Cuda 无法在单个内核代码中找到均值和Var
亲爱的学者们，Cuda 无法在单个内核代码中找到均值和Var,cuda,Cuda,亲爱的学者们， 我无法在单个内核调用中实现mean和var 目标：我需要找到矩阵中子矩阵的均值和方差。所以我写了下面的内核 职能： global void kernelMean(d_a, d_mean, ...); global void kernelVar(d_a, d_var, ...); global void kernelMeanVar(d_a, d_mean, d_var,...); globalvoid-kernelMean（d_-a，d_-mean，…）
我无法在单个内核调用中实现mean和var 目标：我需要找到矩阵中子矩阵的均值和方差。所以我写了下面的内核 职能：
global void kernelMean(d_a, d_mean, ...);
global void kernelVar(d_a, d_var, ...);
global void kernelMeanVar(d_a, d_mean, d_var,...);
globalvoid-kernelMean（d_-a，d_-mean，…）；
globalvoid kernelVar（d_a，d_var，…）；
globalvoid kernelMeanVar（d_a，d_均值，d_var，…）；
问题:
a） 如果我分别计算kernelMean和kernelVar，效果很好
b） 如果我想在单个内核中计算kernelMeanVar，这是行不通的
下面是我的代码，请让我知道任何可能的错误
先谢谢你
问候，
长崎
globalvoid-kernelMean（float*device\u数组，float*device\u平均值，int-globalRows，int-globalCols，int-localRows，int-localCols，int-numrowlts，int-total\u-num\u线程）
{
int block_id=blockIdx.x+gridDim.x*blockIdx.y；
int thread_id=（blockDim.x*blockDim.y）*block_id+threadIdx.x；
int my_rowIdx=线程id/globalCols；
int my_colIdx=线程id%globalCols；
int i，j；
浮子温度；
浮点数和=0；
浮点数sq=0.0；
浮动平均值；
float ltotal_elts=（float）（localRows*localCols）
device_mean[thread_id]=0；
如果（线程id为0）
{
num_blocks++；
}
dim3 gridDim（num_块，1）；
dim3块DIM（numBlockThreads，1）；
//kernelMean>（设备数组、设备平均值、全局行、全局列、局部行、局部列、numrowlts、线程总数）；
//kernelVar>（设备数组、设备变量、全局行、全局列、局部列、局部列、numrowlts、线程总数）；
kernelMeanVar>（设备数组、设备平均值、设备变量、全局行、全局行、局部行、局部列、numrowlts、线程总数）；
主机平均值=（浮点*）malloc（sizeof（浮点）*线程总数）；
memset（主机平均数，0，sizeof（float）*线程总数）；
主机变量=（float*）malloc（sizeof（float）*线程总数）；
memset（主机变量，0，sizeof（float）*线程总数）；
cudaThreadSynchronize（）；
cudaError_t error=cudaGetLastError（）；
//如果（错误！=cudaSuccess）{
printf（“错误：%s\n”，cudaGetErrorString（错误））；
//}
cudaMemcpy（主机平均值，设备平均值，sizeof（float）*线程总数，cudaMemcpyDeviceToHost）；
convertToDouble（平均线程数、主机平均线程数、总线程数）；
cudaMemcpy（主机变量、设备变量、sizeof（float）*线程总数、cudaMemcpyDeviceToHost）；
对于（int i=0；i<300；i++）
printf（“主机变量[%d]%f\n”，i，主机变量[i]）；
convertToDouble（变量、主机变量、线程总数）；
cudaFree（设备_阵列）；
cudaFree（装置的平均值）；
cudaFree（装置变量）；
免费（主机的意思）；
自由（主机变量）；
空闲（主机\阵列\浮点数）；
}
启用的结果
global void kernelMeanVar(d_a, d_mean, d_var,...);
ERROR: no error
host_var[0] 0.000000
host_var[1] 0.000000
host_var[2] 0.000000
host_var[3] 0.000000
host_var[4] 0.000000
host_var[5] 0.000000
host_var[6] 0.000000
host_var[7] 0.000000
host_var[8] 0.000000
host_var[9] 0.000000
host_var[10] 0.000000
host_var[11] 0.000000
host_var[12] 0.000000
host_var[13] 0.000000
host_var[14] 0.000000
host_var[15] 0.000000
host_var[16] 0.000000
host_var[17] 0.000000
host_var[18] 0.000000
host_var[19] 0.000000
host_var[20] 0.000000
host_var[21] 0.000000
host_var[22] 0.000000
host_var[23] 0.000000
host_var[24] 0.000000
host_var[25] 0.000000
host_var[26] 0.000000
host_var[27] 0.000000
host_var[28] 0.000000
host_var[29] 0.000000
host_var[30] 0.000000
host_var[31] 0.000000
host_var[32] 0.000000
host_var[33] 0.000000
host_var[34] 0.000000
host_var[35] 0.000000
host_var[36] 0.000000
host_var[37] 0.000000
host_var[38] 0.000000
host_var[39] 0.000000
host_var[40] 0.000000
host_var[41] 0.000000
host_var[42] 0.000000
host_var[43] 0.000000
host_var[44] 0.000000
host_var[45] 0.000000
host_var[46] 0.000000
host_var[47] 0.000000
host_var[48] 0.000000
