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site_name: 【布客】PyTorch 中文翻译
site_url: https://pytorch.apachecn.org
# Repository
repo_name: apachecn/pytorch-doc-zh
repo_url: https://github.com/apachecn/pytorch-doc-zh
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nav:
- "PyTorch 中文文档 & 教程": "index.md"
- "PyTorch 新特性":
- "V2.3": "LatestChanges/PyTorch_V2.3.md"
- "V2.2": "LatestChanges/PyTorch_V2.2.md"
- "V2.1": "LatestChanges/PyTorch_V2.1.md"
- "V2.0": "LatestChanges/PyTorch_V2.0.md"
- "V1.13": "LatestChanges/PyTorch_V1.13.md"
- "V1.12": "LatestChanges/PyTorch_V1.12.md"
- "V1.11": "LatestChanges/PyTorch_V1.11.md"
- "V1.10": "LatestChanges/PyTorch_V1.10.md"
- "V1.9": "LatestChanges/PyTorch_V1.9.md"
- "V1.8": "LatestChanges/PyTorch_V1.8.md"
- "V1.7": "LatestChanges/PyTorch_V1.7.md"
- "V1.6": "LatestChanges/PyTorch_V1.6.md"
- "V1.5": "LatestChanges/PyTorch_V1.5.md"
- "V1.4": "LatestChanges/PyTorch_V1.4.md"
- "V1.3": "LatestChanges/PyTorch_V1.3.md"
- "V1.2": "LatestChanges/PyTorch_V1.2.md"
- "PyTorch 2.x 中文文档 & 教程":
- "中文教程":
- "PyTorch Recipes":
- "See All Recipes": "2.0/tutorials/recipes/recipes_index.md"
- "See All Prototype Recipes": "2.0/tutorials/prototype/prototype_index.md"
- "Introduction to PyTorch":
- "Learn the Basics": "2.0/tutorials/beginner/basics/intro.md"
- "Quickstart": "2.0/tutorials/beginner/basics/quickstart_tutorial.md"
- "Tensors": "2.0/tutorials/beginner/basics/tensorqs_tutorial.md"
- "Datasets & DataLoaders": "2.0/tutorials/beginner/basics/data_tutorial.md"
- "Transforms": "2.0/tutorials/beginner/basics/transforms_tutorial.md"
- "Build the Neural Network": "2.0/tutorials/beginner/basics/buildmodel_tutorial.md"
- "Automatic Differentiation with torch.autograd": "2.0/tutorials/beginner/basics/autogradqs_tutorial.md"
- "Optimizing Model Parameters": "2.0/tutorials/beginner/basics/optimization_tutorial.md"
- "Save and Load the Model": "2.0/tutorials/beginner/basics/saveloadrun_tutorial.md"
- "Introduction to PyTorch on YouTube":
- "Introduction to PyTorch - YouTube Series": "2.0/tutorials/beginner/introyt.md"
- "Introduction to PyTorch": "2.0/tutorials/beginner/introyt/introyt1_tutorial.md"
- "Introduction to PyTorch Tensors": "2.0/tutorials/beginner/introyt/tensors_deeper_tutorial.md"
- "The Fundamentals of Autograd": "2.0/tutorials/beginner/introyt/autogradyt_tutorial.md"
- "Building Models with PyTorch": "2.0/tutorials/beginner/introyt/modelsyt_tutorial.md"
- "PyTorch TensorBoard Support": "2.0/tutorials/beginner/introyt/tensorboardyt_tutorial.md"
- "Training with PyTorch": "2.0/tutorials/beginner/introyt/trainingyt.md"
- "Model Understanding with Captum": "2.0/tutorials/beginner/introyt/captumyt.md"
- "Learning PyTorch":
- "Deep Learning with PyTorch: A 60 Minute Blitz": "2.0/tutorials/beginner/deep_learning_60min_blitz.md"
- "Learning PyTorch with Examples": "2.0/tutorials/beginner/pytorch_with_examples.md"
- "What is torch.nn really?": "2.0/tutorials/beginner/nn_tutorial.md"
- "Visualizing Models, Data, and Training with TensorBoard": "2.0/tutorials/intermediate/tensorboard_tutorial.md"
- "Image and Video":
- "TorchVision Object Detection Finetuning Tutorial": "2.0/tutorials/intermediate/torchvision_tutorial.md"
- "Transfer Learning for Computer Vision Tutorial": "2.0/tutorials/beginner/transfer_learning_tutorial.md"
- "Adversarial Example Generation": "2.0/tutorials/beginner/fgsm_tutorial.md"
- "DCGAN Tutorial": "2.0/tutorials/beginner/dcgan_faces_tutorial.md"
- "Spatial Transformer Networks Tutorial": "2.0/tutorials/intermediate/spatial_transformer_tutorial.md"
- "Optimizing Vision Transformer Model for Deployment": "2.0/tutorials/beginner/vt_tutorial.md"
- "Whole Slide Image Classification Using PyTorch and TIAToolbox": "2.0/tutorials/intermediate/tiatoolbox_tutorial.md"
