log_file = open(args.log_file, 'w')
-print('Logging into ' + args.log_file)
+print(Fore.RED + 'Logging into ' + args.log_file + Style.RESET_ALL)
def log_string(s):
s = Fore.GREEN + time.ctime() + Style.RESET_ALL + ' ' + \
model.cuda()
criterion.cuda()
- optimizer, bs = optim.SGD(model.parameters(), lr = 1e-2), 100
+ optimizer, bs = optim.Adam(model.parameters(), lr = 1e-1), 100
for k in range(0, args.nb_epochs):
acc_loss = 0.0
######################################################################
-# for problem_number in range(1, 24):
-
-for problem_number in [ 3 ]:
+for problem_number in range(1, 24):
train_input, train_target = generate_set(problem_number, args.nb_train_samples)
test_input, test_target = generate_set(problem_number, args.nb_test_samples)