private void load(StreamReader sr, InnerProductLayer <T> layer)
{
for (int i = 0; i < layer.blobs.Count; i++)
{
List <float> rgf = new List <float>();
string strLine = sr.ReadLine();
string[] rgstr = strLine.Split(',');
for (int j = 0; j < rgstr.Length; j++)
{
rgf.Add(BaseParameter.ParseFloat(rgstr[j]));
}
layer.blobs[i].mutable_cpu_data = Utility.ConvertVec <T>(rgf.ToArray());
}
for (int i = 0; i < layer.internal_blobs.Count; i++)
{
List <float> rgf = new List <float>();
string strLine = sr.ReadLine();
string[] rgstr = strLine.Split(',');
for (int j = 0; j < rgstr.Length; j++)
{
rgf.Add(BaseParameter.ParseFloat(rgstr[j]));
}
layer.internal_blobs[i].mutable_cpu_data = Utility.ConvertVec <T>(rgf.ToArray());
}
}
private void save(StreamWriter sw, InnerProductLayer <T> layer)
{
for (int i = 0; i < layer.blobs.Count; i++)
{
float[] rgf = Utility.ConvertVecF <T>(layer.blobs[i].mutable_cpu_data);
string strLine = "";
for (int j = 0; j < rgf.Length; j++)
{
strLine += rgf[j].ToString() + ",";
}
sw.WriteLine(strLine.TrimEnd(','));
}
for (int i = 0; i < layer.internal_blobs.Count; i++)
{
float[] rgf = Utility.ConvertVecF <T>(layer.internal_blobs[i].mutable_cpu_data);
string strLine = "";
for (int j = 0; j < rgf.Length; j++)
{
strLine += rgf[j].ToString() + ",";
}
sw.WriteLine(strLine.TrimEnd(','));
}
}
public void InnerProductLayer_BackwardGradient(int output, FillerConfiguration weightsFiller, FillerConfiguration biasFiller)
{
bool useBias = biasFiller != null;
var config = new InnerProductLayerConfiguration(output, useBias, weightsFiller, biasFiller);
var layer = new InnerProductLayer(config);
var checker = new GradientChecker(1e-4f, 1e-3f);
checker.CheckExhaustive(layer, bottom, top);
}
public void InnerProductLayer_BackwardGradient(int output, FillerConfiguration weightsFiller, FillerConfiguration biasFiller)
{
bool useBias = biasFiller != null;
var config = new InnerProductLayerConfiguration(output, useBias, weightsFiller, biasFiller);
var layer = new InnerProductLayer(config);
var checker = new GradientChecker(1e-4f, 1e-3f);
checker.CheckExhaustive(layer, bottom, top);
}
public void InnerProductLayer_Setup()
{
var config = new InnerProductLayerConfiguration(10);
var layer = new InnerProductLayer(config);
layer.Setup(bottom, top);
Assert.Equal(2, top.Num);
Assert.Equal(10, top.Channels);
Assert.Equal(1, top.Height);
Assert.Equal(1, top.Width);
}
public void InnerProductLayer_Forward()
{
var weightsFiller = new UniformFillerConfiguration(0, 1);
var biasFiller = new UniformFillerConfiguration(1, 2);
var config = new InnerProductLayerConfiguration(10, true, weightsFiller, biasFiller);
var layer = new InnerProductLayer(config);
layer.Setup(bottom, top);
layer.Forward(bottom, top);
using (var topCpu = top.OnCpu())
{
int count = top.Count;
for (int i = 0; i < count; i++)
Assert.True(topCpu.DataAt(i) >= 1f);
}
}
public void InnerProductLayer_Forward()
{
var weightsFiller = new UniformFillerConfiguration(0, 1);
var biasFiller = new UniformFillerConfiguration(1, 2);
var config = new InnerProductLayerConfiguration(10, true, weightsFiller, biasFiller);
var layer = new InnerProductLayer(config);
layer.Setup(bottom, top);
layer.Forward(bottom, top);
using (var topCpu = top.OnCpu())
{
int count = top.Count;
for (int i = 0; i < count; i++)
{
Assert.True(topCpu.DataAt(i) >= 1f);
}
}
}
public void InnerProductLayer_Setup()
{
var config = new InnerProductLayerConfiguration(10);
var layer = new InnerProductLayer(config);
layer.Setup(bottom, top);
Assert.Equal(2, top.Num);
Assert.Equal(10, top.Channels);
Assert.Equal(1, top.Height);
Assert.Equal(1, top.Width);
}
