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Unable to pin pytorch with cuda. #2194

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2 tasks done
chebee7i opened this issue Dec 30, 2022 · 9 comments
Closed
2 tasks done

Unable to pin pytorch with cuda. #2194

chebee7i opened this issue Dec 30, 2022 · 9 comments

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@chebee7i
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chebee7i commented Dec 30, 2022 •
edited
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Troubleshooting docs

  • My problem is not solved in the Troubleshooting docs

Search tried in issue tracker

pytorch cuda

Latest version of Mamba

  • My problem is not solved with the latest version

Tried in Conda?

Reproducible with Conda using experimental solver.

Describe your issue

I am having issues specifying a version of pytorch (1.13) while also ensuring that I get the cuda version. See the pasted info in the other forms. The essential error is:

 Encountered problems while solving:
      - nothing provides cuda 11.6.* needed by pytorch-cuda-11.6-h867d48c_0

when specifying pytorch::pytorch=1.13.*=*cuda*.

How can I pin pytorch to 1.13 and force cuda?

The packages look to be available:

$ micromamba search -c conda-forge cudatoolkit  | grep 11.6
 cudatoolkit 11.6.0   hecad31d_11 conda-forge/linux-64
 cudatoolkit 11.6.0   habf752d_10 conda-forge/linux-64
 cudatoolkit 11.6.0   habf752d_9  conda-forge/linux-64
 cudatoolkit 11.6.0   hecad31d_10 conda-forge/linux-64

$ micromamba search -c pytorch pytorch | grep 3.8 | grep 1.13
 pytorch 1.13.1     py3.8_cpu_0                          pytorch/linux-64
 pytorch 1.13.1     py3.8_cuda11.6_cudnn8.3.2_0          pytorch/linux-64
 pytorch 1.13.1     py3.8_cuda11.7_cudnn8.5.0_0          pytorch/linux-64
 pytorch 1.13.0     py3.8_cuda11.7_cudnn8.5.0_0          pytorch/linux-64
 pytorch 1.13.0     py3.8_cpu_0                          pytorch/linux-64
 pytorch 1.13.0     py3.8_cuda11.6_cudnn8.3.2_0          pytorch/linux-64

When I do try a similar install using conda ala:

CONDA_OVERRIDE_CUDA=11.6 conda env create -f env.yml --experimental-solver=libmamba

then I get a similar error. Note that I am building on a host that does not have a GPU...this is for later installation from lock file on a host that does have a GPU.

When I do not pin the version and use pytorch::pytorch=*=*cuda* instead, then there is a successful install, but it obviously isn't guaranteed to give the package version that I want. In this case, it gives 1.12.1.

$ cat env.yml
name: testenv
channels:
  - pytorch
  - conda-forge
dependencies:
  - python >=3.8,<3.9
  - pytorch::pytorch=*=*cuda*
  # - pytorch::pytorch=1.13.*=*cuda*

$ micromamba create -f env.yml -v
          __  ______ ___  ____ _____ ___  / /_  ____ _
         / / / / __ `__ \/ __ `/ __ `__ \/ __ \/ __ `/
        / /_/ / / / / / / /_/ / / / / / / /_/ / /_/ /
       / .___/_/ /_/ /_/\__,_/_/ /_/ /_/_.___/\__,_/
      /_/

