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PyTorch 2.x & Lightning 2.0 Advanced Masterclass | Generative AI, Edge, Distributed & Production
Lightning Talk: Exploring PiPPY, Tensor Parallel and Torchserve for Large... - Hamid Shojanazeri

Lightning Talk: Exploring PiPPY, Tensor Parallel and Torchserve for Large... - Hamid Shojanazeri

PyTorch 2.x & Lightning 2.0 Advanced Masterclass | Generative AI, Edge, Distributed & Production

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68 درس
12:12 Lightning Talk: State of PyTorch - Alban Desmaison, Meta - Speakers: Alban Desmaison
09:02 Lightning Talk: TorchFix - a Linter for PyTorch-Using Code with Autofix Support - Sergii Dymchenko
20:47 What's New for PyTorch Developer Infrastructure - Eli Uriegas & Omkar Salpekar
08:29 Lightning Talk: Enhancements Made to MPS Backend in PyTorch for Applications Running... - Kulin Seth
25:06 PyTorch Korea User Group: The Beginning, Present, and Future - Junghwan Park
16:13 Lightning Talk: Triton Compiler - Thomas Raoux, OpenAI
08:51 Lightning Talk: Harnessing NVIDIA Tensor Cores: An Exploration of CUTLASS & OpenAI..- Matthew Nicely
11:31 Lightning Talk: PyTorch 2.0 on the ROCm Platform - Douglas Lehr, AMD
12:58 Lightning Talk: Accelerated Inference in PyTorch 2.X with Torch...- George Stefanakis & Dheeraj Peri
13:56 Lightning Talk: Large-Scale Distributed Training with Dynamo and... - Yeounoh Chung & Jiewen Tan
10:18 Lightning Talk: Streamlining Model Export with the New ONNX Exporter - Maanav Dalal & Aaron Bockover
15:51 Lightning Talk: Efficient Inference at the Edge: Performance You Need at the Lowest... - Felix Baum
10:24 Lightning Talk: Accelerating LLM Training on Cerebras Wafer-Scale... - Mark; Natalia; Behzad & Emad
10:33 Lightning Talk: Accelerating PyTorch Performance with OpenVINO - Yamini, Devang & Mustafa
20:21 PyTorch Edge: Developer Journey for Deploying AI Models Onto Edge Devices - Mengwei Liu & Angela Yi
24:42 PyTorch Edge: Vendor Integration Journey for Compilers and Backends - Kimish Patel, & Chen Lai
13:34 Lightning Talk: The Fastest Path to Production: PyTorch Inference in Python - Mark Saroufim, Meta
12:33 Lightning Talk: Exploring PiPPY, Tensor Parallel and Torchserve for Large... - Hamid Shojanazeri
08:18 Lightning Talk: Standardizing CPU Benchmarking with TorchBench for PyTorch... - Xu Zhao & Mingfei Ma
09:30 Lightning Talk: Profiling and Memory Debugging Tools for Distributed ML Workloads on GPUs- Aaron Shi
11:30 Lightning Talk: Building Intermediate Logging for PyTorch - Kunal Bhalla, Meta
14:56 Lightning Talk: PT2 Export - A Sound Full Graph Capture Mechanism for PyTorch - Avik Chaudhuri, Meta
22:35 Llama V2 in Azure AI for Finetuning, Evaluation and Deployment from the Model Catalog - Swati Gharse
21:01 Cost Effectively Deploy Thousands of Fine Tuned Gen AI Models Like... - Saurabh Trikande, Li Ning
24:29 The Evolving Landscape of Dataloading - Laurence Rouesnel, Meta
13:19 Lightning Talk: Adding Backends for TorchInductor: Case Study with Intel GPU - Eikan Wang, Intel
05:53 Keynote: Welcome & Opening Remarks - Ibrahim Haddad, Executive Director, PyTorch Foundation
11:46 Keynote: How PyTorch Became the Foundation of the AI Revolution - Joe Spisak, Product Director, Meta
53:46 Keynote: PyTorch 2.1 Technical Deep Dive - Mario, Mark, Mergen, Joe, Peng, Will, Yanan
24:22 What's New for Dynamic Shapes in PyTorch 2.1 - Edward Yang, Meta
11:48 Lightning Talk: CUDAGraph in a Partial Graph World - Elias Ellison, Meta
