What is Digest AI?

Digest AI is an open-source tool created by AMD in partnership with the ONNX Community and the Linux Foundation. Its primary purpose is to assist developers in understanding, optimizing, and managing machine learning (ML) models more efficiently. The Digest AI machine learning analysis tool facilitates insights into the performance of various ML models.

Key Features of Digest AI

Digest AI Machine Learning Analysis

One of the standout features of Digest AI is its robust model analysis capability. Users can easily open and analyze ML models through a variety of methods. They can utilize the interface, keyboard shortcuts (CTRL+O), or simply drag and drop model files into the tool. By ensuring model integrity through pre-analysis checks, Digest AI lays the groundwork for accurate and effective evaluation.

Moreover, the tool provides a detailed summary of the models. It offers basic parameters like the number of input nodes and Floating Point Operations (FLOPs). For those seeking deeper insights, the tool presents advanced features such as operation histograms and model similarity graphs. These insights enable developers to grasp both high-level metrics and intricate model specifications.

Insights and Reporting

Digest AI shines in its ability to offer valuable insights and comprehensive reporting features. Basic details about each model include parameters and FLOPs, while advanced insights encapsulate operation histograms and a breakdown of FLOPs intensity per operation type. Users can compare their models with other popular models through intuitive similarity graphs.

Additionally, users have the option to save analysis reports. These reports may include heatmaps, node CSV reports, text summaries, and histogram images. This functionality ensures developers can revisit their findings or share them with team members for collaborative efforts.

Multi-Model Analysis

Another notable feature of Digest AI is its support for multi-model analysis. The multi-model view allows users to select a folder containing various models for comprehensive evaluation. Developers can easily identify both unique and duplicate models. This feature empowers users to analyze multiple models simultaneously, presenting a global summary of their findings.

Furthermore, users can save multi-model reports, consolidating all model summaries and global insights as CSV files. This efficient report generation process enhances the workflow for developers working with numerous models.

Integration with Hugging Face

Digest AI also boasts integration with Hugging Face, a popular platform for AI models. The beta Hugging Face module enables users to download ONNX models directly from the Hugging Face hub. They can analyze these models and view summaries without navigating away from the Digest AI interface, streamlining the user experience significantly.

Handling Dynamic Input Shapes

For developers working with models that have dynamic input shapes, Digest AI provides a handy utility. This feature allows users to specify static dimensions for their inputs, ensuring that these modifications can be saved effectively. This capability helps in making models more compatible and usable.

Digest API

Lastly, the powerful Digest API enables in-depth model analysis. Users can utilize this API for the ingestion, modification, and analysis of ML models. It allows for analyzing both single and multiple models, generating detailed reports that include model summaries and node lists. This makes it easier for developers to track changes and optimize their models.

Getting Started with Digest AI

Installation

Getting started with Digest AI is straightforward. Users can build the tool from the source code available on the official GitHub repository at github.com/onnx/digest. After building the tool, it can be run using the command line, ensuring that developers can seamlessly integrate it into their workflow.

Platform Compatibility

Digest AI is designed to work on multiple platforms, including Windows and Linux. This versatility allows a wider range of developers to utilize its features, regardless of their operating system preferences.

Benefits and Use Cases

The benefits of using Digest AI are significant. It helps streamline the machine learning development workflow by providing detailed analysis and multi-model support. The integration with popular platforms, such as Hugging Face, enhances its usability even further.

The user-friendly interface of Digest AI makes organizing and reporting on ML models intuitive. Developers can extract valuable insights easily, which aids them in optimizing their models effectively. This capability is particularly helpful for teams working on collaborative projects, where sharing insights can drive productivity.

Conclusion

In summary, Digest AI is a powerful and user-friendly tool that enhances machine learning development. It provides comprehensive model analysis, multi-model support, and seamless integration with other AI ecosystems. This tool is particularly beneficial for developers aiming to optimize their ML models and improve workflow efficiency. To learn more about Digest AI and explore its features, visit the GitHub repository or reach out to the support team via email at digestai@amd.com. For additional resources on explainable AI, you can check out this guide.