public static IActivationFunction GetActivationFunction(ActivationFunction activationFunction)
{
IActivationFunction result;
switch (activationFunction)
{
case ActivationFunction.ELU:
result = new ELU();
break;
case ActivationFunction.ReLU:
result = new ReLU();
break;
case ActivationFunction.Sigmoid:
result = new Sigmoid();
break;
case ActivationFunction.None:
result = null;
break;
case ActivationFunction.Swish:
result = new Swish();
break;
default:
result = new ReLU();
break;
}
return(result);
}
public void Load(byte[] data)
{
var memStream = new MemoryStream();
var binForm = new BinaryFormatter();
memStream.Write(data, 0, data.Length);
memStream.Seek(0, SeekOrigin.Begin);
var obj = (SaveNetworkModel)binForm.Deserialize(memStream);
var layers = new List <ILayer>();
Layers = null;
foreach (var layer in obj.Layers)
{
var function = new BipolarSigmoid();
var relu = new ELU();
if (layer.Type == LayerType.Convolution)
{
layers.Add(new ConvolutionalLayer(layer.ActivationType, layer.OutputLength, layer.KernelSize));
}
if (layer.Type == LayerType.MaxPoolingLayer)
{
layers.Add(new MaxPoolingLayer(layer.KernelSize));
}
if (layer.Type == LayerType.FullyConnected)
{
layers.Add(new FullyConnectedLayer(layer.OutputLength, layer.ActivationType));
}
}
InitLayers(obj.InputWidth, obj.InputHeight, layers.ToArray());
for (var l = 0; l < Layers.Length; l++)
{
if (Layers[l].Type == LayerType.Convolution)
{
var layer = (ConvolutionalLayer)Layers[l];
for (var n = 0; n < layer.NeuronsCount; n++)
{
layer.Neurons[n].Weights = obj.Layers[l].ConvNeurons[n].Weights;
}
}
if (Layers[l].Type == LayerType.FullyConnected)
{
var layer = (FullyConnectedLayer)Layers[l];
for (var n = 0; n < layer.NeuronsCount; n++)
{
layer.Neurons[n].Weights = obj.Layers[l].FullyConnectedNeurons[n].Weights;
}
}
}
}
public Layer(int nCount, int index, ActivationSettings activationSettings)
{
NCount = nCount;
Index = index;
ActivationType = activationSettings.Type();
// Activation Setup
switch (activationSettings.Type())
{
case EActivationType.Invalid:
Activation = null;
throw new ArgumentException("Activation Type Invalid.");
case EActivationType.Arctan:
Activation = new Arctan();
break;
case EActivationType.BinaryStep:
Activation = new BinaryStep();
break;
case EActivationType.BipolarSigmoid:
Activation = new BipolarSigmoid();
break;
case EActivationType.ELU:
Activation = new ELU((ELUSettings)activationSettings);
break;
case EActivationType.HardSigmoid:
Activation = new HardSigmoid();
break;
case EActivationType.HardTanh:
Activation = new HardTanh();
break;
case EActivationType.Identity:
Activation = new Identity();
break;
case EActivationType.Logit:
Activation = new Logit();
break;
case EActivationType.LReLU:
Activation = new LReLU((LReLUSettings)activationSettings);
break;
case EActivationType.Mish:
Activation = new Mish();
break;
case EActivationType.ReLU:
Activation = new ReLU();
break;
case EActivationType.SeLU:
Activation = new SeLU();
break;
case EActivationType.Sigmoid:
Activation = new Sigmoid();
break;
case EActivationType.Softmax:
Activation = new Softmax();
break;
case EActivationType.Softplus:
Activation = new Softplus();
break;
case EActivationType.Softsign:
Activation = new Softsign();
break;
case EActivationType.Tanh:
Activation = new Tanh();
break;
default:
throw new ArgumentException("Activation Type Invalid.");
}
}
public static void Run(bool verbose)
{
Stopwatch sw = new Stopwatch();
NdArray inputArrayCpu = new NdArray(BenchDataMaker.GetRealArray(INPUT_SIZE));
NdArray inputArrayGpu = new NdArray(BenchDataMaker.GetRealArray(INPUT_SIZE));
Ensure.Argument(inputArrayGpu).NotNull();
Ensure.Argument(inputArrayCpu).NotNull();
//Linear
Linear linear = new Linear(verbose, INPUT_SIZE, OUTPUT_SIZE);
if (verbose)
{
RILogManager.Default?.EnterMethod(linear.Name);
}
sw.Restart();
NdArray[] gradArrayCpu = linear.Forward(verbose, inputArrayCpu);
sw.Stop();
if (verbose)
{
RILogManager.Default?.SendDebug("Forward [Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
}
Ensure.Argument(gradArrayCpu).NotNull();
gradArrayCpu[0].Grad = gradArrayCpu[0].Data; // Use Data as Grad
sw.Restart();
linear.Backward(verbose, gradArrayCpu);
sw.Stop();
if (verbose)
{
RILogManager.Default?.SendDebug("Backward[Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
}
if (linear.SetGpuEnable(true))
{
sw.Restart();
NdArray[] gradArrayGpu = linear.Forward(verbose, inputArrayGpu);
