code: def _replicate_then_shard(val: _PlacementItem) -> int:
      """
      Replicate from inner to outer dimension.
      Shard from outer to inner dimension.
      """
      i, (current, target) = val
      if (
          target.is_replicate() or target.is_partial()
      ) and current.is_shard():
          return -i
      elif (
          current.is_replicate() or current.is_partial()
      ) and target.is_shard():
          return i
      else:
          return 0
  
file_path: pytorch/torch/distributed/_tensor/redistribute.py
imports: from typing import cast, Dict, List, Tuple
  import torch
  import torch.distributed._tensor.api
  from torch.distributed._tensor.placement_types import _Partial, DTensorSpec, Placement, Replicate, Shard
  from torch.distributed.device_mesh import DeviceMesh
label_desc: Use image node_id 1 for calling a global function with example usage: _replicate_then_shard(val) and returns: unknown, i, int