SetIV(iv []byte) { if len(iv) != len(x.iv) { panic("cipher: incorrect length IV") } copy(x.iv[:], iv) } func cryptBlocksDecGeneri(b *Block, civ *[BlockSize]byte, dst, src []byte) { // For each block, we need to xor the decrypted data with the previous // block's ciphertext (the iv). To avoid making a copy each time, we loop // over the blocks backwards. end := len(src) start := end - BlockSize prev := start - BlockSize // Copy the last block of ciphertext as the IV of the next call. iv := *civ copy(civ[:],...

SetIV(iv []byte) { if len(iv) != len(x.iv) { panic("cipher: incorrect length IV") } copy(x.iv[:], iv) } func cryptBlocksDecGeneri(b *Block, civ *[BlockSize]byte, dst, src []byte) { // For each block, we need to xor the decrypted data with the previous // block's ciphertext (the iv). To avoid making a copy each time, we loop // over the blocks backwards. end := len(src) start := end - BlockSize prev := start - BlockSize // Copy the last block of ciphertext as the IV of the next call. iv := *civ copy(civ[:],...

        outputs a summary of the inference converted by TF-TRT. It namely shows
        each `TRTEngineOp` with their input(s)' and output(s)' shape and dtype.
        A detailed version of the summary is available which prints additionally
        all the TensorFlow OPs included in each of the `TRTEngineOp`s.

*   `tf.tpu.experimental.embedding`:

## 0.120.3

### Refactors

* ♻️ Reduce internal cyclic recursion in dependencies, from 2 functions calling each other to 1 calling itself. PR [#14256](https://github.com/fastapi/fastapi/pull/14256) by [@tiangolo](https://github.com/tiangolo).