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kh_vlsi2.py
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kh_vlsi2.py
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import numpy as np
import random
import math
import time
def func1(ind):
with open('tfa_leak_25,0.8.sp','r') as file:
data=file.readlines()
#ind=str(ind)
#print(len(data))
#print(data[39])
#print("lol",len(data))
#data[27]= '.param wp='+str(ind[0])+'n'+'\n'
#data[28]= '.param wn='+str(ind[1])+'n'+'\n'
#data[29]= '.param lp='+str(ind[2])+'n'+'\n'
#data[30]= '.param ln='+str(ind[3])+'n'+'\n'
data[34]='Mp1 1 nodea vdd vdd pmos l=' + str(ind[1]) + 'n ' + 'w=' + str(ind[0]) + 'n\n'
data[35]='Mp2 1 nodeb vdd vdd pmos l=' + str(ind[3]) + 'n ' + 'w=' + str(ind[2]) + 'n\n'
data[36]='Mp3 nodecon nodec 1 vdd pmos l=' + str(ind[5]) + 'n ' + 'w=' + str(ind[4]) + 'n\n'
data[37]='Mn1 5 nodea gnd gnd nmos l=' + str(ind[7]) + 'n ' + 'w=' + str(ind[6]) + 'n\n'
data[38]='Mn2 5 nodeb gnd gnd nmos l=' + str(ind[9]) + 'n ' + 'w=' + str(ind[8]) + 'n\n'
data[39]='Mn3 nodecon nodec 5 gnd nmos l=' + str(ind[11]) + 'n ' + 'w=' + str(ind[10]) + 'n\n'
data[40]='Mp4 4 nodea vdd vdd pmos l=' + str(ind[13]) + 'n ' + 'w=' + str(ind[12]) + 'n\n'
data[41]='Mp5 nodecon nodeb 4 vdd pmos l=' + str(ind[15]) + 'n ' + 'w=' + str(ind[14]) + 'n\n'
data[42]='Mn4 nodecon nodeb node4 gnd nmos l=' + str(ind[17]) + 'n ' + 'w=' + str(ind[16]) + 'n\n'
data[43]='Mn5 node4 nodea gnd gnd nmos l=' + str(ind[19]) + 'n ' + 'w=' + str(ind[18]) + 'n\n'
data[44]='Mp6 2 nodea vdd vdd pmos l=' + str(ind[21]) + 'n ' + 'w=' + str(ind[20]) + 'n\n'
data[45]='Mp7 2 nodeb vdd vdd pmos l=' + str(ind[23]) + 'n ' + 'w=' + str(ind[22]) + 'n\n'
data[46]='Mp8 2 nodec vdd vdd pmos l=' + str(ind[25]) + 'n ' + 'w=' + str(ind[24]) + 'n\n'
data[47]='Mp9 nodes0n nodecon 2 vdd pmos l=' + str(ind[27]) + 'n ' + 'w=' + str(ind[26]) + 'n\n'
data[48]='Mn6 3 nodea gnd gnd nmos l=' + str(ind[29]) + 'n ' + 'w=' + str(ind[28]) + 'n\n'
data[49]='Mn7 3 nodeb gnd gnd nmos l=' + str(ind[31]) + 'n ' + 'w=' + str(ind[30]) + 'n\n'
data[50]='Mn8 3 nodec gnd gnd nmos l=' + str(ind[33]) + 'n ' + 'w=' + str(ind[32]) + 'n\n'
data[51]='Mn9 nodes0n nodecon 3 gnd nmos l=' + str(ind[35]) + 'n ' + 'w=' + str(ind[34]) + 'n\n'
data[52]='Mp10 9 nodea vdd vdd pmos l=' + str(ind[37]) + 'n ' + 'w=' + str(ind[36]) + 'n\n'
data[53]='Mp11 8 nodeb 9 vdd pmos l=' + str(ind[39]) + 'n ' + 'w=' + str(ind[38]) + 'n\n'
data[54]='Mp12 nodes0n nodec 8 vdd pmos l=' + str(ind[41]) + 'n ' + 'w=' + str(ind[40]) + 'n\n'
data[55]='Mn10 7 nodea gnd gnd nmos l=' + str(ind[43]) + 'n ' + 'w=' + str(ind[42]) + 'n\n'
data[56]='Mn11 6 nodeb 7 gnd nmos l=' + str(ind[45]) + 'n ' + 'w=' + str(ind[44]) + 'n\n'
data[57]='Mn12 nodes0n nodec 6 gnd nmos l=' + str(ind[47]) + 'n ' + 'w=' + str(ind[46]) + 'n\n'
data[58]='Mp13 nodeco nodecon vdd vdd pmos l=' + str(ind[49]) + 'n ' + 'w=' + str(ind[48]) + 'n\n'
data[59]='Mn13 nodeco nodecon gnd gnd nmos l=' + str(ind[51]) + 'n ' + 'w=' + str(ind[50]) + 'n\n'
data[60]='Mp14 nodes0 nodes0n vdd vdd pmos l=' + str(ind[53]) + 'n ' + 'w=' + str(ind[52]) + 'n\n'
data[61]='Mn14 nodes0 nodes0n gnd gnd nmos l=' + str(ind[55]) + 'n ' + 'w=' + str(ind[54]) + 'n\n'
with open('tfa_leak_25,0.8.sp','w') as file:
file.writelines(data)
from subprocess import call
call(["hspice64", "tfa_leak_25,0.8.sp"])
with open('tfa_leak_25,0.8.ms0','r') as file:
data=file.readlines()
# list_of_elements=list()
# final_list=list()
# list_of_elements.extend([float(x) for x in data[8].split()])
# final_list.append(list_of_elements[1])
final_list=list()
list_of_elements=list()
list_of_elements.extend([float(x) for x in data[14].split()])
final_list.append(list_of_elements[0])
list_of_elements=list()
list_of_elements.extend([float(x) for x in data[21].split()])
final_list.append(list_of_elements[0])
list_of_elements=list()
list_of_elements.extend([float(x) for x in data[28].split()])
final_list.append(list_of_elements[0])
list_of_elements=list()
list_of_elements.extend([float(x) for x in data[35].split()])
final_list.append(list_of_elements[0])
list_of_elements=list()
list_of_elements.extend([float(x) for x in data[42].split()])
final_list.append(list_of_elements[0])
list_of_elements=list()
list_of_elements.extend([float(x) for x in data[49].split()])
final_list.append(list_of_elements[0])
list_of_elements=list()
list_of_elements.extend([float(x) for x in data[56].split()])
final_list.append(list_of_elements[0])
list_of_elements=list()
list_of_elements.extend([float(x) for x in data[63].split()])
final_list.append(list_of_elements[0])
return final_list
def func2(ind):
with open('tfa_del_25,0.8.sp','r') as file:
data=file.readlines()
# data[57]='Mp1 nodez nodea vdd! vdd! pmos w=' + str(ind[0]) + 'n' + ' l=' + str(ind[2]) + 'n \n'
# data[58]='Mn1 nodez nodea gndd! gndd! nmos w='+ str(ind[1]) + 'n' + ' l=' + str(ind[3]) + 'n \n'
data[33]='Mp1 1 nodea vdd vdd pmos l=' + str(ind[1]) + 'n ' + 'w=' + str(ind[0]) + 'n\n'
data[34]='Mp2 1 nodeb vdd vdd pmos l=' + str(ind[3]) + 'n ' + 'w=' + str(ind[2]) + 'n\n'
data[35]='Mp3 nodecon nodec 1 vdd pmos l=' + str(ind[5]) + 'n ' + 'w=' + str(ind[4]) + 'n\n'
data[36]='Mn1 5 nodea gnd gnd nmos l=' + str(ind[7]) + 'n ' + 'w=' + str(ind[6]) + 'n\n'
data[37]='Mn2 5 nodeb gnd gnd nmos l=' + str(ind[9]) + 'n ' + 'w=' + str(ind[8]) + 'n\n'
data[38]='Mn3 nodecon nodec 5 gnd nmos l=' + str(ind[11]) + 'n ' + 'w=' + str(ind[10]) + 'n\n'
data[39]='Mp4 4 nodea vdd vdd pmos l=' + str(ind[13]) + 'n ' + 'w=' + str(ind[12]) + 'n\n'
data[40]='Mp5 nodecon nodeb 4 vdd pmos l=' + str(ind[15]) + 'n ' + 'w=' + str(ind[14]) + 'n\n'
data[41]='Mn4 nodecon nodeb node4 gnd nmos l=' + str(ind[17]) + 'n ' + 'w=' + str(ind[16]) + 'n\n'
data[42]='Mn5 node4 nodea gnd gnd nmos l=' + str(ind[19]) + 'n ' + 'w=' + str(ind[18]) + 'n\n'
data[43]='Mp6 2 nodea vdd vdd pmos l=' + str(ind[21]) + 'n ' + 'w=' + str(ind[20]) + 'n\n'
data[44]='Mp7 2 nodeb vdd vdd pmos l=' + str(ind[23]) + 'n ' + 'w=' + str(ind[22]) + 'n\n'
data[45]='Mp8 2 nodec vdd vdd pmos l=' + str(ind[25]) + 'n ' + 'w=' + str(ind[24]) + 'n\n'
data[46]='Mp9 nodes0n nodecon 2 vdd pmos l=' + str(ind[27]) + 'n ' + 'w=' + str(ind[26]) + 'n\n'
data[47]='Mn6 3 nodea gnd gnd nmos l=' + str(ind[29]) + 'n ' + 'w=' + str(ind[28]) + 'n\n'
data[48]='Mn7 3 nodeb gnd gnd nmos l=' + str(ind[31]) + 'n ' + 'w=' + str(ind[30]) + 'n\n'
data[49]='Mn8 3 nodec gnd gnd nmos l=' + str(ind[33]) + 'n ' + 'w=' + str(ind[32]) + 'n\n'
data[50]='Mn9 nodes0n nodecon 3 gnd nmos l=' + str(ind[35]) + 'n ' + 'w=' + str(ind[34]) + 'n\n'
data[51]='Mp10 9 nodea vdd vdd pmos l=' + str(ind[37]) + 'n ' + 'w=' + str(ind[36]) + 'n\n'
data[52]='Mp11 8 nodeb 9 vdd pmos l=' + str(ind[39]) + 'n ' + 'w=' + str(ind[38]) + 'n\n'
data[53]='Mp12 nodes0n nodec 8 vdd pmos l=' + str(ind[41]) + 'n ' + 'w=' + str(ind[40]) + 'n\n'
data[54]='Mn10 7 nodea gnd gnd nmos l=' + str(ind[43]) + 'n ' + 'w=' + str(ind[42]) + 'n\n'
data[55]='Mn11 6 nodeb 7 gnd nmos l=' + str(ind[45]) + 'n ' + 'w=' + str(ind[44]) + 'n\n'
data[56]='Mn12 nodes0n nodec 6 gnd nmos l=' + str(ind[47]) + 'n ' + 'w=' + str(ind[46]) + 'n\n'
data[57]='Mp13 nodeco nodecon vdd vdd pmos l=' + str(ind[49]) + 'n ' + 'w=' + str(ind[48]) + 'n\n'
data[58]='Mn13 nodeco nodecon gnd gnd nmos l=' + str(ind[51]) + 'n ' + 'w=' + str(ind[50]) + 'n\n'
data[59]='Mp14 nodes0 nodes0n vdd vdd pmos l=' + str(ind[53]) + 'n ' + 'w=' + str(ind[52]) + 'n\n'
data[60]='Mn14 nodes0 nodes0n gnd gnd nmos l=' + str(ind[55]) + 'n ' + 'w=' + str(ind[54]) + 'n\n'
print("PRINTING DATA", data)
with open('tfa_del_25,0.8.sp','w')as file:
file.writelines(data)
from subprocess import call
call(["hspice64","tfa_del_25,0.8.sp"])
with open('tfa_del_25,0.8.mt0','r') as file:
data=file.readlines()
final_list=list()
# strings=data[4].split()
# final_list.append(float(strings[2]))
final_list.extend([float(x) for x in data[4].split()])
tp = data[5].split()
final_list.append(float(tp[0]))
final_list.append(float(tp[1]))
# s = 0
# for i in final_list:
# s += i
# if i > DELAY_MAX :
# return 1
# print("UUUUUUUUUUUUUUUUUUUUUUUUUUU", s)
# return(s/6)
return final_list
def func3(ind):
cost, delay, leakage = list(), list(), list()
leakage = func1(ind)
delay = func2(ind)
cost.append(sum(leakage) / len(leakage))
cost.extend(delay)
return cost
def func4(ind):
cost, delay, leakage = list(), list(), list()
leakage = func1(ind)
delay = func2(ind)
cost.extend(leakage)
cost.extend(delay)
return cost
def print_krills(krills):
for i in krills:
print(i.X)
def l2_norm(X):
return np.linalg.norm(X)
res = []
class Krill:
def __init__(self, n, obj_func, ub, lb):
self.X = [random.random() * (ub[i] - lb[i]) for i in range(n)]
self.X = [self.X[i] + lb[i] for i in range(n)]
self.X = np.array(self.X)
self.N = np.zeros((n,))
self.F = np.zeros((n,))
self.X_best = self.X[:]
self.cost = obj_func(self.X_best)
self.K_best = self.cost[0]
self.K = self.K_best
class KrillHerd():
def pos_effect(self, X_i, X_j):
return (X_j - X_i) / (l2_norm(X_j - X_i) + self.eps)
def fitness_effect(self, K_i, K_j):
print(type(K_i), type(K_j), type(self.K_ibest), type(self.K_iworst))
return (K_i - K_j) / (self.K_ibest - self.K_iworst + self.eps)
def collect_neighbors(self, krill_i):
d_s = 0
for j in range(self.nk):
d_s += l2_norm(np.array(self.krills[j].X) - np.array(krill_i.X))
d_s /= (5 * self.nk)
neighbors = list()
for j in range(self.nk):
if l2_norm(self.krills[j].X - krill_i.X) <= d_s:
neighbors.append(self.krills[j])
return neighbors
def neighbors_motion(self, krill_i):
neighbors = self.collect_neighbors(krill_i)
alpha_loc = 0
for i in neighbors:
alpha_loc += self.fitness_effect(krill_i.K, i.K) * self.pos_effect(krill_i.X, i.X)
return alpha_loc
def target_motion(self, krill_i, it):
return 2 * (random.random() + it/self.iter) * self.fitness_effect(krill_i.K, self.K_ibest) * self.pos_effect(krill_i.X, self.X_ibest)
def foraging_motion(self, krill_i, it):
X_food = 0
tmp = 0
for i in range(self.nk):
X_food += (self.krills[i].X/self.krills[i].K)
tmp += (1/self.krills[i].K)
X_food /= tmp
return 2 * (1 - it/self.iter) * self.pos_effect(krill_i.X, X_food) * self.fitness_effect(krill_i.K , self.obj_func(X_food)[0])
def target_foraging(self, krill_i):
return self.fitness_effect(krill_i.K, krill_i.K_best) * self.pos_effect(krill_i.X, krill_i.X_best)
def crossover(self, krill_i):
C_r = 0.2 * self.fitness_effect(krill_i.K, self.K_ibest)
X_new = list(krill_i.X)
r = int(round(self.nk * random.random()))
for m in range(self.n_dim):
if (random.uniform(0, 1) < C_r):
X_new[m] = self.krills[r].X[m]
return X_new
def __init__(self, n_dim = 1, obj_func = None, wn = 0.42, V_f = 0.02, wf = 0.38, eps = 1e-30, iter = 100, nk = 50,
N_max=0.01, D_max=0.005, ub = None, lb = None, delay_max = 1e30):
global res
self.n_dim, self.obj_func, self.wn, self.V_f, self.wf, self.eps, self.iter, self.nk, self.N_max, self.D_max = n_dim, obj_func, wn, V_f, wf, eps, iter, nk, N_max, D_max
self.ub = ub
self.lb = lb
self.krills = list()
for i in range(nk):
self.krills.append(Krill(n_dim, obj_func, self.ub, self.lb))
# print_krills(self.krills)
self.K_ibest = self.krills[0].K_best
self.K_iworst = self.K_ibest
self.X_ibest = list(self.krills[0].X_best)
for i in range(nk - 1):
if (self.krills[i + 1].K_best < self.K_ibest):
self.K_ibest = self.krills[i + 1].K_best
self.X_ibest = list(self.krills[i + 1].X_best)
self.K_iworst = max(self.K_iworst, self.krills[i + 1].K_best)
self.krills[0].X = [644.584317 , 23.61469777, 376.19453913, 23.31980614, 314.72019919, 24.00193171, 197.08318777, 23.94738964, 249.94698551, 23.79239723, 249.26212746, 22.82867611, 309.57756591, 23.3390415, 432.29375918, 24.62248823, 69.86302452, 24.97343848, 74.05475382, 24.17444322, 343.48842755, 23.32701916, 438.88500902, 22.19928252, 213.74956825, 23.59555851, 895.45197254, 24.27548629, 282.12162799, 22.75535012, 226.95525205, 22.03573876, 141.93920618, 23.49121848, 569.6262448 , 22.89554662, 376.17952665, 24.35810227, 436.12129873, 23.73065596, 120.38467802, 23.39828366, 79.75771782, 24.27139221, 778.68322422, 22.67653586, 68.15509386, 23.50315675, 888.91323128, 22.10812629, 880.105946 , 23.21088792, 531.49491888, 23.8938607, 93.66091828, 23.75944689]
self.krills[0].X = np.array(self.krills[0].X)
self.X_best = list(self.krills[0].X)
self.krills[0].cost = obj_func(self.krills[0].X_best)
self.krills[0].K_best = self.krills[0].cost[0]
i = 0
for it in range(self.iter):
flag = 0
while(i < nk):
# Delay in bound check
for j in range(len(self.krills[i].cost) - 1):
if self.krills[i].cost[j + 1] >= delay_max:
self.krills[i].X = [random.random() * (self.ub[k] - self.lb[k]) for k in range(len(self.ub))]
self.krills[i].X = [self.krills[i].X[k] + self.lb[k] for k in range(len(self.lb))]
self.krills[i].X = np.array(self.krills[i].X)
self.krills[i].N = np.zeros((self.n_dim,))
self.krills[i].F = np.zeros((self.n_dim,))
self.krills[i].X_best = self.krills[i].X[:]
self.krills[i].cost = obj_func(self.krills[i].X_best)
self.krills[i].K_best = self.krills[i].cost[0]
self.krills[i].K = self.krills[i].K_best
flag = 1
break
if(flag):
continue
# Other krills induced motion
alpha_loc = self.neighbors_motion(self.krills[i])
alpha_target = self.target_motion(self.krills[i], it)
self.krills[i].N = alpha_loc * self.N_max + alpha_target * self.krills[i].N
# Foraging Motion
beta_food = self.foraging_motion(self.krills[i], it)
beta_best = self.target_foraging(self.krills[i])
self.krills[i].F = self.V_f * (beta_best + beta_food) + self.wf * self.krills[i].F
# Physical Diffusion
delta = ([2 * random.random() for k in range(self.n_dim)]) - np.ones((self.n_dim, ))
D_i = self.D_max * (1 - it/self.iter) * delta
# Time scaling factor delta_t
delta_t = 1.5 * np.sum(np.array(ub) - np.array(lb))
# Crossover
self.krills[i].X = list(self.crossover(self.krills[i]))
# Updates
self.krills[i].X += delta_t * (self.krills[i].N + self.krills[i].F + D_i)
for x in range(self.n_dim):
if (self.krills[i].X[x] > self.ub[x]):
self.krills[i].X[x] = self.lb[x] + (self.ub[x] - self.lb[x]) * random.random()
if (self.krills[i].X[x] < self.lb[x]):
self.krills[i].X[x] = self.lb[x] + (self.ub[x] - self.lb[x]) * random.random()
# self.krills[i].X[x] = min(self.krills[i].X[x], self.ub[0])
# self.krills[i].X[x] = max(self.krills[i].X[x], self.lb[0])
self.krills[i].cost = self.obj_func(self.krills[i].X)
self.krills[i].K = self.krills[i].cost[0]
if (self.krills[i].K < self.krills[i].K_best):
self.krills[i].K_best = self.krills[i].K
self.krills[i].X_best = list(self.krills[i].X)
# if (self.krills[i].K < self.K_ibest):
# self.K_ibest = self.krills[i].K
# self.X_ibest = list(self.krills[i].X)
# res = i
# print("HERD", i, self.krills[i].X, res, self.K_ibest)
# elif (self.krills[i].K > self.K_iworst):
# self.K_iworst = self.krills[i].K
for i in range(nk - 1):
if (self.krills[i + 1].K_best < self.K_ibest):
self.K_ibest = self.krills[i + 1].K_best
self.X_ibest = list(self.krills[i + 1].X_best)
print("HERD", i, self.krills[i + 1].X_best, res, self.K_ibest)
self.K_iworst = max(self.K_iworst, self.krills[i + 1].K_best)
# if i == 0:
# print("KRILL", i)
# print("X", self.krills[i].X)
# print("K", self.krills[i].K)
# print("N", self.krills[i].N)
# print("F", self.krills[i].F)
# print("D", D_i)
# time.sleep(5)
print("FINAL", self.X_ibest, self.K_ibest)
# time.sleep(5)
def peak(X):
return X[0] * math.exp(-(X[0]**2 + X[1]**2))
def sphere(X):
res = 0
for i in X:
res += i ** 2
return res
def main():
l1 = [1000, 25] * 28
l2 = [44, 22] * 28
#print(ub, lb)
KrillHerd(n_dim=56, obj_func=func3, ub=l1, lb=l2, iter=100, nk=20, delay_max=9.85784e-12)
if __name__ == "__main__":
main()