mindspore.ops.Squeeze

class mindspore.ops.Squeeze(axis=())[source]

Return the Tensor after deleting the dimension of size 1 in the specified axis.

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

Parameters: axis (Union[int, tuple(int)]) – Specifies the dimension indexes of shape to be removed, which will remove all the dimensions of size 1 in the given axis parameter. If specified, it must be int32 or int64. Default: () .

Inputs:

input_x (Tensor) - The shape of tensor is \((x_1, x_2, ..., x_R)\).

Outputs:

Tensor, the shape of tensor is \((x_1, x_2, ..., x_S)\).

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> input_x = Tensor(np.ones(shape=[3, 2, 1]), mindspore.float32)
>>> squeeze = ops.Squeeze(2)
>>> output = squeeze(input_x)
>>> print(output)
[[1. 1.]
 [1. 1.]
 [1. 1.]]