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| // Copyright (c) Microsoft Corporation. All rights reserved. | ||
| // Licensed under the MIT License. | ||
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| #include "fast_gelu.h" | ||
| #include "core/providers/webgpu/shader_helper.h" | ||
| #include "core/providers/webgpu/webgpu_supported_types.h" | ||
| #include "contrib_ops/webgpu/webgpu_contrib_kernels.h" | ||
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| namespace onnxruntime { | ||
| namespace contrib { | ||
| namespace webgpu { | ||
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| ONNX_OPERATOR_KERNEL_EX( | ||
| FastGelu, | ||
| kMSDomain, | ||
| 1, | ||
| kWebGpuExecutionProvider, | ||
| (*KernelDefBuilder::Create()) | ||
| .TypeConstraint("T", WebGpuSupportedFloatTypes()), | ||
| FastGelu); | ||
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| Status FastGeluProgram::GenerateShaderCode(ShaderHelper& shader) const { | ||
| const auto& input = shader.AddInput("input", | ||
| ToProgramVariableDataType(Inputs()[0].tensor->GetElementType(), 4), | ||
| ShaderVariable::UseUniform | ShaderVariable::UseValueTypeAlias); | ||
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| const auto& bias = Inputs().size() > 1 ? shader.AddInput("bias", | ||
| ToProgramVariableDataType(Inputs()[1].tensor->GetElementType(), bias_components_), | ||
| ShaderVariable::UseUniform | ShaderVariable::UseShapeAndStride) | ||
| : input; | ||
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| const auto& output = shader.AddOutput("output", | ||
| ToProgramVariableDataType(Outputs()[0].tensor->GetElementType(), 4), | ||
| ShaderVariable::UseUniform); | ||
| const std::string& get_bias = bias_components_ == 1 ? "let x_offset = global_idx * 4;\nlet bias = input_value_t(" + bias.GetByOffset("x_offset % uniforms.bias_shape") + ", " + bias.GetByOffset("(x_offset + 1) % uniforms.bias_shape") + ", " + bias.GetByOffset("(x_offset + 2) % uniforms.bias_shape") + ", " + bias.GetByOffset("(x_offset + 3) % uniforms.bias_shape") + ") " : " let bias = " + bias.GetByOffset(" global_idx % uniforms.bias_shape "); | ||
| const std::string& add_bias = Inputs().size() > 1 ? get_bias + ";\n x += bias;\n" : ""; | ||
| shader.MainFunctionBody(shader.GuardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size"), | ||
| "var x = ", input.GetByOffset("global_idx"), ";\n", add_bias, | ||
| "let y = x * (0.5 + 0.5 * tanh(x * (0.035677408136300125 * x * x + 0.7978845608028654)));\n", | ||
| output.SetByOffset("global_idx", "y")); | ||
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| return Status::OK(); | ||
| } | ||
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| Status FastGelu::ComputeInternal(onnxruntime::webgpu::ComputeContext& context) const { | ||
| const auto* input = context.Input(0); | ||
| const auto* bias = context.Input(1); | ||
| auto* output = context.Output(0, input->Shape()); | ||
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| uint32_t data_size = SafeInt<uint32_t>(output->Shape().Size()); | ||
| if (data_size == 0) { | ||
| return Status::OK(); | ||
| } | ||
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| const auto vec_size = (data_size + 3) / 4; | ||
| uint32_t bias_size = nullptr == bias ? 0 : SafeInt<uint32_t>(bias->Shape().Size()); | ||
| int bias_components = 1; | ||
| if (bias != nullptr && bias_size % 4 == 0) { | ||
| bias_components = 4; | ||
| bias_size = bias_size / 4; | ||
| } | ||
| FastGeluProgram program{"FastGelu", bias_components}; | ||
| if (nullptr == bias) { | ||
| program.Inputs({{input, ProgramTensorMetadataDependency::Type, {vec_size}}}); | ||
| } else { | ||
| program.Inputs({{input, ProgramTensorMetadataDependency::Type, {{vec_size}}}, {bias, ProgramTensorMetadataDependency::TypeAndRank, {bias_size}}}); | ||
| } | ||
| program | ||
| .Outputs({{output, ProgramTensorMetadataDependency::None, {vec_size}}}) | ||
| .DispatchGroupSize((vec_size + WORKGROUP_SIZE - 1) / WORKGROUP_SIZE) | ||
| .UniformVariables({{vec_size}}) | ||
| .CacheHint(std::to_string(bias_components)); | ||
| return context.RunProgram(program); | ||
| } | ||
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| } // namespace webgpu | ||
| } // namespace contrib | ||
| } // namespace onnxruntime |
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,37 @@ | ||
| // 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/program.h" | ||
| #include "core/providers/webgpu/webgpu_kernel.h" | ||
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| namespace onnxruntime { | ||
| namespace contrib { | ||
| namespace webgpu { | ||
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| using namespace onnxruntime::webgpu; | ||
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| class FastGeluProgram final : public Program<FastGeluProgram> { | ||
| public: | ||
| FastGeluProgram(const std::string& kernel_name, int bias_components) : Program{kernel_name}, bias_components_{bias_components} { | ||
| } | ||
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| Status GenerateShaderCode(ShaderHelper& sh) const override; | ||
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| WEBGPU_PROGRAM_DEFINE_UNIFORM_VARIABLES({"vec_size", ProgramUniformVariableDataType::Uint32}); | ||
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| private: | ||
| int bias_components_; | ||
| }; | ||
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| class FastGelu final : public WebGpuKernel { | ||
| public: | ||
| FastGelu(const OpKernelInfo& info) : WebGpuKernel(info) {} | ||
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| Status ComputeInternal(onnxruntime::webgpu::ComputeContext& context) const override; | ||
| }; | ||
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| } // namespace webgpu | ||
| } // namespace contrib | ||
| } // namespace onnxruntime |
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