Adding ResNet and VGG ImageNet power results

llvm/projects/hpvm-tensor-rt/tuner_results/power_data/resnet_imagenet/power_vals.txt

+630.3133468822567 1518.7342341697647 4172.999865822721
+862.2901370248659 1618.867173584681 4367.496426850594
+1081.592194092087 1705.1200485370498 4725.662011692379
+1251.98751341814 1767.268136595638 5012.586523868867
+1386.0386411228058 1814.0539821021907 5237.493779755223
+1523.5318591137607 1864.9261517445043 5476.409229023007
+1600.0529774434483 1886.978747048201 5584.586582538173
+1743.3645247970426 1923.5079842312148 5797.902854241427
+1958.4468155676777 1940.1389446626035 6057.732126251947
+2245.2528494003545 1966.1521499175255 6383.1978209373565
+2564.831850045329 1980.6926465518343 6741.878621499802
+2905.8307530368606 1993.0040665821095 7104.8292623926145
+3295.8856520628606 2009.888374312716 7525.840886176348
+3752.9626639894723 2014.938250417181 8003.624102891099

llvm/projects/hpvm-tensor-rt/tuner_results/power_data/vgg16_imagenet/power_vals.txt

+639.4759407433214 1377.7661548865883 3724.4001081027077
+923.0401960205828 1452.7962944500173 4137.80473326429
+1166.57524611524 1509.8537021844738 4499.530151797874
+1397.562056938578 1559.9403934015781 4834.215749863231
+1604.4947742530953 1599.4228852863341 5118.98122637499
+1817.4261774110773 1639.7708473148843 5409.307530518162
+1991.87335956584 1668.612969447553 5641.83422018459
+2186.2490581305533 1688.940374540888 5885.011777965772
+2507.210515723833 1698.3068069061321 6235.4519648152855
+2947.6976114242766 1725.364689966178 6725.1092281097335
+3384.515120555144 1734.980106917119 7196.703825208319
+3932.3152739225475 1756.1310607227479 7798.460026676193
+4508.703139569975 1772.8641328120495 8417.11372845551
+5170.478512373274 1789.5574243186375 9119.78916550361