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 LD_LIBRARY_PATH=/usr/local/cuda/lib64\ but /usr/local/cuda/lib64 doesn’t show up in the problematic export: bash: export: `:/usr/local/cuda-10.1/lib64:/usr/lib/nvidia-418:/home/veronica/.mujoco/mjpro150/bin’: not a valid identifier a symbolic link (/usr/local/cuda) woul...
2.只需要在文件末尾添加: /usr/local/lib 3.使得刚才的配置路径生效: sudo ldconfig 第二步:配置bash 1.打开bash.bashrc sudo gedit /etc/bash.bashrc # sudo gedit ~/.bashrc 2.在最末尾添加 xport PKG_CONFIG_PATH=～/opencv-3.4.1/build/installed/lib/pkgconfig #export LD_LIBRARY_PATH=～/opencv-3....
2023-03-27 10:21:10.553826: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.9/dist...
The system linker available in most Linux distributions (GNU ld) is quite slow. Use a faster linker, like lld. People on Mac, follow this guide instead. The easiest way to use lld this is download the latest LLVM binaries and run: ln -s /path/to/downloaded/ld.lld /usr/local/bin/ld...
检查你安装的 PaddlePaddle 版本支持的 CUDA 和 cuDNN 版本。这通常可以在 PaddlePaddle 的官方文档或安装指南中找到。配置环境变量: 由于你使用的是 Windows 系统,你需要确保 cudnn64_8.dll 所在的目录被添加到了系统的 PATH 环境变量中。 你可以通过以下步骤来设置环境变量: 右键点击“此电脑”或“计算机”,选...
export FLAGS_fraction_of_gpu_memory_to_use=0.9 export PYTHONHOME=/home/vis/hutao/anaconda3/ export PATH=/home/vis/hutao/anaconda3/bin:$PATH export LD_LIBRARY_PATH=/home/vis/hutao/anaconda3/lib/:$LD_LIBRARY_PATH export LD_LIBRARY_PATH=/home/vis/hutao/app/cuda9.0-cudnn7.6/lib64:$LD...
[INFO] [MemUsageChange] Init builder kernel library: CPU +442, GPU +116, now: CPU 837, GPU 1483 (MiB) [WARNING] CUDA lazy loading is not enabled. Enabling it can significantly reduce device memory usage. SeeCUDA_MODULE_LOADINGin htps://docs.nvidia.com/cuda/cuda-c-programming-guide/inde...
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configure:2867: checking whether the C compiler works configure:2889: gcc -DSQLITE_HAS_CODEC -lcrypto conftest.c >&5 /usr/bin/ld: cannot find -lcrypto collect2: error: ld returned 1 exit status configure:2893: $? = 1 configure:2931: result: no configure: failed program was: | /* ...