] = max(threadShared[lindex], threadShared[lindex + reduceSize]); + } + workgroupBarrier(); + } + if (lindex == 0) { + rowMaxShared = ${z}(${((E,Q)=>Q===4?`max(max(${E}.x, ${E}.y), max(${E}.z, ${E}.w))`:Q===2?`max(${E}.x, ${E}.y)`:Q===3?`max(max(${E}.x, ${E}.y), ${E}.z)`:E)("threadShared[0]",S)}); + } + workgroupBarrier(); + + // find the rows sum + var threadSum = ${z}(0.0); + for (var col = lindex; col < cols; col += wg) { + let subExp = exp(getValue(row, col, row_stride) - rowMaxShared); + threadSum += subExp; + } + threadShared[lindex] = threadSum; + workgroupBarrier(); + + for (var currSize = wg >> 1; currSize > 0; currSize = currSize >> 1) { + if (lindex < currSize) { + threadShared[lindex] = threadShared[lindex] + threadShared[lindex + currSize]; + } + workgroupBarrier(); + } + if (lindex == 0) { + rowSumShared = ${z}(${V7("threadShared[0]",S)}); + } + workgroupBarrier(); + + // calculate final value for each element in the row + for (var col = lindex; col < cols; col += wg) { + let value = exp(getValue(row, col, row_stride) - rowMaxShared) / rowSumShared; + setValue(row, col, row_stride, value); + } + }`},{inputs:[O],outputs:[R?-1:0]})[0];R&&$.compute(P2(T,U),{inputs:[T]})},BF=($,j)=>{vL($.inputs),RL($,j)},hF=($)=>$9({axis:$.axis})}),fW=k5(()=>{x6(),I6(),W6(),QN=($)=>Array.from($.getBigInt64Array(),Number),UL=($)=>{if(!$||$.length!==2)throw Error("Tile requires 2 inputs.");if($[0].dataType!==1&&$[0].dataType!==10&&$[0].dataType!==6&&$[0].dataType!==12)throw Error("Tile only support float, float16, int32, and uint32 data types");if($[1].dataType!==7)throw Error("Tile `repeats` input should be of int64 data 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i++) { + let input_dim_i = ${J.indicesGet("uniforms.input_shape","i")}; + let input_dim_value = ${R.indicesGet("output_indices","i")} % input_dim_i; + + ${J.indicesSet("input_indices","i","input_dim_value")} + } + ${R.setByOffset("global_idx",J.getByIndices("input_indices"))} + }`}},cF=($)=>{UL($.inputs),$.compute(xL($.inputs),{inputs:[0]})}}),wW=k5(()=>{x6(),I6(),W6(),LL=($,j,O,G,Z)=>{let V,N=n5("output_data",Z,O.length,4),J=j5("a_data",j[1].dataType,j[1].dims.length,4),R=j5("b_data",j[2].dataType,j[2].dims.length,4),U=j5("c_data",j[0].dataType,j[0].dims.length,4),H=(L,Y,S)=>`select(${Y}, ${L}, ${S})`;if(G){let L=(Y,S,X="")=>{let D=`a_data[index_a${S}][component_a${S}]`,I=`b_data[index_b${S}][component_b${S}]`,k=`bool(c_data[index_c${S}] & (0xffu << (component_c${S} * 8)))`;return` + let output_indices${S} = ${N.offsetToIndices(`global_idx * 4u + ${S}u`)}; + let offset_a${S} = ${J.broadcastedIndicesToOffset(`output_indices${S}`,N)}; + let offset_b${S} = 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C=0;C=P.length?P.push(x[C+2]):P[C]=x[C+2];for(let C=0;C=P[C]||K[C+P.length]>=P[C])throw Error("pads should be smaller than kernel")}}static adjustPadsBasedOnAutoPad(v,x,P,F,M,K,C){if(C){if(M.length!==2*(v.length-2))throw Error("length of pads should be twice the length of data dimensions");if(x.length!==v.length-2)throw Error("length of strides should be the length of data dimensions");if(F.length!==v.length-2)throw Error("length of kernel shapes should be the length of data dimensions");for(let h=0;h{q6(),V1=(q,v)=>new(J9(v))(q)}),BG=q0(()=>{q6(),B1(),W1=new Map([["float32",32],["float16",16],["int32",32],["uint32",32],["int64",64],["uint64",64],["int8",8],["uint8",8],["int4",4],["uint4",4]]),M1=(q,v)=>{if(v==="int32")return q;let x=W1.get(v);if(!x)throw Error(`WebNN backend does not support data type: ${v}`);let P=x/8;if(q.byteLength%P!==0)throw Error(`Invalid Uint8Array length - must be a multiple of ${P}.`);let F=q.byteLength/P,M=new(J9(v))(q.buffer,q.byteOffset,F);switch(v){case"int64":case"uint64":{let K=new Int32Array(F);for(let C=0;C2147483647n||h<-2147483648n)throw Error("Can not convert int64 data to int32 - value out of range.");K[C]=Number(h)}return new Uint8Array(K.buffer)}case"int8":case"uint8":case"uint32":{if(v==="uint32"&&M.some((C)=>C>2147483647))throw Error("Can not convert uint32 data to int32 - value out of range.");let K=Int32Array.from(M,Number);return new Uint8Array(K.buffer)}default:throw Error(`Unsupported data conversion from ${v} to 'int32'`)}},R1=(q,v)=>{if(v==="int32")return q;if(q.byteLength%4!=0)throw Error("Invalid Uint8Array length - must be a multiple of 4 (int32).");let x=q.byteLength/4,P=new Int32Array(q.buffer,q.byteOffset,x);switch(v){case"int64":{let F=BigInt64Array.from(P,BigInt);return new Uint8Array(F.buffer)}case"uint64":{if(P.some((M)=>M<0))throw Error("Can not convert int32 data to uin64 - negative value found.");let F=BigUint64Array.from(P,BigInt);return new Uint8Array(F.buffer)}case"int8":{if(P.some((M)=>M<-128||M>127))throw Error("Can not convert int32 data to int8 - value out of range.");let F=Int8Array.from(P,Number);return new Uint8Array(F.buffer)}case"uint8":if(P.some((F)=>F<0||F>255))throw Error("Can not convert int32 data to uint8 - value out of range.");return Uint8Array.from(P,Number);case"uint32":{if(P.some((M)=>M<0))throw Error("Can not convert int32 data to uint32 - negative value found.");let F=Uint32Array.from(P,Number);return new Uint8Array(F.buffer)}default:throw Error(`Unsupported data conversion from 'int32' to ${v}`)}},l1=1,N1=()=>l1++,p=new Map([["int8","int32"],["uint8","int32"],["uint32","int32"],["int64","int32"]]),x0=(q,v)=>{let x=W1.get(q);if(!x)throw Error(`WebNN backend does not support data type: ${q}`);return v.length>0?Math.ceil(v.reduce((P,F)=>P*F)*x/8):0},X0=class{constructor(q){this.isDataConverted=!1;let{sessionId:v,context:x,tensor:P,dataType:F,shape:M,fallbackDataType:K}=q;this.sessionId=v,this.mlContext=x,this.mlTensor=P,this.dataType=F,this.tensorShape=M,this.fallbackDataType=K}get tensor(){return this.mlTensor}get type(){return this.dataType}get fallbackType(){return this.fallbackDataType}get shape(){return this.tensorShape}get byteLength(){return x0(this.dataType,this.tensorShape)}destroy(){L6("verbose",()=>"[WebNN] TensorWrapper.destroy"),this.mlTensor.destroy()}write(q){this.mlContext.writeTensor(this.mlTensor,q)}async read(q){if(this.fallbackDataType){let v=await this.mlContext.readTensor(this.mlTensor),x=R1(new Uint8Array(v),this.dataType);return q?void(q instanceof ArrayBuffer?new Uint8Array(q):new Uint8Array(q.buffer,q.byteOffset,q.byteLength)).set(x):x.buffer}return q?this.mlContext.readTensor(this.mlTensor,q):this.mlContext.readTensor(this.mlTensor)}canReuseTensor(q,v,x){return this.mlContext===q&&this.dataType===v&&this.tensorShape.length===x.length&&this.tensorShape.every((P,F)=>P===x[F])}setIsDataConverted(q){this.isDataConverted=q}},W0=class{constructor(q,v){this.tensorManager=q,this.wrapper=v}get tensorWrapper(){return this.wrapper}releaseTensor(){this.tensorWrapper&&(this.tensorManager.releaseTensor(this.tensorWrapper),this.wrapper=void 0)}async ensureTensor(q,v,x,P){let F,M=this.tensorManager.getMLContext(q);if(!M.opSupportLimits().input.dataTypes.includes(v)){if(F=p.get(v),!F||!M.opSupportLimits().input.dataTypes.includes(F))throw Error(`WebNN backend does not support data type: ${v}`);L6("verbose",()=>`[WebNN] TensorIdTracker.ensureTensor: fallback dataType from ${v} to ${F}`)}if(this.wrapper){if(this.wrapper.canReuseTensor(M,v,x))return this.wrapper.tensor;if(P){if(this.wrapper.byteLength!==x0(v,x))throw Error("Unable to copy data to tensor with different size.");this.activeUpload=new Uint8Array(await this.wrapper.read())}this.tensorManager.releaseTensor(this.wrapper)}let K=typeof MLTensorUsage>"u"?void 0:MLTensorUsage.READ|MLTensorUsage.WRITE;return this.wrapper=await this.tensorManager.getCachedTensor(q,v,x,K,!0,!0,F),P&&this.activeUpload&&(this.wrapper.write(this.activeUpload),this.activeUpload=void 0),this.wrapper.tensor}upload(q){let v=q;if(this.wrapper){if(this.wrapper.fallbackType){if(this.wrapper.fallbackType!=="int32")throw Error(`Unsupported fallback data type: ${this.wrapper.fallbackType}`);v=M1(q,this.wrapper.type),this.wrapper.setIsDataConverted(!0)}if(q.byteLength===this.wrapper.byteLength)return void this.wrapper.write(v);L6("verbose",()=>"Data size does not match tensor size. Releasing tensor."),this.releaseTensor()}this.activeUpload?this.activeUpload.set(v):this.activeUpload=new Uint8Array(v)}async download(q){if(this.activeUpload){let v=this.wrapper?.isDataConverted?R1(this.activeUpload,this.wrapper?.type):this.activeUpload;return q?void(q instanceof ArrayBuffer?new Uint8Array(q).set(v):new Uint8Array(q.buffer,q.byteOffset,q.byteLength).set(v)):v.buffer}if(!this.wrapper)throw Error("Tensor has not been created.");return q?this.wrapper.read(q):this.wrapper.read()}},h0=class{constructor(q){this.backend=q,this.tensorTrackersById=new Map,this.freeTensors=[],this.externalTensors=new Set}getMLContext(q){let v=this.backend.getMLContext(q);if(!v)throw Error("MLContext not found for session.");return v}reserveTensorId(){let q=N1();return this.tensorTrackersById.set(q,new W0(this)),q}releaseTensorId(q){let v=this.tensorTrackersById.get(q);v&&(this.tensorTrackersById.delete(q),v.tensorWrapper&&this.releaseTensor(v.tensorWrapper))}async ensureTensor(q,v,x,P,F){L6("verbose",()=>`[WebNN] TensorManager.ensureTensor {tensorId: ${v}, dataType: ${x}, shape: ${P}, copyOld: ${F}}`);let M=this.tensorTrackersById.get(v);if(!M)throw Error("Tensor not found.");return M.ensureTensor(q,x,P,F)}upload(q,v){let x=this.tensorTrackersById.get(q);if(!x)throw Error("Tensor not found.");x.upload(v)}async download(q,v){L6("verbose",()=>`[WebNN] TensorManager.download {tensorId: ${q}, dstBuffer: ${v?.byteLength}}`);let x=this.tensorTrackersById.get(q);if(!x)throw Error("Tensor not found.");return x.download(v)}releaseTensorsForSession(q){for(let v of this.freeTensors)v.sessionId===q&&v.destroy();this.freeTensors=this.freeTensors.filter((v)=>v.sessionId!==q)}registerTensor(q,v,x,P){let F=this.getMLContext(q),M=N1(),K=new X0({sessionId:q,context:F,tensor:v,dataType:x,shape:P});return this.tensorTrackersById.set(M,new W0(this,K)),this.externalTensors.add(K),M}async getCachedTensor(q,v,x,P,F,M,K){let C=this.getMLContext(q);for(let[m,u]of this.freeTensors.entries())if(u.canReuseTensor(C,v,x)){L6("verbose",()=>`[WebNN] Reusing tensor {dataType: ${v}, ${K?`fallbackDataType: ${K},`:""} shape: ${x}`);let d=this.freeTensors.splice(m,1)[0];return d.sessionId=q,d}L6("verbose",()=>`[WebNN] MLContext.createTensor {dataType: ${v}, ${K?`fallbackDataType: ${K},`:""} shape: ${x}}`);let h=await C.createTensor({dataType:K??v,shape:x,dimensions:x,usage:P,writable:F,readable:M});return new X0({sessionId:q,context:C,tensor:h,dataType:v,shape:x,fallbackDataType:K})}releaseTensor(q){this.externalTensors.has(q)&&this.externalTensors.delete(q),this.freeTensors.push(q)}},c0=(...q)=>new h0(...q)}),hG=q0(()=>{q6(),v3(),eO(),BG(),B1(),F5=new Map([[1,"float32"],[10,"float16"],[6,"int32"],[12,"uint32"],[7,"int64"],[13,"uint64"],[22,"int4"],[21,"uint4"],[3,"int8"],[2,"uint8"],[9,"uint8"]]),W5=(q,v)=>{if(q===v)return!0;if(q===void 0||v===void 0)return!1;let x=Object.keys(q).sort(),P=Object.keys(v).sort();return x.length===P.length&&x.every((F,M)=>F===P[M]&&q[F]===v[F])},b5=class{constructor(q){this.tensorManager=c0(this),this.mlContextBySessionId=new Map,this.sessionIdsByMLContext=new Map,this.mlContextCache=[],this.sessionGraphInputs=new Map,this.sessionGraphOutputs=new Map,this.temporaryGraphInputs=[],this.temporaryGraphOutputs=[],this.temporarySessionTensorIds=new Map,n9(q.logLevel,!!q.debug)}get currentSessionId(){if(this.activeSessionId===void 0)throw Error("No active session");return this.activeSessionId}onRunStart(q){L6("verbose",()=>`[WebNN] onRunStart {sessionId: ${q}}`),this.activeSessionId=q}onRunEnd(q){L6("verbose",()=>`[WebNN] onRunEnd {sessionId: ${q}}`);let v=this.temporarySessionTensorIds.get(q);if(v){for(let x of v)L6("verbose",()=>`[WebNN] releasing temporary tensor {tensorId: ${x}}`),this.tensorManager.releaseTensorId(x);this.temporarySessionTensorIds.delete(q),this.activeSessionId=void 0}}async createMLContext(q){if(q instanceof GPUDevice){let x=this.mlContextCache.findIndex((P)=>P.gpuDevice===q);if(x!==-1)return this.mlContextCache[x].mlContext;{let P=await navigator.ml.createContext(q);return this.mlContextCache.push({gpuDevice:q,mlContext:P}),P}}if(q===void 0){let x=this.mlContextCache.findIndex((P)=>P.options===void 0&&P.gpuDevice===void 0);if(x!==-1)return this.mlContextCache[x].mlContext;{let P=await navigator.ml.createContext();return this.mlContextCache.push({mlContext:P}),P}}let v=this.mlContextCache.findIndex((x)=>W5(x.options,q));if(v!==-1)return this.mlContextCache[v].mlContext;{let x=await navigator.ml.createContext(q);return this.mlContextCache.push({options:q,mlContext:x}),x}}registerMLContext(q,v){this.mlContextBySessionId.set(q,v);let x=this.sessionIdsByMLContext.get(v);x||(x=new Set,this.sessionIdsByMLContext.set(v,x)),x.add(q),this.temporaryGraphInputs.length>0&&(this.sessionGraphInputs.set(q,this.temporaryGraphInputs),this.temporaryGraphInputs=[]),this.temporaryGraphOutputs.length>0&&(this.sessionGraphOutputs.set(q,this.temporaryGraphOutputs),this.temporaryGraphOutputs=[])}onReleaseSession(q){this.sessionGraphInputs.delete(q),this.sessionGraphOutputs.delete(q);let v=this.mlContextBySessionId.get(q);if(!v)return;this.tensorManager.releaseTensorsForSession(q),this.mlContextBySessionId.delete(q);let x=this.sessionIdsByMLContext.get(v);if(x.delete(q),x.size===0){this.sessionIdsByMLContext.delete(v);let P=this.mlContextCache.findIndex((F)=>F.mlContext===v);P!==-1&&this.mlContextCache.splice(P,1)}}getMLContext(q){return this.mlContextBySessionId.get(q)}reserveTensorId(){return this.tensorManager.reserveTensorId()}releaseTensorId(q){L6("verbose",()=>`[WebNN] releaseTensorId {tensorId: ${q}}`),this.tensorManager.releaseTensorId(q)}async ensureTensor(q,v,x,P,F){let M=F5.get(x);if(!M)throw Error(`Unsupported ONNX data type: ${x}`);return this.tensorManager.ensureTensor(q??this.currentSessionId,v,M,P,F)}async createTemporaryTensor(q,v,x){L6("verbose",()=>`[WebNN] createTemporaryTensor {onnxDataType: ${v}, shape: ${x}}`);let P=F5.get(v);if(!P)throw Error(`Unsupported ONNX data type: ${v}`);let F=this.tensorManager.reserveTensorId();await this.tensorManager.ensureTensor(q,F,P,x,!1);let M=this.temporarySessionTensorIds.get(q);return M?M.push(F):this.temporarySessionTensorIds.set(q,[F]),F}uploadTensor(q,v){if(!z6().shouldTransferToMLTensor)throw Error("Trying to upload to a MLTensor while shouldTransferToMLTensor is false");L6("verbose",()=>`[WebNN] uploadTensor {tensorId: ${q}, data: ${v.byteLength}}`),this.tensorManager.upload(q,v)}async downloadTensor(q,v){return this.tensorManager.download(q,v)}createMLTensorDownloader(q,v){return async()=>{let x=await this.tensorManager.download(q);return V1(x,v)}}registerMLTensor(q,v,x,P){let F=F5.get(x);if(!F)throw Error(`Unsupported ONNX data type: ${x}`);let M=this.tensorManager.registerTensor(q,v,F,P);return L6("verbose",()=>`[WebNN] registerMLTensor {tensor: ${v}, dataType: ${F}, dimensions: ${P}} -> {tensorId: ${M}}`),M}registerMLConstant(q,v,x,P,F,M,K=!1){if(!M)throw Error("External mounted files are not available.");let C=q;q.startsWith("./")&&(C=q.substring(2));let h=M.get(C);if(!h)throw Error(`File with name ${C} not found in preloaded files.`);if(v+x>h.byteLength)throw Error("Out of bounds: data offset and length exceed the external file data size.");let m,u=h.slice(v,v+x).buffer;switch(F.dataType){case"float32":m=new Float32Array(u);break;case"float16":m=typeof Float16Array<"u"&&Float16Array.from?new Float16Array(u):new Uint16Array(u);break;case"int32":m=new Int32Array(u);break;case"uint32":m=new Uint32Array(u);break;case"int64":if(K){let d=M1(new Uint8Array(u),"int64");m=new Int32Array(d.buffer),F.dataType="int32"}else m=new BigInt64Array(u);break;case"uint64":m=new BigUint64Array(u);break;case"int8":m=new Int8Array(u);break;case"int4":case"uint4":case"uint8":m=new Uint8Array(u);break;default:throw Error(`Unsupported data type: ${F.dataType} in creating WebNN Constant from external data.`)}return L6("verbose",()=>`[WebNN] registerMLConstant {dataType: ${F.dataType}, shape: ${F.shape}}} ${K?"(Note: it was int64 data type and registered to int32 as workaround)":""}`),P.constant(F,m)}registerGraphInput(q){this.temporaryGraphInputs.push(q)}registerGraphOutput(q){this.temporaryGraphOutputs.push(q)}isGraphInput(q,v){let x=this.sessionGraphInputs.get(q);return!!x&&x.includes(v)}isGraphOutput(q,v){let x=this.sessionGraphOutputs.get(q);return!!x&&x.includes(v)}isGraphInputOutputTypeSupported(q,v,x=!0){let P=this.mlContextBySessionId.get(q),F=F5.get(z9(v));return!(typeof F>"u"||(x?!P?.opSupportLimits().input.dataTypes.includes(F):!P?.opSupportLimits().output.dataTypes.includes(F)))}flush(){}}}),D8=q0(()=>{}),W8=q0(()=>{B1(),D8(),P5=new Map([[64,250],[128,200],[256,200],[512,200],[2048,230],[4096,200],[8192,50],[16384,50],[32768,50],[65536,50],[131072,50],[262144,50],[524288,50],[1048576,50],[2097152,30],[4194304,20],[8388608,10],[12582912,10],[16777216,10],[26214400,15],[33554432,22],[44236800,2],[58982400,6],[67108864,6],[134217728,6],[167772160,6]]),S6=[],_6=(q)=>16*Math.ceil(Number(q)/16),O9=(q)=>{for(let v=0;vg6++,w9=async(q,v,x,P)=>{let F=_6(x),M=q.device.createBuffer({size:F,usage:GPUBufferUsage.COPY_DST|GPUBufferUsage.MAP_READ});try{let K=q.getCommandEncoder();q.endComputePass(),K.copyBufferToBuffer(v,0,M,0,F),q.flush(),await M.mapAsync(GPUMapMode.READ);let C=M.getMappedRange();if(P){let h=P();return h.set(new Uint8Array(C,0,x)),h}return new Uint8Array(C.slice(0,x))}finally{M.destroy()}},Z9=class{constructor(q){this.backend=q,this.storageCache=new Map,this.freeBuffers=new Map,this.freeUniformBuffers=new Map,this.buffersPending=[],this.capturedPendingBuffers=new Map;for(let[v]of P5)S6.push(v),this.freeBuffers.set(v,[]),this.freeUniformBuffers.set(v,[]);this.sessionCount=0}upload(q,v){let{buffer:x,byteOffset:P,byteLength:F}=v,M=_6(F),K=this.storageCache.get(q);if(!K)throw Error("gpu data for uploading does not exist");if(Number(K.originalSize)!==F)throw Error(`inconsistent data size. gpu data size=${K.originalSize}, data size=${F}`);let C=this.backend.device.createBuffer({mappedAtCreation:!0,size:M,usage:GPUBufferUsage.MAP_WRITE|GPUBufferUsage.COPY_SRC}),h=C.getMappedRange();new Uint8Array(h).set(new Uint8Array(x,P,F)),C.unmap();let m=this.backend.device.createCommandEncoder();m.copyBufferToBuffer(C,0,K.gpuData.buffer,0,M),this.backend.device.queue.submit([m.finish()]),C.destroy(),L6("verbose",()=>`[WebGPU] GpuDataManager.upload(id=${q})`)}memcpy(q,v){let x=this.storageCache.get(q);if(!x)throw Error("source gpu data for memcpy does not exist");let P=this.storageCache.get(v);if(!P)throw Error("destination gpu data for memcpy does not exist");if(x.originalSize!==P.originalSize)throw Error("inconsistent source and destination gpu data size");let F=_6(x.originalSize),M=this.backend.getCommandEncoder();this.backend.endComputePass(),M.copyBufferToBuffer(x.gpuData.buffer,0,P.gpuData.buffer,0,F)}registerExternalBuffer(q,v,x){let P;if(x){if(P=x[0],q===x[1])return L6("verbose",()=>`[WebGPU] GpuDataManager.registerExternalBuffer(size=${v}) => id=${P}, buffer is the same, skip.`),P;if(this.backend.capturedCommandList.has(this.backend.currentSessionId))throw Error(`Registering a different external buffer under graph capture mode is not supported yet. + Please use the previous external buffer!`)}else P=k9();return this.storageCache.set(P,{gpuData:{id:P,type:0,buffer:q},originalSize:v}),L6("verbose",()=>`[WebGPU] GpuDataManager.registerExternalBuffer(size=${v}) => id=${P}, registered.`),P}unregisterExternalBuffer(q){q!==void 0&&(this.storageCache.delete(q),L6("verbose",()=>`[WebGPU] GpuDataManager.unregisterExternalBuffer() => id=${q}`))}create(q,v=GPUBufferUsage.STORAGE|GPUBufferUsage.COPY_SRC|GPUBufferUsage.COPY_DST){let x,P=O9(q),F=(v&GPUBufferUsage.STORAGE)===GPUBufferUsage.STORAGE,M=(v&GPUBufferUsage.UNIFORM)===GPUBufferUsage.UNIFORM;if(F||M){let C=(F?this.freeBuffers:this.freeUniformBuffers).get(P);x=C&&C.length>0?C.pop():this.backend.device.createBuffer({size:P,usage:v})}else x=this.backend.device.createBuffer({size:P,usage:v});let K={id:k9(),type:0,buffer:x};return this.storageCache.set(K.id,{gpuData:K,originalSize:Number(q)}),L6("verbose",()=>`[WebGPU] GpuDataManager.create(size=${q}) => id=${K.id}`),K}get(q){return this.storageCache.get(q)?.gpuData}release(q){let v=typeof q=="bigint"?Number(q):q,x=this.storageCache.get(v);if(!x){if(this.storageCache.size===0)return 0;throw Error("releasing data does not exist")}return L6("verbose",()=>`[WebGPU] GpuDataManager.release(id=${v}), gpuDataId=${x.gpuData.id}`),this.storageCache.delete(v),this.buffersPending.push(x.gpuData.buffer),x.originalSize}async download(q,v){let x=this.storageCache.get(Number(q));if(!x)throw Error("data does not exist");await w9(this.backend,x.gpuData.buffer,x.originalSize,v)}refreshPendingBuffers(){if(this.buffersPending.length!==0)if(this.backend.sessionStatus==="default"){for(let q of this.buffersPending){let v=P5.get(q.size);if((q.usage&GPUBufferUsage.STORAGE)===GPUBufferUsage.STORAGE){let x=this.freeBuffers.get(q.size)||[];v===void 0||x.length>=v?q.destroy():x.push(q)}else if((q.usage&GPUBufferUsage.UNIFORM)===GPUBufferUsage.UNIFORM){let x=this.freeUniformBuffers.get(q.size)||[];v===void 0||x.length>=v?q.destroy():x.push(q)}else q.destroy()}this.buffersPending=[]}else{let q=this.capturedPendingBuffers.get(this.backend.currentSessionId);q||(q=[],this.capturedPendingBuffers.set(this.backend.currentSessionId,q));for(let v of this.buffersPending)q.push(v);this.buffersPending=[]}}dispose(){this.freeBuffers.forEach((q)=>{q.forEach((v)=>{v.destroy()})}),this.freeUniformBuffers.forEach((q)=>{q.forEach((v)=>{v.destroy()})}),this.storageCache.forEach((q)=>{q.gpuData.buffer.destroy()}),this.capturedPendingBuffers.forEach((q)=>{q.forEach((v)=>{v.destroy()})}),this.storageCache=new Map,this.freeBuffers=new Map,this.freeUniformBuffers=new Map,this.capturedPendingBuffers=new Map}onCreateSession(){this.sessionCount+=1}onReleaseSession(q){let v=this.capturedPendingBuffers.get(q);v&&(v.forEach((x)=>{x.destroy()}),this.capturedPendingBuffers.delete(q)),this.sessionCount-=1,this.sessionCount===0&&(L6("warning",()=>"[WebGPU] Clearing webgpu buffer cache"),this.storageCache.forEach((x)=>{x.gpuData.buffer.destroy()}),this.storageCache=new Map)}},s9=(...q)=>new Z9(...q)}),S9=q0(()=>{J1=class{constructor(q){Object.assign(this,q)}get cacheKey(){return this.key||(this.key=Object.getOwnPropertyNames(this).sort().map((q)=>`${this[q]}`).join(";")),this.key}},P6=(q)=>new J1(q)}),T6=q0(()=>{q6(),X6(),Q6=64,C6=(q,v)=>{if(v===3)throw Error("vec3 has same alignment as vec4, use vec4 instead");switch(Number(q)){case 10:return v>1?`vec${v}`:"f16";case 1:return v>1?`vec${v}`:"f32";case 6:return v>1?`vec${v}`:"i32";case 12:return v>1?`vec${v}`:"u32";case 7:if(v>1)throw Error("currently not supported vecX of uint64 yet");return["vec2","i32"];case 13:if(v>1)throw Error("currently not supported vecX of uint64 yet");return["vec2","u32"];case 9:if(v!==4)throw Error("bool must be vec4");return["u32","vec4"];case 22:return"i32";case 21:return"u32";default:throw Error(`Unknown data type: ${q}`)}},N6=(q,v=1)=>{let x=C6(q,v);return typeof x=="string"?x:x[0]},s6=(q,v=1)=>{let x=C6(q,v);return typeof x=="string"?x:x[1]},C5=(...q)=>{let v=[];return q.forEach((x)=>{x.length!==0&&v.push({type:12,data:x},{type:12,data:B0.computeStrides(x)})}),v},k6=(q)=>q%4==0?4:q%2==0?2:1,E9=(q="f32",v,x="0")=>v&&v!==1?`vec${v}<${q}>(${x})`:`${q}(${x})`,R9=(q,v,x)=>q==="f32"?x:v===1?`f32(${x})`:`vec${v}(${x})`,B6=(q,v)=>v===4?`(${q}.x + ${q}.y + ${q}.z + ${q}.w)`:v===2?`(${q}.x + ${q}.y)`:v===3?`(${q}.x + ${q}.y + ${q}.z)`:q,B5=(q,v,x,P)=>q.startsWith("uniforms.")&&x>4?typeof v=="string"?P==="f16"?`${q}[(${v}) / 8][(${v}) % 8 / 4][(${v}) % 8 % 4]`:`${q}[(${v}) / 4][(${v}) % 4]`:P==="f16"?`${q}[${Math.floor(v/8)}][${Math.floor(v%8/4)}][${v%8%4}]`:`${q}[${Math.floor(v/4)}][${v%4}]`:x>1?`${q}[${v}]`:q,U9=(q,v,x,P,F)=>{let M=typeof x=="number",K=M?x:x.length,C=[...Array(K).keys()],h=K<2?"u32":K<=4?`vec${K}`:`array`,m=C6(v,F),u=typeof m=="string"?m:m[1],d=typeof m=="string"?m:m[0],o={indices:h,value:u,storage:d,tensor:v},a=(i0)=>typeof i0=="string"?i0:`${i0}u`,j0={offsetToIndices:!1,indicesToOffset:!1,broadcastedIndicesToOffset:!1,set:!1,setByIndices:!1,get:!1,getByIndices:!1},U0=M?"uniforms.":"",_0=`${U0}${q}_shape`,H0=`${U0}${q}_strides`,Y0="";for(let i0=0;i0 ${o.indices} { + var indices: ${o.indices}; + var current = offset; + ${Y0} + return indices; + }`,D0=[];if(K>=2)for(let i0=K-1;i0>=0;i0--)D0.push(`${B5(H0,i0,K)} * (indices[${i0}])`);let b0=K<2?"":` + fn i2o_${q}(indices: ${o.indices}) -> u32 { + return ${D0.join("+")}; + }`,m0=(...i0)=>K===0?"0u":`${o.indices}(${i0.map(a).join(",")})`,x5=(i0,z5)=>K<2?`${i0}`:`${B5(i0,z5,K)}`,f5={},c5=(i0,z5)=>(()=>{if(o.storage===o.value)return`${q}[${i0}]=${z5};`;if(o.storage==="vec2"&&o.value==="i32")return`${q}[${i0}]=vec2(u32(${z5}), select(0u, 0xFFFFFFFFu, ${z5} < 0));`;if(o.storage==="vec2"&&o.value==="u32")return`${q}[${i0}]=vec2(u32(${z5}), 0u);`;if(o.storage==="u32"&&o.value==="vec4")return`${q}[${i0}]=dot(vec4(0x1, 0x100, 0x10000, 0x1000000), vec4(${z5}));`;throw Error(`not supported combination of storage type ${o.storage} and value type ${o.value} yet`)})(),l5=(i0)=>(()=>{if(o.storage===o.value)return`${q}[${i0}]`;if(o.storage==="vec2"&&o.value==="i32")return`i32(${q}[${i0}].x)`;if(o.storage==="vec2"&&o.value==="u32")return`u32(${q}[${i0}].x)`;if(o.storage==="u32"&&o.value==="vec4")return`vec4(bool(${q}[${i0}] & 0xFFu), bool(${q}[${i0}] & 0xFF00u), bool(${q}[${i0}] & 0xFF0000u), bool(${q}[${i0}] & 0xFF000000u))`;throw Error(`not supported combination of storage type ${o.storage} and value type ${o.value} yet`)})(),G6=K<2?"":` + fn get_${q}ByIndices(indices: ${o.indices}) -> ${u} { + return ${l5(`i2o_${q}(indices)`)}; + }`,y6=K<2?"":(()=>{let i0=C.map((s5)=>`d${s5}: u32`).join(", "),z5=C.map((s5)=>`d${s5}`).join(", ");return` + fn get_${q}(${i0}) -> ${u} { + return get_${q}ByIndices(${m0(z5)}); + }`})(),A6=K<2?"":` + fn set_${q}ByIndices(indices: ${o.indices}, value: ${u}) { + ${c5(`i2o_${q}(indices)`,"value")} + }`,w5=K<2?"":(()=>{let i0=C.map((s5)=>`d${s5}: u32`).join(", "),z5=C.map((s5)=>`d${s5}`).join(", ");return` + fn set_${q}(${i0}, value: ${u}) { + set_${q}ByIndices(${m0(z5)}, value); + }`})();return{impl:()=>{let i0=[],z5=!1;return j0.offsetToIndices&&(i0.push(k0),z5=!0),j0.indicesToOffset&&(i0.push(b0),z5=!0),j0.broadcastedIndicesToOffset&&(Object.values(f5).forEach((s5)=>i0.push(s5)),z5=!0),j0.set&&(i0.push(w5),z5=!0),j0.setByIndices&&(i0.push(A6),z5=!0),j0.get&&(i0.push(y6),z5=!0),j0.getByIndices&&(i0.push(G6),z5=!0),!M&&z5&&i0.unshift(`const ${_0} = ${o.indices}(${x.join(",")});`,`const ${H0} = ${o.indices}(${B0.computeStrides(x).join(",")});`),i0.join(` +`)},type:o,offsetToIndices:(i0)=>(j0.offsetToIndices=!0,K<2?i0:`o2i_${q}(${i0})`),indicesToOffset:(i0)=>(j0.indicesToOffset=!0,K<2?i0:`i2o_${q}(${i0})`),broadcastedIndicesToOffset:(i0,z5)=>{j0.broadcastedIndicesToOffset=!0;let s5=`${z5.name}broadcastedIndicesTo${q}Offset`;if(s5 in f5)return`${s5}(${i0})`;let r5=[];for(let P9=K-1;P9>=0;P9--){let f6=z5.indicesGet("outputIndices",P9+z5.rank-K);r5.push(`${x5(H0,P9)} * (${f6} % ${x5(_0,P9)})`)}return f5[s5]=`fn ${s5}(outputIndices: ${z5.type.indices}) -> u32 { + return ${r5.length>0?r5.join("+"):"0u"}; + }`,`${s5}(${i0})`},indices:m0,indicesGet:x5,indicesSet:(i0,z5,s5)=>K<2?`${i0}=${s5};`:`${B5(i0,z5,K)}=${s5};`,set:(...i0)=>{if(i0.length!==K+1)throw Error(`indices length must be ${K}`);let z5=i0[K];if(typeof z5!="string")throw Error("value must be string");let s5=i0.slice(0,K).map(a).join(",");return K===0?c5("0u",z5):K===1?c5(s5[0],z5):(j0.set=!0,j0.setByIndices=!0,j0.indicesToOffset=!0,`set_${q}(${s5}, ${z5})`)},setByOffset:c5,setByIndices:(i0,z5)=>K<2?c5(i0,z5):(j0.setByIndices=!0,j0.indicesToOffset=!0,`set_${q}ByIndices(${i0}, ${z5});`),get:(...i0)=>{if(i0.length!==K)throw Error(`indices length must be ${K}`);let z5=i0.map(a).join(",");return K===0?l5("0u"):K===1?l5(z5[0]):(j0.get=!0,j0.getByIndices=!0,j0.indicesToOffset=!0,`get_${q}(${z5})`)},getByOffset:l5,getByIndices:(i0)=>K<2?l5(i0):(j0.getByIndices=!0,j0.indicesToOffset=!0,`get_${q}ByIndices(${i0})`),usage:P,name:q,strides:H0,shape:_0,rank:K}},u0=(q,v,x,P=1)=>U9(q,v,x,"input",P),h5=(q,v,x,P=1)=>U9(q,v,x,"output",P),V2=(q,v,x)=>U9(q,v,x,"atomicOutput",1),s2=(q,v,x,P=1)=>U9(q,v,x,"internal",P),X1=class{constructor(q,v){this.normalizedDispatchGroup=q,this.limits=v,this.internalVariables=[],this.variables=[],this.uniforms=[],this.variableIndex=0}guardAgainstOutOfBoundsWorkgroupSizes(q){return`if (global_idx >= ${typeof q=="number"?`${q}u`:q}) { return; }`}mainStart(q=Q6){let v=typeof q=="number"?q:q[0],x=typeof q=="number"?1:q[1],P=typeof q=="number"?1:q[2];if(v>this.limits.maxComputeWorkgroupSizeX||x>this.limits.maxComputeWorkgroupSizeY||P>this.limits.maxComputeWorkgroupSizeZ)throw Error(`workgroup size [${v}, ${x}, ${P}] exceeds the maximum workgroup size [${this.limits.maxComputeWorkgroupSizeX}, ${this.limits.maxComputeWorkgroupSizeY}, ${this.limits.maxComputeWorkgroupSizeZ}].`);if(v*x*P>this.limits.maxComputeInvocationsPerWorkgroup)throw Error(`workgroup size [${v}, ${x}, ${P}] exceeds the maximum workgroup invocations ${this.limits.maxComputeInvocationsPerWorkgroup}.`);let F=this.normalizedDispatchGroup[1]===1&&this.normalizedDispatchGroup[2]===1;return`@compute @workgroup_size(${v}, ${x}, ${P}) + fn main(${F?`@builtin(global_invocation_id) global_id : vec3, + @builtin(workgroup_id) workgroup_id : vec3, + @builtin(local_invocation_index) local_idx : u32, + @builtin(local_invocation_id) local_id : vec3`:`@builtin(global_invocation_id) global_id : vec3, + @builtin(local_invocation_id) local_id : vec3, + @builtin(local_invocation_index) local_idx : u32, + @builtin(workgroup_id) workgroup_id : vec3, + @builtin(num_workgroups) num_workgroups : vec3`}) { + ${F?`let global_idx = global_id.x; + let workgroup_index = workgroup_id.x;`:`let workgroup_index = workgroup_id.z * num_workgroups[0] * num_workgroups[1] + + workgroup_id.y * num_workgroups[0] + workgroup_id.x; + let global_idx = workgroup_index * ${v*x*P}u + local_idx;`} + `}appendVariableUniforms(q){q.rank!==0&&(q.shape.startsWith("uniforms.")&&this.uniforms.push({name:q.shape.replace("uniforms.",""),type:"u32",length:q.rank}),q.strides.startsWith("uniforms.")&&this.uniforms.push({name:q.strides.replace("uniforms.",""),type:"u32",length:q.rank}))}declareVariable(q,v){if(q.usage==="internal")throw Error("cannot use internal variable with declareVariable(). use registerInternalVariables() instead.");this.variables.push(q),this.appendVariableUniforms(q);let x=q.usage==="input"?"read":"read_write",P=q.usage==="atomicOutput"?"atomic":q.type.storage;return`@group(0) @binding(${v}) var ${q.name}: array<${P}>;`}declareVariables(...q){return q.map((v)=>this.declareVariable(v,this.variableIndex++)).join(` +`)}registerInternalVariable(q){if(q.usage!=="internal")throw Error("cannot use input or output variable with registerInternalVariable(). use declareVariables() instead.");this.internalVariables.push(q),this.appendVariableUniforms(q)}registerInternalVariables(...q){return q.forEach((v)=>this.registerInternalVariable(v)),this}registerUniform(q,v,x=1){return this.uniforms.push({name:q,type:v,length:x}),this}registerUniforms(q){return this.uniforms=this.uniforms.concat(q),this}uniformDeclaration(){if(this.uniforms.length===0)return"";let q=[];for(let{name:v,type:x,length:P}of this.uniforms)if(P&&P>4)x==="f16"?q.push(`@align(16) ${v}:array, ${Math.ceil(P/8)}>`):q.push(`${v}:array, ${Math.ceil(P/4)}>`);else{let F=P==null||P===1?x:`vec${P}<${x}>`;q.push(`${v}:${F}`)}return` + struct Uniforms { ${q.join(", ")} }; + @group(0) @binding(${this.variableIndex}) var uniforms: Uniforms;`}get additionalImplementations(){return this.uniformDeclaration()+this.variables.map((q)=>q.impl()).join(` +`)+this.internalVariables.map((q)=>q.impl()).join(` +`)}get variablesInfo(){if(this.uniforms.length===0)return;let q=(v)=>[12,10,1,6][["u32","f16","f32","i32"].indexOf(v)];return this.uniforms.map((v)=>[q(v.type),v.length??1])}},i2=(q,v)=>new X1(q,v)}),m2=q0(()=>{q6(),X6(),S9(),T6(),a2=(q,v)=>{if(!q||q.length!==1)throw Error("Transpose requires 1 input.");if(v.length!==0&&v.length!==q[0].dims.length)throw Error(`perm size ${v.length} does not match input rank ${q[0].dims.length}`)},T2=(q,v)=>v.length!==0?v:[...Array(q).keys()].reverse(),o1=(q,v)=>B0.sortBasedOnPerm(q,T2(q.length,v)),B3=(q,v,x,P)=>{let F=`fn perm(i: ${P.type.indices}) -> ${x.type.indices} { + var a: ${x.type.indices};`;for(let M=0;M{let x=[],P=[];for(let F=0;F{let x=0;for(let P=0;P{let x,P=q.dataType,F=q.dims.length,M=T2(F,v),K=o1(q.dims,M),C=q.dims,h=K;if(F<2||n2(M,q.dims))return x=(a)=>{let j0=u0("input",P,C,4),U0=h5("output",P,h,4);return` + ${a.registerUniform("output_size","u32").declareVariables(j0,U0)} + ${a.mainStart()} + ${a.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + output[global_idx] = input[global_idx]; + }`},{name:"TransposeCopy",shaderCache:{inputDependencies:["type"]},getRunData:()=>{let a=B0.size(K);return{outputs:[{dims:K,dataType:q.dataType}],dispatchGroup:{x:Math.ceil(a/64/4)},programUniforms:[{type:12,data:Math.ceil(a/4)}]}},getShaderSource:x};let{newShape:m,newPerm:u}=r2(q.dims,M),d=B0.areEqual(u,[2,3,1]),o=B0.areEqual(u,[3,1,2]);if(m.length===2||d||o){C=d?[m[0],m[1]*m[2]]:o?[m[0]*m[1],m[2]]:m,h=[C[1],C[0]];let a=16;return x=(j0)=>{let U0=u0("a",P,C.length),_0=h5("output",P,h.length);return` + ${j0.registerUniform("output_size","u32").declareVariables(U0,_0)} + var tile : array, ${a}>; + ${j0.mainStart([a,a,1])} + let stride = (uniforms.output_shape[1] - 1) / ${a} + 1; + let workgroup_id_x = workgroup_index % stride; + let workgroup_id_y = workgroup_index / stride; + let input_col = workgroup_id_y * ${a}u + local_id.x; + let input_row = workgroup_id_x * ${a}u + local_id.y; + if (input_row < uniforms.a_shape[0] && input_col < uniforms.a_shape[1]) { + tile[local_id.y][local_id.x] = ${U0.getByIndices(`${U0.type.indices}(input_row, input_col)`)}; + } + workgroupBarrier(); + + let output_col = workgroup_id_x * ${a}u + local_id.x; + let output_row = workgroup_id_y * ${a}u + local_id.y; + if (output_row < uniforms.output_shape[0] && output_col < uniforms.output_shape[1]) { + ${_0.setByIndices(`${_0.type.indices}(output_row, output_col)`,"tile[local_id.x][local_id.y]")} + } + }`},{name:"TransposeShared",shaderCache:{inputDependencies:["type"]},getRunData:()=>{let j0=B0.size(K);return{outputs:[{dims:K,dataType:q.dataType}],dispatchGroup:{x:Math.ceil(h[1]/a),y:Math.ceil(h[0]/a)},programUniforms:[{type:12,data:j0},...C5(C,h)]}},getShaderSource:x}}return x=(a)=>{let j0=u0("a",P,C.length),U0=h5("output",P,h.length);return` + ${a.registerUniform("output_size","u32").declareVariables(j0,U0)} + + ${B3(M,F,j0,U0)} + + ${a.mainStart()} + ${a.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + + let indices = ${U0.offsetToIndices("global_idx")}; + let aIndices = perm(indices); + + ${U0.setByOffset("global_idx",j0.getByIndices("aIndices"))} + }`},{name:"Transpose",shaderCache:{hint:`${v}`,inputDependencies:["rank"]},getRunData:()=>{let a=B0.size(K);return{outputs:[{dims:K,dataType:q.dataType}],dispatchGroup:{x:Math.ceil(a/64)},programUniforms:[{type:12,data:a},...C5(C,h)]}},getShaderSource:x}},h3=(q,v)=>{a2(q.inputs,v.perm),q.compute(A9(q.inputs[0],v.perm))},s1=(q)=>P6({perm:q.perm})}),cG=q0(()=>{q6(),X6(),T6(),M8(),m2(),c3={max:"select(bestValue, candidate, candidate > bestValue)",min:"select(bestValue, candidate, candidate < bestValue)",mean:"bestValue + candidate",sum:"bestValue + candidate",prod:"bestValue * candidate",sumSquare:"bestValue + candidate * candidate",logSumExp:"bestValue + exp(candidate)",l1:"bestValue + abs(candidate)",l2:"bestValue + candidate * candidate",logSum:"bestValue + candidate"},m3={max:"select(bestValue, candidate, candidate > bestValue)",min:"select(bestValue, candidate, candidate < bestValue)",mean:"bestValue + candidate",sum:"bestValue + candidate",prod:"bestValue * candidate",sumSquare:"bestValue + candidate",logSumExp:"bestValue + candidate",l1:"bestValue + candidate",l2:"bestValue + candidate",logSum:"bestValue + candidate"},p3={max:"_A[offset]",min:"_A[offset]",mean:"0",sum:"0",prod:"1",sumSquare:"0",logSumExp:"0",l1:"0",l2:"0",logSum:"0"},A3={max:"bestValue",min:"bestValue",sum:"bestValue",prod:"bestValue",sumSquare:"bestValue",logSumExp:"log(bestValue)",l1:"bestValue",l2:"sqrt(bestValue)",logSum:"log(bestValue)"},g3=(q,v)=>{let x=[];for(let P=v-q;P{let x=[],P=q.length;for(let F=0;Fq[F])]},u3=(q,v)=>{let x=q.length+v.length,P=[],F=0;for(let M=0;M{for(let x=0;x{let x=[];if(!d3(q,v)){for(let P=0;Px.push(P))}return x},F2=(q,v,x,P,F,M,K)=>{let C=x[0].dims,h=B0.size(M),m=B0.size(K),u=u0("_A",x[0].dataType,C),d=h5("output",F,M),o=64;h===1&&(o=256);let a=` + var aBestValues : array; + `;return{name:q,shaderCache:{hint:`${v};${o}`,inputDependencies:["type"]},getShaderSource:(j0)=>` + ${j0.registerUniform("reduceSize","u32").declareVariables(u,d)} + ${a} + fn DIV_CEIL(a : u32, b : u32) -> u32 { + return ((a - 1u) / b + 1u); + } + ${j0.mainStart(o)} + + let outputIndex = global_idx / ${o}; + let offset = outputIndex * uniforms.reduceSize; + + var bestValue = f32(${p3[P]}); + let Length = uniforms.reduceSize; + for (var k = local_idx; k < Length; k = k + ${o}) { + let candidate = f32(${u.getByOffset("offset + k")}); + bestValue = ${c3[P]}; + } + aBestValues[local_idx] = bestValue; + workgroupBarrier(); + + var reduceSize = min(Length, ${o}u); + for (var currentSize = reduceSize / 2u; reduceSize > 1u; + currentSize = reduceSize / 2u) { + let interval = DIV_CEIL(reduceSize, 2u); + if (local_idx < currentSize) { + let candidate = aBestValues[local_idx + interval]; + bestValue = ${m3[P]}; + aBestValues[local_idx] = bestValue; + } + reduceSize = interval; + workgroupBarrier(); + } + + if (local_idx == 0u) { + ${d.setByOffset("outputIndex",P==="mean"?`${d.type.storage}(bestValue / f32(uniforms.reduceSize))`:`${d.type.storage}(${A3[P]})`)}; + } + }`,getRunData:()=>({outputs:[{dims:M,dataType:F}],dispatchGroup:{x:h},programUniforms:[{type:12,data:m}]})}},g9=(q,v,x,P)=>{let F=q.inputs.length===1?x:j3(q.inputs,x),M=F.axes;M.length===0&&!F.noopWithEmptyAxes&&(M=q.inputs[0].dims.map((a,j0)=>j0));let K=B0.normalizeAxes(M,q.inputs[0].dims.length),C=K,h=q.inputs[0],m=t2(C,q.inputs[0].dims.length);m.length>0&&(h=q.compute(A9(q.inputs[0],m),{inputs:[0],outputs:[-1]})[0],C=g3(C.length,h.dims.length));let[u,d]=i1(h.dims,C),o=u;F.keepDims&&(o=u3(u,K)),q.compute(F2(v,F.cacheKey,[h],P,q.inputs[0].dataType,o,d),{inputs:[h]})},y2=(q,v)=>{g9(q,"ReduceMeanShared",v,"mean")},l3=(q,v)=>{g9(q,"ReduceL1Shared",v,"l1")},e2=(q,v)=>{g9(q,"ReduceL2Shared",v,"l2")},N2=(q,v)=>{g9(q,"ReduceLogSumExpShared",v,"logSumExp")},K1=(q,v)=>{g9(q,"ReduceMaxShared",v,"max")},b1=(q,v)=>{g9(q,"ReduceMinShared",v,"min")},$3=(q,v)=>{g9(q,"ReduceProdShared",v,"prod")},z2=(q,v)=>{g9(q,"ReduceSumShared",v,"sum")},Z4=(q,v)=>{g9(q,"ReduceSumSquareShared",v,"sumSquare")},o3=(q,v)=>{g9(q,"ReduceLogSumShared",v,"logSum")}}),M8=q0(()=>{q6(),X6(),S9(),T6(),cG(),h9=(q)=>{if(!q||q.length===0||q.length>2)throw Error("Reduce op requires 1 or 2 inputs.");if(q.length===2&&q[1].dims.length!==1)throw Error("Invalid axes input dims.")},J2=(q)=>["","",`var value = ${q.getByIndices("input_indices")};`,""],f1=(q,v,x,P,F,M,K=!1,C=!1)=>{let h=[],m=x[0].dims,u=m.length,d=B0.normalizeAxes(F,u),o=!C&&d.length===0;m.forEach((U0,_0)=>{o||d.indexOf(_0)>=0?K&&h.push(1):h.push(U0)});let a=h.length,j0=B0.size(h);return{name:q,shaderCache:v,getShaderSource:(U0)=>{let _0=[],H0=u0("_A",x[0].dataType,u),Y0=h5("output",M,a),k0=P(H0,Y0,d),D0=k0[2];for(let b0=0,m0=0;b0=0?(K&&m0++,D0=`for(var j${b0}: u32 = 0; j${b0} < ${m[b0]}; j${b0}++) { + ${k0[2].includes("last_index")?`let last_index = j${b0};`:""} + ${H0.indicesSet("input_indices",b0,`j${b0}`)} + ${D0} + }`):(_0.push(`${H0.indicesSet("input_indices",b0,Y0.indicesGet("output_indices",m0))};`),m0++);return` + + ${U0.registerUniform("output_size","u32").declareVariables(H0,Y0)} + + ${U0.mainStart()} + ${U0.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + var input_indices: ${H0.type.indices}; + let output_indices = ${Y0.offsetToIndices("global_idx")}; + + ${_0.join(` +`)} + ${k0[0]} // init ops for reduce max/min + ${k0[1]} + ${D0} + ${k0[3]} + ${k0.length===4?Y0.setByOffset("global_idx","value"):k0.slice(4).join(` +`)} + }`},getRunData:()=>({outputs:[{dims:h,dataType:M}],dispatchGroup:{x:Math.ceil(j0/64)},programUniforms:[{type:12,data:j0},...C5(m,h)]})}},j3=(q,v)=>{let x=[];return q[1].dims[0]>0&&q[1].getBigInt64Array().forEach((P)=>x.push(Number(P))),P6({axes:x,keepDims:v.keepDims,noopWithEmptyAxes:v.noopWithEmptyAxes})},t9=(q,v,x,P)=>{let F=q.inputs,M=F.length===1?x:j3(F,x);q.compute(f1(v,{hint:M.cacheKey,inputDependencies:["rank"]},[F[0]],M.noopWithEmptyAxes&&M.axes.length===0?J2:P,M.axes,F[0].dataType,M.keepDims,M.noopWithEmptyAxes),{inputs:[0]})},s3=(q,v)=>{h9(q.inputs),t9(q,"ReduceLogSum",v,(x,P)=>[`var value = ${P.type.storage}(0);`,"",`value += ${x.getByIndices("input_indices")};`,"value = log(value);"])},i3=(q,v)=>{h9(q.inputs),t9(q,"ReduceL1",v,(x,P)=>[`var value = ${P.type.storage}(0);`,"",`value += abs(${x.getByIndices("input_indices")});`,""])},a3=(q,v)=>{h9(q.inputs),t9(q,"ReduceL2",v,(x,P)=>[`var t = ${P.type.value}(0); var value = ${P.type.value}(0);`,"",`t = ${x.getByIndices("input_indices")}; value += (t * t);`,"value = sqrt(value);"])},r3=(q,v)=>{h9(q.inputs),t9(q,"ReduceLogSumExp",v,(x,P)=>[`var value = ${P.type.storage}(0);`,"",`value += exp(${x.getByIndices("input_indices")});`,"value = log(value);"])},n3=(q,v)=>{h9(q.inputs),t9(q,"ReduceMax",v,(x,P,F)=>{let M=[];for(let K=0;K=0||F.length===0)&&M.push(x.indicesSet("input_indices",K,0));return[`${M.join(` +`)}`,`var value = ${x.getByIndices("input_indices")};`,`value = max(value, ${x.getByIndices("input_indices")});`,""]})},k2=(q,v)=>{h9(q.inputs),t9(q,"ReduceMean",v,(x,P,F)=>{let M=1;for(let K=0;K=0||F.length===0)&&(M*=q.inputs[0].dims[K]);return["var sum = f32(0);","",`sum += f32(${x.getByIndices("input_indices")});`,`let value = ${P.type.value}(sum / ${M});`]})},a1=(q,v)=>{h9(q.inputs),t9(q,"ReduceMin",v,(x,P,F)=>{let M=[];for(let K=0;K=0||F.length===0)&&M.push(`input_indices[${K}] = 0;`);return[`${M.join(` +`)}`,`var value = ${x.getByIndices("input_indices")};`,`value = min(value, ${x.getByIndices("input_indices")});`,""]})},U1=(q,v)=>{h9(q.inputs),t9(q,"ReduceProd",v,(x,P)=>[`var value = ${P.type.storage}(1);`,"",`value *= ${x.getByIndices("input_indices")};`,""])},T1=(q,v)=>{h9(q.inputs),t9(q,"ReduceSum",v,(x,P)=>[`var value = ${P.type.storage}(0);`,"",`value += ${x.getByIndices("input_indices")};`,""])},F1=(q,v)=>{h9(q.inputs),t9(q,"ReduceSumSquare",v,(x,P)=>[`var t = ${P.type.value}(0); var value = ${P.type.value}(0);`,"",`t = ${x.getByIndices("input_indices")}; value += t * t;`,""])},e9=(q,v,x)=>{if(v.length===0)return x;let P=1,F=1;for(let M=0;M1024},O3=(q,v)=>{e9(q.inputs[0].dims,v.axes,v.noopWithEmptyAxes)?k2(q,v):y2(q,v)},r1=(q,v)=>{e9(q.inputs[0].dims,v.axes,v.noopWithEmptyAxes)?i3(q,v):l3(q,v)},I2=(q,v)=>{e9(q.inputs[0].dims,v.axes,v.noopWithEmptyAxes)?a3(q,v):e2(q,v)},D2=(q,v)=>{e9(q.inputs[0].dims,v.axes,v.noopWithEmptyAxes)?r3(q,v):N2(q,v)},v2=(q,v)=>{e9(q.inputs[0].dims,v.axes,v.noopWithEmptyAxes)?n3(q,v):K1(q,v)},W2=(q,v)=>{e9(q.inputs[0].dims,v.axes,v.noopWithEmptyAxes)?a1(q,v):b1(q,v)},M2=(q,v)=>{e9(q.inputs[0].dims,v.axes,v.noopWithEmptyAxes)?U1(q,v):$3(q,v)},K2=(q,v)=>{e9(q.inputs[0].dims,v.axes,v.noopWithEmptyAxes)?T1(q,v):z2(q,v)},G3=(q,v)=>{e9(q.inputs[0].dims,v.axes,v.noopWithEmptyAxes)?F1(q,v):Z4(q,v)},Z3=(q,v)=>{e9(q.inputs[0].dims,v.axes,v.noopWithEmptyAxes)?s3(q,v):o3(q,v)}}),K8=q0(()=>{q6(),S9(),M8(),w1=(q)=>{if(!q||q.length===0||q.length>2)throw Error("ArgMinMaxOp op requires 1 or 2 inputs.");if(q[0].dataType!==1)throw Error("Invalid input type.")},n1=(q,v)=>{w1(q.inputs),q.compute(f1("ArgMin",{hint:v.cacheKey,inputDependencies:["rank"]},[q.inputs[0]],(x,P,F)=>{let M=[];for(let K=0;K=0||F.length===0)&&M.push(`input_indices[${K}] = 0;`);return[`${M.join(` +`)}`,`var value = ${x.getByIndices("input_indices")}; +var best_index : i32 = 0;`,`if (${x.getByIndices("input_indices")} ${v.selectLastIndex>0?"<=":"<"} value) { + value = ${x.getByIndices("input_indices")}; + best_index = i32(last_index); + }`,"",P.setByOffset("global_idx","best_index")]},[v.axis],7,v.keepDims),{inputs:[0]})},o5=(q,v)=>{w1(q.inputs),q.compute(f1("argMax",{hint:v.cacheKey,inputDependencies:["rank"]},[q.inputs[0]],(x,P,F)=>{let M=[];for(let K=0;K=0||F.length===0)&&M.push(`input_indices[${K}] = 0;`);return[`${M.join(` +`)}`,`var value = ${x.getByIndices("input_indices")}; +var best_index : i32 = 0;`,`if (${x.getByIndices("input_indices")} ${v.selectLastIndex>0?">=":">"} value) { + value = ${x.getByIndices("input_indices")}; + best_index = i32(last_index); + }`,"",P.setByOffset("global_idx","best_index")]},[v.axis],7,v.keepDims),{inputs:[0]})},i5=(q)=>P6(q)}),b8=q0(()=>{q6(),X6(),D8(),T6(),b2=(q,v)=>{let x=q[0],P=q[1],F=q[2],M=q[3],K=q[4],C=q[5];if(K&&C)throw Error("Attention cannot have both past and attention_bias");if(x.dims.length!==3)throw Error('Input "input" must have 3 dimensions');let h=x.dims[0],m=x.dims[1],u=x.dims[2];if(F.dims.length!==1)throw Error('Input "bias" is expected to have 1 dimensions');if(P.dims.length!==2)throw Error('Input "weights" is expected to have 2 dimensions');if(P.dims[0]!==u)throw Error("Input 1 dimension 0 should have same length as dimension 2 of input 0");if(F.dims[0]!==P.dims[1])throw Error('Input "bias" dimension 0 should have same length as dimension 1 of input "weights"');let d=F.dims[0]/3,o=d,a=o;if(v.qkvHiddenSizes.length>0){if(v.qkvHiddenSizes.length!==3)throw Error("qkv_hidden_sizes attribute should have 3 elements");for(let H0 of v.qkvHiddenSizes)if(H0%v.numHeads!==0)throw Error("qkv_hidden_sizes should be divisible by num_heads");d=v.qkvHiddenSizes[0],o=v.qkvHiddenSizes[1],a=v.qkvHiddenSizes[2]}let j0=m;if(d!==o)throw Error("qkv_hidden_sizes first element should be same as the second");if(F.dims[0]!==d+o+a)throw Error('Input "bias" dimension 0 should have same length as sum of Q/K/V hidden sizes');let U0=0;if(K){if(o!==a)throw Error('Input "past" expect k_hidden_size == v_hidden_size');if(K.dims.length!==5)throw Error('Input "past" must have 5 dimensions');if(K.dims[0]!==2)throw Error('Input "past" first dimension must be 2');if(K.dims[1]!==h)throw Error('Input "past" second dimension must be batch_size');if(K.dims[2]!==v.numHeads)throw Error('Input "past" third dimension must be num_heads');if(K.dims[4]!==o/v.numHeads)throw Error('Input "past" fifth dimension must be k_hidden_size / num_heads');v.pastPresentShareBuffer||(U0=K.dims[3])}let _0=j0+U0;if(M)throw Error("Mask not supported");if(K)throw Error("past is not supported");if(C){if(C.dims.length!==4)throw Error('Input "attention_bias" must have 4 dimensions');if(C.dims[0]!==h||C.dims[1]!==v.numHeads||C.dims[2]!==m||C.dims[3]!==_0)throw Error('Expect "attention_bias" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:h,sequenceLength:m,pastSequenceLength:U0,kvSequenceLength:j0,totalSequenceLength:_0,maxSequenceLength:-1,inputHiddenSize:u,hiddenSize:d,vHiddenSize:a,headSize:Math.floor(d/v.numHeads),vHeadSize:Math.floor(a/v.numHeads),numHeads:v.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:v.maskFilterValue,maskType:0,scale:v.scale,broadcastResPosBias:!1,passPastInKv:!1,qkvFormat:1}},t1=(q,v,x)=>v&&q?` + let total_sequence_length_input = u32(${v.getByOffset("0")}); + let present_sequence_length = max(total_sequence_length_input, uniforms.past_sequence_length); + let is_subsequent_prompt: bool = sequence_length > 1 && sequence_length != total_sequence_length_input; + let is_first_prompt: bool = is_subsequent_prompt == false && sequence_length == total_sequence_length_input; + total_sequence_length = u32(${q?.getByOffset("batchIdx")}) + 1; + var past_sequence_length: u32 = 0; + if (is_first_prompt == false) { + past_sequence_length = total_sequence_length - sequence_length; + } + `:` + ${x?"let past_sequence_length = uniforms.past_sequence_length":""}; + let present_sequence_length = total_sequence_length; + `,e1=(q,v,x,P,F,M,K,C)=>{let h=k6(K?1:M),m=64,u=M/h;u{let H0=h5("x",q.dataType,q.dims,h),Y0=[H0],k0=K?u0("seq_lens",K.dataType,K.dims):void 0;k0&&Y0.push(k0);let D0=C?u0("total_sequence_length_input",C.dataType,C.dims):void 0;D0&&Y0.push(D0);let b0=s6(q.dataType);return` + var thread_max: array; + var thread_sum: array; + ${_0.registerUniforms([{name:"batch_size",type:"u32"},{name:"num_heads",type:"u32"},{name:"past_sequence_length",type:"u32"},{name:"sequence_length",type:"u32"},{name:"total_sequence_length",type:"u32"},{name:"elements_per_thread",type:"u32"}]).declareVariables(...Y0)} + ${_0.mainStart([m,1,1])} + let batchIdx = workgroup_id.z / uniforms.num_heads; + let headIdx = workgroup_id.z % uniforms.num_heads; + let sequence_length = uniforms.sequence_length; + var total_sequence_length = uniforms.total_sequence_length; + ${t1(k0,D0,!1)} + let local_offset = local_idx * uniforms.elements_per_thread; + let offset = (global_idx / ${m}) * uniforms.total_sequence_length + local_offset; + let seq_causal_length = ${K?"u32(past_sequence_length + workgroup_id.y + 1)":"total_sequence_length"}; + var thread_max_vector = ${j0}(-3.402823e+38f); + for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) { + thread_max_vector = max(${j0}(x[offset + i]), thread_max_vector); + } + thread_max[local_idx] = ${(()=>{switch(h){case 1:return"thread_max_vector";case 2:return"max(thread_max_vector.x, thread_max_vector.y)";case 4:return"max(max(thread_max_vector.x, thread_max_vector.y), max(thread_max_vector.z, thread_max_vector.w))";default:throw Error(`Unsupported components: ${h}`)}})()}; + workgroupBarrier(); + + var max_value = f32(-3.402823e+38f); + for (var i = 0u; i < ${m}; i++) { + max_value = max(thread_max[i], max_value); + } + + var sum_vector = ${j0}(0); + for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) { + sum_vector += exp(${j0}(x[offset + i]) - max_value); + } + thread_sum[local_idx] = ${(()=>{switch(h){case 1:return"sum_vector";case 2:return"sum_vector.x + sum_vector.y";case 4:return"sum_vector.x + sum_vector.y + sum_vector.z + sum_vector.w";default:throw Error(`Unsupported components: ${h}`)}})()}; + workgroupBarrier(); + + var sum: f32 = 0; + for (var i = 0u; i < ${m}; i++) { + sum += thread_sum[i]; + } + + if (sum == 0) { + for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) { + x[offset + i] = ${H0.type.value}(${b0}(1.0) / ${b0}(seq_causal_length)); + } + } else { + for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) { + var f32input = ${j0}(x[offset + i]); + x[offset + i] = ${H0.type.value}(exp(f32input - max_value) / sum); + } + } + ${K?` + for (var total_seq_id: u32 = seq_causal_length; total_seq_id + local_offset < uniforms.total_sequence_length; total_seq_id++) { + x[offset + total_seq_id] = ${H0.type.value}(${b0}(0)); + }`:""}; + }`},getRunData:()=>({outputs:[],dispatchGroup:{x:1,y:F,z:v*x},programUniforms:o})}},Q9=(q,v,x,P,F,M,K,C,h)=>{let m=K+M.kvSequenceLength,u=[M.batchSize,M.numHeads,M.sequenceLength,m],d=q>1&&P,o=M.kvNumHeads?M.kvNumHeads:M.numHeads,a=d?[M.batchSize,o,m,M.headSize]:void 0,j0=M.nReps?M.nReps:1,U0=M.scale===0?1/Math.sqrt(M.headSize):M.scale,_0=k6(M.headSize),H0=M.headSize/_0,Y0=12,k0={x:Math.ceil(m/Y0),y:Math.ceil(M.sequenceLength/Y0),z:M.batchSize*M.numHeads},D0=[{type:12,data:M.sequenceLength},{type:12,data:H0},{type:12,data:m},{type:12,data:M.numHeads},{type:12,data:M.headSize},{type:1,data:U0},{type:12,data:K},{type:12,data:M.kvSequenceLength},{type:12,data:j0}],b0=d&&P&&B0.size(P.dims)>0,m0=["type","type"];b0&&m0.push("type"),F&&m0.push("type"),C&&m0.push("type"),h&&m0.push("type");let x5=[{dims:u,dataType:v.dataType,gpuDataType:0}];return d&&x5.push({dims:a,dataType:v.dataType,gpuDataType:0}),{name:"AttentionProbs",shaderCache:{hint:`${_0};${F!==void 0};${P!==void 0};${q}`,inputDependencies:m0},getRunData:()=>({outputs:x5,dispatchGroup:k0,programUniforms:D0}),getShaderSource:(f5)=>{let c5=u0("q",v.dataType,v.dims,_0),l5=[c5,u0("key",x.dataType,x.dims,_0)];if(b0){let z5=u0("past_key",P.dataType,P.dims,_0);l5.push(z5)}F&&l5.push(u0("attention_bias",F.dataType,F.dims));let G6=C?u0("seq_lens",C.dataType,C.dims):void 0;G6&&l5.push(G6);let y6=h?u0("total_sequence_length_input",h.dataType,h.dims):void 0;y6&&l5.push(y6);let A6=h5("output",v.dataType,u),w5=[A6];d&&w5.push(h5("present_key",v.dataType,a,_0));let i0=s6(1,_0);return` + const TILE_SIZE = 12u; + + var tileQ: array<${c5.type.storage}, 144>; + var tileK: array<${c5.type.storage}, 144>; + ${f5.registerUniforms([{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"alpha",type:"f32"},{name:"past_sequence_length",type:"u32"},{name:"kv_sequence_length",type:"u32"},{name:"n_reps",type:"u32"}]).declareVariables(...l5,...w5)} + ${f5.mainStart([Y0,Y0,1])} + // x holds the N and y holds the M + let headIdx = workgroup_id.z % uniforms.num_heads; + let kvHeadIdx = ${j0===1?"headIdx":"headIdx / uniforms.n_reps"}; + let kv_num_heads = ${j0===1?"uniforms.num_heads":"uniforms.num_heads / uniforms.n_reps"}; + let batchIdx = workgroup_id.z / uniforms.num_heads; + let m = workgroup_id.y * TILE_SIZE; + let n = workgroup_id.x * TILE_SIZE; + let sequence_length = uniforms.M; + var total_sequence_length = uniforms.N; + ${t1(G6,y6,!0)} + let absKvHeadIdx = batchIdx * kv_num_heads + kvHeadIdx; + let qOffset = workgroup_id.z * uniforms.M * uniforms.K + m * uniforms.K; + ${b0&&d?"let pastKeyOffset = absKvHeadIdx * uniforms.past_sequence_length * uniforms.K;":""}; + let kOffset = absKvHeadIdx * uniforms.kv_sequence_length * uniforms.K; + ${d?"let presentKeyOffset = absKvHeadIdx * uniforms.N * uniforms.K;":""} + var value = ${i0}(0); + for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) { + if (global_id.y < uniforms.M && w + local_id.x < uniforms.K) { + tileQ[TILE_SIZE * local_id.y + local_id.x] = q[qOffset + local_id.y * uniforms.K + w + local_id.x]; + } + if (n + local_id.y < uniforms.N && w + local_id.x < uniforms.K) { + var idx = TILE_SIZE * local_id.y + local_id.x; + ${b0&&d?` + if (n + local_id.y < past_sequence_length) { + tileK[idx] = past_key[pastKeyOffset + (n + local_id.y) * uniforms.K + w + local_id.x]; + } else if (n + local_id.y - past_sequence_length < uniforms.kv_sequence_length) { + tileK[idx] = key[kOffset + (n + local_id.y - past_sequence_length) * uniforms.K + w + local_id.x]; + }`:` + if (n + local_id.y < uniforms.kv_sequence_length) { + tileK[idx] = key[kOffset + (n + local_id.y) * uniforms.K + w + local_id.x]; + }`} + ${d?`if (n + local_id.y < present_sequence_length) { + present_key[presentKeyOffset + (n + local_id.y) * uniforms.K + w + local_id.x] = tileK[idx]; + }`:""} + } + workgroupBarrier(); + + for (var k: u32 = 0u; k < TILE_SIZE && w+k < uniforms.K; k++) { + value += ${i0}(tileQ[TILE_SIZE * local_id.y + k] * tileK[TILE_SIZE * local_id.x + k]); + } + + workgroupBarrier(); + } + + if (global_id.y < uniforms.M && global_id.x < total_sequence_length) { + let headOffset = workgroup_id.z * uniforms.M * uniforms.N; + let outputIdx = headOffset + global_id.y * uniforms.N + global_id.x; + var sum: f32 = ${(()=>{switch(_0){case 1:return"value";case 2:return"value.x + value.y";case 4:return"value.x + value.y + value.z + value.w";default:throw Error(`Unsupported components: ${_0}`)}})()}; + output[outputIdx] = ${A6.type.value} (sum * uniforms.alpha) + ${F?"attention_bias[outputIdx]":"0.0"}; + } + }`}}},c9=(q,v,x,P,F,M,K=void 0,C=void 0)=>{let h=M+F.kvSequenceLength,m=F.nReps?F.nReps:1,u=F.vHiddenSize*m,d=q>1&&P,o=F.kvNumHeads?F.kvNumHeads:F.numHeads,a=d?[F.batchSize,o,h,F.headSize]:void 0,j0=[F.batchSize,F.sequenceLength,u],U0=12,_0={x:Math.ceil(F.vHeadSize/U0),y:Math.ceil(F.sequenceLength/U0),z:F.batchSize*F.numHeads},H0=[{type:12,data:F.sequenceLength},{type:12,data:h},{type:12,data:F.vHeadSize},{type:12,data:F.numHeads},{type:12,data:F.headSize},{type:12,data:u},{type:12,data:M},{type:12,data:F.kvSequenceLength},{type:12,data:m}],Y0=d&&P&&B0.size(P.dims)>0,k0=["type","type"];Y0&&k0.push("type"),K&&k0.push("type"),C&&k0.push("type");let D0=[{dims:j0,dataType:v.dataType,gpuDataType:0}];return d&&D0.push({dims:a,dataType:v.dataType,gpuDataType:0}),{name:"AttentionScore",shaderCache:{hint:`${P!==void 0};${q}`,inputDependencies:k0},getRunData:()=>({outputs:D0,dispatchGroup:_0,programUniforms:H0}),getShaderSource:(b0)=>{let m0=u0("probs",v.dataType,v.dims),x5=[m0,u0("v",x.dataType,x.dims)];Y0&&x5.push(u0("past_value",P.dataType,P.dims));let f5=K?u0("seq_lens",K.dataType,K.dims):void 0;K&&x5.push(f5);let c5=C?u0("total_sequence_length_input",C.dataType,C.dims):void 0;C&&x5.push(c5);let l5=[h5("output",v.dataType,j0)];return d&&l5.push(h5("present_value",v.dataType,a)),` + const TILE_SIZE = 12u; + var tileQ: array<${m0.type.value}, 144>; + var tileV: array<${m0.type.value}, 144>; + ${b0.registerUniforms([{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"v_hidden_size",type:"u32"},{name:"past_sequence_length",type:"u32"},{name:"kv_sequence_length",type:"u32"},{name:"n_reps",type:"u32"}]).declareVariables(...x5,...l5)} + ${b0.mainStart([U0,U0,1])} + let headIdx = workgroup_id.z % uniforms.num_heads; + let batchIdx = workgroup_id.z / uniforms.num_heads; + let kvHeadIdx = ${m===1?"headIdx":"headIdx / uniforms.n_reps"}; + let kv_num_heads = ${m===1?"uniforms.num_heads":"uniforms.num_heads / uniforms.n_reps"}; + let m = global_id.y; + let n = global_id.x; + let sequence_length = uniforms.M; + var total_sequence_length = uniforms.K; + ${t1(f5,c5,!0)} + let offsetA = workgroup_id.z * uniforms.M * uniforms.K + m * uniforms.K; + let absKvHeadIdx = batchIdx * kv_num_heads + kvHeadIdx; // kvHeadIdx is relative to the batch + ${Y0&&d?"let pastValueOffset = absKvHeadIdx * uniforms.N * uniforms.past_sequence_length + n;":""}; + let vOffset = absKvHeadIdx * uniforms.N * uniforms.kv_sequence_length + n; + ${d?"let presentValueOffset = absKvHeadIdx * uniforms.N * uniforms.K + n;":""} + var value = ${m0.type.storage}(0); + for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) { + if (m < uniforms.M && w + local_id.x < uniforms.K) { + tileQ[TILE_SIZE * local_id.y + local_id.x] = probs[offsetA + w + local_id.x]; + } + if (n < uniforms.N && w + local_id.y < uniforms.K) { + var idx = TILE_SIZE * local_id.y + local_id.x; + ${Y0&&d?` + if (w + local_id.y < past_sequence_length) { + tileV[idx] = past_value[pastValueOffset + (w + local_id.y) * uniforms.N]; + } else if (w + local_id.y - past_sequence_length < uniforms.kv_sequence_length) { + tileV[idx] = v[vOffset + (w + local_id.y - past_sequence_length) * uniforms.N]; + } + `:` + if (w + local_id.y < uniforms.kv_sequence_length) { + tileV[idx] = v[vOffset + (w + local_id.y) * uniforms.N]; + }`} + ${d?` + if (w + local_id.y < present_sequence_length) { + present_value[presentValueOffset + (w + local_id.y) * uniforms.N] = tileV[idx]; + }`:""} + } + workgroupBarrier(); + for (var k: u32 = 0u; k < TILE_SIZE && w+k < total_sequence_length; k++) { + value += tileQ[TILE_SIZE * local_id.y + k] * tileV[TILE_SIZE * k + local_id.x]; + } + workgroupBarrier(); + } + + // we need to transpose output from BNSH_v to BSND_v + if (m < uniforms.M && n < uniforms.N) { + let outputIdx = batchIdx * uniforms.M * uniforms.v_hidden_size + m * uniforms.v_hidden_size + + headIdx * uniforms.N + n; + output[outputIdx] = value; + } + }`}}},v1=(q,v,x,P,F,M,K,C,h,m,u=void 0,d=void 0)=>{let o=Math.min(q.outputCount,1+(K?1:0)+(C?1:0)),a=o>1?m.pastSequenceLength:0,j0=a+m.kvSequenceLength,U0=h&&B0.size(h.dims)>0?h:void 0,_0=[v,x];o>1&&K&&B0.size(K.dims)>0&&_0.push(K),U0&&_0.push(U0),u&&_0.push(u),d&&_0.push(d);let H0=q.compute(Q9(o,v,x,K,U0,m,a,u,d),{inputs:_0,outputs:o>1?[-1,1]:[-1]})[0];q.compute(e1(H0,m.batchSize,m.numHeads,a,m.sequenceLength,j0,u,d),{inputs:u&&d?[H0,u,d]:[H0],outputs:[]});let Y0=[H0,P];o>1&&C&&B0.size(C.dims)>0&&Y0.push(C),u&&Y0.push(u),d&&Y0.push(d),q.compute(c9(o,H0,P,C,m,a,u,d),{inputs:Y0,outputs:o>1?[0,2]:[0]})},$2=(q,v)=>{let x=[v.batchSize,v.numHeads,v.sequenceLength,v.headSize],P=v.sequenceLength,F=v.inputHiddenSize,M=v.headSize,K=12,C={x:Math.ceil(v.headSize/K),y:Math.ceil(v.sequenceLength/K),z:v.batchSize*v.numHeads},h=[q.inputs[0],q.inputs[1],q.inputs[2]],m=[{type:12,data:P},{type:12,data:F},{type:12,data:M},{type:12,data:v.numHeads},{type:12,data:v.headSize},{type:12,data:v.hiddenSize},{type:12,data:v.hiddenSize+v.hiddenSize+v.vHiddenSize}];return q.compute({name:"AttentionPrepare",shaderCache:{inputDependencies:["type","type","type"]},getRunData:()=>({outputs:[{dims:x,dataType:q.inputs[0].dataType,gpuDataType:0},{dims:x,dataType:q.inputs[0].dataType,gpuDataType:0},{dims:x,dataType:q.inputs[0].dataType,gpuDataType:0}],dispatchGroup:C,programUniforms:m}),getShaderSource:(u)=>{let d=h5("output_q",h[0].dataType,x),o=h5("output_k",h[0].dataType,x),a=h5("output_v",h[0].dataType,x),j0=u0("input",h[0].dataType,h[0].dims),U0=u0("weight",h[1].dataType,h[1].dims),_0=u0("bias",h[2].dataType,h[2].dims),H0=j0.type.storage;return` + const TILE_SIZE = 12u; + var tileInput: array<${H0}, 144>; + var tileWeightQ: array<${H0}, 144>; + var tileWeightK: array<${H0}, 144>; + var tileWeightV: array<${H0}, 144>; + ${u.registerUniforms([{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"hidden_size",type:"u32"},{name:"ldb",type:"u32"}]).declareVariables(j0,U0,_0,d,o,a)} + ${u.mainStart([K,K,1])} + let batchIndex = workgroup_id.z / uniforms.num_heads; + let headNumber = workgroup_id.z % uniforms.num_heads; + let m = global_id.y; + let n = global_id.x; + + let inputOffset = batchIndex * (uniforms.M * uniforms.K) + m * uniforms.K; + let biasOffsetQ = headNumber * uniforms.head_size; + let biasOffsetK = uniforms.hidden_size + biasOffsetQ; + let biasOffsetV = uniforms.hidden_size + biasOffsetK; + + var valueQ = ${H0}(0); + var valueK = ${H0}(0); + var valueV = ${H0}(0); + for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) { + if (m < uniforms.M && w + local_id.x < uniforms.K) { + tileInput[TILE_SIZE * local_id.y + local_id.x] = input[inputOffset + w + local_id.x]; + } + if (n < uniforms.N && w + local_id.y < uniforms.K) { + let offset = n + (w + local_id.y) * uniforms.ldb; + tileWeightQ[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetQ + offset]; + tileWeightK[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetK + offset]; + tileWeightV[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetV + offset]; + } + workgroupBarrier(); + for (var k: u32 = 0u; k{let x=b2(q.inputs,v),[P,F,M]=$2(q,x);return v1(q,P,F,M,q.inputs[4],void 0,void 0,void 0,q.inputs[5],x)}}),mG=q0(()=>{d5(),q6(),X6(),S9(),T6(),w2=(q,v)=>{if(!q||q.length!==5)throw Error("BatchNormalization requires 5 inputs");let x=(P,F,M)=>{let K=F.length;if(K!==P.length)throw Error(`${M}: num dimensions != ${K}`);F.forEach((C,h)=>{if(C!==P[h])throw Error(`${M}: dim[${h}] do not match`)})};if(q[0].dims.length>1){let P=v.format==="NHWC"?v.spatial?q[0].dims.slice(-1):q[0].dims.slice(-1).concat(q[0].dims.slice(1,q[0].dims.length-1)):q[0].dims.slice(1,v.spatial?2:void 0);x(q[1].dims,P,"Invalid input scale"),x(q[2].dims,P,"Invalid input B"),x(q[3].dims,P,"Invalid input mean"),x(q[4].dims,P,"Invalid input var")}else x(q[1].dims,[1],"Invalid input scale"),x(q[2].dims,[1],"Invalid input B"),x(q[3].dims,[1],"Invalid input mean"),x(q[4].dims,[1],"Invalid input var")},j2=(q,v)=>{let{epsilon:x,spatial:P,format:F}=v,M=q[0].dims,K=P?k6(M[M.length-1]):1,C=F==="NHWC"&&M.length>1?K:1,h=B0.size(M)/K,m=P,u=m?M.length:M,d=u0("x",q[0].dataType,q[0].dims,K),o=u0("scale",q[1].dataType,q[1].dims,C),a=u0("bias",q[2].dataType,q[2].dims,C),j0=u0("inputMean",q[3].dataType,q[3].dims,C),U0=u0("inputVar",q[4].dataType,q[4].dims,C),_0=h5("y",q[0].dataType,u,K);return{name:"BatchNormalization",shaderCache:{hint:`${v.epsilon}_${v.format}_${P}_${K}`,inputDependencies:m?["rank","type","type","type","type"]:void 0},getShaderSource:(H0)=>` + const epsilon = ${x}; + ${H0.registerUniform("outputSize","u32").declareVariables(d,o,a,j0,U0,_0)} + ${H0.mainStart()} + ${H0.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + var outputIndices = ${_0.offsetToIndices(`global_idx * ${K}`)}; + ${(()=>{let Y0="";if(P)Y0=`let cOffset = ${M.length===1?"0u":F==="NHWC"?`outputIndices[${M.length-1}] / ${K}`:"outputIndices[1]"};`;else if(F==="NCHW")Y0=` + ${_0.indicesSet("outputIndices","0","0")} + let cOffset = ${_0.indicesToOffset("outputIndices")};`;else{Y0=`var cIndices = ${o.type.indices}(0); + cIndices[0] = outputIndices[${M.length-1}];`;for(let k0=1;k0({outputs:[{dims:q[0].dims,dataType:q[0].dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:m?[{type:12,data:h},...C5(M)]:[{type:12,data:h}]})}},R2=(q)=>P6(q),E2=(q,v)=>{let{inputs:x,outputCount:P}=q,F=R2({...v,outputCount:P});if(H.webgpu.validateInputContent&&w2(x,F),v.trainingMode)throw Error("BatchNormalization trainingMode is not supported yet.");q.compute(j2(x,F))}}),pG=q0(()=>{X6(),T6(),U2=(q)=>{if(q[0].dims.length!==3)throw Error("input should have 3 dimensions");if(![320,640,1280].includes(q[0].dims[2]))throw Error("number of channels should be 320, 640 or 1280");if(q[1].dims.length!==1)throw Error("bias is expected to have 1 dimensions");if(q[0].dims[2]!==q[1].dims[0])throw Error("last dimension of input and bias are not the same")},O2=(q)=>{let v=q[0].dims,x=q[0].dims[2],P=B0.size(v)/4,F=q[0].dataType,M=u0("input",F,v,4),K=u0("bias",F,[x],4),C=u0("residual",F,v,4),h=h5("output",F,v,4);return{name:"BiasAdd",getRunData:()=>({outputs:[{dims:v,dataType:q[0].dataType}],dispatchGroup:{x:Math.ceil(P/64)}}),getShaderSource:(m)=>` + const channels = ${x}u / 4; + ${m.declareVariables(M,K,C,h)} + + ${m.mainStart()} + ${m.guardAgainstOutOfBoundsWorkgroupSizes(P)} + let value = ${M.getByOffset("global_idx")} + + ${K.getByOffset("global_idx % channels")} + ${C.getByOffset("global_idx")}; + ${h.setByOffset("global_idx","value")} + }`}},E1=(q)=>{U2(q.inputs),q.compute(O2(q.inputs))}}),u6=q0(()=>{q6(),X6(),S9(),T6(),Q1=(q,v,x,P,F,M,K)=>{let C=Math.ceil(v/4),h="";h=typeof F=="string"?`${F}(a)`:F("a");let m=u0("inputData",x,[C],4),u=h5("outputData",P,[C],4),d=[{name:"vec_size",type:"u32"}];return K&&d.push(...K),` + ${q.registerUniforms(d).declareVariables(m,u)} + + ${M??""} + + ${q.mainStart()} + ${q.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")} + + let a = ${m.getByOffset("global_idx")}; + ${u.setByOffset("global_idx",h)} + }`},b6=(q,v,x,P,F,M=q.dataType,K,C)=>{let h=[{type:12,data:Math.ceil(B0.size(q.dims)/4)}];return K&&h.push(...K),{name:v,shaderCache:{hint:F,inputDependencies:["type"]},getShaderSource:(m)=>Q1(m,B0.size(q.dims),q.dataType,M,x,P,C),getRunData:(m)=>({outputs:[{dims:q.dims,dataType:M}],dispatchGroup:{x:Math.ceil(B0.size(m[0].dims)/64/4)},programUniforms:h})}},Q2=(q)=>{q.compute(b6(q.inputs[0],"Abs","abs"))},H2=(q)=>{q.compute(b6(q.inputs[0],"Acos","acos"))},C2=(q)=>{q.compute(b6(q.inputs[0],"Acosh","acosh"))},B2=(q)=>{q.compute(b6(q.inputs[0],"Asin","asin"))},b=(q)=>{q.compute(b6(q.inputs[0],"Asinh","asinh"))},_=(q)=>{q.compute(b6(q.inputs[0],"Atan","atan"))},y=(q)=>{q.compute(b6(q.inputs[0],"Atanh","atanh"))},f=(q)=>P6(q),B=(q,v)=>{let x;switch(v.to){case 10:x="vec4";break;case 1:x="vec4";break;case 12:x="vec4";break;case 6:x="vec4";break;case 9:x="vec4";break;default:throw RangeError(`not supported type (specified in attribute 'to' from 'Cast' operator): ${v.to}`)}q.compute(b6(q.inputs[0],"Cast",x,void 0,v.cacheKey,v.to))},g=(q)=>{let v,x,P=q.length>=2&&q[1].data!==0,F=q.length>=3&&q[2].data!==0;switch(q[0].dataType){case 1:v=P?q[1].getFloat32Array()[0]:-340282346638528860000000000000000000000,x=F?q[2].getFloat32Array()[0]:340282346638528860000000000000000000000;break;case 10:v=P?q[1].getUint16Array()[0]:64511,x=F?q[2].getUint16Array()[0]:31743;break;default:throw Error("Unsupport data type")}return P6({min:v,max:x})},J0=(q,v)=>{let x=v||g(q.inputs),P=s6(q.inputs[0].dataType);q.compute(b6(q.inputs[0],"Clip",(F)=>`clamp(${F}, vec4<${P}>(uniforms.min), vec4<${P}>(uniforms.max))`,void 0,x.cacheKey,void 0,[{type:q.inputs[0].dataType,data:x.min},{type:q.inputs[0].dataType,data:x.max}],[{name:"min",type:P},{name:"max",type:P}]),{inputs:[0]})},z0=(q)=>{q.compute(b6(q.inputs[0],"Ceil","ceil"))},f0=(q)=>{q.compute(b6(q.inputs[0],"Cos","cos"))},A0=(q)=>{q.compute(b6(q.inputs[0],"Cosh","cosh"))},Z5=(q)=>P6(q),M5=(q,v)=>{let x=s6(q.inputs[0].dataType);q.compute(b6(q.inputs[0],"Elu",(P)=>`elu_vf32(${P})`,` + const elu_alpha_ = ${x}(${v.alpha}); + + fn elu_f32(a: ${x}) -> ${x} { + return select((exp(a) - 1.0) * elu_alpha_, a, a >= 0.0); + } + + fn elu_vf32(v: vec4<${x}>) -> vec4<${x}> { + return vec4(elu_f32(v.x), elu_f32(v.y), elu_f32(v.z), elu_f32(v.w)); + }`,v.cacheKey))},p5=(q="f32")=>` +const r0: ${q} = 0.3275911; +const r1: ${q} = 0.254829592; +const r2: ${q} = -0.284496736; +const r3: ${q} = 1.421413741; +const r4: ${q} = -1.453152027; +const r5: ${q} = 1.061405429; + +fn erf_vf32(v: vec4<${q}>) -> vec4<${q}> { + let absv = abs(v); + let x = 1.0 / (1.0 + r0 * absv); + return sign(v) * (1.0 - ((((r5 * x + r4) * x + r3) * x + r2) * x + r1) * x * exp(-absv * absv)); +}`,J6=(q)=>{let v=s6(q.inputs[0].dataType);q.compute(b6(q.inputs[0],"Erf",(x)=>`erf_vf32(${x})`,p5(v)))},q9=(q)=>{q.compute(b6(q.inputs[0],"Exp","exp"))},y1=(q)=>{q.compute(b6(q.inputs[0],"Floor","floor"))},D4=(q)=>{let v=s6(q.inputs[0].dataType);q.compute(b6(q.inputs[0],"Gelu",(x)=>`0.5 * ${x} * (1.0 + erf_vf32(${x} * 0.7071067811865475))`,p5(v)))},q$=(q,v)=>{let x=s6(q.inputs[0].dataType);q.compute(b6(q.inputs[0],"LeakyRelu",(P)=>`select(leaky_relu_alpha_ * ${P}, ${P}, ${P} >= vec4<${x}>(0.0))`,`const leaky_relu_alpha_ = ${x}(${v.alpha});`,v.cacheKey))},U7=(q)=>{q.compute(b6(q.inputs[0],"Not",(v)=>`!