Nightly download appears to be pointed to dev20211229

KFrank: <p>Hi All!</p>
<p>(This is not urgent for me.)</p>
<p>The nightly download link appears to be stale:</p>
<pre><code class="lang-nohighlight">(nightlyB) user@server:~/Documents/nn/misc$ conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch-nightly
...
The following NEW packages will be INSTALLED:
...
  pytorch            pytorch-nightly/linux-64::pytorch-1.11.0.dev20211229-py3.6_cuda10.2_cudnn7.6.5_0
</code></pre>
<p>I similarly got a dev20211229 version when attempting the download<br>
with “cudatoolkit=11.3.”</p>
<p>Best.</p>
<p>K. Frank</p>

ptrblck: <p>The latest CUDA 10.2 nightlies were created <a href="https://anaconda.org/pytorch-nightly/pytorch/1.12.0.dev20220406/download/linux-64/pytorch-1.12.0.dev20220406-py3.8_cuda10.2_cudnn7.6.5_0.tar.bz2">tonight</a> and based on your setup it seems your Python version might be too old.<br>
Python 3.6 had it’s EOL date at 23 Dec 2021 and the 3.6 support was thus dropped around December (the nightlies you are seeing might indeed be the last ones built for Python 3.6).</p>
<p>Update to 3.7 - 3.10 and it should work <img src="https://discuss.pytorch.org/images/emoji/apple/slight_smile.png?v=12" title=":slight_smile:" class="emoji" alt=":slight_smile:" loading="lazy" width="20" height="20"></p>
<pre><code class="lang-python">conda install pytorch cudatoolkit=10.2 -c pytorch-nightly
...
The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    blas-2.114                 |              mkl          13 KB  conda-forge
    blas-devel-3.9.0           |   14_linux64_mkl          12 KB  conda-forge
    cudatoolkit-10.2.89        |      h8f6ccaa_10       449.9 MB  conda-forge
    libblas-3.9.0              |   14_linux64_mkl          13 KB  conda-forge
    libcblas-3.9.0             |   14_linux64_mkl          12 KB  conda-forge
    libgfortran-ng-11.2.0      |      h69a702a_14          20 KB  conda-forge
    libgfortran5-11.2.0        |      h5c6108e_14         1.7 MB  conda-forge
    liblapack-3.9.0            |   14_linux64_mkl          12 KB  conda-forge
    liblapacke-3.9.0           |   14_linux64_mkl          12 KB  conda-forge
    pytorch-1.12.0.dev20220406 |py3.8_cuda10.2_cudnn7.6.5_0       620.7 MB  pytorch-nightly
    tbb-2021.5.0               |       h924138e_1         1.9 MB  conda-forge
    ------------------------------------------------------------
                                           Total:        1.05 GB
</code></pre>

KFrank: <p>Hi <a class="mention" href="/u/ptrblck">@ptrblck</a>!</p>
<aside class="quote no-group" data-username="ptrblck" data-post="2" data-topic="148501" data-full="true">
<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/ptrblck/48/1823_2.png" class="avatar"> ptrblck:</div>
<blockquote>
<p>The latest CUDA 10.2 nightlies were created <a href="https://anaconda.org/pytorch-nightly/pytorch/1.12.0.dev20220406/download/linux-64/pytorch-1.12.0.dev20220406-py3.8_cuda10.2_cudnn7.6.5_0.tar.bz2" rel="noopener nofollow ugc">tonight</a> and based on your setup it seems your Python version might be too old.</p>
</blockquote>
</aside>
<p>Something fishy was going on yesterday.</p>
<p>Anyway, today it works (although yesterday it didn’t), so I’m good.</p>
<p>Not that it matters, but for anyone interested, here are the fishiness<br>
details:</p>
<p>(The python 3.6 issue was a bit of a red herring – more detail at the end.)</p>
<p>I have python 3.9 installed.  (Note, this is in my conda environment “nightly.”<br>
Further below, I create a new conda environment, “nightlyB.”)</p>
<p>Here is what I ran yesterday (4/6/22):</p>
<pre><code class="lang-plaintext">user@server:~/Documents/nn/misc$ conda activate nightly
(nightly) user@server:~/Documents/nn/misc$ python
Python 3.9.5 (default, Jun  4 2021, 12:28:51)
[GCC 7.5.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
&gt;&gt;&gt; import torch
torch&gt;&gt;&gt; torch.__version__
'1.11.0.dev20220124'
&gt;&gt;&gt; quit()
(nightly) user@server:~/Documents/nn/misc$ conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch-nightly
Collecting package metadata (current_repodata.json): done
Solving environment: done


