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vllm_br/model_executor/models/qwen2_vl.py

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+################################################################################
+# Copyright(c)2020-2025 Shanghai Biren Technology Co., Ltd. All rights reserved.
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+################################################################################
+
+from collections.abc import Mapping
+
+from vllm.model_executor.models.qwen2_vl import (Qwen2VLDummyInputsBuilder,
+                                                 Qwen2VLProcessingInfo)
+from vllm.multimodal.parse import ImageSize
+
+
+def get_image_size_with_most_features(self) -> ImageSize:
+    """This function is used in Qwen2_VL, Qwen2_5_VL, patch it in qwen2_vl.py"""
+    max_image_size, _ = self._get_vision_info(
+        image_width=240,
+        image_height=240,
+        image_processor=None,
+    )
+    return max_image_size
+
+
+def get_dummy_text(self, mm_counts: Mapping[str, int]) -> str:
+    num_images = 1
+    num_videos = 0
+
+    hf_processor = self.info.get_hf_processor()
+    image_token: str = hf_processor.image_token
+    video_token: str = hf_processor.video_token
+
+    return image_token * num_images + video_token * num_videos
+
+
+Qwen2VLProcessingInfo.get_image_size_with_most_features = (
+    get_image_size_with_most_features)
+Qwen2VLDummyInputsBuilder.get_dummy_text = get_dummy_text