Coverage for mlprodict/onnxrt/ops_cpu/op_reduce_log_sum.py: 88%

1# -*- encoding: utf-8 -*- 

2# pylint: disable=E0203,E1101,C0111 

3""" 

4@file 

5@brief Runtime operator. 

6""" 

7import numpy 

8from onnx.defs import onnx_opset_version 

9from ._op import OpRunReduceNumpy, OpRun 

10 

11 

12class ReduceLogSum_1(OpRunReduceNumpy): 

13 

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

15 

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

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

18 expected_attributes=ReduceLogSum_1.atts, 

19 **options) 

20 

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

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

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

24 if len(res.shape) > 0: 

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

26 return (numpy.log(res).astype(data.dtype), ) 

27 

28 

29class ReduceLogSum_18(OpRun): 

30 

31 atts = {'keepdims': 1, 'noop_with_empty_axes': 0} 

32 

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

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

35 expected_attributes=ReduceLogSum_18.atts, 

36 **options) 

37 

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

39 if ((axes is None or len(axes.shape) == 0 or axes.shape[0] == 0) and 

40 self.noop_with_empty_axes): 

41 return (data, ) 

42 if ((axes is not None and len(axes.shape) > 0 and axes.shape[0] > 0) and 

43 not isinstance(axes, int)): 

44 if isinstance(axes, numpy.ndarray) and len(axes.shape) == 0: 

45 axes = int(axes) 

46 else: 

47 axes = tuple(axes.ravel().tolist()) if len(axes) > 0 else None 

48 try: 

49 res = numpy.sum(data, axis=axes, keepdims=self.keepdims) 

50 if len(res.shape) > 0: 

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

52 return (numpy.log(res).astype(data.dtype), ) 

53 except TypeError as e: # pragma: no cover 

54 raise TypeError( 

55 f"Unable to reduce shape {data.shape!r} with axes={axes!r}.") from e 

56 

57 

58if onnx_opset_version() >= 18: 

59 ReduceLogSum = ReduceLogSum_18 

60else: # pragma: no cover 

61 ReduceLogSum = ReduceLogSum_1