Coverage for mlprodict/onnxrt/ops_cpu/op_hard_sigmoid.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 OpRunUnaryNum 

9 

10 

11class HardSigmoid(OpRunUnaryNum): 

12 

13 atts = {'alpha': 0.2, 'beta': 0.5} 

14 

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

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

17 expected_attributes=HardSigmoid.atts, 

18 **options) 

19 

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

21 if self.inplaces.get(0, False): 

22 return self._run_inplace(x) 

23 y = numpy.maximum(0, numpy.minimum(1, x * self.alpha + self.beta)) 

24 return (y, ) 

25 

26 def _run_inplace(self, x): 

27 x *= self.alpha 

28 x += self.beta 

29 numpy.minimum(x, 1, out=x) 

30 numpy.maximum(x, 0, out=x) 

31 return (x, ) 

32 

33 def to_python(self, inputs): 

34 return ( 

35 "import numpy", 

36 "return numpy.maximum(0, numpy.minimum(1, {0} * {1} + {2}))".format( 

37 inputs[0], self.alpha, self.beta))