code: def unshard_tensor_dim(
      placements: Sequence[Placement], dim: int
  ) -> Tuple[Placement, ...]:
      """Disallow the given tensor dimension to be sharded."""
      return tuple(
          p
          if (not isinstance(p, Shard) or p.dim != dim)
          else Replicate()
          for p in placements
      )
  
imports: from typing import cast, List, Optional, Sequence, Tuple
  import torch
  from torch.distributed._tensor._utils import compute_local_shape
  from torch.distributed._tensor.op_schema import OpSchema, OpStrategy, OutputSharding, PlacementStrategy, RuntimeSchemaInfo, StrategyType
  from torch.distributed._tensor.ops.common_rules import pointwise_rule
  from torch.distributed._tensor.ops.utils import is_tensor_dim_sharded, is_tensor_partial, normalize_dim, prod, register_op_strategy, register_prop_rule
  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 7 for calling a global function with example usage: unshard_tensor_dim(placements, dim) and returns: tuple