安裝中文字典英文字典辭典工具!
安裝中文字典英文字典辭典工具!
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- Different CUDA versions shown by nvcc and NVIDIA-smi
nvcc --version reports the version of the CUDA toolkit you have installed This is the version that is used to compile CUDA code nvidia-smi, on the other hand, reports the maximum CUDA version that your GPU driver supports In your case, nvcc --version is reporting CUDA 10 1 because that's the version of the CUDA toolkit you have installed
- cuda - nvcc is not recognized by VS code terminal but works in the . . .
When I run "nvcc --version" in the CMD it gives the version but in the VS code, it says 'nvcc' is not recognized as an internal or external command My guess is this is something to do with environment variables but don't know how to fix this
- How to get the CUDA version? - Stack Overflow
nvcc --version (or usr local cuda bin nvcc --version) gives the CUDA compiler version (which matches the toolkit version) From application code, you can query the runtime API version with cudaRuntimeGetVersion() or the driver API version with cudaDriverGetVersion()
- Nvcc missing when installing cudatoolkit? - Stack Overflow
I have installed cuda along pytorch with conda install pytorch torchvision cudatoolkit=10 0 -c pytorch However, it seems like nvcc was not installed along with it If I want to use for example nvc
- cuda - nvcc: command not found - Stack Overflow
I installed cuda sdk 5 0 to opt and even compiled all examples, but I can't execute nvcc Here is some console output: I'm using linux mint 13
- python - nvcc is not installed despite successfully running conda . . .
But when I try to check CUDA version, I realise that nvcc is not installed: $ nvcc Command 'nvcc' not found, but can be installed with: sudo apt install nvidia-cuda-toolkit This also caused issue in the further setup of some git repositories which require nvcc
- How can I get the nvcc CUDA compiler to optimize more?
Another speed optimization flag available for nvcc compiler is the -use_fast_math which will use intrinsics at the expense of floating-point precision (see Options for Steering GPU code generation) Anyway, from my experience, such automatic compiler optimization options do not achieve in general great boosts
- cuda - Set default host compiler for nvcc - Stack Overflow
@RobertCrovella, alias will not work for script shells started from makefiles In Ubuntu nvcc ( usr bin nvcc) from ubuntu package is script, did not check debian and or nvidia's variant of package (and there is gcc-5 g++-5 in ubuntu which is supported by nvcc too) supernvcc nvcc may be more convenient when there are many makefiles –
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