# Pytorch for cuda 10.2

**URL:** <https://discuss.pytorch.org/t/pytorch-for-cuda-10-2/65524>\
**Category:** Uncategorized\
**Created:** [January 1, 2020, 4:13pm UTC](https://discuss.pytorch.org/t/pytorch-for-cuda-10-2/65524 "2020-01-01T16:13:15Z")\
**Posts on this page:** 20\
**Page:** 1

<div class="post-metadata">

**Author:** ![silverant](https://discuss.pytorch.org/letter_avatar_proxy/v4/letter/s/5f9b8f/32.png) [@silverant](https://discuss.pytorch.org/u/silverant)\
**Post date:** [January 1, 2020, 4:13pm UTC](https://discuss.pytorch.org/t/pytorch-for-cuda-10-2/65524/1 "2020-01-01T16:13:16Z")

</div>

Hi all,

this is my first post and I am new to AI and RL… please apologize

I use ubuntu 18.04.1  
I follow installation guide from [pytorch](https://pytorch.org/get-started/locally/#linux-verification) and followed cuda instalation guide [nvidia](https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1604&target_type=deblocal)

I notice that I cannot choose cuda 10.2 but that nvidia download site only offer cuda 10.2.

And after following above guide, `torch.cuda.is_available()` give `false` result.

here is my `nvcc -V`

```auto
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

```

`nvidia-smi`

```auto
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.33.01 Driver Version: 440.33.01 CUDA Version: 10.2 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 1050 On | 00000000:01:00.0 Off | N/A |
| N/A 48C P0 N/A / N/A | 355MiB / 3020MiB | 10% Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1105 G /usr/lib/xorg/Xorg 27MiB |
| 0 1211 G /usr/bin/gnome-shell 47MiB |
| 0 1453 G /usr/lib/xorg/Xorg 138MiB |
| 0 1609 G /usr/bin/gnome-shell 136MiB |
| 0 4046 G /usr/lib/firefox/firefox 1MiB |
+-----------------------------------------------------------------------------+

```

and now when I type `conda install pytorch torchvision cudatoolkit=10.1 -c pytorch` it says  
`# All requested packages already installed.`

do you have any suggestion to solve this please ( I want to use cuda)…

thanks in advance

best regards,

\*edit nvidia link from runfilelocal to deblocal

---

<div class="post-metadata">

**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:** [January 1, 2020, 7:32pm UTC](https://discuss.pytorch.org/t/pytorch-for-cuda-10-2/65524/2 "2020-01-01T19:32:25Z")

</div>

The binaries ship with their own CUDA, cudnn, etc. so that you don’t need to install these libs locally, if you are fine with the provided versions.

Could you uninstall PyTorch in your conda environment and reinstall it (with `cudatoolkit=10.1`)?

If you want to use e.g. CUDA10.2, you would have to install it locally and build PyTorch from source.

---

<div class="post-metadata">

**Author:** ![silverant](https://discuss.pytorch.org/letter_avatar_proxy/v4/letter/s/5f9b8f/32.png) [@silverant](https://discuss.pytorch.org/u/silverant)\
**Post date:** [January 2, 2020, 12:18am UTC](https://discuss.pytorch.org/t/pytorch-for-cuda-10-2/65524/4 "2020-01-02T00:18:32Z")

</div>

Dear ptrblck,

it works !

I follow your instruction.

