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LibtorchArtificialNeuralNetParameters.h
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9 
10 #ifdef LIBTORCH_ENABLED
11 
12 #pragma once
13 
14 #include <torch/torch.h>
16 #include "GeneralReporter.h"
17 #include "nlohmann/json.h"
18 
24 {
25 public:
27 
29 
30  void initialize() override{};
31  void execute() override;
32  void finalize() override{};
33 
34  void initialSetup() override;
35 
36 protected:
38  const std::string _control_name;
39 
42 
46 };
47 
48 #endif
A time-dependent, neural network-based control of multiple input parameters.
Reporter object that has a single execution of the "execute" method for for each execute flag...
const LibtorchNeuralNetControl * _controller
Pointer to the controller so that we can avoid warehouse lookups in the execute function.
The main MOOSE class responsible for handling user-defined parameters in almost every MOOSE system...
void initialSetup() override
Gets called at the beginning of the simulation before this object is asked to do its job...
const std::string _control_name
The name of the control objects which hold the neural networks.
const Moose::LibtorchArtificialNeuralNet *& _network
Reference to a neural net pointer declared as a reporter.
LibtorchArtificialNeuralNetParameters(const InputParameters &params)
A Reporter which can print the parameter values of a LibtorchArtificialNeuralNetwork from within a Co...
void initialize() override
Called before execute() is ever called so that data can be cleared.