PyTorch

@PyTorch517k followers

Tensors and neural networks in Python with strong hardware acceleration. PyTorch is an open source project at the Linux Foundation. #PyTorchFoundation

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1Nov 15, '24We are announcing that PyTorch will stop publishing Anaconda packages on PyTorch’s official anaconda channels. For more information, please refer to the following post on dev-discu12.8×681k1.4k295318
2Dec 31, '22If you installed PyTorch-nightly on Linux between Dec. 25 and Dec. 30, uninstall it and torchtriton immediately and use the latest nightly binaries. Read the security advisory here9.9×524k74547664
3Mar 15, '23We’re excited to announce the release of PyTorch 2.0! This version includes: ⚙️ 100% backward compatible 📦 Out of the box performance 📶 Significant speed improvements Learn more 9.1×485k2k580106
4May 18, '22We’re excited to announce support for GPU-accelerated PyTorch training on Mac! Now you can take advantage of Apple silicon GPUs to perform ML workflows like prototyping and fine-tu6.5×03.1k646148
5Nov 21, '19To help developers get started with PyTorch, we’re making the 'Deep Learning with PyTorch' book, written by Luca Antiga and Eli Stevens, available for free to the community:6.2×02.5k864315
6Sep 25, '23Inside the Matrix: Use 3D to visualize matrix multiplication expressions, attention heads with real weights, and more. ⚡ Read our latest post on visualizing matrix multiplication, 6.2×327k1.9k377757
7Jul 6, '20The full version of the Deep Learning with PyTorch book from Luca Antiga, Eli Stevens, and Thomas Viehmann is now available! New chapters include in-depth real-world examples and p5.9×02.3k678459
8Oct 17, '23Announcing ExecuTorch 🚀 ExecuTorch offers a compact runtime with a lightweight operator registry to cover the PyTorch ecosystem of models, and a streamlined path to execute PyTorc5.7×302k572117121
9Jan 19, '22Today marks 5 years since the public release of PyTorch! We didn't expect to come this far, but here we're🙂- 2K Contributors, 90K Projects, 3.9M lines of "import torch" on GitHub.5.6×03.2k42460
10Sep 14, '21Want to make your inference code in PyTorch run faster? Here’s a quick thread on doing exactly that. 1. Replace _grad() with the ✨torch.inference_mode()✨ context manager.4.0×01.7k352396
11Dec 2, '22We just introduced PyTorch 2.0 at the #PyTorchConference, introducing torch.compile! Available in the nightlies today, stable release Early March 2023. Read the full post: 🧵below!3.9×01.7k491131
12Nov 30, '2310x performance on LLaMa 7B, all in native PyTorch. No C++ needed. Check out our second blog post in a series on Accelerating Generative AI using Native PyTorch. 🔥3.7×199k1.5k249649
13Jan 25, '19PyTorch is now installed by default on Google Colaboratory. Go ahead and `import torch`, `import torchvision`, `import torchtext`3.2×01.5k43431
14Dec 14, '23Understanding GPU Memory 1: Visualizing All Allocations over Time 👀 In part 1 of this series, we show how to use Memory Snapshot, the Memory Profiler, and the Reference Cycle Dete3.1×165k1k181701
15Nov 26, '18Microsoft VSCode integrates deeply with PyTorch out of the box. As @aerinykim highlights: 1. It shows values inside tensors. (Left panel) 2. By simply mousing over, you can see the3.1×01.4k41062
16Jul 30, '24Introducing torchchat 🔥 A lightweight library to run LLMs locally across mobile, desktop and laptops powered by PyTorch. Learn more: #llms #mobilellms #localai #pytorchllm #edge #3.0×160k856178343
17Apr 16, '24Announcing the alpha release of torchtune! torchtune is a PyTorch-native library for fine-tuning LLMs. It combines hackable memory-efficient fine-tuning recipes with integrations i2.9×156k1.4k288436
18Mar 10, '21We're excited to release the torch.fft module in PyTorch 1.8. This module implements the same functions as NumPy’s np.fft module, but with support for accelerators, like GPUs, and 2.8×01.5k25697
