[tests] Changes to the torch.compile() CI and tests
#11508
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@DN6 a gentle ping. |
DN6
approved these changes
May 26, 2025
| @@ -96,23 +92,8 @@ def test_gradient_checkpointing_is_applied(self): | |||
| expected_set = {"HunyuanVideoTransformer3DModel"} | |||
| super().test_gradient_checkpointing_is_applied(expected_set=expected_set) | |||
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| @require_torch_gpu | |||
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Would make sense to add these decorators to the top of the Mixin no?
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These decorators are present in the mixin:
diffusers/tests/models/test_modeling_common.py
Lines 1762 to 1765 in b5c2050
| @@ -188,7 +188,7 @@ jobs: | |||
| group: aws-g4dn-2xlarge | |||
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| container: | |||
| image: diffusers/diffusers-pytorch-compile-cuda | |||
| image: diffusers/diffusers-pytorch-cuda | |||
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Small nit. We can remove the -k "compile" in the test runner step.
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Thanks for the reviews, @DN6! Hope to make our compile CI better and better. |
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What does this PR do?
Regarding the final point, I think we already test torch.compile() support for popular models and doing it at the pipeline-level makes little sense to me. But no strong opinions.