tf.raw_ops.RaggedTensorToVariant

Encodes a RaggedTensor into a variant Tensor.

tf.raw_ops.RaggedTensorToVariant(
    rt_nested_splits, rt_dense_values, batched_input, name=None
)

Encodes the given RaggedTensor and returns a variant Tensor. If batched_input is True, then input RaggedTensor is unbatched along the zero-th dimension, each component RaggedTensor is encoded into a scalar variant Tensor, and these are stacked to return a 1-D variant Tensor. If batched_input is False, then the input RaggedTensor is encoded as is and a scalar variant Tensor is returned. A RaggedTensor is encoded by first creating a 1-D variant Tensor with ragged_rank + 1 elements, containing the splits and values Tensors of the RaggedTensor. Then the 1-D variant Tensor is wrapped in a scalar variant Tensor. See RaggedTensorFromVariant for the corresponding decoding logic.

Args:

  • rt_nested_splits: A list of Tensor objects with the same type in: int32, int64. A list of one or more Tensors representing the splits of the input RaggedTensor.
  • rt_dense_values: A Tensor. A Tensor representing the values of the input RaggedTensor.
  • batched_input: A bool. A bool denoting whether the input is a batched RaggedTensor.
  • name: A name for the operation (optional).

Returns:

A Tensor of type variant.