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
