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sweep_config_mlperf.py
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import evaluate
import os
import configparser as cp
from sklearn.linear_model import LinearRegression
import matplotlib.pyplot as plt
import numpy as np
def gen_run_config(tech_node=None):
arch_list = ["tpu", "eyeriss"]
network_list = ["mlperf"]
bit_list = ["8"]
cycle_list = ["32", "64", "128"]
ram_list = ["ddr3_w__spm", "ddr3_wo_spm"]
for a in arch_list:
for b in bit_list:
# ugemm rate
str_flag = "UgemmRate"
computing = "ug"
for c in ["256"]:
for n in network_list:
for r in ram_list[1:]:
path = a + "_" + b.zfill(2) + "b_" + computing + "_" + c.zfill(3) + "c_" + n + "_" + r
print(path)
if not os.path.exists("./config/" + path):
os.system("mkdir ./config/" + path)
cmd = "cp ./config_src/network_config/" + n + "/network.csv " + "./config/" + path
os.system(cmd)
cfg_log = ""
cfg_file = open("./config/" + path + "/network.csv", "r")
first = True
for entry in cfg_file:
if first == True:
cfg_log += entry
first = False
continue
elems = entry.strip().split(',')
elems = prune(elems)
if len(elems) == 11:
elems[10] = c
for e in elems:
cfg_log += e + ",\t"
cfg_log += "\n"
cfg_file.close()
cfg_file = open("./config/" + path + "/network.csv", "w")
cfg_file.write(cfg_log)
cfg_file.close()
# get systolic.cfg
cmd = "cp ./config_src/systolic_config/" + a + "/systolic.cfg " + "./config/" + path
os.system(cmd)
cfg_log = ""
cfg_file = open("./config/" + path + "/systolic.cfg", "r")
for entry in cfg_file:
elems = entry.strip().split(':')
elems = prune(elems)
if len(elems) == 2 and elems[0] == "WordByte":
elems[1] = str(float(b) / 8)
if len(elems) == 2 and elems[0] == "Computing":
elems[1] = str_flag
if len(elems) == 2 and (elems[0] == "ZeroIfmapSram" or elems[0] == "ZeroFilterSram" or elems[0] == "ZeroOfmapSram"):
if r == "ddr3_w__spm":
elems[1] = "False"
elif r == "ddr3_wo_spm":
elems[1] = "True"
else:
raise ValueError("Unknown sram setting.")
if len(elems) == 2:
cfg_log += elems[0] + ":\t" + elems[1] + "\n"
else:
cfg_log += entry
cfg_file.close()
cfg_file = open("./config/" + path + "/systolic.cfg", "w")
cfg_file.write(cfg_log)
cfg_file.close()
# get sram.cfg
cmd = "cp ./config_src/memory_config/sram.cfg " + "./config/" + path
os.system(cmd)
cfg_log = ""
cfg_file = open("./config/" + path + "/sram.cfg", "r")
for entry in cfg_file:
elems = entry.strip().split(' ')
elems = prune(elems)
if len(elems) == 3 and elems[0] == "-technology" and elems[1] == "(u)":
if tech_node == "32nm_rvt":
elems[2] = str(0.032)
elif tech_node == "45nm_rvt":
elems[2] = str(0.045)
else:
raise ValueError("Unknown sram tech node.")
if len(elems) == 3:
cfg_log += elems[0] + " " + elems[1] + " " + elems[2] + "\n"
else:
cfg_log += entry
cfg_file.close()
cfg_file = open("./config/" + path + "/sram.cfg", "w")
cfg_file.write(cfg_log)
cfg_file.close()
# get pe.cfg
if b == "8":
cmd = "cp ./synthesis/" + tech_node + "/8bit/*.cfg " + "./config/" + path
os.system(cmd)
elif b == "16":
cmd = "cp ./synthesis/" + tech_node + "/16bit/*.cfg " + "./config/" + path
os.system(cmd)
else:
raise ValueError("Unknown word bit setting.")
