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【Inference】Support OpenVINO CPU High-Performance Inference by ckl117 · Pull Request #69122 · PaddlePaddle/Paddle · GitHub
ckl117
requested review from
risemeup1,
zhangbo9674 and
XieYunshen
as code owners
November 21, 2024 08:47
ckl117
changed the title
第三方库接入OpenVINO
【Inference】Support OpenVINO CPU high-performance inference
Dec 10, 2024
ckl117
changed the title
【Inference】Support OpenVINO CPU high-performance inference
【Inference】Support OpenVINO CPU High-Performance Inference
Dec 13, 2024
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你的PR提交成功，感谢你对开源项目的贡献! |
support openvino run in paddle
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ckl117
requested review from
risemeup1,
zhangbo9674 and
XieYunshen
as code owners
yuanlehome
previously approved these changes
Dec 9, 2024
ckl117
changed the title
qingqing01
reviewed
Dec 10, 2024
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- CPU whl包、SDK库增加的体积也给下吧
- 单测需要更加完善下，增加Python端测试以及无法转成功的case。
| @@ -213,12 +213,6 @@ void LoadCombineKernel(const Context& dev_ctx, | |||
| auto filename = file_path; | |||
| auto out_var_names = out; | |||
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| PADDLE_ENFORCE_GT(out_var_names.size(), | |||
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去掉这里check的原因是？
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openvino_subgraph_pass会将所有参数全部删掉，在使用config.use_optimized_model(True)时会加载一个空的pdiparams文件。
| @@ -62,13 +62,6 @@ void SerializeCombineTensor(const Context& dev_ctx, | |||
| const std::vector<const phi::DenseTensor*>& x, | |||
| bool save_as_fp16, | |||
| std::ostream& ss) { | |||
| PADDLE_ENFORCE_GT(x.size(), | |||
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去掉这里check的原因是？
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同上
| @@ -0,0 +1,578 @@ | |||
| diff --git a/src/frontends/paddle/src/default_opset.hpp b/src/frontends/paddle/src/default_opset.hpp | |||
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OpenVINO官方仓库代码合入后，此patch还是去掉吧
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好的。后续等OpenVINO官方合入后再删吧
ckl117
commented
Dec 10, 2024
| @@ -4165,18 +4167,19 @@ function run_setup(){ | |||
| echo "if you use setup.py to compile,please export envs as following in /paddle ..." | |||
| cat << EOF | |||
| ======================================== | |||
