*   Added `tf.keras.regularizers.OrthogonalRegularizer`, a new regularizer
        that encourages orthogonality between the rows (or columns) or a weight
        matrix.
    *   Added `tf.keras.layers.RandomBrightness` layer for image preprocessing.
    *   Added APIs for switching between interactive logging and absl logging.
        By default, Keras always writes the logs to stdout. However, this is not

; d.Equal(exp) != 1 { // t.Errorf("d is %v, expected %v", d, exp) // } } func TestSetBytesRoundTri(t *testing.T) { // TODO: values close to 0, close to 2^255-19, between 2^255-19 and 2^255-1, // and between 2^255 and 2^256-1. Test both the documented SetBytes // behavior, and that Bytes reduces them. } // Tests self-consistency between Multiply and Square. func TestConsistency(t *testing.T) { var x Element var x2, x2sq Element x = Element{1, 1, 1, 1, 1} x2.Multiply(&x, &x) x2sq.Square(&x) if x2 !=...

The key updated docs are:

* Python Types Intro:
    * [Type Hints with Metadata Annotations](https://fastapi.tiangolo.com/python-types/#type-hints-with-metadata-annotations).