- "Audio":
- "Audio I/O": "2.0/tutorials/beginner/audio_io_tutorial.md"
- "Audio Resampling": "2.0/tutorials/beginner/audio_resampling_tutorial.md"
- "Audio Data Augmentation": "2.0/tutorials/beginner/audio_data_augmentation_tutorial.md"
- "Audio Feature Extractions": "2.0/tutorials/beginner/audio_feature_extractions_tutorial.md"
- "Audio Feature Augmentation": "2.0/tutorials/beginner/audio_feature_augmentation_tutorial.md"
- "Audio Datasets": "2.0/tutorials/beginner/audio_datasets_tutorial.md"
- "Speech Recognition with Wav2Vec2": "2.0/tutorials/intermediate/speech_recognition_pipeline_tutorial.md"
- "Text-to-speech with Tacotron2": "2.0/tutorials/intermediate/text_to_speech_with_torchaudio.md"
- "Forced Alignment with Wav2Vec2": "2.0/tutorials/intermediate/forced_alignment_with_torchaudio_tutorial.md"
- "Text":
- "Fast Transformer Inference with Better Transformer": "2.0/tutorials/beginner/bettertransformer_tutorial.md"
- "NLP From Scratch: Classifying Names with a Character-Level RNN": "2.0/tutorials/intermediate/char_rnn_classification_tutorial.md"
- "NLP From Scratch: Generating Names with a Character-Level RNN": "2.0/tutorials/intermediate/char_rnn_generation_tutorial.md"
- "NLP From Scratch: Translation with a Sequence to Sequence Network and Attention": "2.0/tutorials/intermediate/seq2seq_translation_tutorial.md"
- "Text classification with the torchtext library": "2.0/tutorials/beginner/text_sentiment_ngrams_tutorial.md"
- "Language Translation with nn.Transformer and torchtext": "2.0/tutorials/beginner/translation_transformer.md"
- "Preprocess custom text dataset using Torchtext": "2.0/tutorials/beginner/torchtext_custom_dataset_tutorial.md"
- "Backends":
- "Introduction to ONNX": "2.0/tutorials/beginner/onnx/intro_onnx.md"
- "Reinforcement Learning":
- "Reinforcement Learning (DQN) Tutorial": "2.0/tutorials/intermediate/reinforcement_q_learning.md"
- "Reinforcement Learning (PPO) with TorchRL Tutorial": "2.0/tutorials/intermediate/reinforcement_ppo.md"
- "Train a Mario-playing RL Agent": "2.0/tutorials/intermediate/mario_rl_tutorial.md"
- "Pendulum: Writing your environment and transforms with TorchRL": "2.0/tutorials/advanced/pendulum.md"
- "Deploying PyTorch Models in Production":
- "Introduction to ONNX": "2.0/tutorials/beginner/onnx/intro_onnx.md"
- "Deploying PyTorch in Python via a REST API with Flask": "2.0/tutorials/intermediate/flask_rest_api_tutorial.md"
- "Introduction to TorchScript": "2.0/tutorials/beginner/Intro_to_TorchScript_tutorial.md"
- "Loading a TorchScript Model in C++": "2.0/tutorials/advanced/cpp_export.md"
- "(optional) Exporting a Model from PyTorch to ONNX and Running it using ONNX Runtime": "2.0/tutorials/advanced/super_resolution_with_onnxruntime.md"
- "Real Time Inference on Raspberry Pi 4 (30 fps!)": "2.0/tutorials/intermediate/realtime_rpi.md"
- "Profiling PyTorch":
- "Profiling your PyTorch Module": "2.0/tutorials/beginner/profiler.md"
- "Introduction to Holistic Trace Analysis": "2.0/tutorials/beginner/hta_intro_tutorial.md"
- "Trace Diff using Holistic Trace Analysis": "2.0/tutorials/beginner/hta_trace_diff_tutorial.md"
- "Code Transforms with FX":
- "(beta) Building a Convolution/Batch Norm fuser in FX": "2.0/tutorials/intermediate/fx_conv_bn_fuser.md"
- "(beta) Building a Simple CPU Performance Profiler with FX": "2.0/tutorials/intermediate/fx_profiling_tutorial.md"
- "Frontend APIs":
- "(beta) Channels Last Memory Format in PyTorch": "2.0/tutorials/intermediate/memory_format_tutorial.md"
- "Forward-mode Automatic Differentiation (Beta)": "2.0/tutorials/intermediate/forward_ad_usage.md"
- "Jacobians, Hessians, hvp, vhp, and more: composing function transforms": "2.0/tutorials/intermediate/jacobians_hessians.md"
