Can't find package of pytorch1.8.1 and cudatoolkit 11.3

username: yanzi_shi
cooked: <p>I am trying to install torch=1.8.1 and cudatoolkit=11.3 offline, but I cannot find this package on either website of <a href="http://download.pytorch.org/whl/torch_stable.html" rel="noopener nofollow ugc">http://download.pytorch.org/whl/torch_stable.html</a> and <a href="https://download.pytorch.org/whl/torch/" rel="noopener nofollow ugc">https://download.pytorch.org/whl/torch/</a><br>
<div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/a/5/a586c6e485f1fb6ae6938f37d1acc2a2efc75811.png" data-download-href="https://discuss.pytorch.org/uploads/default/a586c6e485f1fb6ae6938f37d1acc2a2efc75811" title="image"><img src="https://discuss.pytorch.org/uploads/default/original/3X/a/5/a586c6e485f1fb6ae6938f37d1acc2a2efc75811.png" alt="image" data-base62-sha1="nCjxx2qGBJ19M31oAeb0htGh5hD" width="690" height="422" data-dominant-color="F5F6F7"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">943×578 15.1 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>

username: Tony-Y
cooked: <p>Conda packages differ from Python packages.</p>
<p><div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/c/d/cd3b0b5371db1aaab15861a297a5ed8d3be19a3d.png" data-download-href="https://discuss.pytorch.org/uploads/default/cd3b0b5371db1aaab15861a297a5ed8d3be19a3d" title="スクリーンショット 2024-11-08 13.23.51"><img src="https://discuss.pytorch.org/uploads/default/optimized/3X/c/d/cd3b0b5371db1aaab15861a297a5ed8d3be19a3d_2_690x338.png" alt="スクリーンショット 2024-11-08 13.23.51" data-base62-sha1="thynKOH6jXXdaSIeVERmqoquEmp" width="690" height="338" srcset="https://discuss.pytorch.org/uploads/default/optimized/3X/c/d/cd3b0b5371db1aaab15861a297a5ed8d3be19a3d_2_690x338.png, https://discuss.pytorch.org/uploads/default/optimized/3X/c/d/cd3b0b5371db1aaab15861a297a5ed8d3be19a3d_2_1035x507.png 1.5x, https://discuss.pytorch.org/uploads/default/optimized/3X/c/d/cd3b0b5371db1aaab15861a297a5ed8d3be19a3d_2_1380x676.png 2x" data-dominant-color="ECEDEF"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">スクリーンショット 2024-11-08 13.23.51</span><span class="informations">1882×922 88.6 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>

username: yanzi_shi
cooked: <p>yeah, I found this. So do you know if there are any ways to install pytorch=1.8.1 and cudatoolkit=11.3 offline? Thanks</p>

username: Tony-Y
cooked: <p>Try <a href="https://conda.github.io/conda-pack/" rel="noopener nofollow ugc">Conda-Pack</a>.</p>

username: yanzi_shi
cooked: <p>Thanks, but I checked that using Conda-Pack for offline installation is probably based on the fact that I have installed pytorch=1.8.1 and cudatoolkit=11.3 on other devices, but I don’t have them yet.</p>

username: Tony-Y
cooked: <p>Any way, it is hard to collect necessary Conda packages manually. So, you should first create a Conda environment having PyTorch on a machine online.</p>

username: yanzi_shi
cooked: <p>Yeah, I have tried this, but there’s something wrong as follows:<br>
<div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/3/e/3e663e7823a05c784f86751b8a59a67c04b3066e.png" data-download-href="https://discuss.pytorch.org/uploads/default/3e663e7823a05c784f86751b8a59a67c04b3066e" title="image"><img src="https://discuss.pytorch.org/uploads/default/original/3X/3/e/3e663e7823a05c784f86751b8a59a67c04b3066e.png" alt="image" data-base62-sha1="8U0EUVM1RCnhN0jgBTY7PInq2NE" width="690" height="169" data-dominant-color="232323"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">1090×267 16.6 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>

username: Tony-Y
cooked: <aside class="onebox githubissue" data-onebox-src="https://github.com/conda/conda/issues/13063">
  <header class="source">

      <a href="https://github.com/conda/conda/issues/13063" target="_blank" rel="noopener nofollow ugc">github.com/conda/conda</a>
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      <a href="https://github.com/conda/conda/issues/13063" target="_blank" rel="noopener nofollow ugc">Unable to install packages using conda</a>
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        opened <span class="discourse-local-date" data-format="ll" data-date="2023-09-05" data-time="15:40:57" data-timezone="UTC">03:40PM - 05 Sep 23 UTC</span>
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          closed <span class="discourse-local-date" data-format="ll" data-date="2023-09-07" data-time="18:56:18" data-timezone="UTC">06:56PM - 07 Sep 23 UTC</span>
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          NordinZandhuis
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  <div class="github-row">
    <p class="github-body-container">### Checklist

- [X] I added a descriptive title
- [X] I searched open report<span class="show-more-container"><a href="" rel="noopener" class="show-more">…</a></span><span class="excerpt hidden">s and couldn't find a duplicate

### What happened?

I am trying to install a number of packages, but I am unable to do so. I am getting the following error regardless of the package I am trying to install:

```
Collecting package metadata (current_repodata.json): | DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): repo.anaconda.com:443
DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): repo.anaconda.com:443
DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): repo.anaconda.com:443
DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): repo.anaconda.com:443
- DEBUG:urllib3.connectionpool:https://repo.anaconda.com:443 "GET /pkgs/r/noarch/current_repodata.json HTTP/1.1" 304 0
DEBUG:urllib3.connectionpool:https://repo.anaconda.com:443 "GET /pkgs/main/osx-arm64/current_repodata.json HTTP/1.1" 304 0
DEBUG:urllib3.connectionpool:https://repo.anaconda.com:443 "GET /pkgs/main/noarch/current_repodata.json HTTP/1.1" 304 0
\ DEBUG:urllib3.connectionpool:https://repo.anaconda.com:443 "GET /pkgs/r/osx-arm64/current_repodata.json HTTP/1.1" 304 0
done
Solving environment: unsuccessful initial attempt using frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): \ DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): repo.anaconda.com:443
DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): repo.anaconda.com:443
DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): repo.anaconda.com:443
DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): repo.anaconda.com:443
/ DEBUG:urllib3.connectionpool:https://repo.anaconda.com:443 "GET /pkgs/r/noarch/repodata.json HTTP/1.1" 304 0
DEBUG:urllib3.connectionpool:https://repo.anaconda.com:443 "GET /pkgs/r/osx-arm64/repodata.json HTTP/1.1" 304 0
- DEBUG:urllib3.connectionpool:https://repo.anaconda.com:443 "GET /pkgs/main/noarch/repodata.json HTTP/1.1" 304 0
DEBUG:urllib3.connectionpool:https://repo.anaconda.com:443 "GET /pkgs/main/osx-arm64/repodata.json HTTP/1.1" 304 0
\ WARNING conda.models.version:get_matcher(556): Using .* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 1.9.0.*, but conda is ignoring the .* and treating it as 1.9.0
WARNING conda.models.version:get_matcher(556): Using .* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 1.8.0.*, but conda is ignoring the .* and treating it as 1.8.0
done
Solving environment: unsuccessful initial attempt using frozen solve. Retrying with flexible solve.

PackagesNotFoundError: The following packages are not available from current channels:
```

### Conda Info

```shell
active environment : None
       user config file : /Users/nordin/.condarc
 populated config files : /Users/nordin/.condarc
          conda version : 23.7.2
    conda-build version : 3.26.0
         python version : 3.11.4.final.0
       virtual packages : __archspec=1=arm64
                          __osx=13.5.1=0
                          __unix=0=0
       base environment : /opt/homebrew/anaconda3  (writable)
      conda av data dir : /opt/homebrew/anaconda3/etc/conda
  conda av metadata url : None
           channel URLs : https://repo.anaconda.com/pkgs/main/osx-arm64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/osx-arm64
                          https://repo.anaconda.com/pkgs/r/noarch
                          https://conda.anaconda.org/bioconda/osx-arm64
                          https://conda.anaconda.org/bioconda/noarch
                          https://conda.anaconda.org/conda-forge/osx-arm64
                          https://conda.anaconda.org/conda-forge/noarch
          package cache : /opt/homebrew/anaconda3/pkgs
                          /Users/nordin/.conda/pkgs
       envs directories : /opt/homebrew/anaconda3/envs
                          /Users/nordin/.conda/envs
               platform : osx-arm64
             user-agent : conda/23.7.2 requests/2.31.0 CPython/3.11.4 Darwin/22.6.0 OSX/13.5.1
                UID:GID : 501:20
             netrc file : None
           offline mode : False
```


