forked from PulseFocusPlatform/PulseFocusPlatform
75 lines
2.5 KiB
Python
75 lines
2.5 KiB
Python
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import print_function
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import unittest
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import contextlib
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import paddle
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import paddle.fluid as fluid
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from paddle.fluid.framework import Program
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from paddle.fluid import core
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class LayerTest(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.seed = 111
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@classmethod
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def tearDownClass(cls):
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pass
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def _get_place(self, force_to_use_cpu=False):
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# this option for ops that only have cpu kernel
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if force_to_use_cpu:
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return core.CPUPlace()
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else:
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if core.is_compiled_with_cuda():
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return core.CUDAPlace(0)
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return core.CPUPlace()
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@contextlib.contextmanager
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def static_graph(self):
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paddle.enable_static()
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scope = fluid.core.Scope()
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program = Program()
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with fluid.scope_guard(scope):
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with fluid.program_guard(program):
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paddle.seed(self.seed)
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paddle.framework.random._manual_program_seed(self.seed)
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yield
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def get_static_graph_result(self,
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feed,
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fetch_list,
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with_lod=False,
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force_to_use_cpu=False):
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exe = fluid.Executor(self._get_place(force_to_use_cpu))
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exe.run(fluid.default_startup_program())
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return exe.run(fluid.default_main_program(),
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feed=feed,
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fetch_list=fetch_list,
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return_numpy=(not with_lod))
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@contextlib.contextmanager
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def dynamic_graph(self, force_to_use_cpu=False):
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paddle.disable_static()
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with fluid.dygraph.guard(
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self._get_place(force_to_use_cpu=force_to_use_cpu)):
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paddle.seed(self.seed)
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paddle.framework.random._manual_program_seed(self.seed)
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yield
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