Adaptive Pooling in PyTorch Apr 20, 2020 Tips and Traps¶ Adpative pooling an generate fixed-sized output, which enables a model to handle varying sized input. The models in torchvision are such examples. AdaptiveMaxPool2d¶ References¶Torchvision ResNet Input Size