Merge branch 'site' into fix_update_quick_start

Author: atalman

.github/workflows/build.yml

@@ -8,7 +8,7 @@ on:
 
 jobs:
   tests:
-    uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
+    uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
     secrets: inherit
     with:
       runner: linux.12xlarge

_community_blog/datathon-2025.md

@@ -0,0 +1,8 @@
+---
+title: "Solve Real-Word AI Challenges with PyTorch at Datathon 2025: DataOrbit"
+author: "Aakash Senthilnathan"
+ext_url: /blog/datathon-2025/
+date: Feb 12, 2025
+---
+
+**We’re excited to have PyTorch sponsor [Datathon 2025: DataOrbit](https://dataorbit-2025.devpost.com/)**, a place where students can collaborate with a team to solve problems using real-world datasets! This event, hosted by Data Science UCSB in collaboration with Gaucho Sports Analytics and ACM@UCSB, will take place on **February 22–23rd, 2025 at UC Santa Barbara**, with the incredible opportunity to present your project to a panel of corporate and faculty judges – **including the executive director of Pytorch!** – for a chance to win prizes up to $3000.

_community_blog/optimize-llms.md

@@ -0,0 +1,8 @@
+---
+title: "Optimize LLMs for Efficiency & Sustainability"
+ext_url: /blog/optimize-llms/
+date: Feb 19, 2025
+author: "Zach Lasiuk, Arm"
+---
+
+The rapid growth of large language model (LLM) applications is linked to rapid growth in energy demand. According to the International Energy Agency (IEA), data center electricity consumption is projected to roughly double by 2026 primarily driven by AI. This is due to the energy-intensive training requirements for massive LLMs – however, the increase in AI Inferencing workloads also plays a role. For example, compared with traditional search queries, a single AI inference can consume about [10x more energy](https://www.weforum.org/stories/2024/07/generative-ai-energy-emissions/).

_community_blog/pt-fedora-os-communities.md

@@ -0,0 +1,9 @@
+---
+title: "Powering AI with PyTorch, Fedora, and Open Source Communities"
+author: Sudhir Dharanendraiah
+ext_url: /blog/pt-fedora-os-communities/
+date: Mar 7, 2025
+---
+
+At [DevConf.IN 2025](https://www.devconf.info/in/) in Pune, I had the opportunity to host a **[PyTorch Meetup](https://pretalx.devconf.info/devconf-in-2025/talk/W3YURM/)** on February 28th. The session, titled "**Powering AI with PyTorch, Fedora, and Open Source Communities**" was aimed at introducing PyTorch to students and professionals, explaining why **PyTorch+Fedora** form an ideal AI development platform. The other key aspect I covered was collaboration between open source communities. 
+

_community_blog/pytorch-at-gtc.md

@@ -0,0 +1,8 @@
+---
+title: "PyTorch at GTC 2025"
+author: "Team PyTorch at NVIDIA"
+ext_url: /blog/pytorch-at-gtc/
+date: Mar 16, 2025
+---
+
+[GTC](https://www.nvidia.com/gtc/) is coming back to San Jose on March 17–21, 2025. Join PyTorch Foundation members Arm, AWS, Google Cloud, IBM, Lightning AI, Meta, Microsoft Azure, Snowflake, and thousands of developers as we celebrate PyTorch. Together learn how AI & accelerated computing are helping humanity solve our most complex challenges.

_community_blog/sglang-joins-pytorch.md

@@ -0,0 +1,8 @@
+---
+title: "SGLang Joins PyTorch Ecosystem: Efficient LLM Serving Engine"
+author: "SGLang Team"
+ext_url: /blog/sglang-joins-pytorch/
+date: Mar 19, 2025
+---
+
+We’re thrilled to announce that the SGLang project has been integrated into the PyTorch ecosystem! This integration ensures that SGLang aligns with PyTorch’s standards and practices, providing developers with a reliable and community-supported framework for fast and flexible serving of LLMs.

_events/ai-programming.md

@@ -16,4 +16,4 @@ In this talk, Anton will share how he built an AI agent that ranked #1 in the fi
 
 Anton Pidkuiko is a Software Engineer at Meta, Reality Labs in London. He is currently working on applying the power of Large Language Models to Metaverse Avatar product experiences.
 
