Thank you for your response. In my original post I did link the bug report you referred to and I tried putting optimizer: bfgs above self. After playing around with the config file I found that if I use a fully connected NN then the optimizer bfgs works but with my setup I am using a modified fourier network which doesn’t seem to work with the BFGS optimizer.
using a install of Modulus symbolic from the main branch of the Github repo and it was able to get into the training loop fine. Can you try LDC problem with this config and see if you get the same error?
I’m following up on the same problem. I can confirm that LDC example is running all right, but when using modified Fourier network, same key error happens.
I’m using miniconda environment and python 3.8 (because there are cmake issues when installing the nvidia-modulus.sym. Please correct me if there’s been any updates). nvidia-modulus and nvidia-modulus.sym is installed from pip, showing version of 0.1.0 for modulus, and 1.0.0 for modulus.sym.
Please let me know if you need additional information.