Convert tile to torch.cuda.FloatTensor if it's not already of that type

opensora/models/ae/videobase/causal_vae/modeling_causalvae.py

@@ -610,6 +610,11 @@ class CausalVAEModel(VideoBaseAE_PL):
                     i : i + self.tile_latent_min_size,
                     j : j + self.tile_latent_min_size,
                 ]
+                
+                # Convert tile to torch.cuda.FloatTensor if it's not already of that type
+                if tile.dtype != torch.float32:
+                    tile = tile.float()
+                
                 tile = self.post_quant_conv(tile)
                 decoded = self.decoder(tile)
                 row.append(decoded)