optix pytorch

对于optix pytorch的问题，根据提供的引用内容，我们可以看到有关PyTorch和CUDA版本的讨论。根据引用中的安装命令，你可以按照指定的版本重新安装PyTorch，以确保与你的CUDA版本兼容。引用提到当前的PyTorch版本依赖的CUDA版本不支持算力8.6，因此需要更新PyTorch。而引用中的安装过程也提到了CUDA的版本问题。这些引用内容提供了更新PyTorch和CUDA版本的方案，以确保optix pytorch的正常运行。请注意，以上提供的引用内容仅供参考，请根据你的具体情况进行操作。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [显卡RTX 3090运行pytorch报错CUDA error: no kernel image is available for execution on the device](https://blog.csdn.net/CallMeYunzi/article/details/112505151)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
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- *3* [cuda的卸载与重新安装](https://blog.csdn.net/weixin_41012399/article/details/120060099)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
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