diff options
Diffstat (limited to 'dnn/torch/osce/train_vocoder.py')
| -rw-r--r-- | dnn/torch/osce/train_vocoder.py | 22 |
1 files changed, 12 insertions, 10 deletions
diff --git a/dnn/torch/osce/train_vocoder.py b/dnn/torch/osce/train_vocoder.py index 3572e962..ce6ef48c 100644 --- a/dnn/torch/osce/train_vocoder.py +++ b/dnn/torch/osce/train_vocoder.py @@ -126,16 +126,6 @@ if has_git: with open(os.path.join(args.output, setup_name), 'w') as f: yaml.dump(setup, f) -ref = None -# prepare inference test if wanted -inference_test = False -if type(args.test_features) != type(None): - test_features = load_lpcnet_features(args.test_features) - features = test_features['features'] - periods = test_features['periods'] - inference_folder = os.path.join(args.output, 'inference_test') - os.makedirs(inference_folder, exist_ok=True) - inference_test = True # training parameters @@ -161,6 +151,18 @@ if 'validation_dataset' in setup: else: run_validation = False +ref = None +# prepare inference test if wanted +inference_test = False +if type(args.test_features) != type(None): + test_features = load_lpcnet_features(args.test_features, version=data.version) + features = test_features['features'] + periods = test_features['periods'] + inference_folder = os.path.join(args.output, 'inference_test') + os.makedirs(inference_folder, exist_ok=True) + inference_test = True + + # create model model = model_dict[model_name](*setup['model']['args'], **setup['model']['kwargs']) |