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Its bad idea. For example on cluster at SpbSTU we have gcc-5.3 gcc-4.8 and icc-2016.1. Also there are some number of gpu nodes with K40. Cuda version is 7.5. Only way to compile cuda code is to use gcc-4.8 for it as backend for nvcc (and disable propagating host flags to nvcc) since gcc-5.3 and icc-2016.1 cannot be used for cuda =\ Copy <installpath>\cuda\lib\x64\cudnn.lib to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\lib\x64. After this check, if the Cuda path is set in the environment variables. Environment ...

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