def METHOD_NAME(inp,
                           num_filters,
                           data_format,
                           filter_format,
                           kernel_sizes,
                           padding="same"):
  results = []
  for kernel_size in kernel_sizes:
    result = conv2d_fused_layer(inp, num_filters, kernel_size, (1, 1),
                                padding, data_format, filter_format)
    results.append(result)
  output = sum(results)
  return array_ops.identity(output, name="output_0")