torch.cuda.set_device(device_id) 1. 其中,device_id表示要设置的CUDA设备的ID。如果想将可见性设置为所有的CUDA设备,可以使用-1作为device_id。 步骤四:验证设置是否生效 在设置CUDA可见性之后,可以进行一次验证,来确保设置已经生效。可以使用以下代码进行验证: AI检测代码解析 visible_device_ids=torch.cuda.devi...
What happened + What you expected to happen Setting a GPU to a fractional value appears to cause RAY_EXPERIMENTAL_NOSET_CUDA_VISIBLE_DEVICES to be ignored when using TorchTrainer, as demonstrated below: I’m using Ray 2.24, and this works...
I want to finetune llama2-13b in my 48G A6000 GPU(GPUid:1) of single GPU mode. Though I have already set CUDA_VISIBLE_DEVICES=1, the finetune process is still run on my 24G A5000 GPU(GPUid:0), which is have limited memory to run the process. ...
当你遇到这样的运行时错误:“runtimeerror: cuda unknown error - this may be due to an incorrectly set up environment, e.g. changing env variable cuda_visible_devices after program start. setting the available devices to be zero”,这通常意味着CUDA环境配置存在问题。下面我将根据你提供的提示,分点...
changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero. 解决方式 1.重启系统2.sudo apt-get install nvidia-modprobe文章标签: 并行计算 Python 关键词: Python笔记 Python error Set env error Set env Python env ...
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1 llama2 repository:here dataset mmlu dataset structure RESULT command CUDA_VISIBLE_DEVICES=0 python src/evaluate.py \ --model_name_or_path ../llama/models_hf/7B \ --adapter_name_or_path ./FINE/llama2-7b-chat-alpaca_gpt4_single/checkpoint-20000 \ ...
cuda.manual_seed_all(seed) torch.backends.cudnn.deterministic = True 有些同学会提到了,如果只这样 set_seed,会解决不了每个 epoch 都使用相同顺序读取dataset 里的数据。于是又加了这行 set_epoch 代码: train_dataloader.sampler.set_epoch(epoch) 有些同学又提到,如果只这样,会导致使用多进程 DataLoader ...
{ "source": "ABSOLUTE_PATH_TO_PROJECT_NETWORK_SPECS_DIRECTORY", "destination": "/workspace/tao-experiments/faster_rcnn/specs" } ], "Envs": [ { "variable": "CUDA_VISIBLE_DEVICES", "value": "0" } ], "DockerOptions": { "shm_size": "16G", "ulimits": { "memlock": -1, "...
Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems. - bamos/setGPU