==&gt; WARNING: A newer version of conda exists. &lt;==
  current version: 4.10.3
  latest version: 4.12.0

Please update conda by running

    $ conda update -n base -c defaults conda



## Package Plan ##

  environment location: /home/user/miniconda3/envs/nightly

  added / updated specs:
    - cudatoolkit=11.3
    - pytorch
    - torchaudio
    - torchvision


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    ca-certificates-2022.3.29  |       h06a4308_0         117 KB
    openssl-1.1.1n             |       h7f8727e_0         2.5 MB
    ------------------------------------------------------------
                                           Total:         2.6 MB

The following packages will be UPDATED:

  ca-certificates                     2021.10.26-h06a4308_2 --&gt; 2022.3.29-h06a4308_0
  openssl                                 1.1.1m-h7f8727e_0 --&gt; 1.1.1n-h7f8727e_0


Proceed ([y]/n)? y


Downloading and Extracting Packages
ca-certificates-2022 | 117 KB    | ####################################### | 100%
openssl-1.1.1n       | 2.5 MB    | ####################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
</code></pre>
<p>So with python 3.9.5 and pytorch 1.11.0.dev20220124 installed,<br>
<code>conda install</code> did not upgrade pytorch to the latest nightly, presumably<br>
because it was seeing 1.11.0.dev20211229, which would have been a<br>
downgrade.</p>
<p>Here’s what happened when I reran <code>conda install</code> today (4/7/22):</p>
<pre><code class="lang-plaintext">(nightly) user@server:~$ python
Python 3.9.5 (default, Jun  4 2021, 12:28:51)
[GCC 7.5.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
&gt;&gt;&gt; quit()
(nightly) user@server:~$ conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch-nightly
Collecting package metadata (current_repodata.json): done
Solving environment: done


==&gt; WARNING: A newer version of conda exists. &lt;==
  current version: 4.10.3
  latest version: 4.12.0

Please update conda by running

    $ conda update -n base -c defaults conda



## Package Plan ##

  environment location: /home/user/miniconda3/envs/nightly

  added / updated specs:
    - cudatoolkit=11.3
    - pytorch
    - torchaudio
    - torchvision


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    pytorch-1.12.0.dev20220407 |py3.9_cuda11.3_cudnn8.3.2_0        1.18 GB  pytorch-nightly
    torchaudio-0.12.0.dev20220407|       py39_cu113         6.0 MB  pytorch-nightly
    torchvision-0.13.0.dev20220407|       py39_cu113         7.6 MB  pytorch-nightly
    ------------------------------------------------------------
                                           Total:        1.19 GB

The following packages will be UPDATED:

  pytorch            1.11.0.dev20220124-py3.9_cuda11.3_cud~ --&gt; 1.12.0.dev20220407-py3.9_cuda11.3_cudnn8.3.2_0
  torchaudio                  0.11.0.dev20220124-py39_cu113 --&gt; 0.12.0.dev20220407-py39_cu113
  torchvision                 0.12.0.dev20220124-py39_cu113 --&gt; 0.13.0.dev20220407-py39_cu113


