AssertionError: Torch not compiled with CUDA enabled

Question

AssertionError: Torch not compiled with CUDA enabled

Testin1234 opened this issue 5 years ago · comments

I'm trying to do neural style swapping, and for some reason, I keep getting the following errors.
AssertionError: Torch not compiled with CUDA enabled
File "c:\apps\Miniconda3\lib\site-packages\torch\nn\modules\module.py", line 260, in cuda
return self._apply(lambda t: t.cuda(device))
File "c:\apps\Miniconda3\lib\site-packages\torch\nn\modules\module.py", line 187, in _apply
module._apply(fn)
File "c:\apps\Miniconda3\lib\site-packages\torch\nn\modules\module.py", line 187, in _apply
module._apply(fn)
File "c:\apps\Miniconda3\lib\site-packages\torch\nn\modules\module.py", line 193, in _apply
param.data = fn(param.data)
File "c:\apps\Miniconda3\lib\site-packages\torch\nn\modules\module.py", line 260, in
return self.apply(lambda t: t.cuda(device))
File "c:\apps\Miniconda3\lib\site-packages\torch\cuda_init.py", line 161, in _lazy_init
check_driver()
File "c:\apps\Miniconda3\lib\site-packages\torch\cuda_init.py", line 75, in _check_driver
raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled

I recently reinstalled conda and this has just been completely broken for me.

cc @ezyang

Richard Zou · Answer 1 · Wed Dec 04 2019 05:40:24 GMT+0800 (China Standard Time)

How did you install pytorch? It sounds like you installed pytorch without CUDA support. https://pytorch.org/ has instructions for how to install pytorch with cuda support.

Gailsunset · Answer 2 · Mon Dec 30 2019 20:53:38 GMT+0800 (China Standard Time)

Shalom!

I am new to pytorch, and already installed pytorch in my Mac laptop.

trying to run the wsi_bert.py code, and get this error.
"""
raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled
"""
Please help.
Thx a lot!

Sangwon Jeong · Answer 3 · Thu Jan 02 2020 06:31:16 GMT+0800 (China Standard Time)

Try this.
conda install -c pytorch torchvision cudatoolkit=10.1 pytorch
Depending on what cuda version you have.

Edward Z. Yang · Answer 4 · Thu Jan 02 2020 18:44:21 GMT+0800 (China Standard Time)

Note that unless you know otherwise, your Mac probably doesn't have an NVIDIA GPU on it.

For further support questions related to installation, please follow up on the forums https://discuss.pytorch.org/

AchinthyaBhat · Answer 5 · Sun Mar 29 2020 20:51:42 GMT+0800 (China Standard Time)

I don't know where to raise an issue, but this continues to be a problem on Windows when Pytorch is installed without CUDA support even though it has been recently fixed for MacOS. Can someone help me?

Dzhoshkun Ismail Shakir · Answer 6 · Fri Apr 03 2020 19:44:24 GMT+0800 (China Standard Time)

Experiencing this problem on Windows as well.

Jack Pryne · Answer 7 · Sat Apr 04 2020 03:43:00 GMT+0800 (China Standard Time)

I tried re-installing pytorch as per @swj0418 above,
conda install -c pytorch torchvision cudatoolkit=10.1 pytorch
yet to no avail. Running this from with a Jupyter notebook under Anaconda on Windows 10 with an Nvidia1060 6GB & Intel i7.

YuanYingtao · Answer 8 · Thu Jun 04 2020 20:12:57 GMT+0800 (China Standard Time)

Experiencing this problem on Windows as well.

I have the same question too. I think i need to modify the code, but i don't what to do.

Jan-Walter Benjamins · Answer 9 · Fri Jun 12 2020 14:03:40 GMT+0800 (China Standard Time)

Same here, installing as described on pytorch site (conda install pytorch torchvision cudatoolkit=10.1 -c pytorch) yields (during installation):

  cudatoolkit        pkgs/main/win-64::cudatoolkit-10.1.243-h74a9793_0
  pytorch            pytorch/win-64::pytorch-1.5.0-py3.7_cpu_0
  torchvision        pytorch/win-64::torchvision-0.6.0-py37_cpu

Where there's clearly cpu already in the package names, which can be confirmed after installation:

pytorch                   1.5.0               py3.7_cpu_0  [cpuonly]  pytorch

p.s. CUDA 10.1 was completely installed before creating the env and installing pytorch

Kim Clarke · Answer 10 · Wed Jun 17 2020 00:32:44 GMT+0800 (China Standard Time)

I had the same problem (Win10, CUDA installed prior to making conda env)

The option to install using pip worked for me (inside a miniconda env, python 3.7.7)

From the pytorch website:

pip install torch===1.5.0 torchvision===0.6.0 -f https://download.pytorch.org/whl/torch_stable.html

yick · Answer 11 · Wed Jun 24 2020 13:37:03 GMT+0800 (China Standard Time)

I don't know where to raise an issue, but this continues to be a problem on Windows when Pytorch is installed without CUDA support even though it has been recently fixed for MacOS. Can someone help me?

Change code device = torch.device("cpu") to device = torch.device("cuda")

Sathvik Nair · Answer 12 · Fri Jul 24 2020 04:43:09 GMT+0800 (China Standard Time)

Shalom!

I am new to pytorch, and already installed pytorch in my Mac laptop.

trying to run the wsi_bert.py code, and get this error.
"""
raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled
"""
Please help.
Thx a lot!

@Gailsunset I was running the same code from wsi_bert.py, and although conda install -c pytorch torchvision cudatoolkit=10.1 pytorch from the reply right after didn't end up working out, just conda install cudatoolkit led me to get past that issue.

Tejasvi S. Tomar · Answer 13 · Fri Jul 31 2020 16:57:28 GMT+0800 (China Standard Time)

In my case, I had cpuonly package installed which needs to be removed.

bnymnsntrk · Answer 14 · Wed Aug 05 2020 01:39:02 GMT+0800 (China Standard Time)

In my case, I had cpuonly package installed which needs to be removed.

how did you delete it?

Adam Gaweda · Answer 15 · Fri Sep 18 2020 05:11:14 GMT+0800 (China Standard Time)

I had the same problem (Win10, CUDA installed prior to making conda env)

The option to install using pip worked for me (inside a miniconda env, python 3.7.7)

From the pytorch website:

pip install torch===1.5.0 torchvision===0.6.0 -f https://download.pytorch.org/whl/torch_stable.html

Just confirming this approach worked for me; Windows 10, using Anaconda's CMD Terminal; CUDA v10

zm-m · Answer 16 · Fri Nov 06 2020 06:20:19 GMT+0800 (China Standard Time)

I don't know where to raise an issue, but this continues to be a problem on Windows when Pytorch is installed without CUDA support even though it has been recently fixed for MacOS. Can someone help me?

I'm having the same problem on an Ubuntu VM. No CUDA installed (because no GPU), and I am 100% sure it is the cpu-only version. I know because I have uninstalled and reinstalled many times (each time making sure all previous files are removed), trying pytorch 1.4, 1.5, and 1.6, all with corresponding torchvision versions. I've also tried editing the code to specify the whole torch.device="cpu" thing but the issue persists. I currently have torch=1.5 with cpu only and torchvision 0.6 installed and would be really grateful to anyone with suggestions.

