下面的表格展示了实现多块GPU设备的步骤: 接下来,我们将逐步解释每个步骤需要做什么,并提供相应的代码和注释。 步骤一:检查可用的GPU设备 在开始使用多块GPU设备之前,我们需要先检查系统中可用的GPU设备。为此,我们可以使用torch.cuda.device_count()函数获取可用的GPU设备数量。如果返回值大于0,则表示至少有一块GPU...
defcpu_print():print("print by cpu.")@cuda.jit defgpu_print():#GPU核函数print("print by gpu.")defmain():gpu_print[1,2]()cuda.synchronize()cpu_print()if__name__=="__main__":main() 使用CUDA_VISIBLE_DEVICES='0' python gpu_print.py执行这段代码,得到的结果为: 代码语言:javascript...
此命令在运行之前为python脚本设置一个环境变量("CUDA_VISIBLE_DEVICES")。$CUDA_VISIBLE_DEVICES=2,3 python my_script.py # Uses GPUs 2 and 3.它在Linux机器上运行得很好,但是在Windows上,它说 'CUDA_VISIBLE_DEVICES' is not recognized as an internal or external command ...
一个名为gpu_print.py的GPU程序如下所示: fromnumbaimportcudadefcpu_print():print("print by cpu.")@cuda.jitdefgpu_print():# GPU核函数print("print by gpu.")defmain():gpu_print[1,2]()cuda.synchronize()cpu_print()if__name__=="__main__":main() 使用CUDA_VISIBLE_DEVICES='0' python...
值得一提的是,大名鼎鼎的OpenAI编译器triton,就是直接通过libcuda.so调用驱动,直接把Python代码翻译成驱动可执行的cubin程序。详情可参见https://github.com/openai/triton/blob/main/third_party/nvidia/backend/driver.py。 driver/runtime API初始化以及CUDA_VISIBLE_DEVICES发挥作用的时机 ...
[3] 34860 segmentation fault (core dumped) CUDA_VISIBLE_DEVICES=0 python train.py --domain_name cartpole --task_name 在执行RAD的源代码时,发现一个问题,因在服务器上不能对环境进行render,则在main函数初始添加: from pyvirtualdisplay import Display...
KeyError: 'CUDA_VISIBLE_DEVICES'#137082 New issue Closed as not planned CorentinWicht 🐛 Describe the bug Dear Community, I am trying to fine one of Mistral AI model using the following code:https://github.com/mistralai/mistral-finetune. ...
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. ...
os.environ['CUDA_VISIBLE_DEVICES']='-1' 经过测试 GPU比纯cpu在运行restnet18 快很多倍。 conda安装库时报错: conda install keras Collecting package metadata (current_repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. ...
/home/reply/.local/lib/python3.10/site-packages/torch/cuda/__init__.py:138: UserWarning: CUDA initialization: CUDA unknown error - this may be due to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES aft...