mirror of
https://github.com/saymrwulf/onnxruntime.git
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### Description <!-- Describe your changes. --> This PR makes sure that only storage buffers are reused. Previously, the query buffer might also get from the freeBuffers list if there is a matching size in it. But they are different usage, which results errors.
147 lines
6 KiB
TypeScript
147 lines
6 KiB
TypeScript
// Copyright (c) Microsoft Corporation. All rights reserved.
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// Licensed under the MIT License.
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import {WebGpuBackend} from '../backend-webgpu';
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import {LOG_DEBUG} from '../log';
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import {createShaderHelper} from './ops/common';
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import {Artifact, GpuData, ProgramInfo} from './types';
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/**
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* ProgramManager is the main class behind running computations
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* It builds ProgramInfo's into Artifacts
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* It compiles given ProgramInfo's into WebGL Prorams (cached as Artifacts)
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* Uses the artifact to run the computation by calling Draw on
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* the WebGL drawing buffer
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* ProgramManager automatically maps (binds) input variables to their
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* corresponding Location's in the binary program
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*/
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export class ProgramManager {
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repo: Map<unknown, Artifact>; // this should be per-session object
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attributesBound: boolean;
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constructor(private backend: WebGpuBackend) {
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this.repo = new Map();
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this.attributesBound = false;
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}
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getArtifact(key: unknown): Artifact|undefined {
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return this.repo.get(key);
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}
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setArtifact(key: unknown, artifact: Artifact): void {
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this.repo.set(key, artifact);
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}
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run(buildArtifact: Artifact, inputs: GpuData[], outputs: GpuData[], dispatchGroup: [number, number, number]): void {
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const device = this.backend.device;
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const computePassEncoder = this.backend.getComputePassEncoder();
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const profilingEnabled = this.backend.supportTimestampQuery && this.backend.env.webgpu.profilingMode === 'default';
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if (profilingEnabled) {
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// profiling write start timestamp
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// eslint-disable-next-line @typescript-eslint/no-explicit-any
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(computePassEncoder as any).writeTimestamp(this.backend.profilingQuerySet, 0);
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}
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computePassEncoder.setPipeline(buildArtifact.computePipeline);
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const entries = [];
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for (const input of inputs) {
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entries.push({binding: entries.length, resource: {buffer: input.buffer}});
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}
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for (const output of outputs) {
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entries.push({binding: entries.length, resource: {buffer: output.buffer}});
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}
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const bindGroup = device.createBindGroup({layout: buildArtifact.computePipeline.getBindGroupLayout(0), entries});
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computePassEncoder.setBindGroup(0, bindGroup);
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computePassEncoder.dispatchWorkgroups(...dispatchGroup);
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this.backend.pendingDispatchNumber++;
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if (profilingEnabled) {
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// profiling write end timestamp
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// eslint-disable-next-line @typescript-eslint/no-explicit-any
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(computePassEncoder as any).writeTimestamp(this.backend.profilingQuerySet, 1);
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if (this.backend.profilingQueryData == null) {
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this.backend.profilingQueryData =
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// eslint-disable-next-line no-bitwise
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this.backend.gpuDataManager.create(16, GPUBufferUsage.COPY_SRC | GPUBufferUsage.QUERY_RESOLVE);
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}
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// eslint-disable-next-line no-bitwise
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const syncData = this.backend.gpuDataManager.create(16, GPUBufferUsage.MAP_READ | GPUBufferUsage.COPY_DST);
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this.backend.endComputePass();
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this.backend.getCommandEncoder().resolveQuerySet(
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this.backend.profilingQuerySet, 0, 2, this.backend.profilingQueryData.buffer, 0);
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this.backend.getCommandEncoder().copyBufferToBuffer(
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this.backend.profilingQueryData.buffer, 0, syncData.buffer, 0, 16);
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this.backend.flush();
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const kernelId = this.backend.currentKernelId!;
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const kernelName = this.backend.kernels.get(kernelId)![0];
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syncData.buffer.mapAsync(GPUMapMode.READ).then(() => {
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const mappedData = new BigUint64Array(syncData.buffer.getMappedRange());
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const startTimeU64 = mappedData[0];
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const endTimeU64 = mappedData[1];
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syncData.buffer.unmap();
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if (typeof this.backend.profilingTimeBase === 'undefined') {
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this.backend.profilingTimeBase = startTimeU64;
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}
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const startTime = Number(startTimeU64 - this.backend.profilingTimeBase);
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const endTime = Number(endTimeU64 - this.backend.profilingTimeBase);
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if (!Number.isSafeInteger(startTime) || !Number.isSafeInteger(endTime)) {
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throw new RangeError('incorrect timestamp range');
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}
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this.backend.gpuDataManager.release(syncData.id);
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// eslint-disable-next-line no-console
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console.log(`[profiling] kernel "${kernelId}|${kernelName}" execution time: ${endTime - startTime} ns`);
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});
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}
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if (this.backend.pendingDispatchNumber >= 16) {
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this.backend.flush();
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}
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}
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dispose(): void {
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// this.repo.forEach(a => this.glContext.deleteProgram(a.program));
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}
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build(programInfo: ProgramInfo, normalizedDispatchGroupSize: [number, number, number]): Artifact {
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const device = this.backend.device;
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const code = programInfo.getShaderSource(createShaderHelper(normalizedDispatchGroupSize));
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const shaderModule = device.createShaderModule({code});
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LOG_DEBUG('verbose', () => `[WebGPU] shader code: ${code}`);
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const computePipeline =
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device.createComputePipeline({compute: {module: shaderModule, entryPoint: 'main'}, layout: 'auto'});
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return {programInfo, computePipeline};
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}
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normalizeDispatchGroupSize(dispatchGroup: ReturnType<ProgramInfo['dispatchGroup']>): [number, number, number] {
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const x = typeof dispatchGroup === 'number' ? dispatchGroup : dispatchGroup.x;
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const y = typeof dispatchGroup === 'number' ? 1 : (dispatchGroup.y || 1);
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const z = typeof dispatchGroup === 'number' ? 1 : (dispatchGroup.z || 1);
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const limitPerDimension = this.backend.device.limits.maxComputeWorkgroupsPerDimension;
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if (x <= limitPerDimension && y <= limitPerDimension && z <= limitPerDimension) {
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return [x, y, z];
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}
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const size = x * y * z;
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let dispatchAverage = Math.ceil(Math.sqrt(size));
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if (dispatchAverage > limitPerDimension) {
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dispatchAverage = Math.ceil(Math.cbrt(size));
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if (dispatchAverage > limitPerDimension) {
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throw new Error('Total dispatch size exceeds WebGPU maximum.');
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}
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return [dispatchAverage, dispatchAverage, dispatchAverage];
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} else {
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return [dispatchAverage, dispatchAverage, 1];
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}
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}
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}
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