From 495ffc4777522e40941753e3b1b79c02f84b25b4 Mon Sep 17 00:00:00 2001 From: Grafting Rayman <156515434+GraftingRayman@users.noreply.github.com> Date: Fri, 17 Jan 2025 11:00:30 +0000 Subject: Add files via upload --- r_basicsr/utils/options.py | 194 +++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 194 insertions(+) create mode 100644 r_basicsr/utils/options.py (limited to 'r_basicsr/utils/options.py') diff --git a/r_basicsr/utils/options.py b/r_basicsr/utils/options.py new file mode 100644 index 0000000..cf90df4 --- /dev/null +++ b/r_basicsr/utils/options.py @@ -0,0 +1,194 @@ +import argparse +import random +import torch +import yaml +from collections import OrderedDict +from os import path as osp + +from r_basicsr.utils import set_random_seed +from r_basicsr.utils.dist_util import get_dist_info, init_dist, master_only + + +def ordered_yaml(): + """Support OrderedDict for yaml. + + Returns: + yaml Loader and Dumper. + """ + try: + from yaml import CDumper as Dumper + from yaml import CLoader as Loader + except ImportError: + from yaml import Dumper, Loader + + _mapping_tag = yaml.resolver.BaseResolver.DEFAULT_MAPPING_TAG + + def dict_representer(dumper, data): + return dumper.represent_dict(data.items()) + + def dict_constructor(loader, node): + return OrderedDict(loader.construct_pairs(node)) + + Dumper.add_representer(OrderedDict, dict_representer) + Loader.add_constructor(_mapping_tag, dict_constructor) + return Loader, Dumper + + +def dict2str(opt, indent_level=1): + """dict to string for printing options. + + Args: + opt (dict): Option dict. + indent_level (int): Indent level. Default: 1. + + Return: + (str): Option string for printing. + """ + msg = '\n' + for k, v in opt.items(): + if isinstance(v, dict): + msg += ' ' * (indent_level * 2) + k + ':[' + msg += dict2str(v, indent_level + 1) + msg += ' ' * (indent_level * 2) + ']\n' + else: + msg += ' ' * (indent_level * 2) + k + ': ' + str(v) + '\n' + return msg + + +def _postprocess_yml_value(value): + # None + if value == '~' or value.lower() == 'none': + return None + # bool + if value.lower() == 'true': + return True + elif value.lower() == 'false': + return False + # !!float number + if value.startswith('!!float'): + return float(value.replace('!!float', '')) + # number + if value.isdigit(): + return int(value) + elif value.replace('.', '', 1).isdigit() and value.count('.') < 2: + return float(value) + # list + if value.startswith('['): + return eval(value) + # str + return value + + +def parse_options(root_path, is_train=True): + parser = argparse.ArgumentParser() + parser.add_argument('-opt', type=str, required=True, help='Path to option YAML file.') + parser.add_argument('--launcher', choices=['none', 'pytorch', 'slurm'], default='none', help='job launcher') + parser.add_argument('--auto_resume', action='store_true') + parser.add_argument('--debug', action='store_true') + parser.add_argument('--local_rank', type=int, default=0) + parser.add_argument( + '--force_yml', nargs='+', default=None, help='Force to update yml files. Examples: train:ema_decay=0.999') + args = parser.parse_args() + + # parse yml to dict + with open(args.opt, mode='r') as f: + opt = yaml.load(f, Loader=ordered_yaml()[0]) + + # distributed settings + if args.launcher == 'none': + opt['dist'] = False + print('Disable distributed.', flush=True) + else: + opt['dist'] = True + if args.launcher == 'slurm' and 'dist_params' in opt: + init_dist(args.launcher, **opt['dist_params']) + else: + init_dist(args.launcher) + opt['rank'], opt['world_size'] = get_dist_info() + + # random seed + seed = opt.get('manual_seed') + if seed is None: + seed = random.randint(1, 10000) + opt['manual_seed'] = seed + set_random_seed(seed + opt['rank']) + + # force to update yml options + if args.force_yml is not None: + for entry in args.force_yml: + # now do not support creating new keys + keys, value = entry.split('=') + keys, value = keys.strip(), value.strip() + value = _postprocess_yml_value(value) + eval_str = 'opt' + for key in keys.split(':'): + eval_str += f'["{key}"]' + eval_str += '=value' + # using exec function + exec(eval_str) + + opt['auto_resume'] = args.auto_resume + opt['is_train'] = is_train + + # debug setting + if args.debug and not opt['name'].startswith('debug'): + opt['name'] = 'debug_' + opt['name'] + + if opt['num_gpu'] == 'auto': + opt['num_gpu'] = torch.cuda.device_count() + + # datasets + for phase, dataset in opt['datasets'].items(): + # for multiple datasets, e.g., val_1, val_2; test_1, test_2 + phase = phase.split('_')[0] + dataset['phase'] = phase + if 'scale' in opt: + dataset['scale'] = opt['scale'] + if dataset.get('dataroot_gt') is not None: + dataset['dataroot_gt'] = osp.expanduser(dataset['dataroot_gt']) + if dataset.get('dataroot_lq') is not None: + dataset['dataroot_lq'] = osp.expanduser(dataset['dataroot_lq']) + + # paths + for key, val in opt['path'].items(): + if (val is not None) and ('resume_state' in key or 'pretrain_network' in key): + opt['path'][key] = osp.expanduser(val) + + if is_train: + experiments_root = osp.join(root_path, 'experiments', opt['name']) + opt['path']['experiments_root'] = experiments_root + opt['path']['models'] = osp.join(experiments_root, 'models') + opt['path']['training_states'] = osp.join(experiments_root, 'training_states') + opt['path']['log'] = experiments_root + opt['path']['visualization'] = osp.join(experiments_root, 'visualization') + + # change some options for debug mode + if 'debug' in opt['name']: + if 'val' in opt: + opt['val']['val_freq'] = 8 + opt['logger']['print_freq'] = 1 + opt['logger']['save_checkpoint_freq'] = 8 + else: # test + results_root = osp.join(root_path, 'results', opt['name']) + opt['path']['results_root'] = results_root + opt['path']['log'] = results_root + opt['path']['visualization'] = osp.join(results_root, 'visualization') + + return opt, args + + +@master_only +def copy_opt_file(opt_file, experiments_root): + # copy the yml file to the experiment root + import sys + import time + from shutil import copyfile + cmd = ' '.join(sys.argv) + filename = osp.join(experiments_root, osp.basename(opt_file)) + copyfile(opt_file, filename) + + with open(filename, 'r+') as f: + lines = f.readlines() + lines.insert(0, f'# GENERATE TIME: {time.asctime()}\n# CMD:\n# {cmd}\n\n') + f.seek(0) + f.writelines(lines) -- cgit v1.2.3