host_var[49] 0.000000
host_var[50] 0.000000
host_var[51] 0.000000
host_var[52] 0.000000
host_var[53] 0.000000
host_var[54] 0.000000
host_var[55] 0.000000
host_var[56] 0.000000
host_var[57] 0.000000
host_var[58] 0.000000
host_var[59] 0.000000
host_var[60] 0.000000
host_var[61] 0.000000
host_var[62] 0.000000
host_var[63] 0.000000
host_var[64] 0.000000
host_var[65] 0.000000
host_var[66] 0.000000
host_var[67] 0.000000
host_var[68] 0.000000
host_var[69] 0.000000
host_var[70] 0.000000
host_var[71] 0.000000
host_var[72] 0.000000
host_var[73] 0.000000
host_var[74] 0.000000
host_var[75] 0.000000
host_var[76] 0.000000
host_var[77] 0.000000
host_var[78] 0.000000
host_var[79] 0.000000
host_var[80] 0.000000
host_var[81] 0.000000
host_var[82] 0.000000
host_var[83] 0.000000
host_var[84] 0.000000
host_var[85] 0.000000
host_var[86] 0.000000
host_var[87] 0.000000
host_var[88] 0.000000
host_var[89] 0.000000
host_var[90] 0.000000
host_var[91] 0.000000
host_var[92] 0.000000
host_var[93] 0.000000
host_var[94] 0.000000
host_var[95] 0.000000
host_var[96] 0.000000
host_var[97] 0.000000
host_var[98] 0.000000
host_var[99] 0.000000
host_var[100] 0.000000
host_var[101] 0.000000
host_var[102] 0.000000
host_var[103] 0.000000
host_var[104] 0.000000
host_var[105] 0.000000
host_var[106] 0.000000
host_var[107] 0.000000
host_var[108] 0.000000
host_var[109] 0.000000
host_var[110] 0.000000
host_var[111] 0.000000
host_var[112] 0.000000
host_var[113] 0.000000
host_var[114] 0.000000
host_var[115] 0.000000
host_var[116] 0.000000
host_var[117] 0.000000
host_var[118] 0.000000
host_var[119] 0.000000
host_var[120] 0.000000
host_var[121] 0.000000
host_var[122] 0.000000
host_var[123] 0.000000
host_var[124] 0.000000
host_var[125] 0.000000
host_var[126] 0.000000
host_var[127] 0.000000
host_var[128] 18.927368
host_var[129] 21.664307
host_var[130] 142.432373
host_var[131] 1575.141602
host_var[132] 2901.855957
host_var[133] 4195.149902
host_var[134] 5047.758789
host_var[135] 5450.164063
host_var[136] 5249.767578
host_var[137] 4577.365234
host_var[138] 3352.496094
host_var[139] 1641.593750
host_var[140] 352.242188
host_var[141] 224.824219
host_var[142] 194.578125
host_var[143] 178.875000
host_var[144] 175.148438
host_var[145] 174.117188
host_var[146] 172.707031
host_var[147] 169.578125
host_var[148] 176.308594
host_var[149] 181.968750
host_var[150] 191.507813
host_var[151] 198.500000
host_var[152] 206.824219
host_var[153] 213.273438
host_var[154] 220.312500
host_var[155] 218.859375
host_var[156] 213.941406
host_var[157] 205.474609
host_var[158] 190.722656
host_var[159] 178.414063
host_var[160] 169.302734
host_var[161] 3.750366
host_var[162] 4.333252
host_var[163] 4.901855
host_var[164] 5.527466
host_var[165] 6.201782
host_var[166] 11.921631
host_var[167] 14.135376
host_var[168] 14.885864
host_var[169] 19.083618
host_var[170] 21.290283
host_var[171] 21.415649
host_var[172] 209.747559
host_var[173] 580.304932
host_var[174] 800.949951
host_var[175] 1119.857422
host_var[176] 1129.382324
host_var[177] 1032.616211
host_var[178] 972.797363
host_var[179] 915.440918
host_var[180] 905.890137
host_var[181] 943.649902
host_var[182] 1207.445801
host_var[183] 1345.912109
