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[WebGPU EP] Add GEMM implementation #24023
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Mar 26, 2025
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a2a7d5f
implement
b1a43f3
handle A/B
2198ff9
fix pipeline error
9438a2b
remove unneccessary variable
4f31592
optimize
bc54156
resolve comments
e29ed33
Merge remote-tracking branch 'origin/main' into user/xiaofeihan/imple…
996f514
use cachehint
ff864c6
remove strjoin
337f0c2
Merge remote-tracking branch 'origin/main' into user/xiaofeihan/imple…
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,236 @@ | ||
| // Copyright (c) Microsoft Corporation. All rights reserved. | ||
| // Licensed under the MIT License. | ||
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| #include "core/providers/webgpu/math/gemm.h" | ||
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| #include <vector> | ||
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| #include "core/providers/webgpu/shader_helper.h" | ||
| #include "core/providers/webgpu/webgpu_supported_types.h" | ||
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| namespace onnxruntime { | ||
| namespace webgpu { | ||
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| #define WEBGPU_GEMM_VERSIONED_KERNEL(start, end) \ | ||
| ONNX_OPERATOR_VERSIONED_KERNEL_EX( \ | ||
| Gemm, \ | ||
| kOnnxDomain, \ | ||
| start, \ | ||
| end, \ | ||
| kWebGpuExecutionProvider, \ | ||
| (*KernelDefBuilder::Create()) \ | ||
| .TypeConstraint("T", WebGpuSupportedNumberTypes()), \ | ||
| Gemm); | ||
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| #define WEBGPU_GEMM_KERNEL(version) \ | ||
| ONNX_OPERATOR_KERNEL_EX( \ | ||
| Gemm, \ | ||
| kOnnxDomain, \ | ||
| version, \ | ||
| kWebGpuExecutionProvider, \ | ||
| (*KernelDefBuilder::Create()) \ | ||
| .TypeConstraint("T", WebGpuSupportedNumberTypes()), \ | ||
| Gemm); | ||
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| WEBGPU_GEMM_VERSIONED_KERNEL(7, 8) | ||
| WEBGPU_GEMM_VERSIONED_KERNEL(9, 10) | ||
| WEBGPU_GEMM_VERSIONED_KERNEL(11, 12) | ||
| WEBGPU_GEMM_KERNEL(13) | ||
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| Status GemmProgram::GenerateShaderCode(ShaderHelper& shader) const { | ||
| const uint32_t TILE_SIZE = 16; | ||
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| // Add shared memory arrays | ||
| shader.AdditionalImplementation() << "var<workgroup> tile_a: array<array<output_value_t, " << TILE_SIZE << ">, " << TILE_SIZE << ">;\n" | ||
| << "var<workgroup> tile_b: array<array<output_value_t, " << TILE_SIZE << ">, " << TILE_SIZE << ">;\n\n"; | ||
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| const ShaderVariableHelper& output = shader.AddOutput("output", ShaderUsage::UseUniform | ShaderUsage::UseValueTypeAlias); | ||
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| shader.MainFunctionBody() << " var value = output_value_t(0);\n\n" | ||
| << " let tile_col_start = (workgroup_idx % uniforms.num_tile_n) * " << TILE_SIZE << "u;\n" | ||
| << " let tile_row_start = (workgroup_idx / uniforms.num_tile_n) * " << TILE_SIZE << "u;\n"; | ||
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| // When A or B is empty, we don't bind A and B. Because WebGPU doesn't support binding a zero-sized buffer. | ||
| if (need_handle_matmul_) { | ||
| const ShaderVariableHelper& A = shader.AddInput("A", ShaderUsage::UseUniform); | ||
| const ShaderVariableHelper& B = shader.AddInput("B", ShaderUsage::UseUniform); | ||
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| shader.MainFunctionBody() | ||
| << " let num_tiles = (uniforms.K - 1u) / " << TILE_SIZE << "u + 1u;\n" | ||
| << " var k_start = 0u;\n" | ||
| << " for (var t = 0u; t < num_tiles; t = t + 1u) {\n"; | ||
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| // Fill workgroup shared memory | ||
| if (transA_ && transB_) { | ||
