onnxruntime/cmake/onnxruntime_providers_webgpu.cmake
Yulong Wang 7a8fa12850
Add implementation of WebGPU EP (#22591)
### Description

This PR adds the actual implementation of the WebGPU EP based on
https://github.com/microsoft/onnxruntime/pull/22318.

This change includes the following:

<details>
<summary><b>core framework of WebGPU EP</b></summary>

  - WebGPU EP factory classes for:
    - handling WebGPU options
    - creating WebGPU EP instance
    - creating WebGPU context
  - WebGPU Execution Provider classes
    - GPU Buffer allocator
    - data transfer
  - Buffer management classes
    - Buffer Manager
    - BufferCacheManager
      - DisabledCacheManager
      - SimpleCacheManager
      - LazyReleaseCacheManager
      - BucketCacheManager
  - Program classes
    - Program (base)
    - Program Cache Key
    - Program Manager
  - Shader helper classes
    - Shader Helper
    - ShaderIndicesHelper
    - ShaderVariableHelper
  - Utils
    - GPU Query based profiler
    - compute context
    - string utils
  - Miscs
    - Python binding webgpu support (basic)
 
</details>

<details>
<summary><b>Kernel implementation</b></summary>


  - onnx.ai (default opset):
- Elementwise (math): Abs, Neg, Floor, Ceil, Reciprocal, Sqrt, Exp, Erf,
Log, Sin, Cos, Tan, Asin, Acos, Atan, Sinh, Cosh, Asinh, Acosh, Atanh,
Tanh, Not, Cast
- Elementwise (activation): Sigmoid, HardSigmoid, Clip, Elu, Relu,
LeakyRelu, ThresholdedRelu, Gelu
- Binary (math): Add, Sub, Mul, Div, Pow, Equal, Greater,
GreaterOrEqual, Less, LessOrEqual
    - (Tensors): Shape, Reshape, Squeeze, Unsqueeze
    - Where
    - Transpose
    - Concat
    - Expand
    - Gather
    - Tile
    - Range
    - LayerNormalization
  - com.microsoft
    - FastGelu
    - MatMulNBits
    - MultiHeadAttention
    - RotaryEmbedding
    - SkipLayerNormalization
    - LayerNormalization
    - SimplifiedLayerNormalization
    - SkipSimplifiedLayerNormalization

</details>

<details>
<summary><b>Build, test and CI pipeline integration</b></summary>

  - build works for Windows, macOS and iOS
  - support onnxruntime_test_all and python node test
  - added a new unit test for `--use_external_dawn` build flag.
  - updated MacOS pipeline to build with WebGPU support
  - added a new pipeline for WebGPU Windows

</details>

This change does not include:

- Node.js binding support for WebGPU (will be a separate PR)
2024-10-29 18:29:40 -07:00

30 lines
1.5 KiB
CMake

# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
if (onnxruntime_MINIMAL_BUILD AND NOT onnxruntime_EXTENDED_MINIMAL_BUILD)
message(FATAL_ERROR "WebGPU EP can not be used in a basic minimal build. Please build with '--minimal_build extended'")
endif()
add_compile_definitions(USE_WEBGPU=1)
if (onnxruntime_ENABLE_WEBASSEMBLY_THREADS)
add_definitions(-DENABLE_WEBASSEMBLY_THREADS=1)
endif()
file(GLOB_RECURSE onnxruntime_providers_webgpu_cc_srcs CONFIGURE_DEPENDS
"${ONNXRUNTIME_ROOT}/core/providers/webgpu/*.h"
"${ONNXRUNTIME_ROOT}/core/providers/webgpu/*.cc"
)
if(NOT onnxruntime_DISABLE_CONTRIB_OPS)
source_group(TREE ${ONNXRUNTIME_ROOT} FILES ${onnxruntime_webgpu_contrib_ops_cc_srcs})
list(APPEND onnxruntime_providers_webgpu_cc_srcs ${onnxruntime_webgpu_contrib_ops_cc_srcs})
endif()
source_group(TREE ${REPO_ROOT} FILES ${onnxruntime_providers_webgpu_cc_srcs})
onnxruntime_add_static_library(onnxruntime_providers_webgpu ${onnxruntime_providers_webgpu_cc_srcs})
onnxruntime_add_include_to_target(onnxruntime_providers_webgpu
onnxruntime_common dawn::dawncpp_headers dawn::dawn_headers onnx onnx_proto flatbuffers::flatbuffers Boost::mp11 safeint_interface)
if (NOT onnxruntime_USE_EXTERNAL_DAWN)
target_link_libraries(onnxruntime_providers_webgpu dawn::dawn_native)
endif()
target_link_libraries(onnxruntime_providers_webgpu dawn::dawn_proc)
set_target_properties(onnxruntime_providers_webgpu PROPERTIES FOLDER "ONNXRuntime")