Proceed ([y]/n)? n


CondaSystemExit: Exiting.
</code></pre>
<p>I didn’t proceed with the update, but:</p>
<pre><code class="lang-plaintext">  pytorch            1.11.0.dev20220124-py3.9_cuda11.3_cud~ --&gt; 1.12.0.dev20220407-py3.9_cuda11.3_cudnn8.3.2_0
  torchaudio                  0.11.0.dev20220124-py39_cu113 --&gt; 0.12.0.dev20220407-py39_cu113
  torchvision                 0.12.0.dev20220124-py39_cu113 --&gt; 0.13.0.dev20220407-py39_cu113
</code></pre>
<p>conda found the new nightlies (for python 3.9), and would have upgraded<br>
to them had I proceeded.</p>
<p>Some additional detail on the python 3.6 issue:</p>
<p>What I posted yesterday came from running <code>conda install</code> in a new conda<br>
environment, “nightlyB,” I had created that did not have python installed in it.<br>
Creating the new environment and running <code>conda install</code> yesterday:</p>
<pre><code class="lang-plaintext">user@server:~/Documents/nn/misc$ conda create --name nightlyB
Collecting package metadata (current_repodata.json): done
Solving environment: done


==&gt; WARNING: A newer version of conda exists. &lt;==
  current version: 4.10.3
  latest version: 4.12.0

Please update conda by running

    $ conda update -n base -c defaults conda



## Package Plan ##

  environment location: /home/user/miniconda3/envs/nightlyB



Proceed ([y]/n)? y

Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate nightlyB
#
# To deactivate an active environment, use
#
#     $ conda deactivate

user@server:~/Documents/nn/misc$ conda info --envs
# conda environments:
#
base                  *  /home/user/miniconda3
nightly                  /home/user/miniconda3/envs/nightly
nightlyB                 /home/user/miniconda3/envs/nightlyB

user@server:~/Documents/nn/misc$ conda activate nightlyB
(nightlyB) user@server:~/Documents/nn/misc$ conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch-nightly
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: done


==&gt; WARNING: A newer version of conda exists. &lt;==
  current version: 4.10.3
  latest version: 4.12.0

Please update conda by running

    $ conda update -n base -c defaults conda



## Package Plan ##

  environment location: /home/user/miniconda3/envs/nightlyB

  added / updated specs:
    - cudatoolkit=11.3
    - pytorch
    - torchaudio
    - torchvision


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    _libgcc_mutex-0.1          |             main           3 KB
    _openmp_mutex-4.5          |            1_gnu          22 KB
    blas-1.0                   |              mkl           6 KB
    brotlipy-0.7.0             |py36h27cfd23_1003         320 KB
    certifi-2021.5.30          |   py36h06a4308_0         139 KB
    cffi-1.14.6                |   py36h400218f_0         220 KB
    cryptography-35.0.0        |   py36hd23ed53_0         1.3 MB
    dataclasses-0.8            |     pyh4f3eec9_6          22 KB
    freetype-2.11.0            |       h70c0345_0         618 KB
    intel-openmp-2022.0.1      |    h06a4308_3633         4.2 MB
    jpeg-9d                    |       h7f8727e_0         232 KB
    libidn2-2.3.2              |       h7f8727e_0          81 KB
    libwebp-base-1.2.2         |       h7f8727e_0         440 KB
    lz4-c-1.9.3                |       h295c915_1         185 KB
    mkl-2020.2                 |              256       138.3 MB
    mkl-service-2.3.0          |   py36he8ac12f_0          52 KB
    mkl_fft-1.3.0              |   py36h54f3939_0         170 KB
    mkl_random-1.1.1           |   py36h0573a6f_0         327 KB
    ncurses-6.3                |       h7f8727e_2         782 KB
    numpy-1.19.2               |   py36h54aff64_0          22 KB
    numpy-base-1.19.2          |   py36hfa32c7d_0         4.1 MB
    olefile-0.46               |           py36_0          48 KB
    openh264-2.1.1             |       h4ff587b_0         711 KB
    pillow-8.2.0               |   py36he98fc37_0         627 KB
    pip-21.2.2                 |   py36h06a4308_0         1.8 MB
    pyopenssl-22.0.0           |     pyhd3eb1b0_0          50 KB
    pysocks-1.7.1              |   py36h06a4308_0          31 KB
    python-3.6.13              |       h12debd9_1        32.5 MB
    pytorch-1.11.0.dev20211229 |py3.6_cuda11.3_cudnn8.2.0_0        1.12 GB  pytorch-nightly
    pytorch-mutex-1.0          |             cuda           3 KB  pytorch-nightly
    readline-8.1.2             |       h7f8727e_1         354 KB
    setuptools-58.0.4          |   py36h06a4308_0         788 KB
    six-1.16.0                 |     pyhd3eb1b0_1          18 KB
    sqlite-3.38.2              |       hc218d9a_0         1.0 MB
    tk-8.6.11                  |       h1ccaba5_0         3.0 MB
    torchaudio-0.11.0.dev20211229|       py36_cu113         5.0 MB  pytorch-nightly
    torchvision-0.12.0.dev20211231|       py36_cu113        31.5 MB  pytorch-nightly
    typing_extensions-4.1.1    |     pyh06a4308_0          28 KB
    urllib3-1.26.8             |     pyhd3eb1b0_0         106 KB
    wheel-0.37.1               |     pyhd3eb1b0_0          33 KB
    zlib-1.2.11                |       h7f8727e_4         108 KB
    ------------------------------------------------------------
                                           Total:        1.34 GB