uninstall pytorch

```auto
$ conda remove pytorch

```

```auto
## Package Plan ##

  environment location: /home/silverant/anaconda3/envs/rl_gym_book

  removed specs:
    - pytorch

The following packages will be downloaded:

    package | build
    ---------------------------|-----------------
    mkl-2018.0.3 | 1 126.9 MB
    mkl_fft-1.0.6 | py35h7dd41cf_0 134 KB
    mkl_random-1.0.1 | py35h4414c95_1 313 KB
    numpy-1.15.2 | py35h1d66e8a_0 46 KB
    numpy-base-1.15.2 | py35h81de0dd_0 3.4 MB
    tbb-2019.8 | hfd86e86_0 1.1 MB
    tbb4py-2018.0.5 | py35h6bb024c_0 201 KB
    ------------------------------------------------------------
                                           Total: 132.1 MB

The following NEW packages will be INSTALLED:

  mkl_fft pkgs/main/linux-64::mkl_fft-1.0.6-py35h7dd41cf_0
  mkl_random pkgs/main/linux-64::mkl_random-1.0.1-py35h4414c95_1
  numpy-base pkgs/main/linux-64::numpy-base-1.15.2-py35h81de0dd_0
  tbb pkgs/main/linux-64::tbb-2019.8-hfd86e86_0
  tbb4py pkgs/main/linux-64::tbb4py-2018.0.5-py35h6bb024c_0

The following packages will be REMOVED:

  cudatoolkit-10.1.243-h6bb024c_0
  libtiff-4.1.0-h2733197_0
  olefile-0.46-py35_0
  pillow-5.2.0-py35heded4f4_0
  pytorch-1.3.1-py3.5_cuda10.1.243_cudnn7.6.3_0
  torchvision-0.4.2-py35_cu101
  zstd-1.3.7-h0b5b093_0

The following packages will be UPDATED:

  numpy 1.14.2-py35hdbf6ddf_0 --> 1.15.2-py35h1d66e8a_0

The following packages will be DOWNGRADED:

  mkl 2019.4-243 --> 2018.0.3-1

Proceed ([y]/n)? y

```

then install pytorch again

```auto
conda install pytorch torchvision cudatoolkit=10.1 -c pytorch

```

```auto
## Package Plan ##

  environment location: /home/silverant/anaconda3/envs/rl_gym_book

  added / updated specs:
    - cudatoolkit=10.1
    - pytorch
    - torchvision

The following NEW packages will be INSTALLED:

  cudatoolkit pkgs/main/linux-64::cudatoolkit-10.1.243-h6bb024c_0
  libtiff pkgs/main/linux-64::libtiff-4.1.0-h2733197_0
  olefile pkgs/main/linux-64::olefile-0.46-py35_0
  pillow pkgs/main/linux-64::pillow-5.2.0-py35heded4f4_0
  pytorch pytorch/linux-64::pytorch-1.3.1-py3.5_cuda10.1.243_cudnn7.6.3_0
  torchvision pytorch/linux-64::torchvision-0.4.2-py35_cu101
  zstd pkgs/main/linux-64::zstd-1.3.7-h0b5b093_0

Proceed ([y]/n)? y

Preparing transaction: done
Verifying transaction: done
Executing transaction: done

```

and after that, the cuda.is\_available() return True

```auto
$ python -c 'import torch;print(torch.cuda.is_available())'
True

```

Thank you very much sir.

best regards,

---

<div class="post-metadata">

**Author:** ![mcskwayrd](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/mcskwayrd/32/2138_2.png) [@mcskwayrd](https://discuss.pytorch.org/u/mcskwayrd)\
**Post date:** [February 1, 2020, 4:15am UTC](https://discuss.pytorch.org/t/pytorch-for-cuda-10-2/65524/5 "2020-02-01T04:15:45Z")

</div>

It looks like I’m going to need to install the whole thing from source, i.e. switching to 10.1 isn’t going to work for me.

The [instructions for installing from source](https://github.com/pytorch/pytorch#from-source) also mention “# Add LAPACK support for the GPU if needed” but then rely on prebuilt packages for magma that don’t include CUDA 10.2.

Two questions (e.g. for @ptrblck :

1. What happens if we don’t install magma – do we get any GPU support, or is it just not as lighting-fast as it could be?
2. If we’re going to build magma from source, is there any recommended way to do it, e.g. selecting the mkl + gcc version of the magma example make.inc?

Thanks.

---

<div class="post-metadata">

**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:** [February 1, 2020, 5:38am UTC](https://discuss.pytorch.org/t/pytorch-for-cuda-10-2/65524/6 "2020-02-01T05:38:14Z")

</div>

1. Linear algebra methods rely on magma (e.g. [here](https://github.com/pytorch/pytorch/blob/877c96cddfebee00385307f9e1b1f3b4ec72bfdc/aten/src/ATen/native/cuda/BatchLinearAlgebra.cu#L22)) so you won’t be able to use them. However, a lot of models don’t use these methods, so as long as you don’t need to e.g. calculate the log determinant of your weight parameter, you should be fine.

2. I would recommend to stick to [pytorch/builder](https://github.com/pytorch/builder/tree/master/conda/magma-cuda101-2.5.1) for the magma build.  
For CUDA10.2 you shouldn’t need any changes in the build script besides the CUDA version change, but let me know, if you get stuck. Also, you could have a look at the [NGC PyTorch container](https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel_20-01.html#rel_20-01), which ships with CUDA10.2.

