When python main.py -g leakgan, there have a BUG and the data/shi.txt have a encoding BUG

[cyzLoveDream]

Traceback (most recent call last):
File "main.py", line 85, in
parse_cmd(sys.argv[1:])
File "main.py", line 67, in parse_cmd
gan = set_gan(opt_arg['-g'])
File "main.py", line 26, in set_gan
gan = Gan()
File "E:\all_code\aspectLevel\Texygen\models\leakgan\Leakgan.py", line 64, in init
self.sequence_length = FLAGS.length
File "D:\Anacond\lib\site-packages\tensorflow\python\platform\flags.py", line 84, in getattr
wrapped(_sys.argv)
File "D:\Anacond\lib\site-packages\absl\flags_flagvalues.py", line 630, in call
name, value, suggestions=suggestions)
absl.flags._exceptions.UnrecognizedFlagError: Unknown command line flag 'g'

[cyzLoveDream]

Traceback (most recent call last):
File "main.py", line 85, in
parse_cmd(sys.argv[1:])
File "main.py", line 73, in parse_cmd
gan_func(opt_arg['-d'])
File "E:\all_code\aspectLevel\Texygen\models\textGan_MMD\Textgan.py", line 328, in train_real
wi_dict, iw_dict = self.init_real_trainng(data_loc)
File "E:\all_code\aspectLevel\Texygen\models\textGan_MMD\Textgan.py", line 290, in init_real_trainng
self.sequence_length, self.vocab_size = text_precess(data_loc)
File "E:\all_code\aspectLevel\Texygen\utils\text_process.py", line 75, in text_precess
train_tokens = get_tokenlized(train_text_loc)
File "E:\all_code\aspectLevel\Texygen\utils\text_process.py", line 50, in get_tokenlized
for text in raw:
UnicodeDecodeError: 'gbk' codec can't decode byte 0xa6 in position 2: illegal multibyte sequence

[Yaoming95]

please refer to #14

[PualTorresZhang]

Hello @cyzLoveDream ,Did you solved the first question? I met the same problem. If you did, please tell me.

[ck37]

I also ran into this problem, which seems to be due to tensorflow parsing the command line flags within the leakgan code.

I solved it by modifying main.py to run leakgan by default, so that I wouldn't have to specify the -g leakgan on the command line:

        if not '-g' in opt_arg.keys():
            #print('unspecified GAN type, use MLE training only...')
            #gan = set_gan('mle')
            print('unspecified GAN type, use leak GAN training only...')
            gan = set_gan('leakgan')

[PualTorresZhang]

This is really helpful thank you!