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| Meta Title | python - How does one use Pytorch (+ cuda) with an A100 GPU? - Stack Overflow |
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| Boilerpipe Text | I was trying to use my current code with an A100 gpu but I get this error:
---> backend=
'nccl'
/home/miranda9/miniconda3/envs/metalearningpy1
.7
.1
c10
.2
/lib/python3
.8
/site-packages/torch/cuda/__init__.py:
104
: UserWarning:
A100-SXM4-40GB
with
CUDA capability sm_80
is
not
compatible
with
the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_61 sm_70 sm_75 compute_37.
If you want to use the A100-SXM4-40GB GPU
with
PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
which is reather confusing because it points to the usual pytorch installation but doesn't tell me which combination of pytorch version + cuda version to use for my specific hardware (A100). What is the right way to install pytorch for an A100?
These are some versions I've tried:
# conda install -y pytorch==1.8.0 torchvision cudatoolkit=10.2 -c pytorch
# conda install -y pytorch torchvision cudatoolkit=10.2 -c pytorch
#conda install -y pytorch==1.7.1 torchvision torchaudio cudatoolkit=10.2 -c pytorch -c conda-forge
# conda install -y pytorch==1.6.0 torchvision cudatoolkit=10.2 -c pytorch
#conda install -y pytorch==1.7.1 torchvision torchaudio cudatoolkit=11.1 -c pytorch -c conda-forge
# conda install pytorch torchvision torchaudio cudatoolkit=11.0 -c pytorch
# conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c conda-forge
# conda install -y pytorch torchvision cudatoolkit=9.2 -c pytorch # For Nano, CC
# conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c conda-forge
note that this can be subtle because I've had this error with this machine + pytorch version in the past:
How to solve the famous `unhandled cuda error, NCCL version 2.7.8` error?
Bonus 1:
I still have errors:
ncclSystemError: System call (socket, malloc, munmap, etc) failed.
Traceback (most recent call last):
File
"/home/miranda9/diversity-for-predictive-success-of-meta-learning/div_src/diversity_src/experiment_mains/main_dist_maml_l2l.py"
, line
1423
,
in
<module>
main()
File
"/home/miranda9/diversity-for-predictive-success-of-meta-learning/div_src/diversity_src/experiment_mains/main_dist_maml_l2l.py"
, line
1365
,
in
main
train(args=args)
File
"/home/miranda9/diversity-for-predictive-success-of-meta-learning/div_src/diversity_src/experiment_mains/main_dist_maml_l2l.py"
, line
1385
,
in
train
args.opt = move_opt_to_cherry_opt_and_sync_params(args)
if
is_running_parallel(args.rank)
else
args.opt
File
"/home/miranda9/ultimate-utils/ultimate-utils-proj-src/uutils/torch_uu/distributed.py"
, line
456
,
in
move_opt_to_cherry_opt_and_sync_params
args.opt = cherry.optim.Distributed(args.model.parameters(), opt=args.opt, sync=syn)
File
"/home/miranda9/miniconda3/envs/meta_learning_a100/lib/python3.9/site-packages/cherry/optim.py"
, line
62
,
in
__init__
self.sync_parameters()
File
"/home/miranda9/miniconda3/envs/meta_learning_a100/lib/python3.9/site-packages/cherry/optim.py"
, line
78
,
in
sync_parameters
dist.broadcast(p.data, src=root)
File
"/home/miranda9/miniconda3/envs/meta_learning_a100/lib/python3.9/site-packages/torch/distributed/distributed_c10d.py"
, line
1090
,
in
broadcast
work = default_pg.broadcast([tensor], opts)
RuntimeError: NCCL error
in
: ../torch/lib/c10d/ProcessGroupNCCL.cpp:
911
, unhandled system error, NCCL version
2.7
.8
one of the answers suggested to have nvcca & pytorch.version.cuda to match but they do not:
(meta_learning_a100) [miranda9@hal-dgx ~]$ python -c
"import torch;print(torch.version.cuda)"
11.1
(meta_learning_a100) [miranda9@hal-dgx ~]$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c)
2005
-
2020
NVIDIA Corporation
Built on Wed_Jul_22_19:09:09_PDT_2020
Cuda compilation tools, release
11.0
, V11
.0
.221
Build cuda_11
.0
_bu.TC445_37
.28845127_0
How do I match them? I this the error? Can someone display their pip, conda and nvcca version to see what set up works?
