[Fix] Fix the incorrect device of inputs in get_model_complexity_info (#1130)

mmengine/analysis/print_helper.py

@@ -725,14 +725,15 @@ def get_model_complexity_info(
         raise ValueError('"input_shape" and "inputs" cannot be both set.')
 
     if inputs is None:
+        device = next(model.parameters()).device
         if is_tuple_of(input_shape, int):  # tuple of int, construct one tensor
-            inputs = (torch.randn(1, *input_shape), )
+            inputs = (torch.randn(1, *input_shape).to(device), )
         elif is_tuple_of(input_shape, tuple) and all([
                 is_tuple_of(one_input_shape, int)
                 for one_input_shape in input_shape  # type: ignore
         ]):  # tuple of tuple of int, construct multiple tensors
             inputs = tuple([
-                torch.randn(1, *one_input_shape)
+                torch.randn(1, *one_input_shape).to(device)
                 for one_input_shape in input_shape  # type: ignore
             ])
         else: