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tensorflow/tensor2tensor
|
tensor2tensor/data_generators/text_problems.py
|
ChoppedTextProblem.prepare_to_generate
|
def prepare_to_generate(self, data_dir, tmp_dir):
"""Make sure that the data is prepared and the vocab is generated."""
self.get_or_create_vocab(data_dir, tmp_dir)
self.train_text_filepaths(tmp_dir)
self.dev_text_filepaths(tmp_dir)
|
python
|
def prepare_to_generate(self, data_dir, tmp_dir):
"""Make sure that the data is prepared and the vocab is generated."""
self.get_or_create_vocab(data_dir, tmp_dir)
self.train_text_filepaths(tmp_dir)
self.dev_text_filepaths(tmp_dir)
|
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Make sure that the data is prepared and the vocab is generated.
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/text_problems.py#L954-L958
|
train
|
Prepare to generate the vocabulary.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\x6f' + '\x36' + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(1995 - 1945) + chr(0b1010 + 0o54), 23258 - 23250), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010 + 0o1) + chr(587 - 534) + chr(2242 - 2193), 63538 - 63530), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\066', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(53), 0o10), ehT0Px3KOsy9(chr(2126 - 2078) + chr(0b1001111 + 0o40) + chr(1883 - 1833) + '\065' + chr(767 - 718), 43222 - 43214), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\066' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(51) + chr(268 - 219), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010011 + 0o34) + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x36' + '\x36', 19552 - 19544), ehT0Px3KOsy9(chr(1720 - 1672) + chr(2955 - 2844) + chr(2020 - 1969) + chr(2707 - 2653) + chr(0b101 + 0o62), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000110 + 0o51) + '\x34' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10110 + 0o34) + '\060' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + '\x32' + '\066', 47998 - 47990), ehT0Px3KOsy9(chr(893 - 845) + chr(0b1011011 + 0o24) + chr(0b110011) + chr(0b1001 + 0o53) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(9647 - 9536) + '\066' + '\x31', 36615 - 36607), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + chr(0b10010 + 0o37) + chr(0b110110), 62358 - 62350), ehT0Px3KOsy9(chr(0b110000) + chr(8935 - 8824) + chr(51) + '\x37' + '\x30', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001101 + 0o42) + chr(842 - 792) + chr(1197 - 1149) + chr(0b110001 + 0o1), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(12177 - 12066) + chr(0b100010 + 0o17) + chr(2279 - 2231) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\061' + chr(1430 - 1382), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100101 + 0o14) + '\x32' + '\x30', 19167 - 19159), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(915 - 866) + chr(0b100010 + 0o16) + chr(2114 - 2066), 8), ehT0Px3KOsy9(chr(48) + chr(0b1000100 + 0o53) + '\063' + chr(690 - 641) + '\x37', 34661 - 34653), ehT0Px3KOsy9('\x30' + chr(0b1000001 + 0o56) + chr(0b110011) + '\x34' + chr(1843 - 1788), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(1540 - 1487) + '\064', 2873 - 2865), ehT0Px3KOsy9(chr(837 - 789) + chr(0b1001001 + 0o46) + chr(185 - 136) + '\x35' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(639 - 591) + chr(0b1101111) + chr(0b100 + 0o55) + chr(0b10001 + 0o44) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(0b110010) + '\x35' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + '\063' + chr(48) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100011 + 0o23) + '\x31', 8), ehT0Px3KOsy9(chr(334 - 286) + chr(0b1101111) + chr(1560 - 1511) + '\x36' + chr(1696 - 1648), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b11 + 0o154) + '\x31' + chr(0b101 + 0o53) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(12215 - 12104) + chr(658 - 608) + chr(0b110001) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\x34' + chr(0b101110 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110111) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b111100 + 0o63) + chr(0b11001 + 0o31) + chr(555 - 506) + chr(1333 - 1285), 8), ehT0Px3KOsy9('\x30' + chr(0b100001 + 0o116) + chr(139 - 90) + chr(0b1 + 0o65) + chr(168 - 118), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + '\x35', 2880 - 2872), ehT0Px3KOsy9('\060' + chr(11490 - 11379) + '\x33' + chr(0b110011) + chr(2808 - 2754), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2063 - 2015) + chr(4883 - 4772) + chr(1924 - 1871) + '\x30', 20076 - 20068)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b'), chr(100) + '\145' + chr(0b1100011) + chr(111) + chr(7478 - 7378) + '\x65')(chr(0b1110101) + '\164' + '\x66' + '\055' + chr(0b101001 + 0o17)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def WwE1auCtOWHB(oVre8I6UXc3b, kVFRD544hi_1, JsZ36NJUqtml):
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'R\xb3\x9dAj\xdb\xaf\xbarS\x96Q\xe4I\x93^m\x99\xe0'), chr(7788 - 7688) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(100) + chr(4441 - 4340))(chr(7767 - 7650) + chr(0b1101010 + 0o12) + chr(0b1100110) + chr(0b101101) + chr(0b111000)))(kVFRD544hi_1, JsZ36NJUqtml)
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'A\xa4\x88wk\xf6\x84\xbcxB\xa8C\xe8z\x80Ao\x8c\xea3'), '\144' + chr(0b1 + 0o144) + chr(0b10101 + 0o116) + '\157' + '\144' + chr(101))('\x75' + '\x74' + '\146' + chr(45) + chr(1974 - 1918)))(JsZ36NJUqtml)
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'Q\xb3\x9fAq\xcc\x88\xad_P\x9eI\xe4f\x84Ef\x8b'), chr(100) + '\x65' + chr(3508 - 3409) + '\157' + '\x64' + chr(0b110000 + 0o65))(chr(4096 - 3979) + chr(0b110101 + 0o77) + '\x66' + chr(239 - 194) + chr(0b111000)))(JsZ36NJUqtml)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/text_problems.py
|
ChoppedTextProblem.generate_data
|
def generate_data(self, data_dir, tmp_dir, task_id=-1):
"""Generates training/dev data.
Args:
data_dir: a string
tmp_dir: a string
task_id: an optional integer
Returns:
shard or shards for which data was generated.
"""
tf.logging.info("generate_data task_id=%s" % task_id)
encoder = self.get_or_create_vocab(data_dir, tmp_dir)
assert task_id >= 0 and task_id < self.num_generate_tasks
if task_id < self.num_train_shards:
out_file = self.training_filepaths(
data_dir, self.num_train_shards, shuffled=False)[task_id]
else:
out_file = self.dev_filepaths(
data_dir, self.num_dev_shards,
shuffled=False)[task_id - self.num_train_shards]
generator_utils.generate_files(
self.example_generator(encoder, tmp_dir, task_id), [out_file])
generator_utils.shuffle_dataset([out_file])
|
python
|
def generate_data(self, data_dir, tmp_dir, task_id=-1):
"""Generates training/dev data.
Args:
data_dir: a string
tmp_dir: a string
task_id: an optional integer
Returns:
shard or shards for which data was generated.
"""
tf.logging.info("generate_data task_id=%s" % task_id)
encoder = self.get_or_create_vocab(data_dir, tmp_dir)
assert task_id >= 0 and task_id < self.num_generate_tasks
if task_id < self.num_train_shards:
out_file = self.training_filepaths(
data_dir, self.num_train_shards, shuffled=False)[task_id]
else:
out_file = self.dev_filepaths(
data_dir, self.num_dev_shards,
shuffled=False)[task_id - self.num_train_shards]
generator_utils.generate_files(
self.example_generator(encoder, tmp_dir, task_id), [out_file])
generator_utils.shuffle_dataset([out_file])
|
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Generates training/dev data.
Args:
data_dir: a string
tmp_dir: a string
task_id: an optional integer
Returns:
shard or shards for which data was generated.
|
[
"Generates",
"training",
"/",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/text_problems.py#L965-L987
|
train
|
Generates training and dev data.
|
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) + chr(130 - 80) + chr(51) + chr(0b110000), 50843 - 50835), ehT0Px3KOsy9(chr(934 - 886) + chr(111) + '\x37' + chr(55), 63602 - 63594), ehT0Px3KOsy9('\060' + chr(0b10001 + 0o136) + '\x31' + chr(275 - 220) + chr(628 - 577), 0o10), ehT0Px3KOsy9(chr(1053 - 1005) + chr(0b1101111) + chr(49) + chr(53) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1580 - 1469) + chr(1896 - 1845) + '\064' + '\x36', 39255 - 39247), ehT0Px3KOsy9(chr(127 - 79) + chr(8118 - 8007) + chr(0b10101 + 0o40) + chr(48), 9144 - 9136), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(2274 - 2224) + chr(55) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(1567 - 1519) + chr(0b1100000 + 0o17) + chr(1009 - 959) + '\x37' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(938 - 890) + '\157' + '\x31' + chr(0b110110) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(240 - 188) + '\062', 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(3440 - 3329) + chr(0b110001) + chr(49) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(0b11111 + 0o26) + chr(0b110011 + 0o1), 3539 - 3531), ehT0Px3KOsy9('\060' + chr(0b1100 + 0o143) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111010 + 0o65) + '\067' + chr(1446 - 1397), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + '\x32' + chr(0b110101) + chr(53), 7709 - 7701), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(0b110011) + chr(1385 - 1332) + '\x34', 8), ehT0Px3KOsy9(chr(48) + chr(7483 - 7372) + chr(0b1001 + 0o52) + chr(2055 - 2000) + chr(51), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\061' + chr(48), 413 - 405), ehT0Px3KOsy9(chr(753 - 705) + chr(0b100000 + 0o117) + '\061' + chr(1030 - 977) + chr(0b110010), 7747 - 7739), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(49) + chr(403 - 349), 56962 - 56954), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b101111 + 0o10) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b1 + 0o66) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(55) + chr(637 - 585), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1879 - 1830) + chr(0b101111 + 0o7) + chr(0b110011 + 0o3), 0b1000), ehT0Px3KOsy9('\x30' + chr(3439 - 3328) + chr(2614 - 2560) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(0b101001 + 0o14) + chr(0b110101), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(1905 - 1857) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1100 + 0o45) + chr(0b100000 + 0o21), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\065' + chr(233 - 182), ord("\x08")), ehT0Px3KOsy9(chr(543 - 495) + chr(111) + '\066' + chr(55), 14165 - 14157), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(50) + '\x32' + '\064', 47681 - 47673), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(995 - 943) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(55) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(576 - 525) + chr(0b110101) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\x32' + chr(53), 54021 - 54013), ehT0Px3KOsy9('\x30' + chr(0b100011 + 0o114) + chr(55) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1360 - 1249) + chr(49) + '\x35' + chr(0b110010), 8), ehT0Px3KOsy9(chr(602 - 554) + chr(0b1101111) + chr(0b101 + 0o55) + chr(0b110001) + '\x36', 8), ehT0Px3KOsy9(chr(906 - 858) + '\x6f' + chr(1877 - 1826) + chr(0b110010) + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(8791 - 8680) + chr(50) + chr(0b110000) + chr(0b110001 + 0o3), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1334 - 1286) + '\157' + chr(0b110101) + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6'), chr(0b1110 + 0o126) + '\x65' + chr(5822 - 5723) + chr(0b10100 + 0o133) + chr(0b11011 + 0o111) + chr(0b1100101))(chr(0b1110101) + '\x74' + '\x66' + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def jHQgtlDNFkuG(oVre8I6UXc3b, kVFRD544hi_1, JsZ36NJUqtml, h_MwKIdeQ6Ce=-ehT0Px3KOsy9(chr(48) + chr(0b101000 + 0o107) + chr(2086 - 2037), ord("\x08"))):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb\x083\x17\x93K\xd8\x89\x18N\x16\x87'), chr(100) + '\x65' + '\x63' + chr(11586 - 11475) + chr(0b101111 + 0o65) + '\x65')(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xffZ\x15\n\x94I\xcb\xdb-F-\x98e\x19\xd9\x8d\x88\xe35\xe7\xdeG\x99\x05'), chr(4234 - 4134) + '\x65' + chr(99) + chr(0b1010 + 0o145) + chr(100) + chr(6542 - 6441))('\x75' + chr(10501 - 10385) + '\146' + '\x2d' + chr(0b111000)) % h_MwKIdeQ6Ce)
hoK3K1TwFlkr = oVre8I6UXc3b.get_or_create_vocab(kVFRD544hi_1, JsZ36NJUqtml)
assert h_MwKIdeQ6Ce >= ehT0Px3KOsy9(chr(48) + '\157' + '\060', 0b1000) and h_MwKIdeQ6Ce < xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6J\x160\x81M\xd1\xdb\x00C8\x89[M\xcc\x9f\x90\xfb'), '\144' + '\x65' + '\143' + '\x6f' + chr(100) + '\145')(chr(117) + '\x74' + chr(7567 - 7465) + chr(45) + chr(0b111000)))
if h_MwKIdeQ6Ce < xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6J\x160\x92Z\xde\xd7\x1c}?\x84eK\xc9\x9f'), '\x64' + chr(101) + chr(0b1100011) + chr(0b1101111) + '\144' + '\145')(chr(117) + chr(11881 - 11765) + chr(0b1100110) + chr(0b101101) + '\070')):
U8wA4lU_TKCc = oVre8I6UXc3b.training_filepaths(kVFRD544hi_1, oVre8I6UXc3b.num_train_shards, shuffled=ehT0Px3KOsy9('\060' + '\x6f' + '\060', 8))[h_MwKIdeQ6Ce]
else:
U8wA4lU_TKCc = oVre8I6UXc3b.dev_filepaths(kVFRD544hi_1, oVre8I6UXc3b.num_dev_shards, shuffled=ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(1016 - 968), 8))[h_MwKIdeQ6Ce - oVre8I6UXc3b.num_train_shards]
xafqLlk3kkUe(g1Z_RG9zP4cD, xafqLlk3kkUe(SXOLrMavuUCe(b'\xffZ\x15\n\x94I\xcb\xdb-D%\x80aJ'), chr(8415 - 8315) + chr(4292 - 4191) + '\143' + '\x6f' + '\144' + '\145')('\165' + chr(0b1010110 + 0o36) + chr(0b111010 + 0o54) + chr(0b1000 + 0o45) + '\070'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6e\x0f&\xbcn\xda\xd56R(\xa0'), '\x64' + chr(0b1 + 0o144) + chr(99) + chr(0b100010 + 0o115) + chr(0b1100100) + chr(624 - 523))(chr(6449 - 6332) + '\x74' + '\146' + '\x2d' + chr(56)))(hoK3K1TwFlkr, JsZ36NJUqtml, h_MwKIdeQ6Ce), [U8wA4lU_TKCc])
xafqLlk3kkUe(g1Z_RG9zP4cD, xafqLlk3kkUe(SXOLrMavuUCe(b'\xebW\x0e\t\x80D\xda\xe1\x16C8\x8dw\\\xd9'), chr(0b1100100) + chr(5587 - 5486) + '\x63' + '\x6f' + chr(0b1100100) + '\x65')(chr(0b101 + 0o160) + '\x74' + chr(0b110100 + 0o62) + chr(1821 - 1776) + chr(0b110100 + 0o4)))([U8wA4lU_TKCc])
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/models/resnet.py
|
ConvBlock
|
def ConvBlock(kernel_size, filters, strides):
"""ResNet convolutional striding block."""
ks = kernel_size
filters1, filters2, filters3 = filters
main = layers.Serial(
layers.Conv(filters1, (1, 1), strides),
layers.BatchNorm(),
layers.Relu(),
layers.Conv(filters2, (ks, ks), padding='SAME'),
layers.BatchNorm(),
layers.Relu(),
layers.Conv(filters3, (1, 1)),
layers.BatchNorm()
)
shortcut = layers.Serial(
layers.Conv(filters3, (1, 1), strides),
layers.BatchNorm()
)
return layers.Serial(
layers.Branch(),
layers.Parallel(main, shortcut),
layers.SumBranches(),
layers.Relu()
)
|
python
|
def ConvBlock(kernel_size, filters, strides):
"""ResNet convolutional striding block."""
ks = kernel_size
filters1, filters2, filters3 = filters
main = layers.Serial(
layers.Conv(filters1, (1, 1), strides),
layers.BatchNorm(),
layers.Relu(),
layers.Conv(filters2, (ks, ks), padding='SAME'),
layers.BatchNorm(),
layers.Relu(),
layers.Conv(filters3, (1, 1)),
layers.BatchNorm()
)
shortcut = layers.Serial(
layers.Conv(filters3, (1, 1), strides),
layers.BatchNorm()
)
return layers.Serial(
layers.Branch(),
layers.Parallel(main, shortcut),
layers.SumBranches(),
layers.Relu()
)
|
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] |
ResNet convolutional striding block.
|
[
"ResNet",
"convolutional",
"striding",
"block",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/models/resnet.py#L25-L48
|
train
|
ResNet convolutional striding block.
|
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) + chr(50) + chr(716 - 668) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8050 - 7939) + chr(0b110011) + chr(51) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b110010 + 0o1) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(0b100100 + 0o23) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1011110 + 0o21) + chr(51) + chr(0b101000 + 0o15) + '\064', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(1159 - 1107) + chr(0b110010), 61054 - 61046), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\x34', 24670 - 24662), ehT0Px3KOsy9(chr(48) + chr(9445 - 9334) + '\066' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100 + 0o143) + chr(2466 - 2416) + chr(0b1 + 0o57) + chr(0b101101 + 0o3), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(1848 - 1799) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1552 - 1501) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(55), 0o10), ehT0Px3KOsy9(chr(1408 - 1360) + '\157' + '\061' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(1603 - 1550) + chr(0b11001 + 0o36), ord("\x08")), ehT0Px3KOsy9(chr(237 - 189) + chr(0b111 + 0o150) + '\x32' + chr(0b101 + 0o55) + chr(0b100100 + 0o17), 38456 - 38448), ehT0Px3KOsy9(chr(1425 - 1377) + chr(9547 - 9436) + chr(1085 - 1034) + '\x35' + '\x34', 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b1111 + 0o43) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(9265 - 9154) + '\063' + chr(1438 - 1386) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + '\x31' + '\x34', 8), ehT0Px3KOsy9(chr(48) + chr(3125 - 3014) + chr(51) + chr(478 - 423), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(0b110100) + chr(0b100001 + 0o26), 0o10), ehT0Px3KOsy9('\x30' + chr(0b10011 + 0o134) + chr(0b110011) + '\x37' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(2149 - 2101) + '\x6f' + chr(1815 - 1765) + chr(49) + chr(1297 - 1249), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101001 + 0o106) + '\063' + '\063' + '\067', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(1595 - 1547) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + '\065' + '\x37', 6318 - 6310), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101000 + 0o7) + chr(2486 - 2436) + chr(0b110001) + chr(0b101000 + 0o12), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b100110 + 0o20) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\061' + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(11025 - 10914) + chr(50) + chr(2026 - 1974) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + '\x33' + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1309 - 1258) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(1956 - 1908) + chr(111) + '\061' + '\x33' + chr(2486 - 2433), 60054 - 60046), ehT0Px3KOsy9(chr(838 - 790) + '\x6f' + chr(0b10111 + 0o32) + chr(1077 - 1023) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(6535 - 6424) + chr(2255 - 2206) + chr(0b111 + 0o54) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000011 + 0o54) + chr(335 - 285) + chr(0b11101 + 0o24) + chr(2665 - 2613), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100001 + 0o16) + '\064' + chr(0b101101 + 0o11), ord("\x08")), ehT0Px3KOsy9(chr(1265 - 1217) + '\x6f' + '\063' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1064 - 953) + '\x33' + chr(55) + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(9822 - 9711) + chr(1156 - 1105) + '\065' + '\064', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1030 - 977) + chr(0b11110 + 0o22), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xab'), chr(100) + '\x65' + '\x63' + '\x6f' + chr(0b10111 + 0o115) + chr(0b101101 + 0o70))(chr(0b110011 + 0o102) + chr(116) + chr(0b1100110) + chr(0b101101 + 0o0) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZA3hmwyDcHOO(m6gwVXy4D3Au, MErh319F3bgE, r8knJmMTTKwv):
yuVDk3mk5GVl = m6gwVXy4D3Au
(I5w6L6zhkskH, _UEVl_zeBaEW, o8Lf1TXliB6i) = MErh319F3bgE
PGNrezus7XpS = sGi5Aql23May.Serial(sGi5Aql23May.Conv(I5w6L6zhkskH, (ehT0Px3KOsy9(chr(2062 - 2014) + chr(111) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(49), 8)), r8knJmMTTKwv), sGi5Aql23May.BatchNorm(), sGi5Aql23May.Relu(), sGi5Aql23May.Conv(_UEVl_zeBaEW, (yuVDk3mk5GVl, yuVDk3mk5GVl), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6\x99\xd1?'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(11934 - 11823) + chr(0b111111 + 0o45) + '\x65')(chr(0b1110101) + chr(116) + chr(0b10000 + 0o126) + '\055' + '\070')), sGi5Aql23May.BatchNorm(), sGi5Aql23May.Relu(), sGi5Aql23May.Conv(o8Lf1TXliB6i, (ehT0Px3KOsy9('\060' + chr(0b1100011 + 0o14) + '\x31', 8), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + '\061', 8))), sGi5Aql23May.BatchNorm())
c4rbmmlcdkTg = sGi5Aql23May.Serial(sGi5Aql23May.Conv(o8Lf1TXliB6i, (ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100011 + 0o16), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\061', 8)), r8knJmMTTKwv), sGi5Aql23May.BatchNorm())
return xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6\xbd\xee\x13\x8d\x8e'), '\x64' + chr(0b1100101) + chr(0b100001 + 0o102) + chr(111) + chr(0b1111 + 0o125) + chr(101))('\x75' + chr(0b11011 + 0o131) + '\146' + '\055' + '\x38'))(xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\xaa\xfd\x14\x8f\x8a'), chr(0b10010 + 0o122) + '\x65' + chr(0b1100011) + chr(7585 - 7474) + chr(0b1001010 + 0o32) + '\145')(chr(0b1110101) + '\164' + chr(102) + chr(0b101101) + chr(0b100111 + 0o21)))(), xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\xb9\xee\x1b\x80\x8eiY'), chr(100) + chr(586 - 485) + '\143' + chr(111) + '\144' + chr(101))('\165' + '\x74' + chr(0b1100110) + '\055' + chr(0b111000)))(PGNrezus7XpS, c4rbmmlcdkTg), xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6\xad\xf18\x9e\x83bV\xe8-m'), '\x64' + chr(0b1100101) + chr(0b111011 + 0o50) + '\157' + chr(100) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + '\070'))(), xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7\xbd\xf0\x0f'), chr(9938 - 9838) + '\x65' + chr(743 - 644) + chr(589 - 478) + '\x64' + '\x65')('\165' + '\x74' + chr(102) + chr(1307 - 1262) + chr(1810 - 1754)))())
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/models/resnet.py
|
IdentityBlock
|
def IdentityBlock(kernel_size, filters):
"""ResNet identical size block."""
ks = kernel_size
filters1, filters2, filters3 = filters
main = layers.Serial(
layers.Conv(filters1, (1, 1)),
layers.BatchNorm(),
layers.Relu(),
layers.Conv(filters2, (ks, ks), padding='SAME'),
layers.BatchNorm(),
layers.Relu(),
layers.Conv(filters3, (1, 1)),
layers.BatchNorm()
)
return layers.Serial(
layers.Branch(),
layers.Parallel(main, layers.Identity()),
layers.SumBranches(),
layers.Relu()
)
|
python
|
def IdentityBlock(kernel_size, filters):
"""ResNet identical size block."""
ks = kernel_size
filters1, filters2, filters3 = filters
main = layers.Serial(
layers.Conv(filters1, (1, 1)),
layers.BatchNorm(),
layers.Relu(),
layers.Conv(filters2, (ks, ks), padding='SAME'),
layers.BatchNorm(),
layers.Relu(),
layers.Conv(filters3, (1, 1)),
layers.BatchNorm()
)
return layers.Serial(
layers.Branch(),
layers.Parallel(main, layers.Identity()),
layers.SumBranches(),
layers.Relu()
)
|
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] |
ResNet identical size block.
|
[
"ResNet",
"identical",
"size",
"block",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/models/resnet.py#L51-L70
|
train
|
ResNet identical size block.
|
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) + '\065' + chr(0b110111), 28362 - 28354), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(48) + chr(0b11110 + 0o26), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(827 - 776) + chr(52) + chr(1388 - 1338), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11031 - 10920) + chr(0b10101 + 0o36) + chr(53) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1590 - 1539) + chr(117 - 67), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1001 + 0o146) + '\061' + chr(0b1101 + 0o50) + chr(1995 - 1947), 2501 - 2493), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + chr(2099 - 2045) + chr(367 - 319), 7308 - 7300), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1010010 + 0o35) + chr(0b100101 + 0o15) + chr(1209 - 1155) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\x30' + chr(2130 - 2082), 26013 - 26005), ehT0Px3KOsy9(chr(1475 - 1427) + chr(4211 - 4100) + chr(0b110001) + chr(0b10011 + 0o40) + chr(0b110111), 64370 - 64362), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10001 + 0o40) + '\060' + chr(931 - 882), 0b1000), ehT0Px3KOsy9(chr(48) + chr(6682 - 6571) + chr(882 - 831) + chr(0b110011) + '\x31', 0o10), ehT0Px3KOsy9(chr(1916 - 1868) + '\x6f' + chr(0b10 + 0o61) + chr(2497 - 2442), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(1613 - 1564) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(4459 - 4348) + '\x35' + chr(0b1010 + 0o54), 0o10), ehT0Px3KOsy9(chr(423 - 375) + '\157' + chr(51) + '\064' + chr(1491 - 1439), ord("\x08")), ehT0Px3KOsy9('\060' + chr(12266 - 12155) + chr(352 - 303) + chr(0b101 + 0o62) + chr(54), 0o10), ehT0Px3KOsy9(chr(324 - 276) + chr(0b1101111) + chr(0b110010) + chr(0b110101) + chr(0b1001 + 0o52), 0b1000), ehT0Px3KOsy9(chr(1201 - 1153) + chr(0b10010 + 0o135) + chr(51) + '\063' + chr(0b110110), 6013 - 6005), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + '\x32' + chr(2673 - 2621), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3784 - 3673) + chr(0b11011 + 0o30) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\x37' + chr(0b100010 + 0o21), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000110 + 0o51) + chr(51) + '\x34' + '\x30', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10011 + 0o40) + chr(0b110010) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001001 + 0o46) + chr(324 - 275) + chr(0b10010 + 0o42) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + '\062' + chr(0b110101) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(3567 - 3456) + '\063' + chr(0b1001 + 0o54) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b10110 + 0o32) + '\x34', 8), ehT0Px3KOsy9(chr(0b110000) + chr(5746 - 5635) + chr(2177 - 2126) + chr(0b110010) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\062' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10649 - 10538) + chr(0b110011) + chr(0b100101 + 0o21) + chr(1545 - 1497), 48785 - 48777), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(48) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(799 - 688) + '\x32' + chr(0b101001 + 0o12) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10011 + 0o134) + '\061' + '\x37' + '\061', 8147 - 8139), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b110110) + chr(0b101000 + 0o14), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b10011 + 0o40) + chr(0b1011 + 0o52), 8), ehT0Px3KOsy9(chr(1013 - 965) + '\x6f' + chr(2222 - 2172) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + chr(6892 - 6781) + chr(645 - 596) + chr(0b110001 + 0o5), 0b1000), ehT0Px3KOsy9(chr(1703 - 1655) + '\x6f' + chr(392 - 341) + chr(2143 - 2095) + chr(0b1101 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(2290 - 2242) + chr(9128 - 9017) + chr(0b110001) + chr(0b110011) + chr(0b110100), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(53) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x01'), chr(0b100101 + 0o77) + '\145' + chr(99) + chr(1899 - 1788) + chr(0b1100100) + chr(0b111001 + 0o54))('\x75' + chr(0b1001110 + 0o46) + chr(0b1001 + 0o135) + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def m5mHLqjoQglf(m6gwVXy4D3Au, MErh319F3bgE):
yuVDk3mk5GVl = m6gwVXy4D3Au
(I5w6L6zhkskH, _UEVl_zeBaEW, o8Lf1TXliB6i) = MErh319F3bgE
PGNrezus7XpS = sGi5Aql23May.Serial(sGi5Aql23May.Conv(I5w6L6zhkskH, (ehT0Px3KOsy9('\x30' + chr(3381 - 3270) + chr(49), 3091 - 3083), ehT0Px3KOsy9(chr(48) + chr(477 - 366) + chr(0b110001), 8))), sGi5Aql23May.BatchNorm(), sGi5Aql23May.Relu(), sGi5Aql23May.Conv(_UEVl_zeBaEW, (yuVDk3mk5GVl, yuVDk3mk5GVl), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'|\x05\xaf\xab'), '\144' + chr(1851 - 1750) + '\x63' + '\157' + chr(100) + chr(0b1100101))(chr(117) + '\x74' + '\146' + chr(0b101101) + chr(56))), sGi5Aql23May.BatchNorm(), sGi5Aql23May.Relu(), sGi5Aql23May.Conv(o8Lf1TXliB6i, (ehT0Px3KOsy9(chr(1643 - 1595) + chr(0b11110 + 0o121) + '\x31', 8), ehT0Px3KOsy9(chr(513 - 465) + chr(111) + chr(0b110001), 8))), sGi5Aql23May.BatchNorm())
return xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'|!\x90\x87{\x04'), chr(0b1100100) + chr(5245 - 5144) + chr(0b1100011) + chr(0b100110 + 0o111) + '\144' + chr(101))('\x75' + chr(1344 - 1228) + '\x66' + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'm6\x83\x80y\x00'), chr(0b1010011 + 0o21) + chr(9336 - 9235) + chr(0b100100 + 0o77) + chr(0b1101001 + 0o6) + '\x64' + '\145')(chr(117) + chr(12301 - 12185) + chr(10327 - 10225) + '\055' + chr(56)))(), xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f%\x90\x8fv\x04U\xd9'), '\x64' + '\x65' + '\143' + chr(111) + chr(0b11100 + 0o110) + chr(5079 - 4978))('\x75' + chr(0b11100 + 0o130) + chr(0b110011 + 0o63) + '\x2d' + '\x38'))(PGNrezus7XpS, xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'f \x87\x80n\x01D\xcc'), chr(3518 - 3418) + chr(0b1100101) + '\143' + chr(6866 - 6755) + '\144' + chr(0b1001001 + 0o34))('\165' + chr(0b1001110 + 0o46) + '\x66' + chr(677 - 632) + '\x38'))()), xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'|1\x8f\xach\t^\xd6\xa8:2'), chr(100) + '\145' + chr(2630 - 2531) + chr(5315 - 5204) + '\x64' + '\145')(chr(2204 - 2087) + chr(4152 - 4036) + '\x66' + chr(1255 - 1210) + chr(252 - 196)))(), xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'}!\x8e\x9b'), '\144' + chr(0b1000011 + 0o42) + chr(6506 - 6407) + '\x6f' + '\144' + chr(3804 - 3703))('\165' + chr(116) + chr(0b11000 + 0o116) + '\x2d' + '\x38'))())
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/models/resnet.py
|
Resnet50
|
def Resnet50(hidden_size=64, num_output_classes=1001, mode='train'):
"""ResNet.
Args:
hidden_size: the size of the first hidden layer (multiplied later).
num_output_classes: how many classes to distinguish.
mode: whether we are training or evaluating or doing inference.
Returns:
The ResNet model with the given layer and output sizes.
"""
del mode
return layers.Serial(
layers.Conv(hidden_size, (7, 7), (2, 2), 'SAME'),
layers.BatchNorm(), layers.Relu(),
layers.MaxPool(pool_size=(3, 3), strides=(2, 2)),
ConvBlock(3, [hidden_size, hidden_size, 4 * hidden_size], (1, 1)),
IdentityBlock(3, [hidden_size, hidden_size, 4 * hidden_size]),
IdentityBlock(3, [hidden_size, hidden_size, 4 * hidden_size]),
ConvBlock(3, [2 * hidden_size, 2 * hidden_size, 8 * hidden_size], (2, 2)),
IdentityBlock(3, [2 * hidden_size, 2 * hidden_size, 8 * hidden_size]),
IdentityBlock(3, [2 * hidden_size, 2 * hidden_size, 8 * hidden_size]),
IdentityBlock(3, [2 * hidden_size, 2 * hidden_size, 8 * hidden_size]),
ConvBlock(3, [4 * hidden_size, 4 * hidden_size, 16*hidden_size], (2, 2)),
IdentityBlock(3, [4 * hidden_size, 4 * hidden_size, 16 * hidden_size]),
IdentityBlock(3, [4 * hidden_size, 4 * hidden_size, 16 * hidden_size]),
IdentityBlock(3, [4 * hidden_size, 4 * hidden_size, 16 * hidden_size]),
IdentityBlock(3, [4 * hidden_size, 4 * hidden_size, 16 * hidden_size]),
IdentityBlock(3, [4 * hidden_size, 4 * hidden_size, 16 * hidden_size]),
ConvBlock(3, [8 * hidden_size, 8 * hidden_size, 32*hidden_size], (2, 2)),
IdentityBlock(3, [8 * hidden_size, 8 * hidden_size, 32 * hidden_size]),
IdentityBlock(3, [8 * hidden_size, 8 * hidden_size, 32 * hidden_size]),
layers.AvgPool(pool_size=(7, 7)), layers.Flatten(),
layers.Dense(num_output_classes), layers.LogSoftmax())
|
python
|
def Resnet50(hidden_size=64, num_output_classes=1001, mode='train'):
"""ResNet.
Args:
hidden_size: the size of the first hidden layer (multiplied later).
num_output_classes: how many classes to distinguish.
mode: whether we are training or evaluating or doing inference.
Returns:
The ResNet model with the given layer and output sizes.
"""
del mode
return layers.Serial(
layers.Conv(hidden_size, (7, 7), (2, 2), 'SAME'),
layers.BatchNorm(), layers.Relu(),
layers.MaxPool(pool_size=(3, 3), strides=(2, 2)),
ConvBlock(3, [hidden_size, hidden_size, 4 * hidden_size], (1, 1)),
IdentityBlock(3, [hidden_size, hidden_size, 4 * hidden_size]),
IdentityBlock(3, [hidden_size, hidden_size, 4 * hidden_size]),
ConvBlock(3, [2 * hidden_size, 2 * hidden_size, 8 * hidden_size], (2, 2)),
IdentityBlock(3, [2 * hidden_size, 2 * hidden_size, 8 * hidden_size]),
IdentityBlock(3, [2 * hidden_size, 2 * hidden_size, 8 * hidden_size]),
IdentityBlock(3, [2 * hidden_size, 2 * hidden_size, 8 * hidden_size]),
ConvBlock(3, [4 * hidden_size, 4 * hidden_size, 16*hidden_size], (2, 2)),
IdentityBlock(3, [4 * hidden_size, 4 * hidden_size, 16 * hidden_size]),
IdentityBlock(3, [4 * hidden_size, 4 * hidden_size, 16 * hidden_size]),
IdentityBlock(3, [4 * hidden_size, 4 * hidden_size, 16 * hidden_size]),
IdentityBlock(3, [4 * hidden_size, 4 * hidden_size, 16 * hidden_size]),
IdentityBlock(3, [4 * hidden_size, 4 * hidden_size, 16 * hidden_size]),
ConvBlock(3, [8 * hidden_size, 8 * hidden_size, 32*hidden_size], (2, 2)),
IdentityBlock(3, [8 * hidden_size, 8 * hidden_size, 32 * hidden_size]),
IdentityBlock(3, [8 * hidden_size, 8 * hidden_size, 32 * hidden_size]),
layers.AvgPool(pool_size=(7, 7)), layers.Flatten(),
layers.Dense(num_output_classes), layers.LogSoftmax())
|
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] |
ResNet.
Args:
hidden_size: the size of the first hidden layer (multiplied later).
num_output_classes: how many classes to distinguish.
mode: whether we are training or evaluating or doing inference.
Returns:
The ResNet model with the given layer and output sizes.
|
[
"ResNet",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/models/resnet.py#L73-L106
|
train
|
ResNet. ResNet50 model.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1520 - 1472) + '\157' + chr(0b100100 + 0o16) + chr(52) + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + '\060' + chr(0b100110 + 0o12), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011001 + 0o26) + chr(0b110001) + '\067' + chr(2657 - 2605), ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b110101 + 0o72) + '\x33' + chr(0b11000 + 0o37) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11111 + 0o24) + '\061' + chr(0b10011 + 0o36), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101101 + 0o2) + chr(1895 - 1845) + '\x34' + chr(53), 0o10), ehT0Px3KOsy9(chr(1475 - 1427) + chr(0b1011111 + 0o20) + chr(0b10100 + 0o36) + chr(1864 - 1816) + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\x32' + chr(0b110100), 44252 - 44244), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(55) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + chr(0b100000 + 0o21) + '\065' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(670 - 622) + chr(4007 - 3896) + chr(54) + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(12216 - 12105) + '\061' + chr(1212 - 1160) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010010 + 0o35) + chr(0b110011) + chr(0b110010 + 0o0) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1332 - 1284) + chr(0b100001 + 0o116) + chr(0b100000 + 0o21) + '\x32' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\061' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + '\061' + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100011 + 0o14) + '\063' + chr(49) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6731 - 6620) + chr(1204 - 1154) + '\067' + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010110 + 0o31) + chr(51) + chr(53) + chr(48), 0o10), ehT0Px3KOsy9(chr(103 - 55) + '\157' + '\x32' + chr(0b110110), 65018 - 65010), ehT0Px3KOsy9('\x30' + chr(0b1101010 + 0o5) + chr(54) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\061' + chr(470 - 422), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(9409 - 9298) + chr(0b110010) + '\061' + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(1331 - 1282) + chr(0b110011 + 0o2), 0o10), ehT0Px3KOsy9(chr(48) + chr(2838 - 2727) + '\x31' + chr(1957 - 1905) + chr(51), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10101 + 0o35) + chr(2208 - 2158) + '\x30', 12083 - 12075), ehT0Px3KOsy9(chr(48) + chr(4279 - 4168) + chr(703 - 654) + '\x30' + '\066', 44784 - 44776), ehT0Px3KOsy9(chr(447 - 399) + chr(0b1000000 + 0o57) + chr(0b110010) + chr(55) + '\067', 8), ehT0Px3KOsy9(chr(48) + chr(11592 - 11481) + chr(51) + chr(0b110101) + chr(1915 - 1862), 2470 - 2462), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10011 + 0o37) + chr(48) + '\x36', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b110000) + chr(998 - 950), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11111 + 0o22) + '\x31' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + chr(240 - 191) + chr(0b110000 + 0o4) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110010 + 0o75) + chr(0b11011 + 0o30) + '\x31' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x35' + chr(52), 0o10), ehT0Px3KOsy9(chr(1250 - 1202) + '\x6f' + '\061' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(51) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5268 - 5157) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110111) + chr(0b10 + 0o61), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(0b110101) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d'), '\x64' + chr(0b1011101 + 0o10) + '\x63' + chr(0b1001 + 0o146) + chr(0b1100100) + chr(0b100100 + 0o101))(chr(0b10111 + 0o136) + '\x74' + chr(0b10100 + 0o122) + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def suGUh_0pC1b7(qzoyXN3kdhDL=ehT0Px3KOsy9(chr(123 - 75) + chr(111) + chr(0b100001 + 0o20) + chr(0b11111 + 0o21) + chr(1751 - 1703), 8), o1MPieaI0OA6=ehT0Px3KOsy9('\060' + chr(4214 - 4103) + chr(49) + chr(0b100 + 0o63) + chr(0b1110 + 0o47) + chr(1395 - 1346), ord("\x08")), holLFgwB7vsP=xafqLlk3kkUe(SXOLrMavuUCe(b'\xd72\x1d\x91\xa7'), chr(2394 - 2294) + chr(101) + '\143' + chr(111) + chr(0b1100100) + chr(885 - 784))(chr(117) + '\164' + chr(8994 - 8892) + '\055' + '\x38')):
del holLFgwB7vsP
return xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0%\x0e\x91\xa8\xc9'), '\144' + chr(9577 - 9476) + chr(99) + '\x6f' + chr(100) + chr(0b101110 + 0o67))('\165' + chr(116) + '\146' + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0/\x12\x8e'), chr(0b1110 + 0o126) + chr(0b1011101 + 0o10) + chr(4872 - 4773) + '\x6f' + chr(0b1100100) + chr(0b110 + 0o137))(chr(0b1011000 + 0o35) + '\164' + chr(8509 - 8407) + chr(0b101101) + chr(783 - 727)))(qzoyXN3kdhDL, (ehT0Px3KOsy9(chr(48) + '\x6f' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(11085 - 10974) + chr(55), 8)), (ehT0Px3KOsy9('\x30' + chr(3594 - 3483) + chr(0b10111 + 0o33), ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(10010 - 9899) + chr(640 - 590), 8)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\x011\xbd'), chr(100) + chr(0b1100101) + chr(0b1010111 + 0o14) + '\157' + chr(100) + chr(6882 - 6781))(chr(0b1011110 + 0o27) + chr(0b11010 + 0o132) + chr(102) + chr(353 - 308) + chr(1271 - 1215))), xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1!\x08\x9b\xa1\xeb\xe9\xa6\xd2'), '\144' + chr(8618 - 8517) + chr(7575 - 7476) + chr(0b100011 + 0o114) + chr(0b1100100) + '\145')('\x75' + chr(0b10011 + 0o141) + chr(0b101100 + 0o72) + '\x2d' + chr(3136 - 3080)))(), xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1%\x10\x8d'), '\144' + '\x65' + chr(0b1100011) + '\x6f' + '\144' + '\145')(chr(12586 - 12469) + '\164' + chr(102) + '\x2d' + '\x38'))(), xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'\xee!\x04\xa8\xa6\xca\xea'), '\144' + '\x65' + chr(4755 - 4656) + '\x6f' + '\144' + chr(101))('\165' + chr(0b1100110 + 0o16) + '\146' + chr(1148 - 1103) + chr(0b111000)))(pool_size=(ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(4515 - 4404) + chr(51), 8)), strides=(ehT0Px3KOsy9(chr(0b110000) + chr(5164 - 5053) + chr(640 - 590), 8), ehT0Px3KOsy9(chr(48) + chr(2653 - 2542) + '\x32', 8))), ZA3hmwyDcHOO(ehT0Px3KOsy9(chr(48) + chr(0b1001011 + 0o44) + chr(1404 - 1353), 8), [qzoyXN3kdhDL, qzoyXN3kdhDL, ehT0Px3KOsy9(chr(48) + chr(0b1000110 + 0o51) + '\064', 8) * qzoyXN3kdhDL], (ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + '\x31', 40245 - 40237), ehT0Px3KOsy9('\060' + '\157' + chr(49), 8))), m5mHLqjoQglf(ehT0Px3KOsy9(chr(123 - 75) + chr(0b100 + 0o153) + chr(51), 8), [qzoyXN3kdhDL, qzoyXN3kdhDL, ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011 + 0o1), 8) * qzoyXN3kdhDL]), m5mHLqjoQglf(ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1100 + 0o47), 8), [qzoyXN3kdhDL, qzoyXN3kdhDL, ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110100), 8) * qzoyXN3kdhDL]), ZA3hmwyDcHOO(ehT0Px3KOsy9(chr(48) + '\x6f' + '\063', 8), [ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(1625 - 1514) + chr(2218 - 2168), 8) * qzoyXN3kdhDL, ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062', 8) * qzoyXN3kdhDL, ehT0Px3KOsy9(chr(0b110000) + chr(5649 - 5538) + chr(0b110001) + '\x30', 0b1000) * qzoyXN3kdhDL], (ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010), 8))), m5mHLqjoQglf(ehT0Px3KOsy9(chr(1519 - 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|
tensorflow/tensor2tensor
|
tensor2tensor/trax/models/resnet.py
|
WideResnetBlock
|
def WideResnetBlock(channels, strides=(1, 1), channel_mismatch=False):
"""WideResnet convolutational block."""
main = layers.Serial(layers.BatchNorm(), layers.Relu(),
layers.Conv(channels, (3, 3), strides, padding='SAME'),
layers.BatchNorm(), layers.Relu(),
layers.Conv(channels, (3, 3), padding='SAME'))
shortcut = layers.Identity() if not channel_mismatch else layers.Conv(
channels, (3, 3), strides, padding='SAME')
return layers.Serial(
layers.Branch(), layers.Parallel(main, shortcut), layers.SumBranches())
|
python
|
def WideResnetBlock(channels, strides=(1, 1), channel_mismatch=False):
"""WideResnet convolutational block."""
main = layers.Serial(layers.BatchNorm(), layers.Relu(),
layers.Conv(channels, (3, 3), strides, padding='SAME'),
layers.BatchNorm(), layers.Relu(),
layers.Conv(channels, (3, 3), padding='SAME'))
shortcut = layers.Identity() if not channel_mismatch else layers.Conv(
channels, (3, 3), strides, padding='SAME')
return layers.Serial(
layers.Branch(), layers.Parallel(main, shortcut), layers.SumBranches())
|
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] |
WideResnet convolutational block.
|
[
"WideResnet",
"convolutational",
"block",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/models/resnet.py#L109-L118
|
train
|
WideResnet convolutational block.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(625 - 577) + chr(9176 - 9065) + chr(0b110010 + 0o1) + chr(51) + '\x31', 37609 - 37601), ehT0Px3KOsy9(chr(48) + chr(8331 - 8220) + chr(1025 - 976) + chr(48) + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(0b110000) + chr(2251 - 2196), 6990 - 6982), ehT0Px3KOsy9(chr(83 - 35) + '\x6f' + '\x32' + chr(55) + chr(0b0 + 0o67), 0o10), ehT0Px3KOsy9(chr(1469 - 1421) + chr(0b10 + 0o155) + '\063' + '\x32' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101 + 0o142) + chr(49) + chr(0b1 + 0o62), ord("\x08")), ehT0Px3KOsy9(chr(1238 - 1190) + chr(0b1100101 + 0o12) + chr(2232 - 2181) + chr(0b101 + 0o61) + chr(1061 - 1007), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(129 - 78) + '\x31' + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b101111 + 0o6) + '\x35', 0o10), ehT0Px3KOsy9(chr(2033 - 1985) + chr(111) + chr(50) + chr(246 - 196) + chr(0b1111 + 0o44), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + '\x36' + chr(0b100010 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(498 - 450) + chr(7173 - 7062) + chr(0b110011) + '\x36' + chr(0b100100 + 0o23), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(49) + chr(0b110010), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101000 + 0o13) + chr(48), 10655 - 10647), ehT0Px3KOsy9('\060' + chr(11364 - 11253) + chr(591 - 542) + chr(0b11000 + 0o34), 11041 - 11033), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\x30' + chr(184 - 136), 0o10), ehT0Px3KOsy9(chr(559 - 511) + '\157' + '\x36' + chr(1306 - 1254), 60230 - 60222), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(48) + '\x37', 62820 - 62812), ehT0Px3KOsy9(chr(1738 - 1690) + '\x6f' + chr(0b100101 + 0o17) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + chr(679 - 629) + chr(0b110001) + chr(1318 - 1269), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\066' + '\062', 12044 - 12036), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(1400 - 1350) + chr(0b11111 + 0o24), 4389 - 4381), ehT0Px3KOsy9('\060' + chr(5392 - 5281) + '\062' + chr(0b10111 + 0o34) + chr(52), 22685 - 22677), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b100111 + 0o17) + '\066', 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1010 + 0o145) + '\062' + '\063' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(2089 - 2041) + chr(0b1001010 + 0o45) + '\x31' + chr(0b110001) + '\065', 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b11001 + 0o126) + chr(254 - 205) + chr(53) + chr(0b11 + 0o62), 10728 - 10720), ehT0Px3KOsy9('\x30' + chr(9594 - 9483) + '\067' + chr(303 - 254), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110100) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1001100 + 0o43) + chr(53) + '\x33', 59989 - 59981), ehT0Px3KOsy9(chr(1552 - 1504) + chr(3075 - 2964) + chr(49) + chr(51) + chr(0b110000 + 0o0), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11011 + 0o27) + chr(1199 - 1148) + '\062', 38142 - 38134), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101110 + 0o1) + '\063' + chr(1266 - 1217) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\x36' + '\067', 8), ehT0Px3KOsy9('\060' + chr(0b1001 + 0o146) + chr(0b110010) + chr(1065 - 1014) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(3493 - 3382) + chr(0b110 + 0o55) + chr(736 - 688), 8), ehT0Px3KOsy9('\x30' + chr(7267 - 7156) + chr(0b101111 + 0o6), 0o10), ehT0Px3KOsy9('\x30' + chr(859 - 748) + '\x33' + chr(0b110111 + 0o0), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3108 - 2997) + chr(50) + chr(55) + chr(0b100010 + 0o21), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10110 + 0o37) + chr(0b110000), 39597 - 39589)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7'), '\144' + chr(101) + '\143' + '\157' + '\144' + chr(8419 - 8318))(chr(117) + '\164' + '\x66' + chr(0b101101) + chr(2019 - 1963)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def bnljV2WuVtiq(H2MQqAZeamNo, r8knJmMTTKwv=(ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1443 - 1394), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001), 8)), QadbT2zR53KP=ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110000), 0b1000)):
PGNrezus7XpS = sGi5Aql23May.Serial(sGi5Aql23May.BatchNorm(), sGi5Aql23May.Relu(), sGi5Aql23May.Conv(H2MQqAZeamNo, (ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(1870 - 1819), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11001 + 0o126) + chr(0b100011 + 0o20), 8)), r8knJmMTTKwv, padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\x04\n\xfa'), '\144' + chr(0b100010 + 0o103) + chr(2399 - 2300) + '\x6f' + chr(0b111100 + 0o50) + '\145')(chr(0b1100111 + 0o16) + '\164' + '\146' + chr(45) + '\x38')), sGi5Aql23May.BatchNorm(), sGi5Aql23May.Relu(), sGi5Aql23May.Conv(H2MQqAZeamNo, (ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + chr(832 - 781), 8), ehT0Px3KOsy9('\x30' + '\157' + '\063', 8)), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\x04\n\xfa'), '\x64' + '\145' + chr(3989 - 3890) + '\157' + chr(0b1001000 + 0o34) + chr(0b1100101))(chr(117) + chr(0b101100 + 0o110) + chr(9507 - 9405) + '\x2d' + chr(1284 - 1228))))
c4rbmmlcdkTg = sGi5Aql23May.Identity() if not QadbT2zR53KP else sGi5Aql23May.Conv(H2MQqAZeamNo, (ehT0Px3KOsy9('\060' + '\157' + chr(0b1010 + 0o51), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011), 8)), r8knJmMTTKwv, padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\x04\n\xfa'), '\x64' + chr(3826 - 3725) + chr(0b1000110 + 0o35) + '\x6f' + chr(3212 - 3112) + chr(363 - 262))('\x75' + '\164' + chr(0b1100110) + chr(0b1010 + 0o43) + '\070'))
return xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a 5\xd6\xb7g'), chr(100) + '\x65' + chr(0b101100 + 0o67) + chr(0b1101111) + chr(100) + chr(0b1100101))('\165' + chr(0b1110100) + chr(1747 - 1645) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b7&\xd1\xb5c'), '\x64' + '\x65' + chr(0b11000 + 0o113) + '\x6f' + chr(100) + chr(0b1100101))('\165' + chr(0b1110100) + chr(0b10100 + 0o122) + chr(0b11100 + 0o21) + chr(56)))(), xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'\x89$5\xde\xbag\x93\xa6'), chr(0b1011100 + 0o10) + '\x65' + chr(0b1000101 + 0o36) + chr(0b1101111) + chr(100) + chr(0b1010 + 0o133))(chr(117) + chr(0b1000 + 0o154) + chr(7773 - 7671) + '\055' + '\x38'))(PGNrezus7XpS, c4rbmmlcdkTg), xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a0*\xfd\xa4j\x98\xa9\x85\xf6E'), chr(0b1100100) + chr(0b1100101) + chr(6142 - 6043) + chr(0b1100010 + 0o15) + '\x64' + chr(0b1100101))(chr(0b1101111 + 0o6) + chr(116) + chr(0b10110 + 0o120) + chr(0b101101) + chr(2108 - 2052)))())
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/models/resnet.py
|
WideResnet
|
def WideResnet(num_blocks=3, hidden_size=64, num_output_classes=10,
mode='train'):
"""WideResnet from https://arxiv.org/pdf/1605.07146.pdf.
Args:
num_blocks: int, number of blocks in a group.
hidden_size: the size of the first hidden layer (multiplied later).
num_output_classes: int, number of classes to distinguish.
mode: is it training or eval.
Returns:
The WideResnet model with given layer and output sizes.
"""
del mode
return layers.Serial(
layers.Conv(hidden_size, (3, 3), padding='SAME'),
WideResnetGroup(num_blocks, hidden_size),
WideResnetGroup(num_blocks, hidden_size * 2, (2, 2)),
WideResnetGroup(num_blocks, hidden_size * 4, (2, 2)), layers.BatchNorm(),
layers.Relu(), layers.AvgPool(pool_size=(8, 8)), layers.Flatten(),
layers.Dense(num_output_classes), layers.LogSoftmax())
|
python
|
def WideResnet(num_blocks=3, hidden_size=64, num_output_classes=10,
mode='train'):
"""WideResnet from https://arxiv.org/pdf/1605.07146.pdf.
Args:
num_blocks: int, number of blocks in a group.
hidden_size: the size of the first hidden layer (multiplied later).
num_output_classes: int, number of classes to distinguish.
mode: is it training or eval.
Returns:
The WideResnet model with given layer and output sizes.
"""
del mode
return layers.Serial(
layers.Conv(hidden_size, (3, 3), padding='SAME'),
WideResnetGroup(num_blocks, hidden_size),
WideResnetGroup(num_blocks, hidden_size * 2, (2, 2)),
WideResnetGroup(num_blocks, hidden_size * 4, (2, 2)), layers.BatchNorm(),
layers.Relu(), layers.AvgPool(pool_size=(8, 8)), layers.Flatten(),
layers.Dense(num_output_classes), layers.LogSoftmax())
|
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] |
WideResnet from https://arxiv.org/pdf/1605.07146.pdf.
Args:
num_blocks: int, number of blocks in a group.
hidden_size: the size of the first hidden layer (multiplied later).
num_output_classes: int, number of classes to distinguish.
mode: is it training or eval.
Returns:
The WideResnet model with given layer and output sizes.
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/models/resnet.py#L129-L149
|
train
|
WideResnet model from https://arxiv. org / pdf / 1605. 08146. pdf.
|
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(0b101110 + 0o101) + chr(0b110111) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(956 - 905) + chr(1364 - 1311) + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(3852 - 3741) + '\x37' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(603 - 553) + '\060' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101000 + 0o7) + chr(0b110010 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(0b11100 + 0o25) + '\x33' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1249 - 1138) + chr(0b11010 + 0o31) + chr(2324 - 2271) + chr(1730 - 1682), ord("\x08")), ehT0Px3KOsy9(chr(1412 - 1364) + chr(111) + chr(0b110010) + '\063' + chr(238 - 183), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(2437 - 2386) + chr(1332 - 1281) + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(52) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(3282 - 3171) + '\061' + '\064' + chr(0b110101), 2970 - 2962), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\x31' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10101 + 0o132) + chr(0b110010) + chr(295 - 247) + chr(473 - 423), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11235 - 11124) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(463 - 413) + '\x32' + chr(52), 1759 - 1751), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b11100 + 0o33), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b1011 + 0o52) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(11461 - 11350) + '\061' + chr(0b1000 + 0o52) + '\061', 63945 - 63937), ehT0Px3KOsy9(chr(664 - 616) + chr(9629 - 9518) + '\x32' + chr(1701 - 1646) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11011 + 0o26) + chr(0b11011 + 0o27) + chr(2079 - 2029), ord("\x08")), ehT0Px3KOsy9('\060' + chr(486 - 375) + chr(0b110011) + '\x32' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(2237 - 2189) + chr(0b1101111) + chr(0b10001 + 0o40) + '\x30' + '\060', 0b1000), ehT0Px3KOsy9(chr(2095 - 2047) + chr(7856 - 7745) + '\x31' + chr(2144 - 2094) + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(53) + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1111 + 0o43) + '\065', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(428 - 379) + '\x34' + chr(992 - 938), 44965 - 44957), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1266 - 1213) + chr(0b110000 + 0o7), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + chr(980 - 926) + chr(2315 - 2261), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010011 + 0o34) + chr(0b110001 + 0o0) + chr(0b110011) + chr(173 - 119), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1412 - 1362) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(1263 - 1215) + chr(0b1000010 + 0o55) + chr(0b110000 + 0o2) + chr(0b110011) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\065' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(2132 - 2084) + chr(111) + chr(0b110011) + chr(0b110111) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2331 - 2220) + '\061' + '\x31' + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\064' + chr(2453 - 2401), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\066' + chr(252 - 203), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(0b110100) + chr(0b100011 + 0o15), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100001 + 0o26) + chr(0b100100 + 0o15), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\x35' + '\x36', 55037 - 55029)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + chr(272 - 219) + chr(0b11100 + 0o24), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x10'), chr(0b1100100) + '\145' + '\143' + '\157' + '\x64' + '\145')('\x75' + chr(10763 - 10647) + chr(5621 - 5519) + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def JFKYgx4gjDMM(azOnMTJc4Vem=ehT0Px3KOsy9('\060' + chr(10653 - 10542) + chr(1626 - 1575), 32128 - 32120), qzoyXN3kdhDL=ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b110000) + chr(0b110000), 8), o1MPieaI0OA6=ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b110010), 58108 - 58100), holLFgwB7vsP=xafqLlk3kkUe(SXOLrMavuUCe(b'J\x9f]\xe8l'), '\144' + '\x65' + '\143' + chr(4486 - 4375) + chr(0b111 + 0o135) + '\x65')(chr(117) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(56))):
del holLFgwB7vsP
return xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'm\x88N\xe8c3'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(111) + chr(0b1001010 + 0o32) + chr(6490 - 6389))('\x75' + '\x74' + '\x66' + chr(45) + chr(0b111000)))(xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'}\x82R\xf7'), '\x64' + chr(0b111 + 0o136) + chr(0b1100011) + '\157' + chr(0b1001101 + 0o27) + '\x65')(chr(0b110101 + 0o100) + chr(0b10001 + 0o143) + '\146' + chr(0b110 + 0o47) + '\070'))(qzoyXN3kdhDL, (ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011), 8), ehT0Px3KOsy9(chr(465 - 417) + chr(0b11 + 0o154) + '\x33', 8)), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'm\xacq\xc4'), '\144' + '\x65' + chr(4535 - 4436) + '\157' + '\x64' + chr(101))(chr(117) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(0b111000))), Bay1UwbPlf5y(azOnMTJc4Vem, qzoyXN3kdhDL), Bay1UwbPlf5y(azOnMTJc4Vem, qzoyXN3kdhDL * ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10010 + 0o40), 8), (ehT0Px3KOsy9('\x30' + '\157' + '\x32', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(50), 8))), Bay1UwbPlf5y(azOnMTJc4Vem, qzoyXN3kdhDL * ehT0Px3KOsy9('\060' + chr(111) + '\064', 0b1000), (ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(0b110010), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010), 8))), xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'|\x8cH\xe2j\x11\x87\xed\xb0'), '\x64' + '\145' + chr(0b10110 + 0o115) + chr(0b1000001 + 0o56) + chr(3289 - 3189) + chr(0b1010110 + 0o17))(chr(0b1001010 + 0o53) + '\164' + chr(0b1100100 + 0o2) + chr(0b101101) + '\070'))(), xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'l\x88P\xf4'), '\144' + chr(4000 - 3899) + chr(0b1100011) + '\x6f' + chr(9745 - 9645) + '\145')(chr(458 - 341) + chr(0b1010110 + 0o36) + chr(2044 - 1942) + '\055' + chr(0b101010 + 0o16)))(), xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f\x9b[\xd1m0\x84'), chr(100) + chr(0b1100101) + '\x63' + '\157' + chr(4486 - 4386) + chr(101))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(1454 - 1409) + chr(0b110111 + 0o1)))(pool_size=(ehT0Px3KOsy9(chr(0b110000) + chr(10626 - 10515) + chr(0b101 + 0o54) + chr(0b110000), 392 - 384), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101101 + 0o4) + chr(0b110000), 8))), xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'x\x81]\xf5v:\x86'), '\144' + chr(3962 - 3861) + chr(5041 - 4942) + chr(0b1101111) + '\x64' + chr(0b11101 + 0o110))(chr(117) + chr(11412 - 11296) + chr(2371 - 2269) + chr(45) + '\070'))(), xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'z\x88R\xf2g'), chr(0b100 + 0o140) + chr(101) + chr(99) + chr(111) + '\x64' + chr(4509 - 4408))('\165' + chr(6831 - 6715) + chr(0b11011 + 0o113) + '\x2d' + chr(56)))(o1MPieaI0OA6), xafqLlk3kkUe(sGi5Aql23May, xafqLlk3kkUe(SXOLrMavuUCe(b'r\x82[\xd2m9\x9c\xf2\xbc\x9e'), chr(6939 - 6839) + chr(101) + chr(0b1100 + 0o127) + '\x6f' + chr(0b1100100 + 0o0) + '\x65')(chr(0b1110101) + '\x74' + chr(0b1001 + 0o135) + '\055' + chr(56)))())
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/layers/rnn.py
|
GRUCell
|
def GRUCell(units):
"""Builds a traditional GRU cell with dense internal transformations.
Gated Recurrent Unit paper: https://arxiv.org/abs/1412.3555
Args:
units: Number of hidden units.
Returns:
A Stax model representing a traditional GRU RNN cell.
"""
return GeneralGRUCell(
candidate_transform=lambda: core.Dense(units=units),
memory_transform=combinators.Identity,
gate_nonlinearity=core.Sigmoid,
candidate_nonlinearity=core.Tanh)
|
python
|
def GRUCell(units):
"""Builds a traditional GRU cell with dense internal transformations.
Gated Recurrent Unit paper: https://arxiv.org/abs/1412.3555
Args:
units: Number of hidden units.
Returns:
A Stax model representing a traditional GRU RNN cell.
"""
return GeneralGRUCell(
candidate_transform=lambda: core.Dense(units=units),
memory_transform=combinators.Identity,
gate_nonlinearity=core.Sigmoid,
candidate_nonlinearity=core.Tanh)
|
[
"def",
"GRUCell",
"(",
"units",
")",
":",
"return",
"GeneralGRUCell",
"(",
"candidate_transform",
"=",
"lambda",
":",
"core",
".",
"Dense",
"(",
"units",
"=",
"units",
")",
",",
"memory_transform",
"=",
"combinators",
".",
"Identity",
",",
"gate_nonlinearity",
"=",
"core",
".",
"Sigmoid",
",",
"candidate_nonlinearity",
"=",
"core",
".",
"Tanh",
")"
] |
Builds a traditional GRU cell with dense internal transformations.
Gated Recurrent Unit paper: https://arxiv.org/abs/1412.3555
Args:
units: Number of hidden units.
Returns:
A Stax model representing a traditional GRU RNN cell.
|
[
"Builds",
"a",
"traditional",
"GRU",
"cell",
"with",
"dense",
"internal",
"transformations",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/layers/rnn.py#L28-L44
|
train
|
Builds a traditional GRU cell with dense internal transformations.
|
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(380 - 332) + '\x6f' + chr(2188 - 2137) + chr(0b110111) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(11625 - 11514) + chr(0b110001) + chr(55) + '\x30', 0o10), ehT0Px3KOsy9(chr(1594 - 1546) + chr(111) + '\x32' + chr(936 - 885) + '\x36', 24979 - 24971), ehT0Px3KOsy9(chr(2140 - 2092) + chr(111) + '\063' + '\x35' + '\067', 65292 - 65284), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(0b1111 + 0o42) + chr(0b110011) + '\x33', 5649 - 5641), ehT0Px3KOsy9(chr(48) + '\157' + chr(2393 - 2342) + chr(54) + chr(322 - 269), 38693 - 38685), ehT0Px3KOsy9(chr(1094 - 1046) + '\x6f' + chr(248 - 195) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(1728 - 1680) + '\157' + chr(0b1101 + 0o45) + '\x36' + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(11794 - 11683) + '\062' + chr(0b110100 + 0o3) + chr(0b110 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(1714 - 1666) + chr(8323 - 8212) + chr(0b110001) + '\x30' + chr(536 - 485), 0b1000), ehT0Px3KOsy9(chr(1534 - 1486) + chr(4422 - 4311) + chr(0b10101 + 0o41) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\062' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(584 - 533), 0b1000), ehT0Px3KOsy9(chr(945 - 897) + chr(3806 - 3695) + chr(0b10010 + 0o37) + '\064' + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(1797 - 1742), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + chr(390 - 338) + chr(322 - 268), 0b1000), ehT0Px3KOsy9(chr(1507 - 1459) + '\157' + '\061' + '\062' + chr(165 - 111), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(0b10111 + 0o33) + chr(1483 - 1431) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(53) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001 + 0o0) + chr(0b110010) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b110100) + chr(0b101111 + 0o7), 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b101 + 0o152) + chr(0b110010) + chr(55) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1788 - 1739) + chr(53) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + chr(0b110100) + chr(0b110110), 8), ehT0Px3KOsy9('\060' + chr(9947 - 9836) + '\062' + '\x35', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(2340 - 2289) + '\x33' + chr(122 - 72), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100 + 0o143) + '\062' + '\x30' + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000000 + 0o57) + chr(0b10111 + 0o32) + chr(0b110101) + chr(48), 63205 - 63197), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(1174 - 1120) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + '\061' + '\x31' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10817 - 10706) + '\x33' + '\x32' + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b110010) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1063 - 952) + chr(208 - 158) + chr(759 - 710) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3733 - 3622) + '\062' + chr(52) + chr(49), 44374 - 44366), ehT0Px3KOsy9('\060' + chr(10864 - 10753) + '\065' + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(7479 - 7368) + chr(50) + chr(51) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(1043 - 995) + chr(0b1101111) + '\061', 0b1000), ehT0Px3KOsy9(chr(735 - 687) + '\157' + chr(717 - 666) + '\061' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + '\062' + chr(0b10101 + 0o41) + chr(916 - 864), 37716 - 37708)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1902 - 1854) + chr(0b1101111) + '\x35' + chr(0b10111 + 0o31), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6'), chr(0b1010001 + 0o23) + chr(101) + chr(99) + '\157' + chr(0b1000001 + 0o43) + '\x65')(chr(0b1110101) + '\x74' + chr(1135 - 1033) + chr(395 - 350) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Uwh2Z3EhygWM(pMSSZNED5Vsi):
return sIpUGNzm81q3(candidate_transform=lambda : xafqLlk3kkUe(d9fhmi4XXZ1X, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x1d\xf0\x9c>'), '\144' + chr(101) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(10199 - 10098))(chr(12944 - 12827) + '\164' + chr(0b1100110) + chr(1581 - 1536) + '\x38'))(units=pMSSZNED5Vsi), memory_transform=xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\x1c\xfb\x81/\x9c]\xc8'), chr(100) + chr(2062 - 1961) + chr(0b1100011) + chr(111) + chr(100) + '\x65')(chr(11297 - 11180) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(0b111000))), gate_nonlinearity=xafqLlk3kkUe(d9fhmi4XXZ1X, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\x11\xf9\x824\x9cM'), chr(0b111001 + 0o53) + chr(4408 - 4307) + '\x63' + chr(111) + '\x64' + chr(0b1100101))('\165' + chr(0b11111 + 0o125) + '\146' + chr(45) + chr(0b111000))), candidate_nonlinearity=xafqLlk3kkUe(d9fhmi4XXZ1X, xafqLlk3kkUe(SXOLrMavuUCe(b'\xac\x19\xf0\x87'), '\x64' + chr(101) + chr(99) + '\157' + chr(0b110001 + 0o63) + '\x65')(chr(117) + '\164' + chr(0b110101 + 0o61) + chr(0b1111 + 0o36) + chr(601 - 545))))
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/layers/rnn.py
|
ConvGRUCell
|
def ConvGRUCell(units, kernel_size=(3, 3)):
"""Builds a convolutional GRU.
Paper: https://arxiv.org/abs/1511.06432.
Args:
units: Number of hidden units
kernel_size: Kernel size for convolution
Returns:
A Stax model representing a GRU cell with convolution transforms.
"""
def BuildConv():
return core.Conv(filters=units, kernel_size=kernel_size, padding='SAME')
return GeneralGRUCell(
candidate_transform=BuildConv,
memory_transform=combinators.Identity,
gate_nonlinearity=core.Sigmoid,
candidate_nonlinearity=core.Tanh)
|
python
|
def ConvGRUCell(units, kernel_size=(3, 3)):
"""Builds a convolutional GRU.
Paper: https://arxiv.org/abs/1511.06432.
Args:
units: Number of hidden units
kernel_size: Kernel size for convolution
Returns:
A Stax model representing a GRU cell with convolution transforms.
"""
def BuildConv():
return core.Conv(filters=units, kernel_size=kernel_size, padding='SAME')
return GeneralGRUCell(
candidate_transform=BuildConv,
memory_transform=combinators.Identity,
gate_nonlinearity=core.Sigmoid,
candidate_nonlinearity=core.Tanh)
|
[
"def",
"ConvGRUCell",
"(",
"units",
",",
"kernel_size",
"=",
"(",
"3",
",",
"3",
")",
")",
":",
"def",
"BuildConv",
"(",
")",
":",
"return",
"core",
".",
"Conv",
"(",
"filters",
"=",
"units",
",",
"kernel_size",
"=",
"kernel_size",
",",
"padding",
"=",
"'SAME'",
")",
"return",
"GeneralGRUCell",
"(",
"candidate_transform",
"=",
"BuildConv",
",",
"memory_transform",
"=",
"combinators",
".",
"Identity",
",",
"gate_nonlinearity",
"=",
"core",
".",
"Sigmoid",
",",
"candidate_nonlinearity",
"=",
"core",
".",
"Tanh",
")"
] |
Builds a convolutional GRU.
Paper: https://arxiv.org/abs/1511.06432.
Args:
units: Number of hidden units
kernel_size: Kernel size for convolution
Returns:
A Stax model representing a GRU cell with convolution transforms.
|
[
"Builds",
"a",
"convolutional",
"GRU",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/layers/rnn.py#L47-L67
|
train
|
Builds a convolutional GRU cell.
|
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(6900 - 6789) + '\x31' + chr(0b10100 + 0o42) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000110 + 0o51) + chr(0b110010) + chr(2942 - 2887) + chr(0b10011 + 0o37), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100110 + 0o17) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101001 + 0o6) + chr(0b110011) + '\063' + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(1839 - 1785) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b110110) + chr(0b101111 + 0o4), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(0b110011 + 0o74) + chr(0b101 + 0o54) + '\060' + chr(387 - 336), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10319 - 10208) + '\x33' + chr(1382 - 1332) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(6140 - 6029) + chr(328 - 277) + '\063' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x36' + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(0b110011 + 0o4) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b100010 + 0o24) + '\060', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010111 + 0o30) + chr(464 - 414) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b110000) + chr(0b110100), 65353 - 65345), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(794 - 743) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(52), 43377 - 43369), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + '\062' + chr(0b100001 + 0o25) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(916 - 868) + chr(0b1010111 + 0o30) + chr(52) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\x37' + chr(2777 - 2724), 47613 - 47605), ehT0Px3KOsy9(chr(514 - 466) + '\157' + '\x32' + chr(54) + '\x33', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1111 + 0o45) + chr(0b110101), 35279 - 35271), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(2554 - 2503) + chr(2455 - 2401), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b0 + 0o64), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1111 + 0o43) + chr(0b110100) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(682 - 634) + '\x6f' + chr(0b110001) + chr(0b110000) + chr(1866 - 1814), 0o10), ehT0Px3KOsy9(chr(48) + chr(9040 - 8929) + chr(0b110001) + '\x34', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b110101) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(3558 - 3447) + '\x32' + chr(48) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(593 - 542) + chr(0b101111 + 0o1), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1560 - 1509) + '\064' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\067' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b100110 + 0o20) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1110 + 0o43) + '\x34' + chr(0b101 + 0o54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2114 - 2003) + chr(0b110011) + chr(0b110101) + chr(1194 - 1143), 17220 - 17212), ehT0Px3KOsy9('\x30' + chr(111) + chr(1700 - 1649) + chr(0b11000 + 0o37) + chr(55), 16511 - 16503), ehT0Px3KOsy9(chr(1024 - 976) + chr(0b1101111) + chr(0b110100) + chr(0b10 + 0o63), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1738 - 1689) + '\x35' + chr(1477 - 1425), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(234 - 185) + chr(0b110100) + chr(0b11100 + 0o30), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + chr(0b101000 + 0o13) + chr(2779 - 2724) + '\061', 3597 - 3589)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(2640 - 2587) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'^'), chr(1651 - 1551) + '\145' + '\143' + chr(0b1101111) + chr(2160 - 2060) + chr(910 - 809))(chr(0b1110101) + chr(8780 - 8664) + '\146' + chr(45) + chr(0b100000 + 0o30)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def XVzqeff6xiEB(pMSSZNED5Vsi, m6gwVXy4D3Au=(ehT0Px3KOsy9('\x30' + '\157' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111000 + 0o67) + '\x33', 8))):
def FaCbGx8uIsmK():
return xafqLlk3kkUe(d9fhmi4XXZ1X, xafqLlk3kkUe(SXOLrMavuUCe(b'3\xd5B\xaa'), chr(327 - 227) + chr(0b100101 + 0o100) + chr(0b1100011) + chr(0b1101111) + chr(2741 - 2641) + chr(101))('\x75' + chr(0b110 + 0o156) + '\146' + '\055' + chr(56)))(filters=pMSSZNED5Vsi, kernel_size=m6gwVXy4D3Au, padding=xafqLlk3kkUe(SXOLrMavuUCe(b'#\xfba\x99'), chr(7082 - 6982) + '\x65' + chr(8092 - 7993) + '\157' + chr(0b1100100) + chr(0b1001111 + 0o26))('\165' + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\x38'))
return sIpUGNzm81q3(candidate_transform=FaCbGx8uIsmK, memory_transform=xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'9\xdeI\xb2\x84\xdai:'), '\144' + chr(5701 - 5600) + chr(0b1100011) + chr(111) + chr(100) + chr(0b1100101))(chr(1516 - 1399) + chr(10238 - 10122) + chr(7507 - 7405) + '\055' + chr(0b100010 + 0o26))), gate_nonlinearity=xafqLlk3kkUe(d9fhmi4XXZ1X, xafqLlk3kkUe(SXOLrMavuUCe(b'#\xd3K\xb1\x9f\xday'), '\x64' + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(2628 - 2528) + '\145')('\165' + '\164' + chr(9531 - 9429) + chr(45) + chr(56))), candidate_nonlinearity=xafqLlk3kkUe(d9fhmi4XXZ1X, xafqLlk3kkUe(SXOLrMavuUCe(b'$\xdbB\xb4'), chr(1200 - 1100) + '\145' + chr(1803 - 1704) + '\x6f' + chr(0b1100100) + chr(101))(chr(9900 - 9783) + '\x74' + chr(0b1100110) + '\055' + chr(0b10111 + 0o41))))
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/layers/rnn.py
|
GeneralGRUCell
|
def GeneralGRUCell(candidate_transform,
memory_transform=combinators.Identity,
gate_nonlinearity=core.Sigmoid,
candidate_nonlinearity=core.Tanh,
dropout_rate_c=0.1,
sigmoid_bias=0.5):
r"""Parametrized Gated Recurrent Unit (GRU) cell construction.
GRU update equations:
$$ Update gate: u_t = \sigmoid(U' * s_{t-1} + B') $$
$$ Reset gate: r_t = \sigmoid(U'' * s_{t-1} + B'') $$
$$ Candidate memory: c_t = \tanh(U * (r_t \odot s_{t-1}) + B) $$
$$ New State: s_t = u_t \odot s_{t-1} + (1 - u_t) \odot c_t $$
See combinators.GateBranches for details on the gating function.
Args:
candidate_transform: Transform to apply inside the Candidate branch. Applied
before nonlinearities.
memory_transform: Optional transformation on the memory before gating.
gate_nonlinearity: Function to use as gate activation. Allows trying
alternatives to Sigmoid, such as HardSigmoid.
candidate_nonlinearity: Nonlinearity to apply after candidate branch. Allows
trying alternatives to traditional Tanh, such as HardTanh
dropout_rate_c: Amount of dropout on the transform (c) gate. Dropout works
best in a GRU when applied exclusively to this branch.
sigmoid_bias: Constant to add before sigmoid gates. Generally want to start
off with a positive bias.
Returns:
A model representing a GRU cell with specified transforms.
"""
return combinators.Serial(
combinators.Branch(num_branches=3),
combinators.Parallel(
# s_{t-1} branch - optionally transform
# Typically is an identity.
memory_transform(),
# u_t (Update gate) branch
combinators.Serial(
candidate_transform(),
# Want bias to start out positive before sigmoids.
core.AddConstant(constant=sigmoid_bias),
gate_nonlinearity()),
# c_t (Candidate) branch
combinators.Serial(
combinators.Branch(num_branches=2),
combinators.Parallel(
combinators.Identity(),
# r_t (Reset) Branch
combinators.Serial(
candidate_transform(),
# Want bias to start out positive before sigmoids.
core.AddConstant(constant=sigmoid_bias),
gate_nonlinearity())),
## Gate S{t-1} with sigmoid(candidate_transform(S{t-1}))
combinators.MultiplyBranches(),
# Final projection + tanh to get Ct
candidate_transform(),
candidate_nonlinearity()), # Candidate gate
# Only apply dropout on the C gate.
# Paper reports that 0.1 is a good default.
core.Dropout(rate=dropout_rate_c)),
# Gate memory and candidate
combinators.GateBranches())
|
python
|
def GeneralGRUCell(candidate_transform,
memory_transform=combinators.Identity,
gate_nonlinearity=core.Sigmoid,
candidate_nonlinearity=core.Tanh,
dropout_rate_c=0.1,
sigmoid_bias=0.5):
r"""Parametrized Gated Recurrent Unit (GRU) cell construction.
GRU update equations:
$$ Update gate: u_t = \sigmoid(U' * s_{t-1} + B') $$
$$ Reset gate: r_t = \sigmoid(U'' * s_{t-1} + B'') $$
$$ Candidate memory: c_t = \tanh(U * (r_t \odot s_{t-1}) + B) $$
$$ New State: s_t = u_t \odot s_{t-1} + (1 - u_t) \odot c_t $$
See combinators.GateBranches for details on the gating function.
Args:
candidate_transform: Transform to apply inside the Candidate branch. Applied
before nonlinearities.
memory_transform: Optional transformation on the memory before gating.
gate_nonlinearity: Function to use as gate activation. Allows trying
alternatives to Sigmoid, such as HardSigmoid.
candidate_nonlinearity: Nonlinearity to apply after candidate branch. Allows
trying alternatives to traditional Tanh, such as HardTanh
dropout_rate_c: Amount of dropout on the transform (c) gate. Dropout works
best in a GRU when applied exclusively to this branch.
sigmoid_bias: Constant to add before sigmoid gates. Generally want to start
off with a positive bias.
Returns:
A model representing a GRU cell with specified transforms.
"""
return combinators.Serial(
combinators.Branch(num_branches=3),
combinators.Parallel(
# s_{t-1} branch - optionally transform
# Typically is an identity.
memory_transform(),
# u_t (Update gate) branch
combinators.Serial(
candidate_transform(),
# Want bias to start out positive before sigmoids.
core.AddConstant(constant=sigmoid_bias),
gate_nonlinearity()),
# c_t (Candidate) branch
combinators.Serial(
combinators.Branch(num_branches=2),
combinators.Parallel(
combinators.Identity(),
# r_t (Reset) Branch
combinators.Serial(
candidate_transform(),
# Want bias to start out positive before sigmoids.
core.AddConstant(constant=sigmoid_bias),
gate_nonlinearity())),
## Gate S{t-1} with sigmoid(candidate_transform(S{t-1}))
combinators.MultiplyBranches(),
# Final projection + tanh to get Ct
candidate_transform(),
candidate_nonlinearity()), # Candidate gate
# Only apply dropout on the C gate.
# Paper reports that 0.1 is a good default.
core.Dropout(rate=dropout_rate_c)),
# Gate memory and candidate
combinators.GateBranches())
|
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] |
r"""Parametrized Gated Recurrent Unit (GRU) cell construction.
GRU update equations:
$$ Update gate: u_t = \sigmoid(U' * s_{t-1} + B') $$
$$ Reset gate: r_t = \sigmoid(U'' * s_{t-1} + B'') $$
$$ Candidate memory: c_t = \tanh(U * (r_t \odot s_{t-1}) + B) $$
$$ New State: s_t = u_t \odot s_{t-1} + (1 - u_t) \odot c_t $$
See combinators.GateBranches for details on the gating function.
Args:
candidate_transform: Transform to apply inside the Candidate branch. Applied
before nonlinearities.
memory_transform: Optional transformation on the memory before gating.
gate_nonlinearity: Function to use as gate activation. Allows trying
alternatives to Sigmoid, such as HardSigmoid.
candidate_nonlinearity: Nonlinearity to apply after candidate branch. Allows
trying alternatives to traditional Tanh, such as HardTanh
dropout_rate_c: Amount of dropout on the transform (c) gate. Dropout works
best in a GRU when applied exclusively to this branch.
sigmoid_bias: Constant to add before sigmoid gates. Generally want to start
off with a positive bias.
Returns:
A model representing a GRU cell with specified transforms.
|
[
"r",
"Parametrized",
"Gated",
"Recurrent",
"Unit",
"(",
"GRU",
")",
"cell",
"construction",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/layers/rnn.py#L70-L140
|
train
|
r Returns a model representing a general GRU cell.
|
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(0b110110 + 0o71) + chr(2222 - 2171) + chr(0b11011 + 0o34) + chr(0b11111 + 0o21), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + '\064' + chr(0b100111 + 0o16), 35030 - 35022), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + chr(0b110010) + chr(0b1111 + 0o47) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100011 + 0o14) + '\x33' + chr(2205 - 2153) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(12053 - 11942) + '\x31' + chr(0b110010) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(55) + chr(0b10000 + 0o43), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100100 + 0o13) + '\062' + chr(1528 - 1478) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000010 + 0o55) + chr(0b10111 + 0o34) + chr(49) + chr(0b11010 + 0o30), 41003 - 40995), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(54) + chr(0b100111 + 0o20), 0b1000), ehT0Px3KOsy9('\060' + chr(0b100011 + 0o114) + '\x31' + chr(2130 - 2082) + '\067', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(52) + chr(1115 - 1063), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11560 - 11449) + '\x33' + chr(49) + chr(684 - 635), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\x33' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3590 - 3479) + '\x31' + '\062' + '\062', 36424 - 36416), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + '\x37' + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001001 + 0o46) + chr(0b10010 + 0o41) + '\061' + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000 + 0o2) + chr(1151 - 1099) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\x31' + chr(0b111 + 0o60), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(51) + chr(0b10001 + 0o45), 18537 - 18529), ehT0Px3KOsy9('\060' + chr(0b1010100 + 0o33) + chr(1389 - 1338) + chr(0b1111 + 0o43) + '\x32', 0b1000), ehT0Px3KOsy9(chr(331 - 283) + chr(0b11001 + 0o126) + chr(51) + chr(0b110101) + chr(0b110111), 58127 - 58119), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + '\x36' + '\064', 0b1000), ehT0Px3KOsy9(chr(1738 - 1690) + '\157' + chr(0b110011) + '\061' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(1235 - 1184) + chr(2235 - 2184), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11011 + 0o30) + '\061' + chr(50), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\x35' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(51) + '\x37', 1934 - 1926), ehT0Px3KOsy9('\060' + chr(4043 - 3932) + chr(0b1000 + 0o52) + '\x35' + '\x31', 0o10), ehT0Px3KOsy9(chr(1161 - 1113) + chr(111) + '\x32' + chr(0b110011) + chr(242 - 187), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1663 - 1613) + chr(0b101100 + 0o10) + chr(825 - 777), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(0b110011) + chr(0b101111 + 0o4) + chr(0b110101 + 0o1), 8), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + '\x31' + '\x32' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(298 - 187) + '\061' + chr(0b10111 + 0o34) + chr(0b10001 + 0o44), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b100001 + 0o116) + chr(0b110010) + chr(0b110000) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(627 - 576) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b110000), 57295 - 57287), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101100 + 0o3) + chr(0b100110 + 0o13) + chr(0b110100) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11011 + 0o124) + chr(0b110011) + chr(0b110010) + '\x31', 60812 - 60804), ehT0Px3KOsy9(chr(2284 - 2236) + chr(5661 - 5550) + chr(0b10111 + 0o33) + chr(0b1001 + 0o52) + chr(0b100011 + 0o21), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(453 - 405) + chr(111) + '\065' + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6'), chr(100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(9773 - 9673) + '\x65')('\165' + chr(116) + chr(0b1100011 + 0o3) + '\055' + chr(0b10111 + 0o41)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def sIpUGNzm81q3(yiWGXVBemPsy, elydWDz4ZB31=xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1A\xd2\x8e }O\xe8'), chr(2587 - 2487) + '\145' + chr(8955 - 8856) + chr(0b1011110 + 0o21) + chr(0b111 + 0o135) + chr(0b1100010 + 0o3))('\165' + '\x74' + chr(0b101110 + 0o70) + chr(0b100100 + 0o11) + chr(1986 - 1930))), IVAopN265I97=xafqLlk3kkUe(d9fhmi4XXZ1X, xafqLlk3kkUe(SXOLrMavuUCe(b'\xabL\xd0\x8d;}_'), chr(0b1011010 + 0o12) + chr(6152 - 6051) + chr(0b101010 + 0o71) + chr(0b1101111) + '\144' + chr(101))(chr(0b101101 + 0o110) + '\x74' + '\x66' + chr(0b100000 + 0o15) + chr(0b111000))), ZtUhLY7Lb3OO=xafqLlk3kkUe(d9fhmi4XXZ1X, xafqLlk3kkUe(SXOLrMavuUCe(b'\xacD\xd9\x88'), chr(0b1011 + 0o131) + chr(101) + chr(5238 - 5139) + chr(111) + chr(0b110100 + 0o60) + '\x65')(chr(0b1110101) + chr(12688 - 12572) + chr(3158 - 3056) + chr(0b11001 + 0o24) + chr(56))), NpL4FvLLvjNR=0.1, mmAPec14_T60=0.5):
return xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab@\xc5\x895x'), '\144' + '\x65' + chr(0b1100011) + chr(111) + chr(0b100000 + 0o104) + chr(0b11 + 0o142))('\x75' + '\x74' + chr(0b1100110) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbaW\xd6\x8e7|'), '\144' + '\145' + chr(99) + '\157' + chr(0b10111 + 0o115) + chr(0b1100101))(chr(0b1110101) + '\164' + '\x66' + chr(0b101101) + chr(56)))(num_branches=ehT0Px3KOsy9(chr(0b110000) + chr(1998 - 1887) + '\x33', ord("\x08"))), xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8D\xc5\x818x^\xfd'), '\144' + chr(9170 - 9069) + chr(99) + chr(0b1101111) + chr(9029 - 8929) + chr(5832 - 5731))(chr(0b1101001 + 0o14) + '\x74' + '\146' + chr(0b101101) + chr(56)))(elydWDz4ZB31(), xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab@\xc5\x895x'), chr(0b10000 + 0o124) + '\145' + chr(0b10010 + 0o121) + chr(111) + chr(100) + chr(101))('\165' + '\164' + chr(0b1100110) + chr(1562 - 1517) + chr(0b10101 + 0o43)))(yiWGXVBemPsy(), xafqLlk3kkUe(d9fhmi4XXZ1X, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9A\xd3\xa3;zH\xe5\xabY3'), '\x64' + chr(101) + '\143' + '\157' + chr(0b1100100) + chr(8026 - 7925))(chr(0b100100 + 0o121) + chr(0b1110100) + '\x66' + chr(45) + chr(1894 - 1838)))(constant=mmAPec14_T60), IVAopN265I97()), xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab@\xc5\x895x'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(0b1010000 + 0o37) + '\x64' + '\145')(chr(3601 - 3484) + chr(116) + chr(461 - 359) + chr(604 - 559) + chr(0b111000)))(xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbaW\xd6\x8e7|'), '\x64' + chr(6207 - 6106) + chr(0b1100011) + chr(11558 - 11447) + chr(0b101111 + 0o65) + '\145')('\165' + chr(11610 - 11494) + '\146' + chr(0b101101) + chr(1394 - 1338)))(num_branches=ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + chr(50), 26663 - 26655)), xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8D\xc5\x818x^\xfd'), chr(0b1010111 + 0o15) + chr(4309 - 4208) + chr(0b11111 + 0o104) + '\x6f' + '\144' + chr(2094 - 1993))(chr(0b111 + 0o156) + chr(8536 - 8420) + chr(5684 - 5582) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1A\xd2\x8e }O\xe8'), chr(100) + '\145' + '\143' + chr(0b1101111) + chr(100) + '\145')('\x75' + chr(0b1110100) + '\x66' + chr(0b11100 + 0o21) + chr(56)))(), xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab@\xc5\x895x'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(101))(chr(117) + chr(0b1010111 + 0o35) + '\x66' + '\x2d' + chr(0b100101 + 0o23)))(yiWGXVBemPsy(), xafqLlk3kkUe(d9fhmi4XXZ1X, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9A\xd3\xa3;zH\xe5\xabY3'), chr(0b1100100) + chr(9669 - 9568) + chr(0b1100011) + '\157' + chr(0b10011 + 0o121) + '\145')(chr(0b1110101) + chr(116) + chr(0b1001011 + 0o33) + chr(0b101101) + '\x38'))(constant=mmAPec14_T60), IVAopN265I97())), xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5P\xdb\x94=dW\xe8\x88E&\x8a\xaa\xf47\x8d'), chr(0b1100100) + chr(101) + chr(0b1100011) + '\157' + chr(591 - 491) + '\x65')('\x75' + chr(116) + chr(7802 - 7700) + '\055' + '\070'))(), yiWGXVBemPsy(), ZtUhLY7Lb3OO()), xafqLlk3kkUe(d9fhmi4XXZ1X, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbcW\xd8\x90;aO'), chr(0b1100100) + '\145' + chr(99) + '\x6f' + chr(0b1100010 + 0o2) + '\x65')(chr(0b1110101) + chr(0b1100101 + 0o17) + chr(0b1100110) + chr(45) + chr(0b111000)))(rate=NpL4FvLLvjNR)), xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbfD\xc3\x85\x16fZ\xff\xa9_"\x97'), chr(100) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(101))('\165' + chr(589 - 473) + '\146' + chr(0b101101) + '\070'))())
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/layers/attention.py
|
MakeTargetMask
|
def MakeTargetMask(target, pad=0):
"""Create an attention mask to hide padding and future words."""
target_mask = (target != pad)[ :, np.newaxis, :]
target_dtype = target_mask.dtype
causal_mask = onp.tril(onp.ones((1, target.shape[-1], target.shape[-1]),
dtype=target_dtype), k=0)
target_mask = target_mask & causal_mask
return np.expand_dims(target_mask, axis=1)
|
python
|
def MakeTargetMask(target, pad=0):
"""Create an attention mask to hide padding and future words."""
target_mask = (target != pad)[ :, np.newaxis, :]
target_dtype = target_mask.dtype
causal_mask = onp.tril(onp.ones((1, target.shape[-1], target.shape[-1]),
dtype=target_dtype), k=0)
target_mask = target_mask & causal_mask
return np.expand_dims(target_mask, axis=1)
|
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Create an attention mask to hide padding and future words.
|
[
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"future",
"words",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/layers/attention.py#L43-L50
|
train
|
Create an attention mask to hide padding and future words.
|
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(107 - 59) + '\157' + chr(1058 - 1008) + '\x35' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(2884 - 2773) + chr(2595 - 2544) + chr(0b101110 + 0o3) + '\x30', 16191 - 16183), ehT0Px3KOsy9('\060' + '\x6f' + chr(1253 - 1204) + '\062' + chr(50), 45668 - 45660), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100 + 0o56) + '\x34', 45167 - 45159), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b100100 + 0o16) + chr(2621 - 2567), 35946 - 35938), ehT0Px3KOsy9(chr(815 - 767) + chr(0b110 + 0o151) + '\061' + chr(0b101110 + 0o10), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(100 - 51) + '\064' + chr(513 - 461), 0o10), ehT0Px3KOsy9('\060' + chr(3919 - 3808) + chr(0b1100 + 0o47) + chr(0b110010 + 0o4) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11011 + 0o124) + '\x33' + chr(0b110000), 39448 - 39440), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101011 + 0o6) + chr(0b110011) + chr(2224 - 2175), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1168 - 1117) + chr(672 - 619) + chr(50), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(49) + '\x34', 29076 - 29068), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + chr(51) + chr(1354 - 1300) + chr(0b11011 + 0o25), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(0b11001 + 0o34) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1989 - 1941) + chr(0b1101111) + '\x31' + '\x31' + chr(332 - 283), ord("\x08")), ehT0Px3KOsy9(chr(432 - 384) + '\x6f' + chr(0b101011 + 0o6) + chr(0b110100) + chr(1589 - 1541), 18361 - 18353), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + '\x37' + chr(0b110011), 41751 - 41743), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(693 - 642) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(143 - 94) + '\x37', 59531 - 59523), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\x34' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11000 + 0o127) + chr(1543 - 1491), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\063' + chr(0b10110 + 0o33), 33412 - 33404), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(2135 - 2082) + chr(51), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(1326 - 1277) + chr(49) + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(0b1000000 + 0o57) + chr(0b100000 + 0o25) + chr(1513 - 1463), ord("\x08")), ehT0Px3KOsy9(chr(182 - 134) + chr(5711 - 5600) + chr(442 - 388) + chr(48), 0o10), ehT0Px3KOsy9(chr(218 - 170) + chr(0b1101111) + chr(0b110100) + chr(0b1000 + 0o57), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(566 - 516) + chr(0b110000) + '\061', 30127 - 30119), ehT0Px3KOsy9(chr(0b110000) + chr(11875 - 11764) + '\x36' + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\x35' + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10010 + 0o135) + '\x32' + chr(49) + chr(0b101001 + 0o15), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + '\x31' + chr(0b110101) + chr(0b100011 + 0o24), 45471 - 45463), ehT0Px3KOsy9(chr(1391 - 1343) + '\x6f' + chr(50) + chr(0b110011) + '\x35', 22604 - 22596), ehT0Px3KOsy9(chr(0b110000) + chr(0b11 + 0o154) + '\061' + chr(0b11111 + 0o24) + chr(48), 6274 - 6266), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(1387 - 1333) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(9144 - 9033) + chr(595 - 544) + '\061' + chr(0b100011 + 0o15), 8), ehT0Px3KOsy9('\060' + chr(7739 - 7628) + chr(83 - 28) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(2029 - 1978) + chr(422 - 369) + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + chr(5618 - 5507) + '\x32' + chr(54) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(2425 - 2374), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1985 - 1937) + chr(111) + chr(0b1011 + 0o52) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x85'), chr(0b1100100) + chr(0b1100101) + chr(0b1000111 + 0o34) + chr(0b10011 + 0o134) + chr(100) + chr(0b1100100 + 0o1))(chr(0b1010 + 0o153) + chr(116) + chr(0b1100110) + chr(1490 - 1445) + chr(1610 - 1554)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def K5GBoMzawWBY(GR1581dR5rDS, jq0C7ttmqXPS=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2172 - 2124), 0b1000)):
ibztgOsJi_kJ = (GR1581dR5rDS != jq0C7ttmqXPS)[:, WqUC3KWvYVup.newaxis, :]
xfUWr_Fhf3MC = ibztgOsJi_kJ.jSV9IKnemH7K
WXL79NPY_fFm = E84IQ9WvC5Je.tril(E84IQ9WvC5Je.ones((ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(0b110001), 0o10), GR1581dR5rDS.nauYfLglTpcb[-ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49), 8)], GR1581dR5rDS.nauYfLglTpcb[-ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49), 8)]), dtype=xfUWr_Fhf3MC), k=ehT0Px3KOsy9(chr(1476 - 1428) + chr(111) + '\x30', 8))
ibztgOsJi_kJ = ibztgOsJi_kJ & WXL79NPY_fFm
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xce\xb0"u8j;\x95q4\x99'), chr(100) + chr(101) + chr(99) + '\x6f' + chr(100) + chr(4428 - 4327))('\165' + chr(7729 - 7613) + chr(10302 - 10200) + chr(1216 - 1171) + '\x38'))(ibztgOsJi_kJ, axis=ehT0Px3KOsy9(chr(1076 - 1028) + chr(3227 - 3116) + chr(0b110001), 8))
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/layers/attention.py
|
PreparePairedSequenceBatch
|
def PreparePairedSequenceBatch(source, target_in, pad=0):
"""Build masks for this batch.
Args:
source: (batch, source_len) array of integer-coded symbols for inputs
target_in: (batch, batch_len) array of integer-coded symbols for targets
pad: int: the padding symbol used to pad the above
Returns:
Prepared batch of tuple of arrays: source, input-target, shifted-target,
source mask, target mask, source-target "memory" mask, minibatch token count
"""
target = target_in[:, :-1]
target_y = target_in[:, 1:]
source_mask = np.reshape(source != pad,
(source.shape[0], 1, 1, source.shape[-1]))
target_mask = MakeTargetMask(target, pad)
memory_mask = (
np.reshape(np.arange(target.shape[-1]) < source.shape[-1], [-1, 1]))
ntokens = np.sum(target_y != pad)
return (source, target, target_y,
source_mask, target_mask, memory_mask, ntokens)
|
python
|
def PreparePairedSequenceBatch(source, target_in, pad=0):
"""Build masks for this batch.
Args:
source: (batch, source_len) array of integer-coded symbols for inputs
target_in: (batch, batch_len) array of integer-coded symbols for targets
pad: int: the padding symbol used to pad the above
Returns:
Prepared batch of tuple of arrays: source, input-target, shifted-target,
source mask, target mask, source-target "memory" mask, minibatch token count
"""
target = target_in[:, :-1]
target_y = target_in[:, 1:]
source_mask = np.reshape(source != pad,
(source.shape[0], 1, 1, source.shape[-1]))
target_mask = MakeTargetMask(target, pad)
memory_mask = (
np.reshape(np.arange(target.shape[-1]) < source.shape[-1], [-1, 1]))
ntokens = np.sum(target_y != pad)
return (source, target, target_y,
source_mask, target_mask, memory_mask, ntokens)
|
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Build masks for this batch.