### Conda Config

```shell
==&gt; /Users/nordin/.condarc &lt;==
channel_priority: strict
channels:
  - defaults
  - bioconda
  - conda-forge

==&gt; envvars &lt;==
allow_softlinks: False

==&gt; cmd_line &lt;==
debug: False
json: False
```


### Conda list

```shell
# packages in environment at /opt/homebrew/anaconda3:
#
# Name                    Version                   Build  Channel
_anaconda_depends         2023.07                 py311_1    defaults
abseil-cpp                20211102.0           hc377ac9_0    defaults
aiobotocore               2.5.0           py311hca03da5_0    defaults
aiofiles                  22.1.0          py311hca03da5_0    defaults
aiohttp                   3.8.3           py311h80987f9_0    defaults
aioitertools              0.7.1              pyhd3eb1b0_0    defaults
aiosignal                 1.2.0              pyhd3eb1b0_0    defaults
aiosqlite                 0.18.0          py311hca03da5_0    defaults
alabaster                 0.7.12             pyhd3eb1b0_0    defaults
anaconda-catalogs         0.2.0           py311hca03da5_0    defaults
anaconda-client           1.12.0          py311hca03da5_0    defaults
anaconda-navigator        2.4.2           py311hca03da5_0    defaults
anaconda-project          0.11.1          py311hca03da5_0    defaults
anyio                     3.5.0           py311hca03da5_0    defaults
appdirs                   1.4.4              pyhd3eb1b0_0    defaults
applaunchservices         0.3.0           py311hca03da5_0    defaults
appnope                   0.1.2           py311hca03da5_1001    defaults
appscript                 1.1.2           py311h80987f9_0    defaults
argon2-cffi               21.3.0             pyhd3eb1b0_0    defaults
argon2-cffi-bindings      21.2.0          py311h80987f9_0    defaults
arrow                     1.2.3           py311hca03da5_1    defaults
arrow-cpp                 11.0.0          py311h5aa4e29_0    defaults
astroid                   2.14.2          py311hca03da5_0    defaults
astropy                   5.1             py311ha0d4635_0    defaults
asttokens                 2.0.5              pyhd3eb1b0_0    defaults
async-timeout             4.0.2           py311hca03da5_0    defaults
atomicwrites              1.4.0                      py_0    defaults
attrs                     22.1.0          py311hca03da5_0    defaults
automat                   20.2.0                     py_0    defaults
autopep8                  1.6.0              pyhd3eb1b0_1    defaults
aws-c-common              0.6.8                h80987f9_1    defaults
aws-c-event-stream        0.1.6                h313beb8_6    defaults
aws-checksums             0.1.11               h80987f9_2    defaults
aws-sdk-cpp               1.8.185              h4a942e0_0    defaults
babel                     2.11.0          py311hca03da5_0    defaults
backcall                  0.2.0              pyhd3eb1b0_0    defaults
backports                 1.1                pyhd3eb1b0_0    defaults
backports.functools_lru_cache 1.6.4              pyhd3eb1b0_0    defaults
backports.tempfile        1.0                pyhd3eb1b0_1    defaults
backports.weakref         1.0.post1                  py_1    defaults
bcrypt                    3.2.0           py311h80987f9_1    defaults
beautifulsoup4            4.12.2          py311hca03da5_0    defaults
binaryornot               0.4.4              pyhd3eb1b0_1    defaults
black                     23.3.0          py311hca03da5_0    defaults
blas                      1.0                    openblas    defaults
bleach                    4.1.0              pyhd3eb1b0_0    defaults
blosc                     1.21.3               h313beb8_0    defaults
bokeh                     3.2.1           py311hb6e6a13_0    defaults
boltons                   23.0.0          py311hca03da5_0    defaults
boost-cpp                 1.73.0              h1a28f6b_12    defaults
botocore                  1.29.76         py311hca03da5_0    defaults
bottleneck                1.3.5           py311ha0d4635_0    defaults
brotli                    1.0.9                h1a28f6b_7    defaults
brotli-bin                1.0.9                h1a28f6b_7    defaults
brotlipy                  0.7.0           py311h80987f9_1002    defaults
brunsli                   0.1                  hc377ac9_1    defaults
bzip2                     1.0.8                h620ffc9_4    defaults
c-ares                    1.19.0               h80987f9_0    defaults
c-blosc2                  2.8.0                h313beb8_0    defaults
ca-certificates           2023.05.30           hca03da5_0    defaults
cctools                   949.0.1             hc179dcd_25    defaults
cctools_osx-arm64         949.0.1             h332cad3_25    defaults
certifi                   2023.7.22       py311hca03da5_0    defaults
cffi                      1.15.1          py311h80987f9_3    defaults
cfitsio                   3.470                h7f6438f_7    defaults
chardet                   4.0.0           py311hca03da5_1003    defaults
charls                    2.2.0                hc377ac9_0    defaults
charset-normalizer        2.0.4              pyhd3eb1b0_0    defaults
click                     8.0.4           py311hca03da5_0    defaults
cloudpickle               2.2.1           py311hca03da5_0    defaults
clyent                    1.2.2           py311hca03da5_1    defaults
colorama                  0.4.6           py311hca03da5_0    defaults
colorcet                  3.0.1           py311hca03da5_0    defaults
comm                      0.1.2           py311hca03da5_0    defaults
conda                     23.7.2          py311hca03da5_0    defaults
conda-build               3.26.0          py311hca03da5_0    defaults
conda-content-trust       0.1.1              pyhd3eb1b0_0    defaults
conda-index               0.2.3           py311hca03da5_0    defaults
conda-libmamba-solver     23.5.0          py311hca03da5_0    defaults
conda-pack                0.6.0              pyhd3eb1b0_0    defaults
conda-package-handling    2.2.0           py311hca03da5_0    defaults
conda-package-streaming   0.9.0           py311hca03da5_0    defaults
conda-repo-cli            1.0.41          py311hca03da5_0    defaults
conda-token               0.4.0              pyhd3eb1b0_0    defaults
conda-verify              3.4.2                      py_1    defaults
constantly                15.1.0          py311hca03da5_0    defaults
contourpy                 1.0.5           py311h48ca7d4_0    defaults
cookiecutter              1.7.3              pyhd3eb1b0_0    defaults
cryptography              41.0.2          py311h6e31b35_0    defaults
cssselect                 1.1.0              pyhd3eb1b0_0    defaults
curl                      8.1.1                h449679c_2    defaults
cycler                    0.11.0             pyhd3eb1b0_0    defaults
cytoolz                   0.12.0          py311h80987f9_0    defaults
dask                      2023.6.0        py311hca03da5_0    defaults
dask-core                 2023.6.0        py311hca03da5_0    defaults
datasets                  2.12.0          py311hca03da5_0    defaults
datashader                0.15.1          py311hca03da5_0    defaults
datashape                 0.5.4           py311hca03da5_1    defaults
debugpy                   1.6.7           py311h313beb8_0    defaults
decorator                 5.1.1              pyhd3eb1b0_0    defaults
defusedxml                0.7.1              pyhd3eb1b0_0    defaults
diff-match-patch          20200713           pyhd3eb1b0_0    defaults
dill                      0.3.6           py311hca03da5_0    defaults
distributed               2023.6.0        py311hca03da5_0    defaults
docstring-to-markdown     0.11            py311hca03da5_0    defaults
docutils                  0.18.1          py311hca03da5_3    defaults
entrypoints               0.4             py311hca03da5_0    defaults
et_xmlfile                1.1.0           py311hca03da5_0    defaults
executing                 0.8.3              pyhd3eb1b0_0    defaults
filelock                  3.9.0           py311hca03da5_0    defaults
flake8                    6.0.0           py311hca03da5_0    defaults
flask                     2.2.2           py311hca03da5_0    defaults
fmt                       9.1.0                h48ca7d4_0    defaults
fonttools                 4.25.0             pyhd3eb1b0_0    defaults
freetype                  2.12.1               h1192e45_0    defaults
frozenlist                1.3.3           py311h80987f9_0    defaults
fsspec                    2023.4.0        py311hca03da5_0    defaults
future                    0.18.3          py311hca03da5_0    defaults
gensim                    4.3.0           py311h6956b77_0    defaults
gettext                   0.21.0               h13f89a0_1    defaults
