////////////////////////////////////////////////////////////////////////////////////////////////////
/// <summary> Need previous backward GPU. </summary>
///
/// <param name="y"> A NdArray to process. </param>
/// <param name="x"> A NdArray to process. </param>
///
/// <seealso cref="M:KelpNet.Common.Functions.CompressibleFunction.NeedPreviousBackwardGpu(NdArray,NdArray)"/>
////////////////////////////////////////////////////////////////////////////////////////////////////
protected override void NeedPreviousBackwardGpu([NotNull] NdArray y, [NotNull] NdArray x)
{
Real[] gx = new Real[x.Data.Length];
Real[] activatedgy = Activator != null?GetActivatedgy(y) : y.Grad;
if (!NoBias)
{
CalcBiasGrad(activatedgy, y.BatchCount);
}
using (ComputeBuffer <Real> gpugY = new ComputeBuffer <Real>(Weaver.Context, ComputeMemoryFlags.ReadOnly | ComputeMemoryFlags.CopyHostPointer, activatedgy))
{
using (ComputeBuffer <Real> gpugW = new ComputeBuffer <Real>(Weaver.Context, ComputeMemoryFlags.ReadWrite | ComputeMemoryFlags.CopyHostPointer, Weight.Grad))
{
using (ComputeBuffer <Real> gpuX = new ComputeBuffer <Real>(Weaver.Context, ComputeMemoryFlags.ReadOnly | ComputeMemoryFlags.CopyHostPointer, x.Data))
{
BackwardgWKernel.SetMemoryArgument(0, gpugY);
BackwardgWKernel.SetMemoryArgument(1, gpuX);
BackwardgWKernel.SetMemoryArgument(2, gpugW);
BackwardgWKernel.SetValueArgument(3, y.BatchCount);
BackwardgWKernel.SetValueArgument(4, OutputCount);
BackwardgWKernel.SetValueArgument(5, InputCount);
Weaver.CommandQueue.Execute(BackwardgWKernel, null, new long[] { InputCount, OutputCount },
null, null);
Weaver.CommandQueue.Finish();
Weaver.CommandQueue.ReadFromBuffer(gpugW, ref Weight.Grad, true, null);
}
}
using (ComputeBuffer <Real> gpugX = new ComputeBuffer <Real>(Weaver.Context, ComputeMemoryFlags.WriteOnly | ComputeMemoryFlags.AllocateHostPointer, gx.Length))
{
using (ComputeBuffer <Real> gpuW = new ComputeBuffer <Real>(Weaver.Context, ComputeMemoryFlags.ReadOnly | ComputeMemoryFlags.CopyHostPointer, Weight.Data))
{
BackwardgXKernel.SetMemoryArgument(0, gpugY);
BackwardgXKernel.SetMemoryArgument(1, gpuW);
BackwardgXKernel.SetMemoryArgument(2, gpugX);
BackwardgXKernel.SetValueArgument(3, y.BatchCount);
BackwardgXKernel.SetValueArgument(4, OutputCount);
BackwardgXKernel.SetValueArgument(5, InputCount);
Weaver.CommandQueue.Execute(BackwardgXKernel, null, new long[] { InputCount, y.BatchCount }, null, null);
Weaver.CommandQueue.Finish();
Weaver.CommandQueue.ReadFromBuffer(gpugX, ref gx, true, null);
}
}
}
for (int i = 0; i < x.Grad.Length; i++)
{
x.Grad[i] += gx[i];
}
}
////////////////////////////////////////////////////////////////////////////////////////////////////
/// <summary> Need previous backward GPU. </summary>
///
/// <param name="y"> A NdArray to process. </param>
