in visualization_utils/plotting-ying.py [0:0]
def plot_codesign_rate_efficacy_per_workloads(input_dir_names, res_column_name_number):
#itrColNum = all_res_column_name_number["iteration cnt"]
#distColNum = all_res_column_name_number["dist_to_goal_non_cost"]
trueNum = all_res_column_name_number["move validity"]
move_name_number = all_res_column_name_number["move name"]
# experiment_names
file_full_addr_list = []
for dir_name in input_dir_names:
file_full_addr = os.path.join(dir_name, "result_summary/FARSI_simple_run_0_1_all_reults.csv")
file_full_addr_list.append(file_full_addr)
axis_font = {'fontname': 'Arial', 'size': '4'}
x_column_name = "iteration cnt"
#y_column_name_list = ["high level optimization name", "exact optimization name", "architectural principle", "comm_comp"]
y_column_name_list = ["exact optimization name", "architectural principle", "comm_comp", "workload"]
#y_column_name_list = ["high level optimization name", "exact optimization name", "architectural principle", "comm_comp"]
column_co_design_cnt = {}
column_non_co_design_cnt = {}
column_co_design_rate = {}
column_non_co_design_rate = {}
column_co_design_efficacy_rate = {}
column_non_co_design_efficacy_rate = {}
column_non_co_design_efficacy = {}
column_co_design_efficacy= {}
last_col_val = ""
for file_full_addr in file_full_addr_list:
experiment_name = get_experiments_name(file_full_addr, res_column_name_number)
column_co_design_cnt = {}
for y_column_name in y_column_name_list:
y_column_number = res_column_name_number[y_column_name]
x_column_number = res_column_name_number[x_column_name]
dis_to_goal_column_number = res_column_name_number["dist_to_goal_non_cost"]
ref_des_dis_to_goal_column_number = res_column_name_number["ref_des_dist_to_goal_non_cost"]
column_co_design_cnt[y_column_name] = []
column_non_co_design_cnt[y_column_name] = []
column_non_co_design_efficacy[y_column_name] = []
column_co_design_efficacy[y_column_name] = []
all_values = get_all_col_values_of_a_folders(input_dir_names, all_res_column_name_number, y_column_name)
with open(file_full_addr, newline='') as csvfile:
resultReader = csv.reader(csvfile, delimiter=',', quotechar='|')
rows = list(resultReader)
for i, row in enumerate(rows):
if i >= 1:
last_row = rows[i - 1]
if row[y_column_number] not in all_values or row[trueNum] == "False" or row[move_name_number]=="identity":
continue
col_value = row[y_column_number]
col_values = col_value.split(";")
for idx, col_val in enumerate(col_values):
delta_x_column = (float(row[x_column_number]) - float(last_row[x_column_number]))/len(col_values)
value_to_add_1 = (float(last_row[x_column_number]) + idx * delta_x_column, 1)
value_to_add_0 = (float(last_row[x_column_number]) + idx * delta_x_column, 0)
# only for improvement
if float(row[ref_des_dis_to_goal_column_number]) - float(row[dis_to_goal_column_number]) < 0:
continue
if not col_val == last_col_val:
column_co_design_cnt[y_column_name].append(value_to_add_1)
column_non_co_design_cnt[y_column_name].append(value_to_add_0)
column_co_design_efficacy[y_column_name].append((float(row[ref_des_dis_to_goal_column_number]) - float(row[dis_to_goal_column_number]))/float(row[ref_des_dis_to_goal_column_number]))
column_non_co_design_efficacy[y_column_name].append(0)
else:
column_co_design_cnt[y_column_name].append(value_to_add_0)
column_non_co_design_cnt[y_column_name].append(value_to_add_1)
column_co_design_efficacy[y_column_name].append(0)
column_non_co_design_efficacy[y_column_name].append((float(row[ref_des_dis_to_goal_column_number]) - float(row[dis_to_goal_column_number]))/float(row[ref_des_dis_to_goal_column_number]))
last_col_val = col_val
# co_des cnt
x_values_co_design_cnt = [el[0] for el in column_co_design_cnt[y_column_name]]
y_values_co_design_cnt = [el[1] for el in column_co_design_cnt[y_column_name]]
y_values_co_design_cnt_total =sum(y_values_co_design_cnt)
total_iter = x_values_co_design_cnt[-1]
# non co_des cnt
x_values_non_co_design_cnt = [el[0] for el in column_non_co_design_cnt[y_column_name]]
y_values_non_co_design_cnt = [el[1] for el in column_non_co_design_cnt[y_column_name]]
y_values_non_co_design_cnt_total =sum(y_values_non_co_design_cnt)
column_co_design_rate[y_column_name] = y_values_co_design_cnt_total/total_iter
column_non_co_design_rate[y_column_name] = y_values_non_co_design_cnt_total/total_iter
# co_des efficacy
y_values_co_design_efficacy = column_co_design_efficacy[y_column_name]
y_values_co_design_efficacy_total =sum(y_values_co_design_efficacy)
# non co_des efficacy
y_values_non_co_design_efficacy = column_non_co_design_efficacy[y_column_name]
y_values_non_co_design_efficacy_total =sum(y_values_non_co_design_efficacy)
column_co_design_efficacy_rate[y_column_name] = y_values_co_design_efficacy_total/(y_values_non_co_design_efficacy_total + y_values_co_design_efficacy_total)
column_non_co_design_efficacy_rate[y_column_name] = y_values_non_co_design_efficacy_total/(y_values_non_co_design_efficacy_total + y_values_co_design_efficacy_total)
result = {"rate":{}, "efficacy":{}}
rate_column_co_design = {}
result["rate"] = {"co_design":column_co_design_rate, "non_co_design": column_non_co_design_rate}
result["efficacy_rate"] = {"co_design":column_co_design_efficacy_rate, "non_co_design": column_non_co_design_efficacy_rate}
# prepare for plotting and plot
plt.figure()
plotdata = pd.DataFrame(result["rate"], index=y_column_name_list)
fontSize = 10
plotdata.plot(kind='bar', fontsize=fontSize, stacked=True)
plt.xticks(fontsize=fontSize, rotation=6)
plt.yticks(fontsize=fontSize)
plt.xlabel("co design parameter", fontsize=fontSize)
plt.ylabel("co design rate", fontsize=fontSize)
plt.title("co desgin rate of different parameters", fontsize=fontSize)
# dump in the top folder
output_base_dir = '/'.join(input_dir_names[0].split("/")[:-2])
output_dir = os.path.join(output_base_dir, "single_workload/co_design_rate")
if not os.path.exists(output_dir):
os.makedirs(output_dir)
plt.savefig(os.path.join(output_dir,experiment_name +"_"+"co_design_rate_"+'_'.join(y_column_name_list)+".png"))
plt.close('all')
plt.figure()
plotdata = pd.DataFrame(result["efficacy_rate"], index=y_column_name_list)
fontSize = 10
plotdata.plot(kind='bar', fontsize=fontSize, stacked=True)
plt.xticks(fontsize=fontSize, rotation=6)
plt.yticks(fontsize=fontSize)
plt.xlabel("co design parameter", fontsize=fontSize)
plt.ylabel("co design efficacy rate", fontsize=fontSize)
plt.title("co design efficacy rate of different parameters", fontsize=fontSize)
# dump in the top folder
output_base_dir = '/'.join(input_dir_names[0].split("/")[:-2])
output_dir = os.path.join(output_base_dir, "single_workload/co_design_rate")
if not os.path.exists(output_dir):
os.makedirs(output_dir)
plt.savefig(os.path.join(output_dir,experiment_name+"_"+"co_design_efficacy_rate_"+'_'.join(y_column_name_list)+".png"))
plt.close('all')