19Mar 25, '21Introducing torch.profiler! New PyTorch Profiler collects both GPU and framework related info, correlates them, performs automatic detection of bottlenecks in the model, generates 2.8×01.3k318130
20Jan 29, '25PyTorch 2.6 is here! This release brings key improvements, including: 🔥 torch.compile support for Python 3.13 🔥 A new performance tuning knob: torch.compiler.set_stance 🔥 Enhanc2.5×135k736135102
21Jan 18, '17GPU Tensors, Dynamic Neural Networks and deep Python integration. Hello world!2.5×089048314
22Oct 15, '25PyTorch 2.9 is now available, introducing key updates to performance, portability, and the developer experience. This release includes a stable libtorch ABI for C++/CUDA extensions2.3×124k1.4k178227
23May 17, '19A walkthrough of the PyTorch Internals by core developer @ezyang . It's a great resource if you want to contribute to PyTorch.2.3×0953290154
24Mar 9, '21Introducing VISSL () - a library for reproducible, SOTA self-supervised learning for computer vision! Over 10 methods implemented, 60 pre-trained models, 15 benchmarks, and countin2.3×01k249157
25Oct 16, '23Announcing Flash-Decoding 🚀 Flash-Decoding makes LLM decoding much faster, and in particular allows to scale to very long sequence lengths (64k+) without slowdown! Read more on ou2.3×121k676120207
26Jan 3, '243x faster text-to-image diffusion models, all in pure PyTorch. No C++ needed. Check out our third blog post in the series on Accelerating Generative AI using Native PyTorch. 🔥2.2×117k645111220
27Mar 4, '21PyTorch 1.8 is here! Highlights include updates for compiler, code optimization, frontend APIs for scientific computing, large scale training for pipeline and model parallelism, an2.2×01.1k25237
28Mar 28, '19Learn PyTorch on GPUs for free via Google Colaboratory each PyTorch tutorial now has a link to open it on Colab, where you can interactively execute and play with code. #thanksgoog2.2×01k27278
29Sep 10, '20The full hands-on tutorials, "Building Recommender Systems with PyTorch", are now available. We show how to build deep learning recommendation system and resolve the associated int2.1×0808188228
30Jan 30, '24PyTorch 2.2 is here 🎉 Featuring: - SDPA support of FlashAttention-2 - New ahead-of-time extension of TorchInductor - device_mesh, a new abstraction for initializing and representi2.0×108k974179108
31Dec 7, '18[v1.0] : JIT Compiler, Faster Distributed, C++ Frontend, CUDA10 Read more about the changes at As always, get the install commands on2.0×087431223
32May 1, '19[v1.1.0] Official TensorBoard Support, Attributes, Dicts, Lists and User-defined types in JIT / TorchScript, Improved Distributed Read more about the changes at As always, get the 2.0×088630024
33Jun 15, '21PyTorch 1.9 is here! Highlights include improvements for: - torch.linalg, torch.special, and Complex Autograd - Mobile Interpreter - TorchElastic - The PyTorch RPC framework - APIs2.0×096824830
34May 23, '19torchvision 0.3.0: segmentation, detection models, new datasets, C++/CUDA operators Blog with link to tutorial, release notes: Install commands have changed, use the selector on1.9×083826655
35Aug 18, '20Stochastic Weight Averaging (SWA) is a simple procedure that improves generalization in deep learning over Stochastic Gradient Descent (SGD). PyTorch 1.6 now includes SWA natively.1.9×0830194126
36Dec 19, '23Part 2️⃣: Understanding GPU Memory 🤔 In our latest post, we will use the Memory Snapshot to visualize a GPU memory leak caused by reference cycles, and then locate and remove them1.8×94k680134389
37Dec 12, '18DGL (Deep Graph Library) - Clean and efficient library to build graph neural networks including GCN, TreeLSTM and graph generative models. Includes auto-batching and other tricks f1.7×073026264
38May 2, '18Dear PyTorch users, We're sharing the roadmap for PyTorch 1.0: production ready PyTorch. Coming later this summer.1.7×073927411