${v}`))},V$=(q)=>{q.compute(b6(q.inputs[0],"Neg",(v)=>`-${v}`))},N$=(q)=>{q.compute(b6(q.inputs[0],"Reciprocal",(v)=>`1.0/${v}`))},H7=(q)=>{let v=s6(q.inputs[0].dataType);q.compute(b6(q.inputs[0],"Relu",(x)=>`select(vec4<${v}>(0.0), ${x}, ${x} > vec4<${v}>(0.0))`))},J$=(q)=>{q.compute(b6(q.inputs[0],"Sigmoid",(v)=>`(1.0 / (1.0 + exp(-${v})))`))},v$=(q)=>P6(q),x7=(q,v)=>{let x=s6(q.inputs[0].dataType);q.compute(b6(q.inputs[0],"HardSigmoid",(P)=>`max(vec4<${x}>(0.0), min(vec4<${x}>(1.0), ${v.alpha} * ${P} + vec4<${x}>(${v.beta})))`,void 0,v.cacheKey))},R$=(q)=>{q.compute(b6(q.inputs[0],"Sin","sin"))},U$=(q)=>{q.compute(b6(q.inputs[0],"Sinh","sinh"))},L7=(q)=>{q.compute(b6(q.inputs[0],"Sqrt","sqrt"))},H$=(q)=>{q.compute(b6(q.inputs[0],"Tan","tan"))},_7=(q)=>`sign(${q}) * (1 - exp(-2 * abs(${q}))) / (1 + exp(-2 * abs(${q})))`,Y7=(q)=>{q.compute(b6(q.inputs[0],"Tanh",_7))},S7=(q="f32")=>` +const fast_gelu_a: ${q} = 0.5; +const fast_gelu_b: ${q} = 0.7978845608028654; +const fast_gelu_c: ${q} = 0.035677408136300125; + +fn tanh_v(v: vec4<${q}>) -> vec4<${q}> { + return ${_7("v")}; +} +`,P7=(q)=>`(fast_gelu_a + fast_gelu_a * tanh_v(${q} * (fast_gelu_c * ${q} * ${q} + fast_gelu_b))) * ${q}`,X7=(q)=>{let v=s6(q.inputs[0].dataType);q.compute(b6(q.inputs[0],"FastGelu",P7,S7(v),void 0,q.inputs[0].dataType))},x$=(q,v)=>{let x=s6(q.inputs[0].dataType);return q.compute(b6(q.inputs[0],"ThresholdedRelu",(P)=>`select(vec4<${x}>(0.0), ${P}, ${P} > thresholded_relu_alpha_)`,`const thresholded_relu_alpha_ = vec4<${x}>(${v.alpha});`,v.cacheKey)),0},L$=(q)=>{q.compute(b6(q.inputs[0],"Log","log"))},T7=(q,v)=>` +const alpha = vec4<${q}>(${v}); +const one = ${q}(1.0); +const zero = ${q}(0.0); + +fn quick_gelu_impl(x: vec4<${q}>) -> vec4<${q}> { + let v = x *alpha; + var x1 : vec4<${q}>; + for (var i = 0; i < 4; i = i + 1) { + if (v[i] >= zero) { + x1[i] = one / (one + exp(-v[i])); + } else { + x1[i] = one - one / (one + exp(v[i])); + } + } + return x * x1; +} +`,_$=(q)=>`quick_gelu_impl(${q})`,Y$=(q,v)=>{let x=s6(q.inputs[0].dataType);q.compute(b6(q.inputs[0],"QuickGelu",_$,T7(x,v.alpha),v.cacheKey,q.inputs[0].dataType))}}),kV=q0(()=>{X6(),T6(),u6(),F7=(q)=>{if(q[0].dims.length!==3)throw Error("input should have 3 dimensions");if(![2560,5120,10240].includes(q[0].dims[2]))throw Error("hidden state should be 2560, 5120 or 10240");if(q[1].dims.length!==1)throw Error("bias is expected to have 1 dimensions");if(q[0].dims[2]!==q[1].dims[0])throw Error("last dimension of input and bias are not the same")},S$=(q)=>{let v=q[0].dims.slice();v[2]=v[2]/2;let x=u0("input",q[0].dataType,q[0].dims,4),P=u0("bias",q[0].dataType,[q[0].dims[2]],4),F=h5("output",q[0].dataType,v,4),M=B0.size(v)/4,K=N6(q[0].dataType);return{name:"BiasSplitGelu",getRunData:()=>({outputs:[{dims:v,dataType:q[0].dataType}],dispatchGroup:{x:Math.ceil(M/64)}}),getShaderSource:(C)=>` + const M_SQRT2 = sqrt(2.0); + const halfChannels = ${q[0].dims[2]/4/2}u; + + ${C.declareVariables(x,P,F)} + + ${p5(K)} + + ${C.mainStart()} + ${C.guardAgainstOutOfBoundsWorkgroupSizes(M)} + let biasIdx = global_idx % halfChannels; + let batchIndex = global_idx / halfChannels; + let inputOffset = biasIdx + batchIndex * halfChannels * 2; + let valueLeft = input[inputOffset] + bias[biasIdx]; + let valueRight = input[inputOffset + halfChannels] + bias[biasIdx + halfChannels]; + let geluRight = valueRight * 0.5 * (erf_vf32(valueRight / M_SQRT2) + 1); + + ${F.setByOffset("global_idx","valueLeft * geluRight")} + }`}},P$=(q)=>{F7(q.inputs),q.compute(S$(q.inputs))}}),IV=q0(()=>{q6(),X6(),T6(),y7=(q,v,x,P,F,M,K,C,h,m,u,d)=>{let o,a;typeof C=="string"?o=a=(Y0,k0)=>`${C}((${Y0}),(${k0}))`:typeof C=="function"?o=a=C:(o=C.scalar,a=C.vector);let j0,U0=h5("outputData",u,P.length,4),_0=u0("aData",h,v.length,4),H0=u0("bData",m,x.length,4);if(F)if(M){let Y0=B0.size(v)===1,k0=B0.size(x)===1,D0=v.length>0&&v[v.length-1]%4==0,b0=x.length>0&&x[x.length-1]%4==0;j0=Y0||k0?U0.setByOffset("global_idx",a(Y0?`${_0.type.value}(${_0.getByOffset("0")}.x)`:_0.getByOffset("global_idx"),k0?`${H0.type.value}(${H0.getByOffset("0")}.x)`:H0.getByOffset("global_idx"))):` + let outputIndices = ${U0.offsetToIndices("global_idx * 4u")}; + let offsetA = ${_0.broadcastedIndicesToOffset("outputIndices",U0)}; + let offsetB = ${H0.broadcastedIndicesToOffset("outputIndices",U0)}; + ${U0.setByOffset("global_idx",a(K||D0?_0.getByOffset("offsetA / 4u"):`${_0.type.value}(${_0.getByOffset("offsetA / 4u")}[offsetA % 4u])`,K||b0?H0.getByOffset("offsetB / 4u"):`${H0.type.value}(${H0.getByOffset("offsetB / 4u")}[offsetB % 4u])`))} + `}else j0=U0.setByOffset("global_idx",a(_0.getByOffset("global_idx"),H0.getByOffset("global_idx")));else{if(!M)throw Error("no necessary to use scalar implementation for element-wise binary op implementation.");let Y0=(k0,D0,b0="")=>{let m0=`aData[indexA${D0}][componentA${D0}]`,x5=`bData[indexB${D0}][componentB${D0}]`;return` + let outputIndices${D0} = ${U0.offsetToIndices(`global_idx * 4u + ${D0}u`)}; + let offsetA${D0} = ${_0.broadcastedIndicesToOffset(`outputIndices${D0}`,U0)}; + let offsetB${D0} = ${H0.broadcastedIndicesToOffset(`outputIndices${D0}`,U0)}; + let indexA${D0} = offsetA${D0} / 4u; + let indexB${D0} = offsetB${D0} / 4u; + let componentA${D0} = offsetA${D0} % 4u; + let componentB${D0} = offsetB${D0} % 4u; + ${k0}[${D0}] = ${b0}(${o(m0,x5)}); + `};j0=u===9?` + var data = vec4(0); + ${Y0("data",0,"u32")} + ${Y0("data",1,"u32")} + ${Y0("data",2,"u32")} + ${Y0("data",3,"u32")} + outputData[global_idx] = dot(vec4(0x1, 0x100, 0x10000, 0x1000000), vec4(data));`:` + ${Y0("outputData[global_idx]",0)} + ${Y0("outputData[global_idx]",1)} + ${Y0("outputData[global_idx]",2)} + ${Y0("outputData[global_idx]",3)} + `}return` + ${q.registerUniform("vec_size","u32").declareVariables(_0,H0,U0)} + + ${d??""} + + ${q.mainStart()} + ${q.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")} + ${j0} + }`},X$=(q,v,x,P,F,M,K=x.dataType)=>{let C=x.dims.map((U0)=>Number(U0)??1),h=P.dims.map((U0)=>Number(U0)??1),m=!B0.areEqual(C,h),u=C,d=B0.size(C),o=!1,a=!1,j0=[m];if(m){let U0=p6.calcShape(C,h,!1);if(!U0)throw Error("Can't perform binary op on the given tensors");u=U0.slice(),d=B0.size(u);let _0=B0.size(C)===1,H0=B0.size(h)===1,Y0=C.length>0&&C[C.length-1]%4==0,k0=h.length>0&&h[h.length-1]%4==0;j0.push(_0),j0.push(H0),j0.push(Y0),j0.push(k0);let D0=1;for(let b0=1;b0U0.toString()).join("_"),inputDependencies:["rank","rank"]},getShaderSource:(U0)=>y7(U0,C,h,u,o,m,a,F,x.dataType,P.dataType,K,M),getRunData:()=>({outputs:[{dims:u,dataType:K}],dispatchGroup:{x:Math.ceil(d/64/4)},programUniforms:[{type:12,data:Math.ceil(B0.size(u)/4)},...C5(C,h,u)]})}},C1=(q,v,x,P,F,M)=>{q.compute(X$(v,F??"",q.inputs[0],q.inputs[1],x,P,M))},z7=(q)=>{C1(q,"Add",(v,x)=>`${v}+${x}`)},T$=(q)=>{C1(q,"Div",(v,x)=>`${v}/${x}`)},F$=(q)=>{C1(q,"Equal",{scalar:(v,x)=>`u32(${v}==${x})`,vector:(v,x)=>`vec4(${v}==${x})`},void 0,void 0,9)},y$=(q)=>{C1(q,"Mul",(v,x)=>`${v}*${x}`)},z$=(q)=>{let v=u0("input",q.inputs[0].dataType,q.inputs[0].dims).type.value;C1(q,"Pow",{scalar:(x,P)=>`pow_custom(${x},${P})`,vector:(x,P)=>`pow_vector_custom(${x},${P})`},` + fn pow_custom(a : ${v}, b : ${v}) -> ${v} { + if (b == ${v}(0.0)) { + return ${v}(1.0); + } else if (a < ${v}(0.0) && f32(b) != floor(f32(b))) { + return ${v}(pow(f32(a), f32(b))); // NaN + } + return select(sign(a), ${v}(1.0), round(f32(abs(b) % ${v}(2.0))) != 1.0) * ${v}(${v==="i32"?"round":""}(pow(f32(abs(a)), f32(b)))); + } + fn pow_vector_custom(a : vec4<${v}>, b : vec4<${v}>) -> vec4<${v}> { + // TODO: implement vectorized pow + return vec4<${v}>(pow_custom(a.x, b.x), pow_custom(a.y, b.y), pow_custom(a.z, b.z), pow_custom(a.w, b.w)); + } + `)},k7=(q)=>{C1(q,"Sub",(v,x)=>`${v}-${x}`)},k$=(q)=>{C1(q,"Greater",{scalar:(v,x)=>`u32(${v}>${x})`,vector:(v,x)=>`vec4(${v}>${x})`},void 0,void 0,9)},I$=(q)=>{C1(q,"Less",{scalar:(v,x)=>`u32(${v}<${x})`,vector:(v,x)=>`vec4(${v}<${x})`},void 0,void 0,9)},I7=(q)=>{C1(q,"GreaterOrEqual",{scalar:(v,x)=>`u32(${v}>=${x})`,vector:(v,x)=>`vec4(${v}>=${x})`},void 0,void 0,9)},D$=(q)=>{C1(q,"LessOrEqual",{scalar:(v,x)=>`u32(${v}<=${x})`,vector:(v,x)=>`vec4(${v}<=${x})`},void 0,void 0,9)}}),DV=q0(()=>{q6(),X6(),S9(),T6(),W$=(q,v)=>{if(!q||q.length<1)throw Error("too few inputs");let x=q[0],P=x.dataType,F=x.dims.length;q.forEach((M,K)=>{if(K!==0){if(M.dataType!==P)throw Error("input tensors should be one type");if(M.dims.length!==F)throw Error("input tensors should have the same shape");M.dims.forEach((C,h)=>{if(h!==v&&C!==x.dims[h])throw Error("non concat dimensions must match")})}})},D7=(q,v)=>` + fn calculateInputIndex(index: u32) -> u32 { + let sizeInConcatAxis = array(${v}); + for (var i: u32 = 0u; i < ${q}; i += 1u ) { + if (index < sizeInConcatAxis[i]) { + return i; + } + } + return ${q}u; + }`,M$=(q,v)=>{let x=q.length,P=[];for(let F=0;F{let F=B0.size(x),M=Array(q.length),K=Array(q.length),C=0,h=[],m=[],u=[{type:12,data:F}];for(let j0=0;j0`uniforms.sizeInConcatAxis${j0}`).join(",");return{name:"Concat",shaderCache:{hint:`${v}`,inputDependencies:h},getRunData:()=>({outputs:[{dims:x,dataType:P}],dispatchGroup:{x:Math.ceil(F/64)},programUniforms:u}),getShaderSource:(j0)=>` + + ${(()=>{j0.registerUniform("outputSize","u32");for(let U0=0;U0(${a}); + ${o} -= sizeInConcatAxis[inputIndex - 1u]; + } + + ${M$(K,d)} + }`}},W7=(q,v)=>{let x=q.inputs,P=x[0].dims,F=B0.normalizeAxis(v.axis,P.length);W$(x,F);let M=P.slice();M[F]=x.reduce((C,h)=>C+(h.dims.length>F?h.dims[F]:0),0);let K=x.filter((C)=>B0.size(C.dims)>0);q.compute(K$(K,F,M,x[0].dataType),{inputs:K})},b$=(q)=>P6({axis:q.axis})}),Y4=q0(()=>{q6(),X6(),q3=(q,v,x="f32")=>{switch(q.activation){case"Relu":return`value = max(value, ${v}(0.0));`;case"Sigmoid":return`value = (${v}(1.0) / (${v}(1.0) + exp(-value)));`;case"Clip":return`value = clamp(value, ${v}(${x}(uniforms.clip_min)), ${v}(${x}(uniforms.clip_max)));`;case"HardSigmoid":return`value = max(${v}(0.0), min(${v}(1.0), ${x}(uniforms.alpha) * value + ${x}(uniforms.beta)));`;case"LeakyRelu":return`value = select(${x}(uniforms.alpha) * value, value, value >= ${v}(0.0));`;case"Tanh":return`let e2x = exp(-2.0 * abs(value)); + value = sign(value) * (1.0 - e2x) / (1.0 + e2x); + `;case"":return"";default:throw Error(`Unsupported activation ${q.activation}`)}},h2=(q,v)=>{q.activation==="Clip"?v.push({type:1,data:q.clipMax},{type:1,data:q.clipMin}):q.activation==="HardSigmoid"?v.push({type:1,data:q.alpha},{type:1,data:q.beta}):q.activation==="LeakyRelu"&&v.push({type:1,data:q.alpha})},V3=(q,v)=>{q.activation==="Clip"?v.push({name:"clip_max",type:"f32"},{name:"clip_min",type:"f32"}):q.activation==="HardSigmoid"?v.push({name:"alpha",type:"f32"},{name:"beta",type:"f32"}):q.activation==="LeakyRelu"&&v.push({name:"alpha",type:"f32"})},M7=(q)=>{let v=q?.activation||"";if(v==="HardSigmoid"){let[x,P]=q?.activation_params||[0.2,0.5];return{activation:v,alpha:x,beta:P}}if(v==="Clip"){let[x,P]=q?.activation_params||[u1,d1];return{activation:v,clipMax:P,clipMin:x}}if(v==="LeakyRelu"){let[x]=q?.activation_params||[0.01];return{activation:v,alpha:x}}return{activation:v}}}),f8=q0(()=>{u9=(q,v)=>{switch(q){case 1:return v;case 2:return`vec2<${v}>`;case 3:return`vec3<${v}>`;case 4:return`vec4<${v}>`;default:throw Error(`${q}-component is not supported.`)}},f$=(q)=>` + ${q?"value = value + getBiasByOutputCoords(coords);":""} + `}),lZ=q0(()=>{w$=(q)=>` +fn getIndexFromCoords4D(coords : vec4, shape : vec4) -> i32 { + return dot(coords, vec4( + shape.y * shape.z * shape.w, shape.z * shape.w, shape.w, 1)); +} +fn getOutputIndexFromCoords(coords : vec4) -> i32 { + return dot(coords, vec4( + i32(${q}.x), i32(${q}.y), i32(${q}.z), 1)); +} +`}),$G=q0(()=>{q6(),X6(),T6(),Y4(),t3=(q,v,x,P,F)=>{let M=P-x;return` + ${Array.from({length:x}).map((K,C)=>` + if (${B5(v.shape,C,v.rank)} != 1) { + ${v.indicesSet(q,C,B5(F,C+M,P))} + } else { + ${v.indicesSet(q,C,0)} + }`).join("")} +`},K7=(q,v,x,P,F=!1,M)=>{let K=q[0].dims,C=q[1].dims,h=K[K.length-2],m=C[C.length-1],u=K[K.length-1],d=k6(m),o=k6(u),a=k6(h),j0=B0.size(x)/d/a,U0=q.length>2,_0=P?P.slice(0,-2):x.slice(0,-2),H0=[B0.size(_0),h,m],Y0=[{type:12,data:j0},{type:12,data:h},{type:12,data:m},{type:12,data:u}];return h2(v,Y0),Y0.push(...C5(_0,K,C)),U0&&Y0.push(...C5(q[2].dims)),Y0.push(...C5(H0)),{name:"MatMulNaive",shaderCache:{hint:`${v.activation};${d};${o};${a};${F}`,inputDependencies:U0?["rank","rank","rank"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:M?M(x):x,dataType:q[0].dataType}],dispatchGroup:{x:Math.ceil(j0/64)},programUniforms:Y0}),getShaderSource:(k0)=>{let D0=s2("batch_dims",q[0].dataType,_0.length),b0=u0("a",q[0].dataType,K.length,o),m0=u0("b",q[1].dataType,C.length,d),x5=h5("output",q[0].dataType,H0.length,d),f5=N6(x5.type.tensor),c5=q3(v,x5.type.value,f5),l5=[b0,m0],G6="";if(U0){let A6=F?d:1;l5.push(u0("bias",q[2].dataType,q[2].dims.length,A6)),G6=F?`value += bias[col / ${A6}];`:`value += ${x5.type.value}(bias[row + i]);`}let y6=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"}];return V3(v,y6),` + ${k0.registerUniforms(y6).registerInternalVariables(D0).declareVariables(...l5,x5)} + ${k0.mainStart()} + ${k0.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let col = (global_idx % (uniforms.N / ${d})) * ${d}; + var index1 = global_idx / (uniforms.N / ${d}); + let stride1 = uniforms.M / ${a}; + let row = (index1 % stride1) * ${a}; + let batch = index1 / stride1; + + ${x.length===2?"":`let batch_indices = ${D0.offsetToIndices("batch")};`} + + var a_indices: ${b0.type.indices}; + ${t3("a_indices",b0,b0.rank-2,D0.rank,"batch_indices")} + ${b0.indicesSet("a_indices",b0.rank-2,0)} + ${b0.indicesSet("a_indices",b0.rank-1,0)} + let a_offset = ${b0.indicesToOffset("a_indices")}; + + var b_indices: ${m0.type.indices}; + ${t3("b_indices",m0,m0.rank-2,D0.rank,"batch_indices")} + ${m0.indicesSet("b_indices",m0.rank-2,0)} + ${m0.indicesSet("b_indices",m0.rank-1,0)} + let b_offset = ${m0.indicesToOffset("b_indices")}; + var values: array<${x5.type.value}, ${a}>; + for (var k: u32 = 0u; k < uniforms.K; k = k + ${o}) { + ${(()=>{let A6=`var a_data: ${b0.type.value};`;for(let w5=0;w5{q6(),X6(),T6(),Y4(),$G(),f8(),E$=(q,v)=>q?` + mm_Asub[inputRow][inputCol] = mm_readA(batch, + kStart + inputRow, + globalRowStart / innerElementSize + inputCol${v?", batchIndices":""}); + `:` + mm_Asub[inputRow][inputCol] = mm_readA(batch, + globalRow + innerRow, + kStart / innerElementSize + inputCol${v?", batchIndices":""}); + `,Q$=(q,v)=>q?` + let ACached0 = mm_Asub[k * innerElementSize][localRow]; + let ACached1 = mm_Asub[k * innerElementSize + 1][localRow]; + let ACached2 = mm_Asub[k * innerElementSize + 2][localRow]; + ${v===3?"":"let ACached3 = mm_Asub[k * innerElementSize + 3][localRow];"} + for (var i = 0; i < rowPerThread; i = i + 1) { + acc[i] = BCached0 * ACached0[i] + acc[i]; + acc[i] = BCached1 * ACached1[i] + acc[i]; + acc[i] = BCached2 * ACached2[i] + acc[i]; + ${v===3?"":"acc[i] = BCached3 * ACached3[i] + acc[i];"} + }`:` + for (var i = 0; i < rowPerThread; i = i + 1) { + let ACached = mm_Asub[tileRow + i][k]; + acc[i] = BCached0 * ACached.x + acc[i]; + acc[i] = BCached1 * ACached.y + acc[i]; + acc[i] = BCached2 * ACached.z + acc[i]; + ${v===3?"":"acc[i] = BCached3 * ACached.w + acc[i];"} + }`,b7=(q,v,x="f32",P,F=!1,M=32,K=!1,C=32)=>{let h=v[1]*q[1],m=v[0]*q[0],u=F?h:M,d=F?M:h,o=u/v[0],a=M/v[1];if((!F||o!==4||q[1]!==4)&&(F||o!==3&&o!==4)||u%v[0]!==0||M%v[1]!==0||q[0]!==4)throw Error(`If transposeA ${F} is true, innerElementSize ${o} and workPerThread[1] ${q[1]} must be 4. + Otherwise, innerElementSize ${o} must be 3 or 4. + tileAWidth ${u} must be divisible by workgroupSize[0]${v[0]}. tileInner ${M} must be divisible by workgroupSize[1] ${v[1]}. colPerThread ${q[0]} must be 4.`);return` +var mm_Asub: array, ${u/o}>, ${d}>; +var mm_Bsub: array, ${m/q[0]}>, ${M}>; + +const rowPerThread = ${q[1]}; +const colPerThread = ${q[0]}; +const innerElementSize = ${o}; +const tileInner = ${M}; + +@compute @workgroup_size(${v[0]}, ${v[1]}, ${v[2]}) +fn main(@builtin(local_invocation_id) localId : vec3, + @builtin(global_invocation_id) globalId : vec3, + @builtin(workgroup_id) workgroupId : vec3) { + let localRow = i32(localId.y); + let tileRow = localRow * rowPerThread; + let tileCol = i32(localId.x); + + let globalRow =i32(globalId.y) * rowPerThread; + let globalCol = i32(globalId.x); + let batch = ${K?"0":"i32(globalId.z)"}; + ${P?`let batchIndices = ${P.offsetToIndices("u32(batch)")};`:""} + let globalRowStart = i32(workgroupId.y) * ${h}; + + let num_tiles = ${K?`${Math.ceil(C/M)}`:"(uniforms.dim_inner - 1) / tileInner + 1"}; + var kStart = ${K?`i32(globalId.z) * ${C}`:"0"}; + + var acc: array, rowPerThread>; + + // Loop over shared dimension. + let tileRowB = localRow * ${a}; + for (var t = 0; t < num_tiles; t = t + 1) { + // Load one tile of A into local memory. + for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + let inputRow = tileRow + innerRow; + let inputCol = tileCol; + ${E$(F,P)} + } + + // Load one tile of B into local memory. + for (var innerRow = 0; innerRow < ${a}; innerRow = innerRow + 1) { + let inputRow = tileRowB + innerRow; + let inputCol = tileCol; + mm_Bsub[inputRow][inputCol] = mm_readB(batch, kStart + inputRow, globalCol${P?", batchIndices":""}); + } + kStart = kStart + tileInner; + workgroupBarrier(); + + // Compute acc values for a single thread. + for (var k = 0; k < tileInner / innerElementSize; k = k + 1) { + let BCached0 = mm_Bsub[k * innerElementSize][tileCol]; + let BCached1 = mm_Bsub[k * innerElementSize + 1][tileCol]; + let BCached2 = mm_Bsub[k * innerElementSize + 2][tileCol]; + ${o===3?"":"let BCached3 = mm_Bsub[k * innerElementSize + 3][tileCol];"} + + ${Q$(F,o)} + } + + workgroupBarrier(); + } + + for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + mm_write(batch, globalRow + innerRow, globalCol, acc[innerRow]); + } +}`},W4=(q,v)=>q?` + mm_Asub[inputRow][inputCol] = mm_readA(batch, + kStart + inputRow, + globalRowStart + inputCol${v?", batchIndices":""}); + `:` + mm_Asub[inputRow][inputCol] = mm_readA(batch, + globalRowStart + inputRow, + kStart + inputCol${v?", batchIndices":""}); + `,C$=(q)=>q?"let ACached = mm_Asub[k][tileRow + innerRow];":"let ACached = mm_Asub[tileRow + innerRow][k];",f7=(q,v,x="f32",P,F=!1,M=32,K=!1,C=32,h=!1)=>{let m=q[1]*v[1],u=q[0]*v[0],d=F?m:M,o=F?M:m;if(o%v[1]!==0||d%v[0]!==0||M%v[1]!==0)throw Error(`tileAHight ${o} must be divisible by workgroupSize[1]${v[1]}, tileAWidth ${d} must be divisible by workgroupSize[0]${v[0]}, tileInner ${M} must be divisible by workgroupSize[1]${v[1]}`);let a=o/v[1],j0=d/v[0],U0=M/v[1],_0=h?` + let localRow = i32(localId.y); + let localCol = i32(localId.x); + let globalRowStart = i32(workgroupId.y) * ${m}; + let globalColStart = i32(workgroupId.x) * ${u}; + + // Loop over shared dimension. + for (var t = 0; t < num_tiles; t = t + 1) { + // Load one tile of A into local memory. + for (var inputRow = localRow; inputRow < ${o}; inputRow = inputRow + ${v[1]}) { + for (var inputCol = localCol; inputCol < ${d}; inputCol = inputCol + ${v[0]}) { + ${W4(F,P)} + } + } + // Load one tile of B into local memory. + for (var inputRow = localRow; inputRow < ${M}; inputRow = inputRow + ${v[1]}) { + for (var inputCol = localCol; inputCol < ${u}; inputCol = inputCol + ${v[0]}) { + mm_Bsub[inputRow][inputCol] = mm_readB(batch, + kStart + inputRow, + globalColStart + inputCol${P?", batchIndices":""}); + } + } + kStart = kStart + tileInner; + workgroupBarrier(); + + // Compute acc values for a single thread. + var BCached : array<${x}, colPerThread>; + for (var k = 0; k < tileInner; k = k + 1) { + for (var inner = 0; inner < colPerThread; inner = inner + 1) { + BCached[inner] = mm_Bsub[k][localCol + inner * ${v[0]}]; + } + for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + let ACached = ${F?`mm_Asub[k][localRow + innerRow * ${v[1]}];`:`mm_Asub[localRow + innerRow * ${v[1]}][k];`} + for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) { + acc[innerRow][innerCol] = acc[innerRow][innerCol] + + ACached * BCached[innerCol]; + } + } + } + workgroupBarrier(); + } + for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + let gRow = globalRowStart + localRow + innerRow * ${v[1]}; + for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) { + let gCol = globalColStart + localCol + innerCol * ${v[0]}; + mm_write(batch, gRow, gCol, acc[innerRow][innerCol]); + } + } + `:` +let tileRow = i32(localId.y) * rowPerThread; +let tileCol = i32(localId.x) * colPerThread; + +let globalRow = i32(globalId.y) * rowPerThread; +let globalCol = i32(globalId.x) * colPerThread; +let globalRowStart = i32(workgroupId.y) * ${m}; + +let tileRowA = i32(localId.y) * ${a}; +let tileColA = i32(localId.x) * ${j0}; +let tileRowB = i32(localId.y) * ${U0}; +// Loop over shared dimension. +for (var t = 0; t < num_tiles; t = t + 1) { + // Load one tile of A into local memory. + for (var innerRow = 0; innerRow < ${a}; innerRow = innerRow + 1) { + for (var innerCol = 0; innerCol < ${j0}; innerCol = innerCol + 1) { + let inputRow = tileRowA + innerRow; + let inputCol = tileColA + innerCol; + ${W4(F,P)} + } + } + + // Load one tile of B into local memory. + for (var innerRow = 0; innerRow < ${U0}; innerRow = innerRow + 1) { + for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) { + let inputRow = tileRowB + innerRow; + let inputCol = tileCol + innerCol; + mm_Bsub[inputRow][inputCol] = mm_readB(batch, + kStart + inputRow, + globalCol + innerCol${P?", batchIndices":""}); + } + } + kStart = kStart + tileInner; + workgroupBarrier(); + + // Compute acc values for a single thread. + var BCached : array<${x}, colPerThread>; + for (var k = 0; k < tileInner; k = k + 1) { + for (var inner = 0; inner < colPerThread; inner = inner + 1) { + BCached[inner] = mm_Bsub[k][tileCol + inner]; + } + + for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + ${C$(F)} + for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) { + acc[innerRow][innerCol] = acc[innerRow][innerCol] + ACached * BCached[innerCol]; + } + } + } + + workgroupBarrier(); +} + +for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) { + mm_write(batch, globalRow + innerRow, globalCol + innerCol, + acc[innerRow][innerCol]); + } +} +`;return` + var mm_Asub : array, ${o}>; + var mm_Bsub : array, ${M}>; + const rowPerThread = ${q[1]}; + const colPerThread = ${q[0]}; + const tileInner = ${M}; + +@compute @workgroup_size(${v[0]}, ${v[1]}, ${v[2]}) +fn main(@builtin(local_invocation_id) localId : vec3, + @builtin(global_invocation_id) globalId : vec3, + @builtin(workgroup_id) workgroupId : vec3) { + let batch = ${K?"0":"i32(globalId.z)"}; + ${P?`let batchIndices = ${P.offsetToIndices("u32(batch)")};`:""} + let num_tiles = ${K?`${Math.ceil(C/M)}`:"(uniforms.dim_inner - 1) / tileInner + 1"}; + var kStart = ${K?`i32(globalId.z) * ${C}`:"0"}; + + var acc : array, rowPerThread>; + ${_0} + } +`},B$=(q,v,x,P,F=!1)=>{let[M,K,C,h]=P,m=N6(P[0].type.tensor);return` + fn mm_readA(batch: i32, row: i32, colIn: i32, batchIndices: ${M.type.indices}) -> ${u9(q,m)} { + var value = ${u9(q,m)}(0.0); + let col = colIn * ${q}; + if(row < uniforms.dim_a_outer && col < uniforms.dim_inner) + { + var aIndices: ${K.type.indices}; + ${t3("aIndices",K,K.rank-2,M.rank,"batchIndices")} + ${K.indicesSet("aIndices",K.rank-2,"u32(row)")} + ${K.indicesSet("aIndices",K.rank-1,"u32(colIn)")} + value = ${K.getByIndices("aIndices")}; + } + return value; + } + + fn mm_readB(batch: i32, row: i32, colIn: i32, batchIndices: ${M.type.indices}) -> ${u9(q,m)} { + var value = ${u9(q,m)}(0.0); + let col = colIn * ${q}; + if(row < uniforms.dim_inner && col < uniforms.dim_b_outer) + { + var bIndices: ${C.type.indices}; + ${t3("bIndices",C,C.rank-2,M.rank,"batchIndices")} + ${C.indicesSet("bIndices",C.rank-2,"u32(row)")} + ${C.indicesSet("bIndices",C.rank-1,"u32(colIn)")} + value = ${C.getByIndices("bIndices")}; + } + return value; + } + + fn mm_write(batch: i32, row: i32, colIn: i32, valueIn: ${u9(q,m)}) { + let col = colIn * ${q}; + if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer) { + var value = valueIn; + let coords = vec3(batch, row, colIn); + ${v?`value = value + ${F?"bias[colIn]":`${u9(q,m)}(bias[row])`};`:""} + ${x} + ${h.setByIndices("vec3(coords)","value")} + } + } + `},M4=(q,v,x,P,F=!1,M)=>{let K=q[0].dims,C=q[1].dims,h=K.slice(0,-2),m=C.slice(0,-2),u=P?P.slice(0,-2):x.slice(0,-2),d=B0.size(u),o=K[K.length-2],a=K[K.length-1],j0=C[C.length-1],U0=a%4==0&&j0%4==0,_0=o<=8?[4,1,1]:[4,4,1],H0=[8,8,1],Y0=[Math.ceil(j0/H0[0]/_0[0]),Math.ceil(o/H0[1]/_0[1]),Math.ceil(d/H0[2]/_0[2])],k0=U0?4:1,D0=[...h,o,a/k0],b0=D0.length,m0=[...m,a,j0/k0],x5=m0.length,f5=[d,o,j0/k0],c5=[{type:6,data:o},{type:6,data:j0},{type:6,data:a}];h2(v,c5),c5.push(...C5(u,D0,m0));let l5=["rank","rank"],G6=q.length>2;return G6&&(c5.push(...C5(q[2].dims)),l5.push("rank")),c5.push(...C5(f5)),{name:"MatMul",shaderCache:{hint:`${_0};${v.activation};${U0};${F}`,inputDependencies:l5},getRunData:()=>({outputs:[{dims:M?M(x):x,dataType:q[0].dataType}],dispatchGroup:{x:Y0[0],y:Y0[1],z:Y0[2]},programUniforms:c5}),getShaderSource:(y6)=>{let A6=u.length,w5=s2("batchDims",q[0].dataType,A6,1),i0=N6(q[0].dataType),z5=u0("a",q[0].dataType,b0,k0),s5=u0("b",q[1].dataType,x5,k0),r5=h5("result",q[0].dataType,f5.length,k0),P9=[z5,s5];if(G6){let fV=F?k0:1;P9.push(u0("bias",q[2].dataType,q[2].dims.length,fV))}let f6=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"}];V3(v,f6);let j1=N6(r5.type.tensor),a4=q3(v,r5.type.value,j1),Tq=B$(k0,G6,a4,[w5,z5,s5,r5],F);return` + ${y6.registerUniforms(f6).registerInternalVariables(w5).declareVariables(...P9,r5)} + ${Tq} + ${U0?b7(_0,H0,i0,w5):f7(_0,H0,i0,w5)} + `}}}}),oZ=q0(()=>{q6(),B1(),T6(),Y4(),f8(),lZ(),jG(),w7=(q,v,x,P,F=!1,M,K=4,C=4,h=4,m="f32")=>{let u=(f5)=>{switch(f5){case 1:return"return w[row * i32(uniforms.w_shape[3]) + colIn];";case 4:return"return w[row * i32(uniforms.w_shape[3]) / 4 + colIn];";default:throw Error(`innerElementSize ${f5} is not supported.`)}},d=q?` + let coord = vec4(batch, xRow, xCol, xCh); + `:` + let coord = vec4(batch, xCh, xRow, xCol); + `,o=q?` + let coords = vec4( + batch, + row / outWidth, + row % outWidth, + col); + `:` + let coords = vec4( + batch, + row, + col / outWidth, + col % outWidth); + `,a=q?"i32(uniforms.x_shape[1])":"i32(uniforms.x_shape[2])",j0=q?"i32(uniforms.x_shape[2])":"i32(uniforms.x_shape[3])",U0=q?"row":"col",_0=q?"col":"row",H0=` + let inChannels = i32(uniforms.w_shape[2]); + let outWidth = ${q?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"}; + let outRow = ${U0} / outWidth; + let outCol = ${U0} % outWidth; + + let WRow = ${_0} / (i32(uniforms.w_shape[1]) * inChannels); + let WCol = ${_0} / inChannels % i32(uniforms.w_shape[1]); + let xRow = outRow * uniforms.stride[0] + uniforms.dilation[0] * WRow - uniforms.pad[0]; + let xCol = outCol * uniforms.stride[1] + uniforms.dilation[1] * WCol - uniforms.pad[1]; + let xCh = ${_0} % inChannels; + var resData = ${u9(K,m)}(0.0); + // The bounds checking is always needed since we use it to pad zero for + // the 'same' padding type. + if (xRow >= 0 && xRow < ${a} && xCol >= 0 && xCol < ${j0}) { + ${d} + let xIndex = getIndexFromCoords4D(coord, vec4(uniforms.x_shape)); + ${((f5)=>{switch(f5){case 1:return"resData = x[xIndex];";case 3:return`resData = vec3<${m}>(x[xIndex], x[xIndex + 1], x[xIndex + 2]);`;case 4:return"resData = x[xIndex / 4];";default:throw Error(`innerElementSize ${f5} is not supported.`)}})(K)} + } + return resData;`,Y0=q?v&&P?` + let col = colIn * ${K}; + ${H0}`:` + let col = colIn * ${K}; + if (row < uniforms.dim_a_outer && col < uniforms.dim_inner) { + ${H0} + } + return ${u9(K,m)}(0.0);`:P&&x?` + let col = colIn * ${K}; + ${H0}`:` + let col = colIn * ${K}; + if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) { + ${H0} + } + return ${u9(K,m)}(0.0);`,k0=q?P&&x?u(C):` + let col = colIn * ${C}; + if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) { + ${u(C)} + } + return ${u9(C,m)}(0.0);`:` + let col = colIn * ${C}; + if (row < uniforms.dim_inner && col < uniforms.dim_a_outer) { + ${u(C)} + } + return ${u9(C,m)}(0.0);`,D0=u9(h,m),b0=u9(q?K:C,m),m0=u9(q?C:K,m),x5=q3(M,D0,m);return` + fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${b0} { + ${q?Y0:k0} + } + + fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${m0} { + ${q?k0:Y0} + } + + fn mm_write(batch: i32, row : i32, colIn : i32, valueIn : ${D0}) { + let col = colIn * ${h}; + if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer) + { + var value = valueIn; + let outWidth = ${q?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"}; + ${o} + ${f$(F)} + ${x5} + setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value); + } + }`},h$=(q,v,x,P,F,M,K,C,h)=>{let m=v.format==="NHWC",u=m?q[0].dims[3]:q[0].dims[1],d=x[0],o=m?x[2]:x[3],a=m?x[1]:x[2],j0=m?x[3]:x[1],U0=m&&(u%4==0||u%3==0)&&j0%4==0,_0=m?j0:o*a,H0=m?o*a:j0,Y0=[8,8,1],k0=P<=8?[4,1,1]:[4,4,1],D0=[Math.ceil(_0/Y0[0]/k0[0]),Math.ceil(H0/Y0[1]/k0[1]),Math.ceil(d/Y0[2]/k0[2])];L6("verbose",()=>`[conv2d_mm_webgpu] dispatch = ${D0}`);let b0=U0?m&&u%4!=0?3:4:1,m0=Y0[1]*k0[1],x5=Y0[0]*k0[0],f5=Math.max(Y0[0]*b0,Y0[1]),c5=P%m0===0,l5=F%x5===0,G6=M%f5===0,y6=U0?[b0,4,4]:[1,1,1],A6=[{type:6,data:P},{type:6,data:F},{type:6,data:M},{type:6,data:[v.pads[0],v.pads[1]]},{type:6,data:v.strides},{type:6,data:v.dilations}];h2(v,A6),A6.push(...C5(q[0].dims,q[1].dims));let w5=["rank","rank"];return K&&(A6.push(...C5(q[2].dims)),w5.push("rank")),A6.push(...C5(x)),{name:"Conv2DMatMul",shaderCache:{hint:`${v.cacheKey};${b0};${U0};${c5};${l5};${G6};${m0};${x5};${f5}`,inputDependencies:w5},getRunData:()=>({outputs:[{dims:h?h(x):x,dataType:q[0].dataType}],dispatchGroup:{x:D0[0],y:D0[1],z:D0[2]},programUniforms:A6}),getShaderSource:(i0)=>{let z5=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"},{name:"pad",type:"i32",length:2},{name:"stride",type:"i32",length:2},{name:"dilation",type:"i32",length:2}];V3(v,z5);let s5=U0?4:1,r5=N6(q[0].dataType),P9=` + fn setOutputAtIndex(flatIndex : i32, value : ${U0?`vec4<${r5}>`:r5}) { + result[flatIndex] = ${U0?`vec4<${r5}>`:r5}(value); + } + fn setOutputAtCoords(d0 : i32, d1 : i32, d2 : i32, d3 : i32, value : ${U0?`vec4<${r5}>`:r5}) { + let flatIndex = getOutputIndexFromCoords(vec4(d0, d1, d2, d3)); + setOutputAtIndex(flatIndex ${U0?"/ 4":""}, value); + }`,f6=[u0("x",q[0].dataType,q[0].dims.length,b0===3?1:b0),u0("w",q[1].dataType,q[1].dims.length,s5)],j1=h5("result",q[0].dataType,x.length,s5);if(K){let a4=u0("bias",q[2].dataType,q[2].dims.length,s5);f6.push(a4),P9+=` + fn getBiasByOutputCoords(coords : vec4) -> ${U0?`vec4<${r5}>`:r5} { + return bias[coords.${m?"w":"y"}${U0?"/ 4":""}]; + }`}return` + ${w$("uniforms.result_strides")} + //struct Uniforms { xShape : vec4, wShape : vec4, outShape : vec4, + // outShapeStrides: vec3, filterDims : vec2, pad : vec2, stride : vec2, + // dilation : vec2, dimAOuter : i32, dimBOuter : i32, dimInner : i32 }; + ${i0.registerUniforms(z5).declareVariables(...f6,j1)} + ${P9} + ${w7(m,c5,l5,G6,K,v,y6[0],y6[1],y6[2],r5)} + ${U0?b7(k0,Y0,r5,void 0,!m,f5):f7(k0,Y0,r5,void 0,!m,f5,!1,void 0,C)}`}}}}),AG=q0(()=>{q6(),B1(),X6(),T6(),Y4(),f8(),c$=(q)=>{let v=1;for(let x=0;xtypeof q=="number"?[q,q,q]:q,q4=(q,v)=>v<=1?q:q+(q-1)*(v-1),Q7=(q,v,x,P=1)=>{let F=q4(v,P);return Math.floor((q[0]*(x-1)-x+F)/2)},C7=(q,v,x,P,F)=>{F==null&&(F=Q7(q,v[0],P[0]));let M=[0,0,0,x];for(let K=0;K<3;K++)q[K]+2*F>=v[K]&&(M[K]=Math.trunc((q[K]-v[K]+2*F)/P[K]+1));return M},m$=(q,v,x,P,F,M,K,C,h,m)=>{let u,d,o,a;if(q==="VALID"&&(q=0),typeof q=="number"){u={top:q,bottom:q,left:q,right:q,front:q,back:q};let j0=C7([v,x,P,1],[C,h,m],1,[F,M,K],q);d=j0[0],o=j0[1],a=j0[2]}else if(Array.isArray(q)){if(!q.every((U0,_0,H0)=>U0===H0[0]))throw Error(`Unsupported padding parameter: ${q}`);u={top:q[0],bottom:q[1],left:q[2],right:q[3],front:q[4],back:q[5]};let j0=C7([v,x,P,1],[C,h,m],1,[F,M,K],q[0]);d=j0[0],o=j0[1],a=j0[2]}else{if(q!=="SAME_UPPER")throw Error(`Unknown padding parameter: ${q}`);{d=Math.ceil(v/F),o=Math.ceil(x/M),a=Math.ceil(P/K);let j0=(d-1)*F+C-v,U0=(o-1)*M+h-x,_0=(a-1)*K+m-P,H0=Math.floor(j0/2),Y0=j0-H0,k0=Math.floor(U0/2),D0=U0-k0,b0=Math.floor(_0/2);u={top:k0,bottom:D0,left:b0,right:_0-b0,front:H0,back:Y0}}}return{padInfo:u,outDepth:d,outHeight:o,outWidth:a}},p$=(q,v,x,P,F,M=!1,K="channelsLast")=>{let C,h,m,u,d;if(K==="channelsLast")[C,h,m,u,d]=q;else{if(K!=="channelsFirst")throw Error(`Unknown dataFormat ${K}`);[C,d,h,m,u]=q}let[o,,a,j0,U0]=v,[_0,H0,Y0]=E7(x),[k0,D0,b0]=E7(P),m0=q4(a,k0),x5=q4(j0,D0),f5=q4(U0,b0),{padInfo:c5,outDepth:l5,outHeight:G6,outWidth:y6}=m$(F,h,m,u,_0,H0,Y0,m0,x5,f5),A6=M?o*d:o,w5=[0,0,0,0,0];return K==="channelsFirst"?w5=[C,A6,l5,G6,y6]:K==="channelsLast"&&(w5=[C,l5,G6,y6,A6]),{batchSize:C,dataFormat:K,inDepth:h,inHeight:m,inWidth:u,inChannels:d,outDepth:l5,outHeight:G6,outWidth:y6,outChannels:A6,padInfo:c5,strideDepth:_0,strideHeight:H0,strideWidth:Y0,filterDepth:a,filterHeight:j0,filterWidth:U0,effectiveFilterDepth:m0,effectiveFilterHeight:x5,effectiveFilterWidth:f5,dilationDepth:k0,dilationHeight:D0,dilationWidth:b0,inShape:q,outShape:w5,filterShape:v}},A$=(q,v,x,P,F,M)=>{let K=M==="channelsLast";K?q[0].dims[3]:q[0].dims[1];let C={x:x.map((o,a)=>a)},h=[Math.ceil(c$(C.x.map((o)=>x[o]))/64),1,1];L6("verbose",()=>`[conv3d_naive_webgpu] dispatch = ${h}`);let m=[{type:12,data:B0.size(x)},{type:12,data:P},{type:12,data:F},{type:12,data:v.strides},{type:12,data:v.dilations}];h2(v,m),m.push(...C5(q[0].dims,q[1].dims));let u=["rank","rank"],d=q.length===3;return d&&(m.push(...C5(q[2].dims)),u.push("rank")),m.push(...C5(x)),{name:"Conv3DNaive",shaderCache:{hint:`${v.cacheKey};${K};1;${d}`,inputDependencies:u},getRunData:()=>({outputs:[{dims:x,dataType:q[0].dataType}],dispatchGroup:{x:h[0],y:h[1],z:h[2]},programUniforms:m}),getShaderSource:(o)=>{let a=[{name:"output_size",type:"u32"},{name:"filter_dims",type:"u32",length:P.length},{name:"pads",type:"u32",length:F.length},{name:"strides",type:"u32",length:v.strides.length},{name:"dilations",type:"u32",length:v.dilations.length}];V3(v,a);let j0=N6(q[0].dataType),U0=u0("x",q[0].dataType,q[0].dims.length,1),_0=u0("W",q[1].dataType,q[1].dims.length,1),H0=[U0,_0],Y0=h5("result",q[0].dataType,x.length,1),k0="";if(d){let m0=u0("bias",q[2].dataType,q[2].dims.length,1);H0.push(m0),k0+=` + fn getBiasByOutputCoords(coords : array) -> ${j0} { + return bias[${B5("coords",K?4:1,5)}]; + }`}let D0=u9(1,j0),b0=q3(v,D0,j0);return` + ${k0} + fn getX(d0 : u32, d1 : u32, d2 : u32, d3 : u32, d4 : u32) -> f32 { + let aIndices = array(d0, d1, d2, d3, d4); + return ${U0.getByIndices("aIndices")}; + } + fn getW(d0 : u32, d1 : u32, d2 : u32, d3 : u32, d4 : u32) -> f32 { + let aIndices = array(d0, d1, d2, d3, d4); + return ${_0.getByIndices("aIndices")}; + } + ${o.registerUniforms(a).declareVariables(...H0,Y0)} + ${o.mainStart()} + ${o.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let coords = ${Y0.offsetToIndices("global_idx")}; + let batch = ${B5("coords",0,U0.rank)}; + let d2 = ${B5("coords",K?U0.rank-1:1,U0.rank)}; + let xFRCCorner = vec3(${B5("coords",K?1:2,U0.rank)}, + ${B5("coords",K?2:3,U0.rank)}, + ${B5("coords",K?3:4,U0.rank)}) * uniforms.strides - uniforms.pads; + let xFCorner = xFRCCorner.x; + let xRCorner = xFRCCorner.y; + let xCCorner = xFRCCorner.z; + let xShapeY = ${B5("uniforms.x_shape",K?1:2,U0.rank)}; + let xShapeZ = ${B5("uniforms.x_shape",K?2:3,U0.rank)}; + let xShapeW = ${B5("uniforms.x_shape",K?3:4,U0.rank)}; + let xShapeU = ${B5("uniforms.x_shape",K?4:1,U0.rank)}; + let inputDepthNearestVec4 = (xShapeU / 4) * 4; + let inputDepthVec4Remainder = xShapeU % 4; + + var value = 0.0; + for (var wF = 0u; wF < uniforms.filter_dims[0]; wF++) { + let xF = xFCorner + wF * uniforms.dilations[0]; + if (xF < 0 || xF >= xShapeY) { + continue; + } + + for (var wR = 0u; wR < uniforms.filter_dims[1]; wR++) { + let xR = xRCorner + wR * uniforms.dilations[1]; + if (xR < 0 || xR >= xShapeZ) { + continue; + } + + for (var wC = 0u; wC < uniforms.filter_dims[2]; wC++) { + let xC = xCCorner + wC * uniforms.dilations[2]; + if (xC < 0 || xC >= xShapeW) { + continue; + } + + for (var d1 = 0u; d1 < inputDepthNearestVec4; d1 += 4) { + ${K?`let xValues = vec4( + getX(batch, xF, xR, xC, d1), + getX(batch, xF, xR, xC, d1 + 1), + getX(batch, xF, xR, xC, d1 + 2), + getX(batch, xF, xR, xC, d1 + 3)); + `:`let xValues = vec4( + getX(batch, d1, xF, xR, xC), + getX(batch, d1 + 1, xF, xR, xC), + getX(batch, d1 + 2, xF, xR, xC), + getX(batch, d1 + 3, xF, xR, xC)); + `} + let wValues = vec4( + getW(d2, d1, wF, wR, wC), + getW(d2, d1 + 1, wF, wR, wC), + getW(d2, d1 + 2, wF, wR, wC), + getW(d2, d1 + 3, wF, wR, wC)); + value += dot(xValues, wValues); + } + if (inputDepthVec4Remainder == 1) { + ${K?`value += getX(batch, xF, xR, xC, inputDepthNearestVec4) + * getW(d2, inputDepthNearestVec4, wF, wR, wC);`:`value += getX(batch, inputDepthNearestVec4, xF, xR, xC) + * getW(d2, inputDepthNearestVec4, wF, wR, wC);`} + } else if (inputDepthVec4Remainder == 2) { + ${K?`let xValues = vec2( + getX(batch, xF, xR, xC, inputDepthNearestVec4), + getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1)); + `:`let xValues = vec2( + getX(batch, inputDepthNearestVec4, xF, xR, xC), + getX(batch, inputDepthNearestVec4 + 1, xF, xR, xC)); + `} + let wValues = vec2( + getW(d2, inputDepthNearestVec4, wF, wR, wC), + getW(d2, inputDepthNearestVec4 + 1, wF, wR, wC)); + value += dot(xValues, wValues); + } else if (inputDepthVec4Remainder == 3) { + ${K?`let xValues = vec3( + getX(batch, xF, xR, xC, inputDepthNearestVec4), + getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1), + getX(batch, xF, xR, xC, inputDepthNearestVec4 + 2)); + `:`let xValues = vec3( + getX(batch, inputDepthNearestVec4, xF, xR, xC), + getX(batch, inputDepthNearestVec4 + 1, xF, xR, xC), + getX(batch, inputDepthNearestVec4 + 2, xF, xR, xC)); + `} + let wValues = vec3( + getW(d2, inputDepthNearestVec4, wF, wR, wC), + getW(d2, inputDepthNearestVec4 + 1, wF, wR, wC), + getW(d2, inputDepthNearestVec4 + 2, wF, wR, wC)); + value += dot(xValues, wValues); + } + } + } + } + ${d?"value = value + getBiasByOutputCoords(coords)":""}; + ${b0} + result[global_idx] = f32(value); + }`}}}}),gG=q0(()=>{q6(),X6(),T6(),Y4(),B7=(q,v,x,P)=>{let F=q.length>2,M=F?"value += b[output_channel];":"",K=q[0].dims,C=q[1].dims,h=v.format==="NHWC",m=h?x[3]:x[1],u=m/v.group,d=h&&u>=4?k6(m):1,o=B0.size(x)/d,a=[{type:12,data:o},{type:12,data:v.dilations},{type:12,data:[v.strides[0],v.strides[1]]},{type:12,data:[v.pads[0],v.pads[1]]},{type:12,data:u}];h2(v,a),a.push(...C5(K,[C[0],C[1],C[2],C[3]/d]));let j0=F?["rank","rank","rank"]:["rank","rank"];return a.push(...C5([x[0],x[1],x[2],x[3]/d])),{name:"GroupedConv",shaderCache:{hint:`${v.cacheKey}_${d}`,inputDependencies:j0},getRunData:()=>({outputs:[{dims:P?P(x):x,dataType:q[0].dataType}],dispatchGroup:{x:Math.ceil(o/64)},programUniforms:a}),getShaderSource:(U0)=>{let _0=h5("output",q[0].dataType,x.length,d),H0=N6(_0.type.tensor),Y0=q3(v,_0.type.value,H0),k0=u0("x",q[0].dataType,K.length),D0=u0("w",q[1].dataType,C.length,d),b0=[k0,D0];F&&b0.push(u0("b",q[2].dataType,q[2].dims,d));let m0=[{name:"output_size",type:"u32"},{name:"dilations",type:"u32",length:v.dilations.length},{name:"strides",type:"u32",length:2},{name:"pads",type:"u32",length:2},{name:"output_channels_per_group",type:"u32"}];V3(v,m0);let x5=h?` + for (var wHeight: u32 = 0u; wHeight < uniforms.w_shape[0]; wHeight++) { + let xHeight = xRCCorner.x + wHeight * uniforms.dilations[0]; + + if (xHeight < 0u || xHeight >= uniforms.x_shape[1]) { + continue; + } + + for (var wWidth: u32 = 0u; wWidth < uniforms.w_shape[1]; wWidth++) { + let xWidth = xRCCorner.y + wWidth * uniforms.dilations[1]; + if (xWidth < 0u || xWidth >= uniforms.x_shape[2]) { + continue; + } + + for (var wInChannel: u32 = 0u; wInChannel < uniforms.w_shape[2]; wInChannel++) { + let input_channel = in_channel_offset + wInChannel; + let xVal = ${k0.get("batch","xHeight","xWidth","input_channel")}; + let wVal = ${D0.get("wHeight","wWidth","wInChannel","output_channel")}; + value += xVal * wVal; + } + } + } + `:` + for (var wInChannel: u32 = 0u; wInChannel < uniforms.w_shape[1]; wInChannel++) { + let input_channel = in_channel_offset + wInChannel; + for (var wHeight: u32 = 0u; wHeight < uniforms.w_shape[2]; wHeight++) { + let xHeight = xRCCorner.x + wHeight * uniforms.dilations[0]; + + if (xHeight < 0u || xHeight >= uniforms.x_shape[2]) { + continue; + } + + for (var wWidth: u32 = 0u; wWidth < uniforms.w_shape[3]; wWidth++) { + let xWidth = xRCCorner.y + wWidth * uniforms.dilations[1]; + if (xWidth < 0u || xWidth >= uniforms.x_shape[3]) { + continue; + } + + let xVal = ${k0.get("batch","input_channel","xHeight","xWidth")}; + let wVal = ${D0.get("output_channel","wInChannel","wHeight","wWidth")}; + value += xVal * wVal; + } + } + } + `;return` + ${U0.registerUniforms(m0).declareVariables(...b0,_0)} + + ${U0.mainStart()} + ${U0.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + + let outputIndices = ${_0.offsetToIndices("global_idx")}; + let batch: u32 = outputIndices[0]; + let output_channel: u32 = outputIndices[${h?3:1}]; + let xRCCorner: vec2 = vec2(outputIndices[${h?1:2}], outputIndices[${h?2:3}]) * uniforms.strides - uniforms.pads; + let group_id: u32 = output_channel * ${d} / uniforms.output_channels_per_group; + var in_channel_offset = group_id * uniforms.w_shape[${h?2:1}]; + + var value: ${_0.type.value} = ${_0.type.value}(0); + ${x5} + ${M} + ${Y0} + ${_0.setByOffset("global_idx","value")} + }`}}},g$=(q,v,x,P)=>{let F=q.length>2,M=k6(x[3]),K=k6(x[2]),C=B0.size(x)/M/K,h=[q[0].dims[0],q[0].dims[1],q[0].dims[2],q[0].dims[3]/M],m=[q[1].dims[0],q[1].dims[1],q[1].dims[2],q[1].dims[3]/M],u=[x[0],x[1],x[2],x[3]/M],d=[{type:12,data:C},{type:6,data:[v.strides[0],v.strides[1]]},{type:6,data:[v.pads[0],v.pads[1]]}];h2(v,d),d.push(...C5(h,m,u));let o=(K-1)*v.strides[1]+m[1];return{name:"GroupedConv-Vectorize",shaderCache:{hint:`${v.cacheKey};${M};${K};${o};${m[0]};${m[1]}`,inputDependencies:F?["rank","rank","type"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:P?P(x):x,dataType:q[0].dataType}],dispatchGroup:{x:Math.ceil(C/64)},programUniforms:d}),getShaderSource:(a)=>{let j0=h5("output",q[0].dataType,u.length,M),U0=N6(j0.type.tensor),_0=q3(v,j0.type.value,U0),H0=u0("x",q[0].dataType,h.length,M),Y0=u0("w",q[1].dataType,m.length,M),k0=[H0,Y0];F&&k0.push(u0("b",q[2].dataType,q[2].dims,M));let D0=F?"value += b[output_channel];":"",b0=[{name:"output_size",type:"u32"},{name:"strides",type:"i32",length:2},{name:"pads",type:"i32",length:2}];return V3(v,b0),` + ${a.registerUniforms(b0).declareVariables(...k0,j0)} + ${a.mainStart()} + ${a.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let width0 = uniforms.output_shape[3]; + let output_channel = global_idx % width0; + var index1 = global_idx / width0; + let width1 = uniforms.output_shape[2] / ${K}u; + let col = (index1 % width1) * ${K}u; + index1 = index1 / width1; + let row = index1 % uniforms.output_shape[1]; + let batch = index1 / uniforms.output_shape[1]; + + let x_corner = vec2(i32(row), i32(col)) * uniforms.strides - uniforms.pads; + + var x_vals: array<${H0.type.value}, ${o}>; + var values: array<${j0.type.value}, ${K}>; + let input_channel = output_channel; + // Use constant instead of uniform can give better performance for w's height/width. + for (var w_height: u32 = 0u; w_height < ${m[0]}; w_height++) { + let x_height = x_corner.x + i32(w_height); + if (x_height >= 0 && u32(x_height) < uniforms.x_shape[1]) { + for (var i = 0; i < ${o}; i++) { + let x_width = x_corner.y + i; + if (x_width >= 0 && u32(x_width) < uniforms.x_shape[2]) { + x_vals[i] = ${H0.get("batch","u32(x_height)","u32(x_width)","input_channel")}; + } else { + x_vals[i] = ${H0.type.value}(0); + } + } + for (var w_width: u32 = 0u; w_width < ${m[1]}; w_width++) { + let w_val = ${Y0.get("w_height","w_width","0","output_channel")}; + for (var i = 0u; i < ${K}u; i++) { + values[i] = fma(x_vals[i * u32(uniforms.strides[1]) + w_width], w_val, values[i]); + } + } + } + } + + for (var i = 0u; i < ${K}u; i++) { + var value = values[i]; + ${D0} + ${_0} + ${j0.set("batch","row","col + i","output_channel","value")}; + } + }`}}}}),WV=q0(()=>{X6(),oZ(),AG(),jG(),gG(),Y4(),$G(),m2(),u$=(q,v,x,P,F,M)=>{let K=q[0],C=q.slice(M?1:2,M?3:4),h=C.length,m=v[0],u=v.slice(2).map((o,a)=>o+(o-1)*(x[a]-1)),d=C.map((o,a)=>o+P[a]+P[a+h]).map((o,a)=>Math.floor((o-u[a]+F[a])/F[a]));return d.splice(0,0,K),d.splice(M?3:1,0,m),d},V4=[2,3,1,0],d$=(q,v)=>{if(!q||q.length!==2&&q.length!==3)throw Error("Conv requires 2 or 3 inputs");if(q[0].dims.length>5)throw Error("greater than 5D is not supported");if(q[0].dims.length!==q[1].dims.length)throw Error("filter does not have same dimension as input");if(q[0].dims[v.format==="NHWC"?q[0].dims.length-1:1]!==q[1].dims[1]*v.group)throw Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");if(q.length===3&&(q[2].dims.length!==1||q[1].dims[0]!==q[2].dims[0]))throw Error("invalid bias");let x=q[0].dims.length-2;if(v.dilations.length!==x)throw Error(`dilations should be ${x}D`);if(v.strides.length!==x)throw Error(`strides should be ${x}D`);if(v.pads.length!==2*x)throw Error(`pads should be ${2*x}D`);if(v.kernelShape.length!==0&&v.kernelShape.length!==q[1].dims.length-2)throw Error("invalid kernel shape")},K4=(q,v)=>{let x=q.kernelShape.slice();x.length{let v=M7(q),x=q.format;return{autoPad:["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][q.auto_pad],format:x,dilations:q.dilations,group:q.group,kernelShape:q.kernel_shape,pads:q.pads,strides:q.strides,wIsConst:q.w_is_const(),...v,cacheKey:`${q.format};${v.activation};`}},h7=(q,v,x,P)=>{let F=x.format==="NHWC",M=u$(v[0].dims,v[1].dims,x.dilations,x.pads,x.strides,F);if(x.group!==1){let b0=[v[0]];if(F){let m0=q.kernelCustomData.wT??q.compute(A9(v[1],V4),{inputs:[1],outputs:[x.wIsConst?-2:-1]})[0];x.wIsConst&&!q.kernelCustomData.wT&&(q.kernelCustomData.wT=m0),b0.push(m0)}else b0.push(v[1]);return v.length===3&&b0.push(v[2]),void(!q.adapterInfo.isArchitecture("ampere")&&F&&v[1].dims[0]===x.group&&v[1].dims[1]===1&&x.dilations[0]===1&&x.dilations[1]===1?q.compute(g$(b0,x,M,P),{inputs:b0}):q.compute(B7(b0,x,M,P),{inputs:b0}))}let K=v.length===3,C=v[0].dims[F?1:2],h=v[0].dims[F?2:3],m=v[0].dims[F?3:1],u=v[1].dims[2],d=v[1].dims[3],o=M[F?1:2],a=M[F?2:3],j0=M[F?3:1],U0=F&&u===C&&d===h&&x.pads[0]===0&&x.pads[1]===0;if(U0||u===1&&d===1&&x.dilations[0]===1&&x.dilations[1]===1&&x.strides[0]===1&&x.strides[1]===1&&x.pads[0]===0&&x.pads[1]===0){let b0,m0,x5,f5=M[0],c5=[];if(F){let y6=q.kernelCustomData.wT??q.compute(A9(v[1],V4),{inputs:[1],outputs:[x.wIsConst?-2:-1]})[0];if(x.wIsConst&&!q.kernelCustomData.wT&&(q.kernelCustomData.wT=y6),U0){let A6=C*h*m;b0=v[0].reshape([1,f5,A6]),m0=y6.reshape([1,A6,j0]),x5=[1,f5,j0]}else b0=v[0].reshape([f5,C*h,m]),m0=y6.reshape([1,m,j0]),x5=[f5,o*a,j0];c5.push(b0),c5.push(m0)}else b0=v[0].reshape([f5,m,C*h]),m0=v[1].reshape([1,j0,m]),x5=[f5,j0,o*a],c5.push(m0),c5.push(b0);K&&c5.push(v[2]);let l5=x5[2],G6=c5[0].dims[c5[0].dims.length-1];return void(l5<8&&G6<8?q.compute(K7(c5,x,M,x5,F,P),{inputs:c5}):q.compute(M4(c5,x,M,x5,F,P),{inputs:c5}))}let _0=q.kernelCustomData.wT??q.compute(A9(v[1],V4),{inputs:[1],outputs:[x.wIsConst?-2:-1]})[0];x.wIsConst&&!q.kernelCustomData.wT&&(q.kernelCustomData.wT=_0);let H0=[v[0],_0];K&&H0.push(v[2]);let Y0=F?o*a:j0,k0=F?j0:o*a,D0=u*d*m;q.compute(h$(H0,x,M,Y0,k0,D0,K,!0,P),{inputs:H0})},l$=(q,v)=>{let x=v.format==="NHWC",P=[q.inputs[0].reshape(x?[q.inputs[0].dims[0],1,q.inputs[0].dims[1],q.inputs[0].dims[2]]:[q.inputs[0].dims[0],q.inputs[0].dims[1],1,q.inputs[0].dims[2]]),q.inputs[1].reshape([q.inputs[1].dims[0],q.inputs[1].dims[1],1,q.inputs[1].dims[2]])];q.inputs.length===3&&P.push(q.inputs[2]);let F=[0,v.pads[0],0,v.pads[1]],M=[1].concat(v.strides),K=[1].concat(v.dilations),C=[1].concat(v.kernelShape),h=K4({...v,pads:F,strides:M,dilations:K,kernelShape:C},P);h7(q,P,h,(m)=>x?[m[0],m[2],m[3]]:[m[0],m[1],m[3]])},c7=(q,v,x)=>{let P=x.format==="NHWC"?"channelsLast":"channelsFirst",F=K4(x,v),M=x.autoPad==="NOTSET"?x.pads:x.autoPad,K=p$(v[0].dims,v[1].dims,x.strides,x.dilations,M,!1,P);q.compute(A$(v,F,K.outShape,[K.filterDepth,K.filterHeight,K.filterWidth],[K.padInfo.front,K.padInfo.top,K.padInfo.left],P))},m7=(q,v)=>{if(d$(q.inputs,v),q.inputs[0].dims.length===3)l$(q,v);else if(q.inputs[0].dims.length===5)c7(q,q.inputs,v);else{let x=K4(v,q.inputs);h7(q,q.inputs,x)}}}),sZ=q0(()=>{q6(),B1(),X6(),T6(),o$=(q,v,x)=>{let P=q.length>2,F=v.outputShape,M=v.format==="NHWC",K=v.group,C=q[1].dims,h=C[2]/K,m=C[3],u=M?k6(h):1,d=M&&m===1&&h>=4,o=d?4*Math.floor(h/4):Math.floor(h/u)*u,a=h-o,j0=M?k6(m):1,U0=M?m===1?u:j0:1,_0=B0.size(F)/j0,H0=[Math.ceil(_0/64),1,1];L6("verbose",()=>`[conv2d_backprop_webgpu] dispatch = ${H0}`);let Y0=["rank","rank"],k0=[v.strides[0],v.strides[1]],D0=[v.kernelShape[M?1:2],v.kernelShape[M?2:3]],b0=[v.dilations[0],v.dilations[1]],m0=[D0[0]+(v.dilations[0]<=1?0:(v.kernelShape[M?1:2]-1)*(v.dilations[0]-1)),D0[1]+(v.dilations[1]<=1?0:(v.kernelShape[M?2:3]-1)*(v.dilations[1]-1))],x5=[m0[0]-1-Math.floor((v.pads[0]+v.pads[2])/2),m0[1]-1-Math.floor((v.pads[1]+v.pads[3])/2)],f5=[{type:12,data:_0},{type:12,data:k0},{type:12,data:D0},{type:12,data:b0},{type:12,data:m0},{type:6,data:x5},{type:12,data:o},{type:12,data:h},{type:12,data:m},...C5(q[0].dims,q[1].dims)];return P&&(f5.push(...C5(q[2].dims)),Y0.push("rank")),f5.push(...C5(F)),{name:"ConvTranspose2D",shaderCache:{hint:`${v.cacheKey};${u}${U0}${j0}${d}${a}`,inputDependencies:Y0},getRunData:()=>({dispatchGroup:{x:H0[0],y:H0[1],z:H0[2]},outputs:[{dims:x?x(F):F,dataType:q[0].dataType}],programUniforms:f5}),getShaderSource:(c5)=>{let l5=[{name:"output_size",type:"u32"},{name:"strides",type:"u32",length:k0.length},{name:"filter_dims",type:"u32",length:D0.length},{name:"dilations",type:"u32",length:D0.length},{name:"effective_filter_dims",type:"u32",length:m0.length},{name:"pads",type:"i32",length:x5.length},{name:"input_channels_per_group_int",type:"u32"},{name:"input_channels_per_group",type:"u32"},{name:"output_channels_per_group",type:"u32"}],G6=N6(q[0].dataType),y6=M?1:2,A6=M?2:3,w5=M?3:1,i0=u0("W",q[1].dataType,q[1].dims.length,U0),z5=u0("Dy",q[0].dataType,q[0].dims.length,u),s5=[z5,i0];P&&s5.push(u0("bias",q[2].dataType,[F[w5]].length,j0));let r5=h5("result",q[0].dataType,F.length,j0),P9=` + let outputIndices = ${r5.offsetToIndices(`global_idx * ${j0}`)}; + let batch = ${r5.indicesGet("outputIndices",0)}; + let d1 = ${r5.indicesGet("outputIndices",w5)}; + let r = ${r5.indicesGet("outputIndices",y6)}; + let c = ${r5.indicesGet("outputIndices",A6)}; + let dyCorner = vec2(i32(r), i32(c)) - uniforms.pads; + let dyRCorner = dyCorner.x; + let dyCCorner = dyCorner.y; + let groupId = d1 / uniforms.output_channels_per_group; + let wOutChannel = d1 - groupId * uniforms.output_channels_per_group; + // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1). + // ? = to be determined. : = across all values in that axis. + var dotProd = ${r5.type.value}(0.0); + var wR: u32 = 0; + if (uniforms.dilations.x == 1) { + // Minimum wR >= 0 that satisfies (dyRCorner + wR) % (uniforms.strides.x) == 0 + wR = u32(((dyRCorner + i32(uniforms.strides.x) - 1) / i32(uniforms.strides.x)) * i32(uniforms.strides.x) - dyRCorner); + } + for (; wR < uniforms.effective_filter_dims.x; wR = wR + 1) { + if (wR % uniforms.dilations.x != 0) { + continue; + } + let dyR = (${G6}(dyRCorner) + ${G6}(wR)) / ${G6}(uniforms.strides[0]); + let wRPerm = uniforms.filter_dims.x - 1 - wR / uniforms.dilations.x; + if (dyR < 0.0 || dyR >= ${G6}(uniforms.Dy_shape[${y6}]) || fract(dyR) > 0.0 || + wRPerm < 0) { + continue; + } + let idyR: u32 = u32(dyR); + var wC: u32 = 0; + if (uniforms.dilations.y == 1) { + // Minimum wC >= 0 that satisfies (dyCCorner + wC) % (uniforms.strides.y) == 0 + wC = u32(((dyCCorner + i32(uniforms.strides.y) - 1) / i32(uniforms.strides.y)) * i32(uniforms.strides.y) - dyCCorner); + } + for (; wC < uniforms.effective_filter_dims.y; wC = wC + 1) { + if (wC % uniforms.dilations.y != 0) { + continue; + } + let dyC = (${G6}(dyCCorner) + ${G6}(wC)) / ${G6}(uniforms.strides.y); + let wCPerm = uniforms.filter_dims.y - 1 - wC / uniforms.dilations.y; + if (dyC < 0.0 || dyC >= ${G6}(uniforms.Dy_shape[${A6}]) || + fract(dyC) > 0.0 || wCPerm < 0) { + continue; + } + let idyC: u32 = u32(dyC); + var inputChannel = groupId * uniforms.input_channels_per_group; + ${d?` + var x_offset = ${z5.indicesToOffset(`${z5.type.indices}(batch, idyR, idyC, inputChannel)`)} / ${u}; + var w_offset = ${i0.indicesToOffset(`${i0.type.indices}(wRPerm, wCPerm, inputChannel, wOutChannel)`)} / ${U0}; + `:""} + for (var d2: u32 = 0; d2 < uniforms.input_channels_per_group_int; d2 = d2 + ${d?4:u}) { + ${(()=>{let f6="";if(d)u===4?f6+=` + let xValue = ${z5.getByOffset("x_offset")}; + let wValue = ${i0.getByOffset("w_offset")}; + dotProd = dotProd + dot(xValue, wValue); + x_offset += 1u; + w_offset += 1u;`:u===2?f6+=` + dotProd = dotProd + dot(vec4<${G6}>(${z5.getByOffset("x_offset")}, ${z5.getByOffset("x_offset + 1u")}), vec4<${G6}>(${i0.getByOffset("w_offset")}, ${i0.getByOffset("w_offset + 1u")})); + x_offset += 2u; + w_offset += 2u;`:u===1&&(f6+=` + dotProd = dotProd + dot(vec4<${G6}>(${z5.getByOffset("x_offset")}, ${z5.getByOffset("x_offset + 1u")}, ${z5.getByOffset("x_offset + 2u")}, ${z5.getByOffset("x_offset + 3u")}), vec4<${G6}>(${i0.getByOffset("w_offset")}, ${i0.getByOffset("w_offset + 1u")}, ${i0.getByOffset("w_offset + 2u")}, ${i0.getByOffset("w_offset + 3u")})); + x_offset += 4u; + w_offset += 4u;`);else if(f6+=` + let xValue = ${M?z5.getByOffset(`${z5.indicesToOffset(`${z5.type.indices}(batch, idyR, idyC, inputChannel)`)} / ${u}`):z5.get("batch","inputChannel","idyR","idyC")}; + `,u===1)f6+=` + let w_offset = ${i0.indicesToOffset(`${i0.type.indices}(u32(wRPerm), u32(wCPerm), inputChannel, wOutChannel)`)}; + let wValue = ${i0.getByOffset(`w_offset / ${U0}`)}; + dotProd = dotProd + xValue * wValue;`;else for(let j1=0;j1{if(a===0)return"";if(!d)throw Error(`packInputAs4 ${d} is not true.`);let f6="";if(u===1){f6+="dotProd = dotProd";for(let j1=0;j1{sZ(),Y4(),m2(),p7=(q,v,x,P,F,M)=>(q-1)*v+x+(P-1)*F+1-M,s$=(q,v,x,P,F)=>{let M=Math.floor(q/2);v==="SAME_UPPER"?(x[P]=M,x[F]=q-M):v==="SAME_LOWER"&&(x[P]=q-M,x[F]=M)},i$=(q,v,x,P,F,M,K,C,h,m)=>{let u=q.length-2,d=m.length===0;h.length{let x=q.kernelShape.slice();if(q.kernelShape.length===0||q.kernelShape.reduce((d,o)=>d*o,1)===0){x.length=0;for(let d=2;dd+o,0)===0){let d=v[0].dims.length-2;h=Array(d).fill(1)}let m=q.strides.slice();if(m.reduce((d,o)=>d+o,0)===0){let d=v[0].dims.length-2;m=Array(d).fill(1)}i$(C,x,h,q.autoPad,q.group,F,m,P,K,M);let u=Object.assign({},q);return Object.assign(u,{kernelShape:x,pads:F,outputPadding:K,outputShape:M,dilations:h,strides:m}),u},a$=(q)=>{let v=M7(q),x=q.format,P=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][typeof q.autoPad>"u"?0:q.autoPad],F=q.dilations,M=q.group,K=q.kernelShape,C=q.pads,h=q.strides,m=q.wIsConst();return{autoPad:P,format:x,dilations:F,group:M,kernelShape:K,outputPadding:q.outputPadding,outputShape:q.outputShape,pads:C,strides:h,wIsConst:m,...v,cacheKey:`${q.format};${v.activation};`}},r$=(q,v)=>{if(!q||q.length!==2&&q.length!==3)throw Error("Conv requires 2 or 3 inputs");if(q[0].dims.length!==4&&q[0].dims.length!==3)throw Error("currently only support 2-dimensional conv");if(q[0].dims.length!==q[1].dims.length)throw Error("filter does not have same dimension as input");if(q[0].dims[v.format==="NHWC"?q[0].dims.length-1:1]!==q[1].dims[0])throw Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");let x=q[1].dims[1]*v.group;if(q.length===3&&(q[2].dims.length!==1||q[2].dims[0]!==x))throw Error("invalid bias");let P=q[0].dims.length-2;if(v.dilations.reduce((F,M)=>F+M,0)>0&&v.dilations.length!==P)throw Error(`dilations should be ${P}D`);if(v.strides.reduce((F,M)=>F+M,0)>0&&v.strides.length!==P)throw Error(`strides should be ${P}D`);if(v.pads.reduce((F,M)=>F+M,0)>0&&v.pads.length!==2*P)throw Error(`pads should be ${2*P}D`);if(v.outputPadding.length!==P&&v.outputPadding.length!==0)throw Error(`output_padding should be ${P}D`);if(v.kernelShape.reduce((F,M)=>F+M,0)>0&&v.kernelShape.length!==0&&v.kernelShape.length!==q[1].dims.length-2)throw Error("invalid kernel shape");if(v.outputShape.length!==0&&v.outputShape.length!==q[0].dims.length-2)throw Error("invalid output shape")},f4=(q,v,x,P)=>{let F=q.kernelCustomData.wT??q.compute(A9(v[1],[2,3,0,1]),{inputs:[1],outputs:[x.wIsConst?-2:-1]})[0];x.wIsConst&&!q.kernelCustomData.wT&&(q.kernelCustomData.wT=F);let M=[v[0],F];v.length===3&&M.push(v[2]),q.compute(o$(M,x,P),{inputs:M})},A7=(q,v)=>{let x=v.format==="NHWC",P=[q.inputs[0].reshape(x?[q.inputs[0].dims[0],1,q.inputs[0].dims[1],q.inputs[0].dims[2]]:[q.inputs[0].dims[0],q.inputs[0].dims[1],1,q.inputs[0].dims[2]]),q.inputs[1].reshape([q.inputs[1].dims[0],q.inputs[1].dims[1],1,q.inputs[1].dims[2]])];q.inputs.length===3&&P.push(q.inputs[2]);let F=v.kernelShape;(F.length===0||F[0]===0)&&(F=[q.inputs[1].dims[2]]);let M=v.dilations;(M.length===0||M[0]===0)&&(M=[1]);let K=v.strides;(K.length===0||K[0]===0)&&(K=[1]);let C=v.pads;C.length===0&&(C=[0,0]),C=[0,C[0],0,C[1]],K=[1].concat(K),M=[1].concat(M),F=[1].concat(F);let h=v.outputPadding;h=[0].concat(h);let m=N4({...v,pads:C,strides:K,dilations:M,kernelShape:F,outputPadding:h},P);f4(q,P,m,(u)=>x?[u[0],u[2],u[3]]:[u[0],u[1],u[3]])},n$=(q,v)=>{if(r$(q.inputs,v),q.inputs[0].dims.length===3)A7(q,v);else{let x=N4(v,q.inputs);f4(q,q.inputs,x)}}}),uG=q0(()=>{q6(),X6(),S9(),T6(),g7=(q,v,x,P)=>{let F=B0.size(v),M=v.length,K=u0("input",q,M),C=h5("output",q,M),h=x.dataType===6?x.getInt32Array()[0]:Number(x.getBigInt64Array()[0]),m=B0.normalizeAxis(h,M);return{name:"CumSum",shaderCache:{hint:P.cacheKey,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:v,dataType:q}],dispatchGroup:{x:Math.ceil(F/64)},programUniforms:[{type:12,data:F},{type:12,data:m},...C5(v,v)]}),getShaderSource:(u)=>{let d=` i32(${K.indicesGet("inputIndices","uniforms.axis")}) `,o=B5("uniforms.input_shape","uniforms.axis",M),a=P.reverse?d+(P.exclusive?" + 1":""):"0",j0=P.reverse?o:d+(P.exclusive?"":" + 1");return` + ${u.registerUniform("outputSize","u32").registerUniform("axis","u32").declareVariables(K,C)} + ${u.mainStart()} + ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + var inputIndices = ${C.offsetToIndices("global_idx")}; + var sum = ${C.type.value}(0); + let first : i32 = ${a}; + let last : i32 = ${j0}; + for (var i : i32 = first; i < last; i++) { + ${K.indicesSet("inputIndices","uniforms.axis","u32(i)")}; + sum = sum + ${K.getByIndices("inputIndices")}; + } + ${C.setByOffset("global_idx","sum")}; + }`}}},t$=(q,v)=>{let x=q.inputs[0].dims,P=q.inputs[0].dataType,F=q.inputs[1];q.compute(g7(P,x,F,v),{inputs:[0]})},e$=(q)=>{let v=q.exclusive===1,x=q.reverse===1;return P6({exclusive:v,reverse:x})}}),aZ=q0(()=>{q6(),X6(),S9(),T6(),J4=(q)=>{if(!q||q.length!==1)throw Error("DepthToSpace requires 1 input.");if(q[0].dims.length!==4)throw Error("DepthToSpace requires 4D input.")},u7=(q,v,x,P)=>{let F=[];F.push(`fn perm(i: ${P.type.indices}) -> ${x.type.indices} { + var a: 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${U0.offsetToIndices("global_idx")}; + let aIndices = perm(indices); + + ${U0.setByOffset("global_idx",j0.getByIndices("aIndices"))} + }`}},jj=(q,v)=>{J4(q.inputs),q.compute($j(q.inputs[0],v))},Oj=(q)=>P6({blocksize:q.blocksize,mode:q.mode,format:q.format})}),rZ=q0(()=>{q6(),X6(),S9(),T6(),d7="^"+(E4="("+(w4="[a-zA-Z]|\\.\\.\\.")+")+")+"$",Gj="^("+E4+",)*"+E4+"$",l7=class{constructor(q=-1){this.symbolToIndices=new Map,this.inputIndex=q}addSymbol(q,v){let x=this.symbolToIndices.get(q);x===void 0?x=[v]:x.push(v),this.symbolToIndices.set(q,x)}},Zj=class{constructor(q,v){this.equation=v,this.hasEllipsis=!1,this.symbolToInfo=new Map,this.lhs=[],this.outputDims=[];let[x,P]=v.includes("->")?v.split("->",2):[v,""];if(!x.match(RegExp(Gj)))throw Error("Invalid LHS term");if(x.split(",").forEach((F,M)=>{let K=q[M].dims.slice();if(!F.match(RegExp(d7)))throw Error("Invalid LHS term");let C=this.processTerm(F,!0,K,M);this.lhs.push(C)}),P==="")P+=[...this.symbolToInfo.entries()].filter(([F,M])=>M.count===1||F==="...").map(([F])=>F).join("");else if(!P.match(RegExp(E4)))throw Error("Invalid RHS");P.match(RegExp(w4,"g"))?.forEach((F)=>{if(F==="...")this.outputDims=this.outputDims.concat(this.ellipsisDims);else{let M=this.symbolToInfo.get(F);if(M===void 0)throw Error("Invalid RHS symbol");this.outputDims.push(M.dimValue)}}),this.rhs=this.processTerm(P,!1,this.outputDims)}addSymbol(q,v,x){let P=this.symbolToInfo.get(q);if(P!==void 0){if(P.dimValue!==v&&P.count!==1)throw Error("Dimension mismatch");P.count++,P.inputIndices.push(x)}else P={count:1,dimValue:v,inputIndices:[x]};this.symbolToInfo.set(q,P)}processTerm(q,v,x,P=-1){let F=x.length,M=!1,K=[],C=0;if(!q.match(RegExp(d7))&&!v&&q!=="")throw Error("Invalid LHS term");let h=q.match(RegExp(w4,"g")),m=new l7(P);return h?.forEach((u,d)=>{if(u==="..."){if(M)throw Error("Only one ellipsis is allowed per input term");M=!0;let o=F-h.length+1;if(o<0)throw Error("Ellipsis out of bounds");if(K=x.slice(C,C+o),this.hasEllipsis){if(this.ellipsisDims.length!==K.length||this.ellipsisDims.toString()!==K.toString())throw Error("Ellipsis dimensions mismatch")}else{if(!v)throw Error("Ellipsis must be specified in the LHS");this.hasEllipsis=!0,this.ellipsisDims=K}for(let a=0;aq+"_max",s7=(q,v,x,P)=>{let F=q.map((h)=>h.length).map((h,m)=>u0(`input${m}`,v,h)),M=B0.size(P),K=h5("output",v,P.length),C=[...x.symbolToInfo.keys()].filter((h)=>!x.rhs.symbolToIndices.has(h));return{name:"Einsum",shaderCache:{hint:x.equation,inputDependencies:q.map(()=>"rank")},getRunData:()=>{let h=C.filter((u)=>x.symbolToInfo.has(u)).map((u)=>({type:12,data:x.symbolToInfo.get(u)?.dimValue||0}));h.push({type:12,data:M});let m=q.map((u,d)=>[...C5(u)]).reduce((u,d)=>u.concat(d),h);return m.push(...C5(P)),{outputs:[{dims:P,dataType:v}],dispatchGroup:{x:Math.ceil(M/64)},programUniforms:m}},getShaderSource:(h)=>{let m=[],u=[],d=[],o=[],a=[],j0=x.symbolToInfo.size===x.rhs.symbolToIndices.size;x.symbolToInfo.forEach((_0,H0)=>{if(x.rhs.symbolToIndices.has(H0)){let Y0=x.rhs.symbolToIndices.get(H0)?.[0];Y0!==void 0&&x.lhs.forEach((k0,D0)=>{if(_0.inputIndices.includes(D0)){let b0=k0.symbolToIndices.get(H0);if(b0===void 0)throw Error("Invalid symbol error");b0.forEach((m0)=>{m.push(`${F[D0].indicesSet(`input${D0}Indices`,m0,K.indicesGet("outputIndices",Y0))}`)})}})}else x.lhs.forEach((Y0,k0)=>{if(_0.inputIndices.includes(k0)){let D0=Y0.symbolToIndices.get(H0);if(D0===void 0)throw Error("Invalid symbol error");D0.forEach((b0)=>{u.push(`${F[k0].indicesSet(`input${k0}Indices`,b0,`${H0}`)}`)}),a.push(`prod *= ${F[k0].getByIndices(`input${k0}Indices`)};`)}}),d.push(`for(var ${H0}: u32 = 0; ${H0} < uniforms.${o7(H0)}; ${H0}++) {`),o.push("}")});let U0=j0?[...m,`let sum = ${F.map((_0,H0)=>_0.getByIndices(`input${H0}Indices`)).join(" * ")};`]:[...m,"var sum = 0.0;",...d,...u,"var prod = 1.0;",...a,"sum += prod;",...o];return` + ${h.registerUniforms(C.map((_0)=>({name:`${o7(_0)}`,type:"u32"}))).registerUniform("outputSize","u32").declareVariables(...F,K)} + + ${h.mainStart()} + ${h.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + var outputIndices = ${K.offsetToIndices("global_idx")}; + ${F.map((_0,H0)=>`var input${H0}Indices: ${F[H0].type.indices};`).join(` +`)} + ${U0.join(` +`)}; + ${K.setByOffset("global_idx","sum")}; + }`}}},qj=(q,v)=>{let x=new Zj(q.inputs,v.equation),P=x.outputDims,F=q.inputs.map((M,K)=>M.dims);q.compute(s7(F,q.inputs[0].dataType,x,P))},Vj=(q)=>{let v=q.equation.replace(/\s+/g,"");return P6({equation:v})}}),MV=q0(()=>{q6(),X6(),T6(),Nj=(q)=>{if(!q||q.length!==2)throw Error("Expand requires 2 input.");let v=q[0].dims,x=Array.from(q[1].getBigInt64Array(),Number),P=x.length{let x=q.length-v.length,P=[];for(let F=0;Fq.length>v.length?Q4(q,v):Q4(v,q),vj=(q)=>{let 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${a.offsetToIndices(`global_idx * ${C}`)}; + let inputOffset = ${o.broadcastedIndicesToOffset("outputIndices",a)}; + let data = ${a.type.value}(${o.getByOffset(`inputOffset / ${K}`)}); + ${a.setByOffset("global_idx","data")} + }`;return` + ${u.registerUniform("vec_size","u32").declareVariables(o,a)} + ${u.mainStart()} + ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")} + ${d}`},getRunData:()=>({outputs:[{dims:P,dataType:q[0].dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:m})}},i7=(q)=>{Nj(q.inputs),q.compute(vj(q.inputs),{inputs:[0]})}}),nZ=q0(()=>{q6(),X6(),T6(),u6(),Rj=(q)=>{let v=q[0].dataType,x=B0.size(q[0].dims),P=B0.size(q[1].dims),F=P%4==0;return{name:"FastGeluWithBias",shaderCache:{hint:`${F}`,inputDependencies:["type","type"]},getShaderSource:(M)=>{let K=u0("x",v,[1],4),C=u0("bias",v,[1],4),h=h5("y",v,[1],4),m=(d)=>` + let bias${d}_offset: u32 = (global_idx * 4 + ${d}) % uniforms.bias_size; + let bias${d} = ${C.getByOffset(`bias${d}_offset / 4`)}[bias${d}_offset % 4];`,u=F?` + let bias = ${C.getByOffset("global_idx % (uniforms.bias_size / 4)")};`:`${m(0)}${m(1)}${m(2)}${m(3)} + let bias = ${K.type.value}(bias0, bias1, bias2, bias3);`;return`${M.registerUniforms([{name:"output_vec_size",type:"u32"},{name:"bias_size",type:"u32"}]).declareVariables(K,C,h)} + + ${S7(s6(v))} + + ${M.mainStart(Q6)} + ${M.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_vec_size")} + + let x = ${K.getByOffset("global_idx")}; + ${u} + let x_in = x + bias; + ${h.setByOffset("global_idx",P7("x_in"))} + }`},getRunData:(M)=>({outputs:[{dims:M[0].dims,dataType:M[0].dataType}],programUniforms:[{type:12,data:Math.ceil(x/4)},{type:12,data:P}],dispatchGroup:{x:Math.ceil(x/Q6/4)}})}},Uj=(q)=>{q.inputs.length<2||B0.size(q.inputs[1].dims)===0?X7(q):q.compute(Rj(q.inputs))}}),tZ=q0(()=>{q6(),X6(),S9(),T6(),a7=(q)=>{if(!q||q.length!==2)throw Error("Gather requires 2 inputs.")},Hj=(q,v)=>{let 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: ${a.type.indices}; + `;for(let D0=0,b0=0;D01?`dataIndices${H0}[${D0}]`:`dataIndices${H0}`} = u32(idx${H0});`,b0+=Y0):(k0+=`${F>1?`dataIndices${H0}[${D0}]`:`dataIndices${H0}`} = ${K.length>1?`outputIndices${H0}[${b0}]`:`outputIndices${H0}`};`,b0++);return k0};if(q[0].dataType===9){let H0=(Y0,k0,D0="")=>` + let outputIndices${k0} = ${U0.offsetToIndices(`outputOffset + ${k0}u`)}; + ${_0(k0)}; + let offset${k0} = ${a.indicesToOffset(`dataIndices${k0}`)}; + let index${k0} = offset${k0} / 4u; + let component${k0} = offset${k0} % 4u; + ${Y0}[${k0}] = ${D0}(${a.getByOffset(`index${k0}`)}[component${k0}]); + `;o=` + let outputOffset = global_idx * ${h}; + var value = vec4(0); + ${H0("value",0,"u32")} + ${H0("value",1,"u32")} + ${H0("value",2,"u32")} + ${H0("value",3,"u32")} + ${U0.setByOffset("global_idx","value")} + `}else o=` + let outputIndices = ${U0.offsetToIndices("global_idx")}; + ${_0("")}; + let value = ${a.getByIndices("dataIndices")}; + ${U0.setByOffset("global_idx","value")}; + `;return` + ${d.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(a,j0,U0)} + ${d.mainStart()} + ${d.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + ${o} + }`}}},xj=(q)=>P6({axis:q.axis}),C4=(q,v)=>{let x=q.inputs;a7(x),q.compute(Hj(q.inputs,v))}}),eZ=q0(()=>{q6(),X6(),T6(),Lj=(q,v,x,P,F,M,K,C,h)=>{let m=[{type:12,data:M},{type:12,data:P},{type:12,data:F},{type:12,data:x},{type:12,data:K},{type:12,data:C},{type:12,data:h}],u=[M];return m.push(...C5(v.dims,u)),q.compute({name:"computeSliceOffsets",shaderCache:{hint:`${F.length}_${x.length}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:u,dataType:q.inputs[1].dataType}],dispatchGroup:{x:Math.ceil(M/64)},programUniforms:m}),getShaderSource:(d)=>{let o=[u0("indices_data",v.dataType,v.dims.length),h5("input_slice_offsets_data",12,1,1)],a=[{name:"output_size",type:"u32"},{name:"batch_dims",type:"u32"},{name:"input_dims",type:"u32",length:F.length},{name:"sizes_from_slice_dims_data",type:"u32",length:x.length},{name:"num_slices_per_batch",type:"u32"},{name:"input_batch_stride",type:"u32"},{name:"num_slice_dims",type:"u32"}];return` + ${d.registerUniforms(a).declareVariables(...o)} + ${d.mainStart()} + ${d.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let batch_idx = global_idx / uniforms.num_slices_per_batch; + let base_offset = batch_idx * uniforms.input_batch_stride; + + let slice_indices_base_offset = global_idx * uniforms.num_slice_dims; + var relative_slice_offset = 0; + for (var dim_idx = 0u; dim_idx < uniforms.num_slice_dims; dim_idx ++) { + var index = i32(indices_data[dim_idx + slice_indices_base_offset].x); + let input_dim_idx = uniforms.batch_dims + dim_idx; + if (index < 0) { + ${F.length===1?"index += i32(uniforms.input_dims);":"index += i32(uniforms.input_dims[input_dim_idx]);"} + } + ${x.length===1?"relative_slice_offset += index * i32(uniforms.sizes_from_slice_dims_data);":"relative_slice_offset += index * i32(uniforms.sizes_from_slice_dims_data[dim_idx]);"} + } + + input_slice_offsets_data[global_idx] = base_offset + u32(relative_slice_offset); + }`}},{inputs:[v],outputs:[-1]})[0]},_j=(q,v)=>{let x=q.inputs,P=x[0].dims,F=x[0].dataType,M=x[1].dims,K=M[M.length-1],C=B0.sizeToDimension(M,M.length-1),h=B0.sizeFromDimension(P,v.batchDims+K),m=B0.sizeToDimension(P,v.batchDims),u=B0.sizeFromDimension(P,v.batchDims),d=C/m,o=Array(K),a=h;for(let k0=0;k0P.length)throw Error("last dimension of indices must not be larger than rank of input tensor");let 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Error("GatherBlockQuantized requires 3 or 4 inputs.");let x=B0.normalizeAxis(v.quantizeAxis,q[0].dims.length),P=v.blockSize,F=q[0],M=q[2],K=q.length===4?q[3]:void 0;if(M.dims.length!==F.dims.length||!F.dims.map((C,h)=>h===x?Math.ceil(C/P)===M.dims[h]:C===M.dims[h]).reduce((C,h)=>C&&h,!0))throw Error("Scales must have the same rank as the input tensor and the dims should match except on gatherAxis.");if(K){if(K.dataType!==F.dataType)throw Error("Zero point must have the same data type as the input tensor.");if(K.dims.length!==M.dims.length||!K.dims.map((C,h)=>C===M.dims[h]).reduce((C,h)=>C&&h,!0))throw Error("Zero point must have the same rank as the input tensor and the dims should match except on quantizeAxis.")}},Sj=(q,v)=>{let x=q[0].dims,P=q[1].dims,F=x.length,M=B0.normalizeAxis(v.gatherAxis,F),K=B0.normalizeAxis(v.quantizeAxis,F),C=x.slice(0);C.splice(M,1,...P);let h=B0.size(C),m=q[2].dataType,u=q[0].dataType===22,d=[{type:12,data:h},{type:12,data:K},{type:12,data:M},{type:12,data:v.blockSize},...C5(...q.map((o,a)=>o.dims),C)];return{name:"GatherBlockQuantized",shaderCache:{hint:`${v.cacheKey};${q.filter((o,a)=>a!==1).map((o)=>o.dims.join("_")).join(";")}`,inputDependencies:Array.from({length:q.length},(o,a)=>"rank")},getRunData:()=>({outputs:[{dims:C,dataType:m}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:d}),getShaderSource:(o)=>{let a=u0("data",q[0].dataType,q[0].dims.length),j0=u0("inputIndices",q[1].dataType,q[1].dims.length),U0=u0("scales",q[2].dataType,q[2].dims.length),_0=q.length>3?u0("zeroPoint",q[3].dataType,q[3].dims.length):void 0,H0=h5("output",m,C.length),Y0=[a,j0,U0];return _0&&Y0.push(_0),` + ${o.registerUniforms([{name:"output_size",type:"u32"},{name:"quantize_axis",type:"u32"},{name:"gather_axis",type:"u32"},{name:"block_size",type:"u32"}]).declareVariables(...Y0,H0)} + ${o.mainStart()} + let output_indices = ${H0.offsetToIndices("global_idx")}; + var indices_indices = ${j0.type.indices}(0); + ${P.length>1?