host_var[184] 1478.704590
host_var[185] 1224.895508
host_var[186] 1105.403564
host_var[187] 1031.981201
host_var[188] 914.456421
host_var[189] 835.127441
host_var[190] 1320.454102
host_var[191] 1561.439941
host_var[192] 1599.149902
host_var[193] 1912.232910
host_var[194] 1993.473145
host_var[195] 1913.377441
host_var[196] 1784.035645
host_var[197] 1554.712891
host_var[198] 1244.698242
host_var[199] 926.668945
globalvoid-kernelMean（d_-a，d_-mean，…）；
globalvoid kernelVar（d_a，d_var，…）
错误：没有错误
主机变量[0]4.497070
主机变量[1]5.061768
主机变量[2]5.687500
主机变量[3]6.347534
主机变量[4]6.829102
主机变量[5]12.940308
主机变量[6]14.309937
主机变量[7]15.141113
host_var[8]18.741577
主机变量[9]21.323608
主机变量[10]21.727417
主机变量[11]192.348389
主机变量[12]579.911621
主机变量[13]800.821045
主机变量[14]1071.960938
主机变量[15]1077.261719
主机变量[16]993.262207
主机变量[17]924.379883
主机变量[18]839.437012
主机变量[19]810.847656
主机变量[20]835.007813
主机变量[21]1124.365723
主机变量[22]1241.685547
主机变量[23]1376.504150
主机变量[24]1196.745850
主机变量[25]1097.473877
主机变量[26]1008.840088
主机变量[27]867.585083
主机变量[28]794.241699
主机变量[29]1322.409790
主机变量[30]1556.029785
主机变量[31]1564.997803
主机变量[32]1870.985840
主机变量[33]1929.829590
host_var[34]1822.189453
主机变量[35]1662.321777
主机变量[36]1372.886719
主机变量[37]1074.727539
主机变量[38]833.003906
主机变量[39]632.514648
主机变量[40]380.227539
主机变量[41]87.345703
host_var[42]82.544922
主机变量[43]78.756836
主机变量[44]68.541016
主机变量[45]61.981445
主机变量[46]60.413086
主机变量[47]60.128906
主机变量[48]59.767578
host_var[49]59.223633
主机变量[50]56.569336
主机变量[51]53.866211
host_var[52]51.186523
host_var[53]55.270508
主机变量[54]59.956055
主机变量[55]66.516602
主机变量[56]70.348633
主机变量[57]71.706055
主机变量[58]70.494141
主机变量[59]69.897461
主机变量[60]66.286133
主机变量[61]67.926758
主机变量[62]160.753906
主机变量[63]447.221191
主机变量[64]831.740723
主机变量[65]1076.513672
主机变量[66]1193.666992
主机变量[67]1208.239746
主机变量[68]1126.845947
主机变量[69]948.397461
主机变量[70]669.399414
主机变量[71]340.465576
host_var[72]67.161865
主机变量[73]7.421082
host_var[74]5.485626
主机变量[75]5.135620
主机变量[76]3.460419
host_var[77]3.853577
主机变量[78]5.221100
主机变量[79]5.890381
主机变量[80]7.139618
主机变量[81]7.517609
主机变量[82]6.865875
主机变量[83]5.053909
主机变量[84]2.781616
主机变量[85]2.021912
主机变量[86]2.130417
主机变量[87]3.113586
主机变量[88]4.024399
host_var[89]4.582413
主机变量[90]4.077118
主机变量[91]3.024384
host_var[92]2.287506
主机变量[93]1.793579
主机变量[94]1.567474
主机变量[95]1.829895
主机变量[96]2.325928
主机变量[97]3.429993
主机变量[98]3.885559
主机变量[99]3.835602
主机变量[100]5.566406
主机变量[101]8.065582
主机变量[102]18.767456
主机变量[103]35.395599
主机变量[104]64.148407
主机变量[105]125.937866
主机变量[106]176.445618
主机变量[107]216.073059
主机变量[108]272.109985
host_var[109]307.972412
主机变量[110]289.652344
主机变量[111]238.253662
主机变量[112]178.304932
主机变量[113]116.925049
主机变量[114]74.773926
主机变量[115]61.227295
host_var[116]55.238525
主机变量[117]55.387451
host_var[118]49.241699
主机变量[119]38.396240
主机变量[120]28.304932
主机变量[121]20.225342
主机变量[122]18.043457
主机变量[123]21.418457
host_var[124]26.120117
主机变量[125]25.899414
主机变量[126]26.641602
host_var[127]23.747437
主机变量[128]18.927368
主机变量[129]
device_var[thread_id] = 0;
if(thread_id < total_num_threads)
{
for(i=0; i < localRows ; i++)
{
for(j=0 ; j < localCols; j++)
{
temp = device_array[(i+ my_rowIdx)*numRowElts + (j+ my_colIdx)];
sum = sum + temp;
sumsq = sumsq + (temp*temp);
