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

yanzi_shi · November 8, 2024, 3:25am

I am trying to install torch=1.8.1 and cudatoolkit=11.3 offline, but I cannot find this package on either website of http://download.pytorch.org/whl/torch_stable.html and https://download.pytorch.org/whl/torch/

Tony-Y · November 8, 2024, 4:27am

Conda packages differ from Python packages.

yanzi_shi · November 8, 2024, 4:45am

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

Tony-Y · November 8, 2024, 4:49am

Try Conda-Pack.

yanzi_shi · November 8, 2024, 4:54am

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.

Tony-Y · November 8, 2024, 5:06am

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.

yanzi_shi · November 8, 2024, 5:10am

Yeah, I have tried this, but there’s something wrong as follows:

Tony-Y · November 8, 2024, 5:32am

github.com/conda/conda

Unable to install packages using conda

opened 03:40PM - 05 Sep 23 UTC

closed 06:56PM - 07 Sep 23 UTC

NordinZandhuis

type::support source::community locked pending::support

### Checklist - [X] I added a descriptive title - [X] I searched open report…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 ==> /Users/nordin/.condarc <== channel_priority: strict channels: - defaults - bioconda - conda-forge ==> envvars <== allow_softlinks: False ==> cmd_line <== 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_

conda install -n base conda=23.7.3 conda-build=3.26.1

It might solve your issue.

yanzi_shi · November 8, 2024, 5:46am

Thanks. I just upgraded Conda, and it seems to work now.

conda update conda

yanzi_shi · November 8, 2024, 6:07am

PyTorch installed using the following command seems to be an version of CPU rather than GPU, do you have any ideas on this

conda install pytorch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1 cudatoolkit=11.3 -c pytorch -c conda-forge

Tony-Y · November 8, 2024, 9:59am

I could not find a GPU package for PyTorch 1.8.1 and 1.9.1 by using conda:

$ 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

$ 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

$ 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

$ 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

$ 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

Tony-Y · November 8, 2024, 2:19pm

@ptrblck Some Conda packages are no longer available at conda-forge.

For example,

# 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

Do you know people that can edit these installation recipes of the PyTorch website?

ptrblck · November 8, 2024, 2:24pm

Which package is missing from conda-forge?

Tony-Y · November 8, 2024, 2:34pm

All packages of 1.8.1 are missing:

https://anaconda.org/conda-forge/pytorch/files

ptrblck · November 8, 2024, 2:51pm

We don’t maintain the conda-forge PyTorch binary so you might want to reach out to conda-forge directly. The -c conda-forge 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.

Tony-Y · November 9, 2024, 4:50am

Why has the installation guide of the PyTorch website been not updated?
There have already been similar reports on this forum:

ptrblck · November 9, 2024, 2:49pm

Contributions are always welcome if you have suggestions how to improve the docs or installation guide.
The majority of the users won’t try to install binaries which were released over 3.5 years ago.
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.

Tony-Y · November 10, 2024, 2:53am

The installation guide should be revised as follows:

# 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

because there are Conda packages for CUDA 11.1 instead of CUDA 11.3.

# 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

I might create a GitHub issue when I have time.

Tony-Y · November 10, 2024, 4:23pm

I found an issue for pytorch 1.8.1 and 1.9.1:

github.com/pytorch/pytorch.github.io

Incorrect install command for torch 1.8.1 using conda

opened 08:28PM - 04 Feb 22 UTC

zookae

## 📚 Documentation The "previous versions" installation guide indicates conda… installs (for linux & 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&type=conda&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 ```

github.com/pytorch/pytorch.github.io

Wrong conda installation instruction for v1.9.1

opened 04:27AM - 27 Jun 23 UTC

Ginurx

On the page [https://pytorch.org/get-started/previous-versions/](https://pytorch….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.

Edit
There is another issue:

github.com/pytorch/pytorch.github.io

typo on conda commands in pytorch.github.io/_get_started/previous-versions.md

opened 04:49PM - 02 Jun 22 UTC

bbelgodere

## 📚 Documentation Looks like there are several typos in [pytorch.github.io](…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...