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Copy pathgenerate_binary.py
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155 lines (132 loc) · 4.98 KB
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from __future__ import print_function
import os
import struct
import sys
import argparse
import shutil
import errno
import NeuroZERO
param_filename = "_param.h"
skeleton_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'skeleton/')
extended_MAIN_dir = os.path.join(skeleton_dir, 'extended_MAIN/')
extended_ACC_dir = os.path.join(skeleton_dir, 'extended_ACC/')
latent_train_ACC_dir = os.path.join(skeleton_dir, 'latent_train_ACC/')
build_command = "eclipse -noSplash -data \"./\" -application com.ti.ccstudio.apps.projectBuild -ccs.configuration Debug -ccs.autoImport -ccs.projects "
def generate_param(network_name):
p_f = open(network_name+param_filename, 'w')
# layers
f = open(NeuroZERO.layer_base_name + network_name, 'r')
layer_num = struct.unpack('i', f.read(4))[0]
p_f.write('#define MAX_NUM_OF_LAYER_DIM 10\n\n')
p_f.write('uint16_t ' + network_name + '_layer[][MAX_NUM_OF_LAYER_DIM] = {\n')
for l in range(layer_num):
p_f.write('\t{ ')
items = []
while (1):
item = struct.unpack('i', f.read(4))[0]
items.append(item)
if item == 0:
break
if len(items) >= 2 and items[1] != 0:
items[1], items[0] = items[0], items[1]
if len(items) >= 4:
del items[-1]
items.append(1)
items.append(1)
items.append(0)
for i in range(len(items)):
p_f.write(str(items[i]) + ', ')
p_f.write('},\n')
p_f.write('};\n\n')
f.close()
# weight
p_f.write("#pragma PERSISTENT(" + network_name + "_weights)\n")
p_f.write("_q " + network_name + "_weights[] = {\n\t")
f = open(NeuroZERO.weight_base_name + network_name + '_q', 'r')
weight_len = struct.unpack('i', f.read(4))[0]
for i in range(0, weight_len):
weight = struct.unpack('h', f.read(2))[0]
p_f.write(str(weight))
p_f.write(", ")
if (i+1) % 20 == 0:
p_f.write('\n\t')
f.close()
p_f.write("\n\t};\n")
# bias
p_f.write("\n#pragma PERSISTENT(" + network_name + "_biases)\n")
p_f.write("_q " + network_name + "_biases[] = {\n\t")
f = open(NeuroZERO.bias_base_name + network_name + '_q', 'r')
bias_len = struct.unpack('i', f.read(4))[0]
for i in range(0, bias_len):
bias = struct.unpack('h', f.read(2))[0]
p_f.write(str(bias))
p_f.write(", ")
if (i+1) % 20 == 0:
p_f.write('\n\t')
f.close()
p_f.write("\n\t};\n")
p_f.close()
return network_name+param_filename
def copyAll(src, dst):
try:
shutil.copytree(src, dst)
except OSError as exc: # python >2.5
if exc.errno == errno.ENOTDIR:
shutil.copy(src, dst)
else:
raise
def main(args):
if args.mode == 'ext':
if os.path.exists('.metadata'):
shutil.rmtree('.metadata')
# main MCU
MAIN_src_dir = extended_MAIN_dir
MAIN_target_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), os.path.basename(os.path.normpath(MAIN_src_dir)))
if not os.path.exists(MAIN_target_dir):
copyAll(MAIN_src_dir, MAIN_target_dir)
print (MAIN_target_dir + ' created')
filename = generate_param(NeuroZERO.baseline_network_name)
if not os.path.exists(os.path.join(MAIN_target_dir, filename)):
copyAll(filename, MAIN_target_dir)
os.remove(filename)
print (filename + ' generated and copied')
filename = generate_param(NeuroZERO.extended_network_name)
if not os.path.exists(os.path.join(MAIN_target_dir, filename)):
copyAll(filename, MAIN_target_dir)
os.remove(filename)
print (filename + ' generated and copied')
print ('start compiling main MCU')
print (build_command + os.path.basename(os.path.normpath(MAIN_target_dir)))
os.system(build_command + os.path.basename(os.path.normpath(MAIN_target_dir)))
# accelerator
ACC_src_dir = extended_ACC_dir
ACC_target_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), os.path.basename(os.path.normpath(ACC_src_dir)))
if not os.path.exists(ACC_target_dir):
copyAll(ACC_src_dir, ACC_target_dir)
print (ACC_target_dir + ' created')
filename = generate_param(NeuroZERO.extended_network_name)
if not os.path.exists(os.path.join(ACC_target_dir, filename)):
copyAll(filename, ACC_target_dir)
os.remove(filename)
print (filename + ' generated and copied')
print ('start compiling accelerator')
print (build_command + os.path.basename(os.path.normpath(ACC_target_dir)))
os.system(build_command + os.path.basename(os.path.normpath(ACC_target_dir)))
if args.mode == 'latent':
if os.path.exists('.metadata'):
shutil.rmtree('.metadata')
# accelerator
ACC_src_dir = latent_train_ACC_dir
ACC_target_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), os.path.basename(os.path.normpath(ACC_src_dir)))
if not os.path.exists(ACC_target_dir):
copyAll(ACC_src_dir, ACC_target_dir)
print (ACC_target_dir + ' created')
print ('start compiling accelerator')
print (build_command + os.path.basename(os.path.normpath(ACC_target_dir)))
os.system(build_command + os.path.basename(os.path.normpath(ACC_target_dir)))
def parse_arguments(argv):
parser = argparse.ArgumentParser()
parser.add_argument('--mode', type=str, help='mode', default='s')
return parser.parse_args(argv)
if __name__ == '__main__':
main(parse_arguments(sys.argv[1:]))