Args:
source: (batch, source_len) array of integer-coded symbols for inputs
target_in: (batch, batch_len) array of integer-coded symbols for targets
pad: int: the padding symbol used to pad the above
Returns:
Prepared batch of tuple of arrays: source, input-target, shifted-target,
source mask, target mask, source-target "memory" mask, minibatch token count
|
[
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"masks",
"for",
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"batch",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/layers/attention.py#L53-L74
|
train
|
Prepares a batch of arrays for paired sequences.
|
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(0b101101 + 0o3) + '\x6f' + chr(0b10111 + 0o32) + '\063' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2009 - 1960) + '\062' + '\066', 0o10), ehT0Px3KOsy9(chr(1281 - 1233) + chr(8686 - 8575) + chr(50) + chr(742 - 694) + chr(0b100010 + 0o20), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(4786 - 4675) + chr(447 - 394) + chr(0b100001 + 0o20), 13412 - 13404), ehT0Px3KOsy9('\060' + chr(111) + chr(296 - 246) + chr(50) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(1158 - 1047) + '\x32' + chr(55) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110111) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10851 - 10740) + chr(720 - 670) + chr(50) + chr(0b1010 + 0o52), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(0b110011) + chr(0b110000) + chr(1922 - 1868), 33569 - 33561), ehT0Px3KOsy9(chr(721 - 673) + chr(12245 - 12134) + chr(0b110010) + chr(785 - 732) + chr(1773 - 1724), 0b1000), ehT0Px3KOsy9(chr(885 - 837) + '\157' + chr(0b110110) + chr(1598 - 1544), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + '\x32' + chr(2122 - 2067), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b11011 + 0o30) + '\x37' + '\063', 0o10), ehT0Px3KOsy9(chr(1374 - 1326) + '\x6f' + chr(52) + chr(466 - 417), 2586 - 2578), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + '\066' + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001110 + 0o41) + chr(1644 - 1593) + '\x30' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1100 + 0o143) + '\061' + chr(0b110000) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + chr(417 - 368) + chr(0b110111) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + chr(49) + '\064' + '\x33', 0o10), ehT0Px3KOsy9(chr(1372 - 1324) + '\157' + chr(0b101 + 0o61) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b100 + 0o153) + chr(0b110001) + chr(2407 - 2352) + chr(1035 - 980), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\067' + chr(2448 - 2397), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(55) + chr(0b11010 + 0o33), 52769 - 52761), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10 + 0o60) + chr(0b101101 + 0o4) + chr(926 - 878), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(131 - 79) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11336 - 11225) + '\x32' + chr(2411 - 2360) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + '\x35' + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\x32' + '\061', 0o10), ehT0Px3KOsy9(chr(1714 - 1666) + chr(0b10011 + 0o134) + chr(0b110010) + chr(0b100 + 0o62) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(8353 - 8242) + chr(1238 - 1187) + chr(48) + chr(0b110111), 57037 - 57029), ehT0Px3KOsy9('\060' + chr(0b100110 + 0o111) + chr(49) + '\062' + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\x36' + chr(0b100101 + 0o13), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(52) + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101000 + 0o107) + '\066' + '\061', 20052 - 20044), ehT0Px3KOsy9('\x30' + chr(3172 - 3061) + chr(0b1000 + 0o52) + chr(0b100110 + 0o14) + chr(2286 - 2237), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(0b1101 + 0o50) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + chr(0b100100 + 0o17) + chr(0b110010) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(53) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53) + chr(0b110010), 14856 - 14848)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1388 - 1340) + '\x6f' + '\065' + chr(1690 - 1642), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'u'), '\144' + chr(0b1100101) + '\x63' + '\x6f' + chr(0b1100100) + '\145')('\165' + chr(3887 - 3771) + chr(0b10011 + 0o123) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Zlcf21KrM61B(Qas9W3D0Xbzi, UNB_NjedDKXG, jq0C7ttmqXPS=ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b111000 + 0o67) + chr(0b101000 + 0o10), ord("\x08"))):
GR1581dR5rDS = UNB_NjedDKXG[:, :-ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49), 0o10)]
_ZxiDKWtBxcb = UNB_NjedDKXG[:, ehT0Px3KOsy9('\060' + chr(5747 - 5636) + '\x31', 8):]
dR8yeI_DNUv3 = WqUC3KWvYVup.reshape(Qas9W3D0Xbzi != jq0C7ttmqXPS, (Qas9W3D0Xbzi.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + '\060', 8)], ehT0Px3KOsy9('\060' + chr(11169 - 11058) + '\061', 8), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1001001 + 0o46) + '\061', 8), Qas9W3D0Xbzi.nauYfLglTpcb[-ehT0Px3KOsy9('\x30' + '\x6f' + chr(1191 - 1142), 8)]))
ibztgOsJi_kJ = K5GBoMzawWBY(GR1581dR5rDS, jq0C7ttmqXPS)
BtD8adbU5dQx = WqUC3KWvYVup.reshape(WqUC3KWvYVup.arange(GR1581dR5rDS.nauYfLglTpcb[-ehT0Px3KOsy9(chr(1939 - 1891) + chr(111) + chr(1610 - 1561), 8)]) < Qas9W3D0Xbzi.nauYfLglTpcb[-ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001), 8)], [-ehT0Px3KOsy9(chr(48) + chr(111) + chr(578 - 529), 8), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(2584 - 2473) + chr(0b11100 + 0o25), 8)])
d22zgvbGsi8M = WqUC3KWvYVup.xkxBmo49x2An(_ZxiDKWtBxcb != jq0C7ttmqXPS)
return (Qas9W3D0Xbzi, GR1581dR5rDS, _ZxiDKWtBxcb, dR8yeI_DNUv3, ibztgOsJi_kJ, BtD8adbU5dQx, d22zgvbGsi8M)
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/layers/attention.py
|
_layer_norm_new_params
|
def _layer_norm_new_params(input_shape, rng, epsilon=1e-6): # pylint: disable=invalid-name
"""Helper: create layer norm parameters."""
del rng, epsilon
features = input_shape[-1]
scale = np.ones(features)
bias = np.zeros(features)
return (scale, bias)
|
python
|
def _layer_norm_new_params(input_shape, rng, epsilon=1e-6): # pylint: disable=invalid-name
"""Helper: create layer norm parameters."""
del rng, epsilon
features = input_shape[-1]
scale = np.ones(features)
bias = np.zeros(features)
return (scale, bias)
|
[
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"1e-6",
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",",
"epsilon",
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"input_shape",
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"zeros",
"(",
"features",
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")"
] |
Helper: create layer norm parameters.
|
[
"Helper",
":",
"create",
"layer",
"norm",
"parameters",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/layers/attention.py#L78-L84
|
train
|
Helper function to create layer norm parameters.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(520 - 472) + '\x6f' + chr(0b11011 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(50) + chr(129 - 75), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b110000 + 0o1) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(49) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(1197 - 1142) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1274 - 1225) + '\063' + chr(2394 - 2339), 35924 - 35916), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(175 - 127) + '\157' + '\x31' + chr(0b110001) + chr(1793 - 1744), 26328 - 26320), ehT0Px3KOsy9('\060' + chr(4967 - 4856) + '\x33' + chr(51) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(1712 - 1662) + chr(0b111 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(0b110010) + chr(48) + chr(2623 - 2570), ord("\x08")), ehT0Px3KOsy9(chr(188 - 140) + chr(10605 - 10494) + '\062' + chr(2625 - 2571), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110101) + chr(0b100101 + 0o21), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + '\x33' + chr(0b110011) + '\066', 60723 - 60715), ehT0Px3KOsy9(chr(48) + chr(9978 - 9867) + chr(0b110001) + chr(1597 - 1544) + chr(0b110011), 37052 - 37044), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(1204 - 1154) + '\x35', 63049 - 63041), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10 + 0o57) + chr(54) + chr(1515 - 1463), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(49) + '\065', 10176 - 10168), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + '\x31' + chr(2965 - 2910) + chr(55), 0b1000), ehT0Px3KOsy9(chr(1909 - 1861) + '\x6f' + chr(0b101101 + 0o6) + chr(0b10001 + 0o43) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1344 - 1295) + chr(2528 - 2475) + '\x32', 35324 - 35316), ehT0Px3KOsy9('\x30' + '\157' + chr(893 - 838) + '\066', 0b1000), ehT0Px3KOsy9(chr(1926 - 1878) + chr(111) + chr(0b101100 + 0o5) + chr(0b110011) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(53) + chr(0b100101 + 0o21), 38787 - 38779), ehT0Px3KOsy9('\060' + chr(0b110111 + 0o70) + '\x31' + '\x34' + chr(0b1001 + 0o52), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + chr(51) + '\063' + chr(1887 - 1834), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10001 + 0o136) + '\062' + chr(0b110011) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1000011 + 0o54) + '\061' + '\x37' + chr(206 - 153), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(571 - 521) + chr(1230 - 1181) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101110 + 0o101) + chr(2396 - 2345) + '\x33' + '\060', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(55) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b10 + 0o60) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1242 - 1192) + chr(1343 - 1293) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(1558 - 1510) + chr(0b1000001 + 0o56) + chr(2393 - 2342) + chr(0b101010 + 0o11) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101101 + 0o2) + chr(50) + chr(1915 - 1866), 8), ehT0Px3KOsy9(chr(48) + chr(0b101100 + 0o103) + chr(0b110010) + chr(51) + chr(52), 61254 - 61246), ehT0Px3KOsy9(chr(619 - 571) + chr(0b1101111) + chr(51) + '\060' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(3829 - 3718) + '\061' + chr(0b110011) + chr(0b111 + 0o55), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(0b110001) + '\064' + chr(2223 - 2175), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11111 + 0o26) + chr(48), 32908 - 32900)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'*'), '\x64' + chr(0b1001001 + 0o34) + chr(99) + chr(0b10 + 0o155) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b11000 + 0o134) + chr(5970 - 5868) + chr(1854 - 1809) + chr(2349 - 2293)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def CbGfVkBoss4Z(tANyZeuTfu5y, OKPXzuZwN61O, Xtig2zAKpR0T=1e-06):
del OKPXzuZwN61O, Xtig2zAKpR0T
EEf4r9nUvta_ = tANyZeuTfu5y[-ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11001 + 0o30), 0o10)]
xjPLimsZRgb9 = WqUC3KWvYVup.ones(EEf4r9nUvta_)
IKTrMTySqz10 = WqUC3KWvYVup.zeros(EEf4r9nUvta_)
return (xjPLimsZRgb9, IKTrMTySqz10)
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/layers/attention.py
|
_positional_encoding_new_params
|
def _positional_encoding_new_params(input_shape, rng, max_len=2048): # pylint: disable=invalid-name
"""Helper: create positional encoding parameters."""
del rng
# Check if we are operating on chunked inputs by checking if the first
# shape is a list/tuple of shapes (otherwise it's an int or numpy array).
is_chunked = isinstance(input_shape[0], (list, tuple))
feature_depth = input_shape[0][-1] if is_chunked else input_shape[-1]
pe = onp.zeros((max_len, feature_depth), dtype=onp.float32)
position = onp.arange(0, max_len)[:, onp.newaxis]
div_term = onp.exp(
onp.arange(0, feature_depth, 2) * -(onp.log(10000.0) / feature_depth))
pe[:, 0::2] = onp.sin(position * div_term)
pe[:, 1::2] = onp.cos(position * div_term)
pe = pe[onp.newaxis, :, :] # [1, max_len, feature_depth]
return np.array(pe)
|
python
|
def _positional_encoding_new_params(input_shape, rng, max_len=2048): # pylint: disable=invalid-name
"""Helper: create positional encoding parameters."""
del rng
# Check if we are operating on chunked inputs by checking if the first
# shape is a list/tuple of shapes (otherwise it's an int or numpy array).
is_chunked = isinstance(input_shape[0], (list, tuple))
feature_depth = input_shape[0][-1] if is_chunked else input_shape[-1]
pe = onp.zeros((max_len, feature_depth), dtype=onp.float32)
position = onp.arange(0, max_len)[:, onp.newaxis]
div_term = onp.exp(
onp.arange(0, feature_depth, 2) * -(onp.log(10000.0) / feature_depth))
pe[:, 0::2] = onp.sin(position * div_term)
pe[:, 1::2] = onp.cos(position * div_term)
pe = pe[onp.newaxis, :, :] # [1, max_len, feature_depth]
return np.array(pe)
|
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] |
Helper: create positional encoding parameters.
|
[
"Helper",
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/layers/attention.py#L97-L111
|
train
|
Helper function to create positional encoding parameters.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(2334 - 2284) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\064' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(0b1100 + 0o50), 333 - 325), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1011 + 0o50) + '\060' + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b100000 + 0o21) + chr(0b110101) + chr(308 - 253), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1110 + 0o44) + '\063' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b100101 + 0o112) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101101 + 0o102) + chr(49) + chr(53) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\x31' + chr(0b110000 + 0o0), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\x30' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\x36' + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\065' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + '\x35', 24944 - 24936), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b110111) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(150 - 100) + chr(53) + '\066', 53311 - 53303), ehT0Px3KOsy9(chr(48) + chr(1833 - 1722) + chr(107 - 54) + chr(0b1100 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(1678 - 1630) + chr(111) + chr(766 - 717) + chr(51) + '\x34', 873 - 865), ehT0Px3KOsy9(chr(2053 - 2005) + chr(0b1010010 + 0o35) + '\067' + chr(1509 - 1460), ord("\x08")), ehT0Px3KOsy9(chr(1139 - 1091) + chr(0b1101111) + chr(0b110011) + '\x36' + chr(792 - 739), 54843 - 54835), ehT0Px3KOsy9('\x30' + chr(11844 - 11733) + chr(0b110001) + chr(0b0 + 0o63) + '\x37', 41221 - 41213), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1546 - 1492) + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(0b110010 + 0o75) + chr(0b110011) + chr(621 - 573) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(613 - 565) + '\157' + chr(49) + chr(0b0 + 0o64) + chr(0b110010), 17855 - 17847), ehT0Px3KOsy9(chr(0b110000) + chr(3425 - 3314) + '\x31' + chr(50) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(1368 - 1317) + '\061' + chr(52), 24672 - 24664), ehT0Px3KOsy9(chr(1571 - 1523) + chr(0b1101111) + chr(0b110010) + '\x35' + '\x31', 53992 - 53984), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b110111) + '\x35', 62700 - 62692), ehT0Px3KOsy9('\x30' + chr(7248 - 7137) + '\x36' + '\065', 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + '\063' + chr(0b110101) + '\x32', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100001 + 0o20) + chr(0b101 + 0o61) + chr(51), 35271 - 35263), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(335 - 287) + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001110 + 0o41) + '\x32' + chr(0b100000 + 0o20) + chr(0b101111 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(1656 - 1608) + '\x6f' + chr(0b101111 + 0o3) + '\x37' + '\065', 8), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(0b110011) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2275 - 2220) + chr(663 - 611), 0o10), ehT0Px3KOsy9('\060' + chr(0b111 + 0o150) + '\063' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110110 + 0o71) + chr(0b100111 + 0o14) + chr(0b1110 + 0o43) + '\066', 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(3169 - 3058) + chr(0b110010) + chr(53) + chr(0b10101 + 0o41), 8), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\067', 48072 - 48064), ehT0Px3KOsy9(chr(1585 - 1537) + chr(0b1101111) + chr(963 - 912) + '\x37' + chr(0b110010 + 0o0), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1010101 + 0o32) + chr(53) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'?'), chr(0b100111 + 0o75) + '\145' + '\x63' + chr(111) + chr(100) + chr(7381 - 7280))(chr(0b1001010 + 0o53) + chr(9604 - 9488) + '\x66' + chr(45) + chr(1680 - 1624)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def zEyY8HbQHVoh(tANyZeuTfu5y, OKPXzuZwN61O, qbKO12mgagKE=ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x34' + chr(0b110000) + chr(0b110000) + chr(48), 0o10)):
del OKPXzuZwN61O
r989rPWEBwK7 = PlSM16l2KDPD(tANyZeuTfu5y[ehT0Px3KOsy9('\x30' + '\157' + chr(48), 8)], (YyaZ4tpXu4lf, KNyTy8rYcwji))
E1c_5v_Zd9l8 = tANyZeuTfu5y[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(48), 8)][-ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + '\061', 34809 - 34801)] if r989rPWEBwK7 else tANyZeuTfu5y[-ehT0Px3KOsy9(chr(1194 - 1146) + '\157' + chr(147 - 98), 8)]
VZIxVAglhfjn = E84IQ9WvC5Je.zeros((qbKO12mgagKE, E1c_5v_Zd9l8), dtype=E84IQ9WvC5Je.float32)
YuFoYWD_1Nj0 = E84IQ9WvC5Je.arange(ehT0Px3KOsy9('\060' + '\157' + '\x30', 8), qbKO12mgagKE)[:, E84IQ9WvC5Je.newaxis]
I4jHXLh28I_j = E84IQ9WvC5Je.exp(E84IQ9WvC5Je.arange(ehT0Px3KOsy9('\x30' + chr(6313 - 6202) + '\060', 8), E1c_5v_Zd9l8, ehT0Px3KOsy9('\060' + chr(0b1011001 + 0o26) + chr(50), 0b1000)) * -(E84IQ9WvC5Je.log(10000.0) / E1c_5v_Zd9l8))
VZIxVAglhfjn[:, ehT0Px3KOsy9('\060' + '\157' + chr(0b100 + 0o54), 8)::ehT0Px3KOsy9(chr(1314 - 1266) + chr(3212 - 3101) + '\062', 8)] = E84IQ9WvC5Je.sin(YuFoYWD_1Nj0 * I4jHXLh28I_j)
VZIxVAglhfjn[:, ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + '\061', 8)::ehT0Px3KOsy9(chr(48) + '\x6f' + '\062', 8)] = E84IQ9WvC5Je.cos(YuFoYWD_1Nj0 * I4jHXLh28I_j)
VZIxVAglhfjn = VZIxVAglhfjn[E84IQ9WvC5Je.newaxis, :, :]
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'SWi\x94+\xf7p\x1b\xf0\x8f\xc2\x81'), '\144' + chr(0b1100101) + '\143' + chr(111) + chr(100) + chr(0b110110 + 0o57))(chr(0b1011000 + 0o35) + '\164' + chr(0b1100100 + 0o2) + '\055' + '\x38'))(VZIxVAglhfjn)
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/layers/attention.py
|
PositionalEncoding
|
def PositionalEncoding(x, params, **unused_kwargs):
"""Implements bare positional encoding."""
if not isinstance(x, (list, tuple)): # non-chunked inputs
symbol_size = np.shape(x)[1]
return x + params[:, :symbol_size, :]
# Chunked case: apply to all chunks selecting as much as needed.
offset = 0
results = []
for chunk in x:
symbol_size = np.shape(chunk)[1]
results.append(chunk + params[:, offset:offset + symbol_size, :])
offset += symbol_size
return results
|
python
|
def PositionalEncoding(x, params, **unused_kwargs):
"""Implements bare positional encoding."""
if not isinstance(x, (list, tuple)): # non-chunked inputs
symbol_size = np.shape(x)[1]
return x + params[:, :symbol_size, :]
# Chunked case: apply to all chunks selecting as much as needed.
offset = 0
results = []
for chunk in x:
symbol_size = np.shape(chunk)[1]
results.append(chunk + params[:, offset:offset + symbol_size, :])
offset += symbol_size
return results
|
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] |
Implements bare positional encoding.
|
[
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/layers/attention.py#L115-L127
|
train
|
Implements bare positional encoding.
|
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(2029 - 1975) + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + chr(803 - 692) + chr(49) + '\062' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1001 + 0o52) + '\062' + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\066' + '\062', 8), ehT0Px3KOsy9(chr(0b110000) + chr(3741 - 3630) + chr(51) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(0b110001) + chr(0b110010) + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(2584 - 2533) + chr(53), 2635 - 2627), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(54) + chr(49), 0b1000), ehT0Px3KOsy9(chr(1144 - 1096) + chr(0b1101111) + chr(1010 - 958) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101100 + 0o7) + chr(52) + '\067', 9250 - 9242), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\066' + chr(226 - 177), 8), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(12281 - 12170) + chr(1940 - 1889) + '\066' + chr(733 - 684), 805 - 797), ehT0Px3KOsy9(chr(724 - 676) + chr(111) + chr(51) + chr(0b1100 + 0o52) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b110000 + 0o77) + '\061' + chr(0b101100 + 0o12) + chr(1580 - 1528), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + '\x32' + '\066' + '\063', 0b1000), ehT0Px3KOsy9(chr(242 - 194) + chr(0b1000100 + 0o53) + chr(0b110011) + chr(54) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100110 + 0o111) + chr(49) + chr(0b11110 + 0o25) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(2718 - 2607) + '\061' + chr(0b110011) + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(9067 - 8956) + chr(0b1001 + 0o51) + chr(50) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(1059 - 1011) + chr(0b1101111) + chr(54) + '\x32', 8), ehT0Px3KOsy9('\x30' + chr(0b10110 + 0o131) + chr(0b110011) + chr(0b110100), 38177 - 38169), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10000 + 0o46) + chr(55), 53767 - 53759), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\066' + '\x33', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b110101 + 0o0) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(7933 - 7822) + chr(50) + chr(0b110111), 8688 - 8680), ehT0Px3KOsy9(chr(1028 - 980) + '\x6f' + chr(0b101000 + 0o11) + chr(2569 - 2517) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b101 + 0o54) + '\066', 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(0b10011 + 0o40) + chr(2734 - 2680) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(54) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(7876 - 7765) + chr(0b11001 + 0o31) + '\062' + chr(360 - 312), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\066' + chr(0b110011), 33933 - 33925), ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + chr(0b110111) + chr(0b111 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001100 + 0o43) + chr(0b110011) + '\064' + chr(0b110001 + 0o6), 8), ehT0Px3KOsy9('\060' + chr(2296 - 2185) + chr(0b110010 + 0o1) + chr(0b110011) + '\x31', 42586 - 42578), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b110000) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100011 + 0o14) + chr(0b110011) + chr(0b10101 + 0o35) + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(54) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\065' + '\x32', 11756 - 11748), ehT0Px3KOsy9(chr(999 - 951) + chr(7571 - 7460) + '\x35' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11101 + 0o26) + '\064' + chr(0b110101), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(11530 - 11419) + '\065' + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c'), chr(5330 - 5230) + '\145' + chr(3128 - 3029) + chr(111) + chr(0b100110 + 0o76) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def k2MoCw7MFKem(OeWW0F1dBPRQ, nEbJZ4wfte2w, **Dl7jGuYToI93):
if not PlSM16l2KDPD(OeWW0F1dBPRQ, (YyaZ4tpXu4lf, KNyTy8rYcwji)):
fuicxOb_BSkp = WqUC3KWvYVup.nauYfLglTpcb(OeWW0F1dBPRQ)[ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1000 + 0o51), 0o10)]
return OeWW0F1dBPRQ + nEbJZ4wfte2w[:, :fuicxOb_BSkp, :]
VRaYxwVeIO1g = ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(48), 62218 - 62210)
iIGKX2zSEGYP = []
for qrKMvKviNzHg in OeWW0F1dBPRQ:
fuicxOb_BSkp = WqUC3KWvYVup.nauYfLglTpcb(qrKMvKviNzHg)[ehT0Px3KOsy9('\060' + '\x6f' + '\061', 8)]
xafqLlk3kkUe(iIGKX2zSEGYP, xafqLlk3kkUe(SXOLrMavuUCe(b'S%\xa0Ws2'), chr(6519 - 6419) + chr(4172 - 4071) + chr(99) + chr(0b1101111) + '\144' + chr(0b111110 + 0o47))('\x75' + chr(0b110101 + 0o77) + '\x66' + chr(45) + chr(0b10101 + 0o43)))(qrKMvKviNzHg + nEbJZ4wfte2w[:, VRaYxwVeIO1g:VRaYxwVeIO1g + fuicxOb_BSkp, :])
VRaYxwVeIO1g += fuicxOb_BSkp
return iIGKX2zSEGYP
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/layers/attention.py
|
DotProductAttention
|
def DotProductAttention(query, key, value, mask, dropout, mode, rng):
"""Core dot product self-attention.
Args:
query: array of representations
key: array of representations
value: array of representations
mask: attention-mask, gates attention
dropout: float: dropout rate
mode: 'eval' or 'train': whether to use dropout
rng: JAX PRNGKey: subkey for disposable use
Returns:
Self attention for q, k, v arrays.
"""
depth = np.shape(query)[-1]
dots = np.matmul(query, np.swapaxes(key, -1, -2)) / np.sqrt(depth)
if mask is not None:
dots = np.where(mask, dots, -1e9)
# Softmax.
dots = np.exp(dots - backend.logsumexp(dots, axis=-1, keepdims=True))
if dropout >= 1.0:
raise ValueError('Dropout rates must be lower than 1.')
if dropout is not None and dropout > 0.0 and mode == 'train':
keep = backend.random.bernoulli(rng, 1.0 - dropout, dots.shape)
dots = np.where(keep, dots / (1.0 - dropout), 0)
out = np.matmul(dots, value)
return out
|
python
|
def DotProductAttention(query, key, value, mask, dropout, mode, rng):
"""Core dot product self-attention.
Args:
query: array of representations
key: array of representations
value: array of representations
mask: attention-mask, gates attention
dropout: float: dropout rate
mode: 'eval' or 'train': whether to use dropout
rng: JAX PRNGKey: subkey for disposable use
Returns:
Self attention for q, k, v arrays.
"""
depth = np.shape(query)[-1]
dots = np.matmul(query, np.swapaxes(key, -1, -2)) / np.sqrt(depth)
if mask is not None:
dots = np.where(mask, dots, -1e9)
# Softmax.
dots = np.exp(dots - backend.logsumexp(dots, axis=-1, keepdims=True))
if dropout >= 1.0:
raise ValueError('Dropout rates must be lower than 1.')
if dropout is not None and dropout > 0.0 and mode == 'train':
keep = backend.random.bernoulli(rng, 1.0 - dropout, dots.shape)
dots = np.where(keep, dots / (1.0 - dropout), 0)
out = np.matmul(dots, value)
return out
|
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Core dot product self-attention.
Args:
query: array of representations
key: array of representations
value: array of representations
mask: attention-mask, gates attention
dropout: float: dropout rate
mode: 'eval' or 'train': whether to use dropout
rng: JAX PRNGKey: subkey for disposable use
Returns:
Self attention for q, k, v arrays.
|
[
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/layers/attention.py#L130-L157
|
train
|
Core dot product self - 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' + chr(0b1100101 + 0o12) + chr(49) + chr(0b110 + 0o56) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101000 + 0o7) + '\061' + '\060' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(4885 - 4774) + '\x32' + chr(49) + chr(129 - 77), ord("\x08")), ehT0Px3KOsy9(chr(1650 - 1602) + chr(2480 - 2369) + chr(0b100000 + 0o22) + chr(48) + chr(1031 - 980), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011000 + 0o27) + '\x31' + '\063' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + chr(0b110011 + 0o0) + chr(0b110010) + '\x31', 4209 - 4201), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\060' + '\x31', 8463 - 8455), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(49) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1100 + 0o45) + chr(0b110000) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(51) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2576 - 2525) + chr(48) + chr(0b1101 + 0o43), 39067 - 39059), ehT0Px3KOsy9(chr(48) + chr(0b111010 + 0o65) + chr(1473 - 1423) + '\061' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(0b1100 + 0o45) + '\x34', 8889 - 8881), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(0b111 + 0o54) + chr(0b1110 + 0o51), 0o10), ehT0Px3KOsy9('\060' + chr(0b1110 + 0o141) + '\x33' + chr(51) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + chr(0b110001) + '\x34' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(5325 - 5214) + chr(2134 - 2084) + chr(0b110101) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(12074 - 11963) + chr(898 - 849) + chr(149 - 96) + chr(48), 0o10), ehT0Px3KOsy9(chr(1193 - 1145) + chr(0b1101111) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\x32' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + chr(418 - 369) + chr(48) + '\060', 8), ehT0Px3KOsy9(chr(1578 - 1530) + '\x6f' + chr(0b110010) + chr(1009 - 956) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5680 - 5569) + chr(1904 - 1854) + chr(0b1000 + 0o55) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1875 - 1764) + chr(51) + chr(0b110101) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(1877 - 1829) + '\x6f' + chr(49) + chr(51) + chr(0b110010 + 0o1), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(2161 - 2109) + chr(1765 - 1714), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11692 - 11581) + chr(318 - 264), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10034 - 9923) + chr(49) + chr(830 - 778) + chr(405 - 354), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\065' + chr(2070 - 2018), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(0b110011) + chr(0b100101 + 0o14), 8), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(54) + chr(319 - 269), ord("\x08")), ehT0Px3KOsy9(chr(1825 - 1777) + chr(111) + chr(1973 - 1923), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(51) + '\x36' + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(50) + chr(0b101 + 0o62), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\063' + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(1731 - 1620) + chr(0b110001) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(2077 - 2029) + '\x6f' + '\061' + '\067' + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10 + 0o155) + '\x32' + chr(53) + '\x34', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(1199 - 1148) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x36' + '\x33', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1854 - 1806) + chr(0b1010001 + 0o36) + chr(0b110101) + chr(0b110000), 52258 - 52250)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'J'), '\144' + chr(101) + chr(407 - 308) + chr(0b11001 + 0o126) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b1110100) + '\x66' + chr(0b1011 + 0o42) + chr(808 - 752)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def _NU2WdUF8CU2(MgmdEYXEleNe, K3J4ZwSlE0sT, QmmgWUB13VCJ, Iz1jSgUKZDvt, ag0mwEgWzjYv, holLFgwB7vsP, OKPXzuZwN61O):
UEys4_lSwsID = WqUC3KWvYVup.nauYfLglTpcb(MgmdEYXEleNe)[-ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1001 + 0o50), 0b1000)]
TrXrGgKVDY3l = WqUC3KWvYVup.matmul(MgmdEYXEleNe, WqUC3KWvYVup.swapaxes(K3J4ZwSlE0sT, -ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b111010 + 0o65) + chr(49), 8), -ehT0Px3KOsy9(chr(0b110000) + chr(7459 - 7348) + chr(50), 8))) / WqUC3KWvYVup.sqrt(UEys4_lSwsID)
if Iz1jSgUKZDvt is not None:
TrXrGgKVDY3l = WqUC3KWvYVup.dRFAC59yQBm_(Iz1jSgUKZDvt, TrXrGgKVDY3l, -1000000000.0)
TrXrGgKVDY3l = WqUC3KWvYVup.exp(TrXrGgKVDY3l - bwojgsUvRJpy.logsumexp(TrXrGgKVDY3l, axis=-ehT0Px3KOsy9('\x30' + chr(10153 - 10042) + chr(49), 8), keepdims=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31', 8)))
if ag0mwEgWzjYv >= 1.0:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b' 0\xe3\xf36\xa45o2\xb8\xb4\xeb\xbf\xbf\xb5\x10\xda\x1c$\xf3%\x8c\xc6\x85,FtCX1Sl\xd5\xe6t'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(0b1000100 + 0o40) + chr(0b1011110 + 0o7))('\x75' + chr(0b1110100) + '\x66' + '\x2d' + chr(0b111000)))
if ag0mwEgWzjYv is not None and ag0mwEgWzjYv > 0.0 and (holLFgwB7vsP == xafqLlk3kkUe(SXOLrMavuUCe(b'\x100\xed\xea7'), chr(0b11011 + 0o111) + '\145' + '\143' + chr(0b101110 + 0o101) + chr(100) + chr(0b1100101))(chr(117) + '\x74' + chr(3365 - 3263) + chr(0b110 + 0o47) + '\x38')):
KYBTv50xVjCE = bwojgsUvRJpy.random.bernoulli(OKPXzuZwN61O, 1.0 - ag0mwEgWzjYv, TrXrGgKVDY3l.nauYfLglTpcb)
TrXrGgKVDY3l = WqUC3KWvYVup.dRFAC59yQBm_(KYBTv50xVjCE, TrXrGgKVDY3l / (1.0 - ag0mwEgWzjYv), ehT0Px3KOsy9('\060' + '\157' + '\x30', 0o10))
UkrMp_I0RDmo = WqUC3KWvYVup.matmul(TrXrGgKVDY3l, QmmgWUB13VCJ)
return UkrMp_I0RDmo
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/layers/attention.py
|
PureDotProductAttention
|
def PureDotProductAttention(dropout=0.0, mode='train'):
"""Pure single-headed self-attention.
Args:
dropout: float: dropout rate
mode: str: 'train' or 'eval'
Returns:
Pure single-headed attention layer. (No Dense transforms on input.)
"""
def init_fun(_, input_shapes): # pylint: disable=invalid-name
q_shape, _, v_shape, _ = input_shapes
output_shape = q_shape[:-1] + (v_shape[-1],)
return output_shape, ()
def apply_fun(params, inputs, **kwargs): # pylint: disable=invalid-name
del params
q, k, v, mask = inputs
rng = kwargs.get('rng', None)
return DotProductAttention(q, k, v, mask,
dropout=dropout, mode=mode, rng=rng)
return init_fun, apply_fun
|
python
|
def PureDotProductAttention(dropout=0.0, mode='train'):
"""Pure single-headed self-attention.
Args:
dropout: float: dropout rate
mode: str: 'train' or 'eval'
Returns:
Pure single-headed attention layer. (No Dense transforms on input.)
"""
def init_fun(_, input_shapes): # pylint: disable=invalid-name
q_shape, _, v_shape, _ = input_shapes
output_shape = q_shape[:-1] + (v_shape[-1],)
return output_shape, ()
def apply_fun(params, inputs, **kwargs): # pylint: disable=invalid-name
del params
q, k, v, mask = inputs
rng = kwargs.get('rng', None)
return DotProductAttention(q, k, v, mask,
dropout=dropout, mode=mode, rng=rng)
return init_fun, apply_fun
|
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] |
Pure single-headed self-attention.
Args:
dropout: float: dropout rate
mode: str: 'train' or 'eval'
Returns:
Pure single-headed attention layer. (No Dense transforms on input.)
|
[
"Pure",
"single",
"-",
"headed",
"self",
"-",
"attention",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/layers/attention.py#L161-L181
|
train
|
Pure single - headed self - 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('\060' + '\157' + chr(2236 - 2186) + chr(0b110010) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11 + 0o56) + '\x30' + '\x31', 0o10), ehT0Px3KOsy9(chr(1530 - 1482) + '\157' + chr(0b11100 + 0o27) + '\062' + chr(0b110001), 49477 - 49469), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110100) + chr(55), 0b1000), ehT0Px3KOsy9(chr(2186 - 2138) + chr(111) + chr(0b110011) + chr(0b101100 + 0o11) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + chr(120 - 71) + chr(0b10000 + 0o41) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\x30' + chr(2409 - 2357), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b100101 + 0o112) + chr(2208 - 2157) + chr(0b101101 + 0o5) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110001 + 0o76) + chr(0b110001) + chr(2615 - 2563) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(0b110000) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(1934 - 1886) + chr(2551 - 2499), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11048 - 10937) + chr(0b100100 + 0o17) + chr(52) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(7036 - 6925) + chr(1702 - 1648) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b111 + 0o53) + chr(308 - 255), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(51) + '\x30' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1100 + 0o50) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(167 - 117) + chr(0b110101) + '\060', 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + '\x31' + chr(0b11100 + 0o24) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(0b110010) + chr(0b1010 + 0o50) + '\061', 31364 - 31356), ehT0Px3KOsy9(chr(1096 - 1048) + chr(0b1100101 + 0o12) + chr(0b110011) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10101 + 0o36) + chr(852 - 798) + chr(1673 - 1619), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101101 + 0o2) + '\x31' + '\x32' + chr(0b11111 + 0o26), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b1011 + 0o47) + chr(120 - 66), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(0b1101 + 0o47) + chr(144 - 90), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(52 - 1) + chr(0b0 + 0o62), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(217 - 165) + '\x35', 0o10), ehT0Px3KOsy9(chr(2286 - 2238) + chr(0b1101111) + chr(1972 - 1922) + '\x34' + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(2184 - 2135) + '\x33', 27028 - 27020), ehT0Px3KOsy9(chr(48) + chr(2392 - 2281) + chr(0b100101 + 0o16) + '\x37' + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\x30' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11101 + 0o122) + '\062' + '\063' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(48) + chr(0b100010 + 0o23), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x37' + chr(437 - 385), 51631 - 51623), ehT0Px3KOsy9('\060' + '\157' + chr(2755 - 2701) + chr(381 - 333), 14113 - 14105), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\x36' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(9801 - 9690) + chr(49) + chr(0b10100 + 0o35) + chr(48), 31501 - 31493), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(261 - 207) + chr(0b100110 + 0o16), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(950 - 897) + chr(1767 - 1718), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\x35' + chr(0b110 + 0o52), 24716 - 24708), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(4880 - 4769) + chr(1784 - 1733) + chr(53) + chr(0b110110), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(8604 - 8493) + chr(505 - 452) + chr(0b101010 + 0o6), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xba'), '\144' + chr(5785 - 5684) + '\143' + '\157' + chr(0b1000010 + 0o42) + '\x65')('\x75' + chr(0b1110100) + chr(102) + chr(0b101101) + chr(0b1011 + 0o55)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def dSATHaNXeJ4g(ag0mwEgWzjYv=0.0, holLFgwB7vsP=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe03\xb0N\x85'), '\x64' + chr(5008 - 4907) + chr(99) + '\157' + chr(0b1100100) + chr(0b1100101))('\165' + chr(0b1110100) + chr(8234 - 8132) + chr(45) + chr(1202 - 1146))):
def mdpzOVANxhwe(VNGQdHSFPrso, MUaMiwsTdGeu):
(bV3E74M7V2fY, VNGQdHSFPrso, _scwsQi3kRvo, VNGQdHSFPrso) = MUaMiwsTdGeu
CeP8heSqnrCd = bV3E74M7V2fY[:-ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001), 8297 - 8289)] + (_scwsQi3kRvo[-ehT0Px3KOsy9('\060' + chr(0b10011 + 0o134) + chr(0b1 + 0o60), 8)],)
return (CeP8heSqnrCd, ())
def cBVoE8z03m8T(nEbJZ4wfte2w, vXoupepMtCXU, **M8EIoTs2GJXE):
del nEbJZ4wfte2w
(WtwjCI_b3w8O, OolUPRJhRaJd, cMbll0QYhULo, Iz1jSgUKZDvt) = vXoupepMtCXU
OKPXzuZwN61O = M8EIoTs2GJXE.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6/\xb6'), '\x64' + chr(5607 - 5506) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(8802 - 8701))('\165' + '\x74' + chr(102) + chr(0b11101 + 0o20) + chr(56)), None)
return _NU2WdUF8CU2(WtwjCI_b3w8O, OolUPRJhRaJd, cMbll0QYhULo, Iz1jSgUKZDvt, dropout=ag0mwEgWzjYv, mode=holLFgwB7vsP, rng=OKPXzuZwN61O)
return (mdpzOVANxhwe, cBVoE8z03m8T)
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/layers/attention.py
|
PureMultiHeadedAttention
|
def PureMultiHeadedAttention(x, params, num_heads=8, dropout=0.0,
mode='train', **kwargs):
"""Pure transformer-style multi-headed attention.
Args:
x: inputs ((q, k, v), mask)
params: parameters (none)
num_heads: int: number of attention heads
dropout: float: dropout rate
mode: str: 'train' or 'eval'
**kwargs: other arguments including the rng
Returns:
Pure Multi-headed attention layer (no Dense transforms on input).
"""
del params
rng = kwargs.get('rng', None)
(q, k, v), mask = x
feature_depth = q.shape[-1]
assert feature_depth % num_heads == 0
head_depth = feature_depth // num_heads
nbatch = np.shape(q)[0]
# nbatch, seqlen, feature_depth --> nbatch, num_heads, seqlen, head_depth
def SplitHeads(x):
return np.transpose(
np.reshape(x, (nbatch, -1, num_heads, head_depth)), (0, 2, 1, 3))
# nbatch, num_heads, seqlen, head_depth --> nbatch, seqlen, feature_depth
def JoinHeads(x): # pylint: disable=invalid-name
return np.reshape(
np.transpose(x, (0, 2, 1, 3)), (nbatch, -1, num_heads*head_depth))
# Split heads, dot-product attention, rejoin heads.
return JoinHeads(
DotProductAttention(
SplitHeads(q), SplitHeads(k), SplitHeads(v), mask,
dropout=dropout, mode=mode, rng=rng))
|
python
|
def PureMultiHeadedAttention(x, params, num_heads=8, dropout=0.0,
mode='train', **kwargs):
"""Pure transformer-style multi-headed attention.
Args:
x: inputs ((q, k, v), mask)
params: parameters (none)
num_heads: int: number of attention heads
dropout: float: dropout rate
mode: str: 'train' or 'eval'
**kwargs: other arguments including the rng
Returns:
Pure Multi-headed attention layer (no Dense transforms on input).
"""
del params
rng = kwargs.get('rng', None)
(q, k, v), mask = x
feature_depth = q.shape[-1]
assert feature_depth % num_heads == 0
head_depth = feature_depth // num_heads
nbatch = np.shape(q)[0]
# nbatch, seqlen, feature_depth --> nbatch, num_heads, seqlen, head_depth
def SplitHeads(x):
return np.transpose(
np.reshape(x, (nbatch, -1, num_heads, head_depth)), (0, 2, 1, 3))
# nbatch, num_heads, seqlen, head_depth --> nbatch, seqlen, feature_depth
def JoinHeads(x): # pylint: disable=invalid-name
return np.reshape(
np.transpose(x, (0, 2, 1, 3)), (nbatch, -1, num_heads*head_depth))
# Split heads, dot-product attention, rejoin heads.
return JoinHeads(
DotProductAttention(
SplitHeads(q), SplitHeads(k), SplitHeads(v), mask,
dropout=dropout, mode=mode, rng=rng))
|
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] |
Pure transformer-style multi-headed attention.
Args:
x: inputs ((q, k, v), mask)
params: parameters (none)
num_heads: int: number of attention heads
dropout: float: dropout rate
mode: str: 'train' or 'eval'
**kwargs: other arguments including the rng
Returns:
Pure Multi-headed attention layer (no Dense transforms on input).
|
[
"Pure",
"transformer",
"-",
"style",
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"-",
"headed",
"attention",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/layers/attention.py#L192-L226
|
train
|
Pure Transformer - style multi - headed 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(48) + '\157' + '\x31' + chr(0b110011) + chr(580 - 531), 57196 - 57188), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(308 - 259) + '\x31', 38866 - 38858), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b110000 + 0o5) + chr(1087 - 1032), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(0b11001 + 0o32) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(54) + chr(2626 - 2574), 62074 - 62066), ehT0Px3KOsy9('\060' + chr(9259 - 9148) + '\061' + chr(0b101111 + 0o7) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b101010 + 0o105) + chr(51) + '\x35' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(293 - 245) + chr(9949 - 9838) + '\066' + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(53) + chr(2038 - 1983), 0b1000), ehT0Px3KOsy9('\x30' + chr(210 - 99) + '\062' + '\x35' + chr(0b100 + 0o63), 0o10), ehT0Px3KOsy9(chr(1133 - 1085) + chr(0b110000 + 0o77) + '\063' + chr(0b100010 + 0o22) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b101101 + 0o7) + '\x32', 0o10), ehT0Px3KOsy9(chr(873 - 825) + chr(0b11001 + 0o126) + chr(0b110010) + chr(0b1111 + 0o42) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(1964 - 1915) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(52) + chr(2062 - 2014), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b100 + 0o61) + '\x31', 51921 - 51913), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(48) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(909 - 858) + '\x32' + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + '\063' + chr(2233 - 2182) + chr(0b10000 + 0o43), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1000000 + 0o57) + chr(0b10 + 0o57) + '\x34' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + '\062' + chr(253 - 199), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11011 + 0o27) + chr(0b110100) + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b10000 + 0o137) + chr(50) + chr(55) + chr(1182 - 1128), 0o10), ehT0Px3KOsy9('\x30' + chr(0b11100 + 0o123) + chr(1661 - 1612) + '\x36' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(83 - 35) + chr(0b1101111) + '\x32' + '\065' + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(881 - 826), ord("\x08")), ehT0Px3KOsy9(chr(1486 - 1438) + chr(0b1101111) + chr(2456 - 2406) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(54) + '\065', 0b1000), ehT0Px3KOsy9(chr(1584 - 1536) + chr(0b1101111) + chr(1979 - 1929) + chr(939 - 891) + chr(1976 - 1927), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + chr(512 - 461) + chr(0b10 + 0o56) + '\063', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x35' + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\065' + chr(49), 62747 - 62739), ehT0Px3KOsy9(chr(0b110000) + chr(533 - 422) + '\061' + '\066' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + chr(770 - 721) + '\x34' + '\061', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(53) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010010 + 0o35) + chr(50) + chr(0b110100) + chr(0b110010), 8), ehT0Px3KOsy9(chr(814 - 766) + '\157' + chr(994 - 943) + '\067' + '\x36', 4496 - 4488), ehT0Px3KOsy9('\060' + chr(0b10001 + 0o136) + '\x34' + chr(0b110110), 3179 - 3171), ehT0Px3KOsy9('\060' + chr(0b111100 + 0o63) + '\x32' + '\064' + chr(0b11001 + 0o34), 23844 - 23836)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11110 + 0o27) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'w'), chr(0b10 + 0o142) + chr(0b1100101) + '\143' + '\x6f' + chr(0b1100100) + '\145')('\165' + chr(0b1110100) + chr(102) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def CILieabbLTcu(OeWW0F1dBPRQ, nEbJZ4wfte2w, vRVqPOZ1hUG7=ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + '\x30', 0o10), ag0mwEgWzjYv=0.0, holLFgwB7vsP=xafqLlk3kkUe(SXOLrMavuUCe(b'-{\x0e\xf5\x1a'), chr(100) + chr(1778 - 1677) + chr(0b1011110 + 0o5) + chr(111) + '\x64' + chr(7042 - 6941))(chr(12416 - 12299) + '\x74' + '\x66' + '\055' + chr(0b1011 + 0o55)), **M8EIoTs2GJXE):
del nEbJZ4wfte2w
OKPXzuZwN61O = M8EIoTs2GJXE.get(xafqLlk3kkUe(SXOLrMavuUCe(b'+g\x08'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\x6f' + '\x64' + chr(8662 - 8561))(chr(12272 - 12155) + chr(116) + chr(102) + chr(45) + chr(0b111000)), None)
((WtwjCI_b3w8O, OolUPRJhRaJd, cMbll0QYhULo), Iz1jSgUKZDvt) = OeWW0F1dBPRQ
E1c_5v_Zd9l8 = WtwjCI_b3w8O.nauYfLglTpcb[-ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b11110 + 0o121) + chr(0b110001), 8)]
assert E1c_5v_Zd9l8 % vRVqPOZ1hUG7 == ehT0Px3KOsy9(chr(0b110000) + '\157' + '\060', 0b1000)
Z3xuSOR8SJGq = E1c_5v_Zd9l8 // vRVqPOZ1hUG7
JCGDCYWPlTCn = WqUC3KWvYVup.nauYfLglTpcb(WtwjCI_b3w8O)[ehT0Px3KOsy9('\x30' + '\x6f' + '\060', 8)]
def dtGK868aoj8U(OeWW0F1dBPRQ):
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'-{\x0e\xf2\x07\x06\x86C\x8a'), '\144' + '\145' + '\143' + chr(0b1101111) + chr(100) + chr(0b10001 + 0o124))(chr(117) + chr(0b111010 + 0o72) + '\146' + chr(45) + chr(56)))(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'+l\x1c\xf4\x15\x06\x8c'), chr(3586 - 3486) + chr(0b1100101) + '\143' + '\157' + '\144' + '\x65')(chr(0b1110101) + '\x74' + chr(234 - 132) + chr(45) + chr(0b0 + 0o70)))(OeWW0F1dBPRQ, (JCGDCYWPlTCn, -ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001), 8), vRVqPOZ1hUG7, Z3xuSOR8SJGq)), (ehT0Px3KOsy9(chr(1991 - 1943) + chr(111) + chr(706 - 658), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(0b110001), 8), ehT0Px3KOsy9('\060' + chr(526 - 415) + chr(0b110011), ord("\x08"))))
def Wrp0ehzqHYCL(OeWW0F1dBPRQ):
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'+l\x1c\xf4\x15\x06\x8c'), chr(8328 - 8228) + chr(0b1100101) + '\143' + chr(0b1101111) + '\144' + chr(6183 - 6082))(chr(0b1101100 + 0o11) + chr(116) + chr(6568 - 6466) + chr(45) + '\070'))(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'-{\x0e\xf2\x07\x06\x86C\x8a'), '\144' + chr(101) + chr(0b100010 + 0o101) + chr(0b1101111) + chr(0b1100100) + chr(8090 - 7989))('\x75' + '\164' + chr(102) + chr(0b101101 + 0o0) + '\x38'))(OeWW0F1dBPRQ, (ehT0Px3KOsy9(chr(48) + chr(0b100010 + 0o115) + chr(0b110000), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(7078 - 6967) + chr(0b110001), 8), ehT0Px3KOsy9('\060' + chr(12004 - 11893) + chr(0b100 + 0o57), 8))), (JCGDCYWPlTCn, -ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10101 + 0o34), 8), vRVqPOZ1hUG7 * Z3xuSOR8SJGq))
return Wrp0ehzqHYCL(_NU2WdUF8CU2(dtGK868aoj8U(WtwjCI_b3w8O), dtGK868aoj8U(OolUPRJhRaJd), dtGK868aoj8U(cMbll0QYhULo), Iz1jSgUKZDvt, dropout=ag0mwEgWzjYv, mode=holLFgwB7vsP, rng=OKPXzuZwN61O))
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/layers/attention.py
|
MultiHeadedAttentionQKV
|
def MultiHeadedAttentionQKV(
feature_depth, num_heads=8, dropout=0.0, mode='train'):
"""Transformer-style multi-headed attention.
Accepts inputs of the form (q, k, v), mask.
Args:
feature_depth: int: depth of embedding
num_heads: int: number of attention heads
dropout: float: dropout rate
mode: str: 'train' or 'eval'
Returns:
Multi-headed self-attention layer.
"""
return combinators.Serial(
combinators.Parallel(
combinators.Parallel(
core.Dense(feature_depth),
core.Dense(feature_depth),
core.Dense(feature_depth),
),
combinators.Identity()
),
PureMultiHeadedAttention( # pylint: disable=no-value-for-parameter
feature_depth=feature_depth, num_heads=num_heads,
dropout=dropout, mode=mode),
core.Dense(feature_depth),
)
|
python
|
def MultiHeadedAttentionQKV(
feature_depth, num_heads=8, dropout=0.0, mode='train'):
"""Transformer-style multi-headed attention.
Accepts inputs of the form (q, k, v), mask.
Args:
feature_depth: int: depth of embedding
num_heads: int: number of attention heads
dropout: float: dropout rate
mode: str: 'train' or 'eval'
Returns:
Multi-headed self-attention layer.
"""
return combinators.Serial(
combinators.Parallel(
combinators.Parallel(
core.Dense(feature_depth),
core.Dense(feature_depth),
core.Dense(feature_depth),
),
combinators.Identity()
),
PureMultiHeadedAttention( # pylint: disable=no-value-for-parameter
feature_depth=feature_depth, num_heads=num_heads,
dropout=dropout, mode=mode),
core.Dense(feature_depth),
)
|
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] |
Transformer-style multi-headed attention.
Accepts inputs of the form (q, k, v), mask.
Args:
feature_depth: int: depth of embedding
num_heads: int: number of attention heads
dropout: float: dropout rate
mode: str: 'train' or 'eval'
Returns:
Multi-headed self-attention layer.
|
[
"Transformer",
"-",
"style",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/layers/attention.py#L229-L257
|
train
|
Transformer - style multi - headed attention.
Accepts inputs of the form q k v mask.
|
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(0b1111 + 0o43) + chr(2294 - 2243) + '\x34', 37004 - 36996), ehT0Px3KOsy9('\x30' + chr(0b110100 + 0o73) + '\062' + chr(48) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10011 + 0o40) + '\065' + chr(0b10100 + 0o35), 38412 - 38404), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100010 + 0o20) + '\067' + '\x30', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(52) + chr(54), 21936 - 21928), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(54) + chr(0b10000 + 0o43), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8617 - 8506) + chr(0b110110) + '\064', 44877 - 44869), ehT0Px3KOsy9('\x30' + '\157' + '\x36' + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1758 - 1707) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3093 - 2982) + chr(49) + chr(0b1111 + 0o47) + chr(1789 - 1740), 26088 - 26080), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\065' + chr(356 - 302), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1161 - 1111) + '\x31' + '\063', 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + chr(1195 - 1146) + chr(0b10110 + 0o34) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(50) + chr(0b101000 + 0o11) + '\x33', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101 + 0o0) + chr(54), 25215 - 25207), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b100101 + 0o112) + chr(0b101 + 0o54) + chr(48) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1965 - 1914) + chr(0b110011) + '\062', 54387 - 54379), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001111 + 0o40) + chr(50) + chr(185 - 130) + chr(0b1010 + 0o46), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(54) + chr(48), 41479 - 41471), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(817 - 764) + chr(2276 - 2222), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b110000) + chr(0b100011 + 0o15), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\062' + '\x31', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\064' + chr(1667 - 1613), 17097 - 17089), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\060' + '\067', 35134 - 35126), ehT0Px3KOsy9(chr(511 - 463) + chr(0b111111 + 0o60) + chr(0b110010) + chr(55) + '\x37', 31313 - 31305), ehT0Px3KOsy9(chr(0b110000) + chr(1045 - 934) + '\061' + chr(55) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1041 - 990) + chr(309 - 260) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(1767 - 1719) + chr(55), 8), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(3686 - 3575) + chr(0b1 + 0o61) + chr(0b110100) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10011 + 0o134) + chr(0b100010 + 0o21) + chr(53) + '\x31', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(1023 - 974) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1510 - 1459) + '\064' + chr(0b101110 + 0o4), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1010 + 0o50) + '\062' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101 + 0o56) + chr(0b100100 + 0o23) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1034 - 923) + chr(1019 - 969) + '\067' + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1111 + 0o42) + chr(0b10010 + 0o36) + chr(0b100110 + 0o14), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(1413 - 1359), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + '\067' + chr(0b1000 + 0o52), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(0b10101 + 0o36) + chr(0b110101), 24645 - 24637)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1476 - 1423) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2'), chr(1716 - 1616) + chr(0b1100101) + '\143' + chr(0b10 + 0o155) + chr(0b11000 + 0o114) + chr(286 - 185))('\x75' + chr(116) + '\x66' + '\055' + chr(0b11110 + 0o32)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def nSoiZOmunthJ(E1c_5v_Zd9l8, vRVqPOZ1hUG7=ehT0Px3KOsy9(chr(2298 - 2250) + '\x6f' + chr(0b110001) + chr(0b110000), 38967 - 38959), ag0mwEgWzjYv=0.0, holLFgwB7vsP=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xf2\x88B\xd6'), chr(4646 - 4546) + '\145' + '\x63' + chr(0b1101111) + chr(0b1100100) + '\x65')('\165' + chr(116) + chr(0b110000 + 0o66) + '\055' + chr(744 - 688))):
return xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf\xe5\x9bB\xd9\x8a'), chr(5998 - 5898) + chr(101) + '\143' + '\157' + chr(100) + chr(8067 - 7966))(chr(4575 - 4458) + chr(0b1101101 + 0o7) + chr(0b10 + 0o144) + chr(1404 - 1359) + chr(2101 - 2045)))(xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\xe1\x9bJ\xd4\x8a\xd6X'), chr(2498 - 2398) + '\145' + '\x63' + '\157' + chr(0b1100100) + '\x65')(chr(0b1001010 + 0o53) + '\x74' + chr(330 - 228) + chr(451 - 406) + chr(228 - 172)))(xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\xe1\x9bJ\xd4\x8a\xd6X'), '\144' + chr(0b1100101) + '\143' + chr(6247 - 6136) + chr(100) + chr(0b1100101))('\x75' + chr(0b1010001 + 0o43) + chr(6632 - 6530) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(d9fhmi4XXZ1X, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\xe5\x87X\xdd'), chr(0b1001010 + 0o32) + chr(2334 - 2233) + chr(0b1001111 + 0o24) + chr(111) + '\144' + chr(0b1100101))(chr(117) + '\164' + chr(1882 - 1780) + '\x2d' + chr(0b101111 + 0o11)))(E1c_5v_Zd9l8), xafqLlk3kkUe(d9fhmi4XXZ1X, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\xe5\x87X\xdd'), chr(0b1010111 + 0o15) + chr(0b1100101) + chr(9622 - 9523) + chr(0b110111 + 0o70) + chr(0b1100010 + 0o2) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(45) + '\070'))(E1c_5v_Zd9l8), xafqLlk3kkUe(d9fhmi4XXZ1X, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\xe5\x87X\xdd'), '\144' + chr(0b1100101) + chr(0b1100011) + '\157' + chr(829 - 729) + '\145')(chr(6762 - 6645) + chr(0b1110100) + chr(3489 - 3387) + '\x2d' + chr(0b111000)))(E1c_5v_Zd9l8)), xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\xe4\x8cE\xcc\x8f\xc7M'), '\x64' + '\145' + chr(5825 - 5726) + chr(0b101101 + 0o102) + chr(4883 - 4783) + '\x65')(chr(0b111100 + 0o71) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b111000)))()), CILieabbLTcu(feature_depth=E1c_5v_Zd9l8, num_heads=vRVqPOZ1hUG7, dropout=ag0mwEgWzjYv, mode=holLFgwB7vsP), xafqLlk3kkUe(d9fhmi4XXZ1X, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\xe5\x87X\xdd'), chr(100) + chr(101) + chr(1063 - 964) + chr(0b1101111) + chr(100) + chr(8270 - 8169))(chr(0b1110101) + chr(9531 - 9415) + '\x66' + chr(0b101100 + 0o1) + '\x38'))(E1c_5v_Zd9l8))
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/layers/attention.py
|
MultiHeadedAttention
|
def MultiHeadedAttention(
feature_depth, num_heads=8, dropout=0.0, mode='train'):
"""Transformer-style multi-headed attention.
Accepts inputs of the form (x, mask) and constructs (q, k, v) from x.
Args:
feature_depth: int: depth of embedding
num_heads: int: number of attention heads
dropout: float: dropout rate
mode: str: 'train' or 'eval'
Returns:
Multi-headed self-attention layer.
"""
return combinators.Serial(
combinators.Parallel(
combinators.Branch(num_branches=3), # q = k = v = first input
combinators.Identity() # pass the mask
),
MultiHeadedAttentionQKV( # pylint: disable=no-value-for-parameter
feature_depth, num_heads=num_heads, dropout=dropout, mode=mode),
)
|
python
|
def MultiHeadedAttention(
feature_depth, num_heads=8, dropout=0.0, mode='train'):
"""Transformer-style multi-headed attention.
Accepts inputs of the form (x, mask) and constructs (q, k, v) from x.
Args:
feature_depth: int: depth of embedding
num_heads: int: number of attention heads
dropout: float: dropout rate
mode: str: 'train' or 'eval'
Returns:
Multi-headed self-attention layer.
"""
return combinators.Serial(
combinators.Parallel(
combinators.Branch(num_branches=3), # q = k = v = first input
combinators.Identity() # pass the mask
),
MultiHeadedAttentionQKV( # pylint: disable=no-value-for-parameter
feature_depth, num_heads=num_heads, dropout=dropout, mode=mode),
)
|
[
"def",
"MultiHeadedAttention",
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",",
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"=",
"8",
",",
"dropout",
"=",
"0.0",
",",
"mode",
"=",
"'train'",
")",
":",
"return",
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"Serial",
"(",
"combinators",
".",
"Parallel",
"(",
"combinators",
".",
"Branch",
"(",
"num_branches",
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"3",
")",
",",
"# q = k = v = first input",
"combinators",
".",
"Identity",
"(",
")",
"# pass the mask",
")",
",",
"MultiHeadedAttentionQKV",
"(",
"# pylint: disable=no-value-for-parameter",
"feature_depth",
",",
"num_heads",
"=",
"num_heads",
",",
"dropout",
"=",
"dropout",
",",
"mode",
"=",
"mode",
")",
",",
")"
] |
Transformer-style multi-headed attention.
Accepts inputs of the form (x, mask) and constructs (q, k, v) from x.
Args:
feature_depth: int: depth of embedding
num_heads: int: number of attention heads
dropout: float: dropout rate
mode: str: 'train' or 'eval'
Returns:
Multi-headed self-attention layer.
|
[
"Transformer",
"-",
"style",
"multi",
"-",
"headed",
"attention",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/layers/attention.py#L260-L282
|
train
|
Transformer - style multi - headed attention.
Accepts inputs of the form x mask and constructs q k v from x.
|
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(5434 - 5323) + '\x31' + chr(0b110101) + '\064', 0b1000), ehT0Px3KOsy9(chr(2182 - 2134) + chr(0b101001 + 0o106) + chr(0b1110 + 0o45) + chr(220 - 171) + chr(828 - 776), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(50) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4894 - 4783) + chr(742 - 691) + chr(826 - 771) + chr(49), 55056 - 55048), ehT0Px3KOsy9(chr(2289 - 2241) + chr(0b1101111) + chr(0b100110 + 0o14) + chr(0b110100) + chr(471 - 422), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(51) + chr(48), 61535 - 61527), ehT0Px3KOsy9(chr(994 - 946) + chr(0b1101111) + '\061' + chr(1192 - 1141) + '\067', 10631 - 10623), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(570 - 520) + chr(54) + chr(2298 - 2249), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + chr(0b101111 + 0o4) + chr(0b110000) + chr(0b1101 + 0o51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(1109 - 1055) + chr(53), 10550 - 10542), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110000 + 0o3) + chr(0b110001) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(8209 - 8098) + chr(784 - 735) + chr(49) + chr(0b110001), 2999 - 2991), ehT0Px3KOsy9(chr(278 - 230) + chr(8463 - 8352) + '\x31' + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101110 + 0o1) + '\063' + chr(0b1 + 0o60) + chr(50), 43479 - 43471), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(54) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b110111) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(5067 - 4956) + '\062' + chr(783 - 735) + chr(582 - 534), 28507 - 28499), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + '\063' + chr(0b1001 + 0o50) + '\x33', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b10100 + 0o42) + chr(2125 - 2071), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + '\063' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(1734 - 1685) + '\x32' + '\061', 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + chr(0b100 + 0o55) + chr(2195 - 2140) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b110111) + '\066', 13041 - 13033), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(9373 - 9262) + chr(85 - 32) + chr(1081 - 1026), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(104 - 56) + '\157' + chr(0b110001) + '\062' + chr(473 - 420), 5230 - 5222), ehT0Px3KOsy9(chr(1256 - 1208) + '\157' + chr(0b110001) + chr(0b110010) + '\062', 53105 - 53097), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b100110 + 0o15) + chr(55), 58484 - 58476), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\x32' + chr(0b11111 + 0o22), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x37' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b111011 + 0o64) + '\x33' + '\x33' + chr(0b101101 + 0o4), 5506 - 5498), ehT0Px3KOsy9(chr(727 - 679) + chr(0b1011010 + 0o25) + chr(616 - 567) + '\061' + '\x30', 42880 - 42872), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(2066 - 2017) + chr(0b110100), 32710 - 32702), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + '\062' + chr(0b101100 + 0o5), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b10011 + 0o44) + chr(0b101 + 0o55), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(55) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10100 + 0o133) + chr(0b1000 + 0o51) + chr(1261 - 1212), 24673 - 24665), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010000 + 0o37) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + chr(50), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1 + 0o156) + chr(754 - 701) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'B'), chr(100) + chr(0b1110 + 0o127) + '\x63' + chr(0b100111 + 0o110) + chr(0b1100100) + chr(0b1000 + 0o135))('\x75' + chr(8010 - 7894) + chr(0b1011 + 0o133) + chr(0b1100 + 0o41) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def bxy3Um_OSkDU(E1c_5v_Zd9l8, vRVqPOZ1hUG7=ehT0Px3KOsy9(chr(597 - 549) + chr(2006 - 1895) + '\x31' + '\x30', 19433 - 19425), ag0mwEgWzjYv=0.0, holLFgwB7vsP=xafqLlk3kkUe(SXOLrMavuUCe(b'\x18\xbep\x90\xcf'), '\144' + chr(0b1100101) + chr(7924 - 7825) + chr(4610 - 4499) + '\144' + chr(101))('\165' + chr(0b110 + 0o156) + '\x66' + chr(211 - 166) + chr(56))):
return xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'?\xa9c\x90\xc0\xf4'), '\x64' + '\145' + chr(99) + chr(0b1100100 + 0o13) + chr(100) + '\x65')('\x75' + chr(0b11001 + 0o133) + '\146' + '\055' + chr(879 - 823)))(xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xadc\x98\xcd\xf4:\xdd'), chr(0b1010110 + 0o16) + chr(1087 - 986) + chr(99) + '\157' + '\144' + chr(0b1011110 + 0o7))(chr(0b1110101) + chr(0b100110 + 0o116) + chr(4896 - 4794) + chr(0b101101) + '\070'))(xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'.\xbep\x97\xc2\xf0'), chr(1603 - 1503) + chr(7932 - 7831) + chr(0b110100 + 0o57) + '\157' + '\x64' + '\x65')(chr(117) + chr(116) + chr(0b1111 + 0o127) + chr(1268 - 1223) + chr(309 - 253)))(num_branches=ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1000 + 0o147) + chr(51), 59033 - 59025)), xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'%\xa8t\x97\xd5\xf1+\xc8'), chr(0b1100100) + chr(0b111011 + 0o52) + '\143' + '\157' + '\x64' + chr(0b0 + 0o145))('\165' + chr(0b1110100) + chr(0b101001 + 0o75) + chr(45) + '\070'))()), nSoiZOmunthJ(E1c_5v_Zd9l8, num_heads=vRVqPOZ1hUG7, dropout=ag0mwEgWzjYv, mode=holLFgwB7vsP))
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/layers/attention.py
|
_chunked_selector_output_shape
|
def _chunked_selector_output_shape( # pylint: disable=invalid-name
input_shapes, selector=None, **unused_kwargs):
"""Helper: calculate output shape for chunked key selector (see below)."""
# Read the main function below first, the shape logic just follows the ops.
selector = selector or (lambda x: [] if x < 1 else [x-1])
triples, _ = zip(*input_shapes)
(query_shapes, key_shapes, value_shapes) = zip(*triples)
result = []
for i in range(len(input_shapes)):
selected = selector(i)
cur_key_shape, cur_value_shape = key_shapes[i], value_shapes[i]
# Since keys and values are [batch, length, depth] we concatenate on axis=1.
new_key_len = sum([key_shapes[j][1] for j in selected]) + cur_key_shape[1]
new_key_shape = (cur_key_shape[0], new_key_len, cur_key_shape[2])
new_value_len = sum(
[value_shapes[j][1] for j in selected]) + cur_value_shape[1]
new_value_shape = (cur_value_shape[0], new_value_len, cur_value_shape[2])
# Masks are (1, query-len, key-len).
new_mask_shape = (1, query_shapes[i][1], new_key_len)
new_shape = ((query_shapes[i], new_key_shape, new_value_shape),
new_mask_shape)
result.append(new_shape)
return tuple(result)
|
python
|
def _chunked_selector_output_shape( # pylint: disable=invalid-name
input_shapes, selector=None, **unused_kwargs):
"""Helper: calculate output shape for chunked key selector (see below)."""
# Read the main function below first, the shape logic just follows the ops.
selector = selector or (lambda x: [] if x < 1 else [x-1])
triples, _ = zip(*input_shapes)
(query_shapes, key_shapes, value_shapes) = zip(*triples)
result = []
for i in range(len(input_shapes)):
selected = selector(i)
cur_key_shape, cur_value_shape = key_shapes[i], value_shapes[i]
# Since keys and values are [batch, length, depth] we concatenate on axis=1.
new_key_len = sum([key_shapes[j][1] for j in selected]) + cur_key_shape[1]
new_key_shape = (cur_key_shape[0], new_key_len, cur_key_shape[2])
new_value_len = sum(
[value_shapes[j][1] for j in selected]) + cur_value_shape[1]
new_value_shape = (cur_value_shape[0], new_value_len, cur_value_shape[2])
# Masks are (1, query-len, key-len).
new_mask_shape = (1, query_shapes[i][1], new_key_len)
new_shape = ((query_shapes[i], new_key_shape, new_value_shape),
new_mask_shape)
result.append(new_shape)
return tuple(result)
|
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Helper: calculate output shape for chunked key selector (see below).
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/layers/attention.py#L286-L308
|
train
|
Helper function to calculate output shape for chunked key selector.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11011 + 0o30), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(49) + '\062', 0o10), ehT0Px3KOsy9(chr(244 - 196) + '\x6f' + chr(2023 - 1971) + chr(0b1 + 0o62), ord("\x08")), ehT0Px3KOsy9(chr(859 - 811) + chr(111) + '\x31' + chr(51) + chr(198 - 148), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(49) + chr(0b1010 + 0o55) + chr(2221 - 2169), 26778 - 26770), ehT0Px3KOsy9(chr(1195 - 1147) + chr(0b1101111) + chr(2368 - 2318) + chr(51) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100010 + 0o15) + chr(204 - 153) + chr(0b1111 + 0o50) + '\061', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\067' + '\x35', 0o10), ehT0Px3KOsy9('\x30' + chr(0b10011 + 0o134) + chr(0b11011 + 0o30) + chr(0b1000 + 0o50), 52305 - 52297), ehT0Px3KOsy9('\x30' + chr(111) + chr(2315 - 2265) + chr(48) + chr(1349 - 1300), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(908 - 797) + '\x37' + '\x31', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\x37' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(537 - 487) + '\x35' + chr(0b1010 + 0o54), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(2516 - 2463) + chr(1208 - 1159), 38397 - 38389), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(177 - 127) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b10001 + 0o41) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1000110 + 0o51) + chr(1771 - 1721) + chr(0b110001) + '\062', 8), ehT0Px3KOsy9(chr(1237 - 1189) + '\x6f' + '\x31' + chr(55) + '\064', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1100 + 0o46) + chr(1569 - 1517) + '\065', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x34' + chr(0b101011 + 0o13), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b11 + 0o154) + chr(1013 - 962) + '\x32' + '\x35', 0b1000), ehT0Px3KOsy9(chr(381 - 333) + chr(6504 - 6393) + '\062' + chr(55) + chr(518 - 464), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(1752 - 1702) + chr(0b10001 + 0o40), 0b1000), ehT0Px3KOsy9(chr(1667 - 1619) + chr(5946 - 5835) + chr(49) + chr(48) + chr(53), 53299 - 53291), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b111000 + 0o67) + chr(0b110010) + chr(1456 - 1403) + chr(0b11100 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(522 - 474) + chr(111) + '\x32' + chr(0b110111) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(6579 - 6468) + chr(0b110001) + chr(0b101011 + 0o12) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(55) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\060', 8), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\064' + chr(0b111 + 0o51), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + '\x31' + chr(0b110011) + chr(0b110010), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\061' + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b1111 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(1239 - 1191) + chr(111) + '\067', 0o10), ehT0Px3KOsy9(chr(536 - 488) + '\157' + chr(879 - 828) + chr(635 - 585) + chr(0b110011), 8), ehT0Px3KOsy9(chr(1891 - 1843) + chr(111) + '\x33' + '\067' + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\x37' + chr(55), 12879 - 12871), ehT0Px3KOsy9(chr(379 - 331) + chr(0b1101111) + chr(2254 - 2203) + chr(0b110101) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(53) + chr(0b110010 + 0o1), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x35' + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'-'), chr(291 - 191) + '\145' + chr(0b1100011) + '\x6f' + '\x64' + chr(101))(chr(117) + '\164' + chr(0b1100110) + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def qMSxQv6oQheu(MUaMiwsTdGeu, u1Y2G8z9rMnE=None, **Dl7jGuYToI93):
u1Y2G8z9rMnE = u1Y2G8z9rMnE or (lambda OeWW0F1dBPRQ: [] if OeWW0F1dBPRQ < ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(4690 - 4579) + chr(94 - 45), 31649 - 31641) else [OeWW0F1dBPRQ - ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001), 8)])
(Q5H3VbiDjnhr, VNGQdHSFPrso) = pZ0NK2y6HRbn(*MUaMiwsTdGeu)
(_QPOJ9hSq5M3, AHDKgXsP_TKu, HAffJV9kVemt) = pZ0NK2y6HRbn(*Q5H3VbiDjnhr)
ShZmEKfTkAOZ = []
for WVxHKyX45z_L in vQr8gNKaIaWE(c2A0yzQpDQB3(MUaMiwsTdGeu)):
YaoWvQOCAANk = u1Y2G8z9rMnE(WVxHKyX45z_L)
(Wr0ij65iCKBi, VhF8Avq6kA1G) = (AHDKgXsP_TKu[WVxHKyX45z_L], HAffJV9kVemt[WVxHKyX45z_L])
wU9nMx7bkVsD = xkxBmo49x2An([AHDKgXsP_TKu[tlORBuYsiw3X][ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061', 8)] for tlORBuYsiw3X in YaoWvQOCAANk]) + Wr0ij65iCKBi[ehT0Px3KOsy9('\x30' + chr(111) + chr(1697 - 1648), 8)]
nf_4UrV5qljr = (Wr0ij65iCKBi[ehT0Px3KOsy9(chr(285 - 237) + '\157' + '\x30', ord("\x08"))], wU9nMx7bkVsD, Wr0ij65iCKBi[ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b11101 + 0o122) + '\062', 0o10)])
VjkvSprlKNYX = xkxBmo49x2An([HAffJV9kVemt[tlORBuYsiw3X][ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31', 8)] for tlORBuYsiw3X in YaoWvQOCAANk]) + VhF8Avq6kA1G[ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101000 + 0o11), 8)]
S51IMUjL2Uwm = (VhF8Avq6kA1G[ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(9558 - 9447) + '\060', 8)], VjkvSprlKNYX, VhF8Avq6kA1G[ehT0Px3KOsy9(chr(1819 - 1771) + '\157' + '\062', 8)])
iwHAlN3WU5we = (ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1001011 + 0o44) + chr(0b110001), 8), _QPOJ9hSq5M3[WVxHKyX45z_L][ehT0Px3KOsy9(chr(48) + chr(0b1001001 + 0o46) + chr(1956 - 1907), 8)], wU9nMx7bkVsD)
P7dVzv6_yXeE = ((_QPOJ9hSq5M3[WVxHKyX45z_L], nf_4UrV5qljr, S51IMUjL2Uwm), iwHAlN3WU5we)
xafqLlk3kkUe(ShZmEKfTkAOZ, xafqLlk3kkUe(SXOLrMavuUCe(b'b\xfaS?\x12\xf9'), chr(0b1100100) + '\145' + '\143' + chr(0b100101 + 0o112) + '\x64' + chr(101))(chr(117) + '\164' + chr(102) + chr(0b101101) + '\070'))(P7dVzv6_yXeE)
return KNyTy8rYcwji(ShZmEKfTkAOZ)
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/layers/attention.py
|
ChunkedAttentionSelector
|
def ChunkedAttentionSelector(x, params, selector=None, **kwargs):
"""Select which chunks to attend to in chunked attention.
Args:
x: inputs, a list of elements of the form (q, k, v), mask for each chunk.
params: parameters (unused).
selector: a function from chunk_number -> list of chunk numbers that says
which other chunks should be appended to the given one (previous if None).
**kwargs: unused other arguments.
Returns:
a list of elements of the form (q, k', v'), mask' where k', v' and mask' are
concatenations of k, v and identity-extended masks from selected chunks.
"""
del params, kwargs
selector = selector or (lambda x: [] if x < 1 else [x-1])
triples, masks = zip(*x)
(queries, keys, values) = zip(*triples)
result = []
for i in range(len(x)):
selected = selector(i)
# Since keys and values are [batch, length, depth] we concatenate on axis=1.
# We also always include the current key or value at the end.
new_key_list = [keys[j] for j in selected]
new_key = np.concatenate(new_key_list + [keys[i]], axis=1)
new_value = np.concatenate(
[values[j] for j in selected] + [values[i]], axis=1)
# Masks are (1, query-len, key-len) so we concatenate on axis=2.
new_mask_shapes = [(1, queries[i].shape[1], key.shape[1])
for key in new_key_list]
cur_mask = masks[i]
# Masks are all-1 for the added chunks (no masking).
new_mask_list = [np.ones(s, dtype=cur_mask.dtype) for s in new_mask_shapes]
# We still use the current (often causal) mask for the final chunk.
new_mask = np.concatenate(new_mask_list + [cur_mask], axis=2)
result.append(((queries[i], new_key, new_value), new_mask))
return tuple(result)
|
python
|
def ChunkedAttentionSelector(x, params, selector=None, **kwargs):
"""Select which chunks to attend to in chunked attention.
Args:
x: inputs, a list of elements of the form (q, k, v), mask for each chunk.
params: parameters (unused).
selector: a function from chunk_number -> list of chunk numbers that says
which other chunks should be appended to the given one (previous if None).
**kwargs: unused other arguments.
Returns:
a list of elements of the form (q, k', v'), mask' where k', v' and mask' are
concatenations of k, v and identity-extended masks from selected chunks.
"""
del params, kwargs
selector = selector or (lambda x: [] if x < 1 else [x-1])
triples, masks = zip(*x)
(queries, keys, values) = zip(*triples)
result = []
for i in range(len(x)):
selected = selector(i)
# Since keys and values are [batch, length, depth] we concatenate on axis=1.
# We also always include the current key or value at the end.
new_key_list = [keys[j] for j in selected]
new_key = np.concatenate(new_key_list + [keys[i]], axis=1)
new_value = np.concatenate(
[values[j] for j in selected] + [values[i]], axis=1)
# Masks are (1, query-len, key-len) so we concatenate on axis=2.
new_mask_shapes = [(1, queries[i].shape[1], key.shape[1])
for key in new_key_list]
cur_mask = masks[i]
# Masks are all-1 for the added chunks (no masking).
new_mask_list = [np.ones(s, dtype=cur_mask.dtype) for s in new_mask_shapes]
# We still use the current (often causal) mask for the final chunk.
new_mask = np.concatenate(new_mask_list + [cur_mask], axis=2)
result.append(((queries[i], new_key, new_value), new_mask))
return tuple(result)
|
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] |
Select which chunks to attend to in chunked attention.
Args:
x: inputs, a list of elements of the form (q, k, v), mask for each chunk.
params: parameters (unused).
selector: a function from chunk_number -> list of chunk numbers that says
which other chunks should be appended to the given one (previous if None).
**kwargs: unused other arguments.
Returns:
a list of elements of the form (q, k', v'), mask' where k', v' and mask' are
concatenations of k, v and identity-extended masks from selected chunks.
|
[
"Select",
"which",
"chunks",
"to",
"attend",
"to",
"in",
"chunked",
"attention",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/layers/attention.py#L312-L348
|
train
|
Select which chunks to attend to in chunked 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(0b1111 + 0o41) + chr(0b1101111) + '\063' + chr(1142 - 1089) + chr(1897 - 1848), 0o10), ehT0Px3KOsy9(chr(208 - 160) + chr(111) + chr(2199 - 2148) + '\x30' + chr(0b1100 + 0o46), 15954 - 15946), ehT0Px3KOsy9(chr(1105 - 1057) + '\x6f' + chr(51) + chr(0b110001) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(274 - 225) + '\063' + chr(0b11101 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(1403 - 1355) + chr(0b111101 + 0o62) + chr(0b101001 + 0o11) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(3872 - 3761) + '\063' + chr(1545 - 1493) + chr(509 - 458), 51079 - 51071), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + '\x35' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\x33' + chr(0b11 + 0o61), 0o10), ehT0Px3KOsy9('\060' + chr(0b1100010 + 0o15) + '\062' + '\x37' + chr(0b110010), 21898 - 21890), ehT0Px3KOsy9('\060' + chr(0b10000 + 0o137) + '\064' + chr(2005 - 1950), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(710 - 661) + chr(55), 48089 - 48081), ehT0Px3KOsy9('\060' + chr(111) + '\065' + chr(1971 - 1918), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(518 - 467) + chr(49), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\x37' + chr(0b100101 + 0o13), 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(2291 - 2241) + '\x35' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(539 - 491) + chr(0b1101111) + chr(49) + '\066' + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(55) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + '\066' + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100000 + 0o21) + chr(0b110111) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(1404 - 1354) + chr(0b110010 + 0o4), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110101) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1100 + 0o46) + '\x33' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(522 - 474) + '\x6f' + chr(50) + '\x33', 0b1000), ehT0Px3KOsy9(chr(1618 - 1570) + chr(0b1011010 + 0o25) + chr(50) + '\x31' + '\062', 13156 - 13148), ehT0Px3KOsy9(chr(1569 - 1521) + chr(3142 - 3031) + chr(0b110011) + '\x30' + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1000 + 0o52) + '\064' + chr(2531 - 2480), ord("\x08")), ehT0Px3KOsy9(chr(136 - 88) + chr(111) + '\067' + chr(55), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b10 + 0o65) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(2937 - 2826) + chr(0b101001 + 0o14) + chr(0b100010 + 0o24), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(2156 - 2105) + '\061' + chr(1357 - 1306), 8), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + chr(0b11 + 0o56) + '\064' + chr(2334 - 2284), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\x37' + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10111 + 0o32) + chr(0b110110) + '\064', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(561 - 513) + '\x6f' + chr(644 - 593) + '\062' + chr(2779 - 2724), 0b1000), ehT0Px3KOsy9(chr(625 - 577) + '\157' + '\x33' + chr(0b1111 + 0o44) + chr(1403 - 1350), 0b1000), ehT0Px3KOsy9(chr(1114 - 1066) + chr(111) + chr(0b110111) + '\x34', 18958 - 18950), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(49) + chr(1977 - 1927), 45914 - 45906), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\061' + chr(750 - 700), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b110101) + '\x32', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(53) + chr(0b110000), 7245 - 7237)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7'), chr(1296 - 1196) + chr(4039 - 3938) + chr(0b1100001 + 0o2) + '\x6f' + chr(100) + chr(0b1100101))(chr(0b1110011 + 0o2) + '\x74' + chr(102) + chr(0b10011 + 0o32) + chr(1969 - 1913)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def DaBhuVh1vUZa(OeWW0F1dBPRQ, nEbJZ4wfte2w, u1Y2G8z9rMnE=None, **M8EIoTs2GJXE):
del nEbJZ4wfte2w, M8EIoTs2GJXE
u1Y2G8z9rMnE = u1Y2G8z9rMnE or (lambda OeWW0F1dBPRQ: [] if OeWW0F1dBPRQ < ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001), 0b1000) else [OeWW0F1dBPRQ - ehT0Px3KOsy9(chr(48) + chr(3341 - 3230) + chr(0b110001), 8)])
(Q5H3VbiDjnhr, iB_C7ejAba13) = pZ0NK2y6HRbn(*OeWW0F1dBPRQ)
(_T1HWn8BwCBy, w8H8C9ec5BO1, SPnCNu54H1db) = pZ0NK2y6HRbn(*Q5H3VbiDjnhr)
ShZmEKfTkAOZ = []
for WVxHKyX45z_L in vQr8gNKaIaWE(c2A0yzQpDQB3(OeWW0F1dBPRQ)):
YaoWvQOCAANk = u1Y2G8z9rMnE(WVxHKyX45z_L)
wLBSkdHAqrM1 = [w8H8C9ec5BO1[tlORBuYsiw3X] for tlORBuYsiw3X in YaoWvQOCAANk]
SSxlWed6Th7t = WqUC3KWvYVup.concatenate(wLBSkdHAqrM1 + [w8H8C9ec5BO1[WVxHKyX45z_L]], axis=ehT0Px3KOsy9('\x30' + '\157' + chr(49), 8))
Mi65arwcIK66 = WqUC3KWvYVup.concatenate([SPnCNu54H1db[tlORBuYsiw3X] for tlORBuYsiw3X in YaoWvQOCAANk] + [SPnCNu54H1db[WVxHKyX45z_L]], axis=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061', 8))
XURT_xAYvyMQ = [(ehT0Px3KOsy9('\x30' + '\157' + '\061', 8), _T1HWn8BwCBy[WVxHKyX45z_L].nauYfLglTpcb[ehT0Px3KOsy9('\x30' + chr(0b1001101 + 0o42) + '\061', 8)], K3J4ZwSlE0sT.nauYfLglTpcb[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101010 + 0o7), 8)]) for K3J4ZwSlE0sT in wLBSkdHAqrM1]
nPcJqXzuWMmI = iB_C7ejAba13[WVxHKyX45z_L]
eSxoi0QAKINa = [WqUC3KWvYVup.ones(vGrByMSYMp9h, dtype=nPcJqXzuWMmI.jSV9IKnemH7K) for vGrByMSYMp9h in XURT_xAYvyMQ]
rmZdi06ze3ez = WqUC3KWvYVup.concatenate(eSxoi0QAKINa + [nPcJqXzuWMmI], axis=ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1001 + 0o51), ord("\x08")))
xafqLlk3kkUe(ShZmEKfTkAOZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\xb2\xbb:~\x87'), chr(0b1100100) + chr(2967 - 2866) + chr(1114 - 1015) + '\157' + '\144' + '\145')(chr(0b10110 + 0o137) + chr(12369 - 12253) + chr(102) + chr(45) + '\x38'))(((_T1HWn8BwCBy[WVxHKyX45z_L], SSxlWed6Th7t, Mi65arwcIK66), rmZdi06ze3ez))
return KNyTy8rYcwji(ShZmEKfTkAOZ)
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/layers/attention.py
|
ChunkedCausalMultiHeadedAttention
|
def ChunkedCausalMultiHeadedAttention(
feature_depth, num_heads=8, dropout=0.0, chunk_selector=None, mode='train'):
"""Transformer-style causal multi-headed attention operating on chunks.
Accepts inputs that are a list of chunks and applies causal attention.
Args:
feature_depth: int: depth of embedding
num_heads: int: number of attention heads
dropout: float: dropout rate
chunk_selector: a function from chunk number to list of chunks to attend.
mode: str: 'train' or 'eval'
Returns:
Multi-headed self-attention layer.
"""
prepare_attention_input = combinators.Serial(
combinators.Branch(),
combinators.Parallel(
combinators.Branch(num_branches=3), # q = k = v = first input
CausalMask(axis=-2), # pylint: disable=no-value-for-parameter
),
combinators.Parallel(
combinators.Parallel(
core.Dense(feature_depth),
core.Dense(feature_depth),
core.Dense(feature_depth),
),
combinators.Identity()
)
)
return combinators.Serial(
combinators.Map(prepare_attention_input),
ChunkedAttentionSelector(selector=chunk_selector), # pylint: disable=no-value-for-parameter
combinators.Map(PureMultiHeadedAttention( # pylint: disable=no-value-for-parameter
feature_depth=feature_depth, num_heads=num_heads,
dropout=dropout, mode=mode), check_shapes=False),
combinators.Map(core.Dense(feature_depth))
)
|
python
|
def ChunkedCausalMultiHeadedAttention(
feature_depth, num_heads=8, dropout=0.0, chunk_selector=None, mode='train'):
"""Transformer-style causal multi-headed attention operating on chunks.
Accepts inputs that are a list of chunks and applies causal attention.
Args:
feature_depth: int: depth of embedding
num_heads: int: number of attention heads
dropout: float: dropout rate
chunk_selector: a function from chunk number to list of chunks to attend.
mode: str: 'train' or 'eval'
Returns:
Multi-headed self-attention layer.
"""
prepare_attention_input = combinators.Serial(
combinators.Branch(),
combinators.Parallel(
combinators.Branch(num_branches=3), # q = k = v = first input
CausalMask(axis=-2), # pylint: disable=no-value-for-parameter
),
combinators.Parallel(
combinators.Parallel(
core.Dense(feature_depth),
core.Dense(feature_depth),
core.Dense(feature_depth),
),
combinators.Identity()
)
)
return combinators.Serial(
combinators.Map(prepare_attention_input),
ChunkedAttentionSelector(selector=chunk_selector), # pylint: disable=no-value-for-parameter
combinators.Map(PureMultiHeadedAttention( # pylint: disable=no-value-for-parameter
feature_depth=feature_depth, num_heads=num_heads,
dropout=dropout, mode=mode), check_shapes=False),
combinators.Map(core.Dense(feature_depth))
)
|
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] |
Transformer-style causal multi-headed attention operating on chunks.
Accepts inputs that are a list of chunks and applies causal attention.
Args:
feature_depth: int: depth of embedding
num_heads: int: number of attention heads
dropout: float: dropout rate
chunk_selector: a function from chunk number to list of chunks to attend.
mode: str: 'train' or 'eval'
Returns:
Multi-headed self-attention layer.
|
[
"Transformer",
"-",
"style",
"causal",
"multi",
"-",
"headed",
"attention",
"operating",
"on",
"chunks",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/layers/attention.py#L351-L389
|
train
|
Transformer - style causal multi - headed attention operating on chunks.
|
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(349 - 300) + '\064' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(0b110001) + chr(52) + chr(1749 - 1698), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10001 + 0o40) + chr(0b110000) + chr(0b1 + 0o64), ord("\x08")), ehT0Px3KOsy9(chr(564 - 516) + chr(111) + chr(950 - 896) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + chr(1763 - 1712) + chr(2364 - 2311) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(273 - 225) + chr(111) + '\x34' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + '\061' + chr(0b1100 + 0o45) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + '\x33' + chr(0b100100 + 0o15) + '\x37', 19392 - 19384), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b0 + 0o65) + chr(0b1110 + 0o44), 38805 - 38797), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\067' + '\060', 0o10), ehT0Px3KOsy9(chr(754 - 706) + chr(0b110100 + 0o73) + chr(0b110010) + chr(49) + '\x36', 51181 - 51173), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(0b1100 + 0o52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b110100) + '\x34', 0b1000), ehT0Px3KOsy9(chr(1440 - 1392) + chr(1313 - 1202) + chr(50) + '\062' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(5325 - 5214) + '\061' + '\x34' + chr(916 - 865), 8), ehT0Px3KOsy9(chr(48) + chr(5754 - 5643) + '\062' + '\x32' + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11175 - 11064) + chr(0b101010 + 0o11) + chr(53) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1654 - 1606) + '\157' + '\x32' + '\x30' + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(52) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(441 - 393) + chr(0b1000110 + 0o51) + chr(1852 - 1802) + chr(0b101110 + 0o5) + chr(1289 - 1234), 21582 - 21574), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + '\x32' + chr(53), 54481 - 54473), ehT0Px3KOsy9('\x30' + chr(11607 - 11496) + chr(0b101 + 0o54) + chr(0b1111 + 0o46) + chr(2583 - 2528), 57618 - 57610), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(328 - 279) + chr(808 - 759) + chr(0b0 + 0o65), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(0b1101 + 0o46) + chr(0b11010 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1010 + 0o47) + chr(0b100001 + 0o23), 4320 - 4312), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(386 - 335) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(52) + '\061', 0b1000), ehT0Px3KOsy9(chr(1526 - 1478) + '\157' + '\x34' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1818 - 1768) + chr(1403 - 1354) + chr(1585 - 1534), 60727 - 60719), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(0b110011) + '\x31' + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(8054 - 7943) + chr(0b110010) + '\x36' + '\061', 33763 - 33755), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11011 + 0o26) + chr(296 - 242) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + '\x31' + chr(51) + chr(2280 - 2226), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(52) + chr(0b1010 + 0o47), 5043 - 5035), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b11100 + 0o26) + chr(1553 - 1499), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(53) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(1452 - 1402) + chr(0b110000), 33328 - 33320), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + '\x31' + chr(0b100000 + 0o21) + chr(0b110111), 32295 - 32287), ehT0Px3KOsy9(chr(749 - 701) + '\x6f' + '\x33' + chr(0b110010) + chr(947 - 897), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(9848 - 9737) + chr(994 - 941) + chr(48), 18418 - 18410)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'K'), chr(100) + chr(2203 - 2102) + '\x63' + chr(111) + chr(100) + chr(0b1011111 + 0o6))(chr(0b110101 + 0o100) + '\164' + chr(102) + '\x2d' + chr(2913 - 2857)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def jUam609a4zKb(E1c_5v_Zd9l8, vRVqPOZ1hUG7=ehT0Px3KOsy9(chr(0b110000) + chr(313 - 202) + '\x31' + chr(564 - 516), 0b1000), ag0mwEgWzjYv=0.0, X91zauzfCPzF=None, holLFgwB7vsP=xafqLlk3kkUe(SXOLrMavuUCe(b'\x11\x11$^\x84'), chr(0b101 + 0o137) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b1011011 + 0o13) + '\x2d' + chr(0b100111 + 0o21))):
rUMMNlh0vDUu = H3Wz6L_Y0VWj.Serial(H3Wz6L_Y0VWj.Branch(), H3Wz6L_Y0VWj.Parallel(H3Wz6L_Y0VWj.Branch(num_branches=ehT0Px3KOsy9('\060' + chr(10469 - 10358) + '\x33', 0b1000)), bE195Pm2LR6X(axis=-ehT0Px3KOsy9(chr(1376 - 1328) + chr(11538 - 11427) + '\x32', 59547 - 59539))), H3Wz6L_Y0VWj.Parallel(H3Wz6L_Y0VWj.Parallel(d9fhmi4XXZ1X.Dense(E1c_5v_Zd9l8), d9fhmi4XXZ1X.Dense(E1c_5v_Zd9l8), d9fhmi4XXZ1X.Dense(E1c_5v_Zd9l8)), H3Wz6L_Y0VWj.Identity()))
return xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'6\x067^\x8bI'), chr(0b1100100) + chr(101) + '\143' + chr(0b1001 + 0o146) + chr(100) + '\145')('\165' + '\x74' + '\146' + '\055' + chr(56)))(xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'(\x025'), chr(100) + chr(0b111000 + 0o55) + chr(360 - 261) + chr(111) + '\x64' + chr(0b101101 + 0o70))(chr(6084 - 5967) + chr(7186 - 7070) + chr(6734 - 6632) + chr(0b101101) + chr(669 - 613)))(rUMMNlh0vDUu), DaBhuVh1vUZa(selector=X91zauzfCPzF), xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'(\x025'), '\144' + chr(0b1100101) + chr(1934 - 1835) + chr(111) + chr(100) + '\x65')('\165' + chr(0b1110100) + '\146' + chr(0b101101) + '\x38'))(CILieabbLTcu(feature_depth=E1c_5v_Zd9l8, num_heads=vRVqPOZ1hUG7, dropout=ag0mwEgWzjYv, mode=holLFgwB7vsP), check_shapes=ehT0Px3KOsy9(chr(48) + chr(1986 - 1875) + chr(0b100011 + 0o15), 0b1000)), xafqLlk3kkUe(H3Wz6L_Y0VWj, xafqLlk3kkUe(SXOLrMavuUCe(b'(\x025'), '\x64' + chr(7834 - 7733) + chr(0b1100 + 0o127) + chr(111) + chr(100) + chr(8154 - 8053))(chr(117) + chr(116) + chr(0b1000110 + 0o40) + chr(0b101101) + chr(0b11110 + 0o32)))(xafqLlk3kkUe(d9fhmi4XXZ1X, xafqLlk3kkUe(SXOLrMavuUCe(b'!\x06+D\x8f'), '\x64' + chr(0b1011001 + 0o14) + '\143' + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(11287 - 11170) + '\x74' + chr(0b1001111 + 0o27) + chr(45) + '\x38'))(E1c_5v_Zd9l8)))
|
tensorflow/tensor2tensor
|
tensor2tensor/trax/layers/attention.py
|
ShiftRight
|
def ShiftRight(x, **unused_kwargs):
"""Layer to shift the tensor to the right by padding on axis 1."""
if not isinstance(x, (list, tuple)): # non-chunked inputs
pad_widths = [(0, 0), (1, 0)]
padded = np.pad(x, pad_widths, mode='constant')
return padded[:, :-1]
# Handling chunked inputs. Recall that the list of chunks represents a big
# sequence (the concatenation of the chunks). We want to shift that sequence,
# so we put a 0 in the beginning of the first chunk and the last element of
# that chunk is used as the new first element of the next chunk, and so on.
padded = []
last_value = np.zeros_like(x[0][:, -1])
for chunk in x:
padded_chunk = np.concatenate([last_value[:, np.newaxis], chunk], axis=1)
last_value = chunk[:, -1]
padded.append(padded_chunk[:, :-1])
return padded
|
python
|
def ShiftRight(x, **unused_kwargs):
"""Layer to shift the tensor to the right by padding on axis 1."""
if not isinstance(x, (list, tuple)): # non-chunked inputs
pad_widths = [(0, 0), (1, 0)]
padded = np.pad(x, pad_widths, mode='constant')
return padded[:, :-1]
# Handling chunked inputs. Recall that the list of chunks represents a big
# sequence (the concatenation of the chunks). We want to shift that sequence,
# so we put a 0 in the beginning of the first chunk and the last element of
# that chunk is used as the new first element of the next chunk, and so on.
padded = []
last_value = np.zeros_like(x[0][:, -1])
for chunk in x:
padded_chunk = np.concatenate([last_value[:, np.newaxis], chunk], axis=1)
last_value = chunk[:, -1]
padded.append(padded_chunk[:, :-1])
return padded
|
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] |
Layer to shift the tensor to the right by padding on axis 1.
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/layers/attention.py#L393-L409
|
train
|
Layer to shift the tensor to the right by padding on axis 1.
|
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(0b110111) + chr(0b1001 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(1725 - 1677) + chr(111) + '\x32' + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b110011) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100101 + 0o112) + '\062' + chr(1115 - 1066) + chr(346 - 295), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b101010 + 0o105) + chr(0b110010) + chr(52) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1011 + 0o50) + chr(52) + chr(1800 - 1749), 0o10), ehT0Px3KOsy9('\x30' + chr(0b101111 + 0o100) + chr(0b110011) + '\x34' + chr(0b100011 + 0o23), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(939 - 889) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\067' + chr(127 - 72), 11831 - 11823), ehT0Px3KOsy9(chr(48) + '\157' + chr(2336 - 2287) + chr(0b100010 + 0o17) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(0b1010 + 0o46) + chr(0b110101), 34698 - 34690), ehT0Px3KOsy9(chr(0b110000) + chr(5060 - 4949) + chr(0b110001) + chr(0b10010 + 0o37) + chr(0b100000 + 0o21), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x36' + chr(0b100011 + 0o21), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(1499 - 1449) + chr(53) + chr(1118 - 1065), 38261 - 38253), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1063 - 1013) + '\x30' + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b11110 + 0o27) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + chr(0b110011) + '\x37' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(0b1111 + 0o43) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1693 - 1643) + '\063' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(414 - 363) + '\x36' + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b110110) + chr(0b1010 + 0o50), 62760 - 62752), ehT0Px3KOsy9('\x30' + chr(931 - 820) + '\062' + '\063' + chr(1282 - 1227), ord("\x08")), ehT0Px3KOsy9(chr(1973 - 1925) + '\157' + chr(51) + chr(50) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1222 - 1174) + chr(0b1101111) + '\x34' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11888 - 11777) + chr(0b100111 + 0o13) + '\x32' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + '\x37' + chr(115 - 62), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(164 - 115) + chr(0b110100 + 0o2), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100 + 0o153) + '\x34' + chr(52), 51144 - 51136), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100011 + 0o17) + '\x30' + chr(80 - 30), 49131 - 49123), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1011001 + 0o26) + chr(1665 - 1615) + chr(0b101100 + 0o11) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(1346 - 1298) + chr(111) + chr(0b110001) + chr(1764 - 1709) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(574 - 526) + chr(111) + chr(0b101000 + 0o11) + chr(0b110000 + 0o7) + chr(666 - 617), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11 + 0o60) + chr(0b110110) + '\061', 23051 - 23043), ehT0Px3KOsy9(chr(85 - 37) + chr(111) + chr(0b110011) + chr(48) + chr(0b10110 + 0o36), 11531 - 11523), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b11001 + 0o32), 7084 - 7076), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b110011) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(640 - 529) + chr(503 - 452) + chr(388 - 336) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(0b101110 + 0o4) + '\064', 8), ehT0Px3KOsy9(chr(2247 - 2199) + chr(0b1001000 + 0o47) + '\x32' + '\x33' + '\x33', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b110011) + chr(55), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(1539 - 1486) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x13'), '\x64' + chr(1903 - 1802) + chr(0b111111 + 0o44) + chr(0b1101111) + chr(100) + '\x65')(chr(0b100111 + 0o116) + chr(0b101 + 0o157) + '\x66' + chr(45) + chr(0b101110 + 0o12)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def yPhPTof1r6eH(OeWW0F1dBPRQ, **Dl7jGuYToI93):
if not PlSM16l2KDPD(OeWW0F1dBPRQ, (YyaZ4tpXu4lf, KNyTy8rYcwji)):
lFUEuOeaaDj2 = [(ehT0Px3KOsy9(chr(996 - 948) + '\x6f' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b10111 + 0o31), 8)), (ehT0Px3KOsy9('\060' + chr(6246 - 6135) + '\x31', 53499 - 53491), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1 + 0o57), 8))]
Jr6qMmXilxlt = WqUC3KWvYVup.pad(OeWW0F1dBPRQ, lFUEuOeaaDj2, mode=xafqLlk3kkUe(SXOLrMavuUCe(b'^x\xb4\xf8\xd1\x82\x88 '), '\x64' + '\145' + chr(99) + '\x6f' + '\x64' + '\145')(chr(0b1110101) + chr(0b1110100) + '\x66' + '\x2d' + chr(0b111000)))
return Jr6qMmXilxlt[:, :-ehT0Px3KOsy9(chr(158 - 110) + '\x6f' + chr(0b110001), 8)]
Jr6qMmXilxlt = []
QihsX2ihOEF1 = WqUC3KWvYVup.zeros_like(OeWW0F1dBPRQ[ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(48), 8)][:, -ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1032 - 983), 8)])
for qrKMvKviNzHg in OeWW0F1dBPRQ:
Im9SSpRICEAB = WqUC3KWvYVup.concatenate([QihsX2ihOEF1[:, WqUC3KWvYVup.newaxis], qrKMvKviNzHg], axis=ehT0Px3KOsy9('\060' + '\157' + chr(0b1010 + 0o47), 8))
QihsX2ihOEF1 = qrKMvKviNzHg[:, -ehT0Px3KOsy9(chr(0b110000) + chr(6671 - 6560) + chr(941 - 892), 8)]
xafqLlk3kkUe(Jr6qMmXilxlt, xafqLlk3kkUe(SXOLrMavuUCe(b'\\g\xaa\xee\xcb\x87'), chr(0b1100100) + chr(101) + chr(99) + chr(111) + '\144' + '\x65')('\165' + '\164' + chr(0b1011111 + 0o7) + '\x2d' + chr(2752 - 2696)))(Im9SSpRICEAB[:, :-ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b11001 + 0o126) + '\061', 8)])
return Jr6qMmXilxlt
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/algorithmic.py
|
zipf_distribution
|
def zipf_distribution(nbr_symbols, alpha):
"""Helper function: Create a Zipf distribution.
Args:
nbr_symbols: number of symbols to use in the distribution.
alpha: float, Zipf's Law Distribution parameter. Default = 1.5.
Usually for modelling natural text distribution is in
the range [1.1-1.6].
Returns:
distr_map: list of float, Zipf's distribution over nbr_symbols.
"""
tmp = np.power(np.arange(1, nbr_symbols + 1), -alpha)
zeta = np.r_[0.0, np.cumsum(tmp)]
return [x / zeta[-1] for x in zeta]
|
python
|
def zipf_distribution(nbr_symbols, alpha):
"""Helper function: Create a Zipf distribution.
Args:
nbr_symbols: number of symbols to use in the distribution.
alpha: float, Zipf's Law Distribution parameter. Default = 1.5.
Usually for modelling natural text distribution is in
the range [1.1-1.6].
Returns:
distr_map: list of float, Zipf's distribution over nbr_symbols.
"""
tmp = np.power(np.arange(1, nbr_symbols + 1), -alpha)
zeta = np.r_[0.0, np.cumsum(tmp)]
return [x / zeta[-1] for x in zeta]
|
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Helper function: Create a Zipf distribution.
Args:
nbr_symbols: number of symbols to use in the distribution.
alpha: float, Zipf's Law Distribution parameter. Default = 1.5.
Usually for modelling natural text distribution is in
the range [1.1-1.6].
Returns:
distr_map: list of float, Zipf's distribution over nbr_symbols.
|
[
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/algorithmic.py#L208-L223
|
train
|
Helper function to create a Zipf distribution.
|
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(0b100010 + 0o115) + '\061' + chr(200 - 152) + chr(0b110100), 25858 - 25850), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(54) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + '\x37' + '\x34', 0b1000), ehT0Px3KOsy9(chr(1009 - 961) + '\x6f' + '\x32' + chr(0b110001) + chr(0b101100 + 0o7), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2040 - 1929) + '\061' + chr(54), 339 - 331), ehT0Px3KOsy9('\x30' + chr(0b110010 + 0o75) + '\062' + chr(0b110111) + chr(55), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b101010 + 0o7) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1133 - 1022) + chr(49) + '\060' + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1061 - 1012) + chr(0b100011 + 0o24) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x36' + chr(839 - 791), 0o10), ehT0Px3KOsy9(chr(1741 - 1693) + chr(111) + chr(1560 - 1510) + chr(50) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + chr(0b110010) + chr(1790 - 1737) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(10331 - 10220) + '\063' + chr(0b110011) + chr(50), 53240 - 53232), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10111 + 0o37) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(9121 - 9010) + chr(531 - 481) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(9319 - 9208) + chr(0b1110 + 0o50) + chr(0b110000), 8), ehT0Px3KOsy9('\x30' + chr(0b100111 + 0o110) + '\x33' + chr(1323 - 1273) + '\066', 10587 - 10579), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101000 + 0o13) + chr(0b0 + 0o66) + chr(1453 - 1399), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\x34' + chr(0b11110 + 0o31), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1100011 + 0o14) + chr(0b111 + 0o54) + chr(51) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(53) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(5952 - 5841) + '\063' + chr(0b110101) + chr(854 - 805), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101001 + 0o106) + chr(51) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + '\x32' + chr(423 - 373) + chr(0b100111 + 0o12), 0b1000), ehT0Px3KOsy9('\060' + chr(6420 - 6309) + chr(0b101000 + 0o15), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\065' + chr(0b100110 + 0o12), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + chr(1428 - 1379) + '\061' + '\063', 52588 - 52580), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(49) + chr(0b110111) + chr(53), 24944 - 24936), ehT0Px3KOsy9(chr(759 - 711) + chr(111) + '\062' + chr(0b101001 + 0o7) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2172 - 2122) + '\064' + chr(0b101100 + 0o11), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10111 + 0o33) + '\x33' + '\066', 0o10), ehT0Px3KOsy9(chr(1392 - 1344) + chr(9577 - 9466) + chr(0b110001) + '\x37', 0b1000), ehT0Px3KOsy9(chr(2011 - 1963) + '\x6f' + '\067' + chr(0b1110 + 0o43), 0b1000), ehT0Px3KOsy9(chr(1518 - 1470) + chr(111) + chr(870 - 821) + chr(0b101001 + 0o14) + '\061', 0b1000), ehT0Px3KOsy9(chr(1450 - 1402) + '\157' + '\x32' + chr(0b110100 + 0o0) + chr(311 - 258), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(625 - 575) + chr(0b11101 + 0o26) + chr(58 - 10), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(1865 - 1816) + '\067' + '\x36', 39637 - 39629), ehT0Px3KOsy9(chr(0b110000) + chr(3324 - 3213) + chr(0b100100 + 0o23) + chr(0b101010 + 0o15), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + 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'j'), '\144' + chr(101) + '\x63' + '\157' + '\144' + '\x65')(chr(117) + '\x74' + chr(0b11011 + 0o113) + '\x2d' + chr(0b110 + 0o62)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def TJAcYnw3Z91k(QDnRIgc9fD3P, gDUX9w35YHFE):
J8N_NsgU9OIv = WqUC3KWvYVup.power(WqUC3KWvYVup.arange(ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + '\061', 14333 - 14325), QDnRIgc9fD3P + ehT0Px3KOsy9(chr(48) + chr(111) + '\x31', 8)), -gDUX9w35YHFE)
TAMmTmC58Yfm = WqUC3KWvYVup.GNHrdsxfi9Ze[0.0, WqUC3KWvYVup.i0lzZW3r00ue(J8N_NsgU9OIv)]
return [OeWW0F1dBPRQ / TAMmTmC58Yfm[-ehT0Px3KOsy9(chr(1150 - 1102) + chr(11418 - 11307) + chr(49), 8)] for OeWW0F1dBPRQ in TAMmTmC58Yfm]
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/algorithmic.py
|
zipf_random_sample
|
def zipf_random_sample(distr_map, sample_len):
"""Helper function: Generate a random Zipf sample of given length.
Args:
distr_map: list of float, Zipf's distribution over nbr_symbols.
sample_len: integer, length of sequence to generate.
Returns:
sample: list of integer, Zipf's random sample over nbr_symbols.
"""
u = np.random.random(sample_len)
# Random produces values in range [0.0,1.0); even if it is almost
# improbable(but possible) that it can generate a clear 0.000..0.
return list(np.searchsorted(distr_map, u))
|
python
|
def zipf_random_sample(distr_map, sample_len):
"""Helper function: Generate a random Zipf sample of given length.
Args:
distr_map: list of float, Zipf's distribution over nbr_symbols.
sample_len: integer, length of sequence to generate.
Returns:
sample: list of integer, Zipf's random sample over nbr_symbols.
"""
u = np.random.random(sample_len)
# Random produces values in range [0.0,1.0); even if it is almost
# improbable(but possible) that it can generate a clear 0.000..0.
return list(np.searchsorted(distr_map, u))
|
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] |
Helper function: Generate a random Zipf sample of given length.
Args:
distr_map: list of float, Zipf's distribution over nbr_symbols.
sample_len: integer, length of sequence to generate.
Returns:
sample: list of integer, Zipf's random sample over nbr_symbols.
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/algorithmic.py#L226-L240
|
train
|
Helper function to generate a random sample of given length.
|
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(745 - 697) + chr(0b1011000 + 0o27) + chr(0b11010 + 0o27) + chr(2653 - 2600) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101110 + 0o1) + chr(50) + '\x35', 62809 - 62801), ehT0Px3KOsy9(chr(1582 - 1534) + chr(0b1001001 + 0o46) + chr(49) + chr(0b11000 + 0o31) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + chr(0b110010 + 0o1) + '\062', 1818 - 1810), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100001 + 0o20) + '\064' + chr(543 - 488), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b101110 + 0o101) + chr(51) + chr(0b110110), 12201 - 12193), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1 + 0o65), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101010 + 0o5) + '\x31' + chr(0b110110 + 0o0) + chr(54), 60893 - 60885), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101100 + 0o5) + '\x33' + chr(0b110000), 43859 - 43851), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\066' + chr(0b100010 + 0o22), 0b1000), ehT0Px3KOsy9(chr(48) + chr(4343 - 4232) + '\063' + chr(0b110010) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(1123 - 1075) + chr(0b1101111) + '\x32' + chr(50) + chr(0b1000 + 0o57), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b101010 + 0o10) + chr(529 - 477) + chr(162 - 107), 0o10), ehT0Px3KOsy9(chr(728 - 680) + chr(111) + chr(0b10110 + 0o36) + chr(0b100101 + 0o17), 43485 - 43477), ehT0Px3KOsy9('\060' + chr(0b1101010 + 0o5) + '\063' + chr(0b110111) + chr(52), 9597 - 9589), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(52) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(9668 - 9557) + chr(50) + chr(0b110010) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(1503 - 1455) + '\x6f' + chr(0b110 + 0o54) + chr(0b110001) + chr(50), 48658 - 48650), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + '\063' + chr(523 - 471) + '\x31', 62964 - 62956), ehT0Px3KOsy9('\x30' + chr(0b1010010 + 0o35) + chr(49) + chr(50) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10810 - 10699) + chr(0b1111 + 0o42) + chr(0b101100 + 0o11) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100 + 0o56) + chr(0b110011) + chr(0b110011), 62292 - 62284), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(1183 - 1130) + chr(0b101001 + 0o13), 8503 - 8495), ehT0Px3KOsy9(chr(807 - 759) + chr(111) + '\x31' + '\060' + '\x36', 23834 - 23826), ehT0Px3KOsy9(chr(2088 - 2040) + '\x6f' + chr(0b100010 + 0o20) + chr(1368 - 1316) + chr(0b10100 + 0o34), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1011110 + 0o21) + chr(51) + chr(0b101001 + 0o13) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11101 + 0o25) + chr(0b10101 + 0o40) + chr(0b100011 + 0o22), 12951 - 12943), ehT0Px3KOsy9(chr(1227 - 1179) + chr(5534 - 5423) + chr(62 - 12) + chr(1720 - 1670), 0b1000), ehT0Px3KOsy9(chr(53 - 5) + '\x6f' + '\x35' + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b10 + 0o155) + chr(51) + '\x37' + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(0b10111 + 0o130) + '\065' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b101010 + 0o105) + chr(54) + chr(0b1111 + 0o47), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(1342 - 1294) + chr(9820 - 9709) + chr(0b110011) + chr(53) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + '\x31' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1970 - 1922) + chr(0b100 + 0o153) + chr(53) + chr(2401 - 2352), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b110111) + '\x34', 21948 - 21940), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + '\060' + chr(1998 - 1949), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11011 + 0o32) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'D'), chr(9994 - 9894) + '\145' + '\x63' + chr(0b1101111) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(116) + '\x66' + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def UG8v3qAYJs_r(vhorEWsRddCj, kdAkcPF4HoyZ):
SkdK71rGR8E7 = WqUC3KWvYVup.random.drxw09AdRdci(kdAkcPF4HoyZ)
return YyaZ4tpXu4lf(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\x19p)h\x04vu\x19*\xc0\xb6\xf3'), chr(5071 - 4971) + chr(9764 - 9663) + chr(99) + '\157' + '\144' + chr(0b1100101))('\165' + chr(0b1110100) + chr(0b1010 + 0o134) + chr(0b101101) + '\x38'))(vhorEWsRddCj, SkdK71rGR8E7))
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/algorithmic.py
|
reverse_generator_nlplike
|
def reverse_generator_nlplike(nbr_symbols,
max_length,
nbr_cases,
scale_std_dev=100,
alpha=1.5):
"""Generator for the reversing nlp-like task on sequences of symbols.
The length of the sequence is drawn from a Gaussian(Normal) distribution
at random from [1, max_length] and with std deviation of 1%,
then symbols are drawn from Zipf's law at random from [0, nbr_symbols) until
nbr_cases sequences have been produced.
Args:
nbr_symbols: integer, number of symbols.
max_length: integer, maximum length of sequences to generate.
nbr_cases: the number of cases to generate.
scale_std_dev: float, Normal distribution's standard deviation scale factor
used to draw the length of sequence. Default = 1% of the max_length.
alpha: float, Zipf's Law Distribution parameter. Default = 1.5.
Usually for modelling natural text distribution is in
the range [1.1-1.6].
Yields:
A dictionary {"inputs": input-list, "targets": target-list} where
target-list is input-list reversed.
"""
std_dev = max_length / scale_std_dev
distr_map = zipf_distribution(nbr_symbols, alpha)
for _ in range(nbr_cases):
l = int(abs(np.random.normal(loc=max_length / 2, scale=std_dev)) + 1)
inputs = zipf_random_sample(distr_map, l)
yield {"inputs": inputs, "targets": list(reversed(inputs))}
|
python
|
def reverse_generator_nlplike(nbr_symbols,
max_length,
nbr_cases,
scale_std_dev=100,
alpha=1.5):
"""Generator for the reversing nlp-like task on sequences of symbols.
The length of the sequence is drawn from a Gaussian(Normal) distribution
at random from [1, max_length] and with std deviation of 1%,
then symbols are drawn from Zipf's law at random from [0, nbr_symbols) until
nbr_cases sequences have been produced.
Args:
nbr_symbols: integer, number of symbols.
max_length: integer, maximum length of sequences to generate.
nbr_cases: the number of cases to generate.
scale_std_dev: float, Normal distribution's standard deviation scale factor
used to draw the length of sequence. Default = 1% of the max_length.
alpha: float, Zipf's Law Distribution parameter. Default = 1.5.
Usually for modelling natural text distribution is in
the range [1.1-1.6].
Yields:
A dictionary {"inputs": input-list, "targets": target-list} where
target-list is input-list reversed.
"""
std_dev = max_length / scale_std_dev
distr_map = zipf_distribution(nbr_symbols, alpha)
for _ in range(nbr_cases):
l = int(abs(np.random.normal(loc=max_length / 2, scale=std_dev)) + 1)
inputs = zipf_random_sample(distr_map, l)
yield {"inputs": inputs, "targets": list(reversed(inputs))}
|
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] |
Generator for the reversing nlp-like task on sequences of symbols.
The length of the sequence is drawn from a Gaussian(Normal) distribution
at random from [1, max_length] and with std deviation of 1%,
then symbols are drawn from Zipf's law at random from [0, nbr_symbols) until
nbr_cases sequences have been produced.
Args:
nbr_symbols: integer, number of symbols.
max_length: integer, maximum length of sequences to generate.
nbr_cases: the number of cases to generate.
scale_std_dev: float, Normal distribution's standard deviation scale factor
used to draw the length of sequence. Default = 1% of the max_length.
alpha: float, Zipf's Law Distribution parameter. Default = 1.5.
Usually for modelling natural text distribution is in
the range [1.1-1.6].
