Source code for mlprodict.onnxrt.ops_cpu.op_lp_normalization

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


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



[docs]class LpNormalization(OpRunUnaryNum):

    atts = {'axis': -1, 'p': 2}


[docs]    def __init__(self, onnx_node, desc=None, **options):
        OpRunUnaryNum.__init__(self, onnx_node, desc=desc,
                               expected_attributes=LpNormalization.atts,
                               **options)



[docs]    def _run(self, x):  # pylint: disable=W0221
        norm = numpy.power(numpy.power(x, self.p).sum(
            axis=self.axis), 1. / self.p)
        norm = numpy.expand_dims(norm, self.axis)
        if self.inplaces.get(0, False):
            return self._run_inplace(x, norm)
        return (x / norm, )



[docs]    def _run_inplace(self, x, norm):
        x /= norm
        return (x, )