public void Infer(TensorflowFlatten layer, TensorflowFlattenLayerArgument argument, InferenceContext context)
{
var inputAlloc = context.MainMemoryMap[layer.Input.Connection.From];
var outputAlloc = context.MainMemoryMap[layer.Output];
argument.Flags = K210LayerFlags.MainMemoryOutput;
argument.MainMemoryInputAddress = inputAlloc.GetAddress();
argument.MainMemoryOutputAddress = outputAlloc.GetAddress();
}
public TensorflowFlattenLayerArgument DeserializeBin(int offset, K210BinDeserializeContext context)
{
var sr = context.GetReaderAt(offset);
var argument = new TensorflowFlattenLayerArgument();
argument.Flags = sr.Read <K210LayerFlags>();
argument.MainMemoryInputAddress = sr.Read <uint>();
argument.MainMemoryOutputAddress = sr.Read <uint>();
argument.Width = sr.Read <uint>();
argument.Height = sr.Read <uint>();
argument.Channels = sr.Read <uint>();
return(argument);
}
public void Forward(TensorflowFlattenLayerArgument 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));
int i = 0;
for (int oy = 0; oy < argument.Height; oy++)
{
for (int ox = 0; ox < argument.Width; ox++)
{
for (int oc = 0; oc < argument.Channels; oc++)
{
dest[i++] = src[(int)((oc * argument.Height + oy) * argument.Width + ox)];
}
}
}
}