tensoreflusso:: ops:: TensorArraySplit

#include <data_flow_ops.h>

Dividere i dati dal valore di input in elementi TensorArray .

Riepilogo

Supponendo che lengths assumano valori

(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
      

        

          ::tensorflow::Output
        
      



        operation
      

        

          Operation
        
      


                                                                              



        
Public functions
      



        node() const 
      

        

          ::tensorflow::Node *
        
      



        operator::tensorflow::Input() const 
      

        

          
        

      



        operator::tensorflow::Output() const 
      

        

          
        

      


  
Public attributes
  

    
flow_out
    
::tensorflow::Output flow_out
 operazione 
Operation operation
 Funzioni pubbliche 
 TensorArraySplit 
 TensorArraySplit(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input handle,
  ::tensorflow::Input value,
  ::tensorflow::Input lengths,
  ::tensorflow::Input flow_in
)
 nodo 
::tensorflow::Node * node() const 
 operatore::tensorflow::Input 
 operator::tensorflow::Input() const 
 operatore::tensorflow::Output 
 operator::tensorflow::Output() const