gflags                    2.2.2                hc377ac9_0    defaults
giflib                    5.2.1                h80987f9_3    defaults
glib                      2.69.1               h514c7bf_2    defaults
glob2                     0.7                pyhd3eb1b0_0    defaults
glog                      0.5.0                hc377ac9_0    defaults
gmp                       6.2.1                hc377ac9_3    defaults
gmpy2                     2.1.2           py311h40f64dc_0    defaults
greenlet                  2.0.1           py311h313beb8_0    defaults
grpc-cpp                  1.46.1               h8e4afa7_1    defaults
gst-plugins-base          1.14.1               h313beb8_1    defaults
gstreamer                 1.14.1               h80987f9_1    defaults
h5py                      3.7.0           py311h39e7838_0    defaults
hdf5                      1.12.1               h160e8cb_2    defaults
heapdict                  1.0.1              pyhd3eb1b0_0    defaults
holoviews                 1.17.0          py311hca03da5_0    defaults
huggingface_hub           0.15.1          py311hca03da5_0    defaults
hvplot                    0.8.4           py311hca03da5_0    defaults
hyperlink                 21.0.0             pyhd3eb1b0_0    defaults
icu                       68.1                 hc377ac9_0    defaults
idna                      3.4             py311hca03da5_0    defaults
imagecodecs               2021.8.26       py311haa897ea_2    defaults
imageio                   2.31.1          py311hca03da5_0    defaults
imagesize                 1.4.1           py311hca03da5_0    defaults
imbalanced-learn          0.10.1          py311hca03da5_1    defaults
importlib-metadata        6.0.0           py311hca03da5_0    defaults
importlib_metadata        6.0.0                hd3eb1b0_0    defaults
incremental               21.3.0             pyhd3eb1b0_0    defaults
inflection                0.5.1           py311hca03da5_0    defaults
iniconfig                 1.1.1              pyhd3eb1b0_0    defaults
intake                    0.6.8           py311hca03da5_0    defaults
intervaltree              3.1.0              pyhd3eb1b0_0    defaults
ipykernel                 6.19.2          py311h37496c9_0    defaults
ipython                   8.12.0          py311hca03da5_0    defaults
ipython_genutils          0.2.0              pyhd3eb1b0_1    defaults
ipywidgets                8.0.4           py311hca03da5_0    defaults
isort                     5.9.3              pyhd3eb1b0_0    defaults
itemadapter               0.3.0              pyhd3eb1b0_0    defaults
itemloaders               1.0.4              pyhd3eb1b0_1    defaults
itsdangerous              2.0.1              pyhd3eb1b0_0    defaults
jaraco.classes            3.2.1              pyhd3eb1b0_0    defaults
jedi                      0.18.1          py311hca03da5_1    defaults
jellyfish                 0.9.0           py311h80987f9_0    defaults
jinja2                    3.1.2           py311hca03da5_0    defaults
jinja2-time               0.2.0              pyhd3eb1b0_3    defaults
jmespath                  0.10.0             pyhd3eb1b0_0    defaults
joblib                    1.2.0           py311hca03da5_0    defaults
jpeg                      9e                   h80987f9_1    defaults
jq                        1.6                  h1a28f6b_1    defaults
json5                     0.9.6              pyhd3eb1b0_0    defaults
jsonpatch                 1.32               pyhd3eb1b0_0    defaults
jsonpointer               2.1                pyhd3eb1b0_0    defaults
jsonschema                4.17.3          py311hca03da5_0    defaults
jupyter                   1.0.0           py311hca03da5_8    defaults
jupyter_client            7.4.9           py311hca03da5_0    defaults
jupyter_console           6.6.3           py311hca03da5_0    defaults
jupyter_core              5.3.0           py311hca03da5_0    defaults
jupyter_events            0.6.3           py311hca03da5_0    defaults
jupyter_server            1.23.4          py311hca03da5_0    defaults
jupyter_server_fileid     0.9.0           py311hca03da5_0    defaults
jupyter_server_ydoc       0.8.0           py311hca03da5_1    defaults
jupyter_ydoc              0.2.4           py311hca03da5_0    defaults
jupyterlab                3.6.3           py311hca03da5_0    defaults
jupyterlab_pygments       0.1.2                      py_0    defaults
jupyterlab_server         2.22.0          py311hca03da5_0    defaults
jupyterlab_widgets        3.0.5           py311hca03da5_0    defaults
jxrlib                    1.1                  h1a28f6b_2    defaults
keyring                   23.13.1         py311hca03da5_0    defaults
kiwisolver                1.4.4           py311h313beb8_0    defaults
krb5                      1.20.1               h8380606_1    defaults
lazy-object-proxy         1.6.0           py311h80987f9_0    defaults
lazy_loader               0.2             py311hca03da5_0    defaults
lcms2                     2.12                 hba8e193_0    defaults
ld64                      530                 hb29bf3f_25    defaults
ld64_osx-arm64            530                 h001ce53_25    defaults
ldid                      2.1.5                h20b2a84_3    defaults
lerc                      3.0                  hc377ac9_0    defaults
libaec                    1.0.4                hc377ac9_1    defaults
libarchive                3.6.2                h09f0540_1    defaults
libboost                  1.73.0              h49e8a49_12    defaults
libbrotlicommon           1.0.9                h1a28f6b_7    defaults
libbrotlidec              1.0.9                h1a28f6b_7    defaults
libbrotlienc              1.0.9                h1a28f6b_7    defaults
libclang                  12.0.0          default_hc321e17_4    defaults
libcurl                   8.1.1                h0f1d93c_2    defaults
libcxx                    14.0.6               h848a8c0_0    defaults
libdeflate                1.17                 h80987f9_0    defaults
libedit                   3.1.20221030         h80987f9_0    defaults
libev                     4.33                 h1a28f6b_1    defaults
libevent                  2.1.12               hf27765b_0    defaults
libffi                    3.4.4                hca03da5_0    defaults
libgfortran               5.0.0           11_3_0_hca03da5_28    defaults
libgfortran5              11.3.0              h009349e_28    defaults
libiconv                  1.16                 h1a28f6b_2    defaults
liblief                   0.12.3               h313beb8_0    defaults
libllvm12                 12.0.0               h12f7ac0_4    defaults
libllvm14                 14.0.6               h7ec7a93_3    defaults
libmamba                  1.4.1                h48ca7d4_0    defaults
libmambapy                1.4.1           py311h48ca7d4_0    defaults
libnghttp2                1.52.0               h10c0552_1    defaults
libopenblas               0.3.21               h269037a_0    defaults
libpng                    1.6.39               h80987f9_0    defaults
libpq                     12.15                h449679c_1    defaults
libprotobuf               3.20.3               h514c7bf_0    defaults
libsodium                 1.0.18               h1a28f6b_0    defaults
libsolv                   0.7.22               h98b2900_0    defaults
libspatialindex           1.9.3                hc377ac9_0    defaults
libssh2                   1.10.0               h449679c_2    defaults
libthrift                 0.13.0               hd358383_6    defaults
libtiff                   4.5.0                h313beb8_2    defaults
libuv                     1.44.2               h80987f9_0    defaults
libwebp                   1.2.4                ha3663a8_1    defaults
libwebp-base              1.2.4                h80987f9_1    defaults
libxml2                   2.10.3               h372ba2a_0    defaults
libxslt                   1.1.37               habca612_0    defaults
libzopfli                 1.0.3                hc377ac9_0    defaults
linkify-it-py             2.0.0           py311hca03da5_0    defaults
llvm-openmp               14.0.6               hc6e5704_0    defaults
llvmlite                  0.40.0          py311h514c7bf_0    defaults
locket                    1.0.0           py311hca03da5_0    defaults
lxml                      4.9.2           py311h80987f9_0    defaults
lz4                       4.3.2           py311h80987f9_0    defaults
lz4-c                     1.9.4                h313beb8_0    defaults
lzo                       2.10                 h1a28f6b_2    defaults
markdown                  3.4.1           py311hca03da5_0    defaults
markdown-it-py            2.2.0           py311hca03da5_1    defaults
markupsafe                2.1.1           py311h80987f9_0    defaults
