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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
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# issues. Currently only supports any and all
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- any:
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- "module: opcheck"
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then:
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- "module: custom-operators"
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- any:
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- "module: custom-operators"
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- "module: functionalization"
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- "module: aotdispatch"
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- "module: higher order operators"
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- "module: fakeTensor"
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- "module: ProxyTensor"
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- "module: library"
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- "module: reinplacing"
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then:
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- "module: pt2-dispatcher"
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- any:
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- "module: vmap"
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then:
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- "module: functorch"
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- any:
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- "module: reinplacing"
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then:
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- "module: inductor"
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- any:
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- "module: pt2 optimizer"
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then:
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- "module: dynamo"
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- any:
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- "module: flex attention"
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then:
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- "module: higher order operators"
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- any:
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- "module: aotinductor"
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then:
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- "oncall: export"
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- any:
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- "module: dynamo"
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- "module: pt2-dispatcher"
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- "module: inductor"
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- "module: aotinductor"
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- "module: cudagraphs"
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- "oncall: export"
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- "module: compile-time"
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- "module: compiled autograd"
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- "module: flex attention"
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- "module: dynamic shapes"
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then:
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- "oncall: pt2"
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- any:
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- "release notes: distributed (c10d)"
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- "release notes: distributed (symm_mem)"
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- "release notes: distributed (pipeline)"
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- "release notes: distributed (fsdp)"
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- "release notes: distributed (dtensor)"
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- "oncall: distributed"
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then:
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- "ciflow/h100-distributed"
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