| import os |
| |
| |
| |
| import json |
| import time |
| import csv |
| import pathlib |
| import difflib |
| import re |
| from bleu import _bleu |
| from fuzzywuzzy import fuzz |
| import random |
| import numpy as np |
| from transformers import RobertaTokenizer |
| |
|
|
| folder = str(pathlib.Path(__file__).parent.resolve()) |
| isa_type_dir = folder+"/../../../Dataset" |
| src_dir = folder+"/../../../Dataset/Code_Generation" |
| dst_dir = folder+"/Result" |
|
|
| train_lis = [] |
| valid_lis = [] |
| test_lis = [] |
|
|
| target_clf = {} |
| def get_target_clf_list(): |
| global target_clf |
| with open(isa_type_dir+"/comback_isa_type.csv","r",encoding="utf-8") as f: |
| reader = csv.reader(f) |
| for idx, l in enumerate(reader): |
| if l[1].lower() == "arc" or l[1].lower() == "riscv" or l[1].lower() == "nvptx": |
| continue |
| if l[0] + " " + l[2] not in target_clf.keys(): |
| target_clf[l[0] + " " + l[2]] = [l[1]] |
| else: |
| target_clf[l[0] + " " + l[2]] += [l[1]] |
|
|
|
|
| def Calculate_Statements_Ratio(Src_List, Fork_Lis, src_name, fork_name): |
| src_code = "" |
| Fork_code = "" |
| idx = 0 |
| cnt_stmt = 0.0 |
| while idx < len(Src_List): |
| src_code += Src_List[idx].replace(src_name, "") |
| if Src_List[idx] in [";", ":", "{", "}"]: |
| src_code += "\n" |
| cnt_stmt += 1 |
| idx += 1 |
| while idx < len(Fork_Lis): |
| Fork_code += Fork_Lis[idx].replace(fork_name, "") |
| if Fork_Lis[idx] in [";", ":", "{", "}"]: |
| Fork_code += "\n" |
| idx += 1 |
| |
| code_same = 0 |
| code_modi = 0 |
| code_add = 0 |
| diff_code = list(difflib.Differ().compare(src_code.splitlines(), Fork_code.splitlines())) |
| for idx, dv in enumerate(diff_code): |
| if dv[0] == '-': |
| if idx < len(diff_code) - 1 and diff_code[idx+1][0] == '?': |
| code_modi += 1 |
| else: |
| code_add += 1 |
| elif dv[0] == '+': |
| continue |
| elif dv[0] == '?': |
| continue |
| |
| elif dv.strip().replace("\n", "") == '': |
| continue |
| else: |
| code_same += 1 |
| return round(float(code_same) / cnt_stmt, 2) |
|
|
|
|
|
|
| def Calculate_Forkflow(): |
| get_target_clf_list() |
| print("############## Exp 1: Calculate Fork-Flow ################\n") |
| |
| test_lis = ["nvptx","arc","riscv"] |
| for comp_type in ["GCC", "LLVM"]: |
| for isa_type in ["GPU", "MPU", "CPU"]: |
| max_ed = 0 |
| avg_ed = 0 |
| max_bleu4 = 0 |
| avg_bleu4 = 0 |
| avg_cnt = 0 |
| target_lis = target_clf[comp_type + " " + isa_type] |
| test_target_dic = {} |
| cnt_idx = 0 |
| if comp_type == "GCC": |
| if isa_type == "CPU": |
| for line in open(src_dir + "/GCC/riscv.jsonl", 'r'): |
| dic = json.loads(line) |
| test_target_dic[str(cnt_idx) + " " + dic["Func"].replace("riscv", "")] = dic["ground_truth"] |
| cnt_idx += 1 |
| |
| for tar in target_lis: |
| edit_dis = 0.0 |
| EM = [] |
| bleu4 = 0.0 |
| stmt_mod = 0.0 |
| cnt = 0 |
| fork_target_dic = {} |
| for line in open(src_dir + "/" + comp_type + "/" + tar + ".jsonl", 'r'): |
