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-0.2.6.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 67177f58dbd43e14c19d6b614a2be97c01848d4c3f428cc598c267384d996630 |
|
MD5 | 1907ee0580fbd2959e5ac1d91ca6739c |
|
BLAKE2b-256 | 3f5cc49d3f9188b4f425ac0e26fed8e87bc5c91e21acaa85f9b4bec43ccb8db3 |
Close
Hashes for model_explorer_onnx-0.2.6-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 04e35d118203762daa0cc96df97dadda4fb29e895d50a4db4987053ccbbd269b |
|
MD5 | d88f66645a3dce7f948064c4aee3cefc |
|
BLAKE2b-256 | f4243b7caa7d8b3633317da378cd753b1b4091daffeea958d3db2a7f39722d2c |