| export CMAKE_BUILD_TYPE=${CMAKE_BUILD_TYPE:-Release} WITH_GPU=${WITH_GPU:-OFF} WITH_SHARED_PHI=${WITH_SHARED_PHI:-OFF} WITH_TENSORRT=${WITH_TENSORRT:-ON} WITH_ROCM=${WITH_ROCM:-OFF} WITH_CINN=${WITH_CINN:-OFF} WITH_DISTRIBUTE=${distibuted_flag} WITH_MKL=${WITH_MKL:-ON} WITH_AVX=${WITH_AVX:-OFF} CUDA_ARCH_NAME=${CUDA_ARCH_NAME:-All} NEW_RELEASE_PYPI=${NEW_RELEASE_PYPI:-OFF} NEW_RELEASE_ALL=${NEW_RELEASE_ALL:-OFF} NEW_RELEASE_JIT=${NEW_RELEASE_JIT:-OFF} WITH_PYTHON=${WITH_PYTHON:-ON} CUDNN_ROOT=/usr/ WITH_TESTING=${WITH_TESTING:-ON} WITH_COVERAGE=${WITH_COVERAGE:-OFF} WITH_INCREMENTAL_COVERAGE=${WITH_INCREMENTAL_COVERAGE:-OFF} CMAKE_MODULE_PATH=/opt/rocm/hip/cmake CMAKE_EXPORT_COMPILE_COMMANDS=ON WITH_INFERENCE_API_TEST=${WITH_INFERENCE_API_TEST:-ON} INFERENCE_DEMO_INSTALL_DIR=${INFERENCE_DEMO_INSTALL_DIR} PY_VERSION=${PY_VERSION:-3.8} CMAKE_INSTALL_PREFIX=${INSTALL_PREFIX:-/paddle/build} WITH_PSCORE=${pscore_flag} WITH_PSLIB=${pslib_flag} WITH_GLOO=${gloo_flag} WITH_XPU=${WITH_XPU:-OFF} WITH_IPU=${WITH_IPU:-OFF} XPU_SDK_ROOT=${XPU_SDK_ROOT:-""} WITH_XPU_BKCL=${WITH_XPU_BKCL:-OFF} -WITH_XPU_XRE5=${WITH_XPU_XRE5:-OFF} WITH_ARM=${WITH_ARM:-OFF} WITH_STRIP=${WITH_STRIP:-ON} ON_INFER=${ON_INFER:-OFF} WITH_HETERPS=${WITH_HETERPS:-OFF} CUDA_ARCH_BIN=${CUDA_ARCH_BIN} WITH_RECORD_BUILDTIME=${WITH_RECORD_BUILDTIME:-OFF} WITH_UNITY_BUILD=${WITH_UNITY_BUILD:-OFF} WITH_ONNXRUNTIME=${WITH_ONNXRUNTIME:-OFF} WITH_CUDNN_FRONTEND=${WITH_CUDNN_FRONTEND:-OFF} -DWITH_CPP_TEST=${WITH_CPP_TEST:-OFF} | |||
| export CMAKE_BUILD_TYPE=${CMAKE_BUILD_TYPE:-Release} WITH_GPU=${WITH_GPU:-OFF} WITH_SHARED_PHI=${WITH_SHARED_PHI:-OFF} WITH_TENSORRT=${WITH_TENSORRT:-ON} WITH_OPENVINO=${WITH_OPENVINO:-ON} WITH_ROCM=${WITH_ROCM:-OFF} WITH_CINN=${WITH_CINN:-OFF} WITH_DISTRIBUTE=${distibuted_flag} WITH_MKL=${WITH_MKL:-ON} WITH_AVX=${WITH_AVX:-OFF} CUDA_ARCH_NAME=${CUDA_ARCH_NAME:-All} NEW_RELEASE_PYPI=${NEW_RELEASE_PYPI:-OFF} NEW_RELEASE_ALL=${NEW_RELEASE_ALL:-OFF} NEW_RELEASE_JIT=${NEW_RELEASE_JIT:-OFF} WITH_PYTHON=${WITH_PYTHON:-ON} CUDNN_ROOT=/usr/ WITH_TESTING=${WITH_TESTING:-ON} WITH_COVERAGE=${WITH_COVERAGE:-OFF} WITH_INCREMENTAL_COVERAGE=${WITH_INCREMENTAL_COVERAGE:-OFF} CMAKE_MODULE_PATH=/opt/rocm/hip/cmake CMAKE_EXPORT_COMPILE_COMMANDS=ON