info     libmamba Parsing MatchSpec python >=3.8,<3.9
info     libmamba Parsing MatchSpec pytorch::pytorch=*=*cuda*
info     libmamba Parsing MatchSpec cudatoolkit=11.6
info     libmamba Searching index cache file for repo 'https://conda.anaconda.org/pytorch/linux-64/repodata.json'
info     libmamba Found cache at '/home/username/micromamba/pkgs/cache/ee0ed9e9.json'
pytorch/linux-64                                            Using cache
info     libmamba Searching index cache file for repo 'https://conda.anaconda.org/pytorch/noarch/repodata.json'
info     libmamba Found cache at '/home/username/micromamba/pkgs/cache/edb1952f.json'
pytorch/noarch                                              Using cache
info     libmamba Searching index cache file for repo 'https://conda.anaconda.org/conda-forge/linux-64/repodata.json'
info     libmamba Found cache at '/home/username/micromamba/pkgs/cache/497deca9.json'
conda-forge/linux-64                                        Using cache
info     libmamba Searching index cache file for repo 'https://conda.anaconda.org/conda-forge/noarch/repodata.json'
info     libmamba Found cache at '/home/username/micromamba/pkgs/cache/09cdf8bf.json'
conda-forge/noarch                                          Using cache
info     libmamba All targets to download are cached
info     libmamba Reading cache files '/home/username/micromamba/pkgs/cache/ee0ed9e9.*' for repo index 'https://conda.anaconda.org/pytorch/linux-64'
info     libmamba Reading cache files '/home/username/micromamba/pkgs/cache/edb1952f.*' for repo index 'https://conda.anaconda.org/pytorch/noarch'
info     libmamba Reading cache files '/home/username/micromamba/pkgs/cache/497deca9.*' for repo index 'https://conda.anaconda.org/conda-forge/linux-64'
info     libmamba Reading cache files '/home/username/micromamba/pkgs/cache/09cdf8bf.*' for repo index 'https://conda.anaconda.org/conda-forge/noarch'
info     libmamba Adding package record to repo __archspec
info     libmamba Adding package record to repo __glibc
info     libmamba Adding package record to repo __linux
info     libmamba Adding package record to repo __unix
info     libmamba Parsing MatchSpec python >=3.8,<3.9
info     libmamba Parsing MatchSpec python >=3.8,<3.9
info     libmamba Adding job: python >=3.8,<3.9
info     libmamba Parsing MatchSpec pytorch::pytorch=*=*cuda*
info     libmamba Parsing MatchSpec pytorch::pytorch=*=*cuda*
info     libmamba Parsing MatchSpec cudatoolkit=11.6
info     libmamba Parsing MatchSpec cudatoolkit=11.6
info     libmamba Adding job: cudatoolkit =11.6*
info     libmamba Problem count: 0
info     libmamba Found python version in packages to be installed 3.8.15

Transaction

  Prefix: /home/username/micromamba/envs/testenv

  Updating specs:

   - python[version='>=3.8,<3.9']
   - pytorch::pytorch=*[build=*cuda*]
   - cudatoolkit=11.6


  Package                Version  Build                        Channel                   Size
───────────────────────────────────────────────────────────────────────────────────────────────
  Install:
──────────────────────────────────────────────────────────────────────────â<94><80>────────────────────