---

<div class="post-metadata">

**Author:** ![PavlosTiritiris](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/pavlostiritiris/32/20140_2.png) [@PavlosTiritiris](https://discuss.pytorch.org/u/PavlosTiritiris)\
**Post date:** [February 1, 2020, 6:21pm UTC](https://discuss.pytorch.org/t/pytorch-for-cuda-10-2/65524/7 "2020-02-01T18:21:31Z")

</div>

Hi , i did the same thing with you but it didn’t work.  
My OS is Windows10.My cuda version 10.2

```auto
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Wed_Oct_23_19:32:27_Pacific_Daylight_Time_2019
Cuda compilation tools, release 10.2, V10.2.89

```

Remove pytorch:

```auto
(base) C:\Users\pavlo>conda remove pytorch
Collecting package metadata (repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: C:\Users\pavlo\Miniconda3

  removed specs:
    - pytorch

The following packages will be REMOVED:

  blas-1.0-mkl
  freetype-2.9.1-ha9979f8_1
  icc_rt-2019.0.0-h0cc432a_1
  intel-openmp-2019.4-245
  jpeg-9b-hb83a4c4_2
  libpng-1.6.37-h2a8f88b_0
  libtiff-4.1.0-h56a325e_0
  mkl-2019.4-245
  mkl-service-2.3.0-py37hb782905_0
  mkl_fft-1.0.15-py37h14836fe_0
  mkl_random-1.1.0-py37h675688f_0
  ninja-1.9.0-py37h74a9793_0
  numpy-1.18.1-py37h93ca92e_0
  numpy-base-1.18.1-py37hc3f5095_1
  olefile-0.46-py37_0
  pillow-7.0.0-py37hcc1f983_0
  pytorch-1.4.0-py3.7_cpu_0
  tk-8.6.8-hfa6e2cd_0
  torchvision-0.5.0-py37_cpu
  xz-5.2.4-h2fa13f4_4
  zlib-1.2.11-h62dcd97_3
  zstd-1.3.7-h508b16e_0

Proceed ([y]/n)? y

Preparing transaction: done
Verifying transaction: done
Executing transaction: done

```

Install pytorch again:

```auto
(base) C:\Users\pavlo>conda install pytorch torchvision cudatoolkit=10.1 -c pytorch
Collecting package metadata (current_repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: C:\Users\pavlo\Miniconda3

  added / updated specs:
    - cudatoolkit=10.1
    - pytorch
    - torchvision

The following NEW packages will be INSTALLED:

  blas pkgs/main/win-64::blas-1.0-mkl
  freetype pkgs/main/win-64::freetype-2.9.1-ha9979f8_1
  icc_rt pkgs/main/win-64::icc_rt-2019.0.0-h0cc432a_1
  intel-openmp pkgs/main/win-64::intel-openmp-2019.4-245
  jpeg pkgs/main/win-64::jpeg-9b-hb83a4c4_2
  libpng pkgs/main/win-64::libpng-1.6.37-h2a8f88b_0
  libtiff pkgs/main/win-64::libtiff-4.1.0-h56a325e_0
  mkl pkgs/main/win-64::mkl-2019.4-245
  mkl-service pkgs/main/win-64::mkl-service-2.3.0-py37hb782905_0
  mkl_fft pkgs/main/win-64::mkl_fft-1.0.15-py37h14836fe_0
  mkl_random pkgs/main/win-64::mkl_random-1.1.0-py37h675688f_0
  ninja pkgs/main/win-64::ninja-1.9.0-py37h74a9793_0
  numpy pkgs/main/win-64::numpy-1.18.1-py37h93ca92e_0
  numpy-base pkgs/main/win-64::numpy-base-1.18.1-py37hc3f5095_1
  olefile pkgs/main/win-64::olefile-0.46-py37_0
  pillow pkgs/main/win-64::pillow-7.0.0-py37hcc1f983_0
  pytorch pytorch/win-64::pytorch-1.4.0-py3.7_cpu_0
  tk pkgs/main/win-64::tk-8.6.8-hfa6e2cd_0
  torchvision pytorch/win-64::torchvision-0.5.0-py37_cpu
  xz pkgs/main/win-64::xz-5.2.4-h2fa13f4_4
  zlib pkgs/main/win-64::zlib-1.2.11-h62dcd97_3
  zstd pkgs/main/win-64::zstd-1.3.7-h508b16e_0

Proceed ([y]/n)? y

Preparing transaction: done
Verifying transaction: done
Executing transaction: done

(base) C:\Users\pavlo>python -c "import torch;print(torch.cuda.is_available())"
False

