public void Infer(FullyConnected layer, FullyConnectedLayerArgument argument, InferenceContext context)
{
var inputAlloc = context.MainMemoryMap[layer.Input.Connection.From];
var outputAlloc = context.MainMemoryMap[layer.Output];
argument.MainMemoryInputAddress = inputAlloc.GetAddress();
argument.MainMemoryOutputAddress = outputAlloc.GetAddress();
}
public void Forward(FullyConnectedLayerArgument argument, ForwardContext context)
{
var src = MemoryMarshal.Cast<byte, float>(context.GetMainRamAt((int)argument.MainMemoryInputAddress));
var dest = MemoryMarshal.Cast<byte, float>(context.GetMainRamAt((int)argument.MainMemoryOutputAddress));
for (int oc = 0; oc < argument.OutputChannels; oc++)
{
var weights = new ReadOnlySpan<float>(argument.Weights, (int)(oc * argument.InputChannels), (int)argument.InputChannels);
float sum = 0;
for (int ic = 0; ic < argument.InputChannels; ic++)
sum += src[ic] * weights[ic];
dest[oc] = sum + argument.Bias[oc];
}
}
public FullyConnectedLayerArgument DeserializeBin(int offset, K210BinDeserializeContext context)
{
var sr = context.GetReaderAt(offset);
var argument = new FullyConnectedLayerArgument();
argument.Flags = sr.Read<K210LayerFlags>();
argument.MainMemoryInputAddress = sr.Read<uint>();
argument.MainMemoryOutputAddress = sr.Read<uint>();
argument.InputChannels = sr.Read<uint>();
argument.OutputChannels = sr.Read<uint>();
argument.Activation = sr.Read<ActivationFunctionType>();
argument.Weights = MemoryMarshal.Cast<byte, float>(sr.ReadAsSpan((int)(argument.InputChannels * argument.OutputChannels * 4))).ToArray();
argument.Bias = MemoryMarshal.Cast<byte, float>(sr.ReadAsSpan((int)(argument.OutputChannels * 4))).ToArray();
return argument;
}
