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Support iobinding for Whisper Base demo on WebNN GPU #67

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Support iobinding for Whisper Base demo on WebNN GPU #67

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b08de6f
Support iobinding for Whisper Base demo
miaobin Nov 28, 2024
820fdcd
Optimized the code
miaobin Dec 5, 2024
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24 changes: 15 additions & 9 deletions demos/whisper-base/main.js
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Original file line number Diff line number Diff line change
Expand Up @@ -88,6 +88,7 @@ const SpeechStates = {
let speechState = SpeechStates.UNINITIALIZED;

let mask4d = true; // use 4D mask input for decoder models
let ioBinding = true;
let streamingNode = null;
let sourceNode = null;
let audioChunks = []; // member {isSubChunk: boolean, data: Float32Array}
Expand Down Expand Up @@ -137,29 +138,34 @@ function updateConfig() {
let vars = query.split("&");
for (let i = 0; i < vars.length; i++) {
let pair = vars[i].split("=");
const key = pair[0].toLowerCase();
const value = pair[1].toLowerCase();
if (pair[0] == "provider" && providers.includes(pair[1])) {
provider = pair[1];
}
if (pair[0].toLowerCase() == "devicetype" && deviceTypes.includes(pair[1])) {
if (key == "devicetype" && deviceTypes.includes(pair[1])) {
deviceType = pair[1];
}
if (pair[0].toLowerCase() == "datatype" && dataTypes.includes(pair[1])) {
if (key == "datatype" && dataTypes.includes(pair[1])) {
dataType = pair[1];
}
if (pair[0].toLowerCase() == "maxchunklength") {
if (key == "maxchunklength") {
maxChunkLength = parseFloat(pair[1]);
}
if (pair[0].toLowerCase() == "chunklength") {
if (key == "chunklength") {
chunkLength = parseFloat(pair[1]);
}
if (pair[0].toLowerCase() == "maxaudiolength") {
if (key == "maxaudiolength") {
maxAudioLength = Math.min(parseInt(pair[1]), kMaxAudioLengthInSec);
}
if (pair[0].toLowerCase() == "accumulatesubchunks") {
accumulateSubChunks = pair[1].toLowerCase() === "true";
if (key == "accumulatesubchunks") {
accumulateSubChunks = value === "true";
}
if (pair[0] == "mask_4d") {
mask4d = pair[1].toLowerCase() === "true";
mask4d = value === "true";
}
if (pair[0] == 'ioBinding') {
ioBinding = value === 'true';
}
}
}
Expand Down Expand Up @@ -664,7 +670,7 @@ const main = async () => {
const whisper_url = location.href.includes("github.io")
? "https://huggingface.co/microsoft/whisper-base-webnn/resolve/main/"
: "./models/";
whisper = new Whisper(whisper_url, provider, deviceType, dataType, mask4d);
whisper = new Whisper(whisper_url, provider, deviceType, dataType, mask4d, ioBinding);
await whisper.create_whisper_processor();
await whisper.create_whisper_tokenizer();
await whisper.create_ort_sessions();
Expand Down
99 changes: 76 additions & 23 deletions demos/whisper-base/whisper.js
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Original file line number Diff line number Diff line change
Expand Up @@ -40,12 +40,13 @@ if (

// wrapper around onnxruntime and model
export class Whisper {
constructor(url, provider, deviceType = "gpu", dataType, mask_4d = true) {
constructor(url, provider, deviceType = "gpu", dataType, mask_4d = true, ioBinding) {
this.url = url;
this.provider = provider;
this.deviceType = deviceType;
this.dataType = dataType;
this.mask_4d = mask_4d;
this.ioBinding = ioBinding && deviceType == 'gpu';
ort.env.wasm.simd = true;

this.models = {
Expand Down Expand Up @@ -101,6 +102,19 @@ export class Whisper {
deviceType: this.deviceType,
},
],
preferredOutputLocation: this.ioBinding ? (() => {
let pairs = {};
pairs['last_hidden_state'] = "ml-tensor";
for (let i = 0; i < 6; i++) {
pairs[`padded_present_key_values.${i}.decoder.key`] = "ml-tensor";
pairs[`padded_present_key_values.${i}.decoder.value`] = "ml-tensor";
pairs[`present_key_values.${i}.encoder.key`] = "ml-tensor";
pairs[`present_key_values.${i}.encoder.value`] = "ml-tensor";
pairs[`updated_present_key_values.${i}.decoder.key`] = "ml-tensor";
pairs[`updated_present_key_values.${i}.decoder.value`] = "ml-tensor";
}
return pairs;
})() : undefined,
logSeverityLevel: 0,
};