}
}
mean = sum/ltotal_elts;
device_var[thread_id] = (sumsq/ltotal_elts) - (mean*mean);
}
}
void convertToFloat(float** float_ary, double* double_ary, int num_elts)
{
for(int i = 0; i < num_elts ; i++)
{
(*float_ary)[i] = (float) double_ary[i];
//printf("float_ary[%d] : %f \n", i, (*float_ary)[i]);
}
return;
}
void convertToDouble(double** double_ary, float* float_ary, int num_elts)
{
for(int i = 0; i < num_elts ; i++)
{
(*double_ary)[i] = (double) float_ary[i];
}
return;
}
void computeMeanAndVarArray(double* host_array, int num_elts, int globalRows, int globalCols, int localRows, int localCols, int numRowElts, double** mean_ary, double** var_ary)
{
float* host_array_float;
float* device_array;
float* host_mean;
float* host_var;
float* device_mean;
float* device_var;
double total_bytes =0;
host_array_float = (float*) malloc (num_elts*sizeof(float));
convertToFloat(&host_array_float, host_array, num_elts);
//printf("num_elts %d \n", num_elts);
cudaMalloc((void**) &device_array, sizeof(float)* num_elts);
cudaMemset(device_array, 0, sizeof(float)* num_elts);
cudaMemcpy(device_array, host_array_float,sizeof(float)* num_elts, cudaMemcpyHostToDevice);
int numBlockThreads = MAX_THREADS_PER_BLOCK;
int num_blocks = 0;
int remain_elts = 0;
int total_num_threads = globalRows * globalCols;
cudaMalloc((void**) &device_mean, sizeof(float)* total_num_threads);
cudaMemset(device_mean, 0, sizeof(float)* total_num_threads);
cudaMalloc((void**) &device_var, sizeof(float)* total_num_threads);
cudaMemset(device_var, 0, sizeof(float)* total_num_threads);
num_blocks = total_num_threads/numBlockThreads;
remain_elts = total_num_threads%numBlockThreads;
if(remain_elts > 0)
{
num_blocks++;
}
dim3 gridDim(num_blocks,1);
dim3 blockDim(numBlockThreads,1);
//kernelMean<<< gridDim,blockDim >>>(device_array, device_mean,globalRows, globalCols, localRows,localCols, numRowElts, total_num_threads);
//kernelVar<<< gridDim,blockDim >>>(device_array, device_var,globalRows, globalCols, localRows,localCols, numRowElts, total_num_threads);
kernelMeanVar<<< gridDim,blockDim >>>(device_array, device_mean, device_var,globalRows, globalCols, localRows,localCols, numRowElts, total_num_threads);
host_mean = (float*) malloc( sizeof(float) * total_num_threads);
memset(host_mean, 0, sizeof(float) * total_num_threads);
host_var = (float*) malloc( sizeof(float) * total_num_threads);
memset(host_var, 0, sizeof(float) * total_num_threads);
cudaThreadSynchronize();
cudaError_t error = cudaGetLastError();
//if(error!=cudaSuccess) {
printf("ERROR: %s\n", cudaGetErrorString(error) );
//}
cudaMemcpy(host_mean, device_mean, sizeof(float)*total_num_threads, cudaMemcpyDeviceToHost);
convertToDouble(mean_ary, host_mean, total_num_threads);
cudaMemcpy(host_var, device_var, sizeof(float)*total_num_threads, cudaMemcpyDeviceToHost);
for(int i = 0 ; i < 300 ; i++)
printf("host_var[%d] %f \n",i, host_var[i]);
convertToDouble(var_ary, host_var, total_num_threads);
cudaFree(device_array);
cudaFree(device_mean);
cudaFree(device_var);
free(host_mean);
free(host_var);
free(host_array_float);
}
global void kernelMean(d_a, d_mean, ...);
global void kernelVar(d_a, d_var, ...);
ERROR: no error