The following NEW packages will be INSTALLED:

  _libgcc_mutex      pkgs/main/linux-64::_libgcc_mutex-0.1-main
  _openmp_mutex      pkgs/main/linux-64::_openmp_mutex-4.5-1_gnu
  blas               pkgs/main/linux-64::blas-1.0-mkl
  brotlipy           pkgs/main/linux-64::brotlipy-0.7.0-py36h27cfd23_1003
  bzip2              pkgs/main/linux-64::bzip2-1.0.8-h7b6447c_0
  ca-certificates    pkgs/main/linux-64::ca-certificates-2022.3.29-h06a4308_0
  certifi            pkgs/main/linux-64::certifi-2021.5.30-py36h06a4308_0
  cffi               pkgs/main/linux-64::cffi-1.14.6-py36h400218f_0
  charset-normalizer pkgs/main/noarch::charset-normalizer-2.0.4-pyhd3eb1b0_0
  cryptography       pkgs/main/linux-64::cryptography-35.0.0-py36hd23ed53_0
  cudatoolkit        pkgs/main/linux-64::cudatoolkit-11.3.1-h2bc3f7f_2
  dataclasses        pkgs/main/noarch::dataclasses-0.8-pyh4f3eec9_6
  ffmpeg             pkgs/main/linux-64::ffmpeg-4.2.2-h20bf706_0
  freetype           pkgs/main/linux-64::freetype-2.11.0-h70c0345_0
  gmp                pkgs/main/linux-64::gmp-6.2.1-h2531618_2
  gnutls             pkgs/main/linux-64::gnutls-3.6.15-he1e5248_0
  idna               pkgs/main/noarch::idna-3.3-pyhd3eb1b0_0
  intel-openmp       pkgs/main/linux-64::intel-openmp-2022.0.1-h06a4308_3633
  jpeg               pkgs/main/linux-64::jpeg-9d-h7f8727e_0
  lame               pkgs/main/linux-64::lame-3.100-h7b6447c_0
  lcms2              pkgs/main/linux-64::lcms2-2.12-h3be6417_0
  ld_impl_linux-64   pkgs/main/linux-64::ld_impl_linux-64-2.35.1-h7274673_9
  libffi             pkgs/main/linux-64::libffi-3.3-he6710b0_2
  libgcc-ng          pkgs/main/linux-64::libgcc-ng-9.3.0-h5101ec6_17
  libgomp            pkgs/main/linux-64::libgomp-9.3.0-h5101ec6_17
  libidn2            pkgs/main/linux-64::libidn2-2.3.2-h7f8727e_0
  libopus            pkgs/main/linux-64::libopus-1.3.1-h7b6447c_0
  libpng             pkgs/main/linux-64::libpng-1.6.37-hbc83047_0
  libstdcxx-ng       pkgs/main/linux-64::libstdcxx-ng-9.3.0-hd4cf53a_17
  libtasn1           pkgs/main/linux-64::libtasn1-4.16.0-h27cfd23_0
  libtiff            pkgs/main/linux-64::libtiff-4.2.0-h85742a9_0
  libunistring       pkgs/main/linux-64::libunistring-0.9.10-h27cfd23_0
  libuv              pkgs/main/linux-64::libuv-1.40.0-h7b6447c_0
  libvpx             pkgs/main/linux-64::libvpx-1.7.0-h439df22_0
  libwebp-base       pkgs/main/linux-64::libwebp-base-1.2.2-h7f8727e_0
