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diff --git a/llvm/projects/hpvm-tensor-rt/model_params/mobilenet_data/labels.bin b/llvm/projects/hpvm-tensor-rt/model_params/mobilenet_data/labels.bin
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diff --git a/llvm/projects/hpvm-tensor-rt/model_params/mobilenet_data/src.cc b/llvm/projects/hpvm-tensor-rt/model_params/mobilenet_data/src.cc
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--- /dev/null
+++ b/llvm/projects/hpvm-tensor-rt/model_params/mobilenet_data/src.cc
@@ -0,0 +1,413 @@
+
+#include <stdio.h>
+#include <stdlib.h>
+#include <unistd.h>
+#include <fcntl.h>
+#include <sys/types.h>
+#include <sys/stat.h>
+#include <string.h>
+#include "../../tensor_runtime/include/tensor_runtime.h"
+#include "../include/utils.h"
+
+int main(){
+
+ llvm_hpvm_initTensorRt(1);
+
+
+ std::string dir_prefix = std::string("data/mobilenet_hpvm_5/");
+ 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(), 0,32,3,3,3);
+ std::string batch_normalization_1_gamma_path = dir_prefix + std::string("batch_normalization_1_gamma.bin");
+ void* batch_normalization_1_gamma = readTrainedWeights(batch_normalization_1_gamma_path.c_str(), 0,1,32,1,1);
+ std::string batch_normalization_1_beta_path = dir_prefix + std::string("batch_normalization_1_beta.bin");
+ void* batch_normalization_1_beta = readTrainedWeights(batch_normalization_1_beta_path.c_str(), 0,1,32,1,1);
+ std::string batch_normalization_1_mean_path = dir_prefix + std::string("batch_normalization_1_mean.bin");
+ void* batch_normalization_1_mean = readTrainedWeights(batch_normalization_1_mean_path.c_str(), 0,1,32,1,1);
+ std::string batch_normalization_1_variance_path = dir_prefix + std::string("batch_normalization_1_variance.bin");
+ void* batch_normalization_1_variance = readTrainedWeights(batch_normalization_1_variance_path.c_str(), 0,1,32,1,1);
+ std::string depthwise_conv2d_1_w_path = dir_prefix + std::string("depthwise_conv2d_1_w.bin");
+ void* depthwise_conv2d_1_w = readTrainedWeights(depthwise_conv2d_1_w_path.c_str(), 0,32,1,3,3);
+ std::string batch_normalization_2_gamma_path = dir_prefix + std::string("batch_normalization_2_gamma.bin");
+ void* batch_normalization_2_gamma = readTrainedWeights(batch_normalization_2_gamma_path.c_str(), 0,1,32,1,1);
+ std::string batch_normalization_2_beta_path = dir_prefix + std::string("batch_normalization_2_beta.bin");
+ void* batch_normalization_2_beta = readTrainedWeights(batch_normalization_2_beta_path.c_str(), 0,1,32,1,1);
+ std::string batch_normalization_2_mean_path = dir_prefix + std::string("batch_normalization_2_mean.bin");
+ void* batch_normalization_2_mean = readTrainedWeights(batch_normalization_2_mean_path.c_str(), 0,1,32,1,1);
+ std::string batch_normalization_2_variance_path = dir_prefix + std::string("batch_normalization_2_variance.bin");
+ void* batch_normalization_2_variance = readTrainedWeights(batch_normalization_2_variance_path.c_str(), 0,1,32,1,1);
+ 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(), 0,64,32,1,1);
+ std::string batch_normalization_3_gamma_path = dir_prefix + std::string("batch_normalization_3_gamma.bin");
+ void* batch_normalization_3_gamma = readTrainedWeights(batch_normalization_3_gamma_path.c_str(), 0,1,64,1,1);
+ std::string batch_normalization_3_beta_path = dir_prefix + std::string("batch_normalization_3_beta.bin");
+ void* batch_normalization_3_beta = readTrainedWeights(batch_normalization_3_beta_path.c_str(), 0,1,64,1,1);
+ std::string batch_normalization_3_mean_path = dir_prefix + std::string("batch_normalization_3_mean.bin");
+ void* batch_normalization_3_mean = readTrainedWeights(batch_normalization_3_mean_path.c_str(), 0,1,64,1,1);
+ std::string batch_normalization_3_variance_path = dir_prefix + std::string("batch_normalization_3_variance.bin");
+ void* batch_normalization_3_variance = readTrainedWeights(batch_normalization_3_variance_path.c_str(), 0,1,64,1,1);
+ std::string depthwise_conv2d_2_w_path = dir_prefix + std::string("depthwise_conv2d_2_w.bin");
+ void* depthwise_conv2d_2_w = readTrainedWeights(depthwise_conv2d_2_w_path.c_str(), 0,64,1,3,3);
+ std::string batch_normalization_4_gamma_path = dir_prefix + std::string("batch_normalization_4_gamma.bin");
+ void* batch_normalization_4_gamma = readTrainedWeights(batch_normalization_4_gamma_path.c_str(), 0,1,64,1,1);
+ std::string batch_normalization_4_beta_path = dir_prefix + std::string("batch_normalization_4_beta.bin");
+ void* batch_normalization_4_beta = readTrainedWeights(batch_normalization_4_beta_path.c_str(), 0,1,64,1,1);
+ std::string batch_normalization_4_mean_path = dir_prefix + std::string("batch_normalization_4_mean.bin");
+ void* batch_normalization_4_mean = readTrainedWeights(batch_normalization_4_mean_path.c_str(), 0,1,64,1,1);
+ std::string batch_normalization_4_variance_path = dir_prefix + std::string("batch_normalization_4_variance.bin");
+ void* batch_normalization_4_variance = readTrainedWeights(batch_normalization_4_variance_path.c_str(), 0,1,64,1,1);
+ std::string conv2d_3_w_path = dir_prefix + std::string("conv2d_3_w.bin");
+ void* conv2d_3_w = readTrainedWeights(conv2d_3_w_path.c_str(), 0,128,64,1,1);
+ std::string batch_normalization_5_gamma_path = dir_prefix + std::string("batch_normalization_5_gamma.bin");
+ void* batch_normalization_5_gamma = readTrainedWeights(batch_normalization_5_gamma_path.c_str(), 0,1,128,1,1);
+ std::string batch_normalization_5_beta_path = dir_prefix + std::string("batch_normalization_5_beta.bin");
+ void* batch_normalization_5_beta = readTrainedWeights(batch_normalization_5_beta_path.c_str(), 0,1,128,1,1);
+ std::string batch_normalization_5_mean_path = dir_prefix + std::string("batch_normalization_5_mean.bin");
+ void* batch_normalization_5_mean = readTrainedWeights(batch_normalization_5_mean_path.c_str(), 0,1,128,1,1);
+ std::string batch_normalization_5_variance_path = dir_prefix + std::string("batch_normalization_5_variance.bin");
+ void* batch_normalization_5_variance = readTrainedWeights(batch_normalization_5_variance_path.c_str(), 0,1,128,1,1);
+ std::string depthwise_conv2d_3_w_path = dir_prefix + std::string("depthwise_conv2d_3_w.bin");
+ void* depthwise_conv2d_3_w = readTrainedWeights(depthwise_conv2d_3_w_path.c_str(), 0,128,1,3,3);
+ std::string batch_normalization_6_gamma_path = dir_prefix + std::string("batch_normalization_6_gamma.bin");
+ void* batch_normalization_6_gamma = readTrainedWeights(batch_normalization_6_gamma_path.c_str(), 0,1,128,1,1);
+ std::string batch_normalization_6_beta_path = dir_prefix + std::string("batch_normalization_6_beta.bin");
+ void* batch_normalization_6_beta = readTrainedWeights(batch_normalization_6_beta_path.c_str(), 0,1,128,1,1);
+ std::string batch_normalization_6_mean_path = dir_prefix + std::string("batch_normalization_6_mean.bin");
+ void* batch_normalization_6_mean = readTrainedWeights(batch_normalization_6_mean_path.c_str(), 0,1,128,1,1);
+ std::string batch_normalization_6_variance_path = dir_prefix + std::string("batch_normalization_6_variance.bin");
+ void* batch_normalization_6_variance = readTrainedWeights(batch_normalization_6_variance_path.c_str(), 0,1,128,1,1);
+ std::string conv2d_4_w_path = dir_prefix + std::string("conv2d_4_w.bin");
+ void* conv2d_4_w = readTrainedWeights(conv2d_4_w_path.c_str(), 0,128,128,1,1);
+ std::string batch_normalization_7_gamma_path = dir_prefix + std::string("batch_normalization_7_gamma.bin");
+ void* batch_normalization_7_gamma = readTrainedWeights(batch_normalization_7_gamma_path.c_str(), 0,1,128,1,1);
+ std::string batch_normalization_7_beta_path = dir_prefix + std::string("batch_normalization_7_beta.bin");
+ void* batch_normalization_7_beta = readTrainedWeights(batch_normalization_7_beta_path.c_str(), 0,1,128,1,1);
+ std::string batch_normalization_7_mean_path = dir_prefix + std::string("batch_normalization_7_mean.bin");
+ void* batch_normalization_7_mean = readTrainedWeights(batch_normalization_7_mean_path.c_str(), 0,1,128,1,1);
+ std::string batch_normalization_7_variance_path = dir_prefix + std::string("batch_normalization_7_variance.bin");
+ void* batch_normalization_7_variance = readTrainedWeights(batch_normalization_7_variance_path.c_str(), 0,1,128,1,1);
+ std::string depthwise_conv2d_4_w_path = dir_prefix + std::string("depthwise_conv2d_4_w.bin");
+ void* depthwise_conv2d_4_w = readTrainedWeights(depthwise_conv2d_4_w_path.c_str(), 0,128,1,3,3);
+ std::string batch_normalization_8_gamma_path = dir_prefix + std::string("batch_normalization_8_gamma.bin");
+ void* batch_normalization_8_gamma = readTrainedWeights(batch_normalization_8_gamma_path.c_str(), 0,1,128,1,1);
+ std::string batch_normalization_8_beta_path = dir_prefix + std::string("batch_normalization_8_beta.bin");
+ void* batch_normalization_8_beta = readTrainedWeights(batch_normalization_8_beta_path.c_str(), 0,1,128,1,1);
+ std::string batch_normalization_8_mean_path = dir_prefix + std::string("batch_normalization_8_mean.bin");
+ void* batch_normalization_8_mean = readTrainedWeights(batch_normalization_8_mean_path.c_str(), 0,1,128,1,1);
+ std::string batch_normalization_8_variance_path = dir_prefix + std::string("batch_normalization_8_variance.bin");
+ void* batch_normalization_8_variance = readTrainedWeights(batch_normalization_8_variance_path.c_str(), 0,1,128,1,1);
+ std::string conv2d_5_w_path = dir_prefix + std::string("conv2d_5_w.bin");
+ void* conv2d_5_w = readTrainedWeights(conv2d_5_w_path.c_str(), 0,256,128,1,1);
+ std::string batch_normalization_9_gamma_path = dir_prefix + std::string("batch_normalization_9_gamma.bin");
