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tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_nat.py
|
transformer_nat_base
|
def transformer_nat_base():
"""Set of hyperparameters."""
hparams = transformer_nat_small()
hparams.batch_size = 2048
hparams.hidden_size = 512
hparams.filter_size = 4096
hparams.num_hidden_layers = 6
return hparams
|
python
|
def transformer_nat_base():
"""Set of hyperparameters."""
hparams = transformer_nat_small()
hparams.batch_size = 2048
hparams.hidden_size = 512
hparams.filter_size = 4096
hparams.num_hidden_layers = 6
return hparams
|
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Set of hyperparameters.
|
[
"Set",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_nat.py#L411-L418
|
train
|
Set of hyperparameters.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(7438 - 7327) + chr(1625 - 1575) + '\x31' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10 + 0o57) + chr(0b110010) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011000 + 0o27) + chr(52) + chr(0b1101 + 0o43), 37525 - 37517), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + '\063' + '\062' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + '\066' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(0b110100) + chr(0b100111 + 0o20), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10000 + 0o137) + '\065' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(698 - 648) + chr(1075 - 1025) + chr(1487 - 1436), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(2807 - 2753) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(1719 - 1671) + chr(7884 - 7773) + chr(949 - 900) + '\x36' + chr(884 - 834), 51289 - 51281), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + '\x32' + chr(0b110010 + 0o0), 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + chr(0b110001) + chr(0b1101 + 0o51) + chr(1041 - 988), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b100001 + 0o116) + chr(0b110110) + chr(0b11110 + 0o23), 13787 - 13779), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1 + 0o63) + chr(1542 - 1488), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100100 + 0o17) + chr(53) + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(1315 - 1204) + chr(853 - 802) + '\066' + chr(1136 - 1082), ord("\x08")), ehT0Px3KOsy9('\060' + chr(7863 - 7752) + chr(0b110011) + '\064' + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10100 + 0o36) + chr(0b100100 + 0o21) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111011 + 0o64) + '\x32' + '\060' + chr(0b1100 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(501 - 451), 0o10), ehT0Px3KOsy9(chr(2289 - 2241) + '\x6f' + chr(52) + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(983 - 934) + chr(0b110111) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(0b110100) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(124 - 76) + chr(6950 - 6839) + chr(0b100110 + 0o15) + chr(0b110110) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + '\062' + '\061' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + '\x33' + chr(0b110111) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10101 + 0o132) + chr(50) + chr(0b110000 + 0o5) + '\067', 57038 - 57030), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b110101) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8005 - 7894) + chr(0b110001) + chr(0b101011 + 0o6) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110001 + 0o76) + chr(0b110011) + '\x33' + chr(0b110110), 40836 - 40828), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1000111 + 0o50) + '\x31' + chr(0b110111) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1509 - 1461) + chr(5988 - 5877) + chr(0b101 + 0o54) + '\x37' + chr(122 - 74), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\067' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111010 + 0o65) + chr(2001 - 1952) + chr(0b110101) + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(9292 - 9181) + chr(51) + '\060' + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110111) + chr(693 - 645), 6747 - 6739), ehT0Px3KOsy9(chr(1254 - 1206) + chr(0b1001010 + 0o45) + '\062' + '\x32' + chr(0b10100 + 0o41), 0o10), ehT0Px3KOsy9(chr(2078 - 2030) + chr(111) + '\063' + chr(1472 - 1422) + '\062', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1001110 + 0o41) + '\065' + chr(1435 - 1387), 54498 - 54490)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7'), chr(0b100011 + 0o101) + chr(101) + '\143' + '\157' + chr(100) + chr(0b100110 + 0o77))(chr(5580 - 5463) + chr(116) + chr(1329 - 1227) + '\055' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def QohIexPs16GZ():
n4ljua2gi1Pr = AcmCerhucwGr()
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100101 + 0o17) + '\060' + chr(48) + chr(48), 0b1000)
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(980 - 931) + chr(48) + chr(48) + '\060', ord("\x08"))
n4ljua2gi1Pr.deybX8NJ0oEI = ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(458 - 409) + chr(0b100110 + 0o12) + chr(0b110000) + '\x30' + chr(0b100010 + 0o16), ord("\x08"))
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9('\x30' + chr(111) + chr(1267 - 1213), 0b1000)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_nat.py
|
transformer_nat_big
|
def transformer_nat_big():
"""Set of hyperparameters."""
hparams = transformer_nat_small()
hparams.batch_size = 2048
hparams.hidden_size = 1024
hparams.filter_size = 4096
hparams.num_hidden_layers = 6
hparams.num_heads = 16
hparams.layer_prepostprocess_dropout = 0.3
return hparams
|
python
|
def transformer_nat_big():
"""Set of hyperparameters."""
hparams = transformer_nat_small()
hparams.batch_size = 2048
hparams.hidden_size = 1024
hparams.filter_size = 4096
hparams.num_hidden_layers = 6
hparams.num_heads = 16
hparams.layer_prepostprocess_dropout = 0.3
return hparams
|
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"=",
"16",
"hparams",
".",
"layer_prepostprocess_dropout",
"=",
"0.3",
"return",
"hparams"
] |
Set of hyperparameters.
|
[
"Set",
"of",
"hyperparameters",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_nat.py#L422-L431
|
train
|
Set of hyperparameters.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + chr(51) + chr(55) + chr(0b101101 + 0o10), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11101 + 0o24) + '\x37' + '\063', 44000 - 43992), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + '\x31' + '\064' + chr(0b111 + 0o54), 0b1000), ehT0Px3KOsy9(chr(493 - 445) + chr(116 - 5) + '\x31' + chr(0b110000) + chr(2807 - 2754), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(224 - 113) + '\x33' + chr(0b101000 + 0o13) + '\063', 9923 - 9915), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(2115 - 2062) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10001 + 0o40) + chr(0b110010) + chr(0b101000 + 0o11), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\065' + chr(0b110000 + 0o1), 8), ehT0Px3KOsy9('\x30' + chr(5609 - 5498) + chr(2480 - 2430) + '\066' + chr(0b110110), 36619 - 36611), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(7833 - 7722) + chr(52) + chr(54), 41581 - 41573), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\x30' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(848 - 797) + chr(0b110011) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(814 - 765) + chr(50) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(8967 - 8856) + '\061' + '\067' + chr(2721 - 2666), 44948 - 44940), ehT0Px3KOsy9(chr(2009 - 1961) + chr(111) + chr(49) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(8895 - 8784) + chr(0b110011) + chr(52), 46347 - 46339), ehT0Px3KOsy9('\x30' + chr(0b101001 + 0o106) + chr(968 - 917) + '\x34' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1361 - 1313) + chr(11247 - 11136) + chr(437 - 387) + chr(0b110 + 0o52) + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\065' + chr(55), 16008 - 16000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b110000) + chr(0b110101 + 0o2), 10804 - 10796), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(0b10111 + 0o35) + chr(1438 - 1390), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + '\063' + '\066' + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011001 + 0o26) + chr(0b11111 + 0o24) + chr(1918 - 1864) + '\067', 8), ehT0Px3KOsy9(chr(390 - 342) + chr(0b1101111) + '\x32' + chr(51) + chr(2669 - 2615), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + '\061' + chr(55) + chr(1863 - 1815), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9939 - 9828) + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(0b110000) + chr(0b110101), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1289 - 1239) + '\x32' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + '\063' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(1519 - 1466) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b110110) + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(49) + chr(54) + chr(368 - 318), 39463 - 39455), ehT0Px3KOsy9(chr(48) + chr(2091 - 1980) + '\061' + chr(52), 8), ehT0Px3KOsy9(chr(1521 - 1473) + chr(3448 - 3337) + chr(54) + chr(0b11010 + 0o31), 0b1000), ehT0Px3KOsy9(chr(1521 - 1473) + chr(0b1101111) + '\061' + chr(48) + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(55) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b110000) + chr(11956 - 11845) + chr(0b10010 + 0o42), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\063' + chr(0b10110 + 0o32), 43324 - 43316), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(1351 - 1299) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1420 - 1371) + '\x32' + chr(0b101011 + 0o14), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + '\x35' + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3'), chr(100) + chr(7063 - 6962) + chr(99) + '\157' + chr(100) + '\x65')('\x75' + chr(0b1110100) + chr(0b1101 + 0o131) + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def eilBbPGYgaJn():
n4ljua2gi1Pr = AcmCerhucwGr()
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(0b100110 + 0o16) + chr(201 - 153) + chr(0b110000) + '\x30', 0o10)
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9('\x30' + chr(6069 - 5958) + chr(0b10100 + 0o36) + '\x30' + chr(0b110000) + chr(0b110000), ord("\x08"))
n4ljua2gi1Pr.deybX8NJ0oEI = ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b110000) + chr(48) + chr(48) + chr(1141 - 1093), ord("\x08"))
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1101 + 0o51), 0b1000)
n4ljua2gi1Pr.vRVqPOZ1hUG7 = ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(193 - 145), 48725 - 48717)
n4ljua2gi1Pr.RW_xSzp18UeS = 0.3
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/rlax/ppo.py
|
policy_net
|
def policy_net(rng_key,
batch_observations_shape,
num_actions,
bottom_layers=None):
"""A policy net function."""
# Use the bottom_layers as the bottom part of the network and just add the
# required layers on top of it.
if bottom_layers is None:
bottom_layers = []
# NOTE: The LogSoftmax instead of the Softmax.
bottom_layers.extend([layers.Dense(num_actions), layers.LogSoftmax()])
net = layers.Serial(*bottom_layers)
return net.initialize(batch_observations_shape, rng_key), net
|
python
|
def policy_net(rng_key,
batch_observations_shape,
num_actions,
bottom_layers=None):
"""A policy net function."""
# Use the bottom_layers as the bottom part of the network and just add the
# required layers on top of it.
if bottom_layers is None:
bottom_layers = []
# NOTE: The LogSoftmax instead of the Softmax.
bottom_layers.extend([layers.Dense(num_actions), layers.LogSoftmax()])
net = layers.Serial(*bottom_layers)
return net.initialize(batch_observations_shape, rng_key), net
|
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] |
A policy net function.
|
[
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"function",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/rlax/ppo.py#L78-L92
|
train
|
A policy net function.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + '\066' + chr(54), 53994 - 53986), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10001 + 0o44) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(418 - 363) + chr(0b10111 + 0o36), 0o10), ehT0Px3KOsy9(chr(48) + chr(8252 - 8141) + chr(0b1111 + 0o43) + chr(48) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10100 + 0o37) + chr(0b110010) + '\061', 28709 - 28701), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1789 - 1740) + '\x37' + chr(0b110110), 35351 - 35343), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(0b110011) + chr(0b110110) + chr(0b11010 + 0o33), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001100 + 0o43) + chr(0b1010 + 0o47) + '\x32' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + chr(50) + chr(55) + chr(2269 - 2214), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x37' + '\065', 20878 - 20870), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + chr(51) + '\x31' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3354 - 3243) + chr(2301 - 2250) + '\067' + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b10011 + 0o35) + chr(1696 - 1643), ord("\x08")), ehT0Px3KOsy9(chr(698 - 650) + chr(111) + '\x33' + '\066' + chr(0b10100 + 0o36), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b100000 + 0o26) + '\x35', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(201 - 152) + chr(741 - 687) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(765 - 715) + chr(0b10001 + 0o37), 39204 - 39196), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2385 - 2336) + '\060' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\065' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(0b110001) + chr(0b101011 + 0o7) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(9540 - 9429) + chr(671 - 620) + '\x30' + chr(1014 - 966), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010010 + 0o35) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10110 + 0o131) + chr(1354 - 1304) + chr(53) + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(54) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7461 - 7350) + '\x32' + chr(51) + chr(0b100000 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1975 - 1926) + '\067' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1549 - 1501) + '\157' + '\063' + '\x35' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(2246 - 2198) + '\x6f' + '\062' + chr(2614 - 2561) + chr(49), 0o10), ehT0Px3KOsy9(chr(704 - 656) + chr(0b1101111) + chr(0b110011) + '\x37', 50649 - 50641), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(362 - 313) + chr(357 - 306) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1067 - 1012) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + chr(0b110010) + chr(0b100111 + 0o12) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(0b10001 + 0o136) + chr(2388 - 2339) + '\061' + '\060', 0b1000), ehT0Px3KOsy9(chr(444 - 396) + chr(111) + '\x31' + '\x30' + chr(0b101 + 0o57), 14311 - 14303), ehT0Px3KOsy9(chr(1945 - 1897) + chr(0b1101111) + chr(0b10111 + 0o33) + chr(0b110101) + '\064', 0b1000), ehT0Px3KOsy9(chr(1615 - 1567) + '\157' + chr(49) + chr(0b110110) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(0b11000 + 0o32), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010100 + 0o33) + chr(687 - 635) + chr(50), 12778 - 12770), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(54) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(6804 - 6693) + chr(1405 - 1356) + '\067' + chr(534 - 482), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1100010 + 0o15) + chr(53) + '\060', 10829 - 10821)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x18'), chr(0b1100100) + chr(1112 - 1011) + '\143' + '\x6f' + chr(0b1100100) + chr(101))(chr(117) + chr(0b1101100 + 0o10) + '\146' + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def NKypvpcG6BX8(jRtcQfLUFVgU, pjSB7mnHzYyU, R1s2XZR64XJA, jvDu2PLhxOz3=None):
if jvDu2PLhxOz3 is None:
jvDu2PLhxOz3 = []
xafqLlk3kkUe(jvDu2PLhxOz3, xafqLlk3kkUe(SXOLrMavuUCe(b'SR\xc9\xe3\xbf\x1a'), '\144' + chr(0b11100 + 0o111) + chr(99) + '\157' + chr(0b111010 + 0o52) + chr(101))('\165' + '\164' + '\x66' + chr(1760 - 1715) + chr(0b111000)))([xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'rO\xd3\xf5\xb4'), chr(0b1100100) + '\x65' + chr(7367 - 7268) + '\x6f' + '\144' + '\x65')(chr(0b1110101) + '\164' + '\146' + chr(1124 - 1079) + '\070'))(R1s2XZR64XJA), xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'zE\xda\xd5\xbe\x18\x819\xdeE'), chr(9863 - 9763) + chr(101) + '\143' + chr(111) + '\x64' + chr(101))(chr(117) + chr(9780 - 9664) + chr(0b1000 + 0o136) + '\x2d' + chr(1829 - 1773)))()])
DyzboKL9cczb = sGi5Aql23May.Serial(*jvDu2PLhxOz3)
return (xafqLlk3kkUe(DyzboKL9cczb, xafqLlk3kkUe(SXOLrMavuUCe(b'_D\xd4\xf2\xb8\x1f\x99=\xc5X'), chr(100) + chr(9208 - 9107) + '\143' + chr(6653 - 6542) + '\x64' + '\145')(chr(0b11000 + 0o135) + '\x74' + '\x66' + chr(0b11010 + 0o23) + chr(967 - 911)))(pjSB7mnHzYyU, jRtcQfLUFVgU), DyzboKL9cczb)
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/rlax/ppo.py
|
value_net
|
def value_net(rng_key,
batch_observations_shape,
num_actions,
bottom_layers=None):
"""A value net function."""
del num_actions
if bottom_layers is None:
bottom_layers = []
bottom_layers.extend([
layers.Dense(1),
])
net = layers.Serial(*bottom_layers)
return net.initialize(batch_observations_shape, rng_key), net
|
python
|
def value_net(rng_key,
batch_observations_shape,
num_actions,
bottom_layers=None):
"""A value net function."""
del num_actions
if bottom_layers is None:
bottom_layers = []
bottom_layers.extend([
layers.Dense(1),
])
net = layers.Serial(*bottom_layers)
return net.initialize(batch_observations_shape, rng_key), net
|
[
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",",
"batch_observations_shape",
",",
"num_actions",
",",
"bottom_layers",
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"None",
")",
":",
"del",
"num_actions",
"if",
"bottom_layers",
"is",
"None",
":",
"bottom_layers",
"=",
"[",
"]",
"bottom_layers",
".",
"extend",
"(",
"[",
"layers",
".",
"Dense",
"(",
"1",
")",
",",
"]",
")",
"net",
"=",
"layers",
".",
"Serial",
"(",
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"bottom_layers",
")",
"return",
"net",
".",
"initialize",
"(",
"batch_observations_shape",
",",
"rng_key",
")",
",",
"net"
] |
A value net function.
|
[
"A",
"value",
"net",
"function",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/rlax/ppo.py#L95-L108
|
train
|
A value net function.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(52) + '\061', 0o10), ehT0Px3KOsy9(chr(1640 - 1592) + chr(0b1010000 + 0o37) + chr(0b110100) + chr(661 - 613), 27281 - 27273), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2368 - 2319) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(1692 - 1644) + chr(0b101001 + 0o106) + '\061' + '\065' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b101000 + 0o107) + '\x31' + chr(52) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010010 + 0o35) + '\063' + chr(0b110010) + chr(49), 11329 - 11321), ehT0Px3KOsy9('\060' + chr(10859 - 10748) + '\x31' + chr(54) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100111 + 0o10) + chr(0b110011) + chr(1174 - 1125), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(0b100100 + 0o22) + chr(2225 - 2171), 33766 - 33758), ehT0Px3KOsy9(chr(48) + chr(0b110101 + 0o72) + '\061' + chr(48) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100 + 0o143) + '\x32' + chr(0b110001) + chr(0b101010 + 0o10), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110101) + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x37' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(0b1110 + 0o47) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11001 + 0o126) + chr(969 - 920) + chr(0b11110 + 0o24) + chr(0b100001 + 0o21), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11000 + 0o127) + '\x33' + chr(1086 - 1037) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101000 + 0o7) + chr(0b100111 + 0o12) + chr(0b110001) + chr(0b100010 + 0o22), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\x34' + chr(51), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110110) + chr(0b1 + 0o66), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b101 + 0o152) + chr(0b1 + 0o62) + chr(0b100010 + 0o21) + chr(0b100010 + 0o20), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1574 - 1525) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(69 - 21) + chr(308 - 197) + chr(0b110001) + chr(2189 - 2141) + chr(0b0 + 0o62), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b10011 + 0o37) + '\063', 0b1000), ehT0Px3KOsy9(chr(1953 - 1905) + chr(231 - 120) + '\061' + chr(811 - 762), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(55) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(6552 - 6441) + '\x36' + chr(1946 - 1898), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111010 + 0o65) + chr(0b101 + 0o56) + chr(0b110011) + '\066', 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(0b1010 + 0o50) + chr(2074 - 2020) + '\x36', 0o10), ehT0Px3KOsy9(chr(542 - 494) + chr(0b110110 + 0o71) + '\x32' + chr(1863 - 1808) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(6262 - 6151) + '\063' + '\x31' + chr(1693 - 1645), 55354 - 55346), ehT0Px3KOsy9('\x30' + '\x6f' + '\x36' + '\066', 4979 - 4971), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(2813 - 2702) + '\061' + '\x36' + chr(0b100111 + 0o16), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(0b110101) + chr(51), 61974 - 61966), ehT0Px3KOsy9(chr(0b110000) + chr(0b100011 + 0o114) + '\x33' + chr(0b110100) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b11011 + 0o124) + '\x33' + '\063' + chr(270 - 218), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10100 + 0o35) + chr(2723 - 2668) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(233 - 185) + chr(0b1011110 + 0o21) + chr(885 - 835) + chr(0b110100 + 0o3) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(1491 - 1442), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\065' + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f'), chr(0b10101 + 0o117) + '\145' + chr(0b111000 + 0o53) + chr(0b1101111) + '\144' + chr(10070 - 9969))('\x75' + '\x74' + '\146' + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def sgWwYDCYSAH2(jRtcQfLUFVgU, pjSB7mnHzYyU, R1s2XZR64XJA, jvDu2PLhxOz3=None):
del R1s2XZR64XJA
if jvDu2PLhxOz3 is None:
jvDu2PLhxOz3 = []
xafqLlk3kkUe(jvDu2PLhxOz3, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4X~{\x06\x05'), chr(0b10110 + 0o116) + '\145' + '\x63' + chr(0b1100111 + 0o10) + '\x64' + chr(101))('\x75' + '\x74' + chr(4886 - 4784) + '\055' + chr(56)))([xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5Edm\r'), '\x64' + chr(0b1100101) + chr(7667 - 7568) + '\157' + chr(0b101010 + 0o72) + chr(0b101011 + 0o72))(chr(117) + '\x74' + chr(0b100001 + 0o105) + chr(1661 - 1616) + chr(2066 - 2010)))(ehT0Px3KOsy9(chr(1443 - 1395) + '\157' + chr(0b1100 + 0o45), 35576 - 35568))])
DyzboKL9cczb = sGi5Aql23May.Serial(*jvDu2PLhxOz3)
return (xafqLlk3kkUe(DyzboKL9cczb, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8Ncj\x01\x00\xbd\x18c\x93'), chr(0b10001 + 0o123) + '\x65' + chr(4594 - 4495) + '\x6f' + chr(704 - 604) + '\x65')(chr(117) + chr(0b10010 + 0o142) + chr(0b111011 + 0o53) + chr(807 - 762) + chr(0b111000)))(pjSB7mnHzYyU, jRtcQfLUFVgU), DyzboKL9cczb)
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/rlax/ppo.py
|
policy_and_value_net
|
def policy_and_value_net(rng_key,
batch_observations_shape,
num_actions,
bottom_layers=None):
"""A policy and value net function."""
# Layers.
cur_layers = []
if bottom_layers is not None:
cur_layers.extend(bottom_layers)
# Now, with the current logits, one head computes action probabilities and the
# other computes the value function.
# NOTE: The LogSoftmax instead of the Softmax because of numerical stability.
cur_layers.extend([layers.Branch(), layers.Parallel(
layers.Serial(layers.Dense(num_actions), layers.LogSoftmax()),
layers.Dense(1)
)])
net = layers.Serial(*cur_layers)
return net.initialize(batch_observations_shape, rng_key), net
|
python
|
def policy_and_value_net(rng_key,
batch_observations_shape,
num_actions,
bottom_layers=None):
"""A policy and value net function."""
# Layers.
cur_layers = []
if bottom_layers is not None:
cur_layers.extend(bottom_layers)
# Now, with the current logits, one head computes action probabilities and the
# other computes the value function.
# NOTE: The LogSoftmax instead of the Softmax because of numerical stability.
cur_layers.extend([layers.Branch(), layers.Parallel(
layers.Serial(layers.Dense(num_actions), layers.LogSoftmax()),
layers.Dense(1)
)])
net = layers.Serial(*cur_layers)
return net.initialize(batch_observations_shape, rng_key), net
|
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] |
A policy and value net function.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/rlax/ppo.py#L111-L130
|
train
|
A policy and value net function.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(1883 - 1832) + chr(0b1110 + 0o50), 0o10), ehT0Px3KOsy9(chr(1380 - 1332) + '\157' + '\x32' + '\062' + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(0b111100 + 0o63) + '\061' + '\x32' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(249 - 138) + chr(0b10100 + 0o37) + '\063' + chr(0b110010 + 0o0), 58533 - 58525), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(0b110111) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(6786 - 6675) + '\062' + chr(0b110001) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(1030 - 980) + '\067' + chr(0b101 + 0o55), 65058 - 65050), ehT0Px3KOsy9('\060' + chr(8221 - 8110) + chr(0b101101 + 0o4) + chr(0b110110) + chr(113 - 63), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b100001 + 0o116) + chr(51) + '\063' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1001101 + 0o42) + chr(0b110001) + '\060' + '\x36', 0b1000), ehT0Px3KOsy9(chr(728 - 680) + '\157' + chr(1577 - 1526) + '\x31' + chr(1278 - 1230), 4478 - 4470), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2266 - 2216) + chr(1375 - 1324) + '\x33', 52937 - 52929), ehT0Px3KOsy9('\x30' + chr(7983 - 7872) + chr(0b100110 + 0o21) + chr(0b110100 + 0o2), 59808 - 59800), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + '\x35' + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2234 - 2184) + '\x31' + '\x36', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001011 + 0o44) + '\062' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(53) + '\060', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\067' + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(859 - 809) + chr(50) + chr(1335 - 1287), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b110110) + chr(0b1000 + 0o56), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\063' + '\062' + '\x32', 0b1000), ehT0Px3KOsy9(chr(738 - 690) + chr(111) + '\x33' + chr(0b110101) + chr(2081 - 2028), 10352 - 10344), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + '\x33' + chr(0b101010 + 0o10), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(0b11111 + 0o21), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\066', 59860 - 59852), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(0b10100 + 0o36) + chr(1293 - 1238), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\060' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111110 + 0o61) + chr(1241 - 1190) + chr(0b101000 + 0o16) + chr(0b10010 + 0o44), 0o10), ehT0Px3KOsy9(chr(2276 - 2228) + chr(0b1101111) + chr(1148 - 1098) + chr(1253 - 1203), 0o10), ehT0Px3KOsy9(chr(1348 - 1300) + '\x6f' + '\061' + chr(0b1101 + 0o46) + chr(0b101 + 0o62), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b101010 + 0o6) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(1089 - 1041) + '\157' + chr(51) + '\x32' + chr(54), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\066' + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101101 + 0o2) + chr(0b110110) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b10110 + 0o36) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101001 + 0o11) + '\065' + chr(2247 - 2194), 4666 - 4658), ehT0Px3KOsy9('\060' + chr(428 - 317) + chr(51) + chr(0b10011 + 0o35) + chr(927 - 873), 8), ehT0Px3KOsy9(chr(1971 - 1923) + '\x6f' + chr(0b110001) + chr(55) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(0b100100 + 0o113) + chr(2180 - 2130) + chr(0b110101) + chr(0b100100 + 0o23), ord("\x08")), ehT0Px3KOsy9(chr(364 - 316) + chr(111) + chr(0b10001 + 0o41) + '\x35', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110101) + chr(611 - 563), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'p'), chr(100) + chr(0b1000010 + 0o43) + '\x63' + chr(0b101100 + 0o103) + chr(0b1000100 + 0o40) + '\145')(chr(0b1110101) + '\x74' + chr(0b1100110) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def prqd5rhwf9yF(jRtcQfLUFVgU, pjSB7mnHzYyU, R1s2XZR64XJA, jvDu2PLhxOz3=None):
yiNy3ydwXJ5_ = []
if jvDu2PLhxOz3 is not None:
xafqLlk3kkUe(yiNy3ydwXJ5_, xafqLlk3kkUe(SXOLrMavuUCe(b";\xee'\xbf\xd6\xef"), '\144' + chr(101) + chr(99) + chr(6558 - 6447) + chr(6783 - 6683) + chr(101))(chr(117) + chr(10788 - 10672) + '\x66' + chr(1220 - 1175) + chr(56)))(jvDu2PLhxOz3)
xafqLlk3kkUe(yiNy3ydwXJ5_, xafqLlk3kkUe(SXOLrMavuUCe(b";\xee'\xbf\xd6\xef"), chr(0b1100100) + chr(0b1011010 + 0o13) + chr(0b101001 + 0o72) + chr(0b110100 + 0o73) + chr(0b111010 + 0o52) + chr(0b1100101))(chr(117) + chr(0b1010001 + 0o43) + chr(0b1011101 + 0o11) + '\x2d' + chr(0b111000)))([xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c\xe42\xb4\xdb\xe3'), chr(0b1001001 + 0o33) + chr(8483 - 8382) + chr(99) + '\157' + chr(0b1100100) + chr(101))(chr(10239 - 10122) + chr(7230 - 7114) + chr(4215 - 4113) + chr(504 - 459) + chr(0b100011 + 0o25)))(), xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\xf7!\xbb\xd4\xe7\xdf\x1e'), chr(100) + chr(101) + '\x63' + chr(5495 - 5384) + chr(100) + chr(101))(chr(0b1000011 + 0o62) + '\164' + '\x66' + '\x2d' + chr(56)))(xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'\r\xf3!\xb3\xd9\xe7'), chr(100) + chr(0b1100101) + '\x63' + '\157' + chr(0b1101 + 0o127) + chr(0b110110 + 0o57))(chr(117) + chr(1699 - 1583) + chr(0b10100 + 0o122) + chr(1924 - 1879) + chr(0b111000)))(xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a\xf3=\xa9\xdd'), chr(0b1100100) + chr(0b111000 + 0o55) + chr(0b1100011 + 0o0) + chr(0b1101111) + chr(5145 - 5045) + '\x65')('\165' + '\164' + chr(102) + '\x2d' + chr(0b111000)))(R1s2XZR64XJA), xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12\xf94\x89\xd7\xed\xce\x1f\xba>'), '\144' + '\145' + '\143' + '\x6f' + '\144' + '\145')('\165' + chr(11503 - 11387) + '\146' + chr(0b100000 + 0o15) + chr(0b111000)))()), xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a\xf3=\xa9\xdd'), chr(9589 - 9489) + '\145' + '\143' + chr(5684 - 5573) + chr(100) + chr(0b1100101))(chr(117) + '\164' + '\x66' + chr(0b1101 + 0o40) + chr(432 - 376)))(ehT0Px3KOsy9(chr(48) + chr(111) + chr(1597 - 1548), 0b1000)))])
DyzboKL9cczb = sGi5Aql23May.Serial(*yiNy3ydwXJ5_)
return (xafqLlk3kkUe(DyzboKL9cczb, xafqLlk3kkUe(SXOLrMavuUCe(b'7\xf8:\xae\xd1\xea\xd6\x1b\xa1#'), '\144' + chr(101) + chr(99) + '\x6f' + chr(0b1100 + 0o130) + chr(1338 - 1237))('\165' + '\164' + '\x66' + chr(0b101101) + chr(2009 - 1953)))(pjSB7mnHzYyU, jRtcQfLUFVgU), DyzboKL9cczb)
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/rlax/ppo.py
|
log_params
|
def log_params(params, name="params"):
"""Dumps the params with `logging.error`."""
for i, param in enumerate(params):
if not param:
# Empty tuple.
continue
if not isinstance(param, (list, tuple)):
logging.error(
"%s[%d] : (%s) = [%s]", name, i, param.shape, onp.array(param))
else:
for j, p in enumerate(param):
logging.error(
"\t%s[%d, %d] = [%s]", name, i, j, onp.array(p))
|
python
|
def log_params(params, name="params"):
"""Dumps the params with `logging.error`."""
for i, param in enumerate(params):
if not param:
# Empty tuple.
continue
if not isinstance(param, (list, tuple)):
logging.error(
"%s[%d] : (%s) = [%s]", name, i, param.shape, onp.array(param))
else:
for j, p in enumerate(param):
logging.error(
"\t%s[%d, %d] = [%s]", name, i, j, onp.array(p))
|
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] |
Dumps the params with `logging.error`.
|
[
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"logging",
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"error",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/rlax/ppo.py#L140-L152
|
train
|
Dumps the params with logging. error.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(4608 - 4497) + chr(50) + chr(1051 - 1003) + chr(0b110010), 62200 - 62192), ehT0Px3KOsy9(chr(0b110000) + chr(8564 - 8453) + '\063' + chr(0b10000 + 0o43) + chr(0b100010 + 0o20), 14531 - 14523), ehT0Px3KOsy9(chr(0b110000) + chr(5212 - 5101) + chr(2124 - 2074) + chr(0b100111 + 0o11) + chr(0b101010 + 0o12), 49223 - 49215), ehT0Px3KOsy9('\x30' + chr(111) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(0b110010) + '\x33' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(7055 - 6944) + '\x37' + '\x34', 54850 - 54842), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(1358 - 1308) + chr(0b101101 + 0o10) + chr(0b101110 + 0o7), 53339 - 53331), ehT0Px3KOsy9(chr(967 - 919) + chr(0b1101111) + chr(1701 - 1649) + chr(0b1111 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(889 - 841) + chr(111) + chr(2572 - 2521) + chr(51) + chr(0b1100 + 0o47), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\062' + '\x30', 40808 - 40800), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(0b100110 + 0o13) + '\x31' + chr(48), 0b1000), ehT0Px3KOsy9(chr(1766 - 1718) + chr(111) + '\x32' + '\065' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000100 + 0o53) + chr(1617 - 1566) + chr(1835 - 1780) + '\065', 59971 - 59963), ehT0Px3KOsy9('\060' + chr(0b101010 + 0o105) + chr(0b100010 + 0o17) + chr(1046 - 997) + '\062', 9971 - 9963), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11100 + 0o26) + '\065' + '\062', 8), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(389 - 336) + chr(0b1010 + 0o47), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011 + 0o144) + '\x35' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3348 - 3237) + chr(2119 - 2069) + chr(1547 - 1499) + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(4925 - 4814) + chr(0b110011) + chr(0b1110 + 0o51) + chr(0b11110 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9265 - 9154) + chr(50) + chr(1565 - 1511) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b110001) + chr(2828 - 2773), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1294 - 1244) + chr(55) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(944 - 894) + '\060' + '\x30', 36907 - 36899), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010110 + 0o31) + chr(0b110010) + '\x30' + chr(0b1110 + 0o50), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + '\063' + chr(1297 - 1245) + chr(0b100000 + 0o20), 0o10), ehT0Px3KOsy9('\x30' + chr(6584 - 6473) + chr(0b110001) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10011 + 0o37) + chr(0b10 + 0o56), 20771 - 20763), ehT0Px3KOsy9(chr(432 - 384) + chr(0b1 + 0o156) + '\062' + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(11802 - 11691) + chr(51 - 0) + chr(0b10 + 0o65), 0o10), ehT0Px3KOsy9(chr(714 - 666) + '\x6f' + chr(918 - 869) + chr(0b100101 + 0o17) + chr(50), 44233 - 44225), ehT0Px3KOsy9(chr(48) + chr(0b1101011 + 0o4) + '\063' + chr(0b110100) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + '\063' + chr(48) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(342 - 291), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(53) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\064' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + '\063' + chr(55) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10001 + 0o136) + '\061' + chr(0b110110 + 0o0) + chr(0b1000 + 0o52), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + chr(72 - 19) + chr(0b110101 + 0o1), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100101 + 0o15) + chr(0b10010 + 0o37) + chr(55), 39760 - 39752)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2210 - 2162) + '\x6f' + '\x35' + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xac'), '\144' + '\145' + chr(0b111101 + 0o46) + '\157' + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b1101110 + 0o6) + '\146' + chr(406 - 361) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ioXiyb__Hwuc(nEbJZ4wfte2w, AIvJRzLdDfgF=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\xbb\xf6d\xf2O'), '\144' + chr(9449 - 9348) + chr(0b1011110 + 0o5) + chr(0b100100 + 0o113) + chr(100) + chr(101))('\x75' + chr(116) + '\146' + chr(1319 - 1274) + chr(2815 - 2759))):
for (WVxHKyX45z_L, NOaGA2BHucaX) in YlkZvXL8qwsX(nEbJZ4wfte2w):
if not NOaGA2BHucaX:
continue
if not PlSM16l2KDPD(NOaGA2BHucaX, (YyaZ4tpXu4lf, KNyTy8rYcwji)):
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\x8f\xe0U\xfeH\xe2q\xea\xa70\x9a'), chr(0b1100100) + chr(0b101010 + 0o73) + chr(0b1000010 + 0o41) + chr(111) + chr(0b1100000 + 0o4) + chr(0b101 + 0o140))(chr(0b1110101) + '\164' + chr(102) + chr(45) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7\xa9\xdf \xfba\x8d\x18\xfb\xf8m\xd9\xd4j\x97\tv\xa2n\xa3'), chr(0b100001 + 0o103) + '\x65' + chr(99) + '\157' + chr(100) + chr(101))(chr(0b111100 + 0o71) + chr(116) + chr(0b1100110) + '\055' + chr(0b111000)), AIvJRzLdDfgF, WVxHKyX45z_L, xafqLlk3kkUe(NOaGA2BHucaX, xafqLlk3kkUe(SXOLrMavuUCe(b'\xec\xbb\xf1\\\xf9p\xcaN\x8f\xa0+\xc8'), chr(100) + chr(101) + chr(99) + '\157' + chr(6685 - 6585) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(102) + chr(1082 - 1037) + '\x38')), xafqLlk3kkUe(E84IQ9WvC5Je, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\xea\xe1U\xdbT\xddS\xa3\x9e}\xc4'), chr(5902 - 5802) + '\x65' + chr(99) + chr(111) + '\x64' + '\145')(chr(0b1001000 + 0o55) + chr(0b101011 + 0o111) + '\x66' + '\055' + chr(0b100110 + 0o22)))(NOaGA2BHucaX))
else:
for (tlORBuYsiw3X, UyakMW2IMFEj) in YlkZvXL8qwsX(NOaGA2BHucaX):
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\x8f\xe0U\xfeH\xe2q\xea\xa70\x9a'), '\144' + chr(101) + '\x63' + chr(3009 - 2898) + chr(3294 - 3194) + chr(101))(chr(0b1110101) + chr(0b1001110 + 0o46) + chr(0b1011 + 0o133) + chr(0b101 + 0o50) + chr(213 - 157)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\xff\xf7^\xbaX\x81\x02\xfe\xb4\x15\x8a\xc0j\xf1\x0c^\xda'), '\144' + '\x65' + chr(0b101000 + 0o73) + chr(4131 - 4020) + chr(0b1100100) + chr(101))(chr(210 - 93) + chr(0b111100 + 0o70) + '\146' + chr(1100 - 1055) + chr(0b111000)), AIvJRzLdDfgF, WVxHKyX45z_L, tlORBuYsiw3X, xafqLlk3kkUe(E84IQ9WvC5Je, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\xea\xe1U\xdbT\xddS\xa3\x9e}\xc4'), chr(6689 - 6589) + chr(0b1100101) + chr(0b100001 + 0o102) + '\157' + chr(3271 - 3171) + '\x65')(chr(0b100011 + 0o122) + chr(4050 - 3934) + chr(0b111000 + 0o56) + chr(45) + '\x38'))(UyakMW2IMFEj))
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/rlax/ppo.py
|
collect_trajectories
|
def collect_trajectories(env,
policy_fun,
num_trajectories=1,
policy="greedy",
max_timestep=None,
epsilon=0.1):
"""Collect trajectories with the given policy net and behaviour.
Args:
env: A gym env interface, for now this is not-batched.
policy_fun: observations(B,T+1) -> log-probabs(B,T+1, A) callable.
num_trajectories: int, number of trajectories.
policy: string, "greedy", "epsilon-greedy", or "categorical-sampling" i.e.
how to use the policy_fun to return an action.
max_timestep: int or None, the index of the maximum time-step at which we
return the trajectory, None for ending a trajectory only when env
returns done.
epsilon: float, the epsilon for `epsilon-greedy` policy.
Returns:
trajectory: list of (observation, action, reward) tuples, where each element
`i` is a tuple of numpy arrays with shapes as follows:
observation[i] = (B, T_i + 1)
action[i] = (B, T_i)
reward[i] = (B, T_i)
"""
trajectories = []
for t in range(num_trajectories):
t_start = time.time()
rewards = []
actions = []
done = False
observation = env.reset()
# This is currently shaped (1, 1) + OBS, but new observations will keep
# getting added to it, making it eventually (1, T+1) + OBS
observation_history = observation[np.newaxis, np.newaxis, :]
# Run either till we're done OR if max_timestep is defined only till that
# timestep.
ts = 0
while ((not done) and
(not max_timestep or observation_history.shape[1] < max_timestep)):
ts_start = time.time()
# Run the policy, to pick an action, shape is (1, t, A) because
# observation_history is shaped (1, t) + OBS
predictions = policy_fun(observation_history)
# We need the predictions for the last time-step, so squeeze the batch
# dimension and take the last time-step.
predictions = np.squeeze(predictions, axis=0)[-1]
# Policy can be run in one of the following ways:
# - Greedy
# - Epsilon-Greedy
# - Categorical-Sampling
action = None
if policy == "greedy":
action = np.argmax(predictions)
elif policy == "epsilon-greedy":
# A schedule for epsilon is 1/k where k is the episode number sampled.
if onp.random.random() < epsilon:
# Choose an action at random.
action = onp.random.randint(0, high=len(predictions))
else:
# Return the best action.
action = np.argmax(predictions)
elif policy == "categorical-sampling":
# NOTE: The predictions aren't probabilities but log-probabilities
# instead, since they were computed with LogSoftmax.
# So just np.exp them to make them probabilities.
predictions = np.exp(predictions)
action = onp.argwhere(onp.random.multinomial(1, predictions) == 1)
else:
raise ValueError("Unknown policy: %s" % policy)
# NOTE: Assumption, single batch.
try:
action = int(action)
except TypeError as err:
# Let's dump some information before we die off.
logging.error("Cannot convert action into an integer: [%s]", err)
logging.error("action.shape: [%s]", action.shape)
logging.error("action: [%s]", action)
logging.error("predictions.shape: [%s]", predictions.shape)
logging.error("predictions: [%s]", predictions)
logging.error("observation_history: [%s]", observation_history)
raise err
observation, reward, done, _ = env.step(action)
# observation is of shape OBS, so add extra dims and concatenate on the
# time dimension.
observation_history = np.concatenate(
[observation_history, observation[np.newaxis, np.newaxis, :]], axis=1)
rewards.append(reward)
actions.append(action)
ts += 1
logging.vlog(
2, " Collected time-step[ %5d] of trajectory[ %5d] in [%0.2f] msec.",
ts, t, get_time(ts_start))
logging.vlog(
2, " Collected trajectory[ %5d] in [%0.2f] msec.", t, get_time(t_start))
# This means we are done we're been terminated early.
assert done or (
max_timestep and max_timestep >= observation_history.shape[1])
# observation_history is (1, T+1) + OBS, lets squeeze out the batch dim.
observation_history = np.squeeze(observation_history, axis=0)
trajectories.append(
(observation_history, np.stack(actions), np.stack(rewards)))
return trajectories
|
python
|
def collect_trajectories(env,
policy_fun,
num_trajectories=1,
policy="greedy",
max_timestep=None,
epsilon=0.1):
"""Collect trajectories with the given policy net and behaviour.
Args:
env: A gym env interface, for now this is not-batched.
policy_fun: observations(B,T+1) -> log-probabs(B,T+1, A) callable.
num_trajectories: int, number of trajectories.
policy: string, "greedy", "epsilon-greedy", or "categorical-sampling" i.e.
how to use the policy_fun to return an action.
max_timestep: int or None, the index of the maximum time-step at which we
return the trajectory, None for ending a trajectory only when env
returns done.
epsilon: float, the epsilon for `epsilon-greedy` policy.
Returns:
trajectory: list of (observation, action, reward) tuples, where each element
`i` is a tuple of numpy arrays with shapes as follows:
observation[i] = (B, T_i + 1)
action[i] = (B, T_i)
reward[i] = (B, T_i)
"""
trajectories = []
for t in range(num_trajectories):
t_start = time.time()
rewards = []
actions = []
done = False
observation = env.reset()
# This is currently shaped (1, 1) + OBS, but new observations will keep
# getting added to it, making it eventually (1, T+1) + OBS
observation_history = observation[np.newaxis, np.newaxis, :]
# Run either till we're done OR if max_timestep is defined only till that
# timestep.
ts = 0
while ((not done) and
(not max_timestep or observation_history.shape[1] < max_timestep)):
ts_start = time.time()
# Run the policy, to pick an action, shape is (1, t, A) because
# observation_history is shaped (1, t) + OBS
predictions = policy_fun(observation_history)
# We need the predictions for the last time-step, so squeeze the batch
# dimension and take the last time-step.
predictions = np.squeeze(predictions, axis=0)[-1]
# Policy can be run in one of the following ways:
# - Greedy
# - Epsilon-Greedy
# - Categorical-Sampling
action = None
if policy == "greedy":
action = np.argmax(predictions)
elif policy == "epsilon-greedy":
# A schedule for epsilon is 1/k where k is the episode number sampled.
if onp.random.random() < epsilon:
# Choose an action at random.
action = onp.random.randint(0, high=len(predictions))
else:
# Return the best action.
action = np.argmax(predictions)
elif policy == "categorical-sampling":
# NOTE: The predictions aren't probabilities but log-probabilities
# instead, since they were computed with LogSoftmax.
# So just np.exp them to make them probabilities.
predictions = np.exp(predictions)
action = onp.argwhere(onp.random.multinomial(1, predictions) == 1)
else:
raise ValueError("Unknown policy: %s" % policy)
# NOTE: Assumption, single batch.
try:
action = int(action)
except TypeError as err:
# Let's dump some information before we die off.
logging.error("Cannot convert action into an integer: [%s]", err)
logging.error("action.shape: [%s]", action.shape)
logging.error("action: [%s]", action)
logging.error("predictions.shape: [%s]", predictions.shape)
logging.error("predictions: [%s]", predictions)
logging.error("observation_history: [%s]", observation_history)
raise err
observation, reward, done, _ = env.step(action)
# observation is of shape OBS, so add extra dims and concatenate on the
# time dimension.
observation_history = np.concatenate(
[observation_history, observation[np.newaxis, np.newaxis, :]], axis=1)
rewards.append(reward)
actions.append(action)
ts += 1
logging.vlog(
2, " Collected time-step[ %5d] of trajectory[ %5d] in [%0.2f] msec.",
ts, t, get_time(ts_start))
logging.vlog(
2, " Collected trajectory[ %5d] in [%0.2f] msec.", t, get_time(t_start))
# This means we are done we're been terminated early.
assert done or (
max_timestep and max_timestep >= observation_history.shape[1])
# observation_history is (1, T+1) + OBS, lets squeeze out the batch dim.
observation_history = np.squeeze(observation_history, axis=0)
trajectories.append(
(observation_history, np.stack(actions), np.stack(rewards)))
return trajectories
|
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] |
Collect trajectories with the given policy net and behaviour.
Args:
env: A gym env interface, for now this is not-batched.
policy_fun: observations(B,T+1) -> log-probabs(B,T+1, A) callable.
num_trajectories: int, number of trajectories.
policy: string, "greedy", "epsilon-greedy", or "categorical-sampling" i.e.
how to use the policy_fun to return an action.
max_timestep: int or None, the index of the maximum time-step at which we
return the trajectory, None for ending a trajectory only when env
returns done.
epsilon: float, the epsilon for `epsilon-greedy` policy.
Returns:
trajectory: list of (observation, action, reward) tuples, where each element
`i` is a tuple of numpy arrays with shapes as follows:
observation[i] = (B, T_i + 1)
action[i] = (B, T_i)
reward[i] = (B, T_i)
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/rlax/ppo.py#L159-L275
|
train
|
Collect trajectories with the given policy net and behaviour.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(111) + chr(1167 - 1118) + '\061' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10633 - 10522) + chr(0b11110 + 0o31) + chr(52), 56967 - 56959), ehT0Px3KOsy9(chr(48) + chr(0b1100011 + 0o14) + '\x35' + chr(0b0 + 0o64), 44744 - 44736), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(0b110100) + chr(49), 154 - 146), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(1080 - 1025) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(0b100010 + 0o115) + '\061' + '\062' + chr(1934 - 1886), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(54) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(0b110100) + '\x37', 15741 - 15733), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1717 - 1666) + chr(0b110100 + 0o2) + chr(422 - 369), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(761 - 711) + chr(1337 - 1284) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011 + 0o144) + chr(0b10010 + 0o37) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(849 - 799) + chr(54) + chr(54), 50984 - 50976), ehT0Px3KOsy9(chr(650 - 602) + chr(111) + chr(0b110001) + chr(0b100110 + 0o17), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10100 + 0o35) + chr(0b110001) + chr(0b110111), 8), ehT0Px3KOsy9('\x30' + chr(374 - 263) + chr(1431 - 1380) + chr(0b110100) + chr(55), 13463 - 13455), ehT0Px3KOsy9('\060' + '\157' + '\064' + '\060', 41241 - 41233), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011000 + 0o27) + chr(932 - 881) + '\x37' + chr(0b100 + 0o62), 58910 - 58902), ehT0Px3KOsy9(chr(1368 - 1320) + '\x6f' + '\x31' + chr(0b100010 + 0o25) + chr(0b11101 + 0o30), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1505 - 1456) + chr(53) + chr(0b10100 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b101010 + 0o105) + chr(0b10001 + 0o40) + chr(52) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(0b10100 + 0o133) + '\067' + chr(236 - 188), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10111 + 0o33) + chr(49) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(9306 - 9195) + '\x32' + '\x36' + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(0b110111), 43471 - 43463), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\064' + chr(1402 - 1348), 8), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + '\063' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + chr(51) + '\x30' + '\060', 41118 - 41110), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(0b110010) + chr(0b10100 + 0o42), 62068 - 62060), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(9366 - 9255) + chr(131 - 81) + chr(2804 - 2750) + chr(595 - 544), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7582 - 7471) + chr(0b110001) + chr(54) + '\064', 50303 - 50295), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(49) + chr(0b110000) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\063' + chr(0b110011 + 0o3), 15507 - 15499), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + chr(0b110011) + chr(0b11111 + 0o30) + '\066', 8), ehT0Px3KOsy9('\x30' + chr(0b1011101 + 0o22) + chr(0b110010) + chr(296 - 245), 0o10), ehT0Px3KOsy9(chr(1175 - 1127) + chr(0b1101111) + '\x33' + chr(49) + chr(0b10100 + 0o40), 2875 - 2867), ehT0Px3KOsy9(chr(0b110000) + chr(0b110001 + 0o76) + chr(0b110001) + chr(51) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b11 + 0o63) + chr(0b11101 + 0o25), 26612 - 26604), ehT0Px3KOsy9(chr(1556 - 1508) + '\x6f' + '\x37', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100111 + 0o13) + chr(955 - 907) + chr(1611 - 1558), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + chr(53) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'a'), chr(100) + chr(8010 - 7909) + chr(99) + chr(7470 - 7359) + chr(100) + chr(0b1100101))('\165' + chr(0b1011 + 0o151) + chr(10291 - 10189) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def v03R7n4_R5i4(xzsHIGfR8Ip5, TCSq_9xTrILT, BfCNMS_GrohV=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061', 0o10), s617wIX8Hbiy=xafqLlk3kkUe(SXOLrMavuUCe(b'(NI\x84\x9b)'), '\x64' + '\x65' + '\143' + chr(111) + chr(0b1100100) + '\x65')('\165' + chr(0b1110100) + '\146' + '\055' + '\x38'), ryDEkWyGRmeN=None, Xtig2zAKpR0T=0.1):
EsM0Tb0l_6OT = []
for YeT3l7JgTbWR in vQr8gNKaIaWE(BfCNMS_GrohV):
nbQOMAv_gBq9 = ltvhPP4VhXre.time()
yrDfr6ll4Ijz = []
WCl6VUkME_8I = []
Ki86oC9WfglU = ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(0b11010 + 0o26), 0b1000)
mKQm526a9xSD = xzsHIGfR8Ip5.reset()
G0kiTcQF84ng = mKQm526a9xSD[WqUC3KWvYVup.newaxis, WqUC3KWvYVup.newaxis, :]
vRr8KUuV1pxu = ehT0Px3KOsy9(chr(416 - 368) + chr(9987 - 9876) + chr(48), 8)
while not Ki86oC9WfglU and (not ryDEkWyGRmeN or xafqLlk3kkUe(G0kiTcQF84ng, xafqLlk3kkUe(SXOLrMavuUCe(b'!]Y\xb8\x99\x1cP\xcb\xa1\xdfi\xd4'), '\144' + chr(0b1100101) + chr(99) + chr(111) + chr(0b11111 + 0o105) + chr(0b1011101 + 0o10))(chr(0b101010 + 0o113) + '\164' + chr(102) + chr(0b101101) + '\x38'))[ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31', 8)] < ryDEkWyGRmeN):
fk_Idfwj9wEB = ltvhPP4VhXre.time()
qIQi_VFCIFZL = TCSq_9xTrILT(G0kiTcQF84ng)
qIQi_VFCIFZL = WqUC3KWvYVup.squeeze(qIQi_VFCIFZL, axis=ehT0Px3KOsy9('\060' + chr(0b1101000 + 0o7) + chr(1683 - 1635), 8))[-ehT0Px3KOsy9('\060' + '\157' + chr(49), 8)]
vyskHDXig6uT = None
if s617wIX8Hbiy == xafqLlk3kkUe(SXOLrMavuUCe(b'(NI\x84\x9b)'), chr(0b11001 + 0o113) + chr(0b1001110 + 0o27) + '\143' + '\x6f' + '\x64' + '\145')(chr(1979 - 1862) + '\x74' + chr(102) + chr(45) + chr(56)):
vyskHDXig6uT = WqUC3KWvYVup.argmax(qIQi_VFCIFZL)
elif s617wIX8Hbiy == xafqLlk3kkUe(SXOLrMavuUCe(b'*L_\x88\x93?Y\x8a\x92\xddo\xd3i6'), '\144' + chr(0b111100 + 0o51) + chr(99) + '\157' + '\144' + chr(0b1010 + 0o133))(chr(0b1110101) + chr(12403 - 12287) + chr(0b1100110 + 0o0) + chr(45) + chr(0b110 + 0o62)):
if xafqLlk3kkUe(E84IQ9WvC5Je.random, xafqLlk3kkUe(SXOLrMavuUCe(b'+NT\x96\xcfiv\xc3\xa7\xcbi\xdf'), chr(7153 - 7053) + chr(0b10101 + 0o120) + '\143' + chr(0b1100000 + 0o17) + chr(0b1011110 + 0o6) + chr(3844 - 3743))('\x75' + chr(0b1011111 + 0o25) + chr(9676 - 9574) + chr(0b101101) + chr(0b100101 + 0o23)))() < Xtig2zAKpR0T:
vyskHDXig6uT = E84IQ9WvC5Je.random.randint(ehT0Px3KOsy9(chr(650 - 602) + chr(3373 - 3262) + chr(0b110000), 8), high=c2A0yzQpDQB3(qIQi_VFCIFZL))
else:
vyskHDXig6uT = WqUC3KWvYVup.argmax(qIQi_VFCIFZL)
elif s617wIX8Hbiy == xafqLlk3kkUe(SXOLrMavuUCe(b',]X\x84\x98?E\xce\x96\xcef\x9b~.\x8aP\x92\x14\x03\x01'), chr(0b110 + 0o136) + chr(8948 - 8847) + chr(0b1100011) + chr(111) + chr(7433 - 7333) + chr(5227 - 5126))(chr(0b1000000 + 0o65) + '\x74' + '\146' + '\x2d' + '\x38'):
qIQi_VFCIFZL = WqUC3KWvYVup.exp(qIQi_VFCIFZL)
vyskHDXig6uT = E84IQ9WvC5Je.argwhere(E84IQ9WvC5Je.random.multinomial(ehT0Px3KOsy9('\x30' + chr(111) + '\061', 8), qIQi_VFCIFZL) == ehT0Px3KOsy9('\060' + '\x6f' + '\061', 8))
else:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b"\x1aRG\x8f\x90'Y\x87\x85\xc0f\xdfn6\xdd\x00\xdb\x0e"), chr(0b1100100) + '\145' + chr(6053 - 5954) + chr(0b101010 + 0o105) + chr(7094 - 6994) + chr(859 - 758))('\x75' + chr(0b100110 + 0o116) + chr(0b1100110) + chr(0b101101) + '\x38') % s617wIX8Hbiy)
try:
vyskHDXig6uT = ehT0Px3KOsy9(vyskHDXig6uT)
except sznFqDbNBHlx as n8HlHl2rqNTp:
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\niH\xb1\x9e$x\xf4\xc4\xd8r\x86'), chr(0b1100100) + chr(6146 - 6045) + chr(0b100110 + 0o75) + chr(0b1101111) + chr(0b1100100) + chr(101))('\165' + chr(10389 - 10273) + chr(0b1100110) + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b"\x0c]B\x8f\x90$\x17\xc4\x9a\xc1|\xd3\x7f;\xc7A\x9d\t\x04\tf\x18\xe6\xd8s\t<\xa1\xb8\x93\x1d.\xea\x9bt\xa9/\xc8'\xdejOq"), chr(0b1100001 + 0o3) + chr(0b1010000 + 0o25) + chr(99) + chr(0b110000 + 0o77) + chr(100) + chr(7977 - 7876))(chr(117) + '\164' + '\146' + chr(45) + chr(56)), n8HlHl2rqNTp)
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\niH\xb1\x9e$x\xf4\xc4\xd8r\x86'), chr(100) + '\x65' + '\143' + '\157' + chr(3330 - 3230) + '\145')(chr(10770 - 10653) + '\164' + chr(0b1100110) + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'._X\x88\x90>\x19\xd4\x9d\xcez\xd37o\xbc\x05\x8d '), chr(100) + chr(101) + '\x63' + chr(111) + chr(0b10000 + 0o124) + chr(5279 - 5178))(chr(0b1110101) + chr(0b10111 + 0o135) + chr(0b1100110) + chr(0b1 + 0o54) + chr(0b10001 + 0o47)), xafqLlk3kkUe(vyskHDXig6uT, xafqLlk3kkUe(SXOLrMavuUCe(b'!]Y\xb8\x99\x1cP\xcb\xa1\xdfi\xd4'), chr(0b1001101 + 0o27) + '\x65' + chr(99) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(10376 - 10259) + chr(116) + '\146' + '\x2d' + chr(2924 - 2868))))
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\niH\xb1\x9e$x\xf4\xc4\xd8r\x86'), chr(4490 - 4390) + '\145' + chr(99) + '\157' + '\144' + '\145')(chr(0b1110101) + '\164' + chr(0b1000100 + 0o42) + chr(874 - 829) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'._X\x88\x90>\r\x87\xae\x8ay\xeb'), '\x64' + chr(101) + chr(99) + '\x6f' + chr(9163 - 9063) + '\145')(chr(2534 - 2417) + chr(0b1110100) + '\x66' + chr(45) + '\070'), vyskHDXig6uT)
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\niH\xb1\x9e$x\xf4\xc4\xd8r\x86'), '\144' + '\145' + chr(0b1100011) + '\x6f' + chr(1674 - 1574) + chr(101))(chr(117) + chr(0b11110 + 0o126) + chr(0b111001 + 0o55) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b"?NI\x85\x963C\xce\x9a\xc1y\x98~'\x86P\x9bGM=-K\xd2"), '\144' + chr(101) + chr(2219 - 2120) + '\x6f' + chr(2887 - 2787) + chr(0b1011000 + 0o15))('\x75' + chr(0b1001011 + 0o51) + chr(0b110001 + 0o65) + chr(0b101101) + '\x38'), xafqLlk3kkUe(qIQi_VFCIFZL, xafqLlk3kkUe(SXOLrMavuUCe(b'!]Y\xb8\x99\x1cP\xcb\xa1\xdfi\xd4'), chr(1503 - 1403) + chr(0b1011010 + 0o13) + '\143' + '\x6f' + chr(0b1100100) + chr(0b111100 + 0o51))(chr(0b1110101) + chr(0b10011 + 0o141) + '\x66' + chr(0b100111 + 0o6) + chr(56))))
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\niH\xb1\x9e$x\xf4\xc4\xd8r\x86'), chr(0b100110 + 0o76) + '\x65' + chr(0b1000110 + 0o35) + chr(111) + chr(0b1100 + 0o130) + chr(0b1100101))('\165' + chr(0b1110011 + 0o1) + chr(0b1000101 + 0o41) + '\x2d' + chr(1778 - 1722)))(xafqLlk3kkUe(SXOLrMavuUCe(b'?NI\x85\x963C\xce\x9a\xc1y\x8c-\x14\xc2S\xa3'), '\144' + '\145' + '\x63' + '\x6f' + chr(8258 - 8158) + '\145')(chr(117) + chr(965 - 849) + chr(0b10011 + 0o123) + chr(0b101101) + chr(56)), qIQi_VFCIFZL)
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\niH\xb1\x9e$x\xf4\xc4\xd8r\x86'), '\144' + '\x65' + '\143' + chr(0b1001 + 0o146) + chr(8866 - 8766) + chr(101))('\x75' + chr(219 - 103) + chr(102) + chr(45) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b' ^_\x84\x8d&V\xd3\x9c\xc0d\xe9e&\x94T\x91\x0f\x14\\(c\xaa\xc5Z'), '\144' + chr(0b1100101) + chr(99) + chr(111) + '\144' + '\145')(chr(0b110110 + 0o77) + '\164' + chr(0b1100110) + chr(0b100 + 0o51) + chr(56)), G0kiTcQF84ng)
raise n8HlHl2rqNTp
(mKQm526a9xSD, jEXsEsgeguP4, Ki86oC9WfglU, VNGQdHSFPrso) = xzsHIGfR8Ip5.kDuFsAhEatcU(vyskHDXig6uT)
G0kiTcQF84ng = WqUC3KWvYVup.concatenate([G0kiTcQF84ng, mKQm526a9xSD[WqUC3KWvYVup.newaxis, WqUC3KWvYVup.newaxis, :]], axis=ehT0Px3KOsy9('\060' + chr(9590 - 9479) + chr(0b10000 + 0o41), 8))
xafqLlk3kkUe(yrDfr6ll4Ijz, xafqLlk3kkUe(SXOLrMavuUCe(b'.L\\\x84\x914'), chr(9809 - 9709) + chr(0b101110 + 0o67) + '\x63' + chr(1204 - 1093) + chr(100) + chr(0b100010 + 0o103))(chr(8147 - 8030) + '\164' + chr(102) + chr(1860 - 1815) + '\070'))(jEXsEsgeguP4)
xafqLlk3kkUe(WCl6VUkME_8I, xafqLlk3kkUe(SXOLrMavuUCe(b'.L\\\x84\x914'), chr(100) + chr(0b101111 + 0o66) + chr(0b1100011) + chr(0b110100 + 0o73) + '\x64' + chr(101))('\x75' + '\x74' + chr(2342 - 2240) + '\x2d' + chr(56)))(vyskHDXig6uT)
vRr8KUuV1pxu += ehT0Px3KOsy9('\x30' + '\157' + chr(0b10110 + 0o33), 8)
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'9PC\x86'), chr(0b1100100) + chr(101) + chr(3918 - 3819) + chr(111) + chr(0b0 + 0o144) + '\145')(chr(0b1110101) + '\164' + chr(102) + chr(0b11100 + 0o21) + chr(0b10000 + 0o50)))(ehT0Px3KOsy9(chr(1240 - 1192) + chr(3605 - 3494) + chr(50), 0o10), xafqLlk3kkUe(SXOLrMavuUCe(b'o\x1co\x8e\x93<R\xc4\x81\xcan\x96y&\x8aE\xd3\x0e\x19\x03xc\xaf\x932\x02A\xe0\xb9\xd5T4\xec\x9fy\xa9>\x86h\xf76g\x0c\xc4\xca4j\x87\x9c\xc1*\xed(\x7f\xc9\x12\x98 M\x0b{]\xec\x98'), chr(7653 - 7553) + chr(0b0 + 0o145) + '\143' + chr(0b1101111) + '\x64' + chr(0b1000100 + 0o41))(chr(0b1001101 + 0o50) + chr(116) + chr(0b100100 + 0o102) + chr(0b10100 + 0o31) + chr(56)), vRr8KUuV1pxu, YeT3l7JgTbWR, nclLfZ2jxvI_(fk_Idfwj9wEB))
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'9PC\x86'), chr(0b1100100) + chr(101) + '\143' + '\x6f' + '\144' + '\145')('\165' + chr(116) + chr(0b11100 + 0o112) + chr(45) + '\070'))(ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b111101 + 0o62) + chr(0b101110 + 0o4), 8), xafqLlk3kkUe(SXOLrMavuUCe(b"o\x7fC\x8d\x935T\xd3\x90\xcb*\xc2\x7f.\x8dE\x9d\t\x02\x14qc\xaf\x932\x02A\xe0\xbf\xddT\x1b\xbb\xce=\xfe;\xaf'\xe8<YO\xcf"), '\144' + chr(0b1100101) + chr(99) + '\x6f' + chr(100) + chr(7910 - 7809))(chr(0b1110101) + chr(3374 - 3258) + chr(102) + chr(0b101101) + chr(0b110000 + 0o10)), YeT3l7JgTbWR, nclLfZ2jxvI_(nbQOMAv_gBq9))
assert Ki86oC9WfglU or (ryDEkWyGRmeN and ryDEkWyGRmeN >= xafqLlk3kkUe(G0kiTcQF84ng, xafqLlk3kkUe(SXOLrMavuUCe(b'!]Y\xb8\x99\x1cP\xcb\xa1\xdfi\xd4'), chr(100) + chr(0b111111 + 0o46) + chr(0b1100011) + chr(9633 - 9522) + chr(1151 - 1051) + '\145')(chr(0b11 + 0o162) + chr(12270 - 12154) + '\x66' + '\x2d' + chr(56)))[ehT0Px3KOsy9(chr(1234 - 1186) + chr(111) + '\061', 8)])
G0kiTcQF84ng = WqUC3KWvYVup.squeeze(G0kiTcQF84ng, axis=ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\060', 8))
xafqLlk3kkUe(EsM0Tb0l_6OT, xafqLlk3kkUe(SXOLrMavuUCe(b'.L\\\x84\x914'), '\x64' + chr(0b1100101) + '\x63' + chr(111) + '\144' + '\x65')('\165' + chr(116) + chr(0b111101 + 0o51) + '\055' + '\070'))((G0kiTcQF84ng, xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'<HM\x82\x94'), chr(1131 - 1031) + chr(0b1100101) + chr(7775 - 7676) + chr(0b1011 + 0o144) + chr(6739 - 6639) + chr(101))(chr(5945 - 5828) + '\x74' + chr(0b1000100 + 0o42) + '\x2d' + chr(56)))(WCl6VUkME_8I), xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'<HM\x82\x94'), chr(198 - 98) + chr(0b1100101) + chr(6897 - 6798) + chr(7976 - 7865) + chr(0b1011111 + 0o5) + chr(0b1100101))('\x75' + chr(8004 - 7888) + chr(3447 - 3345) + '\x2d' + '\070'))(yrDfr6ll4Ijz)))
return EsM0Tb0l_6OT
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/rlax/ppo.py
|
get_padding_value
|
def get_padding_value(dtype):
"""Returns the padding value given a dtype."""
padding_value = None
if dtype == np.uint8:
padding_value = np.uint8(0)
elif dtype == np.uint16:
padding_value = np.uint16(0)
elif dtype == np.float32:
padding_value = 0.0
else:
padding_value = 0
assert padding_value is not None
return padding_value
|
python
|
def get_padding_value(dtype):
"""Returns the padding value given a dtype."""
padding_value = None
if dtype == np.uint8:
padding_value = np.uint8(0)
elif dtype == np.uint16:
padding_value = np.uint16(0)
elif dtype == np.float32:
padding_value = 0.0
else:
padding_value = 0
assert padding_value is not None
return padding_value
|
[
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"get_padding_value",
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":",
"padding_value",
"=",
"None",
"if",
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"np",
".",
"uint8",
":",
"padding_value",
"=",
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":",
"padding_value",
"=",
"0",
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"padding_value",
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] |
Returns the padding value given a dtype.
|
[
"Returns",
"the",
"padding",
"value",
"given",
"a",
"dtype",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/rlax/ppo.py#L283-L295
|
train
|
Returns the padding value given a dtype.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(1736 - 1686) + '\064' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(9281 - 9170) + '\x32' + chr(0b11100 + 0o25) + chr(2376 - 2322), 18309 - 18301), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(4825 - 4714) + '\x34' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(11968 - 11857) + '\x32' + chr(0b110100) + '\063', 0o10), ehT0Px3KOsy9(chr(335 - 287) + chr(0b1101111) + chr(624 - 575) + '\x33' + chr(54), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x34' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\065' + '\063', 0o10), ehT0Px3KOsy9(chr(1521 - 1473) + chr(0b1101111) + '\062' + chr(0b1101 + 0o50) + chr(2027 - 1973), 46457 - 46449), ehT0Px3KOsy9('\x30' + chr(0b11111 + 0o120) + chr(49) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(54) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(402 - 353), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(0b110110) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1000 + 0o53) + chr(1812 - 1763) + chr(0b110000), 43276 - 43268), ehT0Px3KOsy9(chr(1050 - 1002) + chr(0b1101111) + chr(438 - 388) + chr(1794 - 1744) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b100101 + 0o112) + chr(50) + chr(705 - 655) + chr(0b110110), 28466 - 28458), ehT0Px3KOsy9(chr(48) + chr(8380 - 8269) + chr(0b10110 + 0o33) + chr(55) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x35' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(2415 - 2362), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(406 - 356) + chr(51) + chr(0b11101 + 0o25), 58459 - 58451), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + '\066' + chr(49), 0b1000), ehT0Px3KOsy9(chr(2099 - 2051) + chr(0b1101111) + chr(528 - 475) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6652 - 6541) + chr(52) + chr(0b1111 + 0o43), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(2123 - 2073) + chr(0b110101) + chr(1554 - 1500), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(471 - 421) + chr(52) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + '\x36' + chr(0b110000), 8016 - 8008), ehT0Px3KOsy9(chr(1310 - 1262) + chr(111) + '\x31' + chr(49) + '\061', 43037 - 43029), ehT0Px3KOsy9(chr(1579 - 1531) + '\157' + chr(0b110001 + 0o1) + '\066' + '\x36', 56772 - 56764), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10011 + 0o36) + chr(1536 - 1487) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(50) + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(3011 - 2900) + '\x33' + chr(54), 7620 - 7612), ehT0Px3KOsy9(chr(387 - 339) + chr(9830 - 9719) + chr(0b110111) + '\x32', 24901 - 24893), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1100 + 0o143) + chr(1175 - 1123) + chr(0b1000 + 0o56), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(752 - 699), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(0b110111) + '\060', 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(11942 - 11831) + chr(0b110011 + 0o1) + chr(0b101000 + 0o13), 36218 - 36210), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b110000) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2142 - 2031) + '\063' + chr(51) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b110001) + chr(0b10101 + 0o41), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100 + 0o56) + chr(2479 - 2424) + chr(0b110101), 13786 - 13778)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(178 - 130) + '\157' + chr(966 - 913) + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x89'), '\144' + '\x65' + chr(0b1100011) + '\157' + chr(9218 - 9118) + chr(9293 - 9192))(chr(4965 - 4848) + chr(116) + '\146' + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def __lsGCJbj2JD(jSV9IKnemH7K):
JHaRkZr4SHrI = None
if jSV9IKnemH7K == xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2\xe7I\xd7f'), chr(100) + '\x65' + '\143' + chr(0b10111 + 0o130) + '\144' + chr(7717 - 7616))(chr(117) + '\x74' + '\146' + chr(190 - 145) + chr(0b111000))):
JHaRkZr4SHrI = WqUC3KWvYVup.uint8(ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + chr(0b101110 + 0o2), 4251 - 4243))
elif jSV9IKnemH7K == xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2\xe7I\xd7o\x10'), chr(0b11001 + 0o113) + chr(0b1100101) + chr(0b1100011) + chr(4617 - 4506) + chr(0b1100100) + '\145')(chr(0b111 + 0o156) + '\164' + chr(102) + chr(45) + '\070')):
JHaRkZr4SHrI = WqUC3KWvYVup.uint16(ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(48), 8))
elif jSV9IKnemH7K == xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\xe2H\xc2*\x15\x19'), chr(8306 - 8206) + chr(0b1100101) + chr(361 - 262) + chr(7478 - 7367) + '\144' + chr(0b1100101))('\x75' + chr(0b1100001 + 0o23) + '\x66' + '\x2d' + '\070')):
JHaRkZr4SHrI = 0.0
else:
JHaRkZr4SHrI = ehT0Px3KOsy9('\060' + chr(9854 - 9743) + chr(1051 - 1003), 8)
assert JHaRkZr4SHrI is not None
return JHaRkZr4SHrI
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/rlax/ppo.py
|
pad_trajectories
|
def pad_trajectories(trajectories, boundary=20):
"""Pad trajectories to a bucket length that is a multiple of boundary.
Args:
trajectories: list[(observation, actions, rewards)], where each observation
is shaped (t+1,) + OBS and actions & rewards are shaped (t,), with the
length of the list being B (batch size).
boundary: int, bucket length, the actions and rewards are padded to integer
multiples of boundary.
Returns:
tuple: (padding lengths, reward_mask, padded_observations, padded_actions,
padded_rewards) where padded_observations is shaped (B, T+1) + OBS and
padded_actions, padded_rewards & reward_mask are shaped (B, T).
Where T is max(t) rounded up to an integer multiple of boundary.
padded_length is how much padding we've added and
reward_mask is 1s for actual rewards and 0s for the padding.
"""
# Let's compute max(t) over all trajectories.
t_max = max(r.shape[0] for (_, _, r) in trajectories)
# t_max is rounded to the next multiple of `boundary`
boundary = int(boundary)
bucket_length = boundary * int(np.ceil(float(t_max) / boundary))
# So all obs will be padded to t_max + 1 and actions and rewards to t_max.
padded_observations = []
padded_actions = []
padded_rewards = []
padded_lengths = []
reward_masks = []
for (o, a, r) in trajectories:
# Determine the amount to pad, this holds true for obs, actions and rewards.
num_to_pad = bucket_length + 1 - o.shape[0]
padded_lengths.append(num_to_pad)
if num_to_pad == 0:
padded_observations.append(o)
padded_actions.append(a)
padded_rewards.append(r)
reward_masks.append(onp.ones_like(r, dtype=np.int32))
continue
# First pad observations.
padding_config = [(0, num_to_pad, 0)]
for _ in range(o.ndim - 1):
padding_config.append((0, 0, 0))
padding_config = tuple(padding_config)
padding_value = get_padding_value(o.dtype)
action_padding_value = get_padding_value(a.dtype)
reward_padding_value = get_padding_value(r.dtype)
padded_obs = lax.pad(o, padding_value, padding_config)
padded_observations.append(padded_obs)
# Now pad actions and rewards.
assert a.ndim == 1 and r.ndim == 1
padding_config = ((0, num_to_pad, 0),)
padded_action = lax.pad(a, action_padding_value, padding_config)
padded_actions.append(padded_action)
padded_reward = lax.pad(r, reward_padding_value, padding_config)
padded_rewards.append(padded_reward)
# Also create the mask to use later.
reward_mask = onp.ones_like(r, dtype=np.int32)
reward_masks.append(lax.pad(reward_mask, 0, padding_config))
return padded_lengths, np.stack(reward_masks), np.stack(
padded_observations), np.stack(padded_actions), np.stack(padded_rewards)
|
python
|
def pad_trajectories(trajectories, boundary=20):
"""Pad trajectories to a bucket length that is a multiple of boundary.
Args:
trajectories: list[(observation, actions, rewards)], where each observation
is shaped (t+1,) + OBS and actions & rewards are shaped (t,), with the
length of the list being B (batch size).
boundary: int, bucket length, the actions and rewards are padded to integer
multiples of boundary.
Returns:
tuple: (padding lengths, reward_mask, padded_observations, padded_actions,
padded_rewards) where padded_observations is shaped (B, T+1) + OBS and
padded_actions, padded_rewards & reward_mask are shaped (B, T).
Where T is max(t) rounded up to an integer multiple of boundary.
padded_length is how much padding we've added and
reward_mask is 1s for actual rewards and 0s for the padding.
"""
# Let's compute max(t) over all trajectories.
t_max = max(r.shape[0] for (_, _, r) in trajectories)
# t_max is rounded to the next multiple of `boundary`
boundary = int(boundary)
bucket_length = boundary * int(np.ceil(float(t_max) / boundary))
# So all obs will be padded to t_max + 1 and actions and rewards to t_max.
padded_observations = []
padded_actions = []
padded_rewards = []
padded_lengths = []
reward_masks = []
for (o, a, r) in trajectories:
# Determine the amount to pad, this holds true for obs, actions and rewards.
num_to_pad = bucket_length + 1 - o.shape[0]
padded_lengths.append(num_to_pad)
if num_to_pad == 0:
padded_observations.append(o)
padded_actions.append(a)
padded_rewards.append(r)
reward_masks.append(onp.ones_like(r, dtype=np.int32))
continue
# First pad observations.
padding_config = [(0, num_to_pad, 0)]
for _ in range(o.ndim - 1):
padding_config.append((0, 0, 0))
padding_config = tuple(padding_config)
padding_value = get_padding_value(o.dtype)
action_padding_value = get_padding_value(a.dtype)
reward_padding_value = get_padding_value(r.dtype)
padded_obs = lax.pad(o, padding_value, padding_config)
padded_observations.append(padded_obs)
# Now pad actions and rewards.
assert a.ndim == 1 and r.ndim == 1
padding_config = ((0, num_to_pad, 0),)
padded_action = lax.pad(a, action_padding_value, padding_config)
padded_actions.append(padded_action)
padded_reward = lax.pad(r, reward_padding_value, padding_config)
padded_rewards.append(padded_reward)
# Also create the mask to use later.
reward_mask = onp.ones_like(r, dtype=np.int32)
reward_masks.append(lax.pad(reward_mask, 0, padding_config))
return padded_lengths, np.stack(reward_masks), np.stack(
padded_observations), np.stack(padded_actions), np.stack(padded_rewards)
|
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] |
Pad trajectories to a bucket length that is a multiple of boundary.
Args:
trajectories: list[(observation, actions, rewards)], where each observation
is shaped (t+1,) + OBS and actions & rewards are shaped (t,), with the
length of the list being B (batch size).
boundary: int, bucket length, the actions and rewards are padded to integer
multiples of boundary.
Returns:
tuple: (padding lengths, reward_mask, padded_observations, padded_actions,
padded_rewards) where padded_observations is shaped (B, T+1) + OBS and
padded_actions, padded_rewards & reward_mask are shaped (B, T).
Where T is max(t) rounded up to an integer multiple of boundary.
padded_length is how much padding we've added and
reward_mask is 1s for actual rewards and 0s for the padding.
|
[
"Pad",
"trajectories",
"to",
"a",
"bucket",
"length",
"that",
"is",
"a",
"multiple",
"of",
"boundary",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/rlax/ppo.py#L299-L369
|
train
|
Pads the given list of trajectories to a multiple of boundary.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11101 + 0o24) + chr(0b110011) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001111 + 0o40) + chr(1954 - 1904) + '\065' + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(3104 - 2993) + chr(0b110010) + chr(1552 - 1501) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(55) + '\065', 29837 - 29829), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(10134 - 10023) + chr(52) + chr(0b101100 + 0o11), ord("\x08")), ehT0Px3KOsy9(chr(1684 - 1636) + chr(0b1000 + 0o147) + '\067' + chr(2102 - 2048), 36029 - 36021), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(0b1111 + 0o42) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + '\x31' + chr(304 - 254) + chr(0b101010 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(4257 - 4146) + chr(51) + '\x30' + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(11989 - 11878) + chr(0b101100 + 0o5) + chr(0b1010 + 0o51), 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + '\x32' + chr(52) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + chr(50) + chr(51) + chr(0b110111), 35106 - 35098), ehT0Px3KOsy9(chr(48) + chr(0b1000001 + 0o56) + chr(2241 - 2190) + chr(0b10101 + 0o33) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + '\x30' + chr(0b10001 + 0o45), 32379 - 32371), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1945 - 1896) + '\065' + chr(2704 - 2652), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(0b101100 + 0o7) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(53) + chr(0b110011), 62331 - 62323), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + '\x32' + chr(0b110101 + 0o2) + '\064', 37226 - 37218), ehT0Px3KOsy9(chr(366 - 318) + chr(0b100010 + 0o115) + '\062' + chr(1579 - 1525) + chr(1358 - 1303), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b110110) + chr(0b10101 + 0o37), ord("\x08")), ehT0Px3KOsy9(chr(1917 - 1869) + chr(0b1010 + 0o145) + chr(0b1111 + 0o44) + chr(0b10100 + 0o41) + chr(0b110011 + 0o2), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\064' + chr(0b110110 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110110 + 0o71) + '\x33' + chr(542 - 488) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(3218 - 3107) + chr(491 - 442) + chr(51) + chr(0b1001 + 0o55), 18886 - 18878), ehT0Px3KOsy9(chr(0b110000) + chr(4072 - 3961) + '\x32' + chr(1104 - 1055) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(0b11010 + 0o30) + chr(730 - 677), 5115 - 5107), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(0b110110) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1860 - 1810) + '\x32' + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + '\064', 8), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(9454 - 9343) + chr(49) + chr(851 - 802) + chr(0b11001 + 0o34), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b101100 + 0o11) + '\062', 38884 - 38876), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(0b1101 + 0o46) + chr(1427 - 1376), 0b1000), ehT0Px3KOsy9(chr(1205 - 1157) + chr(417 - 306) + '\061' + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\x37', 8), ehT0Px3KOsy9(chr(1114 - 1066) + chr(0b110110 + 0o71) + chr(0b10101 + 0o35) + '\062' + chr(2280 - 2232), 0b1000), ehT0Px3KOsy9(chr(1677 - 1629) + chr(8553 - 8442) + chr(0b100011 + 0o17) + chr(0b1000 + 0o55) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b1010 + 0o54) + '\064', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\060' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10000 + 0o137) + '\063' + '\x32' + chr(0b1000 + 0o53), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100 + 0o56) + '\063' + chr(0b110010), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2013 - 1965) + chr(0b100110 + 0o111) + chr(0b10000 + 0o45) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b's'), '\x64' + chr(0b111100 + 0o51) + chr(99) + chr(111) + '\144' + '\145')('\165' + chr(0b1110100) + chr(5805 - 5703) + chr(1273 - 1228) + chr(461 - 405)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Vm0XVlQLL8eF(EsM0Tb0l_6OT, btzPOzjO3_Wq=ehT0Px3KOsy9('\x30' + chr(0b101 + 0o152) + chr(1371 - 1321) + chr(1656 - 1604), 0b1000)):
bXFPk1sDAmDO = tsdjvlgh9gDP((JWG5qApaeJkp.nauYfLglTpcb[ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000), 24723 - 24715)] for (VNGQdHSFPrso, VNGQdHSFPrso, JWG5qApaeJkp) in EsM0Tb0l_6OT))
btzPOzjO3_Wq = ehT0Px3KOsy9(btzPOzjO3_Wq)
srtJwWjdcntc = btzPOzjO3_Wq * ehT0Px3KOsy9(WqUC3KWvYVup.ceil(kkSX4ccExqw4(bXFPk1sDAmDO) / btzPOzjO3_Wq))
NMTtGzIbULOi = []
bZuN4w5tzORn = []
cf1aO4AiTN9J = []
lDDQXHUPb7bn = []
ItqCN_hNcv_4 = []
for (gb6ab8SSTLgq, XPh1qbAgrPgG, JWG5qApaeJkp) in EsM0Tb0l_6OT:
cPChzOCItNCx = srtJwWjdcntc + ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100001 + 0o20), 38577 - 38569) - gb6ab8SSTLgq.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + '\060', 8)]
xafqLlk3kkUe(lDDQXHUPb7bn, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xdd\xebXKZ'), chr(100) + chr(101) + chr(1683 - 1584) + chr(0b100 + 0o153) + chr(0b1100100) + chr(101))(chr(117) + chr(116) + chr(5828 - 5726) + '\055' + chr(0b101001 + 0o17)))(cPChzOCItNCx)
if cPChzOCItNCx == ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + '\x30', 8):
xafqLlk3kkUe(NMTtGzIbULOi, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xdd\xebXKZ'), chr(0b1010010 + 0o22) + '\145' + '\143' + chr(0b1101111) + chr(7391 - 7291) + '\145')(chr(2720 - 2603) + '\164' + '\146' + chr(0b11001 + 0o24) + '\070'))(gb6ab8SSTLgq)
xafqLlk3kkUe(bZuN4w5tzORn, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xdd\xebXKZ'), chr(0b1100100) + chr(7169 - 7068) + chr(0b1100011) + chr(0b1101111) + chr(9459 - 9359) + chr(0b10000 + 0o125))(chr(2184 - 2067) + chr(116) + chr(102) + chr(0b101101) + chr(56)))(XPh1qbAgrPgG)
xafqLlk3kkUe(cf1aO4AiTN9J, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xdd\xebXKZ'), '\x64' + chr(0b1100101) + chr(3853 - 3754) + '\157' + '\144' + '\x65')(chr(9645 - 9528) + '\164' + chr(0b101110 + 0o70) + chr(0b101 + 0o50) + chr(0b111000)))(JWG5qApaeJkp)
xafqLlk3kkUe(ItqCN_hNcv_4, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xdd\xebXKZ'), '\x64' + chr(3129 - 3028) + chr(0b1011100 + 0o7) + chr(4962 - 4851) + '\x64' + chr(0b1100101))(chr(10804 - 10687) + chr(116) + chr(102) + chr(0b11010 + 0o23) + '\x38'))(xafqLlk3kkUe(E84IQ9WvC5Je, xafqLlk3kkUe(SXOLrMavuUCe(b'2\xc3\xfeNzR&>\xa3'), '\144' + chr(0b1000 + 0o135) + chr(0b1100011) + '\x6f' + chr(100) + chr(2253 - 2152))(chr(117) + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b10101 + 0o43)))(JWG5qApaeJkp, dtype=xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'4\xc3\xef\x0e\x17'), chr(0b1000101 + 0o37) + chr(0b111011 + 0o52) + chr(0b101111 + 0o64) + '\157' + '\x64' + chr(0b11100 + 0o111))(chr(0b1001000 + 0o55) + chr(0b0 + 0o164) + chr(5415 - 5313) + chr(1383 - 1338) + '\070'))))
continue
Adf6rcZmHlbv = [(ehT0Px3KOsy9('\x30' + chr(111) + chr(2012 - 1964), 8), cPChzOCItNCx, ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(1369 - 1321), 8))]
for VNGQdHSFPrso in vQr8gNKaIaWE(xafqLlk3kkUe(gb6ab8SSTLgq, xafqLlk3kkUe(SXOLrMavuUCe(b':\xc2\xf6Mm|&\x01\xb5m\xeb\xcb'), '\144' + '\x65' + chr(99) + '\157' + '\144' + chr(0b1010010 + 0o23))('\x75' + chr(116) + '\x66' + '\x2d' + chr(0b111000))) - ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + chr(1446 - 1397), 8)):
xafqLlk3kkUe(Adf6rcZmHlbv, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xdd\xebXKZ'), chr(0b1100100) + chr(3544 - 3443) + chr(8278 - 8179) + '\157' + '\x64' + chr(101))(chr(117) + chr(0b1101010 + 0o12) + chr(0b1100110) + chr(0b101101) + chr(0b10101 + 0o43)))((ehT0Px3KOsy9(chr(48) + '\x6f' + chr(48), 8), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b100 + 0o153) + '\060', 8), ehT0Px3KOsy9(chr(48) + chr(0b100010 + 0o115) + chr(0b100111 + 0o11), 8)))
Adf6rcZmHlbv = KNyTy8rYcwji(Adf6rcZmHlbv)
JHaRkZr4SHrI = __lsGCJbj2JD(gb6ab8SSTLgq.jSV9IKnemH7K)
XnIqeeP0Tfle = __lsGCJbj2JD(XPh1qbAgrPgG.jSV9IKnemH7K)
PBR0FuSe0oJa = __lsGCJbj2JD(JWG5qApaeJkp.jSV9IKnemH7K)
A0Mr7f1CFKJu = j2vHIidTbj13.pad(gb6ab8SSTLgq, JHaRkZr4SHrI, Adf6rcZmHlbv)
xafqLlk3kkUe(NMTtGzIbULOi, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xdd\xebXKZ'), '\x64' + chr(4647 - 4546) + chr(0b1100011) + chr(0b10101 + 0o132) + '\144' + chr(0b1100101))(chr(6639 - 6522) + chr(0b100111 + 0o115) + '\x66' + chr(0b101010 + 0o3) + chr(716 - 660)))(A0Mr7f1CFKJu)
assert xafqLlk3kkUe(XPh1qbAgrPgG, xafqLlk3kkUe(SXOLrMavuUCe(b':\xc2\xf6Mm|&\x01\xb5m\xeb\xcb'), '\144' + '\x65' + chr(0b1100011) + '\157' + chr(0b1100100) + chr(1235 - 1134))('\x75' + chr(116) + '\146' + chr(879 - 834) + chr(56))) == ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11000 + 0o31), 8) and xafqLlk3kkUe(JWG5qApaeJkp, xafqLlk3kkUe(SXOLrMavuUCe(b':\xc2\xf6Mm|&\x01\xb5m\xeb\xcb'), '\144' + chr(101) + chr(0b1100011) + chr(7431 - 7320) + chr(0b1001000 + 0o34) + chr(101))(chr(0b11110 + 0o127) + chr(0b1110100) + chr(0b11101 + 0o111) + chr(45) + chr(56))) == ehT0Px3KOsy9(chr(48) + '\157' + '\x31', 8)
Adf6rcZmHlbv = ((ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + '\x30', 8), cPChzOCItNCx, ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110000), 8)),)
uVo3MyTr4SUL = j2vHIidTbj13.pad(XPh1qbAgrPgG, XnIqeeP0Tfle, Adf6rcZmHlbv)
xafqLlk3kkUe(bZuN4w5tzORn, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xdd\xebXKZ'), chr(0b1100100) + '\145' + chr(99) + chr(0b110010 + 0o75) + chr(0b1100100) + chr(0b1100101))(chr(2513 - 2396) + '\164' + '\146' + chr(0b101101) + chr(0b110100 + 0o4)))(uVo3MyTr4SUL)
r_xMD65PNKIc = j2vHIidTbj13.pad(JWG5qApaeJkp, PBR0FuSe0oJa, Adf6rcZmHlbv)
xafqLlk3kkUe(cf1aO4AiTN9J, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xdd\xebXKZ'), chr(0b100100 + 0o100) + chr(0b1100101) + chr(2182 - 2083) + chr(0b1101111) + '\x64' + chr(4328 - 4227))(chr(3473 - 3356) + chr(2326 - 2210) + chr(0b110110 + 0o60) + chr(1307 - 1262) + '\x38'))(r_xMD65PNKIc)
XQHAbMr4P4IJ = E84IQ9WvC5Je.ones_like(JWG5qApaeJkp, dtype=WqUC3KWvYVup.int32)
xafqLlk3kkUe(ItqCN_hNcv_4, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xdd\xebXKZ'), chr(0b1100100) + chr(101) + chr(0b110100 + 0o57) + chr(0b1001010 + 0o45) + chr(0b1100100) + chr(101))('\x75' + chr(0b1011 + 0o151) + chr(0b1100110) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(j2vHIidTbj13, xafqLlk3kkUe(SXOLrMavuUCe(b'-\xcc\xff'), chr(0b11111 + 0o105) + chr(101) + chr(5657 - 5558) + chr(111) + chr(0b1100100) + chr(0b1100101))('\165' + chr(116) + '\x66' + chr(0b10110 + 0o27) + '\x38'))(XQHAbMr4P4IJ, ehT0Px3KOsy9('\060' + chr(4294 - 4183) + chr(0b100111 + 0o11), 8), Adf6rcZmHlbv))
return (lDDQXHUPb7bn, xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'.\xd9\xfa^N'), chr(0b10100 + 0o120) + '\145' + chr(0b1100011) + '\157' + chr(100) + chr(0b1011110 + 0o7))(chr(0b1110101) + chr(0b1110100) + chr(0b1100100 + 0o2) + '\x2d' + chr(0b111000)))(ItqCN_hNcv_4), xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'.\xd9\xfa^N'), '\144' + chr(101) + chr(8068 - 7969) + chr(0b1101111) + '\144' + chr(5286 - 5185))(chr(117) + chr(0b1110100) + '\146' + chr(0b1110 + 0o37) + chr(1914 - 1858)))(NMTtGzIbULOi), xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'.\xd9\xfa^N'), chr(5767 - 5667) + chr(0b101100 + 0o71) + '\143' + '\x6f' + chr(0b1100100) + chr(4649 - 4548))(chr(0b1110101) + '\164' + chr(1901 - 1799) + '\055' + '\070'))(bZuN4w5tzORn), xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'.\xd9\xfa^N'), chr(100) + chr(1578 - 1477) + chr(0b1100011) + '\157' + '\144' + chr(101))('\165' + '\164' + '\146' + chr(1633 - 1588) + chr(0b111000)))(cf1aO4AiTN9J))
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/rlax/ppo.py
|
rewards_to_go
|
def rewards_to_go(rewards, mask, gamma=0.99):
r"""Computes rewards to go.
Reward to go is defined as follows, the discounted reward that we have to
yet collect, going forward from this point, i.e.:
r2g_t = \sum_{l=0}^{\infty} (\gamma^{l} * reward_{t+l})
Args:
rewards: np.ndarray of shape (B, T) of rewards.
mask: np.ndarray of shape (B, T) of mask for the rewards.
gamma: float, discount factor.
Returns:
rewards to go, np.ndarray of shape (B, T).
"""
B, T = rewards.shape # pylint: disable=invalid-name,unused-variable
masked_rewards = rewards * mask # (B, T)
# We use the following recurrence relation, derived from the equation above:
#
# r2g[t+1] = (r2g[t] - r[t]) / gamma
#
# This means we'll need to calculate r2g[0] first and then r2g[1] and so on ..
#
# **However** this leads to overflows for long sequences: r2g[t] - r[t] > 0
# and gamma < 1.0, so the division keeps increasing.
#
# So we just run the recurrence in reverse, i.e.
#
# r2g[t] = r[t] + (gamma*r2g[t+1])
#
# This is much better, but might have lost updates since the (small) rewards
# at earlier time-steps may get added to a (very?) large sum.
# Compute r2g_{T-1} at the start and then compute backwards in time.
r2gs = [masked_rewards[:, -1]]
# Go from T-2 down to 0.
for t in reversed(range(T - 1)):
r2gs.append(masked_rewards[:, t] + (gamma * r2gs[-1]))
# The list should have length T.
assert T == len(r2gs)
# First we stack them in the correct way to make it (B, T), but these are
# still from newest (T-1) to oldest (0), so then we flip it on time axis.
return np.flip(np.stack(r2gs, axis=1), axis=1)
|
python
|
def rewards_to_go(rewards, mask, gamma=0.99):
r"""Computes rewards to go.
Reward to go is defined as follows, the discounted reward that we have to
yet collect, going forward from this point, i.e.:
r2g_t = \sum_{l=0}^{\infty} (\gamma^{l} * reward_{t+l})
Args:
rewards: np.ndarray of shape (B, T) of rewards.
mask: np.ndarray of shape (B, T) of mask for the rewards.
gamma: float, discount factor.
Returns:
rewards to go, np.ndarray of shape (B, T).
"""
B, T = rewards.shape # pylint: disable=invalid-name,unused-variable
masked_rewards = rewards * mask # (B, T)
# We use the following recurrence relation, derived from the equation above:
#
# r2g[t+1] = (r2g[t] - r[t]) / gamma
#
# This means we'll need to calculate r2g[0] first and then r2g[1] and so on ..
#
# **However** this leads to overflows for long sequences: r2g[t] - r[t] > 0
# and gamma < 1.0, so the division keeps increasing.
#
# So we just run the recurrence in reverse, i.e.
#
# r2g[t] = r[t] + (gamma*r2g[t+1])
#
# This is much better, but might have lost updates since the (small) rewards
# at earlier time-steps may get added to a (very?) large sum.
# Compute r2g_{T-1} at the start and then compute backwards in time.
r2gs = [masked_rewards[:, -1]]
# Go from T-2 down to 0.
for t in reversed(range(T - 1)):
r2gs.append(masked_rewards[:, t] + (gamma * r2gs[-1]))
# The list should have length T.
assert T == len(r2gs)
# First we stack them in the correct way to make it (B, T), but these are
# still from newest (T-1) to oldest (0), so then we flip it on time axis.
return np.flip(np.stack(r2gs, axis=1), axis=1)
|
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r"""Computes rewards to go.
Reward to go is defined as follows, the discounted reward that we have to
yet collect, going forward from this point, i.e.:
r2g_t = \sum_{l=0}^{\infty} (\gamma^{l} * reward_{t+l})
Args:
rewards: np.ndarray of shape (B, T) of rewards.
mask: np.ndarray of shape (B, T) of mask for the rewards.
gamma: float, discount factor.
Returns:
rewards to go, np.ndarray of shape (B, T).
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/rlax/ppo.py#L373-L421
|
train
|
r Computes the rewards to go.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2321 - 2272) + '\066' + chr(0b110110), 31201 - 31193), ehT0Px3KOsy9('\x30' + chr(9811 - 9700) + chr(0b100110 + 0o14) + '\x32' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(741 - 686) + '\x35', 24198 - 24190), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11110 + 0o24) + chr(0b110010) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1610 - 1562) + '\157' + '\x33' + chr(0b110000) + chr(0b10 + 0o60), 20024 - 20016), ehT0Px3KOsy9(chr(627 - 579) + chr(111) + chr(0b110011) + chr(0b110001) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10 + 0o61) + chr(52) + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(233 - 122) + chr(896 - 846) + '\x33' + chr(0b100100 + 0o23), 0b1000), ehT0Px3KOsy9(chr(493 - 445) + chr(0b1100100 + 0o13) + chr(0b101111 + 0o3) + '\x37' + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000 + 0o147) + chr(2032 - 1982) + chr(50) + chr(2761 - 2706), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b11110 + 0o121) + chr(0b110001) + '\x30' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(2041 - 1992) + chr(48) + chr(1197 - 1147), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + chr(2273 - 2222) + chr(0b1011 + 0o53) + chr(284 - 236), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + '\061' + chr(53) + '\067', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\x32' + chr(570 - 520), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\067' + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(9260 - 9149) + chr(2228 - 2179) + '\061' + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(1535 - 1487) + '\x32', 54708 - 54700), ehT0Px3KOsy9(chr(48) + '\157' + chr(328 - 276), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(49) + chr(2332 - 2278) + chr(54), 8), ehT0Px3KOsy9(chr(1530 - 1482) + chr(1474 - 1363) + chr(50) + '\x35' + chr(56 - 7), ord("\x08")), ehT0Px3KOsy9(chr(730 - 682) + chr(0b1101111) + '\066' + chr(0b110011 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(1394 - 1346) + chr(0b1101111) + '\063' + chr(1140 - 1092), 7191 - 7183), ehT0Px3KOsy9(chr(492 - 444) + chr(111) + '\x37' + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(0b1001101 + 0o42) + chr(50) + chr(159 - 108) + chr(52), 0b1000), ehT0Px3KOsy9(chr(1363 - 1315) + '\x6f' + chr(49) + chr(1108 - 1054) + chr(54), 8), ehT0Px3KOsy9(chr(48) + chr(0b10010 + 0o135) + chr(1193 - 1140) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1110 + 0o141) + chr(1763 - 1713) + chr(0b1111 + 0o43) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(12316 - 12205) + chr(51) + chr(50) + chr(52), 20545 - 20537), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\067' + chr(0b110111), 8), ehT0Px3KOsy9(chr(444 - 396) + '\157' + chr(0b110001 + 0o1) + '\x32' + chr(0b110111), 8), ehT0Px3KOsy9(chr(2106 - 2058) + chr(111) + chr(54) + chr(2353 - 2304), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(48) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10101 + 0o34) + '\067' + chr(0b110001 + 0o0), 0b1000), ehT0Px3KOsy9(chr(379 - 331) + '\x6f' + chr(49) + chr(1655 - 1607), 0b1000), ehT0Px3KOsy9('\x30' + chr(10800 - 10689) + chr(55) + chr(0b110001), 34661 - 34653), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\x35' + chr(0b10000 + 0o43), 17245 - 17237), ehT0Px3KOsy9('\x30' + '\x6f' + chr(104 - 55) + chr(2334 - 2282), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b111100 + 0o63) + chr(1183 - 1133) + chr(0b100111 + 0o12) + '\x33', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(906 - 858) + '\157' + chr(1242 - 1189) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'X'), '\144' + chr(0b101111 + 0o66) + chr(7489 - 7390) + '\x6f' + chr(0b1011101 + 0o7) + chr(0b100101 + 0o100))('\x75' + chr(0b1110100) + chr(0b1000000 + 0o46) + chr(0b101100 + 0o1) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def TOPGlF00GNAl(yrDfr6ll4Ijz, Iz1jSgUKZDvt, nfeH4ZtvQXsW=0.99):
(svfRBGgiDhUk, GkVqzVIYtSeO) = yrDfr6ll4Ijz.nauYfLglTpcb
PE9qrOkQxFGY = yrDfr6ll4Ijz * Iz1jSgUKZDvt
a3L78vMnZoby = [PE9qrOkQxFGY[:, -ehT0Px3KOsy9(chr(1271 - 1223) + chr(0b110010 + 0o75) + '\x31', 8)]]
for YeT3l7JgTbWR in RFiwrCZH9Ie6(vQr8gNKaIaWE(GkVqzVIYtSeO - ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001), 8))):
xafqLlk3kkUe(a3L78vMnZoby, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\xe6M\xf6\xac\xaa'), chr(0b1100100) + chr(101) + '\143' + chr(111) + '\x64' + chr(0b1 + 0o144))(chr(0b1110101) + '\x74' + '\x66' + '\x2d' + chr(56)))(PE9qrOkQxFGY[:, YeT3l7JgTbWR] + nfeH4ZtvQXsW * a3L78vMnZoby[-ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49), 8)])
assert GkVqzVIYtSeO == c2A0yzQpDQB3(a3L78vMnZoby)
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b\xd0E\xa5\xa5\xbd\xbc\xae\xe9\xaf\x0e\x15'), chr(100) + '\x65' + chr(2386 - 2287) + '\157' + chr(100) + chr(9237 - 9136))(chr(0b1110101) + '\x74' + '\146' + chr(0b101101) + chr(0b101000 + 0o20)))(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xe2\\\xf0\xa9'), chr(100) + '\145' + chr(0b1100 + 0o127) + chr(111) + '\144' + chr(0b1000000 + 0o45))(chr(3995 - 3878) + chr(0b1110100) + chr(0b1000111 + 0o37) + '\055' + chr(56)))(a3L78vMnZoby, axis=ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(49), 8)), axis=ehT0Px3KOsy9(chr(48) + chr(6741 - 6630) + chr(49), 8))
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/rlax/ppo.py
|
value_loss
|
def value_loss(value_net_apply,
value_net_params,
observations,
rewards,
reward_mask,
gamma=0.99):
"""Computes the value loss.
Args:
value_net_apply: value net apply function with signature (params, ndarray of
shape (B, T+1) + OBS) -> ndarray(B, T+1, 1)
value_net_params: params of value_net_apply.
observations: np.ndarray of shape (B, T+1) + OBS
rewards: np.ndarray of shape (B, T) of rewards.
reward_mask: np.ndarray of shape (B, T), the mask over rewards.
gamma: float, discount factor.
Returns:
The average L2 value loss, averaged over instances where reward_mask is 1.
"""
B, T = rewards.shape # pylint: disable=invalid-name
assert (B, T + 1) == observations.shape[:2]
# NOTE: observations is (B, T+1) + OBS, value_prediction is (B, T+1, 1)
value_prediction = value_net_apply(observations, value_net_params)
assert (B, T + 1, 1) == value_prediction.shape
return value_loss_given_predictions(value_prediction, rewards, reward_mask,
gamma)
|
python
|
def value_loss(value_net_apply,
value_net_params,
observations,
rewards,
reward_mask,
gamma=0.99):
"""Computes the value loss.
Args:
value_net_apply: value net apply function with signature (params, ndarray of
shape (B, T+1) + OBS) -> ndarray(B, T+1, 1)
value_net_params: params of value_net_apply.
observations: np.ndarray of shape (B, T+1) + OBS
rewards: np.ndarray of shape (B, T) of rewards.
reward_mask: np.ndarray of shape (B, T), the mask over rewards.
gamma: float, discount factor.
Returns:
The average L2 value loss, averaged over instances where reward_mask is 1.
"""
B, T = rewards.shape # pylint: disable=invalid-name
assert (B, T + 1) == observations.shape[:2]
# NOTE: observations is (B, T+1) + OBS, value_prediction is (B, T+1, 1)
value_prediction = value_net_apply(observations, value_net_params)
assert (B, T + 1, 1) == value_prediction.shape
return value_loss_given_predictions(value_prediction, rewards, reward_mask,
gamma)
|
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] |
Computes the value loss.
Args:
value_net_apply: value net apply function with signature (params, ndarray of
shape (B, T+1) + OBS) -> ndarray(B, T+1, 1)
value_net_params: params of value_net_apply.
observations: np.ndarray of shape (B, T+1) + OBS
rewards: np.ndarray of shape (B, T) of rewards.
reward_mask: np.ndarray of shape (B, T), the mask over rewards.
gamma: float, discount factor.
Returns:
The average L2 value loss, averaged over instances where reward_mask is 1.
|
[
"Computes",
"the",
"value",
"loss",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/rlax/ppo.py#L425-L454
|
train
|
Computes the value loss given the value net parameters and the rewards.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + chr(0b10101 + 0o35) + '\062' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101 + 0o61) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + '\063' + chr(1121 - 1067) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b110000 + 0o77) + chr(0b11101 + 0o26) + '\x32' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(1840 - 1792) + '\157' + chr(0b101111 + 0o4) + chr(141 - 92) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(538 - 489) + chr(52) + chr(0b110111), 26098 - 26090), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(854 - 743) + chr(0b110010 + 0o0) + chr(938 - 889) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\061' + '\060' + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(53) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(901 - 852) + '\066' + '\x35', 0o10), ehT0Px3KOsy9(chr(702 - 654) + '\157' + chr(53) + chr(0b10101 + 0o37), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b110100) + chr(1780 - 1726), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + '\061' + chr(252 - 197), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b110011) + chr(2726 - 2673), 0o10), ehT0Px3KOsy9(chr(871 - 823) + chr(0b100110 + 0o111) + chr(524 - 474) + chr(0b110001) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\066' + chr(0b101011 + 0o13), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b11101 + 0o122) + chr(1479 - 1430) + chr(0b110100) + chr(54), 8), ehT0Px3KOsy9('\060' + chr(7302 - 7191) + chr(51) + chr(0b110010) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9153 - 9042) + '\x33' + '\x34' + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(341 - 291) + chr(0b110000) + '\x32', 45333 - 45325), ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + chr(0b10110 + 0o36) + chr(1796 - 1745), ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(2154 - 2043) + '\062' + chr(52) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(0b100011 + 0o22) + chr(1319 - 1270), 0o10), ehT0Px3KOsy9(chr(683 - 635) + chr(6226 - 6115) + '\x32' + chr(54) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(1784 - 1736) + '\x6f' + chr(0b0 + 0o61) + chr(0b110101) + '\064', 53658 - 53650), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(1632 - 1581) + '\x33' + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(0b11001 + 0o31) + '\065', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\066' + chr(2562 - 2509), 8), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + chr(0b110 + 0o55) + '\x33' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(7510 - 7399) + chr(2254 - 2205) + chr(2284 - 2236) + '\x33', 8697 - 8689), ehT0Px3KOsy9(chr(48) + '\x6f' + '\067' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(2092 - 2044) + chr(9239 - 9128) + chr(2348 - 2295) + chr(0b111 + 0o60), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + '\062' + '\x31' + '\063', 2726 - 2718), ehT0Px3KOsy9('\060' + '\157' + chr(0b11110 + 0o25) + '\066' + '\x34', 46578 - 46570), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + '\x30' + chr(2405 - 2351), 19329 - 19321), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\067', 38044 - 38036), ehT0Px3KOsy9('\060' + chr(111) + '\061' + '\x37', 0o10), ehT0Px3KOsy9(chr(1666 - 1618) + chr(0b1101111) + '\062' + chr(1374 - 1323) + '\x31', 38775 - 38767), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1001110 + 0o41) + chr(0b11101 + 0o24) + chr(53) + chr(52), 8), ehT0Px3KOsy9(chr(2091 - 2043) + chr(0b1101111) + chr(0b110011), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(11579 - 11468) + chr(0b110101) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb'), '\x64' + chr(0b1000 + 0o135) + chr(0b1100011) + chr(0b100 + 0o153) + '\144' + chr(0b101011 + 0o72))(chr(0b1110101) + '\x74' + '\x66' + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def hKeS2yhNpAe2(DaOmOlPiny62, pxQoR1yY3Pb1, uswa0rn3Tb4L, yrDfr6ll4Ijz, XQHAbMr4P4IJ, nfeH4ZtvQXsW=0.99):
(svfRBGgiDhUk, GkVqzVIYtSeO) = yrDfr6ll4Ijz.nauYfLglTpcb
assert (svfRBGgiDhUk, GkVqzVIYtSeO + ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001), 0o10)) == xafqLlk3kkUe(uswa0rn3Tb4L, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfbP\x86\x8f\xa9+\xee,\xfb\x05O\x04'), '\144' + '\x65' + chr(99) + chr(111) + '\x64' + chr(9329 - 9228))('\x75' + chr(4508 - 4392) + '\146' + '\x2d' + '\x38'))[:ehT0Px3KOsy9('\x30' + chr(0b1001 + 0o146) + chr(1594 - 1544), 36516 - 36508)]
e3X2fpgq_lw3 = DaOmOlPiny62(uswa0rn3Tb4L, pxQoR1yY3Pb1)
assert (svfRBGgiDhUk, GkVqzVIYtSeO + ehT0Px3KOsy9('\x30' + '\x6f' + '\061', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b11110 + 0o121) + chr(49), 8)) == xafqLlk3kkUe(e3X2fpgq_lw3, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfbP\x86\x8f\xa9+\xee,\xfb\x05O\x04'), '\x64' + chr(0b10111 + 0o116) + '\143' + chr(6541 - 6430) + chr(0b100111 + 0o75) + chr(0b1100101))(chr(10264 - 10147) + '\x74' + chr(7000 - 6898) + '\x2d' + '\070'))
return tyRP2X6lsxmF(e3X2fpgq_lw3, yrDfr6ll4Ijz, XQHAbMr4P4IJ, nfeH4ZtvQXsW)
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/rlax/ppo.py
|
value_loss_given_predictions
|
def value_loss_given_predictions(value_prediction,
rewards,
reward_mask,
gamma=0.99):
"""Computes the value loss given the prediction of the value function.
Args:
value_prediction: np.ndarray of shape (B, T+1, 1)
rewards: np.ndarray of shape (B, T) of rewards.
reward_mask: np.ndarray of shape (B, T), the mask over rewards.
gamma: float, discount factor.
Returns:
The average L2 value loss, averaged over instances where reward_mask is 1.
"""
B, T = rewards.shape # pylint: disable=invalid-name
assert (B, T) == reward_mask.shape
assert (B, T + 1, 1) == value_prediction.shape
value_prediction = np.squeeze(value_prediction, axis=2) # (B, T+1)
value_prediction = value_prediction[:, :-1] * reward_mask # (B, T)
r2g = rewards_to_go(rewards, reward_mask, gamma=gamma) # (B, T)
loss = (value_prediction - r2g)**2
# Take an average on only the points where mask != 0.
return np.sum(loss) / np.sum(reward_mask)
|
python
|
def value_loss_given_predictions(value_prediction,
rewards,
reward_mask,
gamma=0.99):
"""Computes the value loss given the prediction of the value function.
Args:
value_prediction: np.ndarray of shape (B, T+1, 1)
rewards: np.ndarray of shape (B, T) of rewards.
reward_mask: np.ndarray of shape (B, T), the mask over rewards.
gamma: float, discount factor.
Returns:
The average L2 value loss, averaged over instances where reward_mask is 1.
"""
B, T = rewards.shape # pylint: disable=invalid-name
assert (B, T) == reward_mask.shape
assert (B, T + 1, 1) == value_prediction.shape
value_prediction = np.squeeze(value_prediction, axis=2) # (B, T+1)
value_prediction = value_prediction[:, :-1] * reward_mask # (B, T)
r2g = rewards_to_go(rewards, reward_mask, gamma=gamma) # (B, T)
loss = (value_prediction - r2g)**2
# Take an average on only the points where mask != 0.
return np.sum(loss) / np.sum(reward_mask)
|
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] |
Computes the value loss given the prediction of the value function.
Args:
value_prediction: np.ndarray of shape (B, T+1, 1)
rewards: np.ndarray of shape (B, T) of rewards.
reward_mask: np.ndarray of shape (B, T), the mask over rewards.
gamma: float, discount factor.
Returns:
The average L2 value loss, averaged over instances where reward_mask is 1.
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/rlax/ppo.py#L458-L484
|
train
|
Computes the value loss given the prediction of the value function.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b0 + 0o62) + '\065' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1339 - 1290) + '\062' + chr(0b110111), 43055 - 43047), ehT0Px3KOsy9(chr(1594 - 1546) + '\157' + chr(0b110110) + chr(1838 - 1789), 53550 - 53542), ehT0Px3KOsy9(chr(2151 - 2103) + '\x6f' + chr(2111 - 2057) + chr(211 - 162), 8), ehT0Px3KOsy9(chr(1736 - 1688) + chr(0b1101111) + chr(143 - 94) + chr(2461 - 2408) + chr(0b11001 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(53), 56201 - 56193), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000), 32054 - 32046), ehT0Px3KOsy9(chr(1311 - 1263) + chr(0b1101111) + '\062' + '\x34' + '\060', 0o10), ehT0Px3KOsy9(chr(1353 - 1305) + '\157' + chr(0b0 + 0o67) + chr(1717 - 1666), 0b1000), ehT0Px3KOsy9('\060' + chr(7131 - 7020) + chr(0b1100 + 0o47) + '\x34' + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(667 - 617) + chr(660 - 612) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011100 + 0o23) + '\063' + chr(0b110101) + '\062', 52688 - 52680), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + '\061' + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(0b110000) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(12017 - 11906) + chr(0b110010) + chr(54) + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(0b100010 + 0o16) + chr(0b11010 + 0o32), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\066' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1 + 0o62) + '\067' + chr(1873 - 1824), 26088 - 26080), ehT0Px3KOsy9('\x30' + chr(0b101110 + 0o101) + chr(455 - 405) + '\x32' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(109 - 59) + '\063' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + chr(389 - 338) + chr(55) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(2844 - 2789) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(2143 - 2089) + chr(2364 - 2309), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3914 - 3803) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1286 - 1237) + '\067' + chr(0b1010 + 0o47), 15564 - 15556), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000 + 0o147) + chr(0b1 + 0o60) + chr(55) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + '\065' + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110100) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10110 + 0o131) + chr(1971 - 1921) + chr(48) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1011110 + 0o21) + chr(49) + chr(50) + chr(0b110111), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110000 + 0o3) + chr(52) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(52) + chr(51), 37124 - 37116), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101000 + 0o13) + chr(52) + '\060', 22896 - 22888), ehT0Px3KOsy9('\060' + chr(0b110111 + 0o70) + chr(477 - 428) + chr(1883 - 1832) + chr(0b10011 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + '\061' + chr(2563 - 2509), 39120 - 39112), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + chr(51) + chr(53) + chr(49), 3116 - 3108), ehT0Px3KOsy9('\060' + chr(0b101110 + 0o101) + chr(0b1001 + 0o52) + chr(1627 - 1574) + chr(0b110010 + 0o1), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(242 - 192) + chr(0b100001 + 0o25) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + chr(50) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110101) + chr(2018 - 1965), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2246 - 2193) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x83'), chr(100) + '\145' + chr(0b1100011) + chr(111) + '\x64' + '\145')(chr(0b1001111 + 0o46) + chr(0b101111 + 0o105) + '\146' + chr(0b11101 + 0o20) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def tyRP2X6lsxmF(e3X2fpgq_lw3, yrDfr6ll4Ijz, XQHAbMr4P4IJ, nfeH4ZtvQXsW=0.99):
(svfRBGgiDhUk, GkVqzVIYtSeO) = yrDfr6ll4Ijz.nauYfLglTpcb
assert (svfRBGgiDhUk, GkVqzVIYtSeO) == xafqLlk3kkUe(XQHAbMr4P4IJ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc36Dh\x0eQg\xcco\x93\xe5\x88'), '\144' + chr(0b1100101) + '\x63' + '\x6f' + chr(0b1100100) + chr(0b10100 + 0o121))(chr(0b1000011 + 0o62) + chr(0b1110100) + '\146' + chr(0b101101) + '\x38'))
assert (svfRBGgiDhUk, GkVqzVIYtSeO + ehT0Px3KOsy9(chr(48) + chr(7119 - 7008) + chr(49), 38131 - 38123), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10101 + 0o34), 8)) == xafqLlk3kkUe(e3X2fpgq_lw3, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc36Dh\x0eQg\xcco\x93\xe5\x88'), chr(0b1001011 + 0o31) + chr(0b11011 + 0o112) + '\143' + '\x6f' + chr(7486 - 7386) + '\145')(chr(0b1001001 + 0o54) + chr(0b1110100) + '\x66' + '\x2d' + chr(0b111000)))
e3X2fpgq_lw3 = WqUC3KWvYVup.squeeze(e3X2fpgq_lw3, axis=ehT0Px3KOsy9(chr(771 - 723) + chr(3511 - 3400) + chr(0b110010), 0b1000))
e3X2fpgq_lw3 = e3X2fpgq_lw3[:, :-ehT0Px3KOsy9('\x30' + '\x6f' + '\x31', 8)] * XQHAbMr4P4IJ
gAO9wErAO62A = TOPGlF00GNAl(yrDfr6ll4Ijz, XQHAbMr4P4IJ, gamma=nfeH4ZtvQXsW)
YpO0BcZ6fMsf = (e3X2fpgq_lw3 - gAO9wErAO62A) ** ehT0Px3KOsy9(chr(347 - 299) + '\157' + chr(50), 8)
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5<Is\x05r4\x99C\xd1\xc7\x84'), chr(0b1100100) + chr(0b1010100 + 0o21) + '\143' + '\x6f' + chr(0b1100100) + chr(0b101101 + 0o70))(chr(117) + '\x74' + chr(239 - 137) + '\x2d' + '\x38'))(YpO0BcZ6fMsf) / xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5<Is\x05r4\x99C\xd1\xc7\x84'), '\144' + chr(708 - 607) + chr(8836 - 8737) + chr(9978 - 9867) + chr(0b1100100) + chr(101))('\165' + chr(116) + chr(102) + '\x2d' + chr(0b111000)))(XQHAbMr4P4IJ)
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/rlax/ppo.py
|
deltas
|
def deltas(predicted_values, rewards, mask, gamma=0.99):
r"""Computes TD-residuals from V(s) and rewards.
Where a `delta`, i.e. a td-residual is defined as:
delta_{b,t} = r_{b,t} + \gamma * v_{b,t+1} - v_{b,t}.
Args:
predicted_values: ndarray of shape (B, T+1). NOTE: Expects axis 2 was
squeezed. These represent V(s_bt) for b < B and t < T+1
rewards: ndarray of shape (B, T) of rewards.
mask: ndarray of shape (B, T) of mask for rewards.
gamma: float, discount factor.
Returns:
ndarray of shape (B, T) of one-step TD-residuals.
"""
# `d`s are basically one-step TD residuals.
d = []
_, T = rewards.shape # pylint: disable=invalid-name
for t in range(T):
d.append(rewards[:, t] + (gamma * predicted_values[:, t + 1]) -
predicted_values[:, t])
return np.array(d).T * mask
|
python
|
def deltas(predicted_values, rewards, mask, gamma=0.99):
r"""Computes TD-residuals from V(s) and rewards.
Where a `delta`, i.e. a td-residual is defined as:
delta_{b,t} = r_{b,t} + \gamma * v_{b,t+1} - v_{b,t}.
Args:
predicted_values: ndarray of shape (B, T+1). NOTE: Expects axis 2 was
squeezed. These represent V(s_bt) for b < B and t < T+1
rewards: ndarray of shape (B, T) of rewards.
mask: ndarray of shape (B, T) of mask for rewards.
gamma: float, discount factor.
Returns:
ndarray of shape (B, T) of one-step TD-residuals.
"""
# `d`s are basically one-step TD residuals.
d = []
_, T = rewards.shape # pylint: disable=invalid-name
for t in range(T):
d.append(rewards[:, t] + (gamma * predicted_values[:, t + 1]) -
predicted_values[:, t])
return np.array(d).T * mask
|
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r"""Computes TD-residuals from V(s) and rewards.
Where a `delta`, i.e. a td-residual is defined as:
delta_{b,t} = r_{b,t} + \gamma * v_{b,t+1} - v_{b,t}.
Args:
predicted_values: ndarray of shape (B, T+1). NOTE: Expects axis 2 was
squeezed. These represent V(s_bt) for b < B and t < T+1
rewards: ndarray of shape (B, T) of rewards.
mask: ndarray of shape (B, T) of mask for rewards.
gamma: float, discount factor.
Returns:
ndarray of shape (B, T) of one-step TD-residuals.
|
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272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/rlax/ppo.py#L488-L513
|
train
|
r Compute TD - residuals from Vs and rewards.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(0b1000 + 0o53) + '\061' + chr(0b110111), 5702 - 5694), ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + chr(49) + '\x30' + chr(0b10010 + 0o37), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11110 + 0o27) + '\063', 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(5499 - 5388) + chr(0b1011 + 0o53) + chr(0b100000 + 0o25), 17427 - 17419), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(2634 - 2582) + chr(0b101100 + 0o12), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100111 + 0o12) + chr(0b1011 + 0o47) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(7137 - 7026) + chr(0b110001) + chr(967 - 912) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(1873 - 1825) + chr(11449 - 11338) + '\x31' + chr(55) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b10101 + 0o34) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100001 + 0o116) + chr(2272 - 2223) + chr(0b110000) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x37' + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(1016 - 961), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(1459 - 1410) + chr(0b110100 + 0o2), 35278 - 35270), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1010000 + 0o37) + chr(0b110011) + chr(49) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(1706 - 1653) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(2017 - 1969) + chr(0b1010000 + 0o37) + chr(0b110101) + chr(0b101 + 0o55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(1911 - 1859) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(11055 - 10944) + chr(0b101111 + 0o5), 0o10), ehT0Px3KOsy9(chr(1699 - 1651) + chr(579 - 468) + chr(50) + chr(49) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(2115 - 2067) + chr(0b1101111) + chr(0b110011) + chr(1913 - 1859) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(641 - 593) + '\157' + '\x32' + chr(2700 - 2648) + chr(906 - 855), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011111 + 0o20) + '\061' + chr(0b100000 + 0o25) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(1043 - 992) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b111111 + 0o60) + chr(0b100001 + 0o21) + '\060' + chr(0b1110 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b110100) + chr(49), 64569 - 64561), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100011 + 0o17) + chr(52), 0b1000), ehT0Px3KOsy9(chr(1683 - 1635) + chr(0b1100111 + 0o10) + chr(0b110001) + '\x32' + chr(0b101011 + 0o10), 18779 - 18771), ehT0Px3KOsy9(chr(468 - 420) + chr(111) + '\063' + chr(994 - 945) + chr(52), 0b1000), ehT0Px3KOsy9(chr(109 - 61) + '\x6f' + chr(0b110010) + chr(2590 - 2537), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + '\064' + '\064', 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + '\x31' + chr(0b110110 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(0b100010 + 0o20) + chr(1184 - 1133), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(1994 - 1946) + chr(0b110101), 43115 - 43107), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(55) + chr(0b1100 + 0o51), 9366 - 9358), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1 + 0o60) + '\x31' + '\067', 19264 - 19256), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(0b100110 + 0o14) + '\064' + chr(0b101100 + 0o13), 0b1000), ehT0Px3KOsy9(chr(48) + chr(1757 - 1646) + '\062' + '\062' + chr(0b111 + 0o51), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(11109 - 10998) + chr(509 - 456) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1'), chr(100) + chr(0b1100101) + '\143' + chr(0b1101111) + '\144' + chr(0b1100101))(chr(117) + '\x74' + chr(0b1000010 + 0o44) + '\x2d' + chr(2597 - 2541)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def USOHiz_5Qvcv(r4HG67lSyjPr, yrDfr6ll4Ijz, Iz1jSgUKZDvt, nfeH4ZtvQXsW=0.99):
pd3lxn9vqWxp = []
(VNGQdHSFPrso, GkVqzVIYtSeO) = yrDfr6ll4Ijz.nauYfLglTpcb
for YeT3l7JgTbWR in vQr8gNKaIaWE(GkVqzVIYtSeO):
xafqLlk3kkUe(pd3lxn9vqWxp, xafqLlk3kkUe(SXOLrMavuUCe(b'\xae1[P\xc86'), chr(0b10000 + 0o124) + chr(9353 - 9252) + '\143' + chr(0b11001 + 0o126) + '\x64' + chr(101))(chr(0b100110 + 0o117) + '\164' + chr(0b1100110) + '\055' + chr(0b10 + 0o66)))(yrDfr6ll4Ijz[:, YeT3l7JgTbWR] + nfeH4ZtvQXsW * r4HG67lSyjPr[:, YeT3l7JgTbWR + ehT0Px3KOsy9(chr(0b110000) + chr(3887 - 3776) + '\x31', ord("\x08"))] - r4HG67lSyjPr[:, YeT3l7JgTbWR])
return xafqLlk3kkUe(WqUC3KWvYVup.array(pd3lxn9vqWxp), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b'), chr(100) + chr(0b1100101) + chr(806 - 707) + chr(0b1101111) + chr(0b110101 + 0o57) + chr(7468 - 7367))(chr(432 - 315) + chr(9934 - 9818) + '\146' + chr(45) + chr(0b111000))) * Iz1jSgUKZDvt
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/rlax/ppo.py
|
gae_advantages
|
def gae_advantages(td_deltas, mask, lambda_=0.95, gamma=0.99):
r"""Computes the GAE advantages given the one step TD-residuals.
The formula for a GAE advantage estimator is as follows:
A_{bt} = \sum_{l=0}^{\infty}(\gamma * \lambda)^{l}(\delta_{b,t+l}).
Internally we just call rewards_to_go, since it is the same computation.
Args:
td_deltas: np.ndarray of shape (B, T) of one step TD-residuals.
mask: np.ndarray of shape (B, T) of mask for the residuals. It maybe the
case that the `td_deltas` are already masked correctly since they are
produced by `deltas(...)`
lambda_: float, lambda parameter for GAE estimators.
gamma: float, lambda parameter for GAE estimators.
Returns:
GAE advantage estimates.
"""
return rewards_to_go(td_deltas, mask, lambda_ * gamma)
|
python
|
def gae_advantages(td_deltas, mask, lambda_=0.95, gamma=0.99):
r"""Computes the GAE advantages given the one step TD-residuals.
The formula for a GAE advantage estimator is as follows:
A_{bt} = \sum_{l=0}^{\infty}(\gamma * \lambda)^{l}(\delta_{b,t+l}).
Internally we just call rewards_to_go, since it is the same computation.
Args:
td_deltas: np.ndarray of shape (B, T) of one step TD-residuals.
mask: np.ndarray of shape (B, T) of mask for the residuals. It maybe the
case that the `td_deltas` are already masked correctly since they are
produced by `deltas(...)`
lambda_: float, lambda parameter for GAE estimators.
gamma: float, lambda parameter for GAE estimators.
Returns:
GAE advantage estimates.
"""
return rewards_to_go(td_deltas, mask, lambda_ * gamma)
|
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",",
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r"""Computes the GAE advantages given the one step TD-residuals.
The formula for a GAE advantage estimator is as follows:
A_{bt} = \sum_{l=0}^{\infty}(\gamma * \lambda)^{l}(\delta_{b,t+l}).
Internally we just call rewards_to_go, since it is the same computation.
Args:
td_deltas: np.ndarray of shape (B, T) of one step TD-residuals.
mask: np.ndarray of shape (B, T) of mask for the residuals. It maybe the
case that the `td_deltas` are already masked correctly since they are
produced by `deltas(...)`
lambda_: float, lambda parameter for GAE estimators.
gamma: float, lambda parameter for GAE estimators.
Returns:
GAE advantage estimates.
|
[
"r",
"Computes",
"the",
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/rlax/ppo.py#L516-L537
|
train
|
r Computes the GAE advantages given the one step TD - residuals.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(7777 - 7666) + chr(0b10101 + 0o37) + chr(0b101111 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(0b110011) + chr(679 - 625) + chr(0b11100 + 0o25), 0o10), ehT0Px3KOsy9('\x30' + chr(12223 - 12112) + chr(0b110010) + chr(0b100010 + 0o16) + chr(0b110001), 43636 - 43628), ehT0Px3KOsy9(chr(1317 - 1269) + '\x6f' + chr(0b110001) + chr(0b110101), 45350 - 45342), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(52) + chr(0b110001), 59748 - 59740), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\065' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(6458 - 6347) + '\x31' + chr(2075 - 2023) + '\x33', 0b1000), ehT0Px3KOsy9(chr(1724 - 1676) + chr(111) + chr(2148 - 2099) + chr(0b110100) + chr(0b110011), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100111 + 0o14) + chr(0b1000 + 0o54) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + '\067' + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11100 + 0o27) + chr(0b110 + 0o56) + '\x34', 8), ehT0Px3KOsy9(chr(1331 - 1283) + '\x6f' + '\061' + '\066' + '\060', 17533 - 17525), ehT0Px3KOsy9('\x30' + chr(0b11000 + 0o127) + chr(0b110110) + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(52) + chr(0b101 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(0b1101 + 0o44) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110111 + 0o70) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b110111) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100 + 0o56) + '\066' + chr(0b101010 + 0o14), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(55) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b110000) + '\060', 47336 - 47328), ehT0Px3KOsy9(chr(839 - 791) + '\x6f' + chr(51) + '\067' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(0b110111) + chr(0b110100), 57375 - 57367), ehT0Px3KOsy9(chr(571 - 523) + '\157' + '\061' + chr(2665 - 2611) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + '\x32' + chr(51) + '\061', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b1110 + 0o46), 59697 - 59689), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(11622 - 11511) + chr(2694 - 2642), 8), ehT0Px3KOsy9(chr(563 - 515) + '\x6f' + chr(558 - 507) + chr(2745 - 2691) + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\062' + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b10001 + 0o45) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10100 + 0o36) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(48) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b110100) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2130 - 2079) + chr(53) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100110 + 0o15) + chr(1684 - 1634) + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4628 - 4517) + chr(0b100001 + 0o20) + chr(1343 - 1293) + chr(355 - 306), 0b1000), ehT0Px3KOsy9(chr(48) + chr(7711 - 7600) + chr(0b11 + 0o64) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x34' + chr(86 - 32), 47470 - 47462), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(1903 - 1850) + '\063', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b101 + 0o57) + chr(0b101000 + 0o11), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\x6f' + chr(0b110101) + '\x30', 37074 - 37066)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f'), chr(5488 - 5388) + '\x65' + chr(0b1100011) + chr(0b1000100 + 0o53) + '\x64' + '\145')(chr(0b1110101) + chr(0b1010100 + 0o40) + '\x66' + chr(582 - 537) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def jpXkJAO57nRe(wwP_1LNytmRA, Iz1jSgUKZDvt, QWarUnKldUu9=0.95, nfeH4ZtvQXsW=0.99):
return TOPGlF00GNAl(wwP_1LNytmRA, Iz1jSgUKZDvt, QWarUnKldUu9 * nfeH4ZtvQXsW)
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/rlax/ppo.py
|
chosen_probabs
|
def chosen_probabs(probab_observations, actions):
"""Picks out the probabilities of the actions along batch and time-steps.