# parse regression file
if a == "eyeriss":
H = np.log2(12)
W = np.log2(14)
elif a == "tpu":
H = np.log2(256)
W = np.log2(256)
else:
raise ValueError("Unknown arch.")
config = cp.ConfigParser()
config.read("./config/" + path + "/regression.cfg")
area_params = config.get(str_flag, 'Area').split(',')
area_reg = LinearRegression()
area_reg.coef_ = np.array([float(area_params[0].strip()), float(area_params[1].strip())])
area_reg.intercept_ = float(area_params[2].strip())
area_b_scale = float(area_params[3].strip()) * area_reg.predict([[H, W]])[0]
area_i_scale = float(area_params[4].strip()) * area_reg.predict([[H, W]])[0]
leakage_params = config.get(str_flag, 'Leakage').split(',')
leakage_reg = LinearRegression()
leakage_reg.coef_ = np.array([float(leakage_params[0].strip()), float(leakage_params[1].strip())])
leakage_reg.intercept_ = float(leakage_params[2].strip())
leakage_b_scale = float(leakage_params[3].strip()) * leakage_reg.predict([[H, W]])[0]
leakage_i_scale = float(leakage_params[4].strip()) * leakage_reg.predict([[H, W]])[0]
dynamic_params = config.get(str_flag, 'Dynamic').split(',')
dynamic_reg = LinearRegression()
dynamic_reg.coef_ = np.array([float(dynamic_params[0].strip()), float(dynamic_params[1].strip())])
dynamic_reg.intercept_ = float(dynamic_params[2].strip())
dynamic_b_scale = float(dynamic_params[3].strip()) * dynamic_reg.predict([[H, W]])[0]
dynamic_i_scale = float(dynamic_params[4].strip()) * dynamic_reg.predict([[H, W]])[0]
cfg_log = ""
cfg_file = open("./config/" + path + "/pe.cfg", "r")
find_flag = False
done_flag = False
for entry in cfg_file:
if done_flag == False:
elems = prune(entry.strip().split(':'))
if len(elems) == 2:
elems = elems[:1] + prune(elems[1].strip().split(','))
if len(elems) > 0 and find_flag == False:
if elems[0] == "[" + str_flag + "]":
find_flag = True
cfg_log += entry
else:
cfg_log += entry
elif find_flag == True and len(elems) > 0:
if elems[0] == "IREG":
cfg_log += elems[0] + ":\t" + \
str(float(elems[1]) * area_b_scale) + ",\t" + str(float(elems[2]) * leakage_b_scale) + ",\t" + str(float(elems[3]) * dynamic_b_scale) + ",\t" + \
str(float(elems[4]) * area_i_scale) + ",\t" + str(float(elems[5]) * leakage_i_scale) + ",\t" + str(float(elems[6]) * dynamic_i_scale) + ",\t\n"
elif elems[0] == "WREG":
cfg_log += elems[0] + ":\t" + \
str(float(elems[1]) * area_b_scale) + ",\t" + str(float(elems[2]) * leakage_b_scale) + ",\t" + str(float(elems[3]) * dynamic_b_scale) + ",\t" + \
str(float(elems[4]) * area_i_scale) + ",\t" + str(float(elems[5]) * leakage_i_scale) + ",\t" + str(float(elems[6]) * dynamic_i_scale) + ",\t\n"
elif elems[0] == "MUL":
cfg_log += elems[0] + ":\t" + \
str(float(elems[1]) * area_b_scale) + ",\t" + str(float(elems[2]) * leakage_b_scale) + ",\t" + str(float(elems[3]) * dynamic_b_scale) + ",\t" + \
str(float(elems[4]) * area_i_scale) + ",\t" + str(float(elems[5]) * leakage_i_scale) + ",\t" + str(float(elems[6]) * dynamic_i_scale) + ",\t\n"
elif elems[0] == "ACC":
cfg_log += elems[0] + ":\t" + \
str(float(elems[1]) * area_b_scale) + ",\t" + str(float(elems[2]) * leakage_b_scale) + ",\t" + str(float(elems[3]) * dynamic_b_scale) + ",\t" + \
str(float(elems[4]) * area_i_scale) + ",\t" + str(float(elems[5]) * leakage_i_scale) + ",\t" + str(float(elems[6]) * dynamic_i_scale) + ",\t\n"
else:
raise ValueError("Unknown parameters in pe.cfg.")
