mirror of
https://github.com/pytorch/pytorch.git
synced 2025-10-21 05:34:18 +08:00
05dfd312cf
Summary: - cpp_index.rst - fx.md - jit_builtin_functions.rst - jit_python_reference.md - jit_unsupported.md cpu_threading large_scale_deployment Test Plan: CI Rollback Plan: Differential Revision: D78309320 Pull Request resolved: https://github.com/pytorch/pytorch/pull/158315 Approved by: https://github.com/svekars, https://github.com/zhxchen17
30 lines
2.1 KiB
ReStructuredText
30 lines
2.1 KiB
ReStructuredText
:orphan:
|
||
|
||
C++
|
||
===================================
|
||
.. Note::
|
||
If you are looking for the PyTorch C++ API docs, directly go `here <https://pytorch.org/cppdocs/>`__.
|
||
|
||
PyTorch provides several features for working with C++, and it’s best to choose from them based on your needs. At a high level, the following support is available:
|
||
|
||
Tensor and Autograd in C++
|
||
---------------------------
|
||
Most of the tensor and autograd operations in PyTorch Python API are also available in the C++ API. These include:
|
||
|
||
* ``torch::Tensor`` methods such as ``add`` / ``reshape`` / ``clone``. For the full list of methods available, please see: https://pytorch.org/cppdocs/api/classat_1_1_tensor.html
|
||
* C++ tensor indexing API that looks and behaves the same as the Python API. For details on its usage, please see: https://pytorch.org/cppdocs/notes/tensor_indexing.html
|
||
* The tensor autograd APIs and the ``torch::autograd`` package that are crucial for building dynamic neural networks in C++ frontend. For more details, please see: https://pytorch.org/tutorials/advanced/cpp_autograd.html
|
||
|
||
Authoring Models in C++
|
||
------------------------
|
||
We provide the full capability of authoring and training a neural net model purely in C++, with familiar components such as ``torch::nn`` / ``torch::nn::functional`` / ``torch::optim`` that closely resemble the Python API.
|
||
|
||
* For an overview of the PyTorch C++ model authoring and training API, please see: https://pytorch.org/cppdocs/frontend.html
|
||
* For a detailed tutorial on how to use the API, please see: https://pytorch.org/tutorials/advanced/cpp_frontend.html
|
||
* Docs for components such as ``torch::nn`` / ``torch::nn::functional`` / ``torch::optim`` can be found at: https://pytorch.org/cppdocs/api/library_root.html
|
||
|
||
|
||
Packaging for C++
|
||
------------------
|
||
For guidance on how to install and link with libtorch (the library that contains all of the above C++ APIs), please see: https://pytorch.org/cppdocs/installing.html. Note that on Linux there are two types of libtorch binaries provided: one compiled with GCC pre-cxx11 ABI and the other with GCC cxx11 ABI, and you should make the selection based on the GCC ABI your system is using.
|