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Co-Authored-By: woailaosang <woailaosang@bupt.edu.cn> |
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README.md | ||
get_model_graph.py |
README.md
NeuronBlocks Model Visualizer
In NeuronBlocks, a model visualizer is provided for visualization and configuration correctness checking, which helps users to visualize the model architecture easily during debugging.
Installation
Two libraries are needed for NeuronBlocks Model Visualizer: graphviz, web.py.
You can install them via pip:
pip install graphviz
pip install web.py==0.40.dev0
Note: For Windows, please visit Graphviz Windows Packages to download graphviz, then install it and set the PATH variable.
Usage
Model Visualizer has 2 modes:
- Command Line Mode: View model architecture via command line.
- Browser Mode: Firstly build a model visualizer server, then view model architecture via a browser.
Command Line Mode
View model architecture via command line mode, by running:
python get_model_graph.py --conf_path ../model_zoo/demo/conf.json --graph_path ./graph
Arguments:
--conf_path: [necessary] Path of the input JSON config file.
--graph_path: [optional, default: './graph'] Path of the ouput model graph file.
You will get two file: graph.gv and graph.gv.svg. Open graph.gv.svg, then view the model architecture.
Browser Mode
Firstly, start Model Visualizer server:
cd server/
python main.py 8080
Then, you can access a model visualizer in your browser. For Linux, visit http://<your_machine_ip>:8080 . For Windows, visit http://localhost:8080 .
Finally, input the JSON config in Config Json field, click Submit button, and get the model architecture.