EclipseAidge/deep_autoencoder
By EclipseAidge · ↓ 0 · ♥ 0 · Updated 2025-12-02
What's in this repo
This page lists the files in EclipseAidge/deep_autoencoder, including deep_autoencoder.onnx.
- 1 ONNX models (.onnx files)
- 3 files, including 1 .md, 1 .onnx
- Last updated 2025-12-02
ONNX files
| File | Size | Download |
|---|---|---|
| deep_autoencoder.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
Deep Auto Encoder
This is an exported version of Deep Auto Encoder from Aidge.
Aidge support
Note: We tested this network for the following features. If you encounter any error please open an issue. Features not tested in CI may not be functional.
| Feature | Tested in CI |
|---|---|
| ONNX import | ✔️ |
| Runtime CPU | ✔️ |
| Runtime CUDA | ✔️ |
| Export CPU | ✔️ |
Model
- Operators: 39 (3 types)
- Producer: 20
- ReLU: 9
- FC: 10
eval_data_test_ToyCar
- Opset: 11
- Source: PyTorch
- Input
- size: [N, 640]
- format: [N, C]
- preprocessing:
- ?
- Output
- size: [N, 640]
Files (3)
.gitattributes
README.md
deep_autoencoder.onnx
ONNX
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