# expected to be small.
    # The atol value is arbitrary.
    if not enable_per_channel_quantization:
      expected_outputs = model.conv(input_data)
      target_outputs = converted_model.signatures['serving_default'](
          input_tensor=ops.convert_to_tensor(input_data)
      )
      self.assertAllClose(target_outputs, expected_outputs, atol=0.06)

    if target_opset == quant_opts_pb2.XLA: