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Use prefetch() after batching // image_dataset.py #18160

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Jun 12, 2023
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Use prefetch() after batching // image_dataset.py #18160

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9 changes: 6 additions & 3 deletions keras/utils/image_dataset.py
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Original file line number Diff line number Diff line change
Expand Up @@ -269,8 +269,6 @@ def image_dataset_from_directory(
interpolation=interpolation,
crop_to_aspect_ratio=crop_to_aspect_ratio,
)
train_dataset = train_dataset.prefetch(tf.data.AUTOTUNE)
val_dataset = val_dataset.prefetch(tf.data.AUTOTUNE)

if batch_size is not None:
if shuffle:
Expand All @@ -286,6 +284,9 @@ def image_dataset_from_directory(
buffer_size=1024, seed=seed
)

train_dataset = train_dataset.prefetch(tf.data.AUTOTUNE)
val_dataset = val_dataset.prefetch(tf.data.AUTOTUNE)

# Users may need to reference `class_names`.
train_dataset.class_names = class_names
val_dataset.class_names = class_names
Expand Down Expand Up @@ -314,7 +315,7 @@ def image_dataset_from_directory(
interpolation=interpolation,
crop_to_aspect_ratio=crop_to_aspect_ratio,
)
dataset = dataset.prefetch(tf.data.AUTOTUNE)

if batch_size is not None:
if shuffle:
# Shuffle locally at each iteration
Expand All @@ -324,6 +325,8 @@ def image_dataset_from_directory(
if shuffle:
dataset = dataset.shuffle(buffer_size=1024, seed=seed)

dataset = dataset.prefetch(tf.data.AUTOTUNE)

# Users may need to reference `class_names`.
dataset.class_names = class_names

Expand Down