| | --- |
| | datasets: |
| | - timm/mini-imagenet |
| | metrics: |
| | - accuracy |
| | tags: |
| | - Classification |
| | - arxiv:<2201.03545> |
| | 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] |
| | |
| | --- |
| | |
| | |
