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minor lint fix
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official/resnet/imagenet_main.py

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@@ -175,7 +175,7 @@ def input_fn(is_training, data_dir, batch_size, num_epochs=1):
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dataset = dataset.shuffle(buffer_size=_NUM_TRAIN_FILES)
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# Convert to individual records
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# TODO(guptapriya): Should we make this cycle_length a flag similar to
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# TODO(guptapriya): Should we make this cycle_length a flag similar to
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# num_parallel_calls?
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dataset = dataset.apply(tf.contrib.data.parallel_interleave(
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tf.data.TFRecordDataset, cycle_length=10))

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