code: def load_balance(sizes, block):
      # global triton
      # if triton is None:
      #    triton = importlib.import_module('triton')
      # segment size
      # heuristics taken from OpenAI blocksparse code
      # https://github.com/openai/blocksparse/blob/master/blocksparse/matmul.py#L95
      max_size = sizes.max()
      min_size = sizes[sizes != 0].min()
      # if max_size > min_size * 2.0:
      #  seg_max = max(triton.cdiv(max_size, 4), min_size*2)
      # else:
      #  seg_max = max_size
      seg_max = max_size
      seg_min = max(triton.cdiv(seg_max, 4), 4)
      # split reduction into segments
      div = sizes // seg_max
      rem = sizes % seg_max
      packs = div + (sizes < seg_min).long() + (rem >= seg_min).long()
      width = packs.sum()
      segments = torch.empty(width, dtype=sizes.dtype)
      column = torch.empty_like(segments)
      lockid = torch.zeros_like(segments)
      maxid = torch.zeros_like(segments)
      nlocks = 0
      current = 0
      col_idx = 0
      for i in range(len(sizes)):
          d, r = div[i], rem[i]
          isempty = sizes[i] < seg_min
          last = current + d + (r >= seg_min) + isempty
          # column id
          column[current:last] = col_idx
          # lock id
          if d > 1 or (d == 1 and r >= seg_min):
              nlocks += 1
              lockid[current:last] = nlocks
              maxid[current:last] = last - current
          # segment size
          segments[current : current + d] = seg_max
          if r < seg_min and not isempty:
              segments[current + d - 1] += r
          if r >= seg_min or isempty:
              segments[current + d] = r
          current = last
          col_idx += 1
      offsets = torch.zeros_like(segments)
      offsets[1:] = torch.cumsum(segments[:-1], dim=0)
      return segments, column, lockid, maxid, offsets
  
imports: import importlib
  import torch
  import triton
  import triton.language
  import triton._C.libtriton
  from deepspeed.accelerator import get_accelerator
label_desc: Use image node_id 1 for calling the _sparse_matmul obj's underlying member method code with example usage: obj.load_balance(sizes, block) and returns: segments,  column,  lockid,  maxid,  offsets