import torch #line:1
from .import utility #line:2
from .import data #line:3
from .data import test #line:4
from .model import meta_multi #line:5
from .import model #line:6
from .import loss #line:7
import os #line:8
import sys #line:9
from .import option #line:11
from .trainer import Trainer #line:12

local_model_path =os .path .abspath (__file__ ).replace (os .path .abspath (__file__ ).split ('/')[-1 ],'')#line:15
def get_Stage2_result (scale ='1',save ='/home1/mksun/SAINT/result/kevin_ct_head_fuse',loss ='1*L1',base_model ='META_MULTI',epochs =100 ,batch_size =1 ,dir_data ='/home1/mksun/SAINT/Data/cor_sag_combine_output',data_train ='TRAIN',data_test ='TEST',data_range ='1-1/1-100',n_colors =2 ,n_GPUs =1 ,save_results =True ,rgb_range =4000 ,RDNconfig ='C',pre_train =os .path .join (local_model_path ,'model_best.pt'),test_only =True,gpu='0'):#line:20
    ""#line:42
    os .environ ['CUDA_VISIBLE_DEVICES']=gpu#line:13
    OO0000O0000OOO0O0 =option .paprams2arg (dict (scale =scale ,save =save ,loss =loss ,base_model =base_model ,epochs =epochs ,batch_size =batch_size ,dir_data =dir_data ,data_train =data_train ,data_test =data_test ,data_range =data_range ,n_colors =n_colors ,n_GPUs =n_GPUs ,save_results =save_results ,rgb_range =rgb_range ,RDNconfig =RDNconfig ,pre_train =pre_train ,test_only =test_only )).args #line:51
    torch .manual_seed (OO0000O0000OOO0O0 .seed )#line:53
    O0O00OO0O0OOOO00O =utility .checkpoint (OO0000O0000OOO0O0 )#line:54
    if O0O00OO0O0OOOO00O .ok :#line:56
        OOO00OO0OO00000OO =data .Data (OO0000O0000OOO0O0 )#line:57
        print ("loader_loadertest---",len (OOO00OO0OO00000OO .loader_test ))#line:58
        global model #line:59
        model =model .Model (OO0000O0000OOO0O0 ,O0O00OO0O0OOOO00O )#line:62
        print ('number of parameters:',count_parameters (model ))#line:64
        loss =loss .Loss (OO0000O0000OOO0O0 ,O0O00OO0O0OOOO00O )if not OO0000O0000OOO0O0 .test_only else None #line:65
        OO00OOO000OO0OO00 =Trainer (OO0000O0000OOO0O0 ,OOO00OO0OO00000OO ,model ,loss ,O0O00OO0O0OOOO00O )#line:66
        while not OO00OOO000OO0OO00 .terminate ():#line:67
            OO00OOO000OO0OO00 .train ()#line:69
            OO00OOO000OO0OO00 .test ()#line:71
        O0O00OO0O0OOOO00O .done ()#line:73
def count_parameters (OO00OOO0OOO0O0OOO ):#line:75
        return sum (O0O000OOOO0OO0OO0 .numel ()for O0O000OOOO0OO0OO0 in OO00OOO0OOO0O0OOO .parameters ()if O0O000OOOO0OO0OO0 .requires_grad )#line:76
