WebNN support initial

This commit is contained in:
Lucas Winther
2026-07-10 11:18:03 +02:00
parent 71cb61cd90
commit db7b8a22c4
5 changed files with 41 additions and 17 deletions
+5 -3
View File
@@ -444,9 +444,11 @@ export function App() {
Model: <code>{modelId}</code> · Engine:{" "}
{activeDevice === "webgpu"
? "WebGPU (on-device)"
: activeDevice === "wasm"
? "WASM (on-device)"
: "on-device — backend selected on first load"}
: activeDevice === "webnn"
? "WebNN (on-device)"
: activeDevice === "wasm"
? "WASM (on-device)"
: "on-device — backend selected on first load"}
</p>
</footer>
</main>
+7 -1
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@@ -24,6 +24,7 @@ interface ModelPickerProps {
const DEVICE_OPTIONS: readonly { value: DevicePreference; label: string }[] = [
{ value: "auto", label: "Auto (WebGPU if available)" },
{ value: "webgpu", label: "WebGPU" },
{ value: "webnn", label: "WebNN" },
{ value: "wasm", label: "WASM (CPU)" },
];
@@ -47,7 +48,12 @@ export function ModelPicker({
// the device. Until the worker has reported one, assume WASM unless the
// user explicitly asked for WebGPU.
const estimateDevice: InferenceDevice =
activeDevice ?? (devicePreference === "webgpu" ? "webgpu" : "wasm");
activeDevice ??
(devicePreference === "webgpu"
? "webgpu"
: devicePreference === "webnn"
? "webnn"
: "wasm");
const groups: { title: string; items: WhisperModel[] }[] = [
{
+15 -8
View File
@@ -122,6 +122,12 @@ const WEBGPU_FP16_Q4: DtypeDefault = {
note: "fp16 encoder + q4 merged decoder — the common working WebGPU setup.",
};
const WEBNN_FP16: DtypeDefault = {
dtype: "fp16",
verified: false,
note: "fp16 is commonly used with WebNN.",
};
// ---------------------------------------------------------------------------
// The catalog (D-006: curated, not exhaustive)
// ---------------------------------------------------------------------------
@@ -138,6 +144,7 @@ export const MODELS: readonly WhisperModel[] = [
// Verified in-browser during M1 (WASM, Transformers.js default q8).
wasm: { ...WASM_Q8, verified: true },
webgpu: WEBGPU_FP32,
webnn: WEBNN_FP16,
},
},
{
@@ -147,7 +154,7 @@ export const MODELS: readonly WhisperModel[] = [
multilingual: true,
encoderParamsM: 8,
decoderParamsM: 31,
defaults: { wasm: WASM_Q8, webgpu: WEBGPU_FP32 },
defaults: { wasm: WASM_Q8, webgpu: WEBGPU_FP32, webnn: WEBNN_FP16 },
},
{
id: "onnx-community/whisper-base.en",
@@ -156,7 +163,7 @@ export const MODELS: readonly WhisperModel[] = [
multilingual: false,
encoderParamsM: 20,
decoderParamsM: 54,
defaults: { wasm: WASM_Q8, webgpu: WEBGPU_FP32 },
defaults: { wasm: WASM_Q8, webgpu: WEBGPU_FP32, webnn: WEBNN_FP16 },
},
{
id: "onnx-community/whisper-base",
@@ -165,7 +172,7 @@ export const MODELS: readonly WhisperModel[] = [
multilingual: true,
encoderParamsM: 20,
decoderParamsM: 54,
defaults: { wasm: WASM_Q8, webgpu: WEBGPU_FP32 },
defaults: { wasm: WASM_Q8, webgpu: WEBGPU_FP32, webnn: WEBNN_FP16 },
},
{
id: "onnx-community/whisper-small.en",
@@ -174,7 +181,7 @@ export const MODELS: readonly WhisperModel[] = [
multilingual: false,
encoderParamsM: 88,
decoderParamsM: 156,
defaults: { wasm: WASM_Q8, webgpu: WEBGPU_FP16_Q4 },
defaults: { wasm: WASM_Q8, webgpu: WEBGPU_FP16_Q4, webnn: WEBNN_FP16 },
},
{
