tensorflow::ops::Where3

#include <math_ops.h>

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
      

        
      





        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