docstr: Add data slice to the memory space indexed by the input tensor in the chunk.
  Only used when accumulating gradient chunks.
  
  Args:
      tensor (torch.Tensor): the tensor used to retrieve meta information
      data_slice (torch.Tensor): the tensor to be added to the chunk
docstr_tok: ["Add","data","slice","to","the","memory","space","indexed","by","the","input","tensor","in","the","chunk",".","Only","used","when","accumulating","gradient","chunks",".","Args",":","tensor","(","torch.Tensor",")",":","the","tensor","used","to","retrieve","meta","information","data_slice","(","torch.Tensor",")",":","the","tensor","to","be","added","to","the","chunk"]
code: def add_tensor_to_chunk_slice(
      self, tensor: torch.Tensor, data_slice: torch.Tensor
  ) -> None:
      """
      Add data slice to the memory space indexed by the input tensor in the chunk.
      Only used when accumulating gradient chunks.
  
      Args:
          tensor (torch.Tensor): the tensor used to retrieve meta information
          data_slice (torch.Tensor): the tensor to be added to the chunk
      """
      # sanity check
      assert self.is_gathered
  
      tensor_info = self.tensors_info[tensor]
      self.cuda_global_chunk[tensor_info.offset : tensor_info.end].add_(
          data_slice.data.flatten()
      )
  
imports: from dataclasses import dataclass
  from enum import Enum
  from typing import Dict, List, Optional
  import torch
  import torch.distributed
  from torch.distributed import ProcessGroup
  from colossalai.utils import get_current_device
  from colossalai.utils.device import IS_NPU_AVAILABLE
label_desc: Use image node_id 19 for calling the Chunk obj's underlying member method code with example usage: obj.add_tensor_to_chunk_slice(tensor, data_slice) without return types