import argparse #line:1
from .import template #line:2
class paprams2arg ():#line:5
    def __init__ (OOO0O0OOO0O0OOO00 ,O00O000000O0OOOOO ):#line:6
        print (O00O000000O0OOOOO )#line:7
        OOO0O0OOO0O0OOO00 .scale =O00O000000O0OOOOO ["scale"]#line:8
        OOO0O0OOO0O0OOO00 .save =O00O000000O0OOOOO ["save"]#line:9
        OOO0O0OOO0O0OOO00 .loss =O00O000000O0OOOOO ["loss"]#line:10
        OOO0O0OOO0O0OOO00 .model =O00O000000O0OOOOO ["base_model"]#line:11
        OOO0O0OOO0O0OOO00 .epochs =O00O000000O0OOOOO ["epochs"]#line:12
        OOO0O0OOO0O0OOO00 .batch_size =O00O000000O0OOOOO ["batch_size"]#line:13
        OOO0O0OOO0O0OOO00 .dir_data =O00O000000O0OOOOO ["dir_data"]#line:14
        OOO0O0OOO0O0OOO00 .data_train =O00O000000O0OOOOO ["data_train"]#line:15
        OOO0O0OOO0O0OOO00 .data_test =O00O000000O0OOOOO ["data_test"]#line:16
        OOO0O0OOO0O0OOO00 .data_range =O00O000000O0OOOOO ["data_range"]#line:17
        OOO0O0OOO0O0OOO00 .n_colors =O00O000000O0OOOOO ["n_colors"]#line:18
        OOO0O0OOO0O0OOO00 .n_GPUs =O00O000000O0OOOOO ["n_GPUs"]#line:19
        OOO0O0OOO0O0OOO00 .save_results =O00O000000O0OOOOO ["save_results"]#line:20
        OOO0O0OOO0O0OOO00 .rgb_range =O00O000000O0OOOOO ["rgb_range"]#line:21
        OOO0O0OOO0O0OOO00 .RDNconfig =O00O000000O0OOOOO ["RDNconfig"]#line:22
        OOO0O0OOO0O0OOO00 .patch_size =O00O000000O0OOOOO ["patch_size"]#line:23
        OOO0O0OOO0O0OOO00 .pre_train =O00O000000O0OOOOO ["pre_train"]#line:24
        OOO0O0OOO0O0OOO00 .test_only =O00O000000O0OOOOO ["test_only"]#line:25
        OOO0O0OOO0O0OOO00 .view =O00O000000O0OOOOO ["view"]#line:26
        OOOO0000000OO000O =argparse .ArgumentParser (description ='EDSR and MDSR')#line:28
        OOOO0000000OO000O .add_argument ('--debug',action ='store_true',help ='Enables debug mode')#line:31
        OOOO0000000OO000O .add_argument ('--template',default ='.',help ='You can set various templates in option.py')#line:33
        OOOO0000000OO000O .add_argument ('--n_threads',type =int ,default =6 ,help ='number of threads for data loading')#line:37
        OOOO0000000OO000O .add_argument ('--cpu',action ='store_true',help ='use cpu only')#line:39
        OOOO0000000OO000O .add_argument ('--n_GPUs',type =int ,default =OOO0O0OOO0O0OOO00 .n_GPUs ,help ='number of GPUs')#line:41
        OOOO0000000OO000O .add_argument ('--seed',type =int ,default =1 ,help ='random seed')#line:43
        OOOO0000000OO000O .add_argument ('--dir_data',type =str ,default =OOO0O0OOO0O0OOO00 .dir_data ,help ='dataset directory')#line:47
        OOOO0000000OO000O .add_argument ('--dir_demo',type =str ,default ='../test',help ='demo image directory')#line:49
        OOOO0000000OO000O .add_argument ('--data_train',type =str ,default =OOO0O0OOO0O0OOO00 .data_train ,help ='train dataset name')#line:51
        OOOO0000000OO000O .add_argument ('--data_test',type =str ,default =OOO0O0OOO0O0OOO00 .data_test ,help ='test dataset name')#line:53
        OOOO0000000OO000O .add_argument ('--data_range',type =str ,default =OOO0O0OOO0O0OOO00 .data_range ,help ='train/test data range')#line:55
        OOOO0000000OO000O .add_argument ('--ext',type =str ,default ='sep',help ='dataset file extension')#line:57
        OOOO0000000OO000O .add_argument ('--scale',type =str ,default =OOO0O0OOO0O0OOO00 .scale ,help ='super resolution scale')#line:59
        OOOO0000000OO000O .add_argument ('--patch_size',type =int ,default =OOO0O0OOO0O0OOO00 .patch_size ,help ='output patch size')#line:61
