MobileNetv3

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.

Model

• Operators: 234 (14 types)
  • Add: 6
  • Conv2D: 40
  • Div: 1
  • FC: 2
  • Flatten: 1
  • GlobalAveragePooling: 10
  • HardSigmoid: 9
  • HardSwish: 19
  • Mul: 9
  • PaddedConv2D: 1
  • PaddedConvDepthWise2D: 11
  • Producer: 110
  • ReLU: 14
  • Sub: 1

ImagNet1k

• Opset: 20
• Source: PyTorch
• Input
  • size: [N, 3, 224, 224]
  • format: [N, C, H, W]
  • preprocessing:
    • ?
• Output
  • size: [N, 1000]