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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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| .. | ||
| bundle_dlls.bat | ||
| bundle_dlls_gpu.bat | ||
| download_cmake.py | ||
| extract_nuget_files.ps1 | ||
| extract_nuget_files_gpu.ps1 | ||
| jar_gpu_packaging.ps1 | ||
| jar_packaging.ps1 | ||
| post_binary_sizes_to_dashboard.py | ||
| post_code_coverage_to_dashboard.py | ||
| setup_env.bat | ||
| setup_env_cuda.bat | ||
| setup_env_cuda_11.bat | ||
| setup_env_gpu.bat | ||
| setup_env_trt.bat | ||
| setup_env_x86.bat | ||