mindspore.ops.Slice

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class mindspore.ops.Slice[source]

Slices a tensor in the specified shape.

Refer to mindspore.ops.slice() for more details.

Inputs:

  • input_x (Tensor): The target tensor. The shape is \((N, *)\) where \(*\) means, any number of additional dimensions.

  • begin (Union[tuple, list]): The beginning of the slice. Only constant value(>=0) is allowed.

  • size (Union[tuple, list]): The size of the slice. Only constant value is allowed.

Outputs:

Tensor, the shape is the same as that of size, the data type is the same as input_x.

Supported Platforms:

Ascend GPU CPU

Examples

>>> from mindspore import Tensor
>>> from mindspore import ops
>>> import numpy as np
>>> data = Tensor(np.array([[[1, 1, 1], [2, 2, 2]],
...                         [[3, 3, 3], [4, 4, 4]],
...                         [[5, 5, 5], [6, 6, 6]]]).astype(np.int32))
>>> slice_op = ops.Slice()
>>> output = slice_op(data, (1, 0, 0), (1, 1, 3))
>>> print(output)
[[[3 3 3]]]
>>> output = slice_op(data, (1, 0, 0), (1, 1, 2))
>>> print(output)
[[[3 3]]]
>>> output = slice_op(data, (1, 0, 0), (1, 1, 1))
>>> print(output)
[[[3]]]
>>> output = slice_op(data, (1, 1, 0), (1, 1, 3))
>>> print(output)
[[[4 4 4]]]
>>> output = slice_op(data, (1, 0, 1), (1, 1, 2))
>>> print(output)
[[[3 3]]]