onnxruntime/js/web/script/test-runner-cli-args.ts
Yulong Wang 45ff957973
1.17.3 cherry-picks for ORT Web changes (#19926)
### Description
This PR is a preview of cherry-picks for ort-web to `rel-1.17.3` based
on `rel-1.17.2`.

<details>

<summary>Changes of ort-web to cherry-pick</summary>

The following commits are from main branch.

`o` stands for pick, and `x` stands for skip.
```
o   2e0a388c36 [js/webgpu] Add HardSigmoid support (#19215)
o   d226e40856 [js/webgpu] set query type in onRunStart (#19202)
o   61610ff986 [js/webgpu] Add FusedConv clip test case (#18900)
o   a33b5bd1fa [JS/WebGPU] Added Uniforms to SkipLayerNorm. (#18788)
o   591f90c0b9 [js/webgpu] Fix issue of timestamp query (#19258)
o   7252c6e747 [WebNN EP] Support WebNN async API with Asyncify (#19145)
o   5b06505073 [js/webgpu] Fix Tanh explosion (#19201)
o   656ca66186 [js/webgpu] Support uniforms for conv, conv transpose, conv grouped (#18753)
o   a3f0e2422b [js/webgpu] Support f16 uniform (#19098)
o   9e69606360 fix f16 for attention, enable slice and flatten for more types (#19262)
o   624b4e2063 [js/webgpu] Remove enableShapesUniforms (#19279)
o   90883a366a [js/webgpu] Add hardSigmoid activation for fusedConv (#19233)
o   85cef0af8c [js/webgpu] Support capture and replay for jsep (#18989)
o   d73131cf0f [js/webgpu] Use DataType as uniform cpu type (#19281)
o   dd1f6ccc45 [js/webgpu] resolve codescan alert (#19343)
o   3a2ab1963a [js/webgpu] Refactor createTensorShapeVariables (#18883)
o   efc17e79de [js/webgpu] Fix the undefined push error (#19366)
 x  50806a7dd5 [js/web] support external data in npm test (#19377)
o   ccbe264a39 [js/webgpu] Add LeakyRelu activation for fusedConv (#19369)
o   5ff27ef02a [js/webgpu] support customop FastGelu (#19392)
 x  03be65e064 [js/web] fix types exports in package.json (#19458)
o   06269a3952 [js/webgpu] allow uint8 tensors for webgpu (#19545)
o   dfeda9019c [JS/WebGPU] Add MatMulNBits (#19446)
o   1b48054e1b [js/webgpu] Create Split indices helpers by rank, not by shape (#19554)
o   3fe2c137ee [js] small fix to workaround formatter (#19400)
 x  70567a4b3a [js/web] use ApiTensor insteadof onnxjs Tensor in TensorResultValidator (#19358)
o   6e04e36e3f [js/common] upgrade tsc in common from 4.9.5 to 5.2.2 (#19317)
o   58f4921686 [js] changes to allow Float16Array if any polyfill is available (#19305)
o   57d6819212 [js/web] Fix fused-conv is not included in npm test (#19581)
o   ebd220b073 Misspelling in README.md (#19433)
o   38c3432393 Bump ip from 1.1.8 to 1.1.9 in /js/react_native (#19582)
o   fe82fccf1a [js/webgpu] Fix Conv2DTransposeMatMul f16 compilation failure (#19596)
o   76a2a487a1 Bump ip from 1.1.8 to 1.1.9 in /js/react_native/e2e (#19583)
o   29b1106033 [node] Switch to setImmediate to avoid starving the Node.js event loop (#19610)
o   ae3d73c981 [JS/WebGPU] Fix Split and Where to handle corner cases. (#19613)
o   aec2389ad0 [js/webgpu] allows a ProgramInfo's RunData to use zero sized output (#19614)
o   bb43a0f133 [js/webgpu] minor fixes to make tinyllama work (#19564)
o   0edb035808 [js/web] fix suite test list for zero sized tensor (#19638)
