mindspore.mint.narrow

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mindspore.mint.narrow(input, dim, start, length)[source]

Obtains a tensor of a specified length at a specified start position along a specified axis.

Parameters

  • input (Tensor) – the tensor to narrow.

  • dim (int) – the axis along which to narrow.

  • start (int) – the starting dimension.

  • length (int) – the distance to the ending dimension.

Returns

output (Tensors) - The narrowed tensor.

Raises

  • ValueError – the rank of input is 0.

  • ValueError – the value of dim is out the range [-input.ndim, input.ndim).

  • ValueError – the value of start is out the range [-input.shape[dim], input.shape[dim]].

  • ValueError – the value of length is out the range [0, input.shape[dim]-start].

Supported Platforms:

Ascend

Examples

>>> import mindspore
>>> from mindspore import mint
>>> from mindspore import Tensor
>>> x = Tensor([[1, 2, 3], [4, 5, 6], [7, 8, 9]], mindspore.int32)
>>> output = mint.narrow(x, 0, 0, 2)
>>> print(output)
[[ 1 2 3]
 [ 4 5 6]]
>>> output = mint.narrow(x, 1, 1, 2)
>>> print(output)
[[ 2 3]
 [ 5 6]
 [ 8 9]]