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PyTorch

PyTorch

Use New Relic quickstart to monitor and analyze your PyTorch models.

What's included?

alerts
3
PyTorch observability quickstart contains 3 alerts. These alerts detect changes in key performance metrics. Integrate these alerts with your favorite tools (like Slack, PagerDuty, etc.) and New Relic will let you know when something needs your attention.
Data Drift
This alert is triggered if data drift exceeds 1 for 5 minutes.
Model Drift
This alert is triggered if model drift exceeds 1 for 5 minutes.
Predictions
This alert is triggered if prediction exceeds 1000 for 5 minutes.
dashboards
0
This quickstart doesn't include any dashboards. Do you think it should?
You can edit this quickstart to add helpful components. View the repository and open a pull request.
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Why should you monitor PyTorch?

PyTorch is an open-source machine learning library widely employed to develop and train neural network-based deep learning models. New Relic's PyTorch quickstart performance monitoring provides out-of-the-box observability for PyTorch models. By using the PyTorch quickstart, you will be able to:

Identify performance bottlenecks:

Enhance the efficiency of your PyTorch models by pinpointing and optimizing performance-heavy areas.

Ensure model accuracy:

Monitor the output of your models in real-time to detect and correct discrepancies, thereby ensuring the desired model performance.

Error identification and resolution:

Active monitoring allows for quick detection and rectification of errors, ensuring the reliability and robustness of your PyTorch models.

Comprehensive monitoring quickstart for PyTorch models

With New Relic's PyTorch quickstart, you can actively oversee the performance of your PyTorch models, gaining insights to ensure they run effectively and efficiently, especially in real-world deep learning applications.

What’s included in the PyTorch quickstart?

New Relic PyTorch monitoring quickstart provides quality out-of-the-box reporting:

  • Obtain insights into how your PyTorch models are performing in real-time
  • Alerts on model performance: Set up proactive notifications for any unusual behavior or degradation in the performance of your models

How to use this quickstart

  • Sign Up for a free New Relic account or Log In to your existing account.
  • Click the install button.
  • Install the quickstart to get started or improve how you monitor your environment. They're filled with pre-built resources like dashboards, instrumentation, and alerts.
Authors
New Relic
Jyothi Surampudi
Support
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