mirror of
https://github.com/pytorch/pytorch.git
synced 2025-10-20 21:14:14 +08:00
b50075343a
We want to run H100 CI for distributed related changes. We already have a labeling of oncall:distributed when touching distributed related code: 4491326fb0/.github/labeler.yml (L94). So we want to leverage that.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/156721
Approved by: https://github.com/huydhn
60 lines
1.3 KiB
YAML
60 lines
1.3 KiB
YAML
# Use this to auto apply labels based on other labels. Applies to both PRs and
|
|
# issues. Currently only supports any and all
|
|
- any:
|
|
- "module: opcheck"
|
|
then:
|
|
- "module: custom-operators"
|
|
- any:
|
|
- "module: custom-operators"
|
|
- "module: functionalization"
|
|
- "module: aotdispatch"
|
|
- "module: higher order operators"
|
|
- "module: fakeTensor"
|
|
- "module: ProxyTensor"
|
|
- "module: library"
|
|
- "module: reinplacing"
|
|
then:
|
|
- "module: pt2-dispatcher"
|
|
- any:
|
|
- "module: vmap"
|
|
then:
|
|
- "module: functorch"
|
|
- any:
|
|
- "module: reinplacing"
|
|
then:
|
|
- "module: inductor"
|
|
- any:
|
|
- "module: pt2 optimizer"
|
|
then:
|
|
- "module: dynamo"
|
|
- any:
|
|
- "module: flex attention"
|
|
then:
|
|
- "module: higher order operators"
|
|
- any:
|
|
- "module: aotinductor"
|
|
then:
|
|
- "oncall: export"
|
|
- any:
|
|
- "module: dynamo"
|
|
- "module: pt2-dispatcher"
|
|
- "module: inductor"
|
|
- "module: aotinductor"
|
|
- "module: cudagraphs"
|
|
- "oncall: export"
|
|
- "module: compile-time"
|
|
- "module: compiled autograd"
|
|
- "module: flex attention"
|
|
- "module: dynamic shapes"
|
|
then:
|
|
- "oncall: pt2"
|
|
- any:
|
|
- "release notes: distributed (c10d)"
|
|
- "release notes: distributed (symm_mem)"
|
|
- "release notes: distributed (pipeline)"
|
|
- "release notes: distributed (fsdp)"
|
|
- "release notes: distributed (dtensor)"
|
|
- "oncall: distributed"
|
|
then:
|
|
- "ciflow/h100-distributed"
|