tensorflow::ops::Where

#include <array_ops.h>

Returns locations of nonzero / true values in a 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]]

condition tensor is [[[1.5, 0.0]

[-0.5, 0.0]]

[[0.0, 0.25]

[0.0, 0.75]]

[[0.0, 0.0]

[0.0, 0.01]]]

'input' has 5 nonzero 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]]

condition tensor is [[[1.5 + 0.0j, 0.0 + 0.0j]

[0.0 + 0.5j, 0.0 + 0.0j]]

[[0.0 + 0.0j, 0.25 + 1.5j]

[0.0 + 0.0j, 0.75 + 0.0j]]

[[0.0 + 0.0j, 0.0 + 0.0j]

[0.0 + 0.0j, 0.01 + 0.0j]]]

'input' has 5 nonzero magnitude 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:

Constructors and Destructors

Where(const ::tensorflow::Scope & scope, ::tensorflow::Input condition)

Public attributes

index

Public functions

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