code: def test_value_transposed(self):
      # Check that transposed data is not an issue.
      my_value = array_ops.transpose(
          constant_op.constant([[0, 1, 2, 3], [4, 5, 6, 7]])
      )
      input_data = RaggedTensor.from_value_rowids(
          values=my_value,
          value_rowids=constant_op.constant(
              [0, 1, 2, 3], dtype=dtypes.int64
          ),
          nrows=constant_op.constant(4, dtype=dtypes.int64),
          validate=True,
      )
      self.assertAllEqual(
          input_data, [[[0, 4]], [[1, 5]], [[2, 6]], [[3, 7]]]
      )
  
imports: import random
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.client import session
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import tensor
  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 gradients_impl
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.ops.ragged.ragged_tensor import RaggedTensor
  from tensorflow.python.platform import benchmark
  from tensorflow.python.platform import googletest
  from tensorflow.python.util import nest
label_desc: Use image node_id 9 for calling the RaggedTensorToTensorOpTest obj's underlying member method code with example usage: obj.test_value_transposed() without return types