ShuffleNet V2¶
The ShuffleNet V2 model is based on the ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design paper.
Model builders¶
The following model builders can be used to instantiate a ShuffleNetV2 model, with or
without pre-trained weights. All the model builders internally rely on the
torchvision.models.shufflenetv2.ShuffleNetV2
base class. Please refer to the source
code for
more details about this class.
|
Constructs a ShuffleNetV2 architecture with 0.5x output channels, as described in ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design. |
|
Constructs a ShuffleNetV2 architecture with 1.0x output channels, as described in ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design. |
|
Constructs a ShuffleNetV2 architecture with 1.5x output channels, as described in ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design. |
|
Constructs a ShuffleNetV2 architecture with 2.0x output channels, as described in ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design. |