import argparse #line:1
from .import template #line:2
class paprams2arg ():#line:4
    def __init__ (OOO00OO00O0O00OOO ,OOO0OO0000OOO000O ):#line:5
        print (OOO0OO0000OOO000O )#line:6
        OOO00OO00O0O00OOO .scale =OOO0OO0000OOO000O ["scale"]#line:7
        OOO00OO00O0O00OOO .save =OOO0OO0000OOO000O ["save"]#line:8
        OOO00OO00O0O00OOO .loss =OOO0OO0000OOO000O ["loss"]#line:9
        OOO00OO00O0O00OOO .model =OOO0OO0000OOO000O ["base_model"]#line:10
        OOO00OO00O0O00OOO .epochs =OOO0OO0000OOO000O ["epochs"]#line:11
        OOO00OO00O0O00OOO .batch_size =OOO0OO0000OOO000O ["batch_size"]#line:12
        OOO00OO00O0O00OOO .dir_data =OOO0OO0000OOO000O ["dir_data"]#line:13
        OOO00OO00O0O00OOO .data_train =OOO0OO0000OOO000O ["data_train"]#line:14
        OOO00OO00O0O00OOO .data_test =OOO0OO0000OOO000O ["data_test"]#line:15
        OOO00OO00O0O00OOO .data_range =OOO0OO0000OOO000O ["data_range"]#line:16
        OOO00OO00O0O00OOO .n_colors =OOO0OO0000OOO000O ["n_colors"]#line:17
        OOO00OO00O0O00OOO .n_GPUs =OOO0OO0000OOO000O ["n_GPUs"]#line:18
        OOO00OO00O0O00OOO .save_results =OOO0OO0000OOO000O ["save_results"]#line:19
        OOO00OO00O0O00OOO .rgb_range =OOO0OO0000OOO000O ["rgb_range"]#line:20
        OOO00OO00O0O00OOO .RDNconfig =OOO0OO0000OOO000O ["RDNconfig"]#line:21
        OOO00OO00O0O00OOO .pre_train =OOO0OO0000OOO000O ["pre_train"]#line:22
        OOO00OO00O0O00OOO .test_only =OOO0OO0000OOO000O ["test_only"]#line:23
        O00OO0O000OO0O0O0 =argparse .ArgumentParser (description ='EDSR and MDSR')#line:26
        O00OO0O000OO0O0O0 .add_argument ('--debug',action ='store_true',help ='Enables debug mode')#line:29
        O00OO0O000OO0O0O0 .add_argument ('--template',default ='.',help ='You can set various templates in option.py')#line:31
        O00OO0O000OO0O0O0 .add_argument ('--n_threads',type =int ,default =6 ,help ='number of threads for data loading')#line:35
        O00OO0O000OO0O0O0 .add_argument ('--cpu',action ='store_true',help ='use cpu only')#line:37
        O00OO0O000OO0O0O0 .add_argument ('--n_GPUs',type =int ,default =OOO00OO00O0O00OOO .n_GPUs ,help ='number of GPUs')#line:39
        O00OO0O000OO0O0O0 .add_argument ('--seed',type =int ,default =1 ,help ='random seed')#line:41
        O00OO0O000OO0O0O0 .add_argument ('--dir_data',type =str ,default =OOO00OO00O0O00OOO .dir_data ,help ='dataset directory')#line:45
        O00OO0O000OO0O0O0 .add_argument ('--dir_demo',type =str ,default ='../test',help ='demo image directory')#line:47
        O00OO0O000OO0O0O0 .add_argument ('--data_train',type =str ,default =OOO00OO00O0O00OOO .data_train ,help ='train dataset name')#line:49
        O00OO0O000OO0O0O0 .add_argument ('--data_test',type =str ,default =OOO00OO00O0O00OOO .data_test ,help ='test dataset name')#line:51
        O00OO0O000OO0O0O0 .add_argument ('--data_range',type =str ,default =OOO00OO00O0O00OOO .data_range ,help ='train/test data range')#line:53
        O00OO0O000OO0O0O0 .add_argument ('--ext',type =str ,default ='sep',help ='dataset file extension')#line:55
        O00OO0O000OO0O0O0 .add_argument ('--scale',type =str ,default =OOO00OO00O0O00OOO .scale ,help ='super resolution scale')#line:57
        O00OO0O000OO0O0O0 .add_argument ('--patch_size',type =int ,default =192 ,help ='output patch size')#line:59
        O00OO0O000OO0O0O0 .add_argument ('--rgb_range',type =int ,default =OOO00OO00O0O00OOO .rgb_range ,help ='maximum value of RGB')#line:61