Oscar Guajardo · Answer 17 · Tue Dec 15 2020 12:11:03 GMT+0800 (China Standard Time)

Try this.
conda install -c pytorch torchvision cudatoolkit=10.1 pytorch
Depending on what cuda version you have.

i have a rtx 2060 and it worked fine with this toolkit.

Malithi-gif · Answer 18 · Wed Dec 30 2020 13:32:28 GMT+0800 (China Standard Time)

@Testin1234 are you resolve this one?

Mwni · Answer 19 · Sun Jan 10 2021 15:30:12 GMT+0800 (China Standard Time)

If you've ever ran pip install torch without the -f https://download.pytorch.org/whl/torch_stable.html argument, chances are, you have the corrupt cpu only version in your pip cache. whatever reinstall you do, doesn't matter because pip will just pull the same bad version from cache. to solve:

pip uninstall torch
pip cache purge
pip install torch -f https://download.pytorch.org/whl/torch_stable.html

wws · Answer 20 · Wed Jan 27 2021 16:19:19 GMT+0800 (China Standard Time)

I had the same problem (Win10, CUDA installed prior to making conda env)

The option to install using pip worked for me (inside a miniconda env, python 3.7.7)

From the pytorch website:

pip install torch===1.5.0 torchvision===0.6.0 -f https://download.pytorch.org/whl/torch_stable.html

Thank you so much!!!!!!!!

Lingxuan Chen · Answer 21 · Tue Mar 16 2021 19:10:59 GMT+0800 (China Standard Time)

I encountered the same problem, I think you should uninstall the cpu version of torch, and change it to the gpu version to solve it

Navneet Sajwan · Answer 22 · Fri Mar 19 2021 03:58:34 GMT+0800 (China Standard Time)

But why does anybody have to install the Cuda version of PyTorch, if they don't have a GPU on their system? Shouldn't there be any other solution?

peterhchen · Answer 23 · Mon Apr 26 2021 09:33:12 GMT+0800 (China Standard Time)

I tried the above commands, none of them work on my windiws-10.
Below step 1-5 are to solve in my case.

Make sure the cuda is available (True)

If False, we will have error. then we need to install the cuda first.

AssertionError: Torch not compiled with CUDA enabled

How TO: Install PyTorch (with GPU) in Window 10 (2021) by chinamatt.

https://www.youtube.com/watch?v=eodnCUzSeTk

print('torch.cuda.is_available():', torch.cuda.is_available())

Step 1:

before you get "torch.cuda.is_available(): True", we will have the error as below:

AssertionError: Torch not compiled with CUDA enabled

Step 2: Check your system have graphic card or not:

> dxdiag

tab "Dsiplay 1": Intel (R) UD=HD Graphcis Family

tab "Dispay 2": GeForce GTX 1060

GeForce (General Electronic Facsimil Optimized for Repair and Ceaseless Exploraiton)

GTX (Giga Texel Shader eXtrene)

https://developer.nvidia.com/cuda-downloads

1. Select Window > Window 10 > exe (network) to download

2. install cuda

Step 3:

Install Pytorch:

https://pytorch.org/get-started/locally/

select CUDA 11.1. The sintallation page is displayed:

run the following command

> conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c conda-forge

Type "y" to proceed. This will take long time. Take a break.

Step 4:

run the following command:

print('torch.cuda.is_available():', torch.cuda.is_available())

Run before you get "torch.cuda.is_available(): True"

Step 5:

import torch

t = t.cuda()

now is working.

Emrul Hasan · Answer 24 · Sun Aug 01 2021 09:45:33 GMT+0800 (China Standard Time)

when i run the following command: conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c conda-forge
i get the error: bash: conda: command not found
How I can I solve. Any suggestion are highly appreciated. Thanks

peterhchen · Answer 25 · Sun Aug 01 2021 11:39:41 GMT+0800 (China Standard Time)

Sec01 have the all pytorchand tensorflow 2.4 installation I used windows 10 and anaconda At work I used Linux. They both work in similar way. https://github.com/peterhchen/900_SVU_DeepLearning/find/main

On Sat, Jul 31, 2021 at 6:45 PM Emrul Hasan ***@***.***> wrote: when i run the following command: conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c conda-forge i get the error: bash: conda: command not found How I can I solve. Any suggestion are highly appreciated. Thanks — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#30664 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ADBSBD326WRLL2ORWTGPRYLT2SRMTANCNFSM4JUZTN3A> .

-- Sincerely Yours, Peter H. Chen

Emrul Hasan · Answer 26 · Sun Aug 01 2021 21:34:54 GMT+0800 (China Standard Time)

Hi In my case cofig: CUDA 11.2, windows 10, tensorflow 2.5, python 3.8.

peterhchen · Answer 27 · Sun Aug 01 2021 21:43:49 GMT+0800 (China Standard Time)

Just google search the error message You should able to find the answer

On Sun, Aug 1, 2021 at 6:35 AM Emrul Hasan ***@***.***> wrote: Hi In my case cofig: CUDA 11.2, windows 10, tensorflow 2.5, python 3.8. — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#30664 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ADBSBD6FAOFPCDSTXBHCKATT2VEQTANCNFSM4JUZTN3A> .

-- Sincerely Yours, Peter H. Chen

Emrul Hasan · Answer 28 · Sun Aug 01 2021 21:56:55 GMT+0800 (China Standard Time)

ok. I tried though! WIll try again, let's see if i can fix it. Thank you very much!

peterhchen · Answer 29 · Mon Aug 02 2021 01:34:33 GMT+0800 (China Standard Time)

If you cannot went through Normally, I did is clean up the installation and reinstall again. It will work.

On Sun, Aug 1, 2021 at 6:57 AM Emrul Hasan ***@***.***> wrote: ok. I tried though! WIll try again, let's see if i can fix it. Thank you very much! — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#30664 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ADBSBD5P3S6SWJL7BN5BRNTT2VHDHANCNFSM4JUZTN3A> .

-- Sincerely Yours, Peter H. Chen

Laxmi Kant · Answer 30 · Wed Aug 11 2021 04:42:09 GMT+0800 (China Standard Time)

If you've ever ran pip install torch without the -f https://download.pytorch.org/whl/torch_stable.html argument, chances are, you have the corrupt cpu only version in your pip cache. whatever reinstall you do, doesn't matter because pip will just pull the same bad version from cache. to solve:
pip uninstall torch
pip cache purge
pip install torch -f https://download.pytorch.org/whl/torch_stable.html

This one worked for me.