/// <param name="x"> A NdArray to process. </param>
///
/// <seealso cref="M:KelpNet.Common.Functions.CompressibleFunction.NeedPreviousBackwardGpu(NdArray,NdArray)"/>
////////////////////////////////////////////////////////////////////////////////////////////////////
protected override void NeedPreviousBackwardGpu([NotNull] NdArray y, [NotNull] NdArray x)
{
Real[] gx = new Real[x.Data.Length];
Real[] activatedgy = Activator != null?GetActivatedgy(y) : y.Grad;
if (!NoBias)
{
CalcBiasGrad(activatedgy, y.Shape, y.BatchCount);
}
// gy is used in common
using (ComputeBuffer <Real> gpugY = new ComputeBuffer <Real>(Weaver.Context, ComputeMemoryFlags.ReadOnly | ComputeMemoryFlags.CopyHostPointer, activatedgy))
{
using (ComputeBuffer <Real> gpugW = new ComputeBuffer <Real>(Weaver.Context, ComputeMemoryFlags.ReadWrite | ComputeMemoryFlags.CopyHostPointer, Weight.Grad))
{
using (ComputeBuffer <Real> gpuX = new ComputeBuffer <Real>(Weaver.Context, ComputeMemoryFlags.ReadOnly | ComputeMemoryFlags.CopyHostPointer, x.Data))
{
BackwardgWKernel.SetMemoryArgument(0, gpugY);
BackwardgWKernel.SetMemoryArgument(1, gpuX);
BackwardgWKernel.SetMemoryArgument(2, gpugW);
BackwardgWKernel.SetValueArgument(3, y.BatchCount);
BackwardgWKernel.SetValueArgument(4, InputCount);
BackwardgWKernel.SetValueArgument(5, y.Length);
BackwardgWKernel.SetValueArgument(6, y.Shape[1]);
BackwardgWKernel.SetValueArgument(7, y.Shape[2]);
BackwardgWKernel.SetValueArgument(8, x.Shape[1]);
BackwardgWKernel.SetValueArgument(9, x.Shape[2]);
BackwardgWKernel.SetValueArgument(10, x.Length);
BackwardgWKernel.SetValueArgument(11, _subSampleX);
BackwardgWKernel.SetValueArgument(12, _subSampleY);
BackwardgWKernel.SetValueArgument(13, _trimX);
BackwardgWKernel.SetValueArgument(14, _trimY);
BackwardgWKernel.SetValueArgument(15, _kHeight);
BackwardgWKernel.SetValueArgument(16, _kWidth);
Weaver.CommandQueue.Execute(BackwardgWKernel, null, new long[] { OutputCount *InputCount, _kHeight, _kWidth },
null, null);
Weaver.CommandQueue.Finish();
Weaver.CommandQueue.ReadFromBuffer(gpugW, ref Weight.Grad, true, null);
}
}
using (ComputeBuffer <Real> gpugX = new ComputeBuffer <Real>(Weaver.Context, ComputeMemoryFlags.WriteOnly | ComputeMemoryFlags.AllocateHostPointer, gx.Length))
{
using (ComputeBuffer <Real> gpuW = new ComputeBuffer <Real>(Weaver.Context, ComputeMemoryFlags.ReadOnly | ComputeMemoryFlags.CopyHostPointer, Weight.Data))
{
BackwardgXKernel.SetMemoryArgument(0, gpugY);
BackwardgXKernel.SetMemoryArgument(1, gpuW);
BackwardgXKernel.SetMemoryArgument(2, gpugX);
BackwardgXKernel.SetValueArgument(3, OutputCount);
BackwardgXKernel.SetValueArgument(4, InputCount);
BackwardgXKernel.SetValueArgument(5, y.Length);
BackwardgXKernel.SetValueArgument(6, y.Shape[1]);
BackwardgXKernel.SetValueArgument(7, y.Shape[2]);
BackwardgXKernel.SetValueArgument(8, x.Shape[1]);
