![]() Nvcc-gcc112-failure.cu:10:28: error: parameter packs not expanded with ‘.’: Nvcc -v -x cu -c nvcc-gcc112-failure.cu yields these commands () noexcept ( _Handler :: template _S_nothrow_init ) ![]() std::function construction vs assignment") This is a regression from the header shipped with g++ 11.1 usr/include/c++/11/bits/std_function.h:530:146: error: parameter packs not expanded with ‘.’: usr/include/c++/11/bits/std_function.h:435:145: error: parameter packs not expanded with ‘.’: $ echo '#include ' | nvcc -ccbin g++-11 -x cu -c. Nvcc fails to compile bits/std_function.h from g++ 11.2: So even if you were to stop conda from performing the dependency installation, there is a version mismatch so it wouldn't work.Date: Wed, 13:26:17 +0100 Package: nvidia-cuda-toolkit As you are now fully aware, versioning is critical to Tensorflow and a Tensorflow build requiring CUDA 10.2 won't work with CUDA 11.2. If you look at the conda output, you can see that it wants to install a CUDA 10.2 runtime.
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