Coverage for mlprodict/onnxrt/ops_cpu/op_yield_op.py: 100%

1# -*- encoding: utf-8 -*- 

2# pylint: disable=E0203,E1101,C0111 

3""" 

4@file 

5@brief Runtime operator. 

6""" 

7from ._op import OpRunUnaryNum 

8from ._new_ops import OperatorSchema 

9 

10 

11class YieldOp(OpRunUnaryNum): 

12 

13 atts = {'full_shape_outputs': [], 

14 'non_differentiable_outputs': []} 

15 

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

17 OpRunUnaryNum.__init__(self, onnx_node, desc=desc, 

18 expected_attributes=YieldOp.atts, 

19 **options) 

20 

21 def _find_custom_operator_schema(self, op_name): 

22 if op_name == "YieldOp": 

23 return YieldOpSchema() 

24 raise RuntimeError( # pragma: no cover 

25 f"Unable to find a schema for operator '{op_name}'.") 

26 

27 def _run(self, a, attributes=None, verbose=0, fLOG=None): # pylint: disable=W0221 

28 if self.inplaces.get(0, False): 

29 return (a, ) 

30 return (a.copy(), ) 

31 

32 def to_python(self, inputs): 

33 return "", f"return {inputs[0]}.copy()" 

34 

35 

36class YieldOpSchema(OperatorSchema): 

37 """ 

38 Defines a schema for operators added in this package 

39 such as @see cl ComplexAbs. 

40 """ 

41 

42 def __init__(self): 

43 OperatorSchema.__init__(self, 'YieldOp') 

44 self.attributes = {}