VivienFu · Answer 31 · Mon Aug 30 2021 12:09:37 GMT+0800 (China Standard Time)

if you are using torch on macOS or other PC without GPU, only cpu mode is available. You should find the code where torch device is set, like
torch.device(***)
Make sure it is set to :
torch.device("cpu")

adamanov · Answer 32 · Tue Sep 07 2021 02:00:29 GMT+0800 (China Standard Time)

Check out your CUDA version drivers
nvcc --version

It has to be matched with PyTorch supported CUDA drivers version.
go to Pytorch get started

conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c nvidia

In case if your current cuda version drivers does not match. Eg. I had 11.3 and 11.0 installed. But the PyTorch currently supports only Cuda 11.1 . I had to re install CUDA 11.10 drivers
After that specify a PATH for using a correct version of CUDA drive-by editing ~/.bashrc and including

export PATH=/usr/local/cuda-11.1/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-11.1/lib64\${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

As soon as, you have done check again a current cuda version
nvcc --version

if they matched, create a new conda environment
conda create --name myenv
and install again
conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c nvidia

check if Pytorch can see Cuda drivers

import torch

print(torch.__version__)           # 1.9.0
print(torch.version.cuda)           # 11.1
print(torch.cuda.is_available())     #True

Olivier Grisel · Answer 33 · Mon Sep 13 2021 17:51:16 GMT+0800 (China Standard Time)

When using the conda install command line from pytorch.org, I ended up with both pytorch-cpu 1.6.0 and pytorch 1.9.0 installed in the same conda env.

To fix it, I had to conda env remove it, then create a new env with the same commandline without torchvision and torchaudio.

Then I installed those using conda install torchvision torchaudio -c pytorch -c nvidia and it triggered an upgrade of cudatoolkit from 11.1.74 to 11.2.72 (but it seems to work).

qysnn · Answer 34 · Tue Nov 02 2021 05:38:27 GMT+0800 (China Standard Time)

If you are using conda, you can check available PyTorch versions with conda search pytorch -c pytorch
On my end it shows

# Name                       Version           Build  Channel
pytorch                       1.10.0     py3.6_cpu_0  pytorch
pytorch                       1.10.0 py3.6_cuda10.2_cudnn7.6.5_0  pytorch
pytorch                       1.10.0 py3.6_cuda11.1_cudnn8.0.5_0  pytorch
pytorch                       1.10.0 py3.6_cuda11.3_cudnn8.2.0_0  pytorch
pytorch                       1.10.0     py3.7_cpu_0  pytorch
pytorch                       1.10.0 py3.7_cuda10.2_cudnn7.6.5_0  pytorch
pytorch                       1.10.0 py3.7_cuda11.1_cudnn8.0.5_0  pytorch
pytorch                       1.10.0 py3.7_cuda11.3_cudnn8.2.0_0  pytorch
pytorch                       1.10.0     py3.8_cpu_0  pytorch
pytorch                       1.10.0 py3.8_cuda10.2_cudnn7.6.5_0  pytorch
pytorch                       1.10.0 py3.8_cuda11.1_cudnn8.0.5_0  pytorch
pytorch                       1.10.0 py3.8_cuda11.3_cudnn8.2.0_0  pytorch
pytorch                       1.10.0     py3.9_cpu_0  pytorch
pytorch                       1.10.0 py3.9_cuda10.2_cudnn7.6.5_0  pytorch
pytorch                       1.10.0 py3.9_cuda11.1_cudnn8.0.5_0  pytorch
pytorch                       1.10.0 py3.9_cuda11.3_cudnn8.2.0_0  pytorch

It seems the latest PyTorch is only compiled on Cuda 10.2/11.1/11.3 for conda. So if you try to install a cudatoolkit version that is different from these three, conda will install CPU-only verison.

Mikkel · Answer 35 · Wed Nov 03 2021 18:06:05 GMT+0800 (China Standard Time)

Finally solved this!

My problem:
Due to corporate restrictions I could not install from pytorch channel using -c pytorch whereas I was using an index to install the version from. This version did not include the cuda version, but a CPU version. My restrictions are also the reason why my solution is very cumbersome.

My solution (I created an env for this):

manually download the correct wheel from https://download.pytorch.org/whl/torch_stable.html, with the torch/cuda/python version corresponding to the dependencies from my previous step -> perhaps use conda list to check this
conda install python=x.x (corresponding to the version of the wheel file you installed)
conda install pip (Conda install gave me troubles with the wheel)
pip install PATH/TO/WHEEL

finally:
>>> torch.cuda.is_available() True

kalman13 · Answer 36 · Wed Nov 24 2021 01:37:25 GMT+0800 (China Standard Time)

I had the same problem but still I cannot find a solution to my problem

I installed everything in my anaconda environment with:

conda install -c conda-forge -c pytorch python=3.7 pytorch torchvision cudatoolkit=10.1 opencv numpy pillow

Now I noticed that I installed the following packages (among others)

  python             conda-forge/linux-64::python-3.7.12-hb7a2778_100_cpython
  python_abi         conda-forge/linux-64::python_abi-3.7-2_cp37m
  pytorch            conda-forge/linux-64::pytorch-1.10.0-cpu_py37hf3cc979_0
  pytorch-cpu        conda-forge/linux-64::pytorch-cpu-1.10.0-cpu_py37h718b53a_0
  qt                 conda-forge/linux-64::qt-5.12.9-hda022c4_4

Which means that the versions of pytorch installed are CPU only. Correct?

How can I install now a version of pytorch which is CUDA enabled?

Output details

Command:

conda install -c conda-forge -c pytorch python=3.7 pytorch torchvision cudatoolkit=10.1 opencv numpy pillow

Result:

Collecting package metadata (current_repodata.json): done
Solving environment: done


==> WARNING: A newer version of conda exists. <==
  current version: 4.10.1
  latest version: 4.10.3

Please update conda by running

    $ conda update -n base -c defaults conda



## Package Plan ##

  environment location: /home/fabrizioschiano/anaconda3/envs/deeplabv3finetuning

  added / updated specs:
    - cudatoolkit=10.1
    - numpy
    - opencv
    - pillow
    - python=3.7
    - pytorch
    - torchvision


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    hdf5-1.12.1                |nompi_h2750804_102         3.5 MB  conda-forge
    libpq-13.5                 |       hd57d9b9_0         2.8 MB  conda-forge
    ------------------------------------------------------------
                                           Total:         6.3 MB

The following NEW packages will be INSTALLED:

  _libgcc_mutex      conda-forge/linux-64::_libgcc_mutex-0.1-conda_forge
  _openmp_mutex      conda-forge/linux-64::_openmp_mutex-4.5-1_llvm
  alsa-lib           conda-forge/linux-64::alsa-lib-1.2.3-h516909a_0
  bzip2              conda-forge/linux-64::bzip2-1.0.8-h7f98852_4
  c-ares             conda-forge/linux-64::c-ares-1.18.1-h7f98852_0
  ca-certificates    conda-forge/linux-64::ca-certificates-2021.10.8-ha878542_0
  cairo              conda-forge/linux-64::cairo-1.16.0-h6cf1ce9_1008
  cffi               conda-forge/linux-64::cffi-1.15.0-py37h036bc23_0
  cudatoolkit        conda-forge/linux-64::cudatoolkit-10.1.243-h036e899_9
  dbus               conda-forge/linux-64::dbus-1.13.6-h48d8840_2
  expat              conda-forge/linux-64::expat-2.4.1-h9c3ff4c_0
  ffmpeg             conda-forge/linux-64::ffmpeg-4.3.2-hca11adc_1
  fontconfig         conda-forge/linux-64::fontconfig-2.13.1-hba837de_1005
  freeglut           conda-forge/linux-64::freeglut-3.2.1-h9c3ff4c_2
  freetype           conda-forge/linux-64::freetype-2.10.4-h0708190_1
  future             conda-forge/linux-64::future-0.18.2-py37h89c1867_4
  gettext            conda-forge/linux-64::gettext-0.19.8.1-h73d1719_1008
  glib               conda-forge/linux-64::glib-2.70.1-h780b84a_0
  glib-tools         conda-forge/linux-64::glib-tools-2.70.1-h780b84a_0
  gmp                conda-forge/linux-64::gmp-6.2.1-h58526e2_0
  gnutls             conda-forge/linux-64::gnutls-3.6.13-h85f3911_1
  graphite2          conda-forge/linux-64::graphite2-1.3.13-h58526e2_1001
  gst-plugins-base   conda-forge/linux-64::gst-plugins-base-1.18.5-hf529b03_2
  gstreamer          conda-forge/linux-64::gstreamer-1.18.5-h9f60fe5_2
  harfbuzz           conda-forge/linux-64::harfbuzz-3.1.1-h83ec7ef_0
  hdf5               conda-forge/linux-64::hdf5-1.12.1-nompi_h2750804_102
  icu                conda-forge/linux-64::icu-68.2-h9c3ff4c_0
  jasper             conda-forge/linux-64::jasper-2.0.33-ha77e612_0
  jbig               conda-forge/linux-64::jbig-2.1-h7f98852_2003
  jpeg               conda-forge/linux-64::jpeg-9d-h36c2ea0_0
  krb5               conda-forge/linux-64::krb5-1.19.2-hcc1bbae_3
  lame               conda-forge/linux-64::lame-3.100-h7f98852_1001
  lcms2              conda-forge/linux-64::lcms2-2.12-hddcbb42_0
  ld_impl_linux-64   conda-forge/linux-64::ld_impl_linux-64-2.36.1-hea4e1c9_2
  lerc               conda-forge/linux-64::lerc-3.0-h9c3ff4c_0
  libblas            conda-forge/linux-64::libblas-3.9.0-12_linux64_mkl
  libcblas           conda-forge/linux-64::libcblas-3.9.0-12_linux64_mkl
  libclang           conda-forge/linux-64::libclang-11.1.0-default_ha53f305_1
  libcurl            conda-forge/linux-64::libcurl-7.80.0-h2574ce0_0
  libdeflate         conda-forge/linux-64::libdeflate-1.8-h7f98852_0
  libedit            conda-forge/linux-64::libedit-3.1.20191231-he28a2e2_2
  libev              conda-forge/linux-64::libev-4.33-h516909a_1
  libevent           conda-forge/linux-64::libevent-2.1.10-h9b69904_4
  libffi             conda-forge/linux-64::libffi-3.4.2-h7f98852_5
  libgcc-ng          conda-forge/linux-64::libgcc-ng-11.2.0-h1d223b6_11
  libgfortran-ng     conda-forge/linux-64::libgfortran-ng-11.2.0-h69a702a_11
  libgfortran5       conda-forge/linux-64::libgfortran5-11.2.0-h5c6108e_11
  libglib            conda-forge/linux-64::libglib-2.70.1-h174f98d_0
  libglu             conda-forge/linux-64::libglu-9.0.0-he1b5a44_1001
  libiconv           conda-forge/linux-64::libiconv-1.16-h516909a_0
  liblapack          conda-forge/linux-64::liblapack-3.9.0-12_linux64_mkl
  liblapacke         conda-forge/linux-64::liblapacke-3.9.0-12_linux64_mkl
  libllvm11          conda-forge/linux-64::libllvm11-11.1.0-hf817b99_2
  libnghttp2         conda-forge/linux-64::libnghttp2-1.43.0-h812cca2_1
  libnsl             conda-forge/linux-64::libnsl-2.0.0-h7f98852_0
  libogg             conda-forge/linux-64::libogg-1.3.4-h7f98852_1
  libopencv          conda-forge/linux-64::libopencv-4.5.3-py37hbfc4018_5
  libopus            conda-forge/linux-64::libopus-1.3.1-h7f98852_1
  libpng             conda-forge/linux-64::libpng-1.6.37-h21135ba_2
  libpq              conda-forge/linux-64::libpq-13.5-hd57d9b9_0
  libprotobuf        conda-forge/linux-64::libprotobuf-3.18.1-h780b84a_0
  libssh2            conda-forge/linux-64::libssh2-1.10.0-ha56f1ee_2
  libstdcxx-ng       conda-forge/linux-64::libstdcxx-ng-11.2.0-he4da1e4_11
  libtiff            conda-forge/linux-64::libtiff-4.3.0-h6f004c6_2
  libuuid            conda-forge/linux-64::libuuid-2.32.1-h7f98852_1000
  libvorbis          conda-forge/linux-64::libvorbis-1.3.7-h9c3ff4c_0
  libwebp-base       conda-forge/linux-64::libwebp-base-1.2.1-h7f98852_0
  libxcb             conda-forge/linux-64::libxcb-1.13-h7f98852_1004
  libxkbcommon       conda-forge/linux-64::libxkbcommon-1.0.3-he3ba5ed_0
  libxml2            conda-forge/linux-64::libxml2-2.9.12-h72842e0_0
  libzlib            conda-forge/linux-64::libzlib-1.2.11-h36c2ea0_1013
  llvm-openmp        conda-forge/linux-64::llvm-openmp-12.0.1-h4bd325d_1
  lz4-c              conda-forge/linux-64::lz4-c-1.9.3-h9c3ff4c_1
  mkl                conda-forge/linux-64::mkl-2021.4.0-h8d4b97c_729
  mysql-common       conda-forge/linux-64::mysql-common-8.0.27-ha770c72_1
  mysql-libs         conda-forge/linux-64::mysql-libs-8.0.27-hfa10184_1
  ncurses            conda-forge/linux-64::ncurses-6.2-h58526e2_4
  nettle             conda-forge/linux-64::nettle-3.6-he412f7d_0
  ninja              conda-forge/linux-64::ninja-1.10.2-h4bd325d_1
  nspr               conda-forge/linux-64::nspr-4.32-h9c3ff4c_1
  nss                conda-forge/linux-64::nss-3.72-hb5efdd6_0
  numpy              conda-forge/linux-64::numpy-1.21.4-py37h31617e3_0
  olefile            conda-forge/noarch::olefile-0.46-pyh9f0ad1d_1
  opencv             conda-forge/linux-64::opencv-4.5.3-py37h89c1867_5
  openh264           conda-forge/linux-64::openh264-2.1.1-h780b84a_0
  openjpeg           conda-forge/linux-64::openjpeg-2.4.0-hb52868f_1
  openssl            conda-forge/linux-64::openssl-1.1.1l-h7f98852_0
  pcre               conda-forge/linux-64::pcre-8.45-h9c3ff4c_0
  pillow             conda-forge/linux-64::pillow-8.4.0-py37h0f21c89_0
  pip                conda-forge/noarch::pip-21.3.1-pyhd8ed1ab_0
  pixman             conda-forge/linux-64::pixman-0.40.0-h36c2ea0_0
  pthread-stubs      conda-forge/linux-64::pthread-stubs-0.4-h36c2ea0_1001
  py-opencv          conda-forge/linux-64::py-opencv-4.5.3-py37h6531663_5
  pycparser          conda-forge/noarch::pycparser-2.21-pyhd8ed1ab_0
  python             conda-forge/linux-64::python-3.7.12-hb7a2778_100_cpython
  python_abi         conda-forge/linux-64::python_abi-3.7-2_cp37m
  pytorch            conda-forge/linux-64::pytorch-1.10.0-cpu_py37hf3cc979_0
  pytorch-cpu        conda-forge/linux-64::pytorch-cpu-1.10.0-cpu_py37h718b53a_0
  qt                 conda-forge/linux-64::qt-5.12.9-hda022c4_4
  readline           conda-forge/linux-64::readline-8.1-h46c0cb4_0
  setuptools         conda-forge/linux-64::setuptools-59.2.0-py37h89c1867_0
  sleef              conda-forge/linux-64::sleef-3.5.1-h9b69904_2
  sqlite             conda-forge/linux-64::sqlite-3.36.0-h9cd32fc_2
  tbb                conda-forge/linux-64::tbb-2021.4.0-h4bd325d_1
  tk                 conda-forge/linux-64::tk-8.6.11-h27826a3_1
  torchvision        conda-forge/linux-64::torchvision-0.10.1-py37h9e046cd_0_cpu
  typing_extensions  conda-forge/noarch::typing_extensions-4.0.0-pyha770c72_0
  wheel              conda-forge/noarch::wheel-0.37.0-pyhd8ed1ab_1
  x264               conda-forge/linux-64::x264-1!161.3030-h7f98852_1
  xorg-fixesproto    conda-forge/linux-64::xorg-fixesproto-5.0-h7f98852_1002
  xorg-inputproto    conda-forge/linux-64::xorg-inputproto-2.3.2-h7f98852_1002
  xorg-kbproto       conda-forge/linux-64::xorg-kbproto-1.0.7-h7f98852_1002
  xorg-libice        conda-forge/linux-64::xorg-libice-1.0.10-h7f98852_0
  xorg-libsm         conda-forge/linux-64::xorg-libsm-1.2.3-hd9c2040_1000
  xorg-libx11        conda-forge/linux-64::xorg-libx11-1.7.2-h7f98852_0
  xorg-libxau        conda-forge/linux-64::xorg-libxau-1.0.9-h7f98852_0
  xorg-libxdmcp      conda-forge/linux-64::xorg-libxdmcp-1.1.3-h7f98852_0
  xorg-libxext       conda-forge/linux-64::xorg-libxext-1.3.4-h7f98852_1
  xorg-libxfixes     conda-forge/linux-64::xorg-libxfixes-5.0.3-h7f98852_1004
  xorg-libxi         conda-forge/linux-64::xorg-libxi-1.7.10-h7f98852_0
  xorg-libxrender    conda-forge/linux-64::xorg-libxrender-0.9.10-h7f98852_1003
  xorg-renderproto   conda-forge/linux-64::xorg-renderproto-0.11.1-h7f98852_1002
  xorg-xextproto     conda-forge/linux-64::xorg-xextproto-7.3.0-h7f98852_1002
  xorg-xproto        conda-forge/linux-64::xorg-xproto-7.0.31-h7f98852_1007
  xz                 conda-forge/linux-64::xz-5.2.5-h516909a_1
  zlib               conda-forge/linux-64::zlib-1.2.11-h36c2ea0_1013
  zstd               conda-forge/linux-64::zstd-1.5.0-ha95c52a_0


