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--- |
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datasets: |
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- timm/mini-imagenet |
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|
metrics: |
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|
- accuracy |
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|
tags: |
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|
- Classification |
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|
- arxiv:<2201.03545> |
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pipeline_tag: image-classification |
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|
Operators: |
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|
- Add: 12 |
|
|
- Conv2D: 40 |
|
|
- Flatten: 1 |
|
|
- Gemme: 1 |
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|
- ReLu: 12 |
|
|
|
|
|
|
|
|
Source: PyTorch |
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|
Input: |
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|
- size: |
|
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- [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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|
