Moose::LibtorchActorNeuralNet Member List

This is the complete list of members for Moose::LibtorchActorNeuralNet, including all inherited members.

_action_distribution	Moose::LibtorchActorNeuralNet	protected
_activation_function	Moose::LibtorchArtificialNeuralNet	protected
_data_type	Moose::LibtorchArtificialNeuralNet	protected
_device_type	Moose::LibtorchArtificialNeuralNet	protected
_input_scale_tensor	Moose::LibtorchArtificialNeuralNet	protected
_input_scaling_factors	Moose::LibtorchArtificialNeuralNet	protected
_input_shift_factors	Moose::LibtorchArtificialNeuralNet	protected
_input_shift_tensor	Moose::LibtorchArtificialNeuralNet	protected
_maximum_values	Moose::LibtorchActorNeuralNet	protected
_minimum_values	Moose::LibtorchActorNeuralNet	protected
_name	Moose::LibtorchArtificialNeuralNet	protected
_num_inputs	Moose::LibtorchArtificialNeuralNet	protected
_num_neurons_per_layer	Moose::LibtorchArtificialNeuralNet	protected
_num_outputs	Moose::LibtorchArtificialNeuralNet	protected
_output_scale_tensor	Moose::LibtorchArtificialNeuralNet	protected
_output_scaling_factors	Moose::LibtorchArtificialNeuralNet	protected
_state_independent_std	Moose::LibtorchActorNeuralNet	protected
_weights	Moose::LibtorchArtificialNeuralNet	protected
actionDistribution() const	Moose::LibtorchActorNeuralNet	inline
actionDistribution()	Moose::LibtorchActorNeuralNet	inline
activationFunctions() const	Moose::LibtorchArtificialNeuralNet
addLayer(const std::string &layer_name, const std::unordered_map< std::string, unsigned int > &parameters)	Moose::LibtorchArtificialNeuralNet	virtual
betaActionDistribution() const	Moose::LibtorchActorNeuralNet
betaActionDistribution()	Moose::LibtorchActorNeuralNet
betaActionDistributionPtr() const	Moose::LibtorchActorNeuralNet
betaActionDistributionPtr()	Moose::LibtorchActorNeuralNet
constructNeuralNetwork() override	Moose::LibtorchActorNeuralNet	virtual
dataType() const	Moose::LibtorchArtificialNeuralNet
determineGain(const std::string &activation)	Moose::LibtorchArtificialNeuralNet
deviceType() const	Moose::LibtorchArtificialNeuralNet
entropy()	Moose::LibtorchActorNeuralNet
evaluate(torch::Tensor &input, bool sampled, c10::optional< at::Generator > generator=c10::nullopt)	Moose::LibtorchActorNeuralNet	virtual
forward(const torch::Tensor &x) override	Moose::LibtorchActorNeuralNet	virtual
gaussianActionDistribution() const	Moose::LibtorchActorNeuralNet
gaussianActionDistribution()	Moose::LibtorchActorNeuralNet
gaussianActionDistributionPtr() const	Moose::LibtorchActorNeuralNet
gaussianActionDistributionPtr()	Moose::LibtorchActorNeuralNet
initializeAffineBuffers()	Moose::LibtorchArtificialNeuralNet	protected
initializeNeuralNetwork(c10::optional< at::Generator > generator=c10::nullopt) override	Moose::LibtorchActorNeuralNet	virtual
inputScalingFactors() const	Moose::LibtorchArtificialNeuralNet
inputShiftFactors() const	Moose::LibtorchArtificialNeuralNet
LibtorchActorNeuralNet(const std::string name, const unsigned int num_inputs, const unsigned int num_outputs, const std::vector< unsigned int > &num_neurons_per_layer, const std::vector< std::string > &activation_function={"relu"}, const std::vector< Real > &minimum_values={}, const std::vector< Real > &maximum_values={}, const torch::DeviceType device_type=torch::kCPU, const torch::ScalarType scalar_type=torch::kDouble, const bool build_on_construct=true, const std::vector< Real > &input_shift_factors={}, const std::vector< Real > &input_scaling_factors={}, const std::vector< Real > &output_scaling_factors={}, const bool state_independent_std=true)	Moose::LibtorchActorNeuralNet
LibtorchActorNeuralNet(const Moose::LibtorchActorNeuralNet &nn, const bool build_on_construct=true)	Moose::LibtorchActorNeuralNet
LibtorchArtificialNeuralNet(const std::string name, const unsigned int num_inputs, const unsigned int num_outputs, const std::vector< unsigned int > &num_neurons_per_layer, const std::vector< std::string > &activation_function={"relu"}, const torch::DeviceType device_type=torch::kCPU, const torch::ScalarType scalar_type=torch::kDouble, const bool build_on_construct=true, const std::vector< Real > &input_shift_factors={}, const std::vector< Real > &input_scaling_factors={}, const std::vector< Real > &output_scaling_factors={})	Moose::LibtorchArtificialNeuralNet
LibtorchArtificialNeuralNet(const Moose::LibtorchArtificialNeuralNet &nn, const bool build_on_construct=true)	Moose::LibtorchArtificialNeuralNet
logProbability(const torch::Tensor &other)	Moose::LibtorchActorNeuralNet
maxValues() const	Moose::LibtorchActorNeuralNet	inline
minValues() const	Moose::LibtorchActorNeuralNet	inline
name() const	Moose::LibtorchArtificialNeuralNet
numHiddenLayers() const	Moose::LibtorchArtificialNeuralNet
numInputs() const	Moose::LibtorchArtificialNeuralNet
numNeuronsPerLayer() const	Moose::LibtorchArtificialNeuralNet
numOutputs() const	Moose::LibtorchArtificialNeuralNet
outputScalingFactors() const	Moose::LibtorchArtificialNeuralNet
preprocessInput(const torch::Tensor &x) const	Moose::LibtorchArtificialNeuralNet	protectedvirtual
resetDistributionParams(torch::Tensor input)	Moose::LibtorchActorNeuralNet
sample(c10::optional< at::Generator > generator=c10::nullopt)	Moose::LibtorchActorNeuralNet	virtual
scaleOutput(const torch::Tensor &y) const	Moose::LibtorchArtificialNeuralNet	protectedvirtual
setAffineFactors(const std::vector< Real > &factors, unsigned int expected_size, Real default_value, const std::string &factor_name)	Moose::LibtorchArtificialNeuralNet	protectedstatic
stateIndependentStd() const	Moose::LibtorchActorNeuralNet	inline
store(nlohmann::json &json) const	Moose::LibtorchArtificialNeuralNet
synchronizeAffineFactorsFromBuffers()	Moose::LibtorchArtificialNeuralNet
~LibtorchNeuralNetBase()	Moose::LibtorchNeuralNetBase	virtual