More error messages:
hal-dgx:
21797
:
21797
[
0
] NCCL INFO Bootstrap : Using [
0
]enp226s0:
141.142
.153
.83
<
0
> [
1
]virbr0:
192.168
.122
.1
<
0
>
hal-dgx:
21797
:
21797
[
0
] NCCL INFO NET/Plugin : No plugin found (libnccl-net.so), using internal implementation
hal-dgx:
21797
:
21797
[
0
] NCCL INFO NET/IB : Using [
0
]mlx5_0:
1
/IB [
1
]mlx5_1:
1
/IB [
2
]mlx5_2:
1
/IB [
3
]mlx5_3:
1
/IB [
4
]mlx5_4:
1
/IB [
5
]mlx5_5:
1
/IB [
6
]mlx5_6:
1
/IB [
7
]mlx5_7:
1
/IB ; OOB enp226s0:
141.142
.153
.83
<
0
>
hal-dgx:
21797
:
21797
[
0
] NCCL INFO Using network IB
NCCL version
2.7
.8
+cuda11
.1
hal-dgx:
21805
:
21805
[
2
] NCCL INFO Bootstrap : Using [
0
]enp226s0:
141.142
.153
.83
<
0
> [
1
]virbr0:
192.168
.122
.1
<
0
>
hal-dgx:
21799
:
21799
[
1
] NCCL INFO Bootstrap : Using [
0
]enp226s0:
141.142
.153
.83
<
0
> [
1
]virbr0:
192.168
.122
.1
<
0
>
hal-dgx:
21805
:
21805
[
2
] NCCL INFO NET/Plugin : No plugin found (libnccl-net.so), using internal implementation
hal-dgx:
21799
:
21799
[
1
] NCCL INFO NET/Plugin : No plugin found (libnccl-net.so), using internal implementation
hal-dgx:
21811
:
21811
[
3
] NCCL INFO Bootstrap : Using [
0
]enp226s0:
141.142
.153
.83
<
0
> [
1
]virbr0:
192.168
.122
.1
<
0
>
hal-dgx:
21811
:
21811
[
3
] NCCL INFO NET/Plugin : No plugin found (libnccl-net.so), using internal implementation
hal-dgx:
21811
:
21811
[
3
] NCCL INFO NET/IB : Using [
0
]mlx5_0:
1
/IB [
1
]mlx5_1:
1
/IB [
2
]mlx5_2:
1
/IB [
3
]mlx5_3:
1
/IB [
4
]mlx5_4:
1
/IB [
5
]mlx5_5:
1
/IB [
6
]mlx5_6:
1
/IB [
7
]mlx5_7:
1
/IB ; OOB enp226s0:
141.142
.153
.83
<
0
>
hal-dgx:
21811
:
21811
[
3
] NCCL INFO Using network IB
hal-dgx:
21799
:
21799
[
1
] NCCL INFO NET/IB : Using [
0
]mlx5_0:
1
/IB [
1
]mlx5_1:
1
/IB [
2
]mlx5_2:
1
/IB [
3
]mlx5_3:
1
/IB [
4
]mlx5_4:
1
/IB [
5
]mlx5_5:
1
/IB [
6
]mlx5_6:
1
/IB [
7
]mlx5_7:
1
/IB ; OOB enp226s0:
141.142
.153
.83
<
0
>
hal-dgx:
21805
:
21805
[
2
] NCCL INFO NET/IB : Using [
0
]mlx5_0:
1
/IB [
1
]mlx5_1:
1
/IB [
2
]mlx5_2:
1
/IB [
3
]mlx5_3:
1
/IB [
4
]mlx5_4:
1
/IB [
5
]mlx5_5:
1
/IB [
6
]mlx5_6:
1
/IB [
7
]mlx5_7:
1
/IB ; OOB enp226s0:
141.142
.153
.83
<
0
>
hal-dgx:
21799
:
21799
[
1
] NCCL INFO Using network IB
hal-dgx:
21805
:
21805
[
2
] NCCL INFO Using network IB
hal-dgx:
21797
:
27906
[
0
] misc/ibvwrap.cc:
280
NCCL WARN Call to ibv_create_qp failed
hal-dgx:
21797
:
27906
[
0
] NCCL INFO transport/net_ib.cc:
360
->
2
hal-dgx:
21797
:
27906
[
0
] NCCL INFO transport/net_ib.cc:
437
->
2
hal-dgx:
21797
:
27906
[
0
] NCCL INFO include/net.h:
21
->
2
hal-dgx:
21797
:
27906
[
0
] NCCL INFO include/net.h:
51
->
2
hal-dgx:
21797
:
27906
[
0
] NCCL INFO init.cc:
300
->
2
hal-dgx:
21797
:
27906
[
0
] NCCL INFO init.cc:
566
->
2
hal-dgx:
21797
:
27906
[
0
] NCCL INFO init.cc:
840
->
2
hal-dgx:
21797
:
27906
[
0
] NCCL INFO group.cc:
73
->
2
[Async thread]
hal-dgx:
21811
:
27929
[
3
] misc/ibvwrap.cc:
280
NCCL WARN Call to ibv_create_qp failed
hal-dgx:
21811
:
27929
[
3
] NCCL INFO transport/net_ib.cc:
360
->
2
hal-dgx:
21811
:
27929
[
3
] NCCL INFO transport/net_ib.cc:
437
->
2
hal-dgx:
21811
:
27929
[
3
] NCCL INFO include/net.h:
21
->
2
hal-dgx:
21811
:
27929
[
3
] NCCL INFO include/net.h:
51
->
2
hal-dgx:
21811
:
27929
[
3
] NCCL INFO init.cc:
300
->
2
hal-dgx:
21811
:
27929
[
3
] NCCL INFO init.cc:
566
->
2
hal-dgx:
21811
:
27929
[
3
] NCCL INFO init.cc:
840
->
2
hal-dgx:
21811
:
27929
[
3
] NCCL INFO group.cc:
73
->
2
[Async thread]
after putting
import
os
os.environ[
"NCCL_DEBUG"
] =
"INFO" |
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# [How does one use Pytorch (+ cuda) with an A100 GPU?](https://stackoverflow.com/questions/66992585/how-does-one-use-pytorch-cuda-with-an-a100-gpu)
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4 years, 9 months ago
Modified [7 months ago](https://stackoverflow.com/questions/66992585/how-does-one-use-pytorch-cuda-with-an-a100-gpu?lastactivity "2025-06-18 09:01:10Z")
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I was trying to use my current code with an A100 gpu but I get this error:
```
Copy
```
which is reather confusing because it points to the usual pytorch installation but doesn't tell me which combination of pytorch version + cuda version to use for my specific hardware (A100). What is the right way to install pytorch for an A100?
***
These are some versions I've tried:
```
Copy
```
***
note that this can be subtle because I've had this error with this machine + pytorch version in the past:
[How to solve the famous \`unhandled cuda error, NCCL version 2.7.8\` error?](https://stackoverflow.com/questions/66807131/how-to-solve-the-famous-unhandled-cuda-error-nccl-version-2-7-8-error)
***
# Bonus 1:
I still have errors:
```
Copy
```
one of the answers suggested to have nvcca & pytorch.version.cuda to match but they do not:
```
Copy
```
How do I match them? I this the error? Can someone display their pip, conda and nvcca version to see what set up works?
More error messages:
```
Copy
```
after putting
```
Copy
```
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asked Apr 7, 2021 at 19:04
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[Charlie Parker](https://stackoverflow.com/users/1601580/charlie-parker)
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Pytorch 1.7.0 or later with CUDA 11.0 or later [should work](https://www.marktechpost.com/2020/11/01/pytorch-releases-version-1-7-with-new-features-like-cuda-11-new-apis-for-ffts-and-nvidia-a100-generation-gpus-support/). Or you could use [NGC](https://ngc.nvidia.com/)
Robert Crovella
– [Robert Crovella](https://stackoverflow.com/users/1695960/robert-crovella "154,444 reputation")
2021-04-07 19:16:23 +00:00
[Commented Apr 7, 2021 at 19:16](https://stackoverflow.com/questions/66992585/how-does-one-use-pytorch-cuda-with-an-a100-gpu#comment118418045_66992585)
- 1
@RobertCrovella if what you say it's true then the command needed is `conda install -y pytorch==1.7.1 torchvision torchaudio cudatoolkit=11.0 -c pytorch -c conda-forge` will try soon if it worked.
