shufflenet_v2_x1_5

torchvision.models.shufflenet_v2_x1_5(pretrained: bool = False, progress: bool = True, **kwargs: Any) → torchvision.models.shufflenetv2.ShuffleNetV2

Constructs a ShuffleNetV2 with 1.5x output channels, as described in “ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design”.

Parameters

• pretrained (bool) – If True, returns a model pre-trained on ImageNet

• progress (bool) – If True, displays a progress bar of the download to stderr