mindspore.ops.Squeeze

class mindspore.ops.Squeeze(*args, **kwargs)[source]

Returns a tensor with the same data type but dimensions of 1 are removed based on axis.

If axis is specified, it will remove the dimensions of size 1 in the given axis. It axis is None, it will remove all the dimensions of size 1.

Note

The dimension index starts at 0 and must be in the range [-input.ndim, input.ndim].

Parameters

axis (Union[int, tuple(int)]) – Specifies the dimension indexes of shape to be removed, which will remove all the dimensions that are equal to 1. If specified, it must be int32 or int64. Default: (), an empty tuple.

Inputs:

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

Outputs:

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

Raises

  • TypeError – If axis is neither an int nor tuple.

  • TypeError – If axis is a tuple whose elements are not all int.

  • ValueError – If the corresponding dimension of the specified axis does not equal to 1.

Supported Platforms:

Ascend GPU CPU

Examples

>>> 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.]]