class_docstr: Test for CombinedNMS op in TF-TRT.
class_docstr_tok: ["Test","for","CombinedNMS","op","in","TF-TRT","."]
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 not run_params.dynamic_shape:
          return {
              "TRTEngineOp_000": [
                  "combined_nms/CombinedNonMaxSuppression",
                  "max_total_size",
                  "iou_threshold",
                  "score_threshold",
              ]
          }
      else:
          # The CombinedNMS op is currently not converted in dynamic shape mode.
          # This branch shall be removed once the converter is updated to handle
          # input with dynamic shape.
          return dict()
  
imports: import os
  from tensorflow.python.compiler.tensorrt import utils
  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 image_ops_impl
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the CombinedNmsTest obj's underlying member method code with example usage: obj.ExpectedEnginesToBuild(run_params) and returns: dict, dict