Source code for mlprodict.onnxrt.ops_cpu.op_feature_vectorizer

# -*- encoding: utf-8 -*-
# pylint: disable=E0203,E1101,C0111
"""
Runtime operator.


:githublink:`%|py|7`
"""
import numpy
from ._op import OpRun



[docs]class FeatureVectorizer(OpRun):
    """
    Very similar to :class:`Concat <mlprodict.onnxrt.ops_cpu.op_concat.Concat>`.


    :githublink:`%|py|14`
    """


[docs]    def __init__(self, onnx_node, desc=None, **options):
        OpRun.__init__(self, onnx_node, desc=desc,
                       **options)
        self.axis = 1



[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
        args = [self._preprocess(a) for a in args]
        res = numpy.concatenate(args, self.axis)
        return (res, )



[docs]    def _infer_shapes(self, *args):  # pylint: disable=W0221
        return (args[0].concat_columns(self.axis, *(args[1:])), )