host_var[0] 4.497070
host_var[1] 5.061768
host_var[2] 5.687500
host_var[3] 6.347534
host_var[4] 6.829102
host_var[5] 12.940308
host_var[6] 14.309937
host_var[7] 15.141113
host_var[8] 18.741577
host_var[9] 21.323608
host_var[10] 21.727417
host_var[11] 192.348389
host_var[12] 579.911621
host_var[13] 800.821045
host_var[14] 1071.960938
host_var[15] 1077.261719
host_var[16] 993.262207
host_var[17] 924.379883
host_var[18] 839.437012
host_var[19] 810.847656
host_var[20] 835.007813
host_var[21] 1124.365723
host_var[22] 1241.685547
host_var[23] 1376.504150
host_var[24] 1196.745850
host_var[25] 1097.473877
host_var[26] 1008.840088
host_var[27] 867.585083
host_var[28] 794.241699
host_var[29] 1322.409790
host_var[30] 1556.029785
host_var[31] 1564.997803
host_var[32] 1870.985840
host_var[33] 1929.829590
host_var[34] 1822.189453
host_var[35] 1662.321777
host_var[36] 1372.886719
host_var[37] 1074.727539
host_var[38] 833.003906
host_var[39] 632.514648
host_var[40] 380.227539
host_var[41] 87.345703
host_var[42] 82.544922
host_var[43] 78.756836
host_var[44] 68.541016
host_var[45] 61.981445
host_var[46] 60.413086
host_var[47] 60.128906
host_var[48] 59.767578
host_var[49] 59.223633
host_var[50] 56.569336
host_var[51] 53.866211
host_var[52] 51.186523
host_var[53] 55.270508
host_var[54] 59.956055
host_var[55] 66.516602
host_var[56] 70.348633
host_var[57] 71.706055
host_var[58] 70.494141
host_var[59] 69.897461
host_var[60] 66.286133
host_var[61] 67.926758
host_var[62] 160.753906
host_var[63] 447.221191
host_var[64] 831.740723
host_var[65] 1076.513672
host_var[66] 1193.666992
host_var[67] 1208.239746
host_var[68] 1126.845947
host_var[69] 948.397461
host_var[70] 669.399414
host_var[71] 340.465576
host_var[72] 67.161865
host_var[73] 7.421082
host_var[74] 5.485626
host_var[75] 5.135620
host_var[76] 3.460419
host_var[77] 3.853577
host_var[78] 5.221100
host_var[79] 5.890381
host_var[80] 7.139618
host_var[81] 7.517609
host_var[82] 6.865875
host_var[83] 5.053909
host_var[84] 2.781616
host_var[85] 2.021912
host_var[86] 2.130417
host_var[87] 3.113586
host_var[88] 4.024399
host_var[89] 4.582413
host_var[90] 4.077118
host_var[91] 3.024384
host_var[92] 2.287506
host_var[93] 1.793579
host_var[94] 1.567474
host_var[95] 1.829895
host_var[96] 2.325928
host_var[97] 3.429993
host_var[98] 3.885559
host_var[99] 3.835602
host_var[100] 5.566406
host_var[101] 8.065582
host_var[102] 18.767456
host_var[103] 35.395599
host_var[104] 64.148407
host_var[105] 125.937866
host_var[106] 176.445618
host_var[107] 216.073059
host_var[108] 272.109985
host_var[109] 307.972412
host_var[110] 289.652344
host_var[111] 238.253662
host_var[112] 178.304932
host_var[113] 116.925049
host_var[114] 74.773926
host_var[115] 61.227295
host_var[116] 55.238525
host_var[117] 55.387451
host_var[118] 49.241699
host_var[119] 38.396240
host_var[120] 28.304932
host_var[121] 20.225342
host_var[122] 18.043457
host_var[123] 21.418457
host_var[124] 26.120117
host_var[125] 25.899414
host_var[126] 26.641602
host_var[127] 23.747437
host_var[128] 18.927368
host_var[129] 21.664307
host_var[130] 142.432373
host_var[131] 1575.141602
host_var[132] 2901.855957
host_var[133] 4195.149902
host_var[134] 5047.758789
