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Merge pull request #24068 from TolyaTalamanov:at/add-onnx-coreml-execution-provider
G-API: Support CoreML Execution Providers for ONNXRT Backend #24068 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [ ] I agree to contribute to the project under Apache 2 License. - [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [ ] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake
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@ -32,6 +32,14 @@ if(ORT_LIB AND ORT_INCLUDE)
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HAVE_ONNX_DML
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)
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# Check CoreML Execution Provider availability
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get_filename_component(coreml_dir ${ONNXRT_ROOT_DIR}/include/onnxruntime/core/providers/coreml ABSOLUTE)
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detect_onxxrt_ep(
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coreml_provider_factory.h
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${coreml_dir}
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HAVE_ONNX_COREML
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)
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set(HAVE_ONNX TRUE)
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# For CMake output only
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set(ONNX_LIBRARIES "${ORT_LIB}" CACHE STRING "ONNX Runtime libraries")
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@ -165,6 +165,7 @@ set(gapi_srcs
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# ONNX backend
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src/backends/onnx/gonnxbackend.cpp
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src/backends/onnx/dml_ep.cpp
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src/backends/onnx/coreml_ep.cpp
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# Render backend
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src/backends/render/grenderocv.cpp
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@ -39,6 +39,9 @@ public:
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GAPI_WRAP
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PyParams& cfgAddExecutionProvider(ep::DirectML ep);
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GAPI_WRAP
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PyParams& cfgAddExecutionProvider(ep::CoreML ep);
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GAPI_WRAP
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PyParams& cfgAddExecutionProvider(ep::CUDA ep);
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@ -32,6 +32,65 @@ namespace onnx {
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*/
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namespace ep {
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/**
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* @brief This structure provides functions
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* that fill inference options for ONNX CoreML Execution Provider.
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* Please follow https://onnxruntime.ai/docs/execution-providers/CoreML-ExecutionProvider.html#coreml-execution-provider
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*/
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struct GAPI_EXPORTS_W_SIMPLE CoreML {
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/** @brief Class constructor.
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Constructs CoreML parameters.
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*/
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GAPI_WRAP
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CoreML() = default;
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/** @brief Limit CoreML Execution Provider to run on CPU only.
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This function is used to limit CoreML to run on CPU only.
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Please follow: https://onnxruntime.ai/docs/execution-providers/CoreML-ExecutionProvider.html#coreml_flag_use_cpu_only
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@return reference to this parameter structure.
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*/
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GAPI_WRAP
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CoreML& cfgUseCPUOnly() {
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use_cpu_only = true;
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return *this;
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}
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/** @brief Enable CoreML EP to run on a subgraph in the body of a control flow ONNX operator (i.e. a Loop, Scan or If operator).
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This function is used to enable CoreML EP to run on
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a subgraph of a control flow of ONNX operation.
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Please follow: https://onnxruntime.ai/docs/execution-providers/CoreML-ExecutionProvider.html#coreml_flag_enable_on_subgraph
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@return reference to this parameter structure.
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*/
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GAPI_WRAP
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CoreML& cfgEnableOnSubgraph() {
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enable_on_subgraph = true;
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return *this;
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}
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/** @brief Enable CoreML EP to run only on Apple Neural Engine.
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This function is used to enable CoreML EP to run only on Apple Neural Engine.
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Please follow: https://onnxruntime.ai/docs/execution-providers/CoreML-ExecutionProvider.html#coreml_flag_only_enable_device_with_ane
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@return reference to this parameter structure.
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*/
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GAPI_WRAP
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CoreML& cfgEnableOnlyNeuralEngine() {
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enable_only_ane = true;
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return *this;
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}
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bool use_cpu_only = false;
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bool enable_on_subgraph = false;
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bool enable_only_ane = false;
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};
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/**
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* @brief This structure provides functions
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* that fill inference options for CUDA Execution Provider.
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@ -205,6 +264,7 @@ public:
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using EP = cv::util::variant< cv::util::monostate
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, OpenVINO
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, DirectML
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, CoreML
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, CUDA
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, TensorRT>;
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@ -496,6 +556,20 @@ public:
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/** @brief Adds execution provider for runtime.
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The function is used to add ONNX Runtime CoreML Execution Provider options.
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@param ep CoreML Execution Provider options.
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@see cv::gapi::onnx::ep::CoreML.
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@return the reference on modified object.
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*/
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Params<Net>& cfgAddExecutionProvider(ep::CoreML&& ep) {
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desc.execution_providers.emplace_back(std::move(ep));
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return *this;
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}
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/** @brief Adds execution provider for runtime.
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The function is used to add ONNX Runtime CUDA Execution Provider options.
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@param ep CUDA Execution Provider options.