| dic = json.loads(line) |
| fork_target_dic[dic["Func"].replace(tar, "")] = dic["ground_truth"] |
|
|
| for k in test_target_dic.keys(): |
| func = k.split(" ")[1] |
| src_code = " ".join(test_target_dic[k]).replace("riscv", "") |
| if func in fork_target_dic.keys(): |
| fork_code = " ".join(fork_target_dic[func]).replace(tar, "") |
| stmt_mod += Calculate_Statements_Ratio(test_target_dic[k], fork_target_dic[func], "riscv", tar) |
| else: |
| fork_code = "" |
| stmt_mod += Calculate_Statements_Ratio(test_target_dic[k], [], "riscv", tar) |
| |
| with open(dst_dir+"/test.output",'w') as f, open(dst_dir+"/test.gold",'w') as f1: |
| f.write(fork_code+'\n') |
| f1.write(src_code+'\n') |
| EM.append(fork_code==src_code) |
| edit_dis += fuzz.ratio(fork_code, src_code) |
| avg_ed += fuzz.ratio(fork_code, src_code) |
| cnt += 1 |
| avg_cnt += 1 |
| if fork_code.strip() == "": |
| bleu4 += 0 |
| else: |
| tmp_bleu4 = _bleu(dst_dir+"/test.gold", dst_dir+"/test.output") |
| bleu4 += tmp_bleu4 |
| avg_bleu4 += tmp_bleu4 |
| |
| with open(dst_dir + '/result.csv', 'a', newline='') as file: |
| writer = csv.writer(file) |
| writer.writerow([comp_type, isa_type, tar, str(round(float(bleu4)/cnt,2)), str(round(np.mean(EM)*100,2)), str(round(float(edit_dis)/cnt,2)), str(round(float(stmt_mod)*100/cnt,2))]) |
| if round(float(bleu4)/cnt,2) > max_bleu4: |
| max_bleu4 = round(float(bleu4)/cnt,2) |
| if round(float(edit_dis)/cnt,2) > max_ed: |
| max_ed = round(float(edit_dis)/cnt,2) |
| if isa_type == "GPU": |
| for line in open(src_dir + "/GCC/nvptx.jsonl", 'r'): |
| dic = json.loads(line) |
| test_target_dic[str(cnt_idx) + " " + dic["Func"].replace("nvptx", "")] = dic["ground_truth"] |
| cnt_idx += 1 |
| |
| for tar in target_lis: |
| edit_dis = 0.0 |
| EM = [] |
| bleu4 = 0.0 |
| stmt_mod = 0.0 |
| cnt = 0 |
| fork_target_dic = {} |
| for line in open(src_dir + "/" + comp_type + "/" + tar + ".jsonl", 'r'): |
| dic = json.loads(line) |
| fork_target_dic[dic["Func"].replace(tar, "")] = dic["ground_truth"] |
|
|
| for k in test_target_dic.keys(): |
| func = k.split(" ")[1] |
| src_code = " ".join(test_target_dic[k]).replace("nvptx", "") |
| if func in fork_target_dic.keys(): |
| fork_code = " ".join(fork_target_dic[func]).replace(tar, "") |
| stmt_mod += Calculate_Statements_Ratio(test_target_dic[k], fork_target_dic[func], "nvptx", tar) |
| else: |
| fork_code = "" |
| stmt_mod += Calculate_Statements_Ratio(test_target_dic[k], [], "nvptx", tar) |
| |
| with open(dst_dir+"/test.output",'w') as f, open(dst_dir+"/test.gold",'w') as f1: |
| f.write(fork_code+'\n') |
| f1.write(src_code+'\n') |
| EM.append(fork_code==src_code) |
| edit_dis += fuzz.ratio(fork_code, src_code) |
| avg_ed += fuzz.ratio(fork_code, src_code) |
| cnt += 1 |
| avg_cnt += 1 |
| if fork_code.strip() == "": |
| bleu4 += 0 |
| else: |
| tmp_bleu4 = _bleu(dst_dir+"/test.gold", dst_dir+"/test.output") |
| bleu4 += tmp_bleu4 |
| avg_bleu4 += tmp_bleu4 |
