Coverage for mlprodict/onnxrt/ops_cpu/op_concat.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 OpRun 

9 

10 

11class Concat(OpRun): 

12 

13 atts = {'axis': 0} 

14 python_inputs = ['*inputs'] 

15 

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

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

18 expected_attributes=Concat.atts, 

19 **options) 

20 

21 def _preprocess(self, a): 

22 if len(a.shape) == 0: 

23 raise RuntimeError( # pragma: no cover 

24 f"Concat: one input has an empty shape: {a!r}.") 

25 if self.axis >= len(a.shape): 

26 new_shape = a.shape + (1, ) * (self.axis + 1 - len(a.shape)) 

27 return a.reshape(new_shape) 

28 return a 

29 

30 def _run(self, *args, attributes=None, verbose=0, fLOG=None): # pylint: disable=W0221 

31 targs = tuple(self._preprocess(a) for a in args) 

32 return (numpy.concatenate(targs, self.axis), ) 

33 

34 def to_python(self, inputs): 

35 return "import numpy", "return numpy.concatenate(inputs, axis=axis)"