Coverage for mlprodict/onnxrt/ops_cpu/op_relu.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 Relu(OpRunUnaryNum): 

12 

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

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

15 **options) 

16 

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

18 if self.inplaces.get(0, False) and x.flags['WRITEABLE']: 

19 return self._run_inplace(x) 

20 return (numpy.maximum(x, 0), ) 

21 

22 def _run_inplace(self, x): 

23 return (numpy.maximum(x, 0, out=x), ) 

24 

25 def to_python(self, inputs): 

26 return ("import numpy", f"return numpy.maximum({inputs[0]}, 0)") 

27 

28 

29class ThresholdedRelu(OpRunUnaryNum): 

30 

31 atts = {'alpha': 1.0} 

32 

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

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

35 expected_attributes=ThresholdedRelu.atts, 

36 **options) 

37 

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

39 if self.inplaces.get(0, False) and x.flags['WRITEABLE']: 

40 return self._run_inplace(x) 

41 return (numpy.maximum(x, self.alpha), ) 

42 

43 def _run_inplace(self, x): 

44 return (numpy.maximum(x, self.alpha, out=x), ) 

45 

46 def to_python(self, inputs): 

47 return ("import numpy", f"return numpy.maximum({inputs[0]}, alpha)")