Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Accelerate Model Training with PyTorch 2.X
Accelerate Model Training with PyTorch 2.X

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

eBook
$35.99
Paperback
$44.99
Subscription
Free Trial
Renews at $12.99p/m

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
Modal Close icon
Payment Processing...
tick Completed

Billing Address

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

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.

Who is this book for?

This book is for intermediate-level data scientists who want to learn how to leverage PyTorch to speed up the training process of their machine learning models by employing a set of optimization strategies and techniques. To make the most of this book, familiarity with basic concepts of machine learning, PyTorch, and Python is essential. However, there is no obligation to have a prior understanding of distributed computing, accelerators, or multicore processors.

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

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Apr 30, 2024
Length: 230 pages
Edition : 1st
Language : English
ISBN-13 : 9781805121916
Category :
Languages :
Tools :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
Modal Close icon
Payment Processing...
tick Completed

Billing Address

Product Details

Publication date : Apr 30, 2024
Length: 230 pages
Edition : 1st
Language : English
ISBN-13 : 9781805121916
Category :
Languages :
Tools :

Packt Subscriptions

See our plans and pricing
Modal Close icon
$12.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
$129.99 billed annually
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts
$179.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total $ 146.97
Mastering PyTorch
$51.99
Deep Learning for Time Series Cookbook
$49.99
Accelerate Model Training with PyTorch 2.X
$44.99
Total $ 146.97 Stars icon
Visually different images

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8
(9 Ratings)
5 star 77.8%
4 star 22.2%
3 star 0%
2 star 0%
1 star 0%
Filter icon Filter
Top Reviews

Filter reviews by




Didi Jul 06, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The deep learning (DL) revolution has completely transformed the fields of computer vision and natural language processing in recent years, and DL is becoming more and more important in many other areas of science and engineering. With increasing model sizes and limited hardware resources, the need to accelerate DL model training is becoming a critical part of almost any real-world work in DL.This book, written by a high-performance computing (HPC) expert, is a unique and comprehensive guide to accelerating DL model training using PyTorch. This practical guide begins with an introduction to DL model model training and ways to accelerate it, including topics such as model compilation and building efficient data pipelines. It proceeds with more advanced strategies for acceleration, like model simplification and using mixed precision. The last part of the book describes a variety of useful techniques and strategies for CPU, GPU and multi-node distributed training.To get the most out of this book, readers are expected to have some familiarity with machine learning, PyTorch, and Python. System analysts and system administrators responsible for providing and maintaining infrastructure for AI workloads can also greatly benefit from this book.To summarize, this book is a wonderful, up-to-date resource for researchers, data scientists, software engineers, and system administrators interested in accelerating DL model training using PyTorch and relevant libraries in its ecosystem. Highly recommended!
Amazon Verified review Amazon
tt0507 May 26, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book is written for intermediate—to advanced-level data scientists and engineers who want to harness the power of PyTorch. The chapter on building efficient data pipelines and simplifying models was very useful. The best part about this book was the detailed explanations of using GPU to train models. Many chapters included knowledge about optimizing CPU/GPU and serve as a great reference when training models on GPUs. Overall, the book has a good balance of visualization, code (both GitHub repo and code reference within the book), and explanation, which helps to understand the concepts explained in the book better.
Amazon Verified review Amazon
Artgor Jun 18, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I think this is a great book that will be useful to anyone who wants to improve their understanding of training and optimizing PyTorch models.The author starts with an overview of the training process and rapidly goes deeper, explaining technical details and intricacies of tinkering with everything, starting with the model itself and finishing with modifying the environment level.After that, the focus is moved to the training itself - we learn more about compiling models, pruning the model, processing data faster, and other approaches.Finally, the author shared approaches to distributed training - on a single machine or on a cluster.I liked the book's style —the interwoven switching between explanations in simpler terms and technical details, code examples, notes and links to external resources, and quizzes that checked my understanding of the text. Multiple times, after reading some sections, I thought, "Hey, but what about %approach name%?" and then I read about that exact approach in the next section! And I appreciate that the whole code is shared on GitHub.This book was captivating, and I recommend it. It will be useful even for experienced PyTorch practitioners.
Amazon Verified review Amazon
Sai Thanishvi May 21, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is easy to understand with copious code examples and experimental evaluations. It’s best for someone who wants to improve the performance of the model.
Amazon Verified review Amazon
Pratyush Jun 26, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is a great book for data scientists and engineers. It explains how to speed up training machine learning models using PyTorch 2.0. The book covers various techniques like using specialized libraries, optimizing data pipelines, and distributed training. It includes practical examples and clear explanations, making it easy to understand. This book is perfect for anyone who wants to make their model training faster and more efficient, whether you're a student, researcher, or professional in the field.
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

