Add missing MochiEncoder3D.gradient_checkpointing attribute #11146
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@bot/ style |
a-r-r-o-w
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Mar 31, 2025
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| @unittest.skip("Unsupported test.") | ||
| def test_effective_gradient_checkpointing(self): | ||
| """ Fails because of conv_cache: | ||
| tests/models/autoencoders/test_models_autoencoder_mochi.py::AutoencoderKLMochiTests::test_effective_gradient_checkpointing - | ||
| TypeError: ModelMixin.enable_gradient_checkpointing.<locals>._gradient_checkpointing_func() got an unexpected keyword argument 'conv_cache' | ||
| """ | ||
| pass |
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I think this test should be made to pass. It fails because we don't accept kwargs in gradient checkpointing func:
Could you update the vae implementation to not pass conv_cache argument as a keyword arg and instead just use normal arg? LMK if you'd like me to take this up in a separate PR. Other than, changes LGTM, thanks!
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What does this PR do?
This PR fixes
MochiEncoder3Dis missing thegradient_checkpointingattribute in current main:src/src/diffusers/models/autoencoders/autoencoder_kl_mochi.py causing the forward pass to fail withAttributeError: 'MochiEncoder3D' object has no attribute 'gradient_checkpointing'. We simply addedself.gradient_checkpointing = FalseinMochiEncoder3D.Also a limited set of tests were added for
AutoencoderKLMochi: there are a number of tests we skip, but we feel fixing those are not in the scope of this PR.Before submitting
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