Accelerate Model Training with PyTorch 2.X
Accelerate Model Training with PyTorch 2.X
Build more accurate models by boosting the model training process
About the Book
This book, written by an HPC expert with over 25 years of experience, guides you through enhancing model training performance using PyTorch. Here you’ll learn how model complexity impacts training time and discover performance tuning levels to expedite the process, as well as utilize PyTorch features, specialized libraries, and efficient data pipelines to optimize training on CPUs and accelerators. You’ll also reduce model complexity, adopt mixed precision, and harness the power of multicore systems and multi-GPU environments for distributed training. By the end, you'll be equipped with techniques and strategies to speed up training and focus on building stunning models.
About the Author
Table of Contents
- Deconstructing the Training Process
- Training Models Faster
- Compiling the Model
- Using Specialized Libraries
- Building an Efficient Data Pipeline
- Simplifying the Model
- Adopting Mixed Precision
- Distributed Training at a Glance
- Training with Multiple CPUs
- Training with Multiple GPUs
- Training with Multiple Machines
About the Publisher
This book is published on Leanpub by Packt Publishing Ltd
Packt Publishing are an established global technical learning content provider, founded in Birmingham, UK with over twenty years’ experience in delivering premium rich content from ground-breaking authors on a wide range of emerging and popular technologies. Our titles have global relevance our multimedia portfolio includes over 9,000 books, e-books, audiobooks and video courses. www.packtpub.com
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