Fix DotsOCR tensor type (#26281)

Signed-off-by: what_in_the_nim <chatcharinsang@gmail.com>

Author: what-in-the-nim

vllm/model_executor/models/dots_ocr.py

@@ -617,7 +617,7 @@ def dtype(self) -> torch.dtype:
     def device(self) -> torch.device:
         return self.patch_embed.patchifier.proj.weight.device
 
-    def get_pos_ids_by_grid(self, grid_thw):
+    def get_pos_ids_by_grid(self, grid_thw: list[list[int]]) -> list[torch.Tensor]:
         pos_ids = []
         for t, h, w in grid_thw:
             hpos_ids = torch.arange(h).unsqueeze(1).expand(-1, w)
@@ -643,10 +643,10 @@ def get_pos_ids_by_grid(self, grid_thw):
 
         return pos_ids
 
-    def rot_pos_emb(self, grid_thw):
+    def rot_pos_emb(self, grid_thw: list[list[int]]) -> torch.Tensor:
         pos_ids = self.get_pos_ids_by_grid(grid_thw)
         pos_ids = torch.cat(pos_ids, dim=0)
-        max_grid_size = grid_thw[:, 1:].max()
+        max_grid_size = max(max(h, w) for _, h, w in grid_thw)
         rotary_pos_emb_full = self.rotary_pos_emb(max_grid_size)
         rotary_pos_emb = rotary_pos_emb_full[pos_ids].flatten(1)
         return rotary_pos_emb
@@ -667,13 +667,13 @@ def compute_attn_mask_seqlen(
     def forward(
         self, hidden_states: torch.Tensor, grid_thw: list[list[int]]
     ) -> torch.Tensor:
+        rotary_pos_emb = self.rot_pos_emb(grid_thw)
+
         # Convert grid_thw to tensor (always expecting list format now)
         grid_thw = torch.tensor(grid_thw, device=hidden_states.device, dtype=torch.long)
         hidden_states = hidden_states.to(self.dtype)
         hidden_states = self.patch_embed(hidden_states, grid_thw)
 
-        rotary_pos_emb = self.rot_pos_emb(grid_thw)
-
         cu_seqlens = torch.repeat_interleave(
             grid_thw[:, 1] * grid_thw[:, 2], grid_thw[:, 0]
         ).cumsum(
@@ -807,7 +807,7 @@ def _process_image_input(
                     rope_type="rope_3d",
                 )
             else:
-                image_embeds = self.vision_tower(pixel_values, grid_thw)[
+                image_embeds = self.vision_tower(pixel_values, grid_thw_list)[
                     :, : self.config.hidden_size
                 ]