` + for (var i: u32 = 0; i < ${P.length}; i++) { + let index = ${H0.indicesGet("output_indices","uniforms.gather_axis + i")}; + ${j0.indicesSet("indices_indices","i","index")}; + }`:`indices_indices = ${H0.indicesGet("output_indices","uniforms.gather_axis")};`}; + var data_indices = ${a.type.indices}(0); + for (var i: u32 = 0; i < uniforms.gather_axis; i++) { + let index = ${H0.indicesGet("output_indices","i")}; + ${a.indicesSet("data_indices","i","index")}; + } + var index_from_indices = ${j0.getByIndices("indices_indices")}; + if (index_from_indices < 0) { + index_from_indices += ${x[M]}; + } + ${a.indicesSet("data_indices","uniforms.gather_axis","u32(index_from_indices)")}; + for (var i = uniforms.gather_axis + 1; i < ${C.length}; i++) { + let index = ${H0.indicesGet("output_indices",`i + ${P.length} - 1`)}; + ${a.indicesSet("data_indices","i","index")}; + } + let data_offset = ${a.indicesToOffset("data_indices")}; + let data_index = data_offset % 8; + // Convert 4-bit packed data to 8-bit packed data. + let packed_4bit_quantized_data = ${a.getByOffset("data_offset / 8")}; + let packed_8bit_quantized_data = (packed_4bit_quantized_data >> (4 * (data_index % 2))) & 0x0f0f0f0f; + let quantized_data_vec = ${u?"unpack4xI8":"unpack4xU8"}(u32(packed_8bit_quantized_data)); + let quantized_data = quantized_data_vec[data_index / 2]; + var scale_indices = data_indices; + let quantize_axis_index = ${U0.indicesGet("data_indices","uniforms.quantize_axis")} / uniforms.block_size; + ${U0.indicesSet("scale_indices","uniforms.quantize_axis","quantize_axis_index")}; + var scale = ${U0.getByIndices("scale_indices")}; + ${_0?` + let zero_point_indices = scale_indices; + let zero_point_offset = ${_0.indicesToOffset("zero_point_indices")}; + let zero_point_index = zero_point_offset % 8; + let packed_4bit_zero_points = ${_0.getByOffset("zero_point_offset / 8")}; + let packed_8bit_zero_points = (packed_4bit_zero_points >> (4 * (zero_point_index % 2))) & 0x0f0f0f0f; + let zero_point_vec = ${u?"unpack4xI8":"unpack4xU8"}(u32(packed_8bit_zero_points)); + let zero_point = zero_point_vec[zero_point_index / 2];`:"var zero_point = 0"}; + let dequantized_data = ${s6(m)}(quantized_data - zero_point) * scale; + ${H0.setByOffset("global_idx","dequantized_data")}; + }`}}},Pj=(q,v)=>{let x=q.inputs;r7(x,v),q.compute(Sj(q.inputs,v))},n7=(q)=>P6({blockSize:q.blockSize,gatherAxis:q.gatherAxis,quantizeAxis:q.quantizeAxis})}),$q=q0(()=>{q6(),X6(),S9(),T6(),Xj=(q)=>{if(!q||q.length!==2)throw Error("GatherElements requires 2 inputs.");if(q[0].dims.length<1)throw Error("GatherElements requires that the data input be rank >= 1.");if(q[0].dims.length!==q[1].dims.length)throw Error(`GatherElements requires that the data input and + indices input tensors be of same rank.`)},Tj=(q,v)=>{let x=q[0].dims,P=q[0].dataType,F=x.length,M=q[1].dims,K=q[1].dataType,C=B0.normalizeAxis(v.axis,F),h=x[C],m=M.slice(0),u=B0.size(m),d=u0("input",P,F),o=u0("indicesInput",K,M.length),a=h5("output",P,m.length),j0=[{type:12,data:u},{type:6,data:h},{type:12,data:C}];return j0.push(...C5(x,M,m)),{name:"GatherElements",shaderCache:{inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:m,dataType:q[0].dataType}],dispatchGroup:{x:Math.ceil(u/64)},programUniforms:j0}),getShaderSource:(U0)=>` + ${U0.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(d,o,a)} + ${U0.mainStart()} + ${U0.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + + let outputIndices = ${a.offsetToIndices("global_idx")}; + + var idx = ${o.getByOffset("global_idx")}; + if (idx < 0) { + idx = idx + uniforms.axisDimLimit; + } + var inputIndices = ${d.type.indices}(outputIndices); + ${d.indicesSet("inputIndices","uniforms.axis","u32(idx)")}; + let value = ${d.getByIndices("inputIndices")}; + + ${a.setByOffset("global_idx","value")}; + }`}},Fj=(q)=>P6({axis:q.axis}),yj=(q,v)=>{let x=q.inputs;Xj(x),q.compute(Tj(q.inputs,v))}}),jq=q0(()=>{q6(),X6(),T6(),B4=(q)=>{if(!q)throw Error("Input is missing");if(q.length<2||q.length>3)throw Error("Invaid input number.");if(q.length===3&&q[2].dims.length>2)throw Error("Invalid input shape of C");if(q[0].dataType!==q[1].dataType||q.length===3&&q[0].dataType!==q[2].dataType)throw Error("Input types are mismatched")},zj=(q,v)=>{let x=q[0].dims.slice(),P=q[1].dims.slice(),[F,M,K]=g1.getShapeOfGemmResult(x,v.transA,P,v.transB,q.length===3?q[2].dims:void 0),C=[F,M];if(!C)throw Error("Can't use gemm on the given tensors");let h=16,m=Math.ceil(M/h),u=Math.ceil(F/h),d=(B0.size(C),[{type:12,data:m},{type:12,data:F},{type:12,data:M},{type:12,data:K},{type:1,data:v.alpha},{type:1,data:v.beta}]),o=["type","type"];return q.length===3&&(d.push(...C5(q[2].dims)),o.push("rank")),d.push(...C5(C)),{name:"GemmShared",shaderCache:{hint:`${v.cacheKey}`,inputDependencies:o},getRunData:()=>({outputs:[{dims:C,dataType:q[0].dataType}],dispatchGroup:{x:m*u},programUniforms:d}),getShaderSource:(a)=>{let j0=u0("a",q[0].dataType,q[0].dims),U0=u0("b",q[1].dataType,q[1].dims),_0=null,H0=[j0,U0];q.length===3&&(_0=u0("c",q[2].dataType,q[2].dims.length),H0.push(_0));let Y0=h5("output",q[0].dataType,C.length);H0.push(Y0);let k0="",D0="";v.transA&&v.transB?(D0=` + var col = tile_row_start + local_id.x; + var row = k_start + local_id.y; + if (col < uniforms.M && row < uniforms.K) { + tile_a[local_id.y][local_id.x] = a[row * uniforms.M + col]; + } else { + tile_a[local_id.y][local_id.x] = ${j0.type.value}(0); + } + + col = k_start + local_id.x; + row = tile_col_start + local_id.y; + if (col < uniforms.K && row < uniforms.N) { + tile_b[local_id.y][local_id.x] = b[row * uniforms.K + col]; + } else { + tile_b[local_id.y][local_id.x] = ${U0.type.value}(0); + } + `,k0="value += tile_a[k][local_id.y] * tile_b[local_id.x][k];"):v.transA&&!v.transB?(D0=` + var col = tile_row_start + local_id.x; + var row = k_start + local_id.y; + if (col < uniforms.M && row < uniforms.K) { + tile_a[local_id.y][local_id.x] = a[row * uniforms.M + col]; + } else { + tile_a[local_id.y][local_id.x] = ${j0.type.value}(0); + } + + col = tile_col_start + local_id.x; + row = k_start + local_id.y; + if (col < uniforms.N && row < uniforms.K) { + tile_b[local_id.y][local_id.x] = b[row * uniforms.N + col]; + } else { + tile_b[local_id.y][local_id.x] = ${U0.type.value}(0); + } + `,k0="value += tile_a[k][local_id.y] * tile_b[k][local_id.x];"):!v.transA&&v.transB?(D0=` + var col = k_start + local_id.x; + var row = tile_row_start + local_id.y; + if (col < uniforms.K && row < uniforms.M) { + tile_a[local_id.y][local_id.x] = a[row * uniforms.K + col]; + } else { + tile_a[local_id.y][local_id.x] = ${j0.type.value}(0); + } + + col = k_start + local_id.x; + row = tile_col_start + local_id.y; + if (col < uniforms.K && row < uniforms.N) { + tile_b[local_id.y][local_id.x] = b[row * uniforms.K + col]; + } else { + tile_b[local_id.y][local_id.x] = ${U0.type.value}(0); + } + `,k0="value += tile_a[local_id.y][k] * tile_b[local_id.x][k];"):!v.transA&&!v.transB&&(D0=` + var col = k_start + local_id.x; + var row = tile_row_start + local_id.y; + if (col < uniforms.K && row < uniforms.M) { + tile_a[local_id.y][local_id.x] = a[row * uniforms.K + col]; + } else { + tile_a[local_id.y][local_id.x] = ${j0.type.value}(0); + } + + col = tile_col_start + local_id.x; + row = k_start + local_id.y; + if (col < uniforms.N && row < uniforms.K) { + tile_b[local_id.y][local_id.x] = b[row * uniforms.N + col]; + } else { + tile_b[local_id.y][local_id.x] = ${U0.type.value}(0); + } + `,k0="value += tile_a[local_id.y][k] * tile_b[k][local_id.x];");let b0=v.alpha===1?"":"value *= uniforms.alpha;";return` + ${a.registerUniforms([{name:"num_tile_n",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"},{name:"alpha",type:"f32"},{name:"beta",type:"f32"}]).declareVariables(...H0)} + var tile_a: array, 16>; + var tile_b: array, 16>; + ${a.mainStart([h,h,1])} + let tile_col_start = (workgroup_index % uniforms.num_tile_n) * 16; + let tile_row_start = (workgroup_index / uniforms.num_tile_n) * 16; + let num_tiles = (uniforms.K - 1) / 16 + 1; + var k_start = 0u; + var value = ${Y0.type.value}(0); + for (var t: u32 = 0u; t < num_tiles; t++) { + ${D0} + k_start = k_start + 16; + workgroupBarrier(); + + for (var k: u32 = 0u; k < 16; k++) { + ${k0} + } + workgroupBarrier(); + } + + ${b0} + let m = tile_row_start + local_id.y; + let n = tile_col_start + local_id.x; + ${_0!=null?`let cOffset = ${_0.broadcastedIndicesToOffset("vec2(m, n)",Y0)}; value += ${Y0.type.value}(uniforms.beta) * ${_0.getByOffset("cOffset")};`:""} + if (m < uniforms.M && n < uniforms.N) { + output[m * uniforms.N + n] = value; + } + }`}}},kj=(q)=>({transA:q.transA,transB:q.transB,alpha:q.alpha,beta:q.beta,cacheKey:`${q.transA};${q.transB};${q.alpha===1}`}),Ij=(q,v)=>{B4(q.inputs),q.compute(zj(q.inputs,v))}}),Oq=q0(()=>{q6(),X6(),S9(),T6(),[G2,x2,N3,J3]=[0,1,2,3],Dj=(q)=>{if(q[0].dims.length!==4)throw Error("only 4-D tensor is supported.");if(q[0].dims.length!==q[1].dims.length)throw Error("input dimensions must be equal to grid dimensions");if(q[0].dims.length-2!==q[1].dims[q[1].dims.length-1])throw Error("last dimension of grid must be equal to "+(q[0].dims.length-2));if(q[0].dims[0]!==q[1].dims[0])throw Error("grid batch size must match input batch size")},Wj=(q)=>` + fn gs_bicubic_interpolate(p: mat4x4<${q}>, x: f32, y: f32) -> ${q} { + var v: vec4; + var coeffs = gs_get_cubic_coeffs(x); + for (var i = 0; i < 4; i++) { + v[i] = coeffs[0] * p[i][0] + coeffs[1] * p[i][1] + coeffs[2] * p[i][2] + coeffs[3] * p[i][3]; + } + coeffs = gs_get_cubic_coeffs(y); + let pixel = ${q}(coeffs[0] * v[0] + coeffs[1] * v[1] + coeffs[2] * v[2] + coeffs[3] * v[3]); + return pixel; + } +`,t7=(q)=>` + fn gs_denormalize(n: f32, length: i32) -> f32 { + ${q.alignCorners===0?` + // alignCorners: false => [-1, 1] to [-0.5, length - 0.5] + return ((n + 1.0) * f32(length) - 1.0) / 2.0; + `:` + // alignCorners: true => [-1, 1] to [0, length - 1] + return (n + 1.0) / 2.0 * (f32(length - 1)); + `} + } +`,Mj=(q)=>` + ${q.paddingMode==="reflection"?` + fn gs_reflect(x: i32, x_min: f32, x_max: f32) -> u32 { + var dx = 0.0; + var fx = f32(x); + let range = x_max - x_min; + if (fx < x_min) { + dx = x_min - fx; + let n = u32(dx / range); + let r = dx - f32(n) * range; + if (n % 2 == 0) { + fx = x_min + r; + } else { + fx = x_max - r; + } + } else if (fx > x_max) { + dx = fx - x_max; + let n = u32(dx / range); + let r = dx - f32(n) * range; + if (n % 2 == 0) { + fx = x_max - r; + } else { + fx = x_min + r; + } + } + return u32(fx); + }`:""} +`,Kj=(q,v,x)=>` + fn pixel_at_grid(r: i32, c: i32, H: i32, W: i32, batch: u32, channel: u32, border: vec4) -> ${v} { + var pixel = ${v}(0); + var indices = vec4(0); + indices[${G2}] = batch; + indices[${x2}] = channel;`+(()=>{switch(x.paddingMode){case"zeros":return` + if (r >= 0 && r < H && c >=0 && c < W) { + indices[${N3}] = u32(r); + indices[${J3}] = u32(c); + } else { + return ${v}(0); + } + `;case"border":return` + indices[${N3}] = u32(clamp(r, 0, H - 1)); + indices[${J3}] = u32(clamp(c, 0, W - 1)); + `;case"reflection":return` + indices[${N3}] = gs_reflect(r, border[1], border[3]); + indices[${J3}] = gs_reflect(c, border[0], border[2]); + `;default:throw Error(`padding mode ${x.paddingMode} is not supported`)}})()+` + return ${q.getByIndices("indices")}; + } +`,e7=(q,v,x)=>(()=>{switch(x.mode){case"nearest":return` + let result = pixel_at_grid(i32(round(y)), i32(round(x)), H_in, W_in, indices[${G2}], indices[${x2}], border); + `;case"bilinear":return` + let x1 = i32(floor(x)); + let y1 = i32(floor(y)); + let x2 = x1 + 1; + let y2 = y1 + 1; + + let p11 = pixel_at_grid(y1, x1, H_in, W_in, indices[${G2}], indices[${x2}], border); + let p12 = pixel_at_grid(y1, x2, H_in, W_in, indices[${G2}], indices[${x2}], border); + let p21 = pixel_at_grid(y2, x1, H_in, W_in, indices[${G2}], indices[${x2}], border); + let p22 = pixel_at_grid(y2, x2, H_in, W_in, indices[${G2}], indices[${x2}], border); + + let dx2 = ${v}(f32(x2) - x); + let dx1 = ${v}(x - f32(x1)); + let dy2 = ${v}(f32(y2) - y); + let dy1 = ${v}(y - f32(y1)); + let result = dy2 * (dx2 * p11 + dx1 * p12) + dy1 * (dx2 * p21 + dx1 * p22); + `;case"bicubic":return` + let x0 = i32(floor(x)) - 1; + let y0 = i32(floor(y)) - 1; + var p: mat4x4<${v}>; + for (var h = 0; h < 4; h++) { + for (var w = 0; w < 4; w++) { + p[h][w] = pixel_at_grid(h + y0, w + x0, H_in, W_in, indices[${G2}], indices[${x2}], border); + } + } + + let dx = x - f32(x0 + 1); + let dy = y - f32(y0 + 1); + let result = gs_bicubic_interpolate(p, dx, dy); + `;default:throw Error(`mode ${x.mode} is not supported`)}})()+`${q.setByOffset("global_idx","result")}`,bj=(q,v)=>{let x=u0("x",q[0].dataType,q[0].dims.length),P=[q[1].dims[0],q[1].dims[1],q[1].dims[2]],F=u0("grid",q[1].dataType,P.length,2),M=[q[0].dims[0],q[0].dims[1],q[1].dims[1],q[1].dims[2]];v.format==="NHWC"&&(M=[q[0].dims[0],q[1].dims[1],q[1].dims[2],q[0].dims[3]],[G2,x2,N3,J3]=[0,3,1,2]);let K=h5("output",q[0].dataType,M.length),C=x.type.value,h=[{type:12,data:B0.size(M)},...C5(q[0].dims,P,M)];return{name:"GridSample",shaderCache:{hint:`${v.cacheKey}`,inputDependencies:["type","type"]},getRunData:(m)=>{let u=B0.size(M);return{outputs:[{dims:M,dataType:m[0].dataType}],dispatchGroup:{x:Math.ceil(u/64)},programUniforms:h}},getShaderSource:(m)=>` + ${m.registerUniform("output_size","u32").declareVariables(x,F,K)} + + fn gs_get_cubic_coeffs(x: f32) -> vec4 { + let cubic_alpha = -0.75f; + let x_abs = abs(x); + var coeffs: vec4; + coeffs[0] = (((cubic_alpha * (x_abs + 1) - 5 * cubic_alpha) * (x_abs + 1) + 8 * cubic_alpha) * (x_abs + 1) - 4 * cubic_alpha); + coeffs[1] = (((cubic_alpha + 2) * x_abs - (cubic_alpha + 3)) * x_abs * x_abs + 1); + coeffs[2] = (((cubic_alpha + 2) * (1 - x_abs) - (cubic_alpha + 3)) * (1 - x_abs) * (1 - x_abs) + 1); + coeffs[3] = (((cubic_alpha * (2 - x_abs) - 5 * cubic_alpha) * (2 - x_abs) + 8 * cubic_alpha) * (2 - x_abs) - 4 * cubic_alpha); + return coeffs; + } + + ${Wj(C)} + ${t7(v)} + ${Mj(v)} + ${Kj(x,C,v)} + + ${m.mainStart()} + ${m.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let H_in = i32(uniforms.x_shape[${N3}]); + let W_in = i32(uniforms.x_shape[${J3}]); + + ${v.alignCorners===0?` + let x_min = -0.5; + let x_max = f32(W_in) - 0.5; + let y_min = -0.5; + let y_max = f32(H_in) - 0.5; + `:` + let x_min = 0.0; + let x_max = f32(W_in) - 1.0; + let y_min = 0.0; + let y_max = f32(H_in) - 1.0; + `}; + let border = vec4(x_min, y_min, x_max, y_max); + + let indices = ${K.offsetToIndices("global_idx")}; + var grid_indices = vec3(indices[${G2}], indices[${N3}], indices[${J3}]); + let nxy = ${F.getByIndices("grid_indices")}; + var x = gs_denormalize(f32(nxy[0]), W_in); + var y = gs_denormalize(f32(nxy[1]), H_in); + + ${e7(K,C,v)} + }`}},fj=(q,v)=>{Dj(q.inputs),q.compute(bj(q.inputs,v))},wj=(q)=>P6({alignCorners:q.align_corners,mode:q.mode,paddingMode:q.padding_mode,format:q.format})}),dG=q0(()=>{q6(),X6(),S9(),D8(),b8(),T6(),m2(),$1=(q,v)=>q.length>v&&q[v].dims.length>0?q[v]:void 0,$8=(q,v)=>{let x=q[0],P=$1(q,1),F=$1(q,2),M=$1(q,3),K=$1(q,4),C=$1(q,5),h=$1(q,6),m=$1(q,7);if(x.dims.length!==3&&x.dims.length!==5)throw Error("Input query is expected to have 3 or 5 dimensions");let u,d=x.dims[0],o=x.dims[1],a=x.dims.length===3?x.dims[2]:v.numHeads*x.dims[4],j0=o,U0=0,_0=0,H0=Math.floor(a/v.numHeads);if(h&&m&&B0.size(h.dims)&&B0.size(m.dims)){if(h.dims.length!==4)throw Error('Input "past_key" is expected to have 4 dimensions');if(h.dims[0]!==d||h.dims[1]!==v.numHeads||h.dims[3]!==H0)throw Error('Input "past_key" shape (batch_size, num_heads, past_sequence_length, head_size)');if(m.dims[0]!==d||m.dims[1]!==v.numHeads||m.dims[3]!==H0)throw Error('Input "past_value" shape (batch_size, num_heads, past_sequence_length, head_size)');if(h.dims[2]!==m.dims[2])throw Error('Input "past_key" and "past_value" shall have same dim 2 (past_sequence_length)');if(m.dims.length!==4)throw Error('Input "past_value" is expected to have 4 dimensions');U0=h.dims[2],_0=h.dims[2]}else if(h&&B0.size(h.dims)||m&&B0.size(m.dims))throw Error('Input "past_key" and "past_value" shall be both present or both absent');if(P&&B0.size(P.dims)>0){if(x.dims.length!==3)throw Error('Input "query" is expected to have 3 dimensions when key is given');if(P.dims.length<3||P.dims.length>5)throw Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(x.dims[0]!==P.dims[0])throw Error('Input "query" and "key" shall have same dim 0 (batch size)');if(P.dims.length===3){if(P.dims[2]!==x.dims[2])throw Error('Input "query" and "key" shall have same dim 2 (hidden_size)');u=2,j0=P.dims[1]}else if(P.dims.length===5){if(P.dims[2]!==v.numHeads||P.dims[3]!==2||P.dims[4]!==H0)throw Error('Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(F)throw Error('Expect "value" be none when "key" has packed kv format.');u=5,j0=P.dims[1]}else{if(P.dims[1]!==v.numHeads||P.dims[3]!==H0)throw Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');u=0,j0=P.dims[2]}}else{if(x.dims.length!==5)throw Error('Input "query" is expected to have 5 dimensions when key is empty');if(x.dims[2]!==v.numHeads||x.dims[3]!==3)throw Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');u=3}if(M&&B0.size(M.dims)>0){if(M.dims.length!==1)throw Error('Input "bias" is expected to have 1 dimension');if(P&&P.dims.length===5&&P.dims[3]===2)throw Error("bias is not allowed for packed kv.")}let Y0=U0+j0,k0=0;if(K&&B0.size(K.dims)>0){k0=8;let m0=K.dims;throw m0.length===1?m0[0]===d?k0=1:m0[0]===3*d+2&&(k0=3):m0.length===2&&m0[0]===d&&m0[1]===Y0&&(k0=5),k0===8?Error('Input "key_padding_mask" shape shall be (batch_size) or (batch_size, total_sequence_length)'):Error("Mask not supported")}let D0=!1,b0=a;if(F&&B0.size(F.dims)>0){if(F.dims.length!==3&&F.dims.length!==4)throw Error('Input "value" is expected to have 3 or 4 dimensions');if(x.dims[0]!==F.dims[0])throw Error('Input "query" and "value" shall have same dim 0 (batch_size)');if(F.dims.length===3){if(j0!==F.dims[1])throw Error('Input "key" and "value" shall have the same dim 1 (kv_sequence_length)');b0=F.dims[2]}else{if(j0!==F.dims[2])throw Error('Input "key" and "value" shall have the same dim 2 (kv_sequence_length)');b0=F.dims[1]*F.dims[3],D0=!0}}if(K&&B0.size(K.dims)>0)throw Error("Key padding mask is not supported");if(C&&B0.size(C.dims)>0){if(C.dims.length!==4)throw Error('Input "attention_bias" is expected to have 4 dimensions');if(C.dims[0]!==d||C.dims[1]!==v.numHeads||C.dims[2]!==o||C.dims[3]!==Y0)throw Error('Expect "attention_bias" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:d,sequenceLength:o,pastSequenceLength:U0,kvSequenceLength:j0,totalSequenceLength:Y0,maxSequenceLength:_0,inputHiddenSize:0,hiddenSize:a,vHiddenSize:b0,headSize:H0,vHeadSize:Math.floor(b0/v.numHeads),numHeads:v.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:v.maskFilterValue,maskType:k0,scale:v.scale,broadcastResPosBias:!1,passPastInKv:D0,qkvFormat:u}},Ej=(q)=>P6({...q}),j8=P6({perm:[0,2,1,3]}),O8=(q,v,x,P,F,M,K)=>{let C=[P,F,M],h=B0.size(C),m=[{type:12,data:h},{type:12,data:K},{type:12,data:M}];return q.compute({name:"MultiHeadAttentionAddBias",shaderCache:{inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:C,dataType:v.dataType,gpuDataType:0}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:m}),getShaderSource:(u)=>{let d=h5("qkv_with_bias",v.dataType,C),o=u0("qkv",v.dataType,C),a=u0("bias",x.dataType,C);return` + ${u.registerUniforms([{name:"output_size",type:"u32"},{name:"bias_offset",type:"u32"},{name:"hidden_size",type:"u32"}]).declareVariables(o,a,d)} + ${u.mainStart()} + ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let bias_offset_idx = (global_idx % uniforms.hidden_size) + uniforms.bias_offset; + + qkv_with_bias[global_idx] = qkv[global_idx] + bias[bias_offset_idx]; + }`}},{inputs:[v,x],outputs:[-1]})[0]},v4=(q,v,x,P,F,M,K,C)=>{let h=M;if(K&&B0.size(K.dims)>0){if(P===1)throw Error("AddBiasReshape is not implemented. Please export your model with packed QKV or KV");return h=O8(q,M,K,v,P,x*F,C),h=h.reshape([v,P,x,F]),x===1||P===1?h:q.compute(A9(h,j8.perm),{inputs:[h],outputs:[-1]})[0]}return M.dims.length===3&&(h=M.reshape([v,P,x,F])),x===1||P===1?h:q.compute(A9(h,j8.perm),{inputs:[h],outputs:[-1]})[0]},Qj=(q,v)=>{let x=$8(q.inputs,v),P=q.inputs[0],F=$1(q.inputs,1),M=$1(q.inputs,2),K=$1(q.inputs,3),C=$1(q.inputs,4),h=$1(q.inputs,5),m=$1(q.inputs,6),u=$1(q.inputs,7);if(P.dims.length===5)throw Error("Packed QKV is not implemented");if(F?.dims.length===5)throw Error("Packed KV is not implemented");let d=F&&M&&F.dims.length===4&&M.dims.length===4,o=v4(q,x.batchSize,x.numHeads,x.sequenceLength,x.headSize,P,K,0);if(d)return v1(q,o,F,M,C,void 0,m,u,h,x);if(!F||!M)throw Error("key and value must be provided");let a=v4(q,x.batchSize,x.numHeads,x.kvSequenceLength,x.headSize,F,K,x.hiddenSize),j0=v4(q,x.batchSize,x.numHeads,x.kvSequenceLength,x.vHeadSize,M,K,2*x.hiddenSize);v1(q,o,a,j0,C,void 0,m,u,h,x)}}),lG=q0(()=>{q6(),X6(),S9(),T6(),G8=(q)=>{if(!q||q.length<1)throw Error("too few inputs")},Cj=(q,v)=>{let x=[],P=v.numOutputs;return q[1].dims[0]>0&&(q[1].getBigInt64Array().forEach((F)=>x.push(Number(F))),P=x.length),P6({numOutputs:P,axis:v.axis,splitSizes:x})},Bj=(q)=>` +fn calculateOutputIndex(index: u32) -> u32 { + for (var i: u32 = 0u; i < ${q}u; i += 1u ) { + if (index < ${B5("uniforms.size_in_split_axis","i",q)}) { + return i; + } + } + return ${q}u; +}`,Z8=(q)=>{let v=q.length,x=[];for(let P=0;P{let x=q[0].dims,P=B0.size(x),F=q[0].dataType,M=B0.normalizeAxis(v.axis,x.length),K=Array(v.numOutputs),C=u0("input",F,x.length),h=Array(v.numOutputs),m=[],u=[],d=0,o=[{type:12,data:P}];for(let a=0;a` + ${a.registerUniform("input_size","u32").registerUniform("size_in_split_axis","u32",h.length).declareVariables(C,...K)} + ${Bj(h.length)} + ${Z8(K)} + + ${a.mainStart()} + ${a.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.input_size")} + + var indices = ${C.offsetToIndices("global_idx")}; + var index = ${C.indicesGet("indices",M)}; + let output_number = calculateOutputIndex(index); + if (output_number != 0) { + index -= ${B5("uniforms.size_in_split_axis","output_number - 1u",h.length)}; + ${C.indicesSet("indices",M,"index")}; + } + writeBufferData(output_number, indices, global_idx); + }`,getRunData:()=>({outputs:m,dispatchGroup:{x:Math.ceil(P/64)},programUniforms:o})}},hj=(q,v)=>{G8(q.inputs);let x=q.inputs.length===1?v:Cj(q.inputs,v);q.compute(q8(q.inputs,x),{inputs:[0]})},cj=(q)=>{let{axis:v,splitSizes:x}=q,P=q.numOutputs<0?x.length:q.numOutputs;if(P!==x.length)throw Error("numOutputs and splitSizes lengh must be equal");return P6({axis:v,numOutputs:P,splitSizes:x})}}),oG=q0(()=>{q6(),X6(),S9(),T6(),mj=(q,v)=>{let[x,P,F,M]=q,{numHeads:K,rotaryEmbeddingDim:C}=v;if(x.dims.length!==3&&x.dims.length!==4)throw Error(`Input 'x' is expected to have 3 or 4 dimensions, got ${x.dims.length}`);if(!B0.areEqual(P.dims,[])&&!B0.areEqual(P.dims,[1])&&P.dims.length!==2)throw Error(`Input 'position_ids' is expected to have 0, 1, or 2 dimensions, got ${P.dims.length}`);if(F.dims.length!==2)throw Error(`Input 'cos_cache' is expected to have 2 dimensions, got ${F.dims.length}`);if(M.dims.length!==2)throw Error(`Input 'sin_cache' is expected to have 2 dimensions, got ${M.dims.length}`);if(!B0.areEqual(F.dims,M.dims))throw Error("Inputs 'cos_cache' and 'sin_cache' are expected to have the same shape");if(C>0&&K===0)throw Error("num_heads must be provided if rotary_embedding_dim is specified");let h=x.dims[0],m=x.dims[x.dims.length-2],u=F.dims[0],d=B0.sizeFromDimension(x.dims,1)/m,o=C===0?2*F.dims[1]:d/K;if(C>o)throw Error("rotary_embedding_dim must be less than or equal to head_size");if(P.dims.length===2){if(h!==P.dims[0])throw Error(`Input 'position_ids' dimension 0 should be of size batch_size, got ${P.dims[0]}`);if(m!==P.dims[1])throw Error(`Input 'position_ids' dimension 1 should be of size sequence_length, got ${P.dims[1]}`)}if(o/2!==F.dims[1]&&C/2!==F.dims[1])throw Error(`Input 'cos_cache' dimension 1 should be same as head_size / 2 or rotary_embedding_dim / 2, got ${F.dims[1]}`);if(m>u)throw Error("Updating cos_cache and sin_cache in RotaryEmbedding is not currently supported")},R4=(q,v)=>{let{interleaved:x,numHeads:P,rotaryEmbeddingDim:F,scale:M}=v,K=q[0].dims[0],C=B0.sizeFromDimension(q[0].dims,1),h=q[0].dims[q[0].dims.length-2],m=C/h,u=q[2].dims[1],d=F===0?2*u:m/P,o=[K,h,m/d,d-u],a=B0.computeStrides(o),j0=[{type:1,data:M},{type:12,data:o},{type:12,data:a},...q[0].dims.length===3?[{type:12,data:[C,m,d,1]}]:[],...q[0].dims.length===4?[{type:12,data:[C,d,h*d,1]}]:[],...C5(q[0].dims,q[1].dims,q[2].dims,q[3].dims,q[0].dims)];return{name:"RotaryEmbedding",shaderCache:{hint:P6({interleaved:x}).cacheKey,inputDependencies:["rank","rank","rank","rank"]},getShaderSource:(U0)=>{let _0=u0("input",q[0].dataType,q[0].dims.length),H0=u0("position_ids",q[1].dataType,q[1].dims.length),Y0=u0("cos_cache",q[2].dataType,q[2].dims.length),k0=u0("sin_cache",q[3].dataType,q[3].dims.length),D0=h5("output",q[0].dataType,q[0].dims.length);return U0.registerUniforms([{name:"scale",type:"f32"},{name:"global_shape",type:"u32",length:o.length},{name:"global_strides",type:"u32",length:a.length},{name:"input_output_strides",type:"u32",length:a.length}]),` + ${U0.declareVariables(_0,H0,Y0,k0,D0)} + + ${U0.mainStart(Q6)} + let half_rotary_emb_dim = uniforms.${Y0.name}_shape[1]; + let bsnh = global_idx / uniforms.global_strides % uniforms.global_shape; + let size = uniforms.global_shape[0] * uniforms.global_strides[0]; + ${U0.guardAgainstOutOfBoundsWorkgroupSizes("size")} + + if (bsnh[3] < half_rotary_emb_dim) { + let position_ids_idx = + ${H0.broadcastedIndicesToOffset("bsnh.xy",h5("",H0.type.tensor,2))}; + let position_id = + u32(${H0.getByOffset("position_ids_idx")}) + select(0, bsnh[1], position_ids_idx == 0); + let i = dot(bsnh, uniforms.input_output_strides) + select(0, bsnh[3], ${x}); + let j = i + select(half_rotary_emb_dim, 1, ${x}); + let re = ${_0.getByOffset("i")} * ${Y0.get("position_id","bsnh[3]")} - + ${_0.getByOffset("j")} * ${k0.get("position_id","bsnh[3]")}; + ${D0.setByOffset("i","re")} + let im = ${_0.getByOffset("i")} * ${k0.get("position_id","bsnh[3]")} + + ${_0.getByOffset("j")} * ${Y0.get("position_id","bsnh[3]")}; + ${D0.setByOffset("j","im")} + } else { + let k = dot(bsnh, uniforms.input_output_strides) + half_rotary_emb_dim; + ${D0.setByOffset("k",_0.getByOffset("k"))} + } + }`},getRunData:()=>({outputs:[{dims:q[0].dims,dataType:q[0].dataType}],dispatchGroup:{x:Math.ceil(B0.size(o)/Q6)},programUniforms:j0})}},pj=(q,v)=>{mj(q.inputs,v),q.compute(R4(q.inputs,v))}}),Gq=q0(()=>{S9(),q6(),b8(),dG(),lG(),m2(),oG(),T6(),Aj=(q,v)=>{if(v.doRotary&&q.length<=7)throw Error("cos_cache and sin_cache inputs are required if do_rotary is specified");let x=q[0],P=q[1],F=q[2],M=q[3],K=q[4];if(v.doRotary!==0&&q.length<=7)throw Error("cos_cast and sin_cache are expected if do_rotary attribute is non-zero");if(v.localWindowSize!==-1)throw Error("Local attention is not supported");if(v.softcap!==0)throw Error("Softcap is not supported");if(v.rotaryInterleaved!==0)throw Error("Rotary interleaved is not supported");if(v.smoothSoftmax)throw Error("Smooth softmax is not supported");if(x.dims.length!==3&&x.dims.length!==5)throw Error("Input query is expected to have 3 or 5 dimensions");let C=x.dims[0],h=x.dims[1],m=x.dims.length===3?x.dims[2]:v.numHeads*x.dims[4],u=h,d=0,o=!P||P.dims.length===0,a=Math.floor(o?m/(v.numHeads+2*v.kvNumHeads):m/v.numHeads);o&&(m=a*v.numHeads);let j0=M&&M.dims.length!==0,U0=K&&K.dims.length!==0;if(j0&&M.dims.length===4&&M.dims[0]===C&&M.dims[1]!==v.kvNumHeads&&M.dims[2]===v.kvNumHeads&&M.dims[3]===a)throw Error("BSNH pastKey/pastValue is not supported");if(j0&&U0){if(M.dims.length!==4)throw Error('Input "past_key" is expected to have 4 dimensions');if(K.dims.length!==4)throw Error('Input "past_value" is expected to have 4 dimensions');d=M.dims[2]}else if(j0||U0)throw Error('Input "past_key" and "past_value" shall be both present or both absent');let _0=1;if(P&&P.dims.length>0){if(x.dims.length!==3)throw Error('Input "query" is expected to have 3 dimensions when key is given');if(P.dims.length<3||P.dims.length>5)throw Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(x.dims[0]!==P.dims[0])throw Error('Input "query" and "key" shall have same dim 0 (batch size)');if(P.dims.length===3){if(x.dims[2]%P.dims[2]!==0)throw Error('Dimension 2 of "query" should be a multiple of "key"');u=P.dims[1]}else if(P.dims.length===5){if(P.dims[2]!==v.numHeads||P.dims[3]!==2||P.dims[4]!==a)throw Error('Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(F)throw Error('Expect "value" be none when "key" has packed kv format.');u=P.dims[1]}else{if(P.dims[1]!==v.numHeads||P.dims[3]!==a)throw Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');u=P.dims[2]}}else{if(x.dims.length!==3&&x.dims.length!==5)throw Error('Input "query" is expected to have 3 or 5 dimensions when key is empty');if(x.dims.length===5&&(x.dims[2]!==v.numHeads||x.dims[3]!==3))throw Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');_0=3}let H0=!1,Y0=v.kvNumHeads?a*v.kvNumHeads:m;if(F&&F.dims.length>0){if(F.dims.length!==3&&F.dims.length!==4)throw Error('Input "value" is expected to have 3 or 4 dimensions');if(x.dims[0]!==F.dims[0])throw Error('Input "query" and "value" shall have same dim 0 (batch_size)');if(F.dims.length===3){if(u!==F.dims[1])throw Error('Input "key" and "value" shall have the same dim 1 (kv_sequence_length)');Y0=F.dims[2]}else{if(u!==F.dims[2])throw Error('Input "past_key" and "past_value" shall have the same dim 2 (kv_sequence_length)');Y0=F.dims[1]*F.dims[3],H0=!0}}let k0=q.length>4?q[5]:void 0;if(k0&&k0.dims.length!==1&&k0.dims[0]!==C)throw Error('Input "seqlens" is expected to have 1 dimension and the same dim 0 as batch_size');return{batchSize:C,sequenceLength:h,pastSequenceLength:d,kvSequenceLength:u,totalSequenceLength:-1,maxSequenceLength:-1,inputHiddenSize:0,hiddenSize:m,vHiddenSize:Y0,headSize:a,vHeadSize:Math.floor(Y0/v.kvNumHeads),numHeads:v.numHeads,kvNumHeads:v.kvNumHeads,nReps:v.numHeads/v.kvNumHeads,pastPresentShareBuffer:!1,maskType:0,scale:v.scale,broadcastResPosBias:!1,passPastInKv:H0,qkvFormat:_0}},gj=P6({perm:[0,2,1,3]}),V8=(q,v,x)=>{let P=v,F=x.kvNumHeads;return v.dims.length===3&&x.kvSequenceLength!==0&&(P=v.reshape([x.batchSize,x.kvSequenceLength,F,x.headSize]),P=q.compute(A9(P,gj.perm),{inputs:[P],outputs:[-1]})[0]),P},uj=(q,v,x,P)=>{let F=[q*v],M=q*v,K=[{type:12,data:M},{type:12,data:v},{type:12,data:q}];return{name:"GeneratePositionIds",shaderCache:{hint:`${q};${v}`,inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:F,dataType:7}],dispatchGroup:{x:Math.ceil(M/64)},programUniforms:K}),getShaderSource:(C)=>{let h=u0("seq_lens",x.dataType,x.dims),m=u0("total_seq_lens",P.dataType,P.dims),u=h5("pos_ids",7,F);return` + ${C.registerUniforms([{name:"output_size",type:"u32"},{name:"sequence_length",type:"u32"},{name:"batch_size",type:"u32"}]).declareVariables(h,m,u)} + ${C.mainStart()} + ${C.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let total_sequence_length = u32(${m.getByOffset("0")}); + let is_subsequent_prompt = uniforms.sequence_length > 1 && uniforms.sequence_length != total_sequence_length; + let is_first_prompt = !is_subsequent_prompt && uniforms.sequence_length == total_sequence_length; + let batch_idx = global_idx / uniforms.sequence_length; + let sequence_idx = i32(global_idx % uniforms.sequence_length); + var pos_id: i32 = 0; + let seqlen = ${h.getByOffset("batch_idx")}; + let total_seqlen = seqlen + 1; + if (is_first_prompt) { + if (sequence_idx < total_seqlen) { + pos_id = sequence_idx; + } else { + pos_id = 1; + } + ${u.setByOffset("global_idx","pos_id")} + } else if (is_subsequent_prompt) { + let past_seqlen = total_seqlen - i32(uniforms.sequence_length); + if (past_seqlen + sequence_idx < total_seqlen) { + pos_id = past_seqlen + sequence_idx; + } else { + pos_id = 1; + } + ${u.setByOffset("global_idx","pos_id")} + } else if (global_idx < uniforms.batch_size) { + ${u.setByOffset("global_idx","seqlen")} + }; + } + `}}},dj=(q,v)=>{let x=Aj(q.inputs,v);if(q.inputs[0].dims.length===5)throw Error("Packed QKV is not implemented");if(q.inputs[1]?.dims.length===5)throw Error("Packed KV is not implemented");let P,F,M=q.inputs[0],K=q.inputs[1]&&q.inputs[1].dims.length>0?q.inputs[1]:void 0,C=q.inputs[2]&&q.inputs[2].dims.length>0?q.inputs[2]:void 0,h=q.inputs[3]&&q.inputs[3].dims.length!==0?q.inputs[3]:void 0,m=q.inputs[4]&&q.inputs[4].dims.length!==0?q.inputs[4]:void 0,u=q.inputs.length>4?q.inputs[5]:void 0,d=q.inputs.length>5?q.inputs[6]:void 0,o=x.kvNumHeads?x.kvNumHeads:x.numHeads,a=P6({axis:2,numOutputs:3,splitSizes:[x.numHeads*x.headSize,o*x.headSize,o*x.headSize]}),[j0,U0,_0]=K||C?[M,K,C]:q.compute(q8([M],a),{inputs:[M],outputs:[-1,-1,-1]});if(v.doRotary){let D0=q.compute(uj(x.batchSize,x.sequenceLength,u,d),{inputs:[u,d],outputs:[-1]})[0],b0=q.inputs[7],m0=q.inputs[8],x5=P6({interleaved:v.rotaryInterleaved!==0,numHeads:x.numHeads,rotaryEmbeddingDim:0,scale:v.scale}),f5=[j0,D0,b0,m0],c5=[-1];P=q.compute(R4(f5,x5),{inputs:f5,outputs:c5})[0],f5.splice(0,1,U0);let l5=P6({interleaved:v.rotaryInterleaved!==0,numHeads:x.kvNumHeads,rotaryEmbeddingDim:0,scale:v.scale});F=q.compute(R4(f5,l5),{inputs:f5,outputs:c5})[0]}let H0=v4(q,x.batchSize,x.numHeads,x.sequenceLength,x.headSize,v.doRotary?P:j0,void 0,0),Y0=V8(q,v.doRotary?F:U0,x),k0=V8(q,_0,x);v1(q,H0,Y0,k0,void 0,void 0,h,m,void 0,x,u,d)}}),Zq=q0(()=>{q6(),X6(),m2(),T6(),h4=(q,v,x,P,F,M,K,C)=>{let h=k6(M),m=h===1?"f32":`vec${h}f`,u=h===1?"vec2f":`mat2x${h}f`,d=F*K,o=64;d===1&&(o=256);let a=[F,K,M/h],j0=[F,K,2],U0=[];return U0.push(...C5(a,j0)),q.compute({name:"InstanceNormComputeChannelScaleShift",shaderCache:{hint:`${h};${C};${o}`,inputDependencies:["rank","type","type"]},getRunData:()=>({outputs:[{dims:j0,dataType:1}],dispatchGroup:{x:d},programUniforms:U0}),getShaderSource:(_0)=>{let H0=u0("x",v.dataType,3,h),Y0=[H0,u0("scale",x.dataType,x.dims),u0("bias",P.dataType,P.dims),h5("output",1,3,2)];return` + var workgroup_shared : array<${u}, ${o}>; + const workgroup_size = ${o}u; + ${_0.declareVariables(...Y0)} + ${_0.mainStart(o)} + let batch = workgroup_index / uniforms.x_shape[1]; + let channel = workgroup_index % uniforms.x_shape[1]; + let hight = uniforms.x_shape[2]; + // initialize workgroup memory + var sum = ${m}(0); + var squared_sum = ${m}(0); + for (var h = local_idx; h < hight; h += workgroup_size) { + let value = ${m}(${H0.get("batch","channel","h")}); + sum += value; + squared_sum += value * value; + } + workgroup_shared[local_idx] = ${u}(sum, squared_sum); + workgroupBarrier(); + + for (var currSize = workgroup_size >> 1; currSize > 0; currSize = currSize >> 1) { + if (local_idx < currSize) { + workgroup_shared[local_idx] = workgroup_shared[local_idx] + workgroup_shared[local_idx + currSize]; + } + workgroupBarrier(); + } + if (local_idx == 0) { + let sum_final = ${B6("workgroup_shared[0][0]",h)} / f32(hight * ${h}); + let squared_sum_final = ${B6("workgroup_shared[0][1]",h)} / f32(hight * ${h}); + + let inv_std_dev = inverseSqrt(squared_sum_final - sum_final * sum_final + f32(${C})); + let channel_scale = inv_std_dev * f32(scale[channel]); + let channel_shift = f32(bias[channel]) - sum_final * channel_scale; + output[workgroup_index] = vec2f(channel_scale, channel_shift); + } + }`}},{inputs:[v,x,P],outputs:[-1]})[0]},lj=(q,v,x)=>{let P=v[0].dims,F=P,M=P[0],K=P[1],C=B0.sizeFromDimension(P,2),h=k6(C),m=B0.size(F)/h,u=h4(q,v[0],v[1],v[2],M,C,K,x.epsilon),d=[M,K,C/h],o=[M,K];q.compute({name:"InstanceNormalization",shaderCache:{hint:`${h}`,inputDependencies:["type","none"]},getRunData:()=>({outputs:[{dims:F,dataType:v[0].dataType}],dispatchGroup:{x:Math.ceil(m/64)},programUniforms:[{type:12,data:m},...C5(d,o,d)]}),getShaderSource:(a)=>{let j0=u0("x",v[0].dataType,d.length,h),U0=u0("scale_shift",1,o.length,2),_0=h5("output",v[0].dataType,d.length,h),H0=[j0,U0,_0];return` + ${a.registerUniform("output_size","u32").declareVariables(...H0)} + ${a.mainStart()} + ${a.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let outputIndices = ${_0.offsetToIndices("global_idx")}; + let batch = outputIndices[0]; + let channel = outputIndices[1]; + let scale_shift = ${U0.getByIndices("vec2(batch, channel)")}; + let value = ${j0.getByOffset("global_idx")} * ${_0.type.value}(scale_shift.x) + ${_0.type.value}(scale_shift.y); + ${_0.setByOffset("global_idx","value")}; + }`}},{inputs:[v[0],u]})},oj=(q,v,x)=>{let P=v[0].dims,F=P,M=P[0],K=P[P.length-1],C=B0.sizeFromDimension(P,1)/K,h=k6(K),m=B0.size(F)/h,u=[{type:12,data:C},{type:12,data:Math.floor(K/h)}],d=!1,o=[0,P.length-1];for(let U0=0;U0P[o[_0]])),j0=h4(q,a,v[1],v[2],M,C,K,x.epsilon);q.compute({name:"InstanceNormalizationNHWC",shaderCache:{hint:`${h}`,inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:F,dataType:v[0].dataType}],dispatchGroup:{x:Math.ceil(m/64)},programUniforms:u}),getShaderSource:(U0)=>{let _0=N6(v[0].dataType),H0=h===1?"vec2f":`mat${h}x2f`,Y0=(b0)=>{let m0=b0===0?"x":"y",x5=h===1?"f32":`vec${h}f`;switch(h){case 1:return`${_0}(${x5}(scale.${m0}))`;case 2:return`vec2<${_0}>(${x5}(scale[0].${m0}, scale[1].${m0}))`;case 4:return`vec4<${_0}>(${x5}(scale[0].${m0}, scale[1].${m0}, scale[2].${m0}, scale[3].${m0}))`;default:throw Error(`Not supported compoents ${h}`)}},k0=u0("input",v[0].dataType,v[0].dims,h),D0=h5("output",v[0].dataType,F,h);return` + @group(0) @binding(0) var input : array<${k0.type.storage}>; + @group(0) @binding(1) var scale_input : array<${H0}>; + @group(0) @binding(2) var output : array<${D0.type.storage}>; + struct Uniforms {H: u32, C : u32}; + @group(0) @binding(3) var uniforms: Uniforms; + + ${U0.mainStart()} + let current_image_number = global_idx / (uniforms.C * uniforms.H); + let current_channel_number = global_idx % uniforms.C; + + let scale_offset = current_image_number * uniforms.C + current_channel_number; + let scale = scale_input[scale_offset]; + output[global_idx] = fma(input[global_idx], ${Y0(0)}, ${Y0(1)}); + }`}},{inputs:[v[0],j0]})},N8=(q,v)=>{v.format==="NHWC"?oj(q,q.inputs,v):lj(q,q.inputs,v)}}),KV=q0(()=>{q6(),X6(),T6(),sj=(q)=>{if(!q||q.length<2)throw Error("layerNorm requires at least 2 inputs.")},ij=(q,v,x)=>{let P=v.simplified,F=q[0].dims,M=q[1],K=!P&&q[2],C=F,h=B0.normalizeAxis(v.axis,F.length),m=B0.sizeToDimension(F,h),u=B0.sizeFromDimension(F,h),d=B0.size(M.dims),o=K?B0.size(K.dims):0;if(d!==u||K&&o!==u)throw Error(`Size of X.shape()[axis:] == ${u}. + Size of scale and bias (if provided) must match this. + Got scale size of ${d} and bias size of ${o}`);let a=[];for(let D0=0;D01,Y0=x>2,k0=[{dims:C,dataType:q[0].dataType}];return H0&&k0.push({dims:a,dataType:1}),Y0&&k0.push({dims:a,dataType:1}),{name:"LayerNormalization",shaderCache:{hint:`${j0};${x};${P}`,inputDependencies:U0},getRunData:()=>({outputs:k0,dispatchGroup:{x:Math.ceil(m/64)},programUniforms:_0}),getShaderSource:(D0)=>{let b0=N6(q[0].dataType),m0=[u0("x",q[0].dataType,q[0].dims,j0),u0("scale",M.dataType,M.dims,j0)];return K&&m0.push(u0("bias",K.dataType,K.dims,j0)),m0.push(h5("output",q[0].dataType,C,j0)),H0&&m0.push(h5("mean_data_output",1,a)),Y0&&m0.push(h5("inv_std_output",1,a)),` + ${D0.registerUniforms([{name:"norm_count",type:"u32"},{name:"norm_size",type:"f32"},{name:"norm_size_vectorized",type:"u32"},{name:"epsilon",type:"f32"}]).declareVariables(...m0)} + ${D0.mainStart()} + ${D0.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.norm_count")} + let offset = global_idx * uniforms.norm_size_vectorized; + var mean_vector = ${E9("f32",j0)}; + var mean_square_vector = ${E9("f32",j0)}; + + for (var h: u32 = 0u; h < uniforms.norm_size_vectorized; h++) { + let value = ${R9(b0,j0,"x[h + offset]")}; + mean_vector += value; + mean_square_vector += value * value; + } + let mean = ${B6("mean_vector",j0)} / uniforms.norm_size; + let inv_std_dev = inverseSqrt(${B6("mean_square_vector",j0)} / uniforms.norm_size ${P?"":"- mean * mean"} + uniforms.epsilon); + + for (var j: u32 = 0; j < uniforms.norm_size_vectorized; j++) { + let f32input = ${R9(b0,j0,"x[j + offset]")}; + let f32scale = ${R9(b0,j0,"scale[j]")}; + output[j + offset] = ${m0[0].type.value}((f32input ${P?"":"- mean"}) * inv_std_dev * f32scale + ${K?`+ ${R9(b0,j0,"bias[j]")}`:""} + ); + } + + ${H0?"mean_data_output[global_idx] = mean":""}; + ${Y0?"inv_std_output[global_idx] = inv_std_dev":""}; + }`}}},c2=(q,v)=>{sj(q.inputs),q.compute(ij(q.inputs,v,q.outputCount))}}),qq=q0(()=>{X6(),$G(),jG(),aj=(q)=>{if(!q||q.length!==2)throw Error("MatMul requires 2 inputs.");if(q[0].dims[q[0].dims.length-1]!==q[1].dims[q[1].dims.length-2])throw Error("shared dimension does not match.")},rj=(q)=>{aj(q.inputs);let v=p6.calcShape(q.inputs[0].dims,q.inputs[1].dims,!0);if(!v)throw Error("Can't use matmul on the given tensors");let x=v[v.length-1],P=q.inputs[0].dims[q.inputs[0].dims.length-1];if(x<8&&P<8)q.compute(K7(q.inputs,{activation:""},v));else{let F=v[v.length-2],M=B0.size(q.inputs[0].dims.slice(0,-2)),K=B0.size(q.inputs[1].dims.slice(0,-2));if(M!==1&&F===1&&K===1){let C=[1,M,x],h=[q.inputs[0].reshape([1,M,P]),q.inputs[1].reshape([1,P,x])];q.compute(M4(h,{activation:""},v,C),{inputs:h})}else q.compute(M4(q.inputs,{activation:""},v))}}}),Vq=q0(()=>{q6(),X6(),S9(),T6(),nj=(q,v)=>{if(q.length<3||q.length>4)throw Error("MatMulNBits requires 3 or 4 inputs");let x=q[0],P=x.dims.length;if(x.dims[P-1]!==v.k)throw Error("The last dim of input shape does not match the k value");let F=Math.floor((v.k+v.blockSize-1)/v.blockSize),M=v.blockSize/8*v.bits,K=q[1];if(!B0.areEqual(K.dims,[v.n,F,M]))throw Error("The second inputs must be 3D tensor with shape N X nBlocksPerCol X blobSize");let C=q[2].dims;if(B0.size(C)!==v.n*F)throw Error("scales input size error.");if(q.length===4){let h=q[3].dims,m=v.bits>4?v.n*F:v.n*Math.floor((F+1)/2);if(B0.size(h)!==m)throw Error("zeroPoints input size error.")}},tj=(q,v)=>{let x=q[0].dims,P=x.length,F=x[P-2],M=v.k,K=v.n,C=x.slice(0,P-2),h=B0.size(C),m=q[1].dims[2]/4,u=q[0].dataType,d=k6(v.k),o=k6(m),a=k6(K),j0=C.concat([F,K]),U0=F>1&&K/a%2==0?2:1,_0=B0.size(j0)/a/U0,H0=64,Y0=[],k0=[h,F,M/d],D0=B0.convertShape(q[1].dims).slice();D0.splice(-1,1,m/o),Y0.push(...C5(k0)),Y0.push(...C5(D0)),Y0.push(...C5(q[2].dims)),q.length===4&&Y0.push(...C5(B0.convertShape(q[3].dims)));let b0=[h,F,K/a];return Y0.push(...C5(b0)),{name:"MatMulNBits",shaderCache:{hint:`${v.blockSize};${v.bits};${d};${o};${a};${U0};64`,inputDependencies:Array(q.length).fill("rank")},getRunData:()=>({outputs:[{dims:j0,dataType:u}],dispatchGroup:{x:_0},programUniforms:Y0}),getShaderSource:(m0)=>{let x5=k0.length,f5=u0("a",q[0].dataType,x5,d),c5=u0("b",12,D0.length,o),l5=u0("scales",q[2].dataType,q[2].dims.length),G6=[f5,c5,l5],y6=q.length===4?u0("zero_points",12,q[3].dims.length):void 0;y6&&G6.push(y6);let A6=b0.length,w5=h5("output",q[0].dataType,A6,a),i0=N6(q[0].dataType),z5=(()=>{switch(d){case 1:return`array<${i0}, 8>`;case 2:return`mat4x2<${i0}>`;case 4:return`mat2x4<${i0}>`;default:throw Error(`${d}-component is not supported.`)}})();return` + var workgroup_shared: array<${w5.type.value}, ${U0*H0}>; + ${m0.declareVariables(...G6,w5)} + ${m0.mainStart([H0,1,1])} + let output_indices = ${w5.offsetToIndices(`(global_idx / 64) * ${U0}`)}; + let col = output_indices[2]; + let row = output_indices[1]; + let batch = output_indices[0]; + let nBlocksPerCol = uniforms.b_shape[1]; + + for (var block = local_id.x; block < nBlocksPerCol; block += 64) { + //process one block + var word_offset: u32 = block * ${v.blockSize/d}; + ${(()=>{let s5=` + var col_index = col * ${a}; + ${y6?` + let zero_point_bytes_per_col = (nBlocksPerCol + 1) / 2; + var zero_point_byte_count: u32; + var zero_point_word_index: u32; + var zero_point_byte_offset: u32; + let zero_point_nibble_offset: u32 = block & 0x1u; + var zero_point_bits_offset: u32; + var zero_point_word: u32;`:` + // The default zero point is 8 for unsigned 4-bit quantization. + let zero_point = ${i0}(8);`} + `;for(let r5=0;r5> 0x1u); + zero_point_word_index = zero_point_byte_count >> 0x2u; + zero_point_byte_offset = zero_point_byte_count & 0x3u; + zero_point_bits_offset = (zero_point_byte_offset << 3) + (zero_point_nibble_offset << 2); + zero_point_word = ${y6.getByOffset("zero_point_word_index")} >> zero_point_bits_offset; + let zero_point${r5} = ${i0}((zero_point_word) & 0xFu);`:""} + col_index += 1;`;return s5})()} + for (var word: u32 = 0; word < ${m}; word += ${o}) { + ${(()=>{let s5=`col_index = col * ${a};`;for(let r5=0;r5; + var b_value_upper: vec4; + var b_quantized_values: ${z5}; + var b_dequantized_values: ${z5};`,s5})()} + for (var i: u32 = 0; i < ${o}; i++) { + ${(()=>{let s5=` + // reuse a data + var input_offset = ${f5.indicesToOffset(`${f5.type.indices}(batch, row, word_offset)`)}; + var a_data: ${z5}; + for (var j: u32 = 0; j < ${8/d}; j++) { + a_data[j] = ${f5.getByOffset("input_offset")}; + input_offset++; + } + `;for(let r5=0;r5> 4) & b_mask); + b_quantized_values = ${z5}(${Array.from({length:4},(P9,f6)=>`${i0}(b_value_lower[${f6}]), ${i0}(b_value_upper[${f6}])`).join(", ")}); + b_dequantized_values = ${d===1?`${z5}(${Array.from({length:8},(P9,f6)=>`(b_quantized_values[${f6}] - ${y6?`zero_point${r5}`:"zero_point"}) * scale${r5}`).join(", ")});`:`(b_quantized_values - ${z5}(${Array(8).fill(y6?`zero_point${r5}`:"zero_point").join(",")})) * scale${r5};`}; + workgroup_shared[local_id.x * ${U0} + ${Math.floor(r5/a)}]${a>1?`[${r5%a}]`:""} += ${Array.from({length:8/d},(P9,f6)=>d===1?`a_data[${f6}] * b_dequantized_values[${f6}]`:`dot(a_data[${f6}], b_dequantized_values[${f6}])`).join(" + ")}; + `;return s5})()} + word_offset += ${8/d}; + } + } + } + workgroupBarrier(); + + if (local_id.x < ${U0}) { + var output_value: ${w5.type.value} = ${w5.type.value}(0); + var workgroup_shared_offset: u32 = local_id.x; + for (var b: u32 = 0u; b < 64u; b++) { + output_value += workgroup_shared[workgroup_shared_offset]; + workgroup_shared_offset += ${U0}; + } + ${w5.setByIndices(`${w5.type.indices}(batch, row, col + local_id.x)`,"output_value")}; + } + }`}}},J8=(q,v)=>{let x=q[0].dims,P=x.length,F=x[P-2],M=v.k,K=v.n,C=x.slice(0,P-2),h=B0.size(C),m=q[1].dims[2]/4,u=q[0].dataType,d=k6(v.k),o=k6(m),a=C.concat([F,K]),j0=K%8==0?8:K%4==0?4:1,U0=128/j0,_0=U0*o*8,H0=_0/d,Y0=_0/v.blockSize,k0=B0.size(a)/j0,D0=[],b0=[h,F,M/d],m0=B0.convertShape(q[1].dims).slice();m0.splice(-1,1,m/o),D0.push(...C5(b0)),D0.push(...C5(m0)),D0.push(...C5(q[2].dims)),q.length===4&&D0.push(...C5(B0.convertShape(q[3].dims)));let x5=[h,F,K];return D0.push(...C5(x5)),{name:"BlockwiseMatMulNBits32",shaderCache:{hint:`${v.blockSize};${d};${o};${U0};${j0}`,inputDependencies:Array(q.length).fill("rank")},getRunData:()=>({outputs:[{dims:a,dataType:u}],dispatchGroup:{x:k0},programUniforms:D0}),getShaderSource:(f5)=>{let c5=b0.length,l5=u0("a",q[0].dataType,c5,d),G6=u0("b",12,m0.length,o),y6=u0("scales",q[2].dataType,q[2].dims.length),A6=[l5,G6,y6],w5=q.length===4?u0("zero_points",12,q[3].dims.length):void 0;w5&&A6.push(w5);let i0=x5.length,z5=h5("output",q[0].dataType,i0),s5=N6(q[0].dataType);return` + var sub_a: array<${l5.type.value}, ${H0}>; + var inter_results: array, ${j0}>; + ${f5.declareVariables(...A6,z5)} + ${f5.mainStart([U0,j0,1])} + let output_indices = ${z5.offsetToIndices(`workgroup_index * ${j0}`)}; + let col = output_indices[2]; + let row = output_indices[1]; + let batch = output_indices[0]; + let n_blocks_per_col = uniforms.b_shape[1]; + let num_tiles = (n_blocks_per_col - 1) / ${Y0} + 1; + + // Loop over shared dimension. + for (var tile: u32 = 0; tile < num_tiles; tile += 1) { + let a_col_start = tile * ${H0}; + // load one tile A data into shared memory. + for (var a_offset = local_idx; a_offset < ${H0}; a_offset += 128) + { + let a_col = a_col_start + a_offset; + if (a_col < uniforms.a_shape[2]) + { + sub_a[a_offset] = ${l5.getByIndices(`${l5.type.indices}(batch, row, a_col)`)}; + } else { + sub_a[a_offset] = ${l5.type.value}(0); + } + } + workgroupBarrier(); + + // each thread process one block + let b_row = col + local_id.y; + let block = tile * ${Y0} + local_id.x; + ${w5?` + let zero_point_bytes_per_col = (n_blocks_per_col + 1) / 2; + let zero_point_byte_count = b_row * zero_point_bytes_per_col + (block >> 0x1u); + let zero_point_word_index = zero_point_byte_count >> 0x2u; + let zero_point_byte_offset = zero_point_byte_count & 0x3u; + let zero_point_nibble_offset: u32 = block & 0x1u; + let zero_point_bits_offset = (zero_point_byte_offset << 3) + (zero_point_nibble_offset << 2); + let zero_point_word = ${w5.getByOffset("zero_point_word_index")} >> zero_point_bits_offset; + let zero_point = ${s5}((zero_point_word) & 0xFu);`:` + // The default zero point is 8 for unsigned 4-bit quantization. + let zero_point = ${s5}(8);`} + let scale = ${y6.getByOffset("b_row * n_blocks_per_col + block")}; + let b_data = ${G6.getByIndices(`${G6.type.indices}(b_row, block, 0)`)}; + var word_offset = local_id.x * ${v.blockSize/d}; + for (var i: u32 = 0; i < ${o}; i++) { + ${(()=>{switch(d){case 1:return` + let a_data0 = vec4<${s5}>(sub_a[word_offset], sub_a[word_offset + 1], sub_a[word_offset + 2], sub_a[word_offset + 3]); + let a_data1 = vec4<${s5}>(sub_a[word_offset + 4], sub_a[word_offset + 5], sub_a[word_offset + 6], sub_a[word_offset + 7]);`;case 2:return` + let a_data0 = vec4<${s5}>(sub_a[word_offset], sub_a[word_offset + 1]); + let a_data1 = vec4<${s5}>(sub_a[word_offset + 2], sub_a[word_offset + 3]);`;case 4:return` + let a_data0 = sub_a[word_offset]; + let a_data1 = sub_a[word_offset + 1];`;default:throw Error(`${d}-component is not supported.`)}})()} + let b_value = ${o===1?"b_data":"b_data[i]"}; + let b_value_lower = unpack4xU8(b_value & 0x0F0F0F0Fu); + let b_value_upper = unpack4xU8((b_value >> 4) & 0x0F0F0F0Fu); + let b_quantized_values = mat2x4<${s5}>(${Array.from({length:4},(r5,P9)=>`${s5}(b_value_lower[${P9}]), ${s5}(b_value_upper[${P9}])`).join(", ")}); + let b_dequantized_values = (b_quantized_values - mat2x4<${s5}>(${Array(8).fill("zero_point").join(",")})) * scale; + inter_results[local_id.y][local_id.x] += ${Array.from({length:2},(r5,P9)=>`dot(a_data${P9}, b_dequantized_values[${P9}])`).join(" + ")}; + word_offset += ${8/d}; + } + workgroupBarrier(); + } + + if (local_idx < ${j0}) { + var output_value: ${z5.type.value} = ${z5.type.value}(0); + for (var b = 0u; b < ${U0}; b++) { + output_value += inter_results[local_idx][b]; + } + if (col + local_idx < uniforms.output_shape[2]) + { + ${z5.setByIndices(`${z5.type.indices}(batch, row, col + local_idx)`,"output_value")} + } + } + }`}}},ej=(q,v)=>{nj(q.inputs,v),v.blockSize===32&&q.adapterInfo.isVendor("intel")&&q.adapterInfo.isArchitecture("gen-12lp")?q.compute(J8(q.inputs,v)):q.compute(tj(q.inputs,v))},$O=(q)=>P6(q)}),Nq=q0(()=>{q6(),X6(),T6(),jO=(q)=>{if(!q||q.length<1)throw Error("Too few inputs");if(q[0].dataType!==1&&q[0].dataType!==10)throw Error("Input type must be float or float16.");if(q.length>=2){let v=2*q[0].dims.length===q[1].dims[0];if(q.length===4&&(v=2*q[3].dims[0]===q[1].dims[0]),!v)throw Error("The pads should be a 1D tensor of shape [2 * input_rank] or [2 * num_axes].")}},OO=(q,v,x)=>{let P="";for(let F=v-1;F>=0;--F)P+=` + k = i32(${q.indicesGet("indices",F)}) - ${B5("uniforms.pads",F,x)}; + if (k < 0) { + break; + } + if (k >= i32(${B5("uniforms.x_shape",F,v)})) { + break; + } + offset += k * i32(${B5("uniforms.x_strides",F,v)}); + `;return` + value = ${q.type.value}(uniforms.constant_value); + for (var i = 0; i < 1; i++) { + var offset = 0; + var k = 0; + ${P} + value = x[offset]; + } + `},c4=(q,v,x)=>{let P="";for(let F=v-1;F>=0;--F)P+=` + k = i32(${q.indicesGet("indices",F)}) - ${B5("uniforms.pads",F,x)}; + if (k < 0) { + k = -k; + } + { + let _2n_1 = 2 * (i32(${B5("uniforms.x_shape",F,v)}) - 1); + k = k % _2n_1; + if(k >= i32(${B5("uniforms.x_shape",F,v)})) { + k = _2n_1 - k; + } + } + offset += k * i32(${B5("uniforms.x_strides",F,v)}); + `;return` + var offset = 0; + var k = 0; + ${P} + value = x[offset]; + `},GO=(q,v,x)=>{let P="";for(let F=v-1;F>=0;--F)P+=` + k = i32(${q.indicesGet("indices",F)}) - ${B5("uniforms.pads",F,x)}; + if (k < 0) { + k = 0; + } + if (k >= i32(${B5("uniforms.x_shape",F,v)})) { + k = i32(${B5("uniforms.x_shape",F,v)}) - 1; + } + offset += k * i32(${B5("uniforms.x_strides",F,v)}); + `;return` + var offset = 0; + var k = 0; + ${P} + value = x[offset]; + `},ZO=(q,v,x)=>{let P="";for(let F=v-1;F>=0;--F)P+=` + k = i32(${q.indicesGet("indices",F)}) - ${B5("uniforms.pads",F,x)}; + if (k < 0) { + k += i32(${B5("uniforms.x_shape",F,v)}]); + } + if (k >= i32(${B5("uniforms.x_shape",F,v)})) { + k -= i32(${B5("uniforms.x_shape",F,v)}); + } + offset += k * i32(${B5("uniforms.x_strides",F,v)}); + `;return` + var offset = 0; + var k = 0; + ${P} + value = x[offset]; + `},qO=(q,v,x)=>{switch(x.mode){case 0:return OO(q,v,x.pads.length);case 1:return c4(q,v,x.pads.length);case 2:return GO(q,v,x.pads.length);case 3:return ZO(q,v,x.pads.length);default:throw Error("Invalid mode")}},U4=(q,v)=>{let x=B0.padShape(q[0].dims.slice(),v.pads),P=q[0].dims,F=[{type:12,data:B0.size(x)},{type:6,data:v.pads}],M=q.length>=3&&q[2].data;return v.mode===0&&F.push({type:M?q[2].dataType:1,data:v.value}),F.push(...C5(q[0].dims,x)),{name:"Pad",shaderCache:{hint:`${v.mode}${M}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:x,dataType:q[0].dataType}],dispatchGroup:{x:Math.ceil(B0.size(x)/64)},programUniforms:F}),getShaderSource:(K)=>{let C=h5("output",q[0].dataType,x.length),h=u0("x",q[0].dataType,P.length),m=h.type.value,u=qO(C,P.length,v),d=[{name:"output_size",type:"u32"},{name:"pads",type:"i32",length:v.pads.length}];return v.mode===0&&d.push({name:"constant_value",type:M?m:"f32"}),` + ${K.registerUniforms(d).declareVariables(h,C)} + ${K.mainStart()} + ${K.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + + let indices = ${C.offsetToIndices("global_idx")}; + + var value = ${m}(0); + ${u} + output[global_idx] = value; + }`}}},VO=(q,v)=>{if(q.length>1){let x=q[1].getBigInt64Array(),P=q.length>=3&&q[2].data?q[2].dataType===10?q[2].getUint16Array()[0]:q[2].getFloat32Array()[0]:0,F=q[0].dims.length,M=new Int32Array(2*F).fill(0);if(q.length>=4){let C=q[3].getBigInt64Array();for(let h=0;hM[Number(h)]=Number(C));let K=[];return M.forEach((C)=>K.push(C)),{mode:v.mode,value:P,pads:K}}return v},NO=(q,v)=>{jO(q.inputs);let x=VO(q.inputs,v);q.compute(U4(q.inputs,x),{inputs:[0]})}}),Jq=q0(()=>{d5(),q6(),X6(),T6(),H4=(q)=>{if(H.webgpu.validateInputContent&&(!q||q.length!==1))throw Error("Pool ops requires 1 input.")},v8=(q,v,x)=>{let P=v.format==="NHWC",F=q.dims.slice();P&&F.splice(1,0,F.pop());let M=Object.hasOwnProperty.call(v,"dilations"),K=v.kernelShape.slice(),C=v.strides.slice(),h=M?v.dilations.slice():[],m=v.pads.slice();P1.adjustPoolAttributes(x,F,K,C,h,m);let u=P1.computePoolOutputShape(x,F,C,h,K,m,v.autoPad),d=Object.assign({},v);M?Object.assign(d,{kernelShape:K,strides:C,pads:m,dilations:h,cacheKey:v.cacheKey}):Object.assign(d,{kernelShape:K,strides:C,pads:m,cacheKey:v.cacheKey});let o=u.slice();return o.push(o.splice(1,1)[0]),[d,P?o:u]},x4=(q,v)=>{let x=v.format==="NHWC",P=[{type:12,data:B0.size(q)},{type:12,data:B0.size(v.kernelShape)}],F=[{name:"outputSize",type:"u32"},{name:"kernelSize",type:"u32"}];if(v.kernelShape.length<=2){let M=v.kernelShape[v.kernelShape.length-1],K=v.strides[v.strides.length-1],C=v.pads[v.pads.length/2-1],h=v.pads[v.pads.length-1],m=!!(C+h);P.push({type:12,data:M},{type:12,data:K},{type:12,data:C},{type:12,data:h}),F.push({name:"kw",type:"u32"},{name:"sw",type:"u32"},{name:"pwStart",type:"u32"},{name:"pwEnd",type:"u32"});let u=!1;if(v.kernelShape.length===2){let d=v.kernelShape[v.kernelShape.length-2],o=v.strides[v.strides.length-2],a=v.pads[v.pads.length/2-2],j0=v.pads[v.pads.length-2];u=!!(a+j0),P.push({type:12,data:d},{type:12,data:o},{type:12,data:a},{type:12,data:j0}),F.push({name:"kh",type:"u32"},{name:"sh",type:"u32"},{name:"phStart",type:"u32"},{name:"phEnd",type:"u32"})}return[P,F,!0,m,u]}{if(x)throw Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let M=B0.computeStrides(v.kernelShape);return P.push({type:12,data:M},{type:12,data:v.pads},{type:12,data:v.strides}),F.push({name:"kernelStrides",type:"u32",length:M.length},{name:"pads",type:"u32",length:v.pads.length},{name:"strides",type:"u32",length:v.strides.length}),[P,F,!!v.pads.reduce((K,C)=>K+C),!1,!1]}},R8=(q,v,x,P,F,M,K,C,h,m,u,d)=>{let o=F.format==="NHWC",a=v.type.value,j0=h5("output",v.type.tensor,P);if(F.kernelShape.length<=2){let U0="",_0="",H0="",Y0=x-(o?2:1);if(U0=u?` + for (var i: u32 = 0u; i < uniforms.kw; i++) { + xIndices[${Y0}] = indices[${Y0}] * uniforms.sw - uniforms.pwStart + i; + if (xIndices[${Y0}] < 0 || xIndices[${Y0}] + >= uniforms.x_shape[${Y0}]) { + pad++; + continue; + } + let x_val = x[${v.indicesToOffset("xIndices")}]; + ${M} + }`:` + for (var i: u32 = 0u; i < uniforms.kw; i++) { + xIndices[${Y0}] = indices[${Y0}] * uniforms.sw - uniforms.pwStart + i; + let x_val = x[${v.indicesToOffset("xIndices")}]; + ${M} + }`,F.kernelShape.length===2){let k0=x-(o?3:2);_0=d?` + for (var j: u32 = 0u; j < uniforms.kh; j++) { + xIndices[${k0}] = indices[${k0}] * uniforms.sh - uniforms.phStart + j; + if (xIndices[${k0}] < 0 || xIndices[${k0}] >= uniforms.x_shape[${k0}]) { + pad += i32(uniforms.kw); + continue; + } + `:` + for (var j: u32 = 0u; j < uniforms.kh; j++) { + xIndices[${k0}] = indices[${k0}] * uniforms.sh - uniforms.phStart + j; + `,H0=` + } + `}return` + ${q.registerUniforms(h).declareVariables(v,j0)} + + ${q.mainStart()} + ${q.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + + let indices = ${j0.offsetToIndices("global_idx")}; + var xIndices = ${j0.offsetToIndices("global_idx")}; + + var value = ${a}(${C}); + var pad = 0; + ${_0} + ${U0} + ${H0} + ${K} + + output[global_idx] = value; + }`}{if(o)throw Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let U0=F.kernelShape.length,_0=F.pads.length,H0="";return H0=m?` + if (xIndices[j] >= uniforms.x_shape[j]) { + pad++; + isPad = true; + break; + } + } + if (!isPad) { + let x_val = x[${v.indicesToOffset("xIndices")}]; + ${M} + }`:` + } + let x_val = x[${v.indicesToOffset("xIndices")}]; + ${M} + `,` + ${q.registerUniforms(h).declareVariables(v,j0)} + + ${q.mainStart()} + ${q.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + let indices = ${j0.offsetToIndices("global_idx")}; + var xIndices = ${j0.offsetToIndices("global_idx")}; + + var offsets: array; + + var value = ${a}(${C}); + var pad = 0; + var isPad = false; + + for (var i: u32 = 0u; i < uniforms.kernelSize; i++) { + var offset = i; + for (var j = 0u; j < ${U0-1}u; j++) { + offsets[j] = offset / ${B5("uniforms.kernelStrides","j",U0)}; + offset -= offsets[j] * ${B5("uniforms.kernelStrides","j",U0)}; + } + offsets[${U0-1}] = offset; + + isPad = false; + for (var j = ${x-U0}u; j < ${x}u; j++) { + xIndices[j] = indices[j] * ${B5("uniforms.strides",`j - ${x-U0}u`,U0)} + + offsets[j - ${x-U0}u] - ${B5("uniforms.pads","j - 2u",_0)}; + ${H0} + } + ${K} + + output[global_idx] = value; + }`}},U8=(q)=>`${q.format};${q.ceilMode};${q.autoPad};${q.kernelShape.length}`,JO=(q)=>`${U8(q)};${q.countIncludePad}`,KG=(q)=>`${U8(q)};${q.storageOrder};${q.dilations}`,H8=(q)=>({format:q.format,autoPad:["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][q.auto_pad],ceilMode:q.ceil_mode,kernelShape:q.kernel_shape,strides:q.strides,pads:q.pads}),x8=(q,v,x,P)=>{let[F,M]=v8(v,P,x),K=u0("x",v.dataType,v.dims.length),C=K.type.value,h="";F.countIncludePad?h+=`value /= ${C}(uniforms.kernelSize);`:h+=`value /= ${C}(i32(uniforms.kernelSize) - pad);`;let[m,u,d,o,a]=x4(M,F);return m.push(...C5(v.dims,M)),{name:q,shaderCache:{hint:`${P.cacheKey};${d};${o};${a}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:M,dataType:v.dataType}],dispatchGroup:{x:Math.ceil(B0.size(M)/64)},programUniforms:m}),getShaderSource:(j0)=>R8(j0,K,v.dims.length,M.length,F,"value += x_val;",h,0,u,d,o,a)}},vO=(q)=>{let v=q.count_include_pad!==0,x=H8(q);if(x.ceilMode!==0)throw Error("using ceil() in shape computation is not yet supported for AveragePool");let P={countIncludePad:v,...x,cacheKey:""};return{...P,cacheKey:JO(P)}},e3=(q,v)=>{H4(q.inputs),q.compute(x8("AveragePool",q.inputs[0],!1,v))},L8={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[]},RO=(q)=>{let v=q.format;return{format:v,...L8,cacheKey:v}},UO=(q,v)=>{H4(q.inputs),q.compute(x8("GlobalAveragePool",q.inputs[0],!0,v))},_8=(q,v,x,P)=>{let[F,M]=v8(v,P,x),K=u0("x",v.dataType,v.dims.length),[C,h,m,u,d]=x4(M,F);return C.push(...C5(v.dims,M)),{name:q,shaderCache:{hint:`${P.cacheKey};${m};${u};${d}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:M,dataType:v.dataType}],dispatchGroup:{x:Math.ceil(B0.size(M)/64)},programUniforms:C}),getShaderSource:(o)=>R8(o,K,v.dims.length,M.length,F,` + value = max(x_val, value); + `,"",v.dataType===10?-65504:-1e5,h,m,u,d)}},HO=(q,v)=>{H4(q.inputs),q.compute(_8("MaxPool",q.inputs[0],!1,v))},xO=(q)=>{let{storage_order:v,dilations:x}=q,P=H8(q);if(v!==0)throw Error("column major storage order is not yet supported for MaxPool");if(P.ceilMode!==0)throw Error("using ceil() in shape computation is not yet supported for MaxPool");let F={storageOrder:v,dilations:x,...P,cacheKey:""};return{...F,cacheKey:KG(F)}},LO=(q)=>{let v=q.format;return{format:v,...L8,cacheKey:v}},m4=(q,v)=>{H4(q.inputs),q.compute(_8("GlobalMaxPool",q.inputs[0],!0,v))}}),vq=q0(()=>{q6(),X6(),S9(),T6(),bG=(q,v)=>{if(q.length<2||q.length>3)throw Error("DequantizeLinear requires 2 or 3 inputs.");if(q.length===3&&q[1].dims===q[2].dims)throw Error("x-scale and x-zero-point must have the same shape.");if(q.length===3&&q[0].dataType!==q[2].dataType)throw Error("x and x-zero-point must have the same data type.");if(q[0].dataType===6&&q.length>2)throw Error("In the case of dequantizing int32 there is no zero point.");if(q[1].dims.length!==0&&q[1].dims.length!==1&&q[1].dims.length!==q[0].dims.length)throw Error("scale input must be a scalar, a 1D tensor, or have the same rank as the input tensor.");if(q.length>2){if(q[0].dataType!==q[2].dataType)throw Error("x and x-zero-point must have the same data type.");if(q[1].dims.length!==q[2].dims.length)throw Error("scale and zero-point inputs must have the same rank.");if(!q[1].dims.map((x,P)=>x===q[2].dims[P]).reduce((x,P)=>x&&P,!0))throw Error("scale and zero-point inputs must have the same shape.")}if(v.blockSize>0){if(q[1].dims.length===0||q[1].dims.length===1&&q[1].dims[0]===1)throw Error("blockSize must be set only for block quantization.");if(!q[1].dims.map((F,M)=>M===v.axis||F===q[0].dims[M]).reduce((F,M)=>F&&M,!0))throw Error("For block qunatization, scale input shape to match the input shape except for the axis");if(q[1].dims.length!==q[0].dims.length)throw Error("For block qunatization the scale input rank must be the same as the x rank.");let x=q[0].dims[v.axis],P=q[1].dims[v.axis];if(v.blockSizeMath.ceil(x/(P-1)-1))throw Error("blockSize must be with in the range [ceil(dI / Si), ceil(dI / (Si - 1) - 1)].")}},_O=(q,v)=>{let x=B0.normalizeAxis(v.axis,q[0].dims.length),P=q[0].dataType,F=P===3,M=q[0].dims,K=q[1].dataType,C=B0.size(M),h=P===3||P===2,m=h?[Math.ceil(B0.size(q[0].dims)/4)]:q[0].dims,u=q[1].dims,d=q.length>2?q[2]:void 0,o=d?h?[Math.ceil(B0.size(d.dims)/4)]:d.dims:void 0,a=u.length===0||u.length===1&&u[0]===1,j0=a===!1&&u.length===1,U0=k6(C),_0=a&&(!h||U0===4),H0=_0?U0:1,Y0=_0&&!h?U0:1,k0=u0("input",h?12:P,m.length,Y0),D0=u0("scale",K,u.length),b0=d?u0("zero_point",h?12:P,o.length):void 0,m0=h5("output",K,M.length,H0),x5=[k0,D0];b0&&x5.push(b0);let f5=[m,u];d&&f5.push(o);let c5=[{type:12,data:C/H0},{type:12,data:x},{type:12,data:v.blockSize},...C5(...f5,M)];return{name:"DequantizeLinear",shaderCache:{hint:v.cacheKey,inputDependencies:b0?["rank","rank","rank"]:["rank","rank"]},getShaderSource:(l5)=>` + ${l5.registerUniforms([{name:"output_size",type:"u32"},{name:"axis",type:"u32"},{name:"block_size",type:"u32"}]).declareVariables(...x5,m0)} + ${l5.mainStart()} + ${l5.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let output_indices = ${m0.offsetToIndices("global_idx")}; + + // Set input x + ${h?` + let input = ${k0.getByOffset("global_idx / 4")}; + let x_vec = ${F?"unpack4xI8(input)":"unpack4xU8(input)"}; + let x_value = ${H0===1?"x_vec[global_idx % 4]":"x_vec"};`:`let x_value = ${k0.getByOffset("global_idx")};`}; + + // Set scale input + ${a?`let scale_value= ${D0.getByOffset("0")}`:j0?` + let scale_index = ${m0.indicesGet("output_indices","uniforms.axis")}; + let scale_value= ${D0.getByOffset("scale_index")};`:` + var scale_indices: ${D0.type.indices} = output_indices; + let index = ${D0.indicesGet("scale_indices","uniforms.axis")} / uniforms.block_size; + ${D0.indicesSet("scale_indices","uniforms.axis","index")}; + let scale_value= ${D0.getByIndices("scale_indices")};`}; + + // Set zero-point input + ${b0?a?h?` + let zero_point_input = ${b0.getByOffset("0")}; + let zero_point_vec = ${F?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"}; + let zero_point_value= zero_point_vec[0]`:`let zero_point_value = ${b0.getByOffset("0")}`:j0?h?` + let zero_point_index = ${m0.indicesGet("output_indices","uniforms.axis")}; + let zero_point_input = ${b0.getByOffset("zero_point_index / 4")}; + let zero_point_vec = ${F?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"}; + let zero_point_value = zero_point_vec[zero_point_index % 4]`:` + let zero_point_index = ${m0.indicesGet("output_indices","uniforms.axis")}; + let zero_point_value = ${b0.getByOffset("zero_point_index")};`:h?` + let zero_point_offset = ${D0.indicesToOffset("scale_indices")}; + let zero_point_input = ${b0.getByOffset("zero_point_offset / 4")}; + let zero_point_vec = ${F?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"}; + let zero_point_value = zero_point_vec[zero_point_offset % 4];`:`let zero_point_value = ${b0.getByIndices("scale_indices")};`:`let zero_point_value = ${h?F?"i32":"u32":k0.type.value}(0);`}; + // Compute and write output + ${m0.setByOffset("global_idx",`${m0.type.value}(x_value - zero_point_value) * scale_value`)}; + }`,getRunData:()=>({outputs:[{dims:M,dataType:K}],dispatchGroup:{x:Math.ceil(C/H0/64),y:1,z:1},programUniforms:c5})}},YO=(q,v)=>{bG(q.inputs,v),q.compute(_O(q.inputs,v))},SO=(q)=>P6({axis:q.axis,blockSize:q.blockSize})}),Rq=q0(()=>{d5(),q6(),T6(),PO=(q,v,x)=>{if(q===v||qv&&x>0)throw Error("Range these inputs' contents are invalid.")},XO=(q,v,x,P)=>{let F=Math.abs(Math.ceil((v-q)/x)),M=[F],K=F,C=[{type:12,data:K},{type:P,data:q},{type:P,data:x},...C5(M)];return{name:"Range",shaderCache:{hint:`${P}`},getShaderSource:(h)=>{let m=h5("output",P,M.length),u=m.type.value,d=[{name:"outputSize",type:"u32"},{name:"start",type:u},{name:"delta",type:u}];return` + ${h.registerUniforms(d).declareVariables(m)} + ${h.mainStart()} + ${h.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + output[global_idx] = uniforms.start + ${u}(global_idx) * uniforms.delta; + }`},getRunData:()=>({outputs:[{dims:M,dataType:P}],dispatchGroup:{x:Math.ceil(K/64)},programUniforms:C})}},Y8=(q)=>{let v=0,x=0,P=0;q.inputs[0].dataType===6?(v=q.inputs[0].getInt32Array()[0],x=q.inputs[1].getInt32Array()[0],P=q.inputs[2].getInt32Array()[0]):q.inputs[0].dataType===1&&(v=q.inputs[0].getFloat32Array()[0],x=q.inputs[1].getFloat32Array()[0],P=q.inputs[2].getFloat32Array()[0]),H.webgpu.validateInputContent&&PO(v,x,P),q.compute(XO(v,x,P,q.inputs[0].dataType),{inputs:[]})}}),bV=q0(()=>{q6(),X6(),S9(),T6(),TO=(q,v,x,P)=>{if(q!=="none"&&P!=="i32"&&P!=="u32"&&P!=="f32")throw Error(`Input ${P} is not supported with reduction ${q}.`);let F=`{ + var oldValue = 0; + loop { + let newValueF32 =`,M=`; + let newValue = bitcast(newValueF32); + let res = atomicCompareExchangeWeak(&${v}, oldValue, newValue); + if res.exchanged { + break; + } + oldValue = res.old_value; + } + }`;switch(q){case"none":return`${v}=${x};`;case"add":return P==="i32"||P==="u32"?`atomicAdd(&${v}, bitcast<${P}>(${x}));`:` + ${F}bitcast<${P}>(oldValue) + (${x})${M}`;case"max":return P==="i32"||P==="u32"?`atomicMax(&${v}, bitcast<${P}>(${x}));`:` + ${F}max(bitcast(oldValue), (${x}))${M}`;case"min":return P==="i32"||P==="u32"?`atomicMin(&${v}, bitcast<${P}>(${x}));`:`${F}min(bitcast<${P}>(oldValue), (${x}))${M}`;case"mul":return`${F}(bitcast<${P}>(oldValue) * (${x}))${M}`;default:throw Error(`Reduction ${q} is not supported.`)}},S8=(q,v)=>(q===1?` + let element_count_dim = uniforms.output_strides; + let dim_value = uniforms.output_shape;`:` + let element_count_dim = uniforms.output_strides[${v?"i - indices_start":"i"}]; + let dim_value = uniforms.output_shape[${v?"i - indices_start":"i"} + uniforms.last_index_dimension];`)+` + + if (index >= 0) { + if (index >= i32(dim_value)) { + index = i32(dim_value - 1); + } + } else { + if (index < -i32(dim_value)) { + index = 0; + } else { + index += i32(dim_value); + } + } + data_offset += u32((u32(index) * element_count_dim));`,p4=(q,v,x)=>`for (var i = 0u; i < uniforms.num_updates_elements; i++) { + let value = updates[uniforms.num_updates_elements * ${x?"global_idx":"idx"} + i]; + ${TO(q.reduction,"output[data_offset + i]","value",v)} + }`,FO=(q,v)=>{let x=q[0].dims,P=q[1].dims,F=x,M=Math.ceil(B0.size(P)/1),K=P[P.length-1],C=B0.sizeFromDimension(x,K),h=B0.sizeFromDimension(P,0)/K,m=[{type:12,data:M},{type:12,data:K},{type:12,data:C},...C5(q[1].dims,q[2].dims,F)];return{name:"ScatterND",shaderCache:{hint:`${v.cacheKey}_${v.reduction}`,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:F,dataType:q[0].dataType}],dispatchGroup:{x:Math.ceil(M/64)},programUniforms:m}),getShaderSource:(u)=>{let d=u0("indices",q[1].dataType,q[1].dims.length),o=u0("updates",q[2].dataType,q[2].dims.length,1),a=v.reduction!=="none"&&v.reduction!==""?V2("output",q[0].dataType,F.length):h5("output",q[0].dataType,F.length,1);return` + ${u.registerUniform("output_size","u32").registerUniform("last_index_dimension","u32").registerUniform("num_updates_elements","u32").declareVariables(d,o,a)} + ${u.mainStart()} + ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + var hasDuplicates = false; + if (${v.reduction==="none"}) { + for (var i = 0; i < ${h}; i = i + 1) { + for (var j = i + 1; j < ${h}; j = j + 1) { + var index_i = i32(indices[i].x); + var index_j = i32(indices[j].x); + if (index_i == index_j) { + hasDuplicates = true; + break; + } + } + if (hasDuplicates) { + break; + } + } + } + + if (${v.reduction==="none"} && hasDuplicates) { + if (global_idx != 0u) { + return; + } + // Process each index-update pair individually when duplicates exist + for (var idx = 0u; idx < ${h}u; idx++) { + var data_offset = 0u; + for (var i = 0u; i < uniforms.last_index_dimension; i++) { + var index = i32(indices[idx * uniforms.last_index_dimension + i].x); + ${S8(x.length,!1)} + } + ${p4(v,a.type.value,!1)} + } + return; + } + + var data_offset = 0u; + var indices_start = uniforms.last_index_dimension * global_idx; + var indices_end = indices_start + uniforms.last_index_dimension; + for (var i = indices_start; i < indices_end; i++) { + var index = i32(indices[i].x); + ${S8(x.length,!0)} + } + ${p4(v,a.type.value,!0)} + }`}}},yO=(q)=>P6({reduction:q.reduction}),P8=(q,v)=>{q.compute(FO(q.inputs,v),{inputs:[q.inputs[1],q.inputs[2]],outputs:[]})}}),Uq=q0(()=>{q6(),X6(),S9(),T6(),zO=(q,v)=>{if(q.every((x)=>x>0||(()=>{throw Error("Resize requires scales input values to be positive")})),q.length>0){if(v.mode==="linear"){if(!