class_docstr: Contiguous memory buffer.
  Allocate a contiguous memory of type `dtype` and size `numel`. It is
  used to reduce memory fragmentation.
  
  Usage: After the allocation, the `_start` index is set tot the first
         index of the memory. A memory chunk starting from `_start` index
         can be `allocated` for an input tensor, with the elements of the
         tensor being coppied. The buffer can be reused by resetting the
         `_start` index.
docstr: Return the data currently in use.
docstr_tok: ["Return","the","data","currently","in","use","."]
code: def get_data(self):
      """Return the data currently in use."""
      if self.track_usage:
          self.in_use_value += float(self._start)
          self.total_value += float(self.numel)
      return self.data[: self._start]
  
file_path: apex/apex/transformer/tensor_parallel/memory.py
imports: import torch
label_desc: Use image node_id 6 for calling the MemoryBuffer obj's underlying member method code with example usage: obj.get_data() and returns: self