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* Merge CPU/GPU nuget pipeline * Include TensorRT EP libraries into existing GPU nuget package pipeline * modify to use correct YAML * Modify for test * modify for test * Add depedance * Add depedance (cont.) * modify for test * Add create TensorRT nuget package * modify for test * modify for test * Merge CPU/GPU nuget pipeline * Include TensorRT EP libraries into existing GPU nuget package pipeline * modify to use correct YAML * Modify for test * modify for test * Add depedance * Add depedance (cont.) * modify for test * Add create TensorRT nuget package * modify for test * fix merge bug * code refactor * code refactor * modify for test * modify for test * modify for test * modify for test * modify for test * modify for test * cleanup * modify for test * fix bug * modify for test * refactor * fix bug and test * Modify for test * Modify for test * Modify for test * Modify for test * Prepare for PR * Prepare for PR * code refacotr from review * Remove naming 'Microsoft.ML.OnnxRuntime.TensorRT' to avoid confusion * Add linux TensorRT libraries * Remove redundant variable in YMAL * revert file * undo revert file * Modify regular expression so that it can capture the correct file * Remove newline at end of file * small fix * Revert to CUDA11.1 on Windows * Add unit tests for nuget package on Linux Co-authored-by: Changming Sun <chasun@microsoft.com> |
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| .. | ||
| github | ||
| wasm | ||
| __init__.py | ||
| amd_hipify.py | ||
| build.py | ||
| clean_docker_image_cache.py | ||
| coverage.py | ||
| gen_def.py | ||
| get_docker_image.py | ||
| logger.py | ||
| op_registration_utils.py | ||
| op_registration_validator.py | ||
| reduce_op_kernels.py | ||
| requirements.txt | ||
| upload_python_package_to_azure_storage.py | ||