  + _libgcc_mutex            0.1  conda_forge                  conda-forge/linux-64       3kB
  + _openmp_mutex            4.5  2_kmp_llvm                   conda-forge/linux-64       6kB
  + blas                   2.116  mkl                          conda-forge/linux-64      13kB
  + blas-devel             3.9.0  16_linux64_mkl               conda-forge/linux-64      13kB
  + bzip2                  1.0.8  h7f98852_4                   conda-forge/linux-64     496kB
  + ca-certificates    2022.12.7  ha878542_0                   conda-forge/linux-64     146kB
  + cudatoolkit           11.6.0  hecad31d_11                  conda-forge/linux-64     568MB
  + icu                     70.1  h27087fc_0                   conda-forge/linux-64      14MB
  + ld_impl_linux-64        2.39  hcc3a1bd_1                   conda-forge/linux-64     691kB
  + libblas                3.9.0  16_linux64_mkl               conda-forge/linux-64      13kB
  + libcblas               3.9.0  16_linux64_mkl               conda-forge/linux-64      13kB
  + libffi                 3.4.2  h7f98852_5                   conda-forge/linux-64      58kB
  + libgcc-ng             12.2.0  h65d4601_19                  conda-forge/linux-64     954kB
  + libgfortran-ng        12.2.0  h69a702a_19                  conda-forge/linux-64      23kB
  + libgfortran5          12.2.0  h337968e_19                  conda-forge/linux-64       2MB
  + libhwloc               2.8.0  h32351e8_1                   conda-forge/linux-64       3MB
  + libiconv                1.17  h166bdaf_0                   conda-forge/linux-64       1MB
  + liblapack              3.9.0  16_linux64_mkl               conda-forge/linux-64      13kB
  + liblapacke             3.9.0  16_linux64_mkl               conda-forge/linux-64      13kB
  + libnsl                 2.0.0  h7f98852_0                   conda-forge/linux-64      31kB
  + libsqlite             3.40.0  h753d276_0                   conda-forge/linux-64     810kB
  + libstdcxx-ng          12.2.0  h46fd767_19                  conda-forge/linux-64       4MB
  + libuuid               2.32.1  h7f98852_1000                conda-forge/linux-64      28kB
  + libxml2               2.10.3  h7463322_0                   conda-forge/linux-64     773kB
  + libzlib               1.2.13  h166bdaf_4                   conda-forge/linux-64      66kB
  + llvm-openmp           15.0.6  he0ac6c6_0                   conda-forge/linux-64       3MB
  + mkl                 2022.1.0  h84fe81f_915                 conda-forge/linux-64     209MB
  + mkl-devel           2022.1.0  ha770c72_916                 conda-forge/linux-64      26kB
  + mkl-include         2022.1.0  h84fe81f_915                 conda-forge/linux-64     763kB
  + ncurses                  6.3  h27087fc_1                   conda-forge/linux-64       1MB
  + openssl                3.0.7  h0b41bf4_1                   conda-forge/linux-64       3MB
  + pip                   22.3.1  pyhd8ed1ab_0                 conda-forge/noarch         2MB
  + python                3.8.15  h4a9ceb5_0_cpython           conda-forge/linux-64      21MB
  + pytorch               1.12.1  py3.8_cuda11.6_cudnn8.3.2_0  pytorch/linux-64           1GB
  + pytorch-mutex            1.0  cuda                         pytorch/noarch             3kB
  + readline               8.1.2  h0f457ee_0                   conda-forge/linux-64     298kB
  + setuptools            65.6.3  pyhd8ed1ab_0                 conda-forge/noarch       634kB
  + tbb                 2021.7.0  h924138e_1                   conda-forge/linux-64       2MB
  + tk                    8.6.12  h27826a3_0                   conda-forge/linux-64       3MB
  + typing_extensions      4.4.0  pyha770c72_0                 conda-forge/noarch        30kB
  + wheel                 0.38.4  pyhd8ed1ab_0                 conda-forge/noarch        33kB
  + xz                     5.2.6  h166bdaf_0                   conda-forge/linux-64     418kB

  Summary:

  Install: 42 packages
  Total download: 2GB

───────────────────────────────────────────────────────────────────────────────────────────────


Confirm changes: [Y/n]

mamba info / micromamba info

__
          __  ______ ___  ____ _____ ___  / /_  ____ _
         / / / / __ `__ \/ __ `/ __ `__ \/ __ \/ __ `/
        / /_/ / / / / / / /_/ / / / / / / /_/ / /_/ /
       / .___/_/ /_/ /_/\__,_/_/ /_/ /_/_.___/\__,_/
      /_/


            environment : None (not found)
           env location : -
      user config files : /home/username/.mambarc
 populated config files :
       libmamba version : 1.1.0
     micromamba version : 1.1.0
           curl version : libcurl/7.86.0 OpenSSL/1.1.1s zlib/1.2.13 libssh2/1.10.0 nghttp2/1.47.0
     libarchive version : libarchive 3.6.1 zlib/1.2.13 bz2lib/1.0.8 libzstd/1.5.2
       virtual packages : __unix=0=0
                          __linux=4.18.0=0
                          __glibc=2.28=0
                          __archspec=1=x86_64
               channels :
       base environment : /home/username/micromamba
               platform : linux-64

Logs

__
          __  ______ ___  ____ _____ ___  / /_  ____ _
         / / / / __ `__ \/ __ `/ __ `__ \/ __ \/ __ `/
        / /_/ / / / / / / /_/ / / / / / / /_/ / /_/ /
       / .___/_/ /_/ /_/\__,_/_/ /_/ /_/_.___/\__,_/
      /_/

info     libmamba Parsing MatchSpec python >=3.8,<3.9
info     libmamba Parsing MatchSpec pytorch::pytorch=1.13.*=*cuda*
info     libmamba Parsing MatchSpec cudatoolkit=11.6
info     libmamba Searching index cache file for repo 'https://conda.anaconda.org/pytorch/linux-64/repodata.json'
info     libmamba Found cache at '/home/username/micromamba/pkgs/cache/ee0ed9e9.json'
pytorch/linux-64                                            Using cache
info     libmamba Searching index cache file for repo 'https://conda.anaconda.org/pytorch/noarch/repodata.json'
info     libmamba Found cache at '/home/username/micromamba/pkgs/cache/edb1952f.json'
pytorch/noarch                                              Using cache
info     libmamba Searching index cache file for repo 'https://conda.anaconda.org/conda-forge/linux-64/repodata.json'
info     libmamba Found cache at '/home/username/micromamba/pkgs/cache/497deca9.json'
conda-forge/linux-64                                        Using cache
info     libmamba Searching index cache file for repo 'https://conda.anaconda.org/conda-forge/noarch/repodata.json'
info     libmamba Found cache at '/home/username/micromamba/pkgs/cache/09cdf8bf.json'
conda-forge/noarch                                          Using cache
info     libmamba All targets to download are cached
info     libmamba Reading cache files '/home/username/micromamba/pkgs/cache/ee0ed9e9.*' for repo index 'https://conda.anaconda.org/pytorch/linux-64'
info     libmamba Reading cache files '/home/username/micromamba/pkgs/cache/edb1952f.*' for repo index 'https://conda.anaconda.org/pytorch/noarch'
info     libmamba Reading cache files '/home/username/micromamba/pkgs/cache/497deca9.*' for repo index 'https://conda.anaconda.org/conda-forge/linux-64'
info     libmamba Reading cache files '/home/username/micromamba/pkgs/cache/09cdf8bf.*' for repo index 'https://conda.anaconda.org/conda-forge/noarch'
info     libmamba Adding package record to repo __archspec
info     libmamba Adding package record to repo __glibc
info     libmamba Adding package record to repo __linux
info     libmamba Adding package record to repo __unix
info     libmamba Parsing MatchSpec python >=3.8,<3.9
info     libmamba Parsing MatchSpec python >=3.8,<3.9
info     libmamba Adding job: python >=3.8,<3.9
info     libmamba Parsing MatchSpec pytorch::pytorch=1.13.*=*cuda*
info     libmamba Parsing MatchSpec pytorch::pytorch=1.13.*=*cuda*
info     libmamba Parsing MatchSpec cudatoolkit=11.6
info     libmamba Parsing MatchSpec cudatoolkit=11.6
info     libmamba Adding job: cudatoolkit =11.6*
info     libmamba Problem count: 1
error    libmamba Could not solve for environment specs
    Encountered problems while solving:
      - nothing provides cuda 11.6.* needed by pytorch-cuda-11.6-h867d48c_0

    The environment can't be solved, aborting the operation

info     libmamba Freeing solver.
info     libmamba Freeing pool.
critical libmamba Could not solve for environment specs

environment.yml

name: testenv
channels:
  - pytorch
  - conda-forge
dependencies:
  - python >=3.8,<3.9
    #- pytorch::pytorch=*=*cuda*
  - pytorch::pytorch=1.13.*=*cuda*

~/.condarc

None
@chebee7i
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Author

I also tried a more specific version for torch: pytorch::pytorch=1.13.0=py3.8_cuda11.6*.

