# Where3

public final class Where3

Selects elements from `x` or `y`, depending on `condition`.

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)  # =&gt; [[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) ==&gt; [[1, 2],
[7, 8]]

``````

### Public Methods

 Output asOutput() Returns the symbolic handle of a tensor. static Where3 create(Scope scope, Operand condition, Operand x, Operand y) Factory method to create a class wrapping a new Where3 operation. Output output() = A `Tensor` with the same type and shape as `x` and `y`.

## Public Methods

#### public Output<T> asOutput()

Returns the symbolic handle of a tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

#### public static Where3<T> create(Scope scope, Operand<Boolean> condition, Operand<T> x, Operand<T> y)

Factory method to create a class wrapping a new Where3 operation.

##### Parameters
scope current scope = 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`. = A `Tensor` with the same type and shape as `x`.
##### Returns
• a new instance of Where3

#### public Output<T> output()

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

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