sw.Stop();
if (verbose)
{
RILogManager.Default?.SendDebug("Forward [Gpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
}
gradArrayGpu[0].Grad = gradArrayGpu[0].Data;
sw.Restart();
linear.Backward(verbose, gradArrayGpu);
sw.Stop();
if (verbose)
{
RILogManager.Default?.SendDebug("Backward[Gpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
}
}
if (verbose)
{
RILogManager.Default?.ExitMethod(linear.Name);
}
//Tanh
Tanh tanh = new Tanh();
if (verbose)
{
RILogManager.Default?.EnterMethod(tanh.Name);
}
sw.Restart();
gradArrayCpu = tanh.Forward(verbose, inputArrayCpu);
sw.Stop();
if (verbose)
{
RILogManager.Default?.SendDebug("Forward [Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
}
gradArrayCpu[0].Grad = gradArrayCpu[0].Data;
sw.Restart();
tanh.Backward(verbose, gradArrayCpu);
sw.Stop();
if (verbose)
{
RILogManager.Default?.SendDebug("Backward[Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
}
if (tanh.SetGpuEnable(true))
{
HandleGPU(verbose, sw, tanh, inputArrayGpu);
}
if (verbose)
{
RILogManager.Default?.ExitMethod(tanh.Name);
}
//Sigmoid
Sigmoid sigmoid = new Sigmoid();
if (verbose)
{
RILogManager.Default?.EnterMethod(sigmoid.Name);
}
sw.Restart();
gradArrayCpu = sigmoid.Forward(verbose, inputArrayCpu);
sw.Stop();
if (verbose)
{
RILogManager.Default?.SendDebug("Forward [Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
}
gradArrayCpu[0].Grad = gradArrayCpu[0].Data;
sw.Restart();
sigmoid.Backward(verbose, gradArrayCpu);
sw.Stop();
if (verbose)
{
RILogManager.Default?.SendDebug("Backward[Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
}
if (sigmoid.SetGpuEnable(true))
{
HandleGPU(verbose, sw, sigmoid, inputArrayGpu);
}
if (verbose)
{
RILogManager.Default?.ExitMethod(tanh.Name);
}
//Softmax
Softmax sm = new Softmax();
RILogManager.Default?.EnterMethod(sm.Name);
sw.Restart();
gradArrayCpu = sm.Forward(verbose, inputArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Forward [Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
gradArrayCpu[0].Grad = gradArrayCpu[0].Data;
sw.Restart();
sm.Backward(verbose, gradArrayCpu);
sw.Stop();
if (verbose)
{
RILogManager.Default?.SendDebug("Backward[Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
}
if (verbose)
{
RILogManager.Default?.ExitMethod(sm.Name);
}
//Softplus
Softplus sp = new Softplus();
if (verbose)
{
RILogManager.Default?.EnterMethod(sp.Name);
}
sw.Restart();
gradArrayCpu = sp.Forward(verbose, inputArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Forward [Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
gradArrayCpu[0].Grad = gradArrayCpu[0].Data;
sw.Restart();
sp.Backward(verbose, gradArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Backward[Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
RILogManager.Default?.ExitMethod(sp.Name);
//ReLU
ReLU relu = new ReLU();
RILogManager.Default?.EnterMethod(relu.Name);
sw.Restart();
gradArrayCpu = relu.Forward(verbose, inputArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Forward [Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
gradArrayCpu[0].Grad = gradArrayCpu[0].Data;
sw.Restart();
relu.Backward(verbose, gradArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Backward[Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
if (relu.SetGpuEnable(true))
{
HandleGPU(verbose, sw, relu, inputArrayGpu);
}
RILogManager.Default?.ExitMethod(relu.Name);
//LeakyReLU
LeakyReLU leakyRelu = new LeakyReLU();
RILogManager.Default?.EnterMethod(leakyRelu.Name);
sw.Restart();
gradArrayCpu = leakyRelu.Forward(verbose, inputArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Forward [Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
gradArrayCpu[0].Grad = gradArrayCpu[0].Data;
sw.Restart();
leakyRelu.Backward(verbose, gradArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Backward[Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
if (leakyRelu.SetGpuEnable(true))
{
HandleGPU(verbose, sw, leakyRelu, inputArrayGpu);
}
RILogManager.Default?.ExitMethod(leakyRelu.Name);
//ReLuTanh
ReLuTanh rth = new ReLuTanh();
RILogManager.Default?.EnterMethod(rth.Name);
sw.Restart();
gradArrayCpu = rth.Forward(verbose, inputArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Forward [Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
gradArrayCpu[0].Grad = gradArrayCpu[0].Data;
sw.Restart();