matplotlib                3.7.1           py311hca03da5_1    defaults
matplotlib-base           3.7.1           py311h7aedaa7_1    defaults
matplotlib-inline         0.1.6           py311hca03da5_0    defaults
mccabe                    0.7.0              pyhd3eb1b0_0    defaults
mdit-py-plugins           0.3.0           py311hca03da5_0    defaults
mdurl                     0.1.0           py311hca03da5_0    defaults
mistune                   0.8.4           py311h80987f9_1000    defaults
more-itertools            8.12.0             pyhd3eb1b0_0    defaults
mpc                       1.1.0                h8c48613_1    defaults
mpfr                      4.0.2                h695f6f0_1    defaults
mpmath                    1.3.0           py311hca03da5_0    defaults
msgpack-python            1.0.3           py311h48ca7d4_0    defaults
multidict                 6.0.2           py311h80987f9_0    defaults
multipledispatch          0.6.0           py311hca03da5_0    defaults
multiprocess              0.70.14         py311hca03da5_0    defaults
munkres                   1.1.4                      py_0    defaults
mypy_extensions           0.4.3           py311hca03da5_1    defaults
navigator-updater         0.4.0           py311hca03da5_0    defaults
nbclassic                 0.5.5           py311hca03da5_0    defaults
nbclient                  0.5.13          py311hca03da5_0    defaults
nbconvert                 6.5.4           py311hca03da5_0    defaults
nbformat                  5.7.0           py311hca03da5_0    defaults
ncurses                   6.4                  h313beb8_0    defaults
nest-asyncio              1.5.6           py311hca03da5_0    defaults
networkx                  3.1             py311hca03da5_0    defaults
ninja                     1.10.2               hca03da5_5    defaults
ninja-base                1.10.2               h525c30c_5    defaults
nltk                      3.8.1           py311hca03da5_0    defaults
notebook                  6.5.4           py311hca03da5_1    defaults
notebook-shim             0.2.2           py311hca03da5_0    defaults
nspr                      4.35                 h313beb8_0    defaults
nss                       3.89.1               h313beb8_0    defaults
numba                     0.57.0          py311h7aedaa7_0    defaults
numexpr                   2.8.4           py311h6dc990b_1    defaults
numpy                     1.24.3          py311hb57d4eb_0    defaults
numpy-base                1.24.3          py311h1d85a46_0    defaults
numpydoc                  1.5.0           py311hca03da5_0    defaults
oniguruma                 6.9.7.1              h1a28f6b_0    defaults
openjpeg                  2.3.0                h7a6adac_2    defaults
openpyxl                  3.0.10          py311h80987f9_0    defaults
openssl                   1.1.1u               h1a28f6b_0    defaults
orc                       1.7.4                hdca1487_1    defaults
packaging                 23.0            py311hca03da5_0    defaults
pandas                    1.5.3           py311h6956b77_0    defaults
pandocfilters             1.5.0              pyhd3eb1b0_0    defaults
panel                     1.2.1           py311hca03da5_0    defaults
param                     1.13.0          py311hca03da5_0    defaults
parsel                    1.6.0           py311hca03da5_0    defaults
parso                     0.8.3              pyhd3eb1b0_0    defaults
partd                     1.2.0              pyhd3eb1b0_1    defaults
patch                     2.7.6             h1a28f6b_1001    defaults
pathlib                   1.0.1              pyhd3eb1b0_1    defaults
pathspec                  0.10.3          py311hca03da5_0    defaults
patsy                     0.5.3           py311hca03da5_0    defaults
pcre                      8.45                 hc377ac9_0    defaults
pcre2                     10.37                h37e8eca_1    defaults
pep8                      1.7.1           py311hca03da5_1    defaults
pexpect                   4.8.0              pyhd3eb1b0_3    defaults
pickleshare               0.7.5           pyhd3eb1b0_1003    defaults
pillow                    9.4.0           py311h313beb8_0    defaults
pip                       23.2.1          py311hca03da5_0    defaults
pkginfo                   1.9.6           py311hca03da5_0    defaults
platformdirs              2.5.2           py311hca03da5_0    defaults
plotly                    5.9.0           py311hca03da5_0    defaults
pluggy                    1.0.0           py311hca03da5_1    defaults
ply                       3.11            py311hca03da5_0    defaults
pooch                     1.4.0              pyhd3eb1b0_0    defaults
poyo                      0.5.0              pyhd3eb1b0_0    defaults
prometheus_client         0.14.1          py311hca03da5_0    defaults
prompt-toolkit            3.0.36          py311hca03da5_0    defaults
prompt_toolkit            3.0.36               hd3eb1b0_0    defaults
protego                   0.1.16                     py_0    defaults
psutil                    5.9.0           py311h80987f9_0    defaults
ptyprocess                0.7.0              pyhd3eb1b0_2    defaults
pure_eval                 0.2.2              pyhd3eb1b0_0    defaults
py-cpuinfo                8.0.0              pyhd3eb1b0_1    defaults
py-lief                   0.12.3          py311h313beb8_0    defaults
pyarrow                   11.0.0          py311h7575258_0    defaults
pyasn1                    0.4.8              pyhd3eb1b0_0    defaults
pyasn1-modules            0.2.8                      py_0    defaults
pybind11-abi              4                    hd3eb1b0_1    defaults
pycodestyle               2.10.0          py311hca03da5_0    defaults
pycosat                   0.6.4           py311h80987f9_0    defaults
pycparser                 2.21               pyhd3eb1b0_0    defaults
pyct                      0.5.0           py311hca03da5_0    defaults
pycurl                    7.45.2          py311h449679c_0    defaults
pydispatcher              2.0.5           py311hca03da5_2    defaults
pydocstyle                6.3.0           py311hca03da5_0    defaults
pyerfa                    2.0.0           py311h80987f9_0    defaults
pyflakes                  3.0.1           py311hca03da5_0    defaults
pygments                  2.15.1          py311hca03da5_1    defaults
pyjwt                     2.4.0           py311hca03da5_0    defaults
pylint                    2.16.2          py311hca03da5_0    defaults
pylint-venv               2.3.0           py311hca03da5_0    defaults
pyls-spyder               0.4.0              pyhd3eb1b0_0    defaults
pyobjc-core               9.0             py311h3eb5a62_1    defaults
pyobjc-framework-cocoa    9.0             py311hb094c41_0    defaults
pyobjc-framework-coreservices 9.0             py311hdd8dd1f_0    defaults
pyobjc-framework-fsevents 9.0             py311hca03da5_0    defaults
pyodbc                    4.0.34          py311h313beb8_0    defaults
pyopenssl                 23.2.0          py311hca03da5_0    defaults
pyparsing                 3.0.9           py311hca03da5_0    defaults
pyqt                      5.15.7          py311h313beb8_0    defaults
pyqt5-sip                 12.11.0         py311h313beb8_0    defaults
pyqtwebengine             5.15.7          py311h313beb8_0    defaults
pyrsistent                0.18.0          py311h80987f9_0    defaults
pysocks                   1.7.1           py311hca03da5_0    defaults
pytables                  3.8.0           py311he239255_2    defaults
pytest                    7.4.0           py311hca03da5_0    defaults
python                    3.11.4               hc0d8a6c_0    defaults
python-dateutil           2.8.2              pyhd3eb1b0_0    defaults
python-fastjsonschema     2.16.2          py311hca03da5_0    defaults
python-json-logger        2.0.7           py311hca03da5_0    defaults
python-libarchive-c       2.9                pyhd3eb1b0_1    defaults
python-lmdb               1.4.1           py311h313beb8_0    defaults
python-lsp-black          1.2.1           py311hca03da5_0    defaults
python-lsp-jsonrpc        1.0.0              pyhd3eb1b0_0    defaults
python-lsp-server         1.7.2           py311hca03da5_0    defaults
python-slugify            5.0.2              pyhd3eb1b0_0    defaults
python-snappy             0.6.1           py311h313beb8_0    defaults
python-xxhash             2.0.2           py311h80987f9_1    defaults
python.app                3               py311h80987f9_0    defaults
pytoolconfig              1.2.5           py311hca03da5_1    defaults
pytorch                   2.0.1           gpu_mps_py311h0436fea_0    defaults
pytz                      2022.7          py311hca03da5_0    defaults
