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Add NO_PREFETCH env var
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1 changed files with 3 additions and 1 deletions
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@ -40,13 +40,15 @@ def parse_item(metadata):
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return tf.function(parse_item_inner)
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def make_dataset(filenames, metadata, compression_type="GZIP", parallel_reads_multiplier=1.5, shuffle_buffer_size=128, batch_size=64):
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if "NO_PREFETCH" in os.environ:
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logger.info("disabling data prefetching.")
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return tf.data.TFRecordDataset(filenames,
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compression_type=compression_type,
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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), num_parallel_calls=tf.data.AUTOTUNE) \
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.batch(batch_size) \
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.prefetch(tf.data.AUTOTUNE)
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.prefetch(0 if "NO_PREFETCH" in os.environ else tf.data.AUTOTUNE)
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def dataset(dirpath_input, batch_size=64, train_percentage=0.8, parallel_reads_multiplier=1.5):
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