Coverage for mlprodict/onnxrt/ops_cpu/op_lp_normalization.py: 81%
16 statements
« prev ^ index » next coverage.py v7.1.0, created at 2023-02-04 02:28 +0100
« prev ^ index » next coverage.py v7.1.0, created at 2023-02-04 02:28 +0100
1# -*- encoding: utf-8 -*-
2# pylint: disable=E0203,E1101,C0111
3"""
4@file
5@brief Runtime operator.
6"""
7import numpy
8from ._op import OpRunUnaryNum
11class LpNormalization(OpRunUnaryNum):
13 atts = {'axis': -1, 'p': 2}
15 def __init__(self, onnx_node, desc=None, **options):
16 OpRunUnaryNum.__init__(self, onnx_node, desc=desc,
17 expected_attributes=LpNormalization.atts,
18 **options)
20 def _run(self, x, attributes=None, verbose=0, fLOG=None): # pylint: disable=W0221
21 norm = numpy.power(numpy.power(x, self.p).sum(
22 axis=self.axis), 1. / self.p)
23 norm = numpy.expand_dims(norm, self.axis)
24 if self.inplaces.get(0, False) and x.flags['WRITEABLE']:
25 return self._run_inplace(x, norm)
26 return (x / norm, )
28 def _run_inplace(self, x, norm):
29 x /= norm
30 return (x, )