x = txs[:inp].reshape((-1, 28, 28, 1))
hook = UserHook()
with chainer.using_config('train', False):
with hook:
p = model(x)
softmax_a = F.softmax(p)
ans = np.argmax(softmax_a.data, axis=1)
#idx = int(ans.data)
print("pr:answer number =", ans)
if __name__ == '__main__':
args = argparse.ArgumentParser()
args.add_argument('-i', '--images', type=int, default=20)
args.add_argument('-g', '--gpu', type=int, default=0)
args = args.parse_args()
# For GPU
device = chainer.get_device(args.gpu)
assert '@cupy' in str(device), "Supports Only GPU"
print('GPU device is ', device)
device.use()
model.to_device(device) # load model to GPU
txs = cupy.asarray(txs) # load data to GPU
var.n = -1 # No fault injection for Normal System case
infer(args.images, model, txs, tts)
copy_tree('dnn_params', 'original_data2')
args.add_argument('-f', '--faults', type=int, default=784, dest='faults')
args.add_argument('-F', '--Faults', type=int, nargs='+')
args = args.parse_args()
faultNo_list = args.Faults if args.Faults is not None else range(args.faults)
data_P = args.images
print("Run on Faults as", faultNo_list)
from mylist_block import mylist
d = mylist()
#print(d)
#for k in range(784): # k:fault pattern No.
for k in faultNo_list:
var.n = k
# if(k!=0):
# replace_userfunc(k)
print("mylist=", d[k], k)
# for i in range(0,2): # i:number of feeding image
# if(i!=0):
# replace_sample(i)
# print("input picture no=" ,i)
# subprocess.run("python3 sample.py",shell =True)
sample2.infer(data_P)
print('sample done')
# rename = "list" + str(k)+"_no-"+str(i)
rename = "list%d" % (k)
# rename2 = "cp -fr dnn_params "+ rename