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import argparse
import os
import yaml
global_print_hparams = True
hparams = {}
class Args:
def __init__(self, **kwargs):
for k, v in kwargs.items():
self.__setattr__(k, v)
def override_config(old_config: dict, new_config: dict):
for k, v in new_config.items():
if isinstance(v, dict) and k in old_config:
override_config(old_config[k], new_config[k])
else:
old_config[k] = v
def set_hparams(config='', exp_name='', hparams_str='', print_hparams=True, global_hparams=True):
if config == '':
parser = argparse.ArgumentParser(description='neural music')
parser.add_argument('--config', type=str, default='',
help='location of the data corpus')
parser.add_argument('--exp_name', type=str, default='', help='exp_name')
parser.add_argument('--hparams', type=str, default='',
help='location of the data corpus')
parser.add_argument('--inference', action='store_true', help='inference')
parser.add_argument('--validate', action='store_true', help='validate')
parser.add_argument('--reset', action='store_true', help='reset hparams')
parser.add_argument('--debug', action='store_true', help='debug')
args, unknown = parser.parse_known_args()
else:
args = Args(config=config, exp_name=exp_name, hparams=hparams_str,
infer=False, validate=False, reset=False, debug=False)
args_work_dir = ''
if args.exp_name != '':
args.work_dir = args.exp_name
args_work_dir = f'checkpoints/{args.work_dir}'
config_chains = []
loaded_config = set()
def load_config(config_fn): # deep first
with open(config_fn) as f:
hparams_ = yaml.safe_load(f)
loaded_config.add(config_fn)
if 'base_config' in hparams_:
ret_hparams = {}
if not isinstance(hparams_['base_config'], list):
hparams_['base_config'] = [hparams_['base_config']]
for c in hparams_['base_config']:
if c not in loaded_config:
if c.startswith('.'):
c = f'{os.path.dirname(config_fn)}/{c}'
c = os.path.normpath(c)
override_config(ret_hparams, load_config(c))
override_config(ret_hparams, hparams_)
else:
ret_hparams = hparams_
config_chains.append(config_fn)
return ret_hparams
global hparams
assert args.config != '' or args_work_dir != ''
saved_hparams = {}
if args_work_dir != 'checkpoints/':
ckpt_config_path = f'{args_work_dir}/config.yaml'
if os.path.exists(ckpt_config_path):
try:
with open(ckpt_config_path) as f:
saved_hparams.update(yaml.safe_load(f))
except:
pass
if args.config == '':
args.config = ckpt_config_path
hparams_ = {}
hparams_.update(load_config(args.config))
if not args.reset:
hparams_.update(saved_hparams)
hparams_['work_dir'] = args_work_dir
if args.hparams != "":
for new_hparam in args.hparams.split(","):
k, v = new_hparam.split("=")
if v in ['True', 'False'] or type(hparams_[k]) == bool:
hparams_[k] = eval(v)
else:
hparams_[k] = type(hparams_[k])(v)
if args_work_dir != '' and (not os.path.exists(ckpt_config_path) or args.reset) and not args.infer:
os.makedirs(hparams_['work_dir'], exist_ok=True)
with open(ckpt_config_path, 'w') as f:
yaml.safe_dump(hparams_, f)
hparams_['inference'] = args.infer
hparams_['debug'] = args.debug
hparams_['validate'] = args.validate
global global_print_hparams
if global_hparams:
hparams.clear()
hparams.update(hparams_)
if print_hparams and global_print_hparams and global_hparams:
print('| Hparams chains: ', config_chains)
print('| Hparams: ')
for i, (k, v) in enumerate(sorted(hparams_.items())):
print(f"\033[;33;m{k}\033[0m: {v}, ", end="\n" if i % 5 == 4 else "")
print("")
global_print_hparams = False
# print(hparams_.keys())
if hparams.get('exp_name') is None:
hparams['exp_name'] = args.exp_name
if hparams_.get('exp_name') is None:
hparams_['exp_name'] = args.exp_name
return hparams_
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