[V0 Deprecation] Remove unused context_len and seq_len from M-RoPE

Signed-off-by: DarkLight1337 <[email protected]>

Author: DarkLight1337

vllm/model_executor/models/ernie45_vl.py

@@ -1411,8 +1411,6 @@ def get_mrope_input_positions(
         hf_config: PretrainedConfig,
         image_grid_thw: list[list[int]] | torch.Tensor,
         video_grid_thw: list[list[int]] | torch.Tensor,
-        context_len: int = 0,
-        seq_len: int | None = None,
         second_per_grid_ts: list[float] | None = None,
         audio_feature_lengths: torch.Tensor | None = None,
         use_audio_in_video: bool = False,
@@ -1545,7 +1543,6 @@ def get_mrope_input_positions(
             llm_pos_ids_list.append(torch.arange(text_len).view(1, -1).expand(3, -1))
 
         llm_positions = torch.cat(llm_pos_ids_list, dim=1).reshape(3, -1)
-        llm_positions = llm_positions[:, context_len:seq_len]
         mrope_position_delta = (llm_positions.max() + 1 - len(input_tokens)).item()
         return llm_positions, mrope_position_delta
 

vllm/model_executor/models/glm4_1v.py

@@ -1622,8 +1622,6 @@ def get_mrope_input_positions(
         image_grid_thw: list[list[int]] | torch.Tensor | None,
         video_grid_thw: list[list[int]] | torch.Tensor | None,
         second_per_grid_ts: list[float] | None = None,
-        context_len: int = 0,
-        seq_len: int | None = None,
         audio_feature_lengths: torch.Tensor | None = None,
         use_audio_in_video: bool = False,
     ) -> tuple[torch.Tensor, int]:
@@ -1754,7 +1752,6 @@ def get_mrope_input_positions(
             llm_pos_ids_list.append(torch.arange(text_len).view(1, -1).expand(3, -1))
 
         llm_positions = torch.cat(llm_pos_ids_list, dim=1).reshape(3, -1)
-        llm_positions = llm_positions[:, context_len:seq_len]
         mrope_position_delta = (llm_positions.max() + 1 - len(input_tokens)).item()
         return llm_positions, mrope_position_delta
 

vllm/model_executor/models/glm4v.py

@@ -625,8 +625,6 @@ def get_mrope_input_positions(
         hf_config: PretrainedConfig,
         image_grid_thw: list[list[int]] | torch.Tensor,
         video_grid_thw: list[list[int]] | torch.Tensor,
-        context_len: int = 0,
-        seq_len: int | None = None,
         second_per_grid_ts: list[float] | None = None,
         audio_feature_lengths: torch.Tensor | None = None,
         use_audio_in_video: bool = False,
@@ -758,7 +756,6 @@ def get_mrope_input_positions(
             llm_pos_ids_list.append(torch.arange(text_len).view(1, -1).expand(3, -1))
 
         llm_positions = torch.cat(llm_pos_ids_list, dim=1).reshape(3, -1)
-        llm_positions = llm_positions[:, context_len:seq_len]
         mrope_position_delta = (llm_positions.max() + 1 - len(input_tokens)).item()
         return llm_positions, mrope_position_delta
 

vllm/model_executor/models/keye.py

@@ -1630,8 +1630,6 @@ def get_mrope_input_positions(
         hf_config: PretrainedConfig,
         image_grid_thw: list[list[int]] | torch.Tensor,
         video_grid_thw: list[list[int]] | torch.Tensor,
-        context_len: int = 0,
-        seq_len: int | None = None,
         second_per_grid_ts: list[float] | None = None,
         audio_feature_lengths: torch.Tensor | None = None,
         use_audio_in_video: bool = False,
@@ -1759,6 +1757,5 @@ def split_thw(grid_thw: torch.Tensor | list[int]) -> list[list[int]]:
 
         llm_positions = torch.cat(llm_pos_ids_list, dim=1).reshape(3, -1)
         mrope_position_delta = (llm_positions.max() + 1 - len(input_tokens)).item()
-        llm_positions = llm_positions[:, context_len:seq_len]
 
         return llm_positions, mrope_position_delta

vllm/model_executor/models/keye_vl1_5.py

@@ -600,8 +600,6 @@ def get_mrope_input_positions(
         hf_config: PretrainedConfig,
         image_grid_thw: list[list[int]] | torch.Tensor,
         video_grid_thw: list[list[int]] | torch.Tensor,
-        context_len: int = 0,
-        seq_len: int | None = None,
         second_per_grid_ts: list[float] | None = None,
         audio_feature_lengths: torch.Tensor | None = None,
         use_audio_in_video: bool = False,
@@ -729,6 +727,5 @@ def split_thw(grid_thw: torch.Tensor | list[int]) -> list[list[int]]:
 
