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
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.
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-0.2.4.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | d79a5b10a51c8dcf9e12c1e8cea875940285dbb6b2519a5dccbd9c63d9700bd4 |
|
MD5 | 05ac865797775941e331f27caa36939e |
|
BLAKE2b-256 | 10385a3e5ddbfbf91db41761047c3870a20dfaff516f4d583f19e9305f878057 |
Close
Hashes for model_explorer_onnx-0.2.4-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2a83adaef4595c28e8a6cf318f07833bdc426b32383e5bdab36fe7e7e1face3a |
|
MD5 | add825fce795856d29eaeaf9b085b647 |
|
BLAKE2b-256 | 28e0b80387522f9665c4c2ff792dce0beadede80621f4f5d7050734e08f7857c |