o   3cb81cdde2 [js/common] move 'env.wasm.trace' to 'env.trace' (#19617)
o   e30618d055 [js/webgpu] use Headless for webgpu test by default (#19702)
o   f06164ef8b [js/web] transfer input buffer back to caller thread (#19677)
 x  a788514027 [js/web] dump debug logs for karma for diagnose purpose (#19785)
o   24b72d2613 [JS/WebGPU] Preserve zero size input tensor dims. (#19737)
o   4538d31a8b [js/webgpu] expose a few properties in WebGPU API (#19857)
o   53de2d8cb0 [js/webgpu] Enable GroupedConvVectorize path (#19791)
o   ed250b88c3 [JS/WebGPU] Optimize MatMulNBits (#19852)
 x  e771a763c3 [js/test] align web test runner flags with ort.env (#19790)
o   79e50aeef3 [js/web] rewrite backend resolve to allow multiple EPs (#19735)
o   acb0df2280 Fix #19931 broken Get Started link of "ONNX Runtime JavaScript API" page (#19932)
o   b29849a287 [js/common] fix typedoc warnings (#19933)
o   afdab62f53 Bump follow-redirects from 1.15.4 to 1.15.6 in /js/web (#19949)
o   28ad6c3955 Bump follow-redirects from 1.15.4 to 1.15.6 in /js/node (#19951)
o   7e0d424934 accumulate in fp32 for Reduce* (#19868)
o   4c6a6a37f7 [js/webgpu] Fix NAN caused by un-initialized buffer in instance-norm (#19387)
o   01c7aaf6aa [js/webgpu] allow setting env.webgpu.adapter (#19940)
o   c45cff60cf [js/webgpu] fix maxpool / fp16 (#19981)
```

</details>

<details>
<summary>Cherry-pick commandlines</summary>

```sh
git cherry-pick 2e0a388c36
git cherry-pick d226e40856
git cherry-pick 61610ff986
git cherry-pick a33b5bd1fa
git cherry-pick 591f90c0b9
git cherry-pick 7252c6e747
git cherry-pick 5b06505073
git cherry-pick 656ca66186
git cherry-pick a3f0e2422b
git cherry-pick 9e69606360
git cherry-pick 624b4e2063
git cherry-pick 90883a366a
git cherry-pick 85cef0af8c  #<<<<< Note: conflicts
git cherry-pick d73131cf0f
git cherry-pick dd1f6ccc45
git cherry-pick 3a2ab1963a
git cherry-pick efc17e79de
git cherry-pick ccbe264a39
git cherry-pick 5ff27ef02a
git cherry-pick 06269a3952
git cherry-pick dfeda9019c
git cherry-pick 1b48054e1b
git cherry-pick 3fe2c137ee
git cherry-pick 6e04e36e3f
git cherry-pick 58f4921686
git cherry-pick 57d6819212
git cherry-pick ebd220b073
git cherry-pick 38c3432393
git cherry-pick fe82fccf1a
git cherry-pick 76a2a487a1
git cherry-pick 29b1106033
git cherry-pick ae3d73c981
git cherry-pick aec2389ad0
git cherry-pick bb43a0f133
git cherry-pick 0edb035808
git cherry-pick 3cb81cdde2
git cherry-pick e30618d055
git cherry-pick f06164ef8b
git cherry-pick 24b72d2613
git cherry-pick 4538d31a8b
git cherry-pick 53de2d8cb0
git cherry-pick ed250b88c3
git cherry-pick 79e50aeef3
git cherry-pick acb0df2280
git cherry-pick b29849a287
git cherry-pick afdab62f53
git cherry-pick 28ad6c3955
git cherry-pick 7e0d424934
git cherry-pick 4c6a6a37f7
git cherry-pick 01c7aaf6aa
git cherry-pick c45cff60cf
```
</details>

<details>
<summary>Cherry-pick conflicts</summary>

- 85cef0af8c #18989
this change is for enabling graph capture feature for JSEP, and it is
done after ROCM EP enabled graph capture feature. However, the ROCM EP
graph capture feature is not cherry-picked in rel-1.17.2.
