RTX 5070Ti GPU and CUDA error

vippandavodanh: <p>Hello,</p>
<p>I recently tried to run RFantibody on my computer, and got the following errors. RFantibody was designed to run in a Docker container. Does anyone know how to fix this? I tried ChatGPT, but that did not help at all. Really appreciate any input. If you need more information please let me know.</p>
<p>NVIDIA GeForce RTX 5070 Ti with CUDA capability sm_120 is not compatible with the current PyTorch installation.<br>
The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_37 sm_90.<br>
If you want to use the NVIDIA GeForce RTX 5070 Ti GPU with PyTorch, please check the instructions at <a href="https://pytorch.org/get-started/locally/" rel="noopener nofollow ugc">https://pytorch.org/get-started/locally/</a></p>
<p>RuntimeError: CUDA error: no kernel image is available for execution on the device<br>
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.<br>
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.<br>
Compile with <code>TORCH_USE_CUDA_DSA</code> to enable device-side assertions</p>

ptrblck: <p>You need to install a PyTorch binary with CUDA 12.8 runtime dependencies for Blackwell support.</p>

vippandavodanh: <p><div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/3/e/3e770b186147b6817745103e07327a89809c152d.png" data-download-href="https://discuss.pytorch.org/uploads/default/3e770b186147b6817745103e07327a89809c152d" title="image"><img src="https://discuss.pytorch.org/uploads/default/original/3X/3/e/3e770b186147b6817745103e07327a89809c152d.png" alt="image" data-base62-sha1="8UAErD48Bp6QzHdLeNP2sygVy6V" width="374" height="500" data-dominant-color="242424"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">711×949 32.9 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>
<p>I changed my pyproject file and setup file to something like this, and I keep getting this error: “Because rfantibody depends on torch (2.4.0) which doesn’t match any versions, version solving failed.”</p>
<p>I think the problem lies in the versions of dgl and torch, but I do not know much about coding and just want to set up this model for my application. Thanks for all the help.</p>

vippandavodanh: <p><div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/e/e/ee59862f99097e43713c9a7671fde5d3e93a6254.png" data-download-href="https://discuss.pytorch.org/uploads/default/ee59862f99097e43713c9a7671fde5d3e93a6254" title="image"><img src="https://discuss.pytorch.org/uploads/default/original/3X/e/e/ee59862f99097e43713c9a7671fde5d3e93a6254.png" alt="image" data-base62-sha1="y0xrrmJrWvixVxU2AFZAjKnrfuY" width="690" height="397" data-dominant-color="232322"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">857×494 20.7 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>

ptrblck: <aside class="quote no-group" data-username="vippandavodanh" data-post="3" data-topic="220782">
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<img alt="" width="24" height="24" src="https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/vippandavodanh/48/77349_2.png" class="avatar"> vippandavodanh:</div>
<blockquote>
<p>“Because rfantibody depends on torch (2.4.0) which doesn’t match any versions, version solving failed.”</p>
</blockquote>
</aside>
<p>You need to install PyTorch &gt;= 2.7.0 with CUDA 12.8 (or a nightly binary created after ~Feb. 2025) to support your Blackwell GPU. I don’t know what <code>rfantibody</code> is but you won’t be able to run any application on your 5070Ti with PyTorch 2.4.0.</p>