elif find_flag == True and len(elems) == 0:
find_flag = False
done_flag = False
cfg_log += entry
else:
cfg_log += entry
else:
cfg_log += entry
cfg_file.close()
cfg_file = open("./config/" + path + "/pe.cfg", "w")
cfg_file.write(cfg_log)
cfg_file.close()
cmd = "rm ./config/" + path + "/regression.cfg"
os.system(cmd)
# no need to change dram.cfg
# get dram.cfg
cmd = "cp ./config_src/memory_config/dram.cfg " + "./config/" + path
os.system(cmd)
# unary rate
str_flag = "UnaryRate"
computing = "ur"
for c in cycle_list:
for n in network_list:
for r in ram_list[1:]:
path = a + "_" + b.zfill(2) + "b_" + computing + "_" + c.zfill(3) + "c_" + n + "_" + r
print(path)
if not os.path.exists("./config/" + path):
os.system("mkdir ./config/" + path)
cmd = "cp ./config_src/network_config/" + n + "/network.csv " + "./config/" + path
os.system(cmd)
cfg_log = ""
cfg_file = open("./config/" + path + "/network.csv", "r")
first = True
for entry in cfg_file:
if first == True:
cfg_log += entry
first = False
continue
elems = entry.strip().split(',')
elems = prune(elems)
if len(elems) == 11:
elems[10] = c
for e in elems:
cfg_log += e + ",\t"
cfg_log += "\n"
cfg_file.close()
cfg_file = open("./config/" + path + "/network.csv", "w")
cfg_file.write(cfg_log)
cfg_file.close()
# get systolic.cfg
cmd = "cp ./config_src/systolic_config/" + a + "/systolic.cfg " + "./config/" + path
os.system(cmd)
cfg_log = ""
cfg_file = open("./config/" + path + "/systolic.cfg", "r")
for entry in cfg_file:
elems = entry.strip().split(':')
elems = prune(elems)
if len(elems) == 2 and elems[0] == "WordByte":
elems[1] = str(float(b) / 8)
if len(elems) == 2 and elems[0] == "Computing":
elems[1] = str_flag
if len(elems) == 2 and (elems[0] == "ZeroIfmapSram" or elems[0] == "ZeroFilterSram" or elems[0] == "ZeroOfmapSram"):
if r == "ddr3_w__spm":
elems[1] = "False"
elif r == "ddr3_wo_spm":
elems[1] = "True"
else:
raise ValueError("Unknown sram setting.")
if len(elems) == 2:
cfg_log += elems[0] + ":\t" + elems[1] + "\n"
else:
cfg_log += entry
cfg_file.close()
cfg_file = open("./config/" + path + "/systolic.cfg", "w")
cfg_file.write(cfg_log)
cfg_file.close()
# get sram.cfg
cmd = "cp ./config_src/memory_config/sram.cfg " + "./config/" + path
os.system(cmd)
cfg_log = ""
cfg_file = open("./config/" + path + "/sram.cfg", "r")
for entry in cfg_file:
elems = entry.strip().split(' ')
elems = prune(elems)
if len(elems) == 3 and elems[0] == "-technology" and elems[1] == "(u)":
if tech_node == "32nm_rvt":
elems[2] = str(0.032)
elif tech_node == "45nm_rvt":
elems[2] = str(0.045)
else:
raise ValueError("Unknown sram tech node.")
if len(elems) == 3:
cfg_log += elems[0] + " " + elems[1] + " " + elems[2] + "\n"
else:
cfg_log += entry
cfg_file.close()
cfg_file = open("./config/" + path + "/sram.cfg", "w")
cfg_file.write(cfg_log)
cfg_file.close()
# get pe.cfg
if b == "8":
cmd = "cp ./synthesis/" + tech_node + "/8bit/*.cfg " + "./config/" + path
os.system(cmd)
elif b == "16":
cmd = "cp ./synthesis/" + tech_node + "/16bit/*.cfg " + "./config/" + path
os.system(cmd)
else:
raise ValueError("Unknown word bit setting.")
