onnxruntime/cmake/onnxruntime_providers_webgpu.cmake

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CMake
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# 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)
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)
2024-10-30 01:29:40 +00:00
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")