metadata
language:
- en
metrics:
- accuracy
pipeline_tag: image-classification
tags:
- arxiv:1512.03385
Resnet50-v1.5
- Origin: https://github.com/mlcommons/inference/tree/master/vision/classification_and_detection
- Note : https://catalog.ngc.nvidia.com/orgs/nvidia/resources/resnet_50_v1_5_for_pytorch
Model
- ONNX attributes:
- opset : 11
- Operators: 233 (11 types)
- Add: 17
- ArgMax: 1
- Conv2D: 36
- MatMul: 1
- PaddedConv2D: 17
- PaddedMaxPooling2D: 1
- Producer: 108
- ReLU: 49
- ReduceMean: 1
- Softmax: 1
- Squeeze: 1
Aidge support
Note: We tested this network for the following features. If you encounter any error please open an issue. Features not tested in CI may not be functional.
| Feature | Tested in CI |
|---|---|
| ONNX import | ✔ |
| Backend CPU | ✔ |
ImageNet1k
- Input:
- size: [N, 3, 224, 224]
- format : NCHW
- Output
- size: [N, 1000]