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Lightning Talk: d-Matrix LLM Compression Flow Based on Torch.Fx: Simplify... Zifei Xu & Tristan Webb
Lightning Talk: What's New in Torch.onnx - Maanav Dalal & Justin Chu, Microsoft
Torch Tutorial (Alex Wiltschko, Twitter)
Programming Model for Export - PyTorch Compiler Series Episode 1
Model-Changing Transforms With Torch.compile - Thomas Viehmann, Lightning AI
torch.nn.CrossEntropyLoss Explained
torch.compile: The Missing Manual
Give me 31 minutes, I will make PyTorch click forever
#40 Understand torch.cat() and torch.stack() in PyTorch in 10 minutes
Torch func: Functional Transforms in PyTorch
PyTorch in 1 Hour
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Last Updated: October 15, 2026
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In this episode, we explore PyTorch's Disclaimer/Disclosure: Some of the content was synthetically produced using various Generative AI (artificial intelligence) tools; so ... Lightning Talk: d-Matrix LLM Compression Flow Based on The talks at the Deep Learning School on September 24/25, 2016 were amazing. I clipped out individual talks from the full live ... Export creates ahead-of-time IR representations of PyTorch models that provide higher safety and coverage than previous ... In this video, we take a close look at nn.CrossEntropyLoss, one of the most widely used loss functions in PyTorch for single-label, ... Hear from Edward Yang, Research Engineer for PyTorch at Meta about utilizing the manual for Don't SFX? youtu.be/5m-u4zEIy5E 00:00 - Intro: the five-line PyTorch training loop 00:53 - Tensors: Speaker: Shagun Sodhani, Tech Lead, Meta Abstract: This talk will focus on using functional transforms in PyTorch using the ... Don't the Sound Effect?:* youtu.be/GaLL7ZeXsWk *LLM Training Playlist:* ...