diff --git a/hpvm/test/dnn_benchmarks/benchmarks/alexnet/alexnet_loop.cpp b/hpvm/test/dnn_benchmarks/benchmarks/alexnet/alexnet_loop.cpp
index 726abe4f2ee116f410e537a1b30709cd5ab11e61..86b3e7eb93bb6040af97007741853ef6474ddb3d 100644
--- a/hpvm/test/dnn_benchmarks/benchmarks/alexnet/alexnet_loop.cpp
+++ b/hpvm/test/dnn_benchmarks/benchmarks/alexnet/alexnet_loop.cpp
@@ -368,7 +368,7 @@ int main() {
std::string input_path = dir_prefix + std::string("input.bin");
// void* input = readTrainedWeights(input_path.c_str(), 0,5000,3,32,32);
- std::string labels_path = dir_prefix + std::string("labels32.bin");
+ std::string labels_path = dir_prefix + std::string("labels.bin");
uint8_t *labels = readLabels(labels_path.c_str(), 5000);
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
diff --git a/hpvm/test/dnn_benchmarks/benchmarks/alexnet/data/profile_info_0.txt b/hpvm/test/dnn_benchmarks/benchmarks/alexnet/data/profile_info_0.txt
new file mode 100644
index 0000000000000000000000000000000000000000..539e9c5e4364e4c347d0178cf37c9360e8684697
--- /dev/null
+++ b/hpvm/test/dnn_benchmarks/benchmarks/alexnet/data/profile_info_0.txt
@@ -0,0 +1,333 @@
+Iteration 0
+tensorConvApprox 14.3115 0
+tensorAdd 1.02622 0
+tensorTanh 0.898396 0
+tensorPooling 3.8831 0
+tensorConvApprox 32.1534 0
+tensorAdd 1.15727 0
+tensorTanh 0.680845 0
+tensorPooling 3.8237 0
+tensorConvApprox 20.5314 0
+tensorAdd 0.532026 0
+tensorTanh 0.369712 0
+tensorConvApprox 12.4899 0
+tensorAdd 0.390065 0
+tensorTanh 0.268568 0
+tensorConvApprox 13.3275 0
+tensorAdd 0.386222 0
+tensorTanh 0.272502 0
+tensorPooling 8.36251 0
+tensorGemmGPU 0.152966 0
+tensorAdd 0.050722 0
+tensorSoftmax 0.496308 0
+
+Iteration Compute Time : 115.565
+Iteration Compute Energy : 0
+Iteration Control Time : 0.007292
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 1
+tensorConvApprox 11.9048 0
+tensorAdd 0.981402 0
+tensorTanh 0.897394 0
+tensorPooling 3.88691 0
+tensorConvApprox 35.5192 0
+tensorAdd 0.8764 0
+tensorTanh 0.710773 0
+tensorPooling 3.94797 0
+tensorConvApprox 18.7327 0
+tensorAdd 0.535372 0
+tensorTanh 0.374727 0
+tensorConvApprox 15.7501 0
+tensorAdd 0.424294 0
+tensorTanh 0.281268 0
+tensorConvApprox 17.5668 0
+tensorAdd 0.331888 0
+tensorTanh 0.250301 0
+tensorPooling 2.72472 0
+tensorGemmGPU 0.143352 0
+tensorAdd 0.055544 0
+tensorSoftmax 0.08166 0
+
+Iteration Compute Time : 115.978
+Iteration Compute Energy : 0
+Iteration Control Time : 0.00647
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 2
+tensorConvApprox 10.4766 0
+tensorAdd 0.940204 0
+tensorTanh 0.881425 0
+tensorPooling 2.90942 0
+tensorConvApprox 26.5166 0
+tensorAdd 0.738166 0
+tensorTanh 0.668582 0
+tensorPooling 3.2023 0
+tensorConvApprox 18.1847 0
+tensorAdd 0.486579 0
+tensorTanh 0.353238 0
+tensorConvApprox 13.5609 0
+tensorAdd 0.329398 0
+tensorTanh 0.248291 0
+tensorConvApprox 16.5131 0
+tensorAdd 0.330791 0
+tensorTanh 0.250381 0
+tensorPooling 2.71902 0
+tensorGemmGPU 0.11723 0
+tensorAdd 0.042048 0
+tensorSoftmax 0.072427 0
+
+Iteration Compute Time : 99.5415
+Iteration Compute Energy : 0
+Iteration Control Time : 0.006623
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 3
+tensorConvApprox 14.8628 0
+tensorAdd 0.940958 0
+tensorTanh 0.877392 0
+tensorPooling 2.91463 0
+tensorConvApprox 25.3997 0
+tensorAdd 0.732202 0
+tensorTanh 0.662649 0
+tensorPooling 3.21044 0
+tensorConvApprox 17.6506 0
+tensorAdd 0.482615 0
+tensorTanh 0.348469 0
+tensorConvApprox 12.4788 0
+tensorAdd 0.320677 0
+tensorTanh 0.25521 0
+tensorConvApprox 15.3849 0
+tensorAdd 0.318819 0
+tensorTanh 0.25603 0
+tensorPooling 2.71632 0
+tensorGemmGPU 0.104063 0
+tensorAdd 0.035217 0
+tensorSoftmax 0.062819 0
+
+Iteration Compute Time : 100.015
+Iteration Compute Energy : 0
+Iteration Control Time : 0.00959
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 4
+tensorConvApprox 9.55748 0
+tensorAdd 0.928402 0
+tensorTanh 0.877771 0
+tensorPooling 2.92616 0
+tensorConvApprox 25.4051 0
+tensorAdd 0.729882 0
+tensorTanh 0.662032 0
+tensorPooling 3.21661 0
+tensorConvApprox 17.6442 0
+tensorAdd 0.476568 0
+tensorTanh 0.347166 0
+tensorConvApprox 12.4534 0
+tensorAdd 0.320289 0
+tensorTanh 0.259964 0
+tensorConvApprox 15.3012 0
+tensorAdd 0.333436 0
+tensorTanh 0.256219 0
+tensorPooling 2.69665 0
+tensorGemmGPU 0.119615 0
+tensorAdd 0.034923 0
+tensorSoftmax 0.060685 0
+
+Iteration Compute Time : 94.6077
+Iteration Compute Energy : 0
+Iteration Control Time : 0.004848
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 5
+tensorConvApprox 9.48967 0
+tensorAdd 0.92571 0
+tensorTanh 0.882753 0
+tensorPooling 2.92075 0
+tensorConvApprox 25.4127 0
+tensorAdd 0.731906 0
+tensorTanh 0.664074 0
+tensorPooling 3.21301 0
+tensorConvApprox 17.6358 0
+tensorAdd 0.477294 0
+tensorTanh 0.347933 0
+tensorConvApprox 12.4492 0
+tensorAdd 0.320827 0
+tensorTanh 0.255055 0
+tensorConvApprox 15.3214 0
+tensorAdd 0.317836 0
+tensorTanh 0.256784 0
+tensorPooling 2.71152 0
+tensorGemmGPU 0.102045 0
+tensorAdd 0.174673 0
+tensorSoftmax 0.063246 0
+
+Iteration Compute Time : 94.6742
+Iteration Compute Energy : 0
+Iteration Control Time : 0.00407
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 6
+tensorConvApprox 9.60189 0
+tensorAdd 0.952762 0
+tensorTanh 0.891993 0
+tensorPooling 2.91106 0
+tensorConvApprox 25.4062 0
+tensorAdd 0.755871 0
+tensorTanh 0.68422 0
+tensorPooling 2.96388 0
+tensorConvApprox 27.8588 0
+tensorAdd 0.514772 0
+tensorTanh 0.356362 0
+tensorConvApprox 12.6678 0
+tensorAdd 0.327435 0
+tensorTanh 0.24253 0
+tensorConvApprox 15.4339 0
+tensorAdd 0.352288 0
+tensorTanh 0.271282 0
+tensorPooling 2.68894 0
+tensorGemmGPU 0.158426 0
+tensorAdd 0.061436 0
+tensorSoftmax 0.072307 0
+
+Iteration Compute Time : 105.174