15:16 Lightning Talk: AOTInductor: Ahead-of-Time Compilation for PT2 Exported Models - Bin Bao, Meta
11:43 Lightning Talk: Accelerating Inference on CPU with Torch.Compile - Jiong Gong, Intel
10:59 Lightning Talk: Lessons from Using Pytorch 2.0 Compile in IBM's Watsonx.AI Inference - Antoni Martin
13:39 Keynote: Welcome & Opening Remarks - Joe Spisak, Product Director, Meta
16:12 Keynote: Refik Anadol Studio: Rainforest AI Research - Christian Burke & Refik Anadol
02:57 Keynote: AMD & PyTorch: A Powerful Combination for Generative AI - Negin Oliver
11:16 Keynote: Building an Interoperable Ecosystem for Generative AI - Stella Biderman
04:57 Keynote: The Promise of PyTorch as a General-Purpose Array-Oriented Computational..- Travis Oliphant
10:16 Keynote: How to Leverage PyTorch to Scale AI Training and Inferencing - Raghu Ganti
05:05 Keynote: The Value of Open Source for the Enterprise - Priya Nagpurkar
05:56 Keynote: Intel and PyTorch: Enabling AI Everywhere with Ubiquitous Hardware and Open... - Fan Zhao
06:14 Keynote: PyTorch Lightning: Powering the GenAI Revolution from Research to the... - William Falcon
11:44 Keynote: The Llama Ecosystem: Past, Present and Future - Joe Spisak, Product Director, Meta
26:00 Accelerating Explorations in Vision and Multimodal AI Using Pytorch...- Nicolas, Philip, Evan & Peng
20:11 Getting Started with Pytorch 2.0 and Hugging Face Transformers - Philipp Schmid, Hugging Face
22:27 Training a LLaMA in your Backyard: Fine-tuning Very Large... - Sourab Mangrulkar & Younes Belkada
15:10 Distributed Checkpoint - Iris Zhang & Chien-Chin Huang, Meta
19:09 Composable Distributed PT2(D) - Wanchao Liang, Meta Platforms, Inc.
20:59 Lessons Learned in WatsonX Training: Scaling Cloud-Native...- Davis Wertheimer & Supriyo Chakraborty
40:57 Lightning Talk: State of PyTorch - Alban Desmaison, Meta - Speakers: Alban Desmaison
15:31 Lightning Talk: TorchFix - a Linter for PyTorch-Using Code with Autofix Support - Sergii Dymchenko
12:57 What's New for PyTorch Developer Infrastructure - Eli Uriegas & Omkar Salpekar
10:53 Lightning Talk: Enhancements Made to MPS Backend in PyTorch for Applications Running... - Kulin Seth
10:15 PyTorch Korea User Group: The Beginning, Present, and Future - Junghwan Park
13:58 Lightning Talk: Triton Compiler - Thomas Raoux, OpenAI
12:06 Lightning Talk: Harnessing NVIDIA Tensor Cores: An Exploration of CUTLASS & OpenAI..- Matthew Nicely
26:44 Lightning Talk: PyTorch 2.0 on the ROCm Platform - Douglas Lehr, AMD
17:38 Lightning Talk: Accelerated Inference in PyTorch 2.X with Torch...- George Stefanakis & Dheeraj Peri
10:24 Lightning Talk: Large-Scale Distributed Training with Dynamo and... - Yeounoh Chung & Jiewen Tan
24:46 Lightning Talk: Streamlining Model Export with the New ONNX Exporter - Maanav Dalal & Aaron Bockover
12:22 Lightning Talk: Efficient Inference at the Edge: Performance You Need at the Lowest... - Felix Baum
09:04 Lightning Talk: Accelerating LLM Training on Cerebras Wafer-Scale... - Mark; Natalia; Behzad & Emad
12:01 Lightning Talk: Accelerating PyTorch Performance with OpenVINO - Yamini, Devang & Mustafa
09:47 PyTorch Edge: Developer Journey for Deploying AI Models Onto Edge Devices - Mengwei Liu & Angela Yi
12:08 PyTorch Edge: Vendor Integration Journey for Compilers and Backends - Kimish Patel, & Chen Lai
25:22 Lightning Talk: The Fastest Path to Production: PyTorch Inference in Python - Mark Saroufim, Meta
22:07 Lightning Talk: Exploring PiPPY, Tensor Parallel and Torchserve for Large... - Hamid Shojanazeri