Your installed version is: not available

username: naychelynn
cooked: <p>Hello!<br>
While I made installation to the required packages, the torch, einops, etc are properly installed. However, the OpenCV and tensorboardX packages cannot be installed well.<br>
It shows that the environment is inconsistent and displays some packages causing the inconsistency. Then it takes a long time for solving the environment but at the end, it shows the message “Your installed version is: not available”.<br>
I first installed the anaconda 2022.5 version but I installed again the anaconda with the 2021.11 version from the beginning but I can’t install these OpenCV and tensorboardX.<br>
Any suggestions and comments are warmly welcome.<br>
Thanks in advance!<br>
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username: ptrblck
cooked: <p>Are you using a new and empty conda environment while trying to install these packages?<br>
If not, create one via <code>conda create -n env_name python=3.8</code> and try to install them there.<br>
I’m not a Windows expert so I don’t quite understand why the conflicts show OSX packages.<br>
Also, I don’t think you need <code>tensorboardX</code> anymore, as the “standard” <code>tensorboard</code> should also work. Try to install it and see if this might help resolving the conflicts.</p>

username: naychelynn
cooked: <aside class="quote no-group" data-username="ptrblck" data-post="2" data-topic="159132">
<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>conda create -n env_name python=3.8</p>
</blockquote>
</aside>
<p>Thank you so much for your suggestion, Sir.<br>
I’ve also another environment and in that env, I’ve found the previous problem of CUDA is not available.<br>
But now, I created one new env and I install some necessary packages. After that, I found the cuda not available problem like previous. At the same time, I remember to restart the machine as you suggested in my previous post, then cuda becomes available.</p>
<p>For the tensorboardX, I’m trying without it as you suggested.</p>
<p>Thanks again for your advice.</p>