code: def convert_to_colo_tensor(
      tensor: Optional[GeneralTensor], pg: ProcessGroup
  ) -> Optional[ColoTensor]:
      if tensor is not None and not isinstance(tensor, ColoTensor):
          tensor = ColoTensor.from_torch_tensor(
              tensor, ColoTensorSpec(pg)
          )
      return tensor
  
imports: from typing import List, Optional, Union
  import torch
  import torch.distributed
  from colossalai.legacy.global_variables import tensor_parallel_env
  from colossalai.legacy.nn.layer.utils import divide
  from colossalai.legacy.tensor import ColoTensorSpec, ProcessGroup
  from colossalai.tensor import ColoTensor
label_desc: Use image node_id 1 for calling a global function with example usage: convert_to_colo_tensor(tensor, pg) and returns: tensor