WITH_INFERENCE_API_TEST=${WITH_INFERENCE_API_TEST:-ON} INFERENCE_DEMO_INSTALL_DIR=${INFERENCE_DEMO_INSTALL_DIR} PY_VERSION=${PY_VERSION:-3.8} CMAKE_INSTALL_PREFIX=${INSTALL_PREFIX:-/paddle/build} WITH_PSCORE=${pscore_flag} WITH_PSLIB=${pslib_flag} WITH_GLOO=${gloo_flag} WITH_XPU=${WITH_XPU:-OFF} WITH_IPU=${WITH_IPU:-OFF} XPU_SDK_ROOT=${XPU_SDK_ROOT:-""} WITH_XPU_BKCL=${WITH_XPU_BKCL:-OFF} -WITH_XPU_XRE5=${WITH_XPU_XRE5:-OFF} WITH_ARM=${WITH_ARM:-OFF} WITH_STRIP=${WITH_STRIP:-ON} ON_INFER=${ON_INFER:-OFF} WITH_HETERPS=${WITH_HETERPS:-OFF} CUDA_ARCH_BIN=${CUDA_ARCH_BIN} WITH_RECORD_BUILDTIME=${WITH_RECORD_BUILDTIME:-OFF} WITH_UNITY_BUILD=${WITH_UNITY_BUILD:-OFF} WITH_ONNXRUNTIME=${WITH_ONNXRUNTIME:-OFF} WITH_CUDNN_FRONTEND=${WITH_CUDNN_FRONTEND:-OFF} -DWITH_CPP_TEST=${WITH_CPP_TEST:-OFF} | |||
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CPU单测流水线增加OpenVINO
ckl117
commented
Dec 10, 2024
| ======================================== | ||
| EOF | ||
| echo "if you use cmake to compile,please Configuring cmake in /paddle/build ..." | ||
| cat <<EOF | ||
| ======================================== | ||
| cmake .. -DCMAKE_BUILD_TYPE=${CMAKE_BUILD_TYPE:-Release} -DWITH_GPU=${WITH_GPU:-OFF} -DWITH_SHARED_PHI=${WITH_SHARED_PHI:-OFF} -DWITH_TENSORRT=${WITH_TENSORRT:-ON} -DWITH_ROCM=${WITH_ROCM:-OFF} -DWITH_CINN=${WITH_CINN:-OFF} -DWITH_DISTRIBUTE=${distibuted_flag} -DWITH_MKL=${WITH_MKL:-ON} -DWITH_AVX=${WITH_AVX:-OFF} -DCUDA_ARCH_NAME=${CUDA_ARCH_NAME:-All} -DNEW_RELEASE_PYPI=${NEW_RELEASE_PYPI:-OFF} -DNEW_RELEASE_ALL=${NEW_RELEASE_ALL:-OFF} -DNEW_RELEASE_JIT=${NEW_RELEASE_JIT:-OFF} -DWITH_PYTHON=${WITH_PYTHON:-ON} -DCUDNN_ROOT=/usr/ -DWITH_TESTING=${WITH_TESTING:-ON} -DWITH_COVERAGE=${WITH_COVERAGE:-OFF} -DWITH_INCREMENTAL_COVERAGE=${WITH_INCREMENTAL_COVERAGE:-OFF} -DCMAKE_MODULE_PATH=/opt/rocm/hip/cmake -DCMAKE_EXPORT_COMPILE_COMMANDS=ON -DWITH_INFERENCE_API_TEST=${WITH_INFERENCE_API_TEST:-ON} -DINFERENCE_DEMO_INSTALL_DIR=${INFERENCE_DEMO_INSTALL_DIR} -DPY_VERSION=${PY_VERSION:-3.8} -DCMAKE_INSTALL_PREFIX=${INSTALL_PREFIX:-/paddle/build} -DWITH_PSCORE=${pscore_flag} -DWITH_PSLIB=${pslib_flag} -DWITH_GLOO=${gloo_flag} -DWITH_XPU=${WITH_XPU:-OFF} -DWITH_IPU=${WITH_IPU:-OFF} -DXPU_SDK_ROOT=${XPU_SDK_ROOT:-""} -DWITH_XPU_BKCL=${WITH_XPU_BKCL:-OFF} -DWITH_XPU_XRE5=${WITH_XPU_XRE5:-OFF} -DWITH_ARM=${WITH_ARM:-OFF} -DWITH_STRIP=${WITH_STRIP:-ON} -DON_INFER=${ON_INFER:-OFF} -DWITH_HETERPS=${WITH_HETERPS:-OFF} -DCUDA_ARCH_BIN=${CUDA_ARCH_BIN} -DWITH_RECORD_BUILDTIME=${WITH_RECORD_BUILDTIME:-OFF} -DWITH_UNITY_BUILD=${WITH_UNITY_BUILD:-OFF} -DWITH_ONNXRUNTIME=${WITH_ONNXRUNTIME:-OFF} -DWITH_CUDNN_FRONTEND=${WITH_CUDNN_FRONTEND:-OFF} -DWITH_CPP_TEST=${WITH_CPP_TEST:-OFF} | ||