+Iteration Compute Energy : 0
+Iteration Control Time : 0.005661
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 7
+tensorConvApprox 9.62176 0
+tensorAdd 0.968878 0
+tensorTanh 0.943004 0
+tensorPooling 3.50381 0
+tensorConvApprox 25.4852 0
+tensorAdd 0.757807 0
+tensorTanh 0.689673 0
+tensorPooling 3.15076 0
+tensorConvApprox 17.7833 0
+tensorAdd 0.516964 0
+tensorTanh 0.364786 0
+tensorConvApprox 12.4445 0
+tensorAdd 0.337461 0
+tensorTanh 0.257275 0
+tensorConvApprox 15.4457 0
+tensorAdd 0.375985 0
+tensorTanh 0.277996 0
+tensorPooling 2.6667 0
+tensorGemmGPU 0.15241 0
+tensorAdd 0.040092 0
+tensorSoftmax 0.084046 0
+
+Iteration Compute Time : 95.8681
+Iteration Compute Energy : 0
+Iteration Control Time : 0.005777
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 8
+tensorConvApprox 9.74254 0
+tensorAdd 0.950284 0
+tensorTanh 0.893457 0
+tensorPooling 2.87882 0
+tensorConvApprox 25.4296 0
+tensorAdd 0.73186 0
+tensorTanh 0.663049 0
+tensorPooling 3.22799 0
+tensorConvApprox 23.1107 0
+tensorAdd 0.483907 0
+tensorTanh 0.349565 0
+tensorConvApprox 12.4793 0
+tensorAdd 0.318144 0
+tensorTanh 0.278262 0
+tensorConvApprox 15.3702 0
+tensorAdd 0.83937 0
+tensorTanh 0.26034 0
+tensorPooling 3.24808 0
+tensorGemmGPU 0.109932 0
+tensorAdd 0.034232 0
+tensorSoftmax 0.07636 0
+
+Iteration Compute Time : 101.476
+Iteration Compute Energy : 0
+Iteration Control Time : 0.005428
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 9
+tensorConvApprox 9.58374 0
+tensorAdd 0.923703 0
+tensorTanh 0.877007 0
+tensorPooling 2.9305 0
+tensorConvApprox 25.4158 0
+tensorAdd 0.748195 0
+tensorTanh 0.69462 0
+tensorPooling 2.84574 0
+tensorConvApprox 17.3316 0
+tensorAdd 0.495151 0
+tensorTanh 0.376615 0
+tensorConvApprox 12.4671 0
+tensorAdd 0.323169 0
+tensorTanh 0.255504 0
+tensorConvApprox 15.3876 0
+tensorAdd 0.320206 0
+tensorTanh 0.269779 0
+tensorPooling 2.71106 0
+tensorGemmGPU 0.107127 0
+tensorAdd 0.0354 0
+tensorSoftmax 0.064412 0
+
+Iteration Compute Time : 94.164
+Iteration Compute Energy : 0
+Iteration Control Time : 0.004707
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+
+
+Total Compute Time : 1017.06
+Total Compute Energy: 1.77607e+131
+
+Total Control Time : 0.060466
+Total Control Energy: 1.33218e+131
+
+Total Config Time : 3.47896e-315
+Total Config Energy: 1.74061e-192
+
+Total Time : 1017.12
+Total Energy: 0
diff --git a/hpvm/test/dnn_benchmarks/benchmarks/alexnet/data/profile_info_1.txt b/hpvm/test/dnn_benchmarks/benchmarks/alexnet/data/profile_info_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4e169c21b92785b72f910559cfefaa7c429c0499
--- /dev/null
+++ b/hpvm/test/dnn_benchmarks/benchmarks/alexnet/data/profile_info_1.txt
@@ -0,0 +1,333 @@
+Iteration 0
+tensorConvApprox 11.738 0
+tensorAdd 1.16777 0
+tensorTanh 0.884078 0
+tensorPooling 3.73133 0
+tensorConvApprox 29.3068 0
+tensorAdd 0.780101 0
+tensorTanh 0.669244 0
+tensorPooling 3.13978 0
+tensorConvApprox 19.5118 0
+tensorAdd 0.507233 0
+tensorTanh 0.361288 0
+tensorConvApprox 12.8863 0
+tensorAdd 0.369282 0
+tensorTanh 0.264109 0
+tensorConvApprox 13.359 0
+tensorAdd 0.372174 0
+tensorTanh 0.490308 0
+tensorPooling 3.48145 0
+tensorGemmGPU 0.186226 0
+tensorAdd 0.041609 0
+tensorSoftmax 0.078182 0
+
+Iteration Compute Time : 103.326
+Iteration Compute Energy : 0
+Iteration Control Time : 0.005426
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 1
+tensorConvApprox 10.6257 0
+tensorAdd 0.958549 0
+tensorTanh 0.879959 0
+tensorPooling 2.89065 0
+tensorConvApprox 27.609 0
+tensorAdd 0.775649 0
+tensorTanh 0.746364 0
+tensorPooling 3.18649 0
+tensorConvApprox 18.5248 0
+tensorAdd 0.505583 0
+tensorTanh 0.360549 0
+tensorConvApprox 14.4281 0
+tensorAdd 0.362531 0
+tensorTanh 0.256132 0
+tensorConvApprox 18.8048 0
+tensorAdd 0.362696 0
+tensorTanh 0.261316 0
+tensorPooling 2.65403 0
+tensorGemmGPU 0.145674 0
+tensorAdd 0.034773 0
+tensorSoftmax 0.060081 0
+
+Iteration Compute Time : 104.433
+Iteration Compute Energy : 0
+Iteration Control Time : 0.006611
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 2
+tensorConvApprox 10.0651 0
+tensorAdd 0.966321 0
+tensorTanh 0.887457 0
+tensorPooling 2.8708 0
+tensorConvApprox 26.3681 0
+tensorAdd 0.779767 0
+tensorTanh 0.699963 0
+tensorPooling 3.10473 0
+tensorConvApprox 18.0222 0
+tensorAdd 0.500791 0
+tensorTanh 0.36232 0
+tensorConvApprox 14.7702 0
+tensorAdd 0.370142 0
+tensorTanh 0.260923 0
+tensorConvApprox 16.2275 0
+tensorAdd 0.356636 0
+tensorTanh 0.252183 0
+tensorPooling 2.72974 0
+tensorGemmGPU 0.168371 0
+tensorAdd 0.037596 0
+tensorSoftmax 0.097785 0
+
+Iteration Compute Time : 99.8986
+Iteration Compute Energy : 0
+Iteration Control Time : 0.009197
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 3
+tensorConvApprox 10.2596 0
+tensorAdd 0.956457 0
+tensorTanh 0.881953 0
+tensorPooling 2.89539 0
+tensorConvApprox 25.975 0
+tensorAdd 0.753964 0
+tensorTanh 0.670788 0
+tensorPooling 3.1843 0
+tensorConvApprox 17.9444 0
+tensorAdd 0.498385 0
+tensorTanh 0.355019 0
+tensorConvApprox 12.9518 0
+tensorAdd 0.337249 0
+tensorTanh 0.249409 0
+tensorConvApprox 15.7192 0
+tensorAdd 0.336988 0
+tensorTanh 0.248181 0
+tensorPooling 2.71098 0
+tensorGemmGPU 0.115982 0
+tensorAdd 0.040407 0
+tensorSoftmax 0.068515 0
+
+Iteration Compute Time : 97.1539
+Iteration Compute Energy : 0
+Iteration Control Time : 0.006215
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 4
+tensorConvApprox 9.77392 0
+tensorAdd 0.978859 0
+tensorTanh 0.89481 0
+tensorPooling 3.90077 0
+tensorConvApprox 25.6289 0
+tensorAdd 0.773433 0
+tensorTanh 0.676555 0
+tensorPooling 3.15454 0
+tensorConvApprox 17.713 0
+tensorAdd 0.495606 0
+tensorTanh 0.363795 0
+tensorConvApprox 12.6093 0
+tensorAdd 0.35372 0
+tensorTanh 0.256194 0