rth.Backward(verbose, gradArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Backward[Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
if (rth.SetGpuEnable(true))
{
HandleGPU(verbose, sw, rth, inputArrayGpu);
}
RILogManager.Default?.ExitMethod(rth.Name);
////Swish
//Swish swi = new Swish();
//RILogManager.Default?.SendDebug(swi.Name);
//sw.Restart();
//gradArrayCpu = swi.Forward(inputArrayCpu);
//sw.Stop();
//RILogManager.Default?.SendDebug("Forward [Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
//gradArrayCpu[0].Grad = gradArrayCpu[0].Data;
//sw.Restart();
//swi.Backward(gradArrayCpu);
//sw.Stop();
//RILogManager.Default?.SendDebug("Backward[Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
NdArray inputImageArrayGpu = new NdArray(BenchDataMaker.GetRealArray(3 * 256 * 256 * 5), new[] { 3, 256, 256 }, 5);
NdArray inputImageArrayCpu = new NdArray(BenchDataMaker.GetRealArray(3 * 256 * 256 * 5), new[] { 3, 256, 256 }, 5);
//MaxPooling
MaxPooling maxPooling = new MaxPooling(3);
RILogManager.Default?.EnterMethod(maxPooling.Name);
sw.Restart();
NdArray[] gradImageArrayCpu = maxPooling.Forward(verbose, inputImageArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Forward [Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
gradImageArrayCpu[0].Grad = gradImageArrayCpu[0].Data;
sw.Restart();
maxPooling.Backward(verbose, gradImageArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Backward[Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
if (maxPooling.SetGpuEnable(true))
{
sw.Restart();
maxPooling.Forward(verbose, inputImageArrayGpu);
sw.Stop();
RILogManager.Default?.SendDebug("Forward [Gpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
// There is no implementation for memory transfer only
RILogManager.Default?.SendDebug("Backward[Gpu] : None");
}
RILogManager.Default?.ExitMethod(maxPooling.Name);
//AvgPooling
AveragePooling avgPooling = new AveragePooling(3);
RILogManager.Default?.EnterMethod(avgPooling.Name);
sw.Restart();
gradImageArrayCpu = avgPooling.Forward(verbose, inputImageArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Forward [Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
gradImageArrayCpu[0].Grad = gradImageArrayCpu[0].Data;
sw.Restart();
avgPooling.Backward(verbose, gradImageArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Backward[Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
RILogManager.Default?.ExitMethod(avgPooling.Name);
//Conv2D
Convolution2D conv2d = new Convolution2D(verbose, 3, 3, 3);
RILogManager.Default?.EnterMethod(conv2d.Name);
sw.Restart();
gradImageArrayCpu = conv2d.Forward(verbose, inputImageArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Forward [Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
gradImageArrayCpu[0].Grad = gradImageArrayCpu[0].Data;
sw.Restart();
conv2d.Backward(verbose, gradImageArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Backward[Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
if (conv2d.SetGpuEnable(true))
{
HandleGPU(verbose, sw, conv2d, inputArrayGpu);
}
RILogManager.Default?.ExitMethod(conv2d.Name);
//Deconv2D
Deconvolution2D deconv2d = new Deconvolution2D(verbose, 3, 3, 3);
RILogManager.Default?.EnterMethod(deconv2d.Name);
sw.Restart();
gradImageArrayCpu = deconv2d.Forward(verbose, inputImageArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Forward [Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
gradImageArrayCpu[0].Grad = gradImageArrayCpu[0].Data;
sw.Restart();
deconv2d.Backward(verbose, gradImageArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Backward[Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
if (deconv2d.SetGpuEnable(true))
{
HandleGPU(verbose, sw, deconv2d, inputArrayGpu);
}
RILogManager.Default?.ExitMethod(deconv2d.Name);
//Dropout
Dropout dropout = new Dropout();
RILogManager.Default?.EnterMethod(dropout.Name);
sw.Restart();
gradArrayCpu = dropout.Forward(verbose, inputArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Forward [Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
gradArrayCpu[0].Grad = gradArrayCpu[0].Data;
sw.Restart();
dropout.Backward(verbose, gradArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Backward[Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
if (dropout.SetGpuEnable(true))
{
sw.Restart();
NdArray[] gradArrayGpu = dropout.Forward(verbose, inputArrayGpu);
sw.Stop();
