talon-viz - Interactive Visualization for TALON IR Graphs
talon-viz generates beautiful, interactive HTML visualizations of TALON IR computation graphs using D3.js and ELK for automatic layout. View your neural network architectures in Jupyter notebooks or export standalone HTML files.
talon-viz provides an intuitive way to explore and understand TALON IR computation graphs, making it easier to debug, analyze, and document neuromorphic neural network architectures.
Read more about TALON IR in our documentation
Installation
uv add talon-viz@git+ssh://git@gitlab.com/cvision-dev/type1compute/t1cviz.git
Or with Jupyter support:
uv add "talon-viz[jupyter]@git+ssh://git@gitlab.com/cvision-dev/type1compute/t1cviz.git"
Quick Start
from talon import ir, viz
# Load a graph
graph = ir.read('model.t1c')
# Display interactively (opens browser or shows in Jupyter)
viz.visualize(graph, title="My SNN Model")
Display Methods
Browser Display
Outside Jupyter, opens in default browser:
viz.visualize(graph, title="My SNN Model")
# Output: Visualization written to: /tmp/talon-viz/My_SNN_Model_xxx.html
Jupyter Display
In Jupyter notebooks, displays as embedded iframe:
viz.visualize(graph, title="My SNN", width=960, height=640)
Export to File
Save as standalone HTML:
path = viz.export_html(graph, "model.html", title="Production Model")
print(f"Saved to: {path}")
The HTML is self-contained - no server needed.
Features
Graph Visualization (Left Panel)
- Dagre layout: Automatic hierarchical graph layout
- SNN-specific styling: LIF neurons shown with distinctive spiking icon
- Interactive: Pan, zoom, click nodes to inspect
- Parameter display: Shows tau/theta on neuron nodes, kernel sizes on convolutions
Data Explorer (Right Panel)
- HDF5 tree: Navigate graph structure
- Array visualization: Heatmaps for weights, line plots for biases
- Statistics: Min, max, mean, std for all arrays
- Bidirectional sync: Click in tree to highlight node in graph
Node Colors
| Primitive | Color | Description |
|---|---|---|
| Input | Green | Graph entry points |
| Output | Red | Graph exit points |
| Affine | Blue | Linear layers |
| SpikingAffine | Purple | Quantized affine with spike hints |
| LIF | Cyan | Leaky integrate-and-fire neurons |
| Conv2d | Orange | 2D convolution |
| SepConv2d | Deep Orange | Depthwise separable convolution |
| MaxPool2d | Brown | Max pooling |
| AvgPool2d | Blue Grey | Average pooling |
| Flatten | Grey | Reshape operations |
| Skip | Yellow | Residual/skip connections |
Development
From the repo root (requires talon-ir installed first):
uv pip install -e .
pytest tests/ -v
1 maintainer
Metadata
1 maintainer
Release files for talon-viz 0.0.3
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