# Is pytorch support RTX2080 and cuda10.0 and cudnn7.5? **URL:** \ **Category:** Uncategorized\ **Created:** [April 2, 2019, 8:54am UTC](https://discuss.pytorch.org/t/is-pytorch-support-rtx2080-and-cuda10-0-and-cudnn7-5/41474 "2019-04-02T08:54:40Z")\ **Posts on this page:** 12\ **Page:** 1
**Author:** ![Hong\_Cheng](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/hong_cheng/32/10639_2.png) [@Hong\_Cheng](https://discuss.pytorch.org/u/Hong_Cheng)\ **Post date:** [April 2, 2019, 8:54am UTC](https://discuss.pytorch.org/t/is-pytorch-support-rtx2080-and-cuda10-0-and-cudnn7-5/41474/1 "2019-04-02T08:54:40Z")
I want to install fastai V1 with pytorch V1 However, I have tried a lot of times, And I cannot get the correct version pytorch. Here is the technical specs of my PC GPU: RTx 2080 cuda: 10.0 cudnn: 7.5 here is one piece installation log. ~$ conda install pytorch=1.0.0 cudatoolkit=10.0 -c pytorch Collecting package metadata: done Solving environment: / The environment is inconsistent, please check the package plan carefully The following packages are causing the inconsistency: - defaults/linux-64::anaconda-navigator==1.6.2=py36\_0 - defaults/linux-64::pyqt==5.6.0=py36\_2 - defaults/linux-64::imageio==2.5.0=py36\_0 - defaults/linux-64::seaborn==0.7.1=py36\_0 - defaults/linux-64::pillow==5.1.0=py36h3deb7b8\_0 - defaults/linux-64::qt==5.6.2=h974d657\_12 - defaults/linux-64::qtconsole==4.3.0=py36\_0 - defaults/linux-64::jupyter==1.0.0=py36\_3 - defaults/linux-64::matplotlib==2.2.2=py36h0e671d2\_0 - defaults/linux-64::scikit-image==0.14.2=py36he6710b0\_0 - defaults/linux-64::spyder==3.1.4=py36\_0 - defaults/linux-64::navigator-updater==0.1.0=py36\_0 done ## Package Plan environment location: /home/cine2080/anaconda3 added / updated specs: - cudatoolkit=10.0 - pytorch=1.0.0 The following packages will be downloaded: ``` package | build ---------------------------|----------------- pytorch-1.0.0 |py3.6_cuda9.0.176_cudnn7.4.1_1 498.6 MB pytorch ------------------------------------------------------------ Total: 498.6 MB ``` The following NEW packages will be INSTALLED: pytorch pytorch/linux-64::pytorch-1.0.0-py3.6\_cuda9.0.176\_cudnn7.4.1\_1 ---
**Author:** ![ptrblck](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ptrblck/32/1823_2.png) [@ptrblck](https://discuss.pytorch.org/u/ptrblck)\ **Post date:** [April 2, 2019, 9:00am UTC](https://discuss.pytorch.org/t/is-pytorch-support-rtx2080-and-cuda10-0-and-cudnn7-5/41474/2 "2019-04-02T09:00:30Z")
We’ve had this issue [here](https://discuss.pytorch.org/t/problem-installing-pytorch-with-conda/40940/2?u=ptrblck). Could you try to run ```auto conda install pytorch=1.0.0 torchvision cuda100 -c pytorch ``` and see if the right CUDA version will be installed? ---
**Author:** ![Hong\_Cheng](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/hong_cheng/32/10639_2.png) [@Hong\_Cheng](https://discuss.pytorch.org/u/Hong_Cheng)\ **Post date:** [April 2, 2019, 9:06am UTC](https://discuss.pytorch.org/t/is-pytorch-support-rtx2080-and-cuda10-0-and-cudnn7-5/41474/3 "2019-04-02T09:06:16Z")
![Screenshot%20from%202019-04-02%2018-03-59](https://discuss.pytorch.org/uploads/default/original/2X/2/2e753858ac0daa74905fce6725d9001852d24266.png) Thanks for your reply! And here is the screen shot. I think the versions posted are correct. And still, the cudnn version is not correct ## Package Plan environment location: /home/cine2080/anaconda3 added / updated specs: - cuda100 - pytorch=1.0.0 - torchvision The following packages will be downloaded: ``` package | build ---------------------------|----------------- cuda100-1.0 | 0 2 KB pytorch jpeg-9b | h024ee3a_2 248 KB pytorch-1.0.0 |py3.6_cuda10.0.130_cudnn7.4.1_1 657.4 MB pytorch ------------------------------------------------------------ Total: 657.7 MB ``` The following NEW packages will be INSTALLED: cuda100 pytorch/linux-64::cuda100-1.0-0 jpeg pkgs/main/linux-64::jpeg-9b-h024ee3a\_2 libtiff pkgs/main/linux-64::libtiff-4.0.10-h2733197\_2 pytorch pytorch/linux-64::pytorch-1.0.0-py3.6\_cuda10.0.130\_cudnn7.4.1\_1 torchvision pytorch/noarch::torchvision-0.2.2-py\_3 I am trying to install it from source. ---
**Author:** ![ptrblck](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ptrblck/32/1823_2.png) [@ptrblck](https://discuss.pytorch.org/u/ptrblck)\ **Post date:** [April 2, 2019, 9:08am UTC](https://discuss.pytorch.org/t/is-pytorch-support-rtx2080-and-cuda10-0-and-cudnn7-5/41474/4 "2019-04-02T09:08:40Z")
Your system CUDA and cuDNN installations won’t be used if you install the binaries from conda. The conda bins ship their own packages. If you want to install from source, have a look [here](https://github.com/pytorch/pytorch#from-source). ---
