Changing to AdaptiveAvgPool2d on DenseNet #672
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This was referenced Feb 13, 2019
fmassa
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The update allows Alexnet to process images larger or smaller than prescribed imagenet size using adaptive average pooling. Will be useful while finetuning or testing on different resolution images. Similar to #643 and #672. I did not include adaptive avg pool in features or classifier block so that these predefined blocks can be used as it is.
fmassa
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Feb 14, 2019
The update allows VGG to process images larger or smaller than prescribed imagenet size using adaptive average pooling. Will be useful while finetuning or testing on different resolution images. Similar to #643 and #672. I did not include adaptive avg pool in features or classifier block so that these predefined blocks can be used as it is.
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Hi,
I'm use DenseNet find densenet use avg_pool2d instead adaptive_avg_pool2d. That same problem has fixed in SqueezeNet and ResNet #643 . so I made this change.
F.avg_pool2d -> F.adaptive_avg_pool2d((1,1)) assures the output's size like (batch_size, num_classes, 1,1) on DenseNet.