# parse regression file
if a == "eyeriss":
H = np.log2(12)
W = np.log2(14)
elif a == "tpu":
H = np.log2(256)
W = np.log2(256)
else:
raise ValueError("Unknown arch.")
config = cp.ConfigParser()
config.read("./config/" + path + "/regression.cfg")
area_params = config.get(str_flag, 'Area').split(',')
area_reg = LinearRegression()
area_reg.coef_ = np.array([float(area_params[0].strip()), float(area_params[1].strip())])
area_reg.intercept_ = float(area_params[2].strip())
area_b_scale = float(area_params[3].strip()) * area_reg.predict([[H, W]])[0]
area_i_scale = float(area_params[4].strip()) * area_reg.predict([[H, W]])[0]
leakage_params = config.get(str_flag, 'Leakage').split(',')
leakage_reg = LinearRegression()
leakage_reg.coef_ = np.array([float(leakage_params[0].strip()), float(leakage_params[1].strip())])
leakage_reg.intercept_ = float(leakage_params[2].strip())
leakage_b_scale = float(leakage_params[3].strip()) * leakage_reg.predict([[H, W]])[0]
leakage_i_scale = float(leakage_params[4].strip()) * leakage_reg.predict([[H, W]])[0]
dynamic_params = config.get(str_flag, 'Dynamic').split(',')
dynamic_reg = LinearRegression()
dynamic_reg.coef_ = np.array([float(dynamic_params[0].strip()), float(dynamic_params[1].strip())])
dynamic_reg.intercept_ = float(dynamic_params[2].strip())
dynamic_b_scale = float(dynamic_params[3].strip()) * dynamic_reg.predict([[H, W]])[0]
dynamic_i_scale = float(dynamic_params[4].strip()) * dynamic_reg.predict([[H, W]])[0]
cfg_log = ""
cfg_file = open("./config/" + path + "/pe.cfg", "r")
find_flag = False
done_flag = False
for entry in cfg_file:
if done_flag == False:
elems = prune(entry.strip().split(':'))
if len(elems) == 2:
elems = elems[:1] + prune(elems[1].strip().split(','))
if len(elems) > 0 and find_flag == False:
if elems[0] == "[" + str_flag + "]":
find_flag = True
cfg_log += entry
else:
cfg_log += entry
elif find_flag == True and len(elems) > 0:
if elems[0] == "IREG":
cfg_log += elems[0] + ":\t" + \
str(float(elems[1]) * area_b_scale) + ",\t" + str(float(elems[2]) * leakage_b_scale) + ",\t" + str(float(elems[3]) * dynamic_b_scale) + ",\t" + \
str(float(elems[4]) * area_i_scale) + ",\t" + str(float(elems[5]) * leakage_i_scale) + ",\t" + str(float(elems[6]) * dynamic_i_scale) + ",\t\n"
elif elems[0] == "WREG":
cfg_log += elems[0] + ":\t" + \
str(float(elems[1]) * area_b_scale) + ",\t" + str(float(elems[2]) * leakage_b_scale) + ",\t" + str(float(elems[3]) * dynamic_b_scale) + ",\t" + \
str(float(elems[4]) * area_i_scale) + ",\t" + str(float(elems[5]) * leakage_i_scale) + ",\t" + str(float(elems[6]) * dynamic_i_scale) + ",\t\n"
elif elems[0] == "MUL":
cfg_log += elems[0] + ":\t" + \
str(float(elems[1]) * area_b_scale) + ",\t" + str(float(elems[2]) * leakage_b_scale) + ",\t" + str(float(elems[3]) * dynamic_b_scale) + ",\t" + \
str(float(elems[4]) * area_i_scale) + ",\t" + str(float(elems[5]) * leakage_i_scale) + ",\t" + str(float(elems[6]) * dynamic_i_scale) + ",\t\n"
elif elems[0] == "ACC":
cfg_log += elems[0] + ":\t" + \
str(float(elems[1]) * area_b_scale) + ",\t" + str(float(elems[2]) * leakage_b_scale) + ",\t" + str(float(elems[3]) * dynamic_b_scale) + ",\t" + \
str(float(elems[4]) * area_i_scale) + ",\t" + str(float(elems[5]) * leakage_i_scale) + ",\t" + str(float(elems[6]) * dynamic_i_scale) + ",\t\n"
else:
raise ValueError("Unknown parameters in pe.cfg.")