pyviz_comms               2.3.0           py311hca03da5_0    defaults
pywavelets                1.4.1           py311h80987f9_0    defaults
pyyaml                    6.0             py311h80987f9_1    defaults
pyzmq                     23.2.0          py311h313beb8_0    defaults
qdarkstyle                3.0.2              pyhd3eb1b0_0    defaults
qstylizer                 0.2.2           py311hca03da5_0    defaults
qt-main                   5.15.2               ha2d02b5_7    defaults
qt-webengine              5.15.9               h2903aaf_4    defaults
qtawesome                 1.2.2           py311hca03da5_0    defaults
qtconsole                 5.4.2           py311hca03da5_0    defaults
qtpy                      2.2.0           py311hca03da5_0    defaults
qtwebkit                  5.212                h19f419d_5    defaults
queuelib                  1.5.0           py311hca03da5_0    defaults
re2                       2022.04.01           hc377ac9_0    defaults
readline                  8.2                  h1a28f6b_0    defaults
regex                     2022.7.9        py311h80987f9_0    defaults
reproc                    14.2.4               hc377ac9_1    defaults
reproc-cpp                14.2.4               hc377ac9_1    defaults
requests                  2.31.0          py311hca03da5_0    defaults
requests-file             1.5.1              pyhd3eb1b0_0    defaults
requests-toolbelt         1.0.0           py311hca03da5_0    defaults
responses                 0.13.3             pyhd3eb1b0_0    defaults
rfc3339-validator         0.1.4           py311hca03da5_0    defaults
rfc3986-validator         0.1.1           py311hca03da5_0    defaults
rope                      1.7.0           py311hca03da5_0    defaults
rtree                     1.0.1           py311hca03da5_0    defaults
ruamel.yaml               0.17.21         py311h80987f9_0    defaults
ruamel_yaml               0.17.21         py311h80987f9_0    defaults
s3fs                      2023.4.0        py311hca03da5_0    defaults
sacremoses                0.0.43             pyhd3eb1b0_0    defaults
scikit-image              0.20.0          py311h313beb8_0    defaults
scikit-learn              1.3.0           py311h7aedaa7_0    defaults
scipy                     1.10.1          py311hc76d9b0_1    defaults
scrapy                    2.8.0           py311hca03da5_0    defaults
seaborn                   0.12.2          py311hca03da5_0    defaults
send2trash                1.8.0              pyhd3eb1b0_1    defaults
service_identity          18.1.0             pyhd3eb1b0_1    defaults
setuptools                68.0.0          py311hca03da5_0    defaults
sip                       6.6.2           py311h313beb8_0    defaults
six                       1.16.0             pyhd3eb1b0_1    defaults
sleef                     3.5.1                h80987f9_2    defaults
smart_open                5.2.1           py311hca03da5_0    defaults
snappy                    1.1.9                hc377ac9_0    defaults
sniffio                   1.2.0           py311hca03da5_1    defaults
snowballstemmer           2.2.0              pyhd3eb1b0_0    defaults
sortedcontainers          2.4.0              pyhd3eb1b0_0    defaults
soupsieve                 2.4             py311hca03da5_0    defaults
sphinx                    5.0.2           py311hca03da5_0    defaults
sphinxcontrib-applehelp   1.0.2              pyhd3eb1b0_0    defaults
sphinxcontrib-devhelp     1.0.2              pyhd3eb1b0_0    defaults
sphinxcontrib-htmlhelp    2.0.0              pyhd3eb1b0_0    defaults
sphinxcontrib-jsmath      1.0.1              pyhd3eb1b0_0    defaults
sphinxcontrib-qthelp      1.0.3              pyhd3eb1b0_0    defaults
sphinxcontrib-serializinghtml 1.1.5              pyhd3eb1b0_0    defaults
spyder                    5.4.3           py311hca03da5_1    defaults
spyder-kernels            2.4.3           py311hca03da5_0    defaults
sqlalchemy                1.4.39          py311h80987f9_0    defaults
sqlite                    3.41.2               h80987f9_0    defaults
stack_data                0.2.0              pyhd3eb1b0_0    defaults
statsmodels               0.14.0          py311hb9f6ed7_0    defaults
sympy                     1.11.1          py311hca03da5_0    defaults
tabulate                  0.8.10          py311hca03da5_0    defaults
tapi                      1100.0.11            h8754e6a_1    defaults
tbb                       2021.8.0             h48ca7d4_0    defaults
tbb4py                    2021.8.0        py311h48ca7d4_0    defaults
tblib                     1.7.0              pyhd3eb1b0_0    defaults
tenacity                  8.2.2           py311hca03da5_0    defaults
terminado                 0.17.1          py311hca03da5_0    defaults
text-unidecode            1.3                pyhd3eb1b0_0    defaults
textdistance              4.2.1              pyhd3eb1b0_0    defaults
threadpoolctl             2.2.0              pyh0d69192_0    defaults
three-merge               0.1.1              pyhd3eb1b0_0    defaults
tifffile                  2021.7.2           pyhd3eb1b0_2    defaults
tinycss2                  1.2.1           py311hca03da5_0    defaults
tk                        8.6.12               hb8d0fd4_0    defaults
tldextract                3.2.0              pyhd3eb1b0_0    defaults
tokenizers                0.13.2          py311h3dd52b7_1    defaults
toml                      0.10.2             pyhd3eb1b0_0    defaults
tomlkit                   0.11.1          py311hca03da5_0    defaults
toolz                     0.12.0          py311hca03da5_0    defaults
tornado                   6.3.2           py311h80987f9_0    defaults
tqdm                      4.65.0          py311hb6e6a13_0    defaults
traitlets                 5.7.1           py311hca03da5_0    defaults
transformers              4.29.2          py311hca03da5_0    defaults
twisted                   22.10.0         py311h80987f9_0    defaults
typing-extensions         4.7.1           py311hca03da5_0    defaults
typing_extensions         4.7.1           py311hca03da5_0    defaults
tzdata                    2023c                h04d1e81_0    defaults
uc-micro-py               1.0.1           py311hca03da5_0    defaults
ujson                     5.4.0           py311h313beb8_0    defaults
unidecode                 1.2.0              pyhd3eb1b0_0    defaults
unixodbc                  2.3.11               h1a28f6b_0    defaults
urllib3                   1.26.16         py311hca03da5_0    defaults
utf8proc                  2.6.1                h1a28f6b_0    defaults
w3lib                     1.21.0             pyhd3eb1b0_0    defaults
watchdog                  2.1.6           py311h80987f9_0    defaults
wcwidth                   0.2.5              pyhd3eb1b0_0    defaults
webencodings              0.5.1           py311hca03da5_1    defaults
websocket-client          0.58.0          py311hca03da5_4    defaults
werkzeug                  2.2.3           py311hca03da5_0    defaults
whatthepatch              1.0.2           py311hca03da5_0    defaults
wheel                     0.38.4          py311hca03da5_0    defaults
widgetsnbextension        4.0.5           py311hca03da5_0    defaults
wrapt                     1.14.1          py311h80987f9_0    defaults
wurlitzer                 3.0.2           py311hca03da5_0    defaults
xarray                    2023.6.0        py311hca03da5_0    defaults
xlwings                   0.29.1          py311hca03da5_0    defaults
xxhash                    0.8.0                h1a28f6b_3    defaults
xyzservices               2022.9.0        py311hca03da5_1    defaults
xz                        5.4.2                h80987f9_0    defaults
y-py                      0.5.9           py311ha6e5c4f_0    defaults
yaml                      0.2.5                h1a28f6b_0    defaults
yaml-cpp                  0.7.0                hc377ac9_1    defaults
yapf                      0.31.0             pyhd3eb1b0_0    defaults
yarl                      1.8.1           py311h80987f9_0    defaults
ypy-websocket             0.8.2           py311hca03da5_0    defaults
zeromq                    4.3.4                hc377ac9_0    defaults
zfp                       0.5.5                hc377ac9_6    defaults
zict                      2.2.0           py311hca03da5_0    defaults
zipp                      3.11.0          py311hca03da5_0    defaults
zlib                      1.2.13               h5a0b063_0    defaults
zlib-ng                   2.0.7                h80987f9_0    defaults
zope                      1.0             py311hca03da5_1    defaults
zope.interface            5.4.0           py311h80987f9_0    defaults
zstandard                 0.19.0          py311h80987f9_0    defaults
zstd                      1.5.5                hd90d995_0    defaults
```


