tensorflow::ops::Where3

Selects elements from x or y, depending on condition.

Summary

The x, and y tensors must all have the same shape, and the output will also have that shape.

The condition tensor must be a scalar if x and y are scalars. If x and y are vectors or higher rank, then condition must be either a scalar, a vector with size matching the first dimension of x, or must have the same shape as x.

The condition tensor acts as a mask that chooses, based on the value at each element, whether the corresponding element / row in the output should be taken from x (if true) or y (if false).

If condition is a vector and x and y are higher rank matrices, then it chooses which row (outer dimension) to copy from x and y. If condition has the same shape as x and y, then it chooses which element to copy from x and y.

For example:

# 'condition' tensor is [[True,  False]
#                        [False, True]]
# 't' is [[1, 2],
#         [3, 4]]
# 'e' is [[5, 6],
#         [7, 8]]
select(condition, t, e)  # => [[1, 6], [7, 4]]

# 'condition' tensor is [True, False]
# 't' is [[1, 2],
#         [3, 4]]
# 'e' is [[5, 6],
#         [7, 8]]
select(condition, t, e) ==> [[1, 2],
                             [7, 8]]

  

  
Arguments:

      
scope: A Scope object
      
x: = A Tensor which may have the same shape as condition. If condition is rank 1, x may have higher rank, but its first dimension must match the size of condition.
      
y: = A Tensor with the same type and shape as x.
    

  
Returns:

      
Output: = A Tensor with the same type and shape as x and y. 
    

  

    

      

        
Constructors and Destructors
      
    
    

      

        Where3(const ::tensorflow::Scope & scope, ::tensorflow::Input condition, ::tensorflow::Input x, ::tensorflow::Input y)
        

      
    
  
  

    

      

        
Public attributes
      
    
    

      

        operation
      
      

        

          Operation
        
      
    
    

      

        output
      
      

        

          ::tensorflow::Output
        
      
    
  
  

    

      

        
Public functions
      
    
    

      

        node() const 
      
      

        

          ::tensorflow::Node *
        
      
    
    

      

        operator::tensorflow::Input() const 
      
      

        

          
        

      
    
    

      

        operator::tensorflow::Output() const 
      
      

        

          
        

      
    
  
  
Public attributes
  

    
operation
    
Operation operation
    

  
  

    
output
    
::tensorflow::Output output
    

  
  
Public functions
  

    
Where3
    
 Where3(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input condition,
  ::tensorflow::Input x,
  ::tensorflow::Input y
)
    

  
  

    
node
    
::tensorflow::Node * node() const 
    

  
  

    
operator::tensorflow::Input
    
 operator::tensorflow::Input() const 
    

  
  

    
operator::tensorflow::Output
    
 operator::tensorflow::Output() const