Key Features

What you can do

Eager and Graph Mode Transition

Allows switching between eager execution and graph mode using TorchScript for flexible model development and optimization.

Scalable Distributed Training

Supports distributed training across multiple GPUs and nodes using the torch.distributed backend.

Production Deployment with TorchServe

Provides TorchServe for serving trained models in production environments.

Rich Ecosystem

Includes libraries for computer vision, natural language processing, and other domains.

Cloud Platform Support

Compatible with major cloud providers like AWS for scalable training and deployment.