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Specifications and Common Mistakes

- Specifications and Common Mistakes:

- Misspellings or punctuation mistakes,incorrect formulas, abnormal display.

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Risk Warnings

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Problem description

Describe the bug so that we can quickly locate the problem.

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 (x1,x2,...,xR).

Outputs:

Tensor, the shape of tensor is (x1,x2,...,xS).

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.]]