class_docstr: Two inputs, one of the is pruned.
class_docstr_tok: ["Two","inputs",",","one","of","the","is","pruned","."]
code: def GraphFn(self, x, y):
      q = array_ops.shape(x)
      z = y * y + y
      z = gen_array_ops.reshape(z, q)
      out_0 = array_ops.identity(q, name="output_0")
      out_1 = array_ops.identity(z, name="output_1")
      return (out_0, out_1)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base
  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.platform import test
label_desc: Use image node_id 2 for calling the PrunedInputTest2 obj's underlying member method code with example usage: obj.GraphFn(x, y) and returns: out_0,  out_1