  lz4-c              pkgs/main/linux-64::lz4-c-1.9.3-h295c915_1
  mkl                pkgs/main/linux-64::mkl-2020.2-256
  mkl-service        pkgs/main/linux-64::mkl-service-2.3.0-py36he8ac12f_0
  mkl_fft            pkgs/main/linux-64::mkl_fft-1.3.0-py36h54f3939_0
  mkl_random         pkgs/main/linux-64::mkl_random-1.1.1-py36h0573a6f_0
  ncurses            pkgs/main/linux-64::ncurses-6.3-h7f8727e_2
  nettle             pkgs/main/linux-64::nettle-3.7.3-hbbd107a_1
  numpy              pkgs/main/linux-64::numpy-1.19.2-py36h54aff64_0
  numpy-base         pkgs/main/linux-64::numpy-base-1.19.2-py36hfa32c7d_0
  olefile            pkgs/main/linux-64::olefile-0.46-py36_0
  openh264           pkgs/main/linux-64::openh264-2.1.1-h4ff587b_0
  openssl            pkgs/main/linux-64::openssl-1.1.1n-h7f8727e_0
  pillow             pkgs/main/linux-64::pillow-8.2.0-py36he98fc37_0
  pip                pkgs/main/linux-64::pip-21.2.2-py36h06a4308_0
  pycparser          pkgs/main/noarch::pycparser-2.21-pyhd3eb1b0_0
  pyopenssl          pkgs/main/noarch::pyopenssl-22.0.0-pyhd3eb1b0_0
  pysocks            pkgs/main/linux-64::pysocks-1.7.1-py36h06a4308_0
  python             pkgs/main/linux-64::python-3.6.13-h12debd9_1
  pytorch            pytorch-nightly/linux-64::pytorch-1.11.0.dev20211229-py3.6_cuda11.3_cudnn8.2.0_0
  pytorch-mutex      pytorch-nightly/noarch::pytorch-mutex-1.0-cuda
  readline           pkgs/main/linux-64::readline-8.1.2-h7f8727e_1
  requests           pkgs/main/noarch::requests-2.27.1-pyhd3eb1b0_0
  setuptools         pkgs/main/linux-64::setuptools-58.0.4-py36h06a4308_0
  six                pkgs/main/noarch::six-1.16.0-pyhd3eb1b0_1
  sqlite             pkgs/main/linux-64::sqlite-3.38.2-hc218d9a_0
  tk                 pkgs/main/linux-64::tk-8.6.11-h1ccaba5_0
  torchaudio         pytorch-nightly/linux-64::torchaudio-0.11.0.dev20211229-py36_cu113
  torchvision        pytorch-nightly/linux-64::torchvision-0.12.0.dev20211231-py36_cu113
  typing_extensions  pkgs/main/noarch::typing_extensions-4.1.1-pyh06a4308_0
  urllib3            pkgs/main/noarch::urllib3-1.26.8-pyhd3eb1b0_0
  wheel              pkgs/main/noarch::wheel-0.37.1-pyhd3eb1b0_0
  x264               pkgs/main/linux-64::x264-1!157.20191217-h7b6447c_0
  xz                 pkgs/main/linux-64::xz-5.2.5-h7b6447c_0
  zlib               pkgs/main/linux-64::zlib-1.2.11-h7f8727e_4
  zstd               pkgs/main/linux-64::zstd-1.4.9-haebb681_0