        O00OO0O000OO0O0O0 .add_argument ('--n_colors',type =int ,default =OOO00OO00O0O00OOO .n_colors ,help ='number of channels to use')#line:63
        O00OO0O000OO0O0O0 .add_argument ('--input_side',type =str ,default ='all',help ='use only cor, sag, or all')#line:65
        O00OO0O000OO0O0O0 .add_argument ('--chop',action ='store_true',help ='enable memory-efficient forward')#line:67
        O00OO0O000OO0O0O0 .add_argument ('--no_augment',action ='store_true',help ='do not use data augmentation')#line:69
        O00OO0O000OO0O0O0 .add_argument ('--model',default =OOO00OO00O0O00OOO .model ,help ='model name')#line:73
        O00OO0O000OO0O0O0 .add_argument ('--act',type =str ,default ='relu',help ='activation function')#line:76
        O00OO0O000OO0O0O0 .add_argument ('--pre_train',type =str ,default =OOO00OO00O0O00OOO .pre_train ,help ='pre-trained model directory')#line:78
        O00OO0O000OO0O0O0 .add_argument ('--extend',type =str ,default ='.',help ='pre-trained model directory')#line:80
        O00OO0O000OO0O0O0 .add_argument ('--n_resblocks',type =int ,default =16 ,help ='number of residual blocks')#line:82
        O00OO0O000OO0O0O0 .add_argument ('--n_feats',type =int ,default =64 ,help ='number of feature maps')#line:84
        O00OO0O000OO0O0O0 .add_argument ('--res_scale',type =float ,default =1 ,help ='residual scaling')#line:86
        O00OO0O000OO0O0O0 .add_argument ('--shift_mean',default =True ,help ='subtract pixel mean from the input')#line:88
        O00OO0O000OO0O0O0 .add_argument ('--dilation',action ='store_true',help ='use dilated convolution')#line:90
        O00OO0O000OO0O0O0 .add_argument ('--precision',type =str ,default ='single',choices =('single','half'),help ='FP precision for test (single | half)')#line:93
        O00OO0O000OO0O0O0 .add_argument ('--G0',type =int ,default =64 ,help ='default number of filters. (Use in RDN)')#line:97
        O00OO0O000OO0O0O0 .add_argument ('--RDNkSize',type =int ,default =3 ,help ='default kernel size. (Use in RDN)')#line:99
        O00OO0O000OO0O0O0 .add_argument ('--RDNconfig',type =str ,default =OOO00OO00O0O00OOO .RDNconfig ,help ='parameters config of RDN. (Use in RDN)')#line:101
        O00OO0O000OO0O0O0 .add_argument ('--n_resgroups',type =int ,default =10 ,help ='number of residual groups')#line:105
        O00OO0O000OO0O0O0 .add_argument ('--reduction',type =int ,default =16 ,help ='number of feature maps reduction')#line:107
        O00OO0O000OO0O0O0 .add_argument ('--reset',action ='store_true',help ='reset the training')#line:111
        O00OO0O000OO0O0O0 .add_argument ('--test_every',type =int ,default =1000 ,help ='do test per every N batches')#line:113
        O00OO0O000OO0O0O0 .add_argument ('--epochs',type =int ,default =OOO00OO00O0O00OOO .epochs ,help ='number of epochs to train')#line:115
        O00OO0O000OO0O0O0 .add_argument ('--batch_size',type =int ,default =OOO00OO00O0O00OOO .batch_size ,help ='input batch size for training')#line:117
        O00OO0O000OO0O0O0 .add_argument ('--split_batch',type =int ,default =1 ,help ='split the batch into smaller chunks')#line:119
        O00OO0O000OO0O0O0 .add_argument ('--self_ensemble',action ='store_true',help ='use self-ensemble method for test')#line:121
        O00OO0O000OO0O0O0 .add_argument ('--test_only',type =bool ,default =OOO00OO00O0O00OOO .test_only ,help ='set this option to test the model')#line:123
