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各个课程代码运行顺序.md

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各个课程代码运行顺序.md

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#lessonOne:execute.py->app.py #lessonTwo:data_utils.py->execute.py->app.py #lessonThree:VAE.py->execute.py->app.py #lessonFour:train.py->trans_style.py #lessonFive:data_ults.py->execute.py->app.py #lessonSix:（如果需要图片转cifar10格式的文件）to_cifar10.py->execute.py->app.py #lessonSeven:run_classifer.py执行顺序： 1、export BERT_BASE_DIR=chinese_L-12_H-768_A-12 2、export MY_DATASET= data 3、python3 run_classifier.py --task_name=sim --do_train=true --do_eval=true --do_predict=true --data_dir=data --vocab_file=$BERT_BASE_DIR/vocab.txt --bert_config_file=$BERT_BASE_DIR/bert_config.json --init_checkpoint=$BERT_BASE_DIR/bert_model.ckpt --max_seq_length=128 --train_batch_size=32 --learning_rate=5e-5 --num_train_epochs=4.0 --output_dir=sim_output

#lessonEight:data_utils.py->execute.py->app.py #lessonNine:app.py #lessonTen:source_datautlis.py->execute.py->app.py