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1. Delete the build scripts that were copied from manylinux project. Use "git checkout" instead. 2. Update manylinux version to get python 3.11. Related issue: Python 3.11 support #12343 3. Change the cuda version of linux gpu build job of nuget packaging pipeline from cuda 11.4 to cuda 11.6 to match the TRT job within the same pipeline.. (A lot other places need be updated as well, but I'd prefer to put them in another PR) 4. Make dockerfile names static. For example, replace tools/ci_build/github/linux/docker/$(DockerFile) to tools/ci_build/github/linux/docker/Dockerfile.manylinux2014_cpu . The former one relies on a runtime variable $(DockerFile), Template Parameters are expanded early in processing a pipeline run when most variables are not available. It like C++ macros vs variables. |
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| .. | ||
| inference | ||
| scripts | ||
| Dockerfile.arm_yocto | ||
| Dockerfile.manylinux2014_aten_cpu | ||
| Dockerfile.manylinux2014_cpu | ||
| Dockerfile.manylinux2014_cuda11 | ||
| Dockerfile.manylinux2014_cuda11_4_tensorrt8_0 | ||
| Dockerfile.manylinux2014_cuda11_4_tensorrt8_2 | ||
| Dockerfile.manylinux2014_cuda11_6_tensorrt8_4 | ||
| Dockerfile.manylinux2014_eager_cpu | ||
| Dockerfile.manylinux2014_rocm4.3.1 | ||
| Dockerfile.manylinux2014_rocm5.1.1 | ||
| Dockerfile.manylinux2014_rocm5.2 | ||
| Dockerfile.manylinux2014_training_cuda11_3 | ||
| Dockerfile.manylinux2014_training_cuda11_5 | ||
| Dockerfile.manylinux_2_27_cpu | ||
| Dockerfile.ubuntu | ||
| Dockerfile.ubuntu_cuda11_4_tensorrt8_0 | ||
| Dockerfile.ubuntu_cuda11_4_tensorrt8_2 | ||
| Dockerfile.ubuntu_cuda11_6_tensorrt8_4 | ||
| Dockerfile.ubuntu_for_arm | ||
| Dockerfile.ubuntu_gpu_training | ||
| Dockerfile.ubuntu_openvino | ||
| Dockerfile.ubuntu_tensorrt | ||
| Dockerfile_manylinux2014_openvino_multipython | ||
| manylinux-entrypoint | ||
| manylinux.patch | ||