class_docstr: Test execution of calibration with int32 input
code: def GraphFn(self, inp):
      # Can use any op that is converted to TRT with int32 inputs
      inp_transposed = array_ops.transpose(
          inp, [0, 3, 2, 1], name="transpose_0"
      )
      return array_ops.identity(inp_transposed, 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 math_ops
  from tensorflow.python.ops import nn
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the CalibrationInt32Support obj's underlying member method code with example usage: obj.GraphFn(inp) and returns: array_ops