code: def testFloatReshapeGradThreeDimensions(self):
      x = np.arange(1.0, 25.0).reshape([2, 3, 4]).astype(np.float32)
      input_tensor = constant_op.constant(x)
  
      def reshape(x):
          return array_ops.reshape(x, [1, 8, 3])
  
      with self.cached_session():
          err = gradient_checker_v2.max_error(
              *gradient_checker_v2.compute_gradient(
                  reshape, [input_tensor]
              )
          )
          self.assertLess(err, 1e-3)
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.platform import test
label_desc: Use image node_id 19 for calling the ReshapeTest obj's underlying member method code with example usage: obj.testFloatReshapeGradThreeDimensions() and returns: array_ops