Charlie Parker
– [Charlie Parker](https://stackoverflow.com/users/1601580/charlie-parker "6,274 reputation")
2021-04-24 01:38:45 +00:00
[Commented Apr 24, 2021 at 1:38](https://stackoverflow.com/questions/66992585/how-does-one-use-pytorch-cuda-with-an-a100-gpu#comment118849441_66992585)
- @CharlieParker just 14 minutes for the expiration of Bounty. non of these answers helpful?
Sadra
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2022-05-19 20:40:24 +00:00
[Commented May 19, 2022 at 20:40](https://stackoverflow.com/questions/66992585/how-does-one-use-pytorch-cuda-with-an-a100-gpu#comment127748943_66992585)
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## 6 Answers 6
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From the link [pytorch site](https://pytorch.org/get-started/locally/) from @SimonB 's answer, I did:
```
Copypip3 install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html
```
This solved the problem for me.
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answered Aug 2, 2021 at 18:02
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[James Hirschorn](https://stackoverflow.com/users/1349673/james-hirschorn)
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Woma
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[Over a year ago](https://stackoverflow.com/questions/66992585/how-does-one-use-pytorch-cuda-with-an-a100-gpu#comment121805600_68626103)
For me, the conda installation did not work but the pip installation, no idea why
2021-08-25T11:32:10.157Z+00:00
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[Over a year ago](https://stackoverflow.com/questions/66992585/how-does-one-use-pytorch-cuda-with-an-a100-gpu#comment125318618_68626103)
Somehow, it does not work for now, seems that the download link not work for some reason: "returned a non-zero code: 137"
2022-01-28T01:53:45.39Z+00:00
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are you sure this is right? I have that my pytorch wants 11.1 but nvcca is 11.0 see: `(meta_learning_a100) [miranda9@hal-dgx ~]$ python -c "import torch;print(torch.version.cuda)" 11.1 (meta_learning_a100) [miranda9@hal-dgx ~]$ nvcc -V nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2020 NVIDIA Corporation Built on Wed_Jul_22_19:09:09_PDT_2020 Cuda compilation tools, release 11.0, V11.0.221 Build cuda_11.0_bu.TC445_37.28845127_0`
2022-05-12T20:43:29.293Z+00:00
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[Over a year ago](https://stackoverflow.com/questions/66992585/how-does-one-use-pytorch-cuda-with-an-a100-gpu#comment127668237_68626103)
@CharlieParker It's been too long for me to recall the context for this question. But `nvidia-smi` reveals that I have CUDA 11.4 and nvcc 10.1
2022-05-16T16:26:26.62Z+00:00
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ERROR: No matching distribution found for torch==1.9.0+cu111
2023-05-15T09:12:04.423Z+00:00
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I've got an A100 and have had success with
```
Copyconda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c nvidia
```
Which is now also recommended on the [pytorch site](https://pytorch.org/get-started/locally/)
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answered May 13, 2021 at 14:58
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Charlie Parker
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[Over a year ago](https://stackoverflow.com/questions/66992585/how-does-one-use-pytorch-cuda-with-an-a100-gpu#comment127600972_67521477)
are you sure this is right? I have that my pytorch wants 11.1 but nvcca is 11.0 see: `(meta_learning_a100) [miranda9@hal-dgx ~]$ python -c "import torch;print(torch.version.cuda)" 11.1 (meta_learning_a100) [miranda9@hal-dgx ~]$ nvcc -V nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2020 NVIDIA Corporation Built on Wed_Jul_22_19:09:09_PDT_2020 Cuda compilation tools, release 11.0, V11.0.221 Build cuda_11.0_bu.TC445_37.28845127_0`
2022-05-12T20:43:54.453Z+00:00
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To me this is what worked:
```
Copy
```
then I tested it, asked for the device and did a matrix multiply, no errors is it worked:
```
Copy
```
gpu pytorch code:
```
Copy
```
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answered Feb 1, 2022 at 19:18
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Harsh Kumar Chourasia
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[Over a year ago](https://stackoverflow.com/questions/66992585/how-does-one-use-pytorch-cuda-with-an-a100-gpu#comment129644183_70946283)
Thanks! This solution worked for me. I was trying to run pytorch inside docker. I uninstalled all the cuda libraries and pre-installed torch before running this command.
2022-08-19T05:48:05.663Z+00:00
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I had the same problem. You need to install CUDA 11.0 instead of 10.2 and reinstall PyTorch for this CUDA version.
