Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Caffe2 Quick Start Guide
  • Table Of Contents Toc
  • Feedback & Rating feedback
Caffe2 Quick Start Guide

Caffe2 Quick Start Guide

By : Ashwin Nanjappa
5 (2)
close
close
Caffe2 Quick Start Guide

Caffe2 Quick Start Guide

5 (2)
By: Ashwin Nanjappa

Overview of this book

Caffe2 is a popular deep learning library used for fast and scalable training, and inference of deep learning models on different platforms. This book introduces you to the Caffe2 framework and demonstrates how you can leverage its power to build, train, and deploy efficient neural network models at scale. The Caffe 2 Quick Start Guide will help you in installing Caffe2, composing networks using its operators, training models, and deploying models to different architectures. The book will also guide you on how to import models from Caffe and other frameworks using the ONNX interchange format. You will then cover deep learning accelerators such as CPU and GPU and learn how to deploy Caffe2 models for inference on accelerators using inference engines. Finally, you'll understand how to deploy Caffe2 to a diverse set of hardware, using containers on the cloud and resource-constrained hardware such as Raspberry Pi. By the end of this book, you will not only be able to compose and train popular neural network models with Caffe2, but also deploy them on accelerators, to the cloud and on resource-constrained platforms such as mobile and embedded hardware.
Table of Contents (9 chapters)
close
close

Testing the Caffe2 Python API

We have now installed Caffe2, but we need to make sure it is correctly installed and that its Python API is working. An easy way to do that is to return to your home directory and check whether the Python API of Caffe2 is imported and can execute correctly. This can be done using the following commands:

$ cd ~
$ python -c "from caffe2.python import core"

Do not run the preceding command from within the Caffe2 directories. This is to avoid the ambiguity of Python having to pick between your installed Caffe2 files and those in the source or build directories.

If your Caffe2 is not installed correctly, you may see an error of some kind, such as the one shown in the following code block, for example:

$ python -c "from caffe2.python import core"
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named caffe2.python

If your Caffe2 has been installed correctly, then you may not see an error. However, you may still get a warning if you don't have a GPU:

$ python -c "from caffe2.python import core"
WARNING:root:This caffe2 python run does not have GPU support. Will run in CPU only mode.
Visually different images
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Caffe2 Quick Start Guide
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon