wehub-resource-sync
60 lines
1.9 KiB
Python
60 lines
1.9 KiB
Python
# Copyright (c) 2021 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 contextlib
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import paddle
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MODEL_PARALLEL_RNG = "model_parallel_rng"
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class RNGStatesTracker:
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"""
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Tracker the RNG states.
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"""
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def __init__(self):
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# Map from name to the rng state.
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self.states_ = {}
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self.seeds_ = set()
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def add(self, name, seed):
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if seed in self.seeds_:
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raise ValueError("seed {} already exists".format(seed))
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self.seeds_.add(seed)
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if name in self.states_:
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raise ValueError("state {} already exists".format(name))
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orig_rng_state = paddle.get_cuda_rng_state()
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paddle.seed(seed)
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self.states_[name] = paddle.get_cuda_rng_state()
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paddle.set_cuda_rng_state(orig_rng_state)
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@contextlib.contextmanager
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def rng_state(self, name=MODEL_PARALLEL_RNG):
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if name not in self.states_:
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raise ValueError("state {} does not exist".format(name))
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orig_cuda_rng_state = paddle.get_cuda_rng_state()
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paddle.set_cuda_rng_state(self.states_[name])
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try:
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yield
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finally:
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self.states_[name] = paddle.get_cuda_rng_state()
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paddle.set_cuda_rng_state(orig_cuda_rng_state)
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RNG_STATE_TRACKER = RNGStatesTracker()
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def get_rng_state_tracker():
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return RNG_STATE_TRACKER
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