:description: TorchRec API Reference - Comprehensive documentation for building scalable recommendation systems with PyTorch, including sparse features, embeddings, distributed training, and model parallelism.
:keywords: TorchRec, PyTorch, recommendation systems, embeddings, sparse features, model parallelism, distributed training, deep learning, RecSys, API reference


API reference
=============

TorchRec provides a comprehensive set of APIs for building and deploying recommendation systems at scale.
This section covers the core components including data types for sparse and dense features,
modular building blocks for recommendation models, distributed training with model parallelism,
and optimized inference capabilities.

.. toctree::
   :maxdepth: 2

   datatypes-api-reference
   modules-api-reference
   planner-api-reference
   model-parallel-api-reference
   inference-api-reference