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Specifications and Common Mistakes

- Specifications and Common Mistakes:

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mindspore.ops.GatherNd

class mindspore.ops.GatherNd[source]

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:

o u t p u t [(i_{0}, . . ., i_{K - 2})] = i n p u t_x [i n d i c e s [(i_{0}, . . ., i_{K - 2})]]

The last dimension of indices can not more than the rank of input_x: $i n d i c e s . s h a p e [- 1] <= i n p u t_x . r a n k$ .

Inputs:

input_x (Tensor) - The target tensor to gather values. The shape is $(N, *)$ where $*$ means,any number of additional dimensions.
indices (Tensor) - The index tensor, with int32 or int64 data type. The dimension of indices should be <= the dimension of input_x.

Outputs:

Tensor, has the same type as input_x and the shape is indices_shape[:-1] + 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

>>> op = ops.GatherNd()
>>> 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 = op(input_x, indices)
>>> print(output)
[-0.1  0.5]