class_docstr: The shape profiles has to fit values of shape tensors, but for regular
  
  tensors the values do not matter. Here we test shape profile management with
  an INT32 input tensor that is not a shape tensor. The extra inputs with
  dim=10 would trigger an error if we mistakenly treat it as shape tensors.
class_docstr_tok: ["The","shape","profiles","has","to","fit","values","of","shape","tensors",",","but","for","regular","tensors","the","values","do","not","matter",".","Here","we","test","shape","profile","management","with","an","INT32","input","tensor","that","is","not","a","shape","tensor",".","The","extra","inputs","with","dim=10","would","trigger","an","error","if","we","mistakenly","treat","it","as","shape","tensors","."]
code: def setUp(self):
      super().setUp()
  
      self.DisableNonTrtOptimizers()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the InputProfile obj's underlying member method code with example usage: obj.setUp() without return types