# PyTorch Release 2.4.0 - Final RC is available **URL:** \ **Category:** Release Announcements\ **Created:** [July 3, 2024, 5:49pm UTC](https://dev-discuss.pytorch.org/t/pytorch-release-2-4-0-final-rc-is-available/2213 "2024-07-03T17:49:22Z")\ **Posts on this page:** 7\ **Page:** 1
**Author:** ![atalman](https://yyz2.discourse-cdn.com/flex036/user_avatar/dev-discuss.pytorch.org/atalman/32/1857_2.png) [@atalman](https://dev-discuss.pytorch.org/u/atalman)\ **Post date:** [July 3, 2024, 5:49pm UTC](https://dev-discuss.pytorch.org/t/pytorch-release-2-4-0-final-rc-is-available/2213/1 "2024-07-03T17:49:22Z")
Final 2.4.0 RC for PyTorch core and Domain Libraries is available for download from `pytorch-test` channel. Reminder of key dates: - M5: External-Facing Content Finalized (7/19/24) - M6: Release Day (7/24/24) List of Issues included in the Patch Release 2.4.0 can be found here: [2.4.0 Milestone](https://github.com/pytorch/pytorch/milestone/46?closed=1) Cherry-Picks included in the Patch Release 2.4.0 can be found here: [[v2.4.0] Release Tracker](https://github.com/pytorch/pytorch/issues/128436) Following are instructions on how to download different versions of RC for testing. CONDA CPU Windows/Linux: `conda install pytorch=2.4.0 torchvision torchaudio cpuonly -c pytorch-test` MacOS: `conda install pytorch=2.4.0 torchvision torchaudio -c pytorch-test` CUDA Windows/Linux: `conda install pytorch=2.4.0 torchvision torchaudio pytorch-cuda=11.8 -c pytorch-test -c nvidia` `conda install pytorch=2.4.0 torchvision torchaudio pytorch-cuda=12.1 -c pytorch-test -c nvidia` `conda install pytorch=2.4.0 torchvision torchaudio pytorch-cuda=12.4 -c pytorch-test -c nvidia` PIP CPU: Windows/Linux/MacOS: `pip3 install torch==2.4.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cpu` PIP CUDA: Windows/Linux: `pip3 install torch==2.4.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu118` `pip3 install torch==2.4.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu121` `pip3 install torch==2.4.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu124` PIP ROCM 6.1: `pip3 install torch==2.4.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/rocm6.1` PIP Linux Aarch64 `pip3 install torch==2.4.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cpu` LibTorch: CPU Linux: (Pre-cxx11 ABI): `https://download.pytorch.org/libtorch/test/cpu/libtorch-shared-with-deps-2.4.0%2Bcpu.zip` (cxx11 ABI): `https://download.pytorch.org/libtorch/test/cpu/libtorch-cxx11-abi-shared-with-deps-2.4.0%2Bcpu.zip` CPU Windows: Download here (Release version): `https://download.pytorch.org/libtorch/test/cpu/libtorch-win-shared-with-deps-2.4.0%2Bcpu.zip` Download here (Debug version): `https://download.pytorch.org/libtorch/test/cpu/libtorch-win-shared-with-deps-debug-2.4.0%2Bcpu.zip` CUDA 11.8, 12.1, 12.4 Linux (Pre-cxx11 ABI): `https://download.pytorch.org/libtorch/test/cu118/libtorch-shared-with-deps-2.4.0%2Bcu118.zip` `https://download.pytorch.org/libtorch/test/cu121/libtorch-shared-with-deps-2.4.0%2Bcu121.zip` `https://download.pytorch.org/libtorch/test/cu124/libtorch-shared-with-deps-2.4.0%2Bcu124.zip` (cxx11 ABI): `https://download.pytorch.org/libtorch/test/cu118/libtorch-cxx11-abi-shared-with-deps-2.4.0%2Bcu118.zip` `https://download.pytorch.org/libtorch/test/cu121/libtorch-cxx11-abi-shared-with-deps-2.4.0%2Bcu121.zip` `https://download.pytorch.org/libtorch/test/cu124/libtorch-cxx11-abi-shared-with-deps-2.4.0%2Bcu124.zip` Windows CUDA 11.8, 12.1, 12.4 (Release version): `https://download.pytorch.org/libtorch/test/cu118/libtorch-win-shared-with-deps-2.4.0%2Bcu118.zip` `https://download.pytorch.org/libtorch/test/cu121/libtorch-win-shared-with-deps-2.4.0%2Bcu121.zip` `https://download.pytorch.org/libtorch/test/cu124/libtorch-win-shared-with-deps-2.4.0%2Bcu124.zip` (Debug version): `https://download.pytorch.org/libtorch/test/cu118/libtorch-win-shared-with-deps-debug-2.4.0%2Bcu118.zip` `https://download.pytorch.org/libtorch/test/cu121/libtorch-win-shared-with-deps-debug-2.4.0%2Bcu121.zip` `https://download.pytorch.org/libtorch/test/cu124/libtorch-win-shared-with-deps-debug-2.4.0%2Bcu124.zip` If you have any questions please comment below or reach out to us on this thread. ---
**Author:** ![wmhst7](https://yyz2.discourse-cdn.com/flex036/user_avatar/dev-discuss.pytorch.org/wmhst7/32/2013_2.png) [@wmhst7](https://dev-discuss.pytorch.org/u/wmhst7)\ **Post date:** [July 8, 2024, 5:40pm UTC](https://dev-discuss.pytorch.org/t/pytorch-release-2-4-0-final-rc-is-available/2213/2 "2024-07-08T17:40:36Z")
> [@atalman](#): > > PIP CUDA: > Windows/Linux: Just a typo, should delete [ in: PIP CUDA: Windows/Linux: `pip3 install torch==2.4.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu121` `pip3 install torch==2.4.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu124` ---
