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-0.2.7.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 357a1d9fb90e48d81d4d83eddad0176104343b6534cbac855dea65d321c03364 |
|
MD5 | 93d51b8e965ea5718691b4d5c319a0f8 |
|
BLAKE2b-256 | 383c7ba31da1df175679805e4a25a92e622e9c7a00f6921fead20c17a4156dc5 |
Close
Hashes for model_explorer_onnx-0.2.7-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d2394089e22069b279069bcbdf3d7a2c3a4886990eeaf89de3aa5c657b1c404a |
|
MD5 | 864808613f807642039c6ee57f956ced |
|
BLAKE2b-256 | b6593de700e899d02c666f385914a861c8e614e6a36f229cc5c4dddcb4b66925 |