        OOOO0000000OO000O .add_argument ('--rgb_range',type =int ,default =OOO0O0OOO0O0OOO00 .rgb_range ,help ='maximum value of RGB')#line:63
        OOOO0000000OO000O .add_argument ('--n_colors',type =int ,default =OOO0O0OOO0O0OOO00 .n_colors ,help ='number of channels to use')#line:65
        OOOO0000000OO000O .add_argument ('--input_side',type =str ,default ='all',help ='use only cor, sag, or all')#line:67
        OOOO0000000OO000O .add_argument ('--chop',action ='store_true',help ='enable memory-efficient forward')#line:69
        OOOO0000000OO000O .add_argument ('--no_augment',action ='store_true',help ='do not use data augmentation')#line:71
        OOOO0000000OO000O .add_argument ('--view',type =str ,default =OOO0O0OOO0O0OOO00 .view ,help ='view of interpolation')#line:73
        OOOO0000000OO000O .add_argument ('--model',default =OOO0O0OOO0O0OOO00 .model ,help ='model name')#line:79
        OOOO0000000OO000O .add_argument ('--act',type =str ,default ='relu',help ='activation function')#line:82
        OOOO0000000OO000O .add_argument ('--pre_train',type =str ,default =OOO0O0OOO0O0OOO00 .pre_train ,help ='pre-trained model directory')#line:84
        OOOO0000000OO000O .add_argument ('--extend',type =str ,default ='.',help ='pre-trained model directory')#line:86
        OOOO0000000OO000O .add_argument ('--n_resblocks',type =int ,default =16 ,help ='number of residual blocks')#line:88
        OOOO0000000OO000O .add_argument ('--n_feats',type =int ,default =64 ,help ='number of feature maps')#line:90
        OOOO0000000OO000O .add_argument ('--res_scale',type =float ,default =1 ,help ='residual scaling')#line:92
        OOOO0000000OO000O .add_argument ('--shift_mean',default =True ,help ='subtract pixel mean from the input')#line:94
        OOOO0000000OO000O .add_argument ('--dilation',action ='store_true',help ='use dilated convolution')#line:96
        OOOO0000000OO000O .add_argument ('--precision',type =str ,default ='single',choices =('single','half'),help ='FP precision for test (single | half)')#line:99
        OOOO0000000OO000O .add_argument ('--G0',type =int ,default =64 ,help ='default number of filters. (Use in RDN)')#line:103
        OOOO0000000OO000O .add_argument ('--RDNkSize',type =int ,default =3 ,help ='default kernel size. (Use in RDN)')#line:105
        OOOO0000000OO000O .add_argument ('--RDNconfig',type =str ,default =OOO0O0OOO0O0OOO00 .RDNconfig ,help ='parameters config of RDN. (Use in RDN)')#line:107
        OOOO0000000OO000O .add_argument ('--n_resgroups',type =int ,default =10 ,help ='number of residual groups')#line:111
        OOOO0000000OO000O .add_argument ('--reduction',type =int ,default =16 ,help ='number of feature maps reduction')#line:113
        OOOO0000000OO000O .add_argument ('--reset',action ='store_true',help ='reset the training')#line:117
        OOOO0000000OO000O .add_argument ('--test_every',type =int ,default =1000 ,help ='do test per every N batches')#line:119
        OOOO0000000OO000O .add_argument ('--epochs',type =int ,default =OOO0O0OOO0O0OOO00 .epochs ,help ='number of epochs to train')#line:121
        OOOO0000000OO000O .add_argument ('--batch_size',type =int ,default =OOO0O0OOO0O0OOO00 .batch_size ,help ='input batch size for training')#line:123
        OOOO0000000OO000O .add_argument ('--split_batch',type =int ,default =1 ,help ='split the batch into smaller chunks')#line:125
        OOOO0000000OO000O .add_argument ('--self_ensemble',action ='store_true',help ='use self-ensemble method for test')#line:127
