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Commit 00a996fb by chengshuyao
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debug accuracy

parent 8beb97fc
Showing with 82 additions and 35 deletions
src/BSD.cpp
......@@ -39,7 +39,7 @@ extern const int parameter_max_orders = 2;
//算法的parameter Algorithm_parameter
extern const int parameter_num_threads = 64; //线程数
extern const int parameter_multi_output_index = 0; //BSD从第几层开始化简，前面若干层展开序确定
extern const int parameter_max_BDD_width = 320000; //BSD每一层最多多少个节点
extern const int parameter_max_BDD_width = 32000; //BSD每一层最多多少个节点
int parameter_early_stop_depth = parameter_input_bit_width; //BSD到第几层终止，输出此时的不准确BSD
int parameter_early_stop_split_nodes= 1000000; //BSD每一层最多多少个节点
......@@ -140,7 +140,7 @@ int main(int argc,char* argv[]){
int* start_order = new int [parameter_input_bit_width];
int area_a = search_order(10,default_partition_set,0,start_order);
int area_a = search_order(parameter_search_iterations,default_partition_set,0,start_order);
//search_partition(parameter_input_bit_width,start_order);
};
int search_partition(int start_order_depth, int* start_order){
......
src/BSD.h
......@@ -141,7 +141,7 @@ public:
bool* all_zero_left_list ;
bool* all_one_right_list ;
bool* all_zero_right_list ;
int partition_depth = 1000;
int partition_depth = 100000;
int partition_parts = 2;
int partition_into_how_many_parts =2;
int* partition_start_node_numbers;
......@@ -183,8 +183,8 @@ public:
right_son_mask = new bool [parameter_input_bit_width];
left_mask_output_data = new bool [parameter_max_samples];
right_mask_output_data = new bool [parameter_max_samples];
left_mask_output_data_all = new bool [long(parameter_max_BDD_width*parameter_max_samples)];
right_mask_output_data_all = new bool [long(parameter_max_BDD_width*parameter_max_samples)];
left_mask_output_data_all = new bool [long(parameter_max_BDD_width)*long(parameter_max_samples)];
right_mask_output_data_all = new bool [long(parameter_max_BDD_width)*long(parameter_max_samples)];
all_one_left_list = new bool [parameter_max_BDD_width];
all_zero_left_list = new bool [parameter_max_BDD_width];
all_one_right_list = new bool [parameter_max_BDD_width];
......@@ -621,8 +621,20 @@ int BDD_class::train_BDD(BDD_node** BDD,int* most_influence,int start_depth, int
}
mask_input_data_left [most_influence[i]] = 0;
mask_input_data_right[most_influence[i]] = 1;
bool left_mask_output_data_b = io_generator_single(mask_input_data_left ,BDD[i][j].which_bit_output);
bool left_mask_output_data_b = io_generator_single(mask_input_data_left ,BDD[i][j].which_bit_output);
/////if(zj<100){
///// for (int jj=0;jj<parameter_input_bit_width;jj++){
///// cout<<mask_input_data_left[jj];
///// }
///// cout<<" "<<left_mask_output_data_b<<endl;
/////}
bool right_mask_output_data_b = io_generator_single(mask_input_data_right,BDD[i][j].which_bit_output);
/////if(zj<100){
///// for (int jj=0;jj<parameter_input_bit_width;jj++){
///// cout<<mask_input_data_right[jj];
///// }
///// cout<<" "<<right_mask_output_data_b<<endl;
/////}
right_mask_output_data_all[zj] = right_mask_output_data_b;
left_mask_output_data_all [zj] = left_mask_output_data_b;
......@@ -645,7 +657,8 @@ int BDD_class::train_BDD(BDD_node** BDD,int* most_influence,int start_depth, int
bool* left_mask_output_data_tmp = new bool [BSD_samples];
bool* right_mask_output_data_tmp = new bool [BSD_samples];
if((i == (parameter_early_stop_depth-1))&&(which_BDD==0) || ((i == (parameter_early_stop_depth-1))&&(which_BDD==1)) || ((total_split_nodes_recursive) > parameter_early_stop_split_nodes-BDD_width_each_layer[i])){
for(int zi=0;zi<min(BSD_samples,10);zi++){
cout<<"Early Stop: Condition A "<<endl;
for(int zi=0;zi<min(BSD_samples,100);zi++){
left_mask_output_data_tmp[zi] = left_mask_output_data_all[zi+BSD_samples*j];
if(left_mask_output_data_tmp[zi]){
left_ones += 1;
......@@ -653,7 +666,7 @@ int BDD_class::train_BDD(BDD_node** BDD,int* most_influence,int start_depth, int