Proceed ([y]/n)? y


Downloading and Extracting Packages
hdf5-1.12.1          | 3.5 MB    | ################################################################################################################################################## | 100% 
libpq-13.5           | 2.8 MB    | ################################################################################################################################################## | 100% 
Preparing transaction: done
Verifying transaction: done
Executing transaction: | By downloading and using the CUDA Toolkit conda packages, you accept the terms and conditions of the CUDA End User License Agreement (EULA): https://docs.nvidia.com/cuda/eula/index.html

done

Details of my system

I am on Ubuntu 20.04

The command:

nvcc --version

gives the following output

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Sun_Jul_28_19:07:16_PDT_2019
Cuda compilation tools, release 10.1, V10.1.243

The command:

nvidia-smi

gives the following output

Tue Nov 23 17:44:11 2021       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 470.82.00    Driver Version: 470.82.00    CUDA Version: 11.4     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  NVIDIA GeForce ...  Off  | 00000000:01:00.0  On |                  N/A |
| N/A   54C    P0    25W /  N/A |    833MiB /  7973MiB |      1%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|    0   N/A  N/A      1082      G   /usr/lib/xorg/Xorg                102MiB |
|    0   N/A  N/A      1693      G   /usr/lib/xorg/Xorg                405MiB |
|    0   N/A  N/A      1823      G   /usr/bin/gnome-shell              130MiB |
|    0   N/A  N/A      2306      G   ...AAAAAAAAA= --shared-files      139MiB |
|    0   N/A  N/A      4719      G   .../debug.log --shared-files        2MiB |
|    0   N/A  N/A     13922      G   ...AAAAAAAAA= --shared-files       37MiB |
+-----------------------------------------------------------------------------+

qysnn · Answer 37 · Wed Nov 24 2021 01:47:16 GMT+0800 (China Standard Time)

I had the same problem but still I cannot find a solution to my problem

I installed everything in my anaconda environment with:

conda install -c conda-forge -c pytorch python=3.7 pytorch torchvision cudatoolkit=10.1 opencv numpy pillow

Now I noticed that I installed the following packages (among others)
  python             conda-forge/linux-64::python-3.7.12-hb7a2778_100_cpython
  python_abi         conda-forge/linux-64::python_abi-3.7-2_cp37m
  pytorch            conda-forge/linux-64::pytorch-1.10.0-cpu_py37hf3cc979_0
  pytorch-cpu        conda-forge/linux-64::pytorch-cpu-1.10.0-cpu_py37h718b53a_0
  qt                 conda-forge/linux-64::qt-5.12.9-hda022c4_4
Which means that the versions of pytorch installed are CPU only. Correct?

How can I install now a version of pytorch which is CUDA enabled?

Output details

Details of my system

I think the latest Pytorch pre-built that supports CUDA 10.1 is Pytorch 1.8.1. So if you want Pytorch to work with CUDA 10.1, you either need to install the Pytorch 1.8.1 (or earlier), or compile Pytorch from source.

kalman13 · Answer 38 · Wed Nov 24 2021 02:32:37 GMT+0800 (China Standard Time)

Thanks @qysnn for your answer.

In the end I switched from Conda to virtualenv and it worked at the first try.