Yields:
A dictionary {"inputs": input-list, "targets": target-list} where
target-list is input-list reversed.
|
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"-",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/algorithmic.py#L243-L274
|
train
|
Generator for the reversing nlp - like task on sequences of symbols.
|
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(0b101111 + 0o4) + chr(0b110101) + chr(49), 49086 - 49078), ehT0Px3KOsy9(chr(725 - 677) + chr(111) + chr(49) + chr(0b110000 + 0o2) + chr(0b110001 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + '\063' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b11100 + 0o30) + chr(0b100000 + 0o21), 15217 - 15209), ehT0Px3KOsy9('\x30' + chr(0b1010100 + 0o33) + chr(0b1 + 0o64) + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(746 - 694) + chr(0b101001 + 0o16), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\x32' + '\x36', 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + chr(50) + chr(50) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(476 - 425) + chr(0b110110 + 0o1) + chr(49), 0b1000), ehT0Px3KOsy9(chr(1509 - 1461) + '\x6f' + chr(0b100 + 0o55) + chr(0b0 + 0o67) + '\062', 18179 - 18171), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(0b111 + 0o52) + '\060' + chr(447 - 397), 12026 - 12018), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(1606 - 1558) + chr(0b1101111) + chr(1272 - 1217) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101101 + 0o11) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + chr(50) + chr(1390 - 1340) + chr(49), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100101 + 0o22) + chr(0b100010 + 0o23), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + '\x30', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(51) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(3759 - 3648) + chr(49) + chr(1356 - 1307) + '\064', 8556 - 8548), ehT0Px3KOsy9('\x30' + chr(0b11 + 0o154) + '\x35' + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10010 + 0o135) + chr(970 - 919) + chr(0b110010) + chr(0b0 + 0o61), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(51) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(12151 - 12040) + chr(2415 - 2365), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100110 + 0o111) + '\062' + chr(55) + chr(879 - 828), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(732 - 682) + '\065' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100000 + 0o17) + chr(51) + chr(1126 - 1075) + '\x30', 0o10), ehT0Px3KOsy9(chr(1491 - 1443) + chr(0b1101111) + chr(49) + chr(1636 - 1583) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(1931 - 1883) + '\157' + '\x33' + chr(0b110111) + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(6367 - 6256) + chr(53) + chr(0b11111 + 0o24), 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1010100 + 0o33) + '\x32' + chr(0b110001) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(0b110010) + chr(1377 - 1326) + '\060', 0b1000), ehT0Px3KOsy9(chr(645 - 597) + chr(111) + chr(50) + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(7622 - 7511) + chr(1190 - 1141) + chr(0b110101) + chr(0b110010), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(2032 - 1981) + '\x35' + chr(49), 8), ehT0Px3KOsy9('\060' + chr(0b1100111 + 0o10) + chr(51) + chr(67 - 17), 8), ehT0Px3KOsy9(chr(48) + chr(11309 - 11198) + '\065' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(48) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(49) + '\x31' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1706 - 1656) + '\067' + chr(1888 - 1835), 0b1000), ehT0Px3KOsy9(chr(1642 - 1594) + chr(0b1000111 + 0o50) + chr(0b1011 + 0o47) + '\x36' + '\x35', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + '\x35' + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7'), chr(5966 - 5866) + '\x65' + '\x63' + chr(4110 - 3999) + chr(100) + '\x65')('\165' + chr(116) + '\x66' + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Wyag0EOEFd0V(QDnRIgc9fD3P, _o7pVXAdOCRy, kKlybqgbD9mO, YhCsDFFGYq2z=ehT0Px3KOsy9(chr(0b110000) + chr(10817 - 10706) + '\061' + chr(0b101101 + 0o7) + chr(709 - 657), 0b1000), gDUX9w35YHFE=1.5):
bzyVF9G2lIQC = _o7pVXAdOCRy / YhCsDFFGYq2z
vhorEWsRddCj = TJAcYnw3Z91k(QDnRIgc9fD3P, gDUX9w35YHFE)
for VNGQdHSFPrso in vQr8gNKaIaWE(kKlybqgbD9mO):
aLoH_Mt0dzwO = ehT0Px3KOsy9(Lt3jp3Wjtj_1(WqUC3KWvYVup.random.normal(loc=_o7pVXAdOCRy / ehT0Px3KOsy9('\x30' + chr(2961 - 2850) + chr(0b110010), 8), scale=bzyVF9G2lIQC)) + ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + '\061', 0o10))
vXoupepMtCXU = UG8v3qAYJs_r(vhorEWsRddCj, aLoH_Mt0dzwO)
yield {xafqLlk3kkUe(SXOLrMavuUCe(b'\x80:j\x94X\x14'), '\x64' + chr(0b1100101) + '\x63' + chr(0b11100 + 0o123) + '\x64' + '\x65')(chr(0b10011 + 0o142) + '\164' + chr(102) + '\x2d' + '\x38'): vXoupepMtCXU, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d5h\x86I\x13\xe5'), chr(5058 - 4958) + chr(101) + chr(99) + chr(10516 - 10405) + '\x64' + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1000 + 0o136) + chr(0b101101) + chr(56)): YyaZ4tpXu4lf(RFiwrCZH9Ie6(vXoupepMtCXU))}
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/algorithmic.py
|
lower_endian_to_number
|
def lower_endian_to_number(l, base):
"""Helper function: convert a list of digits in the given base to a number."""
return sum([d * (base**i) for i, d in enumerate(l)])
|
python
|
def lower_endian_to_number(l, base):
"""Helper function: convert a list of digits in the given base to a number."""
return sum([d * (base**i) for i, d in enumerate(l)])
|
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"for",
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"d",
"in",
"enumerate",
"(",
"l",
")",
"]",
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] |
Helper function: convert a list of digits in the given base to a number.
|
[
"Helper",
"function",
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/algorithmic.py#L311-L313
|
train
|
Helper function to convert a list of digits in the given base to a number.
|
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(0b110 + 0o151) + chr(49) + '\x32' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10110 + 0o131) + chr(50) + chr(0b110101) + chr(1893 - 1838), 51606 - 51598), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(0b100111 + 0o15) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(1053 - 942) + chr(49) + chr(0b110001) + chr(0b11110 + 0o23), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(0b101001 + 0o12) + chr(0b111 + 0o51), 51944 - 51936), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\064' + chr(1855 - 1807), 0o10), ehT0Px3KOsy9(chr(48) + chr(338 - 227) + '\062' + chr(0b110010) + chr(0b110110), 1592 - 1584), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(50) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(399 - 344), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10001 + 0o40) + '\060' + chr(1251 - 1198), 54215 - 54207), ehT0Px3KOsy9('\x30' + chr(0b100001 + 0o116) + '\067' + chr(0b10101 + 0o33), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111100 + 0o63) + chr(2138 - 2088) + chr(0b110 + 0o56), 0o10), ehT0Px3KOsy9('\x30' + chr(1123 - 1012) + chr(52) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11 + 0o154) + '\x33' + '\065' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\067' + chr(0b11010 + 0o30), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1130 - 1080) + chr(52) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + chr(54) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(1029 - 976) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7171 - 7060) + chr(0b110010) + '\x33' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b0 + 0o157) + chr(0b101000 + 0o11) + chr(0b110110) + chr(52), 8749 - 8741), ehT0Px3KOsy9('\060' + chr(111) + chr(740 - 690) + '\065' + chr(54), 22200 - 22192), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(50) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11465 - 11354) + '\x31' + chr(0b110101) + chr(0b11111 + 0o21), 0o10), ehT0Px3KOsy9(chr(1285 - 1237) + '\x6f' + '\061' + chr(52) + chr(0b1010 + 0o46), 8), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + chr(50) + chr(198 - 143) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(680 - 632) + chr(0b1101111) + '\x36' + '\x37', 8), ehT0Px3KOsy9(chr(48) + chr(0b101111 + 0o100) + chr(0b110010) + chr(48) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(2142 - 2094) + '\157' + chr(51) + chr(0b110111) + '\x30', 1859 - 1851), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b111 + 0o52) + chr(0b1110 + 0o42) + chr(0b110100), 6861 - 6853), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(49) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\x36' + chr(0b110100), 8), ehT0Px3KOsy9(chr(1580 - 1532) + chr(0b1101010 + 0o5) + '\067' + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11881 - 11770) + chr(1462 - 1412) + chr(0b110010) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(9412 - 9301) + chr(0b110011) + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(1747 - 1636) + chr(49) + '\x35' + chr(0b110010), 52442 - 52434), ehT0Px3KOsy9('\x30' + chr(0b1101000 + 0o7) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(0b110010) + chr(53) + '\060', 8924 - 8916), ehT0Px3KOsy9(chr(2179 - 2131) + chr(111) + chr(0b10011 + 0o40) + '\x32' + chr(1400 - 1352), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(270 - 218) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001110 + 0o41) + chr(50) + chr(0b110010) + chr(196 - 144), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1583 - 1535) + chr(111) + chr(0b100010 + 0o23) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'{'), '\x64' + chr(0b1100101) + chr(0b101000 + 0o73) + '\x6f' + chr(100) + chr(1915 - 1814))(chr(446 - 329) + chr(0b11000 + 0o134) + chr(0b1100110) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def U30wJZjgLAWQ(aLoH_Mt0dzwO, XLXqkmM_0GVx):
return xkxBmo49x2An([pd3lxn9vqWxp * XLXqkmM_0GVx ** WVxHKyX45z_L for (WVxHKyX45z_L, pd3lxn9vqWxp) in YlkZvXL8qwsX(aLoH_Mt0dzwO)])
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/algorithmic.py
|
number_to_lower_endian
|
def number_to_lower_endian(n, base):
"""Helper function: convert a number to a list of digits in the given base."""
if n < base:
return [n]
return [n % base] + number_to_lower_endian(n // base, base)
|
python
|
def number_to_lower_endian(n, base):
"""Helper function: convert a number to a list of digits in the given base."""
if n < base:
return [n]
return [n % base] + number_to_lower_endian(n // base, base)
|
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] |
Helper function: convert a number to a list of digits in the given base.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/algorithmic.py#L316-L320
|
train
|
Helper function to convert a number to a list of digits in the given base.
|
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(111) + '\063' + '\061' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(12206 - 12095) + chr(0b1010 + 0o47) + '\x32' + chr(0b10 + 0o62), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b100110 + 0o14) + chr(1329 - 1276), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010 + 0o1) + chr(0b100100 + 0o20) + chr(51), 41678 - 41670), ehT0Px3KOsy9(chr(48) + '\157' + chr(2075 - 2025) + '\066' + chr(305 - 256), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(54) + chr(0b110001 + 0o3), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010011 + 0o34) + chr(0b110001) + chr(0b110000) + chr(1332 - 1281), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(2015 - 1962) + '\x37', 0o10), ehT0Px3KOsy9(chr(1624 - 1576) + chr(3898 - 3787) + chr(50) + chr(0b11010 + 0o33) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b111010 + 0o65) + chr(0b110001) + chr(0b110100) + chr(0b100100 + 0o15), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11469 - 11358) + '\x31' + chr(0b110100) + chr(0b100010 + 0o21), 19442 - 19434), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100 + 0o55) + '\067' + chr(1033 - 982), 6413 - 6405), ehT0Px3KOsy9(chr(226 - 178) + '\157' + chr(564 - 514) + chr(0b0 + 0o61) + chr(728 - 673), 0o10), ehT0Px3KOsy9(chr(48) + chr(5642 - 5531) + chr(2186 - 2136) + chr(51) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\x35' + '\063', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111 + 0o0) + '\x31' + chr(0b10000 + 0o43) + chr(0b10110 + 0o37), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(8727 - 8616) + chr(0b100010 + 0o17) + chr(53) + chr(51), 8), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\065' + chr(0b11001 + 0o30), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + '\x37' + '\062', 40989 - 40981), ehT0Px3KOsy9(chr(0b110000) + chr(0b1111 + 0o140) + chr(2519 - 2468) + chr(0b110000) + '\x34', 14543 - 14535), ehT0Px3KOsy9(chr(48) + chr(0b111100 + 0o63) + '\x33' + chr(54) + chr(1551 - 1497), 58507 - 58499), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100000 + 0o23) + chr(0b110101) + '\x37', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101011 + 0o4) + chr(49) + chr(0b110110) + chr(0b101110 + 0o4), 13080 - 13072), ehT0Px3KOsy9(chr(775 - 727) + chr(8022 - 7911) + chr(0b101101 + 0o6) + '\x34' + chr(1372 - 1321), 8), ehT0Px3KOsy9(chr(48) + chr(2296 - 2185) + '\x33' + chr(49) + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(10456 - 10345) + chr(0b110001) + chr(55) + chr(155 - 103), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101110 + 0o1) + chr(51) + chr(53), 0o10), ehT0Px3KOsy9(chr(1282 - 1234) + chr(8140 - 8029) + '\x32' + chr(53) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b110001) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(960 - 911) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(10547 - 10436) + chr(0b1010 + 0o50) + chr(0b110001) + chr(0b100 + 0o55), 42362 - 42354), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\065' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101100 + 0o3) + chr(0b110111) + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100111 + 0o12) + chr(1060 - 1012) + chr(0b100101 + 0o20), 0b1000), ehT0Px3KOsy9('\x30' + chr(1015 - 904) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + chr(0b110001) + chr(0b100111 + 0o14) + chr(0b1101 + 0o50), 8), ehT0Px3KOsy9('\x30' + chr(8559 - 8448) + '\x35' + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110001 + 0o76) + chr(0b110001) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(7118 - 7007) + chr(0b1110 + 0o44) + chr(0b1101 + 0o50) + '\x37', 8), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + '\x31' + chr(0b1000 + 0o52) + chr(0b110001), 6920 - 6912)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(53) + chr(0b1101 + 0o43), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5'), chr(100) + chr(101) + '\x63' + chr(111) + '\144' + chr(0b100000 + 0o105))(chr(0b1110101) + chr(0b1010000 + 0o44) + '\x66' + chr(1156 - 1111) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def wj1AmHPyFy1B(m1NkCryOw9Bx, XLXqkmM_0GVx):
if m1NkCryOw9Bx < XLXqkmM_0GVx:
return [m1NkCryOw9Bx]
return [m1NkCryOw9Bx % XLXqkmM_0GVx] + wj1AmHPyFy1B(m1NkCryOw9Bx // XLXqkmM_0GVx, XLXqkmM_0GVx)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/algorithmic.py
|
random_number_lower_endian
|
def random_number_lower_endian(length, base):
"""Helper function: generate a random number as a lower-endian digits list."""
if length == 1: # Last digit can be 0 only if length is 1.
return [np.random.randint(base)]
prefix = [np.random.randint(base) for _ in range(length - 1)]
return prefix + [np.random.randint(base - 1) + 1]
|
python
|
def random_number_lower_endian(length, base):
"""Helper function: generate a random number as a lower-endian digits list."""
if length == 1: # Last digit can be 0 only if length is 1.
return [np.random.randint(base)]
prefix = [np.random.randint(base) for _ in range(length - 1)]
return prefix + [np.random.randint(base - 1) + 1]
|
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] |
Helper function: generate a random number as a lower-endian digits list.
|
[
"Helper",
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/algorithmic.py#L323-L328
|
train
|
Helper function to generate a random number as a lower - endian digits list.
|
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' + chr(53) + chr(2540 - 2486), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(560 - 511) + chr(51) + chr(0b110101 + 0o2), 39489 - 39481), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\065' + chr(2354 - 2304), ord("\x08")), ehT0Px3KOsy9(chr(513 - 465) + '\157' + chr(776 - 725) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(51) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b110000) + chr(0b11001 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10350 - 10239) + '\x33' + chr(908 - 859) + chr(0b110010), 8796 - 8788), ehT0Px3KOsy9('\x30' + chr(11546 - 11435) + chr(51) + chr(50) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(8560 - 8449) + chr(51) + '\060' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x37' + chr(0b110111 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\062' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + '\x30' + chr(0b101100 + 0o12), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(50) + '\x31' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b110101) + chr(289 - 240), ord("\x08")), ehT0Px3KOsy9(chr(2195 - 2147) + chr(111) + '\x32' + chr(1438 - 1387) + chr(0b110001), 12501 - 12493), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011), 35417 - 35409), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(49) + '\060' + chr(1281 - 1232), ord("\x08")), ehT0Px3KOsy9(chr(1977 - 1929) + '\157' + chr(0b101101 + 0o6) + chr(54) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(1486 - 1438) + chr(0b110111 + 0o70) + chr(502 - 451) + chr(0b110 + 0o54) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1010101 + 0o32) + chr(0b1001 + 0o52) + '\061' + chr(51), 55150 - 55142), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + '\063' + chr(0b1111 + 0o43) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(654 - 605) + chr(53), 50502 - 50494), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(8303 - 8192) + '\063' + chr(54) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(4947 - 4836) + chr(0b110011) + '\063' + chr(1717 - 1669), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\x31' + chr(158 - 104), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1110 + 0o43) + chr(48) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b110010 + 0o75) + chr(91 - 40) + chr(0b1010 + 0o53) + chr(91 - 37), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110110) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(1743 - 1694) + chr(1680 - 1627) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(52) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + '\x36' + chr(906 - 856), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(51) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011101 + 0o22) + chr(0b110011) + chr(0b110110) + chr(824 - 774), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(49) + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(340 - 289) + '\x35' + '\x31', 10833 - 10825), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(1478 - 1429) + chr(53) + '\063', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1008 - 958) + '\x31', 51207 - 51199), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + '\x33' + chr(0b101100 + 0o12), 8), ehT0Px3KOsy9(chr(48) + chr(11881 - 11770) + chr(51) + chr(0b110010) + '\x31', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2314 - 2264) + chr(0b110000) + chr(0b110101), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(10488 - 10377) + chr(0b110101) + chr(1411 - 1363), 23716 - 23708)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x00'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(3408 - 3297) + chr(100) + chr(5562 - 5461))('\x75' + '\x74' + chr(102) + '\055' + chr(0b0 + 0o70)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def UqPXKiMLUybm(CHAOgk5VCHH_, XLXqkmM_0GVx):
if CHAOgk5VCHH_ == ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001), 0o10):
return [xafqLlk3kkUe(WqUC3KWvYVup.random, xafqLlk3kkUe(SXOLrMavuUCe(b'h\x07\xc8i\xa8\x8c\xf2\x98\x9bM\x9f\xc2'), chr(0b1010100 + 0o20) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(322 - 221))(chr(8308 - 8191) + '\x74' + chr(102) + chr(0b101101) + chr(0b10000 + 0o50)))(XLXqkmM_0GVx)]
K1Ha0XjJTAE7 = [WqUC3KWvYVup.random.FXbppO8HYrND(XLXqkmM_0GVx) for VNGQdHSFPrso in vQr8gNKaIaWE(CHAOgk5VCHH_ - ehT0Px3KOsy9('\060' + '\x6f' + chr(2308 - 2259), 8))]
return K1Ha0XjJTAE7 + [xafqLlk3kkUe(WqUC3KWvYVup.random, xafqLlk3kkUe(SXOLrMavuUCe(b'h\x07\xc8i\xa8\x8c\xf2\x98\x9bM\x9f\xc2'), chr(0b1010010 + 0o22) + chr(114 - 13) + '\x63' + '\157' + chr(100) + '\x65')(chr(5024 - 4907) + '\x74' + '\x66' + chr(653 - 608) + chr(56)))(XLXqkmM_0GVx - ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001), 8)) + ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31', 8)]
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wikisum/parallel_launch.py
|
remote_run
|
def remote_run(cmd, instance_name, detach=False, retries=1):
"""Run command on GCS instance, optionally detached."""
if detach:
cmd = SCREEN.format(command=cmd)
args = SSH.format(instance_name=instance_name).split()
args.append(cmd)
for i in range(retries + 1):
try:
if i > 0:
tf.logging.info("Retry %d for %s", i, args)
return sp.check_call(args)
except sp.CalledProcessError as e:
if i == retries:
raise e
|
python
|
def remote_run(cmd, instance_name, detach=False, retries=1):
"""Run command on GCS instance, optionally detached."""
if detach:
cmd = SCREEN.format(command=cmd)
args = SSH.format(instance_name=instance_name).split()
args.append(cmd)
for i in range(retries + 1):
try:
if i > 0:
tf.logging.info("Retry %d for %s", i, args)
return sp.check_call(args)
except sp.CalledProcessError as e:
if i == retries:
raise e
|
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"(",
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",",
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"CalledProcessError",
"as",
"e",
":",
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":",
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"e"
] |
Run command on GCS instance, optionally detached.
|
[
"Run",
"command",
"on",
"GCS",
"instance",
"optionally",
"detached",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wikisum/parallel_launch.py#L98-L111
|
train
|
Run command on GCS instance.
|
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) + chr(0b110001) + chr(55) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + '\061' + '\x36' + chr(1758 - 1704), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(49) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b110011) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(49) + chr(0b110111) + chr(187 - 138), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b11000 + 0o30) + chr(0b101101 + 0o7), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(62 - 9) + chr(478 - 423), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\x35' + chr(1816 - 1761), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(51) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + '\063' + chr(1833 - 1779) + chr(806 - 751), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + '\x33' + chr(0b110001) + chr(2306 - 2254), 64067 - 64059), ehT0Px3KOsy9(chr(83 - 35) + chr(11472 - 11361) + chr(0b110010) + chr(52) + chr(0b101001 + 0o14), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(492 - 442) + chr(0b110001) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b110010) + chr(0b110110), 61496 - 61488), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(1298 - 1247) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(1618 - 1567) + '\x37' + '\065', 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + '\x33' + '\x37' + chr(52), 31151 - 31143), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101111 + 0o2) + chr(0b110000) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(784 - 673) + chr(0b110001) + chr(49) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(54), 1996 - 1988), ehT0Px3KOsy9(chr(2048 - 2000) + chr(5003 - 4892) + chr(0b100110 + 0o21) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1722 - 1674) + chr(0b10011 + 0o134) + chr(0b110010) + chr(0b100101 + 0o13) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(8424 - 8313) + chr(0b100000 + 0o23) + '\x32' + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110111) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110010 + 0o75) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(8539 - 8428) + '\062' + chr(53) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + '\063' + chr(0b10010 + 0o45) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1385 - 1337) + chr(111) + chr(50) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100110 + 0o111) + '\062' + chr(0b110110) + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\061' + '\x32' + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11011 + 0o26) + '\060', 33220 - 33212), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\062' + chr(53), 60652 - 60644), ehT0Px3KOsy9('\x30' + chr(5268 - 5157) + '\x34' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\066' + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(2296 - 2248) + chr(1626 - 1577), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10110 + 0o131) + chr(0b10001 + 0o41) + chr(0b110101) + chr(333 - 282), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\067' + chr(0b100100 + 0o23), 0o10), ehT0Px3KOsy9(chr(574 - 526) + chr(0b110001 + 0o76) + chr(512 - 461) + chr(1051 - 996) + '\061', 23138 - 23130), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1911 - 1860) + chr(55) + chr(0b100110 + 0o12), 0b1000), ehT0Px3KOsy9('\x30' + chr(1133 - 1022) + chr(0b11101 + 0o26) + '\x34' + chr(654 - 605), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(10818 - 10707) + '\065' + chr(0b110 + 0o52), 20055 - 20047)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'T'), chr(100) + chr(0b1100101) + '\x63' + chr(518 - 407) + chr(0b1100100) + chr(7422 - 7321))('\165' + '\164' + '\146' + chr(0b10001 + 0o34) + chr(3002 - 2946)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Os3jBf3Hp2N8(cTsjNbtiBYNK, kkbQf0E4D2Lw, hgwpJ1vlOEdO=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\060', 54779 - 54771), YjfqU075U73D=ehT0Px3KOsy9('\x30' + chr(111) + chr(1860 - 1811), 0b1000)):
if hgwpJ1vlOEdO:
cTsjNbtiBYNK = xd5PlZxHnMhS.V4roHaS3Ppej(command=cTsjNbtiBYNK)
kJDRfRhcZHjS = GXl32UGPRsTb.format(instance_name=kkbQf0E4D2Lw).split()
xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b\x06\xff\xb9\x17 '), '\144' + '\x65' + chr(0b101010 + 0o71) + chr(0b110001 + 0o76) + chr(100) + chr(5004 - 4903))('\165' + '\164' + '\x66' + chr(0b100101 + 0o10) + '\x38'))(cTsjNbtiBYNK)
for WVxHKyX45z_L in vQr8gNKaIaWE(YjfqU075U73D + ehT0Px3KOsy9(chr(1171 - 1123) + chr(111) + chr(49), 8)):
try:
if WVxHKyX45z_L > ehT0Px3KOsy9(chr(1448 - 1400) + chr(111) + chr(0b110000), 8):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b")A\xc7\xa4\x0c'\x88X\xf4\x9b\x96\xce"), '\144' + '\145' + chr(0b1100011) + '\157' + '\144' + chr(0b100101 + 0o100))(chr(0b1001011 + 0o52) + chr(0b110011 + 0o101) + chr(0b11001 + 0o115) + chr(1335 - 1290) + chr(0b110 + 0o62)))(xafqLlk3kkUe(SXOLrMavuUCe(b'(\x13\xfb\xae\x00d\xca\x0b\xbe\x91\xa3\xd7\xae\xf3,'), chr(0b101 + 0o137) + chr(5372 - 5271) + '\143' + '\x6f' + '\144' + '\x65')(chr(12998 - 12881) + chr(0b1110100) + chr(102) + chr(0b10111 + 0o26) + chr(0b11110 + 0o32)), WVxHKyX45z_L, kJDRfRhcZHjS)
return xafqLlk3kkUe(ryOzkpXaokEu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x19\x1e\xea\xbf\x12\x1b\x8c\x0e\xf2\x9b'), chr(100) + chr(7259 - 7158) + chr(0b1100011) + chr(0b111110 + 0o61) + '\144' + chr(0b11000 + 0o115))(chr(0b1011001 + 0o34) + '\164' + chr(0b1100110) + chr(0b1 + 0o54) + chr(0b1011 + 0o55)))(kJDRfRhcZHjS)
except xafqLlk3kkUe(ryOzkpXaokEu, xafqLlk3kkUe(SXOLrMavuUCe(b'9\x17\xe3\xb0\x1c \xbf\x1d\xf1\x94\xa9\xd6\xfd\x93-\x8f\x931'), '\144' + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(6496 - 6395))(chr(10496 - 10379) + chr(0b1110100) + '\x66' + '\055' + '\070')) as GlnVAPeT6CUe:
if WVxHKyX45z_L == YjfqU075U73D:
raise GlnVAPeT6CUe
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wikisum/parallel_launch.py
|
wait_for_ssh
|
def wait_for_ssh(ip):
"""Wait for SSH to be available at given IP address."""
for _ in range(12):
with safe_socket() as s:
try:
s.connect((ip, 22))
return True
except socket.timeout:
pass
time.sleep(10)
return False
|
python
|
def wait_for_ssh(ip):
"""Wait for SSH to be available at given IP address."""
for _ in range(12):
with safe_socket() as s:
try:
s.connect((ip, 22))
return True
except socket.timeout:
pass
time.sleep(10)
return False
|
[
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"safe_socket",
"(",
")",
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",",
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":",
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"time",
".",
"sleep",
"(",
"10",
")",
"return",
"False"
] |
Wait for SSH to be available at given IP address.
|
[
"Wait",
"for",
"SSH",
"to",
"be",
"available",
"at",
"given",
"IP",
"address",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wikisum/parallel_launch.py#L128-L138
|
train
|
Wait for SSH to be available at given IP address.
|
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(0b10101 + 0o34) + '\x34' + chr(0b11 + 0o61), 0b1000), ehT0Px3KOsy9(chr(1247 - 1199) + chr(0b100000 + 0o117) + chr(50) + chr(379 - 325) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(10200 - 10089) + chr(0b100110 + 0o21) + chr(50), 21445 - 21437), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\066' + chr(0b0 + 0o65), 0o10), ehT0Px3KOsy9('\060' + chr(0b111101 + 0o62) + '\062' + chr(0b110111) + chr(2520 - 2466), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + '\x31' + chr(52) + chr(48), 0b1000), ehT0Px3KOsy9(chr(1121 - 1073) + '\x6f' + chr(0b110001) + '\x35' + chr(0b101000 + 0o13), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(1512 - 1463) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b110011 + 0o4) + chr(2130 - 2078), 59897 - 59889), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(291 - 243), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(55) + chr(0b10111 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + chr(0b100010 + 0o20) + chr(53), 0o10), ehT0Px3KOsy9(chr(1704 - 1656) + chr(111) + chr(0b110011) + chr(0b110010) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110101) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(230 - 182) + chr(0b1101111) + '\061' + chr(48) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010011 + 0o34) + '\x33' + '\064' + chr(0b11001 + 0o31), 14911 - 14903), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + chr(49) + chr(53) + chr(321 - 269), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110110) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(49) + chr(0b10110 + 0o33) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\064' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\x31', 10016 - 10008), ehT0Px3KOsy9(chr(0b110000) + chr(9192 - 9081) + '\x32' + '\063' + '\063', 46848 - 46840), ehT0Px3KOsy9('\x30' + chr(5806 - 5695) + chr(50) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b110001) + chr(2384 - 2335), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(2000 - 1949) + chr(1847 - 1792) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111011 + 0o64) + chr(2071 - 2021) + chr(50) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(1100 - 1052) + '\157' + chr(50) + '\061' + chr(1993 - 1941), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x37' + chr(0b0 + 0o65), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(0b101011 + 0o5) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(2234 - 2185) + chr(2087 - 2039), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1101 + 0o46) + chr(50) + chr(0b110 + 0o53), 0b1000), ehT0Px3KOsy9('\060' + chr(4956 - 4845) + chr(0b11000 + 0o32) + chr(0b101100 + 0o13) + chr(0b100000 + 0o25), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + '\x31' + chr(0b11001 + 0o33) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b110000) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(1245 - 1197) + '\157' + chr(53) + chr(2337 - 2286), 8), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(1076 - 965) + '\063' + chr(0b11110 + 0o30) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(11309 - 11198) + chr(0b110011) + '\x31' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(54) + chr(0b11010 + 0o30), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(2274 - 2225) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(706 - 655) + chr(55) + chr(0b101 + 0o54), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + chr(547 - 494) + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'J'), chr(5949 - 5849) + '\x65' + chr(0b1001111 + 0o24) + '\x6f' + '\x64' + chr(7085 - 6984))('\x75' + chr(0b1010010 + 0o42) + chr(4260 - 4158) + chr(1181 - 1136) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def E5oarx6rcobE(Hsra_lSlb8Qx):
for VNGQdHSFPrso in vQr8gNKaIaWE(ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(52), 0b1000)):
with fSyQ2pz1bW3H() as vGrByMSYMp9h:
try:
xafqLlk3kkUe(vGrByMSYMp9h, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\xdeT[\xdb\x03\x1f'), chr(3934 - 3834) + '\145' + chr(0b1100011) + chr(7512 - 7401) + chr(7098 - 6998) + chr(0b1100101))('\165' + chr(0b1110100) + '\x66' + chr(45) + '\070'))((Hsra_lSlb8Qx, ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(0b110110), 0b1000)))
return ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001), 33793 - 33785)
except xafqLlk3kkUe(fRlZC0rbxjvV, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10\xd8WP\xd1\x15\x1f'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\157' + '\144' + '\145')(chr(117) + chr(1273 - 1157) + chr(102) + chr(1082 - 1037) + '\x38')):
pass
xafqLlk3kkUe(ltvhPP4VhXre, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\xdd_P\xce'), '\144' + chr(3663 - 3562) + chr(0b11000 + 0o113) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(0b1001 + 0o154) + chr(4387 - 4271) + chr(0b1100110) + '\x2d' + chr(473 - 417)))(ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1011 + 0o46) + chr(0b10111 + 0o33), 0b1000))
return ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(470 - 422), 8)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wikisum/parallel_launch.py
|
launch_instance
|
def launch_instance(instance_name,
command,
existing_ip=None,
cpu=1,
mem=4,
code_dir=None,
setup_command=None):
"""Launch a GCE instance."""
# Create instance
ip = existing_ip or create_instance(instance_name, cpu=cpu, mem=mem)
tf.logging.info("Waiting for SSH %s", instance_name)
ready = wait_for_ssh(ip)
if not ready:
raise ValueError("Instance %s never ready for SSH" % instance_name)
# Copy code
if code_dir:
shell_run_with_retry(COPY_CODE, retries=2,
local_dir=code_dir, instance_name=instance_name)
# Run setup
if setup_command:
tf.logging.info("Running setup on %s", instance_name)
remote_run(setup_command, instance_name)
# Run command
tf.logging.info("Running command on %s", instance_name)
remote_run(command, instance_name, detach=True)
|
python
|
def launch_instance(instance_name,
command,
existing_ip=None,
cpu=1,
mem=4,
code_dir=None,
setup_command=None):
"""Launch a GCE instance."""
# Create instance
ip = existing_ip or create_instance(instance_name, cpu=cpu, mem=mem)
tf.logging.info("Waiting for SSH %s", instance_name)
ready = wait_for_ssh(ip)
if not ready:
raise ValueError("Instance %s never ready for SSH" % instance_name)
# Copy code
if code_dir:
shell_run_with_retry(COPY_CODE, retries=2,
local_dir=code_dir, instance_name=instance_name)
# Run setup
if setup_command:
tf.logging.info("Running setup on %s", instance_name)
remote_run(setup_command, instance_name)
# Run command
tf.logging.info("Running command on %s", instance_name)
remote_run(command, instance_name, detach=True)
|
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] |
Launch a GCE instance.
|
[
"Launch",
"a",
"GCE",
"instance",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wikisum/parallel_launch.py#L171-L198
|
train
|
Launch a GCE instance.
|
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(0b110111) + chr(0b110101), 39080 - 39072), ehT0Px3KOsy9(chr(1844 - 1796) + chr(0b1101111) + chr(1951 - 1902) + '\065' + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(647 - 596) + chr(0b110011) + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101101 + 0o2) + chr(0b110001) + '\060' + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(1524 - 1475) + chr(1575 - 1525) + chr(457 - 402), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + '\x32' + chr(53) + chr(0b110000 + 0o4), 30550 - 30542), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10110 + 0o35) + chr(1691 - 1641) + chr(760 - 706), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(50) + chr(0b110100) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + '\063' + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(1825 - 1771) + chr(1502 - 1454), 49583 - 49575), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(54) + chr(152 - 102), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2145 - 2034) + chr(53) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b10010 + 0o41) + chr(1757 - 1703) + chr(601 - 551), 8), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1000110 + 0o51) + chr(0b110011) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(996 - 945) + chr(0b10011 + 0o44), 17821 - 17813), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100100 + 0o17) + '\066' + '\x32', 8), ehT0Px3KOsy9(chr(0b110000) + chr(4221 - 4110) + chr(50) + chr(0b110010) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b110011) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\065' + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(997 - 946) + chr(0b110000), 45442 - 45434), ehT0Px3KOsy9(chr(1432 - 1384) + chr(111) + chr(0b110001) + chr(0b100011 + 0o20) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\067' + '\066', 30775 - 30767), ehT0Px3KOsy9('\060' + chr(6399 - 6288) + '\065', 59409 - 59401), ehT0Px3KOsy9(chr(48) + chr(0b11011 + 0o124) + chr(0b110000 + 0o3) + '\x30' + '\062', 0b1000), ehT0Px3KOsy9(chr(219 - 171) + '\x6f' + chr(0b110010) + '\060' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(335 - 287) + chr(0b1101111) + chr(0b110001) + chr(50) + '\067', 8), ehT0Px3KOsy9('\060' + chr(0b1100001 + 0o16) + chr(0b110001) + chr(0b110011) + chr(0b11100 + 0o32), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(55) + chr(1487 - 1435), 53192 - 53184), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + '\x35' + chr(0b110010), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(0b110010) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + '\066' + chr(49), 0b1000), ehT0Px3KOsy9(chr(1464 - 1416) + '\157' + chr(2203 - 2153) + '\066' + chr(0b101 + 0o53), 0o10), ehT0Px3KOsy9('\060' + chr(0b1011010 + 0o25) + chr(49) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(616 - 568) + '\066', 15844 - 15836), ehT0Px3KOsy9(chr(1745 - 1697) + '\157' + chr(50) + '\x35' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9902 - 9791) + '\x33' + chr(2280 - 2227) + '\066', 0o10), ehT0Px3KOsy9(chr(1022 - 974) + chr(6031 - 5920) + chr(0b110 + 0o54) + '\063' + '\x35', 24747 - 24739), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(1215 - 1161) + chr(0b10111 + 0o40), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(2113 - 2060) + chr(54), 33526 - 33518), ehT0Px3KOsy9(chr(1646 - 1598) + '\x6f' + chr(0b100011 + 0o16) + '\062' + chr(92 - 41), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + chr(53) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x13'), '\x64' + '\145' + chr(99) + chr(0b1101111) + chr(7923 - 7823) + '\x65')(chr(117) + chr(0b1110100) + chr(102) + '\x2d' + chr(0b100 + 0o64)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def lOkRt3p0lLr4(kkbQf0E4D2Lw, CVh_Z3xeqjku, LhF96QHZBoYM=None, qg7Ot4FCfBgB=ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + '\x31', ord("\x08")), QEvRVVn4YOJx=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x34', ord("\x08")), nuQFnNJZb54u=None, Pd_otIM4som0=None):
Hsra_lSlb8Qx = LhF96QHZBoYM or hXiLAPSbGPlV(kkbQf0E4D2Lw, cpu=qg7Ot4FCfBgB, mem=QEvRVVn4YOJx)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'nZ\x92="\xcf\xb1\x93\xf4\x1c\xa8B'), chr(0b1010001 + 0o23) + chr(5544 - 5443) + '\143' + chr(111) + '\x64' + chr(0b1100101))(chr(117) + chr(6806 - 6690) + '\x66' + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'j\x0c\xb31>\xc2\xb1\x84\xf8\x1f\x80\t\xa1IW\xd2\xb3)'), chr(0b10100 + 0o120) + chr(0b1100101) + chr(99) + chr(9835 - 9724) + chr(1276 - 1176) + chr(101))(chr(11079 - 10962) + '\164' + chr(2505 - 2403) + chr(0b10001 + 0o34) + chr(0b110000 + 0o10)), kkbQf0E4D2Lw)
eN53rcL5aSG_ = E5oarx6rcobE(Hsra_lSlb8Qx)
if not eN53rcL5aSG_:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b't\x03\xa916\xc2\xb5\xc1\xbeU\x81\t\x9c\x7fi\x97\xe4z\x98}=\xda|\xe2\xe78,\x1c\xb9\x02\xb9'), '\x64' + chr(5684 - 5583) + chr(0b110110 + 0o55) + chr(0b1101111) + '\144' + chr(0b1100101))('\x75' + '\164' + chr(102) + '\055' + '\070') % kkbQf0E4D2Lw)
if nuQFnNJZb54u:
NIOMz6km7qVp(F9xVHQOLyStl, retries=ehT0Px3KOsy9(chr(0b110000) + chr(672 - 561) + chr(50), 0b1000), local_dir=nuQFnNJZb54u, instance_name=kkbQf0E4D2Lw)
if Pd_otIM4som0:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'nZ\x92="\xcf\xb1\x93\xf4\x1c\xa8B'), '\x64' + chr(3642 - 3541) + '\143' + chr(8282 - 8171) + chr(0b10001 + 0o123) + chr(0b101010 + 0o73))(chr(117) + chr(0b1110100) + '\146' + '\055' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'o\x18\xb4+>\xc2\xb1\x84\xed\x15\x86\\\x82:p\x9c\xb6\x7f\x99'), chr(0b1001110 + 0o26) + '\145' + chr(0b110101 + 0o56) + '\157' + chr(0b1100 + 0o130) + chr(10087 - 9986))(chr(5306 - 5189) + '\x74' + chr(102) + chr(0b100100 + 0o11) + chr(0b11110 + 0o32)), kkbQf0E4D2Lw)
Os3jBf3Hp2N8(Pd_otIM4som0, kkbQf0E4D2Lw)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'nZ\x92="\xcf\xb1\x93\xf4\x1c\xa8B'), '\144' + chr(0b10000 + 0o125) + '\x63' + '\157' + '\x64' + chr(10060 - 9959))(chr(0b1110101) + chr(0b1001100 + 0o50) + chr(0b1000100 + 0o42) + chr(0b101 + 0o50) + chr(0b110111 + 0o1)))(xafqLlk3kkUe(SXOLrMavuUCe(b'o\x18\xb4+>\xc2\xb1\x84\xfd\x1f\x9fD\x93t{\xd2\xf94\xca=/'), chr(0b1100100) + '\145' + '\143' + chr(0b1101111) + chr(1523 - 1423) + '\x65')('\165' + chr(0b111 + 0o155) + chr(102) + chr(0b101101) + chr(0b110110 + 0o2)), kkbQf0E4D2Lw)
Os3jBf3Hp2N8(CVh_Z3xeqjku, kkbQf0E4D2Lw, detach=ehT0Px3KOsy9(chr(1688 - 1640) + chr(3211 - 3100) + '\x31', 8))
|
tensorflow/tensor2tensor
|
tensor2tensor/models/evolved_transformer.py
|
evolved_transformer_encoder
|
def evolved_transformer_encoder(encoder_input,
encoder_self_attention_bias,
hparams,
name="encoder",
nonpadding=None,
save_weights_to=None,
make_image_summary=True,
losses=None,
attn_bias_for_padding=None):
"""Evolved Transformer encoder. See arxiv.org/abs/1901.11117 for more details.
Note: Pad remover is not supported.
Args:
encoder_input: a Tensor.
encoder_self_attention_bias: bias Tensor for self-attention (see
common_attention.attention_bias()).
hparams: hyperparameters for model.
name: a string.
nonpadding: optional Tensor with shape [batch_size, encoder_length]
indicating what positions are not padding. This must either be passed in,
which we do for "packed" datasets, or inferred from
encoder_self_attention_bias. The knowledge about padding is used for
pad_remover(efficiency) and to mask out padding in convolutional layers.
save_weights_to: an optional dictionary to capture attention weights for
visualization; the weights tensor will be appended there under a string
key created from the variable scope (including name).
make_image_summary: Whether to make an attention image summary.
losses: Not used.
attn_bias_for_padding: Padded attention bias in case a unidirectional
encoder is being used where future attention is masked.
Returns:
Tensor encoder output.
"""
del losses
hidden_state = encoder_input
attention_dropout_broadcast_dims = (
common_layers.comma_separated_string_to_integer_list(
getattr(hparams, "attention_dropout_broadcast_dims", "")))
with tf.variable_scope(name):
if nonpadding is not None:
padding = 1.0 - nonpadding
else:
attention_bias = encoder_self_attention_bias
if attn_bias_for_padding is not None:
attention_bias = attn_bias_for_padding
# Only bfloat16 and float32 supported.
float_type = hparams.get("activation_dtype", "float32")
if float_type == "bfloat16":
cast_fn = tf.to_bfloat16
else:
assert float_type == "float32"
cast_fn = tf.to_float
padding = common_attention.attention_bias_to_padding(
attention_bias, cast_fn)
nonpadding = 1.0 - padding
for layer in range(hparams.num_encoder_layers or hparams.num_hidden_layers):
with tf.variable_scope("layer_%d" % layer):
with tf.variable_scope("gated_linear_unit"):
residual_state = hidden_state
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
values = common_layers.layers().Dense(
hparams.hidden_size)(hidden_state)
gates = common_layers.layers().Dense(
hparams.hidden_size, activation=tf.nn.sigmoid)(hidden_state)
hidden_state = values * gates
hidden_state = common_layers.layer_postprocess(
residual_state, hidden_state, hparams)
with tf.variable_scope("conv_branches"):
residual_state = hidden_state
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
# Mask padding from conv layers.
mask = tf.tile(
tf.expand_dims(nonpadding, 2), [1, 1, hparams.hidden_size])
hidden_state *= mask
left_output_dim = int(hparams.hidden_size * 4)
left_state = common_layers.layers().Dense(
left_output_dim, activation=tf.nn.relu)(hidden_state)
left_state = tf.nn.dropout(left_state,
1 - hparams.layer_prepostprocess_dropout)
right_output_dim = int(hparams.hidden_size / 2)
right_state = common_layers.layers().Conv1D(
right_output_dim,
3,
padding="SAME",
name="standard_conv_3x1",
activation=tf.nn.relu)(hidden_state)
right_state = tf.nn.dropout(right_state,
1 - hparams.layer_prepostprocess_dropout)
right_state = tf.pad(
right_state,
[[0, 0], [0, 0], [0, left_output_dim - right_output_dim]],
constant_values=0)
hidden_state = left_state + right_state
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
# Mask padding from conv layer.
mask = tf.tile(tf.expand_dims(nonpadding, 2), [1, 1, left_output_dim])
hidden_state *= mask
separable_conv_9x1 = common_layers.layers().SeparableConv1D(
right_output_dim, 9, padding="SAME", name="separable_conv_9x1")
hidden_state = separable_conv_9x1(hidden_state)
hidden_state = tf.pad(
hidden_state,
[[0, 0], [0, 0], [0, hparams.hidden_size - right_output_dim]],
constant_values=0)
hidden_state = common_layers.layer_postprocess(
residual_state, hidden_state, hparams)
with tf.variable_scope("self_attention"):
residual_state = hidden_state
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
hidden_state = common_attention.multihead_attention(
hidden_state,
None,
encoder_self_attention_bias,
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,
attention_type=hparams.self_attention_type,
max_relative_position=hparams.max_relative_position,
heads_share_relative_embedding=(
hparams.heads_share_relative_embedding),
add_relative_to_values=hparams.add_relative_to_values,
save_weights_to=save_weights_to,
make_image_summary=make_image_summary,
dropout_broadcast_dims=attention_dropout_broadcast_dims,
max_length=hparams.get("max_length"),
vars_3d=hparams.get("attention_variables_3d"),
activation_dtype=hparams.get("activation_dtype", "float32"),
weight_dtype=hparams.get("weight_dtype", "float32"))
hidden_state = common_layers.layer_postprocess(
residual_state, hidden_state, hparams)
with tf.variable_scope("dense_layers"):
residual_state = hidden_state
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
hidden_state = common_layers.layers().Dense(
int(hparams.hidden_size * 4), activation=tf.nn.relu)(hidden_state)
hidden_state = tf.nn.dropout(hidden_state,
1 - hparams.layer_prepostprocess_dropout)
hidden_state = common_layers.layers().Dense(
hparams.hidden_size)(hidden_state)
hidden_state = common_layers.layer_postprocess(
residual_state, hidden_state, hparams)
# If normalization is done in layer_preprocess, then it should also be done
# on the output, since the output can grow very large, being the sum of
# a whole stack of unnormalized layer outputs.
return common_layers.layer_preprocess(hidden_state, hparams)
|
python
|
def evolved_transformer_encoder(encoder_input,
encoder_self_attention_bias,
hparams,
name="encoder",
nonpadding=None,
save_weights_to=None,
make_image_summary=True,
losses=None,
attn_bias_for_padding=None):
"""Evolved Transformer encoder. See arxiv.org/abs/1901.11117 for more details.
Note: Pad remover is not supported.
Args:
encoder_input: a Tensor.
encoder_self_attention_bias: bias Tensor for self-attention (see
common_attention.attention_bias()).
hparams: hyperparameters for model.
name: a string.
nonpadding: optional Tensor with shape [batch_size, encoder_length]
indicating what positions are not padding. This must either be passed in,
which we do for "packed" datasets, or inferred from
encoder_self_attention_bias. The knowledge about padding is used for
pad_remover(efficiency) and to mask out padding in convolutional layers.
save_weights_to: an optional dictionary to capture attention weights for
visualization; the weights tensor will be appended there under a string
key created from the variable scope (including name).
make_image_summary: Whether to make an attention image summary.
losses: Not used.
attn_bias_for_padding: Padded attention bias in case a unidirectional
encoder is being used where future attention is masked.
Returns:
Tensor encoder output.
"""
del losses
hidden_state = encoder_input
attention_dropout_broadcast_dims = (
common_layers.comma_separated_string_to_integer_list(
getattr(hparams, "attention_dropout_broadcast_dims", "")))
with tf.variable_scope(name):
if nonpadding is not None:
padding = 1.0 - nonpadding
else:
attention_bias = encoder_self_attention_bias
if attn_bias_for_padding is not None:
attention_bias = attn_bias_for_padding
# Only bfloat16 and float32 supported.
float_type = hparams.get("activation_dtype", "float32")
if float_type == "bfloat16":
cast_fn = tf.to_bfloat16
else:
assert float_type == "float32"
cast_fn = tf.to_float
padding = common_attention.attention_bias_to_padding(
attention_bias, cast_fn)
nonpadding = 1.0 - padding
for layer in range(hparams.num_encoder_layers or hparams.num_hidden_layers):
with tf.variable_scope("layer_%d" % layer):
with tf.variable_scope("gated_linear_unit"):
residual_state = hidden_state
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
values = common_layers.layers().Dense(
hparams.hidden_size)(hidden_state)
gates = common_layers.layers().Dense(
hparams.hidden_size, activation=tf.nn.sigmoid)(hidden_state)
hidden_state = values * gates
hidden_state = common_layers.layer_postprocess(
residual_state, hidden_state, hparams)
with tf.variable_scope("conv_branches"):
residual_state = hidden_state
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
# Mask padding from conv layers.
mask = tf.tile(
tf.expand_dims(nonpadding, 2), [1, 1, hparams.hidden_size])
hidden_state *= mask
left_output_dim = int(hparams.hidden_size * 4)
left_state = common_layers.layers().Dense(
left_output_dim, activation=tf.nn.relu)(hidden_state)
left_state = tf.nn.dropout(left_state,
1 - hparams.layer_prepostprocess_dropout)
right_output_dim = int(hparams.hidden_size / 2)
right_state = common_layers.layers().Conv1D(
right_output_dim,
3,
padding="SAME",
name="standard_conv_3x1",
activation=tf.nn.relu)(hidden_state)
right_state = tf.nn.dropout(right_state,
1 - hparams.layer_prepostprocess_dropout)
right_state = tf.pad(
right_state,
[[0, 0], [0, 0], [0, left_output_dim - right_output_dim]],
constant_values=0)
hidden_state = left_state + right_state
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
# Mask padding from conv layer.
mask = tf.tile(tf.expand_dims(nonpadding, 2), [1, 1, left_output_dim])
hidden_state *= mask
separable_conv_9x1 = common_layers.layers().SeparableConv1D(
right_output_dim, 9, padding="SAME", name="separable_conv_9x1")
hidden_state = separable_conv_9x1(hidden_state)
hidden_state = tf.pad(
hidden_state,
[[0, 0], [0, 0], [0, hparams.hidden_size - right_output_dim]],
constant_values=0)
hidden_state = common_layers.layer_postprocess(
residual_state, hidden_state, hparams)
with tf.variable_scope("self_attention"):
residual_state = hidden_state
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
hidden_state = common_attention.multihead_attention(
hidden_state,
None,
encoder_self_attention_bias,
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,
attention_type=hparams.self_attention_type,
max_relative_position=hparams.max_relative_position,
heads_share_relative_embedding=(
hparams.heads_share_relative_embedding),
add_relative_to_values=hparams.add_relative_to_values,
save_weights_to=save_weights_to,
make_image_summary=make_image_summary,
dropout_broadcast_dims=attention_dropout_broadcast_dims,
max_length=hparams.get("max_length"),
vars_3d=hparams.get("attention_variables_3d"),
activation_dtype=hparams.get("activation_dtype", "float32"),
weight_dtype=hparams.get("weight_dtype", "float32"))
hidden_state = common_layers.layer_postprocess(
residual_state, hidden_state, hparams)
with tf.variable_scope("dense_layers"):
residual_state = hidden_state
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
hidden_state = common_layers.layers().Dense(
int(hparams.hidden_size * 4), activation=tf.nn.relu)(hidden_state)
hidden_state = tf.nn.dropout(hidden_state,
1 - hparams.layer_prepostprocess_dropout)
hidden_state = common_layers.layers().Dense(
hparams.hidden_size)(hidden_state)
hidden_state = common_layers.layer_postprocess(
residual_state, hidden_state, hparams)
# If normalization is done in layer_preprocess, then it should also be done
# on the output, since the output can grow very large, being the sum of
# a whole stack of unnormalized layer outputs.
return common_layers.layer_preprocess(hidden_state, hparams)
|
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] |
Evolved Transformer encoder. See arxiv.org/abs/1901.11117 for more details.
Note: Pad remover is not supported.
Args:
encoder_input: a Tensor.
encoder_self_attention_bias: bias Tensor for self-attention (see
common_attention.attention_bias()).
hparams: hyperparameters for model.
name: a string.
nonpadding: optional Tensor with shape [batch_size, encoder_length]
indicating what positions are not padding. This must either be passed in,
which we do for "packed" datasets, or inferred from
encoder_self_attention_bias. The knowledge about padding is used for
pad_remover(efficiency) and to mask out padding in convolutional layers.
save_weights_to: an optional dictionary to capture attention weights for
visualization; the weights tensor will be appended there under a string
key created from the variable scope (including name).
make_image_summary: Whether to make an attention image summary.
losses: Not used.
attn_bias_for_padding: Padded attention bias in case a unidirectional
encoder is being used where future attention is masked.
Returns:
Tensor encoder output.
|
[
"Evolved",
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"encoder",
".",
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"/",
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"/",
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"11117",
"for",
"more",
"details",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/evolved_transformer.py#L76-L246
|
train
|
Evolved Transformer encoder.
|
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(0b1000011 + 0o54) + chr(1797 - 1746) + chr(2413 - 2363) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(3007 - 2896) + chr(0b11011 + 0o27) + chr(0b0 + 0o65) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(6904 - 6793) + chr(0b10001 + 0o44) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5254 - 5143) + chr(0b110001) + '\x37' + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\065' + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x34' + chr(54), 53738 - 53730), ehT0Px3KOsy9(chr(415 - 367) + chr(0b100010 + 0o115) + '\x32' + chr(0b110000) + chr(1004 - 956), 26161 - 26153), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(48) + '\x33', 0o10), ehT0Px3KOsy9(chr(1730 - 1682) + '\157' + chr(1132 - 1081) + chr(1678 - 1629) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(49) + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11011 + 0o26) + '\x35' + chr(0b110110), 14769 - 14761), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101100 + 0o6) + chr(0b110000) + '\065', 0b1000), ehT0Px3KOsy9(chr(1372 - 1324) + chr(6651 - 6540) + chr(50) + chr(0b110111) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10100 + 0o133) + '\x31' + '\062' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(1993 - 1945) + chr(111) + chr(50) + '\x37' + '\067', 8), ehT0Px3KOsy9(chr(48) + chr(1796 - 1685) + chr(52) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000001 + 0o56) + chr(50) + chr(48) + chr(1397 - 1348), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000111 + 0o50) + chr(0b1110 + 0o45) + chr(49) + chr(52), 0o10), ehT0Px3KOsy9(chr(1114 - 1066) + '\157' + chr(0b10 + 0o57) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(526 - 478) + chr(0b1011110 + 0o21) + chr(0b110010) + chr(1351 - 1300) + chr(55), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(876 - 824) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(5713 - 5602) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + chr(0b110110) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + '\062' + chr(2233 - 2185), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b110011 + 0o74) + chr(51) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(0b110010 + 0o3) + chr(0b110101), 8), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1010 + 0o145) + '\063' + chr(55) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110000 + 0o77) + chr(54) + chr(48), 0o10), ehT0Px3KOsy9(chr(1131 - 1083) + chr(0b1101111) + chr(0b110001) + chr(0b1001 + 0o50) + chr(734 - 684), 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + chr(0b110011) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1110 + 0o141) + chr(0b0 + 0o61) + chr(55) + chr(1971 - 1918), 36842 - 36834), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(48) + chr(1497 - 1443), ord("\x08")), ehT0Px3KOsy9(chr(1989 - 1941) + '\x6f' + chr(1967 - 1917) + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(1634 - 1523) + '\x31' + chr(0b110101) + chr(0b10 + 0o62), 65137 - 65129), ehT0Px3KOsy9(chr(1516 - 1468) + chr(0b1100101 + 0o12) + '\061' + chr(0b110010) + chr(0b110000), 34362 - 34354), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065' + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6088 - 5977) + chr(50) + chr(48) + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(888 - 838) + chr(0b10010 + 0o42) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(672 - 622) + chr(1863 - 1809) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b110000) + chr(48), 0o10)][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'\xf9'), '\x64' + chr(486 - 385) + chr(0b100011 + 0o100) + chr(111) + chr(0b1100100) + chr(9414 - 9313))(chr(0b1101000 + 0o15) + '\x74' + '\x66' + chr(0b101101 + 0o0) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def _Xq_JiSqlkOH(LDEM1Zag9l0P, cMrr2bkEBgTQ, n4ljua2gi1Pr, AIvJRzLdDfgF=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2\xc0N\x16\xc9C\xf2'), '\144' + chr(0b1100101) + chr(6901 - 6802) + chr(0b1101111) + chr(1721 - 1621) + chr(0b1100101 + 0o0))(chr(117) + chr(0b1000010 + 0o62) + chr(5099 - 4997) + '\x2d' + chr(56)), qpPhEurkAWxO=None, zWaF_2VBEDjk=None, NC2xHNLwzxcH=ehT0Px3KOsy9(chr(0b110000) + chr(0b10011 + 0o134) + chr(49), 0b1000), eJKWkHA7qzlZ=None, Z0Xug0irmmBU=None):
del eJKWkHA7qzlZ
bHxQFh5OUZYs = LDEM1Zag9l0P
UNqT6jwzCz6Y = jSKPaHwSAfVv.comma_separated_string_to_integer_list(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6\xdaY\x1c\xc3R\xe9\xec\xa3\xd7\n\xf7\xd0#\xd0R\xf5\x93o\xedOfS\xf3z\xde\x8ao.t\x10\xb5'), chr(8755 - 8655) + chr(101) + '\143' + chr(111) + chr(9847 - 9747) + chr(347 - 246))(chr(117) + '\x74' + chr(0b1010 + 0o134) + chr(0b1001 + 0o44) + chr(0b1001 + 0o57)), xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b101101 + 0o67) + '\x65' + chr(7188 - 7089) + chr(0b1101111) + chr(100) + chr(0b1100101))('\x75' + chr(116) + '\x66' + chr(0b101101) + chr(0b10100 + 0o44))))
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1\xcf_\x10\xccD\xec\xe6\x92\xfb\r\xea\xcf6'), '\144' + '\x65' + chr(99) + '\x6f' + '\x64' + chr(0b101100 + 0o71))('\x75' + chr(8618 - 8502) + '\x66' + chr(45) + chr(0b111000)))(AIvJRzLdDfgF):
if qpPhEurkAWxO is not None:
TFLseEYASEKG = 1.0 - qpPhEurkAWxO
else:
UqieptimmuCP = cMrr2bkEBgTQ
if Z0Xug0irmmBU is not None:
UqieptimmuCP = Z0Xug0irmmBU
mn06gTm_jPC8 = n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6\xcdY\x10\xdbG\xf4\xea\xa2\xe61\xe1\xcb*\xcfB'), chr(8418 - 8318) + chr(0b1100000 + 0o5) + chr(99) + chr(111) + '\x64' + '\x65')(chr(117) + chr(374 - 258) + chr(0b11011 + 0o113) + chr(45) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\xc2B\x18\xd9\x15\xb2'), '\x64' + chr(0b101010 + 0o73) + chr(0b1100011) + chr(0b1010110 + 0o31) + chr(0b11101 + 0o107) + chr(2659 - 2558))(chr(0b1110101) + chr(0b110010 + 0o102) + chr(8963 - 8861) + '\055' + chr(0b111000 + 0o0)))
if mn06gTm_jPC8 == xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5\xc8A\x16\xccR\xb1\xb5'), chr(2183 - 2083) + '\145' + '\143' + '\x6f' + chr(0b1100100 + 0o0) + chr(8276 - 8175))('\165' + '\164' + '\x66' + chr(45) + chr(56)):
klW9iS74W28F = IDJ2eXGCBCDu.to_bfloat16
else:
assert mn06gTm_jPC8 == xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\xc2B\x18\xd9\x15\xb2'), chr(100) + chr(101) + chr(799 - 700) + '\157' + chr(0b11111 + 0o105) + '\145')('\x75' + '\x74' + chr(102) + chr(154 - 109) + '\070')
klW9iS74W28F = IDJ2eXGCBCDu.ZUL3kHBGU8Uu
TFLseEYASEKG = WOnrfm4dlYcf.attention_bias_to_padding(UqieptimmuCP, klW9iS74W28F)
qpPhEurkAWxO = 1.0 - TFLseEYASEKG
for wgamNHppspXj in vQr8gNKaIaWE(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x85\xfd\x1b \xc6g\xd2\xec\x99\xe4\x0b\xcb'), chr(100) + chr(2661 - 2560) + chr(0b1100011) + chr(0b1101011 + 0o4) + chr(0b1100100) + chr(101))(chr(11500 - 11383) + chr(0b1110100) + chr(6188 - 6086) + '\x2d' + '\x38')) or xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\xf4EL\xf2V\xcc\xd6\xa2\xc7\x01\xdf'), chr(100) + chr(101) + chr(0b1100011) + chr(1917 - 1806) + '\x64' + '\x65')(chr(0b1110 + 0o147) + chr(0b110010 + 0o102) + chr(102) + chr(235 - 190) + chr(0b111000)))):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1\xcf_\x10\xccD\xec\xe6\x92\xfb\r\xea\xcf6'), chr(0b1011100 + 0o10) + chr(0b1100101) + chr(99) + chr(111) + '\x64' + chr(0b1010100 + 0o21))(chr(117) + chr(0b101010 + 0o112) + chr(0b1000001 + 0o45) + '\055' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xcfT\x1c\xdfy\xa5\xe7'), chr(100) + '\145' + chr(6403 - 6304) + chr(0b1101111) + '\x64' + '\x65')('\165' + '\164' + chr(0b1100110) + '\x2d' + chr(0b111000)) % wgamNHppspXj):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1\xcf_\x10\xccD\xec\xe6\x92\xfb\r\xea\xcf6'), chr(0b100110 + 0o76) + '\x65' + chr(0b1100011) + '\157' + '\144' + chr(101))('\x75' + '\164' + chr(3018 - 2916) + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\xcfY\x1c\xc9y\xec\xea\xa3\xed\x0f\xf7\xe0&\xd1N\xf5'), chr(0b1100100) + chr(101) + chr(0b1011101 + 0o6) + '\157' + '\x64' + '\x65')(chr(0b1011001 + 0o34) + chr(116) + '\x66' + '\x2d' + '\x38')):
jTMHR7IpnwKC = bHxQFh5OUZYs
bHxQFh5OUZYs = jSKPaHwSAfVv.layer_preprocess(bHxQFh5OUZYs, n4ljua2gi1Pr)
SPnCNu54H1db = jSKPaHwSAfVv.layers().Dense(n4ljua2gi1Pr.qzoyXN3kdhDL)(bHxQFh5OUZYs)
D5FfJKnAV_lN = jSKPaHwSAfVv.layers().Dense(n4ljua2gi1Pr.qzoyXN3kdhDL, activation=IDJ2eXGCBCDu.nn.sigmoid)(bHxQFh5OUZYs)
bHxQFh5OUZYs = SPnCNu54H1db * D5FfJKnAV_lN
bHxQFh5OUZYs = jSKPaHwSAfVv.layer_postprocess(jTMHR7IpnwKC, bHxQFh5OUZYs, n4ljua2gi1Pr)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1\xcf_\x10\xccD\xec\xe6\x92\xfb\r\xea\xcf6'), chr(0b1100100) + chr(2487 - 2386) + chr(0b100010 + 0o101) + '\157' + chr(1936 - 1836) + chr(0b100011 + 0o102))(chr(0b1110101) + chr(116) + '\146' + chr(45) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\xc1C\x0f\xf2D\xf2\xe2\xa3\xeb\x06\xe0\xcc'), chr(5338 - 5238) + chr(0b1100101) + chr(8499 - 8400) + chr(111) + '\x64' + chr(9476 - 9375))('\165' + chr(3989 - 3873) + chr(0b101010 + 0o74) + '\055' + '\070')):
jTMHR7IpnwKC = bHxQFh5OUZYs
bHxQFh5OUZYs = jSKPaHwSAfVv.layer_preprocess(bHxQFh5OUZYs, n4ljua2gi1Pr)
Iz1jSgUKZDvt = IDJ2eXGCBCDu.tile(IDJ2eXGCBCDu.expand_dims(qpPhEurkAWxO, ehT0Px3KOsy9('\060' + '\x6f' + chr(50), 43700 - 43692)), [ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1841 - 1792), 8), n4ljua2gi1Pr.qzoyXN3kdhDL])
bHxQFh5OUZYs *= Iz1jSgUKZDvt
cmKqQGLf9B11 = ehT0Px3KOsy9(n4ljua2gi1Pr.qzoyXN3kdhDL * ehT0Px3KOsy9(chr(0b110000) + chr(0b1001 + 0o146) + chr(52), 9315 - 9307))
AZcvlNfcGk36 = jSKPaHwSAfVv.layers().Dense(cmKqQGLf9B11, activation=IDJ2eXGCBCDu.nn.relu)(bHxQFh5OUZYs)
AZcvlNfcGk36 = IDJ2eXGCBCDu.nn.ag0mwEgWzjYv(AZcvlNfcGk36, ehT0Px3KOsy9(chr(48) + chr(10189 - 10078) + '\x31', 8) - n4ljua2gi1Pr.RW_xSzp18UeS)
g4R9bc78Kwy9 = ehT0Px3KOsy9(n4ljua2gi1Pr.qzoyXN3kdhDL / ehT0Px3KOsy9(chr(1832 - 1784) + chr(0b1101111) + '\x32', 8))
_xhH2JK6zNKz = jSKPaHwSAfVv.layers().Conv1D(g4R9bc78Kwy9, ehT0Px3KOsy9('\060' + chr(0b1011000 + 0o27) + chr(0b110011), 60550 - 60542), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\x84\xef`<'), chr(0b1001100 + 0o30) + chr(0b1100101) + chr(4840 - 4741) + chr(0b1101111) + '\144' + '\145')(chr(0b1110101) + '\x74' + chr(0b100001 + 0o105) + chr(0b101101) + '\x38'), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4\xdaL\x17\xc9G\xf2\xe7\x92\xeb\x01\xeb\xc9\x0c\x8c_\xb0'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b1011111 + 0o20) + '\x64' + '\145')('\x75' + chr(116) + chr(0b1011111 + 0o7) + chr(0b11111 + 0o16) + chr(56)), activation=IDJ2eXGCBCDu.nn.relu)(bHxQFh5OUZYs)
_xhH2JK6zNKz = IDJ2eXGCBCDu.nn.ag0mwEgWzjYv(_xhH2JK6zNKz, ehT0Px3KOsy9(chr(489 - 441) + '\x6f' + '\061', 8) - n4ljua2gi1Pr.RW_xSzp18UeS)
_xhH2JK6zNKz = IDJ2eXGCBCDu.pad(_xhH2JK6zNKz, [[ehT0Px3KOsy9(chr(193 - 145) + chr(111) + chr(0b10010 + 0o36), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000100 + 0o53) + chr(48), 8)], [ehT0Px3KOsy9('\x30' + chr(111) + '\060', 8), ehT0Px3KOsy9(chr(1174 - 1126) + chr(0b1101111) + chr(1048 - 1000), 8)], [ehT0Px3KOsy9(chr(0b110000) + chr(0b1100100 + 0o13) + '\060', 8), cmKqQGLf9B11 - g4R9bc78Kwy9]], constant_values=ehT0Px3KOsy9('\x30' + '\157' + '\060', 8))
bHxQFh5OUZYs = AZcvlNfcGk36 + _xhH2JK6zNKz
bHxQFh5OUZYs = jSKPaHwSAfVv.layer_preprocess(bHxQFh5OUZYs, n4ljua2gi1Pr)
Iz1jSgUKZDvt = IDJ2eXGCBCDu.tile(IDJ2eXGCBCDu.expand_dims(qpPhEurkAWxO, ehT0Px3KOsy9('\x30' + chr(2926 - 2815) + chr(658 - 608), 8)), [ehT0Px3KOsy9('\060' + chr(111) + '\061', 8), ehT0Px3KOsy9('\060' + '\157' + chr(2355 - 2306), 8), cmKqQGLf9B11])
bHxQFh5OUZYs *= Iz1jSgUKZDvt
GOAz8_lDD_wz = jSKPaHwSAfVv.layers().SeparableConv1D(g4R9bc78Kwy9, ehT0Px3KOsy9('\x30' + '\157' + chr(2267 - 2218) + '\061', ord("\x08")), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\x84\xef`<'), '\x64' + chr(0b110011 + 0o62) + chr(0b101001 + 0o72) + chr(8212 - 8101) + '\144' + '\x65')(chr(0b10110 + 0o137) + chr(0b1110100) + chr(0b10 + 0o144) + '\x2d' + chr(0b111000)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4\xcb]\x18\xdfG\xe2\xef\xa8\xd7\r\xea\xd1%\xe0\x1e\xf9\xfd'), '\144' + chr(315 - 214) + chr(99) + '\x6f' + '\x64' + chr(0b1000011 + 0o42))(chr(0b1110101) + chr(116) + chr(6501 - 6399) + chr(0b100111 + 0o6) + '\070'))
bHxQFh5OUZYs = GOAz8_lDD_wz(bHxQFh5OUZYs)
bHxQFh5OUZYs = IDJ2eXGCBCDu.pad(bHxQFh5OUZYs, [[ehT0Px3KOsy9(chr(2216 - 2168) + chr(7792 - 7681) + chr(1308 - 1260), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10010 + 0o36), 8)], [ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11 + 0o55), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100000 + 0o17) + '\x30', 8)], [ehT0Px3KOsy9(chr(0b110000) + chr(0b1100011 + 0o14) + '\x30', 8), n4ljua2gi1Pr.qzoyXN3kdhDL - g4R9bc78Kwy9]], constant_values=ehT0Px3KOsy9('\060' + chr(6239 - 6128) + chr(1056 - 1008), 8))
bHxQFh5OUZYs = jSKPaHwSAfVv.layer_postprocess(jTMHR7IpnwKC, bHxQFh5OUZYs, n4ljua2gi1Pr)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1\xcf_\x10\xccD\xec\xe6\x92\xfb\r\xea\xcf6'), chr(0b1100100) + chr(101) + '\143' + '\157' + chr(100) + chr(0b1100101))('\x75' + chr(0b1110100) + '\146' + chr(0b110 + 0o47) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4\xcbA\x1f\xf2G\xf4\xf7\xa8\xe6\x1a\xec\xd0='), chr(100) + '\x65' + '\143' + chr(12081 - 11970) + chr(0b1100100) + chr(101))(chr(0b1100010 + 0o23) + chr(0b11 + 0o161) + chr(2855 - 2753) + chr(0b10100 + 0o31) + '\x38')):
jTMHR7IpnwKC = bHxQFh5OUZYs
bHxQFh5OUZYs = jSKPaHwSAfVv.layer_preprocess(bHxQFh5OUZYs, n4ljua2gi1Pr)
bHxQFh5OUZYs = WOnrfm4dlYcf.multihead_attention(bHxQFh5OUZYs, None, cMrr2bkEBgTQ, n4ljua2gi1Pr.Hj_JCZasfmqG or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.PZHUuenu09ti or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.vRVqPOZ1hUG7, n4ljua2gi1Pr.RdMRr3qkYioQ, attention_type=n4ljua2gi1Pr.tbgb2B3hnGPW, max_relative_position=n4ljua2gi1Pr.Fskwuexcn3MJ, heads_share_relative_embedding=n4ljua2gi1Pr.heads_share_relative_embedding, add_relative_to_values=n4ljua2gi1Pr.add_relative_to_values, save_weights_to=zWaF_2VBEDjk, make_image_summary=NC2xHNLwzxcH, dropout_broadcast_dims=UNqT6jwzCz6Y, max_length=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\xcfU&\xc1C\xee\xe4\xb9\xe0'), chr(100) + chr(6575 - 6474) + '\143' + chr(111) + '\144' + '\145')(chr(117) + '\164' + '\146' + chr(0b101010 + 0o3) + chr(0b111000))), vars_3d=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6\xdaY\x1c\xc3R\xe9\xec\xa3\xd7\x18\xe4\xcd:\xdeE\xed\xa9~\xc0\x13c'), chr(0b1100100) + chr(101) + chr(0b101101 + 0o66) + '\157' + chr(100) + '\x65')(chr(0b101000 + 0o115) + chr(0b1110100) + chr(7531 - 7429) + '\x2d' + '\070')), activation_dtype=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6\xcdY\x10\xdbG\xf4\xea\xa2\xe61\xe1\xcb*\xcfB'), chr(0b10111 + 0o115) + '\x65' + chr(99) + '\157' + chr(5992 - 5892) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(6054 - 5952) + '\055' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\xc2B\x18\xd9\x15\xb2'), chr(0b1100100) + chr(1763 - 1662) + chr(0b1100001 + 0o2) + chr(0b1010 + 0o145) + chr(0b110 + 0o136) + chr(101))('\165' + chr(0b1110100) + chr(102) + chr(45) + chr(0b101101 + 0o13))), weight_dtype=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0\xcbD\x1e\xc5R\xdf\xe7\xb9\xf1\x1e\xe0'), chr(0b1100100) + chr(0b1100101) + chr(2203 - 2104) + chr(9532 - 9421) + chr(0b1100100) + chr(0b101101 + 0o70))(chr(0b1110101) + chr(0b1110100) + chr(2107 - 2005) + chr(45) + chr(0b1011 + 0o55)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\xc2B\x18\xd9\x15\xb2'), chr(0b1100011 + 0o1) + '\145' + '\x63' + '\x6f' + chr(7976 - 7876) + chr(7827 - 7726))(chr(117) + chr(0b1101101 + 0o7) + chr(0b1010000 + 0o26) + chr(0b100011 + 0o12) + '\x38')))
bHxQFh5OUZYs = jSKPaHwSAfVv.layer_postprocess(jTMHR7IpnwKC, bHxQFh5OUZYs, n4ljua2gi1Pr)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1\xcf_\x10\xccD\xec\xe6\x92\xfb\r\xea\xcf6'), chr(100) + '\145' + '\143' + '\x6f' + chr(0b1001010 + 0o32) + '\145')(chr(12813 - 12696) + chr(0b1110100) + chr(0b1100011 + 0o3) + chr(0b100 + 0o51) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\xcbC\n\xc8y\xec\xe2\xb4\xed\x1c\xf6'), chr(100) + '\x65' + chr(1441 - 1342) + '\x6f' + chr(0b1100100) + chr(7309 - 7208))(chr(0b1110101) + '\164' + chr(3529 - 3427) + chr(0b101101) + '\070')):
jTMHR7IpnwKC = bHxQFh5OUZYs
bHxQFh5OUZYs = jSKPaHwSAfVv.layer_preprocess(bHxQFh5OUZYs, n4ljua2gi1Pr)
bHxQFh5OUZYs = jSKPaHwSAfVv.layers().Dense(ehT0Px3KOsy9(n4ljua2gi1Pr.qzoyXN3kdhDL * ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + chr(0b110100), 8)), activation=IDJ2eXGCBCDu.nn.relu)(bHxQFh5OUZYs)
bHxQFh5OUZYs = IDJ2eXGCBCDu.nn.ag0mwEgWzjYv(bHxQFh5OUZYs, ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + chr(0b110001), 8) - n4ljua2gi1Pr.RW_xSzp18UeS)
bHxQFh5OUZYs = jSKPaHwSAfVv.layers().Dense(n4ljua2gi1Pr.qzoyXN3kdhDL)(bHxQFh5OUZYs)
bHxQFh5OUZYs = jSKPaHwSAfVv.layer_postprocess(jTMHR7IpnwKC, bHxQFh5OUZYs, n4ljua2gi1Pr)
return xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xcfT\x1c\xdfy\xf0\xf1\xa8\xf8\x1c\xea\xdc6\xccT'), chr(3710 - 3610) + chr(0b100000 + 0o105) + chr(4202 - 4103) + '\157' + chr(0b11101 + 0o107) + chr(101))(chr(8632 - 8515) + chr(116) + chr(0b1000 + 0o136) + '\x2d' + chr(56)))(bHxQFh5OUZYs, n4ljua2gi1Pr)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/evolved_transformer.py
|
evolved_transformer_decoder
|
def evolved_transformer_decoder(decoder_input,
encoder_output,
decoder_self_attention_bias,
encoder_decoder_attention_bias,
hparams,
cache=None,
decode_loop_step=None,
name="decoder",
nonpadding=None,
save_weights_to=None,
make_image_summary=True,
losses=None):
"""Evolved Transformer decoder. See arxiv.org/abs/1901.11117 for more details.
Args:
decoder_input: a Tensor.
encoder_output: a Tensor.
decoder_self_attention_bias: bias Tensor for self-attention (see
common_attention.attention_bias()).
encoder_decoder_attention_bias: bias Tensor for encoder-decoder attention
(see common_attention.attention_bias()).
hparams: hyperparameters for model.
cache: dict, containing tensors which are the results of previous
layers, used for fast decoding.
decode_loop_step: An integer, step number of the decoding loop. Only used
for inference on TPU.
name: a string.
nonpadding: optional Tensor with shape [batch_size, encoder_length]
indicating what positions are not padding. This is used to mask out
padding in convolutional layers. We generally only need this mask for
"packed" datasets, because for ordinary datasets, no padding is ever
followed by nonpadding.
save_weights_to: an optional dictionary to capture attention weights for
visualization; the weights tensor will be appended there under a string
key created from the variable scope (including name).
make_image_summary: Whether to make an attention image summary.
losses: Not supported.
Returns:
Decoder output tensor.
"""
del losses
attention_dropout_broadcast_dims = (
common_layers.comma_separated_string_to_integer_list(
getattr(hparams, "attention_dropout_broadcast_dims", "")))
with tf.variable_scope(name):
hidden_state = decoder_input
for layer in range(hparams.num_decoder_layers or hparams.num_hidden_layers):
layer_name = "layer_%d" % layer
layer_cache = cache[layer_name] if cache is not None else None
with tf.variable_scope(layer_name):
with tf.variable_scope(_SIXTEEN_HEAD_ATTENTION_NAME):
residual_state = hidden_state
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
attention_cache = layer_cache[
_SIXTEEN_HEAD_ATTENTION_NAME] if layer_cache is not None else None
left_state = common_attention.multihead_attention(
hidden_state,
None,
decoder_self_attention_bias,
hparams.attention_key_channels or hparams.hidden_size,
hparams.attention_value_channels or hparams.hidden_size,
hparams.hidden_size,
_capped_double_heads(hparams.num_heads),
hparams.attention_dropout,
attention_type=hparams.self_attention_type,
max_relative_position=hparams.max_relative_position,
heads_share_relative_embedding=(
hparams.heads_share_relative_embedding),
add_relative_to_values=hparams.add_relative_to_values,
save_weights_to=save_weights_to,
cache=attention_cache,
make_image_summary=make_image_summary,
dropout_broadcast_dims=attention_dropout_broadcast_dims,
max_length=hparams.get("max_length"),
decode_loop_step=decode_loop_step,
vars_3d=hparams.get("attention_variables_3d"),
activation_dtype=hparams.get("activation_dtype", "float32"),
weight_dtype=hparams.get("weight_dtype", "float32"))
if encoder_output is not None:
with tf.variable_scope(_FIRST_ATTEND_TO_ENCODER_NAME):
attention_cache = (
layer_cache[_FIRST_ATTEND_TO_ENCODER_NAME]
if layer_cache is not None else None)
right_state = common_attention.multihead_attention(
hidden_state,
encoder_output,
encoder_decoder_attention_bias,
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,
max_relative_position=hparams.max_relative_position,
heads_share_relative_embedding=(
hparams.heads_share_relative_embedding),
add_relative_to_values=hparams.add_relative_to_values,
save_weights_to=save_weights_to,
cache=attention_cache,
make_image_summary=make_image_summary,
dropout_broadcast_dims=attention_dropout_broadcast_dims,
max_length=hparams.get("max_length"),
vars_3d=hparams.get("attention_variables_3d"),
activation_dtype=hparams.get("activation_dtype", "float32"),
weight_dtype=hparams.get("weight_dtype", "float32"))
left_state = tf.nn.dropout(left_state,
1 - hparams.layer_prepostprocess_dropout)
right_state = tf.nn.dropout(
right_state, 1 - hparams.layer_prepostprocess_dropout)
hidden_state = residual_state + left_state + right_state
else:
hidden_state = common_layers.layer_postprocess(
residual_state, left_state, hparams)
with tf.variable_scope(_CONV_BRANCHES_NAME):
residual_state = hidden_state
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
if nonpadding is not None:
# Mask padding from conv layers.
mask = tf.tile(
tf.expand_dims(nonpadding, 2), [1, 1, hparams.hidden_size])
hidden_state *= mask
if layer_cache:
if decode_loop_step is None:
hidden_state = layer_cache[
_CONV_BRANCHES_FIRST_LAYER_NAME] = tf.concat(
[
layer_cache[_CONV_BRANCHES_FIRST_LAYER_NAME],
hidden_state
],
axis=1)[:, -1 * _DECODER_LEFT_CONV_PADDING - 1:, :]
left_state = hidden_state
right_state = hidden_state[:, _DECODER_LEFT_CONV_PADDING -
_DECODER_RIGHT_CONV_PADDING:, :]
else:
# Inplace update is required for inference on TPU.
# Inplace_ops only supports inplace_update on the first dimension.
tmp = tf.transpose(
layer_cache[_CONV_BRANCHES_FIRST_LAYER_NAME], perm=[1, 0, 2])
tmp = tf.expand_dims(tmp, axis=1)
tmp = inplace_ops.alias_inplace_update(
tmp,
decode_loop_step * tf.shape(hidden_state)[1] +
_DECODER_LEFT_CONV_PADDING,
tf.transpose(hidden_state, perm=[1, 0, 2]))
tmp = tf.squeeze(tmp, axis=1)
hidden_state = layer_cache[
_CONV_BRANCHES_FIRST_LAYER_NAME] = tf.transpose(
tmp, perm=[1, 0, 2])
left_state_indexes = [
decode_loop_step + i
for i in range(_DECODER_LEFT_CONV_PADDING + 1)
]
left_state = tf.gather(hidden_state, left_state_indexes, axis=1)
right_state_indexes = [
decode_loop_step + i +
(_DECODER_LEFT_CONV_PADDING - _DECODER_RIGHT_CONV_PADDING)
for i in range(_DECODER_RIGHT_CONV_PADDING + 1)
]
right_state = tf.gather(hidden_state, right_state_indexes, axis=1)
else: # No caching.
left_state = tf.pad(
hidden_state,
paddings=[[0, 0], [_DECODER_LEFT_CONV_PADDING, 0], [0, 0]])
right_state = tf.pad(
hidden_state,
paddings=[[0, 0], [_DECODER_RIGHT_CONV_PADDING, 0], [0, 0]])
left_output_dim = int(hparams.hidden_size * 2)
separable_conv_11x1 = tf.layers.SeparableConv1D(
left_output_dim,
11,
padding="VALID",
name="separable_conv11x1",
activation=tf.nn.relu)
left_state = separable_conv_11x1.apply(left_state)
left_state = tf.nn.dropout(left_state,
1 - hparams.layer_prepostprocess_dropout)
right_output_dim = int(hparams.hidden_size / 2)
separable_conv_7x1_1 = tf.layers.SeparableConv1D(
right_output_dim, 7, padding="VALID", name="separable_conv_7x1_1")
right_state = separable_conv_7x1_1.apply(right_state)
right_state = tf.nn.dropout(right_state,
1 - hparams.layer_prepostprocess_dropout)
right_state = tf.pad(
right_state,
[[0, 0], [0, 0], [0, left_output_dim - right_output_dim]],
constant_values=0)
hidden_state = left_state + right_state
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
if nonpadding is not None:
# Mask padding from conv layers.
mask = tf.tile(
tf.expand_dims(nonpadding, 2), [1, 1, hparams.hidden_size * 2])
hidden_state *= mask
if layer_cache:
if decode_loop_step is None:
hidden_state = layer_cache[
_CONV_BRANCHES_SECOND_LAYER_NAME] = tf.concat(
[
layer_cache[_CONV_BRANCHES_SECOND_LAYER_NAME],
hidden_state
],
axis=1)[:, -1 * _DECODER_FINAL_CONV_PADDING - 1:, :]
else:
# Inplace update is required for inference on TPU.
# Inplace_ops only supports inplace_update on the first dimension.
tmp = tf.transpose(
layer_cache[_CONV_BRANCHES_SECOND_LAYER_NAME], perm=[1, 0, 2])
tmp = tf.expand_dims(tmp, axis=1)
tmp = inplace_ops.alias_inplace_update(
tmp, (decode_loop_step + _DECODER_FINAL_CONV_PADDING) *
tf.shape(hidden_state)[1],
tf.transpose(hidden_state, perm=[1, 0, 2]))
tmp = tf.squeeze(tmp, axis=1)
hidden_state = layer_cache[
_CONV_BRANCHES_SECOND_LAYER_NAME] = tf.transpose(
tmp, perm=[1, 0, 2])
hidden_state_indexes = [
decode_loop_step + i
for i in range(_DECODER_FINAL_CONV_PADDING + 1)
]
hidden_state = tf.gather(
hidden_state, hidden_state_indexes, axis=1)
else:
hidden_state = tf.pad(
hidden_state,
paddings=[[0, 0], [_DECODER_FINAL_CONV_PADDING, 0], [0, 0]])
separable_conv_7x1_2 = tf.layers.SeparableConv1D(
hparams.hidden_size,
7,
padding="VALID",
name="separable_conv_7x1_2")
hidden_state = separable_conv_7x1_2.apply(hidden_state)
hidden_state = common_layers.layer_postprocess(
residual_state, hidden_state, hparams)
with tf.variable_scope(_VANILLA_ATTENTION_NAME):
residual_state = hidden_state
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
attention_cache = layer_cache[
_VANILLA_ATTENTION_NAME] if layer_cache is not None else None
hidden_state = common_attention.multihead_attention(
hidden_state,
None,
decoder_self_attention_bias,
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,
attention_type=hparams.self_attention_type,
max_relative_position=hparams.max_relative_position,
heads_share_relative_embedding=(
hparams.heads_share_relative_embedding),
add_relative_to_values=hparams.add_relative_to_values,
save_weights_to=save_weights_to,
cache=attention_cache,
make_image_summary=make_image_summary,
dropout_broadcast_dims=attention_dropout_broadcast_dims,
max_length=hparams.get("max_length"),
decode_loop_step=decode_loop_step,
vars_3d=hparams.get("attention_variables_3d"),
activation_dtype=hparams.get("activation_dtype", "float32"),
weight_dtype=hparams.get("weight_dtype", "float32"))
hidden_state = common_layers.layer_postprocess(
residual_state, hidden_state, hparams)
if encoder_output is not None:
with tf.variable_scope(_SECOND_ATTEND_TO_ENCODER_NAME):
residual_state = hidden_state
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
attention_cache = (
layer_cache[_SECOND_ATTEND_TO_ENCODER_NAME]
if layer_cache is not None else None)
hidden_state = common_attention.multihead_attention(
hidden_state,
encoder_output,
encoder_decoder_attention_bias,
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,
max_relative_position=hparams.max_relative_position,
heads_share_relative_embedding=(
hparams.heads_share_relative_embedding),
add_relative_to_values=hparams.add_relative_to_values,
save_weights_to=save_weights_to,
cache=attention_cache,
make_image_summary=make_image_summary,
dropout_broadcast_dims=attention_dropout_broadcast_dims,
max_length=hparams.get("max_length"),
vars_3d=hparams.get("attention_variables_3d"),
activation_dtype=hparams.get("activation_dtype", "float32"),
weight_dtype=hparams.get("weight_dtype", "float32"))
hidden_state = common_layers.layer_postprocess(
residual_state, hidden_state, hparams)
with tf.variable_scope("dense_layers"):
residual_state = hidden_state
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
hidden_state = tf.layers.dense(
hidden_state,
int(hparams.hidden_size * 4),
activation=tf.nn.swish)
hidden_state = tf.nn.dropout(hidden_state,
1 - hparams.layer_prepostprocess_dropout)
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
hidden_state = tf.layers.dense(hidden_state, hparams.hidden_size)
hidden_state = common_layers.layer_postprocess(
residual_state, hidden_state, hparams)
return common_layers.layer_preprocess(hidden_state, hparams)
|
python
|
def evolved_transformer_decoder(decoder_input,
encoder_output,
decoder_self_attention_bias,
encoder_decoder_attention_bias,
hparams,
cache=None,
decode_loop_step=None,
name="decoder",
nonpadding=None,
save_weights_to=None,
make_image_summary=True,
losses=None):
"""Evolved Transformer decoder. See arxiv.org/abs/1901.11117 for more details.
Args:
decoder_input: a Tensor.
encoder_output: a Tensor.
decoder_self_attention_bias: bias Tensor for self-attention (see
common_attention.attention_bias()).
encoder_decoder_attention_bias: bias Tensor for encoder-decoder attention
(see common_attention.attention_bias()).
hparams: hyperparameters for model.
cache: dict, containing tensors which are the results of previous
layers, used for fast decoding.
decode_loop_step: An integer, step number of the decoding loop. Only used
for inference on TPU.
name: a string.
nonpadding: optional Tensor with shape [batch_size, encoder_length]
indicating what positions are not padding. This is used to mask out
padding in convolutional layers. We generally only need this mask for
"packed" datasets, because for ordinary datasets, no padding is ever
followed by nonpadding.
save_weights_to: an optional dictionary to capture attention weights for
visualization; the weights tensor will be appended there under a string
key created from the variable scope (including name).
make_image_summary: Whether to make an attention image summary.
losses: Not supported.
Returns:
Decoder output tensor.
"""
del losses
attention_dropout_broadcast_dims = (
common_layers.comma_separated_string_to_integer_list(
getattr(hparams, "attention_dropout_broadcast_dims", "")))
with tf.variable_scope(name):
hidden_state = decoder_input
for layer in range(hparams.num_decoder_layers or hparams.num_hidden_layers):
layer_name = "layer_%d" % layer
layer_cache = cache[layer_name] if cache is not None else None
with tf.variable_scope(layer_name):
with tf.variable_scope(_SIXTEEN_HEAD_ATTENTION_NAME):
residual_state = hidden_state
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
attention_cache = layer_cache[
_SIXTEEN_HEAD_ATTENTION_NAME] if layer_cache is not None else None
left_state = common_attention.multihead_attention(
hidden_state,
None,
decoder_self_attention_bias,
hparams.attention_key_channels or hparams.hidden_size,
hparams.attention_value_channels or hparams.hidden_size,
hparams.hidden_size,
_capped_double_heads(hparams.num_heads),
hparams.attention_dropout,
attention_type=hparams.self_attention_type,
max_relative_position=hparams.max_relative_position,
heads_share_relative_embedding=(
hparams.heads_share_relative_embedding),
add_relative_to_values=hparams.add_relative_to_values,
save_weights_to=save_weights_to,
cache=attention_cache,
make_image_summary=make_image_summary,
dropout_broadcast_dims=attention_dropout_broadcast_dims,
max_length=hparams.get("max_length"),
decode_loop_step=decode_loop_step,
vars_3d=hparams.get("attention_variables_3d"),
activation_dtype=hparams.get("activation_dtype", "float32"),
weight_dtype=hparams.get("weight_dtype", "float32"))
if encoder_output is not None:
with tf.variable_scope(_FIRST_ATTEND_TO_ENCODER_NAME):
attention_cache = (
layer_cache[_FIRST_ATTEND_TO_ENCODER_NAME]
if layer_cache is not None else None)
right_state = common_attention.multihead_attention(
hidden_state,
encoder_output,
encoder_decoder_attention_bias,
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,
max_relative_position=hparams.max_relative_position,
heads_share_relative_embedding=(
hparams.heads_share_relative_embedding),
add_relative_to_values=hparams.add_relative_to_values,
save_weights_to=save_weights_to,
cache=attention_cache,
make_image_summary=make_image_summary,
dropout_broadcast_dims=attention_dropout_broadcast_dims,
max_length=hparams.get("max_length"),
vars_3d=hparams.get("attention_variables_3d"),
activation_dtype=hparams.get("activation_dtype", "float32"),
weight_dtype=hparams.get("weight_dtype", "float32"))
left_state = tf.nn.dropout(left_state,
1 - hparams.layer_prepostprocess_dropout)
right_state = tf.nn.dropout(
right_state, 1 - hparams.layer_prepostprocess_dropout)
hidden_state = residual_state + left_state + right_state
else:
hidden_state = common_layers.layer_postprocess(
residual_state, left_state, hparams)
with tf.variable_scope(_CONV_BRANCHES_NAME):
residual_state = hidden_state
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
if nonpadding is not None:
# Mask padding from conv layers.
mask = tf.tile(
tf.expand_dims(nonpadding, 2), [1, 1, hparams.hidden_size])
hidden_state *= mask
if layer_cache:
if decode_loop_step is None:
hidden_state = layer_cache[
_CONV_BRANCHES_FIRST_LAYER_NAME] = tf.concat(
[
layer_cache[_CONV_BRANCHES_FIRST_LAYER_NAME],
hidden_state
],
axis=1)[:, -1 * _DECODER_LEFT_CONV_PADDING - 1:, :]
left_state = hidden_state
right_state = hidden_state[:, _DECODER_LEFT_CONV_PADDING -
_DECODER_RIGHT_CONV_PADDING:, :]
else:
# Inplace update is required for inference on TPU.
# Inplace_ops only supports inplace_update on the first dimension.
tmp = tf.transpose(
layer_cache[_CONV_BRANCHES_FIRST_LAYER_NAME], perm=[1, 0, 2])
tmp = tf.expand_dims(tmp, axis=1)
tmp = inplace_ops.alias_inplace_update(
tmp,
decode_loop_step * tf.shape(hidden_state)[1] +
_DECODER_LEFT_CONV_PADDING,
tf.transpose(hidden_state, perm=[1, 0, 2]))
tmp = tf.squeeze(tmp, axis=1)
hidden_state = layer_cache[
_CONV_BRANCHES_FIRST_LAYER_NAME] = tf.transpose(
tmp, perm=[1, 0, 2])
left_state_indexes = [
decode_loop_step + i
for i in range(_DECODER_LEFT_CONV_PADDING + 1)
]
left_state = tf.gather(hidden_state, left_state_indexes, axis=1)
right_state_indexes = [
decode_loop_step + i +
(_DECODER_LEFT_CONV_PADDING - _DECODER_RIGHT_CONV_PADDING)
for i in range(_DECODER_RIGHT_CONV_PADDING + 1)
]
right_state = tf.gather(hidden_state, right_state_indexes, axis=1)
else: # No caching.
left_state = tf.pad(
hidden_state,
paddings=[[0, 0], [_DECODER_LEFT_CONV_PADDING, 0], [0, 0]])
right_state = tf.pad(
hidden_state,
paddings=[[0, 0], [_DECODER_RIGHT_CONV_PADDING, 0], [0, 0]])
left_output_dim = int(hparams.hidden_size * 2)
separable_conv_11x1 = tf.layers.SeparableConv1D(
left_output_dim,
11,
padding="VALID",
name="separable_conv11x1",
activation=tf.nn.relu)
left_state = separable_conv_11x1.apply(left_state)
left_state = tf.nn.dropout(left_state,
1 - hparams.layer_prepostprocess_dropout)
right_output_dim = int(hparams.hidden_size / 2)
separable_conv_7x1_1 = tf.layers.SeparableConv1D(
right_output_dim, 7, padding="VALID", name="separable_conv_7x1_1")
right_state = separable_conv_7x1_1.apply(right_state)
right_state = tf.nn.dropout(right_state,
1 - hparams.layer_prepostprocess_dropout)
right_state = tf.pad(
right_state,
[[0, 0], [0, 0], [0, left_output_dim - right_output_dim]],
constant_values=0)
hidden_state = left_state + right_state
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
if nonpadding is not None:
# Mask padding from conv layers.
mask = tf.tile(
tf.expand_dims(nonpadding, 2), [1, 1, hparams.hidden_size * 2])
hidden_state *= mask
if layer_cache:
if decode_loop_step is None:
hidden_state = layer_cache[
_CONV_BRANCHES_SECOND_LAYER_NAME] = tf.concat(
[
layer_cache[_CONV_BRANCHES_SECOND_LAYER_NAME],
hidden_state
],
axis=1)[:, -1 * _DECODER_FINAL_CONV_PADDING - 1:, :]
else:
# Inplace update is required for inference on TPU.
# Inplace_ops only supports inplace_update on the first dimension.
tmp = tf.transpose(
layer_cache[_CONV_BRANCHES_SECOND_LAYER_NAME], perm=[1, 0, 2])
tmp = tf.expand_dims(tmp, axis=1)
tmp = inplace_ops.alias_inplace_update(
tmp, (decode_loop_step + _DECODER_FINAL_CONV_PADDING) *
tf.shape(hidden_state)[1],
tf.transpose(hidden_state, perm=[1, 0, 2]))
tmp = tf.squeeze(tmp, axis=1)
hidden_state = layer_cache[
_CONV_BRANCHES_SECOND_LAYER_NAME] = tf.transpose(
tmp, perm=[1, 0, 2])
hidden_state_indexes = [
decode_loop_step + i
for i in range(_DECODER_FINAL_CONV_PADDING + 1)
]
hidden_state = tf.gather(
hidden_state, hidden_state_indexes, axis=1)
else:
hidden_state = tf.pad(
hidden_state,
paddings=[[0, 0], [_DECODER_FINAL_CONV_PADDING, 0], [0, 0]])
separable_conv_7x1_2 = tf.layers.SeparableConv1D(
hparams.hidden_size,
7,
padding="VALID",
name="separable_conv_7x1_2")
hidden_state = separable_conv_7x1_2.apply(hidden_state)
hidden_state = common_layers.layer_postprocess(
residual_state, hidden_state, hparams)
with tf.variable_scope(_VANILLA_ATTENTION_NAME):
residual_state = hidden_state
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
attention_cache = layer_cache[
_VANILLA_ATTENTION_NAME] if layer_cache is not None else None
hidden_state = common_attention.multihead_attention(
hidden_state,
None,
decoder_self_attention_bias,
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,
attention_type=hparams.self_attention_type,
max_relative_position=hparams.max_relative_position,
heads_share_relative_embedding=(
hparams.heads_share_relative_embedding),
add_relative_to_values=hparams.add_relative_to_values,
save_weights_to=save_weights_to,
cache=attention_cache,
make_image_summary=make_image_summary,
dropout_broadcast_dims=attention_dropout_broadcast_dims,
max_length=hparams.get("max_length"),
decode_loop_step=decode_loop_step,
vars_3d=hparams.get("attention_variables_3d"),
activation_dtype=hparams.get("activation_dtype", "float32"),
weight_dtype=hparams.get("weight_dtype", "float32"))
hidden_state = common_layers.layer_postprocess(
residual_state, hidden_state, hparams)
if encoder_output is not None:
with tf.variable_scope(_SECOND_ATTEND_TO_ENCODER_NAME):
residual_state = hidden_state
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
attention_cache = (
layer_cache[_SECOND_ATTEND_TO_ENCODER_NAME]
if layer_cache is not None else None)
hidden_state = common_attention.multihead_attention(
hidden_state,
encoder_output,
encoder_decoder_attention_bias,
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,
max_relative_position=hparams.max_relative_position,
heads_share_relative_embedding=(
hparams.heads_share_relative_embedding),
add_relative_to_values=hparams.add_relative_to_values,
save_weights_to=save_weights_to,
cache=attention_cache,
make_image_summary=make_image_summary,
dropout_broadcast_dims=attention_dropout_broadcast_dims,
max_length=hparams.get("max_length"),
vars_3d=hparams.get("attention_variables_3d"),
activation_dtype=hparams.get("activation_dtype", "float32"),
weight_dtype=hparams.get("weight_dtype", "float32"))
hidden_state = common_layers.layer_postprocess(
residual_state, hidden_state, hparams)
with tf.variable_scope("dense_layers"):
residual_state = hidden_state
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
hidden_state = tf.layers.dense(
hidden_state,
int(hparams.hidden_size * 4),
activation=tf.nn.swish)
hidden_state = tf.nn.dropout(hidden_state,
1 - hparams.layer_prepostprocess_dropout)
hidden_state = common_layers.layer_preprocess(hidden_state, hparams)
hidden_state = tf.layers.dense(hidden_state, hparams.hidden_size)
hidden_state = common_layers.layer_postprocess(
residual_state, hidden_state, hparams)
return common_layers.layer_preprocess(hidden_state, hparams)
|
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Evolved Transformer decoder. See arxiv.org/abs/1901.11117 for more details.
Args:
decoder_input: a Tensor.
encoder_output: a Tensor.
decoder_self_attention_bias: bias Tensor for self-attention (see
common_attention.attention_bias()).
encoder_decoder_attention_bias: bias Tensor for encoder-decoder attention
(see common_attention.attention_bias()).
hparams: hyperparameters for model.
cache: dict, containing tensors which are the results of previous
layers, used for fast decoding.
decode_loop_step: An integer, step number of the decoding loop. Only used
for inference on TPU.
name: a string.
nonpadding: optional Tensor with shape [batch_size, encoder_length]
indicating what positions are not padding. This is used to mask out
padding in convolutional layers. We generally only need this mask for
"packed" datasets, because for ordinary datasets, no padding is ever
followed by nonpadding.
save_weights_to: an optional dictionary to capture attention weights for
visualization; the weights tensor will be appended there under a string
key created from the variable scope (including name).
make_image_summary: Whether to make an attention image summary.
losses: Not supported.