+ void* batch_normalization_9_gamma = readTrainedWeights(batch_normalization_9_gamma_path.c_str(), 0,1,256,1,1);
+ std::string batch_normalization_9_beta_path = dir_prefix + std::string("batch_normalization_9_beta.bin");
+ void* batch_normalization_9_beta = readTrainedWeights(batch_normalization_9_beta_path.c_str(), 0,1,256,1,1);
+ std::string batch_normalization_9_mean_path = dir_prefix + std::string("batch_normalization_9_mean.bin");
+ void* batch_normalization_9_mean = readTrainedWeights(batch_normalization_9_mean_path.c_str(), 0,1,256,1,1);
+ std::string batch_normalization_9_variance_path = dir_prefix + std::string("batch_normalization_9_variance.bin");
+ void* batch_normalization_9_variance = readTrainedWeights(batch_normalization_9_variance_path.c_str(), 0,1,256,1,1);
+ std::string depthwise_conv2d_5_w_path = dir_prefix + std::string("depthwise_conv2d_5_w.bin");
+ void* depthwise_conv2d_5_w = readTrainedWeights(depthwise_conv2d_5_w_path.c_str(), 0,256,1,3,3);
+ std::string batch_normalization_10_gamma_path = dir_prefix + std::string("batch_normalization_10_gamma.bin");
+ void* batch_normalization_10_gamma = readTrainedWeights(batch_normalization_10_gamma_path.c_str(), 0,1,256,1,1);
+ std::string batch_normalization_10_beta_path = dir_prefix + std::string("batch_normalization_10_beta.bin");
+ void* batch_normalization_10_beta = readTrainedWeights(batch_normalization_10_beta_path.c_str(), 0,1,256,1,1);
+ std::string batch_normalization_10_mean_path = dir_prefix + std::string("batch_normalization_10_mean.bin");
+ void* batch_normalization_10_mean = readTrainedWeights(batch_normalization_10_mean_path.c_str(), 0,1,256,1,1);
+ std::string batch_normalization_10_variance_path = dir_prefix + std::string("batch_normalization_10_variance.bin");
+ void* batch_normalization_10_variance = readTrainedWeights(batch_normalization_10_variance_path.c_str(), 0,1,256,1,1);
+ std::string conv2d_6_w_path = dir_prefix + std::string("conv2d_6_w.bin");
+ void* conv2d_6_w = readTrainedWeights(conv2d_6_w_path.c_str(), 0,256,256,1,1);
+ std::string batch_normalization_11_gamma_path = dir_prefix + std::string("batch_normalization_11_gamma.bin");
+ void* batch_normalization_11_gamma = readTrainedWeights(batch_normalization_11_gamma_path.c_str(), 0,1,256,1,1);
+ std::string batch_normalization_11_beta_path = dir_prefix + std::string("batch_normalization_11_beta.bin");
+ void* batch_normalization_11_beta = readTrainedWeights(batch_normalization_11_beta_path.c_str(), 0,1,256,1,1);
+ std::string batch_normalization_11_mean_path = dir_prefix + std::string("batch_normalization_11_mean.bin");
+ void* batch_normalization_11_mean = readTrainedWeights(batch_normalization_11_mean_path.c_str(), 0,1,256,1,1);
+ std::string batch_normalization_11_variance_path = dir_prefix + std::string("batch_normalization_11_variance.bin");
+ void* batch_normalization_11_variance = readTrainedWeights(batch_normalization_11_variance_path.c_str(), 0,1,256,1,1);
+ std::string depthwise_conv2d_6_w_path = dir_prefix + std::string("depthwise_conv2d_6_w.bin");
+ void* depthwise_conv2d_6_w = readTrainedWeights(depthwise_conv2d_6_w_path.c_str(), 0,256,1,3,3);
+ std::string batch_normalization_12_gamma_path = dir_prefix + std::string("batch_normalization_12_gamma.bin");
+ void* batch_normalization_12_gamma = readTrainedWeights(batch_normalization_12_gamma_path.c_str(), 0,1,256,1,1);
+ std::string batch_normalization_12_beta_path = dir_prefix + std::string("batch_normalization_12_beta.bin");
+ void* batch_normalization_12_beta = readTrainedWeights(batch_normalization_12_beta_path.c_str(), 0,1,256,1,1);
+ std::string batch_normalization_12_mean_path = dir_prefix + std::string("batch_normalization_12_mean.bin");
+ void* batch_normalization_12_mean = readTrainedWeights(batch_normalization_12_mean_path.c_str(), 0,1,256,1,1);
+ std::string batch_normalization_12_variance_path = dir_prefix + std::string("batch_normalization_12_variance.bin");
+ void* batch_normalization_12_variance = readTrainedWeights(batch_normalization_12_variance_path.c_str(), 0,1,256,1,1);
+ std::string conv2d_7_w_path = dir_prefix + std::string("conv2d_7_w.bin");
+ void* conv2d_7_w = readTrainedWeights(conv2d_7_w_path.c_str(), 0,512,256,1,1);
+ std::string batch_normalization_13_gamma_path = dir_prefix + std::string("batch_normalization_13_gamma.bin");
+ void* batch_normalization_13_gamma = readTrainedWeights(batch_normalization_13_gamma_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_13_beta_path = dir_prefix + std::string("batch_normalization_13_beta.bin");
+ void* batch_normalization_13_beta = readTrainedWeights(batch_normalization_13_beta_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_13_mean_path = dir_prefix + std::string("batch_normalization_13_mean.bin");
