77 lines
3.0 KiB
C#
77 lines
3.0 KiB
C#
using Enigmos.Ports;
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using Enigmos.Ports.DataPorts;
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using Godot;
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using Nocturnis.DataStructures;
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using Nocturnis.Enigmos.Modules;
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using Nocturnis.Enigmos.Ports;
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using TabulaSmaragdina;
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using TabulaSmaragdina.Constants;
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namespace Enigmos.Modules.ComputationalModules.Binary;
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public partial class ScalarMultiplicationModule : BinaryComputationalModule, IPolymorphismModule
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{
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private IDataPortGroup? ScalarInputGroup { get; set; }
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private IDataPortGroup? TensorInputGroup { get; set; }
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private IDataPortGroup? OutputGroup { get; set; }
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private DataOutPort? Output1 { get; set; }
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private DataOutPort? Output2 { get; set; }
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private DataOutPort? Output3 { get; set; }
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private DataOutPort? Output4 { get; set; }
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public override IEnumerable<BasePort> Ports => base.Ports.Union(new[] { Output1, Output2, Output3, Output4 })!;
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public HashSet<IDataPortGroup> ConfigurablePortGroups { get; set; } = new();
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public override void Init()
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{
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base.Init();
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Output1 = GetPort<DataOutPort>("Output1");
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Output2 = GetPort<DataOutPort>("Output2");
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Output3 = GetPort<DataOutPort>("Output3");
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Output4 = GetPort<DataOutPort>("Output4");
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ScalarInputGroup = GlobalProvider.DataStructureProvider.NewDataPortGroup(
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this,
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new IDataPort[] { Input1 },
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"Scalar Input Type",
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EnigmosConstant.DataPortTypes.Real,
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EnigmosConstant.DataPortTypes.NumericTypes
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);
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TensorInputGroup = GlobalProvider.DataStructureProvider.NewDataPortGroup(
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this,
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new IDataPort[] { Input2 },
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"Tensor Input Type",
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EnigmosConstant.DataPortTypes.R2,
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EnigmosConstant.DataPortTypes.VectorTypes
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);
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OutputGroup = GlobalProvider.DataStructureProvider.NewDataPortGroup(
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this,
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new IDataPort[] { Output1, Output2, Output3, Output4 },
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"",
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EnigmosConstant.DataPortTypes.Real,
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Array.Empty<StringName>()
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);
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ConfigurablePortGroups = new HashSet<IDataPortGroup> { ScalarInputGroup, TensorInputGroup };
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PostInit();
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}
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protected override void Compute(IDataPackage input1, IDataPackage input2)
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{
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IDataPackage res =
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GlobalProvider.PolymorphismProvider!
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.ScalarMul(input1, input2, ScalarInputGroup!.SelectedType, TensorInputGroup!.SelectedType);
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foreach (IDataPort port in OutputGroup!)
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(port as DataOutPort)!.ResultData.Assign(res, OutputGroup.SelectedType);
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}
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public void Inference()
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{
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if (
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GlobalProvider.DataPackageTypeProvider!.IsComplexTensorType(ScalarInputGroup!.SelectedType) ||
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GlobalProvider.DataPackageTypeProvider.IsComplexTensorType(TensorInputGroup!.SelectedType)
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)
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OutputGroup!.SelectedType = GlobalProvider.DataPackageTypeProvider.ComplexVersionOf(TensorInputGroup!.SelectedType);
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else
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OutputGroup!.SelectedType = TensorInputGroup.SelectedType;
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}
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} |