EclipseAidge/resnet8
By EclipseAidge · ↓ 0 · ♥ 0 · Updated 2025-12-02
What's in this repo
This page lists the files in EclipseAidge/resnet8, including resnet8.onnx.
- 1 ONNX models (.onnx files)
- 3 files, including 1 .md, 1 .onnx
- Last updated 2025-12-02
ONNX files
| File | Size | Download |
|---|---|---|
| resnet8.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
https://github.com/mlcommons/tiny/blob/master/benchmark/training/image_classification/trained_models/pretrainedResnet.tflite
Resnet8
- Origin: https://github.com/mlcommons/tiny/blob/master/benchmark/training/image_classification/
Model
- ONNX attributes:
- opset : 13
- Operators: 45 (10 types)
- Add: 3
- Conv2D: 2
- PaddedConv2D: 7
- Producer: 21
- ReLU: 7
- AveragePooling: 1
- Transpose: 1
- Reshape: 1
- FC: 1
- Softmax: 1
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 | ✔️ |
CIFAR10
- Input:
- size: [N, 3, 32, 32]
- format : NCHW
- Output
- size: [N, 10]
Model info
Created: 2025-11-10
Updated: 2025-12-02
View on Hugging Face