Computation times

03:55.882 total execution time for beginner files:

nn.Transformer 와 TorchText 로 시퀀스-투-시퀀스(Sequence-to-Sequence) 모델링하기 (transformer_tutorial.py)	01:52.493	0.0 MB
torchtext 라이브러리로 텍스트 분류하기 (text_sentiment_ngrams_tutorial.py)	01:36.854	0.0 MB
오디오 데이터 증강 (audio_data_augmentation_tutorial.py)	00:18.166	0.0 MB
TorchText로 언어 번역하기 (torchtext_translation.py)	00:08.370	0.0 MB
TorchScript 소개 (Intro_to_TorchScript_tutorial.py)	00:00.000	0.0 MB
Audio Datasets (audio_datasets_tutorial.py)	00:00.000	0.0 MB
Audio Feature Augmentation (audio_feature_augmentation_tutorial.py)	00:00.000	0.0 MB
Audio Feature Extractions (audio_feature_extractions_tutorial.py)	00:00.000	0.0 MB
Audio I/O (audio_io_tutorial.py)	00:00.000	0.0 MB
Audio Resampling (audio_resampling_tutorial.py)	00:00.000	0.0 MB
챗봇 튜토리얼 (chatbot_tutorial.py)	00:00.000	0.0 MB
사용자 정의 Dataset, Dataloader, Transforms 작성하기 (data_loading_tutorial.py)	00:00.000	0.0 MB
DCGAN 튜토리얼 (dcgan_faces_tutorial.py)	00:00.000	0.0 MB
Deploying a Seq2Seq Model with TorchScript (deploy_seq2seq_hybrid_frontend_tutorial.py)	00:00.000	0.0 MB
적대적 예제 생성(Adversarial Example Generation) (fgsm_tutorial.py)	00:00.000	0.0 MB
Finetuning Torchvision Models (finetuning_torchvision_models_tutorial.py)	00:00.000	0.0 MB
TorchMultimodal Tutorial: Finetuning FLAVA (flava_finetuning_tutorial.py)	00:00.000	0.0 MB
torch.nn 이 실제로 무엇인가요? (nn_tutorial.py)	00:00.000	0.0 MB
컴퓨터 비전(Vision)을 위한 전이학습(Transfer Learning) (transfer_learning_tutorial.py)	00:00.000	0.0 MB
배포를 위한 비전 트랜스포머(Vision Transformer) 모델 최적화하기 (vt_tutorial.py)	00:00.000	0.0 MB