print(f'Test - Input Eval: {print_eval_xs}')
print(f'Test - Out Eval: {print_eval_outs}')
path_eval = Path(hp.logdir, f'test_{test_epoch}', 'test_eval.txt')
if not path_eval.exists():
print_to_file(path_eval, print_eval, (print_eval_xs, print_eval_outs))
runner.writer.close()
if __name__ == '__main__':
parser = ArgumentParser()
parser.add_argument('--test', type=int, default=-1)
args = hp.parse_argument(parser)
test_epoch = args.test
if test_epoch == -1:
# check overwrite or not
if list(Path(hp.logdir).glob('events.out.tfevents.*')):
while True:
s = input(
f'"{hp.logdir}" already has tfevents. continue? (y/n)\n')
if s.lower() == 'y':
shutil.rmtree(hp.logdir)
os.makedirs(hp.logdir)
break
elif s.lower() == 'n':
exit()
main(test_epoch)
if __name__ == '__main__':
# determined by sys argv
parser = ArgumentParser()
parser.add_argument('room_create')
parser.add_argument('kind_data',
choices=('TRAIN', 'train',
'SEEN', 'seen',
'UNSEEN', 'unseen',
),
)
parser.add_argument('-t', dest='target_folder', default='')
parser.add_argument('--from', type=int, default=-1,
dest='from_idx')
args = hp.parse_argument(parser, print_argument=False)
use_dirac = hp.feature == 'DirAC'
n_cuda_dev = len(hp.device)
is_train = args.kind_data.lower() == 'train'
# Paths
path_speech = hp.dict_path['speech_train' if is_train else 'speech_test']
if args.target_folder:
path_result = hp.path_feature / args.target_folder
if not is_train:
path_result = path_result / 'TEST'
path_result = path_result / args.kind_data.upper()
else:
path_result = hp.dict_path[f'feature_{args.kind_data.lower()}']
os.makedirs(path_result, exist_ok=True)
