Computation times

16:35.446 total execution time for intermediate files:

기초부터 시작하는 NLP: Sequence to Sequence 네트워크와 Attention을 이용한 번역 (seq2seq_translation_tutorial.py)	06:47.536	0.0 MB
강화 학습 (DQN) 튜토리얼 (reinforcement_q_learning.py)	03:44.706	0.0 MB
단일 머신을 사용한 모델 병렬화 모범 사례 (model_parallel_tutorial.py)	01:51.404	0.0 MB
Reinforcement Learning (PPO) with TorchRL Tutorial (reinforcement_ppo.py)	01:48.534	0.0 MB
공간 변형 네트워크(Spatial Transformer Networks) 튜토리얼 (spatial_transformer_tutorial.py)	01:13.398	0.0 MB
마리오 게임 RL 에이전트로 학습하기 (mario_rl_tutorial.py)	00:48.581	0.0 MB
(Beta) Scaled Dot Product Attention (SDPA)로 고성능 트랜스포머(Transformers) 구현하기 (scaled_dot_product_attention_tutorial.py)	00:05.100	0.0 MB
Introduction to torch.compile (torch_compile_tutorial.py)	00:05.023	0.0 MB
How to save memory by fusing the optimizer step into the backward pass (optimizer_step_in_backward_tutorial.py)	00:04.554	0.0 MB
Per-sample-gradients (per_sample_grads.py)	00:03.941	0.0 MB
torch.export Tutorial (torch_export_tutorial.py)	00:01.206	0.0 MB
파이프라인 병렬화로 트랜스포머 모델 학습시키기 (pipeline_tutorial.py)	00:00.564	0.0 MB
모델 앙상블 (ensembling.py)	00:00.476	0.0 MB
Inductor CPU backend debugging and profiling (inductor_debug_cpu.py)	00:00.234	0.0 MB
Neural Tangent Kernels (neural_tangent_kernels.py)	00:00.191	0.0 MB
미분자동화(autograd) 저장된 tensor를 위한 Hooks (autograd_saved_tensors_hooks_tutorial.py)	00:00.000	0.0 MB
Multi-Objective NAS with Ax (ax_multiobjective_nas_tutorial.py)	00:00.000	0.0 MB
기초부터 시작하는 NLP: 문자-단위 RNN으로 이름 분류하기 (char_rnn_classification_tutorial.py)	00:00.000	0.0 MB
기초부터 시작하는 NLP: 문자-단위 RNN으로 이름 생성하기 (char_rnn_generation_tutorial.py)	00:00.000	0.0 MB
Fusing Convolution and Batch Norm using Custom Function (custom_function_conv_bn_tutorial.py)	00:00.000	0.0 MB
Recurrent DQN: Training recurrent policies (dqn_with_rnn_tutorial.py)	00:00.000	0.0 MB
Flask를 사용하여 Python에서 PyTorch를 REST API로 배포하기 (flask_rest_api_tutorial.py)	00:00.000	0.0 MB
wav2vec2을 이용한 강제 정렬 (forced_alignment_with_torchaudio_tutorial.py)	00:00.000	0.0 MB
Forward-mode Automatic Differentiation (Beta) (forward_ad_usage.py)	00:00.000	0.0 MB
(베타) FX에서 합성곱/배치 정규화(Convolution/Batch Norm) 결합기(Fuser) 만들기 (fx_conv_bn_fuser.py)	00:00.000	0.0 MB
(beta) Building a Simple CPU Performance Profiler with FX (fx_profiling_tutorial.py)	00:00.000	0.0 MB
Jacobians, Hessians, hvp, vhp, and more: composing function transforms (jacobians_hessians.py)	00:00.000	0.0 MB
(베타) PyTorch를 사용한 Channels Last 메모리 형식 (memory_format_tutorial.py)	00:00.000	0.0 MB
sphx_glr_intermediate_mnist_train_nas.py (mnist_train_nas.py)	00:00.000	0.0 MB
Parametrizations Tutorial (parametrizations.py)	00:00.000	0.0 MB
가지치기 기법(Pruning) 튜토리얼 (pruning_tutorial.py)	00:00.000	0.0 MB
텐서보드를 이용한 파이토치 프로파일러 (tensorboard_profiler_tutorial.py)	00:00.000	0.0 MB
TorchVision Object Detection Finetuning Tutorial (torchvision_tutorial.py)	00:00.000	0.0 MB