Fix: img size mismatch caused by incorrect unpadding in LLaVA-Next (huggingface#34522)

Fix: unpadding img mismatch

Author: jp1924

src/transformers/models/llava_next/modeling_llava_next.py

@@ -138,12 +138,12 @@ def unpad_image(tensor, original_size):
 
     if original_aspect_ratio > current_aspect_ratio:
         scale_factor = current_width / original_width
-        new_height = int(original_height * scale_factor)
+        new_height = int(round(original_height * scale_factor, 7))
         padding = (current_height - new_height) // 2
         unpadded_tensor = tensor[:, padding : current_height - padding, :]
     else:
         scale_factor = current_height / original_height
-        new_width = int(original_width * scale_factor)
+        new_width = int(round(original_width * scale_factor, 7))
         padding = (current_width - new_width) // 2
         unpadded_tensor = tensor[:, :, padding : current_width - padding]
 

src/transformers/models/llava_next_video/modeling_llava_next_video.py

@@ -143,12 +143,12 @@ def unpad_image(tensor, original_size):
 
     if original_aspect_ratio > current_aspect_ratio:
         scale_factor = current_width / original_width
-        new_height = int(original_height * scale_factor)
+        new_height = int(round(original_height * scale_factor, 7))
         padding = (current_height - new_height) // 2
         unpadded_tensor = tensor[:, padding : current_height - padding, :]
     else:
         scale_factor = current_height / original_height
-        new_width = int(original_width * scale_factor)
+        new_width = int(round(original_width * scale_factor, 7))
         padding = (current_width - new_width) // 2
         unpadded_tensor = tensor[:, :, padding : current_width - padding]
 

src/transformers/models/llava_onevision/modeling_llava_onevision.py

@@ -139,12 +139,12 @@ def unpad_image(tensor, original_size):
 
     if original_aspect_ratio > current_aspect_ratio:
         scale_factor = current_width / original_width
-        new_height = int(original_height * scale_factor)
+        new_height = int(round(original_height * scale_factor, 7))
         padding = (current_height - new_height) // 2
         unpadded_tensor = tensor[:, padding : current_height - padding, :]
     else:
         scale_factor = current_height / original_height
-        new_width = int(original_width * scale_factor)
+        new_width = int(round(original_width * scale_factor, 7))
         padding = (current_width - new_width) // 2
         unpadded_tensor = tensor[:, :, padding : current_width - padding]