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Unit 9.4 | Compiling PyTorch Models | Part 2 | Code Demo

Unit 9.4 | Compiling PyTorch Models | Part 2 | Code Demo

Follow along with

Unit 9.4 | Compiling PyTorch Models | Part 1 | Understanding Static and Dynamic Graphs

Unit 9.4 | Compiling PyTorch Models | Part 1 | Understanding Static and Dynamic Graphs

Follow along with

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PyTorch in 100 Seconds

PyTorch in 100 Seconds

PyTorch

9. Hardware and softwares - 9.4 PyTorch (nn.Sequential, nn.Module)

9. Hardware and softwares - 9.4 PyTorch (nn.Sequential, nn.Module)

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Extending PyTorch for Custom Compiler Targets

Extending PyTorch for Custom Compiler Targets

Speaker: Arash Taheri-Dezfouli,

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Building Models with PyTorch

Building Models with PyTorch

PyTorch

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

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torch compile and Diffusers - A Hands On Guide to Peak Performance - PyTorch Compiler Series

torch compile and Diffusers - A Hands On Guide to Peak Performance - PyTorch Compiler Series

Sayak Paul introduces Diffusers, a Python library

PyTorch for Deep Learning & Machine Learning – Full Course

PyTorch for Deep Learning & Machine Learning – Full Course

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Lightning Talk: AOTInductor: Ahead-of-Time Compilation for PT2 Exported Models - Bin Bao, Meta

Lightning Talk: AOTInductor: Ahead-of-Time Compilation for PT2 Exported Models - Bin Bao, Meta

Lightning Talk: AOTInductor: Ahead-of-Time

PyTorch Tutorial 17 - Saving and Loading Models

PyTorch Tutorial 17 - Saving and Loading Models

New Tutorial series about Deep Learning with

PyTorch Edge: Vendor Integration Journey for Compilers and Backends - Kimish Patel, & Chen Lai

PyTorch Edge: Vendor Integration Journey for Compilers and Backends - Kimish Patel, & Chen Lai

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Convolutional Neural Network Model - Deep Learning with PyTorch 16

Convolutional Neural Network Model - Deep Learning with PyTorch 16

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