File size: 2,323 Bytes
c0bba28 | 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 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 | import torch.distributed as dist
from torch.distributed import ProcessGroup
import os
class DistributedEnv:
_vae_group = None
_local_rank = None
_world_size = None # 添加新的类变量
@classmethod
def initialize(cls, vae_group: ProcessGroup):
if vae_group is None:
cls._vae_group = dist.group.WORLD
else:
cls._vae_group = vae_group
cls._local_rank = int(os.environ.get('LOCAL_RANK', 0)) # FIXME: in ray all local_rank is 0
cls._rank_mapping = None
cls._init_rank_mapping()
@classmethod
def get_vae_group(cls) -> ProcessGroup:
if cls._vae_group is None:
raise RuntimeError("DistributedEnv not initialized. Call initialize() first.")
return cls._vae_group
@classmethod
def get_global_rank(cls) -> int:
return dist.get_rank()
@classmethod
def _init_rank_mapping(cls):
"""Initialize the mapping between group ranks and global ranks"""
if cls._rank_mapping is None:
# Get all ranks in the group
ranks = [None] * cls.get_group_world_size()
dist.all_gather_object(ranks, cls.get_global_rank(), group=cls.get_vae_group())
cls._rank_mapping = ranks
@classmethod
def get_global_rank_from_group_rank(cls, group_rank: int) -> int:
"""Convert a rank in VAE group to global rank using cached mapping.
Args:
group_rank: The rank in VAE group
Returns:
The corresponding global rank
Raises:
RuntimeError: If the group_rank is invalid
"""
if cls._rank_mapping is None:
cls._init_rank_mapping()
if group_rank < 0 or group_rank >= cls.get_group_world_size():
raise RuntimeError(f"Invalid group rank: {group_rank}. Must be in range [0, {cls.get_group_world_size()-1}]")
return cls._rank_mapping[group_rank]
@classmethod
def get_rank_in_vae_group(cls) -> int:
return dist.get_rank(cls.get_vae_group())
@classmethod
def get_group_world_size(cls) -> int:
return dist.get_world_size(cls.get_vae_group())
@classmethod
def get_local_rank(cls) -> int:
return cls._local_rank
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