wehub-resource-sync
131 lines
4.4 KiB
Python
131 lines
4.4 KiB
Python
# 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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import os
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import unittest
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from test_dist_fleet_base import TestFleetBase
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class TestDistMnistAsyncInMemoryDataset2x2(TestFleetBase):
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def _setup_config(self):
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self._mode = "async"
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# self._reader = "pyreader"
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self._reader = "dataset"
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def check_with_place(
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self, model_file, delta=1e-3, check_error_log=False, need_envs={}
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):
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required_envs = {
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"PATH": os.getenv("PATH", ""),
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"PYTHONPATH": os.getenv("PYTHONPATH", ""),
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"LD_LIBRARY_PATH": os.getenv("LD_LIBRARY_PATH", ""),
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"FLAGS_rpc_deadline": "5000", # 5sec to fail fast
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"http_proxy": "",
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"CPU_NUM": "2",
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"LOG_DIRNAME": "/tmp",
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"SAVE_DIRNAME": "/tmp/TestDistMnistAsyncInMemoryDataset2x2/model",
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"SAVE_CACHE_DIRNAME": "/tmp/TestDistMnistAsyncInMemoryDataset2x2/cache_model",
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"SAVE_DENSE_PARAM_DIRNAME": "/tmp/TestDistMnistAsyncInMemoryDataset2x2/dense_param",
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"SAVE_ONE_TABLE_DIRNAME": "/tmp/TestDistMnistAsyncInMemoryDataset2x2/table_0",
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"SAVE_PATCH_DIRNAME": "/tmp/TestDistMnistAsyncInMemoryDataset2x2/patch_model",
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"LOG_PREFIX": self.__class__.__name__,
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}
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required_envs.update(need_envs)
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if check_error_log:
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required_envs["GLOG_v"] = "3"
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required_envs["GLOG_logtostderr"] = "1"
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tr0_losses, tr1_losses = self._run_cluster(model_file, required_envs)
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def test_dist_train(self):
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self.check_with_place(
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"dist_fleet_ctr.py", delta=1e-5, check_error_log=False
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)
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class TestDistMnistAsync2x2(TestFleetBase):
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def _setup_config(self):
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self._mode = "async"
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self._reader = "pyreader"
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def check_with_place(
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self, model_file, delta=1e-3, check_error_log=False, need_envs={}
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):
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required_envs = {
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"PATH": os.getenv("PATH", ""),
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"PYTHONPATH": os.getenv("PYTHONPATH", ""),
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"LD_LIBRARY_PATH": os.getenv("LD_LIBRARY_PATH", ""),
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"FLAGS_rpc_deadline": "5000", # 5sec to fail fast
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"http_proxy": "",
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"CPU_NUM": "2",
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"LOG_DIRNAME": "/tmp",
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"LOG_PREFIX": self.__class__.__name__,
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}
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required_envs.update(need_envs)
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if check_error_log:
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required_envs["GLOG_v"] = "3"
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required_envs["GLOG_logtostderr"] = "1"
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tr0_losses, tr1_losses = self._run_cluster(model_file, required_envs)
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def test_dist_train(self):
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self.check_with_place(
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"dist_fleet_ctr.py", delta=1e-5, check_error_log=False
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)
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class TestDistCtrHalfAsync2x2(TestFleetBase):
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def _setup_config(self):
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self._mode = "async"
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self._reader = "pyreader"
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def check_with_place(
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self, model_file, delta=1e-3, check_error_log=False, need_envs={}
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):
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required_envs = {
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"PATH": os.getenv("PATH", ""),
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"PYTHONPATH": os.getenv("PYTHONPATH", ""),
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"LD_LIBRARY_PATH": os.getenv("LD_LIBRARY_PATH", ""),
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"FLAGS_rpc_deadline": "30000", # 5sec to fail fast
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"http_proxy": "",
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"FLAGS_communicator_send_queue_size": "2",
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"FLAGS_communicator_max_merge_var_num": "2",
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"CPU_NUM": "2",
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"SAVE_MODEL": "0",
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"LOG_DIRNAME": "/tmp",
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"LOG_PREFIX": self.__class__.__name__,
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}
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required_envs.update(need_envs)
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if check_error_log:
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required_envs["GLOG_v"] = "3"
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required_envs["GLOG_logtostderr"] = "1"
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tr0_losses, tr1_losses = self._run_cluster(model_file, required_envs)
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def test_dist_train(self):
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self.check_with_place(
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"dist_fleet_ctr.py", delta=1e-5, check_error_log=False
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)
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if __name__ == "__main__":
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unittest.main()
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