|
|
| with open(dst_dir + '/result.csv', 'a', newline='') as file: |
| writer = csv.writer(file) |
| writer.writerow([comp_type, isa_type, tar, str(round(float(bleu4)/cnt,2)), str(round(np.mean(EM)*100,2)), str(round(float(edit_dis)/cnt,2)), str(round(float(stmt_mod)*100/cnt,2))]) |
| if round(float(bleu4)/cnt,2) > max_bleu4: |
| max_bleu4 = round(float(bleu4)/cnt,2) |
| if round(float(edit_dis)/cnt,2) > max_ed: |
| max_ed = round(float(edit_dis)/cnt,2) |
| if isa_type == "MPU": |
| for line in open(src_dir + "/GCC/arc.jsonl", 'r'): |
| dic = json.loads(line) |
| test_target_dic[str(cnt_idx) + " " + dic["Func"].replace("arc", "")] = dic["ground_truth"] |
| cnt_idx += 1 |
| |
| for tar in target_lis: |
| edit_dis = 0.0 |
| EM = [] |
| bleu4 = 0.0 |
| stmt_mod = 0.0 |
| cnt = 0 |
| fork_target_dic = {} |
| for line in open(src_dir + "/" + comp_type + "/" + tar + ".jsonl", 'r'): |
| dic = json.loads(line) |
| fork_target_dic[dic["Func"].replace(tar, "")] = dic["ground_truth"] |
|
|
| for k in test_target_dic.keys(): |
| func = k.split(" ")[1] |
| src_code = " ".join(test_target_dic[k]).replace("arc", "") |
| if func in fork_target_dic.keys(): |
| fork_code = " ".join(fork_target_dic[func]).replace(tar, "") |
| stmt_mod += Calculate_Statements_Ratio(test_target_dic[k], fork_target_dic[func], "arc", tar) |
| else: |
| fork_code = "" |
| stmt_mod += Calculate_Statements_Ratio(test_target_dic[k], [], "arc", tar) |
| |
| with open(dst_dir+"/test.output",'w') as f, open(dst_dir+"/test.gold",'w') as f1: |
| f.write(fork_code+'\n') |
| f1.write(src_code+'\n') |
| EM.append(fork_code==src_code) |
| edit_dis += fuzz.ratio(fork_code, src_code) |
| avg_ed += fuzz.ratio(fork_code, src_code) |
| cnt += 1 |
| avg_cnt += 1 |
| if fork_code.strip() == "": |
| bleu4 += 0 |
| else: |
| tmp_bleu4 = _bleu(dst_dir+"/test.gold", dst_dir+"/test.output") |
| bleu4 += tmp_bleu4 |
| avg_bleu4 += tmp_bleu4 |
| with open(dst_dir + '/result.csv', 'a', newline='') as file: |
| writer = csv.writer(file) |
| writer.writerow([comp_type, isa_type, tar, str(round(float(bleu4)/cnt,2)), str(round(np.mean(EM)*100,2)), str(round(float(edit_dis)/cnt,2)), str(round(float(stmt_mod)*100/cnt,2))]) |
| if round(float(bleu4)/cnt,2) > max_bleu4: |
| max_bleu4 = round(float(bleu4)/cnt,2) |
| if round(float(edit_dis)/cnt,2) > max_ed: |
| max_ed = round(float(edit_dis)/cnt,2) |
| if comp_type == "LLVM": |
| if isa_type == "CPU": |
| for line in open(src_dir + "/LLVM/RISCV.jsonl", 'r'): |
| dic = json.loads(line) |
| test_target_dic[str(cnt_idx) + " " + dic["Func"].replace("RISCV", "")] = dic["ground_truth"] |
| cnt_idx += 1 |
| |
| for tar in target_lis: |
| if tar == "RI5CY": |
| continue |
| edit_dis = 0.0 |
| EM = [] |
| bleu4 = 0.0 |
| stmt_mod = 0.0 |
| cnt = 0 |
| fork_target_dic = {} |
| for line in open(src_dir + "/" + comp_type + "/" + tar + ".jsonl", 'r'): |
| dic = json.loads(line) |
| fork_target_dic[dic["Func"].replace(tar, "")] = dic["ground_truth"] |