elif find_flag == True and len(elems) == 0:
find_flag = False
done_flag = False
cfg_log += entry
else:
cfg_log += entry
else:
cfg_log += entry
cfg_file.close()
cfg_file = open("./config/" + path + "/pe.cfg", "w")
cfg_file.write(cfg_log)
cfg_file.close()
cmd = "rm ./config/" + path + "/regression.cfg"
os.system(cmd)
# no need to change dram.cfg
# get dram.cfg
cmd = "cp ./config_src/memory_config/dram.cfg " + "./config/" + path
os.system(cmd)
# binary serial
str_flag = "BinarySerial"
computing = "bs"
for n in network_list:
for r in ram_list[:1]:
path = a + "_" + b.zfill(2) + "b_" + computing + "_" + b.zfill(3) + "c_" + n + "_" + r
print(path)
if not os.path.exists("./config/" + path):
os.system("mkdir ./config/" + path)
cmd = "cp ./config_src/network_config/" + n + "/network.csv " + "./config/" + path
os.system(cmd)
cfg_log = ""
cfg_file = open("./config/" + path + "/network.csv", "r")
first = True
for entry in cfg_file:
if first == True:
cfg_log += entry
first = False
continue
elems = entry.strip().split(',')
elems = prune(elems)
if len(elems) == 11:
elems[10] = b
for e in elems:
cfg_log += e + ",\t"
cfg_log += "\n"
cfg_file.close()
cfg_file = open("./config/" + path + "/network.csv", "w")
cfg_file.write(cfg_log)
cfg_file.close()
# get systolic.cfg
cmd = "cp ./config_src/systolic_config/" + a + "/systolic.cfg " + "./config/" + path
os.system(cmd)
cfg_log = ""
cfg_file = open("./config/" + path + "/systolic.cfg", "r")
for entry in cfg_file:
elems = entry.strip().split(':')
elems = prune(elems)
if len(elems) == 2 and elems[0] == "WordByte":
elems[1] = str(float(b) / 8)
if len(elems) == 2 and elems[0] == "Computing":
elems[1] = str_flag
if len(elems) == 2 and (elems[0] == "ZeroIfmapSram" or elems[0] == "ZeroFilterSram" or elems[0] == "ZeroOfmapSram"):
if r == "ddr3_w__spm":
elems[1] = "False"
elif r == "ddr3_wo_spm":
elems[1] = "True"
else:
raise ValueError("Unknown sram setting.")
if len(elems) == 2:
cfg_log += elems[0] + ":\t" + elems[1] + "\n"
else:
cfg_log += entry
cfg_file.close()
cfg_file = open("./config/" + path + "/systolic.cfg", "w")
cfg_file.write(cfg_log)
cfg_file.close()
# get sram.cfg
cmd = "cp ./config_src/memory_config/sram.cfg " + "./config/" + path
os.system(cmd)
cfg_log = ""
cfg_file = open("./config/" + path + "/sram.cfg", "r")
for entry in cfg_file:
elems = entry.strip().split(' ')
elems = prune(elems)
if len(elems) == 3 and elems[0] == "-technology" and elems[1] == "(u)":
if tech_node == "32nm_rvt":
elems[2] = str(0.032)
elif tech_node == "45nm_rvt":
elems[2] = str(0.045)
else:
raise ValueError("Unknown sram tech node.")
if len(elems) == 3:
cfg_log += elems[0] + " " + elems[1] + " " + elems[2] + "\n"
else:
cfg_log += entry
cfg_file.close()
cfg_file = open("./config/" + path + "/sram.cfg", "w")
cfg_file.write(cfg_log)
cfg_file.close()
# get pe.cfg
if b == "8":
cmd = "cp ./synthesis/" + tech_node + "/8bit/*.cfg " + "./config/" + path
os.system(cmd)
elif b == "16":
cmd = "cp ./synthesis/" + tech_node + "/16bit/*.cfg " + "./config/" + path
os.system(cmd)
else:
raise ValueError("Unknown word bit setting.")
# parse regression file
if a == "eyeriss":
H = np.log2(12)
W = np.log2(14)
elif a == "tpu":
H = np.log2(256)
W = np.log2(256)
else:
raise ValueError("Unknown arch.")
