From 3640116397125123594bcac08f9f63a0b6c2152d Mon Sep 17 00:00:00 2001
From: AndyLi429 <68410213+AndyLi429@users.noreply.github.com>
Date: Thu, 14 May 2026 14:21:11 +0800
Subject: [PATCH] [NPU]Bugfix:Set default values for npu_wrapper_preprocess
 parameters (#25130)

---
 .../npu/attention/ascend_gdn_backend.py       |  2 +-
 .../npu/modules/qwen_vl_processor.py          | 27 ++++++++-----------
 2 files changed, 12 insertions(+), 17 deletions(-)

diff --git a/python/sglang/srt/hardware_backend/npu/attention/ascend_gdn_backend.py b/python/sglang/srt/hardware_backend/npu/attention/ascend_gdn_backend.py
index 7c481e0f3..cdb1dadb7 100644
--- a/python/sglang/srt/hardware_backend/npu/attention/ascend_gdn_backend.py
+++ b/python/sglang/srt/hardware_backend/npu/attention/ascend_gdn_backend.py
@@ -414,7 +414,7 @@ class AscendGDNAttnBackend(AscendMambaAttnBackendBase):
             nv=num_value_heads,
             intermediate_state=intermediate_state,
             cache_indices=cache_indices,
-            num_accept_tokens=num_accept_tokens,
+            num_accepted_tokens=num_accept_tokens,
             g=g,
         )
 
diff --git a/python/sglang/srt/hardware_backend/npu/modules/qwen_vl_processor.py b/python/sglang/srt/hardware_backend/npu/modules/qwen_vl_processor.py
index e761bf1b4..5dadafac6 100644
--- a/python/sglang/srt/hardware_backend/npu/modules/qwen_vl_processor.py
+++ b/python/sglang/srt/hardware_backend/npu/modules/qwen_vl_processor.py
@@ -1,12 +1,7 @@
-from typing import Optional
-
 import torch
 import torchvision.transforms.v2.functional as tvF
 from transformers.image_processing_utils import BatchFeature
-from transformers.image_processing_utils_fast import (
-    group_images_by_shape,
-    reorder_images,
-)
+from transformers.image_transforms import group_images_by_shape, reorder_images
 from transformers.image_utils import (
     ChannelDimension,
     PILImageResampling,
@@ -63,8 +58,8 @@ def transform_patches_to_flatten(
     return flatten_patches
 
 
-# Func refers to transformers.models.qwen2_vl.image_processing_qwen2_vl_fast.py
-# Qwen2VLImageProcessorFast._preprocess
+# Func refers to transformers.models.qwen2_vl.image_processing_qwen2_vl.py
+# Qwen2VLImageProcessor._preprocess
 def npu_wrapper_preprocess(func):
 
     def _preprocess(
@@ -72,7 +67,7 @@ def npu_wrapper_preprocess(func):
         images: list["torch.Tensor"],
         do_resize: bool,
         size: SizeDict,
-        interpolation: Optional["tvF.InterpolationMode"],
+        resample: "PILImageResampling | tvF.InterpolationMode | int | None",
         do_rescale: bool,
         rescale_factor: float,
         do_normalize: bool,
@@ -97,13 +92,13 @@ def npu_wrapper_preprocess(func):
                     height,
                     width,
                     factor=patch_size * merge_size,
-                    min_pixels=size["shortest_edge"],
-                    max_pixels=size["longest_edge"],
+                    min_pixels=size.shortest_edge,
+                    max_pixels=size.longest_edge,
                 )
                 stacked_images = self.resize(
                     image=stacked_images,
                     size=SizeDict(height=resized_height, width=resized_width),
-                    interpolation=interpolation,
+                    resample=resample,
                 )
             resized_images_grouped[shape] = stacked_images
         resized_images = reorder_images(resized_images_grouped, grouped_images_index)
@@ -173,7 +168,7 @@ def npu_wrapper_preprocess(func):
 
 
 # Func refers to transformers.models.qwen3_vl.video_processing_qwen3_vl.py
-# Qwen3VLVideoProcessorFast._preprocess
+# Qwen3VLVideoProcessor._preprocess
 def npu_wrapper_video_preprocess(func):
 
     def _preprocess(
@@ -182,7 +177,7 @@ def npu_wrapper_video_preprocess(func):
         do_convert_rgb: bool = True,
         do_resize: bool = True,
         size: SizeDict | None = None,
-        interpolation: PILImageResampling = PILImageResampling.BICUBIC,
+        resample: "PILImageResampling | tvF.InterpolationMode | int | None" = PILImageResampling.BICUBIC,
         do_rescale: bool = True,
         rescale_factor: float = 1 / 255.0,
         do_normalize: bool = True,
@@ -214,7 +209,7 @@ def npu_wrapper_video_preprocess(func):
                 stacked_videos = self.resize(
                     stacked_videos,
                     size=SizeDict(height=resized_height, width=resized_width),
-                    interpolation=interpolation,
+                    resample=resample,
                 )
                 stacked_videos = stacked_videos.view(
                     B, T, C, resized_height, resized_width
@@ -297,7 +292,7 @@ def npu_apply_qwen_image_preprocess_patch():
     if _npu_preprocess_patched:
         return
     apply_module_patch(
-        "transformers.models.qwen2_vl.image_processing_qwen2_vl_fast.Qwen2VLImageProcessorFast",
+        "transformers.models.qwen2_vl.image_processing_qwen2_vl.Qwen2VLImageProcessor",
         "_preprocess",
         [npu_wrapper_preprocess],
     )