local_rank:进程内 GPU 编号,非显式参数,由 torch.distributed.launch 内部指定。比方说, rank=3,local_rank=0 表示第 3 个进程内的第 1 块 GPU。 注意初始化rank和world_size 你需要确保, 不同机器的rank值不同, 但是主机的rank必须为0, 而且使用init_method的ip一定是rank为0的主机, 其次world_size是...
try:importthop# for FLOPs computationexceptImportError:thop=NoneLOGGER=logging.getLogger(__name__)@contextmanagerdeftorch_distributed_zero_first(local_rank:int):"""Decorator to make all processes in distributed training wait for each local_master to do something."""iflocal_ranknotin[-1,0]:dist....
local_rank=0,)layer=LSTransformerEncoderLayer(config)除了encoder以外，embedding、decoder、cross entropy...
format(ADDR, PORT), rank=RANK, world_size=SIZE, ) local_rank = dist.get_rank() % torch.cuda.device_count() torch.cuda.set_device(local_rank) device = torch.device('cuda:%d' % local_rank) test_allreduce(dist, device) print('training done!') train() if __name__ == "__main_...
``` # Python script for text summarization using NLP techniques # Your code here to read the text data and preprocess it (e.g., removing stop words) # Your code here to generate the summary using techniques like TF-IDF, TextRank, or BERT``` 说明: 文本摘要自动执行为冗长的文本文档创建...
single_cls=False, adam=False, sync_bn=False, workers=8, project=runs\train, name=exp, exist_ok=False, quad=False, linear_lr=False, label_smoothing=0.0, patience=100, freeze=0, save_period=-1, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest...
其中,首先从数据库中读取数据,将其中的文本内容进行合并,并作为输入传入LocalTextRank类中。在该类中,通过分词、构建节点以及构建矩阵等操作,最终使用TextRank算法计算出每个词的权重值,并将其存储在字典中。最后,将每个词及其相应的权重值输出到控制台,并将结果存储在Excel文件中。核心代码如图5.3所示:...
def rank_info(self): choice = input('1.成绩排序 2.学号排序:') order = input('1.升序 2.降序:') if choice == '1': item = 'grade' elif choice == '2': item = 'id' else: return None self.sort(item=item) if order == '2': temp = self.reverse() temp.display_info() retu...
Whenever you call parent(), the inner functions first_child() and second_child() are also called. But because of their local scope, they aren’t available outside of the parent() function.Functions as Return ValuesPython also allows you to return functions from functions. In the following ...
: rank = int(country.find('rank').text if rank > 50 root.remove(country) treewrite('output.xml) 3、添加节点 #在内添加)节点year2 import xml.etree.ElementTreeas ET tree = ET.parse("a.xml") root= tree.getroot() for countryin root.findall('country': for year in ...