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]]

Args:

• 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

Operation operation

::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