You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
In TF, the stride is at the same place as in Torch, i.e. in conv2, see here.
In Keras, however, the stride is in conv1, see here.
In block2, the stride is in conv2, but the architecture also features preactivation, unlike PyTorch, which is why they called it 1.5 in PyTorch comments...
Maybe we can accept this slight change... Wdyt @tomMoral ?
One last point omitted was this one: https://github.com/pytorch/vision/blob/main/torchvision/models/resnet.py#L107-L111
Need to make sure that the same is used in both frameworks
The text was updated successfully, but these errors were encountered: