Source code for paddlenlp.ops.distributed.utils.random
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import contextlib
import paddle
MODEL_PARALLEL_RNG = "model_parallel_rng"
[docs]class RNGStatesTracker:
"""
Tracker the RNG states.
"""
def __init__(self):
# Map from name to the rng state.
self.states_ = {}
self.seeds_ = set()
def add(self, name, seed):
if seed in self.seeds_:
raise ValueError("seed {} already exists".format(seed))
self.seeds_.add(seed)
if name in self.states_:
raise ValueError("state {} already exists".format(name))
orig_rng_state = paddle.get_cuda_rng_state()
paddle.seed(seed)
self.states_[name] = paddle.get_cuda_rng_state()
paddle.set_cuda_rng_state(orig_rng_state)
@contextlib.contextmanager
def rng_state(self, name=MODEL_PARALLEL_RNG):
if name not in self.states_:
raise ValueError("state {} does not exist".format(name))
orig_cuda_rng_state = paddle.get_cuda_rng_state()
paddle.set_cuda_rng_state(self.states_[name])
try:
yield
finally:
self.states_[name] = paddle.get_cuda_rng_state()
paddle.set_cuda_rng_state(orig_cuda_rng_state)
RNG_STATE_TRACKER = RNGStatesTracker()
def get_rng_state_tracker():
return RNG_STATE_TRACKER