Proceed ([y]/n)? n


CondaSystemExit: Exiting.
</code></pre>
<p>Again, I did not proceed with the install, but, extracting the relevant lines,<br>
we see that <code>conda install</code> would have installed python 3.6 and the old<br>
pytorch pytorch-1.11.0.dev20211229 nightly:</p>
<pre><code class="lang-plaintext">  python             pkgs/main/linux-64::python-3.6.13-h12debd9_1
  pytorch            pytorch-nightly/linux-64::pytorch-1.11.0.dev20211229-py3.6_cuda11.3_cudnn8.2.0_0
</code></pre>
<p>Also, verifying that nightlyB did not have python installed:</p>
<pre><code class="lang-plaintext">user@server:~$ conda activate nightlyB
(nightlyB) user@server:~$ python

Command 'python' not found, did you mean:

  command 'python3' from deb python3
  command 'python' from deb python-is-python3
</code></pre>
<p>When I reran this today, conda proposed installing python 3.9 and the<br>
new pytorch:</p>
<pre><code class="lang-plaintext">user@server:~$ conda activate nightlyB
(nightlyB) user@server:~$ python

Command 'python' not found, did you mean:

  command 'python3' from deb python3
  command 'python' from deb python-is-python3

(nightlyB) user@server:~$ conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch-nightly
Collecting package metadata (current_repodata.json): done
Solving environment: done


==&gt; WARNING: A newer version of conda exists. &lt;==
  current version: 4.10.3
  latest version: 4.12.0

Please update conda by running

    $ conda update -n base -c defaults conda



## Package Plan ##

  environment location: /home/user/miniconda3/envs/nightlyB

  added / updated specs:
    - cudatoolkit=11.3
    - pytorch
    - torchaudio
    - torchvision


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    _libgcc_mutex-0.1          |             main           3 KB
    _openmp_mutex-4.5          |            1_gnu          22 KB
    blas-1.0                   |              mkl           6 KB
    freetype-2.11.0            |       h70c0345_0         618 KB
    giflib-5.2.1               |       h7b6447c_0          78 KB
    intel-openmp-2021.4.0      |    h06a4308_3561         4.2 MB
    jpeg-9d                    |       h7f8727e_0         232 KB
    libidn2-2.3.2              |       h7f8727e_0          81 KB
    libwebp-1.2.2              |       h55f646e_0          80 KB
    libwebp-base-1.2.2         |       h7f8727e_0         440 KB
    lz4-c-1.9.3                |       h295c915_1         185 KB
    mkl-2021.4.0               |     h06a4308_640       142.6 MB
    mkl-service-2.4.0          |   py39h7f8727e_0          59 KB
    mkl_fft-1.3.1              |   py39hd3c417c_0         182 KB
    mkl_random-1.2.2           |   py39h51133e4_0         309 KB
    ncurses-6.3                |       h7f8727e_2         782 KB
    numpy-1.21.2               |   py39h20f2e39_0          23 KB
    numpy-base-1.21.2          |   py39h79a1101_0         4.9 MB
    openh264-2.1.1             |       h4ff587b_0         711 KB
    pillow-9.0.1               |   py39h22f2fdc_0         669 KB
    pip-21.2.4                 |   py39h06a4308_0         1.8 MB
    pyopenssl-22.0.0           |     pyhd3eb1b0_0          50 KB
    python-3.9.12              |       h12debd9_0        19.1 MB
    pytorch-1.12.0.dev20220407 |py3.9_cuda11.3_cudnn8.3.2_0        1.18 GB  pytorch-nightly
    pytorch-mutex-1.0          |             cuda           3 KB  pytorch-nightly
    readline-8.1.2             |       h7f8727e_1         354 KB
    setuptools-58.0.4          |   py39h06a4308_0         790 KB
    six-1.16.0                 |     pyhd3eb1b0_1          18 KB
    sqlite-3.38.2              |       hc218d9a_0         1.0 MB
    tk-8.6.11                  |       h1ccaba5_0         3.0 MB
    torchaudio-0.12.0.dev20220407|       py39_cu113         6.0 MB  pytorch-nightly
    torchvision-0.13.0.dev20220407|       py39_cu113         7.6 MB  pytorch-nightly
    typing_extensions-4.1.1    |     pyh06a4308_0          28 KB
    tzdata-2022a               |       hda174b7_0         109 KB
    urllib3-1.26.8             |     pyhd3eb1b0_0         106 KB
    wheel-0.37.1               |     pyhd3eb1b0_0          33 KB
    zlib-1.2.11                |       h7f8727e_4         108 KB
    ------------------------------------------------------------
                                           Total:        1.37 GB

