Deep Learning, Sora, Computer Vision, Transformers, Attention.
embed_size, patch_size): super().__init__() self.embed = nn.Conv2d(in_chns, embed_size, kernel_size=patch_size, stride=patch_size) self.pe = PositionalEncoding(embed_size//2, patch_size) def forward(self, x): #x is list of images in tensor format [1, 3, W, H] out = [] for img in x: t =