`tf.keras.optimizers.legacy.Adam`).
    *   **TF1 compatibility.** The new optimizer does not support TF1 any more,
        so please use the legacy optimizer `tf.keras.optimizer.legacy.XXX`.
        We highly recommend to migrate your workflow to TF2 for stable
        support and new features.
    *   **API not found.** The new optimizer has a different set of public APIs

reduce) {\n        transition: none;\n      }\n    }\n  }\n}\n","// Form control focus state\n//\n// Generate a customized focus state and for any input with the specified color,\n// which defaults to the `$input-focus-border-color` variable.\n//\n// We highly encourage you to not customize the default value, but instead use\n// this to tweak colors on an as-needed basis. This aesthetic change is based on\n// WebKit's default styles, but applicable to a wider range of browsers. Its\n// usability and accessibility...

we can do an "Almost Montgomery // Multiplication" by subtracting only in the overflow case, but the // cost is very similar since the constant time subtraction tells us if // x >= m as a side effect, and taking care of the broken invariant is // highly undesirable (see https://go.dev/issue/13907). copy(x.reset(n).limbs, T[n:]) x.maybeSubtractModulus(choice(c), m) // The following specialized cases follow the exact same algorithm, but // optimized for the sizes most used in RSA. addMulVVW is implemented...

we can do an "Almost Montgomery // Multiplication" by subtracting only in the overflow case, but the // cost is very similar since the constant time subtraction tells us if // x >= m as a side effect, and taking care of the broken invariant is // highly undesirable (see https://go.dev/issue/13907). copy(x.reset(n).limbs, T[n:]) x.maybeSubtractModulus(choice(c), m) // The following specialized cases follow the exact same algorithm, but // optimized for the sizes most used in RSA. addMulVVW is implemented...