Posts

• 24 Feb 2021

  Some calculus with torch::autograd

  Most neural networks learn by minimizing a scalar-valued error. There is ample information about the back-propagation c...
• 14 Dec 2020

  Training a PyTorch neural network on cell-centered OpenFOAM fields

  This post covers the use of the PyTorch C++ API for approximating cell-centered fields (pressure, temperature, density, ...
• 25 Nov 2020

  An almost minimal example of an object-oriented library in OpenFOAM

  Computational Fluid Dynamics (CFD) models often share the same data and differ in how this data is processed, which orga...
• 24 Aug 2020

  Learning cos(x) using torch::Sequential from the PyTorch C++ API

  This post covers the use of the PyTorch C++ API for approximating a function of a single variable using a Neural Network...