Enhancing Deep Learning Performance with Triton and PyTorch - vector add example with IRs

Generated by my old NVidia GTX 1060 GPU

Introduction

In the rapidly evolving field of deep learning, the efficiency of operations is paramount. Triton, as a language and compiler, emerges as a powerful tool, enabling custom deep learning operations with remarkable efficiency. Paired with PyTorch, it opens up new possibilities for optimization. This blog post delves into a practical example of vector addition using Triton, highlighting its Intermediate Representations (IRs) and comparing its performance with PyTorch.