**Author:** ![Philip](https://avatars.discourse-cdn.com/v4/letter/p/96bed5/32.png) [@Philip](https://dev-discuss.pytorch.org/u/Philip)\ **Post date:** [July 10, 2024, 4:10am UTC](https://dev-discuss.pytorch.org/t/pytorch-release-2-4-0-final-rc-is-available/2213/3 "2024-07-10T04:10:12Z")
I tried to install torch 2.4 with cuda 12.4 using the above last pip3. It went through cleanly with no error. A. When I tried to confirm torch-cuda link with import torch device = torch.device(‘cuda’ if torch.cuda.is\_available() else ‘cpu’) I got import torch error. Please help. B. Using nvcc --version, it shows CUDA 12.5 which I installed a few weeks ago. Thought it should be 12.4 now after the above installation. Please help. C. I cannot find Cuda 12.4 in my “NVIDIA GPU Computing Toolkit” drive. I need to separately install that with Nvidia apps? I have cuda 12.5 directory in there. Please help. D. No 12.4 in my envir variables. I need to separately complete that? Please help. I thought this is a once through complete installation but now this. Many thanks for your help… ---
**Author:** ![atalman](https://yyz2.discourse-cdn.com/flex036/user_avatar/dev-discuss.pytorch.org/atalman/32/1857_2.png) [@atalman](https://dev-discuss.pytorch.org/u/atalman)\ **Post date:** [July 10, 2024, 7:15pm UTC](https://dev-discuss.pytorch.org/t/pytorch-release-2-4-0-final-rc-is-available/2213/4 "2024-07-10T19:15:34Z")
> [@Philip](#): > > I got import torch error. > > Please help. > > B. Using nvcc --version, it shows CUDA 12.5 which I installed a few weeks ago. Thought it should be 12.4 now after the above installation. Hi Philip. Please follow instructions from Getting Started page: [Start Locally | PyTorch](https://pytorch.org/get-started/locally/) and during pip3 installation use: ```auto pip3 install torch==2.4.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu124 ``` You don’t need to install additional packages pip3 install should download and install all required cuda dependencies. However it will not create 12.4 Environment variables. Have you tried installing on newly created Conda environment or Python environment ? If you are still having issues. Could you please submit detailed issue here ?: > **[Build software better, together](https://github.com/pytorch/pytorch/issues/new/choose)** > > GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. Please include detailed install commands and the output of these commands and errors you are getting. Also Please run following and post an output in the issue: ```auto wget https://raw.githubusercontent.com/pytorch/pytorch/main/torch/utils/collect_env.py # For security purposes, please check the contents of collect_env.py before running it. python collect_env.py ``` ---
**Author:** ![atalman](https://yyz2.discourse-cdn.com/flex036/user_avatar/dev-discuss.pytorch.org/atalman/32/1857_2.png) [@atalman](https://dev-discuss.pytorch.org/u/atalman)\ **Post date:** [July 10, 2024, 7:29pm UTC](https://dev-discuss.pytorch.org/t/pytorch-release-2-4-0-final-rc-is-available/2213/5 "2024-07-10T19:29:10Z")
Thank you. This is Done! ---
**Author:** ![Philip](https://avatars.discourse-cdn.com/v4/letter/p/96bed5/32.png) [@Philip](https://dev-discuss.pytorch.org/u/Philip)\ **Post date:** [July 11, 2024, 7:56am UTC](https://dev-discuss.pytorch.org/t/pytorch-release-2-4-0-final-rc-is-available/2213/6 "2024-07-11T07:56:08Z")
Noted and many thanks. I tried the given steps, no success. I was about to give up, uninstall Python, Pytorch, related apps, and try again on 7-24 with the new release on a clean platform. Holding back my horses, decided to check my MVS installation. Checked GPTChat on which module I should use for Cuda. I used “Data Science and analytical application” module before. As per ChatGPT, I installed now “Desktop development with C++”. Restarting, now Pytorch and Cuda link is OK! Sharing it here for beginners like me. No offense to anyone, I do find web instructions on Python etc rather vague, mainly due to my limited computer knowledge on the subject. Happier now! Thanks to all your help. P/S I suggest to mention which C++ module to install in MVS as part of this Pytorch Cuda instruction. Just a line will do. ---
**Author:** ![quaking](https://yyz2.discourse-cdn.com/flex036/user_avatar/dev-discuss.pytorch.org/quaking/32/2138_2.png) [@quaking](https://dev-discuss.pytorch.org/u/quaking)\ **Post date:** [July 18, 2024, 4:01pm UTC](https://dev-discuss.pytorch.org/t/pytorch-release-2-4-0-final-rc-is-available/2213/7 "2024-07-18T16:01:50Z")
Hey, thank you for your work. I’ve noticed that Intel’s XPU is now officially supported by PyTorch, but I haven’t been successful in manually compiling it. Could you provide a pre-compiled version (preferably with Triton)? Alternatively, would it be possible to contact the Intel team to provide a compiled Docker image?