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dlr ds/mono: fixup
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1 changed files with 2 additions and 2 deletions
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@ -158,7 +158,7 @@ def dataset_mono(dirpath_input, train_percentage=0.8, **kwargs):
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return dataset_train, dataset_validate #, filepaths
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def dataset_mono_predict(dirpath_input, **kwargs):
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def dataset_mono_predict(dirpath_input, batch_size=64, **kwargs):
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"""Creates a tf.data.Dataset() for prediction using the contrastive learning model.
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Note that this WILL MANGLE THE ORDERING if you set parallel_reads_multiplier to anything other than 0!!
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@ -175,7 +175,7 @@ def dataset_mono_predict(dirpath_input, **kwargs):
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return make_dataset(
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filepaths=filepaths,
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metadata=read_metadata(dirpath_input),
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batch_size=None,
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batch_size=None, # NOTE: We IGNORE batch_size because otherwise we have issues reading the dataset which is stupid because it doesn't always happen and it's weird.
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shuffle=False, #even with shuffle=False we're not gonna get them all in the same order since we're reading in parallel
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**kwargs
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)
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