### Additional Context

_No response_</span></p>
  </div>

  </article>

  <div class="onebox-metadata">
    
    
  </div>

  <div style="clear: both"></div>
</aside>

<pre><code class="lang-auto">conda install -n base conda=23.7.3 conda-build=3.26.1
</code></pre>
<p>It might solve your issue.</p>

username: yanzi_shi
cooked: <p>Thanks. I just upgraded Conda, and it seems to work now.</p>
<p>conda update conda</p>

username: yanzi_shi
cooked: <p>PyTorch installed using the following command seems to be an version of CPU rather than GPU, do you have any ideas on this</p>
<pre><code class="lang-auto">conda install pytorch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1 cudatoolkit=11.3 -c pytorch -c conda-forge
</code></pre>
<p><img src="https://discuss.pytorch.org/uploads/default/original/3X/c/4/c49d7b701d0b4bd6a1227a3b3cac9c044eb273a7.png" alt="image" data-base62-sha1="s3kZgIPS5zLO7iqOpKKMvoMrpqf" width="607" height="77"></p>

username: Tony-Y
cooked: <p>I could not find a GPU package for PyTorch 1.8.1 and 1.9.1 by using conda:</p>
<pre><code class="lang-auto">$ conda create -n pytorch-1.8.1 python==3.7 pytorch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1 cudatoolkit=11.3 -c pytorch -c conda-forge
    pytorch-1.8.1              |      py3.7_cpu_0        65.9 MB  pytorch
    pytorch-cpu-1.1.0          |      py3.7_cpu_0        53.6 MB  pytorch
</code></pre>
<pre><code class="lang-auto">$ conda create -n pytorch-1.9.1 python==3.7 pytorch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1 cudatoolkit=11.3 -c pytorch -c conda-forge
    pytorch-1.9.1              |      py3.7_cpu_0        73.0 MB  pytorch
    pytorch-cpu-1.1.0          |      py3.7_cpu_0        53.6 MB  pytorch
</code></pre>
<pre><code class="lang-auto">$ conda create -n pytorch-1.10.1 python==3.7 pytorch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1 cudatoolkit=11.3 -c pytorch -c conda-forge
    cudatoolkit-11.3.1         |      hb98b00a_13       603.5 MB  conda-forge
    pytorch-1.10.1             |py3.7_cuda11.3_cudnn8.2.0_0        1.21 GB  pytorch
</code></pre>
<pre><code class="lang-auto">$ conda create -n pytorch-1.11.0 python==3.7 pytorch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0 cudatoolkit=11.3 -c pytorch
    cudatoolkit-11.3.1         |       ha36c431_9       815.2 MB  nvidia
    pytorch-1.11.0             |py3.7_cuda11.3_cudnn8.2.0_0        1.02 GB  pytorch
</code></pre>
<pre><code class="lang-auto">$ conda create -n pytorch-1.12.1 python==3.7 pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.3 -c pytorch
    cudatoolkit-11.3.1         |       ha36c431_9       815.2 MB  nvidia
    pytorch-1.12.1             |py3.7_cuda11.3_cudnn8.3.2_0        1.19 GB  pytorch
</code></pre>

username: Tony-Y
cooked: <p><a class="mention" href="/u/ptrblck">@ptrblck</a> Some Conda packages are no longer available at <code>conda-forge</code>.</p>
<p>For example,</p><aside class="onebox allowlistedgeneric" data-onebox-src="https://pytorch.org/get-started/previous-versions/#v181">
  <header class="source">
      <img src="https://pytorch.org/favicon.ico?" class="site-icon" width="32" height="32">

      <a href="https://pytorch.org/get-started/previous-versions/#v181" target="_blank" rel="noopener nofollow ugc">PyTorch</a>
  </header>

  <article class="onebox-body">
    <div class="aspect-image" style="--aspect-ratio:690/362;"><img src="https://pytorch.org/assets/images/social-share.jpg" class="thumbnail" width="690" height="362"></div>

<h3><a href="https://pytorch.org/get-started/previous-versions/#v181" target="_blank" rel="noopener nofollow ugc">Previous PyTorch Versions</a></h3>

  <p>Installing previous versions of PyTorch</p>


  </article>

  <div class="onebox-metadata">
    
    
  </div>

  <div style="clear: both"></div>
</aside>

<pre><code class="lang-auto"># CUDA 11.3
conda install pytorch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1 cudatoolkit=11.3 -c pytorch -c conda-forge
</code></pre>
<p>Do you know people that can edit these installation recipes of the PyTorch website?</p>

username: ptrblck
cooked: <p>Which package is missing from <code>conda-forge</code>?</p>

username: Tony-Y
cooked: <p>All packages of 1.8.1 are missing:<br>
<div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/c/8/c86d87f527633859df04f2fb146ac25dd809d2ac.png" data-download-href="https://discuss.pytorch.org/uploads/default/c86d87f527633859df04f2fb146ac25dd809d2ac" title="スクリーンショット 2024-11-08 23.31.59"><img src="https://discuss.pytorch.org/uploads/default/optimized/3X/c/8/c86d87f527633859df04f2fb146ac25dd809d2ac_2_400x500.png" alt="スクリーンショット 2024-11-08 23.31.59" data-base62-sha1="sB4a7WkbSSAAS49tkW97rjjMdVq" width="400" height="500" srcset="https://discuss.pytorch.org/uploads/default/optimized/3X/c/8/c86d87f527633859df04f2fb146ac25dd809d2ac_2_400x500.png, https://discuss.pytorch.org/uploads/default/optimized/3X/c/8/c86d87f527633859df04f2fb146ac25dd809d2ac_2_600x750.png 1.5x, https://discuss.pytorch.org/uploads/default/optimized/3X/c/8/c86d87f527633859df04f2fb146ac25dd809d2ac_2_800x1000.png 2x" data-dominant-color="DFE4E3"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">スクリーンショット 2024-11-08 23.31.59</span><span class="informations">1278×1594 342 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>
<p><a href="https://anaconda.org/conda-forge/pytorch/files" class="onebox" target="_blank" rel="noopener nofollow ugc">https://anaconda.org/conda-forge/pytorch/files</a></p>

username: ptrblck
cooked: <p>We don’t maintain the <code>conda-forge</code> PyTorch binary so you might want to reach out to <code>conda-forge</code> directly. The <code>-c conda-forge</code> usage was most likely downloading a dependency which was missing in the main channel at this time, but I don’t know which one it was.</p>

username: Tony-Y
cooked: <p>Why has the installation guide of the PyTorch website been not updated?<br>
There have already been similar reports on this forum:</p><aside class="quote quote-modified" data-post="1" data-topic="157916">
  <div class="title">
    <div class="quote-controls"></div>
    <img loading="lazy" alt="" width="24" height="24" src="https://discuss.pytorch.org/letter_avatar_proxy/v4/letter/h/ee59a6/48.png" class="avatar">
    <a href="https://discuss.pytorch.org/t/install-pytorch-1-9-0-with-unexpected-problem/157916/1">Install pytorch 1.9.0 with unexpected problem</a> 
  </div>
  <blockquote>
    I follow the official guide to install pytorch 1.9.0 + cuda11.3 
conda install pytorch==1.9.0 torchvision==0.10.0 torchaudio==0.9.0 cudatoolkit=11.3 -c pytorch -c conda-forge 
after installment  finished, it seems cpu version is installed,not GPU 
(py190) hitbuyi@hitbuyi-Dell-G15-5511:~/tmp/$ conda list 
packages in environment at /home/hitbuyi/.conda/envs/py190: 
Name                    Version                   Build  Channel 
cpuonly                   1.0                           0    pytorc…
  </blockquote>
</aside>
<aside class="quote" data-post="1" data-topic="160771">
  <div class="title">
    <div class="quote-controls"></div>
    <img loading="lazy" alt="" width="24" height="24" src="https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/dee2/48/52988_2.png" class="avatar">
    <a href="https://discuss.pytorch.org/t/pytorch-v1-9-0-is-not-compatible-with-cuda-11-3/160771">PyTorch v1.9.0 is not compatible with CUDA 11.3?</a> <a class="badge-category__wrapper " href="/c/windows/26"><span data-category-id="26" style="--category-badge-color: #3AB54A; --category-badge-text-color: #FFFFFF;" data-drop-close="true" class="badge-category " title="This category is focused on PyTorch on Windows related issues."><span class="badge-category__name">windows</span></span></a>
  </div>
  <blockquote>
    Hi, 
I have followed the installation instructions from the website: <a href="https://pytorch.org/get-started/previous-versions/" rel="noopener nofollow ugc">https://pytorch.org/get-started/previous-versions/</a> to install PyTorch v1.9.0 with CUDAtoolkit of v11.3.0 on Windows11. However, when running the code, it always shown that ‘Torch is not compatible with CUDA enabled’. I have already installed CUDA v11.3 on Windows11 as well. My device is: Nvidia RTX 3090Ti, Windows11 OS. 
Can I know if PyTorch v1.9.0 is compatible with CUDA 11.3? How can I solve this issue? 
Thank you!
  </blockquote>
</aside>
<aside class="quote" data-post="1" data-topic="180462">
  <div class="title">
    <div class="quote-controls"></div>
    <img loading="lazy" alt="" width="24" height="24" src="https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ampw/48/60044_2.png" class="avatar">
    <a href="https://discuss.pytorch.org/t/unable-to-get-cuda-11-3-with-torch-1-9-0-working/180462">Unable to get cuda 11.3 with torch 1.9.0 working</a> <a class="badge-category__wrapper " href="/c/windows/26"><span data-category-id="26" style="--category-badge-color: #3AB54A; --category-badge-text-color: #FFFFFF;" data-drop-close="true" class="badge-category " title="This category is focused on PyTorch on Windows related issues."><span class="badge-category__name">windows</span></span></a>
  </div>
  <blockquote>
    I need pytorch 1.9.0 and I also want to use my 3080 ti. I’m using anaconda in a new eniviroment, I installed the cuda toolkit, installed cuda 11.3 (didn’t changed the nvidia driver with cuda 12.1), tried serveral versions of pytorch 1.9.0 but I always get cuda version none if I run “torch.version.cuda”. Any idea how to get it solved? Thx for any help, have a nice day.
  </blockquote>
</aside>
<aside class="quote" data-post="1" data-topic="203480">
  <div class="title">
    <div class="quote-controls"></div>
    <img loading="lazy" alt="" width="24" height="24" src="https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/skeptic9793/48/70303_2.png" class="avatar">
    <a href="https://discuss.pytorch.org/t/pytorch-install-with-conda/203480">Pytorch install with conda</a> 
  </div>
  <blockquote>
    When I use conda install pytorch=1.9.1 torch vision=0.10.1 torch studio=0.9.1 cudatoolkit=11.3-c pytorch - c conda forge to install the GPU version of pytorch, I can only get one CPU version. Can someone tell me the reason
  </blockquote>
</aside>


