fieldAdd(f[start+3], t) } for start := 0; start < 256; start += 4 { m++ zeta := zetas[m] t := fieldMontgomeryMul(zeta, f[start+2]) f[start+2] = fieldSub(f[start], t) f[start] = fieldAdd(f[start], t) t = fieldMontgomeryMul(zeta, f[start+3]) f[start+3] = fieldSub(f[start+1], t) f[start+1] = fieldAdd(f[start+1], t) } for start := 0; start < 256; start += 2 { m++ zeta := zetas[m] t := fieldMontgomeryMul(zeta, f[start+1]) f[start+1] = fieldSub(f[start], t) f[start] = fieldAdd(f[start], t) } return nttElement(f)...

        `tf.math.squared_difference`, `tf.math.tan`,
        `tf.math.unsorted_segment_max`, `tf.math.unsorted_segment_min`,
        `tf.math.unsorted_segment_prod`, `tf.math.unsorted_segment_sum`,
        `tf.math.zeta`.
    *   New endpoints in `tf.quantization` namespace:
        `tf.quantization.dequantize`,
        `tf.quantization.fake_quant_with_min_max_args`,
        `tf.quantization.fake_quant_with_min_max_args_gradient`,