Tracer

Tracer is a desktop app to render deep learning models:

• keep browsing history for easy trace back
• support viewing of embedded graphs
• track upstream and downstream
• search node by keyword
• support onnx, tensorflow, keras and pytorch models

Install

• git clone the tracer project
• pip install -r requirements.txt
• pip install onnx if need to view onnx models
• pip install tf>=2.2.0 if need to view tensorflow or keras models
• pip install torch if need to view pytorch models
• run "python setup.py install"
• open python terminal and run:

    from tracer import tracer
    tracer.show()

Trace back and forth

Tracer keeps history of highlighted nodes, user could rely on buttons from toolbar to go back and forth:

View embedded graphs

In property panel, select corresponding attribute, click on "..." button, embedded graph will be rendered in a new frame:

Track upstream and downstream

In property panel, select the input and click on "..." button to go to upstream node, same for output:

Search

Just type keyword in search input box on right-top corner, select matching item from drop-down and click on search button:

Note that searching happens recursively - nodes of embedded graph will all be included.

Limitations

By far only onnx, tensorflow and keras formats are supported.
Welcome to contribute.