BackwardgXKernel.SetValueArgument(9, x.Shape[2]);
BackwardgXKernel.SetValueArgument(10, x.Length);
BackwardgXKernel.SetValueArgument(11, _subSampleX);
BackwardgXKernel.SetValueArgument(12, _subSampleY);
BackwardgXKernel.SetValueArgument(13, _trimX);
BackwardgXKernel.SetValueArgument(14, _trimY);
BackwardgXKernel.SetValueArgument(15, _kHeight);
BackwardgXKernel.SetValueArgument(16, _kWidth);
Weaver.CommandQueue.Execute(BackwardgXKernel, null, new long[] { y.BatchCount *x.Shape[0], x.Shape[1], x.Shape[2] },
null, null);
Weaver.CommandQueue.Finish();
Weaver.CommandQueue.ReadFromBuffer(gpugX, ref gx, true, null);
}
}
}
for (int i = 0; i < x.Grad.Length; i++)
{
x.Grad[i] += gx[i];
}
}
public override void SingleOutputBackward(NdArray y, NdArray x)
{
//フラグチェック
if (!IsParallel)
{
base.SingleOutputBackward(y, x);
return;
}
Real[] gx = new Real[x.Data.Length];
Real[] activatedgy = this.Activation != null?this.GetActivatedgy(y) : y.Grad;
if (!NoBias)
{
CalcBiasGrad(activatedgy, y.BatchCount);
}
using (ComputeBuffer <Real> gpugY = new ComputeBuffer <Real>(OpenCL.Context, ComputeMemoryFlags.ReadOnly | ComputeMemoryFlags.UseHostPointer, activatedgy))
{
using (ComputeBuffer <Real> gpugW = new ComputeBuffer <Real>(OpenCL.Context, ComputeMemoryFlags.ReadWrite | ComputeMemoryFlags.UseHostPointer, this.Weight.Grad))
using (ComputeBuffer <Real> gpuX = new ComputeBuffer <Real>(OpenCL.Context, ComputeMemoryFlags.ReadOnly | ComputeMemoryFlags.UseHostPointer, x.Data))
{
BackwardgWKernel.SetMemoryArgument(0, gpugY);
BackwardgWKernel.SetMemoryArgument(1, gpuX);
BackwardgWKernel.SetMemoryArgument(2, gpugW);
BackwardgWKernel.SetValueArgument(3, y.BatchCount);
BackwardgWKernel.SetValueArgument(4, this.OutputCount);
BackwardgWKernel.SetValueArgument(5, this.InputCount);
OpenCL.CommandQueue.Execute
(
BackwardgWKernel,
null,
new long[] { this.InputCount, this.OutputCount },
null,
null
);
OpenCL.CommandQueue.Finish();
OpenCL.CommandQueue.ReadFromBuffer(gpugW, ref this.Weight.Grad, true, null);
}
using (ComputeBuffer <Real> gpugX = new ComputeBuffer <Real>(OpenCL.Context, ComputeMemoryFlags.WriteOnly | ComputeMemoryFlags.AllocateHostPointer, gx.Length))
using (ComputeBuffer <Real> gpuW = new ComputeBuffer <Real>(OpenCL.Context, ComputeMemoryFlags.ReadOnly | ComputeMemoryFlags.UseHostPointer, this.Weight.Data))
{
BackwardgXKernel.SetMemoryArgument(0, gpugY);
BackwardgXKernel.SetMemoryArgument(1, gpuW);
BackwardgXKernel.SetMemoryArgument(2, gpugX);
BackwardgXKernel.SetValueArgument(3, y.BatchCount);
BackwardgXKernel.SetValueArgument(4, this.OutputCount);
BackwardgXKernel.SetValueArgument(5, this.InputCount);
OpenCL.CommandQueue.Execute
(
BackwardgXKernel,
null,
new long[] { this.InputCount, y.BatchCount },
null,
null
);
OpenCL.CommandQueue.Finish();
OpenCL.CommandQueue.ReadFromBuffer(gpugX, ref gx, true, null);
