Yes I suspect so those lib files seem to be the same.
I just blew out both CUDA8.0 and cuDNN 6.0 and reinstalled, then theano seems to take it with the usual watchout messages but it blows out compile errors when Vgg runs where as when I slide in cuDNN 5.1 all is good again. I even tried the dev version of theano its running that now no change. I tried all the tricks but it keeps throwing compile errors.
The end of the C file it tried to compile has this to sayâŚ
Exception: (âThe following error happened while compiling the nodeâ, GpuDnnConv{algo=âsmallâ, inplace=True}(GpuContiguous.0, GpuContiguous.0, GpuAllocEmpty.0, GpuDnnConvDesc{border_mode=âvalidâ, subsample=(1, 1), conv_mode=âconvâ, precision=âfloat32â}.0, Constant{1.0}, Constant{0.0}), â\nâ, ânvcc return statusâ, 2, âfor cmdâ, ânvcc -shared -O3 -Xlinker -rpath,/usr/local/cuda-8.0/lib64/ -use_fast_math -arch=sm_61 -m64 -Xcompiler -fno-math-errno,-Wno-unused-label,-Wno-unused-variable,-Wno-write-strings,-DCUDA_NDARRAY_CUH=c72d035fdf91890f3b36710688069b2e,-DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION,-fPIC,-fvisibility=hidden -Xlinker -rpath,/home/sl/.theano/compiledir_Linux-4.4âgeneric-x86_64-with-debian-stretch-sid-x86_64-2.7.12-64/cuda_ndarray -I/home/sl/.theano/compiledir_Linux-4.4âgeneric-x86_64-with-debian-stretch-sid-x86_64-2.7.12-64/cuda_ndarray -I/usr/local/cuda8.0/include -I/home/sl/Theano/theano/sandbox/cuda -I/usr/local/cuda-8.0/include/ -I/home/sl/anaconda2/lib/python2.7/site-packages/numpy/core/include -I/home/sl/anaconda2/include/python2.7 -I/home/sl/Theano/theano/gof -L/home/sl/.theano/compiledir_Linux-4.4âgeneric-x86_64-with-debian-stretch-sid-x86_64-2.7.12-64/cuda_ndarray -L/usr/local/cuda-8.0/lib64/ -L/home/sl/anaconda2/lib -o /home/sl/.theano/compiledir_Linux-4.4âgeneric-x86_64-with-debian-stretch-sid-x86_64-2.7.12-64/tmpWUD0e_/ea4e203b6529466794536f8a1bfa77ae.so mod.cu -lcudart -lcublas -lcuda_ndarray -lcudnn -lpython2.7â, â[GpuDnnConv{algo=âsmallâ, inplace=True}(<CudaNdarrayType(float32, 4D)>, <CudaNdarrayType(float32, 4D)>, <CudaNdarrayType(float32, 4D)>, <CDataType{cudnnConvolutionDescriptor_t}>, Constant{1.0}, Constant{0.0})]â)