class_docstr: Creates a network that has data dependent shapes.
class_docstr_tok: ["Creates","a","network","that","has","data","dependent","shapes","."]
code: def ShouldRunTest(self, run_params):
      # We have a single dimension, and that is changed, therefore the graph can
      # only be converted in dynamic shape mode.
      return (
          run_params.dynamic_engine
          and run_params.is_v2
          and run_params.dynamic_shape
          and run_params.use_calibration,
          "test v2 dynamic engine and " "calibration",
      )
  
file_path: tensorflow-upstream/tensorflow/python/compiler/tensorrt/test/data_dependent_shape_test.py
imports: import os
  from unittest import SkipTest
  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 math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the TrtModeTestBase obj's underlying member method code with example usage: obj.ShouldRunTest(run_params) and returns: unknown,  str