mean, var = tf.nn.moments(self.kernel, axes=[0, 1, 2], keepdims=True)
        return self.convolution_op(inputs, (self.kernel - mean) / tf.sqrt(var +
        1e-10))` Alternatively, you can override `convolution_op`: `python class
        StandardizedConv2D(tf.keras.Layer): def convolution_op(self, inputs,
        kernel): mean, var = tf.nn.moments(kernel, axes=[0, 1, 2],

key directly to its instructions. type blockExpanded struct { rounds int // Round keys, where only the first (rounds + 1) × (128 ÷ 32) words are used. enc [60]uint32 dec [60]uint32 } const ( // AES-128 has 128-bit keys, 10 rounds, and uses 11 128-bit round keys // (11×128÷32 = 44 32-bit words). // AES-192 has 192-bit keys, 12 rounds, and uses 13 128-bit round keys // (13×128÷32 = 52 32-bit words). // AES-256 has 256-bit keys, 14 rounds, and uses 15 128-bit round keys // (15×128÷32 = 60 32-bit words)....

	//TODO: MOVNTSD X2, (BX)                // f20f2b13
	//TODO: MOVNTSD X11, (BX)               // f2440f2b1b
	//TODO: MOVNTSD X2, (R11)               // f2410f2b13
	//TODO: MOVNTSD X11, (R11)              // f2450f2b1b
	//TODO: MOVNTSS X2, (BX)                // f30f2b13
	//TODO: MOVNTSS X11, (BX)               // f3440f2b1b
	//TODO: MOVNTSS X2, (R11)               // f3410f2b13

inverseNTT(nttMul(c, t0[i])) // Reject if ||ct0||∞ ≥ γ2 if coefficientsExceedBo(ct0[i], γ2) { if testingOnlyRejection != nil { testingOnlyRejection("ct0") } continue sign } } count1s := 0 h := make([][n]byte, k, maxK) for i := range w { var count int h[i], count = makeHint(ct0[i], w[i], cs2[i], p) count1s += count } // Reject if number of hints > ω if count1s > p.ω { if testingOnlyRejection != nil { testingOnlyRejection("h") } continue sign } return sigEncode(ch, z, h, p) } } // testingOnlyRejection is set in tests,...