host_var[135] 5450.164063
host_var[136] 5249.767578
host_var[137] 4577.365234
host_var[138] 3352.496094
host_var[139] 1641.593750
host_var[140] 352.242188
host_var[141] 224.824219
host_var[142] 194.578125
host_var[143] 178.875000
host_var[144] 175.148438
host_var[145] 174.117188
host_var[146] 172.707031
host_var[147] 169.578125
host_var[148] 176.308594
host_var[149] 181.968750
host_var[150] 191.507813
host_var[151] 198.500000
host_var[152] 206.824219
host_var[153] 213.273438
host_var[154] 220.312500
host_var[155] 218.859375
host_var[156] 213.941406
host_var[157] 205.474609
host_var[158] 190.722656
host_var[159] 178.414063
host_var[160] 169.302734
host_var[161] 3.750366
host_var[162] 4.333252
host_var[163] 4.901855
host_var[164] 5.527466
host_var[165] 6.201782
host_var[166] 11.921631
host_var[167] 14.135376
host_var[168] 14.885864
host_var[169] 19.083618
host_var[170] 21.290283
host_var[171] 21.415649
host_var[172] 209.747559
host_var[173] 580.304932
host_var[174] 800.949951
host_var[175] 1119.857422
host_var[176] 1129.382324
host_var[177] 1032.616211
host_var[178] 972.797363
host_var[179] 915.440918
host_var[180] 905.890137
host_var[181] 943.649902
host_var[182] 1207.445801
host_var[183] 1345.912109
host_var[184] 1478.704590
host_var[185] 1224.895508
host_var[186] 1105.403564
host_var[187] 1031.981201
host_var[188] 914.456421
host_var[189] 835.127441
host_var[190] 1320.454102
host_var[191] 1561.439941
host_var[192] 1599.149902
host_var[193] 1912.232910
host_var[194] 1993.473145
host_var[195] 1913.377441
host_var[196] 1784.035645
host_var[197] 1554.712891
host_var[198] 1244.698242
host_var[199] 926.668945
global void kernelMeanVar(d_a, d_mean, d_var,...);
ERROR: no error
host_var[0] 0.000000
host_var[1] 0.000000
host_var[2] 0.000000
host_var[3] 0.000000
host_var[4] 0.000000
host_var[5] 0.000000
host_var[6] 0.000000
host_var[7] 0.000000
host_var[8] 0.000000
host_var[9] 0.000000
host_var[10] 0.000000
host_var[11] 0.000000
host_var[12] 0.000000
host_var[13] 0.000000
host_var[14] 0.000000
host_var[15] 0.000000
host_var[16] 0.000000
host_var[17] 0.000000
host_var[18] 0.000000
host_var[19] 0.000000
host_var[20] 0.000000
host_var[21] 0.000000
host_var[22] 0.000000
host_var[23] 0.000000
host_var[24] 0.000000
host_var[25] 0.000000
host_var[26] 0.000000
host_var[27] 0.000000
host_var[28] 0.000000
host_var[29] 0.000000
host_var[30] 0.000000
host_var[31] 0.000000
host_var[32] 0.000000
host_var[33] 0.000000
host_var[34] 0.000000
host_var[35] 0.000000
host_var[36] 0.000000
host_var[37] 0.000000
host_var[38] 0.000000
host_var[39] 0.000000
host_var[40] 0.000000
host_var[41] 0.000000
host_var[42] 0.000000
host_var[43] 0.000000
host_var[44] 0.000000
host_var[45] 0.000000
host_var[46] 0.000000
host_var[47] 0.000000
host_var[48] 0.000000
host_var[49] 0.000000
host_var[50] 0.000000
host_var[51] 0.000000
host_var[52] 0.000000
host_var[53] 0.000000
host_var[54] 0.000000
host_var[55] 0.000000
host_var[56] 0.000000
host_var[57] 0.000000
host_var[58] 0.000000
host_var[59] 0.000000
host_var[60] 0.000000
host_var[61] 0.000000
host_var[62] 0.000000
host_var[63] 0.000000
host_var[64] 0.000000
host_var[65] 0.000000
host_var[66] 0.000000