**Author:** ![Hong\_Cheng](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/hong_cheng/32/10639_2.png) [@Hong\_Cheng](https://discuss.pytorch.org/u/Hong_Cheng)\ **Post date:** [April 2, 2019, 9:12am UTC](https://discuss.pytorch.org/t/is-pytorch-support-rtx2080-and-cuda10-0-and-cudnn7-5/41474/5 "2019-04-02T09:12:06Z")
Did you mean that conda installation will have its own new cudnn and cuda libraries? And how about the pip method? could you show me the pip install command like the following coding? ```auto conda install pytorch=1.0.0 torchvision cuda100 -c pytorch ``` ---
**Author:** ![ptrblck](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ptrblck/32/1823_2.png) [@ptrblck](https://discuss.pytorch.org/u/ptrblck)\ **Post date:** [April 2, 2019, 9:16am UTC](https://discuss.pytorch.org/t/is-pytorch-support-rtx2080-and-cuda10-0-and-cudnn7-5/41474/6 "2019-04-02T09:16:10Z")
The `pip` binaries will also ship their own CUDA and cuDNN libs. The command should be: ```auto pip install https://download.pytorch.org/whl/cu100/torch-1.0.0-cp37-cp37m-linux_x86_64.whl ``` ---
**Author:** ![jmaronas](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/jmaronas/32/2816_2.png) [@jmaronas](https://discuss.pytorch.org/u/jmaronas)\ **Post date:** [April 2, 2019, 9:23am UTC](https://discuss.pytorch.org/t/is-pytorch-support-rtx2080-and-cuda10-0-and-cudnn7-5/41474/7 "2019-04-02T09:23:16Z")
pip also downloads the binaries for cuda and cudnn. You only need to install cuda and cudnn in your system if you want to compile from source. Anyway I recommend to use conda. Previously I used Pip until I realized that on some versions numpy was not downloaded. Pytorch documentation recommends to use conda. ---
**Author:** ![Hong\_Cheng](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/hong_cheng/32/10639_2.png) [@Hong\_Cheng](https://discuss.pytorch.org/u/Hong_Cheng)\ **Post date:** [April 2, 2019, 9:24am UTC](https://discuss.pytorch.org/t/is-pytorch-support-rtx2080-and-cuda10-0-and-cudnn7-5/41474/8 "2019-04-02T09:24:01Z")
Thanks for your kind help. I use the old command ```auto conda install pytorch=1.0.0 torchvision cuda100 -c pytorch ``` and with `pip install fastai` install the pytorch and fastai successfully. Even though I am not fully understanding the reason why it is cudnn 7.4, but the test result is right. I test the environment with a mnist example. and here I just show the versions of them ```auto In [2]: import fastai In [3]: print(torch. __version__ ) 1.0.0 In [4]: print(fastai. __version__ ) 1.0.51 ``` And I know the format of my question is very bad but you’d still love to help me our. Thanks a lot! Have a good day! ---
**Author:** ![Hong\_Cheng](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/hong_cheng/32/10639_2.png) [@Hong\_Cheng](https://discuss.pytorch.org/u/Hong_Cheng)\ **Post date:** [April 2, 2019, 9:29am UTC](https://discuss.pytorch.org/t/is-pytorch-support-rtx2080-and-cuda10-0-and-cudnn7-5/41474/9 "2019-04-02T09:29:54Z")
Thanks my friend! I think conda is good. In the future, I will try to use more `conda` Actually, I have another question, which is that we can use conda and pip commands install the deep learning toolkit without cuda and cudnn ? Is it ture? or I misunderstand your descriptions? Have a good day~ ---
**Author:** ![jmaronas](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/jmaronas/32/2816_2.png) [@jmaronas](https://discuss.pytorch.org/u/jmaronas)\ **Post date:** [April 2, 2019, 9:35am UTC](https://discuss.pytorch.org/t/is-pytorch-support-rtx2080-and-cuda10-0-and-cudnn7-5/41474/10 "2019-04-02T09:35:29Z")
Well I am not pretty sure. In tensorflow you can just by installing tensorflow or tensorflow-gpu. In Pytorch I have no idea but I think it always download cuda and cudnn binaries. ---
**Author:** ![ptrblck](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ptrblck/32/1823_2.png) [@ptrblck](https://discuss.pytorch.org/u/ptrblck)\ **Post date:** [April 2, 2019, 9:47am UTC](https://discuss.pytorch.org/t/is-pytorch-support-rtx2080-and-cuda10-0-and-cudnn7-5/41474/11 "2019-04-02T09:47:30Z")
I think the `pytorch-cpu` binaries won’t ship the CUDA libs and are thus smaller. ---
**Author:** ![jmaronas](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/jmaronas/32/2816_2.png) [@jmaronas](https://discuss.pytorch.org/u/jmaronas)\ **Post date:** [April 2, 2019, 9:50am UTC](https://discuss.pytorch.org/t/is-pytorch-support-rtx2080-and-cuda10-0-and-cudnn7-5/41474/12 "2019-04-02T09:50:23Z")
Yes, that is true. From the docs: ```auto conda install pytorch-cpu torchvision-cpu -c pytorch ```