---
datasets:
- cifar10
metrics:
- accuracy
pipeline_tag: image-classification
---

# ResNet-20

ResNet-20 image classification model for CIFAR-10. The pretrained PyTorch weights and model implementation were downloaded from [chenyaofo/pytorch-cifar-models](https://github.com/chenyaofo/pytorch-cifar-models). The PyTorch model was converted to ONNX for this repository.


## CIFAR-10 32 × 32

- Origin: [chenyaofo/pytorch-cifar-models](https://github.com/chenyaofo/pytorch-cifar-models) (`cifar10_resnet20`)
- Input:
  - size: `[1, 3, 32, 32]`
  - format: NCHW
- Output:
  - size: `[1, 10]` (CIFAR-10 class scores)
- ONNX:
  - opset: 11
  - Operators: 53 (7 types)
    - Add: 9
    - Constant: 1
    - Conv: 21
    - Gemm: 1
    - GlobalAveragePool: 1
    - Relu: 19
    - Reshape: 1