PyTorch官方教程大幅更新

TUTORIALS HOME PAGE UPDATE

PYTORCH RECIPES

Recipes are new bite-sized, actionable examples designed to teach researchers and developers how to use specific PyTorch features. Some notable new recipes include:

• Loading Data in PyTorch

• Model Interpretability Using Captum

• How to Use TensorBoard

View the full recipes here.

LEARNING PYTORCH

DEPLOYING MODELS IN PRODUCTION

This section includes tutorials for developers looking to take their PyTorch models to production. The tutorials include:

• Deploying PyTorch in Python via a REST API with Flask

• Introduction to TorchScript

• Loading a TorchScript Model in C++

• Exploring a Model from PyTorch to ONNX and Running it using ONNX Runtime

FRONTEND APIS

MODEL OPTIMIZATION

PARALLEL AND DISTRIBUTED TRAINING

链接地址：https://pytorch.org/blog/updates-improvements-to-pytorch-tutorials/