在通过相应的脚本提示提供CUDA和cudnn版本之后,我在系统中找到了cudnn.h和cuda.h路径,并在附加脚本提示符中添加了它们的路径。[Leave empty to use the default]: /usr/local/cuda-11.0/targets/x86_64-linux/include/cuda.h,/usr/include/linux</e
WARNING (theano.sandbox.cuda): The cuda backend is deprecated and will be removed in the next releaseConverting-to-the-new-gpu-back-end%28gpuarray%29
ERROR (theano.sandbox.cuda
find CUDA (missing: CUDA_TOOLKIT_ROOT_DIR CUDA_NVCC_EXECUTABLE CUDA_INCLUDE_DIRS CUDA_CUDART_LIBRARYnot found or specified
-- Could NOT find CUDA (missing: CUDA_TOOLKIT_ROOT_DIR CUDA_NVCC_EXECUTABLECUDA_INCLUDE_DIRS <e
我使用.deb文件安装了tensorflow和CUDA。我还安装了CUDNN。但是,当我尝试用python导入库时,它给出了这个错误。: No such file or directoryexport LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64"export
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<