module onnxrt.ops_cpu.op_squeeze

Short summary

module mlprodict.onnxrt.ops_cpu.op_squeeze

Runtime operator.

source on GitHub

Classes

class	truncated documentation
Squeeze_1
Squeeze_11
Squeeze_13	Squeeze ======= Remove single-dimensional entries from the shape of a tensor. Takes an input axes with a list of axes …
Squeeze_13	Squeeze ======= Remove single-dimensional entries from the shape of a tensor. Takes an input axes with a list of axes …

Properties

property	truncated documentation
args_default	Returns the list of arguments as well as the list of parameters with the default values (close to the signature). …
args_default	Returns the list of arguments as well as the list of parameters with the default values (close to the signature). …
args_default	Returns the list of arguments as well as the list of parameters with the default values (close to the signature). …
args_default	Returns the list of arguments as well as the list of parameters with the default values (close to the signature). …
args_default_modified	Returns the list of modified parameters.
args_default_modified	Returns the list of modified parameters.
args_default_modified	Returns the list of modified parameters.
args_default_modified	Returns the list of modified parameters.
args_mandatory	Returns the list of optional arguments.
args_mandatory	Returns the list of optional arguments.
args_mandatory	Returns the list of optional arguments.
args_mandatory	Returns the list of optional arguments.
args_optional	Returns the list of optional arguments.
args_optional	Returns the list of optional arguments.
args_optional	Returns the list of optional arguments.
args_optional	Returns the list of optional arguments.
atts_value	Returns all parameters in a dictionary.
atts_value	Returns all parameters in a dictionary.
atts_value	Returns all parameters in a dictionary.
atts_value	Returns all parameters in a dictionary.

Methods

method	truncated documentation
__init__
__init__
__init__
__init__
_run
_run
_run
_run

Documentation

Runtime operator.

source on GitHub

mlprodict.onnxrt.ops_cpu.op_squeeze.Squeeze

alias of Squeeze_13

class mlprodict.onnxrt.ops_cpu.op_squeeze.Squeeze_1(onnx_node, desc=None, **options)

Bases: OpRunUnaryNum

__init__(onnx_node, desc=None, **options)

_run(data, attributes=None, verbose=0, fLOG=None)

Should be overwritten.

source on GitHub

class mlprodict.onnxrt.ops_cpu.op_squeeze.Squeeze_11(onnx_node, desc=None, **options)

Bases: Squeeze_1

class mlprodict.onnxrt.ops_cpu.op_squeeze.Squeeze_13(onnx_node, desc=None, **options)

Bases: OpRun

Squeeze

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

Between 1 and 2 inputs.

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

• axes (optional, heterogeneous)tensor(int64): 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).

Outputs

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

Type Constraints

• T tensor(uint8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(int8), tensor(int16), tensor(int32), tensor(int64), tensor(bfloat16), tensor(float16), tensor(float), tensor(double), tensor(string), tensor(bool), tensor(complex64), tensor(complex128): Constrain input and output types to all tensor types.

Version

Onnx name: Squeeze

This version of the operator has been available since version 13.

Runtime implementation: Squeeze

__init__(onnx_node, desc=None, **options)

_run(data, axes=None, attributes=None, verbose=0, fLOG=None)

Should be overwritten.

source on GitHub