-[Register now to join the event](/ai-powered-competitive-programming)
+[More info on this event.](/ai-powered-competitive-programming)

_events/devcon-meetup.md

@@ -0,0 +1,10 @@
+---
+category: event
+title: "PyTorch Meetup at DevConf.IN 2025"
+date: Feb 28, 2025
+---
+
+**Date**: Feb 28, 2025  
+**Location**: Pune, India
+
+[Event Blog](https://pytorch.org/blog/pt-fedora-os-communities/)

_events/kr-conf.md

@@ -0,0 +1,12 @@
+---
+category: event
+title: "PyTorch KR Conference"
+date: March 30, 2025
+---
+
+**Date**: March 30, 2025, 13:00 ~ 18:00  
+**Location**: Seoul, Republic of Korea
+
+Hear from speakers from the PyTorch Foundation, Meta, FuriosaAI, Lablup, Nota AI, Rebellions, etc.
+
+[Event Info](https://event-us.kr/pytorchkr/event/100142)

_events/multi-modal-dl-frame.md

@@ -11,8 +11,8 @@ poster: assets/images/multi-modal-dl-frame.png
 <img style="width:100%" src="/assets/images/multi-modal-dl-frame.png" alt="Multi-Modal Tabular Deep Learning with PyTorch Frame">
 </a>
 
-In this talk, Akihiro introduces PyTorch Frame, a modular framework for multi-modal tabular deep learning. PyTorch Frame enables seamless integration with the PyTorch ecosystem, including PyTorch Geometric for graph-based message passing across relational data and Hugging Face Transformers for extracting rich text features. The talk also highlights its specialized data structures for efficiently handling sparse features, making PyTorch Frame an essential tool for modern tabular data.
+In this talk, Akihiro introduced PyTorch Frame, a modular framework for multi-modal tabular deep learning. PyTorch Frame enables seamless integration with the PyTorch ecosystem, including PyTorch Geometric for graph-based message passing across relational data and Hugging Face Transformers for extracting rich text features. The talk also highlights its specialized data structures for efficiently handling sparse features, making PyTorch Frame an essential tool for modern tabular data.
 
 Akihiro Nitta is a software engineer on the ML team at Kumo.ai and a core contributor to PyTorch Frame and PyTorch Geometric, with prior experience as a maintainer of PyTorch Lightning.
 
-[Register now to join the event](/multi-modal-dl-frame)
+[Learn more about the event](/multi-modal-dl-frame)

_events/pt-26-live-q-a.md

@@ -17,4 +17,4 @@ Nikita is a Software Engineer at Meta where he is, among other things, responsib
 
 Bring your PyTorch 2.6 questions for Nikita during this live Q&A session.
 
-[Register now to join the event](/pt-26-live-q-a)
+[More info on this event.](/pt-26-live-q-a)

_events/pt-day-china-2025.md

@@ -0,0 +1,18 @@
+---
+category: event
+title: "PyTorch Day China 2025"
+date: June 7, 2025
+---
+
+<a href="https://www.lfasiallc.com/pytorch-day-china/">
+<img style="width:100%" src="/assets/images/pt-day-china-2025-cfp.jpg" alt="PyTorch Day China 2025">
+</a>
+
+**Date:** June 7, 2025  
+**Location:** Beijing, China
+
+PyTorch Day China 2025, proudly hosted by the PyTorch Foundation, is the premier gathering dedicated to open-source AI and machine learning innovation. Scheduled for June 7th in Beijing, China and co-located with the BAAI Conference, this community-driven event provides an unparalleled platform for PyTorch enthusiasts, machine learning engineers, AI researchers, and industry professionals.
+
+Immerse yourself in a vibrant day of insightful technical talks, interactive discussions, and engaging poster sessions designed to foster knowledge exchange and collaboration. PyTorch Day China is your gateway to connecting with leading experts and peers in the open-source AI community, offering you unique opportunities to explore cutting-edge advancements and shape the future of deep learning.
+
+[Read more about the event](https://www.lfasiallc.com/pytorch-day-china/)

