2023-11-09 14:30:38 +08:00
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Data:
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2024-01-10 10:32:38 +08:00
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preprocess_root: "/home/king/python/data/processed_dataset/DatasetJSON"
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train_vocab_file: "/home/king/python/data/processed_dataset/train_external_function_name_vocab.jsonl"
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2023-11-09 14:30:38 +08:00
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max_vocab_size: 10000 # modify according to the result of 1BuildExternalVocab.py
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Training:
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cuda: True # enable GPU training if cuda is available
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dist_backend: "nccl" # if using torch.distribution, the backend to be used
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dist_port: "1234"
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max_epoches: 10
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train_batch_size: 16
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test_batch_size: 32
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seed: 19920208
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only_test_path: 'None'
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Model:
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ablation_models: "Full" # "Full"
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gnn_type: "GraphSAGE" # "GraphSAGE" / "GCN"
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pool_type: "global_max_pool" # "global_max_pool" / "global_mean_pool"
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acfg_node_init_dims: 11
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cfg_filters: "200-200"
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fcg_filters: "200-200"
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number_classes: 1
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drapout_rate: 0.2
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Optimizer:
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name: "AdamW" # Adam / AdamW
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learning_rate: 1e-3 # initial learning rate
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weight_decay: 1e-5 # initial weight decay
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learning_anneal: 1.1 # Annealing applied to learning rate after each epoch
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