|
|
| for k in test_target_dic.keys(): |
| func = k.split(" ")[1] |
| src_code = " ".join(test_target_dic[k]).replace("RISCV", "") |
| if func in fork_target_dic.keys(): |
| fork_code = " ".join(fork_target_dic[func]).replace(tar, "") |
| stmt_mod += Calculate_Statements_Ratio(test_target_dic[k], fork_target_dic[func], "RISCV", tar) |
| else: |
| fork_code = "" |
| stmt_mod += Calculate_Statements_Ratio(test_target_dic[k], [], "RISCV", tar) |
| with open(dst_dir+"/test.output",'w') as f, open(dst_dir+"/test.gold",'w') as f1: |
| f.write(fork_code+'\n') |
| f1.write(src_code+'\n') |
| EM.append(fork_code==src_code) |
| edit_dis += fuzz.ratio(fork_code, src_code) |
| avg_ed += fuzz.ratio(fork_code, src_code) |
| cnt += 1 |
| avg_cnt += 1 |
| if fork_code.strip() == "": |
| bleu4 += 0 |
| else: |
| tmp_bleu4 = _bleu(dst_dir+"/test.gold", dst_dir+"/test.output") |
| bleu4 += tmp_bleu4 |
| avg_bleu4 += tmp_bleu4 |
| with open(dst_dir + '/result.csv', 'a', newline='') as file: |
| writer = csv.writer(file) |
| writer.writerow([comp_type, isa_type, tar, str(round(float(bleu4)/cnt,2)), str(round(np.mean(EM)*100,2)), str(round(float(edit_dis)/cnt,2)), str(round(float(stmt_mod)*100/cnt,2))]) |
| if round(float(bleu4)/cnt,2) > max_bleu4: |
| max_bleu4 = round(float(bleu4)/cnt,2) |
| if round(float(edit_dis)/cnt,2) > max_ed: |
| max_ed = round(float(edit_dis)/cnt,2) |
| if isa_type == "GPU": |
| for line in open(src_dir + "/LLVM/NVPTX.jsonl", 'r'): |
| dic = json.loads(line) |
| test_target_dic[str(cnt_idx) + " " + dic["Func"].replace("NVPTX", "")] = dic["ground_truth"] |
| cnt_idx += 1 |
| |
| for tar in target_lis: |
| edit_dis = 0.0 |
| EM = [] |
| bleu4 = 0.0 |
| stmt_mod = 0.0 |
| cnt = 0 |
| fork_target_dic = {} |
| for line in open(src_dir + "/" + comp_type + "/" + tar + ".jsonl", 'r'): |
| dic = json.loads(line) |
| fork_target_dic[dic["Func"].replace(tar, "")] = dic["ground_truth"] |
|
|
| for k in test_target_dic.keys(): |
| func = k.split(" ")[1] |
| src_code = " ".join(test_target_dic[k]).replace("NVPTX", "") |
| if func in fork_target_dic.keys(): |
| fork_code = " ".join(fork_target_dic[func]).replace(tar, "") |
| stmt_mod += Calculate_Statements_Ratio(test_target_dic[k], fork_target_dic[func], "NVPTX", tar) |
| else: |
| fork_code = "" |
| stmt_mod += Calculate_Statements_Ratio(test_target_dic[k], [], "NVPTX", tar) |
| |
| with open(dst_dir+"/test.output",'w') as f, open(dst_dir+"/test.gold",'w') as f1: |
| f.write(fork_code+'\n') |
| f1.write(src_code+'\n') |
| EM.append(fork_code==src_code) |
| edit_dis += fuzz.ratio(fork_code, src_code) |
| avg_ed += fuzz.ratio(fork_code, src_code) |
| cnt += 1 |
| avg_cnt += 1 |
| if fork_code.strip() == "": |
| bleu4 += 0 |
| else: |
| tmp_bleu4 = _bleu(dst_dir+"/test.gold", dst_dir+"/test.output") |
| bleu4 += tmp_bleu4 |
| avg_bleu4 += tmp_bleu4 |
| with open(dst_dir + '/result.csv', 'a', newline='') as file: |
