EclipseAidge/resnet18
By EclipseAidge · ↓ 0 · ♥ 0 · Updated 2025-10-28
What's in this repo
This page lists the files in EclipseAidge/resnet18, including resnet18_cifar100.onnx, resnet18_imagenet_1k.onnx.
- 2 ONNX models (.onnx files)
- 4 files, including 2 .onnx, 1 .md
- Last updated 2025-10-28
ONNX files
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
Resnet18
This is an exported version of Resnet18 from Aidge.
The original version trained on Imagenet and the finetuned version on CIFAR100.
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 | ✔ |
| Backend CPU | ✔ |
| Export CPP | ❌ |
Model
- Operators: 171 (11 types)
- Add: 8
- BatchNorm2D: 20
- Conv2D: 3
- FC: 1
- Flatten: 1
- GlobalAveragePooling: 1
- Identity: 3
- PaddedConv2D: 17
- PaddedMaxPooling2D: 1
- Producer: 99
- ReLU: 17
CIFAR100
- Opset: 18
- Source: PyTorch
- Input
- size: [N, 3, 224, 224]
- format: [N, C, H, W]
- preprocessing:
- ?
- Output
- size: [N, 100]
ImageNet1k
- Opset: 8
- Source: ?
- Input
- size: [N, 3, 224, 224]
- format: [N, C, H, W]
- preprocessing:
- ?
- Output
- size: [N, 1000]
Model info
Created: 2025-04-02
Updated: 2025-10-28
View on Hugging Face