forked from PulseFocusPlatform/PulseFocusPlatform
42 lines
1.5 KiB
Python
42 lines
1.5 KiB
Python
# Copyright (c) 2019 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 absolute_import
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import os
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import paddle.fluid as fluid
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def nccl2_prepare(trainer_id, startup_prog, main_prog):
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config = fluid.DistributeTranspilerConfig()
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config.mode = "nccl2"
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t = fluid.DistributeTranspiler(config=config)
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t.transpile(
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trainer_id,
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trainers=os.environ.get('PADDLE_TRAINER_ENDPOINTS'),
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current_endpoint=os.environ.get('PADDLE_CURRENT_ENDPOINT'),
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startup_program=startup_prog,
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program=main_prog)
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def prepare_for_multi_process(exe, build_strategy, startup_prog, main_prog):
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trainer_id = int(os.environ.get('PADDLE_TRAINER_ID', 0))
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num_trainers = int(os.environ.get('PADDLE_TRAINERS_NUM', 1))
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if num_trainers < 2:
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return
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build_strategy.num_trainers = num_trainers
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build_strategy.trainer_id = trainer_id
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nccl2_prepare(trainer_id, startup_prog, main_prog)
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