Coverage for mlprodict/onnxrt/ops_cpu/op_transpose.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 Transpose(OpRunUnaryNum): 

12 

13 atts = {'perm': []} 

14 

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

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

17 expected_attributes=Transpose.atts, 

18 **options) 

19 self.perm_ = None if len(self.perm) == 0 else self.perm 

20 

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

22 if self.perm_ is None: 

23 return (numpy.transpose(data), ) 

24 if len(self.perm_) != len(data.shape): 

25 raise RuntimeError( # pragma: no cover 

26 f"Inconsistent permutation {self.perm_!r} with shape {data.shape!r}.") 

27 return (numpy.transpose(data, axes=self.perm_), ) 

28 

29 def to_python(self, inputs): 

30 """ 

31 Returns a python code equivalent to this operator. 

32 

33 @param inputs inputs name 

34 @return imports, python code, both as strings 

35 """ 

36 lines = [ 

37 "if perm is None:", 

38 f" return numpy.transpose({inputs[0]})", 

39 f"return numpy.transpose({inputs[0]}, axes=perm)" 

40 ] 

41 return "import numpy", "\n".join(lines)