텐서플로우:: 작전:: 텐서어레이분할

#include <data_flow_ops.h>

입력 값의 데이터를 TensorArray 요소로 분할합니다.

요약

lengths 값을 취한다고 가정

(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
 작업 
 
Operation operation
 공공 기능 
 텐서어레이분할 
 
 TensorArraySplit(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input handle,
  ::tensorflow::Input value,
  ::tensorflow::Input lengths,
  ::tensorflow::Input flow_in
)
 마디 
 
::tensorflow::Node * node() const 
 연산자::텐서플로우::입력 
 
 operator::tensorflow::Input() const 
 연산자::텐서플로우::출력
 
 operator::tensorflow::Output() const