Rtx 5090 Error with nightly cu128 install

Marked: <p>Running into a bit of a issue here and hoping someone with more experience can assist or shed some light on a solution with a 5090 to get working for training.</p>
<p>Clean install of Windows 11. Running python-3.10.9 with Cuda 12.8 installed minus Nsight Compute because it keeps failing the install if that is checked in the Cuda download exe.</p>
<p>When trying to run: “pip3 install --pre torch torchvision torchaudio --index-url <a href="https://download.pytorch.org/whl/nightly/cu128" rel="noopener nofollow ugc">https://download.pytorch.org/whl/nightly/cu128</a>” throws the error “Could not find a version that satisfies the requirement torchaudio (from versions: none)” and “ERROR: No matching distribution found for torchaudio”</p>
<p>I had to downgrade pip to 20.0.2 to even get the above to even consider downloading it. I am trying to get LoRA_Easy_Training_Scripts working again, but it throws a error of “NVIDIA GeForce RTX 5090 with CUDA capability sm_120 is not compatible with the current PyTorch installation.The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_61 sm_70 sm_75 sm_80 sm_86 sm_90.” Which all points to getting the nightly build installed to get it to work I am assuming.</p>
<p>Any help would be greatly appreciated since I am not the most knowledgeable on what workaround I should be trying</p>

ptrblck: <p>Remove <code>torchaudio</code> from the install command or install a CPU-only binary (I don’t even know if <code>torchaudio</code> ships with custom CUDA kernels) as the current nightly builds fails for all Windows releases.</p>

nafe_alhmdan: <p>rtx 5090<br>
pip3 install --pre torch torchvision torchaudio --index-url <a href="https://download.pytorch.org/whl/nightly/cu128" rel="noopener nofollow ugc">https://download.pytorch.org/whl/nightly/cu128</a> If you download the program<br>
replay<br>
Nvidia rvc<br>
it will work because I tried but it didn’t work</p>

nafe_alhmdan: <p>The problem is with the card or with Nvidia. Where is the problem?</p>

nafe_alhmdan: <p>rtx 5090<br>
I used the old 4070 card again. Honestly, it’s a shame that the card is expensive. It doesn’t work on any program that changes the sound.</p>

Marked: <p>I had much the same experience as Nafe. I got it working mostly in the end, but not enough to train with. Shame really to put the 4090 back in, but I cannot have downtime at the moment. Will come back around to it when the dust settles so-to-speak</p>

ptrblck: <p>The nightly binaries work and we would need to get more information besides conflicting statements such as:</p>
<aside class="quote no-group" data-username="nafe_alhmdan" data-post="3" data-topic="217478">
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<img alt="" width="24" height="24" src="https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/nafe_alhmdan/48/75984_2.png" class="avatar"> nafe_alhmdan:</div>
<blockquote>
<p>it will work because I tried but it didn’t work</p>
</blockquote>
</aside>
<p>And</p>
<aside class="quote no-group" data-username="Marked" data-post="6" data-topic="217478">
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<img alt="" width="24" height="24" src="https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/marked/48/74882_2.png" class="avatar"> Marked:</div>
<blockquote>
<p>I had much the same experience as Nafe</p>
</blockquote>
</aside>

randscott: <p>I had a local ai working after doing a build with an AI helping but lost the build somehow. I have win11 pro, rtx5090, ryzen 9950, 128gb ram, I get the same error trying to use nightly with python 11.9, using Nvidia latest ver, May have been using a cuda toolkit version when I had it working but not 100% sure, it could have been a game ready driver version.  Any help would be nice, thanks.</p>