intermediate/sg_execution_times

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Computation times

65:42.378 total execution time for 35 files from intermediate:

Example	Time	Mem (MB)
Multi-Objective NAS with Ax (ax_multiobjective_nas_tutorial.py)	15:34.231	0.0
기초부터 시작하는 NLP: Sequence to Sequence 네트워크와 Attention을 이용한 번역 (seq2seq_translation_tutorial.py)	12:42.958	0.0
강화 학습 (DQN) 튜토리얼 (reinforcement_q_learning.py)	09:47.742	0.0
기초부터 시작하는 NLP: 문자-단위 RNN으로 이름 분류하기 (char_rnn_classification_tutorial.py)	04:41.329	0.0
기초부터 시작하는 NLP: 문자-단위 RNN으로 이름 생성하기 (char_rnn_generation_tutorial.py)	03:49.522	0.0
Introduction to torch.compile (torch_compile_tutorial.py)	03:25.901	0.0
Inductor CPU backend debugging and profiling (inductor_debug_cpu.py)	02:42.430	0.0
Reinforcement Learning (PPO) with TorchRL Tutorial (reinforcement_ppo.py)	02:21.681	0.0
공간 변형 네트워크(Spatial Transformer Networks) 튜토리얼 (spatial_transformer_tutorial.py)	01:50.684	0.0
옵티마이저 단계를 backward pass에 합쳐서 메모리 절약하기 (optimizer_step_in_backward_tutorial.py)	01:44.579	0.0
마리오 게임 RL 에이전트로 학습하기 (mario_rl_tutorial.py)	01:19.968	0.0
Accelerating PyTorch Transformers by replacing nn.Transformer with Nested Tensors and torch.compile() (transformer_building_blocks.py)	01:19.616	0.0
A guide on good usage of non_blocking and pin_memory() in PyTorch (pinmem_nonblock.py)	01:02.789	0.0
TorchVision Object Detection Finetuning Tutorial (torchvision_tutorial.py)	00:52.968	0.0
torch.export Tutorial (torch_export_tutorial.py)	00:42.143	0.0
Per-sample-gradients (per_sample_grads.py)	00:21.467	0.0
Fusing Convolution and Batch Norm using Custom Function (custom_function_conv_bn_tutorial.py)	00:17.054	0.0
(Beta) Scaled Dot Product Attention (SDPA)로 고성능 트랜스포머(Transformers) 구현하기 (scaled_dot_product_attention_tutorial.py)	00:12.102	0.0
wav2vec2을 이용한 강제 정렬 (forced_alignment_with_torchaudio_tutorial.py)	00:11.393	0.0
Jacobians, Hessians, hvp, vhp, and more: composing function transforms (jacobians_hessians.py)	00:10.341	0.0
Neural Tangent Kernels (neural_tangent_kernels.py)	00:05.648	0.0
모델 앙상블 (ensembling.py)	00:05.646	0.0
(베타) PyTorch를 사용한 Channels Last 메모리 형식 (memory_format_tutorial.py)	00:05.257	0.0
미분 자동화(autograd)에서 저장된 tensor를 위한 Hooks (autograd_saved_tensors_hooks_tutorial.py)	00:05.076	0.0
가지치기 기법(Pruning) 튜토리얼 (pruning_tutorial.py)	00:04.590	0.0
Visualizing Gradients (visualizing_gradients_tutorial.py)	00:04.162	0.0
파이프라인 병렬화로 트랜스포머 모델 학습시키기 (pipeline_tutorial.py)	00:00.731	0.0
(beta) Building a Simple CPU Performance Profiler with FX (fx_profiling_tutorial.py)	00:00.219	0.0
Forward-mode Automatic Differentiation (Beta) (forward_ad_usage.py)	00:00.105	0.0
Parametrizations Tutorial (parametrizations.py)	00:00.046	0.0
Recurrent DQN: Training recurrent policies (dqn_with_rnn_tutorial.py)	00:00.000	0.0
sphx_glr_intermediate_mnist_train_nas.py (mnist_train_nas.py)	00:00.000	0.0
텐서보드를 이용한 파이토치 프로파일러 (tensorboard_profiler_tutorial.py)	00:00.000	0.0
Building a Convolution/Batch Norm fuser with torch.compile (torch_compile_conv_bn_fuser.py)	00:00.000	0.0
Introduction to TorchRec (torchrec_intro_tutorial.py)	00:00.000	0.0