| K=10,T=0.8: <data>pack size : sys . exit ( " [ - ] couldn ' t get package size , please try again later . . . " ) try : package _ name = " cap tipper - package . zip " f = open ( package _ name , ' wb ' ) file _ downloaded = 0 block _ size = 8 1 9 2 while true : buffer = u . read ( block _ size ) if not buffer : break file _ downloaded + = len ( buffer ) f . write ( buffer ) output </data>= f . read ( f ) with open ( path , ' r ' ) as file : file _ write = file . read ( ) f . write ( f ) print ( line ) fid . write _ write ( f " [ - ] [ - ] \ n [ - ] : ] : % s ] : { } " . write ( line ) f . write ( f " [ - ] : { : . ] } : { f } [ { f } ] { : . 4 | |
| K=10,T=0.8: <data>[ 1 , 2 , 3 , 1 , 2 , 0 ] ) true > > > is _ multi _ label ( [ 1 , 2 , 3 , 4 , 5 , 0 ] , is _ relation _ first = true ) false > > > is _ multi _ label ( [ 1 , 2 , 3 , 4 , 5 , 3 ] , is _ relation _ first = true ) false > > > is _ multi _ label ( [ 1 , 5 , 0 , 2 , 5 , 0 </data>] , is _ edge = true ) > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > < > > > > > > > > > > > > > > > > > > < > > > > > > < > > > > > > > > > > > > > < > > > > > > > | |
| K=10,T=0.8: <data>' , ' head . bias ' ] : if k in checkpoint _ model and checkpoint _ model [ k ] . shape ! = state _ dict [ k ] . shape : print ( f " removing key { k } from pretrained checkpoint " ) del checkpoint _ model [ k ] interpolate _ pos _ embed ( model , checkpoint _ model ) msg = model . load _ state _ dict ( checkpoint _ model , strict = false ) print ( msg ) if args . global _ pool : assert set ( </data>args . global _ pool , args . global _ pool , args . global _ pool ) else : msg = model . load _ state _ dict ( checkpoint _ model ) if args . global _ pool : print ( " \ n " ) print ( msg ) print ( msg ) print ( msg ) print ( msg ) print ( msg ) print ( msg . format ) print ( msg ) print ( msg ) print ( msg ) print ( msg ) print ( msg ) print ( msg ) print ( | |
| K=10,T=0.8: <data>' - - color _ jitter ' , action = ' store _ true ' , help = ' use color jitter in training ' ) parser . add _ argument ( ' - - batchsize ' , default = 3 2 , type = int , help = ' batchsize ' ) parser . add _ argument ( ' - - lr ' , default = 0 . 1 , type = float , help = ' learning rate ' ) parser . add _ argument ( ' - - alpha ' , default = 1 . 0 , </data>type = float , help = ' learning rate ' ) parser . add _ argument ( ' - - max _ steps ' , default = 7 , type = int , help = ' total number of epochs to train ' ) parser . add _ argument ( ' - - num _ workers ' , default = 4 , type = int , help = ' total number of batches per batch , default : 2 0 0 0 ' ) parser . add _ argument ( ' - - seed ' , default = 4 , | |
| K=10,T=0.8: <data>. format ( file _ action . value , local _ file _ path , tip ) ) if platform . system ( ) = = " windows " : <UNK> ( local _ file _ path , create _ time ) else : os . utime ( local _ file _ path , ( create _ time , modify _ time ) ) except exception as error : logging . info ( " { } { } { } " . format ( file _ action . value , original _ file _ path , format ( error ) </data>) ) if os . path . exists ( <UNK> ( local _ file _ path , path ) ) : os . mkdir ( <UNK> ( local _ file _ path , exist _ ok = true ) ) print ( " { } { } { } { } { } { } { } } { } { } { } { } { } { } { } { } { } } { } { } { } { } { } { } { } { } { } { } { } { | |
| K=10,T=0.8: <data>info , err ) if do [ ' loops ' ] and isfile ( loops ) : prn _ line ( info ) if do [ ' loop - ideal - ipc ' ] & 0 x 1 : exe ( ' echo > % s ' % llvm _ mca ) if do [ ' loop - ideal - ipc ' ] & 0 x 2 : exe ( ' echo > % s ' % uica ) cmd , top = ' ' , min ( do [ ' loops ' ] , int ( exe _ 1 </data>) ) if do [ ' loop - ipc ' ] < 0 x 5 : exe ( ' echo > % s ' % ( perf _ exe ( ' echo > % s ' % perf _ exe ( ' echo > % s ' % perf _ exe ( ' echo > % s ' % perf _ exe ( ' echo ' , perf _ exe ( ' echo > % s ' % perf _ exe ( ' echo > % s ' % perf _ exe ( ' echo > % s ' % | |
| K=10,T=0.8: <data>variable from utils . <UNK> import <UNK> from models . ops . <UNK> . functions . <UNK> import <UNK> function n , in c , in h , in w = 4 , 2 , 8 , 8 k h , k w = 3 , 3 pad , stride , dilation = 0 , 1 , 1 off c = 1 * 2 * k h * k w out c = 1 out h = ( in h + 2 * pad - ( dilation * ( k h - 1 ) + 1 ) ) / / </data>( ( dilation * ( k h - 1 ) + 1 ) + 1 ) / / ( ( dilation * ( k h - 1 ) + 1 ) , out c ) , out c , out c . w , k , w = 5 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , | |
| K=10,T=0.8: <data>) bpy . ops . object . mode _ set ( mode = mode ) return none def do ( ) : coords = get _ key _ coords ( bpy . context . object , ' uv _ shape _ key ' ) base = ( total _ length ( ed = ' empty ' , coords = ' empty ' , ob = ' empty ' ) ) map = ( total _ length ( ed = ' empty ' , coords = coords , ob = ' empty ' ) ) base _ sel = ( total </data>_ len ( st = ' empty ' , coords = coords , ob = ' empty ' ) ) * 2 0 0 for obj in map : if obj . name in [ ' mesh ' , ' mesh ' ] : mesh = obj . name if obj . name in [ ' mesh ' ] : mesh = obj . name if obj . name in [ ' mesh ' , ' mesh ' , ' mesh ' , ' mesh ' , ' mesh ' ] : mesh = obj . name if obj . | |
| K=10,T=0.8: <data>get _ text ( " menu " ) send _ message ( message = texto _ <UNK> ) elif comando in ( ' / list ' , f ' / list @ { bot . get _ me ( ) . username } ' ) : markup = inline keyboard markup ( row _ width = 1 ) markup . add ( inline keyboard button ( get _ text ( " button _ close " ) , callback _ data = " cerrar " ) ) containers = docker _ manager . list _ containers ( comando = comando ) </data>markup . add ( inline keyboard button ( get _ text ( " button _ close " ) , callback _ data = " cerrar " ) ) markup . add ( inline keyboard button ( get _ text ( " button _ close " ) , callback _ data = " markup " ) ) markup . add ( inline keyboard button ( get _ text ( " button _ close " ) , callback _ data = " cerrar " ) ) markup = inline keyboard markup ( row _ height = 1 ) markup . add ( | |