Squeeze#

  • Domain: ai.onnx

  • Since version: 25

Remove single-dimensional entries from the shape of a tensor. Takes an input 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.

  • axes (tensor(int64)): 1D tensor 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).

Outputs

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

Type Constraints

  • T: Constrain input and output types to all tensor types up to IRv13. Allowed types: tensor(bfloat16), tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(float4e2m1), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(float8e8m0), tensor(int16), tensor(int2), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint2), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8).

Differences with previous version (24)#

SchemaDiff: Squeeze (domain 'ai.onnx')

  • old version: 24

  • new version: 25

  • breaking: no

Type constraints:

  • changed ‘T’: added types: [‘tensor(int2)’, ‘tensor(uint2)’]

Version History#