| shader.MainFunctionBody() << " var col = tile_row_start + local_id.x;\n" | ||
| << " var row = k_start + local_id.y;\n" | ||
| << " if (col < uniforms.M && row < uniforms.K) {\n" | ||
| << " tile_a[local_id.y][local_id.x] = " << A.GetByOffset("row * uniforms.M + col") << ";\n" | ||
| << " } else {\n" | ||
| << " tile_a[local_id.y][local_id.x] = output_value_t(0);\n" | ||
| << " }\n\n" | ||
| << " col = k_start + local_id.x;\n" | ||
| << " row = tile_col_start + local_id.y;\n" | ||
| << " if (col < uniforms.K && row < uniforms.N) {\n" | ||
| << " tile_b[local_id.y][local_id.x] = " << B.GetByOffset("row * uniforms.K + col") << ";\n" | ||
| << " } else {\n" | ||
| << " tile_b[local_id.y][local_id.x] = output_value_t(0);\n" | ||
| << " }\n"; | ||
| } else if (transA_ && !transB_) { | ||
| shader.MainFunctionBody() << " var col = tile_row_start + local_id.x;\n" | ||
| << " var row = k_start + local_id.y;\n" | ||
| << " if (col < uniforms.M && row < uniforms.K) {\n" | ||
| << " tile_a[local_id.y][local_id.x] = " << A.GetByOffset("row * uniforms.M + col") << ";\n" | ||
| << " } else {\n" | ||
| << " tile_a[local_id.y][local_id.x] = output_value_t(0);\n" | ||
| << " }\n\n" | ||
| << " col = tile_col_start + local_id.x;\n" | ||
| << " row = k_start + local_id.y;\n" | ||
| << " if (col < uniforms.N && row < uniforms.K) {\n" | ||
| << " tile_b[local_id.y][local_id.x] = " << B.GetByOffset("row * uniforms.N + col") << ";\n" | ||
| << " } else {\n" | ||
| << " tile_b[local_id.y][local_id.x] = output_value_t(0);\n" | ||
| << " }\n"; | ||
| } else if (!transA_ && transB_) { | ||
| shader.MainFunctionBody() << " var col = k_start + local_id.x;\n" | ||
| << " var row = tile_row_start + local_id.y;\n" | ||
| << " if (col < uniforms.K && row < uniforms.M) {\n" | ||
| << " tile_a[local_id.y][local_id.x] = " << A.GetByOffset("row * uniforms.K + col") << ";\n" | ||
| << " } else {\n" | ||
| << " tile_a[local_id.y][local_id.x] = output_value_t(0);\n" | ||
| << " }\n\n" | ||
| << " col = k_start + local_id.x;\n" | ||
| << " row = tile_col_start + local_id.y;\n" | ||
| << " if (col < uniforms.K && row < uniforms.N) {\n" | ||
| << " tile_b[local_id.y][local_id.x] = " << B.GetByOffset("row * uniforms.K + col") << ";\n" | ||
| << " } else {\n" | ||
| << " tile_b[local_id.y][local_id.x] = output_value_t(0);\n" | ||
| << " }\n"; | ||
| } else { | ||
| shader.MainFunctionBody() << " var col = k_start + local_id.x;\n" | ||
| << " var row = tile_row_start + local_id.y;\n" | ||
| << " if (col < uniforms.K && row < uniforms.M) {\n" | ||
| << " tile_a[local_id.y][local_id.x] = " << A.GetByOffset("row * uniforms.K + col") << ";\n" | ||
| << " } else {\n" | ||
| << " tile_a[local_id.y][local_id.x] = output_value_t(0);\n" | ||
| << " }\n\n" | ||
| << " col = tile_col_start + local_id.x;\n" | ||
| << " row = k_start + local_id.y;\n" | ||
| << " if (col < uniforms.N && row < uniforms.K) {\n" | ||
| << " tile_b[local_id.y][local_id.x] = " << B.GetByOffset("row * uniforms.N + col") << ";\n" | ||
| << " } else {\n" | ||
| << " tile_b[local_id.y][local_id.x] = output_value_t(0);\n" | ||
| << " }\n"; | ||
| } | ||
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| shader.MainFunctionBody() << " k_start = k_start + " << TILE_SIZE << "u;\n" | ||
| << " workgroupBarrier();\n\n" | ||
| << " for (var k = 0u; k < " << TILE_SIZE << "u; k = k + 1u) {\n"; | ||
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| if (transA_ && transB_) { | ||
| shader.MainFunctionBody() << " value = value + tile_a[k][local_id.y] * tile_b[local_id.x][k];\n"; | ||
| } else if (transA_ && !transB_) { | ||
| shader.MainFunctionBody() << " value = value + tile_a[k][local_id.y] * tile_b[k][local_id.x];\n"; | ||
| } else if (!transA_ && transB_) { | ||
| shader.MainFunctionBody() << " value = value + tile_a[local_id.y][k] * tile_b[local_id.x][k];\n"; | ||
| } else { | ||