The following NEW packages will be INSTALLED:

  _libgcc_mutex      pkgs/main/linux-64::_libgcc_mutex-0.1-main
  _openmp_mutex      pkgs/main/linux-64::_openmp_mutex-4.5-1_gnu
  blas               pkgs/main/linux-64::blas-1.0-mkl
  brotlipy           pkgs/main/linux-64::brotlipy-0.7.0-py39h27cfd23_1003
  bzip2              pkgs/main/linux-64::bzip2-1.0.8-h7b6447c_0
  ca-certificates    pkgs/main/linux-64::ca-certificates-2022.3.29-h06a4308_0
  certifi            pkgs/main/linux-64::certifi-2021.10.8-py39h06a4308_2
  cffi               pkgs/main/linux-64::cffi-1.15.0-py39hd667e15_1
  charset-normalizer pkgs/main/noarch::charset-normalizer-2.0.4-pyhd3eb1b0_0
  cryptography       pkgs/main/linux-64::cryptography-36.0.0-py39h9ce1e76_0
  cudatoolkit        pkgs/main/linux-64::cudatoolkit-11.3.1-h2bc3f7f_2
  ffmpeg             pkgs/main/linux-64::ffmpeg-4.2.2-h20bf706_0
  freetype           pkgs/main/linux-64::freetype-2.11.0-h70c0345_0
  giflib             pkgs/main/linux-64::giflib-5.2.1-h7b6447c_0
  gmp                pkgs/main/linux-64::gmp-6.2.1-h2531618_2
  gnutls             pkgs/main/linux-64::gnutls-3.6.15-he1e5248_0
  idna               pkgs/main/noarch::idna-3.3-pyhd3eb1b0_0
  intel-openmp       pkgs/main/linux-64::intel-openmp-2021.4.0-h06a4308_3561
  jpeg               pkgs/main/linux-64::jpeg-9d-h7f8727e_0
  lame               pkgs/main/linux-64::lame-3.100-h7b6447c_0
  lcms2              pkgs/main/linux-64::lcms2-2.12-h3be6417_0
  ld_impl_linux-64   pkgs/main/linux-64::ld_impl_linux-64-2.35.1-h7274673_9
  libffi             pkgs/main/linux-64::libffi-3.3-he6710b0_2
  libgcc-ng          pkgs/main/linux-64::libgcc-ng-9.3.0-h5101ec6_17
  libgomp            pkgs/main/linux-64::libgomp-9.3.0-h5101ec6_17
  libidn2            pkgs/main/linux-64::libidn2-2.3.2-h7f8727e_0
  libopus            pkgs/main/linux-64::libopus-1.3.1-h7b6447c_0
  libpng             pkgs/main/linux-64::libpng-1.6.37-hbc83047_0
  libstdcxx-ng       pkgs/main/linux-64::libstdcxx-ng-9.3.0-hd4cf53a_17
  libtasn1           pkgs/main/linux-64::libtasn1-4.16.0-h27cfd23_0
  libtiff            pkgs/main/linux-64::libtiff-4.2.0-h85742a9_0
  libunistring       pkgs/main/linux-64::libunistring-0.9.10-h27cfd23_0
  libuv              pkgs/main/linux-64::libuv-1.40.0-h7b6447c_0
  libvpx             pkgs/main/linux-64::libvpx-1.7.0-h439df22_0
  libwebp            pkgs/main/linux-64::libwebp-1.2.2-h55f646e_0
  libwebp-base       pkgs/main/linux-64::libwebp-base-1.2.2-h7f8727e_0
  lz4-c              pkgs/main/linux-64::lz4-c-1.9.3-h295c915_1
  mkl                pkgs/main/linux-64::mkl-2021.4.0-h06a4308_640
  mkl-service        pkgs/main/linux-64::mkl-service-2.4.0-py39h7f8727e_0
  mkl_fft            pkgs/main/linux-64::mkl_fft-1.3.1-py39hd3c417c_0
