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class paddle.vision.models. MobileNetV3Small ( scale: float = 1.0, num_classes: int = 1000, with_pool: bool = True ) [source]
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MobileNetV3 Small architecture model from “Searching for MobileNetV3”.

Parameters

  • scale (float, optional) – Scale of channels in each layer. Default: 1.0.

  • num_classes (int, optional) – Output dim of last fc layer. If num_classes <= 0, last fc layer will not be defined. Default: 1000.

  • with_pool (bool, optional) – Use pool before the last fc layer or not. Default: True.

Returns

Layer. An instance of MobileNetV3 Small architecture model.

Examples

>>> import paddle
>>> from paddle.vision.models import MobileNetV3Small

>>> # Build model
>>> model = MobileNetV3Small(scale=1.0)

>>> x = paddle.rand([1, 3, 224, 224])
>>> out = model(x)

>>> print(out.shape)
[1, 1000]