RILogManager.Default?.SendDebug("Forward [Gpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
gradArrayGpu[0].Grad = gradArrayGpu[0].Data;
sw.Restart();
dropout.Backward(verbose, gradArrayGpu);
sw.Stop();
RILogManager.Default?.SendDebug("Backward[Gpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
}
RILogManager.Default?.ExitMethod(dropout.Name);
//ArcSinH
ArcSinH a = new ArcSinH();
RILogManager.Default?.EnterMethod(a.Name);
sw.Restart();
gradArrayCpu = a.Forward(verbose, inputArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Forward [Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
gradArrayCpu[0].Grad = gradArrayCpu[0].Data;
sw.Restart();
a.Backward(verbose, gradArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Backward[Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
if (a.SetGpuEnable(true))
{
HandleGPU(verbose, sw, a, inputArrayGpu);
}
RILogManager.Default?.ExitMethod(a.Name);
//ELU
ELU e = new ELU();
RILogManager.Default?.EnterMethod(e.Name);
sw.Restart();
gradArrayCpu = e.Forward(verbose, inputArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Forward [Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
gradArrayCpu[0].Grad = gradArrayCpu[0].Data;
sw.Restart();
e.Backward(verbose, gradArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Backward[Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
RILogManager.Default?.ExitMethod(e.Name);
//LeakyReluShifted
LeakyReLUShifted lrs = new LeakyReLUShifted();
RILogManager.Default?.EnterMethod(lrs.Name);
sw.Restart();
gradArrayCpu = lrs.Forward(verbose, inputArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Forward [Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
gradArrayCpu[0].Grad = gradArrayCpu[0].Data;
sw.Restart();
lrs.Backward(verbose, gradArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Backward[Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
if (lrs.SetGpuEnable(true))
{
HandleGPU(verbose, sw, lrs, inputArrayGpu);
}
RILogManager.Default?.ExitMethod(lrs.Name);
//Logistic
LogisticFunction lf = new LogisticFunction();
RILogManager.Default?.EnterMethod(lf.Name);
sw.Restart();
gradArrayCpu = lf.Forward(verbose, inputArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Forward [Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
gradArrayCpu[0].Grad = gradArrayCpu[0].Data;
sw.Restart();
lf.Backward(verbose, gradArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Backward[Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
if (lf.SetGpuEnable(true))
{
HandleGPU(verbose, sw, lf, inputArrayGpu);
}
RILogManager.Default?.ExitMethod(lf.Name);
//MaxMinusOne
MaxMinusOne mmo = new MaxMinusOne();
RILogManager.Default?.EnterMethod(mmo.Name);
sw.Restart();
gradArrayCpu = mmo.Forward(verbose, inputArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Forward [Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
gradArrayCpu[0].Grad = gradArrayCpu[0].Data;
sw.Restart();
mmo.Backward(verbose, gradArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Backward[Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
if (mmo.SetGpuEnable(true))
{
HandleGPU(verbose, sw, mmo, inputArrayGpu);
}
RILogManager.Default?.ExitMethod(mmo.Name);
//ScaledELU
ScaledELU se = new ScaledELU();
RILogManager.Default?.EnterMethod(se.Name);
sw.Restart();
gradArrayCpu = se.Forward(verbose, inputArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Forward [Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
gradArrayCpu[0].Grad = gradArrayCpu[0].Data;
sw.Restart();
se.Backward(verbose, gradArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Backward[Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
if (se.SetGpuEnable(true))
{
HandleGPU(verbose, sw, se, inputArrayGpu);
}
RILogManager.Default?.ExitMethod(se.Name);
//Sine
Sine s = new Sine();
RILogManager.Default?.EnterMethod(s.Name);
sw.Restart();
gradArrayCpu = s.Forward(verbose, inputArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Forward [Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
gradArrayCpu[0].Grad = gradArrayCpu[0].Data;
sw.Restart();
s.Backward(verbose, gradArrayCpu);
sw.Stop();
RILogManager.Default?.SendDebug("Backward[Cpu] : " + (sw.ElapsedTicks / (Stopwatch.Frequency / (1000L * 1000L))).ToString("n0") + "μｓ");
if (s.SetGpuEnable(true))
{
HandleGPU(verbose, sw, s, inputArrayGpu);
}
RILogManager.Default?.ExitMethod(s.Name);
}