1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
|
### `tf.gather_nd(params, indices, name=None)` {#gather_nd}
Gather values from `params` according to `indices`.
`indices` must be integer tensor, containing indices into `params`.
It must be shape `[d_0, ..., d_N, R]` where `R` is the rank of `params`.
The innermost dimension of `indices` (with length `R`) corresponds to the
indices of `params`.
Produces an output tensor with shape `[d_0, ..., d_{n-1}]` where:
output[i, j, k, ...] = params[indices[i, j, k, ..., :]]
e.g. for `indices` a matrix:
output[i] = params[indices[i, :]]
##### Args:
* <b>`params`</b>: A `Tensor`. R-D. The tensor from which to gather values.
* <b>`indices`</b>: A `Tensor`. Must be one of the following types: `int32`, `int64`.
(N+1)-D. Index tensor having shape `[d_0, ..., d_N, R]`.
* <b>`name`</b>: A name for the operation (optional).
##### Returns:
A `Tensor`. Has the same type as `params`.
N-D. Values from `params` gathered from indices given by `indices`.
|
