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123e1eac01
Pytorch was added to inference pipelines in PR #8027. But, actually these pipelines do not use PyTorch. PyTorch is huge, here we need to install it for 4 different Python versions. If we remove PyTorch, we will significantly reduce the image size. And, now downloading a pytorch package often takes more than 1 hour. If we do it 4 times, it may take 4 hours. Valgrind was added by me long time back, and it was not used too. Now we run Linux tests outside of docker containers. So, when we have the need, we could install it through apt-get on Ubuntu instead of doing it in the CentOS container. |
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| .. | ||
| docker | ||
| ort_minimal | ||
| tvm | ||
| build_cuda_c_api_package.sh | ||
| build_linux_arm64_python_package.sh | ||
| build_yocto.sh | ||
| copy_strip_binary.sh | ||
| create_package.sh | ||
| extract_and_bundle_gpu_package.sh | ||
| java_copy_strip_binary.sh | ||
| java_linux_final_test.sh | ||
| run_build.sh | ||
| run_dockerbuild.sh | ||
| run_python_tests.sh | ||
| test_custom_ops_pytorch_export.sh | ||
| upload_code_coverage_data.sh | ||
| upload_ortsrv_binaries.sh | ||
| yocto_build_toolchain.sh | ||