Coverage for mlprodict/onnxrt/ops_cpu/op_min.py: 92%

1# -*- encoding: utf-8 -*- 

2# pylint: disable=E0203,E1101,C0111 

3""" 

4@file 

5@brief Runtime operator. 

6""" 

7import numpy 

8from ._op import OpRunBinaryNumpy 

9 

10 

11class Min(OpRunBinaryNumpy): 

12 

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

14 OpRunBinaryNumpy.__init__(self, numpy.minimum, onnx_node, 

15 desc=desc, **options) 

16 

17 def run(self, *data): # pylint: disable=W0221 

18 if len(data) == 2: 

19 return OpRunBinaryNumpy.run(self, *data) 

20 if len(data) == 1: 

21 if self.inplaces.get(0, False): 

22 return (data, ) 

23 return (data.copy(), ) 

24 if len(data) > 2: 

25 a = data[0] 

26 for i in range(1, len(data)): 

27 a = numpy.minimum(a, data[i]) 

28 return (a, ) 

29 raise RuntimeError("Unexpected turn of events.") 

30 

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

32 res = x 

33 for i in range(len(y)): # pylint: disable=C0200 

34 res = OpRunBinaryNumpy._infer_shapes(self, res, y[i])[0] 

35 return (res, ) 

36 

37 def _infer_types(self, x, *y): # pylint: disable=W0221 

38 """ 

39 Returns the boolean type. 

40 """ 

41 return (x, )