class_docstr: Test shape value output with TF-TRT.
class_docstr_tok: ["Test","shape","value","output","with","TF-TRT","."]
docstr: Returns the expected engines to build.
docstr_tok: ["Returns","the","expected","engines","to","build","."]
code: def ExpectedEnginesToBuild(self, run_params):
      """Returns the expected engines to build."""
      if run_params.dynamic_shape:
          return ["TRTEngineOp_000", "TRTEngineOp_001"]
      else:
          # Second segment not converted in implicit batch mode, because its
          # tensors have only one dimensions
          return ["TRTEngineOp_000"]
  
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 4 for calling the ShapeOutputTest obj's underlying member method code with example usage: obj.ExpectedEnginesToBuild(run_params) and returns: list, list