Coverage for mlprodict/onnxrt/ops_cpu/op_reduce_log_sum.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 OpRunReduceNumpy 

9 

10 

11class ReduceLogSum(OpRunReduceNumpy): 

12 

13 atts = {'axes': [], 'keepdims': 1} 

14 

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

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

17 expected_attributes=ReduceLogSum.atts, 

18 **options) 

19 

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

21 tax = tuple(self.axes) if self.axes else None 

22 res = numpy.sum(data, axis=tax, keepdims=self.keepdims) 

23 if len(res.shape) > 0: 

24 return (numpy.log(res, out=res), ) 

25 return (numpy.log(res), )