#include <array_ops.h>
Gather values or slices from params
according to indices
.
params
is a Tensor of rank P
and indices
is a Tensor of rank Q
.
indices
must be integer tensor, containing indices into params
. It must be shape [d_0, ..., d_{Q-2}, K]
where 0 < K <= P
.
The innermost dimension of indices
(with length K
) corresponds to indices into elements (if K = P
) or slices (if K < P
) along the K
th dimension of params
.
Produces an output tensor with shape
``` [d_0, ..., d_{Q-2}, params.shape[K], ..., params.shape[P-1]]. ```
Some examples below.
Simple indexing into a matrix:
```python indices = [[0, 0], [1, 1]] params = [['a', 'b'], ['c', 'd']] output = ['a', 'd'] ```
Slice indexing into a matrix:
```python indices = [[1], [0]] params = [['a', 'b'], ['c', 'd']] output = [['c', 'd'], ['a', 'b']] ```
Indexing into a 3-tensor:
```python indices = [[1]] params = [[['a0', 'b0'], ['c0', 'd0']], [['a1', 'b1'], ['c1', 'd1']]] output = [[['a1', 'b1'], ['c1', 'd1']]]
indices = [[0, 1], [1, 0]] params = [[['a0', 'b0'], ['c0', 'd0']], [['a1', 'b1'], ['c1', 'd1']]] output = [['c0', 'd0'], ['a1', 'b1']] indices = [[0, 0, 1], [1, 0, 1]] params = [[['a0', 'b0'], ['c0', 'd0']], [['a1', 'b1'], ['c1', 'd1']]] output = ['b0', 'b1']```
Batched indexing into a matrix:
```python indices = [[[0, 0]], [[0, 1]]] params = [['a', 'b'], ['c', 'd']] output = [['a'], ['b']] ```
Batched slice indexing into a matrix:
```python indices = [[[1]], [[0]]] params = [['a', 'b'], ['c', 'd']] output = [[['c', 'd']], [['a', 'b']]] ```
Batched indexing into a 3-tensor:
```python indices = [[[1]], [[0]]] params = [[['a0', 'b0'], ['c0', 'd0']], [['a1', 'b1'], ['c1', 'd1']]] output = [[[['a1', 'b1'], ['c1', 'd1']]], [[['a0', 'b0'], ['c0', 'd0']]]]
indices = [[[0, 1], [1, 0]], [[0, 0], [1, 1]]] params = [[['a0', 'b0'], ['c0', 'd0']], [['a1', 'b1'], ['c1', 'd1']]] output = [[['c0', 'd0'], ['a1', 'b1']], [['a0', 'b0'], ['c1', 'd1']]]
indices = [[[0, 0, 1], [1, 0, 1]], [[0, 1, 1], [1, 1, 0]]] params = [[['a0', 'b0'], ['c0', 'd0']], [['a1', 'b1'], ['c1', 'd1']]] output = [['b0', 'b1'], ['d0', 'c1']]```
Arguments:
P-D
. The tensor from which to gather values.Q-D
. Index tensor having shape [d_0, ..., d_{Q-2}, K]
.Returns:
Output
: (P+Q-K-1)-D
. Values from params
gathered from indices given by indices
. Constructors and Destructors | |
---|---|
GatherNd(const ::tensorflow::Scope & scope, ::tensorflow::Input params, ::tensorflow::Input indices) |
Public attributes | |
---|---|
output |
Public functions | |
---|---|
node() const | ::tensorflow::Node * |
operator::tensorflow::Input() const | |
operator::tensorflow::Output() const |
::tensorflow::Output output
GatherNd( const ::tensorflow::Scope & scope, ::tensorflow::Input params, ::tensorflow::Input indices )
::tensorflow::Node * node() const
operator::tensorflow::Input() const
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/gather-nd.html