<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>Bing: Pytorch Data Loader Format</title><link>http://www.bing.com:80/search?q=Pytorch+Data+Loader+Format</link><description>Search results</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>Pytorch Data Loader Format</title><link>http://www.bing.com:80/search?q=Pytorch+Data+Loader+Format</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>Tue, 14 Apr 2026 04:41:00 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>Sat, 11 Apr 2026 18:28:00 GMT</pubDate></item><item><title>Availability of a PyTorch version compatible with CUDA 12.6</title><link>https://forums.developer.nvidia.com/t/availability-of-a-pytorch-version-compatible-with-cuda-12-6/317770</link><description>Is there any pytorch and cuda version that supports deepstream version 7.1 and JetPack version R36 ?</description><pubDate>Wed, 15 Apr 2026 00:44:00 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>Mon, 13 Apr 2026 01:08:00 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>PyTorch PyPi To use PyTorch natively on Windows with Blackwell, a PyTorch build with CUDA 12.8 is required. PyTorch will provide the builds soon. For a list of the latest available releases, refer to the Pytorch documentation. To use PyTorch for Linux x86_64 on NVIDIA Blackwell RTX GPUs use the latest nightly builds, or the command below. unset</description><pubDate>Tue, 14 Apr 2026 14:35:00 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>Sun, 12 Apr 2026 03:46:00 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>Tue, 14 Apr 2026 11:29:00 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>Sun, 12 Apr 2026 18:05:00 GMT</pubDate></item><item><title>Pytorch packages for Jetpack 6.1 - NVIDIA Developer Forums</title><link>https://forums.developer.nvidia.com/t/pytorch-packages-for-jetpack-6-1/309084</link><description>Hi. I recently installed a latest jetpack version 6.1 and I installed pytorch 2.5 by following the instruction provided by Nvidia, but I am not able to find the torchvision version for pytorch. Can someone please help in…</description><pubDate>Mon, 13 Apr 2026 16:45:00 GMT</pubDate></item><item><title>PyTorch for Jetson - Announcements - NVIDIA Developer Forums</title><link>https://forums.developer.nvidia.com/t/pytorch-for-jetson/72048</link><description>Below are pre-built PyTorch pip wheel installers for Jetson Nano, TX1/TX2, Xavier, and Orin with JetPack 4.2 and newer. Download one of the PyTorch binaries from below for your version of JetPack, and see the installation instructions to run on your Jetson. These pip wheels are built for ARM aarch64 architecture, so run these commands on your Jetson (not on a host PC). You can also use the ...</description><pubDate>Thu, 26 Mar 2026 16:02:00 GMT</pubDate></item></channel></rss>