mindspore.ops.Slice
- 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: input 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]]]