username: ptrblck
cooked: <aside class="quote no-group" data-username="Tony-Y" data-post="16" data-topic="212679">
<div class="title">
<div class="quote-controls"></div>
<img loading="lazy" alt="" width="24" height="24" src="https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/tony-y/48/8373_2.png" class="avatar"> Tony-Y:</div>
<blockquote>
<p>Why has the installation guide of the PyTorch website been not updated?</p>
</blockquote>
</aside>
<p>Contributions are always welcome if you have suggestions how to improve the docs or installation guide.<br>
The majority of the users won’t try to install binaries which were released over 3.5 years ago.<br>
In case you are interested in using these and see any dependency issue or installation error, feel free to suggest a fix in a PR or create an issue.</p>

username: Tony-Y
cooked: <p>The installation guide should be revised as follows:</p>
<pre><code class="lang-auto"># CUDA 11.1
conda install pytorch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1 cudatoolkit=11.1 -c pytorch -c conda-forge
</code></pre>
<p>because there are Conda packages for CUDA 11.1 instead of CUDA 11.3.</p>
<pre><code class="lang-auto"># Name         Version           Build              Channel             
pytorch          1.8.1     py3.6_cpu_0              pytorch             
pytorch          1.8.1 py3.6_cuda10.1_cudnn7.6.3_0  pytorch             
pytorch          1.8.1 py3.6_cuda10.2_cudnn7.6.5_0  pytorch             
pytorch          1.8.1 py3.6_cuda11.1_cudnn8.0.5_0  pytorch             
pytorch          1.8.1     py3.7_cpu_0              pytorch             
pytorch          1.8.1 py3.7_cuda10.1_cudnn7.6.3_0  pytorch             
pytorch          1.8.1 py3.7_cuda10.2_cudnn7.6.5_0  pytorch             
pytorch          1.8.1 py3.7_cuda11.1_cudnn8.0.5_0  pytorch             
pytorch          1.8.1     py3.8_cpu_0              pytorch             
pytorch          1.8.1 py3.8_cuda10.1_cudnn7.6.3_0  pytorch             
pytorch          1.8.1 py3.8_cuda10.2_cudnn7.6.5_0  pytorch             
pytorch          1.8.1 py3.8_cuda11.1_cudnn8.0.5_0  pytorch             
pytorch          1.8.1     py3.9_cpu_0              pytorch             
pytorch          1.8.1 py3.9_cuda10.1_cudnn7.6.3_0  pytorch             
pytorch          1.8.1 py3.9_cuda10.2_cudnn7.6.5_0  pytorch             
pytorch          1.8.1 py3.9_cuda11.1_cudnn8.0.5_0  pytorch 
</code></pre>
<p>I might create a GitHub issue when I have time.</p>

username: Tony-Y
cooked: <p>I found an issue for pytorch 1.8.1 and 1.9.1:</p>
<aside class="onebox githubissue" data-onebox-src="https://github.com/pytorch/pytorch.github.io/issues/925">
  <header class="source">

      <a href="https://github.com/pytorch/pytorch.github.io/issues/925" target="_blank" rel="noopener nofollow ugc">github.com/pytorch/pytorch.github.io</a>
  </header>

  <article class="onebox-body">
    <div class="github-row">
  <div class="github-icon-container" title="Issue" data-github-private-repo="false">
	  <svg width="60" height="60" class="github-icon" viewBox="0 0 14 16" aria-hidden="true"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg>
  </div>

  <div class="github-info-container">
    <h4>
      <a href="https://github.com/pytorch/pytorch.github.io/issues/925" target="_blank" rel="noopener nofollow ugc">Incorrect install command for torch 1.8.1 using conda</a>
    </h4>

    <div class="github-info">
      <div class="date">
        opened <span class="discourse-local-date" data-format="ll" data-date="2022-02-04" data-time="20:28:43" data-timezone="UTC">08:28PM - 04 Feb 22 UTC</span>
      </div>


      <div class="user">
        <a href="https://github.com/zookae" target="_blank" rel="noopener nofollow ugc">
          <img alt="zookae" src="https://avatars.githubusercontent.com/u/1692386?v=4" class="onebox-avatar-inline" width="20" height="20">
          zookae
        </a>
      </div>
    </div>

    <div class="labels">
    </div>
  </div>
</div>

  <div class="github-row">
    <p class="github-body-container">## 📚 Documentation

The "previous versions" installation guide indicates conda<span class="show-more-container"><a href="" rel="noopener" class="show-more">…</a></span><span class="excerpt hidden"> installs (for linux &amp; windows) of torch 1.8.1 should use `cudatoolkit=11.3`; this should be `cudatoolkit=11.1`. The conda website does not have binaries for cuda 11.3 for torch 1.8.1, but does have cuda 11.1 binaries. This would also make sense since it matches the pip wheel instructions for torch 1.8.1 (and cudatoolkit for torch 1.8.0).

Link to the documentation:
https://pytorch.org/get-started/previous-versions/#linux-and-windows-2

conda binaries for comparison: https://anaconda.org/pytorch/pytorch/files?version=1.8.1&amp;type=conda&amp;page=4

I think the change just amounts to swapping from:
```
# CUDA 11.3
conda install pytorch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1 cudatoolkit=11.3 -c pytorch -c conda-forge
```
to
```
# CUDA 11.1
conda install pytorch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1 cudatoolkit=11.1 -c pytorch -c conda-forge
```</span></p>
  </div>

  </article>

  <div class="onebox-metadata">
    
    
  </div>

  <div style="clear: both"></div>
</aside>
<aside class="onebox githubissue" data-onebox-src="https://github.com/pytorch/pytorch.github.io/issues/1403">
  <header class="source">

      <a href="https://github.com/pytorch/pytorch.github.io/issues/1403" target="_blank" rel="noopener nofollow ugc">github.com/pytorch/pytorch.github.io</a>
  </header>

  <article class="onebox-body">
    <div class="github-row">
  <div class="github-icon-container" title="Issue" data-github-private-repo="false">
	  <svg width="60" height="60" class="github-icon" viewBox="0 0 14 16" aria-hidden="true"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg>
  </div>

  <div class="github-info-container">
    <h4>
      <a href="https://github.com/pytorch/pytorch.github.io/issues/1403" target="_blank" rel="noopener nofollow ugc">Wrong conda installation instruction for v1.9.1</a>
    </h4>

    <div class="github-info">
      <div class="date">
        opened <span class="discourse-local-date" data-format="ll" data-date="2023-06-27" data-time="04:27:30" data-timezone="UTC">04:27AM - 27 Jun 23 UTC</span>
      </div>


      <div class="user">
        <a href="https://github.com/Ginurx" target="_blank" rel="noopener nofollow ugc">
          <img alt="Ginurx" src="https://avatars.githubusercontent.com/u/586349?v=4" class="onebox-avatar-inline" width="20" height="20">
          Ginurx
        </a>
      </div>
    </div>

    <div class="labels">
    </div>
  </div>
</div>

  <div class="github-row">
    <p class="github-body-container">On the page [https://pytorch.org/get-started/previous-versions/](https://pytorch<span class="show-more-container"><a href="" rel="noopener" class="show-more">…</a></span><span class="excerpt hidden">.org/get-started/previous-versions/#linux-and-windows-16) the following instructions are provided:

```
Linux and Windows
# CUDA 10.2
conda install pytorch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1 cudatoolkit=10.2 -c pytorch

# CUDA 11.3
conda install pytorch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1 cudatoolkit=11.3 -c pytorch -c conda-forge

# CPU Only
conda install pytorch==1.9.0 torchvision==0.10.1 torchaudio==0.9.1 cpuonly -c pytorch
```

However, when checking [https://anaconda.org/pytorch/pytorch/files?version=1.9.1](https://anaconda.org/pytorch/pytorch/files?version=1.9.1), I noticed that there are no PyTorch packages that fulfill the requirement for CUDA 11.3. It appears that CUDA 11.1 should be used instead of 11.3.

