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+.. PyTorch documentation master file, created by
+   sphinx-quickstart on Fri Dec 23 13:31:47 2016.
+   You can adapt this file completely to your liking, but it should at least
+   contain the root `toctree` directive.
+
+:github_url: https://github.com/pytorch/pytorch
+
+PyTorch documentation
+===================================
+
+PyTorch is an optimized tensor library for deep learning using GPUs and CPUs.
+
+Features described in this documentation are classified by release status:
+
+  *Stable:*  These features will be maintained long-term and there should generally
+  be no major performance limitations or gaps in documentation.
+  We also expect to maintain backwards compatibility (although
+  breaking changes can happen and notice will be given one release ahead
+  of time).
+
+  *Beta:*  These features are tagged as Beta because the API may change based on
+  user feedback, because the performance needs to improve, or because
+  coverage across operators is not yet complete. For Beta features, we are
+  committing to seeing the feature through to the Stable classification.
+  We are not, however, committing to backwards compatibility.
+
+  *Prototype:*  These features are typically not available as part of
+  binary distributions like PyPI or Conda, except sometimes behind run-time
+  flags, and are at an early stage for feedback and testing.
+
+.. toctree::
+   :glob:
+   :maxdepth: 1
+   :caption: Community
+
+   community/*
+
+.. toctree::
+   :glob:
+   :maxdepth: 1
+   :caption: Developer Notes
+
+   notes/*
+
+.. toctree::
+   :glob:
+   :maxdepth: 1
+   :caption: torch.compile
+
+   compile/index
+   compile/get-started
+   compile/troubleshooting
+   compile/faq
+   compile/technical-overview
+   compile/guards-overview
+   compile/custom-backends
+   compile/fine_grained_apis
+   compile/profiling_torch_compile
+   compile/inductor_profiling
+   compile/deep-dive
+   compile/cudagraph_trees
+   compile/performance-dashboard
+   compile/torchfunc-and-torchcompile
+   ir
+   compile/dynamic-shapes
+   compile/fake-tensor
+   logging
+   compile/transformations
+
+.. toctree::
+   :maxdepth: 1
+   :caption: Language Bindings
+
+   cpp_index
+   Javadoc <https://pytorch.org/javadoc/>
+   torch::deploy <deploy>
+
+.. toctree::
+   :glob:
+   :maxdepth: 2
+   :caption: Python API
+
+   torch
+   nn
+   nn.functional
+   tensors
+   tensor_attributes
+   tensor_view
+   torch.amp <amp>
+   torch.autograd <autograd>
+   torch.library <library>
+   cuda
+   mps
+   torch.backends <backends>
+   torch.distributed <distributed>
+   torch.distributed.algorithms.join <distributed.algorithms.join>
+   torch.distributed.elastic <distributed.elastic>
+   torch.distributed.fsdp <fsdp>
+   torch.distributed.optim <distributed.optim>
+   torch.distributed.tensor.parallel <distributed.tensor.parallel>
+   torch.distributed.checkpoint <distributed.checkpoint>
+   torch.distributions <distributions>
+   torch.compiler <compiler>
+   torch.fft <fft>
+   torch.func <func>
+   futures
+   fx
+   torch.hub <hub>
+   torch.jit <jit>
+   torch.linalg <linalg>
+   torch.monitor <monitor>
+   torch.signal <signal>
+   torch.special <special>
+   torch.overrides
+   torch.package <package>
+   profiler
+   nn.init
+   onnx
+   onnx_diagnostics
+   optim
+   complex_numbers
+   ddp_comm_hooks
+   pipeline
+   quantization
+   rpc
+   torch.random <random>
+   masked
+   torch.nested <nested>
+   sparse
+   storage
+   torch.testing <testing>
+   torch.utils.benchmark <benchmark_utils>
+   torch.utils.bottleneck <bottleneck>
+   torch.utils.checkpoint <checkpoint>
+   torch.utils.cpp_extension <cpp_extension>
+   torch.utils.data <data>
+   torch.utils.jit <jit_utils>
+   torch.utils.dlpack <dlpack>
+   torch.utils.mobile_optimizer <mobile_optimizer>
+   torch.utils.model_zoo <model_zoo>
+   torch.utils.tensorboard <tensorboard>
+   type_info
+   named_tensor
+   name_inference
+   torch.__config__ <config_mod>
+   logging
+
+.. toctree::
+   :maxdepth: 1
+   :caption: Libraries
+
+   torchaudio <https://pytorch.org/audio/stable>
+   TorchData <https://pytorch.org/data>
+   TorchRec <https://pytorch.org/torchrec>
+   TorchServe <https://pytorch.org/serve>
+   torchtext <https://pytorch.org/text/stable>
+   torchvision <https://pytorch.org/vision/stable>
+   PyTorch on XLA Devices <https://pytorch.org/xla/>
+
+Indices and tables
+==================
+
+* :ref:`genindex`
+* :ref:`modindex`
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