Marcus Appelros

Results 9 comments of Marcus Appelros

The getters are straight forward, just query the policy as usual. The setters are a form of supervised learning so it would make sense to save every set value as...

Let's say our child is practicing math and we have prepared a challenging problem. The getter would be asking what they think the answer is and the setter is telling...

Yes, as mentioned this is supervised and people would be able to plug their favorite ML library. Connecting the two is the goal, schools don't let students work entirely on...

Interesting coincidence, was thinking the minute before checking these issues that I need a good way to save/load AI "monsters" (with arbitrary architecture). Should be easy to plug in a...

Trying ``` import keras keras.layers.TFSMLayer("/home/admins/fysik/KSTAR_tokamak_simulator/weights/k2rz/best_model0", call_endpoint="serving_default") ``` Gives the error ``` Traceback (most recent call last): File "", line 1, in File "/home/admins/.local/lib/python3.10/site-packages/keras/src/export/export_lib.py", line 735, in __init__ self._reloaded_obj = tf.saved_model.load(filepath)...

Used a virtual environment with the following requirements.txt: ``` Keras==2.8 matplotlib==3.5.1 numpy==1.23.5 PyQt5-Qt5==5.15.2 PyQt5-sip==12.9.0 QtPy==1.9.0 scipy==1.8 tensorflow==2.8.0 protobuf==3.20 ``` And it runs, with some issues: ``` 2024-06-29 21:26:33.562427: W tensorflow/core/util/tensor_slice_reader.cc:96]...

I found the line `ccall((:gvRenderContext,libgvc),Cint,(Ptr{Cvoid},Ptr{Cvoid},Ptr{UInt8},Ptr{Cvoid}),context.handle,g.handle,format,C_NULL)` returns -1 and prints the error `Error: renderer for julia:cairo is unavailable`. By changing the lines ``` const julia_cairo_name = Vector{UInt8}("julia:cairo") const julia_cairo_libname = Vector{UInt8}("julia:cairo")...

I simplified your equations and now it finds a solution in seconds. Are you still involved in plasma research, even if not this repo?

I'm actually not sure, at first I simply set E and B to 0 and then it was lightning fast, but even when activating E in the 1D case training...