Returns:
Decoder output tensor.
|
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"details",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/evolved_transformer.py#L249-L589
|
train
|
Evolved 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('\x30' + chr(11241 - 11130) + '\x33' + '\x33' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010101 + 0o32) + chr(0b110011) + '\065' + '\067', 25870 - 25862), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b11000 + 0o127) + '\x33' + chr(53) + chr(0b101000 + 0o14), 6713 - 6705), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + '\x31' + chr(0b110010) + chr(0b110010 + 0o3), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\x30' + chr(0b0 + 0o65), 45477 - 45469), ehT0Px3KOsy9('\x30' + chr(3276 - 3165) + chr(0b110011) + chr(51) + chr(53), 34294 - 34286), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\061' + '\x31', 23278 - 23270), ehT0Px3KOsy9('\x30' + '\157' + chr(942 - 891) + '\x36' + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(0b110100) + chr(49), 0o10), ehT0Px3KOsy9(chr(1534 - 1486) + chr(111) + chr(49) + chr(1808 - 1756) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10101 + 0o34) + chr(52) + chr(2372 - 2322), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(1580 - 1469) + chr(51) + '\x30' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8119 - 8008) + chr(0b10001 + 0o41) + '\067' + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(2693 - 2582) + chr(0b110010) + '\065' + '\x31', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\066' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + chr(0b110101) + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(443 - 395) + '\157' + chr(50) + '\065' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1695 - 1644) + chr(483 - 434), 0b1000), ehT0Px3KOsy9(chr(1395 - 1347) + chr(0b1000101 + 0o52) + chr(0b1110 + 0o44) + chr(52) + chr(0b101101 + 0o12), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010011 + 0o34) + '\063' + '\064' + chr(0b100111 + 0o17), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(452 - 399) + chr(548 - 493), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11 + 0o154) + chr(372 - 324), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1375 - 1326) + chr(0b0 + 0o61) + chr(601 - 551), ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(50) + '\060' + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001111 + 0o40) + chr(148 - 99) + '\060' + chr(2133 - 2080), 19757 - 19749), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\x36' + chr(0b11000 + 0o33), 15018 - 15010), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(606 - 555) + '\x37' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2446 - 2335) + '\x30', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10110 + 0o34) + '\060' + chr(0b110000), 11847 - 11839), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\x36' + '\061', 29595 - 29587), ehT0Px3KOsy9(chr(952 - 904) + '\157' + chr(0b110001) + chr(51) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b111 + 0o53) + chr(50) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + chr(0b110010) + chr(0b110100) + '\x31', 0b1000), ehT0Px3KOsy9(chr(1660 - 1612) + '\157' + '\062' + '\x34' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b101101 + 0o102) + chr(102 - 51) + chr(0b110001) + chr(0b100100 + 0o16), 39213 - 39205), ehT0Px3KOsy9(chr(1278 - 1230) + chr(638 - 527) + '\061' + chr(51) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x37' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100 + 0o57) + '\x37' + chr(201 - 147), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(1096 - 985) + chr(53) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0'), '\x64' + chr(0b111101 + 0o50) + '\x63' + chr(0b1000111 + 0o50) + chr(0b1100100) + chr(101))(chr(10112 - 9995) + chr(0b1110100) + chr(0b1100110) + chr(0b100000 + 0o15) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def HIj2KCHglgLk(t5Jz9byuSQ65, NE_S2zAzN4PI, Z0c2rFCFDCFc, iuvkQfeRHfn5, n4ljua2gi1Pr, j1lPDdxcDbRB=None, Et0FYCPsowFY=None, AIvJRzLdDfgF=xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\x8a\x8f:\xe1\xb8\xbb'), chr(100) + chr(0b100001 + 0o104) + chr(99) + chr(0b1101111) + '\x64' + chr(5229 - 5128))(chr(9641 - 9524) + chr(116) + '\x66' + '\x2d' + chr(56)), qpPhEurkAWxO=None, zWaF_2VBEDjk=None, NC2xHNLwzxcH=ehT0Px3KOsy9('\x30' + '\x6f' + chr(53 - 4), 0b1000), eJKWkHA7qzlZ=None):
del eJKWkHA7qzlZ
UNqT6jwzCz6Y = jSKPaHwSAfVv.comma_separated_string_to_integer_list(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x9b\x980\xeb\xa9\xa0\x9d\x0f;\x06f\xa8\xca\xc6EZX\xc9k\xc8\x87\xcbc+\xf51,\x9ai\xed\x82'), '\x64' + chr(0b1100101) + chr(0b101101 + 0o66) + chr(0b1101111) + '\144' + chr(101))('\x75' + chr(11512 - 11396) + chr(0b1100110) + '\055' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(100) + '\145' + '\143' + '\157' + chr(8405 - 8305) + '\145')(chr(11665 - 11548) + chr(0b1110100) + chr(0b1010100 + 0o22) + '\055' + '\x38')))
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\x8e\x9e<\xe4\xbf\xa5\x97>\x17\x01{\xb7\xdf'), chr(0b111101 + 0o47) + '\x65' + '\x63' + chr(111) + '\x64' + chr(101))('\165' + chr(116) + '\x66' + chr(45) + '\x38'))(AIvJRzLdDfgF):
bHxQFh5OUZYs = t5Jz9byuSQ65
for wgamNHppspXj in vQr8gNKaIaWE(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xae\xbd\x85c\xdc\x9b\x88\xab$\n* '), chr(7989 - 7889) + chr(101) + '\143' + chr(3342 - 3231) + '\x64' + chr(0b10 + 0o143))(chr(117) + chr(0b1110100) + chr(1935 - 1833) + chr(1489 - 1444) + chr(56))) or xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\xb5\x84`\xda\xad\x85\xa7\x0e+\rN'), chr(0b1100100) + chr(0b1100101) + chr(3083 - 2984) + '\157' + '\144' + chr(0b110100 + 0o61))(chr(117) + chr(0b11001 + 0o133) + '\146' + chr(0b101101) + '\070'))):
YzJBPucQyDh2 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2\x8e\x950\xf7\x82\xec\x96'), '\144' + '\145' + chr(0b1100011) + chr(111) + chr(4279 - 4179) + chr(101))(chr(2133 - 2016) + chr(8563 - 8447) + chr(0b1000101 + 0o41) + '\x2d' + chr(0b0 + 0o70)) % wgamNHppspXj
Prr68ynwv_b_ = j1lPDdxcDbRB[YzJBPucQyDh2] if j1lPDdxcDbRB is not None else None
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\x8e\x9e<\xe4\xbf\xa5\x97>\x17\x01{\xb7\xdf'), chr(0b1100100) + '\x65' + chr(99) + '\157' + chr(0b1001101 + 0o27) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1100110) + '\x2d' + chr(0b10100 + 0o44)))(YzJBPucQyDh2):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\x8e\x9e<\xe4\xbf\xa5\x97>\x17\x01{\xb7\xdf'), chr(0b100 + 0o140) + chr(0b10001 + 0o124) + '\x63' + '\x6f' + '\144' + chr(0b111001 + 0o54))(chr(1110 - 993) + chr(12760 - 12644) + chr(102) + chr(0b101101) + chr(557 - 501)))(dNAx3zIP_Bpz):
jTMHR7IpnwKC = bHxQFh5OUZYs
bHxQFh5OUZYs = jSKPaHwSAfVv.layer_preprocess(bHxQFh5OUZYs, n4ljua2gi1Pr)
Gw8HLlBIWJS6 = Prr68ynwv_b_[dNAx3zIP_Bpz] if Prr68ynwv_b_ is not None else None
AZcvlNfcGk36 = WOnrfm4dlYcf.multihead_attention(bHxQFh5OUZYs, None, Z0c2rFCFDCFc, n4ljua2gi1Pr.Hj_JCZasfmqG or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.PZHUuenu09ti or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.qzoyXN3kdhDL, Im_hnKBMsrR6(n4ljua2gi1Pr.vRVqPOZ1hUG7), n4ljua2gi1Pr.RdMRr3qkYioQ, attention_type=n4ljua2gi1Pr.tbgb2B3hnGPW, max_relative_position=n4ljua2gi1Pr.Fskwuexcn3MJ, heads_share_relative_embedding=n4ljua2gi1Pr.heads_share_relative_embedding, add_relative_to_values=n4ljua2gi1Pr.add_relative_to_values, save_weights_to=zWaF_2VBEDjk, cache=Gw8HLlBIWJS6, make_image_summary=NC2xHNLwzxcH, dropout_broadcast_dims=UNqT6jwzCz6Y, max_length=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\x8e\x94\n\xe9\xb8\xa7\x95\x15\x0c'), chr(4128 - 4028) + chr(5354 - 5253) + chr(2472 - 2373) + chr(0b1101111) + chr(0b1100010 + 0o2) + chr(0b1100101))('\165' + '\x74' + '\x66' + chr(0b110 + 0o47) + chr(0b11011 + 0o35))), decode_loop_step=Et0FYCPsowFY, vars_3d=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x9b\x980\xeb\xa9\xa0\x9d\x0f;\x14u\xb5\xd3\xc8RBb\xd8F\x94\x82'), chr(286 - 186) + '\145' + '\x63' + chr(0b1000 + 0o147) + chr(441 - 341) + chr(101))('\165' + '\x74' + '\146' + chr(0b101101) + chr(0b100110 + 0o22))), activation_dtype=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x8c\x98<\xf3\xbc\xbd\x9b\x0e\n=p\xb3\xc3\xd9U'), chr(0b1100100) + chr(101) + chr(99) + chr(0b1101111) + '\144' + chr(9240 - 9139))(chr(13624 - 13507) + '\164' + '\x66' + chr(83 - 38) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\x83\x834\xf1\xee\xfb'), chr(0b11110 + 0o106) + chr(0b100110 + 0o77) + '\143' + '\157' + chr(0b1100100) + chr(0b1100101))('\165' + chr(0b1110100) + chr(6914 - 6812) + chr(1574 - 1529) + chr(0b10101 + 0o43))), weight_dtype=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\x8a\x852\xed\xa9\x96\x96\x15\x1d\x12q'), chr(100) + chr(0b1100101) + chr(0b110001 + 0o62) + chr(111) + '\x64' + '\145')(chr(8040 - 7923) + chr(0b1110100) + '\x66' + chr(794 - 749) + chr(0b110000 + 0o10)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\x83\x834\xf1\xee\xfb'), chr(712 - 612) + '\145' + chr(7440 - 7341) + chr(8529 - 8418) + chr(2969 - 2869) + chr(5371 - 5270))(chr(10637 - 10520) + chr(0b1001111 + 0o45) + chr(0b1100110) + chr(1632 - 1587) + '\x38')))
if NE_S2zAzN4PI is not None:
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\x8e\x9e<\xe4\xbf\xa5\x97>\x17\x01{\xb7\xdf'), chr(100) + chr(0b10011 + 0o122) + '\x63' + '\157' + chr(8904 - 8804) + chr(0b101101 + 0o70))(chr(117) + chr(0b1110100) + '\x66' + '\055' + chr(645 - 589)))(WyJfaV1v51jv):
Gw8HLlBIWJS6 = Prr68ynwv_b_[WyJfaV1v51jv] if Prr68ynwv_b_ is not None else None
_xhH2JK6zNKz = WOnrfm4dlYcf.multihead_attention(bHxQFh5OUZYs, NE_S2zAzN4PI, iuvkQfeRHfn5, n4ljua2gi1Pr.Hj_JCZasfmqG or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.PZHUuenu09ti or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.vRVqPOZ1hUG7, n4ljua2gi1Pr.RdMRr3qkYioQ, max_relative_position=n4ljua2gi1Pr.Fskwuexcn3MJ, heads_share_relative_embedding=n4ljua2gi1Pr.heads_share_relative_embedding, add_relative_to_values=n4ljua2gi1Pr.add_relative_to_values, save_weights_to=zWaF_2VBEDjk, cache=Gw8HLlBIWJS6, make_image_summary=NC2xHNLwzxcH, dropout_broadcast_dims=UNqT6jwzCz6Y, max_length=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\x8e\x94\n\xe9\xb8\xa7\x95\x15\x0c'), chr(100) + chr(8908 - 8807) + chr(7016 - 6917) + chr(0b100111 + 0o110) + '\144' + chr(0b1100101))(chr(0b1001011 + 0o52) + chr(1331 - 1215) + '\x66' + chr(879 - 834) + '\x38')), vars_3d=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x9b\x980\xeb\xa9\xa0\x9d\x0f;\x14u\xb5\xd3\xc8RBb\xd8F\x94\x82'), '\x64' + '\x65' + chr(0b101001 + 0o72) + chr(0b1101111) + chr(7969 - 7869) + '\x65')(chr(0b1110101) + '\x74' + '\x66' + chr(0b101101) + '\070')), activation_dtype=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x8c\x98<\xf3\xbc\xbd\x9b\x0e\n=p\xb3\xc3\xd9U'), chr(0b101110 + 0o66) + chr(0b101001 + 0o74) + chr(4446 - 4347) + chr(0b1101111) + chr(0b1100100) + chr(6529 - 6428))(chr(117) + chr(0b10101 + 0o137) + '\x66' + '\x2d' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\x83\x834\xf1\xee\xfb'), chr(5275 - 5175) + '\x65' + chr(8536 - 8437) + '\157' + chr(100) + '\x65')(chr(4317 - 4200) + '\164' + chr(0b10001 + 0o125) + chr(0b111 + 0o46) + '\x38')), weight_dtype=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\x8a\x852\xed\xa9\x96\x96\x15\x1d\x12q'), '\x64' + chr(101) + chr(0b1100011) + chr(0b1001011 + 0o44) + chr(100) + chr(101))(chr(117) + chr(0b1110100) + chr(10246 - 10144) + chr(0b11101 + 0o20) + chr(0b101000 + 0o20)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\x83\x834\xf1\xee\xfb'), chr(0b11000 + 0o114) + chr(101) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(1789 - 1688))(chr(628 - 511) + chr(993 - 877) + chr(0b111100 + 0o52) + '\055' + '\x38')))
AZcvlNfcGk36 = IDJ2eXGCBCDu.nn.ag0mwEgWzjYv(AZcvlNfcGk36, ehT0Px3KOsy9('\x30' + '\157' + chr(0b1101 + 0o44), 8) - n4ljua2gi1Pr.RW_xSzp18UeS)
_xhH2JK6zNKz = IDJ2eXGCBCDu.nn.ag0mwEgWzjYv(_xhH2JK6zNKz, ehT0Px3KOsy9('\060' + '\157' + chr(49), 8) - n4ljua2gi1Pr.RW_xSzp18UeS)
bHxQFh5OUZYs = jTMHR7IpnwKC + AZcvlNfcGk36 + _xhH2JK6zNKz
else:
bHxQFh5OUZYs = jSKPaHwSAfVv.layer_postprocess(jTMHR7IpnwKC, AZcvlNfcGk36, n4ljua2gi1Pr)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\x8e\x9e<\xe4\xbf\xa5\x97>\x17\x01{\xb7\xdf'), chr(0b1010110 + 0o16) + chr(0b101001 + 0o74) + '\143' + chr(2163 - 2052) + '\144' + chr(3385 - 3284))(chr(0b1010000 + 0o45) + '\164' + '\146' + chr(0b10110 + 0o27) + chr(56)))(FrdUtDxWOt4S):
jTMHR7IpnwKC = bHxQFh5OUZYs
bHxQFh5OUZYs = jSKPaHwSAfVv.layer_preprocess(bHxQFh5OUZYs, n4ljua2gi1Pr)
if qpPhEurkAWxO is not None:
Iz1jSgUKZDvt = IDJ2eXGCBCDu.tile(IDJ2eXGCBCDu.expand_dims(qpPhEurkAWxO, ehT0Px3KOsy9('\060' + '\157' + chr(0b110010), 0b1000)), [ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49), 8), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(5694 - 5583) + chr(49), 8), n4ljua2gi1Pr.qzoyXN3kdhDL])
bHxQFh5OUZYs *= Iz1jSgUKZDvt
if Prr68ynwv_b_:
if Et0FYCPsowFY is None:
bHxQFh5OUZYs = Prr68ynwv_b_[hUi72FLoWWcl] = IDJ2eXGCBCDu.concat([Prr68ynwv_b_[hUi72FLoWWcl], bHxQFh5OUZYs], axis=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061', 8))[:, -ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1072 - 1023), 8) * Tg8pM60KIe3N - ehT0Px3KOsy9(chr(48) + chr(0b1101000 + 0o7) + '\x31', 8):, :]
AZcvlNfcGk36 = bHxQFh5OUZYs
_xhH2JK6zNKz = bHxQFh5OUZYs[:, Tg8pM60KIe3N - tveAcazJ6mjr:, :]
else:
J8N_NsgU9OIv = IDJ2eXGCBCDu.transpose(Prr68ynwv_b_[hUi72FLoWWcl], perm=[ehT0Px3KOsy9(chr(48) + '\157' + '\061', 8), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(8610 - 8499) + '\x30', 8), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(1469 - 1358) + '\x32', 8)])
J8N_NsgU9OIv = IDJ2eXGCBCDu.expand_dims(J8N_NsgU9OIv, axis=ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b10110 + 0o131) + chr(300 - 251), 8))
J8N_NsgU9OIv = GanXbkgpxGLx.alias_inplace_update(J8N_NsgU9OIv, Et0FYCPsowFY * IDJ2eXGCBCDu.nauYfLglTpcb(bHxQFh5OUZYs)[ehT0Px3KOsy9('\060' + chr(0b111110 + 0o61) + chr(1896 - 1847), 8)] + Tg8pM60KIe3N, IDJ2eXGCBCDu.transpose(bHxQFh5OUZYs, perm=[ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + chr(49), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x30', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111 + 0o0) + chr(50), 8)]))
J8N_NsgU9OIv = IDJ2eXGCBCDu.squeeze(J8N_NsgU9OIv, axis=ehT0Px3KOsy9('\x30' + chr(9942 - 9831) + chr(0b1 + 0o60), 8))
bHxQFh5OUZYs = Prr68ynwv_b_[hUi72FLoWWcl] = IDJ2eXGCBCDu.transpose(J8N_NsgU9OIv, perm=[ehT0Px3KOsy9(chr(1528 - 1480) + chr(0b1101111) + '\x31', 8), ehT0Px3KOsy9(chr(1666 - 1618) + chr(0b1001011 + 0o44) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062', 8)])
rPL4HfxOu2NZ = [Et0FYCPsowFY + WVxHKyX45z_L for WVxHKyX45z_L in vQr8gNKaIaWE(Tg8pM60KIe3N + ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(469 - 420), 8))]
AZcvlNfcGk36 = IDJ2eXGCBCDu.kGr_8mTaGpVE(bHxQFh5OUZYs, rPL4HfxOu2NZ, axis=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49), 8))
P1sxZuSFi6qX = [Et0FYCPsowFY + WVxHKyX45z_L + (Tg8pM60KIe3N - tveAcazJ6mjr) for WVxHKyX45z_L in vQr8gNKaIaWE(tveAcazJ6mjr + ehT0Px3KOsy9('\060' + '\157' + '\x31', 8))]
_xhH2JK6zNKz = IDJ2eXGCBCDu.kGr_8mTaGpVE(bHxQFh5OUZYs, P1sxZuSFi6qX, axis=ehT0Px3KOsy9(chr(48) + chr(0b100 + 0o153) + '\x31', 8))
else:
AZcvlNfcGk36 = IDJ2eXGCBCDu.pad(bHxQFh5OUZYs, paddings=[[ehT0Px3KOsy9('\x30' + '\x6f' + '\060', 8), ehT0Px3KOsy9(chr(48) + chr(0b1111 + 0o140) + '\x30', 8)], [Tg8pM60KIe3N, ehT0Px3KOsy9('\x30' + chr(111) + '\x30', 8)], [ehT0Px3KOsy9(chr(1983 - 1935) + '\157' + chr(0b110000), 8), ehT0Px3KOsy9('\x30' + '\157' + '\x30', 8)]])
_xhH2JK6zNKz = IDJ2eXGCBCDu.pad(bHxQFh5OUZYs, paddings=[[ehT0Px3KOsy9('\060' + chr(9072 - 8961) + '\x30', 8), ehT0Px3KOsy9(chr(48) + chr(0b110000 + 0o77) + chr(0b101101 + 0o3), 8)], [tveAcazJ6mjr, ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + chr(0b11000 + 0o30), 8)], [ehT0Px3KOsy9('\x30' + chr(111) + chr(48), 8), ehT0Px3KOsy9(chr(2192 - 2144) + chr(111) + chr(1854 - 1806), 8)]])
cmKqQGLf9B11 = ehT0Px3KOsy9(n4ljua2gi1Pr.qzoyXN3kdhDL * ehT0Px3KOsy9(chr(1239 - 1191) + chr(111) + '\x32', 8))
d5QX8qpirxfS = IDJ2eXGCBCDu.layers.SeparableConv1D(cmKqQGLf9B11, ehT0Px3KOsy9(chr(48) + chr(0b1010111 + 0o30) + chr(49) + chr(674 - 623), 0o10), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\xae\xa0\x1c\xc1'), chr(6226 - 6126) + chr(0b1100101) + chr(0b11011 + 0o110) + chr(10465 - 10354) + chr(1093 - 993) + chr(0b1100101))('\x75' + chr(116) + '\x66' + '\055' + chr(0b111000)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xad\x8a\x9c4\xf7\xbc\xab\x9e\x04;\x01{\xa9\xcc\x98\x01V6'), chr(3602 - 3502) + '\145' + chr(0b11111 + 0o104) + '\157' + chr(0b101000 + 0o74) + chr(1493 - 1392))(chr(0b1000111 + 0o56) + chr(0b1110100) + chr(102) + chr(0b101101) + '\x38'), activation=IDJ2eXGCBCDu.nn.relu)
AZcvlNfcGk36 = d5QX8qpirxfS.apply(AZcvlNfcGk36)
AZcvlNfcGk36 = IDJ2eXGCBCDu.nn.ag0mwEgWzjYv(AZcvlNfcGk36, ehT0Px3KOsy9(chr(48) + chr(4044 - 3933) + chr(2087 - 2038), 8) - n4ljua2gi1Pr.RW_xSzp18UeS)
g4R9bc78Kwy9 = ehT0Px3KOsy9(n4ljua2gi1Pr.qzoyXN3kdhDL / ehT0Px3KOsy9('\x30' + chr(5494 - 5383) + chr(50), 8))
aPj6O6YIIFQF = IDJ2eXGCBCDu.layers.SeparableConv1D(g4R9bc78Kwy9, ehT0Px3KOsy9('\x30' + chr(111) + chr(1021 - 966), 8), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\xae\xa0\x1c\xc1'), chr(6420 - 6320) + chr(5358 - 5257) + chr(4033 - 3934) + chr(0b1101111) + chr(2451 - 2351) + chr(1320 - 1219))(chr(117) + '\x74' + '\x66' + chr(0b1101 + 0o40) + '\x38'), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xad\x8a\x9c4\xf7\xbc\xab\x9e\x04;\x01{\xa9\xcc\xf6\x07V6\xf4('), chr(0b100100 + 0o100) + '\145' + chr(2960 - 2861) + '\x6f' + chr(0b1100100) + chr(7246 - 7145))(chr(0b1110101) + chr(116) + '\x66' + chr(0b110 + 0o47) + chr(0b111000)))
_xhH2JK6zNKz = aPj6O6YIIFQF.apply(_xhH2JK6zNKz)
_xhH2JK6zNKz = IDJ2eXGCBCDu.nn.ag0mwEgWzjYv(_xhH2JK6zNKz, ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31', 8) - n4ljua2gi1Pr.RW_xSzp18UeS)
_xhH2JK6zNKz = IDJ2eXGCBCDu.pad(_xhH2JK6zNKz, [[ehT0Px3KOsy9(chr(289 - 241) + chr(0b1000001 + 0o56) + chr(357 - 309), 8), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + '\x30', 8)], [ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(8478 - 8367) + chr(0b101 + 0o53), 8), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(7492 - 7381) + chr(0b110000), 8)], [ehT0Px3KOsy9('\060' + chr(5325 - 5214) + chr(0b110000), 8), cmKqQGLf9B11 - g4R9bc78Kwy9]], constant_values=ehT0Px3KOsy9('\x30' + chr(111) + '\060', 8))
bHxQFh5OUZYs = AZcvlNfcGk36 + _xhH2JK6zNKz
bHxQFh5OUZYs = jSKPaHwSAfVv.layer_preprocess(bHxQFh5OUZYs, n4ljua2gi1Pr)
if qpPhEurkAWxO is not None:
Iz1jSgUKZDvt = IDJ2eXGCBCDu.tile(IDJ2eXGCBCDu.expand_dims(qpPhEurkAWxO, ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100101 + 0o15), 8)), [ehT0Px3KOsy9(chr(0b110000) + chr(0b100111 + 0o110) + chr(49), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101 + 0o54), 8), n4ljua2gi1Pr.qzoyXN3kdhDL * ehT0Px3KOsy9(chr(48) + chr(0b1000001 + 0o56) + chr(50), 8)])
bHxQFh5OUZYs *= Iz1jSgUKZDvt
if Prr68ynwv_b_:
if Et0FYCPsowFY is None:
bHxQFh5OUZYs = Prr68ynwv_b_[SHpXSvBOI7Bw] = IDJ2eXGCBCDu.concat([Prr68ynwv_b_[SHpXSvBOI7Bw], bHxQFh5OUZYs], axis=ehT0Px3KOsy9('\x30' + chr(111) + chr(221 - 172), 8))[:, -ehT0Px3KOsy9(chr(48) + chr(0b110101 + 0o72) + chr(0b10101 + 0o34), 8) * jOBiyCZuf0Fi - ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49), 8):, :]
else:
J8N_NsgU9OIv = IDJ2eXGCBCDu.transpose(Prr68ynwv_b_[SHpXSvBOI7Bw], perm=[ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001), 8), ehT0Px3KOsy9('\x30' + chr(0b1011100 + 0o23) + '\060', 8), ehT0Px3KOsy9(chr(48) + chr(0b1011111 + 0o20) + '\062', 8)])
J8N_NsgU9OIv = IDJ2eXGCBCDu.expand_dims(J8N_NsgU9OIv, axis=ehT0Px3KOsy9(chr(987 - 939) + chr(1795 - 1684) + chr(0b110001), 8))
J8N_NsgU9OIv = GanXbkgpxGLx.alias_inplace_update(J8N_NsgU9OIv, (Et0FYCPsowFY + jOBiyCZuf0Fi) * IDJ2eXGCBCDu.nauYfLglTpcb(bHxQFh5OUZYs)[ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(0b10101 + 0o34), 8)], IDJ2eXGCBCDu.transpose(bHxQFh5OUZYs, perm=[ehT0Px3KOsy9(chr(1738 - 1690) + chr(3992 - 3881) + chr(0b10010 + 0o37), 8), ehT0Px3KOsy9(chr(680 - 632) + '\x6f' + chr(0b110000), 8), ehT0Px3KOsy9(chr(308 - 260) + '\x6f' + '\x32', 8)]))
J8N_NsgU9OIv = IDJ2eXGCBCDu.squeeze(J8N_NsgU9OIv, axis=ehT0Px3KOsy9(chr(48) + chr(0b1001001 + 0o46) + chr(0b101011 + 0o6), 8))
bHxQFh5OUZYs = Prr68ynwv_b_[SHpXSvBOI7Bw] = IDJ2eXGCBCDu.transpose(J8N_NsgU9OIv, perm=[ehT0Px3KOsy9(chr(1053 - 1005) + '\157' + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110000), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32', 8)])
Y9O1Dsbo86Yp = [Et0FYCPsowFY + WVxHKyX45z_L for WVxHKyX45z_L in vQr8gNKaIaWE(jOBiyCZuf0Fi + ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001), 8))]
bHxQFh5OUZYs = IDJ2eXGCBCDu.kGr_8mTaGpVE(bHxQFh5OUZYs, Y9O1Dsbo86Yp, axis=ehT0Px3KOsy9(chr(48) + '\157' + chr(49), 8))
else:
bHxQFh5OUZYs = IDJ2eXGCBCDu.pad(bHxQFh5OUZYs, paddings=[[ehT0Px3KOsy9(chr(48) + '\x6f' + chr(48), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(688 - 640), 8)], [jOBiyCZuf0Fi, ehT0Px3KOsy9('\060' + '\x6f' + '\060', 8)], [ehT0Px3KOsy9(chr(48) + '\157' + chr(48), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x30', 8)]])
bI0CHU9Qudsh = IDJ2eXGCBCDu.layers.SeparableConv1D(n4ljua2gi1Pr.qzoyXN3kdhDL, ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1001000 + 0o47) + chr(0b110111), 8), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\xae\xa0\x1c\xc1'), chr(0b1100100) + chr(101) + chr(0b100110 + 0o75) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(117) + chr(0b1110100) + chr(0b1010010 + 0o24) + '\x2d' + chr(2003 - 1947)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xad\x8a\x9c4\xf7\xbc\xab\x9e\x04;\x01{\xa9\xcc\xf6\x07V6\xf4+'), chr(0b100000 + 0o104) + chr(4701 - 4600) + chr(0b1100011) + chr(111) + '\144' + chr(0b1100101))(chr(166 - 49) + '\164' + '\x66' + chr(0b101101) + chr(818 - 762)))
bHxQFh5OUZYs = bI0CHU9Qudsh.apply(bHxQFh5OUZYs)
bHxQFh5OUZYs = jSKPaHwSAfVv.layer_postprocess(jTMHR7IpnwKC, bHxQFh5OUZYs, n4ljua2gi1Pr)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\x8e\x9e<\xe4\xbf\xa5\x97>\x17\x01{\xb7\xdf'), chr(100) + chr(101) + chr(5595 - 5496) + chr(111) + chr(0b10000 + 0o124) + '\x65')(chr(117) + chr(12003 - 11887) + chr(102) + chr(216 - 171) + '\070'))(nUbOoeyokt8I):
jTMHR7IpnwKC = bHxQFh5OUZYs
bHxQFh5OUZYs = jSKPaHwSAfVv.layer_preprocess(bHxQFh5OUZYs, n4ljua2gi1Pr)
Gw8HLlBIWJS6 = Prr68ynwv_b_[nUbOoeyokt8I] if Prr68ynwv_b_ is not None else None
bHxQFh5OUZYs = WOnrfm4dlYcf.multihead_attention(bHxQFh5OUZYs, None, Z0c2rFCFDCFc, n4ljua2gi1Pr.Hj_JCZasfmqG or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.PZHUuenu09ti or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.vRVqPOZ1hUG7, n4ljua2gi1Pr.RdMRr3qkYioQ, attention_type=n4ljua2gi1Pr.tbgb2B3hnGPW, max_relative_position=n4ljua2gi1Pr.Fskwuexcn3MJ, heads_share_relative_embedding=n4ljua2gi1Pr.heads_share_relative_embedding, add_relative_to_values=n4ljua2gi1Pr.add_relative_to_values, save_weights_to=zWaF_2VBEDjk, cache=Gw8HLlBIWJS6, make_image_summary=NC2xHNLwzxcH, dropout_broadcast_dims=UNqT6jwzCz6Y, max_length=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\x8e\x94\n\xe9\xb8\xa7\x95\x15\x0c'), chr(2898 - 2798) + '\x65' + chr(435 - 336) + '\x6f' + chr(0b1100100) + chr(0b110 + 0o137))('\x75' + '\x74' + chr(2541 - 2439) + chr(0b101101) + '\070')), decode_loop_step=Et0FYCPsowFY, vars_3d=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x9b\x980\xeb\xa9\xa0\x9d\x0f;\x14u\xb5\xd3\xc8RBb\xd8F\x94\x82'), chr(100) + chr(0b101110 + 0o67) + chr(9435 - 9336) + chr(9754 - 9643) + '\144' + '\145')('\165' + chr(0b1101001 + 0o13) + '\x66' + '\x2d' + chr(56))), activation_dtype=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x8c\x98<\xf3\xbc\xbd\x9b\x0e\n=p\xb3\xc3\xd9U'), '\x64' + chr(9889 - 9788) + chr(2218 - 2119) + chr(0b1010001 + 0o36) + '\x64' + chr(0b1100101))(chr(0b1000110 + 0o57) + chr(0b1110100) + chr(0b1100110) + chr(593 - 548) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\x83\x834\xf1\xee\xfb'), chr(2595 - 2495) + '\x65' + '\x63' + chr(9562 - 9451) + '\x64' + chr(0b1100101))('\165' + chr(116) + chr(0b1100110) + chr(0b101101) + chr(1460 - 1404))), weight_dtype=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\x8a\x852\xed\xa9\x96\x96\x15\x1d\x12q'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b1001000 + 0o47) + chr(6288 - 6188) + chr(6533 - 6432))(chr(0b110 + 0o157) + chr(0b1000111 + 0o55) + chr(102) + '\055' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\x83\x834\xf1\xee\xfb'), '\x64' + '\x65' + chr(0b1100011) + '\157' + chr(100) + '\x65')(chr(0b1000111 + 0o56) + chr(0b1110100) + chr(0b10101 + 0o121) + chr(45) + chr(0b111000))))
bHxQFh5OUZYs = jSKPaHwSAfVv.layer_postprocess(jTMHR7IpnwKC, bHxQFh5OUZYs, n4ljua2gi1Pr)
if NE_S2zAzN4PI is not None:
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\x8e\x9e<\xe4\xbf\xa5\x97>\x17\x01{\xb7\xdf'), '\144' + chr(101) + chr(99) + '\157' + '\144' + chr(9398 - 9297))('\165' + chr(116) + chr(0b1100110) + chr(0b101101) + '\070'))(qeTxGd_PzITL):
jTMHR7IpnwKC = bHxQFh5OUZYs
bHxQFh5OUZYs = jSKPaHwSAfVv.layer_preprocess(bHxQFh5OUZYs, n4ljua2gi1Pr)
Gw8HLlBIWJS6 = Prr68ynwv_b_[qeTxGd_PzITL] if Prr68ynwv_b_ is not None else None
bHxQFh5OUZYs = WOnrfm4dlYcf.multihead_attention(bHxQFh5OUZYs, NE_S2zAzN4PI, iuvkQfeRHfn5, n4ljua2gi1Pr.Hj_JCZasfmqG or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.PZHUuenu09ti or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.vRVqPOZ1hUG7, n4ljua2gi1Pr.RdMRr3qkYioQ, max_relative_position=n4ljua2gi1Pr.Fskwuexcn3MJ, heads_share_relative_embedding=n4ljua2gi1Pr.heads_share_relative_embedding, add_relative_to_values=n4ljua2gi1Pr.add_relative_to_values, save_weights_to=zWaF_2VBEDjk, cache=Gw8HLlBIWJS6, make_image_summary=NC2xHNLwzxcH, dropout_broadcast_dims=UNqT6jwzCz6Y, max_length=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\x8e\x94\n\xe9\xb8\xa7\x95\x15\x0c'), chr(1793 - 1693) + chr(101) + chr(7364 - 7265) + chr(0b1010111 + 0o30) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(7172 - 7056) + chr(102) + chr(45) + '\x38')), vars_3d=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x9b\x980\xeb\xa9\xa0\x9d\x0f;\x14u\xb5\xd3\xc8RBb\xd8F\x94\x82'), chr(2577 - 2477) + '\145' + '\x63' + chr(0b1010010 + 0o35) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(45) + chr(0b110010 + 0o6))), activation_dtype=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x8c\x98<\xf3\xbc\xbd\x9b\x0e\n=p\xb3\xc3\xd9U'), chr(0b1000001 + 0o43) + chr(0b11010 + 0o113) + '\143' + chr(0b1000011 + 0o54) + chr(0b111010 + 0o52) + '\x65')('\165' + chr(0b111111 + 0o65) + chr(0b1100001 + 0o5) + '\x2d' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\x83\x834\xf1\xee\xfb'), chr(0b1100100) + '\x65' + chr(5044 - 4945) + chr(111) + '\144' + chr(0b1010001 + 0o24))('\x75' + chr(3761 - 3645) + chr(9969 - 9867) + '\055' + chr(2561 - 2505))), weight_dtype=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\x8a\x852\xed\xa9\x96\x96\x15\x1d\x12q'), chr(100) + '\x65' + chr(0b1100011) + chr(6045 - 5934) + '\x64' + '\145')(chr(5375 - 5258) + chr(0b1110100) + chr(0b100001 + 0o105) + chr(1286 - 1241) + chr(0b101110 + 0o12)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\x83\x834\xf1\xee\xfb'), chr(4292 - 4192) + '\145' + chr(0b1010110 + 0o15) + chr(0b1011 + 0o144) + chr(0b1100100) + chr(8730 - 8629))(chr(0b1110101) + '\164' + chr(0b1111 + 0o127) + '\055' + chr(1346 - 1290))))
bHxQFh5OUZYs = jSKPaHwSAfVv.layer_postprocess(jTMHR7IpnwKC, bHxQFh5OUZYs, n4ljua2gi1Pr)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\x8e\x9e<\xe4\xbf\xa5\x97>\x17\x01{\xb7\xdf'), chr(5873 - 5773) + chr(8243 - 8142) + chr(4270 - 4171) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(0b1100000 + 0o25) + '\x74' + '\146' + chr(45) + chr(0b10000 + 0o50)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\x8a\x82&\xe0\x82\xa5\x93\x18\x01\x10g'), chr(0b1000110 + 0o36) + '\145' + chr(99) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(0b1011011 + 0o32) + chr(10859 - 10743) + '\x66' + '\055' + chr(0b1111 + 0o51))):
jTMHR7IpnwKC = bHxQFh5OUZYs
bHxQFh5OUZYs = jSKPaHwSAfVv.layer_preprocess(bHxQFh5OUZYs, n4ljua2gi1Pr)
bHxQFh5OUZYs = IDJ2eXGCBCDu.layers.dense(bHxQFh5OUZYs, ehT0Px3KOsy9(n4ljua2gi1Pr.qzoyXN3kdhDL * ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011 + 0o1), ord("\x08"))), activation=IDJ2eXGCBCDu.nn.swish)
bHxQFh5OUZYs = IDJ2eXGCBCDu.nn.ag0mwEgWzjYv(bHxQFh5OUZYs, ehT0Px3KOsy9(chr(1281 - 1233) + chr(0b101000 + 0o107) + chr(49), 8) - n4ljua2gi1Pr.RW_xSzp18UeS)
bHxQFh5OUZYs = jSKPaHwSAfVv.layer_preprocess(bHxQFh5OUZYs, n4ljua2gi1Pr)
bHxQFh5OUZYs = IDJ2eXGCBCDu.layers.dense(bHxQFh5OUZYs, n4ljua2gi1Pr.qzoyXN3kdhDL)
bHxQFh5OUZYs = jSKPaHwSAfVv.layer_postprocess(jTMHR7IpnwKC, bHxQFh5OUZYs, n4ljua2gi1Pr)
return xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2\x8e\x950\xf7\x82\xb9\x80\x04\x14\x10{\xa4\xdf\xdaC'), chr(100) + '\145' + '\143' + chr(0b1001 + 0o146) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(45) + chr(0b111000)))(bHxQFh5OUZYs, n4ljua2gi1Pr)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/evolved_transformer.py
|
_add_attend_to_encoder_cache
|
def _add_attend_to_encoder_cache(cache, attention_name, hparams, num_layers,
key_channels, value_channels,
vars_3d_num_heads, scope_prefix,
encoder_output):
"""Add attend-to-encoder layers to cache."""
for layer in range(num_layers):
layer_name = "layer_%d" % layer
with tf.variable_scope("%sdecoder/%s/%s/multihead_attention" %
(scope_prefix, layer_name, attention_name)):
k_encdec = common_attention.compute_attention_component(
encoder_output,
key_channels,
name="k",
vars_3d_num_heads=vars_3d_num_heads)
k_encdec = common_attention.split_heads(k_encdec, hparams.num_heads)
v_encdec = common_attention.compute_attention_component(
encoder_output,
value_channels,
name="v",
vars_3d_num_heads=vars_3d_num_heads)
v_encdec = common_attention.split_heads(v_encdec, hparams.num_heads)
cache[layer_name][attention_name] = {
"k_encdec": k_encdec,
"v_encdec": v_encdec
}
return cache
|
python
|
def _add_attend_to_encoder_cache(cache, attention_name, hparams, num_layers,
key_channels, value_channels,
vars_3d_num_heads, scope_prefix,
encoder_output):
"""Add attend-to-encoder layers to cache."""
for layer in range(num_layers):
layer_name = "layer_%d" % layer
with tf.variable_scope("%sdecoder/%s/%s/multihead_attention" %
(scope_prefix, layer_name, attention_name)):
k_encdec = common_attention.compute_attention_component(
encoder_output,
key_channels,
name="k",
vars_3d_num_heads=vars_3d_num_heads)
k_encdec = common_attention.split_heads(k_encdec, hparams.num_heads)
v_encdec = common_attention.compute_attention_component(
encoder_output,
value_channels,
name="v",
vars_3d_num_heads=vars_3d_num_heads)
v_encdec = common_attention.split_heads(v_encdec, hparams.num_heads)
cache[layer_name][attention_name] = {
"k_encdec": k_encdec,
"v_encdec": v_encdec
}
return cache
|
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] |
Add attend-to-encoder layers to cache.
|
[
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"-",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/evolved_transformer.py#L592-L617
|
train
|
Add attend - to - encoder layers to cache.
|
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(111) + '\062' + chr(0b111 + 0o54) + '\x36', 28331 - 28323), ehT0Px3KOsy9(chr(789 - 741) + chr(111) + '\x32' + chr(2136 - 2088) + chr(187 - 137), 61558 - 61550), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + '\x35' + chr(0b101001 + 0o7), ord("\x08")), ehT0Px3KOsy9(chr(1119 - 1071) + chr(7320 - 7209) + chr(0b110011) + chr(0b110011) + '\x32', 45534 - 45526), ehT0Px3KOsy9(chr(48) + chr(4013 - 3902) + chr(0b110011) + chr(0b110110) + '\061', 0o10), ehT0Px3KOsy9(chr(1706 - 1658) + chr(0b110010 + 0o75) + chr(0b101111 + 0o4) + chr(53) + chr(621 - 572), 14179 - 14171), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + chr(1818 - 1707) + chr(1737 - 1686) + chr(55) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1844 - 1793) + chr(0b1 + 0o62) + chr(51), 0o10), ehT0Px3KOsy9(chr(1657 - 1609) + chr(11761 - 11650) + chr(0b110011) + chr(457 - 405) + chr(0b10101 + 0o40), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101111 + 0o100) + '\x31' + chr(0b110100) + '\065', 45410 - 45402), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011100 + 0o23) + '\x35' + '\x36', 58167 - 58159), ehT0Px3KOsy9('\060' + '\157' + chr(804 - 754) + chr(53) + chr(0b100001 + 0o23), 0b1000), ehT0Px3KOsy9(chr(880 - 832) + chr(111) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(55) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011010 + 0o25) + chr(51) + chr(0b110101) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4205 - 4094) + chr(1202 - 1151) + '\x34' + chr(289 - 235), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11100 + 0o25) + '\060' + chr(0b11 + 0o57), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + chr(165 - 115) + '\061' + chr(365 - 315), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b111 + 0o53) + chr(0b110001) + chr(49), 37194 - 37186), ehT0Px3KOsy9(chr(48) + chr(8321 - 8210) + chr(1618 - 1567) + chr(67 - 19) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(49), 38695 - 38687), ehT0Px3KOsy9('\x30' + '\157' + '\x34' + chr(0b10 + 0o65), 48419 - 48411), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1000110 + 0o51) + '\x37' + chr(620 - 570), 0o10), ehT0Px3KOsy9(chr(950 - 902) + chr(111) + '\x33' + '\x33' + '\066', 44319 - 44311), ehT0Px3KOsy9(chr(1176 - 1128) + chr(1690 - 1579) + chr(0b110011) + chr(1494 - 1444) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(937 - 889) + chr(0b1000111 + 0o50) + chr(0b101000 + 0o13) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9495 - 9384) + chr(55) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100001 + 0o20) + chr(0b100110 + 0o15), 0b1000), ehT0Px3KOsy9(chr(202 - 154) + chr(9283 - 9172) + '\x31' + '\x34' + chr(55), 58986 - 58978), ehT0Px3KOsy9(chr(1376 - 1328) + '\x6f' + chr(53) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b110001) + chr(2203 - 2149), 0b1000), ehT0Px3KOsy9(chr(332 - 284) + chr(0b1100100 + 0o13) + '\061' + chr(2367 - 2315) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + '\x32' + '\061', 8), ehT0Px3KOsy9('\060' + chr(0b1011111 + 0o20) + chr(2284 - 2234) + chr(0b1001 + 0o50), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(2112 - 2061) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(7377 - 7266) + chr(49) + chr(50) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b110101) + chr(565 - 512), 48779 - 48771), ehT0Px3KOsy9('\x30' + chr(0b1110 + 0o141) + chr(2117 - 2066) + chr(2133 - 2084) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1597 - 1547) + chr(49) + chr(95 - 44), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(991 - 938) + chr(1731 - 1683), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0'), '\x64' + '\x65' + chr(6322 - 6223) + chr(10570 - 10459) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b10101 + 0o137) + '\x66' + '\x2d' + chr(0b1010 + 0o56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def PamdL8OjdRaT(j1lPDdxcDbRB, AJmamPLc6Zyr, n4ljua2gi1Pr, uftkTXJyNORO, qCj6XQ8ebRhj, C09S2DK5vcyK, UlWL1V3BA5Ze, qIzCQVoWrDTz, NE_S2zAzN4PI):
for wgamNHppspXj in vQr8gNKaIaWE(uftkTXJyNORO):
YzJBPucQyDh2 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\xe3Q\xbf\x83\xb68\x9d'), '\144' + '\x65' + chr(0b1100011) + chr(111) + chr(0b110010 + 0o62) + '\145')('\x75' + chr(0b101 + 0o157) + chr(102) + chr(0b1010 + 0o43) + chr(0b10111 + 0o41)) % wgamNHppspXj
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xe3Z\xb3\x90\x8bq\x9c\x84\x96\x06A\xdce'), '\144' + '\x65' + chr(0b10110 + 0o115) + '\x6f' + chr(100) + chr(0b1100101))('\x75' + '\164' + '\146' + '\x2d' + chr(0b111000 + 0o0)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xf1L\xbf\x92\x86y\x9c\xa9\xca@]\x83%N\xc4\x8b7\xe6\xfd\xaayB[\xba\x8byM\x7f\x02D:\x08~\x7f'), chr(0b101 + 0o137) + chr(0b100100 + 0o101) + chr(0b1100011) + '\x6f' + chr(871 - 771) + chr(1254 - 1153))(chr(5169 - 5052) + chr(0b1110 + 0o146) + '\x66' + '\x2d' + chr(561 - 505)) % (qIzCQVoWrDTz, YzJBPucQyDh2, AJmamPLc6Zyr)):
vVYFW9ExGXV5 = WOnrfm4dlYcf.compute_attention_component(NE_S2zAzN4PI, qCj6XQ8ebRhj, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5'), '\x64' + chr(0b1000010 + 0o43) + '\x63' + chr(8377 - 8266) + chr(6468 - 6368) + chr(0b1100101))(chr(0b1011 + 0o152) + chr(116) + chr(0b11 + 0o143) + '\x2d' + '\x38'), vars_3d_num_heads=UlWL1V3BA5Ze)
vVYFW9ExGXV5 = WOnrfm4dlYcf.split_heads(vVYFW9ExGXV5, n4ljua2gi1Pr.vRVqPOZ1hUG7)
vkDzI5xeOKWd = WOnrfm4dlYcf.compute_attention_component(NE_S2zAzN4PI, C09S2DK5vcyK, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8'), '\144' + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b111 + 0o135) + chr(0b1010110 + 0o17))('\x75' + chr(116) + chr(102) + chr(0b101101) + '\x38'), vars_3d_num_heads=UlWL1V3BA5Ze)
vkDzI5xeOKWd = WOnrfm4dlYcf.split_heads(vkDzI5xeOKWd, n4ljua2gi1Pr.vRVqPOZ1hUG7)
j1lPDdxcDbRB[YzJBPucQyDh2][AJmamPLc6Zyr] = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\xddM\xb4\x92\x8dx\x9a'), '\144' + chr(0b1010 + 0o133) + chr(0b1000101 + 0o36) + chr(111) + chr(0b1001011 + 0o31) + chr(101))('\x75' + chr(0b1010111 + 0o35) + '\x66' + chr(1699 - 1654) + chr(535 - 479)): vVYFW9ExGXV5, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xddM\xb4\x92\x8dx\x9a'), '\x64' + '\x65' + '\x63' + chr(3515 - 3404) + chr(0b1100100) + '\145')('\165' + '\x74' + chr(0b1010010 + 0o24) + chr(1193 - 1148) + chr(0b10011 + 0o45)): vkDzI5xeOKWd}
return j1lPDdxcDbRB
|
tensorflow/tensor2tensor
|
tensor2tensor/models/evolved_transformer.py
|
_init_evolved_transformer_cache
|
def _init_evolved_transformer_cache(cache, hparams, batch_size,
attention_init_length, encoder_output,
encoder_decoder_attention_bias,
scope_prefix):
"""Create the initial cache for Evolved Transformer fast decoding."""
key_channels = hparams.attention_key_channels or hparams.hidden_size
value_channels = hparams.attention_value_channels or hparams.hidden_size
num_layers = hparams.num_decoder_layers or hparams.num_hidden_layers
vars_3d_num_heads = (
hparams.num_heads if hparams.get("attention_variables_3d") else 0)
# Add self-attentions.
if cache is None:
cache = {}
cache.update({
"layer_%d" % layer: { # pylint: disable=g-complex-comprehension
_SIXTEEN_HEAD_ATTENTION_NAME: {
"k":
common_attention.split_heads(
tf.zeros(
[batch_size, attention_init_length, key_channels]),
_capped_double_heads(hparams.num_heads)),
"v":
common_attention.split_heads(
tf.zeros(
[batch_size, attention_init_length, value_channels]),
_capped_double_heads(hparams.num_heads)),
},
_VANILLA_ATTENTION_NAME: {
"k":
common_attention.split_heads(
tf.zeros(
[batch_size, attention_init_length, key_channels]),
hparams.num_heads),
"v":
common_attention.split_heads(
tf.zeros(
[batch_size, attention_init_length, value_channels]),
hparams.num_heads),
}
} for layer in range(num_layers)
})
# Add branched layers. Pad with additional zeros for causal convolution.
for layer in range(num_layers):
cache["layer_%d" % layer][_CONV_BRANCHES_FIRST_LAYER_NAME] = tf.zeros([
batch_size, attention_init_length + _DECODER_LEFT_CONV_PADDING,
hparams.hidden_size
])
cache["layer_%d" % layer][_CONV_BRANCHES_SECOND_LAYER_NAME] = tf.zeros([
batch_size, attention_init_length + _DECODER_FINAL_CONV_PADDING,
hparams.hidden_size * 2
])
# Add encoder embedding attentions.
if encoder_output is not None:
cache = _add_attend_to_encoder_cache(
cache=cache,
attention_name=_FIRST_ATTEND_TO_ENCODER_NAME,
hparams=hparams,
num_layers=num_layers,
key_channels=key_channels,
value_channels=value_channels,
vars_3d_num_heads=vars_3d_num_heads,
scope_prefix=scope_prefix,
encoder_output=encoder_output)
cache = _add_attend_to_encoder_cache(
cache=cache,
attention_name=_SECOND_ATTEND_TO_ENCODER_NAME,
hparams=hparams,
num_layers=num_layers,
key_channels=key_channels,
value_channels=value_channels,
vars_3d_num_heads=vars_3d_num_heads,
scope_prefix=scope_prefix,
encoder_output=encoder_output)
cache["encoder_output"] = encoder_output
cache["encoder_decoder_attention_bias"] = encoder_decoder_attention_bias
return cache
|
python
|
def _init_evolved_transformer_cache(cache, hparams, batch_size,
attention_init_length, encoder_output,
encoder_decoder_attention_bias,
scope_prefix):
"""Create the initial cache for Evolved Transformer fast decoding."""
key_channels = hparams.attention_key_channels or hparams.hidden_size
value_channels = hparams.attention_value_channels or hparams.hidden_size
num_layers = hparams.num_decoder_layers or hparams.num_hidden_layers
vars_3d_num_heads = (
hparams.num_heads if hparams.get("attention_variables_3d") else 0)
# Add self-attentions.
if cache is None:
cache = {}
cache.update({
"layer_%d" % layer: { # pylint: disable=g-complex-comprehension
_SIXTEEN_HEAD_ATTENTION_NAME: {
"k":
common_attention.split_heads(
tf.zeros(
[batch_size, attention_init_length, key_channels]),
_capped_double_heads(hparams.num_heads)),
"v":
common_attention.split_heads(
tf.zeros(
[batch_size, attention_init_length, value_channels]),
_capped_double_heads(hparams.num_heads)),
},
_VANILLA_ATTENTION_NAME: {
"k":
common_attention.split_heads(
tf.zeros(
[batch_size, attention_init_length, key_channels]),
hparams.num_heads),
"v":
common_attention.split_heads(
tf.zeros(
[batch_size, attention_init_length, value_channels]),
hparams.num_heads),
}
} for layer in range(num_layers)
})
# Add branched layers. Pad with additional zeros for causal convolution.
for layer in range(num_layers):
cache["layer_%d" % layer][_CONV_BRANCHES_FIRST_LAYER_NAME] = tf.zeros([
batch_size, attention_init_length + _DECODER_LEFT_CONV_PADDING,
hparams.hidden_size
])
cache["layer_%d" % layer][_CONV_BRANCHES_SECOND_LAYER_NAME] = tf.zeros([
batch_size, attention_init_length + _DECODER_FINAL_CONV_PADDING,
hparams.hidden_size * 2
])
# Add encoder embedding attentions.
if encoder_output is not None:
cache = _add_attend_to_encoder_cache(
cache=cache,
attention_name=_FIRST_ATTEND_TO_ENCODER_NAME,
hparams=hparams,
num_layers=num_layers,
key_channels=key_channels,
value_channels=value_channels,
vars_3d_num_heads=vars_3d_num_heads,
scope_prefix=scope_prefix,
encoder_output=encoder_output)
cache = _add_attend_to_encoder_cache(
cache=cache,
attention_name=_SECOND_ATTEND_TO_ENCODER_NAME,
hparams=hparams,
num_layers=num_layers,
key_channels=key_channels,
value_channels=value_channels,
vars_3d_num_heads=vars_3d_num_heads,
scope_prefix=scope_prefix,
encoder_output=encoder_output)
cache["encoder_output"] = encoder_output
cache["encoder_decoder_attention_bias"] = encoder_decoder_attention_bias
return cache
|
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] |
Create the initial cache for Evolved Transformer fast decoding.
|
[
"Create",
"the",
"initial",
"cache",
"for",
"Evolved",
"Transformer",
"fast",
"decoding",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/evolved_transformer.py#L620-L700
|
train
|
Create the initial cache for Evolved Transformer fast decoding.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(955 - 906) + chr(0b1001 + 0o51) + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111010 + 0o65) + '\062' + '\x33' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101110 + 0o101) + chr(779 - 728) + '\x33' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(0b10010 + 0o37) + chr(329 - 274) + chr(0b10010 + 0o44), 19640 - 19632), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b0 + 0o63) + chr(0b101010 + 0o7), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7016 - 6905) + chr(0b100001 + 0o20) + '\x33' + chr(54), 24050 - 24042), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\066' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(2610 - 2555) + '\x32', 9187 - 9179), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101000 + 0o7) + chr(50) + chr(0b110101) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(12304 - 12193) + chr(51) + chr(51) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b10101 + 0o35) + '\x36', 8), ehT0Px3KOsy9(chr(1122 - 1074) + chr(0b1101111) + chr(0b110001) + chr(2326 - 2272) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4774 - 4663) + chr(0b110001) + chr(0b101 + 0o57) + chr(0b110000), 10395 - 10387), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100001 + 0o26) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b110101) + '\x35', 41078 - 41070), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101000 + 0o13) + chr(2165 - 2112) + '\x36', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(2079 - 2028) + chr(0b101101 + 0o10) + '\063', 63712 - 63704), ehT0Px3KOsy9(chr(0b110000) + chr(5505 - 5394) + chr(0b110001) + '\061' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(3139 - 3028) + chr(49) + chr(51) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(55) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2589 - 2538) + '\x34', 54098 - 54090), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + chr(0b11100 + 0o26) + chr(0b11100 + 0o24) + chr(0b10111 + 0o33), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + '\062' + chr(0b11110 + 0o30), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(50) + '\065', 0b1000), ehT0Px3KOsy9(chr(1719 - 1671) + '\x6f' + chr(0b110011) + chr(2046 - 1992) + chr(1886 - 1837), 0b1000), ehT0Px3KOsy9(chr(447 - 399) + chr(12212 - 12101) + chr(0b1111 + 0o42) + chr(0b1101 + 0o47) + chr(0b110010), 38553 - 38545), ehT0Px3KOsy9('\060' + chr(5473 - 5362) + chr(0b110001) + chr(0b110010) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101100 + 0o5) + '\x36' + chr(0b11001 + 0o27), 1148 - 1140), ehT0Px3KOsy9('\060' + chr(0b1101001 + 0o6) + chr(0b1110 + 0o45) + chr(53) + chr(0b1111 + 0o42), 45533 - 45525), ehT0Px3KOsy9(chr(1250 - 1202) + chr(7179 - 7068) + '\061' + chr(54) + chr(236 - 183), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2061 - 2011) + '\064' + chr(1525 - 1474), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1469 - 1419) + chr(50) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(1261 - 1207), 1762 - 1754), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\066' + chr(0b101011 + 0o5), 17796 - 17788), ehT0Px3KOsy9('\060' + chr(0b1100010 + 0o15) + '\x35' + chr(0b11011 + 0o33), 0o10), ehT0Px3KOsy9('\060' + chr(11717 - 11606) + chr(2003 - 1954) + chr(716 - 663) + chr(0b100011 + 0o15), 0o10), ehT0Px3KOsy9('\x30' + chr(0b11100 + 0o123) + '\x32' + chr(0b11111 + 0o23) + chr(2855 - 2801), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(1204 - 1155) + chr(0b110110), 8), ehT0Px3KOsy9(chr(48) + chr(3813 - 3702) + chr(0b1111 + 0o43) + chr(2008 - 1959) + chr(55), 0b1000)][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'x'), chr(100) + chr(101) + '\x63' + '\157' + chr(1086 - 986) + '\145')(chr(5065 - 4948) + chr(116) + '\146' + '\055' + chr(0b100101 + 0o23)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def R7JVtpDvAd5l(j1lPDdxcDbRB, n4ljua2gi1Pr, ix9dZyeAmUxY, vEnRXVs42OgZ, NE_S2zAzN4PI, iuvkQfeRHfn5, qIzCQVoWrDTz):
qCj6XQ8ebRhj = n4ljua2gi1Pr.Hj_JCZasfmqG or n4ljua2gi1Pr.qzoyXN3kdhDL
C09S2DK5vcyK = n4ljua2gi1Pr.PZHUuenu09ti or n4ljua2gi1Pr.qzoyXN3kdhDL
uftkTXJyNORO = n4ljua2gi1Pr.pRi6YFAYEnH4 or n4ljua2gi1Pr.jZh5_pLUoOoZ
UlWL1V3BA5Ze = n4ljua2gi1Pr.vRVqPOZ1hUG7 if n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'7\xe8\xab\x1b\xb7*\xde\x95d\xf5\xa87\x01\tZ\x0f\x82\x8e=\x00Hx'), '\x64' + '\145' + chr(99) + chr(0b1101111) + chr(0b10010 + 0o122) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(9489 - 9387) + chr(0b10001 + 0o34) + chr(1034 - 978))) else ehT0Px3KOsy9('\x30' + chr(2411 - 2300) + chr(0b110000), 46689 - 46681)
if j1lPDdxcDbRB is None:
j1lPDdxcDbRB = {}
xafqLlk3kkUe(j1lPDdxcDbRB, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c\xe8\x9e;\xb0\x10\xfd\x94s\x9e\xbbf'), '\144' + chr(101) + chr(0b110111 + 0o54) + chr(111) + chr(0b1100100) + chr(0b1000111 + 0o36))(chr(0b1100000 + 0o25) + chr(8315 - 8199) + '\x66' + chr(0b101101) + '\070'))({xafqLlk3kkUe(SXOLrMavuUCe(b':\xfd\xa6\x1b\xab\x01\x92\x9e'), chr(0b1100100) + '\145' + chr(6762 - 6663) + chr(0b110101 + 0o72) + '\144' + chr(6126 - 6025))(chr(0b1110101) + '\x74' + chr(102) + chr(0b101101) + chr(56)) % wgamNHppspXj: {dNAx3zIP_Bpz: {xafqLlk3kkUe(SXOLrMavuUCe(b'='), chr(0b111101 + 0o47) + chr(0b1001000 + 0o35) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(0b111100 + 0o51))(chr(6763 - 6646) + chr(0b1110100) + chr(102) + chr(45) + chr(0b111000)): xafqLlk3kkUe(WOnrfm4dlYcf, xafqLlk3kkUe(SXOLrMavuUCe(b'%\xec\xb3\x17\xad\x01\xdf\x9fk\xce\xad'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(0b1101111) + '\x64' + chr(101))(chr(0b111111 + 0o66) + chr(0b101001 + 0o113) + chr(102) + chr(542 - 497) + chr(56)))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b',\xf9\xad\x11\xaa'), '\x64' + chr(8270 - 8169) + chr(0b1100011) + chr(111) + chr(100) + '\145')(chr(117) + chr(0b101011 + 0o111) + chr(102) + chr(0b100100 + 0o11) + chr(56)))([ix9dZyeAmUxY, vEnRXVs42OgZ, qCj6XQ8ebRhj]), Im_hnKBMsrR6(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b' \xce\x89\x0f\x89\x11\xed\xcbb\xff\x99a'), chr(100) + chr(4477 - 4376) + chr(99) + '\157' + chr(1218 - 1118) + chr(8915 - 8814))('\x75' + chr(7531 - 7415) + chr(5242 - 5140) + chr(265 - 220) + chr(0b111000))))), xafqLlk3kkUe(SXOLrMavuUCe(b' '), chr(0b100 + 0o140) + chr(101) + '\x63' + chr(0b111 + 0o150) + '\144' + chr(101))(chr(0b101011 + 0o112) + '\164' + '\146' + chr(748 - 703) + chr(0b111000)): xafqLlk3kkUe(WOnrfm4dlYcf, xafqLlk3kkUe(SXOLrMavuUCe(b'%\xec\xb3\x17\xad\x01\xdf\x9fk\xce\xad'), chr(0b1100100) + chr(0b1100101) + chr(99) + '\x6f' + chr(0b1100100) + '\x65')(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b',\xf9\xad\x11\xaa'), '\144' + chr(101) + '\x63' + chr(2161 - 2050) + chr(0b100011 + 0o101) + chr(101))(chr(117) + '\x74' + chr(0b1100110) + chr(953 - 908) + chr(56)))([ix9dZyeAmUxY, vEnRXVs42OgZ, C09S2DK5vcyK]), Im_hnKBMsrR6(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b' \xce\x89\x0f\x89\x11\xed\xcbb\xff\x99a'), chr(100) + chr(0b111101 + 0o50) + chr(0b1011100 + 0o7) + '\157' + '\x64' + chr(0b1100101))('\165' + chr(116) + '\x66' + chr(0b101101) + chr(2594 - 2538)))))}, nUbOoeyokt8I: {xafqLlk3kkUe(SXOLrMavuUCe(b'='), '\144' + '\x65' + chr(0b1001110 + 0o25) + chr(0b1101111) + chr(100) + '\x65')(chr(0b1011111 + 0o26) + '\x74' + chr(0b1000001 + 0o45) + chr(0b10000 + 0o35) + chr(0b111000)): xafqLlk3kkUe(WOnrfm4dlYcf, xafqLlk3kkUe(SXOLrMavuUCe(b'%\xec\xb3\x17\xad\x01\xdf\x9fk\xce\xad'), '\144' + '\x65' + chr(0b1100011) + chr(4799 - 4688) + chr(0b10001 + 0o123) + chr(101))('\x75' + chr(116) + '\146' + chr(45) + chr(0b111000)))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b',\xf9\xad\x11\xaa'), chr(0b10110 + 0o116) + chr(0b1100101) + '\143' + '\157' + chr(100) + chr(0b111001 + 0o54))(chr(0b101110 + 0o107) + '\x74' + chr(0b1100110) + chr(0b11111 + 0o16) + '\070'))([ix9dZyeAmUxY, vEnRXVs42OgZ, qCj6XQ8ebRhj]), xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b' \xce\x89\x0f\x89\x11\xed\xcbb\xff\x99a'), '\144' + chr(0b1110 + 0o127) + chr(0b1100011) + chr(0b10001 + 0o136) + chr(100) + '\x65')(chr(117) + chr(0b1101110 + 0o6) + chr(0b1100110) + chr(876 - 831) + '\070'))), xafqLlk3kkUe(SXOLrMavuUCe(b' '), chr(0b101001 + 0o73) + '\x65' + '\143' + '\157' + '\x64' + chr(2468 - 2367))(chr(0b1110101) + chr(11398 - 11282) + chr(102) + '\055' + '\x38'): xafqLlk3kkUe(WOnrfm4dlYcf, xafqLlk3kkUe(SXOLrMavuUCe(b'%\xec\xb3\x17\xad\x01\xdf\x9fk\xce\xad'), chr(100) + '\x65' + '\x63' + chr(0b101111 + 0o100) + chr(4208 - 4108) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(0b1001110 + 0o30) + chr(0b1011 + 0o42) + chr(363 - 307)))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b',\xf9\xad\x11\xaa'), chr(100) + chr(0b101011 + 0o72) + '\x63' + chr(0b1001 + 0o146) + chr(0b1100100) + '\145')('\x75' + '\164' + '\x66' + chr(1809 - 1764) + chr(56)))([ix9dZyeAmUxY, vEnRXVs42OgZ, C09S2DK5vcyK]), xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b' \xce\x89\x0f\x89\x11\xed\xcbb\xff\x99a'), '\x64' + chr(0b1100101) + chr(0b1011010 + 0o11) + chr(5349 - 5238) + '\144' + chr(9428 - 9327))(chr(117) + chr(116) + chr(0b1000011 + 0o43) + chr(0b1010 + 0o43) + chr(981 - 925))))}} for wgamNHppspXj in vQr8gNKaIaWE(uftkTXJyNORO)})
for wgamNHppspXj in vQr8gNKaIaWE(uftkTXJyNORO):
j1lPDdxcDbRB[xafqLlk3kkUe(SXOLrMavuUCe(b':\xfd\xa6\x1b\xab\x01\x92\x9e'), chr(0b101110 + 0o66) + '\145' + chr(0b1100011) + '\x6f' + '\x64' + '\145')(chr(0b1110101) + chr(0b10101 + 0o137) + '\x66' + '\055' + chr(56)) % wgamNHppspXj][hUi72FLoWWcl] = IDJ2eXGCBCDu.zeros([ix9dZyeAmUxY, vEnRXVs42OgZ + Tg8pM60KIe3N, n4ljua2gi1Pr.qzoyXN3kdhDL])
j1lPDdxcDbRB[xafqLlk3kkUe(SXOLrMavuUCe(b':\xfd\xa6\x1b\xab\x01\x92\x9e'), '\144' + chr(0b1011101 + 0o10) + '\x63' + chr(111) + chr(0b1100100) + '\145')(chr(117) + chr(0b1101101 + 0o7) + '\146' + chr(45) + chr(3013 - 2957)) % wgamNHppspXj][SHpXSvBOI7Bw] = IDJ2eXGCBCDu.zeros([ix9dZyeAmUxY, vEnRXVs42OgZ + jOBiyCZuf0Fi, n4ljua2gi1Pr.qzoyXN3kdhDL * ehT0Px3KOsy9(chr(1275 - 1227) + chr(4536 - 4425) + chr(0b110010), 0o10)])
if NE_S2zAzN4PI is not None:
j1lPDdxcDbRB = PamdL8OjdRaT(cache=j1lPDdxcDbRB, attention_name=WyJfaV1v51jv, hparams=n4ljua2gi1Pr, num_layers=uftkTXJyNORO, key_channels=qCj6XQ8ebRhj, value_channels=C09S2DK5vcyK, vars_3d_num_heads=UlWL1V3BA5Ze, scope_prefix=qIzCQVoWrDTz, encoder_output=NE_S2zAzN4PI)
j1lPDdxcDbRB = PamdL8OjdRaT(cache=j1lPDdxcDbRB, attention_name=qeTxGd_PzITL, hparams=n4ljua2gi1Pr, num_layers=uftkTXJyNORO, key_channels=qCj6XQ8ebRhj, value_channels=C09S2DK5vcyK, vars_3d_num_heads=UlWL1V3BA5Ze, scope_prefix=qIzCQVoWrDTz, encoder_output=NE_S2zAzN4PI)
j1lPDdxcDbRB[xafqLlk3kkUe(SXOLrMavuUCe(b'3\xf2\xbc\x11\xbd;\xc5\xa5e\xdf\xaa&\x06\x14'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(111) + '\x64' + chr(101))('\x75' + chr(0b1101100 + 0o10) + chr(0b1100110) + chr(45) + chr(56))] = NE_S2zAzN4PI
j1lPDdxcDbRB[xafqLlk3kkUe(SXOLrMavuUCe(b'3\xf2\xbc\x11\xbd;\xc5\xa5n\xcf\xbd9\x17\x05I2\x8f\x9f::\x15h\xeb\xf9\xbb\xae\x009\x11\x9a'), chr(2691 - 2591) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(2012 - 1912) + chr(9062 - 8961))('\165' + chr(0b1100100 + 0o20) + chr(102) + chr(45) + chr(0b0 + 0o70))] = iuvkQfeRHfn5
return j1lPDdxcDbRB
|
tensorflow/tensor2tensor
|
tensor2tensor/models/evolved_transformer.py
|
add_evolved_transformer_hparams
|
def add_evolved_transformer_hparams(hparams):
"""Add Evolved Transformer hparams.
Note: These are for the Adam optimizer, not the Adafactor optimizer used in
the paper.
Args:
hparams: Current hparams.
Returns:
hparams updated with Evolved Transformer values.
"""
# Evolved Transformer "layers" are twice as deep as Transformer, so roughly
# halve the number that we use. These numbers are taken from
# arxiv.org/abs/1901.11117 .
hparams.num_encoder_layers = 3
hparams.num_decoder_layers = 4
# Learning rate and decay scheme that mimics the transformer Adam config,
# but with cosine decay instead of rsqrt.
hparams.learning_rate_constant /= hparams.learning_rate_warmup_steps ** 0.5
hparams.learning_rate_schedule = (
"constant*linear_warmup*single_cycle_cos_decay*rsqrt_hidden_size")
# The current infrastructure does not support exposing
# `train_steps` to the decay functions, and so we are hard coding the decay
# steps here to match the default number of train steps used in `t2t_trainer`.
# TODO(davidso): Thread `train_steps` through to decay functions so we do not
# have to worry about a `learning_rate_decay_steps` mismatch.
hparams.learning_rate_decay_steps = 250000
return hparams
|
python
|
def add_evolved_transformer_hparams(hparams):
"""Add Evolved Transformer hparams.
Note: These are for the Adam optimizer, not the Adafactor optimizer used in
the paper.
Args:
hparams: Current hparams.
Returns:
hparams updated with Evolved Transformer values.
"""
# Evolved Transformer "layers" are twice as deep as Transformer, so roughly
# halve the number that we use. These numbers are taken from
# arxiv.org/abs/1901.11117 .
hparams.num_encoder_layers = 3
hparams.num_decoder_layers = 4
# Learning rate and decay scheme that mimics the transformer Adam config,
# but with cosine decay instead of rsqrt.
hparams.learning_rate_constant /= hparams.learning_rate_warmup_steps ** 0.5
hparams.learning_rate_schedule = (
"constant*linear_warmup*single_cycle_cos_decay*rsqrt_hidden_size")
# The current infrastructure does not support exposing
# `train_steps` to the decay functions, and so we are hard coding the decay
# steps here to match the default number of train steps used in `t2t_trainer`.
# TODO(davidso): Thread `train_steps` through to decay functions so we do not
# have to worry about a `learning_rate_decay_steps` mismatch.
hparams.learning_rate_decay_steps = 250000
return hparams
|
[
"def",
"add_evolved_transformer_hparams",
"(",
"hparams",
")",
":",
"# Evolved Transformer \"layers\" are twice as deep as Transformer, so roughly",
"# halve the number that we use. These numbers are taken from",
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"# steps here to match the default number of train steps used in `t2t_trainer`.",
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"hparams",
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"learning_rate_decay_steps",
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] |
Add Evolved Transformer hparams.
Note: These are for the Adam optimizer, not the Adafactor optimizer used in
the paper.
Args:
hparams: Current hparams.
Returns:
hparams updated with Evolved Transformer values.
|
[
"Add",
"Evolved",
"Transformer",
"hparams",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/evolved_transformer.py#L704-L733
|
train
|
Add Evolved Transformer 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(1598 - 1550) + chr(111) + '\063' + chr(602 - 548) + chr(1577 - 1525), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101101 + 0o4) + chr(0b110001 + 0o2) + chr(0b100010 + 0o17), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(55) + chr(508 - 460), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + '\x36' + chr(48), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(2423 - 2373) + '\x30' + chr(1569 - 1519), 0b1000), ehT0Px3KOsy9(chr(48) + chr(568 - 457) + '\x32' + chr(54) + '\066', 0b1000), ehT0Px3KOsy9(chr(898 - 850) + chr(10741 - 10630) + chr(0b1001 + 0o52) + chr(0b110111) + '\x32', 26250 - 26242), ehT0Px3KOsy9(chr(711 - 663) + '\x6f' + '\063' + '\x36' + chr(2511 - 2460), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(0b110001) + chr(51), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(839 - 789) + '\x30' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1757 - 1706) + chr(1118 - 1068) + '\064', 5522 - 5514), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + '\061' + '\x32' + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100100 + 0o13) + chr(51) + chr(0b110001 + 0o4) + chr(0b100001 + 0o20), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + '\061' + '\x36' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10110 + 0o131) + chr(554 - 504) + '\x31' + chr(171 - 116), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(261 - 150) + chr(1760 - 1710) + '\x35' + chr(0b100010 + 0o25), 0b1000), ehT0Px3KOsy9(chr(649 - 601) + chr(0b110010 + 0o75) + '\x33' + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b1100 + 0o47) + '\x35', 58795 - 58787), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\x6f' + chr(0b110001) + chr(0b110010) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b110100 + 0o73) + chr(53 - 3) + chr(51) + chr(0b110000), 65122 - 65114), ehT0Px3KOsy9(chr(601 - 553) + '\157' + chr(49) + chr(0b101101 + 0o12) + chr(1677 - 1626), 0b1000), ehT0Px3KOsy9(chr(272 - 224) + chr(0b1101111) + chr(50) + chr(0b100000 + 0o27), 18510 - 18502), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(0b110011) + chr(0b10010 + 0o37), 18958 - 18950), ehT0Px3KOsy9('\x30' + chr(111) + chr(1344 - 1290) + '\065', 39709 - 39701), ehT0Px3KOsy9('\x30' + chr(11084 - 10973) + chr(0b110010) + chr(49) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + '\x31' + chr(2163 - 2113), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110111) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(179 - 131) + '\x6f' + '\x32' + '\x32' + chr(1039 - 989), 36786 - 36778), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1110 + 0o45) + chr(0b1011 + 0o54) + '\060', 33738 - 33730), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(0b110010) + chr(1776 - 1725) + '\062', 14019 - 14011), ehT0Px3KOsy9(chr(734 - 686) + '\x6f' + chr(530 - 479) + chr(1952 - 1903) + chr(159 - 106), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b11111 + 0o120) + chr(0b110010) + chr(563 - 510) + chr(170 - 115), 8), ehT0Px3KOsy9(chr(2164 - 2116) + chr(111) + chr(0b10011 + 0o36) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101111 + 0o100) + '\x33' + chr(1384 - 1330), 26872 - 26864), ehT0Px3KOsy9(chr(2132 - 2084) + '\x6f' + '\x32' + '\060' + '\x33', 8), ehT0Px3KOsy9(chr(443 - 395) + chr(4523 - 4412) + '\x31' + '\x35' + chr(869 - 818), 0o10), ehT0Px3KOsy9(chr(48) + chr(10168 - 10057) + '\x32' + chr(0b110000) + chr(697 - 643), ord("\x08")), ehT0Px3KOsy9(chr(1911 - 1863) + '\x6f' + chr(49) + '\067' + '\061', 0o10), ehT0Px3KOsy9(chr(1752 - 1704) + chr(8468 - 8357) + chr(0b1011 + 0o50) + chr(2101 - 2048) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10 + 0o155) + chr(0b100 + 0o57) + '\060' + '\065', 12916 - 12908)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + chr(53) + chr(1552 - 1504), 25135 - 25127)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xda'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(6234 - 6132) + chr(1086 - 1041) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def OAt9fNe9yL5C(n4ljua2gi1Pr):
n4ljua2gi1Pr.RS6YkARoTleN = ehT0Px3KOsy9('\x30' + chr(0b101011 + 0o104) + '\x33', 0o10)
n4ljua2gi1Pr.pRi6YFAYEnH4 = ehT0Px3KOsy9('\x30' + chr(111) + '\x34', 0b1000)
n4ljua2gi1Pr.Ot9HUjnkxXA_ /= n4ljua2gi1Pr.fHyhoyGmdvM9 ** 0.5
n4ljua2gi1Pr.Lz_s7neUzM5V = xafqLlk3kkUe(SXOLrMavuUCe(b'\x976VC\xf6\xd7\x94\x87\xe1\xef\xbd8\x8c\x13\xfd\xf0l<&\xf5\x0eg\xb3F\xe5\xe4X\xfe\x9d\xc5\xae\xd6or\xe64\xe5\x16\x9c\x9a\x90<[Q\xfb\x9c\x88\x80\xba\xf1\xa0\t\x81\x1b\xeb\xcb~3\x0b\xeb\x12m\xfc'), chr(0b1100100) + chr(5527 - 5426) + chr(5015 - 4916) + chr(0b100110 + 0o111) + '\x64' + '\x65')(chr(2560 - 2443) + chr(0b1101111 + 0o5) + chr(6910 - 6808) + chr(0b101101) + chr(56))
n4ljua2gi1Pr.YBAB1XyoxOc5 = ehT0Px3KOsy9(chr(611 - 563) + '\157' + chr(0b110110 + 0o1) + chr(0b110101 + 0o0) + chr(1263 - 1215) + '\x32' + '\062' + chr(0b111 + 0o51), 44478 - 44470)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/evolved_transformer.py
|
evolved_transformer_base_tpu
|
def evolved_transformer_base_tpu():
"""Base parameters for Evolved Transformer model on TPU."""
hparams = add_evolved_transformer_hparams(transformer.transformer_tpu())
hparams.learning_rate_constant = 1 / hparams.learning_rate_warmup_steps ** 0.5
hparams.learning_rate_schedule = (
"constant*single_cycle_cos_decay")
return hparams
|
python
|
def evolved_transformer_base_tpu():
"""Base parameters for Evolved Transformer model on TPU."""
hparams = add_evolved_transformer_hparams(transformer.transformer_tpu())
hparams.learning_rate_constant = 1 / hparams.learning_rate_warmup_steps ** 0.5
hparams.learning_rate_schedule = (
"constant*single_cycle_cos_decay")
return hparams
|
[
"def",
"evolved_transformer_base_tpu",
"(",
")",
":",
"hparams",
"=",
"add_evolved_transformer_hparams",
"(",
"transformer",
".",
"transformer_tpu",
"(",
")",
")",
"hparams",
".",
"learning_rate_constant",
"=",
"1",
"/",
"hparams",
".",
"learning_rate_warmup_steps",
"**",
"0.5",
"hparams",
".",
"learning_rate_schedule",
"=",
"(",
"\"constant*single_cycle_cos_decay\"",
")",
"return",
"hparams"
] |
Base parameters for Evolved Transformer model on TPU.
|
[
"Base",
"parameters",
"for",
"Evolved",
"Transformer",
"model",
"on",
"TPU",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/evolved_transformer.py#L749-L755
|
train
|
Base parameters for Evolved Transformer model 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('\060' + '\x6f' + chr(1222 - 1173) + chr(0b1 + 0o61) + chr(0b1001 + 0o54), 0b1000), ehT0Px3KOsy9(chr(223 - 175) + '\157' + chr(2403 - 2351) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101001 + 0o11) + chr(50) + chr(261 - 211), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10742 - 10631) + chr(965 - 914) + '\x34' + chr(818 - 769), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1111 + 0o140) + chr(499 - 445) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(1857 - 1809) + chr(111) + '\061' + '\x31', 0b1000), ehT0Px3KOsy9(chr(1258 - 1210) + chr(111) + '\x31' + chr(0b110110) + chr(945 - 897), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(494 - 445) + '\x35' + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(1711 - 1663) + chr(0b101010 + 0o10), 0b1000), ehT0Px3KOsy9(chr(1553 - 1505) + chr(0b100010 + 0o115) + chr(1875 - 1825) + chr(0b11110 + 0o22) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(264 - 216) + '\157' + chr(0b110001) + '\x32' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\060' + chr(2068 - 2013), 8371 - 8363), ehT0Px3KOsy9(chr(1564 - 1516) + chr(12235 - 12124) + '\063' + chr(52) + '\x37', 22632 - 22624), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\x35' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10000 + 0o137) + chr(0b10011 + 0o37) + chr(0b111 + 0o54) + chr(52), 30614 - 30606), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(49) + chr(265 - 210) + '\067', 7229 - 7221), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + '\060' + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(0b110000 + 0o5) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(0b101011 + 0o6) + chr(183 - 134) + '\063', 37367 - 37359), ehT0Px3KOsy9(chr(2295 - 2247) + '\x6f' + chr(49) + chr(0b110010) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\x31' + chr(0b110111 + 0o0), 0b1000), ehT0Px3KOsy9(chr(197 - 149) + chr(0b1101111) + '\x31' + chr(53) + chr(1406 - 1354), 8883 - 8875), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(0b10010 + 0o41) + chr(2080 - 2032) + '\061', 65353 - 65345), ehT0Px3KOsy9('\060' + chr(0b110 + 0o151) + '\x31' + '\065', 51424 - 51416), ehT0Px3KOsy9(chr(77 - 29) + '\x6f' + chr(0b11110 + 0o23) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(1449 - 1400) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6560 - 6449) + '\x31' + chr(0b110111) + '\061', 23194 - 23186), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(5970 - 5859) + chr(0b10010 + 0o44) + chr(1470 - 1421), 0b1000), ehT0Px3KOsy9(chr(1266 - 1218) + chr(0b100100 + 0o113) + chr(1540 - 1489) + '\060' + '\065', 2704 - 2696), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(55) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010011 + 0o34) + chr(0b110 + 0o54) + '\066' + chr(51), 990 - 982), ehT0Px3KOsy9('\060' + chr(111) + chr(54) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(5340 - 5229) + chr(50) + chr(0b1010 + 0o53) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011110 + 0o21) + chr(0b110010) + chr(0b100110 + 0o21) + chr(0b1101 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(1366 - 1318) + '\x6f' + chr(0b111 + 0o54) + chr(50) + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(0b110101 + 0o72) + chr(304 - 249) + chr(0b11100 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(12281 - 12170) + '\066' + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110000) + chr(6175 - 6064) + chr(50) + chr(0b11011 + 0o26) + chr(0b110100), 58563 - 58555), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b110100), 7058 - 7050), ehT0Px3KOsy9('\060' + chr(0b1000110 + 0o51) + '\x37' + chr(0b0 + 0o65), 55574 - 55566)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + '\065' + '\060', 2203 - 2195)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'{'), '\144' + chr(8450 - 8349) + '\143' + '\x6f' + '\144' + chr(6448 - 6347))(chr(0b1001001 + 0o54) + '\164' + chr(5994 - 5892) + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def bmwL1ocM0ZdW():
n4ljua2gi1Pr = OAt9fNe9yL5C(Nk9m9eKr4iuF.transformer_tpu())
n4ljua2gi1Pr.Ot9HUjnkxXA_ = ehT0Px3KOsy9(chr(2158 - 2110) + chr(111) + '\061', 0o10) / n4ljua2gi1Pr.fHyhoyGmdvM9 ** 0.5
n4ljua2gi1Pr.Lz_s7neUzM5V = xafqLlk3kkUe(SXOLrMavuUCe(b'6H\xfc\x92Dh\x1e\x1e\xe8\xf3=\xe9\x80\x03\xf9 "\xd0(<\xaa3\xa2bx\xd4\x1dT\xa6\x1b\xca'), chr(100) + chr(0b1001001 + 0o34) + '\143' + chr(289 - 178) + chr(0b1100100) + '\x65')(chr(117) + chr(0b10 + 0o162) + chr(0b100101 + 0o101) + '\055' + '\070')
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/evolved_transformer.py
|
evolved_transformer_big_tpu
|
def evolved_transformer_big_tpu():
"""Big parameters for Evolved Transformer model on TPU."""
hparams = add_evolved_transformer_hparams(transformer.transformer_big_tpu())
hparams.learning_rate_constant = 1 / hparams.learning_rate_warmup_steps ** 0.5
hparams.learning_rate_schedule = (
"constant*single_cycle_cos_decay")
return hparams
|
python
|
def evolved_transformer_big_tpu():
"""Big parameters for Evolved Transformer model on TPU."""
hparams = add_evolved_transformer_hparams(transformer.transformer_big_tpu())
hparams.learning_rate_constant = 1 / hparams.learning_rate_warmup_steps ** 0.5
hparams.learning_rate_schedule = (
"constant*single_cycle_cos_decay")
return hparams
|
[
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"evolved_transformer_big_tpu",
"(",
")",
":",
"hparams",
"=",
"add_evolved_transformer_hparams",
"(",
"transformer",
".",
"transformer_big_tpu",
"(",
")",
")",
"hparams",
".",
"learning_rate_constant",
"=",
"1",
"/",
"hparams",
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"learning_rate_warmup_steps",
"**",
"0.5",
"hparams",
".",
"learning_rate_schedule",
"=",
"(",
"\"constant*single_cycle_cos_decay\"",
")",
"return",
"hparams"
] |
Big parameters for Evolved Transformer model on TPU.
|
[
"Big",
"parameters",
"for",
"Evolved",
"Transformer",
"model",
"on",
"TPU",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/evolved_transformer.py#L759-L765
|
train
|
Big parameters for Evolved Transformer model 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(0b110000) + chr(5544 - 5433) + '\063' + chr(687 - 635) + chr(0b100101 + 0o22), 3147 - 3139), ehT0Px3KOsy9('\x30' + '\x6f' + chr(708 - 654) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100000 + 0o17) + chr(0b110100) + chr(0b1101 + 0o46), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + '\063' + '\060' + chr(0b0 + 0o66), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110000 + 0o77) + chr(1225 - 1175) + '\066' + '\061', 58491 - 58483), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(51) + '\x31' + chr(0b11 + 0o55), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + chr(49) + chr(49) + chr(50), 0o10), ehT0Px3KOsy9(chr(530 - 482) + '\x6f' + '\061' + chr(0b110111) + '\061', 55502 - 55494), ehT0Px3KOsy9(chr(726 - 678) + '\x6f' + '\064' + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100000 + 0o25) + '\062', 26507 - 26499), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10100 + 0o35) + '\060' + chr(1797 - 1744), 61242 - 61234), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(413 - 365) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(55) + chr(0b11001 + 0o34), 23702 - 23694), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\x35' + chr(0b110 + 0o55), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b110000) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b100001 + 0o22) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(4159 - 4048) + chr(53) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(1350 - 1302) + chr(111) + '\x33' + '\067' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\x33' + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\061' + '\062' + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001), 50986 - 50978), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b10100 + 0o42) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(1412 - 1361) + '\066' + chr(1815 - 1761), 0b1000), ehT0Px3KOsy9(chr(907 - 859) + chr(0b101101 + 0o102) + chr(0b10101 + 0o36) + chr(52) + '\x35', 23464 - 23456), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(2232 - 2183) + chr(0b110111), 38721 - 38713), ehT0Px3KOsy9(chr(1791 - 1743) + chr(0b11110 + 0o121) + chr(49) + chr(49) + chr(0b101010 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(12283 - 12172) + chr(2536 - 2485) + chr(51) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + chr(6593 - 6482) + chr(0b11 + 0o60) + '\065' + chr(55), 5877 - 5869), ehT0Px3KOsy9(chr(1593 - 1545) + chr(111) + '\062' + chr(0b100011 + 0o24) + chr(1856 - 1802), 6169 - 6161), ehT0Px3KOsy9('\x30' + chr(0b1011000 + 0o27) + chr(132 - 83) + '\060' + chr(53), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1010 + 0o47) + chr(48) + chr(0b110001 + 0o6), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10001 + 0o42) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(6343 - 6232) + chr(51) + chr(1803 - 1755) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011110 + 0o21) + chr(1653 - 1604) + chr(0b110100) + chr(387 - 332), 0b1000), ehT0Px3KOsy9('\x30' + chr(1595 - 1484) + chr(0b110010) + chr(55) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5789 - 5678) + '\061' + '\x34' + chr(0b0 + 0o62), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4627 - 4516) + '\x32' + chr(0b1001 + 0o50) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(53) + chr(55), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(134 - 84) + '\x32' + chr(0b110111), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2022 - 1974) + '\x6f' + chr(53) + chr(1167 - 1119), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9'), chr(2450 - 2350) + '\x65' + chr(0b1001011 + 0o30) + chr(111) + '\x64' + chr(0b1001110 + 0o27))(chr(9972 - 9855) + chr(1427 - 1311) + '\x66' + chr(755 - 710) + chr(0b110011 + 0o5)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def n3PCxCCogYuS():
n4ljua2gi1Pr = OAt9fNe9yL5C(Nk9m9eKr4iuF.transformer_big_tpu())
n4ljua2gi1Pr.Ot9HUjnkxXA_ = ehT0Px3KOsy9(chr(2078 - 2030) + '\157' + chr(0b11 + 0o56), 8) / n4ljua2gi1Pr.fHyhoyGmdvM9 ** 0.5
n4ljua2gi1Pr.Lz_s7neUzM5V = xafqLlk3kkUe(SXOLrMavuUCe(b'\x84]M\xb5\xc5\xa9$\r\x0cY,(\x1a\x87\xe0\x04O\x81\xff<d,\x95\x8a<\x17\xbdo\x8c\xdf<'), chr(0b110101 + 0o57) + chr(0b1100101) + '\x63' + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(117) + chr(1707 - 1591) + chr(0b1100110) + chr(0b11100 + 0o21) + chr(0b101001 + 0o17))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/moe.py
|
transformer_moe_layer_v1
|
def transformer_moe_layer_v1(inputs, output_dim, hparams, train,
master_dtype=tf.bfloat16,
slice_dtype=tf.float32):
"""Local mixture of experts that works well on TPU.
Adapted from the paper https://arxiv.org/abs/1701.06538
Note: until the algorithm and inferface solidify, we pass in a hyperparameters
dictionary in order not to complicate the interface in mtf_transformer.py .
Once this code moves out of "research", we should pass the hyperparameters
separately.
Hyperparameters used:
hparams.moe_num_experts: number of experts
hparams.moe_hidden_size: size of hidden layer in each expert
hparams.moe_group_size: size of each "group" for gating purposes
hparams.moe_capacity_factor_train: a float
hparams.moe_capacity_factor_eval: a float
hparams.moe_gating: a string
+ all hyperparmeters used by _top_2_gating()
The number of parameters in the gating network is:
(input_dim.size * hparams.num_experts) +
The number of parameters in the experts themselves is:
(hparams.num_experts
* (input_dim.size + output_dim.size)
* hparams.moe_hidden_size)
The input is n-dimensional: [<batch_and_length_dims>, input_dim], consisting
of the representations of all positions in a batch of sequences.
Each position of each sequence is sent to 0-2 experts. The expert
choices and the combination weights are determined by a learned gating
function.
This function returns a small auxiliary loss that should be added to the
training loss of the model. This loss helps to balance expert usage.
Without the loss, it is very likely that a few experts will be trained and
the rest will starve.
Several hacks are necessary to get around current TPU limitations:
- To ensure static shapes, we enforce (by truncation/padding)
that each sequence send the same number of elements to each expert.
It would make more sense to enforce this equality over the entire batch,
but due to our hacked-up gather-by-matmul implementation, we need to divide
the batch into "groups". For each group, the same number of elements
are sent to each expert.
TODO(noam): Factor this code better. We want to be able to substitute
different code for the experts themselves.
Args:
inputs: a mtf.Tensor with shape [<batch_dims...>, length_dim, input_dim]
output_dim: a mtf.Dimension (for Transformer, this is input_dim)
hparams: model hyperparameters
train: a boolean
master_dtype: a tf.dtype
slice_dtype: a tf.dtype
Returns:
outputs: a Tensor with shape [<batch_dims...>, length_dim, output_dim]
loss: a mtf scalar
Raises:
ValueError: on unrecognized hparams.moe_gating
"""
orig_inputs = inputs
input_dim = inputs.shape.dims[-1]
hidden_dim = mtf.Dimension("expert_hidden", hparams.moe_hidden_size)
experts_dim = mtf.Dimension("experts", hparams.moe_num_experts)
group_size_dim = mtf.Dimension("group", hparams.moe_group_size)
batch_dim = mtf.Dimension(
orig_inputs.shape[0].name,
orig_inputs.shape.size // (group_size_dim.size * input_dim.size))
inputs = mtf.reshape(inputs, [batch_dim, group_size_dim, input_dim])
# Each sequence sends expert_capacity positions to each expert.
capacity_factor = (
hparams.moe_capacity_factor_train if train else
hparams.moe_capacity_factor_eval)
expert_capacity = min(
group_size_dim.size,
int((group_size_dim.size * capacity_factor) / experts_dim.size))
expert_capacity_dim = mtf.Dimension("expert_capacity", expert_capacity)
experts_dim_unsplit = mtf.Dimension("expert_unsplit", experts_dim.size)
batch_dim_unsplit = mtf.Dimension("batch_unsplit", batch_dim.size)
if hparams.moe_gating == "top_2":
dispatch_tensor, combine_tensor, loss = _top_2_gating(
inputs=inputs,
outer_expert_dims=None,
experts_dim=experts_dim_unsplit,
expert_capacity_dim=expert_capacity_dim,
hparams=hparams,
train=train)
else:
raise ValueError("unknown hparams.moe_gating=%s" % hparams.moe_gating)
# put num_experts dimension first to make split easier in alltoall
expert_inputs = mtf.einsum([inputs, dispatch_tensor], mtf.Shape(
[experts_dim_unsplit, batch_dim, expert_capacity_dim, input_dim]))
expert_inputs = mtf.reshape(expert_inputs, mtf.Shape(
[experts_dim, batch_dim_unsplit, expert_capacity_dim, input_dim]))
# Now feed the expert inputs through the experts.
h = mtf.layers.dense(
expert_inputs, hidden_dim, expert_dims=[experts_dim],
activation=mtf.relu, use_bias=False, master_dtype=master_dtype,
slice_dtype=slice_dtype, name="x0")
expert_output = mtf.layers.dense(
h, output_dim, expert_dims=[experts_dim], use_bias=False,
master_dtype=master_dtype, slice_dtype=slice_dtype, name="x1")
expert_output = mtf.reshape(expert_output, mtf.Shape(
[experts_dim_unsplit, batch_dim, expert_capacity_dim, input_dim]))
output = mtf.einsum([expert_output, combine_tensor], mtf.Shape(
[batch_dim, group_size_dim, output_dim]))
output = mtf.reshape(output, orig_inputs.shape.dims[:-1] + [output_dim])
return output, loss * hparams.moe_loss_coef
|
python
|
def transformer_moe_layer_v1(inputs, output_dim, hparams, train,
master_dtype=tf.bfloat16,
slice_dtype=tf.float32):
"""Local mixture of experts that works well on TPU.
Adapted from the paper https://arxiv.org/abs/1701.06538
Note: until the algorithm and inferface solidify, we pass in a hyperparameters
dictionary in order not to complicate the interface in mtf_transformer.py .
Once this code moves out of "research", we should pass the hyperparameters
separately.
Hyperparameters used:
hparams.moe_num_experts: number of experts
hparams.moe_hidden_size: size of hidden layer in each expert
hparams.moe_group_size: size of each "group" for gating purposes
hparams.moe_capacity_factor_train: a float
hparams.moe_capacity_factor_eval: a float
hparams.moe_gating: a string
+ all hyperparmeters used by _top_2_gating()
The number of parameters in the gating network is:
(input_dim.size * hparams.num_experts) +
The number of parameters in the experts themselves is:
(hparams.num_experts
* (input_dim.size + output_dim.size)
* hparams.moe_hidden_size)
The input is n-dimensional: [<batch_and_length_dims>, input_dim], consisting
of the representations of all positions in a batch of sequences.
Each position of each sequence is sent to 0-2 experts. The expert
choices and the combination weights are determined by a learned gating
function.
This function returns a small auxiliary loss that should be added to the
training loss of the model. This loss helps to balance expert usage.
Without the loss, it is very likely that a few experts will be trained and
the rest will starve.
Several hacks are necessary to get around current TPU limitations:
- To ensure static shapes, we enforce (by truncation/padding)
that each sequence send the same number of elements to each expert.
It would make more sense to enforce this equality over the entire batch,
but due to our hacked-up gather-by-matmul implementation, we need to divide
the batch into "groups". For each group, the same number of elements
are sent to each expert.
TODO(noam): Factor this code better. We want to be able to substitute
different code for the experts themselves.
Args:
inputs: a mtf.Tensor with shape [<batch_dims...>, length_dim, input_dim]
output_dim: a mtf.Dimension (for Transformer, this is input_dim)
hparams: model hyperparameters
train: a boolean
master_dtype: a tf.dtype
slice_dtype: a tf.dtype
Returns:
outputs: a Tensor with shape [<batch_dims...>, length_dim, output_dim]
loss: a mtf scalar
Raises:
ValueError: on unrecognized hparams.moe_gating
"""
orig_inputs = inputs
input_dim = inputs.shape.dims[-1]
hidden_dim = mtf.Dimension("expert_hidden", hparams.moe_hidden_size)
experts_dim = mtf.Dimension("experts", hparams.moe_num_experts)
group_size_dim = mtf.Dimension("group", hparams.moe_group_size)
batch_dim = mtf.Dimension(
orig_inputs.shape[0].name,
orig_inputs.shape.size // (group_size_dim.size * input_dim.size))
inputs = mtf.reshape(inputs, [batch_dim, group_size_dim, input_dim])
# Each sequence sends expert_capacity positions to each expert.
capacity_factor = (
hparams.moe_capacity_factor_train if train else
hparams.moe_capacity_factor_eval)
expert_capacity = min(
group_size_dim.size,
int((group_size_dim.size * capacity_factor) / experts_dim.size))
expert_capacity_dim = mtf.Dimension("expert_capacity", expert_capacity)
experts_dim_unsplit = mtf.Dimension("expert_unsplit", experts_dim.size)
batch_dim_unsplit = mtf.Dimension("batch_unsplit", batch_dim.size)
if hparams.moe_gating == "top_2":
dispatch_tensor, combine_tensor, loss = _top_2_gating(
inputs=inputs,
outer_expert_dims=None,
experts_dim=experts_dim_unsplit,
expert_capacity_dim=expert_capacity_dim,
hparams=hparams,
train=train)
else:
raise ValueError("unknown hparams.moe_gating=%s" % hparams.moe_gating)
# put num_experts dimension first to make split easier in alltoall
expert_inputs = mtf.einsum([inputs, dispatch_tensor], mtf.Shape(
[experts_dim_unsplit, batch_dim, expert_capacity_dim, input_dim]))
expert_inputs = mtf.reshape(expert_inputs, mtf.Shape(
[experts_dim, batch_dim_unsplit, expert_capacity_dim, input_dim]))
# Now feed the expert inputs through the experts.
h = mtf.layers.dense(
expert_inputs, hidden_dim, expert_dims=[experts_dim],
activation=mtf.relu, use_bias=False, master_dtype=master_dtype,
slice_dtype=slice_dtype, name="x0")
expert_output = mtf.layers.dense(
h, output_dim, expert_dims=[experts_dim], use_bias=False,
master_dtype=master_dtype, slice_dtype=slice_dtype, name="x1")
expert_output = mtf.reshape(expert_output, mtf.Shape(
[experts_dim_unsplit, batch_dim, expert_capacity_dim, input_dim]))
output = mtf.einsum([expert_output, combine_tensor], mtf.Shape(
[batch_dim, group_size_dim, output_dim]))
output = mtf.reshape(output, orig_inputs.shape.dims[:-1] + [output_dim])
return output, loss * hparams.moe_loss_coef
|
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"(",
"inputs",
",",
"output_dim",
",",
"hparams",
",",
"train",
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] |
Local mixture of experts that works well on TPU.
Adapted from the paper https://arxiv.org/abs/1701.06538
Note: until the algorithm and inferface solidify, we pass in a hyperparameters
dictionary in order not to complicate the interface in mtf_transformer.py .
Once this code moves out of "research", we should pass the hyperparameters
separately.
Hyperparameters used:
hparams.moe_num_experts: number of experts
hparams.moe_hidden_size: size of hidden layer in each expert
hparams.moe_group_size: size of each "group" for gating purposes
hparams.moe_capacity_factor_train: a float
hparams.moe_capacity_factor_eval: a float
hparams.moe_gating: a string
+ all hyperparmeters used by _top_2_gating()
The number of parameters in the gating network is:
(input_dim.size * hparams.num_experts) +
The number of parameters in the experts themselves is:
(hparams.num_experts
* (input_dim.size + output_dim.size)
* hparams.moe_hidden_size)
The input is n-dimensional: [<batch_and_length_dims>, input_dim], consisting
of the representations of all positions in a batch of sequences.
Each position of each sequence is sent to 0-2 experts. The expert
choices and the combination weights are determined by a learned gating
function.
This function returns a small auxiliary loss that should be added to the
training loss of the model. This loss helps to balance expert usage.
Without the loss, it is very likely that a few experts will be trained and
the rest will starve.
Several hacks are necessary to get around current TPU limitations:
- To ensure static shapes, we enforce (by truncation/padding)
that each sequence send the same number of elements to each expert.
It would make more sense to enforce this equality over the entire batch,
but due to our hacked-up gather-by-matmul implementation, we need to divide
the batch into "groups". For each group, the same number of elements
are sent to each expert.
TODO(noam): Factor this code better. We want to be able to substitute
different code for the experts themselves.
Args:
inputs: a mtf.Tensor with shape [<batch_dims...>, length_dim, input_dim]
output_dim: a mtf.Dimension (for Transformer, this is input_dim)
hparams: model hyperparameters
train: a boolean
master_dtype: a tf.dtype
slice_dtype: a tf.dtype
Returns:
outputs: a Tensor with shape [<batch_dims...>, length_dim, output_dim]
loss: a mtf scalar
Raises:
ValueError: on unrecognized hparams.moe_gating
|
[
"Local",
"mixture",
"of",
"experts",
"that",
"works",
"well",
"on",
"TPU",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/moe.py#L30-L156
|
train
|
Local mixture of experts that works well on TPU.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011 + 0o0) + '\060' + chr(336 - 287), 0b1000), ehT0Px3KOsy9(chr(1963 - 1915) + chr(111) + '\066' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b101010 + 0o105) + chr(49) + chr(0b1101 + 0o45) + chr(483 - 433), 50674 - 50666), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110111), 9507 - 9499), ehT0Px3KOsy9('\060' + chr(0b1101110 + 0o1) + chr(0b11110 + 0o27) + chr(50), 14133 - 14125), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(0b11100 + 0o25) + '\063' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101000 + 0o107) + chr(52) + chr(288 - 237), 0b1000), ehT0Px3KOsy9('\060' + chr(0b100 + 0o153) + '\x34' + chr(274 - 224), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11111 + 0o25) + chr(0b110010), 8), ehT0Px3KOsy9('\060' + chr(0b1001101 + 0o42) + chr(0b110001) + chr(0b110111) + chr(0b1100 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(2301 - 2253) + chr(2475 - 2364) + '\061' + '\x36' + '\x33', 0o10), ehT0Px3KOsy9(chr(890 - 842) + '\x6f' + chr(724 - 675) + chr(55) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(1695 - 1647) + '\157' + '\x33' + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b110111) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1293 - 1244) + chr(0b110111) + chr(2091 - 2043), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(0b1 + 0o66) + chr(0b10101 + 0o36), 46855 - 46847), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + chr(0b11001 + 0o32) + chr(0b110001) + chr(0b0 + 0o64), 55832 - 55824), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(1013 - 962) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(0b1000 + 0o51) + '\x35' + chr(2639 - 2586), 0b1000), ehT0Px3KOsy9(chr(788 - 740) + chr(0b1001111 + 0o40) + chr(2045 - 1996) + '\060', 36796 - 36788), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(0b101011 + 0o12) + chr(0b1111 + 0o44), 0b1000), ehT0Px3KOsy9(chr(63 - 15) + '\157' + chr(0b1110 + 0o43) + '\x37' + chr(55), 53628 - 53620), ehT0Px3KOsy9(chr(677 - 629) + chr(0b1101111) + chr(0b11110 + 0o24) + chr(2113 - 2064) + '\x30', 0o10), ehT0Px3KOsy9(chr(879 - 831) + chr(111) + chr(2154 - 2105) + '\x32' + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\065' + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(7708 - 7597) + chr(0b110101) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + '\x36' + chr(49), 34472 - 34464), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + '\060' + chr(946 - 891), 0o10), ehT0Px3KOsy9('\x30' + chr(360 - 249) + '\x32' + chr(52), 0o10), ehT0Px3KOsy9(chr(2239 - 2191) + chr(5028 - 4917) + chr(50) + chr(1679 - 1627) + '\x37', 62853 - 62845), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + '\x30' + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(0b1101 + 0o51) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11011 + 0o124) + chr(0b110110) + '\060', 39784 - 39776), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(48), 5113 - 5105), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10001 + 0o40) + chr(52) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1540 - 1491) + '\067' + '\x34', 8), ehT0Px3KOsy9(chr(48) + chr(11447 - 11336) + chr(0b110011) + chr(396 - 347) + chr(642 - 593), 517 - 509), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(0b101000 + 0o11) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(295 - 247) + chr(0b1011101 + 0o22) + '\061' + chr(49) + chr(51), 0b1000), ehT0Px3KOsy9(chr(941 - 893) + chr(8999 - 8888) + '\x31' + chr(2093 - 2040) + '\x35', 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + '\x35' + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xef'), chr(8858 - 8758) + '\x65' + chr(99) + chr(9929 - 9818) + '\x64' + chr(6211 - 6110))(chr(117) + chr(9764 - 9648) + chr(0b1100110) + '\055' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def yzwVG08s1lxJ(vXoupepMtCXU, ihuwPgoinqSc, n4ljua2gi1Pr, e80gRioCjdat, Hb0eMxC8Xlgf=xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3S>hK.\x12\x14'), '\x64' + chr(0b101110 + 0o67) + '\143' + '\x6f' + chr(2268 - 2168) + chr(0b1100101))('\x75' + '\x74' + '\146' + chr(45) + '\x38')), Jj0MAI8Iy0Sp=xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7Y=f^i\x11'), chr(0b1100100) + chr(2381 - 2280) + '\x63' + '\157' + '\x64' + '\x65')(chr(384 - 267) + chr(0b1011101 + 0o27) + chr(1411 - 1309) + chr(0b101001 + 0o4) + chr(3016 - 2960)))):
qiKRcOiH8O3J = vXoupepMtCXU
O0Pt4_FWG7IN = vXoupepMtCXU.shape.dims[-ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(49), 0b1000)]
CQFa_cRh0Tor = n08eHRtHxoln.Dimension(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4M"bX.|JK\x18\x17\x1cq'), chr(0b1001001 + 0o33) + chr(101) + chr(9686 - 9587) + chr(4163 - 4052) + '\x64' + chr(0b1100000 + 0o5))(chr(11486 - 11369) + chr(116) + '\x66' + chr(0b0 + 0o55) + '\x38'), n4ljua2gi1Pr.IHhsiEth2fU8)
TyeOxylsJObR = n08eHRtHxoln.Dimension(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4M"bX.P'), chr(100) + '\145' + chr(99) + '\x6f' + '\x64' + chr(0b111001 + 0o54))(chr(117) + chr(2320 - 2204) + '\146' + '\055' + '\070'), n4ljua2gi1Pr.r99iQzD4Y8i3)
OUeQOQWCORjl = n08eHRtHxoln.Dimension(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6G=rZ'), chr(100) + '\x65' + '\x63' + chr(0b1100110 + 0o11) + '\144' + '\145')('\x75' + chr(116) + '\146' + chr(45) + chr(56)), n4ljua2gi1Pr.moe_group_size)
EpjjOe8vuYsi = n08eHRtHxoln.Dimension(qiKRcOiH8O3J.shape[ehT0Px3KOsy9(chr(0b110000) + '\157' + '\060', ord("\x08"))].AIvJRzLdDfgF, qiKRcOiH8O3J.shape.NLcc3BCJnQka // (OUeQOQWCORjl.NLcc3BCJnQka * O0Pt4_FWG7IN.NLcc3BCJnQka))
vXoupepMtCXU = n08eHRtHxoln.reshape(vXoupepMtCXU, [EpjjOe8vuYsi, OUeQOQWCORjl, O0Pt4_FWG7IN])
BbLkTuMCNnvG = n4ljua2gi1Pr.moe_capacity_factor_train if e80gRioCjdat else n4ljua2gi1Pr.moe_capacity_factor_eval
B2uy5TvYnLkE = Dx22bkKPdt5d(OUeQOQWCORjl.NLcc3BCJnQka, ehT0Px3KOsy9(OUeQOQWCORjl.NLcc3BCJnQka * BbLkTuMCNnvG / TyeOxylsJObR.NLcc3BCJnQka))
xDiQQUAtqTh1 = n08eHRtHxoln.Dimension(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4M"bX.|AC\x0c\x12\x1av\xc8\x01'), chr(0b1010001 + 0o23) + chr(101) + '\x63' + chr(111) + chr(100) + chr(6931 - 6830))(chr(117) + '\x74' + chr(0b1100110) + chr(45) + chr(0b111000)), B2uy5TvYnLkE)
SLtLibob50Df = n08eHRtHxoln.Dimension(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4M"bX.|WL\x0f\x03\x15v\xc8'), chr(0b1000000 + 0o44) + chr(0b1100101) + chr(99) + '\157' + chr(0b110110 + 0o56) + chr(101))(chr(0b111 + 0o156) + chr(0b111101 + 0o67) + chr(0b1100010 + 0o4) + chr(45) + chr(2832 - 2776)), TyeOxylsJObR.NLcc3BCJnQka)
HcaPMvAtyC2v = n08eHRtHxoln.Dimension(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3T&dB\x05VLQ\x0c\x1f\x10k'), chr(0b1100100) + chr(0b10 + 0o143) + '\x63' + chr(0b110111 + 0o70) + '\144' + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(102) + chr(0b100110 + 0o7) + '\x38'), EpjjOe8vuYsi.NLcc3BCJnQka)
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xacZ7XM;WKL\x1b'), chr(0b1100011 + 0o1) + chr(0b11 + 0o142) + '\x63' + chr(2827 - 2716) + chr(4853 - 4753) + chr(1284 - 1183))('\x75' + chr(116) + chr(102) + chr(0b11011 + 0o22) + '\x38')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5Z"X\x18'), '\x64' + chr(101) + '\x63' + '\x6f' + '\144' + '\145')(chr(0b1110101) + chr(12805 - 12689) + chr(0b10010 + 0o124) + chr(1511 - 1466) + chr(56)):
(HILSWWnPNFeM, un7dXWByYF6Z, YpO0BcZ6fMsf) = gjZ36AOLtseo(inputs=vXoupepMtCXU, outer_expert_dims=None, experts_dim=SLtLibob50Df, expert_capacity_dim=xDiQQUAtqTh1, hparams=n4ljua2gi1Pr, train=e80gRioCjdat)
else:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4[9iE-M\x02J\x0c\x12\x0b~\xd1\x0b\x15\xa1\xb5\x08W\x8c\x1e\xfc=\xc2J\x0c\xe2g'), chr(100) + chr(0b111000 + 0o55) + chr(0b11011 + 0o110) + '\x6f' + chr(7539 - 7439) + chr(101))(chr(0b101110 + 0o107) + chr(0b1110100) + '\x66' + chr(1390 - 1345) + chr(56)) % xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xacZ7XM;WKL\x1b'), chr(0b11 + 0o141) + chr(3180 - 3079) + chr(99) + chr(0b1101111) + '\x64' + chr(101))(chr(6962 - 6845) + chr(0b1110100) + chr(102) + chr(0b101101) + '\070')))
C9doWr_CSLsB = n08eHRtHxoln.einsum([vXoupepMtCXU, HILSWWnPNFeM], n08eHRtHxoln.Shape([SLtLibob50Df, EpjjOe8vuYsi, xDiQQUAtqTh1, O0Pt4_FWG7IN]))
C9doWr_CSLsB = n08eHRtHxoln.reshape(C9doWr_CSLsB, n08eHRtHxoln.Shape([TyeOxylsJObR, HcaPMvAtyC2v, xDiQQUAtqTh1, O0Pt4_FWG7IN]))
sz4HVsFVF8nL = n08eHRtHxoln.layers.dense(C9doWr_CSLsB, CQFa_cRh0Tor, expert_dims=[TyeOxylsJObR], activation=n08eHRtHxoln.relu, use_bias=ehT0Px3KOsy9(chr(2094 - 2046) + chr(111) + '\x30', 8), master_dtype=Hb0eMxC8Xlgf, slice_dtype=Jj0MAI8Iy0Sp, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\x05'), chr(0b1100001 + 0o3) + chr(0b111001 + 0o54) + '\x63' + chr(4728 - 4617) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(116) + chr(2589 - 2487) + chr(168 - 123) + chr(0b101100 + 0o14)))
SsSb4XXTss5e = n08eHRtHxoln.layers.dense(sz4HVsFVF8nL, ihuwPgoinqSc, expert_dims=[TyeOxylsJObR], use_bias=ehT0Px3KOsy9(chr(1026 - 978) + '\x6f' + chr(0b110000), 8), master_dtype=Hb0eMxC8Xlgf, slice_dtype=Jj0MAI8Iy0Sp, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\x04'), '\144' + chr(0b1010110 + 0o17) + '\x63' + chr(1510 - 1399) + chr(0b1100100) + '\x65')(chr(117) + chr(116) + chr(0b1100110) + '\055' + chr(2658 - 2602)))
SsSb4XXTss5e = n08eHRtHxoln.reshape(SsSb4XXTss5e, n08eHRtHxoln.Shape([SLtLibob50Df, EpjjOe8vuYsi, xDiQQUAtqTh1, O0Pt4_FWG7IN]))
e1jVqMSBZ01Y = n08eHRtHxoln.einsum([SsSb4XXTss5e, un7dXWByYF6Z], n08eHRtHxoln.Shape([EpjjOe8vuYsi, OUeQOQWCORjl, ihuwPgoinqSc]))
e1jVqMSBZ01Y = n08eHRtHxoln.reshape(e1jVqMSBZ01Y, qiKRcOiH8O3J.shape.dims[:-ehT0Px3KOsy9('\x30' + chr(111) + chr(546 - 497), 8)] + [ihuwPgoinqSc])
return (e1jVqMSBZ01Y, YpO0BcZ6fMsf * xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x97x!]p(Ic}.=\r'), chr(0b110100 + 0o60) + chr(2215 - 2114) + chr(0b10001 + 0o122) + '\x6f' + chr(0b101111 + 0o65) + chr(0b1100101))(chr(0b1110101) + '\164' + '\x66' + chr(840 - 795) + '\070')))
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/moe.py
|
transformer_moe_layer_v2
|
def transformer_moe_layer_v2(inputs, output_dim, hparams, train,
master_dtype=tf.bfloat16, slice_dtype=tf.float32):
"""2-level mixture of experts.
Adapted from the paper https://arxiv.org/abs/1701.06538
Note: until the algorithm and inferface solidify, we pass in a hyperparameters
dictionary in order not to complicate the interface in mtf_transformer.py .
Once this code moves out of "research", we should pass the hyperparameters
separately.
Hyperparameters used:
hparams.moe_num_experts: number of experts
hparams.moe_hidden_size: size of hidden layer in each expert
hparams.moe_group_size: size of each "group" for gating purposes
hparams.moe_capacity_factor_train: a float
hparams.moe_capacity_factor_eval: a float
hparams.moe_capacity_factor_second_level: a float
hparams.moe_gating: a string
+ all hyperparmeters used by _top_2_gating()
One set of params for experts in first level and different of hparams
per expert in the second level.
The number of parameters in the gating network is:
(input_dim.size * (hparams.num_experts) +
(moe_hidden_size * hparams.num_experts) * hparams.num_experts
The number of parameters in the experts themselves is:
(hparams.num_experts
* (input_dim.size + output_dim.size)
* hparams.moe_hidden_size)
The input is n-dimensional: [<batch_and_length_dims>, input_dim], consisting
of the representations of all positions in a batch of sequences.
Each position of each sequence is sent to 0-3 experts. The expert
choices and the combination weights are determined by a learned gating
function.
This function returns a small auxiliary loss that should be added to the
training loss of the model. This loss helps to balance expert usage.
Without the loss, it is very likely that a few experts will be trained and
the rest will starve.
Several hacks are necessary to get around current TPU limitations:
- To ensure static shapes, we enforce (by truncation/padding)
that each sequence send the same number of elements to each expert.
It would make more sense to enforce this equality over the entire batch,
but due to our hacked-up gather-by-matmul implementation, we need to divide
the batch into "groups". For each group, the same number of elements
are sent to each expert.
TODO(noam): Factor this code better. We want to be able to substitute
different code for the experts themselves.
Dimensions cheat sheet:
a, b: batch size
l: original sequence length
m: input depth
n: output depth
g, h: number of groups
s, t: group size
x, y: number of experts
c, d: expert capacity
input: [a0, b1, l, m]
input: [a0, g1, s, m]
dispatch_tensor_x: [a0, g1, s, x, c]
expert_input: [a0, g1, x, c, m]
alltoall: [a0, g, x1, c, m]
alltoall: [a0, g, x1, c, m]
transpose: [x1, a0, g, c, m]
reshape: [x1, h0, s, m]
assignment2: [x1, h0, t, y, d]
expert_input2: [x1, h0, y, d, m]
alltoall: [x1, h, y0, d, m]
...
reverse of that
gating params 0: [m, x]
gating params 1: [x1, m, y]
expert params:
[x1, y0, m, hidden]
[x1, y0, hidden, n]
Args:
inputs: a mtf.Tensor with shape [a, b, l, m]
output_dim: a mtf.Dimension (for Transformer, this is input_dim)
hparams: model hyperparameters
train: a boolean
master_dtype: a tf.dtype
slice_dtype: a tf.dtype
Returns:
outputs: a Tensor with shape [a, b, l, n]
loss: a mtf scalar
Raises:
ValueError: on unrecognized hparams.moe_gating
"""
insert_outer_batch_dim = (len(inputs.shape.dims) == 3)
if insert_outer_batch_dim:
inputs = mtf.reshape(
inputs, [mtf.Dimension("outer_batch", 1)] + inputs.shape.dims)
assert len(hparams.moe_num_experts) == 2
a0, b1, l, m = inputs.shape.dims
hidden_dim = mtf.Dimension("expert_hidden", hparams.moe_hidden_size)
x1 = mtf.Dimension("expert_x", hparams.moe_num_experts[0])
y0 = mtf.Dimension("expert_y", hparams.moe_num_experts[1])
x = mtf.Dimension("expert_x_unsplit", hparams.moe_num_experts[0])
y = mtf.Dimension("expert_y_unsplit", hparams.moe_num_experts[1])
n = output_dim
# We "cheat" here and look at the mesh shape and layout. This is to ensure
# that the number of groups (g.size) is a multiple of the mesh dimension
# over which those groups are split.
num_groups, group_size = _split_into_groups(
b1.size * l.size, hparams.moe_group_size,
mtf.tensor_dim_to_mesh_dim_size(hparams.layout, hparams.mesh_shape, b1))
g1 = mtf.Dimension(b1.name, num_groups)
g = mtf.Dimension(b1.name + "_unsplit", g1.size)
s = mtf.Dimension("group_size_x", group_size)
# Each sequence sends (at most?) expert_capacity positions to each expert.
# Static expert_capacity dimension is needed for expert batch sizes
capacity_factor = (
hparams.moe_capacity_factor_train if train else
hparams.moe_capacity_factor_eval)
expert_capacity = min(s.size, int((s.size * capacity_factor) / x.size))
expert_capacity = max(expert_capacity, 4)
c = mtf.Dimension("expert_capacity_x", expert_capacity)
# We "cheat" here and look at the mesh shape and layout. This is to ensure
# that the number of groups (h.size) is a multiple of the mesh dimension
# over which those groups are split.
num_groups, group_size = _split_into_groups(
a0.size * g.size * c.size,
hparams.moe_group_size,
mtf.tensor_dim_to_mesh_dim_size(hparams.layout, hparams.mesh_shape, a0))
t = mtf.Dimension("group_size_y", group_size)
h0 = mtf.Dimension(a0.name, num_groups)
h = mtf.Dimension(a0.name + "_unsplit", h0.size)
expert_capacity = min(
t.size,
int((t.size * hparams.moe_capacity_factor_second_level) / y.size))
expert_capacity = max(expert_capacity, 4)
d = mtf.Dimension("expert_capacity_y", expert_capacity)
# First level of expert routing
# Reshape the inner batch size to a multiple of group_dim g1 and
# group_size_dim s.
inputs = mtf.reshape(inputs, [a0, g1, s, m])
# Get the assignments for the first level.
# dispatch_tensor_x has shape [a0, g1, s, x, c]
if hparams.moe_gating == "top_2":
dispatch_tensor_x, combine_tensor_x, loss_outer = _top_2_gating(
inputs=inputs,
outer_expert_dims=None,
experts_dim=x,
expert_capacity_dim=c,
hparams=hparams,
train=train)
else:
raise ValueError("unknown hparams.moe_gating=%s" % hparams.moe_gating)
# Now create expert_inputs based on the assignments.
# put num_experts dimension first to make split easier in alltoall
expert_inputs_x = mtf.einsum([inputs, dispatch_tensor_x], [x, a0, g1, c, m])
# we construct an "importance" Tensor for the inputs to the second-level
# gating. The importance of an input is 1.0 if it represents the
# first-choice expert-group and 0.5 if it represents the second-choice expert
# group. This is used by the second-level gating.
importance = mtf.reduce_sum(combine_tensor_x, output_shape=[x, a0, g1, c])
importance = 0.5 * (
mtf.to_float(mtf.greater(importance, 0.5)) +
mtf.to_float(mtf.greater(importance, 0.0)))
# First level, all to all. Here we change the split dimension from g1 to x1.
expert_inputs_x = mtf.reshape(expert_inputs_x, mtf.Shape(
[x1, a0, g, c, m]))
importance = mtf.reshape(importance, [x1, a0, g, c])
# Second level of expert routing
# Reshape the expert_inputs outer batch dim to be a multiple of group_dim h0
# and group_size_dim t.
inputs_y = mtf.reshape(expert_inputs_x, [x1, h0, t, m])
importance = mtf.reshape(importance, [x1, h0, t])
# Get the assignments for the second level.
# dispatch_tensor_y has shape [x1, h0, t, y, d]
if hparams.moe_gating == "top_2":
dispatch_tensor_y, combine_tensor_y, loss_inner = _top_2_gating(
inputs=inputs_y,
outer_expert_dims=[x1],
experts_dim=y,
expert_capacity_dim=d,
hparams=hparams,
train=train,
importance=importance)
else:
raise ValueError("unknown hparams.moe_gating=%s" % hparams.moe_gating)
# Now create expert_inputs based on the assignments.
# put num_experts dimension first to make split easier in alltoall
expert_inputs_y = mtf.einsum([inputs_y, dispatch_tensor_y], [y, x1, h0, d, m])
# Second level, all to all. Here we change the split dimension from h0 to y0.
expert_inputs_y = mtf.reshape(expert_inputs_y, mtf.Shape(
[y0, x1, h, d, m]))
hidden_output = mtf.layers.dense(
expert_inputs_y, hidden_dim, expert_dims=[y0, x1],
activation=mtf.relu, use_bias=False, master_dtype=master_dtype,
slice_dtype=slice_dtype, name="expert0")
expert_output = mtf.layers.dense(
hidden_output, output_dim, expert_dims=[y0, x1],
use_bias=False, master_dtype=master_dtype, slice_dtype=slice_dtype,
name="expert1")
# NOW COMBINE EXPERT OUTPUTS (reversing everything we have done)
# expert_output has shape [y0, x1, h, d, n]
# alltoall
expert_output = mtf.reshape(expert_output, mtf.Shape(
[y, x1, h0, d, n]))
# combine results from inner level
output_y = mtf.einsum([expert_output, combine_tensor_y], [x1, h0, t, n])
# Reshape the combined tensor from inner level to now contain outer_batch_dim
# a0 and group_dim g
output = mtf.reshape(output_y, [x1, a0, g, c, n])
# alltoall from expert_dim x to group_dim g1
expert_output_x = mtf.reshape(output, mtf.Shape([x, a0, g1, c, n]))
# combine results from outer level
output_x = mtf.einsum([expert_output_x, combine_tensor_x], [a0, g1, s, n])
# Reshape the combined tensor to now contain inner_batch_dim
# b1 and the original sequence length
output = mtf.reshape(output_x, [a0, b1, l, n])
if insert_outer_batch_dim:
output = mtf.reshape(output, [b1, l, n])
return output, (loss_outer + loss_inner) * hparams.moe_loss_coef
|
python
|
def transformer_moe_layer_v2(inputs, output_dim, hparams, train,
master_dtype=tf.bfloat16, slice_dtype=tf.float32):
"""2-level mixture of experts.