config = cp.ConfigParser()
config.read("./config/" + path + "/regression.cfg")
area_params = config.get(str_flag, 'Area').split(',')
area_reg = LinearRegression()
area_reg.coef_ = np.array([float(area_params[0].strip()), float(area_params[1].strip())])
area_reg.intercept_ = float(area_params[2].strip())
area_b_scale = float(area_params[3].strip()) * area_reg.predict([[H, W]])[0]
area_i_scale = float(area_params[4].strip()) * area_reg.predict([[H, W]])[0]
leakage_params = config.get(str_flag, 'Leakage').split(',')
leakage_reg = LinearRegression()
leakage_reg.coef_ = np.array([float(leakage_params[0].strip()), float(leakage_params[1].strip())])
leakage_reg.intercept_ = float(leakage_params[2].strip())
leakage_b_scale = float(leakage_params[3].strip()) * leakage_reg.predict([[H, W]])[0]
leakage_i_scale = float(leakage_params[4].strip()) * leakage_reg.predict([[H, W]])[0]
dynamic_params = config.get(str_flag, 'Dynamic').split(',')
dynamic_reg = LinearRegression()
dynamic_reg.coef_ = np.array([float(dynamic_params[0].strip()), float(dynamic_params[1].strip())])
dynamic_reg.intercept_ = float(dynamic_params[2].strip())
dynamic_b_scale = float(dynamic_params[3].strip()) * dynamic_reg.predict([[H, W]])[0]
dynamic_i_scale = float(dynamic_params[4].strip()) * dynamic_reg.predict([[H, W]])[0]
cfg_log = ""
cfg_file = open("./config/" + path + "/pe.cfg", "r")
find_flag = False
done_flag = False
for entry in cfg_file:
if done_flag == False:
elems = prune(entry.strip().split(':'))
if len(elems) == 2:
elems = elems[:1] + prune(elems[1].strip().split(','))
if len(elems) > 0 and find_flag == False:
if elems[0] == "[" + str_flag + "]":
find_flag = True
cfg_log += entry
else:
cfg_log += entry
elif find_flag == True and len(elems) > 0:
if elems[0] == "IREG":
cfg_log += elems[0] + ":\t" + \
str(float(elems[1]) * area_b_scale) + ",\t" + str(float(elems[2]) * leakage_b_scale) + ",\t" + str(float(elems[3]) * dynamic_b_scale) + ",\t" + \
str(float(elems[4]) * area_i_scale) + ",\t" + str(float(elems[5]) * leakage_i_scale) + ",\t" + str(float(elems[6]) * dynamic_i_scale) + ",\t\n"
elif elems[0] == "WREG":
cfg_log += elems[0] + ":\t" + \
str(float(elems[1]) * area_b_scale) + ",\t" + str(float(elems[2]) * leakage_b_scale) + ",\t" + str(float(elems[3]) * dynamic_b_scale) + ",\t" + \
str(float(elems[4]) * area_i_scale) + ",\t" + str(float(elems[5]) * leakage_i_scale) + ",\t" + str(float(elems[6]) * dynamic_i_scale) + ",\t\n"
elif elems[0] == "MUL":
cfg_log += elems[0] + ":\t" + \
str(float(elems[1]) * area_b_scale) + ",\t" + str(float(elems[2]) * leakage_b_scale) + ",\t" + str(float(elems[3]) * dynamic_b_scale) + ",\t" + \
str(float(elems[4]) * area_i_scale) + ",\t" + str(float(elems[5]) * leakage_i_scale) + ",\t" + str(float(elems[6]) * dynamic_i_scale) + ",\t\n"
elif elems[0] == "ACC":
cfg_log += elems[0] + ":\t" + \
str(float(elems[1]) * area_b_scale) + ",\t" + str(float(elems[2]) * leakage_b_scale) + ",\t" + str(float(elems[3]) * dynamic_b_scale) + ",\t" + \
str(float(elems[4]) * area_i_scale) + ",\t" + str(float(elems[5]) * leakage_i_scale) + ",\t" + str(float(elems[6]) * dynamic_i_scale) + ",\t\n"
else:
raise ValueError("Unknown parameters in pe.cfg.")
