code: def testKernelErrors(self):
      # An empty vector, defined using a placeholder to ensure that we can't
      # determine that it's invalid at graph-construction time.
      empty_vector = array_ops.placeholder_with_default(
          array_ops.zeros([0], dtypes.int64), shape=None
      )
  
      bad_rt1 = ragged_tensor.RaggedTensor.from_row_splits(
          row_splits=[2, 3], values=[1, 2, 3], validate=False
      )
      bad_split0 = r"First value of ragged splits must be 0.*"
      with self.assertRaisesRegex(
          errors.InvalidArgumentError, bad_split0
      ):
          self.evaluate(bad_rt1.to_sparse())
  
      bad_rt2 = ragged_tensor.RaggedTensor.from_row_splits(
          row_splits=[0, 5], values=empty_vector, validate=False
      )
      bad_rt3 = ragged_tensor.RaggedTensor.from_row_splits(
          row_splits=[0, 1],
          values=ragged_tensor.RaggedTensor.from_row_splits(
              row_splits=[0, 5], values=empty_vector, validate=False
          ),
          validate=False,
      )
      split_mismatch1_error = (
          r"Final value of ragged splits must match.*"
      )
      for rt in [bad_rt2, bad_rt3]:
          with self.assertRaisesRegex(
              errors.InvalidArgumentError, split_mismatch1_error
          ):
              self.evaluate(rt.to_sparse())
  
      bad_rt4 = ragged_tensor.RaggedTensor.from_row_splits(
          row_splits=[0, 5],
          values=ragged_tensor.RaggedTensor.from_row_splits(
              row_splits=[0], values=empty_vector, validate=False
          ),
          validate=False,
      )
      split_mismatch2_error = (
          r"Final value of ragged splits must match.*"
      )
      with self.assertRaisesRegex(
          errors.InvalidArgumentError, split_mismatch2_error
      ):
          self.evaluate(bad_rt4.to_sparse())
  
      bad_rt5 = ragged_tensor.RaggedTensor.from_row_splits(
          row_splits=empty_vector, values=[], validate=False
      )
      empty_splits_error = r"ragged splits may not be empty.*"
      with self.assertRaisesRegex(
          errors.InvalidArgumentError, empty_splits_error
      ):
          self.evaluate(bad_rt5.to_sparse())
  
imports: from tensorflow.python.eager import context
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_functional_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 7 for calling the RaggedTensorToSparseOpTest obj's underlying member method code with example usage: obj.testKernelErrors() without return types