(q.length===2||q.length===3||q.length===4&&q[0]===1&&q[1]===1||q.length===4&&q[0]===1&&q[3]===1||q.length===5&&q[0]===1&&q[1]===1))throw Error(`For linear mode, Resize requires scales to be 2D, 3D, 4D with either two outermost or one innermost and + one outermost scale values equal to 1, or 5D with two outermost scale values equal to 1`)}else if(v.mode==="cubic"&&!(q.length===2||q.length===4&&q[0]===1&&q[1]===1||q.length===4&&q[0]===1&&q[3]===1))throw Error("Resize requires scales input size to be 2 or 4 for cubic mode")}},kO=(q,v,x)=>{v.every((F)=>F>=0&&F{throw Error("Resize requires axes input values to be positive and less than rank")}));let P=Array(x).fill(1);return v.forEach((F,M)=>P[F]=q[M]),P},A4=(q,v,x,P,F,M)=>{let[K,C,h]=x>10?[1,2,3]:[-1,q.length>1?1:-1,-1],m=q[0].dims.length;if(K>0&&q.length>K&&q[K].dims.length>0)q[K].getFloat32Array().forEach((u)=>M.push(u));else if(v.coordinateTransformMode==="tf_crop_and_resize")throw Error("Resize requires RoI input to be specified when coordinateTransformMode is tfCropAndResize");if(C>0&&q.length>C&&q[C].dims.length===1&&q[C].dims[0]>0){if(q[C].getFloat32Array().forEach((u)=>P.push(u)),P.length!==0&&P.length!==m&&x>=18&&P.length!==v.axes.length)throw Error("Resize requires scales input size to be same as input rank or axes size for opset 18 and up");zO(P,v),v.axes.length>0&&kO(P,v.axes,m).forEach((u,d)=>P[d]=u)}if(h>0&&q.length>h&&q[h].dims.length===1&&q[h].dims[0]>0&&(q[h].getBigInt64Array().forEach((u)=>F.push(Number(u))),F.length!==0&&F.length!==m&&x>=18&&F.length!==v.axes.length))throw Error("Resize requires sizes input size to be same as input rank or axes size for opset 18 and up");if(v.axes.length>0){if(P.length!==0&&P.length!==v.axes.length)throw Error('Resize requires "scales" input size to be of axes rank when axes attributes is specified');if(F.length!==0&&F.length!==v.axes.length)throw Error('Resize requires "sizes" input size to be of rank axes rank when axes attributes is specified')}if(typeof P<"u"&&typeof F<"u"&&P.length>0&&F.length>m)throw Error("Resize requires only of scales or sizes to be specified")},X8=(q,v,x,P)=>` + // The whole part and the fractional part are calculated separately due to inaccuracy of floating + // point division. As an example, f32(21) / f32(7) may evaluate to 2.99... instead of 3, causing an + // offset-by-one error later in floor(). + let big = (${q}) * (${v}); + let whole = ${P}(big / (${x})); + let fract = ${P}(big % (${x})) / ${P}(${x}); + return whole + fract; +`,IO=(q,v)=>`fn getOriginalCoordinateFromResizedCoordinate(xResized: u32, xScale: f32, lengthResized: u32, + lengthOriginal: u32, roiStart: f32, roiEnd: f32) -> ${v} { `+(()=>{switch(q){case"asymmetric":return` + if (xScale < 1.0 || floor(xScale) != xScale) { + return ${v}(xResized) / ${v}(xScale); + } else { + ${X8("xResized","lengthOriginal","lengthResized",v)} + } + `;case"pytorch_half_pixel":return`if (lengthResized > 1) { + return (${v}(xResized) + 0.5) / ${v}(xScale) - 0.5; + } else { + return 0.0; + }`;case"tf_half_pixel_for_nn":return`return (${v}(xResized) + 0.5) / ${v}(xScale);`;case"align_corners":return`if (lengthResized == 1) { + return 0.0; + } else { + ${X8("xResized","lengthOriginal - 1","lengthResized - 1",v)} + }`;case"tf_crop_and_resize":return`if (lengthResized > 1) { + return ${v}(roiStart) * ${v}(lengthOriginal - 1) + + (${v}(xResized) * ${v}(roiEnd - roiStart) * ${v}(lengthOriginal - 1)) / + ${v}(lengthResized - 1); + } else { + return 0.5 * ${v}(roiStart + roiEnd) * ${v}(lengthOriginal - 1); + }`;case"half_pixel_symmetric":return`const outputWidth = ${v}xScale * ${v}(lengthResized); + const adjustment = ${v}(lengthResized) / outputWidth; + const center = ${v}(lengthOriginal) / 2; + const offset = center * (1 - adjustment); + return offset + ((${v}(xResized) + 0.5) / ${v}(xScale)) - 0.5;`;case"half_pixel":return`return ((${v}(xResized) + 0.5) / ${v}(xScale)) - 0.5;`;default:throw Error(`Coordinate transform mode ${q} is not supported`)}})()+"}",DO=(q,v,x)=>`fn getNearestPixelFromOriginal(xOriginal: ${x}, isDownSample: bool) -> ${x} {`+(()=>{switch(q){case"round_prefer_ceil":return"if (fract(xOriginal) == 0.5) { return ceil(xOriginal); } else { return round(xOriginal); }";case"floor":return"return floor(xOriginal);";case"ceil":return"return ceil(xOriginal);";case"round_prefer_floor":return"if (fract(xOriginal) == 0.5) { return floor(xOriginal); } else { return round(xOriginal); }";default:if(v<11)return"if (isDownSample) { return ceil(xOriginal); } else { return xOriginal; }";throw Error(`Nearest mode ${q} is not supported`)}})()+"}",WO=(q,v,x)=>{let P=Array(x).fill(0).concat(Array(x).fill(1)),F=q.length===0?P:q.slice();return v.length>0?(v.forEach((M,K)=>{P[M]=F[K],P[K+x]=F[v.length+K]}),P):F},T8=(q,v,x,P)=>{let F=[];if(x.length>0)if(P.length>0){if(q.forEach((M)=>F.push(M)),Math.max(...P)>q.length)throw Error("axes is out of bound");P.forEach((M,K)=>F[M]=x[K])}else x.forEach((M)=>F.push(M));else{if(v.length===0)throw Error("Resize requires either scales or sizes.");F=q.map((M,K)=>Math.round(M*v[K]))}return F},g4=(q,v,x)=>{let P=(()=>{switch(x.keepAspectRatioPolicy){case"not_larger":return x.axes.length>0?Math.min(...x.axes.map((M)=>v[M]),Number.MAX_VALUE):Math.min(...v,Number.MAX_VALUE);case"not_smaller":return x.axes.length>0?Math.max(...x.axes.map((M)=>v[M]),Number.MIN_VALUE):Math.max(...v,Number.MIN_VALUE);default:throw Error(`Keep aspect ratio policy ${x.keepAspectRatioPolicy} is not supported`)}})();v.fill(1,0,v.length);let F=q.slice();return x.axes.length>0?(x.axes.forEach((M)=>v[M]=P),x.axes.forEach((M)=>F[M]=Math.round(q[M]*v[M]))):(v.fill(P,0,v.length),F.forEach((M,K)=>F[K]=Math.round(M*v[K]))),F},fG=(q,v,x,P,F)=>` + fn calculateOriginalIndicesFromOutputIndices(output_indices: ${q.type.indices}) -> array<${q.type.value}, ${x.length}> { + var original_indices: array<${q.type.value}, ${x.length}>; + for (var i:u32 = 0; i < ${x.length}; i++) { + var output_index = ${q.indicesGet("output_indices","i")}; + var scale = ${B5("uniforms.scales","i",P)}; + var roi_low = ${B5("uniforms.roi","i",F)}; + var roi_hi = ${B5("uniforms.roi",`i + ${v.length}`,F)}; + if (scale == 1.0) { + original_indices[i] = ${q.type.value}(output_index); + } else { + var input_shape_i = ${B5("uniforms.input_shape","i",v.length)}; + var output_shape_i = ${B5("uniforms.output_shape","i",x.length)}; + original_indices[i] = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i, + input_shape_i, roi_low, roi_hi); + } + } + return original_indices; + }`,MO=(q,v,x,P,F,M,K)=>` + fn calculateInputIndicesFromOutputIndices(output_indices: ${v.type.indices}) -> ${q.type.indices} { + var input_indices: ${q.type.indices}; + for (var i:u32 = 0; i < ${P.length}; i++) { + var output_index = ${v.indicesGet("output_indices","i")}; + var input_index: u32; + var scale = ${B5("uniforms.scales","i",F)}; + if (scale == 1.0) { + input_index = output_index; + } else { + var roi_low = ${B5("uniforms.roi","i",M)}; + var roi_hi = ${B5("uniforms.roi",`i + ${x.length}`,M)}; + var input_shape_i = ${B5("uniforms.input_shape","i",x.length)}; + var output_shape_i = ${B5("uniforms.output_shape","i",P.length)}; + var original_idx = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i, + input_shape_i, roi_low, roi_hi); + if (!${K} || (original_idx >= 0 && original_idx < ${v.type.value}(input_shape_i))) { + if (original_idx < 0) { + input_index = 0; + } else if (original_idx > ${v.type.value}(input_shape_i - 1)) { + input_index = input_shape_i - 1; + } else { + input_index = u32(getNearestPixelFromOriginal(original_idx, scale < 1)); + } + } else { + input_index = u32(original_idx); + } + } + ${q.indicesSet("input_indices","i","input_index")} + } + return input_indices; + }`,KO=(q,v)=>` + fn checkInputIndices(input_indices: ${q.type.indices}) -> bool { + for (var i:u32 = 0; i < ${v.length}; i++) { + var input_index = ${q.indicesGet("input_indices","i")}; + if (input_index < 0 || input_index >= ${B5("uniforms.input_shape","i",v.length)}) { + return false; + } + } + return true; + }`,u4=(q,v,x,P)=>q.rank>P?` + ${q.indicesSet("input_indices",v,"channel")}; + ${q.indicesSet("input_indices",x,"batch")}; +`:"",bO=(q,v,x,P,F)=>{let[M,K,C,h]=x.length===2?[-1,0,1,-1]:[0,2,3,1],m=q.type.value;return` + fn getInputValue(batch: u32, channel: u32, row: u32, col: u32) -> ${m} { + var input_indices: ${q.type.indices}; + ${q.indicesSet("input_indices",K,`max(0, min(row, ${x[K]} - 1))`)}; + ${q.indicesSet("input_indices",C,`max(0, min(col, ${x[C]} - 1))`)}; + ${u4(q,h,M,2)} + return ${q.getByIndices("input_indices")}; + } + + fn bilinearInterpolation(output_indices: ${v.type.indices}) -> ${m} { + var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices); + var row:${m} = originalIndices[${K}]; + var col:${m} = originalIndices[${C}]; + ${P?`if (row < 0 || row > (${x[K]} - 1) || col < 0 || col > (${x[C]} - 1)) { + return ${F}; + }`:""}; + row = max(0, min(row, ${x[K]} - 1)); + col = max(0, min(col, ${x[C]} - 1)); + var row1: u32 = u32(row); + var col1: u32 = u32(col); + var row2: u32 = u32(row + 1); + var col2: u32 = u32(col + 1); + var channel: u32 = ${x.length>2?`u32(originalIndices[${h}])`:"0"}; + var batch: u32 = ${x.length>2?`u32(originalIndices[${M}])`:"0"}; + var x11: ${m} = getInputValue(batch, channel, row1, col1); + var x12: ${m} = getInputValue(batch, channel, row1, col2); + var x21: ${m} = getInputValue(batch, channel, row2, col1); + var x22: ${m} = getInputValue(batch, channel, row2, col2); + var dx1: ${m} = abs(row - ${m}(row1)); + var dx2: ${m} = abs(${m}(row2) - row); + var dy1: ${m} = abs(col - ${m}(col1)); + var dy2: ${m} = abs(${m}(col2) - col); + if (row1 == row2) { + dx1 = 0.5; + dx2 = 0.5; + } + if (col1 == col2) { + dy1 = 0.5; + dy2 = 0.5; + } + return (x11 * dx2 * dy2 + x12 * dx2 * dy1 + x21 * dx1 * dy2 + x22 * dx1 * dy1); + }`},fO=(q,v,x,P,F,M,K,C,h,m)=>{let u=x.length===2,[d,o]=u?[0,1]:[2,3],a=q.type.value,j0=(U0)=>{let _0=U0===d?"row":"col";return` + fn ${_0}CubicInterpolation(input_indices: ${q.type.indices}, output_indices: ${v.type.indices}) -> ${a} { + var output_index = ${v.indicesGet("output_indices",U0)}; + var originalIdx: ${a} = getOriginalCoordinateFromResizedCoordinate(output_index, ${F[U0]}, + ${P[U0]}, ${x[U0]}, ${M[U0]}, ${M[U0]} + ${x.length}); + var fractOriginalIdx: ${a} = originalIdx - floor(originalIdx); + var coefs = getCubicInterpolationCoefs(fractOriginalIdx); + + if (${C} && (originalIdx < 0 || originalIdx > (${x[U0]} - 1))) { + return ${h}; + } + var data: array<${a}, 4> = array<${a}, 4>(0.0, 0.0, 0.0, 0.0); + for (var i: i32 = -1; i < 3; i++) { + var ${_0}: ${a} = originalIdx + ${a}(i); + if (${_0} < 0 || ${_0} >= ${x[U0]}) { + ${m?`coefs[i + 1] = 0.0; + continue;`:C?`return ${h};`:`${_0} = max(0, min(${_0}, ${x[U0]} - 1));`}; + } + var input_indices_copy: ${q.type.indices} = input_indices; + ${q.indicesSet("input_indices_copy",U0,`u32(${_0})`)}; + data[i + 1] = ${U0===d?q.getByIndices("input_indices_copy"):"rowCubicInterpolation(input_indices_copy, output_indices)"}; + } + return cubicInterpolation1D(data, coefs); + }`};return` + ${j0(d)}; + ${j0(o)}; + fn getCubicInterpolationCoefs(s: ${a}) -> array<${a}, 4> { + var absS = abs(s); + var coeffs: array<${a}, 4> = array<${a}, 4>(0.0, 0.0, 0.0, 0.0); + var oneMinusAbsS: ${a} = 1.0 - absS; + var twoMinusAbsS: ${a} = 2.0 - absS; + var onePlusAbsS: ${a} = 1.0 + absS; + coeffs[0] = ((${K} * onePlusAbsS - 5 * ${K}) * onePlusAbsS + 8 * ${K}) * onePlusAbsS - 4 * ${K}; + coeffs[1] = ((${K} + 2) * absS - (${K} + 3)) * absS * absS + 1; + coeffs[2] = ((${K} + 2) * oneMinusAbsS - (${K} + 3)) * oneMinusAbsS * oneMinusAbsS + 1; + coeffs[3] = ((${K} * twoMinusAbsS - 5 * ${K}) * twoMinusAbsS + 8 * ${K}) * twoMinusAbsS - 4 * ${K}; + return coeffs; + } + + fn cubicInterpolation1D(x: array<${a}, 4>, coefs: array<${a}, 4>) -> ${a} { + var coefsSum: ${a} = coefs[0] + coefs[1] + coefs[2] + coefs[3]; + return (x[0] * coefs[0] + x[1] * coefs[1]+ x[2] * coefs[2]+ x[3] * coefs[3]) / coefsSum; + } + + fn bicubicInterpolation(output_indices: ${v.type.indices}) -> ${a} { + var input_indices: ${q.type.indices} = output_indices; + return colCubicInterpolation(input_indices, output_indices); + } + `},F8=(q,v,x,P,F)=>{let[M,K,C,h,m]=x.length===3?[-1,0,1,2,-1]:[0,2,3,4,1],u=q.type.value;return` + fn getInputValue(batch: u32, channel: u32, depth:u32, height: u32, width: u32) -> ${u} { + var input_indices: ${q.type.indices}; + ${q.indicesSet("input_indices",K,`max(0, min(depth, ${x[K]} - 1))`)}; + ${q.indicesSet("input_indices",C,`max(0, min(height, ${x[C]} - 1))`)}; + ${q.indicesSet("input_indices",h,`max(0, min(width, ${x[h]} - 1))`)}; + ${u4(q,m,M,3)} + return ${q.getByIndices("input_indices")}; + } + + fn trilinearInterpolation(output_indices: ${v.type.indices}) -> ${u} { + var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices); + var depth:${u} = originalIndices[${K}]; + var height:${u} = originalIndices[${C}]; + var width:${u} = originalIndices[${h}]; + ${P?`if (depth < 0 || depth > (${x[K]} - 1) || height < 0 || height > (${x[C]} - 1) || width < 0 || (width > ${x[h]} - 1)) { + return ${F}; + }`:""}; + + depth = max(0, min(depth, ${x[K]} - 1)); + height = max(0, min(height, ${x[C]} - 1)); + width = max(0, min(width, ${x[h]} - 1)); + var depth1: u32 = u32(depth); + var height1: u32 = u32(height); + var width1: u32 = u32(width); + var depth2: u32 = u32(depth + 1); + var height2: u32 = u32(height + 1); + var width2: u32 = u32(width + 1); + var channel: u32 = ${x.length>3?`u32(originalIndices[${m}])`:"0"}; + var batch: u32 = ${x.length>3?`u32(originalIndices[${M}])`:"0"}; + + var x111: ${u} = getInputValue(batch, channel, depth1, height1, width1); + var x112: ${u} = getInputValue(batch, channel, depth1, height1, width2); + var x121: ${u} = getInputValue(batch, channel, depth1, height2, width1); + var x122: ${u} = getInputValue(batch, channel, depth1, height2, width2); + var x211: ${u} = getInputValue(batch, channel, depth2, height1, width1); + var x212: ${u} = getInputValue(batch, channel, depth2, height1, width2); + var x221: ${u} = getInputValue(batch, channel, depth2, height2, width1); + var x222: ${u} = getInputValue(batch, channel, depth2, height2, width2); + var dx1: ${u} = abs(depth - ${u}(depth1)); + var dx2: ${u} = abs(${u}(depth2) - depth); + var dy1: ${u} = abs(height - ${u}(height1)); + var dy2: ${u} = abs(${u}(height2) - height); + var dz1: ${u} = abs(width - ${u}(width1)); + var dz2: ${u} = abs(${u}(width2) - width); + if (depth1 == depth2) { + dx1 = 0.5; + dx2 = 0.5; + } + if (height1 == height2) { + dy1 = 0.5; + dy2 = 0.5; + } + if (width1 == width2) { + dz1 = 0.5; + dz2 = 0.5; + } + return (x111 * dx2 * dy2 * dz2 + x112 * dx2 * dy2 * dz1 + x121 * dx2 * dy1 *dz2 + x122 * dx2 * dy1 * dz1 + + x211 * dx1 * dy2 * dz2 + x212 * dx1 * dy2 * dz1 + x221 * dx1 * dy1 *dz2 + x222 * dx1 * dy1 * dz1); + }`},wO=(q,v,x,P,F,M)=>{let K=q.dims,C=WO(M,v.axes,K.length),h=T8(K,P,F,v.axes),m=P.slice();P.length===0&&(m=K.map((H0,Y0)=>H0===0?1:h[Y0]/H0),v.keepAspectRatioPolicy!=="stretch"&&(h=g4(K,m,v)));let u=h5("output",q.dataType,h.length),d=u0("input",q.dataType,K.length),o=B0.size(h),a=K.length===h.length&&K.every((H0,Y0)=>H0===h[Y0]),j0=v.coordinateTransformMode==="tf_crop_and_resize",U0=v.extrapolationValue,_0=d.type.value;return{name:"Resize",shaderCache:{hint:`${v.cacheKey}|${x}|${m.length>0?v.mode==="cubic"?m:m.length:""}|${F.length>0?F:""}|${C.length>0?C:""}|${a}|${v.mode==="nearest"?K.length:K}`,inputDependencies:["rank"]},getShaderSource:(H0)=>` + ${a?"":` + ${IO(v.coordinateTransformMode,_0)}; + ${(()=>{switch(v.mode){case"nearest":return` + ${KO(d,K)}; + ${DO(v.nearestMode,x,_0)}; + ${MO(d,u,K,h,m.length,C.length,j0)}; + `;case"linear":return` + ${fG(u,K,h,m.length,C.length)}; + ${(()=>{if(K.length===2||K.length===4)return`${bO(d,u,K,j0,U0)}`;if(K.length===3||K.length===5)return`${F8(d,u,K,j0,U0)}`;throw Error("Linear mode only supports input dims 2, 3, 4 and 5 are supported in linear mode.")})()}; + `;case"cubic":return` + ${(()=>{if(K.length===2||K.length===4)return`${fO(d,u,K,h,m,C,v.cubicCoeffA,j0,v.extrapolationValue,v.excludeOutside)}`;throw Error("Cubic mode only supports input dims 2 and 4 are supported in linear mode.")})()}; + `;default:throw Error("Invalid resize mode")}})()}; + `} + ${H0.registerUniform("output_size","u32").registerUniform("scales","f32",m.length).registerUniform("roi","f32",C.length).declareVariables(d,u)} + ${H0.mainStart()} + ${H0.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + ${a?"output[global_idx] = input[global_idx];":` + let output_indices = ${u.offsetToIndices("global_idx")}; + var input_indices: ${d.type.indices}; + ${(()=>{switch(v.mode){case"nearest":return`input_indices = calculateInputIndicesFromOutputIndices(output_indices); + if (checkInputIndices(input_indices)) { + output[global_idx] = ${d.getByIndices("input_indices")}; + } else { + output[global_idx] = ${v.extrapolationValue}; + }`;case"linear":return`output[global_idx] = ${K.length===2||K.length===4?"bilinearInterpolation":"trilinearInterpolation"}(output_indices);`;case"cubic":return"output[global_idx] = bicubicInterpolation(output_indices);";default:throw Error(`Unsupported resize mode: ${v.mode}`)}})()}; +`} + }`,getRunData:()=>({outputs:[{dims:h,dataType:q.dataType}],dispatchGroup:{x:Math.ceil(o/64)},programUniforms:[{type:12,data:o},{type:1,data:m},{type:1,data:C},...C5(K,h)]})}},EO=(q)=>{let v=q.customDataBuffer;return new Uint32Array(v,v.byteOffset,1)[0]},y8=(q,v)=>{let x=[],P=[],F=[],M=EO(q);if(v.antialias!==0)throw Error("Only default value (0) for Antialias attribute is supported");A4(q.inputs,v,M,x,P,F),q.compute(wO(q.inputs[0],v,M,x,P,F),{inputs:[0]})},wG=(q)=>{let{antialias:v,axes:x,coordinateTransformMode:P,cubicCoeffA:F}=q,M=q.excludeOutside!==0,K=q.extrapolationValue,C=q.keepAspectRatioPolicy,h=q.mode,m=q.nearestMode===""?"simple":q.nearestMode;return P6({antialias:v,axes:x,coordinateTransformMode:P,cubicCoeffA:F,excludeOutside:M,extrapolationValue:K,keepAspectRatioPolicy:C,mode:h,nearestMode:m})}}),Hq=q0(()=>{q6(),X6(),T6(),EG=(q)=>{if(!q||q.length<3)throw Error("layerNorm requires at least 3 inputs.");let v=q[0],x=q[1],P=q[2];if(v.dataType!==x.dataType||v.dataType!==P.dataType)throw Error("All inputs must have the same data type");if(v.dims.length!==3&&v.dims.length!==2)throw Error("Input must be 2D or 3D");if(x.dims.length!==3&&x.dims.length!==2)throw Error("Skip must be 2D or 3D");let F=v.dims[v.dims.length-1],M=v.dims[v.dims.length-2];if(x.dims[x.dims.length-1]!==F)throw Error("Skip must have the same hidden size as input");if(x.dims[x.dims.length-2]!==M)throw Error("Skip must have the same sequence length as input");if(P.dims.length!==1)throw Error("Gamma must be 1D");if(P.dims[P.dims.length-1]!==F)throw Error("Gamma must have the same hidden size as input");if(q.length>3){let K=q[3];if(K.dims.length!==1)throw Error("Beta must be 1D");if(K.dims[K.dims.length-1]!==F)throw Error("Beta must have the same hidden size as input")}if(q.length>4){let K=q[4];if(K.dims.length!==1)throw Error("Bias must be 1D");if(K.dims[K.dims.length-1]!==F)throw Error("Bias must have the same hidden size as input")}},z8=(q,v,x,P)=>{let F=v.simplified,M=q[0].dims,K=B0.size(M),C=M,h=K,m=M.slice(-1)[0],u=P?M.slice(0,-1).concat(1):[],d=!F&&q.length>3,o=q.length>4,a=P&&x>1,j0=P&&x>2,U0=x>3,_0=64,H0=k6(m),Y0=[{type:12,data:h},{type:12,data:H0},{type:12,data:m},{type:1,data:v.epsilon}],k0=[{dims:C,dataType:q[0].dataType}];return x>1&&k0.push({dims:u,dataType:1}),x>2&&k0.push({dims:u,dataType:1}),x>3&&k0.push({dims:M,dataType:q[0].dataType}),{name:"SkipLayerNormalization",shaderCache:{hint:`${H0};${a};${j0};${U0}`,inputDependencies:q.map((D0,b0)=>"type")},getShaderSource:(D0)=>{let b0=[u0("x",q[0].dataType,q[0].dims,H0),u0("skip",q[1].dataType,q[1].dims,H0),u0("gamma",q[2].dataType,q[2].dims,H0)];d&&b0.push(u0("beta",q[3].dataType,q[3].dims,H0)),o&&b0.push(u0("bias",q[4].dataType,q[4].dims,H0)),b0.push(h5("output",q[0].dataType,C,H0)),a&&b0.push(h5("mean_output",1,u)),j0&&b0.push(h5("inv_std_output",1,u)),U0&&b0.push(h5("input_skip_bias_sum",q[0].dataType,C,H0));let m0=N6(q[0].dataType),x5=N6(1,H0);return` + + ${D0.registerUniforms([{name:"output_size",type:"u32"},{name:"components",type:"u32"},{name:"hidden_size",type:"u32"},{name:"epsilon",type:"f32"}]).declareVariables(...b0)} + var sum_shared : array<${x5}, 64>; + var sum_squared_shared : array<${x5}, 64>; + + ${D0.mainStart([_0,1,1])} + let ix = local_id.x; + let iy = global_id.x / 64; + + let hidden_size_vectorized: u32 = uniforms.hidden_size / uniforms.components; + var stride = hidden_size_vectorized / 64; + let offset = ix * stride + iy * hidden_size_vectorized; + let offset1d = stride * ix; + if (ix == 63) { + stride = hidden_size_vectorized - stride * ix; + } + for (var i: u32 = 0; i < stride; i++) { + let skip_value = skip[offset + i]; + let bias_value = ${o?"bias[offset1d + i]":m0+"(0.0)"}; + let input_value = x[offset + i]; + let value = input_value + skip_value + bias_value; + ${U0?"input_skip_bias_sum[offset + i] = value;":""} + output[offset + i] = value; + let f32_value = ${R9(m0,H0,"value")}; + sum_shared[ix] += f32_value; + sum_squared_shared[ix] += f32_value * f32_value; + } + workgroupBarrier(); + + var reduce_size : u32 = 64; + for (var curr_size = reduce_size >> 1; curr_size > 0; curr_size = reduce_size >> 1) { + reduce_size = curr_size + (reduce_size & 1); + if (ix < curr_size) { + sum_shared[ix] += sum_shared[ix + reduce_size]; + sum_squared_shared[ix] += sum_squared_shared[ix + reduce_size]; + } + workgroupBarrier(); + } + + let sum = sum_shared[0]; + let square_sum = sum_squared_shared[0]; + let mean = ${B6("sum",H0)} / f32(uniforms.hidden_size); + let inv_std_dev = inverseSqrt(${B6("square_sum",H0)} / f32(uniforms.hidden_size) ${F?"":"- mean * mean"} + uniforms.epsilon); + ${a?"mean_output[global_idx] = mean;":""} + ${j0?"inv_std_output[global_idx] = inv_std_dev;":""} + + for (var i: u32 = 0; i < stride; i++) { + output[offset + i] = (output[offset + i] ${F?"":`- ${m0}(mean)`}) * + ${m0}(inv_std_dev) * gamma[offset1d + i] + ${d?"+ beta[offset1d + i]":""}; + } + }`},getRunData:()=>({outputs:k0,dispatchGroup:{x:Math.ceil(h/m)},programUniforms:Y0})}},d4=(q,v)=>{EG(q.inputs);let x=[0];q.outputCount>1&&x.push(-3),q.outputCount>2&&x.push(-3),q.outputCount>3&&x.push(3),q.compute(z8(q.inputs,v,q.outputCount,!1),{outputs:x})}}),xq=q0(()=>{q6(),X6(),S9(),T6(),QO=(q,v)=>{if(!q||q.length<1)throw Error("too few inputs");if(v.axes.length!==0){if(v.axes.length!==v.starts.length||v.axes.length!==v.ends.length)throw Error("axes, starts and ends must have the same length")}else if(v.starts.length!==v.ends.length)throw Error("starts and ends must have the same length");q.slice(1).forEach((x,P)=>{if(q[P+1].dataType!==6&&q[P+1].dataType!==7)throw Error(`Input ${P} must be an array of int32 or int64`)})},L4=(q,v)=>{let x=[];if(q.length>v)if(q[v].dataType===7)q[v].getBigInt64Array().forEach((P)=>x.push(Number(P)));else{if(q[v].dataType!==6)throw Error(`Input ${v} must be an array of int32 or int64`);q[v].getInt32Array().forEach((P)=>x.push(Number(P)))}return x},CO=(q,v)=>{if(q.length>1){let x=L4(q,1),P=L4(q,2),F=L4(q,3);return F.length===0&&(F=[...Array(q[0].dims.length).keys()]),P6({starts:x,ends:P,axes:F})}return v},_4=(q,v,x,P,F)=>{let M=q;return q<0&&(M+=x[P[v]]),F[v]<0?Math.max(0,Math.min(M,x[P[v]]-1)):Math.max(0,Math.min(M,x[P[v]]))},BO=(q,v,x)=>`fn calculateInputIndices(output_indices: ${v.type.indices}) -> ${q.type.indices} { + var input_indices: ${q.type.indices}; + var carry = 0u; + for (var i = ${x.length}; i >= 0; i--) { + let input_shape_i = ${B5("uniforms.input_shape","i",x.length)}; + let steps_i = ${B5("uniforms.steps","i",x.length)}; + let signs_i = ${B5("uniforms.signs","i",x.length)}; + let starts_i = ${B5("uniforms.starts","i",x.length)}; + var output_index = ${v.indicesGet("output_indices","i")}; + var input_index = output_index * steps_i + starts_i + carry; + carry = input_index / input_shape_i; + input_index = input_index % input_shape_i; + if (signs_i < 0) { + input_index = input_shape_i - input_index - 1u + starts_i; + } + ${q.indicesSet("input_indices","i","input_index")}; + } + return input_indices; + }`,hO=(q,v)=>{let x=q[0].dims,P=B0.size(x),F=v.axes.length>0?B0.normalizeAxes(v.axes,x.length):[...Array(x.length).keys()],M=L4(q,4);M.forEach((_0)=>_0!==0||(()=>{throw Error("step cannot be 0")})),M.length===0&&(M=Array(F.length).fill(1));let K=v.starts.map((_0,H0)=>_4(_0,H0,x,F,M)),C=v.ends.map((_0,H0)=>_4(_0,H0,x,F,M));if(F.length!==K.length||F.length!==C.length)throw Error("start, ends and axes should have the same number of elements");if(F.length!==x.length)for(let _0=0;_0Math.sign(_0));M.forEach((_0,H0,Y0)=>{if(_0<0){let k0=(C[H0]-K[H0])/_0,D0=K[H0],b0=D0+k0*M[H0];K[H0]=b0,C[H0]=D0,Y0[H0]=-_0}});let m=x.slice(0);F.forEach((_0,H0)=>{m[_0]=Math.ceil((C[_0]-K[_0])/M[_0])});let u={dims:m,dataType:q[0].dataType},d=h5("output",q[0].dataType,m.length),o=u0("input",q[0].dataType,q[0].dims.length),a=B0.size(m),j0=[{name:"outputSize",type:"u32"},{name:"starts",type:"u32",length:K.length},{name:"signs",type:"i32",length:h.length},{name:"steps",type:"u32",length:M.length}],U0=[{type:12,data:a},{type:12,data:K},{type:6,data:h},{type:12,data:M},...C5(q[0].dims,m)];return{name:"Slice",shaderCache:{hint:`${h.length}_${K.length}_${M.length}`,inputDependencies:["rank"]},getShaderSource:(_0)=>` + ${_0.registerUniforms(j0).declareVariables(o,d)} + ${BO(o,d,x)} + ${_0.mainStart()} + ${_0.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + let output_indices = ${d.offsetToIndices("global_idx")}; + let input_indices = calculateInputIndices(output_indices); + ${d.setByOffset("global_idx",o.getByIndices("input_indices"))} + }`,getRunData:()=>({outputs:[u],dispatchGroup:{x:Math.ceil(P/64)},programUniforms:U0})}},cO=(q,v)=>{QO(q.inputs,v);let x=CO(q.inputs,v);q.compute(hO(q.inputs,x),{inputs:[0]})},l4=(q)=>{let{starts:v,ends:x,axes:P}=q;return P6({starts:v,ends:x,axes:P})}}),Lq=q0(()=>{q6(),X6(),S9(),m2(),T6(),mO=(q)=>{if(!q||q.length!==1)throw Error("Softmax op requires 1 input.")},pO=(q,v)=>{let x,P=q.inputs[0],F=P.dims,M=B0.size(F),K=F.length,C=B0.normalizeAxis(v.axis,K),h=Cm0),m[C]=K-1,m[K-1]=C,x=q.compute(A9(P,m),{inputs:[P],outputs:[-1]})[0]):x=P;let u=x.dims,d=u[K-1],o=M/d,a=k6(d),j0=d/a,U0=64;o===1&&(U0=256);let _0=u0("x",x.dataType,x.dims,a),H0=h5("result",x.dataType,x.dims,a),Y0=_0.type.value,k0=N6(x.dataType)==="f32"?`var threadMax = ${Y0}(-3.402823e+38f);`:`var threadMax = ${Y0}(-65504.0h);`,D0=q.compute({name:"Softmax",shaderCache:{hint:`${a};${U0}`,inputDependencies:["type"]},getRunData:()=>({outputs:[{dims:u,dataType:x.dataType}],dispatchGroup:{x:o},programUniforms:[{type:6,data:j0}]}),getShaderSource:(b0)=>` + var rowMaxShared : ${Y0}; + var rowSumShared : ${Y0}; + var threadShared : array<${Y0}, ${U0}>; + + fn getValue(row: i32, col: i32, row_stride: i32) -> ${Y0} { + let index = row * row_stride + col; + return x[index]; + } + + fn setValue(row: i32, col: i32, row_stride: i32, value: ${Y0}) { + let index = row * row_stride + col; + result[index] = value; + } + ${b0.registerUniform("packedCols","i32").declareVariables(_0,H0)} + ${b0.mainStart(U0)} + let gindex = i32(global_idx); + let lindex = i32(local_idx); + const wg = ${U0}; + let row = gindex / wg; + let cols = uniforms.packedCols; + let row_stride : i32 = uniforms.packedCols; + + // find the rows max + ${k0} + for (var col = lindex; col < cols; col += wg) { + let value = getValue(row, col, row_stride); + threadMax = max(threadMax, value); + } + if (lindex < cols) { + threadShared[lindex] = threadMax; + } + workgroupBarrier(); + + var reduceSize = min(cols, wg); + for (var currSize = reduceSize >> 1; currSize > 0; currSize = reduceSize >> 1) { + reduceSize = currSize + (reduceSize & 1); + if (lindex < currSize) { + threadShared[lindex] = max(threadShared[lindex], threadShared[lindex + reduceSize]); + } + workgroupBarrier(); + } + if (lindex == 0) { + rowMaxShared = ${Y0}(${((m0,x5)=>x5===4?`max(max(${m0}.x, ${m0}.y), max(${m0}.z, ${m0}.w))`:x5===2?`max(${m0}.x, ${m0}.y)`:x5===3?`max(max(${m0}.x, ${m0}.y), ${m0}.z)`:m0)("threadShared[0]",a)}); + } + workgroupBarrier(); + + // find the rows sum + var threadSum = ${Y0}(0.0); + for (var col = lindex; col < cols; col += wg) { + let subExp = exp(getValue(row, col, row_stride) - rowMaxShared); + threadSum += subExp; + } + threadShared[lindex] = threadSum; + workgroupBarrier(); + + for (var currSize = wg >> 1; currSize > 0; currSize = currSize >> 1) { + if (lindex < currSize) { + threadShared[lindex] = threadShared[lindex] + threadShared[lindex + currSize]; + } + workgroupBarrier(); + } + if (lindex == 0) { + rowSumShared = ${Y0}(${B6("threadShared[0]",a)}); + } + workgroupBarrier(); + + // calculate final value for each element in the row + for (var col = lindex; col < cols; col += wg) { + let value = exp(getValue(row, col, row_stride) - rowMaxShared) / rowSumShared; + setValue(row, col, row_stride, value); + } + }`},{inputs:[x],outputs:[h?-1:0]})[0];h&&q.compute(A9(D0,m),{inputs:[D0]})},AO=(q,v)=>{mO(q.inputs),pO(q,v)},o4=(q)=>P6({axis:q.axis})}),_q=q0(()=>{q6(),X6(),T6(),k8=(q)=>Array.from(q.getBigInt64Array(),Number),gO=(q)=>{if(!q||q.length!==2)throw Error("Tile requires 2 inputs.");if(q[0].dataType!==1&&q[0].dataType!==10&&q[0].dataType!==6&&q[0].dataType!==12)throw Error("Tile only support float, float16, int32, and uint32 data types");if(q[1].dataType!==7)throw Error("Tile `repeats` input should be of int64 data type");if(q[1].dims.length!==1)throw Error("Tile `repeats` input should be 1-D");if(k8(q[1]).length!==q[0].dims.length)throw Error("Tile `repeats` input should have same number of elements as rank of input data tensor")},uO=(q,v)=>{let x=[];for(let P=0;P{let x=q[0].dims,P=v??k8(q[1]),F=uO(x,P),M=B0.size(F),K=q[0].dataType,C=u0("input",K,x.length),h=h5("output",K,F.length);return{name:"Tile",shaderCache:{hint:`${P}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:F,dataType:q[0].dataType}],dispatchGroup:{x:Math.ceil(M/64)},programUniforms:[{type:12,data:M},...C5(q[0].dims,F)]}),getShaderSource:(m)=>` + const inputShape = ${C.indices(...x)}; + ${m.registerUniform("output_size","u32").declareVariables(C,h)} + ${m.mainStart()} + ${m.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let output_indices = ${h.offsetToIndices("global_idx")}; + var input_indices: ${C.type.indices}; + for (var i = 0; i < ${x.length}; i++) { + let input_dim_i = ${C.indicesGet("uniforms.input_shape","i")}; + let input_dim_value = ${h.indicesGet("output_indices","i")} % input_dim_i; + + ${C.indicesSet("input_indices","i","input_dim_value")} + } + ${h.setByOffset("global_idx",C.getByIndices("input_indices"))} + }`}},lO=(q)=>{gO(q.inputs),q.compute(dO(q.inputs),{inputs:[0]})}}),Yq=q0(()=>{q6(),X6(),T6(),oO=(q,v,x,P,F)=>{let M,K=h5("output_data",F,x.length,4),C=u0("a_data",v[1].dataType,v[1].dims.length,4),h=u0("b_data",v[2].dataType,v[2].dims.length,4),m=u0("c_data",v[0].dataType,v[0].dims.length,4),u=(d,o,a)=>`select(${o}, ${d}, ${a})`;if(P){let d=(o,a,j0="")=>{let U0=`a_data[index_a${a}][component_a${a}]`,_0=`b_data[index_b${a}][component_b${a}]`,H0=`bool(c_data[index_c${a}] & (0xffu << (component_c${a} * 8)))`;return` + let output_indices${a} = ${K.offsetToIndices(`global_idx * 4u + ${a}u`)}; + let offset_a${a} = ${C.broadcastedIndicesToOffset(`output_indices${a}`,K)}; + let offset_b${a} = ${h.broadcastedIndicesToOffset(`output_indices${a}`,K)}; + let offset_c${a} = ${m.broadcastedIndicesToOffset(`output_indices${a}`,K)}; + let index_a${a} = offset_a${a} / 4u; + let index_b${a} = offset_b${a} / 4u; + let index_c${a} = offset_c${a} / 4u; + let component_a${a} = offset_a${a} % 4u; + let component_b${a} = offset_b${a} % 4u; + let component_c${a} = offset_c${a} % 4u; + ${o}[${a}] = ${j0}(${u(U0,_0,H0)}); + `};M=F===9?` + var data = vec4(0); + ${d("data",0,"u32")} + ${d("data",1,"u32")} + ${d("data",2,"u32")} + ${d("data",3,"u32")} + output_data[global_idx] = dot(vec4(0x1, 0x100, 0x10000, 0x1000000), vec4(data));`:` + ${d("output_data[global_idx]",0)} + ${d("output_data[global_idx]",1)} + ${d("output_data[global_idx]",2)} + ${d("output_data[global_idx]",3)} + `}else M=K.setByOffset("global_idx",u(C.getByOffset("global_idx"),h.getByOffset("global_idx"),m.getByOffset("global_idx")));return` + ${q.registerUniform("vec_size","u32").declareVariables(m,C,h,K)} + ${q.mainStart()} + ${q.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")} + ${M} + }`},sO=(q)=>{let v=q[1].dims,x=q[2].dims,P=q[0].dims,F=q[1].dataType,M=!(B0.areEqual(v,x)&&B0.areEqual(x,P)),K=v,C=B0.size(v);if(M){let m=p6.calcShape(p6.calcShape(v,x,!1),P,!1);if(!m)throw Error("Can't perform where op on the 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Map,this.attributesBound=!1}getArtifact(q){return this.repo.get(q)}setArtifact(q,v){this.repo.set(q,v)}run(q,v,x,P,F){v0(q.programInfo.name);let M=this.backend.device,K=this.backend.getComputePassEncoder();this.backend.writeTimestamp(2*this.backend.pendingDispatchNumber);let C=[];for(let m of v)C.push({binding:C.length,resource:{buffer:m.buffer}});for(let m of x)C.push({binding:C.length,resource:{buffer:m.buffer}});F&&C.push({binding:C.length,resource:F});let h=M.createBindGroup({layout:q.computePipeline.getBindGroupLayout(0),entries:C,label:q.programInfo.name});if(this.backend.sessionStatus==="capturing"){let m={kernelId:this.backend.currentKernelId,computePipeline:q.computePipeline,bindGroup:h,dispatchGroup:P};this.backend.capturedCommandList.get(this.backend.currentSessionId).push(m)}K.setPipeline(q.computePipeline),K.setBindGroup(0,h),K.dispatchWorkgroups(...P),this.backend.writeTimestamp(2*this.backend.pendingDispatchNumber+1),this.backend.pendingDispatchNumber++,(this.backend.pendingDispatchNumber>=this.backend.maxDispatchNumber||this.backend.queryType==="at-passes")&&this.backend.endComputePass(),this.backend.pendingDispatchNumber>=this.backend.maxDispatchNumber&&this.backend.flush(),$0(q.programInfo.name)}dispose(){}build(q,v){v0(q.name);let x=this.backend.device,P=[];[{feature:"shader-f16",extension:"f16"},{feature:"subgroups",extension:"subgroups"}].forEach((m)=>{x.features.has(m.feature)&&P.push(`enable ${m.extension};`)});let F=i2(v,this.backend.device.limits),M=q.getShaderSource(F),K=`${P.join(` +`)} +${F.additionalImplementations} 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This is not supported now.`)}if(m){let Y0=0,k0=[];m.forEach((x5)=>{let f5=typeof x5.data=="number"?[x5.data]:x5.data;if(f5.length===0)return;let c5,l5,G6=x5.type===10?2:4;x5.type===10?(l5=f5.length>4?16:f5.length>2?8:f5.length*G6,c5=f5.length>4?16:G6*f5.length):(l5=f5.length<=2?f5.length*G6:16,c5=16),Y0=Math.ceil(Y0/l5)*l5,k0.push(Y0);let y6=x5.type===10?8:4;Y0+=f5.length>4?Math.ceil(f5.length/y6)*c5:f5.length*G6});let D0=16;Y0=Math.ceil(Y0/D0)*D0;let b0=new ArrayBuffer(Y0);m.forEach((x5,f5)=>{let c5=k0[f5],l5=typeof x5.data=="number"?[x5.data]:x5.data;if(x5.type===6)new Int32Array(b0,c5,l5.length).set(l5);else if(x5.type===12)new Uint32Array(b0,c5,l5.length).set(l5);else if(x5.type===10)new Uint16Array(b0,c5,l5.length).set(l5);else{if(x5.type!==1)throw Error(`Unsupported uniform type: ${D9(x5.type)}`);new Float32Array(b0,c5,l5.length).set(l5)}});let m0=this.gpuDataManager.create(Y0,GPUBufferUsage.COPY_DST|GPUBufferUsage.UNIFORM);this.device.queue.writeBuffer(m0.buffer,0,b0,0,Y0),this.gpuDataManager.release(m0.id),d={offset:0,size:Y0,buffer:m0.buffer}}let j0=this.programManager.normalizeDispatchGroupSize(h),U0=j0[1]===1&&j0[2]===1,_0=aG(q,v,U0),H0=this.programManager.getArtifact(_0);if(H0||(H0=this.programManager.build(q,j0),this.programManager.setArtifact(_0,H0),L6("info",()=>`[artifact] key: ${_0}, programName: ${q.name}`)),m&&H0.uniformVariablesInfo){if(m.length!==H0.uniformVariablesInfo.length)throw Error(`Uniform variables count mismatch: expect ${H0.uniformVariablesInfo.length}, got ${m.length} in program "${H0.programInfo.name}".`);for(let Y0=0;Y0`[ProgramManager] run "${q.name}" (key=${_0}) with ${j0[0]}x${j0[1]}x${j0[2]}`),this.queryType!=="none"||this.sessionStatus==="capturing"){let Y0={kernelId:this.currentKernelId,programName:H0.programInfo.name,inputTensorViews:v,outputTensorViews:o};this.pendingKernels.push(Y0),this.sessionStatus==="capturing"&&this.capturedPendingKernels.get(this.currentSessionId).push(Y0)}return this.programManager.run(H0,K,a,j0,d),$0(q.name),o}upload(q,v){this.gpuDataManager.upload(q,v)}memcpy(q,v){this.gpuDataManager.memcpy(q,v)}async download(q,v){await this.gpuDataManager.download(q,v)}alloc(q){return this.gpuDataManager.create(q).id}free(q){return this.gpuDataManager.release(q)}createKernel(q,v,x,P){let F=aO.get(q);if(!F)throw Error(`kernel not implemented: ${q}`);let M={kernelType:q,kernelName:P,kernelEntry:F[0],attributes:[F[1],x]};this.kernels.set(v,M)}releaseKernel(q){let v=this.kernelPersistentData.get(q);if(v){for(let x of v)this.gpuDataManager.release(x.id);this.kernelPersistentData.delete(q)}this.kernelCustomData.delete(q),this.kernels.delete(q)}computeKernel(q,v,x){let P=this.kernels.get(q);if(!P)throw Error(`kernel not created: ${q}`);let{kernelType:F,kernelName:M,kernelEntry:K,attributes:C}=P;if(this.currentKernelId!==null)throw Error(`kernel "[${F}] ${M}" is not allowed to be called recursively`);this.currentKernelId=q,C[0]&&(C[1]=C[0](C[1]),C[0]=void 0),L6("info",()=>`[WebGPU] Start to run kernel "[${F}] ${M}"...`);let h=this.env.debug;this.temporaryData=[];try{return h&&this.device.pushErrorScope("validation"),K(v,C[1]),0}catch(m){return x.push(Promise.resolve(`[WebGPU] Kernel "[${F}] ${M}" failed. ${m}`)),1}finally{h&&x.push(this.device.popErrorScope().then((m)=>m?`GPU validation error for kernel "[${F}] ${M}": ${m.message}`:null));for(let m of this.temporaryData)this.gpuDataManager.release(m.id);this.temporaryData=[],this.currentKernelId=null}}registerBuffer(q,v,x,P){let F=this.sessionExternalDataMapping.get(q);F||(F=new Map,this.sessionExternalDataMapping.set(q,F));let M=F.get(v),K=this.gpuDataManager.registerExternalBuffer(x,P,M);return F.set(v,[K,x]),K}unregisterBuffers(q){let v=this.sessionExternalDataMapping.get(q);v&&(v.forEach((x)=>this.gpuDataManager.unregisterExternalBuffer(x[0])),this.sessionExternalDataMapping.delete(q))}getBuffer(q){let v=this.gpuDataManager.get(q);if(!v)throw Error(`no GPU data for buffer: ${q}`);return v.buffer}createDownloader(q,v,x){return async()=>{let P=await w9(this,q,v);return V1(P.buffer,x)}}writeTimestamp(q){this.queryType==="inside-passes"&&this.computePassEncoder.writeTimestamp(this.querySet,q)}setQueryType(){this.queryType="none",(this.env.webgpu.profiling?.mode==="default"||(typeof this.env.trace>"u"?this.env.wasm.trace:this.env.trace))&&(this.device.features.has("chromium-experimental-timestamp-query-inside-passes")?this.queryType="inside-passes":this.device.features.has("timestamp-query")&&(this.queryType="at-passes"),this.queryType!=="none"&&typeof this.querySet>"u"&&(this.querySet=this.device.createQuerySet({type:"timestamp",count:2*this.maxDispatchNumber}),this.queryResolveBuffer=this.device.createBuffer({size:2*this.maxDispatchNumber*8,usage:GPUBufferUsage.COPY_SRC|GPUBufferUsage.QUERY_RESOLVE})))}captureBegin(){L6("info","captureBegin"),this.capturedCommandList.get(this.currentSessionId)||this.capturedCommandList.set(this.currentSessionId,[]),this.capturedPendingKernels.get(this.currentSessionId)||this.capturedPendingKernels.set(this.currentSessionId,[]),this.flush(),this.sessionStatus="capturing"}captureEnd(){L6("info","captureEnd"),this.flush(),this.sessionStatus="default"}replay(){L6("info","replay"),this.sessionStatus="replaying";let q=this.capturedCommandList.get(this.currentSessionId),v=this.capturedPendingKernels.get(this.currentSessionId),x=q.length;this.pendingKernels=[];for(let P=0;P=this.maxDispatchNumber||this.queryType==="at-passes")&&this.endComputePass(),this.pendingDispatchNumber>=this.maxDispatchNumber&&this.flush()}this.flush(),this.sessionStatus="default"}onCreateSession(){this.gpuDataManager.onCreateSession()}onReleaseSession(q){this.unregisterBuffers(q),this.capturedCommandList.has(q)&&this.capturedCommandList.delete(q),this.capturedPendingKernels.has(q)&&this.capturedPendingKernels.delete(q),this.gpuDataManager.onReleaseSession(q)}onRunStart(q){this.currentSessionId=q,this.setQueryType()}}}),tG={};p0(tG,{init:()=>$Z});var w8,eG,$Z,jZ,OG,GG,R3,OZ,ZG,E8,qG,VG,NG,JG,vG,RG,U3,Z2,H6,S4,F9,W9,d9,L2,$4,H3,UG,c,L0,K0,C0,o0,G5,X5,K5,u5,a5,m5=q0(()=>{q6(),B1(),X6(),hG(),w8=class q{constructor(v,x,P,F){this.module=v,this.dataType=x,this.data=P,this.dims=F}getFloat32Array(){if(this.dataType!==1)throw Error("Invalid data type");let v=B0.size(this.dims);return v===0?new Float32Array:new Float32Array(this.module.HEAP8.buffer,this.data,v)}getBigInt64Array(){if(this.dataType!==7)throw Error("Invalid data type");let v=B0.size(this.dims);return v===0?new BigInt64Array:new BigInt64Array(this.module.HEAP8.buffer,this.data,v)}getInt32Array(){if(this.dataType!==6)throw Error("Invalid data type");let v=B0.size(this.dims);return v===0?new Int32Array:new Int32Array(this.module.HEAP8.buffer,this.data,v)}getUint16Array(){if(this.dataType!==10&&this.dataType!==4)throw Error("Invalid data type");let v=B0.size(this.dims);return v===0?new Uint16Array:new Uint16Array(this.module.HEAP8.buffer,this.data,v)}reshape(v){if(B0.size(v)!==B0.size(this.dims))throw Error("Invalid new shape");return new q(this.module,this.dataType,this.data,v)}},eG=class{constructor(q,v,x){this.module=q,this.backend=v,this.customDataOffset=0,this.customDataSize=0,this.adapterInfo=v.adapterInfo;let P=q.PTR_SIZE,F=x/q.PTR_SIZE,M=P===4?"i32":"i64";this.opKernelContext=Number(q.getValue(P*F++,M));let K=Number(q.getValue(P*F++,M));this.outputCount=Number(q.getValue(P*F++,M)),this.customDataOffset=Number(q.getValue(P*F++,"*")),this.customDataSize=Number(q.getValue(P*F++,M));let C=[];for(let h=0;htypeof F=="number"?this.inputs[F]:F)??this.inputs,P=v?.outputs??[];return this.backend.run(q,x,P,(F,M,K)=>new w8(this.module,M,this.output(F,K),K),(F,M)=>{let K=p9(F,M);if(!K)throw Error(`Unsupported data type: ${F}`);let C=K>0?this.backend.gpuDataManager.create(K).id:0;return new w8(this.module,F,C,M)},this.outputCount)}output(q,v){let x=this.module.stackSave();try{let P=this.module.PTR_SIZE,F=P===4?"i32":"i64",M=this.module.stackAlloc((1+v.length)*P);this.module.setValue(M,v.length,F);for(let K=0;K{let F=v.jsepInit;if(!F)throw Error("Failed to initialize JSEP. 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workgroup_id_y * ${S}u + local_id.x; + let input_row = workgroup_id_x * ${S}u + local_id.y; + if (input_row < uniforms.a_shape[0] && input_col < uniforms.a_shape[1]) { + tile[local_id.y][local_id.x] = ${D.getByIndices(`${D.type.indices}(input_row, input_col)`)}; + } + workgroupBarrier(); + + let output_col = workgroup_id_x * ${S}u + local_id.x; + let output_row = workgroup_id_y * ${S}u + local_id.y; + if (output_row < uniforms.output_shape[0] && output_col < uniforms.output_shape[1]) { + ${I.setByIndices(`${I.type.indices}(output_row, output_col)`,"tile[local_id.x][local_id.y]")} + } + }`},{name:"TransposeShared",shaderCache:{inputDependencies:["type"]},getRunData:()=>{let X=l0.size(N);return{outputs:[{dims:N,dataType:$.dataType}],dispatchGroup:{x:Math.ceil(R[1]/S),y:Math.ceil(R[0]/S)},programUniforms:[{type:12,data:X},...j6(J,R)]}},getShaderSource:O}}return O=(S)=>{let X=O5("a",G,J.length),D=t5("output",G,R.length);return` + ${S.registerUniform("output_size","u32").declareVariables(X,D)} + + ${M_(V,Z,X,D)} + + ${S.mainStart()} + ${S.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + + let indices = ${D.offsetToIndices("global_idx")}; + let aIndices = perm(indices); + + ${D.setByOffset("global_idx",X.getByIndices("aIndices"))} + }`},{name:"Transpose",shaderCache:{hint:`${j}`,inputDependencies:["rank"]},getRunData:()=>{let S=l0.size(N);return{outputs:[{dims:N,dataType:$.dataType}],dispatchGroup:{x:Math.ceil(S/64)},programUniforms:[{type:12,data:S},...j6(J,R)]}},getShaderSource:O}},ry=($,j)=>{D_($.inputs,j.perm),$.compute(X2($.inputs[0],j.perm))},ny=($)=>j9({perm:$.perm})}),DM=I5(()=>{Y6(),D6(),M6(),_R(),v7(),f_={max:"select(bestValue, candidate, candidate > bestValue)",min:"select(bestValue, candidate, candidate < bestValue)",mean:"bestValue + candidate",sum:"bestValue + candidate",prod:"bestValue * candidate",sumSquare:"bestValue + candidate * candidate",logSumExp:"bestValue + 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DIV_CEIL(reduceSize, 2u); + if (local_idx < currentSize) { + let candidate = aBestValues[local_idx + interval]; + bestValue = ${w_[G]}; + aBestValues[local_idx] = bestValue; + } + reduceSize = interval; + workgroupBarrier(); + } + + if (local_idx == 0u) { + ${L.setByOffset("outputIndex",G==="mean"?`${L.type.storage}(bestValue / f32(uniforms.reduceSize))`:`${L.type.storage}(${Q_[G]})`)}; + } + }`,getRunData:()=>({outputs:[{dims:V,dataType:Z}],dispatchGroup:{x:R},programUniforms:[{type:12,data:U}]})}},F3=($,j,O,G)=>{let Z=$.inputs.length===1?O:Lv($.inputs,O),V=Z.axes;V.length===0&&!Z.noopWithEmptyAxes&&(V=$.inputs[0].dims.map((S,X)=>X));let 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max/min + ${w[1]} + ${T} + ${w[3]} + ${w.length===4?z.setByOffset("global_idx","value"):w.slice(4).join(` +`)} + }`},getRunData:()=>({outputs:[{dims:R,dataType:V}],dispatchGroup:{x:Math.ceil(X/64)},programUniforms:[{type:12,data:X},...j6(U,R)]})}},Lv=($,j)=>{let O=[];return $[1].dims[0]>0&&$[1].getBigInt64Array().forEach((G)=>O.push(Number(G))),j9({axes:O,keepDims:j.keepDims,noopWithEmptyAxes:j.noopWithEmptyAxes})},z3=($,j,O,G)=>{let Z=$.inputs,V=Z.length===1?O:Lv(Z,O);$.compute(_V(j,{hint:V.cacheKey,inputDependencies:["rank"]},[Z[0]],V.noopWithEmptyAxes&&V.axes.length===0?A_:G,V.axes,Z[0].dataType,V.keepDims,V.noopWithEmptyAxes),{inputs:[0]})},g_=($,j)=>{y3($.inputs),z3($,"ReduceLogSum",j,(O,G)=>[`var value = ${G.type.storage}(0);`,"",`value += ${O.getByIndices("input_indices")};`,"value = log(value);"])},u_=($,j)=>{y3($.inputs),z3($,"ReduceL1",j,(O,G)=>[`var value = ${G.type.storage}(0);`,"",`value += 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bool = is_subsequent_prompt == false && sequence_length == total_sequence_length_input; + total_sequence_length = u32(${$?.getByOffset("batchIdx")}) + 1; + var past_sequence_length: u32 = 0; + if (is_first_prompt == false) { + past_sequence_length = total_sequence_length - sequence_length; + } + `:` + ${O?"let past_sequence_length = uniforms.past_sequence_length":""}; + let present_sequence_length = total_sequence_length; + `,e_=($,j,O,G,Z,V,N,J)=>{let R=K9(N?1:V),U=64,H=V/R;H{let k=t5("x",$.dataType,$.dims,R),z=[k],w=N?O5("seq_lens",N.dataType,N.dims):void 0;w&&z.push(w);let T=J?O5("total_sequence_length_input",J.dataType,J.dims):void 0;T&&z.push(T);let W=k1($.dataType);return` + var thread_max: array; + var thread_sum: array; + ${I.registerUniforms([{name:"batch_size",type:"u32"},{name:"num_heads",type:"u32"},{name:"past_sequence_length",type:"u32"},{name:"sequence_length",type:"u32"},{name:"total_sequence_length",type:"u32"},{name:"elements_per_thread",type:"u32"}]).declareVariables(...z)} + ${I.mainStart([U,1,1])} + let batchIdx = workgroup_id.z / uniforms.num_heads; + let headIdx = workgroup_id.z % uniforms.num_heads; + let sequence_length = uniforms.sequence_length; + var total_sequence_length = uniforms.total_sequence_length; + ${lq(w,T,!1)} + let local_offset = local_idx * uniforms.elements_per_thread; + let offset = (global_idx / ${U}) * uniforms.total_sequence_length + local_offset; + let seq_causal_length = ${N?"u32(past_sequence_length + workgroup_id.y + 1)":"total_sequence_length"}; + var thread_max_vector = ${X}(-3.402823e+38f); + for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) { + thread_max_vector = max(${X}(x[offset + i]), thread_max_vector); + } + thread_max[local_idx] = ${(()=>{switch(R){case 1:return"thread_max_vector";case 2:return"max(thread_max_vector.x, thread_max_vector.y)";case 4:return"max(max(thread_max_vector.x, thread_max_vector.y), max(thread_max_vector.z, thread_max_vector.w))";default:throw Error(`Unsupported components: ${R}`)}})()}; + workgroupBarrier(); + + var max_value = f32(-3.402823e+38f); + for (var i = 0u; i < ${U}; i++) { + max_value = max(thread_max[i], max_value); + } + + var sum_vector = ${X}(0); + for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) { + sum_vector += exp(${X}(x[offset + i]) - max_value); + } + thread_sum[local_idx] = ${(()=>{switch(R){case 1:return"sum_vector";case 2:return"sum_vector.x + sum_vector.y";case 4:return"sum_vector.x + sum_vector.y + sum_vector.z + sum_vector.w";default:throw Error(`Unsupported components: ${R}`)}})()}; + workgroupBarrier(); + + var sum: f32 = 0; + for (var i = 0u; i < ${U}; i++) { + sum += thread_sum[i]; + } + + if (sum == 0) { + for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) { + x[offset + i] = ${k.type.value}(${W}(1.0) / ${W}(seq_causal_length)); + } + } else { + for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) { + var f32input = ${X}(x[offset + i]); + x[offset + i] = ${k.type.value}(exp(f32input - max_value) / sum); + } + } + ${N?` + for (var total_seq_id: u32 = seq_causal_length; total_seq_id + local_offset < uniforms.total_sequence_length; total_seq_id++) { + x[offset + total_seq_id] = ${k.type.value}(${W}(0)); + }`:""}; + }`},getRunData:()=>({outputs:[],dispatchGroup:{x:1,y:Z,z:j*O},programUniforms:Y})}},$Y=($,j,O,G,Z,V,N,J,R)=>{let U=N+V.kvSequenceLength,H=[V.batchSize,V.numHeads,V.sequenceLength,U],L=$>1&&G,Y=V.kvNumHeads?V.kvNumHeads:V.numHeads,S=L?[V.batchSize,Y,U,V.headSize]:void 0,X=V.nReps?V.nReps:1,D=V.scale===0?1/Math.sqrt(V.headSize):V.scale,I=K9(V.headSize),k=V.headSize/I,z=12,w={x:Math.ceil(U/z),y:Math.ceil(V.sequenceLength/z),z:V.batchSize*V.numHeads},T=[{type:12,data:V.sequenceLength},{type:12,data:k},{type:12,data:U},{type:12,data:V.numHeads},{type:12,data:V.headSize},{type:1,data:D},{type:12,data:N},{type:12,data:V.kvSequenceLength},{type:12,data:X}],W=L&&G&&l0.size(G.dims)>0,E=["type","type"];W&&E.push("type"),Z&&E.push("type"),J&&E.push("type"),R&&E.push("type");let Q=[{dims:H,dataType:j.dataType,gpuDataType:0}];return L&&Q.push({dims:S,dataType:j.dataType,gpuDataType:0}),{name:"AttentionProbs",shaderCache:{hint:`${I};${Z!==void 0};${G!==void 0};${$}`,inputDependencies:E},getRunData:()=>({outputs:Q,dispatchGroup:w,programUniforms:T}),getShaderSource:(A)=>{let l=O5("q",j.dataType,j.dims,I),r=[l,O5("key",O.dataType,O.dims,I)];if(W){let G0=O5("past_key",G.dataType,G.dims,I);r.push(G0)}Z&&r.push(O5("attention_bias",Z.dataType,Z.dims));let e=J?O5("seq_lens",J.dataType,J.dims):void 0;e&&r.push(e);let V0=R?O5("total_sequence_length_input",R.dataType,R.dims):void 0;V0&&r.push(V0);let v0=t5("output",j.dataType,H),$0=[v0];L&&$0.push(t5("present_key",j.dataType,S,I));let i=k1(1,I);return` + const TILE_SIZE = 12u; + + var tileQ: array<${l.type.storage}, 144>; + var tileK: array<${l.type.storage}, 144>; + ${A.registerUniforms([{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"alpha",type:"f32"},{name:"past_sequence_length",type:"u32"},{name:"kv_sequence_length",type:"u32"},{name:"n_reps",type:"u32"}]).declareVariables(...r,...$0)} + ${A.mainStart([z,z,1])} + // x holds the N and y holds the M + let headIdx = workgroup_id.z % uniforms.num_heads; + let kvHeadIdx = ${X===1?"headIdx":"headIdx / uniforms.n_reps"}; + let kv_num_heads = ${X===1?"uniforms.num_heads":"uniforms.num_heads / uniforms.n_reps"}; + let batchIdx = workgroup_id.z / uniforms.num_heads; + let m = workgroup_id.y * TILE_SIZE; + let n = workgroup_id.x * TILE_SIZE; + let sequence_length = uniforms.M; + var total_sequence_length = uniforms.N; + ${lq(e,V0,!0)} + let absKvHeadIdx = batchIdx * kv_num_heads + kvHeadIdx; + let qOffset = workgroup_id.z * uniforms.M * uniforms.K + m * uniforms.K; + ${W&&L?"let pastKeyOffset = absKvHeadIdx * uniforms.past_sequence_length * uniforms.K;":""}; + let kOffset = absKvHeadIdx * uniforms.kv_sequence_length * uniforms.K; + ${L?"let presentKeyOffset = absKvHeadIdx * uniforms.N * uniforms.K;":""} + var value = ${i}(0); + for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) { + if (global_id.y < uniforms.M && w + local_id.x < uniforms.K) { + tileQ[TILE_SIZE * local_id.y + local_id.x] = q[qOffset + local_id.y * uniforms.K + w + local_id.x]; + } + if (n + local_id.y < uniforms.N && w + local_id.x < uniforms.K) { + var idx = TILE_SIZE * local_id.y + local_id.x; + ${W&&L?` + if (n + local_id.y < past_sequence_length) { + tileK[idx] = past_key[pastKeyOffset + (n + local_id.y) * uniforms.K + w + local_id.x]; + } else if (n + local_id.y - past_sequence_length < uniforms.kv_sequence_length) { + tileK[idx] = key[kOffset + (n + local_id.y - past_sequence_length) * uniforms.K + w + local_id.x]; + }`:` + if (n + local_id.y < uniforms.kv_sequence_length) { + tileK[idx] = key[kOffset + (n + local_id.y) * uniforms.K + w + local_id.x]; + }`} + ${L?`if (n + local_id.y < present_sequence_length) { + present_key[presentKeyOffset + (n + local_id.y) * uniforms.K + w + local_id.x] = tileK[idx]; + }`:""} + } + workgroupBarrier(); + + for (var k: u32 = 0u; k < TILE_SIZE && w+k < uniforms.K; k++) { + value += ${i}(tileQ[TILE_SIZE * local_id.y + k] * tileK[TILE_SIZE * local_id.x + k]); + } + + workgroupBarrier(); + } + + if (global_id.y < uniforms.M && global_id.x < total_sequence_length) { + let headOffset = workgroup_id.z * uniforms.M * uniforms.N; + let outputIdx = headOffset + global_id.y * uniforms.N + global_id.x; + var sum: f32 = ${(()=>{switch(I){case 1:return"value";case 2:return"value.x + value.y";case 4:return"value.x + value.y + value.z + value.w";default:throw Error(`Unsupported components: ${I}`)}})()}; + output[outputIdx] = ${v0.type.value} (sum * uniforms.alpha) + ${Z?"attention_bias[outputIdx]":"0.0"}; + } + }`}}},jY=($,j,O,G,Z,V,N=void 0,J=void 0)=>{let R=V+Z.kvSequenceLength,U=Z.nReps?Z.nReps:1,H=Z.vHiddenSize*U,L=$>1&&G,Y=Z.kvNumHeads?Z.kvNumHeads:Z.numHeads,S=L?[Z.batchSize,Y,R,Z.headSize]:void 0,X=[Z.batchSize,Z.sequenceLength,H],D=12,I={x:Math.ceil(Z.vHeadSize/D),y:Math.ceil(Z.sequenceLength/D),z:Z.batchSize*Z.numHeads},k=[{type:12,data:Z.sequenceLength},{type:12,data:R},{type:12,data:Z.vHeadSize},{type:12,data:Z.numHeads},{type:12,data:Z.headSize},{type:12,data:H},{type:12,data:V},{type:12,data:Z.kvSequenceLength},{type:12,data:U}],z=L&&G&&l0.size(G.dims)>0,w=["type","type"];z&&w.push("type"),N&&w.push("type"),J&&w.push("type");let T=[{dims:X,dataType:j.dataType,gpuDataType:0}];return L&&T.push({dims:S,dataType:j.dataType,gpuDataType:0}),{name:"AttentionScore",shaderCache:{hint:`${G!==void 0};${$}`,inputDependencies:w},getRunData:()=>({outputs:T,dispatchGroup:I,programUniforms:k}),getShaderSource:(W)=>{let E=O5("probs",j.dataType,j.dims),Q=[E,O5("v",O.dataType,O.dims)];z&&Q.push(O5("past_value",G.dataType,G.dims));let A=N?O5("seq_lens",N.dataType,N.dims):void 0;N&&Q.push(A);let l=J?O5("total_sequence_length_input",J.dataType,J.dims):void 0;J&&Q.push(l);let r=[t5("output",j.dataType,X)];return L&&r.push(t5("present_value",j.dataType,S)),` + const TILE_SIZE = 12u; + var tileQ: array<${E.type.value}, 144>; + var tileV: array<${E.type.value}, 144>; + ${W.registerUniforms([{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"v_hidden_size",type:"u32"},{name:"past_sequence_length",type:"u32"},{name:"kv_sequence_length",type:"u32"},{name:"n_reps",type:"u32"}]).declareVariables(...Q,...r)} + ${W.mainStart([D,D,1])} + let headIdx = workgroup_id.z % uniforms.num_heads; + let batchIdx = workgroup_id.z / uniforms.num_heads; + let kvHeadIdx = ${U===1?"headIdx":"headIdx / uniforms.n_reps"}; + let kv_num_heads = ${U===1?"uniforms.num_heads":"uniforms.num_heads / uniforms.n_reps"}; + let m = global_id.y; + let n = global_id.x; + let sequence_length = uniforms.M; + var total_sequence_length = uniforms.K; + ${lq(A,l,!0)} + let offsetA = workgroup_id.z * uniforms.M * uniforms.K + m * uniforms.K; + let absKvHeadIdx = batchIdx * kv_num_heads + kvHeadIdx; // kvHeadIdx is relative to the batch + ${z&&L?"let pastValueOffset = absKvHeadIdx * uniforms.N * uniforms.past_sequence_length + n;":""}; + let vOffset = absKvHeadIdx * uniforms.N * uniforms.kv_sequence_length + n; + ${L?"let presentValueOffset = absKvHeadIdx * uniforms.N * uniforms.K + n;":""} + var value = ${E.type.storage}(0); + for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) { + if (m < uniforms.M && w + local_id.x < uniforms.K) { + tileQ[TILE_SIZE * local_id.y + local_id.x] = probs[offsetA + w + local_id.x]; + } + if (n < uniforms.N && w + local_id.y < uniforms.K) { + var idx = TILE_SIZE * local_id.y + local_id.x; + ${z&&L?` + if (w + local_id.y < past_sequence_length) { + tileV[idx] = past_value[pastValueOffset + (w + local_id.y) * uniforms.N]; + } else if (w + local_id.y - past_sequence_length < uniforms.kv_sequence_length) { + tileV[idx] = v[vOffset + (w + local_id.y - past_sequence_length) * uniforms.N]; + } + `:` + if (w + local_id.y < uniforms.kv_sequence_length) { + tileV[idx] = v[vOffset + (w + local_id.y) * uniforms.N]; + }`} + ${L?` + if (w + local_id.y < present_sequence_length) { + present_value[presentValueOffset + (w + local_id.y) * uniforms.N] = tileV[idx]; + }`:""} + } + workgroupBarrier(); + for (var k: u32 = 0u; k < TILE_SIZE && w+k < total_sequence_length; k++) { + value += tileQ[TILE_SIZE * local_id.y + k] * tileV[TILE_SIZE * k + local_id.x]; + } + workgroupBarrier(); + } + + // we need to transpose output from BNSH_v to BSND_v + if (m < uniforms.M && n < uniforms.N) { + let outputIdx = batchIdx * uniforms.M * uniforms.v_hidden_size + m * uniforms.v_hidden_size + + headIdx * uniforms.N + n; + output[outputIdx] = value; + } + }`}}},gZ=($,j,O,G,Z,V,N,J,R,U,H=void 0,L=void 0)=>{let Y=Math.min($.outputCount,1+(N?1:0)+(J?1:0)),S=Y>1?U.pastSequenceLength:0,X=S+U.kvSequenceLength,D=R&&l0.size(R.dims)>0?R:void 0,I=[j,O];Y>1&&N&&l0.size(N.dims)>0&&I.push(N),D&&I.push(D),H&&I.push(H),L&&I.push(L);let k=$.compute($Y(Y,j,O,N,D,U,S,H,L),{inputs:I,outputs:Y>1?[-1,1]:[-1]})[0];$.compute(e_(k,U.batchSize,U.numHeads,S,U.sequenceLength,X,H,L),{inputs:H&&L?[k,H,L]:[k],outputs:[]});let z=[k,G];Y>1&&J&&l0.size(J.dims)>0&&z.push(J),H&&z.push(H),L&&z.push(L),$.compute(jY(Y,k,G,J,U,S,H,L),{inputs:z,outputs:Y>1?[0,2]:[0]})},OY=($,j)=>{let O=[j.batchSize,j.numHeads,j.sequenceLength,j.headSize],G=j.sequenceLength,Z=j.inputHiddenSize,V=j.headSize,N=12,J={x:Math.ceil(j.headSize/N),y:Math.ceil(j.sequenceLength/N),z:j.batchSize*j.numHeads},R=[$.inputs[0],$.inputs[1],$.inputs[2]],U=[{type:12,data:G},{type:12,data:Z},{type:12,data:V},{type:12,data:j.numHeads},{type:12,data:j.headSize},{type:12,data:j.hiddenSize},{type:12,data:j.hiddenSize+j.hiddenSize+j.vHiddenSize}];return $.compute({name:"AttentionPrepare",shaderCache:{inputDependencies:["type","type","type"]},getRunData:()=>({outputs:[{dims:O,dataType:$.inputs[0].dataType,gpuDataType:0},{dims:O,dataType:$.inputs[0].dataType,gpuDataType:0},{dims:O,dataType:$.inputs[0].dataType,gpuDataType:0}],dispatchGroup:J,programUniforms:U}),getShaderSource:(H)=>{let L=t5("output_q",R[0].dataType,O),Y=t5("output_k",R[0].dataType,O),S=t5("output_v",R[0].dataType,O),X=O5("input",R[0].dataType,R[0].dims),D=O5("weight",R[1].dataType,R[1].dims),I=O5("bias",R[2].dataType,R[2].dims),k=X.type.storage;return` + const TILE_SIZE = 12u; + var tileInput: array<${k}, 144>; + var tileWeightQ: array<${k}, 144>; + var tileWeightK: array<${k}, 144>; + var tileWeightV: array<${k}, 144>; + ${H.registerUniforms([{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"hidden_size",type:"u32"},{name:"ldb",type:"u32"}]).declareVariables(X,D,I,L,Y,S)} + ${H.mainStart([N,N,1])} + let batchIndex = workgroup_id.z / uniforms.num_heads; + let headNumber = workgroup_id.z % uniforms.num_heads; + let m = global_id.y; + let n = global_id.x; + + let inputOffset = batchIndex * (uniforms.M * uniforms.K) + m * uniforms.K; + let biasOffsetQ = headNumber * uniforms.head_size; + let biasOffsetK = uniforms.hidden_size + biasOffsetQ; + let biasOffsetV = uniforms.hidden_size + biasOffsetK; + + var valueQ = ${k}(0); + var valueK = ${k}(0); + var valueV = ${k}(0); + for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) { + if (m < uniforms.M && w + local_id.x < uniforms.K) { + tileInput[TILE_SIZE * local_id.y + local_id.x] = input[inputOffset + w + local_id.x]; + } + if (n < uniforms.N && w + local_id.y < uniforms.K) { + let offset = n + (w + local_id.y) * uniforms.ldb; + tileWeightQ[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetQ + offset]; + tileWeightK[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetK + offset]; + tileWeightV[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetV + offset]; + } + workgroupBarrier(); + for (var k: u32 = 0u; k{let O=t_($.inputs,j),[G,Z,V]=OY($,O);return gZ($,G,Z,V,$.inputs[4],void 0,void 0,void 0,$.inputs[5],O)}}),MM=I5(()=>{Q3(),Y6(),D6(),B9(),M6(),GY=($,j)=>{if(!$||$.length!==5)throw Error("BatchNormalization requires 5 inputs");let O=(G,Z,V)=>{let N=Z.length;if(N!==G.length)throw Error(`${V}: num dimensions != ${N}`);Z.forEach((J,R)=>{if(J!==G[R])throw Error(`${V}: dim[${R}] do not match`)})};if($[0].dims.length>1){let G=j.format==="NHWC"?j.spatial?$[0].dims.slice(-1):$[0].dims.slice(-1).concat($[0].dims.slice(1,$[0].dims.length-1)):$[0].dims.slice(1,j.spatial?2:void 0);O($[1].dims,G,"Invalid input scale"),O($[2].dims,G,"Invalid input B"),O($[3].dims,G,"Invalid input mean"),O($[4].dims,G,"Invalid input var")}else O($[1].dims,[1],"Invalid input scale"),O($[2].dims,[1],"Invalid input B"),O($[3].dims,[1],"Invalid input mean"),O($[4].dims,[1],"Invalid input var")},ZY=($,j)=>{let{epsilon:O,spatial:G,format:Z}=j,V=$[0].dims,N=G?K9(V[V.length-1]):1,J=Z==="NHWC"&&V.length>1?N:1,R=l0.size(V)/N,U=G,H=U?V.length:V,L=O5("x",$[0].dataType,$[0].dims,N),Y=O5("scale",$[1].dataType,$[1].dims,J),S=O5("bias",$[2].dataType,$[2].dims,J),X=O5("inputMean",$[3].dataType,$[3].dims,J),D=O5("inputVar",$[4].dataType,$[4].dims,J),I=t5("y",$[0].dataType,H,N);return{name:"BatchNormalization",shaderCache:{hint:`${j.epsilon}_${j.format}_${G}_${N}`,inputDependencies:U?["rank","type","type","type","type"]:void 0},getShaderSource:(k)=>` + const epsilon = ${O}; + ${k.registerUniform("outputSize","u32").declareVariables(L,Y,S,X,D,I)} + ${k.mainStart()} + ${k.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + var outputIndices = ${I.offsetToIndices(`global_idx * ${N}`)}; + ${(()=>{let z="";if(G)z=`let cOffset = ${V.length===1?"0u":Z==="NHWC"?`outputIndices[${V.length-1}] / ${N}`:"outputIndices[1]"};`;else if(Z==="NCHW")z=` + 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offsetA${T} % 4u; + let componentB${T} = offsetB${T} % 4u; + ${w}[${T}] = ${W}(${Y(E,Q)}); + `};X=H===9?` + var data = vec4(0); + ${z("data",0,"u32")} + ${z("data",1,"u32")} + ${z("data",2,"u32")} + ${z("data",3,"u32")} + outputData[global_idx] = dot(vec4(0x1, 0x100, 0x10000, 0x1000000), vec4(data));`:` + ${z("outputData[global_idx]",0)} + ${z("outputData[global_idx]",1)} + ${z("outputData[global_idx]",2)} + ${z("outputData[global_idx]",3)} + `}return` + ${$.registerUniform("vec_size","u32").declareVariables(I,k,D)} + + ${L??""} + + ${$.mainStart()} + ${$.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")} + ${X} + }`},_Y=($,j,O,G,Z,V,N=O.dataType)=>{let J=O.dims.map((D)=>Number(D)??1),R=G.dims.map((D)=>Number(D)??1),U=!l0.areEqual(J,R),H=J,L=l0.size(J),Y=!1,S=!1,X=[U];if(U){let D=IG.calcShape(J,R,!1);if(!D)throw Error("Can't perform binary op on the given tensors");H=D.slice(),L=l0.size(H);let 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${j}(1.0); + } else if (a < ${j}(0.0) && f32(b) != floor(f32(b))) { + return ${j}(pow(f32(a), f32(b))); // NaN + } + return select(sign(a), ${j}(1.0), round(f32(abs(b) % ${j}(2.0))) != 1.0) * ${j}(${j==="i32"?"round":""}(pow(f32(abs(a)), f32(b)))); + } + fn pow_vector_custom(a : vec4<${j}>, b : vec4<${j}>) -> vec4<${j}> { + // TODO: implement vectorized pow + return vec4<${j}>(pow_custom(a.x, b.x), pow_custom(a.y, b.y), pow_custom(a.z, b.z), pow_custom(a.w, b.w)); + } + `)},Rk=($)=>{I3($,"Sub",(j,O)=>`${j}-${O}`)},Uk=($)=>{I3($,"Greater",{scalar:(j,O)=>`u32(${j}>${O})`,vector:(j,O)=>`vec4(${j}>${O})`},void 0,void 0,9)},Hk=($)=>{I3($,"Less",{scalar:(j,O)=>`u32(${j}<${O})`,vector:(j,O)=>`vec4(${j}<${O})`},void 0,void 0,9)},xk=($)=>{I3($,"GreaterOrEqual",{scalar:(j,O)=>`u32(${j}>=${O})`,vector:(j,O)=>`vec4(${j}>=${O})`},void 0,void 0,9)},Lk=($)=>{I3($,"LessOrEqual",{scalar:(j,O)=>`u32(${j}<=${O})`,vector:(j,O)=>`vec4(${j}<=${O})`},void 0,void 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V=G.slice();V[Z]=O.reduce((J,R)=>J+(R.dims.length>Z?R.dims[Z]:0),0);let N=O.filter((J)=>l0.size(J.dims)>0);$.compute(XY(N,Z,V,O[0].dataType),{inputs:N})},Yk=($)=>j9({axis:$.axis})}),Z$=I5(()=>{Y6(),D6(),t8=($,j,O="f32")=>{switch($.activation){case"Relu":return`value = max(value, ${j}(0.0));`;case"Sigmoid":return`value = (${j}(1.0) / (${j}(1.0) + exp(-value)));`;case"Clip":return`value = clamp(value, ${j}(${O}(uniforms.clip_min)), ${j}(${O}(uniforms.clip_max)));`;case"HardSigmoid":return`value = max(${j}(0.0), min(${j}(1.0), ${O}(uniforms.alpha) * value + ${O}(uniforms.beta)));`;case"LeakyRelu":return`value = select(${O}(uniforms.alpha) * value, value, value >= ${j}(0.0));`;case"Tanh":return`let e2x = exp(-2.0 * abs(value)); + value = sign(value) * (1.0 - e2x) / (1.0 + e2x); + `;case"":return"";default:throw Error(`Unsupported activation 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not supported.`)}},Sk=($)=>` + ${$?"value = value + getBiasByOutputCoords(coords);":""} + `}),EM=I5(()=>{Pk=($)=>` +fn getIndexFromCoords4D(coords : vec4, shape : vec4) -> i32 { + return dot(coords, vec4( + shape.y * shape.z * shape.w, shape.z * shape.w, shape.w, 1)); +} +fn getOutputIndexFromCoords(coords : vec4) -> i32 { + return dot(coords, vec4( + i32(${$}.x), i32(${$}.y), i32(${$}.z), 1)); +} +`}),XR=I5(()=>{Y6(),D6(),M6(),Z$(),BZ=($,j,O,G,Z)=>{let V=G-O;return` + ${Array.from({length:O}).map((N,J)=>` + if (${R6(j.shape,J,j.rank)} != 1) { + ${j.indicesSet($,J,R6(Z,J+V,G))} + } else { + ${j.indicesSet($,J,0)} + }`).join("")} +`},UR=($,j,O,G,Z=!1,V)=>{let N=$[0].dims,J=$[1].dims,R=N[N.length-2],U=J[J.length-1],H=N[N.length-1],L=K9(U),Y=K9(H),S=K9(R),X=l0.size(O)/L/S,D=$.length>2,I=G?G.slice(0,-2):O.slice(0,-2),k=[l0.size(I),R,U],z=[{type:12,data:X},{type:12,data:R},{type:12,data:U},{type:12,data:H}];return e8(j,z),z.push(...j6(I,N,J)),D&&z.push(...j6($[2].dims)),z.push(...j6(k)),{name:"MatMulNaive",shaderCache:{hint:`${j.activation};${L};${Y};${S};${Z}`,inputDependencies:D?["rank","rank","rank"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:V?V(O):O,dataType:$[0].dataType}],dispatchGroup:{x:Math.ceil(X/64)},programUniforms:z}),getShaderSource:(w)=>{let T=vR("batch_dims",$[0].dataType,I.length),W=O5("a",$[0].dataType,N.length,Y),E=O5("b",$[1].dataType,J.length,L),Q=t5("output",$[0].dataType,k.length,L),A=Z1(Q.type.tensor),l=t8(j,Q.type.value,A),r=[W,E],e="";if(D){let v0=Z?L:1;r.push(O5("bias",$[2].dataType,$[2].dims.length,v0)),e=Z?`value += bias[col / ${v0}];`:`value += ${Q.type.value}(bias[row + i]);`}let V0=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"}];return $$(j,V0),` + ${w.registerUniforms(V0).registerInternalVariables(T).declareVariables(...r,Q)} + ${w.mainStart()} + ${w.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let col = (global_idx % (uniforms.N / ${L})) * ${L}; + var index1 = global_idx / (uniforms.N / ${L}); + let stride1 = uniforms.M / ${S}; + let row = (index1 % stride1) * ${S}; + let batch = index1 / stride1; + + ${O.length===2?"":`let batch_indices = ${T.offsetToIndices("batch")};`} + + var a_indices: ${W.type.indices}; + ${BZ("a_indices",W,W.rank-2,T.rank,"batch_indices")} + ${W.indicesSet("a_indices",W.rank-2,0)} + ${W.indicesSet("a_indices",W.rank-1,0)} + let a_offset = ${W.indicesToOffset("a_indices")}; + + var b_indices: ${E.type.indices}; + ${BZ("b_indices",E,E.rank-2,T.rank,"batch_indices")} + ${E.indicesSet("b_indices",E.rank-2,0)} + ${E.indicesSet("b_indices",E.rank-1,0)} + let b_offset = ${E.indicesToOffset("b_indices")}; + var values: array<${Q.type.value}, ${S}>; + for (var k: u32 = 0u; k < uniforms.K; k = k + ${Y}) { + ${(()=>{let v0=`var a_data: ${W.type.value};`;for(let $0=0;$0{Y6(),D6(),M6(),Z$(),XR(),PR(),TY=($,j)=>$?` + mm_Asub[inputRow][inputCol] = mm_readA(batch, + kStart + inputRow, + globalRowStart / innerElementSize + inputCol${j?", batchIndices":""}); + `:` + mm_Asub[inputRow][inputCol] = mm_readA(batch, + globalRow + innerRow, + kStart / innerElementSize + inputCol${j?", batchIndices":""}); + `,FY=($,j)=>$?` + let ACached0 = mm_Asub[k * innerElementSize][localRow]; + let ACached1 = mm_Asub[k * innerElementSize + 1][localRow]; + let ACached2 = mm_Asub[k * innerElementSize + 2][localRow]; + ${j===3?"":"let ACached3 = mm_Asub[k * innerElementSize + 3][localRow];"} + for (var i = 0; i < rowPerThread; i = i + 1) { + acc[i] = BCached0 * ACached0[i] + acc[i]; + acc[i] = BCached1 * ACached1[i] + acc[i]; + acc[i] = BCached2 * ACached2[i] + acc[i]; + ${j===3?"":"acc[i] = BCached3 * ACached3[i] + acc[i];"} + }`:` + for (var i = 0; i < rowPerThread; i = i + 1) { + let ACached = mm_Asub[tileRow + i][k]; + acc[i] = BCached0 * ACached.x + acc[i]; + acc[i] = BCached1 * ACached.y + acc[i]; + acc[i] = BCached2 * ACached.z + acc[i]; + ${j===3?"":"acc[i] = BCached3 * ACached.w + acc[i];"} + }`,Pv=($,j,O="f32",G,Z=!1,V=32,N=!1,J=32)=>{let R=j[1]*$[1],U=j[0]*$[0],H=Z?R:V,L=Z?V:R,Y=H/j[0],S=V/j[1];if((!Z||Y!==4||$[1]!==4)&&(Z||Y!==3&&Y!==4)||H%j[0]!==0||V%j[1]!==0||$[0]!==4)throw Error(`If transposeA ${Z} is true, innerElementSize ${Y} and workPerThread[1] ${$[1]} must be 4. + Otherwise, innerElementSize ${Y} must be 3 or 4. + tileAWidth ${H} must be divisible by workgroupSize[0]${j[0]}. tileInner ${V} must be divisible by workgroupSize[1] ${j[1]}. colPerThread ${$[0]} must be 4.