_events/pt-day-france-2025.md

@@ -0,0 +1,18 @@
+---
+category: event
+title: "PyTorch Day France 2025"
+date: May 7, 2025
+poster: assets/images/pt-day-cfp.png
+---
+
+<a href="https://events.linuxfoundation.org/pytorch-day-france/">
+<img style="width:100%" src="/assets/images/pt-day-cfp.png" alt="PyTorch Day France 2025">
+</a>
+
+**Date**: May 7, 2025  
+**Location**: Paris, France
+
+PyTorch Day France 2025, proudly hosted by the PyTorch Foundation, is the premier gathering dedicated to open-source AI and machine learning innovation. Scheduled for 7 May in Paris, France and co-located with the GOSIM AI Paris, this community-driven event provides an unparalleled platform for PyTorch enthusiasts, machine learning engineers, AI researchers, and industry professionals.
+Immerse yourself in a vibrant day of insightful technical talks, interactive discussions, and engaging poster sessions designed to foster knowledge exchange and collaboration. PyTorch Day France is your gateway to connecting with leading experts and peers in the open-source AI community, offering you unique opportunities to explore cutting-edge advancements and shape the future of deep learning.
+
+[Learn more about the event](https://events.linuxfoundation.org/pytorch-day-france/)

_events/pt-dinov2-multi-label-plant-species-classification.md

@@ -0,0 +1,18 @@
+---
+category: event
+title: "Using PyTorch and DINOv2 for Multi-label Plant Species Classification"
+date: March 27
+poster: assets/images/pt-dinov2-multi-label-plant-species-classification.png
+---
+
+**Date**: March 27th, 12 PM PST
+
+<a href="/pt-dinov2-multi-label-plant-species-classification">
+<img style="width:100%" src="/assets/images/pt-dinov2-multi-label-plant-species-classification.png" alt="Using PyTorch and DINOv2 for Multi-label Plant Species Classification">
+</a>
+
+Join us for an engaging webinar on our innovative transfer learning approach using self-supervised Vision Transformers (DINOv2) for multi-label plant species classification in the PlantCLEF 2024 challenge. We’ll cover how we efficiently extract feature embeddings from a dataset of 1.4 million images and utilize PyTorch Lightning for model training and Apache Spark for data management. Learn about our image processing techniques, including transforming images into grids of tiles and aggregating predictions to overcome computational challenges. Discover the significant performance improvements achieved and get insights into multi-label image classification. Perfect for PyTorch developers, this session will include a Q&A and access to our complete codebase at [github.com/dsgt-kaggle-clef/plantclef-2024](https://github.com/dsgt-kaggle-clef/plantclef-2024).
+
+Murilo Gustineli is a Senior AI Software Solutions Engineer at Intel, and is currently pursuing a Master’s in Computer Science at Georgia Tech focusing on machine learning. His work involves creating synthetic datasets, fine-tuning large language models, and training multi-modal models using Intel® Gaudi® Al accelerators as part of the Development Enablement team. He is particularly interested in deep learning, information retrieval, and biodiversity research, aiming to improve species identification and support conservation efforts.
+
+[Learn more about the event](/pt-dinov2-multi-label-plant-species-classification)

_get_started/previous-versions.md

@@ -25,45 +25,45 @@ your convenience.
 
 ```
 # conda
-conda install pytorch==2.5.1 torchvision==0.20.0 torchaudio==2.5.0 -c pytorch
+conda install pytorch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 -c pytorch
 ```
 
 #####  Linux and Windows
 
 ```
 # CUDA 11.8
-conda install pytorch==2.5.1 torchvision==0.20.0 torchaudio==2.5.0  pytorch-cuda=11.8 -c pytorch -c nvidia
+conda install pytorch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1  pytorch-cuda=11.8 -c pytorch -c nvidia
 # CUDA 12.1
-conda install pytorch==2.5.1 torchvision==0.20.0 torchaudio==2.5.0 pytorch-cuda=12.1 -c pytorch -c nvidia
+conda install pytorch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 pytorch-cuda=12.1 -c pytorch -c nvidia
 # CUDA 12.4
-conda install pytorch==2.5.1 torchvision==0.20.0 torchaudio==2.5.0 pytorch-cuda=12.4 -c pytorch -c nvidia
+conda install pytorch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 pytorch-cuda=12.4 -c pytorch -c nvidia
 # CPU Only
-conda install pytorch==2.5.1 torchvision==0.20.0 torchaudio==2.5.0 cpuonly -c pytorch
+conda install pytorch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 cpuonly -c pytorch
 ```
 
 #### Wheel
 
 ##### OSX
 
 ```
-pip install torch==2.5.1 torchvision==0.20.0 torchaudio==2.5.0
+pip install torch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1
 ```
 