Args:
probab_observations: ndarray of shape `[B, T+1, A]`, where
probab_observations[b, t, i] contains the log-probability of action = i at
the t^th time-step in the b^th trajectory.
actions: ndarray of shape `[B, T]`, with each entry in [0, A) denoting which
action was chosen in the b^th trajectory's t^th time-step.
Returns:
`[B, T]` ndarray with the log-probabilities of the chosen actions.
"""
B, T = actions.shape # pylint: disable=invalid-name
assert (B, T + 1) == probab_observations.shape[:2]
return probab_observations[np.arange(B)[:, None], np.arange(T), actions]
|
python
|
def chosen_probabs(probab_observations, actions):
"""Picks out the probabilities of the actions along batch and time-steps.
Args:
probab_observations: ndarray of shape `[B, T+1, A]`, where
probab_observations[b, t, i] contains the log-probability of action = i at
the t^th time-step in the b^th trajectory.
actions: ndarray of shape `[B, T]`, with each entry in [0, A) denoting which
action was chosen in the b^th trajectory's t^th time-step.
Returns:
`[B, T]` ndarray with the log-probabilities of the chosen actions.
"""
B, T = actions.shape # pylint: disable=invalid-name
assert (B, T + 1) == probab_observations.shape[:2]
return probab_observations[np.arange(B)[:, None], np.arange(T), actions]
|
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] |
Picks out the probabilities of the actions along batch and time-steps.
Args:
probab_observations: ndarray of shape `[B, T+1, A]`, where
probab_observations[b, t, i] contains the log-probability of action = i at
the t^th time-step in the b^th trajectory.
actions: ndarray of shape `[B, T]`, with each entry in [0, A) denoting which
action was chosen in the b^th trajectory's t^th time-step.
Returns:
`[B, T]` ndarray with the log-probabilities of the chosen actions.
|
[
"Picks",
"out",
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"and",
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"-",
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/rlax/ppo.py#L540-L555
|
train
|
Picks out the probabilities of the actions along batch and time - steps.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + '\062' + '\x30' + '\066', 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(1308 - 1257) + chr(0b11 + 0o56) + '\061', 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + '\x31' + '\060' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110000 + 0o3) + chr(1321 - 1272) + chr(1300 - 1251), 8), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\060' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(0b11111 + 0o24) + chr(514 - 460) + chr(49), 27461 - 27453), ehT0Px3KOsy9('\x30' + chr(0b1101110 + 0o1) + '\061' + '\x34' + chr(0b100100 + 0o21), 29625 - 29617), ehT0Px3KOsy9(chr(0b110000) + chr(0b111010 + 0o65) + '\x33' + chr(0b1011 + 0o50) + chr(0b0 + 0o61), 7153 - 7145), ehT0Px3KOsy9(chr(1287 - 1239) + chr(111) + '\061' + chr(0b11110 + 0o26) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b101100 + 0o103) + chr(0b100111 + 0o13) + chr(0b110101) + chr(1902 - 1848), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(51) + '\062', 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(0b11010 + 0o30) + chr(0b110011) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1 + 0o65), 60979 - 60971), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(0b110001) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + chr(50) + chr(0b110011) + chr(0b1111 + 0o50), 0o10), ehT0Px3KOsy9(chr(578 - 530) + chr(111) + chr(51) + '\x34' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + '\062' + chr(0b110100) + chr(0b11110 + 0o22), 60160 - 60152), ehT0Px3KOsy9('\060' + chr(111) + chr(2074 - 2024) + '\066' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(0b11111 + 0o22) + chr(0b110110) + chr(0b100010 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100100 + 0o113) + '\x32' + '\063' + chr(0b11010 + 0o32), 49588 - 49580), ehT0Px3KOsy9('\x30' + '\x6f' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(48) + chr(49), 20287 - 20279), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + '\063' + '\x30' + chr(2558 - 2504), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + '\067' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + '\063' + chr(55) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(2281 - 2233) + '\x6f' + chr(51) + '\067' + chr(677 - 623), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100101 + 0o14) + chr(0b110011) + chr(0b110111), 64655 - 64647), ehT0Px3KOsy9(chr(0b110000) + chr(0b11100 + 0o123) + chr(0b110010) + '\x35' + chr(1858 - 1803), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b111001 + 0o66) + chr(50) + chr(0b110010) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + chr(0b110001) + chr(0b1100 + 0o52) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + chr(49) + chr(2412 - 2357) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\x34' + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101001 + 0o106) + '\061' + chr(0b110000) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(2252 - 2203) + chr(0b11000 + 0o36), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b110110) + chr(1140 - 1085), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + '\062', 21399 - 21391), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10101 + 0o34) + chr(0b110101) + chr(0b110010), 19700 - 19692), ehT0Px3KOsy9('\060' + chr(12211 - 12100) + chr(0b110010) + '\064' + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101110 + 0o1) + '\x31' + '\x31' + chr(1318 - 1264), 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + chr(50) + '\060' + chr(986 - 936), 24908 - 24900)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1458 - 1410) + chr(4495 - 4384) + '\x35' + chr(48), 11525 - 11517)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(111) + '\144' + chr(4066 - 3965))(chr(0b1110101) + chr(0b1101111 + 0o5) + '\x66' + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def jeb4yk8Q_6ow(AUWcMePBokhA, WCl6VUkME_8I):
(svfRBGgiDhUk, GkVqzVIYtSeO) = WCl6VUkME_8I.nauYfLglTpcb
assert (svfRBGgiDhUk, GkVqzVIYtSeO + ehT0Px3KOsy9(chr(2264 - 2216) + chr(0b1101111) + '\061', 0b1000)) == xafqLlk3kkUe(AUWcMePBokhA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xa85\x90!\xbd\x02\xb55\xde\xf9\xfb'), chr(0b110111 + 0o55) + chr(0b1011011 + 0o12) + chr(0b111100 + 0o47) + '\157' + chr(9557 - 9457) + '\145')('\x75' + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b111000)))[:ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010), 0o10)]
return AUWcMePBokhA[xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xbb!\xa7 \x94'), '\x64' + chr(101) + chr(0b1001 + 0o132) + '\157' + chr(100) + chr(5648 - 5547))('\165' + chr(116) + '\x66' + chr(1907 - 1862) + '\x38'))(svfRBGgiDhUk)[:, None], xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xbb!\xa7 \x94'), '\144' + chr(0b1100101) + '\143' + '\157' + chr(3293 - 3193) + '\145')(chr(11504 - 11387) + '\164' + chr(102) + '\055' + '\070'))(GkVqzVIYtSeO), WCl6VUkME_8I]
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/rlax/ppo.py
|
compute_probab_ratios
|
def compute_probab_ratios(p_new, p_old, actions, reward_mask):
"""Computes the probability ratios for each time-step in a trajectory.
Args:
p_new: ndarray of shape [B, T+1, A] of the log-probabilities that the policy
network assigns to all the actions at each time-step in each batch using
the old parameters.
p_old: ndarray of shape [B, T+1, A], same as above, but using old policy
network parameters.
actions: ndarray of shape [B, T] where each element is from [0, A).
reward_mask: ndarray of shape [B, T] masking over probabilities.
Returns:
probab_ratios: ndarray of shape [B, T], where
probab_ratios_{b,t} = p_new_{b,t,action_{b,t}} / p_old_{b,t,action_{b,t}}
"""
B, T = actions.shape # pylint: disable=invalid-name
assert (B, T + 1) == p_old.shape[:2]
assert (B, T + 1) == p_new.shape[:2]
logp_old = chosen_probabs(p_old, actions)
logp_new = chosen_probabs(p_new, actions)
assert (B, T) == logp_old.shape
assert (B, T) == logp_new.shape
# Since these are log-probabilities, we just subtract them.
probab_ratios = np.exp(logp_new - logp_old) * reward_mask
assert (B, T) == probab_ratios.shape
return probab_ratios
|
python
|
def compute_probab_ratios(p_new, p_old, actions, reward_mask):
"""Computes the probability ratios for each time-step in a trajectory.
Args:
p_new: ndarray of shape [B, T+1, A] of the log-probabilities that the policy
network assigns to all the actions at each time-step in each batch using
the old parameters.
p_old: ndarray of shape [B, T+1, A], same as above, but using old policy
network parameters.
actions: ndarray of shape [B, T] where each element is from [0, A).
reward_mask: ndarray of shape [B, T] masking over probabilities.
Returns:
probab_ratios: ndarray of shape [B, T], where
probab_ratios_{b,t} = p_new_{b,t,action_{b,t}} / p_old_{b,t,action_{b,t}}
"""
B, T = actions.shape # pylint: disable=invalid-name
assert (B, T + 1) == p_old.shape[:2]
assert (B, T + 1) == p_new.shape[:2]
logp_old = chosen_probabs(p_old, actions)
logp_new = chosen_probabs(p_new, actions)
assert (B, T) == logp_old.shape
assert (B, T) == logp_new.shape
# Since these are log-probabilities, we just subtract them.
probab_ratios = np.exp(logp_new - logp_old) * reward_mask
assert (B, T) == probab_ratios.shape
return probab_ratios
|
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] |
Computes the probability ratios for each time-step in a trajectory.
Args:
p_new: ndarray of shape [B, T+1, A] of the log-probabilities that the policy
network assigns to all the actions at each time-step in each batch using
the old parameters.
p_old: ndarray of shape [B, T+1, A], same as above, but using old policy
network parameters.
actions: ndarray of shape [B, T] where each element is from [0, A).
reward_mask: ndarray of shape [B, T] masking over probabilities.
Returns:
probab_ratios: ndarray of shape [B, T], where
probab_ratios_{b,t} = p_new_{b,t,action_{b,t}} / p_old_{b,t,action_{b,t}}
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/rlax/ppo.py#L558-L588
|
train
|
Computes the probability ratios for each time - step in a trajectory.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1001100 + 0o43) + '\x31' + chr(54) + chr(643 - 588), 38896 - 38888), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b111 + 0o55) + '\x30', 55358 - 55350), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + '\062' + chr(0b0 + 0o62) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\065' + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(84 - 36) + '\065', 63767 - 63759), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(0b0 + 0o63) + chr(190 - 139) + chr(0b110011), 2188 - 2180), ehT0Px3KOsy9(chr(1256 - 1208) + chr(111) + '\061' + '\064' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(0b110011) + '\065' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(2237 - 2189) + chr(0b1001100 + 0o43) + chr(52) + chr(2561 - 2507), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10100 + 0o133) + '\x33' + chr(445 - 397) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + chr(0b100001 + 0o21) + chr(1950 - 1897), 19580 - 19572), ehT0Px3KOsy9('\060' + chr(0b1111 + 0o140) + chr(453 - 404) + '\x33' + chr(0b110000), 6463 - 6455), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1010101 + 0o32) + '\x36' + chr(93 - 45), 37260 - 37252), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(51) + '\064' + chr(2267 - 2216), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(0b110111) + chr(2016 - 1964), 0o10), ehT0Px3KOsy9(chr(681 - 633) + chr(3212 - 3101) + chr(51) + '\064', 0b1000), ehT0Px3KOsy9(chr(786 - 738) + chr(111) + chr(0b110001) + '\x35' + '\x37', 17885 - 17877), ehT0Px3KOsy9('\x30' + chr(0b100111 + 0o110) + chr(0b110001) + chr(2692 - 2637), 52695 - 52687), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(50) + chr(877 - 829), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\x32' + '\067', 8), ehT0Px3KOsy9(chr(0b110000) + chr(2828 - 2717) + chr(0b101111 + 0o3) + chr(763 - 709) + '\067', 13582 - 13574), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b10101 + 0o132) + '\061' + '\x37' + chr(0b110000), 42157 - 42149), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(55) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(1526 - 1475) + '\x34' + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1110 + 0o141) + '\x33' + chr(0b101 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(2023 - 1975) + chr(111) + chr(705 - 655) + chr(0b110 + 0o54) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + '\x34' + '\x36', 8), ehT0Px3KOsy9(chr(726 - 678) + chr(111) + chr(0b11011 + 0o30) + chr(0b111 + 0o55) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(2287 - 2238) + chr(0b100110 + 0o12) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4419 - 4308) + chr(0b110001) + '\061' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + chr(50) + chr(0b11111 + 0o22) + chr(0b100010 + 0o17), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010001 + 0o36) + chr(1287 - 1236) + '\x35' + chr(53), 16647 - 16639), ehT0Px3KOsy9('\x30' + chr(0b101 + 0o152) + chr(0b110011) + '\061' + chr(0b1000 + 0o56), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1001001 + 0o46) + chr(0b110001) + '\x33' + chr(0b101111 + 0o7), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(2714 - 2603) + chr(52) + '\x34', 0o10), ehT0Px3KOsy9(chr(698 - 650) + '\x6f' + chr(0b110011) + '\x32' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + '\x32' + chr(0b110110) + chr(0b110001 + 0o0), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(379 - 268) + chr(0b110011) + chr(1705 - 1654) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\064' + chr(51), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(8053 - 7942) + chr(0b100011 + 0o22) + chr(0b101 + 0o53), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'Y'), chr(0b1100100) + chr(0b101101 + 0o70) + chr(1738 - 1639) + chr(111) + chr(0b11001 + 0o113) + chr(101))(chr(0b11111 + 0o126) + chr(116) + '\x66' + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def e3OAsTJVjb0N(oy0kaBA4Wmtk, EYOAViOnHTkc, WCl6VUkME_8I, XQHAbMr4P4IJ):
(svfRBGgiDhUk, GkVqzVIYtSeO) = WCl6VUkME_8I.nauYfLglTpcb
assert (svfRBGgiDhUk, GkVqzVIYtSeO + ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11100 + 0o25), ord("\x08"))) == xafqLlk3kkUe(EYOAViOnHTkc, xafqLlk3kkUe(SXOLrMavuUCe(b'\x19A\xe2\xb1\xa3\x97\x01\x80r\xb6v:'), '\x64' + chr(101) + '\143' + chr(0b1101111) + '\144' + '\145')(chr(0b1011110 + 0o27) + chr(10405 - 10289) + chr(7690 - 7588) + chr(0b101101) + chr(154 - 98)))[:ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(2280 - 2169) + chr(0b111 + 0o53), 0b1000)]
assert (svfRBGgiDhUk, GkVqzVIYtSeO + ehT0Px3KOsy9('\x30' + chr(2667 - 2556) + '\061', 8)) == xafqLlk3kkUe(oy0kaBA4Wmtk, xafqLlk3kkUe(SXOLrMavuUCe(b'\x19A\xe2\xb1\xa3\x97\x01\x80r\xb6v:'), chr(0b10110 + 0o116) + chr(0b1100101) + chr(538 - 439) + chr(0b1101111) + '\144' + chr(0b101010 + 0o73))('\165' + chr(116) + chr(0b1100110) + chr(0b101101) + chr(0b111000)))[:ehT0Px3KOsy9(chr(150 - 102) + '\x6f' + chr(50), 8)]
vWejm8vQCYGP = jeb4yk8Q_6ow(EYOAViOnHTkc, WCl6VUkME_8I)
rxLynb_2oNUD = jeb4yk8Q_6ow(oy0kaBA4Wmtk, WCl6VUkME_8I)
assert (svfRBGgiDhUk, GkVqzVIYtSeO) == xafqLlk3kkUe(vWejm8vQCYGP, xafqLlk3kkUe(SXOLrMavuUCe(b'\x19A\xe2\xb1\xa3\x97\x01\x80r\xb6v:'), '\x64' + '\x65' + chr(0b1001111 + 0o24) + chr(0b1101111) + chr(0b11010 + 0o112) + chr(1980 - 1879))(chr(0b10100 + 0o141) + chr(1114 - 998) + '\x66' + chr(326 - 281) + chr(56)))
assert (svfRBGgiDhUk, GkVqzVIYtSeO) == xafqLlk3kkUe(rxLynb_2oNUD, xafqLlk3kkUe(SXOLrMavuUCe(b'\x19A\xe2\xb1\xa3\x97\x01\x80r\xb6v:'), chr(0b1100001 + 0o3) + chr(2132 - 2031) + chr(0b1100011) + '\x6f' + chr(0b1010011 + 0o21) + '\x65')(chr(2271 - 2154) + chr(116) + chr(0b1100110) + chr(45) + chr(56)))
uSym4rCalwQn = WqUC3KWvYVup.exp(rxLynb_2oNUD - vWejm8vQCYGP) * XQHAbMr4P4IJ
assert (svfRBGgiDhUk, GkVqzVIYtSeO) == xafqLlk3kkUe(uSym4rCalwQn, xafqLlk3kkUe(SXOLrMavuUCe(b'\x19A\xe2\xb1\xa3\x97\x01\x80r\xb6v:'), chr(3886 - 3786) + chr(4613 - 4512) + chr(0b111110 + 0o45) + chr(2974 - 2863) + '\144' + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(0b10111 + 0o117) + chr(0b111 + 0o46) + chr(0b110101 + 0o3)))
return uSym4rCalwQn
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/rlax/ppo.py
|
ppo_loss
|
def ppo_loss(policy_net_apply,
new_policy_params,
old_policy_params,
value_net_apply,
value_net_params,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
gamma=0.99,
lambda_=0.95,
epsilon=0.2):
"""PPO objective, with an eventual minus sign, given observations."""
B, T = padded_rewards.shape # pylint: disable=invalid-name
assert (B, T + 1) == padded_observations.shape[:2]
assert (B, T) == padded_actions.shape
assert (B, T) == padded_rewards.shape
assert (B, T) == reward_mask.shape
# Compute predicted values and predicted log-probs and hand it over to
# `ppo_loss_given_predictions`.
# (B, T+1, 1)
predicted_values = value_net_apply(padded_observations, value_net_params)
assert (B, T + 1, 1) == predicted_values.shape
# log_probab_actions_{old,new} are both (B, T+1, A)
log_probab_actions_old = policy_net_apply(padded_observations,
old_policy_params)
log_probab_actions_new = policy_net_apply(padded_observations,
new_policy_params)
assert (B, T + 1) == log_probab_actions_old.shape[:2]
assert (B, T + 1) == log_probab_actions_new.shape[:2]
assert log_probab_actions_old.shape[-1] == log_probab_actions_new.shape[-1]
return ppo_loss_given_predictions(log_probab_actions_new,
log_probab_actions_old,
predicted_values,
padded_actions,
padded_rewards,
reward_mask,
gamma=gamma,
lambda_=lambda_,
epsilon=epsilon)
|
python
|
def ppo_loss(policy_net_apply,
new_policy_params,
old_policy_params,
value_net_apply,
value_net_params,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
gamma=0.99,
lambda_=0.95,
epsilon=0.2):
"""PPO objective, with an eventual minus sign, given observations."""
B, T = padded_rewards.shape # pylint: disable=invalid-name
assert (B, T + 1) == padded_observations.shape[:2]
assert (B, T) == padded_actions.shape
assert (B, T) == padded_rewards.shape
assert (B, T) == reward_mask.shape
# Compute predicted values and predicted log-probs and hand it over to
# `ppo_loss_given_predictions`.
# (B, T+1, 1)
predicted_values = value_net_apply(padded_observations, value_net_params)
assert (B, T + 1, 1) == predicted_values.shape
# log_probab_actions_{old,new} are both (B, T+1, A)
log_probab_actions_old = policy_net_apply(padded_observations,
old_policy_params)
log_probab_actions_new = policy_net_apply(padded_observations,
new_policy_params)
assert (B, T + 1) == log_probab_actions_old.shape[:2]
assert (B, T + 1) == log_probab_actions_new.shape[:2]
assert log_probab_actions_old.shape[-1] == log_probab_actions_new.shape[-1]
return ppo_loss_given_predictions(log_probab_actions_new,
log_probab_actions_old,
predicted_values,
padded_actions,
padded_rewards,
reward_mask,
gamma=gamma,
lambda_=lambda_,
epsilon=epsilon)
|
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PPO objective, with an eventual minus sign, given observations.
|
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272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/rlax/ppo.py#L602-L645
|
train
|
PPO objective.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b110110) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11010 + 0o27) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + chr(0b110010) + '\x33' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(1869 - 1821) + '\157' + chr(552 - 501) + chr(531 - 481) + chr(1691 - 1640), 25772 - 25764), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101 + 0o55) + chr(1607 - 1555) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(9743 - 9632) + chr(0b101 + 0o57) + chr(0b101000 + 0o17), ord("\x08")), ehT0Px3KOsy9('\060' + chr(5551 - 5440) + '\063' + '\x34' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + '\060' + '\x36', 2991 - 2983), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(53) + '\x32', 47175 - 47167), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(1995 - 1884) + chr(0b101111 + 0o4) + chr(0b11 + 0o55) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(466 - 418) + chr(111) + '\x32' + '\063' + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\065' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + '\062' + chr(1204 - 1152) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2037 - 1986) + chr(685 - 634) + chr(1160 - 1111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011011 + 0o24) + '\061' + chr(54) + chr(0b100100 + 0o16), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(54) + '\066', 22997 - 22989), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(0b111 + 0o52) + chr(0b11111 + 0o25) + chr(0b110110), 56355 - 56347), ehT0Px3KOsy9(chr(0b110000) + chr(0b100 + 0o153) + chr(0b110011) + '\x31' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + '\x33' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1000 + 0o51) + '\x35' + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + '\061' + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(5933 - 5822) + chr(50) + chr(0b110111) + chr(0b110010), 34525 - 34517), ehT0Px3KOsy9(chr(48) + chr(10811 - 10700) + chr(49) + chr(55) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7416 - 7305) + '\061' + '\x33' + chr(0b11010 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + '\x33' + '\x33', 62911 - 62903), ehT0Px3KOsy9(chr(730 - 682) + chr(111) + '\x31' + chr(54) + chr(0b110101), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b110111) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(12223 - 12112) + chr(49) + '\x33' + chr(0b100001 + 0o25), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + chr(0b101110 + 0o7) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(1068 - 1020) + chr(0b1100101 + 0o12) + '\064' + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(361 - 250) + '\061' + chr(1805 - 1756) + chr(0b101 + 0o62), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(55) + chr(0b1 + 0o63), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(1652 - 1599) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + '\062' + chr(0b110011) + chr(0b11000 + 0o37), 38853 - 38845), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(59 - 9) + '\x32' + chr(51), 0o10), ehT0Px3KOsy9('\060' + chr(11357 - 11246) + chr(0b110001) + '\x35' + '\066', 8), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b10111 + 0o130) + chr(0b100001 + 0o21) + chr(0b101010 + 0o15) + chr(52), 62801 - 62793), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + chr(561 - 511) + '\x35' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101011 + 0o4) + chr(0b110010) + chr(52) + chr(49), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100101 + 0o20) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'['), chr(3216 - 3116) + chr(0b1100101) + chr(0b110011 + 0o60) + chr(0b11001 + 0o126) + '\144' + '\145')(chr(117) + chr(0b1110100) + '\x66' + chr(0b10110 + 0o27) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def JxiXJ7NpOWeq(DYAsNSGdPSKF, lDXmsY5aXxwa, dNLZJi54D3p9, DaOmOlPiny62, pxQoR1yY3Pb1, NMTtGzIbULOi, bZuN4w5tzORn, cf1aO4AiTN9J, XQHAbMr4P4IJ, nfeH4ZtvQXsW=0.99, QWarUnKldUu9=0.95, Xtig2zAKpR0T=0.2):
(svfRBGgiDhUk, GkVqzVIYtSeO) = cf1aO4AiTN9J.nauYfLglTpcb
assert (svfRBGgiDhUk, GkVqzVIYtSeO + ehT0Px3KOsy9('\060' + chr(0b11111 + 0o120) + chr(2217 - 2168), 0b1000)) == xafqLlk3kkUe(NMTtGzIbULOi, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bm\xef\x8a\xc4k\x84*>\xb5\xf8\x0c'), chr(1095 - 995) + '\x65' + chr(6156 - 6057) + '\x6f' + chr(9717 - 9617) + chr(101))(chr(0b1110100 + 0o1) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + '\x38'))[:ehT0Px3KOsy9('\060' + chr(1240 - 1129) + chr(50), 38880 - 38872)]
assert (svfRBGgiDhUk, GkVqzVIYtSeO) == xafqLlk3kkUe(bZuN4w5tzORn, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bm\xef\x8a\xc4k\x84*>\xb5\xf8\x0c'), chr(100) + chr(0b1010001 + 0o24) + chr(6129 - 6030) + '\157' + '\144' + chr(101))('\165' + '\x74' + '\146' + chr(0b101101) + chr(56)))
assert (svfRBGgiDhUk, GkVqzVIYtSeO) == xafqLlk3kkUe(cf1aO4AiTN9J, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bm\xef\x8a\xc4k\x84*>\xb5\xf8\x0c'), chr(0b1100100) + '\145' + chr(0b1001001 + 0o32) + chr(0b1001000 + 0o47) + chr(100) + chr(0b11000 + 0o115))(chr(4763 - 4646) + chr(0b1010001 + 0o43) + '\146' + chr(0b0 + 0o55) + chr(1923 - 1867)))
assert (svfRBGgiDhUk, GkVqzVIYtSeO) == xafqLlk3kkUe(XQHAbMr4P4IJ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bm\xef\x8a\xc4k\x84*>\xb5\xf8\x0c'), chr(6477 - 6377) + chr(0b1000100 + 0o41) + chr(1797 - 1698) + chr(111) + '\144' + chr(0b1010101 + 0o20))(chr(10408 - 10291) + chr(1575 - 1459) + chr(0b1100110) + '\x2d' + chr(56)))
r4HG67lSyjPr = DaOmOlPiny62(NMTtGzIbULOi, pxQoR1yY3Pb1)
assert (svfRBGgiDhUk, GkVqzVIYtSeO + ehT0Px3KOsy9('\060' + chr(111) + '\061', 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x31', 8)) == xafqLlk3kkUe(r4HG67lSyjPr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bm\xef\x8a\xc4k\x84*>\xb5\xf8\x0c'), '\144' + chr(0b11100 + 0o111) + chr(99) + chr(0b1101111) + '\x64' + chr(101))(chr(117) + chr(7710 - 7594) + chr(8073 - 7971) + chr(1453 - 1408) + '\x38'))
D5ni30Kj7S7B = DYAsNSGdPSKF(NMTtGzIbULOi, dNLZJi54D3p9)
a22SmayoDqUa = DYAsNSGdPSKF(NMTtGzIbULOi, lDXmsY5aXxwa)
assert (svfRBGgiDhUk, GkVqzVIYtSeO + ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(49), 8)) == xafqLlk3kkUe(D5ni30Kj7S7B, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bm\xef\x8a\xc4k\x84*>\xb5\xf8\x0c'), '\x64' + chr(602 - 501) + chr(0b1100011) + chr(111) + '\144' + chr(0b110100 + 0o61))(chr(0b1110101) + chr(116) + '\x66' + '\x2d' + chr(0b111000)))[:ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + '\062', 8)]
assert (svfRBGgiDhUk, GkVqzVIYtSeO + ehT0Px3KOsy9('\x30' + '\157' + chr(49), 8)) == xafqLlk3kkUe(a22SmayoDqUa, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bm\xef\x8a\xc4k\x84*>\xb5\xf8\x0c'), chr(0b1011010 + 0o12) + '\x65' + '\x63' + chr(5696 - 5585) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + '\x38'))[:ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(0b101100 + 0o6), 8)]
assert xafqLlk3kkUe(D5ni30Kj7S7B, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bm\xef\x8a\xc4k\x84*>\xb5\xf8\x0c'), chr(4073 - 3973) + '\145' + chr(0b1100011) + '\157' + chr(0b1100100) + chr(0b10101 + 0o120))(chr(0b101011 + 0o112) + '\164' + '\146' + '\x2d' + '\x38'))[-ehT0Px3KOsy9(chr(1846 - 1798) + chr(111) + '\061', 8)] == xafqLlk3kkUe(a22SmayoDqUa, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bm\xef\x8a\xc4k\x84*>\xb5\xf8\x0c'), chr(100) + chr(0b11111 + 0o106) + '\x63' + chr(5878 - 5767) + '\x64' + chr(0b1100101))(chr(0b111 + 0o156) + '\x74' + chr(0b1100 + 0o132) + chr(45) + '\070'))[-ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10100 + 0o35), 8)]
return WoZLnpdRj7vr(a22SmayoDqUa, D5ni30Kj7S7B, r4HG67lSyjPr, bZuN4w5tzORn, cf1aO4AiTN9J, XQHAbMr4P4IJ, gamma=nfeH4ZtvQXsW, lambda_=QWarUnKldUu9, epsilon=Xtig2zAKpR0T)
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/rlax/ppo.py
|
ppo_loss_given_predictions
|
def ppo_loss_given_predictions(log_probab_actions_new,
log_probab_actions_old,
predicted_values,
padded_actions,
padded_rewards,
reward_mask,
gamma=0.99,
lambda_=0.95,
epsilon=0.2):
"""PPO objective, with an eventual minus sign, given predictions."""
B, T = padded_rewards.shape # pylint: disable=invalid-name
assert (B, T) == padded_actions.shape
assert (B, T) == reward_mask.shape
_, _, A = log_probab_actions_old.shape # pylint: disable=invalid-name
assert (B, T + 1, 1) == predicted_values.shape
assert (B, T + 1, A) == log_probab_actions_old.shape
assert (B, T + 1, A) == log_probab_actions_new.shape
# (B, T)
td_deltas = deltas(
np.squeeze(predicted_values, axis=2), # (B, T+1)
padded_rewards,
reward_mask,
gamma=gamma)
# (B, T)
advantages = gae_advantages(
td_deltas, reward_mask, lambda_=lambda_, gamma=gamma)
# (B, T)
ratios = compute_probab_ratios(log_probab_actions_new,
log_probab_actions_old,
padded_actions,
reward_mask)
assert (B, T) == ratios.shape
# (B, T)
objective = clipped_objective(
ratios, advantages, reward_mask, epsilon=epsilon)
assert (B, T) == objective.shape
# ()
average_objective = np.sum(objective) / np.sum(reward_mask)
# Loss is negative objective.
return -average_objective
|
python
|
def ppo_loss_given_predictions(log_probab_actions_new,
log_probab_actions_old,
predicted_values,
padded_actions,
padded_rewards,
reward_mask,
gamma=0.99,
lambda_=0.95,
epsilon=0.2):
"""PPO objective, with an eventual minus sign, given predictions."""
B, T = padded_rewards.shape # pylint: disable=invalid-name
assert (B, T) == padded_actions.shape
assert (B, T) == reward_mask.shape
_, _, A = log_probab_actions_old.shape # pylint: disable=invalid-name
assert (B, T + 1, 1) == predicted_values.shape
assert (B, T + 1, A) == log_probab_actions_old.shape
assert (B, T + 1, A) == log_probab_actions_new.shape
# (B, T)
td_deltas = deltas(
np.squeeze(predicted_values, axis=2), # (B, T+1)
padded_rewards,
reward_mask,
gamma=gamma)
# (B, T)
advantages = gae_advantages(
td_deltas, reward_mask, lambda_=lambda_, gamma=gamma)
# (B, T)
ratios = compute_probab_ratios(log_probab_actions_new,
log_probab_actions_old,
padded_actions,
reward_mask)
assert (B, T) == ratios.shape
# (B, T)
objective = clipped_objective(
ratios, advantages, reward_mask, epsilon=epsilon)
assert (B, T) == objective.shape
# ()
average_objective = np.sum(objective) / np.sum(reward_mask)
# Loss is negative objective.
return -average_objective
|
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] |
PPO objective, with an eventual minus sign, given predictions.
|
[
"PPO",
"objective",
"with",
"an",
"eventual",
"minus",
"sign",
"given",
"predictions",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/rlax/ppo.py#L649-L695
|
train
|
PPO objective with an eventual minus sign given predictions.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + '\064' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1817 - 1768) + '\065' + chr(52), 22464 - 22456), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(49) + chr(2143 - 2095), 64433 - 64425), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100101 + 0o12) + chr(50) + '\060' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101010 + 0o105) + chr(49) + '\x33' + chr(875 - 822), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b0 + 0o157) + '\x33' + '\061' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1 + 0o61) + chr(606 - 557) + '\x36', 65051 - 65043), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b0 + 0o63) + chr(1529 - 1481), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(0b110100) + chr(1679 - 1624), 0o10), ehT0Px3KOsy9(chr(1436 - 1388) + '\157' + chr(0b110001 + 0o1) + '\066' + '\066', 53148 - 53140), ehT0Px3KOsy9(chr(48) + chr(7631 - 7520) + chr(0b110010) + '\x34' + '\065', 64374 - 64366), ehT0Px3KOsy9(chr(0b110000) + chr(0b100100 + 0o113) + '\061' + chr(50), 43528 - 43520), ehT0Px3KOsy9(chr(1071 - 1023) + chr(0b1101111) + chr(0b110010) + '\x35' + chr(0b1011 + 0o52), 55373 - 55365), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b101010 + 0o13), 49787 - 49779), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(2195 - 2084) + '\x31' + chr(0b10 + 0o64) + chr(0b100011 + 0o15), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b10001 + 0o136) + '\x32' + chr(0b1011 + 0o52) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(0b110000) + chr(0b11 + 0o62), 6409 - 6401), ehT0Px3KOsy9(chr(48) + chr(0b111101 + 0o62) + chr(0b110001) + chr(52) + chr(0b11110 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + '\x33' + chr(2379 - 2326), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + chr(0b111 + 0o53) + '\x31' + '\062', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b110000) + chr(0b1010 + 0o46), 0b1000), ehT0Px3KOsy9(chr(1017 - 969) + '\157' + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2270 - 2221) + chr(53) + chr(0b11111 + 0o25), 8), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\062' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(535 - 424) + '\063' + chr(0b10000 + 0o43) + chr(2162 - 2107), 43981 - 43973), ehT0Px3KOsy9('\x30' + '\157' + chr(267 - 218) + '\061' + chr(0b100001 + 0o23), ord("\x08")), ehT0Px3KOsy9(chr(1665 - 1617) + chr(0b101110 + 0o101) + chr(51) + chr(0b1100 + 0o45) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + '\062' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + chr(49) + chr(0b1100 + 0o53) + chr(1406 - 1355), 4360 - 4352), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + '\x35' + chr(181 - 131), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110000 + 0o1) + '\x30' + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1000010 + 0o55) + chr(51) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100 + 0o153) + '\063' + chr(2719 - 2664) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(7470 - 7359) + '\063' + '\x36' + chr(0b1010 + 0o54), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\066' + '\x36', 0b1000), ehT0Px3KOsy9(chr(722 - 674) + chr(0b111010 + 0o65) + chr(0b1101 + 0o46) + chr(0b110111) + chr(0b11111 + 0o21), 56679 - 56671), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + '\x33' + chr(1027 - 973) + chr(0b110001), 27541 - 27533), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(11035 - 10924) + chr(50) + '\x37' + chr(2336 - 2287), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(1738 - 1627) + '\x35' + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\t'), chr(9807 - 9707) + '\x65' + '\143' + chr(11991 - 11880) + '\144' + '\145')('\x75' + '\164' + chr(0b1100110) + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def WoZLnpdRj7vr(a22SmayoDqUa, D5ni30Kj7S7B, r4HG67lSyjPr, bZuN4w5tzORn, cf1aO4AiTN9J, XQHAbMr4P4IJ, nfeH4ZtvQXsW=0.99, QWarUnKldUu9=0.95, Xtig2zAKpR0T=0.2):
(svfRBGgiDhUk, GkVqzVIYtSeO) = cf1aO4AiTN9J.nauYfLglTpcb
assert (svfRBGgiDhUk, GkVqzVIYtSeO) == xafqLlk3kkUe(bZuN4w5tzORn, xafqLlk3kkUe(SXOLrMavuUCe(b'Ii\x19X.\xce:\xa2\xdah\x04\xd4'), chr(9499 - 9399) + chr(0b1100101) + '\x63' + chr(0b1001101 + 0o42) + chr(100) + '\145')(chr(117) + '\x74' + chr(3579 - 3477) + chr(45) + chr(56)))
assert (svfRBGgiDhUk, GkVqzVIYtSeO) == xafqLlk3kkUe(XQHAbMr4P4IJ, xafqLlk3kkUe(SXOLrMavuUCe(b'Ii\x19X.\xce:\xa2\xdah\x04\xd4'), chr(0b1001001 + 0o33) + chr(0b1100101) + '\143' + '\157' + chr(9542 - 9442) + '\145')(chr(117) + chr(116) + chr(3153 - 3051) + chr(45) + chr(2127 - 2071)))
(VNGQdHSFPrso, VNGQdHSFPrso, cBPpZOWkAViC) = D5ni30Kj7S7B.nauYfLglTpcb
assert (svfRBGgiDhUk, GkVqzVIYtSeO + ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(9531 - 9420) + chr(0b1010 + 0o47), 8), ehT0Px3KOsy9(chr(1587 - 1539) + chr(0b1010110 + 0o31) + '\x31', 8)) == xafqLlk3kkUe(r4HG67lSyjPr, xafqLlk3kkUe(SXOLrMavuUCe(b'Ii\x19X.\xce:\xa2\xdah\x04\xd4'), '\144' + chr(0b1100101) + '\x63' + '\157' + '\144' + chr(1311 - 1210))(chr(7965 - 7848) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + '\x38'))
assert (svfRBGgiDhUk, GkVqzVIYtSeO + ehT0Px3KOsy9(chr(48) + chr(0b1000010 + 0o55) + '\x31', 8), cBPpZOWkAViC) == xafqLlk3kkUe(D5ni30Kj7S7B, xafqLlk3kkUe(SXOLrMavuUCe(b'Ii\x19X.\xce:\xa2\xdah\x04\xd4'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(8254 - 8154) + chr(2021 - 1920))(chr(9386 - 9269) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b1 + 0o67)))
assert (svfRBGgiDhUk, GkVqzVIYtSeO + ehT0Px3KOsy9('\x30' + '\157' + chr(337 - 288), 8), cBPpZOWkAViC) == xafqLlk3kkUe(a22SmayoDqUa, xafqLlk3kkUe(SXOLrMavuUCe(b'Ii\x19X.\xce:\xa2\xdah\x04\xd4'), '\144' + chr(0b1100101) + '\x63' + chr(6031 - 5920) + '\144' + chr(0b1010100 + 0o21))('\165' + chr(11312 - 11196) + chr(102) + chr(0b101101) + chr(56)))
wwP_1LNytmRA = USOHiz_5Qvcv(WqUC3KWvYVup.squeeze(r4HG67lSyjPr, axis=ehT0Px3KOsy9('\060' + '\157' + chr(638 - 588), 0o10)), cf1aO4AiTN9J, XQHAbMr4P4IJ, gamma=nfeH4ZtvQXsW)
zatCT4UCxzLt = jpXkJAO57nRe(wwP_1LNytmRA, XQHAbMr4P4IJ, lambda_=QWarUnKldUu9, gamma=nfeH4ZtvQXsW)
I_jsLlYDecis = e3OAsTJVjb0N(a22SmayoDqUa, D5ni30Kj7S7B, bZuN4w5tzORn, XQHAbMr4P4IJ)
assert (svfRBGgiDhUk, GkVqzVIYtSeO) == xafqLlk3kkUe(I_jsLlYDecis, xafqLlk3kkUe(SXOLrMavuUCe(b'Ii\x19X.\xce:\xa2\xdah\x04\xd4'), chr(6430 - 6330) + chr(0b1011001 + 0o14) + '\x63' + '\x6f' + '\x64' + '\x65')(chr(0b1011011 + 0o32) + chr(3676 - 3560) + chr(0b100010 + 0o104) + chr(0b101 + 0o50) + '\x38'))
Ky8KMSzRafTo = TiMzEDLvNIdM(I_jsLlYDecis, zatCT4UCxzLt, XQHAbMr4P4IJ, epsilon=Xtig2zAKpR0T)
assert (svfRBGgiDhUk, GkVqzVIYtSeO) == xafqLlk3kkUe(Ky8KMSzRafTo, xafqLlk3kkUe(SXOLrMavuUCe(b'Ii\x19X.\xce:\xa2\xdah\x04\xd4'), '\144' + chr(0b1100101) + chr(99) + chr(111) + chr(7599 - 7499) + '\145')(chr(2606 - 2489) + chr(0b101000 + 0o114) + chr(6536 - 6434) + chr(0b1010 + 0o43) + chr(56)))
lwEfVOqOVaGy = WqUC3KWvYVup.xkxBmo49x2An(Ky8KMSzRafTo) / WqUC3KWvYVup.xkxBmo49x2An(XQHAbMr4P4IJ)
return -lwEfVOqOVaGy
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/rlax/ppo.py
|
combined_loss_given_predictions
|
def combined_loss_given_predictions(log_probab_actions_new,
log_probab_actions_old,
value_prediction,
padded_actions,
padded_rewards,
reward_mask,
gamma=0.99,
lambda_=0.95,
epsilon=0.2,
c1=1.0,
c2=0.01):
"""Computes the combined (clipped loss + value loss) given predictions."""
loss_value = value_loss_given_predictions(
value_prediction, padded_rewards, reward_mask, gamma=gamma)
loss_ppo = ppo_loss_given_predictions(log_probab_actions_new,
log_probab_actions_old,
value_prediction,
padded_actions,
padded_rewards,
reward_mask,
gamma=gamma,
lambda_=lambda_,
epsilon=epsilon)
# TODO(afrozm): Add the entropy bonus, but since we don't do that in T2T
# we'll skip if for now.
entropy_bonus = 0.0
return (loss_ppo + (c1 * loss_value) - (c2 * entropy_bonus), loss_ppo,
loss_value, entropy_bonus)
|
python
|
def combined_loss_given_predictions(log_probab_actions_new,
log_probab_actions_old,
value_prediction,
padded_actions,
padded_rewards,
reward_mask,
gamma=0.99,
lambda_=0.95,
epsilon=0.2,
c1=1.0,
c2=0.01):
"""Computes the combined (clipped loss + value loss) given predictions."""
loss_value = value_loss_given_predictions(
value_prediction, padded_rewards, reward_mask, gamma=gamma)
loss_ppo = ppo_loss_given_predictions(log_probab_actions_new,
log_probab_actions_old,
value_prediction,
padded_actions,
padded_rewards,
reward_mask,
gamma=gamma,
lambda_=lambda_,
epsilon=epsilon)
# TODO(afrozm): Add the entropy bonus, but since we don't do that in T2T
# we'll skip if for now.
entropy_bonus = 0.0
return (loss_ppo + (c1 * loss_value) - (c2 * entropy_bonus), loss_ppo,
loss_value, entropy_bonus)
|
[
"def",
"combined_loss_given_predictions",
"(",
"log_probab_actions_new",
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"log_probab_actions_old",
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"value_prediction",
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"padded_actions",
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"padded_rewards",
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"entropy_bonus",
")",
",",
"loss_ppo",
",",
"loss_value",
",",
"entropy_bonus",
")"
] |
Computes the combined (clipped loss + value loss) given predictions.
|
[
"Computes",
"the",
"combined",
"(",
"clipped",
"loss",
"+",
"value",
"loss",
")",
"given",
"predictions",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/rlax/ppo.py#L699-L726
|
train
|
Computes the combined loss given predictions.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10111 + 0o34) + chr(0b101111 + 0o3) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1011101 + 0o22) + '\066' + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(527 - 416) + chr(0b110010) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(52) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101010 + 0o105) + chr(0b10 + 0o57) + '\x31' + chr(0b1000 + 0o56), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\x35' + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101011 + 0o104) + chr(50) + chr(0b11 + 0o56), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101101 + 0o4) + chr(0b110001) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(0b100000 + 0o22) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(0b11111 + 0o120) + '\061' + chr(55) + chr(0b110 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(622 - 574) + '\157' + chr(52) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x37' + '\x37', 188 - 180), ehT0Px3KOsy9('\060' + '\x6f' + chr(1582 - 1532) + chr(1218 - 1168) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(133 - 80) + '\x32', 36847 - 36839), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010000 + 0o37) + '\x31' + chr(0b100000 + 0o26) + chr(0b110000 + 0o7), 0b1000), ehT0Px3KOsy9(chr(1974 - 1926) + chr(111) + '\x33' + chr(0b110011) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1492 - 1443) + chr(0b110110) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(55) + chr(1632 - 1582), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(920 - 868) + '\062', 46998 - 46990), ehT0Px3KOsy9('\060' + chr(10510 - 10399) + '\x33' + '\064', 8050 - 8042), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110111) + '\x33', 0o10), ehT0Px3KOsy9(chr(1773 - 1725) + chr(0b1101111) + '\066', 3013 - 3005), ehT0Px3KOsy9('\060' + '\157' + chr(0b110100) + chr(0b10000 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + '\066' + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(979 - 926), 0b1000), ehT0Px3KOsy9(chr(1451 - 1403) + chr(111) + chr(2344 - 2291) + chr(0b110001 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(1635 - 1587) + chr(9419 - 9308) + chr(54) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(4877 - 4766) + '\x31' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\063' + '\x33' + chr(2217 - 2166), 12454 - 12446), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\064' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1154 - 1043) + chr(0b100110 + 0o13) + '\x37' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(302 - 248) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + chr(1931 - 1880) + '\061' + chr(698 - 647), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\x34' + chr(0b101101 + 0o6), 64310 - 64302), ehT0Px3KOsy9(chr(1862 - 1814) + chr(7675 - 7564) + '\066' + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010010 + 0o35) + chr(0b110010) + '\062' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + '\x33' + chr(55) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\064' + '\x35', 0b1000), ehT0Px3KOsy9(chr(1061 - 1013) + '\x6f' + chr(446 - 397) + '\067' + chr(0b1 + 0o62), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + chr(53) + chr(0b110000), 29500 - 29492)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfe'), chr(0b10000 + 0o124) + chr(1382 - 1281) + chr(99) + chr(0b1101111) + chr(3846 - 3746) + chr(0b101011 + 0o72))('\x75' + '\x74' + '\x66' + '\055' + chr(2639 - 2583)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def qzu3psiQoGde(a22SmayoDqUa, D5ni30Kj7S7B, e3X2fpgq_lw3, bZuN4w5tzORn, cf1aO4AiTN9J, XQHAbMr4P4IJ, nfeH4ZtvQXsW=0.99, QWarUnKldUu9=0.95, Xtig2zAKpR0T=0.2, TpThDjlWvpLw=1.0, p_VTgDPfRD4V=0.01):
P4Qtw75n3fxa = tyRP2X6lsxmF(e3X2fpgq_lw3, cf1aO4AiTN9J, XQHAbMr4P4IJ, gamma=nfeH4ZtvQXsW)
gwsZrOuKe5CS = WoZLnpdRj7vr(a22SmayoDqUa, D5ni30Kj7S7B, e3X2fpgq_lw3, bZuN4w5tzORn, cf1aO4AiTN9J, XQHAbMr4P4IJ, gamma=nfeH4ZtvQXsW, lambda_=QWarUnKldUu9, epsilon=Xtig2zAKpR0T)
Xbnj8oBR8ZZG = 0.0
return (gwsZrOuKe5CS + TpThDjlWvpLw * P4Qtw75n3fxa - p_VTgDPfRD4V * Xbnj8oBR8ZZG, gwsZrOuKe5CS, P4Qtw75n3fxa, Xbnj8oBR8ZZG)
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/rlax/ppo.py
|
combined_loss
|
def combined_loss(new_params,
old_params,
policy_and_value_net_apply,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
gamma=0.99,
lambda_=0.95,
epsilon=0.2,
c1=1.0,
c2=0.01):
"""Computes the combined (clipped loss + value loss) given observations."""
log_probab_actions_new, value_predictions = policy_and_value_net_apply(
padded_observations, new_params)
log_probab_actions_old, _ = policy_and_value_net_apply(
padded_observations, old_params)
# (combined_loss, ppo_loss, value_loss, entropy_bonus)
return combined_loss_given_predictions(log_probab_actions_new,
log_probab_actions_old,
value_predictions,
padded_actions,
padded_rewards,
reward_mask,
c1=c1,
c2=c2,
gamma=gamma,
lambda_=lambda_,
epsilon=epsilon)
|
python
|
def combined_loss(new_params,
old_params,
policy_and_value_net_apply,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
gamma=0.99,
lambda_=0.95,
epsilon=0.2,
c1=1.0,
c2=0.01):
"""Computes the combined (clipped loss + value loss) given observations."""
log_probab_actions_new, value_predictions = policy_and_value_net_apply(
padded_observations, new_params)
log_probab_actions_old, _ = policy_and_value_net_apply(
padded_observations, old_params)
# (combined_loss, ppo_loss, value_loss, entropy_bonus)
return combined_loss_given_predictions(log_probab_actions_new,
log_probab_actions_old,
value_predictions,
padded_actions,
padded_rewards,
reward_mask,
c1=c1,
c2=c2,
gamma=gamma,
lambda_=lambda_,
epsilon=epsilon)
|
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"=",
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] |
Computes the combined (clipped loss + value loss) given observations.
|
[
"Computes",
"the",
"combined",
"(",
"clipped",
"loss",
"+",
"value",
"loss",
")",
"given",
"observations",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/rlax/ppo.py#L731-L761
|
train
|
Computes the combined loss given observations.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1 + 0o62) + '\x35' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(1178 - 1130) + chr(6870 - 6759) + '\066' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(9586 - 9475) + chr(0b10101 + 0o36) + chr(0b110110) + '\x30', 26958 - 26950), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + chr(0b0 + 0o64) + chr(2350 - 2301), 48722 - 48714), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\x32' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(669 - 615) + chr(51), 34138 - 34130), ehT0Px3KOsy9('\060' + '\157' + '\066' + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110000) + chr(10779 - 10668) + chr(0b110001) + chr(479 - 427) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000001 + 0o56) + chr(0b110011) + '\063' + '\x30', 27467 - 27459), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(54) + chr(0b110111), 59892 - 59884), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(2613 - 2502) + chr(0b110011) + chr(55) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(0b100001 + 0o17) + '\x32', 15390 - 15382), ehT0Px3KOsy9(chr(511 - 463) + '\x6f' + '\062' + chr(0b101000 + 0o17) + chr(0b101 + 0o62), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10001 + 0o136) + chr(0b110001) + chr(0b110100) + chr(0b10111 + 0o32), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b100100 + 0o17) + chr(48) + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(0b1000001 + 0o56) + chr(0b100011 + 0o20) + chr(0b101 + 0o54) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11000 + 0o127) + '\x32' + chr(0b1 + 0o60) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(0b100111 + 0o16) + chr(705 - 655), ord("\x08")), ehT0Px3KOsy9(chr(677 - 629) + chr(111) + '\x31' + '\x33' + chr(48), 10135 - 10127), ehT0Px3KOsy9(chr(861 - 813) + chr(0b1101111) + chr(1240 - 1191) + '\x34' + chr(1003 - 955), 0b1000), ehT0Px3KOsy9(chr(2230 - 2182) + '\x6f' + '\062' + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100110 + 0o13) + chr(0b0 + 0o63) + chr(0b101001 + 0o12), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011011 + 0o24) + '\x32' + chr(0b101001 + 0o14) + chr(0b1000 + 0o50), 54361 - 54353), ehT0Px3KOsy9('\060' + chr(111) + '\066' + '\x32', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(1993 - 1944) + chr(1195 - 1144) + chr(0b110010), 40737 - 40729), ehT0Px3KOsy9(chr(2031 - 1983) + chr(10241 - 10130) + chr(153 - 104) + chr(0b1101 + 0o50) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b11000 + 0o31) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(8270 - 8159) + '\x31' + chr(0b100111 + 0o12) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000110 + 0o51) + chr(0b110001) + chr(55) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + '\062' + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\x33' + chr(0b110010), 8), ehT0Px3KOsy9(chr(1643 - 1595) + '\157' + chr(101 - 50) + chr(1498 - 1445), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + '\x33' + chr(300 - 249) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b11001 + 0o32) + chr(930 - 880), 21880 - 21872), ehT0Px3KOsy9('\060' + chr(111) + chr(54) + '\060', 58126 - 58118), ehT0Px3KOsy9(chr(0b110000) + chr(0b11100 + 0o123) + '\061' + '\x32' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b100000 + 0o117) + '\063' + '\064' + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2050 - 2001) + '\063' + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(0b10000 + 0o43) + '\065', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2010 - 1961) + chr(50) + '\060', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(53) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4'), chr(3058 - 2958) + chr(101) + '\143' + '\x6f' + chr(3586 - 3486) + chr(101))(chr(8366 - 8249) + chr(116) + '\146' + chr(0b0 + 0o55) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def L8CAErh5qVLU(U8xlt4AAwaWI, J6MT1AEeIl4b, mXwj77vGJRCO, NMTtGzIbULOi, bZuN4w5tzORn, cf1aO4AiTN9J, XQHAbMr4P4IJ, nfeH4ZtvQXsW=0.99, QWarUnKldUu9=0.95, Xtig2zAKpR0T=0.2, TpThDjlWvpLw=1.0, p_VTgDPfRD4V=0.01):
(a22SmayoDqUa, LlBr9hFlD_vC) = mXwj77vGJRCO(NMTtGzIbULOi, U8xlt4AAwaWI)
(D5ni30Kj7S7B, VNGQdHSFPrso) = mXwj77vGJRCO(NMTtGzIbULOi, J6MT1AEeIl4b)
return qzu3psiQoGde(a22SmayoDqUa, D5ni30Kj7S7B, LlBr9hFlD_vC, bZuN4w5tzORn, cf1aO4AiTN9J, XQHAbMr4P4IJ, c1=TpThDjlWvpLw, c2=p_VTgDPfRD4V, gamma=nfeH4ZtvQXsW, lambda_=QWarUnKldUu9, epsilon=Xtig2zAKpR0T)
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/rlax/ppo.py
|
ppo_opt_step
|
def ppo_opt_step(i,
opt_state,
ppo_opt_update,
policy_net_apply,
old_policy_params,
value_net_apply,
value_net_params,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
gamma=0.99,
lambda_=0.95,
epsilon=0.1):
"""PPO optimizer step."""
new_policy_params = trax_opt.get_params(opt_state)
g = grad(
ppo_loss, argnums=1)(
policy_net_apply,
new_policy_params,
old_policy_params,
value_net_apply,
value_net_params,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
gamma=gamma,
lambda_=lambda_,
epsilon=epsilon)
return ppo_opt_update(i, g, opt_state)
|
python
|
def ppo_opt_step(i,
opt_state,
ppo_opt_update,
policy_net_apply,
old_policy_params,
value_net_apply,
value_net_params,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
gamma=0.99,
lambda_=0.95,
epsilon=0.1):
"""PPO optimizer step."""
new_policy_params = trax_opt.get_params(opt_state)
g = grad(
ppo_loss, argnums=1)(
policy_net_apply,
new_policy_params,
old_policy_params,
value_net_apply,
value_net_params,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
gamma=gamma,
lambda_=lambda_,
epsilon=epsilon)
return ppo_opt_update(i, g, opt_state)
|
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] |
PPO optimizer step.
|
[
"PPO",
"optimizer",
"step",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/rlax/ppo.py#L765-L795
|
train
|
PPO optimizer step.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + chr(49) + chr(0b110 + 0o54) + chr(572 - 524), 6765 - 6757), ehT0Px3KOsy9(chr(48) + chr(1479 - 1368) + '\067' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1621 - 1573) + '\157' + chr(1592 - 1543) + '\062' + chr(484 - 436), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b0 + 0o157) + chr(1201 - 1151) + chr(54) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7697 - 7586) + chr(49) + '\060' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110110 + 0o71) + '\061' + chr(0b110011) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x37' + chr(0b100000 + 0o25), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b100110 + 0o21) + '\x31', 27464 - 27456), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b1101 + 0o51) + chr(2645 - 2593), 51810 - 51802), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b110011) + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b10000 + 0o47) + chr(993 - 945), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + '\x31' + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100110 + 0o11) + '\x32' + '\x32' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(59 - 11) + chr(0b1000000 + 0o57) + chr(50) + chr(1254 - 1203) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + '\064' + chr(2239 - 2186), 0b1000), ehT0Px3KOsy9(chr(411 - 363) + chr(0b1101111) + chr(1477 - 1426) + chr(0b101111 + 0o5), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\x36' + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101100 + 0o5) + chr(2255 - 2207) + '\x37', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11101 + 0o24) + '\060' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(0b100101 + 0o16) + '\066' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(2414 - 2364) + '\066' + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(3420 - 3309) + chr(49) + '\062', 0o10), ehT0Px3KOsy9(chr(458 - 410) + chr(0b1101111) + chr(2346 - 2295) + '\x31' + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(562 - 513) + '\x33' + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + '\x35' + '\x32', 52997 - 52989), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1010 + 0o50) + chr(788 - 739) + chr(0b11 + 0o62), ord("\x08")), ehT0Px3KOsy9('\060' + chr(4985 - 4874) + '\062' + '\065' + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(50) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + '\x35' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(795 - 747) + chr(0b11100 + 0o123) + chr(50) + chr(0b100010 + 0o23) + chr(825 - 776), ord("\x08")), ehT0Px3KOsy9(chr(1214 - 1166) + chr(0b1101111) + chr(0b100011 + 0o16) + '\x36' + '\061', 8), ehT0Px3KOsy9(chr(48) + chr(4064 - 3953) + chr(982 - 933) + '\x31' + chr(0b10 + 0o65), 42444 - 42436), ehT0Px3KOsy9('\060' + chr(0b1101101 + 0o2) + chr(1176 - 1125) + chr(0b101100 + 0o7) + chr(191 - 137), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b110011 + 0o1) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100100 + 0o13) + '\064' + '\x32', 41428 - 41420), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11100 + 0o27) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + '\067' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + '\x31' + chr(55) + '\x30', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + chr(608 - 555) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'~'), '\144' + '\x65' + chr(0b1100011) + chr(0b1001110 + 0o41) + chr(0b1100100) + chr(2138 - 2037))(chr(5061 - 4944) + chr(0b1100 + 0o150) + '\146' + chr(45) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def CsHWO7mMyGyp(WVxHKyX45z_L, DGBgOB4VcQ8Z, CyA6P_gt_rjk, DYAsNSGdPSKF, dNLZJi54D3p9, DaOmOlPiny62, pxQoR1yY3Pb1, NMTtGzIbULOi, bZuN4w5tzORn, cf1aO4AiTN9J, XQHAbMr4P4IJ, nfeH4ZtvQXsW=0.99, QWarUnKldUu9=0.95, Xtig2zAKpR0T=0.1):
lDXmsY5aXxwa = Hppoazc6lhXg.get_params(DGBgOB4VcQ8Z)
RWHpzFEeviFP = RF_2NucJiY7o(JxiXJ7NpOWeq, argnums=ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(806 - 757), 0o10))(DYAsNSGdPSKF, lDXmsY5aXxwa, dNLZJi54D3p9, DaOmOlPiny62, pxQoR1yY3Pb1, NMTtGzIbULOi, bZuN4w5tzORn, cf1aO4AiTN9J, XQHAbMr4P4IJ, gamma=nfeH4ZtvQXsW, lambda_=QWarUnKldUu9, epsilon=Xtig2zAKpR0T)
return CyA6P_gt_rjk(WVxHKyX45z_L, RWHpzFEeviFP, DGBgOB4VcQ8Z)
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/rlax/ppo.py
|
value_opt_step
|
def value_opt_step(i,
opt_state,
opt_update,
value_net_apply,
padded_observations,
padded_rewards,
reward_mask,
gamma=0.99):
"""Value optimizer step."""
value_params = trax_opt.get_params(opt_state)
# Note this partial application here and argnums above in ppo_opt_step.
g = grad(functools.partial(value_loss, value_net_apply))(
value_params,
padded_observations,
padded_rewards,
reward_mask,
gamma=gamma)
return opt_update(i, g, opt_state)
|
python
|
def value_opt_step(i,
opt_state,
opt_update,
value_net_apply,
padded_observations,
padded_rewards,
reward_mask,
gamma=0.99):
"""Value optimizer step."""
value_params = trax_opt.get_params(opt_state)
# Note this partial application here and argnums above in ppo_opt_step.
g = grad(functools.partial(value_loss, value_net_apply))(
value_params,
padded_observations,
padded_rewards,
reward_mask,
gamma=gamma)
return opt_update(i, g, opt_state)
|
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] |
Value optimizer step.
|
[
"Value",
"optimizer",
"step",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/rlax/ppo.py#L799-L816
|
train
|
Value optimizer step.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b110110 + 0o71) + chr(0b110100) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(0b110110) + chr(54), 0b1000), ehT0Px3KOsy9(chr(1575 - 1527) + chr(111) + '\061' + '\x30' + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1536 - 1486) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10111 + 0o35) + '\x36', 8), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + '\063' + chr(55) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(2698 - 2587) + '\x31' + chr(0b110110) + chr(409 - 355), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b1011 + 0o50) + chr(2571 - 2519) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(6087 - 5976) + '\x33' + chr(0b110110) + '\x37', 0o10), ehT0Px3KOsy9(chr(379 - 331) + chr(273 - 162) + '\x33' + chr(2226 - 2178) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + '\x33' + chr(1059 - 1006) + '\065', 58533 - 58525), ehT0Px3KOsy9(chr(474 - 426) + chr(8915 - 8804) + chr(0b100010 + 0o17) + chr(0b110100) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + '\x30' + chr(957 - 909), 8), ehT0Px3KOsy9(chr(1878 - 1830) + '\x6f' + chr(0b110010 + 0o0) + chr(54) + chr(988 - 936), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011000 + 0o27) + chr(0b101100 + 0o7) + chr(48) + chr(997 - 943), 58622 - 58614), ehT0Px3KOsy9(chr(2067 - 2019) + chr(111) + chr(0b110001) + '\060' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4969 - 4858) + chr(0b110001) + chr(0b10101 + 0o42) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b11000 + 0o127) + chr(49) + '\x34' + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(4760 - 4649) + chr(0b110100) + chr(0b110110), 8), ehT0Px3KOsy9(chr(318 - 270) + chr(2697 - 2586) + chr(50) + '\065' + chr(1054 - 1002), 0o10), ehT0Px3KOsy9(chr(1196 - 1148) + '\x6f' + chr(0b110010) + chr(52) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2080 - 2030) + chr(1935 - 1882) + chr(52), 8), ehT0Px3KOsy9(chr(1317 - 1269) + '\x6f' + '\x32' + '\x30' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(53) + chr(51), 56897 - 56889), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(7318 - 7207) + chr(0b11000 + 0o32) + '\x30', 58968 - 58960), ehT0Px3KOsy9('\060' + chr(11710 - 11599) + chr(54) + '\061', 22933 - 22925), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\x33', 8), ehT0Px3KOsy9(chr(1718 - 1670) + '\157' + chr(1756 - 1705), 0o10), ehT0Px3KOsy9(chr(1650 - 1602) + chr(111) + '\x33' + chr(0b100111 + 0o16) + chr(1597 - 1545), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6059 - 5948) + chr(49) + '\x35' + chr(0b110101), 14904 - 14896), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10110 + 0o34) + chr(0b101000 + 0o13) + '\066', 0b1000), ehT0Px3KOsy9(chr(635 - 587) + '\157' + chr(764 - 714) + chr(0b110011) + chr(54), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b11100 + 0o30), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + '\067' + chr(0b1011 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(1984 - 1936) + chr(0b110 + 0o151) + chr(0b10110 + 0o34) + chr(51) + '\x36', 8), ehT0Px3KOsy9(chr(48) + chr(7051 - 6940) + '\062' + chr(53) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(2217 - 2166) + chr(54), 0b1000), ehT0Px3KOsy9(chr(1070 - 1022) + chr(0b110111 + 0o70) + '\x32' + chr(0b110011) + chr(0b1101 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(567 - 519) + '\157' + chr(524 - 473) + '\x30' + '\063', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(686 - 638) + '\157' + '\065' + chr(0b1001 + 0o47), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x08'), chr(362 - 262) + chr(10092 - 9991) + '\x63' + chr(0b1101111) + '\144' + chr(4734 - 4633))(chr(0b1110101) + chr(116) + chr(102) + chr(45) + chr(2655 - 2599)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def WdIToP50miEn(WVxHKyX45z_L, DGBgOB4VcQ8Z, wyK1v8LaMctd, DaOmOlPiny62, NMTtGzIbULOi, cf1aO4AiTN9J, XQHAbMr4P4IJ, nfeH4ZtvQXsW=0.99):
Bzds0c_EVKx3 = Hppoazc6lhXg.get_params(DGBgOB4VcQ8Z)
RWHpzFEeviFP = RF_2NucJiY7o(E6ula8_Zv1yl.partial(hKeS2yhNpAe2, DaOmOlPiny62))(Bzds0c_EVKx3, NMTtGzIbULOi, cf1aO4AiTN9J, XQHAbMr4P4IJ, gamma=nfeH4ZtvQXsW)
return wyK1v8LaMctd(WVxHKyX45z_L, RWHpzFEeviFP, DGBgOB4VcQ8Z)
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/rlax/ppo.py
|
policy_and_value_opt_step
|
def policy_and_value_opt_step(i,
opt_state,
opt_update,
policy_and_value_net_apply,
old_params,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
c1=1.0,
c2=0.01,
gamma=0.99,
lambda_=0.95,
epsilon=0.1):
"""Policy and Value optimizer step."""
# Combined loss function given the new params.
def policy_and_value_loss(params):
"""Returns the combined loss given just parameters."""
(loss, _, _, _) = combined_loss(
params,
old_params,
policy_and_value_net_apply,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
c1=c1,
c2=c2,
gamma=gamma,
lambda_=lambda_,
epsilon=epsilon)
return loss
new_params = trax_opt.get_params(opt_state)
g = grad(policy_and_value_loss)(new_params)
return opt_update(i, g, opt_state)
|
python
|
def policy_and_value_opt_step(i,
opt_state,
opt_update,
policy_and_value_net_apply,
old_params,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
c1=1.0,
c2=0.01,
gamma=0.99,
lambda_=0.95,
epsilon=0.1):
"""Policy and Value optimizer step."""
# Combined loss function given the new params.
def policy_and_value_loss(params):
"""Returns the combined loss given just parameters."""
(loss, _, _, _) = combined_loss(
params,
old_params,
policy_and_value_net_apply,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
c1=c1,
c2=c2,
gamma=gamma,
lambda_=lambda_,
epsilon=epsilon)
return loss
new_params = trax_opt.get_params(opt_state)
g = grad(policy_and_value_loss)(new_params)
return opt_update(i, g, opt_state)
|
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] |
Policy and Value optimizer step.
|
[
"Policy",
"and",
"Value",
"optimizer",
"step",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/rlax/ppo.py#L820-L855
|
train
|
This function is called by the optimizer step in the optimizer code. It is called by the optimizer code to update the state of the optimizer.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(9833 - 9722) + chr(2131 - 2082) + chr(0b110011) + chr(49), 0o10), ehT0Px3KOsy9(chr(1351 - 1303) + '\x6f' + chr(0b110001) + '\064' + chr(500 - 448), 0b1000), ehT0Px3KOsy9('\x30' + chr(4669 - 4558) + '\x32' + '\060' + chr(54), 0o10), ehT0Px3KOsy9(chr(1016 - 968) + chr(7009 - 6898) + '\x33' + chr(0b110111) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + '\065' + chr(54), 45975 - 45967), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(1740 - 1686) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(11009 - 10898) + '\x31' + chr(0b110100 + 0o3) + chr(2037 - 1985), 0o10), ehT0Px3KOsy9(chr(2190 - 2142) + chr(0b1101111) + chr(50) + chr(54) + '\x36', 57895 - 57887), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(1268 - 1213) + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101 + 0o57) + chr(800 - 748), 0o10), ehT0Px3KOsy9(chr(930 - 882) + chr(2782 - 2671) + chr(0b110011) + chr(0b1110 + 0o45) + '\062', 43316 - 43308), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + '\x35' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2152 - 2041) + chr(51) + chr(152 - 104) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(51) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1142 - 1031) + '\x31' + chr(0b0 + 0o61) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(0b110011), 19864 - 19856), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + chr(0b1111 + 0o43) + '\061' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1993 - 1944) + '\066' + chr(0b110000), 24770 - 24762), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(48) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + '\067' + chr(52), 0b1000), ehT0Px3KOsy9(chr(992 - 944) + '\x6f' + '\x33' + chr(53) + chr(0b100 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010000 + 0o37) + chr(0b110001) + chr(1086 - 1034) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(2037 - 1986) + '\x31' + '\x32', 26632 - 26624), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\066' + chr(0b0 + 0o61), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1600 - 1489) + chr(0b100101 + 0o15) + chr(1129 - 1081), 64017 - 64009), ehT0Px3KOsy9(chr(1506 - 1458) + chr(0b1101111) + '\x31' + chr(0b110001) + '\063', 47316 - 47308), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33', 0b1000), ehT0Px3KOsy9(chr(172 - 124) + chr(0b111101 + 0o62) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(55) + chr(0b101000 + 0o12), 14574 - 14566), ehT0Px3KOsy9(chr(0b110000) + chr(10034 - 9923) + chr(0b10110 + 0o34) + chr(0b10000 + 0o45) + '\063', 25532 - 25524), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(2471 - 2421) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(593 - 545) + chr(985 - 874) + chr(2071 - 2022) + chr(49) + '\x32', 0b1000), ehT0Px3KOsy9(chr(2087 - 2039) + '\x6f' + chr(2316 - 2264) + chr(52), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + '\063' + '\060', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\x33' + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(54) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b100011 + 0o22) + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(7009 - 6898) + '\063' + chr(0b101110 + 0o6) + '\x35', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2043 - 1995) + chr(111) + '\065' + chr(0b110000), 9515 - 9507)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'w'), chr(0b1100100) + '\x65' + chr(99) + chr(0b1101111) + chr(6157 - 6057) + chr(101))('\x75' + chr(116) + '\x66' + chr(45) + chr(0b110 + 0o62)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def X9VTILcJD_oG(WVxHKyX45z_L, DGBgOB4VcQ8Z, wyK1v8LaMctd, mXwj77vGJRCO, J6MT1AEeIl4b, NMTtGzIbULOi, bZuN4w5tzORn, cf1aO4AiTN9J, XQHAbMr4P4IJ, TpThDjlWvpLw=1.0, p_VTgDPfRD4V=0.01, nfeH4ZtvQXsW=0.99, QWarUnKldUu9=0.95, Xtig2zAKpR0T=0.1):
def XyvfT205oKvJ(nEbJZ4wfte2w):
(YpO0BcZ6fMsf, VNGQdHSFPrso, VNGQdHSFPrso, VNGQdHSFPrso) = L8CAErh5qVLU(nEbJZ4wfte2w, J6MT1AEeIl4b, mXwj77vGJRCO, NMTtGzIbULOi, bZuN4w5tzORn, cf1aO4AiTN9J, XQHAbMr4P4IJ, c1=TpThDjlWvpLw, c2=p_VTgDPfRD4V, gamma=nfeH4ZtvQXsW, lambda_=QWarUnKldUu9, epsilon=Xtig2zAKpR0T)
return YpO0BcZ6fMsf
U8xlt4AAwaWI = Hppoazc6lhXg.get_params(DGBgOB4VcQ8Z)
RWHpzFEeviFP = RF_2NucJiY7o(XyvfT205oKvJ)(U8xlt4AAwaWI)
return wyK1v8LaMctd(WVxHKyX45z_L, RWHpzFEeviFP, DGBgOB4VcQ8Z)
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/rlax/ppo.py
|
training_loop
|
def training_loop(env=None,
env_name="CartPole-v0",
epochs=EPOCHS,
policy_net_fun=None,
value_net_fun=None,
policy_and_value_net_fun=None,
policy_optimizer_fun=None,
value_optimizer_fun=None,
policy_and_value_optimizer_fun=None,
batch_size=BATCH_TRAJECTORIES,
num_optimizer_steps=NUM_OPTIMIZER_STEPS,
print_every_optimizer_steps=PRINT_EVERY_OPTIMIZER_STEP,
boundary=20,
max_timestep=None,
random_seed=None,
gamma=GAMMA,
lambda_=LAMBDA,
epsilon=EPSILON,
c1=1.0,
c2=0.01):
"""Runs the training loop for PPO, with fixed policy and value nets."""
jax_rng_key = trax.get_random_number_generator_and_set_seed(random_seed)
value_losses = []
ppo_objective = []
combined_losses = []
average_rewards = []
env = env if env is not None else gym.make(env_name)
# Batch Observations Shape = [-1, -1] + OBS, because we will eventually call
# policy and value networks on shape [B, T] +_OBS
batch_observations_shape = (-1, -1) + env.observation_space.shape
assert isinstance(env.action_space, gym.spaces.Discrete)
num_actions = env.action_space.n
policy_and_value_net_params, policy_and_value_net_apply = None, None
policy_and_value_opt_state, policy_and_value_opt_update = None, None
policy_net_params, policy_net_apply = None, None
value_net_params, value_net_apply = None, None
if policy_and_value_net_fun is not None:
jax_rng_key, subkey = jax_random.split(jax_rng_key)
# Initialize the policy and value network.
policy_and_value_net_params, policy_and_value_net_apply = (
policy_and_value_net_fun(subkey, batch_observations_shape, num_actions))
# Initialize the optimizers.
policy_and_value_opt_state, policy_and_value_opt_update = (
policy_and_value_optimizer_fun(policy_and_value_net_params))
else:
# Initialize the policy and value functions.
assert policy_net_fun and value_net_fun
jax_rng_key, key1, key2 = jax_random.split(jax_rng_key, num=3)
policy_net_params, policy_net_apply = policy_net_fun(
key1, batch_observations_shape, num_actions)
value_net_params, value_net_apply = value_net_fun(key2,
batch_observations_shape,
num_actions)
# Initialize the optimizers.
ppo_opt_state, ppo_opt_update = policy_optimizer_fun(policy_net_params)
value_opt_state, value_opt_update = value_optimizer_fun(value_net_params)
# A function that will call the appropriate policy function with parameters.
def get_policy_output(observations):
if policy_net_apply is not None:
assert policy_net_params
return policy_net_apply(observations, policy_net_params)
assert policy_and_value_net_apply and policy_and_value_net_params
policy_predictions, unused_value_predictions = policy_and_value_net_apply(
observations, policy_and_value_net_params)
return policy_predictions
for i in range(epochs):
t = time.time()
t0 = t
logging.vlog(1, "Epoch [% 6d] collecting trajectories.", i)
trajs = collect_trajectories(
env,
policy_fun=get_policy_output,
num_trajectories=batch_size,
policy=POLICY,
max_timestep=max_timestep,
epsilon=(10.0 / (i + 10.0))) # this is a different epsilon.
avg_reward = float(sum(np.sum(traj[2]) for traj in trajs)) / len(trajs)
max_reward = max(np.sum(traj[2]) for traj in trajs)
min_reward = min(np.sum(traj[2]) for traj in trajs)
average_rewards.append(avg_reward)
logging.vlog(1, "Rewards average=[%0.2f], max=[%0.2f], min=[%0.2f]",
avg_reward, max_reward, min_reward)
logging.vlog(1, "Collecting trajectories took %0.2f msec.", get_time(t))
logging.vlog(1,
"Trajectory Length average=[%0.2f], max=[%0.2f], min=[%0.2f]",
float(sum(len(traj[0]) for traj in trajs)) / len(trajs),
max(len(traj[0]) for traj in trajs),
min(len(traj[0]) for traj in trajs))
t = time.time()
(_, reward_mask, padded_observations, padded_actions,
padded_rewards) = pad_trajectories(trajs, boundary=boundary)
logging.vlog(1, "Padding trajectories took %0.2f msec.", get_time(t))
logging.vlog(1, "Padded Observations' shape [%s]",
str(padded_observations.shape))
logging.vlog(1, "Padded Actions' shape [%s]", str(padded_actions.shape))
logging.vlog(1, "Padded Rewards' shape [%s]", str(padded_rewards.shape))
# Some assertions.
B, T = padded_actions.shape # pylint: disable=invalid-name
assert (B, T) == padded_rewards.shape
assert (B, T) == reward_mask.shape
assert (B, T + 1) == padded_observations.shape[:2]
assert (B, T + 1) + env.observation_space.shape == padded_observations.shape
# Linear annealing from 0.1 to 0.0
epsilon_schedule = epsilon if epochs == 1 else epsilon * (1.0 -
(i /
(epochs - 1)))
# Compute value and ppo losses.
cur_value_loss, cur_ppo_loss, cur_combined_loss = None, None, None
if policy_and_value_net_apply is not None:
t = time.time()
cur_combined_loss, cur_ppo_loss, cur_value_loss, _ = (
combined_loss(
policy_and_value_net_params,
policy_and_value_net_params,
policy_and_value_net_apply,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
gamma=gamma,
lambda_=lambda_,
epsilon=epsilon_schedule,
c1=c1,
c2=c2))
logging.vlog(
1, "Calculating P&V loss [%10.2f(%10.2f, %10.2f)] took %0.2f msec.",
cur_combined_loss, cur_value_loss, cur_ppo_loss, get_time(t))
else:
t = time.time()
cur_value_loss = value_loss(
value_net_apply,
value_net_params,
padded_observations,
padded_rewards,
reward_mask,
gamma=gamma)
logging.vlog(1, "Calculating value loss took %0.2f msec.", get_time(t))
t = time.time()
cur_ppo_loss = ppo_loss(
policy_net_apply,
policy_net_params,
policy_net_params,
value_net_apply,
value_net_params,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
gamma=gamma,
lambda_=lambda_,
epsilon=epsilon_schedule)
logging.vlog(1, "Calculating PPO loss took %0.2f msec.", get_time(t))
value_losses.append(cur_value_loss)
ppo_objective.append(-1.0 * cur_ppo_loss)
combined_losses.append(cur_combined_loss)
if policy_and_value_net_apply:
logging.vlog(1, "Policy and Value Optimization")
t1 = time.time()
for j in range(num_optimizer_steps):
t = time.time()
# Update the optimizer state.
policy_and_value_opt_state = policy_and_value_opt_step(
j,
policy_and_value_opt_state,
policy_and_value_opt_update,
policy_and_value_net_apply,
policy_and_value_net_params,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
c1=c1,
c2=c2,
gamma=gamma,
lambda_=lambda_,
epsilon=epsilon_schedule)
t2 = time.time()
# Get the new params.
new_policy_and_value_net_params = trax_opt.get_params(
policy_and_value_opt_state)
if ((j + 1) %
print_every_optimizer_steps == 0) or (j == num_optimizer_steps - 1):
# Compute and log the loss.
(loss_combined, loss_ppo, loss_value, unused_entropy_bonus) = (
combined_loss(
new_policy_and_value_net_params,
policy_and_value_net_params, # old params
policy_and_value_net_apply,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
gamma=gamma,
lambda_=lambda_,
epsilon=epsilon_schedule,
c1=c1,
c2=c2))
logging.vlog(1, "One Policy and Value grad desc took: %0.2f msec",
get_time(t, t2))
logging.vlog(
1,
"Combined Loss(value, ppo) [%10.2f] -> [%10.2f(%10.2f,%10.2f)]",
cur_combined_loss, loss_combined, loss_value, loss_ppo)
# Update the params.
policy_and_value_net_params = new_policy_and_value_net_params
logging.vlog(
1, "Total PPO loss reduction [%0.2f]%%",
(100 *
(cur_combined_loss - loss_combined) / np.abs(cur_combined_loss)))
logging.info(
"Epoch [% 6d], Reward[min, max, avg] [%10.2f,%10.2f,%10.2f], Combined"
" Loss(value, ppo) [%10.2f(%10.2f,%10.2f)], took [%10.2f msec]",
i, min_reward, max_reward, avg_reward, loss_combined, loss_value,
loss_ppo, get_time(t1))
else:
# Run optimizers.
logging.vlog(1, "PPO Optimization")
t1 = time.time()
for j in range(num_optimizer_steps):
t = time.time()
# Update the optimizer state.
ppo_opt_state = ppo_opt_step(
j,
ppo_opt_state,
ppo_opt_update,
policy_net_apply,
policy_net_params,
value_net_apply,
value_net_params,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
gamma=gamma,
lambda_=lambda_,
epsilon=epsilon_schedule,
)
t2 = time.time()
# Get the new params.
new_policy_net_params = trax_opt.get_params(ppo_opt_state)
if ((j + 1) %
print_every_optimizer_steps == 0) or (j == num_optimizer_steps - 1):
new_ppo_loss = ppo_loss(
policy_net_apply,
new_policy_net_params,
policy_net_params,
value_net_apply,
value_net_params,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
gamma=gamma,
lambda_=lambda_,
epsilon=epsilon_schedule,
)
logging.vlog(1, "One PPO grad desc took: %0.2f msec", get_time(t, t2))
logging.vlog(1, "PPO loss [%10.2f] -> [%10.2f]", cur_ppo_loss,
new_ppo_loss)
# Update the params.
policy_net_params = new_policy_net_params
logging.vlog(1, "Total PPO loss reduction [%0.2f]%%",
(100 * (cur_ppo_loss - new_ppo_loss) / np.abs(cur_ppo_loss)))
logging.vlog(1, "Value Optimization")
for j in range(num_optimizer_steps):
t = time.time()
value_opt_state = value_opt_step(
j,
value_opt_state,
value_opt_update,
value_net_apply,
padded_observations,
padded_rewards,
reward_mask,
gamma=gamma)
t2 = time.time()
value_net_params = trax_opt.get_params(value_opt_state)
if ((j + 1) %
print_every_optimizer_steps == 0) or (j == num_optimizer_steps - 1):
new_value_loss = value_loss(
value_net_apply,
value_net_params,
padded_observations,
padded_rewards,
reward_mask,
gamma=gamma)
logging.vlog(1, "One value grad desc took: %0.2f msec",
get_time(t, t2))
logging.vlog(1, "Value loss [%10.2f] -> [%10.2f]", cur_value_loss,
new_value_loss)
logging.vlog(1, "Total value loss reduction [%0.2f]%%",
(100 *
(cur_value_loss - new_value_loss) / np.abs(cur_value_loss)))
logging.vlog(1, "Grad desc took %0.2f msec", get_time(t1))
# Set the optimized params to new params.
policy_net_params = trax_opt.get_params(ppo_opt_state)
value_net_params = trax_opt.get_params(value_opt_state)
logging.info(
"Epoch [% 6d], Reward[min, max, avg] [%10.2f,%10.2f,%10.2f], "
"ppo loss [%10.2f], value loss [%10.2f], took [%10.2f msec]", i,
min_reward, max_reward, avg_reward, new_ppo_loss, new_value_loss,
get_time(t0))
# Log the parameters, just for the sake of it.
if policy_net_params:
log_params(policy_net_params, "policy_net_params")
if value_net_params:
log_params(value_net_params, "value_net_params")
if policy_and_value_net_params:
log_params(policy_and_value_net_params, "policy_and_value_net_params")
if value_losses:
logging.vlog(1, "value_losses: %s", np.stack(value_losses))
if ppo_objective:
logging.vlog(1, "ppo_objective: %s", np.stack(ppo_objective))
if average_rewards:
logging.vlog(1, "average_rewards: %s", average_rewards)
return ((policy_net_params, value_net_params), average_rewards,
np.stack(value_losses), np.stack(ppo_objective))
|
python
|
def training_loop(env=None,
env_name="CartPole-v0",
epochs=EPOCHS,
policy_net_fun=None,
value_net_fun=None,
policy_and_value_net_fun=None,
policy_optimizer_fun=None,
value_optimizer_fun=None,
policy_and_value_optimizer_fun=None,
batch_size=BATCH_TRAJECTORIES,
num_optimizer_steps=NUM_OPTIMIZER_STEPS,
print_every_optimizer_steps=PRINT_EVERY_OPTIMIZER_STEP,
boundary=20,
max_timestep=None,
random_seed=None,
gamma=GAMMA,
lambda_=LAMBDA,
epsilon=EPSILON,
c1=1.0,
c2=0.01):
"""Runs the training loop for PPO, with fixed policy and value nets."""
jax_rng_key = trax.get_random_number_generator_and_set_seed(random_seed)
value_losses = []
ppo_objective = []
combined_losses = []
average_rewards = []
env = env if env is not None else gym.make(env_name)
# Batch Observations Shape = [-1, -1] + OBS, because we will eventually call
# policy and value networks on shape [B, T] +_OBS
batch_observations_shape = (-1, -1) + env.observation_space.shape
assert isinstance(env.action_space, gym.spaces.Discrete)
num_actions = env.action_space.n
policy_and_value_net_params, policy_and_value_net_apply = None, None
policy_and_value_opt_state, policy_and_value_opt_update = None, None
policy_net_params, policy_net_apply = None, None
value_net_params, value_net_apply = None, None
if policy_and_value_net_fun is not None:
jax_rng_key, subkey = jax_random.split(jax_rng_key)
# Initialize the policy and value network.
policy_and_value_net_params, policy_and_value_net_apply = (
policy_and_value_net_fun(subkey, batch_observations_shape, num_actions))
# Initialize the optimizers.
policy_and_value_opt_state, policy_and_value_opt_update = (
policy_and_value_optimizer_fun(policy_and_value_net_params))
else:
# Initialize the policy and value functions.
assert policy_net_fun and value_net_fun
jax_rng_key, key1, key2 = jax_random.split(jax_rng_key, num=3)
policy_net_params, policy_net_apply = policy_net_fun(
key1, batch_observations_shape, num_actions)
value_net_params, value_net_apply = value_net_fun(key2,
batch_observations_shape,
num_actions)
# Initialize the optimizers.
ppo_opt_state, ppo_opt_update = policy_optimizer_fun(policy_net_params)
value_opt_state, value_opt_update = value_optimizer_fun(value_net_params)
# A function that will call the appropriate policy function with parameters.
def get_policy_output(observations):
if policy_net_apply is not None:
assert policy_net_params
return policy_net_apply(observations, policy_net_params)
assert policy_and_value_net_apply and policy_and_value_net_params
policy_predictions, unused_value_predictions = policy_and_value_net_apply(
observations, policy_and_value_net_params)
return policy_predictions
for i in range(epochs):
t = time.time()
t0 = t
logging.vlog(1, "Epoch [% 6d] collecting trajectories.", i)
trajs = collect_trajectories(
env,
policy_fun=get_policy_output,
num_trajectories=batch_size,
policy=POLICY,
max_timestep=max_timestep,
epsilon=(10.0 / (i + 10.0))) # this is a different epsilon.
avg_reward = float(sum(np.sum(traj[2]) for traj in trajs)) / len(trajs)
max_reward = max(np.sum(traj[2]) for traj in trajs)
min_reward = min(np.sum(traj[2]) for traj in trajs)
average_rewards.append(avg_reward)
logging.vlog(1, "Rewards average=[%0.2f], max=[%0.2f], min=[%0.2f]",
avg_reward, max_reward, min_reward)
logging.vlog(1, "Collecting trajectories took %0.2f msec.", get_time(t))
logging.vlog(1,
"Trajectory Length average=[%0.2f], max=[%0.2f], min=[%0.2f]",
float(sum(len(traj[0]) for traj in trajs)) / len(trajs),
max(len(traj[0]) for traj in trajs),
min(len(traj[0]) for traj in trajs))
t = time.time()
(_, reward_mask, padded_observations, padded_actions,
padded_rewards) = pad_trajectories(trajs, boundary=boundary)
logging.vlog(1, "Padding trajectories took %0.2f msec.", get_time(t))
logging.vlog(1, "Padded Observations' shape [%s]",
str(padded_observations.shape))
logging.vlog(1, "Padded Actions' shape [%s]", str(padded_actions.shape))
logging.vlog(1, "Padded Rewards' shape [%s]", str(padded_rewards.shape))
# Some assertions.
B, T = padded_actions.shape # pylint: disable=invalid-name
assert (B, T) == padded_rewards.shape
assert (B, T) == reward_mask.shape
assert (B, T + 1) == padded_observations.shape[:2]
assert (B, T + 1) + env.observation_space.shape == padded_observations.shape
# Linear annealing from 0.1 to 0.0
epsilon_schedule = epsilon if epochs == 1 else epsilon * (1.0 -
(i /
(epochs - 1)))
# Compute value and ppo losses.
cur_value_loss, cur_ppo_loss, cur_combined_loss = None, None, None
if policy_and_value_net_apply is not None:
t = time.time()
cur_combined_loss, cur_ppo_loss, cur_value_loss, _ = (
combined_loss(
policy_and_value_net_params,
policy_and_value_net_params,
policy_and_value_net_apply,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
gamma=gamma,
lambda_=lambda_,
epsilon=epsilon_schedule,
c1=c1,
c2=c2))
logging.vlog(
1, "Calculating P&V loss [%10.2f(%10.2f, %10.2f)] took %0.2f msec.",
cur_combined_loss, cur_value_loss, cur_ppo_loss, get_time(t))
else:
t = time.time()
cur_value_loss = value_loss(
value_net_apply,
value_net_params,
padded_observations,
padded_rewards,
reward_mask,
gamma=gamma)
logging.vlog(1, "Calculating value loss took %0.2f msec.", get_time(t))
t = time.time()
cur_ppo_loss = ppo_loss(
policy_net_apply,
policy_net_params,
policy_net_params,
value_net_apply,
value_net_params,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
gamma=gamma,
lambda_=lambda_,
epsilon=epsilon_schedule)
logging.vlog(1, "Calculating PPO loss took %0.2f msec.", get_time(t))
value_losses.append(cur_value_loss)
ppo_objective.append(-1.0 * cur_ppo_loss)
combined_losses.append(cur_combined_loss)
if policy_and_value_net_apply:
logging.vlog(1, "Policy and Value Optimization")
t1 = time.time()
for j in range(num_optimizer_steps):
t = time.time()
# Update the optimizer state.
policy_and_value_opt_state = policy_and_value_opt_step(
j,
policy_and_value_opt_state,
policy_and_value_opt_update,
policy_and_value_net_apply,
policy_and_value_net_params,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
c1=c1,
c2=c2,
gamma=gamma,
lambda_=lambda_,
epsilon=epsilon_schedule)
t2 = time.time()
# Get the new params.
new_policy_and_value_net_params = trax_opt.get_params(
policy_and_value_opt_state)
if ((j + 1) %
print_every_optimizer_steps == 0) or (j == num_optimizer_steps - 1):
# Compute and log the loss.
(loss_combined, loss_ppo, loss_value, unused_entropy_bonus) = (
combined_loss(
new_policy_and_value_net_params,
policy_and_value_net_params, # old params
policy_and_value_net_apply,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
gamma=gamma,
lambda_=lambda_,
epsilon=epsilon_schedule,
c1=c1,
c2=c2))
logging.vlog(1, "One Policy and Value grad desc took: %0.2f msec",
get_time(t, t2))
logging.vlog(
1,
"Combined Loss(value, ppo) [%10.2f] -> [%10.2f(%10.2f,%10.2f)]",
cur_combined_loss, loss_combined, loss_value, loss_ppo)
# Update the params.
policy_and_value_net_params = new_policy_and_value_net_params
logging.vlog(
1, "Total PPO loss reduction [%0.2f]%%",
(100 *
(cur_combined_loss - loss_combined) / np.abs(cur_combined_loss)))
logging.info(
"Epoch [% 6d], Reward[min, max, avg] [%10.2f,%10.2f,%10.2f], Combined"
" Loss(value, ppo) [%10.2f(%10.2f,%10.2f)], took [%10.2f msec]",
i, min_reward, max_reward, avg_reward, loss_combined, loss_value,
loss_ppo, get_time(t1))
else:
# Run optimizers.
logging.vlog(1, "PPO Optimization")
t1 = time.time()
for j in range(num_optimizer_steps):
t = time.time()
# Update the optimizer state.
ppo_opt_state = ppo_opt_step(
j,
ppo_opt_state,
ppo_opt_update,
policy_net_apply,
policy_net_params,
value_net_apply,
value_net_params,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
gamma=gamma,
lambda_=lambda_,
epsilon=epsilon_schedule,
)
t2 = time.time()
# Get the new params.
new_policy_net_params = trax_opt.get_params(ppo_opt_state)
if ((j + 1) %
print_every_optimizer_steps == 0) or (j == num_optimizer_steps - 1):
new_ppo_loss = ppo_loss(
policy_net_apply,
new_policy_net_params,
policy_net_params,
value_net_apply,
value_net_params,
padded_observations,
padded_actions,
padded_rewards,
reward_mask,
gamma=gamma,
lambda_=lambda_,
epsilon=epsilon_schedule,
)
logging.vlog(1, "One PPO grad desc took: %0.2f msec", get_time(t, t2))
logging.vlog(1, "PPO loss [%10.2f] -> [%10.2f]", cur_ppo_loss,
new_ppo_loss)
# Update the params.
policy_net_params = new_policy_net_params
logging.vlog(1, "Total PPO loss reduction [%0.2f]%%",
(100 * (cur_ppo_loss - new_ppo_loss) / np.abs(cur_ppo_loss)))
logging.vlog(1, "Value Optimization")
for j in range(num_optimizer_steps):
t = time.time()
value_opt_state = value_opt_step(
j,
value_opt_state,
value_opt_update,
value_net_apply,
padded_observations,
padded_rewards,
reward_mask,
gamma=gamma)
t2 = time.time()
value_net_params = trax_opt.get_params(value_opt_state)
if ((j + 1) %
print_every_optimizer_steps == 0) or (j == num_optimizer_steps - 1):
new_value_loss = value_loss(
value_net_apply,
value_net_params,
padded_observations,
padded_rewards,
reward_mask,
gamma=gamma)
logging.vlog(1, "One value grad desc took: %0.2f msec",
get_time(t, t2))
logging.vlog(1, "Value loss [%10.2f] -> [%10.2f]", cur_value_loss,
new_value_loss)
logging.vlog(1, "Total value loss reduction [%0.2f]%%",
(100 *
(cur_value_loss - new_value_loss) / np.abs(cur_value_loss)))
logging.vlog(1, "Grad desc took %0.2f msec", get_time(t1))
# Set the optimized params to new params.
policy_net_params = trax_opt.get_params(ppo_opt_state)
value_net_params = trax_opt.get_params(value_opt_state)
logging.info(
"Epoch [% 6d], Reward[min, max, avg] [%10.2f,%10.2f,%10.2f], "
"ppo loss [%10.2f], value loss [%10.2f], took [%10.2f msec]", i,
min_reward, max_reward, avg_reward, new_ppo_loss, new_value_loss,
get_time(t0))
# Log the parameters, just for the sake of it.
if policy_net_params:
log_params(policy_net_params, "policy_net_params")
if value_net_params:
log_params(value_net_params, "value_net_params")
if policy_and_value_net_params:
log_params(policy_and_value_net_params, "policy_and_value_net_params")
if value_losses:
logging.vlog(1, "value_losses: %s", np.stack(value_losses))
if ppo_objective:
logging.vlog(1, "ppo_objective: %s", np.stack(ppo_objective))
if average_rewards:
logging.vlog(1, "average_rewards: %s", average_rewards)
return ((policy_net_params, value_net_params), average_rewards,
np.stack(value_losses), np.stack(ppo_objective))
|
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] |
Runs the training loop for PPO, with fixed policy and value nets.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/rlax/ppo.py#L864-L1215
|
train
|
Runs the training loop for PPO with fixed policy and value nets.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1035 - 984) + chr(51) + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101101 + 0o2) + chr(50) + chr(0b110010) + chr(0b110110), 65218 - 65210), ehT0Px3KOsy9(chr(51 - 3) + '\157' + chr(0b11100 + 0o26) + chr(0b1000 + 0o56) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(1724 - 1676) + chr(0b1101111) + chr(0b110010) + chr(53) + chr(0b11011 + 0o31), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2419 - 2365) + chr(0b101100 + 0o11), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100011 + 0o14) + chr(0b10110 + 0o34) + chr(0b111 + 0o56) + chr(2031 - 1978), 0b1000), ehT0Px3KOsy9('\060' + chr(0b101 + 0o152) + '\061' + '\061' + chr(1085 - 1036), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(547 - 497) + chr(54) + chr(0b110011), 41694 - 41686), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\063' + '\060', 45041 - 45033), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(0b110011) + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(6831 - 6720) + '\x31' + chr(48) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(973 - 862) + chr(51) + chr(0b110111 + 0o0) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(941 - 889) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(0b110000) + chr(54), 53532 - 53524), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(0b110011) + chr(0b10011 + 0o37) + chr(0b10100 + 0o34), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011 + 0o144) + chr(1398 - 1348) + '\x35' + chr(2897 - 2842), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(48) + chr(0b111 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(927 - 879) + chr(0b1101111) + chr(0b101000 + 0o11) + '\x37' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(1162 - 1051) + chr(1787 - 1732) + '\x32', 59488 - 59480), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + '\x33' + '\066' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(2217 - 2165) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(49) + chr(54) + chr(0b11101 + 0o31), 19438 - 19430), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11111 + 0o23) + chr(51) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011111 + 0o20) + chr(1568 - 1513) + chr(279 - 229), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + '\066' + '\061', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\066' + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(1473 - 1424) + '\061' + chr(0b110 + 0o52), 0o10), ehT0Px3KOsy9(chr(181 - 133) + '\157' + chr(0b110010) + chr(0b110001) + '\x31', 1878 - 1870), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\066' + chr(0b110010), 30689 - 30681), ehT0Px3KOsy9('\x30' + chr(0b1001101 + 0o42) + chr(51) + chr(2442 - 2390) + chr(1707 - 1657), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b10101 + 0o132) + chr(0b110001) + chr(0b10011 + 0o40) + chr(49), 8), ehT0Px3KOsy9(chr(377 - 329) + chr(9997 - 9886) + '\062' + chr(49) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(2579 - 2468) + chr(50) + chr(0b110001) + chr(0b1010 + 0o47), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x34' + chr(1017 - 967), 24328 - 24320), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b10111 + 0o40) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(49), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(50), 64910 - 64902), ehT0Px3KOsy9('\060' + chr(2136 - 2025) + chr(443 - 394) + chr(2296 - 2241) + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(0b1100110 + 0o11) + chr(55) + chr(576 - 521), 0b1000), ehT0Px3KOsy9(chr(1929 - 1881) + chr(0b1101111) + '\x32' + '\x33' + chr(727 - 677), 18641 - 18633)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(8509 - 8398) + '\065' + '\x30', 1885 - 1877)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7'), '\144' + chr(0b1100101) + chr(99) + chr(111) + '\x64' + chr(0b1100101))(chr(0b1101011 + 0o12) + '\x74' + chr(0b1100110) + chr(45) + chr(0b1011 + 0o55)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def MTa14RvCBWlS(xzsHIGfR8Ip5=None, IPxLziQW1Fo8=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\xf7\xc3\xd8e\xc2%\xd6\xb5/t'), chr(0b1100100 + 0o0) + chr(0b1100101) + chr(99) + '\157' + '\x64' + '\x65')('\165' + chr(0b1100 + 0o150) + chr(4223 - 4121) + chr(0b10111 + 0o26) + '\070'), xvDB7qObFSrr=aIc6v1wdzcAX, VyVDFItqY0vR=None, _t27Y7Gnre4z=None, Z0CIGGxaSe6o=None, Ii09u1xORrqo=None, U7bOi3l3Lk9z=None, ML9TlMfRB9gm=None, ix9dZyeAmUxY=vdtxj5q7IQda, iEwTl4YvL_Xf=vwkZkEm6c892, x6muQcIWFlLu=sonxDt_9vBVF, btzPOzjO3_Wq=ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + chr(1088 - 1038) + '\x34', ord("\x08")), ryDEkWyGRmeN=None, JrhY2RFJObts=None, nfeH4ZtvQXsW=l22rJTHlWdNj, QWarUnKldUu9=kUg0aVslAE5f, Xtig2zAKpR0T=m5UTVw1WLEwe, TpThDjlWvpLw=1.0, p_VTgDPfRD4V=0.01):
ARbjD6QEZhED = n9W_OR7vTgpr.get_random_number_generator_and_set_seed(JrhY2RFJObts)
AlsBUkSLP_ht = []
kdP8pnd72oSA = []
bJAH8zghYCcR = []
gX1jz6ty83w5 = []
xzsHIGfR8Ip5 = xzsHIGfR8Ip5 if xzsHIGfR8Ip5 is not None else mZyhk1NGHEBF.make(IPxLziQW1Fo8)
pjSB7mnHzYyU = (-ehT0Px3KOsy9(chr(48) + '\157' + '\061', 0b1000), -ehT0Px3KOsy9(chr(48) + chr(111) + '\061', 8)) + xzsHIGfR8Ip5.observation_space.nauYfLglTpcb
assert PlSM16l2KDPD(xafqLlk3kkUe(xzsHIGfR8Ip5, xafqLlk3kkUe(SXOLrMavuUCe(b"\xb8\xf5\xc5\xc5Z\xc3\x16\xc0\xe88'\x9e"), chr(100) + chr(546 - 445) + chr(0b111101 + 0o46) + chr(111) + chr(0b10 + 0o142) + chr(6934 - 6833))('\165' + chr(3891 - 3775) + '\146' + '\055' + chr(56))), xafqLlk3kkUe(mZyhk1NGHEBF.spaces, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\xff\xc2\xcfG\xc8=\xd6'), chr(0b1100100) + '\x65' + chr(99) + chr(0b1101111) + chr(100) + chr(101))(chr(5586 - 5469) + chr(116) + '\146' + chr(0b101101) + chr(0b1000 + 0o60))))
R1s2XZR64XJA = xzsHIGfR8Ip5.action_space.m1NkCryOw9Bx
(Mheuhjd_531Z, mXwj77vGJRCO) = (None, None)
(QsXGr6w9agpM, t2HehB4b4qnH) = (None, None)
(VOhkJq1GI9R6, DYAsNSGdPSKF) = (None, None)
(pxQoR1yY3Pb1, DaOmOlPiny62) = (None, None)
if Z0CIGGxaSe6o is not None:
(ARbjD6QEZhED, AwrArQ5wuVqx) = Fei3U0xopite.split(ARbjD6QEZhED)
(Mheuhjd_531Z, mXwj77vGJRCO) = Z0CIGGxaSe6o(AwrArQ5wuVqx, pjSB7mnHzYyU, R1s2XZR64XJA)
(QsXGr6w9agpM, t2HehB4b4qnH) = ML9TlMfRB9gm(Mheuhjd_531Z)
else:
assert VyVDFItqY0vR and _t27Y7Gnre4z
(ARbjD6QEZhED, KhxHCWk93L16, hoogT7f_4sWb) = Fei3U0xopite.split(ARbjD6QEZhED, num=ehT0Px3KOsy9('\x30' + chr(111) + '\063', 0b1000))
(VOhkJq1GI9R6, DYAsNSGdPSKF) = VyVDFItqY0vR(KhxHCWk93L16, pjSB7mnHzYyU, R1s2XZR64XJA)
(pxQoR1yY3Pb1, DaOmOlPiny62) = _t27Y7Gnre4z(hoogT7f_4sWb, pjSB7mnHzYyU, R1s2XZR64XJA)
(eyeuDxTaatH6, CyA6P_gt_rjk) = Ii09u1xORrqo(VOhkJq1GI9R6)
(I84MG50W9p7X, tjBiScFxMiQo) = U7bOi3l3Lk9z(pxQoR1yY3Pb1)
def EwlMJqqYoEh0(uswa0rn3Tb4L):
if DYAsNSGdPSKF is not None:
assert VOhkJq1GI9R6
return DYAsNSGdPSKF(uswa0rn3Tb4L, VOhkJq1GI9R6)
assert mXwj77vGJRCO and Mheuhjd_531Z
(zeaoUYG05X_8, l6MQSb5cjJeT) = mXwj77vGJRCO(uswa0rn3Tb4L, Mheuhjd_531Z)
return zeaoUYG05X_8
for WVxHKyX45z_L in vQr8gNKaIaWE(xvDB7qObFSrr):
YeT3l7JgTbWR = ltvhPP4VhXre.time()
uEvxIW6xdqGp = YeT3l7JgTbWR
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), '\144' + '\145' + '\143' + chr(111) + chr(0b1100100) + chr(0b1100000 + 0o5))(chr(6528 - 6411) + chr(116) + chr(102) + chr(1667 - 1622) + chr(0b111 + 0o61)))(ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(2197 - 2086) + chr(901 - 852), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\xe6\xde\xcf]\x8d\x12\x96\xb8o \xa6\x05\xe5\xbf\xc3.\x1bY\x87\x8c\x18\xfc\x1a\xc5\x87)\xe3W\x81-\xe0\xfbK\x99j<'), chr(9089 - 8989) + '\145' + chr(419 - 320) + '\x6f' + chr(0b1100100) + '\x65')(chr(0b1110101) + '\x74' + chr(687 - 585) + chr(854 - 809) + chr(56)), WVxHKyX45z_L)
H6UkcoTgEgEa = v03R7n4_R5i4(xzsHIGfR8Ip5, policy_fun=EwlMJqqYoEh0, num_trajectories=ix9dZyeAmUxY, policy=QsohohOFD1Yy, max_timestep=ryDEkWyGRmeN, epsilon=10.0 / (WVxHKyX45z_L + 10.0))
uq4HkSCPAHqA = kkSX4ccExqw4(xkxBmo49x2An((WqUC3KWvYVup.xkxBmo49x2An(qQD6pDh9PCQ9[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1383 - 1333), 54976 - 54968)]) for qQD6pDh9PCQ9 in H6UkcoTgEgEa))) / c2A0yzQpDQB3(H6UkcoTgEgEa)
ZKyWwD02HWSB = tsdjvlgh9gDP((WqUC3KWvYVup.xkxBmo49x2An(qQD6pDh9PCQ9[ehT0Px3KOsy9(chr(85 - 37) + chr(0b1101100 + 0o3) + '\x32', 8)]) for qQD6pDh9PCQ9 in H6UkcoTgEgEa))
V3tTGLj6OXEA = Dx22bkKPdt5d((WqUC3KWvYVup.xkxBmo49x2An(qQD6pDh9PCQ9[ehT0Px3KOsy9('\x30' + '\157' + chr(995 - 945), 8)]) for qQD6pDh9PCQ9 in H6UkcoTgEgEa))
xafqLlk3kkUe(gX1jz6ty83w5, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\xe6\xc1\xc9[\xc9'), chr(100) + '\x65' + '\143' + chr(111) + '\144' + '\145')('\165' + '\x74' + '\146' + chr(0b100000 + 0o15) + chr(367 - 311)))(uq4HkSCPAHqA)
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), chr(100) + '\145' + chr(0b1000101 + 0o36) + chr(1972 - 1861) + '\144' + '\x65')('\x75' + '\164' + chr(102) + chr(0b101010 + 0o3) + chr(56)))(ehT0Px3KOsy9('\x30' + '\x6f' + '\x31', 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\xf3\xc6\xcdG\xc9:\x93\xf9/!\x89D\xe1\xb5\x92\x19[\n\xdd\xd7\x10\xc6\x16\x91\x98)\xf1\x0f\xb9|\xbf\xa7\x10\x9aD>]R\xf3\xb7\xab\xea\x89\x05\x83{\xd5\xc5'), '\x64' + '\x65' + chr(99) + chr(10810 - 10699) + chr(0b1010001 + 0o23) + chr(7701 - 7600))(chr(0b1110101) + chr(116) + chr(0b1100 + 0o132) + chr(1306 - 1261) + '\x38'), uq4HkSCPAHqA, ZKyWwD02HWSB, V3tTGLj6OXEA)
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), chr(100) + chr(0b1100101) + '\143' + chr(6580 - 6469) + '\x64' + '\x65')('\x75' + '\164' + chr(0b1100110) + chr(0b10010 + 0o33) + chr(1736 - 1680)))(ehT0Px3KOsy9(chr(48) + chr(0b100011 + 0o114) + chr(0b11000 + 0o31), 8), xafqLlk3kkUe(SXOLrMavuUCe(b"\x9a\xf9\xdd\xc0P\xce=\xda\xf6>d\x8fW\xe7\xba\xca!\nU\x81\x8c\x13\xe8\x1a\xc5\x9a'\xe2\x12\xc7i\xa1\xbbD\xdcta\x18\\\xb4"), chr(100) + chr(0b1100101) + '\x63' + chr(0b110001 + 0o76) + chr(0b1100100) + '\x65')('\165' + chr(0b1110100) + chr(102) + chr(45) + '\070'), nclLfZ2jxvI_(YeT3l7JgTbWR))
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), chr(100) + chr(0b1100101) + '\143' + chr(5047 - 4936) + chr(100) + chr(0b1011001 + 0o14))('\165' + '\x74' + chr(102) + chr(0b101101) + '\x38'))(ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061', 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\xe4\xd0\xc6P\xce=\xdc\xea d\xb7@\xe8\xb7\xdb*^[\x85\x80\x04\xfa]\xd4\xc8\x13\xac\x02\xcck\xe9\xd4\x0e\xdcts\x05\x02\xc1\xfc\xa6\x9f\x9eS\xf0e\x93\xf50*\xc6~\xa3\xe0\x81p\x18g'), chr(2584 - 2484) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b1001111 + 0o25) + chr(0b100111 + 0o76))('\x75' + chr(372 - 256) + chr(2254 - 2152) + chr(45) + chr(0b10001 + 0o47)), kkSX4ccExqw4(xkxBmo49x2An((c2A0yzQpDQB3(qQD6pDh9PCQ9[ehT0Px3KOsy9('\x30' + chr(2840 - 2729) + chr(2182 - 2134), 0b1000)]) for qQD6pDh9PCQ9 in H6UkcoTgEgEa))) / c2A0yzQpDQB3(H6UkcoTgEgEa), tsdjvlgh9gDP((c2A0yzQpDQB3(qQD6pDh9PCQ9[ehT0Px3KOsy9(chr(431 - 383) + chr(111) + '\x30', 8)]) for qQD6pDh9PCQ9 in H6UkcoTgEgEa)), Dx22bkKPdt5d((c2A0yzQpDQB3(qQD6pDh9PCQ9[ehT0Px3KOsy9(chr(1351 - 1303) + chr(111) + chr(1503 - 1455), 8)]) for qQD6pDh9PCQ9 in H6UkcoTgEgEa)))
YeT3l7JgTbWR = ltvhPP4VhXre.time()
(VNGQdHSFPrso, XQHAbMr4P4IJ, NMTtGzIbULOi, bZuN4w5tzORn, cf1aO4AiTN9J) = Vm0XVlQLL8eF(H6UkcoTgEgEa, boundary=btzPOzjO3_Wq)
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), '\144' + chr(0b1100101) + chr(0b101111 + 0o64) + chr(111) + chr(0b1100100) + '\x65')(chr(0b110001 + 0o104) + chr(6063 - 5947) + '\x66' + '\055' + '\x38'))(ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + '\x31', 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\xf7\xd5\xc8\\\xc3.\x93\xec+%\x91@\xe5\xa4\xc00\x17_\x80\xc5\x02\xf4U\xda\xd5m\xb9\x1c\xd0?\xaf\xe4Q\x99z<'), chr(0b100111 + 0o75) + '\x65' + chr(0b1100011) + chr(0b10 + 0o155) + chr(100) + chr(0b1100101))(chr(9711 - 9594) + '\164' + chr(9096 - 8994) + '\055' + chr(0b101100 + 0o14)), nclLfZ2jxvI_(YeT3l7JgTbWR))
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), chr(100) + chr(101) + chr(5624 - 5525) + chr(11336 - 11225) + '\x64' + '\x65')('\165' + chr(0b1110100) + chr(0b1100110) + chr(706 - 661) + chr(56)))(ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\xf7\xd5\xc8P\xc9i\xfc\xfa*!\x89S\xe7\xa4\xc6-\x10I\xd4\xc5\x05\xf3[\xc1\x90h\xd2\x17\x91\x04'), '\144' + chr(4228 - 4127) + chr(2576 - 2477) + chr(6170 - 6059) + chr(3801 - 3701) + '\x65')('\x75' + '\164' + chr(0b1100110) + '\x2d' + chr(0b111000)), M8_cKLkHVB2V(xafqLlk3kkUe(NMTtGzIbULOi, xafqLlk3kkUe(SXOLrMavuUCe(b"\xb7\xf7\xc4\xf5S\xe1.\xdf\xcc)'\x99"), chr(0b1100100) + chr(7166 - 7065) + '\143' + chr(111) + chr(0b10000 + 0o124) + '\x65')(chr(0b1101110 + 0o7) + chr(116) + '\x66' + chr(0b11101 + 0o20) + '\x38'))))
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), chr(0b11111 + 0o105) + '\x65' + '\x63' + chr(8211 - 8100) + chr(0b100101 + 0o77) + '\145')(chr(7896 - 7779) + chr(0b1110100) + chr(4133 - 4031) + chr(815 - 770) + chr(56)))(ehT0Px3KOsy9(chr(48) + chr(11471 - 11360) + '\x31', 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\xf7\xd5\xc8P\xc9i\xf2\xfb--\x94K\xf5\xf7\x8f1\x16[\x83\x80V\xc0\x1f\xc2\xa8'), chr(6721 - 6621) + chr(0b1010110 + 0o17) + chr(0b110110 + 0o55) + '\x6f' + chr(0b1100100) + '\x65')(chr(2401 - 2284) + chr(0b1110100) + '\146' + '\055' + chr(56)), M8_cKLkHVB2V(xafqLlk3kkUe(bZuN4w5tzORn, xafqLlk3kkUe(SXOLrMavuUCe(b"\xb7\xf7\xc4\xf5S\xe1.\xdf\xcc)'\x99"), chr(0b1100100) + '\145' + '\x63' + chr(111) + '\x64' + chr(0b1100101))(chr(11115 - 10998) + '\x74' + chr(6807 - 6705) + chr(0b101101) + '\070'))))
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), chr(1711 - 1611) + '\145' + '\x63' + chr(0b1101111) + '\x64' + chr(7905 - 7804))(chr(117) + chr(116) + chr(0b11111 + 0o107) + chr(1963 - 1918) + chr(56)))(ehT0Px3KOsy9(chr(2229 - 2181) + chr(0b1101111) + chr(49), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\xf7\xd5\xc8P\xc9i\xe1\xfd.%\x89A\xf5\xf7\x8f1\x16[\x83\x80V\xc0\x1f\xc2\xa8'), '\144' + '\145' + chr(7830 - 7731) + chr(3732 - 3621) + '\x64' + chr(0b110011 + 0o62))(chr(117) + chr(0b110110 + 0o76) + '\x66' + chr(0b101101) + '\070'), M8_cKLkHVB2V(xafqLlk3kkUe(cf1aO4AiTN9J, xafqLlk3kkUe(SXOLrMavuUCe(b"\xb7\xf7\xc4\xf5S\xe1.\xdf\xcc)'\x99"), chr(0b1011101 + 0o7) + chr(0b1001001 + 0o34) + chr(0b101001 + 0o72) + '\157' + chr(0b1100011 + 0o1) + '\145')(chr(6780 - 6663) + '\164' + chr(0b1001111 + 0o27) + '\055' + chr(1969 - 1913)))))
(svfRBGgiDhUk, GkVqzVIYtSeO) = bZuN4w5tzORn.nauYfLglTpcb
assert (svfRBGgiDhUk, GkVqzVIYtSeO) == xafqLlk3kkUe(cf1aO4AiTN9J, xafqLlk3kkUe(SXOLrMavuUCe(b"\xb7\xf7\xc4\xf5S\xe1.\xdf\xcc)'\x99"), '\x64' + '\145' + '\143' + '\x6f' + '\x64' + chr(0b1000000 + 0o45))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(0b1100 + 0o41) + chr(1221 - 1165)))
assert (svfRBGgiDhUk, GkVqzVIYtSeO) == xafqLlk3kkUe(XQHAbMr4P4IJ, xafqLlk3kkUe(SXOLrMavuUCe(b"\xb7\xf7\xc4\xf5S\xe1.\xdf\xcc)'\x99"), chr(100) + chr(0b11111 + 0o106) + '\x63' + '\x6f' + chr(5687 - 5587) + chr(0b1100101))(chr(0b110010 + 0o103) + chr(1072 - 956) + '\146' + '\x2d' + '\x38'))
assert (svfRBGgiDhUk, GkVqzVIYtSeO + ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(704 - 655), 8)) == xafqLlk3kkUe(NMTtGzIbULOi, xafqLlk3kkUe(SXOLrMavuUCe(b"\xb7\xf7\xc4\xf5S\xe1.\xdf\xcc)'\x99"), '\144' + chr(4158 - 4057) + chr(99) + chr(0b1101111) + chr(0b100 + 0o140) + chr(0b110100 + 0o61))('\x75' + '\164' + '\146' + '\055' + chr(56)))[:ehT0Px3KOsy9('\060' + chr(1978 - 1867) + '\x32', 8)]
assert (svfRBGgiDhUk, GkVqzVIYtSeO + ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1010100 + 0o33) + chr(0b11001 + 0o30), 8)) + xafqLlk3kkUe(xzsHIGfR8Ip5.observation_space, xafqLlk3kkUe(SXOLrMavuUCe(b"\xb7\xf7\xc4\xf5S\xe1.\xdf\xcc)'\x99"), chr(0b101111 + 0o65) + chr(2787 - 2686) + chr(99) + chr(1986 - 1875) + '\144' + chr(0b1100101))(chr(117) + '\164' + '\146' + chr(765 - 720) + '\070')) == xafqLlk3kkUe(NMTtGzIbULOi, xafqLlk3kkUe(SXOLrMavuUCe(b"\xb7\xf7\xc4\xf5S\xe1.\xdf\xcc)'\x99"), '\144' + '\x65' + chr(0b1100011) + chr(111) + chr(0b1010 + 0o132) + '\x65')('\165' + chr(0b1110100) + chr(0b1010110 + 0o20) + '\x2d' + chr(56)))
NntCQi45_JQR = Xtig2zAKpR0T if xvDB7qObFSrr == ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b101111 + 0o100) + chr(358 - 309), 8) else Xtig2zAKpR0T * (1.0 - WVxHKyX45z_L / (xvDB7qObFSrr - ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + chr(0b101011 + 0o6), 8)))
(iiGeql1Wt_m6, d2ZarAlCl1Fz, fFSL46UcoL_A) = (None, None, None)
if mXwj77vGJRCO is not None:
YeT3l7JgTbWR = ltvhPP4VhXre.time()
(fFSL46UcoL_A, d2ZarAlCl1Fz, iiGeql1Wt_m6, VNGQdHSFPrso) = L8CAErh5qVLU(Mheuhjd_531Z, Mheuhjd_531Z, mXwj77vGJRCO, NMTtGzIbULOi, bZuN4w5tzORn, cf1aO4AiTN9J, XQHAbMr4P4IJ, gamma=nfeH4ZtvQXsW, lambda_=QWarUnKldUu9, epsilon=NntCQi45_JQR, c1=TpThDjlWvpLw, c2=p_VTgDPfRD4V)
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), '\144' + chr(101) + '\143' + chr(0b1101111) + chr(0b100011 + 0o101) + chr(1454 - 1353))(chr(0b110010 + 0o103) + chr(116) + chr(10290 - 10188) + chr(1013 - 968) + chr(56)))(ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(813 - 764), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\xf7\xdd\xcf@\xc1(\xc7\xf17#\xdbu\xa0\x86\x8f.\x11I\x80\xc5-\xbe\x0b\x81\xdbz\xef\x1a\xc7h\xbf\xa7\x10\x9a52X\x0e\xaa\xf7\xa4\xd7\x85h\x8d=\xdc\xf72d\xde\x15\xa8\xe2\xc9b\x13I\x96\x86X'), chr(0b1000110 + 0o36) + '\145' + chr(0b1000010 + 0o41) + chr(5005 - 4894) + chr(0b1000010 + 0o42) + chr(101))('\165' + chr(0b111010 + 0o72) + chr(0b1100110) + chr(1719 - 1674) + chr(0b101011 + 0o15)), fFSL46UcoL_A, iiGeql1Wt_m6, d2ZarAlCl1Fz, nclLfZ2jxvI_(YeT3l7JgTbWR))
else:
YeT3l7JgTbWR = ltvhPP4VhXre.time()
iiGeql1Wt_m6 = hKeS2yhNpAe2(DaOmOlPiny62, pxQoR1yY3Pb1, NMTtGzIbULOi, cf1aO4AiTN9J, XQHAbMr4P4IJ, gamma=nfeH4ZtvQXsW)
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), chr(0b1100100) + chr(101) + chr(0b101001 + 0o72) + '\x6f' + '\144' + chr(0b1001110 + 0o27))('\x75' + chr(0b1011011 + 0o31) + '\x66' + chr(0b101101) + chr(56)))(ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + '\061', 8), xafqLlk3kkUe(SXOLrMavuUCe(b"\x9a\xf7\xdd\xcf@\xc1(\xc7\xf17#\xdbS\xe7\xbc\xda'^V\x9c\x96\x05\xbbN\xde\x9a#\xa9\x17\xd2w\xbd\xef\x02\x91jw\x1e\x11"), chr(100) + '\x65' + chr(0b1100011) + chr(111) + '\x64' + chr(0b1110 + 0o127))('\165' + '\x74' + chr(6007 - 5905) + chr(0b101101) + '\070'), nclLfZ2jxvI_(YeT3l7JgTbWR))
YeT3l7JgTbWR = ltvhPP4VhXre.time()
d2ZarAlCl1Fz = JxiXJ7NpOWeq(DYAsNSGdPSKF, VOhkJq1GI9R6, VOhkJq1GI9R6, DaOmOlPiny62, pxQoR1yY3Pb1, NMTtGzIbULOi, bZuN4w5tzORn, cf1aO4AiTN9J, XQHAbMr4P4IJ, gamma=nfeH4ZtvQXsW, lambda_=QWarUnKldUu9, epsilon=NntCQi45_JQR)
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), chr(0b101111 + 0o65) + chr(101) + chr(5285 - 5186) + chr(111) + chr(100) + '\145')(chr(117) + '\x74' + '\146' + chr(0b101101) + '\x38'))(ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + '\x31', 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\xf7\xdd\xcf@\xc1(\xc7\xf17#\xdbu\xd6\x9f\x8f.\x11I\x80\xc5\x02\xf4U\xda\xd5m\xb9\x1c\xd0?\xaf\xe4Q\x99z<'), chr(8579 - 8479) + '\x65' + chr(8633 - 8534) + '\157' + '\x64' + chr(101))(chr(12786 - 12669) + '\164' + '\146' + '\x2d' + '\070'), nclLfZ2jxvI_(YeT3l7JgTbWR))
xafqLlk3kkUe(AlsBUkSLP_ht, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\xe6\xc1\xc9[\xc9'), '\x64' + chr(0b10000 + 0o125) + chr(3343 - 3244) + '\x6f' + '\144' + '\145')(chr(0b1110101) + '\x74' + chr(0b1100110) + '\055' + '\070'))(iiGeql1Wt_m6)
xafqLlk3kkUe(kdP8pnd72oSA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\xe6\xc1\xc9[\xc9'), chr(0b101110 + 0o66) + chr(7451 - 7350) + chr(0b1100011) + chr(9689 - 9578) + chr(100) + '\x65')(chr(117) + '\164' + '\x66' + '\055' + '\x38'))(-1.0 * d2ZarAlCl1Fz)
xafqLlk3kkUe(bJAH8zghYCcR, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\xe6\xc1\xc9[\xc9'), chr(100) + '\x65' + chr(0b1100011) + chr(0b1011110 + 0o21) + chr(0b1110 + 0o126) + chr(0b110101 + 0o60))(chr(0b1101100 + 0o11) + chr(116) + chr(102) + chr(0b11100 + 0o21) + chr(180 - 124)))(fFSL46UcoL_A)
if mXwj77vGJRCO:
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), chr(0b110000 + 0o64) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + '\x64' + '\x65')(chr(0b101111 + 0o106) + chr(0b101111 + 0o105) + chr(0b101100 + 0o72) + chr(45) + chr(0b1010 + 0o56)))(ehT0Px3KOsy9('\x30' + chr(0b101000 + 0o107) + '\x31', 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\xf9\xdd\xc5V\xd4i\xd2\xf6=d\xadD\xea\xa5\xcab1J\x87\x8c\x1b\xf2@\xd0\x81!\xe6\\'), chr(0b1100100) + chr(101) + chr(99) + chr(6542 - 6431) + chr(0b1100100) + '\145')(chr(0b1101010 + 0o13) + '\x74' + chr(0b1100110) + chr(45) + chr(0b101 + 0o63)))
ePnIUew7NPYz = ltvhPP4VhXre.time()
for tlORBuYsiw3X in vQr8gNKaIaWE(iEwTl4YvL_Xf):
YeT3l7JgTbWR = ltvhPP4VhXre.time()
QsXGr6w9agpM = X9VTILcJD_oG(tlORBuYsiw3X, QsXGr6w9agpM, t2HehB4b4qnH, mXwj77vGJRCO, Mheuhjd_531Z, NMTtGzIbULOi, bZuN4w5tzORn, cf1aO4AiTN9J, XQHAbMr4P4IJ, c1=TpThDjlWvpLw, c2=p_VTgDPfRD4V, gamma=nfeH4ZtvQXsW, lambda_=QWarUnKldUu9, epsilon=NntCQi45_JQR)
kzlXoYCxxWLU = ltvhPP4VhXre.time()
bOy6kAZ68TeV = Hppoazc6lhXg.get_params(QsXGr6w9agpM)
if (tlORBuYsiw3X + ehT0Px3KOsy9(chr(1417 - 1369) + '\157' + '\x31', 8)) % x6muQcIWFlLu == ehT0Px3KOsy9('\x30' + '\157' + chr(0b11011 + 0o25), 8) or tlORBuYsiw3X == iEwTl4YvL_Xf - ehT0Px3KOsy9(chr(0b110000) + chr(0b11011 + 0o124) + chr(0b100011 + 0o16), 8):
(nun2LM1cH5Wb, gwsZrOuKe5CS, P4Qtw75n3fxa, YkNCnnMTCRaE) = L8CAErh5qVLU(bOy6kAZ68TeV, Mheuhjd_531Z, mXwj77vGJRCO, NMTtGzIbULOi, bZuN4w5tzORn, cf1aO4AiTN9J, XQHAbMr4P4IJ, gamma=nfeH4ZtvQXsW, lambda_=QWarUnKldUu9, epsilon=NntCQi45_JQR, c1=TpThDjlWvpLw, c2=p_VTgDPfRD4V)
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), '\x64' + '\x65' + '\x63' + '\157' + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(116) + '\x66' + chr(1298 - 1253) + '\070'))(ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x96\xf8\xd4\x8ce\xc2%\xda\xfb d\x9aK\xe2\xf0\xf9#\x12O\x96\xc5\x11\xe9[\xd5\xd5,\xecA\x81y\xfb\xe6M\x97#2X\x0f\xb4\xeb\xf0\x91\xc1F\xc8*'), chr(0b1100100) + chr(101) + '\143' + '\157' + chr(0b1000111 + 0o35) + '\x65')(chr(0b11110 + 0o127) + chr(0b1001001 + 0o53) + '\x66' + chr(330 - 285) + chr(56)), nclLfZ2jxvI_(YeT3l7JgTbWR, kzlXoYCxxWLU))
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), chr(0b1100100) + chr(101) + chr(0b101101 + 0o66) + chr(0b1101111) + chr(100 - 0) + '\145')(chr(0b100111 + 0o116) + chr(0b1010011 + 0o41) + chr(3993 - 3891) + '\x2d' + chr(0b111000)))(ehT0Px3KOsy9('\060' + '\x6f' + '\x31', 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\xf9\xdc\xce\\\xc3,\xd7\xb8\x15+\x88V\xae\xa6\xce.\x0b_\xdf\xc5\x06\xebU\x98\xd5\x13\xac\x03\xd2w\xbd\xef\x7f\xdc4,]d\xbf\xe8\xa6\x9f\x9eS\x85l\x82\xa8wv\x9d\t\xa3\xe1\x9flL\\\xda\xb8'), '\x64' + chr(0b100 + 0o141) + chr(0b1000001 + 0o42) + chr(111) + chr(0b1100100) + '\x65')('\165' + chr(0b1011110 + 0o26) + '\146' + '\x2d' + chr(0b111000)), fFSL46UcoL_A, nun2LM1cH5Wb, P4Qtw75n3fxa, gwsZrOuKe5CS)
Mheuhjd_531Z = bOy6kAZ68TeV
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), chr(0b100100 + 0o100) + '\x65' + '\143' + chr(3927 - 3816) + chr(0b11000 + 0o114) + chr(10192 - 10091))(chr(117) + chr(116) + chr(0b110 + 0o140) + chr(45) + chr(0b111000)))(ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11110 + 0o23), 8), xafqLlk3kkUe(SXOLrMavuUCe(b"\x8d\xf9\xc5\xcdY\x8d\x19\xe3\xd7y(\x94V\xf5\xf0\xdd'\x1aO\x90\x91\x1f\xf4T\x91\xaem\xb9\x1c\xd0?\xd2\xac\x07"), chr(0b1100100) + '\145' + '\x63' + chr(0b1010001 + 0o36) + '\144' + chr(6718 - 6617))('\165' + chr(116) + chr(0b111 + 0o137) + chr(499 - 454) + chr(0b10011 + 0o45)), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(192 - 140) + chr(52), 67 - 59) * (fFSL46UcoL_A - nun2LM1cH5Wb) / xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\xf4\xc2'), chr(0b1100100) + '\x65' + '\x63' + '\x6f' + chr(6547 - 6447) + chr(0b1100101))('\x75' + chr(116) + chr(4793 - 4691) + chr(0b11011 + 0o22) + chr(2577 - 2521)))(fFSL46UcoL_A))
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\xa1\xf9\xd4@\xce.\x84\xf25\x1e\x90'), chr(0b111101 + 0o47) + chr(101) + chr(726 - 627) + '\x6f' + '\144' + chr(2906 - 2805))(chr(0b1001000 + 0o55) + chr(0b1110100) + chr(1410 - 1308) + '\055' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\xe6\xde\xcf]\x8d\x12\x96\xb8o \xa6\t\xa6\x82\xca5\x1fH\x97\xbe\x1b\xf2T\x9d\xd5%\xe8J\xcey\xee\xffE\xa19IX\x0e\xaa\xf7\xa4\xd7\x80\x10\x9cy\x9d\xaa?h\xde\x14\xb6\xfe\x9d$#\x16\xd3\xa6\x19\xf6X\xd8\x9b-\xed\x12\xae6\xfc\xfa\n\x8ax~\x08Z\xb6\xf9\xe6\xc1\xc3\x1c\x8d\x12\x96\xa9ij\xc9C\xae\xf5\x9erP\x08\x95\xc9S\xaa\n\x9f\xc7.\xa0o\xcey\xfb\xe6M\x979IX\x0e\xaa\xf7\xa4\xd7\x8cX\xde,\xd0\xc5'), chr(0b11010 + 0o112) + '\x65' + '\143' + chr(0b1101110 + 0o1) + chr(100) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(45) + '\070'), WVxHKyX45z_L, V3tTGLj6OXEA, ZKyWwD02HWSB, uq4HkSCPAHqA, nun2LM1cH5Wb, P4Qtw75n3fxa, gwsZrOuKe5CS, nclLfZ2jxvI_(ePnIUew7NPYz))
else:
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), chr(0b11111 + 0o105) + chr(0b1100101) + chr(0b1000100 + 0o37) + chr(0b110101 + 0o72) + '\x64' + chr(0b1010100 + 0o21))(chr(0b10101 + 0o140) + '\x74' + '\x66' + '\055' + '\070'))(ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\xc6\xfe\x8cz\xdd=\xda\xf50>\x9aQ\xef\xbf\xc1'), '\144' + chr(0b1011111 + 0o6) + chr(0b1100011) + '\157' + chr(7573 - 7473) + chr(0b1100101))('\165' + chr(0b1011111 + 0o25) + '\x66' + '\x2d' + chr(0b111000)))
ePnIUew7NPYz = ltvhPP4VhXre.time()
for tlORBuYsiw3X in vQr8gNKaIaWE(iEwTl4YvL_Xf):
YeT3l7JgTbWR = ltvhPP4VhXre.time()
eyeuDxTaatH6 = CsHWO7mMyGyp(tlORBuYsiw3X, eyeuDxTaatH6, CyA6P_gt_rjk, DYAsNSGdPSKF, VOhkJq1GI9R6, DaOmOlPiny62, pxQoR1yY3Pb1, NMTtGzIbULOi, bZuN4w5tzORn, cf1aO4AiTN9J, XQHAbMr4P4IJ, gamma=nfeH4ZtvQXsW, lambda_=QWarUnKldUu9, epsilon=NntCQi45_JQR)
kzlXoYCxxWLU = ltvhPP4VhXre.time()
j43XeznMu8UT = Hppoazc6lhXg.get_params(eyeuDxTaatH6)
if (tlORBuYsiw3X + ehT0Px3KOsy9(chr(48) + '\x6f' + chr(509 - 460), 8)) % x6muQcIWFlLu == ehT0Px3KOsy9(chr(2088 - 2040) + chr(10335 - 10224) + chr(0b110000), 8) or tlORBuYsiw3X == iEwTl4YvL_Xf - ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(0b110001), 8):
oV5JUm2FL84n = JxiXJ7NpOWeq(DYAsNSGdPSKF, j43XeznMu8UT, VOhkJq1GI9R6, DaOmOlPiny62, pxQoR1yY3Pb1, NMTtGzIbULOi, bZuN4w5tzORn, cf1aO4AiTN9J, XQHAbMr4P4IJ, gamma=nfeH4ZtvQXsW, lambda_=QWarUnKldUu9, epsilon=NntCQi45_JQR)
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), chr(0b1100100) + chr(9117 - 9016) + chr(0b100100 + 0o77) + '\157' + chr(3826 - 3726) + '\145')(chr(0b1110101) + chr(1684 - 1568) + chr(0b1100110) + chr(0b10001 + 0o34) + '\x38'))(ehT0Px3KOsy9(chr(0b110000) + chr(8718 - 8607) + chr(0b101111 + 0o2), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x96\xf8\xd4\x8ce\xfd\x06\x93\xff+%\x9f\x05\xe2\xb5\xdc!^N\x9c\x8a\x1d\xa1\x1a\x94\xc5f\xbbT\xc24\xfc\xecA'), chr(0b101110 + 0o66) + chr(0b1011011 + 0o12) + '\143' + chr(0b1100011 + 0o14) + chr(0b10 + 0o142) + chr(2003 - 1902))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\055' + chr(0b101001 + 0o17)), nclLfZ2jxvI_(YeT3l7JgTbWR, kzlXoYCxxWLU))
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), chr(100) + chr(2973 - 2872) + chr(8222 - 8123) + chr(0b0 + 0o157) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(1706 - 1650)))(ehT0Px3KOsy9('\060' + chr(8459 - 8348) + chr(1615 - 1566), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\xc6\xfe\x8cY\xc2:\xc0\xb8\x02a\xca\x15\xa8\xe2\xc9\x1f^\x17\xcd\xc5-\xbe\x0b\x81\xdbz\xefo'), chr(2223 - 2123) + chr(7564 - 7463) + '\143' + chr(111) + chr(0b100100 + 0o100) + chr(4721 - 4620))('\165' + '\164' + chr(0b1100110) + chr(0b101101) + '\070'), d2ZarAlCl1Fz, oV5JUm2FL84n)
VOhkJq1GI9R6 = j43XeznMu8UT
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), '\x64' + chr(0b1100101) + chr(99) + '\x6f' + '\144' + chr(101))('\x75' + chr(116) + '\146' + chr(0b100000 + 0o15) + chr(0b100100 + 0o24)))(ehT0Px3KOsy9('\x30' + chr(4362 - 4251) + chr(49), 8), xafqLlk3kkUe(SXOLrMavuUCe(b"\x8d\xf9\xc5\xcdY\x8d\x19\xe3\xd7y(\x94V\xf5\xf0\xdd'\x1aO\x90\x91\x1f\xf4T\x91\xaem\xb9\x1c\xd0?\xd2\xac\x07"), chr(0b1100100) + chr(0b100111 + 0o76) + chr(0b1100011) + '\x6f' + '\x64' + '\x65')('\165' + chr(9800 - 9684) + '\146' + chr(45) + chr(2279 - 2223)), ehT0Px3KOsy9(chr(48) + chr(9212 - 9101) + chr(0b110001) + chr(52) + chr(0b1110 + 0o46), 8) * (d2ZarAlCl1Fz - oV5JUm2FL84n) / xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\xf4\xc2'), chr(0b1001000 + 0o34) + '\x65' + chr(99) + chr(111) + chr(0b1 + 0o143) + chr(3608 - 3507))(chr(0b1110101) + '\164' + chr(0b110100 + 0o62) + chr(45) + '\x38'))(d2ZarAlCl1Fz))
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), chr(0b1010101 + 0o17) + '\x65' + '\143' + '\157' + chr(0b1100100) + '\x65')('\165' + chr(0b1110100) + chr(0b1011111 + 0o7) + chr(45) + '\070'))(ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10111 + 0o32), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xf7\xdd\xd9P\x8d\x06\xc3\xec0)\x92_\xe7\xa4\xc6-\x10'), chr(0b1011101 + 0o7) + chr(101) + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(0b1100101))('\x75' + '\x74' + chr(9069 - 8967) + '\055' + chr(56)))
for tlORBuYsiw3X in vQr8gNKaIaWE(iEwTl4YvL_Xf):
YeT3l7JgTbWR = ltvhPP4VhXre.time()
I84MG50W9p7X = WdIToP50miEn(tlORBuYsiw3X, I84MG50W9p7X, tjBiScFxMiQo, DaOmOlPiny62, NMTtGzIbULOi, cf1aO4AiTN9J, XQHAbMr4P4IJ, gamma=nfeH4ZtvQXsW)
kzlXoYCxxWLU = ltvhPP4VhXre.time()
pxQoR1yY3Pb1 = Hppoazc6lhXg.get_params(I84MG50W9p7X)
if (tlORBuYsiw3X + ehT0Px3KOsy9(chr(48) + chr(7993 - 7882) + chr(1847 - 1798), 8)) % x6muQcIWFlLu == ehT0Px3KOsy9(chr(2034 - 1986) + chr(0b1101111) + chr(0b10011 + 0o35), 8) or tlORBuYsiw3X == iEwTl4YvL_Xf - ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001), 8):
sLaDqMKPyKcY = hKeS2yhNpAe2(DaOmOlPiny62, pxQoR1yY3Pb1, NMTtGzIbULOi, cf1aO4AiTN9J, XQHAbMr4P4IJ, gamma=nfeH4ZtvQXsW)
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), chr(0b1000110 + 0o36) + '\145' + chr(0b1100011) + '\x6f' + chr(8413 - 8313) + chr(0b111000 + 0o55))(chr(11439 - 11322) + chr(116) + '\x66' + chr(45) + chr(2882 - 2826)))(ehT0Px3KOsy9('\060' + '\157' + chr(49), 8), xafqLlk3kkUe(SXOLrMavuUCe(b"\x96\xf8\xd4\x8cC\xcc%\xc6\xfdy#\x89D\xe2\xf0\xcb'\rY\xd3\x91\x19\xf4Q\x8b\xd5m\xb9\x1c\xd0?\xaf\xe4Q\x99z"), '\144' + chr(0b1100101) + '\x63' + '\157' + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b1011 + 0o151) + chr(0b1100110) + chr(45) + chr(56)), nclLfZ2jxvI_(YeT3l7JgTbWR, kzlXoYCxxWLU))
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), '\x64' + chr(0b1011111 + 0o6) + '\x63' + chr(0b1101111) + '\144' + chr(101))(chr(12877 - 12760) + '\x74' + chr(1085 - 983) + chr(0b101101) + chr(56)))(ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(49), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xf7\xdd\xd9P\x8d%\xdc\xeb*d\xa0\x00\xb7\xe0\x81p\x18g\xd3\xc8H\xbba\x94\xc4x\xa7\x00\x84\x04'), chr(9414 - 9314) + '\x65' + chr(99) + '\157' + chr(6075 - 5975) + '\145')(chr(2587 - 2470) + chr(0b1110100) + chr(136 - 34) + chr(0b101 + 0o50) + chr(0b111000)), iiGeql1Wt_m6, sLaDqMKPyKcY)
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), chr(0b1010011 + 0o21) + chr(101) + chr(0b1100011) + '\x6f' + chr(4147 - 4047) + chr(0b10111 + 0o116))(chr(0b1110101 + 0o0) + chr(0b10 + 0o162) + '\x66' + chr(0b1111 + 0o36) + '\070'))(ehT0Px3KOsy9(chr(0b110000) + chr(0b101111 + 0o100) + '\x31', 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\xf9\xc5\xcdY\x8d?\xd2\xf4,!\xdbI\xe9\xa3\xdcb\x0c_\x97\x90\x15\xefS\xde\x9bh\xd2\x17\xd2w\xbd\xef\x7f\xd9<'), '\x64' + '\145' + chr(0b111000 + 0o53) + chr(8544 - 8433) + chr(0b1100100) + chr(0b1001011 + 0o32))(chr(0b11111 + 0o126) + chr(0b1110100) + chr(102) + chr(0b0 + 0o55) + chr(56)), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(0b1011 + 0o46) + '\064' + '\064', 8) * (iiGeql1Wt_m6 - sLaDqMKPyKcY) / xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\xf4\xc2'), chr(0b101 + 0o137) + '\x65' + '\143' + chr(0b1000110 + 0o51) + '\144' + chr(0b1010111 + 0o16))(chr(3031 - 2914) + '\x74' + chr(0b1100011 + 0o3) + chr(0b101101) + '\070'))(iiGeql1Wt_m6))
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), chr(5355 - 5255) + chr(101) + chr(0b110000 + 0o63) + chr(0b1101111) + '\x64' + chr(7322 - 7221))(chr(0b1110101) + chr(0b1110100 + 0o0) + '\146' + '\x2d' + chr(56)))(ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\xe4\xd0\xc8\x15\xc9,\xc0\xfby0\x94J\xed\xf0\x8arP\x08\x95\xc5\x1b\xe8_\xd2'), chr(0b1100100) + chr(0b1100101) + chr(0b10110 + 0o115) + '\x6f' + chr(0b1100100) + chr(101))(chr(117) + '\164' + chr(1640 - 1538) + chr(0b101101) + '\x38'), nclLfZ2jxvI_(ePnIUew7NPYz))
VOhkJq1GI9R6 = Hppoazc6lhXg.get_params(eyeuDxTaatH6)
pxQoR1yY3Pb1 = Hppoazc6lhXg.get_params(I84MG50W9p7X)
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\xa1\xf9\xd4@\xce.\x84\xf25\x1e\x90'), '\144' + chr(0b1100101) + chr(123 - 24) + '\157' + chr(0b111010 + 0o52) + chr(101))(chr(0b1110101) + chr(0b10101 + 0o137) + '\x66' + chr(0b101101) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\xe6\xde\xcf]\x8d\x12\x96\xb8o \xa6\t\xa6\x82\xca5\x1fH\x97\xbe\x1b\xf2T\x9d\xd5%\xe8J\xcey\xee\xffE\xa19IX\x0e\xaa\xf7\xa4\xd7\x80\x10\x9cy\x9d\xaa?h\xde\x14\xb6\xfe\x9d$#\x16\xd3\x95\x06\xf4\x1a\xdd\x9a;\xfa\x12\xb9|\xbe\xb9\x0c\xce\x7fOQ\x1f\xec\xb8\xfa\xc4\xc9\x15\xc1&\xc0\xeby\x1f\xde\x14\xb6\xfe\x9d$#\x16\xd3\x91\x19\xf4Q\x91\xaem\xb8\x02\xcck\xe9\xa9O\x8f|q '), '\144' + chr(0b1100101) + chr(0b110110 + 0o55) + chr(111) + chr(0b1100100) + '\x65')('\x75' + '\x74' + chr(0b1010100 + 0o22) + chr(0b11110 + 0o17) + chr(997 - 941)), WVxHKyX45z_L, V3tTGLj6OXEA, ZKyWwD02HWSB, uq4HkSCPAHqA, oV5JUm2FL84n, sLaDqMKPyKcY, nclLfZ2jxvI_(uEvxIW6xdqGp))
if VOhkJq1GI9R6:
ioXiyb__Hwuc(VOhkJq1GI9R6, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\xf9\xdd\xc5V\xd4\x16\xdd\xfd-\x1b\x8bD\xf4\xb1\xc21'), chr(100) + chr(0b1100101) + chr(99) + chr(111) + chr(0b110011 + 0o61) + chr(0b1100101))(chr(117) + chr(6572 - 6456) + chr(102) + '\055' + chr(0b10000 + 0o50)))
if pxQoR1yY3Pb1:
ioXiyb__Hwuc(pxQoR1yY3Pb1, xafqLlk3kkUe(SXOLrMavuUCe(b"\xaf\xf7\xdd\xd9P\xf2'\xd6\xec\x064\x9aW\xe7\xbd\xdc"), '\x64' + chr(101) + chr(0b1001110 + 0o25) + chr(111) + chr(100) + chr(101))('\165' + chr(0b1110100) + chr(102) + chr(45) + chr(114 - 58)))
if Mheuhjd_531Z:
ioXiyb__Hwuc(Mheuhjd_531Z, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\xf9\xdd\xc5V\xd4\x16\xd2\xf6=\x1b\x8dD\xea\xa5\xca\x1d\x10_\x87\xba\x06\xfaH\xd0\x98;'), chr(100) + chr(0b1100101) + chr(8624 - 8525) + chr(11710 - 11599) + chr(5890 - 5790) + chr(101))(chr(0b11101 + 0o130) + chr(0b1110100) + chr(0b1100110) + chr(0b110 + 0o47) + '\x38'))
if AlsBUkSLP_ht:
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), chr(0b11101 + 0o107) + chr(0b1100101) + chr(5302 - 5203) + chr(0b1101111) + chr(3470 - 3370) + chr(0b101001 + 0o74))(chr(13512 - 13395) + chr(0b1110100) + chr(0b1100110) + chr(0b11001 + 0o24) + '\x38'))(ehT0Px3KOsy9(chr(1456 - 1408) + chr(0b1001011 + 0o44) + '\x31', 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xf7\xdd\xd9P\xf2%\xdc\xeb*!\x88\x1f\xa6\xf5\xdc'), chr(8552 - 8452) + chr(0b1001010 + 0o33) + chr(2383 - 2284) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(0b110111 + 0o76) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b111000)), xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa\xe2\xd0\xcf^'), chr(6453 - 6353) + chr(0b1100101) + '\143' + '\x6f' + chr(7707 - 7607) + chr(8646 - 8545))(chr(3391 - 3274) + chr(0b1110100) + chr(0b1100110) + chr(0b1010 + 0o43) + '\070'))(AlsBUkSLP_ht))
if kdP8pnd72oSA:
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), chr(100) + '\x65' + '\x63' + '\157' + chr(100) + chr(101))(chr(0b1100001 + 0o24) + chr(0b1110100) + '\x66' + '\055' + chr(0b111000)))(ehT0Px3KOsy9(chr(1167 - 1119) + chr(111) + chr(49), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\xe6\xde\xf3Z\xcf#\xd6\xfb--\x8d@\xbc\xf0\x8a1'), chr(0b1100100) + chr(0b11000 + 0o115) + '\143' + '\x6f' + '\144' + chr(101))(chr(117) + '\x74' + chr(102) + chr(0b101101) + '\070'), xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa\xe2\xd0\xcf^'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(0b1000111 + 0o35) + chr(0b1010 + 0o133))(chr(117) + chr(0b1100011 + 0o21) + '\146' + '\055' + '\x38'))(kdP8pnd72oSA))
if gX1jz6ty83w5:
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xfa\xde\xcb'), chr(100) + chr(0b1100101) + chr(0b1001010 + 0o31) + '\157' + '\144' + chr(3412 - 3311))('\165' + chr(0b1101110 + 0o6) + chr(102) + '\055' + chr(0b111000)))(ehT0Px3KOsy9(chr(633 - 585) + '\157' + chr(49), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\xe0\xd4\xdeT\xca,\xec\xea<3\x9aW\xe2\xa3\x95b[I'), chr(0b1000110 + 0o36) + chr(0b10010 + 0o123) + '\143' + chr(111) + '\x64' + chr(101))('\x75' + chr(0b1110100) + chr(0b1001011 + 0o33) + chr(1827 - 1782) + '\x38'), gX1jz6ty83w5)
return ((VOhkJq1GI9R6, pxQoR1yY3Pb1), gX1jz6ty83w5, xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa\xe2\xd0\xcf^'), chr(0b1100100) + '\x65' + '\143' + chr(0b1101111) + '\x64' + chr(2670 - 2569))(chr(0b111111 + 0o66) + chr(0b1110100) + chr(0b1100110) + chr(0b100010 + 0o13) + chr(237 - 181)))(AlsBUkSLP_ht), xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa\xe2\xd0\xcf^'), chr(5495 - 5395) + chr(0b1001100 + 0o31) + chr(99) + chr(0b1100000 + 0o17) + chr(100) + chr(0b101101 + 0o70))('\165' + chr(5369 - 5253) + '\x66' + chr(108 - 63) + chr(56)))(kdP8pnd72oSA))
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/multinli.py
|
_maybe_download_corpora
|
def _maybe_download_corpora(tmp_dir):
"""Download corpora for multinli.
