tensorflow::ops::TensorArraySplit
tensorflow::ops::TensorArraySplit
#include <data_flow_ops.h>
Split the data from the input value into TensorArray elements.
Summary
Assuming that lengths
takes on values
(n0, n1, ..., n(T-1))
and that value
has shape
(n0 + n1 + ... + n(T-1) x d0 x d1 x ...)
,
this splits values into a TensorArray with T tensors.
TensorArray index t will be the subtensor of values with starting position
(n0 + n1 + ... + n(t-1), 0, 0, ...)
and having size
nt x d0 x d1 x ...
Arguments:
- scope: A Scope object
- handle: The handle to a TensorArray.
- value: The concatenated tensor to write to the TensorArray.
- lengths: The vector of lengths, how to split the rows of value into the TensorArray.
- flow_in: A float scalar that enforces proper chaining of operations.
Returns:
-
Output
: A float scalar that enforces proper chaining of operations.
Constructors and Destructors | |
---|---|
TensorArraySplit(const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input value, ::tensorflow::Input lengths, ::tensorflow::Input flow_in) |
Public attributes | |
---|---|
flow_out |
Public functions | |
---|---|
node() const | ::tensorflow::Node * |
operator::tensorflow::Input() const | |
operator::tensorflow::Output() const |
Public attributes
flow_out
::tensorflow::Output flow_out
Public functions
TensorArraySplit
TensorArraySplit( const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input value, ::tensorflow::Input lengths, ::tensorflow::Input flow_in )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/tensor-array-split.html