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#!/usr/bin/env python
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import argparse
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import os.path as osp
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from collections.abc import Mapping
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import yaml
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def _chain_maps(*maps):
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chained = dict()
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keys = set().union(*maps)
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for key in keys:
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vals = [m[key] for m in maps if key in m]
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if isinstance(vals[0], Mapping):
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chained[key] = _chain_maps(*vals)
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else:
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chained[key] = vals[0]
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return chained
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def read_config(config_path):
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with open(config_path, 'r', encoding='utf-8') as f:
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cfg = yaml.safe_load(f)
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return cfg or {}
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def parse_configs(cfg_path, inherit=True):
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if inherit:
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cfgs = []
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cfgs.append(read_config(cfg_path))
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while cfgs[-1].get('_base_'):
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base_path = cfgs[-1].pop('_base_')
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curr_dir = osp.dirname(cfg_path)
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cfgs.append(
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read_config(osp.normpath(osp.join(curr_dir, base_path))))
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return _chain_maps(*cfgs)
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else:
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return read_config(cfg_path)
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def _cfg2args(cfg, parser, prefix=''):
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node_keys = set()
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for k, v in cfg.items():
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opt = prefix + k
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if isinstance(v, list):
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if len(v) == 0:
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parser.add_argument(
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'--' + opt, type=object, nargs='*', default=v)
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else:
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# Only apply to homogeneous lists
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if isinstance(v[0], CfgNode):
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node_keys.add(opt)
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parser.add_argument(
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'--' + opt, type=type(v[0]), nargs='*', default=v)
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elif isinstance(v, dict):
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# Recursively parse a dict
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_, new_node_keys = _cfg2args(v, parser, opt + '.')
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node_keys.update(new_node_keys)
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elif isinstance(v, CfgNode):
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node_keys.add(opt)
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_, new_node_keys = _cfg2args(v.to_dict(), parser, opt + '.')
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node_keys.update(new_node_keys)
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elif isinstance(v, bool):
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parser.add_argument('--' + opt, action='store_true', default=v)
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else:
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parser.add_argument('--' + opt, type=type(v), default=v)
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return parser, node_keys
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def _args2cfg(cfg, args, node_keys):
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args = vars(args)
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for k, v in args.items():
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pos = k.find('.')
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if pos != -1:
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# Iteratively parse a dict
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dict_ = cfg
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while pos != -1:
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dict_.setdefault(k[:pos], {})
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dict_ = dict_[k[:pos]]
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k = k[pos + 1:]
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pos = k.find('.')
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dict_[k] = v
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else:
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cfg[k] = v
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for k in node_keys:
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pos = k.find('.')
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if pos != -1:
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# Iteratively parse a dict
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dict_ = cfg
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while pos != -1:
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dict_.setdefault(k[:pos], {})
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dict_ = dict_[k[:pos]]
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k = k[pos + 1:]
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pos = k.find('.')
