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@ -1,6 +1,6 @@
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Data:
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Data:
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preprocess_root: "../data/processed_dataset/DatasetJSON/"
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preprocess_root: "/root/autodl-tmp/"
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train_vocab_file: "../data/processed_dataset/train_external_function_name_vocab.jsonl"
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train_vocab_file: "/root/autodl-tmp/train_external_function_name_vocab.jsonl"
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max_vocab_size: 10000 # modify according to the result of 1BuildExternalVocab.py
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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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Training:
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cuda: True # enable GPU training if cuda is available
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cuda: True # enable GPU training if cuda is available
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@ -265,7 +265,7 @@ def main_train_worker(local_rank: int, nprocs: int, train_params: TrainParams, m
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# https://hydra.cc/docs/tutorials/basic/your_first_app/defaults#overriding-a-config-group-default
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# https://hydra.cc/docs/tutorials/basic/your_first_app/defaults#overriding-a-config-group-default
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@hydra.main(config_path="../configs/", config_name="default.yaml")
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@hydra.main(config_path="../configs/", config_name="default.yaml", version_base=None)
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def main_app(config: DictConfig):
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def main_app(config: DictConfig):
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# set seed for determinism for reproduction
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# set seed for determinism for reproduction
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random.seed(config.Training.seed)
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random.seed(config.Training.seed)
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@ -29,6 +29,9 @@ class MalwareDetectionDataset(Dataset):
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# return 201
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# return 201
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return len(self.malware_files) + len(self.benign_files)
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return len(self.malware_files) + len(self.benign_files)
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def len(self):
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return len(self.malware_files) + len(self.benign_files)
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def get(self, idx):
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def get(self, idx):
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split = len(self.malware_files)
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split = len(self.malware_files)
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# split = 100
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# split = 100
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