Coverage for mlprodict/onnxrt/ops_cpu/op_mod.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 OpRun 

9 

10 

11class Mod(OpRun): 

12 

13 atts = {'fmod': 0} 

14 

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

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

17 expected_attributes=Mod.atts, 

18 **options) 

19 

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

21 if a.dtype in (numpy.float16, numpy.float32, numpy.float64): 

22 return (numpy.nan_to_num(numpy.fmod(a, b)), ) 

23 return (numpy.nan_to_num(numpy.mod(a, b)), ) 

24 

25 def to_python(self, inputs): 

26 return self._to_python_numpy(inputs, 'mod')