Coverage for mlprodict/onnxrt/ops_cpu/op_trilu.py: 94%
18 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 OpRun
11class Trilu(OpRun):
13 atts = {'upper': 1}
15 def __init__(self, onnx_node, desc=None, **options):
16 OpRun.__init__(self, onnx_node, desc=desc,
17 expected_attributes=Trilu.atts,
18 **options)
19 if self.upper not in (0, 1):
20 raise ValueError(f"upper must be 0 or 1 not {self.upper!r}.")
22 def _run(self, *inputs, attributes=None, verbose=0, fLOG=None): # pylint: disable=W0221
23 x = inputs[0]
24 k = 0 if len(inputs) == 1 else int(inputs[1])
25 if self.upper:
26 return (numpy.triu(x, k), )
27 return (numpy.tril(x, k), )
29 def to_python(self, inputs):
30 name = "triu" if self.upper else "tril"
31 return (
32 "import numpy",
33 "return numpy.%s(%s, int(%s))" % (
34 name, inputs[0], 0 if len(inputs) == 1 else inputs[1]))