- "Model ensembling": "2.0/tutorials/intermediate/ensembling.md"
- "Per-sample-gradients": "2.0/tutorials/intermediate/per_sample_grads.md"
- "Using the PyTorch C++ Frontend": "2.0/tutorials/advanced/cpp_frontend.md"
- "Dynamic Parallelism in TorchScript": "2.0/tutorials/advanced/torch-script-parallelism.md"
- "Autograd in C++ Frontend": "2.0/tutorials/advanced/cpp_autograd.md"
- "Extending PyTorch":
- "Double Backward with Custom Functions": "2.0/tutorials/intermediate/custom_function_double_backward_tutorial.md"
- "Fusing Convolution and Batch Norm using Custom Function": "2.0/tutorials/intermediate/custom_function_conv_bn_tutorial.md"
- "Custom C++ and CUDA Extensions": "2.0/tutorials/advanced/cpp_extension.md"
- "Extending TorchScript with Custom C++ Operators": "2.0/tutorials/advanced/torch_script_custom_ops.md"
- "Extending TorchScript with Custom C++ Classes": "2.0/tutorials/advanced/torch_script_custom_classes.md"
- "Registering a Dispatched Operator in C++": "2.0/tutorials/advanced/dispatcher.md"
- "Extending dispatcher for a new backend in C++": "2.0/tutorials/advanced/extend_dispatcher.md"
- "Facilitating New Backend Integration by PrivateUse1": "2.0/tutorials/advanced/privateuseone.md"
- "Model Optimization":
- "Profiling your PyTorch Module": "2.0/tutorials/beginner/profiler.md"
- "PyTorch Profiler With TensorBoard": "2.0/tutorials/intermediate/tensorboard_profiler_tutorial.md"
- "Hyperparameter tuning with Ray Tune": "2.0/tutorials/beginner/hyperparameter_tuning_tutorial.md"
- "Optimizing Vision Transformer Model for Deployment": "2.0/tutorials/beginner/vt_tutorial.md"
- "Parametrizations Tutorial": "2.0/tutorials/intermediate/parametrizations.md"
- "Pruning Tutorial": "2.0/tutorials/intermediate/pruning_tutorial.md"
- "(beta) Dynamic Quantization on an LSTM Word Language Model": "2.0/tutorials/advanced/dynamic_quantization_tutorial.md"
- "(beta) Dynamic Quantization on BERT": "2.0/tutorials/intermediate/dynamic_quantization_bert_tutorial.md"
- "(beta) Quantized Transfer Learning for Computer Vision Tutorial": "2.0/tutorials/intermediate/quantized_transfer_learning_tutorial.md"
- "(beta) Static Quantization with Eager Mode in PyTorch": "2.0/tutorials/advanced/static_quantization_tutorial.md"
- "Grokking PyTorch Intel CPU performance from first principles": "2.0/tutorials/intermediate/torchserve_with_ipex.md"
- "Grokking PyTorch Intel CPU performance from first principles (Part 2)": "2.0/tutorials/intermediate/torchserve_with_ipex_2.md"
- "Getting Started - Accelerate Your Scripts with nvFuser": "2.0/tutorials/intermediate/nvfuser_intro_tutorial.md"
- "Multi-Objective NAS with Ax": "2.0/tutorials/intermediate/ax_multiobjective_nas_tutorial.md"
- "Introduction to torch.compile": "2.0/tutorials/intermediate/torch_compile_tutorial.md"
- "Inductor CPU backend debugging and profiling": "2.0/tutorials/intermediate/inductor_debug_cpu.md"
- "(Beta) Implementing High-Performance Transformers with Scaled Dot Product Attention (SDPA)": "2.0/tutorials/intermediate/scaled_dot_product_attention_tutorial.md"
- "Using SDPA with torch.compile": "2.0/tutorials/intermediate/scaled_dot_product_attention_tutorial#using-sdpa-with-torch-compile.md"
- "Using SDPA with attn_bias subclasses`": "2.0/tutorials/intermediate/scaled_dot_product_attention_tutorial#using-sdpa-with-attn-bias-subclasses.md"
- "Conclusion": "2.0/tutorials/intermediate/scaled_dot_product_attention_tutorial#conclusion.md"
- "Knowledge Distillation Tutorial": "2.0/tutorials/beginner/knowledge_distillation_tutorial.md"
- "Parallel and Distributed Training":
- "Distributed and Parallel Training Tutorials": "2.0/tutorials/distributed/home.md"
- "PyTorch Distributed Overview": "2.0/tutorials/beginner/dist_overview.md"