}
}
for (int i = 0; i < x.Grad.Length; i++)
{
x.Grad[i] += gx[i];
}
}
protected override void NeedPreviousBackwardGpu(NdArray y, NdArray x)
{
//Real[] gx = new Real[x.Data.Length];
var gx = GetArray("gx", x.Data.Length);
var activatedgy = Activator != null?GetActivatedgy(y) : y.Grad;
if (!NoBias)
{
CalcBiasGrad(activatedgy, y.BatchCount);
}
//using (ComputeBuffer<Real> gpugY = new ComputeBuffer<Real>(Weaver.Context, ComputeMemoryFlags.ReadOnly | ComputeMemoryFlags.CopyHostPointer, activatedgy))
//{
Weight.Grad.Switch(Common.ComputeDeviceTypes.Gpu);
x.Data.Switch(Common.ComputeDeviceTypes.Gpu);
activatedgy.Switch(Common.ComputeDeviceTypes.Gpu);
var gpugW = Weight.Grad.GetBuffer();
var gpuX = x.Data.GetBuffer();
var gpugY = activatedgy.GetBuffer();
//using (ComputeBuffer<Real> gpugW = new ComputeBuffer<Real>(Weaver.Context, ComputeMemoryFlags.ReadWrite | ComputeMemoryFlags.CopyHostPointer, this.Weight.Grad))
//using (ComputeBuffer<Real> gpuX = new ComputeBuffer<Real>(Weaver.Context, ComputeMemoryFlags.ReadOnly | ComputeMemoryFlags.CopyHostPointer, x.Data))
//{
BackwardgWKernel.SetMemoryArgument(0, gpugY);
BackwardgWKernel.SetMemoryArgument(1, gpuX);
BackwardgWKernel.SetMemoryArgument(2, gpugW);
BackwardgWKernel.SetValueArgument(3, y.BatchCount);
BackwardgWKernel.SetValueArgument(4, OutputCount);
BackwardgWKernel.SetValueArgument(5, InputCount);
Weaver.CommandQueue.Execute
(
BackwardgWKernel,
null,
new long[] { InputCount, OutputCount },
null,
null
);
Weaver.CommandQueue.Finish();
//TODO
//Weaver.CommandQueue.ReadFromBuffer(gpugW, ref this.Weight.Grad, true, null);
//}
//using (ComputeBuffer<Real> gpugX = new ComputeBuffer<Real>(Weaver.Context, ComputeMemoryFlags.WriteOnly | ComputeMemoryFlags.AllocateHostPointer, gx.Length))
//using (ComputeBuffer<Real> gpuW = new ComputeBuffer<Real>(Weaver.Context, ComputeMemoryFlags.ReadOnly | ComputeMemoryFlags.CopyHostPointer, this.Weight.Data))
//{
gx.Switch(Common.ComputeDeviceTypes.Gpu);
Weight.Data.Switch(Common.ComputeDeviceTypes.Gpu);
var gpugX = gx.GetBuffer();
var gpuW = Weight.Data.GetBuffer();
BackwardgXKernel.SetMemoryArgument(0, gpugY);
BackwardgXKernel.SetMemoryArgument(1, gpuW);
BackwardgXKernel.SetMemoryArgument(2, gpugX);
BackwardgXKernel.SetValueArgument(3, y.BatchCount);
BackwardgXKernel.SetValueArgument(4, OutputCount);
BackwardgXKernel.SetValueArgument(5, InputCount);
Weaver.CommandQueue.Execute
(
BackwardgXKernel,
null,
new long[] { InputCount, y.BatchCount },
null,
null
);
Weaver.CommandQueue.Finish();
//Weaver.CommandQueue.ReadFromBuffer(gpugX, ref gx, true, null);
//}
//}
using (x.Grad.Switch(Common.ComputeDeviceTypes.Cpu, true))
using (gx.Switch(Common.ComputeDeviceTypes.Cpu))
{
var xGrad = x.Grad.GetArray();
var gxArray = gx.GetArray();
for (int i = 0; i < x.Grad.Length; i++)
{
xGrad[i] += gxArray[i];
}
}
}
