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 .
|