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PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models
book

PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models

by Pradeepta Mishra
December 2022
Intermediate to advanced content levelIntermediate to advanced
282 pages
5h 1m
English
Apress
Content preview from PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023
P. MishraPyTorch Recipeshttps://doi.org/10.1007/978-1-4842-8925-9_8

8. Distributed PyTorch Modelling, Model Optimization, and Deployment

Pradeepta Mishra1  
(1)
Bangalore, Karnataka, India
 

In this chapter, you will use PyTorch to implement the steps that are most commonly used in installation, training, and setting up distributed PyTorch for model training. The architecture followed for distributed data parallel training and distributed model parallel training can be explained using the following figures. The model optimization process reduces the model parameter’s size so that the model object becomes lighter. The bigger the model object, the slower the inference ...

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ISBN: 9781484289259Purchase LinkPublisher Website