+tensorConvApprox 15.5141 0
+tensorAdd 0.357673 0
+tensorTanh 0.257066 0
+tensorPooling 2.68549 0
+tensorGemmGPU 0.14247 0
+tensorAdd 0.080605 0
+tensorSoftmax 0.058338 0
+
+Iteration Compute Time : 96.6692
+Iteration Compute Energy : 0
+Iteration Control Time : 0.005725
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 5
+tensorConvApprox 9.65676 0
+tensorAdd 0.970723 0
+tensorTanh 0.966903 0
+tensorPooling 3.84624 0
+tensorConvApprox 25.6535 0
+tensorAdd 0.752783 0
+tensorTanh 0.6754 0
+tensorPooling 3.16511 0
+tensorConvApprox 17.747 0
+tensorAdd 0.500255 0
+tensorTanh 0.361439 0
+tensorConvApprox 12.6196 0
+tensorAdd 0.509335 0
+tensorTanh 0.256989 0
+tensorConvApprox 15.3467 0
+tensorAdd 0.356458 0
+tensorTanh 0.255778 0
+tensorPooling 2.68605 0
+tensorGemmGPU 0.135936 0
+tensorAdd 0.033232 0
+tensorSoftmax 0.055239 0
+
+Iteration Compute Time : 96.5514
+Iteration Compute Energy : 0
+Iteration Control Time : 0.005718
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 6
+tensorConvApprox 9.74686 0
+tensorAdd 0.96629 0
+tensorTanh 0.886724 0
+tensorPooling 2.87767 0
+tensorConvApprox 25.6769 0
+tensorAdd 0.780083 0
+tensorTanh 0.67941 0
+tensorPooling 3.13879 0
+tensorConvApprox 23.7678 0
+tensorAdd 0.522688 0
+tensorTanh 0.369376 0
+tensorConvApprox 12.5852 0
+tensorAdd 0.324772 0
+tensorTanh 0.256274 0
+tensorConvApprox 15.5619 0
+tensorAdd 0.363085 0
+tensorTanh 0.257478 0
+tensorPooling 2.67776 0
+tensorGemmGPU 0.15483 0
+tensorAdd 0.032871 0
+tensorSoftmax 0.054692 0
+
+Iteration Compute Time : 101.681
+Iteration Compute Energy : 0
+Iteration Control Time : 0.005554
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 7
+tensorConvApprox 9.69637 0
+tensorAdd 0.972608 0
+tensorTanh 0.889274 0
+tensorPooling 2.86991 0
+tensorConvApprox 25.678 0
+tensorAdd 0.78026 0
+tensorTanh 0.672983 0
+tensorPooling 3.14788 0
+tensorConvApprox 21.5112 0
+tensorAdd 0.506369 0
+tensorTanh 0.363334 0
+tensorConvApprox 12.7572 0
+tensorAdd 0.351557 0
+tensorTanh 0.266646 0
+tensorConvApprox 15.7556 0
+tensorAdd 0.353908 0
+tensorTanh 0.258393 0
+tensorPooling 2.68472 0
+tensorGemmGPU 0.142786 0
+tensorAdd 0.081393 0
+tensorSoftmax 0.064527 0
+
+Iteration Compute Time : 99.805
+Iteration Compute Energy : 0
+Iteration Control Time : 0.005903
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 8
+tensorConvApprox 9.71364 0
+tensorAdd 0.972825 0
+tensorTanh 0.888485 0
+tensorPooling 3.91871 0
+tensorConvApprox 26.1974 0
+tensorAdd 0.789604 0
+tensorTanh 0.683751 0
+tensorPooling 5.23467 0
+tensorConvApprox 17.7131 0
+tensorAdd 0.496558 0
+tensorTanh 0.365996 0
+tensorConvApprox 12.5747 0
+tensorAdd 0.374102 0
+tensorTanh 0.256221 0
+tensorConvApprox 15.5279 0
+tensorAdd 0.354383 0
+tensorTanh 0.25304 0
+tensorPooling 2.6877 0
+tensorGemmGPU 0.140544 0
+tensorAdd 0.039892 0
+tensorSoftmax 0.060523 0
+
+Iteration Compute Time : 99.2438
+Iteration Compute Energy : 0
+Iteration Control Time : 0.005738
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 9
+tensorConvApprox 9.66186 0
+tensorAdd 0.971666 0
+tensorTanh 1.12131 0
+tensorPooling 3.68691 0
+tensorConvApprox 25.8883 0
+tensorAdd 0.777447 0
+tensorTanh 0.677269 0
+tensorPooling 5.2572 0
+tensorConvApprox 17.7107 0
+tensorAdd 0.49721 0
+tensorTanh 0.365184 0
+tensorConvApprox 12.5989 0
+tensorAdd 0.342618 0
+tensorTanh 0.258001 0
+tensorConvApprox 15.5584 0
+tensorAdd 0.357892 0
+tensorTanh 0.258252 0
+tensorPooling 2.6791 0
+tensorGemmGPU 0.137976 0
+tensorAdd 0.033626 0
+tensorSoftmax 0.055593 0
+
+Iteration Compute Time : 98.8954
+Iteration Compute Energy : 0
+Iteration Control Time : 0.005703
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+
+
+Total Compute Time : 997.658
+Total Compute Energy: 6.90537e-310
+
+Total Control Time : 0.06179
+Total Control Energy: 3.55438e-315
+
+Total Config Time : 3.55438e-315
+Total Config Energy: 3.55438e-315
+
+Total Time : 997.72
+Total Energy: 0
diff --git a/hpvm/test/dnn_benchmarks/benchmarks/alexnet2/alexnet2.cpp b/hpvm/test/dnn_benchmarks/benchmarks/alexnet2/alexnet2.cpp
index 2aad203263ab079ab72c85fa36ef2251f6db23ba..bc1f9fa18e6faeed60d171ec90c4dc891136b1ad 100644
--- a/hpvm/test/dnn_benchmarks/benchmarks/alexnet2/alexnet2.cpp
+++ b/hpvm/test/dnn_benchmarks/benchmarks/alexnet2/alexnet2.cpp
@@ -415,7 +415,7 @@ int main() {
std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/alexnet2_cifar10/";
- std::string labels_path = dir_prefix + std::string("labels32.bin");
+ std::string labels_path = dir_prefix + std::string("labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 32, 3, 3, 3);
diff --git a/hpvm/test/dnn_benchmarks/benchmarks/alexnet2/alexnet2_loop.cpp b/hpvm/test/dnn_benchmarks/benchmarks/alexnet2/alexnet2_loop.cpp
index 811edbd4940e4a9b42ad551ca9a9ecd29191305b..59161a118d6e9baa9196d045a072993c733b3697 100644
--- a/hpvm/test/dnn_benchmarks/benchmarks/alexnet2/alexnet2_loop.cpp
+++ b/hpvm/test/dnn_benchmarks/benchmarks/alexnet2/alexnet2_loop.cpp
@@ -415,7 +415,7 @@ int main() {
std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/alexnet2_cifar10/";
- std::string labels_path = dir_prefix + std::string("labels32.bin");
+ std::string labels_path = dir_prefix + std::string("labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 32, 3, 3, 3);
diff --git a/hpvm/test/dnn_benchmarks/benchmarks/alexnet2/data/profile_info_0.txt b/hpvm/test/dnn_benchmarks/benchmarks/alexnet2/data/profile_info_0.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a46f84d43dae0da3eddd8d3015f85276b1ee11d8
--- /dev/null
+++ b/hpvm/test/dnn_benchmarks/benchmarks/alexnet2/data/profile_info_0.txt
@@ -0,0 +1,713 @@
+Iteration 0
+tensorConvApprox 1.46162 0
+tensorAdd 0.303481 0
+tensorTanh 0.268321 0
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+Iteration 13
