Decodes a variant
Tensor into a RaggedTensor
.
tf.raw_ops.RaggedTensorFromVariant(
encoded_ragged,
input_ragged_rank,
output_ragged_rank,
Tvalues,
Tsplits=tf.dtypes.int64
,
name=None
)
Decodes the given variant
Tensor and returns a RaggedTensor
. The input
could be a scalar, meaning it encodes a single RaggedTensor
with ragged_rank
output_ragged_rank
. It could also have an arbitrary rank, in which case each
element is decoded into a RaggedTensor
with ragged_rank input_ragged_rank
and these are then stacked according to the input shape to output a single
RaggedTensor
with ragged_rank output_ragged_rank
. Each variant
element in
the input Tensor is decoded by retrieving from the element a 1-D variant
Tensor with input_ragged_rank + 1
Tensors, corresponding to the splits and
values of the decoded RaggedTensor
. If input_ragged_rank
is -1, then it is
inferred as output_ragged_rank
- rank(encoded_ragged)
. See
RaggedTensorToVariant
for the corresponding encoding logic.
Args | |
---|---|
encoded_ragged
|
A Tensor of type variant .
A variant Tensor containing encoded RaggedTensor s.
|
input_ragged_rank
|
An int that is >= -1 .
The ragged rank of each encoded RaggedTensor component in the input. If set to
-1, this is inferred as output_ragged_rank - rank(encoded_ragged)
|
output_ragged_rank
|
An int that is >= 0 .
The expected ragged rank of the output RaggedTensor . The following must hold:
output_ragged_rank = rank(encoded_ragged) + input_ragged_rank .
|
Tvalues
|
A tf.DType .
|
Tsplits
|
An optional tf.DType from: tf.int32, tf.int64 . Defaults to tf.int64 .
|
name
|
A name for the operation (optional). |