Args:
tmp_dir: a string
Returns:
a string
"""
mnli_filename = "MNLI.zip"
mnli_finalpath = os.path.join(tmp_dir, "MNLI")
if not tf.gfile.Exists(mnli_finalpath):
zip_filepath = generator_utils.maybe_download(
tmp_dir, mnli_filename, _MNLI_URL)
zip_ref = zipfile.ZipFile(zip_filepath, "r")
zip_ref.extractall(tmp_dir)
zip_ref.close()
return mnli_finalpath
|
python
|
def _maybe_download_corpora(tmp_dir):
"""Download corpora for multinli.
Args:
tmp_dir: a string
Returns:
a string
"""
mnli_filename = "MNLI.zip"
mnli_finalpath = os.path.join(tmp_dir, "MNLI")
if not tf.gfile.Exists(mnli_finalpath):
zip_filepath = generator_utils.maybe_download(
tmp_dir, mnli_filename, _MNLI_URL)
zip_ref = zipfile.ZipFile(zip_filepath, "r")
zip_ref.extractall(tmp_dir)
zip_ref.close()
return mnli_finalpath
|
[
"def",
"_maybe_download_corpora",
"(",
"tmp_dir",
")",
":",
"mnli_filename",
"=",
"\"MNLI.zip\"",
"mnli_finalpath",
"=",
"os",
".",
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"join",
"(",
"tmp_dir",
",",
"\"MNLI\"",
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"mnli_finalpath",
")",
":",
"zip_filepath",
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"generator_utils",
".",
"maybe_download",
"(",
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",",
"mnli_filename",
",",
"_MNLI_URL",
")",
"zip_ref",
"=",
"zipfile",
".",
"ZipFile",
"(",
"zip_filepath",
",",
"\"r\"",
")",
"zip_ref",
".",
"extractall",
"(",
"tmp_dir",
")",
"zip_ref",
".",
"close",
"(",
")",
"return",
"mnli_finalpath"
] |
Download corpora for multinli.
Args:
tmp_dir: a string
Returns:
a string
|
[
"Download",
"corpora",
"for",
"multinli",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/multinli.py#L42-L59
|
train
|
Download corpora for multinli.
× MNLI.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1 + 0o64) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(0b110010 + 0o2) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(1687 - 1636) + '\x36' + chr(2531 - 2480), 44509 - 44501), ehT0Px3KOsy9('\x30' + chr(0b10010 + 0o135) + '\x33' + chr(1091 - 1043) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + chr(2727 - 2674) + chr(0b10010 + 0o41), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010100 + 0o33) + chr(1920 - 1870) + chr(53) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000 + 0o147) + chr(1625 - 1575) + chr(1743 - 1693) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b110110 + 0o71) + chr(49) + '\x34' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(0b110011) + chr(517 - 464) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x37' + '\x33', 52652 - 52644), ehT0Px3KOsy9(chr(0b110000) + chr(4498 - 4387) + '\063' + chr(0b1000 + 0o53) + chr(0b110101), 18278 - 18270), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000101 + 0o52) + chr(50) + chr(0b100 + 0o57) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(9934 - 9823) + '\x33' + chr(0b110011 + 0o0) + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(54) + chr(0b101110 + 0o4), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1811 - 1762) + chr(54) + '\066', 54386 - 54378), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\x33' + chr(0b110100 + 0o1), 0o10), ehT0Px3KOsy9(chr(755 - 707) + chr(0b1010110 + 0o31) + chr(53) + chr(0b100011 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(1158 - 1110) + '\x34', 0o10), ehT0Px3KOsy9(chr(450 - 402) + chr(11961 - 11850) + chr(0b101000 + 0o13) + chr(0b101100 + 0o13) + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(0b11100 + 0o123) + chr(0b101110 + 0o5) + '\x34' + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(0b110001) + '\066', 32021 - 32013), ehT0Px3KOsy9(chr(570 - 522) + chr(111) + chr(51) + chr(54) + chr(650 - 596), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\063' + chr(0b100 + 0o54), 0o10), ehT0Px3KOsy9(chr(1851 - 1803) + chr(111) + chr(0b11011 + 0o30) + '\x36' + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + '\062' + chr(0b110011) + chr(1501 - 1450), 37868 - 37860), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1001110 + 0o41) + '\061' + '\063' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(624 - 576) + chr(0b1101111) + chr(0b110010) + '\062' + '\063', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(2449 - 2395) + chr(0b110000 + 0o5), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4047 - 3936) + chr(0b110001) + chr(0b101000 + 0o16) + chr(2108 - 2054), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101011 + 0o4) + chr(2138 - 2089) + chr(0b110110) + chr(949 - 901), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + chr(0b10 + 0o60) + chr(0b10001 + 0o44) + '\062', 29623 - 29615), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + '\x36' + chr(0b110100), 32518 - 32510), ehT0Px3KOsy9(chr(422 - 374) + chr(111) + chr(0b110110) + chr(53), 51005 - 50997), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100 + 0o61) + chr(1270 - 1216), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\065' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(1510 - 1462) + chr(5886 - 5775) + '\x32' + chr(647 - 599) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b10 + 0o61) + chr(0b110110) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\x34' + chr(0b11101 + 0o23), 62340 - 62332), ehT0Px3KOsy9('\060' + chr(5721 - 5610) + chr(1423 - 1374) + chr(0b101100 + 0o7) + chr(0b1111 + 0o44), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101111 + 0o3) + chr(0b11 + 0o56) + '\066', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53) + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x03'), '\144' + '\x65' + chr(0b1100011) + '\157' + chr(100) + '\x65')(chr(0b10011 + 0o142) + chr(0b1110100) + chr(3464 - 3362) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def oxMALP3yu1id(JsZ36NJUqtml):
xgJm_Hop6J9x = xafqLlk3kkUe(SXOLrMavuUCe(b'`\xac\xbf\x8b\x05\xd1\xfd\x14'), chr(0b1100100) + chr(0b1100101) + chr(99) + '\157' + '\144' + chr(0b1100101))('\x75' + '\164' + '\146' + chr(0b101101) + chr(56))
vARRGA_wqBB0 = oqhJDdMJfuwx.path.join(JsZ36NJUqtml, xafqLlk3kkUe(SXOLrMavuUCe(b'`\xac\xbf\x8b'), chr(5613 - 5513) + chr(0b1100101) + '\x63' + chr(111) + chr(100) + chr(2633 - 2532))('\165' + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\x38'))
if not xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'h\x9a\x9a\xb1_\xd8'), chr(0b111 + 0o135) + '\145' + chr(0b1100011 + 0o0) + chr(7484 - 7373) + chr(0b1011110 + 0o6) + chr(9382 - 9281))(chr(7072 - 6955) + '\x74' + chr(7445 - 7343) + chr(0b100100 + 0o11) + chr(1424 - 1368)))(vARRGA_wqBB0):
AIWeCMJ4GUY8 = g1Z_RG9zP4cD.maybe_download(JsZ36NJUqtml, xgJm_Hop6J9x, GMTMzoiQ1HnP)
Beno10LPAbTt = PFu838VwaBva.ZipFile(AIWeCMJ4GUY8, xafqLlk3kkUe(SXOLrMavuUCe(b'_'), chr(7635 - 7535) + chr(101) + chr(99) + '\157' + '\144' + chr(0b1100101))('\x75' + '\164' + chr(0b1100110) + '\055' + '\x38'))
xafqLlk3kkUe(Beno10LPAbTt, xafqLlk3kkUe(SXOLrMavuUCe(b'H\x9a\x87\xb0J\xc8\xe0\x05\x80W'), chr(7014 - 6914) + chr(0b1100101) + chr(1934 - 1835) + '\x6f' + chr(796 - 696) + chr(8597 - 8496))(chr(11975 - 11858) + chr(116) + chr(0b1100110) + chr(0b100010 + 0o13) + '\x38'))(JsZ36NJUqtml)
xafqLlk3kkUe(Beno10LPAbTt, xafqLlk3kkUe(SXOLrMavuUCe(b'N\x8e\x9c\xb1N'), '\144' + chr(716 - 615) + '\x63' + '\x6f' + '\x64' + chr(0b110111 + 0o56))(chr(117) + chr(0b111011 + 0o71) + chr(0b1100110) + '\x2d' + chr(253 - 197)))()
return vARRGA_wqBB0
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/multinli.py
|
_example_generator
|
def _example_generator(filename):
"""Generate mnli examples.
Args:
filename: a string
Yields:
dictionaries containing "premise", "hypothesis" and "label" strings
"""
for idx, line in enumerate(tf.gfile.Open(filename, "rb")):
if idx == 0: continue # skip header
line = text_encoder.to_unicode_utf8(line.strip())
split_line = line.split("\t")
# Works for both splits even though dev has some extra human labels.
yield {
"premise": split_line[8],
"hypothesis": split_line[9],
"label": split_line[-1]
}
|
python
|
def _example_generator(filename):
"""Generate mnli examples.
Args:
filename: a string
Yields:
dictionaries containing "premise", "hypothesis" and "label" strings
"""
for idx, line in enumerate(tf.gfile.Open(filename, "rb")):
if idx == 0: continue # skip header
line = text_encoder.to_unicode_utf8(line.strip())
split_line = line.split("\t")
# Works for both splits even though dev has some extra human labels.
yield {
"premise": split_line[8],
"hypothesis": split_line[9],
"label": split_line[-1]
}
|
[
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"_example_generator",
"(",
"filename",
")",
":",
"for",
"idx",
",",
"line",
"in",
"enumerate",
"(",
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"filename",
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"\"rb\"",
")",
")",
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":",
"continue",
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"(",
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"strip",
"(",
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")",
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"(",
"\"\\t\"",
")",
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"yield",
"{",
"\"premise\"",
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"[",
"9",
"]",
",",
"\"label\"",
":",
"split_line",
"[",
"-",
"1",
"]",
"}"
] |
Generate mnli examples.
Args:
filename: a string
Yields:
dictionaries containing "premise", "hypothesis" and "label" strings
|
[
"Generate",
"mnli",
"examples",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/multinli.py#L62-L79
|
train
|
Generate mnli examples.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b100011 + 0o17) + '\060', 34498 - 34490), ehT0Px3KOsy9('\060' + chr(0b100011 + 0o114) + chr(0b110001) + chr(0b101011 + 0o6) + chr(0b11101 + 0o26), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\x30' + chr(853 - 801), 0o10), ehT0Px3KOsy9('\060' + chr(6670 - 6559) + chr(49) + chr(52) + '\061', 27596 - 27588), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1001 + 0o50) + chr(0b11010 + 0o34) + chr(0b100000 + 0o25), 0b1000), ehT0Px3KOsy9(chr(2209 - 2161) + chr(111) + chr(49) + chr(0b1001 + 0o47) + chr(52), 8), ehT0Px3KOsy9(chr(1131 - 1083) + chr(0b1101111) + chr(0b110001) + '\066' + chr(0b110101), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b1000 + 0o55) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100101 + 0o22) + '\063', 40955 - 40947), ehT0Px3KOsy9(chr(0b110000) + chr(0b11000 + 0o127) + chr(172 - 117) + '\063', 8), ehT0Px3KOsy9(chr(2071 - 2023) + '\x6f' + chr(0b110011) + chr(48) + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11465 - 11354) + chr(0b110010) + chr(0b110101) + chr(0b110000 + 0o3), 38397 - 38389), ehT0Px3KOsy9(chr(1545 - 1497) + '\157' + chr(2010 - 1960) + chr(1712 - 1660), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\x32' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(0b110001), 4581 - 4573), ehT0Px3KOsy9(chr(1983 - 1935) + '\x6f' + chr(2711 - 2657) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(0b110110) + chr(0b10011 + 0o36), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\x37' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111000 + 0o67) + chr(0b10 + 0o60) + chr(0b100101 + 0o22) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(5076 - 4965) + chr(0b1000 + 0o53) + '\x37' + chr(0b1001 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + chr(0b10001 + 0o40) + '\060' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011001 + 0o26) + chr(0b110001) + chr(0b10000 + 0o43) + chr(0b11010 + 0o35), 0o10), ehT0Px3KOsy9('\x30' + chr(5935 - 5824) + chr(51) + chr(50) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(49) + chr(1483 - 1435) + chr(0b1110 + 0o42), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11000 + 0o32) + chr(0b10111 + 0o34) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(213 - 162) + chr(0b110101) + '\x34', 37096 - 37088), ehT0Px3KOsy9(chr(48) + '\157' + chr(2121 - 2072) + chr(0b1100 + 0o50), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + chr(1568 - 1518) + chr(0b110101) + chr(1394 - 1345), 63989 - 63981), ehT0Px3KOsy9(chr(1899 - 1851) + chr(0b1101111) + chr(0b1110 + 0o43) + chr(53) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(396 - 346) + '\065' + chr(1243 - 1190), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + '\x31' + chr(0b10110 + 0o32) + '\x37', 8), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + '\062' + chr(0b110010) + chr(0b101100 + 0o7), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + '\060' + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + '\064' + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000100 + 0o53) + chr(1676 - 1625) + chr(0b100000 + 0o22) + chr(2060 - 2011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(53) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\x31' + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2273 - 2224) + chr(0b110000) + chr(0b11010 + 0o31), ord("\x08")), ehT0Px3KOsy9('\060' + chr(11763 - 11652) + chr(0b110011) + '\x34' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\x31' + chr(0b10000 + 0o41), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(2177 - 2124) + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfe'), chr(0b1100100) + chr(0b100110 + 0o77) + chr(99) + chr(0b1101111) + chr(100) + '\145')(chr(0b10010 + 0o143) + chr(0b11111 + 0o125) + chr(228 - 126) + '\055' + chr(392 - 336)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def SFOgVyBoNT3y(xw4DsBfIJ22E):
for (YlqusYB6InkM, LycYkDpyelF6) in YlkZvXL8qwsX(xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f;!\x0f'), chr(0b1001100 + 0o30) + '\145' + '\143' + '\x6f' + chr(0b1100100) + chr(101))('\165' + '\164' + chr(0b1100110) + chr(0b101101) + '\070'))(xw4DsBfIJ22E, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2)'), chr(100) + chr(0b1100101) + chr(0b110011 + 0o60) + '\x6f' + chr(0b1100100) + '\x65')(chr(117) + chr(10296 - 10180) + chr(102) + chr(45) + '\x38'))):
if YlqusYB6InkM == ehT0Px3KOsy9(chr(2130 - 2082) + '\x6f' + chr(0b110000 + 0o0), 0b1000):
continue
LycYkDpyelF6 = nCRDzZ_Is9fz.to_unicode_utf8(LycYkDpyelF6.strip())
qzsiJCoXcUJT = LycYkDpyelF6.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9'), '\x64' + '\x65' + chr(0b1011001 + 0o12) + '\157' + '\144' + chr(101))(chr(11693 - 11576) + chr(0b1110100) + '\146' + chr(45) + '\070'))
yield {xafqLlk3kkUe(SXOLrMavuUCe(b'\xa09!\x0c\x1c7\x10'), chr(0b1100001 + 0o3) + chr(0b1100101) + chr(99) + chr(0b1101111) + '\x64' + chr(101))('\x75' + '\x74' + chr(102) + '\055' + chr(0b111000)): qzsiJCoXcUJT[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(48), ord("\x08"))], xafqLlk3kkUe(SXOLrMavuUCe(b'\xb824\x0e\x01,\x10\x1cRH'), '\x64' + '\x65' + chr(99) + '\x6f' + '\144' + '\x65')('\x75' + chr(971 - 855) + '\146' + chr(0b11000 + 0o25) + '\070'): qzsiJCoXcUJT[ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2054 - 2005) + '\061', 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc*&\x04\x19'), '\144' + '\x65' + chr(523 - 424) + '\x6f' + '\144' + '\x65')('\x75' + '\x74' + '\146' + chr(0b101101) + '\070'): qzsiJCoXcUJT[-ehT0Px3KOsy9(chr(48) + chr(11194 - 11083) + '\061', 33159 - 33151)]}
|
tensorflow/tensor2tensor
|
tensor2tensor/models/shake_shake.py
|
shake_shake_skip_connection
|
def shake_shake_skip_connection(x, output_filters, stride, is_training):
"""Adds a residual connection to the filter x for the shake-shake model."""
curr_filters = common_layers.shape_list(x)[-1]
if curr_filters == output_filters:
return x
stride_spec = [1, stride, stride, 1]
# Skip path 1.
path1 = tf.nn.avg_pool(x, [1, 1, 1, 1], stride_spec, "VALID")
path1 = tf.layers.conv2d(
path1, int(output_filters / 2), (1, 1), padding="SAME", name="path1_conv")
# Skip path 2.
pad_arr = [[0, 0], [0, 1], [0, 1], [0, 0]] # First pad with 0's then crop.
path2 = tf.pad(x, pad_arr)[:, 1:, 1:, :]
path2 = tf.nn.avg_pool(path2, [1, 1, 1, 1], stride_spec, "VALID")
path2 = tf.layers.conv2d(
path2, int(output_filters / 2), (1, 1), padding="SAME", name="path2_conv")
# Concat and apply BN.
final_path = tf.concat(values=[path1, path2], axis=-1)
final_path = tf.layers.batch_normalization(
final_path, training=is_training, name="final_path_bn")
return final_path
|
python
|
def shake_shake_skip_connection(x, output_filters, stride, is_training):
"""Adds a residual connection to the filter x for the shake-shake model."""
curr_filters = common_layers.shape_list(x)[-1]
if curr_filters == output_filters:
return x
stride_spec = [1, stride, stride, 1]
# Skip path 1.
path1 = tf.nn.avg_pool(x, [1, 1, 1, 1], stride_spec, "VALID")
path1 = tf.layers.conv2d(
path1, int(output_filters / 2), (1, 1), padding="SAME", name="path1_conv")
# Skip path 2.
pad_arr = [[0, 0], [0, 1], [0, 1], [0, 0]] # First pad with 0's then crop.
path2 = tf.pad(x, pad_arr)[:, 1:, 1:, :]
path2 = tf.nn.avg_pool(path2, [1, 1, 1, 1], stride_spec, "VALID")
path2 = tf.layers.conv2d(
path2, int(output_filters / 2), (1, 1), padding="SAME", name="path2_conv")
# Concat and apply BN.
final_path = tf.concat(values=[path1, path2], axis=-1)
final_path = tf.layers.batch_normalization(
final_path, training=is_training, name="final_path_bn")
return final_path
|
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] |
Adds a residual connection to the filter x for the shake-shake model.
|
[
"Adds",
"a",
"residual",
"connection",
"to",
"the",
"filter",
"x",
"for",
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"shake",
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"shake",
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/shake_shake.py#L30-L52
|
train
|
Adds a residual connection to the filter x for the shake - shake model.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + '\061' + chr(0b11101 + 0o24) + chr(678 - 627), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b110101) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11403 - 11292) + chr(0b110001) + chr(0b110100) + chr(0b101001 + 0o11), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000010 + 0o55) + chr(0b110010) + '\x34' + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\x37' + chr(0b110111), 62975 - 62967), ehT0Px3KOsy9('\x30' + chr(454 - 343) + chr(0b110011) + '\066' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b110010) + chr(52), 62542 - 62534), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(0b11111 + 0o26) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + '\x37' + chr(0b101110 + 0o4), 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(0b101100 + 0o5) + chr(2153 - 2100) + chr(0b100010 + 0o21), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\x37' + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\061' + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6046 - 5935) + chr(1867 - 1815) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010010 + 0o35) + chr(51) + '\065' + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100010 + 0o21) + '\060' + chr(2032 - 1982), 44672 - 44664), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(1235 - 1181) + '\063', 21472 - 21464), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(2967 - 2856) + '\062' + chr(55) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101110 + 0o101) + chr(51) + chr(48) + '\064', 29311 - 29303), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(52) + chr(55), 0b1000), ehT0Px3KOsy9(chr(869 - 821) + chr(1291 - 1180) + chr(0b101111 + 0o3) + chr(0b11111 + 0o22) + chr(1896 - 1846), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(1996 - 1945) + chr(0b10111 + 0o35), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(0b100101 + 0o15) + chr(1964 - 1914) + chr(2282 - 2233), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110100 + 0o73) + '\063' + chr(50) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1010 + 0o145) + chr(0b11001 + 0o32) + '\x34' + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100101 + 0o16) + chr(0b100111 + 0o14) + chr(931 - 878), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2056 - 2005) + chr(0b110101) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(0b111 + 0o150) + '\x32' + chr(711 - 660), 26332 - 26324), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b110010) + chr(50), 61613 - 61605), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(0b110011) + chr(2490 - 2440) + chr(0b110 + 0o61), 8), ehT0Px3KOsy9(chr(48) + chr(12160 - 12049) + chr(2174 - 2123) + chr(2147 - 2099) + '\064', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(787 - 738) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11 + 0o154) + chr(0b110010) + chr(0b110001 + 0o3) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11111 + 0o23) + '\061' + chr(2145 - 2096), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b10111 + 0o130) + chr(0b11111 + 0o27) + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b110010) + '\066', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(835 - 787) + chr(2061 - 2007), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110111) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2307 - 2196) + chr(1424 - 1374) + chr(0b110100) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b110110) + chr(0b1010 + 0o52), 0o10), ehT0Px3KOsy9(chr(251 - 203) + chr(0b1001011 + 0o44) + chr(0b101110 + 0o4) + '\x35' + chr(48), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b110000 + 0o77) + chr(0b10001 + 0o44) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'e'), chr(2569 - 2469) + chr(0b1001011 + 0o32) + chr(5933 - 5834) + chr(0b110000 + 0o77) + chr(0b1100100) + '\x65')('\165' + '\x74' + chr(102) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def fDXqu3two9dw(OeWW0F1dBPRQ, A3v6xokHa0UA, VKQ5wcD30goF, XQJVi3cQFN5l):
Ki4_eO4UBJa_ = jSKPaHwSAfVv.shape_list(OeWW0F1dBPRQ)[-ehT0Px3KOsy9(chr(1492 - 1444) + chr(10540 - 10429) + chr(0b110001), 0b1000)]
if Ki4_eO4UBJa_ == A3v6xokHa0UA:
return OeWW0F1dBPRQ
VT0YLITdqBoC = [ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(203 - 92) + chr(0b100001 + 0o20), 8), VKQ5wcD30goF, VKQ5wcD30goF, ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101101 + 0o4), 8)]
UIqZk89DvYrJ = IDJ2eXGCBCDu.nn.avg_pool(OeWW0F1dBPRQ, [ehT0Px3KOsy9(chr(48) + chr(0b1 + 0o156) + '\061', 8), ehT0Px3KOsy9(chr(1299 - 1251) + chr(0b1101111) + chr(49), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1100 + 0o45), 8)], VT0YLITdqBoC, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1d\xa9.\xed\xfb'), chr(7738 - 7638) + chr(0b1100101) + chr(5421 - 5322) + chr(111) + '\x64' + chr(101))(chr(0b100011 + 0o122) + chr(1175 - 1059) + chr(102) + chr(0b1101 + 0o40) + '\070'))
UIqZk89DvYrJ = IDJ2eXGCBCDu.layers.conv2d(UIqZk89DvYrJ, ehT0Px3KOsy9(A3v6xokHa0UA / ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100100 + 0o16), 0b1000)), (ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31', 8), ehT0Px3KOsy9(chr(669 - 621) + chr(0b1101111) + chr(2296 - 2247), 8)), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\x18\xa9/\xe1'), chr(0b1110 + 0o126) + '\145' + chr(0b1100011) + chr(0b11111 + 0o120) + chr(0b1100100) + '\145')(chr(0b1110101) + '\164' + chr(0b1100110) + '\x2d' + chr(0b111000)), name=xafqLlk3kkUe(SXOLrMavuUCe(b';\x89\x16\xcc\x8e\xaf\xf7\x04\x14\x1d'), chr(740 - 640) + '\x65' + '\143' + chr(0b1101111) + '\144' + chr(0b1100101))(chr(117) + '\x74' + chr(9173 - 9071) + chr(0b10110 + 0o27) + chr(0b111000)))
paGKLEmSwsyH = [[ehT0Px3KOsy9('\x30' + '\157' + '\060', 36446 - 36438), ehT0Px3KOsy9(chr(1205 - 1157) + '\157' + chr(0b110000), 8)], [ehT0Px3KOsy9('\x30' + chr(1145 - 1034) + '\060', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(272 - 223), 8)], [ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x30', 8), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(9693 - 9582) + '\x31', 8)], [ehT0Px3KOsy9('\060' + chr(111) + chr(48), 8), ehT0Px3KOsy9('\060' + chr(0b1011011 + 0o24) + '\060', 8)]]
WSlXq4Yr48FM = IDJ2eXGCBCDu.pad(OeWW0F1dBPRQ, paGKLEmSwsyH)[:, ehT0Px3KOsy9('\060' + '\157' + chr(1261 - 1212), 8):, ehT0Px3KOsy9('\060' + '\157' + chr(49), 8):, :]
WSlXq4Yr48FM = IDJ2eXGCBCDu.nn.avg_pool(WSlXq4Yr48FM, [ehT0Px3KOsy9('\x30' + chr(0b1101010 + 0o5) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49), 8), ehT0Px3KOsy9('\060' + chr(2277 - 2166) + chr(0b110001), 8), ehT0Px3KOsy9(chr(829 - 781) + chr(0b111111 + 0o60) + chr(49), 8)], VT0YLITdqBoC, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1d\xa9.\xed\xfb'), '\x64' + '\x65' + '\x63' + chr(0b1101111) + chr(100) + chr(0b100000 + 0o105))('\165' + chr(116) + chr(102) + chr(0b101101) + '\070'))
WSlXq4Yr48FM = IDJ2eXGCBCDu.layers.conv2d(WSlXq4Yr48FM, ehT0Px3KOsy9(A3v6xokHa0UA / ehT0Px3KOsy9(chr(0b110000) + chr(10122 - 10011) + chr(50), 8)), (ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49), 8), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(1677 - 1628), 8)), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\x18\xa9/\xe1'), chr(6060 - 5960) + chr(101) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(1735 - 1690) + '\x38'), name=xafqLlk3kkUe(SXOLrMavuUCe(b';\x89\x16\xcc\x8d\xaf\xf7\x04\x14\x1d'), '\x64' + chr(5773 - 5672) + chr(0b11110 + 0o105) + chr(1231 - 1120) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(2592 - 2476) + chr(0b1001100 + 0o32) + chr(45) + '\x38'))
AGyWRcbV5kno = IDJ2eXGCBCDu.concat(values=[UIqZk89DvYrJ, WSlXq4Yr48FM], axis=-ehT0Px3KOsy9('\x30' + '\x6f' + chr(985 - 936), 8))
AGyWRcbV5kno = IDJ2eXGCBCDu.layers.batch_normalization(AGyWRcbV5kno, training=XQJVi3cQFN5l, name=xafqLlk3kkUe(SXOLrMavuUCe(b'-\x81\x0c\xc5\xd3\xaf\xe4\n\x0e\x03\xa1\xedI'), chr(5649 - 5549) + chr(6513 - 6412) + '\143' + '\157' + '\x64' + chr(7500 - 7399))(chr(3996 - 3879) + '\x74' + chr(9210 - 9108) + '\055' + chr(56)))
return AGyWRcbV5kno
|
tensorflow/tensor2tensor
|
tensor2tensor/models/shake_shake.py
|
shake_shake_branch
|
def shake_shake_branch(x, output_filters, stride, rand_forward, rand_backward,
hparams):
"""Building a 2 branching convnet."""
is_training = hparams.mode == tf.estimator.ModeKeys.TRAIN
x = tf.nn.relu(x)
x = tf.layers.conv2d(
x,
output_filters, (3, 3),
strides=(stride, stride),
padding="SAME",
name="conv1")
x = tf.layers.batch_normalization(x, training=is_training, name="bn1")
x = tf.nn.relu(x)
x = tf.layers.conv2d(x, output_filters, (3, 3), padding="SAME", name="conv2")
x = tf.layers.batch_normalization(x, training=is_training, name="bn2")
if is_training:
x = x * rand_backward + tf.stop_gradient(x * rand_forward -
x * rand_backward)
else:
x *= 1.0 / hparams.shake_shake_num_branches
return x
|
python
|
def shake_shake_branch(x, output_filters, stride, rand_forward, rand_backward,
hparams):
"""Building a 2 branching convnet."""
is_training = hparams.mode == tf.estimator.ModeKeys.TRAIN
x = tf.nn.relu(x)
x = tf.layers.conv2d(
x,
output_filters, (3, 3),
strides=(stride, stride),
padding="SAME",
name="conv1")
x = tf.layers.batch_normalization(x, training=is_training, name="bn1")
x = tf.nn.relu(x)
x = tf.layers.conv2d(x, output_filters, (3, 3), padding="SAME", name="conv2")
x = tf.layers.batch_normalization(x, training=is_training, name="bn2")
if is_training:
x = x * rand_backward + tf.stop_gradient(x * rand_forward -
x * rand_backward)
else:
x *= 1.0 / hparams.shake_shake_num_branches
return x
|
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] |
Building a 2 branching convnet.
|
[
"Building",
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"convnet",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/shake_shake.py#L55-L75
|
train
|
Building a 2 branching convnet.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\x6f' + chr(1118 - 1068) + '\063' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1010110 + 0o31) + '\063' + '\062' + chr(0b110010 + 0o4), 36394 - 36386), ehT0Px3KOsy9(chr(48) + chr(0b1100010 + 0o15) + chr(51) + chr(0b110000) + chr(1026 - 976), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001011 + 0o44) + chr(0b11001 + 0o32) + chr(50) + '\066', 8), ehT0Px3KOsy9(chr(2140 - 2092) + chr(0b1101111) + chr(0b110001) + chr(0b10101 + 0o33), 0o10), ehT0Px3KOsy9(chr(1031 - 983) + chr(0b1101111) + chr(49) + chr(48) + chr(0b11010 + 0o26), 62878 - 62870), ehT0Px3KOsy9(chr(2174 - 2126) + chr(0b1101111) + '\x32' + chr(0b1011 + 0o53) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(52) + chr(0b110100), 11697 - 11689), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001100 + 0o43) + chr(49) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(389 - 341) + chr(0b1101111) + chr(0b110011) + chr(54) + chr(51), 0b1000), ehT0Px3KOsy9(chr(1053 - 1005) + '\157' + chr(0b10111 + 0o33) + chr(0b10101 + 0o34) + chr(2458 - 2408), 0o10), ehT0Px3KOsy9('\060' + chr(0b101000 + 0o107) + '\062' + chr(49) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + '\x33' + chr(122 - 68) + chr(52 - 2), 0o10), ehT0Px3KOsy9('\060' + chr(6770 - 6659) + chr(49) + '\x33' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(0b110001) + '\065' + chr(50), 51154 - 51146), ehT0Px3KOsy9(chr(48) + '\157' + '\065' + chr(1774 - 1725), 11654 - 11646), ehT0Px3KOsy9(chr(2206 - 2158) + chr(111) + chr(0b10111 + 0o34) + chr(0b110101) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(1320 - 1272) + chr(1634 - 1523) + '\x31' + '\066' + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + chr(7922 - 7811) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + '\063' + chr(0b110011 + 0o4), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3813 - 3702) + chr(0b1100 + 0o47) + chr(2735 - 2681) + chr(1658 - 1604), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1633 - 1522) + '\066' + chr(48), 4036 - 4028), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(0b110010) + chr(0b110001 + 0o5), 8), ehT0Px3KOsy9('\x30' + chr(0b101101 + 0o102) + chr(1307 - 1257) + chr(49) + '\062', 8), ehT0Px3KOsy9(chr(2166 - 2118) + chr(111) + '\063' + '\x30' + chr(0b11100 + 0o30), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110110) + chr(50), 44288 - 44280), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + '\060' + '\063', 22308 - 22300), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(160 - 109) + chr(0b11000 + 0o30), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(52) + '\x32', 10554 - 10546), ehT0Px3KOsy9('\060' + chr(1096 - 985) + chr(50) + chr(0b11101 + 0o30), 52466 - 52458), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1100010 + 0o15) + chr(55) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8739 - 8628) + '\063' + chr(50) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + '\065' + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(12310 - 12199) + chr(50) + chr(55) + '\067', 17355 - 17347), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2225 - 2176) + chr(0b110010 + 0o0) + chr(0b101010 + 0o13), 10599 - 10591), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(2234 - 2184) + chr(0b110101), 40236 - 40228), ehT0Px3KOsy9(chr(48) + '\157' + chr(618 - 569) + chr(54) + '\067', 15701 - 15693), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(4690 - 4579) + chr(0b10001 + 0o42) + chr(2415 - 2365) + chr(53), 44982 - 44974), ehT0Px3KOsy9('\x30' + chr(0b1010011 + 0o34) + '\x31' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b0 + 0o62) + '\063', 50752 - 50744)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101100 + 0o3) + chr(0b100101 + 0o20) + '\x30', 13468 - 13460)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7'), chr(0b1100100) + chr(0b1100101) + chr(280 - 181) + '\x6f' + chr(100) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(1228 - 1172)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def FhGTTttTBYNZ(OeWW0F1dBPRQ, A3v6xokHa0UA, VKQ5wcD30goF, _vD_brerMo9B, TSebe7eu7QPA, n4ljua2gi1Pr):
XQJVi3cQFN5l = n4ljua2gi1Pr.mode == IDJ2eXGCBCDu.estimator.ModeKeys.TRAIN
OeWW0F1dBPRQ = IDJ2eXGCBCDu.nn.relu(OeWW0F1dBPRQ)
OeWW0F1dBPRQ = IDJ2eXGCBCDu.layers.conv2d(OeWW0F1dBPRQ, A3v6xokHa0UA, (ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101111 + 0o4), 8)), strides=(VKQ5wcD30goF, VKQ5wcD30goF), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\x97\x8f\x93'), chr(0b1010100 + 0o20) + '\x65' + chr(0b101110 + 0o65) + '\157' + chr(0b1011100 + 0o10) + chr(0b1011110 + 0o7))(chr(0b1001000 + 0o55) + '\x74' + '\x66' + '\x2d' + chr(0b111000)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\xb9\xac\xa09'), chr(0b1100100) + chr(101) + chr(0b1000 + 0o133) + '\157' + chr(0b1011111 + 0o5) + chr(0b1100101))(chr(0b111011 + 0o72) + chr(0b1110100) + chr(102) + chr(45) + chr(1847 - 1791)))
OeWW0F1dBPRQ = IDJ2eXGCBCDu.layers.batch_normalization(OeWW0F1dBPRQ, training=XQJVi3cQFN5l, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xb8\xf3'), chr(100) + chr(4575 - 4474) + chr(99) + '\x6f' + '\144' + chr(0b1011 + 0o132))(chr(0b1101011 + 0o12) + '\x74' + chr(0b1100110) + chr(45) + chr(56)))
OeWW0F1dBPRQ = IDJ2eXGCBCDu.nn.relu(OeWW0F1dBPRQ)
OeWW0F1dBPRQ = IDJ2eXGCBCDu.layers.conv2d(OeWW0F1dBPRQ, A3v6xokHa0UA, (ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(0b101000 + 0o13), 8)), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\x97\x8f\x93'), '\x64' + chr(4956 - 4855) + '\x63' + '\x6f' + '\x64' + chr(0b1100101))('\x75' + '\x74' + chr(0b1000001 + 0o45) + chr(45) + chr(56)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\xb9\xac\xa0:'), '\144' + '\145' + chr(0b1100011) + '\x6f' + chr(0b1100100) + '\145')('\165' + '\164' + chr(102) + chr(1668 - 1623) + chr(56)))
OeWW0F1dBPRQ = IDJ2eXGCBCDu.layers.batch_normalization(OeWW0F1dBPRQ, training=XQJVi3cQFN5l, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xb8\xf0'), '\x64' + '\145' + '\x63' + '\157' + '\144' + '\145')('\165' + chr(116) + '\x66' + '\x2d' + '\x38'))
if XQJVi3cQFN5l:
OeWW0F1dBPRQ = OeWW0F1dBPRQ * TSebe7eu7QPA + IDJ2eXGCBCDu.stop_gradient(OeWW0F1dBPRQ * _vD_brerMo9B - OeWW0F1dBPRQ * TSebe7eu7QPA)
else:
OeWW0F1dBPRQ *= 1.0 / n4ljua2gi1Pr.shake_shake_num_branches
return OeWW0F1dBPRQ
|
tensorflow/tensor2tensor
|
tensor2tensor/models/shake_shake.py
|
shake_shake_block
|
def shake_shake_block(x, output_filters, stride, hparams):
"""Builds a full shake-shake sub layer."""
is_training = hparams.mode == tf.estimator.ModeKeys.TRAIN
batch_size = common_layers.shape_list(x)[0]
# Generate random numbers for scaling the branches.
rand_forward = [
tf.random_uniform(
[batch_size, 1, 1, 1], minval=0, maxval=1, dtype=tf.float32)
for _ in range(hparams.shake_shake_num_branches)
]
rand_backward = [
tf.random_uniform(
[batch_size, 1, 1, 1], minval=0, maxval=1, dtype=tf.float32)
for _ in range(hparams.shake_shake_num_branches)
]
# Normalize so that all sum to 1.
total_forward = tf.add_n(rand_forward)
total_backward = tf.add_n(rand_backward)
rand_forward = [samp / total_forward for samp in rand_forward]
rand_backward = [samp / total_backward for samp in rand_backward]
zipped_rand = zip(rand_forward, rand_backward)
branches = []
for branch, (r_forward, r_backward) in enumerate(zipped_rand):
with tf.variable_scope("branch_{}".format(branch)):
b = shake_shake_branch(x, output_filters, stride, r_forward, r_backward,
hparams)
b = tf.nn.dropout(b, 1.0 - hparams.layer_prepostprocess_dropout)
branches.append(b)
res = shake_shake_skip_connection(x, output_filters, stride, is_training)
if hparams.shake_shake_concat:
concat_values = [res] + branches
concat_output = tf.concat(values=concat_values, axis=-1)
concat_output = tf.nn.relu(concat_output)
concat_output = tf.layers.conv2d(
concat_output, output_filters, (1, 1), name="concat_1x1")
concat_output = tf.layers.batch_normalization(
concat_output, training=is_training, name="concat_bn")
return concat_output
else:
return res + tf.add_n(branches)
|
python
|
def shake_shake_block(x, output_filters, stride, hparams):
"""Builds a full shake-shake sub layer."""
is_training = hparams.mode == tf.estimator.ModeKeys.TRAIN
batch_size = common_layers.shape_list(x)[0]
# Generate random numbers for scaling the branches.
rand_forward = [
tf.random_uniform(
[batch_size, 1, 1, 1], minval=0, maxval=1, dtype=tf.float32)
for _ in range(hparams.shake_shake_num_branches)
]
rand_backward = [
tf.random_uniform(
[batch_size, 1, 1, 1], minval=0, maxval=1, dtype=tf.float32)
for _ in range(hparams.shake_shake_num_branches)
]
# Normalize so that all sum to 1.
total_forward = tf.add_n(rand_forward)
total_backward = tf.add_n(rand_backward)
rand_forward = [samp / total_forward for samp in rand_forward]
rand_backward = [samp / total_backward for samp in rand_backward]
zipped_rand = zip(rand_forward, rand_backward)
branches = []
for branch, (r_forward, r_backward) in enumerate(zipped_rand):
with tf.variable_scope("branch_{}".format(branch)):
b = shake_shake_branch(x, output_filters, stride, r_forward, r_backward,
hparams)
b = tf.nn.dropout(b, 1.0 - hparams.layer_prepostprocess_dropout)
branches.append(b)
res = shake_shake_skip_connection(x, output_filters, stride, is_training)
if hparams.shake_shake_concat:
concat_values = [res] + branches
concat_output = tf.concat(values=concat_values, axis=-1)
concat_output = tf.nn.relu(concat_output)
concat_output = tf.layers.conv2d(
concat_output, output_filters, (1, 1), name="concat_1x1")
concat_output = tf.layers.batch_normalization(
concat_output, training=is_training, name="concat_bn")
return concat_output
else:
return res + tf.add_n(branches)
|
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] |
Builds a full shake-shake sub layer.
|
[
"Builds",
"a",
"full",
"shake",
"-",
"shake",
"sub",
"layer",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/shake_shake.py#L78-L119
|
train
|
Builds a full shake - shake - shake sub layer.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1101 + 0o45) + '\x34' + chr(0b1001 + 0o50), 0b1000), ehT0Px3KOsy9(chr(793 - 745) + chr(0b1101111) + '\x33' + chr(55) + '\x34', 0o10), ehT0Px3KOsy9(chr(864 - 816) + chr(0b1101111) + chr(0b1 + 0o62) + chr(1178 - 1125) + chr(0b11111 + 0o24), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + '\063' + '\067' + '\066', 0o10), ehT0Px3KOsy9(chr(161 - 113) + chr(5906 - 5795) + chr(51) + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(496 - 447) + chr(587 - 535) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10100 + 0o36) + chr(0b110110) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\x34' + '\x32', 24268 - 24260), ehT0Px3KOsy9(chr(786 - 738) + '\157' + chr(0b101001 + 0o13) + '\x33', 16574 - 16566), ehT0Px3KOsy9('\060' + chr(0b1110 + 0o141) + chr(0b11011 + 0o30) + chr(0b100001 + 0o26) + chr(0b100110 + 0o21), 0o10), ehT0Px3KOsy9(chr(1527 - 1479) + chr(1292 - 1181) + chr(0b110011) + '\066' + chr(0b100011 + 0o16), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111101 + 0o62) + '\065' + '\062', 60078 - 60070), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\062' + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b10010 + 0o37) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\x31' + chr(1991 - 1943), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(0b110011) + '\061' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(687 - 576) + chr(0b100001 + 0o23) + chr(50), 46427 - 46419), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(1764 - 1709) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(415 - 367) + '\157' + chr(50) + chr(0b110101) + chr(165 - 116), ord("\x08")), ehT0Px3KOsy9(chr(334 - 286) + chr(0b1000111 + 0o50) + '\063' + chr(54), 36513 - 36505), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(0b110000) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10101 + 0o132) + chr(55) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(50) + chr(2108 - 2060), 50856 - 50848), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\063' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1111 + 0o140) + '\x36' + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(253 - 142) + '\x32' + chr(0b110010) + chr(0b101010 + 0o12), 22267 - 22259), ehT0Px3KOsy9(chr(48) + chr(8689 - 8578) + chr(51) + chr(0b101 + 0o54) + '\062', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(102 - 48) + '\060', 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(1921 - 1810) + chr(1450 - 1401) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001000 + 0o47) + chr(51) + chr(0b0 + 0o60) + chr(49), 24704 - 24696), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(53) + chr(779 - 726), 49902 - 49894), ehT0Px3KOsy9(chr(0b110000) + chr(0b111000 + 0o67) + chr(50) + chr(48) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + chr(0b110000 + 0o1) + chr(0b110001) + '\x36', 8250 - 8242), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + chr(0b100000 + 0o21) + chr(0b1100 + 0o46) + chr(0b101000 + 0o15), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8930 - 8819) + chr(0b110011) + chr(0b100011 + 0o15) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(0b11100 + 0o26) + '\x31' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1010 + 0o145) + '\064' + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(0b101100 + 0o4), 8), ehT0Px3KOsy9('\060' + chr(0b1100101 + 0o12) + chr(1108 - 1058) + chr(54) + chr(2403 - 2349), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + '\x30' + '\x34', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1100001 + 0o16) + chr(53) + chr(0b10001 + 0o37), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f'), '\x64' + '\145' + '\x63' + chr(0b10011 + 0o134) + chr(0b1100011 + 0o1) + '\x65')(chr(0b1001001 + 0o54) + '\164' + chr(102) + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def pKvtIovkMSht(OeWW0F1dBPRQ, A3v6xokHa0UA, VKQ5wcD30goF, n4ljua2gi1Pr):
XQJVi3cQFN5l = n4ljua2gi1Pr.mode == IDJ2eXGCBCDu.estimator.ModeKeys.TRAIN
ix9dZyeAmUxY = jSKPaHwSAfVv.shape_list(OeWW0F1dBPRQ)[ehT0Px3KOsy9(chr(2109 - 2061) + '\x6f' + '\060', 26320 - 26312)]
_vD_brerMo9B = [IDJ2eXGCBCDu.random_uniform([ix9dZyeAmUxY, ehT0Px3KOsy9(chr(1449 - 1401) + chr(111) + '\x31', 23615 - 23607), ehT0Px3KOsy9(chr(1957 - 1909) + '\x6f' + chr(0b100111 + 0o12), 8), ehT0Px3KOsy9('\060' + '\157' + '\x31', 8)], minval=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1401 - 1353), 8), maxval=ehT0Px3KOsy9(chr(685 - 637) + '\x6f' + chr(0b10100 + 0o35), 8), dtype=IDJ2eXGCBCDu.float32) for VNGQdHSFPrso in vQr8gNKaIaWE(n4ljua2gi1Pr.shake_shake_num_branches)]
TSebe7eu7QPA = [IDJ2eXGCBCDu.random_uniform([ix9dZyeAmUxY, ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31', 8), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(49), 8)], minval=ehT0Px3KOsy9(chr(1374 - 1326) + '\157' + chr(679 - 631), 8), maxval=ehT0Px3KOsy9('\060' + chr(111) + chr(49), 8), dtype=IDJ2eXGCBCDu.float32) for VNGQdHSFPrso in vQr8gNKaIaWE(n4ljua2gi1Pr.shake_shake_num_branches)]
FHgDKNUo3TMA = IDJ2eXGCBCDu.add_n(_vD_brerMo9B)
evaTz05yIpAx = IDJ2eXGCBCDu.add_n(TSebe7eu7QPA)
_vD_brerMo9B = [EipTCSK4LtNW / FHgDKNUo3TMA for EipTCSK4LtNW in _vD_brerMo9B]
TSebe7eu7QPA = [EipTCSK4LtNW / evaTz05yIpAx for EipTCSK4LtNW in TSebe7eu7QPA]
GhydOhXFIyvT = pZ0NK2y6HRbn(_vD_brerMo9B, TSebe7eu7QPA)
zE8XrwDOWji1 = []
for (I8Rvz5RBnsQd, (DxU6qbzY5531, wTQLO1fvaViM)) in YlkZvXL8qwsX(GhydOhXFIyvT):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7\x9d\x99\x97x\x07\xd9\xc7|\x8c\x92E\xe0\xaa'), '\144' + chr(527 - 426) + '\143' + '\x6f' + chr(8024 - 7924) + chr(101))(chr(117) + chr(0b1110100) + chr(6229 - 6127) + '\x2d' + chr(56)))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3\x8e\x8a\x90z\r\xea\xd9^'), chr(3247 - 3147) + chr(101) + chr(99) + chr(111) + chr(0b111110 + 0o46) + chr(1284 - 1183))(chr(117) + '\164' + chr(7895 - 7793) + '\055' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\xc8\x99\x91Q\x04\xe6\x91s\x8f\x94@'), chr(100) + chr(6760 - 6659) + '\143' + '\x6f' + chr(0b10011 + 0o121) + chr(4755 - 4654))(chr(0b1110101) + chr(0b10010 + 0o142) + chr(0b10000 + 0o126) + '\x2d' + chr(484 - 428)))(I8Rvz5RBnsQd)):
wmN3dvez4qzC = FhGTTttTBYNZ(OeWW0F1dBPRQ, A3v6xokHa0UA, VKQ5wcD30goF, DxU6qbzY5531, wTQLO1fvaViM, n4ljua2gi1Pr)
wmN3dvez4qzC = IDJ2eXGCBCDu.nn.ag0mwEgWzjYv(wmN3dvez4qzC, 1.0 - n4ljua2gi1Pr.RW_xSzp18UeS)
xafqLlk3kkUe(zE8XrwDOWji1, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\x8c\x9b\x9bw\x01'), chr(0b11001 + 0o113) + '\x65' + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(5966 - 5865))(chr(13652 - 13535) + chr(2022 - 1906) + chr(0b1100110 + 0o0) + chr(0b10111 + 0o26) + chr(0b111000)))(wmN3dvez4qzC)
MsbwfslwLjRO = fDXqu3two9dw(OeWW0F1dBPRQ, A3v6xokHa0UA, VKQ5wcD30goF, XQJVi3cQFN5l)
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2\x94\x8a\x95|:\xc6\xcaB\x94\x94u\xf3\xa0&\xadC\x8e'), chr(4328 - 4228) + chr(1409 - 1308) + '\143' + chr(9041 - 8930) + chr(100) + chr(0b1100101))(chr(117) + '\164' + chr(102) + '\055' + chr(0b1101 + 0o53))):
aK6muInf0uV7 = [MsbwfslwLjRO] + zE8XrwDOWji1
ccZF5hLC8x88 = IDJ2eXGCBCDu.concat(values=aK6muInf0uV7, axis=-ehT0Px3KOsy9('\060' + '\157' + chr(49), 8))
ccZF5hLC8x88 = IDJ2eXGCBCDu.nn.relu(ccZF5hLC8x88)
ccZF5hLC8x88 = IDJ2eXGCBCDu.layers.conv2d(ccZF5hLC8x88, A3v6xokHa0UA, (ehT0Px3KOsy9(chr(1660 - 1612) + chr(0b101 + 0o152) + chr(0b110001), 8), ehT0Px3KOsy9(chr(48) + chr(0b1110 + 0o141) + chr(0b100110 + 0o13), 8)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\x93\x85\x9dx\x11\xea\x93[\xce'), '\x64' + '\145' + '\x63' + chr(8771 - 8660) + chr(0b101 + 0o137) + '\145')(chr(0b1110101) + chr(6244 - 6128) + chr(5029 - 4927) + '\055' + '\070'))
ccZF5hLC8x88 = IDJ2eXGCBCDu.layers.batch_normalization(ccZF5hLC8x88, training=XQJVi3cQFN5l, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\x93\x85\x9dx\x11\xea\xc0M'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(4235 - 4124) + chr(100) + chr(0b1100101))(chr(0b11 + 0o162) + '\164' + chr(10131 - 10029) + chr(0b101101) + chr(2157 - 2101)))
return ccZF5hLC8x88
else:
return MsbwfslwLjRO + xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\x98\x8f\xa1w'), chr(100) + chr(101) + '\x63' + chr(0b1001110 + 0o41) + chr(100) + chr(0b10010 + 0o123))('\x75' + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b101000 + 0o20)))(zE8XrwDOWji1)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/shake_shake.py
|
shake_shake_layer
|
def shake_shake_layer(x, output_filters, num_blocks, stride, hparams):
"""Builds many sub layers into one full layer."""
for block_num in range(num_blocks):
curr_stride = stride if (block_num == 0) else 1
with tf.variable_scope("layer_{}".format(block_num)):
x = shake_shake_block(x, output_filters, curr_stride, hparams)
return x
|
python
|
def shake_shake_layer(x, output_filters, num_blocks, stride, hparams):
"""Builds many sub layers into one full layer."""
for block_num in range(num_blocks):
curr_stride = stride if (block_num == 0) else 1
with tf.variable_scope("layer_{}".format(block_num)):
x = shake_shake_block(x, output_filters, curr_stride, hparams)
return x
|
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"(",
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] |
Builds many sub layers into one full layer.
|
[
"Builds",
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"into",
"one",
"full",
"layer",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/shake_shake.py#L122-L128
|
train
|
Builds a full layer with num_blocks sub layers.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + '\x33' + '\x34' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b110110) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1000111 + 0o50) + chr(0b1110 + 0o43) + '\x31' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(53) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(1667 - 1614) + '\064', 41145 - 41137), ehT0Px3KOsy9(chr(2119 - 2071) + chr(0b110001 + 0o76) + chr(0b110101) + chr(134 - 80), 0o10), ehT0Px3KOsy9(chr(1249 - 1201) + chr(111) + chr(0b110010) + chr(860 - 811) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1306 - 1258) + '\157' + chr(0b11010 + 0o35) + chr(52), 34454 - 34446), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(49) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1273 - 1223) + chr(51) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1010001 + 0o36) + chr(0b110010) + chr(1159 - 1107) + chr(0b11100 + 0o32), 0o10), ehT0Px3KOsy9(chr(865 - 817) + chr(2575 - 2464) + chr(1248 - 1199) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\x36' + chr(106 - 54), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(0b1000 + 0o50) + chr(0b100111 + 0o14), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1441 - 1391) + chr(0b100111 + 0o13) + chr(118 - 70), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + '\x32' + chr(1389 - 1341) + '\063', 33408 - 33400), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\x6f' + '\063' + chr(1843 - 1791) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(354 - 306) + '\x6f' + '\066' + chr(0b10010 + 0o45), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(50) + chr(54) + chr(867 - 817), 64297 - 64289), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(53) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(51) + chr(0b1 + 0o61) + '\060', 62262 - 62254), ehT0Px3KOsy9(chr(1922 - 1874) + '\157' + chr(0b10110 + 0o34) + chr(51) + '\060', 8), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + '\x33' + chr(0b11011 + 0o25) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1535 - 1487) + '\157' + '\064' + chr(50), 0b1000), ehT0Px3KOsy9(chr(990 - 942) + chr(370 - 259) + chr(0b110011) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(1064 - 1016) + '\x6f' + chr(49) + chr(55) + chr(132 - 80), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(1067 - 1017), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(2401 - 2352) + chr(0b1110 + 0o44) + chr(0b1000 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100 + 0o57) + chr(55) + chr(2316 - 2263), 0o10), ehT0Px3KOsy9(chr(48) + chr(8605 - 8494) + chr(2260 - 2211) + chr(750 - 702) + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(0b100111 + 0o13) + chr(50) + chr(831 - 779), 29730 - 29722), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(892 - 781) + chr(0b101110 + 0o5) + '\062' + chr(0b10101 + 0o33), 8), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(0b11001 + 0o31) + '\065' + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\x32' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(1731 - 1683) + chr(0b1000101 + 0o52) + chr(0b110010) + chr(0b110001) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(845 - 797) + chr(0b1100100 + 0o13) + chr(50) + chr(1542 - 1488) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + chr(0b110011) + chr(51) + chr(720 - 665), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(48) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + '\x32' + chr(0b110101), 13809 - 13801), ehT0Px3KOsy9(chr(802 - 754) + chr(0b1011110 + 0o21) + '\062' + chr(0b11110 + 0o22), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x35' + chr(1716 - 1668), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8'), chr(6580 - 6480) + chr(0b1100101) + chr(0b100110 + 0o75) + '\x6f' + chr(5511 - 5411) + chr(2797 - 2696))(chr(0b1011010 + 0o33) + chr(0b1110100) + '\146' + '\x2d' + chr(0b101001 + 0o17)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def te6CCYKaZgRc(OeWW0F1dBPRQ, A3v6xokHa0UA, azOnMTJc4Vem, VKQ5wcD30goF, n4ljua2gi1Pr):
for KMoGKAZ8HgDt in vQr8gNKaIaWE(azOnMTJc4Vem):
sivnNGpgfXpo = VKQ5wcD30goF if KMoGKAZ8HgDt == ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x30', 61102 - 61094) else ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(3841 - 3730) + '\061', 0b1000)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x11<\x82\rL\xe2Y\x15\xeb\xc5f\x84&'), chr(100) + chr(101) + chr(0b1010110 + 0o15) + chr(0b101111 + 0o100) + '\144' + chr(101))('\165' + chr(116) + '\x66' + chr(516 - 471) + '\x38'))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\x117\x8e\x1eq\xf5A'), '\x64' + '\x65' + chr(9293 - 9194) + chr(111) + chr(5502 - 5402) + chr(101))('\x75' + chr(0b111000 + 0o74) + '\146' + chr(45) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0D<\x84$O\xdd\x0f\x1a\xe8\xc3c'), chr(3016 - 2916) + chr(101) + chr(0b1100011) + chr(0b1101111) + '\x64' + '\145')(chr(117) + '\164' + chr(4899 - 4797) + '\055' + chr(0b11000 + 0o40)))(KMoGKAZ8HgDt)):
OeWW0F1dBPRQ = pKvtIovkMSht(OeWW0F1dBPRQ, A3v6xokHa0UA, sivnNGpgfXpo, n4ljua2gi1Pr)
return OeWW0F1dBPRQ
|
tensorflow/tensor2tensor
|
tensor2tensor/models/shake_shake.py
|
shakeshake_small
|
def shakeshake_small():
"""Parameters for CIFAR-10. Gets to about 96% accuracy@700K steps, 1 GPU."""
hparams = common_hparams.basic_params1()
hparams.batch_size = 128
hparams.hidden_size = 32
hparams.layer_prepostprocess_dropout = 0.0
hparams.dropout = 0
hparams.label_smoothing = 0.0
hparams.clip_grad_norm = 0.0 # No clipping for now, one can also try 2.0.
hparams.num_hidden_layers = 26
hparams.learning_rate_decay_scheme = "cosine"
# Model should be run for 700000 steps with batch size 128 (~1800 epochs)
hparams.learning_rate_cosine_cycle_steps = 700000
hparams.learning_rate = 0.2
hparams.learning_rate_warmup_steps = 100 # That's basically unused.
hparams.initializer = "uniform_unit_scaling"
hparams.initializer_gain = 1.0
hparams.weight_decay = 1e-4
hparams.optimizer = "Momentum"
hparams.optimizer_momentum_momentum = 0.9
hparams.add_hparam("shake_shake_num_branches", 2)
hparams.add_hparam("shake_shake_concat", int(False))
return hparams
|
python
|
def shakeshake_small():
"""Parameters for CIFAR-10. Gets to about 96% accuracy@700K steps, 1 GPU."""
hparams = common_hparams.basic_params1()
hparams.batch_size = 128
hparams.hidden_size = 32
hparams.layer_prepostprocess_dropout = 0.0
hparams.dropout = 0
hparams.label_smoothing = 0.0
hparams.clip_grad_norm = 0.0 # No clipping for now, one can also try 2.0.
hparams.num_hidden_layers = 26
hparams.learning_rate_decay_scheme = "cosine"
# Model should be run for 700000 steps with batch size 128 (~1800 epochs)
hparams.learning_rate_cosine_cycle_steps = 700000
hparams.learning_rate = 0.2
hparams.learning_rate_warmup_steps = 100 # That's basically unused.
hparams.initializer = "uniform_unit_scaling"
hparams.initializer_gain = 1.0
hparams.weight_decay = 1e-4
hparams.optimizer = "Momentum"
hparams.optimizer_momentum_momentum = 0.9
hparams.add_hparam("shake_shake_num_branches", 2)
hparams.add_hparam("shake_shake_concat", int(False))
return hparams
|
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] |
Parameters for CIFAR-10. Gets to about 96% accuracy@700K steps, 1 GPU.
|
[
"Parameters",
"for",
"CIFAR",
"-",
"10",
".",
"Gets",
"to",
"about",
"96%",
"accuracy"
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/shake_shake.py#L165-L187
|
train
|
Parameters for CIFAR - 10. Gets to about 96% accuracy@700K steps 1 GPU.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\063' + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(51) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(54) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(2187 - 2076) + '\x31' + chr(55) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(8610 - 8499) + chr(0b110011) + '\064' + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(1864 - 1753) + '\063' + '\064' + chr(0b0 + 0o65), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(51) + chr(0b110000) + chr(0b10101 + 0o40), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b110000) + '\067', 23613 - 23605), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b110110 + 0o71) + chr(0b110011) + chr(0b11010 + 0o35) + '\063', 15682 - 15674), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(2084 - 1973) + chr(0b11111 + 0o23) + '\x30' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + '\x32' + chr(1144 - 1089), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b110001) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(1447 - 1399) + chr(111) + chr(0b1011 + 0o46) + chr(0b110010) + chr(0b10011 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(1853 - 1801) + '\062', 8), ehT0Px3KOsy9(chr(673 - 625) + chr(111) + '\061' + chr(0b11011 + 0o33) + chr(0b111 + 0o53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101110 + 0o1) + chr(0b110011) + '\x32' + chr(54), 49491 - 49483), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\066' + chr(0b110 + 0o57), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101100 + 0o7) + chr(0b110000) + chr(379 - 330), 0b1000), ehT0Px3KOsy9('\060' + chr(0b0 + 0o157) + '\062' + '\x32' + chr(1325 - 1273), 26091 - 26083), ehT0Px3KOsy9(chr(48) + chr(111) + chr(52) + chr(154 - 106), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000 + 0o1) + chr(49) + chr(206 - 156), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\067' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + '\063' + chr(1940 - 1891) + '\065', 36630 - 36622), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\061' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + '\x33' + chr(0b110010) + chr(307 - 256), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b100 + 0o153) + chr(0b11 + 0o60) + chr(0b110100) + chr(0b1110 + 0o43), 0b1000), ehT0Px3KOsy9('\060' + chr(4710 - 4599) + chr(0b1111 + 0o43) + chr(50) + chr(1715 - 1666), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + '\x32' + chr(0b110 + 0o56), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + chr(0b100010 + 0o21) + '\x34' + '\065', 8), ehT0Px3KOsy9(chr(941 - 893) + '\x6f' + '\x31' + '\x31' + chr(55), 32350 - 32342), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100101 + 0o14) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(55) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(313 - 263) + '\066' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(218 - 170) + chr(0b1101111) + chr(0b100011 + 0o23) + chr(0b11110 + 0o23), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(1561 - 1511) + chr(0b100101 + 0o16) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + '\061' + chr(0b1000 + 0o54) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1218 - 1167) + '\x31' + '\062', 8), ehT0Px3KOsy9('\060' + chr(9349 - 9238) + '\x31' + chr(0b101110 + 0o7), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(50) + chr(0b110101) + chr(55), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(3844 - 3733) + chr(0b110101) + chr(0b110000), 7386 - 7378)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5'), chr(3765 - 3665) + chr(101) + chr(8277 - 8178) + chr(0b1101 + 0o142) + chr(100) + '\145')(chr(0b1101001 + 0o14) + chr(116) + chr(102) + chr(0b1101 + 0o40) + chr(1984 - 1928)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def gXbN7txRrAQf():
n4ljua2gi1Pr = vLnG3ZpOXWXZ.basic_params1()
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(11294 - 11183) + chr(50) + chr(0b110000) + '\060', 0o10)
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9('\x30' + chr(741 - 630) + '\064' + chr(0b100111 + 0o11), 8)
n4ljua2gi1Pr.RW_xSzp18UeS = 0.0
n4ljua2gi1Pr.ag0mwEgWzjYv = ehT0Px3KOsy9(chr(48) + chr(741 - 630) + chr(0b0 + 0o60), 0b1000)
n4ljua2gi1Pr.FSjUgdaczzRk = 0.0
n4ljua2gi1Pr.SdNSZNVkVjLh = 0.0
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + chr(0b110011) + '\x32', ord("\x08"))
n4ljua2gi1Pr.v3ZnJE9Hdub1 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xf5\x04\x16\x8c\x80'), chr(0b1001000 + 0o34) + '\145' + chr(3523 - 3424) + chr(111) + '\144' + chr(0b1100101))(chr(9260 - 9143) + chr(0b1110100) + '\x66' + chr(1431 - 1386) + '\x38')
n4ljua2gi1Pr.Wnk8oTekUy10 = ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(1395 - 1342) + chr(205 - 155) + chr(2297 - 2242) + '\061' + chr(1577 - 1525) + chr(0b100000 + 0o20), 0b1000)
n4ljua2gi1Pr.QGSIpd_yUNzU = 0.2
n4ljua2gi1Pr.fHyhoyGmdvM9 = ehT0Px3KOsy9(chr(1559 - 1511) + '\157' + '\061' + chr(0b110100) + '\x34', 0o10)
n4ljua2gi1Pr.kwfuYzkY5C57 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xf4\x1e\x19\x8d\x97\xa8\xd8\x8e\xed~\xfb\x0c\x91\x11\xb7\x99\xa8\xfaG'), chr(0b1000101 + 0o37) + chr(0b1100101) + chr(0b10100 + 0o117) + '\157' + '\x64' + '\x65')('\165' + chr(0b1100000 + 0o24) + chr(7028 - 6926) + chr(45) + chr(0b10110 + 0o42))
n4ljua2gi1Pr.S1SbCBXLapw8 = 1.0
n4ljua2gi1Pr.eB4rJl6fUxw9 = 0.0001
n4ljua2gi1Pr.XdKNcYRObPK3 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6\xf5\x1a\x1a\x8c\x91\xb0\xea'), chr(3050 - 2950) + chr(7233 - 7132) + chr(1291 - 1192) + chr(111) + '\x64' + '\x65')(chr(0b1110101) + '\164' + chr(0b1011001 + 0o15) + chr(1356 - 1311) + chr(0b110000 + 0o10))
n4ljua2gi1Pr.SrqcOzGlNbqo = 0.9
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\xfe\x13 \x8a\x95\xa4\xf5\x9a\xee'), chr(3769 - 3669) + chr(0b1100101) + chr(717 - 618) + chr(0b1011100 + 0o23) + chr(0b1100100) + '\x65')('\x75' + chr(0b1011100 + 0o30) + chr(0b1000100 + 0o42) + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xf2\x16\x14\x87\xba\xb6\xef\x9a\xe8r\xd0=\x97\x1f\x89\x97\xb3\xf5N)\xd0\xa8\xb9'), '\x64' + '\x65' + '\143' + chr(0b10111 + 0o130) + chr(100) + '\145')(chr(117) + chr(0b1110100) + chr(0b110001 + 0o65) + chr(0b101101) + '\070'), ehT0Px3KOsy9('\x30' + chr(111) + '\062', ord("\x08")))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\xfe\x13 \x8a\x95\xa4\xf5\x9a\xee'), '\x64' + chr(4014 - 3913) + chr(6890 - 6791) + chr(3327 - 3216) + '\144' + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xf2\x16\x14\x87\xba\xb6\xef\x9a\xe8r\xd00\x8d\x1c\xb5\x94\xb5'), '\144' + '\145' + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(101))(chr(117) + '\x74' + '\x66' + '\x2d' + '\070'), ehT0Px3KOsy9(ehT0Px3KOsy9('\060' + '\157' + '\060', 8)))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics_hook.py
|
has_metric_plateaued
|
def has_metric_plateaued(steps, values, num_steps=100, delta=0.1,
decrease=True):
"""Check if metric has plateaued.
A metric has plateaued if the value has not increased/decreased (depending on
`decrease`) by `delta` for at least `num_steps`.
Args:
steps: list<int> list of global steps for values.
values: list<float> list of metric values.
num_steps: int, number of steps the metric has to have been plateaued for.
delta: float, how much the metric should have changed by over num_steps.
decrease: bool, whether to check if the metric has decreased by delta or
increased by delta.
Returns:
bool, whether the metric has plateaued.
"""
assert num_steps > 0
if len(steps) < 2:
return False
steps_at_least_num_steps_ago = [
s for s in steps if s <= (steps[-1] - num_steps)
]
if not steps_at_least_num_steps_ago:
# Not enough steps yet
return False
delta_step_idx = len(steps_at_least_num_steps_ago) - 1
start_val = values[delta_step_idx]
values_to_check = values[delta_step_idx:]
observed_deltas = []
for val in values_to_check:
if decrease:
observed_delta = start_val - val
else:
observed_delta = val - start_val
observed_deltas.append(observed_delta)
within_range = [obs < delta for obs in observed_deltas]
return all(within_range)
|
python
|
def has_metric_plateaued(steps, values, num_steps=100, delta=0.1,
decrease=True):
"""Check if metric has plateaued.
A metric has plateaued if the value has not increased/decreased (depending on
`decrease`) by `delta` for at least `num_steps`.
Args:
steps: list<int> list of global steps for values.
values: list<float> list of metric values.
num_steps: int, number of steps the metric has to have been plateaued for.
delta: float, how much the metric should have changed by over num_steps.
decrease: bool, whether to check if the metric has decreased by delta or
increased by delta.
Returns:
bool, whether the metric has plateaued.
"""
assert num_steps > 0
if len(steps) < 2:
return False
steps_at_least_num_steps_ago = [
s for s in steps if s <= (steps[-1] - num_steps)
]
if not steps_at_least_num_steps_ago:
# Not enough steps yet
return False
delta_step_idx = len(steps_at_least_num_steps_ago) - 1
start_val = values[delta_step_idx]
values_to_check = values[delta_step_idx:]
observed_deltas = []
for val in values_to_check:
if decrease:
observed_delta = start_val - val
else:
observed_delta = val - start_val
observed_deltas.append(observed_delta)
within_range = [obs < delta for obs in observed_deltas]
return all(within_range)
|
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")"
] |
Check if metric has plateaued.
A metric has plateaued if the value has not increased/decreased (depending on
`decrease`) by `delta` for at least `num_steps`.
Args:
steps: list<int> list of global steps for values.
values: list<float> list of metric values.
num_steps: int, number of steps the metric has to have been plateaued for.
delta: float, how much the metric should have changed by over num_steps.
decrease: bool, whether to check if the metric has decreased by delta or
increased by delta.
Returns:
bool, whether the metric has plateaued.
|
[
"Check",
"if",
"metric",
"has",
"plateaued",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics_hook.py#L249-L290
|
train
|
Checks if a metric has plateaued.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b110101) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(2085 - 2037) + '\x6f' + chr(0b110110) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(6227 - 6116) + chr(0b11000 + 0o33) + chr(0b0 + 0o63) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101000 + 0o11) + chr(2924 - 2869) + '\x32', 25677 - 25669), ehT0Px3KOsy9(chr(1503 - 1455) + '\x6f' + chr(0b110111) + '\065', 0o10), ehT0Px3KOsy9(chr(1064 - 1016) + chr(0b1101111) + chr(611 - 562) + chr(143 - 93), 12091 - 12083), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(0b110001) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110001 + 0o76) + chr(0b101110 + 0o3) + '\x33' + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110 + 0o54) + chr(53) + chr(0b100010 + 0o16), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1145 - 1094) + chr(818 - 768) + chr(0b110010), 29517 - 29509), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101101 + 0o11) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(689 - 639) + chr(50) + chr(2262 - 2213), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b110101) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(7317 - 7206) + chr(0b100110 + 0o15) + chr(1354 - 1306) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\063' + '\x37', 0b1000), ehT0Px3KOsy9(chr(1798 - 1750) + '\157' + chr(347 - 297) + chr(52) + chr(0b0 + 0o63), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(1626 - 1571) + chr(0b110 + 0o56), 48902 - 48894), ehT0Px3KOsy9('\060' + '\x6f' + chr(1084 - 1034) + chr(52) + chr(0b10011 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11 + 0o60) + chr(52) + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(0b1000111 + 0o50) + chr(51) + chr(0b110000) + chr(0b100110 + 0o13), 8), ehT0Px3KOsy9(chr(1952 - 1904) + '\157' + chr(1593 - 1542) + chr(0b110010) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2180 - 2130) + chr(50) + '\x34', 30621 - 30613), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100110 + 0o13) + chr(2085 - 2032) + chr(647 - 598), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1011 + 0o47) + chr(53) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(0b101 + 0o56) + '\064' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101000 + 0o107) + '\x33' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + chr(1814 - 1765) + '\x31' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + '\063' + '\x37', 0o10), ehT0Px3KOsy9(chr(1830 - 1782) + chr(3826 - 3715) + chr(0b110010) + chr(48) + chr(1703 - 1650), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(802 - 752) + chr(782 - 734) + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110111) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(0b111101 + 0o62) + chr(0b110001) + chr(55) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + '\x33' + chr(50) + '\x32', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(102 - 53) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(759 - 711) + '\157' + chr(0b110011 + 0o0) + chr(0b11 + 0o57) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(864 - 816) + '\x6f' + '\061' + chr(433 - 383) + chr(0b11111 + 0o26), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(8119 - 8008) + chr(0b110011) + chr(0b110100) + chr(0b110101), 45215 - 45207), ehT0Px3KOsy9(chr(48) + chr(111) + chr(55) + '\x30', 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\065' + chr(1985 - 1937), 13175 - 13167)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'B'), '\x64' + '\145' + chr(99) + chr(7054 - 6943) + chr(0b11001 + 0o113) + chr(0b11000 + 0o115))(chr(7204 - 7087) + chr(5155 - 5039) + chr(2283 - 2181) + '\x2d' + chr(0b11101 + 0o33)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def xNXLePPfz6PG(v0VhEmlMsO_l, SPnCNu54H1db, UQsgPnJC3jY0=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + '\x34' + chr(1652 - 1600), 0b1000), cWaXceDbkqGZ=0.1, EVwoOCiyg_Mz=ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + chr(49), 0o10)):
assert UQsgPnJC3jY0 > ehT0Px3KOsy9(chr(48) + chr(111) + '\060', 8276 - 8268)
if c2A0yzQpDQB3(v0VhEmlMsO_l) < ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50), 0b1000):
return ehT0Px3KOsy9(chr(48) + chr(0b110 + 0o151) + chr(48), 8)
Jo01rqQOu1gb = [vGrByMSYMp9h for vGrByMSYMp9h in v0VhEmlMsO_l if vGrByMSYMp9h <= v0VhEmlMsO_l[-ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001), 8)] - UQsgPnJC3jY0]
if not Jo01rqQOu1gb:
return ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + '\060', 8)
lORKBuvmSyG6 = c2A0yzQpDQB3(Jo01rqQOu1gb) - ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + chr(49), 8)
tpr8RzRtmj5E = SPnCNu54H1db[lORKBuvmSyG6]
rjDbqqj_V2WP = SPnCNu54H1db[lORKBuvmSyG6:]
fhk2V3PIzmBp = []
for pQxH2D_k9sXQ in rjDbqqj_V2WP:
if EVwoOCiyg_Mz:
bJtr5e40bTuC = tpr8RzRtmj5E - pQxH2D_k9sXQ
else:
bJtr5e40bTuC = pQxH2D_k9sXQ - tpr8RzRtmj5E
xafqLlk3kkUe(fhk2V3PIzmBp, xafqLlk3kkUe(SXOLrMavuUCe(b'\rB\xac\x1fSn'), '\144' + chr(0b1100000 + 0o5) + '\x63' + '\157' + chr(100) + chr(0b1100101))('\165' + chr(0b110000 + 0o104) + chr(0b1100110) + chr(0b101101) + chr(980 - 924)))(bJtr5e40bTuC)
vW0VdE1H3u1t = [HUAx0lWcwxPP < cWaXceDbkqGZ for HUAx0lWcwxPP in fhk2V3PIzmBp]
return Dl48nj1rbi23(vW0VdE1H3u1t)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/savp_params.py
|
next_frame_savp
|
def next_frame_savp():
"""SAVP model hparams."""
hparams = sv2p_params.next_frame_sv2p()
hparams.add_hparam("z_dim", 8)
hparams.add_hparam("num_discriminator_filters", 32)
hparams.add_hparam("use_vae", True)
hparams.add_hparam("use_gan", False)
hparams.add_hparam("use_spectral_norm", True)
hparams.add_hparam("gan_loss", "cross_entropy")
hparams.add_hparam("gan_loss_multiplier", 0.01)
hparams.add_hparam("gan_vae_loss_multiplier", 0.01)
hparams.add_hparam("gan_optimization", "joint")
hparams.bottom = {
"inputs": modalities.video_raw_bottom,
"targets": modalities.video_raw_targets_bottom,
}
hparams.loss = {
"targets": modalities.video_l1_raw_loss,
}
hparams.top = {
"targets": modalities.video_raw_top,
}
hparams.latent_loss_multiplier_schedule = "linear"
hparams.upsample_method = "bilinear_upsample_conv"
hparams.internal_loss = False
hparams.reward_prediction = False
hparams.anneal_end = 100000
hparams.num_iterations_1st_stage = 0
hparams.num_iterations_2nd_stage = 50000
return hparams
|
python
|
def next_frame_savp():
"""SAVP model hparams."""
hparams = sv2p_params.next_frame_sv2p()
hparams.add_hparam("z_dim", 8)
hparams.add_hparam("num_discriminator_filters", 32)
hparams.add_hparam("use_vae", True)
hparams.add_hparam("use_gan", False)
hparams.add_hparam("use_spectral_norm", True)
hparams.add_hparam("gan_loss", "cross_entropy")
hparams.add_hparam("gan_loss_multiplier", 0.01)
hparams.add_hparam("gan_vae_loss_multiplier", 0.01)
hparams.add_hparam("gan_optimization", "joint")
hparams.bottom = {
"inputs": modalities.video_raw_bottom,
"targets": modalities.video_raw_targets_bottom,
}
hparams.loss = {
"targets": modalities.video_l1_raw_loss,
}
hparams.top = {
"targets": modalities.video_raw_top,
}
hparams.latent_loss_multiplier_schedule = "linear"
hparams.upsample_method = "bilinear_upsample_conv"
hparams.internal_loss = False
hparams.reward_prediction = False
hparams.anneal_end = 100000
hparams.num_iterations_1st_stage = 0
hparams.num_iterations_2nd_stage = 50000
return hparams
|
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"\"linear\"",
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".",
"upsample_method",
"=",
"\"bilinear_upsample_conv\"",
"hparams",
".",
"internal_loss",
"=",
"False",
"hparams",
".",
"reward_prediction",
"=",
"False",
"hparams",
".",
"anneal_end",
"=",
"100000",
"hparams",
".",
"num_iterations_1st_stage",
"=",
"0",
"hparams",
".",
"num_iterations_2nd_stage",
"=",
"50000",
"return",
"hparams"
] |
SAVP model hparams.
|
[
"SAVP",
"model",
"hparams",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/savp_params.py#L27-L56
|
train
|
SAVP model hparams.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b111110 + 0o61) + '\x32' + chr(810 - 755) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(6765 - 6654) + chr(55) + chr(48), 255 - 247), ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + chr(51) + chr(2017 - 1965) + '\067', 0o10), ehT0Px3KOsy9(chr(2231 - 2183) + chr(0b1101111) + chr(50) + chr(0b11011 + 0o27) + chr(1269 - 1221), 42488 - 42480), ehT0Px3KOsy9(chr(1382 - 1334) + '\x6f' + '\x33' + '\065' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + '\x31' + chr(960 - 909) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11100 + 0o31) + chr(52), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(0b110101) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10001 + 0o136) + '\x32' + chr(0b110110) + chr(2847 - 2792), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(0b110001) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1001 + 0o146) + chr(0b10010 + 0o40) + chr(410 - 357), 33008 - 33000), ehT0Px3KOsy9('\x30' + chr(10679 - 10568) + chr(0b110010) + '\063' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + '\x30' + chr(699 - 650), 0o10), ehT0Px3KOsy9(chr(1373 - 1325) + '\x6f' + chr(0b110011) + chr(0b110101) + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(2268 - 2216) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(804 - 756) + chr(111) + '\x31' + '\x34' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3820 - 3709) + chr(51) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(1713 - 1665) + chr(3391 - 3280) + chr(0b11110 + 0o23) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x34' + '\063', 2690 - 2682), ehT0Px3KOsy9(chr(48) + '\157' + chr(1864 - 1815) + '\063' + chr(1093 - 1043), 0o10), ehT0Px3KOsy9(chr(825 - 777) + '\157' + chr(0b110001) + chr(0b10010 + 0o42) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100 + 0o143) + chr(50) + chr(0b100010 + 0o24) + '\x31', 61202 - 61194), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1110 + 0o141) + '\061' + chr(0b11101 + 0o24) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + '\060' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1 + 0o61) + '\066' + '\x31', 8), ehT0Px3KOsy9('\x30' + chr(2049 - 1938) + chr(0b11111 + 0o23) + chr(0b1001 + 0o55) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1798 - 1748) + '\x37' + chr(0b100000 + 0o25), 23802 - 23794), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(255 - 204) + '\060' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + chr(376 - 326) + chr(48) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(0b101111 + 0o100) + chr(2330 - 2278) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\x6f' + chr(49) + chr(0b1010 + 0o46) + '\x35', 40384 - 40376), ehT0Px3KOsy9(chr(0b110000) + chr(0b100001 + 0o116) + chr(333 - 284) + chr(0b110010) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b100111 + 0o110) + chr(1041 - 991) + '\065' + chr(0b101101 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1110 + 0o141) + '\x33' + chr(0b110010) + '\x33', 46023 - 46015), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(1240 - 1191) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b101100 + 0o103) + '\x32' + '\x31' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010111 + 0o30) + '\061' + '\x37' + '\x32', 25648 - 25640), ehT0Px3KOsy9(chr(2071 - 2023) + chr(111) + '\061' + chr(53) + chr(2172 - 2121), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(111) + chr(0b100101 + 0o16) + chr(1399 - 1346) + chr(0b110111), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(680 - 632) + '\x6f' + chr(0b10110 + 0o37) + chr(0b100011 + 0o15), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x92'), chr(100) + '\145' + '\x63' + chr(111) + chr(0b1100100) + chr(101))(chr(10017 - 9900) + chr(0b1110100) + chr(843 - 741) + chr(0b11000 + 0o25) + chr(2717 - 2661)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def kSeV3luHzf8p():
n4ljua2gi1Pr = Jz7IrSV0twHL.next_frame_sv2p()
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\\\x83\xcf\x80/M\x1f\xd6\xe2'), chr(100) + chr(0b1100101) + chr(99) + '\x6f' + '\x64' + '\145')(chr(921 - 804) + '\x74' + chr(8094 - 7992) + chr(0b1011 + 0o42) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6g\x83\xf9\x85'), chr(4086 - 3986) + chr(0b111001 + 0o54) + chr(6920 - 6821) + '\157' + chr(100) + '\145')(chr(117) + chr(116) + '\x66' + chr(1418 - 1373) + chr(0b111000)), ehT0Px3KOsy9('\x30' + chr(111) + chr(1433 - 1384) + '\060', 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\\\x83\xcf\x80/M\x1f\xd6\xe2'), chr(100) + chr(3494 - 3393) + chr(9648 - 9549) + '\157' + chr(1573 - 1473) + chr(101))(chr(13354 - 13237) + chr(0b1110001 + 0o3) + chr(0b1100110) + '\055' + chr(0b110011 + 0o5)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2M\x8a\xcf\x8c6_\x0e\xc5\xe6x\xf0\xef\x8eqH\x16EnJ6\x15\xd4:\xb3'), '\144' + chr(0b1100101) + chr(1948 - 1849) + chr(5539 - 5428) + chr(9986 - 9886) + chr(0b1100101))(chr(11965 - 11848) + chr(0b1100100 + 0o20) + chr(0b1011100 + 0o12) + '\055' + chr(0b111000)), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(224 - 172) + chr(48), 64169 - 64161))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\\\x83\xcf\x80/M\x1f\xd6\xe2'), chr(4930 - 4830) + '\x65' + chr(6377 - 6278) + chr(0b110001 + 0o76) + '\144' + '\x65')('\x75' + chr(0b1110100) + chr(102) + '\055' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9K\x82\xcf\x9e>I'), '\x64' + '\145' + chr(0b101000 + 0o73) + chr(0b1011100 + 0o23) + chr(100) + '\145')(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(45) + chr(0b101111 + 0o11)), ehT0Px3KOsy9('\060' + chr(111) + chr(428 - 379), ord("\x08")))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\\\x83\xcf\x80/M\x1f\xd6\xe2'), chr(0b1001101 + 0o27) + chr(101) + chr(0b1100011) + chr(0b110010 + 0o75) + '\144' + chr(0b111 + 0o136))('\165' + '\164' + chr(7672 - 7570) + chr(0b101101 + 0o0) + chr(2957 - 2901)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9K\x82\xcf\x8f>B'), '\x64' + '\x65' + chr(0b1100011) + chr(111) + '\x64' + chr(0b101110 + 0o67))(chr(6273 - 6156) + '\x74' + chr(102) + chr(0b101101) + chr(0b101 + 0o63)), ehT0Px3KOsy9('\x30' + chr(111) + chr(48), ord("\x08")))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\\\x83\xcf\x80/M\x1f\xd6\xe2'), '\144' + chr(101) + chr(99) + chr(111) + chr(986 - 886) + chr(101))(chr(0b1011100 + 0o31) + '\x74' + chr(102) + chr(1839 - 1794) + chr(478 - 422)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9K\x82\xcf\x9b/I\x0e\xc3\xfdt\xf5\xde\x81jU\t'), chr(0b1100100) + chr(9012 - 8911) + '\143' + chr(111) + '\144' + chr(0b1011100 + 0o11))('\x75' + chr(116) + chr(0b1100110) + chr(0b101100 + 0o1) + chr(0b110010 + 0o6)), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b100100 + 0o113) + chr(2292 - 2243), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\\\x83\xcf\x80/M\x1f\xd6\xe2'), chr(940 - 840) + '\x65' + '\x63' + chr(0b110 + 0o151) + '\144' + '\145')(chr(11031 - 10914) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xdbY\x89\xcf\x840_\x1e'), chr(0b111110 + 0o46) + '\x65' + chr(6154 - 6055) + chr(111) + chr(6342 - 6242) + chr(101))(chr(0b100001 + 0o124) + '\x74' + chr(0b101000 + 0o76) + '\055' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xdfJ\x88\xe3\x9b\x00I\x03\xc3\xfdz\xe9\xf8'), chr(0b1100100) + chr(0b1010001 + 0o24) + chr(0b1100011) + chr(0b1100000 + 0o17) + '\x64' + chr(0b1100101))(chr(0b1101000 + 0o15) + chr(116) + '\146' + '\055' + '\070'))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\\\x83\xcf\x80/M\x1f\xd6\xe2'), chr(100) + chr(7696 - 7595) + '\x63' + '\157' + chr(100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(5374 - 5272) + '\055' + chr(0b11000 + 0o40)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xdbY\x89\xcf\x840_\x1e\xe8\xe2`\xf5\xf5\x86uK\r\x7fz'), chr(0b1100100 + 0o0) + chr(101) + chr(0b1100011) + chr(0b1100000 + 0o17) + chr(100) + chr(0b1100101))(chr(117) + chr(0b1011111 + 0o25) + chr(0b1100110) + chr(1234 - 1189) + chr(1342 - 1286)), 0.01)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\\\x83\xcf\x80/M\x1f\xd6\xe2'), chr(100) + chr(0b111110 + 0o47) + '\x63' + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(3898 - 3796) + chr(1476 - 1431) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xdbY\x89\xcf\x9e>I2\xdb\xe0f\xea\xde\x82pK\x10sxO3\x04\xc3'), chr(0b1000011 + 0o41) + chr(0b1001000 + 0o35) + '\x63' + chr(111) + '\144' + '\145')(chr(12834 - 12717) + chr(0b1110100) + chr(7046 - 6944) + '\x2d' + chr(0b111000)), 0.01)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\\\x83\xcf\x80/M\x1f\xd6\xe2'), chr(0b110000 + 0o64) + chr(695 - 594) + chr(0b1100011) + '\157' + '\x64' + '\145')(chr(0b1110101) + chr(13057 - 12941) + '\x66' + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xdbY\x89\xcf\x87/X\x04\xda\xe6o\xf8\xf5\x86jI'), chr(9922 - 9822) + chr(0b1100000 + 0o5) + chr(0b1100011) + '\157' + chr(0b1100100) + '\x65')('\x75' + chr(0b1110100) + chr(0b1000010 + 0o44) + '\055' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6W\x8e\xfe\x9c'), '\x64' + chr(10162 - 10061) + chr(0b10000 + 0o123) + chr(0b1101111) + '\x64' + chr(101))('\x75' + '\164' + '\x66' + '\055' + chr(0b111000)))
n4ljua2gi1Pr.kXxsZxlIQUSQ = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5V\x97\xe5\x9c,'), '\144' + '\145' + '\x63' + chr(0b1101111) + '\144' + '\145')(chr(117) + chr(0b1110100) + chr(9532 - 9430) + chr(0b110 + 0o47) + '\070'): PuPeNl0CuqOQ.video_raw_bottom, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8Y\x95\xf7\x8d+_'), chr(0b101001 + 0o73) + '\x65' + chr(0b101110 + 0o65) + chr(10560 - 10449) + chr(0b1101 + 0o127) + chr(5822 - 5721))(chr(1821 - 1704) + chr(116) + chr(8475 - 8373) + chr(0b101101) + '\070'): PuPeNl0CuqOQ.video_raw_targets_bottom}
n4ljua2gi1Pr.YpO0BcZ6fMsf = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8Y\x95\xf7\x8d+_'), '\144' + '\x65' + chr(0b11 + 0o140) + chr(111) + '\144' + '\x65')('\165' + '\164' + '\x66' + chr(1055 - 1010) + chr(535 - 479)): PuPeNl0CuqOQ.video_l1_raw_loss}
n4ljua2gi1Pr.qxrVBjeryNEZ = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8Y\x95\xf7\x8d+_'), chr(100) + chr(7967 - 7866) + chr(0b1100010 + 0o1) + chr(10421 - 10310) + chr(0b1100100) + chr(101))('\x75' + chr(0b100110 + 0o116) + '\x66' + '\x2d' + '\x38'): PuPeNl0CuqOQ.video_raw_top}
n4ljua2gi1Pr.MQbixC4iR5r4 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0Q\x89\xf5\x89-'), chr(0b111010 + 0o52) + '\145' + chr(1812 - 1713) + chr(111) + '\x64' + chr(0b1100101))('\x75' + '\x74' + chr(0b1100110) + '\x2d' + '\070')
n4ljua2gi1Pr.lOtrRGsiRHJF = xafqLlk3kkUe(SXOLrMavuUCe(b'\xdeQ\x8b\xf9\x86:M\x1f\xe8\xfae\xea\xe0\x82uK\x01EkL4\x17'), '\144' + '\145' + '\x63' + chr(111) + '\x64' + '\145')(chr(0b11001 + 0o134) + chr(116) + chr(5722 - 5620) + chr(0b101101) + '\x38')
n4ljua2gi1Pr.lNlr4CIseK2q = ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + '\x30', 8)
n4ljua2gi1Pr.cZj9Gx_3biG9 = ehT0Px3KOsy9('\060' + chr(111) + chr(0b110000), 8)
n4ljua2gi1Pr.LVO61cwcBk9E = ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b110000) + chr(51) + '\062' + chr(0b110100) + '\x30', 0o10)
n4ljua2gi1Pr.iY_4zqKBVzZD = ehT0Px3KOsy9('\x30' + '\x6f' + '\x30', 8)
n4ljua2gi1Pr.m_GDJNzMRp6_ = ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\x34' + chr(49) + '\065' + chr(0b0 + 0o62) + chr(0b11001 + 0o27), 0b1000)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/savp_params.py
|
next_frame_savp_vae
|
def next_frame_savp_vae():
"""SAVP - VAE only model."""
hparams = next_frame_savp()
hparams.use_vae = True
hparams.use_gan = False
hparams.latent_loss_multiplier = 1e-3
hparams.latent_loss_multiplier_schedule = "linear_anneal"
return hparams
|
python
|
def next_frame_savp_vae():
"""SAVP - VAE only model."""
hparams = next_frame_savp()
hparams.use_vae = True
hparams.use_gan = False
hparams.latent_loss_multiplier = 1e-3
hparams.latent_loss_multiplier_schedule = "linear_anneal"
return hparams
|
[
"def",
"next_frame_savp_vae",
"(",
")",
":",
"hparams",
"=",
"next_frame_savp",
"(",
")",
"hparams",
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"use_vae",
"=",
"True",
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"latent_loss_multiplier",
"=",
"1e-3",
"hparams",
".",
"latent_loss_multiplier_schedule",
"=",
"\"linear_anneal\"",
"return",
"hparams"
] |
SAVP - VAE only model.
|
[
"SAVP",
"-",
"VAE",
"only",
"model",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/savp_params.py#L70-L77
|
train
|
SAVP - VAE only model.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(10750 - 10639) + chr(0b10010 + 0o37) + '\x31' + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100011 + 0o17) + chr(51) + chr(827 - 774), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(0b110011) + '\x31' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2458 - 2407) + '\x32' + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(0b110000) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b1001 + 0o47) + chr(405 - 354), 0o10), ehT0Px3KOsy9('\x30' + chr(2781 - 2670) + chr(49) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110010 + 0o75) + '\063' + chr(0b110000) + '\x36', 55992 - 55984), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001101 + 0o42) + chr(0b110001) + chr(0b110000 + 0o7), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\063' + chr(0b110101 + 0o2), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\066' + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\063' + '\x34' + chr(0b110100), 15327 - 15319), ehT0Px3KOsy9(chr(2254 - 2206) + chr(3748 - 3637) + chr(0b110010) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101 + 0o56) + chr(0b110001) + '\x37', 8), ehT0Px3KOsy9(chr(698 - 650) + chr(111) + chr(51) + chr(255 - 206) + '\067', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(855 - 806) + chr(53) + chr(0b11101 + 0o30), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b110010) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(2017 - 1969) + chr(111) + chr(0b111 + 0o53) + chr(2394 - 2343) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(0b110000) + chr(0b110000 + 0o0), 19196 - 19188), ehT0Px3KOsy9(chr(48) + chr(2953 - 2842) + chr(49) + chr(0b110 + 0o52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101 + 0o152) + chr(49) + chr(53) + '\x35', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b110000) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8439 - 8328) + '\061' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1845 - 1795) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(2127 - 2076) + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(0b101001 + 0o106) + '\x31' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1010011 + 0o34) + chr(49) + chr(0b1111 + 0o45) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1001011 + 0o44) + '\062' + chr(0b110101) + chr(2006 - 1955), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\x30' + chr(50), 44160 - 44152), ehT0Px3KOsy9(chr(2190 - 2142) + chr(0b1101111) + chr(0b10011 + 0o41) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100100 + 0o13) + '\x33' + chr(2175 - 2121) + chr(0b110001), 48706 - 48698), ehT0Px3KOsy9(chr(48) + chr(0b1010011 + 0o34) + chr(1832 - 1782) + chr(0b110011) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\x36' + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100110 + 0o11) + chr(1513 - 1464) + '\061' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(1407 - 1359) + chr(0b1100 + 0o143) + '\063' + chr(0b110001) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(2139 - 2028) + chr(50) + chr(49) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11100 + 0o25) + chr(0b1010 + 0o46) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(2021 - 1973) + chr(0b1101111) + '\x33' + '\x36', 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(49) + chr(0b110100) + '\x34', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(53) + chr(0b111 + 0o51), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'b'), '\144' + '\x65' + chr(0b1001001 + 0o32) + chr(0b1101111) + chr(2714 - 2614) + chr(0b1100101))(chr(5694 - 5577) + chr(7267 - 7151) + '\x66' + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def LtaJtCcM0lgz():
n4ljua2gi1Pr = kSeV3luHzf8p()
n4ljua2gi1Pr.uImXkxKzmDxO = ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + chr(0b110001), 36484 - 36476)
n4ljua2gi1Pr.v2K0gSZ474yi = ehT0Px3KOsy9('\x30' + chr(0b111011 + 0o64) + '\x30', 0o10)
n4ljua2gi1Pr.ghYtMDjOY9WM = 0.001
n4ljua2gi1Pr.MQbixC4iR5r4 = xafqLlk3kkUe(SXOLrMavuUCe(b' \xf4\xa1\xb3\xe0\xf1P\xa7a1R\x85}'), chr(5379 - 5279) + '\145' + '\143' + chr(3731 - 3620) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b100111 + 0o115) + '\146' + '\x2d' + chr(0b111000))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/savp_params.py
|
next_frame_savp_gan
|
def next_frame_savp_gan():
"""SAVP - GAN only model."""
hparams = next_frame_savp()
hparams.use_gan = True
hparams.use_vae = False
hparams.gan_loss_multiplier = 0.001
hparams.optimizer_adam_beta1 = 0.5
hparams.learning_rate_constant = 2e-4
hparams.gan_loss = "cross_entropy"
hparams.learning_rate_decay_steps = 100000
hparams.learning_rate_schedule = "constant*linear_decay"
return hparams
|
python
|
def next_frame_savp_gan():
"""SAVP - GAN only model."""
hparams = next_frame_savp()
hparams.use_gan = True
hparams.use_vae = False
hparams.gan_loss_multiplier = 0.001
hparams.optimizer_adam_beta1 = 0.5
hparams.learning_rate_constant = 2e-4
hparams.gan_loss = "cross_entropy"
hparams.learning_rate_decay_steps = 100000
hparams.learning_rate_schedule = "constant*linear_decay"
return hparams
|
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"=",
"100000",
"hparams",
".",
"learning_rate_schedule",
"=",
"\"constant*linear_decay\"",
"return",
"hparams"
] |
SAVP - GAN only model.
|
[
"SAVP",
"-",
"GAN",
"only",
"model",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/savp_params.py#L81-L92
|
train
|
SAVP - GAN only model.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10000 + 0o45) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4016 - 3905) + chr(2346 - 2296) + '\x30' + '\061', 0o10), ehT0Px3KOsy9(chr(1056 - 1008) + chr(0b1001101 + 0o42) + chr(0b11010 + 0o35) + chr(333 - 278), 29512 - 29504), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + chr(0b110010) + chr(0b110100) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(11877 - 11766) + chr(0b110011) + chr(535 - 481) + chr(49), 48783 - 48775), ehT0Px3KOsy9(chr(48) + chr(8340 - 8229) + '\062' + chr(0b1101 + 0o51) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1011 + 0o144) + '\x32' + chr(0b110000) + chr(1137 - 1089), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(1782 - 1732) + chr(0b110111) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(1275 - 1227) + chr(6204 - 6093) + '\x32' + chr(0b110010) + chr(494 - 444), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(55) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2403 - 2352) + chr(54) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b101010 + 0o105) + '\x31' + chr(0b100010 + 0o16) + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(1175 - 1064) + '\x31' + chr(467 - 413) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1010001 + 0o36) + chr(0b110001) + '\x36' + chr(847 - 799), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(1038 - 989) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + chr(0b1111 + 0o42) + chr(319 - 271) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10000 + 0o43) + '\x36' + '\x35', 0b1000), ehT0Px3KOsy9(chr(802 - 754) + chr(111) + '\062' + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b1011 + 0o47) + chr(0b110101) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b11011 + 0o124) + chr(1581 - 1530) + chr(0b100011 + 0o15), 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(10798 - 10687) + chr(1498 - 1448) + chr(0b110001) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + chr(6771 - 6660) + chr(0b100 + 0o57) + chr(0b110001) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(11915 - 11804) + chr(0b110010) + '\063' + chr(51), 0o10), ehT0Px3KOsy9(chr(576 - 528) + chr(111) + chr(0b110101) + chr(2584 - 2529), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(2050 - 2000) + chr(48) + chr(2198 - 2149), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(1271 - 1216) + chr(0b100001 + 0o20), 0o10), ehT0Px3KOsy9('\060' + chr(4484 - 4373) + chr(0b110010) + chr(0b110100) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11101 + 0o24) + chr(0b1101 + 0o50) + '\063', 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(0b10000 + 0o42) + chr(54) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(50) + chr(0b11111 + 0o27) + chr(55), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(0b110011) + chr(1480 - 1428), 0o10), ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + '\x33' + '\060', 8), ehT0Px3KOsy9(chr(1476 - 1428) + chr(0b1011110 + 0o21) + chr(0b110000 + 0o1) + chr(0b110001) + chr(0b100111 + 0o14), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x36' + chr(653 - 602), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100110 + 0o14) + '\x31' + chr(0b101001 + 0o13), 8), ehT0Px3KOsy9(chr(1497 - 1449) + '\157' + chr(0b10010 + 0o41) + chr(0b110111) + chr(53), 44688 - 44680), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1659 - 1610) + '\064' + '\x37', 28637 - 28629), ehT0Px3KOsy9(chr(0b110000) + chr(12250 - 12139) + chr(55) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(744 - 693) + chr(1165 - 1116) + chr(1995 - 1940), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(8438 - 8327) + '\065' + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x04'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(117) + chr(0b1110100) + chr(102) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def qSWpceWC8vxI():
n4ljua2gi1Pr = kSeV3luHzf8p()
n4ljua2gi1Pr.v2K0gSZ474yi = ehT0Px3KOsy9(chr(0b110000) + chr(0b1000101 + 0o52) + chr(0b110001), 0o10)
n4ljua2gi1Pr.uImXkxKzmDxO = ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110000), 0o10)
n4ljua2gi1Pr.LfuB_QPFdRKJ = 0.001
n4ljua2gi1Pr.GcOjyd7zcDH8 = 0.5
n4ljua2gi1Pr.Ot9HUjnkxXA_ = 0.0002
n4ljua2gi1Pr.UTGcQfM6VMLD = xafqLlk3kkUe(SXOLrMavuUCe(b'I\xf3P\xd3\x82\xea\xe5\xd3\xe6\x8e\x9c7\x0e'), chr(100) + chr(0b11010 + 0o113) + chr(0b1011001 + 0o12) + '\x6f' + '\144' + chr(0b1100101))(chr(2017 - 1900) + '\164' + chr(0b111111 + 0o47) + chr(1903 - 1858) + chr(2536 - 2480))
n4ljua2gi1Pr.YBAB1XyoxOc5 = ehT0Px3KOsy9(chr(0b110000) + chr(0b110110 + 0o71) + chr(51) + chr(0b110000) + chr(1764 - 1713) + chr(389 - 339) + chr(0b10010 + 0o42) + '\x30', 4409 - 4401)
n4ljua2gi1Pr.Lz_s7neUzM5V = xafqLlk3kkUe(SXOLrMavuUCe(b'I\xeeQ\xd3\x85\xd4\xee\xc9\xb8\x90\x9a)\x12\x11<\x1e\x91u\xcay\xf5'), '\x64' + chr(8702 - 8601) + chr(0b11110 + 0o105) + chr(111) + chr(0b111001 + 0o53) + '\x65')(chr(0b1000 + 0o155) + chr(0b11110 + 0o126) + '\146' + chr(0b101101) + '\x38')
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/diet.py
|
diet_adam_optimizer_params
|
def diet_adam_optimizer_params():
"""Default hyperparameters for a DietAdamOptimizer.
Returns:
a hyperparameters object.
"""
return hparam.HParams(
quantize=True, # use 16-bit fixed-point
quantization_scale=10.0 / tf.int16.max,
optimizer="DietAdam",
learning_rate=1.0,
learning_rate_warmup_steps=2000,
learning_rate_decay_scheme="noam", # "noam" or "none"
epsilon=1e-10,
beta1=0.0, # we can save memory if beta1=0
beta2=0.98,
factored_second_moment_accumulator=True, # this saves memory
)
|
python
|
def diet_adam_optimizer_params():
"""Default hyperparameters for a DietAdamOptimizer.
Returns:
a hyperparameters object.
"""
return hparam.HParams(
quantize=True, # use 16-bit fixed-point
quantization_scale=10.0 / tf.int16.max,
optimizer="DietAdam",
learning_rate=1.0,
learning_rate_warmup_steps=2000,
learning_rate_decay_scheme="noam", # "noam" or "none"
epsilon=1e-10,
beta1=0.0, # we can save memory if beta1=0
beta2=0.98,
factored_second_moment_accumulator=True, # this saves memory
)
|
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",",
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",",
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] |
Default hyperparameters for a DietAdamOptimizer.
Returns:
a hyperparameters object.
|
[
"Default",
"hyperparameters",
"for",
"a",
"DietAdamOptimizer",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/diet.py#L34-L51
|
train
|
Default hyperparameters for a DietAdamOptimizer.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + '\x37' + chr(2155 - 2101), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(50) + chr(1436 - 1387) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(390 - 340) + chr(1199 - 1151) + '\064', 50400 - 50392), ehT0Px3KOsy9(chr(0b110000) + chr(0b10100 + 0o133) + chr(0b110010) + chr(53) + chr(0b1000 + 0o50), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(6744 - 6633) + chr(0b110011) + chr(1850 - 1795) + '\060', 33334 - 33326), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + '\066' + chr(52), 35691 - 35683), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + '\061', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(96 - 47) + chr(1899 - 1847), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(1345 - 1296) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + '\x36' + chr(948 - 899), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\x33' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + '\x33' + chr(0b101110 + 0o3) + chr(995 - 941), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(7255 - 7144) + chr(2662 - 2607) + chr(0b110011 + 0o3), 8), ehT0Px3KOsy9(chr(1766 - 1718) + chr(0b1011100 + 0o23) + chr(54) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b111100 + 0o63) + '\062' + chr(50) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(426 - 378) + chr(7917 - 7806) + chr(2126 - 2077) + chr(1737 - 1686), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b110101 + 0o72) + chr(54) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(492 - 444) + chr(0b111000 + 0o67) + chr(49) + chr(50) + chr(52), 13618 - 13610), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1 + 0o61) + '\x30' + '\065', 33192 - 33184), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + chr(559 - 509) + '\067' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(0b11110 + 0o24) + chr(1997 - 1948), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\x37' + chr(53), 8), ehT0Px3KOsy9(chr(800 - 752) + '\x6f' + '\x31' + chr(0b110011) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110010 + 0o75) + chr(0b11001 + 0o31) + '\063' + chr(0b100011 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(726 - 678) + chr(0b1001111 + 0o40) + chr(0b100101 + 0o15) + '\066' + chr(1533 - 1485), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(828 - 717) + '\062' + '\066', 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(0b110001) + chr(173 - 125) + chr(1049 - 998), 15008 - 15000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10111 + 0o34), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b100100 + 0o16) + chr(0b101100 + 0o7), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2198 - 2087) + chr(50) + '\x32' + chr(0b11001 + 0o36), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(202 - 152) + '\060' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\x34' + '\064', 0b1000), ehT0Px3KOsy9(chr(943 - 895) + chr(0b110011 + 0o74) + chr(1848 - 1797) + chr(53) + '\061', 40219 - 40211), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(0b1100 + 0o143) + chr(0b100100 + 0o21), 5619 - 5611), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(50) + chr(50), 0b1000), ehT0Px3KOsy9(chr(910 - 862) + chr(0b1101111) + '\061' + chr(48) + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001111 + 0o40) + chr(0b110001) + chr(215 - 160) + '\x31', 56673 - 56665), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(50) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100000 + 0o17) + chr(50) + chr(0b11110 + 0o24) + chr(55), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(53) + chr(0b1111 + 0o41), 15315 - 15307)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x10'), chr(8606 - 8506) + chr(1588 - 1487) + '\143' + chr(111) + chr(100) + chr(3335 - 3234))(chr(0b1110101) + chr(0b1110100) + chr(5565 - 5463) + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Zefu9j3kftOM():
return xafqLlk3kkUe(guRGmljwUVnc, xafqLlk3kkUe(SXOLrMavuUCe(b'v\xdb\xe5\xda\x99\x19z'), '\144' + '\x65' + '\x63' + chr(0b1000110 + 0o51) + chr(2213 - 2113) + '\145')(chr(117) + chr(0b1101010 + 0o12) + chr(9676 - 9574) + chr(0b101101) + chr(56)))(quantize=ehT0Px3KOsy9('\x30' + chr(0b1010110 + 0o31) + '\x31', 20078 - 20070), quantization_scale=10.0 / xafqLlk3kkUe(IDJ2eXGCBCDu.int16, xafqLlk3kkUe(SXOLrMavuUCe(b'J\xf8\xe0\xc2\x8e\x18nd\xb6\x96\xdc\x9e'), '\144' + chr(0b1100101) + chr(99) + chr(2016 - 1905) + '\x64' + '\145')(chr(117) + chr(4684 - 4568) + chr(102) + chr(0b11110 + 0o17) + '\070')), optimizer=xafqLlk3kkUe(SXOLrMavuUCe(b'z\xe2\xe1\xdc\xb9\x10ha'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(100) + chr(101))(chr(0b1110101) + '\x74' + chr(102) + chr(0b101101) + chr(0b111000)), learning_rate=1.0, learning_rate_warmup_steps=ehT0Px3KOsy9('\x30' + chr(111) + chr(1618 - 1567) + chr(0b100000 + 0o27) + chr(0b11011 + 0o27) + chr(48), 0b1000), learning_rate_decay_scheme=xafqLlk3kkUe(SXOLrMavuUCe(b'P\xe4\xe5\xc5'), chr(3667 - 3567) + chr(0b1100101) + '\x63' + '\x6f' + '\x64' + chr(0b10 + 0o143))(chr(6596 - 6479) + chr(0b1001011 + 0o51) + chr(102) + '\055' + chr(0b11101 + 0o33)), epsilon=1e-10, beta1=0.0, beta2=0.98, factored_second_moment_accumulator=ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001), 8))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/diet.py
|
diet_expert
|
def diet_expert(x, hidden_size, params):
"""A two-layer feed-forward network with relu activation on hidden layer.
Uses diet variables.
Recomputes hidden layer on backprop to save activation memory.
Args:
x: a Tensor with shape [batch, io_size]
hidden_size: an integer
params: a diet variable HParams object.
