main_tid = get_thread_identity() result = [None] error = [False]@gen.coroutine def f(): try: if main_tid == get_thread_identity(): raise RuntimeError("sync() called from thread of running loop") yield gen.moment thread_state.asynchronous = True ...
Source File: distributed_utils.py From fairseq with MIT License 5 votes def call_main(args, main, **kwargs): if args.distributed_init_method is None: infer_init_method(args) if args.distributed_init_method is not None: # distributed main if torch.cuda.device_count() > 1 and not ...
得到Variable::AutogradMeta的grad_accumulator_,即用于累加叶子 Variable 的梯度累加器。 把reducer的autograd_hook函数添加进去每个grad_accumulator_之中,变量index是hook的参数。这个 hook 挂在 autograd graph 之上,在 backward 时负责梯度同步。grad_accumulator 执行完后,autograd_hook 就会运行。 gradAccToVariableMap...
slice:MainAbilitySlicedefines the default home screen of the TV,RemotInputAbilitySlicedefines the input app screen on the mobile phone, andMoviePlayAbilitySlice screendefines the program playback screen. utils: encapsulates common methods for utility classes, covering ability management, logs, search, ...
_args() # Init distributed environment distributed_utils.init_distributed_mode(args) # Set seed to ensure the same initialization torch.manual_seed(14159265) np.random.seed(14159265) random.seed(14159265) # -- call main scripts if args.eval_student: app_main_eval(args) else: app_main_train...
在下面代码中我们添加了torch.utils.data.distributed.DistributedSampler对数据按照rank进行切片,每个gpu的运行结果区分开来了 评测分数有下降,是因为目前为止每个gpu还是完全独立没进行梯度合并,所以每个gpu只用到了完整数据集的一部分 ... def train(...): ... datasampler = torch.utils.data.distributed.Distributed...
utils Update code for new linter checks 2个月前 .codecov.yaml Change patch diff to be informational only. (#3140) 4年前 .gitattributes fix: convert line endings to LF on checkout 2年前 .gitignore Workflow execution and scheduling latency (#7370) ...
[com.huawei.hwclouds.dcs.extention.util.CTSUtils.sendToCTS 240] send to cts end.result:true,result message:,cts:projectId:af02a81dca104092aa9332bb168afba8,serviceType:DCS,apiVersion:v1.0,code:200,messa ge:{"instance_id":"70b64759-cec1-4c0c-b558-5e909df13152","instances":[{"instan...
from accelerate.utils import set_seed set_seed(42) # 等价于设置下面5种seed random.seed(seed) np.random.seed(seed) torch.manual_seed(seed) torch.cuda.manual_seed_all(seed) # or torch.xpu.manual_seed_all, etc # ^^ safe to call this function even if cuda is not available if is_torc...
if self.is_main_process: file_utils.create_dir(cfg.work_dir) file_utils.create_dir(cfg.model_root) file_utils.create_dir(cfg.log_root) file_utils.copy_file_to_dir(cfg.config_file, cfg.work_dir) setup_config.save_config(cfg, os.path.join(cfg.work_dir, "setup_config.yaml")) ...