</details>

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: Jiajia Qin <jiajia.qin@intel.com>
Co-authored-by: Xu Xing <xing.xu@intel.com>
Co-authored-by: satyajandhyala <satya.k.jandhyala@gmail.com>
Co-authored-by: Yang Gu <yang.gu@intel.com>
Co-authored-by: Wanming Lin <wanming.lin@intel.com>
Co-authored-by: Jiajie Hu <jiajie.hu@intel.com>
Co-authored-by: Guenther Schmuelling <guschmue@microsoft.com>
Co-authored-by: Matttttt <18152455+martholomew@users.noreply.github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Segev Finer <segev208@gmail.com>
Co-authored-by: Belem Zhang <belem.zhang@intel.com>
2024-03-29 13:13:39 -07:00

502 lines
19 KiB
TypeScript

// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
import minimist from 'minimist';
import npmlog from 'npmlog';
import {Env, InferenceSession} from 'onnxruntime-common';
import {Logger} from '../lib/onnxjs/instrument';
import {Test} from '../test/test-types';
/* eslint-disable max-len */
const HELP_MESSAGE = `
test-runner-cli
Run ONNX Runtime Web tests, models, benchmarks in different environments.
Usage:
test-runner-cli <mode> ... [options]
Modes:
suite0 Run all unittests, all operator tests and node model tests that described in suite test list
suite1 Run all operator tests and node model tests that described in suite test list
model Run a single model test
unittest Run all unittests
op Run a single operator test
Options:
*** General Options ***
-h, --help Print this message.
-d, --debug Specify to run test runner in debug mode.
Debug mode outputs verbose log for test runner, sets up environment debug flag, and keeps karma not to exit after tests completed.
-b=<...>, --backend=<...> Specify one or more backend(s) to run the test upon.
Backends can be one or more of the following, splitted by comma:
webgl
webgpu
wasm
webnn
-e=<...>, --env=<...> Specify the environment to run the test. Should be one of the following:
chrome (default)
edge (Windows only)
firefox
electron
safari (MacOS only)
node
bs (for BrowserStack tests)
-p, --profile Enable profiler.
Profiler will generate extra logs which include the information of events time consumption
-P[=<...>], --perf[=<...>] Generate performance number. Cannot be used with flag --debug.
This flag can be used with a number as value, specifying the total count of test cases to run. The test cases may be used multiple times. Default value is 10.
-c, --file-cache Enable file cache.
-i=<...>, --io-binding=<...> Specify the IO binding testing type. Should be one of the following:
none (default)
gpu-tensor use pre-allocated GPU tensors for inputs and outputs
gpu-location use pre-allocated GPU tensors for inputs and set preferredOutputLocation to 'gpu-buffer'
*** Session Options ***
-u=<...>, --optimized-model-file-path=<...> Specify whether to dump the optimized model.
-o=<...>, --graph-optimization-level=<...> Specify graph optimization level.
Default is 'all'. Valid values are 'disabled', 'basic', 'extended', 'all'.
*** Logging Options ***
--log-verbose=<...> Set log level to verbose
--log-info=<...> Set log level to info
--log-warning=<...> Set log level to warning
--log-error=<...> Set log level to error
The 4 flags above specify the logging configuration. Each flag allows to specify one or more category(s), splitted by comma. If use the flags without value, the log level will be applied to all category.
*** Backend Options ***
-x, --wasm-number-threads Set the WebAssembly number of threads
--wasm-init-timeout Set the timeout for WebAssembly backend initialization, in milliseconds
--wasm-enable-simd Set whether to enable SIMD
--wasm-enable-proxy Set whether to enable proxy worker
--webgl-context-id Set the WebGL context ID (webgl/webgl2)
--webgl-matmul-max-batch-size Set the WebGL matmulMaxBatchSize
--webgl-texture-cache-mode Set the WebGL texture cache mode (initializerOnly/full)
--webgl-texture-pack-mode Set the WebGL texture pack mode (true/false)
--webgpu-profiling-mode Set the WebGPU profiling mode (off/default)
--webnn-device-type Set the WebNN device type (cpu/gpu)
*** Browser Options ***
--no-sandbox This flag will be passed to Chrome.