I created my virtualenv with virtualenv virtualenv_name

Then I did

workon virtualenv_name

then, I installed pytorch as it is specified on the official pytorch website (but selecting pip instead of conda) as package manager (https://pytorch.org/get-started/locally/).

conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch

This worked for me and now I have a CUDA-enabled version of pytorch on my machine.

m-bor · Answer 39 · Thu Dec 02 2021 10:00:20 GMT+0800 (China Standard Time)

None of the above solutions worked for me. I finally got it run by using the following line:
device = torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu")

ssabatier · Answer 40 · Wed Dec 15 2021 14:00:59 GMT+0800 (China Standard Time)

Windows 10:
I figured it out by making a fresh conda environment with python=3.7
Then,

Because pytorch GPU only works with select cuda versions (11.1, 11.3, 10.2)
conda install -c conda-forge cudatoolkit=11.3 cudnn=8.2.0

Install pytorch from pytorch channel
conda install pytorch -c pytorch

Pratyush Shukla · Answer 41 · Sat Dec 25 2021 07:37:56 GMT+0800 (China Standard Time)

When using the conda install command line from pytorch.org, I ended up with both pytorch-cpu 1.6.0 and pytorch 1.9.0 installed in the same conda env.

To fix it, I had to conda env remove it, then create a new env with the same commandline without torchvision and torchaudio.

Then I installed those using conda install torchvision torchaudio -c pytorch -c nvidia and it triggered an upgrade of cudatoolkit from 11.1.74 to 11.2.72 (but it seems to work).

I used this on Manjaro 21.2, Miniconda3. This works perfectly!

mzhadigerov · Answer 42 · Mon Jan 17 2022 20:51:23 GMT+0800 (China Standard Time)

How to solve this If I don't have GPU on my machine?

ykn96 · Answer 43 · Thu Jan 20 2022 11:27:05 GMT+0800 (China Standard Time)

Hi may i know what is the command for non-conda versiosn of python ?
With regards to

conda install -c pytorch torchvision cudatoolkit=10.1 pytorch

Is it simply
pip install torch+cu90 torchvision+cu90
for cuda 9.0 ?

ykn96 · Answer 44 · Thu Jan 20 2022 12:28:48 GMT+0800 (China Standard Time)

@mzhadigerov i think if you dont have a GPU, you wont be able to use CUDA at all. Since CUDA is something that comes with NVIDIA GPUs

Pratyush Shukla · Answer 45 · Thu Jan 20 2022 13:13:30 GMT+0800 (China Standard Time)

@mzhadigerov i think if you dont have a GPU, you wont be able to use CUDA at all. Since CUDA is something that comes with NVIDIA GPUs

Yes, youu need to have a NVIDIA GPU to be able to use CUDA. PyTorch-CPU will work fine.

Pratyush Shukla · Answer 46 · Thu Jan 20 2022 13:17:10 GMT+0800 (China Standard Time)

Hi may i know what is the command for non-conda versiosn of python ? With regards to
conda install -c pytorch torchvision cudatoolkit=10.1 pytorch
Is it simply pip install torch+cu90 torchvision+cu90 for cuda 9.0 ?

Please refer to PyTorch installation page for the command of the appropriate PyTorch version.

Inam Ahamed · Answer 47 · Tue Jan 25 2022 15:24:19 GMT+0800 (China Standard Time)

None of the above solutions worked for me. I finally got it run by using the following line: device = torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu")

yah its work coz it dose not use GPU hahhaah

mzhadigerov · Answer 48 · Tue Jan 25 2022 15:27:08 GMT+0800 (China Standard Time)

That's weird, because I used to do

torch.device("cpu")

before and it didn't work, but now it works

Jenny · Answer 49 · Tue Mar 01 2022 21:01:07 GMT+0800 (China Standard Time)

“Torch not compiled with CUDA enabled. ”

Recently I came across the same problem and fortunately I fixed it in the end. As for me, the troublesome problem occured when I deployed inappropriate versions of Cuda & Torch, and here is my solution:

Note that my project works on Linux.
I check my Nvidia & Cuda version on Linux through a simple command nvidia-smi.
Log in to CUDA Toolkit and Corresponding Driver Versions to check whether the version of Nvidia & Cuda installed is matchable or not. If not, probably you should reset Cuda to make it right.
Log in to Previously Pytorch Versions to get a right command to download the correct version of Torch for the specific Cuda.
For example, my server is driven by NVIDIA-SMI 418.43, so Cuda version 10.1 is matchable. The command for linux to download a matchable Torch(I want the version 1.5.0) should be pip install torch==1.5.0+cu101 torchvision==0.6.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html.
Hope that it's helpful for you.

Akshat Singh · Answer 50 · Mon Jul 04 2022 07:20:18 GMT+0800 (China Standard Time)

If you've ever ran pip install torch without the -f https://download.pytorch.org/whl/torch_stable.html argument, chances are, you have the corrupt cpu only version in your pip cache. whatever reinstall you do, doesn't matter because pip will just pull the same bad version from cache. to solve:
pip uninstall torch
pip cache purge
pip install torch -f https://download.pytorch.org/whl/torch_stable.html

Ah, perfect. Thank you very much.

Jenny · Answer 51 · Mon Jul 04 2022 07:20:42 GMT+0800 (China Standard Time)

这是来自QQ邮箱的假期自动回复邮件。感谢您的来信，邮件我已收到，谢谢！祝您生活愉快！

Andrey Kulikofff · Answer 52 · Tue Aug 23 2022 18:38:11 GMT+0800 (China Standard Time)

If you've ever ran pip install torch without the -f https://download.pytorch.org/whl/torch_stable.html argument, chances are, you have the corrupt cpu only version in your pip cache. whatever reinstall you do, doesn't matter because pip will just pull the same bad version from cache. to solve:
pip uninstall torch
pip cache purge
pip install torch -f https://download.pytorch.org/whl/torch_stable.html

It worked, thanx!

Jenny · Answer 53 · Tue Aug 23 2022 18:38:33 GMT+0800 (China Standard Time)

这是来自QQ邮箱的假期自动回复邮件。感谢您的来信，邮件我已收到，谢谢！祝您生活愉快！

WaXxX · Answer 54 · Sat Sep 17 2022 14:11:42 GMT+0800 (China Standard Time)

If you've ever ran pip install torch without the -f https://download.pytorch.org/whl/torch_stable.html argument, chances are, you have the corrupt cpu only version in your pip cache. whatever reinstall you do, doesn't matter because pip will just pull the same bad version from cache. to solve:
pip uninstall torch
pip cache purge
pip install torch -f https://download.pytorch.org/whl/torch_stable.html

Tried many fixes to no avail. This, however, worked. Thanks.

Jenny · Answer 55 · Sat Sep 17 2022 14:12:09 GMT+0800 (China Standard Time)

这是来自QQ邮箱的假期自动回复邮件。感谢您的来信，邮件我已收到，谢谢！祝您生活愉快！

dana-ludwig · Answer 56 · Tue Jan 10 2023 15:56:23 GMT+0800 (China Standard Time)

I had the same error message after installing PyTorch with the exact command they give as of now:
conda install pytorch torchvision torchaudio pytorch-cuda=11.6 -c pytorch -c nvidia

Jenny · Answer 57 · Tue Jan 10 2023 15:56:49 GMT+0800 (China Standard Time)

这是来自QQ邮箱的假期自动回复邮件。感谢您的来信，邮件我已收到，谢谢！祝您生活愉快！

MajesticMug · Answer 58 · Fri Jan 13 2023 14:39:13 GMT+0800 (China Standard Time)

In my case, simply uninstalling and then reinstalling pytorch with my CUDA version worked for me.

