| import os |
| import torch |
| import subprocess |
|
|
|
|
| def setup_for_distributed(is_master): |
| """ |
| This function disables printing when not in master process |
| """ |
| import builtins as __builtin__ |
| builtin_print = __builtin__.print |
|
|
| def print(*args, **kwargs): |
| force = kwargs.pop('force', False) |
| if is_master or force: |
| builtin_print(*args, **kwargs) |
|
|
| __builtin__.print = print |
|
|
| def init_distributed_mode(args): |
| if 'RANK' in os.environ and 'WORLD_SIZE' in os.environ: |
| args.rank = int(os.environ["RANK"]) |
| args.world_size = int(os.environ['WORLD_SIZE']) |
| args.gpu = int(os.environ['LOCAL_RANK']) |
| args.dist_url = 'env://' |
| os.environ['LOCAL_SIZE'] = str(torch.cuda.device_count()) |
| elif 'SLURM_PROCID' in os.environ: |
| proc_id = int(os.environ['SLURM_PROCID']) |
| ntasks = int(os.environ['SLURM_NTASKS']) |
| node_list = os.environ['SLURM_NODELIST'] |
| num_gpus = torch.cuda.device_count() |
| addr = subprocess.getoutput( |
| 'scontrol show hostname {} | head -n1'.format(node_list)) |
| os.environ['MASTER_PORT'] = os.environ.get('MASTER_PORT', '29500') |
| os.environ['MASTER_ADDR'] = addr |
| os.environ['WORLD_SIZE'] = str(ntasks) |
| os.environ['RANK'] = str(proc_id) |
| os.environ['LOCAL_RANK'] = str(proc_id % num_gpus) |
| os.environ['LOCAL_SIZE'] = str(num_gpus) |
| args.dist_url = 'env://' |
| args.world_size = ntasks |
| args.rank = proc_id |
| args.gpu = proc_id % num_gpus |
| else: |
| print('Not using distributed mode') |
| args.distributed = False |
| return |
|
|
| args.distributed = True |
|
|
| torch.cuda.set_device(args.gpu) |
| args.dist_backend = 'nccl' |
| print('| distributed init (rank {}): {}'.format( |
| args.rank, args.dist_url), flush=True) |
| torch.distributed.init_process_group(backend=args.dist_backend, init_method=args.dist_url, |
| world_size=args.world_size, rank=args.rank) |
| torch.distributed.barrier() |
| setup_for_distributed(args.rank == 0) |
|
|
