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:

```python '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.

Public attributes

::tensorflow::Output output

Public functions

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

::tensorflow::Node * node() const 

operator::tensorflow::Input() const 

operator::tensorflow::Output() const