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answered Apr 9, 2021 at 18:15
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[Over a year ago](https://stackoverflow.com/questions/66992585/how-does-one-use-pytorch-cuda-with-an-a100-gpu#comment118848956_67026338)
did you install pytorch 1.8.0 using cuda 11.0 or pytorch 1.7.x?
2021-04-24T00:40:10.057Z+00:00
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[Over a year ago](https://stackoverflow.com/questions/66992585/how-does-one-use-pytorch-cuda-with-an-a100-gpu#comment118869529_67026338)
I tried 1.8.0 and 1.7.1, both were working.
2021-04-25T06:40:29.923Z+00:00
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Charlie Parker
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[Over a year ago](https://stackoverflow.com/questions/66992585/how-does-one-use-pytorch-cuda-with-an-a100-gpu#comment127600974_67026338)
are you sure this is right? I have that my pytorch wants 11.1 but nvcca is 11.0 see: `(meta_learning_a100) [miranda9@hal-dgx ~]$ python -c "import torch;print(torch.version.cuda)" 11.1 (meta_learning_a100) [miranda9@hal-dgx ~]$ nvcc -V nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2020 NVIDIA Corporation Built on Wed_Jul_22_19:09:09_PDT_2020 Cuda compilation tools, release 11.0, V11.0.221 Build cuda_11.0_bu.TC445_37.28845127_0`
2022-05-12T20:44:09.713Z+00:00
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This solution is tested on a multi GPU **A100** environment:
create a clean conda environment: `conda create -n pya100 python=3.9`
then check your nvcc version by: `nvcc --version` \#mine return `11.3`
then install pytorch in this way: (as of now it installs Pytorch 1.11.0, torchvision 0.12.0)
```
Copyconda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch -c nvidia
```
now `python -c "import torch;print(torch.version.cuda)"` returns `11.3` (though I don't think it matters that much)
I shared my environment file [Here](https://pastebin.com/qTRzFHjZ). You can build one environment based on using this: (just replace NAMEOFENVIRONMENT with your environment name)
```
Copyconda env update --name NAMEOFENVIRONMENT --file environment.yml
```
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answered May 14, 2022 at 22:34
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[Over a year ago](https://stackoverflow.com/questions/66992585/how-does-one-use-pytorch-cuda-with-an-a100-gpu#comment127638212_72244310)
@CharlieParker I think this address your problem
2022-05-14T22:35:27.917Z+00:00
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Sadra
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[Over a year ago](https://stackoverflow.com/questions/66992585/how-does-one-use-pytorch-cuda-with-an-a100-gpu#comment127648326_72244310)
if the current solution did not work please share `apt list --installed` through pastebin so I can compare if mine and give it another try
2022-05-15T17:20:42.75Z+00:00
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Sadra
[Sadra](https://stackoverflow.com/users/1076264/sadra)
[Over a year ago](https://stackoverflow.com/questions/66992585/how-does-one-use-pytorch-cuda-with-an-a100-gpu#comment127748922_72244310)
@CharlieParker does it help?
2022-05-19T20:39:31.213Z+00:00
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Check your installed version of torch, torchvision, torchaudio etc. using
```
Copy<your virtualenv path>/bin/python -m torch.utils.collect_env
```
In my case I had this -
```
Copy
```
Since, I was not using torchvision or torchaudio, I just updated my `torch` version using the suggestion by @JamesHirschorn and selected the one according to my `torch` version from this [pytorch](https://download.pytorch.org/whl/torch_stable.html) link. e.g. in my case, the `torch` version was 1.11.0 and hence I installed `torch==1.11.0+cu113`
`pip install torch==1.11.0+cu113 -f https://download.pytorch.org/whl/torch_stable.html`
After update, the output of `<your virtualenv path>/bin/python -m torch.utils.collect_env` was
```
Copy
```
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answered May 4, 2022 at 0:21
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[Over a year ago](https://stackoverflow.com/questions/66992585/how-does-one-use-pytorch-cuda-with-an-a100-gpu#comment127424655_72106714)
for me with message: Tesla K20Xm with CUDA capability sm\_35 is not compatible with the current PyTorch installation. this works: pip install torch==1.2.0+cu92 -f [download.pytorch.org/whl/torch\_stable.html](https://download.pytorch.org/whl/torch_stable.html)
2022-05-04T18:03:05.943Z+00:00
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