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+Iteration 19
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+Iteration Compute Time : 27.2177
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+
+
+
+
+Total Compute Time : 594.971
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+Total Control Time : 0.125504
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+Total Config Time : 3.43508e-315
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+Total Time : 595.096
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diff --git a/hpvm/test/dnn_benchmarks/benchmarks/alexnet_imagenet/alexnet_imagenet.cpp b/hpvm/test/dnn_benchmarks/benchmarks/alexnet_imagenet/alexnet_imagenet.cpp
index 0d50f566f934ff5b89c5224fe26176cacc33f3cb..466e311577d1e1d46d2e0c6a2a624cc21900be4f 100644
--- a/hpvm/test/dnn_benchmarks/benchmarks/alexnet_imagenet/alexnet_imagenet.cpp
+++ b/hpvm/test/dnn_benchmarks/benchmarks/alexnet_imagenet/alexnet_imagenet.cpp
@@ -463,9 +463,9 @@ typedef struct __attribute__((__packed__)) {
int main() {
std::string dir_prefix =
- std::string(MODEL_PARAMS_DIR) + "/alexnet_imagenet_tune/";
- std::string input_path = dir_prefix + std::string("test_input.bin");
- std::string labels_path = dir_prefix + std::string("test_labels.bin");
+ std::string(MODEL_PARAMS_DIR) + "/alexnet_imagenet/";
+ std::string input_path = dir_prefix + std::string("input.bin");
+ std::string labels_path = dir_prefix + std::string("labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 64, 3, 11, 11);
diff --git a/hpvm/test/dnn_benchmarks/benchmarks/alexnet_imagenet/alexnet_imagenet_loop.cpp b/hpvm/test/dnn_benchmarks/benchmarks/alexnet_imagenet/alexnet_imagenet_loop.cpp
index c8d5d2437e1c9c50198096b4c0b8fd6201b18e1d..340e0aa1194ac57e96eadd1669a97fa25fdd0c44 100644
--- a/hpvm/test/dnn_benchmarks/benchmarks/alexnet_imagenet/alexnet_imagenet_loop.cpp
+++ b/hpvm/test/dnn_benchmarks/benchmarks/alexnet_imagenet/alexnet_imagenet_loop.cpp
@@ -463,10 +463,10 @@ typedef struct __attribute__((__packed__)) {
int main() {
std::string dir_prefix =
- std::string(MODEL_PARAMS_DIR) + "/alexnet_imagenet_tune/";
+ std::string(MODEL_PARAMS_DIR) + "/alexnet_imagenet/";
- std::string input_path = dir_prefix + std::string("test_input.bin");
- std::string labels_path = dir_prefix + std::string("test_labels.bin");
+ std::string input_path = dir_prefix + std::string("input.bin");
+ std::string labels_path = dir_prefix + std::string("labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 64, 3, 11, 11);
diff --git a/hpvm/test/dnn_benchmarks/benchmarks/alexnet_imagenet/data/profile_info_0.txt b/hpvm/test/dnn_benchmarks/benchmarks/alexnet_imagenet/data/profile_info_0.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2774d7993e7cd3d0a2473f5b525c7349882cd3ac
--- /dev/null
+++ b/hpvm/test/dnn_benchmarks/benchmarks/alexnet_imagenet/data/profile_info_0.txt
@@ -0,0 +1,1533 @@
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+Iteration Compute Time : 64.6135
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+Iteration Compute Time : 64.123
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+Iteration 10
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+
+Iteration Compute Time : 64.4426
+Iteration Compute Energy : 0
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+
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+Iteration 11
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+Iteration Compute Time : 64.9063
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+
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+Iteration 12
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+
+Iteration Compute Time : 64.2591
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+
+
+Iteration 13
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+
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+
+
+Iteration 14
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+
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+
+
+Iteration 15
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+
+Iteration Compute Time : 63.7319
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+
+
+Iteration 16
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+
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+
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+Iteration 17
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+
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+Iteration 18
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+
+
+Iteration 19
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+Iteration 20
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diff --git a/hpvm/test/dnn_benchmarks/benchmarks/alexnet_imagenet/data/profile_info_1.txt b/hpvm/test/dnn_benchmarks/benchmarks/alexnet_imagenet/data/profile_info_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0fd9cf9aedb1b928222c1d21a33b5ac381f7dbd8
--- /dev/null
+++ b/hpvm/test/dnn_benchmarks/benchmarks/alexnet_imagenet/data/profile_info_1.txt
@@ -0,0 +1,1533 @@
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diff --git a/hpvm/test/dnn_benchmarks/benchmarks/lenet_mnist/data/profile_info_0.txt b/hpvm/test/dnn_benchmarks/benchmarks/lenet_mnist/data/profile_info_0.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3c2f212e32f322ffdc83208b17e214f870b16f39
--- /dev/null
+++ b/hpvm/test/dnn_benchmarks/benchmarks/lenet_mnist/data/profile_info_0.txt
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+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 2
+tensorConvApprox 2.32606 0
+tensorAdd 0.411068 0
+tensorTanh 0.344906 0
+tensorPooling 0.722562 0
+tensorConvApprox 4.38211 0
+tensorAdd 0.229327 0
+tensorTanh 0.191966 0
+tensorPooling 2.86407 0