Adapted from the paper https://arxiv.org/abs/1701.06538
Note: until the algorithm and inferface solidify, we pass in a hyperparameters
dictionary in order not to complicate the interface in mtf_transformer.py .
Once this code moves out of "research", we should pass the hyperparameters
separately.
Hyperparameters used:
hparams.moe_num_experts: number of experts
hparams.moe_hidden_size: size of hidden layer in each expert
hparams.moe_group_size: size of each "group" for gating purposes
hparams.moe_capacity_factor_train: a float
hparams.moe_capacity_factor_eval: a float
hparams.moe_capacity_factor_second_level: a float
hparams.moe_gating: a string
+ all hyperparmeters used by _top_2_gating()
One set of params for experts in first level and different of hparams
per expert in the second level.
The number of parameters in the gating network is:
(input_dim.size * (hparams.num_experts) +
(moe_hidden_size * hparams.num_experts) * hparams.num_experts
The number of parameters in the experts themselves is:
(hparams.num_experts
* (input_dim.size + output_dim.size)
* hparams.moe_hidden_size)
The input is n-dimensional: [<batch_and_length_dims>, input_dim], consisting
of the representations of all positions in a batch of sequences.
Each position of each sequence is sent to 0-3 experts. The expert
choices and the combination weights are determined by a learned gating
function.
This function returns a small auxiliary loss that should be added to the
training loss of the model. This loss helps to balance expert usage.
Without the loss, it is very likely that a few experts will be trained and
the rest will starve.
Several hacks are necessary to get around current TPU limitations:
- To ensure static shapes, we enforce (by truncation/padding)
that each sequence send the same number of elements to each expert.
It would make more sense to enforce this equality over the entire batch,
but due to our hacked-up gather-by-matmul implementation, we need to divide
the batch into "groups". For each group, the same number of elements
are sent to each expert.
TODO(noam): Factor this code better. We want to be able to substitute
different code for the experts themselves.
Dimensions cheat sheet:
a, b: batch size
l: original sequence length
m: input depth
n: output depth
g, h: number of groups
s, t: group size
x, y: number of experts
c, d: expert capacity
input: [a0, b1, l, m]
input: [a0, g1, s, m]
dispatch_tensor_x: [a0, g1, s, x, c]
expert_input: [a0, g1, x, c, m]
alltoall: [a0, g, x1, c, m]
alltoall: [a0, g, x1, c, m]
transpose: [x1, a0, g, c, m]
reshape: [x1, h0, s, m]
assignment2: [x1, h0, t, y, d]
expert_input2: [x1, h0, y, d, m]
alltoall: [x1, h, y0, d, m]
...
reverse of that
gating params 0: [m, x]
gating params 1: [x1, m, y]
expert params:
[x1, y0, m, hidden]
[x1, y0, hidden, n]
Args:
inputs: a mtf.Tensor with shape [a, b, l, m]
output_dim: a mtf.Dimension (for Transformer, this is input_dim)
hparams: model hyperparameters
train: a boolean
master_dtype: a tf.dtype
slice_dtype: a tf.dtype
Returns:
outputs: a Tensor with shape [a, b, l, n]
loss: a mtf scalar
Raises:
ValueError: on unrecognized hparams.moe_gating
"""
insert_outer_batch_dim = (len(inputs.shape.dims) == 3)
if insert_outer_batch_dim:
inputs = mtf.reshape(
inputs, [mtf.Dimension("outer_batch", 1)] + inputs.shape.dims)
assert len(hparams.moe_num_experts) == 2
a0, b1, l, m = inputs.shape.dims
hidden_dim = mtf.Dimension("expert_hidden", hparams.moe_hidden_size)
x1 = mtf.Dimension("expert_x", hparams.moe_num_experts[0])
y0 = mtf.Dimension("expert_y", hparams.moe_num_experts[1])
x = mtf.Dimension("expert_x_unsplit", hparams.moe_num_experts[0])
y = mtf.Dimension("expert_y_unsplit", hparams.moe_num_experts[1])
n = output_dim
# We "cheat" here and look at the mesh shape and layout. This is to ensure
# that the number of groups (g.size) is a multiple of the mesh dimension
# over which those groups are split.
num_groups, group_size = _split_into_groups(
b1.size * l.size, hparams.moe_group_size,
mtf.tensor_dim_to_mesh_dim_size(hparams.layout, hparams.mesh_shape, b1))
g1 = mtf.Dimension(b1.name, num_groups)
g = mtf.Dimension(b1.name + "_unsplit", g1.size)
s = mtf.Dimension("group_size_x", group_size)
# Each sequence sends (at most?) expert_capacity positions to each expert.
# Static expert_capacity dimension is needed for expert batch sizes
capacity_factor = (
hparams.moe_capacity_factor_train if train else
hparams.moe_capacity_factor_eval)
expert_capacity = min(s.size, int((s.size * capacity_factor) / x.size))
expert_capacity = max(expert_capacity, 4)
c = mtf.Dimension("expert_capacity_x", expert_capacity)
# We "cheat" here and look at the mesh shape and layout. This is to ensure
# that the number of groups (h.size) is a multiple of the mesh dimension
# over which those groups are split.
num_groups, group_size = _split_into_groups(
a0.size * g.size * c.size,
hparams.moe_group_size,
mtf.tensor_dim_to_mesh_dim_size(hparams.layout, hparams.mesh_shape, a0))
t = mtf.Dimension("group_size_y", group_size)
h0 = mtf.Dimension(a0.name, num_groups)
h = mtf.Dimension(a0.name + "_unsplit", h0.size)
expert_capacity = min(
t.size,
int((t.size * hparams.moe_capacity_factor_second_level) / y.size))
expert_capacity = max(expert_capacity, 4)
d = mtf.Dimension("expert_capacity_y", expert_capacity)
# First level of expert routing
# Reshape the inner batch size to a multiple of group_dim g1 and
# group_size_dim s.
inputs = mtf.reshape(inputs, [a0, g1, s, m])
# Get the assignments for the first level.
# dispatch_tensor_x has shape [a0, g1, s, x, c]
if hparams.moe_gating == "top_2":
dispatch_tensor_x, combine_tensor_x, loss_outer = _top_2_gating(
inputs=inputs,
outer_expert_dims=None,
experts_dim=x,
expert_capacity_dim=c,
hparams=hparams,
train=train)
else:
raise ValueError("unknown hparams.moe_gating=%s" % hparams.moe_gating)
# Now create expert_inputs based on the assignments.
# put num_experts dimension first to make split easier in alltoall
expert_inputs_x = mtf.einsum([inputs, dispatch_tensor_x], [x, a0, g1, c, m])
# we construct an "importance" Tensor for the inputs to the second-level
# gating. The importance of an input is 1.0 if it represents the
# first-choice expert-group and 0.5 if it represents the second-choice expert
# group. This is used by the second-level gating.
importance = mtf.reduce_sum(combine_tensor_x, output_shape=[x, a0, g1, c])
importance = 0.5 * (
mtf.to_float(mtf.greater(importance, 0.5)) +
mtf.to_float(mtf.greater(importance, 0.0)))
# First level, all to all. Here we change the split dimension from g1 to x1.
expert_inputs_x = mtf.reshape(expert_inputs_x, mtf.Shape(
[x1, a0, g, c, m]))
importance = mtf.reshape(importance, [x1, a0, g, c])
# Second level of expert routing
# Reshape the expert_inputs outer batch dim to be a multiple of group_dim h0
# and group_size_dim t.
inputs_y = mtf.reshape(expert_inputs_x, [x1, h0, t, m])
importance = mtf.reshape(importance, [x1, h0, t])
# Get the assignments for the second level.
# dispatch_tensor_y has shape [x1, h0, t, y, d]
if hparams.moe_gating == "top_2":
dispatch_tensor_y, combine_tensor_y, loss_inner = _top_2_gating(
inputs=inputs_y,
outer_expert_dims=[x1],
experts_dim=y,
expert_capacity_dim=d,
hparams=hparams,
train=train,
importance=importance)
else:
raise ValueError("unknown hparams.moe_gating=%s" % hparams.moe_gating)
# Now create expert_inputs based on the assignments.
# put num_experts dimension first to make split easier in alltoall
expert_inputs_y = mtf.einsum([inputs_y, dispatch_tensor_y], [y, x1, h0, d, m])
# Second level, all to all. Here we change the split dimension from h0 to y0.
expert_inputs_y = mtf.reshape(expert_inputs_y, mtf.Shape(
[y0, x1, h, d, m]))
hidden_output = mtf.layers.dense(
expert_inputs_y, hidden_dim, expert_dims=[y0, x1],
activation=mtf.relu, use_bias=False, master_dtype=master_dtype,
slice_dtype=slice_dtype, name="expert0")
expert_output = mtf.layers.dense(
hidden_output, output_dim, expert_dims=[y0, x1],
use_bias=False, master_dtype=master_dtype, slice_dtype=slice_dtype,
name="expert1")
# NOW COMBINE EXPERT OUTPUTS (reversing everything we have done)
# expert_output has shape [y0, x1, h, d, n]
# alltoall
expert_output = mtf.reshape(expert_output, mtf.Shape(
[y, x1, h0, d, n]))
# combine results from inner level
output_y = mtf.einsum([expert_output, combine_tensor_y], [x1, h0, t, n])
# Reshape the combined tensor from inner level to now contain outer_batch_dim
# a0 and group_dim g
output = mtf.reshape(output_y, [x1, a0, g, c, n])
# alltoall from expert_dim x to group_dim g1
expert_output_x = mtf.reshape(output, mtf.Shape([x, a0, g1, c, n]))
# combine results from outer level
output_x = mtf.einsum([expert_output_x, combine_tensor_x], [a0, g1, s, n])
# Reshape the combined tensor to now contain inner_batch_dim
# b1 and the original sequence length
output = mtf.reshape(output_x, [a0, b1, l, n])
if insert_outer_batch_dim:
output = mtf.reshape(output, [b1, l, n])
return output, (loss_outer + loss_inner) * hparams.moe_loss_coef
|
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2-level mixture of experts.
Adapted from the paper https://arxiv.org/abs/1701.06538
Note: until the algorithm and inferface solidify, we pass in a hyperparameters
dictionary in order not to complicate the interface in mtf_transformer.py .
Once this code moves out of "research", we should pass the hyperparameters
separately.
Hyperparameters used:
hparams.moe_num_experts: number of experts
hparams.moe_hidden_size: size of hidden layer in each expert
hparams.moe_group_size: size of each "group" for gating purposes
hparams.moe_capacity_factor_train: a float
hparams.moe_capacity_factor_eval: a float
hparams.moe_capacity_factor_second_level: a float
hparams.moe_gating: a string
+ all hyperparmeters used by _top_2_gating()
One set of params for experts in first level and different of hparams
per expert in the second level.
The number of parameters in the gating network is:
(input_dim.size * (hparams.num_experts) +
(moe_hidden_size * hparams.num_experts) * hparams.num_experts
The number of parameters in the experts themselves is:
(hparams.num_experts
* (input_dim.size + output_dim.size)
* hparams.moe_hidden_size)
The input is n-dimensional: [<batch_and_length_dims>, input_dim], consisting
of the representations of all positions in a batch of sequences.
Each position of each sequence is sent to 0-3 experts. The expert
choices and the combination weights are determined by a learned gating
function.
This function returns a small auxiliary loss that should be added to the
training loss of the model. This loss helps to balance expert usage.
Without the loss, it is very likely that a few experts will be trained and
the rest will starve.
Several hacks are necessary to get around current TPU limitations:
- To ensure static shapes, we enforce (by truncation/padding)
that each sequence send the same number of elements to each expert.
It would make more sense to enforce this equality over the entire batch,
but due to our hacked-up gather-by-matmul implementation, we need to divide
the batch into "groups". For each group, the same number of elements
are sent to each expert.
TODO(noam): Factor this code better. We want to be able to substitute
different code for the experts themselves.
Dimensions cheat sheet:
a, b: batch size
l: original sequence length
m: input depth
n: output depth
g, h: number of groups
s, t: group size
x, y: number of experts
c, d: expert capacity
input: [a0, b1, l, m]
input: [a0, g1, s, m]
dispatch_tensor_x: [a0, g1, s, x, c]
expert_input: [a0, g1, x, c, m]
alltoall: [a0, g, x1, c, m]
alltoall: [a0, g, x1, c, m]
transpose: [x1, a0, g, c, m]
reshape: [x1, h0, s, m]
assignment2: [x1, h0, t, y, d]
expert_input2: [x1, h0, y, d, m]
alltoall: [x1, h, y0, d, m]
...
reverse of that
gating params 0: [m, x]
gating params 1: [x1, m, y]
expert params:
[x1, y0, m, hidden]
[x1, y0, hidden, n]
Args:
inputs: a mtf.Tensor with shape [a, b, l, m]
output_dim: a mtf.Dimension (for Transformer, this is input_dim)
hparams: model hyperparameters
train: a boolean
master_dtype: a tf.dtype
slice_dtype: a tf.dtype
Returns:
outputs: a Tensor with shape [a, b, l, n]
loss: a mtf scalar
Raises:
ValueError: on unrecognized hparams.moe_gating
|
[
"2",
"-",
"level",
"mixture",
"of",
"experts",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/moe.py#L159-L411
|
train
|
2 - level mixture of experts.
|
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(1209 - 1161) + '\x6f' + chr(1992 - 1941) + chr(0b110011) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(0b1100001 + 0o16) + chr(2261 - 2212) + chr(0b110101) + chr(0b101110 + 0o6), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + '\x33' + '\066' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(50) + chr(0b1001 + 0o55) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(2408 - 2358) + '\x37' + '\064', 6981 - 6973), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(2420 - 2309) + chr(0b110001 + 0o1) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b110011) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\064' + '\066', 54982 - 54974), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(48) + '\x36', 26621 - 26613), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b11001 + 0o36) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1011111 + 0o20) + chr(1387 - 1338) + chr(0b100110 + 0o16) + '\064', 0b1000), ehT0Px3KOsy9(chr(201 - 153) + '\x6f' + chr(2256 - 2205) + '\065' + '\x37', 29380 - 29372), ehT0Px3KOsy9(chr(48) + chr(7943 - 7832) + '\063' + '\x37' + chr(0b101011 + 0o13), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2169 - 2058) + chr(2537 - 2486) + '\066' + chr(0b101000 + 0o11), 26079 - 26071), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11100 + 0o25) + chr(0b11001 + 0o32) + '\x30', 2029 - 2021), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(746 - 693) + '\063', 46723 - 46715), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(55) + chr(0b101110 + 0o7), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(52) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1701 - 1653) + chr(111) + chr(0b110011) + chr(55) + chr(0b110111), 39991 - 39983), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100111 + 0o12) + '\064' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(53) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(950 - 902) + chr(0b1101111) + chr(0b100000 + 0o21) + chr(48) + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1230 - 1179) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(0b100 + 0o56) + '\060' + chr(0b110100), 27124 - 27116), ehT0Px3KOsy9(chr(1772 - 1724) + chr(0b1101111) + chr(0b110010) + chr(999 - 949) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10001 + 0o41) + chr(0b110000) + '\064', 8), ehT0Px3KOsy9('\x30' + chr(11504 - 11393) + chr(0b111 + 0o54) + '\x35' + chr(2619 - 2566), 57457 - 57449), ehT0Px3KOsy9(chr(2124 - 2076) + chr(11626 - 11515) + '\061' + chr(0b10101 + 0o41) + chr(54), 30700 - 30692), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(0b100101 + 0o14) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(0b101101 + 0o5) + '\066' + chr(51), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b100010 + 0o24) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(7068 - 6957) + chr(49) + '\x37' + chr(51), 44630 - 44622), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(0b110101) + '\x33', 8), ehT0Px3KOsy9('\060' + chr(0b1100100 + 0o13) + chr(0b0 + 0o66) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(0b100011 + 0o16) + chr(448 - 400) + '\067', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1110 + 0o141) + chr(0b110010) + chr(0b10011 + 0o36) + chr(0b101101 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1705 - 1656) + '\064' + chr(0b110001), 55836 - 55828), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(54) + chr(461 - 407), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b110101 + 0o72) + chr(122 - 72) + '\x35', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1629 - 1581) + chr(0b1101101 + 0o2) + chr(53) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2'), '\144' + chr(3186 - 3085) + chr(7195 - 7096) + chr(0b1101111) + chr(5013 - 4913) + '\x65')(chr(117) + chr(0b1110100) + chr(6175 - 6073) + chr(45) + chr(260 - 204)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ODkOEi3A9Dx2(vXoupepMtCXU, ihuwPgoinqSc, n4ljua2gi1Pr, e80gRioCjdat, Hb0eMxC8Xlgf=xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\n\x98\xdd\xddcn\x10'), chr(0b1100100) + chr(791 - 690) + '\143' + '\x6f' + chr(3367 - 3267) + chr(3250 - 3149))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(1425 - 1380) + '\x38')), Jj0MAI8Iy0Sp=xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\x00\x9b\xd3\xc8$m'), chr(9356 - 9256) + chr(101) + '\143' + chr(6824 - 6713) + chr(100) + '\x65')('\x75' + '\x74' + chr(0b1100110) + '\055' + chr(1238 - 1182)))):
aJptED3Gb1T7 = c2A0yzQpDQB3(vXoupepMtCXU.shape.dims) == ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101010 + 0o11), 0o10)
if aJptED3Gb1T7:
vXoupepMtCXU = n08eHRtHxoln.reshape(vXoupepMtCXU, [n08eHRtHxoln.Dimension(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\x19\x80\xd7\xceH=G2\x1e\x0c'), chr(0b111001 + 0o53) + '\145' + chr(99) + chr(111) + chr(0b1100100) + chr(0b1100101))('\x75' + '\164' + chr(102) + chr(588 - 543) + chr(56)), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(11845 - 11734) + chr(0b110001), 0b1000))] + vXoupepMtCXU.shape.dims)
assert c2A0yzQpDQB3(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaeU\xcd\xdb\xedm\x1b\x12\x1fE\r\xdc'), chr(5594 - 5494) + chr(0b1001011 + 0o32) + chr(99) + '\157' + '\144' + '\x65')(chr(117) + chr(0b1110 + 0o146) + '\146' + chr(0b101101) + '\070'))) == ehT0Px3KOsy9(chr(48) + chr(126 - 15) + chr(0b110010), ord("\x08"))
(fPB7UjEOcUgF, F19Ckzmt4hL1, aLoH_Mt0dzwO, r8ufID9JCHnI) = vXoupepMtCXU.shape.dims
CQFa_cRh0Tor = n08eHRtHxoln.Dimension(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\x14\x84\xd7\xcec\x00N/\x19\x00\x8a\x90'), chr(100) + chr(0b1100101) + chr(99) + chr(2381 - 2270) + '\x64' + chr(101))(chr(0b1011000 + 0o35) + chr(10568 - 10452) + chr(102) + chr(0b101101) + chr(0b111000)), n4ljua2gi1Pr.IHhsiEth2fU8)
pci1T9SDshKa = n08eHRtHxoln.Dimension(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\x14\x84\xd7\xcec\x00^'), chr(0b1100100) + '\145' + '\143' + chr(0b111010 + 0o65) + '\x64' + '\145')(chr(117) + chr(116) + '\146' + chr(45) + chr(189 - 133)), n4ljua2gi1Pr.r99iQzD4Y8i3[ehT0Px3KOsy9(chr(514 - 466) + '\x6f' + '\x30', 25805 - 25797)])
TTufnT3oefIY = n08eHRtHxoln.Dimension(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\x14\x84\xd7\xcec\x00_'), chr(100) + chr(0b1011101 + 0o10) + chr(7487 - 7388) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(117) + chr(9049 - 8933) + chr(102) + chr(0b101101) + chr(727 - 671)), n4ljua2gi1Pr.r99iQzD4Y8i3[ehT0Px3KOsy9(chr(1661 - 1613) + chr(0b1101111) + chr(0b110001), 8)])
OeWW0F1dBPRQ = n08eHRtHxoln.Dimension(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\x14\x84\xd7\xcec\x00^\x19\x08\n\x9c\x8e\x9d1\x1f'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b100101 + 0o112) + chr(100) + chr(101))(chr(117) + chr(116) + chr(102) + chr(0b101101) + '\x38'), n4ljua2gi1Pr.r99iQzD4Y8i3[ehT0Px3KOsy9('\060' + '\x6f' + chr(568 - 520), 8)])
SqiSOtYOqOJH = n08eHRtHxoln.Dimension(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\x14\x84\xd7\xcec\x00_\x19\x08\n\x9c\x8e\x9d1\x1f'), '\x64' + chr(101) + chr(3727 - 3628) + chr(111) + '\144' + chr(0b101010 + 0o73))(chr(8325 - 8208) + chr(116) + '\146' + chr(45) + chr(0b101000 + 0o20)), n4ljua2gi1Pr.r99iQzD4Y8i3[ehT0Px3KOsy9('\x30' + chr(9143 - 9032) + '\x31', 8)])
m1NkCryOw9Bx = ihuwPgoinqSc
(a39It4XsxVZ1, Ci8Sw7NtXV49) = iHUJLoIFX8UH(F19Ckzmt4hL1.NLcc3BCJnQka * aLoH_Mt0dzwO.NLcc3BCJnQka, n4ljua2gi1Pr.moe_group_size, n08eHRtHxoln.tensor_dim_to_mesh_dim_size(n4ljua2gi1Pr.HDH7OEwZuDah, n4ljua2gi1Pr.GnGMnRt7o0q6, F19Ckzmt4hL1))
JjvqlxSbECHi = n08eHRtHxoln.Dimension(F19Ckzmt4hL1.AIvJRzLdDfgF, a39It4XsxVZ1)
RWHpzFEeviFP = n08eHRtHxoln.Dimension(F19Ckzmt4hL1.AIvJRzLdDfgF + xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x19\x9a\xc1\xcc{6R'), chr(100) + chr(0b100110 + 0o77) + chr(9773 - 9674) + chr(0b1010 + 0o145) + '\144' + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(5790 - 5688) + chr(0b11111 + 0o16) + chr(0b1 + 0o67)), JjvqlxSbECHi.NLcc3BCJnQka)
vGrByMSYMp9h = n08eHRtHxoln.Dimension(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\x1e\x9b\xc7\xccH,O<\x18;\x97'), chr(0b11 + 0o141) + chr(101) + chr(1426 - 1327) + chr(4274 - 4163) + '\x64' + chr(1183 - 1082))(chr(4395 - 4278) + chr(116) + chr(864 - 762) + chr(45) + chr(0b111000)), Ci8Sw7NtXV49)
BbLkTuMCNnvG = n4ljua2gi1Pr.moe_capacity_factor_train if e80gRioCjdat else n4ljua2gi1Pr.moe_capacity_factor_eval
B2uy5TvYnLkE = Dx22bkKPdt5d(vGrByMSYMp9h.NLcc3BCJnQka, ehT0Px3KOsy9(vGrByMSYMp9h.NLcc3BCJnQka * BbLkTuMCNnvG / OeWW0F1dBPRQ.NLcc3BCJnQka))
B2uy5TvYnLkE = tsdjvlgh9gDP(B2uy5TvYnLkE, ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1001110 + 0o41) + chr(0b110100), 34664 - 34656))
qzn1Ctg9WgNh = n08eHRtHxoln.Dimension(xafqLlk3kkUe(SXOLrMavuUCe(b"\xb9\x14\x84\xd7\xcec\x00E'\r\x05\x8c\x97\x85!4\x85"), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(5791 - 5691) + chr(101))(chr(3801 - 3684) + chr(5075 - 4959) + '\146' + chr(0b110 + 0o47) + '\070'), B2uy5TvYnLkE)
(a39It4XsxVZ1, Ci8Sw7NtXV49) = iHUJLoIFX8UH(fPB7UjEOcUgF.NLcc3BCJnQka * RWHpzFEeviFP.NLcc3BCJnQka * qzn1Ctg9WgNh.NLcc3BCJnQka, n4ljua2gi1Pr.moe_group_size, n08eHRtHxoln.tensor_dim_to_mesh_dim_size(n4ljua2gi1Pr.HDH7OEwZuDah, n4ljua2gi1Pr.GnGMnRt7o0q6, fPB7UjEOcUgF))
YeT3l7JgTbWR = n08eHRtHxoln.Dimension(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\x1e\x9b\xc7\xccH,O<\x18;\x96'), chr(0b1100100) + chr(101) + '\x63' + chr(0b1011110 + 0o21) + '\x64' + chr(0b1100101))(chr(117) + chr(116) + '\146' + chr(45) + chr(0b110111 + 0o1)), Ci8Sw7NtXV49)
k7TqU8QS9yr6 = n08eHRtHxoln.Dimension(fPB7UjEOcUgF.AIvJRzLdDfgF, a39It4XsxVZ1)
sz4HVsFVF8nL = n08eHRtHxoln.Dimension(fPB7UjEOcUgF.AIvJRzLdDfgF + xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x19\x9a\xc1\xcc{6R'), chr(100) + chr(0b110001 + 0o64) + chr(9310 - 9211) + chr(0b1100 + 0o143) + '\144' + chr(1740 - 1639))(chr(117) + chr(12145 - 12029) + chr(0b1100110) + chr(0b11100 + 0o21) + '\070'), k7TqU8QS9yr6.NLcc3BCJnQka)
B2uy5TvYnLkE = Dx22bkKPdt5d(YeT3l7JgTbWR.NLcc3BCJnQka, ehT0Px3KOsy9(YeT3l7JgTbWR.NLcc3BCJnQka * n4ljua2gi1Pr.moe_capacity_factor_second_level / SqiSOtYOqOJH.NLcc3BCJnQka))
B2uy5TvYnLkE = tsdjvlgh9gDP(B2uy5TvYnLkE, ehT0Px3KOsy9('\060' + '\x6f' + '\x34', 8))
pd3lxn9vqWxp = n08eHRtHxoln.Dimension(xafqLlk3kkUe(SXOLrMavuUCe(b"\xb9\x14\x84\xd7\xcec\x00E'\r\x05\x8c\x97\x85!4\x84"), '\144' + chr(507 - 406) + chr(0b10110 + 0o115) + '\157' + '\144' + '\x65')(chr(0b111111 + 0o66) + chr(0b1110100) + chr(102) + chr(45) + '\070'), B2uy5TvYnLkE)
vXoupepMtCXU = n08eHRtHxoln.reshape(vXoupepMtCXU, [fPB7UjEOcUgF, JjvqlxSbECHi, vGrByMSYMp9h, r8ufID9JCHnI])
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\x03\x91\xed\xdbv+O(\x1a'), chr(3686 - 3586) + '\x65' + chr(99) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(117) + chr(6868 - 6752) + chr(0b1100110) + chr(0b11 + 0o52) + chr(0b111000))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\x03\x84\xed\x8e'), '\x64' + '\145' + chr(0b10001 + 0o122) + chr(111) + chr(0b1100100) + '\145')('\165' + chr(4693 - 4577) + chr(0b111101 + 0o51) + chr(45) + chr(0b111000)):
(H1_3rtjejtBs, XdgzmTC5SlIe, OOAsrq6B1bS5) = gjZ36AOLtseo(inputs=vXoupepMtCXU, outer_expert_dims=None, experts_dim=OeWW0F1dBPRQ, expert_capacity_dim=qzn1Ctg9WgNh, hparams=n4ljua2gi1Pr, train=e80gRioCjdat)
else:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\x02\x9f\xdc\xd3`1\x06.\r\x05\x9d\x9f\x9c+E\x90H\x9a<N o\xed\xf8\xe3\xd0S\xfa'), chr(2004 - 1904) + chr(0b1000001 + 0o44) + '\x63' + chr(111) + '\144' + '\x65')(chr(0b1110101) + chr(4243 - 4127) + chr(0b111111 + 0o47) + '\055' + chr(0b100111 + 0o21)) % xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\x03\x91\xed\xdbv+O(\x1a'), '\x64' + chr(101) + chr(99) + '\x6f' + chr(8639 - 8539) + chr(101))(chr(117) + '\164' + '\x66' + chr(0b11000 + 0o25) + chr(0b111000))))
TBNP0PDS3d4r = n08eHRtHxoln.einsum([vXoupepMtCXU, H1_3rtjejtBs], [OeWW0F1dBPRQ, fPB7UjEOcUgF, JjvqlxSbECHi, qzn1Ctg9WgNh, r8ufID9JCHnI])
dFLRzkDkORpe = n08eHRtHxoln.reduce_sum(XdgzmTC5SlIe, output_shape=[OeWW0F1dBPRQ, fPB7UjEOcUgF, JjvqlxSbECHi, qzn1Ctg9WgNh])
dFLRzkDkORpe = 0.5 * (n08eHRtHxoln.ZUL3kHBGU8Uu(n08eHRtHxoln.greater(dFLRzkDkORpe, 0.5)) + n08eHRtHxoln.ZUL3kHBGU8Uu(n08eHRtHxoln.greater(dFLRzkDkORpe, 0.0)))
TBNP0PDS3d4r = n08eHRtHxoln.reshape(TBNP0PDS3d4r, n08eHRtHxoln.Shape([pci1T9SDshKa, fPB7UjEOcUgF, RWHpzFEeviFP, qzn1Ctg9WgNh, r8ufID9JCHnI]))
dFLRzkDkORpe = n08eHRtHxoln.reshape(dFLRzkDkORpe, [pci1T9SDshKa, fPB7UjEOcUgF, RWHpzFEeviFP, qzn1Ctg9WgNh])
OQ_BxOdORAa7 = n08eHRtHxoln.reshape(TBNP0PDS3d4r, [pci1T9SDshKa, k7TqU8QS9yr6, YeT3l7JgTbWR, r8ufID9JCHnI])
dFLRzkDkORpe = n08eHRtHxoln.reshape(dFLRzkDkORpe, [pci1T9SDshKa, k7TqU8QS9yr6, YeT3l7JgTbWR])
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\x03\x91\xed\xdbv+O(\x1a'), chr(0b1011101 + 0o7) + '\x65' + chr(0b100100 + 0o77) + chr(0b110100 + 0o73) + '\x64' + '\x65')(chr(0b1110101) + chr(0b110101 + 0o77) + chr(6108 - 6006) + chr(0b101101) + chr(1035 - 979))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\x03\x84\xed\x8e'), chr(0b1100100) + chr(0b1100101) + chr(3172 - 3073) + chr(111) + chr(0b10101 + 0o117) + chr(0b1000111 + 0o36))('\x75' + chr(0b1110100) + '\146' + chr(0b101101) + chr(56)):
(uuivkxRY1bxj, kPTS47gW5wbh, IOvmeVfAHVpL) = gjZ36AOLtseo(inputs=OQ_BxOdORAa7, outer_expert_dims=[pci1T9SDshKa], experts_dim=SqiSOtYOqOJH, expert_capacity_dim=pd3lxn9vqWxp, hparams=n4ljua2gi1Pr, train=e80gRioCjdat, importance=dFLRzkDkORpe)
else:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\x02\x9f\xdc\xd3`1\x06.\r\x05\x9d\x9f\x9c+E\x90H\x9a<N o\xed\xf8\xe3\xd0S\xfa'), chr(100) + chr(2481 - 2380) + chr(99) + chr(8642 - 8531) + chr(8432 - 8332) + chr(0b1100101))('\165' + '\x74' + '\146' + '\055' + chr(0b111000)) % xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\x03\x91\xed\xdbv+O(\x1a'), chr(279 - 179) + '\145' + chr(0b10000 + 0o123) + '\x6f' + chr(100) + '\x65')(chr(0b10011 + 0o142) + '\164' + '\x66' + chr(115 - 70) + '\070')))
a2BJPIzBrvQw = n08eHRtHxoln.einsum([OQ_BxOdORAa7, uuivkxRY1bxj], [SqiSOtYOqOJH, pci1T9SDshKa, k7TqU8QS9yr6, pd3lxn9vqWxp, r8ufID9JCHnI])
a2BJPIzBrvQw = n08eHRtHxoln.reshape(a2BJPIzBrvQw, n08eHRtHxoln.Shape([TTufnT3oefIY, pci1T9SDshKa, sz4HVsFVF8nL, pd3lxn9vqWxp, r8ufID9JCHnI]))
E7WYYrq8GiBe = n08eHRtHxoln.layers.dense(a2BJPIzBrvQw, CQFa_cRh0Tor, expert_dims=[TTufnT3oefIY, pci1T9SDshKa], activation=n08eHRtHxoln.relu, use_bias=ehT0Px3KOsy9('\060' + chr(111) + chr(0b11111 + 0o21), 8), master_dtype=Hb0eMxC8Xlgf, slice_dtype=Jj0MAI8Iy0Sp, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\x14\x84\xd7\xceco'), chr(100) + chr(0b1001101 + 0o30) + chr(0b111 + 0o134) + chr(0b1101110 + 0o1) + chr(4964 - 4864) + '\x65')('\165' + chr(2362 - 2246) + chr(0b1100110) + chr(0b101101) + chr(0b111000)))
SsSb4XXTss5e = n08eHRtHxoln.layers.dense(E7WYYrq8GiBe, ihuwPgoinqSc, expert_dims=[TTufnT3oefIY, pci1T9SDshKa], use_bias=ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100001 + 0o17), 8), master_dtype=Hb0eMxC8Xlgf, slice_dtype=Jj0MAI8Iy0Sp, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\x14\x84\xd7\xcecn'), chr(0b1100100) + chr(0b1100101) + chr(5655 - 5556) + '\157' + chr(100) + chr(0b1100101))('\x75' + chr(116) + chr(0b101001 + 0o75) + chr(0b11 + 0o52) + '\070'))
SsSb4XXTss5e = n08eHRtHxoln.reshape(SsSb4XXTss5e, n08eHRtHxoln.Shape([SqiSOtYOqOJH, pci1T9SDshKa, k7TqU8QS9yr6, pd3lxn9vqWxp, m1NkCryOw9Bx]))
vcx_pkM0kUzY = n08eHRtHxoln.einsum([SsSb4XXTss5e, kPTS47gW5wbh], [pci1T9SDshKa, k7TqU8QS9yr6, YeT3l7JgTbWR, m1NkCryOw9Bx])
e1jVqMSBZ01Y = n08eHRtHxoln.reshape(vcx_pkM0kUzY, [pci1T9SDshKa, fPB7UjEOcUgF, RWHpzFEeviFP, qzn1Ctg9WgNh, m1NkCryOw9Bx])
oSpb2R2GY3__ = n08eHRtHxoln.reshape(e1jVqMSBZ01Y, n08eHRtHxoln.Shape([OeWW0F1dBPRQ, fPB7UjEOcUgF, JjvqlxSbECHi, qzn1Ctg9WgNh, m1NkCryOw9Bx]))
I3wNQihr0uLY = n08eHRtHxoln.einsum([oSpb2R2GY3__, XdgzmTC5SlIe], [fPB7UjEOcUgF, JjvqlxSbECHi, vGrByMSYMp9h, m1NkCryOw9Bx])
e1jVqMSBZ01Y = n08eHRtHxoln.reshape(I3wNQihr0uLY, [fPB7UjEOcUgF, F19Ckzmt4hL1, aLoH_Mt0dzwO, m1NkCryOw9Bx])
if aJptED3Gb1T7:
e1jVqMSBZ01Y = n08eHRtHxoln.reshape(e1jVqMSBZ01Y, [F19Ckzmt4hL1, aLoH_Mt0dzwO, m1NkCryOw9Bx])
return (e1jVqMSBZ01Y, (OOAsrq6B1bS5 + IOvmeVfAHVpL) * xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a!\x87\xe8\xe6e5g\x19/*\x9b'), chr(0b1100100) + '\x65' + chr(1813 - 1714) + '\157' + chr(100) + chr(8276 - 8175))('\165' + chr(116) + chr(102) + chr(986 - 941) + chr(56))))
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/moe.py
|
_top_2_gating
|
def _top_2_gating(
inputs, outer_expert_dims, experts_dim, expert_capacity_dim,
hparams, train, importance=None):
"""Compute gating for mixture-of-experts in TensorFlow.
Note: until the algorithm and inferface solidify, we pass in a hyperparameters
dictionary in order not to complicate the interface in mtf_transformer.py .
Once this code moves out of "research", we should pass the hyperparameters
separately.
Hyperparameters used:
hparams.moe_use_second_place_loss: a boolean
hparams.moe_second_policy_train: a string
hparams.moe_second_policy_eval: a string
hparams.moe_second_threshold: a float
The returned forward assignment is a tensor used to map (via einsum) from the
inputs to the expert_inputs. Likewise, the returned combine_tensor is
used to map (via einsum) from the expert outputs to the outputs. Both the
forward and backward assignments are mostly zeros. The shapes of the tensors
are as follows.
inputs: [<batch_dims>, group_size_dim, input_dim]
importance: [<batch_dims>, group_size_dim]
dispatch_tensor:
[<batch_dims>, group_size_dim, experts_dim, expert_capacity_dim]
expert_inputs:
[<batch_dims>, experts_dim, expert_capacity_dim, input_dim]
expert_outputs: [<batch_dims>, experts_dim, expert_capacity_dim, output_dim]
combine_tensor:
[<batch_dims>, group_size_dim, experts_dim, expert_capacity_dim]
outputs: [<batch_dims>, group_size_dim, output_dim]
"importance" is an optional tensor with one floating-point value for each
input vector. If the importance of an input is 1.0, then we send it to
up to 2 experts. If 0.0 < importance < 1.0, then we send it to at most
one expert. If importance == 0.0, then we send it to no experts.
We use "importance" at the second-level gating function of a hierarchical
mixture of experts. Inputs to the first-choice expert-group get importance
1.0. Inputs to the second-choice expert group get importance 0.5.
Inputs that represent padding get importance 0.0.
Args:
inputs: a mtf.Tensor with shape [<batch_dims>, group_size_dim, input_dim]
outer_expert_dims: an optional list of dimensions. This is for the case
where we are at an inner level of a hierarchical MoE.
experts_dim: a Dimension (the number of experts)
expert_capacity_dim: a Dimension (number of examples per group per expert)
hparams: model hyperparameters.
train: a boolean
importance: an optional tensor with shape [<batch_dims>, group_size_dim]
Returns:
dispatch_tensor: a Tensor with shape
[<batch_dims>, group_size_dim, experts_dim, expert_capacity_dim]
combine_tensor: a Tensor with shape
[<batch_dims>, group_size_dim, experts_dim, expert_capacity_dim]
loss: a mtf scalar
Raises:
ValueError: on illegal hyperparameters
"""
group_size_dim, unused_input_dim = inputs.shape.dims[-2:]
raw_gates = mtf.softmax(mtf.layers.dense(
inputs, experts_dim, use_bias=False,
expert_dims=outer_expert_dims), experts_dim)
# The internals of this function run in float32.
# bfloat16 seems to reduce quality.
raw_gates = mtf.to_float(raw_gates)
expert_capacity_f = float(expert_capacity_dim.size)
# FIND TOP 2 EXPERTS PER POSITON
# Find the top expert for each position. shape=[batch, group]
index_1, gate_1 = mtf.top_1(raw_gates, experts_dim)
# [batch, group, experts]
mask_1 = mtf.one_hot(index_1, experts_dim, dtype=raw_gates.dtype)
density_1_proxy = raw_gates
if importance is not None:
mask_1 *= mtf.to_float(mtf.equal(importance, 1.0))
gate_1 *= mtf.to_float(mtf.equal(importance, 1.0))
density_1_proxy *= mtf.to_float(mtf.equal(importance, 1.0))
gates_without_top_1 = raw_gates * (1.0 - mask_1)
# [batch, group]
index_2, gate_2 = mtf.top_1(gates_without_top_1, experts_dim)
# [batch, group, experts]
mask_2 = mtf.one_hot(index_2, experts_dim, dtype=raw_gates.dtype)
if importance is not None:
mask_2 *= mtf.to_float(mtf.greater(importance, 0.0))
denom = gate_1 + gate_2 + 1e-9
gate_1 /= denom
gate_2 /= denom
# BALANCING LOSSES
# shape = [batch, experts]
# We want to equalize the fraction of the batch assigned to each expert
density_1 = mtf.reduce_mean(mask_1, reduced_dim=group_size_dim)
# Something continuous that is correlated with what we want to equalize.
density_1_proxy = mtf.reduce_mean(density_1_proxy, reduced_dim=group_size_dim)
density_1 = mtf.Print(
density_1, [mtf.reduce_mean(density_1, output_shape=[experts_dim])],
"density_1", summarize=1000)
loss = (mtf.reduce_mean(density_1_proxy * density_1)
* float(experts_dim.size * experts_dim.size))
if hparams.moe_use_second_place_loss:
# Also add a loss to encourage all experts to be used equally also as the
# second-place expert. Experimentally, this seems to be a wash.
# We want to equalize the fraction of the batch assigned to each expert:
density_2 = mtf.reduce_mean(mask_2, reduced_dim=group_size_dim)
# As a proxy for density_2, we renormalize the raw gates after the top one
# has been removed.
normalized = gates_without_top_1 / (
mtf.reduce_sum(gates_without_top_1, reduced_dim=experts_dim) + 1e-9)
density_2_proxy = mtf.reduce_mean(normalized, reduced_dim=group_size_dim)
loss_2 = (mtf.reduce_mean(density_2_proxy * density_2)
* float(experts_dim.size * experts_dim.size))
loss += loss_2 * 0.5
# Depending on the policy in the hparams, we may drop out some of the
# second-place experts.
policy = (
hparams.moe_second_policy_train if train else
hparams.moe_second_policy_eval)
threshold = (
hparams.moe_second_threshold_train if train else
hparams.moe_second_threshold_eval)
if policy == "all":
# Use second-place experts for all examples.
pass
elif policy == "none":
# Never use second-place experts for all examples.
mask_2 = mtf.zeros_like(mask_2)
elif policy == "threshold":
# Use second-place experts if gate_2 > threshold.
mask_2 *= mtf.to_float(mtf.greater(gate_2, threshold))
elif policy == "random":
# Use second-place experts with probablity min(1.0, gate_2 / threshold).
mask_2 *= mtf.to_float(
mtf.less(mtf.random_uniform(gate_2.mesh, gate_2.shape),
gate_2 / max(threshold, 1e-9)))
else:
raise ValueError("Unknown policy %s" % policy)
mask_2 = mtf.Print(
mask_2, [mtf.reduce_mean(mask_2, output_shape=[experts_dim])],
"density_2", summarize=1000)
# COMPUTE ASSIGNMENT TO EXPERTS
# [batch, group, experts]
# This is the position within the expert's mini-batch for this sequence
position_in_expert_1 = mtf.cumsum(
mask_1, group_size_dim, exclusive=True) * mask_1
# Remove the elements that don't fit. [batch, group, experts]
mask_1 *= mtf.to_float(mtf.less(position_in_expert_1, expert_capacity_f))
# [batch, experts]
# How many examples in this sequence go to this expert
mask_1_count = mtf.reduce_sum(mask_1, reduced_dim=group_size_dim)
# [batch, group] - mostly ones, but zeros where something didn't fit
mask_1_flat = mtf.reduce_sum(mask_1, reduced_dim=experts_dim)
# [batch, group]
position_in_expert_1 = mtf.reduce_sum(
position_in_expert_1, reduced_dim=experts_dim)
# Weight assigned to first expert. [batch, group]
gate_1 *= mask_1_flat
# [batch, group, experts]
position_in_expert_2 = (
mtf.cumsum(mask_2, group_size_dim, exclusive=True) + mask_1_count)
position_in_expert_2 *= mask_2
mask_2 *= mtf.to_float(mtf.less(position_in_expert_2, expert_capacity_f))
# mask_2_count = mtf.reduce_sum(mask_2, reduced_dim=experts_dim)
mask_2_flat = mtf.reduce_sum(mask_2, reduced_dim=experts_dim)
gate_2 *= mask_2_flat
position_in_expert_2 = mtf.reduce_sum(
position_in_expert_2, reduced_dim=experts_dim)
# [batch, group, experts, expert_capacity]
combine_tensor = (
gate_1 * mask_1_flat
* mtf.one_hot(index_1, experts_dim)
* mtf.one_hot(mtf.to_int32(position_in_expert_1), expert_capacity_dim) +
gate_2 * mask_2_flat
* mtf.one_hot(index_2, experts_dim)
* mtf.one_hot(mtf.to_int32(position_in_expert_2), expert_capacity_dim))
combine_tensor = mtf.cast(combine_tensor, inputs.dtype)
loss = mtf.cast(loss, inputs.dtype)
dispatch_tensor = mtf.cast(
mtf.cast(combine_tensor, tf.bool), combine_tensor.dtype)
return dispatch_tensor, combine_tensor, loss
|
python
|
def _top_2_gating(
inputs, outer_expert_dims, experts_dim, expert_capacity_dim,
hparams, train, importance=None):
"""Compute gating for mixture-of-experts in TensorFlow.
Note: until the algorithm and inferface solidify, we pass in a hyperparameters
dictionary in order not to complicate the interface in mtf_transformer.py .
Once this code moves out of "research", we should pass the hyperparameters
separately.
Hyperparameters used:
hparams.moe_use_second_place_loss: a boolean
hparams.moe_second_policy_train: a string
hparams.moe_second_policy_eval: a string
hparams.moe_second_threshold: a float
The returned forward assignment is a tensor used to map (via einsum) from the
inputs to the expert_inputs. Likewise, the returned combine_tensor is
used to map (via einsum) from the expert outputs to the outputs. Both the
forward and backward assignments are mostly zeros. The shapes of the tensors
are as follows.
inputs: [<batch_dims>, group_size_dim, input_dim]
importance: [<batch_dims>, group_size_dim]
dispatch_tensor:
[<batch_dims>, group_size_dim, experts_dim, expert_capacity_dim]
expert_inputs:
[<batch_dims>, experts_dim, expert_capacity_dim, input_dim]
expert_outputs: [<batch_dims>, experts_dim, expert_capacity_dim, output_dim]
combine_tensor:
[<batch_dims>, group_size_dim, experts_dim, expert_capacity_dim]
outputs: [<batch_dims>, group_size_dim, output_dim]
"importance" is an optional tensor with one floating-point value for each
input vector. If the importance of an input is 1.0, then we send it to
up to 2 experts. If 0.0 < importance < 1.0, then we send it to at most
one expert. If importance == 0.0, then we send it to no experts.
We use "importance" at the second-level gating function of a hierarchical
mixture of experts. Inputs to the first-choice expert-group get importance
1.0. Inputs to the second-choice expert group get importance 0.5.
Inputs that represent padding get importance 0.0.
Args:
inputs: a mtf.Tensor with shape [<batch_dims>, group_size_dim, input_dim]
outer_expert_dims: an optional list of dimensions. This is for the case
where we are at an inner level of a hierarchical MoE.
experts_dim: a Dimension (the number of experts)
expert_capacity_dim: a Dimension (number of examples per group per expert)
hparams: model hyperparameters.
train: a boolean
importance: an optional tensor with shape [<batch_dims>, group_size_dim]
Returns:
dispatch_tensor: a Tensor with shape
[<batch_dims>, group_size_dim, experts_dim, expert_capacity_dim]
combine_tensor: a Tensor with shape
[<batch_dims>, group_size_dim, experts_dim, expert_capacity_dim]
loss: a mtf scalar
Raises:
ValueError: on illegal hyperparameters
"""
group_size_dim, unused_input_dim = inputs.shape.dims[-2:]
raw_gates = mtf.softmax(mtf.layers.dense(
inputs, experts_dim, use_bias=False,
expert_dims=outer_expert_dims), experts_dim)
# The internals of this function run in float32.
# bfloat16 seems to reduce quality.
raw_gates = mtf.to_float(raw_gates)
expert_capacity_f = float(expert_capacity_dim.size)
# FIND TOP 2 EXPERTS PER POSITON
# Find the top expert for each position. shape=[batch, group]
index_1, gate_1 = mtf.top_1(raw_gates, experts_dim)
# [batch, group, experts]
mask_1 = mtf.one_hot(index_1, experts_dim, dtype=raw_gates.dtype)
density_1_proxy = raw_gates
if importance is not None:
mask_1 *= mtf.to_float(mtf.equal(importance, 1.0))
gate_1 *= mtf.to_float(mtf.equal(importance, 1.0))
density_1_proxy *= mtf.to_float(mtf.equal(importance, 1.0))
gates_without_top_1 = raw_gates * (1.0 - mask_1)
# [batch, group]
index_2, gate_2 = mtf.top_1(gates_without_top_1, experts_dim)
# [batch, group, experts]
mask_2 = mtf.one_hot(index_2, experts_dim, dtype=raw_gates.dtype)
if importance is not None:
mask_2 *= mtf.to_float(mtf.greater(importance, 0.0))
denom = gate_1 + gate_2 + 1e-9
gate_1 /= denom
gate_2 /= denom
# BALANCING LOSSES
# shape = [batch, experts]
# We want to equalize the fraction of the batch assigned to each expert
density_1 = mtf.reduce_mean(mask_1, reduced_dim=group_size_dim)
# Something continuous that is correlated with what we want to equalize.
density_1_proxy = mtf.reduce_mean(density_1_proxy, reduced_dim=group_size_dim)
density_1 = mtf.Print(
density_1, [mtf.reduce_mean(density_1, output_shape=[experts_dim])],
"density_1", summarize=1000)
loss = (mtf.reduce_mean(density_1_proxy * density_1)
* float(experts_dim.size * experts_dim.size))
if hparams.moe_use_second_place_loss:
# Also add a loss to encourage all experts to be used equally also as the
# second-place expert. Experimentally, this seems to be a wash.
# We want to equalize the fraction of the batch assigned to each expert:
density_2 = mtf.reduce_mean(mask_2, reduced_dim=group_size_dim)
# As a proxy for density_2, we renormalize the raw gates after the top one
# has been removed.
normalized = gates_without_top_1 / (
mtf.reduce_sum(gates_without_top_1, reduced_dim=experts_dim) + 1e-9)
density_2_proxy = mtf.reduce_mean(normalized, reduced_dim=group_size_dim)
loss_2 = (mtf.reduce_mean(density_2_proxy * density_2)
* float(experts_dim.size * experts_dim.size))
loss += loss_2 * 0.5
# Depending on the policy in the hparams, we may drop out some of the
# second-place experts.
policy = (
hparams.moe_second_policy_train if train else
hparams.moe_second_policy_eval)
threshold = (
hparams.moe_second_threshold_train if train else
hparams.moe_second_threshold_eval)
if policy == "all":
# Use second-place experts for all examples.
pass
elif policy == "none":
# Never use second-place experts for all examples.
mask_2 = mtf.zeros_like(mask_2)
elif policy == "threshold":
# Use second-place experts if gate_2 > threshold.
mask_2 *= mtf.to_float(mtf.greater(gate_2, threshold))
elif policy == "random":
# Use second-place experts with probablity min(1.0, gate_2 / threshold).
mask_2 *= mtf.to_float(
mtf.less(mtf.random_uniform(gate_2.mesh, gate_2.shape),
gate_2 / max(threshold, 1e-9)))
else:
raise ValueError("Unknown policy %s" % policy)
mask_2 = mtf.Print(
mask_2, [mtf.reduce_mean(mask_2, output_shape=[experts_dim])],
"density_2", summarize=1000)
# COMPUTE ASSIGNMENT TO EXPERTS
# [batch, group, experts]
# This is the position within the expert's mini-batch for this sequence
position_in_expert_1 = mtf.cumsum(
mask_1, group_size_dim, exclusive=True) * mask_1
# Remove the elements that don't fit. [batch, group, experts]
mask_1 *= mtf.to_float(mtf.less(position_in_expert_1, expert_capacity_f))
# [batch, experts]
# How many examples in this sequence go to this expert
mask_1_count = mtf.reduce_sum(mask_1, reduced_dim=group_size_dim)
# [batch, group] - mostly ones, but zeros where something didn't fit
mask_1_flat = mtf.reduce_sum(mask_1, reduced_dim=experts_dim)
# [batch, group]
position_in_expert_1 = mtf.reduce_sum(
position_in_expert_1, reduced_dim=experts_dim)
# Weight assigned to first expert. [batch, group]
gate_1 *= mask_1_flat
# [batch, group, experts]
position_in_expert_2 = (
mtf.cumsum(mask_2, group_size_dim, exclusive=True) + mask_1_count)
position_in_expert_2 *= mask_2
mask_2 *= mtf.to_float(mtf.less(position_in_expert_2, expert_capacity_f))
# mask_2_count = mtf.reduce_sum(mask_2, reduced_dim=experts_dim)
mask_2_flat = mtf.reduce_sum(mask_2, reduced_dim=experts_dim)
gate_2 *= mask_2_flat
position_in_expert_2 = mtf.reduce_sum(
position_in_expert_2, reduced_dim=experts_dim)
# [batch, group, experts, expert_capacity]
combine_tensor = (
gate_1 * mask_1_flat
* mtf.one_hot(index_1, experts_dim)
* mtf.one_hot(mtf.to_int32(position_in_expert_1), expert_capacity_dim) +
gate_2 * mask_2_flat
* mtf.one_hot(index_2, experts_dim)
* mtf.one_hot(mtf.to_int32(position_in_expert_2), expert_capacity_dim))
combine_tensor = mtf.cast(combine_tensor, inputs.dtype)
loss = mtf.cast(loss, inputs.dtype)
dispatch_tensor = mtf.cast(
mtf.cast(combine_tensor, tf.bool), combine_tensor.dtype)
return dispatch_tensor, combine_tensor, loss
|
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] |
Compute gating for mixture-of-experts in TensorFlow.
Note: until the algorithm and inferface solidify, we pass in a hyperparameters
dictionary in order not to complicate the interface in mtf_transformer.py .
Once this code moves out of "research", we should pass the hyperparameters
separately.
Hyperparameters used:
hparams.moe_use_second_place_loss: a boolean
hparams.moe_second_policy_train: a string
hparams.moe_second_policy_eval: a string
hparams.moe_second_threshold: a float
The returned forward assignment is a tensor used to map (via einsum) from the
inputs to the expert_inputs. Likewise, the returned combine_tensor is
used to map (via einsum) from the expert outputs to the outputs. Both the
forward and backward assignments are mostly zeros. The shapes of the tensors
are as follows.
inputs: [<batch_dims>, group_size_dim, input_dim]
importance: [<batch_dims>, group_size_dim]
dispatch_tensor:
[<batch_dims>, group_size_dim, experts_dim, expert_capacity_dim]
expert_inputs:
[<batch_dims>, experts_dim, expert_capacity_dim, input_dim]
expert_outputs: [<batch_dims>, experts_dim, expert_capacity_dim, output_dim]
combine_tensor:
[<batch_dims>, group_size_dim, experts_dim, expert_capacity_dim]
outputs: [<batch_dims>, group_size_dim, output_dim]
"importance" is an optional tensor with one floating-point value for each
input vector. If the importance of an input is 1.0, then we send it to
up to 2 experts. If 0.0 < importance < 1.0, then we send it to at most
one expert. If importance == 0.0, then we send it to no experts.
We use "importance" at the second-level gating function of a hierarchical
mixture of experts. Inputs to the first-choice expert-group get importance
1.0. Inputs to the second-choice expert group get importance 0.5.
Inputs that represent padding get importance 0.0.
Args:
inputs: a mtf.Tensor with shape [<batch_dims>, group_size_dim, input_dim]
outer_expert_dims: an optional list of dimensions. This is for the case
where we are at an inner level of a hierarchical MoE.
experts_dim: a Dimension (the number of experts)
expert_capacity_dim: a Dimension (number of examples per group per expert)
hparams: model hyperparameters.
train: a boolean
importance: an optional tensor with shape [<batch_dims>, group_size_dim]
Returns:
dispatch_tensor: a Tensor with shape
[<batch_dims>, group_size_dim, experts_dim, expert_capacity_dim]
combine_tensor: a Tensor with shape
[<batch_dims>, group_size_dim, experts_dim, expert_capacity_dim]
loss: a mtf scalar
Raises:
ValueError: on illegal hyperparameters
|
[
"Compute",
"gating",
"for",
"mixture",
"-",
"of",
"-",
"experts",
"in",
"TensorFlow",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/moe.py#L414-L610
|
train
|
Top 2 gating for mixture - of - experts in TensorFlow.
|
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(799 - 688) + chr(1226 - 1176) + chr(54) + chr(1227 - 1179), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(1899 - 1849) + '\060', 0o10), ehT0Px3KOsy9(chr(1248 - 1200) + chr(9650 - 9539) + chr(1064 - 1013) + chr(0b10001 + 0o46) + chr(413 - 365), 24955 - 24947), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1001111 + 0o40) + chr(1408 - 1358) + chr(883 - 830) + chr(2470 - 2419), 0b1000), ehT0Px3KOsy9(chr(1202 - 1154) + chr(0b1101111) + chr(0b11110 + 0o25) + chr(0b110001) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(9390 - 9279) + chr(2093 - 2044) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\060' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100 + 0o55) + chr(49) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3581 - 3470) + chr(852 - 801) + chr(1632 - 1584) + chr(48), 14172 - 14164), ehT0Px3KOsy9(chr(293 - 245) + chr(0b1000111 + 0o50) + chr(49) + chr(0b100010 + 0o25) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(1884 - 1836) + chr(0b1101111) + chr(0b100000 + 0o23) + chr(0b110100) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b110011 + 0o74) + '\063' + chr(54) + chr(0b101110 + 0o4), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(1030 - 982) + chr(0b1000 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2344 - 2295) + chr(0b110111) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x37' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\x30' + chr(53), 59950 - 59942), ehT0Px3KOsy9(chr(1360 - 1312) + '\x6f' + '\x32' + chr(0b110111) + chr(0b110111), 46957 - 46949), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(48) + chr(54), 17303 - 17295), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2441 - 2388), 38744 - 38736), ehT0Px3KOsy9(chr(388 - 340) + chr(0b1101111) + chr(49) + chr(51) + '\065', 45830 - 45822), ehT0Px3KOsy9('\x30' + '\157' + '\065', 8), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(48) + '\061', 26273 - 26265), ehT0Px3KOsy9('\x30' + '\x6f' + '\064' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11934 - 11823) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(5699 - 5588) + '\062' + '\060' + chr(2041 - 1986), 32335 - 32327), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\x35' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(795 - 747) + chr(111) + chr(0b100011 + 0o17) + chr(54) + chr(0b1 + 0o57), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2099 - 2048) + '\x30' + '\x31', 0b1000), ehT0Px3KOsy9(chr(1144 - 1096) + '\157' + '\062' + chr(50) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b111111 + 0o60) + '\x31' + chr(48) + chr(0b10011 + 0o35), 0b1000), ehT0Px3KOsy9(chr(172 - 124) + '\x6f' + chr(0b110011) + chr(1810 - 1755) + chr(2422 - 2369), 0b1000), ehT0Px3KOsy9('\060' + chr(11936 - 11825) + '\061' + chr(0b110001) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(3702 - 3591) + chr(0b11000 + 0o33) + chr(0b101 + 0o53) + chr(54), 8), ehT0Px3KOsy9(chr(48) + chr(0b11110 + 0o121) + chr(0b110001) + chr(1044 - 993) + '\065', 8), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + '\063' + chr(0b100001 + 0o26) + '\x30', 8), ehT0Px3KOsy9('\x30' + chr(0b1100011 + 0o14) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100101 + 0o15) + '\065' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + chr(0b101 + 0o54) + '\x37' + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100111 + 0o16) + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(9031 - 8920) + '\x36' + chr(2503 - 2452), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(8684 - 8573) + chr(0b110101) + chr(0b100100 + 0o14), 3617 - 3609)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e'), chr(0b1100100) + chr(101) + '\143' + chr(0b1101111) + chr(2672 - 2572) + '\145')('\165' + chr(116) + '\146' + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def gjZ36AOLtseo(vXoupepMtCXU, I6oAOR7O9Efj, TyeOxylsJObR, xDiQQUAtqTh1, n4ljua2gi1Pr, e80gRioCjdat, dFLRzkDkORpe=None):
(OUeQOQWCORjl, uqZMC_NfpphB) = vXoupepMtCXU.shape.dims[-ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32', 34007 - 33999):]
LJ4OIbqlMW1D = n08eHRtHxoln.softmax(n08eHRtHxoln.layers.dense(vXoupepMtCXU, TyeOxylsJObR, use_bias=ehT0Px3KOsy9(chr(48) + '\157' + '\x30', 0b1000), expert_dims=I6oAOR7O9Efj), TyeOxylsJObR)
LJ4OIbqlMW1D = n08eHRtHxoln.ZUL3kHBGU8Uu(LJ4OIbqlMW1D)
wH4pDclQjNdq = kkSX4ccExqw4(xDiQQUAtqTh1.NLcc3BCJnQka)
(qfI2LM_BJZjc, HhwapRPW8Ov5) = n08eHRtHxoln.top_1(LJ4OIbqlMW1D, TyeOxylsJObR)
psNQXqohlXjK = n08eHRtHxoln.Hq3fv4Yp0EhD(qfI2LM_BJZjc, TyeOxylsJObR, dtype=LJ4OIbqlMW1D.jSV9IKnemH7K)
GAfrqKCx57YQ = LJ4OIbqlMW1D
if dFLRzkDkORpe is not None:
psNQXqohlXjK *= n08eHRtHxoln.ZUL3kHBGU8Uu(n08eHRtHxoln.equal(dFLRzkDkORpe, 1.0))
HhwapRPW8Ov5 *= n08eHRtHxoln.ZUL3kHBGU8Uu(n08eHRtHxoln.equal(dFLRzkDkORpe, 1.0))
GAfrqKCx57YQ *= n08eHRtHxoln.ZUL3kHBGU8Uu(n08eHRtHxoln.equal(dFLRzkDkORpe, 1.0))
yr7O1XLeKX4k = LJ4OIbqlMW1D * (1.0 - psNQXqohlXjK)
(asSbw1PSIiEe, ZVQ8iYSFf6j2) = n08eHRtHxoln.top_1(yr7O1XLeKX4k, TyeOxylsJObR)
kjIPnpENqlZi = n08eHRtHxoln.Hq3fv4Yp0EhD(asSbw1PSIiEe, TyeOxylsJObR, dtype=LJ4OIbqlMW1D.jSV9IKnemH7K)
if dFLRzkDkORpe is not None:
kjIPnpENqlZi *= n08eHRtHxoln.ZUL3kHBGU8Uu(n08eHRtHxoln.greater(dFLRzkDkORpe, 0.0))
fXheFXeFuYd1 = HhwapRPW8Ov5 + ZVQ8iYSFf6j2 + 1e-09
HhwapRPW8Ov5 /= fXheFXeFuYd1
ZVQ8iYSFf6j2 /= fXheFXeFuYd1
vhY64eu4EEUn = n08eHRtHxoln.reduce_mean(psNQXqohlXjK, reduced_dim=OUeQOQWCORjl)
GAfrqKCx57YQ = n08eHRtHxoln.reduce_mean(GAfrqKCx57YQ, reduced_dim=OUeQOQWCORjl)
vhY64eu4EEUn = n08eHRtHxoln.Print(vhY64eu4EEUn, [n08eHRtHxoln.reduce_mean(vhY64eu4EEUn, output_shape=[TyeOxylsJObR])], xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\xb5\x96\xd8\xa0z\xf9\x15\xf1'), '\144' + '\x65' + chr(99) + chr(0b1011100 + 0o23) + '\x64' + chr(0b1011 + 0o132))(chr(0b1110101) + '\164' + '\x66' + chr(0b101101) + chr(189 - 133)), summarize=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11 + 0o56) + chr(970 - 915) + chr(1596 - 1543) + chr(0b110000), 0o10))
YpO0BcZ6fMsf = n08eHRtHxoln.reduce_mean(GAfrqKCx57YQ * vhY64eu4EEUn) * kkSX4ccExqw4(TyeOxylsJObR.NLcc3BCJnQka * TyeOxylsJObR.NLcc3BCJnQka)
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\xbf\x9d\xf4\xbc}\xe5\x15\xb3\x1a\x83\x9d-\x1ff\xf5\xd3\xa7f8Z-Lw\xf4'), chr(5510 - 5410) + chr(359 - 258) + chr(0b100001 + 0o102) + chr(0b1001100 + 0o43) + chr(100) + chr(101))(chr(0b1110101) + chr(0b1101010 + 0o12) + chr(10212 - 10110) + chr(1357 - 1312) + '\070')):
qF4Qd1qjtRXf = n08eHRtHxoln.reduce_mean(kjIPnpENqlZi, reduced_dim=OUeQOQWCORjl)
FRzF_AGYk44w = yr7O1XLeKX4k / (n08eHRtHxoln.reduce_sum(yr7O1XLeKX4k, reduced_dim=TyeOxylsJObR) + 1e-09)
nqcEr5NGsQIR = n08eHRtHxoln.reduce_mean(FRzF_AGYk44w, reduced_dim=OUeQOQWCORjl)
G6RF7dnXfiU4 = n08eHRtHxoln.reduce_mean(nqcEr5NGsQIR * qF4Qd1qjtRXf) * kkSX4ccExqw4(TyeOxylsJObR.NLcc3BCJnQka * TyeOxylsJObR.NLcc3BCJnQka)
YpO0BcZ6fMsf += G6RF7dnXfiU4 * 0.5
s617wIX8Hbiy = n4ljua2gi1Pr.moe_second_policy_train if e80gRioCjdat else n4ljua2gi1Pr.moe_second_policy_eval
DhxlYT5nN5Hu = n4ljua2gi1Pr.moe_second_threshold_train if e80gRioCjdat else n4ljua2gi1Pr.moe_second_threshold_eval
if s617wIX8Hbiy == xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\xbc\x94'), '\144' + chr(0b1010110 + 0o17) + chr(4444 - 4345) + chr(0b110001 + 0o76) + chr(4776 - 4676) + '\145')(chr(117) + chr(4754 - 4638) + '\x66' + chr(1580 - 1535) + '\070'):
pass
elif s617wIX8Hbiy == xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xbf\x96\xce'), chr(100) + chr(101) + chr(0b1100011) + '\157' + chr(1436 - 1336) + chr(0b1011001 + 0o14))(chr(0b1001010 + 0o53) + chr(0b11110 + 0o126) + '\146' + chr(1692 - 1647) + chr(0b111000)):
kjIPnpENqlZi = n08eHRtHxoln.zeros_like(kjIPnpENqlZi)
elif s617wIX8Hbiy == xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\xb8\x8a\xce\xbaf\xef&\xa4'), chr(0b110011 + 0o61) + '\x65' + chr(99) + chr(0b10000 + 0o137) + chr(100) + '\145')(chr(0b1110101) + '\x74' + chr(9279 - 9177) + '\055' + '\070'):
kjIPnpENqlZi *= n08eHRtHxoln.ZUL3kHBGU8Uu(n08eHRtHxoln.greater(ZVQ8iYSFf6j2, DhxlYT5nN5Hu))
elif s617wIX8Hbiy == xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xb1\x96\xcf\xa6c'), chr(0b1000100 + 0o40) + '\145' + '\x63' + chr(1087 - 976) + '\144' + chr(6023 - 5922))(chr(2228 - 2111) + chr(116) + '\146' + chr(0b101010 + 0o3) + chr(0b110111 + 0o1)):
kjIPnpENqlZi *= n08eHRtHxoln.ZUL3kHBGU8Uu(n08eHRtHxoln.less(n08eHRtHxoln.random_uniform(ZVQ8iYSFf6j2.mesh, ZVQ8iYSFf6j2.nauYfLglTpcb), ZVQ8iYSFf6j2 / tsdjvlgh9gDP(DhxlYT5nN5Hu, 1e-09)))
else:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\xbe\x93\xc5\xa6y\xeej\xb0\x10\x8c\x9b \x02\x19\xa0\xcc'), chr(6821 - 6721) + chr(0b1100010 + 0o3) + chr(0b1010100 + 0o17) + '\157' + chr(0b101011 + 0o71) + chr(4545 - 4444))('\165' + chr(11433 - 11317) + '\x66' + '\055' + chr(0b111000)) % s617wIX8Hbiy)
kjIPnpENqlZi = n08eHRtHxoln.Print(kjIPnpENqlZi, [n08eHRtHxoln.reduce_mean(kjIPnpENqlZi, output_shape=[TyeOxylsJObR])], xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\xb5\x96\xd8\xa0z\xf9\x15\xf2'), chr(4334 - 4234) + chr(0b1100101) + '\143' + '\x6f' + chr(0b1100100) + chr(0b1001000 + 0o35))('\165' + chr(0b1010010 + 0o42) + chr(3470 - 3368) + '\055' + chr(56)), summarize=ehT0Px3KOsy9(chr(48) + chr(0b1010 + 0o145) + chr(0b110001) + chr(0b10 + 0o65) + '\065' + chr(0b1000 + 0o50), 8))
HheNCmM2GCnq = n08eHRtHxoln.i0lzZW3r00ue(psNQXqohlXjK, OUeQOQWCORjl, exclusive=ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + chr(49), 0b1000)) * psNQXqohlXjK
psNQXqohlXjK *= n08eHRtHxoln.ZUL3kHBGU8Uu(n08eHRtHxoln.less(HheNCmM2GCnq, wH4pDclQjNdq))
BWmdZKMWumHL = n08eHRtHxoln.reduce_sum(psNQXqohlXjK, reduced_dim=OUeQOQWCORjl)
pYrt6xoaLBuo = n08eHRtHxoln.reduce_sum(psNQXqohlXjK, reduced_dim=TyeOxylsJObR)
HheNCmM2GCnq = n08eHRtHxoln.reduce_sum(HheNCmM2GCnq, reduced_dim=TyeOxylsJObR)
HhwapRPW8Ov5 *= pYrt6xoaLBuo
FqTbGm9HHDVt = n08eHRtHxoln.i0lzZW3r00ue(kjIPnpENqlZi, OUeQOQWCORjl, exclusive=ehT0Px3KOsy9('\x30' + chr(111) + chr(1640 - 1591), 8)) + BWmdZKMWumHL
FqTbGm9HHDVt *= kjIPnpENqlZi
kjIPnpENqlZi *= n08eHRtHxoln.ZUL3kHBGU8Uu(n08eHRtHxoln.less(FqTbGm9HHDVt, wH4pDclQjNdq))
tLMHE4kUCyvX = n08eHRtHxoln.reduce_sum(kjIPnpENqlZi, reduced_dim=TyeOxylsJObR)
ZVQ8iYSFf6j2 *= tLMHE4kUCyvX
FqTbGm9HHDVt = n08eHRtHxoln.reduce_sum(FqTbGm9HHDVt, reduced_dim=TyeOxylsJObR)
un7dXWByYF6Z = HhwapRPW8Ov5 * pYrt6xoaLBuo * n08eHRtHxoln.Hq3fv4Yp0EhD(qfI2LM_BJZjc, TyeOxylsJObR) * n08eHRtHxoln.Hq3fv4Yp0EhD(n08eHRtHxoln.to_int32(HheNCmM2GCnq), xDiQQUAtqTh1) + ZVQ8iYSFf6j2 * tLMHE4kUCyvX * n08eHRtHxoln.Hq3fv4Yp0EhD(asSbw1PSIiEe, TyeOxylsJObR) * n08eHRtHxoln.Hq3fv4Yp0EhD(n08eHRtHxoln.to_int32(FqTbGm9HHDVt), xDiQQUAtqTh1)
un7dXWByYF6Z = n08eHRtHxoln.cast(un7dXWByYF6Z, vXoupepMtCXU.jSV9IKnemH7K)
YpO0BcZ6fMsf = n08eHRtHxoln.cast(YpO0BcZ6fMsf, vXoupepMtCXU.jSV9IKnemH7K)
HILSWWnPNFeM = n08eHRtHxoln.cast(n08eHRtHxoln.cast(un7dXWByYF6Z, IDJ2eXGCBCDu.bool), un7dXWByYF6Z.jSV9IKnemH7K)
return (HILSWWnPNFeM, un7dXWByYF6Z, YpO0BcZ6fMsf)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/moe.py
|
set_default_moe_hparams
|
def set_default_moe_hparams(hparams):
"""Add necessary hyperparameters for mixture-of-experts."""
hparams.moe_num_experts = 16
hparams.moe_loss_coef = 1e-2
hparams.add_hparam("moe_gating", "top_2")
# Experts have fixed capacity per batch. We need some extra capacity
# in case gating is not perfectly balanced.
# moe_capacity_factor_* should be set to a value >=1.
hparams.add_hparam("moe_capacity_factor_train", 1.25)
hparams.add_hparam("moe_capacity_factor_eval", 2.0)
hparams.add_hparam("moe_capacity_factor_second_level", 1.0)
# Each expert has a hidden layer with this size.
hparams.add_hparam("moe_hidden_size", 4096)
# For gating, divide inputs into groups of this size before gating.
# Each group sends the same number of inputs to each expert.
# Ideally, the group size would be the whole batch, but this is expensive
# due to our use of matrix multiplication for reordering.
hparams.add_hparam("moe_group_size", 1024)
# For top_2 gating, whether to impose an additional loss in order to make
# the experts equally used as the second-place expert.
hparams.add_hparam("moe_use_second_place_loss", 0)
# In top_2 gating, policy for whether to use a second-place expert.
# Legal values are:
# "all": always
# "none": never
# "threshold": if gate value > the given threshold
# "random": if gate value > threshold*random_uniform(0,1)
hparams.add_hparam("moe_second_policy_train", "random")
hparams.add_hparam("moe_second_policy_eval", "random")
hparams.add_hparam("moe_second_threshold_train", 0.2)
hparams.add_hparam("moe_second_threshold_eval", 0.2)
|
python
|
def set_default_moe_hparams(hparams):
"""Add necessary hyperparameters for mixture-of-experts."""
hparams.moe_num_experts = 16
hparams.moe_loss_coef = 1e-2
hparams.add_hparam("moe_gating", "top_2")
# Experts have fixed capacity per batch. We need some extra capacity
# in case gating is not perfectly balanced.
# moe_capacity_factor_* should be set to a value >=1.
hparams.add_hparam("moe_capacity_factor_train", 1.25)
hparams.add_hparam("moe_capacity_factor_eval", 2.0)
hparams.add_hparam("moe_capacity_factor_second_level", 1.0)
# Each expert has a hidden layer with this size.
hparams.add_hparam("moe_hidden_size", 4096)
# For gating, divide inputs into groups of this size before gating.
# Each group sends the same number of inputs to each expert.
# Ideally, the group size would be the whole batch, but this is expensive
# due to our use of matrix multiplication for reordering.
hparams.add_hparam("moe_group_size", 1024)
# For top_2 gating, whether to impose an additional loss in order to make
# the experts equally used as the second-place expert.
hparams.add_hparam("moe_use_second_place_loss", 0)
# In top_2 gating, policy for whether to use a second-place expert.
# Legal values are:
# "all": always
# "none": never
# "threshold": if gate value > the given threshold
# "random": if gate value > threshold*random_uniform(0,1)
hparams.add_hparam("moe_second_policy_train", "random")
hparams.add_hparam("moe_second_policy_eval", "random")
hparams.add_hparam("moe_second_threshold_train", 0.2)
hparams.add_hparam("moe_second_threshold_eval", 0.2)
|
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] |
Add necessary hyperparameters for mixture-of-experts.
|
[
"Add",
"necessary",
"hyperparameters",
"for",
"mixture",
"-",
"of",
"-",
"experts",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/moe.py#L613-L643
|
train
|
Add default hyperparameters for mixture - of - experts.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1011000 + 0o27) + '\066', 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + '\065' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b101010 + 0o11) + '\061' + chr(0b110101), 40863 - 40855), ehT0Px3KOsy9(chr(2120 - 2072) + chr(9855 - 9744) + '\x35' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(391 - 341) + chr(54) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110100) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11011 + 0o27) + '\063' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(1652 - 1604) + chr(0b1101111) + '\062' + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\062' + '\060', 5157 - 5149), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11100 + 0o27) + '\x33' + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(0b110111) + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(7934 - 7823) + chr(1307 - 1258) + chr(50) + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(6759 - 6648) + chr(0b110001) + chr(0b110000) + chr(1689 - 1641), 45958 - 45950), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110101) + '\060', 24990 - 24982), ehT0Px3KOsy9(chr(2136 - 2088) + chr(0b1101111) + chr(1582 - 1528) + chr(0b100 + 0o54), 0b1000), ehT0Px3KOsy9(chr(1415 - 1367) + '\x6f' + chr(51) + chr(54) + '\066', 0b1000), ehT0Px3KOsy9(chr(2027 - 1979) + '\x6f' + '\063' + chr(0b1111 + 0o44), 0o10), ehT0Px3KOsy9(chr(824 - 776) + chr(0b1101111) + chr(0b11010 + 0o27) + chr(0b110110) + '\062', 9674 - 9666), ehT0Px3KOsy9(chr(104 - 56) + chr(111) + chr(0b110001) + chr(0b10010 + 0o45) + chr(52), 0b1000), ehT0Px3KOsy9(chr(420 - 372) + chr(111) + '\063' + chr(105 - 55) + '\067', 45267 - 45259), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b111001 + 0o66) + '\x37' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(0b110010) + '\062' + chr(0b10 + 0o57), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110001 + 0o76) + '\x33' + chr(53) + chr(0b10001 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11527 - 11416) + chr(50) + chr(49) + chr(0b100101 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x37' + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(0b101111 + 0o2) + chr(331 - 277) + '\067', 48143 - 48135), ehT0Px3KOsy9('\060' + chr(0b1100110 + 0o11) + '\062' + chr(0b1010 + 0o55) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + '\063' + chr(53) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + '\061' + chr(0b110011) + chr(0b110101), 58749 - 58741), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b10101 + 0o36) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + '\x32' + chr(53) + chr(118 - 69), 12404 - 12396), ehT0Px3KOsy9(chr(389 - 341) + chr(0b1100 + 0o143) + chr(0b1011 + 0o47) + chr(0b110011) + chr(53), 8), ehT0Px3KOsy9(chr(200 - 152) + chr(0b1101111) + '\x32' + '\063' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1011000 + 0o27) + chr(2398 - 2345) + chr(302 - 247), 52837 - 52829), ehT0Px3KOsy9(chr(229 - 181) + chr(7031 - 6920) + '\x31' + chr(2184 - 2129) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + '\061' + '\062' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1786 - 1738) + chr(111) + '\063' + '\062' + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\067' + '\065', 21976 - 21968), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(1085 - 1034) + '\x32' + '\x36', 8), ehT0Px3KOsy9(chr(2224 - 2176) + chr(0b1101111) + chr(0b10 + 0o61) + '\x35' + '\063', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(53) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'('), chr(0b11010 + 0o112) + chr(0b111100 + 0o51) + chr(99) + chr(3700 - 3589) + chr(0b1100100) + chr(0b1100101))(chr(7206 - 7089) + chr(5139 - 5023) + '\146' + chr(0b101101) + chr(0b110010 + 0o6)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZM0Cjhne_lQP(n4ljua2gi1Pr):
n4ljua2gi1Pr.r99iQzD4Y8i3 = ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101 + 0o55) + chr(964 - 916), 0o10)
n4ljua2gi1Pr.VMsZZrjA_RNt = 0.01
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'gM\xa9u\xd8W\xfb`\xf1\xb6'), chr(0b1100100) + chr(7381 - 7280) + '\x63' + chr(1261 - 1150) + chr(0b1100100) + chr(0b110111 + 0o56))(chr(1023 - 906) + chr(0b111011 + 0o71) + '\x66' + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'kF\xa8u\xd7F\xee{\xfe\xbc'), chr(0b1100100) + chr(6799 - 6698) + chr(2183 - 2084) + chr(0b1101111) + '\x64' + chr(0b100 + 0o141))('\x75' + '\164' + '\146' + '\055' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'rF\xbdu\x82'), '\144' + chr(101) + chr(99) + chr(0b1101000 + 0o7) + '\144' + chr(0b1 + 0o144))(chr(401 - 284) + chr(116) + chr(102) + '\055' + '\x38'))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'gM\xa9u\xd8W\xfb`\xf1\xb6'), chr(100) + '\145' + '\x63' + chr(5253 - 5142) + '\x64' + '\145')(chr(3986 - 3869) + chr(0b110101 + 0o77) + '\146' + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'kF\xa8u\xd3F\xeas\xf3\xb2\xc9+\x1f\x0eQ\x95o\x1d\x0e\x88K\xe3\x8e\xe0Q'), chr(1670 - 1570) + chr(101) + '\143' + chr(0b1101111) + '\x64' + chr(2789 - 2688))('\165' + '\x74' + chr(3514 - 3412) + '\055' + chr(2099 - 2043)), 1.25)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'gM\xa9u\xd8W\xfb`\xf1\xb6'), chr(100) + '\x65' + chr(9430 - 9331) + '\x6f' + chr(100) + chr(0b1100101))(chr(117) + chr(116) + '\x66' + '\x2d' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'kF\xa8u\xd3F\xeas\xf3\xb2\xc9+\x1f\x0eQ\x95o\x1d\x0e\x88Z\xe7\x8e\xe5'), '\x64' + chr(0b1100101) + chr(2326 - 2227) + chr(111) + chr(9212 - 9112) + chr(101))(chr(0b1011110 + 0o27) + chr(0b1110100) + '\146' + '\055' + chr(56)), 2.0)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'gM\xa9u\xd8W\xfb`\xf1\xb6'), '\144' + chr(0b1000 + 0o135) + '\x63' + chr(111) + chr(536 - 436) + '\x65')(chr(117) + '\164' + chr(0b1100110) + chr(0b110 + 0o47) + chr(0b101110 + 0o12)))(xafqLlk3kkUe(SXOLrMavuUCe(b'kF\xa8u\xd3F\xeas\xf3\xb2\xc9+\x1f\x0eQ\x95o\x1d\x0e\x88L\xf4\x8c\xe6Q\x13\xe5\x848\xeb\xcc\xf1'), '\144' + '\145' + chr(0b1001 + 0o132) + '\x6f' + '\144' + chr(2594 - 2493))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(0b111000)), 1.0)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'gM\xa9u\xd8W\xfb`\xf1\xb6'), chr(0b110011 + 0o61) + '\145' + '\x63' + chr(612 - 501) + '\144' + chr(101))(chr(0b100010 + 0o123) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'kF\xa8u\xd8N\xfev\xf5\xb5\xe2!)\x12U'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(8371 - 8260) + chr(1561 - 1461) + chr(5727 - 5626))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(0b10110 + 0o42)), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + '\061' + '\x30' + chr(0b110000) + '\060' + '\x30', 0o10))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'gM\xa9u\xd8W\xfb`\xf1\xb6'), chr(4492 - 4392) + chr(0b1001 + 0o134) + chr(99) + '\157' + chr(100) + chr(101))('\x75' + '\164' + '\x66' + '\055' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'kF\xa8u\xd7U\xf5g\xe0\x84\xce;:\r'), '\144' + chr(0b1010100 + 0o21) + chr(0b1100011) + '\157' + '\144' + chr(8539 - 8438))(chr(0b1110101) + chr(0b1001001 + 0o53) + chr(0b101011 + 0o73) + chr(1991 - 1946) + '\x38'), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b110000) + '\x30' + chr(696 - 648), 0o10))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'gM\xa9u\xd8W\xfb`\xf1\xb6'), chr(0b1010001 + 0o23) + '\x65' + chr(0b1111 + 0o124) + chr(0b1101111) + chr(0b1011101 + 0o7) + chr(2755 - 2654))(chr(0b1110101) + chr(1465 - 1349) + '\x66' + chr(951 - 906) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'kF\xa8u\xc5T\xffM\xe3\xbe\xde=.\x0co\x86w\x13\x1f\xb2`\xfd\x80\xfaL'), '\x64' + chr(0b1100101) + chr(99) + chr(5774 - 5663) + '\144' + '\145')('\x75' + '\x74' + chr(850 - 748) + chr(0b101101) + '\070'), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1011111 + 0o20) + chr(48), 0o10))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'gM\xa9u\xd8W\xfb`\xf1\xb6'), chr(0b100000 + 0o104) + '\x65' + chr(0b1100011) + chr(0b10010 + 0o135) + '\x64' + '\145')(chr(0b11110 + 0o127) + chr(116) + chr(7018 - 6916) + chr(0b101101) + chr(0b1101 + 0o53)))(xafqLlk3kkUe(SXOLrMavuUCe(b'kF\xa8u\xc3B\xf9}\xfe\xbf\xe2"/\x04Y\x95b-\x08\xa5^\xf8\x81'), '\x64' + '\145' + '\143' + chr(10851 - 10740) + '\144' + '\145')('\165' + chr(0b101001 + 0o113) + chr(6378 - 6276) + chr(992 - 947) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'tH\xa3N\xdfJ'), '\144' + '\x65' + chr(0b111010 + 0o51) + '\157' + chr(0b1100100) + '\145')(chr(117) + chr(12839 - 12723) + chr(8397 - 8295) + chr(1059 - 1014) + chr(0b111000)))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'gM\xa9u\xd8W\xfb`\xf1\xb6'), '\144' + '\x65' + chr(4581 - 4482) + chr(8304 - 8193) + chr(100) + chr(0b1100101))(chr(0b111000 + 0o75) + '\164' + chr(0b11100 + 0o112) + '\x2d' + chr(908 - 852)))(xafqLlk3kkUe(SXOLrMavuUCe(b'kF\xa8u\xc3B\xf9}\xfe\xbf\xe2"/\x04Y\x95b-\x19\xa1^\xfd'), chr(6653 - 6553) + chr(101) + '\x63' + '\157' + chr(4847 - 4747) + '\x65')('\165' + chr(0b1110100) + chr(8070 - 7968) + '\055' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'tH\xa3N\xdfJ'), chr(0b1100100) + chr(3518 - 3417) + chr(0b101111 + 0o64) + '\x6f' + chr(100) + chr(101))(chr(0b10111 + 0o136) + chr(0b100011 + 0o121) + chr(102) + chr(435 - 390) + chr(0b111000)))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'gM\xa9u\xd8W\xfb`\xf1\xb6'), chr(5467 - 5367) + '\x65' + '\143' + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(4211 - 4094) + chr(251 - 135) + chr(5489 - 5387) + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'kF\xa8u\xc3B\xf9}\xfe\xbf\xe2&(\x1aU\x85s\x1d\x10\xb3`\xe5\x9d\xe8V\x19'), chr(6032 - 5932) + chr(101) + '\143' + chr(0b1001010 + 0o45) + '\x64' + chr(6521 - 6420))(chr(117) + '\x74' + '\146' + chr(1200 - 1155) + '\x38'), 0.2)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'gM\xa9u\xd8W\xfb`\xf1\xb6'), chr(0b10001 + 0o123) + '\x65' + chr(0b1100011) + '\157' + chr(0b100010 + 0o102) + chr(0b1100101))(chr(0b110010 + 0o103) + chr(0b1110100) + '\146' + chr(0b101101) + chr(674 - 618)))(xafqLlk3kkUe(SXOLrMavuUCe(b'kF\xa8u\xc3B\xf9}\xfe\xbf\xe2&(\x1aU\x85s\x1d\x10\xb3`\xf4\x99\xe8S'), chr(0b1100100) + chr(0b1100011 + 0o2) + '\x63' + chr(0b1101001 + 0o6) + '\144' + chr(0b10011 + 0o122))('\x75' + chr(0b1100 + 0o150) + chr(0b11001 + 0o115) + chr(741 - 696) + chr(0b111000)), 0.2)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/moe.py
|
_split_into_groups
|
def _split_into_groups(n, max_group_size, mesh_dim_size):
"""Helper function for figuring out how to split a dimensino into groups.
We have a dimension with size n and we want to split it into
two dimensions: n = num_groups * group_size
group_size should be the largest possible value meeting the constraints:
group_size <= max_group_size
(num_groups = n/group_size) is a multiple of mesh_dim_size
Args:
n: an integer
max_group_size: an integer
mesh_dim_size: an integer
Returns:
num_groups: an integer
group_size: an integer
Raises:
ValueError: if n is not a multiple of mesh_dim_size
"""
if n % mesh_dim_size != 0:
raise ValueError(
"n=%d is not a multiple of mesh_dim_size=%d" % (n, mesh_dim_size))
num_groups = max(1, n // max_group_size)
while (num_groups % mesh_dim_size != 0 or n % num_groups != 0):
num_groups += 1
group_size = n // num_groups
tf.logging.info(
"_split_into_groups(n=%d, max_group_size=%d, mesh_dim_size=%d)"
" = (num_groups=%d group_size=%d)" %
(n, max_group_size, mesh_dim_size, num_groups, group_size))
return num_groups, group_size
|
python
|
def _split_into_groups(n, max_group_size, mesh_dim_size):
"""Helper function for figuring out how to split a dimensino into groups.
We have a dimension with size n and we want to split it into
two dimensions: n = num_groups * group_size
group_size should be the largest possible value meeting the constraints:
group_size <= max_group_size
(num_groups = n/group_size) is a multiple of mesh_dim_size
Args:
n: an integer
max_group_size: an integer
mesh_dim_size: an integer
Returns:
num_groups: an integer
group_size: an integer
Raises:
ValueError: if n is not a multiple of mesh_dim_size
"""
if n % mesh_dim_size != 0:
raise ValueError(
"n=%d is not a multiple of mesh_dim_size=%d" % (n, mesh_dim_size))
num_groups = max(1, n // max_group_size)
while (num_groups % mesh_dim_size != 0 or n % num_groups != 0):
num_groups += 1
group_size = n // num_groups
tf.logging.info(
"_split_into_groups(n=%d, max_group_size=%d, mesh_dim_size=%d)"
" = (num_groups=%d group_size=%d)" %
(n, max_group_size, mesh_dim_size, num_groups, group_size))
return num_groups, group_size
|
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] |
Helper function for figuring out how to split a dimensino into groups.
We have a dimension with size n and we want to split it into
two dimensions: n = num_groups * group_size
group_size should be the largest possible value meeting the constraints:
group_size <= max_group_size
(num_groups = n/group_size) is a multiple of mesh_dim_size
Args:
n: an integer
max_group_size: an integer
mesh_dim_size: an integer
Returns:
num_groups: an integer
group_size: an integer
Raises:
ValueError: if n is not a multiple of mesh_dim_size
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/moe.py#L646-L679
|
train
|
Helper function for figuring out how to split a dimensino into groups.
|
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(11519 - 11408) + chr(0b110011) + '\x35' + chr(54), 36761 - 36753), ehT0Px3KOsy9(chr(1098 - 1050) + chr(0b1101111) + chr(1594 - 1545) + '\062' + chr(51), 1411 - 1403), ehT0Px3KOsy9(chr(1630 - 1582) + chr(0b10000 + 0o137) + '\063' + chr(0b1100 + 0o47) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b111 + 0o150) + chr(544 - 495) + '\x31' + chr(1590 - 1538), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110101) + chr(1909 - 1860), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b110100) + chr(1788 - 1740), 62037 - 62029), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1100 + 0o46) + chr(879 - 830) + chr(333 - 279), 0o10), ehT0Px3KOsy9(chr(1346 - 1298) + chr(1182 - 1071) + '\x32' + '\x36' + chr(597 - 542), ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(0b110011) + chr(1640 - 1585) + '\x33', 9059 - 9051), ehT0Px3KOsy9(chr(48) + chr(8319 - 8208) + '\x36' + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1110 + 0o141) + '\061' + chr(0b11001 + 0o34) + chr(487 - 436), 7457 - 7449), ehT0Px3KOsy9(chr(0b110000) + chr(5050 - 4939) + chr(2635 - 2581) + chr(0b110100 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(1160 - 1112) + chr(0b10111 + 0o130) + '\062' + chr(0b110000 + 0o5) + chr(0b10100 + 0o34), 8920 - 8912), ehT0Px3KOsy9(chr(906 - 858) + chr(1104 - 993) + chr(0b110011) + chr(0b110000) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + '\063' + '\066' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(55) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b10000 + 0o46) + '\064', 52548 - 52540), ehT0Px3KOsy9(chr(2062 - 2014) + '\x6f' + chr(49) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(2020 - 1972) + chr(0b101 + 0o152) + '\x32' + chr(532 - 483) + chr(54), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2103 - 2053) + chr(0b110001) + '\x34', 52918 - 52910), ehT0Px3KOsy9(chr(191 - 143) + chr(111) + chr(0b110011) + chr(2788 - 2734) + '\x31', 0o10), ehT0Px3KOsy9(chr(1699 - 1651) + '\157' + chr(0b1011 + 0o50) + chr(0b110000) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x31' + '\x30' + '\063', 58478 - 58470), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(1653 - 1605) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1001110 + 0o41) + '\x32' + chr(49) + chr(1749 - 1695), 8), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + '\061' + chr(0b110111) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\x34' + chr(481 - 430), 0o10), ehT0Px3KOsy9(chr(1458 - 1410) + chr(0b1101100 + 0o3) + chr(0b0 + 0o62) + chr(50) + chr(2915 - 2860), 7623 - 7615), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\061' + '\x36', 44849 - 44841), ehT0Px3KOsy9(chr(1855 - 1807) + chr(111) + chr(1255 - 1203) + chr(0b1111 + 0o45), 4014 - 4006), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11001 + 0o30) + chr(430 - 381) + chr(0b101010 + 0o10), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(0b110101) + chr(1312 - 1260), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8226 - 8115) + chr(0b110010) + chr(1336 - 1282) + '\x37', 8), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(0b110011) + '\064', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(0b110101) + '\061', 61377 - 61369), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b100010 + 0o23), 0o10), ehT0Px3KOsy9(chr(48) + chr(4696 - 4585) + chr(0b110110) + '\x33', 0b1000), ehT0Px3KOsy9(chr(1561 - 1513) + chr(0b10000 + 0o137) + chr(2088 - 2038) + chr(1197 - 1147) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(1150 - 1039) + '\063' + chr(53), 8), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + chr(49) + chr(48) + chr(761 - 709), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110101) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0'), '\144' + chr(7341 - 7240) + chr(0b1000001 + 0o42) + chr(10345 - 10234) + chr(3872 - 3772) + chr(2117 - 2016))(chr(5496 - 5379) + chr(0b1110100) + '\146' + '\055' + chr(0b101100 + 0o14)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def iHUJLoIFX8UH(m1NkCryOw9Bx, hPO25aARoU07, fGJTemIolll0):
if m1NkCryOw9Bx % fGJTemIolll0 != ehT0Px3KOsy9(chr(1590 - 1542) + chr(0b1011110 + 0o21) + chr(628 - 580), 21323 - 21315):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x80n\xfa(\t\t\xfd\x97\x95]\x1f\x14\xc9\xe0\x9d\xcc\x18y\xe7\xfc\x9d\xa2c(\xe8^\xce\xf2=L\x15\x08\xde\xb1\xf6nZ\xe8xy\xcb7'), chr(0b1100100) + chr(101) + '\143' + chr(0b101111 + 0o100) + chr(100) + chr(0b1100101))(chr(5900 - 5783) + chr(116) + '\146' + chr(0b100010 + 0o13) + chr(0b111000)) % (m1NkCryOw9Bx, fGJTemIolll0))
a39It4XsxVZ1 = tsdjvlgh9gDP(ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31', 28811 - 28803), m1NkCryOw9Bx // hPO25aARoU07)
while a39It4XsxVZ1 % fGJTemIolll0 != ehT0Px3KOsy9('\060' + chr(353 - 242) + chr(0b1111 + 0o41), 8) or m1NkCryOw9Bx % a39It4XsxVZ1 != ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(0b110000), 8):
a39It4XsxVZ1 += ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(8958 - 8847) + chr(49), 8)
Ci8Sw7NtXV49 = m1NkCryOw9Bx // a39It4XsxVZ1
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbdd\x974\\\x03\xe9\x80\x91^1_'), chr(0b10010 + 0o122) + '\x65' + chr(0b100101 + 0o76) + '\x6f' + chr(0b1100100) + chr(101))(chr(0b1010111 + 0o36) + '\x74' + '\x66' + chr(713 - 668) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b"\xb1 \xaf @\x14\xd1\xde\x95F\x04k\xcf\xb2\x9f\xcc\x04~\xa6\xe2\xcc\xe2'k\xae\x13\xc2\xef\x11C8\x03\xc2\xac\xf6nZ\xe8xy\xcb7\xf3lD\x05\xfd\xdf\xa4V\x02Y\xf7\xb3\x99\xc3\x110\xab\xe8\xd8\xe7~g\xa6\x10\xd6\xfa\x11C8\x03\xc2\xac\xda \x16\xf6=#\x9c<\xaa<v\x13\xe7\xcd\x9e\x0fNP\x81"), chr(0b100011 + 0o101) + '\x65' + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(3856 - 3755))('\165' + chr(3645 - 3529) + chr(0b10000 + 0o126) + chr(0b10111 + 0o26) + chr(56)) % (m1NkCryOw9Bx, hPO25aARoU07, fGJTemIolll0, a39It4XsxVZ1, Ci8Sw7NtXV49))
return (a39It4XsxVZ1, Ci8Sw7NtXV49)
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/envs/in_graph_batch_env.py
|
InGraphBatchEnv.reset
|
def reset(self, indices=None):
"""Reset the batch of environments.
Args:
indices: The batch indices of the environments to reset.
Returns:
Batch tensor of the new observations.
"""
return tf.cond(
tf.cast(tf.reduce_sum(indices + 1), tf.bool),
lambda: self._reset_non_empty(indices),
lambda: tf.cast(0, self.observ_dtype))
|
python
|
def reset(self, indices=None):
"""Reset the batch of environments.
Args:
indices: The batch indices of the environments to reset.
Returns:
Batch tensor of the new observations.
"""
return tf.cond(
tf.cast(tf.reduce_sum(indices + 1), tf.bool),
lambda: self._reset_non_empty(indices),
lambda: tf.cast(0, self.observ_dtype))
|
[
"def",
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",",
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"None",
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"return",
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".",
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")",
",",
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",",
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":",
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"(",
"0",
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] |
Reset the batch of environments.
Args:
indices: The batch indices of the environments to reset.
Returns:
Batch tensor of the new observations.
|
[
"Reset",
"the",
"batch",
"of",
"environments",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/envs/in_graph_batch_env.py#L62-L74
|
train
|
Reset the batch of environments.
|
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(9909 - 9798) + '\x33' + '\x36' + chr(0b101101 + 0o4), 23251 - 23243), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + '\063' + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\063' + chr(0b1000 + 0o55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + '\x34' + chr(0b11 + 0o57), 43184 - 43176), ehT0Px3KOsy9(chr(1639 - 1591) + '\157' + '\x31' + chr(2159 - 2107) + '\x36', 35868 - 35860), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + chr(0b101011 + 0o10) + chr(0b110101) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10442 - 10331) + chr(278 - 229) + '\x31' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100 + 0o143) + '\061' + chr(1370 - 1322) + '\067', 4669 - 4661), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + '\x35' + chr(49), 12042 - 12034), ehT0Px3KOsy9(chr(0b110000) + chr(0b110110 + 0o71) + chr(0b10000 + 0o42) + chr(0b110110) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10101 + 0o132) + chr(0b100100 + 0o15) + '\x36' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(982 - 934) + chr(0b101000 + 0o107) + '\x32' + '\062' + chr(0b111 + 0o53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1234 - 1183) + '\x35' + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101 + 0o152) + chr(50) + chr(51) + chr(0b101001 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1672 - 1623) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110000 + 0o77) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(10512 - 10401) + chr(0b110011) + chr(52) + chr(0b11111 + 0o26), 55608 - 55600), ehT0Px3KOsy9(chr(1703 - 1655) + '\x6f' + '\x34' + chr(0b101001 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\061' + chr(1794 - 1743), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010 + 0o145) + chr(0b10101 + 0o41) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\x36' + chr(0b11011 + 0o34), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(1318 - 1268) + chr(0b10101 + 0o42), 0o10), ehT0Px3KOsy9('\060' + chr(2369 - 2258) + chr(0b110000 + 0o1) + '\064' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(0b110010) + chr(51), 0b1000), ehT0Px3KOsy9(chr(995 - 947) + '\x6f' + chr(0b110011) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10505 - 10394) + chr(0b101110 + 0o4) + chr(1160 - 1111) + '\066', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(56 - 5) + chr(0b10101 + 0o40) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + chr(0b1000 + 0o53) + chr(1539 - 1490) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(1652 - 1604) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x34' + chr(1979 - 1928), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111100 + 0o63) + chr(0b100000 + 0o21) + chr(72 - 23) + '\063', 37670 - 37662), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x36' + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(48) + '\065', 18721 - 18713), ehT0Px3KOsy9(chr(1022 - 974) + chr(11217 - 11106) + chr(1919 - 1870) + chr(0b1 + 0o62) + chr(1486 - 1434), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11011 + 0o31) + chr(50), 0o10), ehT0Px3KOsy9(chr(1807 - 1759) + chr(9444 - 9333) + chr(0b100101 + 0o14) + '\x35' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(7912 - 7801) + chr(0b110001) + '\060' + chr(0b1101 + 0o46), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101000 + 0o12) + chr(1845 - 1794), 8), ehT0Px3KOsy9('\060' + chr(111) + '\065' + chr(0b101111 + 0o2), 1782 - 1774)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(53) + chr(112 - 64), 51366 - 51358)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf'), '\x64' + '\145' + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(2390 - 2289))(chr(117) + '\164' + chr(5325 - 5223) + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def G0V856pwkJmZ(oVre8I6UXc3b, pIcoaXENl5Pw=None):
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x926\xb3\x06'), '\144' + chr(0b1011001 + 0o14) + chr(99) + chr(111) + chr(0b1001000 + 0o34) + chr(101))('\x75' + '\x74' + chr(350 - 248) + '\x2d' + '\x38'))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x928\xae\x16'), chr(0b1100100) + chr(101) + '\x63' + '\157' + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(1115 - 1070) + '\x38'))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x83<\xb9\x17\x05\x8d\x164\x1c\xda'), chr(100) + chr(0b1100101) + chr(0b1010111 + 0o14) + chr(111) + chr(3968 - 3868) + '\x65')('\x75' + chr(12688 - 12572) + '\146' + chr(0b101101) + '\x38'))(pIcoaXENl5Pw + ehT0Px3KOsy9(chr(48) + '\157' + '\x31', 8)), xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x936\xb2\x0e'), chr(0b1100100) + chr(0b1100101) + chr(0b1001111 + 0o24) + chr(9067 - 8956) + '\144' + chr(6072 - 5971))(chr(117) + chr(2479 - 2363) + '\146' + '\055' + chr(0b111000)))), lambda : xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xae+\xb8\x11\x03\x9c\x16)\x06\xd9/\xf7\x82\xefxx'), chr(0b1100100) + '\x65' + chr(99) + chr(0b1101111) + chr(9471 - 9371) + chr(0b1100101))(chr(0b100011 + 0o122) + chr(2929 - 2813) + '\x66' + chr(868 - 823) + '\070'))(pIcoaXENl5Pw), lambda : xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x928\xae\x16'), '\x64' + chr(0b11001 + 0o114) + chr(0b1100011) + '\x6f' + chr(4778 - 4678) + chr(8448 - 8347))('\165' + '\x74' + '\146' + chr(45) + '\070'))(ehT0Px3KOsy9(chr(430 - 382) + chr(0b1101111) + chr(85 - 37), ord("\x08")), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e;\xae\x07\x14\x9e\x16#\x1d\xce\x00\xf7'), '\144' + chr(101) + '\143' + chr(2695 - 2584) + chr(0b111000 + 0o54) + chr(101))(chr(0b1100100 + 0o21) + chr(116) + '\x66' + chr(0b10110 + 0o27) + chr(56)))))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/adafactor.py
|
adafactor_decay_rate_adam
|
def adafactor_decay_rate_adam(beta2):
"""Second-moment decay rate like Adam, subsuming the correction factor.
Args:
beta2: a float between 0 and 1
Returns:
a scalar
"""
t = tf.to_float(tf.train.get_or_create_global_step()) + 1.0
decay = beta2 * (1.0 - tf.pow(beta2, t - 1.0)) / (1.0 - tf.pow(beta2, t))
# decay = tf.cond(tf.equal(t, 1.0), lambda: beta2, lambda: decay)
return decay
|
python
|
def adafactor_decay_rate_adam(beta2):
"""Second-moment decay rate like Adam, subsuming the correction factor.
Args:
beta2: a float between 0 and 1
Returns:
a scalar
"""
t = tf.to_float(tf.train.get_or_create_global_step()) + 1.0
decay = beta2 * (1.0 - tf.pow(beta2, t - 1.0)) / (1.0 - tf.pow(beta2, t))
# decay = tf.cond(tf.equal(t, 1.0), lambda: beta2, lambda: decay)
return decay
|
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] |
Second-moment decay rate like Adam, subsuming the correction factor.
Args:
beta2: a float between 0 and 1
Returns:
a scalar
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/adafactor.py#L289-L300
|
train
|
Second - moment decay rate like Adam subsuming the correction factor.
|
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(472 - 424) + '\157' + chr(0b110011) + chr(55) + chr(0b100011 + 0o23), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(1349 - 1300) + chr(1679 - 1628), 27484 - 27476), ehT0Px3KOsy9(chr(48) + chr(2833 - 2722) + chr(2055 - 2006) + '\x33' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(7507 - 7396) + chr(0b101110 + 0o5) + chr(2386 - 2331) + chr(2637 - 2585), 34845 - 34837), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\x30' + '\067', 0o10), ehT0Px3KOsy9(chr(1197 - 1149) + chr(0b10110 + 0o131) + '\x32' + '\x36' + chr(0b110100), 61937 - 61929), ehT0Px3KOsy9(chr(1919 - 1871) + '\157' + '\062' + chr(0b11001 + 0o35), 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(9732 - 9621) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11100 + 0o25) + chr(0b110001) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4846 - 4735) + chr(0b110010) + '\x33' + chr(0b110001), 5491 - 5483), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + '\x32' + chr(0b10100 + 0o36) + chr(1079 - 1031), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1837 - 1726) + chr(1624 - 1573) + '\x36' + chr(50), 8878 - 8870), ehT0Px3KOsy9(chr(865 - 817) + '\x6f' + chr(2212 - 2159) + chr(2526 - 2472), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\065' + chr(539 - 490), 10294 - 10286), ehT0Px3KOsy9(chr(263 - 215) + '\157' + '\x31' + chr(54) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011001 + 0o26) + chr(0b10001 + 0o40) + chr(2063 - 2014) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11001 + 0o31) + '\064' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + chr(0b1000 + 0o53) + chr(2834 - 2779) + chr(1494 - 1446), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(7753 - 7642) + '\061' + '\062' + '\x31', 18200 - 18192), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(50) + '\x34', 0b1000), ehT0Px3KOsy9(chr(996 - 948) + chr(0b1101111) + chr(0b110010) + chr(0b110010) + chr(0b10 + 0o65), ord("\x08")), ehT0Px3KOsy9(chr(107 - 59) + chr(111) + '\x37' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9638 - 9527) + '\x31' + '\062' + chr(0b110110), 9910 - 9902), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1011 + 0o46) + chr(1925 - 1877) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(1862 - 1814) + '\157' + chr(0b10110 + 0o40) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\061' + '\x31', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b1011 + 0o53) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(0b1000000 + 0o57) + chr(50) + chr(0b10110 + 0o32) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(0b110101) + chr(48), 0b1000), ehT0Px3KOsy9(chr(261 - 213) + chr(0b1101111) + '\063' + chr(0b10111 + 0o36) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(4243 - 4132) + chr(1766 - 1715) + '\x34' + chr(0b11100 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(499 - 451) + chr(0b1010100 + 0o33) + chr(0b101110 + 0o10) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + chr(0b100110 + 0o14) + chr(54) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\x36' + chr(2366 - 2314), 8), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + chr(0b110001) + chr(0b110111) + chr(0b101001 + 0o12), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1483 - 1431) + chr(1206 - 1157), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + chr(0b1001 + 0o50) + '\064' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111 + 0o0) + chr(51) + chr(0b110111) + chr(0b100101 + 0o22), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(1404 - 1351) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0'), '\x64' + chr(101) + chr(0b110 + 0o135) + chr(0b1101111) + '\144' + chr(6973 - 6872))(chr(0b100 + 0o161) + chr(116) + chr(0b1100110) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def UDVE70Vw7Yhs(ekqI06bsWDgj):
YeT3l7JgTbWR = IDJ2eXGCBCDu.ZUL3kHBGU8Uu(IDJ2eXGCBCDu.train.get_or_create_global_step()) + 1.0
eeyC5_0F9WOf = ekqI06bsWDgj * (1.0 - IDJ2eXGCBCDu.pow(ekqI06bsWDgj, YeT3l7JgTbWR - 1.0)) / (1.0 - IDJ2eXGCBCDu.pow(ekqI06bsWDgj, YeT3l7JgTbWR))
return eeyC5_0F9WOf
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/adafactor.py
|
adafactor_optimizer_from_hparams
|
def adafactor_optimizer_from_hparams(hparams, lr):
"""Create an Adafactor optimizer based on model hparams.
