//TODO figure out batching for a CNN
public ConvolutionalLayer(ConvolutionalLayerProps props, ActivationFunctions activationFunction, uint batches = 1, bool outputLayer = false)
: base((uint)props.ConvolutionalOutputs, 0, activationFunction, batches, outputLayer)
{
Props = props;
InputSegment = new float[props.InputRows][];
for (int i = 0; i < InputSegment.Length; i++)
{
InputSegment[i] = new float[props.InputCols];
}
FeatureMapProps featureProps = new FeatureMapProps(props);
FeatureMaps = new FeatureMap[props.NumberFeatures];
for (int f = 0; f < FeatureMaps.Length; f++)
{
FeatureMaps[f] = new FeatureMap(featureProps);
}
MaxPoolProps poolProps = new MaxPoolProps(props);
MaxPools = new MaxPool[props.NumberFeatures];
for (int p = 0; p < FeatureMaps.Length; p++)
{
MaxPools[p] = new MaxPool(poolProps);
}
}
public MaxPool(MaxPoolProps props)
{
Pool = new float[props.PoolRows][];
IndexPairs = new MaxPoolIndexPair[props.PoolRows][];
for (int i = 0; i < IndexPairs.Length; i++)
{
Pool[i] = new float[props.PoolCols];
IndexPairs[i] = new MaxPoolIndexPair[props.PoolCols];
for (int j = 0; j < IndexPairs[i].Length; j++)
{
IndexPairs[i][j] = new MaxPoolIndexPair();
}
}
}
