*   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
        could still lead to nondeterminism, although this is very unlikely. This
        additional, unlikely source will be eliminated in a later version.

], len1) return v } // gcmHashKey represents the 16-byte hash key required by the GHASH algorithm. type gcmHashKey [16]byte type gcmPlatformData struct { hashKey gcmHashKey } func initGCM(g *GCM) { if !useGCM && !useGHASH { return } // Note that hashKey is also used in the KMA codepath to hash large nonces. aes.EncryptBlockInternal(&g.cipher, g.hashKey[:], g.hashKey[:]) } // ghashAsm uses the GHASH algorithm to hash data with the given key. The initial // hash value is given by hash which will be...

], len1) return v } // gcmHashKey represents the 16-byte hash key required by the GHASH algorithm. type gcmHashKey [16]byte type gcmPlatformData struct { hashKey gcmHashKey } func initGCM(g *GCM) { if !useGCM && !useGHASH { return } // Note that hashKey is also used in the KMA codepath to hash large nonces. aes.EncryptBlockInternal(&g.cipher, g.hashKey[:], g.hashKey[:]) } // ghashAsm uses the GHASH algorithm to hash data with the given key. The initial // hash value is given by hash which will be...

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