Args:
hparams: model hyperparameters
lr: learning rate scalar.
Returns:
an AdafactorOptimizer
Raises:
ValueError: on illegal values
"""
if hparams.optimizer_adafactor_decay_type == "adam":
decay_rate = adafactor_decay_rate_adam(
hparams.optimizer_adafactor_beta2)
elif hparams.optimizer_adafactor_decay_type == "pow":
decay_rate = adafactor_decay_rate_pow(
hparams.optimizer_adafactor_memory_exponent)
else:
raise ValueError("unknown optimizer_adafactor_decay_type")
if hparams.weight_dtype == "bfloat16":
parameter_encoding = quantization.EighthPowerEncoding()
else:
parameter_encoding = None
return AdafactorOptimizer(
multiply_by_parameter_scale=(
hparams.optimizer_adafactor_multiply_by_parameter_scale),
learning_rate=lr,
decay_rate=decay_rate,
beta1=hparams.optimizer_adafactor_beta1,
clipping_threshold=hparams.optimizer_adafactor_clipping_threshold,
factored=hparams.optimizer_adafactor_factored,
simulated_quantize_bits=getattr(
hparams, "simulated_parameter_quantize_bits", 0),
parameter_encoding=parameter_encoding,
use_locking=False,
name="Adafactor")
|
python
|
def adafactor_optimizer_from_hparams(hparams, lr):
"""Create an Adafactor optimizer based on model hparams.
Args:
hparams: model hyperparameters
lr: learning rate scalar.
Returns:
an AdafactorOptimizer
Raises:
ValueError: on illegal values
"""
if hparams.optimizer_adafactor_decay_type == "adam":
decay_rate = adafactor_decay_rate_adam(
hparams.optimizer_adafactor_beta2)
elif hparams.optimizer_adafactor_decay_type == "pow":
decay_rate = adafactor_decay_rate_pow(
hparams.optimizer_adafactor_memory_exponent)
else:
raise ValueError("unknown optimizer_adafactor_decay_type")
if hparams.weight_dtype == "bfloat16":
parameter_encoding = quantization.EighthPowerEncoding()
else:
parameter_encoding = None
return AdafactorOptimizer(
multiply_by_parameter_scale=(
hparams.optimizer_adafactor_multiply_by_parameter_scale),
learning_rate=lr,
decay_rate=decay_rate,
beta1=hparams.optimizer_adafactor_beta1,
clipping_threshold=hparams.optimizer_adafactor_clipping_threshold,
factored=hparams.optimizer_adafactor_factored,
simulated_quantize_bits=getattr(
hparams, "simulated_parameter_quantize_bits", 0),
parameter_encoding=parameter_encoding,
use_locking=False,
name="Adafactor")
|
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] |
Create an Adafactor optimizer based on model hparams.
Args:
hparams: model hyperparameters
lr: learning rate scalar.
Returns:
an AdafactorOptimizer
Raises:
ValueError: on illegal values
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/adafactor.py#L318-L353
|
train
|
Create an Adafactor optimizer based on 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(891 - 843) + '\157' + chr(0b100101 + 0o16) + chr(1351 - 1301) + chr(0b110010), 64966 - 64958), ehT0Px3KOsy9(chr(48) + chr(5633 - 5522) + chr(0b101000 + 0o15) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b11111 + 0o120) + chr(84 - 31) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(1331 - 1283) + chr(1021 - 910) + '\x33' + chr(0b110111) + chr(48), 36672 - 36664), ehT0Px3KOsy9('\060' + chr(5630 - 5519) + chr(0b1110 + 0o45) + '\061' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6199 - 6088) + '\x33' + chr(0b110100) + chr(50), 0o10), ehT0Px3KOsy9(chr(1579 - 1531) + '\x6f' + chr(0b110010) + chr(0b1001 + 0o52) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11110 + 0o23) + chr(481 - 432) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(53) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b110110) + chr(2882 - 2827), 27797 - 27789), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(0b1010 + 0o47) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(419 - 369) + '\x32' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b101110 + 0o101) + chr(52 - 0) + chr(1440 - 1392), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + '\x30' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(1445 - 1397) + chr(111) + chr(0b100011 + 0o20) + chr(2041 - 1991) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101 + 0o1), 23011 - 23003), ehT0Px3KOsy9(chr(48) + '\157' + chr(916 - 867) + chr(53) + chr(0b1001 + 0o52), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(671 - 622) + '\063' + chr(2285 - 2237), 0o10), ehT0Px3KOsy9(chr(1123 - 1075) + chr(111) + chr(0b110001) + '\x35' + chr(952 - 900), 62584 - 62576), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + chr(2347 - 2297) + '\066' + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b10110 + 0o131) + chr(0b101001 + 0o12) + chr(0b10111 + 0o40) + '\x30', 8), ehT0Px3KOsy9(chr(1891 - 1843) + '\x6f' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10000 + 0o137) + chr(0b110001) + chr(0b111 + 0o60) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(2361 - 2312) + '\067', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + '\x31' + chr(48), 39805 - 39797), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1220 - 1168) + chr(51), 0b1000), ehT0Px3KOsy9(chr(1906 - 1858) + chr(6442 - 6331) + '\062' + chr(0b110001) + chr(1188 - 1138), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10110 + 0o33) + chr(1747 - 1692), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110110) + '\062', 31701 - 31693), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + chr(0b110001) + chr(888 - 838), 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(0b110011) + chr(0b110011) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b110110) + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(11184 - 11073) + '\063' + '\062' + chr(108 - 60), 0b1000), ehT0Px3KOsy9(chr(2235 - 2187) + '\157' + '\x32' + '\x30' + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(2251 - 2202) + chr(1242 - 1194) + chr(49), 8), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + '\x32', 32924 - 32916), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b11011 + 0o25), 49339 - 49331), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(0b110010) + chr(299 - 245) + chr(0b10001 + 0o40), 8), ehT0Px3KOsy9(chr(644 - 596) + chr(224 - 113) + chr(0b110011) + chr(49) + chr(0b100101 + 0o22), 8), ehT0Px3KOsy9('\x30' + chr(9917 - 9806) + '\x32' + chr(54), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(6843 - 6732) + '\065' + '\060', 21718 - 21710)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc'), chr(100) + '\x65' + chr(0b1100011) + '\x6f' + chr(100) + chr(101))('\x75' + chr(116) + '\146' + chr(0b101101) + chr(159 - 103)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def bJMTRlvKT8QL(n4ljua2gi1Pr, Zzs55KO_HKfp):
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8`m\xc8\xa5\xa7\xff7\x82\x07\xb5\xea'), chr(0b1100100) + chr(101) + '\143' + '\157' + '\x64' + chr(0b1100101))(chr(6466 - 6349) + '\164' + chr(1205 - 1103) + '\x2d' + '\070')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3IM\x95'), chr(100) + chr(0b1000010 + 0o43) + chr(0b100011 + 0o100) + '\x6f' + chr(0b111010 + 0o52) + '\145')(chr(117) + chr(116) + '\x66' + chr(145 - 100) + chr(0b111000)):
ysg2zuLaUZLS = UDVE70Vw7Yhs(n4ljua2gi1Pr.Ebzl6yQubDBv)
elif xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8`m\xc8\xa5\xa7\xff7\x82\x07\xb5\xea'), chr(100) + chr(0b111101 + 0o50) + chr(99) + '\157' + chr(0b1100100) + '\145')(chr(117) + '\x74' + '\146' + chr(0b101001 + 0o4) + '\070')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2B['), '\144' + '\x65' + chr(9595 - 9496) + chr(0b1001001 + 0o46) + '\144' + '\145')(chr(117) + chr(11775 - 11659) + chr(0b101110 + 0o70) + chr(45) + chr(0b111000)):
ysg2zuLaUZLS = MpCXBs1Mc0ij(n4ljua2gi1Pr.optimizer_adafactor_memory_exponent)
else:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7CG\x96\xa0\x95\xf2m\x85\x07\xf8\xfaM(\xacc\x19\x07\r\xd5\x99c\x18l\xfcL\xf8PVo\xb9\xd6\xa9\xd95{x\xd4'), chr(0b1001110 + 0o26) + chr(5108 - 5007) + chr(99) + chr(10185 - 10074) + chr(0b1100100) + chr(0b1100101))('\165' + chr(0b1011001 + 0o33) + '\146' + chr(0b101 + 0o50) + '\x38'))
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x84li\x9b\xa3\xb0\xf1\x12\x9dD\xe0\xd7'), '\144' + '\145' + chr(0b1100011) + '\157' + '\x64' + chr(0b1100101))('\x75' + '\x74' + chr(0b1100110) + chr(787 - 742) + '\070')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0K@\x97\xae\x96\xad{'), chr(0b1100100) + chr(101) + '\143' + chr(3005 - 2894) + '\144' + '\145')('\165' + '\x74' + chr(8019 - 7917) + '\x2d' + '\070'):
R0opAiQ1oXfw = YFQozyTJ9pXI.EighthPowerEncoding()
else:
R0opAiQ1oXfw = None
return c1JiKxOJmZTn(multiply_by_parameter_scale=xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b"\x84rX\x8d\x8d\x90\xe5'\xba\x03\xcf\xe3"), chr(0b1100100) + chr(0b1100101) + '\x63' + '\x6f' + '\x64' + chr(0b1100101))(chr(0b110000 + 0o105) + '\164' + chr(7204 - 7102) + chr(45) + chr(2906 - 2850))), learning_rate=Zzs55KO_HKfp, decay_rate=ysg2zuLaUZLS, beta1=xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9ezx\xa0\xa7\xb6\xaf~\xdd\x12\xd5\xa6'), '\x64' + chr(4759 - 4658) + chr(99) + chr(0b1101111) + chr(0b110011 + 0o61) + '\x65')('\165' + chr(0b1110100) + chr(0b110010 + 0o64) + chr(45) + chr(1563 - 1507))), clipping_threshold=xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x96L]\xab\x88\x94\xa5$\x9b\x14\xdb\xfc'), chr(177 - 77) + chr(101) + chr(0b1100011) + '\x6f' + chr(100) + chr(0b11000 + 0o115))(chr(0b1100110 + 0o17) + chr(116) + chr(102) + chr(1792 - 1747) + '\070')), factored=xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8l|\xb1\xac\x96\xf0z\x8e\x1b\xbc\xeb'), '\x64' + '\x65' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b1010001 + 0o24))(chr(0b1110101) + chr(116) + chr(0b1100110) + '\055' + chr(322 - 266))), simulated_quantize_bits=xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1DA\x8d\xa3\x83\xe8(\x8e(\xfc\xf2R \xbbc\x1f=\x1e\xee\x89p\x18a\xfcJ\xf0jmh\xb3\xc3\xa3'), '\144' + chr(0b111110 + 0o47) + chr(0b11100 + 0o107) + '\157' + chr(0b1100100) + chr(0b1001000 + 0o35))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(45) + chr(56)), ehT0Px3KOsy9(chr(0b110000) + chr(9897 - 9786) + '\x30', ord("\x08"))), parameter_encoding=R0opAiQ1oXfw, use_locking=ehT0Px3KOsy9(chr(1837 - 1789) + chr(7327 - 7216) + '\060', 8), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x93IM\x9e\xae\x81\xe8"\x98'), '\144' + chr(101) + chr(595 - 496) + chr(7205 - 7094) + '\x64' + chr(101))('\165' + chr(116) + chr(0b100010 + 0o104) + chr(730 - 685) + '\x38'))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/registry.py
|
_nargs_validator
|
def _nargs_validator(nargs, message):
"""Makes validator for function to ensure it takes nargs args."""
if message is None:
message = "Registered function must take exactly %d arguments" % nargs
def f(key, value):
del key
spec = inspect.getfullargspec(value)
if (len(spec.args) != nargs or spec.varargs is not None or
spec.varkw is not None):
raise ValueError(message)
return f
|
python
|
def _nargs_validator(nargs, message):
"""Makes validator for function to ensure it takes nargs args."""
if message is None:
message = "Registered function must take exactly %d arguments" % nargs
def f(key, value):
del key
spec = inspect.getfullargspec(value)
if (len(spec.args) != nargs or spec.varargs is not None or
spec.varkw is not None):
raise ValueError(message)
return f
|
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] |
Makes validator for function to ensure it takes nargs args.
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/registry.py#L287-L299
|
train
|
Makes validator for function to ensure it takes nargs args.
|
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(1927 - 1879) + chr(0b100001 + 0o116) + chr(2040 - 1988) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(52) + chr(717 - 666), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(1049 - 1000) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(0b110101) + chr(0b101001 + 0o7), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(4751 - 4640) + chr(0b110010) + '\062' + chr(0b10 + 0o61), ord("\x08")), ehT0Px3KOsy9(chr(87 - 39) + chr(2250 - 2139) + chr(0b110010) + chr(0b110000) + chr(0b10000 + 0o42), 12852 - 12844), ehT0Px3KOsy9(chr(48) + chr(111) + chr(510 - 460) + chr(0b100101 + 0o22) + chr(54), 14353 - 14345), ehT0Px3KOsy9('\x30' + chr(8627 - 8516) + chr(0b11111 + 0o22) + chr(0b110100) + chr(49), 14323 - 14315), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100110 + 0o15) + chr(0b10111 + 0o36) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1011000 + 0o27) + chr(0b110001) + chr(51) + chr(0b110011), 57521 - 57513), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b101011 + 0o10) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(53) + chr(0b101100 + 0o4), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\066' + '\067', 10164 - 10156), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(50) + chr(2181 - 2130), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2533 - 2481) + chr(1353 - 1298), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\061', 58943 - 58935), ehT0Px3KOsy9(chr(245 - 197) + '\x6f' + '\062' + chr(0b10000 + 0o40) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + '\062' + chr(0b1001 + 0o55) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2069 - 2020) + chr(1321 - 1268) + chr(0b10011 + 0o37), 14114 - 14106), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(6881 - 6770) + chr(0b101110 + 0o10) + chr(400 - 346), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(0b110111) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(55) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + chr(0b110010) + chr(50) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(55) + chr(2427 - 2373), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(1747 - 1699), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + '\062' + chr(0b110110) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1010011 + 0o34) + '\062' + chr(50) + chr(955 - 904), 8), ehT0Px3KOsy9(chr(982 - 934) + chr(0b1101111) + chr(51) + chr(0b110000) + '\x35', 55649 - 55641), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\x30' + chr(52), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b111 + 0o53) + chr(51) + chr(857 - 808), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(55) + chr(0b110 + 0o52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\x37' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(4372 - 4261) + chr(76 - 25) + chr(86 - 35) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b1 + 0o65) + chr(2444 - 2389), 8), ehT0Px3KOsy9('\x30' + chr(9892 - 9781) + chr(55) + chr(54), 61264 - 61256), ehT0Px3KOsy9(chr(841 - 793) + chr(111) + chr(715 - 664) + chr(1562 - 1510) + chr(0b11110 + 0o26), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(52) + '\x33', 8), ehT0Px3KOsy9('\x30' + chr(2654 - 2543) + chr(1616 - 1565) + chr(2166 - 2116) + '\x30', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x35' + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f'), chr(0b1100100) + '\x65' + chr(5447 - 5348) + chr(111) + chr(1036 - 936) + chr(4481 - 4380))('\165' + chr(0b1110100) + '\x66' + chr(0b101101) + chr(987 - 931)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def xBxpjf0fmjTc(IUCyp0tGdVND, R2mbIkZzeu1B):
if R2mbIkZzeu1B is None:
R2mbIkZzeu1B = xafqLlk3kkUe(SXOLrMavuUCe(b'sF\xab\xc1\xe0\xf6\xdb\x13\x8c?\xffN\x02=Du\xed\xde\x04\x16\x97\x0c\xe2\xca0~\xd6\xf8\xa0\xa4\xfc\x00\x99\xba\xc3R\x9d#\x06\xb4\x01B\xbe\xcf\xe6\xef\xdb\x0f\x9d('), chr(0b1100001 + 0o3) + chr(101) + chr(0b1100011) + chr(111) + '\144' + chr(0b1100101))(chr(0b111011 + 0o72) + chr(0b1110100) + '\146' + '\x2d' + chr(0b100 + 0o64)) % IUCyp0tGdVND
def EGyt1xfPT1P6(K3J4ZwSlE0sT, QmmgWUB13VCJ):
del K3J4ZwSlE0sT
IH4wfF5htxM9 = kzXqv8ZZwm75.getfullargspec(QmmgWUB13VCJ)
if c2A0yzQpDQB3(xafqLlk3kkUe(IH4wfF5htxM9, xafqLlk3kkUe(SXOLrMavuUCe(b'Ji\x88\xfa\xf5\xd0\xd6\x02\xb3\x13\xb5{'), chr(0b1100100) + chr(0b1011011 + 0o12) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b1110100) + '\146' + '\055' + chr(56)))) != IUCyp0tGdVND or xafqLlk3kkUe(IH4wfF5htxM9, xafqLlk3kkUe(SXOLrMavuUCe(b'WB\xbe\xc9\xe1\xe5\xcd'), '\144' + chr(0b1100101) + '\x63' + '\x6f' + '\x64' + '\145')(chr(0b1110101) + chr(116) + '\146' + chr(672 - 627) + '\070')) is not None or xafqLlk3kkUe(IH4wfF5htxM9, xafqLlk3kkUe(SXOLrMavuUCe(b'WB\xbe\xc3\xe4'), '\x64' + chr(0b110001 + 0o64) + chr(6319 - 6220) + chr(111) + chr(6994 - 6894) + chr(101))(chr(2461 - 2344) + chr(904 - 788) + chr(3165 - 3063) + chr(1859 - 1814) + chr(0b111000))) is not None:
raise q1QCh3W88sgk(R2mbIkZzeu1B)
return EGyt1xfPT1P6
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/registry.py
|
parse_problem_name
|
def parse_problem_name(name):
"""Determines if problem_name specifies a copy and/or reversal.
Args:
name: str, problem name, possibly with suffixes.
Returns:
ProblemSpec: namedtuple with ["base_name", "was_reversed", "was_copy"]
Raises:
ValueError if name contains multiple suffixes of the same type
('_rev' or '_copy'). One of each is ok.
"""
# Recursively strip tags until we reach a base name.
if name.endswith("_rev"):
base, was_reversed, was_copy = parse_problem_name(name[:-4])
if was_reversed:
# duplicate rev
raise ValueError(
"Invalid problem name %s: multiple '_rev' instances" % name)
return ProblemSpec(base, True, was_copy)
elif name.endswith("_copy"):
base, was_reversed, was_copy = parse_problem_name(name[:-5])
if was_copy:
raise ValueError(
"Invalid problem_name %s: multiple '_copy' instances" % name)
return ProblemSpec(base, was_reversed, True)
else:
return ProblemSpec(name, False, False)
|
python
|
def parse_problem_name(name):
"""Determines if problem_name specifies a copy and/or reversal.
Args:
name: str, problem name, possibly with suffixes.
Returns:
ProblemSpec: namedtuple with ["base_name", "was_reversed", "was_copy"]
Raises:
ValueError if name contains multiple suffixes of the same type
('_rev' or '_copy'). One of each is ok.
"""
# Recursively strip tags until we reach a base name.
if name.endswith("_rev"):
base, was_reversed, was_copy = parse_problem_name(name[:-4])
if was_reversed:
# duplicate rev
raise ValueError(
"Invalid problem name %s: multiple '_rev' instances" % name)
return ProblemSpec(base, True, was_copy)
elif name.endswith("_copy"):
base, was_reversed, was_copy = parse_problem_name(name[:-5])
if was_copy:
raise ValueError(
"Invalid problem_name %s: multiple '_copy' instances" % name)
return ProblemSpec(base, was_reversed, True)
else:
return ProblemSpec(name, False, False)
|
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] |
Determines if problem_name specifies a copy and/or reversal.
Args:
name: str, problem name, possibly with suffixes.
Returns:
ProblemSpec: namedtuple with ["base_name", "was_reversed", "was_copy"]
Raises:
ValueError if name contains multiple suffixes of the same type
('_rev' or '_copy'). One of each is ok.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/registry.py#L306-L334
|
train
|
Determines if a problem name specifies a copy and or reversal.
|
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(4895 - 4784) + '\063' + chr(774 - 719) + chr(0b110110), 9156 - 9148), ehT0Px3KOsy9(chr(1377 - 1329) + chr(111) + chr(0b110011) + '\x32' + '\064', 57160 - 57152), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + chr(51) + '\x33' + chr(0b110010 + 0o5), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100001 + 0o16) + chr(1965 - 1916) + chr(1324 - 1270) + chr(0b11111 + 0o24), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + chr(0b101111 + 0o2) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b10101 + 0o37) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + '\064' + chr(0b1110 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4318 - 4207) + chr(579 - 530) + chr(0b0 + 0o65) + chr(0b11100 + 0o26), 0o10), ehT0Px3KOsy9('\x30' + chr(0b101110 + 0o101) + chr(0b110010) + '\x35' + chr(765 - 710), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(0b11010 + 0o32) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b1101 + 0o43), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + '\x35' + chr(0b1 + 0o65), ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(0b110001) + chr(0b110101) + chr(2009 - 1957), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(11546 - 11435) + chr(0b101010 + 0o7) + chr(1628 - 1574) + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(52) + '\065', 4233 - 4225), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(1062 - 1012) + chr(0b110111) + chr(52), 42797 - 42789), ehT0Px3KOsy9(chr(48) + chr(0b1000010 + 0o55) + chr(49) + '\x35' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(8343 - 8232) + '\061' + chr(1999 - 1949) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(2201 - 2153) + '\157' + chr(0b110001) + chr(882 - 831) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(7148 - 7037) + chr(1165 - 1116) + chr(0b101100 + 0o4) + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(53) + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(2714 - 2603) + '\x31' + '\x37' + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(11647 - 11536) + chr(0b110110) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8668 - 8557) + '\x36' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4970 - 4859) + chr(0b110011) + chr(0b110101) + chr(0b1010 + 0o50), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(0b110011) + chr(0b110101), 45755 - 45747), ehT0Px3KOsy9('\060' + chr(111) + chr(1184 - 1129) + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(0b11111 + 0o120) + chr(1287 - 1236) + chr(1728 - 1676) + chr(572 - 523), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010110 + 0o31) + chr(0b110010) + chr(0b10101 + 0o34) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11 + 0o60) + chr(0b111 + 0o54) + '\x30', 0o10), ehT0Px3KOsy9(chr(893 - 845) + chr(0b10011 + 0o134) + chr(0b11100 + 0o26) + chr(55) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(978 - 930) + '\x6f' + chr(0b10011 + 0o41) + '\x37', 3903 - 3895), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\061' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + '\x31' + chr(51) + chr(0b0 + 0o63), ord("\x08")), ehT0Px3KOsy9(chr(836 - 788) + chr(12235 - 12124) + '\062' + '\066' + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b0 + 0o62) + chr(0b110111) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + chr(54) + '\x34', 0b1000), ehT0Px3KOsy9(chr(2196 - 2148) + '\x6f' + chr(0b110010) + '\x32' + chr(386 - 333), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(9765 - 9654) + '\062' + chr(0b110111) + chr(0b11001 + 0o33), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(1969 - 1920) + '\x30', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(53) + '\x30', 60233 - 60225)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0'), chr(0b10011 + 0o121) + chr(9039 - 8938) + chr(99) + '\x6f' + chr(5557 - 5457) + '\145')(chr(117) + '\164' + '\146' + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GvxToAaBPbjg(AIvJRzLdDfgF):
if xafqLlk3kkUe(AIvJRzLdDfgF, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\xba\xbb\x00{\x8a\x92\x02'), chr(0b1 + 0o143) + '\145' + '\143' + '\x6f' + '\x64' + '\145')('\x75' + '\x74' + chr(102) + chr(0b101101) + chr(2840 - 2784)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1\xa6\xba\x05'), chr(0b1010001 + 0o23) + '\145' + chr(0b11110 + 0o105) + '\x6f' + chr(0b11011 + 0o111) + '\145')(chr(117) + chr(116) + chr(0b1101 + 0o131) + chr(45) + '\070')):
(XLXqkmM_0GVx, CvzTzbr5MGz4, zg_4HQZzGKi4) = GvxToAaBPbjg(AIvJRzLdDfgF[:-ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(8175 - 8064) + chr(1310 - 1258), 13239 - 13231)])
if CvzTzbr5MGz4:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\xba\xa9\x12`\x8a\x82J\xdf\x11\x7f\xcc\x00\x13H\x9c\x0667$\x89ZD\x0f\xca\xf0L\x8d\xfb\xb1\xcfK+{\x92\xe2F\xf0\xca\xaf\xde\xbd\xb1\x00x\x82\x88\t\xca\x10'), '\x64' + chr(101) + chr(5944 - 5845) + chr(0b1101111) + chr(100) + chr(4581 - 4480))('\165' + chr(116) + chr(0b110000 + 0o66) + chr(45) + chr(0b111000)) % AIvJRzLdDfgF)
return HkTnBg27hocd(XLXqkmM_0GVx, ehT0Px3KOsy9('\x30' + '\x6f' + chr(1794 - 1745), ord("\x08")), zg_4HQZzGKi4)
elif xafqLlk3kkUe(AIvJRzLdDfgF, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\xba\xbb\x00{\x8a\x92\x02'), chr(0b101000 + 0o74) + '\x65' + '\x63' + '\x6f' + chr(7420 - 7320) + '\x65')(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(437 - 392) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1\xb7\xb0\x03u'), chr(100) + chr(101) + chr(0b1100011) + '\157' + chr(100) + chr(0b10101 + 0o120))(chr(0b1010111 + 0o36) + chr(116) + '\146' + '\x2d' + chr(0b100100 + 0o24))):
(XLXqkmM_0GVx, CvzTzbr5MGz4, zg_4HQZzGKi4) = GvxToAaBPbjg(AIvJRzLdDfgF[:-ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101000 + 0o15), 36726 - 36718)])
if zg_4HQZzGKi4:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\xba\xa9\x12`\x8a\x82J\xdf\x11\x7f\xcc\x00\x13H\xe3\x0667$\x89ZD\x0f\xca\xf0L\x8d\xfb\xb1\xcfK+{\x92\xe2W\xfa\xcc\xf1\xd9\xf4\xb6\x1d\x7f\x97\x87\x04\xcc\x06c'), chr(0b1000011 + 0o41) + chr(0b1100101) + chr(170 - 71) + chr(0b1001100 + 0o43) + chr(0b111110 + 0o46) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b101010 + 0o16)) % AIvJRzLdDfgF)
return HkTnBg27hocd(XLXqkmM_0GVx, CvzTzbr5MGz4, ehT0Px3KOsy9('\x30' + '\x6f' + '\061', 8))
else:
return HkTnBg27hocd(AIvJRzLdDfgF, ehT0Px3KOsy9(chr(48) + chr(111) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + '\060', 8))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/registry.py
|
get_problem_name
|
def get_problem_name(base_name, was_reversed=False, was_copy=False):
"""Construct a problem name from base and reversed/copy options.
Inverse of `parse_problem_name`.
Args:
base_name: base problem name. Should not end in "_rev" or "_copy"
was_reversed: if the problem is to be reversed
was_copy: if the problem is to be copied
Returns:
string name consistent with use with `parse_problem_name`.
Raises:
ValueError if `base_name` ends with "_rev" or "_copy"
"""
if any(base_name.endswith(suffix) for suffix in ("_rev", "_copy")):
raise ValueError("`base_name` cannot end in '_rev' or '_copy'")
name = base_name
if was_copy:
name = "%s_copy" % name
if was_reversed:
name = "%s_rev" % name
return name
|
python
|
def get_problem_name(base_name, was_reversed=False, was_copy=False):
"""Construct a problem name from base and reversed/copy options.
Inverse of `parse_problem_name`.
Args:
base_name: base problem name. Should not end in "_rev" or "_copy"
was_reversed: if the problem is to be reversed
was_copy: if the problem is to be copied
Returns:
string name consistent with use with `parse_problem_name`.
Raises:
ValueError if `base_name` ends with "_rev" or "_copy"
"""
if any(base_name.endswith(suffix) for suffix in ("_rev", "_copy")):
raise ValueError("`base_name` cannot end in '_rev' or '_copy'")
name = base_name
if was_copy:
name = "%s_copy" % name
if was_reversed:
name = "%s_rev" % name
return name
|
[
"def",
"get_problem_name",
"(",
"base_name",
",",
"was_reversed",
"=",
"False",
",",
"was_copy",
"=",
"False",
")",
":",
"if",
"any",
"(",
"base_name",
".",
"endswith",
"(",
"suffix",
")",
"for",
"suffix",
"in",
"(",
"\"_rev\"",
",",
"\"_copy\"",
")",
")",
":",
"raise",
"ValueError",
"(",
"\"`base_name` cannot end in '_rev' or '_copy'\"",
")",
"name",
"=",
"base_name",
"if",
"was_copy",
":",
"name",
"=",
"\"%s_copy\"",
"%",
"name",
"if",
"was_reversed",
":",
"name",
"=",
"\"%s_rev\"",
"%",
"name",
"return",
"name"
] |
Construct a problem name from base and reversed/copy options.
Inverse of `parse_problem_name`.
Args:
base_name: base problem name. Should not end in "_rev" or "_copy"
was_reversed: if the problem is to be reversed
was_copy: if the problem is to be copied
Returns:
string name consistent with use with `parse_problem_name`.
Raises:
ValueError if `base_name` ends with "_rev" or "_copy"
|
[
"Construct",
"a",
"problem",
"name",
"from",
"base",
"and",
"reversed",
"/",
"copy",
"options",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/registry.py#L337-L360
|
train
|
Construct a problem name from base and reversed options.
|
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(938 - 890) + chr(0b1101111) + '\062' + chr(0b101100 + 0o4) + '\x30', 7316 - 7308), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(682 - 632) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b110011) + chr(49), 50985 - 50977), ehT0Px3KOsy9(chr(160 - 112) + chr(0b1101111) + chr(1574 - 1523) + '\060' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + chr(9821 - 9710) + '\x31' + chr(2478 - 2425), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(1461 - 1406), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6794 - 6683) + chr(91 - 41) + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101000 + 0o107) + chr(2608 - 2554) + chr(1274 - 1219), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101111 + 0o3) + '\x36' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1001111 + 0o40) + '\x32' + chr(52) + chr(50), 7853 - 7845), ehT0Px3KOsy9(chr(597 - 549) + '\x6f' + chr(0b11010 + 0o30) + chr(1224 - 1176) + chr(0b101110 + 0o7), 45819 - 45811), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1302 - 1253) + chr(54) + chr(674 - 624), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10272 - 10161) + chr(0b110000 + 0o1) + chr(2297 - 2242) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\x33' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(53) + chr(0b1111 + 0o43), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11101 + 0o122) + '\062' + chr(0b110101) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b100001 + 0o116) + '\061' + chr(0b110011) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11 + 0o57) + chr(0b10000 + 0o47) + chr(0b100001 + 0o22), 20623 - 20615), ehT0Px3KOsy9(chr(925 - 877) + chr(0b10 + 0o155) + chr(0b110001 + 0o1) + chr(49) + chr(0b110101), 42087 - 42079), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(1671 - 1620) + chr(2409 - 2354) + chr(0b100111 + 0o15), 24098 - 24090), ehT0Px3KOsy9('\060' + chr(7738 - 7627) + chr(0b100 + 0o55) + '\062' + chr(0b1011 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(0b110101) + chr(0b100111 + 0o16), 0b1000), ehT0Px3KOsy9('\x30' + chr(4198 - 4087) + chr(733 - 684) + chr(1347 - 1298) + chr(0b1000 + 0o51), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b110110) + chr(991 - 942), 4968 - 4960), ehT0Px3KOsy9(chr(48) + chr(0b1 + 0o156) + chr(0b110010 + 0o0) + chr(52) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + '\061' + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(756 - 703) + chr(2009 - 1958), 0o10), ehT0Px3KOsy9(chr(209 - 161) + '\x6f' + chr(51) + '\064' + chr(2641 - 2588), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(50) + chr(0b10 + 0o64), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110101) + '\062', 36397 - 36389), ehT0Px3KOsy9('\060' + chr(0b100010 + 0o115) + chr(520 - 469) + chr(756 - 701) + chr(50), 49247 - 49239), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + chr(2197 - 2148) + chr(0b110010) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + chr(50) + chr(55) + chr(564 - 515), 0b1000), ehT0Px3KOsy9('\060' + chr(0b11010 + 0o125) + chr(0b110011) + chr(0b110000) + chr(1445 - 1391), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(1468 - 1418) + chr(171 - 119) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(1901 - 1846) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4679 - 4568) + chr(0b110111) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(7375 - 7264) + chr(0b1011 + 0o51) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000010 + 0o55) + '\065' + '\x31', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(0b110101) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xae'), chr(0b11111 + 0o105) + chr(0b11011 + 0o112) + chr(0b10110 + 0o115) + '\x6f' + '\x64' + chr(101))(chr(0b1110101) + chr(116) + chr(0b110001 + 0o65) + chr(0b100111 + 0o6) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def SpQacQW9HBio(bocuNe1Ff3iq, CvzTzbr5MGz4=ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + chr(0b110000), 0o10), zg_4HQZzGKi4=ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110000), 8)):
if UVSi4XW7eBIM((xafqLlk3kkUe(bocuNe1Ff3iq, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5{\xfd\xb3zfb_'), chr(0b110101 + 0o57) + chr(4756 - 4655) + chr(0b1000111 + 0o34) + chr(111) + chr(0b1000001 + 0o43) + chr(101))(chr(117) + '\164' + chr(0b100101 + 0o101) + chr(0b100111 + 0o6) + chr(1012 - 956)))(YhhkyMvxPIjH) for YhhkyMvxPIjH in (xafqLlk3kkUe(SXOLrMavuUCe(b'\xdfg\xfc\xb6'), chr(9104 - 9004) + chr(3346 - 3245) + '\x63' + '\x6f' + '\x64' + '\145')('\165' + '\x74' + chr(0b1011011 + 0o13) + chr(0b100 + 0o51) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xdfv\xf6\xb0t'), chr(0b1100100) + chr(0b1100101) + chr(0b11110 + 0o105) + chr(0b1101111) + chr(100) + chr(0b1100101))('\x75' + chr(9459 - 9343) + chr(102) + chr(1875 - 1830) + chr(0b10011 + 0o45))))):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0w\xf8\xb3hPxV\xdc\xc7\xe5R\x1f;\x84\xc67\xcf\xad\x99>Ii\x18\xc9\xae\x8c\xba$O\x8cv\x99\xa9\xd4%^g@F\xf0l\xbe'), chr(7061 - 6961) + chr(4843 - 4742) + '\143' + '\x6f' + chr(0b1100100) + chr(0b100011 + 0o102))(chr(8216 - 8099) + '\164' + chr(0b1100110) + '\055' + chr(0b111000)))
AIvJRzLdDfgF = bocuNe1Ff3iq
if zg_4HQZzGKi4:
AIvJRzLdDfgF = xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5f\xc6\xa3b\x7fo'), chr(0b1100100) + '\x65' + chr(0b0 + 0o143) + chr(111) + '\x64' + chr(0b110010 + 0o63))(chr(0b1000 + 0o155) + chr(0b1110100) + chr(1442 - 1340) + chr(831 - 786) + chr(56)) % AIvJRzLdDfgF
if CvzTzbr5MGz4:
AIvJRzLdDfgF = xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5f\xc6\xb2hy'), '\x64' + chr(0b10110 + 0o117) + chr(0b1100011) + chr(3472 - 3361) + chr(0b1001111 + 0o25) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(10370 - 10268) + chr(45) + chr(56)) % AIvJRzLdDfgF
return AIvJRzLdDfgF
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/registry.py
|
optimizer
|
def optimizer(name):
"""Get pre-registered optimizer keyed by name.
`name` should be snake case, though SGD -> sgd, RMSProp -> rms_prop and
UpperCamelCase -> snake_case conversions included for legacy support.
Args:
name: name of optimizer used in registration. This should be a snake case
identifier, though others supported for legacy reasons.
Returns:
optimizer
"""
warn_msg = ("Please update `registry.optimizer` callsite "
"(likely due to a `HParams.optimizer` value)")
if name == "SGD":
name = "sgd"
tf.logging.warning("'SGD' optimizer now keyed by 'sgd'. %s" % warn_msg)
elif name == "RMSProp":
name = "rms_prop"
tf.logging.warning(
"'RMSProp' optimizer now keyed by 'rms_prop'. %s" % warn_msg)
else:
snake_name = misc_utils.camelcase_to_snakecase(name)
if name != snake_name:
tf.logging.warning(
"optimizer names now keyed by snake_case names. %s" % warn_msg)
name = snake_name
return Registries.optimizers[name]
|
python
|
def optimizer(name):
"""Get pre-registered optimizer keyed by name.
`name` should be snake case, though SGD -> sgd, RMSProp -> rms_prop and
UpperCamelCase -> snake_case conversions included for legacy support.
Args:
name: name of optimizer used in registration. This should be a snake case
identifier, though others supported for legacy reasons.
Returns:
optimizer
"""
warn_msg = ("Please update `registry.optimizer` callsite "
"(likely due to a `HParams.optimizer` value)")
if name == "SGD":
name = "sgd"
tf.logging.warning("'SGD' optimizer now keyed by 'sgd'. %s" % warn_msg)
elif name == "RMSProp":
name = "rms_prop"
tf.logging.warning(
"'RMSProp' optimizer now keyed by 'rms_prop'. %s" % warn_msg)
else:
snake_name = misc_utils.camelcase_to_snakecase(name)
if name != snake_name:
tf.logging.warning(
"optimizer names now keyed by snake_case names. %s" % warn_msg)
name = snake_name
return Registries.optimizers[name]
|
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")",
"name",
"=",
"snake_name",
"return",
"Registries",
".",
"optimizers",
"[",
"name",
"]"
] |
Get pre-registered optimizer keyed by name.
`name` should be snake case, though SGD -> sgd, RMSProp -> rms_prop and
UpperCamelCase -> snake_case conversions included for legacy support.
Args:
name: name of optimizer used in registration. This should be a snake case
identifier, though others supported for legacy reasons.
Returns:
optimizer
|
[
"Get",
"pre",
"-",
"registered",
"optimizer",
"keyed",
"by",
"name",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/registry.py#L435-L463
|
train
|
Get pre - registered optimizer keyed by name.
|
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(0b110011 + 0o3) + chr(0b111 + 0o56), 0o10), ehT0Px3KOsy9('\060' + chr(2183 - 2072) + chr(1964 - 1915) + chr(1018 - 964) + chr(739 - 691), 3746 - 3738), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(48) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(284 - 234) + chr(0b110011) + chr(0b110000), 36731 - 36723), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + '\x37' + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11892 - 11781) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101 + 0o56) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b110100) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111 + 0o0) + '\061' + chr(55) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1294 - 1246) + '\157' + '\x32' + chr(53) + chr(2803 - 2749), 43195 - 43187), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(48) + '\x37', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110111) + chr(50), 23617 - 23609), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\061' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + '\065' + '\x36', 20621 - 20613), ehT0Px3KOsy9('\060' + chr(111) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(9096 - 8985) + '\061' + chr(57 - 9) + chr(1033 - 983), 15961 - 15953), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + '\x31' + '\x35' + chr(0b1011 + 0o46), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(54) + '\063', 37586 - 37578), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110 + 0o55) + chr(49) + chr(0b11011 + 0o34), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b110010) + '\061', 1187 - 1179), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\x30' + chr(52), 14464 - 14456), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + '\x36', 64165 - 64157), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(9666 - 9555) + '\062' + chr(0b110010) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(485 - 437) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(934 - 886) + '\x6f' + chr(0b1100 + 0o46) + '\x37' + chr(936 - 884), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2365 - 2310) + '\064', 60069 - 60061), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x34' + '\x34', 0o10), ehT0Px3KOsy9(chr(380 - 332) + chr(0b1101111) + chr(2305 - 2255) + '\066' + chr(48), 48374 - 48366), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b110010) + chr(0b11001 + 0o27), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\066' + chr(53), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\x36' + '\x37', 8431 - 8423), ehT0Px3KOsy9(chr(1546 - 1498) + chr(0b1101111) + chr(1340 - 1290) + '\064' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(593 - 545) + '\157' + chr(0b1111 + 0o44) + chr(49) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\x34' + chr(2813 - 2758), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110000 + 0o77) + '\064' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(0b1100 + 0o45) + chr(48) + chr(49), 8), ehT0Px3KOsy9(chr(1453 - 1405) + chr(0b1101101 + 0o2) + '\x31' + chr(0b10111 + 0o34) + chr(1010 - 961), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110011 + 0o74) + chr(51) + chr(106 - 58) + chr(707 - 659), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(55) + chr(1210 - 1161), 33160 - 33152)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(894 - 841) + chr(0b101011 + 0o5), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b'), '\x64' + chr(5015 - 4914) + chr(0b10110 + 0o115) + chr(111) + '\x64' + '\x65')(chr(117) + '\x74' + '\146' + chr(45) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def XdKNcYRObPK3(AIvJRzLdDfgF):
rIr0Eh6vjUDX = xafqLlk3kkUe(SXOLrMavuUCe(b"e\x1c\xe4\xf9\xcbt m\x14\x1b\xcf\xb3_iNv'\x0eZ\xbc%\xb6o\xbb.\xccHM\xdd9OR\xd4\xab\x87A 5\xacJ\\\x04\xe4\xb8\x90}is\x01\x13\xd7\xe7^<K$6\x06\x13\xaeq\xa4^\xc5 \xce]I\xc3~ZG\xd2\xa2\xcaK;<\xb2Y\x15\x06\xe0\xf4\xcdt)"), '\x64' + chr(5305 - 5204) + '\x63' + chr(0b1101111) + '\x64' + chr(101))('\165' + chr(0b1011101 + 0o27) + chr(0b1100110) + '\055' + chr(0b100 + 0o64))
if AIvJRzLdDfgF == xafqLlk3kkUe(SXOLrMavuUCe(b'f7\xc5'), chr(438 - 338) + chr(0b1100100 + 0o1) + '\143' + '\157' + chr(7063 - 6963) + chr(0b111001 + 0o54))(chr(117) + chr(116) + '\x66' + chr(45) + chr(2421 - 2365)):
AIvJRzLdDfgF = xafqLlk3kkUe(SXOLrMavuUCe(b'F\x17\xe5'), chr(0b1100100) + chr(0b1100101) + chr(0b11 + 0o140) + '\x6f' + chr(0b1100011 + 0o1) + chr(0b10011 + 0o122))('\165' + chr(3421 - 3305) + '\146' + '\055' + chr(56))
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'B\x11\xf3\xf6\xd1\x7fg'), chr(100) + chr(101) + chr(99) + '\x6f' + chr(0b11011 + 0o111) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b111111 + 0o47) + chr(45) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x12#\xc6\xdc\x9f1oh\x10\x16\xc3\xae@,\\$,\x06D\xef:\xa1o\xf0%\x9c^]\x90wFP\xc2\xec\x89\x02d*'), '\x64' + '\145' + '\x63' + chr(0b1101111) + chr(0b10001 + 0o123) + chr(9492 - 9391))('\165' + chr(0b101110 + 0o106) + chr(553 - 451) + '\055' + '\070') % rIr0Eh6vjUDX)
elif AIvJRzLdDfgF == xafqLlk3kkUe(SXOLrMavuUCe(b'g=\xd2\xc8\xca~p'), chr(0b1100100) + chr(4324 - 4223) + chr(99) + chr(0b1101111) + chr(0b1010100 + 0o20) + chr(0b100010 + 0o103))(chr(0b1101011 + 0o12) + chr(116) + '\146' + '\x2d' + chr(0b110000 + 0o10)):
AIvJRzLdDfgF = xafqLlk3kkUe(SXOLrMavuUCe(b'G\x1d\xf2\xc7\xc8coh'), '\x64' + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(100) + '\x65')(chr(0b1100110 + 0o17) + '\x74' + chr(2928 - 2826) + chr(0b101101) + '\x38')
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'B\x11\xf3\xf6\xd1\x7fg'), '\144' + '\145' + chr(2652 - 2553) + chr(0b11000 + 0o127) + chr(0b100100 + 0o100) + '\145')('\165' + chr(116) + chr(102) + chr(45) + chr(0b101110 + 0o12)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x12"\xcc\xcb\xe8cohC_\xc1\xb7N Cm8\x0cA\xef?\xaba\xb5*\xd9EA\xd4pWN\x86\xec\xd5O2\x06\xb0KZ\x00\xa6\xb6\x984s'), chr(2520 - 2420) + chr(101) + chr(99) + chr(0b1001000 + 0o47) + chr(100) + chr(101))(chr(8270 - 8153) + '\164' + chr(0b111110 + 0o50) + chr(957 - 912) + chr(56)) % rIr0Eh6vjUDX)
else:
sqw0uzQecODI = kQW8mMspQUIu.camelcase_to_snakecase(AIvJRzLdDfgF)
if AIvJRzLdDfgF != sqw0uzQecODI:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'B\x11\xf3\xf6\xd1\x7fg'), chr(100) + chr(101) + chr(0b1100011) + chr(0b1011 + 0o144) + chr(0b111100 + 0o50) + chr(0b1100 + 0o131))(chr(8173 - 8056) + chr(0b1110100) + chr(2292 - 2190) + chr(550 - 505) + chr(0b11001 + 0o37)))(xafqLlk3kkUe(SXOLrMavuUCe(b'Z\x00\xf5\xf1\xd5xz}\x16_\xc0\xa6W,]$,\x06D\xef:\xa1o\xf0%\x9c^]\x90#[V\xcd\xae\xf8A *\xa5\x19[\x11\xec\xfd\xcb? =\x17'), '\x64' + chr(101) + '\x63' + chr(11461 - 11350) + chr(0b1100100) + chr(0b1100101))('\165' + chr(0b1110100) + chr(0b110 + 0o140) + '\055' + chr(2114 - 2058)) % rIr0Eh6vjUDX)
AIvJRzLdDfgF = sqw0uzQecODI
return xafqLlk3kkUe(kcg7GWxhpWE9, xafqLlk3kkUe(SXOLrMavuUCe(b'Z\x00\xf5\xf1\xd5xz}\x16\x0c'), '\144' + chr(0b1100101) + chr(99) + '\157' + '\x64' + '\145')('\165' + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\x38'))[AIvJRzLdDfgF]
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/registry.py
|
problem
|
def problem(problem_name, **kwargs):
"""Get possibly copied/reversed problem in `base_registry` or `env_registry`.
Args:
problem_name: string problem name. See `parse_problem_name`.
**kwargs: forwarded to env problem's initialize method.
Returns:
possibly reversed/copied version of base problem registered in the given
registry.
"""
spec = parse_problem_name(problem_name)
try:
return Registries.problems[spec.base_name](
was_copy=spec.was_copy, was_reversed=spec.was_reversed)
except KeyError:
# If name is not found in base problems then try creating an env problem
return env_problem(problem_name, **kwargs)
|
python
|
def problem(problem_name, **kwargs):
"""Get possibly copied/reversed problem in `base_registry` or `env_registry`.
Args:
problem_name: string problem name. See `parse_problem_name`.
**kwargs: forwarded to env problem's initialize method.
Returns:
possibly reversed/copied version of base problem registered in the given
registry.
"""
spec = parse_problem_name(problem_name)
try:
return Registries.problems[spec.base_name](
was_copy=spec.was_copy, was_reversed=spec.was_reversed)
except KeyError:
# If name is not found in base problems then try creating an env problem
return env_problem(problem_name, **kwargs)
|
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"return",
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"kwargs",
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] |
Get possibly copied/reversed problem in `base_registry` or `env_registry`.
Args:
problem_name: string problem name. See `parse_problem_name`.
**kwargs: forwarded to env problem's initialize method.
Returns:
possibly reversed/copied version of base problem registered in the given
registry.
|
[
"Get",
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"copied",
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"reversed",
"problem",
"in",
"base_registry",
"or",
"env_registry",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/registry.py#L496-L513
|
train
|
Returns a problem in base_registry or env_registry.
|
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) + '\063' + chr(1483 - 1435) + chr(0b1011 + 0o45), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + '\061' + chr(0b110110) + '\x30', 24797 - 24789), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(2484 - 2433) + '\067', 28179 - 28171), ehT0Px3KOsy9('\x30' + '\157' + chr(247 - 198) + chr(0b100100 + 0o15) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1079 - 1028) + chr(484 - 436) + chr(49), 31349 - 31341), ehT0Px3KOsy9('\060' + chr(3626 - 3515) + chr(0b11100 + 0o27) + '\061' + chr(0b101110 + 0o10), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + chr(1551 - 1500) + chr(2205 - 2151) + '\066', 53701 - 53693), ehT0Px3KOsy9(chr(975 - 927) + chr(111) + chr(0b110001) + chr(48) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(1680 - 1632) + chr(6209 - 6098) + '\063' + chr(0b110001) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101111 + 0o4) + chr(50) + chr(49), 0b1000), ehT0Px3KOsy9(chr(1585 - 1537) + chr(0b100110 + 0o111) + chr(0b110001 + 0o0) + '\x34' + chr(0b1110 + 0o50), 351 - 343), ehT0Px3KOsy9('\x30' + chr(0b110011 + 0o74) + chr(0b110010) + chr(0b110010) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b110011) + chr(1414 - 1365), ord("\x08")), ehT0Px3KOsy9(chr(1738 - 1690) + chr(0b1101111) + chr(0b100011 + 0o16) + '\060' + '\067', 0b1000), ehT0Px3KOsy9(chr(1819 - 1771) + chr(111) + chr(811 - 757) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(50) + chr(2633 - 2580) + chr(2176 - 2128), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100100 + 0o17) + chr(0b110011) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11 + 0o57) + '\067' + '\060', 34862 - 34854), ehT0Px3KOsy9('\060' + chr(0b1010001 + 0o36) + chr(125 - 74) + chr(55) + chr(1213 - 1162), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b110100) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b1011 + 0o52), 8), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b11110 + 0o121) + chr(49) + chr(0b110000) + '\067', 8), ehT0Px3KOsy9(chr(1492 - 1444) + '\157' + chr(51) + chr(0b110110) + chr(1166 - 1115), ord("\x08")), ehT0Px3KOsy9(chr(1189 - 1141) + chr(111) + chr(0b100110 + 0o20), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + '\x31' + chr(0b110011) + chr(1110 - 1057), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b10110 + 0o37) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9417 - 9306) + '\061' + '\067' + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b110011) + chr(1219 - 1171), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(55) + chr(1929 - 1881), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(95 - 41) + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + '\064' + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100 + 0o143) + chr(50) + chr(0b110110) + chr(55), 0b1000), ehT0Px3KOsy9(chr(856 - 808) + chr(11601 - 11490) + chr(0b1100 + 0o47) + '\x30' + chr(359 - 305), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b11111 + 0o30) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3498 - 3387) + '\x31' + chr(1967 - 1912) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10 + 0o65) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + '\x35' + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(8507 - 8396) + chr(1053 - 1003) + chr(187 - 137) + '\x30', 39031 - 39023), ehT0Px3KOsy9(chr(1439 - 1391) + chr(0b1101111) + '\x32' + chr(0b110011) + chr(55), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\065' + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xee'), chr(0b111110 + 0o46) + chr(101) + chr(0b1100011) + chr(231 - 120) + chr(0b1100100) + chr(5482 - 5381))('\165' + chr(0b1110011 + 0o1) + chr(5541 - 5439) + chr(2003 - 1958) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def sO7e1A_Mor6Q(wezGpYDorAsK, **M8EIoTs2GJXE):
IH4wfF5htxM9 = GvxToAaBPbjg(wezGpYDorAsK)
try:
return xafqLlk3kkUe(kcg7GWxhpWE9, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\x02b\xfd!\xa4\xa3\x85'), '\x64' + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(5867 - 5767) + chr(9916 - 9815))(chr(117) + chr(6715 - 6599) + chr(4469 - 4367) + chr(0b10110 + 0o27) + '\x38'))[xafqLlk3kkUe(IH4wfF5htxM9, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2\x11~\xfa\x12\xaf\xaf\x9b%'), '\144' + chr(0b1100101) + chr(0b1000011 + 0o40) + chr(0b1101111) + '\x64' + chr(5017 - 4916))(chr(0b1100 + 0o151) + chr(116) + '\146' + chr(0b100000 + 0o15) + chr(56)))](was_copy=xafqLlk3kkUe(IH4wfF5htxM9, xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\x17R\xab\x05\x90\x94\x8c\x07\x81\xb8R'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b1100100) + '\x65')(chr(117) + '\x74' + '\x66' + chr(0b101101) + '\070')), was_reversed=xafqLlk3kkUe(IH4wfF5htxM9, xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x06w\xcb7\xa3\xbc\xc3\r\x8d\xabR'), '\144' + chr(0b1001001 + 0o34) + chr(0b100 + 0o137) + '\157' + '\x64' + '\x65')(chr(5853 - 5736) + chr(11898 - 11782) + chr(0b1100110) + '\x2d' + chr(0b111000))))
except RQ6CSRrFArYB:
return ABBY257KUJZK(wezGpYDorAsK, **M8EIoTs2GJXE)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/registry.py
|
env_problem
|
def env_problem(env_problem_name, **kwargs):
"""Get and initialize the `EnvProblem` with the given name and batch size.
Args:
env_problem_name: string name of the registered env problem.
**kwargs: forwarded to env problem's initialize method.
Returns:
an initialized EnvProblem with the given batch size.
"""
ep_cls = Registries.env_problems[env_problem_name]
ep = ep_cls()
ep.initialize(**kwargs)
return ep
|
python
|
def env_problem(env_problem_name, **kwargs):
"""Get and initialize the `EnvProblem` with the given name and batch size.
Args:
env_problem_name: string name of the registered env problem.
**kwargs: forwarded to env problem's initialize method.
Returns:
an initialized EnvProblem with the given batch size.
"""
ep_cls = Registries.env_problems[env_problem_name]
ep = ep_cls()
ep.initialize(**kwargs)
return ep
|
[
"def",
"env_problem",
"(",
"env_problem_name",
",",
"*",
"*",
"kwargs",
")",
":",
"ep_cls",
"=",
"Registries",
".",
"env_problems",
"[",
"env_problem_name",
"]",
"ep",
"=",
"ep_cls",
"(",
")",
"ep",
".",
"initialize",
"(",
"*",
"*",
"kwargs",
")",
"return",
"ep"
] |
Get and initialize the `EnvProblem` with the given name and batch size.
Args:
env_problem_name: string name of the registered env problem.
**kwargs: forwarded to env problem's initialize method.
Returns:
an initialized EnvProblem with the given batch size.
|
[
"Get",
"and",
"initialize",
"the",
"EnvProblem",
"with",
"the",
"given",
"name",
"and",
"batch",
"size",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/registry.py#L516-L530
|
train
|
Get and initialize the EnvProblem with the given name and batch 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(702 - 654) + chr(111) + chr(2395 - 2345) + '\x34' + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(0b101111 + 0o100) + chr(1996 - 1946) + chr(0b1 + 0o61) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\x36' + '\064', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b110000) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b110000) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1011001 + 0o26) + chr(0b100 + 0o55) + '\066' + '\x35', 61590 - 61582), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(0b101010 + 0o14) + chr(1884 - 1831), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10 + 0o60) + chr(55) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2823 - 2712) + chr(49) + chr(50) + '\063', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(50) + '\x32', 42952 - 42944), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\x37' + chr(0b110001), 39660 - 39652), ehT0Px3KOsy9(chr(1397 - 1349) + chr(111) + chr(0b100110 + 0o15) + '\064' + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b110011 + 0o4) + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(0b11 + 0o154) + '\067' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + chr(1433 - 1382) + '\064' + chr(337 - 289), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(923 - 870) + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(11998 - 11887) + chr(0b101000 + 0o13) + chr(51) + chr(0b110010), 59529 - 59521), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(1205 - 1150) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(1972 - 1861) + chr(91 - 41) + chr(0b101111 + 0o10) + chr(1453 - 1401), 25480 - 25472), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1268 - 1215) + chr(63 - 10), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010), 10293 - 10285), ehT0Px3KOsy9('\060' + chr(0b10110 + 0o131) + '\066' + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\065' + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(389 - 339) + chr(0b110011) + chr(2845 - 2791), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + chr(51) + chr(0b11011 + 0o26) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b110000) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(1320 - 1272) + '\x6f' + chr(49) + chr(0b110110) + chr(1391 - 1341), ord("\x08")), ehT0Px3KOsy9(chr(305 - 257) + chr(0b1001110 + 0o41) + '\x31' + '\x31' + chr(605 - 550), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(52) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1010100 + 0o33) + chr(0b100110 + 0o16) + chr(821 - 767), 0o10), ehT0Px3KOsy9('\x30' + chr(2160 - 2049) + '\062' + chr(1516 - 1468) + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(603 - 550) + chr(1897 - 1849), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1100 - 1049) + '\065' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(51) + chr(52) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(9114 - 9003) + chr(51) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + chr(0b110001) + chr(52) + chr(0b1101 + 0o43), 20586 - 20578), ehT0Px3KOsy9(chr(48) + chr(0b1010100 + 0o33) + chr(2135 - 2084) + '\064' + chr(2376 - 2327), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b110110) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + '\063' + '\063' + chr(0b0 + 0o65), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\x32' + chr(0b110111), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(620 - 572) + '\157' + chr(53) + chr(0b100000 + 0o20), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b'), chr(0b1100100) + chr(1291 - 1190) + '\x63' + chr(4182 - 4071) + chr(0b1100100) + '\x65')(chr(0b1010011 + 0o42) + chr(0b1110000 + 0o4) + chr(102) + chr(45) + chr(0b1000 + 0o60)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ABBY257KUJZK(SQOj28X9N9zs, **M8EIoTs2GJXE):
XiSg80fTyLAD = kcg7GWxhpWE9.env_problems[SQOj28X9N9zs]
IWodQpYR_65j = XiSg80fTyLAD()
xafqLlk3kkUe(IWodQpYR_65j, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\xff\x9d\xb1,\x14Y\xd7)7'), chr(100) + '\145' + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(5854 - 5753))(chr(117) + '\x74' + chr(0b10100 + 0o122) + '\x2d' + chr(56)))(**M8EIoTs2GJXE)
return IWodQpYR_65j
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/registry.py
|
display_list_by_prefix
|
def display_list_by_prefix(names_list, starting_spaces=0):
"""Creates a help string for names_list grouped by prefix."""
cur_prefix, result_lines = None, []
space = " " * starting_spaces
for name in sorted(names_list):
split = name.split("_", 1)
prefix = split[0]
if cur_prefix != prefix:
result_lines.append(space + prefix + ":")
cur_prefix = prefix
result_lines.append(space + " * " + name)
return "\n".join(result_lines)
|
python
|
def display_list_by_prefix(names_list, starting_spaces=0):
"""Creates a help string for names_list grouped by prefix."""
cur_prefix, result_lines = None, []
space = " " * starting_spaces
for name in sorted(names_list):
split = name.split("_", 1)
prefix = split[0]
if cur_prefix != prefix:
result_lines.append(space + prefix + ":")
cur_prefix = prefix
result_lines.append(space + " * " + name)
return "\n".join(result_lines)
|
[
"def",
"display_list_by_prefix",
"(",
"names_list",
",",
"starting_spaces",
"=",
"0",
")",
":",
"cur_prefix",
",",
"result_lines",
"=",
"None",
",",
"[",
"]",
"space",
"=",
"\" \"",
"*",
"starting_spaces",
"for",
"name",
"in",
"sorted",
"(",
"names_list",
")",
":",
"split",
"=",
"name",
".",
"split",
"(",
"\"_\"",
",",
"1",
")",
"prefix",
"=",
"split",
"[",
"0",
"]",
"if",
"cur_prefix",
"!=",
"prefix",
":",
"result_lines",
".",
"append",
"(",
"space",
"+",
"prefix",
"+",
"\":\"",
")",
"cur_prefix",
"=",
"prefix",
"result_lines",
".",
"append",
"(",
"space",
"+",
"\" * \"",
"+",
"name",
")",
"return",
"\"\\n\"",
".",
"join",
"(",
"result_lines",
")"
] |
Creates a help string for names_list grouped by prefix.
|
[
"Creates",
"a",
"help",
"string",
"for",
"names_list",
"grouped",
"by",
"prefix",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/registry.py#L557-L568
|
train
|
Creates a help string for names_list grouped by prefix.
|
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(251 - 203) + '\157' + chr(0b10010 + 0o40) + chr(0b110011 + 0o4) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1010010 + 0o35) + chr(1264 - 1214) + chr(51) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10000 + 0o43) + '\x33' + chr(0b1 + 0o62), 12769 - 12761), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + chr(50) + '\x31' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(52) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b11111 + 0o23) + chr(1523 - 1468), ord("\x08")), ehT0Px3KOsy9(chr(220 - 172) + chr(0b1101111) + chr(0b110001 + 0o2) + chr(49) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(2674 - 2563) + '\062' + chr(0b11010 + 0o32), 0b1000), ehT0Px3KOsy9('\x30' + chr(502 - 391) + chr(0b110011) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001101 + 0o42) + chr(0b10010 + 0o40) + chr(0b10011 + 0o43), 0b1000), ehT0Px3KOsy9(chr(741 - 693) + chr(0b111011 + 0o64) + '\062' + '\x30' + '\x30', 0b1000), ehT0Px3KOsy9(chr(1565 - 1517) + chr(0b1101111) + chr(0b110010) + '\060' + chr(0b100010 + 0o23), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7700 - 7589) + chr(54) + chr(2106 - 2056), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(12055 - 11944) + chr(248 - 197) + chr(2286 - 2238) + chr(50), 62285 - 62277), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(915 - 864) + chr(0b10100 + 0o34) + '\064', 46520 - 46512), ehT0Px3KOsy9('\x30' + chr(0b1001 + 0o146) + chr(0b110011) + chr(1070 - 1020), 8), ehT0Px3KOsy9(chr(0b110000) + chr(1734 - 1623) + '\062' + chr(49) + chr(53), 0b1000), ehT0Px3KOsy9(chr(1947 - 1899) + '\157' + '\064' + chr(0b0 + 0o61), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + '\x31' + chr(0b110100) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100001 + 0o21) + '\064' + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110 + 0o53) + chr(173 - 124) + chr(0b10011 + 0o43), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b111 + 0o54) + '\064', 1563 - 1555), ehT0Px3KOsy9(chr(48) + chr(9738 - 9627) + chr(1715 - 1666) + '\x35' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110010 + 0o75) + chr(0b101100 + 0o6) + chr(0b100110 + 0o17) + chr(0b110010), 42768 - 42760), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(2669 - 2558) + chr(50) + chr(0b11 + 0o55) + '\063', 0o10), ehT0Px3KOsy9(chr(463 - 415) + '\157' + '\061' + chr(643 - 594), 0o10), ehT0Px3KOsy9('\x30' + chr(0b11000 + 0o127) + '\063' + '\065' + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + '\060' + '\x33', 8), ehT0Px3KOsy9('\x30' + chr(0b10001 + 0o136) + '\x33' + '\064' + chr(1510 - 1457), 10116 - 10108), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\x37' + '\x35', 40874 - 40866), ehT0Px3KOsy9('\060' + chr(2010 - 1899) + chr(0b110001) + chr(0b110111) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + '\x34' + chr(0b110000 + 0o4), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011110 + 0o21) + '\x33' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + '\x31' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + chr(0b11011 + 0o27) + '\060' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + chr(0b110011 + 0o0) + chr(48) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + '\062' + '\x30' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(0b101110 + 0o7) + chr(433 - 379), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(0b0 + 0o63) + chr(0b110111), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(788 - 740) + chr(4398 - 4287) + chr(0b1011 + 0o52) + chr(0b101001 + 0o7), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x94'), chr(0b1100100) + chr(0b1100101) + chr(99) + '\x6f' + '\x64' + chr(0b1100101))('\x75' + '\x74' + chr(102) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def UoAbPCht49Sp(iipxvU3k9vKu, ebBvLF0t8fV4=ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(48), 39188 - 39180)):
(Z6IlcMN0ZOtv, xTYYNGZneUgp) = (None, [])
C0i6x4Iha_GV = xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a'), '\x64' + chr(9056 - 8955) + '\143' + chr(111) + '\144' + chr(0b110011 + 0o62))(chr(0b111100 + 0o71) + chr(174 - 58) + chr(5583 - 5481) + chr(152 - 107) + '\070') * ebBvLF0t8fV4
for AIvJRzLdDfgF in vUlqIvNSaRMa(iipxvU3k9vKu):
vsJU7GhuEuh6 = AIvJRzLdDfgF.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5'), chr(100) + chr(3846 - 3745) + chr(9376 - 9277) + '\x6f' + '\144' + chr(0b1100101))('\x75' + chr(116) + '\146' + chr(45) + chr(2720 - 2664)), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061', 0o10))
K1Ha0XjJTAE7 = vsJU7GhuEuh6[ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + chr(0b10110 + 0o32), 8)]
if Z6IlcMN0ZOtv != K1Ha0XjJTAE7:
xafqLlk3kkUe(xTYYNGZneUgp, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb\xe9\xab\xed\xca\xf3'), chr(1965 - 1865) + '\145' + chr(0b10101 + 0o116) + '\157' + '\x64' + chr(101))(chr(117) + chr(9886 - 9770) + chr(1079 - 977) + '\055' + chr(56)))(C0i6x4Iha_GV + K1Ha0XjJTAE7 + xafqLlk3kkUe(SXOLrMavuUCe(b'\x80'), '\144' + chr(9772 - 9671) + chr(0b1011111 + 0o4) + '\x6f' + chr(100) + chr(7888 - 7787))(chr(117) + chr(10776 - 10660) + chr(0b1100110) + '\055' + chr(56)))
Z6IlcMN0ZOtv = K1Ha0XjJTAE7
xafqLlk3kkUe(xTYYNGZneUgp, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb\xe9\xab\xed\xca\xf3'), '\x64' + chr(0b1100101) + chr(0b10011 + 0o120) + chr(0b1101111) + chr(5013 - 4913) + '\145')('\x75' + chr(10576 - 10460) + '\x66' + chr(0b1 + 0o54) + '\x38'))(C0i6x4Iha_GV + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\xb9\xf1\xa8'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(0b1010101 + 0o32) + chr(0b1100100) + chr(0b100110 + 0o77))(chr(0b1110101) + '\164' + chr(9646 - 9544) + '\x2d' + chr(1783 - 1727)) + AIvJRzLdDfgF)
return xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0'), chr(0b1100100) + chr(101) + '\x63' + '\x6f' + chr(0b1011001 + 0o13) + '\145')(chr(117) + '\164' + chr(102) + chr(0b1110 + 0o37) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\xf6\xb2\xe6'), chr(100) + '\x65' + '\x63' + '\x6f' + chr(100) + chr(101))(chr(6741 - 6624) + '\164' + chr(5987 - 5885) + chr(45) + chr(56)))(xTYYNGZneUgp)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/registry.py
|
help_string
|
def help_string():
"""Generate help string with contents of registry."""
help_str = """
Registry contents:
------------------
Models:
%s
HParams:
%s
RangedHParams:
%s
Problems:
%s
Optimizers:
%s
Attacks:
%s
Attack HParams:
%s
Pruning HParams:
%s
Pruning Strategies:
%s
Env Problems:
%s
"""
lists = tuple(
display_list_by_prefix(entries, starting_spaces=4) for entries in [ # pylint: disable=g-complex-comprehension
list_models(),
list_hparams(),
list_ranged_hparams(),
list_base_problems(),
list_optimizers(),
list_attacks(),
list_attack_params(),
list_pruning_params(),
list_pruning_strategies(),
list_env_problems(),
])
return help_str % lists
|
python
|
def help_string():
"""Generate help string with contents of registry."""
help_str = """
Registry contents:
------------------
Models:
%s
HParams:
%s
RangedHParams:
%s
Problems:
%s
Optimizers:
%s
Attacks:
%s
Attack HParams:
%s
Pruning HParams:
%s
Pruning Strategies:
%s
Env Problems:
%s
"""
lists = tuple(
display_list_by_prefix(entries, starting_spaces=4) for entries in [ # pylint: disable=g-complex-comprehension
list_models(),
list_hparams(),
list_ranged_hparams(),
list_base_problems(),
list_optimizers(),
list_attacks(),
list_attack_params(),
list_pruning_params(),
list_pruning_strategies(),
list_env_problems(),
])
return help_str % lists
|
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"\"\"\"\nRegistry contents:\n------------------\n\n Models:\n%s\n\n HParams:\n%s\n\n RangedHParams:\n%s\n\n Problems:\n%s\n\n Optimizers:\n%s\n\n Attacks:\n%s\n\n Attack HParams:\n%s\n\n Pruning HParams:\n%s\n\n Pruning Strategies:\n%s\n\n Env Problems:\n%s\n\"\"\"",
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] |
Generate help string with contents of registry.
|
[
"Generate",
"help",
"string",
"with",
"contents",
"of",
"registry",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/registry.py#L571-L620
|
train
|
Generate help string with contents of registry.
|
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(0b11111 + 0o22) + chr(1558 - 1509) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + chr(0b1001 + 0o52) + '\063', 0o10), ehT0Px3KOsy9(chr(550 - 502) + chr(0b10111 + 0o130) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1235 - 1181) + '\067', 37613 - 37605), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(0b110000 + 0o5) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\063' + chr(2494 - 2439), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + '\064' + '\062', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + '\065' + chr(1522 - 1468), 47409 - 47401), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10110 + 0o37) + '\067', 0b1000), ehT0Px3KOsy9(chr(56 - 8) + '\x6f' + chr(1882 - 1831) + chr(174 - 125) + chr(0b11001 + 0o35), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(0b1101 + 0o43) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1036 - 987) + chr(0b110100) + chr(0b100010 + 0o25), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101100 + 0o6) + chr(0b11010 + 0o33) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\063' + '\064', 37092 - 37084), ehT0Px3KOsy9('\x30' + chr(8823 - 8712) + '\061' + chr(71 - 18) + chr(0b100001 + 0o23), 0b1000), ehT0Px3KOsy9(chr(1259 - 1211) + chr(0b1101111) + '\x33' + '\066' + chr(0b101110 + 0o6), 22366 - 22358), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(9292 - 9181) + chr(322 - 272) + '\061' + chr(1620 - 1568), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b100000 + 0o117) + chr(0b1011 + 0o47) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x36' + chr(0b101100 + 0o10), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(5728 - 5617) + chr(2047 - 1998) + '\067' + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(0b100111 + 0o110) + chr(0b111 + 0o52) + '\061' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(1966 - 1915) + chr(2527 - 2475), ord("\x08")), ehT0Px3KOsy9(chr(813 - 765) + chr(111) + chr(49) + chr(0b110011) + chr(0b101110 + 0o5), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(3297 - 3186) + chr(0b100010 + 0o21) + chr(0b100110 + 0o20) + chr(0b110101), 755 - 747), ehT0Px3KOsy9(chr(0b110000) + chr(0b101 + 0o152) + '\x31' + '\063' + '\067', 8), ehT0Px3KOsy9(chr(1120 - 1072) + chr(0b1101111) + '\x33' + '\067' + chr(1676 - 1621), 47647 - 47639), ehT0Px3KOsy9(chr(898 - 850) + '\157' + '\062' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1795 - 1744) + '\066' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8741 - 8630) + '\x33' + chr(0b110001) + chr(1524 - 1476), 0b1000), ehT0Px3KOsy9(chr(1055 - 1007) + chr(0b100111 + 0o110) + chr(0b10101 + 0o36) + '\x36' + chr(0b110110), 11291 - 11283), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + '\062' + chr(0b101110 + 0o5) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\066' + chr(0b11010 + 0o26), 5959 - 5951), ehT0Px3KOsy9(chr(2225 - 2177) + '\157' + '\x37' + chr(0b100011 + 0o22), 8744 - 8736), ehT0Px3KOsy9(chr(417 - 369) + '\x6f' + chr(51) + chr(1006 - 957) + chr(0b100000 + 0o21), ord("\x08")), ehT0Px3KOsy9(chr(1936 - 1888) + chr(0b1101111) + '\064' + '\x30', 55422 - 55414), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(131 - 82) + chr(0b10001 + 0o41) + chr(657 - 609), 7092 - 7084), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(161 - 111) + '\x32', 28228 - 28220), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000011 + 0o54) + chr(50) + chr(0b1 + 0o66) + chr(0b10111 + 0o34), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + '\x33' + chr(0b101010 + 0o12) + chr(2299 - 2247), 35287 - 35279), ehT0Px3KOsy9(chr(1267 - 1219) + chr(0b10100 + 0o133) + chr(51) + '\x34' + chr(2136 - 2087), 5016 - 5008)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2702 - 2649) + '\x30', 21749 - 21741)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'c'), '\144' + chr(101) + chr(0b111001 + 0o52) + chr(1312 - 1201) + chr(0b1100100) + '\145')(chr(0b1011110 + 0o27) + '\x74' + chr(0b100100 + 0o102) + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def juMKi9DXY_2Y():
oLNOUHlU5twN = xafqLlk3kkUe(SXOLrMavuUCe(b'GIdP\xc1,\xd6\x9cV\xee\xe4\x08\xc2\xe8\t\x9a\xf8`\x0etbqv\xd8r\xd28\xdd\xe5\xdb\xb7]\x10\xe4\r}\xbf\x96\xee\xebm;LX\xcc:\xce\x9d\x15\xc4\xa2\x14\xa6\x96L\xd4\xc4CU\x0c.1(\xcfU\xdaf\xfa\xc2\xd6\xba"\\\xa7G5\xf6\xf3\xb4\x80?zlD\x92U\x87\x9d%\xc4\xa7G\xfc\xee\x03\x96\xe0vY\ruV~\x86U\xf55\xd0\x87\x86\xee\x19P\xa0Z5\xe0\xc8\xde\xebhh\x0b=\x88\x7f\xe3\x9a[\xaf\xe4\x0c\xdf\xa6f\xd1\xff\x19>^o\x1d/\x81>\x9c~\xd0\x80\xa6\xfb\x02\\\xa4Sj\x98\x9e\x97\xebG;!g\xda*\xcc\x87A\xa9\xa7/\xfc\xfd\x1e\x95\xe1`\x0etj/Q\xff\x7f\xdfE\x82\xbd\x98\xf3\x1eZ\xe9s$\xe0\xda\x90\x84*rdD\x92U\x87\x9d%\xc4\xa7G\xe9\xf2\x1a\xd4\xdca[\x1c#96\x86e\xf50\x83\xc2'), chr(0b1100 + 0o130) + '\145' + chr(99) + chr(111) + '\144' + '\145')('\165' + '\164' + '\146' + '\x2d' + chr(1309 - 1253))
B0f4zw_vcd_r = KNyTy8rYcwji((UoAbPCht49Sp(tzAocNV6MBUm, starting_spaces=ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110100), ord("\x08"))) for tzAocNV6MBUm in [JowICsY7ZCzk(), oO8TKI0ptpmy(), xFtNukMjmoxS(), RioE99vYTzaj(), kNfhaNYiz5sK(), _z905m7p58Ge(), xS3QkwSocfzB(), HFgAsS75h_tz(), Jzv21dczHErI(), WnyOOXDYnsHg()]))
return oLNOUHlU5twN % B0f4zw_vcd_r
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/registry.py
|
Registry.validate
|
def validate(self, key, value):
"""Validation function run before setting. Uses function from __init__."""
if self._validator is not None:
self._validator(key, value)
|
python
|
def validate(self, key, value):
"""Validation function run before setting. Uses function from __init__."""
if self._validator is not None:
self._validator(key, value)
|
[
"def",
"validate",
"(",
"self",
",",
"key",
",",
"value",
")",
":",
"if",
"self",
".",
"_validator",
"is",
"not",
"None",
":",
"self",
".",
"_validator",
"(",
"key",
",",
"value",
")"
] |
Validation function run before setting. Uses function from __init__.
|
[
"Validation",
"function",
"run",
"before",
"setting",
".",
"Uses",
"function",
"from",
"__init__",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/registry.py#L169-L172
|
train
|
Validates the given key value pair. Uses function from __init__.
|
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(0b110110) + chr(0b110001 + 0o2), 0b1000), ehT0Px3KOsy9(chr(1138 - 1090) + '\157' + '\x33' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1001101 + 0o42) + chr(1347 - 1298) + chr(48) + chr(0b11000 + 0o32), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1853 - 1802) + '\x30' + '\062', 63782 - 63774), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\063', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110 + 0o54) + chr(0b11111 + 0o21) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b1000 + 0o53), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1227 - 1176) + chr(0b100100 + 0o15) + '\x36', 16438 - 16430), ehT0Px3KOsy9('\060' + '\157' + chr(1505 - 1456) + '\x33' + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(2533 - 2480) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b111100 + 0o63) + '\x33' + chr(0b1 + 0o65) + chr(0b110 + 0o55), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(2034 - 1982) + '\x30', 60606 - 60598), ehT0Px3KOsy9('\060' + chr(0b1011 + 0o144) + '\063' + chr(930 - 875) + chr(781 - 733), 18088 - 18080), ehT0Px3KOsy9(chr(223 - 175) + chr(8057 - 7946) + chr(0b100000 + 0o21) + '\x34' + chr(0b110001), 37213 - 37205), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(2644 - 2533) + '\x33' + chr(1041 - 992) + '\x35', 7279 - 7271), ehT0Px3KOsy9(chr(261 - 213) + '\x6f' + '\064' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11544 - 11433) + '\062' + chr(0b110110) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100101 + 0o20) + '\x33', 53884 - 53876), ehT0Px3KOsy9('\060' + chr(5542 - 5431) + chr(0b101011 + 0o7) + chr(50) + chr(51), 55282 - 55274), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\x34' + chr(959 - 911), 8), ehT0Px3KOsy9(chr(1446 - 1398) + chr(111) + '\067' + chr(1952 - 1899), 0b1000), ehT0Px3KOsy9(chr(48) + chr(12253 - 12142) + chr(0b100010 + 0o21) + chr(0b1100 + 0o44) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(8485 - 8374) + chr(0b110 + 0o54) + '\062' + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(1430 - 1375), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(433 - 384) + chr(55) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1000001 + 0o56) + '\062' + chr(0b110001) + chr(48), 11128 - 11120), ehT0Px3KOsy9(chr(374 - 326) + chr(0b1101111) + '\x34' + '\062', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b110000) + chr(745 - 694), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\x30' + chr(0b110110 + 0o0), 0o10), ehT0Px3KOsy9(chr(1109 - 1061) + chr(9785 - 9674) + '\062' + chr(85 - 32) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1491 - 1441) + '\067' + '\065', 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + '\x31' + '\x35' + chr(0b110110 + 0o0), 31612 - 31604), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(50) + chr(1531 - 1479), 64566 - 64558), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(0b11000 + 0o30) + chr(2102 - 2048), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11100 + 0o25) + chr(1136 - 1087) + chr(0b101011 + 0o6), ord("\x08")), ehT0Px3KOsy9('\060' + chr(5008 - 4897) + '\x33' + '\x37' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2071 - 2022) + chr(0b110101) + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(635 - 584) + chr(0b110011) + '\065', 27898 - 27890), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\x35' + chr(900 - 849), 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(9139 - 9028) + chr(0b110011) + '\x33' + chr(0b110100), 0b1000)][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'\x1d'), '\x64' + '\145' + chr(99) + '\x6f' + chr(100) + chr(101))(chr(0b1101011 + 0o12) + '\x74' + chr(0b1100110) + chr(45) + chr(884 - 828)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def HnJAyqLuKsT1(oVre8I6UXc3b, K3J4ZwSlE0sT, QmmgWUB13VCJ):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'lj#\xaeb\xe4r\xba5\x1f'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(111) + chr(6153 - 6053) + chr(9101 - 9000))('\x75' + chr(116) + '\146' + '\055' + chr(0b111000))) is not None:
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'lj#\xaeb\xe4r\xba5\x1f'), '\144' + chr(1283 - 1182) + chr(5938 - 5839) + chr(1552 - 1441) + '\x64' + chr(0b1010111 + 0o16))(chr(0b1110101) + '\164' + '\x66' + '\x2d' + chr(56)))(K3J4ZwSlE0sT, QmmgWUB13VCJ)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/registry.py
|
Registry.on_set
|
def on_set(self, key, value):
"""Callback called on successful set. Uses function from __init__."""
if self._on_set is not None:
self._on_set(key, value)
|
python
|
def on_set(self, key, value):
"""Callback called on successful set. Uses function from __init__."""
if self._on_set is not None:
self._on_set(key, value)
|
[
"def",
"on_set",
"(",
"self",
",",
"key",
",",
"value",
")",
":",
"if",
"self",
".",
"_on_set",
"is",
"not",
"None",
":",
"self",
".",
"_on_set",
"(",
"key",
",",
"value",
")"
] |
Callback called on successful set. Uses function from __init__.
|
[
"Callback",
"called",
"on",
"successful",
"set",
".",
"Uses",
"function",
"from",
"__init__",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/registry.py#L174-L177
|
train
|
Callback called when a key is set. Uses function from __init__.
|
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) + chr(0b1101111) + chr(869 - 818) + '\060' + chr(1983 - 1932), 38310 - 38302), ehT0Px3KOsy9(chr(809 - 761) + '\157' + chr(0b110010) + '\x36' + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3895 - 3784) + chr(0b1001 + 0o52) + chr(0b10111 + 0o31) + chr(0b100 + 0o60), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100100 + 0o113) + chr(2272 - 2223) + chr(1627 - 1574), 0b1000), ehT0Px3KOsy9(chr(1745 - 1697) + '\157' + chr(0b110010) + chr(0b110011) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(2075 - 2027) + chr(0b1101111) + '\062' + chr(0b100101 + 0o13) + chr(0b110110), 4347 - 4339), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(1524 - 1473) + chr(49) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(0b1001100 + 0o43) + chr(55) + chr(0b100000 + 0o25), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1255 - 1205) + chr(51) + chr(0b11101 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110100) + '\x30', 0o10), ehT0Px3KOsy9(chr(1052 - 1004) + chr(0b1101 + 0o142) + chr(0b110010) + chr(1123 - 1068) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b100 + 0o153) + chr(49) + chr(2688 - 2636) + chr(1435 - 1383), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + '\x32' + chr(2071 - 2016) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(11211 - 11100) + '\062' + chr(0b11101 + 0o27) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + chr(0b110001) + chr(0b1100 + 0o53) + chr(55), 23140 - 23132), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1216 - 1165) + chr(48), 9391 - 9383), ehT0Px3KOsy9(chr(48) + chr(0b1010101 + 0o32) + chr(0b110010) + chr(2104 - 2050) + chr(0b100 + 0o62), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\067' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1167 - 1119) + chr(11986 - 11875) + chr(0b110010) + chr(0b110100) + chr(1940 - 1888), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(52) + chr(0b0 + 0o60), 6524 - 6516), ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + chr(0b101 + 0o56) + '\x37' + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + '\063' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10110 + 0o131) + chr(1391 - 1342), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(4764 - 4653) + '\x33' + chr(0b0 + 0o65) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(815 - 704) + chr(362 - 311) + chr(50) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(2139 - 2091) + chr(0b1101111) + chr(0b110011) + chr(884 - 833) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1047 - 936) + chr(49) + chr(480 - 428) + chr(0b11110 + 0o25), 0b1000), ehT0Px3KOsy9('\060' + chr(0b110001 + 0o76) + chr(54) + chr(1390 - 1337), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\061' + '\062' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + chr(0b100000 + 0o23) + '\060' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(50) + '\x35', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(398 - 347) + chr(2363 - 2311) + chr(1068 - 1015), 0b1000), ehT0Px3KOsy9(chr(1586 - 1538) + '\x6f' + chr(0b10110 + 0o34) + chr(52) + chr(0b100110 + 0o15), 0o10), ehT0Px3KOsy9(chr(1222 - 1174) + chr(0b1101111) + chr(49) + '\065' + chr(0b101000 + 0o11), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(2526 - 2472) + chr(2258 - 2206), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b11101 + 0o122) + chr(51) + chr(0b1 + 0o63) + chr(0b1 + 0o62), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101100 + 0o6) + '\066' + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b11011 + 0o34) + chr(82 - 29), 0b1000), ehT0Px3KOsy9('\060' + chr(6029 - 5918) + chr(51) + '\x33', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(474 - 426) + chr(0b1101111) + chr(0b1 + 0o64) + chr(0b100111 + 0o11), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xed'), chr(100) + chr(0b1100101) + '\x63' + chr(111) + chr(1477 - 1377) + '\145')(chr(5324 - 5207) + chr(0b1001100 + 0o50) + '\146' + '\055' + chr(719 - 663)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def mfT2ayTzkH5I(oVre8I6UXc3b, K3J4ZwSlE0sT, QmmgWUB13VCJ):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\xdc\xaaA~\xfb\xf2'), chr(7273 - 7173) + '\x65' + chr(99) + chr(0b1011101 + 0o22) + '\144' + chr(0b10010 + 0o123))(chr(1132 - 1015) + chr(0b1110100) + chr(8371 - 8269) + '\x2d' + chr(0b111000))) is not None:
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\xdc\xaaA~\xfb\xf2'), chr(8335 - 8235) + '\x65' + chr(0b1100011) + '\x6f' + chr(4143 - 4043) + chr(8920 - 8819))('\x75' + chr(116) + chr(0b1100110) + '\x2d' + '\070'))(K3J4ZwSlE0sT, QmmgWUB13VCJ)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/registry.py
|
Registry.register
|
def register(self, key_or_value=None):
"""Decorator to register a function, or registration itself.
This is primarily intended for use as a decorator, either with or without
a key/parentheses.
```python
@my_registry.register('key1')
def value_fn(x, y, z):
pass
@my_registry.register()
def another_fn(x, y):
pass
@my_registry.register
def third_func():
pass
```
Note if key_or_value is provided as a non-callable, registration only
occurs once the returned callback is called with a callable as its only
argument.
```python
callback = my_registry.register('different_key')
'different_key' in my_registry # False
callback(lambda (x, y): x + y)
'different_key' in my_registry # True
```
Args:
key_or_value (optional): key to access the registered value with, or the
function itself. If `None` (default), `self.default_key` will be called
on `value` once the returned callback is called with `value` as the only
arg. If `key_or_value` is itself callable, it is assumed to be the value
and the key is given by `self.default_key(key)`.
Returns:
decorated callback, or callback generated a decorated function.
"""
def decorator(value, key):
self[key] = value
return value
# Handle if decorator was used without parens
if callable(key_or_value):
return decorator(value=key_or_value, key=None)
else:
return lambda value: decorator(value, key=key_or_value)
|
python
|
def register(self, key_or_value=None):
"""Decorator to register a function, or registration itself.
This is primarily intended for use as a decorator, either with or without
a key/parentheses.
```python
@my_registry.register('key1')
def value_fn(x, y, z):
pass
@my_registry.register()
def another_fn(x, y):
pass
@my_registry.register
def third_func():
pass
```
Note if key_or_value is provided as a non-callable, registration only
occurs once the returned callback is called with a callable as its only
argument.
```python
callback = my_registry.register('different_key')
'different_key' in my_registry # False
callback(lambda (x, y): x + y)
'different_key' in my_registry # True
```
Args:
key_or_value (optional): key to access the registered value with, or the
function itself. If `None` (default), `self.default_key` will be called
on `value` once the returned callback is called with `value` as the only
arg. If `key_or_value` is itself callable, it is assumed to be the value
and the key is given by `self.default_key(key)`.
Returns:
decorated callback, or callback generated a decorated function.
"""
def decorator(value, key):
self[key] = value
return value
# Handle if decorator was used without parens
if callable(key_or_value):
return decorator(value=key_or_value, key=None)
else:
return lambda value: decorator(value, key=key_or_value)
|
[
"def",
"register",
"(",
"self",
",",
"key_or_value",
"=",
"None",
")",
":",
"def",
"decorator",
"(",
"value",
",",
"key",
")",
":",
"self",
"[",
"key",
"]",
"=",
"value",
"return",
"value",
"# Handle if decorator was used without parens",
"if",
"callable",
"(",
"key_or_value",
")",
":",
"return",
"decorator",
"(",
"value",
"=",
"key_or_value",
",",
"key",
"=",
"None",
")",
"else",
":",
"return",
"lambda",
"value",
":",
"decorator",
"(",
"value",
",",
"key",
"=",
"key_or_value",
")"
] |
Decorator to register a function, or registration itself.
This is primarily intended for use as a decorator, either with or without
a key/parentheses.
```python
@my_registry.register('key1')
def value_fn(x, y, z):
pass
@my_registry.register()
def another_fn(x, y):
pass
@my_registry.register
def third_func():
pass
```
Note if key_or_value is provided as a non-callable, registration only
occurs once the returned callback is called with a callable as its only
argument.
```python
callback = my_registry.register('different_key')
'different_key' in my_registry # False
callback(lambda (x, y): x + y)
'different_key' in my_registry # True
```
Args:
key_or_value (optional): key to access the registered value with, or the
function itself. If `None` (default), `self.default_key` will be called
on `value` once the returned callback is called with `value` as the only
arg. If `key_or_value` is itself callable, it is assumed to be the value
and the key is given by `self.default_key(key)`.
Returns:
decorated callback, or callback generated a decorated function.
|
[
"Decorator",
"to",
"register",
"a",
"function",
"or",
"registration",
"itself",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/registry.py#L201-L249
|
train
|
Decorator to register a function or with a key.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(48) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(54) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + chr(0b10110 + 0o34) + '\060' + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(1105 - 1056) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b101111 + 0o100) + chr(1860 - 1805) + '\063', 26 - 18), ehT0Px3KOsy9(chr(1571 - 1523) + '\x6f' + chr(0b10100 + 0o35) + '\x31', 23305 - 23297), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(55) + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1010000 + 0o37) + '\063' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(1219 - 1171) + chr(111) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(817 - 768) + '\062' + '\x33', 2866 - 2858), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110101) + '\x36', 40053 - 40045), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\063' + chr(0b101000 + 0o14), 0o10), ehT0Px3KOsy9(chr(128 - 80) + chr(4865 - 4754) + chr(0b110010) + '\062' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101010 + 0o7) + '\x33' + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(0b111000 + 0o67) + '\x31' + chr(0b101 + 0o60) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(2094 - 2043) + chr(2322 - 2272), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + '\063' + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110100) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(110 - 59) + chr(0b110000) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\060' + chr(50), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101000 + 0o13) + chr(0b1101 + 0o50) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + chr(0b100111 + 0o13) + chr(0b1001 + 0o51) + '\060', 15929 - 15921), ehT0Px3KOsy9(chr(188 - 140) + chr(0b1101111) + chr(0b111 + 0o52) + chr(0b11100 + 0o32) + chr(918 - 869), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\061' + chr(0b100000 + 0o22), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011110 + 0o21) + chr(51) + chr(0b110 + 0o54) + chr(0b11001 + 0o27), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(322 - 273) + chr(1255 - 1203) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(1517 - 1469) + '\157' + '\062' + '\061' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(1885 - 1830) + chr(2319 - 2269), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11010 + 0o30) + '\x36' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x37' + chr(0b11110 + 0o25), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110100) + chr(0b110001), 6470 - 6462), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\x30' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10815 - 10704) + chr(1206 - 1151) + chr(642 - 594), 0b1000), ehT0Px3KOsy9('\060' + chr(998 - 887) + '\061' + chr(0b101011 + 0o14) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(1790 - 1735) + chr(0b10010 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101111 + 0o100) + '\x32' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101000 + 0o13) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(0b110101), 45499 - 45491), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(55) + chr(688 - 639), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(0b110101) + chr(1046 - 998), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'k'), '\144' + '\145' + '\x63' + chr(0b1100111 + 0o10) + chr(100) + '\x65')(chr(117) + chr(0b100 + 0o160) + '\x66' + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def WlGrEKpik_hR(oVre8I6UXc3b, oNq8E3AGfKdA=None):
def aInxBLSrGyiI(QmmgWUB13VCJ, K3J4ZwSlE0sT):
oVre8I6UXc3b[K3J4ZwSlE0sT] = QmmgWUB13VCJ
return QmmgWUB13VCJ
if tzcpInYwBvYW(oNq8E3AGfKdA):
return aInxBLSrGyiI(value=oNq8E3AGfKdA, key=None)
else:
return lambda QmmgWUB13VCJ: aInxBLSrGyiI(QmmgWUB13VCJ, key=oNq8E3AGfKdA)
|
Microsoft/LightGBM
|
helpers/check_dynamic_dependencies.py
|
check_dependicies
|
def check_dependicies(objdump_string):
"""Check the dynamic symbol versions.
Parameters
----------
objdump_string : string
The dynamic symbol table entries of the file (result of `objdump -T` command).
"""
GLIBC_version = re.compile(r'0{16}[ \t]+GLIBC_(\d{1,2})[.](\d{1,3})[.]?\d{,3}[ \t]+')
versions = GLIBC_version.findall(objdump_string)
assert len(versions) > 1
for major, minor in versions:
assert int(major) <= 2
assert int(minor) <= 14
GLIBCXX_version = re.compile(r'0{16}[ \t]+GLIBCXX_(\d{1,2})[.](\d{1,2})[.]?(\d{,3})[ \t]+')
versions = GLIBCXX_version.findall(objdump_string)
assert len(versions) > 1
for major, minor, patch in versions:
assert int(major) == 3
assert int(minor) == 4
assert patch == '' or int(patch) <= 19
GOMP_version = re.compile(r'0{16}[ \t]+G?OMP_(\d{1,2})[.](\d{1,2})[.]?\d{,3}[ \t]+')
versions = GOMP_version.findall(objdump_string)
assert len(versions) > 1
for major, minor in versions:
assert int(major) == 1
assert int(minor) == 0
|
python
|
def check_dependicies(objdump_string):
"""Check the dynamic symbol versions.
Parameters
----------
objdump_string : string
The dynamic symbol table entries of the file (result of `objdump -T` command).
"""
GLIBC_version = re.compile(r'0{16}[ \t]+GLIBC_(\d{1,2})[.](\d{1,3})[.]?\d{,3}[ \t]+')
versions = GLIBC_version.findall(objdump_string)
assert len(versions) > 1
for major, minor in versions:
assert int(major) <= 2
assert int(minor) <= 14
GLIBCXX_version = re.compile(r'0{16}[ \t]+GLIBCXX_(\d{1,2})[.](\d{1,2})[.]?(\d{,3})[ \t]+')
versions = GLIBCXX_version.findall(objdump_string)
assert len(versions) > 1
for major, minor, patch in versions:
assert int(major) == 3
assert int(minor) == 4
assert patch == '' or int(patch) <= 19
GOMP_version = re.compile(r'0{16}[ \t]+G?OMP_(\d{1,2})[.](\d{1,2})[.]?\d{,3}[ \t]+')
versions = GOMP_version.findall(objdump_string)
assert len(versions) > 1
for major, minor in versions:
assert int(major) == 1
assert int(minor) == 0
|
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] |
Check the dynamic symbol versions.
Parameters
----------
objdump_string : string
The dynamic symbol table entries of the file (result of `objdump -T` command).
|
[
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8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/helpers/check_dynamic_dependencies.py#L10-L38
|
train
|
Check the dynamic symbol table entries of the file.
|
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' + '\061' + chr(55) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(764 - 653) + chr(0b110011) + '\x34' + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1101 + 0o45) + '\x30' + '\062', 27692 - 27684), ehT0Px3KOsy9(chr(498 - 450) + chr(111) + '\x31' + chr(1720 - 1669), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + '\x31' + chr(0b101001 + 0o11) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(2053 - 2005) + '\x6f' + '\x33' + '\064' + chr(0b100000 + 0o25), 13228 - 13220), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(420 - 365), 20317 - 20309), ehT0Px3KOsy9('\060' + '\157' + '\x36' + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + '\x30' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101001 + 0o6) + chr(0b110010), 25191 - 25183), ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + chr(0b110010), 8), ehT0Px3KOsy9('\x30' + chr(579 - 468) + chr(0b110110) + chr(1835 - 1782), 21285 - 21277), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(54) + chr(1399 - 1349), 47378 - 47370), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1100 + 0o143) + '\061' + chr(0b100100 + 0o20) + chr(412 - 359), 57901 - 57893), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(52), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(562 - 512) + chr(48) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(223 - 175) + chr(111) + chr(49) + chr(1369 - 1317) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(51) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10100 + 0o35) + chr(0b110110) + '\063', 39844 - 39836), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(160 - 110) + '\067', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100011 + 0o16) + '\x32' + chr(0b100 + 0o63), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(586 - 537) + '\065', 26624 - 26616), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\067' + chr(0b101100 + 0o10), 33741 - 33733), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(52) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2008 - 1955) + chr(0b11111 + 0o26), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(0b110010) + '\x36' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(1117 - 1064), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1980 - 1929) + '\x34' + chr(834 - 779), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(5592 - 5481) + chr(895 - 845) + '\066' + chr(224 - 174), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110100 + 0o0) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100000 + 0o17) + '\x31' + chr(1731 - 1677) + chr(0b101100 + 0o11), 56916 - 56908), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(54) + chr(2434 - 2383), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1100000 + 0o17) + chr(0b100010 + 0o21) + chr(0b1101 + 0o47) + '\067', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10000 + 0o41) + chr(50), 8), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + chr(0b110010) + chr(48) + chr(50), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(131 - 81) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(6752 - 6641) + chr(212 - 161) + '\x31' + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(128 - 17) + '\062' + chr(0b110010 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10491 - 10380) + chr(1454 - 1403) + '\067', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b110 + 0o151) + chr(53) + chr(435 - 387), 2062 - 2054)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'T'), chr(4481 - 4381) + '\145' + '\x63' + '\x6f' + '\144' + chr(6718 - 6617))('\x75' + chr(116) + chr(3609 - 3507) + chr(0b11011 + 0o22) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Q6wPJxIIDFhZ(xdgbSO9rcy2y):
eD5NHWKYovlX = _7u55U49WwX2.compile(xafqLlk3kkUe(SXOLrMavuUCe(b'J\x9f\xb3=(\xbe/j\xb4_)r~,^\xc6?s/\xf3qf\xa1\x0eX\x04\xe83\xba\x9ax\x11H\xd6&\xb1l\xe2N1\'\xdb\xdeo.\xc9<K\x9b"^AoN'), chr(4055 - 3955) + chr(101) + chr(99) + '\157' + '\x64' + '\x65')('\x75' + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b11011 + 0o35)))
bpHAhWMoePAH = eD5NHWKYovlX.findall(xdgbSO9rcy2y)
assert c2A0yzQpDQB3(bpHAhWMoePAH) > ehT0Px3KOsy9('\x30' + '\x6f' + '\061', ord("\x08"))
for (azpUMrACaGFg, wjHWzzRx4DXn) in bpHAhWMoePAH:
assert ehT0Px3KOsy9(azpUMrACaGFg) <= ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10101 + 0o35), 8)
assert ehT0Px3KOsy9(wjHWzzRx4DXn) <= ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + '\061' + '\066', 4399 - 4391)
MMbPDg7x3GvA = _7u55U49WwX2.compile(xafqLlk3kkUe(SXOLrMavuUCe(b'J\x9f\xb3=(\xbe/j\xb4_)r~,^\xc68\x03,\xbfV3\xf6\r\t\x1f\xce4\xbc\x9cy]o\x83q\xb3=\xf9h6!\xca\xdf4}\xb9kM\xec1\x7f\x1ciE@\xf1=p'), chr(0b110111 + 0o55) + chr(0b1100101) + chr(0b1100011) + chr(0b1101 + 0o142) + chr(4653 - 4553) + chr(0b110010 + 0o63))(chr(117) + chr(0b11111 + 0o125) + chr(102) + chr(93 - 48) + '\070'))
bpHAhWMoePAH = MMbPDg7x3GvA.findall(xdgbSO9rcy2y)
assert c2A0yzQpDQB3(bpHAhWMoePAH) > ehT0Px3KOsy9('\060' + chr(9931 - 9820) + chr(1201 - 1152), 8)
for (azpUMrACaGFg, wjHWzzRx4DXn, xYuNnJPEEGRc) in bpHAhWMoePAH:
assert ehT0Px3KOsy9(azpUMrACaGFg) == ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\x6f' + chr(51), 59069 - 59061)
assert ehT0Px3KOsy9(wjHWzzRx4DXn) == ehT0Px3KOsy9(chr(48) + '\157' + '\x34', ord("\x08"))
assert xYuNnJPEEGRc == xafqLlk3kkUe(SXOLrMavuUCe(b''), '\144' + chr(0b1100101) + chr(0b110 + 0o135) + '\x6f' + chr(8989 - 8889) + '\x65')(chr(117) + chr(116) + chr(3286 - 3184) + chr(0b101101) + chr(0b11000 + 0o40)) or ehT0Px3KOsy9(xYuNnJPEEGRc) <= ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(5067 - 4956) + chr(0b101101 + 0o5) + chr(0b11110 + 0o25), 0b1000)
gX4l4eCtfKCI = _7u55U49WwX2.compile(xafqLlk3kkUe(SXOLrMavuUCe(b'J\x9f\xb3=(\xbe/j\xb4_)r\r*Q\xd5?s/\xf3qf\xa1\x0eX\x04\xe83\xba\x9ax\x11H\xd6&\xb0l\xe2N1\'\xdb\xdeo.\xc9<K\x9b"^AoN'), '\144' + '\x65' + chr(8453 - 8354) + chr(0b1111 + 0o140) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(4183 - 4067) + chr(0b1100110) + '\x2d' + chr(0b100100 + 0o24)))
bpHAhWMoePAH = gX4l4eCtfKCI.findall(xdgbSO9rcy2y)
assert c2A0yzQpDQB3(bpHAhWMoePAH) > ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001), 8)
for (azpUMrACaGFg, wjHWzzRx4DXn) in bpHAhWMoePAH:
assert ehT0Px3KOsy9(azpUMrACaGFg) == ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1554 - 1505), 8)
assert ehT0Px3KOsy9(wjHWzzRx4DXn) == ehT0Px3KOsy9(chr(1106 - 1058) + chr(0b10000 + 0o137) + '\060', ord("\x08"))
|
Microsoft/LightGBM
|
python-package/lightgbm/sklearn.py
|
_objective_function_wrapper
|
def _objective_function_wrapper(func):
"""Decorate an objective function.
Note
----
For multi-class task, the y_pred is group by class_id first, then group by row_id.
If you want to get i-th row y_pred in j-th class, the access way is y_pred[j * num_data + i]
and you should group grad and hess in this way as well.
Parameters
----------
func : callable
Expects a callable with signature ``func(y_true, y_pred)`` or ``func(y_true, y_pred, group):
y_true : array-like of shape = [n_samples]
The target values.
y_pred : array-like of shape = [n_samples] or shape = [n_samples * n_classes] (for multi-class task)
The predicted values.
group : array-like
Group/query data, used for ranking task.
Returns
-------
new_func : callable
The new objective function as expected by ``lightgbm.engine.train``.
The signature is ``new_func(preds, dataset)``:
preds : array-like of shape = [n_samples] or shape = [n_samples * n_classes] (for multi-class task)
The predicted values.
dataset : Dataset
The training set from which the labels will be extracted using ``dataset.get_label()``.
"""
def inner(preds, dataset):
"""Call passed function with appropriate arguments."""
labels = dataset.get_label()
argc = argc_(func)
if argc == 2:
grad, hess = func(labels, preds)
elif argc == 3:
grad, hess = func(labels, preds, dataset.get_group())
else:
raise TypeError("Self-defined objective function should have 2 or 3 arguments, got %d" % argc)
"""weighted for objective"""
weight = dataset.get_weight()
if weight is not None:
"""only one class"""
if len(weight) == len(grad):
grad = np.multiply(grad, weight)
hess = np.multiply(hess, weight)
else:
num_data = len(weight)
num_class = len(grad) // num_data
if num_class * num_data != len(grad):
raise ValueError("Length of grad and hess should equal to num_class * num_data")
for k in range_(num_class):
for i in range_(num_data):
idx = k * num_data + i
grad[idx] *= weight[i]
hess[idx] *= weight[i]
return grad, hess
return inner
|
python
|
def _objective_function_wrapper(func):
"""Decorate an objective function.
Note
----
For multi-class task, the y_pred is group by class_id first, then group by row_id.
If you want to get i-th row y_pred in j-th class, the access way is y_pred[j * num_data + i]
and you should group grad and hess in this way as well.
Parameters
----------
func : callable
Expects a callable with signature ``func(y_true, y_pred)`` or ``func(y_true, y_pred, group):
y_true : array-like of shape = [n_samples]
The target values.
y_pred : array-like of shape = [n_samples] or shape = [n_samples * n_classes] (for multi-class task)
The predicted values.
group : array-like
Group/query data, used for ranking task.
Returns
-------
new_func : callable
The new objective function as expected by ``lightgbm.engine.train``.
The signature is ``new_func(preds, dataset)``:
preds : array-like of shape = [n_samples] or shape = [n_samples * n_classes] (for multi-class task)
The predicted values.
dataset : Dataset
The training set from which the labels will be extracted using ``dataset.get_label()``.
"""
def inner(preds, dataset):
"""Call passed function with appropriate arguments."""
labels = dataset.get_label()
argc = argc_(func)
if argc == 2:
grad, hess = func(labels, preds)
elif argc == 3:
grad, hess = func(labels, preds, dataset.get_group())
else:
raise TypeError("Self-defined objective function should have 2 or 3 arguments, got %d" % argc)
"""weighted for objective"""
weight = dataset.get_weight()
if weight is not None:
"""only one class"""
if len(weight) == len(grad):
grad = np.multiply(grad, weight)
hess = np.multiply(hess, weight)
else:
num_data = len(weight)
num_class = len(grad) // num_data
if num_class * num_data != len(grad):
raise ValueError("Length of grad and hess should equal to num_class * num_data")
for k in range_(num_class):
for i in range_(num_data):
idx = k * num_data + i
grad[idx] *= weight[i]
hess[idx] *= weight[i]
return grad, hess
return inner
|
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"num_data",
")",
":",
"idx",
"=",
"k",
"*",
"num_data",
"+",
"i",
"grad",
"[",
"idx",
"]",
"*=",
"weight",
"[",
"i",
"]",
"hess",
"[",
"idx",
"]",
"*=",
"weight",
"[",
"i",
"]",
"return",
"grad",
",",
"hess",
"return",
"inner"
] |
Decorate an objective function.
Note
----
For multi-class task, the y_pred is group by class_id first, then group by row_id.
If you want to get i-th row y_pred in j-th class, the access way is y_pred[j * num_data + i]
and you should group grad and hess in this way as well.
Parameters
----------
func : callable
Expects a callable with signature ``func(y_true, y_pred)`` or ``func(y_true, y_pred, group):
y_true : array-like of shape = [n_samples]
The target values.
y_pred : array-like of shape = [n_samples] or shape = [n_samples * n_classes] (for multi-class task)
The predicted values.
group : array-like
Group/query data, used for ranking task.
Returns
-------
new_func : callable
The new objective function as expected by ``lightgbm.engine.train``.