| shader.MainFunctionBody() << " value = value + tile_a[local_id.y][k] * tile_b[k][local_id.x];\n"; | ||
| } | ||
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| shader.MainFunctionBody() << " }\n" | ||
| << " workgroupBarrier();\n" | ||
| << " }\n\n"; | ||
| } | ||
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| // Calculate Alpha | ||
| if (alpha_) { | ||
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| shader.MainFunctionBody() << " value = value * output_value_t(uniforms.alpha);\n"; | ||
| } | ||
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| shader.MainFunctionBody() << " let m = tile_row_start + local_id.y;\n" | ||
| << " let n = tile_col_start + local_id.x;\n"; | ||
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| // Calculate Bias | ||
| if (need_handle_bias_) { | ||
| const ShaderVariableHelper& C = shader.AddInput("C", ShaderUsage::UseUniform); | ||
| shader.MainFunctionBody() << " value = value + output_value_t(uniforms.beta) * " | ||
| << C.GetByOffset(C.BroadcastedIndicesToOffset("vec2(m, n)", output)) << ";\n"; | ||
| } | ||
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| // Write output | ||
| shader.MainFunctionBody() << " if (m < uniforms.M && n < uniforms.N) {\n" | ||
| << " " << output.SetByOffset("m * uniforms.N + n", "value") << "\n" | ||
| << " }\n"; | ||
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| return Status::OK(); | ||
| } | ||
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| Status Gemm::ComputeInternal(ComputeContext& context) const { | ||
| const auto* A = context.Input<Tensor>(0); | ||
| const auto* B = context.Input<Tensor>(1); | ||
| const auto* C = context.Input<Tensor>(2); | ||
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| if (A == nullptr || B == nullptr) { | ||
| return ORT_MAKE_STATUS(ONNXRUNTIME, INVALID_ARGUMENT, "Gemm requires input tensors A and B."); | ||
| } | ||
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| const auto& A_shape = A->Shape(); | ||
| const auto& B_shape = B->Shape(); | ||
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| if (A_shape.NumDimensions() != 2 || B_shape.NumDimensions() != 2) { | ||
| return ORT_MAKE_STATUS(ONNXRUNTIME, INVALID_ARGUMENT, "Input tensors A and B must be 2 dimensional."); | ||
| } | ||
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| uint32_t M = onnxruntime::narrow<uint32_t>(transA_ ? A_shape[1] : A_shape[0]); | ||
| uint32_t K = onnxruntime::narrow<uint32_t>(transA_ ? A_shape[0] : A_shape[1]); | ||
| uint32_t N = onnxruntime::narrow<uint32_t>(transB_ ? B_shape[0] : B_shape[1]); | ||
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| if ((transA_ ? A_shape[0] : A_shape[1]) != (transB_ ? B_shape[1] : B_shape[0])) { | ||
| return ORT_MAKE_STATUS(ONNXRUNTIME, INVALID_ARGUMENT, "Inner dimensions of A and B must match."); | ||
| } | ||
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| std::vector<int64_t> output_dims{M, N}; | ||
| auto* Y = context.Output(0, output_dims); | ||
| int64_t output_size = Y->Shape().Size(); | ||
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| if (output_size == 0) { | ||
| return Status::OK(); | ||
| } | ||
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| // WebGPU doesn't support binding a zero-sized buffer, so we need to check if A or B is empty. | ||
| bool need_handle_matmul = A_shape.Size() > 0 && B_shape.Size() > 0; | ||
| bool need_handle_bias = C && beta_; | ||
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| GemmProgram program{transA_, transB_, alpha_, need_handle_bias, need_handle_matmul}; | ||
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| if (need_handle_matmul) { | ||
| program.AddInputs({{A, ProgramTensorMetadataDependency::Type}, | ||
| {B, ProgramTensorMetadataDependency::Type}}); | ||
| } | ||
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| if (need_handle_bias) { | ||
| program.AddInput({C, ProgramTensorMetadataDependency::Rank}); | ||
