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verl/single_controller/base/megatron/worker.py
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verl/single_controller/base/megatron/worker.py
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# Copyright 2024 Bytedance Ltd. and/or its affiliates
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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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from dataclasses import dataclass
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from verl.single_controller.base.worker import Worker, DistRankInfo, DistGlobalInfo
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class MegatronWorker(Worker):
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def __init__(self, cuda_visible_devices=None) -> None:
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super().__init__(cuda_visible_devices)
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def get_megatron_global_info(self):
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from megatron.core import parallel_state as mpu
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tp_size = mpu.get_tensor_model_parallel_world_size()
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dp_size = mpu.get_data_parallel_world_size()
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pp_size = mpu.get_pipeline_model_parallel_world_size()
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info = DistGlobalInfo(tp_size=tp_size, dp_size=dp_size, pp_size=pp_size)
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return info
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def get_megatron_rank_info(self):
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from megatron.core import parallel_state as mpu
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tp_rank = mpu.get_tensor_model_parallel_rank()
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dp_rank = mpu.get_data_parallel_rank()
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pp_rank = mpu.get_pipeline_model_parallel_rank()
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info = DistRankInfo(tp_rank=tp_rank, dp_rank=dp_rank, pp_rank=pp_rank)
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return info
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