[Solved] Error in implementation of "Deep Learning Coordinated Beamforming for Highly-Mobile Millimeter Wave Systems"  

Hello,

I am trying to recreate the figures of  "Deep Learning Coordinated Beamforming for Highly-Mobile Millimeter Wave Systems" paper. 

I am running the code in Spyder in Anaconda from a Windows 10 PC.
I am facing some errors with the python code like:

ValueError: Dimensions must be equal, but are 512 and 0 for '{{node mean_squared_error/SquaredDifference}} = SquaredDifference[T=DT_FLOAT](sequential_7/dense_47/Relu, IteratorGetNext:1)' with input shapes: [?,512], [?,0].

And,

2022-12-21 12:35:51.507369: W tensorflow/core/util/tensor_slice_reader.cc:96] Could not open DLCB_code_output\Results_mmWave_ML_BSBS0: UNKNOWN: NewRandomAccessFile failed to Create/Open: DLCB_code_output\Results_mmWave_ML_BSBS0 : Access is denied.
; Input/output error

I would like to ask you if you are aware of the errors, and if so, what is the solution to the problem.
Is there a new version of the python script that works properly ?

Thank you very much.