Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

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

Closed
wants to merge 3 commits into from
Closed
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
2 changes: 1 addition & 1 deletion keras_cv/layers/preprocessing/grid_mask.py
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)
Expand Down