<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>Bing: Pytorch Tensorflow Papers</title><link>http://www.bing.com:80/search?q=Pytorch+Tensorflow+Papers</link><description>Search results</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>Pytorch Tensorflow Papers</title><link>http://www.bing.com:80/search?q=Pytorch+Tensorflow+Papers</link></image><copyright>Copyright © 2026 Microsoft. All rights reserved. These XML results may not be used, reproduced or transmitted in any manner or for any purpose other than rendering Bing results within an RSS aggregator for your personal, non-commercial use. Any other use of these results requires express written permission from Microsoft Corporation. By accessing this web page or using these results in any manner whatsoever, you agree to be bound by the foregoing restrictions.</copyright><item><title>What is the command to install pytorch with cuda 12.8?</title><link>https://stackoverflow.com/questions/79537819/what-is-the-command-to-install-pytorch-with-cuda-12-8</link><description>as of now, pytorch which supports cuda 12.8 is not released yet. but unofficial support released nightly version of it. here are the commands to install it. so with this pytorch version you can use it on rtx 50XX. I've got 5080 and it works just fine.</description><pubDate>Thu, 02 Apr 2026 22:42:00 GMT</pubDate></item><item><title>Software Migration Guide for NVIDIA Blackwell RTX GPUs: A Guide to CUDA ...</title><link>https://forums.developer.nvidia.com/t/software-migration-guide-for-nvidia-blackwell-rtx-gpus-a-guide-to-cuda-12-8-pytorch-tensorrt-and-llama-cpp/321330</link><description>WSL 2 For the best experience, we recommend using PyTorch in a Linux environment as a native OS or through WSL 2 in Windows. To start with WSL 2 on Windows, refer to Install WSL 2 and Using NVIDIA GPUs with WSL2. Docker For Day 0 support, we offer a pre-packed container containing PyTorch with CUDA 12.8 to enable Blackwell GPUs.</description><pubDate>Thu, 02 Apr 2026 06:14:00 GMT</pubDate></item><item><title>PyTorch not recognizing RTX 5090 (sm_120) on Windows 11 - Stack Overflow</title><link>https://stackoverflow.com/questions/79833972/pytorch-not-recognizing-rtx-5090-sm-120-on-windows-11-cuda-error-no-kernel</link><description>I'm trying to use PyTorch with an NVIDIA GeForce RTX 5090 (Blackwell architecture, CUDA Compute Capability sm_120) on Windows 11, and I keep running into compatibility issues. PyTorch detects CUDA,...</description><pubDate>Mon, 30 Mar 2026 12:09:00 GMT</pubDate></item><item><title>How to install Pytorch with CUDA support using conda?</title><link>https://stackoverflow.com/questions/76376486/how-to-install-pytorch-with-cuda-support-using-conda</link><description>The cuda-pytorch installation line is the one provided by the OP (conda install pytorch -c pytorch -c nvidia), but it's reaaaaally common that cuda support gets broken when upgrading many-other libraries, and most of the time it just gets fixed by reinstalling it (as Blake pointed out).</description><pubDate>Thu, 02 Apr 2026 20:05:00 GMT</pubDate></item><item><title>python - Cannot import Pytorch [WinError 126] The specified module ...</title><link>https://stackoverflow.com/questions/61488902/cannot-import-pytorch-winerror-126-the-specified-module-could-not-be-found</link><description>I'm trying to do a basic install and import of Pytorch/Torchvision on Windows 10. I installed a Anaconda and created a new virtual environment named photo. I opened Anaconda prompt, activated the</description><pubDate>Tue, 31 Mar 2026 01:09:00 GMT</pubDate></item><item><title>Is there a way to install pytorch on python 3.12.0?</title><link>https://stackoverflow.com/questions/77225812/is-there-a-way-to-install-pytorch-on-python-3-12-0</link><description>Is there a way to install pytorch on python 3.12.0? Asked 2 years, 6 months ago Modified 1 year, 11 months ago Viewed 55k times</description><pubDate>Thu, 02 Apr 2026 20:05:00 GMT</pubDate></item><item><title>Effective PyTorch and CUDA - NVIDIA Developer Forums</title><link>https://forums.developer.nvidia.com/t/effective-pytorch-and-cuda/348230</link><description>markl02us, consider using Pytorch containers from GPU-optimized AI, Machine Learning, &amp; HPC Software | NVIDIA NGC It is the same Pytorch image that our CSP and enterprise customers use, regulary updated with security patches, support for new platforms, and tested/validated with library dependencies. Which allows you to just build.</description><pubDate>Mon, 30 Mar 2026 07:22:00 GMT</pubDate></item><item><title>RTX 5070 not detected by CUDA / PyTorch (no kernel image available, GPU ...</title><link>https://forums.developer.nvidia.com/t/rtx-5070-not-detected-by-cuda-pytorch-no-kernel-image-available-gpu-not-usable-for-ai-frameworks/359209</link><description>Hello NVIDIA team, I recently installed a NVIDIA GeForce RTX 5070 on a Windows system. The GPU is correctly detected by Windows and Device Manager, but it is not usable in CUDA-based frameworks. System details: OS: Windows 10 / 11 (64-bit) GPU: NVIDIA GeForce RTX 5070 Driver: latest available Game Ready / Studio driver CUDA Toolkit: latest available version Frameworks affected: PyTorch ComfyUI ...</description><pubDate>Fri, 03 Apr 2026 09:05:00 GMT</pubDate></item><item><title>python - install pytorch for cuda 12.6 - Stack Overflow</title><link>https://stackoverflow.com/questions/79351470/install-pytorch-for-cuda-12-6</link><description>how to install pytorch for cuda 12.6? it is available till 12.4. but when I install 12.4, it installed. but it is showing kernel restarting issue in jupyter notebook. please help.</description><pubDate>Wed, 01 Apr 2026 15:05:00 GMT</pubDate></item><item><title>RTX 5090 not working with PyTorch and Stable Diffusion (sm_120 ...</title><link>https://forums.developer.nvidia.com/t/rtx-5090-not-working-with-pytorch-and-stable-diffusion-sm-120-unsupported/338015</link><description>Hello, I recently purchased a laptop with an Hello, I recently purchased a laptop with an RTX 5090 GPU (Blackwell architecture), but unfortunately, it’s not usable with PyTorch-based frameworks like Stable Diffusion or ComfyUI. The current PyTorch builds do not support CUDA capability sm_120 yet, which results in errors or CPU-only fallback. This is extremely disappointing for those of us ...</description><pubDate>Wed, 01 Apr 2026 19:44:00 GMT</pubDate></item></channel></rss>