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[Canary test] GridMask: Vectorized function call on the batch dimension #146

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2 changes: 1 addition & 1 deletion keras_cv/layers/preprocessing/grid_mask.py
Original file line number Diff line number Diff line change
Expand Up @@ -213,7 +213,7 @@ def _augment_images(self, images):
images = tf.expand_dims(images, axis=0)

# TODO: Make the batch operation vectorize.
output = tf.map_fn(lambda image: self._grid_mask(image), images)
output = tf.vectorized_map(lambda image: self._grid_mask(image), images, fallback_to_while_loop=True)

if unbatched:
output = tf.squeeze(output, axis=0)
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