Media Summary: Hear from Edward Yang, Research Engineer for PyTorch at Meta about utilizing the In this video, I explain the paper “depyf: Open the Opaque Box of PyTorch PyTorch 2.0: Unlocking the Power of Deep Learning with the

Torch Compile The Missing Manual - Detailed Analysis & Overview

Hear from Edward Yang, Research Engineer for PyTorch at Meta about utilizing the In this video, I explain the paper “depyf: Open the Opaque Box of PyTorch PyTorch 2.0: Unlocking the Power of Deep Learning with the What if you could double your PyTorch model's speed with a single line of code? Discover Join Red Hat's vLLM and Meta's PyTorch experts to learn about Lightning Talk: Accelerating PyTorch Models With

A 1-billion-parameter model writes a real, fused GPU kernel — and an immutable "referee" proves it's correct AND faster than ...

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torch.compile: The Missing Manual
Blazing Fast GenAI Inference With Torch.compile - Richard Zou, Meta
depyf Explained: Opening the Black Box of torch.compile in PyTorch 2.x
torch.compile Practice and Optimization in Different Scenarios - Yichen Yan, Alibaba Cloud
PyTorch 2.0: Unlocking the Power of Deep Learning with the Torch Compile API - Christian Keller
PyTorch Fundamentals · 16/17 · Supercharging Speed with torch.compile
Inside torch.compile Guards: How They Work, What They Cost, & Ways to Optimize, PyTorch Compiler
[vLLM Office Hours #26] Intro to torch.compile and how it works with vLLM
Implementing a Custom Torch.Compile Backend - A Case Study - Maanav Dalal & Yulong Wang, Microsoft
Lightning Talk: Accelerating PyTorch Models With Torch.compile's C++ Wrapper Mode - Bin Bao, Meta
torch.compile From Scratch - Tutorial
OUROBOROS: a 1B model writes verified GPU kernels that beat torch.compile
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torch.compile: The Missing Manual

torch.compile: The Missing Manual

Hear from Edward Yang, Research Engineer for PyTorch at Meta about utilizing the

Blazing Fast GenAI Inference With Torch.compile - Richard Zou, Meta

Blazing Fast GenAI Inference With Torch.compile - Richard Zou, Meta

Blazing Fast GenAI Inference With

depyf Explained: Opening the Black Box of torch.compile in PyTorch 2.x

depyf Explained: Opening the Black Box of torch.compile in PyTorch 2.x

In this video, I explain the paper “depyf: Open the Opaque Box of PyTorch

torch.compile Practice and Optimization in Different Scenarios - Yichen Yan, Alibaba Cloud

torch.compile Practice and Optimization in Different Scenarios - Yichen Yan, Alibaba Cloud

torch

PyTorch 2.0: Unlocking the Power of Deep Learning with the Torch Compile API - Christian Keller

PyTorch 2.0: Unlocking the Power of Deep Learning with the Torch Compile API - Christian Keller

PyTorch 2.0: Unlocking the Power of Deep Learning with the

PyTorch Fundamentals · 16/17 · Supercharging Speed with torch.compile

PyTorch Fundamentals · 16/17 · Supercharging Speed with torch.compile

What if you could double your PyTorch model's speed with a single line of code? Discover

Inside torch.compile Guards: How They Work, What They Cost, & Ways to Optimize, PyTorch Compiler

Inside torch.compile Guards: How They Work, What They Cost, & Ways to Optimize, PyTorch Compiler

torch

[vLLM Office Hours #26] Intro to torch.compile and how it works with vLLM

[vLLM Office Hours #26] Intro to torch.compile and how it works with vLLM

Join Red Hat's vLLM and Meta's PyTorch experts to learn about

Implementing a Custom Torch.Compile Backend - A Case Study - Maanav Dalal & Yulong Wang, Microsoft

Implementing a Custom Torch.Compile Backend - A Case Study - Maanav Dalal & Yulong Wang, Microsoft

Implementing a Custom

Lightning Talk: Accelerating PyTorch Models With Torch.compile's C++ Wrapper Mode - Bin Bao, Meta

Lightning Talk: Accelerating PyTorch Models With Torch.compile's C++ Wrapper Mode - Bin Bao, Meta

Lightning Talk: Accelerating PyTorch Models With

torch.compile From Scratch - Tutorial

torch.compile From Scratch - Tutorial

Advanced

OUROBOROS: a 1B model writes verified GPU kernels that beat torch.compile

OUROBOROS: a 1B model writes verified GPU kernels that beat torch.compile

A 1-billion-parameter model writes a real, fused GPU kernel — and an immutable "referee" proves it's correct AND faster than ...

Maximizing Training Throughput Using Torch.Compile and FSDP - L. Chu, A. Viros i Martin, B. Vaughan

Maximizing Training Throughput Using Torch.Compile and FSDP - L. Chu, A. Viros i Martin, B. Vaughan

Maximizing Training Throughput Using