我已经安装了CUDA8.0,并按照的要求将cuDNN文件复制到目录中。Using TensorFlow backend.I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcublas.so locallyI tensorflow/stream_executor/dso_loader.cc:105] Couldn't open CUDA<
此命令在运行之前为python脚本设置一个环境变量("CUDA_VISIBLE_DEVICES")。$ CUDA_VISIBLE_DEVICES=2,3 python my_script.py # Uses GPUs 2 and 3.它在Linux机器上运行得很好,但是在Windows上,它说
'CUDA_VISIBLE_DEVICES' is not recognized as an internal or external command
运行一些代码后,我得到了一个ImportError: dnn not available,据我所见,虽然它安装在/usr/local/cuda-6.5/targets/x86_64-linux/include/cudnn.h上,但由于缺少CUDA头而产生的结果。在之后,我设置了环境变量CUDA_ROOT=/usr/local/cuda-6.5,这将产生一个额外的错误:
ERROR (the