[HarHarVeryFunny]

With Lua Torch the model execution was eager, but you still had to construct the model graph beforehand - it wasn't "define by run" like PyTorch.

Back in the day, having completed Andrew Ng's ML coursew, I then built my own C++ NN framework copying this graph-mode Lua Torch API. One of the nice things about explicitly building a graph was that my framework supported having the model generate a GraphViz DOT representation of itself so I could visualize it.

[liuliu]

Ah, I get what you mean now. I am mixing up the nn module and the tensor execution bits. (to be fair, the PyTorch nn module carries over many these quirks!).