MathLayer.cs

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using MyCaffe.basecode;
using MyCaffe.common;
using MyCaffe.param;
 
namespace MyCaffe.layers
{
    public class MathLayer<T> : NeuronLayer<T>
    {
        public MathLayer(CudaDnn<T> cuda, Log log, LayerParameter p)
            : base(cuda, log, p)
        {
            m_type = LayerParameter.LayerType.MATH;
        }
 
        public override void LayerSetUp(BlobCollection<T> colBottom, BlobCollection<T> colTop)
        {
            base.LayerSetUp(colBottom, colTop);
        }
 
        protected override void forward(BlobCollection<T> colBottom, BlobCollection<T> colTop)
        {
            int nCount = colBottom[0].count();
            long hBottomData = colBottom[0].gpu_data;
            long hTopData = colTop[0].mutable_gpu_data;
 
            m_cuda.math_fwd(nCount, hBottomData, hTopData, m_param.math_param.function);
        }
 
        protected override void backward(BlobCollection<T> colTop, List<bool> rgbPropagateDown, BlobCollection<T> colBottom)
        {
            if (!rgbPropagateDown[0])
                return;
 
            int nCount = colBottom[0].count();
            long hTopData = colTop[0].gpu_data;
            long hTopDiff = colTop[0].gpu_diff;
            long hBottomDiff = colBottom[0].mutable_gpu_diff;
            long hBottomData = colBottom[0].gpu_data;
 
            m_cuda.math_bwd(nCount, hTopDiff, hTopData, hBottomDiff, hBottomData, m_param.math_param.function);
        }
    }
}