2024-02-25 21:10:22

docs/2.2/SUMMARY.md

 +   [Pytorch 2.2 中文教程和文档](README.md)
 +   [PyTorch 2.2 中文文档](doc22_000.md)
     +   [社区](doc22_001.md)
-    +   [PyTorch 治理 | 构建 + CI](doc22_002.md)
-    +   [PyTorch 贡献指南](doc22_003.md)
-    +   [PyTorch 设计哲学](doc22_004.md)
-    +   [PyTorch 治理 | 机制](doc22_005.md)
-    +   [PyTorch 治理 | 维护者](doc22_006.md)
+        +   [PyTorch 治理 | 构建 + CI](doc22_002.md)
+        +   [PyTorch 贡献指南](doc22_003.md)
+        +   [PyTorch 设计哲学](doc22_004.md)
+        +   [PyTorch 治理 | 机制](doc22_005.md)
+        +   [PyTorch 治理 | 维护者](doc22_006.md)
     +   [开发者笔记](doc22_007.md)
-    +   [CUDA 自动混合精度示例](doc22_008.md)
-    +   [自动求导机制](doc22_009.md)
-    +   [广播语义](doc22_010.md)
-    +   [CPU 线程和 TorchScript 推理](doc22_011.md)
-    +   [CUDA 语义](doc22_012.md)
-    +   [分布式数据并行](doc22_013.md)
-    +   [扩展 PyTorch](doc22_014.md)
-    +   [使用 autograd.Function 扩展 torch.func](doc22_015.md)
-    +   [常见问题](doc22_016.md)
-    +   [Gradcheck 机制](doc22_017.md)
-    +   [HIP（ROCm）语义](doc22_018.md)
-    +   [大规模部署的功能](doc22_019.md)
-    +   [模块](doc22_020.md)
-    +   [MPS 后端](doc22_021.md)
-    +   [多进程最佳实践](doc22_022.md)
-    +   [数值精度](doc22_023.md)
-    +   [可复制性](doc22_024.md)
-    +   [序列化语义](doc22_025.md)
-    +   [Windows 常见问题](doc22_026.md)
+        +   [CUDA 自动混合精度示例](doc22_008.md)
+        +   [自动求导机制](doc22_009.md)
+        +   [广播语义](doc22_010.md)
+        +   [CPU 线程和 TorchScript 推理](doc22_011.md)
+        +   [CUDA 语义](doc22_012.md)
+        +   [分布式数据并行](doc22_013.md)
+        +   [扩展 PyTorch](doc22_014.md)
+        +   [使用 autograd.Function 扩展 torch.func](doc22_015.md)
+        +   [常见问题](doc22_016.md)
+        +   [Gradcheck 机制](doc22_017.md)
+        +   [HIP（ROCm）语义](doc22_018.md)
+        +   [大规模部署的功能](doc22_019.md)
+        +   [模块](doc22_020.md)
+        +   [MPS 后端](doc22_021.md)
+        +   [多进程最佳实践](doc22_022.md)
+        +   [数值精度](doc22_023.md)
+        +   [可复制性](doc22_024.md)
+        +   [序列化语义](doc22_025.md)
+        +   [Windows 常见问题](doc22_026.md)
     +   [语言绑定](doc22_027.md)
-    +   [C++](doc22_028.md)
-    +   [torch::deploy 已经迁移到 pytorch/multipy](doc22_029.md)
+        +   [C++](doc22_028.md)
+        +   [torch::deploy 已经迁移到 pytorch/multipy](doc22_029.md)
     +   [Python API](doc22_030.md)
-    +   [torch](doc22_031.md)
-    +   [torch.nn](doc22_032.md)
-    +   [torch.nn.functional](doc22_033.md)
-    +   [torch.Tensor](doc22_034.md)
-    +   [张量属性](doc22_035.md)
-    +   [Tensor Views](doc22_036.md)
-    +   [自动混合精度包 - torch.amp](doc22_037.md)
-    +   [自动微分包 - torch.autograd](doc22_038.md)
-    +   [torch.library](doc22_039.md)
-    +   [torch.cpu](doc22_040.md)
-    +   [torch.cuda](doc22_041.md)
-    +   [了解 CUDA 内存使用情况](doc22_042.md)
-    +   [torch.mps](doc22_043.md)
-    +   [torch.backends](doc22_044.md)
-    +   [torch.export](doc22_045.md)
-    +   [分布式通信包 - torch.distributed](doc22_046.md)
-    +   [通用加入上下文管理器](doc22_047.md)
-    +   [Torch 分布式弹性](doc22_048.md)
-    +   [FullyShardedDataParallel](doc22_049.md)
-    +   [分布式优化器](doc22_050.md)
-    +   [张量并行 - torch.distributed.tensor.parallel](doc22_051.md)
-    +   [分布式检查点 - torch.distributed.checkpoint](doc22_052.md)
-    +   [概率分布 - torch.distributions](doc22_053.md)
-    +   [torch.compiler](doc22_054.md)
-    +   [torch.fft](doc22_055.md)
-    +   [torch.func](doc22_056.md)
-    +   [torch.futures](doc22_057.md)
-    +   [torch.fx](doc22_058.md)
-    +   [torch.hub](doc22_059.md)
-    +   [TorchScript](doc22_060.md)
-    +   [torch.linalg](doc22_061.md)
-    +   [torch.monitor](doc22_062.md)
-    +   [torch.signal](doc22_063.md)
-    +   [torch.special](doc22_064.md)
-    +   [torch.overrides](doc22_065.md)
-    +   [torch.package](doc22_066.md)
-    +   [torch.profiler](doc22_067.md)
-    +   [torch.nn.init](doc22_068.md)
-    +   [torch.onnx](doc22_069.md)
-    +   [torch.optim](doc22_070.md)
-    +   [复数](doc22_071.md)
-    +   [DDP 通信钩子](doc22_072.md)
-    +   [管道并行](doc22_073.md)
-    +   [量化](doc22_074.md)
-    +   [分布式 RPC 框架](doc22_075.md)
-    +   [torch.random](doc22_076.md)
