code: def _pack_hook_tp(
      mesh: DeviceMesh, input_reshard_dim: int, x: torch.Tensor
  ) -> Any:  # noqa: D401
      """Hook function called after FWD to shard input."""
      if isinstance(x, DTensor) and all(
          p.is_replicate() for p in x._spec.placements
      ):
          return x.redistribute(
              device_mesh=mesh, placements=[Shard(input_reshard_dim)]
          )
      elif (
          not isinstance(x, DTensor)
          and isinstance(x, torch.Tensor)
          and x.numel() >= mesh.size()
      ):
          return (
              DTensor.from_local(x, device_mesh=mesh)
              .redistribute(
                  device_mesh=mesh,
                  placements=[Shard(input_reshard_dim)],
              )
              .to_local()
          )
      else:
          return x
  
imports: from functools import partial
  from typing import Any, Optional, Tuple
  import torch
  from torch.distributed._tensor import DeviceMesh, DTensor, Replicate, Shard
label_desc: Use image node_id 2 for calling a global function with example usage: _pack_hook_tp(mesh, input_reshard_dim, x) and returns: x, DTensor, x