Nvcc missing when installing cudatoolkit?

user_3869448 0
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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 nvcc -V, I get the error that nvcc was not found, and that I should install it with sudo apt install nvidia-cuda-toolkit. Can I do this (I dont want to just try and then find out that it is not working/messes up the whole cuda setup). And is this a bug or expected behavior?

I am using Ubuntu 18.04 and have cuda 10.2

nvcc pytorch anaconda cuda
6 Answers

Met this question when installing cudatoolkit of 10.1 with PyTorch 1.4.

There is a conda-forge package https://anaconda.org/conda-forge/cudatoolkit-dev. After installing this, nvcc as well as other CUDA libraries will be then available at /home/li/anaconda3/envs/<env_name>/pkgs/cuda-toolkit in bin/ and lib/.

user_29434450

You can try 

conda install -c conda-forge nvcc_linux-64

Currently this should get you 10.2. Nvidia has its own channel nvidia but the latest version there is 10.1.

user_39555860

cudatoolkit that is installed with pytorch is runtime only and does not come with the development compiler nvcc. To get nvcc you need to install cudatoolkit-dev which I believe is available from the conda-forge channel.

user_118044230

nvidia conda channel is now available: nvidia/cuda and nvcc is in it.

user_139470380

cudatoolkit-dev package from conda-forge did not work for me. I used the package from HCC with the latest pytorch (v1.9.0) https://anaconda.org/HCC/cudatoolkit.

The command to install cudatoolkit alongside pytorch and torchvision:

conda install pytorch torchvision cudatoolkit=10.2 -c pytorch -c hcc

After the installation, you can check

$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Wed_Oct_23_19:24:38_PDT_2019
Cuda compilation tools, release 10.2, V10.2.89
user_167581500

Check if nvcc is in the folder /usr/local/cuda-10.2/bin Run ./nvcc --version if it exists in that folder

Output looks like this

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Wed_Oct_23_19:24:38_PDT_2019
Cuda compilation tools, release 10.2, V10.2.89

If this is the case, add the folder to your global path variable echo "export PATH=/usr/local/cuda-10.2/bin${PATH:+:${PATH}}" >> ~/.profile

and refresh the profile using source ~/.profile

and reboot your machine.

user_47869850
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