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v0.2.0 — Import anything
One-click import gets real.
New
- Format auto-detection from file content: PyTorch, ONNX, safetensors (recognized)
- ONNX parser with true DAG edges (tensor provenance) — branched nets come out correct
- Model family classifier: MLP / CNN / Transformer
nnviz serve: drag & drop any model file on the page, the graph rebuilds live- Clear error reports in the CLI, the server, and the viewer
Install
pip install torch --index-url https://download.pytorch.org/whl/cpu onnx
pip install git+https://github.com/CLVwp/Neural_Network_Visualizer.git
nnviz serve # then drop a .pth or .onnx on the pageKnown limits
- Transposed MatMul weights may swap in/out feature counts.
- safetensors files are detected but not parsed yet (v0.5).