datasets:
- timm/mini-imagenet metrics:
- accuracy tags:
- Classification
- arxiv:<2201.03545> # A ConvNet for the 2020s pipeline_tag: image-classification Operators:
- Add: 12
- Conv2D: 40
- Flatten: 1
- Gemme: 1
- ReLu: 12
features:
- name: "ONNX import" tested_in_CI: true
- name: "Export CPP" tested_in_CI: true
Source: PyTorch Input:
- size:
- [N, 3, 300, 300]
- format: NCHW
- preprocessing:
- Resize
- Normalise Output:
- size:
- [N*100]