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e7da21806fbc96d47ac03ea8f6507deb0ab48481
pytorch/docs/source/pytorch-api.md
Svetlana Karslioglu cd7bc60e11 Migrate to new theme (#149331) 
- Migrate pytorch docs, cpp docs and functorch docs to the pytorch_sphinx_theme2
- Migrate index.rst to markdown and restructure to use high-level horizontal bar sections Python API, Developer Notes
- Added python-api.md which becomes the main container for the API docs. This file will be used to add all api references in the toctree. It would be great to have lint for this file: https://github.com/pytorch/pytorch/issues/150718
- Enabled mermaid sphinx extension and opengraph sphinx extension

Pull Request resolved: https://github.com/pytorch/pytorch/pull/149331
Approved by: https://github.com/malfet, https://github.com/atalman, https://github.com/albanD
2025-04-16 21:35:19 +00:00

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(pytorch_api)=

Python API

:glob:
:maxdepth: 1

torch
nn
nn.functional
tensors
tensor_attributes
tensor_view
torch.amp <amp>
torch.autograd <autograd>
torch.library <library>
accelerator
cpu
cuda
torch.cuda.memory <torch_cuda_memory>
mps
xpu
mtia
mtia.memory
meta
torch.backends <backends>
torch.export <export>
torch.distributed <distributed>
torch.distributed.tensor <distributed.tensor>
torch.distributed.algorithms.join <distributed.algorithms.join>
torch.distributed.elastic <distributed.elastic>
torch.distributed.fsdp <fsdp>
torch.distributed.fsdp.fully_shard <distributed.fsdp.fully_shard>
torch.distributed.tensor.parallel <distributed.tensor.parallel>
torch.distributed.optim <distributed.optim>
torch.distributed.pipelining <distributed.pipelining>
torch.distributed.checkpoint <distributed.checkpoint>
torch.distributions <distributions>
torch.compiler <torch.compiler>
torch.fft <fft>
torch.func <func>
futures
fx
fx.experimental
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
nn.attention
onnx
optim
complex_numbers
ddp_comm_hooks
quantization
rpc
torch.random <random>
masked
torch.nested <nested>
size
sparse
storage
torch.testing <testing>
torch.utils <utils>
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.deterministic <deterministic>
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>
torch.utils.module_tracker <module_tracker>
type_info
named_tensor
name_inference
torch.__config__ <config_mod>
torch.__future__ <future_mod>
logging
torch_environment_variables