Adapter for ai-edge-model-explorer to support ONNX models
Project description
Model Explorer ONNX Adapter
ONNX Adapter for google-ai-edge/model-explorer
Installation
pip install --upgrade model-explorer-onnx
Usage
model-explorer --extensions=model_explorer_onnx
# Or as a shortcut
onnxvis
# Supply model path
onnxvis model.onnx
[!NOTE] Model Explorer only supports WSL on Windows.
Read more on the Model Explorer User Guide.
Notes on representation
Graph input/output/initializers in ONNX are values (edges), not nodes. A node is displayed here for visualization. Graph inputs that are initialized by initializers are displayed as InitializedInput
, and are displayed closer to nodes that use them.
Color Themes
Get node color themes here
Screenshots
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for model_explorer_onnx-0.2.5.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3d66e8b5bccdf80bfce964f56aa21fc895abfd09e8f7a795b878f86c5fac4b5c |
|
MD5 | adfe73662721cb8ead6fd78173640335 |
|
BLAKE2b-256 | 2ed41bf40b06291f6d01d8c7e7518fd94b417f46be10046195d1d3949dad2367 |
Close
Hashes for model_explorer_onnx-0.2.5-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | fca58315d78f9349e036d383e8caadd99d681d0cc4463898f3c40e23af47efe8 |
|
MD5 | 97f8e67b5113796300e820be74fbeacb |
|
BLAKE2b-256 | edb057b9368013c63d2e1dcb69df65b3a089b07ae74b255211ae5387c04f1161 |