* Tensorflow will continue to support NumPy 1.26 until 2025, aligning with community standard deprecation timeline [here](https://scientific-python.org/specs/spec-0000/).

* Hermetic CUDA support is added.

unrolled and optimized. func counterCrypt(b *aes.Block, out, in []byte, counter *[gcmBlockSize]byte) { enc := aes.EncryptionKeySchedul(b) rounds := len(enc)/4 - 1 counterCryptASM(rounds, out, in, counter, &enc[0]) } // paddedGHASH pads data with zeroes until its length is a multiple of // 16-bytes. It then calculates a new value for hash using the ghash // algorithm. func paddedGHASH(hash *[16]byte, data []byte, productTable *[256]byte) { if siz := len(data) - (len(data) % gcmBlockSize); siz > 0 { gcmHash(hash[:],...

unrolled and optimized. func counterCrypt(b *aes.Block, out, in []byte, counter *[gcmBlockSize]byte) { enc := aes.EncryptionKeySchedul(b) rounds := len(enc)/4 - 1 counterCryptASM(rounds, out, in, counter, &enc[0]) } // paddedGHASH pads data with zeroes until its length is a multiple of // 16-bytes. It then calculates a new value for hash using the ghash // algorithm. func paddedGHASH(hash *[16]byte, data []byte, productTable *[256]byte) { if siz := len(data) - (len(data) % gcmBlockSize); siz > 0 { gcmHash(hash[:],...