code: def compute_sorted_location(x, importance_scores):
      sorted_x = x[importance_scores.argsort(dim=0)]
      sorted_cumsum = fast_cumsum_sub_one(sorted_x) * sorted_x
      return sorted_cumsum[
          importance_scores.argsort(dim=0).argsort(dim=0)
      ]
  
imports: from typing import TYPE_CHECKING, Any, Optional, Tuple, Union, cast
  import logging
  import torch
  from torch import Tensor
  from .jit_compiler import IS_HIP_EXTENSION
  from ..jit_kernels import sparse
  from ..jit_kernels.gating import fast_cumsum_sub_one
  from .communicate import get_world_rank, simple_all_reduce
  from .None import losses
label_desc: Use image node_id 1 for calling a global function with example usage: compute_sorted_location(x, importance_scores) and returns: sorted_cumsum