'padding: {"SAME", "VALID"}', 'act: {"", "RELU", "RELU6", "TANH"} = ""'
    ],
    derived_attrs=['T: {float, int8}'],
    outputs=['o: T'])
def _composite_conv_add_relu(input_, filter_, bias, stride_w, stride_h,
                             dilation_w, dilation_h, padding, act):
  res = tf.raw_ops.Conv2D(
      input=input_,
      filter=filter_,