        O00OO0O000OO0O0O0 .add_argument ('--gan_k',type =int ,default =1 ,help ='k value for adversarial loss, this is for helping discriminator/generator learning inbalance, i.e. you can train discriminator gan_k times before training generator onece')#line:125
        O00OO0O000OO0O0O0 .add_argument ('--lr',type =float ,default =1e-4 ,help ='learning rate')#line:129
        O00OO0O000OO0O0O0 .add_argument ('--lr_decay',type =int ,default =200 ,help ='learning rate decay per N epochs')#line:131
        O00OO0O000OO0O0O0 .add_argument ('--decay_type',type =str ,default ='step',help ='learning rate decay type')#line:133
        O00OO0O000OO0O0O0 .add_argument ('--gamma',type =float ,default =0.5 ,help ='learning rate decay factor for step decay')#line:135
        O00OO0O000OO0O0O0 .add_argument ('--optimizer',default ='ADAM',choices =('SGD','ADAM','RMSprop'),help ='optimizer to use (SGD | ADAM | RMSprop)')#line:138
        O00OO0O000OO0O0O0 .add_argument ('--momentum',type =float ,default =0.9 ,help ='SGD momentum')#line:140
        O00OO0O000OO0O0O0 .add_argument ('--beta1',type =float ,default =0.9 ,help ='ADAM beta1')#line:142
        O00OO0O000OO0O0O0 .add_argument ('--beta2',type =float ,default =0.999 ,help ='ADAM beta2')#line:144
        O00OO0O000OO0O0O0 .add_argument ('--epsilon',type =float ,default =1e-8 ,help ='ADAM epsilon for numerical stability')#line:146
        O00OO0O000OO0O0O0 .add_argument ('--weight_decay',type =float ,default =0 ,help ='weight decay')#line:148
        O00OO0O000OO0O0O0 .add_argument ('--loss',type =str ,default =OOO00OO00O0O00OOO .loss ,help ='loss function configuration')#line:152
        O00OO0O000OO0O0O0 .add_argument ('--skip_threshold',type =float ,default ='1e6',help ='skipping batch that has large error')#line:154
        O00OO0O000OO0O0O0 .add_argument ('--no_eval',action ='store_true',help ='no evaluation')#line:156
        O00OO0O000OO0O0O0 .add_argument ('--save',type =str ,default =OOO00OO00O0O00OOO .save ,help ='file name to save')#line:159
        O00OO0O000OO0O0O0 .add_argument ('--load',type =str ,default ='.',help ='file name to load')#line:161
        O00OO0O000OO0O0O0 .add_argument ('--resume',type =int ,default =0 ,help ='resume from specific checkpoint')#line:163
        O00OO0O000OO0O0O0 .add_argument ('--save_models',action ='store_true',help ='save all intermediate models')#line:165
        O00OO0O000OO0O0O0 .add_argument ('--print_every',type =int ,default =100 ,help ='how many batches to wait before logging training status')#line:167
        O00OO0O000OO0O0O0 .add_argument ('--save_results',type =bool ,default =OOO00OO00O0O00OOO .save_results ,help ='save output results')#line:169
        OOO00OO00O0O00OOO .args =O00OO0O000OO0O0O0 .parse_args ()#line:171
        template .set_template (OOO00OO00O0O00OOO .args )#line:172
        OOO00OO00O0O00OOO .args .scale =list (map (lambda O0O0O0OOO000OO00O :int (O0O0O0OOO000OO00O ),OOO00OO00O0O00OOO .args .scale .split ('+')))#line:174
        if OOO00OO00O0O00OOO .args .epochs ==0 :#line:176
            OOO00OO00O0O00OOO .args .epochs =1e8 #line:177
        for O00O0O0O00OOOO000 in vars (OOO00OO00O0O00OOO .args ):#line:179
            if vars (OOO00OO00O0O00OOO .args )[O00O0O0O00OOOO000 ]=='True':#line:180
                vars (OOO00OO00O0O00OOO .args )[O00O0O0O00OOOO000 ]=True #line:181
            elif vars (OOO00OO00O0O00OOO .args )[O00O0O0O00OOOO000 ]=='False':#line:182
                vars (OOO00OO00O0O00OOO .args )[O00O0O0O00OOOO000 ]=False #line:183
