unsafe public void calculate_deltaQD_TOP(Layer_Output_Deriv_QD_PairTOP output, int batchsize)
{
if (dnn_model_query.neurallinks.Last().NeuralLinkModel.Af == A_Func.Tanh)
{
MathOperatorManager.GlobalInstance.Deriv_Cosine(dnn_model_query.neurallayers.Last().Output, dnn_model_doc.neurallayers.Last().Output,
output.cuda_layer_Deriv_Q, output.cuda_layer_Deriv_D,
batchsize, dnn_model_query.OutputLayerSize, ParameterSetting.DSSMEpsilon);
}
else if (dnn_model_query.neurallinks.Last().NeuralLinkModel.Af == A_Func.Linear)
{
MathOperatorManager.GlobalInstance.Derive_Cosine_Linear(dnn_model_query.neurallayers.Last().Output, dnn_model_doc.neurallayers.Last().Output,
output.cuda_layer_Deriv_Q, output.cuda_layer_Deriv_D,
batchsize, dnn_model_query.OutputLayerSize, ParameterSetting.DSSMEpsilon);
}
}
void Init(DNN dnn_query, DNN dnn_doc)
{
dnn_model_query = new DNNRun(dnn_query);
dnn_model_doc = new DNNRun(dnn_doc);
Pos_QD_Pair_TOP = new Layer_Output_Deriv_QD_PairTOP(dnn_query, dnn_doc);
Neg_QD_Pair_TOP = new Layer_Output_Deriv_QD_PairTOP_Full(dnn_query, dnn_doc, ParameterSetting.NTRIAL);
alphaCudaPiece = new CudaPieceFloat(ParameterSetting.BATCH_SIZE * (ParameterSetting.NTRIAL + 1), true, true);
distCudaPiece = new CudaPieceFloat(ParameterSetting.BATCH_SIZE * (ParameterSetting.NTRIAL + 1), true, true);
GPU_negative_index_Array = new CudaPieceInt(ParameterSetting.NTRIAL * ParameterSetting.BATCH_SIZE, true, true);
GPU_Inver_negative_index_Array = new CudaPieceInt(ParameterSetting.NTRIAL * ParameterSetting.BATCH_SIZE, true, true);
GPU_Inver_negative_value_Array = new CudaPieceInt(ParameterSetting.NTRIAL * ParameterSetting.BATCH_SIZE, true, true);
if (ParameterSetting.PSEUDO_RANDOM)
{
neg_random = new Random(ParameterSetting.RANDOM_SEED);
}
}
