Coverage for mlprodict/onnxrt/ops_cpu/op_det.py: 100%

1# -*- encoding: utf-8 -*- 

2# pylint: disable=E0203,E1101,C0111 

3""" 

4@file 

5@brief Runtime operator. 

6""" 

7import numpy 

8from ..shape_object import ShapeObject 

9from ._op import OpRun 

10 

11 

12class Det(OpRun): 

13 

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

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

16 **options) 

17 

18 def _run(self, x): # pylint: disable=W0221 

19 res = numpy.linalg.det(x) 

20 if not isinstance(res, numpy.ndarray): 

21 res = numpy.array([res]) 

22 return (res, ) 

23 

24 def _infer_shapes(self, x): # pylint: disable=W0221 

25 return (ShapeObject(None, dtype=x.dtype, 

26 name=self.__class__.__name__), ) 

27 

28 def _infer_types(self, x): # pylint: disable=W0221 

29 return (x, ) 

30 

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

32 res = self.run(*args, **kwargs) 

33 return (dict(temp=0), ) + res 

34 

35 def to_python(self, inputs): 

36 return ('from numpy.linalg import det as npy_det', 

37 "\n".join([ 

38 "res = npy_det({})".format(inputs[0]), 

39 "if not isinstance(res, ndarray):", 

40 " res = numpy.array([res])", 

41 "return res"]))