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@ -582,6 +656,11 @@ public:
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desc.execution_providers.emplace_back(std::move(ep));
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}
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/** @see onnx::Params::cfgAddExecutionProvider. */
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void cfgAddExecutionProvider(ep::CoreML&& ep) {
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desc.execution_providers.emplace_back(std::move(ep));
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}
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/** @see onnx::Params::cfgAddExecutionProvider. */
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void cfgAddExecutionProvider(ep::CUDA&& ep) {
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desc.execution_providers.emplace_back(std::move(ep));
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@ -31,6 +31,7 @@ using map_string_and_vector_float = std::map<std::string, std::vector<float>>;
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using map_int_and_double = std::map<int, double>;
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using ep_OpenVINO = cv::gapi::onnx::ep::OpenVINO;
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using ep_DirectML = cv::gapi::onnx::ep::DirectML;
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using ep_CoreML = cv::gapi::onnx::ep::CoreML;
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using ep_CUDA = cv::gapi::onnx::ep::CUDA;
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using ep_TensorRT = cv::gapi::onnx::ep::TensorRT;
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@ -33,6 +33,12 @@ cv::gapi::onnx::PyParams::cfgAddExecutionProvider(cv::gapi::onnx::ep::DirectML e
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return *this;
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}
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cv::gapi::onnx::PyParams&
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cv::gapi::onnx::PyParams::cfgAddExecutionProvider(cv::gapi::onnx::ep::CoreML ep) {
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m_priv->cfgAddExecutionProvider(std::move(ep));
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return *this;
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}
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cv::gapi::onnx::PyParams&
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cv::gapi::onnx::PyParams::cfgAddExecutionProvider(cv::gapi::onnx::ep::CUDA ep) {
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m_priv->cfgAddExecutionProvider(std::move(ep));
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50
modules/gapi/src/backends/onnx/coreml_ep.cpp
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50
modules/gapi/src/backends/onnx/coreml_ep.cpp
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@ -0,0 +1,50 @@
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// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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//
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// Copyright (C) 2023 Intel Corporation
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#include "backends/onnx/coreml_ep.hpp"
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#include "logger.hpp"
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#ifdef HAVE_ONNX
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#include <onnxruntime_cxx_api.h>
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#ifdef HAVE_ONNX_COREML
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#include "../providers/coreml/coreml_provider_factory.h"
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void cv::gimpl::onnx::addCoreMLExecutionProvider(Ort::SessionOptions *session_options,
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const cv::gapi::onnx::ep::CoreML &coreml_ep) {
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uint32_t flags = 0u;
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if (coreml_ep.use_cpu_only) {
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flags |= COREML_FLAG_USE_CPU_ONLY;
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}
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if (coreml_ep.enable_on_subgraph) {
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flags |= COREML_FLAG_ENABLE_ON_SUBGRAPH;
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}
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if (coreml_ep.enable_only_ane) {
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flags |= COREML_FLAG_ONLY_ENABLE_DEVICE_WITH_ANE;
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}
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try {
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OrtSessionOptionsAppendExecutionProvider_CoreML(*session_options, flags);
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} catch (const std::exception &e) {
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std::stringstream ss;
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ss << "ONNX Backend: Failed to enable CoreML"
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<< " Execution Provider: " << e.what();
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cv::util::throw_error(std::runtime_error(ss.str()));
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}
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}
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#else // HAVE_ONNX_COREML
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void cv::gimpl::onnx::addCoreMLExecutionProvider(Ort::SessionOptions*,
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const cv::gapi::onnx::ep::CoreML&) {
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util::throw_error(std::runtime_error("G-API has been compiled with ONNXRT"
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" without CoreML support"));
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}
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#endif // HAVE_ONNX_COREML
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#endif // HAVE_ONNX
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modules/gapi/src/backends/onnx/coreml_ep.hpp
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modules/gapi/src/backends/onnx/coreml_ep.hpp
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// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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//
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// Copyright (C) 2023 Intel Corporation
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#ifndef OPENCV_GAPI_COREML_EP_HPP
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#define OPENCV_GAPI_COREML_EP_HPP
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#include "opencv2/gapi/infer/onnx.hpp"
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#ifdef HAVE_ONNX
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#include <onnxruntime_cxx_api.h>
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namespace cv {
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namespace gimpl {
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namespace onnx {
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void addCoreMLExecutionProvider(Ort::SessionOptions *session_options,
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const cv::gapi::onnx::ep::CoreML &coreml_ep);
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}}}
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#endif // HAVE_ONNX
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#endif // OPENCV_GAPI_COREML_EP_HPP
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#ifdef HAVE_ONNX
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#include "backends/onnx/dml_ep.hpp"
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#include "backends/onnx/coreml_ep.hpp"
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#include <ade/util/algorithm.hpp> // any_of
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#include <ade/util/zip_range.hpp>
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@ -211,6 +212,12 @@ static void addExecutionProvider(Ort::SessionOptions *session_options,
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addDMLExecutionProvider(session_options, dml_ep);
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break;
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}
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case ep::EP::index_of<ep::CoreML>(): {
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GAPI_LOG_INFO(NULL, "CoreML Execution Provider is added.");
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const auto &coreml_ep = cv::util::get<ep::CoreML>(execution_provider);
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addCoreMLExecutionProvider(session_options, coreml_ep);
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break;
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}
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case ep::EP::index_of<ep::CUDA>(): {
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GAPI_LOG_INFO(NULL, "CUDA Execution Provider is added.");
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const auto &cuda_ep = cv::util::get<ep::CUDA>(execution_provider);
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