  mkl_random         pkgs/main/linux-64::mkl_random-1.2.2-py39h51133e4_0
  ncurses            pkgs/main/linux-64::ncurses-6.3-h7f8727e_2
  nettle             pkgs/main/linux-64::nettle-3.7.3-hbbd107a_1
  numpy              pkgs/main/linux-64::numpy-1.21.2-py39h20f2e39_0
  numpy-base         pkgs/main/linux-64::numpy-base-1.21.2-py39h79a1101_0
  openh264           pkgs/main/linux-64::openh264-2.1.1-h4ff587b_0
  openssl            pkgs/main/linux-64::openssl-1.1.1n-h7f8727e_0
  pillow             pkgs/main/linux-64::pillow-9.0.1-py39h22f2fdc_0
  pip                pkgs/main/linux-64::pip-21.2.4-py39h06a4308_0
  pycparser          pkgs/main/noarch::pycparser-2.21-pyhd3eb1b0_0
  pyopenssl          pkgs/main/noarch::pyopenssl-22.0.0-pyhd3eb1b0_0
  pysocks            pkgs/main/linux-64::pysocks-1.7.1-py39h06a4308_0
  python             pkgs/main/linux-64::python-3.9.12-h12debd9_0
  pytorch            pytorch-nightly/linux-64::pytorch-1.12.0.dev20220407-py3.9_cuda11.3_cudnn8.3.2_0
  pytorch-mutex      pytorch-nightly/noarch::pytorch-mutex-1.0-cuda
  readline           pkgs/main/linux-64::readline-8.1.2-h7f8727e_1
  requests           pkgs/main/noarch::requests-2.27.1-pyhd3eb1b0_0
  setuptools         pkgs/main/linux-64::setuptools-58.0.4-py39h06a4308_0
  six                pkgs/main/noarch::six-1.16.0-pyhd3eb1b0_1
  sqlite             pkgs/main/linux-64::sqlite-3.38.2-hc218d9a_0
  tk                 pkgs/main/linux-64::tk-8.6.11-h1ccaba5_0
  torchaudio         pytorch-nightly/linux-64::torchaudio-0.12.0.dev20220407-py39_cu113
  torchvision        pytorch-nightly/linux-64::torchvision-0.13.0.dev20220407-py39_cu113
  typing_extensions  pkgs/main/noarch::typing_extensions-4.1.1-pyh06a4308_0
  tzdata             pkgs/main/noarch::tzdata-2022a-hda174b7_0
  urllib3            pkgs/main/noarch::urllib3-1.26.8-pyhd3eb1b0_0
  wheel              pkgs/main/noarch::wheel-0.37.1-pyhd3eb1b0_0
  x264               pkgs/main/linux-64::x264-1!157.20191217-h7b6447c_0
  xz                 pkgs/main/linux-64::xz-5.2.5-h7b6447c_0
  zlib               pkgs/main/linux-64::zlib-1.2.11-h7f8727e_4
  zstd               pkgs/main/linux-64::zstd-1.4.9-haebb681_0


Proceed ([y]/n)? n


CondaSystemExit: Exiting.
</code></pre>
<p>we see (again extracting the relevant lines) that conda proposed installing<br>
python 3.9 and the latest pytorch 1.12.0.dev20220407 nightly:</p>
<pre><code class="lang-plaintext">  python             pkgs/main/linux-64::python-3.9.12-h12debd9_0
  pytorch            pytorch-nightly/linux-64::pytorch-1.12.0.dev20220407-py3.9_cuda11.3_cudnn8.3.2_0
</code></pre>
<p>Again, it works today, so things are fine for me, but yesterday it appears<br>
that the pytorch nightly link was stuck somehow in 2021.</p>
<p>Best.</p>
<p>K. Frank</p>