zisuina_2的博客

在跑torch多GPU报错“Reducer buckets have been rebuilt in this iteration.”原因是torch版本问题， torch1.7以上的distributed.py发生更改导致报错：这玩意是distributed.py里的前向函数报错def forward(self, inputs, *kwargs): if self.ddp_join_enabled: ones = torch.ones(

command ‘gcc’ failed with exit status 1`报错报错!头疼!econn/models/operators/nms/src/nms_cuda.cpp:4:23: error: ‘AT_CHECK’ was not declared in this scope #define CHECK_CUDA(x) AT_CHECK(x.type().is_cuda(), #x, " must be a CUDAtensor ") ^

之前能正常运行，重启后，机器开始矫情，运行程序报错说cuda出问题；那就nvidia-smi，发现链接失败nvidia-smi报错：（NVIDIA-SMI失败因为它没法链接NVIDIA设备。请确保最新版本的NVIDIA已经安装和运行）- 翻译过来也是屁话解决方案1.检查NVIDIA是否存在nvcc -V输出说明NVIDIA还在，（不在的亲(づ￣3￣)づ╭❤～，请重新安装）2...