+tensorGemmGPU 6.55125 0
+tensorAdd 0.084581 0
+tensorTanh 0.073292 0
+tensorGemmGPU 0.098221 0
+tensorAdd 0.030683 0
+tensorTanh 0.027494 0
+tensorSoftmax 0.061269 0
+
+Iteration Compute Time : 18.3989
+Iteration Compute Energy : 0
+Iteration Control Time : 0.003689
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 3
+tensorConvApprox 2.24291 0
+tensorAdd 0.418484 0
+tensorTanh 0.348677 0
+tensorPooling 0.712455 0
+tensorConvApprox 4.37535 0
+tensorAdd 0.229926 0
+tensorTanh 0.189547 0
+tensorPooling 2.86834 0
+tensorGemmGPU 6.56461 0
+tensorAdd 0.038987 0
+tensorTanh 0.053378 0
+tensorGemmGPU 0.06347 0
+tensorAdd 0.031148 0
+tensorTanh 0.027058 0
+tensorSoftmax 0.061558 0
+
+Iteration Compute Time : 18.2259
+Iteration Compute Energy : 0
+Iteration Control Time : 0.00752
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 4
+tensorConvApprox 1.97233 0
+tensorAdd 0.421434 0
+tensorTanh 0.34574 0
+tensorPooling 0.706765 0
+tensorConvApprox 4.37096 0
+tensorAdd 0.229763 0
+tensorTanh 0.19085 0
+tensorPooling 2.86542 0
+tensorGemmGPU 6.55621 0
+tensorAdd 0.040947 0
+tensorTanh 0.055266 0
+tensorGemmGPU 0.062209 0
+tensorAdd 0.032391 0
+tensorTanh 0.028358 0
+tensorSoftmax 0.061378 0
+
+Iteration Compute Time : 17.94
+Iteration Compute Energy : 0
+Iteration Control Time : 0.006501
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 5
+tensorConvApprox 2.09069 0
+tensorAdd 0.422896 0
+tensorTanh 0.35448 0
+tensorPooling 0.631175 0
+tensorConvApprox 4.15468 0
+tensorAdd 0.230315 0
+tensorTanh 0.1904 0
+tensorPooling 2.86728 0
+tensorGemmGPU 5.99915 0
+tensorAdd 0.08396 0
+tensorTanh 0.037337 0
+tensorGemmGPU 0.059978 0
+tensorAdd 0.029156 0
+tensorTanh 0.027527 0
+tensorSoftmax 0.061714 0
+
+Iteration Compute Time : 17.2407
+Iteration Compute Energy : 0
+Iteration Control Time : 0.003668
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 6
+tensorConvApprox 1.82429 0
+tensorAdd 0.44533 0
+tensorTanh 0.351841 0
+tensorPooling 0.600554 0
+tensorConvApprox 4.14289 0
+tensorAdd 0.231937 0
+tensorTanh 0.192854 0
+tensorPooling 2.85679 0
+tensorGemmGPU 5.99538 0
+tensorAdd 0.054926 0
+tensorTanh 0.051151 0
+tensorGemmGPU 0.061088 0
+tensorAdd 0.029034 0
+tensorTanh 0.02669 0
+tensorSoftmax 0.060528 0
+
+Iteration Compute Time : 16.9253
+Iteration Compute Energy : 0
+Iteration Control Time : 0.005307
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 7
+tensorConvApprox 2.13797 0
+tensorAdd 0.429507 0
+tensorTanh 0.352014 0
+tensorPooling 0.618328 0
+tensorConvApprox 4.14262 0
+tensorAdd 0.232351 0
+tensorTanh 0.190901 0
+tensorPooling 2.86305 0
+tensorGemmGPU 5.987 0
+tensorAdd 0.038235 0
+tensorTanh 0.056715 0
+tensorGemmGPU 0.061687 0
+tensorAdd 0.029672 0
+tensorTanh 0.026452 0
+tensorSoftmax 0.055436 0
+
+Iteration Compute Time : 17.2219
+Iteration Compute Energy : 0
+Iteration Control Time : 0.00304
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 8
+tensorConvApprox 2.13125 0
+tensorAdd 0.43017 0
+tensorTanh 0.349552 0
+tensorPooling 0.629309 0
+tensorConvApprox 4.14273 0
+tensorAdd 0.230749 0
+tensorTanh 0.192302 0
+tensorPooling 2.85987 0
+tensorGemmGPU 5.99766 0
+tensorAdd 0.085454 0
+tensorTanh 0.036366 0
+tensorGemmGPU 0.060603 0
+tensorAdd 0.029606 0
+tensorTanh 0.026211 0
+tensorSoftmax 0.059686 0
+
+Iteration Compute Time : 17.2615
+Iteration Compute Energy : 0
+Iteration Control Time : 0.003059
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 9
+tensorConvApprox 2.0848 0
+tensorAdd 0.426078 0
+tensorTanh 0.353645 0
+tensorPooling 0.606797 0
+tensorConvApprox 4.14061 0
+tensorAdd 0.230706 0
+tensorTanh 0.194702 0
+tensorPooling 2.85923 0
+tensorGemmGPU 7.87428 0
+tensorAdd 0.0483 0
+tensorTanh 0.057597 0
+tensorGemmGPU 0.097555 0
+tensorAdd 0.030458 0
+tensorTanh 0.026562 0
+tensorSoftmax 0.05868 0
+
+Iteration Compute Time : 19.09
+Iteration Compute Energy : 0
+Iteration Control Time : 0.006407
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+
+
+Total Compute Time : 172.733
+Total Compute Energy: -2.46372e+228
+
+Total Control Time : 0.051506
+Total Control Energy: -1.20767e+170
+
+Total Config Time : 3.46535e-315
+Total Config Energy: 1.50326e-269
+
+Total Time : 172.784
+Total Energy: 0
diff --git a/hpvm/test/dnn_benchmarks/benchmarks/lenet_mnist/lenet_mnist.cpp b/hpvm/test/dnn_benchmarks/benchmarks/lenet_mnist/lenet_mnist.cpp
index f24be84b318789ab0275bae0f1e552b1c5cf5c81..3613e9f1325d73e7515a88f3e198bcd32821224c 100644
--- a/hpvm/test/dnn_benchmarks/benchmarks/lenet_mnist/lenet_mnist.cpp
+++ b/hpvm/test/dnn_benchmarks/benchmarks/lenet_mnist/lenet_mnist.cpp
@@ -269,30 +269,30 @@ int main() {
std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/lenet_mnist/";
std::string input_path = dir_prefix + std::string("input.bin");
- std::string labels_path = dir_prefix + std::string("labels32.bin");
+ std::string labels_path = dir_prefix + std::string("labels.bin");
- std::string conv2d_1_w_path = dir_prefix + std::string("conv1.bin");
+ std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 32, 1, 5, 5);
- std::string conv2d_1_b_path = dir_prefix + std::string("conv1_bias.bin");
+ std::string conv2d_1_b_path = dir_prefix + std::string("conv2d_1_b.bin");
void *conv2d_1_b =
readTrainedWeights(conv2d_1_b_path.c_str(), 0, 1, 32, 1, 1);
- std::string conv2d_2_w_path = dir_prefix + std::string("conv2.bin");
+ std::string conv2d_2_w_path = dir_prefix + std::string("conv2d_2_w.bin");
void *conv2d_2_w =
readTrainedWeights(conv2d_2_w_path.c_str(), 0, 64, 32, 5, 5);
- std::string conv2d_2_b_path = dir_prefix + std::string("conv2_bias.bin");
+ std::string conv2d_2_b_path = dir_prefix + std::string("conv2d_2_b.bin");
void *conv2d_2_b =
readTrainedWeights(conv2d_2_b_path.c_str(), 0, 1, 64, 1, 1);
