docstr: Return the expected engines to build.
code: def ExpectedEnginesToBuild(self, run_params):
      """Return the expected engines to build."""
      return {
          "TRTEngineOp_000": [
              "weights",
              "conv",
              "bias",
              "bias_add",
              "relu",
              "identity",
              "max_pool",
          ]
      }
  
imports: import itertools
  import os
  from tensorflow.core.framework import attr_value_pb2
  from tensorflow.core.protobuf import saved_model_pb2
  from tensorflow.python.compiler.tensorrt import trt_convert
  from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base
  from tensorflow.python.compiler.tensorrt.test.tf_trt_integration_test_base import GraphState
  from tensorflow.python.compiler.tensorrt.test.tf_trt_integration_test_base import IsQuantizationWithCalibration
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.lib.io import file_io
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import nn
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.saved_model import constants
  from tensorflow.python.saved_model import loader_impl
  from tensorflow.python.util import compat
label_desc: Use image node_id 9 for calling the TfFunctionTest obj's underlying member method code with example usage: obj.ExpectedEnginesToBuild(run_params) and returns: dict