pytorch

975542c3 - Add more ciflow labels for more workflows (#63410)

Add more ciflow labels for more workflows (#63410) Summary: - Add more ciflow labels and enable it for more workflows. - Only the 'ciflow/default' workflows are run by default on pull_request time - Other labels can be manually triggered by (adding the labels + unassign pytorchbot), OR wait for pytorchbot's comment opt-in rollout - The label design is a logical operator `OR`, i.e. adding ('ciflow/cuda' + 'ciflow/win') will trigger the union of them. (design feedback is needed here) Typical default workflows for normal PRs. <details> <summary>Generated label rules</summary>  ``` { "label_rules": { "ciflow/all": [ "libtorch-linux-xenial-cuda10.2-py3.6-gcc7", "libtorch-linux-xenial-cuda11.1-py3.6-gcc7", "linux-bionic-cuda10.2-py3.9-gcc7", "linux-bionic-py3.8-gcc9-coverage", "linux-xenial-cuda10.2-py3.6-gcc7", "linux-xenial-cuda11.1-py3.6-gcc7", "linux-xenial-py3.6-gcc5.4", "linux-xenial-py3.6-gcc7-bazel-test", "periodic-libtorch-linux-xenial-cuda11.3-py3.6-gcc7", "periodic-linux-xenial-cuda11.3-py3.6-gcc7", "periodic-win-vs2019-cuda11.3-py3", "win-vs2019-cpu-py3", "win-vs2019-cuda10.1-py3", "win-vs2019-cuda11.1-py3" ], "ciflow/bazel": [ "linux-xenial-py3.6-gcc7-bazel-test" ], "ciflow/coverage": [ "linux-bionic-py3.8-gcc9-coverage" ], "ciflow/cpu": [ "linux-bionic-py3.8-gcc9-coverage", "linux-xenial-py3.6-gcc5.4", "linux-xenial-py3.6-gcc7-bazel-test", "win-vs2019-cpu-py3" ], "ciflow/cuda": [ "libtorch-linux-xenial-cuda10.2-py3.6-gcc7", "libtorch-linux-xenial-cuda11.1-py3.6-gcc7", "linux-bionic-cuda10.2-py3.9-gcc7", "linux-xenial-cuda10.2-py3.6-gcc7", "linux-xenial-cuda11.1-py3.6-gcc7", "periodic-libtorch-linux-xenial-cuda11.3-py3.6-gcc7", "periodic-linux-xenial-cuda11.3-py3.6-gcc7", "periodic-win-vs2019-cuda11.3-py3", "win-vs2019-cuda10.1-py3", "win-vs2019-cuda11.1-py3" ], "ciflow/default": [ "linux-bionic-py3.8-gcc9-coverage", "linux-xenial-cuda11.1-py3.6-gcc7", "linux-xenial-py3.6-gcc5.4", "linux-xenial-py3.6-gcc7-bazel-test", "win-vs2019-cpu-py3", "win-vs2019-cuda10.1-py3" ], "ciflow/libtorch": [ "libtorch-linux-xenial-cuda10.2-py3.6-gcc7", "libtorch-linux-xenial-cuda11.1-py3.6-gcc7", "periodic-libtorch-linux-xenial-cuda11.3-py3.6-gcc7" ], "ciflow/linux": [ "libtorch-linux-xenial-cuda10.2-py3.6-gcc7", "libtorch-linux-xenial-cuda11.1-py3.6-gcc7", "linux-bionic-cuda10.2-py3.9-gcc7", "linux-bionic-py3.8-gcc9-coverage", "linux-xenial-cuda10.2-py3.6-gcc7", "linux-xenial-cuda11.1-py3.6-gcc7", "linux-xenial-py3.6-gcc5.4", "linux-xenial-py3.6-gcc7-bazel-test", "periodic-libtorch-linux-xenial-cuda11.3-py3.6-gcc7", "periodic-linux-xenial-cuda11.3-py3.6-gcc7" ], "ciflow/scheduled": [ "periodic-libtorch-linux-xenial-cuda11.3-py3.6-gcc7", "periodic-linux-xenial-cuda11.3-py3.6-gcc7", "periodic-win-vs2019-cuda11.3-py3" ], "ciflow/slow": [ "linux-bionic-cuda10.2-py3.9-gcc7", "linux-xenial-cuda10.2-py3.6-gcc7" ], "ciflow/win": [ "periodic-win-vs2019-cuda11.3-py3", "win-vs2019-cpu-py3", "win-vs2019-cuda10.1-py3", "win-vs2019-cuda11.1-py3" ] }, "version": "v1" } ``` </details> Pull Request resolved: https://github.com/pytorch/pytorch/pull/63410 Reviewed By: ngimel Differential Revision: D30378553 Pulled By: zhouzhuojie fbshipit-source-id: 4e0953740793e5e72b95018f8ab2ce4a6a364c38