public NetworkFloatDllTools(NEATNetwork network)
{
parm = new NEATNetworkParm();
parm.linkCount = network.Links.Length;
_linkArr = new Link[parm.linkCount];
int index = 0;
foreach (NEATLink l in network.Links)
{
_linkArr[index].fromNeuron = l.FromNeuron;
_linkArr[index].toNeuron = l.ToNeuron;
_linkArr[index].weight = (float)l.Weight;
index++;
}
parm.link = Marshal.AllocHGlobal(Marshal.SizeOf(typeof(Link)) * parm.linkCount);
IntPtr pAddr = parm.link;
for (int i = 0; i < _linkArr.Length; i++)
{
Marshal.StructureToPtr(_linkArr[i], pAddr, false);
pAddr += Marshal.SizeOf(typeof(Link));
}
parm.neuronCount = network.PostActivation.Length;
parm.outputIndex = network.OutputIndex;
parm.preActivation = Marshal.AllocHGlobal(Marshal.SizeOf(typeof(float)) * parm.neuronCount);
parm.postActivation = Marshal.AllocHGlobal(Marshal.SizeOf(typeof(float)) * parm.neuronCount);
parm.outBufferCtrlCount = network.PreActivation.Length;
parm.outBufferCtrl = Marshal.AllocHGlobal(Marshal.SizeOf(typeof(OutputBufferCtrl)) * parm.outBufferCtrlCount);
int outBufferLineLength = sizeof(float) * network.PreActivation.Length;
_outBuffer = Marshal.AllocHGlobal(outBufferLineLength * parm.outBufferCtrlCount);
IntPtr pAddr2 = parm.outBufferCtrl;
IntPtr pOutAddr = _outBuffer;
OutputBufferCtrl bufferCtrl = new OutputBufferCtrl();
bufferCtrl.length = 0;
bufferCtrl.pBuf = IntPtr.Zero;
for (int i = 0; i < parm.outBufferCtrlCount; i++)
{
bufferCtrl.pBufStart = pOutAddr;
Marshal.StructureToPtr(bufferCtrl, pAddr2, false);
pAddr2 += Marshal.SizeOf(typeof(OutputBufferCtrl));
pOutAddr += outBufferLineLength;
}
parm.inputCount = network.InputCount;
parm.input = Marshal.AllocHGlobal(Marshal.SizeOf(typeof(double)) * parm.inputCount);
parm.outputCount = network.OutputCount;
_outputBuffer = new double[network.OutputCount];
parm.output = Marshal.AllocHGlobal(Marshal.SizeOf(typeof(double)) * parm.outputCount);
parm.activationCycles = network.ActivationCycles;
}
static NEATNetworkTest()
{
// Create Network
_net = new NEATNetwork();
_net.InputCount = _inputCount;
_net.OutputCount = _outputCount;
_net.ActivationCycles = 4;
_net.OutputIndex = _net.InputCount + 1;
_net.Links = new NEATLink[(int)(_net.InputCount * _net.OutputCount * 1.5)];
Random rand = new Random();
for (int i = 0; i < _net.Links.Length; i++)
{
_net.Links[i] = new NEATLink()
{
FromNeuron = rand.Next(_net.Links.Length),
ToNeuron = rand.Next(_net.Links.Length),
Weight = (rand.NextDouble() - 0.5) * 0.02,
};
}
_net.PreActivation = new double[_net.Links.Length];
_net.PostActivation = new double[_net.Links.Length];
// Create sampleData;
_sampleTestData = new double[_inputCount];
_sampleResultData = new double[_outputCount];
for (int i = 0; i < _inputCount; i++)
{
_sampleTestData[i] = rand.NextDouble() * 2 - 1;
}
_sampleResultData = _net.Compute(_sampleTestData);
}
public NetworkFloatDllTools(NEATNetwork network)
{
parm = new NEATNetworkParm();
parm.linkCount = network.Links.Length;
_linkArr = new Link[parm.linkCount];
int index = 0;
foreach (NEATLink l in network.Links)
{
_linkArr[index].fromNeuron = l.FromNeuron;
_linkArr[index].toNeuron = l.ToNeuron;
_linkArr[index].weight = (float)l.Weight;
index++;
}
parm.link = Marshal.AllocHGlobal(Marshal.SizeOf(typeof(Link)) * parm.linkCount);
IntPtr pAddr = parm.link;
for (int i = 0; i < _linkArr.Length; i++)
{
Marshal.StructureToPtr(_linkArr[i], pAddr, false);
pAddr += Marshal.SizeOf(typeof(Link));
}
parm.neuronCount = network.PostActivation.Length;
parm.outputIndex = network.OutputIndex;
parm.preActivation = Marshal.AllocHGlobal(Marshal.SizeOf(typeof(float)) * parm.neuronCount);
parm.postActivation = Marshal.AllocHGlobal(Marshal.SizeOf(typeof(float)) * parm.neuronCount);
parm.outBufferCtrlCount = network.PreActivation.Length;
parm.outBufferCtrl = Marshal.AllocHGlobal(Marshal.SizeOf(typeof(OutputBufferCtrl)) * parm.outBufferCtrlCount);
int outBufferLineLength = sizeof(float) * network.PreActivation.Length;
_outBuffer = Marshal.AllocHGlobal(outBufferLineLength * parm.outBufferCtrlCount);
IntPtr pAddr2 = parm.outBufferCtrl;
IntPtr pOutAddr = _outBuffer;
OutputBufferCtrl bufferCtrl = new OutputBufferCtrl();
bufferCtrl.length = 0;
bufferCtrl.pBuf = IntPtr.Zero;
for (int i = 0; i < parm.outBufferCtrlCount; i++)
{
bufferCtrl.pBufStart = pOutAddr;
Marshal.StructureToPtr(bufferCtrl, pAddr2, false);
pAddr2 += Marshal.SizeOf(typeof(OutputBufferCtrl));
pOutAddr += outBufferLineLength;
}
parm.inputCount = network.InputCount;
parm.input = Marshal.AllocHGlobal(Marshal.SizeOf(typeof(double)) * parm.inputCount);
parm.outputCount = network.OutputCount;
_outputBuffer = new double[network.OutputCount];
parm.output = Marshal.AllocHGlobal(Marshal.SizeOf(typeof(double)) * parm.outputCount);
parm.activationCycles = network.ActivationCycles;
}
static NEATNetworkTest()
{
// Create Network
_net = new NEATNetwork();
_net.InputCount = _inputCount;
_net.OutputCount = _outputCount;
_net.ActivationCycles = 4;
_net.OutputIndex = _net.InputCount + 1;
_net.Links = new NEATLink[(int)(_net.InputCount * _net.OutputCount * 1.5)];
Random rand = new Random();
for (int i = 0; i < _net.Links.Length; i++)
{
_net.Links[i] = new NEATLink()
{
FromNeuron = rand.Next(_net.Links.Length),
ToNeuron = rand.Next(_net.Links.Length),
Weight = (rand.NextDouble() - 0.5) * 0.02,
};
}
_net.PreActivation = new double[_net.Links.Length];
_net.PostActivation = new double[_net.Links.Length];
// Create sampleData;
_sampleTestData = new double[_inputCount];
_sampleResultData = new double[_outputCount];
for (int i = 0; i < _inputCount; i++)
{
_sampleTestData[i] = rand.NextDouble() * 2 - 1;
}
_sampleResultData = _net.Compute(_sampleTestData);
}