Returns:
a Tensor with shape [batch, io_size]
"""
@fn_with_diet_vars(params)
def diet_expert_internal(x):
dim = x.get_shape().as_list()[-1]
h = tf.layers.dense(x, hidden_size, activation=tf.nn.relu, use_bias=False)
y = tf.layers.dense(h, dim, use_bias=False)
y *= tf.rsqrt(tf.to_float(dim * hidden_size))
return y
return diet_expert_internal(x)
|
python
|
def diet_expert(x, hidden_size, params):
"""A two-layer feed-forward network with relu activation on hidden layer.
Uses diet variables.
Recomputes hidden layer on backprop to save activation memory.
Args:
x: a Tensor with shape [batch, io_size]
hidden_size: an integer
params: a diet variable HParams object.
Returns:
a Tensor with shape [batch, io_size]
"""
@fn_with_diet_vars(params)
def diet_expert_internal(x):
dim = x.get_shape().as_list()[-1]
h = tf.layers.dense(x, hidden_size, activation=tf.nn.relu, use_bias=False)
y = tf.layers.dense(h, dim, use_bias=False)
y *= tf.rsqrt(tf.to_float(dim * hidden_size))
return y
return diet_expert_internal(x)
|
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] |
A two-layer feed-forward network with relu activation on hidden layer.
Uses diet variables.
Recomputes hidden layer on backprop to save activation memory.
Args:
x: a Tensor with shape [batch, io_size]
hidden_size: an integer
params: a diet variable HParams object.
Returns:
a Tensor with shape [batch, io_size]
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/diet.py#L54-L77
|
train
|
A two - layer feed - forward network with relu activation on hidden layer.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1506 - 1458) + chr(111) + chr(0b110011) + chr(50) + chr(0b101100 + 0o11), 0o10), ehT0Px3KOsy9('\x30' + chr(11605 - 11494) + chr(540 - 490) + '\060' + chr(0b11010 + 0o27), 11210 - 11202), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(10692 - 10581) + chr(50) + chr(0b110101) + chr(51), 49530 - 49522), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\060' + chr(0b1100 + 0o52), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b110100) + chr(0b10111 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + chr(0b100100 + 0o16) + '\x32' + chr(2363 - 2310), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(0b110001) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1000 + 0o52) + '\x31' + '\062', 8), ehT0Px3KOsy9(chr(2037 - 1989) + chr(0b10010 + 0o135) + chr(50) + chr(0b100100 + 0o22) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11011 + 0o124) + chr(49) + chr(48) + chr(1757 - 1707), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(52) + chr(0b101101 + 0o5), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\060' + chr(0b110111), 389 - 381), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b110010) + chr(0b110000), 18422 - 18414), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\x33' + chr(0b110101 + 0o1), 47303 - 47295), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + '\x33' + chr(477 - 424), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100110 + 0o15) + chr(0b1010 + 0o47) + chr(0b11111 + 0o24), 0b1000), ehT0Px3KOsy9('\060' + chr(0b111111 + 0o60) + chr(0b101100 + 0o5) + chr(0b10 + 0o65) + chr(624 - 575), 37133 - 37125), ehT0Px3KOsy9(chr(0b110000) + chr(8886 - 8775) + chr(0b110010) + chr(0b10000 + 0o42) + chr(0b100111 + 0o16), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b110110) + chr(396 - 346), 24020 - 24012), ehT0Px3KOsy9(chr(2302 - 2254) + chr(0b1101111) + '\062' + '\065' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(0b110010) + chr(0b110001) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(433 - 385) + '\157' + '\061' + chr(327 - 273) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(866 - 755) + chr(0b110001) + chr(2099 - 2047) + chr(0b110 + 0o52), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(474 - 423) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100111 + 0o13) + chr(175 - 124) + chr(53), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(928 - 878) + '\062' + chr(0b110000), 15858 - 15850), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2016 - 1965) + chr(0b110101) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\x35' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1820 - 1770) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b111 + 0o53) + chr(0b0 + 0o62) + '\x30', 8), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(0b110011) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(2777 - 2666) + chr(0b110011) + chr(0b110101) + chr(0b111 + 0o54), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(48) + '\x37', 8), ehT0Px3KOsy9(chr(660 - 612) + chr(111) + '\061' + chr(979 - 929) + chr(0b110010), 34085 - 34077), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(0b11111 + 0o24) + '\x36', 8), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(312 - 261) + chr(358 - 307) + chr(0b1101 + 0o43), 36012 - 36004), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\x33' + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(3914 - 3803) + '\x37' + '\064', 12464 - 12456)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110101) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb'), chr(0b1100100) + '\x65' + '\143' + chr(0b1101100 + 0o3) + chr(6011 - 5911) + chr(9760 - 9659))(chr(0b100111 + 0o116) + '\164' + chr(0b1000010 + 0o44) + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def y8j3USYpa_ap(OeWW0F1dBPRQ, qzoyXN3kdhDL, nEbJZ4wfte2w):
@EaQWW96J8gFE(nEbJZ4wfte2w)
def dHqOCLuipNJa(OeWW0F1dBPRQ):
Nl_JhL3qUwSN = OeWW0F1dBPRQ.get_shape().as_list()[-ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001), 0o10)]
sz4HVsFVF8nL = IDJ2eXGCBCDu.layers.dense(OeWW0F1dBPRQ, qzoyXN3kdhDL, activation=IDJ2eXGCBCDu.nn.relu, use_bias=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(48), 0b1000))
SqiSOtYOqOJH = IDJ2eXGCBCDu.layers.dense(sz4HVsFVF8nL, Nl_JhL3qUwSN, use_bias=ehT0Px3KOsy9('\060' + '\x6f' + '\x30', 8))
SqiSOtYOqOJH *= IDJ2eXGCBCDu.rsqrt(IDJ2eXGCBCDu.to_float(Nl_JhL3qUwSN * qzoyXN3kdhDL))
return SqiSOtYOqOJH
return dHqOCLuipNJa(OeWW0F1dBPRQ)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/diet.py
|
_quantize
|
def _quantize(x, params, randomize=True):
"""Quantize x according to params, optionally randomizing the rounding."""
if not params.quantize:
return x
if not randomize:
return tf.bitcast(
tf.cast(x / params.quantization_scale, tf.int16), tf.float16)
abs_x = tf.abs(x)
sign_x = tf.sign(x)
y = abs_x / params.quantization_scale
y = tf.floor(y + tf.random_uniform(common_layers.shape_list(x)))
y = tf.minimum(y, tf.int16.max) * sign_x
q = tf.bitcast(tf.cast(y, tf.int16), tf.float16)
return q
|
python
|
def _quantize(x, params, randomize=True):
"""Quantize x according to params, optionally randomizing the rounding."""
if not params.quantize:
return x
if not randomize:
return tf.bitcast(
tf.cast(x / params.quantization_scale, tf.int16), tf.float16)
abs_x = tf.abs(x)
sign_x = tf.sign(x)
y = abs_x / params.quantization_scale
y = tf.floor(y + tf.random_uniform(common_layers.shape_list(x)))
y = tf.minimum(y, tf.int16.max) * sign_x
q = tf.bitcast(tf.cast(y, tf.int16), tf.float16)
return q
|
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] |
Quantize x according to params, optionally randomizing the rounding.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/diet.py#L235-L250
|
train
|
Quantize x according to params optionally randomizing the rounding.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(3555 - 3444) + chr(50) + chr(2744 - 2690) + chr(0b0 + 0o67), 65274 - 65266), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(0b1011 + 0o53) + '\066', 0o10), ehT0Px3KOsy9(chr(317 - 269) + chr(0b1101111) + chr(1139 - 1090) + chr(1883 - 1835) + '\064', 0b1000), ehT0Px3KOsy9(chr(764 - 716) + chr(0b11000 + 0o127) + chr(50) + chr(53) + '\063', 5846 - 5838), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1038 - 988) + chr(0b1 + 0o64) + chr(619 - 571), 30912 - 30904), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1001001 + 0o46) + chr(49) + chr(0b10010 + 0o41) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + '\066' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(5417 - 5306) + chr(684 - 635) + chr(1781 - 1727) + chr(53), 42339 - 42331), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(388 - 338) + '\x37' + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(3879 - 3768) + '\x35', 52259 - 52251), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + chr(0b110010) + chr(168 - 120) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(323 - 212) + chr(1375 - 1326) + chr(2351 - 2297) + chr(1546 - 1492), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + chr(1487 - 1436) + chr(55) + chr(0b1011 + 0o47), 62783 - 62775), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111 + 0o0) + chr(0b110001) + chr(51) + '\060', 8), ehT0Px3KOsy9('\060' + chr(9029 - 8918) + chr(0b1100 + 0o47) + chr(0b110 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11217 - 11106) + chr(2478 - 2427) + chr(48) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + chr(6253 - 6142) + '\x32' + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001001 + 0o46) + chr(0b11010 + 0o30) + '\x31', 8), ehT0Px3KOsy9(chr(2222 - 2174) + chr(0b1000 + 0o147) + '\x36' + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101001 + 0o106) + chr(49) + chr(0b110010) + chr(0b100000 + 0o20), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(580 - 528), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\x35' + chr(0b101100 + 0o6), 63486 - 63478), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(814 - 703) + chr(50) + chr(0b110111) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + chr(756 - 705) + chr(322 - 270) + chr(2755 - 2702), 0o10), ehT0Px3KOsy9('\060' + chr(10543 - 10432) + chr(334 - 280) + chr(0b1 + 0o61), 8), ehT0Px3KOsy9('\x30' + chr(0b1101000 + 0o7) + chr(0b11011 + 0o26) + chr(52) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b110001) + chr(0b1011 + 0o45), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\066' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1304 - 1256) + chr(111) + chr(2281 - 2230) + chr(49) + chr(0b10101 + 0o35), 48864 - 48856), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(0b110110) + '\060', 35020 - 35012), ehT0Px3KOsy9(chr(1129 - 1081) + chr(111) + chr(49) + chr(1563 - 1511) + chr(0b1101 + 0o44), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(48) + chr(2050 - 2000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(399 - 347) + '\x34', 36259 - 36251), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100010 + 0o17) + chr(0b110000) + chr(0b101 + 0o53), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + '\x36' + chr(53), 8), ehT0Px3KOsy9(chr(886 - 838) + chr(10965 - 10854) + chr(50) + chr(515 - 465) + chr(0b11100 + 0o26), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(0b110000) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(54) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + '\x32' + '\064', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + '\x35' + chr(0b101001 + 0o7), 45447 - 45439)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x99'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1101111) + '\x64' + chr(101))(chr(10963 - 10846) + chr(0b1110100) + chr(0b110001 + 0o65) + chr(478 - 433) + chr(1983 - 1927)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ozT34ZGIf4XE(OeWW0F1dBPRQ, nEbJZ4wfte2w, VHi48LeZ35uX=ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1162 - 1113), 0b1000)):
if not xafqLlk3kkUe(nEbJZ4wfte2w, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\x83%\xc5x\xc1"\xd7'), chr(4364 - 4264) + chr(1199 - 1098) + chr(99) + chr(0b1100100 + 0o13) + chr(7520 - 7420) + chr(0b1100101))(chr(12846 - 12729) + chr(7890 - 7774) + '\146' + '\055' + chr(56))):
return OeWW0F1dBPRQ
if not VHi48LeZ35uX:
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\x9f0\xc8m\xdb,'), chr(100) + chr(7225 - 7124) + chr(0b1100 + 0o127) + '\x6f' + chr(0b1100100) + '\x65')(chr(0b1110101) + '\x74' + chr(0b100011 + 0o103) + chr(233 - 188) + chr(0b1001 + 0o57)))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\x977\xdf'), '\144' + chr(0b1100101) + chr(0b101101 + 0o66) + '\x6f' + '\144' + chr(0b11001 + 0o114))(chr(0b1110101) + '\x74' + chr(0b1100110) + '\x2d' + '\x38'))(OeWW0F1dBPRQ / xafqLlk3kkUe(nEbJZ4wfte2w, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\x83%\xc5x\xc1"\xd3\x01\xd3j\xeb)\x89;x\xa9t'), chr(6498 - 6398) + chr(101) + '\143' + chr(0b1101111) + '\144' + '\145')(chr(0b1110101) + chr(116) + '\x66' + chr(45) + chr(0b1101 + 0o53))), xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\x980\x9a:'), chr(100) + chr(101) + chr(2998 - 2899) + chr(0b1001011 + 0o44) + '\x64' + chr(7759 - 7658))(chr(0b1110101) + '\164' + '\146' + chr(0b101101) + chr(56)))), xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\x9a+\xcax\x99n'), chr(0b1100100) + chr(0b10001 + 0o124) + chr(0b1000011 + 0o40) + chr(0b1101111) + chr(1786 - 1686) + '\145')(chr(117) + '\x74' + chr(102) + chr(45) + chr(0b111000))))
tazkGjRgIehi = IDJ2eXGCBCDu.abs(OeWW0F1dBPRQ)
ulrbMD9Xzwkx = IDJ2eXGCBCDu.sign(OeWW0F1dBPRQ)
SqiSOtYOqOJH = tazkGjRgIehi / nEbJZ4wfte2w.quantization_scale
SqiSOtYOqOJH = IDJ2eXGCBCDu.floor(SqiSOtYOqOJH + IDJ2eXGCBCDu.random_uniform(jSKPaHwSAfVv.shape_list(OeWW0F1dBPRQ)))
SqiSOtYOqOJH = IDJ2eXGCBCDu.minimum(SqiSOtYOqOJH, IDJ2eXGCBCDu.int16.tsdjvlgh9gDP) * ulrbMD9Xzwkx
WtwjCI_b3w8O = IDJ2eXGCBCDu.bitcast(IDJ2eXGCBCDu.cast(SqiSOtYOqOJH, IDJ2eXGCBCDu.int16), IDJ2eXGCBCDu.float16)
return WtwjCI_b3w8O
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/diet.py
|
_dequantize
|
def _dequantize(q, params):
"""Dequantize q according to params."""
if not params.quantize:
return q
return tf.to_float(tf.bitcast(q, tf.int16)) * params.quantization_scale
|
python
|
def _dequantize(q, params):
"""Dequantize q according to params."""
if not params.quantize:
return q
return tf.to_float(tf.bitcast(q, tf.int16)) * params.quantization_scale
|
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] |
Dequantize q according to params.
|
[
"Dequantize",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/diet.py#L253-L257
|
train
|
Dequantize q according to params.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(53) + chr(0b101010 + 0o12), 0o10), ehT0Px3KOsy9(chr(48) + chr(11014 - 10903) + '\x33' + chr(0b10100 + 0o41) + chr(1177 - 1128), 0b1000), ehT0Px3KOsy9('\x30' + chr(6964 - 6853) + chr(50) + chr(0b110010) + chr(2515 - 2464), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\065' + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\064' + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(2031 - 1979) + chr(607 - 557), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(53) + '\x31', 43894 - 43886), ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + chr(50) + '\x37' + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(0b110 + 0o55) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5425 - 5314) + chr(0b110001) + chr(0b110101) + chr(1017 - 968), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + '\x32' + chr(0b110101 + 0o2), 65526 - 65518), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + '\x36' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + '\062' + '\x34' + chr(0b110110), 3557 - 3549), ehT0Px3KOsy9('\060' + chr(111) + '\063' + '\067' + chr(0b100 + 0o60), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001001 + 0o46) + chr(581 - 528) + chr(49), 8), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + chr(0b110011) + chr(1175 - 1125) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(967 - 917) + '\x34' + '\x35', 36356 - 36348), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + '\061' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(53) + '\066', 38241 - 38233), ehT0Px3KOsy9(chr(555 - 507) + chr(0b1011001 + 0o26) + '\x31' + '\x37' + chr(53), 6063 - 6055), ehT0Px3KOsy9(chr(282 - 234) + chr(0b1011110 + 0o21) + chr(49) + chr(49) + chr(48), 47295 - 47287), ehT0Px3KOsy9('\060' + '\x6f' + '\x34' + '\064', 0b1000), ehT0Px3KOsy9(chr(161 - 113) + '\157' + chr(1494 - 1445) + chr(0b110000) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(2062 - 2014) + '\x6f' + chr(0b110001) + chr(54) + '\066', 10043 - 10035), ehT0Px3KOsy9('\060' + chr(0b1100011 + 0o14) + '\062' + chr(55) + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111 + 0o0) + chr(0b101010 + 0o11) + chr(0b10100 + 0o36) + chr(0b100111 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(3781 - 3670) + chr(0b110100) + chr(2206 - 2153), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + '\063' + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(0b110011) + chr(912 - 861), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(7832 - 7721) + chr(0b11110 + 0o25) + chr(0b11110 + 0o26) + chr(0b100000 + 0o23), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(49) + chr(1439 - 1384), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(0b110001) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\064' + chr(54), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b100111 + 0o110) + '\x32' + chr(0b10010 + 0o45) + chr(0b10100 + 0o40), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b111 + 0o150) + '\064' + '\x34', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + '\061' + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(0b100 + 0o153) + chr(1979 - 1930) + '\x35' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110110) + '\063', 31890 - 31882), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(49) + chr(1576 - 1522), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(54) + '\x36', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + chr(0b101000 + 0o15) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x82'), chr(0b11110 + 0o106) + chr(101) + chr(8287 - 8188) + chr(8795 - 8684) + chr(0b1100100) + '\145')('\x75' + chr(116) + chr(102) + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def jfTSj2r9J3e0(WtwjCI_b3w8O, nEbJZ4wfte2w):
if not xafqLlk3kkUe(nEbJZ4wfte2w, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\x9c\xf2\xc3R\x0bS\xde'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b110100 + 0o73) + chr(0b1000010 + 0o42) + chr(0b1100101))(chr(0b110 + 0o157) + chr(116) + chr(102) + '\055' + chr(1289 - 1233))):
return WtwjCI_b3w8O
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\x86\xcc\xcbJ\rH\xcf'), chr(0b111011 + 0o51) + '\x65' + chr(0b1011001 + 0o12) + chr(111) + chr(100) + chr(10044 - 9943))('\x75' + chr(11447 - 11331) + '\146' + '\x2d' + chr(1334 - 1278)))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xce\x80\xe7\xceG\x11]'), chr(0b101110 + 0o66) + chr(0b1100101) + chr(99) + chr(12139 - 12028) + chr(0b1011011 + 0o11) + '\145')(chr(117) + '\164' + chr(102) + chr(0b100000 + 0o15) + chr(0b111000)))(WtwjCI_b3w8O, xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\x87\xe7\x9c\x10'), chr(100) + '\145' + chr(0b111000 + 0o53) + chr(111) + chr(6039 - 5939) + chr(0b1100101))(chr(9630 - 9513) + '\x74' + '\146' + chr(1978 - 1933) + chr(1748 - 1692))))) * xafqLlk3kkUe(nEbJZ4wfte2w, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\x9c\xf2\xc3R\x0bS\xda,\x00x[\xf9\x8fJ\xb3\xc9\xa9'), '\x64' + chr(7600 - 7499) + chr(99) + '\157' + '\x64' + chr(101))(chr(117) + '\x74' + '\x66' + chr(0b101101) + '\x38'))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/diet.py
|
make_diet_var_getter
|
def make_diet_var_getter(params):
"""Create a custom variable getter for diet variables according to params."""
def diet_var_initializer(shape, dtype, partition_info=None):
"""Initializer for a diet variable."""
del dtype
del partition_info
with common_layers.fn_device_dependency("diet_init") as out_deps:
float_range = math.sqrt(3)
ret = tf.random_uniform(shape, -float_range, float_range)
if params.quantize:
ret = _quantize(ret, params, randomize=False)
out_deps.append(ret)
return ret
def diet_var_getter(getter, **kwargs):
"""Get diet variable and return it dequantized."""
if params.quantize:
kwargs["dtype"] = tf.float16
kwargs["initializer"] = diet_var_initializer
kwargs["trainable"] = False
base_var = getter(**kwargs)
dequantized = _dequantize(base_var, params)
if not hasattr(params, "dequantized"):
params.dequantized = defaultdict(list)
params.dequantized[base_var.name].append(dequantized)
return dequantized
return diet_var_getter
|
python
|
def make_diet_var_getter(params):
"""Create a custom variable getter for diet variables according to params."""
def diet_var_initializer(shape, dtype, partition_info=None):
"""Initializer for a diet variable."""
del dtype
del partition_info
with common_layers.fn_device_dependency("diet_init") as out_deps:
float_range = math.sqrt(3)
ret = tf.random_uniform(shape, -float_range, float_range)
if params.quantize:
ret = _quantize(ret, params, randomize=False)
out_deps.append(ret)
return ret
def diet_var_getter(getter, **kwargs):
"""Get diet variable and return it dequantized."""
if params.quantize:
kwargs["dtype"] = tf.float16
kwargs["initializer"] = diet_var_initializer
kwargs["trainable"] = False
base_var = getter(**kwargs)
dequantized = _dequantize(base_var, params)
if not hasattr(params, "dequantized"):
params.dequantized = defaultdict(list)
params.dequantized[base_var.name].append(dequantized)
return dequantized
return diet_var_getter
|
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] |
Create a custom variable getter for diet variables according to params.
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/diet.py#L260-L293
|
train
|
Create a custom variable getter for diet variables according to params.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b11 + 0o154) + chr(0b11001 + 0o30) + chr(0b110 + 0o56) + '\061', 0o10), ehT0Px3KOsy9(chr(384 - 336) + chr(111) + chr(50) + '\x34' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(2135 - 2087) + chr(0b1101111) + '\063' + chr(0b110100) + '\066', 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + '\065' + chr(1726 - 1677), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(744 - 633) + chr(1840 - 1789) + chr(50) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(3446 - 3335) + '\062' + chr(0b101101 + 0o6) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1000 + 0o52) + '\066' + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b1110 + 0o46) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1110 + 0o50) + chr(274 - 220), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(55) + '\x35', 46305 - 46297), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\x6f' + '\062' + chr(1399 - 1347), 7286 - 7278), ehT0Px3KOsy9('\x30' + chr(7692 - 7581) + '\063' + chr(0b10111 + 0o34) + chr(0b11100 + 0o30), 0b1000), ehT0Px3KOsy9('\060' + chr(11791 - 11680) + chr(50) + '\067' + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1188 - 1139) + '\065' + chr(0b10111 + 0o40), 645 - 637), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\x30' + chr(1961 - 1908), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111101 + 0o62) + chr(0b110 + 0o54) + chr(1067 - 1019) + '\064', 29436 - 29428), ehT0Px3KOsy9(chr(116 - 68) + '\157' + '\x33' + chr(48) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(51) + chr(1684 - 1630) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + '\062' + chr(858 - 808) + chr(386 - 337), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111101 + 0o62) + chr(50) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + chr(1782 - 1671) + '\061' + chr(499 - 447) + chr(0b1000 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11543 - 11432) + chr(0b101001 + 0o16) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(1001 - 951) + chr(48) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1901 - 1851) + chr(152 - 103) + chr(1605 - 1553), 52404 - 52396), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(9648 - 9537) + '\062' + '\066' + chr(49), 49718 - 49710), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(51) + chr(51), 0o10), ehT0Px3KOsy9('\060' + chr(0b11111 + 0o120) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101110 + 0o1) + '\x32' + '\065' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(695 - 647) + '\157' + chr(0b11101 + 0o25) + chr(0b110000) + '\062', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\067' + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1011100 + 0o23) + '\x31' + chr(0b101100 + 0o4) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000110 + 0o51) + '\x31' + '\x37' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\x37' + chr(0b110001 + 0o6), 0b1000), ehT0Px3KOsy9('\x30' + chr(2169 - 2058) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\x31' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + chr(50) + chr(51) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\064' + chr(1632 - 1583), 3263 - 3255), ehT0Px3KOsy9('\x30' + chr(1775 - 1664) + chr(0b110110) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1514 - 1463) + chr(0b11100 + 0o30) + chr(50), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + '\065' + chr(0b11110 + 0o22), 45153 - 45145)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'O'), chr(0b1011010 + 0o12) + chr(101) + '\143' + chr(0b1101001 + 0o6) + chr(1738 - 1638) + chr(7579 - 7478))(chr(0b1110 + 0o147) + '\164' + '\x66' + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def MO_zvyxRmou3(nEbJZ4wfte2w):
def Z2PgH4jypv8D(nauYfLglTpcb, jSV9IKnemH7K, o3LrZ0ICzYy6=None):
del jSV9IKnemH7K
del o3LrZ0ICzYy6
with xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\xcb\xb9M\xb6\xeb\xda\x05Sbp\xb9\xcc\n\xeb\xe0\xa7l\x97\xe8'), chr(0b100000 + 0o104) + chr(5236 - 5135) + '\143' + '\157' + '\144' + chr(0b111011 + 0o52))('\165' + chr(0b111 + 0o155) + chr(0b101110 + 0o70) + chr(0b10000 + 0o35) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xcc\x83]\x8c\xf4\xdd\x0fB'), chr(969 - 869) + '\x65' + chr(5641 - 5542) + chr(0b1000001 + 0o56) + '\x64' + chr(0b1100101))(chr(0b1101110 + 0o7) + chr(0b11111 + 0o125) + chr(102) + chr(0b1000 + 0o45) + chr(879 - 823))) as SDz1NTA9r_GG:
jioqBu0SAbyr = yhiZVkosCjBm.sqrt(ehT0Px3KOsy9('\x30' + '\157' + '\063', 49996 - 49988))
VHn4CV4Ymrei = IDJ2eXGCBCDu.random_uniform(nauYfLglTpcb, -jioqBu0SAbyr, jioqBu0SAbyr)
if xafqLlk3kkUe(nEbJZ4wfte2w, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10\xd0\x87G\xa7\xf4\xc9\x03'), chr(0b1000111 + 0o35) + chr(101) + chr(205 - 106) + chr(111) + chr(100) + '\x65')(chr(2202 - 2085) + chr(8570 - 8454) + chr(0b110111 + 0o57) + '\055' + chr(0b111000))):
VHn4CV4Ymrei = ozT34ZGIf4XE(VHn4CV4Ymrei, nEbJZ4wfte2w, randomize=ehT0Px3KOsy9(chr(662 - 614) + '\x6f' + chr(0b11000 + 0o30), 8))
xafqLlk3kkUe(SDz1NTA9r_GG, xafqLlk3kkUe(SXOLrMavuUCe(b'\x00\xd5\x96L\xbd\xf9'), chr(6134 - 6034) + chr(0b1100010 + 0o3) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(101))('\x75' + chr(116) + chr(8303 - 8201) + '\x2d' + chr(0b101100 + 0o14)))(VHn4CV4Ymrei)
return VHn4CV4Ymrei
def _Kkw7XWRfthy(XGjmdKmSZ8Qs, **M8EIoTs2GJXE):
if xafqLlk3kkUe(nEbJZ4wfte2w, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10\xd0\x87G\xa7\xf4\xc9\x03'), chr(8586 - 8486) + chr(0b1010001 + 0o24) + '\x63' + '\x6f' + chr(0b1010000 + 0o24) + '\145')(chr(0b1011001 + 0o34) + '\164' + chr(102) + '\x2d' + '\070')):
M8EIoTs2GJXE[xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xd1\x9fY\xb6'), chr(100) + chr(101) + chr(0b110001 + 0o62) + chr(9567 - 9456) + chr(0b11011 + 0o111) + chr(101))(chr(117) + chr(116) + chr(0b1100110) + chr(45) + '\x38')] = IDJ2eXGCBCDu.float16
M8EIoTs2GJXE[xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xcb\x8f]\xba\xfc\xdf\x0fLXf'), chr(100) + chr(0b1100101) + '\143' + '\157' + chr(7356 - 7256) + '\x65')(chr(0b1110101) + chr(11477 - 11361) + chr(0b111001 + 0o55) + chr(1552 - 1507) + '\070')] = Z2PgH4jypv8D
M8EIoTs2GJXE[xafqLlk3kkUe(SXOLrMavuUCe(b'\x15\xd7\x87@\xbd\xfc\xd1\nS'), chr(0b1011000 + 0o14) + '\145' + '\143' + chr(3267 - 3156) + chr(100) + chr(0b1011101 + 0o10))('\x75' + '\x74' + '\x66' + chr(0b100 + 0o51) + '\x38')] = ehT0Px3KOsy9('\060' + chr(111) + chr(0b110000), 8)
ggILwh6ax0XM = XGjmdKmSZ8Qs(**M8EIoTs2GJXE)
LM9jqEE0Vwke = jfTSj2r9J3e0(ggILwh6ax0XM, nEbJZ4wfte2w)
if not lot1PSoAwYhj(nEbJZ4wfte2w, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xc0\x97\\\xb2\xf3\xc7\x0fLXp'), chr(0b1010000 + 0o24) + chr(0b1100101) + chr(2742 - 2643) + chr(0b1101111) + chr(0b1001110 + 0o26) + chr(101))(chr(8162 - 8045) + chr(116) + chr(0b1001100 + 0o32) + chr(1677 - 1632) + chr(2549 - 2493))):
nEbJZ4wfte2w.LM9jqEE0Vwke = rLgqW9imlCdX(YyaZ4tpXu4lf)
xafqLlk3kkUe(nEbJZ4wfte2w.dequantized[ggILwh6ax0XM.name], xafqLlk3kkUe(SXOLrMavuUCe(b'\x00\xd5\x96L\xbd\xf9'), chr(0b1100100) + chr(101) + '\x63' + '\x6f' + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(12084 - 11968) + chr(0b1100110) + chr(45) + '\070'))(LM9jqEE0Vwke)
return LM9jqEE0Vwke
return _Kkw7XWRfthy
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/diet.py
|
_fn_with_diet_vars
|
def _fn_with_diet_vars(fn, args, params):
"""Call function with args; use diet variables according to params."""
vs_ctr = []
def grad_fn(inputs, variables, outputs, output_grads):
"""Custom gradient function."""
del outputs # recomputing below
with common_layers.fn_device_dependency("diet_grad",
output_grads[0].device) as out_dep:
with tf.variable_scope(vs_ctr[0], reuse=True):
outputs = fn(*inputs)
variables = [common_layers.underlying_variable_ref(v) for v in variables]
dequantized_variables = [
params.dequantized[v.name][-1] for v in variables
]
grads = tf.gradients(outputs, inputs + dequantized_variables,
output_grads)
grad_inputs = grads[:len(inputs)]
grad_variables = grads[len(inputs):]
opt = _create_diet_optimizer(params)
# Apply grad_variables here
var_updates = []
for v, dv in zip(variables, grad_variables):
with tf.variable_scope(vs_ctr[0].name):
opt.create_slots(v)
update_op = opt.update_variable(v, dv)
var_updates.append(update_op)
with tf.control_dependencies(var_updates):
grad_inputs = [tf.identity(dx) for dx in grad_inputs]
out_dep.append(grad_inputs)
return grad_inputs, [None] * len(variables)
@common_layers.fn_with_custom_grad(grad_fn, use_global_vars=True)
def forward(*inputs):
with tf.variable_scope(
None, default_name="diet",
custom_getter=make_diet_var_getter(params)) as vs:
vs_ctr.append(vs)
outputs = fn(*inputs)
return outputs
with common_layers.fn_device_dependency("diet_forward",
args[0].device) as out_dep:
outputs = forward(*args)
out_dep.append(outputs)
return outputs
|
python
|
def _fn_with_diet_vars(fn, args, params):
"""Call function with args; use diet variables according to params."""
vs_ctr = []
def grad_fn(inputs, variables, outputs, output_grads):
"""Custom gradient function."""
del outputs # recomputing below
with common_layers.fn_device_dependency("diet_grad",
output_grads[0].device) as out_dep:
with tf.variable_scope(vs_ctr[0], reuse=True):
outputs = fn(*inputs)
variables = [common_layers.underlying_variable_ref(v) for v in variables]
dequantized_variables = [
params.dequantized[v.name][-1] for v in variables
]
grads = tf.gradients(outputs, inputs + dequantized_variables,
output_grads)
grad_inputs = grads[:len(inputs)]
grad_variables = grads[len(inputs):]
opt = _create_diet_optimizer(params)
# Apply grad_variables here
var_updates = []
for v, dv in zip(variables, grad_variables):
with tf.variable_scope(vs_ctr[0].name):
opt.create_slots(v)
update_op = opt.update_variable(v, dv)
var_updates.append(update_op)
with tf.control_dependencies(var_updates):
grad_inputs = [tf.identity(dx) for dx in grad_inputs]
out_dep.append(grad_inputs)
return grad_inputs, [None] * len(variables)
@common_layers.fn_with_custom_grad(grad_fn, use_global_vars=True)
def forward(*inputs):
with tf.variable_scope(
None, default_name="diet",
custom_getter=make_diet_var_getter(params)) as vs:
vs_ctr.append(vs)
outputs = fn(*inputs)
return outputs
with common_layers.fn_device_dependency("diet_forward",
args[0].device) as out_dep:
outputs = forward(*args)
out_dep.append(outputs)
return outputs
|
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] |
Call function with args; use diet variables according to params.
|
[
"Call",
"function",
"with",
"args",
";",
"use",
"diet",
"variables",
"according",
"to",
"params",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/diet.py#L296-L349
|
train
|
Call function with args ; use diet variables according to params.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(461 - 413) + '\157' + chr(0b110011 + 0o0) + '\062' + chr(0b10011 + 0o37), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11001 + 0o36) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11054 - 10943) + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\067' + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b101101 + 0o11) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(1499 - 1388) + chr(0b110100) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(1636 - 1588) + '\x6f' + chr(55) + chr(934 - 881), 8), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1010100 + 0o33) + chr(0b1000 + 0o51) + chr(1327 - 1279) + '\x30', 0b1000), ehT0Px3KOsy9(chr(308 - 260) + chr(0b1101111) + chr(0b110001) + chr(0b10000 + 0o42) + '\x31', 0o10), ehT0Px3KOsy9(chr(687 - 639) + chr(111) + chr(0b110011 + 0o0) + '\x37' + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(1465 - 1354) + '\x32' + chr(0b110000) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1039 - 987) + chr(2094 - 2044), 8), ehT0Px3KOsy9(chr(0b110000) + chr(2642 - 2531) + chr(0b110001) + '\060' + chr(53), 7821 - 7813), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x34' + chr(2173 - 2118), 0b1000), ehT0Px3KOsy9(chr(48) + chr(8128 - 8017) + '\x35' + '\061', 40118 - 40110), ehT0Px3KOsy9(chr(0b110000) + chr(2026 - 1915) + chr(0b110001) + chr(0b1 + 0o66), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(1138 - 1083), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\x31' + chr(2004 - 1956), 0o10), ehT0Px3KOsy9(chr(2006 - 1958) + chr(9345 - 9234) + chr(49) + chr(0b110110) + '\060', 0o10), ehT0Px3KOsy9(chr(1451 - 1403) + chr(0b1101111) + '\x31' + chr(403 - 351) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(1731 - 1682) + chr(0b10101 + 0o34) + chr(0b110011), 31194 - 31186), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(9927 - 9816) + chr(52) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011101 + 0o22) + '\x32' + chr(0b10111 + 0o33) + '\063', 0o10), ehT0Px3KOsy9(chr(717 - 669) + '\157' + '\x31' + chr(0b101100 + 0o4) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(9620 - 9509) + '\063' + chr(1500 - 1451) + chr(0b101 + 0o55), 0b1000), ehT0Px3KOsy9(chr(1598 - 1550) + chr(0b1101111) + chr(0b110001) + '\066' + chr(74 - 25), 9388 - 9380), ehT0Px3KOsy9(chr(144 - 96) + chr(0b1101111) + '\063' + chr(301 - 246) + chr(0b110000 + 0o5), 8), ehT0Px3KOsy9('\x30' + chr(2681 - 2570) + '\062' + chr(0b1001 + 0o47) + '\x37', 34881 - 34873), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + chr(0b11111 + 0o22) + '\062', 61965 - 61957), ehT0Px3KOsy9('\060' + chr(0b111110 + 0o61) + chr(1561 - 1511) + '\067' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(2251 - 2203) + chr(0b1010110 + 0o31) + chr(0b110010) + chr(1002 - 952), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1480 - 1431) + chr(50), 8), ehT0Px3KOsy9(chr(48) + chr(11048 - 10937) + chr(0b110001 + 0o2) + chr(0b110011) + chr(624 - 569), 36660 - 36652), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010110 + 0o31) + '\062' + '\x37' + chr(0b110001), 41209 - 41201), ehT0Px3KOsy9('\060' + chr(2037 - 1926) + chr(51) + '\x37' + chr(1124 - 1073), 26490 - 26482), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1342 - 1293) + chr(0b110101) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(1158 - 1110) + chr(111) + chr(0b101110 + 0o5) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + '\062' + chr(0b110011 + 0o2), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b111 + 0o55) + '\x35', 38778 - 38770), ehT0Px3KOsy9(chr(887 - 839) + chr(0b1101111) + chr(0b1000 + 0o53) + chr(0b110001) + '\x32', 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(0b1 + 0o64) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc'), chr(6233 - 6133) + chr(3858 - 3757) + chr(4908 - 4809) + chr(0b11001 + 0o126) + chr(0b11110 + 0o106) + chr(101))(chr(0b100010 + 0o123) + chr(116) + chr(102) + chr(45) + chr(0b10001 + 0o47)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def OoPRkWE72to9(wDsB9Ho570J9, kJDRfRhcZHjS, nEbJZ4wfte2w):
Rpppb55nQang = []
def mOK0n0L9FPZ0(vXoupepMtCXU, DaDu8eJMPmzT, Dx_DllZ8uCko, BdyBBK1MBgYM):
del Dx_DllZ8uCko
with xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4QXY\xd2TT#4\xa2\xe7G5BGkz\xa6\x13\x1f'), chr(2386 - 2286) + '\145' + chr(99) + chr(111) + chr(0b1011101 + 0o7) + chr(6549 - 6448))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(1454 - 1409) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6VbI\xe8EO!5'), chr(1366 - 1266) + '\x65' + chr(0b1100 + 0o127) + chr(0b1101111) + chr(0b101011 + 0o71) + chr(101))(chr(117) + chr(0b100100 + 0o120) + chr(0b1100110) + chr(45) + chr(0b110000 + 0o10)), xafqLlk3kkUe(BdyBBK1MBgYM[ehT0Px3KOsy9(chr(48) + chr(0b11100 + 0o123) + chr(0b110000), 0o10)], xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6ZqT\xd4G'), chr(100) + '\x65' + chr(6061 - 5962) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\164' + '\x66' + '\x2d' + chr(0b11010 + 0o36)))) as mBSoXX1eCUfE:
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4^uT\xd6@Q%\x0e\x8e\xe0M5B'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(100) + chr(0b1100101))('\x75' + chr(116) + chr(0b1100110) + '\x2d' + chr(0b10111 + 0o41)))(Rpppb55nQang[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110000), 8)], reuse=ehT0Px3KOsy9(chr(522 - 474) + chr(111) + chr(0b110001), 0b1000)):
Dx_DllZ8uCko = wDsB9Ho570J9(*vXoupepMtCXU)
DaDu8eJMPmzT = [jSKPaHwSAfVv.underlying_variable_ref(cMbll0QYhULo) for cMbll0QYhULo in DaDu8eJMPmzT]
YF1UEe1xgX9Y = [nEbJZ4wfte2w.LM9jqEE0Vwke[cMbll0QYhULo.AIvJRzLdDfgF][-ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001), 8)] for cMbll0QYhULo in DaDu8eJMPmzT]
W1s0NiRRDIwA = IDJ2eXGCBCDu.gradients(Dx_DllZ8uCko, vXoupepMtCXU + YF1UEe1xgX9Y, BdyBBK1MBgYM)
yuSXpDt_ejO4 = W1s0NiRRDIwA[:c2A0yzQpDQB3(vXoupepMtCXU)]
v5rDLU9AXFXH = W1s0NiRRDIwA[c2A0yzQpDQB3(vXoupepMtCXU):]
PFDxXM_vbSsA = ZhYerytXy0Vl(nEbJZ4wfte2w)
d_dYobnNwzmJ = []
for (cMbll0QYhULo, dhE4Fg7yvtqd) in pZ0NK2y6HRbn(DaDu8eJMPmzT, v5rDLU9AXFXH):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4^uT\xd6@Q%\x0e\x8e\xe0M5B'), chr(0b1100100) + chr(0b1100101) + chr(0b10011 + 0o120) + chr(111) + '\x64' + '\x65')(chr(124 - 7) + chr(0b1110100) + chr(102) + '\055' + chr(2848 - 2792)))(xafqLlk3kkUe(Rpppb55nQang[ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'\x93vqw\xe5Xq$\x15\x9b\xe4d'), chr(0b11011 + 0o111) + '\x65' + chr(0b1100011) + chr(8576 - 8465) + '\144' + '\x65')(chr(1208 - 1091) + chr(116) + chr(0b1100110) + chr(45) + chr(1657 - 1601)))):
xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1Mb\\\xc3Gb3=\x92\xf7Q'), '\144' + '\145' + '\x63' + '\157' + chr(0b1100100) + chr(101))('\x75' + chr(7070 - 6954) + '\146' + '\055' + '\070'))(cMbll0QYhULo)
VpfgVvyMtgpW = PFDxXM_vbSsA.update_variable(cMbll0QYhULo, dhE4Fg7yvtqd)
xafqLlk3kkUe(d_dYobnNwzmJ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3OwX\xd9F'), '\144' + '\145' + chr(0b1100011) + chr(0b101 + 0o152) + '\144' + '\145')(chr(117) + chr(0b1110100) + chr(1310 - 1208) + chr(0b101101) + chr(1550 - 1494)))(VpfgVvyMtgpW)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1PiI\xc5MQ\x1f5\x98\xf3G+CLa|\xa1\x15\x15'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b100010 + 0o115) + chr(5142 - 5042) + chr(101))(chr(0b1110101) + '\164' + chr(0b1100110) + '\x2d' + chr(0b111000)))(d_dYobnNwzmJ):
yuSXpDt_ejO4 = [IDJ2eXGCBCDu.identity(yGt1PN0KO3VY) for yGt1PN0KO3VY in yuSXpDt_ejO4]
xafqLlk3kkUe(mBSoXX1eCUfE, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3OwX\xd9F'), '\x64' + chr(0b1011111 + 0o6) + chr(0b10101 + 0o116) + '\157' + '\x64' + chr(0b10110 + 0o117))('\x75' + chr(0b110110 + 0o76) + chr(0b1101 + 0o131) + chr(45) + chr(0b110110 + 0o2)))(yuSXpDt_ejO4)
return (yuSXpDt_ejO4, [None] * c2A0yzQpDQB3(DaDu8eJMPmzT))
@xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4QXJ\xdeVU\x1f2\x88\xf0V*Jvhm\xa9\x14'), '\x64' + '\145' + chr(0b11011 + 0o110) + '\157' + chr(100) + chr(101))('\165' + '\164' + chr(102) + '\055' + chr(56)))(mOK0n0L9FPZ0, use_global_vars=ehT0Px3KOsy9('\060' + chr(111) + '\x31', 8))
def GbbcCHUNFMj5(*vXoupepMtCXU):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4^uT\xd6@Q%\x0e\x8e\xe0M5B'), chr(0b1100100) + chr(1628 - 1527) + '\x63' + '\157' + chr(0b1100100) + '\145')('\x75' + chr(0b1110100) + '\146' + chr(0b100100 + 0o11) + chr(491 - 435)))(None, default_name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6VbI'), '\x64' + '\145' + chr(1073 - 974) + chr(0b111010 + 0o65) + chr(100) + chr(150 - 49))(chr(0b1001101 + 0o50) + '\x74' + chr(0b1100110) + chr(0b1010 + 0o43) + chr(1011 - 955)), custom_getter=MO_zvyxRmou3(nEbJZ4wfte2w)) as qGaVI8v_Oz7A:
xafqLlk3kkUe(Rpppb55nQang, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3OwX\xd9F'), chr(9330 - 9230) + chr(101) + chr(2177 - 2078) + chr(111) + '\x64' + chr(101))(chr(3986 - 3869) + '\x74' + chr(7912 - 7810) + chr(45) + '\070'))(qGaVI8v_Oz7A)
Dx_DllZ8uCko = wDsB9Ho570J9(*vXoupepMtCXU)
return Dx_DllZ8uCko
with xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4QXY\xd2TT#4\xa2\xe7G5BGkz\xa6\x13\x1f'), chr(0b1100100) + chr(3719 - 3618) + chr(99) + chr(0b1001110 + 0o41) + '\x64' + '\145')(chr(0b1000011 + 0o62) + chr(0b1110100) + '\146' + '\055' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6VbI\xe8DR2&\x9c\xf1F'), chr(765 - 665) + '\x65' + chr(8278 - 8179) + chr(10469 - 10358) + '\x64' + '\x65')(chr(117) + chr(12530 - 12414) + chr(0b1100110) + chr(0b100100 + 0o11) + chr(56)), xafqLlk3kkUe(kJDRfRhcZHjS[ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101110 + 0o2), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6ZqT\xd4G'), '\144' + '\x65' + chr(1504 - 1405) + '\157' + chr(6492 - 6392) + chr(7076 - 6975))('\165' + chr(5508 - 5392) + chr(0b1100110) + chr(0b101101) + chr(0b111000)))) as mBSoXX1eCUfE:
Dx_DllZ8uCko = GbbcCHUNFMj5(*kJDRfRhcZHjS)
xafqLlk3kkUe(mBSoXX1eCUfE, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3OwX\xd9F'), chr(4032 - 3932) + '\145' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(101))('\x75' + chr(0b1110100) + chr(0b1000100 + 0o42) + chr(1187 - 1142) + '\070'))(Dx_DllZ8uCko)
return Dx_DllZ8uCko
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/diet.py
|
fn_with_diet_vars
|
def fn_with_diet_vars(params):
"""Decorator for graph-building function to use diet variables."""
params = copy.copy(params)
def dec(fn):
def wrapped(*args):
return _fn_with_diet_vars(fn, args, params)
return wrapped
return dec
|
python
|
def fn_with_diet_vars(params):
"""Decorator for graph-building function to use diet variables."""
params = copy.copy(params)
def dec(fn):
def wrapped(*args):
return _fn_with_diet_vars(fn, args, params)
return wrapped
return dec
|
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] |
Decorator for graph-building function to use diet variables.
|
[
"Decorator",
"for",
"graph",
"-",
"building",
"function",
"to",
"use",
"diet",
"variables",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/diet.py#L352-L363
|
train
|
Decorator for graph - building function to use diet variables.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\066' + chr(2251 - 2197), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + '\x35' + chr(0b11000 + 0o35), 0b1000), ehT0Px3KOsy9(chr(259 - 211) + chr(0b1101111) + chr(0b11011 + 0o27) + chr(1425 - 1375) + chr(0b10110 + 0o37), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\x32' + '\063', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(52) + chr(0b100000 + 0o23), 17329 - 17321), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b110111) + chr(0b10000 + 0o43), 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111 + 0o0) + chr(49) + chr(0b11101 + 0o27) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(1967 - 1919) + chr(0b111110 + 0o61) + chr(1359 - 1309) + '\x32' + chr(2250 - 2197), 8), ehT0Px3KOsy9(chr(1655 - 1607) + chr(111) + chr(0b11111 + 0o23) + '\066', 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(1822 - 1770) + chr(0b100101 + 0o22), 28766 - 28758), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b11000 + 0o33) + chr(0b101110 + 0o3), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110110) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(983 - 935) + chr(11380 - 11269) + '\061' + '\067' + chr(0b110011 + 0o1), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b11010 + 0o30) + chr(0b100000 + 0o27), 0b1000), ehT0Px3KOsy9(chr(570 - 522) + chr(0b111001 + 0o66) + '\x32' + '\x30' + chr(52), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b11010 + 0o31) + '\061' + chr(50), 18608 - 18600), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(54) + chr(0b1 + 0o57), 0o10), ehT0Px3KOsy9(chr(1013 - 965) + '\157' + chr(0b100000 + 0o23) + chr(0b1111 + 0o47) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(12201 - 12090) + '\x34' + chr(0b100110 + 0o20), 0o10), ehT0Px3KOsy9(chr(369 - 321) + chr(0b1101111) + '\063' + '\066' + chr(0b1011 + 0o47), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + '\x31' + chr(0b110010) + chr(0b10 + 0o56), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101111 + 0o2) + chr(0b110101) + chr(0b101100 + 0o12), 0b1000), ehT0Px3KOsy9('\060' + chr(2861 - 2750) + chr(784 - 735) + chr(49) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1001 + 0o146) + chr(0b110010) + '\062' + '\060', 32013 - 32005), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + '\x31' + chr(51) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\x30' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(2209 - 2098) + chr(0b0 + 0o63) + '\063' + chr(2105 - 2052), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010 + 0o0) + chr(0b101000 + 0o16) + '\x35', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b101011 + 0o6) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b111011 + 0o64) + '\061' + chr(0b1101 + 0o43) + '\x31', 0b1000), ehT0Px3KOsy9(chr(1930 - 1882) + '\157' + chr(0b110100) + '\061', 49526 - 49518), ehT0Px3KOsy9(chr(2131 - 2083) + chr(0b1000101 + 0o52) + '\x31' + '\x32' + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\065' + '\x37', 17480 - 17472), ehT0Px3KOsy9(chr(1082 - 1034) + '\x6f' + chr(0b110011) + '\062' + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(242 - 190) + chr(0b1010 + 0o46), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(48) + chr(0b110001 + 0o2), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + chr(2533 - 2482) + chr(0b100101 + 0o17) + chr(0b11000 + 0o30), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101011 + 0o12) + chr(0b110111), 39690 - 39682), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b111 + 0o53) + '\x33' + chr(0b110000 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2403 - 2352) + chr(1300 - 1247) + chr(0b10111 + 0o40), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1014 - 966) + chr(0b1101111) + '\065' + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x18'), chr(100) + chr(0b1011000 + 0o15) + chr(0b101110 + 0o65) + chr(0b1101101 + 0o2) + chr(0b1100100) + chr(5463 - 5362))('\x75' + '\164' + '\146' + '\055' + chr(0b101111 + 0o11)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def EaQWW96J8gFE(nEbJZ4wfte2w):
nEbJZ4wfte2w = igThHS4jwVsa.igThHS4jwVsa(nEbJZ4wfte2w)
def lYfuR8oSO7rp(wDsB9Ho570J9):
def BoeK7hZPPy4I(*kJDRfRhcZHjS):
return OoPRkWE72to9(wDsB9Ho570J9, kJDRfRhcZHjS, nEbJZ4wfte2w)
return BoeK7hZPPy4I
return lYfuR8oSO7rp
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/diet.py
|
DietAdamOptimizer.create_slots
|
def create_slots(self, var):
"""Create the factorized Adam accumulators for diet variables."""
params = self.params
shape = var.get_shape().as_list()
if not hasattr(params, "slots"):
params.slots = defaultdict(dict)
name = var.op.name
slots = params.slots[name]
if params.factored_second_moment_accumulator and len(shape) == 2:
slots["adam_vr"] = tf.get_variable(
name + "_adam_vr", [shape[0], 1],
trainable=False,
initializer=tf.zeros_initializer())
slots["adam_vc"] = tf.get_variable(
name + "_adam_vc", [1, shape[1]],
trainable=False,
initializer=tf.zeros_initializer())
else:
slots["adam_v"] = tf.get_variable(
name + "_adam_v",
shape,
trainable=False,
initializer=tf.zeros_initializer())
if params.beta1 != 0.0:
slots["adam_m"] = tf.get_variable(
name + "_adam_m",
shape,
trainable=False,
initializer=tf.zeros_initializer())
|
python
|
def create_slots(self, var):
"""Create the factorized Adam accumulators for diet variables."""
params = self.params
shape = var.get_shape().as_list()
if not hasattr(params, "slots"):
params.slots = defaultdict(dict)
name = var.op.name
slots = params.slots[name]
if params.factored_second_moment_accumulator and len(shape) == 2:
slots["adam_vr"] = tf.get_variable(
name + "_adam_vr", [shape[0], 1],
trainable=False,
initializer=tf.zeros_initializer())
slots["adam_vc"] = tf.get_variable(
name + "_adam_vc", [1, shape[1]],
trainable=False,
initializer=tf.zeros_initializer())
else:
slots["adam_v"] = tf.get_variable(
name + "_adam_v",
shape,
trainable=False,
initializer=tf.zeros_initializer())
if params.beta1 != 0.0:
slots["adam_m"] = tf.get_variable(
name + "_adam_m",
shape,
trainable=False,
initializer=tf.zeros_initializer())
|
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] |
Create the factorized Adam accumulators for diet variables.
|
[
"Create",
"the",
"factorized",
"Adam",
"accumulators",
"for",
"diet",
"variables",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/diet.py#L144-L175
|
train
|
Create the factorized Adam accumulators for diet variables.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(1137 - 1089) + chr(0b1101111) + chr(0b110010) + chr(49) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1000000 + 0o57) + chr(2309 - 2258) + chr(50) + chr(0b1101 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(1655 - 1607) + chr(0b1101111) + chr(830 - 779) + chr(0b110011) + '\x37', 0o10), ehT0Px3KOsy9(chr(973 - 925) + chr(12319 - 12208) + '\x37' + chr(0b101001 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(2327 - 2275) + chr(778 - 729), 0o10), ehT0Px3KOsy9('\060' + chr(2688 - 2577) + chr(0b110001) + chr(1543 - 1489) + chr(0b110110 + 0o1), 48634 - 48626), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\x33' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + '\x35' + chr(0b10010 + 0o40), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\062' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110100) + chr(48), 64187 - 64179), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x36' + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(0b11011 + 0o32) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b110000 + 0o1), 34847 - 34839), ehT0Px3KOsy9(chr(48) + chr(12283 - 12172) + chr(51) + chr(0b110001) + chr(0b110110), 28942 - 28934), ehT0Px3KOsy9('\060' + '\157' + chr(205 - 156) + '\x30' + chr(0b11100 + 0o32), 15380 - 15372), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\067' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(0b110001) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b111101 + 0o62) + chr(49) + '\x37' + chr(49), 59373 - 59365), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\065' + chr(48), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + '\x32' + chr(0b110100), 35424 - 35416), ehT0Px3KOsy9(chr(53 - 5) + chr(8163 - 8052) + chr(0b11010 + 0o30) + '\x32' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(51) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(0b1011 + 0o47) + '\x32', 890 - 882), ehT0Px3KOsy9('\x30' + chr(7906 - 7795) + chr(2480 - 2429) + '\x35' + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(96 - 46) + chr(0b10010 + 0o36) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(509 - 455) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(1366 - 1318) + chr(0b100101 + 0o112) + '\063' + '\x31' + chr(2040 - 1992), 0b1000), ehT0Px3KOsy9(chr(694 - 646) + '\157' + '\x35', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1754 - 1704) + chr(2554 - 2503) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(48) + chr(50), 8), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(49) + '\065', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b110011) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\067' + chr(2434 - 2380), 8), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + '\x33' + chr(0b100000 + 0o24) + chr(0b100100 + 0o17), 0o10), ehT0Px3KOsy9(chr(999 - 951) + '\157' + chr(0b11101 + 0o25) + '\064' + '\061', 8), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + '\062' + '\x31' + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1683 - 1631) + chr(50), 25392 - 25384), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(51) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(2062 - 2014) + chr(0b101010 + 0o105) + chr(50) + chr(0b110111) + chr(51), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2265 - 2217) + chr(0b1101111) + chr(0b110101) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'4'), chr(0b0 + 0o144) + chr(0b1011101 + 0o10) + '\x63' + '\x6f' + chr(3684 - 3584) + chr(101))('\165' + chr(0b1010100 + 0o40) + chr(0b1100110) + '\055' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def q3sZtcJ2Xi0Q(oVre8I6UXc3b, l38lb8xQZNsE):
nEbJZ4wfte2w = oVre8I6UXc3b.nEbJZ4wfte2w
nauYfLglTpcb = l38lb8xQZNsE.get_shape().as_list()
if not lot1PSoAwYhj(nEbJZ4wfte2w, xafqLlk3kkUe(SXOLrMavuUCe(b'i\xe1\xb9\xabN'), '\x64' + '\145' + '\x63' + chr(0b1011000 + 0o27) + '\x64' + chr(8059 - 7958))(chr(0b1110001 + 0o4) + chr(0b1011110 + 0o26) + '\x66' + chr(45) + chr(0b111000))):
nEbJZ4wfte2w.QaGWUapnTsux = rLgqW9imlCdX(wLqBDw8l0eIm)
AIvJRzLdDfgF = l38lb8xQZNsE.op.AIvJRzLdDfgF
QaGWUapnTsux = nEbJZ4wfte2w.QaGWUapnTsux[AIvJRzLdDfgF]
if xafqLlk3kkUe(nEbJZ4wfte2w, xafqLlk3kkUe(SXOLrMavuUCe(b'|\xec\xb5\xabR\xd3\x12\xbfu%ET\x01\x7f\xaa\x19\x13a\x14M:\xe4\xc33\x8a\xe1\x07\xa5p\xf4\xe3\xf9\xb7\x0c'), chr(716 - 616) + chr(0b1100011 + 0o2) + chr(4665 - 4566) + chr(0b1101111) + chr(100) + chr(5309 - 5208))('\165' + chr(116) + chr(0b1100110) + '\x2d' + '\x38')) and c2A0yzQpDQB3(nauYfLglTpcb) == ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1100001 + 0o16) + chr(0b11110 + 0o24), 0o10):
QaGWUapnTsux[xafqLlk3kkUe(SXOLrMavuUCe(b'{\xe9\xb7\xb2b\xd7\x05'), chr(3163 - 3063) + chr(3703 - 3602) + chr(0b11010 + 0o111) + '\157' + '\x64' + chr(793 - 692))(chr(0b1000111 + 0o56) + '\164' + chr(777 - 675) + chr(0b101101) + chr(56))] = IDJ2eXGCBCDu.get_variable(AIvJRzLdDfgF + xafqLlk3kkUe(SXOLrMavuUCe(b'E\xec\xb2\xbeP\xfe\x01\xa9'), chr(100) + chr(0b11111 + 0o106) + '\143' + chr(0b1100110 + 0o11) + chr(0b1100001 + 0o3) + chr(1016 - 915))('\165' + chr(0b1110100) + chr(102) + chr(1169 - 1124) + chr(0b110010 + 0o6)), [nauYfLglTpcb[ehT0Px3KOsy9(chr(882 - 834) + '\157' + chr(48), 0o10)], ehT0Px3KOsy9(chr(0b110000) + chr(0b1011001 + 0o26) + chr(49), 0b1000)], trainable=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x30', 8), initializer=IDJ2eXGCBCDu.zeros_initializer())
QaGWUapnTsux[xafqLlk3kkUe(SXOLrMavuUCe(b'{\xe9\xb7\xb2b\xd7\x14'), chr(0b101010 + 0o72) + chr(0b11 + 0o142) + chr(9195 - 9096) + chr(7030 - 6919) + chr(100) + chr(0b110 + 0o137))(chr(0b1001001 + 0o54) + chr(0b1101010 + 0o12) + chr(0b1100110) + '\x2d' + chr(0b10011 + 0o45))] = IDJ2eXGCBCDu.get_variable(AIvJRzLdDfgF + xafqLlk3kkUe(SXOLrMavuUCe(b'E\xec\xb2\xbeP\xfe\x01\xb8'), chr(100) + chr(0b1010101 + 0o20) + chr(0b110010 + 0o61) + chr(0b1101111) + chr(7620 - 7520) + chr(101))(chr(10768 - 10651) + chr(0b1110100) + chr(0b11111 + 0o107) + chr(45) + chr(118 - 62)), [ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(1681 - 1570) + chr(0b10001 + 0o40), 8), nauYfLglTpcb[ehT0Px3KOsy9(chr(1297 - 1249) + chr(0b1011000 + 0o27) + chr(1380 - 1331), 8)]], trainable=ehT0Px3KOsy9('\060' + '\157' + '\060', 8), initializer=IDJ2eXGCBCDu.zeros_initializer())
else:
QaGWUapnTsux[xafqLlk3kkUe(SXOLrMavuUCe(b'{\xe9\xb7\xb2b\xd7'), '\x64' + '\145' + chr(99) + '\157' + chr(9968 - 9868) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(0b11100 + 0o112) + '\x2d' + '\x38')] = IDJ2eXGCBCDu.get_variable(AIvJRzLdDfgF + xafqLlk3kkUe(SXOLrMavuUCe(b'E\xec\xb2\xbeP\xfe\x01'), chr(100) + chr(0b10100 + 0o121) + chr(99) + chr(0b1101111) + chr(0b1100001 + 0o3) + chr(0b11110 + 0o107))('\165' + chr(116) + chr(0b1100110) + '\x2d' + '\070'), nauYfLglTpcb, trainable=ehT0Px3KOsy9(chr(48) + chr(111) + chr(706 - 658), 8), initializer=IDJ2eXGCBCDu.zeros_initializer())
if xafqLlk3kkUe(nEbJZ4wfte2w, xafqLlk3kkUe(SXOLrMavuUCe(b'x\xe8\xa2\xbe\x0c'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(111) + chr(0b1011000 + 0o14) + chr(1424 - 1323))(chr(0b1110101) + chr(0b1110100) + chr(0b100 + 0o142) + chr(0b101101) + '\x38')) != 0.0:
QaGWUapnTsux[xafqLlk3kkUe(SXOLrMavuUCe(b'{\xe9\xb7\xb2b\xcc'), chr(0b1101 + 0o127) + chr(0b1100101) + chr(0b11010 + 0o111) + chr(0b1101110 + 0o1) + '\x64' + chr(0b11111 + 0o106))(chr(117) + '\x74' + chr(102) + '\055' + chr(2636 - 2580))] = IDJ2eXGCBCDu.get_variable(AIvJRzLdDfgF + xafqLlk3kkUe(SXOLrMavuUCe(b'E\xec\xb2\xbeP\xfe\x1a'), chr(0b111111 + 0o45) + chr(0b1100101) + '\143' + '\x6f' + chr(2576 - 2476) + chr(4703 - 4602))('\x75' + '\x74' + chr(7450 - 7348) + chr(45) + chr(0b11110 + 0o32)), nauYfLglTpcb, trainable=ehT0Px3KOsy9('\060' + '\x6f' + chr(48), 8), initializer=IDJ2eXGCBCDu.zeros_initializer())
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/diet.py
|
DietAdamOptimizer.update_variable
|
def update_variable(self, var, grad_var):
"""Update the variable and its slots."""
params = self.params
global_step = tf.to_float(self.global_step) + 1
# compute learning rate
lrate = params.learning_rate
if params.learning_rate_decay_scheme == "noam":
lrate *= tf.minimum(global_step * params.learning_rate_warmup_steps**-1.5,
global_step**-0.5)
else:
assert params.learning_rate_decay_scheme == "none"
lrate *= tf.minimum(global_step / params.learning_rate_warmup_steps, 1.0)
# compute adjustment due to second moment
slots = params.slots[var.op.name]
grad_squared = tf.square(grad_var)
beta2_pow = tf.pow(params.beta2, global_step)
if params.factored_second_moment_accumulator and len(var.shape) == 2:
vr_update = tf.assign(slots["adam_vr"], slots["adam_vr"] * params.beta2 +
tf.reduce_mean(grad_squared, 1, keepdims=True) *
(1.0 - params.beta2))
vc_update = tf.assign(slots["adam_vc"], slots["adam_vc"] * params.beta2 +
tf.reduce_mean(grad_squared, 0, keepdims=True) *
(1.0 - params.beta2))
with tf.control_dependencies([vr_update, vc_update]):
vr = tf.sqrt(slots["adam_vr"] / (1.0 - beta2_pow)) + params.epsilon
vc = tf.sqrt(slots["adam_vc"] / (1.0 - beta2_pow)) + params.epsilon
vc /= tf.reduce_mean(vc)
denom = vr * vc
else:
v_update = tf.assign(slots["adam_v"],
slots["adam_v"] * params.beta2 + grad_squared *
(1.0 - params.beta2))
with tf.control_dependencies([v_update]):
denom = tf.sqrt(slots["adam_v"] / (1.0 - beta2_pow)) + params.epsilon
# compute momentum if applicable
if params.beta1 != 0.0:
m_update = tf.assign(slots["adam_m"],
slots["adam_m"] * params.beta1 + grad_var *
(1.0 - params.beta1))
with tf.control_dependencies([m_update]):
grad_var = slots["adam_m"]
# update var
subtrahend = lrate * grad_var / denom
new_val = _quantize(_dequantize(var, params) - subtrahend, params)
return tf.assign(var, new_val)
|
python
|
def update_variable(self, var, grad_var):
"""Update the variable and its slots."""
params = self.params
global_step = tf.to_float(self.global_step) + 1
# compute learning rate
lrate = params.learning_rate
if params.learning_rate_decay_scheme == "noam":
lrate *= tf.minimum(global_step * params.learning_rate_warmup_steps**-1.5,
global_step**-0.5)
else:
assert params.learning_rate_decay_scheme == "none"
lrate *= tf.minimum(global_step / params.learning_rate_warmup_steps, 1.0)
# compute adjustment due to second moment
slots = params.slots[var.op.name]
grad_squared = tf.square(grad_var)
beta2_pow = tf.pow(params.beta2, global_step)
if params.factored_second_moment_accumulator and len(var.shape) == 2:
vr_update = tf.assign(slots["adam_vr"], slots["adam_vr"] * params.beta2 +
tf.reduce_mean(grad_squared, 1, keepdims=True) *
(1.0 - params.beta2))
vc_update = tf.assign(slots["adam_vc"], slots["adam_vc"] * params.beta2 +
tf.reduce_mean(grad_squared, 0, keepdims=True) *
(1.0 - params.beta2))
with tf.control_dependencies([vr_update, vc_update]):
vr = tf.sqrt(slots["adam_vr"] / (1.0 - beta2_pow)) + params.epsilon
vc = tf.sqrt(slots["adam_vc"] / (1.0 - beta2_pow)) + params.epsilon
vc /= tf.reduce_mean(vc)
denom = vr * vc
else:
v_update = tf.assign(slots["adam_v"],
slots["adam_v"] * params.beta2 + grad_squared *
(1.0 - params.beta2))
with tf.control_dependencies([v_update]):
denom = tf.sqrt(slots["adam_v"] / (1.0 - beta2_pow)) + params.epsilon
# compute momentum if applicable
if params.beta1 != 0.0:
m_update = tf.assign(slots["adam_m"],
slots["adam_m"] * params.beta1 + grad_var *
(1.0 - params.beta1))
with tf.control_dependencies([m_update]):
grad_var = slots["adam_m"]
# update var
subtrahend = lrate * grad_var / denom
new_val = _quantize(_dequantize(var, params) - subtrahend, params)
return tf.assign(var, new_val)
|
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] |
Update the variable and its slots.
|
[
"Update",
"the",
"variable",
"and",
"its",
"slots",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/diet.py#L177-L225
|
train
|
Update the variable and its slots.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + chr(2124 - 2075) + chr(747 - 694) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1011111 + 0o20) + '\x31' + chr(0b111 + 0o51) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\065' + chr(0b1100 + 0o47), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(551 - 440) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1000001 + 0o56) + chr(0b11001 + 0o32) + chr(51) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\066' + chr(0b10101 + 0o33), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9509 - 9398) + '\x37' + '\x37', 0b1000), ehT0Px3KOsy9(chr(1151 - 1103) + '\x6f' + chr(51) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11101 + 0o122) + '\x33' + '\061' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(51) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(270 - 215) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(11550 - 11439) + chr(0b1100 + 0o45) + chr(49) + '\060', 36722 - 36714), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b10001 + 0o37) + chr(0b100 + 0o54), 8), ehT0Px3KOsy9('\060' + chr(0b1011010 + 0o25) + '\x32' + '\x34' + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(0b10110 + 0o34) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(2038 - 1990) + chr(9077 - 8966) + chr(0b110110) + chr(2134 - 2080), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11011 + 0o124) + '\x37' + chr(1631 - 1576), 8), ehT0Px3KOsy9(chr(1689 - 1641) + '\x6f' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(0b110111) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(1674 - 1626) + chr(111) + chr(49) + chr(0b10 + 0o57) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1276 - 1221) + '\x37', 8), ehT0Px3KOsy9(chr(978 - 930) + '\157' + chr(54) + '\066', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(52) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + '\062' + chr(2345 - 2292), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2082 - 2032) + chr(699 - 646), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100010 + 0o15) + '\x31' + chr(169 - 120), 17999 - 17991), ehT0Px3KOsy9(chr(526 - 478) + chr(0b1011011 + 0o24) + '\x32' + chr(0b10001 + 0o37) + chr(1197 - 1142), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11111 + 0o27) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(122 - 74) + '\x6f' + chr(2716 - 2663) + '\x30', 53341 - 53333), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b110100) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010100 + 0o33) + chr(50), 29618 - 29610), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(0b11000 + 0o34) + chr(0b11011 + 0o32), 0b1000), ehT0Px3KOsy9('\060' + chr(1246 - 1135) + chr(49) + '\067' + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b111 + 0o150) + chr(1156 - 1107) + chr(1576 - 1525) + chr(52), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(1944 - 1895) + chr(1418 - 1367), 8), ehT0Px3KOsy9(chr(2090 - 2042) + chr(4560 - 4449) + chr(785 - 734) + chr(55) + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1426 - 1372) + chr(0b10110 + 0o37), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1566 - 1517) + '\x35' + '\064', 20588 - 20580), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(2406 - 2351) + chr(0b10100 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1100110 + 0o11) + chr(1549 - 1500) + chr(462 - 410) + chr(0b11100 + 0o26), 52403 - 52395)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110101) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'G'), '\144' + chr(0b1100101) + chr(99) + chr(0b1011000 + 0o27) + chr(0b1100100) + chr(101))('\x75' + chr(0b1110100) + chr(0b11 + 0o143) + chr(45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ScSvrTnN5b0Z(oVre8I6UXc3b, l38lb8xQZNsE, ocosRn8hZFTC):
nEbJZ4wfte2w = oVre8I6UXc3b.nEbJZ4wfte2w
tnqEWmPx71Oj = IDJ2eXGCBCDu.to_float(oVre8I6UXc3b.global_step) + ehT0Px3KOsy9(chr(587 - 539) + chr(111) + chr(0b101101 + 0o4), ord("\x08"))
u0Eg0Ny48Oyu = nEbJZ4wfte2w.QGSIpd_yUNzU
if xafqLlk3kkUe(nEbJZ4wfte2w, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1fsqh\x91u\x06Q\xae)Yy'), chr(0b1010 + 0o132) + '\x65' + chr(0b1100000 + 0o3) + '\157' + '\x64' + chr(0b1001001 + 0o34))('\x75' + chr(0b1110100) + chr(1318 - 1216) + chr(128 - 83) + '\070')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x07/Jk'), chr(0b1010110 + 0o16) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(2967 - 2866))(chr(117) + chr(0b1110100) + '\146' + '\x2d' + '\x38'):
u0Eg0Ny48Oyu *= IDJ2eXGCBCDu.minimum(tnqEWmPx71Oj * nEbJZ4wfte2w.fHyhoyGmdvM9 ** (-1.5), tnqEWmPx71Oj ** (-0.5))
else:
assert xafqLlk3kkUe(nEbJZ4wfte2w, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1fsqh\x91u\x06Q\xae)Yy'), '\144' + chr(0b1100101) + '\143' + '\157' + chr(0b111101 + 0o47) + chr(0b1011100 + 0o11))(chr(117) + chr(10069 - 9953) + chr(0b1100110) + '\055' + chr(0b100001 + 0o27))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x07/Ec'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(100) + '\145')(chr(0b1011001 + 0o34) + chr(116) + chr(0b101110 + 0o70) + chr(45) + chr(0b1110 + 0o52))
u0Eg0Ny48Oyu *= IDJ2eXGCBCDu.minimum(tnqEWmPx71Oj / nEbJZ4wfte2w.fHyhoyGmdvM9, 1.0)
QaGWUapnTsux = nEbJZ4wfte2w.QaGWUapnTsux[l38lb8xQZNsE.op.AIvJRzLdDfgF]
eoatBsoSoaE5 = IDJ2eXGCBCDu.square(ocosRn8hZFTC)
xYxo4EussInB = IDJ2eXGCBCDu.pow(nEbJZ4wfte2w.beta2, tnqEWmPx71Oj)
if xafqLlk3kkUe(nEbJZ4wfte2w, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f!Hr\xb4BZ}\x95/^+/\xc87iRj\x15.QBy\xf4vj\xf2X]\rc\x91\x13.'), chr(7224 - 7124) + chr(0b1100100 + 0o1) + chr(99) + chr(4937 - 4826) + '\x64' + chr(0b1100101))('\165' + '\x74' + chr(0b1010101 + 0o21) + chr(0b101101) + chr(0b111000))) and c2A0yzQpDQB3(xafqLlk3kkUe(l38lb8xQZNsE, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07!^_\xbd|Xu\x9e,X*'), chr(0b1100100) + chr(0b1100101) + chr(0b1001 + 0o132) + chr(111) + chr(7153 - 7053) + chr(101))(chr(117) + '\x74' + '\x66' + chr(0b101010 + 0o3) + chr(0b11001 + 0o37)))) == ehT0Px3KOsy9(chr(0b110000) + chr(8434 - 8323) + '\x32', 8):
sua1fA5MdITx = IDJ2eXGCBCDu.assign(QaGWUapnTsux[xafqLlk3kkUe(SXOLrMavuUCe(b'\x08$Jk\x84FM'), '\144' + chr(2581 - 2480) + chr(1133 - 1034) + '\x6f' + chr(0b1100100) + chr(0b1100101))('\165' + '\164' + '\146' + chr(0b1100 + 0o41) + chr(56))], QaGWUapnTsux[xafqLlk3kkUe(SXOLrMavuUCe(b'\x08$Jk\x84FM'), '\x64' + chr(101) + chr(1453 - 1354) + '\x6f' + chr(751 - 651) + chr(0b1100101))('\x75' + chr(160 - 44) + '\x66' + '\055' + '\x38')] * nEbJZ4wfte2w.beta2 + IDJ2eXGCBCDu.reduce_mean(eoatBsoSoaE5, ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(9200 - 9089) + chr(0b110001), 8), keepdims=ehT0Px3KOsy9('\x30' + chr(0b1001110 + 0o41) + chr(1661 - 1612), 8)) * (1.0 - nEbJZ4wfte2w.beta2))
h7eW62n5Oxf6 = IDJ2eXGCBCDu.assign(QaGWUapnTsux[xafqLlk3kkUe(SXOLrMavuUCe(b'\x08$Jk\x84F\\'), chr(100) + chr(0b1100101) + '\x63' + chr(5638 - 5527) + chr(100) + '\145')(chr(13193 - 13076) + chr(0b1101001 + 0o13) + chr(0b1000 + 0o136) + '\x2d' + chr(0b111000))], QaGWUapnTsux[xafqLlk3kkUe(SXOLrMavuUCe(b'\x08$Jk\x84F\\'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(0b1101111) + '\x64' + chr(101))(chr(919 - 802) + chr(6975 - 6859) + chr(0b1100110) + chr(0b100011 + 0o12) + chr(1215 - 1159))] * nEbJZ4wfte2w.beta2 + IDJ2eXGCBCDu.reduce_mean(eoatBsoSoaE5, ehT0Px3KOsy9(chr(1378 - 1330) + '\157' + chr(48), ord("\x08")), keepdims=ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + '\x31', 8)) * (1.0 - nEbJZ4wfte2w.beta2))
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\n/Er\xa9_SF\xae9K-.\xc26X\\l\x1d8'), chr(0b1110 + 0o126) + chr(101) + '\143' + '\157' + '\144' + chr(101))(chr(0b10101 + 0o140) + chr(667 - 551) + chr(8247 - 8145) + chr(0b101101) + '\070'))([sua1fA5MdITx, h7eW62n5Oxf6]):
TnESGl9uvT5b = IDJ2eXGCBCDu.sqrt(QaGWUapnTsux[xafqLlk3kkUe(SXOLrMavuUCe(b'\x08$Jk\x84FM'), chr(0b10 + 0o142) + chr(101) + '\143' + '\157' + chr(0b1100100) + chr(0b1000100 + 0o41))(chr(0b1110101) + '\x74' + '\146' + '\055' + chr(0b111000))] / (1.0 - xYxo4EussInB)) + nEbJZ4wfte2w.Xtig2zAKpR0T
WsJpvQxIrnGi = IDJ2eXGCBCDu.sqrt(QaGWUapnTsux[xafqLlk3kkUe(SXOLrMavuUCe(b'\x08$Jk\x84F\\'), chr(100) + chr(9856 - 9755) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(0b1001010 + 0o33))(chr(0b1110101) + chr(0b0 + 0o164) + chr(2809 - 2707) + chr(0b101101) + chr(2954 - 2898))] / (1.0 - xYxo4EussInB)) + nEbJZ4wfte2w.Xtig2zAKpR0T
WsJpvQxIrnGi /= IDJ2eXGCBCDu.reduce_mean(WsJpvQxIrnGi)
fXheFXeFuYd1 = TnESGl9uvT5b * WsJpvQxIrnGi
else:
LQY3kZMeAzLq = IDJ2eXGCBCDu.assign(QaGWUapnTsux[xafqLlk3kkUe(SXOLrMavuUCe(b'\x08$Jk\x84F'), '\144' + chr(0b1100101) + chr(3260 - 3161) + '\x6f' + '\x64' + chr(581 - 480))('\165' + chr(2444 - 2328) + chr(0b110010 + 0o64) + chr(0b101101) + chr(2448 - 2392))], QaGWUapnTsux[xafqLlk3kkUe(SXOLrMavuUCe(b'\x08$Jk\x84F'), chr(1868 - 1768) + chr(101) + chr(1540 - 1441) + chr(111) + '\144' + chr(101))('\x75' + '\164' + chr(0b100010 + 0o104) + chr(0b11101 + 0o20) + chr(0b111000))] * nEbJZ4wfte2w.beta2 + eoatBsoSoaE5 * (1.0 - nEbJZ4wfte2w.beta2))
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\n/Er\xa9_SF\xae9K-.\xc26X\\l\x1d8'), '\144' + chr(0b1100001 + 0o4) + '\x63' + chr(0b1101111) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b101 + 0o157) + '\x66' + '\x2d' + '\070'))([LQY3kZMeAzLq]):
fXheFXeFuYd1 = IDJ2eXGCBCDu.sqrt(QaGWUapnTsux[xafqLlk3kkUe(SXOLrMavuUCe(b'\x08$Jk\x84F'), '\x64' + chr(0b1100101) + '\x63' + '\x6f' + chr(100) + chr(0b1000000 + 0o45))(chr(0b111011 + 0o72) + '\164' + '\x66' + '\055' + chr(56))] / (1.0 - xYxo4EussInB)) + nEbJZ4wfte2w.Xtig2zAKpR0T
if xafqLlk3kkUe(nEbJZ4wfte2w, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b%_g\xea'), '\144' + chr(101) + chr(0b110111 + 0o54) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(1165 - 1048) + '\x74' + chr(102) + chr(0b101101) + chr(0b1111 + 0o51))) != 0.0:
fYBNDTSZaaAZ = IDJ2eXGCBCDu.assign(QaGWUapnTsux[xafqLlk3kkUe(SXOLrMavuUCe(b'\x08$Jk\x84]'), '\x64' + '\x65' + '\x63' + chr(10218 - 10107) + chr(0b1100100) + chr(0b1000001 + 0o44))(chr(7721 - 7604) + '\x74' + '\146' + chr(1331 - 1286) + chr(89 - 33))], QaGWUapnTsux[xafqLlk3kkUe(SXOLrMavuUCe(b'\x08$Jk\x84]'), chr(0b1100100) + '\145' + '\x63' + chr(0b1101111) + chr(0b110000 + 0o64) + chr(0b1000000 + 0o45))(chr(117) + chr(3173 - 3057) + '\146' + chr(0b11010 + 0o23) + '\x38')] * nEbJZ4wfte2w.beta1 + ocosRn8hZFTC * (1.0 - nEbJZ4wfte2w.beta1))
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\n/Er\xa9_SF\xae9K-.\xc26X\\l\x1d8'), '\144' + chr(0b1100101) + chr(99) + chr(0b1011 + 0o144) + '\x64' + '\x65')(chr(0b10110 + 0o137) + chr(0b1011001 + 0o33) + chr(5949 - 5847) + chr(1343 - 1298) + chr(0b101 + 0o63)))([fYBNDTSZaaAZ]):
ocosRn8hZFTC = QaGWUapnTsux[xafqLlk3kkUe(SXOLrMavuUCe(b'\x08$Jk\x84]'), chr(0b100100 + 0o100) + chr(101) + '\x63' + '\157' + '\144' + chr(0b11010 + 0o113))(chr(0b1110101) + chr(116) + '\146' + chr(92 - 47) + '\070')]
FL2bn3xZNhit = u0Eg0Ny48Oyu * ocosRn8hZFTC / fXheFXeFuYd1
W7Ml4AH8AA_k = ozT34ZGIf4XE(jfTSj2r9J3e0(l38lb8xQZNsE, nEbJZ4wfte2w) - FL2bn3xZNhit, nEbJZ4wfte2w)
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x083Xo\xbc^'), '\144' + chr(101) + chr(99) + chr(111) + chr(100) + chr(3064 - 2963))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\x2d' + chr(0b111000)))(l38lb8xQZNsE, W7Ml4AH8AA_k)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/mtf_model.py
|
MtfModel.estimator_spec_eval
|
def estimator_spec_eval(
self, features, logits, labels, loss, restore_hook, use_tpu):
"""Construct EstimatorSpec for EVAL mode."""
hparams = self.hparams
problem = hparams.problem
if logits.get_shape().ndims == 3:
logits = tf.expand_dims(tf.expand_dims(logits, 2), 3)
# Support for multiproblem
task_list = [problem]
if hasattr(problem, "task_list"):
task_list = problem.task_list
eval_metrics_fns = metrics.create_evaluation_metrics(task_list, hparams)
if use_tpu:
def metric_fn(tf_logits, labels):
with tf.device("cpu:0"), mtf.utils.outside_all_rewrites():
eval_metrics = {}
for metric_name, metric_fn in six.iteritems(eval_metrics_fns):
if metric_name.split("/")[-1] not in t2t_model.TPU_METRIC_BLACKLIST:
eval_metrics[metric_name] = metric_fn(
tf_logits, None, tf.identity(labels))
return eval_metrics
return tpu_estimator.TPUEstimatorSpec(
tf.estimator.ModeKeys.EVAL,
evaluation_hooks=[restore_hook],
loss=loss,
eval_metrics=(metric_fn, [logits, labels]))
else:
eval_metrics = {}
predictions = {"predictions": logits}
for metric_name, metric_fn in six.iteritems(eval_metrics_fns):
eval_metrics[metric_name] = metric_fn(logits, features,
features["targets"])
return tf.estimator.EstimatorSpec(
tf.estimator.ModeKeys.EVAL,
predictions=predictions,
eval_metric_ops=eval_metrics,
evaluation_hooks=[restore_hook],
loss=loss)
|
python
|
def estimator_spec_eval(
self, features, logits, labels, loss, restore_hook, use_tpu):
"""Construct EstimatorSpec for EVAL mode."""
hparams = self.hparams
problem = hparams.problem
if logits.get_shape().ndims == 3:
logits = tf.expand_dims(tf.expand_dims(logits, 2), 3)
# Support for multiproblem
task_list = [problem]
if hasattr(problem, "task_list"):
task_list = problem.task_list
eval_metrics_fns = metrics.create_evaluation_metrics(task_list, hparams)
if use_tpu:
def metric_fn(tf_logits, labels):
with tf.device("cpu:0"), mtf.utils.outside_all_rewrites():
eval_metrics = {}
for metric_name, metric_fn in six.iteritems(eval_metrics_fns):
if metric_name.split("/")[-1] not in t2t_model.TPU_METRIC_BLACKLIST:
eval_metrics[metric_name] = metric_fn(
tf_logits, None, tf.identity(labels))
return eval_metrics
return tpu_estimator.TPUEstimatorSpec(
tf.estimator.ModeKeys.EVAL,
evaluation_hooks=[restore_hook],
loss=loss,
eval_metrics=(metric_fn, [logits, labels]))
else:
eval_metrics = {}
predictions = {"predictions": logits}
for metric_name, metric_fn in six.iteritems(eval_metrics_fns):
eval_metrics[metric_name] = metric_fn(logits, features,
features["targets"])
return tf.estimator.EstimatorSpec(
tf.estimator.ModeKeys.EVAL,
predictions=predictions,
eval_metric_ops=eval_metrics,
evaluation_hooks=[restore_hook],
loss=loss)
|
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] |
Construct EstimatorSpec for EVAL mode.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/mtf_model.py#L188-L229
|
train
|
Construct EstimatorSpec for EVAL mode.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(215 - 165), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(1637 - 1584) + '\x36', 0o10), ehT0Px3KOsy9(chr(1810 - 1762) + '\x6f' + '\061' + chr(0b110110) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100101 + 0o12) + '\062' + chr(0b100000 + 0o24) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + '\x33' + chr(0b1 + 0o63), 26971 - 26963), ehT0Px3KOsy9('\060' + '\x6f' + chr(1285 - 1235) + '\063' + chr(1644 - 1593), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3268 - 3157) + chr(961 - 911) + chr(1320 - 1269), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(2423 - 2372) + chr(0b110100) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\067' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(1956 - 1908) + '\157' + '\x31' + '\062' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b110 + 0o61) + '\066', 9994 - 9986), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001110 + 0o41) + chr(1991 - 1941) + '\x33' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(108 - 60) + chr(111) + chr(0b110001) + chr(0b11110 + 0o23) + '\067', 58183 - 58175), ehT0Px3KOsy9('\060' + '\157' + chr(569 - 520) + chr(2250 - 2196) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(656 - 608) + chr(4171 - 4060) + chr(1485 - 1436) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(2084 - 2036) + chr(0b101101 + 0o5), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11000 + 0o32) + chr(317 - 268), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1524 - 1474) + chr(49) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(0b110011) + chr(2076 - 2025) + chr(258 - 210), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110 + 0o54) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + '\x35' + chr(0b110001 + 0o4), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(2187 - 2138) + '\x33' + chr(55), 0o10), ehT0Px3KOsy9(chr(1865 - 1817) + chr(0b1101111) + chr(0b110011) + chr(0b110110) + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(0b101110 + 0o101) + '\061' + chr(0b11000 + 0o30) + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b110001) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\x36' + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(5472 - 5361) + '\062' + '\x32' + chr(0b10000 + 0o44), 0b1000), ehT0Px3KOsy9(chr(568 - 520) + chr(0b1011010 + 0o25) + '\x33' + chr(0b11010 + 0o30) + chr(790 - 741), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1705 - 1655) + '\060' + chr(1454 - 1403), 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + chr(50) + chr(0b1001 + 0o47) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(5260 - 5149) + '\063' + '\060' + chr(0b101100 + 0o7), 42054 - 42046), ehT0Px3KOsy9('\x30' + chr(0b111110 + 0o61) + chr(49) + chr(0b110100) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(55) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(52) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(478 - 428) + chr(2126 - 2077) + chr(1871 - 1823), 5836 - 5828), ehT0Px3KOsy9(chr(471 - 423) + chr(0b0 + 0o157) + chr(50) + '\062' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(477 - 429) + chr(4304 - 4193) + chr(1019 - 970) + chr(0b110011) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(1767 - 1719) + chr(5190 - 5079) + chr(0b10100 + 0o37) + '\064' + chr(0b1000 + 0o54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(2046 - 1998) + chr(49), 60869 - 60861), ehT0Px3KOsy9(chr(203 - 155) + '\x6f' + chr(0b110001) + chr(0b11000 + 0o34) + '\x33', 19852 - 19844)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10 + 0o63) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'$'), chr(766 - 666) + chr(101) + '\143' + '\x6f' + '\x64' + '\x65')('\165' + '\164' + chr(102) + chr(45) + chr(0b101101 + 0o13)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GgMCm9qp6iiJ(oVre8I6UXc3b, EEf4r9nUvta_, wF9nmvjsKjYM, uXMK81tmdpTM, YpO0BcZ6fMsf, KxsFMu3qapIB, L4eE7kczIJwa):
n4ljua2gi1Pr = oVre8I6UXc3b.n4ljua2gi1Pr
sO7e1A_Mor6Q = n4ljua2gi1Pr.sO7e1A_Mor6Q
if xafqLlk3kkUe(wF9nmvjsKjYM.get_shape(), xafqLlk3kkUe(SXOLrMavuUCe(b'd\x8a\x1d\xce/'), chr(8888 - 8788) + '\x65' + chr(0b111000 + 0o53) + chr(0b1101111) + chr(0b101010 + 0o72) + chr(0b1000100 + 0o41))('\x75' + chr(11313 - 11197) + chr(0b1100110) + chr(45) + chr(0b111000))) == ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51), 9084 - 9076):
wF9nmvjsKjYM = IDJ2eXGCBCDu.expand_dims(IDJ2eXGCBCDu.expand_dims(wF9nmvjsKjYM, ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(10944 - 10833) + chr(50), 0b1000)), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51), 8))
MXEimWkpnApK = [sO7e1A_Mor6Q]
if lot1PSoAwYhj(sO7e1A_Mor6Q, xafqLlk3kkUe(SXOLrMavuUCe(b'~\x8f\x07\xc8\x03\xf7z\x93I'), '\x64' + chr(101) + '\143' + '\x6f' + '\144' + '\145')(chr(7301 - 7184) + chr(0b1110100) + chr(0b1000001 + 0o45) + chr(0b100110 + 0o7) + chr(1238 - 1182))):
MXEimWkpnApK = sO7e1A_Mor6Q.task_list
ozon0V7aeb2i = yYegMqDoSfs5.create_evaluation_metrics(MXEimWkpnApK, n4ljua2gi1Pr)
if L4eE7kczIJwa:
def sncLXYohINcs(KD_f6l4v1_yl, uXMK81tmdpTM):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'n\x8b\x02\xca?\xfe'), chr(100) + chr(101) + chr(99) + '\157' + '\x64' + chr(0b0 + 0o145))(chr(0b1110101) + chr(0b1110100) + chr(0b1011 + 0o133) + chr(0b11001 + 0o24) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'i\x9e\x01\x99l'), chr(0b1100100) + chr(8356 - 8255) + chr(0b1100011) + chr(0b1001001 + 0o46) + chr(100) + chr(0b100101 + 0o100))(chr(0b1010111 + 0o36) + chr(0b1101011 + 0o11) + '\146' + chr(45) + '\x38')), xafqLlk3kkUe(n08eHRtHxoln.utils, xafqLlk3kkUe(SXOLrMavuUCe(b'e\x9b\x00\xd05\xffv\xbf\\<\x12\xc2=\x14{\xf0x\xfa\xbdf'), '\144' + chr(298 - 197) + chr(99) + chr(9976 - 9865) + chr(2314 - 2214) + chr(6847 - 6746))('\x75' + chr(8683 - 8567) + '\x66' + chr(635 - 590) + chr(0b111000)))():
gEY30c7K0x8W = {}
for (Fk10FZM6EP2K, sncLXYohINcs) in xafqLlk3kkUe(sYby0kpfssd4, xafqLlk3kkUe(SXOLrMavuUCe(b'c\x9a\x11\xd15\xefv\x8dN'), chr(0b1100100) + chr(0b1010111 + 0o16) + '\x63' + '\x6f' + chr(0b101101 + 0o67) + '\x65')(chr(117) + chr(116) + '\x66' + chr(1751 - 1706) + chr(0b11101 + 0o33)))(ozon0V7aeb2i):
if xafqLlk3kkUe(Fk10FZM6EP2K, xafqLlk3kkUe(SXOLrMavuUCe(b'y\x9e\x18\xca('), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + '\x64' + '\x65')('\165' + '\164' + '\x66' + chr(337 - 292) + chr(0b110001 + 0o7)))(xafqLlk3kkUe(SXOLrMavuUCe(b'%'), chr(100) + chr(101) + chr(99) + chr(111) + chr(100) + chr(0b100001 + 0o104))(chr(117) + chr(4386 - 4270) + '\x66' + chr(45) + chr(0b111000)))[-ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001), ord("\x08"))] not in xafqLlk3kkUe(BeAyCOlpGTfm, xafqLlk3kkUe(SXOLrMavuUCe(b'^\xbe!\xfc\x11\xdeG\xb2t\x13!\xdf\x030O\xc9]\xc7\x8bA'), '\144' + chr(101) + chr(0b1100011) + chr(0b1 + 0o156) + '\144' + '\x65')(chr(0b1110101) + chr(9060 - 8944) + chr(707 - 605) + '\x2d' + chr(1900 - 1844))):
gEY30c7K0x8W[Fk10FZM6EP2K] = sncLXYohINcs(KD_f6l4v1_yl, None, IDJ2eXGCBCDu.identity(uXMK81tmdpTM))
return gEY30c7K0x8W
return xafqLlk3kkUe(kwJmXoT10yyG, xafqLlk3kkUe(SXOLrMavuUCe(b'^\xbe!\xe6/\xefz\x8d\\$\x11\xef\x1c\x01i\xe1'), chr(0b1011101 + 0o7) + '\x65' + '\x63' + chr(0b10111 + 0o130) + '\x64' + chr(0b111 + 0o136))('\x75' + '\164' + chr(102) + '\x2d' + chr(56)))(xafqLlk3kkUe(IDJ2eXGCBCDu.estimator.ModeKeys, xafqLlk3kkUe(SXOLrMavuUCe(b'O\xb85\xef'), '\144' + '\145' + chr(99) + chr(2089 - 1978) + '\144' + '\x65')('\165' + chr(0b1110100) + '\x66' + chr(760 - 715) + chr(0b111000))), evaluation_hooks=[KxsFMu3qapIB], loss=YpO0BcZ6fMsf, eval_metrics=(sncLXYohINcs, [wF9nmvjsKjYM, uXMK81tmdpTM]))
else:
gEY30c7K0x8W = {}
qIQi_VFCIFZL = {xafqLlk3kkUe(SXOLrMavuUCe(b'z\x9c\x11\xc75\xf8g\x89R>\r'), '\x64' + chr(8543 - 8442) + chr(4280 - 4181) + '\x6f' + '\x64' + '\x65')(chr(11243 - 11126) + '\x74' + chr(0b1100110) + '\055' + chr(56)): wF9nmvjsKjYM}
for (Fk10FZM6EP2K, sncLXYohINcs) in xafqLlk3kkUe(sYby0kpfssd4, xafqLlk3kkUe(SXOLrMavuUCe(b'c\x9a\x11\xd15\xefv\x8dN'), chr(0b1100100) + chr(101) + chr(0b110111 + 0o54) + '\157' + '\144' + chr(0b1010000 + 0o25))(chr(3381 - 3264) + '\x74' + '\x66' + chr(0b101101) + chr(0b111000)))(ozon0V7aeb2i):
gEY30c7K0x8W[Fk10FZM6EP2K] = sncLXYohINcs(wF9nmvjsKjYM, EEf4r9nUvta_, EEf4r9nUvta_[xafqLlk3kkUe(SXOLrMavuUCe(b'~\x8f\x06\xc49\xef`'), chr(0b10010 + 0o122) + '\x65' + chr(0b1100011) + '\157' + chr(2716 - 2616) + chr(5012 - 4911))(chr(4156 - 4039) + chr(116) + '\146' + chr(45) + '\070')])
return xafqLlk3kkUe(IDJ2eXGCBCDu.estimator, xafqLlk3kkUe(SXOLrMavuUCe(b'O\x9d\x00\xca1\xfag\x8fO\x03\x0e\xf8,'), '\x64' + '\145' + chr(99) + '\x6f' + chr(100) + chr(0b1100101))('\165' + '\164' + '\x66' + chr(0b101101) + chr(623 - 567)))(xafqLlk3kkUe(IDJ2eXGCBCDu.estimator.ModeKeys, xafqLlk3kkUe(SXOLrMavuUCe(b'O\xb85\xef'), '\x64' + '\x65' + chr(0b1011101 + 0o6) + chr(111) + '\x64' + '\145')(chr(5021 - 4904) + chr(0b1110100) + chr(102) + '\055' + chr(56))), predictions=qIQi_VFCIFZL, eval_metric_ops=gEY30c7K0x8W, evaluation_hooks=[KxsFMu3qapIB], loss=YpO0BcZ6fMsf)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/desc2code.py
|
generator_samples
|
def generator_samples(tmp_dir, pb_cst):
"""Generator for the dataset samples.
If not present, download and extract the dataset.
Args:
tmp_dir: path to the directory where to download the dataset.
pb_cst: CodingPbConstants object defining paths
Yields:
A CodingPbInfo object containing the next challenge informations.
"""
# Step1: Download dataset (eventually)
data_zip_path = generator_utils.maybe_download_from_drive(
directory=tmp_dir,
filename=_DATASET_FILENAME,
url=_DATASET_URL,
)
tf.logging.info("Data downloaded in: {}".format(data_zip_path))
# Step2: Extract dataset
# We could deduce _DATASET_PB_PATH from the zip file (instead of
# hardcoded path)
data_rootdir = os.path.join(tmp_dir, _DATASET_PB_PATH)
if not tf.gfile.Exists(data_rootdir):
with zipfile.ZipFile(data_zip_path, "r") as corpus_zip:
corpus_zip.extractall(tmp_dir)
# We could remove the extracted __MACOSX folder
tf.logging.info("Data extracted in: {}".format(tmp_dir))
else:
tf.logging.info("Data already extracted in: {}".format(tmp_dir))
# Step3: Extract the problems list on the extracted folder
def contains_samples(subdir, dirs, files): # pylint: disable=unused-argument
"""Check that the folder contains a problem."""
return (
_DESC_DIR_NAME in dirs and
pb_cst.code_dir_name in dirs
)
def next_sample(subdir, dirs, files): # pylint: disable=unused-argument
"""Return the filenames of the problem."""
# More could be extracted (like the expected inputs/outputs
# pairs, the problem difficulty, the names of the algorithmic techniques
# needed)
desc_file = os.path.join(subdir, _DESC_DIR_NAME, "description.txt")
code_files = []
# As the dataset is noisy, the program deduce the language from the file
# content.
code_pattern = os.path.join(subdir, pb_cst.code_dir_name, "*.txt")
for f in tf.gfile.Glob(code_pattern):
with tf.gfile.GFile(f, mode="r") as target_file:
# Hack to filter C++/Java files. In theory some python comments could
# make the file be considered as C++ but in practice the chance of
# getting a false negative is low.
content = target_file.read()
if not any(p in content for p in pb_cst.filter_patterns):
code_files.append(f)
return CodingPbInfo(
desc_file=desc_file,
code_files=code_files
)
# The dataset contains problem from two different sources (CodeChef
# and CodeForces). Due to the limited number of samples, all problems from
# both sources are merged
for w in tf.gfile.Walk(data_rootdir):
if contains_samples(*w):
yield next_sample(*w)
|
python
|
def generator_samples(tmp_dir, pb_cst):
"""Generator for the dataset samples.
If not present, download and extract the dataset.
Args:
tmp_dir: path to the directory where to download the dataset.
pb_cst: CodingPbConstants object defining paths
Yields:
A CodingPbInfo object containing the next challenge informations.
"""
# Step1: Download dataset (eventually)
data_zip_path = generator_utils.maybe_download_from_drive(
directory=tmp_dir,
filename=_DATASET_FILENAME,
url=_DATASET_URL,
)
tf.logging.info("Data downloaded in: {}".format(data_zip_path))
# Step2: Extract dataset
# We could deduce _DATASET_PB_PATH from the zip file (instead of
# hardcoded path)
data_rootdir = os.path.join(tmp_dir, _DATASET_PB_PATH)
if not tf.gfile.Exists(data_rootdir):
with zipfile.ZipFile(data_zip_path, "r") as corpus_zip:
corpus_zip.extractall(tmp_dir)
# We could remove the extracted __MACOSX folder
tf.logging.info("Data extracted in: {}".format(tmp_dir))
else:
tf.logging.info("Data already extracted in: {}".format(tmp_dir))
# Step3: Extract the problems list on the extracted folder
def contains_samples(subdir, dirs, files): # pylint: disable=unused-argument
"""Check that the folder contains a problem."""
return (
_DESC_DIR_NAME in dirs and
pb_cst.code_dir_name in dirs
)
def next_sample(subdir, dirs, files): # pylint: disable=unused-argument
"""Return the filenames of the problem."""
# More could be extracted (like the expected inputs/outputs
# pairs, the problem difficulty, the names of the algorithmic techniques
# needed)
desc_file = os.path.join(subdir, _DESC_DIR_NAME, "description.txt")
code_files = []
# As the dataset is noisy, the program deduce the language from the file
# content.
code_pattern = os.path.join(subdir, pb_cst.code_dir_name, "*.txt")
for f in tf.gfile.Glob(code_pattern):
with tf.gfile.GFile(f, mode="r") as target_file:
# Hack to filter C++/Java files. In theory some python comments could
# make the file be considered as C++ but in practice the chance of
# getting a false negative is low.
content = target_file.read()
if not any(p in content for p in pb_cst.filter_patterns):
code_files.append(f)
return CodingPbInfo(
desc_file=desc_file,
code_files=code_files
)
# The dataset contains problem from two different sources (CodeChef
# and CodeForces). Due to the limited number of samples, all problems from
# both sources are merged
for w in tf.gfile.Walk(data_rootdir):
if contains_samples(*w):
yield next_sample(*w)
|
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Generator for the dataset samples.
If not present, download and extract the dataset.
Args:
tmp_dir: path to the directory where to download the dataset.
pb_cst: CodingPbConstants object defining paths
Yields:
A CodingPbInfo object containing the next challenge informations.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/desc2code.py#L240-L308
|
train
|
Generator for the dataset samples.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b101011 + 0o104) + chr(51) + '\066' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + chr(11009 - 10898) + chr(0b110001) + '\060' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + chr(0b1100 + 0o45) + chr(0b11010 + 0o33) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b111011 + 0o64) + '\x37' + '\063', 3495 - 3487), ehT0Px3KOsy9(chr(48) + chr(11397 - 11286) + chr(0b110110) + '\063', 10856 - 10848), ehT0Px3KOsy9('\060' + chr(0b111011 + 0o64) + chr(0b101111 + 0o3) + chr(472 - 417), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b100100 + 0o113) + '\x33' + chr(2356 - 2302) + chr(0b101001 + 0o12), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11101 + 0o24) + chr(2014 - 1966) + chr(1595 - 1540), 8), ehT0Px3KOsy9(chr(357 - 309) + chr(111) + chr(51) + chr(0b1 + 0o63) + '\064', 48917 - 48909), ehT0Px3KOsy9(chr(48) + chr(0b111101 + 0o62) + chr(0b110001 + 0o1) + chr(53) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + '\067' + chr(2190 - 2142), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\062' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(4700 - 4589) + '\062' + chr(1275 - 1223) + '\x33', 26475 - 26467), ehT0Px3KOsy9(chr(82 - 34) + '\157' + '\x31' + '\063' + '\x36', 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + '\x31' + '\063' + chr(0b110 + 0o60), 8), ehT0Px3KOsy9(chr(1439 - 1391) + '\157' + chr(1695 - 1644) + chr(0b1100 + 0o53) + chr(50), 10849 - 10841), ehT0Px3KOsy9(chr(438 - 390) + chr(11652 - 11541) + chr(0b110011) + chr(2251 - 2200) + '\x30', 43543 - 43535), ehT0Px3KOsy9('\060' + chr(111) + chr(2030 - 1977) + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(0b100110 + 0o111) + '\x31' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + chr(0b110011) + '\062' + chr(0b10011 + 0o42), 57909 - 57901), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b100011 + 0o21) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b10001 + 0o42) + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(0b100111 + 0o110) + chr(0b11101 + 0o25) + '\066' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3468 - 3357) + chr(54) + '\067', 60452 - 60444), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b101110 + 0o101) + chr(50) + chr(2252 - 2202) + chr(0b110001 + 0o4), 0o10), ehT0Px3KOsy9(chr(2304 - 2256) + chr(0b1001100 + 0o43) + chr(49) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(49) + chr(0b110101) + '\065', 3996 - 3988), ehT0Px3KOsy9(chr(621 - 573) + chr(12139 - 12028) + '\061' + chr(0b110111) + chr(2913 - 2858), 0b1000), ehT0Px3KOsy9(chr(1754 - 1706) + chr(0b10010 + 0o135) + '\x31' + chr(50) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(1726 - 1674) + '\063', 0b1000), ehT0Px3KOsy9(chr(2133 - 2085) + chr(0b1101111) + chr(2361 - 2312) + chr(0b1000 + 0o52) + '\062', 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + chr(1880 - 1827) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(0b110010) + chr(187 - 136) + chr(1151 - 1102), 0o10), ehT0Px3KOsy9('\060' + chr(3862 - 3751) + chr(0b10101 + 0o34) + chr(0b110001) + chr(0b110110), 16027 - 16019), ehT0Px3KOsy9(chr(1571 - 1523) + '\157' + '\x32' + '\063' + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(484 - 433) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b111110 + 0o61) + chr(0b1 + 0o60) + chr(0b110100) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x36' + chr(102 - 52), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100101 + 0o16) + chr(2183 - 2135) + chr(48), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1750 - 1702) + chr(0b110111 + 0o70) + chr(53) + chr(0b100 + 0o54), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb'), '\144' + chr(0b1100101) + chr(3633 - 3534) + chr(6112 - 6001) + chr(4625 - 4525) + chr(0b1100101))('\165' + chr(11941 - 11825) + chr(6804 - 6702) + '\x2d' + chr(0b110000 + 0o10)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def WOh6Nz0fDGkp(JsZ36NJUqtml, j4fSMUE0Cnfw):
tsPZzp14xiKx = g1Z_RG9zP4cD.maybe_download_from_drive(directory=JsZ36NJUqtml, filename=FgjGIOoigwxW, url=PnACI11Z9nej)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6p!CFt\x94p\x8e\xc5\xe2\xfa'), chr(100) + chr(0b1100101) + chr(99) + chr(2698 - 2587) + chr(8219 - 8119) + chr(0b101111 + 0o66))('\x75' + chr(2468 - 2352) + chr(102) + '\x2d' + chr(0b1100 + 0o54)))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1&\x1dZ\x13s\x9c0\x8a\xc5\xd7\xf0\xc7;:\xda\xb1B5\xf5\x9d\xe0'), chr(100) + '\x65' + chr(99) + chr(111) + chr(0b1100100) + '\x65')(chr(117) + chr(0b1110100) + '\x66' + chr(0b101101) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3s\x1bT{v\xa0t\xb4\xd9\xdd\xfb'), '\x64' + chr(3145 - 3044) + '\x63' + chr(111) + chr(7175 - 7075) + '\x65')(chr(117) + chr(0b1110100) + chr(0b110100 + 0o62) + chr(0b1011 + 0o42) + '\070'))(tsPZzp14xiKx))
hs5RwBD6mjvS = oqhJDdMJfuwx.path.join(JsZ36NJUqtml, A_yN9vkEf078)
if not xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0?\x00HGd'), chr(0b1100100) + chr(0b1100101) + chr(751 - 652) + chr(0b111110 + 0o61) + chr(0b1100010 + 0o2) + '\x65')('\x75' + chr(1974 - 1858) + chr(0b1010100 + 0o22) + '\055' + chr(0b111000)))(hs5RwBD6mjvS):
with xafqLlk3kkUe(PFu838VwaBva, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf.\x19}Z{\x96'), chr(0b1100100) + chr(0b1100101) + chr(5543 - 5444) + chr(7794 - 7683) + '\144' + chr(0b1100101))(chr(9727 - 9610) + '\x74' + '\x66' + chr(0b11011 + 0o22) + chr(0b100111 + 0o21)))(tsPZzp14xiKx, xafqLlk3kkUe(SXOLrMavuUCe(b'\x87'), chr(0b1100100) + '\145' + chr(0b1000001 + 0o42) + '\x6f' + '\144' + chr(101))(chr(12804 - 12687) + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b111000))) as _fgyP7NIO7qJ:
xafqLlk3kkUe(_fgyP7NIO7qJ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90?\x1dIRt\x87&\x88\xc5'), chr(0b1100 + 0o130) + chr(0b1100101) + chr(99) + '\x6f' + chr(100) + '\145')(chr(0b1110101) + '\x74' + chr(0b1010010 + 0o24) + '\055' + chr(1158 - 1102)))(JsZ36NJUqtml)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6p!CFt\x94p\x8e\xc5\xe2\xfa'), '\144' + '\x65' + chr(0b1100011) + '\x6f' + '\x64' + chr(2663 - 2562))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1&\x1dZ\x13r\x8b3\x96\xc8\xdb\xe5\xc6:~\x93\xb6\x16/\xae\x9b'), chr(5412 - 5312) + chr(0b1100011 + 0o2) + '\x63' + chr(0b1101111) + chr(8230 - 8130) + chr(7037 - 6936))(chr(117) + '\164' + '\146' + chr(0b110 + 0o47) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3s\x1bT{v\xa0t\xb4\xd9\xdd\xfb'), '\x64' + chr(0b1100101) + chr(0b111 + 0o134) + chr(138 - 27) + chr(3695 - 3595) + chr(101))(chr(0b1101 + 0o150) + chr(0b100001 + 0o123) + chr(0b1100110) + chr(0b101101) + chr(0b11000 + 0o40)))(JsZ36NJUqtml))
else:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6p!CFt\x94p\x8e\xc5\xe2\xfa'), chr(100) + chr(0b1100101) + '\143' + chr(0b1100010 + 0o15) + '\144' + '\145')('\x75' + chr(0b1110100) + '\146' + '\x2d' + chr(1536 - 1480)))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1&\x1dZ\x13v\x9f5\x81\xc8\xdc\xe8\x83;&\x8e\xaaMl\xa1\x83\xf9\x97^|\xaf.\x16\x02'), chr(9084 - 8984) + '\145' + chr(99) + chr(111) + chr(100) + chr(9237 - 9136))(chr(0b1110011 + 0o2) + chr(4467 - 4351) + chr(0b1100110) + chr(1019 - 974) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3s\x1bT{v\xa0t\xb4\xd9\xdd\xfb'), chr(351 - 251) + chr(0b1011 + 0o132) + chr(0b1100011) + chr(0b10100 + 0o133) + chr(100) + chr(101))(chr(117) + '\x74' + '\146' + chr(0b101101) + chr(0b111000)))(JsZ36NJUqtml))
def kT2XENXlWBtQ(LOQ33RWbsQRm, DGRK1ckYXxl6, uyc48vokp5OE):
return RJenroizhlHP in DGRK1ckYXxl6 and xafqLlk3kkUe(j4fSMUE0Cnfw, xafqLlk3kkUe(SXOLrMavuUCe(b'\x96(\r^ls\x9a5\xbb\xc7\xd9\xfc\xc6'), '\144' + chr(2090 - 1989) + '\x63' + chr(11161 - 11050) + chr(0b100000 + 0o104) + chr(8680 - 8579))(chr(117) + '\x74' + chr(0b1100110) + chr(45) + chr(77 - 21))) in DGRK1ckYXxl6
def rLx8RQupvoI3(LOQ33RWbsQRm, DGRK1ckYXxl6, uyc48vokp5OE):
C0wuLijuohvm = oqhJDdMJfuwx.path.join(LOQ33RWbsQRm, RJenroizhlHP, xafqLlk3kkUe(SXOLrMavuUCe(b'\x91"\x1aXA~\x833\x8d\xc6\xd6\xbf\xd7&*'), '\x64' + chr(101) + '\x63' + chr(0b1010101 + 0o32) + chr(100) + chr(101))(chr(11228 - 11111) + '\x74' + '\x66' + '\x2d' + '\070'))
MfeebrwgTQXN = []
kA65RoakeT3K = oqhJDdMJfuwx.path.join(LOQ33RWbsQRm, j4fSMUE0Cnfw.code_dir_name, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdfi\x1dCG'), '\144' + chr(0b11000 + 0o115) + '\143' + '\157' + '\144' + chr(0b1010010 + 0o23))(chr(117) + '\164' + '\x66' + chr(1110 - 1065) + chr(0b10111 + 0o41)))
for EGyt1xfPT1P6 in xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2+\x06Y'), chr(0b1100100) + '\145' + chr(0b1001 + 0o132) + '\x6f' + '\x64' + '\145')(chr(0b1110101) + chr(968 - 852) + chr(10168 - 10066) + chr(0b11011 + 0o22) + '\070'))(kA65RoakeT3K):
with xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2\x01\x00WV'), chr(8767 - 8667) + chr(0b1100101) + chr(8215 - 8116) + chr(0b1111 + 0o140) + '\144' + chr(0b1100101))('\x75' + chr(9080 - 8964) + '\x66' + chr(1364 - 1319) + '\x38'))(EGyt1xfPT1P6, mode=xafqLlk3kkUe(SXOLrMavuUCe(b'\x87'), chr(0b1100100) + chr(101) + chr(2068 - 1969) + '\157' + '\x64' + chr(0b111101 + 0o50))('\165' + chr(4027 - 3911) + chr(5294 - 5192) + chr(0b101101) + chr(56))) as CRIagLW0mIXH:
VjgGQlDzfDa9 = CRIagLW0mIXH.U6MiWrhuCi2Y()
if not UVSi4XW7eBIM((UyakMW2IMFEj in VjgGQlDzfDa9 for UyakMW2IMFEj in xafqLlk3kkUe(j4fSMUE0Cnfw, xafqLlk3kkUe(SXOLrMavuUCe(b'\x93.\x05OVe\xac7\x85\xdd\xcc\xf4\xd10-'), chr(4892 - 4792) + chr(0b1100101) + chr(0b1001101 + 0o26) + chr(11729 - 11618) + '\144' + chr(9461 - 9360))('\x75' + '\x74' + '\x66' + '\x2d' + chr(2333 - 2277))))):
xafqLlk3kkUe(MfeebrwgTQXN, xafqLlk3kkUe(SXOLrMavuUCe(b'\x947\x19^]s'), '\144' + chr(101) + '\x63' + '\x6f' + chr(0b1100100) + chr(101))(chr(0b1011111 + 0o26) + '\x74' + '\146' + chr(1246 - 1201) + chr(0b11 + 0o65)))(EGyt1xfPT1P6)
return H2fFup7TltGb(desc_file=C0wuLijuohvm, code_files=MfeebrwgTQXN)
for AOfzRywRzEXp in xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2&\x05P'), '\144' + chr(218 - 117) + '\143' + chr(0b1101111) + chr(2179 - 2079) + chr(0b1100101))('\165' + chr(0b111110 + 0o66) + chr(7338 - 7236) + chr(1810 - 1765) + chr(2110 - 2054)))(hs5RwBD6mjvS):
if kT2XENXlWBtQ(*AOfzRywRzEXp):
yield rLx8RQupvoI3(*AOfzRywRzEXp)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/lstm.py
|
lstm
|
def lstm(inputs, sequence_length, hparams, train, name, initial_state=None):
"""Adds a stack of LSTM layers on top of input.
Args:
inputs: The input `Tensor`, shaped `[batch_size, time_steps, hidden_size]`.
sequence_length: Lengths of the actual input sequence, excluding padding; a
`Tensor` shaped `[batch_size]`.
hparams: HParams; hyperparameters.
train: bool; `True` when constructing training graph to enable dropout.
name: string; Create variable names under this scope.
initial_state: tuple of `LSTMStateTuple`s; the initial state of each layer.
Returns:
A tuple (outputs, states), where:
outputs: The output `Tensor`, shaped `[batch_size, time_steps,
hidden_size]`.
states: A tuple of `LSTMStateTuple`s; the final state of each layer.
Bidirectional LSTM returns a concatenation of last forward and backward
state, reduced to the original dimensionality.
"""
layers = [_dropout_lstm_cell(hparams, train)
for _ in range(hparams.num_hidden_layers)]
with tf.variable_scope(name):
return tf.nn.dynamic_rnn(
tf.nn.rnn_cell.MultiRNNCell(layers),
inputs,
sequence_length,
initial_state=initial_state,
dtype=tf.float32,
time_major=False)
|
python
|
def lstm(inputs, sequence_length, hparams, train, name, initial_state=None):
"""Adds a stack of LSTM layers on top of input.
Args:
inputs: The input `Tensor`, shaped `[batch_size, time_steps, hidden_size]`.
sequence_length: Lengths of the actual input sequence, excluding padding; a
`Tensor` shaped `[batch_size]`.
hparams: HParams; hyperparameters.
train: bool; `True` when constructing training graph to enable dropout.
name: string; Create variable names under this scope.
initial_state: tuple of `LSTMStateTuple`s; the initial state of each layer.
Returns:
A tuple (outputs, states), where:
outputs: The output `Tensor`, shaped `[batch_size, time_steps,
hidden_size]`.
states: A tuple of `LSTMStateTuple`s; the final state of each layer.
Bidirectional LSTM returns a concatenation of last forward and backward
state, reduced to the original dimensionality.
"""
layers = [_dropout_lstm_cell(hparams, train)
for _ in range(hparams.num_hidden_layers)]
with tf.variable_scope(name):
return tf.nn.dynamic_rnn(
tf.nn.rnn_cell.MultiRNNCell(layers),
inputs,
sequence_length,
initial_state=initial_state,
dtype=tf.float32,
time_major=False)
|
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] |
Adds a stack of LSTM layers on top of input.
Args:
inputs: The input `Tensor`, shaped `[batch_size, time_steps, hidden_size]`.
sequence_length: Lengths of the actual input sequence, excluding padding; a
`Tensor` shaped `[batch_size]`.
hparams: HParams; hyperparameters.
train: bool; `True` when constructing training graph to enable dropout.
name: string; Create variable names under this scope.
initial_state: tuple of `LSTMStateTuple`s; the initial state of each layer.
Returns:
A tuple (outputs, states), where:
outputs: The output `Tensor`, shaped `[batch_size, time_steps,
hidden_size]`.
states: A tuple of `LSTMStateTuple`s; the final state of each layer.
Bidirectional LSTM returns a concatenation of last forward and backward
state, reduced to the original dimensionality.
|
[
"Adds",
"a",
"stack",
"of",
"LSTM",
"layers",
"on",
"top",
"of",
"input",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/lstm.py#L38-L67
|
train
|
Adds a stack of LSTM layers on top of input.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1883 - 1835) + '\x6f' + chr(0b110011) + chr(0b111 + 0o57) + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b110100) + '\x35', 18749 - 18741), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000001 + 0o56) + chr(0b11000 + 0o33) + chr(1986 - 1933) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1282 - 1234) + '\157' + '\x33' + chr(53) + chr(2001 - 1948), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100 + 0o57) + '\062' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + '\x33' + chr(48) + chr(602 - 548), 0o10), ehT0Px3KOsy9(chr(48) + chr(10194 - 10083) + chr(1086 - 1035) + chr(1900 - 1845) + '\x36', 0b1000), ehT0Px3KOsy9(chr(973 - 925) + chr(0b111111 + 0o60) + chr(0b110100) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(2204 - 2151) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(0b110100) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(8831 - 8720) + chr(0b100100 + 0o17) + chr(0b11001 + 0o30) + '\067', 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + '\x31' + chr(51) + chr(2559 - 2507), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x35' + chr(1606 - 1556), 0o10), ehT0Px3KOsy9('\x30' + chr(0b101011 + 0o104) + chr(49) + chr(0b1110 + 0o46) + chr(1322 - 1268), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(0b110101) + chr(0b110100), 40610 - 40602), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(0b110011) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(200 - 89) + '\x31' + chr(50) + chr(2283 - 2228), 0b1000), ehT0Px3KOsy9(chr(607 - 559) + chr(0b110001 + 0o76) + '\x35' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\062' + chr(1547 - 1492), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11001 + 0o31) + chr(476 - 421) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101111 + 0o10) + chr(0b110101), 17216 - 17208), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + '\x31' + chr(0b1011 + 0o47) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + '\x30' + chr(2061 - 2013), 55715 - 55707), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110101) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1101 + 0o44) + '\x33' + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(6910 - 6799) + chr(643 - 592) + '\065' + chr(2135 - 2084), 0o10), ehT0Px3KOsy9(chr(1723 - 1675) + chr(0b1101111) + chr(52) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(52) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(8519 - 8408) + chr(49) + chr(52) + chr(0b101001 + 0o10), 0b1000), ehT0Px3KOsy9(chr(321 - 273) + chr(6589 - 6478) + '\x35' + '\064', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(0b111 + 0o51) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101101 + 0o102) + '\061' + chr(54) + chr(0b110001), 52971 - 52963), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + '\x32' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010101 + 0o32) + '\x31' + chr(1288 - 1234) + '\x33', 17815 - 17807), ehT0Px3KOsy9('\x30' + chr(0b100111 + 0o110) + '\x31' + chr(1185 - 1133) + chr(0b100010 + 0o21), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\x31' + chr(0b100000 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + chr(53) + chr(0b110101), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(1187 - 1138) + '\x33' + chr(380 - 330), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(53) + chr(49), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2138 - 2090) + '\x6f' + chr(53) + chr(0b10110 + 0o32), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xde'), '\x64' + chr(3980 - 3879) + chr(99) + chr(0b1101111) + '\x64' + '\x65')(chr(0b1010011 + 0o42) + chr(7037 - 6921) + '\x66' + chr(1471 - 1426) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def M4FLVuacvPuQ(vXoupepMtCXU, KpLkLOIdDwiZ, n4ljua2gi1Pr, e80gRioCjdat, AIvJRzLdDfgF, jXyGqlVq68Bb=None):
sGi5Aql23May = [a8ORaudG9Bqx(n4ljua2gi1Pr, e80gRioCjdat) for VNGQdHSFPrso in vQr8gNKaIaWE(n4ljua2gi1Pr.jZh5_pLUoOoZ)]
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x86\xc4\x9f\x84\xb3\xa4\x92E\xb7\x11x\xa0,O'), '\x64' + '\145' + '\143' + '\x6f' + chr(0b110100 + 0o60) + chr(0b111111 + 0o46))(chr(12470 - 12353) + '\x74' + chr(0b1100110) + chr(45) + '\x38'))(AIvJRzLdDfgF):
return xafqLlk3kkUe(IDJ2eXGCBCDu.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'\x94\xdc\x83\x8c\xbf\xaf\x9d\x7f\x9a\x0cu'), '\144' + chr(101) + chr(4203 - 4104) + chr(7893 - 7782) + '\144' + chr(0b1100101))(chr(117) + chr(116) + chr(102) + '\x2d' + chr(2193 - 2137)))(xafqLlk3kkUe(IDJ2eXGCBCDu.nn.rnn_cell, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\xd0\x81\x99\xbb\x94\xb0n\xab\x07w\xa3'), chr(3626 - 3526) + chr(0b1100101) + chr(99) + chr(6861 - 6750) + chr(0b1100100) + '\145')(chr(0b1000110 + 0o57) + chr(116) + '\x66' + chr(1891 - 1846) + chr(0b1010 + 0o56)))(sGi5Aql23May), vXoupepMtCXU, KpLkLOIdDwiZ, initial_state=jXyGqlVq68Bb, dtype=xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x96\xc9\x82\x8c\xa6\xf5\xcc'), chr(0b1100100) + chr(0b1 + 0o144) + chr(99) + chr(2706 - 2595) + chr(0b11110 + 0o106) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\x2d' + chr(0b111000))), time_major=ehT0Px3KOsy9(chr(48) + chr(3798 - 3687) + chr(700 - 652), 0o10))
|
tensorflow/tensor2tensor
|
tensor2tensor/models/lstm.py
|
lstm_attention_decoder
|
def lstm_attention_decoder(inputs, hparams, train, name, initial_state,
encoder_outputs, encoder_output_length,
decoder_input_length):
"""Run LSTM cell with attention on inputs of shape [batch x time x size].
Args:
inputs: The decoder input `Tensor`, shaped `[batch_size, decoder_steps,
hidden_size]`.
hparams: HParams; hyperparameters.
train: bool; `True` when constructing training graph to enable dropout.
name: string; Create variable names under this scope.
initial_state: Tuple of `LSTMStateTuple`s; the initial state of each layer.
encoder_outputs: Encoder outputs; a `Tensor` shaped `[batch_size,
encoder_steps, hidden_size]`.
encoder_output_length: Lengths of the actual encoder outputs, excluding
padding; a `Tensor` shaped `[batch_size]`.
decoder_input_length: Lengths of the actual decoder inputs, excluding
padding; a `Tensor` shaped `[batch_size]`.
Raises:
ValueError: If the hparams.attention_mechanism is anything other than
luong or bahdanau.
Returns:
The decoder output `Tensor`, shaped `[batch_size, decoder_steps,
hidden_size]`.
"""
layers = [_dropout_lstm_cell(hparams, train)
for _ in range(hparams.num_hidden_layers)]
if hparams.attention_mechanism == "luong":
attention_mechanism_class = tf.contrib.seq2seq.LuongAttention
elif hparams.attention_mechanism == "bahdanau":
attention_mechanism_class = tf.contrib.seq2seq.BahdanauAttention
else:
raise ValueError("Unknown hparams.attention_mechanism = %s, must be "
"luong or bahdanau." % hparams.attention_mechanism)
if hparams.get("max_area_width", 1) > 1:
def _area_key_value_fn(keys, values):
"""Custom fn for computing area keys and values."""
tf.logging.info("max_area_width=%d, area_key_mode=%s, area_value_mode=%s",
hparams.get("max_area_width", 1),
hparams.get("area_key_mode", "none"),
hparams.get("area_value_mode", "none"))
keys = area_attention.compute_area_key(
keys, max_area_width=hparams.get("max_area_width", 1),
mode=hparams.get("area_key_mode", "none"), name="decoder_encoder",
training=(hparams.mode == tf.estimator.ModeKeys.TRAIN))
if hparams.get("area_value_mode", "none") == "sum":
_, _, values, _, _ = area_attention.compute_area_features(
values, max_area_width=hparams.get("max_area_width", 1))
elif hparams.get("area_value_mode", "none") == "mean":
values, _, _, _, _ = area_attention.compute_area_features(
values, max_area_width=hparams.get("max_area_width", 1))
else:
raise ValueError(
"Unsupported area_value_mode: %s" % hparams.get(
"area_value_mode", "none"))
return keys, values
area_mask = area_attention.lengths_to_area_mask(
feature_length=encoder_output_length,
length=common_layers.shape_list(encoder_outputs)[1],
max_area_size=hparams.get("max_area_width", "1"))
def _area_prob_fn(score):
alignments = tf.nn.softmax(score)
alignments = tf.where(area_mask, alignments, tf.zeros_like(alignments))
alignments = tf.div(alignments, tf.reduce_sum(
alignments, axis=-1, keepdims=True))
return alignments
attention_mechanism = attention_mechanism_class(
hparams.hidden_size, encoder_outputs,
memory_sequence_length=None,
probability_fn=_area_prob_fn,
custom_key_value_fn=_area_key_value_fn)
else:
attention_mechanism = attention_mechanism_class(hparams.hidden_size,
encoder_outputs)
cell = tf.contrib.seq2seq.AttentionWrapper(
tf.nn.rnn_cell.MultiRNNCell(layers),
[attention_mechanism]*hparams.num_heads,
attention_layer_size=[hparams.attention_layer_size]*hparams.num_heads,
output_attention=(hparams.output_attention == 1))
batch_size = common_layers.shape_list(inputs)[0]
initial_state = cell.zero_state(batch_size, tf.float32).clone(
cell_state=initial_state)
with tf.variable_scope(name):
output, _ = tf.nn.dynamic_rnn(
cell,
inputs,
decoder_input_length,
initial_state=initial_state,
dtype=tf.float32,
time_major=False)
# output is [batch_size, decoder_steps, attention_size], where
# attention_size is either hparams.hidden_size (when
# hparams.output_attention is 0) or hparams.attention_layer_size (when
# hparams.output_attention is 1) times the number of attention heads.
#
# For multi-head attention project output back to hidden size.
if hparams.output_attention == 1 and hparams.num_heads > 1:
output = tf.layers.dense(output, hparams.hidden_size)
return output
|
python
|
def lstm_attention_decoder(inputs, hparams, train, name, initial_state,
encoder_outputs, encoder_output_length,
decoder_input_length):
"""Run LSTM cell with attention on inputs of shape [batch x time x size].
Args:
inputs: The decoder input `Tensor`, shaped `[batch_size, decoder_steps,
hidden_size]`.
hparams: HParams; hyperparameters.
train: bool; `True` when constructing training graph to enable dropout.
name: string; Create variable names under this scope.
initial_state: Tuple of `LSTMStateTuple`s; the initial state of each layer.
encoder_outputs: Encoder outputs; a `Tensor` shaped `[batch_size,
encoder_steps, hidden_size]`.
encoder_output_length: Lengths of the actual encoder outputs, excluding
padding; a `Tensor` shaped `[batch_size]`.
decoder_input_length: Lengths of the actual decoder inputs, excluding
padding; a `Tensor` shaped `[batch_size]`.
Raises:
ValueError: If the hparams.attention_mechanism is anything other than
luong or bahdanau.
Returns:
The decoder output `Tensor`, shaped `[batch_size, decoder_steps,
hidden_size]`.
