TensorRT-LLMs/docs/source/torch.md

PyTorch Backend

Note:
This feature is currently experimental, and the related API is subjected to change in future versions.

To enhance the usability of the system and improve developer efficiency, TensorRT-LLM launches a new experimental backend based on PyTorch.

The PyTorch backend of TensorRT-LLM is available in version 0.17 and later. You can try it via importing tensorrt_llm._torch.

Quick Start

Here is a simple example to show how to use tensorrt_llm.LLM API with Llama model.

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Features

• Sampling
• Quantization
• Overlap Scheduler
• Feature Combination Matrix

Developer Guide

• Architecture Overview
• Adding a New Model
• Examples

Key Components

• Attention
• KV Cache Manager
• Scheduler

Known Issues

• The PyTorch backend on SBSA is incompatible with bare metal environments like Ubuntu 24.04. Please use the PyTorch NGC Container for optimal support on SBSA platforms.