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---
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
Source: PyTorch
Input:
- size:
- [N, 3, 300, 300]
- format: NCHW
- preprocessing:
- Resize
- Normalise
Output:
- size:
- [N*100]
---
---
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]
---
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