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dlr ds/mono: fixup

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Starbeamrainbowlabs 2023-06-16 18:35:02 +01:00
parent 7869505cfb
commit a4e80229fb
Signed by: sbrl
GPG key ID: 1BE5172E637709C2
1 changed files with 2 additions and 2 deletions
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4
aimodel/src/lib/dataset/dataset_mono.py
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@ -158,7 +158,7 @@ def dataset_mono(dirpath_input, train_percentage=0.8, **kwargs):
return dataset_train, dataset_validate #, filepaths return dataset_train, dataset_validate #, filepaths
def dataset_mono_predict(dirpath_input, **kwargs): def dataset_mono_predict(dirpath_input, batch_size=64, **kwargs):
"""Creates a tf.data.Dataset() for prediction using the contrastive learning model. """Creates a tf.data.Dataset() for prediction using the contrastive learning model.
Note that this WILL MANGLE THE ORDERING if you set parallel_reads_multiplier to anything other than 0!! Note that this WILL MANGLE THE ORDERING if you set parallel_reads_multiplier to anything other than 0!!
@ -175,7 +175,7 @@ def dataset_mono_predict(dirpath_input, **kwargs):
return make_dataset( return make_dataset(
filepaths=filepaths, filepaths=filepaths,
metadata=read_metadata(dirpath_input), metadata=read_metadata(dirpath_input),
batch_size=None, 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.
shuffle=False, #even with shuffle=False we're not gonna get them all in the same order since we're reading in parallel shuffle=False, #even with shuffle=False we're not gonna get them all in the same order since we're reading in parallel
**kwargs **kwargs
) )