Users who follow the current instructions will end up installing the CPU-only packages, which may not be their intention. 

Please consider updating the page with the correct CUDA version to prevent this confusion.</span></p>
  </div>

  </article>

  <div class="onebox-metadata">
    
    
  </div>

  <div style="clear: both"></div>
</aside>

<p><strong>Edit</strong><br>
There is another issue:</p>
<aside class="onebox githubissue" data-onebox-src="https://github.com/pytorch/pytorch.github.io/issues/1033">
  <header class="source">

      <a href="https://github.com/pytorch/pytorch.github.io/issues/1033" target="_blank" rel="noopener nofollow ugc">github.com/pytorch/pytorch.github.io</a>
  </header>

  <article class="onebox-body">
    <div class="github-row">
  <div class="github-icon-container" title="Issue" data-github-private-repo="false">
	  <svg width="60" height="60" class="github-icon" viewBox="0 0 14 16" aria-hidden="true"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg>
  </div>

  <div class="github-info-container">
    <h4>
      <a href="https://github.com/pytorch/pytorch.github.io/issues/1033" target="_blank" rel="noopener nofollow ugc">typo on  conda commands in pytorch.github.io/_get_started/previous-versions.md </a>
    </h4>

    <div class="github-info">
      <div class="date">
        opened <span class="discourse-local-date" data-format="ll" data-date="2022-06-02" data-time="16:49:20" data-timezone="UTC">04:49PM - 02 Jun 22 UTC</span>
      </div>


      <div class="user">
        <a href="https://github.com/bbelgodere" target="_blank" rel="noopener nofollow ugc">
          <img alt="bbelgodere" src="https://avatars.githubusercontent.com/u/951819?v=4" class="onebox-avatar-inline" width="20" height="20">
          bbelgodere
        </a>
      </div>
    </div>

    <div class="labels">
    </div>
  </div>
</div>

  <div class="github-row">
    <p class="github-body-container">## 📚 Documentation

Looks like there are several typos in [pytorch.github.io](<span class="show-more-container"><a href="" rel="noopener" class="show-more">…</a></span><span class="excerpt hidden">https://github.com/pytorch/pytorch.github.io)/[_get_started](https://github.com/pytorch/pytorch.github.io/tree/site/_get_started)/previous-versions.md regarding conda installs 

While 1.10.1 and 1.10.0 have been compiled against Cuda 11.1 and 11.3 in the conda-forge pytorch channel Versions 1.9.1, 1.9.0, and 1.8.1 are only compiled against cuda 11.1

Either the following three sections need to be updated to require cudatoolkit=11.1 not cudatoolkit=11.3
https://pytorch.org/get-started/previous-versions/#linux-and-windows-4
https://pytorch.org/get-started/previous-versions/#linux-and-windows-6
https://pytorch.org/get-started/previous-versions/#linux-and-windows-8

or the additional packages need to uploaded to the conda-forge pytorch channel

I verified the available packages for conda via 
https://anaconda.org/pytorch/pytorch/files?version=1.9.1
https://anaconda.org/pytorch/pytorch/files?version=1.9.0
https://anaconda.org/pytorch/pytorch/files?version=1.8.1


Thanks for all the hard work building great tools and keeping the documentation current...</span></p>
  </div>

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  <div style="clear: both"></div>
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username: Tony-Y
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        Comment by
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          Tony-Y
        </a> - <a href="https://github.com/pytorch/pytorch.github.io/pull/1813#issuecomment-2547622393" target="_blank" rel="noopener nofollow ugc">Update previous-versions.md</a>
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      <code>pytorch:site</code> ← <code>Tony-Y:fix-previous-versions</code>
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    <p class="github-body-container">I have checked PyTorch installations for CUDA 11.1 and 11.3 using GitHub Actions<span class="show-more-container"><a href="https://github.com/pytorch/pytorch.github.io/pull/1813" target="_blank" rel="noopener nofollow ugc" class="show-more">…</a></span><span class="excerpt hidden">. 

CUDA 11.1: https://github.com/Tony-Y/check-conda-pytorch/actions/runs/12367435889
The CUDA version of PyTroch was installed for CUDA 11.1.
&lt;img width="800" alt="cuda-111" src="https://github.com/user-attachments/assets/1629aa46-3ec0-4aa1-a03a-8abe95ea4d68" /&gt;

CUDA 11.3: https://github.com/Tony-Y/check-conda-pytorch/actions/runs/12367435900
The CUDA version of PyTroch was **NOT** installed for CUDA 11.3. Instead, the CPU version was installed.
&lt;img width="800" alt="cuda-113" src="https://github.com/user-attachments/assets/5c24184b-623f-42eb-bfad-3d5fb0dadee3" /&gt;

**Edit**
OS: Ubuntu 22.04, Windows Server 2022
Python: 3.9
PyTorch: 1.8.1, 1.9.0, 1.9.1
CUDA Toolkit: 11.1, 11.3</span></p>
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<p><strong>Eidt</strong></p>
<aside class="quote no-group" data-username="ptrblck" data-post="17" data-topic="212679">
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<img loading="lazy" alt="" width="24" height="24" src="https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ptrblck/48/1823_2.png" class="avatar"> ptrblck:</div>
<blockquote>
<p>Contributions are always welcome if you have suggestions how to improve the docs or installation guide.<br>
The majority of the users won’t try to install binaries which were released over 3.5 years ago.<br>
In case you are interested in using these and see any dependency issue or installation error, feel free to suggest a fix in a PR or create an issue.</p>
</blockquote>
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          Tony-Y
        </a> - <a href="https://github.com/pytorch/pytorch.github.io/pull/1813#issuecomment-2560654246" target="_blank" rel="noopener nofollow ugc">Update previous-versions.md</a>
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      <code>pytorch:site</code> ← <code>Tony-Y:fix-previous-versions</code>
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    <p class="github-body-container">I have checked if it is possible to import `torchvision` and `torchaudio`. On Wi<span class="show-more-container"><a href="https://github.com/pytorch/pytorch.github.io/pull/1813" target="_blank" rel="noopener nofollow ugc" class="show-more">…</a></span><span class="excerpt hidden">ndows, we have to install `pillow` and `soundfile` via PyPI. The CUDA version of `pillow` emits an error:
```
ImportError: DLL load failed while importing _imaging: The specified module could not be found.
```
because `jpeg-9b` is installed by the requirements for `torchvision`. `soundfile` is required for enabling the SoundFile backend in `torchaudio`. Refer to https://pytorch.org/audio/0.8.0/backend.html.

On Windows, Torchaudio 0.8.1 issues a warning:
```
UserWarning: torchaudio C++ extension is not available.
```
because
&gt; "sox" and "sox_io" backends require C++ extension module, which is included in Linux/macOS binary distributions.
&gt; These backends are not available on Windows.

CUDA 11.1: https://github.com/Tony-Y/check-conda-pytorch/actions/runs/12468852141/job/34800857037
The CUDA version of PyTroch and Torchvision were installed for CUDA 11.1.
&lt;img width="700" alt="windows-cu111" src="https://github.com/user-attachments/assets/5ac4a989-d44b-41da-8974-cdddbca9609c" /&gt;

CUDA 11.3: https://github.com/Tony-Y/check-conda-pytorch/actions/runs/12468852141/job/34800857289
The CUDA version of PyTroch and Torchvision were **NOT** installed for CUDA 11.3. Instead, the CPU version was installed.
&lt;img width="700" alt="windows-cu113" src="https://github.com/user-attachments/assets/c9ef9f53-6594-412a-b669-6eb657539ab3" /&gt;</span></p>
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<p><a class="mention" href="/u/ptrblck">@ptrblck</a> I have checked my PR to some extent. Do you think my PR is acceptable to the website maintainers?</p>