* Whether you represent a ragged tensor as a `tf.RaggedTensor` or using [keras masking](https://www.tensorflow.org/guide/keras/masking_and_padding), the returned loss values should be the identical to each other. In previous versions Keras may have silently ignored the mask.
 * If you use masked losses with Keras the loss values may be different in TensorFlow `2.12` compared to previous versions.

keyHashWant) } pub, err := tc.newPublicKey(pk) if err != nil { t.Fatalf("NewPublicKey: %v", err) } if !pub.Equal(priv.PublicKey()) { t.Errorf("Parsed public key not equal to original") } if *pub != *priv.PublicKey() { t.Errorf("Parsed public key not identical to original") } // The table provides a Sign_internal input (not actually formatted // like one), which is part of the pre-image of μ. M := fromHex(tc.msg) H := sha3.NewShake256() tr := computePublicKeyHash(pk) H.Write(tr[:]) H.Write(M) μ := make([]byte,...