Model Explorer
Model Explorer offers an intuitive and hierarchical visualization of model graphs. It organizes model operations into nested layers, enabling users to dynamically expand or collapse these layers. It also provides a range of features to facilitate model exploration and debugging, including the ability to highlight input and output operations, overlay metadata on nodes, display layers in interactive pop-ups, perform searches, show identical layers, GPU-accelerated graph rendering, among others. It currently supports TFLite, TF, TFJS, MLIR, and PyTorch (Exported Program) model format, and provides an extension framework for developers to easily add support for additional formats.
Please check out our Wiki for more details:
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Release files for ai-edge-model-explorer 0.1.34
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| ai_edge_model_explorer-0.1.34.tar.gz | 2.2 MB | Without provenance | Details for ai_edge_model_explorer-0.1.34.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ai_edge_model_explorer-0.1.34-py3-none-any.whl | Python 3 | none | any | Details for ai_edge_model_explorer-0.1.34-py3-none-any.whl |
Total release size: 4.4 MB
Release files / ai_edge_model_explorer-0.1.34.tar.gz
| Download URL | ai_edge_model_explorer-0.1.34.tar.gz |
|---|---|
| Size | 2.2 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/7.0.0 CPython/3.12.10
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Release files / ai_edge_model_explorer-0.1.34-py3-none-any.whl
| Download URL | ai_edge_model_explorer-0.1.34-py3-none-any.whl |
|---|---|
| Size | 2.2 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.10
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Security for ai-edge-model-explorer 0.1.34
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