`);return` +var mm_Asub: array, ${H/Y}>, ${L}>; +var mm_Bsub: array, ${U/$[0]}>, ${V}>; + +const rowPerThread = ${$[1]}; +const colPerThread = ${$[0]}; +const innerElementSize = ${Y}; +const tileInner = ${V}; + +@compute @workgroup_size(${j[0]}, ${j[1]}, ${j[2]}) +fn main(@builtin(local_invocation_id) localId : vec3, + @builtin(global_invocation_id) globalId : vec3, + @builtin(workgroup_id) workgroupId : vec3) { + let localRow = i32(localId.y); + let tileRow = localRow * rowPerThread; + let tileCol = i32(localId.x); + + let globalRow =i32(globalId.y) * rowPerThread; + let globalCol = i32(globalId.x); + let batch = ${N?"0":"i32(globalId.z)"}; + ${G?`let batchIndices = ${G.offsetToIndices("u32(batch)")};`:""} + let globalRowStart = i32(workgroupId.y) * ${R}; + + let num_tiles = ${N?`${Math.ceil(J/V)}`:"(uniforms.dim_inner - 1) / tileInner + 1"}; + var kStart = ${N?`i32(globalId.z) * ${J}`:"0"}; + + var acc: array, rowPerThread>; + + // Loop over shared dimension. + let tileRowB = localRow * ${S}; + for (var t = 0; t < num_tiles; t = t + 1) { + // Load one tile of A into local memory. + for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + let inputRow = tileRow + innerRow; + let inputCol = tileCol; + ${TY(Z,G)} + } + + // Load one tile of B into local memory. + for (var innerRow = 0; innerRow < ${S}; innerRow = innerRow + 1) { + let inputRow = tileRowB + innerRow; + let inputCol = tileCol; + mm_Bsub[inputRow][inputCol] = mm_readB(batch, kStart + inputRow, globalCol${G?", batchIndices":""}); + } + kStart = kStart + tileInner; + workgroupBarrier(); + + // Compute acc values for a single thread. + for (var k = 0; k < tileInner / innerElementSize; k = k + 1) { + let BCached0 = mm_Bsub[k * innerElementSize][tileCol]; + let BCached1 = mm_Bsub[k * innerElementSize + 1][tileCol]; + let BCached2 = mm_Bsub[k * innerElementSize + 2][tileCol]; + ${Y===3?"":"let BCached3 = mm_Bsub[k * innerElementSize + 3][tileCol];"} + + ${FY(Z,Y)} + } + + workgroupBarrier(); + } + + for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + mm_write(batch, globalRow + innerRow, globalCol, acc[innerRow]); + } +}`},RJ=($,j)=>$?` + mm_Asub[inputRow][inputCol] = mm_readA(batch, + kStart + inputRow, + globalRowStart + inputCol${j?", batchIndices":""}); + `:` + mm_Asub[inputRow][inputCol] = mm_readA(batch, + globalRowStart + inputRow, + kStart + inputCol${j?", batchIndices":""}); + `,yY=($)=>$?"let ACached = mm_Asub[k][tileRow + innerRow];":"let ACached = mm_Asub[tileRow + innerRow][k];",Xv=($,j,O="f32",G,Z=!1,V=32,N=!1,J=32,R=!1)=>{let U=$[1]*j[1],H=$[0]*j[0],L=Z?U:V,Y=Z?V:U;if(Y%j[1]!==0||L%j[0]!==0||V%j[1]!==0)throw Error(`tileAHight ${Y} must be divisible by workgroupSize[1]${j[1]}, tileAWidth ${L} must be divisible by workgroupSize[0]${j[0]}, tileInner ${V} must be divisible by workgroupSize[1]${j[1]}`);let S=Y/j[1],X=L/j[0],D=V/j[1],I=R?` + let localRow = i32(localId.y); + let localCol = i32(localId.x); + let globalRowStart = i32(workgroupId.y) * ${U}; + let globalColStart = i32(workgroupId.x) * ${H}; + + // Loop over shared dimension. + for (var t = 0; t < num_tiles; t = t + 1) { + // Load one tile of A into local memory. + for (var inputRow = localRow; inputRow < ${Y}; inputRow = inputRow + ${j[1]}) { + for (var inputCol = localCol; inputCol < ${L}; inputCol = inputCol + ${j[0]}) { + ${RJ(Z,G)} + } + } + // Load one tile of B into local memory. + for (var inputRow = localRow; inputRow < ${V}; inputRow = inputRow + ${j[1]}) { + for (var inputCol = localCol; inputCol < ${H}; inputCol = inputCol + ${j[0]}) { + mm_Bsub[inputRow][inputCol] = mm_readB(batch, + kStart + inputRow, + globalColStart + inputCol${G?", batchIndices":""}); + } + } + kStart = kStart + tileInner; + workgroupBarrier(); + + // Compute acc values for a single thread. + var BCached : array<${O}, colPerThread>; + for (var k = 0; k < tileInner; k = k + 1) { + for (var inner = 0; inner < colPerThread; inner = inner + 1) { + BCached[inner] = mm_Bsub[k][localCol + inner * ${j[0]}]; + } + for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + let ACached = ${Z?`mm_Asub[k][localRow + innerRow * ${j[1]}];`:`mm_Asub[localRow + innerRow * ${j[1]}][k];`} + for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) { + acc[innerRow][innerCol] = acc[innerRow][innerCol] + + ACached * BCached[innerCol]; + } + } + } + workgroupBarrier(); + } + for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + let gRow = globalRowStart + localRow + innerRow * ${j[1]}; + for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) { + let gCol = globalColStart + localCol + innerCol * ${j[0]}; + mm_write(batch, gRow, gCol, acc[innerRow][innerCol]); + } + } + `:` +let tileRow = i32(localId.y) * rowPerThread; +let tileCol = i32(localId.x) * colPerThread; + +let globalRow = i32(globalId.y) * rowPerThread; +let globalCol = i32(globalId.x) * colPerThread; +let globalRowStart = i32(workgroupId.y) * ${U}; + +let tileRowA = i32(localId.y) * ${S}; +let tileColA = i32(localId.x) * ${X}; +let tileRowB = i32(localId.y) * ${D}; +// Loop over shared dimension. +for (var t = 0; t < num_tiles; t = t + 1) { + // Load one tile of A into local memory. + for (var innerRow = 0; innerRow < ${S}; innerRow = innerRow + 1) { + for (var innerCol = 0; innerCol < ${X}; innerCol = innerCol + 1) { + let inputRow = tileRowA + innerRow; + let inputCol = tileColA + innerCol; + ${RJ(Z,G)} + } + } + + // Load one tile of B into local memory. + for (var innerRow = 0; innerRow < ${D}; innerRow = innerRow + 1) { + for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) { + let inputRow = tileRowB + innerRow; + let inputCol = tileCol + innerCol; + mm_Bsub[inputRow][inputCol] = mm_readB(batch, + kStart + inputRow, + globalCol + innerCol${G?", batchIndices":""}); + } + } + kStart = kStart + tileInner; + workgroupBarrier(); + + // Compute acc values for a single thread. + var BCached : array<${O}, colPerThread>; + for (var k = 0; k < tileInner; k = k + 1) { + for (var inner = 0; inner < colPerThread; inner = inner + 1) { + BCached[inner] = mm_Bsub[k][tileCol + inner]; + } + + for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + ${yY(Z)} + for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) { + acc[innerRow][innerCol] = acc[innerRow][innerCol] + ACached * BCached[innerCol]; + } + } + } + + workgroupBarrier(); +} + +for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) { + mm_write(batch, globalRow + innerRow, globalCol + innerCol, + acc[innerRow][innerCol]); + } +} +`;return` + var mm_Asub : array, ${Y}>; + var mm_Bsub : array, ${V}>; + const rowPerThread = ${$[1]}; + const colPerThread = ${$[0]}; + const tileInner = ${V}; + +@compute @workgroup_size(${j[0]}, ${j[1]}, ${j[2]}) +fn main(@builtin(local_invocation_id) localId : vec3, + @builtin(global_invocation_id) globalId : vec3, + @builtin(workgroup_id) workgroupId : vec3) { + let batch = ${N?"0":"i32(globalId.z)"}; + ${G?`let batchIndices = ${G.offsetToIndices("u32(batch)")};`:""} + let num_tiles = ${N?`${Math.ceil(J/V)}`:"(uniforms.dim_inner - 1) / tileInner + 1"}; + var kStart = ${N?`i32(globalId.z) * ${J}`:"0"}; + + var acc : array, rowPerThread>; + ${I} + } +`},zY=($,j,O,G,Z=!1)=>{let[V,N,J,R]=G,U=Z1(G[0].type.tensor);return` + fn mm_readA(batch: i32, row: i32, colIn: i32, batchIndices: ${V.type.indices}) -> ${D1($,U)} { + var value = ${D1($,U)}(0.0); + let col = colIn * ${$}; + if(row < uniforms.dim_a_outer && col < uniforms.dim_inner) + { + var aIndices: ${N.type.indices}; + ${BZ("aIndices",N,N.rank-2,V.rank,"batchIndices")} + ${N.indicesSet("aIndices",N.rank-2,"u32(row)")} + ${N.indicesSet("aIndices",N.rank-1,"u32(colIn)")} + value = ${N.getByIndices("aIndices")}; + } + return value; + } + + fn mm_readB(batch: i32, row: i32, colIn: i32, batchIndices: ${V.type.indices}) -> ${D1($,U)} { + var value = ${D1($,U)}(0.0); + let col = colIn * ${$}; + if(row < uniforms.dim_inner && col < uniforms.dim_b_outer) + { + var bIndices: ${J.type.indices}; + ${BZ("bIndices",J,J.rank-2,V.rank,"batchIndices")} + ${J.indicesSet("bIndices",J.rank-2,"u32(row)")} + ${J.indicesSet("bIndices",J.rank-1,"u32(colIn)")} + value = ${J.getByIndices("bIndices")}; + } + return value; + } + + fn mm_write(batch: i32, row: i32, colIn: i32, valueIn: ${D1($,U)}) { + let col = colIn * ${$}; + if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer) { + var value = valueIn; + let coords = vec3(batch, row, colIn); + ${j?`value = value + ${Z?"bias[colIn]":`${D1($,U)}(bias[row])`};`:""} + ${O} + ${R.setByIndices("vec3(coords)","value")} + } + } + `},YV=($,j,O,G,Z=!1,V)=>{let N=$[0].dims,J=$[1].dims,R=N.slice(0,-2),U=J.slice(0,-2),H=G?G.slice(0,-2):O.slice(0,-2),L=l0.size(H),Y=N[N.length-2],S=N[N.length-1],X=J[J.length-1],D=S%4==0&&X%4==0,I=Y<=8?[4,1,1]:[4,4,1],k=[8,8,1],z=[Math.ceil(X/k[0]/I[0]),Math.ceil(Y/k[1]/I[1]),Math.ceil(L/k[2]/I[2])],w=D?4:1,T=[...R,Y,S/w],W=T.length,E=[...U,S,X/w],Q=E.length,A=[L,Y,X/w],l=[{type:6,data:Y},{type:6,data:X},{type:6,data:S}];e8(j,l),l.push(...j6(H,T,E));let r=["rank","rank"],e=$.length>2;return e&&(l.push(...j6($[2].dims)),r.push("rank")),l.push(...j6(A)),{name:"MatMul",shaderCache:{hint:`${I};${j.activation};${D};${Z}`,inputDependencies:r},getRunData:()=>({outputs:[{dims:V?V(O):O,dataType:$[0].dataType}],dispatchGroup:{x:z[0],y:z[1],z:z[2]},programUniforms:l}),getShaderSource:(V0)=>{let v0=H.length,$0=vR("batchDims",$[0].dataType,v0,1),i=Z1($[0].dataType),G0=O5("a",$[0].dataType,W,w),S0=O5("b",$[1].dataType,Q,w),F0=t5("result",$[0].dataType,A.length,w),s=[G0,S0];if(e){let Z0=Z?w:1;s.push(O5("bias",$[2].dataType,$[2].dims.length,Z0))}let n=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"}];$$(j,n);let R0=Z1(F0.type.tensor),q0=t8(j,F0.type.value,R0),p0=zY(w,e,q0,[$0,G0,S0,F0],Z);return` + ${V0.registerUniforms(n).registerInternalVariables($0).declareVariables(...s,F0)} + ${p0} + ${D?Pv(I,k,i,$0):Xv(I,k,i,$0)} + `}}}}),QM=I5(()=>{Y6(),I4(),M6(),Z$(),PR(),EM(),TR(),kY=($,j,O,G,Z=!1,V,N=4,J=4,R=4,U="f32")=>{let H=(A)=>{switch(A){case 1:return"return w[row * i32(uniforms.w_shape[3]) + colIn];";case 4:return"return w[row * i32(uniforms.w_shape[3]) / 4 + colIn];";default:throw Error(`innerElementSize ${A} is not supported.`)}},L=$?` + let coord = vec4(batch, xRow, xCol, xCh); + `:` + let coord = vec4(batch, xCh, xRow, xCol); + `,Y=$?` + let coords = vec4( + batch, + row / outWidth, + row % outWidth, + col); + `:` + let coords = vec4( + batch, + row, + col / outWidth, + col % outWidth); + `,S=$?"i32(uniforms.x_shape[1])":"i32(uniforms.x_shape[2])",X=$?"i32(uniforms.x_shape[2])":"i32(uniforms.x_shape[3])",D=$?"row":"col",I=$?"col":"row",k=` + let inChannels = i32(uniforms.w_shape[2]); + let outWidth = ${$?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"}; + let outRow = ${D} / outWidth; + let outCol = ${D} % outWidth; + + let WRow = ${I} / (i32(uniforms.w_shape[1]) * inChannels); + let WCol = ${I} / inChannels % i32(uniforms.w_shape[1]); + let xRow = outRow * uniforms.stride[0] + uniforms.dilation[0] * WRow - uniforms.pad[0]; + let xCol = outCol * uniforms.stride[1] + uniforms.dilation[1] * WCol - uniforms.pad[1]; + let xCh = ${I} % inChannels; + var resData = ${D1(N,U)}(0.0); + // The bounds checking is always needed since we use it to pad zero for + // the 'same' padding type. + if (xRow >= 0 && xRow < ${S} && xCol >= 0 && xCol < ${X}) { + ${L} + let xIndex = getIndexFromCoords4D(coord, vec4(uniforms.x_shape)); + ${((A)=>{switch(A){case 1:return"resData = x[xIndex];";case 3:return`resData = vec3<${U}>(x[xIndex], x[xIndex + 1], x[xIndex + 2]);`;case 4:return"resData = x[xIndex / 4];";default:throw Error(`innerElementSize ${A} is not supported.`)}})(N)} + } + return resData;`,z=$?j&&G?` + let col = colIn * ${N}; + ${k}`:` + let col = colIn * ${N}; + if (row < uniforms.dim_a_outer && col < uniforms.dim_inner) { + ${k} + } + return ${D1(N,U)}(0.0);`:G&&O?` + let col = colIn * ${N}; + ${k}`:` + let col = colIn * ${N}; + if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) { + ${k} + } + return ${D1(N,U)}(0.0);`,w=$?G&&O?H(J):` + let col = colIn * ${J}; + if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) { + ${H(J)} + } + return ${D1(J,U)}(0.0);`:` + let col = colIn * ${J}; + if (row < uniforms.dim_inner && col < uniforms.dim_a_outer) { + ${H(J)} + } + return ${D1(J,U)}(0.0);`,T=D1(R,U),W=D1($?N:J,U),E=D1($?J:N,U),Q=t8(V,T,U);return` + fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${W} { + ${$?z:w} + } + + fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${E} { + ${$?w:z} + } + + fn mm_write(batch: i32, row : i32, colIn : i32, valueIn : ${T}) { + let col = colIn * ${R}; + if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer) + { + var value = valueIn; + let outWidth = ${$?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"}; + ${Y} + ${Sk(Z)} + ${Q} + setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value); + } + }`},Xk=($,j,O,G,Z,V,N,J,R)=>{let U=j.format==="NHWC",H=U?$[0].dims[3]:$[0].dims[1],L=O[0],Y=U?O[2]:O[3],S=U?O[1]:O[2],X=U?O[3]:O[1],D=U&&(H%4==0||H%3==0)&&X%4==0,I=U?X:Y*S,k=U?Y*S:X,z=[8,8,1],w=G<=8?[4,1,1]:[4,4,1],T=[Math.ceil(I/z[0]/w[0]),Math.ceil(k/z[1]/w[1]),Math.ceil(L/z[2]/w[2])];l6("verbose",()=>`[conv2d_mm_webgpu] dispatch = ${T}`);let W=D?U&&H%4!=0?3:4:1,E=z[1]*w[1],Q=z[0]*w[0],A=Math.max(z[0]*W,z[1]),l=G%E===0,r=Z%Q===0,e=V%A===0,V0=D?[W,4,4]:[1,1,1],v0=[{type:6,data:G},{type:6,data:Z},{type:6,data:V},{type:6,data:[j.pads[0],j.pads[1]]},{type:6,data:j.strides},{type:6,data:j.dilations}];e8(j,v0),v0.push(...j6($[0].dims,$[1].dims));let $0=["rank","rank"];return N&&(v0.push(...j6($[2].dims)),$0.push("rank")),v0.push(...j6(O)),{name:"Conv2DMatMul",shaderCache:{hint:`${j.cacheKey};${W};${D};${l};${r};${e};${E};${Q};${A}`,inputDependencies:$0},getRunData:()=>({outputs:[{dims:R?R(O):O,dataType:$[0].dataType}],dispatchGroup:{x:T[0],y:T[1],z:T[2]},programUniforms:v0}),getShaderSource:(i)=>{let G0=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"},{name:"pad",type:"i32",length:2},{name:"stride",type:"i32",length:2},{name:"dilation",type:"i32",length:2}];$$(j,G0);let S0=D?4:1,F0=Z1($[0].dataType),s=` + fn setOutputAtIndex(flatIndex : i32, value : ${D?`vec4<${F0}>`:F0}) { + result[flatIndex] = ${D?`vec4<${F0}>`:F0}(value); + } + fn setOutputAtCoords(d0 : i32, d1 : i32, d2 : i32, d3 : i32, value : ${D?`vec4<${F0}>`:F0}) { + let flatIndex = getOutputIndexFromCoords(vec4(d0, d1, d2, d3)); + setOutputAtIndex(flatIndex ${D?"/ 4":""}, value); + }`,n=[O5("x",$[0].dataType,$[0].dims.length,W===3?1:W),O5("w",$[1].dataType,$[1].dims.length,S0)],R0=t5("result",$[0].dataType,O.length,S0);if(N){let q0=O5("bias",$[2].dataType,$[2].dims.length,S0);n.push(q0),s+=` + fn getBiasByOutputCoords(coords : vec4) -> ${D?`vec4<${F0}>`:F0} { + return bias[coords.${U?"w":"y"}${D?"/ 4":""}]; + }`}return` + ${Pk("uniforms.result_strides")} + //struct Uniforms { xShape : vec4, wShape : vec4, outShape : vec4, + // outShapeStrides: vec3, filterDims : vec2, pad : vec2, stride : vec2, + // dilation : vec2, dimAOuter : i32, dimBOuter : i32, dimInner : i32 }; + ${i.registerUniforms(G0).declareVariables(...n,R0)} + ${s} + ${kY(U,l,r,e,N,j,V0[0],V0[1],V0[2],F0)} + ${D?Pv(w,z,F0,void 0,!U,A):Xv(w,z,F0,void 0,!U,A,!1,void 0,J)}`}}}}),CM=I5(()=>{Y6(),I4(),D6(),M6(),Z$(),PR(),IY=($)=>{let j=1;for(let O=0;O<$.length;O++)j*=$[O];return j},UJ=($)=>typeof $=="number"?[$,$,$]:$,kZ=($,j)=>j<=1?$:$+($-1)*(j-1),DY=($,j,O,G=1)=>{let Z=kZ(j,G);return Math.floor(($[0]*(O-1)-O+Z)/2)},HJ=($,j,O,G,Z)=>{Z==null&&(Z=DY($,j[0],G[0]));let V=[0,0,0,O];for(let N=0;N<3;N++)$[N]+2*Z>=j[N]&&(V[N]=Math.trunc(($[N]-j[N]+2*Z)/G[N]+1));return V},WY=($,j,O,G,Z,V,N,J,R,U)=>{let H,L,Y,S;if($==="VALID"&&($=0),typeof $=="number"){H={top:$,bottom:$,left:$,right:$,front:$,back:$};let X=HJ([j,O,G,1],[J,R,U],1,[Z,V,N],$);L=X[0],Y=X[1],S=X[2]}else if(Array.isArray($)){if(!$.every((D,I,k)=>D===k[0]))throw Error(`Unsupported padding parameter: ${$}`);H={top:$[0],bottom:$[1],left:$[2],right:$[3],front:$[4],back:$[5]};let X=HJ([j,O,G,1],[J,R,U],1,[Z,V,N],$[0]);L=X[0],Y=X[1],S=X[2]}else{if($!=="SAME_UPPER")throw Error(`Unknown padding parameter: ${$}`);{L=Math.ceil(j/Z),Y=Math.ceil(O/V),S=Math.ceil(G/N);let X=(L-1)*Z+J-j,D=(Y-1)*V+R-O,I=(S-1)*N+U-G,k=Math.floor(X/2),z=X-k,w=Math.floor(D/2),T=D-w,W=Math.floor(I/2);H={top:w,bottom:T,left:W,right:I-W,front:k,back:z}}}return{padInfo:H,outDepth:L,outHeight:Y,outWidth:S}},Tk=($,j,O,G,Z,V=!1,N="channelsLast")=>{let J,R,U,H,L;if(N==="channelsLast")[J,R,U,H,L]=$;else{if(N!=="channelsFirst")throw Error(`Unknown dataFormat ${N}`);[J,L,R,U,H]=$}let[Y,,S,X,D]=j,[I,k,z]=UJ(O),[w,T,W]=UJ(G),E=kZ(S,w),Q=kZ(X,T),A=kZ(D,W),{padInfo:l,outDepth:r,outHeight:e,outWidth:V0}=WY(Z,R,U,H,I,k,z,E,Q,A),v0=V?Y*L:Y,$0=[0,0,0,0,0];return N==="channelsFirst"?$0=[J,v0,r,e,V0]:N==="channelsLast"&&($0=[J,r,e,V0,v0]),{batchSize:J,dataFormat:N,inDepth:R,inHeight:U,inWidth:H,inChannels:L,outDepth:r,outHeight:e,outWidth:V0,outChannels:v0,padInfo:l,strideDepth:I,strideHeight:k,strideWidth:z,filterDepth:S,filterHeight:X,filterWidth:D,effectiveFilterDepth:E,effectiveFilterHeight:Q,effectiveFilterWidth:A,dilationDepth:w,dilationHeight:T,dilationWidth:W,inShape:$,outShape:$0,filterShape:j}},Fk=($,j,O,G,Z,V)=>{let N=V==="channelsLast";N?$[0].dims[3]:$[0].dims[1];let J={x:O.map((Y,S)=>S)},R=[Math.ceil(IY(J.x.map((Y)=>O[Y]))/64),1,1];l6("verbose",()=>`[conv3d_naive_webgpu] dispatch = ${R}`);let U=[{type:12,data:l0.size(O)},{type:12,data:G},{type:12,data:Z},{type:12,data:j.strides},{type:12,data:j.dilations}];e8(j,U),U.push(...j6($[0].dims,$[1].dims));let H=["rank","rank"],L=$.length===3;return L&&(U.push(...j6($[2].dims)),H.push("rank")),U.push(...j6(O)),{name:"Conv3DNaive",shaderCache:{hint:`${j.cacheKey};${N};1;${L}`,inputDependencies:H},getRunData:()=>({outputs:[{dims:O,dataType:$[0].dataType}],dispatchGroup:{x:R[0],y:R[1],z:R[2]},programUniforms:U}),getShaderSource:(Y)=>{let S=[{name:"output_size",type:"u32"},{name:"filter_dims",type:"u32",length:G.length},{name:"pads",type:"u32",length:Z.length},{name:"strides",type:"u32",length:j.strides.length},{name:"dilations",type:"u32",length:j.dilations.length}];$$(j,S);let X=Z1($[0].dataType),D=O5("x",$[0].dataType,$[0].dims.length,1),I=O5("W",$[1].dataType,$[1].dims.length,1),k=[D,I],z=t5("result",$[0].dataType,O.length,1),w="";if(L){let E=O5("bias",$[2].dataType,$[2].dims.length,1);k.push(E),w+=` + fn getBiasByOutputCoords(coords : array) -> ${X} { + return bias[${R6("coords",N?4:1,5)}]; + }`}let T=D1(1,X),W=t8(j,T,X);return` + ${w} + fn getX(d0 : u32, d1 : u32, d2 : u32, d3 : u32, d4 : u32) -> f32 { + let aIndices = array(d0, d1, d2, d3, d4); + return ${D.getByIndices("aIndices")}; + } + fn getW(d0 : u32, d1 : u32, d2 : u32, d3 : u32, d4 : u32) -> f32 { + let aIndices = array(d0, d1, d2, d3, d4); + return ${I.getByIndices("aIndices")}; + } + ${Y.registerUniforms(S).declareVariables(...k,z)} + ${Y.mainStart()} + ${Y.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let coords = ${z.offsetToIndices("global_idx")}; + let batch = ${R6("coords",0,D.rank)}; + let d2 = ${R6("coords",N?D.rank-1:1,D.rank)}; + let xFRCCorner = vec3(${R6("coords",N?1:2,D.rank)}, + ${R6("coords",N?2:3,D.rank)}, + ${R6("coords",N?3:4,D.rank)}) * uniforms.strides - uniforms.pads; + let xFCorner = xFRCCorner.x; + let xRCorner = xFRCCorner.y; + let xCCorner = xFRCCorner.z; + let xShapeY = ${R6("uniforms.x_shape",N?1:2,D.rank)}; + let xShapeZ = ${R6("uniforms.x_shape",N?2:3,D.rank)}; + let xShapeW = ${R6("uniforms.x_shape",N?3:4,D.rank)}; + let xShapeU = ${R6("uniforms.x_shape",N?4:1,D.rank)}; + let inputDepthNearestVec4 = (xShapeU / 4) * 4; + let inputDepthVec4Remainder = xShapeU % 4; + + var value = 0.0; + for (var wF = 0u; wF < uniforms.filter_dims[0]; wF++) { + let xF = xFCorner + wF * uniforms.dilations[0]; + if (xF < 0 || xF >= xShapeY) { + continue; + } + + for (var wR = 0u; wR < uniforms.filter_dims[1]; wR++) { + let xR = xRCorner + wR * uniforms.dilations[1]; + if (xR < 0 || xR >= xShapeZ) { + continue; + } + + for (var wC = 0u; wC < uniforms.filter_dims[2]; wC++) { + let xC = xCCorner + wC * uniforms.dilations[2]; + if (xC < 0 || xC >= xShapeW) { + continue; + } + + for (var d1 = 0u; d1 < inputDepthNearestVec4; d1 += 4) { + ${N?`let xValues = vec4( + getX(batch, xF, xR, xC, d1), + getX(batch, xF, xR, xC, d1 + 1), + getX(batch, xF, xR, xC, d1 + 2), + getX(batch, xF, xR, xC, d1 + 3)); + `:`let xValues = vec4( + getX(batch, d1, xF, xR, xC), + getX(batch, d1 + 1, xF, xR, xC), + getX(batch, d1 + 2, xF, xR, xC), + getX(batch, d1 + 3, xF, xR, xC)); + `} + let wValues = vec4( + getW(d2, d1, wF, wR, wC), + getW(d2, d1 + 1, wF, wR, wC), + getW(d2, d1 + 2, wF, wR, wC), + getW(d2, d1 + 3, wF, wR, wC)); + value += dot(xValues, wValues); + } + if (inputDepthVec4Remainder == 1) { + ${N?`value += getX(batch, xF, xR, xC, inputDepthNearestVec4) + * getW(d2, inputDepthNearestVec4, wF, wR, wC);`:`value += getX(batch, inputDepthNearestVec4, xF, xR, xC) + * getW(d2, inputDepthNearestVec4, wF, wR, wC);`} + } else if (inputDepthVec4Remainder == 2) { + ${N?`let xValues = vec2( + getX(batch, xF, xR, xC, inputDepthNearestVec4), + getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1)); + `:`let xValues = vec2( + getX(batch, inputDepthNearestVec4, xF, xR, xC), + getX(batch, inputDepthNearestVec4 + 1, xF, xR, xC)); + `} + let wValues = vec2( + getW(d2, inputDepthNearestVec4, wF, wR, wC), + getW(d2, inputDepthNearestVec4 + 1, wF, wR, wC)); + value += dot(xValues, wValues); + } else if (inputDepthVec4Remainder == 3) { + ${N?`let xValues = vec3( + getX(batch, xF, xR, xC, inputDepthNearestVec4), + getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1), + getX(batch, xF, xR, xC, inputDepthNearestVec4 + 2)); + `:`let xValues = vec3( + getX(batch, inputDepthNearestVec4, xF, xR, xC), + getX(batch, inputDepthNearestVec4 + 1, xF, xR, xC), + getX(batch, inputDepthNearestVec4 + 2, xF, xR, xC)); + `} + let wValues = vec3( + getW(d2, inputDepthNearestVec4, wF, wR, wC), + getW(d2, inputDepthNearestVec4 + 1, wF, wR, wC), + getW(d2, inputDepthNearestVec4 + 2, wF, wR, wC)); + value += dot(xValues, wValues); + } + } + } + } + ${L?"value = value + getBiasByOutputCoords(coords)":""}; + ${W} + result[global_idx] = f32(value); + }`}}}}),BM=I5(()=>{Y6(),D6(),M6(),Z$(),yk=($,j,O,G)=>{let Z=$.length>2,V=Z?"value += b[output_channel];":"",N=$[0].dims,J=$[1].dims,R=j.format==="NHWC",U=R?O[3]:O[1],H=U/j.group,L=R&&H>=4?K9(U):1,Y=l0.size(O)/L,S=[{type:12,data:Y},{type:12,data:j.dilations},{type:12,data:[j.strides[0],j.strides[1]]},{type:12,data:[j.pads[0],j.pads[1]]},{type:12,data:H}];e8(j,S),S.push(...j6(N,[J[0],J[1],J[2],J[3]/L]));let X=Z?["rank","rank","rank"]:["rank","rank"];return S.push(...j6([O[0],O[1],O[2],O[3]/L])),{name:"GroupedConv",shaderCache:{hint:`${j.cacheKey}_${L}`,inputDependencies:X},getRunData:()=>({outputs:[{dims:G?G(O):O,dataType:$[0].dataType}],dispatchGroup:{x:Math.ceil(Y/64)},programUniforms:S}),getShaderSource:(D)=>{let I=t5("output",$[0].dataType,O.length,L),k=Z1(I.type.tensor),z=t8(j,I.type.value,k),w=O5("x",$[0].dataType,N.length),T=O5("w",$[1].dataType,J.length,L),W=[w,T];Z&&W.push(O5("b",$[2].dataType,$[2].dims,L));let E=[{name:"output_size",type:"u32"},{name:"dilations",type:"u32",length:j.dilations.length},{name:"strides",type:"u32",length:2},{name:"pads",type:"u32",length:2},{name:"output_channels_per_group",type:"u32"}];$$(j,E);let Q=R?` + for (var wHeight: u32 = 0u; wHeight < uniforms.w_shape[0]; wHeight++) { + let xHeight = xRCCorner.x + wHeight * uniforms.dilations[0]; + + if (xHeight < 0u || xHeight >= uniforms.x_shape[1]) { + continue; + } + + for (var wWidth: u32 = 0u; wWidth < uniforms.w_shape[1]; wWidth++) { + let xWidth = xRCCorner.y + wWidth * uniforms.dilations[1]; + if (xWidth < 0u || xWidth >= uniforms.x_shape[2]) { + continue; + } + + for (var wInChannel: u32 = 0u; wInChannel < uniforms.w_shape[2]; wInChannel++) { + let input_channel = in_channel_offset + wInChannel; + let xVal = ${w.get("batch","xHeight","xWidth","input_channel")}; + let wVal = ${T.get("wHeight","wWidth","wInChannel","output_channel")}; + value += xVal * wVal; + } + } + } + `:` + for (var wInChannel: u32 = 0u; wInChannel < uniforms.w_shape[1]; wInChannel++) { + let input_channel = in_channel_offset + wInChannel; + for (var wHeight: u32 = 0u; wHeight < uniforms.w_shape[2]; wHeight++) { + let xHeight = xRCCorner.x + wHeight * uniforms.dilations[0]; + + if (xHeight < 0u || xHeight >= uniforms.x_shape[2]) { + continue; + } + + for (var wWidth: u32 = 0u; wWidth < uniforms.w_shape[3]; wWidth++) { + let xWidth = xRCCorner.y + wWidth * uniforms.dilations[1]; + if (xWidth < 0u || xWidth >= uniforms.x_shape[3]) { + continue; + } + + let xVal = ${w.get("batch","input_channel","xHeight","xWidth")}; + let wVal = ${T.get("output_channel","wInChannel","wHeight","wWidth")}; + value += xVal * wVal; + } + } + } + `;return` + ${D.registerUniforms(E).declareVariables(...W,I)} + + ${D.mainStart()} + ${D.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + + let outputIndices = ${I.offsetToIndices("global_idx")}; + let batch: u32 = outputIndices[0]; + let output_channel: u32 = outputIndices[${R?3:1}]; + let xRCCorner: vec2 = vec2(outputIndices[${R?1:2}], outputIndices[${R?2:3}]) * uniforms.strides - uniforms.pads; + let group_id: u32 = output_channel * ${L} / uniforms.output_channels_per_group; + var in_channel_offset = group_id * uniforms.w_shape[${R?2:1}]; + + var value: ${I.type.value} = ${I.type.value}(0); + ${Q} + ${V} + ${z} + ${I.setByOffset("global_idx","value")} + }`}}},zk=($,j,O,G)=>{let Z=$.length>2,V=K9(O[3]),N=K9(O[2]),J=l0.size(O)/V/N,R=[$[0].dims[0],$[0].dims[1],$[0].dims[2],$[0].dims[3]/V],U=[$[1].dims[0],$[1].dims[1],$[1].dims[2],$[1].dims[3]/V],H=[O[0],O[1],O[2],O[3]/V],L=[{type:12,data:J},{type:6,data:[j.strides[0],j.strides[1]]},{type:6,data:[j.pads[0],j.pads[1]]}];e8(j,L),L.push(...j6(R,U,H));let Y=(N-1)*j.strides[1]+U[1];return{name:"GroupedConv-Vectorize",shaderCache:{hint:`${j.cacheKey};${V};${N};${Y};${U[0]};${U[1]}`,inputDependencies:Z?["rank","rank","type"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:G?G(O):O,dataType:$[0].dataType}],dispatchGroup:{x:Math.ceil(J/64)},programUniforms:L}),getShaderSource:(S)=>{let X=t5("output",$[0].dataType,H.length,V),D=Z1(X.type.tensor),I=t8(j,X.type.value,D),k=O5("x",$[0].dataType,R.length,V),z=O5("w",$[1].dataType,U.length,V),w=[k,z];Z&&w.push(O5("b",$[2].dataType,$[2].dims,V));let T=Z?"value += b[output_channel];":"",W=[{name:"output_size",type:"u32"},{name:"strides",type:"i32",length:2},{name:"pads",type:"i32",length:2}];return $$(j,W),` + ${S.registerUniforms(W).declareVariables(...w,X)} + ${S.mainStart()} + ${S.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let width0 = uniforms.output_shape[3]; + let output_channel = global_idx % width0; + var index1 = global_idx / width0; + let width1 = uniforms.output_shape[2] / ${N}u; + let col = (index1 % width1) * ${N}u; + index1 = index1 / width1; + let row = index1 % uniforms.output_shape[1]; + let batch = index1 / uniforms.output_shape[1]; + + let x_corner = vec2(i32(row), i32(col)) * uniforms.strides - uniforms.pads; + + var x_vals: array<${k.type.value}, ${Y}>; + var values: array<${X.type.value}, ${N}>; + let input_channel = output_channel; + // Use constant instead of uniform can give better performance for w's height/width. + for (var w_height: u32 = 0u; w_height < ${U[0]}; w_height++) { + let x_height = x_corner.x + i32(w_height); + if (x_height >= 0 && u32(x_height) < uniforms.x_shape[1]) { + for (var i = 0; i < ${Y}; i++) { + let x_width = x_corner.y + i; + if (x_width >= 0 && u32(x_width) < uniforms.x_shape[2]) { + x_vals[i] = ${k.get("batch","u32(x_height)","u32(x_width)","input_channel")}; + } else { + x_vals[i] = ${k.type.value}(0); + } + } + for (var w_width: u32 = 0u; w_width < ${U[1]}; w_width++) { + let w_val = ${z.get("w_height","w_width","0","output_channel")}; + for (var i = 0u; i < ${N}u; i++) { + values[i] = fma(x_vals[i * u32(uniforms.strides[1]) + w_width], w_val, values[i]); + } + } + } + } + + for (var i = 0u; i < ${N}u; i++) { + var value = values[i]; + ${T} + ${I} + ${X.set("batch","row","col + i","output_channel","value")}; + } + }`}}}}),hM=I5(()=>{D6(),QM(),CM(),TR(),BM(),Z$(),XR(),v7(),MY=($,j,O,G,Z,V)=>{let N=$[0],J=$.slice(V?1:2,V?3:4),R=J.length,U=j[0],H=j.slice(2).map((Y,S)=>Y+(Y-1)*(O[S]-1)),L=J.map((Y,S)=>Y+G[S]+G[S+R]).map((Y,S)=>Math.floor((Y-H[S]+Z[S])/Z[S]));return L.splice(0,0,N),L.splice(V?3:1,0,U),L},oq=[2,3,1,0],KY=($,j)=>{if(!$||$.length!==2&&$.length!==3)throw Error("Conv requires 2 or 3 inputs");if($[0].dims.length>5)throw Error("greater than 5D is not supported");if($[0].dims.length!==$[1].dims.length)throw Error("filter does not have same dimension as input");if($[0].dims[j.format==="NHWC"?$[0].dims.length-1:1]!==$[1].dims[1]*j.group)throw 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E=$.kernelCustomData.wT??$.compute(X2(j[1],oq),{inputs:[1],outputs:[O.wIsConst?-2:-1]})[0];O.wIsConst&&!$.kernelCustomData.wT&&($.kernelCustomData.wT=E),W.push(E)}else W.push(j[1]);return j.length===3&&W.push(j[2]),void(!$.adapterInfo.isArchitecture("ampere")&&Z&&j[1].dims[0]===O.group&&j[1].dims[1]===1&&O.dilations[0]===1&&O.dilations[1]===1?$.compute(zk(W,O,V,G),{inputs:W}):$.compute(yk(W,O,V,G),{inputs:W}))}let N=j.length===3,J=j[0].dims[Z?1:2],R=j[0].dims[Z?2:3],U=j[0].dims[Z?3:1],H=j[1].dims[2],L=j[1].dims[3],Y=V[Z?1:2],S=V[Z?2:3],X=V[Z?3:1],D=Z&&H===J&&L===R&&O.pads[0]===0&&O.pads[1]===0;if(D||H===1&&L===1&&O.dilations[0]===1&&O.dilations[1]===1&&O.strides[0]===1&&O.strides[1]===1&&O.pads[0]===0&&O.pads[1]===0){let W,E,Q,A=V[0],l=[];if(Z){let V0=$.kernelCustomData.wT??$.compute(X2(j[1],oq),{inputs:[1],outputs:[O.wIsConst?-2:-1]})[0];if(O.wIsConst&&!$.kernelCustomData.wT&&($.kernelCustomData.wT=V0),D){let v0=J*R*U;W=j[0].reshape([1,A,v0]),E=V0.reshape([1,v0,X]),Q=[1,A,X]}else 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Z=[0,j.pads[0],0,j.pads[1]],V=[1].concat(j.strides),N=[1].concat(j.dilations),J=[1].concat(j.kernelShape),R=sq({...j,pads:Z,strides:V,dilations:N,kernelShape:J},G);xJ($,G,R,(U)=>O?[U[0],U[2],U[3]]:[U[0],U[1],U[3]])},fY=($,j,O)=>{let G=O.format==="NHWC"?"channelsLast":"channelsFirst",Z=sq(O,j),V=O.autoPad==="NOTSET"?O.pads:O.autoPad,N=Tk(j[0].dims,j[1].dims,O.strides,O.dilations,V,!1,G);$.compute(Fk(j,Z,N.outShape,[N.filterDepth,N.filterHeight,N.filterWidth],[N.padInfo.front,N.padInfo.top,N.padInfo.left],G))},Fv=($,j)=>{if(KY($.inputs,j),$.inputs[0].dims.length===3)bY($,j);else if($.inputs[0].dims.length===5)fY($,$.inputs,j);else{let O=sq(j,$.inputs);xJ($,$.inputs,O)}}}),cM=I5(()=>{Y6(),I4(),D6(),M6(),kk=($,j,O)=>{let G=$.length>2,Z=j.outputShape,V=j.format==="NHWC",N=j.group,J=$[1].dims,R=J[2]/N,U=J[3],H=V?K9(R):1,L=V&&U===1&&R>=4,Y=L?4*Math.floor(R/4):Math.floor(R/H)*H,S=R-Y,X=V?K9(U):1,D=V?U===1?H:X:1,I=l0.size(Z)/X,k=[Math.ceil(I/64),1,1];l6("verbose",()=>`[conv2d_backprop_webgpu] dispatch = ${k}`);let z=["rank","rank"],w=[j.strides[0],j.strides[1]],T=[j.kernelShape[V?1:2],j.kernelShape[V?2:3]],W=[j.dilations[0],j.dilations[1]],E=[T[0]+(j.dilations[0]<=1?0:(j.kernelShape[V?1:2]-1)*(j.dilations[0]-1)),T[1]+(j.dilations[1]<=1?0:(j.kernelShape[V?2:3]-1)*(j.dilations[1]-1))],Q=[E[0]-1-Math.floor((j.pads[0]+j.pads[2])/2),E[1]-1-Math.floor((j.pads[1]+j.pads[3])/2)],A=[{type:12,data:I},{type:12,data:w},{type:12,data:T},{type:12,data:W},{type:12,data:E},{type:6,data:Q},{type:12,data:Y},{type:12,data:R},{type:12,data:U},...j6($[0].dims,$[1].dims)];return G&&(A.push(...j6($[2].dims)),z.push("rank")),A.push(...j6(Z)),{name:"ConvTranspose2D",shaderCache:{hint:`${j.cacheKey};${H}${D}${X}${L}${S}`,inputDependencies:z},getRunData:()=>({dispatchGroup:{x:k[0],y:k[1],z:k[2]},outputs:[{dims:O?O(Z):Z,dataType:$[0].dataType}],programUniforms:A}),getShaderSource:(l)=>{let r=[{name:"output_size",type:"u32"},{name:"strides",type:"u32",length:w.length},{name:"filter_dims",type:"u32",length:T.length},{name:"dilations",type:"u32",length:T.length},{name:"effective_filter_dims",type:"u32",length:E.length},{name:"pads",type:"i32",length:Q.length},{name:"input_channels_per_group_int",type:"u32"},{name:"input_channels_per_group",type:"u32"},{name:"output_channels_per_group",type:"u32"}],e=Z1($[0].dataType),V0=V?1:2,v0=V?2:3,$0=V?3:1,i=O5("W",$[1].dataType,$[1].dims.length,D),G0=O5("Dy",$[0].dataType,$[0].dims.length,H),S0=[G0,i];G&&S0.push(O5("bias",$[2].dataType,[Z[$0]].length,X));let F0=t5("result",$[0].dataType,Z.length,X),s=` + let outputIndices = ${F0.offsetToIndices(`global_idx * ${X}`)}; + let batch = ${F0.indicesGet("outputIndices",0)}; + let d1 = ${F0.indicesGet("outputIndices",$0)}; + let r = ${F0.indicesGet("outputIndices",V0)}; + let c = ${F0.indicesGet("outputIndices",v0)}; + let dyCorner = vec2(i32(r), i32(c)) - uniforms.pads; + let dyRCorner = dyCorner.x; + let dyCCorner = dyCorner.y; + let groupId = d1 / uniforms.output_channels_per_group; + let wOutChannel = d1 - groupId * uniforms.output_channels_per_group; + // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1). + // ? = to be determined. : = across all values in that axis. + var dotProd = ${F0.type.value}(0.0); + var wR: u32 = 0; + if (uniforms.dilations.x == 1) { + // Minimum wR >= 0 that satisfies (dyRCorner + wR) % (uniforms.strides.x) == 0 + wR = u32(((dyRCorner + i32(uniforms.strides.x) - 1) / i32(uniforms.strides.x)) * i32(uniforms.strides.x) - dyRCorner); + } + for (; wR < uniforms.effective_filter_dims.x; wR = wR + 1) { + if (wR % uniforms.dilations.x != 0) { + continue; + } + let dyR = (${e}(dyRCorner) + ${e}(wR)) / ${e}(uniforms.strides[0]); + let wRPerm = uniforms.filter_dims.x - 1 - wR / uniforms.dilations.x; + if (dyR < 0.0 || dyR >= ${e}(uniforms.Dy_shape[${V0}]) || fract(dyR) > 0.0 || + wRPerm < 0) { + continue; + } + let idyR: u32 = u32(dyR); + var wC: u32 = 0; + if (uniforms.dilations.y == 1) { + // Minimum wC >= 0 that satisfies (dyCCorner + wC) % (uniforms.strides.y) == 0 + wC = u32(((dyCCorner + i32(uniforms.strides.y) - 1) / i32(uniforms.strides.y)) * i32(uniforms.strides.y) - dyCCorner); + } + for (; wC < uniforms.effective_filter_dims.y; wC = wC + 1) { + if (wC % uniforms.dilations.y != 0) { + continue; + } + let dyC = (${e}(dyCCorner) + ${e}(wC)) / ${e}(uniforms.strides.y); + let wCPerm = uniforms.filter_dims.y - 1 - wC / uniforms.dilations.y; + if (dyC < 0.0 || dyC >= ${e}(uniforms.Dy_shape[${v0}]) || + fract(dyC) > 0.0 || wCPerm < 0) { + continue; + } + let idyC: u32 = u32(dyC); + var inputChannel = groupId * uniforms.input_channels_per_group; + ${L?` + var x_offset = ${G0.indicesToOffset(`${G0.type.indices}(batch, idyR, idyC, inputChannel)`)} / ${H}; + var w_offset = ${i.indicesToOffset(`${i.type.indices}(wRPerm, wCPerm, inputChannel, wOutChannel)`)} / ${D}; + `:""} + for (var d2: u32 = 0; d2 < uniforms.input_channels_per_group_int; d2 = d2 + ${L?4:H}) { + ${(()=>{let n="";if(L)H===4?n+=` + let xValue = ${G0.getByOffset("x_offset")}; + let wValue = ${i.getByOffset("w_offset")}; + dotProd = dotProd + dot(xValue, wValue); + x_offset += 1u; + w_offset += 1u;`:H===2?n+=` + dotProd = dotProd + dot(vec4<${e}>(${G0.getByOffset("x_offset")}, ${G0.getByOffset("x_offset + 1u")}), vec4<${e}>(${i.getByOffset("w_offset")}, ${i.getByOffset("w_offset + 1u")})); + x_offset += 2u; + w_offset += 2u;`:H===1&&(n+=` + dotProd = dotProd + dot(vec4<${e}>(${G0.getByOffset("x_offset")}, ${G0.getByOffset("x_offset + 1u")}, ${G0.getByOffset("x_offset + 2u")}, ${G0.getByOffset("x_offset + 3u")}), vec4<${e}>(${i.getByOffset("w_offset")}, ${i.getByOffset("w_offset + 1u")}, ${i.getByOffset("w_offset + 2u")}, ${i.getByOffset("w_offset + 3u")})); + x_offset += 4u; + w_offset += 4u;`);else if(n+=` + let xValue = ${V?G0.getByOffset(`${G0.indicesToOffset(`${G0.type.indices}(batch, idyR, idyC, inputChannel)`)} / ${H}`):G0.get("batch","inputChannel","idyR","idyC")}; + `,H===1)n+=` + let w_offset = ${i.indicesToOffset(`${i.type.indices}(u32(wRPerm), u32(wCPerm), inputChannel, wOutChannel)`)}; + let wValue = ${i.getByOffset(`w_offset / ${D}`)}; + dotProd = dotProd + xValue * wValue;`;else for(let R0=0;R0{if(S===0)return"";if(!L)throw Error(`packInputAs4 ${L} is not true.`);let n="";if(H===1){n+="dotProd = dotProd";for(let R0=0;R0{cM(),Z$(),v7(),wY=($,j,O,G,Z,V)=>($-1)*j+O+(G-1)*Z+1-V,EY=($,j,O,G,Z)=>{let V=Math.floor($/2);j==="SAME_UPPER"?(O[G]=V,O[Z]=$-V):j==="SAME_LOWER"&&(O[G]=$-V,O[Z]=V)},QY=($,j,O,G,Z,V,N,J,R,U)=>{let H=$.length-2,L=U.length===0;R.length{let O=$.kernelShape.slice();if($.kernelShape.length===0||$.kernelShape.reduce((L,Y)=>L*Y,1)===0){O.length=0;for(let L=2;LL+Y,0)===0){let L=j[0].dims.length-2;R=Array(L).fill(1)}let U=$.strides.slice();if(U.reduce((L,Y)=>L+Y,0)===0){let L=j[0].dims.length-2;U=Array(L).fill(1)}QY(J,O,R,$.autoPad,$.group,Z,U,G,N,V);let H=Object.assign({},$);return Object.assign(H,{kernelShape:O,pads:Z,outputPadding:N,outputShape:V,dilations:R,strides:U}),H},Ik=($)=>{let j=RR($),O=$.format,G=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][typeof $.autoPad>"u"?0:$.autoPad],Z=$.dilations,V=$.group,N=$.kernelShape,J=$.pads,R=$.strides,U=$.wIsConst();return{autoPad:G,format:O,dilations:Z,group:V,kernelShape:N,outputPadding:$.outputPadding,outputShape:$.outputShape,pads:J,strides:R,wIsConst:U,...j,cacheKey:`${$.format};${j.activation};`}},CY=($,j)=>{if(!$||$.length!==2&&$.length!==3)throw Error("Conv requires 2 or 3 inputs");if($[0].dims.length!==4&&$[0].dims.length!==3)throw Error("currently only support 2-dimensional conv");if($[0].dims.length!==$[1].dims.length)throw Error("filter does not have same dimension as input");if($[0].dims[j.format==="NHWC"?$[0].dims.length-1:1]!==$[1].dims[0])throw Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");let O=$[1].dims[1]*j.group;if($.length===3&&($[2].dims.length!==1||$[2].dims[0]!==O))throw Error("invalid bias");let G=$[0].dims.length-2;if(j.dilations.reduce((Z,V)=>Z+V,0)>0&&j.dilations.length!==G)throw Error(`dilations should be ${G}D`);if(j.strides.reduce((Z,V)=>Z+V,0)>0&&j.strides.length!==G)throw Error(`strides should be ${G}D`);if(j.pads.reduce((Z,V)=>Z+V,0)>0&&j.pads.length!==2*G)throw Error(`pads should be ${2*G}D`);if(j.outputPadding.length!==G&&j.outputPadding.length!==0)throw Error(`output_padding should be ${G}D`);if(j.kernelShape.reduce((Z,V)=>Z+V,0)>0&&j.kernelShape.length!==0&&j.kernelShape.length!==$[1].dims.length-2)throw Error("invalid kernel shape");if(j.outputShape.length!==0&&j.outputShape.length!==$[0].dims.length-2)throw Error("invalid output shape")},_J=($,j,O,G)=>{let Z=$.kernelCustomData.wT??$.compute(X2(j[1],[2,3,0,1]),{inputs:[1],outputs:[O.wIsConst?-2:-1]})[0];O.wIsConst&&!$.kernelCustomData.wT&&($.kernelCustomData.wT=Z);let 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inputs.");let O=l0.normalizeAxis(j.quantizeAxis,$[0].dims.length),G=j.blockSize,Z=$[0],V=$[2],N=$.length===4?$[3]:void 0;if(V.dims.length!==Z.dims.length||!Z.dims.map((J,R)=>R===O?Math.ceil(J/G)===V.dims[R]:J===V.dims[R]).reduce((J,R)=>J&&R,!0))throw Error("Scales must have the same rank as the input tensor and the dims should match except on gatherAxis.");if(N){if(N.dataType!==Z.dataType)throw Error("Zero point must have the same data type as the input tensor.");if(N.dims.length!==V.dims.length||!N.dims.map((J,R)=>J===V.dims[R]).reduce((J,R)=>J&&R,!0))throw Error("Zero point must have the same rank as the input tensor and the dims should match except on quantizeAxis.")}},eY=($,j)=>{let O=$[0].dims,G=$[1].dims,Z=O.length,V=l0.normalizeAxis(j.gatherAxis,Z),N=l0.normalizeAxis(j.quantizeAxis,Z),J=O.slice(0);J.splice(V,1,...G);let R=l0.size(J),U=$[2].dataType,H=$[0].dataType===22,L=[{type:12,data:R},{type:12,data:N},{type:12,data:V},{type:12,data:j.blockSize},...j6(...$.map((Y,S)=>Y.dims),J)];return{name:"GatherBlockQuantized",shaderCache:{hint:`${j.cacheKey};${$.filter((Y,S)=>S!==1).map((Y)=>Y.dims.join("_")).join(";")}`,inputDependencies:Array.from({length:$.length},(Y,S)=>"rank")},getRunData:()=>({outputs:[{dims:J,dataType:U}],dispatchGroup:{x:Math.ceil(R/64)},programUniforms:L}),getShaderSource:(Y)=>{let S=O5("data",$[0].dataType,$[0].dims.length),X=O5("inputIndices",$[1].dataType,$[1].dims.length),D=O5("scales",$[2].dataType,$[2].dims.length),I=$.length>3?O5("zeroPoint",$[3].dataType,$[3].dims.length):void 0,k=t5("output",U,J.length),z=[S,X,D];return I&&z.push(I),` + ${Y.registerUniforms([{name:"output_size",type:"u32"},{name:"quantize_axis",type:"u32"},{name:"gather_axis",type:"u32"},{name:"block_size",type:"u32"}]).declareVariables(...z,k)} + ${Y.mainStart()} + let output_indices = ${k.offsetToIndices("global_idx")}; + var indices_indices = ${X.type.indices}(0); + ${G.length>1?` + for (var i: u32 = 0; i < ${G.length}; i++) { + let index = ${k.indicesGet("output_indices","uniforms.gather_axis + i")}; + ${X.indicesSet("indices_indices","i","index")}; + }`:`indices_indices = ${k.indicesGet("output_indices","uniforms.gather_axis")};`}; + var data_indices = ${S.type.indices}(0); + for (var i: u32 = 0; i < uniforms.gather_axis; i++) { + let index = ${k.indicesGet("output_indices","i")}; + ${S.indicesSet("data_indices","i","index")}; + } + var index_from_indices = ${X.getByIndices("indices_indices")}; + if (index_from_indices < 0) { + index_from_indices += ${O[V]}; + } + ${S.indicesSet("data_indices","uniforms.gather_axis","u32(index_from_indices)")}; + for (var i = uniforms.gather_axis + 1; i < ${J.length}; i++) { + let index = ${k.indicesGet("output_indices",`i + ${G.length} - 1`)}; + ${S.indicesSet("data_indices","i","index")}; + } + let data_offset = ${S.indicesToOffset("data_indices")}; + let data_index = data_offset % 8; + // Convert 4-bit packed data to 8-bit packed data. + let packed_4bit_quantized_data = ${S.getByOffset("data_offset / 8")}; + let packed_8bit_quantized_data = (packed_4bit_quantized_data >> (4 * (data_index % 2))) & 0x0f0f0f0f; + let quantized_data_vec = ${H?"unpack4xI8":"unpack4xU8"}(u32(packed_8bit_quantized_data)); + let quantized_data = quantized_data_vec[data_index / 2]; + var scale_indices = data_indices; + let quantize_axis_index = ${D.indicesGet("data_indices","uniforms.quantize_axis")} / uniforms.block_size; + ${D.indicesSet("scale_indices","uniforms.quantize_axis","quantize_axis_index")}; + var scale = ${D.getByIndices("scale_indices")}; + ${I?` + let zero_point_indices = scale_indices; + let zero_point_offset = ${I.indicesToOffset("zero_point_indices")}; + let zero_point_index = zero_point_offset % 8; + let packed_4bit_zero_points = ${I.getByOffset("zero_point_offset / 8")}; + let packed_8bit_zero_points = (packed_4bit_zero_points >> (4 * (zero_point_index % 2))) & 0x0f0f0f0f; + let zero_point_vec = ${H?"unpack4xI8":"unpack4xU8"}(u32(packed_8bit_zero_points)); + let zero_point = zero_point_vec[zero_point_index / 2];`:"var zero_point = 0"}; + let dequantized_data = ${k1(U)}(quantized_data - zero_point) * scale; + ${k.setByOffset("global_idx","dequantized_data")}; + }`}}},mk=($,j)=>{let O=$.inputs;tY(O,j),$.compute(eY($.inputs,j))},pk=($)=>j9({blockSize:$.blockSize,gatherAxis:$.gatherAxis,quantizeAxis:$.quantizeAxis})}),iM=I5(()=>{Y6(),D6(),B9(),M6(),$S=($)=>{if(!$||$.length!==2)throw Error("GatherElements requires 2 inputs.");if($[0].dims.length<1)throw Error("GatherElements requires that the data input be rank >= 1.");if($[0].dims.length!==$[1].dims.length)throw Error(`GatherElements requires that the data input and + indices input tensors be of same rank.`)},jS=($,j)=>{let O=$[0].dims,G=$[0].dataType,Z=O.length,V=$[1].dims,N=$[1].dataType,J=l0.normalizeAxis(j.axis,Z),R=O[J],U=V.slice(0),H=l0.size(U),L=O5("input",G,Z),Y=O5("indicesInput",N,V.length),S=t5("output",G,U.length),X=[{type:12,data:H},{type:6,data:R},{type:12,data:J}];return X.push(...j6(O,V,U)),{name:"GatherElements",shaderCache:{inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:U,dataType:$[0].dataType}],dispatchGroup:{x:Math.ceil(H/64)},programUniforms:X}),getShaderSource:(D)=>` + ${D.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(L,Y,S)} + ${D.mainStart()} + ${D.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + + let outputIndices = ${S.offsetToIndices("global_idx")}; + + var idx = ${Y.getByOffset("global_idx")}; + if (idx < 0) { + idx = idx + uniforms.axisDimLimit; + } + var inputIndices = ${L.type.indices}(outputIndices); + ${L.indicesSet("inputIndices","uniforms.axis","u32(idx)")}; + let value = ${L.getByIndices("inputIndices")}; + + ${S.setByOffset("global_idx","value")}; + }`}},Ak=($)=>j9({axis:$.axis}),gk=($,j)=>{let O=$.inputs;$S(O),$.compute(jS($.inputs,j))}}),aM=I5(()=>{Y6(),D6(),M6(),OS=($)=>{if(!$)throw Error("Input is missing");if($.length<2||$.length>3)throw Error("Invaid input number.");if($.length===3&&$[2].dims.length>2)throw Error("Invalid input shape of C");if($[0].dataType!==$[1].dataType||$.length===3&&$[0].dataType!==$[2].dataType)throw Error("Input types are mismatched")},GS=($,j)=>{let O=$[0].dims.slice(),G=$[1].dims.slice(),[Z,V,N]=gy.getShapeOfGemmResult(O,j.transA,G,j.transB,$.length===3?$[2].dims:void 0),J=[Z,V];if(!J)throw Error("Can't use gemm on the given tensors");let R=16,U=Math.ceil(V/R),H=Math.ceil(Z/R),L=(l0.size(J),[{type:12,data:U},{type:12,data:Z},{type:12,data:V},{type:12,data:N},{type:1,data:j.alpha},{type:1,data:j.beta}]),Y=["type","type"];return $.length===3&&(L.push(...j6($[2].dims)),Y.push("rank")),L.push(...j6(J)),{name:"GemmShared",shaderCache:{hint:`${j.cacheKey}`,inputDependencies:Y},getRunData:()=>({outputs:[{dims:J,dataType:$[0].dataType}],dispatchGroup:{x:U*H},programUniforms:L}),getShaderSource:(S)=>{let X=O5("a",$[0].dataType,$[0].dims),D=O5("b",$[1].dataType,$[1].dims),I=null,k=[X,D];$.length===3&&(I=O5("c",$[2].dataType,$[2].dims.length),k.push(I));let z=t5("output",$[0].dataType,J.length);k.push(z);let w="",T="";j.transA&&j.transB?(T=` + var col = tile_row_start + local_id.x; + var row = k_start + local_id.y; + if (col < uniforms.M && row < uniforms.K) { + tile_a[local_id.y][local_id.x] = a[row * uniforms.M + col]; + } else { + tile_a[local_id.y][local_id.x] = ${X.type.value}(0); + } + + col = k_start + local_id.x; + row = tile_col_start + local_id.y; + if (col < uniforms.K && row < uniforms.N) { + tile_b[local_id.y][local_id.x] = b[row * uniforms.K + col]; + } else { + tile_b[local_id.y][local_id.x] = ${D.type.value}(0); + } + `,w="value += tile_a[k][local_id.y] * tile_b[local_id.x][k];"):j.transA&&!j.transB?(T=` + var col = tile_row_start + local_id.x; + var row = k_start + local_id.y; + if (col < uniforms.M && row < uniforms.K) { + tile_a[local_id.y][local_id.x] = a[row * uniforms.M + col]; + } else { + tile_a[local_id.y][local_id.x] = ${X.type.value}(0); + } + + col = tile_col_start + local_id.x; + row = k_start + local_id.y; + if (col < uniforms.N && row < uniforms.K) { + tile_b[local_id.y][local_id.x] = b[row * uniforms.N + col]; + } else { + tile_b[local_id.y][local_id.x] = ${D.type.value}(0); + } + `,w="value += tile_a[k][local_id.y] * tile_b[k][local_id.x];"):!j.transA&&j.transB?(T=` + var col = k_start + local_id.x; + var row = tile_row_start + local_id.y; + if (col < uniforms.K && row < uniforms.M) { + tile_a[local_id.y][local_id.x] = a[row * uniforms.K + col]; + } else { + tile_a[local_id.y][local_id.x] = ${X.type.value}(0); + } + + col = k_start + local_id.x; + row = tile_col_start + local_id.y; + if (col < uniforms.K && row < uniforms.N) { + tile_b[local_id.y][local_id.x] = b[row * uniforms.K + col]; + } else { + tile_b[local_id.y][local_id.x] = ${D.type.value}(0); + } + `,w="value += tile_a[local_id.y][k] * tile_b[local_id.x][k];"):!j.transA&&!j.transB&&(T=` + var col = k_start + local_id.x; + var row = tile_row_start + local_id.y; + if (col < uniforms.K && row < uniforms.M) { + tile_a[local_id.y][local_id.x] = a[row * uniforms.K + col]; + } else { + tile_a[local_id.y][local_id.x] = ${X.type.value}(0); + } + + col = tile_col_start + local_id.x; + row = k_start + local_id.y; + if (col < uniforms.N && row < uniforms.K) { + tile_b[local_id.y][local_id.x] = b[row * uniforms.N + col]; + } else { + tile_b[local_id.y][local_id.x] = ${D.type.value}(0); + } + `,w="value += tile_a[local_id.y][k] * tile_b[k][local_id.x];");let W=j.alpha===1?"":"value *= uniforms.alpha;";return` + ${S.registerUniforms([{name:"num_tile_n",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"},{name:"alpha",type:"f32"},{name:"beta",type:"f32"}]).declareVariables(...k)} + var tile_a: array, 16>; + var tile_b: array, 16>; + ${S.mainStart([R,R,1])} + let tile_col_start = (workgroup_index % uniforms.num_tile_n) * 16; + let tile_row_start = (workgroup_index / uniforms.num_tile_n) * 16; + let num_tiles = (uniforms.K - 1) / 16 + 1; + var k_start = 0u; + var value = ${z.type.value}(0); + for (var t: u32 = 0u; t < num_tiles; t++) { + ${T} + k_start = k_start + 16; + workgroupBarrier(); + + for (var k: u32 = 0u; k < 16; k++) { + ${w} + } + workgroupBarrier(); + } + + ${W} + let m = tile_row_start + local_id.y; + let n = tile_col_start + local_id.x; + ${I!=null?`let cOffset = ${I.broadcastedIndicesToOffset("vec2(m, n)",z)}; value += ${z.type.value}(uniforms.beta) * ${I.getByOffset("cOffset")};`:""} + if (m < uniforms.M && n < uniforms.N) { + output[m * uniforms.N + n] = value; + } + }`}}},uk=($)=>({transA:$.transA,transB:$.transB,alpha:$.alpha,beta:$.beta,cacheKey:`${$.transA};${$.transB};${$.alpha===1}`}),dk=($,j)=>{OS($.inputs),$.compute(GS($.inputs,j))}}),rM=I5(()=>{Y6(),D6(),B9(),M6(),[O4,F4,c8,m8]=[0,1,2,3],ZS=($)=>{if($[0].dims.length!==4)throw Error("only 4-D tensor is supported.");if($[0].dims.length!==$[1].dims.length)throw Error("input dimensions must be equal to grid dimensions");if($[0].dims.length-2!==$[1].dims[$[1].dims.length-1])throw Error("last dimension of grid must be equal to "+($[0].dims.length-2));if($[0].dims[0]!==$[1].dims[0])throw Error("grid batch size must match input batch size")},qS=($)=>` + fn gs_bicubic_interpolate(p: mat4x4<${$}>, x: f32, y: f32) -> ${$} { + var v: vec4; + var coeffs = gs_get_cubic_coeffs(x); + for (var i = 0; i < 4; i++) { + v[i] = coeffs[0] * p[i][0] + coeffs[1] * p[i][1] + coeffs[2] * p[i][2] + coeffs[3] * p[i][3]; + } + coeffs = gs_get_cubic_coeffs(y); + let pixel = ${$}(coeffs[0] * v[0] + coeffs[1] * v[1] + coeffs[2] * v[2] + coeffs[3] * v[3]); + return pixel; + } +`,VS=($)=>` + fn gs_denormalize(n: f32, length: i32) -> f32 { + ${$.alignCorners===0?` + // alignCorners: false => [-1, 1] to [-0.5, length - 0.5] + return ((n + 1.0) * f32(length) - 1.0) / 2.0; + `:` + // alignCorners: true => [-1, 1] to [0, length - 1] + return (n + 1.0) / 2.0 * (f32(length - 1)); + `} + } +`,NS=($)=>` + ${$.paddingMode==="reflection"?` + fn gs_reflect(x: i32, x_min: f32, x_max: f32) -> u32 { + var dx = 0.0; + var fx = f32(x); + let range = x_max - x_min; + if (fx < x_min) { + dx = x_min - fx; + let n = u32(dx / range); + let r = dx - f32(n) * range; + if (n % 2 == 0) { + fx = x_min + r; + } else { + fx = x_max - r; + } + } else if (fx > x_max) { + dx = fx - x_max; + let n = u32(dx / range); + let r = dx - f32(n) * range; + if (n % 2 == 0) { + fx = x_max - r; + } else { + fx = x_min + r; + } + } + return u32(fx); + }`:""} +`,JS=($,j,O)=>` + fn pixel_at_grid(r: i32, c: i32, H: i32, W: i32, batch: u32, channel: u32, border: vec4) -> ${j} { + var pixel = ${j}(0); + var indices = vec4(0); + indices[${O4}] = batch; + indices[${F4}] = channel;`+(()=>{switch(O.paddingMode){case"zeros":return` + if (r >= 0 && r < H && c >=0 && c < W) { + indices[${c8}] = u32(r); + indices[${m8}] = u32(c); + } else { + return ${j}(0); + } + `;case"border":return` + indices[${c8}] = u32(clamp(r, 0, H - 1)); + indices[${m8}] = u32(clamp(c, 0, W - 1)); + `;case"reflection":return` + indices[${c8}] = gs_reflect(r, border[1], border[3]); + indices[${m8}] = gs_reflect(c, border[0], border[2]); + `;default:throw Error(`padding mode ${O.paddingMode} is not supported`)}})()+` + return ${$.getByIndices("indices")}; + } +`,vS=($,j,O)=>(()=>{switch(O.mode){case"nearest":return` + let result = pixel_at_grid(i32(round(y)), i32(round(x)), H_in, W_in, indices[${O4}], indices[${F4}], border); + `;case"bilinear":return` + let x1 = i32(floor(x)); + let y1 = i32(floor(y)); + let x2 = x1 + 1; + let y2 = y1 + 1; + + let p11 = pixel_at_grid(y1, x1, H_in, W_in, indices[${O4}], indices[${F4}], border); + let p12 = pixel_at_grid(y1, x2, H_in, W_in, indices[${O4}], indices[${F4}], border); + let p21 = pixel_at_grid(y2, x1, H_in, W_in, indices[${O4}], indices[${F4}], border); + let p22 = pixel_at_grid(y2, x2, H_in, W_in, indices[${O4}], indices[${F4}], border); + + let dx2 = ${j}(f32(x2) - x); + let dx1 = ${j}(x - f32(x1)); + let dy2 = ${j}(f32(y2) - y); + let dy1 = ${j}(y - f32(y1)); + let result = dy2 * (dx2 * p11 + dx1 * p12) + dy1 * (dx2 * p21 + dx1 * p22); + `;case"bicubic":return` + let x0 = i32(floor(x)) - 1; + let y0 = i32(floor(y)) - 1; + var p: mat4x4<${j}>; + for (var h = 0; h < 4; h++) { + for (var w = 0; w < 4; w++) { + p[h][w] = pixel_at_grid(h + y0, w + x0, H_in, W_in, indices[${O4}], indices[${F4}], border); + } + } + + let dx = x - f32(x0 + 1); + let dy = y - f32(y0 + 1); + let result = gs_bicubic_interpolate(p, dx, dy); + `;default:throw Error(`mode ${O.mode} is not supported`)}})()+`${$.setByOffset("global_idx","result")}`,RS=($,j)=>{let O=O5("x",$[0].dataType,$[0].dims.length),G=[$[1].dims[0],$[1].dims[1],$[1].dims[2]],Z=O5("grid",$[1].dataType,G.length,2),V=[$[0].dims[0],$[0].dims[1],$[1].dims[1],$[1].dims[2]];j.format==="NHWC"&&(V=[$[0].dims[0],$[1].dims[1],$[1].dims[2],$[0].dims[3]],[O4,F4,c8,m8]=[0,3,1,2]);let N=t5("output",$[0].dataType,V.length),J=O.type.value,R=[{type:12,data:l0.size(V)},...j6($[0].dims,G,V)];return{name:"GridSample",shaderCache:{hint:`${j.cacheKey}`,inputDependencies:["type","type"]},getRunData:(U)=>{let H=l0.size(V);return{outputs:[{dims:V,dataType:U[0].dataType}],dispatchGroup:{x:Math.ceil(H/64)},programUniforms:R}},getShaderSource:(U)=>` + ${U.registerUniform("output_size","u32").declareVariables(O,Z,N)} + + fn gs_get_cubic_coeffs(x: f32) -> vec4 { + let cubic_alpha = -0.75f; + let x_abs = abs(x); + var coeffs: vec4; + coeffs[0] = (((cubic_alpha * (x_abs + 1) - 5 * cubic_alpha) * (x_abs + 1) + 8 * cubic_alpha) * (x_abs + 1) - 4 * cubic_alpha); + coeffs[1] = (((cubic_alpha + 2) * x_abs - (cubic_alpha + 3)) * x_abs * x_abs + 1); + coeffs[2] = (((cubic_alpha + 2) * (1 - x_abs) - (cubic_alpha + 3)) * (1 - x_abs) * (1 - x_abs) + 1); + coeffs[3] = (((cubic_alpha * (2 - x_abs) - 5 * cubic_alpha) * (2 - x_abs) + 8 * cubic_alpha) * (2 - x_abs) - 4 * cubic_alpha); + return coeffs; + } + + ${qS(J)} + ${VS(j)} + ${NS(j)} + ${JS(O,J,j)} + + ${U.mainStart()} + ${U.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let H_in = i32(uniforms.x_shape[${c8}]); + let W_in = i32(uniforms.x_shape[${m8}]); + + ${j.alignCorners===0?` + let x_min = -0.5; + let x_max = f32(W_in) - 0.5; + let y_min = -0.5; + let y_max = f32(H_in) - 0.5; + `:` + let x_min = 0.0; + let x_max = f32(W_in) - 1.0; + let y_min = 0.0; + let y_max = f32(H_in) - 1.0; + `}; + let border = vec4(x_min, y_min, x_max, y_max); + + let indices = ${N.offsetToIndices("global_idx")}; + var grid_indices = vec3(indices[${O4}], indices[${c8}], indices[${m8}]); + let nxy = ${Z.getByIndices("grid_indices")}; + var x = gs_denormalize(f32(nxy[0]), W_in); + var y = gs_denormalize(f32(nxy[1]), H_in); + + ${vS(N,J,j)} + }`}},lk=($,j)=>{ZS($.inputs),$.compute(RS($.inputs,j))},ok=($)=>j9({alignCorners:$.align_corners,mode:$.mode,paddingMode:$.padding_mode,format:$.format})}),fI=I5(()=>{Y6(),D6(),B9(),LR(),YR(),M6(),v7(),m1=($,j)=>$.length>j&&$[j].dims.length>0?$[j]:void 0,US=($,j)=>{let O=$[0],G=m1($,1),Z=m1($,2),V=m1($,3),N=m1($,4),J=m1($,5),R=m1($,6),U=m1($,7);if(O.dims.length!==3&&O.dims.length!==5)throw Error("Input query is expected to have 3 or 5 dimensions");let H,L=O.dims[0],Y=O.dims[1],S=O.dims.length===3?O.dims[2]:j.numHeads*O.dims[4],X=Y,D=0,I=0,k=Math.floor(S/j.numHeads);if(R&&U&&l0.size(R.dims)&&l0.size(U.dims)){if(R.dims.length!==4)throw Error('Input "past_key" is expected to have 4 dimensions');if(R.dims[0]!==L||R.dims[1]!==j.numHeads||R.dims[3]!==k)throw Error('Input "past_key" shape (batch_size, num_heads, past_sequence_length, head_size)');if(U.dims[0]!==L||U.dims[1]!==j.numHeads||U.dims[3]!==k)throw Error('Input "past_value" shape (batch_size, num_heads, past_sequence_length, head_size)');if(R.dims[2]!==U.dims[2])throw Error('Input "past_key" and "past_value" shall have same dim 2 (past_sequence_length)');if(U.dims.length!==4)throw Error('Input "past_value" is expected to have 4 dimensions');D=R.dims[2],I=R.dims[2]}else if(R&&l0.size(R.dims)||U&&l0.size(U.dims))throw Error('Input "past_key" and "past_value" shall be both present or both absent');if(G&&l0.size(G.dims)>0){if(O.dims.length!==3)throw Error('Input "query" is expected to have 3 dimensions when key is given');if(G.dims.length<3||G.dims.length>5)throw Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(O.dims[0]!==G.dims[0])throw Error('Input "query" and "key" shall have same dim 0 (batch size)');if(G.dims.length===3){if(G.dims[2]!==O.dims[2])throw Error('Input "query" and "key" shall have same dim 2 (hidden_size)');H=2,X=G.dims[1]}else if(G.dims.length===5){if(G.dims[2]!==j.numHeads||G.dims[3]!==2||G.dims[4]!==k)throw Error('Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(Z)throw Error('Expect "value" be none when "key" has packed kv format.');H=5,X=G.dims[1]}else{if(G.dims[1]!==j.numHeads||G.dims[3]!==k)throw Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');H=0,X=G.dims[2]}}else{if(O.dims.length!==5)throw Error('Input "query" is expected to have 5 dimensions when key is empty');if(O.dims[2]!==j.numHeads||O.dims[3]!==3)throw Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');H=3}if(V&&l0.size(V.dims)>0){if(V.dims.length!==1)throw Error('Input "bias" is expected to have 1 dimension');if(G&&G.dims.length===5&&G.dims[3]===2)throw Error("bias is not allowed for packed kv.")}let z=D+X,w=0;if(N&&l0.size(N.dims)>0){w=8;let E=N.dims;throw E.length===1?E[0]===L?w=1:E[0]===3*L+2&&(w=3):E.length===2&&E[0]===L&&E[1]===z&&(w=5),w===8?Error('Input "key_padding_mask" shape shall be (batch_size) or (batch_size, total_sequence_length)'):Error("Mask not supported")}let T=!1,W=S;if(Z&&l0.size(Z.dims)>0){if(Z.dims.length!==3&&Z.dims.length!==4)throw Error('Input "value" is expected to have 3 or 4 dimensions');if(O.dims[0]!==Z.dims[0])throw Error('Input "query" and "value" shall have same dim 0 (batch_size)');if(Z.dims.length===3){if(X!==Z.dims[1])throw Error('Input "key" and "value" shall have the same dim 1 (kv_sequence_length)');W=Z.dims[2]}else{if(X!==Z.dims[2])throw Error('Input "key" and "value" shall have the same dim 2 (kv_sequence_length)');W=Z.dims[1]*Z.dims[3],T=!0}}if(N&&l0.size(N.dims)>0)throw Error("Key padding mask is not supported");if(J&&l0.size(J.dims)>0){if(J.dims.length!==4)throw Error('Input "attention_bias" is expected to have 4 dimensions');if(J.dims[0]!==L||J.dims[1]!==j.numHeads||J.dims[2]!==Y||J.dims[3]!==z)throw Error('Expect "attention_bias" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:L,sequenceLength:Y,pastSequenceLength:D,kvSequenceLength:X,totalSequenceLength:z,maxSequenceLength:I,inputHiddenSize:0,hiddenSize:S,vHiddenSize:W,headSize:k,vHeadSize:Math.floor(W/j.numHeads),numHeads:j.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:j.maskFilterValue,maskType:w,scale:j.scale,broadcastResPosBias:!1,passPastInKv:T,qkvFormat:H}},sk=($)=>j9({...$}),TJ=j9({perm:[0,2,1,3]}),HS=($,j,O,G,Z,V,N)=>{let J=[G,Z,V],R=l0.size(J),U=[{type:12,data:R},{type:12,data:N},{type:12,data:V}];return $.compute({name:"MultiHeadAttentionAddBias",shaderCache:{inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:J,dataType:j.dataType,gpuDataType:0}],dispatchGroup:{x:Math.ceil(R/64)},programUniforms:U}),getShaderSource:(H)=>{let L=t5("qkv_with_bias",j.dataType,J),Y=O5("qkv",j.dataType,J),S=O5("bias",O.dataType,J);return` + ${H.registerUniforms([{name:"output_size",type:"u32"},{name:"bias_offset",type:"u32"},{name:"hidden_size",type:"u32"}]).declareVariables(Y,S,L)} + ${H.mainStart()} + ${H.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let bias_offset_idx = (global_idx % uniforms.hidden_size) + uniforms.bias_offset; + + qkv_with_bias[global_idx] = qkv[global_idx] + bias[bias_offset_idx]; + }`}},{inputs:[j,O],outputs:[-1]})[0]},QZ=($,j,O,G,Z,V,N,J)=>{let R=V;if(N&&l0.size(N.dims)>0){if(G===1)throw Error("AddBiasReshape is not implemented. Please export your model with packed QKV or KV");return R=HS($,V,N,j,G,O*Z,J),R=R.reshape([j,G,O,Z]),O===1||G===1?R:$.compute(X2(R,TJ.perm),{inputs:[R],outputs:[-1]})[0]}return V.dims.length===3&&(R=V.reshape([j,G,O,Z])),O===1||G===1?R:$.compute(X2(R,TJ.perm),{inputs:[R],outputs:[-1]})[0]},ik=($,j)=>{let O=US($.inputs,j),G=$.inputs[0],Z=m1($.inputs,1),V=m1($.inputs,2),N=m1($.inputs,3),J=m1($.inputs,4),R=m1($.inputs,5),U=m1($.inputs,6),H=m1($.inputs,7);if(G.dims.length===5)throw Error("Packed QKV is not implemented");if(Z?.dims.length===5)throw Error("Packed KV is not implemented");let L=Z&&V&&Z.dims.length===4&&V.dims.length===4,Y=QZ($,O.batchSize,O.numHeads,O.sequenceLength,O.headSize,G,N,0);if(L)return gZ($,Y,Z,V,J,void 0,U,H,R,O);if(!Z||!V)throw Error("key and value must be provided");let S=QZ($,O.batchSize,O.numHeads,O.kvSequenceLength,O.headSize,Z,N,O.hiddenSize),X=QZ($,O.batchSize,O.numHeads,O.kvSequenceLength,O.vHeadSize,V,N,2*O.hiddenSize);gZ($,Y,S,X,J,void 0,U,H,R,O)}}),wI=I5(()=>{Y6(),D6(),B9(),M6(),xS=($)=>{if(!$||$.length<1)throw Error("too few inputs")},LS=($,j)=>{let O=[],G=j.numOutputs;return $[1].dims[0]>0&&($[1].getBigInt64Array().forEach((Z)=>O.push(Number(Z))),G=O.length),j9({numOutputs:G,axis:j.axis,splitSizes:O})},_S=($)=>` +fn calculateOutputIndex(index: u32) -> u32 { + for (var i: u32 = 0u; i < ${$}u; i += 1u ) { + if (index < ${R6("uniforms.size_in_split_axis","i",$)}) { + return i; + } + } + return ${$}u; +}`,YS=($)=>{let j=$.length,O=[];for(let G=0;G{let O=$[0].dims,G=l0.size(O),Z=$[0].dataType,V=l0.normalizeAxis(j.axis,O.length),N=Array(j.numOutputs),J=O5("input",Z,O.length),R=Array(j.numOutputs),U=[],H=[],L=0,Y=[{type:12,data:G}];for(let S=0;S` + ${S.registerUniform("input_size","u32").registerUniform("size_in_split_axis","u32",R.length).declareVariables(J,...N)} + ${_S(R.length)} + ${YS(N)} + + ${S.mainStart()} + ${S.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.input_size")} + + var indices = ${J.offsetToIndices("global_idx")}; + var index = ${J.indicesGet("indices",V)}; + let output_number = calculateOutputIndex(index); + if (output_number != 0) { + index -= ${R6("uniforms.size_in_split_axis","output_number - 1u",R.length)}; + ${J.indicesSet("indices",V,"index")}; + } + writeBufferData(output_number, indices, global_idx); + }`,getRunData:()=>({outputs:U,dispatchGroup:{x:Math.ceil(G/64)},programUniforms:Y})}},ak=($,j)=>{xS($.inputs);let O=$.inputs.length===1?j:LS($.inputs,j);$.compute(yv($.inputs,O),{inputs:[0]})},rk=($)=>{let{axis:j,splitSizes:O}=$,G=$.numOutputs<0?O.length:$.numOutputs;if(G!==O.length)throw Error("numOutputs and splitSizes lengh must be equal");return j9({axis:j,numOutputs:G,splitSizes:O})}}),EI=I5(()=>{Y6(),D6(),B9(),M6(),SS=($,j)=>{let[O,G,Z,V]=$,{numHeads:N,rotaryEmbeddingDim:J}=j;if(O.dims.length!==3&&O.dims.length!==4)throw Error(`Input 'x' is expected to have 3 or 4 dimensions, got ${O.dims.length}`);if(!l0.areEqual(G.dims,[])&&!l0.areEqual(G.dims,[1])&&G.dims.length!==2)throw Error(`Input 'position_ids' is expected to have 0, 1, or 2 dimensions, got ${G.dims.length}`);if(Z.dims.length!==2)throw Error(`Input 'cos_cache' is expected to have 2 dimensions, got ${Z.dims.length}`);if(V.dims.length!==2)throw Error(`Input 'sin_cache' is expected to have 2 dimensions, got ${V.dims.length}`);if(!l0.areEqual(Z.dims,V.dims))throw Error("Inputs 'cos_cache' and 'sin_cache' are expected to have the same shape");if(J>0&&N===0)throw Error("num_heads must be provided if rotary_embedding_dim is specified");let R=O.dims[0],U=O.dims[O.dims.length-2],H=Z.dims[0],L=l0.sizeFromDimension(O.dims,1)/U,Y=J===0?2*Z.dims[1]:L/N;if(J>Y)throw Error("rotary_embedding_dim must be less than or equal to head_size");if(G.dims.length===2){if(R!==G.dims[0])throw Error(`Input 'position_ids' dimension 0 should be of size batch_size, got ${G.dims[0]}`);if(U!==G.dims[1])throw Error(`Input 'position_ids' dimension 1 should be of size sequence_length, got ${G.dims[1]}`)}if(Y/2!==Z.dims[1]&&J/2!==Z.dims[1])throw Error(`Input 'cos_cache' dimension 1 should be same as head_size / 2 or rotary_embedding_dim / 2, got ${Z.dims[1]}`);if(U>H)throw Error("Updating cos_cache and sin_cache in RotaryEmbedding is not currently supported")},SV=($,j)=>{let{interleaved:O,numHeads:G,rotaryEmbeddingDim:Z,scale:V}=j,N=$[0].dims[0],J=l0.sizeFromDimension($[0].dims,1),R=$[0].dims[$[0].dims.length-2],U=J/R,H=$[2].dims[1],L=Z===0?2*H:U/G,Y=[N,R,U/L,L-H],S=l0.computeStrides(Y),X=[{type:1,data:V},{type:12,data:Y},{type:12,data:S},...$[0].dims.length===3?[{type:12,data:[J,U,L,1]}]:[],...$[0].dims.length===4?[{type:12,data:[J,L,R*L,1]}]:[],...j6($[0].dims,$[1].dims,$[2].dims,$[3].dims,$[0].dims)];return{name:"RotaryEmbedding",shaderCache:{hint:j9({interleaved:O}).cacheKey,inputDependencies:["rank","rank","rank","rank"]},getShaderSource:(D)=>{let I=O5("input",$[0].dataType,$[0].dims.length),k=O5("position_ids",$[1].dataType,$[1].dims.length),z=O5("cos_cache",$[2].dataType,$[2].dims.length),w=O5("sin_cache",$[3].dataType,$[3].dims.length),T=t5("output",$[0].dataType,$[0].dims.length);return D.registerUniforms([{name:"scale",type:"f32"},{name:"global_shape",type:"u32",length:Y.length},{name:"global_strides",type:"u32",length:S.length},{name:"input_output_strides",type:"u32",length:S.length}]),` + ${D.declareVariables(I,k,z,w,T)} + + ${D.mainStart(DG)} + let half_rotary_emb_dim = uniforms.${z.name}_shape[1]; + let bsnh = global_idx / uniforms.global_strides % uniforms.global_shape; + let size = uniforms.global_shape[0] * uniforms.global_strides[0]; + ${D.guardAgainstOutOfBoundsWorkgroupSizes("size")} + + if (bsnh[3] < half_rotary_emb_dim) { + let position_ids_idx = + ${k.broadcastedIndicesToOffset("bsnh.xy",t5("",k.type.tensor,2))}; + let position_id = + u32(${k.getByOffset("position_ids_idx")}) + select(0, bsnh[1], position_ids_idx == 0); + let i = dot(bsnh, uniforms.input_output_strides) + select(0, bsnh[3], ${O}); + let j = i + select(half_rotary_emb_dim, 1, ${O}); + let re = ${I.getByOffset("i")} * ${z.get("position_id","bsnh[3]")} - + ${I.getByOffset("j")} * ${w.get("position_id","bsnh[3]")}; + ${T.setByOffset("i","re")} + let im = ${I.getByOffset("i")} * ${w.get("position_id","bsnh[3]")} + + ${I.getByOffset("j")} * ${z.get("position_id","bsnh[3]")}; + ${T.setByOffset("j","im")} + } else { + let k = dot(bsnh, uniforms.input_output_strides) + half_rotary_emb_dim; + ${T.setByOffset("k",I.getByOffset("k"))} + } + }`},getRunData:()=>({outputs:[{dims:$[0].dims,dataType:$[0].dataType}],dispatchGroup:{x:Math.ceil(l0.size(Y)/DG)},programUniforms:X})}},nk=($,j)=>{SS($.inputs,j),$.compute(SV($.inputs,j))}}),nM=I5(()=>{B9(),Y6(),YR(),fI(),wI(),v7(),EI(),M6(),PS=($,j)=>{if(j.doRotary&&$.length<=7)throw Error("cos_cache and sin_cache inputs are required if do_rotary is specified");let O=$[0],G=$[1],Z=$[2],V=$[3],N=$[4];if(j.doRotary!==0&&$.length<=7)throw Error("cos_cast and sin_cache are expected if do_rotary attribute is non-zero");if(j.localWindowSize!==-1)throw Error("Local attention is not supported");if(j.softcap!==0)throw Error("Softcap is not supported");if(j.rotaryInterleaved!==0)throw Error("Rotary interleaved is not supported");if(j.smoothSoftmax)throw Error("Smooth softmax is not supported");if(O.dims.length!==3&&O.dims.length!==5)throw Error("Input query is expected to have 3 or 5 dimensions");let J=O.dims[0],R=O.dims[1],U=O.dims.length===3?O.dims[2]:j.numHeads*O.dims[4],H=R,L=0,Y=!G||G.dims.length===0,S=Math.floor(Y?U/(j.numHeads+2*j.kvNumHeads):U/j.numHeads);Y&&(U=S*j.numHeads);let X=V&&V.dims.length!==0,D=N&&N.dims.length!==0;if(X&&V.dims.length===4&&V.dims[0]===J&&V.dims[1]!==j.kvNumHeads&&V.dims[2]===j.kvNumHeads&&V.dims[3]===S)throw Error("BSNH pastKey/pastValue is not supported");if(X&&D){if(V.dims.length!==4)throw Error('Input "past_key" is expected to have 4 dimensions');if(N.dims.length!==4)throw Error('Input "past_value" is expected to have 4 dimensions');L=V.dims[2]}else if(X||D)throw Error('Input "past_key" and "past_value" shall be both present or both absent');let I=1;if(G&&G.dims.length>0){if(O.dims.length!==3)throw Error('Input "query" is expected to have 3 dimensions when key is given');if(G.dims.length<3||G.dims.length>5)throw Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(O.dims[0]!==G.dims[0])throw Error('Input "query" and "key" shall have same dim 0 (batch size)');if(G.dims.length===3){if(O.dims[2]%G.dims[2]!==0)throw Error('Dimension 2 of "query" should be a multiple of "key"');H=G.dims[1]}else if(G.dims.length===5){if(G.dims[2]!==j.numHeads||G.dims[3]!==2||G.dims[4]!==S)throw Error('Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(Z)throw Error('Expect "value" be none when "key" has packed kv format.');H=G.dims[1]}else{if(G.dims[1]!==j.numHeads||G.dims[3]!==S)throw Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');H=G.dims[2]}}else{if(O.dims.length!==3&&O.dims.length!==5)throw Error('Input "query" is expected to have 3 or 5 dimensions when key is empty');if(O.dims.length===5&&(O.dims[2]!==j.numHeads||O.dims[3]!==3))throw Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');I=3}let k=!1,z=j.kvNumHeads?S*j.kvNumHeads:U;if(Z&&Z.dims.length>0){if(Z.dims.length!==3&&Z.dims.length!==4)throw Error('Input "value" is expected to have 3 or 4 dimensions');if(O.dims[0]!==Z.dims[0])throw Error('Input "query" and "value" shall have same dim 0 (batch_size)');if(Z.dims.length===3){if(H!==Z.dims[1])throw Error('Input "key" and "value" shall have the same dim 1 (kv_sequence_length)');z=Z.dims[2]}else{if(H!==Z.dims[2])throw Error('Input "past_key" and "past_value" shall have the same dim 2 (kv_sequence_length)');z=Z.dims[1]*Z.dims[3],k=!0}}let w=$.length>4?$[5]:void 0;if(w&&w.dims.length!==1&&w.dims[0]!==J)throw Error('Input "seqlens" is expected to have 1 dimension and the same dim 0 as batch_size');return{batchSize:J,sequenceLength:R,pastSequenceLength:L,kvSequenceLength:H,totalSequenceLength:-1,maxSequenceLength:-1,inputHiddenSize:0,hiddenSize:U,vHiddenSize:z,headSize:S,vHeadSize:Math.floor(z/j.kvNumHeads),numHeads:j.numHeads,kvNumHeads:j.kvNumHeads,nReps:j.numHeads/j.kvNumHeads,pastPresentShareBuffer:!1,maskType:0,scale:j.scale,broadcastResPosBias:!1,passPastInKv:k,qkvFormat:I}},XS=j9({perm:[0,2,1,3]}),FJ=($,j,O)=>{let G=j,Z=O.kvNumHeads;return j.dims.length===3&&O.kvSequenceLength!