Fix bug when upranking passthrough inputs to RandAugment #2194
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mattdangerw
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LGTM. |
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@sampathweb thanks! will fix that then pull this in |
sampathweb
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Nov 30, 2023
- RandAugment sometimes will choose a "no augmentation" option and passthrough inputs unaltered. - Preprocessing normalization routines were not making copies of inputs and sometimes mutating layer input directly (mutating the input dict to cast dtypes and uprank tensors). - RandAugment under the passthrough option would return these inputs directly. The net effect was sometimes attempting to uprank during a passthrough call, breaking tf.map_fn
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sampathweb
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- RandAugment sometimes will choose a "no augmentation" option and passthrough inputs unaltered. - Preprocessing normalization routines were not making copies of inputs and sometimes mutating layer input directly (mutating the input dict to cast dtypes and uprank tensors). - RandAugment under the passthrough option would return these inputs directly. The net effect was sometimes attempting to uprank during a passthrough call, breaking tf.map_fn
sampathweb
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* Fix Keras 3 version check (#2191) * Fix Keras 3 version check * Fix Keras 3 version check * Fix Keras 3 version check * Raise error if Keras is not compatible with TF * Fix bug when upranking passthrough inputs to RandAugment (#2194) - RandAugment sometimes will choose a "no augmentation" option and passthrough inputs unaltered. - Preprocessing normalization routines were not making copies of inputs and sometimes mutating layer input directly (mutating the input dict to cast dtypes and uprank tensors). - RandAugment under the passthrough option would return these inputs directly. The net effect was sometimes attempting to uprank during a passthrough call, breaking tf.map_fn * fix stable diffusion rank error (#2208) * Simplify running KerasCV with Keras 3 (#2179) * remove keras_core dependency * update init * update readme * fix model None error (#2176) (#2177) * Update pycoco_callback.py * Update waymo_evaluation_callback.py * fix model None error (#2176) (#2178) * Update pycoco_callback.py * Update waymo_evaluation_callback.py * update readme and conftest * update readme * update citation list * fix mix transformer tests * fix lint error * fix all failing tests * Fix dtype support for SegmentAnythingModel (#2207) * Fix dtype support for SAM * Update keras_cv/models/segmentation/segment_anything/sam_test.py * Fix Keras 2 failures * Fix F401 lint error; remove unused import * Version bump to r0.7.2.dev0 --------- Co-authored-by: Matt Watson <[email protected]> Co-authored-by: Divyashree Sreepathihalli <[email protected]> Co-authored-by: Tirth Patel <[email protected]>
yuvraj-wale
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…2194) - RandAugment sometimes will choose a "no augmentation" option and passthrough inputs unaltered. - Preprocessing normalization routines were not making copies of inputs and sometimes mutating layer input directly (mutating the input dict to cast dtypes and uprank tensors). - RandAugment under the passthrough option would return these inputs directly. The net effect was sometimes attempting to uprank during a passthrough call, breaking tf.map_fn
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The net effect was sometimes attempting to uprank during a passthrough call, breaking
tf.map_fn.