mirror of
https://github.com/saymrwulf/pytorch.git
synced 2026-05-15 21:00:47 +00:00
cbb03b8db8
Summary: as desc. Reviewed By: chocjy Differential Revision: D6240026 fbshipit-source-id: fa4dcccebc44b0a713946823b6f56e73d5d6146b
60 lines
1.7 KiB
Python
60 lines
1.7 KiB
Python
# Copyright (c) 2016-present, Facebook, Inc.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
##############################################################################
|
|
|
|
from __future__ import absolute_import
|
|
from __future__ import division
|
|
from __future__ import print_function
|
|
from __future__ import unicode_literals
|
|
|
|
from caffe2.python import core
|
|
from hypothesis import given
|
|
|
|
import caffe2.python.hypothesis_test_util as hu
|
|
import hypothesis.strategies as st
|
|
import numpy as np
|
|
|
|
|
|
@st.composite
|
|
def _data(draw):
|
|
dtype = draw(st.sampled_from([np.int32, np.int64]))
|
|
return draw(hu.tensor(dtype=dtype))
|
|
|
|
|
|
class TestMod(hu.HypothesisTestCase):
|
|
@given(
|
|
data=_data(),
|
|
divisor=st.integers(min_value=1, max_value=np.iinfo(np.int64).max),
|
|
inplace=st.booleans(),
|
|
**hu.gcs_cpu_only
|
|
)
|
|
def test_mod(self, data, divisor, inplace, gc, dc):
|
|
|
|
def ref(data):
|
|
output = data % divisor
|
|
return [output]
|
|
|
|
op = core.CreateOperator(
|
|
'Mod',
|
|
['data'],
|
|
['data' if inplace else 'output'],
|
|
divisor=divisor,
|
|
)
|
|
|
|
self.assertReferenceChecks(gc, op, [data], ref)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
import unittest
|
|
unittest.main()
|