docstr: Proteins_label_embedding_model
          
docstr_tok: ["Proteins_label_embedding_model"]
code: def __init__(self, gw, hidden_size, num_heads, dropout, num_layers):
      """Proteins_label_embedding_model"""
      super(Proteins_label_embedding_model, self).__init__(
          gw=gw,
          hidden_size=hidden_size,
          num_heads=num_heads,
          dropout=dropout,
          num_layers=num_layers,
      )
  
file_path: PGL/ogb_examples/nodeproppred/ogbn-proteins/unimp_cross_feat/model.py
imports: import math
  import paddle.fluid
  import paddle.fluid.layers
  from module.transformer_gat_pgl import transformer_gat_pgl, split_gw
label_desc: Use image node_id 1 to create a new Proteins_label_embedding_model object from inherited base classes: Proteins_baseline_model with example: obj = Proteins_label_embedding_model(gw, hidden_size, num_heads, dropout, num_layers)