agviz
AutoGrad Visualizer (agviz): Visualize dependencies between states/parameters in autograd tree.
Unlike related packages (e.g. torvhviz), supports visualizing internal model states and distinguishing states/parameters. Also supports more complex visualization based on traversals of graph and merging nodes.
Installation:
In the root directory run pip install -e .
You can then install the library in your python code using `from adviz import render' (see Examples)
Examples:
examples/gru: Render the hidden states of a GRU for 5 timesteps, visualizing parameters and states.
examples/rnn: Render the hidden states of a RNN for 5 timesteps, visualizing parameters and states. Also, play with "full" rendering, where we show all the intermediate functions.
Release files for agviz 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| agviz-1.0.1.tar.gz | 5.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| agviz-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.2 kB
Release files / agviz-1.0.1.tar.gz
| Download URL | agviz-1.0.1.tar.gz |
|---|---|
| Size | 5.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / agviz-1.0.1-py3-none-any.whl
| Download URL | agviz-1.0.1-py3-none-any.whl |
|---|---|
| Size | 6.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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twine/6.2.0 CPython/3.11.9
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