/TensorFlow C++

# tensorflow::ops::GatherNd

`#include <array_ops.h>`

Gather slices from `params` into a Tensor with shape specified by `indices`.

## Summary

`indices` is an K-dimensional integer tensor, best thought of as a (K-1)-dimensional tensor of indices into `params`, where each element defines a slice of `params`:

```output[i_0, ..., i_{K-2}] = params[indices[i0, ..., i_{K-2}]]
```

Whereas in tf.gather `indices` defines slices into the first dimension of `params`, in `tf.gather_nd`, `indices` defines slices into the first `N` dimensions of `params`, where `N = indices.shape[-1]`.

The last dimension of `indices` can be at most the rank of `params`:

```indices.shape[-1] <= params.rank
```

The last dimension of `indices` corresponds to elements (if `indices.shape[-1] == params.rank`) or slices (if `indices.shape[-1] < params.rank`) along dimension `indices.shape[-1]` of `params`. The output tensor has shape

```indices.shape[:-1] + params.shape[indices.shape[-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:

• scope: A Scope object
• params: The tensor from which to gather values.
• indices: Index tensor.

Returns:

• `Output`: Values from `params` gathered from indices given by `indices`, with shape `indices.shape[:-1] + params.shape[indices.shape[-1]:]`.
Constructors and Destructors
`GatherNd(const ::tensorflow::Scope & scope, ::tensorflow::Input params, ::tensorflow::Input indices)`
Public attributes
`output`
`::tensorflow::Output`
Public functions
`node() const `
`::tensorflow::Node *`
`operator::tensorflow::Input() const `
`operator::tensorflow::Output() const `

## Public attributes

### output

`::tensorflow::Output output`

## Public functions

### GatherNd

``` GatherNd(
const ::tensorflow::Scope & scope,
::tensorflow::Input params,
::tensorflow::Input indices
)```

### node

`::tensorflow::Node * node() const `

### operator::tensorflow::Input

`operator::tensorflow::Input() const `

### operator::tensorflow::Output

`operator::tensorflow::Output() const `