+ void* batch_normalization_13_mean = readTrainedWeights(batch_normalization_13_mean_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_13_variance_path = dir_prefix + std::string("batch_normalization_13_variance.bin");
+ void* batch_normalization_13_variance = readTrainedWeights(batch_normalization_13_variance_path.c_str(), 0,1,512,1,1);
+ std::string depthwise_conv2d_7_w_path = dir_prefix + std::string("depthwise_conv2d_7_w.bin");
+ void* depthwise_conv2d_7_w = readTrainedWeights(depthwise_conv2d_7_w_path.c_str(), 0,512,1,3,3);
+ std::string batch_normalization_14_gamma_path = dir_prefix + std::string("batch_normalization_14_gamma.bin");
+ void* batch_normalization_14_gamma = readTrainedWeights(batch_normalization_14_gamma_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_14_beta_path = dir_prefix + std::string("batch_normalization_14_beta.bin");
+ void* batch_normalization_14_beta = readTrainedWeights(batch_normalization_14_beta_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_14_mean_path = dir_prefix + std::string("batch_normalization_14_mean.bin");
+ void* batch_normalization_14_mean = readTrainedWeights(batch_normalization_14_mean_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_14_variance_path = dir_prefix + std::string("batch_normalization_14_variance.bin");
+ void* batch_normalization_14_variance = readTrainedWeights(batch_normalization_14_variance_path.c_str(), 0,1,512,1,1);
+ std::string conv2d_8_w_path = dir_prefix + std::string("conv2d_8_w.bin");
+ void* conv2d_8_w = readTrainedWeights(conv2d_8_w_path.c_str(), 0,512,512,1,1);
+ std::string batch_normalization_15_gamma_path = dir_prefix + std::string("batch_normalization_15_gamma.bin");
+ void* batch_normalization_15_gamma = readTrainedWeights(batch_normalization_15_gamma_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_15_beta_path = dir_prefix + std::string("batch_normalization_15_beta.bin");
+ void* batch_normalization_15_beta = readTrainedWeights(batch_normalization_15_beta_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_15_mean_path = dir_prefix + std::string("batch_normalization_15_mean.bin");
+ void* batch_normalization_15_mean = readTrainedWeights(batch_normalization_15_mean_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_15_variance_path = dir_prefix + std::string("batch_normalization_15_variance.bin");
+ void* batch_normalization_15_variance = readTrainedWeights(batch_normalization_15_variance_path.c_str(), 0,1,512,1,1);
+ std::string depthwise_conv2d_8_w_path = dir_prefix + std::string("depthwise_conv2d_8_w.bin");
+ void* depthwise_conv2d_8_w = readTrainedWeights(depthwise_conv2d_8_w_path.c_str(), 0,512,1,3,3);
+ std::string batch_normalization_16_gamma_path = dir_prefix + std::string("batch_normalization_16_gamma.bin");
+ void* batch_normalization_16_gamma = readTrainedWeights(batch_normalization_16_gamma_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_16_beta_path = dir_prefix + std::string("batch_normalization_16_beta.bin");
+ void* batch_normalization_16_beta = readTrainedWeights(batch_normalization_16_beta_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_16_mean_path = dir_prefix + std::string("batch_normalization_16_mean.bin");
+ void* batch_normalization_16_mean = readTrainedWeights(batch_normalization_16_mean_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_16_variance_path = dir_prefix + std::string("batch_normalization_16_variance.bin");
+ void* batch_normalization_16_variance = readTrainedWeights(batch_normalization_16_variance_path.c_str(), 0,1,512,1,1);
+ std::string conv2d_9_w_path = dir_prefix + std::string("conv2d_9_w.bin");
+ void* conv2d_9_w = readTrainedWeights(conv2d_9_w_path.c_str(), 0,512,512,1,1);
+ std::string batch_normalization_17_gamma_path = dir_prefix + std::string("batch_normalization_17_gamma.bin");
+ void* batch_normalization_17_gamma = readTrainedWeights(batch_normalization_17_gamma_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_17_beta_path = dir_prefix + std::string("batch_normalization_17_beta.bin");
+ void* batch_normalization_17_beta = readTrainedWeights(batch_normalization_17_beta_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_17_mean_path = dir_prefix + std::string("batch_normalization_17_mean.bin");
+ void* batch_normalization_17_mean = readTrainedWeights(batch_normalization_17_mean_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_17_variance_path = dir_prefix + std::string("batch_normalization_17_variance.bin");
+ void* batch_normalization_17_variance = readTrainedWeights(batch_normalization_17_variance_path.c_str(), 0,1,512,1,1);
+ std::string depthwise_conv2d_9_w_path = dir_prefix + std::string("depthwise_conv2d_9_w.bin");
+ void* depthwise_conv2d_9_w = readTrainedWeights(depthwise_conv2d_9_w_path.c_str(), 0,512,1,3,3);
+ std::string batch_normalization_18_gamma_path = dir_prefix + std::string("batch_normalization_18_gamma.bin");
