Coverage for mlprodict/onnxrt/ops_cpu/op_mean.py: 79%

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24 statements  

1# -*- encoding: utf-8 -*- 

2# pylint: disable=E0203,E1101,C0111 

3""" 

4@file 

5@brief Runtime operator. 

6""" 

7from ._op import OpRun 

8 

9 

10class Mean(OpRun): 

11 

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

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

14 **options) 

15 

16 def _run(self, *args): # pylint: disable=W0221 

17 if self.inplaces.get(0, False): 

18 return self._run_inplace(*args) 

19 res = args[0].copy() 

20 for m in args[1:]: 

21 res += m 

22 return (res / len(args), ) 

23 

24 def _run_inplace(self, *args): 

25 res = args[0] 

26 for m in args[1:]: 

27 res += m 

28 return (res / len(args), ) 

29 

30 def _infer_shapes(self, *args): # pylint: disable=W0221 

31 return (args[0], ) 

32 

33 def _infer_types(self, *args): # pylint: disable=W0221 

34 return (args[0], ) 

35 

36 def _infer_sizes(self, *args, **kwargs): 

37 res = self.run(*args, **kwargs) 

38 return (dict(temp=0), ) + res