 ##### Linux and Windows
 
 ```
 # ROCM 6.1 (Linux only)
-pip install torch==2.5.1 torchvision==0.20.0 torchaudio==2.5.0 --index-url https://download.pytorch.org/whl/rocm6.1
+pip install torch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 --index-url https://download.pytorch.org/whl/rocm6.1
 # ROCM 6.2 (Linux only)
-pip install torch==2.5.1 torchvision==0.20.0 torchaudio==2.5.0 --index-url https://download.pytorch.org/whl/rocm6.2
+pip install torch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 --index-url https://download.pytorch.org/whl/rocm6.2
 # CUDA 11.8
-pip install torch==2.5.1 torchvision==0.20.0 torchaudio==2.5.0 --index-url https://download.pytorch.org/whl/cu118
+pip install torch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 --index-url https://download.pytorch.org/whl/cu118
 # CUDA 12.1
-pip install torch==2.5.1 torchvision==0.20.0 torchaudio==2.5.0 --index-url https://download.pytorch.org/whl/cu121
+pip install torch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 --index-url https://download.pytorch.org/whl/cu121
 # CUDA 12.4
-pip install torch==2.5.1 torchvision==0.20.0 torchaudio==2.5.0 --index-url https://download.pytorch.org/whl/cu124
+pip install torch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 --index-url https://download.pytorch.org/whl/cu124
 # CPU only
-pip install torch==2.5.1 torchvision==0.20.0 torchaudio==2.5.0 --index-url https://download.pytorch.org/whl/cpu
+pip install torch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 --index-url https://download.pytorch.org/whl/cpu
 ```
 
 ### v2.5.0

_includes/footer.html

@@ -87,7 +87,6 @@ <h2>Resources</h2>
       </div>
     </div>
   </div>
-  {% include google_pixel.html %}
 </footer>
 
 {% include mobile_menu.html %}

_includes/head.html

@@ -34,7 +34,6 @@
   <script src="https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML" type="text/javascript"></script>
   <script type="text/javascript" src="https://cdn.jsdelivr.net/npm/docsearch.js@2/dist/cdn/docsearch.min.js"></script>
   {% if jekyll.environment == 'production' %}
-    {% include analytics.html %}
     {% include pixel.html %}
     {% include twitter_pixel.html %}
   {% endif %}

_includes/header.html

@@ -1,6 +1,6 @@
 <div class="hello-bar">
   <div class="container">
-    Join us in Silicon Valley September 18-19 at the 2024 PyTorch Conference. <a target="_blank" href="https://events.linuxfoundation.org/pytorch-conference/?utm_source=www&utm_medium=homepage&utm_campaign=Pytorch-Conference-2024&utm_content=hello">Learn more</a>.
+    Join us at PyTorch Conference in San Francisco, October 22-23. CFP open now! <a target="_blank" href="https://events.linuxfoundation.org/pytorch-conference/">Learn more</a>.
   </div>
 </div>
 <div class="container-fluid header-holder {{ page.body-class }}-header">

_includes/main_menu.html

@@ -26,6 +26,9 @@
             <span class="dropdown-title">Intro to PyTorch - YouTube Series</span>
             <p>Master PyTorch basics with our engaging YouTube tutorial series</p>
           </a>
+          <a class="nav-dropdown-item" href="/new">
+            <span class="dropdown-title">New to PyTorch Foundation</span>
+          </a>
         </div>
       </div>
     </li>
@@ -36,10 +39,13 @@
           Ecosystem 
         </a>
         <div class="resources-dropdown-menu">
-          <a class="nav-dropdown-item" href="{{ site.baseurl}}/ecosystem">
+          <a class="nav-dropdown-item" href="https://landscape.pytorch.org/" target="_blank">
             <span class="dropdown-title">Tools</span>
             <p>Learn about the tools and frameworks in the PyTorch Ecosystem</p>
           </a>
+          <a class="nav-dropdown-item" href="https://github.com/pytorch-fdn/ecosystem" target="_blank">
+            <span class="dropdown-title">Join the Ecosystem</span>
+          </a>
           <a class="nav-dropdown-item" href="{{ site.baseurl }}/#community-module">
             <span class=dropdown-title>Community</span>
             <p>Join the PyTorch developer community to contribute, learn, and get your questions answered.</p>