+ void* batch_normalization_18_gamma = readTrainedWeights(batch_normalization_18_gamma_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_18_beta_path = dir_prefix + std::string("batch_normalization_18_beta.bin");
+ void* batch_normalization_18_beta = readTrainedWeights(batch_normalization_18_beta_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_18_mean_path = dir_prefix + std::string("batch_normalization_18_mean.bin");
+ void* batch_normalization_18_mean = readTrainedWeights(batch_normalization_18_mean_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_18_variance_path = dir_prefix + std::string("batch_normalization_18_variance.bin");
+ void* batch_normalization_18_variance = readTrainedWeights(batch_normalization_18_variance_path.c_str(), 0,1,512,1,1);
+ std::string conv2d_10_w_path = dir_prefix + std::string("conv2d_10_w.bin");
+ void* conv2d_10_w = readTrainedWeights(conv2d_10_w_path.c_str(), 0,512,512,1,1);
+ std::string batch_normalization_19_gamma_path = dir_prefix + std::string("batch_normalization_19_gamma.bin");
+ void* batch_normalization_19_gamma = readTrainedWeights(batch_normalization_19_gamma_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_19_beta_path = dir_prefix + std::string("batch_normalization_19_beta.bin");
+ void* batch_normalization_19_beta = readTrainedWeights(batch_normalization_19_beta_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_19_mean_path = dir_prefix + std::string("batch_normalization_19_mean.bin");
+ void* batch_normalization_19_mean = readTrainedWeights(batch_normalization_19_mean_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_19_variance_path = dir_prefix + std::string("batch_normalization_19_variance.bin");
+ void* batch_normalization_19_variance = readTrainedWeights(batch_normalization_19_variance_path.c_str(), 0,1,512,1,1);
+ std::string depthwise_conv2d_10_w_path = dir_prefix + std::string("depthwise_conv2d_10_w.bin");
+ void* depthwise_conv2d_10_w = readTrainedWeights(depthwise_conv2d_10_w_path.c_str(), 0,512,1,3,3);
+ std::string batch_normalization_20_gamma_path = dir_prefix + std::string("batch_normalization_20_gamma.bin");
+ void* batch_normalization_20_gamma = readTrainedWeights(batch_normalization_20_gamma_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_20_beta_path = dir_prefix + std::string("batch_normalization_20_beta.bin");
+ void* batch_normalization_20_beta = readTrainedWeights(batch_normalization_20_beta_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_20_mean_path = dir_prefix + std::string("batch_normalization_20_mean.bin");
+ void* batch_normalization_20_mean = readTrainedWeights(batch_normalization_20_mean_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_20_variance_path = dir_prefix + std::string("batch_normalization_20_variance.bin");
+ void* batch_normalization_20_variance = readTrainedWeights(batch_normalization_20_variance_path.c_str(), 0,1,512,1,1);
+ std::string conv2d_11_w_path = dir_prefix + std::string("conv2d_11_w.bin");
+ void* conv2d_11_w = readTrainedWeights(conv2d_11_w_path.c_str(), 0,512,512,1,1);
+ std::string batch_normalization_21_gamma_path = dir_prefix + std::string("batch_normalization_21_gamma.bin");
+ void* batch_normalization_21_gamma = readTrainedWeights(batch_normalization_21_gamma_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_21_beta_path = dir_prefix + std::string("batch_normalization_21_beta.bin");
+ void* batch_normalization_21_beta = readTrainedWeights(batch_normalization_21_beta_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_21_mean_path = dir_prefix + std::string("batch_normalization_21_mean.bin");
+ void* batch_normalization_21_mean = readTrainedWeights(batch_normalization_21_mean_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_21_variance_path = dir_prefix + std::string("batch_normalization_21_variance.bin");
+ void* batch_normalization_21_variance = readTrainedWeights(batch_normalization_21_variance_path.c_str(), 0,1,512,1,1);
+ std::string depthwise_conv2d_11_w_path = dir_prefix + std::string("depthwise_conv2d_11_w.bin");
+ void* depthwise_conv2d_11_w = readTrainedWeights(depthwise_conv2d_11_w_path.c_str(), 0,512,1,3,3);
+ std::string batch_normalization_22_gamma_path = dir_prefix + std::string("batch_normalization_22_gamma.bin");
+ void* batch_normalization_22_gamma = readTrainedWeights(batch_normalization_22_gamma_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_22_beta_path = dir_prefix + std::string("batch_normalization_22_beta.bin");
+ void* batch_normalization_22_beta = readTrainedWeights(batch_normalization_22_beta_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_22_mean_path = dir_prefix + std::string("batch_normalization_22_mean.bin");
