passing a `dtype` argument to the layer.
    *   `tf.random.Generator` for keras initializers and all RNG code.
    *   Added 3 new APIs for enable/disable/check the usage of
        `tf.random.Generator` in keras backend, which will be the new backend
        for all the RNG in Keras. We plan to switch on the new code path by
        default in tf 2.8, and the behavior change will likely to cause some

    <glob pattern="*.mdo"/>
    <glob pattern="*.n3"/>
    <glob pattern="*.pen"/>
    <glob pattern="*.pod"/>
    <glob pattern="*.pom"/>
    <glob pattern="*.project"/>
    <glob pattern="*.rng"/>
    <glob pattern="*.rnx"/>
    <glob pattern="*.roles"/>
    <glob pattern="*.schemas"/>
    <glob pattern="*.tld"/>
    <glob pattern="*.types"/>
    <glob pattern="*.vm"/>
    <glob pattern="*.vsl"/>

strength of 256 bits, a seed size of 384 bits, // a counter length of 128 bits, a reseed interval of 2^48 requests, and a // maximum request size of 2^19 bits (2^16 bytes, 64 KiB). // // We support a narrow range of parameters that fit the needs of our RNG: // AES-256, no derivation function, no personalization string, no prediction // resistance, and 384-bit additional input. type Counter struct { // c is instantiated with K as the key and V as the counter. c aes.CTR reseedCounter uint64 } const ( keySize...

strength of 256 bits, a seed size of 384 bits, // a counter length of 128 bits, a reseed interval of 2^48 requests, and a // maximum request size of 2^19 bits (2^16 bytes, 64 KiB). // // We support a narrow range of parameters that fit the needs of our RNG: // AES-256, no derivation function, no personalization string, no prediction // resistance, and 384-bit additional input. // // WARNING: this type provides tightly scoped support for the DRBG // functionality we need for FIPS 140-3 _only_. This type...