---
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]