| } | ||
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| const uint32_t TILE_SIZE = 16; | ||
| const uint32_t num_tile_n = (N + TILE_SIZE - 1) / TILE_SIZE; | ||
| const uint32_t num_tile_m = (M + TILE_SIZE - 1) / TILE_SIZE; | ||
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| program.CacheHint(alpha_, transA_, transB_) | ||
| .AddOutputs({{Y, ProgramTensorMetadataDependency::Type}}) | ||
| .SetDispatchGroupSize(num_tile_n * num_tile_m) | ||
| .SetWorkgroupSize(TILE_SIZE, TILE_SIZE) | ||
| .AddUniformVariables({ | ||
| {static_cast<uint32_t>(num_tile_n)}, // num_tile_n | ||
| {static_cast<uint32_t>(M)}, // M | ||
| {static_cast<uint32_t>(N)}, // N | ||
| {static_cast<uint32_t>(K)}, // K | ||
| {alpha_}, // alpha | ||
| {beta_} // beta | ||
| }); | ||
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| return context.RunProgram(program); | ||
| } | ||
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| } // namespace webgpu | ||
| } // namespace onnxruntime | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,66 @@ | ||
| // Copyright (c) Microsoft Corporation. All rights reserved. | ||
| // Licensed under the MIT License. | ||
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| #pragma once | ||
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| #include "core/providers/webgpu/webgpu_kernel.h" | ||
| #include "core/providers/webgpu/shader_helper.h" | ||
| #include "core/providers/webgpu/program.h" | ||
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| namespace onnxruntime { | ||
| namespace webgpu { | ||
|
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| class GemmProgram final : public Program<GemmProgram> { | ||
| public: | ||
| GemmProgram(bool transA, bool transB, float alpha, bool need_handle_bias, bool need_handle_matmul) | ||
| : Program{"Gemm"}, | ||
| transA_{transA}, | ||
| transB_{transB}, | ||
| alpha_{alpha}, | ||
| need_handle_bias_{need_handle_bias}, | ||
| need_handle_matmul_{need_handle_matmul} {} | ||
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| Status GenerateShaderCode(ShaderHelper& sh) const override; | ||
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| WEBGPU_PROGRAM_DEFINE_UNIFORM_VARIABLES( | ||
| {"num_tile_n", ProgramUniformVariableDataType::Uint32}, | ||
| {"M", ProgramUniformVariableDataType::Uint32}, | ||
| {"N", ProgramUniformVariableDataType::Uint32}, | ||
| {"K", ProgramUniformVariableDataType::Uint32}, | ||
| {"alpha", ProgramUniformVariableDataType::Float32}, | ||
| {"beta", ProgramUniformVariableDataType::Float32}); | ||
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| private: | ||
| bool transA_; | ||
| bool transB_; | ||
| float alpha_; | ||
| bool need_handle_bias_; | ||
| bool need_handle_matmul_; | ||
| }; | ||
|
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| class Gemm final : public WebGpuKernel { | ||
| public: | ||
| Gemm(const OpKernelInfo& info) : WebGpuKernel(info) { | ||
| int64_t transA_temp; | ||
| info.GetAttrOrDefault("transA", &transA_temp, static_cast<int64_t>(0)); | ||
| transA_ = transA_temp != 0; | ||
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| int64_t transB_temp; | ||
| info.GetAttrOrDefault("transB", &transB_temp, static_cast<int64_t>(0)); | ||
| transB_ = transB_temp != 0; | ||
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| info.GetAttrOrDefault("alpha", &alpha_, 1.0f); | ||
| info.GetAttrOrDefault("beta", &beta_, 1.0f); | ||
| } | ||
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| Status ComputeInternal(ComputeContext& context) const override; | ||
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| private: | ||
| bool transA_; | ||
| bool transB_; | ||
| float alpha_; | ||
| float beta_; | ||
| }; | ||
|
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| } // namespace webgpu | ||
| } // namespace onnxruntime |
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