```

Do you have any ideas of what is going on here? Here is my conda list and i wonder why i have a [cpuonly] on pytorch package.

```auto
(base) C:\Users\pavlo>conda list
# packages in environment at C:\Users\pavlo\Miniconda3:
#
# Name Version Build Channel
absl-py 0.8.1 pypi_0 pypi
asn1crypto 1.3.0 py37_0
astor 0.8.0 pypi_0 pypi
atari-py 0.2.6 pypi_0 pypi
blas 1.0 mkl
ca-certificates 2020.1.1 0
certifi 2019.11.28 py37_0
cffi 1.13.2 py37h7a1dbc1_0
chardet 3.0.4 py37_1003
cloudpickle 1.2.2 pypi_0 pypi
conda 4.8.1 py37_0
conda-package-handling 1.6.0 py37h62dcd97_0
console_shortcut 0.1.1 3
cpuonly 1.0 0 pytorch
cryptography 2.8 py37h7a1dbc1_0
cudatoolkit 10.1.243 h74a9793_0
cycler 0.10.0 pypi_0 pypi
cython 0.29.13 pypi_0 pypi
freetype 2.9.1 ha9979f8_1
future 0.18.0 pypi_0 pypi
gast 0.2.2 pypi_0 pypi
google-pasta 0.1.7 pypi_0 pypi
grpcio 1.24.1 pypi_0 pypi
gym 0.15.3 pypi_0 pypi
h5py 2.10.0 pypi_0 pypi
icc_rt 2019.0.0 h0cc432a_1
idna 2.8 py37_0
intel-openmp 2019.4 245
jpeg 9b hb83a4c4_2
keras 2.3.1 pypi_0 pypi
keras-applications 1.0.8 pypi_0 pypi
keras-preprocessing 1.1.0 pypi_0 pypi
keras-rl 0.4.2 pypi_0 pypi
kiwisolver 1.1.0 pypi_0 pypi
libpng 1.6.37 h2a8f88b_0
libtiff 4.1.0 h56a325e_0
lxml 4.4.1 pypi_0 pypi
markdown 3.1.1 pypi_0 pypi
matplotlib 3.1.1 pypi_0 pypi
menuinst 1.4.16 py37he774522_0
mkl 2019.4 245
mkl-service 2.3.0 py37hb782905_0
mkl_fft 1.0.15 py37h14836fe_0
mkl_random 1.1.0 py37h675688f_0
ninja 1.9.0 py37h74a9793_0
numpy 1.17.2 pypi_0 pypi
numpy-base 1.18.1 py37hc3f5095_1
olefile 0.46 py37_0
opencv-python 4.1.1.26 pypi_0 pypi
openssl 1.1.1d he774522_3
opt-einsum 3.1.0 pypi_0 pypi
pillow 7.0.0 py37hcc1f983_0
pip 20.0.2 py37_1
powershell_shortcut 0.0.1 2
protobuf 3.10.0 pypi_0 pypi
psutil 5.6.3 pypi_0 pypi
pycosat 0.6.3 py37he774522_0
pycparser 2.19 py37_0
pyglet 1.3.2 pypi_0 pypi
pyopenssl 19.1.0 py37_0
pyparsing 2.4.3 pypi_0 pypi
pyprind 2.11.2 pypi_0 pypi
pysocks 1.7.1 py37_0
python 3.7.3 h8c8aaf0_1
python-dateutil 2.8.1 pypi_0 pypi
pytils 0.3 pypi_0 pypi
pytorch 1.4.0 py3.7_cpu_0 [cpuonly] pytorch
pywin32 227 py37he774522_1
pyyaml 5.1.2 pypi_0 pypi
requests 2.22.0 py37_1
rlpyt 0.1.1.dev0 dev_0 <develop>
ruamel_yaml 0.15.87 py37he774522_0
scipy 1.3.1 pypi_0 pypi
setuptools 45.1.0 py37_0
six 1.14.0 py37_0
sqlite 3.30.1 he774522_0
tb-nightly 1.14.0a20190603 pypi_0 pypi
tensorboard 2.0.0 pypi_0 pypi
tensorflow 2.0.0b0 pypi_0 pypi
tensorflow-estimator 2.0.0 pypi_0 pypi
termcolor 1.1.0 pypi_0 pypi
tf-estimator-nightly 1.14.0.dev2019060501 pypi_0 pypi
tk 8.6.8 hfa6e2cd_0
tools 0.1.9 pypi_0 pypi
torchvision 0.5.0 py37_cpu [cpuonly] pytorch
tqdm 4.42.0 py_0
urllib3 1.25.8 py37_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_1
werkzeug 0.16.0 pypi_0 pypi
wheel 0.34.1 py37_0
win_inet_pton 1.1.0 py37_0
wincertstore 0.2 py37_0
wrapt 1.11.2 pypi_0 pypi
xz 5.2.4 h2fa13f4_4
yaml 0.1.7 hc54c509_2
zlib 1.2.11 h62dcd97_3
zstd 1.3.7 h508b16e_0

