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.

ImageNet1k

• Input:
  • size: [N, 3, 224, 224]
  • format : NCHW
• Output
  • size: [N, 1000]