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dataset: drop incomplete batches
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@ -51,7 +51,7 @@ def make_dataset(filenames, metadata, shape_watch_desired=[100,100], compression
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num_parallel_reads=math.ceil(os.cpu_count() * parallel_reads_multiplier)
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).shuffle(shuffle_buffer_size) \
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.map(parse_item(metadata, shape_water_desired=shape_watch_desired), num_parallel_calls=tf.data.AUTOTUNE) \
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.batch(batch_size) \
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.batch(batch_size, drop_remainder=True) \
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.prefetch(0 if "NO_PREFETCH" in os.environ else tf.data.AUTOTUNE)
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