the model's training step with [XLA](https://www.tensorflow.org/xla).
        Note that `jit_compile=True` may not necessarily work for all models.

*   Deterministic Op Functionality:

    *   Fix regression in deterministic selection of deterministic cuDNN
        convolution algorithms, a regression that was introduced in v2.5. Note
        that nondeterministic out-of-memory events while selecting algorithms

invalid buffer overlap of output and additional data") } fips140.RecordApproved() drbg.Read(nonce) seal(out, g, nonce, plaintext, additionalData) } // NewGCMWithCounterNon returns a new AEAD that works like GCM, but enforces // the construction of deterministic nonces. The nonce must be 96 bits, the // first 32 bits must be an encoding of the module name, and the last 64 bits // must be a counter. The starting value of the counter is set on the first call // to Seal, and each subsequent call must increment...

invalid buffer overlap of output and additional data") } fips140.RecordApproved() drbg.Read(nonce) seal(out, g, nonce, plaintext, additionalData) } // NewGCMWithCounterNon returns a new AEAD that works like GCM, but enforces // the construction of deterministic nonces. The nonce must be 96 bits, the // first 32 bits must be an encoding of the module name, and the last 64 bits // must be a counter. // // This complies with FIPS 140-3 IG C.H Scenario 3. func NewGCMWithCounterNon(cipher *aes.Block) (*GCMWithCounterNonce,...

- Refine aws loadbalancer worker node SG rule logic to be deterministic ([#92224](https://github.com/kubernetes/kubernetes/pull/92224), [@M00nF1sh](https://github.com/M00nF1sh)) [SIG Cloud Provider]