        OOOO0000000OO000O .add_argument ('--test_only',type =bool ,default =OOO0O0OOO0O0OOO00 .test_only ,help ='set this option to test the model')#line:129
        OOOO0000000OO000O .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:131
        OOOO0000000OO000O .add_argument ('--lr',type =float ,default =1e-4 ,help ='learning rate')#line:135
        OOOO0000000OO000O .add_argument ('--lr_decay',type =int ,default =200 ,help ='learning rate decay per N epochs')#line:137
        OOOO0000000OO000O .add_argument ('--decay_type',type =str ,default ='step',help ='learning rate decay type')#line:139
        OOOO0000000OO000O .add_argument ('--gamma',type =float ,default =0.5 ,help ='learning rate decay factor for step decay')#line:141
        OOOO0000000OO000O .add_argument ('--optimizer',default ='ADAM',choices =('SGD','ADAM','RMSprop'),help ='optimizer to use (SGD | ADAM | RMSprop)')#line:144
        OOOO0000000OO000O .add_argument ('--momentum',type =float ,default =0.9 ,help ='SGD momentum')#line:146
        OOOO0000000OO000O .add_argument ('--beta1',type =float ,default =0.9 ,help ='ADAM beta1')#line:148
        OOOO0000000OO000O .add_argument ('--beta2',type =float ,default =0.999 ,help ='ADAM beta2')#line:150
        OOOO0000000OO000O .add_argument ('--epsilon',type =float ,default =1e-8 ,help ='ADAM epsilon for numerical stability')#line:152
        OOOO0000000OO000O .add_argument ('--weight_decay',type =float ,default =0 ,help ='weight decay')#line:154
        OOOO0000000OO000O .add_argument ('--loss',type =str ,default =OOO0O0OOO0O0OOO00 .loss ,help ='loss function configuration')#line:158
        OOOO0000000OO000O .add_argument ('--skip_threshold',type =float ,default ='1e6',help ='skipping batch that has large error')#line:160
        OOOO0000000OO000O .add_argument ('--no_eval',action ='store_true',help ='no evaluation')#line:162
        OOOO0000000OO000O .add_argument ('--save',type =str ,default =OOO0O0OOO0O0OOO00 .save ,help ='file name to save')#line:166
        OOOO0000000OO000O .add_argument ('--load',type =str ,default ='.',help ='file name to load')#line:168
        OOOO0000000OO000O .add_argument ('--resume',type =int ,default =0 ,help ='resume from specific checkpoint')#line:170
        OOOO0000000OO000O .add_argument ('--save_models',action ='store_true',help ='save all intermediate models')#line:172
        OOOO0000000OO000O .add_argument ('--print_every',type =int ,default =100 ,help ='how many batches to wait before logging training status')#line:174
        OOOO0000000OO000O .add_argument ('--save_results',type =bool ,default =OOO0O0OOO0O0OOO00 .save_results ,help ='save output results')#line:176
        OOO0O0OOO0O0OOO00 .args =OOOO0000000OO000O .parse_args ()#line:178
        template .set_template (OOO0O0OOO0O0OOO00 .args )#line:179
        OOO0O0OOO0O0OOO00 .args .scale =list (map (lambda OO00O0O000O0OO0OO :int (OO00O0O000O0OO0OO ),OOO0O0OOO0O0OOO00 .args .scale .split ('+')))#line:181
        if OOO0O0OOO0O0OOO00 .args .epochs ==0 :#line:183
            OOO0O0OOO0O0OOO00 .args .epochs =1e8 #line:184
        for OO0OO0O00O0O0OOOO in vars (OOO0O0OOO0O0OOO00 .args ):#line:186
            if vars (OOO0O0OOO0O0OOO00 .args )[OO0OO0O00O0O0OOOO ]=='True':#line:187
                vars (OOO0O0OOO0O0OOO00 .args )[OO0OO0O00O0O0OOOO ]=True #line:188
            elif vars (OOO0O0OOO0O0OOO00 .args )[OO0OO0O00O0O0OOOO ]=='False':#line:189
                vars (OOO0O0OOO0O0OOO00 .args )[OO0OO0O00O0O0OOOO ]=False #line:190
