爱数学的企鹅 A green hand in Math & AI 安装CUDA 后 手动配置环境变量 | $ export PATH=/usr/local/cuda-11.3/bin:$PATH$ export LD_LIBRARY_PATH=/usr/local/cuda-11.3/lib64:$LD_LIBRARY_PATH$ source ~/.bashrc---接下来就可以查看安装的 CUDA 了$ nvcc -V---#琐碎的编程知识 发布于 2025-...
export PATH=/usr/local/cuda-10.2/bin:$PATH export LD_LIBRARY_PATH=/usr/local/cuda-10.2/lib64:$LD_LIBRARY_PATH export C_INCLUDE_PATH=/usr/local/cuda-10.2/include:$C_INCLUDE_PATH export CPLUS_INCLUDE_PATH=/usr/local/cuda-10.2/include:$CPLUS_INCLUDE_PATH source .bashrc 11. 安装Anaconda 1...
export PATH=/usr/local/cuda-10.1/bin:/usr/local/cuda-10.1/NsightCompute-2019.1${PATH:+:${PATH}} #exportLD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-10.1/lib64 export LD_LIBRARY_PATH=/usr/local/cuda-10.1/lib64 ${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}} #exportLIBRARY_PATH=$LIBRARY...
TensorFlow saved_model: export failure: can’t convert cuda:0 device type tensor to numpy. 对于此类问题,作者在issue中的统一回答是:新版本已解决了该问题,请使用新版本。 然而,直接使用新版本毕竟不方便,因为在工程中很可能已经做了很多别的修改,使用新版本会直接覆盖这些修改。因此,解决思路是用新版本的修...
state_dict=torch.load(args.ckpt_path) modnet.load_state_dict(state_dict) modnet.eval()#prepare dummy_inputbatch_size = 1height= 256width= 256###单个输入###dummy_inputImg = Variable(torch.randn(batch_size, 3, height, width)).cuda()### export to onnx model#torch.onnx.export(#modnet...
export CMAKE_PREFIX_PATH="${CONDA_PREFIX:-'$(dirname $(which conda))/../'}:${CMAKE_PREFIX_PATH}" python setup.py develop On macOS python3 setup.py develop On Windows If you want to build legacy python code, please refer to Building on legacy code and CUDA CPU-only builds In this...
export CMAKE_PREFIX_PATH="${CONDA_PREFIX:-'$(dirname $(which conda))/../'}:${CMAKE_PREFIX_PATH}" python setup.py develop On macOS python3 setup.py develop On Windows If you want to build legacy python code, please refer to Building on legacy code and CUDA CPU-only builds In this...
...如果未指定,将使用默认版本。...当KV缓存数据类型为FP8时,通常应当提供此文件。否则,KV缓存比例因子默认为1.0,可能导致准确性问题。FP8_E5M2(未缩放)仅在CUDA版本大于11.8时支持。...例如,0.5的值将意味着50%的GPU内存利用率。如果未指定,将使用0.9的默认值。...如果未指定,将使用默认版本。
export PATH=$PATH:/usr/lib/java/bin ---path 结果发现直接运行./ path 没起到效果, 后来发现原来机制是这样: 类似于局部变量,从当前shell中运行脚本path,是先创建一个子进程shell 然后运行脚本程序,然后子进程退出,返回父进程shell,因此子shell中对环境变量的改变并不影响父进程看到的环境变量. ...
#cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=~/opencv-3.4.1/build/installed -DWITH_CUDA=OFF .. (建立opencv-3.4.1/build/installed这几个文件夹) cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local/opencv3.4.2 .. ...