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tensorflow/api_template.__init__.py
) # Add Keras module aliases _losses = _KerasLazyLoader(globals(), submodule="losses", name="losses") _metrics = _KerasLazyLoader(globals(), submodule="metrics", name="metrics") _optimizers = _KerasLazyLoader( globals(), submodule="optimizers", name="optimizers") _initializers = _KerasLazyLoader( globals(), submodule="initializers", name="initializers") setattr(_current_module, "losses", _losses)
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LICENSE
Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages. 9. Accepting Warranty or Additional Liability. While redistributing
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RELEASE.md
not supported when used with `tf.distribute.Strategy` outside of built-in training loops like `tf.keras` `compile`/`fit`. * Wraps losses passed to the `compile` API (strings and v1 losses) which are not instances of v2 `Loss` class in `LossWrapper` class. => All losses will now use `SUM_OVER_BATCH_SIZE` reduction as default.
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