==0&&(G=j.reshape([O.batchSize,O.kvSequenceLength,Z,O.headSize]),G=$.compute(X2(G,XS.perm),{inputs:[G],outputs:[-1]})[0]),G},TS=($,j,O,G)=>{let Z=[$*j],V=$*j,N=[{type:12,data:V},{type:12,data:j},{type:12,data:$}];return{name:"GeneratePositionIds",shaderCache:{hint:`${$};${j}`,inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:Z,dataType:7}],dispatchGroup:{x:Math.ceil(V/64)},programUniforms:N}),getShaderSource:(J)=>{let R=O5("seq_lens",O.dataType,O.dims),U=O5("total_seq_lens",G.dataType,G.dims),H=t5("pos_ids",7,Z);return` + ${J.registerUniforms([{name:"output_size",type:"u32"},{name:"sequence_length",type:"u32"},{name:"batch_size",type:"u32"}]).declareVariables(R,U,H)} + ${J.mainStart()} + ${J.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let total_sequence_length = u32(${U.getByOffset("0")}); + let is_subsequent_prompt = uniforms.sequence_length > 1 && uniforms.sequence_length != total_sequence_length; + let is_first_prompt = !is_subsequent_prompt && uniforms.sequence_length == total_sequence_length; + let batch_idx = global_idx / uniforms.sequence_length; + let sequence_idx = i32(global_idx % uniforms.sequence_length); + var pos_id: i32 = 0; + let seqlen = ${R.getByOffset("batch_idx")}; + let total_seqlen = seqlen + 1; + if (is_first_prompt) { + if (sequence_idx < total_seqlen) { + pos_id = sequence_idx; + } else { + pos_id = 1; + } + ${H.setByOffset("global_idx","pos_id")} + } else if (is_subsequent_prompt) { + let past_seqlen = total_seqlen - i32(uniforms.sequence_length); + if (past_seqlen + sequence_idx < total_seqlen) { + pos_id = past_seqlen + sequence_idx; + } else { + pos_id = 1; + } + ${H.setByOffset("global_idx","pos_id")} + } else if (global_idx < uniforms.batch_size) { + ${H.setByOffset("global_idx","seqlen")} + }; + } + `}}},tk=($,j)=>{let O=PS($.inputs,j);if($.inputs[0].dims.length===5)throw Error("Packed QKV is not implemented");if($.inputs[1]?.dims.length===5)throw Error("Packed KV is not implemented");let G,Z,V=$.inputs[0],N=$.inputs[1]&&$.inputs[1].dims.length>0?$.inputs[1]:void 0,J=$.inputs[2]&&$.inputs[2].dims.length>0?$.inputs[2]:void 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0,0),z=FJ($,j.doRotary?Z:D,O),w=FJ($,I,O);gZ($,k,z,w,void 0,void 0,R,U,void 0,O,H,L)}}),tM=I5(()=>{Y6(),D6(),v7(),M6(),yJ=($,j,O,G,Z,V,N,J)=>{let R=K9(V),U=R===1?"f32":`vec${R}f`,H=R===1?"vec2f":`mat2x${R}f`,L=Z*N,Y=64;L===1&&(Y=256);let S=[Z,N,V/R],X=[Z,N,2],D=[];return D.push(...j6(S,X)),$.compute({name:"InstanceNormComputeChannelScaleShift",shaderCache:{hint:`${R};${J};${Y}`,inputDependencies:["rank","type","type"]},getRunData:()=>({outputs:[{dims:X,dataType:1}],dispatchGroup:{x:L},programUniforms:D}),getShaderSource:(I)=>{let k=O5("x",j.dataType,3,R),z=[k,O5("scale",O.dataType,O.dims),O5("bias",G.dataType,G.dims),t5("output",1,3,2)];return` + var workgroup_shared : array<${H}, ${Y}>; + const workgroup_size = ${Y}u; + ${I.declareVariables(...z)} + ${I.mainStart(Y)} + let batch = workgroup_index / uniforms.x_shape[1]; + let channel = workgroup_index % uniforms.x_shape[1]; + let hight = uniforms.x_shape[2]; + // initialize workgroup memory + var sum = ${U}(0); + var squared_sum = ${U}(0); + for (var h = local_idx; h < hight; h += workgroup_size) { + let value = ${U}(${k.get("batch","channel","h")}); + sum += value; + squared_sum += value * value; + } + workgroup_shared[local_idx] = ${H}(sum, squared_sum); + workgroupBarrier(); + + for (var currSize = workgroup_size >> 1; currSize > 0; currSize = currSize >> 1) { + if (local_idx < currSize) { + workgroup_shared[local_idx] = workgroup_shared[local_idx] + workgroup_shared[local_idx + currSize]; + } + workgroupBarrier(); + } + if (local_idx == 0) { + let sum_final = ${N7("workgroup_shared[0][0]",R)} / f32(hight * ${R}); + let squared_sum_final = ${N7("workgroup_shared[0][1]",R)} / f32(hight * ${R}); + + let inv_std_dev = inverseSqrt(squared_sum_final - sum_final * sum_final + f32(${J})); + let channel_scale = inv_std_dev * f32(scale[channel]); + let channel_shift = f32(bias[channel]) - sum_final * channel_scale; + output[workgroup_index] = vec2f(channel_scale, channel_shift); + } + }`}},{inputs:[j,O,G],outputs:[-1]})[0]},FS=($,j,O)=>{let G=j[0].dims,Z=G,V=G[0],N=G[1],J=l0.sizeFromDimension(G,2),R=K9(J),U=l0.size(Z)/R,H=yJ($,j[0],j[1],j[2],V,J,N,O.epsilon),L=[V,N,J/R],Y=[V,N];$.compute({name:"InstanceNormalization",shaderCache:{hint:`${R}`,inputDependencies:["type","none"]},getRunData:()=>({outputs:[{dims:Z,dataType:j[0].dataType}],dispatchGroup:{x:Math.ceil(U/64)},programUniforms:[{type:12,data:U},...j6(L,Y,L)]}),getShaderSource:(S)=>{let X=O5("x",j[0].dataType,L.length,R),D=O5("scale_shift",1,Y.length,2),I=t5("output",j[0].dataType,L.length,R),k=[X,D,I];return` + ${S.registerUniform("output_size","u32").declareVariables(...k)} + ${S.mainStart()} + ${S.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let outputIndices = ${I.offsetToIndices("global_idx")}; + let batch = outputIndices[0]; + let channel = outputIndices[1]; + let scale_shift = ${D.getByIndices("vec2(batch, channel)")}; + let value = ${X.getByOffset("global_idx")} * ${I.type.value}(scale_shift.x) + ${I.type.value}(scale_shift.y); + ${I.setByOffset("global_idx","value")}; + }`}},{inputs:[j[0],H]})},yS=($,j,O)=>{let G=j[0].dims,Z=G,V=G[0],N=G[G.length-1],J=l0.sizeFromDimension(G,1)/N,R=K9(N),U=l0.size(Z)/R,H=[{type:12,data:J},{type:12,data:Math.floor(N/R)}],L=!1,Y=[0,G.length-1];for(let D=0;DG[Y[I]])),X=yJ($,S,j[1],j[2],V,J,N,O.epsilon);$.compute({name:"InstanceNormalizationNHWC",shaderCache:{hint:`${R}`,inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:Z,dataType:j[0].dataType}],dispatchGroup:{x:Math.ceil(U/64)},programUniforms:H}),getShaderSource:(D)=>{let I=Z1(j[0].dataType),k=R===1?"vec2f":`mat${R}x2f`,z=(W)=>{let E=W===0?"x":"y",Q=R===1?"f32":`vec${R}f`;switch(R){case 1:return`${I}(${Q}(scale.${E}))`;case 2:return`vec2<${I}>(${Q}(scale[0].${E}, scale[1].${E}))`;case 4:return`vec4<${I}>(${Q}(scale[0].${E}, scale[1].${E}, scale[2].${E}, scale[3].${E}))`;default:throw Error(`Not supported compoents ${R}`)}},w=O5("input",j[0].dataType,j[0].dims,R),T=t5("output",j[0].dataType,Z,R);return` + @group(0) @binding(0) var input : array<${w.type.storage}>; + @group(0) @binding(1) var scale_input : array<${k}>; + @group(0) @binding(2) var output : array<${T.type.storage}>; + struct Uniforms {H: u32, C : u32}; + @group(0) @binding(3) var uniforms: Uniforms; + + ${D.mainStart()} + let current_image_number = global_idx / (uniforms.C * uniforms.H); + let current_channel_number = global_idx % uniforms.C; + + let scale_offset = current_image_number * uniforms.C + current_channel_number; + let scale = scale_input[scale_offset]; + output[global_idx] = fma(input[global_idx], ${z(0)}, ${z(1)}); + }`}},{inputs:[j[0],X]})},ek=($,j)=>{j.format==="NHWC"?yS($,$.inputs,j):FS($,$.inputs,j)}}),eM=I5(()=>{Y6(),D6(),M6(),zS=($)=>{if(!$||$.length<2)throw Error("layerNorm requires at least 2 inputs.")},kS=($,j,O)=>{let G=j.simplified,Z=$[0].dims,V=$[1],N=!G&&$[2],J=Z,R=l0.normalizeAxis(j.axis,Z.length),U=l0.sizeToDimension(Z,R),H=l0.sizeFromDimension(Z,R),L=l0.size(V.dims),Y=N?l0.size(N.dims):0;if(L!==H||N&&Y!==H)throw Error(`Size of X.shape()[axis:] == ${H}. + Size of scale and bias (if provided) must match this. + Got scale size of ${L} and bias size of ${Y}`);let S=[];for(let T=0;T1,z=O>2,w=[{dims:J,dataType:$[0].dataType}];return k&&w.push({dims:S,dataType:1}),z&&w.push({dims:S,dataType:1}),{name:"LayerNormalization",shaderCache:{hint:`${X};${O};${G}`,inputDependencies:D},getRunData:()=>({outputs:w,dispatchGroup:{x:Math.ceil(U/64)},programUniforms:I}),getShaderSource:(T)=>{let W=Z1($[0].dataType),E=[O5("x",$[0].dataType,$[0].dims,X),O5("scale",V.dataType,V.dims,X)];return N&&E.push(O5("bias",N.dataType,N.dims,X)),E.push(t5("output",$[0].dataType,J,X)),k&&E.push(t5("mean_data_output",1,S)),z&&E.push(t5("inv_std_output",1,S)),` + ${T.registerUniforms([{name:"norm_count",type:"u32"},{name:"norm_size",type:"f32"},{name:"norm_size_vectorized",type:"u32"},{name:"epsilon",type:"f32"}]).declareVariables(...E)} + ${T.mainStart()} + ${T.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.norm_count")} + let offset = global_idx * uniforms.norm_size_vectorized; + var mean_vector = ${xv("f32",X)}; + var mean_square_vector = ${xv("f32",X)}; + + for (var h: u32 = 0u; h < uniforms.norm_size_vectorized; h++) { + let value = ${yG(W,X,"x[h + offset]")}; + mean_vector += value; + mean_square_vector += value * value; + } + let mean = ${N7("mean_vector",X)} / uniforms.norm_size; + let inv_std_dev = inverseSqrt(${N7("mean_square_vector",X)} / uniforms.norm_size ${G?"":"- mean * mean"} + uniforms.epsilon); + + for (var j: u32 = 0; j < uniforms.norm_size_vectorized; j++) { + let f32input = ${yG(W,X,"x[j + offset]")}; + let f32scale = ${yG(W,X,"scale[j]")}; + output[j + offset] = ${E[0].type.value}((f32input ${G?"":"- mean"}) * inv_std_dev * f32scale + ${N?`+ ${yG(W,X,"bias[j]")}`:""} + ); + } + + ${k?"mean_data_output[global_idx] = mean":""}; + ${z?"inv_std_output[global_idx] = inv_std_dev":""}; + }`}}},$I=($,j)=>{zS($.inputs),$.compute(kS($.inputs,j,$.outputCount))}}),$K=I5(()=>{D6(),XR(),TR(),IS=($)=>{if(!$||$.length!==2)throw Error("MatMul requires 2 inputs.");if($[0].dims[$[0].dims.length-1]!==$[1].dims[$[1].dims.length-2])throw Error("shared dimension does not match.")},jI=($)=>{IS($.inputs);let j=IG.calcShape($.inputs[0].dims,$.inputs[1].dims,!0);if(!j)throw Error("Can't use matmul on the given tensors");let O=j[j.length-1],G=$.inputs[0].dims[$.inputs[0].dims.length-1];if(O<8&&G<8)$.compute(UR($.inputs,{activation:""},j));else{let Z=j[j.length-2],V=l0.size($.inputs[0].dims.slice(0,-2)),N=l0.size($.inputs[1].dims.slice(0,-2));if(V!==1&&Z===1&&N===1){let J=[1,V,O],R=[$.inputs[0].reshape([1,V,G]),$.inputs[1].reshape([1,G,O])];$.compute(YV(R,{activation:""},j,J),{inputs:R})}else 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2:return`mat4x2<${i}>`;case 4:return`mat2x4<${i}>`;default:throw Error(`${L}-component is not supported.`)}})();return` + var workgroup_shared: array<${$0.type.value}, ${D*k}>; + ${E.declareVariables(...e,$0)} + ${E.mainStart([k,1,1])} + let output_indices = ${$0.offsetToIndices(`(global_idx / 64) * ${D}`)}; + let col = output_indices[2]; + let row = output_indices[1]; + let batch = output_indices[0]; + let nBlocksPerCol = uniforms.b_shape[1]; + + for (var block = local_id.x; block < nBlocksPerCol; block += 64) { + //process one block + var word_offset: u32 = block * ${j.blockSize/L}; + ${(()=>{let S0=` + var col_index = col * ${S}; + ${V0?` + let zero_point_bytes_per_col = (nBlocksPerCol + 1) / 2; + var zero_point_byte_count: u32; + var zero_point_word_index: u32; + var zero_point_byte_offset: u32; + let zero_point_nibble_offset: u32 = block & 0x1u; + var zero_point_bits_offset: u32; + var zero_point_word: u32;`:` + // The default zero point is 8 for unsigned 4-bit quantization. + let zero_point = ${i}(8);`} + `;for(let F0=0;F0> 0x1u); + zero_point_word_index = zero_point_byte_count >> 0x2u; + zero_point_byte_offset = zero_point_byte_count & 0x3u; + zero_point_bits_offset = (zero_point_byte_offset << 3) + (zero_point_nibble_offset << 2); + zero_point_word = ${V0.getByOffset("zero_point_word_index")} >> zero_point_bits_offset; + let zero_point${F0} = ${i}((zero_point_word) & 0xFu);`:""} + col_index += 1;`;return S0})()} + for (var word: u32 = 0; word < ${U}; word += ${Y}) { + ${(()=>{let S0=`col_index = col * ${S};`;for(let F0=0;F0; + var b_value_upper: vec4; + var b_quantized_values: ${G0}; + var b_dequantized_values: ${G0};`,S0})()} + for (var i: u32 = 0; i < ${Y}; i++) { + ${(()=>{let S0=` + // reuse a data + var input_offset = ${A.indicesToOffset(`${A.type.indices}(batch, row, word_offset)`)}; + var a_data: ${G0}; + for (var j: u32 = 0; j < ${8/L}; j++) { + a_data[j] = ${A.getByOffset("input_offset")}; + input_offset++; + } + `;for(let F0=0;F0> 4) & b_mask); + b_quantized_values = ${G0}(${Array.from({length:4},(s,n)=>`${i}(b_value_lower[${n}]), ${i}(b_value_upper[${n}])`).join(", ")}); + b_dequantized_values = ${L===1?`${G0}(${Array.from({length:8},(s,n)=>`(b_quantized_values[${n}] - ${V0?`zero_point${F0}`:"zero_point"}) * scale${F0}`).join(", ")});`:`(b_quantized_values - ${G0}(${Array(8).fill(V0?`zero_point${F0}`:"zero_point").join(",")})) * scale${F0};`}; + workgroup_shared[local_id.x * ${D} + ${Math.floor(F0/S)}]${S>1?`[${F0%S}]`:""} += ${Array.from({length:8/L},(s,n)=>L===1?`a_data[${n}] * b_dequantized_values[${n}]`:`dot(a_data[${n}], b_dequantized_values[${n}])`).join(" + ")}; + `;return S0})()} + word_offset += ${8/L}; + } + } + } + workgroupBarrier(); + + if (local_id.x < ${D}) { + var output_value: ${$0.type.value} = ${$0.type.value}(0); + var workgroup_shared_offset: u32 = local_id.x; + for (var b: u32 = 0u; b < 64u; b++) { + output_value += workgroup_shared[workgroup_shared_offset]; + workgroup_shared_offset += ${D}; + } + ${$0.setByIndices(`${$0.type.indices}(batch, row, col + local_id.x)`,"output_value")}; + } + }`}}},MS=($,j)=>{let O=$[0].dims,G=O.length,Z=O[G-2],V=j.k,N=j.n,J=O.slice(0,G-2),R=l0.size(J),U=$[1].dims[2]/4,H=$[0].dataType,L=K9(j.k),Y=K9(U),S=J.concat([Z,N]),X=N%8==0?8:N%4==0?4:1,D=128/X,I=D*Y*8,k=I/L,z=I/j.blockSize,w=l0.size(S)/X,T=[],W=[R,Z,V/L],E=l0.convertShape($[1].dims).slice();E.splice(-1,1,U/Y),T.push(...j6(W)),T.push(...j6(E)),T.push(...j6($[2].dims)),$.length===4&&T.push(...j6(l0.convertShape($[3].dims)));let Q=[R,Z,N];return T.push(...j6(Q)),{name:"BlockwiseMatMulNBits32",shaderCache:{hint:`${j.blockSize};${L};${Y};${D};${X}`,inputDependencies:Array($.length).fill("rank")},getRunData:()=>({outputs:[{dims:S,dataType:H}],dispatchGroup:{x:w},programUniforms:T}),getShaderSource:(A)=>{let l=W.length,r=O5("a",$[0].dataType,l,L),e=O5("b",12,E.length,Y),V0=O5("scales",$[2].dataType,$[2].dims.length),v0=[r,e,V0],$0=$.length===4?O5("zero_points",12,$[3].dims.length):void 0;$0&&v0.push($0);let i=Q.length,G0=t5("output",$[0].dataType,i),S0=Z1($[0].dataType);return` + var sub_a: array<${r.type.value}, ${k}>; + var inter_results: array, ${X}>; + ${A.declareVariables(...v0,G0)} + ${A.mainStart([D,X,1])} + let output_indices = ${G0.offsetToIndices(`workgroup_index * ${X}`)}; + let col = output_indices[2]; + let row = output_indices[1]; + let batch = output_indices[0]; + let n_blocks_per_col = uniforms.b_shape[1]; + let num_tiles = (n_blocks_per_col - 1) / ${z} + 1; + + // Loop over shared dimension. + for (var tile: u32 = 0; tile < num_tiles; tile += 1) { + let a_col_start = tile * ${k}; + // load one tile A data into shared memory. + for (var a_offset = local_idx; a_offset < ${k}; a_offset += 128) + { + let a_col = a_col_start + a_offset; + if (a_col < uniforms.a_shape[2]) + { + sub_a[a_offset] = ${r.getByIndices(`${r.type.indices}(batch, row, a_col)`)}; + } else { + sub_a[a_offset] = ${r.type.value}(0); + } + } + workgroupBarrier(); + + // each thread process one block + let b_row = col + local_id.y; + let block = tile * ${z} + local_id.x; + ${$0?` + let zero_point_bytes_per_col = (n_blocks_per_col + 1) / 2; + let zero_point_byte_count = b_row * zero_point_bytes_per_col + (block >> 0x1u); + let zero_point_word_index = zero_point_byte_count >> 0x2u; + let zero_point_byte_offset = zero_point_byte_count & 0x3u; + let zero_point_nibble_offset: u32 = block & 0x1u; + let zero_point_bits_offset = (zero_point_byte_offset << 3) + (zero_point_nibble_offset << 2); + let zero_point_word = ${$0.getByOffset("zero_point_word_index")} >> zero_point_bits_offset; + let zero_point = ${S0}((zero_point_word) & 0xFu);`:` + // The default zero point is 8 for unsigned 4-bit quantization. + let zero_point = ${S0}(8);`} + let scale = ${V0.getByOffset("b_row * n_blocks_per_col + block")}; + let b_data = ${e.getByIndices(`${e.type.indices}(b_row, block, 0)`)}; + var word_offset = local_id.x * ${j.blockSize/L}; + for (var i: u32 = 0; i < ${Y}; i++) { + ${(()=>{switch(L){case 1:return` + let a_data0 = vec4<${S0}>(sub_a[word_offset], sub_a[word_offset + 1], sub_a[word_offset + 2], sub_a[word_offset + 3]); + let a_data1 = vec4<${S0}>(sub_a[word_offset + 4], sub_a[word_offset + 5], sub_a[word_offset + 6], sub_a[word_offset + 7]);`;case 2:return` + let a_data0 = vec4<${S0}>(sub_a[word_offset], sub_a[word_offset + 1]); + let a_data1 = vec4<${S0}>(sub_a[word_offset + 2], sub_a[word_offset + 3]);`;case 4:return` + let a_data0 = sub_a[word_offset]; + let a_data1 = sub_a[word_offset + 1];`;default:throw Error(`${L}-component is not supported.`)}})()} + let b_value = ${Y===1?"b_data":"b_data[i]"}; + let b_value_lower = unpack4xU8(b_value & 0x0F0F0F0Fu); + let b_value_upper = unpack4xU8((b_value >> 4) & 0x0F0F0F0Fu); + let b_quantized_values = mat2x4<${S0}>(${Array.from({length:4},(F0,s)=>`${S0}(b_value_lower[${s}]), ${S0}(b_value_upper[${s}])`).join(", ")}); + let b_dequantized_values = (b_quantized_values - mat2x4<${S0}>(${Array(8).fill("zero_point").join(",")})) * scale; + inter_results[local_id.y][local_id.x] += ${Array.from({length:2},(F0,s)=>`dot(a_data${s}, b_dequantized_values[${s}])`).join(" + ")}; + word_offset += ${8/L}; + } + workgroupBarrier(); + } + + if (local_idx < ${X}) { + var output_value: ${G0.type.value} = ${G0.type.value}(0); + for (var b = 0u; b < ${D}; b++) { + output_value += inter_results[local_idx][b]; + } + if (col + local_idx < uniforms.output_shape[2]) + { + ${G0.setByIndices(`${G0.type.indices}(batch, row, col + local_idx)`,"output_value")} + } + } + }`}}},OI=($,j)=>{DS($.inputs,j),j.blockSize===32&&$.adapterInfo.isVendor("intel")&&$.adapterInfo.isArchitecture("gen-12lp")?$.compute(MS($.inputs,j)):$.compute(WS($.inputs,j))},GI=($)=>j9($)}),OK=I5(()=>{Y6(),D6(),M6(),KS=($)=>{if(!$||$.length<1)throw Error("Too few inputs");if($[0].dataType!==1&&$[0].dataType!==10)throw Error("Input type must be float or float16.");if($.length>=2){let j=2*$[0].dims.length===$[1].dims[0];if($.length===4&&(j=2*$[3].dims[0]===$[1].dims[0]),!j)throw Error("The pads should be a 1D tensor of shape [2 * input_rank] or [2 * num_axes].")}},bS=($,j,O)=>{let G="";for(let Z=j-1;Z>=0;--Z)G+=` + k = i32(${$.indicesGet("indices",Z)}) - ${R6("uniforms.pads",Z,O)}; + if (k < 0) { + break; + } + if (k >= i32(${R6("uniforms.x_shape",Z,j)})) { + break; + } + offset += k * i32(${R6("uniforms.x_strides",Z,j)}); + `;return` + value = ${$.type.value}(uniforms.constant_value); + for (var i = 0; i < 1; i++) { + var offset = 0; + var k = 0; + ${G} + value = x[offset]; + } + `},fS=($,j,O)=>{let G="";for(let Z=j-1;Z>=0;--Z)G+=` + k = i32(${$.indicesGet("indices",Z)}) - ${R6("uniforms.pads",Z,O)}; + if (k < 0) { + k = -k; + } + { + let _2n_1 = 2 * (i32(${R6("uniforms.x_shape",Z,j)}) - 1); + k = k % _2n_1; + if(k >= i32(${R6("uniforms.x_shape",Z,j)})) { + k = _2n_1 - k; + } + } + offset += k * i32(${R6("uniforms.x_strides",Z,j)}); + `;return` + var offset = 0; + var k = 0; + ${G} + value = x[offset]; + `},wS=($,j,O)=>{let G="";for(let Z=j-1;Z>=0;--Z)G+=` + k = i32(${$.indicesGet("indices",Z)}) - ${R6("uniforms.pads",Z,O)}; + if (k < 0) { + k = 0; + } + if (k >= i32(${R6("uniforms.x_shape",Z,j)})) { + k = i32(${R6("uniforms.x_shape",Z,j)}) - 1; + } + offset += k * i32(${R6("uniforms.x_strides",Z,j)}); + `;return` + var offset = 0; + var k = 0; + ${G} + value = x[offset]; + `},ES=($,j,O)=>{let G="";for(let Z=j-1;Z>=0;--Z)G+=` + k = i32(${$.indicesGet("indices",Z)}) - ${R6("uniforms.pads",Z,O)}; + if (k < 0) { + k += i32(${R6("uniforms.x_shape",Z,j)}]); + } + if (k >= i32(${R6("uniforms.x_shape",Z,j)})) { + k -= i32(${R6("uniforms.x_shape",Z,j)}); + } + offset += k * i32(${R6("uniforms.x_strides",Z,j)}); + `;return` + var offset = 0; + var k = 0; + ${G} + value = x[offset]; + `},QS=($,j,O)=>{switch(O.mode){case 0:return bS($,j,O.pads.length);case 1:return fS($,j,O.pads.length);case 2:return wS($,j,O.pads.length);case 3:return ES($,j,O.pads.length);default:throw Error("Invalid mode")}},CS=($,j)=>{let O=l0.padShape($[0].dims.slice(),j.pads),G=$[0].dims,Z=[{type:12,data:l0.size(O)},{type:6,data:j.pads}],V=$.length>=3&&$[2].data;return j.mode===0&&Z.push({type:V?$[2].dataType:1,data:j.value}),Z.push(...j6($[0].dims,O)),{name:"Pad",shaderCache:{hint:`${j.mode}${V}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:O,dataType:$[0].dataType}],dispatchGroup:{x:Math.ceil(l0.size(O)/64)},programUniforms:Z}),getShaderSource:(N)=>{let J=t5("output",$[0].dataType,O.length),R=O5("x",$[0].dataType,G.length),U=R.type.value,H=QS(J,G.length,j),L=[{name:"output_size",type:"u32"},{name:"pads",type:"i32",length:j.pads.length}];return j.mode===0&&L.push({name:"constant_value",type:V?U:"f32"}),` + ${N.registerUniforms(L).declareVariables(R,J)} + ${N.mainStart()} + ${N.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + + let indices = ${J.offsetToIndices("global_idx")}; + + var value = ${U}(0); + ${H} + output[global_idx] = value; + }`}}},BS=($,j)=>{if($.length>1){let O=$[1].getBigInt64Array(),G=$.length>=3&&$[2].data?$[2].dataType===10?$[2].getUint16Array()[0]:$[2].getFloat32Array()[0]:0,Z=$[0].dims.length,V=new Int32Array(2*Z).fill(0);if($.length>=4){let J=$[3].getBigInt64Array();for(let R=0;RV[Number(R)]=Number(J));let N=[];return V.forEach((J)=>N.push(J)),{mode:j.mode,value:G,pads:N}}return j},ZI=($,j)=>{KS($.inputs);let O=BS($.inputs,j);$.compute(CS($.inputs,O),{inputs:[0]})}}),GK=I5(()=>{Q3(),Y6(),D6(),M6(),IZ=($)=>{if(T9.webgpu.validateInputContent&&(!$||$.length!==1))throw Error("Pool ops requires 1 input.")},zJ=($,j,O)=>{let G=j.format==="NHWC",Z=$.dims.slice();G&&Z.splice(1,0,Z.pop());let V=Object.hasOwnProperty.call(j,"dilations"),N=j.kernelShape.slice(),J=j.strides.slice(),R=V?j.dilations.slice():[],U=j.pads.slice();LV.adjustPoolAttributes(O,Z,N,J,R,U);let H=LV.computePoolOutputShape(O,Z,J,R,N,U,j.autoPad),L=Object.assign({},j);V?Object.assign(L,{kernelShape:N,strides:J,pads:U,dilations:R,cacheKey:j.cacheKey}):Object.assign(L,{kernelShape:N,strides:J,pads:U,cacheKey:j.cacheKey});let Y=H.slice();return Y.push(Y.splice(1,1)[0]),[L,G?Y:H]},kJ=($,j)=>{let O=j.format==="NHWC",G=[{type:12,data:l0.size($)},{type:12,data:l0.size(j.kernelShape)}],Z=[{name:"outputSize",type:"u32"},{name:"kernelSize",type:"u32"}];if(j.kernelShape.length<=2){let V=j.kernelShape[j.kernelShape.length-1],N=j.strides[j.strides.length-1],J=j.pads[j.pads.length/2-1],R=j.pads[j.pads.length-1],U=!!(J+R);G.push({type:12,data:V},{type:12,data:N},{type:12,data:J},{type:12,data:R}),Z.push({name:"kw",type:"u32"},{name:"sw",type:"u32"},{name:"pwStart",type:"u32"},{name:"pwEnd",type:"u32"});let H=!1;if(j.kernelShape.length===2){let L=j.kernelShape[j.kernelShape.length-2],Y=j.strides[j.strides.length-2],S=j.pads[j.pads.length/2-2],X=j.pads[j.pads.length-2];H=!!(S+X),G.push({type:12,data:L},{type:12,data:Y},{type:12,data:S},{type:12,data:X}),Z.push({name:"kh",type:"u32"},{name:"sh",type:"u32"},{name:"phStart",type:"u32"},{name:"phEnd",type:"u32"})}return[G,Z,!0,U,H]}{if(O)throw Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let V=l0.computeStrides(j.kernelShape);return G.push({type:12,data:V},{type:12,data:j.pads},{type:12,data:j.strides}),Z.push({name:"kernelStrides",type:"u32",length:V.length},{name:"pads",type:"u32",length:j.pads.length},{name:"strides",type:"u32",length:j.strides.length}),[G,Z,!!j.pads.reduce((N,J)=>N+J),!1,!1]}},IJ=($,j,O,G,Z,V,N,J,R,U,H,L)=>{let Y=Z.format==="NHWC",S=j.type.value,X=t5("output",j.type.tensor,G);if(Z.kernelShape.length<=2){let D="",I="",k="",z=O-(Y?2:1);if(D=H?` + for (var i: u32 = 0u; i < uniforms.kw; i++) { + xIndices[${z}] = indices[${z}] * uniforms.sw - uniforms.pwStart + i; + if (xIndices[${z}] < 0 || xIndices[${z}] + >= uniforms.x_shape[${z}]) { + pad++; + continue; + } + let x_val = x[${j.indicesToOffset("xIndices")}]; + ${V} + }`:` + for (var i: u32 = 0u; i < uniforms.kw; i++) { + xIndices[${z}] = indices[${z}] * uniforms.sw - uniforms.pwStart + i; + let x_val = x[${j.indicesToOffset("xIndices")}]; + ${V} + }`,Z.kernelShape.length===2){let w=O-(Y?3:2);I=L?` + for (var j: u32 = 0u; j < uniforms.kh; j++) { + xIndices[${w}] = indices[${w}] * uniforms.sh - uniforms.phStart + j; + if (xIndices[${w}] < 0 || xIndices[${w}] >= uniforms.x_shape[${w}]) { + pad += i32(uniforms.kw); + continue; + } + `:` + for (var j: u32 = 0u; j < uniforms.kh; j++) { + xIndices[${w}] = indices[${w}] * uniforms.sh - uniforms.phStart + j; + `,k=` + } + `}return` + ${$.registerUniforms(R).declareVariables(j,X)} + + ${$.mainStart()} + ${$.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + + let indices = ${X.offsetToIndices("global_idx")}; + var xIndices = ${X.offsetToIndices("global_idx")}; + + var value = ${S}(${J}); + var pad = 0; + ${I} + ${D} + ${k} + ${N} + + output[global_idx] = value; + }`}{if(Y)throw Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let D=Z.kernelShape.length,I=Z.pads.length,k="";return k=U?` + if (xIndices[j] >= uniforms.x_shape[j]) { + pad++; + isPad = true; + break; + } + } + if (!isPad) { + let x_val = x[${j.indicesToOffset("xIndices")}]; + ${V} + }`:` + } + let x_val = x[${j.indicesToOffset("xIndices")}]; + ${V} + `,` + ${$.registerUniforms(R).declareVariables(j,X)} + + ${$.mainStart()} + ${$.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + let indices = ${X.offsetToIndices("global_idx")}; + var xIndices = ${X.offsetToIndices("global_idx")}; + + var offsets: array; + + var value = ${S}(${J}); + var pad = 0; + var isPad = false; + + for (var i: u32 = 0u; i < uniforms.kernelSize; i++) { + var offset = i; + for (var j = 0u; j < ${D-1}u; j++) { + offsets[j] = offset / ${R6("uniforms.kernelStrides","j",D)}; + offset -= offsets[j] * ${R6("uniforms.kernelStrides","j",D)}; + } + offsets[${D-1}] = offset; + + isPad = false; + for (var j = ${O-D}u; j < ${O}u; j++) { + xIndices[j] = indices[j] * ${R6("uniforms.strides",`j - ${O-D}u`,D)} + + offsets[j - ${O-D}u] - ${R6("uniforms.pads","j - 2u",I)}; + ${k} + } + ${N} + + output[global_idx] = value; + }`}},DJ=($)=>`${$.format};${$.ceilMode};${$.autoPad};${$.kernelShape.length}`,hS=($)=>`${DJ($)};${$.countIncludePad}`,cS=($)=>`${DJ($)};${$.storageOrder};${$.dilations}`,WJ=($)=>({format:$.format,autoPad:["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][$.auto_pad],ceilMode:$.ceil_mode,kernelShape:$.kernel_shape,strides:$.strides,pads:$.pads}),MJ=($,j,O,G)=>{let[Z,V]=zJ(j,G,O),N=O5("x",j.dataType,j.dims.length),J=N.type.value,R="";Z.countIncludePad?R+=`value /= ${J}(uniforms.kernelSize);`:R+=`value /= ${J}(i32(uniforms.kernelSize) - pad);`;let[U,H,L,Y,S]=kJ(V,Z);return U.push(...j6(j.dims,V)),{name:$,shaderCache:{hint:`${G.cacheKey};${L};${Y};${S}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:V,dataType:j.dataType}],dispatchGroup:{x:Math.ceil(l0.size(V)/64)},programUniforms:U}),getShaderSource:(X)=>IJ(X,N,j.dims.length,V.length,Z,"value += x_val;",R,0,H,L,Y,S)}},qI=($)=>{let j=$.count_include_pad!==0,O=WJ($);if(O.ceilMode!==0)throw Error("using ceil() in shape computation is not yet supported for AveragePool");let G={countIncludePad:j,...O,cacheKey:""};return{...G,cacheKey:hS(G)}},VI=($,j)=>{IZ($.inputs),$.compute(MJ("AveragePool",$.inputs[0],!1,j))},KJ={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[]},NI=($)=>{let j=$.format;return{format:j,...KJ,cacheKey:j}},JI=($,j)=>{IZ($.inputs),$.compute(MJ("GlobalAveragePool",$.inputs[0],!0,j))},bJ=($,j,O,G)=>{let[Z,V]=zJ(j,G,O),N=O5("x",j.dataType,j.dims.length),[J,R,U,H,L]=kJ(V,Z);return J.push(...j6(j.dims,V)),{name:$,shaderCache:{hint:`${G.cacheKey};${U};${H};${L}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:V,dataType:j.dataType}],dispatchGroup:{x:Math.ceil(l0.size(V)/64)},programUniforms:J}),getShaderSource:(Y)=>IJ(Y,N,j.dims.length,V.length,Z,` + value = max(x_val, value); + `,"",j.dataType===10?-65504:-1e5,R,U,H,L)}},vI=($,j)=>{IZ($.inputs),$.compute(bJ("MaxPool",$.inputs[0],!1,j))},RI=($)=>{let{storage_order:j,dilations:O}=$,G=WJ($);if(j!==0)throw Error("column major storage order is not yet supported for MaxPool");if(G.ceilMode!==0)throw Error("using ceil() in shape computation is not yet supported for MaxPool");let Z={storageOrder:j,dilations:O,...G,cacheKey:""};return{...Z,cacheKey:cS(Z)}},UI=($)=>{let j=$.format;return{format:j,...KJ,cacheKey:j}},HI=($,j)=>{IZ($.inputs),$.compute(bJ("GlobalMaxPool",$.inputs[0],!0,j))}}),ZK=I5(()=>{Y6(),D6(),B9(),M6(),mS=($,j)=>{if($.length<2||$.length>3)throw Error("DequantizeLinear requires 2 or 3 inputs.");if($.length===3&&$[1].dims===$[2].dims)throw Error("x-scale and x-zero-point must have the same shape.");if($.length===3&&$[0].dataType!==$[2].dataType)throw Error("x and x-zero-point must have the same data type.");if($[0].dataType===6&&$.length>2)throw Error("In the case of dequantizing int32 there is no zero point.");if($[1].dims.length!==0&&$[1].dims.length!==1&&$[1].dims.length!==$[0].dims.length)throw Error("scale input must be a scalar, a 1D tensor, or have the same rank as the input tensor.");if($.length>2){if($[0].dataType!==$[2].dataType)throw Error("x and x-zero-point must have the same data type.");if($[1].dims.length!==$[2].dims.length)throw Error("scale and zero-point inputs must have the same rank.");if(!$[1].dims.map((O,G)=>O===$[2].dims[G]).reduce((O,G)=>O&&G,!0))throw Error("scale and zero-point inputs must have the same shape.")}if(j.blockSize>0){if($[1].dims.length===0||$[1].dims.length===1&&$[1].dims[0]===1)throw Error("blockSize must be set only for block quantization.");if(!$[1].dims.map((Z,V)=>V===j.axis||Z===$[0].dims[V]).reduce((Z,V)=>Z&&V,!0))throw Error("For block qunatization, scale input shape to match the input shape except for the axis");if($[1].dims.length!==$[0].dims.length)throw Error("For block qunatization the scale input rank must be the same as the x rank.");let O=$[0].dims[j.axis],G=$[1].dims[j.axis];if(j.blockSizeMath.ceil(O/(G-1)-1))throw Error("blockSize must be with in the range [ceil(dI / Si), ceil(dI / (Si - 1) - 1)].")}},pS=($,j)=>{let O=l0.normalizeAxis(j.axis,$[0].dims.length),G=$[0].dataType,Z=G===3,V=$[0].dims,N=$[1].dataType,J=l0.size(V),R=G===3||G===2,U=R?[Math.ceil(l0.size($[0].dims)/4)]:$[0].dims,H=$[1].dims,L=$.length>2?$[2]:void 0,Y=L?R?[Math.ceil(l0.size(L.dims)/4)]:L.dims:void 0,S=H.length===0||H.length===1&&H[0]===1,X=S===!1&&H.length===1,D=K9(J),I=S&&(!R||D===4),k=I?D:1,z=I&&!R?D:1,w=O5("input",R?12:G,U.length,z),T=O5("scale",N,H.length),W=L?O5("zero_point",R?12:G,Y.length):void 0,E=t5("output",N,V.length,k),Q=[w,T];W&&Q.push(W);let A=[U,H];L&&A.push(Y);let l=[{type:12,data:J/k},{type:12,data:O},{type:12,data:j.blockSize},...j6(...A,V)];return{name:"DequantizeLinear",shaderCache:{hint:j.cacheKey,inputDependencies:W?["rank","rank","rank"]:["rank","rank"]},getShaderSource:(r)=>` + ${r.registerUniforms([{name:"output_size",type:"u32"},{name:"axis",type:"u32"},{name:"block_size",type:"u32"}]).declareVariables(...Q,E)} + ${r.mainStart()} + ${r.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let output_indices = ${E.offsetToIndices("global_idx")}; + + // Set input x + ${R?` + let input = ${w.getByOffset("global_idx / 4")}; + let x_vec = ${Z?"unpack4xI8(input)":"unpack4xU8(input)"}; + let x_value = ${k===1?"x_vec[global_idx % 4]":"x_vec"};`:`let x_value = ${w.getByOffset("global_idx")};`}; + + // Set scale input + ${S?`let scale_value= ${T.getByOffset("0")}`:X?` + let scale_index = ${E.indicesGet("output_indices","uniforms.axis")}; + let scale_value= ${T.getByOffset("scale_index")};`:` + var scale_indices: ${T.type.indices} = output_indices; + let index = ${T.indicesGet("scale_indices","uniforms.axis")} / uniforms.block_size; + ${T.indicesSet("scale_indices","uniforms.axis","index")}; + let scale_value= ${T.getByIndices("scale_indices")};`}; + + // Set zero-point input + ${W?S?R?` + let zero_point_input = ${W.getByOffset("0")}; + let zero_point_vec = ${Z?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"}; + let zero_point_value= zero_point_vec[0]`:`let zero_point_value = ${W.getByOffset("0")}`:X?R?` + let zero_point_index = ${E.indicesGet("output_indices","uniforms.axis")}; + let zero_point_input = ${W.getByOffset("zero_point_index / 4")}; + let zero_point_vec = ${Z?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"}; + let zero_point_value = zero_point_vec[zero_point_index % 4]`:` + let zero_point_index = ${E.indicesGet("output_indices","uniforms.axis")}; + let zero_point_value = ${W.getByOffset("zero_point_index")};`:R?` + let zero_point_offset = ${T.indicesToOffset("scale_indices")}; + let zero_point_input = ${W.getByOffset("zero_point_offset / 4")}; + let zero_point_vec = ${Z?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"}; + let zero_point_value = zero_point_vec[zero_point_offset % 4];`:`let zero_point_value = ${W.getByIndices("scale_indices")};`:`let zero_point_value = ${R?Z?"i32":"u32":w.type.value}(0);`}; + // Compute and write output + ${E.setByOffset("global_idx",`${E.type.value}(x_value - zero_point_value) * scale_value`)}; + }`,getRunData:()=>({outputs:[{dims:V,dataType:N}],dispatchGroup:{x:Math.ceil(J/k/64),y:1,z:1},programUniforms:l})}},xI=($,j)=>{mS($.inputs,j),$.compute(pS($.inputs,j))},LI=($)=>j9({axis:$.axis,blockSize:$.blockSize})}),qK=I5(()=>{Q3(),Y6(),M6(),AS=($,j,O)=>{if($===j||$j&&O>0)throw Error("Range these inputs' contents are invalid.")},gS=($,j,O,G)=>{let Z=Math.abs(Math.ceil((j-$)/O)),V=[Z],N=Z,J=[{type:12,data:N},{type:G,data:$},{type:G,data:O},...j6(V)];return{name:"Range",shaderCache:{hint:`${G}`},getShaderSource:(R)=>{let U=t5("output",G,V.length),H=U.type.value,L=[{name:"outputSize",type:"u32"},{name:"start",type:H},{name:"delta",type:H}];return` + ${R.registerUniforms(L).declareVariables(U)} + ${R.mainStart()} + ${R.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + output[global_idx] = uniforms.start + ${H}(global_idx) * uniforms.delta; + }`},getRunData:()=>({outputs:[{dims:V,dataType:G}],dispatchGroup:{x:Math.ceil(N/64)},programUniforms:J})}},_I=($)=>{let j=0,O=0,G=0;$.inputs[0].dataType===6?(j=$.inputs[0].getInt32Array()[0],O=$.inputs[1].getInt32Array()[0],G=$.inputs[2].getInt32Array()[0]):$.inputs[0].dataType===1&&(j=$.inputs[0].getFloat32Array()[0],O=$.inputs[1].getFloat32Array()[0],G=$.inputs[2].getFloat32Array()[0]),T9.webgpu.validateInputContent&&AS(j,O,G),$.compute(gS(j,O,G,$.inputs[0].dataType),{inputs:[]})}}),VK=I5(()=>{Y6(),D6(),B9(),M6(),uS=($,j,O,G)=>{if($!=="none"&&G!=="i32"&&G!=="u32"&&G!=="f32")throw Error(`Input ${G} is not supported with reduction ${$}.`);let Z=`{ + var oldValue = 0; + loop { + let newValueF32 =`,V=`; + let newValue = bitcast(newValueF32); + let res = atomicCompareExchangeWeak(&${j}, oldValue, newValue); + if res.exchanged { + break; + } + oldValue = res.old_value; + } + }`;switch($){case"none":return`${j}=${O};`;case"add":return G==="i32"||G==="u32"?`atomicAdd(&${j}, bitcast<${G}>(${O}));`:` + ${Z}bitcast<${G}>(oldValue) + (${O})${V}`;case"max":return G==="i32"||G==="u32"?`atomicMax(&${j}, bitcast<${G}>(${O}));`:` + ${Z}max(bitcast(oldValue), (${O}))${V}`;case"min":return G==="i32"||G==="u32"?`atomicMin(&${j}, bitcast<${G}>(${O}));`:`${Z}min(bitcast<${G}>(oldValue), (${O}))${V}`;case"mul":return`${Z}(bitcast<${G}>(oldValue) * (${O}))${V}`;default:throw Error(`Reduction ${$} is not supported.`)}},fJ=($,j)=>($===1?` + let element_count_dim = uniforms.output_strides; + let dim_value = uniforms.output_shape;`:` + let element_count_dim = uniforms.output_strides[${j?"i - indices_start":"i"}]; + let dim_value = uniforms.output_shape[${j?"i - indices_start":"i"} + uniforms.last_index_dimension];`)+` + + if (index >= 0) { + if (index >= i32(dim_value)) { + index = i32(dim_value - 1); + } + } else { + if (index < -i32(dim_value)) { + index = 0; + } else { + index += i32(dim_value); + } + } + data_offset += u32((u32(index) * element_count_dim));`,wJ=($,j,O)=>`for (var i = 0u; i < uniforms.num_updates_elements; i++) { + let value = updates[uniforms.num_updates_elements * ${O?"global_idx":"idx"} + i]; + ${uS($.reduction,"output[data_offset + i]","value",j)} + }`,dS=($,j)=>{let O=$[0].dims,G=$[1].dims,Z=O,V=Math.ceil(l0.size(G)/1),N=G[G.length-1],J=l0.sizeFromDimension(O,N),R=l0.sizeFromDimension(G,0)/N,U=[{type:12,data:V},{type:12,data:N},{type:12,data:J},...j6($[1].dims,$[2].dims,Z)];return{name:"ScatterND",shaderCache:{hint:`${j.cacheKey}_${j.reduction}`,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:Z,dataType:$[0].dataType}],dispatchGroup:{x:Math.ceil(V/64)},programUniforms:U}),getShaderSource:(H)=>{let L=O5("indices",$[1].dataType,$[1].dims.length),Y=O5("updates",$[2].dataType,$[2].dims.length,1),S=j.reduction!=="none"&&j.reduction!==""?iy("output",$[0].dataType,Z.length):t5("output",$[0].dataType,Z.length,1);return` + ${H.registerUniform("output_size","u32").registerUniform("last_index_dimension","u32").registerUniform("num_updates_elements","u32").declareVariables(L,Y,S)} + ${H.mainStart()} + ${H.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + var hasDuplicates = false; + if (${j.reduction==="none"}) { + for (var i = 0; i < ${R}; i = i + 1) { + for (var j = i + 1; j < ${R}; j = j + 1) { + var index_i = i32(indices[i].x); + var index_j = i32(indices[j].x); + if (index_i == index_j) { + hasDuplicates = true; + break; + } + } + if (hasDuplicates) { + break; + } + } + } + + if (${j.reduction==="none"} && hasDuplicates) { + if (global_idx != 0u) { + return; + } + // Process each index-update pair individually when duplicates exist + for (var idx = 0u; idx < ${R}u; idx++) { + var data_offset = 0u; + for (var i = 0u; i < uniforms.last_index_dimension; i++) { + var index = i32(indices[idx * uniforms.last_index_dimension + i].x); + ${fJ(O.length,!1)} + } + ${wJ(j,S.type.value,!1)} + } + return; + } + + var data_offset = 0u; + var indices_start = uniforms.last_index_dimension * global_idx; + var indices_end = indices_start + uniforms.last_index_dimension; + for (var i = indices_start; i < indices_end; i++) { + var index = i32(indices[i].x); + ${fJ(O.length,!0)} + } + ${wJ(j,S.type.value,!0)} + }`}}},YI=($)=>j9({reduction:$.reduction}),SI=($,j)=>{$.compute(dS($.inputs,j),{inputs:[$.inputs[1],$.inputs[2]],outputs:[]})}}),NK=I5(()=>{Y6(),D6(),B9(),M6(),lS=($,j)=>{if($.every((O)=>O>0||(()=>{throw Error("Resize requires scales input values to be positive")})),$.length>0){if(j.mode==="linear"){if(!($.length===2||$.length===3||$.length===4&&$[0]===1&&$[1]===1||$.length===4&&$[0]===1&&$[3]===1||$.length===5&&$[0]===1&&$[1]===1))throw Error(`For linear mode, Resize requires scales to be 2D, 3D, 4D with either two outermost or one innermost and + one outermost scale values equal to 1, or 5D with two outermost scale values equal to 1`)}else if(j.mode==="cubic"&&!($.length===2||$.length===4&&$[0]===1&&$[1]===1||$.length===4&&$[0]===1&&$[3]===1))throw Error("Resize requires scales input size to be 2 or 4 for cubic mode")}},oS=($,j,O)=>{j.every((Z)=>Z>=0&&Z{throw Error("Resize requires axes input values to be positive and less than rank")}));let G=Array(O).fill(1);return j.forEach((Z,V)=>G[Z]=$[V]),G},sS=($,j,O,G,Z,V)=>{let[N,J,R]=O>10?[1,2,3]:[-1,$.length>1?1:-1,-1],U=$[0].dims.length;if(N>0&&$.length>N&&$[N].dims.length>0)$[N].getFloat32Array().forEach((H)=>V.push(H));else if(j.coordinateTransformMode==="tf_crop_and_resize")throw Error("Resize requires RoI input to be specified when coordinateTransformMode is tfCropAndResize");if(J>0&&$.length>J&&$[J].dims.length===1&&$[J].dims[0]>0){if($[J].getFloat32Array().forEach((H)=>G.push(H)),G.length!==0&&G.length!==U&&O>=18&&G.length!==j.axes.length)throw Error("Resize requires scales input size to be same as input rank or axes size for opset 18 and up");lS(G,j),j.axes.length>0&&oS(G,j.axes,U).forEach((H,L)=>G[L]=H)}if(R>0&&$.length>R&&$[R].dims.length===1&&$[R].dims[0]>0&&($[R].getBigInt64Array().forEach((H)=>Z.push(Number(H))),Z.length!==0&&Z.length!==U&&O>=18&&Z.length!==j.axes.length))throw Error("Resize requires sizes input size to be same as input rank or axes size for opset 18 and up");if(j.axes.length>0){if(G.length!==0&&G.length!==j.axes.length)throw Error('Resize requires "scales" input size to be of axes rank when axes attributes is specified');if(Z.length!==0&&Z.length!==j.axes.length)throw Error('Resize requires "sizes" input size to be of rank axes rank when axes attributes is specified')}if(typeof G<"u"&&typeof Z<"u"&&G.length>0&&Z.length>U)throw Error("Resize requires only of scales or sizes to be specified")},EJ=($,j,O,G)=>` + // The whole part and the fractional part are calculated separately due to inaccuracy of floating + // point division. As an example, f32(21) / f32(7) may evaluate to 2.99... instead of 3, causing an + // offset-by-one error later in floor(). + let big = (${$}) * (${j}); + let whole = ${G}(big / (${O})); + let fract = ${G}(big % (${O})) / ${G}(${O}); + return whole + fract; +`,iS=($,j)=>`fn getOriginalCoordinateFromResizedCoordinate(xResized: u32, xScale: f32, lengthResized: u32, + lengthOriginal: u32, roiStart: f32, roiEnd: f32) -> ${j} { `+(()=>{switch($){case"asymmetric":return` + if (xScale < 1.0 || floor(xScale) != xScale) { + return ${j}(xResized) / ${j}(xScale); + } else { + ${EJ("xResized","lengthOriginal","lengthResized",j)} + } + `;case"pytorch_half_pixel":return`if (lengthResized > 1) { + return (${j}(xResized) + 0.5) / ${j}(xScale) - 0.5; + } else { + return 0.0; + }`;case"tf_half_pixel_for_nn":return`return (${j}(xResized) + 0.5) / ${j}(xScale);`;case"align_corners":return`if (lengthResized == 1) { + return 0.0; + } else { + ${EJ("xResized","lengthOriginal - 1","lengthResized - 1",j)} + }`;case"tf_crop_and_resize":return`if (lengthResized > 1) { + return ${j}(roiStart) * ${j}(lengthOriginal - 1) + + (${j}(xResized) * ${j}(roiEnd - roiStart) * ${j}(lengthOriginal - 1)) / + ${j}(lengthResized - 1); + } else { + return 0.5 * ${j}(roiStart + roiEnd) * ${j}(lengthOriginal - 1); + }`;case"half_pixel_symmetric":return`const outputWidth = ${j}xScale * ${j}(lengthResized); + const adjustment = ${j}(lengthResized) / outputWidth; + const center = ${j}(lengthOriginal) / 2; + const offset = center * (1 - adjustment); + return offset + ((${j}(xResized) + 0.5) / ${j}(xScale)) - 0.5;`;case"half_pixel":return`return ((${j}(xResized) + 0.5) / ${j}(xScale)) - 0.5;`;default:throw Error(`Coordinate transform mode ${$} is not supported`)}})()+"}",aS=($,j,O)=>`fn getNearestPixelFromOriginal(xOriginal: ${O}, isDownSample: bool) -> ${O} {`+(()=>{switch($){case"round_prefer_ceil":return"if (fract(xOriginal) == 0.5) { return ceil(xOriginal); } else { return round(xOriginal); }";case"floor":return"return floor(xOriginal);";case"ceil":return"return ceil(xOriginal);";case"round_prefer_floor":return"if (fract(xOriginal) == 0.5) { return floor(xOriginal); } else { return round(xOriginal); }";default:if(j<11)return"if (isDownSample) { return ceil(xOriginal); } else { return xOriginal; }";throw Error(`Nearest mode ${$} is not supported`)}})()+"}",rS=($,j,O)=>{let G=Array(O).fill(0).concat(Array(O).fill(1)),Z=$.length===0?G:$.slice();return j.length>0?(j.forEach((V,N)=>{G[V]=Z[N],G[N+O]=Z[j.length+N]}),G):Z},nS=($,j,O,G)=>{let Z=[];if(O.length>0)if(G.length>0){if($.forEach((V)=>Z.push(V)),Math.max(...G)>$.length)throw Error("axes is out of bound");G.forEach((V,N)=>Z[V]=O[N])}else O.forEach((V)=>Z.push(V));else{if(j.length===0)throw Error("Resize requires either scales or sizes.");Z=$.map((V,N)=>Math.round(V*j[N]))}return Z},tS=($,j,O)=>{let G=(()=>{switch(O.keepAspectRatioPolicy){case"not_larger":return O.axes.length>0?Math.min(...O.axes.map((V)=>j[V]),Number.MAX_VALUE):Math.min(...j,Number.MAX_VALUE);case"not_smaller":return O.axes.length>0?Math.max(...O.axes.map((V)=>j[V]),Number.MIN_VALUE):Math.max(...j,Number.MIN_VALUE);default:throw Error(`Keep aspect ratio policy ${O.keepAspectRatioPolicy} is not supported`)}})();j.fill(1,0,j.length);let Z=$.slice();return O.axes.length>0?(O.axes.forEach((V)=>j[V]=G),O.axes.forEach((V)=>Z[V]=Math.round($[V]*j[V]))):(j.fill(G,0,j.length),Z.forEach((V,N)=>Z[N]=Math.round(V*j[N]))),Z},eS=($,j,O,G,Z)=>` + fn calculateOriginalIndicesFromOutputIndices(output_indices: ${$.type.indices}) -> array<${$.type.value}, ${O.length}> { + var original_indices: array<${$.type.value}, ${O.length}>; + for (var i:u32 = 0; i < ${O.length}; i++) { + var output_index = ${$.indicesGet("output_indices","i")}; + var scale = ${R6("uniforms.scales","i",G)}; + var roi_low = ${R6("uniforms.roi","i",Z)}; + var roi_hi = ${R6("uniforms.roi",`i + ${j.length}`,Z)}; + if (scale == 1.0) { + original_indices[i] = ${$.type.value}(output_index); + } else { + var input_shape_i = ${R6("uniforms.input_shape","i",j.length)}; + var output_shape_i = ${R6("uniforms.output_shape","i",O.length)}; + original_indices[i] = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i, + input_shape_i, roi_low, roi_hi); + } + } + return original_indices; + }`,$P=($,j,O,G,Z,V,N)=>` + fn calculateInputIndicesFromOutputIndices(output_indices: ${j.type.indices}) -> ${$.type.indices} { + var input_indices: ${$.type.indices}; + for (var i:u32 = 0; i < ${G.length}; i++) { + var output_index = ${j.indicesGet("output_indices","i")}; + var input_index: u32; + var scale = ${R6("uniforms.scales","i",Z)}; + if (scale == 1.0) { + input_index = output_index; + } else { + var roi_low = ${R6("uniforms.roi","i",V)}; + var roi_hi = ${R6("uniforms.roi",`i + ${O.length}`,V)}; + var input_shape_i = ${R6("uniforms.input_shape","i",O.length)}; + var output_shape_i = ${R6("uniforms.output_shape","i",G.length)}; + var original_idx = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i, + input_shape_i, roi_low, roi_hi); + if (!${N} || (original_idx >= 0 && original_idx < ${j.type.value}(input_shape_i))) { + if (original_idx < 0) { + input_index = 0; + } else if (original_idx > ${j.type.value}(input_shape_i - 1)) { + input_index = input_shape_i - 1; + } else { + input_index = u32(getNearestPixelFromOriginal(original_idx, scale < 1)); + } + } else { + input_index = u32(original_idx); + } + } + ${$.indicesSet("input_indices","i","input_index")} + } + return input_indices; + }`,jP=($,j)=>` + fn checkInputIndices(input_indices: ${$.type.indices}) -> bool { + for (var i:u32 = 0; i < ${j.length}; i++) { + var input_index = ${$.indicesGet("input_indices","i")}; + if (input_index < 0 || input_index >= ${R6("uniforms.input_shape","i",j.length)}) { + return false; + } + } + return true; + }`,QJ=($,j,O,G)=>$.rank>G?` + ${$.indicesSet("input_indices",j,"channel")}; + ${$.indicesSet("input_indices",O,"batch")}; +`:"",OP=($,j,O,G,Z)=>{let[V,N,J,R]=O.length===2?[-1,0,1,-1]:[0,2,3,1],U=$.type.value;return` + fn getInputValue(batch: u32, channel: u32, row: u32, col: u32) -> ${U} { + var input_indices: ${$.type.indices}; + ${$.indicesSet("input_indices",N,`max(0, min(row, ${O[N]} - 1))`)}; + ${$.indicesSet("input_indices",J,`max(0, min(col, ${O[J]} - 1))`)}; + ${QJ($,R,V,2)} + return ${$.getByIndices("input_indices")}; + } + + fn bilinearInterpolation(output_indices: ${j.type.indices}) -> ${U} { + var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices); + var row:${U} = originalIndices[${N}]; + var col:${U} = originalIndices[${J}]; + ${G?`if (row < 0 || row > (${O[N]} - 1) || col < 0 || col > (${O[J]} - 1)) { + return ${Z}; + }`:""}; + row = max(0, min(row, ${O[N]} - 1)); + col = max(0, min(col, ${O[J]} - 1)); + var row1: u32 = u32(row); + var col1: u32 = u32(col); + var row2: u32 = u32(row + 1); + var col2: u32 = u32(col + 1); + var channel: u32 = ${O.length>2?`u32(originalIndices[${R}])`:"0"}; + var batch: u32 = ${O.length>2?`u32(originalIndices[${V}])`:"0"}; + var x11: ${U} = getInputValue(batch, channel, row1, col1); + var x12: ${U} = getInputValue(batch, channel, row1, col2); + var x21: ${U} = getInputValue(batch, channel, row2, col1); + var x22: ${U} = getInputValue(batch, channel, row2, col2); + var dx1: ${U} = abs(row - ${U}(row1)); + var dx2: ${U} = abs(${U}(row2) - row); + var dy1: ${U} = abs(col - ${U}(col1)); + var dy2: ${U} = abs(${U}(col2) - col); + if (row1 == row2) { + dx1 = 0.5; + dx2 = 0.5; + } + if (col1 == col2) { + dy1 = 0.5; + dy2 = 0.5; + } + return (x11 * dx2 * dy2 + x12 * dx2 * dy1 + x21 * dx1 * dy2 + x22 * dx1 * dy1); + }`},GP=($,j,O,G,Z,V,N,J,R,U)=>{let H=O.length===2,[L,Y]=H?[0,1]:[2,3],S=$.type.value,X=(D)=>{let I=D===L?"row":"col";return` + fn ${I}CubicInterpolation(input_indices: ${$.type.indices}, output_indices: ${j.type.indices}) -> ${S} { + var output_index = ${j.indicesGet("output_indices",D)}; + var originalIdx: ${S} = getOriginalCoordinateFromResizedCoordinate(output_index, ${Z[D]}, + ${G[D]}, ${O[D]}, ${V[D]}, ${V[D]} + ${O.length}); + var fractOriginalIdx: ${S} = originalIdx - floor(originalIdx); + var coefs = getCubicInterpolationCoefs(fractOriginalIdx); + + if (${J} && (originalIdx < 0 || originalIdx > (${O[D]} - 1))) { + return ${R}; + } + var data: array<${S}, 4> = array<${S}, 4>(0.0, 0.0, 0.0, 0.0); + for (var i: i32 = -1; i < 3; i++) { + var ${I}: ${S} = originalIdx + ${S}(i); + if (${I} < 0 || ${I} >= ${O[D]}) { + ${U?`coefs[i + 1] = 0.0; + continue;`:J?`return ${R};`:`${I} = max(0, min(${I}, ${O[D]} - 1));`}; + } + var input_indices_copy: ${$.type.indices} = input_indices; + ${$.indicesSet("input_indices_copy",D,`u32(${I})`)}; + data[i + 1] = ${D===L?$.getByIndices("input_indices_copy"):"rowCubicInterpolation(input_indices_copy, output_indices)"}; + } + return cubicInterpolation1D(data, coefs); + }`};return` + ${X(L)}; + ${X(Y)}; + fn getCubicInterpolationCoefs(s: ${S}) -> array<${S}, 4> { + var absS = abs(s); + var coeffs: array<${S}, 4> = array<${S}, 4>(0.0, 0.0, 0.0, 0.0); + var oneMinusAbsS: ${S} = 1.0 - absS; + var twoMinusAbsS: ${S} = 2.0 - absS; + var onePlusAbsS: ${S} = 1.0 + absS; + coeffs[0] = ((${N} * onePlusAbsS - 5 * ${N}) * onePlusAbsS + 8 * ${N}) * onePlusAbsS - 4 * ${N}; + coeffs[1] = ((${N} + 2) * absS - (${N} + 3)) * absS * absS + 1; + coeffs[2] = ((${N} + 2) * oneMinusAbsS - (${N} + 3)) * oneMinusAbsS * oneMinusAbsS + 1; + coeffs[3] = ((${N} * twoMinusAbsS - 5 * ${N}) * twoMinusAbsS + 8 * ${N}) * twoMinusAbsS - 4 * ${N}; + return coeffs; + } + + fn cubicInterpolation1D(x: array<${S}, 4>, coefs: array<${S}, 4>) -> ${S} { + var coefsSum: ${S} = coefs[0] + coefs[1] + coefs[2] + coefs[3]; + return (x[0] * coefs[0] + x[1] * coefs[1]+ x[2] * coefs[2]+ x[3] * coefs[3]) / coefsSum; + } + + fn bicubicInterpolation(output_indices: ${j.type.indices}) -> ${S} { + var input_indices: ${$.type.indices} = output_indices; + return colCubicInterpolation(input_indices, output_indices); + } + `},ZP=($,j,O,G,Z)=>{let[V,N,J,R,U]=O.length===3?[-1,0,1,2,-1]:[0,2,3,4,1],H=$.type.value;return` + fn getInputValue(batch: u32, channel: u32, depth:u32, height: u32, width: u32) -> ${H} { + var input_indices: ${$.type.indices}; + ${$.indicesSet("input_indices",N,`max(0, min(depth, ${O[N]} - 1))`)}; + ${$.indicesSet("input_indices",J,`max(0, min(height, ${O[J]} - 1))`)}; + ${$.indicesSet("input_indices",R,`max(0, min(width, ${O[R]} - 1))`)}; + ${QJ($,U,V,3)} + return ${$.getByIndices("input_indices")}; + } + + fn trilinearInterpolation(output_indices: ${j.type.indices}) -> ${H} { + var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices); + var depth:${H} = originalIndices[${N}]; + var height:${H} = originalIndices[${J}]; + var width:${H} = originalIndices[${R}]; + ${G?`if (depth < 0 || depth > (${O[N]} - 1) || height < 0 || height > (${O[J]} - 1) || width < 0 || (width > ${O[R]} - 1)) { + return ${Z}; + }`:""}; + + depth = max(0, min(depth, ${O[N]} - 1)); + height = max(0, min(height, ${O[J]} - 1)); + width = max(0, min(width, ${O[R]} - 1)); + var depth1: u32 = u32(depth); + var height1: u32 = u32(height); + var width1: u32 = u32(width); + var depth2: u32 = u32(depth + 1); + var height2: u32 = u32(height + 1); + var width2: u32 = u32(width + 1); + var channel: u32 = ${O.length>3?`u32(originalIndices[${U}])`:"0"}; + var batch: u32 = ${O.length>3?`u32(originalIndices[${V}])`:"0"}; + + var x111: ${H} = getInputValue(batch, channel, depth1, height1, width1); + var x112: ${H} = getInputValue(batch, channel, depth1, height1, width2); + var x121: ${H} = getInputValue(batch, channel, depth1, height2, width1); + var x122: ${H} = getInputValue(batch, channel, depth1, height2, width2); + var x211: ${H} = getInputValue(batch, channel, depth2, height1, width1); + var x212: ${H} = getInputValue(batch, channel, depth2, height1, width2); + var x221: ${H} = getInputValue(batch, channel, depth2, height2, width1); + var x222: ${H} = getInputValue(batch, channel, depth2, height2, width2); + var dx1: ${H} = abs(depth - ${H}(depth1)); + var dx2: ${H} = abs(${H}(depth2) - depth); + var dy1: ${H} = abs(height - ${H}(height1)); + var dy2: ${H} = abs(${H}(height2) - height); + var dz1: ${H} = abs(width - ${H}(width1)); + var dz2: ${H} = abs(${H}(width2) - width); + if (depth1 == depth2) { + dx1 = 0.5; + dx2 = 0.5; + } + if (height1 == height2) { + dy1 = 0.5; + dy2 = 0.5; + } + if (width1 == width2) { + dz1 = 0.5; + dz2 = 0.5; + } + return (x111 * dx2 * dy2 * dz2 + x112 * dx2 * dy2 * dz1 + x121 * dx2 * dy1 *dz2 + x122 * dx2 * dy1 * dz1 + + x211 * dx1 * dy2 * dz2 + x212 * dx1 * dy2 * dz1 + x221 * dx1 * dy1 *dz2 + x222 * dx1 * dy1 * dz1); + }`},qP=($,j,O,G,Z,V)=>{let N=$.dims,J=rS(V,j.axes,N.length),R=nS(N,G,Z,j.axes),U=G.slice();G.length===0&&(U=N.map((k,z)=>k===0?1:R[z]/k),j.keepAspectRatioPolicy!=="stretch"&&(R=tS(N,U,j)));let H=t5("output",$.dataType,R.length),L=O5("input",$.dataType,N.length),Y=l0.size(R),S=N.length===R.length&&N.every((k,z)=>k===R[z]),X=j.coordinateTransformMode==="tf_crop_and_resize",D=j.extrapolationValue,I=L.type.value;return{name:"Resize",shaderCache:{hint:`${j.cacheKey}|${O}|${U.length>0?j.mode==="cubic"?U:U.length:""}|${Z.length>0?Z:""}|${J.length>0?J:""}|${S}|${j.mode==="nearest"?N.length:N}`,inputDependencies:["rank"]},getShaderSource:(k)=>` + ${S?"":` + ${iS(j.coordinateTransformMode,I)}; + ${(()=>{switch(j.mode){case"nearest":return` + ${jP(L,N)}; + ${aS(j.nearestMode,O,I)}; + ${$P(L,H,N,R,U.length,J.length,X)}; + `;case"linear":return` + ${eS(H,N,R,U.length,J.length)}; + ${(()=>{if(N.length===2||N.length===4)return`${OP(L,H,N,X,D)}`;if(N.length===3||N.length===5)return`${ZP(L,H,N,X,D)}`;throw Error("Linear mode only supports input dims 2, 3, 4 and 5 are supported in linear mode.")})()}; + `;case"cubic":return` + ${(()=>{if(N.length===2||N.length===4)return`${GP(L,H,N,R,U,J,j.cubicCoeffA,X,j.extrapolationValue,j.excludeOutside)}`;throw Error("Cubic mode only supports input dims 2 and 4 are supported in linear mode.")})()}; + `;default:throw Error("Invalid resize mode")}})()}; + `} + ${k.registerUniform("output_size","u32").registerUniform("scales","f32",U.length).registerUniform("roi","f32",J.length).declareVariables(L,H)} + ${k.mainStart()} + ${k.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + ${S?"output[global_idx] = input[global_idx];":` + let output_indices = ${H.offsetToIndices("global_idx")}; + var input_indices: ${L.type.indices}; + ${(()=>{switch(j.mode){case"nearest":return`input_indices = calculateInputIndicesFromOutputIndices(output_indices); + if (checkInputIndices(input_indices)) { + output[global_idx] = ${L.getByIndices("input_indices")}; + } else { + output[global_idx] = ${j.extrapolationValue}; + }`;case"linear":return`output[global_idx] = ${N.length===2||N.length===4?"bilinearInterpolation":"trilinearInterpolation"}(output_indices);`;case"cubic":return"output[global_idx] = bicubicInterpolation(output_indices);";default:throw Error(`Unsupported resize mode: ${j.mode}`)}})()}; +`} + }`,getRunData:()=>({outputs:[{dims:R,dataType:$.dataType}],dispatchGroup:{x:Math.ceil(Y/64)},programUniforms:[{type:12,data:Y},{type:1,data:U},{type:1,data:J},...j6(N,R)]})}},VP=($)=>{let j=$.customDataBuffer;return new Uint32Array(j,j.byteOffset,1)[0]},PI=($,j)=>{let O=[],G=[],Z=[],V=VP($);if(j.antialias!==0)throw Error("Only default value (0) for Antialias attribute is supported");sS($.inputs,j,V,O,G,Z),$.compute(qP($.inputs[0],j,V,O,G,Z),{inputs:[0]})},XI=($)=>{let{antialias:j,axes:O,coordinateTransformMode:G,cubicCoeffA:Z}=$,V=$.excludeOutside!==0,N=$.extrapolationValue,J=$.keepAspectRatioPolicy,R=$.mode,U=$.nearestMode===""?"simple":$.nearestMode;return j9({antialias:j,axes:O,coordinateTransformMode:G,cubicCoeffA:Z,excludeOutside:V,extrapolationValue:N,keepAspectRatioPolicy:J,mode:R,nearestMode:U})}}),JK=I5(()=>{Y6(),D6(),M6(),NP=($)=>{if(!$||$.length<3)throw Error("layerNorm requires at least 3 inputs.");let j=$[0],O=$[1],G=$[2];if(j.dataType!==O.dataType||j.dataType!==G.dataType)throw Error("All inputs must have the same data type");if(j.dims.length!==3&&j.dims.length!==2)throw Error("Input must be 2D or 3D");if(O.dims.length!==3&&O.dims.length!==2)throw Error("Skip must be 2D or 3D");let Z=j.dims[j.dims.length-1],V=j.dims[j.dims.length-2];if(O.dims[O.dims.length-1]!==Z)throw Error("Skip must have the same hidden size as input");if(O.dims[O.dims.length-2]!==V)throw Error("Skip must have the same sequence length as input");if(G.dims.length!==1)throw Error("Gamma must be 1D");if(G.dims[G.dims.length-1]!==Z)throw Error("Gamma must have the same hidden size as input");if($.length>3){let N=$[3];if(N.dims.length!==1)throw Error("Beta must be 1D");if(N.dims[N.dims.length-1]!==Z)throw Error("Beta must have the same hidden size as input")}if($.length>4){let N=$[4];if(N.dims.length!==1)throw Error("Bias must be 1D");if(N.dims[N.dims.length-1]!==Z)throw Error("Bias must have the same hidden size as input")}},JP=($,j,O,G)=>{let Z=j.simplified,V=$[0].dims,N=l0.size(V),J=V,R=N,U=V.slice(-1)[0],H=G?V.slice(0,-1).concat(1):[],L=!Z&&$.length>3,Y=$.length>4,S=G&&O>1,X=G&&O>2,D=O>3,I=64,k=K9(U),z=[{type:12,data:R},{type:12,data:k},{type:12,data:U},{type:1,data:j.epsilon}],w=[{dims:J,dataType:$[0].dataType}];return O>1&&w.push({dims:H,dataType:1}),O>2&&w.push({dims:H,dataType:1}),O>3&&w.push({dims:V,dataType:$[0].dataType}),{name:"SkipLayerNormalization",shaderCache:{hint:`${k};${S};${X};${D}`,inputDependencies:$.map((T,W)=>"type")},getShaderSource:(T)=>{let W=[O5("x",$[0].dataType,$[0].dims,k),O5("skip",$[1].dataType,$[1].dims,k),O5("gamma",$[2].dataType,$[2].dims,k)];L&&W.push(O5("beta",$[3].dataType,$[3].dims,k)),Y&&W.push(O5("bias",$[4].dataType,$[4].dims,k)),W.push(t5("output",$[0].dataType,J,k)),S&&W.push(t5("mean_output",1,H)),X&&W.push(t5("inv_std_output",1,H)),D&&W.push(t5("input_skip_bias_sum",$[0].dataType,J,k));let E=Z1($[0].dataType),Q=Z1(1,k);return` + + ${T.registerUniforms([{name:"output_size",type:"u32"},{name:"components",type:"u32"},{name:"hidden_size",type:"u32"},{name:"epsilon",type:"f32"}]).declareVariables(...W)} + var sum_shared : array<${Q}, 64>; + var sum_squared_shared : array<${Q}, 64>; + + ${T.mainStart([I,1,1])} + let ix = local_id.x; + let iy = global_id.x / 64; + + let hidden_size_vectorized: u32 = uniforms.hidden_size / uniforms.components; + var stride = hidden_size_vectorized / 64; + let offset = ix * stride + iy * hidden_size_vectorized; + let offset1d = stride * ix; + if (ix == 63) { + stride = hidden_size_vectorized - stride * ix; + } + for (var i: u32 = 0; i < stride; i++) { + let skip_value = skip[offset + i]; + let bias_value = ${Y?"bias[offset1d + i]":E+"(0.0)"}; + let input_value = x[offset + i]; + let value = input_value + skip_value + bias_value; + ${D?"input_skip_bias_sum[offset + i] = value;":""} + output[offset + i] = value; + let f32_value = ${yG(E,k,"value")}; + sum_shared[ix] += f32_value; + sum_squared_shared[ix] += f32_value * f32_value; + } + workgroupBarrier(); + + var reduce_size : u32 = 64; + for (var curr_size = reduce_size >> 1; curr_size > 0; curr_size = reduce_size >> 1) { + reduce_size = curr_size + (reduce_size & 1); + if (ix < curr_size) { + sum_shared[ix] += sum_shared[ix + reduce_size]; + sum_squared_shared[ix] += sum_squared_shared[ix + reduce_size]; + } + workgroupBarrier(); + } + + let sum = sum_shared[0]; + let square_sum = sum_squared_shared[0]; + let mean = ${N7("sum",k)} / f32(uniforms.hidden_size); + let inv_std_dev = inverseSqrt(${N7("square_sum",k)} / f32(uniforms.hidden_size) ${Z?"":"- mean * mean"} + uniforms.epsilon); + ${S?"mean_output[global_idx] = mean;":""} + ${X?"inv_std_output[global_idx] = inv_std_dev;":""} + + for (var i: u32 = 0; i < stride; i++) { + output[offset + i] = (output[offset + i] ${Z?"":`- ${E}(mean)`}) * + ${E}(inv_std_dev) * gamma[offset1d + i] + ${L?"+ beta[offset1d + i]":""}; + } + }`},getRunData:()=>({outputs:w,dispatchGroup:{x:Math.ceil(R/U)},programUniforms:z})}},TI=($,j)=>{NP($.inputs);let O=[0];$.outputCount>1&&O.push(-3),$.outputCount>2&&O.push(-3),$.outputCount>3&&O.push(3),$.compute(JP($.inputs,j,$.outputCount,!1),{outputs:O})}}),vK=I5(()=>{Y6(),D6(),B9(),M6(),vP=($,j)=>{if(!$||$.length<1)throw Error("too few inputs");if(j.axes.length!==0){if(j.axes.length!==j.starts.length||j.axes.length!==j.ends.length)throw Error("axes, starts and ends must have the same length")}else if(j.starts.length!==j.ends.length)throw Error("starts and ends must have the same 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${R6("uniforms.steps","i",O.length)}; + let signs_i = ${R6("uniforms.signs","i",O.length)}; + let starts_i = ${R6("uniforms.starts","i",O.length)}; + var output_index = ${j.indicesGet("output_indices","i")}; + var input_index = output_index * steps_i + starts_i + carry; + carry = input_index / input_shape_i; + input_index = input_index % input_shape_i; + if (signs_i < 0) { + input_index = input_shape_i - input_index - 1u + starts_i; + } + ${$.indicesSet("input_indices","i","input_index")}; + } + return input_indices; + }`,HP=($,j)=>{let O=$[0].dims,G=l0.size(O),Z=j.axes.length>0?l0.normalizeAxes(j.axes,O.length):[...Array(O.length).keys()],V=DZ($,4);V.forEach((I)=>I!==0||(()=>{throw Error("step cannot be 0")})),V.length===0&&(V=Array(Z.length).fill(1));let N=j.starts.map((I,k)=>CJ(I,k,O,Z,V)),J=j.ends.map((I,k)=>CJ(I,k,O,Z,V));if(Z.length!==N.length||Z.length!==J.length)throw Error("start, ends and axes should have the same number of elements");if(Z.length!==O.length)for(let I=0;IMath.sign(I));V.forEach((I,k,z)=>{if(I<0){let w=(J[k]-N[k])/I,T=N[k],W=T+w*V[k];N[k]=W,J[k]=T,z[k]=-I}});let U=O.slice(0);Z.forEach((I,k)=>{U[I]=Math.ceil((J[I]-N[I])/V[I])});let H={dims:U,dataType:$[0].dataType},L=t5("output",$[0].dataType,U.length),Y=O5("input",$[0].dataType,$[0].dims.length),S=l0.size(U),X=[{name:"outputSize",type:"u32"},{name:"starts",type:"u32",length:N.length},{name:"signs",type:"i32",length:R.length},{name:"steps",type:"u32",length:V.length}],D=[{type:12,data:S},{type:12,data:N},{type:6,data:R},{type:12,data:V},...j6($[0].dims,U)];return{name:"Slice",shaderCache:{hint:`${R.length}_${N.length}_${V.length}`,inputDependencies:["rank"]},getShaderSource:(I)=>` + ${I.registerUniforms(X).declareVariables(Y,L)} + ${UP(Y,L,O)} + ${I.mainStart()} + ${I.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + let output_indices = ${L.offsetToIndices("global_idx")}; + let input_indices = calculateInputIndices(output_indices); + ${L.setByOffset("global_idx",Y.getByIndices("input_indices"))} + }`,getRunData:()=>({outputs:[H],dispatchGroup:{x:Math.ceil(G/64)},programUniforms:D})}},FI=($,j)=>{vP($.inputs,j);let O=RP($.inputs,j);$.compute(HP($.inputs,O),{inputs:[0]})},yI=($)=>{let{starts:j,ends:O,axes:G}=$;return j9({starts:j,ends:O,axes:G})}}),RK=I5(()=>{Y6(),D6(),B9(),v7(),M6(),xP=($)=>{if(!$||$.length!==1)throw Error("Softmax op requires 1 input.")},LP=($,j)=>{let O,G=$.inputs[0],Z=G.dims,V=l0.size(Z),N=Z.length,J=l0.normalizeAxis(j.axis,N),R=JE),U[J]=N-1,U[N-1]=J,O=$.compute(X2(G,U),{inputs:[G],outputs:[-1]})[0]):O=G;let H=O.dims,L=H[N-1],Y=V/L,S=K9(L),X=L/S,D=64;Y===1&&(D=256);let I=O5("x",O.dataType,O.dims,S),k=t5("result",O.dataType,O.dims,S),z=I.type.value,w=Z1(O.dataType)==="f32"?`var threadMax = ${z}(-3.402823e+38f);`:`var threadMax = 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threadMax = max(threadMax, value); + } + if (lindex < cols) { + threadShared[lindex] = threadMax; + } + workgroupBarrier(); + + var reduceSize = min(cols, wg); + for (var currSize = reduceSize >> 1; currSize > 0; currSize = reduceSize >> 1) { + reduceSize = currSize + (reduceSize & 1); + if (lindex < currSize) { + threadShared[lindex] = max(threadShared[lindex], threadShared[lindex + reduceSize]); + } + workgroupBarrier(); + } + if (lindex == 0) { + rowMaxShared = ${z}(${((E,Q)=>Q===4?`max(max(${E}.x, ${E}.y), max(${E}.z, ${E}.w))`:Q===2?`max(${E}.x, ${E}.y)`:Q===3?`max(max(${E}.x, ${E}.y), ${E}.z)`:E)("threadShared[0]",S)}); + } + workgroupBarrier(); + + // find the rows sum + var threadSum = ${z}(0.0); + for (var col = lindex; col < cols; col += wg) { + let subExp = exp(getValue(row, col, row_stride) - rowMaxShared); + threadSum += subExp; + } + threadShared[lindex] = threadSum; + workgroupBarrier(); + + for (var currSize = wg >> 1; currSize > 0; currSize = currSize >> 1) { + if (lindex < currSize) { + threadShared[lindex] = threadShared[lindex] + threadShared[lindex + currSize]; + } + workgroupBarrier(); + } + if (lindex == 0) { + rowSumShared = ${z}(${N7("threadShared[0]",S)}); + } + workgroupBarrier(); + + // calculate final value for each element in the row + for (var col = lindex; col < cols; col += wg) { + let value = exp(getValue(row, col, row_stride) - rowMaxShared) / rowSumShared; + setValue(row, col, row_stride, value); + } + }`},{inputs:[O],outputs:[R?-1:0]})[0];R&&$.compute(X2(T,U),{inputs:[T]})},zI=($,j)=>{xP($.inputs),LP($,j)},kI=($)=>j9({axis:$.axis})}),UK=I5(()=>{Y6(),D6(),M6(),BJ=($)=>Array.from($.getBigInt64Array(),Number),_P=($)=>{if(!$||$.length!==2)throw Error("Tile requires 2 inputs.");if($[0].dataType!==1&&$[0].dataType!==10&&$[0].dataType!==6&&$[0].dataType!==12)throw Error("Tile only support float, float16, int32, and uint32 data types");if($[1].dataType!==7)throw Error("Tile `repeats` input should be of int64 data 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i++) { + let input_dim_i = ${J.indicesGet("uniforms.input_shape","i")}; + let input_dim_value = ${R.indicesGet("output_indices","i")} % input_dim_i; + + ${J.indicesSet("input_indices","i","input_dim_value")} + } + ${R.setByOffset("global_idx",J.getByIndices("input_indices"))} + }`}},II=($)=>{_P($.inputs),$.compute(SP($.inputs),{inputs:[0]})}}),HK=I5(()=>{Y6(),D6(),M6(),PP=($,j,O,G,Z)=>{let V,N=t5("output_data",Z,O.length,4),J=O5("a_data",j[1].dataType,j[1].dims.length,4),R=O5("b_data",j[2].dataType,j[2].dims.length,4),U=O5("c_data",j[0].dataType,j[0].dims.length,4),H=(L,Y,S)=>`select(${Y}, ${L}, ${S})`;if(G){let L=(Y,S,X="")=>{let D=`a_data[index_a${S}][component_a${S}]`,I=`b_data[index_b${S}][component_b${S}]`,k=`bool(c_data[index_c${S}] & (0xffu << (component_c${S} * 8)))`;return` + let output_indices${S} = ${N.offsetToIndices(`global_idx * 4u + ${S}u`)}; + let offset_a${S} = ${J.broadcastedIndicesToOffset(`output_indices${S}`,N)}; + let offset_b${S} = 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The following inputs will be ignored: "${a5.join(", ")}".`)}return G5}(c,L0);try{let C0=Object.fromEntries(Object.entries(K0).map(([G5,X5])=>[G5,X5.ort_tensor])),o0=()=>c.run(C0);return p0(await(k.apis.IS_BROWSER_ENV||k.apis.IS_WEBWORKER_ENV?R0=R0.then(o0):o0()))}catch(C0){let o0=Object.fromEntries(Object.entries(K0).map(([G5,X5])=>{let K5={type:X5.type,dims:X5.dims,location:X5.location};return K5.location!=="gpu-buffer"&&(K5.data=X5.data),[G5,K5]}));throw console.error(`An error occurred during model execution: "${C0}".`),console.error("Inputs given to model:",o0),C0}}function p0(c){for(let L0 in c)(0,Z.isONNXTensor)(c[L0])?c[L0]=new Y.Tensor(c[L0]):typeof c[L0]=="object"&&p0(c[L0]);return c}function Z0(c){if(c instanceof Y.Tensor)return c;if(c.length===0)throw Error("items must be non-empty");if(Array.isArray(c[0])){if(c.some((L0)=>L0.length!==c[0].length))throw Error("Unable to create tensor, you should probably activate truncation and/or padding with 'padding=True' and/or 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c.encode_text({input_ids:L0.input_ids})}if(K0.inputNames.includes("token_type_ids")&&!C0.token_type_ids){if(!C0.input_ids)throw Error("Both `input_ids` and `token_type_ids` are missing in the model inputs.");C0.token_type_ids=(0,Y.zeros_like)(C0.input_ids)}if(K0.inputNames.includes("pixel_mask")&&!C0.pixel_mask){if(!C0.pixel_values)throw Error("Both `pixel_values` and `pixel_mask` are missing in the model inputs.");let o0=C0.pixel_values.dims;C0.pixel_mask=(0,Y.ones)([o0[0],o0[2],o0[3]])}return await q0(K0,C0)}async function e0(c,L0){let K0=await c.encode(L0);return await c.decode(K0)}async function N0(c,L0,K0=!1){let C0=c.sessions[K0?"decoder_model_merged":"model"],{past_key_values:o0,...G5}=L0;if(C0.inputNames.includes("use_cache_branch")&&(G5.use_cache_branch=M0(!!o0)),C0.inputNames.includes("position_ids")&&G5.attention_mask&&!G5.position_ids){let K5=["paligemma","gemma3_text","gemma3"].includes(c.config.model_type)?1:0;G5.position_ids=function(u5,a5=null,m5=0){let{input_ids:F6,inputs_embeds:A5,attention_mask:i6}=u5,{data:O6,dims:e5}=J5(i6,m5),E6=new Y.Tensor("int64",O6,e5);if(a5){let a6=-(F6??A5).dims.at(1);E6=E6.slice(null,[a6,null])}return E6}(G5,o0,K5)}c.addPastKeyValues(G5,o0);let X5=(0,J.pick)(G5,C0.inputNames);return await q0(C0,X5)}function P0({modality_token_id:c,inputs_embeds:L0,modality_features:K0,input_ids:C0,attention_mask:o0}){let G5=C0.tolist().map((a5)=>a5.reduce((m5,F6,A5)=>(F6==c&&m5.push(A5),m5),[])),X5=G5.reduce((a5,m5)=>a5+m5.length,0),K5=K0.dims[0];if(X5!==K5)throw Error(`Number of tokens and features do not match: tokens: ${X5}, features ${K5}`);let u5=0;for(let a5=0;a5G5.dims[1]);else if(o0K5==c.config.image_token_index)){let K5=c.config.num_image_tokens;if(!K5)throw Error("`num_image_tokens` is missing in the model configuration.");let u5=G5.dims[1]-(o0-K5);K0.input_ids=G5.slice(null,[-u5,null]),K0.attention_mask=(0,Y.ones)([1,o0+u5])}}return K0}function y5(c,L0,K0,C0){return K0.past_key_values&&(L0=L0.map((o0)=>[o0.at(-1)])),{...K0,decoder_input_ids:Z0(L0)}}function R5(c,...L0){return c.config.is_encoder_decoder?y5(c,...L0):t0(c,...L0)}function U5(c,L0,K0,C0){let o0=!!K0.past_key_values;if(C0.guidance_scale!==null&&C0.guidance_scale>1&&(o0?K0.input_ids=(0,Y.cat)([K0.input_ids,K0.input_ids],0):(K0.input_ids=(0,Y.cat)([K0.input_ids,(0,Y.full_like)(K0.input_ids,BigInt(C0.pad_token_id))],0),K0.attention_mask=(0,Y.cat)([K0.attention_mask,(0,Y.full_like)(K0.attention_mask,0n)],0))),!o0&&K0.pixel_values||(K0.pixel_values=(0,Y.full)([0,0,3,384,384],1)),o0)K0.images_seq_mask=new Y.Tensor("bool",[,].fill(!0).fill(!1,0,1),[1,1]),K0.images_emb_mask=new Y.Tensor("bool",[].fill(!1),[1,1,0]);return K0}class T0 extends N.Callable{main_input_name="input_ids";forward_params=["input_ids","attention_mask"];constructor(c,L0,K0){super(),this.config=c,this.sessions=L0,this.configs=K0;let C0=F0.get(this.constructor),o0=G0.get(C0);switch(this.can_generate=!1,this._forward=null,this._prepare_inputs_for_generation=null,o0){case A:this.can_generate=!0,this._forward=N0,this._prepare_inputs_for_generation=t0;break;case E:case Q:case e:this.can_generate=!0,this._forward=q5,this._prepare_inputs_for_generation=y5;break;case W:this._forward=q5;break;case r:this.can_generate=!0,this._forward=g0,this._prepare_inputs_for_generation=R5;break;case $0:this.can_generate=!0,this._forward=r0,this._prepare_inputs_for_generation=R5;break;case v0:this.can_generate=!0,this._prepare_inputs_for_generation=R5;break;case V0:this.can_generate=!0,this._prepare_inputs_for_generation=U5;break;case i:this._forward=e0;break;default:this._forward=E0}this.can_generate&&this.forward_params.push("past_key_values"),this.custom_config=this.config["transformers.js_config"]??