我无法在PyTorch中初始化BERT模型的组进程，我曾尝试使用以下代码初始化：

import torch
import datetime

torch.distributed.init_process_group(
    backend='nccl',
    init_method='env://',
    timeout=datetime.timedelta(0, 1800),
    world_size=0,
    rank=0,
    store=None,
    group_name=''
)

并尝试访问get_world_size()函数：

num_train_optimization_steps = num_train_optimization_steps // torch.distributed.get_world_size()

完整代码：

train_examples = None
    num_train_optimization_steps = None
    if do_train:
        train_examples = processor.get_train_examples(data_dir)
        num_train_optimization_steps = int(
            len(train_examples) / train_batch_size / gradient_accumulation_steps) * num_train_epochs
        if local_rank != -1:
            import datetime
            torch.distributed.init_process_group(backend='nccl',init_method='env://', timeout=datetime.timedelta(0, 1800), world_size=0, rank=0, store=None, group_name='')
            num_train_optimization_steps = num_train_optimization_steps // torch.distributed.get_world_size()
            print(num_train_optimization_steps)