(core/diffusers): AutoencoderMixin to abstract common methods #1444
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Summary of ChangesHello @Cui-yshoho, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request significantly refactors the autoencoder architecture by introducing an Highlights
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Code Review
This pull request introduces an AutoencoderMixin to abstract common methods like enable_tiling, disable_tiling, enable_slicing, and disable_slicing. This is a great refactoring that improves code reuse and maintainability across various autoencoder models.
My review includes suggestions to improve the consistency of the new mixin and to correct its application to a few models that do not seem to support the abstracted functionality.
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| class AsymmetricAutoencoderKL(ModelMixin, ConfigMixin): | ||
| class AsymmetricAutoencoderKL(ModelMixin, AutoencoderMixin, ConfigMixin): |
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The AsymmetricAutoencoderKL class does not seem to implement tiling or slicing logic, and with the removal of self.use_slicing and self.use_tiling attributes, calling enable_tiling() or enable_slicing() will raise a NotImplementedError. This is misleading. It would be better to not inherit from AutoencoderMixin.
The corresponding import on line 27 should also be updated to remove AutoencoderMixin.
| class AsymmetricAutoencoderKL(ModelMixin, AutoencoderMixin, ConfigMixin): | |
| class AsymmetricAutoencoderKL(ModelMixin, ConfigMixin): |
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| class AutoencoderKLTemporalDecoder(ModelMixin, ConfigMixin): | ||
| class AutoencoderKLTemporalDecoder(ModelMixin, AutoencoderMixin, ConfigMixin): |
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The AutoencoderKLTemporalDecoder class does not implement tiling or slicing functionality, nor does it define the use_tiling or use_slicing attributes. To avoid confusion and potential runtime errors, it's best to remove the AutoencoderMixin from its base classes. The import on line 29 should be updated accordingly.
| class AutoencoderKLTemporalDecoder(ModelMixin, AutoencoderMixin, ConfigMixin): | |
| class AutoencoderKLTemporalDecoder(ModelMixin, ConfigMixin): |
| def disable_tiling(self): | ||
| r""" | ||
| Disable tiled VAE decoding. If `enable_tiling` was previously enabled, this method will go back to computing | ||
| decoding in one step. | ||
| """ | ||
| self.use_tiling = False |
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For consistency with enable_tiling, the disable_tiling method should also check if the use_tiling attribute exists before trying to modify it. This will prevent silent errors if called on a model that doesn't support tiling.
| def disable_tiling(self): | |
| r""" | |
| Disable tiled VAE decoding. If `enable_tiling` was previously enabled, this method will go back to computing | |
| decoding in one step. | |
| """ | |
| self.use_tiling = False | |
| def disable_tiling(self): | |
| r""" | |
| Disable tiled VAE decoding. If `enable_tiling` was previously enabled, this method will go back to computing | |
| decoding in one step. | |
| """ | |
| if not hasattr(self, "use_tiling"): | |
| raise NotImplementedError(f"Tiling doesn't seem to be implemented for {self.__class__.__name__}.") | |
| self.use_tiling = False |
| def disable_slicing(self): | ||
| r""" | ||
| Disable sliced VAE decoding. If `enable_slicing` was previously enabled, this method will go back to computing | ||
| decoding in one step. | ||
| """ | ||
| self.use_slicing = False |
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Similar to disable_tiling, disable_slicing should check for the use_slicing attribute to ensure consistency with enable_slicing and provide clearer error messages for unsupported models.
| def disable_slicing(self): | |
| r""" | |
| Disable sliced VAE decoding. If `enable_slicing` was previously enabled, this method will go back to computing | |
| decoding in one step. | |
| """ | |
| self.use_slicing = False | |
| def disable_slicing(self): | |
| r""" | |
| Disable sliced VAE decoding. If `enable_slicing` was previously enabled, this method will go back to computing | |
| decoding in one step. | |
| """ | |
| if not hasattr(self, "use_slicing"): | |
| raise NotImplementedError(f"Slicing doesn't seem to be implemented for {self.__class__.__name__}.") | |
| self.use_slicing = False |
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| class VQModel(ModelMixin, ConfigMixin): | ||
| class VQModel(ModelMixin, AutoencoderMixin, ConfigMixin): |
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The VQModel does not appear to support tiling or slicing, as it lacks the necessary implementation and attributes (use_tiling, use_slicing). Inheriting from AutoencoderMixin is therefore not appropriate for this class. Please remove AutoencoderMixin from the inheritance list and the corresponding import on line 27.
| class VQModel(ModelMixin, AutoencoderMixin, ConfigMixin): | |
| class VQModel(ModelMixin, ConfigMixin): |
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