code: def testPrintShape(self):
      inp = constant_op.constant(2.0, shape=[100, 32])
      inp_printed = logging_ops.Print(inp, [inp])
      self.assertEqual(inp.get_shape(), inp_printed.get_shape())
  
imports: import os
  import string
  import sys
  import tempfile
  from tensorflow.python.eager import context
  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 ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import control_flow_assert
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import logging_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import string_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the PrintGradientTest obj's underlying member method code with example usage: obj.testPrintShape() without return types