gh zurutech ashpy
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models/convolutional/unet.py models/convolutional/discriminators.py models/convolutional/pix2pixhd.py models/convolutional/interfaces.py models/convolutional/decoders.py models/convolutional/encoders.py models/convolutional/autoencoders.py models/convolutional/__init__.py models/fc/interfaces.py models/fc/autoencoders.py models/fc/encoders.py models/fc/decoders.py models/fc/__init__.py models/gans.py models/__init__.py trainers/trainer.py trainers/gan.py trainers/classifier.py trainers/__init__.py metrics/gan.py metrics/sliced_wasserstein.py metrics/metric.py metrics/sliced_wasserstein_metric.py metrics/ssim_multiscale.py metrics/classifier.py metrics/__init__.py losses/gan.py losses/executor.py losses/classifier.py losses/__init__.py callbacks/save_callback.py callbacks/gan.py callbacks/callback.py callbacks/counter_callback.py callbacks/classifier.py callbacks/events.py callbacks/__init__.py contexts/gan.py contexts/context.py contexts/classifier.py contexts/__init__.py restorers/restorer.py restorers/gan.py restorers/classifier.py restorers/__init__.py keras/losses.py keras/__init__.py layers/attention.py layers/instance_normalization.py layers/__init__.py utils/utils.py utils/__init__.py __init__.py datasets/__init__.py modes.py ashtypes.py

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    @staticmethod










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    def _check_loss_name_collision(losses: List[ashpy.losses.Executor]):










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        """Check that all losses have unique names."""











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        """











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        Check that all losses have unique names.











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        Args:











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            losses (List[:py:class:`ashpy.losses.Executor`]): List of losses used by the current trainer.











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        Raises:











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            ValueError if there are losses with conflicting names











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        """









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        names = []










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        for loss in losses:







 
 






































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Emanuele Ghelfi


























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Trainer: add doc











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Trainer: solve unnecessary else after raise











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Project Totals (56 files)






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