"""
layers = [_dropout_lstm_cell(hparams, train)
for _ in range(hparams.num_hidden_layers)]
if hparams.attention_mechanism == "luong":
attention_mechanism_class = tf.contrib.seq2seq.LuongAttention
elif hparams.attention_mechanism == "bahdanau":
attention_mechanism_class = tf.contrib.seq2seq.BahdanauAttention
else:
raise ValueError("Unknown hparams.attention_mechanism = %s, must be "
"luong or bahdanau." % hparams.attention_mechanism)
if hparams.get("max_area_width", 1) > 1:
def _area_key_value_fn(keys, values):
"""Custom fn for computing area keys and values."""
tf.logging.info("max_area_width=%d, area_key_mode=%s, area_value_mode=%s",
hparams.get("max_area_width", 1),
hparams.get("area_key_mode", "none"),
hparams.get("area_value_mode", "none"))
keys = area_attention.compute_area_key(
keys, max_area_width=hparams.get("max_area_width", 1),
mode=hparams.get("area_key_mode", "none"), name="decoder_encoder",
training=(hparams.mode == tf.estimator.ModeKeys.TRAIN))
if hparams.get("area_value_mode", "none") == "sum":
_, _, values, _, _ = area_attention.compute_area_features(
values, max_area_width=hparams.get("max_area_width", 1))
elif hparams.get("area_value_mode", "none") == "mean":
values, _, _, _, _ = area_attention.compute_area_features(
values, max_area_width=hparams.get("max_area_width", 1))
else:
raise ValueError(
"Unsupported area_value_mode: %s" % hparams.get(
"area_value_mode", "none"))
return keys, values
area_mask = area_attention.lengths_to_area_mask(
feature_length=encoder_output_length,
length=common_layers.shape_list(encoder_outputs)[1],
max_area_size=hparams.get("max_area_width", "1"))
def _area_prob_fn(score):
alignments = tf.nn.softmax(score)
alignments = tf.where(area_mask, alignments, tf.zeros_like(alignments))
alignments = tf.div(alignments, tf.reduce_sum(
alignments, axis=-1, keepdims=True))
return alignments
attention_mechanism = attention_mechanism_class(
hparams.hidden_size, encoder_outputs,
memory_sequence_length=None,
probability_fn=_area_prob_fn,
custom_key_value_fn=_area_key_value_fn)
else:
attention_mechanism = attention_mechanism_class(hparams.hidden_size,
encoder_outputs)
cell = tf.contrib.seq2seq.AttentionWrapper(
tf.nn.rnn_cell.MultiRNNCell(layers),
[attention_mechanism]*hparams.num_heads,
attention_layer_size=[hparams.attention_layer_size]*hparams.num_heads,
output_attention=(hparams.output_attention == 1))
batch_size = common_layers.shape_list(inputs)[0]
initial_state = cell.zero_state(batch_size, tf.float32).clone(
cell_state=initial_state)
with tf.variable_scope(name):
output, _ = tf.nn.dynamic_rnn(
cell,
inputs,
decoder_input_length,
initial_state=initial_state,
dtype=tf.float32,
time_major=False)
# output is [batch_size, decoder_steps, attention_size], where
# attention_size is either hparams.hidden_size (when
# hparams.output_attention is 0) or hparams.attention_layer_size (when
# hparams.output_attention is 1) times the number of attention heads.
#
# For multi-head attention project output back to hidden size.
if hparams.output_attention == 1 and hparams.num_heads > 1:
output = tf.layers.dense(output, hparams.hidden_size)
return output
|
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] |
Run LSTM cell with attention on inputs of shape [batch x time x size].
Args:
inputs: The decoder input `Tensor`, shaped `[batch_size, decoder_steps,
hidden_size]`.
hparams: HParams; hyperparameters.
train: bool; `True` when constructing training graph to enable dropout.
name: string; Create variable names under this scope.
initial_state: Tuple of `LSTMStateTuple`s; the initial state of each layer.
encoder_outputs: Encoder outputs; a `Tensor` shaped `[batch_size,
encoder_steps, hidden_size]`.
encoder_output_length: Lengths of the actual encoder outputs, excluding
padding; a `Tensor` shaped `[batch_size]`.
decoder_input_length: Lengths of the actual decoder inputs, excluding
padding; a `Tensor` shaped `[batch_size]`.
Raises:
ValueError: If the hparams.attention_mechanism is anything other than
luong or bahdanau.
Returns:
The decoder output `Tensor`, shaped `[batch_size, decoder_steps,
hidden_size]`.
|
[
"Run",
"LSTM",
"cell",
"with",
"attention",
"on",
"inputs",
"of",
"shape",
"[",
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"x",
"time",
"x",
"size",
"]",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/lstm.py#L70-L174
|
train
|
Run LSTM cell with attention on inputs of shape [ batch x time x size.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\065' + chr(1499 - 1444), 12078 - 12070), ehT0Px3KOsy9('\060' + chr(7202 - 7091) + chr(967 - 916) + chr(0b110100) + chr(0b110100), 45897 - 45889), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(52) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11110 + 0o24) + chr(0b11001 + 0o35) + chr(48), 44731 - 44723), ehT0Px3KOsy9('\060' + chr(3864 - 3753) + chr(50) + chr(54) + chr(0b100110 + 0o12), 8), ehT0Px3KOsy9(chr(1654 - 1606) + chr(111) + chr(0b10011 + 0o36) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11028 - 10917) + chr(1295 - 1246) + chr(55) + chr(1761 - 1710), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b100 + 0o153) + chr(49) + chr(0b110100) + chr(52), 21592 - 21584), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b11010 + 0o125) + '\063' + chr(0b110000 + 0o5) + chr(0b110001), 57204 - 57196), ehT0Px3KOsy9(chr(922 - 874) + chr(0b100011 + 0o114) + chr(49) + chr(55) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(0b110101 + 0o2) + chr(0b11111 + 0o26), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1868 - 1819) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11011 + 0o124) + chr(0b110010) + chr(0b1110 + 0o50) + chr(0b10011 + 0o41), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(0b110100) + chr(0b110010), 8859 - 8851), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(0b110110) + chr(50), 6304 - 6296), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(54) + chr(0b101 + 0o55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(644 - 590) + chr(79 - 27), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\062' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(1796 - 1743) + chr(0b11010 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(55) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(942 - 891) + '\x31' + chr(0b110010), 30000 - 29992), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(0b1110 + 0o44) + chr(51) + chr(2702 - 2647), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + chr(0b110001) + chr(53) + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + '\x33' + '\x35' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1288 - 1240) + chr(0b1101111) + chr(554 - 505) + chr(0b110011) + '\063', 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b11100 + 0o123) + '\x33' + chr(0b110001) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101) + chr(579 - 525), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1001 + 0o50) + chr(0b110011) + '\x33', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011000 + 0o27) + chr(0b110101) + '\x31', 0o10), ehT0Px3KOsy9(chr(913 - 865) + chr(0b11101 + 0o122) + '\x31' + chr(55) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111 + 0o150) + chr(50) + '\x30', 2473 - 2465), ehT0Px3KOsy9(chr(48) + chr(0b11010 + 0o125) + '\063' + '\x31' + chr(2482 - 2427), 52416 - 52408), ehT0Px3KOsy9(chr(0b110000) + chr(0b11 + 0o154) + chr(0b110010) + chr(0b110000) + chr(0b101100 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(350 - 302) + chr(7531 - 7420) + chr(0b110011) + chr(0b110011) + chr(2038 - 1988), 0o10), ehT0Px3KOsy9('\x30' + chr(0b10010 + 0o135) + chr(0b100000 + 0o21) + chr(53) + '\x37', 8), ehT0Px3KOsy9('\x30' + chr(0b1011001 + 0o26) + chr(50) + chr(48) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(2174 - 2122), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(49) + chr(0b1110 + 0o44), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + '\064', 8), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(0b10101 + 0o36) + chr(0b100111 + 0o14), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110101 + 0o0) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'A'), chr(100) + '\x65' + '\x63' + chr(7750 - 7639) + '\144' + chr(0b1100101))('\x75' + chr(0b101010 + 0o112) + chr(797 - 695) + chr(45) + chr(0b110001 + 0o7)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def SZCLN0UMpFc1(vXoupepMtCXU, n4ljua2gi1Pr, e80gRioCjdat, AIvJRzLdDfgF, jXyGqlVq68Bb, pw5kRZGbP7zI, HxTu0zLTOEx8, Vde1RUH7Y91P):
sGi5Aql23May = [a8ORaudG9Bqx(n4ljua2gi1Pr, e80gRioCjdat) for VNGQdHSFPrso in vQr8gNKaIaWE(n4ljua2gi1Pr.jZh5_pLUoOoZ)]
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b"\x0e\x90\x14\xd5\xde|\x12\x0b\x87'\x10k\xd7\n\xd3\x1c\x1d\xe6C"), chr(0b1100100) + chr(0b11101 + 0o110) + '\143' + chr(0b1101111) + chr(0b11000 + 0o114) + chr(101))('\165' + chr(116) + chr(0b1100110) + '\x2d' + chr(56))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x03\x91\x0f\xde\xd7'), '\x64' + chr(0b1100101) + '\x63' + chr(0b10101 + 0o132) + chr(100) + chr(101))(chr(0b1110011 + 0o2) + chr(8322 - 8206) + chr(0b101 + 0o141) + chr(839 - 794) + chr(2104 - 2048)):
vYMsbLjPxQgv = IDJ2eXGCBCDu.contrib.seq2seq.LuongAttention
elif xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b"\x0e\x90\x14\xd5\xde|\x12\x0b\x87'\x10k\xd7\n\xd3\x1c\x1d\xe6C"), chr(224 - 124) + chr(101) + chr(0b110110 + 0o55) + '\x6f' + chr(2774 - 2674) + chr(0b10000 + 0o125))(chr(117) + chr(116) + chr(0b1011101 + 0o11) + '\055' + chr(0b111000))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\r\x85\x08\xd4\xd1f\x1a\x11'), chr(100) + chr(4429 - 4328) + chr(99) + '\x6f' + '\x64' + chr(101))(chr(0b1110101) + '\164' + chr(102) + '\055' + chr(1819 - 1763)):
vYMsbLjPxQgv = IDJ2eXGCBCDu.contrib.seq2seq.BahdanauAttention
else:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b':\x8a\x0b\xde\xdf\x7f\x15D\x81\x08\x1c|\xd5\x0f\xc1\\\x15\xe1Z\x98\xa4\xeb\x06\x815\x92C>J\x14q\xa1\xeb\xa9\x02\xa6!\xea9hC\xc4\r\xc5\xc3|[\x06\x8cX\x11{\xdb\x0c\xd5R\x1b\xe7\x0e\x9f\xab\xf7\x0b\x8f5\xac[u'), '\144' + chr(101) + chr(99) + chr(0b1001 + 0o146) + chr(4440 - 4340) + '\x65')(chr(3052 - 2935) + chr(6796 - 6680) + '\146' + chr(1834 - 1789) + chr(56)) % xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b"\x0e\x90\x14\xd5\xde|\x12\x0b\x87'\x10k\xd7\n\xd3\x1c\x1d\xe6C"), chr(0b101110 + 0o66) + chr(0b1001010 + 0o33) + chr(4777 - 4678) + chr(111) + '\144' + '\x65')(chr(0b1110101) + chr(9190 - 9074) + chr(6228 - 6126) + chr(0b101101) + chr(0b110111 + 0o1))))
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\x81\x14'), '\x64' + '\145' + '\x63' + chr(0b1001100 + 0o43) + chr(100) + chr(101))(chr(0b1011001 + 0o34) + chr(0b1111 + 0o145) + chr(0b1100110) + chr(0b1011 + 0o42) + chr(541 - 485)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x02\x85\x18\xef\xd1z\x1e\x05\xb6\x0f\x14j\xc0\n'), chr(100) + chr(101) + chr(0b100101 + 0o76) + chr(111) + chr(8002 - 7902) + '\x65')(chr(0b101101 + 0o110) + chr(9473 - 9357) + '\146' + chr(0b101000 + 0o5) + chr(2711 - 2655)), ehT0Px3KOsy9('\060' + chr(111) + chr(49), ord("\x08"))) > ehT0Px3KOsy9(chr(147 - 99) + chr(0b1101111) + chr(0b110001), 8):
def KybPVyPd20MS(w8H8C9ec5BO1, SPnCNu54H1db):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b"<\xd3(\xc8\xc5k\x1cS\x83\x14'e"), chr(0b1100100) + '\x65' + chr(99) + chr(0b110000 + 0o77) + '\x64' + chr(0b1100101))('\x75' + '\164' + chr(102) + chr(45) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x02\x85\x18\xef\xd1z\x1e\x05\xb6\x0f\x14j\xc0\n\x8fW\x10\xb9\x0e\x9c\xb8\xfa\x0e\xb10\xa8W\x04D\x13t\xaa\xbf\xff\x1c\xaa<\xabn~\x0e\xbb\x16\xd1\xdc}\x1e;\x84\x17\x19k\x89G\xc1'), chr(6396 - 6296) + '\145' + '\143' + chr(0b1101111) + chr(0b1100100) + '\145')('\165' + '\x74' + chr(0b1011110 + 0o10) + chr(0b101101) + '\x38'), xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\x81\x14'), chr(6176 - 6076) + chr(0b1100101) + chr(99) + chr(111) + '\x64' + '\145')(chr(12010 - 11893) + '\x74' + chr(9856 - 9754) + chr(0b100001 + 0o14) + chr(0b10 + 0o66)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x02\x85\x18\xef\xd1z\x1e\x05\xb6\x0f\x14j\xc0\n'), chr(100) + '\x65' + '\x63' + chr(0b1101111) + chr(0b11011 + 0o111) + chr(0b1100000 + 0o5))(chr(0b1000 + 0o155) + '\x74' + '\146' + chr(960 - 915) + '\x38'), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1100 + 0o143) + '\x31', 8)), xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\x81\x14'), chr(0b100011 + 0o101) + chr(101) + '\x63' + '\157' + chr(100) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(3446 - 3344) + chr(0b100110 + 0o7) + chr(0b101000 + 0o20)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\x96\x05\xd1\xefc\x1e\x1d\xb6\x15\x12j\xd1'), chr(0b1010101 + 0o17) + '\x65' + chr(99) + '\x6f' + '\x64' + chr(0b1100101))(chr(7597 - 7480) + chr(0b1110100) + '\x66' + chr(967 - 922) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\x8b\x0e\xd5'), chr(2592 - 2492) + '\x65' + chr(0b1100011) + '\x6f' + chr(0b10011 + 0o121) + chr(0b1100101))('\x75' + chr(446 - 330) + chr(0b1100110) + chr(339 - 294) + chr(0b111000))), xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\x81\x14'), '\x64' + '\145' + chr(99) + '\x6f' + '\x64' + chr(7041 - 6940))(chr(0b111001 + 0o74) + chr(116) + chr(10381 - 10279) + '\055' + chr(0b100 + 0o64)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\x96\x05\xd1\xef~\x1a\x08\x9c\x1d"c\xdb\x06\xd7'), '\144' + chr(101) + chr(7700 - 7601) + chr(0b1101111) + chr(100) + '\145')('\x75' + chr(5041 - 4925) + '\146' + '\055' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\x8b\x0e\xd5'), chr(0b1100100) + chr(101) + chr(0b1011001 + 0o12) + chr(9601 - 9490) + chr(0b1100100) + chr(0b1100101))(chr(13625 - 13508) + chr(0b101111 + 0o105) + chr(0b111000 + 0o56) + chr(0b101101) + chr(2850 - 2794))))
w8H8C9ec5BO1 = xO4GwlZ0fJXz.compute_area_key(w8H8C9ec5BO1, max_area_width=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\x02\x85\x18\xef\xd1z\x1e\x05\xb6\x0f\x14j\xc0\n'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b110101 + 0o57) + chr(101))('\165' + '\164' + '\x66' + chr(0b11100 + 0o21) + chr(1601 - 1545)), ehT0Px3KOsy9('\060' + '\157' + chr(49), 8)), mode=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\x96\x05\xd1\xefc\x1e\x1d\xb6\x15\x12j\xd1'), chr(1270 - 1170) + chr(0b1100101) + chr(0b11000 + 0o113) + '\157' + chr(9287 - 9187) + chr(9321 - 9220))('\165' + '\x74' + chr(0b1000111 + 0o37) + '\x2d' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\x8b\x0e\xd5'), chr(100) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(384 - 284) + '\145')(chr(117) + chr(0b1110100) + chr(102) + '\055' + chr(56))), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b\x81\x03\xdf\xd4m\t;\x8c\x16\x1ea\xd0\x07\xc0'), chr(7894 - 7794) + chr(101) + chr(99) + '\x6f' + chr(808 - 708) + '\145')('\x75' + chr(5515 - 5399) + chr(0b1100110) + '\055' + chr(56)), training=n4ljua2gi1Pr.mode == IDJ2eXGCBCDu.estimator.ModeKeys.TRAIN)
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\x81\x14'), chr(0b1000001 + 0o43) + chr(101) + '\143' + chr(0b1101111) + chr(0b1100100) + '\145')('\x75' + chr(0b1000101 + 0o57) + '\146' + chr(0b11 + 0o52) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\x96\x05\xd1\xef~\x1a\x08\x9c\x1d"c\xdb\x06\xd7'), chr(4127 - 4027) + chr(101) + '\x63' + '\157' + chr(0b1100100) + '\x65')(chr(0b10 + 0o163) + '\x74' + chr(0b1100110) + chr(0b100010 + 0o13) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\x8b\x0e\xd5'), chr(0b1100100) + chr(1627 - 1526) + chr(0b1001001 + 0o32) + chr(111) + chr(1857 - 1757) + '\x65')('\165' + '\x74' + '\x66' + chr(0b101101) + chr(56))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c\x91\r'), chr(0b101100 + 0o70) + chr(0b1100101) + chr(0b101110 + 0o65) + chr(111) + chr(7351 - 7251) + chr(0b100101 + 0o100))(chr(9101 - 8984) + chr(12209 - 12093) + '\146' + chr(0b101101) + chr(0b11010 + 0o36)):
(VNGQdHSFPrso, VNGQdHSFPrso, SPnCNu54H1db, VNGQdHSFPrso, VNGQdHSFPrso) = xO4GwlZ0fJXz.compute_area_features(SPnCNu54H1db, max_area_width=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\x02\x85\x18\xef\xd1z\x1e\x05\xb6\x0f\x14j\xc0\n'), chr(100) + chr(6683 - 6582) + chr(0b110 + 0o135) + '\157' + '\144' + '\145')('\x75' + chr(10613 - 10497) + chr(0b1001001 + 0o35) + '\x2d' + chr(56)), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001), 8)))
elif xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\x81\x14'), chr(0b1101 + 0o127) + chr(8648 - 8547) + '\143' + chr(111) + '\144' + '\x65')('\x75' + '\x74' + '\146' + '\x2d' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\x96\x05\xd1\xef~\x1a\x08\x9c\x1d"c\xdb\x06\xd7'), chr(0b1100100) + '\145' + chr(0b10010 + 0o121) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(4573 - 4456) + chr(116) + '\x66' + '\x2d' + chr(0b1011 + 0o55)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\x8b\x0e\xd5'), chr(3442 - 3342) + '\x65' + chr(0b1100011) + '\x6f' + chr(100) + chr(101))(chr(4513 - 4396) + chr(0b1100001 + 0o23) + '\x66' + '\055' + '\070')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x02\x81\x01\xde'), chr(0b101010 + 0o72) + chr(0b11011 + 0o112) + chr(8360 - 8261) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b11100 + 0o131) + chr(116) + chr(1329 - 1227) + chr(45) + chr(56)):
(SPnCNu54H1db, VNGQdHSFPrso, VNGQdHSFPrso, VNGQdHSFPrso, VNGQdHSFPrso) = xO4GwlZ0fJXz.compute_area_features(SPnCNu54H1db, max_area_width=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\x02\x85\x18\xef\xd1z\x1e\x05\xb6\x0f\x14j\xc0\n'), '\x64' + '\x65' + chr(7236 - 7137) + '\157' + '\x64' + chr(0b101010 + 0o73))(chr(11627 - 11510) + '\x74' + chr(0b1100110) + chr(0b11101 + 0o20) + chr(56)), ehT0Px3KOsy9(chr(48) + '\157' + chr(250 - 201), 8)))
else:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b':\x8a\x13\xc5\xc0x\x14\x16\x9d\x1d\x19.\xd5\x10\xd7\x13+\xe3O\x91\xbf\xfa0\x834\xa9Ka\tYc'), chr(0b101100 + 0o70) + chr(0b110101 + 0o60) + chr(99) + '\x6f' + '\144' + '\145')('\x75' + '\x74' + '\146' + chr(1916 - 1871) + '\x38') % xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\x81\x14'), chr(0b1100100) + chr(101) + chr(99) + '\x6f' + chr(5981 - 5881) + chr(101))(chr(117) + chr(226 - 110) + chr(0b1010 + 0o134) + '\x2d' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\x96\x05\xd1\xef~\x1a\x08\x9c\x1d"c\xdb\x06\xd7'), chr(2266 - 2166) + chr(0b1111 + 0o126) + chr(99) + chr(111) + '\144' + '\x65')(chr(117) + chr(0b1000101 + 0o57) + chr(10167 - 10065) + chr(1245 - 1200) + chr(2398 - 2342)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\x8b\x0e\xd5'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(8408 - 8297) + chr(0b1100100) + chr(0b1011010 + 0o13))(chr(0b1110101) + '\164' + chr(102) + chr(1334 - 1289) + '\x38')))
return (w8H8C9ec5BO1, SPnCNu54H1db)
QdzkvEdxd6H0 = xO4GwlZ0fJXz.lengths_to_area_mask(feature_length=HxTu0zLTOEx8, length=jSKPaHwSAfVv.shape_list(pw5kRZGbP7zI)[ehT0Px3KOsy9('\060' + chr(0b10 + 0o155) + chr(0b110000 + 0o1), 8)], max_area_size=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\x02\x85\x18\xef\xd1z\x1e\x05\xb6\x0f\x14j\xc0\n'), chr(100) + chr(0b1100101) + chr(99) + chr(111) + chr(100) + chr(1461 - 1360))(chr(0b1110101) + chr(116) + chr(7567 - 7465) + chr(1730 - 1685) + chr(1910 - 1854)), xafqLlk3kkUe(SXOLrMavuUCe(b'^'), chr(2321 - 2221) + chr(101) + chr(99) + chr(0b1101111) + chr(5843 - 5743) + '\x65')(chr(117) + '\164' + '\x66' + chr(0b101101) + chr(0b111000))))
def eu6MMP50TB7H(n9fd4FsgoqFs):
RXanBWCZupO4 = IDJ2eXGCBCDu.nn.softmax(n9fd4FsgoqFs)
RXanBWCZupO4 = IDJ2eXGCBCDu.dRFAC59yQBm_(QdzkvEdxd6H0, RXanBWCZupO4, IDJ2eXGCBCDu.zeros_like(RXanBWCZupO4))
RXanBWCZupO4 = IDJ2eXGCBCDu.div(RXanBWCZupO4, IDJ2eXGCBCDu.reduce_sum(RXanBWCZupO4, axis=-ehT0Px3KOsy9(chr(537 - 489) + '\x6f' + '\061', 8), keepdims=ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001), 8)))
return RXanBWCZupO4
dXXT4mbxc9Gf = vYMsbLjPxQgv(n4ljua2gi1Pr.qzoyXN3kdhDL, pw5kRZGbP7zI, memory_sequence_length=None, probability_fn=eu6MMP50TB7H, custom_key_value_fn=KybPVyPd20MS)
else:
dXXT4mbxc9Gf = vYMsbLjPxQgv(n4ljua2gi1Pr.qzoyXN3kdhDL, pw5kRZGbP7zI)
XQrM8eZytga5 = IDJ2eXGCBCDu.contrib.seq2seq.AttentionWrapper(IDJ2eXGCBCDu.nn.rnn_cell.MultiRNNCell(sGi5Aql23May), [dXXT4mbxc9Gf] * n4ljua2gi1Pr.vRVqPOZ1hUG7, attention_layer_size=[n4ljua2gi1Pr.attention_layer_size] * n4ljua2gi1Pr.vRVqPOZ1hUG7, output_attention=n4ljua2gi1Pr.output_attention == ehT0Px3KOsy9(chr(1752 - 1704) + chr(111) + chr(0b101010 + 0o7), 8))
ix9dZyeAmUxY = jSKPaHwSAfVv.shape_list(vXoupepMtCXU)[ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + '\060', 0b1000)]
jXyGqlVq68Bb = XQrM8eZytga5.zero_state(ix9dZyeAmUxY, IDJ2eXGCBCDu.float32).clone(cell_state=jXyGqlVq68Bb)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x19\x85\x12\xd9\xd1j\x17\x01\xb6\x0b\x1ea\xc4\x07'), '\144' + chr(101) + '\x63' + chr(10310 - 10199) + chr(0b1011100 + 0o10) + '\x65')(chr(117) + chr(13117 - 13001) + chr(7952 - 7850) + chr(0b11100 + 0o21) + chr(0b111000)))(AIvJRzLdDfgF):
(e1jVqMSBZ01Y, VNGQdHSFPrso) = IDJ2eXGCBCDu.nn.dynamic_rnn(XQrM8eZytga5, vXoupepMtCXU, Vde1RUH7Y91P, initial_state=jXyGqlVq68Bb, dtype=IDJ2eXGCBCDu.float32, time_major=ehT0Px3KOsy9(chr(48) + '\157' + '\060', 8))
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x00\x91\x14\xc0\xc5|$\x05\x9d\x0c\x18`\xc0\x0b\xdd\x1c'), chr(2029 - 1929) + chr(101) + chr(0b10011 + 0o120) + chr(3318 - 3207) + chr(4010 - 3910) + '\145')('\x75' + chr(0b1110100) + chr(0b1100110) + chr(45) + '\070')) == ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49), 8) and xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x19\xb66\xc1\xe0G!U\x81-:9'), chr(100) + chr(7545 - 7444) + chr(99) + '\x6f' + '\x64' + '\145')('\165' + '\164' + chr(102) + chr(0b101101) + chr(330 - 274))) > ehT0Px3KOsy9('\x30' + chr(0b1100000 + 0o17) + chr(470 - 421), 8):
e1jVqMSBZ01Y = IDJ2eXGCBCDu.layers.dense(e1jVqMSBZ01Y, n4ljua2gi1Pr.qzoyXN3kdhDL)
return e1jVqMSBZ01Y
|
tensorflow/tensor2tensor
|
tensor2tensor/models/lstm.py
|
lstm_seq2seq_internal
|
def lstm_seq2seq_internal(inputs, targets, hparams, train):
"""The basic LSTM seq2seq model, main step used for training."""
with tf.variable_scope("lstm_seq2seq"):
if inputs is not None:
inputs_length = common_layers.length_from_embedding(inputs)
# Flatten inputs.
inputs = common_layers.flatten4d3d(inputs)
# LSTM encoder.
inputs = tf.reverse_sequence(inputs, inputs_length, seq_axis=1)
_, final_encoder_state = lstm(inputs, inputs_length, hparams, train,
"encoder")
else:
final_encoder_state = None
# LSTM decoder.
shifted_targets = common_layers.shift_right(targets)
# Add 1 to account for the padding added to the left from shift_right
targets_length = common_layers.length_from_embedding(shifted_targets) + 1
decoder_outputs, _ = lstm(
common_layers.flatten4d3d(shifted_targets),
targets_length,
hparams,
train,
"decoder",
initial_state=final_encoder_state)
return tf.expand_dims(decoder_outputs, axis=2)
|
python
|
def lstm_seq2seq_internal(inputs, targets, hparams, train):
"""The basic LSTM seq2seq model, main step used for training."""
with tf.variable_scope("lstm_seq2seq"):
if inputs is not None:
inputs_length = common_layers.length_from_embedding(inputs)
# Flatten inputs.
inputs = common_layers.flatten4d3d(inputs)
# LSTM encoder.
inputs = tf.reverse_sequence(inputs, inputs_length, seq_axis=1)
_, final_encoder_state = lstm(inputs, inputs_length, hparams, train,
"encoder")
else:
final_encoder_state = None
# LSTM decoder.
shifted_targets = common_layers.shift_right(targets)
# Add 1 to account for the padding added to the left from shift_right
targets_length = common_layers.length_from_embedding(shifted_targets) + 1
decoder_outputs, _ = lstm(
common_layers.flatten4d3d(shifted_targets),
targets_length,
hparams,
train,
"decoder",
initial_state=final_encoder_state)
return tf.expand_dims(decoder_outputs, axis=2)
|
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] |
The basic LSTM seq2seq model, main step used for training.
|
[
"The",
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"LSTM",
"seq2seq",
"model",
"main",
"step",
"used",
"for",
"training",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/lstm.py#L177-L203
|
train
|
The basic LSTM seq2seq model main step used for training.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101101 + 0o6) + chr(53) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1669 - 1621) + '\157' + chr(49) + chr(0b110111) + '\x35', 0o10), ehT0Px3KOsy9(chr(2201 - 2153) + '\x6f' + '\x34' + chr(52), 30485 - 30477), ehT0Px3KOsy9('\x30' + chr(0b100010 + 0o115) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(53) + '\067', 8), ehT0Px3KOsy9(chr(48) + chr(0b1100111 + 0o10) + '\x33' + '\x32' + chr(0b100010 + 0o24), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1894 - 1845) + '\x31', 33705 - 33697), ehT0Px3KOsy9(chr(1496 - 1448) + chr(111) + '\066' + '\x35', 0o10), ehT0Px3KOsy9(chr(822 - 774) + chr(0b1011101 + 0o22) + '\062' + chr(54) + '\x35', 0b1000), ehT0Px3KOsy9(chr(960 - 912) + '\157' + chr(0b100100 + 0o15) + '\x37' + '\065', 8), ehT0Px3KOsy9('\x30' + '\157' + '\x36' + '\x31', 65485 - 65477), ehT0Px3KOsy9(chr(588 - 540) + chr(0b1101111) + '\x32' + chr(0b11011 + 0o31) + chr(514 - 460), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11960 - 11849) + chr(50) + '\065' + '\x31', 22019 - 22011), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + '\x33', 21683 - 21675), ehT0Px3KOsy9(chr(0b110000) + chr(10036 - 9925) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(0b11110 + 0o25) + '\064' + chr(52), 26812 - 26804), ehT0Px3KOsy9(chr(1670 - 1622) + '\157' + chr(0b100000 + 0o23) + chr(54) + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(7337 - 7226) + chr(72 - 23) + chr(2803 - 2748) + '\x30', 13581 - 13573), ehT0Px3KOsy9('\060' + chr(4650 - 4539) + chr(0b110010) + chr(1166 - 1115) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b0 + 0o157) + chr(0b100010 + 0o20) + chr(310 - 259) + chr(0b110100 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(1529 - 1481) + chr(0b1101111) + chr(1119 - 1070) + '\x34' + chr(0b110010), 49556 - 49548), ehT0Px3KOsy9(chr(1382 - 1334) + chr(0b1010 + 0o145) + chr(0b101000 + 0o13) + chr(49) + '\061', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b110000) + chr(0b11011 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x37' + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + chr(3487 - 3376) + chr(2051 - 2002) + chr(1847 - 1793) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8786 - 8675) + chr(53) + chr(55), 53801 - 53793), ehT0Px3KOsy9('\x30' + chr(0b100011 + 0o114) + '\x31' + chr(954 - 899) + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1110 + 0o141) + chr(0b111 + 0o52) + '\061', 8), ehT0Px3KOsy9(chr(457 - 409) + '\157' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + '\065' + chr(50), 25874 - 25866), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b110101) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + chr(0b101101 + 0o4) + chr(1958 - 1910) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(2111 - 2063) + chr(0b101010 + 0o105) + chr(0b110011) + chr(641 - 587) + chr(0b110101), 62799 - 62791), ehT0Px3KOsy9(chr(48) + chr(0b100010 + 0o115) + chr(0b101010 + 0o10) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(2524 - 2469) + chr(53), 9447 - 9439), ehT0Px3KOsy9('\x30' + '\x6f' + chr(84 - 35) + chr(1370 - 1320) + chr(2539 - 2486), 37175 - 37167), ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + '\061' + chr(0b101111 + 0o4) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(197 - 147) + chr(2103 - 2053) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x35' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1001000 + 0o47) + chr(0b110001) + chr(0b110111) + chr(0b110011), 50274 - 50266)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b10100 + 0o133) + '\065' + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1'), chr(100) + '\x65' + '\x63' + '\157' + chr(0b1000 + 0o134) + '\145')('\x75' + '\x74' + chr(0b110 + 0o140) + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def qsBLKeZYP5xg(vXoupepMtCXU, xIEmRseySp3z, n4ljua2gi1Pr, e80gRioCjdat):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x99\x1cVn\x8e\xb4eP\xea\x0eR\xc9\xd9f'), chr(0b1011110 + 0o6) + chr(0b1001001 + 0o34) + chr(0b1100011) + '\157' + chr(100) + chr(0b1100101))('\165' + '\164' + '\146' + chr(0b11100 + 0o21) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x0ePj\xb0\xa5lD\x87\x0eT\xd7'), chr(0b1100100) + '\x65' + chr(0b101000 + 0o73) + chr(0b1010111 + 0o30) + chr(0b1010 + 0o132) + chr(0b1100101))(chr(4815 - 4698) + chr(0b1011100 + 0o30) + chr(7592 - 7490) + chr(0b101101) + '\x38')):
if vXoupepMtCXU is not None:
iJJyHmtY1MFO = jSKPaHwSAfVv.length_from_embedding(vXoupepMtCXU)
vXoupepMtCXU = jSKPaHwSAfVv.flatten4d3d(vXoupepMtCXU)
vXoupepMtCXU = IDJ2eXGCBCDu.reverse_sequence(vXoupepMtCXU, iJJyHmtY1MFO, seq_axis=ehT0Px3KOsy9(chr(293 - 245) + '\157' + chr(49), ord("\x08")))
(VNGQdHSFPrso, gyGxWC7gUTWL) = M4FLVuacvPuQ(vXoupepMtCXU, iJJyHmtY1MFO, n4ljua2gi1Pr, e80gRioCjdat, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\x13Gh\x8b\xb3{'), '\x64' + chr(101) + chr(0b1100011) + chr(0b0 + 0o157) + '\144' + chr(0b1100101))(chr(5647 - 5530) + chr(11502 - 11386) + chr(0b101001 + 0o75) + '\x2d' + chr(0b11010 + 0o36)))
else:
gyGxWC7gUTWL = None
oyK7XSnTOkEL = jSKPaHwSAfVv.shift_right(xIEmRseySp3z)
kMOowmq3yYAM = jSKPaHwSAfVv.length_from_embedding(oyK7XSnTOkEL) + ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001), 8)
(uvnj7JF_ljAq, VNGQdHSFPrso) = M4FLVuacvPuQ(jSKPaHwSAfVv.flatten4d3d(oyK7XSnTOkEL), kMOowmq3yYAM, n4ljua2gi1Pr, e80gRioCjdat, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\x18Gh\x8b\xb3{'), chr(6493 - 6393) + chr(0b1100101) + chr(99) + chr(0b11010 + 0o125) + chr(100) + chr(0b1001000 + 0o35))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\055' + '\x38'), initial_state=gyGxWC7gUTWL)
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\x05Tf\x81\xb2VQ\xdc\x10B'), chr(8528 - 8428) + '\x65' + '\143' + chr(0b1101111) + chr(100) + chr(101))('\165' + chr(116) + chr(0b1001011 + 0o33) + chr(129 - 84) + chr(56)))(uvnj7JF_ljAq, axis=ehT0Px3KOsy9('\060' + chr(0b111011 + 0o64) + '\062', 8))
|
tensorflow/tensor2tensor
|
tensor2tensor/models/lstm.py
|
lstm_seq2seq_internal_attention
|
def lstm_seq2seq_internal_attention(inputs, targets, hparams, train,
inputs_length, targets_length):
"""LSTM seq2seq model with attention, main step used for training."""
with tf.variable_scope("lstm_seq2seq_attention"):
# Flatten inputs.
inputs = common_layers.flatten4d3d(inputs)
# LSTM encoder.
inputs = tf.reverse_sequence(inputs, inputs_length, seq_axis=1)
encoder_outputs, final_encoder_state = lstm(
inputs, inputs_length, hparams, train, "encoder")
# LSTM decoder with attention.
shifted_targets = common_layers.shift_right(targets)
# Add 1 to account for the padding added to the left from shift_right
targets_length = targets_length + 1
decoder_outputs = lstm_attention_decoder(
common_layers.flatten4d3d(shifted_targets), hparams, train, "decoder",
final_encoder_state, encoder_outputs, inputs_length, targets_length)
return tf.expand_dims(decoder_outputs, axis=2)
|
python
|
def lstm_seq2seq_internal_attention(inputs, targets, hparams, train,
inputs_length, targets_length):
"""LSTM seq2seq model with attention, main step used for training."""
with tf.variable_scope("lstm_seq2seq_attention"):
# Flatten inputs.
inputs = common_layers.flatten4d3d(inputs)
# LSTM encoder.
inputs = tf.reverse_sequence(inputs, inputs_length, seq_axis=1)
encoder_outputs, final_encoder_state = lstm(
inputs, inputs_length, hparams, train, "encoder")
# LSTM decoder with attention.
shifted_targets = common_layers.shift_right(targets)
# Add 1 to account for the padding added to the left from shift_right
targets_length = targets_length + 1
decoder_outputs = lstm_attention_decoder(
common_layers.flatten4d3d(shifted_targets), hparams, train, "decoder",
final_encoder_state, encoder_outputs, inputs_length, targets_length)
return tf.expand_dims(decoder_outputs, axis=2)
|
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"shifted_targets",
")",
",",
"hparams",
",",
"train",
",",
"\"decoder\"",
",",
"final_encoder_state",
",",
"encoder_outputs",
",",
"inputs_length",
",",
"targets_length",
")",
"return",
"tf",
".",
"expand_dims",
"(",
"decoder_outputs",
",",
"axis",
"=",
"2",
")"
] |
LSTM seq2seq model with attention, main step used for training.
|
[
"LSTM",
"seq2seq",
"model",
"with",
"attention",
"main",
"step",
"used",
"for",
"training",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/lstm.py#L206-L225
|
train
|
LSTM seq2seq model with attention main step used for training.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b111 + 0o150) + chr(0b110010) + chr(120 - 65) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + '\067' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(631 - 583) + '\157' + '\x31' + chr(1780 - 1728) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x37' + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(0b1001000 + 0o47) + chr(51) + chr(0b110000) + chr(338 - 290), 15802 - 15794), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\063' + chr(459 - 405), 0b1000), ehT0Px3KOsy9('\060' + chr(8198 - 8087) + chr(0b110010) + '\x32' + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100000 + 0o23) + chr(0b110000) + chr(48), 8), ehT0Px3KOsy9('\x30' + chr(0b110110 + 0o71) + chr(0b110011) + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b101 + 0o61) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(0b110001) + chr(1940 - 1892), 53393 - 53385), ehT0Px3KOsy9('\x30' + chr(111) + chr(732 - 681) + chr(0b10111 + 0o35) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(763 - 712) + chr(2309 - 2256) + chr(52), 0o10), ehT0Px3KOsy9(chr(1004 - 956) + chr(0b1101111) + chr(0b0 + 0o61) + '\x31' + chr(1497 - 1442), 0b1000), ehT0Px3KOsy9('\060' + chr(0b11000 + 0o127) + chr(0b110010 + 0o2) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1350 - 1301) + chr(0b110000) + chr(0b11001 + 0o36), 15996 - 15988), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + chr(0b1 + 0o61) + chr(49) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(6337 - 6226) + chr(0b110100) + chr(2071 - 2018), 28395 - 28387), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011100 + 0o23) + chr(0b11111 + 0o22) + chr(53) + '\x34', 0o10), ehT0Px3KOsy9(chr(410 - 362) + chr(5578 - 5467) + chr(0b110001) + chr(1146 - 1097) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + chr(0b11000 + 0o31) + chr(1416 - 1363) + chr(2396 - 2341), 12385 - 12377), ehT0Px3KOsy9(chr(1689 - 1641) + chr(2859 - 2748) + '\x31' + chr(51) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(54) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110110) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + '\x34' + chr(2203 - 2154), 64188 - 64180), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(0b1110 + 0o43) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10001 + 0o41) + chr(53) + chr(884 - 833), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8109 - 7998) + chr(0b110001) + chr(0b101 + 0o60), 0b1000), ehT0Px3KOsy9('\060' + chr(0b10101 + 0o132) + chr(49) + '\061' + chr(0b100101 + 0o22), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + '\x35' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(49) + chr(503 - 454), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(2279 - 2224), ord("\x08")), ehT0Px3KOsy9(chr(544 - 496) + '\157' + chr(1286 - 1235) + '\x35' + '\x36', 0o10), ehT0Px3KOsy9(chr(151 - 103) + '\157' + chr(643 - 594) + chr(2027 - 1976), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1100111 + 0o10) + chr(0b1111 + 0o43) + chr(435 - 382) + '\x36', 0b1000), ehT0Px3KOsy9(chr(1544 - 1496) + '\x6f' + chr(0b100010 + 0o21) + chr(49) + '\065', 22189 - 22181), ehT0Px3KOsy9(chr(48) + chr(0b1011101 + 0o22) + '\062' + chr(0b11 + 0o61) + '\x31', 58819 - 58811), ehT0Px3KOsy9('\x30' + chr(4027 - 3916) + chr(1454 - 1405) + chr(0b110010) + chr(73 - 20), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(49), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(242 - 194) + chr(0b1101111) + chr(2233 - 2180) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x91'), '\144' + '\145' + chr(99) + chr(0b10110 + 0o131) + chr(0b1100100) + '\145')(chr(117) + chr(116) + '\x66' + chr(691 - 646) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def isqwyknhkrHN(vXoupepMtCXU, xIEmRseySp3z, n4ljua2gi1Pr, e80gRioCjdat, iJJyHmtY1MFO, kMOowmq3yYAM):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\x9b\x14P\xa1\xbc\xfa\xa5A\x05\xeb\x89\x9c*'), chr(0b1001110 + 0o26) + chr(0b1011 + 0o132) + chr(99) + chr(12300 - 12189) + chr(0b1100100) + chr(101))(chr(12315 - 12198) + chr(116) + '\x66' + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\x89\x12T\x9f\xad\xf3\xb1,\x05\xed\x97\xb3.T3\xeaK\x18#\x004'), chr(2381 - 2281) + '\145' + chr(7844 - 7745) + chr(0b1000 + 0o147) + chr(0b1100100) + '\x65')('\x75' + chr(116) + chr(0b100111 + 0o77) + chr(45) + '\070')):
vXoupepMtCXU = jSKPaHwSAfVv.flatten4d3d(vXoupepMtCXU)
vXoupepMtCXU = IDJ2eXGCBCDu.reverse_sequence(vXoupepMtCXU, iJJyHmtY1MFO, seq_axis=ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(6691 - 6580) + chr(49), ord("\x08")))
(pw5kRZGbP7zI, gyGxWC7gUTWL) = M4FLVuacvPuQ(vXoupepMtCXU, iJJyHmtY1MFO, n4ljua2gi1Pr, e80gRioCjdat, xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\x94\x05V\xa4\xbb\xe4'), chr(100) + '\x65' + '\x63' + chr(0b110000 + 0o77) + chr(0b1100100) + '\145')('\x75' + chr(116) + chr(0b1100110) + chr(0b1100 + 0o41) + chr(0b111000)))
oyK7XSnTOkEL = jSKPaHwSAfVv.shift_right(xIEmRseySp3z)
kMOowmq3yYAM = kMOowmq3yYAM + ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11 + 0o56), 8)
uvnj7JF_ljAq = SZCLN0UMpFc1(jSKPaHwSAfVv.flatten4d3d(oyK7XSnTOkEL), n4ljua2gi1Pr, e80gRioCjdat, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb\x9f\x05V\xa4\xbb\xe4'), '\144' + chr(101) + '\x63' + '\x6f' + chr(0b1010 + 0o132) + chr(101))(chr(117) + '\x74' + '\146' + chr(1388 - 1343) + chr(0b111000)), gyGxWC7gUTWL, pw5kRZGbP7zI, iJJyHmtY1MFO, kMOowmq3yYAM)
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\x82\x16X\xae\xba\xc9\xa4w\x1b\xfb'), '\x64' + chr(0b1100101) + '\x63' + chr(0b1101111) + '\x64' + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(2762 - 2706)))(uvnj7JF_ljAq, axis=ehT0Px3KOsy9('\x30' + chr(10354 - 10243) + '\062', 55295 - 55287))
|
tensorflow/tensor2tensor
|
tensor2tensor/models/lstm.py
|
lstm_bid_encoder
|
def lstm_bid_encoder(inputs, sequence_length, hparams, train, name):
"""Bidirectional LSTM for encoding inputs that are [batch x time x size]."""
with tf.variable_scope(name):
cell_fw = tf.nn.rnn_cell.MultiRNNCell(
[_dropout_lstm_cell(hparams, train)
for _ in range(hparams.num_hidden_layers)])
cell_bw = tf.nn.rnn_cell.MultiRNNCell(
[_dropout_lstm_cell(hparams, train)
for _ in range(hparams.num_hidden_layers)])
((encoder_fw_outputs, encoder_bw_outputs),
(encoder_fw_state, encoder_bw_state)) = tf.nn.bidirectional_dynamic_rnn(
cell_fw,
cell_bw,
inputs,
sequence_length,
dtype=tf.float32,
time_major=False)
encoder_outputs = tf.concat((encoder_fw_outputs, encoder_bw_outputs), 2)
encoder_states = []
for i in range(hparams.num_hidden_layers):
if isinstance(encoder_fw_state[i], tf.nn.rnn_cell.LSTMStateTuple):
encoder_state_c = tf.concat(
values=(encoder_fw_state[i].c, encoder_bw_state[i].c),
axis=1,
name="encoder_fw_state_c")
encoder_state_h = tf.concat(
values=(encoder_fw_state[i].h, encoder_bw_state[i].h),
axis=1,
name="encoder_fw_state_h")
encoder_state = tf.nn.rnn_cell.LSTMStateTuple(
c=encoder_state_c, h=encoder_state_h)
elif isinstance(encoder_fw_state[i], tf.Tensor):
encoder_state = tf.concat(
values=(encoder_fw_state[i], encoder_bw_state[i]),
axis=1,
name="bidirectional_concat")
encoder_states.append(encoder_state)
encoder_states = tuple(encoder_states)
return encoder_outputs, encoder_states
|
python
|
def lstm_bid_encoder(inputs, sequence_length, hparams, train, name):
"""Bidirectional LSTM for encoding inputs that are [batch x time x size]."""
with tf.variable_scope(name):
cell_fw = tf.nn.rnn_cell.MultiRNNCell(
[_dropout_lstm_cell(hparams, train)
for _ in range(hparams.num_hidden_layers)])
cell_bw = tf.nn.rnn_cell.MultiRNNCell(
[_dropout_lstm_cell(hparams, train)
for _ in range(hparams.num_hidden_layers)])
((encoder_fw_outputs, encoder_bw_outputs),
(encoder_fw_state, encoder_bw_state)) = tf.nn.bidirectional_dynamic_rnn(
cell_fw,
cell_bw,
inputs,
sequence_length,
dtype=tf.float32,
time_major=False)
encoder_outputs = tf.concat((encoder_fw_outputs, encoder_bw_outputs), 2)
encoder_states = []
for i in range(hparams.num_hidden_layers):
if isinstance(encoder_fw_state[i], tf.nn.rnn_cell.LSTMStateTuple):
encoder_state_c = tf.concat(
values=(encoder_fw_state[i].c, encoder_bw_state[i].c),
axis=1,
name="encoder_fw_state_c")
encoder_state_h = tf.concat(
values=(encoder_fw_state[i].h, encoder_bw_state[i].h),
axis=1,
name="encoder_fw_state_h")
encoder_state = tf.nn.rnn_cell.LSTMStateTuple(
c=encoder_state_c, h=encoder_state_h)
elif isinstance(encoder_fw_state[i], tf.Tensor):
encoder_state = tf.concat(
values=(encoder_fw_state[i], encoder_bw_state[i]),
axis=1,
name="bidirectional_concat")
encoder_states.append(encoder_state)
encoder_states = tuple(encoder_states)
return encoder_outputs, encoder_states
|
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] |
Bidirectional LSTM for encoding inputs that are [batch x time x size].
|
[
"Bidirectional",
"LSTM",
"for",
"encoding",
"inputs",
"that",
"are",
"[",
"batch",
"x",
"time",
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"size",
"]",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/lstm.py#L228-L273
|
train
|
Bidirectional LSTM for encoding inputs that are [ batch x size ).
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(10605 - 10494) + '\061' + '\065' + chr(0b0 + 0o60), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(1722 - 1668) + chr(2004 - 1952), 3245 - 3237), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010110 + 0o31) + chr(51) + chr(0b100001 + 0o24) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(381 - 270) + chr(50) + '\x32' + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\062' + chr(144 - 94), 0b1000), ehT0Px3KOsy9(chr(1819 - 1771) + chr(8023 - 7912) + chr(51) + chr(0b10001 + 0o45) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(1600 - 1552) + chr(111) + '\063' + chr(51) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(2655 - 2601), 64856 - 64848), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\x32' + '\062', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1623 - 1572) + '\065' + chr(1413 - 1359), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(51) + chr(0b101100 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + '\061' + chr(171 - 116) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1728 - 1680) + '\x6f' + chr(1595 - 1546) + chr(0b110010) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b110110) + chr(0b10010 + 0o42), 8), ehT0Px3KOsy9(chr(1322 - 1274) + chr(0b1101111) + chr(0b110111) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(1031 - 983) + chr(111) + '\063' + chr(0b110000) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1001101 + 0o42) + chr(0b110011) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(0b110011) + chr(0b110110) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\x36' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101101 + 0o2) + '\061' + chr(0b10111 + 0o40) + chr(805 - 751), 8844 - 8836), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1532 - 1478), 63446 - 63438), ehT0Px3KOsy9(chr(0b110000) + chr(0b111100 + 0o63) + chr(0b10 + 0o61) + chr(0b110111) + chr(0b101110 + 0o2), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(0b101001 + 0o11) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1005 - 956) + '\064' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(0b110111) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1701 - 1653) + chr(111) + chr(0b101 + 0o54) + '\062' + chr(0b110100 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\065' + chr(0b101000 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(6424 - 6313) + chr(1591 - 1542) + chr(185 - 130), 0b1000), ehT0Px3KOsy9(chr(1578 - 1530) + '\157' + '\x33' + '\x30' + '\x36', 8), ehT0Px3KOsy9(chr(502 - 454) + chr(3459 - 3348) + chr(0b110011) + chr(50) + chr(0b110000), 8), ehT0Px3KOsy9(chr(389 - 341) + chr(0b1101100 + 0o3) + chr(0b110010) + chr(0b1101 + 0o47) + chr(1442 - 1392), 22294 - 22286), ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + chr(50) + chr(0b110110) + '\061', 22168 - 22160), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b110000 + 0o77) + chr(50) + '\061' + chr(0b11011 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b110011) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\065' + '\x36', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101100 + 0o5) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x36' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10011 + 0o40) + chr(0b100011 + 0o15) + '\066', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(4961 - 4850) + '\x35' + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'F'), chr(0b1100100) + '\145' + chr(99) + '\157' + '\x64' + '\145')(chr(1321 - 1204) + chr(0b1110100) + chr(0b110010 + 0o64) + '\x2d' + chr(0b100110 + 0o22)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def vLqNsvzzXXDF(vXoupepMtCXU, KpLkLOIdDwiZ, n4ljua2gi1Pr, e80gRioCjdat, AIvJRzLdDfgF):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\x95\x98\xff3\x93\xb3s\r\x9d\xbf\x16$\x91'), '\x64' + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(0b111100 + 0o51))(chr(11498 - 11381) + chr(116) + chr(7193 - 7091) + chr(0b11000 + 0o25) + '\070'))(AIvJRzLdDfgF):
s61D1KhdrHG2 = IDJ2eXGCBCDu.nn.rnn_cell.MultiRNNCell([a8ORaudG9Bqx(n4ljua2gi1Pr, e80gRioCjdat) for VNGQdHSFPrso in vQr8gNKaIaWE(n4ljua2gi1Pr.jZh5_pLUoOoZ)])
Te8NWJ5EmaFN = IDJ2eXGCBCDu.nn.rnn_cell.MultiRNNCell([a8ORaudG9Bqx(n4ljua2gi1Pr, e80gRioCjdat) for VNGQdHSFPrso in vQr8gNKaIaWE(n4ljua2gi1Pr.jZh5_pLUoOoZ)])
((aiCABS7xZwDS, PR6CtuQsS8QO), (pJBB01yET3Dr, ZWVCvFTI7VKf)) = IDJ2eXGCBCDu.nn.bidirectional_dynamic_rnn(s61D1KhdrHG2, Te8NWJ5EmaFN, vXoupepMtCXU, KpLkLOIdDwiZ, dtype=IDJ2eXGCBCDu.float32, time_major=ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110000), 0b1000))
pw5kRZGbP7zI = IDJ2eXGCBCDu.concat((aiCABS7xZwDS, PR6CtuQsS8QO), ehT0Px3KOsy9(chr(351 - 303) + chr(0b100001 + 0o116) + chr(50), 0b1000))
VNmXCK3F6Kyj = []
for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x02\xae\x82\xa3\r\x81\x93C=\xa1\xb3#'), chr(100) + chr(101) + '\143' + '\157' + chr(100) + chr(101))(chr(6771 - 6654) + chr(0b1110100) + chr(0b1100110) + chr(45) + '\x38'))):
if PlSM16l2KDPD(pJBB01yET3Dr[WVxHKyX45z_L], xafqLlk3kkUe(IDJ2eXGCBCDu.nn.rnn_cell, xafqLlk3kkUe(SXOLrMavuUCe(b'$\xa7\xbe\xdb\x01\x85\xbeb7\xba\xa9\t8\x91'), chr(0b10100 + 0o120) + '\x65' + chr(6474 - 6375) + chr(11169 - 11058) + chr(0b1000100 + 0o40) + chr(101))(chr(0b1001000 + 0o55) + chr(0b1010 + 0o152) + chr(102) + chr(1532 - 1487) + chr(0b0 + 0o70)))):
DE40VYquY7e_ = IDJ2eXGCBCDu.concat(values=(pJBB01yET3Dr[WVxHKyX45z_L].qzn1Ctg9WgNh, ZWVCvFTI7VKf[WVxHKyX45z_L].qzn1Ctg9WgNh), axis=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061', 0o10), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\r\x9a\x89\xf96\x94\xadI4\x99\x83\n \x95O\xa3En'), chr(0b1100100) + chr(0b11110 + 0o107) + chr(0b100101 + 0o76) + chr(111) + chr(0b1100100) + chr(1722 - 1621))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(45) + '\070'))
hN29HyQcRzr1 = IDJ2eXGCBCDu.concat(values=(pJBB01yET3Dr[WVxHKyX45z_L].h, ZWVCvFTI7VKf[WVxHKyX45z_L].h), axis=ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + '\x31', 8), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\r\x9a\x89\xf96\x94\xadI4\x99\x83\n \x95O\xa3Ee'), chr(0b1010 + 0o132) + chr(0b1100101) + chr(99) + '\157' + chr(100) + '\x65')(chr(7345 - 7228) + chr(12842 - 12726) + chr(0b1100110) + chr(1663 - 1618) + chr(2792 - 2736)))
Ogr9sMgNh7qn = IDJ2eXGCBCDu.nn.rnn_cell.LSTMStateTuple(c=DE40VYquY7e_, h=hN29HyQcRzr1)
elif PlSM16l2KDPD(pJBB01yET3Dr[WVxHKyX45z_L], xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'<\x91\x84\xe5=\x83'), chr(0b1100100) + '\x65' + '\143' + '\x6f' + chr(7136 - 7036) + '\x65')(chr(0b1110101) + chr(0b1101101 + 0o7) + '\x66' + '\x2d' + chr(0b11 + 0o65)))):
Ogr9sMgNh7qn = IDJ2eXGCBCDu.concat(values=(pJBB01yET3Dr[WVxHKyX45z_L], ZWVCvFTI7VKf[WVxHKyX45z_L]), axis=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49), 8), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\n\x9d\x8e\xff \x94\xbcb;\x81\xb2\x188\xabX\xa9tn\x97\xc1'), '\x64' + chr(0b1100010 + 0o3) + chr(6165 - 6066) + '\157' + chr(0b1100100) + '\145')(chr(0b10011 + 0o142) + '\x74' + chr(102) + chr(378 - 333) + chr(0b1110 + 0o52)))
xafqLlk3kkUe(VNmXCK3F6Kyj, xafqLlk3kkUe(SXOLrMavuUCe(b'\t\x84\x9a\xf3<\x95'), chr(0b1100100) + chr(0b11000 + 0o115) + '\x63' + chr(111) + '\x64' + chr(0b1100101))('\x75' + '\x74' + chr(9193 - 9091) + chr(737 - 692) + chr(0b11 + 0o65)))(Ogr9sMgNh7qn)
VNmXCK3F6Kyj = KNyTy8rYcwji(VNmXCK3F6Kyj)
return (pw5kRZGbP7zI, VNmXCK3F6Kyj)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/lstm.py
|
lstm_seq2seq_internal_bid_encoder
|
def lstm_seq2seq_internal_bid_encoder(inputs, targets, hparams, train):
"""The basic LSTM seq2seq model with bidirectional encoder."""
with tf.variable_scope("lstm_seq2seq_bid_encoder"):
if inputs is not None:
inputs_length = common_layers.length_from_embedding(inputs)
# Flatten inputs.
inputs = common_layers.flatten4d3d(inputs)
# LSTM encoder.
_, final_encoder_state = lstm_bid_encoder(
inputs, inputs_length, hparams, train, "encoder")
else:
inputs_length = None
final_encoder_state = None
# LSTM decoder.
shifted_targets = common_layers.shift_right(targets)
# Add 1 to account for the padding added to the left from shift_right
targets_length = common_layers.length_from_embedding(shifted_targets) + 1
hparams_decoder = copy.copy(hparams)
hparams_decoder.hidden_size = 2 * hparams.hidden_size
decoder_outputs, _ = lstm(
common_layers.flatten4d3d(shifted_targets),
targets_length,
hparams_decoder,
train,
"decoder",
initial_state=final_encoder_state)
return tf.expand_dims(decoder_outputs, axis=2)
|
python
|
def lstm_seq2seq_internal_bid_encoder(inputs, targets, hparams, train):
"""The basic LSTM seq2seq model with bidirectional encoder."""
with tf.variable_scope("lstm_seq2seq_bid_encoder"):
if inputs is not None:
inputs_length = common_layers.length_from_embedding(inputs)
# Flatten inputs.
inputs = common_layers.flatten4d3d(inputs)
# LSTM encoder.
_, final_encoder_state = lstm_bid_encoder(
inputs, inputs_length, hparams, train, "encoder")
else:
inputs_length = None
final_encoder_state = None
# LSTM decoder.
shifted_targets = common_layers.shift_right(targets)
# Add 1 to account for the padding added to the left from shift_right
targets_length = common_layers.length_from_embedding(shifted_targets) + 1
hparams_decoder = copy.copy(hparams)
hparams_decoder.hidden_size = 2 * hparams.hidden_size
decoder_outputs, _ = lstm(
common_layers.flatten4d3d(shifted_targets),
targets_length,
hparams_decoder,
train,
"decoder",
initial_state=final_encoder_state)
return tf.expand_dims(decoder_outputs, axis=2)
|
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"lstm_seq2seq_internal_bid_encoder",
"(",
"inputs",
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] |
The basic LSTM seq2seq model with bidirectional encoder.
|
[
"The",
"basic",
"LSTM",
"seq2seq",
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"with",
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"encoder",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/lstm.py#L276-L302
|
train
|
The basic LSTM seq2seq model with bidirectional encoder.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\157' + chr(1497 - 1447) + '\061' + chr(51), 46964 - 46956), ehT0Px3KOsy9(chr(0b110000) + chr(8817 - 8706) + chr(0b110001) + chr(0b110111) + chr(0b10111 + 0o31), 0o10), ehT0Px3KOsy9(chr(1215 - 1167) + '\x6f' + chr(0b110001) + '\x31' + chr(111 - 61), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + chr(0b110010) + chr(51) + chr(0b1001 + 0o52), 14790 - 14782), ehT0Px3KOsy9('\x30' + chr(111) + chr(54) + '\060', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(0b11110 + 0o22) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\x30' + '\x30', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b100011 + 0o17) + '\064' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1922 - 1873) + '\x30' + '\062', 33429 - 33421), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b110100 + 0o73) + chr(0b110011) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10010 + 0o135) + chr(778 - 728) + chr(55) + '\066', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(0b110010) + chr(0b101101 + 0o6), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1200 - 1149) + chr(0b110111) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(0b110101 + 0o72) + chr(54) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(54) + chr(0b101100 + 0o7), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(49) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1263 - 1213) + chr(2315 - 2265) + '\061', 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + chr(233 - 182) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(109 - 59) + chr(0b110111) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100100 + 0o13) + chr(51) + chr(0b110110) + chr(1971 - 1918), 59903 - 59895), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1010 + 0o51) + '\066' + chr(0b0 + 0o66), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4182 - 4071) + chr(0b100100 + 0o15) + '\x32' + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(0b110001) + chr(0b110010), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(1813 - 1760) + chr(0b110010 + 0o5), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + '\063' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + chr(3936 - 3825) + chr(51) + '\066' + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + '\060' + chr(1430 - 1376), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + '\x30' + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + chr(0b110001) + chr(0b101110 + 0o3) + chr(52), 39464 - 39456), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b110110) + '\x34', 50731 - 50723), ehT0Px3KOsy9('\060' + chr(111) + chr(2478 - 2428) + chr(0b110100) + chr(53), 4118 - 4110), ehT0Px3KOsy9(chr(1911 - 1863) + chr(9029 - 8918) + chr(2074 - 2021) + chr(0b110010), 18679 - 18671), ehT0Px3KOsy9(chr(2101 - 2053) + '\157' + chr(2289 - 2239) + chr(0b10011 + 0o37) + chr(1973 - 1918), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6446 - 6335) + '\x33' + '\063' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(0b110010) + '\x31' + '\064', 0o10), ehT0Px3KOsy9(chr(1754 - 1706) + '\x6f' + '\063' + chr(1414 - 1364) + chr(2149 - 2096), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11111 + 0o23) + chr(0b1011 + 0o47) + chr(0b110111), 8), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(0b110000) + chr(0b1110 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + '\064' + chr(0b110101), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(131 - 83) + chr(7234 - 7123) + chr(0b110101) + chr(0b110000), 32679 - 32671)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5'), chr(0b1001100 + 0o30) + chr(5498 - 5397) + '\x63' + chr(111) + chr(0b1100100) + chr(5920 - 5819))(chr(0b101100 + 0o111) + chr(8202 - 8086) + chr(0b111100 + 0o52) + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def i9dCkvs9Odjh(vXoupepMtCXU, xIEmRseySp3z, n4ljua2gi1Pr, e80gRioCjdat):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfd\x198\xf2Q\x7f-\xa5\xfb1y\xd1#\x9e'), chr(0b110101 + 0o57) + '\x65' + '\x63' + chr(0b1101111) + chr(100) + '\145')('\x75' + '\164' + chr(0b1000010 + 0o44) + '\x2d' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\x0b>\xf6on$\xb1\x961\x7f\xcf\x0c\x99]W\xd6\xf4v\xda\x9a\x9278'), chr(100) + chr(101) + chr(99) + chr(0b1101111) + chr(5189 - 5089) + chr(101))(chr(117) + chr(0b1101 + 0o147) + chr(0b1000101 + 0o41) + chr(0b101101) + chr(1347 - 1291))):
if vXoupepMtCXU is not None:
iJJyHmtY1MFO = jSKPaHwSAfVv.length_from_embedding(vXoupepMtCXU)
vXoupepMtCXU = jSKPaHwSAfVv.flatten4d3d(vXoupepMtCXU)
(VNGQdHSFPrso, gyGxWC7gUTWL) = vLqNsvzzXXDF(vXoupepMtCXU, iJJyHmtY1MFO, n4ljua2gi1Pr, e80gRioCjdat, xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\x16)\xf4Tx3'), chr(9960 - 9860) + '\145' + chr(99) + chr(0b1101111) + '\144' + chr(101))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b101111 + 0o11)))
else:
iJJyHmtY1MFO = None
gyGxWC7gUTWL = None
oyK7XSnTOkEL = jSKPaHwSAfVv.shift_right(xIEmRseySp3z)
kMOowmq3yYAM = jSKPaHwSAfVv.length_from_embedding(oyK7XSnTOkEL) + ehT0Px3KOsy9(chr(48) + chr(10470 - 10359) + '\061', 30091 - 30083)
H4UQSf7CMNSu = igThHS4jwVsa.igThHS4jwVsa(n4ljua2gi1Pr)
H4UQSf7CMNSu.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2178 - 2128), 46744 - 46736) * n4ljua2gi1Pr.qzoyXN3kdhDL
(uvnj7JF_ljAq, VNGQdHSFPrso) = M4FLVuacvPuQ(jSKPaHwSAfVv.flatten4d3d(oyK7XSnTOkEL), kMOowmq3yYAM, H4UQSf7CMNSu, e80gRioCjdat, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\x1d)\xf4Tx3'), chr(0b111 + 0o135) + '\145' + '\143' + chr(0b110 + 0o151) + '\x64' + '\145')(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(1693 - 1648) + chr(56)), initial_state=gyGxWC7gUTWL)
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\x00:\xfa^y\x1e\xa4\xcd/i'), chr(6334 - 6234) + chr(0b1100101) + '\x63' + chr(0b10011 + 0o134) + chr(100) + '\145')('\165' + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b1011 + 0o55)))(uvnj7JF_ljAq, axis=ehT0Px3KOsy9(chr(1301 - 1253) + '\157' + '\062', 8))
|
tensorflow/tensor2tensor
|
tensor2tensor/models/lstm.py
|
lstm_seq2seq_internal_attention_bid_encoder
|
def lstm_seq2seq_internal_attention_bid_encoder(inputs, targets, hparams,
train):
"""LSTM seq2seq model with attention, main step used for training."""
with tf.variable_scope("lstm_seq2seq_attention_bid_encoder"):
inputs_length = common_layers.length_from_embedding(inputs)
# Flatten inputs.
inputs = common_layers.flatten4d3d(inputs)
# LSTM encoder.
encoder_outputs, final_encoder_state = lstm_bid_encoder(
inputs, inputs_length, hparams, train, "encoder")
# LSTM decoder with attention
shifted_targets = common_layers.shift_right(targets)
# Add 1 to account for the padding added to the left from shift_right
targets_length = common_layers.length_from_embedding(shifted_targets) + 1
hparams_decoder = copy.copy(hparams)
hparams_decoder.hidden_size = 2 * hparams.hidden_size
decoder_outputs = lstm_attention_decoder(
common_layers.flatten4d3d(shifted_targets), hparams_decoder, train,
"decoder", final_encoder_state, encoder_outputs,
inputs_length, targets_length)
return tf.expand_dims(decoder_outputs, axis=2)
|
python
|
def lstm_seq2seq_internal_attention_bid_encoder(inputs, targets, hparams,
train):
"""LSTM seq2seq model with attention, main step used for training."""
with tf.variable_scope("lstm_seq2seq_attention_bid_encoder"):
inputs_length = common_layers.length_from_embedding(inputs)
# Flatten inputs.
inputs = common_layers.flatten4d3d(inputs)
# LSTM encoder.
encoder_outputs, final_encoder_state = lstm_bid_encoder(
inputs, inputs_length, hparams, train, "encoder")
# LSTM decoder with attention
shifted_targets = common_layers.shift_right(targets)
# Add 1 to account for the padding added to the left from shift_right
targets_length = common_layers.length_from_embedding(shifted_targets) + 1
hparams_decoder = copy.copy(hparams)
hparams_decoder.hidden_size = 2 * hparams.hidden_size
decoder_outputs = lstm_attention_decoder(
common_layers.flatten4d3d(shifted_targets), hparams_decoder, train,
"decoder", final_encoder_state, encoder_outputs,
inputs_length, targets_length)
return tf.expand_dims(decoder_outputs, axis=2)
|
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] |
LSTM seq2seq model with attention, main step used for training.
|
[
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"model",
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"step",
"used",
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"training",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/lstm.py#L305-L325
|
train
|
LSTM seq2seq model with attention.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(50) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1011 + 0o144) + '\061' + chr(54) + chr(49), 24974 - 24966), ehT0Px3KOsy9(chr(48) + '\157' + chr(1486 - 1437) + chr(0b110011) + chr(52), 0b1000), ehT0Px3KOsy9(chr(575 - 527) + '\157' + '\062' + '\067' + chr(2099 - 2044), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b1111 + 0o46) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(52) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + chr(49) + chr(2453 - 2400) + chr(55), 0b1000), ehT0Px3KOsy9(chr(1375 - 1327) + chr(8585 - 8474) + chr(0b110011) + '\064' + '\x36', 49926 - 49918), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b100101 + 0o112) + '\062' + chr(0b10011 + 0o40) + '\x33', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b101000 + 0o14) + chr(49), 8), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1011011 + 0o24) + chr(0b110010) + chr(0b1000 + 0o55) + chr(0b101001 + 0o10), 0o10), ehT0Px3KOsy9(chr(438 - 390) + '\x6f' + chr(0b110101), 4309 - 4301), ehT0Px3KOsy9(chr(441 - 393) + '\x6f' + chr(289 - 238) + chr(52) + chr(0b101111 + 0o2), 39741 - 39733), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b101 + 0o57) + chr(0b100 + 0o57), 0o10), ehT0Px3KOsy9(chr(1920 - 1872) + chr(111) + chr(2575 - 2524) + '\065' + chr(699 - 648), 201 - 193), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b110001 + 0o76) + chr(635 - 585) + '\x32' + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + '\065' + '\x35', 44503 - 44495), ehT0Px3KOsy9('\x30' + chr(310 - 199) + '\x31' + chr(0b11000 + 0o34) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b11011 + 0o124) + '\x33' + chr(1867 - 1812) + chr(0b101000 + 0o13), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1111 + 0o140) + '\x33' + '\x30' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(10908 - 10797) + chr(2931 - 2876) + chr(2281 - 2231), 0b1000), ehT0Px3KOsy9(chr(263 - 215) + chr(0b1000 + 0o147) + chr(0b100101 + 0o15) + '\x36' + chr(48), 54209 - 54201), ehT0Px3KOsy9(chr(48) + chr(0b1001000 + 0o47) + chr(50) + chr(0b110100) + chr(1765 - 1711), 0o10), ehT0Px3KOsy9(chr(740 - 692) + chr(285 - 174) + chr(50) + chr(506 - 455) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(2715 - 2604) + chr(1549 - 1499) + '\063' + '\x37', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b110000) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(0b110110 + 0o71) + '\063' + chr(0b100110 + 0o21) + '\x32', 21603 - 21595), ehT0Px3KOsy9(chr(499 - 451) + chr(111) + chr(728 - 679) + chr(0b1 + 0o61), ord("\x08")), ehT0Px3KOsy9(chr(578 - 530) + chr(0b1101111) + '\x34' + chr(0b111 + 0o60), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + '\x31' + chr(0b100111 + 0o15), 40733 - 40725), ehT0Px3KOsy9('\x30' + chr(4583 - 4472) + '\x33' + '\x37' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(0b10111 + 0o40) + '\060', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(914 - 860) + chr(1464 - 1409), 14507 - 14499), ehT0Px3KOsy9('\x30' + chr(9438 - 9327) + chr(51) + chr(0b110001) + chr(1662 - 1612), 0o10), ehT0Px3KOsy9('\060' + chr(4085 - 3974) + chr(0b110011) + chr(1446 - 1394) + chr(0b1111 + 0o41), 50262 - 50254), ehT0Px3KOsy9(chr(48) + chr(2188 - 2077) + '\061' + chr(1511 - 1459) + chr(2277 - 2223), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(479 - 424) + chr(0b10000 + 0o42), 8), ehT0Px3KOsy9(chr(0b110000) + chr(6333 - 6222) + chr(0b101100 + 0o6) + chr(53) + chr(50), 42310 - 42302), ehT0Px3KOsy9(chr(1463 - 1415) + chr(1261 - 1150) + '\063' + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x36' + '\x35', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(1105 - 1052) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9'), chr(0b1100100) + chr(101) + chr(99) + '\157' + chr(0b1100100) + '\145')('\165' + chr(6923 - 6807) + chr(7469 - 7367) + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def MFnsfbowj4hi(vXoupepMtCXU, xIEmRseySp3z, n4ljua2gi1Pr, e80gRioCjdat):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1\x10.\xd6\x8fC\x03\x83\xc4R\xcaj\x91\x86'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(5842 - 5742) + chr(0b1100101))(chr(0b111110 + 0o67) + chr(7914 - 7798) + chr(8844 - 8742) + chr(0b101010 + 0o3) + chr(1481 - 1425)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\x02(\xd2\xb1R\n\x97\xa9R\xcct\xbe\x82\x9f\xe0\x88\x0f\x8f\xaaU\xde\xf9\xfc\xf6\xa4\xa5oI/\x97\x9c\x12\xb8'), '\144' + chr(101) + chr(6224 - 6125) + chr(0b111 + 0o150) + '\x64' + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b100110 + 0o100) + chr(799 - 754) + chr(1288 - 1232))):
iJJyHmtY1MFO = jSKPaHwSAfVv.length_from_embedding(vXoupepMtCXU)
vXoupepMtCXU = jSKPaHwSAfVv.flatten4d3d(vXoupepMtCXU)
(pw5kRZGbP7zI, gyGxWC7gUTWL) = vLqNsvzzXXDF(vXoupepMtCXU, iJJyHmtY1MFO, n4ljua2gi1Pr, e80gRioCjdat, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2\x1f?\xd0\x8aD\x1d'), chr(8432 - 8332) + chr(101) + chr(7922 - 7823) + '\157' + '\x64' + '\145')('\165' + '\164' + '\146' + chr(45) + chr(56)))
oyK7XSnTOkEL = jSKPaHwSAfVv.shift_right(xIEmRseySp3z)
kMOowmq3yYAM = jSKPaHwSAfVv.length_from_embedding(oyK7XSnTOkEL) + ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(49), 0b1000)
H4UQSf7CMNSu = igThHS4jwVsa.igThHS4jwVsa(n4ljua2gi1Pr)
H4UQSf7CMNSu.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(48) + chr(6445 - 6334) + '\x32', 0o10) * n4ljua2gi1Pr.qzoyXN3kdhDL
uvnj7JF_ljAq = SZCLN0UMpFc1(jSKPaHwSAfVv.flatten4d3d(oyK7XSnTOkEL), H4UQSf7CMNSu, e80gRioCjdat, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\x14?\xd0\x8aD\x1d'), chr(327 - 227) + chr(0b1100101) + chr(0b100010 + 0o101) + '\157' + chr(0b110000 + 0o64) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(1579 - 1534) + chr(0b10010 + 0o46)), gyGxWC7gUTWL, pw5kRZGbP7zI, iJJyHmtY1MFO, kMOowmq3yYAM)
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2\t,\xde\x80E0\x82\xf2L\xda'), chr(0b1100100) + chr(9213 - 9112) + '\x63' + chr(7299 - 7188) + chr(4043 - 3943) + chr(5983 - 5882))('\165' + chr(0b1110100) + chr(102) + '\055' + chr(638 - 582)))(uvnj7JF_ljAq, axis=ehT0Px3KOsy9('\060' + chr(0b11011 + 0o124) + '\x32', 8))
|
tensorflow/tensor2tensor
|
tensor2tensor/models/lstm.py
|
lstm_seq2seq
|
def lstm_seq2seq():
"""hparams for LSTM."""
hparams = common_hparams.basic_params1()
hparams.daisy_chain_variables = False
hparams.batch_size = 1024
hparams.hidden_size = 128
hparams.num_hidden_layers = 2
hparams.initializer = "uniform_unit_scaling"
hparams.initializer_gain = 1.0
hparams.weight_decay = 0.0
return hparams
|
python
|
def lstm_seq2seq():
"""hparams for LSTM."""
hparams = common_hparams.basic_params1()
hparams.daisy_chain_variables = False
hparams.batch_size = 1024
hparams.hidden_size = 128
hparams.num_hidden_layers = 2
hparams.initializer = "uniform_unit_scaling"
hparams.initializer_gain = 1.0
hparams.weight_decay = 0.0
return hparams
|
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"0.0",
"return",
"hparams"
] |
hparams for LSTM.
|
[
"hparams",
"for",
"LSTM",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/lstm.py#L410-L420
|
train
|
Hparams for LSTM.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(980 - 932) + '\x6f' + chr(51) + chr(0b110110) + chr(2652 - 2600), 23330 - 23322), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101001 + 0o10) + '\061' + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(11249 - 11138) + '\x33' + '\x34' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + '\062' + '\x34' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + chr(50) + '\x30' + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1657 - 1607) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(1035 - 981) + chr(0b11111 + 0o24), 21472 - 21464), ehT0Px3KOsy9(chr(2213 - 2165) + chr(0b100110 + 0o111) + '\063' + chr(52) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(801 - 746), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(1075 - 1025) + chr(668 - 620) + chr(0b110110), 33750 - 33742), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110111) + chr(48), 22950 - 22942), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + '\x31' + chr(51) + chr(0b101 + 0o56), 2426 - 2418), ehT0Px3KOsy9('\060' + chr(111) + chr(2313 - 2261) + chr(0b110110), 28528 - 28520), ehT0Px3KOsy9(chr(675 - 627) + '\x6f' + chr(0b110010) + '\063' + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(409 - 355) + chr(0b100110 + 0o13), 46338 - 46330), ehT0Px3KOsy9('\x30' + chr(111) + chr(54) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + '\061' + chr(0b110 + 0o55) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(0b100011 + 0o24), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(3169 - 3058) + chr(0b101010 + 0o11) + '\060' + chr(0b11 + 0o61), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + '\063' + chr(0b101001 + 0o13) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(2271 - 2223) + chr(0b1101111) + chr(0b110010) + chr(54) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(1145 - 1097) + chr(0b1001100 + 0o43) + chr(930 - 882), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1485 - 1434) + chr(54) + chr(814 - 760), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100011 + 0o14) + chr(0b110011) + chr(55) + chr(0b11101 + 0o23), 0b1000), ehT0Px3KOsy9(chr(248 - 200) + chr(111) + chr(0b101001 + 0o12) + chr(0b100100 + 0o23) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\x33' + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\x31' + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(0b10111 + 0o130) + chr(1470 - 1416) + chr(53), 24619 - 24611), ehT0Px3KOsy9('\060' + chr(341 - 230) + chr(51) + chr(0b110010) + chr(1598 - 1550), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x37' + '\x34', 6701 - 6693), ehT0Px3KOsy9(chr(1176 - 1128) + '\x6f' + chr(49) + '\064' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010 + 0o145) + chr(0b1101 + 0o45) + chr(48) + chr(412 - 363), 0b1000), ehT0Px3KOsy9(chr(1625 - 1577) + chr(0b1100110 + 0o11) + chr(0b110 + 0o55) + '\062' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\065' + chr(0b11100 + 0o32), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100110 + 0o111) + '\067' + chr(53), 14052 - 14044), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101100 + 0o6) + chr(50) + chr(78 - 25), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10100 + 0o37) + chr(2703 - 2651) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + '\064' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10 + 0o60) + '\x33', 56744 - 56736), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + chr(0b1111 + 0o44) + chr(0b110000) + '\x30', 57524 - 57516)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + '\x35' + chr(0b11101 + 0o23), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xda'), chr(0b100101 + 0o77) + '\x65' + '\143' + '\x6f' + '\144' + '\x65')(chr(0b1010010 + 0o43) + chr(6035 - 5919) + chr(0b100011 + 0o103) + chr(0b101000 + 0o5) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def arJ6Q_LQbjmY():
n4ljua2gi1Pr = vLnG3ZpOXWXZ.basic_params1()
n4ljua2gi1Pr.m812svkc5bkk = ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110000), 8)
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\060' + '\x30' + chr(1533 - 1485), 0o10)
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\x30' + chr(677 - 629), 0o10)
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9('\x30' + '\157' + '\062', 44246 - 44238)
n4ljua2gi1Pr.kwfuYzkY5C57 = xafqLlk3kkUe(SXOLrMavuUCe(b"\x81'\x89\xc2\xe8c\xde\xbdr\xe8Q/y\xecRS2v\xaa\x84"), chr(0b10100 + 0o120) + chr(0b11101 + 0o110) + '\143' + chr(111) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(162 - 117) + chr(0b10 + 0o66))
n4ljua2gi1Pr.S1SbCBXLapw8 = 1.0
n4ljua2gi1Pr.eB4rJl6fUxw9 = 0.0
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/lstm.py
|
lstm_attention_base
|
def lstm_attention_base():
"""Base attention params."""
hparams = lstm_seq2seq()
hparams.add_hparam("attention_layer_size", hparams.hidden_size)
hparams.add_hparam("output_attention", True)
hparams.add_hparam("num_heads", 1)
return hparams
|
python
|
def lstm_attention_base():
"""Base attention params."""
hparams = lstm_seq2seq()
hparams.add_hparam("attention_layer_size", hparams.hidden_size)
hparams.add_hparam("output_attention", True)
hparams.add_hparam("num_heads", 1)
return hparams
|
[
"def",
"lstm_attention_base",
"(",
")",
":",
"hparams",
"=",
"lstm_seq2seq",
"(",
")",
"hparams",
".",
"add_hparam",
"(",
"\"attention_layer_size\"",
",",
"hparams",
".",
"hidden_size",
")",
"hparams",
".",
"add_hparam",
"(",
"\"output_attention\"",
",",
"True",
")",
"hparams",
".",
"add_hparam",
"(",
"\"num_heads\"",
",",
"1",
")",
"return",
"hparams"
] |
Base attention params.
|
[
"Base",
"attention",
"params",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/lstm.py#L423-L429
|
train
|
Base attention params.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1925 - 1877) + chr(0b10011 + 0o134) + chr(0b100100 + 0o21) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(0b1100100 + 0o13) + chr(0b110111) + chr(0b110111), 59000 - 58992), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000110 + 0o51) + chr(0b110110) + chr(0b1100 + 0o45), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(2795 - 2740) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\067' + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(53) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b10010 + 0o43) + chr(0b10100 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + '\066' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(98 - 44) + chr(2481 - 2430), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\063' + '\x32', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b100101 + 0o15) + '\x34', 3451 - 3443), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + '\x31' + chr(0b101110 + 0o6) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(653 - 605) + chr(7691 - 7580) + chr(2536 - 2485) + chr(1346 - 1296) + chr(1736 - 1682), 0b1000), ehT0Px3KOsy9(chr(1374 - 1326) + chr(111) + '\063' + chr(622 - 574) + chr(52), 0o10), ehT0Px3KOsy9(chr(1516 - 1468) + chr(10150 - 10039) + chr(51) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(49) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + '\x32' + chr(55), 50511 - 50503), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(2101 - 2048) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(2338 - 2284) + chr(833 - 783), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3136 - 3025) + chr(49) + chr(0b110011) + chr(0b11101 + 0o32), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(946 - 896) + '\064' + '\x36', 55806 - 55798), ehT0Px3KOsy9(chr(1902 - 1854) + chr(11710 - 11599) + chr(1753 - 1703) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(0b110001) + '\x36' + chr(887 - 836), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(0b110011) + chr(0b110100) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101101 + 0o102) + chr(0b110011) + chr(52) + chr(0b101001 + 0o10), 5293 - 5285), ehT0Px3KOsy9(chr(1545 - 1497) + '\157' + chr(0b110001) + chr(135 - 81) + chr(2166 - 2115), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(2265 - 2216) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110100) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10100 + 0o37) + chr(0b100100 + 0o16) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x36' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(241 - 193) + chr(111) + chr(0b101010 + 0o10) + '\x37' + chr(0b1 + 0o62), 26531 - 26523), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(0b11001 + 0o32) + chr(0b110011), 51386 - 51378), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(1417 - 1306) + chr(0b110010) + chr(0b100100 + 0o17) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1586 - 1536) + '\060' + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100011 + 0o14) + chr(50) + chr(0b101010 + 0o11), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011 + 0o0) + chr(238 - 190) + '\x34', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110111) + chr(0b110000 + 0o4), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1011 + 0o50) + chr(2261 - 2208) + '\x34', 58889 - 58881), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2749 - 2694) + chr(0b110001 + 0o2), 17789 - 17781), ehT0Px3KOsy9('\060' + chr(6927 - 6816) + chr(0b110010) + '\063' + chr(0b110001), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + chr(0b110011 + 0o2) + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x00'), chr(601 - 501) + chr(0b1100101) + chr(0b100101 + 0o76) + chr(111) + '\x64' + chr(0b1100101))(chr(0b1110101) + '\164' + chr(102) + '\055' + chr(1248 - 1192)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ODPUBp6EUhS6():
n4ljua2gi1Pr = arJ6Q_LQbjmY()
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'O[U\xa7T\x99N\x85\xd2\xb7'), chr(100) + chr(5370 - 5269) + chr(8675 - 8576) + chr(4196 - 4085) + chr(0b1001100 + 0o30) + chr(3048 - 2947))('\165' + chr(0b1110100) + '\x66' + '\055' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'OKE\x9dR\x9dF\x98\xdd\x85x\x06\xaf\xa1m\x90\xa4\xc3\x08:'), chr(100) + chr(0b1010010 + 0o23) + chr(9626 - 9527) + chr(8413 - 8302) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(0b1101 + 0o147) + chr(2346 - 2244) + '\x2d' + chr(0b111000)), xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'_E^\x81d\xa7\x1c\x9c\xd7\xb2P+'), chr(100) + '\x65' + chr(0b1100011) + chr(2544 - 2433) + '\x64' + chr(101))(chr(12987 - 12870) + chr(0b1000001 + 0o63) + '\x66' + chr(1833 - 1788) + chr(199 - 143))))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'O[U\xa7T\x99N\x85\xd2\xb7'), '\x64' + chr(9771 - 9670) + chr(0b1000100 + 0o37) + chr(1518 - 1407) + '\144' + chr(0b101100 + 0o71))('\165' + chr(646 - 530) + chr(0b11100 + 0o112) + chr(0b101101) + chr(0b100100 + 0o24)))(xafqLlk3kkUe(SXOLrMavuUCe(b'AJE\x88I\x9dp\x96\xc7\xaeq\t\xa2\xadp\xa1'), chr(3746 - 3646) + '\x65' + '\143' + '\x6f' + chr(0b1100100) + chr(0b110010 + 0o63))(chr(7052 - 6935) + chr(0b111111 + 0o65) + '\146' + '\x2d' + chr(0b111000)), ehT0Px3KOsy9(chr(48) + chr(111) + '\061', 0b1000))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'O[U\xa7T\x99N\x85\xd2\xb7'), chr(0b1100100) + chr(0b1100101) + chr(99) + '\x6f' + chr(0b1100100) + '\x65')(chr(0b10100 + 0o141) + '\x74' + '\146' + chr(0b101101) + chr(572 - 516)))(xafqLlk3kkUe(SXOLrMavuUCe(b'@J\\\xa7T\x8cN\x93\xc0'), chr(0b101110 + 0o66) + chr(0b1100101) + chr(0b1011100 + 0o7) + chr(8345 - 8234) + '\x64' + chr(4557 - 4456))(chr(0b1110101) + chr(1088 - 972) + chr(0b1100110) + chr(417 - 372) + '\070'), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001), 8))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/lstm.py
|
lstm_asr_v1
|
def lstm_asr_v1():
"""Basic LSTM Params."""
hparams = lstm_bahdanau_attention()
hparams.num_hidden_layers = 2
hparams.hidden_size = 256
hparams.batch_size = 36
hparams.max_input_seq_length = 600000
hparams.max_target_seq_length = 350
hparams.max_length = hparams.max_input_seq_length
hparams.min_length_bucket = hparams.max_input_seq_length // 2
hparams.learning_rate = 0.05
return hparams
|
python
|
def lstm_asr_v1():
"""Basic LSTM Params."""
hparams = lstm_bahdanau_attention()
hparams.num_hidden_layers = 2
hparams.hidden_size = 256
hparams.batch_size = 36
hparams.max_input_seq_length = 600000
hparams.max_target_seq_length = 350
hparams.max_length = hparams.max_input_seq_length
hparams.min_length_bucket = hparams.max_input_seq_length // 2
hparams.learning_rate = 0.05
return hparams
|
[
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"lstm_asr_v1",
"(",
")",
":",
"hparams",
"=",
"lstm_bahdanau_attention",
"(",
")",
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"num_hidden_layers",
"=",
"2",
"hparams",
".",
"hidden_size",
"=",
"256",
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".",
"batch_size",
"=",
"36",
"hparams",
".",
"max_input_seq_length",
"=",
"600000",
"hparams",
".",
"max_target_seq_length",
"=",
"350",
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"max_length",
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"max_input_seq_length",
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"min_length_bucket",
"=",
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"max_input_seq_length",
"//",
"2",
"hparams",
".",
"learning_rate",
"=",
"0.05",
"return",
"hparams"
] |
Basic LSTM Params.
|
[
"Basic",
"LSTM",
"Params",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/lstm.py#L471-L482
|
train
|
Basic LSTM Params.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1685 - 1637) + '\x6f' + '\067' + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100110 + 0o15) + chr(0b101110 + 0o5) + chr(0b110011 + 0o2), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3454 - 3343) + '\x32' + chr(2003 - 1955) + chr(2040 - 1985), 0o10), ehT0Px3KOsy9('\060' + chr(0b100001 + 0o116) + '\061' + '\060' + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(824 - 713) + '\x31' + chr(0b110111) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b100000 + 0o26) + '\064', 41256 - 41248), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(54), 0b1000), ehT0Px3KOsy9(chr(318 - 270) + chr(0b100100 + 0o113) + chr(0b110011) + chr(0b11 + 0o61) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(3635 - 3524) + chr(49) + chr(51) + chr(1297 - 1242), 12169 - 12161), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101101 + 0o2) + chr(0b1100 + 0o46) + chr(55) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1653 - 1602) + chr(2774 - 2721), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11000 + 0o127) + '\061' + chr(626 - 576) + chr(0b100010 + 0o21), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(54) + chr(0b11101 + 0o24), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(52) + chr(278 - 224), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110 + 0o151) + chr(0b110010) + '\x37' + chr(53), 56091 - 56083), ehT0Px3KOsy9('\x30' + chr(9828 - 9717) + chr(51) + '\x33' + chr(0b100 + 0o62), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\064' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(382 - 334) + chr(0b1101111) + '\061' + chr(0b110101) + chr(0b110110), 47794 - 47786), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(5200 - 5089) + chr(0b100011 + 0o16) + chr(0b110 + 0o57), 35304 - 35296), ehT0Px3KOsy9(chr(1756 - 1708) + chr(0b1011100 + 0o23) + chr(50) + '\x33' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\066' + chr(0b10 + 0o56), 16168 - 16160), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100 + 0o55) + '\060' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(753 - 705) + chr(111) + chr(0b11 + 0o62) + chr(0b110110 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(0b100 + 0o57) + chr(53) + '\063', 34345 - 34337), ehT0Px3KOsy9(chr(48) + chr(6307 - 6196) + chr(49) + chr(0b110100) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(51) + '\061', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x35' + chr(0b1010 + 0o54), 37478 - 37470), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + chr(943 - 892) + '\x35' + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10110 + 0o131) + chr(2017 - 1966) + chr(50) + chr(0b1110 + 0o50), 30425 - 30417), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(2142 - 2091), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1010 + 0o50) + chr(0b110000) + chr(958 - 905), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\x31' + chr(0b110010), 51916 - 51908), ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + chr(647 - 596) + chr(51) + '\x30', 53362 - 53354), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b101101 + 0o5) + chr(0b110000), 28184 - 28176), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(49) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\066' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(1546 - 1498) + chr(0b1101011 + 0o4) + '\063' + chr(0b110 + 0o60) + '\066', 58086 - 58078), ehT0Px3KOsy9('\060' + chr(111) + chr(91 - 39), 51723 - 51715), ehT0Px3KOsy9('\060' + chr(0b1010110 + 0o31) + chr(0b101011 + 0o6) + chr(825 - 775) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b110111) + chr(2089 - 2037), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1100000 + 0o17) + chr(261 - 208) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x15'), '\x64' + chr(0b1000001 + 0o44) + chr(2975 - 2876) + chr(0b1101111) + chr(100) + '\145')(chr(117) + chr(116) + chr(0b1100110) + chr(0b1111 + 0o36) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def tARLbMdc6lGQ():
n4ljua2gi1Pr = ehK7WW_SgGuC()
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062', 0b1000)
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9('\x30' + chr(6743 - 6632) + '\064' + chr(0b110000) + '\060', 43561 - 43553)
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(48) + chr(111) + '\x34' + '\x34', 0b1000)
n4ljua2gi1Pr.xa50HGLsAIaS = ehT0Px3KOsy9(chr(0b110000) + chr(1859 - 1748) + '\062' + chr(397 - 347) + '\062' + '\x33' + '\x37' + chr(0b110000) + chr(48), 19010 - 19002)
n4ljua2gi1Pr.uJutLB5DfPmB = ehT0Px3KOsy9(chr(135 - 87) + chr(0b111000 + 0o67) + chr(53) + '\x33' + '\x36', 62283 - 62275)
n4ljua2gi1Pr._o7pVXAdOCRy = n4ljua2gi1Pr.xa50HGLsAIaS
n4ljua2gi1Pr.lhJm4Z32JlM2 = n4ljua2gi1Pr.xa50HGLsAIaS // ehT0Px3KOsy9(chr(0b110000) + chr(11377 - 11266) + '\062', 8)
n4ljua2gi1Pr.QGSIpd_yUNzU = 0.05
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/lstm.py
|
lstm_area_attention_base
|
def lstm_area_attention_base():
"""Hparams for LSTM with area attention."""
hparams = lstm_luong_attention()
hparams.batch_size = 16384
hparams.num_hidden_layers = 2
hparams.hidden_size = 1024
hparams.num_heads = 4
hparams.dropout = 0.2
hparams.learning_rate = 0.1
hparams.max_area_width = 2
hparams.area_key_mode = "mean"
hparams.area_value_mode = "sum"
return hparams
|
python
|
def lstm_area_attention_base():
"""Hparams for LSTM with area attention."""
hparams = lstm_luong_attention()
hparams.batch_size = 16384
hparams.num_hidden_layers = 2
hparams.hidden_size = 1024
hparams.num_heads = 4
hparams.dropout = 0.2
hparams.learning_rate = 0.1
hparams.max_area_width = 2
hparams.area_key_mode = "mean"
hparams.area_value_mode = "sum"
return hparams
|
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"=",
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"hidden_size",
"=",
"1024",
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"=",
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] |
Hparams for LSTM with area attention.
|
[
"Hparams",
"for",
"LSTM",
"with",
"area",
"attention",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/lstm.py#L486-L498
|
train
|
Hparams for LSTM with area attention.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(308 - 257) + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101101 + 0o2) + chr(0b110011) + chr(0b1110 + 0o50) + chr(2205 - 2157), 436 - 428), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(52) + chr(1706 - 1654), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(682 - 632) + chr(300 - 248) + chr(2630 - 2578), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\067' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100100 + 0o17) + chr(326 - 271) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x34' + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + chr(5105 - 4994) + chr(2222 - 2171) + chr(2355 - 2306) + '\x33', 0o10), ehT0Px3KOsy9(chr(2101 - 2053) + chr(111) + '\065' + chr(2132 - 2081), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(106 - 55) + chr(51) + chr(2269 - 2215), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(728 - 674) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + '\x33' + '\x33' + chr(0b101111 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(2152 - 2104) + chr(111) + '\x33' + '\063' + '\x31', 5177 - 5169), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + '\061' + chr(51) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b100101 + 0o112) + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + '\064' + chr(602 - 550), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(461 - 413) + '\x6f' + '\061' + chr(52) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(6409 - 6298) + chr(0b101110 + 0o5) + '\061' + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(0b110101) + chr(2891 - 2836), 13140 - 13132), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100110 + 0o13) + '\061' + chr(1496 - 1441), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(1246 - 1191) + '\061', 37741 - 37733), ehT0Px3KOsy9(chr(634 - 586) + '\x6f' + '\x31' + chr(0b110010) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1934 - 1883) + chr(76 - 24) + chr(1953 - 1905), 22895 - 22887), ehT0Px3KOsy9('\060' + '\157' + chr(0b1010 + 0o51) + chr(0b10011 + 0o40), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101110 + 0o4) + chr(0b11110 + 0o30), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + chr(0b101000 + 0o12) + chr(0b110111) + chr(0b100111 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(0b110001) + chr(55) + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8168 - 8057) + chr(53) + '\061', 0o10), ehT0Px3KOsy9(chr(1540 - 1492) + '\x6f' + chr(2087 - 2037) + '\066', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100101 + 0o12) + chr(0b110001 + 0o0) + chr(0b100 + 0o56) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + chr(0b110011) + '\066' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(10536 - 10425) + chr(0b101101 + 0o7) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\x33' + chr(2044 - 1993), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1110 + 0o141) + chr(0b110010) + '\x37' + chr(49), 36269 - 36261), ehT0Px3KOsy9('\060' + chr(111) + '\063' + '\x36' + chr(649 - 598), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1010 + 0o47) + '\063' + chr(52), 44887 - 44879), ehT0Px3KOsy9(chr(2010 - 1962) + chr(0b1101111) + chr(0b110101) + chr(51), 8), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(222 - 173) + '\x35' + chr(1026 - 976), 56486 - 56478)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(386 - 333) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1'), chr(0b1001110 + 0o26) + '\x65' + chr(99) + '\x6f' + chr(581 - 481) + chr(0b111000 + 0o55))('\165' + chr(116) + chr(6975 - 6873) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def awIztnpQmwyJ():
n4ljua2gi1Pr = l5z3h8iQk_Bk()
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9('\x30' + '\157' + chr(0b1010 + 0o52) + '\x30' + '\x30' + '\x30' + '\x30', 0b1000)
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010), ord("\x08"))
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b110000) + chr(0b110000) + '\060', 0o10)
n4ljua2gi1Pr.vRVqPOZ1hUG7 = ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\064', 8)
n4ljua2gi1Pr.ag0mwEgWzjYv = 0.2
n4ljua2gi1Pr.QGSIpd_yUNzU = 0.1
n4ljua2gi1Pr.u6lkO_RiLl5P = ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11101 + 0o25), 8)
n4ljua2gi1Pr.cJKjZFYrxrad = xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\x95\x05\xca'), chr(0b1100100) + '\x65' + '\143' + '\x6f' + '\x64' + chr(0b1100101))(chr(13078 - 12961) + '\164' + chr(0b1100110) + '\x2d' + '\x38')
n4ljua2gi1Pr.Z9oQ7Tm8mGJ6 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xec\x85\t'), chr(0b1100100) + '\x65' + chr(99) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b100000 + 0o125) + chr(116) + chr(8272 - 8170) + chr(0b101101) + '\x38')
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/bin/t2t_attack.py
|
create_surrogate_run_config
|
def create_surrogate_run_config(hp):
"""Create a run config.
Args:
hp: model hyperparameters
Returns:
a run config
"""
save_ckpt_steps = max(FLAGS.iterations_per_loop, FLAGS.local_eval_frequency)
save_ckpt_secs = FLAGS.save_checkpoints_secs or None
if save_ckpt_secs:
save_ckpt_steps = None
assert FLAGS.surrogate_output_dir
# the various custom getters we have written do not play well together yet.
# TODO(noam): ask rsepassi for help here.
daisy_chain_variables = (
hp.daisy_chain_variables and hp.activation_dtype == "float32" and
hp.weight_dtype == "float32")
return trainer_lib.create_run_config(
model_name=FLAGS.model,
model_dir=os.path.expanduser(FLAGS.surrogate_output_dir),
master=FLAGS.master,
iterations_per_loop=FLAGS.iterations_per_loop,
num_shards=FLAGS.tpu_num_shards,
log_device_placement=FLAGS.log_device_placement,
save_checkpoints_steps=save_ckpt_steps,
save_checkpoints_secs=save_ckpt_secs,
keep_checkpoint_max=FLAGS.keep_checkpoint_max,
keep_checkpoint_every_n_hours=FLAGS.keep_checkpoint_every_n_hours,
num_gpus=FLAGS.worker_gpu,
gpu_order=FLAGS.gpu_order,
num_async_replicas=FLAGS.worker_replicas,
gpu_mem_fraction=FLAGS.worker_gpu_memory_fraction,
enable_graph_rewriter=FLAGS.enable_graph_rewriter,
use_tpu=FLAGS.use_tpu,
schedule=FLAGS.schedule,
no_data_parallelism=hp.no_data_parallelism,
daisy_chain_variables=daisy_chain_variables,
ps_replicas=FLAGS.ps_replicas,
ps_job=FLAGS.ps_job,
ps_gpu=FLAGS.ps_gpu,
sync=FLAGS.sync,
worker_id=FLAGS.worker_id,
worker_job=FLAGS.worker_job,
random_seed=FLAGS.random_seed,
tpu_infeed_sleep_secs=FLAGS.tpu_infeed_sleep_secs,
inter_op_parallelism_threads=FLAGS.inter_op_parallelism_threads,
log_step_count_steps=FLAGS.log_step_count_steps,
intra_op_parallelism_threads=FLAGS.intra_op_parallelism_threads)
|
python
|
def create_surrogate_run_config(hp):
"""Create a run config.
Args:
hp: model hyperparameters
Returns:
a run config
"""
save_ckpt_steps = max(FLAGS.iterations_per_loop, FLAGS.local_eval_frequency)
save_ckpt_secs = FLAGS.save_checkpoints_secs or None
if save_ckpt_secs:
save_ckpt_steps = None
assert FLAGS.surrogate_output_dir
# the various custom getters we have written do not play well together yet.
# TODO(noam): ask rsepassi for help here.
daisy_chain_variables = (
hp.daisy_chain_variables and hp.activation_dtype == "float32" and
hp.weight_dtype == "float32")
return trainer_lib.create_run_config(
model_name=FLAGS.model,
model_dir=os.path.expanduser(FLAGS.surrogate_output_dir),
master=FLAGS.master,
iterations_per_loop=FLAGS.iterations_per_loop,
num_shards=FLAGS.tpu_num_shards,
log_device_placement=FLAGS.log_device_placement,
save_checkpoints_steps=save_ckpt_steps,
save_checkpoints_secs=save_ckpt_secs,
keep_checkpoint_max=FLAGS.keep_checkpoint_max,
keep_checkpoint_every_n_hours=FLAGS.keep_checkpoint_every_n_hours,
num_gpus=FLAGS.worker_gpu,
gpu_order=FLAGS.gpu_order,
num_async_replicas=FLAGS.worker_replicas,
gpu_mem_fraction=FLAGS.worker_gpu_memory_fraction,
enable_graph_rewriter=FLAGS.enable_graph_rewriter,
use_tpu=FLAGS.use_tpu,
schedule=FLAGS.schedule,
no_data_parallelism=hp.no_data_parallelism,
daisy_chain_variables=daisy_chain_variables,
ps_replicas=FLAGS.ps_replicas,
ps_job=FLAGS.ps_job,
ps_gpu=FLAGS.ps_gpu,
sync=FLAGS.sync,
worker_id=FLAGS.worker_id,
worker_job=FLAGS.worker_job,
random_seed=FLAGS.random_seed,
tpu_infeed_sleep_secs=FLAGS.tpu_infeed_sleep_secs,
inter_op_parallelism_threads=FLAGS.inter_op_parallelism_threads,
log_step_count_steps=FLAGS.log_step_count_steps,
intra_op_parallelism_threads=FLAGS.intra_op_parallelism_threads)
|
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] |
Create a run config.
Args:
hp: model hyperparameters
Returns:
a run config
|
[
"Create",
"a",
"run",
"config",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/bin/t2t_attack.py#L83-L131
|
train
|
Create a run config for a surrogate model.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b1101 + 0o44) + '\x34', 55827 - 55819), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(2722 - 2611) + chr(0b110001) + chr(50) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1001 + 0o146) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(521 - 473) + chr(8882 - 8771) + chr(53) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1100 + 0o45), 42923 - 42915), ehT0Px3KOsy9(chr(358 - 310) + chr(0b1101111) + '\063' + chr(0b110010) + '\064', 0b1000), ehT0Px3KOsy9(chr(1071 - 1023) + '\x6f' + chr(0b101110 + 0o3) + '\x36' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011100 + 0o23) + chr(51) + chr(54) + chr(0b101110 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(529 - 481) + chr(0b1101111) + chr(0b1 + 0o60) + '\x30' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1378 - 1327) + chr(0b10000 + 0o44) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + '\063' + '\x37', 0o10), ehT0Px3KOsy9(chr(348 - 300) + chr(0b1101111) + chr(0b110001) + chr(0b100110 + 0o12) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1010 + 0o51) + '\x34' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1724 - 1674) + '\063' + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(7444 - 7333) + chr(0b101000 + 0o13) + '\x33' + chr(0b110001), 39632 - 39624), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + '\x32' + chr(1321 - 1271), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001 + 0o2) + '\x34' + '\066', 8), ehT0Px3KOsy9('\060' + chr(0b1000000 + 0o57) + '\062' + chr(74 - 21) + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(1291 - 1180) + chr(49) + '\064' + chr(48), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(52) + chr(0b110011), 59831 - 59823), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110100) + '\x30', 3578 - 3570), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b101101 + 0o102) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(1202 - 1151) + chr(1740 - 1689), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + chr(0b101011 + 0o10) + chr(0b110011) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100011 + 0o14) + '\x32' + chr(0b110010) + '\064', 6676 - 6668), ehT0Px3KOsy9('\060' + '\157' + chr(0b101011 + 0o6) + '\067' + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1454 - 1404) + '\x31' + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(257 - 207) + chr(2654 - 2602), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(0b110100) + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(5662 - 5551) + '\062' + chr(0b111 + 0o55) + chr(0b110110), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b11011 + 0o34) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b110111) + chr(0b11011 + 0o27), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(0b101100 + 0o7) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + chr(1527 - 1476) + '\x32' + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1103 - 1049) + chr(0b110000), 15229 - 15221), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + '\x35' + chr(49), 0o10), ehT0Px3KOsy9(chr(135 - 87) + chr(0b1001011 + 0o44) + chr(0b110001) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + chr(0b110111) + chr(0b100100 + 0o20), 30113 - 30105), ehT0Px3KOsy9('\060' + chr(8751 - 8640) + '\x36' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(421 - 372) + chr(50), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10101 + 0o40) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'b'), '\x64' + '\145' + chr(0b1100010 + 0o1) + chr(0b10001 + 0o136) + '\144' + '\145')(chr(0b11111 + 0o126) + chr(0b11010 + 0o132) + '\x66' + chr(0b100110 + 0o7) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def HiFHJUJahUeT(ny6shRSJO9Wm):
vBObAzLMsHeu = tsdjvlgh9gDP(vUTZFbqN0o8F.iterations_per_loop, vUTZFbqN0o8F.local_eval_frequency)
TOWMxle4LTiM = vUTZFbqN0o8F.save_checkpoints_secs or None
if TOWMxle4LTiM:
vBObAzLMsHeu = None
assert xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'?"vXn\xb3\x11\x80 \xbdp3\x92\xec\xacf\xb9\xc8\t\xd1'), chr(815 - 715) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(8180 - 8080) + chr(0b1000011 + 0o42))('\165' + chr(0b111111 + 0o65) + '\146' + chr(0b1100 + 0o41) + chr(56)))
m812svkc5bkk = ny6shRSJO9Wm.m812svkc5bkk and ny6shRSJO9Wm.n6ZCgJ7AKd3U == xafqLlk3kkUe(SXOLrMavuUCe(b'*;kKu\xe7B'), '\x64' + chr(1910 - 1809) + chr(0b1010001 + 0o22) + '\157' + chr(100) + '\145')(chr(117) + '\x74' + chr(0b1100110) + chr(0b11010 + 0o23) + chr(0b111000)) and (ny6shRSJO9Wm.weight_dtype == xafqLlk3kkUe(SXOLrMavuUCe(b'*;kKu\xe7B'), chr(100) + chr(101) + chr(0b110 + 0o135) + chr(10080 - 9969) + chr(100) + chr(0b101111 + 0o66))(chr(117) + chr(0b1110100) + '\x66' + chr(45) + chr(56)))
return xafqLlk3kkUe(KvtIAVGi33Ty, xafqLlk3kkUe(SXOLrMavuUCe(b'/%aKu\xb1/\x860\x8c@%\x89\xf2\xbf{\x81'), '\144' + '\145' + chr(0b1100011) + '\x6f' + '\144' + chr(101))(chr(0b1000100 + 0o61) + chr(0b1011100 + 0o30) + chr(102) + chr(1958 - 1913) + '\x38'))(model_name=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'\n\x1c4\\p\xae*\xc1"\xb2Qp'), '\144' + chr(0b111010 + 0o53) + '\x63' + chr(0b1101111) + chr(0b11001 + 0o113) + chr(101))('\x75' + chr(0b110011 + 0o101) + chr(102) + chr(45) + chr(56))), model_dir=xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b')/tKo\xb0\x05\x87 \x90'), chr(0b1000001 + 0o43) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(0b11001 + 0o113) + '\x65')(chr(117) + '\164' + '\x66' + chr(1524 - 1479) + '\070'))(xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'?"vXn\xb3\x11\x80 \xbdp3\x92\xec\xacf\xb9\xc8\t\xd1'), chr(0b111011 + 0o51) + chr(0b1100101) + '\x63' + '\157' + '\144' + chr(0b10001 + 0o124))('\x75' + chr(0b11010 + 0o132) + chr(0b1100101 + 0o1) + chr(0b101011 + 0o2) + '\x38'))), master=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'!6w^d\xa6'), '\144' + '\145' + '\x63' + chr(0b1101111) + chr(7805 - 7705) + '\x65')(chr(4636 - 4519) + '\164' + chr(714 - 612) + chr(0b101101) + chr(56))), iterations_per_loop=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'%#aX`\xa0\x19\x9b+\x91@6\x83\xee\x86~\x89\xc3\x10'), chr(100) + chr(4355 - 4254) + '\143' + '\157' + chr(7356 - 7256) + chr(3294 - 3193))(chr(0b1010001 + 0o44) + chr(0b1110100) + chr(2881 - 2779) + chr(0b101101) + '\070')), num_shards=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b"8'quo\xa1\x1d\xab6\x8a~4\x82\xef"), chr(0b1010100 + 0o20) + chr(9878 - 9777) + '\143' + chr(0b1001001 + 0o46) + chr(8631 - 8531) + '\145')(chr(0b110111 + 0o76) + chr(116) + chr(0b1100110) + chr(45) + chr(2005 - 1949))), log_device_placement=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b' 8cue\xb1\x06\x9d&\x87@6\x8a\xfd\xbaw\x8b\xc9\x0e\xd7'), '\144' + chr(0b1100101) + chr(99) + '\157' + chr(5120 - 5020) + chr(8404 - 8303))('\x75' + chr(116) + '\x66' + '\x2d' + '\x38')), save_checkpoints_steps=vBObAzLMsHeu, save_checkpoints_secs=TOWMxle4LTiM, keep_checkpoint_max=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b"'2aZ^\xb7\x18\x91&\x89o)\x8f\xf2\xadM\x8b\xcd\x18"), '\x64' + chr(0b1100101) + chr(0b0 + 0o143) + chr(7675 - 7564) + chr(0b1100100) + chr(0b1100101))(chr(0b101101 + 0o110) + chr(0b11100 + 0o130) + '\146' + '\055' + chr(0b101000 + 0o20))), keep_checkpoint_every_n_hours=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b"'2aZ^\xb7\x18\x91&\x89o)\x8f\xf2\xadM\x83\xda\x05\xd1YX\xb5\x83\xfc\x12\xfef\xd5"), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(10600 - 10483) + chr(9561 - 9445) + chr(0b1001010 + 0o34) + chr(0b101101) + chr(0b1100 + 0o54))), num_gpus=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b';8vAd\xa6/\x935\x97'), '\144' + chr(101) + chr(0b10010 + 0o121) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(117) + chr(116) + '\x66' + '\055' + chr(56))), gpu_order=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b"+'qun\xa6\x14\x917"), chr(4790 - 4690) + '\145' + chr(0b1000 + 0o133) + chr(111) + '\144' + '\x65')('\x75' + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(1068 - 1012))), num_async_replicas=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b';8vAd\xa6/\x86 \x92s/\x85\xfd\xaa'), chr(0b1100100) + chr(9253 - 9152) + '\143' + chr(0b1101111) + chr(5585 - 5485) + chr(0b1100101))(chr(117) + '\164' + chr(102) + '\055' + chr(421 - 365))), gpu_mem_fraction=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b';8vAd\xa6/\x935\x97@+\x83\xf1\xb6`\x9f\xf3\x06\xd1Ad\xaf\xb5\xfb\x13'), '\144' + '\x65' + chr(0b1100011) + '\157' + chr(8708 - 8608) + chr(0b100111 + 0o76))(chr(9481 - 9364) + '\164' + '\146' + '\x2d' + chr(0b10 + 0o66))), enable_graph_rewriter=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b')9eHm\xb1/\x937\x83o.\xb9\xee\xbce\x94\xc5\x14\xc6R'), '\x64' + chr(0b1100101) + chr(0b11100 + 0o107) + '\x6f' + '\x64' + chr(101))(chr(0b1110101) + chr(116) + chr(0b1100110) + '\x2d' + chr(0b111000))), use_tpu=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'9$auu\xa4\x05'), '\x64' + chr(101) + chr(0b1100011) + '\x6f' + chr(7721 - 7621) + '\x65')(chr(6881 - 6764) + '\164' + chr(2963 - 2861) + chr(45) + chr(56))), schedule=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'?4lOe\xa1\x1c\x91'), chr(100) + '\145' + chr(99) + '\157' + chr(100) + chr(0b1000010 + 0o43))(chr(6750 - 6633) + chr(116) + chr(0b11000 + 0o116) + chr(659 - 614) + chr(56))), no_data_parallelism=xafqLlk3kkUe(ny6shRSJO9Wm, xafqLlk3kkUe(SXOLrMavuUCe(b'-?J\x1cX\x8d\x1d\xcd\x0b\xa8K4'), '\x64' + chr(0b1001 + 0o134) + chr(703 - 604) + chr(111) + chr(0b10111 + 0o115) + chr(0b110011 + 0o62))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(0b11110 + 0o17) + chr(0b111000))), daisy_chain_variables=m812svkc5bkk, ps_replicas=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'<$[Xd\xa4\x1c\x9d&\x83l'), chr(100) + chr(101) + chr(99) + '\157' + '\144' + '\x65')('\165' + chr(0b1110100) + chr(3176 - 3074) + chr(45) + '\070')), ps_job=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'<$[@n\xb6'), '\144' + chr(708 - 607) + '\143' + chr(0b1101111) + '\144' + chr(0b1100101))('\165' + chr(0b11110 + 0o126) + '\x66' + chr(0b100111 + 0o6) + chr(0b100010 + 0o26))), ps_gpu=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'<$[Mq\xa1'), chr(3712 - 3612) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(100) + '\x65')(chr(0b1110101) + chr(116) + chr(0b1100110) + '\055' + chr(0b111000))), sync=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'?.jI'), chr(100) + chr(0b1100101) + chr(0b1011000 + 0o13) + '\157' + chr(0b1100100) + '\145')(chr(117) + '\164' + '\x66' + '\055' + '\x38')), worker_id=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b';8vAd\xa6/\x9d!'), chr(100) + '\x65' + chr(1060 - 961) + chr(0b1101111) + chr(3160 - 3060) + chr(0b1 + 0o144))(chr(0b1011100 + 0o31) + '\x74' + '\146' + chr(0b11000 + 0o25) + '\x38')), worker_job=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b';8vAd\xa6/\x9e*\x80'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\157' + chr(100) + chr(101))('\x75' + chr(0b1110000 + 0o4) + chr(0b1100110) + chr(0b11 + 0o52) + chr(210 - 154))), random_seed=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'>6jNn\xb9/\x87 \x87{'), '\x64' + '\145' + chr(3481 - 3382) + '\x6f' + '\144' + chr(0b1100101))(chr(10503 - 10386) + '\164' + chr(0b1110 + 0o130) + chr(1661 - 1616) + '\x38')), tpu_infeed_sleep_secs=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b"8'quh\xba\x16\x91 \x86@5\x8a\xf9\xbcb\xb9\xdf\x05\xc0S"), chr(5609 - 5509) + '\x65' + chr(0b1100011) + chr(0b110011 + 0o74) + chr(0b1100100) + chr(0b1000 + 0o135))(chr(2554 - 2437) + chr(0b1000011 + 0o61) + chr(0b1001000 + 0o36) + chr(45) + '\070')), inter_op_parallelism_threads=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'%9pOs\x8b\x1f\x84\x1a\x92~4\x87\xf0\xb5w\x8a\xc5\x13\xce\x7fs\xb3\xae\xf1\x1c\xefg'), '\x64' + '\145' + chr(0b100010 + 0o101) + chr(0b1001000 + 0o47) + '\x64' + chr(0b1100101))('\x75' + chr(0b11 + 0o161) + '\146' + '\055' + chr(0b110 + 0o62))), log_step_count_steps=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b' 8cur\xa0\x15\x84\x1a\x81p3\x88\xe8\x86a\x92\xc9\x10\xd0'), chr(0b1100100) + '\145' + chr(2767 - 2668) + '\x6f' + chr(0b1100010 + 0o2) + chr(101))('\x75' + '\x74' + '\x66' + '\055' + chr(56))), intra_op_parallelism_threads=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'%9pX`\x8b\x1f\x84\x1a\x92~4\x87\xf0\xb5w\x8a\xc5\x13\xce\x7fs\xb3\xae\xf1\x1c\xefg'), chr(0b1100100) + chr(0b1011101 + 0o10) + chr(5440 - 5341) + '\157' + '\x64' + '\145')('\x75' + chr(116) + chr(0b1100110) + chr(0b101101) + '\070')))
|
tensorflow/tensor2tensor
|
tensor2tensor/bin/t2t_attack.py
|
prepare_data
|
def prepare_data(problem, hparams, params, config):
"""Construct input pipeline."""
input_fn = problem.make_estimator_input_fn(
tf.estimator.ModeKeys.EVAL, hparams, force_repeat=True)
dataset = input_fn(params, config)
features, _ = dataset.make_one_shot_iterator().get_next()
inputs, labels = features["targets"], features["inputs"]
inputs = tf.to_float(inputs)
input_shape = inputs.shape.as_list()
inputs = tf.reshape(inputs, [hparams.batch_size] + input_shape[1:])
labels = tf.reshape(labels, [hparams.batch_size])
return inputs, labels, features
|
python
|
def prepare_data(problem, hparams, params, config):
"""Construct input pipeline."""
input_fn = problem.make_estimator_input_fn(
tf.estimator.ModeKeys.EVAL, hparams, force_repeat=True)
dataset = input_fn(params, config)
features, _ = dataset.make_one_shot_iterator().get_next()
inputs, labels = features["targets"], features["inputs"]
inputs = tf.to_float(inputs)
input_shape = inputs.shape.as_list()
inputs = tf.reshape(inputs, [hparams.batch_size] + input_shape[1:])
labels = tf.reshape(labels, [hparams.batch_size])
return inputs, labels, features
|
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] |
Construct input pipeline.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/bin/t2t_attack.py#L134-L145
|
train
|
Construct input pipeline.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + '\x37' + chr(0b1001 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b100000 + 0o117) + chr(425 - 373) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + '\x37' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\065' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\060' + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(53), 8), ehT0Px3KOsy9(chr(48) + chr(6782 - 6671) + chr(1375 - 1324) + '\x37' + chr(0b100010 + 0o20), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x36' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b11110 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(1669 - 1621) + chr(0b1101111) + chr(0b110001) + chr(50) + chr(0b1001 + 0o52), 40848 - 40840), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + chr(0b110010) + '\067' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + '\065' + chr(0b10100 + 0o36), 13235 - 13227), ehT0Px3KOsy9(chr(48) + chr(111) + '\065', 0o10), ehT0Px3KOsy9(chr(49 - 1) + '\x6f' + chr(0b110100) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b111 + 0o54) + chr(0b10011 + 0o44) + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x37' + chr(0b110101), 56045 - 56037), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(0b110010 + 0o0) + chr(0b100011 + 0o21), 0b1000), ehT0Px3KOsy9(chr(2119 - 2071) + chr(111) + '\063' + chr(0b110111) + chr(1963 - 1910), 8), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + '\062' + chr(48) + '\x36', 33019 - 33011), ehT0Px3KOsy9(chr(1666 - 1618) + chr(0b1000010 + 0o55) + chr(0b110011) + chr(167 - 114) + chr(1237 - 1183), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\062' + '\x36', 2896 - 2888), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + chr(850 - 800) + chr(772 - 720) + '\064', 30192 - 30184), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b110001), 62396 - 62388), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + chr(0b110010) + chr(831 - 776) + chr(0b10001 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(0b110000) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(2291 - 2238), 0o10), ehT0Px3KOsy9(chr(1479 - 1431) + chr(111) + chr(0b10010 + 0o40) + chr(0b100010 + 0o21) + '\067', 13483 - 13475), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100100 + 0o15) + '\x34' + chr(998 - 946), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(48) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + chr(0b10 + 0o60) + chr(779 - 730) + '\066', 62615 - 62607), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(51) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101) + chr(0b110011), 42148 - 42140), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010011 + 0o34) + chr(0b11111 + 0o27) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b110000) + chr(1742 - 1694), 8), ehT0Px3KOsy9(chr(1442 - 1394) + chr(8518 - 8407) + '\064' + chr(51), 8), ehT0Px3KOsy9('\x30' + chr(0b100111 + 0o110) + '\062' + chr(0b10 + 0o61) + chr(0b110010), 34761 - 34753), ehT0Px3KOsy9('\060' + chr(10709 - 10598) + chr(1696 - 1646) + chr(52) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11 + 0o56) + chr(1269 - 1217) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11254 - 11143) + '\062' + '\x31', 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + '\065' + '\x30', 62524 - 62516)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x10'), chr(0b101 + 0o137) + chr(625 - 524) + chr(4320 - 4221) + '\x6f' + '\x64' + chr(5984 - 5883))(chr(117) + '\164' + chr(0b1101 + 0o131) + '\055' + chr(0b1101 + 0o53)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def DVkwjNT909jC(sO7e1A_Mor6Q, n4ljua2gi1Pr, nEbJZ4wfte2w, jAj7S20Ct06o):
MVwQV4Upte2X = sO7e1A_Mor6Q.make_estimator_input_fn(IDJ2eXGCBCDu.estimator.ModeKeys.EVAL, n4ljua2gi1Pr, force_repeat=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001), 0o10))
xQt6gV9VfTO3 = MVwQV4Upte2X(nEbJZ4wfte2w, jAj7S20Ct06o)
(EEf4r9nUvta_, VNGQdHSFPrso) = xQt6gV9VfTO3.make_one_shot_iterator().get_next()
(vXoupepMtCXU, uXMK81tmdpTM) = (EEf4r9nUvta_[xafqLlk3kkUe(SXOLrMavuUCe(b'JBJK af'), chr(9546 - 9446) + '\145' + '\x63' + '\157' + '\144' + '\145')(chr(0b1110101) + '\x74' + '\x66' + '\055' + '\070')], EEf4r9nUvta_[xafqLlk3kkUe(SXOLrMavuUCe(b'WMHY1f'), chr(0b1100100) + chr(101) + chr(99) + chr(111) + chr(0b1100100) + chr(101))(chr(12888 - 12771) + chr(0b1101001 + 0o13) + '\x66' + '\x2d' + chr(0b11011 + 0o35))])
vXoupepMtCXU = IDJ2eXGCBCDu.to_float(vXoupepMtCXU)
tANyZeuTfu5y = vXoupepMtCXU.shape.as_list()
vXoupepMtCXU = IDJ2eXGCBCDu.reshape(vXoupepMtCXU, [n4ljua2gi1Pr.ix9dZyeAmUxY] + tANyZeuTfu5y[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100101 + 0o14), 8):])
uXMK81tmdpTM = IDJ2eXGCBCDu.reshape(uXMK81tmdpTM, [n4ljua2gi1Pr.ix9dZyeAmUxY])
return (vXoupepMtCXU, uXMK81tmdpTM, EEf4r9nUvta_)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/audio_encoder.py
|
AudioEncoder.encode
|
def encode(self, s):
"""Transform a string with a filename into a list of float32.
Args:
s: path to the file with a waveform.
Returns:
samples: list of int16s
"""
# Make sure that the data is a single channel, 16bit, 16kHz wave.
# TODO(chorowski): the directory may not be writable, this should fallback
# to a temp path, and provide instructions for installing sox.
if s.endswith(".mp3"):
# TODO(dliebling) On Linux, check if libsox-fmt-mp3 is installed.
out_filepath = s[:-4] + ".wav"
call([
"sox", "--guard", s, "-r", "16k", "-b", "16", "-c", "1", out_filepath
])
s = out_filepath
elif not s.endswith(".wav"):
out_filepath = s + ".wav"
if not os.path.exists(out_filepath):
call(["sox", "-r", "16k", "-b", "16", "-c", "1", s, out_filepath])
s = out_filepath
rate, data = wavfile.read(s)
assert rate == self._sample_rate
assert len(data.shape) == 1
if data.dtype not in [np.float32, np.float64]:
data = data.astype(np.float32) / np.iinfo(data.dtype).max
return data.tolist()
|
python
|
def encode(self, s):
"""Transform a string with a filename into a list of float32.
Args:
s: path to the file with a waveform.
Returns:
samples: list of int16s
"""
# Make sure that the data is a single channel, 16bit, 16kHz wave.
# TODO(chorowski): the directory may not be writable, this should fallback
# to a temp path, and provide instructions for installing sox.
if s.endswith(".mp3"):
# TODO(dliebling) On Linux, check if libsox-fmt-mp3 is installed.
out_filepath = s[:-4] + ".wav"
call([
"sox", "--guard", s, "-r", "16k", "-b", "16", "-c", "1", out_filepath
])
s = out_filepath
elif not s.endswith(".wav"):
out_filepath = s + ".wav"
if not os.path.exists(out_filepath):
call(["sox", "-r", "16k", "-b", "16", "-c", "1", s, out_filepath])
s = out_filepath
rate, data = wavfile.read(s)
assert rate == self._sample_rate
assert len(data.shape) == 1
if data.dtype not in [np.float32, np.float64]:
data = data.astype(np.float32) / np.iinfo(data.dtype).max
return data.tolist()
|
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] |
Transform a string with a filename into a list of float32.
Args:
s: path to the file with a waveform.
