code: def testSparseTensorReshape(self):
      x = constant_op.constant(2.0, shape=(2,))
  
      def sparse_tensor_reshape(values):
          sparse = sparse_tensor.SparseTensor(
              indices=[[0, 0], [1, 2]],
              values=values,
              dense_shape=[3, 4],
          )
          sparse = sparse_ops.sparse_reshape(sparse, shape=(12,))
          return sparse.values
  
      error = gradient_checker.max_error(
          *gradient_checker.compute_gradient(sparse_tensor_reshape, [x])
      )
  
      self.assertLess(error, 1e-4)
  
imports: import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import custom_gradient
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import sparse_ops
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 1 for calling the GradientCheckerTest obj's underlying member method code with example usage: obj.testSparseTensorReshape() and returns: sparse