code: def parameters_per_layer(self) -> List[int]:
      return [
          layer.average_shard_parameters
          for layer in self._layer_summary.values()
      ]
  
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 4 for calling the DeepSpeedSummary obj's underlying member method code with example usage: obj.parameters_per_layer() and returns: unknown