How do I buy and download an eBook? Chevron down icon Chevron up icon

Where there is an eBook version of a title available, you can buy it from the book details for that title. Add either the standalone eBook or the eBook and print book bundle to your shopping cart. Your eBook will show in your cart as a product on its own. After completing checkout and payment in the normal way, you will receive your receipt on the screen containing a link to a personalised PDF download file. This link will remain active for 30 days. You can download backup copies of the file by logging in to your account at any time.

If you already have Adobe reader installed, then clicking on the link will download and open the PDF file directly. If you don't, then save the PDF file on your machine and download the Reader to view it.

Please Note: Packt eBooks are non-returnable and non-refundable.

Packt eBook and Licensing When you buy an eBook from Packt Publishing, completing your purchase means you accept the terms of our licence agreement. Please read the full text of the agreement. In it we have tried to balance the need for the ebook to be usable for you the reader with our needs to protect the rights of us as Publishers and of our authors. In summary, the agreement says:

  • You may make copies of your eBook for your own use onto any machine
  • You may not pass copies of the eBook on to anyone else
How can I make a purchase on your website? Chevron down icon Chevron up icon

If you want to purchase a video course, eBook or Bundle (Print+eBook) please follow below steps:

  1. Register on our website using your email address and the password.
  2. Search for the title by name or ISBN using the search option.
  3. Select the title you want to purchase.
  4. Choose the format you wish to purchase the title in; if you order the Print Book, you get a free eBook copy of the same title. 
  5. Proceed with the checkout process (payment to be made using Credit Card, Debit Cart, or PayPal)
Where can I access support around an eBook? Chevron down icon Chevron up icon
  • If you experience a problem with using or installing Adobe Reader, the contact Adobe directly.
  • To view the errata for the book, see www.packtpub.com/support and view the pages for the title you have.
  • To view your account details or to download a new copy of the book go to www.packtpub.com/account
  • To contact us directly if a problem is not resolved, use www.packtpub.com/contact-us
What eBook formats do Packt support? Chevron down icon Chevron up icon

Our eBooks are currently available in a variety of formats such as PDF and ePubs. In the future, this may well change with trends and development in technology, but please note that our PDFs are not Adobe eBook Reader format, which has greater restrictions on security.

You will need to use Adobe Reader v9 or later in order to read Packt's PDF eBooks.

What are the benefits of eBooks? Chevron down icon Chevron up icon
  • You can get the information you need immediately
  • You can easily take them with you on a laptop
  • You can download them an unlimited number of times
  • You can print them out
  • They are copy-paste enabled
  • They are searchable
  • There is no password protection
  • They are lower price than print
  • They save resources and space
What is an eBook? Chevron down icon Chevron up icon

Packt eBooks are a complete electronic version of the print edition, available in PDF and ePub formats. Every piece of content down to the page numbering is the same. Because we save the costs of printing and shipping the book to you, we are able to offer eBooks at a lower cost than print editions.

When you have purchased an eBook, simply login to your account and click on the link in Your Download Area. We recommend you saving the file to your hard drive before opening it.

For optimal viewing of our eBooks, we recommend you download and install the free Adobe Reader version 9.