当你遇到 RuntimeError: Address already in use 错误时,这通常意味着你的程序尝试绑定到一个网络端口上,但该端口已经被另一个进程占用。以下是一些步骤和建议,帮助你解决这个问题: 1. 确认错误来源 首先,确认这个错误是在运行哪个具体的程序或脚本时出现的。这有助于你定位问题并找到相应的配置文件或代码部分。
torch进行GPU卡训练时,报错RuntimeError: Address already in use 参考:https://www.it610.com/article/1279180977062559744.htm 问题在于,TCP的端口被占用,一种解决方法是,运行程序的同时指定端口,端口号随意给出: --master_port 29501 例如: nohup python3 -m torch.distributed.launch --nproc_per_node 4 --...
其实是端口号冲突了。 因此解决方法要么kill原来的进程,要么修改端口号。 在代码里重新配置 torch.distributed.init_process_group()dist_init_method = 'tcp://{master_ip}:{master_port}'.format(master_ip='127.0.0.1', master_port='10000')dist_world_size = opt.world_size #total number of distribute...
import threading def thread_1(): with open('file.txt', 'r') as f: data = f.read() def thread_2(): with open('file.txt', 'r') as f: data = f.read() 如果这两个线程同时运行,就会发生问题: t1 = threading.Thread(target=thread_1) t2 = threading.Thread(target=thread_2) t1.s...
world_size = next(rendezvous_iterator) File "/user/anaconda3/envs/docBert/lib/python3.7/site-packages/torch/distributed/rendezvous.py", line 172, in _env_rendezvous_handler store = TCPStore(master_addr, master_port, world_size, start_daemon, timeout) RuntimeError: Address already in use...
RUNTIME.. 这个是WIN运行自动播放文件时的函数. 你是插光盘和U盘的时候才出.. 别的时候不弹吧? 如果不弹那就是系统漏洞,建议重新安装一个新系统,打齐补丁应该就解决了. 硬盘错误会有提示,而且你可以通过程序--附件--系统工具--磁盘扫描程序 来检查硬盘是否有错.有的话就整理下. 你提供的不...
(master_addr, master_port, world_size, start_daemon, timeout) stderr: RuntimeError: Address already in use stderr: Traceback (most recent call last): stderr: File "/home/water/anaconda3/envs/Acc/lib/python3.8/runpy.py", line 194, in _run_module_as_main stderr: return _run_code...
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解决Windows jmeter Non HTTP response message: Address already in use: connect 错误(转载) 2019-12-06 18:11 −jMeter报错: Response code: Non HTTP response code: java.net.BindExceptionResponse message: Non HTTP response message: Address already in use: connect 原因:... ...
ERRO[0700] failed to watch scheduler jobs, retrying: rpc error: code = Unavailable desc = connection error: desc = "transport: Error while dialing: dial tcp: address localhost: missing port in address" app_id=core instance=dapr scope=dapr.runtime.scheduler type=log ver=1.14.0 Steps to ...