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
operation
Public functions
node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const
Public attributes
flow_out
::tensorflow::Output flow_outoperation
Operation operationPublic functions
TensorArraySplit
TensorArraySplit( const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input value, ::tensorflow::Input lengths, ::tensorflow::Input flow_in )node
::tensorflow::Node * node() constoperator::tensorflow::Input
operator::tensorflow::Input() constoperator::tensorflow::Output
operator::tensorflow::Output() const