onnxruntime/js/common/lib/inference-session.ts
Wanming Lin 00b1e79e04
Support WebNN EP (#15698)
**Description**: 

This PR intends to enable WebNN EP in ONNX Runtime Web. It translates
the ONNX nodes by [WebNN
API](https://webmachinelearning.github.io/webnn/), which is implemented
in C++ and uses Emscripten [Embind
API](https://emscripten.org/docs/porting/connecting_cpp_and_javascript/embind.html#).
Temporarily using preferred layout **NHWC** for WebNN graph partitions
since the restriction in WebNN XNNPack backend implementation and the
ongoing
[discussion](https://github.com/webmachinelearning/webnn/issues/324) in
WebNN spec that whether WebNN should support both 'NHWC' and 'NCHW'
layouts. No WebNN native EP, only for Web.

**Motivation and Context**:
Allow ONNXRuntime Web developers to access WebNN API to benefit from
hardware acceleration.

**WebNN API Implementation Status in Chromium**:
- Tracked in Chromium issue:
[#1273291](https://bugs.chromium.org/p/chromium/issues/detail?id=1273291)
- **CPU device**: based on XNNPack backend, and had been available on
Chrome Canary M112 behind "#enable-experimental-web-platform-features"
flag for Windows and Linux platforms. Further implementation for more
ops is ongoing.
- **GPU device**: based on DML, implementation is ongoing.

**Open**:
- GitHub CI: WebNN currently is only available on Chrome Canary/Dev with
XNNPack backend for Linux and Windows. This is an open to reviewers to
help identify which GitHub CI should involved the WebNN EP and guide me
to enable it. Thanks!
2023-05-08 21:25:10 -07:00

