runs/code-decoder-v22-bigset-tuner/config_v1/CONFIG_medium/ckpt/generated.txt

K=10,T=0.8: <data>( ' skip _ bias ' , [ self . skip _ channels ] , initializer = tf . zeros _ initializer ) transformed = transformed + dense _ bias skip _ output = skip _ output + skip _ bias dense _ output = input _ batch + transformed if self . normalize : skip _ output = normalize ( skip _ output , method = self . normalize , is _ training = self . is _ training , name = ' normalize _ skip _ output ' ) dense _ output = normalize ( dense _ output </data>, name = ' relu ' ) return output def normalize _ output ( self , skip _ output ) : output = [ ] output = [ ] output = output + output + output + output + output + output + output + output + output + output + output + output + output + output + output + out + output + output + output + output + . output + output + output + output + output + output + output + output + output + output + output + output + " output + output 
K=10,T=0.8: <data>_ name = response _ type . _ _ qualname _ _ except attribute error : response _ type _ name = ' none ' try : response _ post _ type = api . info . response _ type _ post response _ post _ type _ name = response _ post _ type . _ _ name _ _ except attribute error : response _ post _ type _ name = ' none ' print ( response _ type _ name ) if issubclass ( api , <UNK> . models . api . api get ) : s </data>, response _ post _ type _ name = response _ post _ type . _ _ post _ type _ post _ type . _ _ post _ type _ post _ type _ post _ type . type _ post _ type _ post _ type _ post _ type _ post _ type . _ post _ type _ post _ type . type _ post _ type . _ post _ type . type _ post _ type . type _ post _ type . type _ post _ name . type _ post _ type 
K=10,T=0.8: <data>' upload _ to _ server ' not in new _ settings . keys ( ) : new _ settings [ ' upload _ to _ server ' ] = false if ' use _ proxy ' not in new _ settings . keys ( ) : new _ settings [ ' use _ proxy ' ] = false if ' show _ error _ detail ' not in new _ settings [ ' ftp ' ] . keys ( ) : new _ settings [ ' ftp ' ] [ ' show _ error _ detail ' ] = </data>false if ' show _ error _ detail ' not in new _ settings : if ' allow _ redirects ' not in new _ settings . keys ( ) : new _ settings [ ' allow _ redirects ' ] = false if ' debug ' in new _ settings . keys ( ) : new _ settings [ ' allow _ redirects ' ] = false old _ settings [ ' allow _ redirects ' ] = true if new _ settings . keys ( ) and new _ settings . keys ( ) : new _ settings 
K=10,T=0.8: <data>evals . utils . correspondence import argmax _ 2 d def compute _ errors ( model , instance , mask _ feats = false , return _ heatmaps = false ) : img _ i , mask _ i , kps _ i , img _ j , mask _ j , kps _ j , thresh _ scale , _ = instance mask _ i = torch . tensor ( np . array ( mask _ i , dtype = float ) ) mask _ j = torch . tensor ( np . array ( mask _ j , </data>dtype = float ) ) img _ i + = 1 . 0 * np . ones ( [ mask _ j , mask _ j , mask _ j ] ) img _ i = torch . tensor ( np . array ( np . zeros ( [ 1 , mask _ j ] , dtype = float ) ) mask _ j = torch . tensor ( mask _ j , dtype = float ) mask _ j = torch . tensor ( mask _ j ) mask _ j = torch . tensor ( mask _ j 
K=10,T=0.8: <data>% s & source = <UNK> ' % ( routine [ ' _ id ' ] , str ( time . time ( ) ) + ' 0 0 0 ' ) failure = 0 while failure < 1 0 : try : r = requests . get ( url , timeout = 1 0 ) except exception , e : print e failure + = 1 continue i , s = parse ( r . content . decode ( ' gbk ' , ' ignore ' ) , routine ) print ' successful : % s ( items : </data>% s ) ' % ( e , s ) continue else : print e error + " \ n \ n \ n " return success . strip ( ' ' ) def check _ url ( url ) : url = urljoin ( url , timeout = 1 0 ) if url . startswith ( ' / ? ' ) = = ' / ? ' : url = url . replace ( ' / ? ' , ' / ? ' , ' ' ) . replace ( ' / ? ' , ' . ' ) 
K=10,T=0.8: <data>_ masks [ item ] . astype ( np . int 6 4 ) ) , torch . tensor ( self . segment _ ids [ item ] . astype ( np . int 6 4 ) ) , torch . tensor ( self . lm _ label _ ids [ item ] . astype ( np . int 6 4 ) ) , ) def main ( ) : parser = argument parser ( ) parser . add _ argument ( ' - - pregenerated _ data ' , type = path , required = true ) parser . </data>add _ argument ( ' - - dataset ' , type = path , required = true ) parser . add _ argument ( ' - - dataset ' , type = path , required = true ) parser . add _ argument ( ' - - dataset ' , type = path , required = true , required = true ) parser . add _ argument ( ' - - dataset ' , type = str , required = true , default = ' cifar 1 0 0 ' ) parser . add _ argument ( ' - - 
K=10,T=0.8: <data>. 0 1 9 , space = ' buy ' , decimals = 3 , optimize = true , load = true ) buy _ bb _ offset _ 5 = decimal parameter ( 0 . 9 8 , 1 . 0 , default = 0 . 9 9 9 , space = ' buy ' , decimals = 3 , optimize = true , load = true ) buy _ ema _ rel _ 5 = decimal parameter ( 0 . 9 7 , 0 . 9 9 9 , default = 0 . 9 8 8 , space </data>= ' buy ' , decimals = 3 , optimize = false , load = true ) buy _ bb _ offset _ 6 = decimal parameter ( 0 . 9 0 , 0 . 9 9 8 9 , default = 0 . 9 5 , space = ' buy ' , decimals = 2 , optimize = false , load = true ) buy _ bb _ offset _ 1 = decimal parameter ( 0 . 9 9 , 0 . 9 9 9 , default = 0 . 9 9 9 , space = ' buy ' 
K=10,T=0.8: <data>ctx . run ( ' check - manifest ' ) log . write ( ' checking re structured text formatting . . . ' ) ctx . run ( ' python setup . py check - - strict - - metadata - - <UNK> ' ) log . write ( ' running flake 8 python <UNK> . . . ' ) ctx . run ( ' flake 8 src tests setup . py ' ) log . write ( ' checking python imports . . . ' ) ctx . run ( ' isort - - check - only - </data>install - - - - - install - - - install - - - install - - - install - - - install - - install - - install - - install - - - install - - install - - install - - - install - - install - - install - - - install - - install - - install - - - install - - install - - install - - install - - install - - install - - - install - - install - - - install - - install - - - install - 
K=10,T=0.8: <data>" , subtype = ' percentage ' , precision = 0 , step = 1 0 0 , default = 9 0 , min = 1 , max = 1 0 0 , description = " <UNK> / reduction rate for front view rendering " , ) side view resolution : bpy . props . float property ( name = " side view resolution " , subtype = ' percentage ' , precision = 0 , step = 1 0 0 , default = 9 0 , min = 1 , max = 1 0 0 , description = " </data><UNK> <UNK> / reduction rate for front view resolution " , description = " <UNK> / reduction rate for front view resolution " , description = " <UNK> / reduction rate for front view resolution " , subtype = ' percentage ' , subtype = ' percentage ' , soft _ max = 1 0 0 , description = " <UNK> / reduction rate for front view resolution " , description = " <UNK> / reduction rate for front view resolution " , subtype = ' percentage ' , soft _ max = 1 0 0 0 0 , description