code: def _run_tensor(self, tensor_name, output_num=1):
      result = []
      for i in range(output_num):
          name = tensor_name.split(":")[0] + ":" + str(i)
          tensor = self.sess.graph.get_tensor_by_name(name)
          result.append(self.sess.run(tensor))
      return result
  
imports: import numpy
  import tensorflow.compat.v1
  from tensorflow.core.framework.tensor_pb2 import TensorProto
  from tensorflow.core.framework.tensor_shape_pb2 import TensorShapeProto
label_desc: Use image node_id 10 for calling the RefineGraph obj's underlying member method code with example usage: obj._run_tensor(tensor_name, output_num) and returns: result