| 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>, output _ output ) dense _ output = tf . concat ( [ add _ output , add _ output , add _ output , add _ output , add _ output , add _ output ] ) dense _ output = tf . concat ( [ conv _ output , kernel _ size , kernel _ size , stride ) dense _ output = tf . concat ( [ concat _ output , add _ output ] , axis = [ ] ) dense _ output = tf . matmul ( tf . transpose ( [ concat _ | |
| 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>, s , s , s , s , s , s , s = client . info . response _ type _ post ( ' https : / / github . com / ' , s , s , s ) , s , s , s , s , s , s , s = client . info . response _ type _ post _ type _ get ( ' https : / / github . com ' , s ) , s = client . info . response _ type , s = client . info . | |
| 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>true if ' show _ error _ info ' not in new _ settings : new _ settings [ ' ftp ' ] [ ' show _ error _ info ' ] = true if new _ settings [ ' ftp ' ] [ ' show _ error _ info _ info ' ] : new _ settings [ ' ftp ' ] [ ' show _ error _ info _ info _ info ' ] = true if new _ settings [ ' ftp ' ] = = true : new _ settings [ ' ftp ' ] [ | |
| 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 ) ) [ : , 2 : ] . to ( device ) . to ( device ) ) mask _ j . extend ( mask _ j ) mask _ j = torch . tensor ( np . array ( mask _ j [ 0 : , 3 : ] ) ) mask _ j = np . array ( mask _ j [ - 2 : , 1 : ] ) mask _ j . extend ( mask _ j [ 0 : , 0 : , 1 : ] ) 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 ) ' % ( ( i , i , len ( r . content . decode ( ' utf - 8 ' ) ) ) success . append ( response . content . decode ( ' utf - 8 ' , ' ignore ' ) ) except exception , e : print e failure + = 1 if i > 3 0 : print e failure + = 1 continue i , s = parse ( r . content . decode ( ' utf - 8 ' , ' ignore ' ) ) print ' \ n ' | |
| 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 _ name ' , type = str , required = true ) parser . add _ argument ( ' - - dataset _ name ' , type = str , default = ' . / data _ dir ' , required = true , help = ' dataset name to train ' ) parser . add _ argument ( ' - - save _ data _ dir ' , type = str , required = true , help = ' directory to save data directory . ' ) parser . add _ | |
| 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 6 , 0 . 9 9 8 , default = 0 . 9 9 , space = ' buy ' , decimals = 3 , optimize = true , load = true ) buy _ bb _ offset _ 6 = decimal parameter ( 0 . 9 8 , 0 . 9 9 9 , default = 0 . 9 8 , space = ' buy ' , decimals | |
| 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>only - check - only - check - only - check - only - check - only - check - only - check - only - check - only - check - only - check - only - check - only - check - only - check - only - check - only - check - only - check - only - check - only - check - only - check - only - check - only - check - only - check - only - check - only - check - only - check - only - check - | |
| 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 <UNK> " , ) side view resolution : bpy . props . float property ( name = " side view resolution " , subtype = ' percentage ' , precision = 0 ) side view resolution : bpy . props . float property ( name = " side view resolution " , subtype = ' percentage ' , precision = 0 ) side view resolution : bpy . props . float property ( name = " side view resolution " , subtype = ' percentage ' , description = " scale view resolution for | |