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---
datasets:
- uoft-cs/cifar10
pipeline_tag: image-classification
---
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](https://gitlab.eclipse.org/groups/eclipse/aidge/-/issues). 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] |