| writer = csv.writer(file) |
| writer.writerow([comp_type, isa_type, tar, str(round(float(bleu4)/cnt,2)), str(round(np.mean(EM)*100,2)), str(round(float(edit_dis)/cnt,2)), str(round(float(stmt_mod)*100/cnt,2))]) |
| if round(float(bleu4)/cnt,2) > max_bleu4: |
| max_bleu4 = round(float(bleu4)/cnt,2) |
| if round(float(edit_dis)/cnt,2) > max_ed: |
| max_ed = round(float(edit_dis)/cnt,2) |
| if isa_type == "MPU": |
| for line in open(src_dir + "/LLVM/ARC.jsonl", 'r'): |
| dic = json.loads(line) |
| test_target_dic[str(cnt_idx) + " " + dic["Func"].replace("ARC", "")] = dic["ground_truth"] |
| cnt_idx += 1 |
| for tar in target_lis: |
| edit_dis = 0.0 |
| EM = [] |
| bleu4 = 0.0 |
| stmt_mod = 0.0 |
| cnt = 0 |
| fork_target_dic = {} |
| for line in open(src_dir + "/" + comp_type + "/" + tar + ".jsonl", 'r'): |
| dic = json.loads(line) |
| fork_target_dic[dic["Func"].replace(tar, "")] = dic["ground_truth"] |
|
|
| for k in test_target_dic.keys(): |
| func = k.split(" ")[1] |
| src_code = " ".join(test_target_dic[k]).replace("ARC", "") |
| if func in fork_target_dic.keys(): |
| fork_code = " ".join(fork_target_dic[func]).replace(tar, "") |
| stmt_mod += Calculate_Statements_Ratio(test_target_dic[k], fork_target_dic[func], "ARC", tar) |
| else: |
| fork_code = "" |
| stmt_mod += Calculate_Statements_Ratio(test_target_dic[k], [], "ARC", tar) |
| with open(dst_dir+"/test.output",'w') as f, open(dst_dir+"/test.gold",'w') as f1: |
| f.write(fork_code+'\n') |
| f1.write(src_code+'\n') |
| EM.append(fork_code==src_code) |
| edit_dis += fuzz.ratio(fork_code, src_code) |
| avg_ed += fuzz.ratio(fork_code, src_code) |
| cnt += 1 |
| avg_cnt += 1 |
| if fork_code.strip() == "": |
| bleu4 += 0 |
| else: |
| tmp_bleu4 = _bleu(dst_dir+"/test.gold", dst_dir+"/test.output") |
| bleu4 += tmp_bleu4 |
| avg_bleu4 += tmp_bleu4 |
| |
| |
| with open(dst_dir + '/result.csv', 'a', newline='') as file: |
| writer = csv.writer(file) |
| writer.writerow([comp_type, isa_type, tar, str(round(float(bleu4)/cnt,2)), str(round(np.mean(EM)*100,2)), str(round(float(edit_dis)/cnt,2)), str(round(float(stmt_mod)*100/cnt,2))]) |
| if round(float(bleu4)/cnt,2) > max_bleu4: |
| max_bleu4 = round(float(bleu4)/cnt,2) |
| if round(float(edit_dis)/cnt,2) > max_ed: |
| max_ed = round(float(edit_dis)/cnt,2) |
| print(comp_type + " " + isa_type) |
| print("Avg ED: " + str(round(float(avg_ed)/avg_cnt,2))) |
| print("Max ED: " + str(max_ed)) |
| print("Avg BLEU4: " + str(round(float(avg_bleu4)/avg_cnt,2))) |
| print("Max BLEU4: " + str(max_bleu4)) |
| print("\n\n") |
|
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|
|
|
| if __name__ == "__main__": |
| with open(dst_dir + '/result.csv', 'w', newline='') as file: |
| writer = csv.writer(file) |
| writer.writerow(["Compiler Type", "ISA Type", "Target", "BLEU4", "Exact Match", "Edit Didtance", "Stmt_Ratio"]) |
| Calculate_Forkflow() |
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