# tensorflow::ops::GatherV2

`#include <array_ops.h>`

Gather slices from `params` axis `axis` according to `indices`.

## Summary

`indices` must be an integer tensor of any dimension (usually 0-D or 1-D). Produces an output tensor with shape `params.shape[:axis] + indices.shape + params.shape[axis + 1:]` where:

```python Scalar indices (output is rank(params) - 1).

output[a_0, ..., a_n, b_0, ..., b_n] = params[a_0, ..., a_n, indices, b_0, ..., b_n]

Vector indices (output is rank(params)).

output[a_0, ..., a_n, i, b_0, ..., b_n] = params[a_0, ..., a_n, indices[i], b_0, ..., b_n]

Higher rank indices (output is rank(params) + rank(indices) - 1).

output[a_0, ..., a_n, i, ..., j, b_0, ... b_n] = params[a_0, ..., a_n, indices[i, ..., j], b_0, ..., b_n] ```

Arguments:

• scope: A Scope object
• params: The tensor from which to gather values. Must be at least rank `axis + 1`.
• indices: Index tensor. Must be in range `[0, params.shape[axis])`.
• axis: The axis in `params` to gather `indices` from. Defaults to the first dimension. Supports negative indexes.

Returns:

• `Output`: Values from `params` gathered from indices given by `indices`, with shape `params.shape[:axis] + indices.shape + params.shape[axis + 1:]`.

### Constructors and Destructors

`GatherV2(const ::tensorflow::Scope & scope, ::tensorflow::Input params, ::tensorflow::Input indices, ::tensorflow::Input axis)`

### 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

### GatherV2

``` GatherV2(
const ::tensorflow::Scope & scope,
::tensorflow::Input params,
::tensorflow::Input indices,
::tensorflow::Input axis
)```

### node

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

### operator::tensorflow::Input

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

### operator::tensorflow::Output

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