code: def test_convert_sparse(self):
      indices = [[0, 1], [1, 0]]
      values = [42, 43]
      shape = [2, 2]
      sparse_tensor_value = sparse_tensor.SparseTensorValue(
          indices, values, shape
      )
      st = sparse_tensor.SparseTensor.from_value(sparse_tensor_value)
      from_value = self.evaluate(
          sparse_tensor.convert_to_tensor_or_sparse_tensor(
              sparse_tensor_value
          )
      )
      from_tensor = self.evaluate(
          sparse_tensor.convert_to_tensor_or_sparse_tensor(st)
      )
      for convertee in [from_value, from_tensor]:
          self.assertAllEqual(
              sparse_tensor_value.indices, convertee.indices
          )
          self.assertAllEqual(
              sparse_tensor_value.values, convertee.values
          )
          self.assertAllEqual(
              sparse_tensor_value.dense_shape, convertee.dense_shape
          )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.core.framework import full_type_pb2
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework.type_utils import fulltypes_for_flat_tensors
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 2 for calling the ConvertToTensorOrSparseTensorTest obj's underlying member method code with example usage: obj.test_convert_sparse() without return types