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You're reading from  Mastering Transformers

Product typeBook
Published inSep 2021
PublisherPackt
ISBN-139781801077651
Edition1st Edition
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Authors (2):
Savaş Yıldırım
Savaş Yıldırım
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Savaş Yıldırım

Savaş Yıldırım graduated from the Istanbul Technical University Department of Computer Engineering and holds a Ph.D. degree in Natural Language Processing (NLP). Currently, he is an associate professor at the Istanbul Bilgi University, Turkey, and is a visiting researcher at the Ryerson University, Canada. He is a proactive lecturer and researcher with more than 20 years of experience teaching courses on machine learning, deep learning, and NLP. He has significantly contributed to the Turkish NLP community by developing a lot of open source software and resources. He also provides comprehensive consultancy to AI companies on their R&D projects. In his spare time, he writes and directs short films, and enjoys practicing yoga.
Read more about Savaş Yıldırım

Meysam Asgari- Chenaghlu
Meysam Asgari- Chenaghlu
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Meysam Asgari- Chenaghlu

Meysam Asgari-Chenaghlu is an AI manager at Carbon Consulting and is also a Ph.D. candidate at the University of Tabriz. He has been a consultant for Turkey's leading telecommunication and banking companies. He has also worked on various projects, including natural language understanding and semantic search.
Read more about Meysam Asgari- Chenaghlu

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Load testing using Locust

There are many applications we can use to load test services. Most of these applications and libraries provide useful information about the response time and delay of the service. They also provide information about the failure rate. Locust is one of the best tools for this purpose. We will use it to load test three methods for serving a Transformer-based model: using fastAPI only, using dockerized fastAPI, and TFX-based serving using fastAPI. Let's get started:

  1. First, we must install Locust:
    $ pip install locust

    This command will install Locust. The next step is to make all the services serving an identical task use the same model. Fixing two of the most important parameters of this test will ensure that all the services have been designed identically to serve a single purpose. Using the same model will help us freeze anything else and focus on the deployment performance of the methods.

  2. Once everything is ready, you can start load testing your...
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Mastering Transformers
Published in: Sep 2021Publisher: PacktISBN-13: 9781801077651

Authors (2)

author image
Savaş Yıldırım

Savaş Yıldırım graduated from the Istanbul Technical University Department of Computer Engineering and holds a Ph.D. degree in Natural Language Processing (NLP). Currently, he is an associate professor at the Istanbul Bilgi University, Turkey, and is a visiting researcher at the Ryerson University, Canada. He is a proactive lecturer and researcher with more than 20 years of experience teaching courses on machine learning, deep learning, and NLP. He has significantly contributed to the Turkish NLP community by developing a lot of open source software and resources. He also provides comprehensive consultancy to AI companies on their R&D projects. In his spare time, he writes and directs short films, and enjoys practicing yoga.
Read more about Savaş Yıldırım

author image
Meysam Asgari- Chenaghlu

Meysam Asgari-Chenaghlu is an AI manager at Carbon Consulting and is also a Ph.D. candidate at the University of Tabriz. He has been a consultant for Turkey's leading telecommunication and banking companies. He has also worked on various projects, including natural language understanding and semantic search.
Read more about Meysam Asgari- Chenaghlu