Modified TF train_step (#13678) - SemanticDiff

Commit

4 years ago

Modified TF train_step (#13678) Allows models to be compiled without a loss, and to use the internal loss computations for training with fit()

References

#13678 - Modified TF train_step

#15748 - Fix segformer reshape last stage

#19449 - [WIP] Fix weights initialization of several vision models

#27720 - Add common processor tests

#29969 - [SigLIP] Add fast tokenizer

#32831 - [Docs] Update resources

#33111 - [Backbone] Remove out_features everywhere

#33174 - [Zero-shot image classification pipeline] Remove tokenizer_kwargs

#39821 - Support MetaCLIP 2

#59 - Fix attention mask handling in EoMT-DINOv3 converter

#62 - Add initial DEIMv2 model implementation

#65 - Fix RTDetrV2 sine position embedding ordering

#43710 - [Docs] Add docs for GLM-OCR and fix EomT-DINOv3

#43729 - [Doc tests] Fix bug

Author

Rocketknight1

Rocketknight1

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