elif find_flag == True and len(elems) == 0:
find_flag = False
done_flag = False
cfg_log += entry
else:
cfg_log += entry
else:
cfg_log += entry
cfg_file.close()
cfg_file = open("./config/" + path + "/pe.cfg", "w")
cfg_file.write(cfg_log)
cfg_file.close()
cmd = "rm ./config/" + path + "/regression.cfg"
os.system(cmd)
# no need to change dram.cfg
# get dram.cfg
cmd = "cp ./config_src/memory_config/dram.cfg " + "./config/" + path
os.system(cmd)
# binary parallel
str_flag = "BinaryParallel"
computing = "bp"
for n in network_list:
for r in ram_list[:1]:
path = a + "_" + b.zfill(2) + "b_" + computing + "_" + "001c_" + n + "_" + r
print(path)
if not os.path.exists("./config/" + path):
os.system("mkdir ./config/" + path)
cmd = "cp ./config_src/network_config/" + n + "/network.csv " + "./config/" + path
os.system(cmd)
cfg_log = ""
cfg_file = open("./config/" + path + "/network.csv", "r")
first = True
for entry in cfg_file:
if first == True:
cfg_log += entry
first = False
continue
elems = entry.strip().split(',')
elems = prune(elems)
if len(elems) == 11:
elems[10] = "1"
for e in elems:
cfg_log += e + ",\t"
cfg_log += "\n"
cfg_file.close()
cfg_file = open("./config/" + path + "/network.csv", "w")
cfg_file.write(cfg_log)
cfg_file.close()
# get systolic.cfg
cmd = "cp ./config_src/systolic_config/" + a + "/systolic.cfg " + "./config/" + path
os.system(cmd)
cfg_log = ""
cfg_file = open("./config/" + path + "/systolic.cfg", "r")
for entry in cfg_file:
elems = entry.strip().split(':')
elems = prune(elems)
if len(elems) == 2 and elems[0] == "WordByte":
elems[1] = str(float(b) / 8)
if len(elems) == 2 and elems[0] == "Computing":
elems[1] = str_flag
if len(elems) == 2 and (elems[0] == "ZeroIfmapSram" or elems[0] == "ZeroFilterSram" or elems[0] == "ZeroOfmapSram"):
if r == "ddr3_w__spm":
elems[1] = "False"
elif r == "ddr3_wo_spm":
elems[1] = "True"
else:
raise ValueError("Unknown sram setting.")
if len(elems) == 2:
cfg_log += elems[0] + ":\t" + elems[1] + "\n"
else:
cfg_log += entry
cfg_file.close()
cfg_file = open("./config/" + path + "/systolic.cfg", "w")
cfg_file.write(cfg_log)
cfg_file.close()
# get sram.cfg
cmd = "cp ./config_src/memory_config/sram.cfg " + "./config/" + path
os.system(cmd)
cfg_log = ""
cfg_file = open("./config/" + path + "/sram.cfg", "r")
for entry in cfg_file:
elems = entry.strip().split(' ')
elems = prune(elems)
if len(elems) == 3 and elems[0] == "-technology" and elems[1] == "(u)":
if tech_node == "32nm_rvt":
elems[2] = str(0.032)
elif tech_node == "45nm_rvt":
elems[2] = str(0.045)
else:
raise ValueError("Unknown sram tech node.")
if len(elems) == 3:
cfg_log += elems[0] + " " + elems[1] + " " + elems[2] + "\n"
else:
cfg_log += entry
cfg_file.close()
cfg_file = open("./config/" + path + "/sram.cfg", "w")
cfg_file.write(cfg_log)
cfg_file.close()
# get pe.cfg
if b == "8":
cmd = "cp ./synthesis/" + tech_node + "/8bit/*.cfg " + "./config/" + path
os.system(cmd)
elif b == "16":
cmd = "cp ./synthesis/" + tech_node + "/16bit/*.cfg " + "./config/" + path
os.system(cmd)
else:
raise ValueError("Unknown word bit setting.")
# parse regression file
if a == "eyeriss":
H = np.log2(12)
W = np.log2(14)
elif a == "tpu":
H = np.log2(256)
W = np.log2(256)
else:
raise ValueError("Unknown arch.")
config = cp.ConfigParser()
config.read("./config/" + path + "/regression.cfg")
area_params = config.get(str_flag, 'Area').split(',')
area_reg = LinearRegression()
area_reg.coef_ = np.array([float(area_params[0].strip()), float(area_params[1].strip())])
area_reg.intercept_ = float(area_params[2].strip())
area_b_scale = float(area_params[3].strip()) * area_reg.predict([[H, W]])[0]
area_i_scale = float(area_params[4].strip()) * area_reg.predict([[H, W]])[0]
leakage_params = config.get(str_flag, 'Leakage').split(',')
leakage_reg = LinearRegression()
leakage_reg.coef_ = np.array([float(leakage_params[0].strip()), float(leakage_params[1].strip())])
leakage_reg.intercept_ = float(leakage_params[2].strip())
leakage_b_scale = float(leakage_params[3].strip()) * leakage_reg.predict([[H, W]])[0]
leakage_i_scale = float(leakage_params[4].strip()) * leakage_reg.predict([[H, W]])[0]
dynamic_params = config.get(str_flag, 'Dynamic').split(',')
dynamic_reg = LinearRegression()
dynamic_reg.coef_ = np.array([float(dynamic_params[0].strip()), float(dynamic_params[1].strip())])
dynamic_reg.intercept_ = float(dynamic_params[2].strip())
dynamic_b_scale = float(dynamic_params[3].strip()) * dynamic_reg.predict([[H, W]])[0]
dynamic_i_scale = float(dynamic_params[4].strip()) * dynamic_reg.predict([[H, W]])[0]
cfg_log = ""
cfg_file = open("./config/" + path + "/pe.cfg", "r")
find_flag = False
done_flag = False
for entry in cfg_file:
if done_flag == False:
elems = prune(entry.strip().split(':'))
if len(elems) == 2:
elems = elems[:1] + prune(elems[1].strip().split(','))
if len(elems) > 0 and find_flag == False:
if elems[0] == "[" + str_flag + "]":
find_flag = True
cfg_log += entry
else:
cfg_log += entry
elif find_flag == True and len(elems) > 0:
if elems[0] == "IREG":
cfg_log += elems[0] + ":\t" + \
str(float(elems[1]) * area_b_scale) + ",\t" + str(float(elems[2]) * leakage_b_scale) + ",\t" + str(float(elems[3]) * dynamic_b_scale) + ",\t" + \
str(float(elems[4]) * area_i_scale) + ",\t" + str(float(elems[5]) * leakage_i_scale) + ",\t" + str(float(elems[6]) * dynamic_i_scale) + ",\t\n"
elif elems[0] == "WREG":
cfg_log += elems[0] + ":\t" + \
str(float(elems[1]) * area_b_scale) + ",\t" + str(float(elems[2]) * leakage_b_scale) + ",\t" + str(float(elems[3]) * dynamic_b_scale) + ",\t" + \
str(float(elems[4]) * area_i_scale) + ",\t" + str(float(elems[5]) * leakage_i_scale) + ",\t" + str(float(elems[6]) * dynamic_i_scale) + ",\t\n"
elif elems[0] == "MUL":
cfg_log += elems[0] + ":\t" + \
str(float(elems[1]) * area_b_scale) + ",\t" + str(float(elems[2]) * leakage_b_scale) + ",\t" + str(float(elems[3]) * dynamic_b_scale) + ",\t" + \
str(float(elems[4]) * area_i_scale) + ",\t" + str(float(elems[5]) * leakage_i_scale) + ",\t" + str(float(elems[6]) * dynamic_i_scale) + ",\t\n"
elif elems[0] == "ACC":
cfg_log += elems[0] + ":\t" + \
str(float(elems[1]) * area_b_scale) + ",\t" + str(float(elems[2]) * leakage_b_scale) + ",\t" + str(float(elems[3]) * dynamic_b_scale) + ",\t" + \
str(float(elems[4]) * area_i_scale) + ",\t" + str(float(elems[5]) * leakage_i_scale) + ",\t" + str(float(elems[6]) * dynamic_i_scale) + ",\t\n"
else:
raise ValueError("Unknown parameters in pe.cfg.")
elif find_flag == True and len(elems) == 0:
find_flag = False
done_flag = False
cfg_log += entry
else:
cfg_log += entry
else:
cfg_log += entry
cfg_file.close()
cfg_file = open("./config/" + path + "/pe.cfg", "w")
cfg_file.write(cfg_log)
cfg_file.close()
cmd = "rm ./config/" + path + "/regression.cfg"
os.system(cmd)
# no need to change dram.cfg
# get dram.cfg
cmd = "cp ./config_src/memory_config/dram.cfg " + "./config/" + path
os.system(cmd)
def prune(input_list):
l = []
for e in input_list:
e = e.strip() # remove the leading and trailing characters, here space
if e != '' and e != ' ':
l.append(e)
return l
if __name__ == '__main__':
gen_run_config(tech_node="32nm_rvt")
# gen_run_config(tech_node="45nm_rvt")