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 PYTHONHOME=$ENV/dependency_cuda10_py3/anaconda3 export PATH=/opt/compiler/gcc-4.8.2/bin:$CUDAHOME/bin:$PYTHONHOME/bin:$PATH export LD_LIBRARY_PATH=$CUDAHOME/lib64:$CUDAHOME/lib64/stubs:$ENV/dependency_cuda10_py3/cudnn_v7.6/cuda/lib64:$PYTHONHOME/lib:$LD_LIBRARY_PATH export LD...
#exportLD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-10.1/lib64 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 $...
2.只需要在文件末尾添加: /usr/local/lib 3.使得刚才的配置路径生效: sudo ldconfig 第二步:配置bash 1.打开bash.bashrc sudo gedit /etc/bash.bashrc # sudo gedit ~/.bashrc 2.在最末尾添加 xport PKG_CONFIG_PATH=～/opencv-3.4.1/build/installed/lib/pkgconfig #export LD_LIBRARY_PATH=～/opencv-3....
检查你安装的 PaddlePaddle 版本支持的 CUDA 和 cuDNN 版本。这通常可以在 PaddlePaddle 的官方文档或安装指南中找到。配置环境变量: 由于你使用的是 Windows 系统,你需要确保 cudnn64_8.dll 所在的目录被添加到了系统的 PATH 环境变量中。 你可以通过以下步骤来设置环境变量: 右键点击“此电脑”或“计算机”,选...
- Linux: set LD_LIBRARY_PATH by `export LD_LIBRARY_PATH=...` - Windows: set PATH by `set PATH=XXX; [Hint: dso_handle should not be null.] (at ..\paddle\fluid\platform\dynload\tensorrt.cc:57) 版本&环境信息 Version & Environment Information ...
build/temp.linux-x86_64-3.7/torch/csrc/stub.o: file not recognized: file format not recognized collect2: error: ld returned 1 exit status error: command 'g++' failed with exit status 1 This is caused by ld from the Conda environment shadowing the system ld. You should use a newer ver...
export FLAGS_fraction_of_gpu_memory_to_use=0.9 export PYTHONHOME=/home/vis/hutao/anaconda3/ export PATH=/home/vis/hutao/anaconda3/bin:$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...
build/temp.linux-x86_64-3.7/torch/csrc/stub.o: file not recognized: file format not recognized collect2: error: ld returned 1 exit status error: command 'g++' failed with exit status 1 This is caused by ld from the Conda environment shadowing the system ld. You should use a newer ver...