配置ubuntu17.1+CUDA9.2的caffe环境,CUDA sample编译完成,执行到./deviceQuery时报错:CUDA driver version is insufficient for CUDA runtime version 查看CUDA toolkit releaseNote,发现CUDA版本对显卡驱动版本有要求: https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html 大家可以通过网站ht
jpeg库下载地址: http://www.ijg.org/ 交叉编译三部曲: A ./configure --host=arm-linux-gcc --prefix=/home/flying/jpeg-install B make C make install jpeg库是解压jpeg/jpg图片或将图片压缩为jpeg/jpg格式所用到的库,使用起来比较简单! jpeg/jpg解码过程: 1. 创建jpeg对象和错误处理对象 struct jpeg_decompress_struct cinf
This is caused by the unmatching of gpu device number when loading a saved model. torch.load('my_file.pt', map_location=lambda storage, loc: storage) ref: http://blog.csdn.net/shincling/article/details/78919282