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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# 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 print_function
import unittest
import contextlib
import paddle
from paddle.static import Program
class LayerTest(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.seed = 111
@classmethod
def tearDownClass(cls):
pass
def _get_place(self, force_to_use_cpu=False):
# this option for ops that only have cpu kernel
if force_to_use_cpu:
return 'cpu'
else:
return paddle.device.get_device()
@contextlib.contextmanager
def static_graph(self):
paddle.enable_static()
scope = paddle.static.Scope()
program = Program()
with paddle.static.scope_guard(scope):
with paddle.static.program_guard(program):
paddle.seed(self.seed)
paddle.framework.random._manual_program_seed(self.seed)
yield
def get_static_graph_result(self,
feed,
fetch_list,
with_lod=False,
force_to_use_cpu=False):
exe = paddle.static.Executor(self._get_place(force_to_use_cpu))
exe.run(paddle.static.default_startup_program())
return exe.run(paddle.static.default_main_program(),
feed=feed,
fetch_list=fetch_list,
return_numpy=(not with_lod))
@contextlib.contextmanager
def dynamic_graph(self, force_to_use_cpu=False):
paddle.disable_static()
place = self._get_place(force_to_use_cpu=force_to_use_cpu)
paddle.device.set_device(place)
paddle.seed(self.seed)
paddle.framework.random._manual_program_seed(self.seed)
yield
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