Treffer: FTorch: a library for coupling PyTorch models to Fortran
Title:
FTorch: a library for coupling PyTorch models to Fortran
Authors:
Publisher Information:
University Information Services
Department of Computer Science and Technology
//doi.org/10.21105/joss.07602
The Open Journal
Department of Computer Science and Technology
//doi.org/10.21105/joss.07602
The Open Journal
Publication Year:
2025
Collection:
Apollo - University of Cambridge Repository
Subject Terms:
Document Type:
Fachzeitschrift
article in journal/newspaper
File Description:
application/pdf
Language:
English
Availability:
Rights:
Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/
Accession Number:
edsbas.EBA15367
Database:
BASE
Weitere Informationen
In the last decade, machine learning (ML) and deep learning (DL) techniques have revolutionised many fields within science, industry, and beyond. Researchers across domains are increasingly seeking to combine ML with numerical modelling to advance research. This typically brings about the challenge of programming language interoperation. PyTorch (Paszke et al., 2019) is a popular framework for designing and training ML/DL models whilst Fortran remains a language of choice for many high-performance computing (HPC) scientific models. The FTorch library provides an easy-to-use, performant, cross-platform method for coupling the two, allowing users to call PyTorch models from Fortran. ; Schmidt Sciences, LLC