sudo sh cuda_11.2.0_460.27.04_linux.run #安装,具体弹出的设置参考网上教程 #接下来是添加环境变量 vim .bashrc 在末端添加如下(我可能写的有点多,但不敢乱删,卑微~) export LD_LABRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-11.2/lib64 export PATH=$PATH:/usr/local/cuda-11.2/bin export CUDA_HO...
CUDA runtime version: 12.1.105 CUDA_MODULE_LOADING set to: LAZY GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3090 Nvidia driver version: 535.161.07 cuDNN version: Probably one of the following: /usr/lib/x86_64-linux-gnu/libcudnn.so.8.9.0 ...
CUDA_MODULE_LOADING set to: N/A GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3090 GPU 1: NVIDIA GeForce RTX 3090 Nvidia driver version: 525.116.03 cuDNN version: Could not collect HIP runtime version: N/A MIOpen runtime version: N/A ...
Add "export TORCH_CUDA_ARCH_LIST="8.0" " at the end. You need to change "8.0" depending on your GPU. Look for it athttps://developer.nvidia.com/cuda-gpus#compute. For example my GPU is titanxp so I change "8.0" to "6.1". ...
(64-bit runtime) Python platform: Linux-5.15.0-92-generic-x86_64-with-glibc2.31 Is CUDA available: True CUDA runtime version: Could not collect CUDA_MODULE_LOADING set to: LAZY GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3090 GPU 1: NVIDIA GeForce RTX 3090 Nvidia driver ...
(64-bit runtime) Python platform: Linux-6.8.0-49-generic-x86_64-with-glibc2.35 Is CUDA available: True CUDA runtime version: Could not collect CUDA_MODULE_LOADING set to: LAZY GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3090 Nvidia driver version: 550.120 cuDNN version: ...
DEVICE="cuda" class SimpleModel(nn.Module): def __init__(self, device=DEVICE): super().__init__() self.device = device self.weights = torch.nn.ParameterList( [torch.nn.Parameter(torch.randn(NUM_INPUT, INPUT_SIZE//NUM_LINEAR)) for _ in range(NUM_LINEAR)] ...
File "/home/klein/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, **kwargs) File "/home/klein/anaconda3/lib/python3.6/site-packages/deepspeed/runtime/engine.py", line 854, in forward loss = self.module(*inputs...
在CUDA历史官网中找到CUDA11.1.1点进去选择对应版本出来下载安装命令,照做: wget https://developer.download.nvidia.com/compute/cuda/11.1.1/local_installers/cuda_11.1.1_455.32.00_linux.run sudo sh cuda_11.1.1_455.32.00_linux.run 等待一段时间的下载安装过后安装界面,输入“accept”后出现以下界面,由于...
git submodule update --init --recursive --jobs 0 && \ TORCH_CUDA_ARCH_LIST="3.7+PTX;5.0;6.0;6.1;7.0;7.5;8.0;8.6" TORCH_NVCC_FLAGS="-Xfatbin -compress-all" \ CMAKE_PREFIX_PATH="$(dirname $(which $HOME/conda/bin/conda))/../" \ python setup.py install 这里“TORCH_CUDA_ARCH_LI...