Lines Matching full:setup

57         'setup' : 'setup.yml',
67     parser.add_argument('setup', type=str, help='setup yaml file')
80 with open(args.setup, 'r') as f:
81     setup = yaml.load(f.read(), yaml.FullLoader)  variable
87     if 'sparsification' in setup['lpcnet']['config']:
88         for sp_job in setup['lpcnet']['config']['sparsification'].values():
91     setup['training']['lr'] = 1.0e-5
92     setup['training']['lr_decay_factor'] = 0.0
93     setup['training']['epochs'] = 1
102     setup_name = 'setup.yml'
107 if not 'model' in setup['lpcnet']:
108     print(f'warning: did not find model entry in setup, using default lpcnet')
111     model_name = setup['lpcnet']['model']
130 # add repo info to setup
135         setup['repo'] = dict()
143         setup['repo']['hash'] = hash
144         setup['repo']['urls'] = urls
145         setup['repo']['dirty'] = is_dirty
149 # dump setup
151     yaml.dump(setup, f)
162 batch_size      = setup['training']['batch_size']
163 epochs          = setup['training']['epochs']
164 lr              = setup['training']['lr']
165 lr_decay_factor = setup['training']['lr_decay_factor']
168 lpcnet_config = setup['lpcnet']['config']
169 data = LPCNetDataset(   setup['dataset'],
173                         frames_per_sample=setup['training']['frames_per_sample'],
179 if 'validation_dataset' in setup:
180     validation_data = LPCNetDataset(   setup['validation_dataset'],
184                         frames_per_sample=setup['training']['frames_per_sample'],
196 model = model_dict[model_name](setup['lpcnet']['config'])
227     'setup'         : setup,