pull request
        [47772](https://github.com/tensorflow/tensorflow/pull/47772).
    *   In previous versions of TensorFlow, when a GPU was available,
        `tf.sparse.sparse_dense_matmul` introduced truly random noise in the
        forward path for data of type `tf.float32` but not for data of type
        `tf.float64` (for which there was no GPU implementation). In this
        current release, GPU support for other floating-point types

immediately // leak the private key. Instead, we use a "hedged" approach, as specified // in draft-irtf-cfrg-det-sigs-with-noise-04, Section 4. This has also the // advantage of closely resembling Deterministic ECDSA. Z := make([]byte, len(priv.d)) if err := drbg.ReadWithReader(rand, Z); err != nil { return nil, err } // See https://github.com/cfrg/draft-irtf-cfrg-det-sigs-with-noise/issues/6 // for the FIPS compliance of this method. In short Z is entropy from the // main DRBG, of length 3/2 of security_strength,...