52 #define bdx blockDim.x  macro
71         const int x = bx * (bdx - 2*polyN) + tx - polyN;  in polynomialExpansion()
80             row[bdx] = 0.f;  in polynomialExpansion()
81             row[2*bdx] = 0.f;  in polynomialExpansion()
89                 row[bdx] += c_xg[k] * (t1 - t0);  in polynomialExpansion()
90                 row[2*bdx] += c_xxg[k] * (t0 + t1);  in polynomialExpansion()
95             if (tx >= polyN && tx + polyN < bdx && x < width)  in polynomialExpansion()
98                 float b3 = c_g[0] * row[bdx];  in polynomialExpansion()
99                 float b5 = c_g[0] * row[2*bdx];  in polynomialExpansion()
107                     b3 += (row[k + bdx] + row[-k + bdx]) * c_g[k];  in polynomialExpansion()
108                     b6 += (row[k + bdx] - row[-k + bdx]) * c_xg[k];  in polynomialExpansion()
109                     b5 += (row[k + 2*bdx] + row[-k + 2*bdx]) * c_g[k];  in polynomialExpansion()
161         const int x = bx * bdx + tx;  in updateMatrices()
271         const int x = bx * bdx + tx;  in updateFlow()
362         const int x = bx * bdx + tx;  in boxFilter5()
366         const int smw = bdx + 2*ksizeHalf; // shared memory "width"  in boxFilter5()
372             for (int i = tx; i < bdx + 2*ksizeHalf; i += bdx)  in boxFilter5()
374                 int xExt = int(bx * bdx) + i - ksizeHalf;  in boxFilter5()
461         const int x = bx * bdx + tx;  in gaussianBlur()
464         volatile float *row = smem + ty * (bdx + 2*ksizeHalf);  in gaussianBlur()
469             for (int i = tx; i < bdx + 2*ksizeHalf; i += bdx)  in gaussianBlur()
471                 int xExt = int(bx * bdx) + i - ksizeHalf;  in gaussianBlur()
545         const int x = bx * bdx + tx;  in gaussianBlur5()
549         const int smw = bdx + 2*ksizeHalf; // shared memory "width"  in gaussianBlur5()
555             for (int i = tx; i < bdx + 2*ksizeHalf; i += bdx)  in gaussianBlur5()
557                 int xExt = int(bx * bdx) + i - ksizeHalf;  in gaussianBlur5()