Deep Learning, Sora, Computer Vision, Transformers, Attention.
self.embed(img).flatten(2).transpose(1, 2) w, h = img.shape[2:] p = self.pe((w, h)) out.append(t+p.unsqueeze(0)) return out def img_list_reader(x): timg = [rp(np.asarray(Image.open(i))) for i in x] timg = [torch.from_numpy(x).float().permute((2, 0, 1)).unsqueeze(0) for x in timg] return timg idx =