Sometimes Chrome need this flag to work together with Karma.
--chromium-flags=<...> This flag will be passed to Chrome and Edge browsers. Can be used multiple times.
Examples:
Run all suite0 tests:
> test-runner-cli suite0
Run single model test (test_relu) on WebAssembly backend
> test-runner-cli model test_relu --backend=wasm
Debug unittest
> test-runner-cli unittest --debug
Debug operator matmul, highlight verbose log from BaseGlContext and WebGLBackend
> test-runner-cli op matmul --backend=webgl --debug --log-verbose=BaseGlContext,WebGLBackend
Profile an ONNX model on WebGL backend
> test-runner-cli model <model_folder> --profile --backend=webgl
Run perf testing of an ONNX model on WebGL backend
> test-runner-cli model <model_folder> -b=webgl -P
`;
/* eslint-enable max-len */
export declare namespace TestRunnerCliArgs {
type Mode = 'suite0'|'suite1'|'model'|'unittest'|'op';
type Backend = 'cpu'|'webgl'|'webgpu'|'wasm'|'onnxruntime'|'webnn';
type Environment = 'chrome'|'edge'|'firefox'|'electron'|'safari'|'node'|'bs';
type BundleMode = 'dev'|'perf';
type IOBindingMode = 'none'|'gpu-tensor'|'gpu-location';
}
export interface TestRunnerCliArgs {
debug: boolean;
mode: TestRunnerCliArgs.Mode;
/**
* The parameter that used when in mode 'model' or 'op', specifying the search string for the model or op test
*/
param?: string;
backends: [TestRunnerCliArgs.Backend];
env: TestRunnerCliArgs.Environment;
/**
* Bundle Mode
*
* this field affects the behavior of Karma and build script.
*
* Mode "perf":
* - use "dist/ort.all.min.js" as main file
* - use "test/ort.test.min.js" as test file
* Mode "dev":
* - use "dist/ort.all.js" as main file
* - use "test/ort.test.js" as test file
*/
bundleMode: TestRunnerCliArgs.BundleMode;
ioBindingMode: TestRunnerCliArgs.IOBindingMode;
logConfig: Test.Config['log'];
/**
* Whether to enable InferenceSession's profiler
*/
profile: boolean;
/**
* Whether to enable file cache
*/
fileCache: boolean;
/**
* Specify the times that test cases to run
*/
times?: number;
/**
* whether to dump the optimized model
*/
optimizedModelFilePath?: string;
/**
* Specify graph optimization level
*/
graphOptimizationLevel: 'disabled'|'basic'|'extended'|'all';
cpuOptions?: InferenceSession.CpuExecutionProviderOption;
cudaOptions?: InferenceSession.CudaExecutionProviderOption;
cudaFlags?: Record<string, unknown>;
wasmOptions?: InferenceSession.WebAssemblyExecutionProviderOption;
webglOptions?: InferenceSession.WebGLExecutionProviderOption;
webnnOptions?: InferenceSession.WebNNExecutionProviderOption;
globalEnvFlags?: Test.Options['globalEnvFlags'];
noSandbox?: boolean;
chromiumFlags: string[];
}
function parseBooleanArg(arg: unknown, defaultValue: boolean): boolean;
function parseBooleanArg(arg: unknown): boolean|undefined;
function parseBooleanArg(arg: unknown, defaultValue?: boolean): boolean|undefined {
if (typeof arg === 'undefined') {
return defaultValue;
}
if (typeof arg === 'boolean') {
return arg;
}
if (typeof arg === 'number') {
return arg !== 0;
}
if (typeof arg === 'string') {
if (arg.toLowerCase() === 'true') {
return true;
}
if (arg.toLowerCase() === 'false') {
return false;
}
}
throw new TypeError(`invalid boolean arg: ${arg}`);
}
function parseLogLevel<T>(arg: T) {
let v: string[]|boolean;
if (typeof arg === 'string') {
v = arg.split(',');
} else if (Array.isArray(arg)) {
v = [];
for (const e of arg) {
v.push(...e.split(','));
}
} else {
v = arg ? true : false;
}
return v;
}
function parseLogConfig(args: minimist.ParsedArgs) {
const config: Array<{category: string; config: Logger.Config}> = [];
const verbose = parseLogLevel(args['log-verbose']);
const info = parseLogLevel(args['log-info']);
const warning = parseLogLevel(args['log-warning']);
const error = parseLogLevel(args['log-error']);
if (typeof error === 'boolean' && error) {
config.push({category: '*', config: {minimalSeverity: 'error'}});
} else if (typeof warning === 'boolean' && warning) {
config.push({category: '*', config: {minimalSeverity: 'warning'}});
} else if (typeof info === 'boolean' && info) {
config.push({category: '*', config: {minimalSeverity: 'info'}});
} else if (typeof verbose === 'boolean' && verbose) {
config.push({category: '*', config: {minimalSeverity: 'verbose'}});
}
if (Array.isArray(error)) {
config.push(...error.map(i => ({category: i, config: {minimalSeverity: 'error' as Logger.Severity}})));
}
if (Array.isArray(warning)) {
config.push(...warning.map(i => ({category: i, config: {minimalSeverity: 'warning' as Logger.Severity}})));
}
if (Array.isArray(info)) {
config.push(...info.map(i => ({category: i, config: {minimalSeverity: 'info' as Logger.Severity}})));
}
if (Array.isArray(verbose)) {
config.push(...verbose.map(i => ({category: i, config: {minimalSeverity: 'verbose' as Logger.Severity}})));
}
return config;
}
function parseCpuOptions(_args: minimist.ParsedArgs): InferenceSession.CpuExecutionProviderOption {
return {name: 'cpu'};
}
function parseCpuFlags(_args: minimist.ParsedArgs): Record<string, unknown> {
return {};
}
function parseWasmOptions(_args: minimist.ParsedArgs): InferenceSession.WebAssemblyExecutionProviderOption {
return {name: 'wasm'};
}
function parseWasmFlags(args: minimist.ParsedArgs): Env.WebAssemblyFlags {
const numThreads = args.x || args['wasm-number-threads'];
if (typeof numThreads !== 'undefined' && typeof numThreads !== 'number') {
throw new Error('Flag "x"/"wasm-number-threads" must be a number value');
}
const initTimeout = args['wasm-init-timeout'];
if (typeof initTimeout !== 'undefined' && typeof initTimeout !== 'number') {
throw new Error('Flag "wasm-init-timeout" must be a number value');
}
let simd = args['wasm-enable-simd'];
if (simd === 'true') {
simd = true;
} else if (simd === 'false') {
simd = false;
} else if (typeof simd !== 'undefined' && typeof simd !== 'boolean') {
throw new Error('Flag "wasm-enable-simd" must be a boolean value');
}
let proxy = args['wasm-enable-proxy'];
if (proxy === 'true') {
proxy = true;
} else if (proxy === 'false') {
proxy = false;
} else if (typeof proxy !== 'undefined' && typeof proxy !== 'boolean') {
throw new Error('Flag "wasm-enable-proxy" must be a boolean value');
}
return {numThreads, initTimeout, simd, proxy};
}
function parseWebglOptions(_args: minimist.ParsedArgs): InferenceSession.WebGLExecutionProviderOption {
return {name: 'webgl'};
}
function parseWebglFlags(args: minimist.ParsedArgs): Partial<Env.WebGLFlags> {
