public override InternalArray Forward(InternalArray ar)
{
ar = bn.Forward(ar);
if (ar.Data != null && ar.Data.Any(z => float.IsInfinity(z) || float.IsNaN(z)))
{
}
if (ar.QIntData != null)
{
return(binop.fpbin_conv2d(ar, Weight, Bias, Alpha, kernelSize, stride, padding));;
}
var ret = binop.bin_conv2d(ar, Weight, Bias, Alpha, kernelSize, stride, padding);
if (ar.Data != null && ret.Data.Any(z => float.IsInfinity(z) || float.IsNaN(z)))
{
}
return(ret);
}
public override InternalArray Forward(InternalArray ar)
{
results.Clear();
results.Add(new LogInfo(null, ar.Clone(), "input"));
ar = conv1.Forward(ar);
results.Add(new LogInfo(conv1, ar.Clone()));
ar = bn1.Forward(ar);
results.Add(new LogInfo(bn1, ar.Clone()));
ar = Relu(ar);
results.Add(new LogInfo(null, ar.Clone(), "relu1"));
ar = pool1.Forward(ar);
results.Add(new LogInfo(pool1, ar.Clone()));
if (ar.Data.Any(z => float.IsInfinity(z) || float.IsNaN(z)))
{
}
ar = conv2.Forward(ar);
results.Add(new LogInfo(conv2, ar.Clone(), "BinConv2D conv2"));
if (ar.Data.Any(z => float.IsInfinity(z) || float.IsNaN(z)))
{
}
ar = bn2.Forward(ar);
results.Add(new LogInfo(bn2, ar.Clone()));
ar = Relu(ar);
results.Add(new LogInfo(null, ar.Clone(), "relu2"));
ar = pool2.Forward(ar);
results.Add(new LogInfo(pool2, ar.Clone()));
var ar2 = new InternalArray(new int[] { 1, 4 * 4 * 50 });
for (int i = 0; i < ar.Data.Length; i++)
{
ar2.Data[i] = ar.Data[i];
}
results.Add(new LogInfo(null, ar.Clone(), "view"));
ar = fc1.Forward(ar2);
results.Add(new LogInfo(fc1, ar.Clone(), "BinLinear fc1"));
ar = bn3.Forward(ar);
results.Add(new LogInfo(bn3, ar.Clone()));
ar = Relu(ar);
results.Add(new LogInfo(null, ar.Clone(), "relu3"));
//input 500
ar = fc2.Forward(ar);
results.Add(new LogInfo(fc1, ar.Clone()));
//output 10
//output size should be [1,10]
results.Add(new LogInfo(null, ar.Clone(), "output"));
return(ar);
}
