개요

• 공식 튜토리얼 중 pytorch/tutorials@bc9cac0 를 참고하여 반영하였습니다.
• 1.6 버전이 되면 새롭게 프로토타입(prototypes)이 추가되었습니다.
• 현재 메인 메뉴에서 바로 접근이 불가능한 튜토리얼은 이탤릭 으로 표시하였습니다.
• 1.5 버전의 이슈는 1.5 튜토리얼 내용을 변경 / 반영합니다. #68 에서 확인하실 수 있습니다.
• 아래 내용은 수동으로 관리하여 최신 상태를 반영하고 있지 않거나, 잘못될 수 있습니다. 고쳐야 할 내용을 발견하시면 덧글로 알려주세요!

초급 튜토리얼 (beginner)

• audio_preprocessing_tutorial.py
  • 재번역이 필요합니다. 기존 번역 내용은 여기에서 확인할 수 있습니다.
• aws_distributed_training_tutorial.py
• chatbot_tutorial.py
• colab.rst
• data_loading_tutorial.py
• dcgan_faces_tutorial.py
• deep_learning_60min_blitz.rst
  • blitz/autograd_tutorial.py
  • blitz/cifar10_tutorial.py
  • blitz/data_parallel_tutorial.py
  • blitz/neural_networks_tutorial.py
  • blitz/tensor_tutorial.py
• deep_learning_nlp_tutorial.rst
  • nlp/advanced_tutorial.py
  • nlp/deep_learning_tutorial.py
  • nlp/pytorch_tutorial.py
  • nlp/sequence_models_tutorial.py
  • nlp/word_embeddings_tutorial.py
• deploy_seq2seq_hybrid_frontend_tutorial.py
• dist_overview.rst
• fgsm_tutorial.py
• former_torchies_tutorial.rst
  • former_torchies/autograd_tutorial_old.py
  • former_torchies/nnft_tutorial.py
  • former_torchies/parallelism_tutorial.py
  • former_torchies/tensor_tutorial_old.py
• hybrid_frontend_tutorial.rst
  • hybrid_frontend/learning_hybrid_frontend_through_example_tutorial.py
• Intro_to_TorchScript_tutorial.py
• nn_tutorial.py
• ptcheat.rst
• PyTorch Cheat.md
• pytorch_with_examples.rst
  • examples_autograd/tf_two_layer_net.py
  • examples_autograd/two_layer_net_autograd.py
  • examples_autograd/two_layer_net_custom_function.py
  • examples_nn/dynamic_net.py
  • examples_nn/two_layer_net_module.py
  • examples_nn/two_layer_net_nn.py
  • examples_nn/two_layer_net_optim.py
  • examples_tensor/two_layer_net_numpy.py
  • examples_tensor/two_layer_net_tensor.py
• saving_loading_models.py
• text_sentiment_ngrams_tutorial.py
• torchtext_translation_tutorial.py
• transfer_learning_tutorial.py
• transformer_tutorial.py

중급 튜토리얼 (intermediate)

• char_rnn_classification_tutorial.py
• dist_pipeline_parallel_tutorial.rst
• char_rnn_generation_tutorial.py
• ddp_tutorial.rst
• dist_pipeline_parallel_tutorial.rst
• dist_tuto.rst
• dynamic_quantization_bert_tutorial.rst
• flask_rest_api_tutorial.py
• memory_format_tutorial.py
• model_parallel_tutorial.py
• named_tensor_tutorial.py
• pruning_tutorial.py
• quantized_transfer_learning_tutorial.rst
• reinforcement_q_learning.py
• rpc_async_execution.rst
• rpc_param_server_tutorial.rst
• rpc_tutorial.rst
• seq2seq_translation_tutorial.py
• spatial_transformer_tutorial.py
• tensorboard_tutorial.rst
• torchvision_tutorial.rst

고급 튜토리얼 (advanced)

• cpp_autograd.rst
• cpp_export.rst
• cpp_extension.rst
• cpp_frontend.rst
• dispatcher.rst
• dynamic_quantization_tutorial.py
• neural_style_tutorial.py
• numpy_extensions_tutorial.py
• ONNXLive.rst
• rpc_ddp_tutorial.rst
• static_quantization_tutorial.py
• super_resolution_with_onnxruntime.py
• torch_script_custom_classes.rst
• torch_script_custom_ops.rst
• torch-script-parallelism.rst

레시피 (recipes)

• android_native_app_with_custom_op.rst
• deployment_with_flask.rst
• mobile_perf.rst
• torchscript_inference.rst
• recipes/Captum_Recipe.py
• recipes/custom_dataset_transforms_loader.py
• recipes/defining_a_neural_network.py
• recipes/dynamic_quantization.py
• recipes/loading_data_recipe.py
• recipes/profiler.py
• recipes/save_load_across_devices.py
• recipes/saving_and_loading_a_general_checkpoint.py
• recipes/saving_and_loading_models_for_inference.py
• recipes/saving_multiple_models_in_one_file.py
• recipes/tensorboard_with_pytorch.py
• recipes/warmstarting_model_using_parameters_from_a_different_model.py
• recipes/what_is_state_dict.py
• recipes/zeroing_out_gradients.py

프로토타입 (prototype)

• distributed_rpc_profiling.rst
• graph_mode_dynamic_bert_tutorial.rst
• graph_mode_static_quantization_tutorial.py
• numeric_suite_tutorial.py
• README.md
• README.txt
• torchscript_freezing.py