_includes/mobile_menu.html

@@ -42,13 +42,19 @@
           <li>
             <a href="https://pytorch.org/tutorials/beginner/introyt.html">Introduction to PyTorch - YouTube Series</a>
           </li>
+          <li>
+            <a href="/new">New to PyTorch Foundation</a>
+          </li>
         </ul>
         <li class="resources-mobile-menu-title">
           <a>Ecosystem</a>
         </li>
         <ul class="resources-mobile-menu-items">
           <li>
-            <a href="{{ site.baseurl }}/ecosystem">Tools</a>
+            <a href="https://landscape.pytorch.org/">Tools</a>
+          </li>
+          <li>
+            <a href="https://github.com/pytorch-fdn/ecosystem">Join the Ecosystem</a>
           </li>
           <li>
             <a href="{{ site.baseurl}}/#community-module">Community</a>

_layouts/blog_detail.html

@@ -7,7 +7,7 @@
     <div class="main-background blog-background blog-detail-background"></div>
     <div class="hello-bar">
         <div class="container">
-          Join us in Silicon Valley September 18-19 at the 2024 PyTorch Conference. <a target="_blank" href="https://events.linuxfoundation.org/pytorch-conference/">Learn more</a>.
+            Join us at PyTorch Conference in San Francisco, October 22-23. CFP open now! <a target="_blank" href="https://events.linuxfoundation.org/pytorch-conference/">Learn more</a>.
         </div>
       </div>
 

_posts/2019-07-18-pytorch-ecosystem.md

@@ -41,7 +41,7 @@ When we review project submissions for the PyTorch ecosystem, we take into accou
 5. *Ongoing maintenance:* Project authors need to be committed to supporting and maintaining their projects.
 6. *Community:* Projects should have (or be on track to building) an active, broad-based community.
 
-If you would like to have your project included in the PyTorch ecosystem and featured on [pytorch.org/ecosystem](http://pytorch.org/ecosystem), please complete the form [here](https://pytorch.org/ecosystem/join). If you've previously submitted a project for consideration and haven't heard back, we promise to get back to you as soon as we can - we've received a lot of submissions!
+If you would like to have your project included in the PyTorch ecosystem and featured on [pytorch.org/ecosystem](http://pytorch.org/ecosystem), please complete the form [here](https://github.com/pytorch-fdn/ecosystem). If you've previously submitted a project for consideration and haven't heard back, we promise to get back to you as soon as we can - we've received a lot of submissions!
 
 ## PyTorch Hub for reproducible research | New models
 

_posts/2024-05-11-enhancing-deep-learning.md

@@ -8,7 +8,7 @@ Welcome to the thriving PyTorch ecosystem, where a wealth of tools and libraries
 
 Initially, PyTorch aimed to establish a thriving community, enabling developers to access each other's tools, engage in meaningful discussions, and explore the wealth of resources available within the community. 
 
-Today, the PyTorch ecosystem has grown to feature over 100 projects tailored to your needs, providing robust support, enhanced speed, and effortless integration with PyTorch. If your project aligns with our mission, we invite you to [submit](https://pytorch.org/ecosystem/join) it and join this dynamic ecosystem.
+Today, the PyTorch ecosystem has grown to feature over 100 projects tailored to your needs, providing robust support, enhanced speed, and effortless integration with PyTorch. If your project aligns with our mission, we invite you to [submit](https://github.com/pytorch-fdn/ecosystem) it and join this dynamic ecosystem.
 
 New this month, we’ve moved all of our Ecosystem blogs over to our PyTorch.org website to host a space where our community can show off the latest innovations with our users. Read on to hear about the latest projects in the ecosystem!
 
@@ -94,7 +94,7 @@ Our  diverse ecosystem tools are instrumental in PyTorch's success.. They provid
 
 Leveraging these tools empowers developers and researchers to accelerate their deep learning workflows and unlock new possibilities in the field of AI.
 
-Have a tool that would be a good fit for the [PyTorch Ecosystem](https://pytorch.org/ecosystem/)? If you can answer the below questions, we’d love for you to [submit your tool for review](https://pytorch.org/ecosystem/join).
+Have a tool that would be a good fit for the [PyTorch Ecosystem](https://pytorch.org/ecosystem/)? If you can answer the below questions, we’d love for you to [submit your tool for review](https://github.com/pytorch-fdn/ecosystem).