code: def is_load_module(module):
      load_layers = [nn.Linear, nn.Embedding, nn.LayerNorm]
      load_layer_names = [
          "LPLayerNorm",
          "SharedEmbedding",
          "OPTLearnedPositionalEmbedding",
          "LlamaRMSNorm",
          "FalconLinear",
      ]
      return (
          module.__class__ in load_layers
          or module._get_name() in load_layer_names
      )
  
imports: import re
  from torch import nn
  from .replace_policy import replace_policies
  from typing import Optional
  import torch
  from deepspeed import comm
  from .layers import LinearAllreduce, LinearLayer, LmHeadLinearAllreduce
  from deepspeed.accelerator import get_accelerator
  from .fusedqkv_utils import require_tp_fused_qkvw, prepare_tp_fused_qkvw
  from deepspeed.module_inject.tp_shard import get_shard_size, get_shard_size_list
label_desc: Use image node_id 1 for calling the Loading obj's underlying member method code with example usage: obj.is_load_module(module) and returns: unknown