code: def build_graph(
      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")
  
imports: import numpy
  from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_nn_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling a global function with example usage: build_graph(inp, dtype, num_filters, data_format, kernel_sizes, dilation_rates, padding) and returns: array_ops