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Merge pull request #24059 from TolyaTalamanov:at/add-onnx-cuda-execution-provider

G-API: Support CUDA & TensoRT Execution Providers for ONNXRT Backend #24059

### 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
2023-08-02 12:13:07 +01:00
committed by GitHub
parent 0883c6a913
commit f46f7eff0c
5 changed files with 156 additions and 2 deletions
@@ -39,6 +39,12 @@ public:
GAPI_WRAP
PyParams& cfgAddExecutionProvider(ep::DirectML ep);
GAPI_WRAP
PyParams& cfgAddExecutionProvider(ep::CUDA ep);
GAPI_WRAP
PyParams& cfgAddExecutionProvider(ep::TensorRT ep);
GAPI_WRAP
PyParams& cfgDisableMemPattern();
@@ -32,6 +32,56 @@ namespace onnx {
*/
namespace ep {
/**
* @brief This structure provides functions
* that fill inference options for CUDA Execution Provider.
* Please follow https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#cuda-execution-provider
*/
struct GAPI_EXPORTS_W_SIMPLE CUDA {
// NB: Used from python.
/// @private -- Exclude this constructor from OpenCV documentation
GAPI_WRAP
CUDA() = default;
/** @brief Class constructor.
Constructs CUDA parameters based on device type information.
@param dev_id Target device id to use.
*/
GAPI_WRAP
explicit CUDA(const int dev_id)
: device_id(dev_id) {
}
int device_id;
};
/**
* @brief This structure provides functions
* that fill inference options for TensorRT Execution Provider.
* Please follow https://onnxruntime.ai/docs/execution-providers/TensorRT-ExecutionProvider.html#tensorrt-execution-provider
*/
struct GAPI_EXPORTS_W_SIMPLE TensorRT {
// NB: Used from python.
/// @private -- Exclude this constructor from OpenCV documentation
GAPI_WRAP
TensorRT() = default;
/** @brief Class constructor.
Constructs TensorRT parameters based on device type information.
@param dev_id Target device id to use.
*/
GAPI_WRAP
explicit TensorRT(const int dev_id)
: device_id(dev_id) {
}
int device_id;
};
/**
* @brief This structure provides functions
* that fill inference options for ONNX OpenVINO Execution Provider.
@@ -143,7 +193,11 @@ public:
DeviceDesc ddesc;
};
using EP = cv::util::variant<cv::util::monostate, OpenVINO, DirectML>;
using EP = cv::util::variant< cv::util::monostate
, OpenVINO
, DirectML
, CUDA
, TensorRT>;
} // namespace ep
@@ -431,6 +485,34 @@ public:
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.
@see cv::gapi::onnx::ep::CUDA.
@return the reference on modified object.
*/
Params<Net>& cfgAddExecutionProvider(ep::CUDA&& 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 TensorRT Execution Provider options.
@param ep TensorRT Execution Provider options.
@see cv::gapi::onnx::ep::TensorRT.
@return the reference on modified object.
*/
Params<Net>& cfgAddExecutionProvider(ep::TensorRT&& ep) {
desc.execution_providers.emplace_back(std::move(ep));
return *this;
}
/** @brief Disables the memory pattern optimization.
@return the reference on modified object.
@@ -491,6 +573,16 @@ public:
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));
}
/** @see onnx::Params::cfgAddExecutionProvider. */
void cfgAddExecutionProvider(ep::TensorRT&& ep) {
desc.execution_providers.emplace_back(std::move(ep));
}
/** @see onnx::Params::cfgDisableMemPattern. */
void cfgDisableMemPattern() {
desc.disable_mem_pattern = true;