#include <array_ops.h>
Returns locations of true values in a boolean tensor.
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:
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 |
::tensorflow::Output index
Where( const ::tensorflow::Scope & scope, ::tensorflow::Input condition )
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output() const
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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