我试图继续使用MQL5中的OpenCL .

我尝试过以下方法：
My GPU-kernel program :

kernel void SMA_executeSMA(float ExtLineBufferi_1, float price1,float price2, int InpMAPeriod, __global float *output)
{
   int len = get_global_id(1);
   output[len] = ExtLineBufferi_1 + (price1 - price2)/InpMAPeriod;
}

GPU-kernel Execution :

void executeSMA(int limit, int rates_total, const double &price[])
{
   int cl_output = CLBufferCreate(cl_ctx,1*sizeof(float),CL_MEM_READ_WRITE);
   float temp_output_as_float[];
   ArrayResize(temp_output_as_float,ArraySize(price));

   Check_Memory_Initialization(cl_output,cl_CommonKernel1,"executeSMA function");
   CLSetKernelArg(cl_CommonKernel1,3,InpMAPeriod);
   CLSetKernelArgMem(cl_CommonKernel1,4,cl_output);
   for(int i=limit;i<rates_total && !IsStopped();i++)
   {
      CLSetKernelArg(cl_CommonKernel1,0,(float)ExtLineBuffer[i-1]);
      CLSetKernelArg(cl_CommonKernel1,1,(float)price[i]);
      CLSetKernelArg(cl_CommonKernel1,2,(float)price[i-InpMAPeriod]);
      CLExecute(cl_CommonKernel1,CUDA_CORE,offset,work);

      //ExtLineBuffer[i] = (double)temp_output_as_float[0];

      //Print(ExtLineBuffer[i]);
      //ArrayPrint(ExtLineBuffer);

   }
   CLBufferRead(cl_output,temp_output_as_float);
   ArrayPrint(temp_output_as_float);
   ArrayCopy(ExtLineBuffer,temp_output_as_float);

  CLBufferFree(cl_output);
}

首先，我没有看到输出，因此我试图打印收到的值，他们是可怕的 .

看一看 ：

2018.05.17 16:57:09.122 [   130]  -1.52993219472835656E+30   65762250018783232.00000                  +0.00000                  +0.00000              -12210.34766
2018.05.17 16:57:09.122 [   135]                  -0.00000         52789604352.00000                  -0.00000                  -0.00000                  +0.00000
2018.05.17 16:57:09.122 [   140]                  +0.00000   3.63274742468334127E+33                   0.00164              -15064.41504   3.81201777719114223E+31
2018.05.17 16:57:09.122 [   145]  -2.08007761411320351E+30   1.09393519416171176E+33   3.65208085768979492E+26                  +0.00000   4.02907890816376635E+20
2018.05.17 16:57:09.122 [   150]                   0.05321  -4.04696761050396099E+19   52162858846257152.00000   4.35782820014886955E+30          -101985552.00000
2018.05.17 16:57:09.122 [   155]      -1357115162624.00000                  -0.00000   9.69987852353929216E+17  -4.08771377928525016E+27               -1508.35950
2018.05.17 16:57:09.122 [   160]  -3.75750553631447475E+34                  +0.00000  -1.14407317793544081E+25                  +0.00000                  +0.00000
2018.05.17 16:57:09.122 [   165]                   0.00000   1.00636449569426391E+31                  +0.00000   1.00745736463519553E+31                  +0.00000
2018.05.17 16:57:09.122 [   170]                   0.00000                   0.00000                   0.00000                  +0.00000                  +0.00000
2018.05.17 16:57:09.122 [   175]                  -0.00000                      -nan                  -0.00000   4.66067614346858278E+26                  -0.00000
2018.05.17 16:57:09.122 [   180]     101861180833792.00000            -5438716.50000                  -0.00000                  -0.00000                   0.00392
2018.05.17 16:57:09.122 [   185]   2.20188484451444982E+19                  -0.00000                  -0.00000                  -0.00000  -1.36779461243699200E+17
2018.05.17 16:57:09.122 [   190]                  -0.00000                  -0.00000   2.78185773515439493E+26                 572.76062       5379800432640.00000
2018.05.17 16:57:09.122 [   195]   5.03024135461499105E+29   4.89968494738145280E+18                  -0.00000   1.41897647324680016E+25                  -0.00000
2018.05.17 16:57:09.122 [   200]                  +0.00000   2.29293931121773089E+33                  +0.00000                  -0.00000         -1024160384.00000
2018.05.17 16:57:09.122 [   205]                  +0.00000  -8.51650283897900189E+27  -1.70224724395179630E+27               -1336.28491                  -0.37853
2018.05.17 16:57:09.122 [   210]   9.31834169399695114E+20                 215.54121     -30563845013504.00000                  -0.00006                  +0.00000
2018.05.17 16:57:09.122 [   215]                 -58.68730  -4.70151723484777573E+27  -4.93228151330119772E+22    -683407008858112.00000  -2.40153189121636035E+23

这是MQL5语言的 CustomIndicator -indicator，我正在尝试使用OpenCL减少GPU对CPU的处理 .

上面的数字清楚地表明我错过了返回数组的变量的分配 .

请稍微看看，并建议我可能的出路，以便我可以获得GPU计算指标 .

EDITED ：
其中一个重要的代码：

#define CUDA_CORE 2
int c = 1;

     ArrayFill(work,0,CUDA_CORE,c);
     //ArrayInitialize(offset,0);
     int enter = -c;
     for (int i =0; i <  CUDA_CORE; i++)
     {
      offset[i] = enter +  c;
      enter = offset[i];
     }
kernel opencl gpu mql5