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### Description 1. Delete Prefast tasks (#17522) 2. Disable yum update (#17551) 3. Avoid calling patchelf (#17365 and #17562) we that we can validate the above fix The main problem I'm trying to solve is: our GPU package depends on both CUDA 11.x and CUDA 12.x . However, it's not easy to see the information because ldd doesn't work with the shared libraries we generate(see issue #9754) . So the patchelf change are useful for me to validate the "Disabling yum update" was successful. As you can see we call "yum update" from multiple places. Without some kind of validation it's hard to say if I have covered all of them. The Prefast change is needed because I'm going to update the VM images in the next a few weeks. In case of we need to publish a patch release after that. ### Motivation and Context Without this fix we will mix using CUDA 11.x and CUDA 12.x. And it will crash every time when we use TensorRT. |
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| .. | ||
| inference | ||
| scripts | ||
| Dockerfile.manylinux2014_aten_cpu | ||
| Dockerfile.manylinux2014_cpu | ||
| Dockerfile.manylinux2014_cuda11 | ||
| Dockerfile.manylinux2014_cuda11_6_tensorrt8_4 | ||
| Dockerfile.manylinux2014_cuda11_6_tensorrt8_5 | ||
| Dockerfile.manylinux2014_cuda11_8_tensorrt8_6 | ||
| Dockerfile.manylinux2014_lort_cpu | ||
| Dockerfile.manylinux2014_rocm | ||
| Dockerfile.manylinux2014_training_cuda11_8 | ||
| Dockerfile.ubuntu_cuda11_6_tensorrt8_4 | ||
| Dockerfile.ubuntu_cuda11_8_tensorrt8_5 | ||
| Dockerfile.ubuntu_cuda11_8_tensorrt8_6 | ||
| Dockerfile.ubuntu_gpu_training | ||
| Dockerfile.ubuntu_openvino | ||
| Dockerfile.ubuntu_tensorrt | ||
| Dockerfile.ubuntu_tensorrt_bin | ||
| Dockerfile_manylinux2014_openvino_multipython | ||
| manylinux-entrypoint | ||
| manylinux.patch | ||
| migraphx-ci-pipeline-env.Dockerfile | ||