tensorflow :: operaciones :: TensorArraySplit
#include <data_flow_ops.h>Divida los datos del valor de entrada en elementos TensorArray .
Resumen
 Asumiendo que las lengths adquieren valores
(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_out
operación
Operation operation
Funciones publicas
TensorArraySplit
TensorArraySplit( const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input value, ::tensorflow::Input lengths, ::tensorflow::Input flow_in )
nodo
::tensorflow::Node * node() const
operador :: tensorflow :: Entrada
operator::tensorflow::Input() const
operador :: tensorflow :: Salida
operator::tensorflow::Output() const