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### Description For compilation in container, ADO Cache task doesn't work directly. The workaround is to mount the cache directory to the container, and let CCache in container to read/write cache data. In short, we just leverage ADO API to download/upload cache data. The Post-jobs works in stack-mode, So the PostBuildCleanUp Tasks should be defined first. Thus, The PostBuildCleanUp would be executed lastly. Else, Cache Task would fail to upload cache because the Agent Directory is cleaned. |
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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_cuda11_6_tensorrt8_5 | ||
| Dockerfile.manylinux2014_eager_cpu | ||
| Dockerfile.manylinux2014_lort_cpu | ||
| Dockerfile.manylinux2014_rocm | ||
| Dockerfile.manylinux2014_training_cuda11_6 | ||
| Dockerfile.manylinux_2_27_cpu | ||
| Dockerfile.ubuntu_cuda11_4_tensorrt8_0 | ||
| Dockerfile.ubuntu_cuda11_4_tensorrt8_2 | ||
| Dockerfile.ubuntu_cuda11_6_tensorrt8_4 | ||
| Dockerfile.ubuntu_cuda11_8_tensorrt8_5 | ||
| Dockerfile.ubuntu_for_arm | ||
| 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 | ||