-    +   [torch.masked](doc22_077.md)
-    +   [torch.nested](doc22_078.md)
-    +   [torch.sparse](doc22_079.md)
-    +   [torch.Storage](doc22_080.md)
-    +   [torch.testing](doc22_081.md)
-    +   [torch.utils](doc22_082.md)
-    +   [基准工具 - torch.utils.benchmark](doc22_083.md)
-    +   [torch.utils.bottleneck](doc22_084.md)
-    +   [torch.utils.checkpoint](doc22_085.md)
-    +   [torch.utils.cpp_extension](doc22_086.md)
-    +   [torch.utils.data](doc22_087.md)
-    +   [torch.utils.deterministic](doc22_088.md)
-    +   [JIT Utils - torch.utils.jit](doc22_089.md)
-    +   [torch.utils.dlpack](doc22_090.md)
-    +   [torch.utils.mobile_optimizer](doc22_091.md)
-    +   [torch.utils.model_zoo](doc22_092.md)
-    +   [torch.utils.tensorboard](doc22_093.md)
-    +   [类型信息](doc22_094.md)
-    +   [命名张量](doc22_095.md)
-    +   [具名张量操作覆盖范围](doc22_096.md)
-    +   [torch.__config__](doc22_097.md)
-    +   [torch._logging](doc22_098.md)
+        +   [torch](doc22_031.md)
+        +   [torch.nn](doc22_032.md)
+        +   [torch.nn.functional](doc22_033.md)
+        +   [torch.Tensor](doc22_034.md)
+        +   [张量属性](doc22_035.md)
+        +   [Tensor Views](doc22_036.md)
+        +   [自动混合精度包 - torch.amp](doc22_037.md)
+        +   [自动微分包 - torch.autograd](doc22_038.md)
+        +   [torch.library](doc22_039.md)
+        +   [torch.cpu](doc22_040.md)
+        +   [torch.cuda](doc22_041.md)
+        +   [了解 CUDA 内存使用情况](doc22_042.md)
+        +   [torch.mps](doc22_043.md)
+        +   [torch.backends](doc22_044.md)
+        +   [torch.export](doc22_045.md)
+        +   [分布式通信包 - torch.distributed](doc22_046.md)
+        +   [通用加入上下文管理器](doc22_047.md)
+        +   [Torch 分布式弹性](doc22_048.md)
+        +   [FullyShardedDataParallel](doc22_049.md)
+        +   [分布式优化器](doc22_050.md)
+        +   [张量并行 - torch.distributed.tensor.parallel](doc22_051.md)
+        +   [分布式检查点 - torch.distributed.checkpoint](doc22_052.md)
+        +   [概率分布 - torch.distributions](doc22_053.md)
+        +   [torch.compiler](doc22_054.md)
+        +   [torch.fft](doc22_055.md)
+        +   [torch.func](doc22_056.md)
+        +   [torch.futures](doc22_057.md)
+        +   [torch.fx](doc22_058.md)
+        +   [torch.hub](doc22_059.md)
+        +   [TorchScript](doc22_060.md)
+        +   [torch.linalg](doc22_061.md)
+        +   [torch.monitor](doc22_062.md)
+        +   [torch.signal](doc22_063.md)
+        +   [torch.special](doc22_064.md)
+        +   [torch.overrides](doc22_065.md)
+        +   [torch.package](doc22_066.md)
+        +   [torch.profiler](doc22_067.md)
+        +   [torch.nn.init](doc22_068.md)
+        +   [torch.onnx](doc22_069.md)
+        +   [torch.optim](doc22_070.md)
+        +   [复数](doc22_071.md)
+        +   [DDP 通信钩子](doc22_072.md)
+        +   [管道并行](doc22_073.md)
+        +   [量化](doc22_074.md)
+        +   [分布式 RPC 框架](doc22_075.md)
+        +   [torch.random](doc22_076.md)
+        +   [torch.masked](doc22_077.md)
+        +   [torch.nested](doc22_078.md)
+        +   [torch.sparse](doc22_079.md)
+        +   [torch.Storage](doc22_080.md)
+        +   [torch.testing](doc22_081.md)
+        +   [torch.utils](doc22_082.md)
+        +   [基准工具 - torch.utils.benchmark](doc22_083.md)
+        +   [torch.utils.bottleneck](doc22_084.md)
+        +   [torch.utils.checkpoint](doc22_085.md)
+        +   [torch.utils.cpp_extension](doc22_086.md)
+        +   [torch.utils.data](doc22_087.md)
+        +   [torch.utils.deterministic](doc22_088.md)
+        +   [JIT Utils - torch.utils.jit](doc22_089.md)
+        +   [torch.utils.dlpack](doc22_090.md)
+        +   [torch.utils.mobile_optimizer](doc22_091.md)
+        +   [torch.utils.model_zoo](doc22_092.md)
+        +   [torch.utils.tensorboard](doc22_093.md)
+        +   [类型信息](doc22_094.md)
+        +   [命名张量](doc22_095.md)
+        +   [具名张量操作覆盖范围](doc22_096.md)
+        +   [torch.__config__](doc22_097.md)
+        +   [torch._logging](doc22_098.md)
 +   [PyTorch 2.2 中文教程](tut22_000.md)
 +   [PyTorch 秘籍](tut22_001.md)
     +   [PyTorch 秘籍](tut22_002.md)