left_zeros += 1;
}
}
for(int zi=0;zi<min(BSD_samples,10);zi++){
for(int zi=0;zi<min(BSD_samples,100);zi++){
right_mask_output_data[zi] = right_mask_output_data_all[zi+BSD_samples*j];
if(right_mask_output_data_tmp[zi]){
right_ones += 1;
......@@ -677,6 +690,7 @@ int BDD_class::train_BDD(BDD_node** BDD,int* most_influence,int start_depth, int
all_zero_right_list[j] = 1;
}
}else if((BDD_width_each_layer[i] > parameter_max_BDD_width/2) ){
cout<<"Early Stop: Condition B "<<endl;
cout<<"which node this layer: "<<j<<endl;
cout<<" Finish trained weight = "<<setprecision(12)<<(total_finish_weight)/pow(2.0,20)<<endl;
for(int zi=0;zi<min(BSD_samples,10);zi++){
......@@ -686,7 +700,7 @@ int BDD_class::train_BDD(BDD_node** BDD,int* most_influence,int start_depth, int
left_zeros += 1;
}
}
for(int zi=0;zi<min(BSD_samples,10);zi++){
for(int zi=0;zi<min(BSD_samples,100);zi++){
if(right_mask_output_data_tmp[zi]){
right_ones += 1;
}else{
......@@ -715,6 +729,8 @@ int BDD_class::train_BDD(BDD_node** BDD,int* most_influence,int start_depth, int
all_one_right_list[j] = 1;
for(int zi=0;zi<BSD_samples;zi++){
left_mask_output_data_tmp[zi] = left_mask_output_data_all[zi+BSD_samples*j];
//if(zi<100)
//cout<<left_mask_output_data_tmp[zi];
if(left_mask_output_data_tmp[zi]){
all_zero_left_list[j] = 0;
}else{
......@@ -724,8 +740,12 @@ int BDD_class::train_BDD(BDD_node** BDD,int* most_influence,int start_depth, int
break;
}
}
//cout<<endl;
//cout<<endl;
for(int zi=0;zi<BSD_samples;zi++){
right_mask_output_data_tmp[zi] = right_mask_output_data_all[zi+BSD_samples*j];
//if(zi<100)
//cout<<right_mask_output_data_tmp[zi];
if(right_mask_output_data_tmp[zi]){
all_zero_right_list[j] = 0;
}else{
......@@ -735,6 +755,11 @@ int BDD_class::train_BDD(BDD_node** BDD,int* most_influence,int start_depth, int
break;
}
}
//cout<<endl;
//cout<<"all zero left"<<all_zero_left_list[j] <<endl;
//cout<<"all one left"<<all_one_left_list[j] <<endl;
//cout<<"all zero right"<<all_zero_right_list[j] <<endl;
//cout<<"all one right"<<all_one_right_list[j] <<endl;
}
delete [] left_mask_output_data_tmp ;
delete [] right_mask_output_data_tmp ;
......@@ -772,24 +797,24 @@ int BDD_class::train_BDD(BDD_node** BDD,int* most_influence,int start_depth, int
right_mask_output_data[zi] = right_mask_output_data_all[zi+BSD_samples*j];
}
//cout<<"Debug 2"<<" ";
int left_zeros = 0;
int left_ones = 0;
int right_zeros = 0;
int right_ones = 0;
for(int zi=0;zi<min(BSD_samples,10);zi++){
if(left_mask_output_data[zi]){
left_ones += 1;
}else{
left_zeros += 1;
}
}
for(int zi=0;zi<min(BSD_samples,10);zi++){
if(right_mask_output_data[zi]){
right_ones += 1;
}else{
right_zeros += 1;
}
}
///int left_zeros = 0;
///int left_ones = 0;
///int right_zeros = 0;
///int right_ones = 0;
///for(int zi=0;zi<min(BSD_samples,10);zi++){
/// if(left_mask_output_data[zi]){
/// left_ones += 1;
/// }else{
/// left_zeros += 1;
/// }
///}
///for(int zi=0;zi<min(BSD_samples,10);zi++){
/// if(right_mask_output_data[zi]){
/// right_ones += 1;
/// }else{
/// right_zeros += 1;
/// }
///}
//cout<<"Debug 3"<<" ";
//cout<<"Debug 4"<<" ";
......@@ -799,9 +824,11 @@ int BDD_class::train_BDD(BDD_node** BDD,int* most_influence,int start_depth, int
int hash_right_neg_number = hash_simplify_list_function(right_mask_output_data,1);
if(i>parameter_multi_output_index-1){
if(all_zero_left){
//cout<<"all zero left"<<all_zero_left <<endl;
BDD[i][j].left_node_index = -2;
total_finish_weight += BDD[i][j].weight/2;
}else if(all_one_left){
//cout<<"all one left"<<all_one_left <<endl;
BDD[i][j].left_node_index = -1;
total_finish_weight += BDD[i][j].weight/2;
}else{
......@@ -889,9 +916,11 @@ int BDD_class::train_BDD(BDD_node** BDD,int* most_influence,int start_depth, int
if(all_zero_right){
BDD[i][j].right_node_index = -2;
total_finish_weight += BDD[i][j].weight/2;
//cout<<"all zero right"<<all_zero_right <<endl;
