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66 lines
2.1 KiB
66 lines
2.1 KiB
# Copyright (c) 2018 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 time
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import unittest
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import numpy as np
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from paddle.fluid.framework import Program
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import paddle.fluid.core as core
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import paddle.fluid as fluid
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class TestFetchHandler(unittest.TestCase):
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@unittest.skip(reason="Skip unstable ci")
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def test_fetch_handler(self):
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place = core.CPUPlace()
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scope = core.Scope()
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table = np.random.random((3, 10)).astype("float32")
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prog = Program()
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block = prog.current_block()
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var_emb = block.create_var(name='emb', type=core.VarDesc.VarType.FP32)
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var_emb3 = block.create_var(name='emb3', type=core.VarDesc.VarType.FP32)
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class FH(fluid.executor.FetchHandler):
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def handler(self, fetch_dict):
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assert len(fetch_dict) == 1
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table_var = scope.var('emb').get_tensor()
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table_var.set(table, place)
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fh = FH(var_dict={'emb': var_emb}, period_secs=2)
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fm = fluid.trainer_factory.FetchHandlerMonitor(scope, fh)
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fm.start()
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time.sleep(3)
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fm.stop()
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default_fh = fluid.executor.FetchHandler(
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var_dict={'emb': var_emb,
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'emb2': None,
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'emb3': var_emb3},
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period_secs=1)
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default_fm = fluid.trainer_factory.FetchHandlerMonitor(scope,
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default_fh)
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default_fm.start()
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time.sleep(5)
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default_fm.stop()
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if __name__ == "__main__":
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unittest.main()
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