public GlobalAveragePool2dLayerArgument Convert(GlobalAveragePool layer, ConvertContext context)
{
return(new GlobalAveragePool2dLayerArgument
{
KernelSize = (uint)(layer.Input.Dimensions[2] * layer.Input.Dimensions[3]),
Channels = (uint)(layer.Input.Dimensions[1])
});
}
public void Infer(GlobalAveragePool layer, GlobalAveragePool2dLayerArgument 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 override void Process(TransformContext context)
{
var avgPool = (AveragePool2d)context.MatchedLayers[0];
var input = avgPool.Input.Connection.From;
var output = avgPool.Output;
avgPool.Input.ClearConnection();
var newAvg = new GlobalAveragePool(input.Dimensions);
newAvg.Input.SetConnection(input);
var oldOuts = output.Connections.Select(o => o.To).ToList();
foreach (var oldOut in oldOuts)
{
oldOut.SetConnection(newAvg.Output);
}
}
private Layer ConvertMean(tflite.Operator op)
{
var inputs = op.GetInputsArray();
var input = _graph.Tensors(inputs[0]).Value;
var axes = _model.GetTensor <int>(_graph.Tensors(inputs[1]).Value);
if (axes.ToArray().SequenceEqual(new[] { 1, 2 }))
{
var layer = new GlobalAveragePool(input.GetShapeArray().ToNCHW());
_inputs.Add(layer.Input, inputs[0]);
var reshape = new Reshape(layer.Output.Dimensions, new[] { -1, layer.Output.Dimensions[1] });
reshape.Input.SetConnection(layer.Output);
_outputs.Add(op.Outputs(0), layer.Output);
return(reshape);
}
else
{
throw new LayerNotSupportedException(op.ToString(), "Only [1,2] axis mean is supported");
}
}