39Nov 3, '17Pyro, a probabilistic programming language on top of @PyTorch from Uber AI Labs1.7×06903181
40May 3, '21Together with @msdev, we’ve created a PyTorch “Learn the Basics” tutorial. Familiarize yourself with PyTorch concepts and modules. Learn how to load data, build deep neural network1.7×0629152193
41Jul 28, '20v1.6: native mixed-precision support from NVIDIA (~2x perf improvement), distributed perf improvements, new profiling tool for memory consumption, Microsoft commits to developing a1.6×075422632
42Oct 4, '23Announcing PyTorch 2.1 Stable Release ⚡✨ PyTorch 2.1 offers automatic dynamic shape and NumPy compilation support in torch.compile, as well as torch.distributed.checkpoint for savi1.6×86k56912741
43Oct 22, '20The team @WadhwaniAI has built a multi-task network that detects pest infestations in cotton crops. This technology is being put directly in the hands of more than 18,000 farmers a1.6×072916382
44Jul 16, '20Disney uses PyTorch for animated character recognition and to speed up its video processing pipeline. @DTCITechnology engineers also contributed new features to the Torchvision dom1.6×077217682
45Jan 18, '18Tensorboard-PyTorch plugin now includes graph visualization of your model. Live demo here: Github page:1.6×07192633
46Oct 21, '20PyTorch Lightning 1.0.0 is now available. This is the final stable API to train and deploy models at scale, without the boilerplate. Read more about this release below:1.6×077215575
47May 5, '20Today, we made usability and content improvements to PyTorch Tutorials including additional categories, a new recipe format for quickly referencing common topics, sorting using tag1.6×073618461
48Sep 10, '20Bolts is a new Deep Learning research and production toolbox from PyTorch Lightning. Iterate faster with pre-trained models, components, callbacks, and data sets, all modular, test1.5×066218699
49Sep 27, '24We’re happy to officially launch torchao, a PyTorch native library that makes models faster and smaller by leveraging low bit dtypes, quantization & sparsity. Our techniques ar1.5×80k638115208
50Apr 24, '24PyTorch 2.3 is here 😎🔥 PyTorch 2.3 offers support for user-defined Triton kernels in torch.compile, allowing for users to migrate their own Triton kernels from eager without expe1.5×80k71912193
51Oct 24, '18MaskRCNN-Benchmark: - A fast, modular reference of {Mask,Faster}RCNN - by @fvsmassa (PyTorch), optimized by Nvidia - reusable components, pre-trained models - optimized inference, 1.5×064822246
52Apr 21, '20v1.5: autograd API for Hessians/Jacobians, C++ frontend stable and 100% parity with Python, Better performance on GPU and CPU with Tensor Format ‘channels last’, distributed.rpc st1.5×068821026
53Oct 19, '21✨ Low Numerical Precision in PyTorch ✨ Most DL models are single-precision floats by default. Lower numerical precision - while reasonably maintaining accuracy - reduces: a) model 1.5×0662129128
54Jun 22, '20The Global PyTorch Summer Hackathon is back! This year, teams can compete in 3 categories: 1. Developer Tools 2. Web/Mobile applications 3. Responsible AI Development Tools Read mo1.4×061119069
55Oct 27, '20v1.7: CUDA 11 supported with binaries on , updated profiling/performance for RPC, TorchScript and Stack traces in the autograd profiler, support for NumPy compatible FFT via torch.1.4×072417417
56Jan 19, '18We are a year old :) A post looking back at our journey, the lovely community, the engineering and love.1.4×07071962
57Aug 6, '17PyTorch v0.2 is out: Higher order gradients, Distributed PyTorch, Broadcasting, Advanced Indexing, New Layers, more!1.4×05592750
58Apr 2, '19PyTorch BigGraph: a distributed system for learning large graph embeddings - up to billions of entities and trillions of edges - Sharding and Negative Sampling - WikiData embedding1.4×062319259
