MOVMSKPS X2, R11                        // 440f50da
	MOVMSKPS X11, R11                       // 450f50db
	MOVNTO X2, (BX)                         // 660fe713
	MOVNTO X11, (BX)                        // 66440fe71b
	MOVNTO X2, (R11)                        // 66410fe713
	MOVNTO X11, (R11)                       // 66450fe71b
	MOVNTDQA (BX), X2                       // 660f382a13

        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],