/// <summary>Writes Training Set into device memory</summary>
private void WriteToDevice()
{
//Vector length
if (HostVLen == null)
{
HostVLen = new int[1];
HostVLen[0] = (1 + ((TrainingSet.trainingArray[0].xVector.Length - 1) >> 2)) << 2;
}
//Populates OpenCL buffer
if (TrainingFeatures == null) // || TrainingFeatures.Length != TrainingSet.getN * HostVLen[0])
{
TrainingFeatures = new float[TrainingSet.getN * HostVLen[0]];
}
for (int i = 0; i < TrainingSet.getN; i++)
{
for (int j = 0; j < TrainingSet.trainingArray[0].xVector.Length; j++)
{
TrainingFeatures[j + i * HostVLen[0]] = TrainingSet.trainingArray[i].xVector[j];
}
}
if (CLCalc.CLAcceleration != CLCalc.CLAccelerationType.UsingCL)
{
return;
}
lock (CLResource)
{
//Writes to OpenCL memory
//if (CLTrainingFeatures != null) CLTrainingFeatures.Dispose();
if (CLTrainingFeatures == null || CLTrainingFeatures.OriginalVarLength != TrainingFeatures.Length)
{
if (CLTrainingFeatures != null)
{
CLTrainingFeatures.Dispose();
}
CLTrainingFeatures = new CLCalc.Program.Variable(TrainingFeatures);
}
else
{
CLTrainingFeatures.WriteToDevice(TrainingFeatures);
}
//if (CLXVecLen != null) CLXVecLen.Dispose();
if (CLXVecLen == null)
{
CLXVecLen = new CLCalc.Program.Variable(HostVLen);
}
else
{
CLXVecLen.WriteToDevice(HostVLen);
}
HostSample = new float[HostVLen[0]];
//if (CLSample != null) CLSample.Dispose();
if (CLSample == null)
{
CLSample = new CLCalc.Program.Image2D(HostSample, HostVLen[0] >> 2, 1);
}
else
{
CLSample.WriteToDevice(HostSample);
}
//if (CLKernelValues != null) CLKernelValues.Dispose();
if (CLKernelValues == null || CLKernelValues.OriginalVarLength != TrainingSet.getN)
{
CLKernelValues = new CLCalc.Program.Variable(new float[TrainingSet.getN]);
}
else
{
CLKernelValues.WriteToDevice(new float[TrainingSet.getN]);
}
//if (CLLambda != null) CLLambda.Dispose();
if (CLLambda == null)
{
CLLambda = new CLCalc.Program.Variable(new float[] { this.ProblemCfg.lambda });
}
else
{
CLLambda.WriteToDevice(new float[] { this.ProblemCfg.lambda });
}
}
}
