Torch MLIR 101

Abstract:
In this meetup, we will be discussing the basics of MLIR and deep learning computations and dive into torch-mlir. This presentation will give the basic details of different passes a torchscript graph goes through and finally output TOSA, Linalg or MHLO backend (dialects) in torch-mlir. This presentation is meant for someone who wants to contribute to torch-mlir

Speaker Bio:
Prashant Kumar is a Deep learning compiler engineer at NOD labs. Prior to Nod labs he was working as a Machine learning Compiler Engineer at Qualcomm. He holds a Masters degree in Computer Science from IIT Delhi. He is an active contributor to the Torch-MLIR project and FPL library

Github: https://github.com/pashu123
LinkedIn: https://www.linkedin.com/in/prashantkumar25/