module onnxrt.ops_cpu.op_unsqueeze

Short summary

module mlprodict.onnxrt.ops_cpu.op_unsqueeze

Runtime operator.

source on GitHub

Classes

class	truncated documentation
Unsqueeze_1
Unsqueeze_11
Unsqueeze_13	Unsqueeze ========= Insert single-dimensional entries to the shape of an input tensor (data). Takes one required input …
Unsqueeze_13	Unsqueeze ========= Insert single-dimensional entries to the shape of an input tensor (data). Takes one required input …

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_unsqueeze.Unsqueeze

alias of Unsqueeze_13

class mlprodict.onnxrt.ops_cpu.op_unsqueeze.Unsqueeze_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_unsqueeze.Unsqueeze_11(onnx_node, desc=None, **options)

Bases: Unsqueeze_1

class mlprodict.onnxrt.ops_cpu.op_unsqueeze.Unsqueeze_13(onnx_node, desc=None, **options)

Bases: OpRun

Unsqueeze

Insert single-dimensional entries to the shape of an input tensor (data). Takes one required input axes - which contains a list of dimension indices and this operator will insert a dimension of value 1 into the corresponding index of the output tensor (expanded).

For example:

Given an input tensor (data) of shape [3, 4, 5], then Unsqueeze(data, axes=[0, 4]) outputs a tensor (expanded) containing same data as data but with shape [1, 3, 4, 5, 1].

The input axes should not contain any duplicate entries. It is an error if it contains duplicates. The rank of the output tensor (output_rank) is the rank of the input tensor (data) plus the number of values in axes. Each value in axes should be within the (inclusive) range [-output_rank , output_rank - 1]. The order of values in axes does not matter and can come in any order.

Inputs

• data (heterogeneous)T: Original tensor

• axes (heterogeneous)tensor(int64): List of integers indicating the dimensions to be inserted. Negative value means counting dimensions from the back. Accepted range is [-r, r-1] where r = rank(expanded).

Outputs

• expanded (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: Unsqueeze

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

Runtime implementation: Unsqueeze

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

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

Should be overwritten.

source on GitHub