mirror of https://github.com/hpcaitech/ColossalAI
45 lines
1.3 KiB
Python
45 lines
1.3 KiB
Python
#!/usr/bin/env python
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# -*- encoding: utf-8 -*-
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from abc import ABC, abstractmethod
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from colossalai.context import Config
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class ProcessGroupInitializer(ABC):
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"""An object, knowing the parallelism configuration, that initializes parallel groups.
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:param rank: The rank of current process
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:param world_size: Size of whole communication world
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:param config: Running configuration
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:param data_parallel_size: Size of data parallel
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:param pipeline_parallel_size: Size of pipeline parallel
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:param tensor_parallel_size: Size of tensor parallel
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:type rank: int
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:type world_size: int
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:type config: Config
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:type data_parallel_size: int
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:type pipeline_parallel_size: int
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:type tensor_parallel_size: int
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"""
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def __init__(self,
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rank: int,
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world_size: int,
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config: Config,
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data_parallel_size: int,
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pipeline_parallel_size: int,
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tensor_parallel_size: int
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):
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self.rank = rank
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self.world_size = world_size
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self.data_parallel_size = data_parallel_size
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self.config = config
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self.pipeline_parallel_size = pipeline_parallel_size
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self.tensor_parallel_size = tensor_parallel_size
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super().__init__()
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@abstractmethod
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def init_dist_group(self):
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pass
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