```

---

<div class="post-metadata">

**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:** [February 1, 2020, 8:11pm UTC](https://discuss.pytorch.org/t/pytorch-for-cuda-10-2/65524/8 "2020-02-01T20:11:54Z")

</div>

Try to Update `conda`, create a new conda environment, and rerun the install command.  
Sometimes conda and pip seem to have some problems finding the right version.

---

<div class="post-metadata">

**Author:** ![PavlosTiritiris](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/pavlostiritiris/32/20140_2.png) [@PavlosTiritiris](https://discuss.pytorch.org/u/PavlosTiritiris)\
**Post date:** [February 1, 2020, 8:53pm UTC](https://discuss.pytorch.org/t/pytorch-for-cuda-10-2/65524/9 "2020-02-01T20:53:48Z")

</div>

I did it but i found that i have older version of nvidia driver i guess.

```auto
>>> a = torch.tensor([]).cuda()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Users\pavlo\Miniconda3\envs\TorchEnv\lib\site-packages\torch\cuda\ __init__.py", line 194, in _lazy_init
    _check_driver()
  File "C:\Users\pavlo\Miniconda3\envs\TorchEnv\lib\site-packages\torch\cuda\ __init__.py", line 102, in _check_driver
    raise AssertionError("""
AssertionError:
The NVIDIA driver on your system is too old (found version 9010).
Please update your GPU driver by downloading and installing a new
version from the URL: http://www.nvidia.com/Download/index.aspx
Alternatively, go to: https://pytorch.org to install
a PyTorch version that has been compiled with your version
of the CUDA driver.

```

---

<div class="post-metadata">

**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:** [February 2, 2020, 1:10am UTC](https://discuss.pytorch.org/t/pytorch-for-cuda-10-2/65524/10 "2020-02-02T01:10:23Z")

</div>

Try to update the driver and reinstall PyTorch.

---

<div class="post-metadata">

**Author:** ![Shisho\_Sama](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/shisho_sama/32/6926_2.png) [@Shisho\_Sama](https://discuss.pytorch.org/u/Shisho_Sama)\
**Post date:** [February 2, 2020, 3:29am UTC](https://discuss.pytorch.org/t/pytorch-for-cuda-10-2/65524/11 "2020-02-02T03:29:39Z")

</div>

I have Pytorch 1.4 installed with Cuda 10.2 and cudnn 7.6.x and its working just fine! (Ubuntu 18.04)  
There should be something else that prevents you from successful execution imho!

---

<div class="post-metadata">

**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:** [February 2, 2020, 3:35am UTC](https://discuss.pytorch.org/t/pytorch-for-cuda-10-2/65524/12 "2020-02-02T03:35:50Z")

</div>

I think @PavlosTiritiris is currently trying to install the binaries with CUDA10.1, so creating a new topic might be a better idea to keep this topic clean, as it’s related to a CUDA10.2 installation.

---

<div class="post-metadata">

**Author:** ![PavlosTiritiris](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/pavlostiritiris/32/20140_2.png) [@PavlosTiritiris](https://discuss.pytorch.org/u/PavlosTiritiris)\
**Post date:** [February 5, 2020, 11:52pm UTC](https://discuss.pytorch.org/t/pytorch-for-cuda-10-2/65524/13 "2020-02-05T23:52:54Z")

</div>

It turned out that i had cuda compute capability \< 3 and pytorch doesn’t support it, so i tried with a machine with cuda capability 5 and the installation was succesfull.

