Coverage for mlprodict/onnxrt/ops_cpu/op_shrink.py: 100%
11 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 Shrink(OpRunUnaryNum):
13 atts = {'bias': 0, 'lambd': 0.5}
15 def __init__(self, onnx_node, desc=None, **options):
16 OpRunUnaryNum.__init__(self, onnx_node, desc=desc,
17 expected_attributes=Shrink.atts,
18 **options)
20 def _run(self, x, attributes=None, verbose=0, fLOG=None): # pylint: disable=W0221
21 return (numpy.where(x < -self.lambd, x + self.bias,
22 numpy.where(x > self.lambd, x - self.bias, 0)), )
24 def to_python(self, inputs):
25 return (
26 "import numpy",
27 ("return numpy.where({0} < -lambd, {0} + bias, "
28 "numpy.where({0} > lambd, {0} - bias, 0))").format(inputs[0]))