Returns:
samples: list of int16s
|
[
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/audio_encoder.py#L36-L65
|
train
|
Transform a string with a filename into a list of float32.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + '\x31' + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + '\x33' + chr(0b1100 + 0o52), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(600 - 551) + chr(0b110000 + 0o0) + chr(0b100111 + 0o12), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1796 - 1747) + chr(50) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(0b11000 + 0o30) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000110 + 0o51) + chr(0b110100) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011111 + 0o20) + chr(0b100011 + 0o20) + '\x34' + chr(1919 - 1869), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b110111) + chr(792 - 740), 12042 - 12034), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11111 + 0o23) + '\x35' + chr(0b11110 + 0o22), 50665 - 50657), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + '\x31' + chr(815 - 762) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011001 + 0o26) + chr(0b110110) + chr(254 - 200), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(1938 - 1884) + chr(0b110001), 9549 - 9541), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101 + 0o142) + chr(0b10101 + 0o36) + '\x37' + '\x31', 1655 - 1647), ehT0Px3KOsy9(chr(1139 - 1091) + chr(845 - 734) + chr(1197 - 1148) + chr(0b110010 + 0o3) + chr(1995 - 1940), 56980 - 56972), ehT0Px3KOsy9(chr(1866 - 1818) + '\157' + chr(0b100011 + 0o16) + '\060' + '\063', 31130 - 31122), ehT0Px3KOsy9(chr(0b110000) + chr(0b111111 + 0o60) + chr(1749 - 1700) + chr(0b1111 + 0o41) + '\x35', 45638 - 45630), ehT0Px3KOsy9('\x30' + chr(0b110100 + 0o73) + chr(0b110 + 0o53) + chr(51) + '\063', 59132 - 59124), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(239 - 185) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(0b110001) + '\067' + chr(0b101010 + 0o13), 0o10), ehT0Px3KOsy9('\060' + chr(8756 - 8645) + chr(0b110011) + chr(0b100110 + 0o13), 8), ehT0Px3KOsy9(chr(1237 - 1189) + '\x6f' + chr(0b110101) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1011111 + 0o20) + '\061' + '\x33' + '\062', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\063' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(1247 - 1192), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(0b101111 + 0o5), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(1107 - 1057) + chr(55) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b101 + 0o152) + chr(0b110010) + chr(55) + '\x34', 8), ehT0Px3KOsy9('\060' + chr(0b1010001 + 0o36) + chr(0b110011) + chr(1956 - 1903) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + chr(1164 - 1115) + chr(54) + chr(0b100000 + 0o26), 44581 - 44573), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(55) + '\062', 9889 - 9881), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b110001) + chr(0b1110 + 0o44), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1010 + 0o145) + chr(0b10011 + 0o37) + '\x35' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110110) + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\x37' + chr(849 - 796), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b10 + 0o57) + chr(0b11000 + 0o34), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b111 + 0o60) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(0b110101) + chr(1703 - 1651), 64129 - 64121), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(1701 - 1646) + '\064', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110000 + 0o5) + chr(50), 55144 - 55136)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(6911 - 6800) + chr(0b1 + 0o64) + chr(0b101010 + 0o6), 24942 - 24934)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'e'), '\x64' + '\145' + '\x63' + chr(8327 - 8216) + '\144' + chr(0b1100100 + 0o1))(chr(2477 - 2360) + chr(0b1101 + 0o147) + '\x66' + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def WZINe7poqZfF(oVre8I6UXc3b, vGrByMSYMp9h):
if xafqLlk3kkUe(vGrByMSYMp9h, xafqLlk3kkUe(SXOLrMavuUCe(b'.0%!\xb2I\x96\xd4'), chr(0b10101 + 0o117) + '\x65' + '\143' + '\157' + '\144' + '\x65')(chr(0b1110101) + chr(245 - 129) + '\x66' + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'e31a'), '\144' + '\145' + chr(99) + chr(0b1101111) + '\x64' + chr(1137 - 1036))(chr(0b1110101) + '\x74' + '\x66' + '\x2d' + chr(0b111000))):
e1btteYvycCD = vGrByMSYMp9h[:-ehT0Px3KOsy9(chr(2291 - 2243) + '\157' + chr(52), 0o10)] + xafqLlk3kkUe(SXOLrMavuUCe(b'e) $'), chr(100) + chr(9496 - 9395) + chr(0b1100011) + '\157' + chr(8771 - 8671) + chr(4195 - 4094))(chr(0b10110 + 0o137) + '\164' + '\x66' + chr(1050 - 1005) + chr(0b110000 + 0o10))
yty8SpL8o6wD([xafqLlk3kkUe(SXOLrMavuUCe(b'819'), chr(100) + '\x65' + '\x63' + '\157' + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(116) + chr(0b1100001 + 0o5) + chr(45) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b"fs&'\xa4R\x86"), '\144' + '\145' + chr(0b10010 + 0o121) + chr(0b1101111) + chr(4747 - 4647) + chr(0b101111 + 0o66))(chr(0b1101111 + 0o6) + chr(0b1010001 + 0o43) + chr(0b1011111 + 0o7) + '\055' + '\070'), vGrByMSYMp9h, xafqLlk3kkUe(SXOLrMavuUCe(b'f,'), '\x64' + '\145' + chr(0b10000 + 0o123) + '\157' + '\144' + chr(0b1011001 + 0o14))(chr(117) + chr(0b1 + 0o163) + chr(0b1100110) + chr(0b101101) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'zh*'), chr(0b1111 + 0o125) + '\145' + chr(6918 - 6819) + '\x6f' + chr(0b1001010 + 0o32) + '\x65')(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(0b101000 + 0o5) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'f<'), '\144' + chr(101) + '\143' + chr(0b110011 + 0o74) + chr(100) + '\145')('\165' + chr(0b1010010 + 0o42) + '\146' + chr(279 - 234) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'zh'), '\144' + chr(658 - 557) + chr(99) + chr(7301 - 7190) + '\144' + '\145')(chr(0b1110000 + 0o5) + chr(5669 - 5553) + '\x66' + chr(0b1101 + 0o40) + chr(0b101001 + 0o17)), xafqLlk3kkUe(SXOLrMavuUCe(b'f='), chr(0b111 + 0o135) + '\x65' + chr(2299 - 2200) + '\157' + chr(2388 - 2288) + chr(9766 - 9665))(chr(13653 - 13536) + chr(116) + chr(0b1111 + 0o127) + '\055' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'z'), '\x64' + chr(0b10111 + 0o116) + '\143' + chr(0b1101111) + chr(0b101011 + 0o71) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(1774 - 1718)), e1btteYvycCD])
vGrByMSYMp9h = e1btteYvycCD
elif not xafqLlk3kkUe(vGrByMSYMp9h, xafqLlk3kkUe(SXOLrMavuUCe(b'.0%!\xb2I\x96\xd4'), '\x64' + chr(0b111111 + 0o46) + chr(0b1100011) + '\x6f' + chr(0b1100100) + '\145')(chr(0b1110101) + '\164' + '\146' + '\x2d' + chr(0b110100 + 0o4)))(xafqLlk3kkUe(SXOLrMavuUCe(b'e) $'), chr(0b1100100) + chr(101) + chr(99) + chr(111) + chr(5193 - 5093) + '\145')('\x75' + chr(0b1110000 + 0o4) + chr(0b11001 + 0o115) + chr(45) + '\070')):
e1btteYvycCD = vGrByMSYMp9h + xafqLlk3kkUe(SXOLrMavuUCe(b'e) $'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(10785 - 10674) + chr(0b1100100) + chr(0b10 + 0o143))('\x75' + chr(12565 - 12449) + '\146' + '\x2d' + chr(0b111000))
if not xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'.&(!\xb1S'), chr(6223 - 6123) + chr(0b10110 + 0o117) + chr(6755 - 6656) + chr(9584 - 9473) + '\144' + chr(101))('\x75' + chr(0b111101 + 0o67) + '\x66' + '\x2d' + chr(56)))(e1btteYvycCD):
yty8SpL8o6wD([xafqLlk3kkUe(SXOLrMavuUCe(b'819'), chr(1901 - 1801) + chr(2922 - 2821) + chr(9537 - 9438) + '\x6f' + '\x64' + '\145')(chr(0b1110101) + chr(116) + chr(6917 - 6815) + chr(1233 - 1188) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'f,'), chr(0b1001 + 0o133) + '\x65' + chr(0b1011010 + 0o11) + chr(3423 - 3312) + '\144' + '\145')('\165' + chr(0b110011 + 0o101) + chr(0b11 + 0o143) + '\055' + chr(0b100010 + 0o26)), xafqLlk3kkUe(SXOLrMavuUCe(b'zh*'), chr(7662 - 7562) + chr(0b1000011 + 0o42) + chr(0b1001111 + 0o24) + chr(799 - 688) + chr(0b1011110 + 0o6) + chr(0b1010110 + 0o17))('\165' + chr(4299 - 4183) + chr(102) + chr(0b10000 + 0o35) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'f<'), chr(0b1100100) + chr(0b1001001 + 0o34) + chr(99) + chr(111) + '\x64' + chr(7229 - 7128))('\x75' + '\164' + '\x66' + chr(188 - 143) + chr(2946 - 2890)), xafqLlk3kkUe(SXOLrMavuUCe(b'zh'), chr(0b1000001 + 0o43) + '\x65' + chr(0b1100011) + '\x6f' + chr(0b1001010 + 0o32) + chr(101))('\x75' + chr(0b1110100) + '\146' + chr(0b11101 + 0o20) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'f='), '\x64' + '\x65' + chr(9569 - 9470) + chr(111) + chr(100) + chr(101))(chr(117) + chr(9944 - 9828) + chr(0b1100110) + chr(0b11001 + 0o24) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'z'), chr(0b1001101 + 0o27) + chr(0b1001001 + 0o34) + '\x63' + '\157' + chr(0b1100100) + chr(0b100 + 0o141))('\165' + chr(116) + chr(9329 - 9227) + '\x2d' + chr(310 - 254)), vGrByMSYMp9h, e1btteYvycCD])
vGrByMSYMp9h = e1btteYvycCD
(YygZh57sDDVX, ULnjp6D6efFH) = uCY57iNYzSrQ.U6MiWrhuCi2Y(vGrByMSYMp9h)
assert YygZh57sDDVX == xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14- ?\xb5L\x87\xe3\xda\nB\xd4'), chr(0b1110 + 0o126) + '\x65' + chr(99) + chr(8638 - 8527) + chr(0b11001 + 0o113) + '\x65')(chr(11672 - 11555) + chr(3782 - 3666) + chr(1650 - 1548) + chr(0b101101) + chr(56)))
assert c2A0yzQpDQB3(xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'%?4\x0b\xa3l\x85\xd0\xfc\x1bU\xd3'), chr(0b101110 + 0o66) + chr(101) + '\143' + chr(0b1101111) + chr(0b1011101 + 0o7) + chr(1618 - 1517))(chr(117) + chr(2954 - 2838) + chr(0b1100110) + '\055' + chr(0b101000 + 0o20)))) == ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(5191 - 5080) + chr(0b1 + 0o60), ord("\x08"))
if xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'!\r\x17k\x8ck\x8c\xd9\xc5#\x01\xfa'), chr(4004 - 3904) + chr(101) + chr(0b1010101 + 0o16) + chr(0b10101 + 0o132) + chr(0b1100100) + chr(9303 - 9202))(chr(7465 - 7348) + '\164' + chr(0b1100110) + chr(853 - 808) + '\x38')) not in [xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'-2.3\xb1\x13\xd0'), '\144' + chr(0b1100101) + chr(564 - 465) + chr(111) + '\x64' + chr(0b1010010 + 0o23))('\x75' + chr(1577 - 1461) + chr(0b1011100 + 0o12) + chr(2014 - 1969) + '\070')), xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'-2.3\xb1\x16\xd6'), '\x64' + '\x65' + chr(0b1100011) + '\x6f' + chr(0b1001111 + 0o25) + '\x65')(chr(0b1010100 + 0o41) + chr(0b101110 + 0o106) + chr(102) + chr(45) + chr(696 - 640)))]:
ULnjp6D6efFH = ULnjp6D6efFH.astype(WqUC3KWvYVup.float32) / WqUC3KWvYVup.iinfo(ULnjp6D6efFH.dtype).tsdjvlgh9gDP
return xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'?1-;\xb6T'), chr(100) + chr(3548 - 3447) + chr(0b1100011) + chr(7775 - 7664) + chr(0b1100100) + chr(101 - 0))(chr(0b1110 + 0o147) + chr(0b110100 + 0o100) + chr(3488 - 3386) + chr(1420 - 1375) + chr(56)))()
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/audio_encoder.py
|
AudioEncoder.decode
|
def decode(self, ids):
"""Transform a sequence of float32 into a waveform.
Args:
ids: list of integers to be converted.
Returns:
Path to the temporary file where the waveform was saved.
Raises:
ValueError: if the ids are not of the appropriate size.
"""
_, tmp_file_path = tempfile.mkstemp()
wavfile.write(tmp_file_path, self._sample_rate, np.asarray(ids))
return tmp_file_path
|
python
|
def decode(self, ids):
"""Transform a sequence of float32 into a waveform.
Args:
ids: list of integers to be converted.
Returns:
Path to the temporary file where the waveform was saved.
Raises:
ValueError: if the ids are not of the appropriate size.
"""
_, tmp_file_path = tempfile.mkstemp()
wavfile.write(tmp_file_path, self._sample_rate, np.asarray(ids))
return tmp_file_path
|
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"_sample_rate",
",",
"np",
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"asarray",
"(",
"ids",
")",
")",
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"tmp_file_path"
] |
Transform a sequence of float32 into a waveform.
Args:
ids: list of integers to be converted.
Returns:
Path to the temporary file where the waveform was saved.
Raises:
ValueError: if the ids are not of the appropriate size.
|
[
"Transform",
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"sequence",
"of",
"float32",
"into",
"a",
"waveform",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/audio_encoder.py#L67-L81
|
train
|
Transform a sequence of float32 into a waveform.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101000 + 0o7) + '\x36' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(2294 - 2243) + chr(1446 - 1397), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2362 - 2251) + '\063' + chr(0b110100) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(0b100100 + 0o22) + chr(1762 - 1712), ord("\x08")), ehT0Px3KOsy9(chr(540 - 492) + chr(111) + chr(0b11110 + 0o25) + '\066' + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11011 + 0o124) + '\062' + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001001 + 0o46) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011110 + 0o21) + '\062' + chr(2586 - 2535) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(416 - 367) + '\067' + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101100 + 0o103) + chr(706 - 655) + chr(226 - 178) + chr(0b100000 + 0o24), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(49) + '\x37' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + chr(0b110111) + chr(0b101101 + 0o10), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b110 + 0o52) + chr(0b11000 + 0o37), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b100111 + 0o20) + chr(216 - 162), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100010 + 0o17) + chr(2268 - 2214) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1100 + 0o143) + chr(369 - 319) + chr(48) + chr(1111 - 1058), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\x32' + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1187 - 1134), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1273 - 1162) + '\x33' + chr(49) + '\061', 41793 - 41785), ehT0Px3KOsy9(chr(0b110000) + chr(0b11010 + 0o125) + '\061' + '\061' + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(2850 - 2739) + '\062' + '\065' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5532 - 5421) + chr(0b110 + 0o53) + chr(0b100010 + 0o23), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(0b1000 + 0o52) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b100 + 0o153) + '\x33' + '\x32' + chr(0b110 + 0o54), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\066' + chr(0b11010 + 0o31), 31073 - 31065), ehT0Px3KOsy9('\060' + chr(111) + chr(2265 - 2215) + chr(49) + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(0b101001 + 0o106) + chr(1827 - 1776) + chr(0b101011 + 0o14) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000100 + 0o53) + chr(0b110010) + chr(51) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\067' + chr(0b110101), 8), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(2945 - 2834) + chr(2025 - 1975) + chr(50) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(0b110001 + 0o76) + '\x32' + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1267 - 1218) + '\063' + '\061', 8), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + chr(2407 - 2354) + chr(2642 - 2589), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + chr(55) + '\065', 8), ehT0Px3KOsy9(chr(415 - 367) + '\157' + '\066' + chr(0b10 + 0o63), 65280 - 65272), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(0b110010) + chr(0b110001) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b110 + 0o151) + chr(0b1000 + 0o57) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(48) + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(50) + '\x36', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110101) + chr(838 - 790), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c'), '\144' + '\x65' + chr(99) + chr(0b10110 + 0o131) + chr(9248 - 9148) + chr(108 - 7))('\165' + chr(0b1110100) + '\x66' + '\055' + chr(811 - 755)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def RSziqSuj39r9(oVre8I6UXc3b, zdjj2pRemk_P):
(VNGQdHSFPrso, g8QCM1tZJvBu) = IvD8hQuFpT7c.mkstemp()
xafqLlk3kkUe(uCY57iNYzSrQ, xafqLlk3kkUe(SXOLrMavuUCe(b'E+\x8e\x06\x92'), chr(0b11001 + 0o113) + chr(0b11100 + 0o111) + chr(99) + chr(111) + chr(3980 - 3880) + chr(0b1100101))('\x75' + chr(6169 - 6053) + chr(0b1100110) + '\x2d' + chr(0b1100 + 0o54)))(g8QCM1tZJvBu, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'm*\x86\x1f\x87~a\xc3\n\xa5\x08X'), chr(0b1001001 + 0o33) + chr(462 - 361) + chr(0b11000 + 0o113) + chr(111) + chr(0b101101 + 0o67) + '\x65')('\x75' + chr(116) + chr(5149 - 5047) + '\055' + chr(0b101001 + 0o17))), xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'S*\x86\x00\x85s}'), chr(0b111000 + 0o54) + chr(101) + '\143' + '\157' + chr(100) + chr(0b1100101))('\165' + chr(0b111000 + 0o74) + chr(0b1100110) + chr(0b101101) + chr(0b111000)))(zdjj2pRemk_P))
return g8QCM1tZJvBu
|
tensorflow/tensor2tensor
|
tensor2tensor/insights/graph.py
|
Graph.new_vertex
|
def new_vertex(self):
"""Creates and returns a new vertex.
Returns:
A new Vertex instance with a unique index.
"""
vertex = Vertex(len(self.vertices))
self.vertices.append(vertex)
return vertex
|
python
|
def new_vertex(self):
"""Creates and returns a new vertex.
Returns:
A new Vertex instance with a unique index.
"""
vertex = Vertex(len(self.vertices))
self.vertices.append(vertex)
return vertex
|
[
"def",
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")",
":",
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"len",
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"self",
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"vertices",
")",
")",
"self",
".",
"vertices",
".",
"append",
"(",
"vertex",
")",
"return",
"vertex"
] |
Creates and returns a new vertex.
Returns:
A new Vertex instance with a unique index.
|
[
"Creates",
"and",
"returns",
"a",
"new",
"vertex",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/insights/graph.py#L102-L110
|
train
|
Creates and returns a new vertex.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1654 - 1606) + chr(111) + chr(0b110010) + chr(0b0 + 0o63) + chr(0b101100 + 0o12), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1 + 0o62) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001 + 0o146) + chr(0b110011) + chr(55) + chr(53), 27133 - 27125), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(52) + chr(0b110110), 63772 - 63764), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100110 + 0o20) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1447 - 1398) + chr(507 - 453) + '\063', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1935 - 1886) + chr(50) + chr(1709 - 1658), 61197 - 61189), ehT0Px3KOsy9('\060' + '\x6f' + chr(213 - 162) + '\067' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(1677 - 1629) + chr(0b1101111) + chr(0b110001) + '\x30' + '\060', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(57 - 8) + chr(0b110101) + chr(351 - 299), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b110010) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + chr(714 - 603) + chr(0b10000 + 0o41) + chr(0b110100) + chr(0b100011 + 0o17), ord("\x08")), ehT0Px3KOsy9('\060' + chr(2218 - 2107) + chr(49) + chr(2173 - 2125) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101010 + 0o105) + chr(1515 - 1464) + chr(0b10000 + 0o42) + chr(0b110100), 23888 - 23880), ehT0Px3KOsy9(chr(0b110000) + chr(2116 - 2005) + chr(49) + '\064' + chr(0b11111 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(0b110101) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + chr(2373 - 2262) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100011 + 0o114) + chr(49) + chr(0b110100) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + '\x32' + '\061' + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(786 - 737) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000110 + 0o51) + chr(50) + chr(449 - 396), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(0b110111) + chr(390 - 340), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + chr(0b110011) + chr(0b1010 + 0o53) + chr(0b110000), 24249 - 24241), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(0b0 + 0o66), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010101 + 0o32) + '\x33' + '\067', 0b1000), ehT0Px3KOsy9(chr(2215 - 2167) + '\157' + '\x33' + '\067' + '\x36', 8), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + chr(0b110011) + '\x36' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1010101 + 0o32) + chr(0b10101 + 0o35) + chr(0b100110 + 0o13) + chr(52), 36978 - 36970), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\063' + chr(759 - 705), 47855 - 47847), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b110001 + 0o5) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1017 - 906) + '\x33' + '\x31' + chr(1110 - 1061), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10101 + 0o132) + chr(884 - 830) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + chr(1087 - 1036) + chr(0b110111) + chr(0b101001 + 0o12), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\x32' + chr(0b110100 + 0o0), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b10101 + 0o132) + chr(0b1 + 0o61) + '\x35' + chr(48), 12771 - 12763), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + '\064' + chr(1639 - 1586), 43922 - 43914), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b110111) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(5252 - 5141) + chr(0b100110 + 0o14) + '\x33' + chr(0b110000 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(679 - 631) + '\x6f' + chr(0b110011) + chr(51) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(1879 - 1824) + chr(1501 - 1446), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + '\x35' + '\x30', 19523 - 19515)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0'), chr(2185 - 2085) + '\145' + chr(99) + chr(11290 - 11179) + chr(0b111110 + 0o46) + '\x65')(chr(0b111111 + 0o66) + chr(0b1101111 + 0o5) + chr(0b1100110) + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def bCvY6zBCiGqv(oVre8I6UXc3b):
CNW4RmckVAZZ = RU2WMOrdmUQG(c2A0yzQpDQB3(oVre8I6UXc3b.vertices))
xafqLlk3kkUe(oVre8I6UXc3b.vertices, xafqLlk3kkUe(SXOLrMavuUCe(b'\xffk\x8d\x03_\x17'), chr(0b1111 + 0o125) + chr(101) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b10101 + 0o120))(chr(4425 - 4308) + chr(6961 - 6845) + chr(102) + chr(45) + chr(1516 - 1460)))(CNW4RmckVAZZ)
return CNW4RmckVAZZ
|
tensorflow/tensor2tensor
|
tensor2tensor/insights/graph.py
|
Graph.get_vertex
|
def get_vertex(self, key):
"""Returns or Creates a Vertex mapped by key.
Args:
key: A string reference for a vertex. May refer to a new Vertex in which
case it will be created.
Returns:
A the Vertex mapped to by key.
"""
if key in self.vertex_map:
return self.vertex_map[key]
vertex = self.new_vertex()
self.vertex_map[key] = vertex
return vertex
|
python
|
def get_vertex(self, key):
"""Returns or Creates a Vertex mapped by key.
Args:
key: A string reference for a vertex. May refer to a new Vertex in which
case it will be created.
Returns:
A the Vertex mapped to by key.
"""
if key in self.vertex_map:
return self.vertex_map[key]
vertex = self.new_vertex()
self.vertex_map[key] = vertex
return vertex
|
[
"def",
"get_vertex",
"(",
"self",
",",
"key",
")",
":",
"if",
"key",
"in",
"self",
".",
"vertex_map",
":",
"return",
"self",
".",
"vertex_map",
"[",
"key",
"]",
"vertex",
"=",
"self",
".",
"new_vertex",
"(",
")",
"self",
".",
"vertex_map",
"[",
"key",
"]",
"=",
"vertex",
"return",
"vertex"
] |
Returns or Creates a Vertex mapped by key.
Args:
key: A string reference for a vertex. May refer to a new Vertex in which
case it will be created.
Returns:
A the Vertex mapped to by key.
|
[
"Returns",
"or",
"Creates",
"a",
"Vertex",
"mapped",
"by",
"key",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/insights/graph.py#L112-L126
|
train
|
Returns or Creates a vertex in which the vertex is mapped to by key.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + chr(2493 - 2443) + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(573 - 462) + chr(675 - 626) + '\062' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(4047 - 3936) + chr(441 - 391) + chr(1545 - 1490) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + chr(2430 - 2380) + chr(999 - 947) + '\x32', 52053 - 52045), ehT0Px3KOsy9('\060' + chr(0b100110 + 0o111) + chr(0b11110 + 0o25) + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(0b1100010 + 0o15) + chr(0b110110) + chr(0b1001 + 0o52), 0b1000), ehT0Px3KOsy9(chr(1194 - 1146) + chr(12049 - 11938) + chr(0b110001) + chr(1158 - 1108) + chr(0b11011 + 0o30), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(48) + chr(0b110011), 47292 - 47284), ehT0Px3KOsy9(chr(914 - 866) + chr(0b1101111) + chr(0b100000 + 0o23) + chr(1003 - 952) + chr(0b101 + 0o57), 0b1000), ehT0Px3KOsy9(chr(48) + chr(6950 - 6839) + '\061' + '\066' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1010000 + 0o37) + chr(2446 - 2396) + '\x35' + chr(0b110 + 0o61), 9927 - 9919), ehT0Px3KOsy9(chr(1181 - 1133) + chr(111) + chr(49) + '\065' + chr(1860 - 1806), 56643 - 56635), ehT0Px3KOsy9(chr(2272 - 2224) + chr(111) + chr(0b11000 + 0o31) + '\067' + chr(0b10111 + 0o31), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100011 + 0o20) + '\x35' + chr(52), 0o10), ehT0Px3KOsy9(chr(1414 - 1366) + chr(111) + chr(50) + chr(0b110110) + chr(0b1001 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10317 - 10206) + chr(49) + '\x36' + chr(0b110110 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10000 + 0o43) + chr(0b110011) + chr(1925 - 1875), 62030 - 62022), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(0b110001) + chr(902 - 852) + chr(0b110011), 8), ehT0Px3KOsy9(chr(1826 - 1778) + '\157' + chr(0b1011 + 0o46) + chr(52) + chr(51), 0b1000), ehT0Px3KOsy9(chr(319 - 271) + '\x6f' + '\x34' + chr(0b110001), 55 - 47), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(0b110101) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(49) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1952 - 1904), 0b1000), ehT0Px3KOsy9(chr(1466 - 1418) + chr(0b111101 + 0o62) + chr(0b100111 + 0o14) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + '\061' + chr(0b101110 + 0o2) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\062', 10474 - 10466), ehT0Px3KOsy9(chr(48) + chr(1355 - 1244) + chr(0b10000 + 0o41) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100011 + 0o17) + chr(0b1110 + 0o45) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(1246 - 1197) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(4987 - 4876) + '\062' + chr(1174 - 1122) + chr(666 - 616), 8), ehT0Px3KOsy9(chr(48) + chr(4141 - 4030) + '\061' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(52) + chr(49), 8), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(0b10111 + 0o32) + chr(0b101101 + 0o12) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(53) + chr(1150 - 1096), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + '\063' + '\x33', 15537 - 15529), ehT0Px3KOsy9('\060' + '\157' + '\064' + '\x31', 8), ehT0Px3KOsy9('\x30' + chr(7690 - 7579) + '\x32' + chr(0b101001 + 0o14) + '\067', 8), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\x32', 64347 - 64339), ehT0Px3KOsy9('\060' + chr(0b1000101 + 0o52) + chr(0b100 + 0o56) + chr(0b101010 + 0o14) + chr(2642 - 2590), 673 - 665)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110101) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b';'), '\144' + '\145' + '\143' + '\157' + chr(0b1100100) + '\x65')('\165' + chr(9716 - 9600) + '\146' + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def BoqR83DMovWa(oVre8I6UXc3b, K3J4ZwSlE0sT):
if K3J4ZwSlE0sT in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'ci&\xc8\xc7al>"\xac'), chr(3781 - 3681) + '\145' + chr(1384 - 1285) + chr(901 - 790) + '\x64' + chr(0b1100101))(chr(0b1010 + 0o153) + chr(0b10011 + 0o141) + chr(102) + chr(0b100000 + 0o15) + chr(56))):
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'ci&\xc8\xc7al>"\xac'), chr(0b101111 + 0o65) + '\145' + chr(0b1100011) + chr(111) + chr(0b1110 + 0o126) + chr(0b1001011 + 0o32))(chr(564 - 447) + chr(5131 - 5015) + '\x66' + '\055' + '\x38'))[K3J4ZwSlE0sT]
CNW4RmckVAZZ = oVre8I6UXc3b.new_vertex()
oVre8I6UXc3b.fM6cn_UV8Y07[K3J4ZwSlE0sT] = CNW4RmckVAZZ
return CNW4RmckVAZZ
|
tensorflow/tensor2tensor
|
tensor2tensor/insights/graph.py
|
Graph.add_edge
|
def add_edge(self, source, target):
"""Returns a new edge connecting source and target vertices.
Args:
source: The source Vertex.
target: The target Vertex.
Returns:
A new Edge linking source to target.
"""
edge = Edge(len(self.edges))
self.edges.append(edge)
source.out_edges.append(edge.idx)
target.in_edges.append(edge.idx)
edge.source = source.idx
edge.target = target.idx
return edge
|
python
|
def add_edge(self, source, target):
"""Returns a new edge connecting source and target vertices.
Args:
source: The source Vertex.
target: The target Vertex.
Returns:
A new Edge linking source to target.
"""
edge = Edge(len(self.edges))
self.edges.append(edge)
source.out_edges.append(edge.idx)
target.in_edges.append(edge.idx)
edge.source = source.idx
edge.target = target.idx
return edge
|
[
"def",
"add_edge",
"(",
"self",
",",
"source",
",",
"target",
")",
":",
"edge",
"=",
"Edge",
"(",
"len",
"(",
"self",
".",
"edges",
")",
")",
"self",
".",
"edges",
".",
"append",
"(",
"edge",
")",
"source",
".",
"out_edges",
".",
"append",
"(",
"edge",
".",
"idx",
")",
"target",
".",
"in_edges",
".",
"append",
"(",
"edge",
".",
"idx",
")",
"edge",
".",
"source",
"=",
"source",
".",
"idx",
"edge",
".",
"target",
"=",
"target",
".",
"idx",
"return",
"edge"
] |
Returns a new edge connecting source and target vertices.
Args:
source: The source Vertex.
target: The target Vertex.
Returns:
A new Edge linking source to target.
|
[
"Returns",
"a",
"new",
"edge",
"connecting",
"source",
"and",
"target",
"vertices",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/insights/graph.py#L128-L144
|
train
|
Adds an edge connecting source and target vertices.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(1191 - 1080) + chr(0b100010 + 0o25) + chr(2256 - 2208), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10681 - 10570) + chr(0b101110 + 0o3) + chr(2457 - 2407) + chr(2691 - 2636), 28154 - 28146), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2036 - 1985) + chr(759 - 707) + chr(0b100001 + 0o23), 0b1000), ehT0Px3KOsy9('\060' + chr(3511 - 3400) + '\062' + '\064' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(6205 - 6094) + chr(51) + '\x31' + chr(2549 - 2494), 0o10), ehT0Px3KOsy9(chr(1401 - 1353) + chr(0b1101010 + 0o5) + '\x35' + '\x34', 19084 - 19076), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(0b110001) + chr(0b110011 + 0o3) + chr(55), 0o10), ehT0Px3KOsy9(chr(1586 - 1538) + chr(0b101100 + 0o103) + chr(0b110010) + chr(674 - 620), ord("\x08")), ehT0Px3KOsy9(chr(1153 - 1105) + '\157' + chr(0b100101 + 0o14) + '\x37' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b110111) + chr(1092 - 1041), 0b1000), ehT0Px3KOsy9(chr(1251 - 1203) + '\157' + chr(50) + chr(53) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + '\062' + chr(53) + chr(250 - 196), ord("\x08")), ehT0Px3KOsy9(chr(701 - 653) + '\157' + '\064' + chr(50), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b100111 + 0o15) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(103 - 52), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100110 + 0o111) + '\063' + chr(0b110111) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(7298 - 7187) + chr(0b110010) + chr(1812 - 1760) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110100) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b100110 + 0o17), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + '\x34' + chr(805 - 753), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(1437 - 1388) + chr(51) + '\063', 34785 - 34777), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(203 - 151) + chr(743 - 688), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1077 - 966) + chr(49) + '\x31' + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(52) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(0b111 + 0o54), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1613 - 1564) + '\x35' + chr(1377 - 1327), 0o10), ehT0Px3KOsy9(chr(1952 - 1904) + chr(11763 - 11652) + chr(0b110010) + chr(0b110110) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1067 - 1017) + chr(55) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(1031 - 983) + '\x6f' + chr(0b110010) + chr(52) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(464 - 415) + chr(0b110011) + '\x34', 39263 - 39255), ehT0Px3KOsy9(chr(48) + chr(1269 - 1158) + '\063' + chr(54) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(55) + chr(0b110110 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(345 - 294) + '\x30' + '\x37', 38871 - 38863), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\066' + chr(1811 - 1758), 55500 - 55492), ehT0Px3KOsy9(chr(1970 - 1922) + chr(111) + '\x31' + chr(53) + '\x34', 0o10), ehT0Px3KOsy9(chr(2278 - 2230) + chr(111) + chr(871 - 821) + chr(0b110001) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(142 - 94) + chr(111) + chr(51) + chr(2483 - 2433) + chr(0b110110), 3109 - 3101), ehT0Px3KOsy9(chr(205 - 157) + '\157' + chr(0b11000 + 0o33) + chr(0b1110 + 0o43) + chr(0b100101 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\x31' + '\067', 39287 - 39279)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(855 - 802) + chr(0b101011 + 0o5), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x16'), chr(100) + '\x65' + '\x63' + '\157' + '\144' + chr(101))(chr(0b100011 + 0o122) + chr(0b1110100) + chr(0b1100110) + chr(0b100101 + 0o10) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def UhjpM9yGdv3H(oVre8I6UXc3b, Qas9W3D0Xbzi, GR1581dR5rDS):
HyOf7FQDoph3 = EULyIjWfT3Qz(c2A0yzQpDQB3(oVre8I6UXc3b.edges))
xafqLlk3kkUe(oVre8I6UXc3b.edges, xafqLlk3kkUe(SXOLrMavuUCe(b"Y'\x94\xc3\xa1H"), '\144' + chr(0b1000101 + 0o40) + chr(0b1100011) + '\157' + '\x64' + chr(681 - 580))(chr(4559 - 4442) + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b10001 + 0o47)))(HyOf7FQDoph3)
xafqLlk3kkUe(Qas9W3D0Xbzi.out_edges, xafqLlk3kkUe(SXOLrMavuUCe(b"Y'\x94\xc3\xa1H"), '\x64' + chr(0b11101 + 0o110) + '\x63' + '\x6f' + chr(100) + chr(7607 - 7506))('\165' + '\164' + chr(0b1100110) + chr(1974 - 1929) + '\x38'))(xafqLlk3kkUe(HyOf7FQDoph3, xafqLlk3kkUe(SXOLrMavuUCe(b'a;\x95\xd3\xbcu5 0\x95\xc7\xe3'), chr(0b1100100) + chr(1955 - 1854) + chr(0b100010 + 0o101) + chr(0b1101111) + '\x64' + chr(101))(chr(0b1010011 + 0o42) + chr(116) + '\146' + chr(0b101101) + chr(0b110011 + 0o5))))
xafqLlk3kkUe(GR1581dR5rDS.in_edges, xafqLlk3kkUe(SXOLrMavuUCe(b"Y'\x94\xc3\xa1H"), '\x64' + chr(101) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(101))('\165' + '\x74' + chr(0b110110 + 0o60) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(HyOf7FQDoph3, xafqLlk3kkUe(SXOLrMavuUCe(b'a;\x95\xd3\xbcu5 0\x95\xc7\xe3'), '\144' + chr(101) + chr(0b1100011) + chr(0b10001 + 0o136) + chr(100) + '\x65')('\165' + '\x74' + chr(0b1001101 + 0o31) + '\055' + chr(56))))
HyOf7FQDoph3.Qas9W3D0Xbzi = Qas9W3D0Xbzi.YlqusYB6InkM
HyOf7FQDoph3.GR1581dR5rDS = GR1581dR5rDS.YlqusYB6InkM
return HyOf7FQDoph3
|
tensorflow/tensor2tensor
|
tensor2tensor/insights/graph.py
|
Graph.to_dict
|
def to_dict(self):
"""Returns a simplified dictionary representing the Graph.
Returns:
A dictionary that can easily be serialized to JSON.
"""
return {
"node": [v.to_dict() for v in self.vertices],
"edge": [e.to_dict() for e in self.edges]
}
|
python
|
def to_dict(self):
"""Returns a simplified dictionary representing the Graph.
Returns:
A dictionary that can easily be serialized to JSON.
"""
return {
"node": [v.to_dict() for v in self.vertices],
"edge": [e.to_dict() for e in self.edges]
}
|
[
"def",
"to_dict",
"(",
"self",
")",
":",
"return",
"{",
"\"node\"",
":",
"[",
"v",
".",
"to_dict",
"(",
")",
"for",
"v",
"in",
"self",
".",
"vertices",
"]",
",",
"\"edge\"",
":",
"[",
"e",
".",
"to_dict",
"(",
")",
"for",
"e",
"in",
"self",
".",
"edges",
"]",
"}"
] |
Returns a simplified dictionary representing the Graph.
Returns:
A dictionary that can easily be serialized to JSON.
|
[
"Returns",
"a",
"simplified",
"dictionary",
"representing",
"the",
"Graph",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/insights/graph.py#L146-L155
|
train
|
Returns a simplified dictionary representing the Graph.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\157' + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b110010) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b101000 + 0o107) + '\064' + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(75 - 20) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1000 + 0o53) + chr(1254 - 1202) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(239 - 190) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101100 + 0o5) + '\x34' + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(2290 - 2241) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(55) + chr(0b100011 + 0o15), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(48) + chr(511 - 459), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b110111 + 0o0) + chr(48), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(314 - 264) + chr(1847 - 1795), 16214 - 16206), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(2203 - 2152), ord("\x08")), ehT0Px3KOsy9('\060' + chr(8924 - 8813) + chr(1857 - 1808) + '\x30' + chr(0b110000), 65205 - 65197), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\066' + chr(512 - 463), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + '\067' + '\065', 51839 - 51831), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011101 + 0o22) + chr(50) + chr(2306 - 2256) + chr(0b11001 + 0o35), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11 + 0o57) + chr(0b110110) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(2237 - 2126) + '\x33' + chr(796 - 748), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(956 - 907) + chr(0b110011 + 0o3), 0b1000), ehT0Px3KOsy9('\060' + chr(4016 - 3905) + chr(0b11001 + 0o34) + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(214 - 163) + chr(0b110011) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x34' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(2721 - 2610) + chr(0b110110) + '\060', 64775 - 64767), ehT0Px3KOsy9(chr(0b110000) + chr(0b11 + 0o154) + '\x33' + chr(53) + '\x37', 0b1000), ehT0Px3KOsy9(chr(1311 - 1263) + '\157' + '\063' + '\066' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + '\066' + '\060', 8), ehT0Px3KOsy9(chr(48) + chr(0b1100000 + 0o17) + chr(0b110011) + chr(0b110 + 0o52) + chr(727 - 676), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\x36' + '\064', 0o10), ehT0Px3KOsy9(chr(569 - 521) + chr(111) + chr(51) + '\x33' + chr(51), 0o10), ehT0Px3KOsy9('\060' + chr(9207 - 9096) + chr(0b100010 + 0o17) + chr(0b110110 + 0o0) + '\060', 49187 - 49179), ehT0Px3KOsy9(chr(1467 - 1419) + chr(0b1100010 + 0o15) + '\x33' + chr(0b11100 + 0o24) + chr(50), 30980 - 30972), ehT0Px3KOsy9(chr(2021 - 1973) + chr(0b1000000 + 0o57) + chr(49) + '\x36' + '\x31', 8), ehT0Px3KOsy9('\060' + chr(11206 - 11095) + '\x31' + chr(0b110001), 42439 - 42431), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + '\067', 25253 - 25245), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(48) + chr(853 - 803), 5514 - 5506), ehT0Px3KOsy9(chr(0b110000) + chr(4990 - 4879) + chr(0b110010) + '\x35' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\067' + chr(2579 - 2524), 14397 - 14389), ehT0Px3KOsy9(chr(1151 - 1103) + chr(1485 - 1374) + chr(2499 - 2449) + '\066' + chr(0b1010 + 0o52), 64435 - 64427), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(49) + '\x35' + chr(701 - 653), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(817 - 769) + chr(4469 - 4358) + chr(0b110101) + chr(2170 - 2122), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'.'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(0b100 + 0o140) + '\x65')(chr(0b1110101) + chr(116) + chr(0b100110 + 0o100) + chr(1215 - 1170) + chr(1886 - 1830)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ANIlnSK1rtks(oVre8I6UXc3b):
return {xafqLlk3kkUe(SXOLrMavuUCe(b'n?F]'), chr(1741 - 1641) + chr(0b1001111 + 0o26) + chr(0b1011011 + 0o10) + chr(3863 - 3752) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b1111 + 0o145) + chr(0b110101 + 0o61) + '\x2d' + '\070'): [xafqLlk3kkUe(cMbll0QYhULo, xafqLlk3kkUe(SXOLrMavuUCe(b't?}\\\x88\xef\x11'), chr(1067 - 967) + '\x65' + '\143' + chr(6093 - 5982) + chr(2832 - 2732) + '\x65')(chr(0b111111 + 0o66) + '\x74' + chr(0b1100110) + chr(0b101101) + '\x38'))() for cMbll0QYhULo in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'v5PL\x88\xef\x00\xbc'), chr(0b1011110 + 0o6) + chr(101) + chr(0b101 + 0o136) + '\x6f' + chr(100) + chr(0b1100010 + 0o3))(chr(0b1110101) + chr(116) + chr(6355 - 6253) + chr(45) + chr(1609 - 1553)))], xafqLlk3kkUe(SXOLrMavuUCe(b'e4E]'), '\x64' + '\145' + chr(0b1000 + 0o133) + chr(0b1011111 + 0o20) + chr(0b1100100) + chr(0b1100101))('\165' + chr(4124 - 4008) + '\146' + '\055' + chr(0b110011 + 0o5)): [xafqLlk3kkUe(GlnVAPeT6CUe, xafqLlk3kkUe(SXOLrMavuUCe(b't?}\\\x88\xef\x11'), chr(0b111111 + 0o45) + chr(873 - 772) + chr(99) + chr(1464 - 1353) + chr(0b1100100 + 0o0) + chr(0b1100101 + 0o0))(chr(0b111 + 0o156) + chr(0b1011111 + 0o25) + chr(9402 - 9300) + chr(0b11000 + 0o25) + chr(0b11001 + 0o37)))() for GlnVAPeT6CUe in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'e4E]\x92'), chr(0b1100100) + chr(101) + chr(0b1000000 + 0o43) + chr(0b1101111) + '\144' + chr(0b1100101))('\x75' + '\164' + chr(0b110110 + 0o60) + chr(0b101101) + chr(0b11010 + 0o36)))]}
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_vae.py
|
attend
|
def attend(x, source, hparams, name):
"""Self-attention layer with source as memory antecedent."""
with tf.variable_scope(name):
x = tf.squeeze(x, axis=2)
if len(source.get_shape()) > 3:
source = tf.squeeze(source, axis=2)
source = common_attention.add_timing_signal_1d(source)
y = common_attention.multihead_attention(
common_layers.layer_preprocess(x, hparams), source, None,
hparams.attention_key_channels or hparams.hidden_size,
hparams.attention_value_channels or hparams.hidden_size,
hparams.hidden_size, hparams.num_heads,
hparams.attention_dropout)
res = common_layers.layer_postprocess(x, y, hparams)
return tf.expand_dims(res, axis=2)
|
python
|
def attend(x, source, hparams, name):
"""Self-attention layer with source as memory antecedent."""
with tf.variable_scope(name):
x = tf.squeeze(x, axis=2)
if len(source.get_shape()) > 3:
source = tf.squeeze(source, axis=2)
source = common_attention.add_timing_signal_1d(source)
y = common_attention.multihead_attention(
common_layers.layer_preprocess(x, hparams), source, None,
hparams.attention_key_channels or hparams.hidden_size,
hparams.attention_value_channels or hparams.hidden_size,
hparams.hidden_size, hparams.num_heads,
hparams.attention_dropout)
res = common_layers.layer_postprocess(x, y, hparams)
return tf.expand_dims(res, axis=2)
|
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] |
Self-attention layer with source as memory antecedent.
|
[
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"antecedent",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_vae.py#L62-L76
|
train
|
Self - attention layer with source as memory antecedent.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(134 - 86) + chr(10403 - 10292) + chr(0b110101) + chr(0b0 + 0o63), 0b1000), ehT0Px3KOsy9(chr(1143 - 1095) + chr(5403 - 5292) + '\062' + '\064' + '\067', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(49) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100111 + 0o12) + chr(0b101001 + 0o10) + chr(2234 - 2185), 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + chr(50) + chr(0b101011 + 0o6), 8761 - 8753), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b101011 + 0o11) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100111 + 0o10) + '\063' + chr(51) + '\x30', 12148 - 12140), ehT0Px3KOsy9(chr(553 - 505) + chr(0b100010 + 0o115) + chr(0b110001) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(253 - 205) + '\157' + chr(49) + '\060' + chr(0b100011 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(1824 - 1776) + chr(111) + chr(0b101010 + 0o10) + '\066' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1000110 + 0o51) + chr(0b10101 + 0o34) + '\x37', 13310 - 13302), ehT0Px3KOsy9('\x30' + chr(0b10 + 0o155) + '\x33' + chr(0b10 + 0o63) + '\x37', 49757 - 49749), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100010 + 0o21) + chr(0b110010) + chr(1685 - 1637), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(48) + '\x36', 0b1000), ehT0Px3KOsy9(chr(475 - 427) + chr(0b111100 + 0o63) + chr(50) + '\066' + chr(0b11011 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + '\x32' + chr(0b100110 + 0o14) + '\066', 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(2076 - 2027) + '\060' + '\060', 8), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11100 + 0o25) + chr(53) + chr(560 - 509), 33640 - 33632), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10101 + 0o36) + '\063' + chr(54), 0b1000), ehT0Px3KOsy9(chr(1134 - 1086) + chr(10456 - 10345) + '\x32' + '\066' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + chr(1413 - 1362) + '\x36' + chr(300 - 247), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(513 - 459) + chr(0b101111 + 0o2), 30726 - 30718), ehT0Px3KOsy9(chr(370 - 322) + chr(111) + chr(51) + chr(2156 - 2106) + chr(48), 8), ehT0Px3KOsy9('\060' + chr(0b100101 + 0o112) + chr(612 - 563) + chr(0b1100 + 0o52) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + '\062' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100 + 0o153) + chr(1317 - 1266) + '\062' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(3902 - 3791) + chr(1051 - 999) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + '\065' + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(4135 - 4024) + chr(49) + chr(50) + chr(760 - 707), 56676 - 56668), ehT0Px3KOsy9(chr(0b110000) + chr(0b10011 + 0o134) + chr(1720 - 1671) + chr(0b100111 + 0o13) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(9013 - 8902) + chr(1933 - 1882) + chr(54) + '\061', 8), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + chr(0b1101 + 0o44) + chr(1198 - 1150) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + '\063' + chr(263 - 210) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(3829 - 3718) + chr(55) + chr(2844 - 2790), 25154 - 25146), ehT0Px3KOsy9(chr(1036 - 988) + chr(5306 - 5195) + chr(50) + chr(52) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001000 + 0o47) + '\x32' + chr(0b110000) + chr(53), 25922 - 25914), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1189 - 1139) + chr(49) + chr(1172 - 1118), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11010 + 0o27) + '\x37' + chr(0b11000 + 0o31), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(2304 - 2249) + chr(51), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + '\065' + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x05'), '\x64' + '\x65' + '\x63' + chr(111) + '\144' + '\x65')(chr(0b1010110 + 0o37) + chr(0b1110100) + '\x66' + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def qfze1j7ouKTp(OeWW0F1dBPRQ, Qas9W3D0Xbzi, n4ljua2gi1Pr, AIvJRzLdDfgF):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b']\xc6\xbd p\xc2\xb4m\x1f\xc3l\x80\xa0#'), chr(2812 - 2712) + chr(101) + chr(99) + '\157' + chr(100) + chr(4992 - 4891))('\x75' + chr(116) + chr(9924 - 9822) + chr(0b10010 + 0o33) + chr(56)))(AIvJRzLdDfgF):
OeWW0F1dBPRQ = IDJ2eXGCBCDu.squeeze(OeWW0F1dBPRQ, axis=ehT0Px3KOsy9(chr(700 - 652) + chr(0b1100001 + 0o16) + chr(1954 - 1904), ord("\x08")))
if c2A0yzQpDQB3(xafqLlk3kkUe(Qas9W3D0Xbzi, xafqLlk3kkUe(SXOLrMavuUCe(b'L\xc2\xbb\x16b\xc8\xb9x%'), chr(100) + '\x65' + chr(0b1100011) + '\x6f' + '\x64' + chr(0b1010 + 0o133))(chr(0b1000000 + 0o65) + chr(0b1010100 + 0o40) + chr(102) + '\x2d' + chr(0b111 + 0o61)))()) > ehT0Px3KOsy9('\060' + chr(111) + '\x33', 0b1000):
Qas9W3D0Xbzi = IDJ2eXGCBCDu.squeeze(Qas9W3D0Xbzi, axis=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50), 8))
Qas9W3D0Xbzi = WOnrfm4dlYcf.add_timing_signal_1d(Qas9W3D0Xbzi)
SqiSOtYOqOJH = WOnrfm4dlYcf.multihead_attention(jSKPaHwSAfVv.layer_preprocess(OeWW0F1dBPRQ, n4ljua2gi1Pr), Qas9W3D0Xbzi, None, n4ljua2gi1Pr.Hj_JCZasfmqG or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.PZHUuenu09ti or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.vRVqPOZ1hUG7, n4ljua2gi1Pr.RdMRr3qkYioQ)
MsbwfslwLjRO = jSKPaHwSAfVv.layer_postprocess(OeWW0F1dBPRQ, SqiSOtYOqOJH, n4ljua2gi1Pr)
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'N\xdf\xbf(\x7f\xc4\x87l)\xdd|'), chr(0b1010011 + 0o21) + chr(0b1100 + 0o131) + chr(6872 - 6773) + chr(0b101000 + 0o107) + '\x64' + chr(101))(chr(0b1110101) + '\164' + '\x66' + chr(0b111 + 0o46) + chr(0b101 + 0o63)))(MsbwfslwLjRO, axis=ehT0Px3KOsy9(chr(0b110000) + chr(8833 - 8722) + '\062', 8))
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_vae.py
|
top_k_softmax
|
def top_k_softmax(x, k):
"""Calculate softmax(x), select top-k and rescale to sum to 1."""
x = tf.nn.softmax(x)
top_x, _ = tf.nn.top_k(x, k=k+1)
min_top = tf.reduce_min(top_x, axis=-1, keepdims=True)
x = tf.nn.relu((x - min_top) + 1e-12)
x /= tf.reduce_sum(x, axis=-1, keepdims=True)
return x, tf.reduce_max(top_x, axis=-1)
|
python
|
def top_k_softmax(x, k):
"""Calculate softmax(x), select top-k and rescale to sum to 1."""
x = tf.nn.softmax(x)
top_x, _ = tf.nn.top_k(x, k=k+1)
min_top = tf.reduce_min(top_x, axis=-1, keepdims=True)
x = tf.nn.relu((x - min_top) + 1e-12)
x /= tf.reduce_sum(x, axis=-1, keepdims=True)
return x, tf.reduce_max(top_x, axis=-1)
|
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Calculate softmax(x), select top-k and rescale to sum to 1.
|
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272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_vae.py#L93-L100
|
train
|
Calculate softmax ( x ) select top - k and rescale to sum to 1.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(0b11010 + 0o33), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(50) + chr(0b100101 + 0o22), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + chr(656 - 605) + chr(0b110100) + chr(1900 - 1848), 0o10), ehT0Px3KOsy9(chr(48) + chr(721 - 610) + chr(0b1111 + 0o43) + chr(0b10011 + 0o43) + chr(0b11001 + 0o34), 61839 - 61831), ehT0Px3KOsy9('\x30' + '\157' + chr(2760 - 2706) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\063' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(8182 - 8071) + chr(50) + '\065' + chr(0b100111 + 0o20), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101 + 0o54) + chr(0b110010) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1271 - 1160) + chr(0b110010) + '\060' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(0b110111) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1621 - 1567) + '\x31', 0b1000), ehT0Px3KOsy9(chr(1974 - 1926) + '\x6f' + chr(51) + '\x31' + chr(1227 - 1172), ord("\x08")), ehT0Px3KOsy9(chr(1252 - 1204) + chr(111) + '\062' + chr(0b101100 + 0o13) + chr(906 - 853), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\063' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(5213 - 5102) + chr(313 - 263) + chr(0b110111 + 0o0) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(1981 - 1932) + chr(55) + chr(0b11001 + 0o34), 33234 - 33226), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(2521 - 2469) + chr(2261 - 2209), 8), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1 + 0o156) + chr(50) + chr(0b100010 + 0o24) + chr(1486 - 1438), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2100 - 2049) + '\067' + '\066', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(2838 - 2783) + '\x36', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b11011 + 0o124) + '\062' + chr(0b101010 + 0o7) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(1775 - 1664) + chr(0b110011) + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(920 - 869) + chr(0b1111 + 0o43) + chr(868 - 816), 23230 - 23222), ehT0Px3KOsy9(chr(48) + chr(11922 - 11811) + chr(2275 - 2224) + chr(2155 - 2107) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(959 - 911) + '\x6f' + '\065' + chr(0b110001 + 0o4), 0o10), ehT0Px3KOsy9('\x30' + chr(819 - 708) + '\063' + chr(51) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(0b110010) + '\x31', 23242 - 23234), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(54) + chr(516 - 461), 0o10), ehT0Px3KOsy9(chr(1389 - 1341) + chr(0b1101111) + chr(51) + chr(51) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10958 - 10847) + '\063' + '\065' + chr(1560 - 1507), 34341 - 34333), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(2468 - 2417), ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + '\063' + chr(0b100010 + 0o24) + '\063', 8197 - 8189), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(51), 21909 - 21901), ehT0Px3KOsy9('\060' + chr(111) + '\066' + chr(0b10010 + 0o43), 0o10), ehT0Px3KOsy9('\x30' + chr(6442 - 6331) + chr(1681 - 1632) + chr(0b110110) + '\063', 0b1000), ehT0Px3KOsy9(chr(501 - 453) + chr(0b1101111) + '\x32' + chr(0b100110 + 0o21), 60812 - 60804), ehT0Px3KOsy9(chr(48) + '\157' + chr(1362 - 1308) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1437 - 1387) + '\x33', 61083 - 61075), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + '\063' + chr(1281 - 1229) + '\061', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(53) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'#'), chr(8784 - 8684) + chr(0b110110 + 0o57) + chr(0b111100 + 0o47) + chr(111) + chr(9040 - 8940) + chr(0b1000101 + 0o40))(chr(117) + chr(0b11 + 0o161) + chr(102) + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def vdfbjKKmFmje(OeWW0F1dBPRQ, OolUPRJhRaJd):
OeWW0F1dBPRQ = IDJ2eXGCBCDu.nn.softmax(OeWW0F1dBPRQ)
(fVsjeSxpT6vT, VNGQdHSFPrso) = IDJ2eXGCBCDu.nn.top_k(OeWW0F1dBPRQ, k=OolUPRJhRaJd + ehT0Px3KOsy9(chr(2144 - 2096) + '\157' + chr(0b11111 + 0o22), 0b1000))
Vm8kfi1l_bf2 = IDJ2eXGCBCDu.reduce_min(fVsjeSxpT6vT, axis=-ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061', 8), keepdims=ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + '\061', 8))
OeWW0F1dBPRQ = IDJ2eXGCBCDu.nn.relu(OeWW0F1dBPRQ - Vm8kfi1l_bf2 + 1e-12)
OeWW0F1dBPRQ /= IDJ2eXGCBCDu.reduce_sum(OeWW0F1dBPRQ, axis=-ehT0Px3KOsy9(chr(1038 - 990) + '\157' + chr(49), 8), keepdims=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100001 + 0o20), 8))
return (OeWW0F1dBPRQ, xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f}\xf3\x91\xd6R\x85\xc21\xfa'), '\144' + chr(101) + chr(0b1100011) + '\157' + chr(0b1100100) + '\145')(chr(6494 - 6377) + '\164' + chr(3664 - 3562) + '\x2d' + chr(980 - 924)))(fVsjeSxpT6vT, axis=-ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001), 8)))
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_vae.py
|
compress
|
def compress(x, c, is_2d, hparams, name):
"""Compress."""
with tf.variable_scope(name):
# Run compression by strided convs.
cur = x
k1 = (3, 3) if is_2d else (3, 1)
k2 = (2, 2) if is_2d else (2, 1)
cur = residual_conv(cur, hparams.num_compress_steps, k1, hparams, "rc")
if c is not None and hparams.do_attend_compress:
cur = attend(cur, c, hparams, "compress_attend")
for i in range(hparams.num_compress_steps):
if hparams.do_residual_compress:
cur = residual_conv(cur, hparams.num_compress_steps, k1, hparams,
"rc_%d" % i)
cur = common_layers.conv_block(
cur, hparams.hidden_size, [((1, 1), k2)],
strides=k2, name="compress_%d" % i)
return cur
|
python
|
def compress(x, c, is_2d, hparams, name):
"""Compress."""
with tf.variable_scope(name):
# Run compression by strided convs.
cur = x
k1 = (3, 3) if is_2d else (3, 1)
k2 = (2, 2) if is_2d else (2, 1)
cur = residual_conv(cur, hparams.num_compress_steps, k1, hparams, "rc")
if c is not None and hparams.do_attend_compress:
cur = attend(cur, c, hparams, "compress_attend")
for i in range(hparams.num_compress_steps):
if hparams.do_residual_compress:
cur = residual_conv(cur, hparams.num_compress_steps, k1, hparams,
"rc_%d" % i)
cur = common_layers.conv_block(
cur, hparams.hidden_size, [((1, 1), k2)],
strides=k2, name="compress_%d" % i)
return cur
|
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] |
Compress.
|
[
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_vae.py#L115-L132
|
train
|
Compress the input tensor x using strided convs.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(1393 - 1338) + chr(2333 - 2279), 0o10), ehT0Px3KOsy9('\x30' + chr(11728 - 11617) + '\x32' + chr(0b10100 + 0o41) + '\061', 37551 - 37543), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b0 + 0o157) + '\x32' + chr(0b110101) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\067', 41891 - 41883), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b110011) + '\067', 63032 - 63024), ehT0Px3KOsy9(chr(48) + chr(0b1010011 + 0o34) + chr(0b110010) + '\x37' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + '\x33' + '\x33' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2580 - 2469) + '\x32' + chr(0b101011 + 0o10) + chr(945 - 890), 0o10), ehT0Px3KOsy9(chr(1226 - 1178) + chr(0b1101111) + chr(0b1111 + 0o42) + chr(2387 - 2333) + chr(733 - 680), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\067' + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101001 + 0o10) + '\062' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(51) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9457 - 9346) + chr(51) + chr(0b10011 + 0o44) + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(8942 - 8831) + chr(0b110001) + chr(0b10010 + 0o43) + '\x37', 6981 - 6973), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\x32' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(1945 - 1834) + '\x32' + '\x36' + '\x30', 61964 - 61956), ehT0Px3KOsy9(chr(1222 - 1174) + chr(0b11110 + 0o121) + '\x31' + chr(54) + '\x31', 39485 - 39477), ehT0Px3KOsy9('\060' + chr(111) + '\x36' + '\062', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x33' + '\x31' + '\065', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + '\067' + chr(0b1011 + 0o53), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(50) + chr(0b1011 + 0o47), 49513 - 49505), ehT0Px3KOsy9('\x30' + chr(0b100110 + 0o111) + chr(350 - 297) + chr(0b1100 + 0o53), 62167 - 62159), ehT0Px3KOsy9('\x30' + chr(1836 - 1725) + chr(50) + chr(54) + '\066', 0o10), ehT0Px3KOsy9(chr(48) + chr(4117 - 4006) + chr(0b110001) + '\x34' + chr(0b100 + 0o56), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\x35' + '\067', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(699 - 648) + '\x34' + chr(0b110011), 50826 - 50818), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + chr(0b11000 + 0o35), 0o10), ehT0Px3KOsy9(chr(48) + chr(5592 - 5481) + chr(0b111 + 0o54) + chr(55) + chr(475 - 427), 23249 - 23241), ehT0Px3KOsy9('\060' + '\x6f' + chr(128 - 79) + '\061' + chr(0b110000 + 0o6), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10001 + 0o42) + '\066' + chr(0b100000 + 0o26), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100011 + 0o16) + chr(48) + chr(1398 - 1350), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\x32' + chr(227 - 175), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3003 - 2892) + chr(53) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7014 - 6903) + chr(0b110001) + chr(51) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1936 - 1887) + chr(50) + chr(903 - 854), 37527 - 37519), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b110011) + '\060', 63727 - 63719), ehT0Px3KOsy9(chr(48) + chr(7381 - 7270) + '\061' + chr(716 - 664) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1815 - 1765) + '\065' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100001 + 0o21) + '\060' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b100 + 0o153) + chr(0b110001) + chr(1334 - 1286) + '\x35', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110101) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'P'), chr(100) + chr(4161 - 4060) + chr(99) + chr(111) + '\x64' + '\145')(chr(0b100101 + 0o120) + chr(0b1110100) + chr(4492 - 4390) + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def xNrsUM6GazDP(OeWW0F1dBPRQ, qzn1Ctg9WgNh, UIOEfhW7N_Ua, n4ljua2gi1Pr, AIvJRzLdDfgF):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xc8\xd9v>\xd9\xb1\xfa*\xca4s\x8e\n'), chr(100) + chr(0b1100101) + chr(0b100011 + 0o100) + '\x6f' + chr(2320 - 2220) + chr(5043 - 4942))(chr(117) + '\164' + chr(5919 - 5817) + chr(45) + '\x38'))(AIvJRzLdDfgF):
wL6S4kgnTowq = OeWW0F1dBPRQ
GSzKJmkSuLTa = (ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(9187 - 9076) + chr(0b110011), 8)) if UIOEfhW7N_Ua else (ehT0Px3KOsy9('\x30' + '\x6f' + '\x33', 8), ehT0Px3KOsy9(chr(1079 - 1031) + chr(0b1101111) + '\061', 0o10))
b_VHuxu0okoq = (ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010), 22167 - 22159), ehT0Px3KOsy9(chr(1190 - 1142) + '\x6f' + chr(50), 8)) if UIOEfhW7N_Ua else (ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50), 8), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + chr(0b110001), 8))
wL6S4kgnTowq = c7tmxGI2JxIE(wL6S4kgnTowq, n4ljua2gi1Pr._y1Py7UE3OKS, GSzKJmkSuLTa, n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c\xca'), '\x64' + '\x65' + chr(99) + '\x6f' + '\x64' + chr(1779 - 1678))('\x75' + chr(12215 - 12099) + chr(0b1100110) + chr(0b10 + 0o53) + chr(0b10100 + 0o44)))
if qzn1Ctg9WgNh is not None and xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a\xc6\xf4~+\xcf\xb8\xf1\x11\xe64s\x93\x1f\xa0\xd5\x02A'), chr(0b1110 + 0o126) + chr(101) + chr(99) + chr(0b1101111) + chr(100) + chr(101))(chr(0b1010100 + 0o41) + '\164' + chr(0b1100110) + chr(0b11010 + 0o23) + chr(0b11 + 0o65))):
wL6S4kgnTowq = qfze1j7ouKTp(wL6S4kgnTowq, qzn1Ctg9WgNh, n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1d\xc6\xc6o-\xde\xae\xec*\xd8#h\x9b\x01\xb6'), chr(3545 - 3445) + '\145' + chr(99) + chr(0b1101111) + chr(0b1100100) + '\x65')('\x75' + '\164' + '\x66' + chr(0b101101) + chr(2524 - 2468)))
for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'!\xd0\x9aO&\x8c\x88\xdaF\xf6\x1cO'), '\x64' + chr(6335 - 6234) + chr(0b100001 + 0o102) + '\x6f' + chr(7612 - 7512) + chr(5493 - 5392))('\165' + chr(0b1100000 + 0o24) + chr(102) + '\055' + chr(0b111000)))):
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a\xc6\xf4m:\xc8\xb4\xfb\x00\xd8;C\x9d\x00\xbf\xc0\x03W\xbe\x8d'), '\x64' + chr(0b1001111 + 0o26) + '\x63' + chr(5728 - 5617) + chr(2729 - 2629) + '\145')(chr(117) + '\164' + chr(0b1100110) + chr(0b101101) + chr(330 - 274))):
wL6S4kgnTowq = c7tmxGI2JxIE(wL6S4kgnTowq, n4ljua2gi1Pr._y1Py7UE3OKS, GSzKJmkSuLTa, n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c\xca\xf4:;'), '\144' + chr(0b1100101) + '\x63' + '\157' + '\144' + chr(4028 - 3927))(chr(117) + '\x74' + chr(102) + '\x2d' + chr(56)) % WVxHKyX45z_L)
wL6S4kgnTowq = jSKPaHwSAfVv.conv_block(wL6S4kgnTowq, n4ljua2gi1Pr.qzoyXN3kdhDL, [((ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b110101 + 0o72) + chr(0b10101 + 0o34), 8), ehT0Px3KOsy9('\x30' + chr(10725 - 10614) + chr(0b110001), 8)), b_VHuxu0okoq)], strides=b_VHuxu0okoq, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x1d\xc6\xc6o-\xde\xae\xec*\x9c3'), chr(0b1100100) + chr(4841 - 4740) + chr(0b1100011) + chr(111) + chr(4752 - 4652) + chr(1319 - 1218))(chr(117) + chr(0b1111 + 0o145) + chr(3751 - 3649) + chr(0b101101) + chr(2404 - 2348)) % WVxHKyX45z_L)
return wL6S4kgnTowq
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_vae.py
|
decode_transformer
|
def decode_transformer(encoder_output,
encoder_decoder_attention_bias,
targets,
hparams,
name,
task=None,
causal=True):
"""Original Transformer decoder."""
orig_hparams = hparams
with tf.variable_scope(name):
if task is None:
task = hparams.task
if task == "translate":
targets = common_layers.flatten4d3d(targets)
decoder_input, decoder_self_bias = (
transformer.transformer_prepare_decoder(targets, hparams))
decoder_input = tf.nn.dropout(decoder_input,
1.0 - hparams.layer_prepostprocess_dropout)
if not causal:
decoder_self_bias *= 0.
decoder_output = transformer.transformer_decoder(
decoder_input,
encoder_output,
decoder_self_bias,
encoder_decoder_attention_bias,
hparams)
decoder_output = tf.expand_dims(decoder_output, axis=2)
else:
assert task == "image"
inputs = None
# have to reshape targets as b, 32, 32, 3 * hidden size] beacuse otherwise
# prepare_image will choke
targets = tf.reshape(targets, [tf.shape(targets)[0], hparams.img_len,
hparams.img_len,
hparams.num_channels*hparams.hidden_size])
# Prepare decoder inputs and bias.
# TODO(nikip): Make prepare_decoder return bias
decoder_input, _, _ = cia.prepare_decoder(targets, hparams)
bias = None
# Add class label to decoder input.
if not hparams.drop_inputs:
decoder_input += tf.reshape(
inputs,
[common_layers.shape_list(targets)[0], 1, 1, hparams.hidden_size])
decoder_output = cia.transformer_decoder_layers(
decoder_input,
encoder_output=None,
num_layers=hparams.num_decoder_layers or hparams.num_hidden_layers,
hparams=hparams,
self_attention_bias=bias,
attention_type=hparams.dec_attention_type,
name="decoder")
decoder_output_shape = common_layers.shape_list(decoder_output)
decoder_output = tf.reshape(decoder_output, [decoder_output_shape[0], -1, 1,
hparams.hidden_size])
# Expand since t2t expects 4d tensors.
hparams = orig_hparams
return decoder_output
|
python
|
def decode_transformer(encoder_output,
encoder_decoder_attention_bias,
targets,
hparams,
name,
task=None,
causal=True):
"""Original Transformer decoder."""
orig_hparams = hparams
with tf.variable_scope(name):
if task is None:
task = hparams.task
if task == "translate":
targets = common_layers.flatten4d3d(targets)
decoder_input, decoder_self_bias = (
transformer.transformer_prepare_decoder(targets, hparams))
decoder_input = tf.nn.dropout(decoder_input,
1.0 - hparams.layer_prepostprocess_dropout)
if not causal:
decoder_self_bias *= 0.
decoder_output = transformer.transformer_decoder(
decoder_input,
encoder_output,
decoder_self_bias,
encoder_decoder_attention_bias,
hparams)
decoder_output = tf.expand_dims(decoder_output, axis=2)
else:
assert task == "image"
inputs = None
# have to reshape targets as b, 32, 32, 3 * hidden size] beacuse otherwise
# prepare_image will choke
targets = tf.reshape(targets, [tf.shape(targets)[0], hparams.img_len,
hparams.img_len,
hparams.num_channels*hparams.hidden_size])
# Prepare decoder inputs and bias.
# TODO(nikip): Make prepare_decoder return bias
decoder_input, _, _ = cia.prepare_decoder(targets, hparams)
bias = None
# Add class label to decoder input.
if not hparams.drop_inputs:
decoder_input += tf.reshape(
inputs,
[common_layers.shape_list(targets)[0], 1, 1, hparams.hidden_size])
decoder_output = cia.transformer_decoder_layers(
decoder_input,
encoder_output=None,
num_layers=hparams.num_decoder_layers or hparams.num_hidden_layers,
hparams=hparams,
self_attention_bias=bias,
attention_type=hparams.dec_attention_type,
name="decoder")
decoder_output_shape = common_layers.shape_list(decoder_output)
decoder_output = tf.reshape(decoder_output, [decoder_output_shape[0], -1, 1,
hparams.hidden_size])
# Expand since t2t expects 4d tensors.
hparams = orig_hparams
return decoder_output
|
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] |
Original Transformer decoder.
|
[
"Original",
"Transformer",
"decoder",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_vae.py#L145-L208
|
train
|
Original Transformer decoder.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(1703 - 1592) + chr(49) + chr(2278 - 2223) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1000001 + 0o56) + '\x31' + chr(0b110111) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + '\x33' + chr(2574 - 2522) + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1019 - 970) + '\060' + chr(53), 65172 - 65164), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(0b110010) + chr(0b1111 + 0o47) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + chr(50) + chr(0b10000 + 0o47) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\x32' + chr(0b11010 + 0o30), 0b1000), ehT0Px3KOsy9(chr(1428 - 1380) + '\157' + chr(2427 - 2376) + chr(2158 - 2105) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(966 - 855) + '\062' + chr(570 - 515) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101010 + 0o5) + '\063' + chr(1385 - 1336) + chr(48), 0o10), ehT0Px3KOsy9(chr(923 - 875) + chr(1963 - 1852) + '\063' + chr(0b110100) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b110011) + chr(0b101 + 0o56), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x34' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + '\x36' + chr(1014 - 963), 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + chr(1574 - 1523) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(387 - 339) + chr(111) + chr(1123 - 1072) + '\x34' + chr(0b100010 + 0o21), 48014 - 48006), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100100 + 0o17) + '\062' + chr(0b101001 + 0o16), 53281 - 53273), ehT0Px3KOsy9(chr(48) + '\x6f' + '\064' + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1024 - 974) + chr(0b110000) + chr(0b101011 + 0o6), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1001 + 0o50) + chr(0b1111 + 0o47) + chr(0b101111 + 0o1), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(0b110111) + chr(0b110100 + 0o3), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100 + 0o55) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10100 + 0o36) + chr(52) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1100101 + 0o12) + '\x33' + chr(53) + chr(1463 - 1415), 0b1000), ehT0Px3KOsy9(chr(529 - 481) + chr(0b1101111) + chr(0b110001) + chr(428 - 375), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + '\061' + chr(1652 - 1602) + '\067', 16602 - 16594), ehT0Px3KOsy9('\060' + '\x6f' + chr(577 - 523) + '\065', 59759 - 59751), ehT0Px3KOsy9(chr(1043 - 995) + '\157' + chr(2038 - 1987) + chr(48) + '\x32', 51149 - 51141), ehT0Px3KOsy9(chr(0b110000) + chr(11209 - 11098) + chr(0b1100 + 0o45) + chr(0b11110 + 0o31) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(48), 0b1000), ehT0Px3KOsy9(chr(496 - 448) + '\x6f' + chr(0b10110 + 0o33) + chr(0b110111) + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b110000) + chr(6863 - 6752) + chr(1663 - 1614) + '\x32' + chr(0b10110 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7066 - 6955) + '\x31' + '\x36' + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1011 + 0o46) + '\x35' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b1 + 0o65) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\x30' + chr(2048 - 2000), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110100 + 0o73) + '\062' + '\x34' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(1788 - 1677) + '\063' + '\x34' + '\x35', 8), ehT0Px3KOsy9(chr(721 - 673) + chr(0b110001 + 0o76) + '\061' + chr(52) + chr(0b100110 + 0o12), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(571 - 523) + chr(0b1101111) + chr(1868 - 1815) + chr(0b11001 + 0o27), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'T'), chr(0b1001111 + 0o25) + '\145' + '\143' + chr(0b1011011 + 0o24) + chr(0b1011001 + 0o13) + '\145')(chr(117) + chr(1222 - 1106) + '\146' + chr(0b101011 + 0o2) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def LYaPq_spmQOb(NE_S2zAzN4PI, iuvkQfeRHfn5, xIEmRseySp3z, n4ljua2gi1Pr, AIvJRzLdDfgF, md1d2YtjKvCG=None, SLKuMbfAa2lK=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1199 - 1150), 0o10)):
pwM2B1VDZg2L = n4ljua2gi1Pr
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c\x1f\x94,\xd2\xdb\xfe\x89\xe7\xbb\x86\xf4~D'), chr(100) + chr(1162 - 1061) + '\143' + chr(0b1101111) + chr(0b1010011 + 0o21) + chr(101))(chr(0b1110101) + '\x74' + chr(0b1000101 + 0o41) + '\x2d' + chr(0b10100 + 0o44)))(AIvJRzLdDfgF):
if md1d2YtjKvCG is None:
md1d2YtjKvCG = n4ljua2gi1Pr.task
if md1d2YtjKvCG == xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\x0c\x87+\xc0\xd5\xf3\x98\xdd'), '\x64' + chr(0b1100101) + '\x63' + chr(7503 - 7392) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(9673 - 9571) + '\055' + chr(56)):
xIEmRseySp3z = jSKPaHwSAfVv.flatten4d3d(xIEmRseySp3z)
(t5Jz9byuSQ65, kBP2FfG4SUrK) = Nk9m9eKr4iuF.transformer_prepare_decoder(xIEmRseySp3z, n4ljua2gi1Pr)
t5Jz9byuSQ65 = IDJ2eXGCBCDu.nn.ag0mwEgWzjYv(t5Jz9byuSQ65, 1.0 - n4ljua2gi1Pr.RW_xSzp18UeS)
if not SLKuMbfAa2lK:
kBP2FfG4SUrK *= 0.0
JU9Bzy7FPp94 = Nk9m9eKr4iuF.transformer_decoder(t5Jz9byuSQ65, NE_S2zAzN4PI, kBP2FfG4SUrK, iuvkQfeRHfn5, n4ljua2gi1Pr)
JU9Bzy7FPp94 = IDJ2eXGCBCDu.expand_dims(JU9Bzy7FPp94, axis=ehT0Px3KOsy9(chr(48) + chr(111) + chr(519 - 469), ord("\x08")))
else:
assert md1d2YtjKvCG == xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\x13\x87"\xd6'), chr(100) + chr(0b10101 + 0o120) + chr(0b101101 + 0o66) + chr(7701 - 7590) + chr(0b1100100) + chr(646 - 545))(chr(0b1110101) + '\x74' + '\x66' + chr(493 - 448) + chr(56))
vXoupepMtCXU = None
xIEmRseySp3z = IDJ2eXGCBCDu.reshape(xIEmRseySp3z, [IDJ2eXGCBCDu.nauYfLglTpcb(xIEmRseySp3z)[ehT0Px3KOsy9(chr(351 - 303) + '\x6f' + chr(0b110000), 8)], n4ljua2gi1Pr.laxD7jy5y7k1, n4ljua2gi1Pr.laxD7jy5y7k1, n4ljua2gi1Pr.X1ZpHSxyKbHn * n4ljua2gi1Pr.qzoyXN3kdhDL])
(t5Jz9byuSQ65, VNGQdHSFPrso, VNGQdHSFPrso) = oIL3U1EOcJgs.prepare_decoder(xIEmRseySp3z, n4ljua2gi1Pr)
IKTrMTySqz10 = None
if not xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\x0c\x895\xec\xd0\xfc\x9c\xcd\xbc\x96'), chr(0b111110 + 0o46) + '\x65' + chr(3859 - 3760) + chr(4228 - 4117) + chr(100) + '\x65')('\x75' + chr(12177 - 12061) + chr(0b1100110) + chr(1394 - 1349) + chr(0b111000))):
t5Jz9byuSQ65 += IDJ2eXGCBCDu.reshape(vXoupepMtCXU, [jSKPaHwSAfVv.shape_list(xIEmRseySp3z)[ehT0Px3KOsy9('\060' + '\157' + '\060', 8)], ehT0Px3KOsy9(chr(48) + '\157' + '\x31', 8), ehT0Px3KOsy9('\060' + chr(9814 - 9703) + '\061', 8), n4ljua2gi1Pr.qzoyXN3kdhDL])
JU9Bzy7FPp94 = oIL3U1EOcJgs.transformer_decoder_layers(t5Jz9byuSQ65, encoder_output=None, num_layers=n4ljua2gi1Pr.pRi6YFAYEnH4 or n4ljua2gi1Pr.jZh5_pLUoOoZ, hparams=n4ljua2gi1Pr, self_attention_bias=IKTrMTySqz10, attention_type=n4ljua2gi1Pr.h3BUtwwQ_ZW5, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\x1b\x85*\xd7\xdc\xe0'), '\x64' + chr(0b1100101) + '\143' + '\157' + '\144' + '\x65')(chr(0b1000 + 0o155) + '\x74' + '\146' + chr(45) + '\x38'))
GWrLUmWe_CNL = jSKPaHwSAfVv.shape_list(JU9Bzy7FPp94)
JU9Bzy7FPp94 = IDJ2eXGCBCDu.reshape(JU9Bzy7FPp94, [GWrLUmWe_CNL[ehT0Px3KOsy9(chr(1965 - 1917) + chr(0b101000 + 0o107) + '\060', 8)], -ehT0Px3KOsy9('\x30' + chr(0b10100 + 0o133) + '\061', 8), ehT0Px3KOsy9('\060' + chr(682 - 571) + chr(49), 8), n4ljua2gi1Pr.qzoyXN3kdhDL])
n4ljua2gi1Pr = pwM2B1VDZg2L
return JU9Bzy7FPp94
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_vae.py
|
ae_latent_softmax
|
def ae_latent_softmax(latents_pred, latents_discrete, hparams):
"""Latent prediction and loss."""
vocab_size = 2 ** hparams.z_size
if hparams.num_decode_blocks < 2:
latents_logits = tf.layers.dense(latents_pred, vocab_size,
name="extra_logits")
if hparams.logit_normalization:
latents_logits *= tf.rsqrt(1e-8 +
tf.reduce_mean(tf.square(latents_logits)))
loss = None
if latents_discrete is not None:
if hparams.soft_em:
# latents_discrete is actually one-hot of multinomial samples
assert hparams.num_decode_blocks == 1
loss = tf.nn.softmax_cross_entropy_with_logits_v2(
labels=latents_discrete, logits=latents_logits)
else:
loss = tf.nn.sparse_softmax_cross_entropy_with_logits(
labels=latents_discrete, logits=latents_logits)
sample = multinomial_sample(
latents_logits, vocab_size, hparams.sampling_temp)
return sample, loss
# Multi-block case.
vocab_bits = int(math.log(vocab_size, 2))
assert vocab_size == 2**vocab_bits
assert vocab_bits % hparams.num_decode_blocks == 0
block_vocab_size = 2**(vocab_bits // hparams.num_decode_blocks)
latents_logits = [
tf.layers.dense(
latents_pred, block_vocab_size, name="extra_logits_%d" % i)
for i in range(hparams.num_decode_blocks)
]
loss = None
if latents_discrete is not None:
losses = []
for i in range(hparams.num_decode_blocks):
d = tf.floormod(tf.floordiv(latents_discrete,
block_vocab_size**i), block_vocab_size)
losses.append(tf.nn.sparse_softmax_cross_entropy_with_logits(
labels=d, logits=latents_logits[i]))
loss = sum(losses)
samples = [multinomial_sample(l, block_vocab_size, hparams.sampling_temp)
for l in latents_logits]
sample = sum([s * block_vocab_size**i for i, s in enumerate(samples)])
return sample, loss
|
python
|
def ae_latent_softmax(latents_pred, latents_discrete, hparams):
"""Latent prediction and loss."""
vocab_size = 2 ** hparams.z_size
if hparams.num_decode_blocks < 2:
latents_logits = tf.layers.dense(latents_pred, vocab_size,
name="extra_logits")
if hparams.logit_normalization:
latents_logits *= tf.rsqrt(1e-8 +
tf.reduce_mean(tf.square(latents_logits)))
loss = None
if latents_discrete is not None:
if hparams.soft_em:
# latents_discrete is actually one-hot of multinomial samples
assert hparams.num_decode_blocks == 1
loss = tf.nn.softmax_cross_entropy_with_logits_v2(
labels=latents_discrete, logits=latents_logits)
else:
loss = tf.nn.sparse_softmax_cross_entropy_with_logits(
labels=latents_discrete, logits=latents_logits)
sample = multinomial_sample(
latents_logits, vocab_size, hparams.sampling_temp)
return sample, loss
# Multi-block case.
vocab_bits = int(math.log(vocab_size, 2))
assert vocab_size == 2**vocab_bits
assert vocab_bits % hparams.num_decode_blocks == 0
block_vocab_size = 2**(vocab_bits // hparams.num_decode_blocks)
latents_logits = [
tf.layers.dense(
latents_pred, block_vocab_size, name="extra_logits_%d" % i)
for i in range(hparams.num_decode_blocks)
]
loss = None
if latents_discrete is not None:
losses = []
for i in range(hparams.num_decode_blocks):
d = tf.floormod(tf.floordiv(latents_discrete,
block_vocab_size**i), block_vocab_size)
losses.append(tf.nn.sparse_softmax_cross_entropy_with_logits(
labels=d, logits=latents_logits[i]))
loss = sum(losses)
samples = [multinomial_sample(l, block_vocab_size, hparams.sampling_temp)
for l in latents_logits]
sample = sum([s * block_vocab_size**i for i, s in enumerate(samples)])
return sample, loss
|
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] |
Latent prediction and loss.
|
[
"Latent",
"prediction",
"and",
"loss",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_vae.py#L221-L267
|
train
|
A function that computes the softmax of the given set of latents.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(207 - 159) + '\x6f' + chr(0b101101 + 0o6) + chr(0b110000) + '\x34', 25685 - 25677), ehT0Px3KOsy9('\060' + chr(9036 - 8925) + '\x34' + chr(2485 - 2431), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(653 - 601) + chr(637 - 589), 5595 - 5587), ehT0Px3KOsy9(chr(103 - 55) + '\x6f' + chr(0b1000 + 0o51) + chr(0b110101) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2357 - 2304) + '\062', 5070 - 5062), ehT0Px3KOsy9(chr(370 - 322) + chr(111) + chr(0b11 + 0o56) + '\066' + chr(0b10 + 0o57), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110000 + 0o77) + '\x32' + chr(0b110101) + chr(956 - 904), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1000011 + 0o54) + chr(0b110011) + chr(49) + chr(1253 - 1202), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(9959 - 9848) + chr(49) + '\062' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(2218 - 2170) + chr(5863 - 5752) + '\x32' + chr(53) + '\x37', 11564 - 11556), ehT0Px3KOsy9(chr(2261 - 2213) + chr(0b1101111) + chr(2350 - 2299) + chr(0b1010 + 0o54) + chr(0b11110 + 0o25), 55966 - 55958), ehT0Px3KOsy9('\060' + chr(0b1100010 + 0o15) + '\063' + chr(0b110010) + chr(50), 13824 - 13816), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\x31' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(216 - 168) + chr(0b1101111) + chr(792 - 741) + '\061' + '\x30', 0o10), ehT0Px3KOsy9(chr(1842 - 1794) + chr(111) + chr(0b11111 + 0o23) + '\066' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11111 + 0o30) + chr(0b10011 + 0o40), 43640 - 43632), ehT0Px3KOsy9('\060' + chr(1452 - 1341) + chr(50) + '\x35' + chr(0b100010 + 0o23), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(54) + chr(0b101001 + 0o11), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\x30' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(0b110011) + '\x36' + chr(957 - 906), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1099 - 1046) + '\x32', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b110101 + 0o72) + chr(1017 - 967) + chr(54) + '\065', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(50) + chr(1285 - 1231), 44386 - 44378), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(2464 - 2409) + chr(0b1111 + 0o41), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(1620 - 1570) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b0 + 0o62) + '\062' + chr(231 - 183), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(0b100101 + 0o15) + chr(0b101 + 0o56) + '\067', 0b1000), ehT0Px3KOsy9(chr(2064 - 2016) + '\157' + chr(1035 - 985) + chr(0b110000) + chr(0b101010 + 0o11), ord("\x08")), ehT0Px3KOsy9(chr(712 - 664) + '\157' + chr(0b100011 + 0o20) + chr(0b100110 + 0o15), 15800 - 15792), ehT0Px3KOsy9(chr(2077 - 2029) + '\157' + chr(310 - 261) + chr(2164 - 2114) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(1187 - 1137) + chr(1428 - 1379), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + '\x35' + chr(908 - 853), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10000 + 0o41) + chr(0b100101 + 0o22) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + chr(0b110001) + chr(2191 - 2137), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11966 - 11855) + '\x37' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(880 - 832) + '\157' + '\x33' + '\062' + chr(0b110010), 8), ehT0Px3KOsy9(chr(223 - 175) + chr(111) + '\064' + chr(0b110000), 8), ehT0Px3KOsy9(chr(1033 - 985) + chr(10489 - 10378) + chr(367 - 316) + '\x34' + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10989 - 10878) + chr(51) + chr(0b110010) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + '\066' + '\x33', 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1001101 + 0o42) + '\065' + chr(491 - 443), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xea'), '\144' + '\145' + '\143' + chr(111) + chr(0b1000110 + 0o36) + '\x65')(chr(117) + chr(116) + '\146' + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def aIL5S5J7gN81(CGc8shFbWMSf, z2Exq_eUlctN, n4ljua2gi1Pr):
CeyMIoSyrpkQ = ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b100110 + 0o111) + chr(0b11111 + 0o23), 0b1000) ** n4ljua2gi1Pr.z_size
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaSM3N\x14\xcf\xa46\xca\xac\xb0\xe4\xa7\xd6P\xde'), '\144' + chr(4922 - 4821) + chr(5492 - 5393) + chr(111) + chr(9650 - 9550) + chr(101))(chr(0b111111 + 0o66) + chr(9794 - 9678) + chr(102) + chr(0b110 + 0o47) + '\070')) < ehT0Px3KOsy9('\060' + '\157' + chr(1865 - 1815), 8):
HljACvRa5la1 = IDJ2eXGCBCDu.layers.dense(CGc8shFbWMSf, CeyMIoSyrpkQ, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1^T\x1eK.\xc0\xa45\xc6\x87\xa1'), chr(0b1010010 + 0o22) + chr(0b1100010 + 0o3) + chr(0b1011101 + 0o6) + chr(111) + chr(100) + '\x65')(chr(117) + '\164' + chr(0b1001100 + 0o32) + chr(1456 - 1411) + chr(2941 - 2885)))
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8IG\x05^.\xc2\xa4 \xc2\x92\xbe\xe1\xb2\xd4O\xc4\xdd\xac'), '\144' + chr(0b1100101) + chr(6404 - 6305) + chr(111) + chr(6430 - 6330) + chr(0b111010 + 0o53))('\x75' + chr(116) + chr(0b1100110) + chr(0b101101) + chr(56))):
HljACvRa5la1 *= IDJ2eXGCBCDu.rsqrt(1e-08 + IDJ2eXGCBCDu.reduce_mean(IDJ2eXGCBCDu.square(HljACvRa5la1)))
YpO0BcZ6fMsf = None
if z2Exq_eUlctN is not None:
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7IF\x18u\x14\xc1'), chr(0b1100100) + '\145' + chr(8711 - 8612) + chr(6333 - 6222) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b1110100) + '\146' + '\x2d' + '\070')):
assert xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaSM3N\x14\xcf\xa46\xca\xac\xb0\xe4\xa7\xd6P\xde'), '\x64' + chr(3689 - 3588) + chr(0b1100011) + '\157' + chr(100) + chr(0b1011101 + 0o10))(chr(8110 - 7993) + '\x74' + chr(0b1100110 + 0o0) + chr(0b11101 + 0o20) + '\070')) == ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101000 + 0o11), 0o10)
YpO0BcZ6fMsf = IDJ2eXGCBCDu.nn.softmax_cross_entropy_with_logits_v2(labels=z2Exq_eUlctN, logits=HljACvRa5la1)
else:
YpO0BcZ6fMsf = IDJ2eXGCBCDu.nn.sparse_softmax_cross_entropy_with_logits(labels=z2Exq_eUlctN, logits=HljACvRa5la1)
aBu4gMMQp6Jg = jGHq2mSq6KXM(HljACvRa5la1, CeyMIoSyrpkQ, n4ljua2gi1Pr.Ep30xVZP6Jij)
return (aBu4gMMQp6Jg, YpO0BcZ6fMsf)
jXUT4D2Zf94W = ehT0Px3KOsy9(yhiZVkosCjBm.log(CeyMIoSyrpkQ, ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062', 8)))
assert CeyMIoSyrpkQ == ehT0Px3KOsy9('\x30' + chr(0b1101101 + 0o2) + '\062', 8) ** jXUT4D2Zf94W
assert jXUT4D2Zf94W % xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaSM3N\x14\xcf\xa46\xca\xac\xb0\xe4\xa7\xd6P\xde'), chr(8213 - 8113) + chr(0b1100101) + chr(99) + chr(0b11 + 0o154) + '\144' + '\145')('\165' + chr(0b11001 + 0o133) + chr(0b1011000 + 0o16) + '\055' + chr(1967 - 1911))) == ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1011 + 0o45), 0o10)
Dzt6iSDvRbIj = ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(50), 8) ** (jXUT4D2Zf94W // n4ljua2gi1Pr.num_decode_blocks)
HljACvRa5la1 = [IDJ2eXGCBCDu.layers.dense(CGc8shFbWMSf, Dzt6iSDvRbIj, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1^T\x1eK.\xc0\xa45\xc6\x87\xa1\xd7\xed\xd1'), chr(0b110010 + 0o62) + chr(0b1100101) + chr(0b1011 + 0o130) + chr(0b1110 + 0o141) + '\x64' + chr(7298 - 7197))(chr(117) + chr(0b11 + 0o161) + chr(8362 - 8260) + '\x2d' + '\070') % WVxHKyX45z_L) for WVxHKyX45z_L in vQr8gNKaIaWE(n4ljua2gi1Pr.num_decode_blocks)]
YpO0BcZ6fMsf = None
if z2Exq_eUlctN is not None:
eJKWkHA7qzlZ = []
for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaSM3N\x14\xcf\xa46\xca\xac\xb0\xe4\xa7\xd6P\xde'), '\x64' + chr(9093 - 8992) + '\x63' + chr(111) + chr(0b1100100) + chr(101))(chr(0b110111 + 0o76) + chr(116) + chr(102) + '\x2d' + chr(2221 - 2165)))):
pd3lxn9vqWxp = IDJ2eXGCBCDu.floormod(IDJ2eXGCBCDu.floordiv(z2Exq_eUlctN, Dzt6iSDvRbIj ** WVxHKyX45z_L), Dzt6iSDvRbIj)
xafqLlk3kkUe(eJKWkHA7qzlZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5VP\tD\x15'), chr(0b111001 + 0o53) + '\145' + chr(99) + chr(0b1101111) + chr(0b1001110 + 0o26) + chr(0b110001 + 0o64))(chr(0b10111 + 0o136) + '\164' + '\146' + chr(0b1111 + 0o36) + chr(0b111000)))(xafqLlk3kkUe(IDJ2eXGCBCDu.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7VA\x1eY\x14\xf3\xb8=\xc9\x87\xbf\xe9\xb0\xeaX\xdf\xdd\xb1\x80u\xd08\x0c!\xff\xef\xfaD&\xf8\x9b\x16QT\xbdG\x89\xa0\x80'), chr(100) + '\x65' + chr(0b1100011) + chr(0b1101111) + '\x64' + '\x65')('\165' + '\164' + '\146' + chr(0b1 + 0o54) + '\070'))(labels=pd3lxn9vqWxp, logits=HljACvRa5la1[WVxHKyX45z_L]))
YpO0BcZ6fMsf = xkxBmo49x2An(eJKWkHA7qzlZ)
db1_IZvznkcy = [jGHq2mSq6KXM(aLoH_Mt0dzwO, Dzt6iSDvRbIj, n4ljua2gi1Pr.Ep30xVZP6Jij) for aLoH_Mt0dzwO in HljACvRa5la1]
aBu4gMMQp6Jg = xkxBmo49x2An([vGrByMSYMp9h * Dzt6iSDvRbIj ** WVxHKyX45z_L for (WVxHKyX45z_L, vGrByMSYMp9h) in YlkZvXL8qwsX(db1_IZvznkcy)])
return (aBu4gMMQp6Jg, YpO0BcZ6fMsf)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_vae.py
|
ae_latent_sample
|
def ae_latent_sample(latents_dense, inputs, ed, embed, iters, hparams):
"""Sample from the latent space in the autoencoder."""
if hparams.num_decode_blocks < 2 and hparams.sampling_temp == 0.0:
# TODO(lukaszkaiser): beam-search only works in non-blocked mode for now.
tf.logging.info("Running beam-search for latents with beam size 1.")
return ae_latent_sample_beam(latents_dense, inputs, ed, embed, hparams)
latents_pred = decode_transformer(inputs, ed, latents_dense, hparams, "extra")
latents_discrete, _ = ae_latent_softmax(latents_pred, None, hparams)
def next_bit(latents_discrete, i):
latents_discrete_prev = latents_discrete
with tf.variable_scope(tf.get_variable_scope(), reuse=True):
latents_dense = embed(latents_discrete)
latents_pred = decode_transformer(
inputs, ed, latents_dense, hparams, "extra")
latents_discrete, _ = ae_latent_softmax(latents_pred, None, hparams)
return tf.concat([latents_discrete_prev[:, :(i+1), :],
latents_discrete[:, (i+1):, :]], axis=1)
for i in range(iters):
latents_discrete = next_bit(latents_discrete, i)
return latents_discrete
|
python
|
def ae_latent_sample(latents_dense, inputs, ed, embed, iters, hparams):
"""Sample from the latent space in the autoencoder."""
if hparams.num_decode_blocks < 2 and hparams.sampling_temp == 0.0:
# TODO(lukaszkaiser): beam-search only works in non-blocked mode for now.
tf.logging.info("Running beam-search for latents with beam size 1.")
return ae_latent_sample_beam(latents_dense, inputs, ed, embed, hparams)
latents_pred = decode_transformer(inputs, ed, latents_dense, hparams, "extra")
latents_discrete, _ = ae_latent_softmax(latents_pred, None, hparams)
def next_bit(latents_discrete, i):
latents_discrete_prev = latents_discrete
with tf.variable_scope(tf.get_variable_scope(), reuse=True):
latents_dense = embed(latents_discrete)
latents_pred = decode_transformer(
inputs, ed, latents_dense, hparams, "extra")
latents_discrete, _ = ae_latent_softmax(latents_pred, None, hparams)
return tf.concat([latents_discrete_prev[:, :(i+1), :],
latents_discrete[:, (i+1):, :]], axis=1)
for i in range(iters):
latents_discrete = next_bit(latents_discrete, i)
return latents_discrete
|
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] |
Sample from the latent space in the autoencoder.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_vae.py#L301-L322
|
train
|
Sample from the latent space in the autoencoder.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(2559 - 2504) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(967 - 916) + chr(149 - 100) + chr(0b1100 + 0o51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\067' + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(54) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(1714 - 1660) + chr(2007 - 1953), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101001 + 0o11) + '\061' + chr(0b11100 + 0o30), 32921 - 32913), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100100 + 0o15) + chr(0b110100) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(1241 - 1193) + chr(111) + chr(483 - 432) + chr(48) + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(569 - 516) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1424 - 1374) + chr(0b110000 + 0o7) + chr(0b110111), 23170 - 23162), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10101 + 0o34) + chr(1265 - 1210) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b110101) + chr(0b101 + 0o57), 42574 - 42566), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(1322 - 1273) + '\060', 0o10), ehT0Px3KOsy9(chr(2213 - 2165) + chr(0b1000100 + 0o53) + chr(2539 - 2488) + chr(0b110111) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1631 - 1581) + '\x36' + chr(2559 - 2507), 0o10), ehT0Px3KOsy9(chr(2091 - 2043) + chr(7477 - 7366) + chr(0b110 + 0o54) + chr(0b110111) + '\x30', 0b1000), ehT0Px3KOsy9(chr(411 - 363) + '\157' + chr(0b11011 + 0o30) + chr(0b110010) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b0 + 0o62) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + '\x37' + chr(648 - 599), 338 - 330), ehT0Px3KOsy9(chr(48) + chr(9824 - 9713) + chr(1613 - 1563) + '\067' + '\x30', 8), ehT0Px3KOsy9(chr(1168 - 1120) + chr(5065 - 4954) + '\061' + chr(0b100100 + 0o16) + chr(55), 46259 - 46251), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(0b110001) + chr(0b110001) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b101000 + 0o107) + chr(938 - 889) + chr(0b110011) + chr(0b11 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10100 + 0o36) + '\061' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\x33' + '\x30', 8), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(1272 - 1217) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110000 + 0o77) + chr(0b101001 + 0o10) + chr(53) + chr(0b1000 + 0o53), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + '\062' + chr(0b11100 + 0o24), 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1001100 + 0o43) + '\x33' + chr(0b110010) + chr(55), 0o10), ehT0Px3KOsy9(chr(1133 - 1085) + chr(0b1101111) + '\061' + chr(49) + chr(0b10101 + 0o40), 64014 - 64006), ehT0Px3KOsy9('\060' + '\x6f' + chr(348 - 297) + chr(0b110011) + '\064', 0o10), ehT0Px3KOsy9(chr(1025 - 977) + chr(6302 - 6191) + '\062' + '\063' + chr(0b11010 + 0o32), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\065' + chr(1304 - 1254), 60663 - 60655), ehT0Px3KOsy9(chr(48) + chr(9902 - 9791) + '\x35' + chr(53), 0b1000), ehT0Px3KOsy9(chr(614 - 566) + chr(0b1101111) + chr(0b110010) + chr(0b101010 + 0o15) + chr(0b110101), 8), ehT0Px3KOsy9(chr(1129 - 1081) + '\157' + chr(0b100101 + 0o16) + chr(0b110101) + chr(174 - 121), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10100 + 0o36), 24280 - 24272), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x37' + chr(0b10100 + 0o42), 0o10), ehT0Px3KOsy9(chr(814 - 766) + chr(0b1101111) + '\061' + chr(0b10001 + 0o40) + chr(1390 - 1337), 8), ehT0Px3KOsy9(chr(1776 - 1728) + chr(9584 - 9473) + chr(0b1100 + 0o51) + chr(55), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b10000 + 0o137) + '\065' + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'S'), '\x64' + chr(0b1100101) + chr(6728 - 6629) + '\x6f' + '\x64' + '\145')(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(768 - 723) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def H2IHGe02_1Ue(dyezpTDvdVyF, vXoupepMtCXU, dTXqLuPC2FBQ, DSKhI6I667G0, xsy4yIlKjQI3, n4ljua2gi1Pr):
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\xb8\xd0h\x12\xe9\x07\xafM\xda!\x0e\xa4\x90\xd7\xd3\xa0'), chr(131 - 31) + '\x65' + chr(99) + chr(111) + chr(0b1110 + 0o126) + chr(101))('\165' + '\164' + '\146' + chr(1826 - 1781) + '\x38')) < ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100011 + 0o17), 8) and xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'8\xbd\x8e\x07\x0e\xda>\x90\x1f\xf5\x17\x06'), chr(6963 - 6863) + '\145' + '\x63' + chr(111) + chr(0b1111 + 0o125) + chr(0b100010 + 0o103))(chr(117) + '\164' + chr(0b1100110) + chr(0b101101) + chr(1871 - 1815))) == 0.0:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'.\xfa\xf5O\x03\xef\x03\xf7C\xd3$\x07'), chr(8793 - 8693) + chr(0b1100101) + '\143' + chr(0b1101111) + '\x64' + chr(0b110101 + 0o60))('\x75' + '\x74' + '\146' + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'/\xb8\xd3Y\x1f\xe2\x03\xe0K\xda\x1f\x01\xe5\x8c\xd1\xd9\xa11\xd1\x981 *\xa94\xdf\x1f\xf5\xb99\xaf\xbc\xddD\xc9\x85"\\(N\x10\xed\xce^\x0c\xe9D\xf1\x07'), chr(0b1100100) + '\x65' + '\x63' + chr(111) + chr(6862 - 6762) + '\145')('\x75' + '\164' + chr(102) + chr(504 - 459) + chr(56)))
return Qh4xGcOn2HHI(dyezpTDvdVyF, vXoupepMtCXU, dTXqLuPC2FBQ, DSKhI6I667G0, n4ljua2gi1Pr)
CGc8shFbWMSf = LYaPq_spmQOb(vXoupepMtCXU, dTXqLuPC2FBQ, dyezpTDvdVyF, n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x18\xb5\xc9E\x17'), '\x64' + '\x65' + '\143' + '\157' + chr(0b100010 + 0o102) + chr(0b1100101))('\165' + chr(0b1000100 + 0o60) + '\146' + '\x2d' + chr(0b111000)))
(z2Exq_eUlctN, VNGQdHSFPrso) = aIL5S5J7gN81(CGc8shFbWMSf, None, n4ljua2gi1Pr)
def LvNH0_JDQCiV(z2Exq_eUlctN, WVxHKyX45z_L):
o9LNiMtDrNhq = z2Exq_eUlctN
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b\xac\xcf^\x17\xee\x08\xa5v\xcc\x1d\x03\xb8\x9a'), chr(6071 - 5971) + '\x65' + chr(9470 - 9371) + chr(111) + chr(6926 - 6826) + chr(1932 - 1831))(chr(0b1010010 + 0o43) + '\164' + chr(102) + chr(45) + chr(1698 - 1642)))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a\xa8\xc9h\x00\xed\x16\xa9H\xdd\x12\t\x97\x8c\xd7\xd7\xa37'), '\x64' + '\x65' + chr(0b1100011) + chr(111) + '\144' + chr(1637 - 1536))(chr(0b10110 + 0o137) + chr(0b110110 + 0o76) + chr(0b1001101 + 0o31) + chr(0b101000 + 0o5) + chr(0b111000)))(), reuse=ehT0Px3KOsy9(chr(484 - 436) + chr(8968 - 8857) + chr(49), 0b1000)):
dyezpTDvdVyF = DSKhI6I667G0(z2Exq_eUlctN)
CGc8shFbWMSf = LYaPq_spmQOb(vXoupepMtCXU, dTXqLuPC2FBQ, dyezpTDvdVyF, n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x18\xb5\xc9E\x17'), chr(0b11000 + 0o114) + '\145' + chr(0b111001 + 0o52) + '\x6f' + chr(0b1100001 + 0o3) + chr(7839 - 7738))(chr(0b1001010 + 0o53) + chr(116) + chr(102) + '\055' + chr(1351 - 1295)))
(z2Exq_eUlctN, VNGQdHSFPrso) = aIL5S5J7gN81(CGc8shFbWMSf, None, n4ljua2gi1Pr)
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xa2\xd3T\x17\xf8'), chr(1538 - 1438) + chr(3464 - 3363) + chr(99) + chr(2072 - 1961) + chr(0b1001111 + 0o25) + chr(101))('\x75' + '\x74' + '\x66' + chr(0b1000 + 0o45) + chr(0b111000)))([o9LNiMtDrNhq[:, :WVxHKyX45z_L + ehT0Px3KOsy9(chr(48) + chr(111) + chr(49), 8), :], z2Exq_eUlctN[:, WVxHKyX45z_L + ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001), 8):, :]], axis=ehT0Px3KOsy9('\060' + '\x6f' + chr(1583 - 1534), 8))
for WVxHKyX45z_L in vQr8gNKaIaWE(xsy4yIlKjQI3):
z2Exq_eUlctN = LvNH0_JDQCiV(z2Exq_eUlctN, WVxHKyX45z_L)
return z2Exq_eUlctN
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_vae.py
|
ae_transformer_internal
|
def ae_transformer_internal(inputs,
targets,
target_space,
hparams,
cache=None,
predict_mask=1.0):
"""AE Transformer, main step used for training."""
# Summaries break with the do_refine cond, turn them off in that case.
global _DO_SUMMARIES
if hparams.do_refine:
_DO_SUMMARIES = False
# Prepare.
if inputs is not None:
batch_size = common_layers.shape_list(inputs)[0]
else:
batch_size = common_layers.shape_list(targets)[0]
targets = tf.reshape(targets, [batch_size, -1, 1, hparams.hidden_size])
# Encoder.
if inputs is not None:
inputs = common_layers.flatten4d3d(inputs)
inputs, ed = encode(inputs, target_space, hparams, "input_enc")
inputs_ex, ed_ex = inputs, ed
else:
ed, inputs_ex, ed_ex = None, None, None
# Autoencoding.
losses = {"extra": tf.constant(0.0), "latent_pred": tf.constant(0.0),
"neg_q_entropy": tf.constant(0.0)}
if hparams.do_ae:
# flatten here
original_targets = targets
original_targets_shape = tf.shape(original_targets)
if hparams.task == "image":
cia.maybe_reshape_4d_to_3d(targets)
if hparams.task == "translate":
if inputs is not None:
max_targets_len_from_inputs = tf.concat([inputs, inputs], axis=1)
else:
max_targets_len_from_inputs = targets
else:
assert hparams.task == "image"
max_targets_len_from_inputs = targets
if hparams.word_shuffle:
tf.logging.info("Using word shuffle with rate = {}".format(
hparams.word_shuffle))
targets_idx = tf.range(start=0,
limit=common_layers.shape_list(targets)[1],
delta=1)
targets_idx = tf.to_float(targets_idx)
noise = tf.random_uniform(shape=common_layers.shape_list(targets_idx),
minval=0,
maxval=1 + hparams.word_shuffle)
targets_idx += noise
permutation = tf.contrib.framework.argsort(targets_idx)
targets_permuted = tf.gather(targets, indices=permutation, axis=1)
targets = targets_permuted
targets, _ = common_layers.pad_to_same_length(
targets, max_targets_len_from_inputs,
final_length_divisible_by=2**hparams.num_compress_steps)
# Add positional information
targets_shape = common_layers.shape_list(targets)
targets = tf.reshape(targets, [targets_shape[0], targets_shape[1],
targets_shape[3]])
targets = common_attention.add_positional_embedding(
targets, hparams.max_length, name="targets_position")
targets = tf.reshape(targets, shape=targets_shape)
if hparams.word_dropout:
mask = tf.random_uniform(shape=common_layers.shape_list(targets),
minval=0.0, maxval=1.0)
targets_noisy = tf.where(mask > hparams.word_dropout, targets,
tf.zeros_like(targets))
else:
targets_noisy = targets
targets_c = compress(targets_noisy, inputs, False, hparams, "compress")
if hparams.mode != tf.estimator.ModeKeys.PREDICT:
# Compress and bottleneck.
latents_dense, latents_discrete, extra_loss, embed, neg_q_entropy = (
hparams.bottleneck(inputs=targets_c,
filter_size=hparams.compress_filter_size,
mode=hparams.mode,
name="vc"))
if _DO_SUMMARIES:
tf.summary.histogram("b0", tf.reshape(latents_discrete[:, 0, :], [-1]))
pc = common_layers.inverse_exp_decay(hparams.startup_steps)
pc = pc if hparams.mode == tf.estimator.ModeKeys.TRAIN else 1.0
cond = tf.less(tf.random_uniform([batch_size]), pc)
latents_dense = tf.where(cond, latents_dense, targets_c)
# TODO(lukaszkaiser): return extra losses batchwise, multiply before mean.
losses["extra"] = extra_loss * tf.reduce_mean(tf.to_float(cond))
# Extra loss predicting latent code from input. Discrete only.
if hparams.bottleneck_kind not in ["dense", "vae"]:
latents_pred = decode_transformer(
inputs_ex, ed_ex,
embed(latents_discrete), hparams, "extra",
task="translate")
_, latent_pred_loss = ae_latent_softmax(
latents_pred, tf.stop_gradient(latents_discrete), hparams)
# Scale by latent dimension for summary so we can compare across
# batches.
if _DO_SUMMARIES:
tf.summary.scalar("latent_pred_loss_mean",
tf.reduce_mean(latent_pred_loss))
if hparams.sum_over_latents:
latent_pred_loss = tf.reduce_sum(latent_pred_loss, [1, 2])
losses["latent_pred"] = tf.reduce_mean(
latent_pred_loss * tf.to_float(cond)) * hparams.prior_scale
losses["neg_q_entropy"] = neg_q_entropy * hparams.entropy_scale
else:
inputs_c = decode_transformer(inputs, ed, targets_c, hparams, "dec_c")
losses["latent_pred"] = tf.reduce_mean(
tf.squared_difference(inputs_c, targets_c)) * 20
def bn_inputs():
with tf.variable_scope(tf.get_variable_scope(), reuse=True):
bn, _, _, _, _ = hparams.bottleneck(
inputs=inputs_c,
filter_size=hparams.compress_filter_size,
mode=hparams.mode,
name="vc")
return bn
inputs_c = bn_inputs()
ptc = 1.0 - common_layers.inverse_lin_decay(200000) * 0.5
ptc = ptc if hparams.mode == tf.estimator.ModeKeys.TRAIN else 1.0
latents_dense = tf.where(tf.less(tf.random_uniform([batch_size]), ptc),
latents_dense, inputs_c)
else:
if hparams.bottleneck_kind in ["dense", "vae"]:
inputs_c = decode_transformer(inputs, ed, targets_c, hparams, "dec_c")
latents_dense, _, _, _, _ = hparams.bottleneck(
inputs=inputs_c,
filter_size=hparams.compress_filter_size,
mode=hparams.mode,
name="vc")
else:
latent_len = common_layers.shape_list(targets_c)[1]
_, _, _, embed, _ = hparams.bottleneck(
inputs=targets_c,
filter_size=hparams.compress_filter_size,
name="vc")
latents_dense = tf.zeros_like(targets_c[:, :latent_len, :, :])
if cache is None:
cache = ae_latent_sample(
latents_dense, inputs_ex, ed_ex, embed, 16, hparams)
latents_dense = embed(cache)
# Postprocess.
d = latents_dense
d_shape = common_layers.shape_list(d)
d = tf.reshape(d, [d_shape[0], d_shape[1], d_shape[3]])
d = common_attention.add_positional_embedding(
d, hparams.max_length, name="latents_position")
d = tf.reshape(d, shape=d_shape)
# decompressing the dense latents
for i in range(hparams.num_compress_steps):
j = hparams.num_compress_steps - i - 1
d = residual_conv(d, 1, (3, 1), hparams, "decompress_rc_%d" % j)
if inputs is not None and hparams.do_attend_decompress:
d = attend(d, inputs, hparams, "decompress_attend_%d" % j)
d = decompress_step(d, hparams, i > 0, False, "decompress_%d" % j)
# Masking.
if hparams.do_mask:
masking = common_layers.inverse_lin_decay(hparams.mask_startup_steps)
masking *= common_layers.inverse_exp_decay(
hparams.mask_startup_steps // 4) # Not much at start.
if not hparams.do_refine:
masking -= tf.random_uniform([]) * hparams.unmasked_percentage
masking = tf.minimum(tf.maximum(masking, 0.0), 1.0)
if hparams.use_predict_mask:
masking = predict_mask
if hparams.mode == tf.estimator.ModeKeys.PREDICT:
masking = predict_mask
mask = tf.less(masking, tf.random_uniform(
common_layers.shape_list(targets)[:-1]))
mask = tf.expand_dims(tf.to_float(mask), 3)
# targets is always [batch, length, 1, depth]
targets = mask * targets + (1.0 - mask) * d
# reshape back to 4d here
if hparams.task == "image":
targets = tf.reshape(targets, original_targets_shape)
res = decode_transformer(inputs, ed, targets, hparams, "decoder",
causal=hparams.causal)
if hparams.do_ae:
if hparams.do_mask and hparams.do_refine:
def refine_res():
# return residual_conv(res, 1, (5, 1), hparams, "refine")
r, _ = encode(tf.squeeze(res, axis=[2]),
target_space, hparams, "refine_enc")
return tf.expand_dims(r, axis=2)
masked_batches = tf.reduce_sum(mask, axis=[1, 2, 3])
all_masked = tf.less(masked_batches, 0.1)
res = tf.where(all_masked, refine_res(), res)
# We'll start training the extra model of latents after mask_startup_steps.
nonlatent_steps = hparams.mask_startup_steps
latent_time = tf.less(nonlatent_steps,
tf.to_int32(tf.train.get_global_step()))
losses["latent_pred"] *= tf.to_float(latent_time)
# res was generated from padded targets, which means it has some extra
# elements. These can cause shape problems when computing loss with respect to
# the original (unpadded) targets. So we remove their extra elements here.
res = res[:, :original_targets_shape[1], :, :]
data_dim = common_layers.shape_list(res)[1]
latent_dim = common_layers.shape_list(targets_c)[1]
return res, losses, cache, data_dim, latent_dim
|
python
|
def ae_transformer_internal(inputs,
targets,
target_space,
hparams,
cache=None,
predict_mask=1.0):
"""AE Transformer, main step used for training."""
