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Prune models from TorchInductor dashboard to reduce ci cost. This PR prunes for timm models according to the [doc](https://docs.google.com/document/d/1nLPNNAU-_M9Clx9FMrJ1ycdPxe-xRA54olPnsFzdpoU/edit?tab=t.0), which reduces from 60 to 14 models. Pull Request resolved: https://github.com/pytorch/pytorch/pull/164805 Approved by: https://github.com/anijain2305, https://github.com/seemethere, https://github.com/huydhn, https://github.com/malfet
14 lines
292 B
YAML
14 lines
292 B
YAML
# removing this file prevents the TimmRunner from dynamically skipping models
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skip:
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all:
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- ~
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device:
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cpu:
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- ~
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# Skip these additional models when running on aarch64
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cpu_aarch64:
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# timeout on aarch64
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- dm_nfnet_f0
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- nfnet_l0
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- visformer_small
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