Selects elements from
y, depending on
y tensors must all have the same shape, and the output will also have that shape.
condition tensor must be a scalar if
y are scalars. If
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
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).
condition is a vector and
y are higher rank matrices, then it chooses which row (outer dimension) to copy from
condition has the same shape as
y, then it chooses which element to copy from
# '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]]
Tensorwhich may have the same shape as
conditionis rank 1,
xmay have higher rank, but its first dimension must match the size of
Tensorwith the same type and shape as
|Constructors and Destructors|
| || |
Where3( const ::tensorflow::Scope & scope, ::tensorflow::Input condition, ::tensorflow::Input x, ::tensorflow::Input y )
::tensorflow::Node * node() const
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Code samples licensed under the Apache 2.0 License.