Method to_sparse

tensorflow/python/ops/ragged/ragged_tensor.py:1655–1679

Converts this `RaggedTensor` into a `tf.SparseTensor`. Example: ```python >>> rt = ragged.constant([[1, 2, 3], [4], [], [5, 6]]) >>> rt.to_sparse().eval() SparseTensorValue(indices=[[0, 0], [0, 1], [0, 2], [1, 0], [3, 0], [3, 1]], values=[1, 2, 3, 4, 5, 6]

(self, name=None)

            st_input.values, segment_ids, num_segments, validate=False)

  def to_sparse(self, name=None):
    """Converts this `RaggedTensor` into a `tf.SparseTensor`.

    Example:

    ```python
    >>> rt = ragged.constant([[1, 2, 3], [4], [], [5, 6]])
    >>> rt.to_sparse().eval()
    SparseTensorValue(indices=[[0, 0], [0, 1], [0, 2], [1, 0], [3, 0], [3, 1]],
                      values=[1, 2, 3, 4, 5, 6],
                      dense_shape=[4, 3])
    ```

    Args:
      name: A name prefix for the returned tensors (optional).

    Returns:
      A SparseTensor with the same values as `self`.
    """
    with ops.name_scope(name, "RaggedToSparse", [self]):
      result = gen_ragged_conversion_ops.ragged_tensor_to_sparse(
          self.nested_row_splits, self.flat_values, name=name)
      return sparse_tensor.SparseTensor(result.sparse_indices,
                                        result.sparse_values,
                                        result.sparse_dense_shape)

  @classmethod
  def _from_variant(cls,