1.6 튜토리얼 내용을 변경 / 반영합니다.

[9bow]

개요

• 공식 튜토리얼 중 https://github.com/pytorch/tutorials/commit/bc9cac0a77512136d91d717e3c8f1e83165b196d 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 #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
• [x] _chatbot_tutorial.py_
• [x] colab.rst
• [x] data_loading_tutorial.py
• [ ] dcgan_faces_tutorial.py
• [x] deep_learning_60min_blitz.rst
  • [x] blitz/autograd_tutorial.py
  • [x] blitz/cifar10_tutorial.py
  • [x] _blitz/data_parallel_tutorial.py_
  • [x] blitz/neural_networks_tutorial.py
  • [x] blitz/tensor_tutorial.py
• [x] _deep_learning_nlp_tutorial.rst_
  • [ ] _nlp/advanced_tutorial.py_
  • [x] _nlp/deep_learning_tutorial.py_
  • [x] _nlp/pytorch_tutorial.py_
  • [x] _nlp/sequence_models_tutorial.py_
  • [ ] _nlp/word_embeddings_tutorial.py_
• [ ] _deploy_seq2seq_hybrid_frontend_tutorial.py_
• [ ] dist_overview.rst
• [x] fgsm_tutorial.py
• [x] former_torchies_tutorial.rst
  • [x] former_torchies/autograd_tutorial_old.py
  • [x] former_torchies/nnft_tutorial.py
  • [x] former_torchies/parallelism_tutorial.py
  • [x] former_torchies/tensor_tutorial_old.py
• [ ] _hybrid_frontend_tutorial.rst_
  • [ ] _hybrid_frontend/learning_hybrid_frontend_through_example_tutorial.py_
• [x] Intro_to_TorchScript_tutorial.py
• [ ] nn_tutorial.py
• [ ] ptcheat.rst
• [ ] _PyTorch Cheat.md_
• [x] pytorch_with_examples.rst
  • [x] examples_autograd/tf_two_layer_net.py
  • [x] examples_autograd/two_layer_net_autograd.py
  • [x] examples_autograd/two_layer_net_custom_function.py
  • [x] examples_nn/dynamic_net.py
  • [x] examples_nn/two_layer_net_module.py
  • [x] examples_nn/two_layer_net_nn.py
  • [x] examples_nn/two_layer_net_optim.py
  • [x] examples_tensor/two_layer_net_numpy.py
  • [x] examples_tensor/two_layer_net_tensor.py
• [x] _saving_loading_models.py_
• [x] text_sentiment_ngrams_tutorial.py
• [x] torchtext_translation_tutorial.py
• [x] transfer_learning_tutorial.py
• [x] transformer_tutorial.py

중급 튜토리얼 (intermediate)

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

고급 튜토리얼 (advanced)

• [ ] cpp_autograd.rst
• [x] cpp_export.rst
• [ ] cpp_extension.rst
• [ ] cpp_frontend.rst
• [ ] dispatcher.rst
• [ ] dynamic_quantization_tutorial.py
• [ ] neural_style_tutorial.py
• [x] numpy_extensions_tutorial.py
• [ ] _ONNXLive.rst_
• [ ] rpc_ddp_tutorial.rst
• [ ] static_quantization_tutorial.py
• [x] super_resolution_with_onnxruntime.py
• [ ] torch_script_custom_classes.rst
• [ ] torch_script_custom_ops.rst
• [ ] torch-script-parallelism.rst

레시피 (recipes)

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

[9bow]

v1.8 버전을 반영하여 새 이슈(#210)에서 진행합니다.