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v = dict_[k]
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dict_[k] = [CfgNode(v_) for v_ in v] if isinstance(
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v, list) else CfgNode(v)
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else:
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v = cfg[k]
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cfg[k] = [CfgNode(v_) for v_ in v] if isinstance(
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v, list) else CfgNode(v)
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return cfg
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def parse_args(*args, **kwargs):
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cfg_parser = argparse.ArgumentParser(add_help=False)
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cfg_parser.add_argument('--config', type=str, default='')
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cfg_parser.add_argument('--inherit_off', action='store_true')
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cfg_args = cfg_parser.parse_known_args()[0]
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cfg_path = cfg_args.config
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inherit_on = not cfg_args.inherit_off
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# Main parser
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parser = argparse.ArgumentParser(
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conflict_handler='resolve', parents=[cfg_parser])
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# Global settings
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parser.add_argument('cmd', choices=['train', 'eval'])
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parser.add_argument('task', choices=['cd', 'clas', 'det', 'res', 'seg'])
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# Data
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parser.add_argument('--datasets', type=dict, default={})
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parser.add_argument('--transforms', type=dict, default={})
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parser.add_argument('--download_on', action='store_true')
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parser.add_argument('--download_url', type=str, default='')
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parser.add_argument('--download_path', type=str, default='./')
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# Optimizer
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parser.add_argument('--optimizer', type=dict, default={})
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# Training related
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parser.add_argument('--num_epochs', type=int, default=100)
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parser.add_argument('--train_batch_size', type=int, default=8)
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parser.add_argument('--save_interval_epochs', type=int, default=1)
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parser.add_argument('--log_interval_steps', type=int, default=1)
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parser.add_argument('--save_dir', default='../exp/')
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parser.add_argument('--learning_rate', type=float, default=0.01)
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parser.add_argument('--early_stop', action='store_true')
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parser.add_argument('--early_stop_patience', type=int, default=5)
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parser.add_argument('--use_vdl', action='store_true')
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parser.add_argument('--resume_checkpoint', type=str)
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parser.add_argument('--train', type=dict, default={})
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# Loss
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parser.add_argument('--losses', type=dict, nargs='+', default={})
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# Model
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parser.add_argument('--model', type=dict, default={})
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if osp.exists(cfg_path):
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cfg = parse_configs(cfg_path, inherit_on)
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parser, node_keys = _cfg2args(cfg, parser, '')
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node_keys = sorted(node_keys, reverse=True)
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args = parser.parse_args(*args, **kwargs)
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return _args2cfg(dict(), args, node_keys)
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elif cfg_path != '':
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raise FileNotFoundError
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else:
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args = parser.parse_args()
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return _args2cfg(dict(), args, set())
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class _CfgNodeMeta(yaml.YAMLObjectMetaclass):
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def __call__(cls, obj):
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if isinstance(obj, CfgNode):
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return obj
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return super(_CfgNodeMeta, cls).__call__(obj)
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class CfgNode(yaml.YAMLObject, metaclass=_CfgNodeMeta):
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yaml_tag = u'!Node'
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yaml_loader = yaml.SafeLoader
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# By default use a lexical scope
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ctx = globals()
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def __init__(self, dict_):
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super().__init__()
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self.type = dict_['type']
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self.args = dict_.get('args', [])
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self.module = dict_.get('module', '')
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@classmethod
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def set_context(cls, ctx):
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# TODO: Implement dynamic scope with inspect.stack()
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old_ctx = cls.ctx
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cls.ctx = ctx
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return old_ctx
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def build_object(self, mod=None):
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if mod is None:
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mod = self._get_module(self.module)
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cls = getattr(mod, self.type)
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if isinstance(self.args, list):
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args = build_objects(self.args)
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obj = cls(*args)
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elif isinstance(self.args, dict):
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args = build_objects(self.args)
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obj = cls(**args)
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else:
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raise NotImplementedError
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return obj
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def _get_module(self, s):
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mod = None
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while s:
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idx = s.find('.')
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if idx == -1:
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next_ = s
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s = ''
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else:
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next_ = s[:idx]
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s = s[idx + 1:]
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if mod is None:
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mod = self.ctx[next_]
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else:
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mod = getattr(mod, next_)
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return mod
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@staticmethod
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def build_objects(cfg, mod=None):
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if isinstance(cfg, list):
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return [CfgNode.build_objects(c, mod=mod) for c in cfg]
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elif isinstance(cfg, CfgNode):
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return cfg.build_object(mod=mod)
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elif isinstance(cfg, dict):
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return {
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k: CfgNode.build_objects(
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v, mod=mod)
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for k, v in cfg.items()
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}
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else:
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return cfg
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def __repr__(self):
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return f"(type={self.type}, args={self.args}, module={self.module or ' '})"
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@classmethod
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def from_yaml(cls, loader, node):
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map_ = loader.construct_mapping(node)
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return cls(map_)
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def items(self):
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yield from [('type', self.type), ('args', self.args), ('module',
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self.module)]
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def to_dict(self):
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return dict(self.items())
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def build_objects(cfg, mod=None):
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return CfgNode.build_objects(cfg, mod=mod)
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