394 lines
12 KiB
TypeScript

// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
import {InferenceSession as InferenceSessionImpl} from './inference-session-impl';
import {OnnxValue} from './onnx-value';
/* eslint-disable @typescript-eslint/no-redeclare */
export declare namespace InferenceSession {
// #region input/output types
type OnnxValueMapType = {readonly [name: string]: OnnxValue};
type NullableOnnxValueMapType = {readonly [name: string]: OnnxValue | null};
/**
* A feeds (model inputs) is an object that uses input names as keys and OnnxValue as corresponding values.
*/
type FeedsType = OnnxValueMapType;
/**
* A fetches (model outputs) could be one of the following:
*
* - Omitted. Use model's output names definition.
* - An array of string indicating the output names.
* - An object that use output names as keys and OnnxValue or null as corresponding values.
*
* @remark
* different from input argument, in output, OnnxValue is optional. If an OnnxValue is present it will be
* used as a pre-allocated value by the inference engine; if omitted, inference engine will allocate buffer
* internally.
*/
type FetchesType = readonly string[]|NullableOnnxValueMapType;
/**
* A inferencing return type is an object that uses output names as keys and OnnxValue as corresponding values.
*/
type ReturnType = OnnxValueMapType;
// #endregion
// #region session options
/**
* A set of configurations for session behavior.
*/
export interface SessionOptions {
/**
* An array of execution provider options.
*
* An execution provider option can be a string indicating the name of the execution provider,
* or an object of corresponding type.
*/
executionProviders?: readonly ExecutionProviderConfig[];
/**
* The intra OP threads number.
*
* This setting is available only in ONNXRuntime (Node.js binding and react-native).
*/
intraOpNumThreads?: number;
/**
* The inter OP threads number.
*
* This setting is available only in ONNXRuntime (Node.js binding and react-native).
*/
interOpNumThreads?: number;
/**
* The optimization level.
*
* This setting is available only in ONNXRuntime (Node.js binding and react-native) or WebAssembly backend
*/
graphOptimizationLevel?: 'disabled'|'basic'|'extended'|'all';
/**
* Whether enable CPU memory arena.
*
* This setting is available only in ONNXRuntime (Node.js binding and react-native) or WebAssembly backend
*/
enableCpuMemArena?: boolean;
/**
* Whether enable memory pattern.
*
* This setting is available only in ONNXRuntime (Node.js binding and react-native) or WebAssembly backend
*/
enableMemPattern?: boolean;
/**
* Execution mode.
*
* This setting is available only in ONNXRuntime (Node.js binding and react-native) or WebAssembly backend
*/
executionMode?: 'sequential'|'parallel';
/**
* Optimized model file path.
*
* If this setting is specified, the optimized model will be dumped. In browser, a blob will be created
* with a pop-up window.
*/
optimizedModelFilePath?: string;
/**
* Wether enable profiling.
*
* This setting is a placeholder for a future use.
*/
enableProfiling?: boolean;
/**
* File prefix for profiling.
*
* This setting is a placeholder for a future use.
*/
profileFilePrefix?: string;
/**
* Log ID.
*
* This setting is available only in ONNXRuntime (Node.js binding and react-native) or WebAssembly backend
*/
logId?: string;
/**
* Log severity level. See
* https://github.com/microsoft/onnxruntime/blob/main/include/onnxruntime/core/common/logging/severity.h
*
* This setting is available only in ONNXRuntime (Node.js binding and react-native) or WebAssembly backend
*/
logSeverityLevel?: 0|1|2|3|4;
/**
* Log verbosity level.
*
* This setting is available only in WebAssembly backend. Will support Node.js binding and react-native later
*/
logVerbosityLevel?: number;
/**
* Store configurations for a session. See
* https://github.com/microsoft/onnxruntime/blob/main/include/onnxruntime/core/session/
* onnxruntime_session_options_config_keys.h
*
* This setting is available only in WebAssembly backend. Will support Node.js binding and react-native later
*
* @example
* ```js
* extra: {
* session: {
* set_denormal_as_zero: "1",
* disable_prepacking: "1"
* },
* optimization: {
* enable_gelu_approximation: "1"
* }
* }
* ```
*/
extra?: Record<string, unknown>;
}
// #region execution providers
// Currently, we have the following backends to support execution providers:
// Backend Node.js binding: supports 'cpu' and 'cuda'.
// Backend WebAssembly: supports 'cpu', 'wasm', 'xnnpack' and 'webnn'.
// Backend ONNX.js: supports 'webgl'.
interface ExecutionProviderOptionMap {
cpu: CpuExecutionProviderOption;
cuda: CudaExecutionProviderOption;
wasm: WebAssemblyExecutionProviderOption;
webgl: WebGLExecutionProviderOption;
xnnpack: XnnpackExecutionProviderOption;
webnn: WebNNExecutionProviderOption;
}
type ExecutionProviderName = keyof ExecutionProviderOptionMap;
type ExecutionProviderConfig =
ExecutionProviderOptionMap[ExecutionProviderName]|ExecutionProviderOption|ExecutionProviderName|string;
export interface ExecutionProviderOption {
readonly name: string;
}
export interface CpuExecutionProviderOption extends ExecutionProviderOption {
readonly name: 'cpu';
useArena?: boolean;
}
export interface CudaExecutionProviderOption extends ExecutionProviderOption {
readonly name: 'cuda';
deviceId?: number;
}
export interface WebAssemblyExecutionProviderOption extends ExecutionProviderOption {
readonly name: 'wasm';
}
export interface WebGLExecutionProviderOption extends ExecutionProviderOption {
readonly name: 'webgl';
// TODO: add flags
}
export interface XnnpackExecutionProviderOption extends ExecutionProviderOption {
readonly name: 'xnnpack';
}