- "Distributed Data Parallel in PyTorch - Video Tutorials": "2.0/tutorials/beginner/ddp_series_intro.md"
- "Single-Machine Model Parallel Best Practices": "2.0/tutorials/intermediate/model_parallel_tutorial.md"
- "Getting Started with Distributed Data Parallel": "2.0/tutorials/intermediate/ddp_tutorial.md"
- "Writing Distributed Applications with PyTorch": "2.0/tutorials/intermediate/dist_tuto.md"
- "Getting Started with Fully Sharded Data Parallel(FSDP)": "2.0/tutorials/intermediate/FSDP_tutorial.md"
- "Advanced Model Training with Fully Sharded Data Parallel (FSDP)": "2.0/tutorials/intermediate/FSDP_adavnced_tutorial.md"
- "Large Scale Transformer model training with Tensor Parallel (TP)": "2.0/tutorials/intermediate/TP_tutorial.md"
- "Customize Process Group Backends Using Cpp Extensions": "2.0/tutorials/intermediate/process_group_cpp_extension_tutorial.md"
- "Getting Started with Distributed RPC Framework": "2.0/tutorials/intermediate/rpc_tutorial.md"
- "Implementing a Parameter Server Using Distributed RPC Framework": "2.0/tutorials/intermediate/rpc_param_server_tutorial.md"
- "Distributed Pipeline Parallelism Using RPC": "2.0/tutorials/intermediate/dist_pipeline_parallel_tutorial.md"
- "Implementing Batch RPC Processing Using Asynchronous Executions": "2.0/tutorials/intermediate/rpc_async_execution.md"
- "Combining Distributed DataParallel with Distributed RPC Framework": "2.0/tutorials/advanced/rpc_ddp_tutorial.md"
- "Training Transformer models using Distributed Data Parallel and Pipeline Parallelism": "2.0/tutorials/advanced/ddp_pipeline.md"
- "Distributed Training with Uneven Inputs Using the Join Context Manager": "2.0/tutorials/advanced/generic_join.md"
- "Edge with ExecuTorch":
- "Exporting to ExecuTorch Tutorial": "https://pytorch.org/executorch/stable/tutorials/export-to-executorch-tutorial.html"
- "Running an ExecuTorch Model in C++ Tutorial": "https://pytorch.org/executorch/stable/running-a-model-cpp-tutorial.html"
- "Using the ExecuTorch SDK to Profile a Model": "https://pytorch.org/executorch/stable/tutorials/sdk-integration-tutorial.html"
- "Building an ExecuTorch iOS Demo App": "https://pytorch.org/executorch/stable/demo-apps-ios.html"
- "Building an ExecuTorch Android Demo App": "https://pytorch.org/executorch/stable/demo-apps-android.html"
- "Lowering a Model as a Delegate": "https://pytorch.org/executorch/stable/examples-end-to-end-to-lower-model-to-delegate.html"
- "Recommendation Systems":
- "Introduction to TorchRec": "2.0/tutorials/intermediate/torchrec_tutorial.md"
- "Exploring TorchRec sharding": "2.0/tutorials/advanced/sharding.md"
- "Multimodality":
- "TorchMultimodal Tutorial: Finetuning FLAVA": "2.0/tutorials/beginner/flava_finetuning_tutorial.md"
- "中文文档":
- "介绍" : "2.0/docs/README.md"
- "Pytorch" : "https://pytorch.org/docs/stable/index.html"
- "Torchaudio" : "https://pytorch.org/audio/stable/index.html"
- "TorchText" : "https://pytorch.org/text/stable/index.html"
- "TorchVision" : "https://pytorch.org/vision/stable/index.html"
- "TorchArrow" : "https://pytorch.org/torcharrow/beta/index.html"
- "TorchRec" : "https://pytorch.org/torchrec/"
- "TorchServe" : "https://pytorch.org/serve/"
- "TorchX" : "https://pytorch.org/torchx/latest/"
- "PyTorch on XLA Devices": "https://pytorch.org/xla/release/2.3/index.html"
- "PyTorch 1.7 中文文档": "https://pytorch1x.apachecn.org"
- "PyTorch 1.4 中文文档 & 教程": "https://pytorch1x.apachecn.org"
- "PyTorch 1.0 中文文档 & 教程": "https://pytorch1x.apachecn.org"
- "PyTorch 0.4 中文文档": "https://pytorch0x.apachecn.org"
- "PyTorch 0.3 中文文档 & 教程": "https://pytorch0x.apachecn.org"
- "PyTorch 0.2 中文文档": "https://pytorch0x.apachecn.org"
- "贡献指南": "contrib.md"
- "关于我们": "https://www.apachecn.org/about"
- "加入我们": "https://www.apachecn.org/join"
- "中文资源合集": "https://docs.apachecn.org"