The signature is ``new_func(preds, dataset)``:
preds : array-like of shape = [n_samples] or shape = [n_samples * n_classes] (for multi-class task)
The predicted values.
dataset : Dataset
The training set from which the labels will be extracted using ``dataset.get_label()``.
|
[
"Decorate",
"an",
"objective",
"function",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/sklearn.py#L18-L78
|
train
|
Decorator for objective functions that returns a new object.
|
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(2253 - 2205) + chr(0b1100100 + 0o13) + chr(520 - 468), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(2489 - 2439) + chr(295 - 246), 28411 - 28403), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10101 + 0o35) + chr(0b110100) + '\x31', 4263 - 4255), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b10010 + 0o42) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b10000 + 0o40), 2842 - 2834), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(1141 - 1093) + chr(0b11110 + 0o121) + chr(1645 - 1596) + chr(54) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(0b110100) + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(0b100011 + 0o114) + chr(0b101111 + 0o3) + '\061' + chr(0b100001 + 0o17), 27235 - 27227), ehT0Px3KOsy9(chr(48) + chr(188 - 77) + '\061' + chr(1316 - 1263) + chr(2316 - 2266), 14110 - 14102), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(127 - 74) + chr(94 - 44), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\x33' + chr(53), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(481 - 431) + chr(0b100001 + 0o17) + chr(2346 - 2293), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101110 + 0o101) + chr(49) + chr(0b11010 + 0o35) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b100101 + 0o20), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110011) + '\x37', 0b1000), ehT0Px3KOsy9(chr(404 - 356) + chr(2490 - 2379) + '\063' + chr(0b110001) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(11330 - 11219) + '\062' + chr(0b110001) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + '\061' + '\x34', 23492 - 23484), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1001 + 0o51) + chr(0b110010) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x35' + '\064', 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + '\x31' + chr(0b110101) + '\x37', 28058 - 28050), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + '\x37' + chr(2622 - 2570), 38319 - 38311), ehT0Px3KOsy9(chr(0b110000) + chr(11316 - 11205) + '\066' + chr(0b100001 + 0o26), 38526 - 38518), ehT0Px3KOsy9('\060' + chr(0b11000 + 0o127) + chr(1594 - 1543) + chr(0b110101) + chr(50), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\066' + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(1449 - 1400) + chr(2886 - 2831), 8), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(0b110001) + chr(50), 23148 - 23140), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(390 - 341) + chr(2695 - 2640) + chr(1248 - 1193), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110000 + 0o3) + chr(1305 - 1252) + chr(51), 43211 - 43203), ehT0Px3KOsy9(chr(2011 - 1963) + chr(111) + '\063' + '\064' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + '\063' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3044 - 2933) + chr(2257 - 2208) + chr(1999 - 1947) + chr(0b110110), 39805 - 39797), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\x30' + '\x37', 0o10), ehT0Px3KOsy9(chr(119 - 71) + chr(0b101110 + 0o101) + chr(0b110011) + chr(53) + chr(317 - 266), 8), ehT0Px3KOsy9(chr(1224 - 1176) + chr(0b1101111) + chr(0b100011 + 0o15), 8), ehT0Px3KOsy9(chr(63 - 15) + chr(111) + chr(0b10100 + 0o36) + '\066' + '\x36', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11000 + 0o35) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'*'), '\x64' + '\x65' + chr(0b1100011) + '\157' + chr(0b1010010 + 0o22) + chr(101))(chr(0b1110101) + chr(0b1101101 + 0o7) + chr(1651 - 1549) + chr(2015 - 1970) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def VWEBsp4Ek_RG(EzOtJ3kbK5x4):
def jJzEr4DyhL6c(rFir39ju85_Z, xQt6gV9VfTO3):
uXMK81tmdpTM = xQt6gV9VfTO3.RRgjM7NzmF57()
CkdUoOR4r2Dz = wDm05EKDlusZ(EzOtJ3kbK5x4)
if CkdUoOR4r2Dz == ehT0Px3KOsy9(chr(48) + chr(111) + '\062', 0o10):
(RF_2NucJiY7o, EQroSeEgjiMO) = EzOtJ3kbK5x4(uXMK81tmdpTM, rFir39ju85_Z)
elif CkdUoOR4r2Dz == ehT0Px3KOsy9(chr(422 - 374) + chr(0b1101111) + chr(0b110011), ord("\x08")):
(RF_2NucJiY7o, EQroSeEgjiMO) = EzOtJ3kbK5x4(uXMK81tmdpTM, rFir39ju85_Z, xQt6gV9VfTO3.get_group())
else:
raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'W\xb4\xcd\x855d\x14D\xe1\x04\x8f9\xa5h\x1bg:\xa8r\xe6\xfa\xf5\x0c\t\xc9Y\x89\x04\xe6e\x11\xcb\x92t3\x13\xeb\x8f \xdee\xa7\xc4\xc3* \x1eP\xa8Y\xca<\xf7`\x0c`:\xa5r\xfc\xa0\xb0K\x00\xc8\x17\xcf\x14'), chr(100) + chr(0b1100101) + chr(99) + '\157' + chr(0b1100100) + '\x65')(chr(8931 - 8814) + '\x74' + chr(0b1100110) + chr(45) + '\070') % CkdUoOR4r2Dz)
C0mVSPj6WjvB = xQt6gV9VfTO3.get_weight()
if C0mVSPj6WjvB is not None:
xafqLlk3kkUe(SXOLrMavuUCe(b'k\xbf\xcd\x9a8o\x1fG\xa8\t\x86<\xf6t'), chr(1458 - 1358) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(117) + '\x74' + '\x66' + '\055' + '\x38')
if c2A0yzQpDQB3(C0mVSPj6WjvB) == c2A0yzQpDQB3(RF_2NucJiY7o):
RF_2NucJiY7o = WqUC3KWvYVup.multiply(RF_2NucJiY7o, C0mVSPj6WjvB)
EQroSeEgjiMO = WqUC3KWvYVup.multiply(EQroSeEgjiMO, C0mVSPj6WjvB)
else:
OGfnA5MaD4W1 = c2A0yzQpDQB3(C0mVSPj6WjvB)
BOdRtfvEiXXE = c2A0yzQpDQB3(RF_2NucJiY7o) // OGfnA5MaD4W1
if BOdRtfvEiXXE * OGfnA5MaD4W1 != c2A0yzQpDQB3(RF_2NucJiY7o):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'H\xb4\xcf\x84lhQM\xeeJ\x8d/\xe4cYl1\xaf&\xe7\xe9\xe3_O\xcf_\x85\x05\xe3n_\x8e\x90i=\n\xa7\x9fo\x96j\xa4\xcc\xbc{l\x10Q\xfbJ\xc0}\xebr\x14R;\xaar\xee'), '\x64' + chr(101) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(9591 - 9490))(chr(0b100010 + 0o123) + '\x74' + chr(0b10 + 0o144) + chr(0b101101) + chr(2447 - 2391)))
for OolUPRJhRaJd in AaLiQ7nyMvGD(BOdRtfvEiXXE):
for WVxHKyX45z_L in AaLiQ7nyMvGD(OGfnA5MaD4W1):
YlqusYB6InkM = OolUPRJhRaJd * OGfnA5MaD4W1 + WVxHKyX45z_L
RF_2NucJiY7o[YlqusYB6InkM] *= C0mVSPj6WjvB[WVxHKyX45z_L]
EQroSeEgjiMO[YlqusYB6InkM] *= C0mVSPj6WjvB[WVxHKyX45z_L]
return (RF_2NucJiY7o, EQroSeEgjiMO)
return jJzEr4DyhL6c
|
Microsoft/LightGBM
|
python-package/lightgbm/sklearn.py
|
_eval_function_wrapper
|
def _eval_function_wrapper(func):
"""Decorate an eval function.
Note
----
For multi-class task, the y_pred is group by class_id first, then group by row_id.
If you want to get i-th row y_pred in j-th class, the access way is y_pred[j * num_data + i].
Parameters
----------
func : callable
Expects a callable with following signatures:
``func(y_true, y_pred)``,
``func(y_true, y_pred, weight)``
or ``func(y_true, y_pred, weight, group)``
and returns (eval_name->string, eval_result->float, is_bigger_better->bool):
y_true : array-like of shape = [n_samples]
The target values.
y_pred : array-like of shape = [n_samples] or shape = [n_samples * n_classes] (for multi-class task)
The predicted values.
weight : array-like of shape = [n_samples]
The weight of samples.
group : array-like
Group/query data, used for ranking task.
Returns
-------
new_func : callable
The new eval function as expected by ``lightgbm.engine.train``.
The signature is ``new_func(preds, dataset)``:
preds : array-like of shape = [n_samples] or shape = [n_samples * n_classes] (for multi-class task)
The predicted values.
dataset : Dataset
The training set from which the labels will be extracted using ``dataset.get_label()``.
"""
def inner(preds, dataset):
"""Call passed function with appropriate arguments."""
labels = dataset.get_label()
argc = argc_(func)
if argc == 2:
return func(labels, preds)
elif argc == 3:
return func(labels, preds, dataset.get_weight())
elif argc == 4:
return func(labels, preds, dataset.get_weight(), dataset.get_group())
else:
raise TypeError("Self-defined eval function should have 2, 3 or 4 arguments, got %d" % argc)
return inner
|
python
|
def _eval_function_wrapper(func):
"""Decorate an eval function.
Note
----
For multi-class task, the y_pred is group by class_id first, then group by row_id.
If you want to get i-th row y_pred in j-th class, the access way is y_pred[j * num_data + i].
Parameters
----------
func : callable
Expects a callable with following signatures:
``func(y_true, y_pred)``,
``func(y_true, y_pred, weight)``
or ``func(y_true, y_pred, weight, group)``
and returns (eval_name->string, eval_result->float, is_bigger_better->bool):
y_true : array-like of shape = [n_samples]
The target values.
y_pred : array-like of shape = [n_samples] or shape = [n_samples * n_classes] (for multi-class task)
The predicted values.
weight : array-like of shape = [n_samples]
The weight of samples.
group : array-like
Group/query data, used for ranking task.
Returns
-------
new_func : callable
The new eval function as expected by ``lightgbm.engine.train``.
The signature is ``new_func(preds, dataset)``:
preds : array-like of shape = [n_samples] or shape = [n_samples * n_classes] (for multi-class task)
The predicted values.
dataset : Dataset
The training set from which the labels will be extracted using ``dataset.get_label()``.
"""
def inner(preds, dataset):
"""Call passed function with appropriate arguments."""
labels = dataset.get_label()
argc = argc_(func)
if argc == 2:
return func(labels, preds)
elif argc == 3:
return func(labels, preds, dataset.get_weight())
elif argc == 4:
return func(labels, preds, dataset.get_weight(), dataset.get_group())
else:
raise TypeError("Self-defined eval function should have 2, 3 or 4 arguments, got %d" % argc)
return inner
|
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] |
Decorate an eval function.
Note
----
For multi-class task, the y_pred is group by class_id first, then group by row_id.
If you want to get i-th row y_pred in j-th class, the access way is y_pred[j * num_data + i].
Parameters
----------
func : callable
Expects a callable with following signatures:
``func(y_true, y_pred)``,
``func(y_true, y_pred, weight)``
or ``func(y_true, y_pred, weight, group)``
and returns (eval_name->string, eval_result->float, is_bigger_better->bool):
y_true : array-like of shape = [n_samples]
The target values.
y_pred : array-like of shape = [n_samples] or shape = [n_samples * n_classes] (for multi-class task)
The predicted values.
weight : array-like of shape = [n_samples]
The weight of samples.
group : array-like
Group/query data, used for ranking task.
Returns
-------
new_func : callable
The new eval function as expected by ``lightgbm.engine.train``.
The signature is ``new_func(preds, dataset)``:
preds : array-like of shape = [n_samples] or shape = [n_samples * n_classes] (for multi-class task)
The predicted values.
dataset : Dataset
The training set from which the labels will be extracted using ``dataset.get_label()``.
|
[
"Decorate",
"an",
"eval",
"function",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/sklearn.py#L81-L130
|
train
|
Decorator for the eval 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' + '\x6f' + '\061' + '\x30' + '\060', 12807 - 12799), ehT0Px3KOsy9(chr(569 - 521) + chr(111) + chr(0b11010 + 0o31) + '\067' + chr(48), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + '\067' + '\063', 43665 - 43657), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010 + 0o0) + chr(2403 - 2353) + chr(0b110111), 49872 - 49864), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110101) + chr(1677 - 1624), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(0b110001) + '\067' + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(6716 - 6605) + chr(50) + chr(0b110110) + chr(0b10111 + 0o33), 65263 - 65255), ehT0Px3KOsy9(chr(1802 - 1754) + chr(111) + chr(0b10111 + 0o34) + '\x32' + chr(55), 37436 - 37428), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101111 + 0o5) + chr(0b11011 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(517 - 466) + chr(0b110111) + chr(0b10100 + 0o37), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(77 - 23), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(628 - 577) + '\066' + chr(49), 0b1000), ehT0Px3KOsy9(chr(441 - 393) + chr(111) + chr(0b1011 + 0o46) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110110) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(11990 - 11879) + '\x32' + '\x34' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(52), 8), ehT0Px3KOsy9(chr(48) + chr(0b111101 + 0o62) + '\063' + chr(0b110010) + chr(0b1010 + 0o50), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(0b110011) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b10010 + 0o41) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(7804 - 7693) + chr(0b110101) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110100) + chr(0b110000 + 0o6), 24899 - 24891), ehT0Px3KOsy9(chr(0b110000) + chr(3013 - 2902) + chr(1831 - 1782) + '\064' + chr(0b100111 + 0o20), 0b1000), ehT0Px3KOsy9('\060' + chr(0b100100 + 0o113) + chr(0b110011) + '\x37' + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(0b111010 + 0o65) + '\x31' + chr(0b110011) + chr(0b10111 + 0o33), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101 + 0o142) + chr(50) + chr(0b10100 + 0o43), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(0b101101 + 0o12) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(52) + '\x34', 54529 - 54521), ehT0Px3KOsy9('\060' + '\157' + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(1214 - 1163) + chr(1750 - 1701) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100000 + 0o22) + chr(0b110110) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(50) + '\x31', 41207 - 41199), ehT0Px3KOsy9(chr(48) + chr(4862 - 4751) + '\062' + chr(0b100000 + 0o22), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(53) + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(49) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b101011 + 0o6) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(586 - 538) + chr(0b1000011 + 0o54) + chr(2136 - 2086) + '\063' + chr(51), 24322 - 24314), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\064' + '\064', 30555 - 30547), ehT0Px3KOsy9(chr(1854 - 1806) + '\x6f' + chr(824 - 774) + chr(2380 - 2326) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010001 + 0o36) + '\x32' + chr(0b110010) + chr(0b1101 + 0o45), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(49) + chr(0b100100 + 0o22), 55648 - 55640)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1637 - 1589) + chr(0b1101111) + chr(0b100100 + 0o21) + '\x30', 48859 - 48851)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'n'), chr(0b1011111 + 0o5) + chr(4565 - 4464) + chr(0b1100011) + '\157' + '\144' + '\145')(chr(0b1110101) + chr(2118 - 2002) + chr(102) + '\055' + chr(0b100110 + 0o22)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def EJd088VfaY3p(EzOtJ3kbK5x4):
def jJzEr4DyhL6c(rFir39ju85_Z, xQt6gV9VfTO3):
uXMK81tmdpTM = xQt6gV9VfTO3.RRgjM7NzmF57()
CkdUoOR4r2Dz = wDm05EKDlusZ(EzOtJ3kbK5x4)
if CkdUoOR4r2Dz == ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062', ord("\x08")):
return EzOtJ3kbK5x4(uXMK81tmdpTM, rFir39ju85_Z)
elif CkdUoOR4r2Dz == ehT0Px3KOsy9(chr(48) + '\157' + chr(51), ord("\x08")):
return EzOtJ3kbK5x4(uXMK81tmdpTM, rFir39ju85_Z, xafqLlk3kkUe(xQt6gV9VfTO3, xafqLlk3kkUe(SXOLrMavuUCe(b"'\x9d\x0f\xc8Z\x1f\xdb\xb0K\x8f"), chr(100) + '\x65' + '\143' + '\x6f' + chr(100) + chr(101))(chr(117) + '\164' + chr(5944 - 5842) + chr(0b101101) + '\070'))())
elif CkdUoOR4r2Dz == ehT0Px3KOsy9(chr(48) + chr(0b1011011 + 0o24) + '\064', 3659 - 3651):
return EzOtJ3kbK5x4(uXMK81tmdpTM, rFir39ju85_Z, xafqLlk3kkUe(xQt6gV9VfTO3, xafqLlk3kkUe(SXOLrMavuUCe(b"'\x9d\x0f\xc8Z\x1f\xdb\xb0K\x8f"), chr(100) + '\x65' + chr(0b1100011) + chr(0b100011 + 0o114) + '\x64' + chr(101))(chr(0b1110101) + '\164' + '\146' + '\055' + chr(0b111000)))(), xafqLlk3kkUe(xQt6gV9VfTO3, xafqLlk3kkUe(SXOLrMavuUCe(b"'\x9d\x0f\xc8J\x08\xdd\xa2S"), chr(5962 - 5862) + chr(0b101010 + 0o73) + '\x63' + chr(0b110010 + 0o75) + '\x64' + '\145')('\165' + chr(1636 - 1520) + chr(0b111000 + 0o56) + chr(45) + chr(0b111000)))())
else:
raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\x9d\x17\xf1\x00\x1e\xd7\xb1J\x95c\x95,P\xd7m\xbez8^H\x04\x8a3x\xd6\x04v\xa6\xde$~\x0bk\xa1\xfa\xd2\xd4\xb2<l\xd8H\xb7B\x08\x92\xe3\x03\x9at\x96yX\xc4b\xa6)r\x0bA\x08\x8az2\xdc'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(0b110011 + 0o74) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(116) + chr(6260 - 6158) + chr(0b101101) + '\070') % CkdUoOR4r2Dz)
return jJzEr4DyhL6c
|
Microsoft/LightGBM
|
python-package/lightgbm/sklearn.py
|
LGBMModel.get_params
|
def get_params(self, deep=True):
"""Get parameters for this estimator.
Parameters
----------
deep : bool, optional (default=True)
If True, will return the parameters for this estimator and
contained subobjects that are estimators.
Returns
-------
params : dict
Parameter names mapped to their values.
"""
params = super(LGBMModel, self).get_params(deep=deep)
params.update(self._other_params)
return params
|
python
|
def get_params(self, deep=True):
"""Get parameters for this estimator.
Parameters
----------
deep : bool, optional (default=True)
If True, will return the parameters for this estimator and
contained subobjects that are estimators.
Returns
-------
params : dict
Parameter names mapped to their values.
"""
params = super(LGBMModel, self).get_params(deep=deep)
params.update(self._other_params)
return params
|
[
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"(",
"self",
",",
"deep",
"=",
"True",
")",
":",
"params",
"=",
"super",
"(",
"LGBMModel",
",",
"self",
")",
".",
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"(",
"deep",
"=",
"deep",
")",
"params",
".",
"update",
"(",
"self",
".",
"_other_params",
")",
"return",
"params"
] |
Get parameters for this estimator.
Parameters
----------
deep : bool, optional (default=True)
If True, will return the parameters for this estimator and
contained subobjects that are estimators.
Returns
-------
params : dict
Parameter names mapped to their values.
|
[
"Get",
"parameters",
"for",
"this",
"estimator",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/sklearn.py#L293-L309
|
train
|
Returns the parameters for this estimator.
|
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(0b1000100 + 0o53) + chr(51) + chr(0b100001 + 0o25) + chr(1986 - 1932), 0o10), ehT0Px3KOsy9('\060' + chr(10360 - 10249) + chr(1835 - 1785) + chr(0b110010) + chr(48), 0b1000), ehT0Px3KOsy9(chr(1021 - 973) + chr(111) + '\061' + chr(1617 - 1562) + '\066', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(2509 - 2458), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b100110 + 0o13) + chr(1997 - 1944) + chr(0b1 + 0o65), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2119 - 2069) + chr(0b110001) + '\x37', 23704 - 23696), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(0b110010) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b110010) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + '\061' + chr(1294 - 1239) + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1001 + 0o146) + chr(49) + '\063' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + '\x31' + chr(0b110101 + 0o0) + '\x32', 15706 - 15698), ehT0Px3KOsy9(chr(986 - 938) + chr(6506 - 6395) + '\x32' + chr(49) + chr(0b10101 + 0o42), 8), ehT0Px3KOsy9(chr(561 - 513) + chr(111) + chr(51) + chr(0b1000 + 0o56) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(0b11001 + 0o126) + '\063' + '\x30' + '\x34', 41321 - 41313), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(854 - 743) + chr(948 - 899) + chr(0b110000 + 0o4) + chr(2991 - 2936), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x34' + chr(1961 - 1909), 53313 - 53305), ehT0Px3KOsy9('\060' + chr(6111 - 6000) + chr(50) + chr(54) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(0b110011) + '\x35' + chr(1486 - 1436), 12685 - 12677), ehT0Px3KOsy9(chr(1186 - 1138) + chr(0b1001100 + 0o43) + chr(53) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\064', 0b1000), ehT0Px3KOsy9(chr(213 - 165) + chr(7973 - 7862) + chr(0b101111 + 0o3) + '\061' + '\060', 9252 - 9244), ehT0Px3KOsy9('\x30' + chr(0b1100000 + 0o17) + chr(0b110011) + chr(0b110110) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(11630 - 11519) + '\063' + chr(55) + chr(1427 - 1377), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2793 - 2682) + chr(0b10100 + 0o36) + chr(0b11100 + 0o26) + chr(0b10 + 0o57), 0b1000), ehT0Px3KOsy9(chr(1400 - 1352) + chr(0b11101 + 0o122) + chr(51) + '\064' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + chr(0b10110 + 0o34) + chr(0b110010 + 0o5) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6015 - 5904) + chr(55) + '\062', 56416 - 56408), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(0b110110) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(6701 - 6590) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10010 + 0o41) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(522 - 471) + '\x33' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\061' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(206 - 158) + '\157' + chr(1243 - 1194) + '\x36' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7833 - 7722) + chr(0b101001 + 0o12) + chr(0b110011) + chr(0b110100), 8), ehT0Px3KOsy9(chr(560 - 512) + '\157' + '\061' + chr(0b101110 + 0o7) + chr(0b100101 + 0o20), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010010 + 0o35) + chr(0b110001 + 0o0) + chr(60 - 6) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(48) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(0b10010 + 0o36) + chr(0b100001 + 0o21), 0b1000), ehT0Px3KOsy9('\060' + chr(7452 - 7341) + '\061' + chr(0b110111) + chr(0b1101 + 0o43), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(53) + '\x30', 41894 - 41886)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8'), '\144' + chr(5353 - 5252) + chr(99) + '\x6f' + '\x64' + '\145')(chr(0b110110 + 0o77) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(296 - 240)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def k2sGft1Djlhj(oVre8I6UXc3b, _JgLpamLTDEN=ehT0Px3KOsy9(chr(0b110000) + chr(0b1001100 + 0o43) + chr(1856 - 1807), 2942 - 2934)):
nEbJZ4wfte2w = KNx0Ujaz9UM0(adUTf31Vh61R, oVre8I6UXc3b).get_params(deep=_JgLpamLTDEN)
xafqLlk3kkUe(nEbJZ4wfte2w, xafqLlk3kkUe(SXOLrMavuUCe(b'\xac\xe4?^\x07\xc1Y\xfb\x07i\x0f\xbf'), '\144' + chr(0b1011101 + 0o10) + '\143' + chr(0b1101111) + chr(0b11001 + 0o113) + chr(101))('\165' + '\164' + chr(9853 - 9751) + '\055' + chr(0b101101 + 0o13)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\xff\ns\x0b\xfdL\xe5\x1f/\x0b\xe2\x80'), '\144' + chr(7771 - 7670) + '\143' + chr(111) + '\144' + chr(9464 - 9363))('\x75' + chr(13342 - 13226) + chr(6129 - 6027) + '\055' + '\070')))
return nEbJZ4wfte2w
|
Microsoft/LightGBM
|
python-package/lightgbm/sklearn.py
|
LGBMModel.fit
|
def fit(self, X, y,
sample_weight=None, init_score=None, group=None,
eval_set=None, eval_names=None, eval_sample_weight=None,
eval_class_weight=None, eval_init_score=None, eval_group=None,
eval_metric=None, early_stopping_rounds=None, verbose=True,
feature_name='auto', categorical_feature='auto', callbacks=None):
"""Build a gradient boosting model from the training set (X, y).
Parameters
----------
X : array-like or sparse matrix of shape = [n_samples, n_features]
Input feature matrix.
y : array-like of shape = [n_samples]
The target values (class labels in classification, real numbers in regression).
sample_weight : array-like of shape = [n_samples] or None, optional (default=None)
Weights of training data.
init_score : array-like of shape = [n_samples] or None, optional (default=None)
Init score of training data.
group : array-like or None, optional (default=None)
Group data of training data.
eval_set : list or None, optional (default=None)
A list of (X, y) tuple pairs to use as validation sets.
eval_names : list of strings or None, optional (default=None)
Names of eval_set.
eval_sample_weight : list of arrays or None, optional (default=None)
Weights of eval data.
eval_class_weight : list or None, optional (default=None)
Class weights of eval data.
eval_init_score : list of arrays or None, optional (default=None)
Init score of eval data.
eval_group : list of arrays or None, optional (default=None)
Group data of eval data.
eval_metric : string, list of strings, callable or None, optional (default=None)
If string, it should be a built-in evaluation metric to use.
If callable, it should be a custom evaluation metric, see note below for more details.
In either case, the ``metric`` from the model parameters will be evaluated and used as well.
Default: 'l2' for LGBMRegressor, 'logloss' for LGBMClassifier, 'ndcg' for LGBMRanker.
early_stopping_rounds : int or None, optional (default=None)
Activates early stopping. The model will train until the validation score stops improving.
Validation score needs to improve at least every ``early_stopping_rounds`` round(s)
to continue training.
Requires at least one validation data and one metric.
If there's more than one, will check all of them. But the training data is ignored anyway.
To check only the first metric you can pass in ``callbacks``
``early_stopping`` callback with ``first_metric_only=True``.
verbose : bool or int, optional (default=True)
Requires at least one evaluation data.
If True, the eval metric on the eval set is printed at each boosting stage.
If int, the eval metric on the eval set is printed at every ``verbose`` boosting stage.
The last boosting stage or the boosting stage found by using ``early_stopping_rounds`` is also printed.
Example
-------
With ``verbose`` = 4 and at least one item in ``eval_set``,
an evaluation metric is printed every 4 (instead of 1) boosting stages.
feature_name : list of strings or 'auto', optional (default='auto')
Feature names.
If 'auto' and data is pandas DataFrame, data columns names are used.
categorical_feature : list of strings or int, or 'auto', optional (default='auto')
Categorical features.
If list of int, interpreted as indices.
If list of strings, interpreted as feature names (need to specify ``feature_name`` as well).
If 'auto' and data is pandas DataFrame, pandas unordered categorical columns are used.
All values in categorical features should be less than int32 max value (2147483647).
Large values could be memory consuming. Consider using consecutive integers starting from zero.
All negative values in categorical features will be treated as missing values.
callbacks : list of callback functions or None, optional (default=None)
List of callback functions that are applied at each iteration.
See Callbacks in Python API for more information.
Returns
-------
self : object
Returns self.
Note
----
Custom eval function expects a callable with following signatures:
``func(y_true, y_pred)``, ``func(y_true, y_pred, weight)`` or
``func(y_true, y_pred, weight, group)``
and returns (eval_name, eval_result, is_bigger_better) or
list of (eval_name, eval_result, is_bigger_better):
y_true : array-like of shape = [n_samples]
The target values.
y_pred : array-like of shape = [n_samples] or shape = [n_samples * n_classes] (for multi-class task)
The predicted values.
weight : array-like of shape = [n_samples]
The weight of samples.
group : array-like
Group/query data, used for ranking task.
eval_name : string
The name of evaluation.
eval_result : float
The eval result.
is_bigger_better : bool
Is eval result bigger better, e.g. AUC is bigger_better.
For multi-class task, the y_pred is group by class_id first, then group by row_id.
If you want to get i-th row y_pred in j-th class, the access way is y_pred[j * num_data + i].
"""
if self._objective is None:
if isinstance(self, LGBMRegressor):
self._objective = "regression"
elif isinstance(self, LGBMClassifier):
self._objective = "binary"
elif isinstance(self, LGBMRanker):
self._objective = "lambdarank"
else:
raise ValueError("Unknown LGBMModel type.")
if callable(self._objective):
self._fobj = _objective_function_wrapper(self._objective)
else:
self._fobj = None
evals_result = {}
params = self.get_params()
# user can set verbose with kwargs, it has higher priority
if not any(verbose_alias in params for verbose_alias in ('verbose', 'verbosity')) and self.silent:
params['verbose'] = -1
params.pop('silent', None)
params.pop('importance_type', None)
params.pop('n_estimators', None)
params.pop('class_weight', None)
if self._n_classes is not None and self._n_classes > 2:
params['num_class'] = self._n_classes
if hasattr(self, '_eval_at'):
params['eval_at'] = self._eval_at
params['objective'] = self._objective
if self._fobj:
params['objective'] = 'None' # objective = nullptr for unknown objective
if callable(eval_metric):
feval = _eval_function_wrapper(eval_metric)
else:
feval = None
# register default metric for consistency with callable eval_metric case
original_metric = self._objective if isinstance(self._objective, string_type) else None
if original_metric is None:
# try to deduce from class instance
if isinstance(self, LGBMRegressor):
original_metric = "l2"
elif isinstance(self, LGBMClassifier):
original_metric = "multi_logloss" if self._n_classes > 2 else "binary_logloss"
elif isinstance(self, LGBMRanker):
original_metric = "ndcg"
# overwrite default metric by explicitly set metric
for metric_alias in ['metric', 'metrics', 'metric_types']:
if metric_alias in params:
original_metric = params.pop(metric_alias)
# concatenate metric from params (or default if not provided in params) and eval_metric
original_metric = [original_metric] if isinstance(original_metric, (string_type, type(None))) else original_metric
eval_metric = [eval_metric] if isinstance(eval_metric, (string_type, type(None))) else eval_metric
params['metric'] = set(original_metric + eval_metric)
if not isinstance(X, (DataFrame, DataTable)):
_X, _y = _LGBMCheckXY(X, y, accept_sparse=True, force_all_finite=False, ensure_min_samples=2)
_LGBMCheckConsistentLength(_X, _y, sample_weight)
else:
_X, _y = X, y
if self.class_weight is not None:
class_sample_weight = _LGBMComputeSampleWeight(self.class_weight, y)
if sample_weight is None or len(sample_weight) == 0:
sample_weight = class_sample_weight
else:
sample_weight = np.multiply(sample_weight, class_sample_weight)
self._n_features = _X.shape[1]
def _construct_dataset(X, y, sample_weight, init_score, group, params):
ret = Dataset(X, label=y, weight=sample_weight, group=group, params=params)
return ret.set_init_score(init_score)
train_set = _construct_dataset(_X, _y, sample_weight, init_score, group, params)
valid_sets = []
if eval_set is not None:
def _get_meta_data(collection, i):
if collection is None:
return None
elif isinstance(collection, list):
return collection[i] if len(collection) > i else None
elif isinstance(collection, dict):
return collection.get(i, None)
else:
raise TypeError('eval_sample_weight, eval_class_weight, eval_init_score, and eval_group '
'should be dict or list')
if isinstance(eval_set, tuple):
eval_set = [eval_set]
for i, valid_data in enumerate(eval_set):
# reduce cost for prediction training data
if valid_data[0] is X and valid_data[1] is y:
valid_set = train_set
else:
valid_weight = _get_meta_data(eval_sample_weight, i)
if _get_meta_data(eval_class_weight, i) is not None:
valid_class_sample_weight = _LGBMComputeSampleWeight(_get_meta_data(eval_class_weight, i),
valid_data[1])
if valid_weight is None or len(valid_weight) == 0:
valid_weight = valid_class_sample_weight
else:
valid_weight = np.multiply(valid_weight, valid_class_sample_weight)
valid_init_score = _get_meta_data(eval_init_score, i)
valid_group = _get_meta_data(eval_group, i)
valid_set = _construct_dataset(valid_data[0], valid_data[1],
valid_weight, valid_init_score, valid_group, params)
valid_sets.append(valid_set)
self._Booster = train(params, train_set,
self.n_estimators, valid_sets=valid_sets, valid_names=eval_names,
early_stopping_rounds=early_stopping_rounds,
evals_result=evals_result, fobj=self._fobj, feval=feval,
verbose_eval=verbose, feature_name=feature_name,
categorical_feature=categorical_feature,
callbacks=callbacks)
if evals_result:
self._evals_result = evals_result
if early_stopping_rounds is not None:
self._best_iteration = self._Booster.best_iteration
self._best_score = self._Booster.best_score
# free dataset
self.booster_.free_dataset()
del train_set, valid_sets
return self
|
python
|
def fit(self, X, y,
sample_weight=None, init_score=None, group=None,
eval_set=None, eval_names=None, eval_sample_weight=None,
eval_class_weight=None, eval_init_score=None, eval_group=None,
eval_metric=None, early_stopping_rounds=None, verbose=True,
feature_name='auto', categorical_feature='auto', callbacks=None):
"""Build a gradient boosting model from the training set (X, y).
Parameters
----------
X : array-like or sparse matrix of shape = [n_samples, n_features]
Input feature matrix.
y : array-like of shape = [n_samples]
The target values (class labels in classification, real numbers in regression).
sample_weight : array-like of shape = [n_samples] or None, optional (default=None)
Weights of training data.
init_score : array-like of shape = [n_samples] or None, optional (default=None)
Init score of training data.
group : array-like or None, optional (default=None)
Group data of training data.
eval_set : list or None, optional (default=None)
A list of (X, y) tuple pairs to use as validation sets.
eval_names : list of strings or None, optional (default=None)
Names of eval_set.
eval_sample_weight : list of arrays or None, optional (default=None)
Weights of eval data.
eval_class_weight : list or None, optional (default=None)
Class weights of eval data.
eval_init_score : list of arrays or None, optional (default=None)
Init score of eval data.
eval_group : list of arrays or None, optional (default=None)
Group data of eval data.
eval_metric : string, list of strings, callable or None, optional (default=None)
If string, it should be a built-in evaluation metric to use.
If callable, it should be a custom evaluation metric, see note below for more details.
In either case, the ``metric`` from the model parameters will be evaluated and used as well.
Default: 'l2' for LGBMRegressor, 'logloss' for LGBMClassifier, 'ndcg' for LGBMRanker.
early_stopping_rounds : int or None, optional (default=None)
Activates early stopping. The model will train until the validation score stops improving.
Validation score needs to improve at least every ``early_stopping_rounds`` round(s)
to continue training.
Requires at least one validation data and one metric.
If there's more than one, will check all of them. But the training data is ignored anyway.
To check only the first metric you can pass in ``callbacks``
``early_stopping`` callback with ``first_metric_only=True``.
verbose : bool or int, optional (default=True)
Requires at least one evaluation data.
If True, the eval metric on the eval set is printed at each boosting stage.
If int, the eval metric on the eval set is printed at every ``verbose`` boosting stage.
The last boosting stage or the boosting stage found by using ``early_stopping_rounds`` is also printed.
Example
-------
With ``verbose`` = 4 and at least one item in ``eval_set``,
an evaluation metric is printed every 4 (instead of 1) boosting stages.
feature_name : list of strings or 'auto', optional (default='auto')
Feature names.
If 'auto' and data is pandas DataFrame, data columns names are used.
categorical_feature : list of strings or int, or 'auto', optional (default='auto')
Categorical features.
If list of int, interpreted as indices.
If list of strings, interpreted as feature names (need to specify ``feature_name`` as well).
If 'auto' and data is pandas DataFrame, pandas unordered categorical columns are used.
All values in categorical features should be less than int32 max value (2147483647).
Large values could be memory consuming. Consider using consecutive integers starting from zero.
All negative values in categorical features will be treated as missing values.
callbacks : list of callback functions or None, optional (default=None)
List of callback functions that are applied at each iteration.
See Callbacks in Python API for more information.
Returns
-------
self : object
Returns self.
Note
----
Custom eval function expects a callable with following signatures:
``func(y_true, y_pred)``, ``func(y_true, y_pred, weight)`` or
``func(y_true, y_pred, weight, group)``
and returns (eval_name, eval_result, is_bigger_better) or
list of (eval_name, eval_result, is_bigger_better):
y_true : array-like of shape = [n_samples]
The target values.
y_pred : array-like of shape = [n_samples] or shape = [n_samples * n_classes] (for multi-class task)
The predicted values.
weight : array-like of shape = [n_samples]
The weight of samples.
group : array-like
Group/query data, used for ranking task.
eval_name : string
The name of evaluation.
eval_result : float
The eval result.
is_bigger_better : bool
Is eval result bigger better, e.g. AUC is bigger_better.
For multi-class task, the y_pred is group by class_id first, then group by row_id.
If you want to get i-th row y_pred in j-th class, the access way is y_pred[j * num_data + i].
"""
if self._objective is None:
if isinstance(self, LGBMRegressor):
self._objective = "regression"
elif isinstance(self, LGBMClassifier):
self._objective = "binary"
elif isinstance(self, LGBMRanker):
self._objective = "lambdarank"
else:
raise ValueError("Unknown LGBMModel type.")
if callable(self._objective):
self._fobj = _objective_function_wrapper(self._objective)
else:
self._fobj = None
evals_result = {}
params = self.get_params()
# user can set verbose with kwargs, it has higher priority
if not any(verbose_alias in params for verbose_alias in ('verbose', 'verbosity')) and self.silent:
params['verbose'] = -1
params.pop('silent', None)
params.pop('importance_type', None)
params.pop('n_estimators', None)
params.pop('class_weight', None)
if self._n_classes is not None and self._n_classes > 2:
params['num_class'] = self._n_classes
if hasattr(self, '_eval_at'):
params['eval_at'] = self._eval_at
params['objective'] = self._objective
if self._fobj:
params['objective'] = 'None' # objective = nullptr for unknown objective
if callable(eval_metric):
feval = _eval_function_wrapper(eval_metric)
else:
feval = None
# register default metric for consistency with callable eval_metric case
original_metric = self._objective if isinstance(self._objective, string_type) else None
if original_metric is None:
# try to deduce from class instance
if isinstance(self, LGBMRegressor):
original_metric = "l2"
elif isinstance(self, LGBMClassifier):
original_metric = "multi_logloss" if self._n_classes > 2 else "binary_logloss"
elif isinstance(self, LGBMRanker):
original_metric = "ndcg"
# overwrite default metric by explicitly set metric
for metric_alias in ['metric', 'metrics', 'metric_types']:
if metric_alias in params:
original_metric = params.pop(metric_alias)
# concatenate metric from params (or default if not provided in params) and eval_metric
original_metric = [original_metric] if isinstance(original_metric, (string_type, type(None))) else original_metric
eval_metric = [eval_metric] if isinstance(eval_metric, (string_type, type(None))) else eval_metric
params['metric'] = set(original_metric + eval_metric)
if not isinstance(X, (DataFrame, DataTable)):
_X, _y = _LGBMCheckXY(X, y, accept_sparse=True, force_all_finite=False, ensure_min_samples=2)
_LGBMCheckConsistentLength(_X, _y, sample_weight)
else:
_X, _y = X, y
if self.class_weight is not None:
class_sample_weight = _LGBMComputeSampleWeight(self.class_weight, y)
if sample_weight is None or len(sample_weight) == 0:
sample_weight = class_sample_weight
else:
sample_weight = np.multiply(sample_weight, class_sample_weight)
self._n_features = _X.shape[1]
def _construct_dataset(X, y, sample_weight, init_score, group, params):
ret = Dataset(X, label=y, weight=sample_weight, group=group, params=params)
return ret.set_init_score(init_score)
train_set = _construct_dataset(_X, _y, sample_weight, init_score, group, params)
valid_sets = []
if eval_set is not None:
def _get_meta_data(collection, i):
if collection is None:
return None
elif isinstance(collection, list):
return collection[i] if len(collection) > i else None
elif isinstance(collection, dict):
return collection.get(i, None)
else:
raise TypeError('eval_sample_weight, eval_class_weight, eval_init_score, and eval_group '
'should be dict or list')
if isinstance(eval_set, tuple):
eval_set = [eval_set]
for i, valid_data in enumerate(eval_set):
# reduce cost for prediction training data
if valid_data[0] is X and valid_data[1] is y:
valid_set = train_set
else:
valid_weight = _get_meta_data(eval_sample_weight, i)
if _get_meta_data(eval_class_weight, i) is not None:
valid_class_sample_weight = _LGBMComputeSampleWeight(_get_meta_data(eval_class_weight, i),
valid_data[1])
if valid_weight is None or len(valid_weight) == 0:
valid_weight = valid_class_sample_weight
else:
valid_weight = np.multiply(valid_weight, valid_class_sample_weight)
valid_init_score = _get_meta_data(eval_init_score, i)
valid_group = _get_meta_data(eval_group, i)
valid_set = _construct_dataset(valid_data[0], valid_data[1],
valid_weight, valid_init_score, valid_group, params)
valid_sets.append(valid_set)
self._Booster = train(params, train_set,
self.n_estimators, valid_sets=valid_sets, valid_names=eval_names,
early_stopping_rounds=early_stopping_rounds,
evals_result=evals_result, fobj=self._fobj, feval=feval,
verbose_eval=verbose, feature_name=feature_name,
categorical_feature=categorical_feature,
callbacks=callbacks)
if evals_result:
self._evals_result = evals_result
if early_stopping_rounds is not None:
self._best_iteration = self._Booster.best_iteration
self._best_score = self._Booster.best_score
# free dataset
self.booster_.free_dataset()
del train_set, valid_sets
return self
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Build a gradient boosting model from the training set (X, y).
Parameters
----------
X : array-like or sparse matrix of shape = [n_samples, n_features]
Input feature matrix.
y : array-like of shape = [n_samples]
The target values (class labels in classification, real numbers in regression).
sample_weight : array-like of shape = [n_samples] or None, optional (default=None)
Weights of training data.
init_score : array-like of shape = [n_samples] or None, optional (default=None)
Init score of training data.
group : array-like or None, optional (default=None)
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eval_names : list of strings or None, optional (default=None)
Names of eval_set.
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Weights of eval data.
eval_class_weight : list or None, optional (default=None)
Class weights of eval data.
eval_init_score : list of arrays or None, optional (default=None)
Init score of eval data.
eval_group : list of arrays or None, optional (default=None)
Group data of eval data.
eval_metric : string, list of strings, callable or None, optional (default=None)
If string, it should be a built-in evaluation metric to use.
If callable, it should be a custom evaluation metric, see note below for more details.
In either case, the ``metric`` from the model parameters will be evaluated and used as well.
Default: 'l2' for LGBMRegressor, 'logloss' for LGBMClassifier, 'ndcg' for LGBMRanker.
early_stopping_rounds : int or None, optional (default=None)
Activates early stopping. The model will train until the validation score stops improving.
Validation score needs to improve at least every ``early_stopping_rounds`` round(s)
to continue training.
Requires at least one validation data and one metric.
If there's more than one, will check all of them. But the training data is ignored anyway.
To check only the first metric you can pass in ``callbacks``
``early_stopping`` callback with ``first_metric_only=True``.
verbose : bool or int, optional (default=True)
Requires at least one evaluation data.
If True, the eval metric on the eval set is printed at each boosting stage.
If int, the eval metric on the eval set is printed at every ``verbose`` boosting stage.
The last boosting stage or the boosting stage found by using ``early_stopping_rounds`` is also printed.
Example
-------
With ``verbose`` = 4 and at least one item in ``eval_set``,
an evaluation metric is printed every 4 (instead of 1) boosting stages.
feature_name : list of strings or 'auto', optional (default='auto')
Feature names.
If 'auto' and data is pandas DataFrame, data columns names are used.
categorical_feature : list of strings or int, or 'auto', optional (default='auto')
Categorical features.
If list of int, interpreted as indices.
If list of strings, interpreted as feature names (need to specify ``feature_name`` as well).
If 'auto' and data is pandas DataFrame, pandas unordered categorical columns are used.
All values in categorical features should be less than int32 max value (2147483647).
Large values could be memory consuming. Consider using consecutive integers starting from zero.
All negative values in categorical features will be treated as missing values.
callbacks : list of callback functions or None, optional (default=None)
List of callback functions that are applied at each iteration.
See Callbacks in Python API for more information.
Returns
-------
self : object
Returns self.
Note
----
Custom eval function expects a callable with following signatures:
``func(y_true, y_pred)``, ``func(y_true, y_pred, weight)`` or
``func(y_true, y_pred, weight, group)``
and returns (eval_name, eval_result, is_bigger_better) or
list of (eval_name, eval_result, is_bigger_better):
y_true : array-like of shape = [n_samples]
The target values.
y_pred : array-like of shape = [n_samples] or shape = [n_samples * n_classes] (for multi-class task)
The predicted values.
weight : array-like of shape = [n_samples]
The weight of samples.
group : array-like
Group/query data, used for ranking task.
eval_name : string
The name of evaluation.
eval_result : float
The eval result.
is_bigger_better : bool
Is eval result bigger better, e.g. AUC is bigger_better.
For multi-class task, the y_pred is group by class_id first, then group by row_id.
If you want to get i-th row y_pred in j-th class, the access way is y_pred[j * num_data + i].
|
[
"Build",
"a",
"gradient",
"boosting",
"model",
"from",
"the",
"training",
"set",
"(",
"X",
"y",
")",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/sklearn.py#L332-L562
|
train
|
Fits a gradient boosting model from the training set X and y.
|
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(0b100111 + 0o11) + chr(0b1101111) + '\063' + '\066' + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(6804 - 6693) + chr(50) + chr(2041 - 1991), 2637 - 2629), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b111101 + 0o62) + '\065' + chr(1454 - 1403), 0b1000), ehT0Px3KOsy9('\x30' + chr(4490 - 4379) + chr(0b110010) + chr(52) + chr(0b110101), 35100 - 35092), ehT0Px3KOsy9('\x30' + '\x6f' + chr(52) + chr(905 - 855), 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + '\x36' + chr(1494 - 1445), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(2404 - 2353) + chr(0b110001) + chr(492 - 437), 0b1000), ehT0Px3KOsy9(chr(1425 - 1377) + chr(10614 - 10503) + chr(0b10101 + 0o34) + chr(0b100001 + 0o17) + '\x37', 0b1000), ehT0Px3KOsy9(chr(53 - 5) + chr(530 - 419) + '\x33' + chr(0b110000) + chr(968 - 914), 0o10), ehT0Px3KOsy9(chr(2018 - 1970) + chr(0b1101111) + chr(0b101010 + 0o14) + chr(1982 - 1931), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10110 + 0o131) + chr(0b110011) + chr(0b101000 + 0o11) + chr(0b1101 + 0o46), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(0b110001) + '\066', 48314 - 48306), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1111 + 0o43) + '\x32' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(9538 - 9427) + '\062' + chr(1661 - 1611) + '\060', 15811 - 15803), ehT0Px3KOsy9('\060' + chr(0b11110 + 0o121) + '\061' + chr(53) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(4650 - 4539) + chr(1435 - 1382) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\x34' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1000001 + 0o56) + chr(0b0 + 0o61) + '\x33' + chr(2033 - 1982), 36570 - 36562), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10101 + 0o36) + '\x32' + chr(2603 - 2551), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b110011) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11100 + 0o27) + chr(0b110100) + chr(53), 17977 - 17969), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001000 + 0o47) + '\x33' + chr(1750 - 1699) + chr(0b110001), 53584 - 53576), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b110101) + chr(49), 27197 - 27189), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(0b110001 + 0o3) + chr(0b110101), 8), ehT0Px3KOsy9('\x30' + chr(1269 - 1158) + chr(1479 - 1430) + '\067' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(9907 - 9796) + '\067' + '\061', 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(51) + chr(0b110110) + chr(50), 8), ehT0Px3KOsy9(chr(2147 - 2099) + chr(1713 - 1602) + '\063' + chr(0b1100 + 0o52) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1000110 + 0o51) + chr(51) + chr(0b110010) + chr(0b1000 + 0o54), 8), ehT0Px3KOsy9(chr(0b110000) + chr(5061 - 4950) + chr(0b110101) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(0b10100 + 0o42) + chr(0b110101), 45489 - 45481), ehT0Px3KOsy9('\060' + chr(3537 - 3426) + chr(0b110010) + chr(1280 - 1232) + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(459 - 409) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101011 + 0o4) + '\062' + chr(0b110001) + chr(0b101000 + 0o12), 8164 - 8156), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(0b110110) + chr(1961 - 1912), ord("\x08")), ehT0Px3KOsy9(chr(244 - 196) + chr(111) + chr(0b10110 + 0o34) + '\x31' + chr(2426 - 2373), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2529 - 2418) + chr(1290 - 1239) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10011 + 0o37), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000100 + 0o53) + '\063' + chr(1325 - 1273), 3388 - 3380)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(377 - 329) + chr(0b1010 + 0o145) + chr(0b110101) + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc'), chr(6607 - 6507) + '\145' + chr(0b1100011) + '\157' + '\x64' + chr(0b1100101))('\x75' + chr(0b1110100) + chr(102) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def gggbGMeQaMBR(oVre8I6UXc3b, xEgrFJ0REugl, SqiSOtYOqOJH, dKFzs5yZvThT=None, XcnKSna3Kib3=None, N9UnmYvaW1pO=None, B9iBAprBc4Cc=None, DgHfqQgK_9lu=None, S8TIBQnWz3zF=None, tqadcWSBKPNT=None, vykUAHlk8wVl=None, hdwZlgmg9A03=None, tbbpbfMnen5w=None, k4mrqJWJE3I8=None, j5jgrsOGZdZ4=ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(0b110001), ord("\x08")), lPuZQT6rFAxL=xafqLlk3kkUe(SXOLrMavuUCe(b'\x93g~D'), chr(9408 - 9308) + chr(0b100110 + 0o77) + '\143' + chr(0b1101111) + chr(0b11100 + 0o110) + chr(0b1100101))('\x75' + '\164' + chr(3024 - 2922) + chr(45) + chr(0b101111 + 0o11)), G2CxGplaqd7R=xafqLlk3kkUe(SXOLrMavuUCe(b'\x93g~D'), chr(100) + chr(0b1100101) + chr(0b111011 + 0o50) + '\x6f' + chr(2794 - 2694) + chr(101))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(3020 - 2964)), PX4b0z2UpTWH=None):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xad}hA\xc0AE\xa61\xa3'), chr(0b101111 + 0o65) + chr(101) + '\x63' + '\x6f' + '\x64' + chr(3364 - 3263))('\x75' + chr(116) + chr(0b1100110) + chr(0b1 + 0o54) + chr(290 - 234))) is None:
if PlSM16l2KDPD(oVre8I6UXc3b, m0qHPZ4lLfmT):
oVre8I6UXc3b.LNQECU9S0qtD = xafqLlk3kkUe(SXOLrMavuUCe(b'\x80wmY\xc0QB\xa6(\xa8'), '\x64' + '\x65' + '\143' + '\157' + chr(100) + '\x65')(chr(0b1110101) + '\164' + chr(0b0 + 0o146) + chr(45) + chr(56))
elif PlSM16l2KDPD(oVre8I6UXc3b, E767K3_VwyGU):
oVre8I6UXc3b.LNQECU9S0qtD = xafqLlk3kkUe(SXOLrMavuUCe(b'\x90{dJ\xd7['), chr(4651 - 4551) + chr(0b1011011 + 0o12) + chr(0b11110 + 0o105) + '\x6f' + '\x64' + '\145')(chr(11100 - 10983) + '\164' + chr(5672 - 5570) + chr(0b1010 + 0o43) + chr(0b10101 + 0o43))
elif PlSM16l2KDPD(oVre8I6UXc3b, Vlv1VWC5d4be):
oVre8I6UXc3b.LNQECU9S0qtD = xafqLlk3kkUe(SXOLrMavuUCe(b'\x9esgI\xc1CC\xae)\xad'), '\x64' + chr(2722 - 2621) + '\x63' + chr(5624 - 5513) + chr(0b11110 + 0o106) + '\x65')('\x75' + '\164' + '\146' + chr(0b101101) + chr(0b111000))
else:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7|aE\xcaU_\xef\x0b\x81q\x86C\xf9\xf4\nE\xc6/\xad\xe9\x80\xf7'), '\144' + chr(0b1011101 + 0o10) + chr(0b1100011) + chr(8092 - 7981) + chr(0b1000011 + 0o41) + chr(0b1100101))(chr(0b1110101) + chr(0b1011100 + 0o30) + chr(7416 - 7314) + chr(0b10010 + 0o33) + chr(0b111000)))
if tzcpInYwBvYW(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\\[n\xe6w\x08\x9cw\xb7G\x8f'), '\144' + chr(0b11 + 0o142) + chr(0b1100011) + chr(0b110001 + 0o76) + chr(0b1010101 + 0o17) + '\145')(chr(0b1110101) + '\164' + '\x66' + '\055' + chr(56)))):
oVre8I6UXc3b.vXdrcHdMqV4g = VWEBsp4Ek_RG(oVre8I6UXc3b.LNQECU9S0qtD)
else:
oVre8I6UXc3b.vXdrcHdMqV4g = None
nBtR31W_gjTY = {}
nEbJZ4wfte2w = oVre8I6UXc3b.get_params()
if not UVSi4XW7eBIM((vEPN5pXoOjkR in nEbJZ4wfte2w for vEPN5pXoOjkR in (xafqLlk3kkUe(SXOLrMavuUCe(b'\x84wxI\xcaQT'), '\x64' + '\x65' + '\143' + '\157' + chr(2253 - 2153) + '\x65')(chr(8876 - 8759) + '\x74' + chr(0b1100110) + '\x2d' + chr(0b100010 + 0o26)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x84wxI\xcaQX\xbb>'), chr(1539 - 1439) + chr(0b0 + 0o145) + chr(0b1001011 + 0o30) + chr(0b1101111) + chr(5011 - 4911) + chr(0b1100101))(chr(117) + chr(5431 - 5315) + chr(102) + chr(1640 - 1595) + chr(374 - 318))))) and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x81{fN\xcbV'), chr(1646 - 1546) + '\x65' + '\x63' + chr(111) + chr(0b1100100) + chr(101))(chr(117) + chr(0b1110100) + chr(0b100100 + 0o102) + chr(1559 - 1514) + chr(56))):
nEbJZ4wfte2w[xafqLlk3kkUe(SXOLrMavuUCe(b'\x84wxI\xcaQT'), chr(0b111010 + 0o52) + chr(101) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(0b1000110 + 0o37))('\165' + '\164' + chr(3771 - 3669) + '\055' + chr(531 - 475))] = -ehT0Px3KOsy9('\x30' + chr(111) + '\061', 8)
xafqLlk3kkUe(nEbJZ4wfte2w, xafqLlk3kkUe(SXOLrMavuUCe(b'\x82}z'), chr(1256 - 1156) + chr(101) + '\x63' + chr(111) + '\x64' + '\145')('\x75' + chr(0b1110100) + chr(4398 - 4296) + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x81{fN\xcbV'), chr(3706 - 3606) + chr(6979 - 6878) + chr(0b111111 + 0o44) + chr(0b1101111) + chr(100) + chr(0b111110 + 0o47))('\165' + chr(0b1011 + 0o151) + '\x66' + '\x2d' + chr(0b100 + 0o64)), None)
xafqLlk3kkUe(nEbJZ4wfte2w, xafqLlk3kkUe(SXOLrMavuUCe(b'\x82}z'), chr(0b101001 + 0o73) + chr(3328 - 3227) + '\x63' + chr(11416 - 11305) + chr(771 - 671) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x7fzD\xd7VP\xa1$\xa3l\xbfw\xe6\xf5'), chr(3749 - 3649) + chr(0b110101 + 0o60) + chr(0b1010101 + 0o16) + '\x6f' + chr(0b1100100) + chr(152 - 51))('\165' + '\x74' + chr(0b1010011 + 0o23) + '\x2d' + chr(0b111000)), None)
xafqLlk3kkUe(nEbJZ4wfte2w, xafqLlk3kkUe(SXOLrMavuUCe(b'\x82}z'), chr(0b111100 + 0o50) + chr(1130 - 1029) + '\143' + chr(8532 - 8421) + chr(0b1111 + 0o125) + '\x65')(chr(117) + '\164' + chr(0b1010100 + 0o22) + '\x2d' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9cMoX\xd1K\\\xae3\xa9A\xb8'), chr(6507 - 6407) + '\x65' + chr(8848 - 8749) + chr(0b101111 + 0o100) + chr(419 - 319) + chr(0b111010 + 0o53))(chr(8776 - 8659) + chr(0b1110100) + chr(0b1011110 + 0o10) + '\055' + chr(0b100110 + 0o22)), None)
xafqLlk3kkUe(nEbJZ4wfte2w, xafqLlk3kkUe(SXOLrMavuUCe(b'\x82}z'), chr(1295 - 1195) + chr(0b1100 + 0o131) + chr(0b1000101 + 0o36) + '\x6f' + chr(0b1000111 + 0o35) + chr(0b101001 + 0o74))(chr(1931 - 1814) + '\x74' + chr(0b101100 + 0o72) + chr(0b101101 + 0o0) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x91~kX\xd6}F\xaa.\xa1[\xbf'), chr(0b1100100) + '\145' + '\143' + chr(0b101010 + 0o105) + '\144' + '\145')(chr(0b11001 + 0o134) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(2799 - 2743)), None)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xad|UH\xc9CB\xbc"\xb5'), chr(100) + chr(101) + chr(0b100 + 0o137) + chr(0b1101111) + '\144' + '\x65')(chr(0b1110101) + chr(0b1001001 + 0o53) + '\146' + chr(0b101101) + chr(56))) is not None and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xad|UH\xc9CB\xbc"\xb5'), chr(100) + '\145' + chr(2010 - 1911) + '\x6f' + chr(0b1100100) + '\x65')('\x75' + '\x74' + chr(102) + chr(0b101101) + '\x38')) > ehT0Px3KOsy9(chr(1459 - 1411) + '\157' + chr(0b110010), 8):
nEbJZ4wfte2w[xafqLlk3kkUe(SXOLrMavuUCe(b'\x9cggt\xc6NP\xbc4'), chr(100) + chr(101) + chr(99) + '\157' + '\144' + '\x65')('\165' + chr(0b1001110 + 0o46) + chr(0b1100110) + chr(1254 - 1209) + chr(218 - 162))] = oVre8I6UXc3b._n_classes
if lot1PSoAwYhj(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xadw|J\xc9}P\xbb'), chr(0b1100100) + '\x65' + '\x63' + chr(111) + chr(0b1001100 + 0o30) + chr(0b1010110 + 0o17))('\165' + '\164' + '\x66' + '\055' + chr(56))):
nEbJZ4wfte2w[xafqLlk3kkUe(SXOLrMavuUCe(b'\x97dkG\xfaCE'), chr(0b111011 + 0o51) + chr(101) + '\x63' + '\x6f' + '\144' + chr(101))(chr(8862 - 8745) + '\164' + chr(0b101100 + 0o72) + '\x2d' + '\x38')] = oVre8I6UXc3b._eval_at
nEbJZ4wfte2w[xafqLlk3kkUe(SXOLrMavuUCe(b'\x9dp`N\xc6VX\xb9"'), chr(0b1100100) + chr(3285 - 3184) + '\143' + chr(0b1101100 + 0o3) + chr(0b1000 + 0o134) + chr(101))('\x75' + chr(7242 - 7126) + chr(102) + chr(444 - 399) + chr(0b111000))] = oVre8I6UXc3b.LNQECU9S0qtD
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x84JnY\xc6jU\x826\x90\x07\xac'), chr(0b1011000 + 0o14) + '\x65' + '\143' + chr(111) + chr(0b1100100) + chr(0b110010 + 0o63))('\165' + chr(0b11000 + 0o134) + chr(8894 - 8792) + chr(0b1100 + 0o41) + chr(56))):
nEbJZ4wfte2w[xafqLlk3kkUe(SXOLrMavuUCe(b'\x9dp`N\xc6VX\xb9"'), chr(3789 - 3689) + '\145' + '\143' + chr(0b1101111) + '\144' + chr(0b1100101))('\x75' + '\x74' + '\x66' + chr(0b101001 + 0o4) + chr(319 - 263))] = xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc}dN'), chr(2748 - 2648) + '\145' + chr(99) + chr(9491 - 9380) + chr(0b100100 + 0o100) + chr(0b1100101))(chr(0b111011 + 0o72) + '\164' + chr(0b1100110) + '\055' + '\070')
if tzcpInYwBvYW(tbbpbfMnen5w):
VcFaHHaIedSQ = EJd088VfaY3p(tbbpbfMnen5w)
else:
VcFaHHaIedSQ = None
yFFvLqCZV8HC = oVre8I6UXc3b.LNQECU9S0qtD if PlSM16l2KDPD(oVre8I6UXc3b.LNQECU9S0qtD, E3_9psoau2Vm) else None
if yFFvLqCZV8HC is None:
if PlSM16l2KDPD(oVre8I6UXc3b, m0qHPZ4lLfmT):
yFFvLqCZV8HC = xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e '), chr(0b1100100) + chr(101) + chr(2002 - 1903) + chr(0b1101110 + 0o1) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(9657 - 9555) + chr(0b101101) + '\x38')
elif PlSM16l2KDPD(oVre8I6UXc3b, E767K3_VwyGU):
yFFvLqCZV8HC = xafqLlk3kkUe(SXOLrMavuUCe(b'\x9fgf_\xcc}]\xa0 \xaa\\\xb8}'), chr(0b1100100) + chr(0b1011 + 0o132) + '\x63' + '\x6f' + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(0b11 + 0o52) + chr(0b111000)) if oVre8I6UXc3b._n_classes > ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010), 8) else xafqLlk3kkUe(SXOLrMavuUCe(b'\x90{dJ\xd7[n\xa3(\xa1_\xa4}\xe5'), '\x64' + chr(0b110011 + 0o62) + '\143' + chr(0b1101111) + chr(0b10011 + 0o121) + '\145')(chr(0b11 + 0o162) + chr(0b1010110 + 0o36) + '\x66' + chr(0b101101) + '\x38')
elif PlSM16l2KDPD(oVre8I6UXc3b, Vlv1VWC5d4be):
yFFvLqCZV8HC = xafqLlk3kkUe(SXOLrMavuUCe(b'\x9cviL'), chr(0b1100100) + chr(0b1000100 + 0o41) + chr(1475 - 1376) + chr(0b10100 + 0o133) + '\144' + '\145')(chr(117) + '\x74' + chr(0b11 + 0o143) + chr(1661 - 1616) + '\070')
for kWm3CZXZXmqK in [xafqLlk3kkUe(SXOLrMavuUCe(b'\x9fw~Y\xccA'), chr(0b1100100) + '\145' + chr(422 - 323) + chr(0b1101111) + chr(0b1100100) + chr(0b1011010 + 0o13))(chr(3424 - 3307) + chr(0b1110100) + '\146' + '\055' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9fw~Y\xccAB'), '\x64' + chr(101) + chr(0b11000 + 0o113) + chr(0b1001000 + 0o47) + '\x64' + chr(0b110000 + 0o65))(chr(0b1101110 + 0o7) + chr(0b101111 + 0o105) + chr(102) + '\055' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9fw~Y\xccAn\xbb>\xb6V\xb8'), chr(100) + chr(2725 - 2624) + '\143' + chr(0b100100 + 0o113) + '\x64' + chr(0b1100101))(chr(117) + '\x74' + chr(0b1100110) + '\x2d' + '\x38')]:
if kWm3CZXZXmqK in nEbJZ4wfte2w:
yFFvLqCZV8HC = nEbJZ4wfte2w.pop(kWm3CZXZXmqK)
yFFvLqCZV8HC = [yFFvLqCZV8HC] if PlSM16l2KDPD(yFFvLqCZV8HC, (E3_9psoau2Vm, wmQmyeWBmUpv(None))) else yFFvLqCZV8HC
tbbpbfMnen5w = [tbbpbfMnen5w] if PlSM16l2KDPD(tbbpbfMnen5w, (E3_9psoau2Vm, wmQmyeWBmUpv(None))) else tbbpbfMnen5w
nEbJZ4wfte2w[xafqLlk3kkUe(SXOLrMavuUCe(b'\x9fw~Y\xccA'), '\x64' + '\x65' + '\x63' + chr(0b1001010 + 0o45) + chr(0b0 + 0o144) + chr(101))(chr(117) + chr(12568 - 12452) + chr(0b1011110 + 0o10) + chr(45) + chr(0b111000))] = MVEN8G6CxlvR(yFFvLqCZV8HC + tbbpbfMnen5w)
if not PlSM16l2KDPD(xEgrFJ0REugl, (TTWbaLX2VikC, eOstMbTB25dN)):
(MGE4ETcfzzFB, CQt8ijsC_TMG) = YgOf9QOSEtYA(xEgrFJ0REugl, SqiSOtYOqOJH, accept_sparse=ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(0b110001), 8), force_all_finite=ehT0Px3KOsy9('\060' + chr(0b110001 + 0o76) + chr(0b100011 + 0o15), 0b1000), ensure_min_samples=ehT0Px3KOsy9(chr(745 - 697) + chr(0b1101111) + '\x32', 8))
wkXnEHdHmi1h(MGE4ETcfzzFB, CQt8ijsC_TMG, dKFzs5yZvThT)
else:
(MGE4ETcfzzFB, CQt8ijsC_TMG) = (xEgrFJ0REugl, SqiSOtYOqOJH)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x91~kX\xd6}F\xaa.\xa1[\xbf'), chr(0b11101 + 0o107) + chr(0b1000000 + 0o45) + chr(0b1100011) + '\157' + '\144' + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(0b1100110) + '\055' + '\x38')) is not None:
w9PMdXBTnwvs = oEzisPfYJRW9(oVre8I6UXc3b.class_weight, SqiSOtYOqOJH)
if dKFzs5yZvThT is None or c2A0yzQpDQB3(dKFzs5yZvThT) == ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(1621 - 1510) + chr(1371 - 1323), 8):
dKFzs5yZvThT = w9PMdXBTnwvs
else:
dKFzs5yZvThT = WqUC3KWvYVup.multiply(dKFzs5yZvThT, w9PMdXBTnwvs)
oVre8I6UXc3b.Y8i4N0PqZyiu = MGE4ETcfzzFB.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(0b110001), 8)]
def GqJYGwSj8Nyu(xEgrFJ0REugl, SqiSOtYOqOJH, dKFzs5yZvThT, XcnKSna3Kib3, N9UnmYvaW1pO, nEbJZ4wfte2w):
VHn4CV4Ymrei = aV89os75KJXF(xEgrFJ0REugl, label=SqiSOtYOqOJH, weight=dKFzs5yZvThT, group=N9UnmYvaW1pO, params=nEbJZ4wfte2w)
return xafqLlk3kkUe(VHn4CV4Ymrei, xafqLlk3kkUe(SXOLrMavuUCe(b'\x81w~t\xccLX\xbb\x18\xb5P\xa4|\xf3'), chr(100) + chr(101) + chr(2496 - 2397) + chr(0b1001000 + 0o47) + '\144' + chr(101))(chr(0b101101 + 0o110) + '\164' + chr(9287 - 9185) + '\x2d' + '\x38'))(XcnKSna3Kib3)
MMFTHZ7bTh0o = GqJYGwSj8Nyu(MGE4ETcfzzFB, CQt8ijsC_TMG, dKFzs5yZvThT, XcnKSna3Kib3, N9UnmYvaW1pO, nEbJZ4wfte2w)
Pg695niCgYoB = []
if B9iBAprBc4Cc is not None:
def cTphUBJL7srq(ftKNTjy9Pkr_, WVxHKyX45z_L):
if ftKNTjy9Pkr_ is None:
return None
elif PlSM16l2KDPD(ftKNTjy9Pkr_, YyaZ4tpXu4lf):
return ftKNTjy9Pkr_[WVxHKyX45z_L] if c2A0yzQpDQB3(ftKNTjy9Pkr_) > WVxHKyX45z_L else None
elif PlSM16l2KDPD(ftKNTjy9Pkr_, wLqBDw8l0eIm):
return xafqLlk3kkUe(ftKNTjy9Pkr_, xafqLlk3kkUe(SXOLrMavuUCe(b'\x95w~'), chr(3531 - 3431) + chr(0b1010010 + 0o23) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(8413 - 8312))('\165' + chr(12361 - 12245) + '\x66' + chr(0b101 + 0o50) + chr(782 - 726)))(WVxHKyX45z_L, None)
else:
raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'\x97dkG\xfaQP\xa27\xaaV\x94y\xf3\xf9\x08A\x92w\xf4\xfc\x93\xb8\x85\xfa\x19U\x93\x87\xa7w\x02\xe3y\xed\xd9\xf97"y\x84sft\xccLX\xbb\x18\xb5P\xa4|\xf3\xbcOH\x88?\xf4\xfc\x93\xb8\x85\xfa\x1dK\x9d\x81\xa4\x08\x06\xee\x7f\xff\xdd\xe9;`y\xd2vcH\xd1\x02^\xbdg\xaaZ\xb8z'), '\144' + chr(7760 - 7659) + chr(788 - 689) + '\157' + '\144' + chr(101))(chr(0b100001 + 0o124) + '\164' + chr(0b1100110) + '\x2d' + '\x38'))
if PlSM16l2KDPD(B9iBAprBc4Cc, KNyTy8rYcwji):
B9iBAprBc4Cc = [B9iBAprBc4Cc]
for (WVxHKyX45z_L, kOCNKzfvgSXY) in YlkZvXL8qwsX(B9iBAprBc4Cc):
if kOCNKzfvgSXY[ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(3641 - 3530) + '\060', 8)] is xEgrFJ0REugl and kOCNKzfvgSXY[ehT0Px3KOsy9('\060' + '\157' + '\061', 8)] is SqiSOtYOqOJH:
YzYECoZtWlmN = MMFTHZ7bTh0o
else:
vwCKODpggxgD = cTphUBJL7srq(S8TIBQnWz3zF, WVxHKyX45z_L)
if cTphUBJL7srq(tqadcWSBKPNT, WVxHKyX45z_L) is not None:
z3szpuzmaf8q = oEzisPfYJRW9(cTphUBJL7srq(tqadcWSBKPNT, WVxHKyX45z_L), kOCNKzfvgSXY[ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001), 8)])
if vwCKODpggxgD is None or c2A0yzQpDQB3(vwCKODpggxgD) == ehT0Px3KOsy9('\x30' + chr(0b1100 + 0o143) + chr(2080 - 2032), 8):
vwCKODpggxgD = z3szpuzmaf8q
else:
vwCKODpggxgD = WqUC3KWvYVup.multiply(vwCKODpggxgD, z3szpuzmaf8q)
HBETtfEfuLcT = cTphUBJL7srq(vykUAHlk8wVl, WVxHKyX45z_L)
oBty_ailRrHk = cTphUBJL7srq(hdwZlgmg9A03, WVxHKyX45z_L)
YzYECoZtWlmN = GqJYGwSj8Nyu(kOCNKzfvgSXY[ehT0Px3KOsy9(chr(48) + chr(111) + '\x30', 8)], kOCNKzfvgSXY[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2060 - 2011), 8)], vwCKODpggxgD, HBETtfEfuLcT, oBty_ailRrHk, nEbJZ4wfte2w)
xafqLlk3kkUe(Pg695niCgYoB, xafqLlk3kkUe(SXOLrMavuUCe(b'\x93bzN\xcbF'), '\144' + '\145' + chr(99) + '\x6f' + chr(100) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(102) + chr(45) + '\070'))(YzYECoZtWlmN)
oVre8I6UXc3b.lxpinHwCmUpc = e80gRioCjdat(nEbJZ4wfte2w, MMFTHZ7bTh0o, oVre8I6UXc3b.n_estimators, valid_sets=Pg695niCgYoB, valid_names=DgHfqQgK_9lu, early_stopping_rounds=k4mrqJWJE3I8, evals_result=nBtR31W_gjTY, fobj=oVre8I6UXc3b.vXdrcHdMqV4g, feval=VcFaHHaIedSQ, verbose_eval=j5jgrsOGZdZ4, feature_name=lPuZQT6rFAxL, categorical_feature=G2CxGplaqd7R, callbacks=PX4b0z2UpTWH)
if nBtR31W_gjTY:
oVre8I6UXc3b.wAu91qZvmCQc = nBtR31W_gjTY
if k4mrqJWJE3I8 is not None:
oVre8I6UXc3b.QzY7iRF308tN = oVre8I6UXc3b._Booster.Wvr86fkbsoQE
oVre8I6UXc3b.Tfyll7dRAO9d = oVre8I6UXc3b._Booster.kSswkTBYPNvZ
xafqLlk3kkUe(oVre8I6UXc3b.booster_, xafqLlk3kkUe(SXOLrMavuUCe(b'\x94`oN\xfaFP\xbb&\xb5V\xbf'), '\144' + chr(0b1100101) + chr(99) + chr(12156 - 12045) + chr(0b1100100) + '\145')('\165' + chr(116) + '\x66' + chr(45) + '\070'))()
del MMFTHZ7bTh0o, Pg695niCgYoB
return oVre8I6UXc3b
|
Microsoft/LightGBM
|
python-package/lightgbm/sklearn.py
|
LGBMModel.predict
|
def predict(self, X, raw_score=False, num_iteration=None,
pred_leaf=False, pred_contrib=False, **kwargs):
"""Return the predicted value for each sample.
Parameters
----------
X : array-like or sparse matrix of shape = [n_samples, n_features]
Input features matrix.
raw_score : bool, optional (default=False)
Whether to predict raw scores.
num_iteration : int or None, optional (default=None)
Limit number of iterations in the prediction.
If None, if the best iteration exists, it is used; otherwise, all trees are used.
If <= 0, all trees are used (no limits).
pred_leaf : bool, optional (default=False)
Whether to predict leaf index.
pred_contrib : bool, optional (default=False)
Whether to predict feature contributions.
Note
----
If you want to get more explanations for your model's predictions using SHAP values,
like SHAP interaction values,
you can install the shap package (https://github.com/slundberg/shap).
Note that unlike the shap package, with ``pred_contrib`` we return a matrix with an extra
column, where the last column is the expected value.
**kwargs
Other parameters for the prediction.
Returns
-------
predicted_result : array-like of shape = [n_samples] or shape = [n_samples, n_classes]
The predicted values.
X_leaves : array-like of shape = [n_samples, n_trees] or shape = [n_samples, n_trees * n_classes]
If ``pred_leaf=True``, the predicted leaf of every tree for each sample.
X_SHAP_values : array-like of shape = [n_samples, n_features + 1] or shape = [n_samples, (n_features + 1) * n_classes]
If ``pred_contrib=True``, the feature contributions for each sample.
"""
if self._n_features is None:
raise LGBMNotFittedError("Estimator not fitted, call `fit` before exploiting the model.")
if not isinstance(X, (DataFrame, DataTable)):
X = _LGBMCheckArray(X, accept_sparse=True, force_all_finite=False)
n_features = X.shape[1]
if self._n_features != n_features:
raise ValueError("Number of features of the model must "
"match the input. Model n_features_ is %s and "
"input n_features is %s "
% (self._n_features, n_features))
return self.booster_.predict(X, raw_score=raw_score, num_iteration=num_iteration,
pred_leaf=pred_leaf, pred_contrib=pred_contrib, **kwargs)
|
python
|
def predict(self, X, raw_score=False, num_iteration=None,
pred_leaf=False, pred_contrib=False, **kwargs):
"""Return the predicted value for each sample.
Parameters
----------
X : array-like or sparse matrix of shape = [n_samples, n_features]
Input features matrix.
raw_score : bool, optional (default=False)
Whether to predict raw scores.
num_iteration : int or None, optional (default=None)
Limit number of iterations in the prediction.
If None, if the best iteration exists, it is used; otherwise, all trees are used.
If <= 0, all trees are used (no limits).
pred_leaf : bool, optional (default=False)
Whether to predict leaf index.
pred_contrib : bool, optional (default=False)
Whether to predict feature contributions.
Note
----
If you want to get more explanations for your model's predictions using SHAP values,
like SHAP interaction values,
you can install the shap package (https://github.com/slundberg/shap).
Note that unlike the shap package, with ``pred_contrib`` we return a matrix with an extra
column, where the last column is the expected value.
**kwargs
Other parameters for the prediction.
Returns
-------
predicted_result : array-like of shape = [n_samples] or shape = [n_samples, n_classes]
The predicted values.
X_leaves : array-like of shape = [n_samples, n_trees] or shape = [n_samples, n_trees * n_classes]
If ``pred_leaf=True``, the predicted leaf of every tree for each sample.
X_SHAP_values : array-like of shape = [n_samples, n_features + 1] or shape = [n_samples, (n_features + 1) * n_classes]
If ``pred_contrib=True``, the feature contributions for each sample.
"""
if self._n_features is None:
raise LGBMNotFittedError("Estimator not fitted, call `fit` before exploiting the model.")
if not isinstance(X, (DataFrame, DataTable)):
X = _LGBMCheckArray(X, accept_sparse=True, force_all_finite=False)
n_features = X.shape[1]
if self._n_features != n_features:
raise ValueError("Number of features of the model must "
"match the input. Model n_features_ is %s and "
"input n_features is %s "
% (self._n_features, n_features))
return self.booster_.predict(X, raw_score=raw_score, num_iteration=num_iteration,
pred_leaf=pred_leaf, pred_contrib=pred_contrib, **kwargs)
|
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",",
"pred_contrib",
"=",
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",",
"*",
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")"
] |
Return the predicted value for each sample.
Parameters
----------
X : array-like or sparse matrix of shape = [n_samples, n_features]
Input features matrix.
raw_score : bool, optional (default=False)
Whether to predict raw scores.
num_iteration : int or None, optional (default=None)
Limit number of iterations in the prediction.
If None, if the best iteration exists, it is used; otherwise, all trees are used.
If <= 0, all trees are used (no limits).
pred_leaf : bool, optional (default=False)
Whether to predict leaf index.
pred_contrib : bool, optional (default=False)
Whether to predict feature contributions.
Note
----
If you want to get more explanations for your model's predictions using SHAP values,
like SHAP interaction values,
you can install the shap package (https://github.com/slundberg/shap).
Note that unlike the shap package, with ``pred_contrib`` we return a matrix with an extra
column, where the last column is the expected value.
**kwargs
Other parameters for the prediction.
Returns
-------
predicted_result : array-like of shape = [n_samples] or shape = [n_samples, n_classes]
The predicted values.
X_leaves : array-like of shape = [n_samples, n_trees] or shape = [n_samples, n_trees * n_classes]
If ``pred_leaf=True``, the predicted leaf of every tree for each sample.
X_SHAP_values : array-like of shape = [n_samples, n_features + 1] or shape = [n_samples, (n_features + 1) * n_classes]
If ``pred_contrib=True``, the feature contributions for each sample.
|
[
"Return",
"the",
"predicted",
"value",
"for",
"each",
"sample",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/sklearn.py#L564-L614
|
train
|
Predict the predicted value for each sample.
|
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(0b1001 + 0o47) + '\x6f' + '\x33' + '\x32' + '\x35', 42872 - 42864), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(1512 - 1401) + chr(0b110001) + '\067' + chr(0b100001 + 0o25), 55731 - 55723), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(0b110110) + chr(54), 53628 - 53620), ehT0Px3KOsy9(chr(875 - 827) + chr(111) + chr(689 - 640) + '\066' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + chr(51) + '\x30' + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2138 - 2089), 25543 - 25535), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1320 - 1265) + '\061', 59788 - 59780), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11111 + 0o24) + chr(54) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(2595 - 2544) + chr(0b110101) + chr(50), 43878 - 43870), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + '\x37' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3473 - 3362) + chr(546 - 497) + chr(49) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + '\x36' + '\061', 48683 - 48675), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(933 - 885) + '\157' + '\x31' + '\065' + chr(0b110100 + 0o2), 7355 - 7347), ehT0Px3KOsy9(chr(48) + chr(10355 - 10244) + chr(0b100 + 0o56) + chr(53), 48023 - 48015), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1606 - 1557) + chr(0b110011) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + '\062' + chr(0b110101) + chr(0b110000 + 0o3), 60252 - 60244), ehT0Px3KOsy9('\x30' + chr(0b1101000 + 0o7) + chr(51) + chr(1790 - 1737) + '\x32', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b10110 + 0o34) + '\x34', 19003 - 18995), ehT0Px3KOsy9('\x30' + chr(0b1011 + 0o144) + chr(0b1100 + 0o46) + chr(2270 - 2215) + '\065', 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + chr(52) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1155 - 1044) + '\062' + '\067' + chr(0b10011 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1432 - 1383) + chr(0b110000 + 0o3) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1000001 + 0o56) + '\062' + chr(55) + chr(51), 0o10), ehT0Px3KOsy9(chr(693 - 645) + '\x6f' + chr(0b1101 + 0o44) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10011 + 0o134) + '\x32' + chr(48) + '\x37', 0o10), ehT0Px3KOsy9(chr(761 - 713) + '\x6f' + chr(50) + '\065' + chr(49), 21532 - 21524), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + chr(0b1001 + 0o53) + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(1547 - 1497) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + chr(1263 - 1212) + '\x36' + '\x32', 51124 - 51116), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(576 - 525) + chr(51) + chr(0b110011), 17984 - 17976), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\065' + chr(48), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x36' + chr(54), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\x30' + chr(48), 19514 - 19506), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000110 + 0o51) + chr(55) + chr(0b10010 + 0o43), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2334 - 2223) + chr(0b110001) + chr(48) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + '\x31' + chr(49) + chr(53), 873 - 865), ehT0Px3KOsy9('\060' + chr(111) + chr(49), 8), ehT0Px3KOsy9('\060' + chr(0b1100 + 0o143) + chr(0b11010 + 0o30) + chr(0b110101) + chr(0b10100 + 0o41), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\x34', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1100101 + 0o12) + chr(53) + chr(48), 17465 - 17457)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb'), '\x64' + chr(8196 - 8095) + '\x63' + chr(0b1101111) + chr(4009 - 3909) + '\145')('\165' + chr(116) + '\x66' + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def POyImYQwg5VB(oVre8I6UXc3b, xEgrFJ0REugl, pyIRxQu_AGPu=ehT0Px3KOsy9(chr(455 - 407) + chr(7910 - 7799) + chr(0b110000), 63827 - 63819), MWCus7xfQEVr=None, KH5LYZDn2P2c=ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + chr(0b110000), 8), ajcF5OWQ6LAE=ehT0Px3KOsy9(chr(172 - 124) + '\157' + '\x30', 8), **M8EIoTs2GJXE):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8cF_G\x8b1i\x86\xb0\x84"\x04'), '\144' + '\x65' + chr(0b1100011) + chr(0b1001 + 0o146) + '\144' + chr(101))('\x75' + '\x74' + '\x66' + chr(0b101101) + chr(0b10000 + 0o50))) is None:
raise XZl4RpXao8Gm(xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\rB\x1a\xa8`M\x98\x98\xdd%\x1ecNs6\xdf\x9e\xf1\xd9\x0b\x988\xdab\xeb\x89C\xb4\x9b\xaf\x88\x16"X!"s\xc8,\xb0\x06F\x1f\xaahM\x9e\x84\x9ak\x05\x7f\x0b52\xc4\x8e\xf1\xd1\t'), chr(0b1001011 + 0o31) + chr(101) + chr(0b1100011) + '\x6f' + chr(5007 - 4907) + chr(101))(chr(10402 - 10285) + chr(0b1110100) + chr(102) + chr(1388 - 1343) + chr(2945 - 2889)))
if not PlSM16l2KDPD(xEgrFJ0REugl, (TTWbaLX2VikC, eOstMbTB25dN)):
xEgrFJ0REugl = VRzyW9EGZKR6(xEgrFJ0REugl, accept_sparse=ehT0Px3KOsy9('\x30' + chr(2361 - 2250) + chr(49), 8), force_all_finite=ehT0Px3KOsy9(chr(1558 - 1510) + '\157' + chr(0b110000), 8))
dxp1ijvwrIWO = xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9(chr(1440 - 1392) + chr(0b101100 + 0o103) + chr(49), 8)]
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8cF_G\x8b1i\x86\xb0\x84"\x04'), chr(100) + chr(0b1100101) + chr(0b1110 + 0o125) + chr(2551 - 2440) + '\144' + chr(101))(chr(5007 - 4890) + chr(0b1100 + 0o150) + '\146' + chr(0b101101) + '\x38')) != dxp1ijvwrIWO:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x0b[\x11\xa0s\x19\x98\x8c\xdd-\x14v\x1a`-\xce\x99\xb4\xd2A\x98/\xd3k\xa7\xc4L\xb6\x97\xb7\xc8[5N3ml\xccx\xb6\x16\x16\x07\xadd\x19\x9e\x84\x8d>\x059NX0\xcf\x8f\xf8\x9dI\xe7=\xdeo\xf3\xdcQ\xb7\x81\x84\xc8_3\x1db>!\xccb\xb1^_\x1d\xb5tM\xd7\x84\xa2-\x14v\x1a`-\xce\x99\xb4\xd4T\x98~\xc8.'), '\x64' + chr(0b111111 + 0o46) + '\x63' + '\157' + '\x64' + '\145')(chr(0b1110101) + chr(0b1010110 + 0o36) + chr(0b111101 + 0o51) + '\055' + '\x38') % (xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8cF_G\x8b1i\x86\xb0\x84"\x04'), chr(0b1100100) + chr(2814 - 2713) + chr(99) + chr(111) + '\x64' + '\145')(chr(117) + chr(7807 - 7691) + '\146' + chr(964 - 919) + chr(0b1110 + 0o52))), dxp1ijvwrIWO))
return xafqLlk3kkUe(oVre8I6UXc3b.booster_, xafqLlk3kkUe(SXOLrMavuUCe(b'\x851O:\xa8Xh\x80\x8d\xc8\x1d3'), chr(100) + '\x65' + chr(7633 - 7534) + chr(111) + chr(0b101101 + 0o67) + chr(0b1011010 + 0o13))('\165' + '\x74' + chr(0b11001 + 0o115) + chr(45) + chr(0b10001 + 0o47)))(xEgrFJ0REugl, raw_score=pyIRxQu_AGPu, num_iteration=MWCus7xfQEVr, pred_leaf=KH5LYZDn2P2c, pred_contrib=ajcF5OWQ6LAE, **M8EIoTs2GJXE)
|
Microsoft/LightGBM
|
python-package/lightgbm/sklearn.py
|
LGBMModel.feature_importances_
|
def feature_importances_(self):
"""Get feature importances.
Note
----
Feature importance in sklearn interface used to normalize to 1,
it's deprecated after 2.0.4 and is the same as Booster.feature_importance() now.
``importance_type`` attribute is passed to the function
to configure the type of importance values to be extracted.
"""
if self._n_features is None:
raise LGBMNotFittedError('No feature_importances found. Need to call fit beforehand.')
return self.booster_.feature_importance(importance_type=self.importance_type)
|
python
|
def feature_importances_(self):
"""Get feature importances.
Note
----
Feature importance in sklearn interface used to normalize to 1,
it's deprecated after 2.0.4 and is the same as Booster.feature_importance() now.
``importance_type`` attribute is passed to the function
to configure the type of importance values to be extracted.
"""
if self._n_features is None:
raise LGBMNotFittedError('No feature_importances found. Need to call fit beforehand.')
return self.booster_.feature_importance(importance_type=self.importance_type)
|
[
"def",
"feature_importances_",
"(",
"self",
")",
":",
"if",
"self",
".",
"_n_features",
"is",
"None",
":",
"raise",
"LGBMNotFittedError",
"(",
"'No feature_importances found. Need to call fit beforehand.'",
")",
"return",
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".",
"booster_",
".",
"feature_importance",
"(",
"importance_type",
"=",
"self",
".",
"importance_type",
")"
] |
Get feature importances.
Note
----
Feature importance in sklearn interface used to normalize to 1,
it's deprecated after 2.0.4 and is the same as Booster.feature_importance() now.
``importance_type`` attribute is passed to the function
to configure the type of importance values to be extracted.
|
[
"Get",
"feature",
"importances",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/sklearn.py#L659-L671
|
train
|
Get feature importances.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b110111) + chr(2009 - 1954), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(2246 - 2196) + chr(0b110101) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(1230 - 1175) + chr(0b10 + 0o56), 46436 - 46428), ehT0Px3KOsy9(chr(0b110000) + chr(3878 - 3767) + chr(0b111 + 0o54) + chr(52) + '\x30', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(775 - 722) + chr(2780 - 2726), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101 + 0o152) + chr(50) + chr(389 - 334) + chr(2156 - 2102), 14417 - 14409), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(193 - 143) + '\066' + chr(50), 22695 - 22687), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + chr(518 - 465) + chr(0b110111), 46444 - 46436), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1010000 + 0o37) + chr(49) + chr(0b110101) + chr(0b110110), 8), ehT0Px3KOsy9(chr(285 - 237) + chr(4441 - 4330) + chr(0b110010) + '\064' + '\062', 52015 - 52007), ehT0Px3KOsy9(chr(48) + chr(0b1100010 + 0o15) + '\062' + chr(0b110100) + chr(1118 - 1063), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6638 - 6527) + chr(1212 - 1162) + chr(0b100 + 0o60) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(53) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1092 - 981) + chr(0b110001) + '\x34' + chr(48), 59033 - 59025), ehT0Px3KOsy9('\060' + chr(9646 - 9535) + chr(336 - 287) + chr(0b110000 + 0o1), 12313 - 12305), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(940 - 887) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(0b100000 + 0o23) + chr(0b101101 + 0o10) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(891 - 841) + '\x31' + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(7411 - 7300) + chr(51) + chr(0b11100 + 0o31) + chr(0b100100 + 0o22), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(0b1100 + 0o53) + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\066' + chr(0b110011), 3528 - 3520), ehT0Px3KOsy9('\060' + '\157' + chr(410 - 361) + chr(0b110010) + chr(402 - 354), 0b1000), ehT0Px3KOsy9(chr(48) + chr(6905 - 6794) + chr(1461 - 1410) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(301 - 253) + chr(111) + '\061' + chr(0b110101) + chr(0b101011 + 0o6), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(1928 - 1878) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2577 - 2466) + '\x36' + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(250 - 199) + chr(53) + chr(0b100001 + 0o22), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010000 + 0o37) + chr(1180 - 1130) + '\x37' + chr(2311 - 2258), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(197 - 146) + chr(522 - 467) + chr(0b1110 + 0o43), 0o10), ehT0Px3KOsy9(chr(2153 - 2105) + chr(6772 - 6661) + '\062' + chr(0b10 + 0o56) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(5255 - 5144) + chr(49) + chr(0b10001 + 0o40) + chr(0b101111 + 0o7), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001101 + 0o42) + '\063' + '\067', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010011 + 0o34) + chr(49) + chr(0b110010) + chr(0b0 + 0o66), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(1238 - 1187) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1100000 + 0o17) + '\063' + '\061' + chr(2557 - 2502), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(4466 - 4355) + chr(2400 - 2346) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + '\x31' + chr(0b101101 + 0o6) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(1464 - 1416) + '\x6f' + '\063' + '\066' + chr(1972 - 1918), ord("\x08")), ehT0Px3KOsy9(chr(930 - 882) + '\x6f' + '\061' + '\x33', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011 + 0o2) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1'), chr(0b111001 + 0o53) + chr(101) + '\x63' + '\x6f' + '\x64' + chr(7917 - 7816))(chr(0b111010 + 0o73) + chr(116) + chr(6860 - 6758) + chr(0b1110 + 0o37) + chr(2653 - 2597)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def wo2jT6cJTGBl(oVre8I6UXc3b):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\x94\x91\xd4 \x8e\xe2^4\xdb\xce\xd3'), chr(7939 - 7839) + chr(0b110111 + 0o56) + chr(6863 - 6764) + chr(7510 - 7399) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(116) + chr(102) + '\x2d' + chr(0b110 + 0o62))) is None:
raise XZl4RpXao8Gm(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\xc3\xd8\x86\x0b\xdf\xc6Z\x1c\xc7\xf8\xcf\x87\x10f\x9c\x99\xea\x80J\x18\xc0px\x06\xa6]\x8f\x93\xd9\xc8+z2\xfe\xbb]z\x95j\x93\xc0\xd8\x86\x07\xca\x92M\x0b\xc4\xc8\xd4\x8f\x08h\x80\x89\xa5'), chr(100) + chr(101) + chr(0b100111 + 0o74) + chr(556 - 445) + chr(4879 - 4779) + '\x65')(chr(0b1110101) + '\164' + chr(4437 - 4335) + chr(0b101101) + chr(56)))
return xafqLlk3kkUe(oVre8I6UXc3b.booster_, xafqLlk3kkUe(SXOLrMavuUCe(b'\x99\xc9\x99\x94\x1b\xcc\xd7p\x07\xcf\xd7\xc9\x98\x14h\x80\x8e\xee'), chr(0b101000 + 0o74) + '\145' + chr(99) + '\x6f' + '\144' + '\x65')('\x75' + '\164' + chr(0b1100110) + chr(1134 - 1089) + chr(0b10011 + 0o45)))(importance_type=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x96\xc1\x88\x8f\x1c\xca\xd3A\r\xc7\xf8\xd2\x93\x10l'), chr(6362 - 6262) + chr(101) + chr(0b1100011) + '\x6f' + '\144' + '\145')(chr(0b1000100 + 0o61) + chr(0b1110100) + '\146' + chr(0b101101) + '\x38')))
|
Microsoft/LightGBM
|
python-package/lightgbm/sklearn.py
|
LGBMRegressor.fit
|
def fit(self, X, y,
sample_weight=None, init_score=None,
eval_set=None, eval_names=None, eval_sample_weight=None,
eval_init_score=None, eval_metric=None, early_stopping_rounds=None,
verbose=True, feature_name='auto', categorical_feature='auto', callbacks=None):
"""Docstring is inherited from the LGBMModel."""
super(LGBMRegressor, self).fit(X, y, sample_weight=sample_weight,
init_score=init_score, eval_set=eval_set,
eval_names=eval_names,
eval_sample_weight=eval_sample_weight,
eval_init_score=eval_init_score,
eval_metric=eval_metric,
early_stopping_rounds=early_stopping_rounds,
verbose=verbose, feature_name=feature_name,
categorical_feature=categorical_feature,
callbacks=callbacks)
return self
|
python
|
def fit(self, X, y,
sample_weight=None, init_score=None,
eval_set=None, eval_names=None, eval_sample_weight=None,
eval_init_score=None, eval_metric=None, early_stopping_rounds=None,
verbose=True, feature_name='auto', categorical_feature='auto', callbacks=None):
"""Docstring is inherited from the LGBMModel."""
super(LGBMRegressor, self).fit(X, y, sample_weight=sample_weight,
init_score=init_score, eval_set=eval_set,
eval_names=eval_names,
eval_sample_weight=eval_sample_weight,
eval_init_score=eval_init_score,
eval_metric=eval_metric,
early_stopping_rounds=early_stopping_rounds,
verbose=verbose, feature_name=feature_name,
categorical_feature=categorical_feature,
callbacks=callbacks)
return self
|
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] |
Docstring is inherited from the LGBMModel.
|
[
"Docstring",
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"inherited",
"from",
"the",
"LGBMModel",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/sklearn.py#L677-L693
|
train
|
This method is inherited from the LGBMModel class.
|
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(0b101011 + 0o14) + chr(0b110110), 47589 - 47581), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\x35' + '\065', 3694 - 3686), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + '\x32' + chr(2639 - 2584) + chr(2424 - 2373), 33271 - 33263), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + '\x36', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(0b100100 + 0o15) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101011 + 0o4) + chr(0b10101 + 0o35) + '\066' + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(4386 - 4275) + chr(51) + '\061', 63572 - 63564), ehT0Px3KOsy9(chr(0b110000) + chr(7549 - 7438) + '\061' + chr(0b1001 + 0o52) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b110100) + chr(564 - 512), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(50), 12456 - 12448), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(0b101001 + 0o11) + chr(1577 - 1529), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(0b10000 + 0o40) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(2292 - 2244) + '\157' + chr(161 - 112) + '\063' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(50) + '\x35', 43083 - 43075), ehT0Px3KOsy9(chr(1104 - 1056) + chr(0b1101111) + chr(0b110011) + chr(2069 - 2015) + chr(55), 37598 - 37590), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b110001 + 0o2) + '\067', 0o10), ehT0Px3KOsy9(chr(2177 - 2129) + chr(0b1101111) + '\x33' + '\064' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(52) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(307 - 259) + chr(111) + chr(55) + chr(50), 8359 - 8351), ehT0Px3KOsy9(chr(48) + chr(0b1000101 + 0o52) + '\062' + '\063' + chr(51), 4898 - 4890), ehT0Px3KOsy9('\060' + chr(0b1011100 + 0o23) + chr(49) + chr(0b110010) + chr(0b110000), 40511 - 40503), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(52) + chr(1644 - 1591), ord("\x08")), ehT0Px3KOsy9(chr(1938 - 1890) + '\157' + chr(2646 - 2594) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(1818 - 1770) + '\x6f' + chr(52) + '\x31', 15435 - 15427), ehT0Px3KOsy9(chr(591 - 543) + '\x6f' + chr(51) + '\067' + '\065', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(1944 - 1895) + chr(0b110100) + chr(48), 56611 - 56603), ehT0Px3KOsy9(chr(397 - 349) + chr(0b1101111) + '\x32' + chr(1241 - 1193) + chr(1752 - 1700), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(391 - 341) + chr(52), 13844 - 13836), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(0b11001 + 0o33), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(55) + '\066', 31014 - 31006), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011101 + 0o22) + chr(0b110 + 0o55) + chr(48) + chr(0b100110 + 0o20), 0b1000), ehT0Px3KOsy9('\060' + chr(8926 - 8815) + chr(0b110001) + chr(1560 - 1509) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111 + 0o0) + '\062' + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(5586 - 5475) + chr(0b110001) + chr(956 - 903) + chr(2399 - 2349), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(51) + chr(0b100000 + 0o24), 0o10), ehT0Px3KOsy9(chr(1718 - 1670) + '\157' + chr(0b110100) + chr(50), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100001 + 0o22) + chr(0b101011 + 0o6) + chr(2067 - 2017), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100011 + 0o17) + chr(0b10011 + 0o37) + chr(1533 - 1478), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(53) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0'), '\144' + chr(0b1011001 + 0o14) + chr(0b11111 + 0o104) + chr(9953 - 9842) + chr(6482 - 6382) + '\145')(chr(0b110110 + 0o77) + '\164' + chr(0b101110 + 0o70) + chr(1213 - 1168) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def gggbGMeQaMBR(oVre8I6UXc3b, xEgrFJ0REugl, SqiSOtYOqOJH, dKFzs5yZvThT=None, XcnKSna3Kib3=None, B9iBAprBc4Cc=None, DgHfqQgK_9lu=None, S8TIBQnWz3zF=None, vykUAHlk8wVl=None, tbbpbfMnen5w=None, k4mrqJWJE3I8=None, j5jgrsOGZdZ4=ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11001 + 0o30), 47866 - 47858), lPuZQT6rFAxL=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x18\xcfa'), '\x64' + chr(101) + '\143' + chr(111) + chr(7652 - 7552) + chr(101))(chr(5199 - 5082) + chr(116) + chr(5064 - 4962) + chr(0b101101) + chr(0b11101 + 0o33)), G2CxGplaqd7R=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x18\xcfa'), chr(100) + '\x65' + '\143' + chr(111) + chr(100) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b11110 + 0o110) + '\055' + chr(56)), PX4b0z2UpTWH=None):
xafqLlk3kkUe(KNx0Ujaz9UM0(m0qHPZ4lLfmT, oVre8I6UXc3b), xafqLlk3kkUe(SXOLrMavuUCe(b'\x98\x04\xcf'), chr(4772 - 4672) + '\x65' + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(102) + '\055' + chr(56)))(xEgrFJ0REugl, SqiSOtYOqOJH, sample_weight=dKFzs5yZvThT, init_score=XcnKSna3Kib3, eval_set=B9iBAprBc4Cc, eval_names=DgHfqQgK_9lu, eval_sample_weight=S8TIBQnWz3zF, eval_init_score=vykUAHlk8wVl, eval_metric=tbbpbfMnen5w, early_stopping_rounds=k4mrqJWJE3I8, verbose=j5jgrsOGZdZ4, feature_name=lPuZQT6rFAxL, categorical_feature=G2CxGplaqd7R, callbacks=PX4b0z2UpTWH)
return oVre8I6UXc3b
|
Microsoft/LightGBM
|
python-package/lightgbm/sklearn.py
|
LGBMClassifier.fit
|
def fit(self, X, y,
sample_weight=None, init_score=None,
eval_set=None, eval_names=None, eval_sample_weight=None,
eval_class_weight=None, eval_init_score=None, eval_metric=None,
early_stopping_rounds=None, verbose=True,
feature_name='auto', categorical_feature='auto', callbacks=None):
"""Docstring is inherited from the LGBMModel."""
_LGBMAssertAllFinite(y)
_LGBMCheckClassificationTargets(y)
self._le = _LGBMLabelEncoder().fit(y)
_y = self._le.transform(y)
self._classes = self._le.classes_
self._n_classes = len(self._classes)
if self._n_classes > 2:
# Switch to using a multiclass objective in the underlying LGBM instance
ova_aliases = ("multiclassova", "multiclass_ova", "ova", "ovr")
if self._objective not in ova_aliases and not callable(self._objective):
self._objective = "multiclass"
if eval_metric in ('logloss', 'binary_logloss'):
eval_metric = "multi_logloss"
elif eval_metric in ('error', 'binary_error'):
eval_metric = "multi_error"
else:
if eval_metric in ('logloss', 'multi_logloss'):
eval_metric = 'binary_logloss'
elif eval_metric in ('error', 'multi_error'):
eval_metric = 'binary_error'
if eval_set is not None:
if isinstance(eval_set, tuple):
eval_set = [eval_set]
for i, (valid_x, valid_y) in enumerate(eval_set):
if valid_x is X and valid_y is y:
eval_set[i] = (valid_x, _y)
else:
eval_set[i] = (valid_x, self._le.transform(valid_y))
super(LGBMClassifier, self).fit(X, _y, sample_weight=sample_weight,
init_score=init_score, eval_set=eval_set,
eval_names=eval_names,
eval_sample_weight=eval_sample_weight,
eval_class_weight=eval_class_weight,
eval_init_score=eval_init_score,
eval_metric=eval_metric,
early_stopping_rounds=early_stopping_rounds,
verbose=verbose, feature_name=feature_name,
categorical_feature=categorical_feature,
callbacks=callbacks)
return self
|
python
|
def fit(self, X, y,
sample_weight=None, init_score=None,
eval_set=None, eval_names=None, eval_sample_weight=None,
eval_class_weight=None, eval_init_score=None, eval_metric=None,
early_stopping_rounds=None, verbose=True,
feature_name='auto', categorical_feature='auto', callbacks=None):
"""Docstring is inherited from the LGBMModel."""