{}}async dispose(){let c=[];for(let L0 of Object.values(this.sessions))L0?.handler?.dispose&&c.push(L0.handler.dispose());return await Promise.all(c)}static async from_pretrained(c,{progress_callback:L0=null,config:K0=null,cache_dir:C0=null,local_files_only:o0=!1,revision:G5="main",model_file_name:X5=null,subfolder:K5="onnx",device:u5=null,dtype:a5=null,use_external_data_format:m5=null,session_options:F6={}}={}){let A5={progress_callback:L0,config:K0,cache_dir:C0,local_files_only:o0,revision:G5,model_file_name:X5,subfolder:K5,device:u5,dtype:a5,use_external_data_format:m5,session_options:F6},i6=F0.get(this),O6=G0.get(i6),e5;if(K0=A5.config=await G.AutoConfig.from_pretrained(c,A5),O6===A)e5=await Promise.all([s(c,{model:A5.model_file_name??"model"},A5),n(c,{generation_config:"generation_config.json"},A5)]);else if(O6===E||O6===Q)e5=await Promise.all([s(c,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},A5),n(c,{generation_config:"generation_config.json"},A5)]);else if(O6===l)e5=await Promise.all([s(c,{model:"vision_encoder",prompt_encoder_mask_decoder:"prompt_encoder_mask_decoder"},A5)]);else if(O6===W)e5=await Promise.all([s(c,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},A5)]);else if(O6===r){let E6={embed_tokens:"embed_tokens",vision_encoder:"vision_encoder",decoder_model_merged:"decoder_model_merged"};K0.is_encoder_decoder&&(E6.model="encoder_model"),e5=await Promise.all([s(c,E6,A5),n(c,{generation_config:"generation_config.json"},A5)])}else if(O6===$0)e5=await Promise.all([s(c,{embed_tokens:"embed_tokens",audio_encoder:"audio_encoder",decoder_model_merged:"decoder_model_merged"},A5),n(c,{generation_config:"generation_config.json"},A5)]);else if(O6===e)e5=await Promise.all([s(c,{model:"text_encoder",decoder_model_merged:"decoder_model_merged",encodec_decode:"encodec_decode"},A5),n(c,{generation_config:"generation_config.json"},A5)]);else if(O6===V0)e5=await Promise.all([s(c,{prepare_inputs_embeds:"prepare_inputs_embeds",model:"language_model",lm_head:"lm_head",gen_head:"gen_head",gen_img_embeds:"gen_img_embeds",image_decode:"image_decode"},A5),n(c,{generation_config:"generation_config.json"},A5)]);else if(O6===v0)e5=await Promise.all([s(c,{prepare_inputs_embeds:"prepare_inputs_embeds",model:"model",vision_encoder:"vision_encoder"},A5),n(c,{generation_config:"generation_config.json"},A5)]);else if(O6===i)e5=await Promise.all([s(c,{encoder_model:"encoder_model",decoder_model:"decoder_model"},A5)]);else{if(O6!==T){let E6=i6??K0?.model_type;E6!=="custom"&&console.warn(`Model type for '${E6}' not found, assuming encoder-only architecture. Please report this at ${U.GITHUB_ISSUE_URL}.`)}e5=await Promise.all([s(c,{model:A5.model_file_name??"model"},A5)])}return new this(K0,...e5)}async _call(c){return await this.forward(c)}async forward(c){return await this._forward(this,c)}get generation_config(){return this.configs?.generation_config??null}_get_logits_warper(c){let L0=new H.LogitsProcessorList;return c.temperature!==null&&c.temperature!==1&&L0.push(new H.TemperatureLogitsWarper(c.temperature)),c.top_k!==null&&c.top_k!==0&&L0.push(new H.TopKLogitsWarper(c.top_k)),c.top_p!==null&&c.top_p<1&&L0.push(new H.TopPLogitsWarper(c.top_p)),L0}_get_logits_processor(c,L0,K0=null){let C0=new H.LogitsProcessorList;if(c.repetition_penalty!==null&&c.repetition_penalty!==1&&C0.push(new H.RepetitionPenaltyLogitsProcessor(c.repetition_penalty)),c.no_repeat_ngram_size!==null&&c.no_repeat_ngram_size>0&&C0.push(new H.NoRepeatNGramLogitsProcessor(c.no_repeat_ngram_size)),c.bad_words_ids!==null&&C0.push(new H.NoBadWordsLogitsProcessor(c.bad_words_ids,c.eos_token_id)),c.min_length!==null&&c.eos_token_id!==null&&c.min_length>0&&C0.push(new H.MinLengthLogitsProcessor(c.min_length,c.eos_token_id)),c.min_new_tokens!==null&&c.eos_token_id!==null&&c.min_new_tokens>0&&C0.push(new H.MinNewTokensLengthLogitsProcessor(L0,c.min_new_tokens,c.eos_token_id)),c.forced_bos_token_id!==null&&C0.push(new H.ForcedBOSTokenLogitsProcessor(c.forced_bos_token_id)),c.forced_eos_token_id!==null&&C0.push(new H.ForcedEOSTokenLogitsProcessor(c.max_length,c.forced_eos_token_id)),c.begin_suppress_tokens!==null){let o0=L0>1||c.forced_bos_token_id===null?L0:L0+1;C0.push(new H.SuppressTokensAtBeginLogitsProcessor(c.begin_suppress_tokens,o0))}return c.guidance_scale!==null&&c.guidance_scale>1&&C0.push(new H.ClassifierFreeGuidanceLogitsProcessor(c.guidance_scale)),K0!==null&&C0.extend(K0),C0}_prepare_generation_config(c,L0,K0=L.GenerationConfig){let C0={...this.config};for(let G5 of["decoder","generator","text_config"])G5 in C0&&Object.assign(C0,C0[G5]);let o0=new K0(C0);return Object.assign(o0,this.generation_config??{}),c&&Object.assign(o0,c),L0&&Object.assign(o0,(0,J.pick)(L0,Object.getOwnPropertyNames(o0))),o0}_get_stopping_criteria(c,L0=null){let K0=new D.StoppingCriteriaList;return c.max_length!==null&&K0.push(new D.MaxLengthCriteria(c.max_length,this.config.max_position_embeddings??null)),c.eos_token_id!==null&&K0.push(new D.EosTokenCriteria(c.eos_token_id)),L0&&K0.extend(L0),K0}_validate_model_class(){if(!this.can_generate){let c=[gG,uG,AG,f8],L0=F0.get(this.constructor),K0=new Set,C0=this.config.model_type;for(let G5 of c){let X5=G5.get(C0);X5&&K0.add(X5[0])}let o0=`The current model class (${L0}) is not compatible with \`.generate()\`, as it doesn't have a language model head.`;throw K0.size>0&&(o0+=` Please use the following class instead: ${[...K0].join(", ")}`),Error(o0)}}prepare_inputs_for_generation(...c){return this._prepare_inputs_for_generation(this,...c)}_update_model_kwargs_for_generation({generated_input_ids:c,outputs:L0,model_inputs:K0,is_encoder_decoder:C0}){return K0.past_key_values=this.getPastKeyValues(L0,K0.past_key_values),K0.input_ids=new Y.Tensor("int64",c.flat(),[c.length,1]),C0||(K0.attention_mask=(0,Y.cat)([K0.attention_mask,(0,Y.ones)([K0.attention_mask.dims[0],1])],1)),K0.position_ids=null,K0}_prepare_model_inputs({inputs:c,bos_token_id:L0,model_kwargs:K0}){let C0=(0,J.pick)(K0,this.forward_params),o0=this.main_input_name;if(o0 in C0){if(c)throw Error("`inputs`: {inputs}` were passed alongside {input_name} which is not allowed. Make sure to either pass {inputs} or {input_name}=...")}else C0[o0]=c;return{inputs_tensor:C0[o0],model_inputs:C0,model_input_name:o0}}async _prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:c,model_inputs:L0,model_input_name:K0,generation_config:C0}){if(this.sessions.model.inputNames.includes("inputs_embeds")&&!L0.inputs_embeds&&"_prepare_inputs_embeds"in this){let{input_ids:G5,pixel_values:X5,attention_mask:K5,...u5}=L0,a5=await this._prepare_inputs_embeds(L0);L0={...u5,...(0,J.pick)(a5,["inputs_embeds","attention_mask"])}}let{last_hidden_state:o0}=await E0(this,L0);if(C0.guidance_scale!==null&&C0.guidance_scale>1)o0=(0,Y.cat)([o0,(0,Y.full_like)(o0,0)],0),"attention_mask"in L0&&(L0.attention_mask=(0,Y.cat)([L0.attention_mask,(0,Y.zeros_like)(L0.attention_mask)],0));else if(L0.decoder_input_ids){let G5=Z0(L0.decoder_input_ids).dims[0];if(G5!==o0.dims[0]){if(o0.dims[0]!==1)throw Error(`The encoder outputs have a different batch size (${o0.dims[0]}) than the decoder inputs (${G5}).`);o0=(0,Y.cat)(Array.from({length:G5},()=>o0),0)}}return L0.encoder_outputs=o0,L0}_prepare_decoder_input_ids_for_generation({batch_size:c,model_input_name:L0,model_kwargs:K0,decoder_start_token_id:C0,bos_token_id:o0,generation_config:G5}){let{decoder_input_ids:X5,...K5}=K0;if(!(X5 instanceof Y.Tensor)){if(X5)Array.isArray(X5[0])||(X5=Array.from({length:c},()=>X5));else if(C0??=o0,this.config.model_type==="musicgen")X5=Array.from({length:c*this.config.decoder.num_codebooks},()=>[C0]);else if(Array.isArray(C0)){if(C0.length!==c)throw Error(`\`decoder_start_token_id\` expcted to have length ${c} but got ${C0.length}`);X5=C0}else X5=Array.from({length:c},()=>[C0]);X5=Z0(X5)}return K0.decoder_attention_mask=(0,Y.ones_like)(X5),{input_ids:X5,model_inputs:K5}}async generate({inputs:c=null,generation_config:L0=null,logits_processor:K0=null,stopping_criteria:C0=null,streamer:o0=null,...G5}){this._validate_model_class(),L0=this._prepare_generation_config(L0,G5);let{inputs_tensor:X5,model_inputs:K5,model_input_name:u5}=this._prepare_model_inputs({inputs:c,model_kwargs:G5}),a5=this.config.is_encoder_decoder,m5;a5&&(("encoder_outputs"in K5)||(K5=await this._prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:X5,model_inputs:K5,model_input_name:u5,generation_config:L0}))),a5?{input_ids:m5,model_inputs:K5}=this._prepare_decoder_input_ids_for_generation({batch_size:K5[u5].dims.at(0),model_input_name:u5,model_kwargs:K5,decoder_start_token_id:L0.decoder_start_token_id,bos_token_id:L0.bos_token_id,generation_config:L0}):m5=K5[u5];let F6=m5.dims.at(-1);L0.max_new_tokens!==null&&(L0.max_length=F6+L0.max_new_tokens);let A5=this._get_logits_processor(L0,F6,K0),i6=this._get_stopping_criteria(L0,C0),O6=K5[u5].dims.at(0),e5=I.LogitsSampler.getSampler(L0),E6=Array(O6).fill(0),a6=m5.tolist(),H9;o0&&o0.put(a6);let l9={};for(;;){if(K5=this.prepare_inputs_for_generation(a6,K5,L0),H9=await this.forward(K5),L0.output_attentions&&L0.return_dict_in_generate){let P=this.getAttentions(H9);for(let F in P)F in l9||(l9[F]=[]),l9[F].push(P[F])}let v=A5(a6,H9.logits.slice(null,-1,null)),x=[];for(let P=0;PP))break;K5=this._update_model_kwargs_for_generation({generated_input_ids:x,outputs:H9,model_inputs:K5,is_encoder_decoder:a5})}o0&&o0.end();let i9=this.getPastKeyValues(H9,K5.past_key_values,!0),q=new Y.Tensor("int64",a6.flat(),[a6.length,a6[0].length]);if(L0.return_dict_in_generate)return{sequences:q,past_key_values:i9,...l9};for(let v of Object.values(H9))v.location==="gpu-buffer"&&v.dispose();return q}getPastKeyValues(c,L0,K0=!1){let C0=Object.create(null);for(let o0 in c)if(o0.startsWith("present")){let G5=o0.replace("present","past_key_values"),X5=o0.includes("encoder");if(C0[G5]=X5&&L0?L0[G5]:c[o0],L0&&(!X5||K0)){let K5=L0[G5];K5.location==="gpu-buffer"&&K5.dispose()}}return C0}getAttentions(c){let L0={};for(let K0 of["cross_attentions","encoder_attentions","decoder_attentions"])for(let C0 in c)C0.startsWith(K0)&&((K0 in L0)||(L0[K0]=[]),L0[K0].push(c[C0]));return L0}addPastKeyValues(c,L0){if(L0)Object.assign(c,L0);else{let K0=this.sessions.decoder_model_merged??this.sessions.model,C0=K0?.config?.kv_cache_dtype??"float32",o0=C0==="float16"?new Y.DataTypeMap.float16:[],G5=(c[this.main_input_name]??c.attention_mask)?.dims?.[0]??1,X5=(0,G.getKeyValueShapes)(this.config,{batch_size:G5});for(let K5 in X5)c[K5]=new Y.Tensor(C0,o0,X5[K5])}}async encode_image({pixel_values:c}){let L0=(await q0(this.sessions.vision_encoder,{pixel_values:c})).image_features;return this.config.num_image_tokens||(console.warn(`The number of image tokens was not set in the model configuration. Setting it to the number of features detected by the vision encoder (${L0.dims[1]}).`),this.config.num_image_tokens=L0.dims[1]),L0}async encode_text({input_ids:c}){return(await q0(this.sessions.embed_tokens,{input_ids:c})).inputs_embeds}async encode_audio({audio_values:c}){return(await q0(this.sessions.audio_encoder,{audio_values:c})).audio_features}}class s0{}class D5 extends s0{constructor({last_hidden_state:c,hidden_states:L0=null,attentions:K0=null}){super(),this.last_hidden_state=c,this.hidden_states=L0,this.attentions=K0}}class L5 extends T0{}class d5 extends L5{}class T5 extends L5{async _call(c){return new W9(await super._call(c))}}class $5 extends L5{async _call(c){return new H6(await super._call(c))}}class V5 extends L5{async _call(c){return new F9(await super._call(c))}}class U6 extends L5{async _call(c){return new d9(await super._call(c))}}class t extends T0{}class y0 extends t{}class O0 extends t{async _call(c){return new W9(await super._call(c))}}class I0 extends t{async _call(c){return new H6(await super._call(c))}}class w0 extends t{async _call(c){return new F9(await super._call(c))}}class H5 extends T0{}class N5 extends H5{}class g5 extends T0{}class Q5 extends g5{}class S5 extends g5{async _call(c){return new W9(await super._call(c))}}class K6 extends g5{async _call(c){return new H6(await super._call(c))}}class Y5 extends g5{async _call(c){return new F9(await super._call(c))}}class w6 extends g5{async _call(c){return new d9(await super._call(c))}}class Z6 extends T0{}class c6 extends Z6{}class Y9 extends Z6{async _call(c){return new W9(await super._call(c))}}class y9 extends Z6{async _call(c){return new H6(await super._call(c))}}class V6 extends Z6{async _call(c){return new F9(await super._call(c))}}class a9 extends Z6{async _call(c){return new d9(await super._call(c))}}class I9 extends T0{}class z6 extends I9{}class _5 extends I9{async _call(c){return new W9(await super._call(c))}}class E5 extends I9{async _call(c){return new H6(await super._call(c))}}class v5 extends I9{async _call(c){return new F9(await super._call(c))}}class o6 extends I9{async _call(c){return new d9(await super._call(c))}}class b9 extends T0{}class H1 extends b9{}class x1 extends b9{async _call(c){return new W9(await super._call(c))}}class o9 extends b9{async _call(c){return new H6(await super._call(c))}}class L1 extends b9{async _call(c){return new F9(await super._call(c))}}class _1 extends b9{async _call(c){return new d9(await super._call(c))}}class z9 extends T0{}class D9 extends z9{}class p9 extends z9{async _call(c){return new W9(await super._call(c))}}class J9 extends z9{async _call(c){return new H6(await super._call(c))}}class Y1 extends z9{async _call(c){return new F9(await super._call(c))}}class t6 extends z9{async _call(c){return new d9(await super._call(c))}}class f9 extends T0{}class r9 extends f9{}class G9 extends f9{async _call(c){return new W9(await super._call(c))}}class S1 extends f9{async _call(c){return new H6(await super._call(c))}}class A1 extends f9{async _call(c){return new F9(await super._call(c))}}class x9 extends f9{async _call(c){return new d9(await super._call(c))}}class q1 extends T0{}class n9 extends q1{}class v9 extends q1{async _call(c){return new H6(await super._call(c))}}class L6 extends q1{async _call(c){return new F9(await super._call(c))}}class m6 extends q1{async _call(c){return new d9(await super._call(c))}}class p6 extends q1{async _call(c){return new W9(await super._call(c))}}class B0 extends T0{}class P1 extends B0{}class g1 extends B0{async _call(c){return new W9(await super._call(c))}}class u1 extends B0{async _call(c){return new H6(await super._call(c))}}class d1 extends B0{async _call(c){return new F9(await super._call(c))}}class V1 extends T0{}class W1 extends V1{}class M1 extends V1{async _call(c){return new W9(await super._call(c))}}class R1 extends V1{async _call(c){return new H6(await super._call(c))}}class l1 extends V1{async _call(c){return new d9(await super._call(c))}}class N1 extends T0{}class p extends N1{}class x0 extends N1{async _call(c){return new W9(await super._call(c))}}class X0 extends N1{async _call(c){return new H6(await super._call(c))}}class W0 extends N1{async _call(c){return new F9(await super._call(c))}}class h0 extends N1{async _call(c){return new d9(await super._call(c))}}class c0 extends T0{}class F5 extends c0{}class W5 extends c0{async _call(c){return new W9(await super._call(c))}}class b5 extends c0{async _call(c){return new H6(await super._call(c))}}class P5 extends c0{async _call(c){return new d9(await super._call(c))}}class S6 extends T0{}class _6 extends S6{}class O9 extends S6{async _call(c){return new H6(await super._call(c))}}class g6 extends S6{async _call(c){return new d9(await super._call(c))}}class k9 extends S6{async _call(c){return new W9(await super._call(c))}}class w9 extends T0{forward_params=["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"]}class Z9 extends w9{}class s9 extends w9{}class J1 extends T0{}class P6 extends J1{}class Q6 extends J1{}class C6 extends T0{}class N6 extends C6{}class s6 extends C6{}class C5 extends T0{}class k6 extends C5{}class E9 extends C5{}class R9 extends C5{async _call(c){return new H6(await super._call(c))}}class B6 extends T0{}class B5 extends B6{}class U9 extends B6{}class u0 extends B6{async _call(c){return new H6(await super._call(c))}}class h5 extends B6{}class V2 extends T0{}class s2 extends V2{}class X1 extends V2{}class i2 extends T0{}class a2 extends i2{}class T2 extends i2{}class o1 extends T0{}class B3 extends o1{}class r2 extends o1{async _call(c){return new W9(await super._call(c))}}class n2 extends o1{async _call(c){return new H6(await super._call(c))}}class A9 extends o1{async _call(c){return new F9(await super._call(c))}}class h3 extends o1{async _call(c){return new d9(await super._call(c))}}class s1 extends T0{}class c3 extends s1{}class m3 extends s1{async _call(c){return new W9(await super._call(c))}}class p3 extends s1{async _call(c){return new H6(await super._call(c))}}class A3 extends s1{async _call(c){return new F9(await super._call(c))}}class g3 extends s1{async _call(c){return new d9(await super._call(c))}}class i1 extends T0{}class u3 extends i1{}class d3 extends i1{async _call(c){return new W9(await super._call(c))}}class t2 extends i1{async _call(c){return new H6(await super._call(c))}}class F2 extends i1{async _call(c){return new F9(await super._call(c))}}class g9 extends i1{async _call(c){return new d9(await super._call(c))}}class y2 extends T0{}class l3 extends y2{}class e2 extends y2{}class N2 extends T0{requires_attention_mask=!1;main_input_name="input_features";forward_params=["input_features","attention_mask","decoder_input_ids","decoder_attention_mask","past_key_values"]}class K1 extends N2{}class b1 extends N2{_prepare_generation_config(c,L0){return super._prepare_generation_config(c,L0,z.WhisperGenerationConfig)}_retrieve_init_tokens(c){let L0=[c.decoder_start_token_id],K0=c.language,C0=c.task;if(c.is_multilingual){K0||(console.warn("No language specified - defaulting to English (en)."),K0="en");let o0=`<|${(0,w.whisper_language_to_code)(K0)}|>`;L0.push(c.lang_to_id[o0]),L0.push(c.task_to_id[C0??"transcribe"])}else if(K0||C0)throw Error("Cannot specify `task` or `language` for an English-only model. If the model is intended to be multilingual, pass `is_multilingual=true` to generate, or update the generation config.");return!c.return_timestamps&&c.no_timestamps_token_id&&L0.at(-1)!==c.no_timestamps_token_id?L0.push(c.no_timestamps_token_id):c.return_timestamps&&L0.at(-1)===c.no_timestamps_token_id&&(console.warn("<|notimestamps|> prompt token is removed from generation_config since `return_timestamps` is set to `true`."),L0.pop()),L0.filter((o0)=>o0!=null)}async generate({inputs:c=null,generation_config:L0=null,logits_processor:K0=null,stopping_criteria:C0=null,...o0}){L0=this._prepare_generation_config(L0,o0);let G5=o0.decoder_input_ids??this._retrieve_init_tokens(L0);if(L0.return_timestamps&&(K0??=new H.LogitsProcessorList,K0.push(new H.WhisperTimeStampLogitsProcessor(L0,G5))),L0.begin_suppress_tokens&&(K0??=new H.LogitsProcessorList,K0.push(new H.SuppressTokensAtBeginLogitsProcessor(L0.begin_suppress_tokens,G5.length))),L0.return_token_timestamps){if(!L0.alignment_heads)throw Error("Model generation config has no `alignment_heads`, token-level timestamps not available. See https://gist.github.com/hollance/42e32852f24243b748ae6bc1f985b13a on how to add this property to the generation config.");L0.task==="translate"&&console.warn("Token-level timestamps may not be reliable for task 'translate'."),L0.output_attentions=!0,L0.return_dict_in_generate=!0}let X5=await super.generate({inputs:c,generation_config:L0,logits_processor:K0,decoder_input_ids:G5,...o0});return L0.return_token_timestamps&&(X5.token_timestamps=this._extract_token_timestamps(X5,L0.alignment_heads,L0.num_frames)),X5}_extract_token_timestamps(c,L0,K0=null,C0=0.02){if(!c.cross_attentions)throw Error("Model outputs must contain cross attentions to extract timestamps. This is most likely because the model was not exported with `output_attentions=True`.");K0==null&&console.warn("`num_frames` has not been set, meaning the entire audio will be analyzed. This may lead to inaccurate token-level timestamps for short audios (< 30 seconds).");let o0=this.config.median_filter_width;o0===void 0&&(console.warn("Model config has no `median_filter_width`, using default value of 7."),o0=7);let G5=c.cross_attentions,X5=Array.from({length:this.config.decoder_layers},(O6,e5)=>(0,Y.cat)(G5.map((E6)=>E6[e5]),2)),K5=(0,Y.stack)(L0.map(([O6,e5])=>{if(O6>=X5.length)throw Error(`Layer index ${O6} is out of bounds for cross attentions (length ${X5.length}).`);return K0?X5[O6].slice(null,e5,null,[0,K0]):X5[O6].slice(null,e5)})).transpose(1,0,2,3),[u5,a5]=(0,Y.std_mean)(K5,-2,0,!0),m5=K5.clone();for(let O6=0;O6E6[v+1]-E6[v]),l9=(0,J.mergeArrays)([1],H9).map((q)=>!!q),i9=[];for(let q=0;qm5.findIndex((F6)=>F6==o0)),X5=G5.every((m5)=>m5===-1),K5=G5.every((m5)=>m5!==-1);if(!X5&&!K5)throw Error("Every input should contain either 0 or 1 image token.");if(X5)return{inputs_embeds:c,attention_mask:C0};let u5=[],a5=[];for(let m5=0;m5Array.from({length:c.dims[0]},(H9)=>Array.from({length:c.dims[1]},(l9)=>1))),i6=L0?L0.tolist():[],O6=K0?K0.tolist():[],e5=0,E6=0;for(let a6=0;a6F6[a6][o]==1),l9=H9.reduce((d,o,a)=>(o==K5&&d.push(a),d),[]).map((d)=>H9[d+1]),i9=l9.filter((d)=>d==G5).length,q=l9.filter((d)=>d==X5).length,v=[],x=0,P=i9,F=q;for(let d=0;di0>x&&w5==G5),a=H9.findIndex((w5,i0)=>i0>x&&w5==X5),j0=P>0&&o!==-1?o:H9.length+1,U0=F>0&&a!==-1?a:H9.length+1,_0,H0,Y0,k0;j00?(0,X.max)(v.at(-1))[0]+1:0;v.push(Array.from({length:3*x5},(w5,i0)=>f5+i0%x5));let c5=x5+f5,l5=D0*b0*m0,G6=Array.from({length:l5},(w5,i0)=>c5+Math.floor(i0/(b0*m0))),y6=Array.from({length:l5},(w5,i0)=>c5+Math.floor(i0/m0)%b0),A6=Array.from({length:l5},(w5,i0)=>c5+i0%m0);v.push([G6,y6,A6].flat()),x=_0+l5}if(x0?(0,X.max)(v.at(-1))[0]+1:0,o=H9.length-x;v.push(Array.from({length:3*o},(a,j0)=>d+j0%o))}let M=v.reduce((d,o)=>d+o.length,0),K=Array(M),C=0;for(let d=0;d<3;++d)for(let o=0;om5[e5%m5.length]),i6=Array.from({length:F6[0]},(O6,e5)=>(0,X.max)(m5.subarray(F6[1]*e5,F6[1]*(e5+1)))[0]+1n+BigInt(F6[1]));return[new Y.Tensor("int64",A5,[3,...F6]),new Y.Tensor("int64",i6,[i6.length,1])]}{let[m5,F6]=c.dims,A5=BigInt64Array.from({length:3*m5*F6},(i6,O6)=>BigInt(Math.floor(O6%F6/m5)));return[new Y.Tensor("int64",A5,[3,...c.dims]),(0,Y.zeros)([m5,1])]}}async encode_image({pixel_values:c,image_grid_thw:L0}){return(await q0(this.sessions.vision_encoder,{pixel_values:c,grid_thw:L0})).image_features}_merge_input_ids_with_image_features(c){return Q0({image_token_id:this.config.image_token_id,...c})}prepare_inputs_for_generation(c,L0,K0){if(L0.attention_mask&&!L0.position_ids)if(L0.past_key_values){L0.pixel_values=null;let C0=BigInt(Object.values(L0.past_key_values)[0].dims.at(-2)),o0=L0.rope_deltas.map((G5)=>C0+G5);L0.position_ids=(0,Y.stack)([o0,o0,o0],0)}else[L0.position_ids,L0.rope_deltas]=this.get_rope_index(L0.input_ids,L0.image_grid_thw,L0.video_grid_thw,L0.attention_mask);return L0}}class k7 extends T0{}class k$ extends k7{}class I$ extends k7{}class I7 extends T0{}class D$ extends I7{}class W$ extends I7{}class D7 extends T0{}class M$ extends D7{}class K$ extends D7{}class W7 extends T0{}class b$ extends W7{}class q3 extends W7{}class h2 extends T0{}class V3 extends h2{}class M7 extends h2{}class u9 extends T0{}class f$ extends u9{}class w$ extends u9{async _call(c){return new H6(await super._call(c))}}class t3 extends T0{}class K7 extends t3{}class E$ extends t3{async _call(c){return new H6(await super._call(c))}}class Q$ extends T0{}class b7 extends Q${}class W4 extends T0{}class C$ extends W4{}class f7 extends W4{async _call(c){return new H6(await super._call(c))}}class B$ extends T0{}class M4 extends B${}class w7 extends T0{}class h$ extends w7{}class c$ extends w7{async _call(c){return new H6(await super._call(c))}}class E7 extends T0{}class q4 extends E7{}class Q7 extends T0{}class C7 extends Q7{}class m$ extends Q7{async _call(c){return new H6(await super._call(c))}}class p$ extends T0{}class A$ extends p${async _call(c){return new H3(await super._call(c))}}class B7 extends T0{}class g$ extends B7{}class u$ extends B7{async _call(c){return new H6(await super._call(c))}}class V4 extends T0{}class d$ extends V4{}class K4 extends V4{async _call(c){return new H6(await super._call(c))}}class b4 extends T0{}class h7 extends b4{}class l$ extends b4{}class c7 extends T0{}class m7 extends c7{}class o$ extends c7{}class p7 extends T0{}class s$ extends p7{}class i$ extends p7{async _call(c){return new H6(await super._call(c))}}class N4 extends T0{}class a$ extends N4{}class r$ extends N4{async _call(c){return new A7(await super._call(c))}}class f4 extends N4{async _call(c){return new n$(await super._call(c))}}class A7 extends s0{constructor({logits:c,pred_boxes:L0}){super(),this.logits=c,this.pred_boxes=L0}}class n$ extends s0{constructor({logits:c,pred_boxes:L0,pred_masks:K0}){super(),this.logits=c,this.pred_boxes=L0,this.pred_masks=K0}}class g7 extends T0{}class t$ extends g7{}class e$ extends g7{async _call(c){return new J4(await super._call(c))}}class J4 extends s0{constructor({logits:c,pred_boxes:L0}){super(),this.logits=c,this.pred_boxes=L0}}class u7 extends T0{}class $j extends u7{}class jj extends u7{async _call(c){return new Oj(await super._call(c))}}class Oj extends J4{}class w4 extends T0{}class E4 extends w4{}class d7 extends w4{async _call(c){return new Gj(await super._call(c))}}class Gj extends J4{}class l7 extends T0{}class Zj extends l7{}class o7 extends l7{async _call(c){return new J4(await super._call(c))}}class s7 extends T0{}class qj extends s7{}class Vj extends s7{async _call(c){return new Nj(await super._call(c))}}class Nj extends A7{}class Q4 extends T0{}class Jj extends Q4{}class vj extends Q4{async _call(c){return new H6(await super._call(c))}}class i7 extends T0{}class Rj extends i7{}class Uj extends i7{async _call(c){return new H6(await super._call(c))}}class a7 extends T0{}class Hj extends a7{}class xj extends a7{async _call(c){return new H6(await super._call(c))}}class C4 extends T0{}class Lj extends C4{}class _j extends C4{async _call(c){return new H6(await super._call(c))}}class Yj extends C4{}class r7 extends T0{}class Sj extends r7{}class Pj extends r7{}class n7 extends T0{}class Xj extends n7{}class Tj extends n7{}class Fj extends T0{}class yj extends Fj{}class B4 extends T0{}class zj extends B4{}class kj extends B4{}class Ij extends B4{}class G2 extends T0{}class x2 extends G2{}class N3 extends T0{}class J3 extends N3{}class Dj extends T0{}class Wj extends Dj{}class t7 extends T0{}class Mj extends t7{}class Kj extends t7{}class e7 extends T0{}class bj extends e7{}class fj extends e7{}class wj extends T0{}class $1 extends wj{}class $8 extends T0{}class Ej extends $8{}class j8 extends $8{async _call(c){return new H6(await super._call(c))}}class O8 extends T0{}class v4 extends O8{}class Qj extends O8{async _call(c){return new H6(await super._call(c))}}class G8 extends T0{}class Cj extends G8{}class Bj extends G8{async _call(c){return new H6(await super._call(c))}}class Z8 extends T0{}class q8 extends Z8{}class hj extends Z8{async _call(c){return new H6(await super._call(c))}}class cj extends T0{}class mj extends cj{}class R4 extends T0{}class pj extends R4{}class Aj extends R4{async _call(c){return new gj(await super._call(c))}}class gj extends s0{constructor({logits:c,pred_boxes:L0}){super(),this.logits=c,this.pred_boxes=L0}}class V8 extends T0{}class uj extends V8{async get_image_embeddings({pixel_values:c}){return await E0(this,{pixel_values:c})}async forward(c){if(c.image_embeddings&&c.image_positional_embeddings||(c={...c,...await this.get_image_embeddings(c)}),!c.input_labels&&c.input_points){let K0=c.input_points.dims.slice(0,-1),C0=K0.reduce((o0,G5)=>o0*G5,1);c.input_labels=new Y.Tensor("int64",new BigInt64Array(C0).fill(1n),K0)}let L0={image_embeddings:c.image_embeddings,image_positional_embeddings:c.image_positional_embeddings};return c.input_points&&(L0.input_points=c.input_points),c.input_labels&&(L0.input_labels=c.input_labels),c.input_boxes&&(L0.input_boxes=c.input_boxes),await q0(this.sessions.prompt_encoder_mask_decoder,L0)}async _call(c){return new dj(await super._call(c))}}class dj extends s0{constructor({iou_scores:c,pred_masks:L0}){super(),this.iou_scores=c,this.pred_masks=L0}}class h4 extends T0{}class lj extends h4{}class oj extends h4{}class N8 extends T0{}class sj extends N8{}class ij extends N8{}class c2 extends T0{}class aj extends c2{}class rj extends c2{async _call(c){return new L2(await super._call(c))}}class nj extends c2{async _call(c){return new H6(await super._call(c))}}class tj extends c2{async _call(c){return new F9(await super._call(c))}}class J8 extends T0{}class ej extends J8{}class $O extends J8{async _call(c){return new F9(await super._call(c))}}class jO extends T0{}class OO extends jO{}class c4 extends T0{}class GO extends c4{}class ZO extends c4{async _call(c){return new L2(await super._call(c))}}class qO extends c4{async _call(c){return new H6(await super._call(c))}}class U4 extends T0{}class VO extends U4{}class NO extends U4{async _call(c){return new L2(await super._call(c))}}class H4 extends U4{async _call(c){return new H6(await super._call(c))}}class v8 extends U4{async _call(c){return new F9(await super._call(c))}}class x4 extends T0{}class R8 extends x4{}class U8 extends x4{async _call(c){return new L2(await super._call(c))}}class JO extends x4{async _call(c){return new H6(await super._call(c))}}class KG extends T0{}class H8 extends c2{}class x8 extends c2{async _call(c){return new L2(await super._call(c))}}class vO extends c2{async _call(c){return new H6(await super._call(c))}}class e3 extends T0{}class L8 extends e3{}class RO extends e3{async _call(c){return new L2(await super._call(c))}}class UO extends e3{async _call(c){return new H6(await super._call(c))}}class _8 extends e3{async _call(c){return new S4(await super._call(c))}}class HO extends e3{async _call(c){return new F9(await super._call(c))}}class xO extends T0{}class LO extends xO{}class m4 extends T0{}class bG extends m4{}class _O extends m4{}class YO extends m4{async generate_speech(c,L0,{threshold:K0=0.5,minlenratio:C0=0,maxlenratio:o0=20,vocoder:G5=null}={}){let X5={input_ids:c},{encoder_outputs:K5,encoder_attention_mask:u5}=await E0(this,X5),a5=K5.dims[1]/this.config.reduction_factor,m5=Math.floor(a5*o0),F6=Math.floor(a5*C0),A5=this.config.num_mel_bins,i6=[],O6=null,e5=null,E6=0;for(;;){++E6;let l9=M0(!!e5),i9;i9=e5?e5.output_sequence_out:new Y.Tensor("float32",new Float32Array(A5),[1,1,A5]);let q={use_cache_branch:l9,output_sequence:i9,encoder_attention_mask:u5,speaker_embeddings:L0,encoder_hidden_states:K5};this.addPastKeyValues(q,O6),e5=await q0(this.sessions.decoder_model_merged,q),O6=this.getPastKeyValues(e5,O6);let{prob:v,spectrum:x}=e5;if(i6.push(x),E6>=F6&&(Array.from(v.data).filter((P)=>P>=K0).length>0||E6>=m5))break}let a6=(0,Y.cat)(i6),{waveform:H9}=await q0(G5.sessions.model,{spectrogram:a6});return{spectrogram:a6,waveform:H9}}}class SO extends T0{main_input_name="spectrogram"}class PO extends T0{}class XO extends PO{}class Y8 extends T0{}class TO extends Y8{}class S8 extends Y8{}class p4 extends T0{}class FO extends p4{}class yO extends p4{}class P8 extends T0{}class zO extends P8{}class kO extends P8{}class A4 extends T0{}class X8 extends A4{}class IO extends A4{static async from_pretrained(c,L0={}){return super.from_pretrained(c,{...L0,model_file_name:L0.model_file_name??"text_model"})}}class DO extends A4{static async from_pretrained(c,L0={}){return super.from_pretrained(c,{...L0,model_file_name:L0.model_file_name??"audio_model"})}}class WO extends T0{}class T8 extends WO{async _call(c){return new UG(await super._call(c))}}class g4 extends T0{}class fG extends g4{}class MO extends g4{}class KO extends g4{}class u4 extends T0{}class bO extends u4{}class fO extends u4{}class F8 extends T0{}class wO extends F8{}class EO extends F8{async _call(c){return new H6(await super._call(c))}}class y8 extends T0{}class wG extends y8{}class EG extends y8{}class z8 extends T0{forward_params=["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"];_apply_and_filter_by_delay_pattern_mask(c){let[L0,K0]=c.dims,C0=this.config.decoder.num_codebooks,o0=K0-C0,G5=0;for(let u5=0;u50&&a5<=o0&&(c.data[G5++]=c.data[u5])}let X5=Math.floor(L0/C0),K5=G5/(X5*C0);return new Y.Tensor(c.type,c.data.slice(0,G5),[X5,C0,K5])}prepare_inputs_for_generation(c,L0,K0){let C0=structuredClone(c);for(let o0=0;o0=G5&&(C0[o0][G5]=BigInt(this.config.decoder.pad_token_id));return K0.guidance_scale!==null&&K0.guidance_scale>1&&(C0=C0.concat(C0)),super.prepare_inputs_for_generation(C0,L0,K0)}async generate(c){let L0=await super.generate(c),K0=this._apply_and_filter_by_delay_pattern_mask(L0).unsqueeze_(0),{audio_values:C0}=await q0(this.sessions.encodec_decode,{audio_codes:K0});return C0}}class d4 extends T0{}class QO extends d4{}class L4 extends d4{async _call(c){return new H6(await super._call(c))}}class CO extends d4{}class _4 extends T0{}class BO extends _4{}class hO extends _4{async _call(c){return new H6(await super._call(c))}}class cO extends _4{}class l4 extends T0{}class mO extends l4{}class pO extends l4{async _call(c){return new H6(await super._call(c))}}class AO extends l4{}class o4 extends T0{}class k8 extends o4{}class gO extends o4{async _call(c){return new H6(await super._call(c))}}class uO extends o4{}class dO extends T0{}class lO extends dO{}class oO extends T0{}class sO extends oO{forward_params=["input_ids","pixel_values","images_seq_mask","images_emb_mask","attention_mask","position_ids","past_key_values"];constructor(...c){super(...c),this._generation_mode="text"}async forward(c){let L0=this._generation_mode??"text",K0;if(L0!=="text"&&c.past_key_values){let K5=this.sessions.gen_img_embeds,u5=(0,J.pick)({image_ids:c.input_ids},K5.inputNames);K0=await q0(K5,u5)}else{let K5=this.sessions.prepare_inputs_embeds,u5=(0,J.pick)(c,K5.inputNames);K0=await q0(K5,u5)}let C0={...c,...K0},o0=await N0(this,C0),G5=this.sessions[L0==="text"?"lm_head":"gen_head"];if(!G5)throw Error(`Unable to find "${G5}" generation head`);let X5=await q0(G5,(0,J.pick)(o0,G5.inputNames));return{...K0,...o0,...X5}}async generate(c){return this._generation_mode="text",super.generate(c)}async generate_images(c){this._generation_mode="image";let L0=(c.inputs??c[this.main_input_name]).dims[1],K0=(await super.generate(c)).slice(null,[L0,null]),C0=this.sessions.image_decode,{decoded_image:o0}=await q0(C0,{generated_tokens:K0}),G5=o0.add_(1).mul_(127.5).clamp_(0,255).to("uint8"),X5=[];for(let K5 of G5){let u5=S.RawImage.fromTensor(K5);X5.push(u5)}return X5}}class iO extends s0{constructor({char_logits:c,bpe_logits:L0,wp_logits:K0}){super(),this.char_logits=c,this.bpe_logits=L0,this.wp_logits=K0}get logits(){return[this.char_logits,this.bpe_logits,this.wp_logits]}}class aO extends T0{}class rO extends aO{async _call(c){return new iO(await super._call(c))}}class nO extends T0{}class I8 extends nO{}class v3 extends nO{}class s4 extends T0{}class QG extends s4{}class CG extends s4{}class q6 extends T0{forward_params=["input_ids","attention_mask","position_ids","audio_values","past_key_values"]}class tO extends q6{_merge_input_ids_with_audio_features(c){let L0=c.audio_features.dims.at(-1),K0=c.audio_features.view(-1,L0);return function({audio_token_id:C0,inputs_embeds:o0,audio_features:G5,input_ids:X5,attention_mask:K5}){return P0({modality_token_id:C0,inputs_embeds:o0,modality_features:G5,input_ids:X5,attention_mask:K5})}({audio_token_id:this.config.ignore_index,...c,audio_features:K0})}}class B1 extends T0{main_input_name="input_values";forward_params=["input_values"]}class X6 extends s0{constructor({audio_codes:c}){super(),this.audio_codes=c}}class eO extends s0{constructor({audio_values:c}){super(),this.audio_values=c}}class BG extends B1{async encode(c){return new X6(await q0(this.sessions.encoder_model,c))}async decode(c){return new eO(await q0(this.sessions.decoder_model,c))}}class hG extends B1{static async from_pretrained(c,L0={}){return super.from_pretrained(c,{...L0,model_file_name:L0.model_file_name??"encoder_model"})}}class D8 extends B1{static async from_pretrained(c,L0={}){return super.from_pretrained(c,{...L0,model_file_name:L0.model_file_name??"decoder_model"})}}class W8 extends T0{main_input_name="input_values";forward_params=["input_values"]}class S9 extends s0{constructor({audio_codes:c}){super(),this.audio_codes=c}}class T6 extends s0{constructor({audio_values:c}){super(),this.audio_values=c}}class m2 extends W8{async encode(c){return new S9(await q0(this.sessions.encoder_model,c))}async decode(c){return new T6(await q0(this.sessions.decoder_model,c))}}class cG extends W8{static async from_pretrained(c,L0={}){return super.from_pretrained(c,{...L0,model_file_name:L0.model_file_name??"encoder_model"})}}class M8 extends W8{static async from_pretrained(c,L0={}){return super.from_pretrained(c,{...L0,model_file_name:L0.model_file_name??"decoder_model"})}}class K8 extends T0{main_input_name="input_values";forward_params=["input_values"]}class b8 extends K8{async encode(c){return await q0(this.sessions.encoder_model,c)}async decode(c){return await q0(this.sessions.decoder_model,c)}}class mG extends K8{static async from_pretrained(c,L0={}){return super.from_pretrained(c,{...L0,model_file_name:L0.model_file_name??"encoder_model"})}}class pG extends K8{static async from_pretrained(c,L0={}){return super.from_pretrained(c,{...L0,model_file_name:L0.model_file_name??"decoder_model"})}}class u6{static MODEL_CLASS_MAPPINGS=null;static BASE_IF_FAIL=!1;static async from_pretrained(c,{progress_callback:L0=null,config:K0=null,cache_dir:C0=null,local_files_only:o0=!1,revision:G5="main",model_file_name:X5=null,subfolder:K5="onnx",device:u5=null,dtype:a5=null,use_external_data_format:m5=null,session_options:F6={}}={}){let A5={progress_callback:L0,config:K0,cache_dir:C0,local_files_only:o0,revision:G5,model_file_name:X5,subfolder:K5,device:u5,dtype:a5,use_external_data_format:m5,session_options:F6};if(A5.config=await G.AutoConfig.from_pretrained(c,A5),!this.MODEL_CLASS_MAPPINGS)throw Error("`MODEL_CLASS_MAPPINGS` not implemented for this type of `AutoClass`: "+this.name);let i6=A5.config.model_type;for(let O6 of this.MODEL_CLASS_MAPPINGS){let e5=O6.get(i6);if(!e5){for(let E6 of O6.values())if(E6[0]===i6){e5=E6;break}if(!e5)continue}return await e5[1].from_pretrained(c,A5)}if(this.BASE_IF_FAIL)return Uq.has(i6)||console.warn(`Unknown model class "${i6}", attempting to construct from base class.`),await T0.from_pretrained(c,A5);throw Error(`Unsupported model type: ${i6}`)}}let kV=new Map([["bert",["BertModel",d5]],["modernbert",["ModernBertModel",y0]],["nomic_bert",["NomicBertModel",N5]],["roformer",["RoFormerModel",Q5]],["electra",["ElectraModel",z6]],["esm",["EsmModel",P1]],["convbert",["ConvBertModel",c6]],["camembert",["CamembertModel",H1]],["deberta",["DebertaModel",D9]],["deberta-v2",["DebertaV2Model",r9]],["mpnet",["MPNetModel",p]],["albert",["AlbertModel",_6]],["distilbert",["DistilBertModel",n9]],["roberta",["RobertaModel",B3]],["xlm",["XLMModel",c3]],["xlm-roberta",["XLMRobertaModel",u3]],["clap",["ClapModel",X8]],["clip",["CLIPModel",e9]],["clipseg",["CLIPSegModel",t1]],["chinese_clip",["ChineseCLIPModel",Z3]],["siglip",["SiglipModel",W2]],["jina_clip",["JinaCLIPModel",n1]],["mobilebert",["MobileBertModel",W1]],["squeezebert",["SqueezeBertModel",F5]],["wav2vec2",["Wav2Vec2Model",aj]],["wav2vec2-bert",["Wav2Vec2BertModel",R8]],["unispeech",["UniSpeechModel",GO]],["unispeech-sat",["UniSpeechSatModel",VO]],["hubert",["HubertModel",H8]],["wavlm",["WavLMModel",L8]],["audio-spectrogram-transformer",["ASTModel",l3]],["vits",["VitsModel",T8]],["pyannote",["PyAnnoteModel",ej]],["wespeaker-resnet",["WeSpeakerResNetModel",OO]],["detr",["DetrModel",a$]],["rt_detr",["RTDetrModel",t$]],["rt_detr_v2",["RTDetrV2Model",$j]],["rf_detr",["RFDetrModel",E4]],["d_fine",["DFineModel",Zj]],["table-transformer",["TableTransformerModel",qj]],["vit",["ViTModel",f$]],["ijepa",["IJepaModel",K7]],["pvt",["PvtModel",C$]],["vit_msn",["ViTMSNModel",h$]],["vit_mae",["ViTMAEModel",M4]],["groupvit",["GroupViTModel",q4]],["fastvit",["FastViTModel",C7]],["mobilevit",["MobileViTModel",g$]],["mobilevitv2",["MobileViTV2Model",d$]],["owlvit",["OwlViTModel",h7]],["owlv2",["Owlv2Model",m7]],["beit",["BeitModel",s$]],["deit",["DeiTModel",Jj]],["hiera",["HieraModel",Rj]],["convnext",["ConvNextModel",Ej]],["convnextv2",["ConvNextV2Model",v4]],["dinov2",["Dinov2Model",Cj]],["dinov2_with_registers",["Dinov2WithRegistersModel",q8]],["resnet",["ResNetModel",Hj]],["swin",["SwinModel",Lj]],["swin2sr",["Swin2SRModel",Sj]],["donut-swin",["DonutSwinModel",$1]],["yolos",["YolosModel",pj]],["dpt",["DPTModel",Xj]],["glpn",["GLPNModel",bj]],["hifigan",["SpeechT5HifiGan",SO]],["efficientnet",["EfficientNetModel",wO]],["decision_transformer",["DecisionTransformerModel",lO]],["patchtst",["PatchTSTForPrediction",I8]],["patchtsmixer",["PatchTSMixerForPrediction",QG]],["mobilenet_v1",["MobileNetV1Model",QO]],["mobilenet_v2",["MobileNetV2Model",BO]],["mobilenet_v3",["MobileNetV3Model",mO]],["mobilenet_v4",["MobileNetV4Model",k8]],["maskformer",["MaskFormerModel",Mj]],["mgp-str",["MgpstrForSceneTextRecognition",rO]],["style_text_to_speech_2",["StyleTextToSpeech2Model",LO]]]),IV=new Map([["t5",["T5Model",Z9]],["longt5",["LongT5Model",P6]],["mt5",["MT5Model",N6]],["bart",["BartModel",k6]],["mbart",["MBartModel",B5]],["marian",["MarianModel",lj]],["whisper",["WhisperModel",K1]],["m2m_100",["M2M100Model",sj]],["blenderbot",["BlenderbotModel",s2]],["blenderbot-small",["BlenderbotSmallModel",a2]]]),DV=new Map([["mimi",["MimiModel",BG]],["dac",["DacModel",m2]],["snac",["SnacModel",b8]]]),Y4=new Map([["bloom",["BloomModel",M$]],["jais",["JAISModel",f2]],["gpt2",["GPT2Model",c9]],["gptj",["GPTJModel",b6]],["gpt_bigcode",["GPTBigCodeModel",C2]],["gpt_neo",["GPTNeoModel",R2]],["gpt_neox",["GPTNeoXModel",O2]],["codegen",["CodeGenModel",_]],["llama",["LlamaModel",B]],["exaone",["ExaoneModel",J6]],["olmo",["OlmoModel",V$]],["olmo2",["Olmo2Model",J$]],["mobilellm",["MobileLLMModel",D4]],["granite",["GraniteModel",R$]],["cohere",["CohereModel",H$]],["gemma",["GemmaModel",S7]],["gemma2",["Gemma2Model",x$]],["gemma3_text",["Gemma3Model",_$]],["helium",["HeliumModel",z0]],["glm",["GlmModel",Z5]],["openelm",["OpenELMModel",S$]],["qwen2",["Qwen2Model",X$]],["qwen3",["Qwen3Model",T$]],["phi",["PhiModel",k$]],["phi3",["Phi3Model",D$]],["mpt",["MptModel",b$]],["opt",["OPTModel",V3]],["mistral",["MistralModel",TO]],["starcoder2",["Starcoder2Model",FO]],["falcon",["FalconModel",zO]],["stablelm",["StableLmModel",bO]]]),f8=new Map([["speecht5",["SpeechT5ForSpeechToText",_O]],["whisper",["WhisperForConditionalGeneration",b1]],["lite-whisper",["LiteWhisperForConditionalGeneration",$3]],["moonshine",["MoonshineForConditionalGeneration",o3]]]),lZ=new Map([["speecht5",["SpeechT5ForTextToSpeech",YO]]]),$G=new Map([["vits",["VitsModel",T8]],["musicgen",["MusicgenForConditionalGeneration",z8]]]),jG=new Map([["bert",["BertForSequenceClassification",$5]],["modernbert",["ModernBertForSequenceClassification",I0]],["roformer",["RoFormerForSequenceClassification",K6]],["electra",["ElectraForSequenceClassification",E5]],["esm",["EsmForSequenceClassification",u1]],["convbert",["ConvBertForSequenceClassification",y9]],["camembert",["CamembertForSequenceClassification",o9]],["deberta",["DebertaForSequenceClassification",J9]],["deberta-v2",["DebertaV2ForSequenceClassification",S1]],["mpnet",["MPNetForSequenceClassification",X0]],["albert",["AlbertForSequenceClassification",O9]],["distilbert",["DistilBertForSequenceClassification",v9]],["roberta",["RobertaForSequenceClassification",n2]],["xlm",["XLMForSequenceClassification",p3]],["xlm-roberta",["XLMRobertaForSequenceClassification",t2]],["bart",["BartForSequenceClassification",R9]],["mbart",["MBartForSequenceClassification",u0]],["mobilebert",["MobileBertForSequenceClassification",R1]],["squeezebert",["SqueezeBertForSequenceClassification",b5]]]),oZ=new Map([["bert",["BertForTokenClassification",V5]],["modernbert",["ModernBertForTokenClassification",w0]],["roformer",["RoFormerForTokenClassification",Y5]],["electra",["ElectraForTokenClassification",v5]],["esm",["EsmForTokenClassification",d1]],["convbert",["ConvBertForTokenClassification",V6]],["camembert",["CamembertForTokenClassification",L1]],["deberta",["DebertaForTokenClassification",Y1]],["deberta-v2",["DebertaV2ForTokenClassification",A1]],["mpnet",["MPNetForTokenClassification",W0]],["distilbert",["DistilBertForTokenClassification",L6]],["roberta",["RobertaForTokenClassification",A9]],["xlm",["XLMForTokenClassification",A3]],["xlm-roberta",["XLMRobertaForTokenClassification",F2]]]),AG=new Map([["t5",["T5ForConditionalGeneration",s9]],["longt5",["LongT5ForConditionalGeneration",Q6]],["mt5",["MT5ForConditionalGeneration",s6]],["bart",["BartForConditionalGeneration",E9]],["mbart",["MBartForConditionalGeneration",U9]],["marian",["MarianMTModel",oj]],["m2m_100",["M2M100ForConditionalGeneration",ij]],["blenderbot",["BlenderbotForConditionalGeneration",X1]],["blenderbot-small",["BlenderbotSmallForConditionalGeneration",T2]]]),gG=new Map([["bloom",["BloomForCausalLM",K$]],["gpt2",["GPT2LMHeadModel",v1]],["jais",["JAISLMHeadModel",w2]],["gptj",["GPTJForCausalLM",Q2]],["gpt_bigcode",["GPTBigCodeForCausalLM",B2]],["gpt_neo",["GPTNeoForCausalLM",E2]],["gpt_neox",["GPTNeoXForCausalLM",E1]],["codegen",["CodeGenForCausalLM",y]],["llama",["LlamaForCausalLM",g]],["exaone",["ExaoneForCausalLM",q9]],["olmo",["OlmoForCausalLM",N$]],["olmo2",["Olmo2ForCausalLM",v$]],["mobilellm",["MobileLLMForCausalLM",q$]],["granite",["GraniteForCausalLM",U$]],["cohere",["CohereForCausalLM",_7]],["gemma",["GemmaForCausalLM",P7]],["gemma2",["Gemma2ForCausalLM",L$]],["gemma3_text",["Gemma3ForCausalLM",Y$]],["helium",["HeliumForCausalLM",f0]],["glm",["GlmForCausalLM",M5]],["openelm",["OpenELMForCausalLM",P$]],["qwen2",["Qwen2ForCausalLM",C1]],["qwen3",["Qwen3ForCausalLM",F$]],["phi",["PhiForCausalLM",I$]],["phi3",["Phi3ForCausalLM",W$]],["mpt",["MptForCausalLM",q3]],["opt",["OPTForCausalLM",M7]],["mbart",["MBartForCausalLM",h5]],["mistral",["MistralForCausalLM",S8]],["starcoder2",["Starcoder2ForCausalLM",yO]],["falcon",["FalconForCausalLM",kO]],["trocr",["TrOCRForCausalLM",XO]],["stablelm",["StableLmForCausalLM",fO]],["phi3_v",["Phi3VForCausalLM",T1]]]),WV=new Map([["multi_modality",["MultiModalityCausalLM",sO]]]),sZ=new Map([["bert",["BertForMaskedLM",T5]],["modernbert",["ModernBertForMaskedLM",O0]],["roformer",["RoFormerForMaskedLM",S5]],["electra",["ElectraForMaskedLM",_5]],["esm",["EsmForMaskedLM",g1]],["convbert",["ConvBertForMaskedLM",Y9]],["camembert",["CamembertForMaskedLM",x1]],["deberta",["DebertaForMaskedLM",p9]],["deberta-v2",["DebertaV2ForMaskedLM",G9]],["mpnet",["MPNetForMaskedLM",x0]],["albert",["AlbertForMaskedLM",k9]],["distilbert",["DistilBertForMaskedLM",p6]],["roberta",["RobertaForMaskedLM",r2]],["xlm",["XLMWithLMHeadModel",m3]],["xlm-roberta",["XLMRobertaForMaskedLM",d3]],["mobilebert",["MobileBertForMaskedLM",M1]],["squeezebert",["SqueezeBertForMaskedLM",W5]]]),iZ=new Map([["bert",["BertForQuestionAnswering",U6]],["roformer",["RoFormerForQuestionAnswering",w6]],["electra",["ElectraForQuestionAnswering",o6]],["convbert",["ConvBertForQuestionAnswering",a9]],["camembert",["CamembertForQuestionAnswering",_1]],["deberta",["DebertaForQuestionAnswering",t6]],["deberta-v2",["DebertaV2ForQuestionAnswering",x9]],["mpnet",["MPNetForQuestionAnswering",h0]],["albert",["AlbertForQuestionAnswering",g6]],["distilbert",["DistilBertForQuestionAnswering",m6]],["roberta",["RobertaForQuestionAnswering",h3]],["xlm",["XLMForQuestionAnswering",g3]],["xlm-roberta",["XLMRobertaForQuestionAnswering",g9]],["mobilebert",["MobileBertForQuestionAnswering",l1]],["squeezebert",["SqueezeBertForQuestionAnswering",P5]]]),uG=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",h9]],["idefics3",["Idefics3ForConditionalGeneration",k2]],["smolvlm",["SmolVLMForConditionalGeneration",a1]]]),aZ=new Map([["llava",["LlavaForConditionalGeneration",f1]],["llava_onevision",["LlavaOnevisionForConditionalGeneration",j3]],["moondream1",["Moondream1ForConditionalGeneration",t9]],["florence2",["Florence2ForConditionalGeneration",i3]],["qwen2-vl",["Qwen2VLForConditionalGeneration",z$]],["idefics3",["Idefics3ForConditionalGeneration",k2]],["smolvlm",["SmolVLMForConditionalGeneration",a1]],["paligemma",["PaliGemmaForConditionalGeneration",r3]]]),rZ=new Map([["ultravox",["UltravoxModel",tO]]]),MV=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",h9]]]),nZ=new Map([["vit",["ViTForImageClassification",w$]],["ijepa",["IJepaForImageClassification",E$]],["pvt",["PvtForImageClassification",f7]],["vit_msn",["ViTMSNForImageClassification",c$]],["fastvit",["FastViTForImageClassification",m$]],["mobilevit",["MobileViTForImageClassification",u$]],["mobilevitv2",["MobileViTV2ForImageClassification",K4]],["beit",["BeitForImageClassification",i$]],["deit",["DeiTForImageClassification",vj]],["hiera",["HieraForImageClassification",Uj]],["convnext",["ConvNextForImageClassification",j8]],["convnextv2",["ConvNextV2ForImageClassification",Qj]],["dinov2",["Dinov2ForImageClassification",Bj]],["dinov2_with_registers",["Dinov2WithRegistersForImageClassification",hj]],["resnet",["ResNetForImageClassification",xj]],["swin",["SwinForImageClassification",_j]],["segformer",["SegformerForImageClassification",MO]],["efficientnet",["EfficientNetForImageClassification",EO]],["mobilenet_v1",["MobileNetV1ForImageClassification",L4]],["mobilenet_v2",["MobileNetV2ForImageClassification",hO]],["mobilenet_v3",["MobileNetV3ForImageClassification",pO]],["mobilenet_v4",["MobileNetV4ForImageClassification",gO]]]),tZ=new Map([["detr",["DetrForObjectDetection",r$]],["rt_detr",["RTDetrForObjectDetection",e$]],["rt_detr_v2",["RTDetrV2ForObjectDetection",jj]],["rf_detr",["RFDetrForObjectDetection",d7]],["d_fine",["DFineForObjectDetection",o7]],["table-transformer",["TableTransformerForObjectDetection",Vj]],["yolos",["YolosForObjectDetection",Aj]]]),eZ=new Map([["owlvit",["OwlViTForObjectDetection",l$]],["owlv2",["Owlv2ForObjectDetection",o$]],["grounding-dino",["GroundingDinoForObjectDetection",mj]]]),i4=new Map([["detr",["DetrForSegmentation",f4]],["clipseg",["CLIPSegForImageSegmentation",e1]]]),$q=new Map([["segformer",["SegformerForSemanticSegmentation",KO]],["sapiens",["SapiensForSemanticSegmentation",zj]],["swin",["SwinForSemanticSegmentation",Yj]],["mobilenet_v1",["MobileNetV1ForSemanticSegmentation",CO]],["mobilenet_v2",["MobileNetV2ForSemanticSegmentation",cO]],["mobilenet_v3",["MobileNetV3ForSemanticSegmentation",AO]],["mobilenet_v4",["MobileNetV4ForSemanticSegmentation",uO]]]),jq=new Map([["detr",["DetrForSegmentation",f4]],["maskformer",["MaskFormerForInstanceSegmentation",Kj]]]),Oq=new Map([["sam",["SamModel",uj]]]),dG=new Map([["wav2vec2",["Wav2Vec2ForCTC",rj]],["wav2vec2-bert",["Wav2Vec2BertForCTC",U8]],["unispeech",["UniSpeechForCTC",ZO]],["unispeech-sat",["UniSpeechSatForCTC",NO]],["wavlm",["WavLMForCTC",RO]],["hubert",["HubertForCTC",x8]]]),lG=new Map([["wav2vec2",["Wav2Vec2ForSequenceClassification",nj]],["wav2vec2-bert",["Wav2Vec2BertForSequenceClassification",JO]],["unispeech",["UniSpeechForSequenceClassification",qO]],["unispeech-sat",["UniSpeechSatForSequenceClassification",H4]],["wavlm",["WavLMForSequenceClassification",UO]],["hubert",["HubertForSequenceClassification",vO]],["audio-spectrogram-transformer",["ASTForAudioClassification",e2]]]),oG=new Map([["wavlm",["WavLMForXVector",_8]]]),Gq=new Map([["unispeech-sat",["UniSpeechSatForAudioFrameClassification",v8]],["wavlm",["WavLMForAudioFrameClassification",HO]],["wav2vec2",["Wav2Vec2ForAudioFrameClassification",tj]],["pyannote",["PyAnnoteForAudioFrameClassification",$O]]]),Zq=new Map([["vitmatte",["VitMatteForImageMatting",A$]]]),KV=new Map([["patchtst",["PatchTSTForPrediction",v3]],["patchtsmixer",["PatchTSMixerForPrediction",CG]]]),qq=new Map([["swin2sr",["Swin2SRForImageSuperResolution",Pj]]]),Vq=new Map([["dpt",["DPTForDepthEstimation",Tj]],["depth_anything",["DepthAnythingForDepthEstimation",yj]],["glpn",["GLPNForDepthEstimation",fj]],["sapiens",["SapiensForDepthEstimation",kj]],["depth_pro",["DepthProForDepthEstimation",x2]],["metric3d",["Metric3DForDepthEstimation",J3]],["metric3dv2",["Metric3Dv2ForDepthEstimation",Wj]]]),Nq=new Map([["sapiens",["SapiensForNormalEstimation",Ij]]]),Jq=new Map([["vitpose",["VitPoseForPoseEstimation",b7]]]),vq=new Map([["clip",["CLIPVisionModelWithProjection",D2]],["siglip",["SiglipVisionModel",K2]],["jina_clip",["JinaCLIPVisionModel",i5]]]),Rq=[[kV,T],[IV,W],[Y4,A],[DV,i],[jG,T],[oZ,T],[AG,E],[f8,E],[gG,A],[WV,V0],[sZ,T],[iZ,T],[uG,Q],[aZ,r],[rZ,$0],[nZ,T],[i4,T],[jq,T],[$q,T],[Zq,T],[KV,T],[qq,T],[Vq,T],[Nq,T],[Jq,T],[tZ,T],[eZ,T],[Oq,l],[dG,T],[lG,T],[lZ,E],[$G,T],[oG,T],[Gq,T],[vq,T]];for(let[c,L0]of Rq)for(let[K0,C0]of c.values())G0.set(K0,L0),F0.set(C0,K0),S0.set(K0,C0);let bV=[["MusicgenForConditionalGeneration",z8,e],["Phi3VForCausalLM",T1,v0],["CLIPTextModelWithProjection",r1,T],["SiglipTextModel",M2,T],["JinaCLIPTextModel",o5,T],["ClapTextModelWithProjection",IO,T],["ClapAudioModelWithProjection",DO,T],["DacEncoderModel",cG,T],["DacDecoderModel",M8,T],["MimiEncoderModel",hG,T],["MimiDecoderModel",D8,T],["SnacEncoderModel",mG,T],["SnacDecoderModel",pG,T]];for(let[c,L0,K0]of bV)G0.set(c,K0),F0.set(L0,c),S0.set(c,L0);let Uq=new Map([["modnet",i4],["birefnet",i4],["isnet",i4],["ben",i4]]);for(let[c,L0]of Uq.entries())L0.set(c,["PreTrainedModel",T0]),G0.set(c,T),F0.set(T0,c),S0.set(c,T0);class Hq extends u6{static MODEL_CLASS_MAPPINGS=Rq.map((c)=>c[0]);static BASE_IF_FAIL=!0}class xq extends u6{static MODEL_CLASS_MAPPINGS=[jG]}class Lq extends u6{static MODEL_CLASS_MAPPINGS=[oZ]}class _q extends u6{static MODEL_CLASS_MAPPINGS=[AG]}class Yq extends u6{static MODEL_CLASS_MAPPINGS=[f8]}class Sq extends u6{static MODEL_CLASS_MAPPINGS=[lZ]}class Pq extends u6{static MODEL_CLASS_MAPPINGS=[$G]}class sG extends u6{static MODEL_CLASS_MAPPINGS=[gG]}class iG extends u6{static MODEL_CLASS_MAPPINGS=[sZ]}class aG extends u6{static MODEL_CLASS_MAPPINGS=[iZ]}class rG extends u6{static MODEL_CLASS_MAPPINGS=[uG]}class nG extends u6{static MODEL_CLASS_MAPPINGS=[nZ]}class Xq extends u6{static MODEL_CLASS_MAPPINGS=[i4]}class tG extends u6{static MODEL_CLASS_MAPPINGS=[$q]}class w8 extends u6{static MODEL_CLASS_MAPPINGS=[jq]}class eG extends u6{static MODEL_CLASS_MAPPINGS=[tZ]}class $Z extends u6{static MODEL_CLASS_MAPPINGS=[eZ]}class jZ extends u6{static MODEL_CLASS_MAPPINGS=[Oq]}class OG extends u6{static MODEL_CLASS_MAPPINGS=[dG]}class GG extends u6{static MODEL_CLASS_MAPPINGS=[lG]}class R3 extends u6{static MODEL_CLASS_MAPPINGS=[oG]}class OZ extends u6{static MODEL_CLASS_MAPPINGS=[Gq]}class ZG extends u6{static MODEL_CLASS_MAPPINGS=[MV]}class E8 extends u6{static MODEL_CLASS_MAPPINGS=[Zq]}class qG extends u6{static MODEL_CLASS_MAPPINGS=[qq]}class VG extends u6{static MODEL_CLASS_MAPPINGS=[Vq]}class NG extends u6{static MODEL_CLASS_MAPPINGS=[Nq]}class JG extends u6{static MODEL_CLASS_MAPPINGS=[Jq]}class vG extends u6{static MODEL_CLASS_MAPPINGS=[vq]}class RG extends u6{static MODEL_CLASS_MAPPINGS=[aZ]}class U3 extends u6{static MODEL_CLASS_MAPPINGS=[rZ]}class Z2 extends 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+ \*****************************/O.r(j),O.d(j,{TensorOpRegistry:()=>R});var G=O("./src/backends/onnx.js"),Z=O("./src/utils/tensor.js"),V=O("./src/env.js");/*! ../backends/onnx.js *//*! ../utils/tensor.js *//*! ../env.js */let N=V.apis.IS_BROWSER_ENV||V.apis.IS_WEBWORKER_ENV,J=async(U,H,L)=>{let Y=await(0,G.createInferenceSession)(new Uint8Array(U),H),S=Promise.resolve();return async(X)=>{let D=(0,G.isONNXProxy)(),I=Object.fromEntries(Object.entries(X).map(([z,w])=>[z,(D?w.clone():w).ort_tensor])),k=await(S=N?S.then(()=>Y.run(I)):Y.run(I));return Array.isArray(L)?L.map((z)=>new Z.Tensor(k[z])):new Z.Tensor(k[L])}};class R{static session_options={};static get nearest_interpolate_4d(){return this._nearest_interpolate_4d||(this._nearest_interpolate_4d=J([8,10,18,0,58,129,1,10,41,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,18,10,4,109,111,100,101,34,7,110,101,97,114,101,115,116,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,21],this.session_options,"y")),this._nearest_interpolate_4d}static get bilinear_interpolate_4d(){return this._bilinear_interpolate_4d||(this._bilinear_interpolate_4d=J([8,9,18,0,58,128,1,10,40,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,17,10,4,109,111,100,101,34,6,108,105,110,101,97,114,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,20],this.session_options,"y")),this._bilinear_interpolate_4d}static get bicubic_interpolate_4d(){return this._bicubic_interpolate_4d||(this._bicubic_interpolate_4d=J([8,9,18,0,58,127,10,39,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,16,10,4,109,111,100,101,34,5,99,117,98,105,99,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,20],this.session_options,"y")),this._bicubic_interpolate_4d}static get matmul(){return this._matmul||(this._matmul=J([8,9,18,0,58,55,10,17,10,1,97,10,1,98,18,1,99,34,6,77,97,116,77,117,108,18,1,114,90,9,10,1,97,18,4,10,2,8,1,90,9,10,1,98,18,4,10,2,8,1,98,9,10,1,99,18,4,10,2,8,1,66,2,16,20],this.session_options,"c")),this._matmul}static get stft(){return this._stft||(this._stft=J([8,7,18,0,58,148,1,10,38,10,1,115,10,1,106,10,1,119,10,1,108,18,1,111,34,4,83,84,70,84,42,15,10,8,111,110,101,115,105,100,101,100,24,1,160,1,2,18,1,115,90,26,10,1,115,18,21,10,19,8,1,18,15,10,3,18,1,98,10,3,18,1,115,10,3,18,1,99,90,11,10,1,106,18,6,10,4,8,7,18,0,90,16,10,1,119,18,11,10,9,8,1,18,5,10,3,18,1,119,90,11,10,1,108,18,6,10,4,8,7,18,0,98,31,10,1,111,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,102,10,3,18,1,100,10,3,18,1,99,66,2,16,17],this.session_options,"o")),this._stft}static get rfft(){return this._rfft||(this._rfft=J([8,9,18,0,58,97,10,33,10,1,120,10,0,10,1,97,18,1,121,34,3,68,70,84,42,15,10,8,111,110,101,115,105,100,101,100,24,1,160,1,2,18,1,100,90,21,10,1,120,18,16,10,14,8,1,18,10,10,3,18,1,115,10,3,18,1,99,90,11,10,1,97,18,6,10,4,8,7,18,0,98,21,10,1,121,18,16,10,14,8,1,18,10,10,3,18,1,115,10,3,18,1,99,66,2,16,20],this.session_options,"y")),this._rfft}static get top_k(){return this._top_k||(this._top_k=J([8,10,18,0,58,73,10,18,10,1,120,10,1,107,18,1,118,18,1,105,34,4,84,111,112,75,18,1,116,90,9,10,1,120,18,4,10,2,8,1,90,15,10,1,107,18,10,10,8,8,7,18,4,10,2,8,1,98,9,10,1,118,18,4,10,2,8,1,98,9,10,1,105,18,4,10,2,8,7,66,2,16,21],this.session_options,["v","i"])),this._top_k}static get slice(){return this._slice||(this._slice=J([8,7,18,0,58,96,10,25,10,1,120,10,1,115,10,1,101,10,1,97,10,1,116,18,1,121,34,5,83,108,105,99,101,18,1,114,90,9,10,1,120,18,4,10,2,8,1,90,9,10,1,115,18,4,10,2,8,7,90,9,10,1,101,18,4,10,2,8,7,90,9,10,1,97,18,4,10,2,8,7,90,9,10,1,116,18,4,10,2,8,7,98,9,10,1,121,18,4,10,2,8,1,66,2,16,13],this.session_options,"y")),this._slice}}},"./src/pipelines.js":($,j,O)=>{/*!**************************!*\ + !*** ./src/pipelines.js ***! + \**************************/O.r(j),O.d(j,{AudioClassificationPipeline:()=>V0,AutomaticSpeechRecognitionPipeline:()=>$0,BackgroundRemovalPipeline:()=>F0,DepthEstimationPipeline:()=>M0,DocumentQuestionAnsweringPipeline:()=>q0,FeatureExtractionPipeline:()=>r,FillMaskPipeline:()=>w,ImageClassificationPipeline:()=>G0,ImageFeatureExtractionPipeline:()=>e,ImageSegmentationPipeline:()=>S0,ImageToImagePipeline:()=>Z0,ImageToTextPipeline:()=>i,ObjectDetectionPipeline:()=>n,Pipeline:()=>D,QuestionAnsweringPipeline:()=>z,SummarizationPipeline:()=>W,Text2TextGenerationPipeline:()=>T,TextClassificationPipeline:()=>I,TextGenerationPipeline:()=>A,TextToAudioPipeline:()=>p0,TokenClassificationPipeline:()=>k,TranslationPipeline:()=>E,ZeroShotAudioClassificationPipeline:()=>v0,ZeroShotClassificationPipeline:()=>l,ZeroShotImageClassificationPipeline:()=>s,ZeroShotObjectDetectionPipeline:()=>R0,pipeline:()=>e0});var G=O("./src/tokenizers.js"),Z=O("./src/models.js"),V=O("./src/models/auto/processing_auto.js");/*! ./tokenizers.js *//*! ./models.js *//*! ./models/auto/processing_auto.js */O("./src/base/processing_utils.js");/*! ./base/processing_utils.js */var N=O("./src/utils/generic.js"),J=O("./src/utils/core.js"),R=O("./src/utils/maths.js"),U=O("./src/utils/audio.js"),H=O("./src/utils/tensor.js"),L=O("./src/utils/image.js");/*! ./utils/generic.js *//*! ./utils/core.js *//*! ./utils/maths.js *//*! ./utils/audio.js *//*! ./utils/tensor.js *//*! ./utils/image.js */async function Y(N0){return Array.isArray(N0)||(N0=[N0]),await Promise.all(N0.map((P0)=>L.RawImage.read(P0)))}async function S(N0,P0){return Array.isArray(N0)||(N0=[N0]),await Promise.all(N0.map((Q0)=>typeof Q0=="string"||Q0 instanceof URL?(0,U.read_audio)(Q0,P0):Q0 instanceof Float64Array?new Float32Array(Q0):Q0))}function X(N0,P0){P0&&(N0=N0.map((J5)=>0|J5));let[Q0,a0,r0,g0]=N0;return{xmin:Q0,ymin:a0,xmax:r0,ymax:g0}}class D extends N.Callable{constructor({task:N0,model:P0,tokenizer:Q0=null,processor:a0=null}){super(),this.task=N0,this.model=P0,this.tokenizer=Q0,this.processor=a0}async dispose(){await this.model.dispose()}}class I extends D{constructor(N0){super(N0)}async _call(N0,{top_k:P0=1}={}){let Q0=this.tokenizer(N0,{padding:!0,truncation:!0}),a0=await this.model(Q0),r0=this.model.config.problem_type==="multi_label_classification"?(t0)=>t0.sigmoid():(t0)=>new H.Tensor("float32",(0,R.softmax)(t0.data),t0.dims),g0=this.model.config.id2label,J5=[];for(let t0 of a0.logits){let y5=r0(t0),R5=await(0,H.topk)(y5,P0),U5=R5[0].tolist(),T0=R5[1].tolist().map((s0,D5)=>({label:g0?g0[s0]:`LABEL_${s0}`,score:U5[D5]}));P0===1?J5.push(...T0):J5.push(T0)}return Array.isArray(N0)||P0===1?J5:J5[0]}}class k extends D{constructor(N0){super(N0)}async _call(N0,{ignore_labels:P0=["O"]}={}){let Q0=Array.isArray(N0),a0=this.tokenizer(Q0?N0:[N0],{padding:!0,truncation:!0}),r0=(await this.model(a0)).logits,g0=this.model.config.id2label,J5=[];for(let t0=0;t0V5==this.tokenizer.sep_token_id);t0[U5].map((V5,U6)=>V5==1&&(U6===0||U6>s0&&y5.findIndex((t)=>t==T0[U6])===-1));let D5=r0[U5].tolist(),L5=g0[U5].tolist();for(let V5=1;V5U6==T0[V5])!==-1)&&(D5[V5]=-1/0,L5[V5]=-1/0);let d5=(0,R.softmax)(D5).map((V5,U6)=>[V5,U6]),T5=(0,R.softmax)(L5).map((V5,U6)=>[V5,U6]);d5[0][0]=0,T5[0][0]=0;let $5=(0,J.product)(d5,T5).filter((V5)=>V5[0][1]<=V5[1][1]).map((V5)=>[V5[0][1],V5[1][1],V5[0][0]*V5[1][0]]).sort((V5,U6)=>U6[2]-V5[2]);for(let V5=0;V5D5==this.tokenizer.mask_token_id);if(y5===-1)throw Error(`Mask token (${this.tokenizer.mask_token}) not found in text.`);let R5=a0[J5][y5],U5=await(0,H.topk)(new H.Tensor("float32",(0,R.softmax)(R5.data),R5.dims),P0),T0=U5[0].tolist(),s0=U5[1].tolist();r0.push(s0.map((D5,L5)=>{let d5=t0.slice();return d5[y5]=D5,{score:T0[L5],token:Number(D5),token_str:this.tokenizer.decode([D5]),sequence:this.tokenizer.decode(d5,{skip_special_tokens:!0})}}))}return Array.isArray(N0)?r0:r0[0]}}class T extends D{_key="generated_text";constructor(N0){super(N0)}async _call(N0,P0={}){Array.isArray(N0)||(N0=[N0]),this.model.config.prefix&&(N0=N0.map((t0)=>this.model.config.prefix+t0));let Q0=this.model.config.task_specific_params;Q0&&Q0[this.task]&&Q0[this.task].prefix&&(N0=N0.map((t0)=>Q0[this.task].prefix+t0));let a0=this.tokenizer,r0={padding:!0,truncation:!0},g0;g0=this instanceof E&&"_build_translation_inputs"in a0?a0._build_translation_inputs(N0,r0,P0):a0(N0,r0);let J5=await this.model.generate({...g0,...P0});return a0.batch_decode(J5,{skip_special_tokens:!0}).map((t0)=>({[this._key]:t0}))}}class W extends T{_key="summary_text";constructor(N0){super(N0)}}class E extends T{_key="translation_text";constructor(N0){super(N0)}}function Q(N0){return Array.isArray(N0)&&N0.every((P0)=>("role"in P0)&&("content"in P0))}class A extends D{constructor(N0){super(N0)}async _call(N0,P0={}){let Q0,a0=!1,r0=!1;if(typeof N0=="string")Q0=N0=[N0];else if(Array.isArray(N0)&&N0.every((s0)=>typeof s0=="string"))a0=!0,Q0=N0;else{if(Q(N0))N0=[N0];else{if(!Array.isArray(N0)||!N0.every(Q))throw Error("Input must be a string, an array of strings, a Chat, or an array of Chats");a0=!0}r0=!0,Q0=N0.map((s0)=>this.tokenizer.apply_chat_template(s0,{tokenize:!1,add_generation_prompt:!0}))}let g0=P0.add_special_tokens??!1,J5=!r0&&(P0.return_full_text??!0);this.tokenizer.padding_side="left";let t0=this.tokenizer(Q0,{add_special_tokens:g0,padding:!0,truncation:!0}),y5=await this.model.generate({...t0,...P0}),R5=this.tokenizer.batch_decode(y5,{skip_special_tokens:!0}),U5;!J5&&t0.input_ids.dims.at(-1)>0&&(U5=this.tokenizer.batch_decode(t0.input_ids,{skip_special_tokens:!0}).map((s0)=>s0.length));let T0=Array.from({length:N0.length},(s0)=>[]);for(let s0=0;s0[P0.toLowerCase(),Q0])),this.entailment_id=this.label2id.entailment,this.entailment_id===void 0&&(console.warn("Could not find 'entailment' in label2id mapping. Using 2 as entailment_id."),this.entailment_id=2),this.contradiction_id=this.label2id.contradiction??this.label2id.not_entailment,this.contradiction_id===void 0&&(console.warn("Could not find 'contradiction' in label2id mapping. Using 0 as contradiction_id."),this.contradiction_id=0)}async _call(N0,P0,{hypothesis_template:Q0="This example is {}.",multi_label:a0=!1}={}){let r0=Array.isArray(N0);r0||(N0=[N0]),Array.isArray(P0)||(P0=[P0]);let g0=P0.map((y5)=>Q0.replace("{}",y5)),J5=a0||P0.length===1,t0=[];for(let y5 of N0){let R5=[];for(let T0 of g0){let s0=this.tokenizer(y5,{text_pair:T0,padding:!0,truncation:!0}),D5=await this.model(s0);J5?R5.push([D5.logits.data[this.contradiction_id],D5.logits.data[this.entailment_id]]):R5.push(D5.logits.data[this.entailment_id])}let U5=(J5?R5.map((T0)=>(0,R.softmax)(T0)[1]):(0,R.softmax)(R5)).map((T0,s0)=>[T0,s0]).sort((T0,s0)=>s0[0]-T0[0]);t0.push({sequence:y5,labels:U5.map((T0)=>P0[T0[1]]),scores:U5.map((T0)=>T0[0])})}return r0?t0:t0[0]}}class r extends D{constructor(N0){super(N0)}async _call(N0,{pooling:P0="none",normalize:Q0=!1,quantize:a0=!1,precision:r0="binary"}={}){let g0=this.tokenizer(N0,{padding:!0,truncation:!0}),J5=await this.model(g0),t0=J5.last_hidden_state??J5.logits??J5.token_embeddings;if(P0==="none");else if(P0==="mean")t0=(0,H.mean_pooling)(t0,g0.attention_mask);else{if(P0!=="cls")throw Error(`Pooling method '${P0}' not supported.`);t0=t0.slice(null,0)}return Q0&&(t0=t0.normalize(2,-1)),a0&&(t0=(0,H.quantize_embeddings)(t0,r0)),t0}}class e extends D{constructor(N0){super(N0)}async _call(N0,{pool:P0=null}={}){let Q0=await Y(N0),{pixel_values:a0}=await this.processor(Q0),r0=await this.model({pixel_values:a0}),g0;if(P0){if(!("pooler_output"in r0))throw Error("No pooled output was returned. 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of t0){let U5=await this.processor(R5),T0=await this.model({...g0,...U5}),s0=(0,R.softmax)(T0.logits_per_audio.data);y5.push([...s0].map((D5,L5)=>({score:D5,label:P0[L5]})))}return a0?y5[0]:y5}}class $0 extends D{constructor(N0){super(N0)}async _call(N0,P0={}){switch(this.model.config.model_type){case"whisper":case"lite-whisper":return this._call_whisper(N0,P0);case"wav2vec2":case"wav2vec2-bert":case"unispeech":case"unispeech-sat":case"hubert":return this._call_wav2vec2(N0,P0);case"moonshine":return this._call_moonshine(N0,P0);default:throw Error(`AutomaticSpeechRecognitionPipeline does not support model type '${this.model.config.model_type}'.`)}}async _call_wav2vec2(N0,P0){P0.language&&console.warn('`language` parameter is not yet supported for `wav2vec2` models, defaulting to "English".'),P0.task&&console.warn('`task` parameter is not yet supported for `wav2vec2` models, defaulting to "transcribe".');let Q0=!Array.isArray(N0);Q0&&(N0=[N0]);let a0=this.processor.feature_extractor.config.sampling_rate,r0=await S(N0,a0),g0=[];for(let J5 of r0){let t0=await this.processor(J5),y5=(await this.model(t0)).logits[0],R5=[];for(let T0 of y5)R5.push((0,R.max)(T0.data)[1]);let U5=this.tokenizer.decode(R5);g0.push({text:U5})}return Q0?g0[0]:g0}async _call_whisper(N0,P0){let Q0=P0.return_timestamps??!1,a0=P0.chunk_length_s??0,r0=P0.force_full_sequences??!1,g0=P0.stride_length_s??null,J5={...P0};Q0==="word"&&(J5.return_token_timestamps=!0,J5.return_timestamps=!1);let t0=!Array.isArray(N0);t0&&(N0=[N0]);let y5=this.processor.feature_extractor.config.chunk_length/this.model.config.max_source_positions,R5=this.processor.feature_extractor.config.hop_length,U5=this.processor.feature_extractor.config.sampling_rate,T0=await S(N0,U5),s0=[];for(let D5 of T0){let L5=[];if(a0>0){if(g0===null)g0=a0/6;else if(a0<=g0)throw Error("`chunk_length_s` must be larger than `stride_length_s`.");let $5=U5*a0,V5=U5*g0,U6=$5-2*V5,t=0;for(;;){let y0=t+$5,O0=D5.subarray(t,y0),I0=await this.processor(O0),w0=t===0,H5=y0>=D5.length;if(L5.push({stride:[O0.length,w0?0:V5,H5?0:V5],input_features:I0.input_features,is_last:H5}),H5)break;t+=U6}}else L5=[{stride:[D5.length,0,0],input_features:(await this.processor(D5)).input_features,is_last:!0}];for(let $5 of L5){J5.num_frames=Math.floor($5.stride[0]/R5);let V5=await this.model.generate({inputs:$5.input_features,...J5});Q0==="word"?($5.tokens=V5.sequences.tolist()[0],$5.token_timestamps=V5.token_timestamps.tolist()[0].map((U6)=>(0,R.round)(U6,2))):$5.tokens=V5[0].tolist(),$5.stride=$5.stride.map((U6)=>U6/U5)}let[d5,T5]=this.tokenizer._decode_asr(L5,{time_precision:y5,return_timestamps:Q0,force_full_sequences:r0});s0.push({text:d5,...T5})}return t0?s0[0]:s0}async _call_moonshine(N0,P0){let Q0=!Array.isArray(N0);Q0&&(N0=[N0]);let a0=this.processor.feature_extractor.config.sampling_rate,r0=await S(N0,a0),g0=[];for(let J5 of r0){let t0=await this.processor(J5),y5=6*Math.floor(J5.length/a0),R5=await this.model.generate({max_new_tokens:y5,...P0,...t0}),U5=this.processor.batch_decode(R5,{skip_special_tokens:!0})[0];g0.push({text:U5})}return Q0?g0[0]:g0}}class i extends D{constructor(N0){super(N0)}async _call(N0,P0={}){let Q0=Array.isArray(N0),a0=await Y(N0),{pixel_values:r0}=await this.processor(a0),g0=[];for(let J5 of r0){J5.dims=[1,...J5.dims];let t0=await this.model.generate({inputs:J5,...P0}),y5=this.tokenizer.batch_decode(t0,{skip_special_tokens:!0}).map((R5)=>({generated_text:R5.trim()}));g0.push(y5)}return Q0?g0:g0[0]}}class G0 extends D{constructor(N0){super(N0)}async _call(N0,{top_k:P0=5}={}){let Q0=await Y(N0),{pixel_values:a0}=await this.processor(Q0),r0=await this.model({pixel_values:a0}),g0=this.model.config.id2label,J5=[];for(let t0 of r0.logits){let y5=await(0,H.topk)(new 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Error(`Input name ${T5} already exists in the inputs.