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857c2e9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 | # 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 verl.single_controller.base.worker import Worker
class DPEngineWorker(Worker):
def __init__(self, *args, **kwargs):
# todo: extract _world_size etc. from kwargs and inject in super().__init__()
Worker.__init__(self, *args, **kwargs)
def init(self):
raise NotImplementedError
def add_engine(self, model, dp_config):
raise NotImplementedError
def execute_engine(self, method_name, *args, **kwargs):
print(f"execute_engine called with method={method_name}")
func = getattr(self._engine, method_name)
return func(*args, **kwargs)
def execute_module(self, method_name, *args, **kwargs):
print(f"execute_module called with method={method_name}")
func = getattr(self._engine.module, method_name)
return func(*args, **kwargs)
def get_model_size_on_rank_zero(self):
import torch
from verl.utils.model import get_model_size
if torch.distributed.get_rank() == 0:
# print("model print on rank 0: ", self._model)
module_size, module_size_scale = get_model_size(self._model)
return module_size, module_size_scale
return None
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