tensorflow::ops::Where
tensorflow::ops::Where
#include <array_ops.h>
Returns locations of true values in a boolean tensor.
Summary
This operation returns the coordinates of true elements in condition
. The coordinates are returned in a 2-D tensor where the first dimension (rows) represents the number of true elements, and the second dimension (columns) represents the coordinates of the true elements. Keep in mind, the shape of the output tensor can vary depending on how many true values there are in condition
. Indices are output in row-major order.
For example:
``` 'input' tensor is [[True, False]
[True, False]]
'input' has two true values, so output has two coordinates.
'input' has rank of 2, so coordinates have two indices.
where(input) ==> [[0, 0], [1, 0]]
condition
tensor is [[[True, False]
[True, False]]
[[False, True]
[False, True]]
[[False, False]
[False, True]]]
'input' has 5 true values, so output has 5 coordinates.
'input' has rank of 3, so coordinates have three indices.
where(input) ==> [[0, 0, 0], [0, 1, 0], [1, 0, 1], [1, 1, 1], [2, 1, 1]] ```
Arguments:
- scope: A Scope object
Returns:
-
Output
: The index tensor.
Constructors and Destructors | |
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Where(const ::tensorflow::Scope & scope, ::tensorflow::Input condition) |
Public attributes | |
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index |
Public functions | |
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node() const | ::tensorflow::Node * |
operator::tensorflow::Input() const | |
operator::tensorflow::Output() const |
Public attributes
index
::tensorflow::Output index
Public functions
Where
Where( const ::tensorflow::Scope & scope, ::tensorflow::Input condition )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/where.html