module onnxrt.ops_cpu.op_argmin

Short summary

module mlprodict.onnxrt.ops_cpu.op_argmin

Runtime operator.

source on GitHub

Classes

class	truncated documentation
_ArgMin	Base class for runtime for operator ArgMin. …
ArgMin_11
ArgMin_12	ArgMin ====== Computes the indices of the min elements of the input tensor’s element along the provided axis. The resulting …
ArgMin_12	ArgMin ====== Computes the indices of the min elements of the input tensor’s element along the provided axis. The resulting …

Functions

function	truncated documentation
_argmin
_argmin_use_numpy_select_last_index

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
to_python
to_python
to_python

Documentation

Runtime operator.

source on GitHub

mlprodict.onnxrt.ops_cpu.op_argmin.ArgMin

alias of ArgMin_12

class mlprodict.onnxrt.ops_cpu.op_argmin.ArgMin_11(onnx_node, desc=None, **options)

Bases: _ArgMin

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

to_python(inputs)

Returns a python code equivalent to this operator.

Parameters:

inputs – inputs name

Returns:

imports, python code, both as strings

source on GitHub

class mlprodict.onnxrt.ops_cpu.op_argmin.ArgMin_12(onnx_node, desc=None, **options)

Bases: _ArgMin

ArgMin

Computes the indices of the min elements of the input tensor’s element along the provided axis. The resulting tensor has the same rank as the input if keepdims equals 1. If keepdims equal 0, then the resulting tensor has the reduced dimension pruned. If select_last_index is True (default False), the index of the last occurrence of the min is selected if the min appears more than once in the input. Otherwise the index of the first occurrence is selected. The type of the output tensor is integer.

Attributes

• axis: The axis in which to compute the arg indices. Accepted range is [-r, r-1] where r = rank(data). Default value is nameaxisi0typeINT (INT)

• keepdims: Keep the reduced dimension or not, default 1 means keep reduced dimension. Default value is namekeepdimsi1typeINT (INT)

• select_last_index: Whether to select the last index or the first index if the {name} appears in multiple indices, default is False (first index). Default value is nameselectlastindexi0typeINT (INT)

Inputs

• data (heterogeneous)T: An input tensor.

Outputs

• reduced (heterogeneous)tensor(int64): Reduced output tensor with integer data type.

Type Constraints

• T tensor(uint8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(int8), tensor(int16), tensor(int32), tensor(int64), tensor(float16), tensor(float), tensor(double): Constrain input and output types to all numeric tensors.

Version

Onnx name: ArgMin

This version of the operator has been available since version 12.

Runtime implementation: ArgMin

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

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

Should be overwritten.

source on GitHub

to_python(inputs)

Returns a python code equivalent to this operator.

Parameters:

inputs – inputs name

Returns:

imports, python code, both as strings

source on GitHub

class mlprodict.onnxrt.ops_cpu.op_argmin._ArgMin(onnx_node, desc=None, expected_attributes=None, **options)

Bases: OpRunArg

Base class for runtime for operator ArgMin.

source on GitHub

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

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

Should be overwritten.

source on GitHub

mlprodict.onnxrt.ops_cpu.op_argmin._argmin(data, axis=0, keepdims=True)

mlprodict.onnxrt.ops_cpu.op_argmin._argmin_use_numpy_select_last_index(data, axis=0, keepdims=True)