Found GPU0 Tesla V100-SXM2-16GB which requires CUDA_VERSION >= 9000 for
optimal performance and fast startup time, but your PyTorch was compiled
with CUDA_VERSION 8000. Please install the correct PyTorch binary
using instructions from http://pytorch.org
But i did install pytorch for CUDA 9.0 and Python 3.5…
Cuda compilation tools, release 9.1, V9.1.85
How did you install PyTorch?
Did you compile from source or install the pre-built binaries?
You can find the install command on the website.
This should be the command you are looking for:
conda install pytorch torchvision cuda90 -c pytorch
I using this commands
I double checked for torch uninstalled from python2.7 and python3.5 and after that apply next commands:
pip3 install http://download.pytorch.org/whl/cu90/torch-0.4.0-cp35-cp35m-linux_x86_64.whl
pip3 install torchvision
but this not helps
Thanks for advice, i’ll try using anaconda now
After installation, could you check the current CUDA version used in PyTorch with
Before that i checked version
this is strange
now i’ll try to using anaconda…
Ok, now it’s looking good
But now i try to launch deepvoice3_pytorch/train.py
and got this error
`ModuleNotFoundError: No module named 'inflect'`
I did try install this module from anaconda but no luck
Solving environment: failed
PackagesNotFoundError: The following packages are not available from current channels:
If it’s not in the conda channels, you could try to install it via
Usually conda finds the packages (although you should install it via
conda if possible).
@ToxaDev How do you install cuda90 pytorch? could you share your solution, thanks.
Hi I’m using google colab with my project whichi needs torch<=1.2, but each time i installed the corrct version the colab will need to restartsession and the torch.version.cuda will again be 9.0. how can i fix it?