- std::string dense_1_w_path = dir_prefix + std::string("fc1.bin");
+ std::string dense_1_w_path = dir_prefix + std::string("dense_1_w.bin");
void *dense_1_w =
readTrainedWeights(dense_1_w_path.c_str(), 0, 1, 1, 3136, 1024);
- std::string dense_1_b_path = dir_prefix + std::string("fc1_bias.bin");
+ std::string dense_1_b_path = dir_prefix + std::string("dense_1_b.bin");
void *dense_1_b =
readTrainedWeights(dense_1_b_path.c_str(), 0, 1, 1024, 1, 1);
- std::string dense_2_w_path = dir_prefix + std::string("fc2.bin");
+ std::string dense_2_w_path = dir_prefix + std::string("dense_2_w.bin");
void *dense_2_w =
readTrainedWeights(dense_2_w_path.c_str(), 0, 1, 1, 1024, 10);
- std::string dense_2_b_path = dir_prefix + std::string("fc2_bias.bin");
+ std::string dense_2_b_path = dir_prefix + std::string("dense_2_b.bin");
void *dense_2_b = readTrainedWeights(dense_2_b_path.c_str(), 0, 1, 10, 1, 1);
void *input = readTrainedWeights(input_path.c_str(), 0, 5000, 1, 28, 28);
diff --git a/hpvm/test/dnn_benchmarks/benchmarks/lenet_mnist/lenet_mnist_loop.cpp b/hpvm/test/dnn_benchmarks/benchmarks/lenet_mnist/lenet_mnist_loop.cpp
index a4dc5eb9c290b234407bdb723b1bab503c11dcec..9a8bfbc68fcaad4b369223c53e98121e9934b27d 100644
--- a/hpvm/test/dnn_benchmarks/benchmarks/lenet_mnist/lenet_mnist_loop.cpp
+++ b/hpvm/test/dnn_benchmarks/benchmarks/lenet_mnist/lenet_mnist_loop.cpp
@@ -269,30 +269,30 @@ int main() {
std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/lenet_mnist/";
std::string input_path = dir_prefix + std::string("input.bin");
- std::string labels_path = dir_prefix + std::string("labels32.bin");
+ std::string labels_path = dir_prefix + std::string("labels.bin");
- std::string conv2d_1_w_path = dir_prefix + std::string("conv1.bin");
+ std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 32, 1, 5, 5);
- std::string conv2d_1_b_path = dir_prefix + std::string("conv1_bias.bin");
+ std::string conv2d_1_b_path = dir_prefix + std::string("conv2d_1_b.bin");
void *conv2d_1_b =
readTrainedWeights(conv2d_1_b_path.c_str(), 0, 1, 32, 1, 1);
- std::string conv2d_2_w_path = dir_prefix + std::string("conv2.bin");
+ std::string conv2d_2_w_path = dir_prefix + std::string("conv2d_2_w.bin");
void *conv2d_2_w =
readTrainedWeights(conv2d_2_w_path.c_str(), 0, 64, 32, 5, 5);
- std::string conv2d_2_b_path = dir_prefix + std::string("conv2_bias.bin");
+ std::string conv2d_2_b_path = dir_prefix + std::string("conv2d_2_b.bin");
void *conv2d_2_b =
readTrainedWeights(conv2d_2_b_path.c_str(), 0, 1, 64, 1, 1);
- std::string dense_1_w_path = dir_prefix + std::string("fc1.bin");
+ std::string dense_1_w_path = dir_prefix + std::string("dense_1_w.bin");
void *dense_1_w =
readTrainedWeights(dense_1_w_path.c_str(), 0, 1, 1, 3136, 1024);
- std::string dense_1_b_path = dir_prefix + std::string("fc1_bias.bin");
+ std::string dense_1_b_path = dir_prefix + std::string("dense_1_b.bin");
void *dense_1_b =
readTrainedWeights(dense_1_b_path.c_str(), 0, 1, 1024, 1, 1);
- std::string dense_2_w_path = dir_prefix + std::string("fc2.bin");
+ std::string dense_2_w_path = dir_prefix + std::string("dense_2_w.bin");
void *dense_2_w =
readTrainedWeights(dense_2_w_path.c_str(), 0, 1, 1, 1024, 10);
- std::string dense_2_b_path = dir_prefix + std::string("fc2_bias.bin");
+ std::string dense_2_b_path = dir_prefix + std::string("dense_2_b.bin");
void *dense_2_b = readTrainedWeights(dense_2_b_path.c_str(), 0, 1, 10, 1, 1);
// void* input = readTrainedWeights(input_path.c_str(), 0, 5000,1,28,28);
diff --git a/hpvm/test/dnn_benchmarks/benchmarks/resnet18/data/profile_info_0.txt b/hpvm/test/dnn_benchmarks/benchmarks/resnet18/data/profile_info_0.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2b9cbc2f7daf2f49697a5b9ba91e8985b1a665e3
--- /dev/null
+++ b/hpvm/test/dnn_benchmarks/benchmarks/resnet18/data/profile_info_0.txt
@@ -0,0 +1,863 @@
+Iteration 0
+tensorConvApprox 2.33737 0
+tensorAdd 0.327479 0
+tensorRelu 0.247792 0
+tensorConvApprox 7.67175 0
+tensorAdd 0.27661 0
+tensorRelu 0.235999 0
+tensorConvApprox 14.7984 0
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+tensorRelu 0.252159 0
+tensorConvApprox 17.3045 0
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+tensorAdd 0.270402 0
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+tensorAdd 0.27305 0
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+tensorRelu 0.247749 0
+tensorConvApprox 9.40482 0
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+tensorConvApprox 2.78121 0
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+tensorRelu 0.133633 0
+tensorConvApprox 6.2096 0
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+tensorConvApprox 6.4451 0
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+tensorConvApprox 15.1468 0
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+tensorRelu 0.152683 0
+tensorConvApprox 2.24402 0
+tensorAdd 0.113873 0
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+tensorConvApprox 1.49861 0
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+tensorConvApprox 1.70687 0
+tensorAdd 0.115113 0
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+tensorRelu 0.079425 0
+tensorConvApprox 1.7923 0
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+tensorAdd 0.113469 0
+tensorRelu 0.081053 0
+tensorPooling 0.138221 0
+tensorGemmGPU 0.091396 0
+tensorAdd 0.040766 0
+tensorSoftmax 0.072211 0
+
+Iteration Compute Time : 156.993
+Iteration Compute Energy : 0
+Iteration Control Time : 0.006608
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 1
+tensorConvApprox 4.42407 0
+tensorAdd 0.345206 0
+tensorRelu 0.275761 0
+tensorConvApprox 8.33795 0
+tensorAdd 0.275548 0
+tensorRelu 0.237153 0
+tensorConvApprox 14.4978 0
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+tensorRelu 0.248529 0
+tensorConvApprox 13.8383 0