}else if(all_one_right){
BDD[i][j].right_node_index = -1;
total_finish_weight += BDD[i][j].weight/2;
//cout<<"all one right"<<all_one_right <<endl;
}else{
if(((i%how_often_simplify == 0))){
which_list_number = compare_simplify_list(BDD_width_each_layer[i+1],right_mask_output_data,simplify_list,hash_simplify_list,hash_right_number);
......@@ -1050,10 +1079,19 @@ int BDD_class::BDD_infer(BDD_node** BDD,int* most_influence){
test_input_data[most_influence[j]] = BDD[start_depth][test_bit].mask[most_influence[j]];
}
test_output_data = io_generator_single(test_input_data,BDD[start_depth][test_bit].which_bit_output);
infer_output_data = cal_infer_result(test_input_data,test_bit,0);
error_all[zj] = (test_output_data != infer_output_data);
/////if((zj<1000) && (error_all[zj])){
///// for (int jj=0;jj<parameter_input_bit_width;jj++){
///// cout<<test_input_data[jj];
///// }
///// cout<<" "<<infer_output_data<<endl;
///// cout<<" "<<test_output_data<<endl;
/////}
delete [] test_input_data;
}
cout<<endl;
circuit_accuracy_all_bits = new double [how_many_start_nodes];
for(int test_bit=0;test_bit<how_many_start_nodes;test_bit++){
error_amount = 0;
......@@ -1288,6 +1326,7 @@ int BDD_class::BDD_FULL_PROCESS(){
cout<<"Start infer"<<endl;
BDD_infer(BDD,most_influence);
print_circuit(BDD,most_influence);
if(circuit_accuracy==1)
print_circuit(BDD,most_influence);
delete [] test_input_data;
......
src/io_generator_function.h
#pragma once
int parameter_data_width = 32;
int parameter_data_width = 8;
bool* io_generator_single_function_0(bool* input_data,bool* output_data);//==
bool* io_generator_single_function_1(bool* input_data,bool* output_data);//add_unsigned
bool* io_generator_single_function_2(bool* input_data,bool* output_data);//add
......@@ -56,8 +56,11 @@ bool* io_generator_single_function_1(bool* input_data,bool* output_data){//add_u
bool* output_data_result= new bool[parameter_data_width];
cvt_number_to_bit_unsigned(output_data_result,data_result,parameter_data_width);
for (i=0;i<parameter_data_width;i++){
output_data[i] = output_data_result[i];
for (i=0;i<PO_WIDTH;i++){
if(i<parameter_data_width)
output_data[i] = output_data_result[i];
else
output_data[i] = 0;
}
delete[] output_data_result;
return output_data;
......
src/tool_function.h
......@@ -62,6 +62,7 @@ int BDD_class::hash_simplify_list_function(bool* list, bool neg){
}
int BDD_class::compare_simplify_list(int list_line_amount,bool* this_line,bool** simplify_list, int* hash_simplify_list, int hash_number){
int which_list_number = -1;
//return which_list_number;
bool it_can_simplify = 0;
int i,j;
bool it_can_simplify_here;
......
src/top.h
#define INPUT_AIG
#include "io_generator/vl_arith_unit.h"
#include "vl_arith_unit_vec.h"
#include "io_generator/multiplier_88.h"
#include "multiplier_88_vec.h"
extern const int parameter_input_bit_width = PI_WIDTH + 5 ;
//int PI_WIDTH = 32;
//int PO_WIDTH = 18;
extern const int parameter_input_bit_width = PI_WIDTH +5 ;
extern const int parameter_output_bit_width = PO_WIDTH ;
//extern const int parameter_train_output_bit_width = 1 ;
......@@ -14,8 +17,9 @@ extern const int parameter_output_bit_width = PO_WIDTH ;
//#include"io_generator_tmp.h"
//#include"io_generator_function.h"
extern const int parameter_search_iterations = 100; //最大设计次数
extern const int parameter_search_iterations = 1; //最大设计次数
extern const int parameter_test_ios = 1000; //测试要求多少样本
extern const int parameter_max_samples = int(parameter_test_ios*100/32)*32; //BSD每一个节点最多进行多少次采样
......
src/zstart.sh
......@@ -3,5 +3,5 @@ export LIBRARY_PATH=/lustre/S/chengshuyao/haoshiming/anaconda3/envs/BSD/bin:/lus
export LD_LIBRARY_PATH=/lustre/S/chengshuyao/haoshiming/anaconda3/envs/BSD/bin:/lustre/S/chengshuyao/haoshiming/anaconda3/envs/BSD/lib
rm rtl/*
#bash write_vec.sh
g++ BSD.cpp -O3 -std=c++11 -fopenmp -pg
g++ BSD.cpp -O3 -std=c++11 -fopenmp
./a.out
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