Run the command conda remove pytorch torchvision torchaudio cudatoolkit
Check your CUDA version the nvcc --version command. I have the 11.7
Install the pytorch that matches your CUDA version conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia

Note: you can get from the Get Started Page

Mostafa SADEGHI · Answer 59 · Tue Feb 07 2023 01:03:03 GMT+0800 (China Standard Time)

I had the same issue on Linux. I tried almost all the solutions proposed here, but none worked. Finally, I could solve my problem by first uninstalling Torch with pip uninstall torch, and then reinstalling it with Wheel:

pip install torch==1.12.1+cu102 torchvision==0.13.1+cu102 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu102

Then, I got the following, which confirmed that Torch was successfully compiled with CUDA enabled:

>>> import torch
>>> torch.__version__
'1.12.1+cu102'
>>> torch.zeros(1).cuda()
tensor([0.], device='cuda:0')
>>> torch.cuda.is_available()
True

Jenny · Answer 60 · Tue Feb 07 2023 01:03:27 GMT+0800 (China Standard Time)

这是来自QQ邮箱的假期自动回复邮件。感谢您的来信，邮件我已收到，谢谢！祝您生活愉快！

Jenny · Answer 61 · Sun Apr 02 2023 00:21:44 GMT+0800 (China Standard Time)

这是来自QQ邮箱的假期自动回复邮件。感谢您的来信，邮件我已收到，谢谢！祝您生活愉快！

Luis Fernando Leal · Answer 62 · Tue May 09 2023 01:05:34 GMT+0800 (China Standard Time)

For me it is very weird, it worked one day, and the next one(without installing nor configuring anything) it started to raise this problem, I'm not sure what happened but just the day before I was succesfully using cuda and my GPUs

Jenny · Answer 63 · Tue May 09 2023 01:06:01 GMT+0800 (China Standard Time)

这是来自QQ邮箱的假期自动回复邮件。感谢您的来信，邮件我已收到，谢谢！祝您生活愉快！

gsirvine · Answer 64 · Wed May 10 2023 23:41:34 GMT+0800 (China Standard Time)

what if i want to use the CPU version only why am i having issues with this assertion cuda enabled?

Yusuf Kemal Demir; PhD · Answer 65 · Tue May 30 2023 12:11:42 GMT+0800 (China Standard Time)

Hi,
I have M2 max chip MacOS with 12 CPU, 38 GPU. I am getting this error :“Torch not compiled with CUDA enabled”. May I ask your help please? Thanks

Jenny · Answer 66 · Tue May 30 2023 12:12:05 GMT+0800 (China Standard Time)

这是来自QQ邮箱的假期自动回复邮件。感谢您的来信，邮件我已收到，谢谢！祝您生活愉快！

大大的微笑 · Answer 67 · Fri Jun 02 2023 15:17:10 GMT+0800 (China Standard Time)

in DragGAN code, my idea,
device = F.device
...
# points.append(torch.tensor([i, j]).float().cuda())
points.append(torch.tensor([i, j]).float().to(device))

scythe000 · Answer 68 · Tue Jun 13 2023 07:37:37 GMT+0800 (China Standard Time)

If you've ever ran pip install torch without the -f https://download.pytorch.org/whl/torch_stable.html argument, chances are, you have the corrupt cpu only version in your pip cache. whatever reinstall you do, doesn't matter because pip will just pull the same bad version from cache. to solve:
pip uninstall torch
pip cache purge
pip install torch -f https://download.pytorch.org/whl/torch_stable.html
Tried many fixes to no avail. This, however, worked. Thanks.

This worked for me, thanks!

Ahmadreza Vakil · Answer 69 · Fri Jun 16 2023 20:29:32 GMT+0800 (China Standard Time)

pip uninstall torch
pip cache purge
pip install torch -f https://download.pytorch.org/whl/torch_stable.html

I had the same problem and the issue is fixed with the above solution.
Just run each command separately and it should solve your problem if it is the same as my problem.
👍 😃
Thank you @Mwni

AR Visions · Answer 70 · Sun Jun 18 2023 13:48:17 GMT+0800 (China Standard Time)

looks like the mac build has been torched for some time.

(the above fix didnt work)

Yogesh Jog · Answer 71 · Mon Jul 03 2023 19:26:32 GMT+0800 (China Standard Time)

To get cuda version run below command

nvidia-smi

or

nvcc --version

as mentioned above then below command works for me:

conda install -c pytorch torchvision cudatoolkit=replace_your_cuda_version_here pytorch

and after that running below commands solved my issue.

pip uninstall torch
pip cache purge
pip install torch -f https://download.pytorch.org/whl/torch_stable.html

Jenny · Answer 72 · Mon Jul 03 2023 19:26:56 GMT+0800 (China Standard Time)

这是来自QQ邮箱的假期自动回复邮件。感谢您的来信，邮件我已收到，谢谢！祝您生活愉快！

SharonPeled · Answer 73 · Wed Sep 06 2023 04:44:49 GMT+0800 (China Standard Time)

I had the same issue on Linux. I tried almost all the solutions proposed here, but none worked. Finally, I could solve my problem by first uninstalling Torch with pip uninstall torch, and then reinstalling it with Wheel:

pip install torch==1.12.1+cu102 torchvision==0.13.1+cu102 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu102

Then, I got the following, which confirmed that Torch was successfully compiled with CUDA enabled:
>>> import torch
>>> torch.__version__
'1.12.1+cu102'
>>> torch.zeros(1).cuda()
tensor([0.], device='cuda:0')
>>> torch.cuda.is_available()
True

Many thanks for the solution, that's the only solution that worked on my linux machine as well.
Although I'm getting RuntimeError: CUDA error: invalid device function when using nn.parallel.DistributedDataParallel, does anyone else had it? any ideas?

