public void Update(NnGpuWin nnGpuWinInstance, int layerIndex)
{
uint averageTimeMs = 0;
double averageBytes = 0;
nnGpuWinInstance.GetLayerPerformanceData(layerIndex, out averageTimeMs, out averageBytes);
NnGpuLayerDataGroup laterDataGroup = nnGpuWinInstance.GetLayerData(layerIndex);
BackwardSum = "Sum: " + laterDataGroup.GetLayerOfType(NnGpuLayerDataType.Backward).Sum();
ForwardSum = "Sum: " + laterDataGroup.GetLayerOfType(NnGpuLayerDataType.Forward).Sum();
double largest = laterDataGroup.GetLayerOfType(NnGpuLayerDataType.Forward).GetLargestDataValue();
double smallest = laterDataGroup.GetLayerOfType(NnGpuLayerDataType.Forward).GetSmallestDataValue();
ImageContainer.Children.Clear();
BackwardImageContainer.Children.Clear();
NnGpuLayerData forward = laterDataGroup.GetLayerOfType(NnGpuLayerDataType.Forward);
BitmapSource imageSource = forward.ToImage();
Image image = new Image();
//image.Width = 25 * forward.depth;
image.Height = 25;
image.Stretch = Stretch.Fill;
image.Source = imageSource;
ImageContainer.Children.Add(image);
NnGpuLayerData backward = laterDataGroup.GetLayerOfType(NnGpuLayerDataType.Backward);
BitmapSource backwardImageSource = backward.ToDepthImage();
Image backwardImage = new Image();
backwardImage.Width = 25 * backward.depth;
backwardImage.Height = 25;
backwardImage.Stretch = Stretch.Fill;
backwardImage.Source = backwardImageSource;
BackwardImageContainer.Children.Add(backwardImage);
}
public void Update(NnGpuWin nnGpuWinInstance, int layerIndex)
{
uint averageTimeMs = 0;
double averageBytes = 0;
nnGpuWinInstance.GetLayerPerformanceData(layerIndex, out averageTimeMs, out averageBytes);
Performance timer = new Performance();
timer.Start();
NnGpuLayerDataGroup laterDataGroup = nnGpuWinInstance.GetLayerData(layerIndex);
double largest = laterDataGroup.GetLayerOfType(NnGpuLayerDataType.Forward).GetLargestDataValue();
double smallest = laterDataGroup.GetLayerOfType(NnGpuLayerDataType.Forward).GetSmallestDataValue();
BackwardSum = "Sum: " + laterDataGroup.GetLayerOfType(NnGpuLayerDataType.Backward).Sum();
ForwardSum = "Sum: " + laterDataGroup.GetLayerOfType(NnGpuLayerDataType.Forward).Sum();
ImageContainer.Children.Clear();
FilterImageContainer.Children.Clear();
BackwardsImageContainer.Children.Clear();
NnGpuLayerData forward = laterDataGroup.GetLayerOfType(NnGpuLayerDataType.Forward);
BitmapSource imageSource = forward.ToDepthImage();
Image image = new Image();
image.Width = 25 * forward.depth;
image.Height = 25;
image.Stretch = Stretch.Fill;
image.Source = imageSource;
ImageContainer.Children.Add(image);
NnGpuLayerData backward = laterDataGroup.GetLayerOfType(NnGpuLayerDataType.Backward);
BitmapSource backwardsImageSource = backward.ToDepthImage();
Image backwardsImage = new Image();
if (backward.depth == 1)
{
backwardsImage.Width = backward.width;
}
else
{
backwardsImage.Width = 25 * backward.depth;
}
backwardsImage.Height = 25;
backwardsImage.Stretch = Stretch.Fill;
backwardsImage.Source = backwardsImageSource;
BackwardsImageContainer.Children.Add(backwardsImage);
NnGpuLayerData[] filterLayers = laterDataGroup.GetLayersOfType(NnGpuLayerDataType.ConvForwardFilter);
for (int filterIndex = 0; filterIndex < filterLayers.Length; filterIndex++)
{
Image filterImage = new Image();
filterImage.Width = 25;
filterImage.Height = 25;
filterImage.Stretch = Stretch.Fill;
filterImage.Source = filterLayers[filterIndex].ToImage();
FilterImageContainer.Children.Add(filterImage);
}
long ms = timer.Stop();
}
