mindspore.ops.gather_nd

mindspore.ops.gather_nd(input_x, indices)

Gathers slices from a tensor by indices.

Using given indices to gather slices from a tensor with a specified shape.

indices is an K-dimensional integer tensor. Supposes it as a (K-1)-dimensional tensor and each element of it defines a slice of input_x:

\[output[(i_0, ..., i_{K-2})] = input\_x[indices[(i_0, ..., i_{K-2})]]\]

The last dimension of indices can not more than the rank of input_x:

\(indices.shape[-1] <= input\_x.rank\).

Parameters

• input_x (Tensor) – The target tensor to gather values.

• indices (Tensor) – The index tensor, with int32 or int64 data type.

Returns

Tensor, has the same type as input_x and the shape is \(indices\_shape[:-1] + input\_x\_shape[indices\_shape[-1]:]\).

Raises

ValueError – If length of shape of input_x is less than the last dimension of indices.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> input_x = Tensor(np.array([[-0.1, 0.3, 3.6], [0.4, 0.5, -3.2]]), mindspore.float32)
>>> indices = Tensor(np.array([[0, 0], [1, 1]]), mindspore.int32)
>>> output = ops.gather_nd(input_x, indices)
>>> print(output)
[-0.1  0.5]