59May 23, '22Today we’d like to highlight features from functorch, a beta PyTorch library that provides JAX-inspired function transformations like vmap. () If you’re not sure what sort of cool 1.4×0672125105
60Oct 6, '20NeMo, @NVIDIA’s open-source toolkit based on #PyTorch, allows you to quickly build, train, and fine-tune conversational AI models. See how speech recognition, natural language proc1.4×0568173113
61Jun 28, '20The Computer Vision Recipes repository by researchers at Microsoft provides examples and best practice guidelines for building CV systems. It supports classification, retrieval, tr1.4×0491170152
62Feb 12, '24The PyTorch team is excited to share that our paper on PyTorch 2 has been accepted for presentation at ASPLOS 2024! The paper delves into the implementation of torch.compile and hi1.4×74k50979104
63Nov 9, '18Happy 3rd Birthday TensorFlow! Looking forward to competing with and complementing you over the years. #HappyBirthdayTF1.4×08451112
65Apr 24, '18v0.4: Trade-off memory for compute, Windows support, 24 distributions with cdf, variance etc., dtypes, zero-dimensional Tensors, Tensor-Variable merge, , faster distributed, perf a1.3×05232104
66Apr 29, '19Stochastic Weight Averaging: a simple procedure that improves generalization over SGD at no additional cost. Can be used as a drop-in replacement for any other optimizer in PyTorch1.3×058617562
67Aug 7, '24Introducing FlexAttention: a new API that lets you implement diverse attention variants in just a few lines of idiomatic PyTorch code. 🔥 Check out the blog post for more details:1.3×70k46886164
68Jan 30, '20Welcome OpenAI to the PyTorch community!1.3×074013714
69Jun 10, '19PyTorch Hub: reducing the friction in reproducing and building-upon research - Pull models with 1 line of code, and a few more to use - Curated models. Open with Google Colab and @1.3×054121631
70Jan 10, '24Do you want to adapt an LLM on your own data and domain? 🤔 Learn how to finetune a 7B parameter model on a typical consumer GPU (NVIDIA T4 16GB) with LoRA and tools from the PyTor1.3×68k701159542
71Oct 21, '21PyTorch 1.10 is here! Highlights include updates for: - CUDA Graphs APIs updates - Several frontend APIs moved to Stable - Automatic fusion in JIT Compiler support for CPU/GPUs - A1.3×061415330
72Sep 12, '22Today, Mark Zuckerberg announced the launch of the #PyTorchFoundation under the @LinuxFoundation & a board of @Meta @AMD @awscloud @googlecloud @Azure & @NVIDIAAI. With the1.3×059915125
73Feb 5, '20Hydra provides an ability to compose and override configuration from the command line and config files, helping PyTorch developers to more easily manage complex ML projects.1.3×054513381
74Dec 1, '21Introducing @PyTorchLive, an easy to use library of tools for creating on-device ML demos on Android and iOS. With Live, you can build a working mobile app ML demo in minutes. Lear1.3×051514570
75May 7, '19Universal Music Translation Network: translating music across musical instruments and styles using unsupervised training1.2×053916656
76Jun 28, '21This tutorial will introduce compute and data-efficient transformers and provide a step-by-step to create your own Vision Transformers. Through this guide, you'll be able to train 1.2×0475119118
77Apr 23, '25Update from the PyTorch maintainers: 2.7 is out now. 🔹 Support for NVIDIA Blackwell (CUDA 12.8) 🔹 Mega Cache 🔹 torch.compile for Function Modes 🔹 FlexAttention updates 🔹 Intel1.2×63k4998678
78Feb 21, '20Torchmeta is a collection of extensions and data loaders for few-shot learning and meta-learning. It won first place at the Global PyTorch Summer Hackathon last year. Learn more in1.2×053613964
79Mar 9, '21Introducing “Learn the Basics" - a guide to a complete ML workflow with detailed explanations on concepts like Tensors, DataLoaders, Transforms, and more. Thanks @sethjuarez, @subr1.2×0464120114