`);R5[T5]=R5.pixel_values}let s0=await this.model(R5),D5=null;if(J5!==null)D5=this.subtasks_mapping[J5];else if(this.processor.image_processor){for(let[T5,$5]of Object.entries(this.subtasks_mapping))if($5 in this.processor.image_processor){D5=this.processor.image_processor[$5].bind(this.processor.image_processor),J5=T5;break}}let L5=this.model.config.id2label,d5=[];if(J5)if(J5==="panoptic"||J5==="instance"){let T5=D5(s0,P0,Q0,a0,r0,g0??y5)[0],$5=T5.segmentation;for(let V5 of T5.segments_info){let U6=new Uint8ClampedArray($5.data.length);for(let y0=0;y0<$5.data.length;++y0)$5.data[y0]===V5.id&&(U6[y0]=255);let t=new L.RawImage(U6,$5.dims[1],$5.dims[0],1);d5.push({score:V5.score,label:L5[V5.label_id],mask:t})}}else{if(J5!=="semantic")throw Error(`Subtask ${J5} not supported.`);{let{segmentation:T5,labels:$5}=D5(s0,g0??y5)[0];for(let V5 of $5){let U6=new Uint8ClampedArray(T5.data.length);for(let 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y5.logits_per_image){let s0=[...R5(T0)].map((D5,L5)=>({score:D5,label:P0[L5]}));s0.sort((D5,L5)=>L5.score-D5.score),U5.push(s0)}return a0?U5:U5[0]}}class n extends D{constructor(N0){super(N0)}async _call(N0,{threshold:P0=0.9,percentage:Q0=!1}={}){let a0=Array.isArray(N0);if(a0&&N0.length!==1)throw Error("Object detection pipeline currently only supports a batch size of 1.");let r0=await Y(N0),g0=Q0?null:r0.map((s0)=>[s0.height,s0.width]),{pixel_values:J5,pixel_mask:t0}=await this.processor(r0),y5=await this.model({pixel_values:J5,pixel_mask:t0}),R5=this.processor.image_processor.post_process_object_detection(y5,P0,g0),U5=this.model.config.id2label,T0=R5.map((s0)=>s0.boxes.map((D5,L5)=>({score:s0.scores[L5],label:U5[s0.classes[L5]],box:X(D5,!Q0)})));return a0?T0:T0[0]}}class R0 extends D{constructor(N0){super(N0)}async _call(N0,P0,{threshold:Q0=0.1,top_k:a0=null,percentage:r0=!1}={}){let g0=Array.isArray(N0),J5=await Y(N0),t0=this.tokenizer(P0,{padding:!0,truncation:!0}),y5=await 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E{constructor(p){this.content=p.content,this.id=p.id,this.single_word=p.single_word??!1,this.lstrip=p.lstrip??!1,this.rstrip=p.rstrip??!1,this.special=p.special??!1,this.normalized=p.normalized??null}}class Q extends G.Callable{constructor(p){super(),this.config=p,this.vocab=[],this.tokens_to_ids=new Map,this.unk_token_id=void 0,this.unk_token=void 0,this.end_of_word_suffix=void 0,this.fuse_unk=this.config.fuse_unk??!1}static fromConfig(p,...x0){switch(p.type){case"WordPiece":return new A(p);case"Unigram":return new l(p,...x0);case"BPE":return new V0(p);default:if(p.vocab)return Array.isArray(p.vocab)?new l(p,...x0):Object.hasOwn(p,"continuing_subword_prefix")&&Object.hasOwn(p,"unk_token")?Object.hasOwn(p,"merges")?new V0(p):new A(p):new v0(p,...x0);throw Error(`Unknown TokenizerModel type: ${p.type}`)}}_call(p){return p=this.encode(p),this.fuse_unk&&(p=function(x0,X0,W0){let h0=[],c0=0;for(;c0this.tokens_to_ids.get(x0)??this.unk_token_id)}convert_ids_to_tokens(p){return p.map((x0)=>this.vocab[x0]??this.unk_token)}}class A extends Q{constructor(p){super(p),this.tokens_to_ids=S(p.vocab),this.unk_token_id=this.tokens_to_ids.get(p.unk_token),this.unk_token=p.unk_token,this.max_input_chars_per_word=p.max_input_chars_per_word??100,this.vocab=Array(this.tokens_to_ids.size);for(let[x0,X0]of this.tokens_to_ids)this.vocab[X0]=x0}encode(p){let x0=[];for(let X0 of p){let W0=[...X0];if(W0.length>this.max_input_chars_per_word){x0.push(this.unk_token);continue}let h0=!1,c0=0,F5=[];for(;c00&&(P5=this.config.continuing_subword_prefix+P5),this.tokens_to_ids.has(P5)){b5=P5;break}--W5}if(b5===null){h0=!0;break}F5.push(b5),c0=W5}h0?x0.push(this.unk_token):x0.push(...F5)}return x0}}class l extends Q{constructor(p,x0){super(p);let X0=p.vocab.length;this.vocab=Array(X0),this.scores=Array(X0);for(let W0=0;W0[W0,h0])),this.bos_token=" ",this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=x0.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.unk_token=this.vocab[this.unk_token_id],this.minScore=(0,N.min)(this.scores)[0],this.unk_score=this.minScore-10,this.scores[this.unk_token_id]=this.unk_score,this.trie=new R.CharTrie,this.trie.extend(this.vocab),this.fuse_unk=!0}populateNodes(p){let x0=p.chars,X0=0;for(;X0{let p=[...Array.from({length:94},(h0,c0)=>c0+33),...Array.from({length:"¬".charCodeAt(0)-"¡".charCodeAt(0)+1},(h0,c0)=>c0+"¡".charCodeAt(0)),...Array.from({length:"ÿ".charCodeAt(0)-"®".charCodeAt(0)+1},(h0,c0)=>c0+"®".charCodeAt(0))],x0=p.slice(),X0=0;for(let h0=0;h0<256;++h0)p.includes(h0)||(p.push(h0),x0.push(256+X0),X0+=1);let W0=x0.map((h0)=>String.fromCharCode(h0));return Object.fromEntries(p.map((h0,c0)=>[h0,W0[c0]]))})(),e=(0,Z.reverseDictionary)(r);class V0 extends Q{constructor(p){super(p),this.tokens_to_ids=S(p.vocab),this.unk_token_id=this.tokens_to_ids.get(p.unk_token),this.unk_token=p.unk_token,this.vocab=Array(this.tokens_to_ids.size);for(let[X0,W0]of this.tokens_to_ids)this.vocab[W0]=X0;let x0=Array.isArray(p.merges[0]);this.merges=x0?p.merges:p.merges.map((X0)=>X0.split(" ",2)),this.bpe_ranks=new Map(this.merges.map((X0,W0)=>[JSON.stringify(X0),W0])),this.end_of_word_suffix=p.end_of_word_suffix,this.continuing_subword_suffix=p.continuing_subword_suffix??null,this.byte_fallback=this.config.byte_fallback??!1,this.byte_fallback&&(this.text_encoder=new TextEncoder),this.ignore_merges=this.config.ignore_merges??!1,this.max_length_to_cache=256,this.cache_capacity=1e4,this.cache=new R.LRUCache(this.cache_capacity)}clear_cache(){this.cache.clear()}bpe(p){if(p.length===0)return[];let x0=this.cache.get(p);if(x0!==void 0)return x0;let X0=Array.from(p);this.end_of_word_suffix&&(X0[X0.length-1]+=this.end_of_word_suffix);let W0=[];if(X0.length>1){let h0=new R.PriorityQueue((W5,b5)=>W5.score`<0x${F5.toString(16).toUpperCase().padStart(2,"0")}>`);c0.every((F5)=>this.tokens_to_ids.has(F5))?x0.push(...c0):x0.push(this.unk_token)}else x0.push(this.unk_token)}return x0}}class v0 extends Q{constructor(p,x0){super(p),this.tokens_to_ids=S(x0.target_lang?p.vocab[x0.target_lang]:p.vocab),this.bos_token=x0.bos_token,this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=x0.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.pad_token=x0.pad_token,this.pad_token_id=this.tokens_to_ids.get(this.pad_token),this.unk_token=x0.unk_token,this.unk_token_id=this.tokens_to_ids.get(this.unk_token),this.vocab=Array(this.tokens_to_ids.size);for(let[X0,W0]of this.tokens_to_ids)this.vocab[W0]=X0}encode(p){return p}}class $0 extends G.Callable{constructor(p){super(),this.config=p}static fromConfig(p){if(p===null)return null;switch(p.type){case"BertNormalizer":return new q5(p);case"Precompiled":return new I0(p);case"Sequence":return new M0(p);case"Replace":return new i(p);case"NFC":return new S0(p);case"NFD":return new F0(p);case"NFKC":return new s(p);case"NFKD":return new n(p);case"Strip":return new R0(p);case"StripAccents":return new q0(p);case"Lowercase":return new p0(p);case"Prepend":return new Z0(p);default:throw Error(`Unknown Normalizer type: ${p.type}`)}}normalize(p){throw Error("normalize should be implemented in subclass.")}_call(p){return this.normalize(p)}}class i extends $0{normalize(p){let x0=Y(this.config.pattern);return x0===null?p:p.replaceAll(x0,this.config.content)}}class G0 extends $0{form=void 0;normalize(p){return p=p.normalize(this.form)}}class S0 extends G0{form="NFC"}class F0 extends G0{form="NFD"}class s extends G0{form="NFKC"}class n extends G0{form="NFKD"}class R0 extends $0{normalize(p){return this.config.strip_left&&this.config.strip_right?p=p.trim():(this.config.strip_left&&(p=p.trimStart()),this.config.strip_right&&(p=p.trimEnd())),p}}class q0 extends $0{normalize(p){return p=I(p)}}class p0 extends $0{normalize(p){return p=p.toLowerCase()}}class Z0 extends $0{normalize(p){return p=this.config.prepend+p}}class M0 extends $0{constructor(p){super(p),this.normalizers=p.normalizers.map((x0)=>$0.fromConfig(x0))}normalize(p){return this.normalizers.reduce((x0,X0)=>X0.normalize(x0),p)}}class q5 extends $0{_tokenize_chinese_chars(p){let x0=[];for(let X0=0;X0this.pre_tokenize_text(X0,x0)):this.pre_tokenize_text(p,x0)).flat()}_call(p,x0){return this.pre_tokenize(p,x0)}}class e0 extends E0{constructor(p){super(),this.pattern=new RegExp(`[^\\s${z}]+|[${z}]`,"gu")}pre_tokenize_text(p,x0){return p.trim().match(this.pattern)||[]}}class N0 extends E0{constructor(p){super(),this.config=p,this.add_prefix_space=this.config.add_prefix_space,this.trim_offsets=this.config.trim_offsets,this.use_regex=this.config.use_regex??!0,this.pattern=/'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+/gu,this.byte_encoder=r,this.text_encoder=new TextEncoder}pre_tokenize_text(p,x0){return this.add_prefix_space&&!p.startsWith(" ")&&(p=" "+p),(this.use_regex?p.match(this.pattern)||[]:[p]).map((X0)=>Array.from(this.text_encoder.encode(X0),(W0)=>this.byte_encoder[W0]).join(""))}}class P0 extends E0{constructor(p){super(),this.config=p,this.pattern=Y(this.config.pattern,this.config.invert)}pre_tokenize_text(p,x0){return this.pattern===null?[]:this.config.invert?p.match(this.pattern)||[]:this.config.behavior?.toLowerCase()==="removed"?p.split(this.pattern).filter((X0)=>X0):function(X0,W0){let h0=[],c0=0;for(let F5 of X0.matchAll(W0)){let W5=F5[0];c00&&h0.push(W5),c0=F5.index+W5.length}return c0r0.fromConfig(x0))}post_process(p,x0=null,X0={}){let W0;for(let h0 of this.processors)if(h0 instanceof y5){if(p=h0.post_process(p).tokens,x0)x0=h0.post_process(x0).tokens}else{let c0=h0.post_process(p,x0,X0);p=c0.tokens,W0=c0.token_type_ids}return{tokens:p,token_type_ids:W0}}}class U5 extends G.Callable{constructor(p){super(),this.config=p,this.added_tokens=[],this.end_of_word_suffix=null,this.trim_offsets=p.trim_offsets}static fromConfig(p){if(p===null)return null;switch(p.type){case"WordPiece":return new d5(p);case"Metaspace":return new O0(p);case"ByteLevel":return new T5(p);case"Replace":return new T0(p);case"ByteFallback":return new s0(p);case"Fuse":return new D5(p);case"Strip":return new L5(p);case"Sequence":return new V5(p);case"CTC":return new $5(p);case"BPEDecoder":return new U6(p);default:throw Error(`Unknown Decoder type: ${p.type}`)}}_call(p){return this.decode(p)}decode(p){return this.decode_chain(p).join("")}decode_chain(p){throw Error("`decode_chain` should be implemented in subclass.")}}class T0 extends U5{decode_chain(p){let x0=Y(this.config.pattern);return x0===null?p:p.map((X0)=>X0.replaceAll(x0,this.config.content))}}class s0 extends U5{constructor(p){super(p),this.text_decoder=new TextDecoder}decode_chain(p){let x0=[],X0=[];for(let W0 of p){let h0=null;if(W0.length===6&&W0.startsWith("<0x")&&W0.endsWith(">")){let c0=parseInt(W0.slice(3,5),16);isNaN(c0)||(h0=c0)}if(h0!==null)X0.push(h0);else{if(X0.length>0){let c0=this.text_decoder.decode(Uint8Array.from(X0));x0.push(c0),X0=[]}x0.push(W0)}}if(X0.length>0){let W0=this.text_decoder.decode(Uint8Array.from(X0));x0.push(W0),X0=[]}return x0}}class D5 extends U5{decode_chain(p){return[p.join("")]}}class L5 extends U5{constructor(p){super(p),this.content=this.config.content,this.start=this.config.start,this.stop=this.config.stop}decode_chain(p){return p.map((x0)=>{let X0=0;for(let h0=0;h0(X0!==0&&(x0=x0.startsWith(this.config.prefix)?x0.replace(this.config.prefix,""):" "+x0),this.cleanup&&(x0=D(x0)),x0))}}class T5 extends U5{constructor(p){super(p),this.byte_decoder=e,this.text_decoder=new 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U5{constructor(p){super(p),this.decoders=p.decoders.map((x0)=>U5.fromConfig(x0))}decode_chain(p){return this.decoders.reduce((x0,X0)=>X0.decode_chain(x0),p)}}class U6 extends U5{constructor(p){super(p),this.suffix=this.config.suffix}decode_chain(p){return p.map((x0,X0)=>x0.replaceAll(this.suffix,X0===p.length-1?"":" "))}}class t extends U5{decode_chain(p){let x0="";for(let X0=1;X0X0.normalize("NFKC")).join("～");else p=p.normalize("NFKC");return p}}class w0 extends E0{constructor(p){super(),this.tokenizers=p.pretokenizers.map((x0)=>E0.fromConfig(x0))}pre_tokenize_text(p,x0){return this.tokenizers.reduce((X0,W0)=>W0.pre_tokenize(X0,x0),[p])}}class H5 extends E0{constructor(p){super()}pre_tokenize_text(p,x0){return p.match(/\w+|[^\w\s]+/g)||[]}}class N5 extends E0{constructor(p){super()}pre_tokenize_text(p,x0){return function(X0){return X0.match(/\S+/g)||[]}(p)}}class g5 extends 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p.added_tokens){let W0=new E(X0);this.added_tokens.push(W0),this.model.tokens_to_ids.set(W0.content,W0.id),this.model.vocab[W0.id]=W0.content,W0.special&&(this.special_tokens.push(W0.content),this.all_special_ids.push(W0.id))}if(this.additional_special_tokens=x0.additional_special_tokens??[],this.special_tokens.push(...this.additional_special_tokens),this.special_tokens=[...new Set(this.special_tokens)],this.decoder&&(this.decoder.added_tokens=this.added_tokens,this.decoder.end_of_word_suffix=this.model.end_of_word_suffix),this.added_tokens_splitter=new R.DictionarySplitter(this.added_tokens.map((X0)=>X0.content)),this.added_tokens_map=new Map(this.added_tokens.map((X0)=>[X0.content,X0])),this.mask_token=this.getToken("mask_token"),this.mask_token_id=this.model.tokens_to_ids.get(this.mask_token),this.pad_token=this.getToken("pad_token","eos_token"),this.pad_token_id=this.model.tokens_to_ids.get(this.pad_token),this.sep_token=this.getToken("sep_token"),this.sep_token_id=this.model.tokens_to_ids.get(this.sep_token),this.unk_token=this.getToken("unk_token"),this.unk_token_id=this.model.tokens_to_ids.get(this.unk_token),this.bos_token=this.getToken("bos_token"),this.bos_token_id=this.model.tokens_to_ids.get(this.bos_token),this.eos_token=this.getToken("eos_token"),this.eos_token_id=this.model.tokens_to_ids.get(this.eos_token),this.model_max_length=x0.model_max_length,this.remove_space=x0.remove_space,this.clean_up_tokenization_spaces=x0.clean_up_tokenization_spaces??!0,this.do_lowercase_and_remove_accent=x0.do_lowercase_and_remove_accent??!1,x0.padding_side&&(this.padding_side=x0.padding_side),this.legacy=!1,this.chat_template=x0.chat_template??null,Array.isArray(this.chat_template)){let X0=Object.create(null);for(let{name:W0,template:h0}of this.chat_template){if(typeof W0!="string"||typeof h0!="string")throw Error('Chat template must be a list of objects with "name" and "template" properties');X0[W0]=h0}this.chat_template=X0}this._compiled_template_cache=new Map}getToken(...p){for(let x0 of p){let X0=this._tokenizer_config[x0];if(X0){if(typeof X0=="object"){if(X0.__type==="AddedToken")return X0.content;throw Error(`Unknown token: ${X0}`)}return X0}}return null}static async from_pretrained(p,{progress_callback:x0=null,config:X0=null,cache_dir:W0=null,local_files_only:h0=!1,revision:c0="main",legacy:F5=null}={}){return new this(...await L(p,{progress_callback:x0,config:X0,cache_dir:W0,local_files_only:h0,revision:c0,legacy:F5}))}_call(p,{text_pair:x0=null,add_special_tokens:X0=!0,padding:W0=!1,truncation:h0=null,max_length:c0=null,return_tensor:F5=!0,return_token_type_ids:W5=null}={}){let b5=Array.isArray(p),P5;if(b5){if(p.length===0)throw Error("text array must be non-empty");if(x0!==null){if(!Array.isArray(x0))throw Error("text_pair must also be an array");if(p.length!==x0.length)throw Error("text and text_pair must have the same length");P5=p.map((_6,O9)=>this._encode_plus(_6,{text_pair:x0[O9],add_special_tokens:X0,return_token_type_ids:W5}))}else P5=p.map((_6)=>this._encode_plus(_6,{add_special_tokens:X0,return_token_type_ids:W5}))}else{if(p==null)throw Error("text may not be null or undefined");if(Array.isArray(x0))throw Error("When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array).");P5=[this._encode_plus(p,{text_pair:x0,add_special_tokens:X0,return_token_type_ids:W5})]}if(c0===null?c0=this.model_max_length:h0===null&&(W0===!0?(console.warn("`max_length` is ignored when `padding: true` and there is no truncation strategy. To pad to max length, use `padding: 'max_length'`."),c0=this.model_max_length):W0===!1&&(console.warn("Truncation was not explicitly activated but `max_length` is provided a specific value, please use `truncation: true` to explicitly truncate examples to max length."),h0=!0)),W0===!0&&(c0=Math.min((0,N.max)(P5.map((_6)=>_6.input_ids.length))[0],c0??1/0)),c0=Math.min(c0,this.model_max_length??1/0),W0||h0)for(let _6=0;_6c0?h0&&K6(P5[_6],c0):W0&&S5(P5[_6],c0,(O9)=>O9==="input_ids"?this.pad_token_id:0,this.padding_side));let S6={};if(F5){if((!W0||!h0)&&P5.some((O9)=>{for(let g6 of Object.keys(O9))if(O9[g6].length!==P5[0][g6]?.length)return!0;return!1}))throw Error("Unable to create tensor, you should probably activate truncation and/or padding with 'padding=true' and 'truncation=true' to have batched tensors with the same length.");let _6=[P5.length,P5[0].input_ids.length];for(let O9 of Object.keys(P5[0]))S6[O9]=new J.Tensor("int64",BigInt64Array.from(P5.flatMap((g6)=>g6[O9]).map(BigInt)),_6)}else{for(let _6 of Object.keys(P5[0]))S6[_6]=P5.map((O9)=>O9[_6]);if(!b5)for(let _6 of Object.keys(S6))S6[_6]=S6[_6][0]}return S6}_encode_text(p){if(p===null)return null;let x0=this.added_tokens_splitter.split(p);for(let W0=0;W00&&(x0[W0-1]=x0[W0-1].trimEnd()),h0.rstrip&&W0{if(W0.length===0)return[];if(this.added_tokens_map.has(W0))return[W0];if(this.remove_space===!0&&(W0=W0.trim().split(/\s+/).join(" ")),this.do_lowercase_and_remove_accent&&(W0=function(F5){return I(F5.toLowerCase())}(W0)),this.normalizer!==null&&(W0=this.normalizer(W0)),W0.length===0)return[];let c0=this.pre_tokenizer!==null?this.pre_tokenizer(W0,{section_index:h0}):[W0];return this.model(c0)})}_encode_plus(p,{text_pair:x0=null,add_special_tokens:X0=!0,return_token_type_ids:W0=null}={}){let{tokens:h0,token_type_ids:c0}=this._tokenize_helper(p,{pair:x0,add_special_tokens:X0}),F5=this.model.convert_tokens_to_ids(h0),W5={input_ids:F5,attention_mask:Array(F5.length).fill(1)};return(W0??this.return_token_type_ids)&&c0&&(W5.token_type_ids=c0),W5}_tokenize_helper(p,{pair:x0=null,add_special_tokens:X0=!1}={}){let W0=this._encode_text(p),h0=this._encode_text(x0);return this.post_processor?this.post_processor(W0,h0,{add_special_tokens:X0}):{tokens:(0,Z.mergeArrays)(W0??[],h0??[])}}tokenize(p,{pair:x0=null,add_special_tokens:X0=!1}={}){return this._tokenize_helper(p,{pair:x0,add_special_tokens:X0}).tokens}encode(p,{text_pair:x0=null,add_special_tokens:X0=!0,return_token_type_ids:W0=null}={}){return this._encode_plus(p,{text_pair:x0,add_special_tokens:X0,return_token_type_ids:W0}).input_ids}batch_decode(p,x0={}){return p instanceof J.Tensor&&(p=p.tolist()),p.map((X0)=>this.decode(X0,x0))}decode(p,x0={}){if(p instanceof J.Tensor&&(p=X(p)),!Array.isArray(p)||p.length===0||!(0,Z.isIntegralNumber)(p[0]))throw Error("token_ids must be a non-empty array of integers.");return this.decode_single(p,x0)}decode_single(p,{skip_special_tokens:x0=!1,clean_up_tokenization_spaces:X0=null}){let W0=this.model.convert_ids_to_tokens(p);x0&&(W0=W0.filter((c0)=>!this.special_tokens.includes(c0)));let h0=this.decoder?this.decoder(W0):W0.join(" ");return this.decoder&&this.decoder.end_of_word_suffix&&(h0=h0.replaceAll(this.decoder.end_of_word_suffix," "),x0&&(h0=h0.trim())),(X0??this.clean_up_tokenization_spaces)&&(h0=D(h0)),h0}get_chat_template({chat_template:p=null,tools:x0=null}={}){if(this.chat_template&&typeof this.chat_template=="object"){let X0=this.chat_template;if(p!==null&&Object.hasOwn(X0,p))p=X0[p];else if(p===null)if(x0!==null&&"tool_use"in X0)p=X0.tool_use;else{if(!("default"in X0))throw Error(`This model has multiple chat templates with no default specified! Please either pass a chat template or the name of the template you wish to use to the 'chat_template' argument. Available template names are ${Object.keys(X0).sort()}.`);p=X0.default}}else if(p===null){if(!this.chat_template)throw Error("Cannot use apply_chat_template() because tokenizer.chat_template is not set and no template argument was passed! For information about writing templates and setting the tokenizer.chat_template attribute, please see the documentation at https://huggingface.co/docs/transformers/main/en/chat_templating");p=this.chat_template}return p}apply_chat_template(p,{tools:x0=null,documents:X0=null,chat_template:W0=null,add_generation_prompt:h0=!1,tokenize:c0=!0,padding:F5=!1,truncation:W5=!1,max_length:b5=null,return_tensor:P5=!0,return_dict:S6=!1,tokenizer_kwargs:_6={},...O9}={}){if(typeof(W0=this.get_chat_template({chat_template:W0,tools:x0}))!="string")throw Error("chat_template must be a string, but got "+typeof W0);let g6=this._compiled_template_cache.get(W0);g6===void 0&&(g6=new U.Template(W0),this._compiled_template_cache.set(W0,g6));let k9=Object.create(null);for(let Z9 of Q5){let s9=this.getToken(Z9);s9&&(k9[Z9]=s9)}let w9=g6.render({messages:p,add_generation_prompt:h0,tools:x0,documents:X0,...k9,...O9});if(c0){let Z9=this._call(w9,{add_special_tokens:!1,padding:F5,truncation:W5,max_length:b5,return_tensor:P5,..._6});return S6?Z9:Z9.input_ids}return w9}}class w6 extends Y5{return_token_type_ids=!0}class Z6 extends Y5{return_token_type_ids=!0}class c6 extends Y5{return_token_type_ids=!0}class Y9 extends Y5{return_token_type_ids=!0}class y9 extends Y5{return_token_type_ids=!0}class V6 extends Y5{return_token_type_ids=!0}class a9 extends Y5{return_token_type_ids=!0}class I9 extends Y5{return_token_type_ids=!0}class z6 extends Y5{return_token_type_ids=!0}class _5 extends Y5{}class E5 extends Y5{}class v5 extends Y5{return_token_type_ids=!0;constructor(p,x0){super(p,x0),console.warn('WARNING: `XLMTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}}class o6 extends Y5{return_token_type_ids=!0}class b9 extends Y5{}class H1 extends Y5{}class x1 extends Y5{}class o9 extends Y5{constructor(p,x0){super(p,x0),this.languageRegex=/^[a-z]{2}_[A-Z]{2}$/,this.language_codes=this.special_tokens.filter((X0)=>this.languageRegex.test(X0)),this.lang_to_token=(X0)=>X0}_build_translation_inputs(p,x0,X0){return q1(this,p,x0,X0)}}class L1 extends o9{}class _1 extends Y5{}class z9 extends Y5{}let D9="▁";class p9 extends Y5{padding_side="left";constructor(p,x0){super(p,x0),this.legacy=x0.legacy??!0,this.legacy||(this.normalizer=null,this.pre_tokenizer=new y0({replacement:D9,add_prefix_space:!0,prepend_scheme:"first"}))}_encode_text(p){if(p===null)return null;if(this.legacy||p.length===0)return super._encode_text(p);let x0=super._encode_text(D9+p.replaceAll(D9," "));return x0.length>1&&x0[0]===D9&&this.special_tokens.includes(x0[1])&&(x0=x0.slice(1)),x0}}class J9 extends Y5{}class Y1 extends Y5{}class t6 extends Y5{}class f9 extends Y5{}class r9 extends Y5{}class G9 extends Y5{}class S1 extends Y5{}class A1 extends Y5{}class x9 extends Y5{}function q1(p,x0,X0,W0){if(!("language_codes"in p)||!Array.isArray(p.language_codes))throw Error("Tokenizer must have `language_codes` attribute set and it should be an array of language ids.");if(!(("languageRegex"in p)&&p.languageRegex instanceof RegExp))throw Error("Tokenizer must have `languageRegex` attribute set and it should be a regular expression.");if(!("lang_to_token"in p)||typeof p.lang_to_token!="function")throw Error("Tokenizer must have `lang_to_token` attribute set and it should be a function.");let{src_lang:h0,tgt_lang:c0}=W0;if(!p.language_codes.includes(c0))throw Error(`Target language code "${c0}" is not valid. Must be one of: {${p.language_codes.join(", ")}}`);if(h0!==void 0){if(!p.language_codes.includes(h0))throw Error(`Source language code "${h0}" is not valid. Must be one of: {${p.language_codes.join(", ")}}`);for(let F5 of p.post_processor.config.single)if("SpecialToken"in F5&&p.languageRegex.test(F5.SpecialToken.id)){F5.SpecialToken.id=p.lang_to_token(h0);break}}return W0.forced_bos_token_id=p.model.convert_tokens_to_ids([p.lang_to_token(c0)])[0],p._call(x0,X0)}class n9 extends Y5{constructor(p,x0){super(p,x0),this.languageRegex=/^[a-z]{3}_[A-Z][a-z]{3}$/,this.language_codes=this.special_tokens.filter((X0)=>this.languageRegex.test(X0)),this.lang_to_token=(X0)=>X0}_build_translation_inputs(p,x0,X0){return q1(this,p,x0,X0)}}class v9 extends Y5{constructor(p,x0){super(p,x0),this.languageRegex=/^__[a-z]{2,3}__$/,this.language_codes=this.special_tokens.filter((X0)=>this.languageRegex.test(X0)).map((X0)=>X0.slice(2,-2)),this.lang_to_token=(X0)=>`__${X0}__`}_build_translation_inputs(p,x0,X0){return q1(this,p,x0,X0)}}class L6 extends Y5{get timestamp_begin(){return this.model.convert_tokens_to_ids(["<|notimestamps|>"])[0]+1}_decode_asr(p,{return_timestamps:x0=!1,return_language:X0=!1,time_precision:W0=null,force_full_sequences:h0=!0}={}){if(W0===null)throw Error("Must specify time_precision");let c0=null,F5=x0==="word";function W5(){return{language:c0,timestamp:[null,null],text:""}}let b5=[],P5=W5(),S6=0,_6=this.timestamp_begin,O9=_6+1500,g6=[],k9=[],w9=!1,Z9=null,s9=new Set(this.all_special_ids);for(let Q6 of p){let C6=Q6.tokens,N6=F5?Q6.token_timestamps:null,s6=null,C5=_6;if("stride"in Q6){let[R9,B6,B5]=Q6.stride;if(S6-=B6,Z9=R9-B5,B6&&(C5=B6/W0+_6),B5)for(let U9=C6.length-1;U9>=0;--U9){let u0=Number(C6[U9]);if(u0>=_6){if(s6!==null&&(u0-_6)*W0=_6&&B6<=O9){let B5=(B6-_6)*W0+S6,U9=(0,N.round)(B5,2);if(s6!==null&&B6>=s6)w9=!0;else if(w9||g6.length>0&&B60?(g6.push(k6),F5&&k9.push(E9)):g6.every((R9)=>R9.length===0)&&(P5=W5(),g6=[],k6=[],k9=[],E9=[])}if(g6.length>0){if(h0&&x0)throw Error("Whisper did not predict an ending timestamp, which can happen if audio is cut off in the middle of a word. Also make sure WhisperTimeStampLogitsProcessor was used during generation.");let[Q6,C6]=this.findLongestCommonSequence(g6,k9),N6=this.decode(Q6);P5.text=N6,F5&&(P5.words=this.collateWordTimestamps(Q6,C6,c0)),b5.push(P5)}let J1=Object.create(null),P6=b5.map((Q6)=>Q6.text).join("");if(x0||X0){for(let Q6=0;Q60,F5=c0?[]:null,W5=c0?x0[0]:null;for(let b5=1;b5B6===k6[B5]&&W5[Q6+B5]<=x0[b5][s6+B5]).length:N6.filter((B6,B5)=>B6===k6[B5]).length;let R9=E9/P6+P6/1e4;E9>1&&R9>S6&&(S6=R9,_6=[Q6,C6,s6,C5])}let[g6,k9,w9,Z9]=_6,s9=Math.floor((k9+g6)/2),J1=Math.floor((Z9+w9)/2);h0.push(...X0.slice(0,s9)),X0=P5.slice(J1),W0=X0.length,c0&&(F5.push(...W5.slice(0,s9)),W5=x0[b5].slice(J1))}return h0.push(...X0),c0?(F5.push(...W5),[h0,F5]):[h0,[]]}collateWordTimestamps(p,x0,X0){let[W0,h0,c0]=this.combineTokensIntoWords(p,X0),F5=[];for(let W5=0;W5=W0){let F5=((c0-W0)*X0).toFixed(2);h0.push(`<|${F5}|>`),h0.push([])}else h0[h0.length-1].push(c0);return h0=h0.map((c0)=>typeof c0=="string"?c0:super.decode(c0,x0)),h0.join("")}splitTokensOnUnicode(p){let x0=this.decode(p,{decode_with_timestamps:!0}),X0=[],W0=[],h0=[],c0=[],F5=[],W5=0;for(let b5=0;b5=this.model.tokens_to_ids.get("<|endoftext|>"),g6=P5.startsWith(" "),k9=P5.trim(),w9=W5.test(k9);if(O9||g6||w9||h0.length===0)h0.push(P5),c0.push(S6),F5.push(_6);else{let Z9=h0.length-1;h0[Z9]+=P5,c0[Z9].push(...S6),F5[Z9].push(..._6)}}return[h0,c0,F5]}mergePunctuations(p,x0,X0,W0,h0){let c0=structuredClone(p),F5=structuredClone(x0),W5=structuredClone(X0),b5=c0.length-2,P5=c0.length-1;for(;b5>=0;)c0[b5].startsWith(" ")&&W0.includes(c0[b5].trim())?(c0[P5]=c0[b5]+c0[P5],F5[P5]=(0,Z.mergeArrays)(F5[b5],F5[P5]),W5[P5]=(0,Z.mergeArrays)(W5[b5],W5[P5]),c0[b5]="",F5[b5]=[],W5[b5]=[]):P5=b5,--b5;for(b5=0,P5=1;P5S6),F5.filter((S6)=>S6.length>0),W5.filter((S6)=>S6.length>0)]}}class m6 extends Y5{}class p6 extends Y5{}class B0 extends Y5{}class P1 extends Y5{constructor(p,x0){super(p,x0),this.languageRegex=/^(>>\w+<<)\s*/g,this.supported_language_codes=this.model.vocab.filter((X0)=>this.languageRegex.test(X0)),console.warn('WARNING: `MarianTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}_encode_text(p){if(p===null)return null;let[x0,...X0]=p.trim().split(this.languageRegex);if(X0.length===0)return super._encode_text(x0);if(X0.length===2){let[W0,h0]=X0;return this.supported_language_codes.includes(W0)||console.warn(`Unsupported language code "${W0}" detected, which may lead to unexpected behavior. 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j=(Z)=>bR(Z,this.shiftActive||this.pendingShift,this.ctrlActive||this.pendingCtrl,this.altActive||this.pendingAlt,this.fnActive||this.pendingFn),O=(Z,V)=>{if(V)V.preventDefault(),V.stopPropagation();if(!Z)return;this.sendStdin(j(Z)),$.value="",this.deactivateModifiers(),this.pendingCtrl=!1,this.pendingAlt=!1,this.pendingShift=!1,this.pendingFn=!1};$.addEventListener("beforeinput",(Z)=>{if(Z.inputType==="insertText"&&Z.data){O(Z.data,Z);return}let V=null;switch(Z.inputType){case"insertLineBreak":V="\r";break;case"deleteContentBackward":V="";break;case"deleteContentForward":V="\x1B[3~";break}if(V)O(V,Z)}),$.addEventListener("input",()=>{O($.value)}),$.addEventListener("keydown",(Z)=>{let V=Z.ctrlKey||this.ctrlActive,N=Z.shiftKey||this.shiftActive,J=Z.altKey||this.altActive,R=this.fnActive;if(V&&Z.key.length===1&&!Z.altKey&&!Z.metaKey){let H=OD(Z.key);if(H!==Z.key){Z.preventDefault(),Z.stopPropagation();let L=J?R7(H):H;this.sendStdin(L),this.deactivateModifiers();return}}if(R&&Z.key.length===1&&!Z.ctrlKey&&!Z.metaKey){let H=fR(Z.key,N);if(H){Z.preventDefault(),Z.stopPropagation(),this.sendStdin(H),this.deactivateModifiers();return}}let U=null;switch(Z.key){case"Escape":U="\x1B";break;case"ArrowUp":case"ArrowDown":case"ArrowRight":case"ArrowLeft":{let H=Z.key==="ArrowUp"?"A":Z.key==="ArrowDown"?"B":Z.key==="ArrowRight"?"C":"D";if(V&&N)U=`\x1B[1;6${H}`;else if(V)U=`\x1B[1;5${H}`;else if(N)U=`\x1B[1;2${H}`;else U=`\x1B[${H}`;break}case"Tab":if(N)U="\x1B[Z";else U="\t";Z.preventDefault();break}if(U)Z.preventDefault(),Z.stopPropagation(),this.sendStdin(J?R7(U):U),this.deactivateModifiers()}),this.addTrackedListener(document,"keydown",(Z)=>{if(!this.ctrlActive&&!this.shiftActive&&!this.altActive&&!this.fnActive)return;if(Z.target===this.mobileInput)return;let V=this.ctrlActive,N=this.shiftActive,J=this.altActive,R=this.fnActive,U=!1;if(Z.key.length===1&&!Z.altKey&&!Z.metaKey){let H=bR(Z.key,N,V,J,R);Z.preventDefault(),Z.stopPropagation(),this.sendStdin(H),U=!0}else{let H=null;switch(Z.key){case"Escape":H="\x1B";break;case"ArrowUp":case"ArrowDown":case"ArrowRight":case"ArrowLeft":{let L=Z.key==="ArrowUp"?"A":Z.key==="ArrowDown"?"B":Z.key==="ArrowRight"?"C":"D";if(V&&N)H=`\x1B[1;6${L}`;else if(V)H=`\x1B[1;5${L}`;else if(N)H=`\x1B[1;2${L}`;else H=`\x1B[${L}`;break}case"Tab":if(N)H="\x1B[Z";else H="\t";break}if(H)Z.preventDefault(),Z.stopPropagation(),this.sendStdin(J?R7(H):H),U=!0}if(U)this.deactivateModifiers()},{capture:!0});let G=()=>{this.mobileInput?.focus()};this.addTrackedListener(this.element,"touchend",G,{passive:!0}),this.addTrackedListener(this.element,"click",G)}setupTouchSelection(){let $=this.element.querySelector("canvas");if(!$)return;let j=300,O=10,G=1.5,Z="undecided",V=0,N=0,J=0,R=null,U=0,H=0,L=0,Y=null,S=(z,w)=>{let T=new MouseEvent(z,{bubbles:!0,cancelable:!0,clientX:w.clientX,clientY:w.clientY,button:0,buttons:z==="mouseup"?0:1});$.dispatchEvent(T)},X=()=>{if(R!==null)clearTimeout(R),R=null},D=()=>{if(Y!==null)cancelAnimationFrame(Y),Y=null;H=0},I=()=>{let z=$.getBoundingClientRect(),w=this.terminal.rows;return w>0?z.height/w:16},k=()=>{if(H*=0.92,Math.abs(H)<0.5){Y=null;return}let T=I();U+=H*G/T;let W=Math.trunc(U);if(W!==0)U-=W,this.terminal.scrollLines(W);Y=requestAnimationFrame(k)};this.addTrackedListener($,"touchstart",(z)=>{if(z.touches.length!==1)return;z.preventDefault(),D();let w=z.touches[0];V=w.clientX,N=w.clientY,J=w.clientY,L=performance.now(),H=0,U=0,Z="undecided",R=setTimeout(()=>{if(R=null,Z==="undecided")Z="select",S("mousedown",w)},j)},{passive:!1}),this.addTrackedListener($,"touchmove",(z)=>{if(z.touches.length!==1)return;z.preventDefault();let w=z.touches[0],T=performance.now();if(Z==="undecided"){let W=w.clientX-V,E=w.clientY-N;if(Math.abs(E)>O||Math.abs(W)>O)X(),Z="scroll";else return}if(Z==="scroll"){let W=J-w.clientY,E=T-L;if(E>0)H=W/E*16;J=w.clientY,L=T;let Q=I();U+=W*G/Q;let A=Math.trunc(U);if(A!==0)U-=A,this.terminal.scrollLines(A)}else if(Z==="select")S("mousemove",w)},{passive:!1}),this.addTrackedListener($,"touchend",(z)=>{let w=z.changedTouches[0];if(!w)return;if(z.preventDefault(),X(),Z==="select")S("mouseup",w);else if(Z==="scroll"){if(Math.abs(H)>0.5)Y=requestAnimationFrame(k)}Z="undecided"},{passive:!1})}setupVoiceInput(){if(this.voiceModelURL=this.element.dataset.moonshineModelUrl?.trim()||nI,window.getComputedStyle(this.element).position==="static")this.element.style.position="relative";let $=document.createElement("div");if($.className="webterm-voice-controls",$.innerHTML=` + + Ready + `,this.element.appendChild($),this.voiceControls=$,this.voiceButton=$.querySelector(".webterm-voice-button"),this.voiceStatus=$.querySelector(".webterm-voice-status"),!this.voiceButton||!this.voiceStatus)return;if(Object.assign($.style,{position:"absolute",top:"12px",right:"12px",zIndex:"4",display:"flex",alignItems:"center",gap:"8px",padding:"8px 10px",borderRadius:"999px",background:"rgba(9, 14, 19, 0.78)",backdropFilter:"blur(8px)",boxShadow:"0 8px 30px rgba(0, 0, 0, 0.28)",pointerEvents:"auto"}),Object.assign(this.voiceButton.style,{border:"1px solid rgba(255, 255, 255, 0.18)",borderRadius:"999px",background:"#12202b",color:"#f3f6fa",font:'600 12px "Fira Code", "FiraCode Nerd Font", monospace',padding:"7px 12px",cursor:"pointer"}),Object.assign(this.voiceStatus.style,{color:"#c9d5e0",font:'500 11px "Fira Code", "FiraCode Nerd Font", monospace',whiteSpace:"normal",lineHeight:"1.35",maxWidth:"44ch",overflowWrap:"anywhere"}),this.voiceButton.addEventListener("click",()=>{this.toggleVoiceInput()}),typeof navigator>"u"||!navigator.mediaDevices?.getUserMedia||typeof AudioContext>"u"){this.setVoiceState("unsupported","Voice unavailable");return}this.setVoiceState("idle","Ready")}async toggleVoiceInput(){if(this.isVoiceStarting)return;if(this.voiceTranscriber?.isActive){this.stopVoiceInput();return}this.isVoiceStarting=!0,this.armVoiceStartupErrorCapture(),this.setVoiceState("loading","Starting...");try{await this.getVoiceTranscriber().start(),this.setVoiceState("listening","Listening..."),this.focusTerminalInput()}catch($){console.error("[webterm] Failed to start Moonshine microphone transcriber:",$),this.setVoiceState("error",this.describeVoiceError($))}finally{this.isVoiceStarting=!1}}getVoiceTranscriber(){if(this.voiceTranscriber)return this.voiceTranscriber;return this.voiceTranscriber=new tv(this.voiceModelURL,{onPermissionsRequested:()=>{this.setVoiceState("loading","Allow microphone...")},onModelLoadStarted:()=>{this.setVoiceState("loading","Loading model...")},onModelLoaded:()=>{this.setVoiceState("loading","Model ready")},onTranscribeStarted:()=>{this.setVoiceState("listening","Listening...")},onTranscribeStopped:()=>{this.setVoiceState("idle","Ready")},onTranscriptionUpdated:($)=>{let j=$.trim();this.setVoiceState("listening",j?`Heard: ${j}`:"Listening...")},onTranscriptionCommitted:($)=>{let j=$.trim();if(!j)return;this.sendStdin(j),this.setVoiceState("listening",`Sent: ${j}`),this.focusTerminalInput()},onError:($)=>{console.error("[webterm] Moonshine error:",$);let j=this.describeVoiceError($);this.setVoiceState("error",j==="PlatformUnsupported"?"PlatformUnsupported. Waiting for underlying browser error...":j)}},!1),this.voiceTranscriber}stopVoiceInput(){if(this.clearVoiceStartupErrorCapture(),!this.voiceTranscriber){this.setVoiceState("idle","Ready");return}this.voiceTranscriber.stop(),this.stopVoiceTracks(),this.setVoiceState("idle","Ready"),this.focusTerminalInput()}stopVoiceTracks(){this.voiceTranscriber.mediaStream?.getTracks().forEach((j)=>{j.stop()})}describeVoiceError($){if(typeof $==="string"&&$.trim())return $.trim();if($ instanceof Error&&$.message.trim()){let j="cause"in $&&$.cause?` Cause: ${this.describeVoiceError($.cause)}`:"";return`${$.name}: ${$.message.trim()}${j}`}if(typeof $==="object"&&$!==null)try{return JSON.stringify($)}catch{return String($)}return"Voice error"}armVoiceStartupErrorCapture(){this.clearVoiceStartupErrorCapture();let $=Date.now(),j=15000,O=(N)=>{if(Date.now()-$>j)return;let J=this.describeVoiceError(N);if(!J||J==="PlatformUnsupported"||J==="Voice error")return;console.error("[webterm] Captured Moonshine startup failure:",N),this.setVoiceState("error",J)},G=(N)=>{O(N.reason)},Z=(N)=>{O(N.error??N.message)};window.addEventListener("unhandledrejection",G),window.addEventListener("error",Z);let V=window.setTimeout(()=>{this.clearVoiceStartupErrorCapture()},j);this.voiceStartupErrorCleanup=()=>{window.removeEventListener("unhandledrejection",G),window.removeEventListener("error",Z),clearTimeout(V),this.voiceStartupErrorCleanup=null}}clearVoiceStartupErrorCapture(){this.voiceStartupErrorCleanup?.()}setVoiceState($,j){if(!this.voiceButton||!this.voiceStatus)return;let O=j.length>tI?`${j.slice(0,tI-1)}…`:j,G=$==="error"?j:O;if(this.voiceStatus.textContent=G,this.voiceStatus.title=j,this.voiceButton.disabled=$==="loading"||$==="unsupported",this.voiceButton.textContent=$==="listening"?"Stop":"Voice",this.voiceButton.setAttribute("aria-pressed",$==="listening"?"true":"false"),this.voiceButton.title=$==="error"?j:$==="listening"?"Stop voice input":"Start voice input",$==="listening"){if(this.voiceButton.style.background="#7c1d1d",this.voiceButton.style.borderColor="rgba(255, 120, 120, 0.5)",this.voiceControls)this.voiceControls.style.background="rgba(45, 10, 10, 0.78)"}else if($==="error"){if(this.voiceButton.style.background="#3d2a12",this.voiceButton.style.borderColor="rgba(255, 187, 92, 0.55)",this.voiceControls)this.voiceControls.style.background="rgba(46, 29, 8, 0.82)"}else if(this.voiceButton.style.background="#12202b",this.voiceButton.style.borderColor="rgba(255, 255, 255, 0.18)",this.voiceControls)this.voiceControls.style.background="rgba(9, 14, 19, 0.78)"}focusTerminalInput(){if(FV())this.focusMobileInput();else this.terminal.focus()}keybarButtonHeight=44;setupMobileKeybar(){let $=document.createElement("div");$.className="mobile-keybar";let j=document.createElement("div");j.className="keybar-panel keybar-keys",j.innerHTML=` @@ -38,7 +8711,7 @@ For tests, pass a Ghostty instance directly: - `;let V=document.createElement("div");V.className="keybar-panel keybar-settings-panel",V.style.display="none",V.innerHTML=` + `;let O=document.createElement("div");O.className="keybar-panel keybar-settings-panel",O.style.display="none",O.innerHTML=` Bar @@ -46,7 +8719,7 @@ For tests, pass a Ghostty instance directly: Font - `,j.appendChild($),j.appendChild(V);let Z=document.createElement("style");Z.textContent=` + `,$.appendChild(j),$.appendChild(O);let G=document.createElement("style");G.textContent=` .mobile-keybar { flex-shrink: 0; background: rgba(40, 40, 40, 0.95); @@ -89,4 +8762,4 @@ For tests, pass a Ghostty instance directly: font-family: system-ui, sans-serif; padding: 0 4px; } - `,document.head.appendChild(Z),this.mobileKeybarStyle=Z,document.body.appendChild(j),this.mobileKeybar=j;let J=(K)=>{$.style.display=K==="keys"?"":"none",V.style.display=K==="settings"?"":"none"};$.querySelector(".keybar-settings").addEventListener("touchstart",(K)=>{K.preventDefault(),J("settings")}),V.querySelector(".keybar-back").addEventListener("touchstart",(K)=>{K.preventDefault(),J("keys")});let X=(K)=>{this.keybarButtonHeight=Math.max(28,Math.min(72,this.keybarButtonHeight+K)),j.querySelectorAll("button").forEach((z)=>{z.style.height=`${this.keybarButtonHeight}px`}),this.fit()};V.querySelector(".keybar-bar-shrink").addEventListener("touchstart",(K)=>{K.preventDefault(),X(-4)}),V.querySelector(".keybar-bar-grow").addEventListener("touchstart",(K)=>{K.preventDefault(),X(4)}),V.querySelector(".keybar-font-shrink").addEventListener("touchstart",(K)=>{K.preventDefault(),this.fontSize=Math.max(8,this.fontSize-1),this.terminal.options.fontSize=this.fontSize,this.fit()}),V.querySelector(".keybar-font-grow").addEventListener("touchstart",(K)=>{K.preventDefault(),this.fontSize=Math.max(8,this.fontSize+1),this.terminal.options.fontSize=this.fontSize,this.fit()}),$.querySelectorAll("button[data-key]").forEach((K)=>{K.addEventListener("touchstart",(z)=>{z.preventDefault();let O=K.dataset.key||"";O=O.replace(/\\x([0-9a-fA-F]{2})/g,(Y,T)=>String.fromCharCode(parseInt(T,16))),O=O.replace(/\\x1b/g,"\x1B");let W=this.shiftActive,R=this.ctrlActive,U=this.altActive,H=this.fnActive,L=W||this.pendingShift;if(W&&O==="\t")O="\x1B[Z";else if(R&&W&&O.startsWith("\x1B[")&&O.length===3)O=`\x1B[1;6${O[2]}`;else if(W&&O.startsWith("\x1B[")&&O.length===3)O=`\x1B[1;2${O[2]}`;else if(R&&O.startsWith("\x1B[")&&O.length===3)O=`\x1B[1;5${O[2]}`;if(H&&O.length===1){let Y=E(O,L);if(Y)O=Y}if(O.length===1)O=s(O,W,R,U,H);else if(U)O=f(O);this.sendStdin(O),this.deactivateModifiers()})}),$.querySelectorAll("button[data-modifier]").forEach((K)=>{K.addEventListener("touchstart",(z)=>{z.preventDefault();let O=K.dataset.modifier;if(O==="ctrl")this.ctrlActive=!this.ctrlActive,this.pendingCtrl=this.ctrlActive,K.classList.toggle("active",this.ctrlActive);else if(O==="alt")this.altActive=!this.altActive,this.pendingAlt=this.altActive,K.classList.toggle("active",this.altActive);else if(O==="shift")this.shiftActive=!this.shiftActive,this.pendingShift=this.shiftActive,K.classList.toggle("active",this.shiftActive);else if(O==="fn")this.fnActive=!this.fnActive,this.pendingFn=this.fnActive,K.classList.toggle("active",this.fnActive);this.focusMobileInput()})})}deactivateModifiers(){this.ctrlActive=!1,this.altActive=!1,this.shiftActive=!1,this.fnActive=!1,this.pendingCtrl=!1,this.pendingAlt=!1,this.pendingShift=!1,this.pendingFn=!1,this.mobileKeybar?.querySelectorAll("button[data-modifier]").forEach((j)=>{j.classList.remove("active")})}focusMobileInput(){this.mobileInput?.focus()}async waitForFonts(){if(!("fonts"in document))return;try{await document.fonts.ready}catch{}}fit(){let $=this.terminal.renderer,V,Z;if($?.getMetrics){let L=$.getMetrics();if(L&&L.width>0&&L.height>0)V=L.width,Z=L.height;else{let Y=this.measureCellSize();if(!Y){this.fitAddon.fit();return}V=Y.width,Z=Y.height}}else{let L=this.measureCellSize();if(!L){this.fitAddon.fit();return}V=L.width,Z=L.height}let J=window.getComputedStyle(this.element),X=parseInt(J.paddingTop)||0,K=parseInt(J.paddingBottom)||0,z=parseInt(J.paddingLeft)||0,O=parseInt(J.paddingRight)||0,W=this.element.clientWidth-z-O,R=this.element.clientHeight-X-K;if(W<=0||R<=0)return;let U=Math.max(2,Math.floor(W/V)),H=Math.max(1,Math.floor(R/Z));if(U!==this.terminal.cols||H!==this.terminal.rows)this.terminal.resize(U,H)}measureCellSize(){let j=document.createElement("span");j.style.visibility="hidden",j.style.position="absolute",j.style.fontFamily=this.fontFamily,j.style.fontSize=`${this.fontSize}px`,j.style.lineHeight="normal",j.textContent="W",document.body.appendChild(j);let{offsetWidth:$,offsetHeight:V}=j;if(document.body.removeChild(j),$>0&&V>0)return{width:$,height:V};return null}setupResizeObserver(){this.resizeObserver=new ResizeObserver(()=>{if(this.resizeDebounceTimer)clearTimeout(this.resizeDebounceTimer);this.resizeDebounceTimer=window.setTimeout(()=>{this.fit()},100)}),this.resizeObserver.observe(this.element)}resizeDebounceTimer;isValidSize(j,$){return j>=2&&j<=500&&$>=1&&$<=500}connect(){if(this.socket?.readyState===WebSocket.OPEN)return;let j=++this.socketGeneration;this.socket=new WebSocket(this.wsUrl),this.socket.binaryType="arraybuffer",this.socket.addEventListener("open",()=>{if(j!==this.socketGeneration)return;if(this.reconnectAttempts=0,!this.isTabHidden)this.startHeartbeatWatchdog();this.element.classList.add("-connected"),this.element.classList.remove("-disconnected"),this.flushStdin(),this.processMessageQueue();let $=this.terminal.cols,V=this.terminal.rows;if(this.isValidSize($,V))this.lastValidSize={cols:$,rows:V},this.send(["resize",{width:$,height:V}]);this.terminal.focus()}),this.socket.addEventListener("close",()=>{if(j!==this.socketGeneration)return;this.stopHeartbeatWatchdog(),this.element.classList.remove("-connected"),this.element.classList.add("-disconnected"),this.scheduleReconnect()}),this.socket.addEventListener("error",()=>{}),this.socket.addEventListener("message",($)=>{if(j!==this.socketGeneration)return;this.handleMessage($.data)})}handleTextMessage(j){try{let $=JSON.parse(j),[V,Z]=$;switch(V){case"stdout":if(this.isTabHidden)this.bufferWhileHidden(Z);else this.terminal.write(Z);break;case"pong":this.lastPongAt=Date.now();break;default:console.debug("Unknown message type:",V)}}catch{if(this.isTabHidden)this.bufferWhileHidden(j);else this.terminal.write(j)}}handleMessage(j){if(this.lastMessageAt=Date.now(),j instanceof ArrayBuffer){let $=new Uint8Array(j);if(this.isTabHidden)this.bufferWhileHidden($);else this.terminal.write($);return}if(j instanceof Blob){j.text().then(($)=>{this.lastMessageAt=Date.now(),this.handleTextMessage($)}).catch(()=>{});return}this.handleTextMessage(j)}startHeartbeatWatchdog(){this.stopHeartbeatWatchdog();let j=Date.now();this.lastMessageAt=j,this.lastPongAt=j,this.heartbeatTimer=window.setInterval(()=>{if(this.socket?.readyState!==WebSocket.OPEN)return;let $=Date.now(),V=Math.max(this.lastMessageAt,this.lastPongAt);if($-V>this.stallTimeoutMs){console.warn("WebSocket inbound stream stalled; reconnecting"),this.socket.close();return}this.send(["ping",String($)])},this.heartbeatIntervalMs)}stopHeartbeatWatchdog(){if(this.heartbeatTimer)clearInterval(this.heartbeatTimer),this.heartbeatTimer=void 0}startResourceCleanup(){this.cleanupTimer=window.setInterval(()=>{this.trimMessageQueue()},W0)}stopResourceCleanup(){if(this.cleanupTimer)clearInterval(this.cleanupTimer),this.cleanupTimer=void 0}trimMessageQueue(){if(this.messageQueue.length>k){let j=this.messageQueue.length-k;this.messageQueue=this.messageQueue.slice(-k),console.warn(`[webterm] Trimmed ${j} stale messages from queue`)}}bufferWhileHidden(j){let $=typeof j==="string"?c.sharedTextEncoder.encode(j):j;while(this.hiddenBufferBytes+$.byteLength>k0&&this.hiddenBuffer.length>0){let V=this.hiddenBuffer.shift();this.hiddenBufferBytes-=V.byteLength}this.hiddenBuffer.push($),this.hiddenBufferBytes+=$.byteLength}refreshConnection(){if(this.hiddenBuffer.length=0,this.hiddenBufferBytes=0,this.reconnectAttempts=0,this.stopHeartbeatWatchdog(),this.socket)this.socket.close(),this.socket=null;this.connect()}sendStdin(j){if(!j)return;if(this.pendingStdin+=j,this.pendingStdin.length>=w0){this.flushStdin();return}if(this.pendingStdinTimer)return;this.pendingStdinTimer=window.setTimeout(()=>{this.pendingStdinTimer=void 0,this.flushStdin()},p0)}flushStdin(){if(this.pendingStdinTimer)clearTimeout(this.pendingStdinTimer),this.pendingStdinTimer=void 0;if(!this.pendingStdin)return;let j=this.pendingStdin;this.pendingStdin="",this.send(["stdin",j])}send(j){if(j[0]!=="stdin"&&this.pendingStdin)this.flushStdin();if(this.messageQueue.length>=k)this.messageQueue=this.messageQueue.slice(-Math.floor(k/2)),console.warn("[webterm] Message queue overflow; trimmed old messages");this.messageQueue.push(j),this.processMessageQueue()}processMessageQueue(){if(this.socket?.readyState!==WebSocket.OPEN)return;while(this.messageQueue.length>0){let j=this.messageQueue.shift();try{if(j)this.socket.send(JSON.stringify(j))}catch($){if(console.error("Failed to send message:",$,j),j)this.messageQueue.unshift(j);break}}}scheduleReconnect(){if(this.reconnectAttempts>=this.maxReconnectAttempts){console.error("Max reconnection attempts reached");return}this.reconnectAttempts++;let j=this.reconnectDelay*Math.pow(2,this.reconnectAttempts-1);setTimeout(()=>{console.log(`[webterm] Reconnecting (attempt ${this.reconnectAttempts})...`),this.connect()},j)}dispose(){if(this.stopResourceCleanup(),this.stopHeartbeatWatchdog(),this.pendingStdinTimer)clearTimeout(this.pendingStdinTimer),this.pendingStdinTimer=void 0;if(this.pendingStdin="",this.resizeDebounceTimer)clearTimeout(this.resizeDebounceTimer),this.resizeDebounceTimer=void 0;this.socket?.close(),this.socket=null,this.messageQueue.length=0,this.hiddenBuffer.length=0,this.hiddenBufferBytes=0;for(let{target:j,type:$,handler:V,options:Z}of this.boundHandlers)j.removeEventListener($,V,Z);if(this.boundHandlers.length=0,this.resizeObserver)this.resizeObserver.disconnect(),this.resizeObserver=null;if(this.mobileInput)this.mobileInput.remove(),this.mobileInput=null;if(this.mobileKeybar)this.mobileKeybar.remove(),this.mobileKeybar=null;if(this.mobileKeybarStyle)this.mobileKeybarStyle.remove(),this.mobileKeybarStyle=null;this.fitAddon.dispose(),this.terminal.dispose()}setTheme(j){this.terminal.options.theme=j}static getTheme(j){return D[j.toLowerCase()]}}var i=new Map;setInterval(()=>{for(let[j,$]of i)if(!j.isConnected)$.dispose(),i.delete(j),console.log("[webterm] Cleaned up stale terminal instance")},W0);async function O0(){let j=document.querySelectorAll(".webterm-terminal");for(let $ of j){let V=$.dataset.sessionWebsocketUrl;if(!V){console.error("[webterm] Missing data-session-websocket-url on terminal container");continue}let Z=c0($);try{let J=await c.create($,V,Z);i.set($,J)}catch(J){console.error("[webterm] Failed to create terminal:",J)}}}if(document.readyState==="loading")document.addEventListener("DOMContentLoaded",()=>O0());else O0();export{i as instances,O0 as initTerminals,c as WebTerminal,D as THEMES}; + `,document.head.appendChild(G),this.mobileKeybarStyle=G,document.body.appendChild($),this.mobileKeybar=$;let Z=(N)=>{j.style.display=N==="keys"?"":"none",O.style.display=N==="settings"?"":"none"};j.querySelector(".keybar-settings").addEventListener("touchstart",(N)=>{N.preventDefault(),Z("settings")}),O.querySelector(".keybar-back").addEventListener("touchstart",(N)=>{N.preventDefault(),Z("keys")});let V=(N)=>{this.keybarButtonHeight=Math.max(28,Math.min(72,this.keybarButtonHeight+N)),$.querySelectorAll("button").forEach((J)=>{J.style.height=`${this.keybarButtonHeight}px`}),this.fit()};O.querySelector(".keybar-bar-shrink").addEventListener("touchstart",(N)=>{N.preventDefault(),V(-4)}),O.querySelector(".keybar-bar-grow").addEventListener("touchstart",(N)=>{N.preventDefault(),V(4)}),O.querySelector(".keybar-font-shrink").addEventListener("touchstart",(N)=>{N.preventDefault(),this.fontSize=Math.max(8,this.fontSize-1),this.terminal.options.fontSize=this.fontSize,this.fit()}),O.querySelector(".keybar-font-grow").addEventListener("touchstart",(N)=>{N.preventDefault(),this.fontSize=Math.max(8,this.fontSize+1),this.terminal.options.fontSize=this.fontSize,this.fit()}),j.querySelectorAll("button[data-key]").forEach((N)=>{N.addEventListener("touchstart",(J)=>{J.preventDefault();let R=N.dataset.key||"";R=R.replace(/\\x([0-9a-fA-F]{2})/g,(X,D)=>String.fromCharCode(parseInt(D,16))),R=R.replace(/\\x1b/g,"\x1B");let U=this.shiftActive,H=this.ctrlActive,L=this.altActive,Y=this.fnActive,S=U||this.pendingShift;if(U&&R==="\t")R="\x1B[Z";else if(H&&U&&R.startsWith("\x1B[")&&R.length===3)R=`\x1B[1;6${R[2]}`;else if(U&&R.startsWith("\x1B[")&&R.length===3)R=`\x1B[1;2${R[2]}`;else if(H&&R.startsWith("\x1B[")&&R.length===3)R=`\x1B[1;5${R[2]}`;if(Y&&R.length===1){let X=fR(R,S);if(X)R=X}if(R.length===1)R=bR(R,U,H,L,Y);else if(L)R=R7(R);this.sendStdin(R),this.deactivateModifiers()})}),j.querySelectorAll("button[data-modifier]").forEach((N)=>{N.addEventListener("touchstart",(J)=>{J.preventDefault();let R=N.dataset.modifier;if(R==="ctrl")this.ctrlActive=!this.ctrlActive,this.pendingCtrl=this.ctrlActive,N.classList.toggle("active",this.ctrlActive);else if(R==="alt")this.altActive=!this.altActive,this.pendingAlt=this.altActive,N.classList.toggle("active",this.altActive);else if(R==="shift")this.shiftActive=!this.shiftActive,this.pendingShift=this.shiftActive,N.classList.toggle("active",this.shiftActive);else if(R==="fn")this.fnActive=!this.fnActive,this.pendingFn=this.fnActive,N.classList.toggle("active",this.fnActive);this.focusMobileInput()})})}deactivateModifiers(){this.ctrlActive=!1,this.altActive=!1,this.shiftActive=!1,this.fnActive=!1,this.pendingCtrl=!1,this.pendingAlt=!1,this.pendingShift=!1,this.pendingFn=!1,this.mobileKeybar?.querySelectorAll("button[data-modifier]").forEach(($)=>{$.classList.remove("active")})}focusMobileInput(){this.mobileInput?.focus()}async waitForFonts(){if(!("fonts"in document))return;try{await document.fonts.ready}catch{}}fit(){let j=this.terminal.renderer,O,G;if(j?.getMetrics){let S=j.getMetrics();if(S&&S.width>0&&S.height>0)O=S.width,G=S.height;else{let X=this.measureCellSize();if(!X){this.fitAddon.fit();return}O=X.width,G=X.height}}else{let S=this.measureCellSize();if(!S){this.fitAddon.fit();return}O=S.width,G=S.height}let Z=window.getComputedStyle(this.element),V=parseInt(Z.paddingTop)||0,N=parseInt(Z.paddingBottom)||0,J=parseInt(Z.paddingLeft)||0,R=parseInt(Z.paddingRight)||0,U=this.element.clientWidth-J-R,H=this.element.clientHeight-V-N;if(U<=0||H<=0)return;let L=Math.max(2,Math.floor(U/O)),Y=Math.max(1,Math.floor(H/G));if(L!==this.terminal.cols||Y!==this.terminal.rows)this.terminal.resize(L,Y)}measureCellSize(){let $=document.createElement("span");$.style.visibility="hidden",$.style.position="absolute",$.style.fontFamily=this.fontFamily,$.style.fontSize=`${this.fontSize}px`,$.style.lineHeight="normal",$.textContent="W",document.body.appendChild($);let{offsetWidth:j,offsetHeight:O}=$;if(document.body.removeChild($),j>0&&O>0)return{width:j,height:O};return null}setupResizeObserver(){this.resizeObserver=new ResizeObserver(()=>{if(this.resizeDebounceTimer)clearTimeout(this.resizeDebounceTimer);this.resizeDebounceTimer=window.setTimeout(()=>{this.fit()},100)}),this.resizeObserver.observe(this.element)}resizeDebounceTimer;isValidSize($,j){return $>=2&&$<=500&&j>=1&&j<=500}connect(){if(this.socket?.readyState===WebSocket.OPEN)return;let $=++this.socketGeneration;this.socket=new WebSocket(this.wsUrl),this.socket.binaryType="arraybuffer",this.socket.addEventListener("open",()=>{if($!==this.socketGeneration)return;if(this.reconnectAttempts=0,!this.isTabHidden)this.startHeartbeatWatchdog();this.element.classList.add("-connected"),this.element.classList.remove("-disconnected"),this.flushStdin(),this.processMessageQueue();let j=this.terminal.cols,O=this.terminal.rows;if(this.isValidSize(j,O))this.lastValidSize={cols:j,rows:O},this.send(["resize",{width:j,height:O}]);this.terminal.focus()}),this.socket.addEventListener("close",()=>{if($!==this.socketGeneration)return;this.stopHeartbeatWatchdog(),this.element.classList.remove("-connected"),this.element.classList.add("-disconnected"),this.scheduleReconnect()}),this.socket.addEventListener("error",()=>{}),this.socket.addEventListener("message",(j)=>{if($!==this.socketGeneration)return;this.handleMessage(j.data)})}handleTextMessage($){try{let j=JSON.parse($),[O,G]=j;switch(O){case"stdout":if(this.isTabHidden)this.bufferWhileHidden(G);else this.terminal.write(G);break;case"pong":this.lastPongAt=Date.now();break;default:console.debug("Unknown message type:",O)}}catch{if(this.isTabHidden)this.bufferWhileHidden($);else this.terminal.write($)}}handleMessage($){if(this.lastMessageAt=Date.now(),$ instanceof ArrayBuffer){let j=new Uint8Array($);if(this.isTabHidden)this.bufferWhileHidden(j);else this.terminal.write(j);return}if($ instanceof Blob){$.text().then((j)=>{this.lastMessageAt=Date.now(),this.handleTextMessage(j)}).catch(()=>{});return}this.handleTextMessage($)}startHeartbeatWatchdog(){this.stopHeartbeatWatchdog();let $=Date.now();this.lastMessageAt=$,this.lastPongAt=$,this.heartbeatTimer=window.setInterval(()=>{if(this.socket?.readyState!==WebSocket.OPEN)return;let j=Date.now(),O=Math.max(this.lastMessageAt,this.lastPongAt);if(j-O>this.stallTimeoutMs){console.warn("WebSocket inbound stream stalled; reconnecting"),this.socket.close();return}this.send(["ping",String(j)])},this.heartbeatIntervalMs)}stopHeartbeatWatchdog(){if(this.heartbeatTimer)clearInterval(this.heartbeatTimer),this.heartbeatTimer=void 0}startResourceCleanup(){this.cleanupTimer=window.setInterval(()=>{this.trimMessageQueue()},$D)}stopResourceCleanup(){if(this.cleanupTimer)clearInterval(this.cleanupTimer),this.cleanupTimer=void 0}trimMessageQueue(){if(this.messageQueue.length>dZ){let $=this.messageQueue.length-dZ;this.messageQueue=this.messageQueue.slice(-dZ),console.warn(`[webterm] Trimmed ${$} stale messages from queue`)}}bufferWhileHidden($){let j=typeof $==="string"?zV.sharedTextEncoder.encode($):$;while(this.hiddenBufferBytes+j.byteLength>kK&&this.hiddenBuffer.length>0){let O=this.hiddenBuffer.shift();this.hiddenBufferBytes-=O.byteLength}this.hiddenBuffer.push(j),this.hiddenBufferBytes+=j.byteLength}refreshConnection(){if(this.hiddenBuffer.length=0,this.hiddenBufferBytes=0,this.reconnectAttempts=0,this.stopHeartbeatWatchdog(),this.socket)this.socket.close(),this.socket=null;this.connect()}sendStdin($){if(!$)return;if(this.pendingStdin+=$,this.pendingStdin.length>=DK){this.flushStdin();return}if(this.pendingStdinTimer)return;this.pendingStdinTimer=window.setTimeout(()=>{this.pendingStdinTimer=void 0,this.flushStdin()},IK)}flushStdin(){if(this.pendingStdinTimer)clearTimeout(this.pendingStdinTimer),this.pendingStdinTimer=void 0;if(!this.pendingStdin)return;let $=this.pendingStdin;this.pendingStdin="",this.send(["stdin",$])}send($){if($[0]!=="stdin"&&this.pendingStdin)this.flushStdin();if(this.messageQueue.length>=dZ)this.messageQueue=this.messageQueue.slice(-Math.floor(dZ/2)),console.warn("[webterm] Message queue overflow; trimmed old messages");this.messageQueue.push($),this.processMessageQueue()}processMessageQueue(){if(this.socket?.readyState!==WebSocket.OPEN)return;while(this.messageQueue.length>0){let $=this.messageQueue.shift();try{if($)this.socket.send(JSON.stringify($))}catch(j){if(console.error("Failed to send message:",j,$),$)this.messageQueue.unshift($);break}}}scheduleReconnect(){if(this.reconnectAttempts>=this.maxReconnectAttempts){console.error("Max reconnection attempts reached");return}this.reconnectAttempts++;let $=this.reconnectDelay*Math.pow(2,this.reconnectAttempts-1);setTimeout(()=>{console.log(`[webterm] Reconnecting (attempt ${this.reconnectAttempts})...`),this.connect()},$)}dispose(){if(this.stopVoiceInput(),this.stopResourceCleanup(),this.stopHeartbeatWatchdog(),this.pendingStdinTimer)clearTimeout(this.pendingStdinTimer),this.pendingStdinTimer=void 0;if(this.pendingStdin="",this.resizeDebounceTimer)clearTimeout(this.resizeDebounceTimer),this.resizeDebounceTimer=void 0;this.socket?.close(),this.socket=null,this.messageQueue.length=0,this.hiddenBuffer.length=0,this.hiddenBufferBytes=0;for(let{target:$,type:j,handler:O,options:G}of this.boundHandlers)$.removeEventListener(j,O,G);if(this.boundHandlers.length=0,this.resizeObserver)this.resizeObserver.disconnect(),this.resizeObserver=null;if(this.mobileInput)this.mobileInput.remove(),this.mobileInput=null;if(this.mobileKeybar)this.mobileKeybar.remove(),this.mobileKeybar=null;if(this.mobileKeybarStyle)this.mobileKeybarStyle.remove(),this.mobileKeybarStyle=null;if(this.voiceControls)this.voiceControls.remove(),this.voiceControls=null;this.voiceButton=null,this.voiceStatus=null,this.voiceTranscriber=null,this.fitAddon.dispose(),this.terminal.dispose()}setTheme($){this.terminal.options.theme=$}static getTheme($){return yV[$.toLowerCase()]}}var wR=new Map;setInterval(()=>{for(let[$,j]of wR)if(!$.isConnected)j.dispose(),wR.delete($),console.log("[webterm] Cleaned up stale terminal instance")},$D);async function eI(){let $=document.querySelectorAll(".webterm-terminal");for(let j of $){let O=j.dataset.sessionWebsocketUrl;if(!O){console.error("[webterm] Missing data-session-websocket-url on terminal container");continue}let G=MK(j);try{let Z=await zV.create(j,O,G);wR.set(j,Z)}catch(Z){console.error("[webterm] Failed to create terminal:",Z)}}}if(document.readyState==="loading")document.addEventListener("DOMContentLoaded",()=>eI());else eI();export{wR as instances,eI as initTerminals,zV as WebTerminal,yV as THEMES}; diff --git a/webterm/static/js/terminal.ts b/webterm/static/js/terminal.ts index b26c52c..607136f 100644 --- a/webterm/static/js/terminal.ts +++ b/webterm/static/js/terminal.ts @@ -7,6 +7,7 @@ */ import { Terminal, FitAddon, Ghostty, type ITerminalOptions, type ITheme } from "ghostty-web"; +import * as Moonshine from "@moonshine-ai/moonshine-js"; /** Maximum queued messages before oldest are dropped */ const MAX_MESSAGE_QUEUE_SIZE = 1000; @@ -21,6 +22,8 @@ const STDIN_BATCH_DELAY_MS = 10; const STDIN_BATCH_MAX_CHARS = 8192; const BELL_EMOJI = "🔔"; +const DEFAULT_MOONSHINE_MODEL_URL = "model/medium-streaming-en"; +const VOICE_STATUS_MAX_LENGTH = 48; /** Shared Ghostty WASM instance (loaded once, reused across all terminals) */ let sharedGhostty: Ghostty | null = null; @@ -697,6 +700,13 @@ class WebTerminal { private baseTitle: string; private bellActive = false; private routeKey: string; + private voiceControls: HTMLElement | null = null; + private voiceButton: HTMLButtonElement | null = null; + private voiceStatus: HTMLElement | null = null; + private voiceTranscriber: Moonshine.MicrophoneTranscriber | null = null; + private voiceModelURL = DEFAULT_MOONSHINE_MODEL_URL; + private isVoiceStarting = false; + private voiceStartupErrorCleanup: (() => void) | null = null; private static sharedTextEncoder = new TextEncoder(); private constructor( @@ -873,6 +883,7 @@ class WebTerminal { // Setup mobile keyboard support this.setupMobileKeyboard(); this.setupTouchSelection(); + this.setupVoiceInput(); // Setup mobile extended keybar (only on mobile devices) if (isMobileDevice()) { @@ -1338,6 +1349,304 @@ class WebTerminal { ); } + private setupVoiceInput(): void { + this.voiceModelURL = + this.element.dataset.moonshineModelUrl?.trim() || DEFAULT_MOONSHINE_MODEL_URL; + + if (window.getComputedStyle(this.element).position === "static") { + this.element.style.position = "relative"; + } + + const controls = document.createElement("div"); + controls.className = "webterm-voice-controls"; + controls.innerHTML = ` + + Ready + `; + this.element.appendChild(controls); + this.voiceControls = controls; + this.voiceButton = controls.querySelector(".webterm-voice-button"); + this.voiceStatus = controls.querySelector(".webterm-voice-status"); + + if (!this.voiceButton || !this.voiceStatus) { + return; + } + + Object.assign(controls.style, { + position: "absolute", + top: "12px", + right: "12px", + zIndex: "4", + display: "flex", + alignItems: "center", + gap: "8px", + padding: "8px 10px", + borderRadius: "999px", + background: "rgba(9, 14, 19, 0.78)", + backdropFilter: "blur(8px)", + boxShadow: "0 8px 30px rgba(0, 0, 0, 0.28)", + pointerEvents: "auto", + } satisfies Partial); + + Object.assign(this.voiceButton.style, { + border: "1px solid rgba(255, 255, 255, 0.18)", + borderRadius: "999px", + background: "#12202b", + color: "#f3f6fa", + font: '600 12px "Fira Code", "FiraCode Nerd Font", monospace', + padding: "7px 12px", + cursor: "pointer", + } satisfies Partial); + + Object.assign(this.voiceStatus.style, { + color: "#c9d5e0", + font: '500 11px "Fira Code", "FiraCode Nerd Font", monospace', + whiteSpace: "normal", + lineHeight: "1.35", + maxWidth: "44ch", + overflowWrap: "anywhere", + } satisfies Partial); + + this.voiceButton.addEventListener("click", () => { + void this.toggleVoiceInput(); + }); + if ( + typeof navigator === "undefined" || + !navigator.mediaDevices?.getUserMedia || + typeof AudioContext === "undefined" + ) { + this.setVoiceState("unsupported", "Voice unavailable"); + return; + } + + this.setVoiceState("idle", "Ready"); + } + + private async toggleVoiceInput(): Promise { + if (this.isVoiceStarting) { + return; + } + if (this.voiceTranscriber?.isActive) { + this.stopVoiceInput(); + return; + } + + this.isVoiceStarting = true; + this.armVoiceStartupErrorCapture(); + this.setVoiceState("loading", "Starting..."); + + try { + const transcriber = this.getVoiceTranscriber(); + await transcriber.start(); + this.setVoiceState("listening", "Listening..."); + this.focusTerminalInput(); + } catch (error) { + console.error("[webterm] Failed to start Moonshine microphone transcriber:", error); + this.setVoiceState("error", this.describeVoiceError(error)); + } finally { + this.isVoiceStarting = false; + } + } + + private getVoiceTranscriber(): Moonshine.MicrophoneTranscriber { + if (this.voiceTranscriber) { + return this.voiceTranscriber; + } + + this.voiceTranscriber = new Moonshine.MicrophoneTranscriber( + this.voiceModelURL, + { + onPermissionsRequested: () => { + this.setVoiceState("loading", "Allow microphone..."); + }, + onModelLoadStarted: () => { + this.setVoiceState("loading", "Loading model..."); + }, + onModelLoaded: () => { + this.setVoiceState("loading", "Model ready"); + }, + onTranscribeStarted: () => { + this.setVoiceState("listening", "Listening..."); + }, + onTranscribeStopped: () => { + this.setVoiceState("idle", "Ready"); + }, + onTranscriptionUpdated: (text: string) => { + const preview = text.trim(); + this.setVoiceState("listening", preview ? `Heard: ${preview}` : "Listening..."); + }, + onTranscriptionCommitted: (text: string) => { + const transcript = text.trim(); + if (!transcript) { + return; + } + this.sendStdin(transcript); + this.setVoiceState("listening", `Sent: ${transcript}`); + this.focusTerminalInput(); + }, + onError: (error: unknown) => { + console.error("[webterm] Moonshine error:", error); + const message = this.describeVoiceError(error); + this.setVoiceState( + "error", + message === "PlatformUnsupported" + ? "PlatformUnsupported. Waiting for underlying browser error..." + : message + ); + }, + }, + false + ); + + return this.voiceTranscriber; + } + + private stopVoiceInput(): void { + this.clearVoiceStartupErrorCapture(); + if (!this.voiceTranscriber) { + this.setVoiceState("idle", "Ready"); + return; + } + this.voiceTranscriber.stop(); + this.stopVoiceTracks(); + this.setVoiceState("idle", "Ready"); + this.focusTerminalInput(); + } + + private stopVoiceTracks(): void { + const maybeStream = this.voiceTranscriber as unknown as { mediaStream?: MediaStream }; + maybeStream.mediaStream?.getTracks().forEach((track) => { + track.stop(); + }); + } + + private describeVoiceError(error: unknown): string { + if (typeof error === "string" && error.trim()) { + return error.trim(); + } + if (error instanceof Error && error.message.trim()) { + const cause = + "cause" in error && error.cause + ? ` Cause: ${this.describeVoiceError(error.cause)}` + : ""; + return `${error.name}: ${error.message.trim()}${cause}`; + } + if (typeof error === "object" && error !== null) { + try { + return JSON.stringify(error); + } catch { + return String(error); + } + } + return "Voice error"; + } + + private armVoiceStartupErrorCapture(): void { + this.clearVoiceStartupErrorCapture(); + + const startedAt = Date.now(); + const captureWindowMs = 15_000; + + const handleFailure = (error: unknown): void => { + if (Date.now() - startedAt > captureWindowMs) { + return; + } + const message = this.describeVoiceError(error); + if ( + !message || + message === "PlatformUnsupported" || + message === "Voice error" + ) { + return; + } + console.error("[webterm] Captured Moonshine startup failure:", error); + this.setVoiceState("error", message); + }; + + const rejectionHandler = (event: PromiseRejectionEvent) => { + handleFailure(event.reason); + }; + const errorHandler = (event: ErrorEvent) => { + handleFailure(event.error ?? event.message); + }; + + window.addEventListener("unhandledrejection", rejectionHandler); + window.addEventListener("error", errorHandler); + + const timeoutId = window.setTimeout(() => { + this.clearVoiceStartupErrorCapture(); + }, captureWindowMs); + + this.voiceStartupErrorCleanup = () => { + window.removeEventListener("unhandledrejection", rejectionHandler); + window.removeEventListener("error", errorHandler); + clearTimeout(timeoutId); + this.voiceStartupErrorCleanup = null; + }; + } + + private clearVoiceStartupErrorCapture(): void { + this.voiceStartupErrorCleanup?.(); + } + + private setVoiceState( + state: "idle" | "loading" | "listening" | "error" | "unsupported", + message: string + ): void { + if (!this.voiceButton || !this.voiceStatus) { + return; + } + + const clippedMessage = + message.length > VOICE_STATUS_MAX_LENGTH + ? `${message.slice(0, VOICE_STATUS_MAX_LENGTH - 1)}…` + : message; + + const displayMessage = state === "error" ? message : clippedMessage; + + this.voiceStatus.textContent = displayMessage; + this.voiceStatus.title = message; + this.voiceButton.disabled = state === "loading" || state === "unsupported"; + this.voiceButton.textContent = state === "listening" ? "Stop" : "Voice"; + this.voiceButton.setAttribute("aria-pressed", state === "listening" ? "true" : "false"); + this.voiceButton.title = + state === "error" + ? message + : state === "listening" + ? "Stop voice input" + : "Start voice input"; + + if (state === "listening") { + this.voiceButton.style.background = "#7c1d1d"; + this.voiceButton.style.borderColor = "rgba(255, 120, 120, 0.5)"; + if (this.voiceControls) { + this.voiceControls.style.background = "rgba(45, 10, 10, 0.78)"; + } + } else if (state === "error") { + this.voiceButton.style.background = "#3d2a12"; + this.voiceButton.style.borderColor = "rgba(255, 187, 92, 0.55)"; + if (this.voiceControls) { + this.voiceControls.style.background = "rgba(46, 29, 8, 0.82)"; + } + } else { + this.voiceButton.style.background = "#12202b"; + this.voiceButton.style.borderColor = "rgba(255, 255, 255, 0.18)"; + if (this.voiceControls) { + this.voiceControls.style.background = "rgba(9, 14, 19, 0.78)"; + } + } + } + + private focusTerminalInput(): void { + if (isMobileDevice()) { + this.focusMobileInput(); + } else { + this.terminal.focus(); + } + } + private keybarButtonHeight = 44; /** Setup bottom-docked mobile extended keyboard bar */ @@ -1971,6 +2280,7 @@ class WebTerminal { /** Clean up resources */ dispose(): void { + this.stopVoiceInput(); this.stopResourceCleanup(); this.stopHeartbeatWatchdog(); if (this.pendingStdinTimer) { @@ -2009,6 +2319,13 @@ class WebTerminal { this.mobileKeybarStyle.remove(); this.mobileKeybarStyle = null; } + if (this.voiceControls) { + this.voiceControls.remove(); + this.voiceControls = null; + } + this.voiceButton = null; + this.voiceStatus = null; + this.voiceTranscriber = null; this.fitAddon.dispose(); this.terminal.dispose(); }