module onnxrt.ops_cpu.op_solve#

Inheritance diagram of mlprodict.onnxrt.ops_cpu.op_solve

Short summary#

module mlprodict.onnxrt.ops_cpu.op_solve

Runtime operator.

source on GitHub

Classes#

class

truncated documentation

Solve

Solve (mlprodict) ================= Version Onnx name: Solve

SolveSchema

Defines a schema for operators added in this package such as Solve.

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_modified

Returns the list of modified parameters.

args_mandatory

Returns the list of optional arguments.

args_optional

Returns the list of optional arguments.

atts_value

Returns all parameters in a dictionary.

Methods#

method

truncated documentation

__init__

__init__

_find_custom_operator_schema

_infer_shapes

_infer_types

_run

to_python

Documentation#

Runtime operator.

source on GitHub

class mlprodict.onnxrt.ops_cpu.op_solve.Solve(mlprodict)#

Bases: OpRunBinaryNum

Version

Onnx name: Solve

This version of the operator has been available since version of domain mlprodict.

Runtime implementation: Solve

__init__(onnx_node, desc=None, **options)#
_find_custom_operator_schema(op_name)#
_infer_shapes(a, b)#

Returns the same shape by default. We assume the operator returns the biggest shapes as the operator could be using broacasting.

source on GitHub

_infer_types(a, b)#

Returns the boolean type.

source on GitHub

_run(a, b, 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_solve.SolveSchema#

Bases: OperatorSchema

Defines a schema for operators added in this package such as Solve.

source on GitHub

__init__()#