Move to DataProcessor API #262
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Looks good overall, thanks @dhpitt! I think we still need to polish a little the overall interface.
| @@ -225,16 +225,16 @@ def on_val_end(self, *args, **kwargs): | |||
| for c in self.callbacks: | |||
| c.on_val_end(*args, **kwargs) | |||
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| class SimpleWandBLoggerCallback(Callback): | |||
| class BasicLoggerCallback(Callback): | |||
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Why not BasicWandbCallback?
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The logger is capable of logging to stdout when wandb_log = false
dhpitt
changed the title
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Thanks @dhpitt, merging! |
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This PR makes the following changes:
DataProcessorobject that replaces thetorchvision.Transformsapproach to applying transforms inside datasetsdarcyandnavier_stokesdatasets to returnDataProcessorobjectsTransformobject fromoutput_encoder.pytotransforms.pyand makes it an abstract base classCallbackclasses that implement data preprocessing/postprocessing and changes them intoDataPipelineclassesWandBLoggerCallbacktoBasicLoggerCallback