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+tensorRelu 0.244419 0
+tensorConvApprox 13.8405 0
+tensorAdd 0.45259 0
+tensorAdd 0.361678 0
+tensorRelu 0.261311 0
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+tensorRelu 0.240319 0
+tensorConvApprox 13.8765 0
+tensorAdd 0.285259 0
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+tensorRelu 0.255163 0
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+tensorConvApprox 5.71485 0
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+tensorRelu 0.147404 0
+tensorConvApprox 6.47716 0
+tensorAdd 0.193795 0
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+tensorRelu 0.155336 0
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+tensorConvApprox 1.29845 0
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+tensorAdd 0.299177 0
+tensorRelu 0.082001 0
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+tensorRelu 0.082838 0
+tensorConvApprox 3.14379 0
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+tensorRelu 0.082197 0
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+tensorAdd 0.135938 0
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+tensorAdd 0.10939 0
+tensorAdd 0.319667 0
+tensorRelu 0.091695 0
+tensorPooling 0.133715 0
+tensorGemmGPU 0.083721 0
+tensorAdd 0.052048 0
+tensorSoftmax 0.066041 0
+
+Iteration Compute Time : 155.967
+Iteration Compute Energy : 0
+Iteration Control Time : 0.007162
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 2
+tensorConvApprox 2.59329 0
+tensorAdd 0.320785 0
+tensorRelu 0.290665 0
+tensorConvApprox 7.90202 0
+tensorAdd 5.80708 0
+tensorRelu 0.310085 0
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+tensorAdd 0.314856 0
+tensorAdd 0.408835 0
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+tensorPooling 0.204828 0
+tensorGemmGPU 0.117355 0
+tensorAdd 0.056671 0
+tensorSoftmax 0.150615 0
+
+Iteration Compute Time : 144.117
+Iteration Compute Energy : 0
+Iteration Control Time : 0.008305
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 3
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+Total Compute Time : 1397.93
+Total Compute Energy: -1.01746e+236
+
+Total Control Time : 0.070948
+Total Control Energy: 3.67342e-38
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+Total Config Time : 3.44664e-315
+Total Config Energy: 5.11518e-231
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+Total Time : 1398
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diff --git a/hpvm/test/dnn_benchmarks/benchmarks/resnet18/resnet18.cpp b/hpvm/test/dnn_benchmarks/benchmarks/resnet18/resnet18.cpp
index 9941ac977111ccbc39c4a06c3656415aafb03abd..d9f96cfdac18876b676369ba2c7c0e8f4e2ea986 100644
--- a/hpvm/test/dnn_benchmarks/benchmarks/resnet18/resnet18.cpp
+++ b/hpvm/test/dnn_benchmarks/benchmarks/resnet18/resnet18.cpp
@@ -1232,7 +1232,7 @@ int main() {
std::string input_path = dir_prefix + std::string("input.bin");
void *input = readTrainedWeights(input_path.c_str(), 0, 5000, 3, 32, 32);
- std::string labels_path = dir_prefix + std::string("labels32.bin");
+ std::string labels_path = dir_prefix + std::string("labels.bin");
uint32_t *labels = readLabels3(labels_path.c_str(), 5000);
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
diff --git a/hpvm/test/dnn_benchmarks/benchmarks/resnet18/resnet18_loop.cpp b/hpvm/test/dnn_benchmarks/benchmarks/resnet18/resnet18_loop.cpp
index a0e62d3b5859550d74b7960714ed3d69d81b5fd7..6bf5a58135d7fe7101c359a29f8909937d9bc8c7 100644
--- a/hpvm/test/dnn_benchmarks/benchmarks/resnet18/resnet18_loop.cpp
+++ b/hpvm/test/dnn_benchmarks/benchmarks/resnet18/resnet18_loop.cpp
@@ -1305,7 +1305,7 @@ int main() {
std::string input_path = dir_prefix + std::string("input.bin");
// void* input = readTrainedWeights(input_path.c_str(), 0,5000,3,32,32);
- std::string labels_path = dir_prefix + std::string("labels32.bin");
+ std::string labels_path = dir_prefix + std::string("labels.bin");
// uint32_t* labels = readLabels3(labels_path.c_str(),5000);
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
diff --git a/hpvm/test/dnn_benchmarks/benchmarks/resnet50_imagenet/data/profile_info_0.txt b/hpvm/test/dnn_benchmarks/benchmarks/resnet50_imagenet/data/profile_info_0.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7be51becb7190821a01ed0ee4d83a09429f0f3d7
--- /dev/null
+++ b/hpvm/test/dnn_benchmarks/benchmarks/resnet50_imagenet/data/profile_info_0.txt
@@ -0,0 +1,4813 @@
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diff --git a/hpvm/test/dnn_benchmarks/benchmarks/resnet50_imagenet/data/profile_info_1.txt b/hpvm/test/dnn_benchmarks/benchmarks/resnet50_imagenet/data/profile_info_1.txt
new file mode 100644
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diff --git a/hpvm/test/dnn_benchmarks/benchmarks/resnet50_imagenet/data/profile_info_2.txt b/hpvm/test/dnn_benchmarks/benchmarks/resnet50_imagenet/data/profile_info_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7d0c1b188d82c02610a7a678fbd40f657fdce0f7
--- /dev/null
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+Iteration Compute Time : 253.319
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+
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+Total Compute Time : 5034.52
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+Total Control Time : 0.143515
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+Total Config Time : 3.91552e-315
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+Total Time : 5034.67
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diff --git a/hpvm/test/dnn_benchmarks/benchmarks/vgg16_cifar10/vgg16_cifar10.cpp b/hpvm/test/dnn_benchmarks/benchmarks/vgg16_cifar10/vgg16_cifar10.cpp
index 78b762a210fa8f42ea59581cfc49c15d99ea14a7..f1533c75b4b838f5b86dfbf915cfd359b9682636 100644