+ void* batch_normalization_22_mean = readTrainedWeights(batch_normalization_22_mean_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_22_variance_path = dir_prefix + std::string("batch_normalization_22_variance.bin");
+ void* batch_normalization_22_variance = readTrainedWeights(batch_normalization_22_variance_path.c_str(), 0,1,512,1,1);
+ std::string conv2d_12_w_path = dir_prefix + std::string("conv2d_12_w.bin");
+ void* conv2d_12_w = readTrainedWeights(conv2d_12_w_path.c_str(), 0,512,512,1,1);
+ std::string batch_normalization_23_gamma_path = dir_prefix + std::string("batch_normalization_23_gamma.bin");
+ void* batch_normalization_23_gamma = readTrainedWeights(batch_normalization_23_gamma_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_23_beta_path = dir_prefix + std::string("batch_normalization_23_beta.bin");
+ void* batch_normalization_23_beta = readTrainedWeights(batch_normalization_23_beta_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_23_mean_path = dir_prefix + std::string("batch_normalization_23_mean.bin");
+ void* batch_normalization_23_mean = readTrainedWeights(batch_normalization_23_mean_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_23_variance_path = dir_prefix + std::string("batch_normalization_23_variance.bin");
+ void* batch_normalization_23_variance = readTrainedWeights(batch_normalization_23_variance_path.c_str(), 0,1,512,1,1);
+ std::string depthwise_conv2d_12_w_path = dir_prefix + std::string("depthwise_conv2d_12_w.bin");
+ void* depthwise_conv2d_12_w = readTrainedWeights(depthwise_conv2d_12_w_path.c_str(), 0,512,1,3,3);
+ std::string batch_normalization_24_gamma_path = dir_prefix + std::string("batch_normalization_24_gamma.bin");
+ void* batch_normalization_24_gamma = readTrainedWeights(batch_normalization_24_gamma_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_24_beta_path = dir_prefix + std::string("batch_normalization_24_beta.bin");
+ void* batch_normalization_24_beta = readTrainedWeights(batch_normalization_24_beta_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_24_mean_path = dir_prefix + std::string("batch_normalization_24_mean.bin");
+ void* batch_normalization_24_mean = readTrainedWeights(batch_normalization_24_mean_path.c_str(), 0,1,512,1,1);
+ std::string batch_normalization_24_variance_path = dir_prefix + std::string("batch_normalization_24_variance.bin");
+ void* batch_normalization_24_variance = readTrainedWeights(batch_normalization_24_variance_path.c_str(), 0,1,512,1,1);
+ std::string conv2d_13_w_path = dir_prefix + std::string("conv2d_13_w.bin");
+ void* conv2d_13_w = readTrainedWeights(conv2d_13_w_path.c_str(), 0,1024,512,1,1);
+ std::string batch_normalization_25_gamma_path = dir_prefix + std::string("batch_normalization_25_gamma.bin");
+ void* batch_normalization_25_gamma = readTrainedWeights(batch_normalization_25_gamma_path.c_str(), 0,1,1024,1,1);
+ std::string batch_normalization_25_beta_path = dir_prefix + std::string("batch_normalization_25_beta.bin");
+ void* batch_normalization_25_beta = readTrainedWeights(batch_normalization_25_beta_path.c_str(), 0,1,1024,1,1);
+ std::string batch_normalization_25_mean_path = dir_prefix + std::string("batch_normalization_25_mean.bin");
+ void* batch_normalization_25_mean = readTrainedWeights(batch_normalization_25_mean_path.c_str(), 0,1,1024,1,1);
+ std::string batch_normalization_25_variance_path = dir_prefix + std::string("batch_normalization_25_variance.bin");
+ void* batch_normalization_25_variance = readTrainedWeights(batch_normalization_25_variance_path.c_str(), 0,1,1024,1,1);
+ std::string depthwise_conv2d_13_w_path = dir_prefix + std::string("depthwise_conv2d_13_w.bin");
+ void* depthwise_conv2d_13_w = readTrainedWeights(depthwise_conv2d_13_w_path.c_str(), 0,1024,1,3,3);
+ std::string batch_normalization_26_gamma_path = dir_prefix + std::string("batch_normalization_26_gamma.bin");
+ void* batch_normalization_26_gamma = readTrainedWeights(batch_normalization_26_gamma_path.c_str(), 0,1,1024,1,1);
+ std::string batch_normalization_26_beta_path = dir_prefix + std::string("batch_normalization_26_beta.bin");
+ void* batch_normalization_26_beta = readTrainedWeights(batch_normalization_26_beta_path.c_str(), 0,1,1024,1,1);
+ std::string batch_normalization_26_mean_path = dir_prefix + std::string("batch_normalization_26_mean.bin");
+ void* batch_normalization_26_mean = readTrainedWeights(batch_normalization_26_mean_path.c_str(), 0,1,1024,1,1);
+ std::string batch_normalization_26_variance_path = dir_prefix + std::string("batch_normalization_26_variance.bin");
+ void* batch_normalization_26_variance = readTrainedWeights(batch_normalization_26_variance_path.c_str(), 0,1,1024,1,1);
+ std::string conv2d_14_w_path = dir_prefix + std::string("conv2d_14_w.bin");
+ void* conv2d_14_w = readTrainedWeights(conv2d_14_w_path.c_str(), 0,1024,1024,1,1);
