Coverage for mlprodict/onnxrt/ops_cpu/op_solve.py: 95%
21 statements
« prev ^ index » next coverage.py v7.1.0, created at 2023-02-04 02:28 +0100
« prev ^ index » next coverage.py v7.1.0, created at 2023-02-04 02:28 +0100
1# -*- encoding: utf-8 -*-
2# pylint: disable=E0203,E1101,C0111
3"""
4@file
5@brief Runtime operator.
6"""
7from scipy.linalg import solve
8from ._op import OpRunBinaryNum
9from ._new_ops import OperatorSchema
12class Solve(OpRunBinaryNum):
14 atts = {'lower': False,
15 'transposed': False}
17 def __init__(self, onnx_node, desc=None, **options):
18 OpRunBinaryNum.__init__(self, onnx_node, desc=desc,
19 expected_attributes=Solve.atts,
20 **options)
22 def _find_custom_operator_schema(self, op_name):
23 if op_name == "Solve":
24 return SolveSchema()
25 raise RuntimeError( # pragma: no cover
26 f"Unable to find a schema for operator '{op_name}'.")
28 def _run(self, a, b, attributes=None, verbose=0, fLOG=None): # pylint: disable=W0221
29 if self.inplaces.get(1, False) and b.flags['WRITEABLE']:
30 return (solve(a, b, overwrite_b=True, lower=self.lower,
31 transposed=self.transposed), )
32 return (solve(a, b, lower=self.lower, transposed=self.transposed), )
34 def to_python(self, inputs):
35 return ('from scipy.linalg import solve',
36 "return solve({}, {}, lower={}, transposed={})".format(
37 inputs[0], inputs[1], self.lower, self.transposed))
40class SolveSchema(OperatorSchema):
41 """
42 Defines a schema for operators added in this package
43 such as @see cl Solve.
44 """
46 def __init__(self):
47 OperatorSchema.__init__(self, 'Solve')
48 self.attributes = Solve.atts