Source code for mlprodict.onnxrt.ops_cpu.op_concat
# -*- encoding: utf-8 -*-
# pylint: disable=E0203,E1101,C0111
"""
Runtime operator.
:githublink:`%|py|7`
"""
import numpy
from ._op import OpRun
from ..shape_object import ShapeObject
[docs]class Concat(OpRun):
atts = {'axis': 0}
python_inputs = ['*inputs']
[docs] def __init__(self, onnx_node, desc=None, **options):
OpRun.__init__(self, onnx_node, desc=desc,
expected_attributes=Concat.atts,
**options)
[docs] def _preprocess(self, a):
if self.axis >= len(a.shape):
new_shape = a.shape + (1, ) * (self.axis + 1 - len(a.shape))
return a.reshape(new_shape)
return a
[docs] def _run(self, *args): # pylint: disable=W0221
targs = tuple(self._preprocess(a) for a in args)
return (numpy.concatenate(targs, self.axis), )
[docs] def _infer_shapes(self, *args): # pylint: disable=W0221
return (args[0].concat_columns(self.axis, *(args[1:])), )
[docs] def _infer_type(self, *args):
return ShapeObject._infer_merged_type(*args)
[docs] def to_python(self, inputs):
return "import numpy", "return numpy.concatenate(inputs, axis=axis)"