+ std::string batch_normalization_27_gamma_path = dir_prefix + std::string("batch_normalization_27_gamma.bin");
+ void* batch_normalization_27_gamma = readTrainedWeights(batch_normalization_27_gamma_path.c_str(), 0,1,1024,1,1);
+ std::string batch_normalization_27_beta_path = dir_prefix + std::string("batch_normalization_27_beta.bin");
+ void* batch_normalization_27_beta = readTrainedWeights(batch_normalization_27_beta_path.c_str(), 0,1,1024,1,1);
+ std::string batch_normalization_27_mean_path = dir_prefix + std::string("batch_normalization_27_mean.bin");
+ void* batch_normalization_27_mean = readTrainedWeights(batch_normalization_27_mean_path.c_str(), 0,1,1024,1,1);
+ std::string batch_normalization_27_variance_path = dir_prefix + std::string("batch_normalization_27_variance.bin");
+ void* batch_normalization_27_variance = readTrainedWeights(batch_normalization_27_variance_path.c_str(), 0,1,1024,1,1);
+ 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(), 0,1,1,1024,10);
+ 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(), 0,1,10,1,1);
+
+
+
+ startMemTracking();
+
+ int test_input_size = 2000;
+ int batch_size = 2000;
+ int batch_count = test_input_size / batch_size;
+ float final_accuracy = 0.0;
+
+ for(int i = 0; i < batch_count; i++){
+
+ int start = i * batch_size;
+ int end = (i + 1) * batch_size;
+
+ void* input = readInputBatch(input_path.c_str(),0,start,end,3,32,32);
+
+ void* var_0 = tensorConvolution(input, conv2d_1_w, 1, 1, 1, 1, 1, 1);
+ void* var_1 = tensorBatchNorm(var_0, batch_normalization_1_gamma, batch_normalization_1_beta, batch_normalization_1_mean, batch_normalization_1_variance, 0.001);
+ void* var_2 = tensorRelu(var_1);
+ void* var_3 = tensorConvolution(var_2, depthwise_conv2d_1_w, 1, 1, 1, 1, 1, 32);
+ void* var_4 = tensorBatchNorm(var_3, batch_normalization_2_gamma, batch_normalization_2_beta, batch_normalization_2_mean, batch_normalization_2_variance, 0.001);
+ void* var_5 = tensorRelu(var_4);
+ void* var_6 = tensorConvolution(var_5, conv2d_2_w, 0, 0, 1, 1, 1, 1);
+ void* var_7 = tensorBatchNorm(var_6, batch_normalization_3_gamma, batch_normalization_3_beta, batch_normalization_3_mean, batch_normalization_3_variance, 0.001);
+ void* var_8 = tensorRelu(var_7);
+ void* var_9 = tensorConvolution(var_8, depthwise_conv2d_2_w, 1, 1, 2, 2, 1, 64);
+ void* var_10 = tensorBatchNorm(var_9, batch_normalization_4_gamma, batch_normalization_4_beta, batch_normalization_4_mean, batch_normalization_4_variance, 0.001);
+ void* var_11 = tensorRelu(var_10);
+ void* var_12 = tensorConvolution(var_11, conv2d_3_w, 0, 0, 1, 1, 1, 1);
+ void* var_13 = tensorBatchNorm(var_12, batch_normalization_5_gamma, batch_normalization_5_beta, batch_normalization_5_mean, batch_normalization_5_variance, 0.001);
+ void* var_14 = tensorRelu(var_13);
+ void* var_15 = tensorConvolution(var_14, depthwise_conv2d_3_w, 1, 1, 1, 1, 1, 128);
+ void* var_16 = tensorBatchNorm(var_15, batch_normalization_6_gamma, batch_normalization_6_beta, batch_normalization_6_mean, batch_normalization_6_variance, 0.001);
+ void* var_17 = tensorRelu(var_16);
+ void* var_18 = tensorConvolution(var_17, conv2d_4_w, 0, 0, 1, 1, 1, 1);
+ void* var_19 = tensorBatchNorm(var_18, batch_normalization_7_gamma, batch_normalization_7_beta, batch_normalization_7_mean, batch_normalization_7_variance, 0.001);
+ void* var_20 = tensorRelu(var_19);
+ void* var_22 = tensorConvolution(var_20, depthwise_conv2d_4_w, 1, 1, 2, 2, 1, 128);
+ void* var_23 = tensorBatchNorm(var_22, batch_normalization_8_gamma, batch_normalization_8_beta, batch_normalization_8_mean, batch_normalization_8_variance, 0.001);
+ void* var_24 = tensorRelu(var_23);
+ void* var_25 = tensorConvolution(var_24, conv2d_5_w, 0, 0, 1, 1, 1, 1);
+ void* var_26 = tensorBatchNorm(var_25, batch_normalization_9_gamma, batch_normalization_9_beta, batch_normalization_9_mean, batch_normalization_9_variance, 0.001);
+ void* var_27 = tensorRelu(var_26);
+ void* var_28 = tensorConvolution(var_27, depthwise_conv2d_5_w, 1, 1, 1, 1, 1, 256);
+ void* var_29 = tensorBatchNorm(var_28, batch_normalization_10_gamma, batch_normalization_10_beta, batch_normalization_10_mean, batch_normalization_10_variance, 0.001);
+ void* var_30 = tensorRelu(var_29);
+ void* var_31 = tensorConvolution(var_30, conv2d_6_w, 0, 0, 1, 1, 1, 1);
+ void* var_32 = tensorBatchNorm(var_31, batch_normalization_11_gamma, batch_normalization_11_beta, batch_normalization_11_mean, batch_normalization_11_variance, 0.001);
+ void* var_33 = tensorRelu(var_32);
+ void* var_35 = tensorConvolution(var_33, depthwise_conv2d_6_w, 1, 1, 2, 2, 1, 256);
+ void* var_36 = tensorBatchNorm(var_35, batch_normalization_12_gamma, batch_normalization_12_beta, batch_normalization_12_mean, batch_normalization_12_variance, 0.001);
+ void* var_37 = tensorRelu(var_36);