Expand All @@ -111,16 +125,22 @@ export class Whisper {
let url = this.url + this.models[name]["url"];
if (this.dataType == "float16") {
url = url.replace(".onnx", "_fp16_layernorm_gelu.onnx");
if (name.includes("decoder") && this.mask_4d) {
url = url.replace(".onnx", "_4dmask.onnx");
if (name.includes("decoder")) {
if (this.mask_4d) {
url = url.replace(".onnx", "_4dmask.onnx");
}
if (this.ioBinding) {
url = url.replace(".onnx", "_iobinding.onnx");
}
}
log(`Loading ${this.models[name]["title"]} · ${this.dataType} · ${this.models[name]["fp16size"]}`);
} else {
url = url.replace(".onnx", "_layernorm.onnx");
log(`Loading ${this.models[name]["title"]} · ${this.dataType} · ${this.models[name]["fp32size"]}`);
}

const modelBuffer = await getModelOPFS(`${this.deviceType}_${name}_${this.dataType}`, url, false);
const modelBuffer = await getModelOPFS(`${this.ioBinding}_${this.deviceType}_${name}_${this.dataType}`,
url, false);
log(`${this.models[name]["title"]} loaded`);

log(`Creating session for ${this.models[name]["title"]}`);
Expand Down Expand Up @@ -271,15 +291,24 @@ export class Whisper {
}

// modify the self attention kv cache in place
cache_update(
decoder_input,
decoder_output,
0,
this.max_sequence_length,
this.num_init_tokens,
this.num_init_tokens,
this.dataType,
);
if (this.ioBinding) {
for (let i = 0; i < 6; i++) {
decoder_input[`past_key_values.${i}.decoder.key`] =
decoder_output[`padded_present_key_values.${i}.decoder.key`];
decoder_input[`past_key_values.${i}.decoder.value`] =
decoder_output[`padded_present_key_values.${i}.decoder.value`];
}
} else {
cache_update(
decoder_input,
decoder_output,
0,
this.max_sequence_length,
this.num_init_tokens,
this.num_init_tokens,
this.dataType
);
}

const position_ids = new Int32Array(decoder_input["position_ids"].cpuData.buffer);
// run complete inference for every item in dataset
Expand Down Expand Up @@ -319,16 +348,40 @@ export class Whisper {
position_ids[0],
this.mask_4d,
);
// modify the kv cache in place
cache_update(
decoder_input,
decoder_cached_output,
i,
this.max_sequence_length,
this.num_init_tokens,
position_ids[0],
this.dataType,
);

// modify the kv cache in place
if (this.ioBinding) {
for (let i = 0; i < 6; i++) {
// dispose previous tensors
decoder_input[`past_key_values.${i}.decoder.key`].mlTensor.destroy();
decoder_input[`past_key_values.${i}.decoder.value`].mlTensor.destroy();
// update the kv cache
decoder_input[`past_key_values.${i}.decoder.key`] =
decoder_cached_output[`updated_present_key_values.${i}.decoder.key`];
decoder_input[`past_key_values.${i}.decoder.value`] =
decoder_cached_output[`updated_present_key_values.${i}.decoder.value`];
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}
} else {
cache_update(
decoder_input,
decoder_cached_output,
i,
this.max_sequence_length,
this.num_init_tokens,
position_ids[0],
this.dataType
);
}

}

if (this.ioBinding) {
for (let i = 0; i < 6; i++) {
decoder_output[`padded_present_key_values.${i}.decoder.key`].mlTensor.destroy();
decoder_output[`padded_present_key_values.${i}.decoder.value`].mlTensor.destroy();
decoder_input[`past_key_values.${i}.encoder.key`].mlTensor.destroy();
decoder_input[`past_key_values.${i}.encoder.value`].mlTensor.destroy();
}
}

// add token to sentence decode time
Expand Down