def setup():
"""Parse command line arguments, load model parameters, load configurations
and setup environment."""
# Parse the command line arguments
args = parse_arguments()
# Load parameters
params = load_yaml(args.params)
# Load training configurations
config = load_yaml(args.config)
update_not_none(config, vars(args))
# Set unspecified schedule steps to default values
for target in (config['learning_rate_schedule'], config['slope_schedule']):
if target['start'] is None:
target['start'] = 0
if target['end'] is None:
target['end'] = config['steps']
# Make sure result directory exists
make_sure_path_exists(config['result_dir'])
# Setup GPUs
os.environ["CUDA_VISIBLE_DEVICES"] = config['gpu']
return params, config
def setup():
"""Parse command line arguments, load model parameters, load configurations
and setup environment."""
# Parse the command line arguments
args = parse_arguments()
# Load parameters
params = load_yaml(args.params)
# Load training configurations
config = load_yaml(args.config)
update_not_none(config, vars(args))
# Set unspecified schedule steps to default values
for target in (config['learning_rate_schedule'], config['slope_schedule']):
if target['start'] is None:
target['start'] = 0
if target['end'] is None:
target['end'] = config['steps']
# Make sure result directory exists
make_sure_path_exists(config['result_dir'])
# Setup GPUs
os.environ["CUDA_VISIBLE_DEVICES"] = config['gpu']
return params, config
def setup():
"""Parse command line arguments, load model parameters, load configurations,
setup environment and setup loggers."""
# Parse the command line arguments
args = parse_arguments()
# Load parameters
params = load_yaml(
args.params) # greg: args.params es el nombre del parameters_file yaml
if params.get(
'is_accompaniment') and params.get('condition_track_idx') is None:
raise TypeError("`condition_track_idx` cannot be None type in "
"accompaniment mode.")
# Load configurations
config = load_yaml(args.config)
update_not_none(config, vars(args))
# Set unspecified schedule steps to default values
for target in (config['learning_rate_schedule'], config['slope_schedule']):
if target['start'] is None:
target['start'] = 0
if target['end'] is None:
target['end'] = config['steps']
# Setup experiment directories and update them to configuration dictionary
setup_dirs(config)
# Setup loggers
del logging.getLogger('tensorflow').handlers[0]
setup_loggers(config['log_dir'])
# Setup GPUs
os.environ["CUDA_VISIBLE_DEVICES"] = config['gpu']
# Backup source code
backup_src(config['src_dir'])
return params, config
def setup():
"""Parse command line arguments, load model parameters, load configurations,
setup environment and setup loggers."""
# Parse the command line arguments
args = parse_arguments()
# Load parameters
params = load_yaml(args.params)
if params['is_accompaniment'] and params['condition_track_idx'] is None:
raise TypeError("`condition_track_idx` cannot be None type in "
"accompaniment mode.")
# Load configurations
config = load_yaml(args.config)
update_not_none(config, vars(args))
# Set unspecified schedule steps to default values
for target in (config['learning_rate_schedule'], config['slope_schedule']):
if target['start'] is None:
target['start'] = 0
if target['end'] is None:
target['end'] = config['steps']
# Setup experiment directories and update them to configuration dictionary
setup_dirs(config)
# Setup loggers
del logging.getLogger('tensorflow').handlers[0]
setup_loggers(config['log_dir'])
# Setup GPUs
os.environ["CUDA_VISIBLE_DEVICES"] = config['gpu']
# Backup source code
backup_src(config['src_dir'])
return params, config
