code: def optimizer_func(lr=0.01):
      return F.optimizer.AdamOptimizer(
          learning_rate=lr,
          regularization=F.regularizer.L2Decay(
              regularization_coeff=0.0005
          ),
      )
  
file_path: PGL/ogb_examples/nodeproppred/unimp/main_arxiv_large.py
imports: import math
  import torch
  import paddle
  import pgl
  import numpy
  import paddle.fluid
  import paddle.fluid.layers
  from pgl.contrib.ogb.nodeproppred.dataset_pgl import PglNodePropPredDataset
  from ogb.nodeproppred import Evaluator
  from utils import to_undirected, add_self_loop, linear_warmup_decay
  from model_large import Arxiv_baseline_model, Arxiv_label_embedding_model
  import argparse
  from tqdm import tqdm
label_desc: Use image node_id 2 for calling a global function with example usage: optimizer_func(lr) and returns: F