+ void* var_38 = tensorConvolution(var_37, conv2d_7_w, 0, 0, 1, 1, 1, 1);
+ void* var_39 = tensorBatchNorm(var_38, batch_normalization_13_gamma, batch_normalization_13_beta, batch_normalization_13_mean, batch_normalization_13_variance, 0.001);
+ void* var_40 = tensorRelu(var_39);
+ void* var_41 = tensorConvolution(var_40, depthwise_conv2d_7_w, 1, 1, 1, 1, 1, 512);
+ void* var_42 = tensorBatchNorm(var_41, batch_normalization_14_gamma, batch_normalization_14_beta, batch_normalization_14_mean, batch_normalization_14_variance, 0.001);
+ void* var_43 = tensorRelu(var_42);
+ void* var_44 = tensorConvolution(var_43, conv2d_8_w, 0, 0, 1, 1, 1, 1);
+ void* var_45 = tensorBatchNorm(var_44, batch_normalization_15_gamma, batch_normalization_15_beta, batch_normalization_15_mean, batch_normalization_15_variance, 0.001);
+ void* var_46 = tensorRelu(var_45);
+ void* var_47 = tensorConvolution(var_46, depthwise_conv2d_8_w, 1, 1, 1, 1, 1, 512);
+ void* var_48 = tensorBatchNorm(var_47, batch_normalization_16_gamma, batch_normalization_16_beta, batch_normalization_16_mean, batch_normalization_16_variance, 0.001);
+ void* var_49 = tensorRelu(var_48);
+ void* var_50 = tensorConvolution(var_49, conv2d_9_w, 0, 0, 1, 1, 1, 1);
+ void* var_51 = tensorBatchNorm(var_50, batch_normalization_17_gamma, batch_normalization_17_beta, batch_normalization_17_mean, batch_normalization_17_variance, 0.001);
+ void* var_52 = tensorRelu(var_51);
+ void* var_54 = tensorConvolution(var_52, depthwise_conv2d_9_w, 1, 1, 1, 1, 1, 512);
+ void* var_55 = tensorBatchNorm(var_54, batch_normalization_18_gamma, batch_normalization_18_beta, batch_normalization_18_mean, batch_normalization_18_variance, 0.001);
+ void* var_56 = tensorRelu(var_55);
+ void* var_57 = tensorConvolution(var_56, conv2d_10_w, 0, 0, 1, 1, 1, 1);
+ void* var_58 = tensorBatchNorm(var_57, batch_normalization_19_gamma, batch_normalization_19_beta, batch_normalization_19_mean, batch_normalization_19_variance, 0.001);
+ void* var_59 = tensorRelu(var_58);
+ void* var_60 = tensorConvolution(var_59, depthwise_conv2d_10_w, 1, 1, 1, 1, 1, 512);
+ void* var_61 = tensorBatchNorm(var_60, batch_normalization_20_gamma, batch_normalization_20_beta, batch_normalization_20_mean, batch_normalization_20_variance, 0.001);
+ void* var_62 = tensorRelu(var_61);
+ void* var_63 = tensorConvolution(var_62, conv2d_11_w, 0, 0, 1, 1, 1, 1);
+ void* var_64 = tensorBatchNorm(var_63, batch_normalization_21_gamma, batch_normalization_21_beta, batch_normalization_21_mean, batch_normalization_21_variance, 0.001);
+ void* var_65 = tensorRelu(var_64);
+ void* var_66 = tensorConvolution(var_65, depthwise_conv2d_11_w, 1, 1, 1, 1, 1, 512);
+ void* var_67 = tensorBatchNorm(var_66, batch_normalization_22_gamma, batch_normalization_22_beta, batch_normalization_22_mean, batch_normalization_22_variance, 0.001);
+ void* var_68 = tensorRelu(var_67);
+ void* var_69 = tensorConvolution(var_68, conv2d_12_w, 0, 0, 1, 1, 1, 1);
+ void* var_70 = tensorBatchNorm(var_69, batch_normalization_23_gamma, batch_normalization_23_beta, batch_normalization_23_mean, batch_normalization_23_variance, 0.001);
+ void* var_71 = tensorRelu(var_70);
+ void* var_73 = tensorConvolution(var_71, depthwise_conv2d_12_w, 1, 1, 2, 2, 1, 512);
+ void* var_74 = tensorBatchNorm(var_73, batch_normalization_24_gamma, batch_normalization_24_beta, batch_normalization_24_mean, batch_normalization_24_variance, 0.001);
+ void* var_75 = tensorRelu(var_74);
+ void* var_76 = tensorConvolution(var_75, conv2d_13_w, 0, 0, 1, 1, 1, 1);
+ void* var_77 = tensorBatchNorm(var_76, batch_normalization_25_gamma, batch_normalization_25_beta, batch_normalization_25_mean, batch_normalization_25_variance, 0.001);
+ void* var_78 = tensorRelu(var_77);
+ void* var_79 = tensorConvolution(var_78, depthwise_conv2d_13_w, 1, 1, 1, 1, 1, 1024);
+ void* var_80 = tensorBatchNorm(var_79, batch_normalization_26_gamma, batch_normalization_26_beta, batch_normalization_26_mean, batch_normalization_26_variance, 0.001);
+ void* var_81 = tensorRelu(var_80);
+ void* var_82 = tensorConvolution(var_81, conv2d_14_w, 0, 0, 1, 1, 1, 1);
+ void* var_83 = tensorBatchNorm(var_82, batch_normalization_27_gamma, batch_normalization_27_beta, batch_normalization_27_mean, batch_normalization_27_variance, 0.001);
+ void* var_84 = tensorRelu(var_83);
+ void* var_86 = tensorPooling(var_84,1,2,2,0,0,2,2);
+ void* var_88 = tensorGemmGPU(var_86, dense_1_w);
+ void* var_89 = tensorAdd(var_88, dense_1_b);
+ void* var_90 = tensorSoftmax(var_89);
+
+ uint8_t* labels = readLabelsBatch(labels_path.c_str(),start,end);
+
+ float accuracy = computeAccuracy2(labels, batch_size, var_90);
+ final_accuracy += accuracy;
+ freeBatchMemory();
+
+ }
+
+ final_accuracy = final_accuracy / batch_count;
+ dumpFinalAccuracy(final_accuracy);
+
+
+ llvm_hpvm_cleanupTensorRt();
+
+ return 0;
+
+}