code: def pep574_loads(
      main_bytes: bytes, concat_buffer_bytes: bytes, indices: list[int]
  ) -> t.Any:
      if not indices:
          # TODO: @larme monitor
          # https://github.com/pytorch/pytorch/issues/102977 and may change
          # this function later
          return fixed_torch_loads(main_bytes)
  
      mem = memoryview(concat_buffer_bytes)
      partitions = zip(indices, indices[1:])
      recover_buffers: list[pickle.PickleBuffer] = []
      for partition in partitions:
          buff = pickle.PickleBuffer(mem[slice(*partition)])
          recover_buffers.append(buff)
  
      return fixed_torch_loads(main_bytes, buffers=recover_buffers)
  
file_path: BentoML/grpc-client/bentoml/_internal/utils/pickle.py
imports: from __future__ import annotations
  import io
  import pickle
  import typing
label_desc: Use image node_id 2 for calling a global function with example usage: pep574_loads(main_bytes, concat_buffer_bytes, indices) and returns: fixed_torch_loads, fixed_torch_loads