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---
datasets:
- ylecun/mnist
metrics:
- accuracy
pipeline_tag: image-classification
library_name: torch
---
# LeNet
Toy model mainly used to showcase Aidge in various tutorial, for example: https://eclipse.dev/aidge/source/Tutorial/101_first_step.html
## Aidge support
> Note: We tested this network for the following features. If you encounter any error please open an [issue](https://gitlab.eclipse.org/groups/eclipse/aidge/-/issues). Features not tested in CI may not be functional.
| Feature | Tested in CI |
| :---------: | :----------: |
| ONNX import | ✔ |
| Backend CPU | ❌ |
| Export CPP | ❌ |
## MNIST
* **Input**
* size: [N, 1, 28, 28]
* format: [N, C, H, W]
* preprocessing: `None`
* **Output**
* size: [N, 10]
### ONNX attributes
* Opset: <opset>
* Source: PyTorch
* Operators: 22 (6 types)
- Conv2D: 2
- FC: 3
- Flatten: 1
- MaxPooling2D: 2
- Producer: 10
- ReLU: 4
### Benchmark
> Coming soon |