code: def _pad_tensor(
      self,
      tensor: torch.Tensor,
      pad_size: int,
  ) -> torch.Tensor:
      pad = [0, 0] * (tensor.ndim - self.dim)
      pad[-1] = pad_size
      return torch.nn.functional.pad(tensor, pad)
  
imports: from dataclasses import dataclass
  from typing import Any, cast, List, NamedTuple, Optional, Tuple
  import torch
  import torch.distributed._functional_collectives
  import torch.distributed.distributed_c10d
  from torch.distributed._tensor._collective_utils import mesh_broadcast, mesh_scatter
  from torch.distributed.device_mesh import DeviceMesh
label_desc: Use image node_id 2 for calling the Shard obj's underlying member method code with example usage: obj._pad_tensor(tensor, pad_size) and returns: torch