15 { t.Fatalf("decompose32(%d) returned r1 = %d, which is out of range", x, gotR1) } default: t.Fatalf("unsupported denγ2: %d", p.γ2) } if uint32(gotR1) != r1 { t.Fatalf("highBits(%d) = %d, expected %d", x, gotR1, r1) } if gotR0 != r0 { t.Fatalf("lowBits(%d) = %d, expected %d", x, gotR0, r0) } } } func TestZetas(t *testing.T) { ζ := big.NewInt(1753) q := big.NewInt(q) for k, zeta := range zetas { // ζ^BitRev₈(k) mod q exp := new(big.Int).Exp(ζ, big.NewInt(int64(BitRev8(uint8(k)))), q) got := fiel...

        `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.
    *   Add support for temporal sample weight mode in subclassed models.