`bad_indices_policy`, the op will either return an error or ignore the
out-of-bound indices. `bad_indices_policy` can be one of the following values:
1. "" or "DEFAULT": raises on CPU and ignore on GPU. This is because
   historically on CPU and GPU we handle errors in different ways, and for
   backward compatibility we keep the default behavior.
2. "ERROR": raises error; GPU does not support this value.

 * If you use masked losses with Keras the loss values may be different in TensorFlow `2.12` compared to previous versions.
 * In cases where the mask was previously ignored, you will now get an error if you pass a mask with an incompatible shape.

### Major Features and Improvements

`tf.keras`: