Changing error scaling values

llvm/projects/hpvm-tensor-rt/tensor_runtime/include/error.h

@@ -356,24 +356,21 @@ void initRandValues(Tensor* bias, int error_scale){
   float scaling_values[20];
 
   // FIXIT: Error knob 0 should be 0 zero
-  scaling_values[0] = 0.016;
-  scaling_values[1] = 0.018;
-  scaling_values[2] = 0.022;
-  scaling_values[3] = 0.026;
-  scaling_values[4] = 0.030;
-  scaling_values[5] = 0.035;  
-  scaling_values[6] = 0.04;
-  scaling_values[7] = 0.06;
-  scaling_values[8] = 0.08;
-  scaling_values[9] = 0.1;
-  //scaling_values[8] = 0.15;
-  //scaling_values[9] = 0.2;
-  scaling_values[10] = 0.25;
+  scaling_values[0] = 0.007;
+  scaling_values[1] = 0.015;
+  scaling_values[2] = 0.03;
+  scaling_values[3] = 0.06;
+  scaling_values[4] = 0.08;
+  scaling_values[5] = 0.1;  
+  scaling_values[6] = 0.13;
+  scaling_values[7] = 0.16;
+  scaling_values[8] = 0.2;
+  scaling_values[9] = 0.23;
+  scaling_values[10] = 0.26;
   scaling_values[11] = 0.3;
   scaling_values[12] = 0.35;
   scaling_values[13] = 0.4;
   scaling_values[14] = 0.45;
-  // Values below are currently unused by Opentuner
   scaling_values[15] = 0.5;
   scaling_values[16] = 0.55;
   scaling_values[17] = 0.6;
@@ -396,19 +393,6 @@ void initRandValues(Tensor* bias, int error_scale){
     
   curandGenerateNormal(gen, (float*) bias->gpu_data, bias->num_elems, 0.0, 1.0 * scaling_values[error_scale]);
 
-  
-  /*
-  std::random_device rd;
-  std::mt19937 mt(rd());
-  std::normal_distribution<float> distribution(0.0, 1.0);
-  
-  float* data_arr = (float*) bias->host_data;
-  for(int i = 0; i < bias->num_elems; i++){
-    float rand_num = distribution(mt);
-    data_arr[i] = scaling_values[error_scale] * rand_num;   
-  }
-  */
-  
 }