针对你提出的问题“freeglut (/cuda-samples/sample): failed to open display ':0'”,我将从几个方面进行分析并提供可能的解决方案: 确认环境变量设置: 确保DISPLAY 环境变量已正确设置。在Linux系统中,通常这个变量应该设置为 :0 或者其他有效的显示设备号。你可以通过以下命令来检查和设置这个变量: bash echo...
报错信息: RuntimeError: CUDA out of memory. Tried to allocate 100.00 MiB (GPU 0; 2.00 GiB total capacity; 1.15 GiB already allocated; 0 bytes free; 1.19 G
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这个错误表示CUDA显存不足,尝试分配了1.88 GiB的内存但无法满足。已经有9.41 GiB的内存被占用,剩余786.00 MiB可用。 解决方法: 减少模型输入数据的大小或者减少batch size。 尝试调整PyTorch中GPU内存分配策略,可以在代码开头加入以下语句进行设置: importtorch torch.backends.cuda.max_split_size_mb=1024# 设置每个块...
Tried to allocate 128.00 MiB (GPU 0; 4.00 GiB total capacity; 2.25 GiB already allocated; 63.28 MiB free; 2.66 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH...
RuntimeError: CUDA out of memory. Tried to allocate 256.00 MiB (GPU 0; 4.00 GiB total capacity; 3.20 GiB already allocated; 0 bytes free; 3.23 GiB reserved in total by PyTorch) https://github.com/pytorch/pytorch/issues/16417 stackoverflow 討論串:...
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查看性能,发现NVIDIA的只有GPU1,所以改成如下: os.environ["CUDA_VISIBLE_DEVICES"] = "0" 若是不能在GPU上跑,直接改到CPU上跑,修改如下: os.environ["CUDA_VISIBLE_DEVICES"] = "-1" 不过,这种问题,还是GPU内存不足引起的。应该购买或租用高性能显卡,减少时间的浪费。
2024-05-11 02:24:26,980 - es_kb_service.py[line:147] - ERROR: Error 发生 : CUDA out of memory. Tried to allocate 128.00 GiB. GPU 0 has a total capacty of 23.65 GiB of which 7.95 GiB is free. Process 1957120 has 7.10 GiB memory in use. Including non-PyTorch memory, this proce...
RuntimeError: CUDA out of memory. Tried to allocate 12.50 MiB (GPU 0; 10.92 GiB total capacity; 8.57 MiB already allocated; 9.28 GiB free; 4.68 MiB cached). According to the message, I have the required space but it does not allocate the memory. ...