export interface WebNNExecutionProviderOption extends ExecutionProviderOption {
readonly name: 'webnn';
deviceType?: 'cpu'|'gpu';
powerPreference?: 'default'|'low-power'|'high-performance';
}
// #endregion
// #endregion
// #region run options
/**
* A set of configurations for inference run behavior
*/
export interface RunOptions {
/**
* Log severity level. See
* https://github.com/microsoft/onnxruntime/blob/main/include/onnxruntime/core/common/logging/severity.h
*
* This setting is available only in ONNXRuntime (Node.js binding and react-native) or WebAssembly backend
*/
logSeverityLevel?: 0|1|2|3|4;
/**
* Log verbosity level.
*
* This setting is available only in WebAssembly backend. Will support Node.js binding and react-native later
*/
logVerbosityLevel?: number;
/**
* Terminate all incomplete OrtRun calls as soon as possible if true
*
* This setting is available only in WebAssembly backend. Will support Node.js binding and react-native later
*/
terminate?: boolean;
/**
* A tag for the Run() calls using this
*
* This setting is available only in ONNXRuntime (Node.js binding and react-native) or WebAssembly backend
*/
tag?: string;
/**
* Set a single run configuration entry. See
* https://github.com/microsoft/onnxruntime/blob/main/include/onnxruntime/core/session/
* onnxruntime_run_options_config_keys.h
*
* This setting is available only in WebAssembly backend. Will support Node.js binding and react-native later
*
* @example
*
* ```js
* extra: {
* memory: {
* enable_memory_arena_shrinkage: "1",
* }
* }
* ```
*/
extra?: Record<string, unknown>;
}
// #endregion
// #region value metadata
// eslint-disable-next-line @typescript-eslint/no-empty-interface
interface ValueMetadata {
// TBD
}
// #endregion
}
/**
* Represent a runtime instance of an ONNX model.
*/
export interface InferenceSession {
// #region run()
/**
* Execute the model asynchronously with the given feeds and options.
*
* @param feeds - Representation of the model input. See type description of `InferenceSession.InputType` for detail.
* @param options - Optional. A set of options that controls the behavior of model inference.
* @returns A promise that resolves to a map, which uses output names as keys and OnnxValue as corresponding values.
*/
run(feeds: InferenceSession.FeedsType, options?: InferenceSession.RunOptions): Promise<InferenceSession.ReturnType>;
/**
* Execute the model asynchronously with the given feeds, fetches and options.
*
* @param feeds - Representation of the model input. See type description of `InferenceSession.InputType` for detail.
* @param fetches - Representation of the model output. See type description of `InferenceSession.OutputType` for
* detail.
* @param options - Optional. A set of options that controls the behavior of model inference.
* @returns A promise that resolves to a map, which uses output names as keys and OnnxValue as corresponding values.
*/
run(feeds: InferenceSession.FeedsType, fetches: InferenceSession.FetchesType,
options?: InferenceSession.RunOptions): Promise<InferenceSession.ReturnType>;
// #endregion
// #region profiling
/**
* Start profiling.
*/
startProfiling(): void;
/**
* End profiling.
*/
endProfiling(): void;
// #endregion
// #region metadata
/**
* Get input names of the loaded model.
*/
readonly inputNames: readonly string[];
/**
* Get output names of the loaded model.
*/
readonly outputNames: readonly string[];
// /**
// * Get input metadata of the loaded model.
// */
// readonly inputMetadata: ReadonlyArray<Readonly<InferenceSession.ValueMetadata>>;
// /**
// * Get output metadata of the loaded model.
// */
// readonly outputMetadata: ReadonlyArray<Readonly<InferenceSession.ValueMetadata>>;
// #endregion
}
export interface InferenceSessionFactory {
// #region create()
/**
* Create a new inference session and load model asynchronously from an ONNX model file.
*
* @param uri - The URI or file path of the model to load.
* @param options - specify configuration for creating a new inference session.
* @returns A promise that resolves to an InferenceSession object.
*/
create(uri: string, options?: InferenceSession.SessionOptions): Promise<InferenceSession>;
/**
* Create a new inference session and load model asynchronously from an array bufer.
*
* @param buffer - An ArrayBuffer representation of an ONNX model.
* @param options - specify configuration for creating a new inference session.
* @returns A promise that resolves to an InferenceSession object.
*/
create(buffer: ArrayBufferLike, options?: InferenceSession.SessionOptions): Promise<InferenceSession>;
/**
* Create a new inference session and load model asynchronously from segment of an array bufer.
*
* @param buffer - An ArrayBuffer representation of an ONNX model.
* @param byteOffset - The beginning of the specified portion of the array buffer.
* @param byteLength - The length in bytes of the array buffer.
* @param options - specify configuration for creating a new inference session.
* @returns A promise that resolves to an InferenceSession object.
*/
create(buffer: ArrayBufferLike, byteOffset: number, byteLength?: number, options?: InferenceSession.SessionOptions):
Promise<InferenceSession>;
/**
* Create a new inference session and load model asynchronously from a Uint8Array.
*
* @param buffer - A Uint8Array representation of an ONNX model.
* @param options - specify configuration for creating a new inference session.
* @returns A promise that resolves to an InferenceSession object.
*/
create(buffer: Uint8Array, options?: InferenceSession.SessionOptions): Promise<InferenceSession>;
// #endregion
}
// eslint-disable-next-line @typescript-eslint/naming-convention
export const InferenceSession: InferenceSessionFactory = InferenceSessionImpl;