def load_from_checkpoint(cfg):
filename = cfg_file(cfg)
if not os.path.isfile(filename):
raise Exception(
f'Could not load saved parameters for experiment {cfg.experiment}')
with open(filename, 'r') as json_file:
json_params = json.load(json_file)
log.warning('Loading existing experiment configuration from %s',
filename)
loaded_cfg = AttrDict(json_params)
# override the parameters in config file with values passed from command line
for key, value in cfg.cli_args.items():
if key in loaded_cfg and loaded_cfg[key] != value:
log.debug(
'Overriding arg %r with value %r passed from command line',
key, value)
loaded_cfg[key] = value
# incorporate extra CLI parameters that were not present in JSON file
for key, value in vars(cfg).items():
if key not in loaded_cfg:
log.debug(
'Adding new argument %r=%r that is not in the saved config file!',
key, value)
loaded_cfg[key] = value
return loaded_cfg
def maybe_load_from_checkpoint(cfg):
filename = cfg_file(cfg)
if not os.path.isfile(filename):
log.warning(
'Saved parameter configuration for experiment %s not found!',
cfg.experiment)
log.warning('Starting experiment from scratch!')
return AttrDict(vars(cfg))
return load_from_checkpoint(cfg)
def _save_cfg(self):
cfg_dict = self._cfg_dict()
with open(cfg_file(self.cfg), 'w') as json_file:
json.dump(cfg_dict, json_file, indent=2)