         llm_positions = torch.cat(llm_pos_ids_list, dim=1).reshape(3, -1)
         mrope_position_delta = (llm_positions.max() + 1 - len(input_tokens)).item()
-        llm_positions = llm_positions[:, context_len:seq_len]
 
         return llm_positions, mrope_position_delta

vllm/model_executor/models/paddleocr_vl.py

@@ -1179,8 +1179,6 @@ def get_mrope_input_positions(
         image_grid_thw: list[list[int]] | torch.Tensor,
         video_grid_thw: list[list[int]] | torch.Tensor,
         second_per_grid_ts: list[float],
-        context_len: int = 0,
-        seq_len: int | None = None,
         audio_feature_lengths: torch.Tensor | None = None,
         use_audio_in_video: bool = False,
     ) -> tuple[torch.Tensor, int]:
@@ -1293,7 +1291,6 @@ def get_mrope_input_positions(
 
         llm_positions = torch.cat(llm_pos_ids_list, dim=1).reshape(3, -1)
         mrope_position_delta = (llm_positions.max() + 1 - len(input_tokens)).item()
-        llm_positions = llm_positions[:, context_len:seq_len]
 
         return llm_positions, mrope_position_delta
 

vllm/model_executor/models/qwen2_5_omni_thinker.py

@@ -927,8 +927,6 @@ def get_mrope_input_positions(
         image_grid_thw: list[list[int]] | torch.Tensor,
         video_grid_thw: list[list[int]] | torch.Tensor,
         second_per_grid_ts: list[float] | None = None,
-        context_len: int = 0,
-        seq_len: int | None = None,
         audio_feature_lengths: torch.Tensor | None = None,
         use_audio_in_video: bool = False,
     ) -> tuple[torch.Tensor, int]:
@@ -1125,7 +1123,6 @@ def get_mrope_input_positions(
         mrope_position_delta = (
             torch.cat(llm_pos_ids_list, dim=1).max() + 1 - len(src_item)
         )
-        llm_positions = llm_positions[:, context_len:seq_len]
 
         return llm_positions, mrope_position_delta
 

vllm/model_executor/models/qwen2_5_vl.py

@@ -1118,8 +1118,6 @@ def get_mrope_input_positions(
         image_grid_thw: list[list[int]] | torch.Tensor,
         video_grid_thw: list[list[int]] | torch.Tensor,
         second_per_grid_ts: list[float],
-        context_len: int = 0,
-        seq_len: int | None = None,
         audio_feature_lengths: torch.Tensor | None = None,
         use_audio_in_video: bool = False,
     ) -> tuple[torch.Tensor, int]:
@@ -1232,7 +1230,6 @@ def get_mrope_input_positions(
 
         llm_positions = torch.cat(llm_pos_ids_list, dim=1).reshape(3, -1)
         mrope_position_delta = (llm_positions.max() + 1 - len(input_tokens)).item()
-        llm_positions = llm_positions[:, context_len:seq_len]
 
         return llm_positions, mrope_position_delta
 

vllm/model_executor/models/qwen2_vl.py

@@ -1240,8 +1240,6 @@ def get_mrope_input_positions(
         image_grid_thw: list[list[int]] | torch.Tensor | None,
         video_grid_thw: list[list[int]] | torch.Tensor | None,
         second_per_grid_ts: list[float] | None = None,
-        context_len: int = 0,
-        seq_len: int | None = None,
         audio_feature_lengths: torch.Tensor | None = None,
         use_audio_in_video: bool = False,
     ) -> tuple[torch.Tensor, int]:
@@ -1360,7 +1358,6 @@ def get_mrope_input_positions(
 
         llm_positions = torch.cat(llm_pos_ids_list, dim=1).reshape(3, -1)
         mrope_position_delta = (llm_positions.max() + 1 - len(input_tokens)).item()
-        llm_positions = llm_positions[:, context_len:seq_len]
 
         return llm_positions, mrope_position_delta
 

vllm/model_executor/models/qwen3_omni_moe_thinker.py

@@ -1417,8 +1417,6 @@ def get_mrope_input_positions(
         image_grid_thw: list[list[int]] | torch.Tensor | None,
         video_grid_thw: list[list[int]] | torch.Tensor | None,
         second_per_grid_ts: list[float] | None = None,
-        context_len: int = 0,
-        seq_len: int | None = None,
         audio_feature_lengths: torch.Tensor | None = None,
         use_audio_in_video: bool = False,
     ) -> tuple[torch.Tensor, int]: