MobileNetV2

class paddle.vision.models. MobileNetV2 ( scale: float = 1.0, num_classes: int = 1000, with_pool: bool = True ) [source]

MobileNetV2 model from “MobileNetV2: Inverted Residuals and Linear Bottlenecks”.

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 MobileNetV2 model.

Examples

>>> import paddle
>>> from paddle.vision.models import MobileNetV2

>>> model = MobileNetV2()

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

>>> print(out.shape)
[1, 1000]
forward ( x: Tensor ) → Tensor

forward

Defines the computation performed at every call. Should be overridden by all subclasses.

Parameters

  • *inputs (tuple) – unpacked tuple arguments

  • **kwargs (dict) – unpacked dict arguments