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site_name: 【布客】PyTorch 中文翻译
site_url: https://pytorch.apachecn.org
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- "See All Recipes": "2.0/tutorials/recipes/recipes_index.md"
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- "Quickstart": "2.0/tutorials/beginner/basics/quickstart_tutorial.md"
- "Tensors": "2.0/tutorials/beginner/basics/tensorqs_tutorial.md"
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- "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"
- "Audio":
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- "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"
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- "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"
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- "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"
- "torch.compile Tutorial": "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"
- "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"
- "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 Pipeline Parallelism": "2.0/tutorials/intermediate/pipeline_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"
- "Mobile":
- "Image Segmentation DeepLabV3 on iOS": "2.0/tutorials/beginner/deeplabv3_on_ios.md"
- "Image Segmentation DeepLabV3 on Android": "2.0/tutorials/beginner/deeplabv3_on_android.md"
- "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"
- "Community":
- "PyTorch Governance | Build + CI": "2.0/docs/community/build_ci_governance.md"
- "PyTorch Contribution Guide": "2.0/docs/community/contribution_guide.md"
- "PyTorch Design Philosophy": "2.0/docs/community/design.md"
- "PyTorch Governance | Mechanics": "2.0/docs/community/governance.md"
- "PyTorch Governance | Maintainers": "2.0/docs/community/persons_of_interest.md"
- "Developer Notes":
- "CUDA Automatic Mixed Precision examples": "2.0/docs/notes/amp_examples.md"
- "Autograd mechanics": "2.0/docs/notes/autograd.md"
- "Broadcasting semantics": "2.0/docs/notes/broadcasting.md"
- "CPU threading and TorchScript inference": "2.0/docs/notes/cpu_threading_torchscript_inference.md"
- "CUDA semantics": "2.0/docs/notes/cuda.md"
- "Distributed Data Parallel": "2.0/docs/notes/ddp.md"
- "Extending PyTorch": "2.0/docs/notes/extending.md"
- "Extending torch.func with autograd.Function": "2.0/docs/notes/extending.func.md"
- "Frequently Asked Questions": "2.0/docs/notes/faq.md"
- "Gradcheck mechanics": "2.0/docs/notes/gradcheck.md"
- "HIP (ROCm) semantics": "2.0/docs/notes/hip.md"
- "Features for large-scale deployments": "2.0/docs/notes/large_scale_deployments.md"
- "Modules": "2.0/docs/notes/modules.md"
- "MPS backend": "2.0/docs/notes/mps.md"
- "Multiprocessing best practices": "2.0/docs/notes/multiprocessing.md"
- "Numerical accuracy": "2.0/docs/notes/numerical_accuracy.md"
- "Reproducibility": "2.0/docs/notes/randomness.md"
- "Serialization semantics": "2.0/docs/notes/serialization.md"
- "Windows FAQ": "2.0/docs/notes/windows.md"
- "Language Bindings":
- "C++": "2.0/docs/cpp_index.md"
- "Javadoc": "2.0/docs/https://pytorch.org/javadoc"
- "torch::deploy": "2.0/docs/deploy.md"
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- "torch": "2.0/docs/torch.md"
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- "torch.nn.functional": "2.0/docs/nn.functional.md"
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- "PyTorch on XLA Devices": "2.0/docs/https://pytorch.org/xla"
- "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"