code: def _ragged_to_sparse(self, t):
      if ragged_tensor.is_ragged(t):
          return ragged_tensor.convert_to_tensor_or_ragged_tensor(
              t
          ).to_sparse()
      elif sparse_tensor.is_sparse(t):
          return sparse_tensor.SparseTensor.from_value(t)
      else:
          return ops.convert_to_tensor(t)
  
imports: from absl.testing import parameterized
  import numpy
  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_spec
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_ragged_array_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops.ragged import ragged_array_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 5 for calling the RaggedCrossOpTest obj's underlying member method code with example usage: obj._ragged_to_sparse(t) and returns: ragged_tensor, sparse_tensor, ops