Coverage for mlprodict/onnxrt/ops_cpu/op_roi_align.py: 78%

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_roi_align_ import RoiAlignFloat, RoiAlignDouble # pylint: disable=E0611 

10 

11 

12class RoiAlign(OpRun): 

13 

14 atts = {'coordinate_transformation_mode': b'half_pixel', 

15 'mode': b'avg', 

16 'output_height': 1, 

17 'output_width': 1, 

18 'sampling_ratio': 0, 

19 'spatial_scale': 1.} 

20 

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

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

23 expected_attributes=RoiAlign.atts, 

24 **options) 

25 self.rt32_ = None 

26 self.rt64_ = None 

27 

28 def _run(self, X, rois, batch_indices, attributes=None, verbose=0, fLOG=None): # pylint: disable=W0221 

29 if X.dtype == numpy.float32: 

30 if self.rt32_ is None: 

31 self.rt32_ = RoiAlignFloat() 

32 self.rt32_.init( 

33 self.coordinate_transformation_mode.decode('ascii'), 

34 self.mode.decode('ascii'), self.output_height, 

35 self.output_width, self.sampling_ratio, self.spatial_scale) 

36 rt = self.rt32_ 

37 elif X.dtype == numpy.float64: 

38 if self.rt64_ is None: 

39 self.rt64_ = RoiAlignDouble() 

40 self.rt64_.init( 

41 self.coordinate_transformation_mode.decode('ascii'), 

42 self.mode.decode('ascii'), self.output_height, 

43 self.output_width, self.sampling_ratio, self.spatial_scale) 

44 rt = self.rt64_ 

45 else: 

46 raise TypeError( # pragma: no cover 

47 f"Unexpected type {X.dtype!r} for X.") 

48 

49 res = rt.compute(X, rois, batch_indices) 

50 return (res, )