Coverage for mlprodict/onnxrt/ops_cpu/op_solve.py: 92%

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 

10 

11 

12class Solve(OpRunBinaryNum): 

13 

14 atts = {'lower': False, 

15 'transposed': False} 

16 

17 def __init__(self, onnx_node, desc=None, **options): 

18 OpRunBinaryNum.__init__(self, onnx_node, desc=desc, 

19 expected_attributes=Solve.atts, 

20 **options) 

21 

22 def _find_custom_operator_schema(self, op_name): 

23 if op_name == "Solve": 

24 return SolveSchema() 

25 raise RuntimeError( # pragma: no cover 

26 "Unable to find a schema for operator '{}'.".format(op_name)) 

27 

28 def _run(self, a, b): # pylint: disable=W0221 

29 if self.inplaces.get(1, False): 

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), ) 

33 

34 def _infer_shapes(self, a, b): # pylint: disable=W0221,W0237 

35 return (b, ) 

36 

37 def _infer_types(self, a, b): # pylint: disable=W0221,W0237 

38 return (b, ) 

39 

40 def to_python(self, inputs): 

41 return ('from scipy.linalg import solve', 

42 "return solve({}, {}, lower={}, transposed={})".format( 

43 inputs[0], inputs[1], self.lower, self.transposed)) 

44 

45 

46class SolveSchema(OperatorSchema): 

47 """ 

48 Defines a schema for operators added in this package 

49 such as @see cl Solve. 

50 """ 

51 

52 def __init__(self): 

53 OperatorSchema.__init__(self, 'Solve') 

54 self.attributes = Solve.atts