80Oct 10, '19[v1.3.0] Named Tensors, iOS / Android support, Quantization, Type Promotion and more. Also available: TPU device, Detectron2, Captum for model interpretability, CrypTen for PPML re1.2×053517413
81Jan 25, '24RoMa: an easy-to-to-use, stable and efficient library to deal with rotations and spatial transformations in PyTorch. Read all about this PyTorch Ecosystem Tool in our latest Medium1.1×61k607106233
82Mar 23, '20Captum is a library for model interpretability. Its algorithms include integrated gradients, conductance, SmoothGrad and VarGrad, and DeepLift. Learn more:1.1×047615564
83Jun 11, '20Catalyst is a PyTorch framework designed for reproducibility, faster experimentation and code/ideas reusing. This blog walks through MINST classifier tutorial and compare PyTorch a1.1×051710496
84Jul 26, '18[v0.4.1] Spectral Norm, Adaptive Softmax, faster CPU ops, anomaly detection (NaNs, etc.), Lots of bug fixes, Python 3.7 and CUDA 9.2 support and more. Full release notes at As alwa1.1×053816712
85Nov 2, '20We're excited to announce our first PyTorch Developer Day starting 8 AM on November 12, 2020 PST. Learn more: #PTD21.1×055111839
86Jun 10, '20TorchServe v0.1.1 is available with new features and support for HuggingFace BERT, Waveglow, Model Zoo, SnakeViz Profiler, AWS CloudFormation Template, and Automated Integration re1.1×054313042
87Sep 29, '20PyTorch/XLA, a package that lets PyTorch connect to @GCPcloud TPUs and use TPU cores as devices, is now generally available. Highlights: - Support for Intra-Layer Model Parallelism1.1×050213631
88Oct 29, '21FX-based feature extraction is a new TorchVision utility that allows access to intermediate transformations of an input during the forward pass of a PyTorch Module. Read more below1.1×045089108
89Apr 3, '18PyTorch now available on @pypi $ pip install torch thanks to all the devs who worked on Warehouse -- the new PyPI infrastructure1.1×05411495
90Sep 26, '18Github Engineering experiments with Semantic Code Search: search for code snippets using natural language. Built on top of fastai + PyTorch, it's fully open-source Read about their1.1×046715530
91Jan 29, '24Happy to share an early version of float8_experimental, a library to accelerate training with float8 + torch.compile written in native PyTorch 🔥1.0×55k48796107
92Sep 15, '22Two creators of passion projects that transformed the landscape of how we code today — Linus Torvalds and @soumithchintala meet for the first time, sharing a smile and a love for t1.0×06326611
93Jun 16, '22Torch-TensorRT is now an official part of the PyTorch ecosystem and now available on PyTorch GitHub and Documentation. Torch-TensorRT is a TensorRT integration for PyTorch that acc1.0×04869659
94Dec 9, '24vLLM Joins PyTorch Ecosystem 🎉 @vllm_project has always had a strong connection with the PyTorch project. Tight coupling with PyTorch ensures seamless compatibility and performanc1.0×53k705102153
95Mar 10, '22Announcing PyTorch 1.11, TorchData, and functorch! Highlights: - TorchData, a new library for common modular data loading primitives - functorch adds composable function transforms1.0×05179534
96Dec 14, '18PyTorch BERT models are now 4x faster, thanks to @nvidia1.0×051211622
97Aug 23, '20PyTorch Lightning V0.9 is available now featuring the final API with better data decoupling, shorter logging syntax, synchronized batchnorm, and more. Learn more:1.0×048611429
98Oct 17, '24PyTorch 2.5 is here 🔥 We are excited to announce the release of #PyTorch 2.5, featuring a new CuDNN backend for SDPA, regional compilation of torch.compile, & TorchInductor CP1.0×51k65314572
99Jun 23, '21PyTorch 1.9 extends PyTorch’s support for linear algebra operations with the torch.linalg module. The module has 26 operators, including every function from NumPy’s linear algebra 0.9×04669730

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