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

1# -*- encoding: utf-8 -*- 

2# pylint: disable=E0203,E1101,C0111 

3""" 

4@file 

5@brief Runtime operator. 

6""" 

7import numpy 

8from ._op import OpRunUnary 

9 

10 

11class IsInf(OpRunUnary): 

12 

13 atts = {'detect_negative': 1, 'detect_positive': 1} 

14 

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

16 OpRunUnary.__init__(self, onnx_node, desc=desc, 

17 expected_attributes=IsInf.atts, 

18 **options) 

19 

20 def _run(self, data): # pylint: disable=W0221 

21 if self.detect_negative: 

22 if self.detect_positive: 

23 return (numpy.isinf(data), ) 

24 return (numpy.isposinf(data), ) 

25 elif self.detect_positive: 

26 return (numpy.isneginf(data), ) 

27 else: 

28 res = numpy.full(data.shape, dtype=numpy.bool_, fill_value=False) 

29 return (res, ) 

30 

31 def _infer_shapes(self, x): # pylint: disable=W0221 

32 return (x.copy(dtype=numpy.bool_), ) 

33 

34 def _infer_types(self, x): # pylint: disable=W0221 

35 return (numpy.bool_, ) 

36 

37 def to_python(self, inputs): 

38 return self._to_python_numpy(inputs, 'isnan')