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Accelerate Model Training with PyTorch 2.X

Accelerate Model Training with PyTorch 2.X: Build more accurate models by boosting the model training process

By Maicon Melo Alves
$35.99 $24.99
Book Apr 2024 230 pages 1st Edition
eBook
$35.99 $24.99
Print
$44.99
Subscription
$15.99 Monthly
eBook
$35.99 $24.99
Print
$44.99
Subscription
$15.99 Monthly

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Product Details


Publication date : Apr 30, 2024
Length 230 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781805120100
Category :
toc View table of contents toc Preview Book toc Download Code

Key benefits

  • Reduce the model-building time by applying optimization techniques and approaches
  • Harness the computing power of multiple devices and machines to boost the training process
  • Focus on model quality by quickly evaluating different model configurations
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Penned by an expert in High-Performance Computing (HPC) with over 25 years of experience, this book is your guide to enhancing the performance of model training using PyTorch, one of the most widely adopted machine learning frameworks. You’ll start by understanding how model complexity impacts training time before discovering distinct levels of performance tuning to expedite the training process. You’ll also learn how to use a new PyTorch feature to compile the model and train it faster, alongside learning how to benefit from specialized libraries to optimize the training process on the CPU. As you progress, you’ll gain insights into building an efficient data pipeline to keep accelerators occupied during the entire training execution and explore strategies for reducing model complexity and adopting mixed precision to minimize computing time and memory consumption. The book will get you acquainted with distributed training and show you how to use PyTorch to harness the computing power of multicore systems and multi-GPU environments available on single or multiple machines. By the end of this book, you’ll be equipped with a suite of techniques, approaches, and strategies to speed up training , so you can focus on what really matters—building stunning models!

What you will learn

Compile the model to train it faster Use specialized libraries to optimize the training on the CPU Build a data pipeline to boost GPU execution Simplify the model through pruning and compression techniques Adopt automatic mixed precision without penalizing the model's accuracy Distribute the training step across multiple machines and devices

What do you get with eBook?

Feature icon Instant access to your Digital eBook purchase
Feature icon Download this book in EPUB and PDF formats
Feature icon Access this title in our online reader with advanced features
Feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Apr 30, 2024
Length 230 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781805120100
Category :

Table of Contents

17 Chapters
Preface Packt Packt
Part 1: Paving the Way Packt Packt
Chapter 1: Deconstructing the Training Process Packt Packt
Chapter 2: Training Models Faster Packt Packt
Part 2: Going Faster Packt Packt
Chapter 3: Compiling the Model Packt Packt
Chapter 4: Using Specialized Libraries Packt Packt
Chapter 5: Building an Efficient Data Pipeline Packt Packt
Chapter 6: Simplifying the Model Packt Packt
Chapter 7: Adopting Mixed Precision Packt Packt
Part 3: Going Distributed Packt Packt
Chapter 8: Distributed Training at a Glance Packt Packt
Chapter 9: Training with Multiple CPUs Packt Packt
Chapter 10: Training with Multiple GPUs Packt Packt
Chapter 11: Training with Multiple Machines Packt Packt
Index Packt Packt
Other Books You May Enjoy Packt Packt

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