def METHOD_NAME(inp,
                dtype,
                num_filters,
                data_format,
                kernel_sizes,
                dilation_rates,
                padding="same"):
  results = []
  for kernel_size in kernel_sizes:
    for dilation_rate in dilation_rates:
      result = conv2d_layer(inp, num_filters, kernel_size, (1, 1), padding,
                            data_format, dilation_rate)
      results.append(result)
  output = sum(results)
  return array_ops.identity(output, name="output_0")