$ micromamba create -f env.yml -vvvv |& grep pytorch
info     libmamba Parsing MatchSpec pytorch::pytorch=1.13.0=py3.8_cuda11.6*
info     libmamba Searching index cache file for repo 'https://conda.anaconda.org/pytorch/linux-64/repodata.json'
pytorch/linux-64                                            Using cache
info     libmamba Searching index cache file for repo 'https://conda.anaconda.org/pytorch/noarch/repodata.json'
pytorch/noarch                                              Using cache
info     libmamba Reading cache files '/home/username/micromamba/pkgs/cache/ee0ed9e9.*' for repo index 'https://conda.anaconda.org/pytorch/linux-64'
info     libmamba Reading cache files '/home/username/micromamba/pkgs/cache/edb1952f.*' for repo index 'https://conda.anaconda.org/pytorch/noarch'
info     libmamba Parsing MatchSpec pytorch::pytorch=1.13.0=py3.8_cuda11.6*
info     libmamba Parsing MatchSpec pytorch::pytorch=1.13.0=py3.8_cuda11.6*
info     libsolv  job: install pytorch-1.13.0-py3.8_cuda11.6_cudnn8.3.2_0
info     libsolv      pytorch-1.13.0-py3.8_cuda11.6_cudnn8.3.2_0 [1078] (w1)
info     libsolv  conflicting pytorch-cuda-11.6-h867d48c_1 (assertion)
info     libsolv  conflicting pytorch-cuda-11.6-h867d48c_0 (assertion)
info     libsolv  installing  pytorch-1.13.0-py3.8_cuda11.6_cudnn8.3.2_0 (assertion)
info     libsolv  propagate decision -2325:    !pytorch-cuda-11.6-h867d48c_1 [2325] Conflict.level1
info     libsolv  propagate decision -2324:    !pytorch-cuda-11.6-h867d48c_0 [2324] Conflict.level1
info     libsolv      !pytorch-1.13.0-py3.8_cuda11.6_cudnn8.3.2_0 [1078] (w1) Install.level1
info     libsolv      pytorch-cuda-11.6-h867d48c_0 [2324] (w2) Conflict.level1
info     libsolv      pytorch-cuda-11.6-h867d48c_1 [2325] Conflict.level1
info     libsolv      pytorch-1.13.0-py3.8_cuda11.6_cudnn8.3.2_0 [1078] (w1) Install.level1
info     libsolv      !pytorch-cuda-11.6-h867d48c_0 [2324] (w1) Conflict.level1
info     libsolv      !pytorch-cuda-11.6-h867d48c_1 [2325] (w1) Conflict.level1
info     libsolv  conflicting pytorch-cuda-11.6-h867d48c_1 (assertion)
info     libsolv  conflicting pytorch-cuda-11.6-h867d48c_0 (assertion)
info     libsolv  propagate decision -2325:    !pytorch-cuda-11.6-h867d48c_1 [2325] Conflict.level1
info     libsolv  propagate decision -2324:    !pytorch-cuda-11.6-h867d48c_0 [2324] Conflict.level1
info     libsolv      !pytorch-1.13.0-py3.8_cuda11.6_cudnn8.3.2_0 [1078] (w1)
info     libsolv      pytorch-cuda-11.6-h867d48c_0 [2324] (w2) Conflict.level1
info     libsolv      pytorch-cuda-11.6-h867d48c_1 [2325] Conflict.level1
info     libsolv      -> decided to conflict pytorch-1.13.0-py3.8_cuda11.6_cudnn8.3.2_0
info     libsolv  propagate decision -1078:    !pytorch-1.13.0-py3.8_cuda11.6_cudnn8.3.2_0 [1078] Conflict.level1
      - nothing provides cuda 11.6.* needed by pytorch-cuda-11.6-h867d48c_0

@jonashaag
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Great report!

