Squeeze - version 11#

This page documents version 11 of operator Squeeze. See Squeeze for the latest version (since version 25).

  • Domain: ai.onnx

  • Since version: 11

Remove single-dimensional entries from the shape of a tensor. Takes a parameter axes with a list of axes to squeeze. If axes is not provided, all the single dimensions will be removed from the shape. If an axis is selected with shape entry not equal to one, an error is raised.

Inputs

  • data (T): Tensors with at least max(dims) dimensions.

Outputs

  • squeezed (T): Reshaped tensor with same data as input.

Attributes

  • axes (int[]): List of integers indicating the dimensions to squeeze. Negative value means counting dimensions from the back. Accepted range is [-r, r-1] where r = rank(data).

Type Constraints

  • T: Constrain input and output types to all tensor types. Allowed types: tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8).

Differences with previous version (1)#

SchemaDiff: Squeeze (domain 'ai.onnx')

  • old version: 1

  • new version: 11

  • breaking: no