Deep Learning, Sora, Computer Vision, Transformers, Attention.
kernel_size=(32, 32), stride=(32, 32)) # (pe): PositionalEncoding( # (pe): Linear(in_features=2, out_features=384, bias=True) # ) #) out = pe(imgs) [i.shape for i in out] #[torch.Size([1, 480, 768]), # torch.Size([1, 480, 768]), # torch.Size([1, 456, 768]), # torch.Size([1, 456, 768])] Since