1.. PyTorch documentation master file, created by 2 sphinx-quickstart on Fri Dec 23 13:31:47 2016. 3 You can adapt this file completely to your liking, but it should at least 4 contain the root `toctree` directive. 5 6:github_url: https://github.com/pytorch/pytorch 7 8PyTorch documentation 9=================================== 10 11PyTorch is an optimized tensor library for deep learning using GPUs and CPUs. 12 13Features described in this documentation are classified by release status: 14 15 *Stable:* These features will be maintained long-term and there should generally 16 be no major performance limitations or gaps in documentation. 17 We also expect to maintain backwards compatibility (although 18 breaking changes can happen and notice will be given one release ahead 19 of time). 20 21 *Beta:* These features are tagged as Beta because the API may change based on 22 user feedback, because the performance needs to improve, or because 23 coverage across operators is not yet complete. For Beta features, we are 24 committing to seeing the feature through to the Stable classification. 25 We are not, however, committing to backwards compatibility. 26 27 *Prototype:* These features are typically not available as part of 28 binary distributions like PyPI or Conda, except sometimes behind run-time 29 flags, and are at an early stage for feedback and testing. 30 31.. toctree:: 32 :glob: 33 :maxdepth: 1 34 :caption: Community 35 36 community/* 37 38.. toctree:: 39 :glob: 40 :maxdepth: 1 41 :caption: Developer Notes 42 43 notes/* 44 45.. toctree:: 46 :maxdepth: 1 47 :caption: Language Bindings 48 49 cpp_index 50 Javadoc <https://pytorch.org/javadoc/> 51 torch::deploy <deploy> 52 53.. toctree:: 54 :glob: 55 :maxdepth: 2 56 :caption: Python API 57 58 torch 59 nn 60 nn.functional 61 tensors 62 tensor_attributes 63 tensor_view 64 torch.amp <amp> 65 torch.autograd <autograd> 66 torch.library <library> 67 cpu 68 cuda 69 torch.cuda.memory <torch_cuda_memory> 70 mps 71 xpu 72 mtia 73 meta 74 torch.backends <backends> 75 torch.export <export> 76 torch.distributed <distributed> 77 torch.distributed.tensor <distributed.tensor> 78 torch.distributed.algorithms.join <distributed.algorithms.join> 79 torch.distributed.elastic <distributed.elastic> 80 torch.distributed.fsdp <fsdp> 81 torch.distributed.tensor.parallel <distributed.tensor.parallel> 82 torch.distributed.optim <distributed.optim> 83 torch.distributed.pipelining <distributed.pipelining> 84 torch.distributed.checkpoint <distributed.checkpoint> 85 torch.distributions <distributions> 86 torch.compiler <torch.compiler> 87 torch.fft <fft> 88 torch.func <func> 89 futures 90 fx 91 fx.experimental 92 torch.hub <hub> 93 torch.jit <jit> 94 torch.linalg <linalg> 95 torch.monitor <monitor> 96 torch.signal <signal> 97 torch.special <special> 98 torch.overrides 99 torch.package <package> 100 profiler 101 nn.init 102 nn.attention 103 onnx 104 optim 105 complex_numbers 106 ddp_comm_hooks 107 quantization 108 rpc 109 torch.random <random> 110 masked 111 torch.nested <nested> 112 size 113 sparse 114 storage 115 torch.testing <testing> 116 torch.utils <utils> 117 torch.utils.benchmark <benchmark_utils> 118 torch.utils.bottleneck <bottleneck> 119 torch.utils.checkpoint <checkpoint> 120 torch.utils.cpp_extension <cpp_extension> 121 torch.utils.data <data> 122 torch.utils.deterministic <deterministic> 123 torch.utils.jit <jit_utils> 124 torch.utils.dlpack <dlpack> 125 torch.utils.mobile_optimizer <mobile_optimizer> 126 torch.utils.model_zoo <model_zoo> 127 torch.utils.tensorboard <tensorboard> 128 torch.utils.module_tracker <module_tracker> 129 type_info 130 named_tensor 131 name_inference 132 torch.__config__ <config_mod> 133 torch.__future__ <future_mod> 134 logging 135 torch_environment_variables 136 137.. toctree:: 138 :maxdepth: 1 139 :caption: Libraries 140 141 torchaudio <https://pytorch.org/audio/stable> 142 TorchData <https://pytorch.org/data> 143 TorchRec <https://pytorch.org/torchrec> 144 TorchServe <https://pytorch.org/serve> 145 torchtext <https://pytorch.org/text/stable> 146 torchvision <https://pytorch.org/vision/stable> 147 PyTorch on XLA Devices <https://pytorch.org/xla/> 148 149Indices and tables 150================== 151 152* :ref:`genindex` 153* :ref:`modindex` 154