Computation times

04:44.077 total execution time for beginner files:

Knowledge Distillation Tutorial (knowledge_distillation_tutorial.py)	02:54.454	0.0 MB
챗봇 튜토리얼 (chatbot_tutorial.py)	01:44.020	0.0 MB
TorchText로 언어 번역하기 (torchtext_translation.py)	00:04.110	0.0 MB
적대적 예제 생성(Adversarial Example Generation) (fgsm_tutorial.py)	00:00.923	0.0 MB
nn.Transformer 와 torchtext로 시퀀스-투-시퀀스(Sequence-to-Sequence) 모델링하기 (transformer_tutorial.py)	00:00.571	0.0 MB
TorchScript 소개 (Intro_to_TorchScript_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
sphx_glr_beginner_finetuning_torchvision_models_tutorial.py (finetuning_torchvision_models_tutorial.py)	00:00.000	0.0 MB
TorchMultimodal 튜토리얼: FLAVA 미세조정 (flava_finetuning_tutorial.py)	00:00.000	0.0 MB
Ray Tune을 사용한 하이퍼파라미터 튜닝 (hyperparameter_tuning_tutorial.py)	00:00.000	0.0 MB
torch.nn 이 실제로 무엇인가요? (nn_tutorial.py)	00:00.000	0.0 MB
PyTorch 모듈 프로파일링하기 (profiler.py)	00:00.000	0.0 MB
모델 저장하기 & 불러오기 (saving_loading_models.py)	00:00.000	0.0 MB
T5-Base Model for Summarization, Sentiment Classification, and Translation (t5_tutorial.py)	00:00.000	0.0 MB
Template Tutorial (template_tutorial.py)	00:00.000	0.0 MB
torchtext 라이브러리로 텍스트 분류하기 (text_sentiment_ngrams_tutorial.py)	00:00.000	0.0 MB
Preprocess custom text dataset using Torchtext (torchtext_custom_dataset_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
nn.Transformer 와 torchtext로 언어 번역하기 (translation_transformer.py)	00:00.000	0.0 MB
배포를 위해 비전 트랜스포머(Vision Transformer) 모델 최적화하기 (vt_tutorial.py)	00:00.000	0.0 MB