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import os
import torch.distributed as dist
def is_distributed():
return get_world_size() > 1
def get_world_size():
if not dist.is_available():
return 1
return dist.get_world_size() if dist.is_initialized() else 1
def get_rank():
if not dist.is_available():
return 0
return dist.get_rank() if dist.is_initialized() else 0
def get_local_rank():
if not dist.is_available():
return 0
return int(os.getenv('LOCAL_RANK', 0)) if dist.is_initialized() else 0
def is_master():
return get_rank() == 0
def is_local_master():
return get_local_rank() == 0