| # Copyright 2025 Bytedance Ltd. and/or its affiliates | |
| # | |
| # 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. | |
| from verl.utils.device import get_torch_device | |
| def set_random_seed(seed): | |
| import random | |
| import numpy as np | |
| import torch | |
| torch.manual_seed(seed) | |
| np.random.seed(seed) | |
| random.seed(seed) | |
| if get_torch_device().device_count() > 0: | |
| from megatron.core import tensor_parallel | |
| tensor_parallel.model_parallel_cuda_manual_seed(seed) | |
| # FIXME: torch cumsum not support deterministic (used in vllm sampler), | |
| # https://github.com/pytorch/pytorch/issues/89492 | |
| # torch.use_deterministic_algorithms(True, warn_only=True) | |
| # os.environ['CUBLAS_WORKSPACE_CONFIG'] = ':4096:8' | |