# Summaries break with the do_refine cond, turn them off in that case.
global _DO_SUMMARIES
if hparams.do_refine:
_DO_SUMMARIES = False
# Prepare.
if inputs is not None:
batch_size = common_layers.shape_list(inputs)[0]
else:
batch_size = common_layers.shape_list(targets)[0]
targets = tf.reshape(targets, [batch_size, -1, 1, hparams.hidden_size])
# Encoder.
if inputs is not None:
inputs = common_layers.flatten4d3d(inputs)
inputs, ed = encode(inputs, target_space, hparams, "input_enc")
inputs_ex, ed_ex = inputs, ed
else:
ed, inputs_ex, ed_ex = None, None, None
# Autoencoding.
losses = {"extra": tf.constant(0.0), "latent_pred": tf.constant(0.0),
"neg_q_entropy": tf.constant(0.0)}
if hparams.do_ae:
# flatten here
original_targets = targets
original_targets_shape = tf.shape(original_targets)
if hparams.task == "image":
cia.maybe_reshape_4d_to_3d(targets)
if hparams.task == "translate":
if inputs is not None:
max_targets_len_from_inputs = tf.concat([inputs, inputs], axis=1)
else:
max_targets_len_from_inputs = targets
else:
assert hparams.task == "image"
max_targets_len_from_inputs = targets
if hparams.word_shuffle:
tf.logging.info("Using word shuffle with rate = {}".format(
hparams.word_shuffle))
targets_idx = tf.range(start=0,
limit=common_layers.shape_list(targets)[1],
delta=1)
targets_idx = tf.to_float(targets_idx)
noise = tf.random_uniform(shape=common_layers.shape_list(targets_idx),
minval=0,
maxval=1 + hparams.word_shuffle)
targets_idx += noise
permutation = tf.contrib.framework.argsort(targets_idx)
targets_permuted = tf.gather(targets, indices=permutation, axis=1)
targets = targets_permuted
targets, _ = common_layers.pad_to_same_length(
targets, max_targets_len_from_inputs,
final_length_divisible_by=2**hparams.num_compress_steps)
# Add positional information
targets_shape = common_layers.shape_list(targets)
targets = tf.reshape(targets, [targets_shape[0], targets_shape[1],
targets_shape[3]])
targets = common_attention.add_positional_embedding(
targets, hparams.max_length, name="targets_position")
targets = tf.reshape(targets, shape=targets_shape)
if hparams.word_dropout:
mask = tf.random_uniform(shape=common_layers.shape_list(targets),
minval=0.0, maxval=1.0)
targets_noisy = tf.where(mask > hparams.word_dropout, targets,
tf.zeros_like(targets))
else:
targets_noisy = targets
targets_c = compress(targets_noisy, inputs, False, hparams, "compress")
if hparams.mode != tf.estimator.ModeKeys.PREDICT:
# Compress and bottleneck.
latents_dense, latents_discrete, extra_loss, embed, neg_q_entropy = (
hparams.bottleneck(inputs=targets_c,
filter_size=hparams.compress_filter_size,
mode=hparams.mode,
name="vc"))
if _DO_SUMMARIES:
tf.summary.histogram("b0", tf.reshape(latents_discrete[:, 0, :], [-1]))
pc = common_layers.inverse_exp_decay(hparams.startup_steps)
pc = pc if hparams.mode == tf.estimator.ModeKeys.TRAIN else 1.0
cond = tf.less(tf.random_uniform([batch_size]), pc)
latents_dense = tf.where(cond, latents_dense, targets_c)
# TODO(lukaszkaiser): return extra losses batchwise, multiply before mean.
losses["extra"] = extra_loss * tf.reduce_mean(tf.to_float(cond))
# Extra loss predicting latent code from input. Discrete only.
if hparams.bottleneck_kind not in ["dense", "vae"]:
latents_pred = decode_transformer(
inputs_ex, ed_ex,
embed(latents_discrete), hparams, "extra",
task="translate")
_, latent_pred_loss = ae_latent_softmax(
latents_pred, tf.stop_gradient(latents_discrete), hparams)
# Scale by latent dimension for summary so we can compare across
# batches.
if _DO_SUMMARIES:
tf.summary.scalar("latent_pred_loss_mean",
tf.reduce_mean(latent_pred_loss))
if hparams.sum_over_latents:
latent_pred_loss = tf.reduce_sum(latent_pred_loss, [1, 2])
losses["latent_pred"] = tf.reduce_mean(
latent_pred_loss * tf.to_float(cond)) * hparams.prior_scale
losses["neg_q_entropy"] = neg_q_entropy * hparams.entropy_scale
else:
inputs_c = decode_transformer(inputs, ed, targets_c, hparams, "dec_c")
losses["latent_pred"] = tf.reduce_mean(
tf.squared_difference(inputs_c, targets_c)) * 20
def bn_inputs():
with tf.variable_scope(tf.get_variable_scope(), reuse=True):
bn, _, _, _, _ = hparams.bottleneck(
inputs=inputs_c,
filter_size=hparams.compress_filter_size,
mode=hparams.mode,
name="vc")
return bn
inputs_c = bn_inputs()
ptc = 1.0 - common_layers.inverse_lin_decay(200000) * 0.5
ptc = ptc if hparams.mode == tf.estimator.ModeKeys.TRAIN else 1.0
latents_dense = tf.where(tf.less(tf.random_uniform([batch_size]), ptc),
latents_dense, inputs_c)
else:
if hparams.bottleneck_kind in ["dense", "vae"]:
inputs_c = decode_transformer(inputs, ed, targets_c, hparams, "dec_c")
latents_dense, _, _, _, _ = hparams.bottleneck(
inputs=inputs_c,
filter_size=hparams.compress_filter_size,
mode=hparams.mode,
name="vc")
else:
latent_len = common_layers.shape_list(targets_c)[1]
_, _, _, embed, _ = hparams.bottleneck(
inputs=targets_c,
filter_size=hparams.compress_filter_size,
name="vc")
latents_dense = tf.zeros_like(targets_c[:, :latent_len, :, :])
if cache is None:
cache = ae_latent_sample(
latents_dense, inputs_ex, ed_ex, embed, 16, hparams)
latents_dense = embed(cache)
# Postprocess.
d = latents_dense
d_shape = common_layers.shape_list(d)
d = tf.reshape(d, [d_shape[0], d_shape[1], d_shape[3]])
d = common_attention.add_positional_embedding(
d, hparams.max_length, name="latents_position")
d = tf.reshape(d, shape=d_shape)
# decompressing the dense latents
for i in range(hparams.num_compress_steps):
j = hparams.num_compress_steps - i - 1
d = residual_conv(d, 1, (3, 1), hparams, "decompress_rc_%d" % j)
if inputs is not None and hparams.do_attend_decompress:
d = attend(d, inputs, hparams, "decompress_attend_%d" % j)
d = decompress_step(d, hparams, i > 0, False, "decompress_%d" % j)
# Masking.
if hparams.do_mask:
masking = common_layers.inverse_lin_decay(hparams.mask_startup_steps)
masking *= common_layers.inverse_exp_decay(
hparams.mask_startup_steps // 4) # Not much at start.
if not hparams.do_refine:
masking -= tf.random_uniform([]) * hparams.unmasked_percentage
masking = tf.minimum(tf.maximum(masking, 0.0), 1.0)
if hparams.use_predict_mask:
masking = predict_mask
if hparams.mode == tf.estimator.ModeKeys.PREDICT:
masking = predict_mask
mask = tf.less(masking, tf.random_uniform(
common_layers.shape_list(targets)[:-1]))
mask = tf.expand_dims(tf.to_float(mask), 3)
# targets is always [batch, length, 1, depth]
targets = mask * targets + (1.0 - mask) * d
# reshape back to 4d here
if hparams.task == "image":
targets = tf.reshape(targets, original_targets_shape)
res = decode_transformer(inputs, ed, targets, hparams, "decoder",
causal=hparams.causal)
if hparams.do_ae:
if hparams.do_mask and hparams.do_refine:
def refine_res():
# return residual_conv(res, 1, (5, 1), hparams, "refine")
r, _ = encode(tf.squeeze(res, axis=[2]),
target_space, hparams, "refine_enc")
return tf.expand_dims(r, axis=2)
masked_batches = tf.reduce_sum(mask, axis=[1, 2, 3])
all_masked = tf.less(masked_batches, 0.1)
res = tf.where(all_masked, refine_res(), res)
# We'll start training the extra model of latents after mask_startup_steps.
nonlatent_steps = hparams.mask_startup_steps
latent_time = tf.less(nonlatent_steps,
tf.to_int32(tf.train.get_global_step()))
losses["latent_pred"] *= tf.to_float(latent_time)
# res was generated from padded targets, which means it has some extra
# elements. These can cause shape problems when computing loss with respect to
# the original (unpadded) targets. So we remove their extra elements here.
res = res[:, :original_targets_shape[1], :, :]
data_dim = common_layers.shape_list(res)[1]
latent_dim = common_layers.shape_list(targets_c)[1]
return res, losses, cache, data_dim, latent_dim
|
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AE Transformer, main step used for training.
|
[
"AE",
"Transformer",
"main",
"step",
"used",
"for",
"training",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_vae.py#L325-L536
|
train
|
A training step used for training.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + '\x36' + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110111) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7438 - 7327) + '\x34' + chr(0b1010 + 0o55), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1425 - 1374) + '\062' + chr(1363 - 1315), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b10101 + 0o35), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1352 - 1303) + '\064' + chr(0b110001 + 0o2), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(53) + chr(2287 - 2234), 32292 - 32284), ehT0Px3KOsy9(chr(658 - 610) + '\x6f' + chr(295 - 245) + '\060' + chr(0b101000 + 0o14), 59649 - 59641), ehT0Px3KOsy9('\x30' + chr(6259 - 6148) + '\061' + chr(2010 - 1960) + chr(100 - 52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101101 + 0o5) + chr(0b101110 + 0o3) + chr(169 - 116), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b110111) + chr(2241 - 2193), 0b1000), ehT0Px3KOsy9(chr(1679 - 1631) + chr(0b1101111) + chr(0b11000 + 0o34) + chr(54), 49937 - 49929), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(54) + chr(0b100101 + 0o22), 47388 - 47380), ehT0Px3KOsy9(chr(0b110000) + chr(0b101101 + 0o102) + chr(0b10000 + 0o42) + chr(0b1100 + 0o51) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + '\063' + chr(2314 - 2264) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101 + 0o152) + chr(51) + chr(51) + chr(0b100011 + 0o20), 48716 - 48708), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2266 - 2217) + chr(0b10100 + 0o41) + chr(0b11110 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(1380 - 1332) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + '\x31' + '\x36', 20880 - 20872), ehT0Px3KOsy9(chr(754 - 706) + chr(0b1101111) + chr(2532 - 2481) + chr(0b110011) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(2037 - 1989) + '\x6f' + chr(0b100111 + 0o14) + chr(0b1000 + 0o54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + '\065' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1100011 + 0o14) + chr(0b110001) + chr(0b111 + 0o52), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(741 - 691) + chr(55) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2902 - 2791) + chr(0b11010 + 0o27) + chr(48) + chr(2145 - 2090), 45868 - 45860), ehT0Px3KOsy9(chr(48) + chr(1706 - 1595) + chr(591 - 538) + '\062', 0o10), ehT0Px3KOsy9(chr(395 - 347) + chr(111) + '\x33' + chr(0b100101 + 0o17) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(6188 - 6077) + '\063' + '\x33' + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(2677 - 2566) + chr(1709 - 1660) + chr(0b11100 + 0o25) + chr(0b111 + 0o56), 22938 - 22930), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(50) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(1075 - 1022) + '\061', 32405 - 32397), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + chr(0b110010) + chr(0b110001) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(55) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + '\x31' + '\067' + '\x36', 0b1000), ehT0Px3KOsy9(chr(1337 - 1289) + chr(111) + chr(0b110011) + chr(0b101011 + 0o7) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b110111) + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(0b100 + 0o153) + '\x31' + chr(0b110000) + chr(1303 - 1248), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(0b101 + 0o57) + chr(601 - 548), 35278 - 35270), ehT0Px3KOsy9(chr(48) + chr(1174 - 1063) + chr(0b1010 + 0o47) + chr(0b101010 + 0o7) + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(51), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + '\x35' + chr(199 - 151), 16804 - 16796)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'['), '\144' + chr(6726 - 6625) + chr(99) + chr(11091 - 10980) + chr(0b1100100) + '\x65')(chr(7339 - 7222) + chr(0b1111 + 0o145) + chr(0b1100110) + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def IxhIKnhOVf_A(vXoupepMtCXU, xIEmRseySp3z, uFIGUtii6RGG, n4ljua2gi1Pr, j1lPDdxcDbRB=None, zX7jLRevnG0Y=1.0):
global U2tlq1O18sng
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x11Sx\xa2o\x05\x84\xea5'), chr(7292 - 7192) + chr(101) + '\x63' + chr(2407 - 2296) + chr(100) + chr(193 - 92))(chr(0b1110101) + chr(116) + '\146' + '\x2d' + chr(0b1110 + 0o52))):
U2tlq1O18sng = ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + chr(0b10101 + 0o33), 0o10)
if vXoupepMtCXU is not None:
ix9dZyeAmUxY = jSKPaHwSAfVv.shape_list(vXoupepMtCXU)[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x30', 8)]
else:
ix9dZyeAmUxY = jSKPaHwSAfVv.shape_list(xIEmRseySp3z)[ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1351 - 1303), 8)]
xIEmRseySp3z = IDJ2eXGCBCDu.reshape(xIEmRseySp3z, [ix9dZyeAmUxY, -ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061', 28936 - 28928), ehT0Px3KOsy9(chr(1152 - 1104) + chr(7809 - 7698) + chr(49), 8), n4ljua2gi1Pr.qzoyXN3kdhDL])
if vXoupepMtCXU is not None:
vXoupepMtCXU = jSKPaHwSAfVv.flatten4d3d(vXoupepMtCXU)
(vXoupepMtCXU, dTXqLuPC2FBQ) = WZINe7poqZfF(vXoupepMtCXU, uFIGUtii6RGG, n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1cRW\xa5~<\x88\xea3'), chr(9266 - 9166) + chr(0b110110 + 0o57) + '\x63' + '\157' + chr(0b0 + 0o144) + '\x65')(chr(6917 - 6800) + '\x74' + chr(102) + chr(45) + '\x38'))
(dBh85xBNvC3b, UerurXsmB2mD) = (vXoupepMtCXU, dTXqLuPC2FBQ)
else:
(dTXqLuPC2FBQ, dBh85xBNvC3b, UerurXsmB2mD) = (None, None, None)
eJKWkHA7qzlZ = {xafqLlk3kkUe(SXOLrMavuUCe(b'\x10DS\xa2k'), '\144' + '\x65' + '\x63' + chr(0b1101111) + '\144' + '\145')('\165' + '\x74' + '\146' + '\x2d' + chr(56)): IDJ2eXGCBCDu.constant(0.0), xafqLlk3kkUe(SXOLrMavuUCe(b'\x19]S\xb5d\x17\xb2\xf4"\xe8\x1c'), chr(0b1100100) + '\145' + chr(99) + chr(10548 - 10437) + '\x64' + chr(0b1100101))(chr(117) + chr(0b100000 + 0o124) + '\146' + '\055' + '\070'): IDJ2eXGCBCDu.constant(0.0), xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bY@\x8f{<\x88\xea$\xff\x17V\x8e'), chr(100) + '\145' + '\x63' + '\x6f' + '\144' + chr(0b10111 + 0o116))(chr(7545 - 7428) + '\x74' + chr(102) + chr(45) + chr(56)): IDJ2eXGCBCDu.constant(0.0)}
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x11Sx\xb1o'), '\x64' + chr(101) + '\x63' + '\157' + chr(0b10 + 0o142) + chr(6051 - 5950))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(383 - 338) + chr(56))):
asJhs1qIYDVG = xIEmRseySp3z
lE6B91bdMt0Z = IDJ2eXGCBCDu.nauYfLglTpcb(asJhs1qIYDVG)
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x01]T\xbb'), chr(100) + '\x65' + chr(0b1100011) + chr(111) + chr(8683 - 8583) + '\x65')('\x75' + '\164' + chr(0b1100110) + '\055' + chr(0b111000))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x1cQF\xb7o'), chr(0b1001101 + 0o27) + chr(0b1011010 + 0o13) + '\143' + chr(10197 - 10086) + chr(0b1100100) + chr(4502 - 4401))(chr(0b101001 + 0o114) + chr(116) + '\146' + chr(463 - 418) + chr(165 - 109)):
xafqLlk3kkUe(oIL3U1EOcJgs, xafqLlk3kkUe(SXOLrMavuUCe(b'\x18]^\xb2o<\x9f\xe1#\xe5\x19V\x92\xf3\xe1\xbf5\xf0a\x86/\xcf'), '\x64' + '\x65' + '\x63' + '\x6f' + chr(0b110 + 0o136) + chr(7711 - 7610))(chr(0b111010 + 0o73) + chr(116) + chr(102) + chr(0b1000 + 0o45) + '\070'))(xIEmRseySp3z)
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x01]T\xbb'), chr(100) + chr(101) + '\143' + chr(0b101000 + 0o107) + chr(0b1100100) + chr(101))(chr(0b1001110 + 0o47) + chr(8130 - 8014) + '\146' + chr(0b111 + 0o46) + chr(56))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x01NF\xbey\x0f\x8c\xf05'), chr(0b1100100) + chr(1057 - 956) + chr(6606 - 6507) + chr(0b11101 + 0o122) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b11 + 0o161) + chr(102) + chr(0b11110 + 0o17) + chr(56)):
if vXoupepMtCXU is not None:
P17OAtyVwBhU = IDJ2eXGCBCDu.concat([vXoupepMtCXU, vXoupepMtCXU], axis=ehT0Px3KOsy9(chr(0b110000) + chr(8804 - 8693) + chr(1766 - 1717), 8))
else:
P17OAtyVwBhU = xIEmRseySp3z
else:
assert xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x01]T\xbb'), chr(0b1100100) + chr(1340 - 1239) + chr(99) + chr(1864 - 1753) + chr(6710 - 6610) + '\145')(chr(7693 - 7576) + chr(0b11001 + 0o133) + chr(0b1100110) + chr(479 - 434) + '\070')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x1cQF\xb7o'), '\144' + chr(0b101010 + 0o73) + chr(99) + '\157' + chr(3302 - 3202) + chr(0b1100101))(chr(0b100001 + 0o124) + chr(0b1110100) + chr(0b101100 + 0o72) + '\055' + chr(56))
P17OAtyVwBhU = xIEmRseySp3z
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x02SU\xb4U\x10\x85\xf16\xeb\x14C'), chr(0b1000000 + 0o44) + '\145' + chr(0b1100011) + '\157' + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(116) + chr(6326 - 6224) + chr(0b101101) + chr(0b10001 + 0o47))):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x0bo\xa8\x7f\x00\x8a\xb3:\xe1"M'), chr(0b1100100) + chr(101) + '\143' + '\x6f' + chr(100) + chr(0b1000011 + 0o42))('\165' + chr(0b11100 + 0o130) + '\x66' + chr(0b101101) + '\070'))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b' ON\xbemC\x9a\xeb"\xe9XU\x9f\xd9\xb3\xbd\x06\xe1.\xaeu\xdfa\x995K\x97\xbem\xaaI\xf5\xc5'), chr(0b1100100) + chr(0b1000110 + 0o37) + '\143' + chr(0b1101111) + '\144' + chr(0b1100101))(chr(2918 - 2801) + chr(0b110000 + 0o104) + '\x66' + chr(573 - 528) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'#\x08U\xbfB\x02\xbe\xb7\x00\xfd\x1dL'), chr(0b1100100) + '\145' + chr(3927 - 3828) + chr(0b1101111) + '\144' + '\145')(chr(2449 - 2332) + chr(0b1010101 + 0o37) + chr(0b111000 + 0o56) + chr(0b101001 + 0o4) + chr(0b10000 + 0o50)))(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x02SU\xb4U\x10\x85\xf16\xeb\x14C'), '\x64' + chr(1041 - 940) + chr(0b1000000 + 0o43) + chr(0b1101111) + '\144' + chr(0b10110 + 0o117))(chr(0b1110101) + chr(0b1011000 + 0o34) + chr(102) + '\x2d' + chr(56)))))
k_XxXDyvXMZM = IDJ2eXGCBCDu.range(start=ehT0Px3KOsy9(chr(48) + chr(10268 - 10157) + chr(48), 8), limit=jSKPaHwSAfVv.shape_list(xIEmRseySp3z)[ehT0Px3KOsy9(chr(1889 - 1841) + chr(0b1101111) + chr(1070 - 1021), 8)], delta=ehT0Px3KOsy9(chr(0b110000) + chr(1127 - 1016) + chr(49), 8))
k_XxXDyvXMZM = IDJ2eXGCBCDu.to_float(k_XxXDyvXMZM)
MudPQU2D1pmv = IDJ2eXGCBCDu.random_uniform(shape=jSKPaHwSAfVv.shape_list(k_XxXDyvXMZM), minval=ehT0Px3KOsy9('\060' + '\157' + chr(0b100000 + 0o20), 8), maxval=ehT0Px3KOsy9(chr(0b110000) + chr(0b10 + 0o155) + chr(2245 - 2196), 8) + n4ljua2gi1Pr.word_shuffle)
k_XxXDyvXMZM += MudPQU2D1pmv
VlilWZ72oPRz = IDJ2eXGCBCDu.contrib.framework.argsort(k_XxXDyvXMZM)
OV7N_JsgbNj7 = IDJ2eXGCBCDu.gather(xIEmRseySp3z, indices=VlilWZ72oPRz, axis=ehT0Px3KOsy9(chr(525 - 477) + chr(0b1011 + 0o144) + chr(0b100010 + 0o17), 8))
xIEmRseySp3z = OV7N_JsgbNj7
(xIEmRseySp3z, VNGQdHSFPrso) = jSKPaHwSAfVv.pad_to_same_length(xIEmRseySp3z, P17OAtyVwBhU, final_length_divisible_by=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50), ord("\x08")) ** n4ljua2gi1Pr._y1Py7UE3OKS)
qGCVeFvxIRjf = jSKPaHwSAfVv.shape_list(xIEmRseySp3z)
xIEmRseySp3z = IDJ2eXGCBCDu.reshape(xIEmRseySp3z, [qGCVeFvxIRjf[ehT0Px3KOsy9('\060' + '\157' + '\x30', 8)], qGCVeFvxIRjf[ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061', 8)], qGCVeFvxIRjf[ehT0Px3KOsy9(chr(0b110000) + chr(0b1100 + 0o143) + chr(0b11 + 0o60), 8)]])
xIEmRseySp3z = WOnrfm4dlYcf.add_positional_embedding(xIEmRseySp3z, n4ljua2gi1Pr._o7pVXAdOCRy, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x01]U\xb7o\x17\x9e\xdb \xe2\x0bO\x83\xc5\xba\xb5'), '\x64' + chr(101) + '\x63' + '\x6f' + '\x64' + chr(2379 - 2278))(chr(0b1110101) + chr(116) + chr(2771 - 2669) + '\055' + chr(0b111000)))
xIEmRseySp3z = IDJ2eXGCBCDu.reshape(xIEmRseySp3z, shape=qGCVeFvxIRjf)
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x02SU\xb4U\x07\x9f\xeb \xe2\rR'), '\x64' + '\x65' + chr(0b100010 + 0o101) + chr(2174 - 2063) + chr(1365 - 1265) + '\145')(chr(117) + chr(0b1110100) + '\146' + chr(45) + '\x38')):
Iz1jSgUKZDvt = IDJ2eXGCBCDu.random_uniform(shape=jSKPaHwSAfVv.shape_list(xIEmRseySp3z), minval=0.0, maxval=1.0)
h7h5i1jNhad5 = IDJ2eXGCBCDu.dRFAC59yQBm_(Iz1jSgUKZDvt > n4ljua2gi1Pr.word_dropout, xIEmRseySp3z, IDJ2eXGCBCDu.zeros_like(xIEmRseySp3z))
else:
h7h5i1jNhad5 = xIEmRseySp3z
i6WtNO7U6Bue = xNrsUM6GazDP(h7h5i1jNhad5, vXoupepMtCXU, ehT0Px3KOsy9('\060' + chr(7546 - 7435) + chr(48), 8), n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x16SJ\xa0x\x06\x9e\xf7'), '\x64' + chr(101) + chr(99) + chr(8156 - 8045) + chr(0b1100100) + chr(5813 - 5712))(chr(0b1000111 + 0o56) + chr(0b1000111 + 0o55) + '\x66' + chr(0b10100 + 0o31) + '\070'))
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x18SC\xb5'), chr(2572 - 2472) + chr(0b1100101) + chr(4275 - 4176) + chr(111) + chr(0b1011100 + 0o10) + chr(5698 - 5597))(chr(3668 - 3551) + chr(0b1110100) + chr(8522 - 8420) + chr(0b111 + 0o46) + chr(56))) != xafqLlk3kkUe(IDJ2eXGCBCDu.estimator.ModeKeys, xafqLlk3kkUe(SXOLrMavuUCe(b'%nb\x94C \xb9'), '\x64' + chr(101) + chr(3392 - 3293) + chr(111) + chr(0b1100100) + chr(8319 - 8218))('\x75' + chr(116) + chr(102) + chr(0b101101) + chr(625 - 569))):
(dyezpTDvdVyF, z2Exq_eUlctN, OyYXdGmcLv7F, DSKhI6I667G0, BUVIuWfbUd44) = n4ljua2gi1Pr.Hax21lk7t3Y8(inputs=i6WtNO7U6Bue, filter_size=n4ljua2gi1Pr.compress_filter_size, mode=n4ljua2gi1Pr.mode, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x03_'), chr(6433 - 6333) + chr(0b1100100 + 0o1) + chr(0b1011001 + 0o12) + chr(0b1001 + 0o146) + '\144' + '\x65')('\165' + chr(0b101111 + 0o105) + chr(102) + chr(45) + chr(0b111000)))
if U2tlq1O18sng:
xafqLlk3kkUe(IDJ2eXGCBCDu.summary, xafqLlk3kkUe(SXOLrMavuUCe(b'*x\x13\x8a}Z\x8f\xf0\x05\xd9\rw'), '\x64' + '\145' + chr(0b1100011) + '\157' + chr(0b100011 + 0o101) + chr(0b110010 + 0o63))(chr(0b1100100 + 0o21) + chr(116) + chr(0b1100110) + chr(0b101010 + 0o3) + chr(0b0 + 0o70)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\x0c'), chr(100) + '\145' + chr(0b10 + 0o141) + '\x6f' + chr(0b1010100 + 0o20) + '\x65')('\165' + chr(116) + chr(9906 - 9804) + chr(0b101101) + '\070'), xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07YT\xb8k\x13\x88'), '\x64' + '\145' + '\143' + chr(0b1101111) + chr(3482 - 3382) + chr(10130 - 10029))(chr(0b1001 + 0o154) + chr(12845 - 12729) + chr(4725 - 4623) + chr(609 - 564) + '\x38'))(z2Exq_eUlctN[:, ehT0Px3KOsy9(chr(547 - 499) + '\x6f' + chr(48), 8), :], [-ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49), 8)]))
gI3PTXr_rri_ = jSKPaHwSAfVv.inverse_exp_decay(n4ljua2gi1Pr.startup_steps)
gI3PTXr_rri_ = gI3PTXr_rri_ if n4ljua2gi1Pr.mode == IDJ2eXGCBCDu.estimator.ModeKeys.TRAIN else 1.0
cqK7WzUanJkr = IDJ2eXGCBCDu.less(IDJ2eXGCBCDu.random_uniform([ix9dZyeAmUxY]), gI3PTXr_rri_)
dyezpTDvdVyF = IDJ2eXGCBCDu.dRFAC59yQBm_(cqK7WzUanJkr, dyezpTDvdVyF, i6WtNO7U6Bue)
eJKWkHA7qzlZ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x10DS\xa2k'), chr(0b1100100) + chr(101) + chr(0b1001 + 0o132) + chr(0b1011 + 0o144) + chr(4890 - 4790) + '\x65')(chr(10669 - 10552) + chr(0b1010001 + 0o43) + chr(8788 - 8686) + '\055' + chr(0b101000 + 0o20))] = OyYXdGmcLv7F * IDJ2eXGCBCDu.reduce_mean(IDJ2eXGCBCDu.to_float(cqK7WzUanJkr))
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b"\x17SS\xa4f\x06\x83\xe13\xe6'M\x9e\xc2\xb1"), chr(0b10001 + 0o123) + chr(9962 - 9861) + chr(0b1100011) + '\157' + '\144' + chr(0b1000100 + 0o41))(chr(0b1110101) + chr(9588 - 9472) + '\x66' + chr(272 - 227) + chr(0b111000))) not in [xafqLlk3kkUe(SXOLrMavuUCe(b'\x11YI\xa3o'), chr(0b1000101 + 0o37) + '\145' + chr(1229 - 1130) + chr(0b100100 + 0o113) + chr(8015 - 7915) + chr(0b1000 + 0o135))(chr(0b1110101) + chr(8346 - 8230) + '\x66' + chr(0b101101) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x03]B'), chr(0b1101 + 0o127) + chr(8591 - 8490) + chr(6427 - 6328) + chr(0b1101111) + chr(0b1100100) + chr(194 - 93))(chr(117) + '\164' + '\146' + '\x2d' + chr(56))]:
CGc8shFbWMSf = LYaPq_spmQOb(dBh85xBNvC3b, UerurXsmB2mD, DSKhI6I667G0(z2Exq_eUlctN), n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10DS\xa2k'), '\x64' + '\x65' + chr(99) + chr(0b1101111) + chr(3102 - 3002) + chr(8609 - 8508))(chr(117) + '\x74' + chr(102) + chr(0b10111 + 0o26) + '\070'), task=xafqLlk3kkUe(SXOLrMavuUCe(b'\x01NF\xbey\x0f\x8c\xf05'), '\144' + chr(6169 - 6068) + chr(0b1100011) + chr(7721 - 7610) + '\x64' + chr(0b1100101))('\x75' + chr(0b1110100) + chr(7756 - 7654) + chr(1766 - 1721) + chr(0b101111 + 0o11)))
(VNGQdHSFPrso, tywY_VUe399r) = aIL5S5J7gN81(CGc8shFbWMSf, IDJ2eXGCBCDu.stop_gradient(z2Exq_eUlctN), n4ljua2gi1Pr)
if U2tlq1O18sng:
xafqLlk3kkUe(IDJ2eXGCBCDu.summary, xafqLlk3kkUe(SXOLrMavuUCe(b'\x06_F\xbck\x11'), chr(0b100 + 0o140) + chr(0b1100 + 0o131) + chr(0b110001 + 0o62) + '\x6f' + '\144' + chr(101))(chr(4500 - 4383) + '\164' + chr(102) + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x19]S\xb5d\x17\xb2\xf4"\xe8\x1cy\x9b\xc3\xa6\xa85\xe9k\xb8r'), chr(0b1001100 + 0o30) + '\x65' + '\143' + '\x6f' + chr(9982 - 9882) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(102) + chr(45) + '\070'), xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07YC\xa5i\x06\xb2\xe95\xec\x16'), '\144' + chr(0b1100011 + 0o2) + chr(0b111010 + 0o51) + '\x6f' + chr(100) + chr(101))(chr(0b10 + 0o163) + chr(0b1001001 + 0o53) + '\x66' + chr(45) + chr(0b111000)))(tywY_VUe399r))
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x06IJ\x8fe\x15\x88\xf6\x0f\xe1\x19R\x92\xc2\xa1\xa8'), chr(0b1001001 + 0o33) + chr(101) + chr(99) + '\x6f' + '\x64' + chr(0b1001 + 0o134))(chr(117) + chr(0b100100 + 0o120) + '\146' + '\x2d' + chr(0b111000))):
tywY_VUe399r = IDJ2eXGCBCDu.reduce_sum(tywY_VUe399r, [ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(49), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(50), 8)])
eJKWkHA7qzlZ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x19]S\xb5d\x17\xb2\xf4"\xe8\x1c'), chr(0b1100100) + chr(2187 - 2086) + chr(0b1011110 + 0o5) + chr(0b100010 + 0o115) + '\144' + '\145')('\165' + chr(0b0 + 0o164) + chr(0b1100110) + chr(571 - 526) + chr(0b1100 + 0o54))] = IDJ2eXGCBCDu.reduce_mean(tywY_VUe399r * IDJ2eXGCBCDu.to_float(cqK7WzUanJkr)) * n4ljua2gi1Pr.prior_scale
eJKWkHA7qzlZ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bY@\x8f{<\x88\xea$\xff\x17V\x8e'), '\x64' + chr(2888 - 2787) + chr(2025 - 1926) + chr(121 - 10) + chr(0b1011010 + 0o12) + chr(5637 - 5536))(chr(117) + chr(0b1110001 + 0o3) + chr(0b111 + 0o137) + '\x2d' + chr(2450 - 2394))] = BUVIuWfbUd44 * n4ljua2gi1Pr.entropy_scale
else:
RaW_KKmYt2kN = LYaPq_spmQOb(vXoupepMtCXU, dTXqLuPC2FBQ, i6WtNO7U6Bue, n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x11YD\x8fi'), chr(100) + chr(7920 - 7819) + '\143' + '\157' + chr(100) + chr(0b1100101))(chr(0b1010101 + 0o40) + '\x74' + '\146' + '\055' + chr(0b111000)))
eJKWkHA7qzlZ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x19]S\xb5d\x17\xb2\xf4"\xe8\x1c'), chr(0b110111 + 0o55) + chr(101) + chr(99) + chr(2821 - 2710) + '\x64' + chr(0b1001000 + 0o35))(chr(0b1011101 + 0o30) + chr(0b10001 + 0o143) + '\146' + chr(45) + '\070')] = IDJ2eXGCBCDu.reduce_mean(IDJ2eXGCBCDu.squared_difference(RaW_KKmYt2kN, i6WtNO7U6Bue)) * ehT0Px3KOsy9(chr(1778 - 1730) + chr(0b1101111) + chr(1430 - 1380) + '\064', ord("\x08"))
def laJ1fnTbJOSS():
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x03]U\xb9k\x01\x81\xe1\x0f\xfe\x1bI\x87\xc9'), chr(8058 - 7958) + '\x65' + '\x63' + '\157' + chr(0b1000100 + 0o40) + chr(0b11100 + 0o111))('\165' + '\x74' + '\146' + '\055' + '\070'))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12YS\x8f|\x02\x9f\xed1\xef\x14C\xa8\xdf\xb6\xb4\x1a\xe1'), '\x64' + chr(2923 - 2822) + '\143' + chr(111) + '\x64' + '\145')(chr(0b1110101 + 0o0) + '\164' + chr(1930 - 1828) + chr(0b100110 + 0o7) + chr(551 - 495)))(), reuse=ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + '\061', 8)):
(KyPNMlMrqg19, VNGQdHSFPrso, VNGQdHSFPrso, VNGQdHSFPrso, VNGQdHSFPrso) = n4ljua2gi1Pr.Hax21lk7t3Y8(inputs=RaW_KKmYt2kN, filter_size=n4ljua2gi1Pr.compress_filter_size, mode=n4ljua2gi1Pr.mode, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x03_'), chr(0b1100100) + '\x65' + chr(99) + chr(0b101 + 0o152) + chr(0b1100100) + '\145')(chr(117) + '\164' + chr(0b1100110) + chr(0b101101) + chr(56)))
return KyPNMlMrqg19
RaW_KKmYt2kN = laJ1fnTbJOSS()
Xuw4wzW3xrzj = 1.0 - jSKPaHwSAfVv.inverse_lin_decay(ehT0Px3KOsy9(chr(0b110000) + chr(9870 - 9759) + chr(54) + chr(48) + chr(0b110110) + chr(608 - 555) + chr(0b110000) + chr(0b1001 + 0o47), 29005 - 28997)) * 0.5
Xuw4wzW3xrzj = Xuw4wzW3xrzj if n4ljua2gi1Pr.mode == IDJ2eXGCBCDu.estimator.ModeKeys.TRAIN else 1.0
dyezpTDvdVyF = IDJ2eXGCBCDu.dRFAC59yQBm_(IDJ2eXGCBCDu.less(IDJ2eXGCBCDu.random_uniform([ix9dZyeAmUxY]), Xuw4wzW3xrzj), dyezpTDvdVyF, RaW_KKmYt2kN)
elif xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b"\x17SS\xa4f\x06\x83\xe13\xe6'M\x9e\xc2\xb1"), chr(100) + '\x65' + '\143' + chr(5152 - 5041) + '\x64' + chr(101))(chr(117) + '\164' + chr(102) + chr(1335 - 1290) + '\x38')) in [xafqLlk3kkUe(SXOLrMavuUCe(b'\x11YI\xa3o'), '\144' + chr(0b110011 + 0o62) + '\143' + '\157' + '\x64' + '\x65')(chr(0b1110101) + chr(12611 - 12495) + chr(0b111101 + 0o51) + chr(0b10111 + 0o26) + chr(0b11111 + 0o31)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x03]B'), '\144' + chr(517 - 416) + chr(0b1100011) + '\157' + chr(9706 - 9606) + chr(0b110000 + 0o65))(chr(1513 - 1396) + chr(0b10010 + 0o142) + chr(102) + chr(439 - 394) + '\x38')]:
RaW_KKmYt2kN = LYaPq_spmQOb(vXoupepMtCXU, dTXqLuPC2FBQ, i6WtNO7U6Bue, n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x11YD\x8fi'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(0b1100101))('\x75' + chr(116) + chr(0b1100110) + chr(45) + '\x38'))
(dyezpTDvdVyF, VNGQdHSFPrso, VNGQdHSFPrso, VNGQdHSFPrso, VNGQdHSFPrso) = n4ljua2gi1Pr.Hax21lk7t3Y8(inputs=RaW_KKmYt2kN, filter_size=n4ljua2gi1Pr.compress_filter_size, mode=n4ljua2gi1Pr.mode, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x03_'), chr(100) + chr(101) + chr(0b110011 + 0o60) + chr(0b1101111) + '\144' + chr(0b1100101))('\x75' + chr(0b1110100) + chr(102) + chr(462 - 417) + chr(0b111000)))
else:
WH1RhWxChep0 = jSKPaHwSAfVv.shape_list(i6WtNO7U6Bue)[ehT0Px3KOsy9(chr(0b110000) + chr(8920 - 8809) + chr(2201 - 2152), 8)]
(VNGQdHSFPrso, VNGQdHSFPrso, VNGQdHSFPrso, DSKhI6I667G0, VNGQdHSFPrso) = n4ljua2gi1Pr.Hax21lk7t3Y8(inputs=i6WtNO7U6Bue, filter_size=n4ljua2gi1Pr.compress_filter_size, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x03_'), chr(3599 - 3499) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(0b100011 + 0o101) + chr(0b110001 + 0o64))(chr(0b1110101) + '\x74' + '\146' + '\x2d' + chr(0b111000)))
dyezpTDvdVyF = IDJ2eXGCBCDu.zeros_like(i6WtNO7U6Bue[:, :WH1RhWxChep0, :, :])
if j1lPDdxcDbRB is None:
j1lPDdxcDbRB = H2IHGe02_1Ue(dyezpTDvdVyF, dBh85xBNvC3b, UerurXsmB2mD, DSKhI6I667G0, ehT0Px3KOsy9(chr(48) + chr(111) + chr(477 - 427) + chr(48), 5396 - 5388), n4ljua2gi1Pr)
dyezpTDvdVyF = DSKhI6I667G0(j1lPDdxcDbRB)
pd3lxn9vqWxp = dyezpTDvdVyF
EDG3jyfj8xJL = jSKPaHwSAfVv.shape_list(pd3lxn9vqWxp)
pd3lxn9vqWxp = IDJ2eXGCBCDu.reshape(pd3lxn9vqWxp, [EDG3jyfj8xJL[ehT0Px3KOsy9('\060' + '\x6f' + chr(1179 - 1131), 8)], EDG3jyfj8xJL[ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001), 8)], EDG3jyfj8xJL[ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33', 8)]])
pd3lxn9vqWxp = WOnrfm4dlYcf.add_positional_embedding(pd3lxn9vqWxp, n4ljua2gi1Pr._o7pVXAdOCRy, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x19]S\xb5d\x17\x9e\xdb \xe2\x0bO\x83\xc5\xba\xb5'), '\144' + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1001 + 0o133) + chr(1027 - 926))('\x75' + chr(5733 - 5617) + '\146' + chr(414 - 369) + chr(279 - 223)))
pd3lxn9vqWxp = IDJ2eXGCBCDu.reshape(pd3lxn9vqWxp, shape=EDG3jyfj8xJL)
for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'*E\x16\x80sT\xb8\xc1c\xc23u'), chr(0b111111 + 0o45) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b1100100) + '\145')(chr(117) + chr(0b1011011 + 0o31) + chr(0b11101 + 0o111) + '\055' + chr(0b10000 + 0o50)))):
tlORBuYsiw3X = n4ljua2gi1Pr._y1Py7UE3OKS - WVxHKyX45z_L - ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + chr(0b11101 + 0o24), 8)
pd3lxn9vqWxp = c7tmxGI2JxIE(pd3lxn9vqWxp, ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + '\061', 8), (ehT0Px3KOsy9(chr(0b110000) + chr(675 - 564) + chr(1290 - 1239), 8), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(49), 8)), n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b"\x11YD\xbfg\x13\x9f\xe1#\xfe'T\x94\xf3\xf0\xbf"), chr(0b1100100) + chr(4569 - 4468) + chr(99) + '\x6f' + chr(0b11110 + 0o106) + chr(0b1100101))('\x75' + '\x74' + chr(9827 - 9725) + chr(0b10000 + 0o35) + '\070') % tlORBuYsiw3X)
if vXoupepMtCXU is not None and xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x11Sx\xb1~\x17\x88\xea4\xd2\x1cC\x94\xc3\xb8\xab\x18\xe1}\xaa'), chr(0b1100100) + chr(101) + '\143' + '\157' + '\x64' + '\145')(chr(0b11101 + 0o130) + chr(0b1000110 + 0o56) + chr(0b1100100 + 0o2) + '\x2d' + '\070')):
pd3lxn9vqWxp = qfze1j7ouKTp(pd3lxn9vqWxp, vXoupepMtCXU, n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b"\x11YD\xbfg\x13\x9f\xe1#\xfe'G\x83\xd8\xb0\xb5\x0e\xdb+\xbd"), chr(1376 - 1276) + chr(0b1011100 + 0o11) + chr(0b111011 + 0o50) + '\157' + chr(0b1010010 + 0o22) + chr(0b101101 + 0o70))(chr(117) + chr(0b1110100) + chr(102) + '\x2d' + chr(2226 - 2170)) % tlORBuYsiw3X)
pd3lxn9vqWxp = EI3e3IdP4nk0(pd3lxn9vqWxp, n4ljua2gi1Pr, WVxHKyX45z_L > ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(48), 8), ehT0Px3KOsy9('\x30' + chr(9858 - 9747) + chr(0b1100 + 0o44), 8), xafqLlk3kkUe(SXOLrMavuUCe(b"\x11YD\xbfg\x13\x9f\xe1#\xfe'\x03\x93"), chr(100) + '\145' + chr(0b1100011) + '\x6f' + chr(9804 - 9704) + chr(101))('\165' + chr(0b1110100) + chr(0b1001111 + 0o27) + chr(1275 - 1230) + chr(0b0 + 0o70)) % tlORBuYsiw3X)
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x11Sx\xbdk\x10\x86'), '\144' + chr(0b101110 + 0o67) + chr(99) + chr(5913 - 5802) + '\144' + '\145')(chr(117) + chr(116) + '\x66' + chr(0b1110 + 0o37) + chr(56))):
Xc6mmmn54jv8 = jSKPaHwSAfVv.inverse_lin_decay(n4ljua2gi1Pr.mask_startup_steps)
Xc6mmmn54jv8 *= jSKPaHwSAfVv.inverse_exp_decay(n4ljua2gi1Pr.mask_startup_steps // ehT0Px3KOsy9(chr(599 - 551) + chr(0b10001 + 0o136) + chr(1074 - 1022), 0o10))
if not xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x11Sx\xa2o\x05\x84\xea5'), chr(0b1100100) + '\145' + chr(9387 - 9288) + chr(111) + chr(100) + chr(101))(chr(0b1110101) + chr(116) + chr(0b11000 + 0o116) + chr(45) + chr(2506 - 2450))):
Xc6mmmn54jv8 -= IDJ2eXGCBCDu.random_uniform([]) * n4ljua2gi1Pr.unmasked_percentage
Xc6mmmn54jv8 = IDJ2eXGCBCDu.minimum(IDJ2eXGCBCDu.maximum(Xc6mmmn54jv8, 0.0), 1.0)
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x00OB\x8fz\x11\x88\xe09\xee\x0cy\x9a\xcd\xa6\xb0'), chr(0b1100100) + '\145' + '\x63' + '\157' + chr(0b111100 + 0o50) + chr(101))('\165' + chr(12939 - 12823) + '\146' + chr(0b101101) + chr(2545 - 2489))):
Xc6mmmn54jv8 = zX7jLRevnG0Y
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x18SC\xb5'), chr(0b1100100) + chr(0b1111 + 0o126) + chr(99) + chr(0b10011 + 0o134) + '\144' + '\145')(chr(117) + chr(116) + chr(3314 - 3212) + chr(45) + chr(0b111000))) == xafqLlk3kkUe(IDJ2eXGCBCDu.estimator.ModeKeys, xafqLlk3kkUe(SXOLrMavuUCe(b'%nb\x94C \xb9'), chr(0b1100100) + chr(101) + '\x63' + chr(0b1101111) + '\x64' + chr(0b110 + 0o137))(chr(0b1110010 + 0o3) + '\164' + '\x66' + '\x2d' + '\070')):
Xc6mmmn54jv8 = zX7jLRevnG0Y
Iz1jSgUKZDvt = IDJ2eXGCBCDu.less(Xc6mmmn54jv8, IDJ2eXGCBCDu.random_uniform(jSKPaHwSAfVv.shape_list(xIEmRseySp3z)[:-ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + '\061', 8)]))
Iz1jSgUKZDvt = IDJ2eXGCBCDu.expand_dims(IDJ2eXGCBCDu.to_float(Iz1jSgUKZDvt), ehT0Px3KOsy9(chr(581 - 533) + chr(111) + chr(51), 8))
xIEmRseySp3z = Iz1jSgUKZDvt * xIEmRseySp3z + (1.0 - Iz1jSgUKZDvt) * pd3lxn9vqWxp
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x01]T\xbb'), chr(9404 - 9304) + chr(0b1100101) + chr(99) + chr(0b1011011 + 0o24) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(541 - 425) + chr(102) + chr(45) + chr(0b101001 + 0o17))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x1cQF\xb7o'), '\x64' + chr(0b1011 + 0o132) + chr(0b100001 + 0o102) + chr(0b1101011 + 0o4) + chr(6332 - 6232) + chr(101))(chr(117) + chr(0b1010000 + 0o44) + chr(102) + chr(0b101101) + chr(825 - 769)):
xIEmRseySp3z = IDJ2eXGCBCDu.reshape(xIEmRseySp3z, lE6B91bdMt0Z)
MsbwfslwLjRO = LYaPq_spmQOb(vXoupepMtCXU, dTXqLuPC2FBQ, xIEmRseySp3z, n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x11YD\xbfn\x06\x9f'), chr(0b1100100) + chr(101) + chr(0b11 + 0o140) + '\x6f' + '\144' + chr(0b1100101))(chr(3377 - 3260) + chr(0b1110100) + chr(102) + '\055' + chr(0b101 + 0o63)), causal=n4ljua2gi1Pr.causal)
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x11Sx\xb1o'), chr(4116 - 4016) + '\x65' + '\x63' + '\157' + chr(0b1100100) + '\145')('\165' + chr(0b111000 + 0o74) + '\146' + chr(0b100010 + 0o13) + chr(0b111000))):
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x11Sx\xbdk\x10\x86'), chr(706 - 606) + '\145' + '\143' + chr(111) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(116) + '\x66' + chr(0b101100 + 0o1) + chr(0b111000))) and xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x11Sx\xa2o\x05\x84\xea5'), chr(100) + chr(8171 - 8070) + '\x63' + '\157' + chr(9333 - 9233) + '\145')(chr(0b1110101) + chr(116) + '\146' + chr(0b1101 + 0o40) + chr(0b100010 + 0o26))):
def wEEiFmxjJwNz():
(JWG5qApaeJkp, VNGQdHSFPrso) = WZINe7poqZfF(IDJ2eXGCBCDu.squeeze(MsbwfslwLjRO, axis=[ehT0Px3KOsy9(chr(1632 - 1584) + '\157' + '\062', 8)]), uFIGUtii6RGG, n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07YA\xb9d\x06\xb2\xe1>\xee'), chr(100) + '\x65' + '\x63' + '\x6f' + chr(100) + chr(8421 - 8320))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(45) + chr(0b111000)))
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10DW\xb1d\x07\xb2\xe09\xe0\x0b'), chr(6083 - 5983) + chr(0b110000 + 0o65) + chr(4373 - 4274) + chr(0b1101111) + '\144' + '\x65')(chr(0b1110101) + '\x74' + chr(0b1100110) + '\x2d' + chr(1063 - 1007)))(JWG5qApaeJkp, axis=ehT0Px3KOsy9(chr(48) + chr(0b1000 + 0o147) + chr(1845 - 1795), 8))
zSixdVFnxJXa = IDJ2eXGCBCDu.reduce_sum(Iz1jSgUKZDvt, axis=[ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\062', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10011 + 0o40), 8)])
G3emkro6m2EU = IDJ2eXGCBCDu.less(zSixdVFnxJXa, 0.1)
MsbwfslwLjRO = IDJ2eXGCBCDu.dRFAC59yQBm_(G3emkro6m2EU, wEEiFmxjJwNz(), MsbwfslwLjRO)
QHdSLmKVb62t = n4ljua2gi1Pr.mask_startup_steps
flxufY_4QFGJ = IDJ2eXGCBCDu.less(QHdSLmKVb62t, IDJ2eXGCBCDu.to_int32(IDJ2eXGCBCDu.train.get_global_step()))
eJKWkHA7qzlZ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x19]S\xb5d\x17\xb2\xf4"\xe8\x1c'), '\x64' + chr(0b100101 + 0o100) + '\x63' + chr(111) + chr(3503 - 3403) + chr(101))(chr(0b1110101) + chr(3809 - 3693) + chr(0b1100110) + '\055' + chr(572 - 516))] *= IDJ2eXGCBCDu.to_float(flxufY_4QFGJ)
MsbwfslwLjRO = MsbwfslwLjRO[:, :lE6B91bdMt0Z[ehT0Px3KOsy9(chr(48) + '\157' + chr(1786 - 1737), 8)], :, :]
cEGqp1SO4iJa = jSKPaHwSAfVv.shape_list(MsbwfslwLjRO)[ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001), 8)]
GELGNuVd7ZTT = jSKPaHwSAfVv.shape_list(i6WtNO7U6Bue)[ehT0Px3KOsy9('\x30' + chr(12004 - 11893) + '\x31', 8)]
return (MsbwfslwLjRO, eJKWkHA7qzlZ, j1lPDdxcDbRB, cEGqp1SO4iJa, GELGNuVd7ZTT)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_vae.py
|
transformer_ae_small
|
def transformer_ae_small():
"""Set of hyperparameters."""
hparams = transformer.transformer_small()
hparams.batch_size = 2048
hparams.learning_rate = 0.2
hparams.learning_rate_warmup_steps = 4000
hparams.num_hidden_layers = 3
hparams.hidden_size = 384
hparams.filter_size = 2048
hparams.add_hparam("compress_filter_size", 2048 * 2)
hparams.label_smoothing = 0.0
hparams.optimizer = "adam" # Can be unstable, maybe try Adam.
hparams.optimizer_adam_epsilon = 1e-9
hparams.optimizer_adam_beta1 = 0.9
hparams.optimizer_adam_beta2 = 0.997 # Needs tuning, try 0.98 to 0.999.
hparams.add_hparam("z_size", 14)
hparams.add_hparam("noise_dev", 0.5)
hparams.add_hparam("d_mix", 0.5)
hparams.add_hparam("logit_normalization", True)
hparams.add_hparam("word_dropout", 0.)
# Bottleneck kinds supported: dense, vae, semhash, gumbel-softmax, dvq.
hparams.add_hparam("bottleneck_kind", "semhash")
hparams.add_hparam("num_blocks", 1)
hparams.add_hparam("num_decode_blocks", 1)
# Add an hparam for number of reiduals
hparams.add_hparam("num_residuals", 1)
# Reshape method for DVQ: slice, project
hparams.add_hparam("word_shuffle", 0.5)
hparams.add_hparam("causal", True)
hparams.add_hparam("reshape_method", "slice")
hparams.add_hparam("trainable_projections", False)
hparams.add_hparam("unmasked_percentage", 0.1)
hparams.add_hparam("do_ae", True)
hparams.add_hparam("do_mask", True)
hparams.add_hparam("use_predict_mask", True)
hparams.add_hparam("do_refine", False)
hparams.add_hparam("do_attend_compress", False)
hparams.add_hparam("do_attend_decompress", True)
hparams.add_hparam("do_residual_compress", False)
hparams.add_hparam("drop_inputs", False)
hparams.add_hparam("v_size", 1024*64)
hparams.add_hparam("max_context_length", 64)
hparams.add_hparam("num_compress_steps", 3)
hparams.add_hparam("startup_steps", 10000)
hparams.add_hparam("mask_startup_steps", 50000)
hparams.add_hparam("z_dropout", 0.1)
hparams.add_hparam("is_2d", 0)
hparams.add_hparam("softmax_k", 0)
hparams.add_hparam("decode_autoregressive", True)
hparams.add_hparam("do_vae", True)
hparams.add_hparam("bit_vae", True)
hparams.add_hparam("beta", 0.25)
hparams.add_hparam("epsilon", 1e-5)
hparams.add_hparam("decay", 0.999)
hparams.add_hparam("ema", True)
hparams.add_hparam("random_top_k", 1)
hparams.add_hparam("soft_em", False)
hparams.add_hparam("num_samples", 10)
hparams.add_hparam("inv_temp", 1.0)
hparams.add_hparam("entropy_scale", 0.0)
hparams.add_hparam("prior_scale", 1.0)
hparams.add_hparam("do_hard_gumbel_softmax", False)
hparams.add_hparam("num_flows", 0)
hparams.add_hparam("approximate_gs_entropy", False)
hparams.add_hparam("temperature_warmup_steps", 150000)
hparams.add_hparam("sum_over_latents", False)
hparams.force_full_predict = True
# task params
hparams.add_hparam("task", "translate") # translate or image tasks supported
return hparams
|
python
|
def transformer_ae_small():
"""Set of hyperparameters."""
hparams = transformer.transformer_small()
hparams.batch_size = 2048
hparams.learning_rate = 0.2
hparams.learning_rate_warmup_steps = 4000
hparams.num_hidden_layers = 3
hparams.hidden_size = 384
hparams.filter_size = 2048
hparams.add_hparam("compress_filter_size", 2048 * 2)
hparams.label_smoothing = 0.0
hparams.optimizer = "adam" # Can be unstable, maybe try Adam.
hparams.optimizer_adam_epsilon = 1e-9
hparams.optimizer_adam_beta1 = 0.9
hparams.optimizer_adam_beta2 = 0.997 # Needs tuning, try 0.98 to 0.999.
hparams.add_hparam("z_size", 14)
hparams.add_hparam("noise_dev", 0.5)
hparams.add_hparam("d_mix", 0.5)
hparams.add_hparam("logit_normalization", True)
hparams.add_hparam("word_dropout", 0.)
# Bottleneck kinds supported: dense, vae, semhash, gumbel-softmax, dvq.
hparams.add_hparam("bottleneck_kind", "semhash")
hparams.add_hparam("num_blocks", 1)
hparams.add_hparam("num_decode_blocks", 1)
# Add an hparam for number of reiduals
hparams.add_hparam("num_residuals", 1)
# Reshape method for DVQ: slice, project
hparams.add_hparam("word_shuffle", 0.5)
hparams.add_hparam("causal", True)
hparams.add_hparam("reshape_method", "slice")
hparams.add_hparam("trainable_projections", False)
hparams.add_hparam("unmasked_percentage", 0.1)
hparams.add_hparam("do_ae", True)
hparams.add_hparam("do_mask", True)
hparams.add_hparam("use_predict_mask", True)
hparams.add_hparam("do_refine", False)
hparams.add_hparam("do_attend_compress", False)
hparams.add_hparam("do_attend_decompress", True)
hparams.add_hparam("do_residual_compress", False)
hparams.add_hparam("drop_inputs", False)
hparams.add_hparam("v_size", 1024*64)
hparams.add_hparam("max_context_length", 64)
hparams.add_hparam("num_compress_steps", 3)
hparams.add_hparam("startup_steps", 10000)
hparams.add_hparam("mask_startup_steps", 50000)
hparams.add_hparam("z_dropout", 0.1)
hparams.add_hparam("is_2d", 0)
hparams.add_hparam("softmax_k", 0)
hparams.add_hparam("decode_autoregressive", True)
hparams.add_hparam("do_vae", True)
hparams.add_hparam("bit_vae", True)
hparams.add_hparam("beta", 0.25)
hparams.add_hparam("epsilon", 1e-5)
hparams.add_hparam("decay", 0.999)
hparams.add_hparam("ema", True)
hparams.add_hparam("random_top_k", 1)
hparams.add_hparam("soft_em", False)
hparams.add_hparam("num_samples", 10)
hparams.add_hparam("inv_temp", 1.0)
hparams.add_hparam("entropy_scale", 0.0)
hparams.add_hparam("prior_scale", 1.0)
hparams.add_hparam("do_hard_gumbel_softmax", False)
hparams.add_hparam("num_flows", 0)
hparams.add_hparam("approximate_gs_entropy", False)
hparams.add_hparam("temperature_warmup_steps", 150000)
hparams.add_hparam("sum_over_latents", False)
hparams.force_full_predict = True
# task params
hparams.add_hparam("task", "translate") # translate or image tasks supported
return hparams
|
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"False",
")",
"hparams",
".",
"add_hparam",
"(",
"\"drop_inputs\"",
",",
"False",
")",
"hparams",
".",
"add_hparam",
"(",
"\"v_size\"",
",",
"1024",
"*",
"64",
")",
"hparams",
".",
"add_hparam",
"(",
"\"max_context_length\"",
",",
"64",
")",
"hparams",
".",
"add_hparam",
"(",
"\"num_compress_steps\"",
",",
"3",
")",
"hparams",
".",
"add_hparam",
"(",
"\"startup_steps\"",
",",
"10000",
")",
"hparams",
".",
"add_hparam",
"(",
"\"mask_startup_steps\"",
",",
"50000",
")",
"hparams",
".",
"add_hparam",
"(",
"\"z_dropout\"",
",",
"0.1",
")",
"hparams",
".",
"add_hparam",
"(",
"\"is_2d\"",
",",
"0",
")",
"hparams",
".",
"add_hparam",
"(",
"\"softmax_k\"",
",",
"0",
")",
"hparams",
".",
"add_hparam",
"(",
"\"decode_autoregressive\"",
",",
"True",
")",
"hparams",
".",
"add_hparam",
"(",
"\"do_vae\"",
",",
"True",
")",
"hparams",
".",
"add_hparam",
"(",
"\"bit_vae\"",
",",
"True",
")",
"hparams",
".",
"add_hparam",
"(",
"\"beta\"",
",",
"0.25",
")",
"hparams",
".",
"add_hparam",
"(",
"\"epsilon\"",
",",
"1e-5",
")",
"hparams",
".",
"add_hparam",
"(",
"\"decay\"",
",",
"0.999",
")",
"hparams",
".",
"add_hparam",
"(",
"\"ema\"",
",",
"True",
")",
"hparams",
".",
"add_hparam",
"(",
"\"random_top_k\"",
",",
"1",
")",
"hparams",
".",
"add_hparam",
"(",
"\"soft_em\"",
",",
"False",
")",
"hparams",
".",
"add_hparam",
"(",
"\"num_samples\"",
",",
"10",
")",
"hparams",
".",
"add_hparam",
"(",
"\"inv_temp\"",
",",
"1.0",
")",
"hparams",
".",
"add_hparam",
"(",
"\"entropy_scale\"",
",",
"0.0",
")",
"hparams",
".",
"add_hparam",
"(",
"\"prior_scale\"",
",",
"1.0",
")",
"hparams",
".",
"add_hparam",
"(",
"\"do_hard_gumbel_softmax\"",
",",
"False",
")",
"hparams",
".",
"add_hparam",
"(",
"\"num_flows\"",
",",
"0",
")",
"hparams",
".",
"add_hparam",
"(",
"\"approximate_gs_entropy\"",
",",
"False",
")",
"hparams",
".",
"add_hparam",
"(",
"\"temperature_warmup_steps\"",
",",
"150000",
")",
"hparams",
".",
"add_hparam",
"(",
"\"sum_over_latents\"",
",",
"False",
")",
"hparams",
".",
"force_full_predict",
"=",
"True",
"# task params",
"hparams",
".",
"add_hparam",
"(",
"\"task\"",
",",
"\"translate\"",
")",
"# translate or image tasks supported",
"return",
"hparams"
] |
Set of hyperparameters.
|
[
"Set",
"of",
"hyperparameters",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_vae.py#L760-L830
|
train
|
Set of hyperparameters for training on AE.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\157' + chr(2017 - 1966) + '\067' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(0b110001) + chr(0b10110 + 0o40) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + chr(0b110010) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1054 - 1005) + chr(2084 - 2033) + chr(0b1111 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + '\063' + '\062' + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\x33' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8262 - 8151) + '\x33' + chr(48), 28482 - 28474), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100 + 0o56) + '\060' + chr(52), 0o10), ehT0Px3KOsy9(chr(1205 - 1157) + chr(111) + chr(262 - 211) + '\060' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(0b110011 + 0o0) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(51) + '\066' + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011110 + 0o21) + chr(1052 - 1001) + '\x30' + chr(687 - 635), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b110110) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011 + 0o0) + '\064' + '\x31', 0b1000), ehT0Px3KOsy9(chr(1785 - 1737) + chr(0b100110 + 0o111) + chr(0b100101 + 0o14) + chr(0b110011) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(978 - 867) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3895 - 3784) + chr(1711 - 1660) + chr(0b110100) + chr(0b101000 + 0o14), 51181 - 51173), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + chr(0b1001 + 0o50) + chr(0b110001) + '\060', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101100 + 0o6) + '\x37' + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + '\x32' + chr(49), 25700 - 25692), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + '\061' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8594 - 8483) + chr(1512 - 1461) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(2014 - 1966) + chr(0b10000 + 0o137) + chr(0b110010) + chr(0b100101 + 0o13), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b110001) + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(0b110100 + 0o73) + '\061' + chr(50) + chr(0b1000 + 0o53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + '\x37' + chr(234 - 181), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\063' + '\x31', 0o10), ehT0Px3KOsy9(chr(1690 - 1642) + '\x6f' + chr(0b100 + 0o54), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10101 + 0o132) + '\x32' + chr(53) + '\x37', 55918 - 55910), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1087 - 1038) + chr(1162 - 1112) + chr(2060 - 2009), 8), ehT0Px3KOsy9('\x30' + chr(0b1101000 + 0o7) + '\063' + chr(54) + '\061', 62436 - 62428), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + '\067', 8), ehT0Px3KOsy9(chr(164 - 116) + '\x6f' + chr(0b110001) + '\x30' + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\063' + '\063' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\064' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(175 - 127) + chr(9786 - 9675) + '\063' + '\064' + chr(2072 - 2022), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\060' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\060' + chr(1422 - 1367), 32738 - 32730), ehT0Px3KOsy9(chr(0b110000) + chr(0b110011 + 0o74) + chr(2372 - 2318) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\x32' + '\x32', 27581 - 27573)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(5761 - 5650) + chr(0b110101) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b1010000 + 0o37) + chr(0b1100100) + chr(101))('\x75' + '\x74' + '\x66' + chr(1199 - 1154) + chr(83 - 27)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def MSZNPl9tByzW():
n4ljua2gi1Pr = Nk9m9eKr4iuF.transformer_small()
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(297 - 249) + '\x6f' + '\x34' + chr(48) + chr(0b10111 + 0o31) + chr(48), 0o10)
n4ljua2gi1Pr.QGSIpd_yUNzU = 0.2
n4ljua2gi1Pr.fHyhoyGmdvM9 = ehT0Px3KOsy9(chr(2149 - 2101) + '\x6f' + chr(55) + '\066' + chr(0b100001 + 0o23) + chr(48), 0o10)
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9(chr(48) + '\157' + '\063', 0o10)
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(0b110000) + chr(0b1100100 + 0o13) + '\066' + chr(395 - 347) + chr(0b110000), 0b1000)
n4ljua2gi1Pr.deybX8NJ0oEI = ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(9996 - 9885) + '\064' + '\060' + chr(1369 - 1321) + '\x30', 8)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), '\144' + '\x65' + chr(1122 - 1023) + chr(111) + chr(0b1100100) + chr(0b1001101 + 0o30))(chr(0b1110101) + chr(116) + chr(102) + chr(45) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\x19z-\xa4\xf9k\xf7\x9b\xbc\x9e\xa8\xc7\x84.[\x97!\xc2\xb4'), '\144' + chr(3797 - 3696) + chr(0b1100011) + chr(0b1101001 + 0o6) + chr(2064 - 1964) + '\145')('\x75' + chr(116) + '\146' + '\055' + chr(1399 - 1343)), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(9464 - 9353) + chr(0b1001 + 0o53) + chr(0b110000) + chr(0b110000) + '\060', 8) * ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1001 + 0o51), 0o10))
n4ljua2gi1Pr.FSjUgdaczzRk = 0.0
n4ljua2gi1Pr.XdKNcYRObPK3 = xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12v0'), '\144' + '\x65' + '\143' + '\x6f' + chr(0b1100100) + '\145')('\x75' + chr(1574 - 1458) + chr(0b11 + 0o143) + chr(45) + chr(0b1111 + 0o51))
n4ljua2gi1Pr.o17O_bIptWdl = 1e-09
n4ljua2gi1Pr.GcOjyd7zcDH8 = 0.9
n4ljua2gi1Pr.CBOVKNT0M9cG = 0.997
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), '\x64' + '\x65' + chr(99) + '\157' + chr(0b1100100) + '\145')(chr(5880 - 5763) + chr(0b101000 + 0o114) + chr(0b1111 + 0o127) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x84)d4\xac\xf9'), '\x64' + chr(6433 - 6332) + '\x63' + '\x6f' + '\x64' + chr(101))(chr(0b1011011 + 0o32) + chr(0b101011 + 0o111) + chr(8265 - 8163) + chr(45) + chr(56)), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(140 - 86), 7459 - 7451))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(1049 - 949) + '\145' + chr(8425 - 8326) + chr(0b111000 + 0o67) + chr(0b1100100) + '\x65')(chr(117) + '\164' + chr(0b110011 + 0o63) + chr(731 - 686) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x19~.\xb3\xc3|\xe1\xb2'), chr(0b1100100) + chr(0b1001010 + 0o33) + '\143' + chr(111) + chr(0b1000100 + 0o40) + chr(6235 - 6134))(chr(117) + chr(6845 - 6729) + chr(0b1100110) + chr(0b11100 + 0o21) + '\070'), 0.5)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(6316 - 6216) + chr(0b1100101) + '\143' + '\x6f' + chr(100) + chr(0b1100101))('\x75' + '\164' + chr(0b1100110) + chr(0b101010 + 0o3) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a)z4\xae'), '\144' + chr(0b1011000 + 0o15) + chr(99) + chr(9941 - 9830) + chr(5650 - 5550) + '\x65')(chr(0b11 + 0o162) + chr(0b1110100) + chr(0b1100110) + chr(1258 - 1213) + '\x38'), 0.5)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(100) + chr(384 - 283) + chr(0b10110 + 0o115) + chr(0b1101111) + '\x64' + '\x65')(chr(0b1010111 + 0o36) + chr(0b110000 + 0o104) + chr(8360 - 8258) + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b"\x92\x19p4\xa2\xc3v\xeb\xb6\xb7\x96\xa8\xda\x9b=p\x8d'\xd6"), chr(8953 - 8853) + chr(7533 - 7432) + '\x63' + '\x6f' + chr(7824 - 7724) + chr(7235 - 7134))(chr(11000 - 10883) + '\x74' + chr(4116 - 4014) + chr(45) + chr(0b1100 + 0o54)), ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + chr(49), 0b1000))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), '\144' + chr(7824 - 7723) + '\x63' + chr(0b1101110 + 0o1) + chr(0b1100100) + chr(101))('\165' + chr(11773 - 11657) + '\x66' + chr(45) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\x19e9\x89\xf8j\xeb\xb4\xb5\x82\xb0'), chr(0b110000 + 0o64) + '\145' + chr(99) + '\x6f' + chr(0b1100100) + '\x65')(chr(0b1001110 + 0o47) + chr(116) + chr(9191 - 9089) + '\x2d' + chr(0b111000)), 0.0)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), '\x64' + chr(0b1100101) + '\x63' + chr(1318 - 1207) + chr(0b1010101 + 0o17) + chr(101))(chr(117) + '\x74' + '\146' + '\x2d' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\x19c)\xba\xf9v\xe1\xa7\xb1\xa8\xaf\xda\x8f8'), chr(0b111010 + 0o52) + chr(101) + chr(99) + '\157' + chr(0b1100100) + chr(1518 - 1417))(chr(0b1101110 + 0o7) + chr(116) + '\146' + '\055' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\x13z5\xb7\xefp'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(111) + chr(152 - 52) + chr(0b1100101))(chr(0b1110101) + chr(0b1011100 + 0o30) + '\x66' + chr(0b11011 + 0o22) + chr(0b111000)))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), '\x64' + chr(0b11111 + 0o106) + chr(99) + chr(9775 - 9664) + chr(0b1100100) + chr(8789 - 8688))(chr(0b1110101) + '\x74' + chr(0b1100110) + '\055' + chr(156 - 100)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x03z\x02\xb4\xf0w\xe7\xaf\xa9'), '\x64' + chr(0b1100010 + 0o3) + chr(7682 - 7583) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(8126 - 8009) + '\164' + '\x66' + '\x2d' + '\x38'), ehT0Px3KOsy9(chr(48) + chr(0b1010111 + 0o30) + chr(49), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(100) + chr(5885 - 5784) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(101))(chr(117) + '\164' + '\146' + chr(1687 - 1642) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x03z\x02\xb2\xf9{\xeb\xa0\xbf\xa8\xa6\xdf\x8e?o\x97'), chr(7918 - 7818) + '\145' + '\143' + chr(0b1101111) + chr(100) + chr(804 - 703))(chr(117) + '\x74' + chr(6432 - 6330) + '\055' + chr(0b111000)), ehT0Px3KOsy9('\060' + '\157' + chr(2240 - 2191), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(0b100100 + 0o100) + '\x65' + chr(99) + chr(0b1101111) + chr(7065 - 6965) + chr(0b1100101 + 0o0))(chr(12689 - 12572) + '\164' + '\146' + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x03z\x02\xa4\xf9k\xed\xa0\xaf\x96\xa8\xc0'), chr(3145 - 3045) + chr(0b1101 + 0o130) + '\143' + '\157' + chr(0b1100100) + chr(0b1 + 0o144))('\165' + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b111000)), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110 + 0o53), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(0b1100100) + chr(8108 - 8007) + '\143' + chr(0b1101111 + 0o0) + chr(7401 - 7301) + '\145')('\165' + '\164' + '\x66' + '\x2d' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\x19e9\x89\xefp\xf1\xa2\xbc\x9b\xa1'), '\144' + chr(0b1001100 + 0o31) + '\143' + '\157' + '\144' + chr(101))('\x75' + '\x74' + chr(6298 - 6196) + '\x2d' + '\x38'), 0.5)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(0b101111 + 0o65) + '\x65' + chr(7981 - 7882) + chr(0b1 + 0o156) + chr(5677 - 5577) + chr(0b110101 + 0o60))(chr(0b1101111 + 0o6) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b0 + 0o70)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\x17b.\xb7\xf0'), chr(3854 - 3754) + chr(0b1100101) + chr(0b1100011) + '\157' + '\144' + chr(0b1100101))('\x75' + '\164' + chr(0b1100110) + '\055' + chr(0b111000)), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), '\144' + chr(0b1100101) + chr(4193 - 4094) + chr(4786 - 4675) + '\144' + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\x13d5\xb7\xec}\xdb\xa9\xbf\x83\xac\xdc\x85'), chr(0b1100100) + chr(7968 - 7867) + chr(99) + chr(7348 - 7237) + chr(0b100001 + 0o103) + '\145')(chr(117) + chr(116) + chr(0b1100110) + chr(143 - 98) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\x1a~>\xb3'), chr(0b1001001 + 0o33) + chr(101) + '\x63' + chr(111) + chr(3992 - 3892) + '\145')(chr(117) + chr(9255 - 9139) + chr(7688 - 7586) + chr(0b11001 + 0o24) + '\070'))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(0b1100100) + chr(101) + '\x63' + chr(0b1101111) + chr(100) + '\145')('\x75' + '\164' + chr(102) + chr(0b101101) + chr(0b100000 + 0o30)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\x04v4\xb8\xfdz\xe8\xa1\x85\x87\xb6\xdc\x8b9g\x90!\xd7\xbf='), chr(100) + chr(0b1100101) + chr(1713 - 1614) + '\x6f' + chr(0b100101 + 0o77) + chr(0b1011101 + 0o10))(chr(117) + '\x74' + chr(1910 - 1808) + chr(45) + chr(0b110100 + 0o4)), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100 + 0o54), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(0b111001 + 0o53) + chr(101) + chr(0b1100011) + '\157' + '\x64' + chr(0b1100101))('\x75' + chr(9193 - 9077) + '\146' + chr(677 - 632) + chr(0b11000 + 0o40)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\x18z<\xa5\xf7}\xe0\x9b\xaa\x92\xb6\xd0\x842p\x85/\xdd'), chr(0b111000 + 0o54) + chr(0b110101 + 0o60) + '\143' + chr(0b1101111) + chr(6620 - 6520) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(1022 - 977) + chr(0b101000 + 0o20)), 0.1)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), '\144' + '\145' + chr(0b1000010 + 0o41) + '\x6f' + chr(0b111100 + 0o50) + chr(101))(chr(0b1110101) + chr(116) + chr(102) + chr(45) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\x19H<\xb3'), chr(0b1100100) + chr(101) + chr(6184 - 6085) + chr(10073 - 9962) + chr(0b1100100) + chr(7382 - 7281))('\x75' + chr(116) + chr(4501 - 4399) + chr(294 - 249) + chr(776 - 720)), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(100) + chr(0b1011011 + 0o12) + '\x63' + chr(0b1000011 + 0o54) + chr(0b100110 + 0o76) + chr(8238 - 8137))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(258 - 202)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\x19H0\xb7\xefs'), chr(8749 - 8649) + '\x65' + '\143' + chr(10949 - 10838) + '\144' + chr(2078 - 1977))(chr(117) + '\x74' + chr(5298 - 5196) + chr(45) + chr(0b111000)), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(7982 - 7882) + '\x65' + chr(5820 - 5721) + '\x6f' + chr(0b1100100) + '\145')(chr(0b1110101) + chr(116) + chr(117 - 15) + chr(0b101101) + chr(0b11011 + 0o35)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\x05r\x02\xa6\xee}\xe0\xad\xb9\x83\x9b\xde\x80/o'), '\144' + '\145' + '\x63' + '\157' + chr(0b1100100) + '\145')(chr(117) + '\164' + chr(0b1100110) + chr(0b101101) + '\x38'), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11110 + 0o23), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), '\x64' + chr(3177 - 3076) + chr(0b111110 + 0o45) + '\157' + chr(0b1000110 + 0o36) + '\145')(chr(0b1110101) + chr(0b1110010 + 0o2) + chr(0b1100110) + chr(45) + chr(2439 - 2383)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\x19H/\xb3\xfaq\xea\xa1'), '\144' + '\x65' + chr(1811 - 1712) + chr(0b1101111) + chr(0b1100010 + 0o2) + chr(0b1100101))(chr(0b1001110 + 0o47) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(1360 - 1304)), ehT0Px3KOsy9(chr(859 - 811) + chr(111) + chr(0b11110 + 0o22), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), '\x64' + chr(1062 - 961) + chr(0b1000111 + 0o34) + '\157' + chr(0b1100100) + chr(3587 - 3486))('\x75' + '\164' + '\x66' + '\x2d' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\x19H<\xa2\xe8}\xea\xa0\x85\x94\xab\xde\x91.a\x97;'), '\144' + chr(0b1100101) + chr(0b1000111 + 0o34) + chr(0b1101000 + 0o7) + chr(0b1011111 + 0o5) + chr(101))(chr(0b101110 + 0o107) + chr(1590 - 1474) + '\x66' + chr(0b1011 + 0o42) + '\x38'), ehT0Px3KOsy9('\x30' + chr(1362 - 1251) + chr(1641 - 1593), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(0b110001 + 0o63) + chr(0b1010101 + 0o20) + chr(0b1100011) + '\x6f' + chr(0b101001 + 0o73) + chr(0b1100101))(chr(0b1110101) + chr(0b1100100 + 0o20) + chr(102) + '\x2d' + chr(0b100100 + 0o24)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\x19H<\xa2\xe8}\xea\xa0\x85\x93\xa1\xd0\x8e1t\x96-\xcb\xa2'), '\144' + chr(0b101100 + 0o71) + '\143' + '\157' + chr(0b111010 + 0o52) + chr(101))(chr(0b11010 + 0o133) + '\x74' + chr(0b10001 + 0o125) + chr(0b101101) + '\x38'), ehT0Px3KOsy9('\060' + chr(0b1000000 + 0o57) + chr(49), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(938 - 838) + chr(101) + chr(99) + '\157' + chr(7055 - 6955) + '\x65')(chr(10846 - 10729) + chr(0b1011101 + 0o27) + chr(0b1100110) + chr(0b101101 + 0o0) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\x19H/\xb3\xefq\xe0\xb1\xbb\x9b\x9b\xd0\x8e1t\x96-\xcb\xa2'), '\144' + '\145' + chr(0b1100011) + chr(8684 - 8573) + chr(0b1100100) + chr(0b1011000 + 0o15))(chr(0b1110100 + 0o1) + '\164' + chr(0b101111 + 0o67) + '\x2d' + chr(0b111000)), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + '\x30', 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(0b1010101 + 0o17) + chr(101) + chr(0b1100011) + '\157' + chr(100) + chr(0b1100101))(chr(0b10110 + 0o137) + '\x74' + '\x66' + chr(88 - 43) + chr(2304 - 2248)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\x04x-\x89\xf5v\xf4\xb1\xae\x84'), '\144' + chr(0b10111 + 0o116) + chr(99) + chr(111) + chr(100) + chr(0b101001 + 0o74))(chr(117) + '\x74' + chr(6746 - 6644) + '\x2d' + chr(56)), ehT0Px3KOsy9('\060' + chr(0b1001 + 0o146) + '\x30', 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(100) + '\145' + chr(5307 - 5208) + chr(5961 - 5850) + chr(0b10111 + 0o115) + chr(0b111111 + 0o46))(chr(0b1110101) + chr(0b1110100) + chr(3748 - 3646) + chr(1991 - 1946) + chr(1155 - 1099)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x88)d4\xac\xf9'), '\x64' + chr(0b1011100 + 0o11) + chr(0b1100011) + chr(0b100010 + 0o115) + chr(0b101100 + 0o70) + chr(3323 - 3222))(chr(117) + '\164' + '\x66' + chr(384 - 339) + chr(0b111000)), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + chr(496 - 446) + '\060' + chr(0b110000) + '\060', ord("\x08")) * ehT0Px3KOsy9(chr(48) + chr(0b111100 + 0o63) + '\x31' + chr(0b100 + 0o54) + chr(642 - 594), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(6497 - 6397) + chr(101) + '\143' + '\157' + chr(100) + chr(0b1100101))(chr(0b101000 + 0o115) + chr(10963 - 10847) + chr(102) + chr(45) + chr(0b11111 + 0o31)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x93\x17o\x02\xb5\xf3v\xf0\xa1\xa2\x83\x9b\xdf\x842c\x90 '), chr(3662 - 3562) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(7328 - 7228) + chr(8773 - 8672))(chr(4423 - 4306) + chr(10738 - 10622) + '\x66' + chr(0b101101) + chr(56)), ehT0Px3KOsy9(chr(332 - 284) + chr(0b1101111) + '\061' + chr(76 - 28) + '\060', 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(0b100011 + 0o101) + chr(0b101111 + 0o66) + chr(7325 - 7226) + chr(0b11101 + 0o122) + chr(2457 - 2357) + chr(0b110101 + 0o60))(chr(11150 - 11033) + chr(0b1110100) + chr(0b1001 + 0o135) + chr(892 - 847) + chr(1605 - 1549)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x03z\x02\xb5\xf3u\xf4\xb6\xbf\x84\xb7\xec\x92(a\x94;'), '\x64' + '\145' + chr(99) + chr(1051 - 940) + chr(0b1000110 + 0o36) + chr(0b1100100 + 0o1))(chr(0b1110101) + chr(0b1100110 + 0o16) + '\146' + '\x2d' + chr(56)), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101001 + 0o12), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(100) + chr(925 - 824) + chr(99) + chr(111) + chr(0b1100000 + 0o4) + chr(101))(chr(7566 - 7449) + chr(3213 - 3097) + chr(0b1100110) + '\055' + chr(1721 - 1665)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\x02v/\xa2\xe9h\xdb\xb7\xae\x92\xb4\xc0'), '\144' + chr(4917 - 4816) + chr(8200 - 8101) + chr(0b101011 + 0o104) + chr(9321 - 9221) + '\x65')(chr(0b1001 + 0o154) + chr(8048 - 7932) + '\146' + chr(760 - 715) + chr(0b0 + 0o70)), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\x33' + '\064' + '\062' + chr(0b110000), 0o10))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), '\x64' + chr(101) + chr(554 - 455) + chr(0b111010 + 0o65) + chr(0b10000 + 0o124) + '\x65')(chr(0b1110101) + chr(116) + chr(102) + chr(45) + chr(0b111000 + 0o0)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x93\x17d6\x89\xefl\xe5\xb6\xae\x82\xb4\xec\x92(a\x94;'), '\144' + chr(1950 - 1849) + chr(0b101100 + 0o67) + chr(0b1101011 + 0o4) + '\x64' + '\x65')(chr(0b111 + 0o156) + chr(0b1110100) + chr(2763 - 2661) + chr(45) + chr(1679 - 1623)), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b101011 + 0o104) + chr(1171 - 1122) + chr(570 - 518) + '\x31' + chr(0b101110 + 0o7) + '\x32' + chr(2277 - 2229), ord("\x08")))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(0b10 + 0o142) + '\x65' + '\x63' + chr(0b1101111) + chr(100) + chr(565 - 464))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b10000 + 0o50)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x84)s/\xb9\xecw\xf1\xb0'), chr(9490 - 9390) + chr(0b1100101) + chr(0b1100011) + chr(953 - 842) + chr(0b1100100) + '\145')(chr(117) + chr(4328 - 4212) + chr(0b1100110) + '\x2d' + '\070'), 0.1)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), '\144' + chr(0b1100101) + chr(0b1100011) + '\157' + chr(100) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b11 + 0o143) + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x97\x05Ho\xb2'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(100) + '\x65')(chr(117) + chr(0b1110100) + chr(102) + '\x2d' + chr(0b111000)), ehT0Px3KOsy9(chr(48) + chr(5269 - 5158) + chr(64 - 16), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(0b1100100) + chr(6678 - 6577) + chr(99) + '\157' + chr(0b110001 + 0o63) + '\145')(chr(117) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(1943 - 1887)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\x19q)\xbb\xfd`\xdb\xaf'), chr(100) + '\145' + chr(99) + '\x6f' + '\144' + chr(101))(chr(0b1001000 + 0o55) + '\x74' + chr(102) + '\x2d' + '\x38'), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110000), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(0b1100100) + '\145' + chr(0b1100011) + '\x6f' + '\144' + chr(0b1001111 + 0o26))(chr(7936 - 7819) + '\x74' + chr(8177 - 8075) + chr(0b1011 + 0o42) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\x13t2\xb2\xf9G\xe5\xb1\xae\x98\xb6\xd6\x86.a\x97;\xd1\xa7+'), chr(2033 - 1933) + chr(101) + '\x63' + chr(111) + chr(0b100111 + 0o75) + chr(0b1100101))('\x75' + chr(0b1010011 + 0o41) + chr(102) + '\x2d' + chr(135 - 79)), ehT0Px3KOsy9(chr(48) + chr(0b1011000 + 0o27) + chr(0b11110 + 0o23), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(0b1100100) + chr(0b1011100 + 0o11) + chr(9111 - 9012) + chr(111) + '\x64' + chr(0b1100101))(chr(117) + '\164' + chr(0b1100110) + '\x2d' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\x19H+\xb7\xf9'), chr(0b101110 + 0o66) + chr(0b1100101) + chr(0b10011 + 0o120) + chr(111) + chr(658 - 558) + '\x65')(chr(4665 - 4548) + chr(116) + chr(0b1100 + 0o132) + chr(1567 - 1522) + '\070'), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + chr(0b1 + 0o60), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(1254 - 1143) + chr(100) + chr(0b111101 + 0o50))(chr(3543 - 3426) + chr(0b1000010 + 0o62) + chr(0b1010110 + 0o20) + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\x1fc\x02\xa0\xfd}'), chr(0b1101 + 0o127) + chr(0b1100101) + chr(0b1100011) + chr(2794 - 2683) + chr(0b1100100) + chr(101))('\165' + '\x74' + chr(6981 - 6879) + chr(0b11111 + 0o16) + chr(56)), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101111 + 0o2), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), '\x64' + chr(101) + chr(0b1000001 + 0o42) + chr(0b1001110 + 0o41) + '\144' + '\145')(chr(0b100010 + 0o123) + chr(1226 - 1110) + chr(0b111011 + 0o53) + chr(45) + chr(248 - 192)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\x13c<'), chr(0b1100100) + chr(552 - 451) + chr(0b100101 + 0o76) + '\157' + '\x64' + chr(101))(chr(0b1001100 + 0o51) + '\x74' + '\146' + '\055' + chr(0b111000)), 0.25)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), '\144' + '\145' + chr(0b1100011) + chr(12292 - 12181) + '\144' + chr(1682 - 1581))('\165' + chr(6660 - 6544) + chr(102) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x06d4\xba\xf3v'), '\x64' + chr(0b1100101) + chr(6878 - 6779) + '\x6f' + '\144' + '\x65')(chr(0b1110101) + chr(0b1000101 + 0o57) + chr(0b1100110) + '\055' + chr(56)), 1e-05)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(0b101010 + 0o72) + chr(3833 - 3732) + chr(0b100111 + 0o74) + chr(4233 - 4122) + '\144' + chr(3041 - 2940))('\x75' + chr(116) + '\x66' + chr(0b1110 + 0o37) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\x13t<\xaf'), '\144' + chr(101) + chr(99) + '\157' + chr(0b1100100) + chr(0b1110 + 0o127))(chr(117) + chr(0b1110100) + '\x66' + chr(982 - 937) + chr(762 - 706)), 0.999)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), '\x64' + chr(0b1010110 + 0o17) + chr(0b1010011 + 0o20) + chr(0b101000 + 0o107) + '\x64' + '\x65')(chr(8140 - 8023) + chr(0b111111 + 0o65) + chr(102) + chr(45) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x1bv'), chr(4984 - 4884) + chr(0b1100101) + '\x63' + '\157' + chr(0b11001 + 0o113) + chr(6621 - 6520))('\x75' + chr(0b1110011 + 0o1) + chr(0b101110 + 0o70) + chr(45) + chr(2092 - 2036)), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(0b1100100) + '\x65' + chr(4748 - 4649) + chr(0b1101111) + chr(100) + chr(0b100001 + 0o104))(chr(117) + chr(116) + '\x66' + chr(45) + chr(0b11101 + 0o33)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\x17y9\xb9\xf1G\xf0\xab\xaa\xa8\xaf'), chr(187 - 87) + chr(0b1000110 + 0o37) + chr(0b11111 + 0o104) + chr(111) + chr(9626 - 9526) + chr(4986 - 4885))(chr(117) + chr(0b1110100) + chr(0b1011011 + 0o13) + chr(0b101101) + chr(2083 - 2027)), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(9419 - 9308) + chr(49), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(100) + chr(0b1011101 + 0o10) + '\x63' + '\x6f' + chr(557 - 457) + chr(0b1100101))('\x75' + chr(8232 - 8116) + chr(7903 - 7801) + chr(45) + chr(0b10011 + 0o45)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\x19q)\x89\xf9u'), chr(3305 - 3205) + '\145' + chr(99) + '\x6f' + chr(100) + '\145')('\165' + chr(0b100111 + 0o115) + chr(102) + chr(0b100001 + 0o14) + '\x38'), ehT0Px3KOsy9('\060' + chr(0b1100110 + 0o11) + chr(559 - 511), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), '\144' + '\145' + chr(0b111000 + 0o53) + '\x6f' + chr(3296 - 3196) + '\145')(chr(224 - 107) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x03z\x02\xa5\xfdu\xf4\xa8\xbf\x84'), chr(100) + chr(8246 - 8145) + chr(99) + '\157' + chr(100) + chr(0b1100101))(chr(117) + chr(0b101001 + 0o113) + chr(0b1100110) + '\x2d' + chr(56)), ehT0Px3KOsy9(chr(2141 - 2093) + chr(111) + '\061' + chr(0b110010), 0b1000))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(4090 - 3990) + '\145' + chr(99) + chr(0b10000 + 0o137) + chr(0b1100100) + chr(0b111100 + 0o51))(chr(10219 - 10102) + chr(116) + '\146' + chr(1395 - 1350) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x97\x18a\x02\xa2\xf9u\xf4'), '\144' + '\145' + chr(99) + '\157' + chr(8144 - 8044) + chr(3908 - 3807))('\165' + chr(0b1110100) + chr(0b111111 + 0o47) + chr(0b101101) + chr(56)), 1.0)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(0b1100100) + chr(0b111000 + 0o55) + '\143' + '\157' + chr(0b1100100) + chr(119 - 18))(chr(2358 - 2241) + '\x74' + chr(0b1100110) + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x18c/\xb9\xeca\xdb\xb7\xb9\x96\xa8\xd6'), '\x64' + chr(101) + chr(0b11111 + 0o104) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(1855 - 1739) + '\146' + chr(45) + chr(105 - 49)), 0.0)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(0b1000111 + 0o35) + chr(0b1010011 + 0o22) + chr(99) + '\157' + '\144' + chr(101))('\165' + chr(501 - 385) + '\x66' + '\055' + chr(0b10011 + 0o45)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\x04~2\xa4\xc3k\xe7\xa5\xb6\x92'), chr(2371 - 2271) + '\x65' + chr(0b1100011) + chr(5270 - 5159) + chr(510 - 410) + chr(101))(chr(117) + chr(116) + chr(6034 - 5932) + chr(0b11010 + 0o23) + chr(0b101010 + 0o16)), 1.0)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), '\x64' + '\145' + chr(99) + chr(0b1001001 + 0o46) + '\x64' + '\x65')(chr(0b1110101) + '\x74' + '\146' + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\x19H5\xb7\xee|\xdb\xa3\xaf\x9a\xa6\xd6\x8d\x03w\x8b.\xcc\xbc/e'), chr(0b1001100 + 0o30) + chr(0b1011101 + 0o10) + chr(99) + chr(0b1101111) + chr(0b100100 + 0o100) + '\145')(chr(12107 - 11990) + '\164' + chr(0b1010000 + 0o26) + chr(0b101101) + '\070'), ehT0Px3KOsy9('\x30' + chr(111) + chr(700 - 652), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), '\144' + chr(0b1100101) + chr(4206 - 4107) + chr(0b1001101 + 0o42) + chr(4172 - 4072) + chr(0b1100101))(chr(10810 - 10693) + chr(510 - 394) + chr(102) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x03z\x02\xb0\xf0w\xf3\xb7'), '\144' + chr(0b110001 + 0o64) + chr(99) + '\x6f' + '\x64' + chr(101))('\165' + '\164' + '\146' + chr(0b101 + 0o50) + chr(0b111000)), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(48), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(0b1000001 + 0o43) + '\x65' + chr(704 - 605) + chr(111) + chr(0b1100100) + chr(568 - 467))('\x75' + '\x74' + chr(0b1001110 + 0o30) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x06g/\xb9\xe4q\xe9\xa5\xae\x92\x9b\xd4\x92\x03a\x8a<\xca\xbe>d'), chr(6434 - 6334) + '\145' + '\x63' + chr(4736 - 4625) + chr(6437 - 6337) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(7915 - 7813) + chr(0b11000 + 0o25) + chr(0b111000)), ehT0Px3KOsy9('\x30' + chr(0b1101111 + 0o0) + chr(1488 - 1440), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(0b1100100) + '\x65' + chr(5710 - 5611) + chr(111) + chr(0b1010010 + 0o22) + chr(0b1100101))(chr(12563 - 12446) + '\x74' + chr(102) + chr(1388 - 1343) + chr(679 - 623)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\x13z-\xb3\xeey\xf0\xb1\xa8\x92\x9b\xc4\x80.i\x918\xe7\xa2:x`\xff'), chr(0b1100100) + chr(101) + chr(0b0 + 0o143) + chr(0b1101111) + chr(0b1100100) + '\x65')('\x75' + chr(0b1110100) + chr(908 - 806) + chr(939 - 894) + '\070'), ehT0Px3KOsy9(chr(456 - 408) + '\157' + '\064' + chr(0b110100) + chr(270 - 218) + chr(55) + chr(0b110011 + 0o3) + chr(0b100110 + 0o12), ord("\x08")))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), chr(8077 - 7977) + chr(101) + '\143' + chr(5178 - 5067) + '\144' + '\145')('\165' + '\x74' + chr(102) + chr(45) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\x03z\x02\xb9\xea}\xf6\x9b\xb6\x96\xb0\xd6\x8f(w'), chr(6906 - 6806) + chr(101) + chr(4335 - 4236) + '\157' + '\144' + '\145')(chr(5212 - 5095) + chr(0b1110010 + 0o2) + '\146' + chr(0b101101) + '\x38'), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1000 + 0o50), 8))
n4ljua2gi1Pr.FmdIbDrE7jNj = ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101101 + 0o4), 8)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x12s\x02\xbe\xecy\xf6\xa5\xb7'), '\144' + chr(0b111011 + 0o52) + chr(898 - 799) + '\157' + '\144' + chr(0b1010011 + 0o22))(chr(0b10001 + 0o144) + '\164' + chr(0b1010110 + 0o20) + chr(0b10 + 0o53) + chr(826 - 770)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\x17d6'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(111) + chr(100) + chr(101))('\165' + '\x74' + chr(9634 - 9532) + '\x2d' + chr(2335 - 2279)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\x04v3\xa5\xf0y\xf0\xa1'), '\x64' + chr(3157 - 3056) + '\143' + '\157' + '\144' + '\145')(chr(0b1110101) + chr(116) + chr(6341 - 6239) + '\x2d' + chr(0b100100 + 0o24)))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_vae.py
|
imagetransformer_ae_cifar
|
def imagetransformer_ae_cifar():
"""Hyperparameters for CIFAR-10 experiments."""
hparams = transformer_ae_small()
hparams.filter_size = 512
hparams.num_compress_steps = 3
hparams.startup_steps = 10000
hparams.is_2d = 0
hparams.learning_rate_warmup_steps = 8000
hparams.learning_rate = 0.2
hparams.hidden_size = 512
hparams.batch_size = 1
hparams.max_length = 256
hparams.dropout = 0.0
hparams.clip_grad_norm = 0. # i.e. no gradient clipping
hparams.optimizer_adam_epsilon = 1e-9
hparams.learning_rate_decay_scheme = "noam"
hparams.learning_rate = 0.1
hparams.initializer_gain = 0.2
hparams.num_hidden_layers = 6
hparams.initializer = "uniform_unit_scaling"
hparams.weight_decay = 0.0
hparams.optimizer_adam_beta1 = 0.9
hparams.optimizer_adam_beta2 = 0.98
hparams.label_smoothing = 0.0
hparams.norm_type = "layer"
hparams.layer_prepostprocess_dropout = 0.0
hparams.num_heads = 8
hparams.task = "image"
hparams.ffn_layer = "conv_hidden_relu"
# All hyperparameters ending in "dropout" are automatically set to 0.0
# when not in training mode.
hparams.attention_dropout = 0.0
hparams.relu_dropout = 0.
hparams.pos = "timing" # timing, none
hparams.nbr_decoder_problems = 1
hparams.num_output_layers = 3
# TODO(trandustin): semhash doesn't work if filter_size != hidden_size. For
# now, set default to dvq.
hparams.bottleneck_kind = "dvq"
hparams.add_hparam("block_size", 1)
# dilated attention based flags
hparams.add_hparam("gap_sizes", [2, 4, 8, 16, 32, 64, 2, 4, 8, 16, 32, 64])
hparams.add_hparam("dilated_attention", False)
# image size related flags
# assuming that the image has same height and width
hparams.add_hparam("img_len", 32)
hparams.add_hparam("num_channels", 3)
# Local attention params
hparams.add_hparam("local_and_global_att", False)
hparams.add_hparam("block_length", 256)
hparams.add_hparam("block_width", 128)
hparams.num_encoder_layers = 4
hparams.num_decoder_layers = 12
hparams.add_hparam("dec_attention_type", cia.AttentionType.LOCAL_1D)
hparams.add_hparam("block_raster_scan", False)
hparams.add_hparam("shared_rel", False)
# multipos attention params
hparams.add_hparam("q_filter_width", 1)
hparams.add_hparam("kv_filter_width", 1)
hparams.add_hparam("unconditional", False) # unconditional generation
hparams.bottom["targets"] = modalities.image_channel_embeddings_bottom
hparams.top["targets"] = modalities.image_channel_embeddings_top
hparams.drop_inputs = True
hparams.do_attend_compress = False
hparams.do_attend_decompress = False
return hparams
|
python
|
def imagetransformer_ae_cifar():
"""Hyperparameters for CIFAR-10 experiments."""
hparams = transformer_ae_small()
hparams.filter_size = 512
hparams.num_compress_steps = 3
hparams.startup_steps = 10000
hparams.is_2d = 0
hparams.learning_rate_warmup_steps = 8000
hparams.learning_rate = 0.2
hparams.hidden_size = 512
hparams.batch_size = 1
hparams.max_length = 256
hparams.dropout = 0.0
hparams.clip_grad_norm = 0. # i.e. no gradient clipping
hparams.optimizer_adam_epsilon = 1e-9
hparams.learning_rate_decay_scheme = "noam"
hparams.learning_rate = 0.1
hparams.initializer_gain = 0.2
hparams.num_hidden_layers = 6
hparams.initializer = "uniform_unit_scaling"
hparams.weight_decay = 0.0
hparams.optimizer_adam_beta1 = 0.9
hparams.optimizer_adam_beta2 = 0.98
hparams.label_smoothing = 0.0
hparams.norm_type = "layer"
hparams.layer_prepostprocess_dropout = 0.0
hparams.num_heads = 8
hparams.task = "image"
hparams.ffn_layer = "conv_hidden_relu"
# All hyperparameters ending in "dropout" are automatically set to 0.0
# when not in training mode.
hparams.attention_dropout = 0.0
hparams.relu_dropout = 0.
hparams.pos = "timing" # timing, none
hparams.nbr_decoder_problems = 1
hparams.num_output_layers = 3
# TODO(trandustin): semhash doesn't work if filter_size != hidden_size. For
# now, set default to dvq.
hparams.bottleneck_kind = "dvq"
hparams.add_hparam("block_size", 1)
# dilated attention based flags
hparams.add_hparam("gap_sizes", [2, 4, 8, 16, 32, 64, 2, 4, 8, 16, 32, 64])
hparams.add_hparam("dilated_attention", False)
# image size related flags
# assuming that the image has same height and width
hparams.add_hparam("img_len", 32)
hparams.add_hparam("num_channels", 3)
# Local attention params
hparams.add_hparam("local_and_global_att", False)
hparams.add_hparam("block_length", 256)
hparams.add_hparam("block_width", 128)
hparams.num_encoder_layers = 4
hparams.num_decoder_layers = 12
hparams.add_hparam("dec_attention_type", cia.AttentionType.LOCAL_1D)
hparams.add_hparam("block_raster_scan", False)
hparams.add_hparam("shared_rel", False)
# multipos attention params
hparams.add_hparam("q_filter_width", 1)
hparams.add_hparam("kv_filter_width", 1)
hparams.add_hparam("unconditional", False) # unconditional generation
hparams.bottom["targets"] = modalities.image_channel_embeddings_bottom
hparams.top["targets"] = modalities.image_channel_embeddings_top
hparams.drop_inputs = True
hparams.do_attend_compress = False
hparams.do_attend_decompress = False
return hparams
|
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Hyperparameters for CIFAR-10 experiments.
|
[
"Hyperparameters",
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"CIFAR",
"-",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_vae.py#L834-L904
|
train
|
Hyperparameters for CIFAR - 10 experiments.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\x6f' + chr(481 - 430) + '\x31' + chr(664 - 610), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(970 - 916), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101110 + 0o1) + chr(49) + chr(0b1100 + 0o53), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(631 - 582) + chr(1214 - 1162) + chr(0b11110 + 0o22), 5352 - 5344), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b110011) + chr(55), 51580 - 51572), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1072 - 1022) + '\x34', 9010 - 9002), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(0b110110), 14778 - 14770), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(48) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(0b10 + 0o64) + chr(453 - 405), 11803 - 11795), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(1480 - 1432) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x34' + chr(0b1001 + 0o54), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\063' + chr(0b11011 + 0o27), 0o10), ehT0Px3KOsy9(chr(48) + chr(6143 - 6032) + chr(0b110100) + chr(2744 - 2689), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + '\065' + chr(0b110000), 41621 - 41613), ehT0Px3KOsy9(chr(940 - 892) + '\x6f' + chr(49) + chr(2098 - 2045) + '\x36', 0b1000), ehT0Px3KOsy9(chr(1437 - 1389) + chr(6786 - 6675) + '\x31' + '\x31' + '\065', 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(2249 - 2200) + chr(0b110110) + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\067' + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(0b110100) + chr(54), 0b1000), ehT0Px3KOsy9(chr(1471 - 1423) + chr(0b1101111) + chr(0b10001 + 0o41) + chr(0b110111 + 0o0) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2542 - 2488) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(0b101101 + 0o6) + chr(52) + chr(0b100011 + 0o23), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(1745 - 1695) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(143 - 94) + chr(805 - 752) + chr(0b110110), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10100 + 0o36) + chr(0b11000 + 0o34) + chr(1546 - 1497), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000110 + 0o51) + '\x32' + '\064' + chr(0b101011 + 0o6), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\x30', 20335 - 20327), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(0b110110) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2659 - 2548) + chr(50) + chr(0b1011 + 0o45) + chr(0b110001), 8), ehT0Px3KOsy9(chr(48) + chr(0b10001 + 0o136) + chr(127 - 76) + chr(0b110111) + chr(1502 - 1453), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010 + 0o145) + chr(2059 - 2009) + chr(50) + chr(50), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(0b10010 + 0o41) + '\061', 12065 - 12057), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(0b11110 + 0o24) + chr(1835 - 1786), 26419 - 26411), ehT0Px3KOsy9(chr(850 - 802) + chr(111) + chr(1083 - 1034) + chr(0b101001 + 0o12), 42279 - 42271), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + '\x31' + '\x32' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\x32' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(1743 - 1695) + chr(0b111100 + 0o63) + chr(53) + chr(1146 - 1095), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x37' + '\x33', 47348 - 47340), ehT0Px3KOsy9(chr(271 - 223) + chr(111) + chr(49) + chr(0b111 + 0o51) + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11111 + 0o120) + chr(2311 - 2262) + '\x34' + chr(0b110011), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2648 - 2595) + chr(0b11111 + 0o21), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0'), chr(0b1100100) + chr(0b1100101) + chr(0b1010101 + 0o16) + '\x6f' + '\144' + chr(0b1100101))(chr(7404 - 7287) + '\x74' + chr(102) + chr(0b1100 + 0o41) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Ir0eurq_ruV1():
n4ljua2gi1Pr = MSZNPl9tByzW()
n4ljua2gi1Pr.deybX8NJ0oEI = ehT0Px3KOsy9(chr(659 - 611) + chr(11104 - 10993) + chr(0b101110 + 0o3) + chr(0b110000) + chr(48) + chr(48), 0b1000)
n4ljua2gi1Pr._y1Py7UE3OKS = ehT0Px3KOsy9(chr(1689 - 1641) + chr(3504 - 3393) + chr(0b100100 + 0o17), ord("\x08"))
n4ljua2gi1Pr.bC3NvZ9zq7eV = ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101100 + 0o6) + '\x33' + chr(52) + chr(50) + '\x30', ord("\x08"))
n4ljua2gi1Pr.UIOEfhW7N_Ua = ehT0Px3KOsy9(chr(0b110000) + chr(5388 - 5277) + '\060', 8)
n4ljua2gi1Pr.fHyhoyGmdvM9 = ehT0Px3KOsy9(chr(534 - 486) + chr(111) + '\x31' + '\x37' + chr(53) + chr(0b110000) + chr(0b110000), ord("\x08"))
n4ljua2gi1Pr.QGSIpd_yUNzU = 0.2
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9('\060' + '\157' + chr(0b101010 + 0o7) + chr(48) + '\060' + chr(0b100 + 0o54), 8)
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001), 0b1000)
n4ljua2gi1Pr._o7pVXAdOCRy = ehT0Px3KOsy9('\x30' + chr(382 - 271) + chr(0b110100) + chr(48) + '\060', 0b1000)
n4ljua2gi1Pr.ag0mwEgWzjYv = 0.0
n4ljua2gi1Pr.SdNSZNVkVjLh = 0.0
n4ljua2gi1Pr.o17O_bIptWdl = 1e-09
n4ljua2gi1Pr.v3ZnJE9Hdub1 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0in\r'), chr(0b1000011 + 0o41) + chr(7356 - 7255) + chr(99) + '\x6f' + chr(5125 - 5025) + chr(7529 - 7428))('\x75' + chr(0b1110100) + '\x66' + chr(129 - 84) + '\070')
n4ljua2gi1Pr.QGSIpd_yUNzU = 0.1
n4ljua2gi1Pr.S1SbCBXLapw8 = 0.2
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1101 + 0o51), 8)
n4ljua2gi1Pr.kwfuYzkY5C57 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xbbhf\x06\xf0f{\xdeE\xaeL\xeex\xdb\r,\x1b\xd5\x08\xdc'), chr(0b110001 + 0o63) + chr(0b1010000 + 0o25) + chr(0b1100011) + '\x6f' + chr(0b11001 + 0o113) + '\x65')(chr(117) + '\x74' + chr(102) + chr(45) + chr(686 - 630))
n4ljua2gi1Pr.eB4rJl6fUxw9 = 0.0
n4ljua2gi1Pr.GcOjyd7zcDH8 = 0.9
n4ljua2gi1Pr.CBOVKNT0M9cG = 0.98
n4ljua2gi1Pr.FSjUgdaczzRk = 0.0
n4ljua2gi1Pr.LE5Fu6Tcl7nw = xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2gv\x05\xed'), '\144' + chr(0b110 + 0o137) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(2619 - 2518))(chr(0b110111 + 0o76) + chr(0b1110100) + chr(2610 - 2508) + chr(208 - 163) + chr(2685 - 2629))
n4ljua2gi1Pr.RW_xSzp18UeS = 0.0
n4ljua2gi1Pr.vRVqPOZ1hUG7 = ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + chr(154 - 105) + '\x30', 810 - 802)
n4ljua2gi1Pr.md1d2YtjKvCG = xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7kn\x07\xfa'), '\144' + chr(101) + '\143' + chr(0b1011010 + 0o25) + chr(684 - 584) + chr(4488 - 4387))(chr(988 - 871) + chr(116) + chr(0b101000 + 0o76) + chr(0b10010 + 0o33) + chr(0b111000))
n4ljua2gi1Pr.SH5PH2T7PEUB = xafqLlk3kkUe(SXOLrMavuUCe(b'\xadia\x16\xc0|\x7f\xe5T\xa5K\xc5U\xcd\x028'), chr(100) + '\x65' + chr(0b101 + 0o136) + '\x6f' + '\x64' + '\145')(chr(117) + chr(0b11100 + 0o130) + chr(102) + chr(0b11 + 0o52) + chr(0b111000 + 0o0))
n4ljua2gi1Pr.RdMRr3qkYioQ = 0.0
n4ljua2gi1Pr.PJc0PNdBnSag = 0.0
n4ljua2gi1Pr.NXd0aqYJd4lK = xafqLlk3kkUe(SXOLrMavuUCe(b'\xbaob\t\xf1s'), chr(5609 - 5509) + chr(0b111011 + 0o52) + chr(0b1100011) + '\157' + chr(100) + chr(1928 - 1827))(chr(8554 - 8437) + chr(0b10011 + 0o141) + '\146' + chr(0b101011 + 0o2) + chr(0b1101 + 0o53))
n4ljua2gi1Pr.OpEmYz3VSobH = ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10110 + 0o33), 8)
n4ljua2gi1Pr.z9cDrxhZNvF8 = ehT0Px3KOsy9(chr(587 - 539) + chr(5106 - 4995) + chr(51), 8)
n4ljua2gi1Pr.rZIVWZZhpCQD = xafqLlk3kkUe(SXOLrMavuUCe(b'\xaap~'), '\144' + '\x65' + chr(6740 - 6641) + '\157' + chr(100) + '\x65')(chr(0b1110101) + chr(116) + '\146' + chr(0b101101) + chr(56))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xafbk?\xf7dw\xf3Q\xad'), '\144' + '\145' + chr(0b1100011) + '\157' + chr(3570 - 3470) + chr(0b1100001 + 0o4))(chr(0b1011110 + 0o27) + chr(0b1010111 + 0o35) + '\146' + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xacj`\x03\xf4Ke\xe8J\xa5'), chr(3138 - 3038) + '\145' + '\x63' + chr(0b1101111) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(4761 - 4645) + '\x66' + '\055' + '\070'), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xafbk?\xf7dw\xf3Q\xad'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(111) + '\x64' + chr(101))(chr(117) + chr(0b10101 + 0o137) + chr(102) + '\055' + chr(1026 - 970)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9g\x7f?\xec}l\xe4C'), chr(100) + chr(0b101110 + 0o67) + chr(0b1001001 + 0o32) + chr(111) + chr(8049 - 7949) + chr(101))('\x75' + '\164' + chr(102) + '\x2d' + chr(0b110010 + 0o6)), [ehT0Px3KOsy9(chr(964 - 916) + chr(111) + chr(578 - 528), ord("\x08")), ehT0Px3KOsy9(chr(1854 - 1806) + '\x6f' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000001 + 0o56) + '\061' + chr(0b100100 + 0o14), 8), ehT0Px3KOsy9(chr(424 - 376) + chr(0b101001 + 0o106) + chr(1867 - 1817) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110100) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(2190 - 2141) + chr(0b11011 + 0o25) + '\060', 20414 - 20406), ehT0Px3KOsy9(chr(1918 - 1870) + chr(0b1101111) + chr(0b11001 + 0o31), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110100), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b101001 + 0o7), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100101 + 0o15) + chr(48), 8), ehT0Px3KOsy9(chr(0b110000) + chr(7675 - 7564) + chr(0b110100) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(48) + chr(0b10011 + 0o35), 8)])
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xafbk?\xf7dw\xf3Q\xad'), '\x64' + chr(0b100111 + 0o76) + chr(7538 - 7439) + chr(10709 - 10598) + chr(0b1100100) + chr(101))(chr(0b11110 + 0o127) + chr(3109 - 2993) + chr(0b1111 + 0o127) + chr(0b100111 + 0o6) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaoc\x01\xebqr\xdeQ\xb4Q\xffI\xdc\x07"\x19'), '\x64' + chr(0b111011 + 0o52) + chr(0b1001110 + 0o25) + '\x6f' + chr(0b1001101 + 0o27) + '\145')('\165' + chr(0b1110100) + '\x66' + chr(0b1010 + 0o43) + chr(0b111000)), ehT0Px3KOsy9(chr(48) + chr(111) + '\x30', 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xafbk?\xf7dw\xf3Q\xad'), '\144' + chr(0b1100101) + chr(99) + chr(111) + '\144' + '\145')('\165' + '\x74' + chr(3470 - 3368) + '\055' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7kh?\xf3qx'), chr(0b10010 + 0o122) + '\x65' + '\x63' + chr(0b1 + 0o156) + chr(4375 - 4275) + chr(0b101011 + 0o72))(chr(0b1000111 + 0o56) + chr(2386 - 2270) + chr(102) + '\x2d' + '\070'), ehT0Px3KOsy9(chr(532 - 484) + chr(543 - 432) + chr(1406 - 1354) + chr(0b110000), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xafbk?\xf7dw\xf3Q\xad'), '\x64' + chr(0b1000100 + 0o41) + chr(0b11011 + 0o110) + chr(4642 - 4531) + chr(0b101101 + 0o67) + chr(0b1000111 + 0o36))('\165' + chr(116) + chr(102) + chr(45) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0sb?\xfc|w\xef^\xa5I\xe9'), chr(100) + chr(4604 - 4503) + chr(99) + '\157' + chr(100) + chr(101))(chr(0b110010 + 0o103) + '\x74' + '\146' + chr(0b100100 + 0o11) + chr(56)), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(0b110011), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xafbk?\xf7dw\xf3Q\xad'), '\x64' + chr(6316 - 6215) + '\143' + '\157' + '\144' + chr(0b1100101))(chr(117) + '\164' + chr(0b1100110) + '\055' + chr(348 - 292)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2il\x01\xf3Kw\xefT\x9fB\xf6H\xca\x0f!(\xdd\x12\xcf'), chr(0b1100100) + '\x65' + chr(0b110111 + 0o54) + '\x6f' + chr(0b111110 + 0o46) + chr(0b1001 + 0o134))(chr(0b100011 + 0o122) + chr(4726 - 4610) + chr(0b1100110) + '\x2d' + chr(776 - 720)), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110000), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xafbk?\xf7dw\xf3Q\xad'), chr(0b111000 + 0o54) + '\145' + '\143' + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(117) + chr(0b1100111 + 0o15) + chr(0b1100110) + chr(0b10101 + 0o30) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xacj`\x03\xf4Kz\xe4^\xa7Q\xf2'), chr(0b1100100) + chr(4853 - 4752) + chr(0b101110 + 0o65) + '\157' + '\144' + chr(2706 - 2605))(chr(0b1100001 + 0o24) + chr(116) + chr(0b1100110) + '\055' + chr(2735 - 2679)), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1764 - 1712) + chr(1572 - 1524) + chr(52 - 4), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xafbk?\xf7dw\xf3Q\xad'), chr(100) + '\145' + chr(5737 - 5638) + '\x6f' + '\144' + chr(0b1100101))('\165' + chr(116) + chr(299 - 197) + chr(0b100 + 0o51) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xacj`\x03\xf4Ka\xe8T\xb4M'), chr(4343 - 4243) + chr(0b1100101) + chr(0b101011 + 0o70) + '\157' + '\144' + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(1261 - 1159) + chr(0b10101 + 0o30) + chr(56)), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b10011 + 0o35) + chr(0b110 + 0o52), ord("\x08")))
n4ljua2gi1Pr.RS6YkARoTleN = ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(52), 8)
n4ljua2gi1Pr.pRi6YFAYEnH4 = ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(9506 - 9395) + chr(1399 - 1350) + chr(0b10000 + 0o44), 0o10)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xafbk?\xf7dw\xf3Q\xad'), '\144' + chr(2301 - 2200) + chr(0b1001100 + 0o27) + chr(0b1011010 + 0o25) + '\144' + chr(3428 - 3327))(chr(0b100000 + 0o125) + chr(0b1110100) + '\x66' + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xaacl?\xfe`b\xe4^\xb4L\xf5I\xf7\x1a4\x07\xd9'), chr(100) + chr(0b111110 + 0o47) + chr(0b1100011) + chr(8300 - 8189) + chr(0b100111 + 0o75) + chr(0b101 + 0o140))(chr(0b1110101) + chr(0b1110100) + chr(4714 - 4612) + chr(0b101101) + chr(1453 - 1397)), xafqLlk3kkUe(oIL3U1EOcJgs.AttentionType, xafqLlk3kkUe(SXOLrMavuUCe(b"\x82IL!\xd3K'\xc5"), chr(100) + chr(101) + '\x63' + chr(0b100010 + 0o115) + chr(7959 - 7859) + chr(0b100010 + 0o103))(chr(117) + chr(0b1010110 + 0o36) + chr(2083 - 1981) + chr(1509 - 1464) + '\x38')))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xafbk?\xf7dw\xf3Q\xad'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(111) + chr(0b1000 + 0o134) + '\x65')('\165' + chr(116) + '\x66' + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xacj`\x03\xf4Kd\xe0C\xb4@\xe8x\xdb\r,\x19'), '\x64' + '\x65' + chr(1857 - 1758) + chr(5306 - 5195) + chr(100) + '\145')(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(568 - 523) + chr(0b111000)), ehT0Px3KOsy9('\x30' + '\157' + chr(629 - 581), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xafbk?\xf7dw\xf3Q\xad'), '\x64' + chr(0b1100101) + chr(0b101000 + 0o73) + chr(6164 - 6053) + '\144' + chr(101))(chr(0b1101111 + 0o6) + '\x74' + chr(0b101110 + 0o70) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbdnn\x12\xfapI\xf3U\xac'), chr(100) + '\145' + chr(0b1100011) + chr(111) + '\144' + chr(101))('\x75' + '\164' + chr(8398 - 8296) + chr(0b101101) + chr(0b111000)), ehT0Px3KOsy9('\x30' + chr(3978 - 3867) + '\060', 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xafbk?\xf7dw\xf3Q\xad'), chr(100) + chr(0b110110 + 0o57) + '\x63' + chr(6215 - 6104) + '\144' + chr(0b1100000 + 0o5))(chr(0b1110101) + chr(7493 - 7377) + chr(0b1100110) + chr(0b11000 + 0o25) + chr(706 - 650)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbfYi\t\xf3`s\xf3o\xb7L\xfeS\xc0'), chr(0b1100100) + chr(568 - 467) + '\143' + chr(12104 - 11993) + '\x64' + chr(101))(chr(117) + chr(0b101011 + 0o111) + '\x66' + chr(0b101101) + '\x38'), ehT0Px3KOsy9('\x30' + chr(6157 - 6046) + '\x31', 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xafbk?\xf7dw\xf3Q\xad'), chr(100) + chr(101) + chr(0b1100011) + chr(8653 - 8542) + chr(100) + chr(0b1000011 + 0o42))(chr(0b1110101) + chr(0b1101011 + 0o11) + chr(0b1100110) + chr(905 - 860) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5pP\x06\xf6xb\xe4B\x9fR\xf3C\xdc\x06'), chr(0b1100100) + '\x65' + '\x63' + '\x6f' + chr(100) + '\145')(chr(3748 - 3631) + '\164' + '\146' + chr(0b10000 + 0o35) + chr(0b10101 + 0o43)), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + '\061', 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xafbk?\xf7dw\xf3Q\xad'), chr(0b1100100) + chr(101) + '\143' + chr(0b1011010 + 0o25) + chr(6628 - 6528) + '\x65')('\165' + chr(0b1110 + 0o146) + chr(0b1000101 + 0o41) + chr(45) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbbhl\x0f\xf1p\x7f\xf5Y\xafK\xfbK'), chr(0b1100100) + chr(101) + chr(9687 - 9588) + '\157' + chr(0b10101 + 0o117) + chr(0b1100101))(chr(7523 - 7406) + chr(0b1100 + 0o150) + chr(1232 - 1130) + '\055' + chr(0b11001 + 0o37)), ehT0Px3KOsy9(chr(0b110000) + chr(10512 - 10401) + '\x30', 8))
n4ljua2gi1Pr.kXxsZxlIQUSQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\xbag}\x07\xfa`e'), chr(0b1100100) + chr(3815 - 3714) + chr(0b1001100 + 0o27) + chr(111) + chr(4537 - 4437) + chr(0b1100101))(chr(0b1001111 + 0o46) + '\x74' + chr(0b1001111 + 0o27) + '\055' + chr(0b111000))] = PuPeNl0CuqOQ.image_channel_embeddings_bottom
n4ljua2gi1Pr.qxrVBjeryNEZ[xafqLlk3kkUe(SXOLrMavuUCe(b'\xbag}\x07\xfa`e'), chr(100) + '\x65' + chr(0b1000010 + 0o41) + chr(3965 - 3854) + chr(100) + chr(101))('\165' + '\164' + chr(7507 - 7405) + chr(0b100010 + 0o13) + chr(56))] = PuPeNl0CuqOQ.image_channel_embeddings_top
n4ljua2gi1Pr.G8CwvOlhfSX1 = ehT0Px3KOsy9('\060' + '\157' + chr(49), 8)
n4ljua2gi1Pr.fLCp0p022fNK = ehT0Px3KOsy9('\060' + '\x6f' + '\060', 8)
n4ljua2gi1Pr._nUXGKZ3Y7_7 = ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110000), 8)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_vae.py
|
imagetransformer_ae_imagenet
|
def imagetransformer_ae_imagenet():
"""For 64x64 ImageNet. ~56M trainable variables."""
hparams = imagetransformer_ae_cifar()
hparams.max_length = int(64 * 64 * 3)
hparams.img_len = 64
hparams.num_heads = 4 # Heads are expensive on TPUs.
# Reduce architecture from 32x32 CIFAR-10 in order to fit in memory.
hparams.num_decoder_layers = 8
hparams.num_compress_steps = 2
return hparams
|
python
|
def imagetransformer_ae_imagenet():
"""For 64x64 ImageNet. ~56M trainable variables."""
hparams = imagetransformer_ae_cifar()
hparams.max_length = int(64 * 64 * 3)
hparams.img_len = 64
hparams.num_heads = 4 # Heads are expensive on TPUs.
# Reduce architecture from 32x32 CIFAR-10 in order to fit in memory.
hparams.num_decoder_layers = 8
hparams.num_compress_steps = 2
return hparams
|
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For 64x64 ImageNet. ~56M trainable variables.
|
[
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"variables",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_vae.py#L907-L916
|
train
|
For 64x64 ImageNet. ~56M trainable variables.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(492 - 444) + '\x6f' + '\062' + chr(1744 - 1694), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + '\x31' + chr(1794 - 1746), 0b1000), ehT0Px3KOsy9('\060' + chr(0b11111 + 0o120) + chr(51) + chr(474 - 421) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + '\061' + chr(0b10 + 0o62) + chr(55), 0o10), ehT0Px3KOsy9(chr(1991 - 1943) + '\157' + '\062' + '\061' + chr(0b11110 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(2016 - 1968) + chr(0b1101111) + '\062' + chr(51) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(684 - 632) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110111 + 0o70) + chr(50) + '\062' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(1184 - 1073) + chr(437 - 386) + '\063' + chr(0b110110 + 0o0), 27073 - 27065), ehT0Px3KOsy9('\x30' + chr(0b1100 + 0o143) + '\x33' + '\x37' + chr(0b1000 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(2233 - 2185) + chr(0b1101111) + chr(0b100101 + 0o14) + chr(0b110110) + chr(0b110111), 16587 - 16579), ehT0Px3KOsy9('\060' + chr(7661 - 7550) + chr(0b10001 + 0o45) + chr(0b1011 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(3220 - 3109) + '\x33' + chr(0b110011) + chr(0b110001), 35791 - 35783), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(51) + chr(0b101010 + 0o10), 0o10), ehT0Px3KOsy9('\060' + chr(12212 - 12101) + chr(51) + chr(0b110011) + chr(50), 8), ehT0Px3KOsy9(chr(1914 - 1866) + chr(0b1001111 + 0o40) + '\061' + chr(0b100111 + 0o16) + chr(831 - 778), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101011 + 0o4) + chr(0b110010) + '\x37' + '\060', 55832 - 55824), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b110101) + chr(534 - 486), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\x34' + '\x34', 39910 - 39902), ehT0Px3KOsy9(chr(1380 - 1332) + chr(0b101 + 0o152) + chr(54) + chr(52), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(597 - 545) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(55) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6297 - 6186) + '\063' + chr(0b110010 + 0o1) + '\062', 8), ehT0Px3KOsy9('\x30' + chr(4132 - 4021) + chr(1997 - 1946) + chr(0b110111) + chr(630 - 576), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(678 - 624) + chr(0b110100), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(76 - 26) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(1173 - 1125) + chr(10679 - 10568) + '\063' + '\067' + '\x36', 8), ehT0Px3KOsy9(chr(278 - 230) + chr(111) + '\063' + chr(48) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1398 - 1348) + chr(51) + chr(0b110100), 8), ehT0Px3KOsy9(chr(1314 - 1266) + '\157' + chr(50) + chr(0b100101 + 0o13) + chr(55), 13943 - 13935), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(51) + chr(1439 - 1391), 557 - 549), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(102 - 53) + '\x34' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1000111 + 0o50) + '\x31' + chr(50) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(249 - 138) + '\063' + '\x30' + '\061', 0o10), ehT0Px3KOsy9(chr(2141 - 2093) + chr(5637 - 5526) + '\x31' + chr(939 - 890) + chr(1584 - 1534), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1055 - 1005) + chr(0b10010 + 0o43) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100100 + 0o15) + '\x31' + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(49) + '\x31', 9242 - 9234), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1902 - 1853) + chr(445 - 397) + chr(754 - 704), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b101101 + 0o102) + '\065' + chr(894 - 846), 37763 - 37755)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'<'), chr(100) + '\145' + chr(0b1111 + 0o124) + '\157' + '\x64' + chr(0b111 + 0o136))(chr(0b1110101) + chr(0b1110100) + chr(3367 - 3265) + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def U5QkyTbz2AJ3():
n4ljua2gi1Pr = Ir0eurq_ruV1()
n4ljua2gi1Pr._o7pVXAdOCRy = ehT0Px3KOsy9(ehT0Px3KOsy9(chr(1575 - 1527) + '\x6f' + chr(0b11101 + 0o24) + chr(48) + '\x30', ord("\x08")) * ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + chr(0b110001) + '\x30' + chr(0b100000 + 0o20), 8) * ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063', 29124 - 29116))
n4ljua2gi1Pr.laxD7jy5y7k1 = ehT0Px3KOsy9(chr(251 - 203) + chr(0b1100010 + 0o15) + chr(1582 - 1533) + chr(1195 - 1147) + '\060', 8)
n4ljua2gi1Pr.vRVqPOZ1hUG7 = ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x34', 0o10)
n4ljua2gi1Pr.pRi6YFAYEnH4 = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\x30', 8)
n4ljua2gi1Pr._y1Py7UE3OKS = ehT0Px3KOsy9(chr(868 - 820) + chr(111) + chr(50), ord("\x08"))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_vae.py
|
transformer_ae_base
|
def transformer_ae_base():
"""Set of hyperparameters."""
hparams = transformer_ae_small()
hparams.batch_size = 2048
hparams.hidden_size = 512
hparams.filter_size = 4096
hparams.num_hidden_layers = 6
return hparams
|
python
|
def transformer_ae_base():
"""Set of hyperparameters."""
hparams = transformer_ae_small()
hparams.batch_size = 2048
hparams.hidden_size = 512
hparams.filter_size = 4096
hparams.num_hidden_layers = 6
return hparams
|
[
"def",
"transformer_ae_base",
"(",
")",
":",
"hparams",
"=",
"transformer_ae_small",
"(",
")",
"hparams",
".",
"batch_size",
"=",
"2048",
"hparams",
".",
"hidden_size",
"=",
"512",
"hparams",
".",
"filter_size",
"=",
"4096",
"hparams",
".",
"num_hidden_layers",
"=",
"6",
"return",
"hparams"
] |
Set of hyperparameters.
|
[
"Set",
"of",
"hyperparameters",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_vae.py#L920-L927
|
train
|
Set of hyperparameters.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(2196 - 2148) + '\x6f' + chr(49) + chr(0b110000) + '\x36', 0o10), ehT0Px3KOsy9(chr(804 - 756) + '\157' + chr(50) + chr(53) + chr(195 - 147), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(761 - 710) + chr(1480 - 1431) + chr(0b10010 + 0o42), ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1010100 + 0o33) + chr(49) + chr(52) + '\064', 11339 - 11331), ehT0Px3KOsy9(chr(0b110000) + chr(1370 - 1259) + '\063' + chr(1832 - 1781) + chr(1792 - 1743), 14659 - 14651), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(576 - 522) + '\060', 43689 - 43681), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(0b110000), 63395 - 63387), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10110 + 0o35) + '\x36' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + chr(0b110010) + chr(1115 - 1061), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(1479 - 1430) + '\x30' + chr(0b110010), 18662 - 18654), ehT0Px3KOsy9(chr(1378 - 1330) + chr(0b1100010 + 0o15) + '\x31' + '\065' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b100001 + 0o25) + chr(0b100010 + 0o21), 0b1000), ehT0Px3KOsy9(chr(989 - 941) + chr(579 - 468) + '\x31' + '\065' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101010 + 0o5) + chr(0b110001) + chr(750 - 696) + chr(0b100000 + 0o24), 16434 - 16426), ehT0Px3KOsy9(chr(881 - 833) + chr(11491 - 11380) + chr(1724 - 1675) + chr(718 - 669) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(814 - 766) + chr(0b1010000 + 0o37) + '\063' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101110 + 0o4) + chr(0b110111) + '\x30', 51357 - 51349), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(1461 - 1411), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(0b110010) + chr(724 - 669), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11111 + 0o22) + chr(0b10011 + 0o43), 0o10), ehT0Px3KOsy9(chr(1890 - 1842) + chr(111) + chr(0b110 + 0o55) + '\060' + '\065', 52643 - 52635), ehT0Px3KOsy9('\060' + chr(0b1011010 + 0o25) + chr(0b110011) + '\x34' + chr(669 - 614), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b110011) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110110), 8), ehT0Px3KOsy9(chr(812 - 764) + chr(0b10000 + 0o137) + chr(0b110001) + '\x33' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110010 + 0o75) + chr(1991 - 1942) + chr(0b101001 + 0o13) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1 + 0o62) + '\066', 43438 - 43430), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b11110 + 0o22) + '\x33', 59993 - 59985), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2968 - 2913) + chr(55), 0b1000), ehT0Px3KOsy9(chr(312 - 264) + chr(111) + '\x31' + '\x32' + chr(0b11100 + 0o33), 25586 - 25578), ehT0Px3KOsy9(chr(820 - 772) + chr(0b1010011 + 0o34) + chr(51) + '\062' + chr(0b110001), 63933 - 63925), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(1987 - 1936) + '\062', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\063' + '\x30', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(921 - 869) + chr(459 - 404), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(378 - 328) + chr(0b100000 + 0o26) + chr(2248 - 2195), 56054 - 56046), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(49) + chr(1871 - 1817), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\x35' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(7281 - 7170) + '\x33' + chr(48) + '\x32', 17506 - 17498), ehT0Px3KOsy9(chr(0b110000) + chr(0b111100 + 0o63) + '\061' + chr(50) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(979 - 931) + '\157' + '\x32' + chr(2238 - 2187), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1000010 + 0o55) + '\x35' + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'h'), chr(3958 - 3858) + '\x65' + chr(0b1100011) + '\157' + chr(0b111110 + 0o46) + chr(0b110 + 0o137))(chr(117) + '\x74' + chr(0b111011 + 0o53) + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def xZFZDwSSkl3h():
n4ljua2gi1Pr = MSZNPl9tByzW()
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110100) + chr(0b110000) + '\x30' + '\x30', 0o10)
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\x30' + '\x30' + chr(0b100101 + 0o13), ord("\x08"))
n4ljua2gi1Pr.deybX8NJ0oEI = ehT0Px3KOsy9(chr(57 - 9) + chr(1432 - 1321) + chr(0b110001) + '\060' + chr(48) + '\060' + '\060', 38066 - 38058)
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9(chr(1954 - 1906) + chr(111) + chr(0b110110), ord("\x08"))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_vae.py
|
transformer_ae_a3
|
def transformer_ae_a3():
"""Set of hyperparameters."""
hparams = transformer_ae_base()
hparams.batch_size = 4096
hparams.layer_prepostprocess_dropout = 0.3
hparams.optimizer = "Adafactor"
hparams.learning_rate = 0.25
hparams.learning_rate_warmup_steps = 10000
return hparams
|
python
|
def transformer_ae_a3():
"""Set of hyperparameters."""
hparams = transformer_ae_base()
hparams.batch_size = 4096
hparams.layer_prepostprocess_dropout = 0.3
hparams.optimizer = "Adafactor"
hparams.learning_rate = 0.25
hparams.learning_rate_warmup_steps = 10000
return hparams
|
[
"def",
"transformer_ae_a3",
"(",
")",
":",
"hparams",
"=",
"transformer_ae_base",
"(",
")",
"hparams",
".",
"batch_size",
"=",
"4096",
"hparams",
".",
"layer_prepostprocess_dropout",
"=",
"0.3",
"hparams",
".",
"optimizer",
"=",
"\"Adafactor\"",
"hparams",
".",
"learning_rate",
"=",
"0.25",
"hparams",
".",
"learning_rate_warmup_steps",
"=",
"10000",
"return",
"hparams"
] |
Set of hyperparameters.
|
[
"Set",
"of",
"hyperparameters",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_vae.py#L931-L939
|
train
|
Set of hyperparameters for AVA3.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(918 - 870) + chr(0b1010001 + 0o36) + chr(0b110010) + chr(0b11011 + 0o34) + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111001 + 0o66) + chr(277 - 224), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(0b110011) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11111 + 0o23) + '\062' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(7714 - 7603) + chr(0b110011) + chr(1342 - 1293) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100110 + 0o11) + '\062' + chr(253 - 202) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(2030 - 1979) + '\x36' + '\063', 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + chr(1453 - 1403) + chr(0b101100 + 0o5) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\x37' + chr(50), 0o10), ehT0Px3KOsy9(chr(784 - 736) + chr(472 - 361) + chr(49) + chr(583 - 531) + chr(0b110100), 23025 - 23017), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + chr(0b1111 + 0o44) + '\x31' + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b110111) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b110000 + 0o77) + '\067' + chr(0b110110), 10841 - 10833), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101010 + 0o5) + chr(0b110001) + '\x30' + chr(50), 58551 - 58543), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\067' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(536 - 485) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\066' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11749 - 11638) + chr(1392 - 1339) + chr(909 - 854), 53371 - 53363), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1001010 + 0o45) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(5641 - 5530) + chr(0b110010) + chr(0b110110) + chr(0b0 + 0o64), 0b1000), ehT0Px3KOsy9('\060' + chr(8340 - 8229) + chr(2598 - 2547) + chr(0b110100) + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + '\065', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\x32' + chr(0b0 + 0o66), ord("\x08")), ehT0Px3KOsy9(chr(1001 - 953) + chr(0b1011101 + 0o22) + chr(51) + chr(53) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10100 + 0o42), ord("\x08")), ehT0Px3KOsy9(chr(62 - 14) + chr(0b1011100 + 0o23) + chr(0b11001 + 0o34) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + '\x32' + '\064' + chr(0b11110 + 0o27), 63145 - 63137), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\x37', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011 + 0o3) + chr(120 - 72), 14739 - 14731), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + '\061' + '\x34' + chr(0b110000 + 0o5), 25638 - 25630), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + '\x32' + chr(0b110011) + chr(0b10001 + 0o46), 0b1000), ehT0Px3KOsy9(chr(1678 - 1630) + chr(111) + chr(1168 - 1117) + '\x34' + '\067', 32005 - 31997), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b110101) + chr(0b1001 + 0o47), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2441 - 2390) + chr(0b0 + 0o64) + chr(0b11010 + 0o33), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(55) + '\062', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b11110 + 0o26), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + '\x33' + chr(52) + chr(0b11101 + 0o30), 8), ehT0Px3KOsy9(chr(306 - 258) + '\x6f' + '\062' + '\x36' + chr(0b110101 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + chr(0b11001 + 0o30) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b1101 + 0o46) + '\060', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2079 - 2026) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x94'), '\144' + chr(0b110111 + 0o56) + chr(0b1100011) + chr(1678 - 1567) + chr(9371 - 9271) + chr(2317 - 2216))(chr(7343 - 7226) + chr(0b100100 + 0o120) + chr(8881 - 8779) + '\x2d' + chr(0b10100 + 0o44)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Fw7WQhXRG6OS():
n4ljua2gi1Pr = xZFZDwSSkl3h()
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9('\060' + chr(9899 - 9788) + '\x31' + chr(2105 - 2057) + '\x30' + chr(1297 - 1249) + '\060', 0b1000)
n4ljua2gi1Pr.RW_xSzp18UeS = 0.3
n4ljua2gi1Pr.XdKNcYRObPK3 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xfba=\xf1\xae\xf8\x87\xe5\x88'), '\144' + chr(0b1100101) + chr(99) + '\157' + '\144' + chr(0b1100101))('\x75' + chr(116) + chr(102) + chr(0b101101) + '\070')
n4ljua2gi1Pr.QGSIpd_yUNzU = 0.25
n4ljua2gi1Pr.fHyhoyGmdvM9 = ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b110011) + chr(0b1101 + 0o47) + chr(0b110010) + '\060', 13045 - 13037)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_vae.py
|
transformer_ae_base_noatt
|
def transformer_ae_base_noatt():
"""Set of hyperparameters."""
hparams = transformer_ae_base()
hparams.reshape_method = "slice"
hparams.bottleneck_kind = "dvq"
hparams.hidden_size = 512
hparams.num_blocks = 1
hparams.num_decode_blocks = 1
hparams.z_size = 12
hparams.do_attend_decompress = False
return hparams
|
python
|
def transformer_ae_base_noatt():
"""Set of hyperparameters."""
hparams = transformer_ae_base()
hparams.reshape_method = "slice"
hparams.bottleneck_kind = "dvq"
hparams.hidden_size = 512
hparams.num_blocks = 1
hparams.num_decode_blocks = 1
hparams.z_size = 12
hparams.do_attend_decompress = False
return hparams
|
[
"def",
"transformer_ae_base_noatt",
"(",
")",
":",
"hparams",
"=",
"transformer_ae_base",
"(",
")",
"hparams",
".",
"reshape_method",
"=",
"\"slice\"",
"hparams",
".",
"bottleneck_kind",
"=",
"\"dvq\"",
"hparams",
".",
"hidden_size",
"=",
"512",
"hparams",
".",
"num_blocks",
"=",
"1",
"hparams",
".",
"num_decode_blocks",
"=",
"1",
"hparams",
".",
"z_size",
"=",
"12",
"hparams",
".",
"do_attend_decompress",
"=",
"False",
"return",
"hparams"
] |
Set of hyperparameters.
|
[
"Set",
"of",
"hyperparameters",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_vae.py#L970-L980
|
train
|
Set of hyperparameters.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1745 - 1694) + chr(0b110001 + 0o2) + chr(464 - 409), 38334 - 38326), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101111 + 0o2) + '\063' + '\064', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(851 - 800) + chr(0b100000 + 0o21) + chr(797 - 747), 51634 - 51626), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\067' + chr(0b101101 + 0o12), 48496 - 48488), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + chr(49) + chr(822 - 774) + chr(865 - 814), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b110101) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(0b110001) + chr(55) + chr(0b1110 + 0o42), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + '\064', 59983 - 59975), ehT0Px3KOsy9(chr(1955 - 1907) + chr(0b1101111) + chr(0b111 + 0o53) + chr(50) + chr(0b0 + 0o63), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1475 - 1424) + chr(0b110110) + chr(48), 38609 - 38601), ehT0Px3KOsy9(chr(48) + chr(8487 - 8376) + chr(0b1 + 0o61) + chr(0b100111 + 0o14), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100110 + 0o13) + chr(1209 - 1159) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101011 + 0o7) + chr(51) + chr(928 - 878), 48350 - 48342), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b110101) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(828 - 777), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + '\064' + chr(0b11111 + 0o30), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111111 + 0o60) + '\x33' + chr(0b110011) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50), 0b1000), ehT0Px3KOsy9(chr(665 - 617) + chr(0b1101111) + chr(0b11000 + 0o32) + '\x37' + chr(657 - 603), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11010 + 0o30) + chr(0b1111 + 0o43) + chr(308 - 260), 14332 - 14324), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(54) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b101110 + 0o101) + '\062' + chr(0b10111 + 0o35) + chr(55), 8210 - 8202), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1111 + 0o42) + '\060' + chr(0b10 + 0o63), 0o10), ehT0Px3KOsy9(chr(866 - 818) + chr(0b110110 + 0o71) + chr(546 - 495) + chr(480 - 431) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101 + 0o142) + chr(0b110010) + chr(0b110001) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b10011 + 0o134) + chr(51) + chr(0b110100) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(341 - 291) + chr(0b110111) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(3988 - 3877) + chr(0b110001) + chr(0b100000 + 0o27) + chr(1890 - 1840), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100101 + 0o12) + chr(0b10 + 0o57) + '\x35' + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\063' + chr(2491 - 2437), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(1712 - 1661) + chr(50), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b110100) + '\x36', 24003 - 23995), ehT0Px3KOsy9('\060' + chr(0b111010 + 0o65) + chr(49) + chr(54) + chr(0b10001 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110100) + chr(0b100110 + 0o21), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100101 + 0o14) + chr(1234 - 1185), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1010 + 0o51) + '\060' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(7457 - 7346) + chr(0b110011) + chr(55) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(1695 - 1647) + '\x6f' + '\061' + '\x32' + chr(54), 0b1000), ehT0Px3KOsy9(chr(1268 - 1220) + '\157' + '\x31' + chr(55) + chr(0b110011), 24703 - 24695), ehT0Px3KOsy9(chr(1835 - 1787) + '\157' + '\063' + chr(50) + chr(0b110100), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(1225 - 1172) + chr(0b101001 + 0o7), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1'), '\x64' + chr(0b1000 + 0o135) + '\143' + '\157' + chr(100) + chr(0b1011111 + 0o6))(chr(9380 - 9263) + chr(0b101111 + 0o105) + chr(0b1100001 + 0o5) + '\055' + chr(0b100111 + 0o21)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def _y8c6yqRTDwR():
n4ljua2gi1Pr = xZFZDwSSkl3h()
n4ljua2gi1Pr.c4UcgDokHFHK = xafqLlk3kkUe(SXOLrMavuUCe(b'\xac0\xa3\x9c&'), chr(8336 - 8236) + '\x65' + chr(99) + chr(631 - 520) + '\144' + chr(0b1100101))(chr(0b101011 + 0o112) + chr(116) + chr(0b1011100 + 0o12) + chr(172 - 127) + '\070')
n4ljua2gi1Pr.rZIVWZZhpCQD = xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb*\xbb'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b111011 + 0o51) + chr(0b100001 + 0o104))('\x75' + chr(0b1000100 + 0o60) + chr(679 - 577) + chr(1403 - 1358) + chr(2775 - 2719))
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(0b110001) + '\x30' + chr(0b110000) + '\x30', ord("\x08"))
n4ljua2gi1Pr.azOnMTJc4Vem = ehT0Px3KOsy9('\060' + chr(111) + chr(0b101101 + 0o4), 0o10)
n4ljua2gi1Pr.apkbg3hFvScF = ehT0Px3KOsy9(chr(1715 - 1667) + '\157' + '\x31', 8)
n4ljua2gi1Pr.NSd4iRY6tdp8 = ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\x34', 18356 - 18348)
n4ljua2gi1Pr._nUXGKZ3Y7_7 = ehT0Px3KOsy9(chr(1413 - 1365) + '\x6f' + chr(2118 - 2070), 45982 - 45974)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_vae.py
|
transformer_ae_small_noatt
|
def transformer_ae_small_noatt():
"""Set of hyperparameters."""
hparams = transformer_ae_small()
hparams.reshape_method = "slice"
hparams.bottleneck_kind = "dvq"
hparams.hidden_size = 512
hparams.num_blocks = 1
hparams.num_decode_blocks = 1
hparams.z_size = 12
hparams.do_attend_decompress = False
return hparams
|
python
|
def transformer_ae_small_noatt():
"""Set of hyperparameters."""
hparams = transformer_ae_small()
hparams.reshape_method = "slice"
hparams.bottleneck_kind = "dvq"
hparams.hidden_size = 512
hparams.num_blocks = 1
hparams.num_decode_blocks = 1
hparams.z_size = 12
hparams.do_attend_decompress = False
return hparams
|
[
"def",
"transformer_ae_small_noatt",
"(",
")",
":",
"hparams",
"=",
"transformer_ae_small",
"(",
")",
"hparams",
".",
"reshape_method",
"=",
"\"slice\"",
"hparams",
".",
"bottleneck_kind",
"=",
"\"dvq\"",
"hparams",
".",
"hidden_size",
"=",
"512",
"hparams",
".",
"num_blocks",
"=",
"1",
"hparams",
".",
"num_decode_blocks",
"=",
"1",
"hparams",
".",
"z_size",
"=",
"12",
"hparams",
".",
"do_attend_decompress",
"=",
"False",
"return",
"hparams"
] |
Set of hyperparameters.
|
[
"Set",
"of",
"hyperparameters",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_vae.py#L984-L994
|
train
|
Set of hyperparameters for training on AE - small.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1011101 + 0o22) + chr(0b110011) + '\060' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(51) + chr(0b100100 + 0o22), 938 - 930), ehT0Px3KOsy9(chr(919 - 871) + '\x6f' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(52) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1065 - 1015) + chr(0b110011) + chr(990 - 939), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\066' + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + '\x33' + '\x37', 37190 - 37182), ehT0Px3KOsy9(chr(1332 - 1284) + chr(0b1101111) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010 + 0o1) + chr(54) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(111 - 57) + chr(573 - 518), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(1806 - 1754) + chr(618 - 567), 8), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b110000 + 0o77) + chr(0b1010 + 0o47) + '\x37' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(919 - 870) + chr(54), 41129 - 41121), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(9386 - 9275) + chr(0b110001) + '\063', 30833 - 30825), ehT0Px3KOsy9(chr(858 - 810) + '\x6f' + chr(51) + chr(0b11111 + 0o21) + chr(51), 8), ehT0Px3KOsy9(chr(48) + chr(3656 - 3545) + '\066' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + '\x32' + chr(0b110011) + '\x33', 8), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(162 - 107), 8815 - 8807), ehT0Px3KOsy9(chr(1002 - 954) + '\x6f' + '\061' + chr(54) + '\067', 1198 - 1190), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1587 - 1536) + chr(0b110111 + 0o0), 8), ehT0Px3KOsy9(chr(253 - 205) + chr(916 - 805) + chr(1967 - 1916) + chr(0b11100 + 0o25) + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + '\064' + chr(0b111 + 0o51), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1646 - 1595) + chr(581 - 526) + chr(0b1110 + 0o47), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(0b11001 + 0o35) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + chr(174 - 124) + chr(2863 - 2808) + chr(1303 - 1254), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(9444 - 9333) + chr(1131 - 1079) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(48) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110101) + chr(0b10101 + 0o41), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(1234 - 1186) + chr(0b1010101 + 0o32) + chr(1491 - 1440) + '\x31' + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(0b110110) + chr(1920 - 1868), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + '\x33' + chr(0b110101) + '\x33', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100 + 0o63) + chr(0b101001 + 0o7), ord("\x08")), ehT0Px3KOsy9(chr(915 - 867) + '\157' + chr(0b10000 + 0o43) + '\x36' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(0b100110 + 0o14) + '\x32' + '\065', 59446 - 59438), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100110 + 0o13) + chr(0b110101) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b110010) + chr(1570 - 1517), 0o10), ehT0Px3KOsy9('\x30' + chr(5855 - 5744) + chr(0b110001) + chr(2181 - 2128) + '\062', 8), ehT0Px3KOsy9(chr(48) + chr(2672 - 2561) + chr(1098 - 1048) + chr(1377 - 1329) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6339 - 6228) + chr(2299 - 2249) + '\067' + chr(0b110000), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1213 - 1165) + '\x6f' + chr(547 - 494) + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xed'), '\144' + chr(101) + chr(9645 - 9546) + chr(0b1101111) + chr(0b101110 + 0o66) + chr(4593 - 4492))('\165' + '\x74' + chr(102) + chr(0b101101) + chr(0b0 + 0o70)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def bX47dt8nP1Ph():
n4ljua2gi1Pr = MSZNPl9tByzW()
n4ljua2gi1Pr.c4UcgDokHFHK = xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\xf2o\x00\xfe'), chr(0b1010100 + 0o20) + chr(1128 - 1027) + '\143' + chr(6844 - 6733) + '\144' + chr(101))(chr(5406 - 5289) + chr(0b111 + 0o155) + chr(0b1100110) + chr(1788 - 1743) + chr(1659 - 1603))
n4ljua2gi1Pr.rZIVWZZhpCQD = xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7\xe8w'), chr(100) + chr(101) + chr(5300 - 5201) + '\157' + chr(0b10 + 0o142) + chr(0b1100101))(chr(117) + chr(0b1110100) + '\x66' + '\x2d' + '\070')
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(48) + chr(0b1001001 + 0o46) + chr(0b110001) + chr(0b110000) + '\060' + chr(0b101 + 0o53), ord("\x08"))
n4ljua2gi1Pr.azOnMTJc4Vem = ehT0Px3KOsy9('\x30' + chr(111) + chr(49), ord("\x08"))
n4ljua2gi1Pr.apkbg3hFvScF = ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111 + 0o0) + chr(0b110001), 8)
n4ljua2gi1Pr.NSd4iRY6tdp8 = ehT0Px3KOsy9(chr(1335 - 1287) + chr(111) + '\x31' + chr(0b110100), 65293 - 65285)
n4ljua2gi1Pr._nUXGKZ3Y7_7 = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11101 + 0o23), 0b1000)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_sketch.py
|
transformer_sketch
|
def transformer_sketch():
"""Basic transformer_sketch hparams."""
hparams = transformer.transformer_small()
hparams.num_compress_steps = 4
hparams.batch_size = 32
hparams.clip_grad_norm = 2.
hparams.sampling_method = "random"
return hparams
|
python
|
def transformer_sketch():
"""Basic transformer_sketch hparams."""
hparams = transformer.transformer_small()
hparams.num_compress_steps = 4
hparams.batch_size = 32
hparams.clip_grad_norm = 2.
hparams.sampling_method = "random"
return hparams
|
[
"def",
"transformer_sketch",
"(",
")",
":",
"hparams",
"=",
"transformer",
".",
"transformer_small",
"(",
")",
"hparams",
".",
"num_compress_steps",
"=",
"4",
"hparams",
".",
"batch_size",
"=",
"32",
"hparams",
".",
"clip_grad_norm",
"=",
"2.",
"hparams",
".",
"sampling_method",
"=",
"\"random\"",
"return",
"hparams"
] |
Basic transformer_sketch hparams.
|
[
"Basic",
"transformer_sketch",
"hparams",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_sketch.py#L55-L62
|
train
|
Basic transformer_sketch hparams.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\x36' + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101001 + 0o10) + chr(0b100010 + 0o22) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(53) + chr(49), 0b1000), ehT0Px3KOsy9(chr(359 - 311) + chr(0b1101111) + chr(1963 - 1912) + chr(0b100110 + 0o12) + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1001 + 0o51) + chr(49) + chr(0b11000 + 0o31), 0o10), ehT0Px3KOsy9(chr(618 - 570) + chr(0b1101111) + '\x32' + '\x35' + '\x31', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\063' + '\x35', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b101001 + 0o13) + '\x34', 39491 - 39483), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11110 + 0o23) + chr(0b110001) + chr(0b11001 + 0o32), 21841 - 21833), ehT0Px3KOsy9(chr(766 - 718) + chr(0b1101111) + chr(1429 - 1376) + chr(0b1111 + 0o50), 29250 - 29242), ehT0Px3KOsy9(chr(48) + chr(0b1001010 + 0o45) + chr(1282 - 1229), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10001 + 0o40) + '\x30' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(52) + chr(0b101010 + 0o12), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(7569 - 7458) + chr(0b11000 + 0o33) + chr(54) + chr(0b110001), 12093 - 12085), ehT0Px3KOsy9(chr(2058 - 2010) + chr(5025 - 4914) + chr(0b101 + 0o54) + chr(0b110000) + chr(0b11000 + 0o32), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(48) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2273 - 2220) + chr(1981 - 1931), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(275 - 226) + '\x37' + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1000111 + 0o50) + chr(586 - 531) + chr(50), 22634 - 22626), ehT0Px3KOsy9('\060' + chr(6847 - 6736) + chr(0b110010) + chr(50) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(473 - 425) + chr(0b1101111) + '\062' + '\x36' + chr(0b110100), 34260 - 34252), ehT0Px3KOsy9('\060' + chr(1467 - 1356) + '\x32' + chr(0b110001) + chr(2066 - 2012), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1078 - 1029) + '\x31' + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(835 - 786) + chr(2545 - 2490) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + '\x31' + chr(51) + '\x37', 62878 - 62870), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + chr(50) + chr(1465 - 1417) + '\060', 13881 - 13873), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b110010) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + chr(0b110000 + 0o6) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(0b110011) + chr(0b110010), 64606 - 64598), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101000 + 0o11) + chr(0b100010 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + '\067' + chr(2272 - 2221), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\x33' + chr(0b101011 + 0o11), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + '\x33' + chr(510 - 456), 0o10), ehT0Px3KOsy9('\060' + chr(1836 - 1725) + chr(0b110010) + '\061' + chr(0b11011 + 0o25), 53441 - 53433), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + chr(0b110001) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(439 - 391) + '\157' + chr(49) + chr(0b11110 + 0o31), ord("\x08")), ehT0Px3KOsy9('\060' + chr(7937 - 7826) + chr(0b110011) + chr(55) + '\065', 0o10), ehT0Px3KOsy9(chr(227 - 179) + chr(827 - 716) + chr(538 - 484) + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(0b1011000 + 0o27) + '\063' + chr(55) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(50) + chr(0b0 + 0o62), 21147 - 21139)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\065' + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\\'), chr(100) + chr(0b1100101 + 0o0) + chr(2076 - 1977) + chr(5216 - 5105) + chr(100) + chr(101))('\165' + chr(0b110 + 0o156) + chr(8038 - 7936) + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def _b1sDPMEyyGj():
n4ljua2gi1Pr = Nk9m9eKr4iuF.transformer_small()
n4ljua2gi1Pr._y1Py7UE3OKS = ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(7337 - 7226) + chr(52), 0o10)
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110100) + chr(828 - 780), 39998 - 39990)
n4ljua2gi1Pr.SdNSZNVkVjLh = 2.0
n4ljua2gi1Pr.Ud1InQ7hapop = xafqLlk3kkUe(SXOLrMavuUCe(b'\x00\x07\xc7\xa6\xe6\xc4'), '\x64' + chr(0b1100101) + chr(8546 - 8447) + chr(111) + '\144' + chr(8402 - 8301))(chr(0b1110101) + '\x74' + chr(102) + chr(45) + chr(0b10000 + 0o50))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
layers
|
def layers():
"""Get the layers module good for TF 1 and TF 2 work for now."""
global _cached_layers
if _cached_layers is not None:
return _cached_layers
layers_module = tf.layers
try:
from tensorflow.python import tf2 # pylint: disable=g-direct-tensorflow-import,g-import-not-at-top
if tf2.enabled():
tf.logging.info("Running in V2 mode, using Keras layers.")
layers_module = tf.keras.layers
except ImportError:
pass
_cached_layers = layers_module
return layers_module
|
python
|
def layers():
"""Get the layers module good for TF 1 and TF 2 work for now."""
global _cached_layers
if _cached_layers is not None:
return _cached_layers
layers_module = tf.layers
try:
from tensorflow.python import tf2 # pylint: disable=g-direct-tensorflow-import,g-import-not-at-top
if tf2.enabled():
tf.logging.info("Running in V2 mode, using Keras layers.")
layers_module = tf.keras.layers
except ImportError:
pass
_cached_layers = layers_module
return layers_module
|
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":",
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] |
Get the layers module good for TF 1 and TF 2 work for now.
|
[
"Get",
"the",
"layers",
"module",
"good",
"for",
"TF",
"1",
"and",
"TF",
"2",
"work",
"for",
"now",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L42-L56
|
train
|
Get the layers module good for TF 1 and TF 2 work for now.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(4063 - 3952) + chr(0b1 + 0o62) + chr(1559 - 1509) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(199 - 150) + chr(0b111 + 0o57), 60678 - 60670), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\063' + chr(1961 - 1909), 8443 - 8435), ehT0Px3KOsy9('\060' + '\157' + chr(0b111 + 0o52) + chr(49) + chr(0b1010 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(674 - 626) + chr(3719 - 3608) + chr(51) + chr(1716 - 1665) + chr(1944 - 1894), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011010 + 0o25) + chr(51) + '\x33' + chr(0b11110 + 0o26), 35331 - 35323), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2550 - 2497) + '\066', 3723 - 3715), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(0b110011) + chr(51) + chr(0b11 + 0o55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(4845 - 4734) + chr(2041 - 1987) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100001 + 0o116) + chr(0b100110 + 0o13) + chr(53) + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\065' + '\x30', 0o10), ehT0Px3KOsy9('\x30' + chr(10943 - 10832) + chr(49) + chr(0b110100), 39663 - 39655), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + chr(743 - 693) + '\067' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(0b10110 + 0o40) + chr(0b110010 + 0o1), 0o10), ehT0Px3KOsy9(chr(402 - 354) + '\x6f' + '\063' + chr(0b110 + 0o55) + chr(52), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100101 + 0o14) + chr(2030 - 1982), 0b1000), ehT0Px3KOsy9(chr(48) + chr(11313 - 11202) + '\066' + '\065', 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(1558 - 1505) + chr(1729 - 1680), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(2708 - 2655) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3805 - 3694) + chr(0b110011) + chr(50) + chr(0b110010), 8), ehT0Px3KOsy9(chr(48) + chr(2681 - 2570) + chr(0b1011 + 0o50) + chr(53) + chr(0b110101), 53350 - 53342), ehT0Px3KOsy9(chr(48) + chr(0b1010100 + 0o33) + chr(0b10101 + 0o34) + chr(0b110101) + '\061', 25679 - 25671), ehT0Px3KOsy9('\x30' + chr(0b101011 + 0o104) + chr(1643 - 1592) + chr(0b11000 + 0o35) + chr(0b10011 + 0o41), 0o10), ehT0Px3KOsy9(chr(53 - 5) + '\x6f' + chr(0b100 + 0o55) + chr(54) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(1217 - 1106) + chr(0b110011) + chr(0b1001 + 0o56) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110100) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1010101 + 0o32) + chr(51) + chr(0b11000 + 0o36) + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(784 - 734) + chr(1550 - 1497) + chr(899 - 850), 8), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + chr(49) + '\061' + chr(0b110000), 3925 - 3917), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11110 + 0o24) + chr(0b110101) + chr(0b110000), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(2470 - 2416) + chr(1834 - 1780), 10563 - 10555), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b110100) + chr(575 - 524), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100 + 0o57) + '\x32' + chr(2223 - 2173), 8), ehT0Px3KOsy9(chr(814 - 766) + chr(111) + '\063' + chr(783 - 734) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110100) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101110 + 0o11) + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(8236 - 8125) + '\062' + chr(54) + chr(0b110000 + 0o2), 42039 - 42031), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b110000) + '\060', 53511 - 53503), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + '\063' + chr(50) + '\x32', 8), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b110010) + chr(0b110100), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1983 - 1935) + chr(4323 - 4212) + '\x35' + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc'), chr(0b1111 + 0o125) + chr(101) + chr(1179 - 1080) + chr(0b11111 + 0o120) + chr(0b1100100) + '\145')(chr(0b1110101) + '\x74' + '\146' + chr(624 - 579) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def sGi5Aql23May():
global sNPDUPhifbvT
if sNPDUPhifbvT is not None:
return sNPDUPhifbvT
AdD9iTIRnrYr = IDJ2eXGCBCDu.sGi5Aql23May
try:
(EaOmQWA3b0ek,) = (xafqLlk3kkUe(xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6k2:\xb5\xaeH\xb4Z\x1a\x86|\xc5G\xb4g['), '\x64' + chr(0b100010 + 0o103) + '\143' + '\157' + chr(100) + chr(0b1100101))(chr(117) + chr(116) + chr(1823 - 1721) + chr(0b101101) + chr(353 - 297)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6hn'), '\144' + chr(6283 - 6182) + chr(6350 - 6251) + chr(111) + chr(0b1100010 + 0o2) + chr(0b1100101))(chr(9928 - 9811) + '\164' + chr(1681 - 1579) + chr(585 - 540) + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2w(!\xb5\xb2'), '\144' + chr(0b11110 + 0o107) + chr(0b1100011) + chr(0b1101111) + chr(9347 - 9247) + '\x65')(chr(117) + chr(0b1110100) + '\146' + '\055' + chr(0b111000))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6hn'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(7497 - 7397) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(102) + chr(0b101101) + chr(56))),)
if xafqLlk3kkUe(EaOmQWA3b0ek, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7`=+\xb6\xb9J'), '\144' + '\145' + chr(0b10101 + 0o116) + chr(111) + chr(8864 - 8764) + chr(0b10101 + 0o120))(chr(13270 - 13153) + chr(116) + chr(1689 - 1587) + chr(0b101101) + chr(56)))():
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\x819\x141\xaf\xbfI\xef_\x01\xf2g'), '\144' + chr(850 - 749) + chr(99) + chr(802 - 691) + chr(100) + chr(0b101001 + 0o74))('\165' + chr(0b1110100) + '\x66' + chr(850 - 805) + chr(0b10011 + 0o45)))(xafqLlk3kkUe(SXOLrMavuUCe(b"\x80{2'\xb3\xb2I\xf8\\\x03\x88Z\x8e\x13\xb1gQ\xcc\x81\xf2\x98\x1a\x85\x1d\x9b\x06\xb8\xcc:\xc9\x85\xc3\xbe\xab\\X\xc0\xf3\xfc"), chr(0b1000001 + 0o43) + chr(7583 - 7482) + chr(4665 - 4566) + chr(0b101111 + 0o100) + chr(0b1000010 + 0o42) + chr(0b110011 + 0o62))('\165' + '\x74' + '\x66' + chr(45) + chr(0b111000)))
AdD9iTIRnrYr = IDJ2eXGCBCDu.keras.sGi5Aql23May
except yROw0HWBk0Qc:
pass
sNPDUPhifbvT = AdD9iTIRnrYr
return AdD9iTIRnrYr
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
dropout_with_broadcast_dims
|
def dropout_with_broadcast_dims(x, keep_prob, broadcast_dims=None, **kwargs):
"""Like tf.nn.dropout but takes broadcast_dims instead of noise_shape.
