pytorch/caffe2/python/operator_test/relu_op_test.py
Yangqing Jia d315c62e72 Kick fbsync
Summary:
fbshipit-source-id: 886ac051235a878b5b0fe294619bb6184d5d24ab

(Note: this ignores all push blocking failures!)

Reviewed By: dzhulgakov

Differential Revision: D5947236

fbshipit-source-id: c3f7d00d5d7faad6366d4c456fffb9387f30b2aa
2017-09-29 16:31:11 -07:00

47 lines
1.5 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 hypothesis.strategies as st
import caffe2.python.hypothesis_test_util as hu
import caffe2.python.mkl_test_util as mu
import numpy as np
import unittest
class TestRelu(hu.HypothesisTestCase):
@given(X=hu.tensor(),
engine=st.sampled_from(["", "CUDNN"]),
**mu.gcs)
def test_relu(self, X, gc, dc, engine):
op = core.CreateOperator("Relu", ["X"], ["Y"], engine=engine)
# go away from the origin point to avoid kink problems
X += 0.02 * np.sign(X)
X[X == 0.0] += 0.02
self.assertDeviceChecks(dc, op, [X], [0])
self.assertGradientChecks(gc, op, [X], 0, [0])
if __name__ == "__main__":
unittest.main()