`tf.initializers = tf.keras.initializers` & `tf.optimizers =
        tf.keras.optimizers`.
    *   Updates binary cross entropy logic in Keras when input is probabilities.
        Instead of converting probabilities to logits, we are using the cross
        entropy formula for probabilities.
    *   Added public APIs for `cumsum` and `cumprod` keras backend functions.

system's random number generator. package drbg import ( entropy "crypto/internal/entropy/v1.0.0" "crypto/internal/fips140" "crypto/internal/sysrand" "io" "sync" "sync/atomic" ) // memory is a scratch buffer that is accessed between samples by the entropy // source to expose it to memory access timings. // // We reuse it and share it between Seed calls to avoid the significant (~500µs) // cost of zeroing a new allocation every time. The entropy source accesses it // using atomics (and doesn't care about...

// At every read, 128 random bits from the operating system are mixed as // additional input, to make the output as strong as non-FIPS randomness. // This is not credited as entropy for FIPS purposes, as allowed by Section // 8.7.2: "Note that a DRBG does not rely on additional input to provide // entropy, even though entropy could be provided in the additional input". additionalInput := new([SeedSize]byte) sysrand.Read(additionalInput[:16]) drbg := drbgs.Get().(*Counter) defer drbgs.Put(drbg) for...