Initial commit

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PeterGriffinJin
2025-02-28 15:16:19 +00:00
commit 068516be64
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# Copyright 2024 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.

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

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# Copyright 2024 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 typing import Dict
from .worker import DistRankInfo, DistGlobalInfo
from verl.single_controller.base import ResourcePool, WorkerGroup
class MegatronWorkerGroup(WorkerGroup):
def __init__(self, resource_pool: ResourcePool, **kwargs):
super().__init__(resource_pool=resource_pool, **kwargs)
self._megatron_rank_info = None
self._megatron_global_info: DistGlobalInfo = None
def init_megatron(self, default_megatron_kwargs: Dict = None):
raise NotImplementedError(f"MegatronWorkerGroup.init_megatron should be overwritten")
def get_megatron_rank_info(self, rank: int) -> DistRankInfo:
assert 0 <= rank < self.world_size, f'rank must be from [0, world_size), Got {rank}'
return self._megatron_rank_info[rank]
@property
def tp_size(self):
assert self._megatron_global_info is not None, "MegatronWorkerGroup._megatron_global_info must be initialized"
return self._megatron_global_info.tp_size
@property
def dp_size(self):
assert self._megatron_global_info is not None, "MegatronWorkerGroup._megatron_global_info must be initialized"
return self._megatron_global_info.dp_size
@property
def pp_size(self):
assert self._megatron_global_info is not None, "MegatronWorkerGroup._megatron_global_info must be initialized"
return self._megatron_global_info.pp_size
def get_megatron_global_info(self):
return self._megatron_global_info