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Updated six places #44

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Updated six places #44

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02137e4
Update data.py
DLPerf Aug 28, 2021
78b83de
Update data.py
DLPerf Aug 28, 2021
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6 changes: 3 additions & 3 deletions cGAN/data.py
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Original file line number Diff line number Diff line change
Expand Up @@ -73,7 +73,7 @@ def _image_decoder(path):
else:
dataset = tf.data.Dataset.from_tensor_slices(image_paths)

dataset = dataset.map(_parser)
dataset = dataset.map(_parser,num_parallel_calls=tf.data.experimental.AUTOTUNE)
dataset = dataset.shuffle(buffer_size=8)
dataset = dataset.batch(batch_size)

Expand Down Expand Up @@ -115,7 +115,7 @@ def _image_decoder(path):
return image, semantic_map

dataset = tf.data.Dataset.from_tensor_slices(image_paths, semantic_map_paths)
dataset = dataset.map(_parser)
dataset = dataset.map(_parser,num_parallel_calls=tf.data.experimental.AUTOTUNE)
dataset = dataset.shuffle(buffer_size=8)
dataset = dataset.batch(batch_size)

Expand All @@ -140,7 +140,7 @@ def _preprocess_inference(image_path, label, resize=(32,32)):
return image, label

dataset = tf.data.Dataset.from_tensor_slices((filenames, labels))
dataset = dataset.map(_preprocess_inference)
dataset = dataset.map(_preprocess_inference,num_parallel_calls=tf.data.experimental.AUTOTUNE)
dataset = dataset.batch(batch_size)

return dataset
Expand Down
6 changes: 3 additions & 3 deletions data.py
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Original file line number Diff line number Diff line change
Expand Up @@ -74,7 +74,7 @@ def _image_decoder(path):
dataset = tf.data.Dataset.from_tensor_slices(image_paths)

dataset = dataset.shuffle(buffer_size=8)
dataset = dataset.map(_parser)
dataset = dataset.map(_parser,num_parallel_calls=tf.data.experimental.AUTOTUNE)
dataset = dataset.cache()
dataset = dataset.batch(batch_size)

Expand Down Expand Up @@ -116,7 +116,7 @@ def _image_decoder(path):
return image, semantic_map

dataset = tf.data.Dataset.from_tensor_slices(image_paths, semantic_map_paths)
dataset = dataset.map(_parser)
dataset = dataset.map(_parser,num_parallel_calls=tf.data.experimental.AUTOTUNE)
dataset = dataset.shuffle(buffer_size=8)
dataset = dataset.batch(batch_size)

Expand All @@ -141,7 +141,7 @@ def _preprocess_inference(image_path, label, resize=(32,32)):
return image, label

dataset = tf.data.Dataset.from_tensor_slices((filenames, labels))
dataset = dataset.map(_preprocess_inference)
dataset = dataset.map(_preprocess_inference,num_parallel_calls=tf.data.experimental.AUTOTUNE)
dataset = dataset.batch(batch_size)

return dataset
Expand Down