Jenny · Answer 74 · Wed Sep 06 2023 04:45:19 GMT+0800 (China Standard Time)

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Rais Kazi · Answer 75 · Wed Sep 06 2023 06:28:51 GMT+0800 (China Standard Time)

If you've ever ran pip install torch without the -f https://download.pytorch.org/whl/torch_stable.html argument, chances are, you have the corrupt cpu only version in your pip cache. whatever reinstall you do, doesn't matter because pip will just pull the same bad version from cache. to solve:
pip uninstall torch
pip cache purge
pip install torch -f https://download.pytorch.org/whl/torch_stable.html

This worked like a charm, Thank you !!!

geeker-smallwhite · Answer 76 · Fri Sep 29 2023 00:55:12 GMT+0800 (China Standard Time)

Hi, I have M2 max chip MacOS with 12 CPU, 38 GPU. I am getting this error :“Torch not compiled with CUDA enabled”. May I ask your help please? Thanks

I heve the same issue in same pc

Jenny · Answer 77 · Fri Sep 29 2023 01:17:04 GMT+0800 (China Standard Time)

这是来自QQ邮箱的假期自动回复邮件。感谢您的来信，邮件我已收到，谢谢！祝您生活愉快！

geeker-smallwhite · Answer 78 · Fri Sep 29 2023 15:28:15 GMT+0800 (China Standard Time)

Hi, I have M2 max chip MacOS with 12 CPU, 38 GPU. I am getting this error :“Torch not compiled with CUDA enabled”. May I ask your help please? Thanks

I heve the same issue in same pc

you can set runtime mode to resolve this issue

peterhchen · Answer 79 · Fri Sep 29 2023 15:33:57 GMT+0800 (China Standard Time)

#30664 1. Go to NIVIDIA and install cuda toolkit:

nvcc —version

2. Install pytorch

…

On Fri, Sep 29, 2023 at 12:28 AM geeker-smallwhite ***@***.***> wrote: Hi, I have M2 max chip MacOS with 12 CPU, 38 GPU. I am getting this error :“Torch not compiled with CUDA enabled”. May I ask your help please? Thanks I heve the same issue in same pc you can set runtime mode to resolve this issue — Reply to this email directly, view it on GitHub <#30664 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ADBSBD47WYWGVZA7QQMXKLLX4Z2BZANCNFSM4JUZTN3A> . You are receiving this because you commented.Message ID: ***@***.***>

Matheus Araujo · Answer 80 · Tue Oct 24 2023 03:05:08 GMT+0800 (China Standard Time)

You need to make sure that your cuda driver (downloaded at https://developer.nvidia.com/cuda-downloads) matches with the pytorch-cuda library version that you install with python.

For example, the current snippet at the official pytorch site is:
conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia

So, you need to have the 11.8 version of cuda downloaded from nvidia official website and installed.

Jenny · Answer 81 · Tue Oct 24 2023 03:05:36 GMT+0800 (China Standard Time)

这是来自QQ邮箱的假期自动回复邮件。感谢您的来信，邮件我已收到，谢谢！祝您生活愉快！

StantheBrain · Answer 82 · Mon Oct 30 2023 17:57:00 GMT+0800 (China Standard Time)

pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118

liwenyi · Answer 83 · Sun Nov 26 2023 17:11:30 GMT+0800 (China Standard Time)

如果您曾经在pip install torch没有-f https://download.pytorch.org/whl/torch_stable.html参数的情况下运行过，那么您的 pip 缓存中很可能有损坏的仅 cpu 版本。无论你做什么重新安装，都没关系，因为 pip 只会从缓存中提取相同的错误版本。解决：
pip uninstall torch
pip cache purge
pip install torch -f https://download.pytorch.org/whl/torch_stable.html

thank you！！！！！

Jenny · Answer 84 · Sun Nov 26 2023 17:12:03 GMT+0800 (China Standard Time)

这是来自QQ邮箱的假期自动回复邮件。感谢您的来信，邮件我已收到，谢谢！祝您生活愉快！

ATkouti · Answer 85 · Thu Dec 21 2023 18:59:38 GMT+0800 (China Standard Time)

pip uninstall torch pip cache purge pip install torch -f https://download.pytorch.org/whl/torch_stable.html

I had the same problem and the issue is fixed with the above solution. Just run each command separately and it should solve your problem if it is the same as my problem. 👍 😃 Thank you @Mwni

thank you so much it works for me :)

Jenny · Answer 86 · Thu Dec 21 2023 19:00:04 GMT+0800 (China Standard Time)

这是来自QQ邮箱的假期自动回复邮件。感谢您的来信，邮件我已收到，谢谢！祝您生活愉快！

Roopesh Saravanan · Answer 87 · Sun Feb 04 2024 20:44:02 GMT+0800 (China Standard Time)

I am getting the same error. My laptop doesn't have a dedicated Nvidia GPU. How can I resolve this? Is there any solution?

Jenny · Answer 88 · Sun Feb 04 2024 20:44:31 GMT+0800 (China Standard Time)

这是来自QQ邮箱的假期自动回复邮件。感谢您的来信，邮件我已收到，谢谢！祝您生活愉快！

Robert Sutherland · Answer 89 · Thu Feb 15 2024 09:52:28 GMT+0800 (China Standard Time)

If you've ever ran pip install torch without the -f https://download.pytorch.org/whl/torch_stable.html argument, chances are, you have the corrupt cpu only version in your pip cache. whatever reinstall you do, doesn't matter because pip will just pull the same bad version from cache. to solve:
pip uninstall torch
pip cache purge
pip install torch -f https://download.pytorch.org/whl/torch_stable.html

This one worked for me too! Thanks

covalspace · Answer 90 · Fri Apr 12 2024 15:46:10 GMT+0800 (China Standard Time)

If you've ever ran pip install torch without the -f https://download.pytorch.org/whl/torch_stable.html argument, chances are, you have the corrupt cpu only version in your pip cache. whatever reinstall you do, doesn't matter because pip will just pull the same bad version from cache. to solve:
pip uninstall torch
pip cache purge
pip install torch -f https://download.pytorch.org/whl/torch_stable.html

this didn't work on my mac and now my torch is broken saying module not found but already satisfied so thanks a lot for this

Jenny · Answer 91 · Fri Apr 12 2024 15:46:52 GMT+0800 (China Standard Time)

这是来自QQ邮箱的假期自动回复邮件。感谢您的来信，邮件我已收到，谢谢！祝您生活愉快！

1458763783 · Answer 92 · Sun Jun 09 2024 19:11:22 GMT+0800 (China Standard Time)

How did you install pytorch? It sounds like you installed pytorch without CUDA support. https://pytorch.org/ has instructions for how to install pytorch with cuda support.

I also encountered the same error, this method is worked..

Jenny · Answer 93 · Sun Jun 09 2024 19:12:00 GMT+0800 (China Standard Time)

这是来自QQ邮箱的假期自动回复邮件。感谢您的来信，邮件我已收到，谢谢！祝您生活愉快！

StinkyKittyKiss · Answer 94 · Sat Jun 22 2024 02:25:10 GMT+0800 (China Standard Time)

If you've ever ran pip install torch without the -f https://download.pytorch.org/whl/torch_stable.html argument, chances are, you have the corrupt cpu only version in your pip cache. whatever reinstall you do, doesn't matter because pip will just pull the same bad version from cache. to solve:
pip uninstall torch
pip cache purge
pip install torch -f https://download.pytorch.org/whl/torch_stable.html

This fixed my problem when encountering this issue while using DeepLabCut (DLC).

gtimk6 · Answer 95 · Tue Jul 02 2024 09:09:20 GMT+0800 (China Standard Time)

I use in conda env., reinstall it by commands and solved it.
e.g: conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia
pytorch-cuda depends you version.

Abbas · Answer 96 · Wed Jul 03 2024 08:47:00 GMT+0800 (China Standard Time)

device = torch.device("cuda")

This happens once you install pytorch using conda. Instead, install it using:
pip install torch