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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
This commit is contained in:
Anatoliy Talamanov
2023-12-13 18:22:15 +00:00
committed by GitHub
parent 14688e95ea
commit 9a47e1764a
9 changed files with 178 additions and 0 deletions
@@ -39,6 +39,9 @@ public:
GAPI_WRAP
PyParams& cfgAddExecutionProvider(ep::DirectML ep);
GAPI_WRAP
PyParams& cfgAddExecutionProvider(ep::CoreML ep);
GAPI_WRAP
PyParams& cfgAddExecutionProvider(ep::CUDA ep);
@@ -32,6 +32,65 @@ namespace onnx {
*/
namespace ep {
/**
* @brief This structure provides functions
* that fill inference options for ONNX CoreML Execution Provider.
* Please follow https://onnxruntime.ai/docs/execution-providers/CoreML-ExecutionProvider.html#coreml-execution-provider
*/
struct GAPI_EXPORTS_W_SIMPLE CoreML {
/** @brief Class constructor.
Constructs CoreML parameters.
*/
GAPI_WRAP
CoreML() = default;
/** @brief Limit CoreML Execution Provider to run on CPU only.
This function is used to limit CoreML to run on CPU only.
Please follow: https://onnxruntime.ai/docs/execution-providers/CoreML-ExecutionProvider.html#coreml_flag_use_cpu_only
@return reference to this parameter structure.
*/
GAPI_WRAP
CoreML& cfgUseCPUOnly() {
use_cpu_only = true;
return *this;
}
/** @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).
This function is used to enable CoreML EP to run on
a subgraph of a control flow of ONNX operation.
Please follow: https://onnxruntime.ai/docs/execution-providers/CoreML-ExecutionProvider.html#coreml_flag_enable_on_subgraph
@return reference to this parameter structure.
*/
GAPI_WRAP
CoreML& cfgEnableOnSubgraph() {
enable_on_subgraph = true;
return *this;
}
/** @brief Enable CoreML EP to run only on Apple Neural Engine.
This function is used to enable CoreML EP to run only on Apple Neural Engine.
Please follow: https://onnxruntime.ai/docs/execution-providers/CoreML-ExecutionProvider.html#coreml_flag_only_enable_device_with_ane
@return reference to this parameter structure.
*/
GAPI_WRAP
CoreML& cfgEnableOnlyNeuralEngine() {
enable_only_ane = true;
return *this;
}
bool use_cpu_only = false;
bool enable_on_subgraph = false;
bool enable_only_ane = false;
};
/**
* @brief This structure provides functions
* that fill inference options for CUDA Execution Provider.
@@ -205,6 +264,7 @@ public:
using EP = cv::util::variant< cv::util::monostate
, OpenVINO
, DirectML
, CoreML
, CUDA
, TensorRT>;
@@ -496,6 +556,20 @@ public:
/** @brief Adds execution provider for runtime.
The function is used to add ONNX Runtime CoreML Execution Provider options.
@param ep CoreML Execution Provider options.
@see cv::gapi::onnx::ep::CoreML.
@return the reference on modified object.
*/
Params<Net>& cfgAddExecutionProvider(ep::CoreML&& ep) {
desc.execution_providers.emplace_back(std::move(ep));
return *this;
}
/** @brief Adds execution provider for runtime.
The function is used to add ONNX Runtime CUDA Execution Provider options.
@param ep CUDA Execution Provider options.
@@ -582,6 +656,11 @@ public:
desc.execution_providers.emplace_back(std::move(ep));
}
/** @see onnx::Params::cfgAddExecutionProvider. */
void cfgAddExecutionProvider(ep::CoreML&& ep) {
desc.execution_providers.emplace_back(std::move(ep));
}
/** @see onnx::Params::cfgAddExecutionProvider. */
void cfgAddExecutionProvider(ep::CUDA&& ep) {
desc.execution_providers.emplace_back(std::move(ep));