docstr: Add summary of params not associated with module or layer to model summary.
docstr_tok: ["Add","summary","of","params","not","associated","with","module","or","layer","to","model","summary","."]
code: def _add_leftover_params_to_summary(
      self,
      arrays: List[Tuple[str, List[str]]],
      total_leftover_params: int,
  ) -> None:
      """Add summary of params not associated with module or layer to model summary."""
      super()._add_leftover_params_to_summary(
          arrays, total_leftover_params
      )
      layer_summaries = dict(arrays)
      layer_summaries["Params per Device"].append(NOT_APPLICABLE)
  
file_path: pytorch-lightning/src/lightning/pytorch/utilities/model_summary/model_summary_deepspeed.py
imports: from collections import OrderedDict
  from typing import Dict, List, Tuple
  import torch
  from lightning_utilities.core.imports import RequirementCache
  from torch.nn import Parameter
  from lightning.pytorch.utilities.model_summary.model_summary import NOT_APPLICABLE, LayerSummary, ModelSummary, _is_lazy_weight_tensor, get_human_readable_count
label_desc: Use image node_id 6 for calling the DeepSpeedSummary obj's underlying member method code with example usage: obj._add_leftover_params_to_summary(arrays, total_leftover_params) without return types