| github_url: | https://github.com/pytorch/pytorch |
|---|
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.
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:caption: Notes
notes/*
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:maxdepth: 1
:caption: Language Bindings
cpp_index
Javadoc <https://pytorch.org/javadoc/>
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:maxdepth: 1
:caption: Python API
torch
nn
nn.functional
tensors
tensor_attributes
tensor_view
torch.autograd <autograd>
cuda
torch.cuda.amp <amp>
torch.backends <backends>
torch.distributed <distributed>
torch.distributed.elastic <distributed.elastic>
torch.distributed.optim <distributed.optim>
torch.distributions <distributions>
torch.fft <fft>
futures
fx
torch.hub <hub>
torch.jit <jit>
torch.linalg <linalg>
torch.special <special>
torch.overrides
torch.package <package>
profiler
nn.init
onnx
optim
complex_numbers
ddp_comm_hooks
pipeline
quantization
rpc
torch.random <random>
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.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__>
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:caption: Libraries
torchaudio <https://pytorch.org/audio/stable>
torchtext <https://pytorch.org/text/stable>
torchvision <https://pytorch.org/vision/stable>
TorchServe <https://pytorch.org/serve>
PyTorch on XLA Devices <http://pytorch.org/xla/>
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:caption: Community
community/*