code: def update_names_with_mapping(tensor, rename_map, inplace):
      dim_map = build_dim_map(tensor)
      for old_dim in rename_map.keys():
          new_dim = rename_map[old_dim]
          if old_dim in dim_map.keys():
              dim_map[old_dim] = new_dim
          else:
              raise RuntimeError(
                  f"{namer_api_name(inplace)}: Tried to rename dim '{old_dim}' to dim "
                  f"{new_dim} in Tensor[{tensor.names}] but dim '{old_dim}' does not exist"
              )
      return tensor._update_names(tuple(dim_map.values()), inplace)
  
file_path: pytorch/torch/_namedtensor_internals.py
imports: from collections import OrderedDict
label_desc: Use image node_id 11 for calling a global function with example usage: update_names_with_mapping(tensor, rename_map, inplace) and returns: tensor