host_var[67] 0.000000
host_var[68] 0.000000
host_var[69] 0.000000
host_var[70] 0.000000
host_var[71] 0.000000
host_var[72] 0.000000
host_var[73] 0.000000
host_var[74] 0.000000
host_var[75] 0.000000
host_var[76] 0.000000
host_var[77] 0.000000
host_var[78] 0.000000
host_var[79] 0.000000
host_var[80] 0.000000
host_var[81] 0.000000
host_var[82] 0.000000
host_var[83] 0.000000
host_var[84] 0.000000
host_var[85] 0.000000
host_var[86] 0.000000
host_var[87] 0.000000
host_var[88] 0.000000
host_var[89] 0.000000
host_var[90] 0.000000
host_var[91] 0.000000
host_var[92] 0.000000
host_var[93] 0.000000
host_var[94] 0.000000
host_var[95] 0.000000
host_var[96] 0.000000
host_var[97] 0.000000
host_var[98] 0.000000
host_var[99] 0.000000
host_var[100] 0.000000
host_var[101] 0.000000
host_var[102] 0.000000
host_var[103] 0.000000
host_var[104] 0.000000
host_var[105] 0.000000
host_var[106] 0.000000
host_var[107] 0.000000
host_var[108] 0.000000
host_var[109] 0.000000
host_var[110] 0.000000
host_var[111] 0.000000
host_var[112] 0.000000
host_var[113] 0.000000
host_var[114] 0.000000
host_var[115] 0.000000
host_var[116] 0.000000
host_var[117] 0.000000
host_var[118] 0.000000
host_var[119] 0.000000
host_var[120] 0.000000
host_var[121] 0.000000
host_var[122] 0.000000
host_var[123] 0.000000
host_var[124] 0.000000
host_var[125] 0.000000
host_var[126] 0.000000
host_var[127] 0.000000
host_var[128] 18.927368
host_var[129] 21.664307
host_var[130] 142.432373
host_var[131] 1575.141602
host_var[132] 2901.855957
host_var[133] 4195.149902
host_var[134] 5047.758789
host_var[135] 5450.164063
host_var[136] 5249.767578
host_var[137] 4577.365234
host_var[138] 3352.496094
host_var[139] 1641.593750
host_var[140] 352.242188
host_var[141] 224.824219
host_var[142] 194.578125
host_var[143] 178.875000
host_var[144] 175.148438
host_var[145] 174.117188
host_var[146] 172.707031
host_var[147] 169.578125
host_var[148] 176.308594
host_var[149] 181.968750
host_var[150] 191.507813
host_var[151] 198.500000
host_var[152] 206.824219
host_var[153] 213.273438
host_var[154] 220.312500
host_var[155] 218.859375
host_var[156] 213.941406
host_var[157] 205.474609
host_var[158] 190.722656
host_var[159] 178.414063
host_var[160] 169.302734
host_var[161] 3.750366
host_var[162] 4.333252
host_var[163] 4.901855
host_var[164] 5.527466
host_var[165] 6.201782
host_var[166] 11.921631
host_var[167] 14.135376
host_var[168] 14.885864
host_var[169] 19.083618
host_var[170] 21.290283
host_var[171] 21.415649
host_var[172] 209.747559
host_var[173] 580.304932
host_var[174] 800.949951
host_var[175] 1119.857422
host_var[176] 1129.382324
host_var[177] 1032.616211
host_var[178] 972.797363
host_var[179] 915.440918
host_var[180] 905.890137
host_var[181] 943.649902
host_var[182] 1207.445801
host_var[183] 1345.912109
host_var[184] 1478.704590
host_var[185] 1224.895508
host_var[186] 1105.403564
host_var[187] 1031.981201
host_var[188] 914.456421
host_var[189] 835.127441
host_var[190] 1320.454102
host_var[191] 1561.439941
host_var[192] 1599.149902
host_var[193] 1912.232910
host_var[194] 1993.473145
host_var[195] 1913.377441
host_var[196] 1784.035645
host_var[197] 1554.712891
host_var[198] 1244.698242
host_var[199] 926.668945