Instead of specifying noise_shape, this function takes broadcast_dims -
a list of dimension numbers in which noise_shape should be 1. The random
keep/drop tensor has dimensionality 1 along these dimensions.
Args:
x: a floating point tensor.
keep_prob: A scalar Tensor with the same type as x.
The probability that each element is kept.
broadcast_dims: an optional list of integers
the dimensions along which to broadcast the keep/drop flags.
**kwargs: keyword arguments to tf.nn.dropout other than "noise_shape".
Returns:
Tensor of the same shape as x.
"""
assert "noise_shape" not in kwargs
if broadcast_dims:
shape = tf.shape(x)
ndims = len(x.get_shape())
# Allow dimensions like "-1" as well.
broadcast_dims = [dim + ndims if dim < 0 else dim for dim in broadcast_dims]
kwargs["noise_shape"] = [
1 if i in broadcast_dims else shape[i] for i in range(ndims)
]
return tf.nn.dropout(x, keep_prob, **kwargs)
|
python
|
def dropout_with_broadcast_dims(x, keep_prob, broadcast_dims=None, **kwargs):
"""Like tf.nn.dropout but takes broadcast_dims instead of noise_shape.
Instead of specifying noise_shape, this function takes broadcast_dims -
a list of dimension numbers in which noise_shape should be 1. The random
keep/drop tensor has dimensionality 1 along these dimensions.
Args:
x: a floating point tensor.
keep_prob: A scalar Tensor with the same type as x.
The probability that each element is kept.
broadcast_dims: an optional list of integers
the dimensions along which to broadcast the keep/drop flags.
**kwargs: keyword arguments to tf.nn.dropout other than "noise_shape".
Returns:
Tensor of the same shape as x.
"""
assert "noise_shape" not in kwargs
if broadcast_dims:
shape = tf.shape(x)
ndims = len(x.get_shape())
# Allow dimensions like "-1" as well.
broadcast_dims = [dim + ndims if dim < 0 else dim for dim in broadcast_dims]
kwargs["noise_shape"] = [
1 if i in broadcast_dims else shape[i] for i in range(ndims)
]
return tf.nn.dropout(x, keep_prob, **kwargs)
|
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Like tf.nn.dropout but takes broadcast_dims instead of noise_shape.
Instead of specifying noise_shape, this function takes broadcast_dims -
a list of dimension numbers in which noise_shape should be 1. The random
keep/drop tensor has dimensionality 1 along these dimensions.
Args:
x: a floating point tensor.
keep_prob: A scalar Tensor with the same type as x.
The probability that each element is kept.
broadcast_dims: an optional list of integers
the dimensions along which to broadcast the keep/drop flags.
**kwargs: keyword arguments to tf.nn.dropout other than "noise_shape".
Returns:
Tensor of the same shape as x.
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L103-L130
|
train
|
Like tf. nn. dropout but takes broadcast_dims instead of noise_shape.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(6925 - 6814) + chr(0b11101 + 0o26) + chr(48) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7987 - 7876) + chr(0b110001) + '\061' + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100110 + 0o11) + chr(1390 - 1341) + chr(1000 - 950) + '\x34', 23668 - 23660), ehT0Px3KOsy9(chr(1087 - 1039) + chr(0b10000 + 0o137) + chr(1330 - 1281) + chr(0b110110) + chr(0b110000), 51440 - 51432), ehT0Px3KOsy9(chr(48) + chr(0b1101101 + 0o2) + chr(0b110010) + chr(0b110011) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\x30' + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + chr(9314 - 9203) + '\065' + chr(0b100100 + 0o16), 65333 - 65325), ehT0Px3KOsy9(chr(48) + chr(0b1001100 + 0o43) + '\063' + chr(0b110010) + chr(0b101000 + 0o14), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(55) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(0b1011110 + 0o21) + '\x36', 42289 - 42281), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(52) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(1440 - 1392) + chr(111) + '\066' + '\x31', 33545 - 33537), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b10 + 0o63) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11111 + 0o23) + chr(0b101011 + 0o14) + chr(0b101001 + 0o16), 8), ehT0Px3KOsy9(chr(0b110000) + chr(3460 - 3349) + chr(0b100000 + 0o22) + chr(0b110101 + 0o0) + chr(0b110000), 37320 - 37312), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + chr(921 - 871) + chr(0b111 + 0o55) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b11000 + 0o127) + '\061' + '\x32' + chr(0b100101 + 0o15), ord("\x08")), ehT0Px3KOsy9('\060' + chr(2929 - 2818) + '\x31' + chr(0b1010 + 0o53) + chr(1642 - 1590), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4062 - 3951) + chr(1189 - 1140) + '\x33' + chr(0b110101), 12170 - 12162), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110110) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(625 - 576) + '\062' + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(5870 - 5759) + '\x35' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(452 - 341) + chr(51) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1386 - 1338) + chr(111) + chr(49) + '\061' + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000101 + 0o52) + chr(0b10111 + 0o37) + chr(395 - 346), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b100011 + 0o23), 0o10), ehT0Px3KOsy9(chr(1222 - 1174) + '\157' + chr(0b110010) + '\x32' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(55) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\066' + chr(0b110111), 40948 - 40940), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110100 + 0o1) + chr(0b100000 + 0o21), 0b1000), ehT0Px3KOsy9(chr(1168 - 1120) + chr(0b1011000 + 0o27) + chr(851 - 796) + chr(0b11110 + 0o27), 0o10), ehT0Px3KOsy9(chr(1985 - 1937) + chr(111) + '\x32' + chr(54) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000 + 0o147) + '\x31' + chr(491 - 441), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(50) + chr(0b110100) + '\062', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(521 - 472) + chr(1741 - 1691) + chr(0b1 + 0o60), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x37' + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b1010 + 0o47) + '\064', 16220 - 16212), ehT0Px3KOsy9(chr(1302 - 1254) + chr(0b110110 + 0o71) + '\062' + '\064' + chr(1983 - 1935), 0o10), ehT0Px3KOsy9(chr(1544 - 1496) + chr(111) + chr(1789 - 1738) + chr(55), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(55 - 7) + '\157' + chr(0b101 + 0o60) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xef'), chr(100) + chr(5650 - 5549) + chr(306 - 207) + chr(111) + '\144' + chr(10053 - 9952))('\165' + '\x74' + chr(0b1010110 + 0o20) + chr(938 - 893) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Ue76kt5RmoeT(OeWW0F1dBPRQ, gHeP0t6GwBIV, ebymKgNp_y2o=None, **M8EIoTs2GJXE):
assert xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf$=\x03\xf8\xdcY\xbc\xdev\xc7'), chr(423 - 323) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b100001 + 0o103) + chr(0b1100101))(chr(10633 - 10516) + chr(116) + chr(102) + '\x2d' + chr(0b110100 + 0o4)) not in M8EIoTs2GJXE
if ebymKgNp_y2o:
nauYfLglTpcb = IDJ2eXGCBCDu.nauYfLglTpcb(OeWW0F1dBPRQ)
OLYL2NTQs758 = c2A0yzQpDQB3(OeWW0F1dBPRQ.get_shape())
ebymKgNp_y2o = [Nl_JhL3qUwSN + OLYL2NTQs758 if Nl_JhL3qUwSN < ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110000), 0b1000) else Nl_JhL3qUwSN for Nl_JhL3qUwSN in ebymKgNp_y2o]
M8EIoTs2GJXE[xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf$=\x03\xf8\xdcY\xbc\xdev\xc7'), chr(4896 - 4796) + chr(101) + chr(99) + chr(111) + chr(9531 - 9431) + chr(0b1100101))(chr(117) + '\x74' + '\x66' + '\055' + '\070')] = [ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1011101 + 0o22) + '\061', 10869 - 10861) if WVxHKyX45z_L in ebymKgNp_y2o else nauYfLglTpcb[WVxHKyX45z_L] for WVxHKyX45z_L in vQr8gNKaIaWE(OLYL2NTQs758)]
return xafqLlk3kkUe(IDJ2eXGCBCDu.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0,d\x1d\xea\xc6M\x83\xc5l\xfbG'), '\144' + '\x65' + chr(0b1100011) + chr(0b101011 + 0o104) + chr(100) + '\145')('\165' + chr(11899 - 11783) + chr(0b1100110) + chr(1075 - 1030) + chr(1061 - 1005)))(OeWW0F1dBPRQ, gHeP0t6GwBIV, **M8EIoTs2GJXE)
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
saturating_sigmoid
|
def saturating_sigmoid(x):
"""Saturating sigmoid: 1.2 * sigmoid(x) - 0.1 cut to [0, 1]."""
with tf.name_scope("saturating_sigmoid", values=[x]):
y = tf.sigmoid(x)
return tf.minimum(1.0, tf.maximum(0.0, 1.2 * y - 0.1))
|
python
|
def saturating_sigmoid(x):
"""Saturating sigmoid: 1.2 * sigmoid(x) - 0.1 cut to [0, 1]."""
with tf.name_scope("saturating_sigmoid", values=[x]):
y = tf.sigmoid(x)
return tf.minimum(1.0, tf.maximum(0.0, 1.2 * y - 0.1))
|
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] |
Saturating sigmoid: 1.2 * sigmoid(x) - 0.1 cut to [0, 1].
|
[
"Saturating",
"sigmoid",
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L137-L141
|
train
|
Saturating sigmoid.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9946 - 9835) + chr(1147 - 1098) + '\061' + chr(224 - 169), 0o10), ehT0Px3KOsy9('\060' + chr(9509 - 9398) + chr(0b110001) + '\067' + chr(160 - 108), 51551 - 51543), ehT0Px3KOsy9(chr(1368 - 1320) + chr(0b100110 + 0o111) + chr(274 - 225) + chr(54) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10001 + 0o41) + chr(324 - 269) + chr(1245 - 1191), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x31' + '\x37' + chr(0b1101 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(2220 - 2172) + chr(0b1101111) + '\062' + chr(0b10111 + 0o31) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(55) + chr(0b100001 + 0o25), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b110001) + chr(0b110001), 59290 - 59282), ehT0Px3KOsy9(chr(2203 - 2155) + chr(111) + chr(50) + '\061' + chr(0b11100 + 0o26), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(0b10011 + 0o43) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(1919 - 1869) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\061' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(2280 - 2232) + chr(0b1110 + 0o141) + '\x37' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b110101) + chr(1600 - 1549), 0b1000), ehT0Px3KOsy9(chr(2284 - 2236) + chr(111) + chr(54) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(4082 - 3971) + '\062' + chr(0b110011) + chr(2118 - 2064), 0b1000), ehT0Px3KOsy9(chr(272 - 224) + '\x6f' + chr(54) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\065' + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(53) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b10110 + 0o131) + '\x32' + chr(48) + chr(0b11111 + 0o30), 8), ehT0Px3KOsy9('\x30' + chr(2654 - 2543) + '\x32' + '\064' + chr(0b10101 + 0o37), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11000 + 0o32) + '\066' + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(52) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + '\x32' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\x31' + chr(152 - 99), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\060' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100001 + 0o16) + chr(49) + '\x34' + chr(0b11000 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1100 + 0o52) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(0b10110 + 0o131) + '\064' + '\x32', 58264 - 58256), ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\064' + '\063', 0b1000), ehT0Px3KOsy9(chr(604 - 556) + '\157' + '\063' + '\064' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11110 + 0o121) + chr(0b110011) + '\x35' + chr(48), 42155 - 42147), ehT0Px3KOsy9('\060' + chr(5875 - 5764) + chr(55) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(0b1000 + 0o51) + chr(48) + '\x37', 37555 - 37547), ehT0Px3KOsy9(chr(48) + chr(0b10011 + 0o134) + '\063' + chr(0b110001) + chr(0b100000 + 0o25), 28531 - 28523), ehT0Px3KOsy9(chr(0b110000) + chr(8260 - 8149) + chr(566 - 516) + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(6990 - 6879) + '\067' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b101111 + 0o100) + chr(0b11110 + 0o25) + '\064' + chr(1239 - 1187), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(679 - 627) + '\064', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(276 - 228) + chr(1710 - 1599) + chr(53) + chr(2231 - 2183), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'/'), '\x64' + '\x65' + chr(99) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(1403 - 1287) + '\146' + chr(0b100111 + 0o6) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZFSA0QNhg0Rd(OeWW0F1dBPRQ):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'o.\x11\x17\xe1\n\xe4\x11\xf9\xef'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(111) + '\x64' + chr(7761 - 7660))('\165' + chr(0b1110100) + chr(3792 - 3690) + '\x2d' + chr(1884 - 1828)))(xafqLlk3kkUe(SXOLrMavuUCe(b'r.\x08\x07\xcc\x18\xf3\x17\xe7\xed\xee\xe0%\\\x86\\\xf7S'), '\144' + chr(0b1000111 + 0o36) + chr(0b1100011) + chr(111) + '\x64' + chr(0b1100101))('\x75' + chr(5386 - 5270) + '\146' + chr(0b10010 + 0o33) + '\x38'), values=[OeWW0F1dBPRQ]):
SqiSOtYOqOJH = IDJ2eXGCBCDu.sigmoid(OeWW0F1dBPRQ)
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'l&\x12\x1b\xd3\x0c\xea'), '\x64' + '\x65' + chr(0b1100011) + chr(12302 - 12191) + chr(8027 - 7927) + chr(5269 - 5168))(chr(117) + chr(116) + chr(102) + chr(0b101101) + chr(2460 - 2404)))(1.0, xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'l.\x04\x1b\xd3\x0c\xea'), chr(0b1100100) + '\145' + chr(99) + chr(0b110011 + 0o74) + chr(9152 - 9052) + chr(101))('\165' + chr(116) + '\146' + chr(0b101101) + '\x38'))(0.0, 1.2 * SqiSOtYOqOJH - 0.1))
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
inverse_exp_decay
|
def inverse_exp_decay(max_step, min_value=0.01, step=None):
"""Inverse-decay exponentially from 0.01 to 1.0 reached at max_step."""
inv_base = tf.exp(tf.log(min_value) / float(max_step))
if step is None:
step = tf.train.get_global_step()
if step is None:
return 1.0
step = to_float(step)
return inv_base**tf.maximum(float(max_step) - step, 0.0)
|
python
|
def inverse_exp_decay(max_step, min_value=0.01, step=None):
"""Inverse-decay exponentially from 0.01 to 1.0 reached at max_step."""
inv_base = tf.exp(tf.log(min_value) / float(max_step))
if step is None:
step = tf.train.get_global_step()
if step is None:
return 1.0
step = to_float(step)
return inv_base**tf.maximum(float(max_step) - step, 0.0)
|
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] |
Inverse-decay exponentially from 0.01 to 1.0 reached at max_step.
|
[
"Inverse",
"-",
"decay",
"exponentially",
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L155-L163
|
train
|
Inverse - decay exponentially from 0. 01 to 1. 0 reached at max_step.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1010000 + 0o37) + '\x31' + chr(49) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(816 - 768) + chr(8149 - 8038) + chr(0b110100) + '\x32', 11141 - 11133), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(0b110100) + chr(0b1001 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(1605 - 1556), 0o10), ehT0Px3KOsy9(chr(573 - 525) + '\x6f' + '\061' + chr(0b110001) + chr(55), 8), ehT0Px3KOsy9('\x30' + '\157' + '\067' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\067' + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010011 + 0o34) + chr(0b110011) + chr(49) + chr(383 - 334), 59178 - 59170), ehT0Px3KOsy9(chr(2278 - 2230) + chr(111) + chr(0b110001) + chr(0b1111 + 0o46) + '\066', 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(49) + chr(2910 - 2856), 60086 - 60078), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1080 - 1029) + chr(52) + chr(0b1 + 0o63), 62384 - 62376), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\x32' + chr(0b10110 + 0o37), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(0b110010) + '\064' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101010 + 0o14), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\063' + chr(0b110110), 19834 - 19826), ehT0Px3KOsy9('\060' + '\x6f' + chr(1442 - 1393) + '\067' + chr(48), 16771 - 16763), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101000 + 0o13) + '\062' + chr(700 - 651), 64880 - 64872), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b101001 + 0o14) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(53) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(2054 - 1943) + chr(0b11 + 0o56) + '\062' + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b110000) + chr(872 - 819), 20418 - 20410), ehT0Px3KOsy9(chr(0b110000) + chr(0b100 + 0o153) + '\x32' + chr(1785 - 1733) + chr(536 - 482), 0b1000), ehT0Px3KOsy9(chr(48) + chr(4834 - 4723) + chr(1873 - 1820) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(0b110101) + chr(1070 - 1021), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011 + 0o0) + '\x32' + chr(0b100111 + 0o11), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101110 + 0o1) + '\061' + '\x36' + chr(0b100100 + 0o22), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b110011 + 0o74) + '\062' + chr(351 - 300) + '\066', 8), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b110000) + chr(0b1100 + 0o46), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(2080 - 2030) + '\060' + chr(1622 - 1570), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1110 + 0o45) + chr(0b110110) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(2156 - 2108) + chr(0b1101111) + chr(49) + chr(55) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\061' + chr(0b11011 + 0o32), 58127 - 58119), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + '\064' + chr(48), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(55) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(50) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1100111 + 0o10) + chr(0b11110 + 0o24) + '\064' + chr(48), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(2665 - 2612) + chr(0b110101 + 0o1), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100100 + 0o15) + chr(923 - 868), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\065' + '\x32', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1100000 + 0o17) + '\x35' + chr(248 - 200), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'a'), chr(0b1011111 + 0o5) + chr(0b1100101) + chr(0b1001011 + 0o30) + chr(12108 - 11997) + chr(0b1100 + 0o130) + '\145')('\x75' + chr(116) + chr(0b11000 + 0o116) + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Z2x1tq3Owbeb(_qMNZmZG8_bE, wY8Tkfl_AfB7=0.01, kDuFsAhEatcU=None):
Pqvhndf8S3XV = IDJ2eXGCBCDu.exp(IDJ2eXGCBCDu.log(wY8Tkfl_AfB7) / kkSX4ccExqw4(_qMNZmZG8_bE))
if kDuFsAhEatcU is None:
kDuFsAhEatcU = IDJ2eXGCBCDu.train.get_global_step()
if kDuFsAhEatcU is None:
return 1.0
kDuFsAhEatcU = ZUL3kHBGU8Uu(kDuFsAhEatcU)
return Pqvhndf8S3XV ** xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'"C\xdcx"I\xd7'), chr(100) + chr(101) + '\143' + '\x6f' + '\x64' + chr(0b1001001 + 0o34))('\x75' + chr(116) + '\x66' + chr(0b100000 + 0o15) + '\x38'))(kkSX4ccExqw4(_qMNZmZG8_bE) - kDuFsAhEatcU, 0.0)
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
inverse_lin_decay
|
def inverse_lin_decay(max_step, min_value=0.01, step=None):
"""Inverse-decay linearly from 0.01 to 1.0 reached at max_step."""
if step is None:
step = tf.train.get_global_step()
if step is None:
return 1.0
step = to_float(step)
progress = tf.minimum(step / float(max_step), 1.0)
return progress * (1.0 - min_value) + min_value
|
python
|
def inverse_lin_decay(max_step, min_value=0.01, step=None):
"""Inverse-decay linearly from 0.01 to 1.0 reached at max_step."""
if step is None:
step = tf.train.get_global_step()
if step is None:
return 1.0
step = to_float(step)
progress = tf.minimum(step / float(max_step), 1.0)
return progress * (1.0 - min_value) + min_value
|
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"progress",
"*",
"(",
"1.0",
"-",
"min_value",
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"+",
"min_value"
] |
Inverse-decay linearly from 0.01 to 1.0 reached at max_step.
|
[
"Inverse",
"-",
"decay",
"linearly",
"from",
"0",
".",
"01",
"to",
"1",
".",
"0",
"reached",
"at",
"max_step",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L166-L174
|
train
|
Inverse - decay linearly from 0. 01 to 1. 0 reached at max_step.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b10010 + 0o135) + chr(0b110010) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b101001 + 0o15) + '\x31', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(2566 - 2515) + '\064' + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10 + 0o61) + chr(0b1000 + 0o57) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1123 - 1072) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(412 - 357) + chr(0b11001 + 0o31), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1011 + 0o47) + chr(55) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000000 + 0o57) + chr(0b110010) + chr(0b110000) + chr(1030 - 982), 0b1000), ehT0Px3KOsy9(chr(867 - 819) + chr(111) + chr(50) + '\x30' + '\063', 25369 - 25361), ehT0Px3KOsy9(chr(48) + chr(111) + '\067' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b111 + 0o53) + chr(50), 59199 - 59191), ehT0Px3KOsy9('\060' + chr(0b1010101 + 0o32) + chr(0b101110 + 0o5) + '\067' + chr(1245 - 1193), 49780 - 49772), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(52) + chr(0b10 + 0o63), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110 + 0o53), 55847 - 55839), ehT0Px3KOsy9(chr(431 - 383) + '\157' + chr(49) + chr(1992 - 1941) + chr(0b110011), 50277 - 50269), ehT0Px3KOsy9('\x30' + chr(0b101110 + 0o101) + chr(0b110000 + 0o3) + chr(52) + chr(0b110111), 25169 - 25161), ehT0Px3KOsy9(chr(1557 - 1509) + '\157' + '\065' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101 + 0o55) + chr(0b110100) + chr(0b0 + 0o66), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(670 - 616) + chr(0b1111 + 0o46), 33198 - 33190), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b10110 + 0o131) + chr(0b10000 + 0o41) + chr(48) + chr(51), 12255 - 12247), ehT0Px3KOsy9(chr(0b110000) + chr(4805 - 4694) + chr(51) + '\x37' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(11400 - 11289) + '\x32' + chr(50) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(54) + '\066', 31066 - 31058), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110110) + '\066', 8), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + chr(51) + chr(374 - 321) + chr(0b10011 + 0o44), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(2537 - 2483) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\x35' + chr(52), 35952 - 35944), ehT0Px3KOsy9(chr(1243 - 1195) + chr(0b1101111) + chr(55) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(53) + chr(2747 - 2693), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5301 - 5190) + '\x37' + '\x30', 8), ehT0Px3KOsy9(chr(48) + chr(12099 - 11988) + '\064' + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(2303 - 2192) + chr(0b110011) + '\063' + chr(2326 - 2277), 0o10), ehT0Px3KOsy9(chr(1722 - 1674) + chr(2593 - 2482) + chr(0b110001) + '\x34' + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(52) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x34' + chr(0b11011 + 0o32), 8), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + chr(0b110011) + chr(53) + '\x34', 0b1000), ehT0Px3KOsy9(chr(1228 - 1180) + chr(111) + '\x32' + chr(0b110011) + chr(0b1111 + 0o42), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + chr(0b10100 + 0o36) + chr(1534 - 1486) + chr(2605 - 2550), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(0b100011 + 0o23) + chr(0b110011), 24419 - 24411), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1100111 + 0o10) + chr(779 - 728) + '\x34' + '\065', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(0b1110 + 0o47) + chr(48), 43106 - 43098)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'9'), chr(9861 - 9761) + chr(0b111110 + 0o47) + chr(99) + chr(111) + chr(9862 - 9762) + chr(0b100100 + 0o101))('\165' + chr(8162 - 8046) + '\146' + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def q3RBXZ5T5TaL(_qMNZmZG8_bE, wY8Tkfl_AfB7=0.01, kDuFsAhEatcU=None):
if kDuFsAhEatcU is None:
kDuFsAhEatcU = IDJ2eXGCBCDu.train.get_global_step()
if kDuFsAhEatcU is None:
return 1.0
kDuFsAhEatcU = ZUL3kHBGU8Uu(kDuFsAhEatcU)
Vvaid42SSlzd = IDJ2eXGCBCDu.minimum(kDuFsAhEatcU / kkSX4ccExqw4(_qMNZmZG8_bE), 1.0)
return Vvaid42SSlzd * (1.0 - wY8Tkfl_AfB7) + wY8Tkfl_AfB7
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
shakeshake2_py
|
def shakeshake2_py(x, y, equal=False, individual=False):
"""The shake-shake sum of 2 tensors, python version."""
if equal:
alpha = 0.5
elif individual:
alpha = tf.random_uniform(tf.get_shape(x)[:1])
else:
alpha = tf.random_uniform([])
return alpha * x + (1.0 - alpha) * y
|
python
|
def shakeshake2_py(x, y, equal=False, individual=False):
"""The shake-shake sum of 2 tensors, python version."""
if equal:
alpha = 0.5
elif individual:
alpha = tf.random_uniform(tf.get_shape(x)[:1])
else:
alpha = tf.random_uniform([])
return alpha * x + (1.0 - alpha) * y
|
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] |
The shake-shake sum of 2 tensors, python version.
|
[
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"python",
"version",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L177-L186
|
train
|
The shake - shake sum of 2 tensors python version.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11100 + 0o27) + chr(0b1000 + 0o51) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b100100 + 0o113) + chr(0b110001) + chr(296 - 248) + chr(0b1 + 0o57), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + chr(0b11001 + 0o32) + chr(195 - 141) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101010 + 0o11) + chr(0b110111) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000101 + 0o52) + chr(0b11101 + 0o25) + chr(0b101011 + 0o13) + chr(50), 32972 - 32964), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010 + 0o145) + '\x32' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(551 - 503) + chr(0b1101 + 0o142) + chr(51) + '\x37' + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + '\x35' + chr(0b110010 + 0o4), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\x6f' + chr(1112 - 1061) + chr(0b10 + 0o65) + chr(0b100101 + 0o21), 8), ehT0Px3KOsy9('\060' + chr(0b111101 + 0o62) + chr(2173 - 2122) + '\x35', 64775 - 64767), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(1593 - 1540) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(49) + chr(704 - 649), 22982 - 22974), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2399 - 2348) + chr(1152 - 1104) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + chr(761 - 712) + chr(0b110000) + chr(0b11111 + 0o24), 1589 - 1581), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\x33' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1225 - 1173) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(1404 - 1353) + '\x32', 27710 - 27702), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(6259 - 6148) + chr(0b110010) + chr(148 - 100) + chr(0b110100), 53609 - 53601), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + '\061' + chr(0b110010 + 0o3) + '\064', 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(11271 - 11160) + chr(0b110011) + chr(1165 - 1116) + chr(2177 - 2122), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b111 + 0o53) + '\062', 0b1000), ehT0Px3KOsy9(chr(987 - 939) + chr(503 - 392) + chr(49) + '\066' + chr(53), 0o10), ehT0Px3KOsy9(chr(678 - 630) + '\x6f' + chr(1870 - 1821) + chr(0b110100) + '\064', 22644 - 22636), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101110 + 0o4) + chr(0b11110 + 0o23) + chr(2346 - 2296), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\062' + '\063', 24396 - 24388), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + chr(49) + chr(0b110000) + '\x37', 4344 - 4336), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(52) + '\x37', 0o10), ehT0Px3KOsy9(chr(110 - 62) + chr(8372 - 8261) + '\x31' + '\065' + '\066', 38419 - 38411), ehT0Px3KOsy9(chr(0b110000) + chr(2418 - 2307) + '\061' + chr(0b110011) + chr(0b11101 + 0o23), 0b1000), ehT0Px3KOsy9(chr(1518 - 1470) + chr(6781 - 6670) + chr(0b100001 + 0o21) + chr(0b1010 + 0o47) + chr(50), 8), ehT0Px3KOsy9(chr(2253 - 2205) + '\157' + chr(1875 - 1824) + chr(1313 - 1258) + chr(0b110110), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\063' + '\x31', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100111 + 0o13) + '\x33' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(1613 - 1565) + '\157' + '\x32' + chr(0b110010 + 0o5) + chr(1317 - 1262), 55882 - 55874), ehT0Px3KOsy9(chr(48) + chr(0b1011000 + 0o27) + '\x31' + chr(0b110110), 21210 - 21202), ehT0Px3KOsy9(chr(69 - 21) + chr(111) + '\061' + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(449 - 399) + '\x36' + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(49) + '\x36', 39886 - 39878), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b110101 + 0o72) + chr(1877 - 1826) + chr(48) + chr(2185 - 2132), 24496 - 24488)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(0b110101) + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6'), chr(100) + chr(101) + chr(0b1111 + 0o124) + '\157' + chr(0b1100010 + 0o2) + chr(0b1100101))('\165' + chr(0b1001000 + 0o54) + '\146' + chr(353 - 308) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def AprVeX4hDDvZ(OeWW0F1dBPRQ, SqiSOtYOqOJH, Ndbzm8Gf14QP=ehT0Px3KOsy9(chr(48) + chr(10990 - 10879) + '\060', 0b1000), PMDCR8yu1Ek_=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1448 - 1400), 8)):
if Ndbzm8Gf14QP:
gDUX9w35YHFE = 0.5
elif PMDCR8yu1Ek_:
gDUX9w35YHFE = IDJ2eXGCBCDu.random_uniform(IDJ2eXGCBCDu.get_shape(OeWW0F1dBPRQ)[:ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(0b110001), 0o10)])
else:
gDUX9w35YHFE = IDJ2eXGCBCDu.random_uniform([])
return gDUX9w35YHFE * OeWW0F1dBPRQ + (1.0 - gDUX9w35YHFE) * SqiSOtYOqOJH
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
shakeshake2_grad
|
def shakeshake2_grad(x1, x2, dy):
"""Overriding gradient for shake-shake of 2 tensors."""
y = shakeshake2_py(x1, x2)
dx = tf.gradients(ys=[y], xs=[x1, x2], grad_ys=[dy])
return dx
|
python
|
def shakeshake2_grad(x1, x2, dy):
"""Overriding gradient for shake-shake of 2 tensors."""
y = shakeshake2_py(x1, x2)
dx = tf.gradients(ys=[y], xs=[x1, x2], grad_ys=[dy])
return dx
|
[
"def",
"shakeshake2_grad",
"(",
"x1",
",",
"x2",
",",
"dy",
")",
":",
"y",
"=",
"shakeshake2_py",
"(",
"x1",
",",
"x2",
")",
"dx",
"=",
"tf",
".",
"gradients",
"(",
"ys",
"=",
"[",
"y",
"]",
",",
"xs",
"=",
"[",
"x1",
",",
"x2",
"]",
",",
"grad_ys",
"=",
"[",
"dy",
"]",
")",
"return",
"dx"
] |
Overriding gradient for shake-shake of 2 tensors.
|
[
"Overriding",
"gradient",
"for",
"shake",
"-",
"shake",
"of",
"2",
"tensors",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L190-L194
|
train
|
Overriding gradient for shake - shake of 2 tensors.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\064' + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(0b11000 + 0o36) + chr(0b11110 + 0o26), 11129 - 11121), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + '\060' + chr(0b11000 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(1638 - 1590) + chr(6308 - 6197) + chr(0b110010) + chr(0b11110 + 0o22) + chr(0b1001 + 0o47), 34027 - 34019), ehT0Px3KOsy9(chr(0b110000) + chr(0b111101 + 0o62) + chr(0b110011) + chr(0b110001) + chr(1734 - 1685), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + chr(0b110001) + '\x35' + chr(351 - 301), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(49) + chr(0b101000 + 0o12), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + chr(0b110011) + chr(48) + chr(0b111 + 0o53), 0o10), ehT0Px3KOsy9(chr(1522 - 1474) + chr(0b1101111) + chr(587 - 538) + '\060' + chr(2219 - 2167), 40878 - 40870), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(386 - 336) + '\064', 0o10), ehT0Px3KOsy9(chr(1815 - 1767) + chr(0b1011110 + 0o21) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(2222 - 2174) + '\157' + chr(1666 - 1616) + chr(0b0 + 0o66) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11000 + 0o31) + '\x37' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9700 - 9589) + '\x32' + chr(0b100010 + 0o16) + chr(54), 52916 - 52908), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11101 + 0o25) + chr(0b110011) + chr(0b100000 + 0o23), 0o10), ehT0Px3KOsy9(chr(1921 - 1873) + '\157' + chr(50) + '\060' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10 + 0o57) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(8079 - 7968) + chr(0b110010) + '\x35' + chr(50), 7130 - 7122), ehT0Px3KOsy9('\x30' + chr(0b11010 + 0o125) + chr(50) + '\065' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b10 + 0o65) + '\x36', 64655 - 64647), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(0b110010) + chr(959 - 904) + '\x31', 0b1000), ehT0Px3KOsy9(chr(498 - 450) + '\x6f' + chr(0b110011) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b111111 + 0o60) + chr(0b10111 + 0o34) + chr(619 - 569) + chr(0b100011 + 0o16), 26396 - 26388), ehT0Px3KOsy9(chr(1108 - 1060) + chr(0b1101111) + '\x32' + chr(1134 - 1079) + chr(55), 12434 - 12426), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b110110) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(543 - 495) + '\x6f' + chr(1650 - 1596) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b110100) + chr(0b110111), 37983 - 37975), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101000 + 0o11) + chr(0b111 + 0o54) + '\067', 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(51) + chr(909 - 856) + chr(2358 - 2304), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1010010 + 0o35) + chr(0b110001) + chr(0b110101 + 0o0) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(176 - 125) + '\063' + '\x30', 58532 - 58524), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(0b110010) + '\x36' + '\x30', 8), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(768 - 657) + chr(49) + '\064' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11454 - 11343) + chr(0b101100 + 0o6) + '\x34' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101101 + 0o4) + '\063' + '\064', 35312 - 35304), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(2931 - 2820) + chr(50) + chr(55) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10001 + 0o136) + chr(1664 - 1615) + chr(0b10000 + 0o46) + chr(0b101101 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + chr(55) + chr(0b110011), 4244 - 4236), ehT0Px3KOsy9(chr(0b110000) + chr(1758 - 1647) + chr(0b110010) + chr(0b101100 + 0o12) + chr(0b100011 + 0o24), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(2531 - 2480) + chr(1025 - 974) + chr(0b110011 + 0o2), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(85 - 37) + '\x6f' + chr(1409 - 1356) + '\x30', 3977 - 3969)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\r'), chr(100) + '\x65' + '\x63' + chr(111) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(116) + chr(10358 - 10256) + chr(45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def KMfBkqLPXLNe(pci1T9SDshKa, OVXzvB9BcGF_, Jz3111tD_9m4):
SqiSOtYOqOJH = AprVeX4hDDvZ(pci1T9SDshKa, OVXzvB9BcGF_)
yGt1PN0KO3VY = IDJ2eXGCBCDu.gradients(ys=[SqiSOtYOqOJH], xs=[pci1T9SDshKa, OVXzvB9BcGF_], grad_ys=[Jz3111tD_9m4])
return yGt1PN0KO3VY
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
shakeshake2_indiv_grad
|
def shakeshake2_indiv_grad(x1, x2, dy):
"""Overriding gradient for shake-shake of 2 tensors."""
y = shakeshake2_py(x1, x2, individual=True)
dx = tf.gradients(ys=[y], xs=[x1, x2], grad_ys=[dy])
return dx
|
python
|
def shakeshake2_indiv_grad(x1, x2, dy):
"""Overriding gradient for shake-shake of 2 tensors."""
y = shakeshake2_py(x1, x2, individual=True)
dx = tf.gradients(ys=[y], xs=[x1, x2], grad_ys=[dy])
return dx
|
[
"def",
"shakeshake2_indiv_grad",
"(",
"x1",
",",
"x2",
",",
"dy",
")",
":",
"y",
"=",
"shakeshake2_py",
"(",
"x1",
",",
"x2",
",",
"individual",
"=",
"True",
")",
"dx",
"=",
"tf",
".",
"gradients",
"(",
"ys",
"=",
"[",
"y",
"]",
",",
"xs",
"=",
"[",
"x1",
",",
"x2",
"]",
",",
"grad_ys",
"=",
"[",
"dy",
"]",
")",
"return",
"dx"
] |
Overriding gradient for shake-shake of 2 tensors.
|
[
"Overriding",
"gradient",
"for",
"shake",
"-",
"shake",
"of",
"2",
"tensors",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L198-L202
|
train
|
Overriding gradient for shake - shake of 2 tensors.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b100100 + 0o20) + chr(0b101 + 0o56), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10000 + 0o42) + '\x33' + chr(0b1000 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\064' + chr(2190 - 2139), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(1634 - 1585) + '\060' + chr(51), 37739 - 37731), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + chr(0b11111 + 0o24) + chr(0b101100 + 0o6) + chr(0b100110 + 0o17), 0b1000), ehT0Px3KOsy9(chr(1333 - 1285) + chr(0b101011 + 0o104) + '\062' + chr(48) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011000 + 0o27) + chr(688 - 639) + chr(0b110011) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b110001), 60105 - 60097), ehT0Px3KOsy9(chr(326 - 278) + '\x6f' + chr(50) + chr(50) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(2248 - 2200) + chr(0b111100 + 0o63) + '\x36' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\x36' + '\x30', 52411 - 52403), ehT0Px3KOsy9(chr(579 - 531) + chr(0b1101111) + chr(0b110010) + chr(0b110000) + '\x36', 0o10), ehT0Px3KOsy9(chr(641 - 593) + chr(0b1101111) + chr(809 - 758) + chr(0b101 + 0o56) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(995 - 947) + chr(5943 - 5832) + chr(217 - 168) + chr(0b110101) + chr(0b1100 + 0o46), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(54) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b111 + 0o52) + chr(0b110110) + chr(51), 0b1000), ehT0Px3KOsy9(chr(479 - 431) + '\157' + '\062' + chr(2047 - 1996) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(48) + chr(0b101111 + 0o6), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10001 + 0o41) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101100 + 0o3) + '\x34' + chr(51), 0b1000), ehT0Px3KOsy9(chr(1014 - 966) + chr(8741 - 8630) + chr(405 - 356) + chr(0b100010 + 0o21) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000010 + 0o55) + '\x32' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111010 + 0o65) + chr(0b110110) + chr(2240 - 2192), 2372 - 2364), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(2002 - 1948) + chr(2843 - 2788), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\066' + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(0b110111 + 0o70) + '\062' + '\063' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(2013 - 1962), 0b1000), ehT0Px3KOsy9(chr(48) + chr(1901 - 1790) + chr(2467 - 2417) + chr(0b110111) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1225 - 1176) + chr(0b101100 + 0o10), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(48) + chr(2713 - 2660), 8), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1001101 + 0o42) + chr(889 - 838) + chr(0b100100 + 0o14) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(2105 - 2057) + chr(2474 - 2363) + '\062' + chr(0b110001) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(273 - 224) + chr(0b110001) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(1994 - 1940) + chr(2335 - 2284), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b1110 + 0o45) + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\x32' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101101 + 0o2) + '\061' + '\066' + '\x36', 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + '\063' + '\x30' + chr(54), 50815 - 50807), ehT0Px3KOsy9(chr(240 - 192) + chr(8245 - 8134) + chr(0b110011) + chr(0b110111) + chr(0b110000 + 0o2), 0o10), ehT0Px3KOsy9(chr(1763 - 1715) + chr(0b110011 + 0o74) + chr(55), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + '\065' + chr(0b111 + 0o51), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd'), chr(0b1100100) + chr(0b100100 + 0o101) + chr(1783 - 1684) + chr(0b1101111) + chr(9047 - 8947) + chr(0b100 + 0o141))(chr(0b111 + 0o156) + '\x74' + chr(102) + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def K9O38yr8wPRs(pci1T9SDshKa, OVXzvB9BcGF_, Jz3111tD_9m4):
SqiSOtYOqOJH = AprVeX4hDDvZ(pci1T9SDshKa, OVXzvB9BcGF_, individual=ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b11001 + 0o126) + '\061', 0o10))
yGt1PN0KO3VY = IDJ2eXGCBCDu.gradients(ys=[SqiSOtYOqOJH], xs=[pci1T9SDshKa, OVXzvB9BcGF_], grad_ys=[Jz3111tD_9m4])
return yGt1PN0KO3VY
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
shakeshake2_equal_grad
|
def shakeshake2_equal_grad(x1, x2, dy):
"""Overriding gradient for shake-shake of 2 tensors."""
y = shakeshake2_py(x1, x2, equal=True)
dx = tf.gradients(ys=[y], xs=[x1, x2], grad_ys=[dy])
return dx
|
python
|
def shakeshake2_equal_grad(x1, x2, dy):
"""Overriding gradient for shake-shake of 2 tensors."""
y = shakeshake2_py(x1, x2, equal=True)
dx = tf.gradients(ys=[y], xs=[x1, x2], grad_ys=[dy])
return dx
|
[
"def",
"shakeshake2_equal_grad",
"(",
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",",
"x2",
",",
"dy",
")",
":",
"y",
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"shakeshake2_py",
"(",
"x1",
",",
"x2",
",",
"equal",
"=",
"True",
")",
"dx",
"=",
"tf",
".",
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"(",
"ys",
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"[",
"y",
"]",
",",
"xs",
"=",
"[",
"x1",
",",
"x2",
"]",
",",
"grad_ys",
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"[",
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"]",
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"return",
"dx"
] |
Overriding gradient for shake-shake of 2 tensors.
|
[
"Overriding",
"gradient",
"for",
"shake",
"-",
"shake",
"of",
"2",
"tensors",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L206-L210
|
train
|
Overriding gradient for shake - shake of 2 tensors.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + '\x31' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(564 - 513) + '\x35', 52230 - 52222), ehT0Px3KOsy9(chr(1743 - 1695) + chr(5781 - 5670) + '\x32' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + '\061' + chr(902 - 854) + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(8321 - 8210) + chr(50) + chr(49) + '\063', 8), ehT0Px3KOsy9(chr(1254 - 1206) + '\x6f' + '\063' + '\x32' + chr(0b110 + 0o54), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(1511 - 1400) + chr(1002 - 951) + chr(0b100 + 0o60) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10 + 0o60) + chr(1716 - 1668) + chr(0b101000 + 0o14), 0b1000), ehT0Px3KOsy9(chr(48) + chr(4357 - 4246) + chr(0b101 + 0o60) + chr(117 - 65), 0b1000), ehT0Px3KOsy9('\060' + chr(10090 - 9979) + chr(0b110010) + chr(2704 - 2651) + chr(1984 - 1935), 39577 - 39569), ehT0Px3KOsy9('\x30' + chr(10310 - 10199) + '\x32' + '\x30' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + '\x31' + '\x36', 26073 - 26065), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1011 + 0o50) + '\x30' + '\064', 11014 - 11006), ehT0Px3KOsy9(chr(1177 - 1129) + chr(0b1101111) + chr(54) + chr(1643 - 1591), 0o10), ehT0Px3KOsy9(chr(48) + chr(5535 - 5424) + '\x34' + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(10664 - 10553) + chr(2111 - 2062) + chr(0b110001 + 0o1) + chr(0b100111 + 0o17), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101010 + 0o10) + chr(0b110101) + chr(2136 - 2083), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\067' + chr(579 - 526), 33030 - 33022), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(2016 - 1963) + chr(0b101010 + 0o12), 11199 - 11191), ehT0Px3KOsy9(chr(48) + chr(2922 - 2811) + '\061' + chr(0b101011 + 0o14) + chr(1202 - 1150), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(2489 - 2438) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + chr(3940 - 3829) + '\061' + chr(131 - 76) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101010 + 0o105) + '\x32' + chr(0b10000 + 0o44), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(2343 - 2293) + chr(0b110001) + chr(0b1000 + 0o53), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(0b110 + 0o52) + '\067', 44070 - 44062), ehT0Px3KOsy9(chr(1064 - 1016) + chr(0b110000 + 0o77) + '\064' + chr(1786 - 1732), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011100 + 0o23) + chr(0b110010) + chr(55), 28978 - 28970), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b11001 + 0o126) + chr(49) + chr(1256 - 1207) + chr(2267 - 2217), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\x35' + chr(0b101110 + 0o2), 36060 - 36052), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(11440 - 11329) + '\x32' + chr(55) + chr(2174 - 2126), 19811 - 19803), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000111 + 0o50) + chr(0b110011) + '\x33' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(10251 - 10140) + chr(721 - 670) + chr(1464 - 1416) + chr(0b11111 + 0o25), 8), ehT0Px3KOsy9(chr(1547 - 1499) + chr(2762 - 2651) + '\x33' + chr(0b110 + 0o53) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + '\x32' + chr(0b1111 + 0o47) + chr(0b110110), 23843 - 23835), ehT0Px3KOsy9(chr(1391 - 1343) + '\x6f' + chr(0b110011) + '\x32' + chr(50), 8), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1010100 + 0o33) + chr(0b10101 + 0o34) + chr(0b11101 + 0o24) + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + '\061' + chr(50), 0o10), ehT0Px3KOsy9('\x30' + chr(10229 - 10118) + '\x33' + chr(0b110110) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + chr(1008 - 957) + '\x35' + chr(193 - 140), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(9691 - 9580) + chr(53) + chr(0b1110 + 0o42), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5'), chr(100) + chr(101) + chr(0b1100011) + '\157' + chr(0b1010100 + 0o20) + chr(0b1100101))('\x75' + chr(116) + chr(298 - 196) + '\055' + chr(1927 - 1871)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def qhUhqbfLVGUa(pci1T9SDshKa, OVXzvB9BcGF_, Jz3111tD_9m4):
SqiSOtYOqOJH = AprVeX4hDDvZ(pci1T9SDshKa, OVXzvB9BcGF_, equal=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001), ord("\x08")))
yGt1PN0KO3VY = IDJ2eXGCBCDu.gradients(ys=[SqiSOtYOqOJH], xs=[pci1T9SDshKa, OVXzvB9BcGF_], grad_ys=[Jz3111tD_9m4])
return yGt1PN0KO3VY
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
shakeshake
|
def shakeshake(xs, equal_grad=False):
"""Multi-argument shake-shake, currently approximated by sums of 2."""
if len(xs) == 1:
return xs[0]
div = (len(xs) + 1) // 2
arg1 = shakeshake(xs[:div], equal_grad=equal_grad)
arg2 = shakeshake(xs[div:], equal_grad=equal_grad)
if equal_grad:
return shakeshake2_eqgrad(arg1, arg2)
return shakeshake2(arg1, arg2)
|
python
|
def shakeshake(xs, equal_grad=False):
"""Multi-argument shake-shake, currently approximated by sums of 2."""
if len(xs) == 1:
return xs[0]
div = (len(xs) + 1) // 2
arg1 = shakeshake(xs[:div], equal_grad=equal_grad)
arg2 = shakeshake(xs[div:], equal_grad=equal_grad)
if equal_grad:
return shakeshake2_eqgrad(arg1, arg2)
return shakeshake2(arg1, arg2)
|
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"=",
"shakeshake",
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",",
"arg2",
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"return",
"shakeshake2",
"(",
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",",
"arg2",
")"
] |
Multi-argument shake-shake, currently approximated by sums of 2.
|
[
"Multi",
"-",
"argument",
"shake",
"-",
"shake",
"currently",
"approximated",
"by",
"sums",
"of",
"2",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L230-L239
|
train
|
Multi - argument shake - shake - shake.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\157' + chr(1064 - 1015) + chr(0b10000 + 0o43) + chr(0b101010 + 0o14), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(54) + chr(48), 54818 - 54810), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(55) + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(0b100001 + 0o21) + chr(1674 - 1619), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(52) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(251 - 200) + '\x34' + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(0b110100) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101011 + 0o4) + '\061' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1888 - 1840) + chr(2068 - 1957) + '\x37' + chr(0b101111 + 0o7), 24713 - 24705), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + '\062' + '\062' + chr(1293 - 1241), 39811 - 39803), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100101 + 0o12) + chr(50) + chr(0b1100 + 0o50), 13427 - 13419), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x35' + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(10901 - 10790) + '\x33' + chr(598 - 549) + '\061', 15408 - 15400), ehT0Px3KOsy9(chr(1995 - 1947) + chr(0b1101111) + chr(0b110011) + '\064' + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011101 + 0o22) + chr(0b110001) + '\061' + chr(0b110101), 9285 - 9277), ehT0Px3KOsy9('\060' + chr(111) + chr(528 - 477) + chr(1776 - 1724) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x36' + chr(0b11010 + 0o31), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101011 + 0o4) + chr(0b100011 + 0o21) + chr(572 - 520), ord("\x08")), ehT0Px3KOsy9(chr(863 - 815) + chr(11186 - 11075) + '\x31' + chr(55) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001110 + 0o41) + '\062' + '\065' + '\x35', 12662 - 12654), ehT0Px3KOsy9('\060' + chr(0b110000 + 0o77) + chr(0b1000 + 0o52) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001010 + 0o45) + '\x31' + '\x37' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010111 + 0o30) + chr(1912 - 1863) + chr(0b110000) + chr(0b110001), 65481 - 65473), ehT0Px3KOsy9('\x30' + chr(0b1100011 + 0o14) + '\x35' + chr(52), 4877 - 4869), ehT0Px3KOsy9(chr(1942 - 1894) + chr(0b110010 + 0o75) + '\x32' + '\x33' + chr(739 - 686), 8137 - 8129), ehT0Px3KOsy9('\060' + chr(111) + chr(0b0 + 0o62) + chr(0b110100) + '\061', 0o10), ehT0Px3KOsy9(chr(1487 - 1439) + '\157' + chr(1208 - 1159) + chr(0b110011) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b101100 + 0o5) + chr(106 - 56), 0b1000), ehT0Px3KOsy9(chr(48) + chr(10895 - 10784) + chr(1771 - 1720) + chr(148 - 93) + '\060', 0o10), ehT0Px3KOsy9(chr(262 - 214) + '\x6f' + chr(0b110010) + '\x33' + '\x37', 27662 - 27654), ehT0Px3KOsy9('\x30' + chr(111) + chr(1405 - 1355) + chr(0b1101 + 0o52) + chr(406 - 358), 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + chr(0b110110) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(6071 - 5960) + chr(0b100110 + 0o20) + chr(0b10 + 0o63), 15784 - 15776), ehT0Px3KOsy9(chr(48) + chr(0b10111 + 0o130) + chr(1515 - 1466) + '\x35' + chr(50), 25866 - 25858), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(0b110001 + 0o1) + chr(350 - 299) + '\064', 61093 - 61085), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(53) + chr(103 - 51), 8434 - 8426), ehT0Px3KOsy9(chr(650 - 602) + chr(111) + chr(0b101110 + 0o4) + chr(0b110101) + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b110100) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10001 + 0o40) + chr(0b110111) + chr(0b110111), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(10371 - 10260) + chr(0b100101 + 0o20) + chr(1712 - 1664), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'p'), '\x64' + chr(3704 - 3603) + chr(4133 - 4034) + chr(6697 - 6586) + chr(8580 - 8480) + '\x65')(chr(0b10010 + 0o143) + '\x74' + chr(0b1000110 + 0o40) + '\x2d' + chr(0b11 + 0o65)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def aqfPS0sLkcmW(f0GvdYMiCwc9, eYWU25ok3bL9=ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x30', 8)):
if c2A0yzQpDQB3(f0GvdYMiCwc9) == ehT0Px3KOsy9('\x30' + chr(0b1100111 + 0o10) + '\061', 0o10):
return f0GvdYMiCwc9[ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x30', 8)]
p1pXKHunIvAY = (c2A0yzQpDQB3(f0GvdYMiCwc9) + ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1043 - 994), 8)) // ehT0Px3KOsy9(chr(305 - 257) + chr(9773 - 9662) + chr(0b110010), ord("\x08"))
FnY8vW1IiyNe = aqfPS0sLkcmW(f0GvdYMiCwc9[:p1pXKHunIvAY], equal_grad=eYWU25ok3bL9)
neJFMtHtNq4v = aqfPS0sLkcmW(f0GvdYMiCwc9[p1pXKHunIvAY:], equal_grad=eYWU25ok3bL9)
if eYWU25ok3bL9:
return lNKACMeGx2a5(FnY8vW1IiyNe, neJFMtHtNq4v)
return Ozwr0Q3MJL8M(FnY8vW1IiyNe, neJFMtHtNq4v)
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
convert_rgb_to_real
|
def convert_rgb_to_real(x):
"""Conversion of pixel values to real numbers."""
with tf.name_scope("rgb_to_real", values=[x]):
x = to_float(x)
x /= 255.0
return x
|
python
|
def convert_rgb_to_real(x):
"""Conversion of pixel values to real numbers."""
with tf.name_scope("rgb_to_real", values=[x]):
x = to_float(x)
x /= 255.0
return x
|
[
"def",
"convert_rgb_to_real",
"(",
"x",
")",
":",
"with",
"tf",
".",
"name_scope",
"(",
"\"rgb_to_real\"",
",",
"values",
"=",
"[",
"x",
"]",
")",
":",
"x",
"=",
"to_float",
"(",
"x",
")",
"x",
"/=",
"255.0",
"return",
"x"
] |
Conversion of pixel values to real numbers.
|
[
"Conversion",
"of",
"pixel",
"values",
"to",
"real",
"numbers",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L242-L247
|
train
|
Conversion of pixel values to real numbers.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1011101 + 0o22) + '\x32' + chr(481 - 427) + chr(0b110100), 27941 - 27933), ehT0Px3KOsy9(chr(48) + chr(11869 - 11758) + chr(818 - 769) + chr(1087 - 1038) + '\063', 16657 - 16649), ehT0Px3KOsy9(chr(677 - 629) + '\157' + chr(0b10100 + 0o37) + chr(0b110010) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(2017 - 1969) + '\157' + chr(0b110011) + chr(0b110001) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + '\x37' + chr(0b10010 + 0o36), 29720 - 29712), ehT0Px3KOsy9(chr(2136 - 2088) + chr(0b1010110 + 0o31) + '\x36' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b111111 + 0o60) + chr(0b110010) + chr(241 - 190) + chr(1365 - 1317), 46892 - 46884), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(3629 - 3518) + '\x36' + chr(1792 - 1741), 0b1000), ehT0Px3KOsy9('\x30' + chr(6035 - 5924) + chr(52) + chr(0b11001 + 0o35), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2320 - 2271) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b110111) + chr(0b10000 + 0o44), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101000 + 0o7) + chr(1742 - 1687) + chr(0b1010 + 0o50), 64179 - 64171), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b11110 + 0o121) + '\x31' + '\x30' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100010 + 0o115) + chr(0b10011 + 0o40) + chr(49) + chr(0b11111 + 0o25), 17155 - 17147), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(4581 - 4470) + chr(0b100001 + 0o21) + chr(2095 - 2045) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\x34', 51455 - 51447), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11011 + 0o30) + chr(50) + chr(54), 22673 - 22665), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(142 - 88) + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(9048 - 8937) + chr(0b110001) + chr(2357 - 2302) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + chr(0b1101 + 0o46) + chr(52) + chr(0b1110 + 0o42), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(141 - 91) + chr(0b110010 + 0o5) + chr(0b110000), 8), ehT0Px3KOsy9(chr(447 - 399) + chr(0b1101111) + chr(2360 - 2309) + chr(53) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11 + 0o57) + chr(55) + chr(0b100011 + 0o15), 8), ehT0Px3KOsy9('\060' + chr(11403 - 11292) + chr(0b101100 + 0o6) + '\060' + chr(48), 0b1000), ehT0Px3KOsy9(chr(960 - 912) + '\157' + '\061' + chr(55) + '\x33', 8), ehT0Px3KOsy9(chr(48) + chr(7786 - 7675) + '\061', 44367 - 44359), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(4563 - 4452) + chr(0b110110) + '\x35', 8), ehT0Px3KOsy9(chr(64 - 16) + chr(0b1101111) + chr(0b1000 + 0o57) + chr(50), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(178 - 128) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1549 - 1500) + chr(2219 - 2171) + chr(54), 53681 - 53673), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11001 + 0o30) + '\x32' + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(599 - 551) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001), 8), ehT0Px3KOsy9(chr(1445 - 1397) + chr(4799 - 4688) + chr(49) + chr(1876 - 1823) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + '\065' + chr(1065 - 1012), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1106 - 1057) + chr(0b101111 + 0o10) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101110 + 0o101) + chr(0b110011) + chr(2258 - 2207) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(1931 - 1883) + chr(111) + chr(50) + chr(0b110111) + chr(1083 - 1031), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2374 - 2321) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a'), chr(0b1100100) + chr(0b111111 + 0o46) + chr(6918 - 6819) + chr(0b1101111) + '\x64' + chr(0b1100101))('\x75' + '\164' + '\146' + chr(0b100011 + 0o12) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def vPvjvy22ItpS(OeWW0F1dBPRQ):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xda*\xba\xae\xe7D\xfb\\Vh'), chr(0b110111 + 0o55) + chr(0b1001000 + 0o35) + chr(0b1000110 + 0o35) + chr(0b1011 + 0o144) + '\144' + chr(101))(chr(0b110010 + 0o103) + '\x74' + '\146' + chr(2007 - 1962) + chr(2650 - 2594)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6,\xb5\x94\xccX\xc7ACl\x90'), '\144' + '\x65' + chr(5957 - 5858) + chr(111) + chr(0b111111 + 0o45) + chr(0b1100101))(chr(10466 - 10349) + chr(0b110 + 0o156) + chr(8067 - 7965) + chr(45) + chr(0b111000)), values=[OeWW0F1dBPRQ]):
OeWW0F1dBPRQ = ZUL3kHBGU8Uu(OeWW0F1dBPRQ)
OeWW0F1dBPRQ /= 255.0
return OeWW0F1dBPRQ
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
convert_rgb_to_symmetric_real
|
def convert_rgb_to_symmetric_real(x):
"""Conversion of pixel values to real numbers."""
with tf.name_scope("rgb_to_real", values=[x]):
x = to_float(x)
# Convert each pixel intensity in [0, 1, 2, ..., 255] into a real number in
# the range [-1, 1].
x = (x / 127.5) - 1
return x
|
python
|
def convert_rgb_to_symmetric_real(x):
"""Conversion of pixel values to real numbers."""
with tf.name_scope("rgb_to_real", values=[x]):
x = to_float(x)
# Convert each pixel intensity in [0, 1, 2, ..., 255] into a real number in
# the range [-1, 1].
x = (x / 127.5) - 1
return x
|
[
"def",
"convert_rgb_to_symmetric_real",
"(",
"x",
")",
":",
"with",
"tf",
".",
"name_scope",
"(",
"\"rgb_to_real\"",
",",
"values",
"=",
"[",
"x",
"]",
")",
":",
"x",
"=",
"to_float",
"(",
"x",
")",
"# Convert each pixel intensity in [0, 1, 2, ..., 255] into a real number in",
"# the range [-1, 1].",
"x",
"=",
"(",
"x",
"/",
"127.5",
")",
"-",
"1",
"return",
"x"
] |
Conversion of pixel values to real numbers.
|
[
"Conversion",
"of",
"pixel",
"values",
"to",
"real",
"numbers",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L250-L257
|
train
|
Convert RGB values to real numbers.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(54) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(911 - 860) + chr(0b101001 + 0o12) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(2212 - 2164) + chr(12081 - 11970) + chr(0b101110 + 0o4) + chr(0b110100) + chr(1194 - 1145), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1010110 + 0o31) + '\062' + chr(0b101100 + 0o5) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + '\062' + chr(50), 27676 - 27668), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b110011) + '\060', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(2461 - 2410) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(204 - 153) + '\x37' + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101010 + 0o11) + chr(400 - 345) + chr(0b10000 + 0o45), 44976 - 44968), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\066' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + '\x33' + chr(0b110000) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1120 - 1009) + '\x32' + chr(50) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b111 + 0o53) + chr(51) + chr(0b101110 + 0o10), 5470 - 5462), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1986 - 1935) + chr(0b10000 + 0o42) + chr(0b11100 + 0o32), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1100 + 0o45) + chr(1729 - 1678) + chr(0b11011 + 0o32), ord("\x08")), ehT0Px3KOsy9('\060' + chr(8988 - 8877) + '\063' + chr(0b110111) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(5256 - 5145) + chr(50) + chr(0b110000) + chr(617 - 568), ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b101011 + 0o104) + chr(2355 - 2305) + '\x36' + '\x35', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(51), 32272 - 32264), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000101 + 0o52) + chr(49) + chr(1991 - 1937) + '\063', 21031 - 21023), ehT0Px3KOsy9(chr(0b110000) + chr(7131 - 7020) + chr(2208 - 2159) + chr(0b110101) + chr(48), 1524 - 1516), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(48) + chr(0b10111 + 0o31), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\x32' + chr(2757 - 2704), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(0b11111 + 0o30) + chr(0b101101 + 0o4), 0o10), ehT0Px3KOsy9(chr(951 - 903) + chr(4470 - 4359) + chr(0b110001) + '\066' + chr(0b1 + 0o57), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(953 - 900) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1010 + 0o50) + '\x30' + '\x31', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000011 + 0o54) + chr(0b100110 + 0o14) + '\065' + '\060', 30902 - 30894), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2320 - 2269) + '\x37' + chr(0b10011 + 0o40), 0b1000), ehT0Px3KOsy9(chr(48) + chr(9697 - 9586) + '\065' + '\063', 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + '\x34' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(7173 - 7062) + '\060', 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1100111 + 0o10) + chr(644 - 594) + '\066' + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10100 + 0o133) + chr(186 - 137) + '\060' + chr(448 - 396), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(0b110110) + chr(2404 - 2353), 8), ehT0Px3KOsy9(chr(485 - 437) + chr(6079 - 5968) + chr(344 - 293) + chr(1074 - 1024) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110100) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b111 + 0o52) + '\063', 29408 - 29400), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1190 - 1140) + chr(0b110010), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(2222 - 2169) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x19'), '\x64' + '\x65' + chr(0b1100011) + '\x6f' + chr(0b1000010 + 0o42) + chr(8453 - 8352))(chr(117) + '\164' + chr(0b1100110) + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Frzb27ocYoFw(OeWW0F1dBPRQ):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'Y\xb9\xcc\xe8M\xab:\x96\x8dW'), '\144' + chr(0b1011001 + 0o14) + chr(0b111100 + 0o47) + '\x6f' + '\144' + chr(0b0 + 0o145))('\165' + chr(116) + chr(102) + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'E\xbf\xc3\xd2f\xb7\x06\x8b\x98S\xa9'), chr(4783 - 4683) + chr(0b1100 + 0o131) + '\x63' + chr(0b1001000 + 0o47) + chr(0b101000 + 0o74) + '\x65')('\165' + '\x74' + '\146' + '\055' + '\070'), values=[OeWW0F1dBPRQ]):
OeWW0F1dBPRQ = ZUL3kHBGU8Uu(OeWW0F1dBPRQ)
OeWW0F1dBPRQ = OeWW0F1dBPRQ / 127.5 - ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(49), 0o10)
return OeWW0F1dBPRQ
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
expand_squeeze_to_nd
|
def expand_squeeze_to_nd(x, n, squeeze_dim=2, expand_dim=-1):
"""Make x n-d with squeeze and expand_dims."""
if len(x.shape) > n:
while len(x.shape) != n:
x = tf.squeeze(x, [squeeze_dim])
else:
while len(x.shape) != n:
x = tf.expand_dims(x, expand_dim)
return x
|
python
|
def expand_squeeze_to_nd(x, n, squeeze_dim=2, expand_dim=-1):
"""Make x n-d with squeeze and expand_dims."""
if len(x.shape) > n:
while len(x.shape) != n:
x = tf.squeeze(x, [squeeze_dim])
else:
while len(x.shape) != n:
x = tf.expand_dims(x, expand_dim)
return x
|
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] |
Make x n-d with squeeze and expand_dims.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L267-L275
|
train
|
Make x n - d with squeeze and expand_dims.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + '\x33' + '\061' + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b1110 + 0o50), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11001 + 0o32) + chr(0b110000) + chr(2412 - 2362), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(322 - 273) + chr(0b11010 + 0o27) + '\x35', 1430 - 1422), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\063' + '\064', 55218 - 55210), ehT0Px3KOsy9(chr(1055 - 1007) + chr(0b1001000 + 0o47) + chr(693 - 643) + '\x31' + chr(1864 - 1814), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(701 - 650) + '\x35', 0b1000), ehT0Px3KOsy9(chr(2168 - 2120) + chr(9816 - 9705) + chr(2584 - 2529) + '\062', 0b1000), ehT0Px3KOsy9(chr(2132 - 2084) + chr(111) + '\062' + '\x30' + chr(1943 - 1895), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(0b11000 + 0o32) + chr(52) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b110011 + 0o4) + chr(1550 - 1496), 1518 - 1510), ehT0Px3KOsy9('\x30' + chr(0b1101011 + 0o4) + chr(50) + chr(2234 - 2180) + chr(197 - 148), 6599 - 6591), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b110 + 0o56) + '\067', 14346 - 14338), ehT0Px3KOsy9(chr(1084 - 1036) + chr(11027 - 10916) + '\061' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(1281 - 1233) + '\157' + '\x37' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\x36' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + '\061' + chr(0b10111 + 0o31) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111010 + 0o65) + '\063' + '\064' + chr(0b110111), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\060' + '\065', 18655 - 18647), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b110011 + 0o0) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(329 - 281) + chr(111) + '\062' + '\x32' + chr(51), 0b1000), ehT0Px3KOsy9(chr(509 - 461) + chr(0b1101111) + chr(2132 - 2082) + chr(2732 - 2678) + '\065', 59912 - 59904), ehT0Px3KOsy9(chr(1394 - 1346) + chr(0b10101 + 0o132) + '\x32' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b110110) + chr(2176 - 2128), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\x34' + '\066', 49368 - 49360), ehT0Px3KOsy9('\x30' + chr(0b110011 + 0o74) + chr(0b110011) + '\x31' + chr(0b11100 + 0o33), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(1379 - 1330) + chr(2354 - 2305), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011100 + 0o23) + '\x31' + '\067' + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(999 - 888) + chr(0b110001) + chr(1920 - 1866) + chr(48), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2158 - 2108) + chr(148 - 94) + chr(0b11000 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100110 + 0o11) + '\x33' + '\062' + chr(1718 - 1669), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10010 + 0o135) + chr(1545 - 1495) + '\060' + chr(1167 - 1115), 0o10), ehT0Px3KOsy9(chr(1131 - 1083) + chr(0b1100100 + 0o13) + chr(0b110010) + '\063' + '\062', 27575 - 27567), ehT0Px3KOsy9(chr(881 - 833) + chr(4562 - 4451) + '\067', 0o10), ehT0Px3KOsy9(chr(1323 - 1275) + chr(111) + chr(0b110010) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1010111 + 0o30) + chr(0b110001) + '\063' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\x36' + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(938 - 827) + '\x33' + chr(0b1111 + 0o46), 8), ehT0Px3KOsy9('\x30' + chr(8037 - 7926) + chr(2551 - 2497) + chr(49), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2807 - 2754) + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4'), chr(0b1100100) + chr(0b1100101) + chr(6277 - 6178) + '\157' + chr(5171 - 5071) + chr(101))(chr(117) + chr(116) + '\146' + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def IEe3bh_lSKNc(OeWW0F1dBPRQ, m1NkCryOw9Bx, Tqw_XqIMYuGs=ehT0Px3KOsy9(chr(48) + chr(111) + chr(50), 0b1000), avWIRFRlMVC9=-ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(4963 - 4852) + '\061', ord("\x08"))):
if c2A0yzQpDQB3(xafqLlk3kkUe(OeWW0F1dBPRQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4\x7f\xb7\x14\xfa\xc6zV\xd4\xd1\x9d\xd3'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(117) + chr(9580 - 9464) + chr(0b1001001 + 0o35) + chr(45) + chr(56)))) > m1NkCryOw9Bx:
while c2A0yzQpDQB3(xafqLlk3kkUe(OeWW0F1dBPRQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4\x7f\xb7\x14\xfa\xc6zV\xd4\xd1\x9d\xd3'), '\144' + chr(201 - 100) + '\143' + '\157' + chr(7535 - 7435) + '\x65')('\x75' + chr(116) + chr(0b1100110) + chr(954 - 909) + chr(56)))) != m1NkCryOw9Bx:
OeWW0F1dBPRQ = IDJ2eXGCBCDu.squeeze(OeWW0F1dBPRQ, [Tqw_XqIMYuGs])
else:
while c2A0yzQpDQB3(xafqLlk3kkUe(OeWW0F1dBPRQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4\x7f\xb7\x14\xfa\xc6zV\xd4\xd1\x9d\xd3'), chr(0b10111 + 0o115) + '\x65' + chr(2466 - 2367) + chr(111) + chr(0b100 + 0o140) + chr(8451 - 8350))('\165' + chr(11726 - 11610) + chr(4031 - 3929) + chr(283 - 238) + chr(56)))) != m1NkCryOw9Bx:
OeWW0F1dBPRQ = IDJ2eXGCBCDu.expand_dims(OeWW0F1dBPRQ, avWIRFRlMVC9)
return OeWW0F1dBPRQ
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
standardize_images
|
def standardize_images(x):
"""Image standardization on batches and videos."""
with tf.name_scope("standardize_images", values=[x]):
x_shape = shape_list(x)
x = to_float(tf.reshape(x, [-1] + x_shape[-3:]))
x_mean = tf.reduce_mean(x, axis=[1, 2], keepdims=True)
x_variance = tf.reduce_mean(
tf.squared_difference(x, x_mean), axis=[1, 2], keepdims=True)
num_pixels = to_float(x_shape[-2] * x_shape[-3])
x = (x - x_mean) / tf.maximum(tf.sqrt(x_variance), tf.rsqrt(num_pixels))
return tf.reshape(x, x_shape)
|
python
|
def standardize_images(x):
"""Image standardization on batches and videos."""
with tf.name_scope("standardize_images", values=[x]):
x_shape = shape_list(x)
x = to_float(tf.reshape(x, [-1] + x_shape[-3:]))
x_mean = tf.reduce_mean(x, axis=[1, 2], keepdims=True)
x_variance = tf.reduce_mean(
tf.squared_difference(x, x_mean), axis=[1, 2], keepdims=True)
num_pixels = to_float(x_shape[-2] * x_shape[-3])
x = (x - x_mean) / tf.maximum(tf.sqrt(x_variance), tf.rsqrt(num_pixels))
return tf.reshape(x, x_shape)
|
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] |
Image standardization on batches and videos.
|
[
"Image",
"standardization",
"on",
"batches",
"and",
"videos",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L278-L288
|
train
|
Image standardization on batches and videos.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1011001 + 0o26) + chr(0b110001) + chr(1375 - 1327) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b110110 + 0o71) + '\x31' + chr(2073 - 2018) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(533 - 478) + '\062', 8), ehT0Px3KOsy9(chr(1449 - 1401) + chr(111) + chr(0b100 + 0o55) + '\067' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b0 + 0o157) + chr(52) + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(9976 - 9865) + chr(0b110010) + chr(51) + chr(1588 - 1533), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\065' + chr(0b10 + 0o57), 0b1000), ehT0Px3KOsy9('\x30' + chr(8156 - 8045) + chr(0b110001) + chr(0b1001 + 0o54) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(0b111 + 0o54) + '\066' + chr(2326 - 2273), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + '\x34' + '\062', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x33' + '\x32' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(541 - 430) + chr(0b101010 + 0o10) + '\063' + chr(1224 - 1176), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111 + 0o0) + '\061' + '\060' + '\067', 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(2139 - 2028) + '\x33' + chr(1408 - 1356) + chr(591 - 542), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10101 + 0o132) + '\063' + '\065' + '\x34', 153 - 145), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1001000 + 0o47) + chr(0b10 + 0o60) + chr(54) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010100 + 0o33) + chr(0b110010) + '\x30' + '\x33', 41886 - 41878), ehT0Px3KOsy9(chr(0b110000) + chr(1394 - 1283) + chr(0b10011 + 0o40) + '\064' + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(0b1000 + 0o53) + chr(0b11 + 0o64), ord("\x08")), ehT0Px3KOsy9('\060' + chr(937 - 826) + chr(0b110011) + chr(52) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\x30' + chr(1627 - 1573), 0o10), ehT0Px3KOsy9('\x30' + chr(2948 - 2837) + '\061' + chr(90 - 39) + '\x31', 10832 - 10824), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + chr(0b110011) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10989 - 10878) + chr(0b110100 + 0o2) + chr(2451 - 2398), 0b1000), ehT0Px3KOsy9('\060' + chr(0b100010 + 0o115) + chr(2430 - 2376) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000101 + 0o52) + chr(0b110001) + '\x37' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9289 - 9178) + chr(985 - 936) + '\x32' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(419 - 370) + chr(48) + chr(0b1010 + 0o47), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b101001 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(242 - 194) + '\x6f' + chr(50) + '\x31' + chr(1352 - 1304), 8193 - 8185), ehT0Px3KOsy9(chr(1404 - 1356) + chr(9322 - 9211) + chr(0b11101 + 0o24) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(114 - 66) + '\x6f' + '\061' + chr(49) + chr(535 - 486), 61114 - 61106), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + chr(55) + chr(0b10111 + 0o34), 39426 - 39418), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b11000 + 0o127) + '\x36' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(2993 - 2882) + '\x33' + chr(0b110110) + chr(2281 - 2226), 12230 - 12222), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\x33' + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b110111) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + chr(0b11010 + 0o27) + chr(0b110111) + chr(549 - 496), 8), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + '\x37' + '\x33', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(1581 - 1526), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + '\065' + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'l'), chr(0b1100100) + '\x65' + '\x63' + chr(0b1101111) + chr(5926 - 5826) + chr(5475 - 5374))(chr(0b1110101) + '\164' + chr(8850 - 8748) + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def kiE1gQUSS5os(OeWW0F1dBPRQ):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b',\x1b\x17\x1cz\xecJ\x07\x85\x07'), '\x64' + chr(0b1011101 + 0o10) + chr(0b100000 + 0o103) + chr(6373 - 6262) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'1\x0e\x1b\x17A\xfe[\x0c\x9c\x18\xb3\xc7.\x8c\x8d\xd1\xe6\x91'), chr(0b110101 + 0o57) + chr(101) + '\x63' + '\157' + chr(100) + '\145')(chr(2828 - 2711) + chr(1674 - 1558) + chr(0b10000 + 0o126) + '\x2d' + chr(2688 - 2632)), values=[OeWW0F1dBPRQ]):
QQEXXbdZyz6m = qypPRW8fq869(OeWW0F1dBPRQ)
OeWW0F1dBPRQ = ZUL3kHBGU8Uu(IDJ2eXGCBCDu.reshape(OeWW0F1dBPRQ, [-ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + chr(0b110001), 0b1000)] + QQEXXbdZyz6m[-ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33', ord("\x08")):]))
ByRlrGt3L2L6 = IDJ2eXGCBCDu.reduce_mean(OeWW0F1dBPRQ, axis=[ehT0Px3KOsy9(chr(1002 - 954) + '\157' + chr(0b110001), 8), ehT0Px3KOsy9('\060' + '\x6f' + '\062', ord("\x08"))], keepdims=ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001), 8))
UF0bNGdEBu3_ = IDJ2eXGCBCDu.reduce_mean(IDJ2eXGCBCDu.squared_difference(OeWW0F1dBPRQ, ByRlrGt3L2L6), axis=[ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001), 8), ehT0Px3KOsy9('\x30' + chr(5308 - 5197) + '\x32', 8)], keepdims=ehT0Px3KOsy9(chr(48) + chr(111) + '\x31', 8))
ubAFGTT7K49V = ZUL3kHBGU8Uu(QQEXXbdZyz6m[-ehT0Px3KOsy9('\060' + chr(1018 - 907) + '\x32', 8)] * QQEXXbdZyz6m[-ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011), 8)])
OeWW0F1dBPRQ = (OeWW0F1dBPRQ - ByRlrGt3L2L6) / IDJ2eXGCBCDu.maximum(IDJ2eXGCBCDu.sqrt(UF0bNGdEBu3_), IDJ2eXGCBCDu.rsqrt(ubAFGTT7K49V))
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'0\x1f\t\x11D\xefL'), chr(0b1001001 + 0o33) + '\145' + chr(5858 - 5759) + chr(111) + '\144' + chr(0b1100101))('\x75' + '\164' + chr(9989 - 9887) + chr(0b10101 + 0o30) + '\x38'))(OeWW0F1dBPRQ, QQEXXbdZyz6m)
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
flatten4d3d
|
def flatten4d3d(x):
"""Flatten a 4d-tensor into a 3d-tensor by joining width and height."""
xshape = shape_list(x)
result = tf.reshape(x, [xshape[0], xshape[1] * xshape[2], xshape[3]])
return result
|
python
|
def flatten4d3d(x):
"""Flatten a 4d-tensor into a 3d-tensor by joining width and height."""
xshape = shape_list(x)
result = tf.reshape(x, [xshape[0], xshape[1] * xshape[2], xshape[3]])
return result
|
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Flatten a 4d-tensor into a 3d-tensor by joining width and height.
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L291-L295
|
train
|
Flatten a 4d - tensor into a 3d - tensor by joining width and height.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(2108 - 2060) + chr(3363 - 3252) + chr(529 - 480) + '\x30' + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(1432 - 1381) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1421 - 1373) + '\157' + chr(923 - 874) + chr(49) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101000 + 0o17) + chr(2834 - 2779), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010101 + 0o32) + '\x33' + chr(2284 - 2236) + chr(419 - 365), 50837 - 50829), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2252 - 2202) + chr(300 - 252) + chr(417 - 362), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x35' + chr(55), 0o10), ehT0Px3KOsy9(chr(1821 - 1773) + chr(0b1101111) + '\063' + chr(1972 - 1923) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(51) + chr(1526 - 1477), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(0b110110) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + '\063' + '\061' + '\064', 9965 - 9957), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(1266 - 1155) + '\x31' + '\062' + chr(1328 - 1276), 0b1000), ehT0Px3KOsy9(chr(1128 - 1080) + '\x6f' + chr(0b110001 + 0o1) + '\061' + chr(1482 - 1431), 51762 - 51754), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(1989 - 1937) + chr(1085 - 1037), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b10101 + 0o35) + chr(0b10 + 0o65) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101111 + 0o2) + chr(0b110001 + 0o2) + chr(0b1 + 0o61), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b110011) + '\061', 8), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101001 + 0o6) + chr(0b110001) + '\x31' + '\x37', 13064 - 13056), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110111) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(549 - 498) + chr(0b110001) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(5525 - 5414) + chr(0b110011) + chr(2595 - 2544) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b100100 + 0o22) + chr(574 - 520), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b100000 + 0o117) + chr(2101 - 2052) + chr(51) + '\x36', 51059 - 51051), ehT0Px3KOsy9('\x30' + chr(10238 - 10127) + chr(0b110001) + chr(52) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + '\x32' + chr(0b100011 + 0o22) + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10100 + 0o35) + chr(53) + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + '\x32' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100 + 0o153) + chr(0b110001) + chr(0b110100) + chr(0b101001 + 0o13), 0o10), ehT0Px3KOsy9(chr(1989 - 1941) + chr(0b100111 + 0o110) + chr(51) + chr(0b110010) + '\x35', 0b1000), ehT0Px3KOsy9(chr(1523 - 1475) + chr(0b10000 + 0o137) + chr(546 - 497) + chr(54) + chr(0b110100), 56118 - 56110), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(0b110100) + '\x37', 0b1000), ehT0Px3KOsy9(chr(221 - 173) + '\157' + chr(1382 - 1331) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(486 - 435) + chr(0b100101 + 0o16) + chr(0b101000 + 0o16), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1147 - 1036) + chr(162 - 111) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(424 - 369) + '\061', 51236 - 51228), ehT0Px3KOsy9('\x30' + chr(9253 - 9142) + chr(54) + chr(0b10011 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(0b11111 + 0o25), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(49) + chr(50), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + '\x35' + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'i'), chr(0b11001 + 0o113) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(7606 - 7506) + '\145')(chr(0b1000000 + 0o65) + '\x74' + chr(0b1100110) + '\x2d' + chr(0b11110 + 0o32)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def CrMLsnWBT48e(OeWW0F1dBPRQ):
XH_WlT4vj_oW = qypPRW8fq869(OeWW0F1dBPRQ)
ShZmEKfTkAOZ = IDJ2eXGCBCDu.reshape(OeWW0F1dBPRQ, [XH_WlT4vj_oW[ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101100 + 0o4), 0o10)], XH_WlT4vj_oW[ehT0Px3KOsy9('\060' + '\x6f' + chr(49), 8)] * XH_WlT4vj_oW[ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010), 11126 - 11118)], XH_WlT4vj_oW[ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1010010 + 0o35) + chr(0b110011), 0b1000)]])
return ShZmEKfTkAOZ
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
gather
|
def gather(params, indices, dtype=tf.float32):
"""Version of tf.gather that works faster on tpu."""
if not is_xla_compiled():
return tf.gather(params, indices)
vocab_size = params.get_shape().as_list()[0]
indices_flat = tf.reshape(indices, [-1])
out = tf.matmul(tf.one_hot(indices_flat, vocab_size, dtype=dtype), params)
out = reshape_like(out, tf.expand_dims(indices, -1))
return out
|
python
|
def gather(params, indices, dtype=tf.float32):
"""Version of tf.gather that works faster on tpu."""
if not is_xla_compiled():
return tf.gather(params, indices)
vocab_size = params.get_shape().as_list()[0]
indices_flat = tf.reshape(indices, [-1])
out = tf.matmul(tf.one_hot(indices_flat, vocab_size, dtype=dtype), params)
out = reshape_like(out, tf.expand_dims(indices, -1))
return out
|
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Version of tf.gather that works faster on tpu.
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L299-L307
|
train
|
Version of tf. gather that works faster on tpu.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1400 - 1352) + chr(691 - 580) + chr(0b110010) + chr(53) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(796 - 744) + chr(857 - 807), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b110101) + '\x30', 7953 - 7945), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(51) + chr(725 - 673) + chr(0b101000 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(1888 - 1840) + chr(0b110111 + 0o70) + '\063' + chr(0b110001) + '\064', 0b1000), ehT0Px3KOsy9(chr(2035 - 1987) + '\x6f' + '\x33' + chr(2912 - 2857) + chr(0b101101 + 0o10), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10001 + 0o41) + chr(0b110100) + chr(0b110000 + 0o3), 0o10), ehT0Px3KOsy9(chr(1699 - 1651) + chr(0b1101111) + chr(0b110001) + '\062' + chr(573 - 520), 9532 - 9524), ehT0Px3KOsy9('\x30' + chr(3111 - 3000) + chr(96 - 47) + chr(0b10010 + 0o45) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(0b11011 + 0o26) + '\067', 0o10), ehT0Px3KOsy9(chr(1042 - 994) + chr(267 - 156) + chr(2471 - 2420) + '\065' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(12315 - 12204) + chr(186 - 137) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + chr(1313 - 1259) + chr(54), 48009 - 48001), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110 + 0o55) + chr(53) + '\x35', 55696 - 55688), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1000110 + 0o51) + chr(0b110010) + chr(0b110010) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11011 + 0o26) + chr(0b110110) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100110 + 0o15) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + '\x31' + '\063' + '\066', 0o10), ehT0Px3KOsy9(chr(284 - 236) + '\157' + '\x31' + chr(472 - 421) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(12022 - 11911) + chr(0b110010) + chr(319 - 270) + '\x37', 8), ehT0Px3KOsy9(chr(1300 - 1252) + chr(8902 - 8791) + chr(0b110001) + chr(0b110010) + chr(0b10111 + 0o36), 8), ehT0Px3KOsy9('\060' + chr(0b11101 + 0o122) + chr(1249 - 1200) + chr(0b100000 + 0o26) + chr(1807 - 1756), 42238 - 42230), ehT0Px3KOsy9(chr(0b110000) + chr(8539 - 8428) + chr(50) + chr(52) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101100 + 0o10) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100110 + 0o111) + chr(50) + chr(0b110100) + chr(1102 - 1050), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101 + 0o54) + '\x37' + chr(764 - 715), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1500 - 1450) + '\x35' + chr(54), 8), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b100111 + 0o110) + '\063' + chr(0b110111) + chr(51), 56803 - 56795), ehT0Px3KOsy9('\060' + chr(3995 - 3884) + '\x32' + '\x37' + '\x36', 4345 - 4337), ehT0Px3KOsy9(chr(703 - 655) + chr(111) + chr(0b11100 + 0o27) + chr(53) + chr(0b11100 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + '\063' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(3185 - 3074) + '\x31' + chr(0b101101 + 0o3) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(721 - 670) + '\x30', 41995 - 41987), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + '\x33' + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(0b110000) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(7560 - 7449) + chr(0b110110) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(368 - 320) + '\x6f' + chr(54) + chr(54), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + '\x37' + chr(0b101 + 0o56), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\061' + '\062', 24138 - 24130), ehT0Px3KOsy9(chr(577 - 529) + chr(111) + '\x32' + chr(1486 - 1436) + '\x31', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1892 - 1844) + chr(6963 - 6852) + chr(278 - 225) + chr(0b10000 + 0o40), 22370 - 22362)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x80'), chr(0b1100100) + chr(101) + '\x63' + '\x6f' + chr(0b11100 + 0o110) + '\145')(chr(0b11100 + 0o131) + '\x74' + chr(0b1100110) + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def kGr_8mTaGpVE(nEbJZ4wfte2w, pIcoaXENl5Pw, jSV9IKnemH7K=xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8\xce\xc7\x84\xb8\xce\x91'), chr(3656 - 3556) + chr(0b1 + 0o144) + chr(99) + chr(0b1010011 + 0o34) + chr(0b0 + 0o144) + '\x65')(chr(0b1110101) + '\164' + chr(0b1010 + 0o134) + '\055' + chr(0b111000)))):
if not GayarD_wafnb():
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\xc3\xdc\x8d\xa9\x8f'), chr(0b1100100) + chr(0b1001100 + 0o31) + chr(0b1100011) + chr(303 - 192) + chr(6943 - 6843) + chr(0b10110 + 0o117))(chr(117) + chr(0b1110100) + chr(0b11 + 0o143) + chr(45) + chr(0b101001 + 0o17)))(nEbJZ4wfte2w, pIcoaXENl5Pw)
CeyMIoSyrpkQ = nEbJZ4wfte2w.get_shape().as_list()[ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1920 - 1872), ord("\x08"))]
B2MRJnEHBbgp = IDJ2eXGCBCDu.reshape(pIcoaXENl5Pw, [-ehT0Px3KOsy9(chr(690 - 642) + chr(0b1101111) + chr(2140 - 2091), 29498 - 29490)])
UkrMp_I0RDmo = IDJ2eXGCBCDu.matmul(IDJ2eXGCBCDu.Hq3fv4Yp0EhD(B2MRJnEHBbgp, CeyMIoSyrpkQ, dtype=jSV9IKnemH7K), nEbJZ4wfte2w)
UkrMp_I0RDmo = syObW_2iNuuK(UkrMp_I0RDmo, IDJ2eXGCBCDu.expand_dims(pIcoaXENl5Pw, -ehT0Px3KOsy9(chr(1367 - 1319) + '\157' + chr(0b10001 + 0o40), 8)))
return UkrMp_I0RDmo
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
cumsum
|
def cumsum(x, axis=0, exclusive=False):
"""TPU hack for tf.cumsum.
This is equivalent to tf.cumsum and is faster on TPU as of 04/2018 unless
the axis dimension is very large.
Args:
x: a Tensor
axis: an integer
exclusive: a boolean
Returns:
Tensor of the same shape as x.
"""
if not is_xla_compiled():
return tf.cumsum(x, axis=axis, exclusive=exclusive)
x_shape = shape_list(x)
rank = len(x_shape)
length = x_shape[axis]
my_range = tf.range(length)
comparator = tf.less if exclusive else tf.less_equal
mask = tf.cast(
comparator(tf.expand_dims(my_range, 1), tf.expand_dims(my_range, 0)),
x.dtype)
ret = tf.tensordot(x, mask, axes=[[axis], [0]])
if axis != rank - 1:
ret = tf.transpose(
ret,
list(range(axis)) + [rank - 1] + list(range(axis, rank - 1)))
return ret
|
python
|
def cumsum(x, axis=0, exclusive=False):
"""TPU hack for tf.cumsum.
This is equivalent to tf.cumsum and is faster on TPU as of 04/2018 unless
the axis dimension is very large.
Args:
x: a Tensor
axis: an integer
exclusive: a boolean
Returns:
Tensor of the same shape as x.
"""
if not is_xla_compiled():
return tf.cumsum(x, axis=axis, exclusive=exclusive)
x_shape = shape_list(x)
rank = len(x_shape)
length = x_shape[axis]
my_range = tf.range(length)
comparator = tf.less if exclusive else tf.less_equal
mask = tf.cast(
comparator(tf.expand_dims(my_range, 1), tf.expand_dims(my_range, 0)),
x.dtype)
ret = tf.tensordot(x, mask, axes=[[axis], [0]])
if axis != rank - 1:
ret = tf.transpose(
ret,
list(range(axis)) + [rank - 1] + list(range(axis, rank - 1)))
return ret
|
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] |
TPU hack for tf.cumsum.
This is equivalent to tf.cumsum and is faster on TPU as of 04/2018 unless
the axis dimension is very large.
Args:
x: a Tensor
axis: an integer
exclusive: a boolean
Returns:
Tensor of the same shape as x.
|
[
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"cumsum",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L311-L340
|
train
|
TPU hack for tf. cumsum. cumsum.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(7977 - 7866) + '\062' + chr(51) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100100 + 0o13) + chr(332 - 281) + chr(0b110000) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(9029 - 8918) + chr(0b101 + 0o60) + chr(655 - 607), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\063' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(815 - 766) + chr(0b100001 + 0o23) + '\060', 25525 - 25517), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b110110) + '\x30', 59880 - 59872), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(0b110000) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(2159 - 2111) + chr(111) + chr(0b1001 + 0o52) + chr(0b11100 + 0o33) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(53) + chr(0b110111), 7563 - 7555), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10010 + 0o37) + '\x31' + chr(0b110100 + 0o2), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5422 - 5311) + chr(0b100010 + 0o20) + chr(245 - 195) + chr(0b110101), 14624 - 14616), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\x33' + chr(1631 - 1577), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(0b110111) + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(1685 - 1637) + chr(0b110111), 27610 - 27602), ehT0Px3KOsy9('\x30' + chr(4255 - 4144) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(0b1001 + 0o47) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b11000 + 0o33) + '\x33' + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(3828 - 3717) + chr(49) + chr(0b110111) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1 + 0o156) + '\x32' + '\x34' + chr(2477 - 2425), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1011110 + 0o21) + '\x31' + '\x37' + '\063', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(1182 - 1130) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(818 - 769), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(821 - 770) + chr(0b11111 + 0o30), 567 - 559), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\067' + chr(225 - 174), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(0b11 + 0o57) + '\x36' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(726 - 615) + '\x32' + '\x32' + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b110011) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(2726 - 2673) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\060' + chr(49), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b100000 + 0o26) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(1601 - 1547) + '\x37', 3165 - 3157), ehT0Px3KOsy9('\060' + chr(9113 - 9002) + '\063' + chr(0b101011 + 0o5) + '\x30', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100111 + 0o10) + chr(956 - 905) + '\x36' + chr(871 - 818), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011101 + 0o22) + chr(0b11110 + 0o25) + chr(1491 - 1440) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(8319 - 8208) + chr(50) + '\065' + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4783 - 4672) + '\062' + '\x31' + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2359 - 2309) + chr(49) + '\062', 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b101000 + 0o11) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100011 + 0o14) + chr(49) + '\x32' + chr(1572 - 1524), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001110 + 0o41) + chr(0b110010) + chr(49) + '\x37', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(2338 - 2227) + chr(0b10010 + 0o43) + chr(664 - 616), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0'), chr(0b1100100) + chr(0b1100101) + '\143' + '\157' + chr(100) + chr(0b1011 + 0o132))(chr(117) + chr(116) + '\146' + chr(1274 - 1229) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def i0lzZW3r00ue(OeWW0F1dBPRQ, cRTh61qyvi24=ehT0Px3KOsy9(chr(436 - 388) + chr(111) + chr(0b110000), ord("\x08")), jcNO9nauf7rM=ehT0Px3KOsy9('\060' + chr(111) + '\060', 8)):
if not GayarD_wafnb():
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\xf3D$:\xe7\xf1\x8c_~\xe0;'), chr(0b1100100) + '\x65' + chr(9722 - 9623) + '\x6f' + '\x64' + '\x65')(chr(7618 - 7501) + chr(7559 - 7443) + chr(0b1100110) + chr(0b101101) + chr(3068 - 3012)))(OeWW0F1dBPRQ, axis=cRTh61qyvi24, exclusive=jcNO9nauf7rM)
QQEXXbdZyz6m = qypPRW8fq869(OeWW0F1dBPRQ)
SIkZeGCA53HL = c2A0yzQpDQB3(QQEXXbdZyz6m)
CHAOgk5VCHH_ = QQEXXbdZyz6m[cRTh61qyvi24]
u_X6XlkGJsZk = IDJ2eXGCBCDu.range(CHAOgk5VCHH_)
JzlJ4vE4KfuM = IDJ2eXGCBCDu.less if jcNO9nauf7rM else IDJ2eXGCBCDu.less_equal
Iz1jSgUKZDvt = IDJ2eXGCBCDu.cast(JzlJ4vE4KfuM(IDJ2eXGCBCDu.expand_dims(u_X6XlkGJsZk, ehT0Px3KOsy9(chr(48) + chr(0b10011 + 0o134) + chr(49), 8)), IDJ2eXGCBCDu.expand_dims(u_X6XlkGJsZk, ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110000), 8))), OeWW0F1dBPRQ.jSV9IKnemH7K)
VHn4CV4Ymrei = IDJ2eXGCBCDu.tensordot(OeWW0F1dBPRQ, Iz1jSgUKZDvt, axes=[[cRTh61qyvi24], [ehT0Px3KOsy9('\x30' + chr(9508 - 9397) + chr(978 - 930), 8)]])
if cRTh61qyvi24 != SIkZeGCA53HL - ehT0Px3KOsy9('\x30' + chr(0b1010000 + 0o37) + chr(49), 8):
VHn4CV4Ymrei = IDJ2eXGCBCDu.transpose(VHn4CV4Ymrei, YyaZ4tpXu4lf(vQr8gNKaIaWE(cRTh61qyvi24)) + [SIkZeGCA53HL - ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31', 8)] + YyaZ4tpXu4lf(vQr8gNKaIaWE(cRTh61qyvi24, SIkZeGCA53HL - ehT0Px3KOsy9(chr(48) + chr(2304 - 2193) + '\x31', 8))))
return VHn4CV4Ymrei
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
dropout_no_scaling
|
def dropout_no_scaling(x, keep_prob):
"""Like tf.nn.dropout, but does not scale up. Works on integers also.
Args:
x: a Tensor
keep_prob: a floating point number
Returns:
Tensor of the same shape as x.
"""
if keep_prob == 1.0:
return x
mask = tf.less(tf.random_uniform(tf.shape(x)), keep_prob)
return x * cast_like(mask, x)
|
python
|
def dropout_no_scaling(x, keep_prob):
"""Like tf.nn.dropout, but does not scale up. Works on integers also.
Args:
x: a Tensor
keep_prob: a floating point number
Returns:
Tensor of the same shape as x.
"""
if keep_prob == 1.0:
return x
mask = tf.less(tf.random_uniform(tf.shape(x)), keep_prob)
return x * cast_like(mask, x)
|
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] |
Like tf.nn.dropout, but does not scale up. Works on integers also.
Args:
x: a Tensor
keep_prob: a floating point number
Returns:
Tensor of the same shape as x.
|
[
"Like",
"tf",
".",
"nn",
".",
"dropout",
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L343-L356
|
train
|
Like tf. nn. dropout but does not scale up.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11011 + 0o27) + '\x35' + chr(48), 42383 - 42375), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + '\063' + chr(604 - 549) + '\x36', 38385 - 38377), ehT0Px3KOsy9(chr(589 - 541) + chr(0b1101111) + '\x33' + '\x37' + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11641 - 11530) + chr(0b110001) + '\x34' + chr(2269 - 2216), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x37' + chr(900 - 852), 2388 - 2380), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(0b110010) + chr(0b110000) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + '\066' + '\x30', 0b1000), ehT0Px3KOsy9(chr(2032 - 1984) + '\157' + chr(586 - 535) + chr(76 - 27), 0b1000), ehT0Px3KOsy9(chr(2078 - 2030) + chr(0b1101111) + '\061' + chr(0b110000) + chr(2227 - 2178), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b110000) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + '\061' + chr(0b110010) + '\062', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + '\x30' + chr(0b110010), 36974 - 36966), ehT0Px3KOsy9(chr(48) + chr(0b1100 + 0o143) + '\x31' + chr(50) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(1651 - 1602), 0b1000), ehT0Px3KOsy9(chr(852 - 804) + chr(111) + chr(0b110001) + chr(53) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(0b110011) + chr(0b110001) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\066' + chr(0b100111 + 0o16), 0b1000), ehT0Px3KOsy9('\060' + chr(5457 - 5346) + chr(0b101110 + 0o4) + chr(0b110010) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1229 - 1179) + chr(0b11011 + 0o30) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(8976 - 8865) + '\067' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(1209 - 1159), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\067' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(0b110011) + chr(55) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(11857 - 11746) + chr(0b110011) + chr(0b10001 + 0o46) + chr(549 - 494), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1011 + 0o50) + chr(0b110011) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + '\x33' + chr(53) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(2292 - 2244) + chr(111) + chr(1989 - 1937) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(5998 - 5887) + chr(50) + chr(1713 - 1659) + chr(0b10101 + 0o35), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111010 + 0o65) + '\063' + '\066' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1101 + 0o46) + chr(0b110001 + 0o2) + chr(1308 - 1260), 0o10), ehT0Px3KOsy9(chr(904 - 856) + chr(0b11110 + 0o121) + chr(0b101111 + 0o4) + '\x37' + '\060', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + '\x35' + chr(0b110001), 18107 - 18099), ehT0Px3KOsy9('\060' + chr(12052 - 11941) + '\x32' + chr(513 - 464) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + '\062' + chr(0b110010) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100100 + 0o21) + '\x32', 0b1000), ehT0Px3KOsy9(chr(2196 - 2148) + chr(111) + chr(0b10 + 0o60) + chr(0b10000 + 0o44) + chr(277 - 227), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\063' + '\x33' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(1326 - 1278) + chr(5784 - 5673) + '\x33' + chr(2619 - 2565) + chr(51), 3985 - 3977), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b100011 + 0o114) + chr(0b110010), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(2501 - 2448) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x86'), chr(0b1100000 + 0o4) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(100) + '\x65')(chr(117) + '\164' + chr(0b1001110 + 0o30) + '\055' + chr(112 - 56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def R3NfWn9rMPaM(OeWW0F1dBPRQ, gHeP0t6GwBIV):
if gHeP0t6GwBIV == 1.0:
return OeWW0F1dBPRQ
Iz1jSgUKZDvt = IDJ2eXGCBCDu.less(IDJ2eXGCBCDu.random_uniform(IDJ2eXGCBCDu.nauYfLglTpcb(OeWW0F1dBPRQ)), gHeP0t6GwBIV)
return OeWW0F1dBPRQ * QzW8kYNS1xWf(Iz1jSgUKZDvt, OeWW0F1dBPRQ)
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
embedding
|
def embedding(x,
vocab_size,
dense_size,
name=None,
reuse=None,
multiplier=1.0,
symbol_dropout_rate=0.0,
embedding_var=None,
dtype=tf.float32):
"""Embed x of type int64 into dense vectors, reducing to max 4 dimensions."""
with tf.variable_scope(
name, default_name="embedding", values=[x], reuse=reuse, dtype=dtype):
if embedding_var is None:
embedding_var = tf.get_variable("kernel", [vocab_size, dense_size])
# On the backwards pass, we want to convert the gradient from
# an indexed-slices to a regular tensor before sending it back to the
# parameter server. This avoids excess computation on the parameter server.
if not tf.executing_eagerly():
embedding_var = convert_gradient_to_tensor(embedding_var)
x = dropout_no_scaling(x, 1.0 - symbol_dropout_rate)
emb_x = gather(embedding_var, x, dtype)
if multiplier != 1.0:
emb_x *= multiplier
static_shape = emb_x.shape.as_list()
if len(static_shape) < 5:
return emb_x
assert len(static_shape) == 5
# If we had an extra channel dimension, assume it's 1, i.e. shape[3] == 1.
return tf.squeeze(emb_x, 3)
|
python
|
def embedding(x,
vocab_size,
dense_size,
name=None,
reuse=None,
multiplier=1.0,
symbol_dropout_rate=0.0,
embedding_var=None,
dtype=tf.float32):
"""Embed x of type int64 into dense vectors, reducing to max 4 dimensions."""
with tf.variable_scope(
name, default_name="embedding", values=[x], reuse=reuse, dtype=dtype):
if embedding_var is None:
embedding_var = tf.get_variable("kernel", [vocab_size, dense_size])
# On the backwards pass, we want to convert the gradient from
# an indexed-slices to a regular tensor before sending it back to the
# parameter server. This avoids excess computation on the parameter server.
if not tf.executing_eagerly():
embedding_var = convert_gradient_to_tensor(embedding_var)
x = dropout_no_scaling(x, 1.0 - symbol_dropout_rate)
emb_x = gather(embedding_var, x, dtype)
if multiplier != 1.0:
emb_x *= multiplier
static_shape = emb_x.shape.as_list()
if len(static_shape) < 5:
return emb_x
assert len(static_shape) == 5
# If we had an extra channel dimension, assume it's 1, i.e. shape[3] == 1.
return tf.squeeze(emb_x, 3)
|
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] |
Embed x of type int64 into dense vectors, reducing to max 4 dimensions.
|
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L359-L387
|
train
|
Embed x into dense vectors reducing to max 4 dimensions.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(2696 - 2585) + chr(0b110011) + '\067' + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9944 - 9833) + '\x33' + '\x34' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2377 - 2326) + chr(50) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\x37', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(1704 - 1654) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(0b110010) + '\x36', 8), ehT0Px3KOsy9('\x30' + chr(2759 - 2648) + chr(0b110110) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10200 - 10089) + '\x31' + chr(2660 - 2608) + chr(1072 - 1021), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(990 - 939) + chr(1599 - 1549) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + chr(0b110101) + chr(0b10 + 0o60), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1120 - 1071) + chr(0b10110 + 0o41) + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(49) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + '\x30' + chr(0b100 + 0o63), 32915 - 32907), ehT0Px3KOsy9('\x30' + chr(0b1000011 + 0o54) + '\063' + chr(0b11 + 0o60) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100101 + 0o112) + chr(49) + chr(51) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b11010 + 0o125) + '\x33' + chr(0b101111 + 0o7) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(0b1100 + 0o47) + chr(48) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(3410 - 3299) + '\x33' + chr(0b1101 + 0o50), 41828 - 41820), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(983 - 928) + '\062', 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(3490 - 3379) + chr(255 - 205) + chr(48) + chr(50), 2444 - 2436), ehT0Px3KOsy9(chr(48) + chr(0b110001 + 0o76) + chr(51) + chr(0b1 + 0o64) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10110 + 0o34) + '\x37' + chr(48), 52498 - 52490), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(783 - 732) + '\063' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + chr(54) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(0b100111 + 0o13) + chr(0b110101), 63610 - 63602), ehT0Px3KOsy9(chr(975 - 927) + chr(11618 - 11507) + chr(0b110000 + 0o3) + '\x33' + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(6801 - 6690) + chr(0b110001) + chr(0b110010) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11110 + 0o121) + chr(51) + chr(0b10110 + 0o34) + chr(0b11 + 0o63), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\x30' + chr(0b110101 + 0o0), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2322 - 2271) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(1611 - 1563) + '\157' + '\063' + '\066' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(3783 - 3672) + chr(0b110 + 0o57), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\x31' + '\062', 35158 - 35150), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + '\061' + chr(0b110110) + chr(1030 - 979), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(1622 - 1573) + '\063' + '\x32', 60671 - 60663), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b100110 + 0o20) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(406 - 356) + chr(50) + '\066', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101000 + 0o13) + chr(1551 - 1503) + chr(0b10010 + 0o41), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(485 - 434) + '\x33' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2369 - 2318) + chr(978 - 927) + '\066', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(53) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6'), chr(0b1100100) + '\x65' + '\143' + '\157' + chr(0b1100100) + chr(0b1010000 + 0o25))('\x75' + chr(3204 - 3088) + chr(0b1001000 + 0o36) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def lwIir85sFEJp(OeWW0F1dBPRQ, CeyMIoSyrpkQ, A_cEdBbrATFz, AIvJRzLdDfgF=None, pmC5wdSFgdFj=None, S0Mp0SOoXply=1.0, nq1r4UWyjNB2=0.0, g9mMUZCHfbgl=None, jSV9IKnemH7K=xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\x8f\xb9v\xe2\xa5\x06'), '\x64' + chr(0b1100101) + chr(0b11 + 0o140) + chr(6174 - 6063) + chr(0b1001111 + 0o25) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(0b1010 + 0o43) + '\070'))):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\x82\xa4~\xf7\xf4X\x06\x88Y\x1a"\xf7\xbe'), '\x64' + chr(101) + chr(0b1000110 + 0o35) + chr(1266 - 1155) + '\144' + chr(0b1100101))(chr(0b1110101) + '\164' + '\x66' + chr(0b101101) + chr(56)))(AIvJRzLdDfgF, default_name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\x8e\xb4r\xf2\xf2]\r\xb0'), chr(0b11101 + 0o107) + '\145' + '\x63' + '\x6f' + chr(0b1100100) + chr(0b1100011 + 0o2))('\165' + '\164' + chr(0b10101 + 0o121) + chr(45) + chr(289 - 233)), values=[OeWW0F1dBPRQ], reuse=pmC5wdSFgdFj, dtype=jSV9IKnemH7K):
if g9mMUZCHfbgl is None:
g9mMUZCHfbgl = IDJ2eXGCBCDu.get_variable(xafqLlk3kkUe(SXOLrMavuUCe(b'\x93\x86\xa4y\xf3\xfa'), chr(3035 - 2935) + chr(0b1100101) + '\x63' + chr(0b1001011 + 0o44) + '\x64' + chr(101))(chr(117) + '\x74' + chr(0b10 + 0o144) + '\x2d' + chr(56)), [CeyMIoSyrpkQ, A_cEdBbrATFz])
if not xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\x9b\xb3t\xe3\xe2]\r\xb0u\x1c,\xe0\xbe*\x9d\xb9'), '\144' + chr(0b11100 + 0o111) + '\143' + chr(6999 - 6888) + chr(100) + chr(0b1100101))(chr(11096 - 10979) + chr(0b1010110 + 0o36) + chr(7157 - 7055) + chr(45) + '\x38'))():
g9mMUZCHfbgl = UIGEanQd8L1p(g9mMUZCHfbgl)
OeWW0F1dBPRQ = R3NfWn9rMPaM(OeWW0F1dBPRQ, 1.0 - nq1r4UWyjNB2)
SEX1m5djC33b = kGr_8mTaGpVE(g9mMUZCHfbgl, OeWW0F1dBPRQ, jSV9IKnemH7K)
if S0Mp0SOoXply != 1.0:
SEX1m5djC33b *= S0Mp0SOoXply
mPvZu54qNVig = SEX1m5djC33b.shape.as_list()
if c2A0yzQpDQB3(mPvZu54qNVig) < ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(12081 - 11970) + '\x35', 8):
return SEX1m5djC33b
assert c2A0yzQpDQB3(mPvZu54qNVig) == ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x35', 8)
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\x92\xa3r\xf3\xecQ'), '\144' + '\145' + chr(99) + '\x6f' + chr(0b1010111 + 0o15) + chr(0b110111 + 0o56))(chr(0b1101101 + 0o10) + chr(0b1110100) + '\146' + chr(0b101101) + '\x38'))(SEX1m5djC33b, ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011), 45431 - 45423))
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
shift_right
|
def shift_right(x, pad_value=None):
"""Shift the second dimension of x right by one."""
if pad_value is None:
shifted_targets = tf.pad(x, [[0, 0], [1, 0], [0, 0], [0, 0]])[:, :-1, :, :]
else:
shifted_targets = tf.concat([pad_value, x], axis=1)[:, :-1, :, :]
return shifted_targets
|
python
|
def shift_right(x, pad_value=None):
"""Shift the second dimension of x right by one."""
if pad_value is None:
shifted_targets = tf.pad(x, [[0, 0], [1, 0], [0, 0], [0, 0]])[:, :-1, :, :]
else:
shifted_targets = tf.concat([pad_value, x], axis=1)[:, :-1, :, :]
return shifted_targets
|
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Shift the second dimension of x right by one.
|
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272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L390-L396
|
train
|
Shift the second dimension of x right by one.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(974 - 919) + chr(1983 - 1934), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011 + 0o144) + '\061' + chr(1091 - 1043) + chr(51), 0o10), ehT0Px3KOsy9(chr(496 - 448) + '\157' + chr(0b110010) + '\064' + chr(1592 - 1544), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + '\063' + chr(0b110000), 65496 - 65488), ehT0Px3KOsy9(chr(1539 - 1491) + '\x6f' + chr(52) + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101010 + 0o5) + '\x31' + '\x32' + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(0b110001) + chr(0b101101 + 0o11), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1557 - 1508) + chr(52) + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(10208 - 10097) + chr(0b100 + 0o54), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + chr(1037 - 987) + chr(0b11111 + 0o27), 0b1000), ehT0Px3KOsy9(chr(1243 - 1195) + chr(111) + chr(0b110111), 24735 - 24727), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + '\x33' + chr(0b101000 + 0o16), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\064' + chr(2143 - 2093), 15570 - 15562), ehT0Px3KOsy9('\x30' + '\157' + '\x36', 64698 - 64690), ehT0Px3KOsy9('\060' + chr(0b1100110 + 0o11) + chr(51) + chr(48), 8), ehT0Px3KOsy9(chr(683 - 635) + chr(4952 - 4841) + chr(1069 - 1020) + '\x32' + chr(50), 55140 - 55132), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(540 - 489) + chr(914 - 861) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + '\x37' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(792 - 681) + chr(50) + chr(0b11100 + 0o26) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(0b100011 + 0o24) + '\066', 6685 - 6677), ehT0Px3KOsy9('\x30' + chr(300 - 189) + chr(0b11100 + 0o27) + chr(53) + chr(0b10111 + 0o32), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x35' + '\x35', 3650 - 3642), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\065' + chr(0b110001 + 0o3), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + '\x31' + chr(0b101010 + 0o7) + '\x37', 0b1000), ehT0Px3KOsy9(chr(2197 - 2149) + chr(0b1101111) + '\x32' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5890 - 5779) + chr(0b101000 + 0o11) + chr(0b11110 + 0o26) + chr(0b101000 + 0o13), 0o10), ehT0Px3KOsy9(chr(397 - 349) + '\157' + chr(0b100110 + 0o16) + chr(0b11100 + 0o25), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + '\061' + chr(55) + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b101100 + 0o13) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(2157 - 2106) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2238 - 2189) + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100110 + 0o11) + chr(0b110010) + chr(496 - 443) + '\064', 8), ehT0Px3KOsy9(chr(48) + chr(0b110 + 0o151) + chr(2381 - 2331) + chr(48) + chr(1774 - 1726), ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + chr(49) + chr(54) + chr(170 - 115), 37463 - 37455), ehT0Px3KOsy9('\x30' + chr(2794 - 2683) + '\x32' + chr(0b110111) + chr(986 - 933), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + '\x36' + '\x34', 47492 - 47484), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b110110) + '\065', 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + '\063' + chr(0b110100) + chr(143 - 90), 39232 - 39224), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(0b110 + 0o53) + '\060' + chr(51), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(404 - 350) + chr(51), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1490 - 1437) + chr(0b1000 + 0o50), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x97'), chr(100) + '\145' + '\x63' + chr(0b1 + 0o156) + chr(6589 - 6489) + chr(0b110 + 0o137))('\x75' + chr(0b1110100) + chr(102) + '\055' + chr(3078 - 3022)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def xCM2F_vO_Rk6(OeWW0F1dBPRQ, TRas5ITvIE8v=None):
if TRas5ITvIE8v is None:
oyK7XSnTOkEL = IDJ2eXGCBCDu.pad(OeWW0F1dBPRQ, [[ehT0Px3KOsy9(chr(1671 - 1623) + chr(0b1101111) + chr(0b110000), 8), ehT0Px3KOsy9('\060' + chr(0b11001 + 0o126) + chr(468 - 420), 8)], [ehT0Px3KOsy9('\060' + chr(5920 - 5809) + chr(0b11111 + 0o22), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(11024 - 10913) + chr(476 - 428), 8)], [ehT0Px3KOsy9(chr(185 - 137) + '\157' + chr(1481 - 1433), 8), ehT0Px3KOsy9(chr(1270 - 1222) + chr(8093 - 7982) + '\x30', 8)], [ehT0Px3KOsy9(chr(1785 - 1737) + chr(111) + '\060', 8), ehT0Px3KOsy9(chr(2129 - 2081) + chr(10812 - 10701) + '\x30', 8)]])[:, :-ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001), 8), :, :]
else:
oyK7XSnTOkEL = IDJ2eXGCBCDu.concat([TRas5ITvIE8v, OeWW0F1dBPRQ], axis=ehT0Px3KOsy9(chr(960 - 912) + '\157' + chr(0b100111 + 0o12), 8))[:, :-ehT0Px3KOsy9('\060' + '\157' + '\061', 8), :, :]
return oyK7XSnTOkEL
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