Question: When I run the pip install in the new conda env: (base) brando9~ $ pip install torch==1.9.1+cu111 torchvision==0.10.1+cu111 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html Looking in links: https://download.pytorch.org/whl/torch_stable.html ERROR: Could not find a version that satisfies the requirement torch==1.9.1+cu111 (from versions: 1.11.0, 1.11.0+cpu, 1.11.0+cu102, 1.11.0+cu113, 1.11.0+cu115, 1.11.0+rocm4.3.1, 1.11.0+rocm4.5.2, 1.12.0, 1.12.0+cpu, 1.12.0+cu102, 1.12.0+cu113, 1.12.0+cu116, 1.12.0+rocm5.0, 1.12.0+rocm5.1.1, 1.12.1, 1.12.1+cpu, 1.12.1+cu102, 1.12.1+cu113, 1.12.1+cu116, 1.12.1+rocm5.0, 1.12.1+rocm5.1.1, 1.13.0, 1.13.0+cpu, 1.13.0+cu116, 1.13.0+cu117, 1.13.0+cu117.with.pypi.cudnn, 1.13.0+rocm5.1.1, 1.13.0+rocm5.2, 1.13.1, 1.13.1+cpu, 1.13.1+cu116, 1.13.1+cu117, 1.13.1+cu117.with.pypi.cudnn, 1.13.1+rocm5.1.1, 1.13.1+rocm5.2) ERROR: No matching distribution found for torch==1.9.1+cu111  the other env with that pytorch version: (metalearning3.9) [pzy2@vision-submit ~]$ pip list Package Version Location ---------------------------------- -------------------- ------------------ absl-py 1.0.0 aiohttp 3.8.3 aiosignal 1.3.1 alabaster 0.7.12 anaconda-client 1.9.0 anaconda-project 0.10.1 antlr4-python3-runtime 4.8 anyio 2.2.0 appdirs 1.4.4 argcomplete 2.0.0 argh 0.26.2 argon2-cffi 20.1.0 arrow 0.13.1 asn1crypto 1.4.0 astroid 2.6.6 astropy 4.3.1 asttokens 2.0.7 astunparse 1.6.3 async-generator 1.10 async-timeout 4.0.2 atomicwrites 1.4.0 attrs 21.2.0 autopep8 1.5.7 Babel 2.9.1 backcall 0.2.0 backports.shutil-get-terminal-size 1.0.0 beautifulsoup4 4.10.0 binaryornot 0.4.4 bitarray 2.3.0 bkcharts 0.2 black 19.10b0 bleach 4.0.0 bokeh 2.4.1 boto 2.49.0 Bottleneck 1.3.2 brotlipy 0.7.0 cached-property 1.5.2 cachetools 5.0.0 certifi 2021.10.8 cffi 1.14.6 chardet 4.0.0 charset-normalizer 2.0.4 cherry-rl 0.1.4 click 8.0.3 cloudpickle 2.0.0 clyent 1.2.2 colorama 0.4.4 conda 4.12.0 conda-content-trust 0+unknown conda-pack 0.6.0 conda-package-handling 1.8.0 conda-token 0.3.0 configparser 5.3.0 contextlib2 0.6.0.post1 cookiecutter 1.7.2 crc32c 2.3 crcmod 1.7 cryptography 3.4.8 cycler 0.10.0 Cython 0.29.24 cytoolz 0.11.0 daal4py 2021.3.0 dask 2021.10.0 debugpy 1.4.1 decorator 5.1.0 defusedxml 0.7.1 diff-match-patch 20200713 dill 0.3.4 distributed 2021.10.0 docker-pycreds 0.4.0 docutils 0.17.1 entrypoints 0.3 et-xmlfile 1.1.0 executing 0.9.1 fairseq 0.12.2 /home/pzy2/fairseq fastcache 1.1.0 fastcluster 1.2.6 fasteners 0.17.3 filelock 3.3.1 flake8 3.9.2 Flask 1.1.2 flatbuffers 2.0.7 fonttools 4.25.0 frozenlist 1.3.0 fsspec 2021.8.1 gast 0.4.0 gcs-oauth2-boto-plugin 3.0 gevent 21.8.0 gitdb 4.0.9 GitPython 3.1.27 glob2 0.7 gmpy2 2.0.8 google-apitools 0.5.32 google-auth 2.6.3 google-auth-oauthlib 0.4.6 google-pasta 0.2.0 google-reauth 0.1.1 gql 0.2.0 graphql-core 1.1 greenlet 1.1.1 grpcio 1.44.0 gsutil 5.9 gym 0.22.0 gym-notices 0.0.6 h5py 3.3.0 HeapDict 1.0.1 higher 0.2.1 html5lib 1.1 httplib2 0.20.4 huggingface-hub 0.5.1 hydra-core 1.0.7 idna 3.2 imagecodecs 2021.8.26 imageio 2.9.0 imagesize 1.2.0 importlib-metadata 4.12.0 inflection 0.5.1 iniconfig 1.1.1 intervaltree 3.1.0 ipykernel 6.4.1 ipython 7.29.0 ipython-genutils 0.2.0 ipywidgets 7.6.5 isort 5.9.3 itsdangerous 2.0.1 jdcal 1.4.1 jedi 0.18.0 jeepney 0.7.1 Jinja2 2.11.3 jinja2-time 0.2.0 joblib 1.1.0 json5 0.9.6 jsonschema 3.2.0 jupyter 1.0.0 jupyter-client 6.1.12 jupyter-console 6.4.0 jupyter-core 4.8.1 jupyter-server 1.4.1 jupyterlab 3.2.1 jupyterlab-pygments 0.1.2 jupyterlab-server 2.8.2 jupyterlab-widgets 1.0.0 keras 2.10.0 Keras-Preprocessing 1.1.2 keyring 23.1.0 kiwisolver 1.3.1 lark-parser 0.12.0 lazy-object-proxy 1.6.0 learn2learn 0.1.7 libarchive-c 2.9 libclang 14.0.6 littleutils 0.2.2 llvmlite 0.37.0 locket 0.2.1 loguru 0.6.0 lxml 4.6.3 Markdown 3.3.6 MarkupSafe 1.1.1 matplotlib 3.4.3 matplotlib-inline 0.1.2 mccabe 0.6.1 mistune 0.8.4 mkl-fft 1.3.1 mkl-random 1.2.2 mkl-service 2.4.0 mock 4.0.3 monotonic 1.6 more-itertools 8.10.0 mpmath 1.2.1 msgpack 1.0.2 multidict 6.0.2 multipledispatch 0.6.0 munkres 1.1.4 mypy-extensions 0.4.3 nbclassic 0.2.6 nbclient 0.5.3 nbconvert 6.1.0 nbformat 5.1.3 nest-asyncio 1.5.1 networkx 2.6.3 nltk 3.6.5 nose 1.3.7 notebook 6.4.5 numba 0.54.1 numexpr 2.7.3 numpy 1.20.3 numpydoc 1.1.0 nvidia-ml-py3 7.352.0 nvidia-smi 0.1.3 oauth2client 4.1.3 oauthlib 3.2.0 olefile 0.46 omegaconf 2.0.6 opencv-python 4.6.0.66 openpyxl 3.0.9 opt-einsum 3.3.0 ordered-set 4.1.0 packaging 21.0 pandas 1.3.4 pandocfilters 1.4.3 parso 0.8.2 partd 1.2.0 path 16.0.0 pathlib2 2.3.6 pathspec 0.7.0 pathtools 0.1.2 patsy 0.5.2 pep8 1.7.1 pexpect 4.8.0 pickleshare 0.7.5 Pillow 8.4.0 pip 22.2.2 pkginfo 1.7.1 plotly 5.7.0 pluggy 0.13.1 ply 3.11 portalocker 2.5.1 poyo 0.5.0 progressbar2 4.0.0 prometheus-client 0.11.0 promise 2.3 prompt-toolkit 3.0.20 protobuf 3.19.6 psutil 5.8.0 ptyprocess 0.7.0 py 1.10.0 pyasn1 0.4.8 pyasn1-modules 0.2.8 pycodestyle 2.7.0 pycosat 0.6.3 pycparser 2.20 pycurl 7.44.1 pydocstyle 6.1.1 pyerfa 2.0.0 pyflakes 2.3.1 Pygments 2.10.0 pylint 2.9.6 pyls-spyder 0.4.0 pyodbc 4.0.0-unsupported pyOpenSSL 21.0.0 pyparsing 3.0.4 pyrsistent 0.18.0 PySocks 1.7.1 pytest 6.2.4 python-dateutil 2.8.2 python-lsp-black 1.0.0 python-lsp-jsonrpc 1.0.0 python-lsp-server 1.2.4 python-slugify 5.0.2 python-utils 3.1.0 pytz 2021.3 pyu2f 0.1.5 PyWavelets 1.1.1 pyxdg 0.27 PyYAML 6.0 pyzmq 22.2.1 QDarkStyle 3.0.2 qpth 0.0.15 qstylizer 0.1.10 QtAwesome 1.0.2 qtconsole 5.1.1 QtPy 1.10.0 regex 2021.8.3 requests 2.26.0 requests-oauthlib 1.3.1 retry-decorator 1.1.1 rope 0.19.0 rsa 4.7.2 Rtree 0.9.7 ruamel-yaml-conda 0.15.100 sacrebleu 2.2.0 sacremoses 0.0.49 scikit-image 0.18.3 scikit-learn 0.24.2 scikit-learn-intelex 2021.20210714.170444 scipy 1.7.1 seaborn 0.11.2 SecretStorage 3.3.1 Send2Trash 1.8.0 sentry-sdk 1.5.9 setproctitle 1.2.2 setuptools 58.0.4 shortuuid 1.0.8 simplegeneric 0.8.1 singledispatch 3.7.0 sip 4.19.13 six 1.16.0 sklearn 0.0 smmap 5.0.0 sniffio 1.2.0 snowballstemmer 2.1.0 sorcery 0.2.2 sortedcollections 2.1.0 sortedcontainers 2.4.0 soupsieve 2.2.1 Sphinx 4.2.0 sphinxcontrib-applehelp 1.0.2 sphinxcontrib-devhelp 1.0.2 sphinxcontrib-htmlhelp 2.0.0 sphinxcontrib-jsmath 1.0.1 sphinxcontrib-qthelp 1.0.3 sphinxcontrib-serializinghtml 1.1.5 sphinxcontrib-websupport 1.2.4 spyder 5.1.5 spyder-kernels 2.1.3 SQLAlchemy 1.4.22 statsmodels 0.12.2 subprocess32 3.5.4 sympy 1.9 tables 3.6.1 TBB 0.2 tblib 1.7.0 tensorboard 2.10.1 tensorboard-data-server 0.6.1 tensorboard-plugin-wit 1.8.1 tensorflow-estimator 2.10.0 tensorflow-gpu 2.10.1 tensorflow-io-gcs-filesystem 0.27.0 termcolor 2.0.1 terminado 0.9.4 testpath 0.5.0 text-unidecode 1.3 textdistance 4.2.1 tfrecord 1.14.1 threadpoolctl 2.2.0 three-merge 0.1.1 tifffile 2021.7.2 timm 0.6.11 tinycss 0.4 tokenizers 0.11.6 toml 0.10.2 toolz 0.11.1 torch 1.9.1+cu111 torchaudio 0.9.1 torchmeta 1.8.0 torchtext 0.10.1 torchvision 0.10.1+cu111 tornado 6.1 tqdm 4.62.3 traitlets 5.1.0 transformers 4.18.0 typed-ast 1.4.3 typing-extensions 3.10.0.2 ujson 4.0.2 ultimate-anatome 0.1.1 ultimate-aws-cv-task2vec 0.0.1 unicodecsv 0.14.1 Unidecode 1.2.0 urllib3 1.26.7 wandb 0.13.5 watchdog 2.1.3 wcwidth 0.2.5 webencodings 0.5.1 Werkzeug 2.0.2 wheel 0.37.0 whichcraft 0.6.1 widgetsnbextension 3.5.1 wrapt 1.12.1 wurlitzer 2.1.1 xlrd 2.0.1 XlsxWriter 3.0.1 xlwt 1.3.0 yapf 0.31.0 yarl 1.7.2 zict 2.0.0 zipp 3.6.0 zope.event 4.5.0 zope.interface 5.4.0 WARNING: You are using pip version 22.2.2; however, version 22.3.1 is available. You should consider upgrading via the '/home/pzy2/miniconda3/envs/metalearning3.9/bin/python -m pip install --upgrade pip' command. (metalearning3.9) [pzy2@vision-submit ~]$   I asked a related question because I can't install pytorch with cuda with conda, see details here: why does conda install the pytorch CPU version despite me putting explicitly to download the cuda toolkit version?  I think this works: # -- Install PyTorch sometimes requires more careful versioning due to cuda, ref: official install instruction https://pytorch.org/get-started/previous-versions/ # you need python 3.9 for torch version 1.9.1 to work, due to torchmeta==1.8.0 requirement if ! python -V 2>&1 | grep -q 'Python 3\.9'; then echo "Error: Python 3.9 is required!" exit 1 fi pip install torch==1.9.1+cu111 torchvision==0.10.1+cu111 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html 

Answer: To install pytorch 1.9.1cu11 you need python 3.9 to be avaiable. Added that to my bash install.sh # - create conda env conda create -n metalearning_gpu python=3.9 conda activate metalearning_gpu ## conda remove --name metalearning_gpu --all # - make sure pip is up to date which python pip install --upgrade pip pip3 install --upgrade pip which pip which pip3 # -- Install PyTorch sometimes requires more careful versioning due to cuda, ref: official install instruction https://pytorch.org/get-started/previous-versions/ # you need python 3.9 for torch version 1.9.1 to work, due to torchmeta==1.8.0 requirement if ! python -V 2>&1 | grep -q 'Python 3\.9'; then echo "Error: Python 3.9 is required!" exit 1 fi pip install torch==1.9.1+cu111 torchvision==0.10.1+cu111 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html