written to dst. // // If dst does not have length at least n, // XORBytes panics without writing anything to dst. // // dst and x or y may overlap exactly or not at all, // otherwise XORBytes may panic. func XORBytes(dst, x, y []byte) int { n := min(len(x), len(y)) if n == 0 { return 0 } if n > len(dst) { panic("subtle.XORBytes: dst too short") } if alias.InexactOverlap(dst[:n], x[:n]) || alias.InexactOverlap(dst[:n], y[:n]) { panic("subtle.XORBytes: invalid overlap") } xorBytes(&dst[0], &x[0], &y[0],...

*   `tf.experimental.StructuredTensor`

    *   Introduced `tf.experimental.StructuredTensor`, which provides a flexible
        and Tensorflow-native way to encode structured data such as protocol
        buffers or pandas dataframes.

*   `tf.keras`:

    *   Added method `get_metrics_result()` to `tf.keras.models.Model`.
        *   Returns the current metrics values of the model as a dict.