pytorch/caffe2/contrib/prof/cuda_profile_ops_test.py
Yangqing Jia 8286ce1e3a Re-license to Apache
Summary: Closes https://github.com/caffe2/caffe2/pull/1260

Differential Revision: D5906739

Pulled By: Yangqing

fbshipit-source-id: e482ba9ba60b5337d9165f28f7ec68d4518a0902
2017-09-28 16:22:00 -07:00

40 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
import unittest
from caffe2.proto import caffe2_pb2
from caffe2.python import core, dyndep, workspace
dyndep.InitOpsLibrary("@/caffe2/caffe2/contrib/prof:cuda_profile_ops")
class CudaProfileOpsTest(unittest.TestCase):
@unittest.skipIf(workspace.NumCudaDevices() < 1, "Need at least 1 GPU")
def test_run(self):
net = core.Net("net")
net.CudaProfileInitialize([], [], output="/tmp/cuda_profile_test")
net.CudaProfileStart([], [])
with core.DeviceScope(core.DeviceOption(caffe2_pb2.CUDA, 0)):
net.ConstantFill([], ["out"], shape=[1, 3, 244, 244])
net.CudaProfileStop([], [])
workspace.CreateNet(net)
workspace.RunNet(net)