Exemple #1
0
        public static void SingleOutputBackward(NdArray <Real> y, NdArray <Real> x, NdArray <Real> mask, NdArray <Real> weight, NdArray <Real> bias, ComputeKernel backwardgWKernel, ComputeKernel backwardgXKernel, ICompressibleActivation <Real> activation)
        {
            NdArray <Real> maskedWeight = weight * mask;

            maskedWeight.InitGrad();//MaskedWeightはOptimizerの対象にならない非パラメータの為初期化が必要

            SingleOutputBackward(y, x, maskedWeight, bias, backwardgWKernel, backwardgXKernel, activation);

            for (int i = 0; i < weight.Data.Length; i++)
            {
                mask.Grad[i]    = maskedWeight.Grad[i];                //マスク前の重みの傾きをマスクの傾きへ退避
                weight.Grad[i] += mask.Data[i] * maskedWeight.Grad[i]; //マスクした傾きを適用
            }
        }