code: def vslice(
      self, state: BottleneckState, slice_obj: slice
  ) -> BottleneckState:
      return BottleneckState(
          state.hidden_states[slice_obj],
          state.input_tensor[slice_obj],
          state.adapter_residual[slice_obj],
          state.layer_norm,
          state.bottleneck_up[slice_obj]
          if state.bottleneck_up is not None
          else None,
      )
  
imports: from typing import Dict, List, Mapping, NamedTuple, Optional, Union
  import torch
  from torch import nn
  from ..composition import AdapterCompositionBlock, Average, BatchSplit, Fuse, Parallel, Split, Stack, adjust_tensors_for_parallel
  from ..configuration import BnConfig
  from ..context import ForwardContext
  from .adapter_layer_base import ComposableAdapterLayerBase
  from .modeling import Adapter, BertFusion, ParallelAdapter
label_desc: Use image node_id 12 for calling the BottleneckLayer obj's underlying member method code with example usage: obj.vslice(state, slice_obj) and returns: BottleneckState