forked from apachecn/pytorch-doc-zh
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathmkdocs.yml
321 lines (316 loc) · 21.3 KB
/
mkdocs.yml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
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
theme:
name: material
custom_dir: themes_material
logo: https://data.apachecn.org/img/logo/logo_green.png
locale: zh_CN
analytics:
gtag: G-8DP4GX97XY
features:
- content.code.copy
- content.action.edit
- content.action.view
- navigation.footer
icon:
admonition:
note: octicons/tag-16
abstract: octicons/checklist-16
info: octicons/info-16
tip: octicons/squirrel-16
success: octicons/check-16
question: octicons/question-16
warning: octicons/alert-16
failure: octicons/x-circle-16
danger: octicons/zap-16
bug: octicons/bug-16
example: octicons/beaker-16
quote: octicons/quote-16
markdown_extensions:
- pymdownx.arithmatex:
generic: true
- pymdownx.highlight:
anchor_linenums: true
- pymdownx.superfences
- pymdownx.details
- admonition
extra_javascript:
# - javascripts/mathjax.js
- https://polyfill.io/v3/polyfill.min.js?features=es6
- https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js
nav:
- "PyTorch 中文文档 & 教程": "index.md"
- "PyTorch 新特性":
- "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"
- "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":
- "Language Modeling with nn.Transformer and torchtext": "2.0/tutorials/beginner/transformer_tutorial.md"
- "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"
- "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"
- "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"
- "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"
- "Python API":
- "torch": "2.0/docs/torch.md"
- "torch.nn": "2.0/docs/nn.md"
- "torch.nn.functional": "2.0/docs/nn.functional.md"
- "torch.Tensor": "2.0/docs/tensors.md"
- "Tensor Attributes": "2.0/docs/tensor_attributes.md"
- "Tensor Views": "2.0/docs/tensor_view.md"
- "torch.amp": "2.0/docs/amp.md"
- "torch.autograd": "2.0/docs/autograd.md"
- "torch.library": "2.0/docs/library.md"
- "torch.cpu": "2.0/docs/cpu.md"
- "torch.cuda": "2.0/docs/cuda.md"
- "Understanding CUDA Memory Usage": "2.0/docs/torch_cuda_memory.md"
- "Generating a Snapshot": "2.0/docs/torch_cuda_memory#generating-a-snapshot.md"
- "Using the visualizer": "2.0/docs/torch_cuda_memory#using-the-visualizer.md"
- "Snapshot API Reference": "2.0/docs/torch_cuda_memory#snapshot-api-reference.md"
- "torch.mps": "2.0/docs/mps.md"
- "torch.backends": "2.0/docs/backends.md"
- "torch.export": "2.0/docs/export.md"
- "torch.distributed": "2.0/docs/distributed.md"
- "torch.distributed.algorithms.join": "2.0/docs/distributed.algorithms.join.md"
- "torch.distributed.elastic": "2.0/docs/distributed.elastic.md"
- "torch.distributed.fsdp": "2.0/docs/fsdp.md"
- "torch.distributed.optim": "2.0/docs/distributed.optim.md"
- "torch.distributed.tensor.parallel": "2.0/docs/distributed.tensor.parallel.md"
- "torch.distributed.checkpoint": "2.0/docs/distributed.checkpoint.md"
- "torch.distributions": "2.0/docs/distributions.md"
- "torch.compiler": "2.0/docs/torch.compiler.md"
- "torch.fft": "2.0/docs/fft.md"
- "torch.func": "2.0/docs/func.md"
- "torch.futures": "2.0/docs/futures.md"
- "torch.fx": "2.0/docs/fx.md"
- "torch.hub": "2.0/docs/hub.md"
- "torch.jit": "2.0/docs/jit.md"
- "torch.linalg": "2.0/docs/linalg.md"
- "torch.monitor": "2.0/docs/monitor.md"
- "torch.signal": "2.0/docs/signal.md"
- "torch.special": "2.0/docs/special.md"
- "torch.overrides": "2.0/docs/torch.overrides.md"
- "torch.package": "2.0/docs/package.md"
- "torch.profiler": "2.0/docs/profiler.md"
- "torch.nn.init": "2.0/docs/nn.init.md"
- "torch.onnx": "2.0/docs/onnx.md"
- "torch.optim": "2.0/docs/optim.md"
- "Complex Numbers": "2.0/docs/complex_numbers.md"
- "DDP Communication Hooks": "2.0/docs/ddp_comm_hooks.md"
- "Pipeline Parallelism": "2.0/docs/pipeline.md"
- "Quantization": "2.0/docs/quantization.md"
- "Distributed RPC Framework": "2.0/docs/rpc.md"
- "torch.random": "2.0/docs/random.md"
- "torch.masked": "2.0/docs/masked.md"
- "torch.nested": "2.0/docs/nested.md"
- "torch.sparse": "2.0/docs/sparse.md"
- "torch.Storage": "2.0/docs/storage.md"
- "torch.testing": "2.0/docs/testing.md"
- "torch.utils": "2.0/docs/utils.md"
- "torch.utils.benchmark": "2.0/docs/benchmark_utils.md"
- "torch.utils.bottleneck": "2.0/docs/bottleneck.md"
- "torch.utils.checkpoint": "2.0/docs/checkpoint.md"
- "torch.utils.cpp_extension": "2.0/docs/cpp_extension.md"
- "torch.utils.data": "2.0/docs/data.md"
- "torch.utils.jit": "2.0/docs/jit_utils.md"
- "torch.utils.dlpack": "2.0/docs/dlpack.md"
- "torch.utils.mobile_optimizer": "2.0/docs/mobile_optimizer.md"
- "torch.utils.model_zoo": "2.0/docs/model_zoo.md"
- "torch.utils.tensorboard": "2.0/docs/tensorboard.md"
- "Type Info": "2.0/docs/type_info.md"
- "Named Tensors": "2.0/docs/named_tensor.md"
- "Named Tensors operator coverage": "2.0/docs/name_inference.md"
- "torch.__config__": "2.0/docs/config_mod.md"
- "torch._logging": "2.0/docs/logging.md"
- "Libraries":
- "torchaudio": "2.0/docs/https://pytorch.org/audio/stable"
- "TorchData": "2.0/docs/https://pytorch.org/data"
- "TorchRec": "2.0/docs/https://pytorch.org/torchrec"
- "TorchServe": "2.0/docs/https://pytorch.org/serve"
- "torchtext": "2.0/docs/https://pytorch.org/text/stable"
- "torchvision": "2.0/docs/https://pytorch.org/vision/stable"
- "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"