G-API: Support CUDA & TensoRT Execution Providers for ONNXRT Backend #24059
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TolyaTalamanov
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Based on this PR: |
TolyaTalamanov
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Jul 26, 2023
| static void addTensorRTExecutionProvider(Ort::SessionOptions *session_options, | ||
| const cv::gapi::onnx::ep::TensorRT &trt_ep) { | ||
| OrtTensorRTProviderOptions options{}; | ||
| options.device_id = trt_ep.device_id; |
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Consider more options:
options.trt_max_workspace_size = 2147483648;
options.trt_max_partition_iterations = 10;
options.trt_min_subgraph_size = 5;
options.trt_fp16_enable = 1;
options.trt_engine_cache_enable = 1;
options.trt_engine_cache_path = "ort_tensorrt_cache";
options.trt_dump_subgraphs = 1;
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Well technically they can be provided via env variable:
https://onnxruntime.ai/docs/execution-providers/TensorRT-ExecutionProvider.html#execution-provider-options
Not clear at this point which of them is important to expose to API
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dmatveev
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Jul 27, 2023
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@asmorkalov We're ready to merge this |
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…execution-provider G-API: Support CUDA & TensoRT Execution Providers for ONNXRT Backend opencv#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
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Pull Request Readiness Checklist
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
Patch to opencv_extra has the same branch name.