TorchFort and pytorch-fortran
About TorchFort
NVIDIA/TorchFort
An Online Deep Learning Interface for HPC programs on NVIDIA GPUs
This tool helps scientists and engineers integrate Deep Learning directly into their high-performance computing (HPC) simulation codes. You can feed data arrays from your Fortran or C/C++ simulations into PyTorch models for training or inference, all within the same simulation process. This is ideal for domain scientists working with complex simulations who want to embed machine learning capabilities.
About pytorch-fortran
alexeedm/pytorch-fortran
Pytorch bindings for Fortran
This project helps Fortran HPC developers integrate PyTorch deep learning capabilities directly into their existing Fortran codebases. You can define a neural network model in Python, load it into Fortran, pass in Fortran arrays as input, run inference or training, and receive the output as native Fortran arrays. This allows Fortran developers to leverage PyTorch's optimized deep learning framework without rewriting their high-performance computing applications.
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