[WebGPU EP] introduce BiasAdd contrib op (#23861)

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

Author: prathikr

onnxruntime/contrib_ops/webgpu/bert/bias_add.cc

@@ -0,0 +1,80 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+#include "core/providers/webgpu/shader_helper.h"
+#include "core/providers/webgpu/webgpu_supported_types.h"
+#include "contrib_ops/webgpu/bert/bias_add.h"
+#include "contrib_ops/webgpu/webgpu_contrib_kernels.h"
+
+namespace onnxruntime {
+namespace contrib {
+namespace webgpu {
+
+ONNX_OPERATOR_KERNEL_EX(
+    BiasAdd,
+    kMSDomain,
+    1,
+    kWebGpuExecutionProvider,
+    (*KernelDefBuilder::Create())
+        .TypeConstraint("T", WebGpuSupportedFloatTypes()),
+    BiasAdd);
+
+Status BiasAddProgram::GenerateShaderCode(ShaderHelper& shader) const {
+  const ShaderVariableHelper& input = shader.AddInput("input");
+  const ShaderVariableHelper& bias = shader.AddInput("bias");
+  const ShaderVariableHelper& residual = shader.AddInput("residual");
+  const ShaderVariableHelper& output = shader.AddOutput("output");
+
+  shader.MainFunctionBody() << shader.GuardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")
+                            << "let value = " << input.GetByOffset("global_idx")
+                            << "  + " << bias.GetByOffset("global_idx % uniforms.channels")
+                            << "  + " << residual.GetByOffset("global_idx") << ";\n"
+                            << output.SetByOffset("global_idx", "value");
+
+  return Status::OK();
+}
+
+static int64_t GetMaxComponents(int64_t size) {
+  if (size % 4 == 0) {
+    return 4;
+  } else if (size % 2 == 0) {
+    return 2;
+  }
+  return 1;
+}
+
+Status BiasAdd::ComputeInternal(onnxruntime::webgpu::ComputeContext& context) const {
+  const auto* input = context.Input(0);
+  const auto* bias = context.Input(1);
+  const auto* residual = context.Input(2);
+
+  TensorShape input_shape = input->Shape();
+
+  if (input_shape.NumDimensions() != 3) {
+    return ORT_MAKE_STATUS(ONNXRUNTIME, INVALID_ARGUMENT, "BiasAdd input should have 3 dimensions.");
+  }
+
+  int64_t channels = input_shape[2];
+  int64_t components = GetMaxComponents(channels);
+  channels /= components;
+
+  TensorShape bias_shape = bias->Shape();
+  if (bias_shape.NumDimensions() != 1 || bias_shape[0] != channels) {
+    return ORT_MAKE_STATUS(ONNXRUNTIME, INVALID_ARGUMENT, "BiasAdd bias should have 1 dimension with size equal to the number of channels.");
+  }
+
+  auto* output = context.Output(0, input_shape);
+  int64_t output_size = output->Shape().Size() / components;
+
+  BiasAddProgram program{};
+  program.AddInputs({{input}, {bias}, {residual}})
+      .AddOutput({output})
+      .SetDispatchGroupSize((output_size + WORKGROUP_SIZE - 1) / WORKGROUP_SIZE)
+      .AddUniformVariables({{static_cast<uint32_t>(output_size)},
+                            {static_cast<uint32_t>(channels)}});
+  return context.RunProgram(program);
+}
+
+}  // namespace webgpu
+}  // namespace contrib
+}  // namespace onnxruntime

onnxruntime/contrib_ops/webgpu/bert/bias_add.h

@@ -0,0 +1,32 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+#pragma once
+
+#include "core/providers/webgpu/program.h"
+#include "core/providers/webgpu/webgpu_kernel.h"
+
+namespace onnxruntime {
+namespace contrib {
+namespace webgpu {
+
+using namespace onnxruntime::webgpu;
+using onnxruntime::webgpu::ComputeContext;
+
+class BiasAddProgram final : public Program<BiasAddProgram> {
+ public:
+  BiasAddProgram() : Program{"BiasAdd"} {}
+  Status GenerateShaderCode(ShaderHelper& sh) const override;
+  WEBGPU_PROGRAM_DEFINE_UNIFORM_VARIABLES({"output_size", ProgramUniformVariableDataType::Uint32},
+                                          {"channels", ProgramUniformVariableDataType::Uint32});
+};
+
+class BiasAdd final : public WebGpuKernel {
+ public:
+  BiasAdd(const OpKernelInfo& info) : WebGpuKernel(info) {}
+  Status ComputeInternal(ComputeContext& context) const override;
+};
+
+}  // namespace webgpu
+}  // namespace contrib
+}  // namespace onnxruntime

onnxruntime/contrib_ops/webgpu/webgpu_contrib_kernels.cc

@@ -37,8 +37,8 @@ Status RegisterWebGpuContribKernels(KernelRegistry& kernel_registry) {
   static const BuildKernelCreateInfoFn function_table[] = {
       BuildKernelCreateInfo<void>,  // default entry to avoid the list become empty after ops-reducing
                                     // BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kWebGpuExecutionProvider, kMSDomain, 1, Attention)>,
-                                    // BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kWebGpuExecutionProvider, kMSDomain, 1, BiasAdd)>,
-                                    // BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kWebGpuExecutionProvider, kMSDomain, 1, BiasSplitGelu)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kWebGpuExecutionProvider, kMSDomain, 1, BiasAdd)>,
+      // BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kWebGpuExecutionProvider, kMSDomain, 1, BiasSplitGelu)>,
       BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kWebGpuExecutionProvider, kMSDomain, 1, FastGelu)>,
       // BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kWebGpuExecutionProvider, kMSDomain, 1, FusedConv)>,
       // BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kWebGpuExecutionProvider, kMSDomain, 1, Gelu)>,