id: "onnx-community/whisper-small",
@@ -183,7 +190,7 @@ export const MODELS: readonly WhisperModel[] = [
multilingual: true,
encoderParamsM: 88,
decoderParamsM: 156,
defaults: { wasm: WASM_Q8, webgpu: WEBGPU_FP16_Q4 },
defaults: { wasm: WASM_Q8, webgpu: WEBGPU_FP16_Q4, webnn: WEBNN_FP16 },
},
{
id: "onnx-community/whisper-medium.en",
@@ -192,7 +199,7 @@ export const MODELS: readonly WhisperModel[] = [
multilingual: false,
encoderParamsM: 306,
decoderParamsM: 463,
defaults: { wasm: WASM_Q4, webgpu: WEBGPU_FP16_Q4 },
defaults: { wasm: WASM_Q4, webgpu: WEBGPU_FP16_Q4, webnn: WEBNN_FP16 },
},
{
id: "onnx-community/whisper-medium",
@@ -201,7 +208,7 @@ export const MODELS: readonly WhisperModel[] = [
multilingual: true,
encoderParamsM: 306,
decoderParamsM: 463,
defaults: { wasm: WASM_Q4, webgpu: WEBGPU_FP16_Q4 },
defaults: { wasm: WASM_Q4, webgpu: WEBGPU_FP16_Q4, webnn: WEBNN_FP16 },
},
{
id: "onnx-community/whisper-large-v3-turbo",
@@ -210,7 +217,7 @@ export const MODELS: readonly WhisperModel[] = [
multilingual: true,
encoderParamsM: 635,
decoderParamsM: 174,
defaults: { wasm: WASM_Q4, webgpu: WEBGPU_FP16_Q4 },
defaults: { wasm: WASM_Q4, webgpu: WEBGPU_FP16_Q4, webnn: WEBNN_FP16 },
},
];
+12 -3
View File
@@ -86,14 +86,22 @@ function forwardProgress(info: ProgressInfo): void {
// Device selection (D-004): WebGPU when available, automatic WASM fallback
// ---------------------------------------------------------------------------
interface NavigatorWithGpu {
interface NavigatorWithHardware {
gpu?: { requestAdapter(): Promise<unknown | null> };
ml?: unknown;
}
async function detectDevice(preference: DevicePreference): Promise<InferenceDevice> {
if (preference === "wasm") return "wasm";
if (preference === "webnn") {
try {
return (navigator as NavigatorWithHardware).ml ? "webnn" : "wasm";
} catch {
return "wasm";
}
}
try {
const adapter = await (navigator as NavigatorWithGpu).gpu?.requestAdapter();
const adapter = await (navigator as NavigatorWithHardware).gpu?.requestAdapter();
return adapter ? "webgpu" : "wasm";
} catch {
return "wasm";
@@ -127,7 +135,8 @@ async function createPipeline(
// If WebGPU was selected but pipeline creation throws (driver quirks,
// unsupported ops, out-of-memory), fall back to WASM automatically (D-004).
const attempts: InferenceDevice[] =
detected === "webgpu" ? ["webgpu", "wasm"] : ["wasm"];
detected === "webgpu" ? ["webgpu", "wasm"] :
detected === "webnn" ? ["webnn", "wasm"] : ["wasm"];
let lastError: unknown;
for (const device of attempts) {
+2 -2
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@@ -7,7 +7,7 @@
*/
/** Devices the worker can actually run on (D-004). */
export type InferenceDevice = "webgpu" | "wasm";
export type InferenceDevice = "webgpu" | "wasm" | "webnn";
/**
* What the UI may request. "auto" (the default) lets the worker probe
@@ -147,7 +147,7 @@ function isOptionalString(value: unknown): value is string | undefined {
return value === undefined || typeof value === "string";
}
const DEVICES: readonly string[] = ["webgpu", "wasm"];
const DEVICES: readonly string[] = ["webgpu", "wasm", "webnn"];
const DTYPES: readonly string[] = ["fp32", "fp16", "q8", "q4"];
export function isInferenceDevice(value: unknown): value is InferenceDevice {