| cmake .. -DCMAKE_BUILD_TYPE=${CMAKE_BUILD_TYPE:-Release} -DWITH_GPU=${WITH_GPU:-OFF} -DWITH_SHARED_PHI=${WITH_SHARED_PHI:-OFF} -DWITH_TENSORRT=${WITH_TENSORRT:-ON} -DWITH_OPENVINO=${WITH_OPENVINO:-ON} -DWITH_ROCM=${WITH_ROCM:-OFF} -DWITH_CINN=${WITH_CINN:-OFF} -DWITH_DISTRIBUTE=${distibuted_flag} -DWITH_MKL=${WITH_MKL:-ON} -DWITH_AVX=${WITH_AVX:-OFF} -DCUDA_ARCH_NAME=${CUDA_ARCH_NAME:-All} -DNEW_RELEASE_PYPI=${NEW_RELEASE_PYPI:-OFF} -DNEW_RELEASE_ALL=${NEW_RELEASE_ALL:-OFF} -DNEW_RELEASE_JIT=${NEW_RELEASE_JIT:-OFF} -DWITH_PYTHON=${WITH_PYTHON:-ON} -DCUDNN_ROOT=/usr/ -DWITH_TESTING=${WITH_TESTING:-ON} -DWITH_COVERAGE=${WITH_COVERAGE:-OFF} -DWITH_INCREMENTAL_COVERAGE=${WITH_INCREMENTAL_COVERAGE:-OFF} -DCMAKE_MODULE_PATH=/opt/rocm/hip/cmake -DCMAKE_EXPORT_COMPILE_COMMANDS=ON -DWITH_INFERENCE_API_TEST=${WITH_INFERENCE_API_TEST:-ON} -DINFERENCE_DEMO_INSTALL_DIR=${INFERENCE_DEMO_INSTALL_DIR} -DPY_VERSION=${PY_VERSION:-3.8} -DCMAKE_INSTALL_PREFIX=${INSTALL_PREFIX:-/paddle/build} -DWITH_PSCORE=${pscore_flag} -DWITH_PSLIB=${pslib_flag} -DWITH_GLOO=${gloo_flag} -DWITH_XPU=${WITH_XPU:-OFF} -DWITH_IPU=${WITH_IPU:-OFF} -DXPU_SDK_ROOT=${XPU_SDK_ROOT:-""} -DWITH_XPU_BKCL=${WITH_XPU_BKCL:-OFF} -DWITH_XPU_XRE5=${WITH_XPU_XRE5:-OFF} -DWITH_ARM=${WITH_ARM:-OFF} -DWITH_STRIP=${WITH_STRIP:-ON} -DON_INFER=${ON_INFER:-OFF} -DWITH_HETERPS=${WITH_HETERPS:-OFF} -DCUDA_ARCH_BIN=${CUDA_ARCH_BIN} -DWITH_RECORD_BUILDTIME=${WITH_RECORD_BUILDTIME:-OFF} -DWITH_UNITY_BUILD=${WITH_UNITY_BUILD:-OFF} -DWITH_ONNXRUNTIME=${WITH_ONNXRUNTIME:-OFF} -DWITH_CUDNN_FRONTEND=${WITH_CUDNN_FRONTEND:-OFF} -DWITH_CPP_TEST=${WITH_CPP_TEST:-OFF} |
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CPU单测流水线增加OpenVINO
update binding input/output by index
whl包增加23MB，SDK库增加75MB。 |
ckl117
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LGTM
risemeup1
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LGTM
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LGTM
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…addlePaddle#69122)" This reverts commit 9675759.
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PR Category
Performance Optimization
PR Types
New features
Description
Pcard-71500
增加WITH_OPENVINO=ON选项接入OpenVINO第三方库；
增加openvino_subgraph_pass实现全图转OpenVINO；
支持openvino engine缓存和设置推理线程数(复用set_cpu_math_library_num_threads()方法)；
whl包增加23MB，SDK库增加75MB
文档PR
PaddlePaddle/Paddle-Inference-Demo#543
Python API
部分模型测试