const contextId = args['webgl-context-id'];
if (contextId !== undefined && contextId !== 'webgl' && contextId !== 'webgl2') {
throw new Error('Flag "webgl-context-id" is invalid');
}
const matmulMaxBatchSize = args['webgl-matmul-max-batch-size'];
if (matmulMaxBatchSize !== undefined && typeof matmulMaxBatchSize !== 'number') {
throw new Error('Flag "webgl-matmul-max-batch-size" must be a number value');
}
const textureCacheMode = args['webgl-texture-cache-mode'];
if (textureCacheMode !== undefined && textureCacheMode !== 'initializerOnly' && textureCacheMode !== 'full') {
throw new Error('Flag "webgl-texture-cache-mode" is invalid');
}
const pack = args['webgl-texture-pack-mode'];
if (pack !== undefined && typeof pack !== 'boolean') {
throw new Error('Flag "webgl-texture-pack-mode" is invalid');
}
const async = args['webgl-async'];
if (async !== undefined && typeof async !== 'boolean') {
throw new Error('Flag "webgl-async" is invalid');
}
return {contextId, matmulMaxBatchSize, textureCacheMode, pack};
}
function parseWebgpuFlags(args: minimist.ParsedArgs): Partial<Env.WebGpuFlags> {
const profilingMode = args['webgpu-profiling-mode'];
if (profilingMode !== undefined && profilingMode !== 'off' && profilingMode !== 'default') {
throw new Error('Flag "webgpu-profiling-mode" is invalid');
}
const validateInputContent = args['webgpu-validate-input-content'];
if (validateInputContent !== undefined && typeof validateInputContent !== 'boolean') {
throw new Error('Flag "webgpu-validate-input-content" is invalid');
}
return {profilingMode, validateInputContent};
}
function parseWebNNOptions(args: minimist.ParsedArgs): InferenceSession.WebNNExecutionProviderOption {
const deviceType = args['webnn-device-type'];
if (deviceType !== undefined && deviceType !== 'cpu' && deviceType !== 'gpu') {
throw new Error('Flag "webnn-device-type" is invalid');
}
return {name: 'webnn', deviceType};
}
function parseGlobalEnvFlags(args: minimist.ParsedArgs): NonNullable<TestRunnerCliArgs['globalEnvFlags']> {
const wasm = parseWasmFlags(args);
const webgl = parseWebglFlags(args);
const webgpu = parseWebgpuFlags(args);
const cpuFlags = parseCpuFlags(args);
return {webgl, wasm, webgpu, ...cpuFlags};
}
export function parseTestRunnerCliArgs(cmdlineArgs: string[]): TestRunnerCliArgs {
const args = minimist(cmdlineArgs);
if (args.help || args.h) {
console.log(HELP_MESSAGE);
process.exit();
}
// Option: -d, --debug
const debug = parseBooleanArg(args.debug || args.d, false);
if (debug) {
npmlog.level = 'verbose';
}
npmlog.verbose('TestRunnerCli.Init', 'Parsing commandline arguments...');
const mode = args._.length === 0 ? 'suite0' : args._[0];
// Option: -e=<...>, --env=<...>
const envArg = args.env || args.e;
const env = (typeof envArg !== 'string') ? 'chrome' : envArg;
if (['chrome', 'edge', 'firefox', 'electron', 'safari', 'node', 'bs'].indexOf(env) === -1) {
throw new Error(`not supported env ${env}`);
}
// Option: -b=<...>, --backend=<...>
const browserBackends = ['webgl', 'webgpu', 'wasm', 'webnn'];
// TODO: remove this when Chrome support WebNN.
// we need this for now because Chrome does not support webnn yet,
// and ChromeCanary is not in CI.
