class_docstr: Testing conversion of BiasAdd MatMul in TF-TRT conversion.
class_docstr_tok: ["Testing","conversion","of","BiasAdd","MatMul","in","TF-TRT","conversion","."]
docstr: Return the expected engines to build.
docstr_tok: ["Return","the","expected","engines","to","build","."]
code: def ExpectedEnginesToBuild(self, run_params):
      """Return the expected engines to build."""
      if run_params.dynamic_shape:
          # Increased conversion rate in dynamic shape mode due to a few additional
          # conversions for MatMul, Reshape and Concat ops. This increases the size
          # of the candidate segments and results in two more TrtEngineOps.
          return [
              "TRTEngineOp_000",
              "TRTEngineOp_001",
              "TRTEngineOp_002",
          ]
      else:
          return ["TRTEngineOp_000"]
  
file_path: tensorflow-upstream/tensorflow/python/compiler/tensorrt/test/biasadd_matmul_test.py
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_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 6 for calling the BiasaddMatMulTest obj's underlying member method code with example usage: obj.ExpectedEnginesToBuild(run_params) and returns: list, list