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<div class="post-metadata">

**Author:** ![Lornatang](https://discuss.pytorch.org/letter_avatar_proxy/v4/letter/l/3e96dc/32.png) [@Lornatang](https://discuss.pytorch.org/u/Lornatang)\
**Post date:** [February 6, 2020, 4:33am UTC](https://discuss.pytorch.org/t/pytorch-for-cuda-10-2/65524/14 "2020-02-06T04:33:49Z")

</div>

In my opinion. CUDA10.2 works well. No exception was found from my PIP installation.

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<div class="post-metadata">

**Author:** ![Emre\_Bayram](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/emre_bayram/32/18521_2.png) [@Emre\_Bayram](https://discuss.pytorch.org/u/Emre_Bayram)\
**Post date:** [February 21, 2020, 7:19pm UTC](https://discuss.pytorch.org/t/pytorch-for-cuda-10-2/65524/15 "2020-02-21T19:19:24Z")

</div>

this saved me bunch of time also thanks!

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<div class="post-metadata">

**Author:** ![Phantomfancy](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/phantomfancy/32/21090_2.png) [@Phantomfancy](https://discuss.pytorch.org/u/Phantomfancy)\
**Post date:** [March 17, 2020, 7:29am UTC](https://discuss.pytorch.org/t/pytorch-for-cuda-10-2/65524/16 "2020-03-17T07:29:36Z")

</div>

So does this mean that installing cudatoolkit=10.1(and pytorch) for cuda version 10.2 can solve the problem?  
I met the same problem and tried the suggestion for a server with cuda 10.2:

```auto
conda install pytorch torchvision cudatoolkit=10.1

```

However when I tried moving a tensor to cuda an error occurred:

```auto
AssertionError: Torch not compiled with CUDA enabled

```

What’s wrong with that? Actually I thought for the server installed with cuda 10.2, it should be reasonable to install pytorch with cudatoolkit=10.2 rather than 10.1. So I’m also confused with the previous suggestion.  
Hope for your reply!  
PS: I have also tried installing pytorch with cudatoolkit=10.2 and got the same error as before…

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<div class="post-metadata">

**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:** [March 17, 2020, 7:37am UTC](https://discuss.pytorch.org/t/pytorch-for-cuda-10-2/65524/17 "2020-03-17T07:37:07Z")

</div>

Could you post the log from the installation, please?

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<div class="post-metadata">

**Author:** ![Phantomfancy](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/phantomfancy/32/21090_2.png) [@Phantomfancy](https://discuss.pytorch.org/u/Phantomfancy)\
**Post date:** [March 17, 2020, 7:56am UTC](https://discuss.pytorch.org/t/pytorch-for-cuda-10-2/65524/18 "2020-03-17T07:56:27Z")

</div>

Oh I changed the channel to pytorch and the problem solved!

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<div class="post-metadata">

**Author:** ![wassimseif](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/wassimseif/32/15941_2.png) [@wassimseif](https://discuss.pytorch.org/u/wassimseif)\
**Post date:** [March 25, 2020, 5:55pm UTC](https://discuss.pytorch.org/t/pytorch-for-cuda-10-2/65524/19 "2020-03-25T17:55:04Z")

</div>

Hey,

Does that mean each conda env will have it’s own cuda binaries ?

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<div class="post-metadata">

**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:** [March 26, 2020, 1:58am UTC](https://discuss.pytorch.org/t/pytorch-for-cuda-10-2/65524/20 "2020-03-26T01:58:44Z")

</div>

Each conda env should use their own set of installed libraries.  
I’m not sure, if some libs are reused from the base environment, but you can definitely install different PyTorch builds in separate environments.

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<div class="post-metadata">

**Author:** ![priyanka\_prusty](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/priyanka_prusty/32/23518_2.png) [@priyanka\_prusty](https://discuss.pytorch.org/u/priyanka_prusty)\
**Post date:** [April 29, 2020, 5:57pm UTC](https://discuss.pytorch.org/t/pytorch-for-cuda-10-2/65524/21 "2020-04-29T17:57:29Z")

</div>

Hi, I have Cuda 10.2 and I have installed pytorch with cudatoolkit=10.2. I am getting error AssertionError: Torch not compiled with CUDA enabled. I am getting same error for cudatoolkit=10.1. Could you tell me what is going wrong?

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