class_docstr: Test for CombinedNMS TopK op in TF-TRT.
class_docstr_tok: ["Test","for","CombinedNMS","TopK","op","in","TF-TRT","."]
code: def GraphFn(
      self,
      pre_nms_boxes,
      pre_nms_scores,
      max_boxes_to_draw,
      max_detetion_points,
  ):
      iou_threshold = 0.1
      score_threshold = 0.001
  
      max_output_size_per_class_tensor = constant_op.constant(
          max_detetion_points,
          dtype=dtypes.int32,
          name="max_output_size_per_class",
      )
  
      max_total_size_tensor = constant_op.constant(
          max_boxes_to_draw, dtype=dtypes.int32, name="max_total_size"
      )
  
      iou_threshold_tensor = constant_op.constant(
          iou_threshold, dtype=dtypes.float32, name="iou_threshold"
      )
  
      score_threshold_tensor = constant_op.constant(
          score_threshold, dtype=dtypes.float32, name="score_threshold"
      )
  
      nms_output = image_ops_impl.combined_non_max_suppression(
          pre_nms_boxes,
          pre_nms_scores,
          max_output_size_per_class=max_output_size_per_class_tensor,
          max_total_size=max_total_size_tensor,
          iou_threshold=iou_threshold_tensor,
          score_threshold=score_threshold_tensor,
          pad_per_class=False,
          name="combined_nms",
      )
  
      return [
          array_ops.identity(output, name=("output_%d" % i))
          for i, output in enumerate(nms_output)
      ]
  
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 1 for calling the CombinedNmsTestTopK obj's underlying member method code with example usage: obj.GraphFn(pre_nms_boxes, pre_nms_scores, max_boxes_to_draw, max_detetion_points) and returns: unknown