[Multimodal] Fix nested_tensors_equal: add length check for lists and tuple support (#38388)

Signed-off-by: khairulkabir1661 <khairulkabir1661@users.noreply.github.com>
Co-authored-by: khairulkabir1661 <khairulkabir1661@users.noreply.github.com>

vllm/multimodal/inputs.py

@@ -238,12 +238,29 @@ def nested_tensors_equal(a: NestedTensors, b: NestedTensors) -> bool:
         return isinstance(a, torch.Tensor) and torch.equal(b, a)
 
     if isinstance(a, list):
-        return isinstance(b, list) and all(
-            nested_tensors_equal(a_, b_) for a_, b_ in zip(a, b)
+        return (
+            isinstance(b, list)
+            and len(a) == len(b)
+            and all(nested_tensors_equal(a_, b_) for a_, b_ in zip(a, b))
         )
     if isinstance(b, list):
-        return isinstance(a, list) and all(
-            nested_tensors_equal(b_, a_) for b_, a_ in zip(b, a)
+        return (
+            isinstance(a, list)
+            and len(b) == len(a)
+            and all(nested_tensors_equal(b_, a_) for b_, a_ in zip(b, a))
+        )
+
+    if isinstance(a, tuple):
+        return (
+            isinstance(b, tuple)
+            and len(a) == len(b)
+            and all(nested_tensors_equal(a_, b_) for a_, b_ in zip(a, b))
+        )
+    if isinstance(b, tuple):
+        return (
+            isinstance(a, tuple)
+            and len(b) == len(a)
+            and all(nested_tensors_equal(b_, a_) for b_, a_ in zip(b, a))
         )
 
     # Both a and b are scalars