Want to try the new error messages? See #2078

@chebee7i
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chebee7i commented Dec 30, 2022 •
edited
Loading

Want to try the new error messages? See #2078

#2078 (comment)

The relevant bit that is new seems to be:

    =================================== Experimental messages (new) ====================================

critical libmamba Invalid dependency info: <NULL>

Is this saying that pytorch::pytorch=1.13.0=py3.8_cuda11.6* is an invalid package specification? The "dependency info" part makes me think not.

@wolfv
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wolfv commented Jan 3, 2023

does installing cuda 11.6.* work? Is the bug that it should read cuda 11.6?

@wolfv
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wolfv commented Jan 3, 2023

note that the micromamba search only lists cudatoolkit and not cuda.

@wolfv
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wolfv commented Jan 3, 2023

I think you need the nvidia channel: https://anaconda.org/nvidia/cuda

@chebee7i
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chebee7i commented Jan 4, 2023

Interesting. That does solve the issue:

CONDA_OVERRIDE_CUDA=11.6 micromamba create -f env.yml
                                           __
          __  ______ ___  ____ _____ ___  / /_  ____ _
         / / / / __ `__ \/ __ `/ __ `__ \/ __ \/ __ `/
        / /_/ / / / / / / /_/ / / / / / / /_/ / /_/ /
       / .___/_/ /_/ /_/\__,_/_/ /_/ /_/_.___/\__,_/
      /_/

pytorch/noarch                                                No change
nvidia/noarch                                        2.6kB @   7.5kB/s  0.3s
pytorch/linux-64                                              No change
nvidia/linux-64                                     96.3kB @ 239.4kB/s  0.4s
conda-forge/noarch                                  10.8MB @   3.7MB/s  2.6s
conda-forge/linux-64                                28.8MB @   4.3MB/s  6.9s

Transaction

  Prefix: /home/username/micromamba/envs/testenv

  Updating specs:

   - python[version='>=3.8,<3.9']
   - pytorch::pytorch==1.13.0[build=py3.8_cuda11.6*]
   - cudatoolkit=11.6


  Package                        Version  Build                        Channel                    Size
────────────────────────────────────────────────────────────────────────────────────────────────────────
  Install:
────────────────────────────────────────────────────────────────────────────────────────────────────────

  + _libgcc_mutex                    0.1  conda_forge                  conda-forge/linux-64     Cached
  + _openmp_mutex                    4.5  2_kmp_llvm                   conda-forge/linux-64        6kB
  + blas                           2.116  mkl                          conda-forge/linux-64       13kB
  + blas-devel                     3.9.0  16_linux64_mkl               conda-forge/linux-64       13kB
  + bzip2                          1.0.8  h7f98852_4                   conda-forge/linux-64     Cached
  + ca-certificates            2022.12.7  ha878542_0                   conda-forge/linux-64     Cached
  + cuda                          11.6.1  0                            nvidia/linux-64             1kB
  + cuda-cccl                    11.6.55  hf6102b2_0                   nvidia/linux-64             1MB
  + cuda-command-line-tools       11.6.2  0                            nvidia/linux-64             1kB
  + cuda-compiler                 11.6.2  0                            nvidia/linux-64             1kB
  + cuda-cudart                  11.6.55  he381448_0                   nvidia/linux-64           198kB
  + cuda-cudart-dev              11.6.55  h42ad0f4_0                   nvidia/linux-64             1MB
  + cuda-cuobjdump              11.6.124  h2eeebcb_0                   nvidia/linux-64           138kB
  + cuda-cupti                  11.6.124  h86345e5_0                   nvidia/linux-64            23MB
  + cuda-cuxxfilt               11.6.124  hecbf4f6_0                   nvidia/linux-64           290kB
  + cuda-driver-dev              11.6.55  0                            nvidia/linux-64            17kB
  + cuda-gdb                     12.0.90  0                            nvidia/linux-64             6MB
  + cuda-libraries                11.6.1  0                            nvidia/linux-64             2kB
  + cuda-libraries-dev            11.6.1  0                            nvidia/linux-64             2kB
  + cuda-memcheck                11.8.86  0                            nvidia/linux-64           172kB
  + cuda-nsight                  12.0.78  0                            nvidia/linux-64           119MB
  + cuda-nsight-compute           12.0.0  0                            nvidia/linux-64             1kB
  + cuda-nvcc                   11.6.124  hbba6d2d_0                   nvidia/linux-64            44MB
  + cuda-nvdisasm                12.0.76  0                            nvidia/linux-64            50MB
  + cuda-nvml-dev                11.6.55  haa9ef22_0                   nvidia/linux-64            67kB
  + cuda-nvprof                  12.0.90  0                            nvidia/linux-64             5MB
  + cuda-nvprune                11.6.124  he22ec0a_0                   nvidia/linux-64            66kB
  + cuda-nvrtc                  11.6.124  h020bade_0                   nvidia/linux-64            18MB
  + cuda-nvrtc-dev              11.6.124  h249d397_0                   nvidia/linux-64            18MB
  + cuda-nvtx                   11.6.124  h0630a44_0                   nvidia/linux-64            59kB
  + cuda-nvvp                    12.0.90  0                            nvidia/linux-64           120MB
  + cuda-runtime                  11.6.1  0                            nvidia/linux-64             1kB
  + cuda-samples                11.6.101  h8efea70_0                   nvidia/linux-64             5kB
  + cuda-sanitizer-api           12.0.90  0                            nvidia/linux-64            17MB
  + cuda-toolkit                  11.6.1  0                            nvidia/linux-64             1kB
  + cuda-tools                    11.6.1  0                            nvidia/linux-64             1kB
  + cuda-visual-tools             11.6.1  0                            nvidia/linux-64             1kB
  + cudatoolkit                   11.6.0  habf752d_9                   nvidia/linux-64           861MB
  + gds-tools                   1.5.0.59  0                            nvidia/linux-64            43MB
  + icu                             70.1  h27087fc_0                   conda-forge/linux-64       14MB
  + ld_impl_linux-64                2.39  hcc3a1bd_1                   conda-forge/linux-64     Cached
  + libblas                        3.9.0  16_linux64_mkl               conda-forge/linux-64       13kB
  + libcblas                       3.9.0  16_linux64_mkl               conda-forge/linux-64       13kB
  + libcublas                 11.9.2.110  h5e84587_0                   nvidia/linux-64           315MB
  + libcublas-dev             11.9.2.110  h5c901ab_0                   nvidia/linux-64           326MB
  + libcufft                  10.7.1.112  hf425ae0_0                   nvidia/linux-64            98MB
  + libcufft-dev              10.7.1.112  ha5ce4c0_0                   nvidia/linux-64           207MB
  + libcufile                   1.5.0.59  0                            nvidia/linux-64           772kB
  + libcufile-dev               1.5.0.59  0                            nvidia/linux-64            13kB
  + libcurand                  10.3.1.50  0                            nvidia/linux-64            54MB
  + libcurand-dev              10.3.1.50  0                            nvidia/linux-64           460kB
  + libcusolver               11.3.4.124  h33c3c4e_0                   nvidia/linux-64            91MB
  + libcusparse               11.7.2.124  h7538f96_0                   nvidia/linux-64           169MB
  + libcusparse-dev           11.7.2.124  hbbe9722_0                   nvidia/linux-64           345MB
  + libffi                         3.4.2  h7f98852_5                   conda-forge/linux-64     Cached
  + libgcc-ng                     12.2.0  h65d4601_19                  conda-forge/linux-64     Cached
  + libgfortran-ng                12.2.0  h69a702a_19                  conda-forge/linux-64       23kB
  + libgfortran5                  12.2.0  h337968e_19                  conda-forge/linux-64        2MB
  + libhwloc                       2.8.0  h32351e8_1                   conda-forge/linux-64        3MB
  + libiconv                        1.17  h166bdaf_0                   conda-forge/linux-64        1MB
  + liblapack                      3.9.0  16_linux64_mkl               conda-forge/linux-64       13kB
  + liblapacke                     3.9.0  16_linux64_mkl               conda-forge/linux-64       13kB
  + libnpp                    11.6.3.124  hd2722f0_0                   nvidia/linux-64           124MB
  + libnpp-dev                11.6.3.124  h3c42840_0                   nvidia/linux-64           121MB
  + libnsl                         2.0.0  h7f98852_0                   conda-forge/linux-64     Cached
  + libnvjpeg                 11.6.2.124  hd473ad6_0                   nvidia/linux-64             2MB
  + libnvjpeg-dev             11.6.2.124  hb5906b9_0                   nvidia/linux-64             2MB
  + libsqlite                     3.40.0  h753d276_0                   conda-forge/linux-64     Cached
  + libstdcxx-ng                  12.2.0  h46fd767_19                  conda-forge/linux-64     Cached
  + libuuid                       2.32.1  h7f98852_1000                conda-forge/linux-64     Cached
  + libxml2                       2.10.3  h7463322_0                   conda-forge/linux-64      773kB
  + libzlib                       1.2.13  h166bdaf_4                   conda-forge/linux-64     Cached
  + llvm-openmp                   15.0.6  he0ac6c6_0                   conda-forge/linux-64        3MB
  + mkl                         2022.1.0  h84fe81f_915                 conda-forge/linux-64      209MB
  + mkl-devel                   2022.1.0  ha770c72_916                 conda-forge/linux-64       26kB
  + mkl-include                 2022.1.0  h84fe81f_915                 conda-forge/linux-64      763kB
  + ncurses                          6.3  h27087fc_1                   conda-forge/linux-64     Cached
  + nsight-compute           2022.4.0.15  0                            nvidia/linux-64           801MB
  + openssl                        3.0.7  h0b41bf4_1                   conda-forge/linux-64     Cached
  + pip                           22.3.1  pyhd8ed1ab_0                 conda-forge/noarch       Cached
  + python                        3.8.15  h4a9ceb5_0_cpython           conda-forge/linux-64     Cached
  + pytorch                       1.13.0  py3.8_cuda11.6_cudnn8.3.2_0  pytorch/linux-64            1GB
  + pytorch-cuda                    11.6  h867d48c_1                   pytorch/noarch              3kB
  + pytorch-mutex                    1.0  cuda                         pytorch/noarch              3kB
  + readline                       8.1.2  h0f457ee_0                   conda-forge/linux-64     Cached
  + setuptools                    65.6.3  pyhd8ed1ab_0                 conda-forge/noarch       Cached
  + tbb                         2021.7.0  h924138e_1                   conda-forge/linux-64        2MB
  + tk                            8.6.12  h27826a3_0                   conda-forge/linux-64     Cached
  + typing_extensions              4.4.0  pyha770c72_0                 conda-forge/noarch         30kB
  + wheel                         0.38.4  pyhd8ed1ab_0                 conda-forge/noarch       Cached
  + xz                             5.2.6  h166bdaf_0                   conda-forge/linux-64     Cached

  Summary:

  Install: 91 packages

  Total download: 6GB

────────────────────────────────────────────────────────────────────────────────────────────────────────


Confirm changes: [Y/n]

However, note that when I install with pytorch::pytorch=*=*cuda*, the successfully built environment has only cudatoolkit and not cuda. Also, I have never needed to add the nvidia channel with conda (or with the successfully built mamba environment).

So it seems like there's a discrepancy here that still needs an explanation. Any thoughts?

@wolfv
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wolfv commented Jan 10, 2023

Not really, if the pytorch-cuda package depends on cuda, it depends on cuda. Could be that in the past they did things differently ... or that you got the cuda package from somewhere else (e.g. defaults channel?).

@wolfv wolfv closed this as completed Jan 10, 2023
@chebee7i
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I can say confidently that my previous environments did not have the cuda package explicitly installed. So maybe it's just a requirements change.

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@jonashaag @chebee7i @wolfv