const defaultBrowserBackends = ['webgl', 'webgpu', 'wasm' /*, 'webnn'*/];
const nodejsBackends = ['cpu', 'wasm'];
const backendArgs = args.backend || args.b;
const backend = (typeof backendArgs !== 'string') ? (env === 'node' ? nodejsBackends : defaultBrowserBackends) :
backendArgs.split(',');
for (const b of backend) {
if ((env !== 'node' && browserBackends.indexOf(b) === -1) || (env === 'node' && nodejsBackends.indexOf(b) === -1)) {
throw new Error(`backend ${b} is not supported in env ${env}`);
}
}
const globalEnvFlags = parseGlobalEnvFlags(args);
// Options:
// --log-verbose=<...>
// --log-info=<...>
// --log-warning=<...>
// --log-error=<...>
const logConfig = parseLogConfig(args);
globalEnvFlags.logLevel = logConfig[0]?.config.minimalSeverity;
// Option: -p, --profile
const profile = (args.profile || args.p) ? true : false;
if (profile) {
logConfig.push({category: 'Profiler.session', config: {minimalSeverity: 'verbose'}});
logConfig.push({category: 'Profiler.node', config: {minimalSeverity: 'verbose'}});
logConfig.push({category: 'Profiler.op', config: {minimalSeverity: 'verbose'}});
logConfig.push({category: 'Profiler.backend', config: {minimalSeverity: 'verbose'}});
globalEnvFlags.logLevel = 'verbose';
}
// Option: -P[=<...>], --perf[=<...>]
const perfArg = (args.perf || args.P);
const perf = perfArg ? true : false;
const times = (typeof perfArg === 'number') ? perfArg : 10;
if (debug && perf) {
throw new Error('Flag "perf" cannot be used together with flag "debug".');
}
if (perf && (mode !== 'model')) {
throw new Error('Flag "perf" can only be used in mode "model".');
}
if (perf) {
logConfig.push({category: 'TestRunner.Perf', config: {minimalSeverity: 'verbose'}});
}
// Option: -i=<...>, --io-binding=<...>
const ioBindingArg = args['io-binding'] || args.i;
const ioBindingMode = (typeof ioBindingArg !== 'string') ? 'none' : ioBindingArg;
if (['none', 'gpu-tensor', 'gpu-location'].indexOf(ioBindingMode) === -1) {
throw new Error(`not supported io binding mode ${ioBindingMode}`);
}
// Option: -u, --optimized-model-file-path
const optimizedModelFilePath = args['optimized-model-file-path'] || args.u || undefined;
if (typeof optimizedModelFilePath !== 'undefined' && typeof optimizedModelFilePath !== 'string') {
throw new Error('Flag "optimized-model-file-path" need to be either empty or a valid file path.');
}
// Option: -o, --graph-optimization-level
const graphOptimizationLevel = args['graph-optimization-level'] || args.o || 'all';
if (typeof graphOptimizationLevel !== 'string' ||
['disabled', 'basic', 'extended', 'all'].indexOf(graphOptimizationLevel) === -1) {
throw new Error(`graph optimization level is invalid: ${graphOptimizationLevel}`);
}
// Option: -c, --file-cache
const fileCache = parseBooleanArg(args['file-cache'] || args.c, false);
const cpuOptions = parseCpuOptions(args);
const wasmOptions = parseWasmOptions(args);
const webglOptions = parseWebglOptions(args);
const webnnOptions = parseWebNNOptions(args);
// Option: --no-sandbox
const noSandbox = !!args['no-sandbox'];
// parse chromium flags
let chromiumFlags = args['chromium-flags'];
if (!chromiumFlags) {
chromiumFlags = [];
} else if (typeof chromiumFlags === 'string') {
chromiumFlags = [chromiumFlags];
} else if (!Array.isArray(chromiumFlags)) {
throw new Error(`Invalid command line arg: --chromium-flags: ${chromiumFlags}`);
}
npmlog.verbose('TestRunnerCli.Init', ` Mode: ${mode}`);
npmlog.verbose('TestRunnerCli.Init', ` Env: ${env}`);
npmlog.verbose('TestRunnerCli.Init', ` Debug: ${debug}`);
npmlog.verbose('TestRunnerCli.Init', ` Backend: ${backend}`);
npmlog.verbose('TestRunnerCli.Init', ` IO Binding Mode: ${ioBindingMode}`);
npmlog.verbose('TestRunnerCli.Init', 'Parsing commandline arguments... DONE');
return {
debug,
mode: mode as TestRunnerCliArgs['mode'],
param: args._.length > 1 ? args._[1] : undefined,
backends: backend as TestRunnerCliArgs['backends'],
bundleMode: perf ? 'perf' : 'dev',
env: env as TestRunnerCliArgs['env'],
logConfig,
profile,
times: perf ? times : undefined,
ioBindingMode: ioBindingMode as TestRunnerCliArgs['ioBindingMode'],
optimizedModelFilePath,
graphOptimizationLevel: graphOptimizationLevel as TestRunnerCliArgs['graphOptimizationLevel'],
fileCache,
cpuOptions,
webglOptions,
webnnOptions,
wasmOptions,
globalEnvFlags,
noSandbox,
chromiumFlags
};
}