cuda - Read data in a proper way -


I have a CPP file where I am creating an image and storing the data on my output pointer: / P> 

  int rows = 80; Int Coles = 64; For (int i = 0; i & lt; rows; i ++) {for (int j = 0; j & lt; cols; j ++) {X = 1.0f * (float) i - (float ) Rows / 2) / (float) rows; Y = 2.0 F * (Float) j - (float) cols / 2) / (float) cells; ..... myOutput-> Ri = cough (......); MyOutput-> Im = sin (.......); ++ myOutput; }}   
 Again, in Kuda I am reading:   int bx = blockIdx.x, by = blockIdx.y; Int tx = threadIdx.x, ty = threadIdx.y; Int RowIdx = ty * * TILE_WIDTH; Int ColIdx = tx + bx * TILE_WIDTH; Index = roidx * coles + choledax; // Copy the input data for shared input memory [ty + 1] [tx + 1] = * (devInputArray + index);   
 (That's why, myOutput generated from CPP is loaded in devInputArray).  
 Now, I want to process several images at once.  
, in CPP, the following should be made (for example 2 images):  
  int ImagesNb = 2; For (Images ID = 0; Images IXx; Images; Images; Images Idx ++) {for (int i = 0; i   
 But now I'm not sure how to read data from Kuda.  
 I do not know how to keep in mind the number of images.  
 Earlier, I had an indicator that had data (80 x 64).  
 Now, it still has the same dimension of every image but with more data.  
 I have to change it:  
  index = rodex * coles + coled; // Copy the input data for shared input memory [ty + 1] [tx + 1] = * (devInputArray + index);  
  
  
 I'm trying to do something like this:  
  int bx = blockIdx.x, = blockIdx. Y, bz = blockIdx.z; Int tx = threadIdx.x, ty = threadIdx.y, tz = threadIdx.z; Int RowIdx = ty * * TILE_WIDTH; Int ColIdx = tx + bx * TILE_WIDTH; Int effects edx = tees + bez * blockdream; Index = Rueddx * Coles + Coleindex + Rows * Coles * Images   
 and:  
  Dim 3g Grid (images * * (call / TIDE / WIDTH) , ImageNB * (lines / TILE_WIDTH), images dim 3 dims (TILE_WIDTH, TILE_WIDTH, 2);   
 But if I try 2 images then I'm not getting the right result. .   
 
 
 Okay, to use multiple pictures, you have to share the number of pictures. A. will add an extra dimension to the variables.

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