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  • Book Overview & Buying Accelerate Model Training with PyTorch 2.X
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Accelerate Model Training with PyTorch 2.X

Accelerate Model Training with PyTorch 2.X

By : Maicon Melo Alves
4.4 (10)
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Accelerate Model Training with PyTorch 2.X

Accelerate Model Training with PyTorch 2.X

4.4 (10)
By: Maicon Melo Alves

Overview of this 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.
Table of Contents (17 chapters)
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1
Part 1: Paving the Way
4
Part 2: Going Faster
10
Part 3: Going Distributed

Accelerating data loading

Accelerating data loading is crucial to get an efficient data pipeline. In general, the following two changes are enough to get the work done:

  • Optimizing a data transfer between the CPU and GPU
  • Increasing the number of workers in the data pipeline

Putting it that way, these changes may sound tougher to implement than they are. Making these changes is quite simple – we just need to add a couple of parameters when creating the DataLoader instance for the data pipeline. We will cover this in the following subsections.

Optimizing a data transfer to the GPU

To transfer data from main memory to the GPU, and vice versa, the device driver must ask the operating system to pin or lock a portion of memory. After receiving access to that pinned memory, the device driver starts to copy data from the original memory location to the GPU, but using the pinned memory as a staging area:

Figure 5.6 – Data transfer between main memory and GPU

Figure 5.6 – Data transfer...

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Accelerate Model Training with PyTorch 2.X
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