Replies: 1 comment
-
It is not supported at this moment. Need to modify the source code. |
Beta Was this translation helpful? Give feedback.
0 replies
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
-
Hello,
I am using the auxiliary_var_function argument in DeepXDE.data.PDE to enable interpolation and indexing with numpy functions instead of Tensorflow in the hope of it reducing the training time. I have an output transform which requires the same auxiliary_var_function, however it seems like it does not work the same way as the PDE function (i.e. add auxiliary_vars as an argument to pde: pde(inputs, outputs, auxiliary_vars) ). Is there a specific way to use the same auxiliary function that receives inputs from the model and used in the PDE in the output transform?
Beta Was this translation helpful? Give feedback.
All reactions