fix batch error for llava-hd (#98)

python/sglang/srt/models/llava.py

@@ -112,24 +112,28 @@ class LlavaLlamaForCausalLM(nn.Module):
             need_vision = need_vision & has_pixel
 
             if need_vision.any():
-                pixel_values = torch.tensor(
-                    np.array([pixel_values[i] for i in range(bs) if need_vision[i]]),
-                    device=self.vision_tower.device,
-                )
+                pixel_values = [pixel_values[i] for i in range(bs) if need_vision[i]]
+                image_sizes = [image_sizes[i] for i in range(bs) if need_vision[i]]
 
                 ########## Encode Image ########
 
-                if pixel_values.ndim == 5:
+                if pixel_values[0].ndim == 4:
                     # llava-hd: BS, num_patch, C=3, H=336, W=336, num_patch obtained from process_images
-                    concat_images = torch.cat(
-                        [image for image in pixel_values], dim=0
-                    )  # ndim=4
+                    np.concatenate(pixel_values, axis=0)
+                    # ndim=4
+                    concat_images = torch.tensor(
+                        np.concatenate(pixel_values, axis=0),
+                        device=self.vision_tower.device,
+                    )
                     image_features = self.encode_images(concat_images)
                     split_sizes = [image.shape[0] for image in pixel_values]
                     image_features = torch.split(image_features, split_sizes, dim=0)
                     # hd image_features: BS, num_patch, 576, 4096
                 else:
                     # normal pixel: BS, C=3, H=336, W=336
+                    pixel_values = torch.tensor(
+                        np.array(pixel_values), device=self.vision_tower.device
+                    )
                     image_features = self.encode_images(pixel_values)
                     # image_features: BS, 576, 4096