Coverage for mlprodict/onnxrt/ops_cpu/op_grid_sample.py: 74%

1# -*- encoding: utf-8 -*- 

2# pylint: disable=E0203,E1101,C0111 

3""" 

4@file 

5@brief Runtime operator. 

6""" 

7import numpy 

8from ._op import OpRun 

9from .op_grid_sample_ import GridSampleFloat, GridSampleDouble # pylint: disable=E0611 

10 

11 

12class GridSample(OpRun): 

13 

14 atts = {'align_corners': 0, 

15 'mode': b'bilinear', 

16 'padding_mode': b'zeros'} 

17 

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

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

20 expected_attributes=GridSample.atts, 

21 **options) 

22 self.rt32_ = None 

23 self.rt64_ = None 

24 self.rt32_ = GridSampleFloat() 

25 self.rt64_ = GridSampleDouble() 

26 self.rt32_.init(self.align_corners, self.mode, self.padding_mode) 

27 self.rt64_.init(self.align_corners, self.mode, self.padding_mode) 

28 

29 def _run(self, X, grid, attributes=None, verbose=0, fLOG=None): # pylint: disable=W0221 

30 if X.dtype == numpy.float32: 

31 if self.rt32_ is None: 

32 self.rt32_ = GridSampleFloat() 

33 self.rt32_.init(self.align_corners, 

34 self.mode, self.padding_mode) 

35 rt = self.rt32_ 

36 elif X.dtype == numpy.float32: 

37 if self.rt64_ is None: 

38 self.rt64_ = GridSampleDouble() 

39 self.rt64_.init(self.align_corners, 

40 self.mode, self.padding_mode) 

41 rt = self.rt64_ 

42 else: 

43 raise TypeError( # pragma: no cover 

44 f"Unsupported type {X.dtype!r} for GridSample.") 

45 

46 res = rt.compute(X, grid) 

47 return (res, )