mirror of
https://github.com/saymrwulf/onnxruntime.git
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dbc7a195b1
1. Enable xnnpack test 2. Change TSA database name from onnxruntime_master to onnxruntime_main. This is a leftover of renaming the "master" branch to "main" 3. Add two static analysis jobs for WinML and DML 4. Rename the machine pool "aiinfra-dml-winbuild" to "onnxruntime-Win2019-GPU-dml-A10", so that the internal and public ADO instances use the same machine pool name. 5. Move Windows GPU CI build pipeline from "onnxruntime-Win2022-GPU-T4" to "onnxruntime-Win2022-GPU-A10" machine pool, because we do not have enough T4 GPUs. |
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| .. | ||
| eager | ||
| post_to_dashboard | ||
| bundle_dlls_gpu.bat | ||
| bundle_nuget_with_native_headers.bat | ||
| extract_nuget_files.ps1 | ||
| extract_nuget_files_gpu.ps1 | ||
| extract_zip_files_gpu.ps1 | ||
| helpers.ps1 | ||
| install_protoc.ps1 | ||
| install_third_party_deps.ps1 | ||
| jar_gpu_packaging.ps1 | ||
| jar_packaging.ps1 | ||
| post_binary_sizes_to_dashboard.py | ||
| post_code_coverage_to_dashboard.py | ||
| set_telemetry_var.ps1 | ||
| setup_env.bat | ||
| setup_env_azure.bat | ||
| setup_env_cuda_11.bat | ||
| setup_env_gpu.bat | ||
| setup_env_trt.bat | ||
| setup_env_x86.bat | ||