--- a/hpvm/test/dnn_benchmarks/benchmarks/vgg16_cifar10/vgg16_cifar10.cpp
+++ b/hpvm/test/dnn_benchmarks/benchmarks/vgg16_cifar10/vgg16_cifar10.cpp
@@ -831,7 +831,7 @@ int main() {
std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/vgg16_cifar10/";
std::string input_path = dir_prefix + std::string("input.bin");
- std::string labels_path = dir_prefix + std::string("labels32.bin");
+ std::string labels_path = dir_prefix + std::string("labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 64, 3, 3, 3);
diff --git a/hpvm/test/dnn_benchmarks/benchmarks/vgg16_cifar10/vgg16_cifar10_loop.cpp b/hpvm/test/dnn_benchmarks/benchmarks/vgg16_cifar10/vgg16_cifar10_loop.cpp
index 11b67b1e5cbf06644f8318aa0b194623b33e4d61..059bff6d22a51853090700072d4cf3915ed5f796 100644
--- a/hpvm/test/dnn_benchmarks/benchmarks/vgg16_cifar10/vgg16_cifar10_loop.cpp
+++ b/hpvm/test/dnn_benchmarks/benchmarks/vgg16_cifar10/vgg16_cifar10_loop.cpp
@@ -831,7 +831,7 @@ int main() {
std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/vgg16_cifar10/";
std::string input_path = dir_prefix + std::string("input.bin");
- std::string labels_path = dir_prefix + std::string("labels32.bin");
+ std::string labels_path = dir_prefix + std::string("labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 64, 3, 3, 3);
diff --git a/hpvm/test/dnn_benchmarks/benchmarks/vgg16_cifar100/data/profile_info_0.txt b/hpvm/test/dnn_benchmarks/benchmarks/vgg16_cifar100/data/profile_info_0.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a810ee49f2a6247be25cd6a74bb6e861211a66bc
--- /dev/null
+++ b/hpvm/test/dnn_benchmarks/benchmarks/vgg16_cifar100/data/profile_info_0.txt
@@ -0,0 +1,8553 @@
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+
+Iteration Compute Time : 121.457
+Iteration Compute Energy : 0
+Iteration Control Time : 0.004338
+Iteration Control Energy : 0
+Iteration Config Time : 0
+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 1
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+
+Iteration Compute Time : 137.782
+Iteration Compute Energy : 0
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+Iteration Control Energy : 0
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+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
+
+Iteration 2
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+Iteration Compute Energy : 0
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+Iteration Control Energy : 0
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+Iteration Config Energy : 0
+Iteration End Frequency : 0
+
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+Iteration 3
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+
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+Iteration 4
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diff --git a/hpvm/test/dnn_benchmarks/benchmarks/vgg16_cifar100/vgg16_cifar100.cpp b/hpvm/test/dnn_benchmarks/benchmarks/vgg16_cifar100/vgg16_cifar100.cpp
index f931cc76b4730f52942afaa99b460b469b72d245..41fe9ae0f34c5c5086f8c16491f5035d5a382702 100644
--- a/hpvm/test/dnn_benchmarks/benchmarks/vgg16_cifar100/vgg16_cifar100.cpp
+++ b/hpvm/test/dnn_benchmarks/benchmarks/vgg16_cifar100/vgg16_cifar100.cpp
@@ -832,7 +832,7 @@ int main() {
std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/vgg16_cifar100/";
std::string input_path = dir_prefix + std::string("input.bin");
- std::string labels_path = dir_prefix + std::string("labels32.bin");
+ std::string labels_path = dir_prefix + std::string("labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 64, 3, 3, 3);
diff --git a/hpvm/test/dnn_benchmarks/benchmarks/vgg16_cifar100/vgg16_cifar100_loop.cpp b/hpvm/test/dnn_benchmarks/benchmarks/vgg16_cifar100/vgg16_cifar100_loop.cpp
index 3f2175a7f4e78e284cde699041788e1b641b3bc9..3a853d3a0f5399057164594951a884222a02e105 100644
--- a/hpvm/test/dnn_benchmarks/benchmarks/vgg16_cifar100/vgg16_cifar100_loop.cpp
+++ b/hpvm/test/dnn_benchmarks/benchmarks/vgg16_cifar100/vgg16_cifar100_loop.cpp
@@ -832,7 +832,7 @@ int main() {
std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/vgg16_cifar100/";
std::string input_path = dir_prefix + std::string("input.bin");
- std::string labels_path = dir_prefix + std::string("labels32.bin");
+ std::string labels_path = dir_prefix + std::string("labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 64, 3, 3, 3);
diff --git a/hpvm/test/dnn_benchmarks/benchmarks/vgg16_imagenet/data/profile_info_0.txt b/hpvm/test/dnn_benchmarks/benchmarks/vgg16_imagenet/data/profile_info_0.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8a9b7f021b5efdb5196694d69d0303186718497a
--- /dev/null
+++ b/hpvm/test/dnn_benchmarks/benchmarks/vgg16_imagenet/data/profile_info_0.txt
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+Total Compute Time : 13073.8
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+Total Control Time : 0.145928
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diff --git a/hpvm/test/dnn_benchmarks/benchmarks/vgg16_imagenet/vgg16_imagenet_loop.cpp b/hpvm/test/dnn_benchmarks/benchmarks/vgg16_imagenet/vgg16_imagenet_loop.cpp
index 18eb7a58dbc7bba593b998f5b3cc84ac8077bebe..2bd129300adc5ffb609df1e46c951630d682b883 100644
--- a/hpvm/test/dnn_benchmarks/benchmarks/vgg16_imagenet/vgg16_imagenet_loop.cpp
+++ b/hpvm/test/dnn_benchmarks/benchmarks/vgg16_imagenet/vgg16_imagenet_loop.cpp
@@ -878,7 +878,7 @@ typedef struct __attribute__((__packed__)) {
int main() {
std::string dir_prefix =
- std::string(MODEL_PARAMS_DIR) + "/vgg16_imagenet_tune/";
+ std::string(MODEL_PARAMS_DIR) + "/vgg16_imagenet/";
std::string input_path = dir_prefix + std::string("input.bin");
std::string labels_path = dir_prefix + std::string("labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");