public void Filler_Uniform(double min, double max)
{
var blob = new Tensor(2, 3, 4, 5);
var config = new UniformFillerConfiguration(min, max);
var filler = new UniformFiller(config);
filler.Fill(blob);
using (var blobCpu = blob.OnCpu())
{
int count = blob.Count;
var data = blobCpu.Data;
for (int i = 0; i < count; i++)
{
Assert.True(data[i] >= min);
Assert.True(data[i] <= max);
}
}
}
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 Filler_Uniform(double min, double max)
{
var blob = new Tensor(2, 3, 4, 5);
var config = new UniformFillerConfiguration(min, max);
var filler = new UniformFiller(config);
filler.Fill(blob);
using (var blobCpu = blob.OnCpu())
{
int count = blob.Count;
var data = blobCpu.Data;
for (int i = 0; i < count; i++)
{
Assert.True(data[i] >= min);
Assert.True(data[i] <= max);
}
}
}