_LGBMAssertAllFinite(y)
_LGBMCheckClassificationTargets(y)
self._le = _LGBMLabelEncoder().fit(y)
_y = self._le.transform(y)
self._classes = self._le.classes_
self._n_classes = len(self._classes)
if self._n_classes > 2:
# Switch to using a multiclass objective in the underlying LGBM instance
ova_aliases = ("multiclassova", "multiclass_ova", "ova", "ovr")
if self._objective not in ova_aliases and not callable(self._objective):
self._objective = "multiclass"
if eval_metric in ('logloss', 'binary_logloss'):
eval_metric = "multi_logloss"
elif eval_metric in ('error', 'binary_error'):
eval_metric = "multi_error"
else:
if eval_metric in ('logloss', 'multi_logloss'):
eval_metric = 'binary_logloss'
elif eval_metric in ('error', 'multi_error'):
eval_metric = 'binary_error'
if eval_set is not None:
if isinstance(eval_set, tuple):
eval_set = [eval_set]
for i, (valid_x, valid_y) in enumerate(eval_set):
if valid_x is X and valid_y is y:
eval_set[i] = (valid_x, _y)
else:
eval_set[i] = (valid_x, self._le.transform(valid_y))
super(LGBMClassifier, self).fit(X, _y, sample_weight=sample_weight,
init_score=init_score, eval_set=eval_set,
eval_names=eval_names,
eval_sample_weight=eval_sample_weight,
eval_class_weight=eval_class_weight,
eval_init_score=eval_init_score,
eval_metric=eval_metric,
early_stopping_rounds=early_stopping_rounds,
verbose=verbose, feature_name=feature_name,
categorical_feature=categorical_feature,
callbacks=callbacks)
return self
|
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",",
"eval_class_weight",
"=",
"eval_class_weight",
",",
"eval_init_score",
"=",
"eval_init_score",
",",
"eval_metric",
"=",
"eval_metric",
",",
"early_stopping_rounds",
"=",
"early_stopping_rounds",
",",
"verbose",
"=",
"verbose",
",",
"feature_name",
"=",
"feature_name",
",",
"categorical_feature",
"=",
"categorical_feature",
",",
"callbacks",
"=",
"callbacks",
")",
"return",
"self"
] |
Docstring is inherited from the LGBMModel.
|
[
"Docstring",
"is",
"inherited",
"from",
"the",
"LGBMModel",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/sklearn.py#L703-L752
|
train
|
Fits the LGBM model to the given data.
|
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) + chr(254 - 204) + '\x30' + chr(2057 - 2004), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(0b110100) + chr(0b1001 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(629 - 578) + chr(0b110101) + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(284 - 233) + chr(50) + '\x37', 659 - 651), ehT0Px3KOsy9(chr(2007 - 1959) + '\x6f' + '\x32' + chr(0b110000) + chr(2453 - 2403), 46944 - 46936), ehT0Px3KOsy9('\060' + chr(0b1011111 + 0o20) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(1465 - 1415) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(0b11101 + 0o26) + '\x34', 0b1000), ehT0Px3KOsy9(chr(115 - 67) + '\x6f' + '\x35' + chr(0b101 + 0o57), 58374 - 58366), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(235 - 184) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(4911 - 4800) + '\x31' + chr(0b110011) + chr(1765 - 1711), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(1422 - 1371) + chr(0b110001 + 0o0) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b110011) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1447 - 1398) + '\x34' + chr(379 - 324), ord("\x08")), ehT0Px3KOsy9(chr(245 - 197) + chr(0b1101111) + '\x32' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(379 - 331) + '\157' + chr(494 - 445) + chr(1208 - 1153) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + '\062', 22475 - 22467), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(1686 - 1635) + chr(624 - 576), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b110111), 60577 - 60569), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10011 + 0o42) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(5130 - 5019) + '\061' + chr(52) + chr(0b110110), 43562 - 43554), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(11436 - 11325) + chr(1796 - 1747) + '\065', 28673 - 28665), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101011 + 0o10) + chr(55) + chr(0b100000 + 0o26), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100011 + 0o114) + chr(0b101101 + 0o7) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(0b101101 + 0o102) + chr(0b100110 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1011 + 0o50) + chr(0b11110 + 0o23) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\065' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b10110 + 0o131) + chr(201 - 151) + chr(0b110 + 0o55) + chr(2144 - 2095), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3885 - 3774) + chr(1181 - 1132) + '\060' + chr(0b10011 + 0o35), 0o10), ehT0Px3KOsy9('\x30' + chr(1833 - 1722) + '\x32' + '\062' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + chr(50) + chr(0b110101) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(0b110011) + chr(0b110101) + '\060', 57705 - 57697), ehT0Px3KOsy9(chr(1400 - 1352) + chr(0b1101111) + chr(0b110011) + chr(52) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1001011 + 0o44) + chr(1941 - 1892) + chr(0b101000 + 0o16) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + chr(0b110011) + chr(0b110110) + chr(0b101011 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(2005 - 1957) + chr(7614 - 7503) + chr(0b101010 + 0o7) + chr(165 - 117) + chr(49), 2018 - 2010), ehT0Px3KOsy9('\060' + chr(8431 - 8320) + chr(0b101100 + 0o7) + '\061' + chr(0b10000 + 0o46), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + chr(1431 - 1380) + chr(0b11110 + 0o27) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100010 + 0o15) + '\063' + chr(48) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b110001), 16879 - 16871)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b110100 + 0o73) + chr(0b10101 + 0o40) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xab'), chr(0b1110 + 0o126) + chr(3669 - 3568) + '\x63' + chr(111) + '\144' + chr(0b1100101))(chr(117) + '\164' + chr(102) + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def gggbGMeQaMBR(oVre8I6UXc3b, xEgrFJ0REugl, SqiSOtYOqOJH, dKFzs5yZvThT=None, XcnKSna3Kib3=None, B9iBAprBc4Cc=None, DgHfqQgK_9lu=None, S8TIBQnWz3zF=None, tqadcWSBKPNT=None, vykUAHlk8wVl=None, tbbpbfMnen5w=None, k4mrqJWJE3I8=None, j5jgrsOGZdZ4=ehT0Px3KOsy9(chr(213 - 165) + chr(0b11011 + 0o124) + chr(49), 39548 - 39540), lPuZQT6rFAxL=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xd3\x9a\xb8'), chr(0b1000101 + 0o37) + chr(0b1100101) + chr(0b1100011) + chr(0b1011010 + 0o25) + chr(1568 - 1468) + '\145')(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(1331 - 1286) + chr(56)), G2CxGplaqd7R=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xd3\x9a\xb8'), chr(0b1100100) + '\x65' + chr(0b101011 + 0o70) + '\x6f' + chr(7149 - 7049) + '\145')(chr(0b1110101) + chr(116) + chr(1184 - 1082) + chr(1870 - 1825) + chr(56)), PX4b0z2UpTWH=None):
M6vbWt5qxAJb(SqiSOtYOqOJH)
MSJyozfb3dcF(SqiSOtYOqOJH)
oVre8I6UXc3b.yhAd1mCV0Zpq = c37KIYhXw0eJ().fit(SqiSOtYOqOJH)
CQt8ijsC_TMG = oVre8I6UXc3b._le.transform(SqiSOtYOqOJH)
oVre8I6UXc3b.AX5vx7IWKUMc = oVre8I6UXc3b._le.KWx4OykSAFHn
oVre8I6UXc3b.xJAjBnZ5NVq1 = c2A0yzQpDQB3(oVre8I6UXc3b.AX5vx7IWKUMc)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfd\xec\xaf\xbd\xc0m\xcf\xe9b\n/\xfd'), '\144' + chr(0b1010111 + 0o16) + chr(0b110010 + 0o61) + '\157' + chr(6582 - 6482) + chr(0b1100101))('\165' + chr(116) + chr(0b1100110) + '\x2d' + chr(0b111000))) > ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010), ord("\x08")):
QxNwRGRyZ5oU = (xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xd3\x82\xa3\xeb`\xf9\xbd_/1\xba\xbb'), chr(100) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(100) + '\x65')(chr(13543 - 13426) + chr(6043 - 5927) + '\x66' + chr(45) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xd3\x82\xa3\xeb`\xf9\xbd_/\x01\xa3\xac\x06'), '\144' + chr(101) + '\143' + chr(111) + '\x64' + chr(101))('\165' + '\x74' + '\x66' + chr(0b11111 + 0o16) + chr(0b11 + 0o65)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xd0\x8f'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(6155 - 6044) + chr(6600 - 6500) + '\145')(chr(0b100110 + 0o117) + chr(116) + chr(0b1100110) + chr(0b10101 + 0o30) + chr(3089 - 3033)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xd0\x9c'), '\x64' + chr(0b1001110 + 0o27) + '\143' + chr(0b1101111) + chr(100) + '\145')('\x75' + chr(0b1110100) + chr(0b1100110) + chr(1230 - 1185) + chr(56)))
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\xe8\xbf\x92\xc1V\xac\x8f\x1c-*\x88'), '\144' + chr(3697 - 3596) + '\143' + chr(111) + '\144' + '\145')(chr(117) + chr(0b1000000 + 0o64) + '\x66' + chr(45) + chr(56))) not in QxNwRGRyZ5oU and (not tzcpInYwBvYW(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\xe8\xbf\x92\xc1V\xac\x8f\x1c-*\x88'), '\x64' + '\145' + chr(1498 - 1399) + chr(0b10000 + 0o137) + chr(3481 - 3381) + chr(2645 - 2544))('\165' + chr(116) + chr(0b1010101 + 0o21) + chr(0b101011 + 0o2) + '\070')))):
oVre8I6UXc3b.LNQECU9S0qtD = xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xd3\x82\xa3\xeb`\xf9\xbd_/'), '\144' + '\145' + chr(0b1100011) + chr(9778 - 9667) + chr(0b1010001 + 0o23) + '\x65')(chr(0b1101001 + 0o14) + chr(0b1010110 + 0o36) + chr(0b1100110) + '\055' + chr(0b110111 + 0o1))
if tbbpbfMnen5w in (xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\xc9\x89\xbb\xedp\xe6'), chr(0b10110 + 0o116) + chr(0b1100101) + '\x63' + chr(111) + chr(0b1000 + 0o134) + chr(101))('\165' + chr(116) + '\x66' + chr(0b101101 + 0o0) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xcf\x80\xb6\xf0z\xca\xb0C;2\xa3\xa9\x14'), chr(7456 - 7356) + chr(101) + chr(8423 - 8324) + chr(1724 - 1613) + '\x64' + chr(5268 - 5167))('\165' + chr(0b1110100) + chr(4798 - 4696) + chr(0b100010 + 0o13) + '\x38')):
tbbpbfMnen5w = xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xd3\x82\xa3\xeb\\\xf9\xb3K01\xbf\xa9'), chr(0b1100100) + '\145' + '\x63' + chr(0b1101111) + '\x64' + '\145')(chr(117) + '\x74' + '\146' + '\055' + chr(0b111000))
elif tbbpbfMnen5w in (xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd4\x9c\xb8\xf0'), chr(0b100100 + 0o100) + '\x65' + chr(0b1100011) + chr(111) + '\144' + chr(7754 - 7653))(chr(12690 - 12573) + chr(0b1110100) + chr(0b110110 + 0o60) + '\x2d' + chr(0b10011 + 0o45)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xcf\x80\xb6\xf0z\xca\xb9^.1\xbe'), chr(0b1100100) + chr(7989 - 7888) + '\x63' + chr(111) + chr(100) + chr(7806 - 7705))(chr(117) + chr(2989 - 2873) + chr(0b10101 + 0o121) + '\055' + chr(0b10111 + 0o41))):
tbbpbfMnen5w = xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xd3\x82\xa3\xeb\\\xf0\xae^3,'), chr(100) + chr(5666 - 5565) + '\x63' + chr(3451 - 3340) + chr(0b110 + 0o136) + chr(0b1100101))(chr(0b1110101) + chr(0b10011 + 0o141) + chr(1718 - 1616) + '\x2d' + chr(0b111000 + 0o0))
elif tbbpbfMnen5w in (xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\xc9\x89\xbb\xedp\xe6'), '\x64' + chr(0b110001 + 0o64) + chr(0b1110 + 0o125) + chr(8575 - 8464) + chr(144 - 44) + chr(0b1011110 + 0o7))(chr(0b1110101) + chr(0b1010100 + 0o40) + chr(0b1100110) + chr(0b11101 + 0o20) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xd3\x82\xa3\xeb\\\xf9\xb3K01\xbf\xa9'), '\x64' + chr(101) + chr(0b111 + 0o134) + chr(3605 - 3494) + chr(100) + chr(3517 - 3416))(chr(6214 - 6097) + chr(116) + chr(102) + '\055' + chr(56))):
tbbpbfMnen5w = xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xcf\x80\xb6\xf0z\xca\xb0C;2\xa3\xa9\x14'), chr(0b101 + 0o137) + chr(0b10 + 0o143) + chr(99) + chr(111) + '\x64' + chr(0b1100101))(chr(117) + chr(116) + chr(0b1100001 + 0o5) + chr(284 - 239) + '\x38')
elif tbbpbfMnen5w in (xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd4\x9c\xb8\xf0'), chr(0b1100100) + chr(4252 - 4151) + chr(99) + chr(0b100101 + 0o112) + chr(4768 - 4668) + chr(0b1000101 + 0o40))('\165' + chr(9527 - 9411) + chr(0b1100110) + '\055' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xd3\x82\xa3\xeb\\\xf0\xae^3,'), '\x64' + '\145' + chr(0b111101 + 0o46) + chr(0b1101111) + '\144' + '\x65')(chr(0b1110101) + '\x74' + chr(444 - 342) + chr(1063 - 1018) + chr(0b1111 + 0o51))):
tbbpbfMnen5w = xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xcf\x80\xb6\xf0z\xca\xb9^.1\xbe'), chr(0b10111 + 0o115) + '\145' + chr(4032 - 3933) + chr(0b10110 + 0o131) + chr(3648 - 3548) + chr(0b1100101))(chr(0b11110 + 0o127) + '\164' + chr(7445 - 7343) + '\x2d' + chr(56))
if B9iBAprBc4Cc is not None:
if PlSM16l2KDPD(B9iBAprBc4Cc, KNyTy8rYcwji):
B9iBAprBc4Cc = [B9iBAprBc4Cc]
for (WVxHKyX45z_L, (eASB31QjIK9L, F7hx8eO0pPYp)) in YlkZvXL8qwsX(B9iBAprBc4Cc):
if eASB31QjIK9L is xEgrFJ0REugl and F7hx8eO0pPYp is SqiSOtYOqOJH:
B9iBAprBc4Cc[WVxHKyX45z_L] = (eASB31QjIK9L, CQt8ijsC_TMG)
else:
B9iBAprBc4Cc[WVxHKyX45z_L] = (eASB31QjIK9L, oVre8I6UXc3b._le.transform(F7hx8eO0pPYp))
xafqLlk3kkUe(KNx0Ujaz9UM0(E767K3_VwyGU, oVre8I6UXc3b), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\xcf\x9a'), chr(4400 - 4300) + '\x65' + chr(9371 - 9272) + chr(0b1101111) + chr(1916 - 1816) + '\x65')('\x75' + chr(0b1110100) + '\x66' + '\055' + chr(56)))(xEgrFJ0REugl, CQt8ijsC_TMG, sample_weight=dKFzs5yZvThT, init_score=XcnKSna3Kib3, eval_set=B9iBAprBc4Cc, eval_names=DgHfqQgK_9lu, eval_sample_weight=S8TIBQnWz3zF, eval_class_weight=tqadcWSBKPNT, eval_init_score=vykUAHlk8wVl, eval_metric=tbbpbfMnen5w, early_stopping_rounds=k4mrqJWJE3I8, verbose=j5jgrsOGZdZ4, feature_name=lPuZQT6rFAxL, categorical_feature=G2CxGplaqd7R, callbacks=PX4b0z2UpTWH)
return oVre8I6UXc3b
|
Microsoft/LightGBM
|
python-package/lightgbm/sklearn.py
|
LGBMClassifier.predict
|
def predict(self, X, raw_score=False, num_iteration=None,
pred_leaf=False, pred_contrib=False, **kwargs):
"""Docstring is inherited from the LGBMModel."""
result = self.predict_proba(X, raw_score, num_iteration,
pred_leaf, pred_contrib, **kwargs)
if raw_score or pred_leaf or pred_contrib:
return result
else:
class_index = np.argmax(result, axis=1)
return self._le.inverse_transform(class_index)
|
python
|
def predict(self, X, raw_score=False, num_iteration=None,
pred_leaf=False, pred_contrib=False, **kwargs):
"""Docstring is inherited from the LGBMModel."""
result = self.predict_proba(X, raw_score, num_iteration,
pred_leaf, pred_contrib, **kwargs)
if raw_score or pred_leaf or pred_contrib:
return result
else:
class_index = np.argmax(result, axis=1)
return self._le.inverse_transform(class_index)
|
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] |
Docstring is inherited from the LGBMModel.
|
[
"Docstring",
"is",
"inherited",
"from",
"the",
"LGBMModel",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/sklearn.py#L756-L765
|
train
|
Predict the class of the object.
|
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(0b1111 + 0o43) + chr(51) + chr(0b110010 + 0o1), 41098 - 41090), ehT0Px3KOsy9('\060' + chr(9439 - 9328) + chr(0b110001) + chr(0b11000 + 0o35) + chr(0b110000 + 0o2), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(0b110100 + 0o1) + '\066', 3906 - 3898), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + chr(0b11101 + 0o25) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9779 - 9668) + chr(0b110001) + chr(55) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\060' + '\x30', 0o10), ehT0Px3KOsy9('\x30' + chr(0b111000 + 0o67) + chr(49) + chr(2608 - 2554) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + '\064', 0b1000), ehT0Px3KOsy9(chr(796 - 748) + '\x6f' + chr(49) + '\061' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(1838 - 1790) + chr(111) + '\063' + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1001100 + 0o43) + '\060', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110000 + 0o3) + chr(2109 - 2061), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\063' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1010001 + 0o36) + chr(0b1010 + 0o51) + '\061' + chr(0b10110 + 0o36), 0o10), ehT0Px3KOsy9(chr(378 - 330) + chr(0b1101111) + chr(250 - 200) + chr(0b110100) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(50) + '\x36' + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1241 - 1192) + '\062' + chr(0b101110 + 0o4), 64680 - 64672), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + chr(51) + chr(50) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + '\066' + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(51) + '\066' + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011011 + 0o24) + chr(0b10110 + 0o35) + '\x36', 0o10), ehT0Px3KOsy9(chr(640 - 592) + '\x6f' + chr(0b100 + 0o55) + chr(0b110010) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + '\065' + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(867 - 819) + chr(1459 - 1408), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111111 + 0o60) + '\063' + chr(0b110011) + chr(397 - 343), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1542 - 1491) + chr(0b110000) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(5820 - 5709) + chr(0b110001) + chr(53) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + '\x35' + chr(49), 46728 - 46720), ehT0Px3KOsy9(chr(48) + chr(9720 - 9609) + chr(0b110110) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + chr(0b110000), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110000 + 0o2) + chr(0b110100) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(49) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + '\063' + '\x36' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100010 + 0o15) + chr(2176 - 2126) + chr(53) + chr(52), 53812 - 53804), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + chr(0b110011) + chr(1976 - 1925), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + chr(50) + chr(2043 - 1994) + '\x31', 43140 - 43132), ehT0Px3KOsy9('\060' + chr(0b10111 + 0o130) + chr(0b110011) + '\067' + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(0b1010 + 0o46) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(52) + '\x31', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + chr(2095 - 2042) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5'), chr(100) + '\145' + '\143' + chr(0b1101101 + 0o2) + '\x64' + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1111 + 0o127) + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def POyImYQwg5VB(oVre8I6UXc3b, xEgrFJ0REugl, pyIRxQu_AGPu=ehT0Px3KOsy9(chr(618 - 570) + chr(111) + chr(529 - 481), 8), MWCus7xfQEVr=None, KH5LYZDn2P2c=ehT0Px3KOsy9('\x30' + '\x6f' + chr(48), 8), ajcF5OWQ6LAE=ehT0Px3KOsy9(chr(0b110000) + chr(3150 - 3039) + chr(121 - 73), 8), **M8EIoTs2GJXE):
ShZmEKfTkAOZ = oVre8I6UXc3b.predict_proba(xEgrFJ0REugl, pyIRxQu_AGPu, MWCus7xfQEVr, KH5LYZDn2P2c, ajcF5OWQ6LAE, **M8EIoTs2GJXE)
if pyIRxQu_AGPu or KH5LYZDn2P2c or ajcF5OWQ6LAE:
return ShZmEKfTkAOZ
else:
fRlPB_4hVgsU = WqUC3KWvYVup.argmax(ShZmEKfTkAOZ, axis=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1932 - 1883), ord("\x08")))
return xafqLlk3kkUe(oVre8I6UXc3b._le, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\x04\xd8w\x0b3\x13C8hav\xeb\xaa\xcd\xc0?'), chr(6138 - 6038) + chr(101) + chr(0b1100011) + chr(0b111 + 0o150) + chr(987 - 887) + chr(0b100001 + 0o104))('\165' + '\x74' + chr(0b1010100 + 0o22) + chr(45) + chr(2665 - 2609)))(fRlPB_4hVgsU)
|
Microsoft/LightGBM
|
python-package/lightgbm/sklearn.py
|
LGBMClassifier.predict_proba
|
def predict_proba(self, X, raw_score=False, num_iteration=None,
pred_leaf=False, pred_contrib=False, **kwargs):
"""Return the predicted probability for each class for each sample.
Parameters
----------
X : array-like or sparse matrix of shape = [n_samples, n_features]
Input features matrix.
raw_score : bool, optional (default=False)
Whether to predict raw scores.
num_iteration : int or None, optional (default=None)
Limit number of iterations in the prediction.
If None, if the best iteration exists, it is used; otherwise, all trees are used.
If <= 0, all trees are used (no limits).
pred_leaf : bool, optional (default=False)
Whether to predict leaf index.
pred_contrib : bool, optional (default=False)
Whether to predict feature contributions.
Note
----
If you want to get more explanations for your model's predictions using SHAP values,
like SHAP interaction values,
you can install the shap package (https://github.com/slundberg/shap).
Note that unlike the shap package, with ``pred_contrib`` we return a matrix with an extra
column, where the last column is the expected value.
**kwargs
Other parameters for the prediction.
Returns
-------
predicted_probability : array-like of shape = [n_samples, n_classes]
The predicted probability for each class for each sample.
X_leaves : array-like of shape = [n_samples, n_trees * n_classes]
If ``pred_leaf=True``, the predicted leaf of every tree for each sample.
X_SHAP_values : array-like of shape = [n_samples, (n_features + 1) * n_classes]
If ``pred_contrib=True``, the feature contributions for each sample.
"""
result = super(LGBMClassifier, self).predict(X, raw_score, num_iteration,
pred_leaf, pred_contrib, **kwargs)
if self._n_classes > 2 or raw_score or pred_leaf or pred_contrib:
return result
else:
return np.vstack((1. - result, result)).transpose()
|
python
|
def predict_proba(self, X, raw_score=False, num_iteration=None,
pred_leaf=False, pred_contrib=False, **kwargs):
"""Return the predicted probability for each class for each sample.
Parameters
----------
X : array-like or sparse matrix of shape = [n_samples, n_features]
Input features matrix.
raw_score : bool, optional (default=False)
Whether to predict raw scores.
num_iteration : int or None, optional (default=None)
Limit number of iterations in the prediction.
If None, if the best iteration exists, it is used; otherwise, all trees are used.
If <= 0, all trees are used (no limits).
pred_leaf : bool, optional (default=False)
Whether to predict leaf index.
pred_contrib : bool, optional (default=False)
Whether to predict feature contributions.
Note
----
If you want to get more explanations for your model's predictions using SHAP values,
like SHAP interaction values,
you can install the shap package (https://github.com/slundberg/shap).
Note that unlike the shap package, with ``pred_contrib`` we return a matrix with an extra
column, where the last column is the expected value.
**kwargs
Other parameters for the prediction.
Returns
-------
predicted_probability : array-like of shape = [n_samples, n_classes]
The predicted probability for each class for each sample.
X_leaves : array-like of shape = [n_samples, n_trees * n_classes]
If ``pred_leaf=True``, the predicted leaf of every tree for each sample.
X_SHAP_values : array-like of shape = [n_samples, (n_features + 1) * n_classes]
If ``pred_contrib=True``, the feature contributions for each sample.
"""
result = super(LGBMClassifier, self).predict(X, raw_score, num_iteration,
pred_leaf, pred_contrib, **kwargs)
if self._n_classes > 2 or raw_score or pred_leaf or pred_contrib:
return result
else:
return np.vstack((1. - result, result)).transpose()
|
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] |
Return the predicted probability for each class for each sample.
Parameters
----------
X : array-like or sparse matrix of shape = [n_samples, n_features]
Input features matrix.
raw_score : bool, optional (default=False)
Whether to predict raw scores.
num_iteration : int or None, optional (default=None)
Limit number of iterations in the prediction.
If None, if the best iteration exists, it is used; otherwise, all trees are used.
If <= 0, all trees are used (no limits).
pred_leaf : bool, optional (default=False)
Whether to predict leaf index.
pred_contrib : bool, optional (default=False)
Whether to predict feature contributions.
Note
----
If you want to get more explanations for your model's predictions using SHAP values,
like SHAP interaction values,
you can install the shap package (https://github.com/slundberg/shap).
Note that unlike the shap package, with ``pred_contrib`` we return a matrix with an extra
column, where the last column is the expected value.
**kwargs
Other parameters for the prediction.
Returns
-------
predicted_probability : array-like of shape = [n_samples, n_classes]
The predicted probability for each class for each sample.
X_leaves : array-like of shape = [n_samples, n_trees * n_classes]
If ``pred_leaf=True``, the predicted leaf of every tree for each sample.
X_SHAP_values : array-like of shape = [n_samples, (n_features + 1) * n_classes]
If ``pred_contrib=True``, the feature contributions for each sample.
|
[
"Return",
"the",
"predicted",
"probability",
"for",
"each",
"class",
"for",
"each",
"sample",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/sklearn.py#L769-L813
|
train
|
Predict the probability for each class for each sample.
|
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(0b100110 + 0o15) + '\x37' + chr(0b110010), 44839 - 44831), ehT0Px3KOsy9(chr(1870 - 1822) + chr(0b10000 + 0o137) + chr(2316 - 2265), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x35' + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b10111 + 0o34) + chr(852 - 804), 49669 - 49661), ehT0Px3KOsy9('\x30' + chr(0b1000110 + 0o51) + chr(0b110001) + chr(0b101111 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(140 - 92) + chr(111) + chr(0b110001) + '\064' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001111 + 0o40) + '\x31' + '\064' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(1099 - 1051) + chr(111) + chr(0b10111 + 0o34) + chr(638 - 589) + chr(1970 - 1916), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b110011) + chr(0b1100 + 0o45), 6635 - 6627), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100101 + 0o15) + chr(0b110101) + '\065', 19733 - 19725), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b110110) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1011111 + 0o20) + chr(52) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101001 + 0o6) + '\x31' + chr(0b11 + 0o57) + chr(0b101110 + 0o6), 23848 - 23840), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(1490 - 1379) + chr(49) + chr(0b11000 + 0o37) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2677 - 2622) + chr(0b11110 + 0o22), 39232 - 39224), ehT0Px3KOsy9(chr(0b110000) + chr(11338 - 11227) + chr(0b1111 + 0o44) + chr(0b110101 + 0o1), 9921 - 9913), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\064' + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1110 + 0o44) + chr(1443 - 1389) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(476 - 426) + chr(0b110010 + 0o1) + chr(1992 - 1941), 0o10), ehT0Px3KOsy9(chr(1166 - 1118) + chr(111) + chr(1921 - 1871) + chr(52) + chr(0b1111 + 0o44), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110100) + '\x33', 23626 - 23618), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\064' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101 + 0o142) + chr(54) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + chr(549 - 498) + chr(1052 - 997) + chr(0b110010 + 0o4), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\065' + '\x34', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101001 + 0o6) + chr(0b110010) + chr(0b101100 + 0o5) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1001100 + 0o43) + '\x31' + chr(1037 - 986) + chr(0b1110 + 0o45), 56 - 48), ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + chr(0b110001 + 0o1) + '\063' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(1936 - 1888) + chr(0b110101 + 0o72) + chr(0b10011 + 0o36) + chr(0b110101) + chr(1126 - 1076), 46850 - 46842), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\x30' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(54) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + chr(0b110100) + '\x32', 0b1000), ehT0Px3KOsy9(chr(1713 - 1665) + chr(2197 - 2086) + '\x35' + chr(0b101 + 0o61), 8), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1001101 + 0o42) + chr(0b1110 + 0o44) + chr(0b1011 + 0o50) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100 + 0o56) + '\x33' + chr(0b101 + 0o61), 8), ehT0Px3KOsy9('\060' + '\157' + chr(798 - 749) + chr(0b11 + 0o56) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(3683 - 3572) + chr(0b110010) + chr(50) + chr(2461 - 2407), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11110 + 0o24) + chr(0b100 + 0o62) + '\x32', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b110100 + 0o73) + chr(0b10 + 0o63) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4'), chr(0b110000 + 0o64) + chr(0b111001 + 0o54) + '\x63' + '\157' + '\x64' + '\x65')(chr(0b1110101) + chr(0b100000 + 0o124) + chr(2222 - 2120) + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def eFo697IDUkZO(oVre8I6UXc3b, xEgrFJ0REugl, pyIRxQu_AGPu=ehT0Px3KOsy9('\x30' + '\157' + chr(1167 - 1119), ord("\x08")), MWCus7xfQEVr=None, KH5LYZDn2P2c=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x30', 8), ajcF5OWQ6LAE=ehT0Px3KOsy9(chr(1069 - 1021) + chr(9655 - 9544) + chr(0b110 + 0o52), 8), **M8EIoTs2GJXE):
ShZmEKfTkAOZ = KNx0Ujaz9UM0(E767K3_VwyGU, oVre8I6UXc3b).POyImYQwg5VB(xEgrFJ0REugl, pyIRxQu_AGPu, MWCus7xfQEVr, KH5LYZDn2P2c, ajcF5OWQ6LAE, **M8EIoTs2GJXE)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x82Ioe\xdab9S\x80\xcf\xdc\x85'), '\x64' + chr(0b1100101) + chr(4425 - 4326) + chr(11184 - 11073) + '\x64' + chr(0b1100101))(chr(117) + chr(116) + chr(0b1011110 + 0o10) + chr(631 - 586) + chr(0b111000))) > ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010), 57477 - 57469) or pyIRxQu_AGPu or KH5LYZDn2P2c or ajcF5OWQ6LAE:
return ShZmEKfTkAOZ
else:
return xafqLlk3kkUe(WqUC3KWvYVup.vstack((1.0 - ShZmEKfTkAOZ, ShZmEKfTkAOZ)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8eqOa\xeb|\x0c\x15\xab'), chr(100) + chr(0b1011101 + 0o10) + '\x63' + chr(8690 - 8579) + chr(7213 - 7113) + '\145')('\x75' + chr(116) + chr(0b100000 + 0o106) + '\x2d' + '\070'))()
|
Microsoft/LightGBM
|
python-package/lightgbm/sklearn.py
|
LGBMRanker.fit
|
def fit(self, X, y,
sample_weight=None, init_score=None, group=None,
eval_set=None, eval_names=None, eval_sample_weight=None,
eval_init_score=None, eval_group=None, eval_metric=None,
eval_at=[1], early_stopping_rounds=None, verbose=True,
feature_name='auto', categorical_feature='auto', callbacks=None):
"""Docstring is inherited from the LGBMModel."""
# check group data
if group is None:
raise ValueError("Should set group for ranking task")
if eval_set is not None:
if eval_group is None:
raise ValueError("Eval_group cannot be None when eval_set is not None")
elif len(eval_group) != len(eval_set):
raise ValueError("Length of eval_group should be equal to eval_set")
elif (isinstance(eval_group, dict)
and any(i not in eval_group or eval_group[i] is None for i in range_(len(eval_group)))
or isinstance(eval_group, list)
and any(group is None for group in eval_group)):
raise ValueError("Should set group for all eval datasets for ranking task; "
"if you use dict, the index should start from 0")
self._eval_at = eval_at
super(LGBMRanker, self).fit(X, y, sample_weight=sample_weight,
init_score=init_score, group=group,
eval_set=eval_set, eval_names=eval_names,
eval_sample_weight=eval_sample_weight,
eval_init_score=eval_init_score, eval_group=eval_group,
eval_metric=eval_metric,
early_stopping_rounds=early_stopping_rounds,
verbose=verbose, feature_name=feature_name,
categorical_feature=categorical_feature,
callbacks=callbacks)
return self
|
python
|
def fit(self, X, y,
sample_weight=None, init_score=None, group=None,
eval_set=None, eval_names=None, eval_sample_weight=None,
eval_init_score=None, eval_group=None, eval_metric=None,
eval_at=[1], early_stopping_rounds=None, verbose=True,
feature_name='auto', categorical_feature='auto', callbacks=None):
"""Docstring is inherited from the LGBMModel."""
# check group data
if group is None:
raise ValueError("Should set group for ranking task")
if eval_set is not None:
if eval_group is None:
raise ValueError("Eval_group cannot be None when eval_set is not None")
elif len(eval_group) != len(eval_set):
raise ValueError("Length of eval_group should be equal to eval_set")
elif (isinstance(eval_group, dict)
and any(i not in eval_group or eval_group[i] is None for i in range_(len(eval_group)))
or isinstance(eval_group, list)
and any(group is None for group in eval_group)):
raise ValueError("Should set group for all eval datasets for ranking task; "
"if you use dict, the index should start from 0")
self._eval_at = eval_at
super(LGBMRanker, self).fit(X, y, sample_weight=sample_weight,
init_score=init_score, group=group,
eval_set=eval_set, eval_names=eval_names,
eval_sample_weight=eval_sample_weight,
eval_init_score=eval_init_score, eval_group=eval_group,
eval_metric=eval_metric,
early_stopping_rounds=early_stopping_rounds,
verbose=verbose, feature_name=feature_name,
categorical_feature=categorical_feature,
callbacks=callbacks)
return self
|
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"\"Should set group for all eval datasets for ranking task; \"",
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] |
Docstring is inherited from the LGBMModel.
|
[
"Docstring",
"is",
"inherited",
"from",
"the",
"LGBMModel",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/sklearn.py#L833-L867
|
train
|
Fit the LGBM model to the data.
|
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(1598 - 1550) + '\157' + '\x32' + chr(447 - 392) + chr(0b10001 + 0o40), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10011 + 0o40) + chr(0b1111 + 0o41) + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(0b101110 + 0o10) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(2298 - 2187) + '\063' + chr(51) + '\x33', 0o10), ehT0Px3KOsy9(chr(2163 - 2115) + '\157' + '\x31' + chr(49) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(1513 - 1463) + chr(0b1100 + 0o53) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(840 - 792) + '\x6f' + chr(1326 - 1271) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(0b110100) + chr(0b110001), 52103 - 52095), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2079 - 2030) + chr(0b100111 + 0o15) + chr(0b101101 + 0o5), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + '\062' + '\061' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(50) + chr(310 - 256), 64323 - 64315), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(0b11110 + 0o25) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101111 + 0o100) + '\x32' + '\067' + '\060', 0b1000), ehT0Px3KOsy9(chr(2107 - 2059) + chr(111) + chr(938 - 888) + chr(49) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + '\x31' + '\060' + chr(0b11111 + 0o26), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(82 - 33) + chr(0b11110 + 0o31) + '\x34', 54263 - 54255), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + chr(0b100011 + 0o16) + chr(717 - 669) + chr(0b10010 + 0o42), 2420 - 2412), ehT0Px3KOsy9('\060' + '\x6f' + chr(1814 - 1763) + chr(0b110110 + 0o0) + chr(0b11100 + 0o30), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7312 - 7201) + chr(487 - 436) + chr(55) + '\064', 64736 - 64728), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(978 - 924) + chr(48), 0o10), ehT0Px3KOsy9(chr(1839 - 1791) + '\157' + chr(0b110001 + 0o5) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + chr(0b100111 + 0o12) + chr(0b110111) + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1277 - 1227) + chr(0b101101 + 0o5) + '\066', 8), ehT0Px3KOsy9(chr(2112 - 2064) + chr(1435 - 1324) + chr(0b110001) + chr(0b110001) + '\x31', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1695 - 1644) + chr(52) + chr(1647 - 1592), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b110011) + chr(1625 - 1573), 0b1000), ehT0Px3KOsy9('\x30' + chr(12201 - 12090) + chr(49) + '\x35' + chr(2633 - 2578), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + chr(0b11110 + 0o27) + chr(52), 49358 - 49350), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + '\x32' + chr(55) + chr(2188 - 2139), 8), ehT0Px3KOsy9('\060' + chr(0b1001101 + 0o42) + chr(0b110010) + '\x32' + chr(0b1100 + 0o46), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\x32' + chr(0b11010 + 0o27), 55298 - 55290), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(693 - 639) + '\x36', 0b1000), ehT0Px3KOsy9(chr(1374 - 1326) + chr(0b1101111) + '\x33' + chr(0b110001) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101110 + 0o4) + chr(53) + chr(54), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(1406 - 1355) + chr(1541 - 1486), 59347 - 59339), ehT0Px3KOsy9('\x30' + chr(0b1000001 + 0o56) + chr(0b110010) + '\x33' + chr(2154 - 2101), 59301 - 59293), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\x34' + chr(0b110110), 31861 - 31853), ehT0Px3KOsy9('\060' + '\x6f' + '\065' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100111 + 0o110) + chr(1665 - 1613) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(89 - 35) + chr(0b110110), 61226 - 61218)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b111111 + 0o60) + chr(0b110101) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x97'), chr(2041 - 1941) + chr(101) + chr(0b1100011) + '\x6f' + chr(0b1100100) + '\145')('\x75' + chr(0b1110100) + '\146' + chr(45) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def gggbGMeQaMBR(oVre8I6UXc3b, xEgrFJ0REugl, SqiSOtYOqOJH, dKFzs5yZvThT=None, XcnKSna3Kib3=None, N9UnmYvaW1pO=None, B9iBAprBc4Cc=None, DgHfqQgK_9lu=None, S8TIBQnWz3zF=None, vykUAHlk8wVl=None, hdwZlgmg9A03=None, tbbpbfMnen5w=None, Is_WI0MWNgCJ=[ehT0Px3KOsy9(chr(2190 - 2142) + chr(5422 - 5311) + chr(49), 0o10)], k4mrqJWJE3I8=None, j5jgrsOGZdZ4=ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + chr(528 - 479), 8), lPuZQT6rFAxL=xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\xb6\x03\xb4'), '\144' + '\x65' + '\143' + chr(111) + chr(100) + chr(7710 - 7609))('\x75' + '\164' + chr(4801 - 4699) + chr(421 - 376) + chr(56)), G2CxGplaqd7R=xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\xb6\x03\xb4'), chr(0b11101 + 0o107) + chr(0b111100 + 0o51) + chr(99) + chr(111) + '\144' + chr(1694 - 1593))(chr(0b1110101) + '\x74' + chr(7481 - 7379) + chr(45) + chr(56)), PX4b0z2UpTWH=None):
if N9UnmYvaW1pO is None:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b"\xea\xab\x18\xae%\xd9\x1a\xd2\x07\xfd\xb6\xfe\xca\xe30\x0cd\x92\x93\x02\x16\x0b\xf7'\x8c5\x01K\x99\xe6\xb0\x85\xa6"), '\x64' + '\x65' + chr(0b100101 + 0o76) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(11251 - 11134) + chr(0b1001101 + 0o47) + chr(0b1011000 + 0o16) + '\x2d' + '\070'))
if B9iBAprBc4Cc is not None:
if hdwZlgmg9A03 is None:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b"\xfc\xb5\x16\xb7\x16\xdaH\xce\x17\xf9\xb6\xfa\xd9\xe2+\x130\xd4\x9e\x15\x167\xf9'\x82|\x18D\xdc\xfc\xf1\x93\xbb\xcf\xb3\xc2\x15KQ\x96\xd0\xb0W\xb5&\xc9\x1a\xef\r\xe7\xf3"), '\144' + chr(101) + '\x63' + chr(7221 - 7110) + chr(0b1100100) + '\x65')('\x75' + chr(11457 - 11341) + chr(102) + chr(0b11011 + 0o22) + '\x38'))
elif c2A0yzQpDQB3(hdwZlgmg9A03) != c2A0yzQpDQB3(B9iBAprBc4Cc):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\xa6\x19\xbc=\xd5\x1a\xce\x04\xa9\xf3\xef\xd9\xe0\x1a\x1b6\x9b\x89\x00\x16\n\xfe&\x920\x0b\x0c\xdb\xf7\xf1\x93\xbc\xdb\xbe\xf1FZJ\x96\xdc\xb5\x16\xb7\x16\xce_\xd5'), chr(0b101110 + 0o66) + '\145' + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(0b111001 + 0o54))(chr(0b1011101 + 0o30) + '\164' + '\146' + chr(45) + chr(1599 - 1543)))
elif PlSM16l2KDPD(hdwZlgmg9A03, wLqBDw8l0eIm) and UVSi4XW7eBIM((WVxHKyX45z_L not in hdwZlgmg9A03 or hdwZlgmg9A03[WVxHKyX45z_L] is None for WVxHKyX45z_L in AaLiQ7nyMvGD(c2A0yzQpDQB3(hdwZlgmg9A03)))) or (PlSM16l2KDPD(hdwZlgmg9A03, YyaZ4tpXu4lf) and UVSi4XW7eBIM((N9UnmYvaW1pO is None for N9UnmYvaW1pO in hdwZlgmg9A03))):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xab\x18\xae%\xd9\x1a\xd2\x07\xfd\xb6\xfe\xca\xe30\x0cd\x92\x93\x02\x16\x18\xfa%\xc79\x19M\xd5\xb2\xb5\x97\xb9\xcf\xac\xf8\x12]\x05\xd0\xd6\xb1W\xa9(\xd3Q\xc8\x0c\xee\xb6\xed\xd9\xff.Gd\x9d\x9aPO\x16\xe3i\x92/\n\x0c\xdd\xfb\xb2\x82\xe1\x8e\xab\xf5\x03\x0eL\xd8\xdd\xa6\x0f\xfb:\xd5U\xd4\x0e\xed\xb6\xea\xcc\xed7\x08d\x92\x8e\x1f[Y\xa6'), chr(0b11101 + 0o107) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(13617 - 13500) + '\x74' + chr(0b1100110) + chr(972 - 927) + chr(1269 - 1213)))
oVre8I6UXc3b.pmtAAgPGKG1F = Is_WI0MWNgCJ
xafqLlk3kkUe(KNx0Ujaz9UM0(Vlv1VWC5d4be, oVre8I6UXc3b), xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf\xaa\x03'), chr(576 - 476) + chr(0b1100101) + chr(1490 - 1391) + chr(0b111010 + 0o65) + '\x64' + '\145')(chr(0b1110101) + chr(116) + chr(102) + chr(45) + chr(56)))(xEgrFJ0REugl, SqiSOtYOqOJH, sample_weight=dKFzs5yZvThT, init_score=XcnKSna3Kib3, group=N9UnmYvaW1pO, eval_set=B9iBAprBc4Cc, eval_names=DgHfqQgK_9lu, eval_sample_weight=S8TIBQnWz3zF, eval_init_score=vykUAHlk8wVl, eval_group=hdwZlgmg9A03, eval_metric=tbbpbfMnen5w, early_stopping_rounds=k4mrqJWJE3I8, verbose=j5jgrsOGZdZ4, feature_name=lPuZQT6rFAxL, categorical_feature=G2CxGplaqd7R, callbacks=PX4b0z2UpTWH)
return oVre8I6UXc3b
|
Microsoft/LightGBM
|
helpers/parameter_generator.py
|
get_parameter_infos
|
def get_parameter_infos(config_hpp):
"""Parse config header file.
Parameters
----------
config_hpp : string
Path to the config header file.
Returns
-------
infos : tuple
Tuple with names and content of sections.
"""
is_inparameter = False
parameter_group = None
cur_key = None
cur_info = {}
keys = []
member_infos = []
with open(config_hpp) as config_hpp_file:
for line in config_hpp_file:
if "#pragma region Parameters" in line:
is_inparameter = True
elif "#pragma region" in line and "Parameters" in line:
cur_key = line.split("region")[1].strip()
keys.append(cur_key)
member_infos.append([])
elif '#pragma endregion' in line:
if cur_key is not None:
cur_key = None
elif is_inparameter:
is_inparameter = False
elif cur_key is not None:
line = line.strip()
if line.startswith("//"):
key, _, val = line[2:].partition("=")
key = key.strip()
val = val.strip()
if key not in cur_info:
if key == "descl2" and "desc" not in cur_info:
cur_info["desc"] = []
elif key != "descl2":
cur_info[key] = []
if key == "desc":
cur_info["desc"].append(("l1", val))
elif key == "descl2":
cur_info["desc"].append(("l2", val))
else:
cur_info[key].append(val)
elif line:
has_eqsgn = False
tokens = line.split("=")
if len(tokens) == 2:
if "default" not in cur_info:
cur_info["default"] = [tokens[1][:-1].strip()]
has_eqsgn = True
tokens = line.split()
cur_info["inner_type"] = [tokens[0].strip()]
if "name" not in cur_info:
if has_eqsgn:
cur_info["name"] = [tokens[1].strip()]
else:
cur_info["name"] = [tokens[1][:-1].strip()]
member_infos[-1].append(cur_info)
cur_info = {}
return keys, member_infos
|
python
|
def get_parameter_infos(config_hpp):
"""Parse config header file.
Parameters
----------
config_hpp : string
Path to the config header file.
Returns
-------
infos : tuple
Tuple with names and content of sections.
"""
is_inparameter = False
parameter_group = None
cur_key = None
cur_info = {}
keys = []
member_infos = []
with open(config_hpp) as config_hpp_file:
for line in config_hpp_file:
if "#pragma region Parameters" in line:
is_inparameter = True
elif "#pragma region" in line and "Parameters" in line:
cur_key = line.split("region")[1].strip()
keys.append(cur_key)
member_infos.append([])
elif '#pragma endregion' in line:
if cur_key is not None:
cur_key = None
elif is_inparameter:
is_inparameter = False
elif cur_key is not None:
line = line.strip()
if line.startswith("//"):
key, _, val = line[2:].partition("=")
key = key.strip()
val = val.strip()
if key not in cur_info:
if key == "descl2" and "desc" not in cur_info:
cur_info["desc"] = []
elif key != "descl2":
cur_info[key] = []
if key == "desc":
cur_info["desc"].append(("l1", val))
elif key == "descl2":
cur_info["desc"].append(("l2", val))
else:
cur_info[key].append(val)
elif line:
has_eqsgn = False
tokens = line.split("=")
if len(tokens) == 2:
if "default" not in cur_info:
cur_info["default"] = [tokens[1][:-1].strip()]
has_eqsgn = True
tokens = line.split()
cur_info["inner_type"] = [tokens[0].strip()]
if "name" not in cur_info:
if has_eqsgn:
cur_info["name"] = [tokens[1].strip()]
else:
cur_info["name"] = [tokens[1][:-1].strip()]
member_infos[-1].append(cur_info)
cur_info = {}
return keys, member_infos
|
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] |
Parse config header file.
Parameters
----------
config_hpp : string
Path to the config header file.
Returns
-------
infos : tuple
Tuple with names and content of sections.
|
[
"Parse",
"config",
"header",
"file",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/helpers/parameter_generator.py#L12-L77
|
train
|
Parse the config header file and return a tuple with names and content of sections.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(111) + chr(1877 - 1828) + chr(0b110000) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1000110 + 0o51) + chr(1896 - 1845) + chr(54) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\x31' + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\x37' + chr(1719 - 1669), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1 + 0o62) + chr(55) + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(0b1100110 + 0o11) + chr(54), 0o10), ehT0Px3KOsy9(chr(918 - 870) + chr(0b1101111) + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(48) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(0b101100 + 0o103) + chr(50) + chr(146 - 93) + chr(0b100111 + 0o15), 21552 - 21544), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(5366 - 5255) + chr(54) + '\060', 65435 - 65427), ehT0Px3KOsy9('\x30' + chr(0b1001100 + 0o43) + '\x31' + chr(0b101 + 0o57) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(453 - 342) + chr(0b100000 + 0o22) + chr(0b100111 + 0o16), 0o10), ehT0Px3KOsy9(chr(1066 - 1018) + chr(111) + chr(0b110010) + chr(49) + chr(0b100000 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + '\x34' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + '\063' + chr(665 - 616), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(6689 - 6578) + '\062' + '\062' + chr(2706 - 2651), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011101 + 0o22) + '\063' + chr(853 - 802) + chr(2432 - 2378), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(2591 - 2540) + chr(48), 51332 - 51324), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b110010 + 0o0) + '\066', 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + chr(0b110001) + chr(0b110101) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(2239 - 2191) + chr(0b1101111) + chr(0b1000 + 0o53) + '\061' + chr(156 - 108), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(2263 - 2214) + '\x33', 0o10), ehT0Px3KOsy9(chr(1515 - 1467) + '\157' + chr(0b110010) + '\x33' + chr(231 - 179), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\x33' + chr(50), 18216 - 18208), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(1764 - 1709) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + chr(0b110001) + chr(55) + chr(0b1010 + 0o46), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\x35' + chr(0b110100), 57119 - 57111), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(927 - 878) + chr(51) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(5802 - 5691) + chr(0b110011) + chr(2603 - 2549) + chr(1032 - 983), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\x36' + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + chr(4841 - 4730) + chr(50) + '\060' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(0b101010 + 0o7) + chr(1585 - 1534) + chr(0b111 + 0o56), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(0b1001 + 0o47) + chr(1221 - 1170), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1568 - 1516) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + '\061' + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100 + 0o143) + chr(50) + '\x37' + chr(51), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101011 + 0o4) + chr(0b110110) + chr(169 - 121), 8), ehT0Px3KOsy9('\x30' + chr(0b100000 + 0o117) + chr(0b101000 + 0o13) + '\x32' + chr(52), 33464 - 33456), ehT0Px3KOsy9(chr(0b110000) + chr(875 - 764) + '\062' + chr(0b110100) + chr(58 - 10), 40372 - 40364), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\062' + chr(0b10110 + 0o33), 39115 - 39107)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065' + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'k'), chr(361 - 261) + '\145' + '\x63' + chr(111) + chr(6208 - 6108) + chr(6413 - 6312))(chr(12910 - 12793) + chr(12872 - 12756) + chr(0b1001100 + 0o32) + chr(1788 - 1743) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def VmPT79mQYhDo(RBjYoyq4xwdZ):
sOzHwwo3FuH8 = ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(0b110000), 0b1000)
r042v9RXJ2AM = None
LaucWUFl4So8 = None
LCuKxEO_w3tQ = {}
w8H8C9ec5BO1 = []
hVIJHcSPNq4b = []
with _fwkIVCGgtAN(RBjYoyq4xwdZ) as O_3p3EhA59wr:
for LycYkDpyelF6 in O_3p3EhA59wr:
if xafqLlk3kkUe(SXOLrMavuUCe(b'f\x80>\xdb\x9ekb\xa3\xdeU\x05|\xe3\xcf9\xc7\xbf*\xb7\x02\xad\x7f\xf9\xa8\xc8'), chr(0b1000000 + 0o44) + '\x65' + '\x63' + '\157' + chr(100) + '\145')(chr(0b1010100 + 0o41) + '\x74' + chr(0b1000110 + 0o40) + chr(0b101101 + 0o0) + chr(0b10010 + 0o46)) in LycYkDpyelF6:
sOzHwwo3FuH8 = ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(4902 - 4791) + chr(49), 0b1000)
elif xafqLlk3kkUe(SXOLrMavuUCe(b'f\x80>\xdb\x9ekb\xa3\xdeU\x05|\xe3\xcf'), chr(100) + chr(101) + chr(0b1100011) + chr(111) + '\144' + '\145')(chr(117) + chr(7630 - 7514) + chr(5947 - 5845) + '\055' + chr(0b111000)) in LycYkDpyelF6 and xafqLlk3kkUe(SXOLrMavuUCe(b'\x15\x91>\xdb\x94cw\xe6\xdeC'), chr(0b10100 + 0o120) + chr(8450 - 8349) + chr(0b101111 + 0o64) + chr(0b1101111) + '\144' + chr(10138 - 10037))('\165' + chr(0b1110100) + chr(0b1100110) + chr(670 - 625) + '\x38') in LycYkDpyelF6:
LaucWUFl4So8 = LycYkDpyelF6.split(xafqLlk3kkUe(SXOLrMavuUCe(b'7\x95+\xd3\x96h'), chr(100) + chr(7892 - 7791) + chr(7308 - 7209) + '\x6f' + chr(0b110010 + 0o62) + chr(101))(chr(117) + '\164' + chr(0b1100110) + chr(284 - 239) + chr(975 - 919)))[ehT0Px3KOsy9('\060' + '\x6f' + '\061', 8)].strip()
xafqLlk3kkUe(w8H8C9ec5BO1, xafqLlk3kkUe(SXOLrMavuUCe(b'$\x80<\xdf\x97b'), chr(9697 - 9597) + '\145' + chr(99) + chr(2747 - 2636) + '\x64' + chr(236 - 135))('\x75' + chr(0b100101 + 0o117) + chr(0b100000 + 0o106) + '\x2d' + chr(56)))(LaucWUFl4So8)
xafqLlk3kkUe(hVIJHcSPNq4b, xafqLlk3kkUe(SXOLrMavuUCe(b'$\x80<\xdf\x97b'), '\144' + '\x65' + chr(99) + '\157' + '\x64' + chr(0b11001 + 0o114))('\x75' + '\x74' + chr(170 - 68) + chr(0b100111 + 0o6) + chr(2277 - 2221)))([])
elif xafqLlk3kkUe(SXOLrMavuUCe(b'f\x80>\xdb\x9ekb\xa3\xc9^\x06g\xe9\xc6p\xf8\xb0'), chr(0b1000010 + 0o42) + '\145' + '\143' + chr(0b1000010 + 0o55) + chr(100) + chr(8924 - 8823))('\x75' + '\x74' + '\x66' + '\x2d' + chr(0b11 + 0o65)) in LycYkDpyelF6:
if LaucWUFl4So8 is not None:
LaucWUFl4So8 = None
elif sOzHwwo3FuH8:
sOzHwwo3FuH8 = ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(48), 8)
elif LaucWUFl4So8 is not None:
LycYkDpyelF6 = LycYkDpyelF6.strip()
if xafqLlk3kkUe(LycYkDpyelF6, xafqLlk3kkUe(SXOLrMavuUCe(b'6\x84-\xc8\x8dut\xea\xd8X'), '\x64' + '\145' + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(0b10010 + 0o123))(chr(0b1001100 + 0o51) + chr(1859 - 1743) + chr(2717 - 2615) + chr(1219 - 1174) + chr(2936 - 2880)))(xafqLlk3kkUe(SXOLrMavuUCe(b'j\xdf'), '\144' + chr(1889 - 1788) + chr(0b1100011) + chr(111) + '\144' + '\145')(chr(0b1110101) + '\164' + chr(0b1100110) + chr(0b100001 + 0o14) + chr(2353 - 2297))):
(K3J4ZwSlE0sT, VNGQdHSFPrso, pQxH2D_k9sXQ) = LycYkDpyelF6[ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101100 + 0o6), 59854 - 59846):].partition(xafqLlk3kkUe(SXOLrMavuUCe(b'x'), chr(100) + '\x65' + chr(0b11010 + 0o111) + chr(0b1101111) + chr(6438 - 6338) + chr(413 - 312))(chr(0b100010 + 0o123) + chr(116) + chr(0b1100110) + '\055' + chr(0b101011 + 0o15)))
K3J4ZwSlE0sT = K3J4ZwSlE0sT.strip()
pQxH2D_k9sXQ = pQxH2D_k9sXQ.strip()
if K3J4ZwSlE0sT not in LCuKxEO_w3tQ:
if K3J4ZwSlE0sT == xafqLlk3kkUe(SXOLrMavuUCe(b'!\x95?\xd9\x954'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\157' + '\144' + chr(5133 - 5032))('\x75' + '\164' + chr(5152 - 5050) + chr(932 - 887) + '\070') and xafqLlk3kkUe(SXOLrMavuUCe(b'!\x95?\xd9'), chr(0b110100 + 0o60) + chr(2701 - 2600) + chr(1319 - 1220) + chr(0b1101111) + chr(0b11001 + 0o113) + chr(0b1011111 + 0o6))(chr(0b1100111 + 0o16) + chr(0b1101101 + 0o7) + '\x66' + '\055' + '\x38') not in LCuKxEO_w3tQ:
LCuKxEO_w3tQ[xafqLlk3kkUe(SXOLrMavuUCe(b'!\x95?\xd9'), '\144' + '\x65' + chr(99) + chr(0b1100010 + 0o15) + '\x64' + '\x65')('\165' + chr(12935 - 12819) + chr(0b1100110) + '\x2d' + chr(56))] = []
elif K3J4ZwSlE0sT != xafqLlk3kkUe(SXOLrMavuUCe(b'!\x95?\xd9\x954'), chr(0b1100100) + chr(0b111100 + 0o51) + '\143' + chr(0b1001010 + 0o45) + chr(0b1100100) + chr(0b101 + 0o140))(chr(10021 - 9904) + '\164' + '\146' + chr(0b10101 + 0o30) + chr(56)):
LCuKxEO_w3tQ[K3J4ZwSlE0sT] = []
if K3J4ZwSlE0sT == xafqLlk3kkUe(SXOLrMavuUCe(b'!\x95?\xd9'), chr(4703 - 4603) + '\145' + chr(99) + chr(12057 - 11946) + chr(100) + chr(0b1111 + 0o126))(chr(0b111110 + 0o67) + chr(0b1110100) + chr(8161 - 8059) + chr(1598 - 1553) + '\x38'):
xafqLlk3kkUe(LCuKxEO_w3tQ[xafqLlk3kkUe(SXOLrMavuUCe(b'!\x95?\xd9'), '\x64' + '\145' + chr(99) + chr(5845 - 5734) + '\x64' + chr(0b101001 + 0o74))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b10111 + 0o41))], xafqLlk3kkUe(SXOLrMavuUCe(b'$\x80<\xdf\x97b'), '\x64' + chr(8044 - 7943) + chr(0b1100011) + '\157' + chr(100) + '\145')(chr(0b1000001 + 0o64) + '\164' + '\x66' + chr(45) + '\x38'))((xafqLlk3kkUe(SXOLrMavuUCe(b')\xc1'), chr(100) + chr(4497 - 4396) + chr(3426 - 3327) + '\157' + chr(0b1100100) + '\145')(chr(117) + chr(116) + '\x66' + chr(916 - 871) + chr(56)), pQxH2D_k9sXQ))
elif K3J4ZwSlE0sT == xafqLlk3kkUe(SXOLrMavuUCe(b'!\x95?\xd9\x954'), chr(100) + chr(8386 - 8285) + chr(0b1100011) + '\157' + chr(0b1100100) + '\x65')(chr(0b101010 + 0o113) + chr(0b1110100) + '\x66' + chr(660 - 615) + chr(56)):
xafqLlk3kkUe(LCuKxEO_w3tQ[xafqLlk3kkUe(SXOLrMavuUCe(b'!\x95?\xd9'), chr(100) + '\x65' + '\143' + chr(3114 - 3003) + chr(100) + chr(0b1100101))(chr(0b10111 + 0o136) + '\164' + chr(3034 - 2932) + chr(389 - 344) + chr(56))], xafqLlk3kkUe(SXOLrMavuUCe(b'$\x80<\xdf\x97b'), chr(0b1011 + 0o131) + chr(0b111101 + 0o50) + chr(6129 - 6030) + '\157' + chr(4310 - 4210) + chr(101))(chr(0b110101 + 0o100) + chr(0b111100 + 0o70) + '\x66' + chr(45) + '\x38'))((xafqLlk3kkUe(SXOLrMavuUCe(b')\xc2'), chr(7873 - 7773) + chr(101) + '\143' + '\x6f' + '\144' + chr(0b100110 + 0o77))(chr(0b1110010 + 0o3) + chr(6800 - 6684) + chr(102) + chr(0b101101) + chr(1054 - 998)), pQxH2D_k9sXQ))
else:
xafqLlk3kkUe(LCuKxEO_w3tQ[K3J4ZwSlE0sT], xafqLlk3kkUe(SXOLrMavuUCe(b'$\x80<\xdf\x97b'), '\144' + '\x65' + '\143' + chr(3659 - 3548) + chr(3835 - 3735) + chr(0b100 + 0o141))(chr(117) + chr(0b10010 + 0o142) + chr(9863 - 9761) + chr(45) + '\x38'))(pQxH2D_k9sXQ)
elif LycYkDpyelF6:
q3MSC6kMWYw6 = ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + '\x30', 8)
Sz7tXxaCGqJ1 = LycYkDpyelF6.split(xafqLlk3kkUe(SXOLrMavuUCe(b'x'), '\144' + '\145' + chr(7888 - 7789) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(8399 - 8282) + '\x74' + chr(0b111010 + 0o54) + chr(45) + chr(56)))
if c2A0yzQpDQB3(Sz7tXxaCGqJ1) == ehT0Px3KOsy9('\x30' + '\157' + '\x32', 8):
if xafqLlk3kkUe(SXOLrMavuUCe(b'!\x95*\xdb\x8cjw'), chr(100) + '\x65' + '\143' + '\157' + '\x64' + '\145')(chr(117) + '\164' + '\146' + chr(0b101101) + chr(56)) not in LCuKxEO_w3tQ:
LCuKxEO_w3tQ[xafqLlk3kkUe(SXOLrMavuUCe(b'!\x95*\xdb\x8cjw'), chr(100) + '\x65' + chr(4806 - 4707) + '\157' + chr(100) + chr(216 - 115))(chr(117) + chr(0b0 + 0o164) + chr(0b1100110) + chr(0b101101) + '\070')] = [Sz7tXxaCGqJ1[ehT0Px3KOsy9(chr(2268 - 2220) + chr(0b1101111) + chr(49), 8)][:-ehT0Px3KOsy9(chr(0b110000) + chr(3202 - 3091) + chr(0b100 + 0o55), 8)].strip()]
q3MSC6kMWYw6 = ehT0Px3KOsy9('\060' + chr(0b1011011 + 0o24) + chr(0b101001 + 0o10), 8)
Sz7tXxaCGqJ1 = LycYkDpyelF6.split()
LCuKxEO_w3tQ[xafqLlk3kkUe(SXOLrMavuUCe(b',\x9e"\xdf\x8bYw\xfa\xdcU'), chr(5870 - 5770) + '\x65' + chr(0b1010011 + 0o20) + chr(5822 - 5711) + '\x64' + '\x65')(chr(117) + chr(5807 - 5691) + chr(3788 - 3686) + chr(0b101101) + '\070')] = [Sz7tXxaCGqJ1[ehT0Px3KOsy9(chr(48) + chr(3708 - 3597) + chr(0b110000), 8)].strip()]
if xafqLlk3kkUe(SXOLrMavuUCe(b'+\x91!\xdf'), '\144' + chr(0b1100101) + chr(99) + '\x6f' + '\144' + chr(2018 - 1917))(chr(117) + chr(116) + chr(8033 - 7931) + chr(45) + chr(56)) not in LCuKxEO_w3tQ:
if q3MSC6kMWYw6:
LCuKxEO_w3tQ[xafqLlk3kkUe(SXOLrMavuUCe(b'+\x91!\xdf'), '\144' + chr(101) + '\143' + chr(0b11 + 0o154) + '\144' + chr(972 - 871))('\x75' + chr(12638 - 12522) + chr(102) + chr(580 - 535) + '\x38')] = [Sz7tXxaCGqJ1[ehT0Px3KOsy9('\x30' + chr(111) + '\x31', 8)].strip()]
else:
LCuKxEO_w3tQ[xafqLlk3kkUe(SXOLrMavuUCe(b'+\x91!\xdf'), '\144' + chr(0b11011 + 0o112) + chr(0b1100011) + chr(0b1101111) + chr(0b11101 + 0o107) + chr(0b1100101))('\x75' + chr(0b1011001 + 0o33) + chr(1711 - 1609) + chr(1985 - 1940) + chr(56))] = [Sz7tXxaCGqJ1[ehT0Px3KOsy9(chr(48) + chr(1149 - 1038) + chr(0b11000 + 0o31), 8)][:-ehT0Px3KOsy9(chr(0b110000) + chr(12310 - 12199) + '\x31', 8)].strip()]
xafqLlk3kkUe(hVIJHcSPNq4b[-ehT0Px3KOsy9('\x30' + chr(3244 - 3133) + chr(0b110001), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'$\x80<\xdf\x97b'), chr(8853 - 8753) + '\145' + '\143' + '\x6f' + chr(0b10001 + 0o123) + chr(3246 - 3145))(chr(0b1110101) + chr(337 - 221) + '\x66' + chr(1812 - 1767) + chr(56)))(LCuKxEO_w3tQ)
LCuKxEO_w3tQ = {}
return (w8H8C9ec5BO1, hVIJHcSPNq4b)
|
Microsoft/LightGBM
|
helpers/parameter_generator.py
|
get_names
|
def get_names(infos):
"""Get names of all parameters.
Parameters
----------
infos : list
Content of the config header file.
Returns
-------
names : list
Names of all parameters.
"""
names = []
for x in infos:
for y in x:
names.append(y["name"][0])
return names
|
python
|
def get_names(infos):
"""Get names of all parameters.
Parameters
----------
infos : list
Content of the config header file.
Returns
-------
names : list
Names of all parameters.
"""
names = []
for x in infos:
for y in x:
names.append(y["name"][0])
return names
|
[
"def",
"get_names",
"(",
"infos",
")",
":",
"names",
"=",
"[",
"]",
"for",
"x",
"in",
"infos",
":",
"for",
"y",
"in",
"x",
":",
"names",
".",
"append",
"(",
"y",
"[",
"\"name\"",
"]",
"[",
"0",
"]",
")",
"return",
"names"
] |
Get names of all parameters.
Parameters
----------
infos : list
Content of the config header file.
Returns
-------
names : list
Names of all parameters.
|
[
"Get",
"names",
"of",
"all",
"parameters",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/helpers/parameter_generator.py#L80-L97
|
train
|
Get names of all parameters.
|
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(0b11011 + 0o25) + chr(0b101100 + 0o103) + chr(871 - 821) + '\x36' + chr(0b110010), 14756 - 14748), ehT0Px3KOsy9('\x30' + chr(0b1001001 + 0o46) + '\x33' + chr(1269 - 1214) + chr(0b110010), 14029 - 14021), ehT0Px3KOsy9('\x30' + chr(6149 - 6038) + '\x36' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\x30' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + chr(0b110010) + '\x36' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(50) + chr(0b0 + 0o61), 59813 - 59805), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(8162 - 8051) + chr(49) + chr(0b110001) + chr(0b11011 + 0o32), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(52) + chr(0b101100 + 0o13), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100011 + 0o16) + chr(0b101110 + 0o10) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(978 - 929) + chr(50) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101111 + 0o100) + '\x33' + '\062' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b110101) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b101111 + 0o100) + chr(1245 - 1192) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010011 + 0o34) + chr(2109 - 2059) + '\x31' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + chr(0b100101 + 0o15) + '\x37' + chr(0b101111 + 0o5), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1111 + 0o140) + chr(1795 - 1746) + chr(50) + '\x32', 0o10), ehT0Px3KOsy9(chr(610 - 562) + chr(0b1101111) + chr(51) + chr(0b1011 + 0o50) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + chr(0b0 + 0o157) + '\067' + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b101111 + 0o6) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(1458 - 1410) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(2032 - 1984) + chr(111) + chr(49) + chr(0b100101 + 0o15) + chr(50), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(345 - 295) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8026 - 7915) + '\x33' + chr(823 - 772), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(51) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(10511 - 10400) + '\x32' + '\061' + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1 + 0o156) + chr(51) + chr(2102 - 2051) + '\x36', 8), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + '\061' + '\x33' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2529 - 2477) + chr(2298 - 2249), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b1101 + 0o51) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(589 - 540) + '\063', 53054 - 53046), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(804 - 753) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1001010 + 0o45) + '\x33' + '\x33' + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b110000) + chr(1547 - 1436) + '\061' + chr(1797 - 1742) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b11 + 0o154) + chr(933 - 882) + '\x30' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11101 + 0o24) + chr(0b10100 + 0o37) + chr(0b110101), 59199 - 59191), ehT0Px3KOsy9(chr(1091 - 1043) + chr(12247 - 12136) + chr(1864 - 1813) + chr(0b110010 + 0o5) + '\x32', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b110010) + chr(54), 16314 - 16306), ehT0Px3KOsy9('\x30' + chr(3305 - 3194) + '\061' + '\x30' + chr(77 - 27), 55129 - 55121), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(51) + chr(0b101001 + 0o14) + '\063', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(718 - 670) + chr(111) + chr(1801 - 1748) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c'), chr(100) + '\145' + chr(0b1100011) + '\x6f' + chr(100) + '\x65')(chr(117) + '\x74' + chr(5565 - 5463) + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def QAOYQOrfYIE2(IxpfLxpjkLkf):
OcnR1hZ7pGdr = []
for OeWW0F1dBPRQ in IxpfLxpjkLkf:
for SqiSOtYOqOJH in OeWW0F1dBPRQ:
xafqLlk3kkUe(OcnR1hZ7pGdr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\x8a@\xe0\xda\xb5'), chr(1197 - 1097) + chr(0b1100101) + '\x63' + chr(8123 - 8012) + chr(9873 - 9773) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(102) + '\x2d' + chr(2278 - 2222)))(SqiSOtYOqOJH[xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc\x9b]\xe0'), chr(0b1100100) + '\x65' + chr(0b100110 + 0o75) + '\x6f' + chr(3618 - 3518) + chr(0b1001 + 0o134))(chr(117) + chr(0b1101 + 0o147) + chr(102) + chr(45) + chr(56))][ehT0Px3KOsy9(chr(1642 - 1594) + chr(111) + '\x30', 42786 - 42778)])
return OcnR1hZ7pGdr
|
Microsoft/LightGBM
|
helpers/parameter_generator.py
|
get_alias
|
def get_alias(infos):
"""Get aliases of all parameters.
Parameters
----------
infos : list
Content of the config header file.
Returns
-------
pairs : list
List of tuples (param alias, param name).
"""
pairs = []
for x in infos:
for y in x:
if "alias" in y:
name = y["name"][0]
alias = y["alias"][0].split(',')
for name2 in alias:
pairs.append((name2.strip(), name))
return pairs
|
python
|
def get_alias(infos):
"""Get aliases of all parameters.
Parameters
----------
infos : list
Content of the config header file.
Returns
-------
pairs : list
List of tuples (param alias, param name).
"""
pairs = []
for x in infos:
for y in x:
if "alias" in y:
name = y["name"][0]
alias = y["alias"][0].split(',')
for name2 in alias:
pairs.append((name2.strip(), name))
return pairs
|
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":",
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"x",
":",
"if",
"\"alias\"",
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"y",
":",
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"y",
"[",
"\"name\"",
"]",
"[",
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"]",
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"y",
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"\"alias\"",
"]",
"[",
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"]",
".",
"split",
"(",
"','",
")",
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"name2",
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":",
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"(",
"(",
"name2",
".",
"strip",
"(",
")",
",",
"name",
")",
")",
"return",
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] |
Get aliases of all parameters.
Parameters
----------
infos : list
Content of the config header file.
Returns
-------
pairs : list
List of tuples (param alias, param name).
|
[
"Get",
"aliases",
"of",
"all",
"parameters",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/helpers/parameter_generator.py#L100-L121
|
train
|
Get aliases of all parameters.
|
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(51) + chr(0b110111) + chr(2984 - 2929), 53182 - 53174), ehT0Px3KOsy9('\x30' + chr(0b101111 + 0o100) + chr(51) + chr(0b1011 + 0o51) + chr(1179 - 1124), 48221 - 48213), ehT0Px3KOsy9('\060' + chr(111) + chr(443 - 392) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(306 - 256) + chr(0b110001) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101111 + 0o3) + '\x30' + chr(0b11100 + 0o31), 9572 - 9564), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b10 + 0o57) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b110011) + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(497 - 448) + chr(53), 0b1000), ehT0Px3KOsy9(chr(1700 - 1652) + chr(425 - 314) + chr(0b110000 + 0o1) + chr(0b0 + 0o63) + chr(0b1111 + 0o41), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100001 + 0o16) + chr(0b110010) + chr(232 - 177), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1110 + 0o46) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(2046 - 1997) + '\061' + chr(0b11110 + 0o27), 0b1000), ehT0Px3KOsy9('\x30' + chr(11050 - 10939) + chr(0b110011 + 0o0) + '\x34' + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(9423 - 9312) + '\061' + chr(51) + chr(916 - 863), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011 + 0o144) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100110 + 0o13) + '\x33', 61468 - 61460), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\x32' + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000101 + 0o52) + chr(0b10010 + 0o40) + chr(993 - 942) + chr(1669 - 1616), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + '\x32' + '\x32' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3558 - 3447) + chr(0b110011) + chr(54) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(635 - 587) + chr(0b1100100 + 0o13) + '\061' + chr(0b11011 + 0o31) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(53) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b110110) + chr(52), 14975 - 14967), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(7182 - 7071) + chr(0b110001) + '\x35' + chr(1897 - 1845), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + '\x34' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1100100 + 0o13) + '\x33' + '\067' + chr(52), 22516 - 22508), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11011 + 0o27) + chr(0b110011) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + chr(0b10111 + 0o32) + chr(2679 - 2627) + chr(58 - 10), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\066' + chr(1465 - 1414), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b101001 + 0o11) + chr(0b100 + 0o54), 34988 - 34980), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + '\x31', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b110011) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + '\x37' + chr(0b1001 + 0o47), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1528 - 1479) + '\067' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(1399 - 1351) + chr(0b111010 + 0o65) + '\x32' + chr(0b110001) + chr(2171 - 2119), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11000 + 0o127) + '\x33' + chr(0b11010 + 0o31) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5030 - 4919) + chr(1035 - 984) + chr(0b101110 + 0o10) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101001 + 0o106) + chr(51) + chr(54) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4436 - 4325) + chr(48), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101001 + 0o14) + '\x30', 37920 - 37912)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1'), '\x64' + '\x65' + chr(3090 - 2991) + '\157' + chr(100) + '\x65')(chr(117) + chr(0b110 + 0o156) + chr(102) + chr(0b0 + 0o55) + chr(963 - 907)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def a2ny4Tq4l3ik(IxpfLxpjkLkf):
JcPsqTZgKo43 = []
for OeWW0F1dBPRQ in IxpfLxpjkLkf:
for SqiSOtYOqOJH in OeWW0F1dBPRQ:
if xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\x8bp\xea\xf6'), chr(6701 - 6601) + chr(101) + chr(99) + '\157' + chr(0b1100100) + '\145')(chr(0b1110101) + chr(0b1110100) + '\146' + chr(45) + chr(56)) in SqiSOtYOqOJH:
AIvJRzLdDfgF = SqiSOtYOqOJH[xafqLlk3kkUe(SXOLrMavuUCe(b'\x91\x86t\xee'), chr(100) + chr(0b110100 + 0o61) + chr(2294 - 2195) + '\157' + chr(1129 - 1029) + '\x65')(chr(0b1110101) + chr(116) + '\x66' + '\055' + '\070')][ehT0Px3KOsy9('\x30' + '\x6f' + chr(1472 - 1424), 8)]
RJ1pgC_UBwkP = SqiSOtYOqOJH[xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\x8bp\xea\xf6'), chr(0b1100100) + '\x65' + '\143' + chr(111) + chr(100) + '\145')(chr(0b1110101) + '\164' + '\x66' + chr(995 - 950) + chr(0b111000))][ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110000), 8)].split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3'), '\144' + chr(2899 - 2798) + '\143' + chr(0b1000101 + 0o52) + '\x64' + chr(8546 - 8445))(chr(0b1000101 + 0o60) + chr(10220 - 10104) + chr(102) + '\055' + chr(2005 - 1949)))
for _OGh808ccTkS in RJ1pgC_UBwkP:
xafqLlk3kkUe(JcPsqTZgKo43, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\x97i\xee\xeb\xec'), '\144' + '\145' + chr(99) + chr(0b1101111) + chr(100) + '\x65')(chr(117) + chr(0b1101010 + 0o12) + '\x66' + '\x2d' + chr(0b110110 + 0o2)))((xafqLlk3kkUe(_OGh808ccTkS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\x93k\xe2\xf5'), chr(100) + chr(10148 - 10047) + chr(0b1011101 + 0o6) + '\157' + chr(100) + chr(101))(chr(0b10011 + 0o142) + '\164' + chr(8913 - 8811) + chr(0b10010 + 0o33) + '\070'))(), AIvJRzLdDfgF))
return JcPsqTZgKo43
|
Microsoft/LightGBM
|
helpers/parameter_generator.py
|
set_one_var_from_string
|
def set_one_var_from_string(name, param_type, checks):
"""Construct code for auto config file for one param value.
Parameters
----------
name : string
Name of the parameter.
param_type : string
Type of the parameter.
checks : list
Constraints of the parameter.
Returns
-------
ret : string
Lines of auto config file with getting and checks of one parameter value.
"""
ret = ""
univar_mapper = {"int": "GetInt", "double": "GetDouble", "bool": "GetBool", "std::string": "GetString"}
if "vector" not in param_type:
ret += " %s(params, \"%s\", &%s);\n" % (univar_mapper[param_type], name, name)
if len(checks) > 0:
for check in checks:
ret += " CHECK(%s %s);\n" % (name, check)
ret += "\n"
else:
ret += " if (GetString(params, \"%s\", &tmp_str)) {\n" % (name)
type2 = param_type.split("<")[1][:-1]
if type2 == "std::string":
ret += " %s = Common::Split(tmp_str.c_str(), ',');\n" % (name)
else:
ret += " %s = Common::StringToArray<%s>(tmp_str, ',');\n" % (name, type2)
ret += " }\n\n"
return ret
|
python
|
def set_one_var_from_string(name, param_type, checks):
"""Construct code for auto config file for one param value.
Parameters
----------
name : string
Name of the parameter.
param_type : string
Type of the parameter.
checks : list
Constraints of the parameter.
Returns
-------
ret : string
Lines of auto config file with getting and checks of one parameter value.
"""
ret = ""
univar_mapper = {"int": "GetInt", "double": "GetDouble", "bool": "GetBool", "std::string": "GetString"}
if "vector" not in param_type:
ret += " %s(params, \"%s\", &%s);\n" % (univar_mapper[param_type], name, name)
if len(checks) > 0:
for check in checks:
ret += " CHECK(%s %s);\n" % (name, check)
ret += "\n"
else:
ret += " if (GetString(params, \"%s\", &tmp_str)) {\n" % (name)
type2 = param_type.split("<")[1][:-1]
if type2 == "std::string":
ret += " %s = Common::Split(tmp_str.c_str(), ',');\n" % (name)
else:
ret += " %s = Common::StringToArray<%s>(tmp_str, ',');\n" % (name, type2)
ret += " }\n\n"
return ret
|
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] |
Construct code for auto config file for one param value.
Parameters
----------
name : string
Name of the parameter.
param_type : string
Type of the parameter.
checks : list
Constraints of the parameter.
Returns
-------
ret : string
Lines of auto config file with getting and checks of one parameter value.
|
[
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] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/helpers/parameter_generator.py#L124-L157
|
train
|
Construct code for auto config file for one parameter value.
|
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(1199 - 1151) + chr(111) + chr(49) + chr(51) + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110101 + 0o72) + '\063' + chr(2315 - 2262) + chr(109 - 61), 14448 - 14440), ehT0Px3KOsy9(chr(1936 - 1888) + chr(0b10001 + 0o136) + chr(385 - 336) + chr(48) + '\x35', 22132 - 22124), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(0b10001 + 0o44) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + '\061' + chr(0b10 + 0o56), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(799 - 749) + '\063' + chr(2567 - 2512), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(55) + chr(0b110001 + 0o0), 10026 - 10018), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + '\x31' + '\063', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\066' + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100000 + 0o17) + '\063' + chr(0b11000 + 0o36) + chr(0b10000 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + '\061' + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\063' + chr(0b100100 + 0o22), 33721 - 33713), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1907 - 1858) + '\x34' + chr(0b110001), 62134 - 62126), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(0b110011) + '\067' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(4061 - 3950) + chr(0b110101) + chr(0b100000 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\x36' + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(6886 - 6775) + '\x32' + chr(1100 - 1049) + chr(0b1011 + 0o46), 0o10), ehT0Px3KOsy9('\x30' + chr(9281 - 9170) + chr(454 - 403) + '\063' + '\x30', 20627 - 20619), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110111) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + chr(0b10111 + 0o34) + chr(1469 - 1419) + chr(771 - 717), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11110 + 0o23) + chr(48) + '\x32', 0b1000), ehT0Px3KOsy9(chr(1954 - 1906) + '\x6f' + chr(294 - 245) + chr(54) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(661 - 612) + chr(50) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(50) + chr(53) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(1237 - 1189) + chr(0b1101011 + 0o4) + chr(49) + chr(0b10100 + 0o36) + chr(854 - 801), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110100) + chr(0b1110 + 0o50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(50) + chr(53), 0b1000), ehT0Px3KOsy9(chr(339 - 291) + chr(0b1101111) + chr(0b110011) + chr(0b110111) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + '\x34' + chr(0b1110 + 0o47), 4519 - 4511), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(0b101101 + 0o6) + '\x32' + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(5214 - 5103) + '\x32' + '\x36' + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(458 - 410) + '\x32', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\067' + chr(814 - 764), 0o10), ehT0Px3KOsy9(chr(48) + chr(3678 - 3567) + chr(0b110010) + chr(338 - 290) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1010011 + 0o34) + '\063' + '\064' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(0b110011) + '\063' + chr(0b100110 + 0o15), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(1121 - 1071) + chr(0b101000 + 0o16), 48546 - 48538), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(365 - 312) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + '\x35' + chr(54), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + '\x37' + chr(53), 22866 - 22858)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(2662 - 2551) + chr(735 - 682) + chr(0b10110 + 0o32), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'w'), chr(0b1010011 + 0o21) + chr(0b1100101) + chr(0b110101 + 0o56) + '\157' + chr(100) + chr(7322 - 7221))('\165' + '\x74' + chr(0b1100110) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def a5KeSSsdJnWs(AIvJRzLdDfgF, LYEGMLiiZQHD, iLtSlXNVboft):
VHn4CV4Ymrei = xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(100) + chr(2889 - 2788) + chr(0b11 + 0o140) + chr(0b1100 + 0o143) + chr(100) + '\145')(chr(646 - 529) + '\164' + chr(0b111111 + 0o47) + chr(0b1010 + 0o43) + '\070')
dmyQyQfky27S = {xafqLlk3kkUe(SXOLrMavuUCe(b'0\x861'), chr(0b101100 + 0o70) + '\145' + chr(0b1100011) + chr(0b1101111) + '\x64' + '\x65')('\165' + chr(13436 - 13320) + '\146' + chr(45) + '\x38'): xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\x8d1\xe1\xa6\xeb'), chr(0b1011011 + 0o11) + '\x65' + '\143' + '\x6f' + chr(0b10010 + 0o122) + '\x65')(chr(0b1000101 + 0o60) + chr(0b100100 + 0o120) + chr(102) + chr(0b101101) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'=\x870\xca\xa4\xfa'), '\x64' + '\145' + chr(99) + chr(4993 - 4882) + chr(0b1100100) + '\145')(chr(0b110100 + 0o101) + chr(0b1110100) + '\x66' + chr(0b10101 + 0o30) + '\x38'): xafqLlk3kkUe(SXOLrMavuUCe(b"\x1e\x8d1\xec\xa7\xea\xdb'Q"), '\x64' + chr(0b1100101) + '\x63' + chr(0b1000 + 0o147) + chr(914 - 814) + '\145')(chr(0b1011001 + 0o34) + chr(8094 - 7978) + '\146' + '\x2d' + chr(3112 - 3056)), xafqLlk3kkUe(SXOLrMavuUCe(b';\x87*\xc4'), chr(0b1100100) + chr(101) + chr(99) + '\x6f' + chr(0b1011011 + 0o11) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(1266 - 1221) + chr(56)): xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\x8d1\xea\xa7\xf0\xd5'), chr(0b1010011 + 0o21) + chr(0b11011 + 0o112) + '\x63' + chr(2225 - 2114) + chr(100) + chr(0b1100101))(chr(0b111001 + 0o74) + chr(0b1011110 + 0o26) + '\146' + chr(213 - 168) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'*\x9c!\x92\xf2\xec\xcd9]\x9dh'), '\144' + chr(0b111000 + 0o55) + chr(0b1100011) + chr(0b1100 + 0o143) + chr(0b1100100) + chr(0b1100101))('\165' + chr(9051 - 8935) + '\x66' + '\x2d' + chr(0b111000)): xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\x8d1\xfb\xbc\xed\xd0%S'), '\144' + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b100110 + 0o77))('\x75' + chr(0b1110100) + chr(8440 - 8338) + '\055' + '\070')}
if xafqLlk3kkUe(SXOLrMavuUCe(b'/\x8d&\xdc\xa7\xed'), chr(0b1100100) + chr(0b1100101) + chr(0b101111 + 0o64) + '\x6f' + chr(100) + chr(6111 - 6010))(chr(117) + chr(116) + chr(0b100010 + 0o104) + '\055' + chr(56)) not in LYEGMLiiZQHD:
VHn4CV4Ymrei += xafqLlk3kkUe(SXOLrMavuUCe(b'y\xc8`\xdb\xe0\xef\xd89U\x9e|\xb2A\xd9\n\xc7\xbb\xf4\x1f\xf0g\x01z\x90_'), '\144' + '\145' + chr(99) + chr(9005 - 8894) + chr(0b1100100) + chr(3704 - 3603))('\x75' + '\x74' + '\146' + chr(45) + chr(56)) % (dmyQyQfky27S[LYEGMLiiZQHD], AIvJRzLdDfgF, AIvJRzLdDfgF)
if c2A0yzQpDQB3(iLtSlXNVboft) > ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1011100 + 0o23) + chr(48), ord("\x08")):
for nFD5oT4Ev_ni in iLtSlXNVboft:
VHn4CV4Ymrei += xafqLlk3kkUe(SXOLrMavuUCe(b'y\xc8\x06\xe0\x8d\xdc\xf2c\x11\x80/\xbb\x12\xd2\x14\xbe'), chr(100) + '\145' + chr(0b1000111 + 0o34) + chr(0b1100 + 0o143) + chr(8892 - 8792) + chr(0b1100101))(chr(0b110001 + 0o104) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(56)) % (AIvJRzLdDfgF, nFD5oT4Ev_ni)
VHn4CV4Ymrei += xafqLlk3kkUe(SXOLrMavuUCe(b'S'), chr(0b1100100) + chr(101) + chr(3546 - 3447) + chr(0b111111 + 0o60) + '\x64' + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(763 - 661) + '\x2d' + '\x38')
else:
VHn4CV4Ymrei += xafqLlk3kkUe(SXOLrMavuUCe(b'y\xc8,\xce\xe8\xb7\xfe.@\xa0{\xec\x08\x95H\x9c\xe9\xb9M\xb7/\x01\x7f\x8bw\x03\xe6\xdd\t\xf5\x91\xb6\x97\xf5\xb8\xa8\xe2\xdb\x07\xd4y\x93O'), '\x64' + chr(101) + chr(0b1000111 + 0o34) + '\157' + chr(0b1100100) + '\x65')(chr(117) + chr(157 - 41) + '\x66' + chr(0b10001 + 0o34) + chr(3084 - 3028)) % AIvJRzLdDfgF
YXlizGK0cUbm = LYEGMLiiZQHD.split(xafqLlk3kkUe(SXOLrMavuUCe(b'e'), chr(100) + chr(0b10101 + 0o120) + chr(0b1000110 + 0o35) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(13112 - 12995) + chr(7914 - 7798) + '\x66' + chr(45) + chr(0b0 + 0o70)))[ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31', ord("\x08"))][:-ehT0Px3KOsy9(chr(48) + chr(0b1101110 + 0o1) + '\x31', 8)]
if YXlizGK0cUbm == xafqLlk3kkUe(SXOLrMavuUCe(b'*\x9c!\x92\xf2\xec\xcd9]\x9dh'), chr(3662 - 3562) + '\145' + chr(6834 - 6735) + chr(8207 - 8096) + '\144' + chr(4283 - 4182))(chr(9275 - 9158) + chr(0b1110100) + '\146' + '\x2d' + chr(2549 - 2493)):
VHn4CV4Ymrei += xafqLlk3kkUe(SXOLrMavuUCe(b'y\xc8e\x88\xed\xec\x99v\x14\xb0`\xf3\x0c\x94A\x8e\xa3\x8bO\xba+\x06{\xdf8V\xca\x8cQ\xa7\x99\xa1\xa5\xf6\x93\xa9\xbe\x80\x02\xdd~\xc4b\x81\xf3\x95'), '\x64' + chr(101) + chr(99) + chr(954 - 843) + chr(100) + chr(101))(chr(0b100 + 0o161) + '\x74' + '\146' + '\x2d' + '\070') % AIvJRzLdDfgF
else:
VHn4CV4Ymrei += xafqLlk3kkUe(SXOLrMavuUCe(b'y\xc8e\x88\xed\xec\x99v\x14\xb0`\xf3\x0c\x94A\x8e\xa3\x8bK\xa4+\x1c4\xff:g\xe7\x8dD\xac\x8b\xe7\x89\xbb\xcf\xaf\xfb\xd9q\x8e-\x9ai\x88\xef\xb3\x9eb\x0f\xf9'), '\144' + chr(2803 - 2702) + chr(0b1001011 + 0o30) + '\x6f' + chr(0b100 + 0o140) + chr(0b1100101))(chr(1437 - 1320) + chr(0b1110100) + chr(0b1100110) + chr(0b1110 + 0o37) + chr(0b1010 + 0o56)) % (AIvJRzLdDfgF, YXlizGK0cUbm)
VHn4CV4Ymrei += xafqLlk3kkUe(SXOLrMavuUCe(b'y\xc88\xa2\xc2'), '\144' + chr(0b1100101) + '\143' + '\157' + chr(100) + chr(0b1000000 + 0o45))('\165' + chr(8997 - 8881) + '\146' + chr(1782 - 1737) + '\070')
return VHn4CV4Ymrei
|
Microsoft/LightGBM
|
helpers/parameter_generator.py
|
gen_parameter_description
|
def gen_parameter_description(sections, descriptions, params_rst):
"""Write descriptions of parameters to the documentation file.
Parameters
----------
sections : list
Names of parameters sections.
descriptions : list
Structured descriptions of parameters.
params_rst : string
Path to the file with parameters documentation.
"""
def parse_check(check, reverse=False):
"""Parse the constraint.
Parameters
----------
check : string
String representation of the constraint.
reverse : bool, optional (default=False)
Whether to reverse the sign of the constraint.
Returns
-------
pair : tuple
Parsed constraint in the form of tuple (value, sign).
"""
try:
idx = 1
float(check[idx:])
except ValueError:
idx = 2
float(check[idx:])
if reverse:
reversed_sign = {'<': '>', '>': '<', '<=': '>=', '>=': '<='}
return check[idx:], reversed_sign[check[:idx]]
else:
return check[idx:], check[:idx]
params_to_write = []
for section_name, section_params in zip(sections, descriptions):
params_to_write.append('{0}\n{1}'.format(section_name, '-' * len(section_name)))
for param_desc in section_params:
name = param_desc['name'][0]
default_raw = param_desc['default'][0]
default = default_raw.strip('"') if len(default_raw.strip('"')) > 0 else default_raw
param_type = param_desc.get('type', param_desc['inner_type'])[0].split(':')[-1].split('<')[-1].strip('>')
options = param_desc.get('options', [])
if len(options) > 0:
options_str = ', options: ``{0}``'.format('``, ``'.join([x.strip() for x in options[0].split(',')]))
else:
options_str = ''
aliases = param_desc.get('alias', [])
if len(aliases) > 0:
aliases_str = ', aliases: ``{0}``'.format('``, ``'.join([x.strip() for x in aliases[0].split(',')]))
else:
aliases_str = ''
checks = sorted(param_desc.get('check', []))
checks_len = len(checks)
if checks_len > 1:
number1, sign1 = parse_check(checks[0])
number2, sign2 = parse_check(checks[1], reverse=True)
checks_str = ', constraints: ``{0} {1} {2} {3} {4}``'.format(number2, sign2, name, sign1, number1)
elif checks_len == 1:
number, sign = parse_check(checks[0])
checks_str = ', constraints: ``{0} {1} {2}``'.format(name, sign, number)
else:
checks_str = ''
main_desc = '- ``{0}`` :raw-html:`<a id="{0}" title="Permalink to this parameter" href="#{0}">🔗︎</a>`, default = ``{1}``, type = {2}{3}{4}{5}'.format(name, default, param_type, options_str, aliases_str, checks_str)
params_to_write.append(main_desc)
params_to_write.extend([' ' * 3 * int(desc[0][-1]) + '- ' + desc[1] for desc in param_desc['desc']])
with open(params_rst) as original_params_file:
all_lines = original_params_file.read()
before, start_sep, _ = all_lines.partition('.. start params list\n\n')
_, end_sep, after = all_lines.partition('\n\n.. end params list')
with open(params_rst, "w") as new_params_file:
new_params_file.write(before)
new_params_file.write(start_sep)
new_params_file.write('\n\n'.join(params_to_write))
new_params_file.write(end_sep)
new_params_file.write(after)
|
python
|
def gen_parameter_description(sections, descriptions, params_rst):
"""Write descriptions of parameters to the documentation file.
Parameters
----------
sections : list
Names of parameters sections.
descriptions : list
Structured descriptions of parameters.
params_rst : string
Path to the file with parameters documentation.
"""
def parse_check(check, reverse=False):
"""Parse the constraint.
Parameters
----------
check : string
String representation of the constraint.
reverse : bool, optional (default=False)
Whether to reverse the sign of the constraint.
Returns
-------
pair : tuple
Parsed constraint in the form of tuple (value, sign).
"""
try:
idx = 1
float(check[idx:])
except ValueError:
idx = 2
float(check[idx:])
if reverse:
reversed_sign = {'<': '>', '>': '<', '<=': '>=', '>=': '<='}
return check[idx:], reversed_sign[check[:idx]]
else:
return check[idx:], check[:idx]
params_to_write = []
for section_name, section_params in zip(sections, descriptions):
params_to_write.append('{0}\n{1}'.format(section_name, '-' * len(section_name)))
for param_desc in section_params:
name = param_desc['name'][0]
default_raw = param_desc['default'][0]
default = default_raw.strip('"') if len(default_raw.strip('"')) > 0 else default_raw
param_type = param_desc.get('type', param_desc['inner_type'])[0].split(':')[-1].split('<')[-1].strip('>')
options = param_desc.get('options', [])
if len(options) > 0:
options_str = ', options: ``{0}``'.format('``, ``'.join([x.strip() for x in options[0].split(',')]))
else:
options_str = ''
aliases = param_desc.get('alias', [])
if len(aliases) > 0:
aliases_str = ', aliases: ``{0}``'.format('``, ``'.join([x.strip() for x in aliases[0].split(',')]))
else:
aliases_str = ''
checks = sorted(param_desc.get('check', []))
checks_len = len(checks)
if checks_len > 1:
number1, sign1 = parse_check(checks[0])
number2, sign2 = parse_check(checks[1], reverse=True)
checks_str = ', constraints: ``{0} {1} {2} {3} {4}``'.format(number2, sign2, name, sign1, number1)
elif checks_len == 1:
number, sign = parse_check(checks[0])
checks_str = ', constraints: ``{0} {1} {2}``'.format(name, sign, number)
else:
checks_str = ''
main_desc = '- ``{0}`` :raw-html:`<a id="{0}" title="Permalink to this parameter" href="#{0}">🔗︎</a>`, default = ``{1}``, type = {2}{3}{4}{5}'.format(name, default, param_type, options_str, aliases_str, checks_str)
params_to_write.append(main_desc)
params_to_write.extend([' ' * 3 * int(desc[0][-1]) + '- ' + desc[1] for desc in param_desc['desc']])
with open(params_rst) as original_params_file:
all_lines = original_params_file.read()
before, start_sep, _ = all_lines.partition('.. start params list\n\n')
_, end_sep, after = all_lines.partition('\n\n.. end params list')
with open(params_rst, "w") as new_params_file:
new_params_file.write(before)
new_params_file.write(start_sep)
new_params_file.write('\n\n'.join(params_to_write))
new_params_file.write(end_sep)
new_params_file.write(after)
|
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] |
Write descriptions of parameters to the documentation file.
Parameters
----------
sections : list
Names of parameters sections.
descriptions : list
Structured descriptions of parameters.
params_rst : string
Path to the file with parameters documentation.
|
[
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"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/helpers/parameter_generator.py#L160-L242
|
train
|
Generates a description of the parameters in the specified sections and descriptions.
|
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) + chr(111) + chr(51) + chr(558 - 507) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(3738 - 3627) + chr(1541 - 1490) + '\x35' + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10101 + 0o34) + chr(0b110101) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\x37' + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(0b110100 + 0o1) + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(3081 - 2970) + chr(0b110011) + '\067', 13833 - 13825), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(0b11000 + 0o36) + chr(52), 0b1000), ehT0Px3KOsy9(chr(250 - 202) + chr(111) + chr(51) + chr(0b110011) + chr(0b101 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + chr(0b111 + 0o52) + chr(0b11000 + 0o35) + chr(2056 - 2003), 27830 - 27822), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1048 - 997) + '\x37' + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b100 + 0o56) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(715 - 604) + chr(55) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110101) + chr(0b110001), 40918 - 40910), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + '\062' + '\064' + chr(0b10110 + 0o35), 47527 - 47519), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(2673 - 2618) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1539 - 1488) + chr(48) + chr(2192 - 2140), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\067' + chr(0b110111), 4442 - 4434), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11100 + 0o26) + chr(0b100011 + 0o17) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\060' + chr(53), 21809 - 21801), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + '\x31' + chr(0b110001) + chr(0b101000 + 0o14), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(48) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\x31' + '\x31', 47580 - 47572), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(0b110010) + chr(50) + chr(0b11 + 0o63), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\x30' + chr(0b110010 + 0o0), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b11010 + 0o125) + chr(51) + '\x31' + chr(661 - 607), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100100 + 0o15) + '\x36' + chr(0b1000 + 0o55), 8060 - 8052), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b100100 + 0o23) + chr(0b110001 + 0o6), 0b1000), ehT0Px3KOsy9('\060' + chr(2472 - 2361) + chr(52) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\065' + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100110 + 0o11) + chr(0b110010) + chr(760 - 709) + chr(1333 - 1284), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\x31' + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1011 + 0o47) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(930 - 876) + chr(0b10 + 0o56), 34514 - 34506), ehT0Px3KOsy9(chr(0b110000) + chr(5061 - 4950) + '\061' + chr(0b110000) + chr(239 - 188), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + '\064' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\066' + chr(2007 - 1956), 12428 - 12420), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1101 + 0o46), 17852 - 17844), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + chr(0b1101 + 0o44), 61571 - 61563), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2055 - 2005) + chr(0b1000 + 0o55) + chr(55), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(53) + chr(0b11 + 0o55), 42425 - 42417)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6'), '\144' + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b1001111 + 0o25) + chr(101))(chr(0b11011 + 0o132) + chr(0b1110100) + '\146' + chr(1441 - 1396) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def l_W0huh7YBah(osRv5CFR3cO5, R_QebMzWqdMl, X0N3lR1QnSEO):
def yDXreA8vptUu(nFD5oT4Ev_ni, jPHyoIWAxyI_=ehT0Px3KOsy9('\x30' + '\x6f' + chr(48), 8)):
try:
YlqusYB6InkM = ehT0Px3KOsy9('\x30' + '\157' + '\x31', 8)
kkSX4ccExqw4(nFD5oT4Ev_ni[YlqusYB6InkM:])
except q1QCh3W88sgk:
YlqusYB6InkM = ehT0Px3KOsy9(chr(48) + chr(111) + chr(50), ord("\x08"))
kkSX4ccExqw4(nFD5oT4Ev_ni[YlqusYB6InkM:])
if jPHyoIWAxyI_:
VPQNo7dXS_gl = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4'), chr(0b1100100) + '\145' + '\143' + chr(0b1010011 + 0o34) + chr(2830 - 2730) + '\x65')(chr(11394 - 11277) + chr(0b100000 + 0o124) + chr(0b1100100 + 0o2) + chr(104 - 59) + chr(0b101000 + 0o20)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6'), '\144' + chr(0b1100101) + chr(1660 - 1561) + chr(111) + '\x64' + '\145')(chr(0b1000110 + 0o57) + chr(0b101111 + 0o105) + chr(102) + chr(0b1001 + 0o44) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6'), chr(0b1100100) + chr(0b1010100 + 0o21) + chr(0b10100 + 0o117) + '\157' + chr(0b1100100) + '\145')('\165' + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + '\070'): xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4'), '\x64' + chr(0b1100101) + '\x63' + '\x6f' + chr(0b101100 + 0o70) + '\145')(chr(0b1110101) + chr(0b1001111 + 0o45) + chr(8222 - 8120) + '\x2d' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xd1'), chr(4011 - 3911) + chr(714 - 613) + '\x63' + chr(111) + '\x64' + '\145')(chr(0b1101000 + 0o15) + chr(0b1110100) + '\x66' + '\055' + '\x38'): xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\xd1'), chr(0b1100000 + 0o4) + '\145' + '\x63' + chr(11866 - 11755) + chr(100) + '\x65')(chr(0b1110101) + chr(12117 - 12001) + chr(102) + chr(0b101101) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\xd1'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(111) + chr(624 - 524) + chr(9634 - 9533))(chr(0b1110101) + chr(116) + '\146' + '\055' + chr(0b111000)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xd1'), chr(4988 - 4888) + chr(0b1001101 + 0o30) + '\143' + '\157' + chr(0b1100100) + '\145')(chr(12765 - 12648) + chr(0b11100 + 0o130) + '\146' + chr(45) + '\x38')}
return (nFD5oT4Ev_ni[YlqusYB6InkM:], VPQNo7dXS_gl[nFD5oT4Ev_ni[:YlqusYB6InkM]])
else:
return (nFD5oT4Ev_ni[YlqusYB6InkM:], nFD5oT4Ev_ni[:YlqusYB6InkM])
LRSEFb59NFZv = []
for (Rt5ZjB55orI0, FmMLDdNLlrqz) in pZ0NK2y6HRbn(osRv5CFR3cO5, R_QebMzWqdMl):
xafqLlk3kkUe(LRSEFb59NFZv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\x9c\x1f\x19\xc7{'), '\x64' + chr(0b1100101) + chr(0b1100 + 0o127) + chr(111) + chr(0b1000001 + 0o43) + '\145')('\165' + '\x74' + '\146' + chr(0b101101) + chr(0b100000 + 0o30)))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3\xdc\x12v\xd2.\x89'), chr(5774 - 5674) + '\145' + '\x63' + chr(111) + chr(0b1100000 + 0o4) + '\145')(chr(4331 - 4214) + chr(116) + '\x66' + chr(0b100011 + 0o12) + chr(1411 - 1355)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\xd8\x1d\x13\xe1~\xa7\xea=\x8f\xf2T'), '\144' + chr(101) + '\143' + chr(4881 - 4770) + '\x64' + chr(0b1001000 + 0o35))(chr(117) + '\x74' + chr(0b1010001 + 0o25) + chr(0b0 + 0o55) + chr(0b111000)))(Rt5ZjB55orI0, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5'), chr(0b110000 + 0o64) + chr(0b11011 + 0o112) + '\143' + chr(0b1101111) + chr(100) + chr(9033 - 8932))(chr(8176 - 8059) + '\164' + chr(102) + chr(0b101101) + chr(0b101001 + 0o17)) * c2A0yzQpDQB3(Rt5ZjB55orI0)))
for XF_RdkJ00RDA in FmMLDdNLlrqz:
AIvJRzLdDfgF = XF_RdkJ00RDA[xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6\x8d\x02\x19'), chr(0b100111 + 0o75) + chr(0b1100101) + chr(99) + '\157' + chr(0b1100100) + '\x65')(chr(1568 - 1451) + chr(116) + chr(0b100010 + 0o104) + chr(45) + '\070')][ehT0Px3KOsy9('\060' + chr(3043 - 2932) + '\x30', 8)]
IEqTG2BVo5I0 = XF_RdkJ00RDA[xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x89\t\x1d\xdcs\x80'), '\144' + '\x65' + '\x63' + '\x6f' + chr(0b1001001 + 0o33) + chr(8960 - 8859))(chr(0b1110101) + chr(0b1010001 + 0o43) + chr(7974 - 7872) + chr(0b101101) + chr(56))][ehT0Px3KOsy9(chr(1546 - 1498) + chr(8783 - 8672) + chr(0b11000 + 0o30), 8)]
t1v7afVhe01t = IEqTG2BVo5I0.strip(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa'), chr(100) + chr(0b101110 + 0o67) + '\x63' + chr(111) + chr(0b1000100 + 0o40) + chr(0b111010 + 0o53))(chr(10681 - 10564) + chr(0b1000001 + 0o63) + '\146' + '\055' + '\070')) if c2A0yzQpDQB3(IEqTG2BVo5I0.strip(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa'), chr(2538 - 2438) + chr(2627 - 2526) + '\x63' + chr(0b11011 + 0o124) + chr(100) + chr(101))('\165' + chr(116) + chr(0b1001000 + 0o36) + chr(0b101101) + chr(0b111000)))) > ehT0Px3KOsy9(chr(48) + chr(5732 - 5621) + chr(0b110000), 8) else IEqTG2BVo5I0
LYEGMLiiZQHD = XF_RdkJ00RDA.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xac\x95\x1f\x19'), chr(100) + chr(0b1100101) + chr(7689 - 7590) + chr(111) + '\x64' + chr(1812 - 1711))(chr(0b1110101) + '\164' + '\146' + chr(0b101101) + chr(0b111 + 0o61)), XF_RdkJ00RDA[xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\x82\x01\x19\xdb@\x80\xa0\x1d\x9a'), chr(100) + '\145' + chr(3756 - 3657) + chr(111) + chr(4876 - 4776) + chr(101))('\x75' + chr(0b1110100) + '\x66' + chr(0b100011 + 0o12) + chr(0b10101 + 0o43))])[ehT0Px3KOsy9('\060' + '\157' + chr(0b11110 + 0o22), 8)].split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2'), '\x64' + chr(5229 - 5128) + chr(1254 - 1155) + '\157' + chr(0b1100100) + '\145')(chr(5867 - 5750) + chr(0b1010010 + 0o42) + chr(4594 - 4492) + chr(0b101101) + '\070'))[-ehT0Px3KOsy9(chr(48) + '\157' + '\061', 8)].split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4'), '\144' + '\145' + chr(9425 - 9326) + chr(111) + chr(0b1100 + 0o130) + chr(0b1100101))(chr(5230 - 5113) + chr(5733 - 5617) + chr(4893 - 4791) + '\055' + chr(3073 - 3017)))[-ehT0Px3KOsy9('\x30' + chr(111) + '\x31', 8)].strip(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6'), chr(100) + chr(101) + '\x63' + chr(111) + chr(0b1100100) + chr(0b1010000 + 0o25))('\165' + chr(0b1110100) + '\x66' + chr(0b100110 + 0o7) + '\x38'))
vvlcdVOK7clu = XF_RdkJ00RDA.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\x9c\x1b\x15\xc6q\x87'), chr(0b1000000 + 0o44) + chr(0b11 + 0o142) + chr(0b101101 + 0o66) + '\x6f' + '\144' + chr(3193 - 3092))(chr(0b1000110 + 0o57) + chr(0b1110010 + 0o2) + chr(0b1100110) + chr(1131 - 1086) + chr(2849 - 2793)), [])
if c2A0yzQpDQB3(vvlcdVOK7clu) > ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110000), 8):
sXVm8y_JOk3d = xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xcc\x00\x0c\xddv\x9b\xb7\x1e\xc5\xb7^\t\xd8\x8a\xb9\x1f\xf4'), chr(3991 - 3891) + chr(0b100101 + 0o100) + '\x63' + chr(0b111010 + 0o65) + chr(0b1100100) + '\x65')(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(355 - 310) + chr(0b1100 + 0o54)).V4roHaS3Ppej(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\x8cC\\\xc9\x7f'), chr(0b1001001 + 0o33) + chr(0b1000000 + 0o45) + chr(99) + chr(111) + '\144' + chr(0b1100101 + 0o0))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(45) + '\x38').join([OeWW0F1dBPRQ.strip() for OeWW0F1dBPRQ in vvlcdVOK7clu[ehT0Px3KOsy9('\060' + chr(0b100011 + 0o114) + chr(2291 - 2243), 8)].split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4'), chr(100) + '\x65' + '\x63' + '\157' + chr(100) + chr(0b1 + 0o144))('\x75' + chr(0b1110100) + '\146' + '\x2d' + chr(0b111000)))]))
else:
sXVm8y_JOk3d = xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b1100100) + chr(0b1011011 + 0o12) + '\143' + '\157' + '\144' + chr(5636 - 5535))(chr(0b1110101) + chr(4700 - 4584) + chr(0b10111 + 0o117) + '\055' + chr(443 - 387))
dKAGWf_Zcld5 = XF_RdkJ00RDA.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\x80\x06\x1d\xda'), chr(5238 - 5138) + chr(0b1100011 + 0o2) + chr(0b10 + 0o141) + chr(111) + chr(100) + chr(4886 - 4785))(chr(117) + chr(0b1110100) + '\146' + chr(0b11110 + 0o17) + '\x38'), [])
if c2A0yzQpDQB3(dKAGWf_Zcld5) > ehT0Px3KOsy9(chr(1650 - 1602) + chr(0b1101111) + chr(0b10010 + 0o36), 8):
Y4Sw5dxKRoXK = xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xcc\x0e\x10\xc0~\x87\xbc\x1e\xc5\xb7^\t\xd8\x8a\xb9\x1f\xf4'), chr(100) + '\145' + chr(0b110010 + 0o61) + chr(8187 - 8076) + chr(0b1100100) + '\145')(chr(117) + '\x74' + chr(7143 - 7041) + chr(45) + '\x38').V4roHaS3Ppej(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\x8cC\\\xc9\x7f'), chr(0b1100100) + chr(0b1100101) + chr(0b10110 + 0o115) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(117) + '\164' + chr(0b1001000 + 0o36) + '\x2d' + chr(0b111000)).join([OeWW0F1dBPRQ.strip() for OeWW0F1dBPRQ in dKAGWf_Zcld5[ehT0Px3KOsy9(chr(48) + chr(3560 - 3449) + chr(0b110000), 8)].split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4'), chr(0b1010 + 0o132) + '\x65' + '\x63' + chr(0b1101111) + chr(100) + chr(0b100010 + 0o103))('\x75' + '\164' + '\146' + '\x2d' + '\x38'))]))
else:
Y4Sw5dxKRoXK = xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(8636 - 8536) + '\x65' + '\x63' + chr(111) + '\144' + '\x65')(chr(5673 - 5556) + chr(116) + chr(0b1000101 + 0o41) + '\055' + chr(0b111000))
iLtSlXNVboft = vUlqIvNSaRMa(XF_RdkJ00RDA.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\x84\n\x1f\xc2'), '\x64' + chr(8990 - 8889) + chr(99) + chr(5984 - 5873) + chr(100) + '\145')(chr(0b1110101) + '\x74' + '\146' + chr(0b101101) + chr(0b100010 + 0o26)), []))
oLzTiVsEhLws = c2A0yzQpDQB3(iLtSlXNVboft)
if oLzTiVsEhLws > ehT0Px3KOsy9('\060' + chr(111) + chr(689 - 640), 8):
(jyltVQ_g0iGH, sWz6t6Gkl67w) = yDXreA8vptUu(iLtSlXNVboft[ehT0Px3KOsy9('\x30' + chr(7471 - 7360) + '\060', 8)])
(zPCsji5DpeGh, EAMMorK1d_x1) = yDXreA8vptUu(iLtSlXNVboft[ehT0Px3KOsy9('\060' + chr(0b11100 + 0o123) + '\x31', 8)], reverse=ehT0Px3KOsy9('\060' + chr(0b1011100 + 0o23) + '\x31', 8))
lWLYnD4wf_MX = xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xcc\x0c\x13\xc7l\x80\xab\x0c\x96\xf9J\x1a\x99\x9a\xa4\x1f\xef\xb51\xe52\xa7\xff\xee\x0e\x8d]\x88\xe2\xbdh\xd084\xda\xd3c'), chr(100) + chr(282 - 181) + chr(0b11110 + 0o105) + '\x6f' + chr(0b11000 + 0o114) + chr(0b1001010 + 0o33))('\165' + '\x74' + chr(102) + chr(0b101101) + chr(0b100111 + 0o21)).V4roHaS3Ppej(zPCsji5DpeGh, EAMMorK1d_x1, AIvJRzLdDfgF, sWz6t6Gkl67w, jyltVQ_g0iGH)
elif oLzTiVsEhLws == ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1670 - 1621), 8):
(FysMinsEouc1, b_TdHyHDb04N) = yDXreA8vptUu(iLtSlXNVboft[ehT0Px3KOsy9(chr(1003 - 955) + '\x6f' + chr(500 - 452), 8)])
lWLYnD4wf_MX = xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xcc\x0c\x13\xc7l\x80\xab\x0c\x96\xf9J\x1a\x99\x9a\xa4\x1f\xef\xb51\xe52\xa7\xff\xee\x0e\x8d]\xc8\xf9'), '\144' + chr(4068 - 3967) + chr(0b1000100 + 0o37) + chr(0b101111 + 0o100) + chr(0b1000000 + 0o44) + '\x65')(chr(0b1011100 + 0o31) + chr(0b10111 + 0o135) + '\x66' + chr(0b111 + 0o46) + chr(0b1101 + 0o53)).V4roHaS3Ppej(AIvJRzLdDfgF, b_TdHyHDb04N, FysMinsEouc1)
else:
lWLYnD4wf_MX = xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(188 - 88) + chr(0b1100101) + chr(99) + chr(0b1101 + 0o142) + chr(0b1100100) + '\145')(chr(0b100 + 0o161) + '\x74' + chr(7383 - 7281) + '\x2d' + '\070')
U2bjQLmJHGjK = xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\xccO\x1c\xc9d\xc4\xa4\r\x9f\xb7\x04\x1b\xc2\xcd\xe9\x17\xe0\xe8 \xff)\xaa\xe3\xee\x1c\xdb\x1d\x8a\xe2\xbeh\xd2ct\xce\xc7od\x92\xfa\xbc\n\x0e\xc4~\x98\xb0\x03\x94\xb7J\x06\x83\xce\xac\x16\xe7\xa5<\xa4;\xf7\xef\xab\x01\xdaR\x8a\xb9\xe6g\x95%=\x85\x90x1\xd2\xfa\xd2I_\xd1.\xb2\xec\\\xc8\xac\x18J\xdb\xfc\x81O\xd1\xbep\xea(\xa8\xe2\xe2U\xdbE\xce\xf8\xfby\x84c=\x87\xd3cz\x9e\xa5\x8c\x0fP\x89k\x8d\xa9\x08\xdf\xaa\x1e\x12\x91\xc7\xbfL\xe9\xfex\xb82\xa3\xff'), chr(100) + '\x65' + '\x63' + chr(0b1101111) + chr(0b1100100 + 0o0) + '\145')(chr(0b11100 + 0o131) + chr(0b1110100) + chr(0b101010 + 0o74) + '\055' + '\x38').V4roHaS3Ppej(AIvJRzLdDfgF, t1v7afVhe01t, LYEGMLiiZQHD, sXVm8y_JOk3d, Y4Sw5dxKRoXK, lWLYnD4wf_MX)
xafqLlk3kkUe(LRSEFb59NFZv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\x9c\x1f\x19\xc7{'), chr(100) + chr(0b101111 + 0o66) + '\x63' + chr(111) + chr(0b1010000 + 0o24) + '\145')(chr(13198 - 13081) + chr(10065 - 9949) + chr(0b1100110) + chr(0b101011 + 0o2) + chr(0b101111 + 0o11)))(U2bjQLmJHGjK)
xafqLlk3kkUe(LRSEFb59NFZv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\x94\x1b\x19\xc7{'), chr(100) + '\145' + chr(0b10010 + 0o121) + chr(111) + chr(2353 - 2253) + chr(101))('\165' + chr(3327 - 3211) + chr(0b1100110) + chr(1623 - 1578) + '\070'))([xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8'), chr(100) + '\145' + chr(0b101000 + 0o73) + '\x6f' + '\x64' + chr(0b101010 + 0o73))('\165' + '\x74' + chr(0b1100110) + chr(0b101101) + chr(0b111000)) * ehT0Px3KOsy9(chr(1478 - 1430) + '\157' + chr(0b110011), 8) * ehT0Px3KOsy9(XQWhGt09O88Z[ehT0Px3KOsy9('\060' + chr(6967 - 6856) + chr(0b110000), 8)][-ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(549 - 500), 8)]) + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\xccO'), '\144' + chr(101) + '\143' + '\x6f' + chr(883 - 783) + '\x65')(chr(0b1110101) + '\164' + chr(102) + '\055' + '\070') + XQWhGt09O88Z[ehT0Px3KOsy9(chr(48) + chr(0b111001 + 0o66) + chr(0b100110 + 0o13), 8)] for XQWhGt09O88Z in XF_RdkJ00RDA[xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x89\x1c\x1f'), '\x64' + chr(0b1100101) + '\x63' + '\x6f' + chr(0b101001 + 0o73) + '\x65')(chr(117) + chr(4941 - 4825) + chr(0b1100110) + chr(45) + '\x38')]])
with _fwkIVCGgtAN(X0N3lR1QnSEO) as q3JxU66e2BFh:
_mls7EqQUok_ = q3JxU66e2BFh.U6MiWrhuCi2Y()
(SYBWeRDQQk_b, N3dn7q9cfXcv, VNGQdHSFPrso) = _mls7EqQUok_.partition(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\xc2O\x0f\xdd~\x86\xadM\x8f\xf6L\x08\xce\xc9\xe4\x13\xfd\xf68\xcfC'), chr(100) + '\145' + chr(0b1011100 + 0o7) + chr(3717 - 3606) + chr(100) + '\x65')(chr(0b1110101) + chr(12875 - 12759) + '\146' + chr(0b10010 + 0o33) + '\x38'))
(VNGQdHSFPrso, vSHbNOwJiC_e, yUiKpR0j07vX) = _mls7EqQUok_.partition(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2\xe6AR\x89z\x9a\xbdM\x8f\xf6L\x08\xce\xc9\xe4\x13\xfd\xf68'), '\x64' + chr(0b101110 + 0o67) + chr(0b1100011) + chr(111) + chr(7058 - 6958) + '\145')(chr(2445 - 2328) + chr(11601 - 11485) + chr(0b1100110) + chr(0b1010 + 0o43) + chr(56)))
with _fwkIVCGgtAN(X0N3lR1QnSEO, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf'), chr(1836 - 1736) + chr(4949 - 4848) + chr(0b1010111 + 0o14) + '\157' + '\x64' + '\145')(chr(117) + chr(0b1000 + 0o154) + chr(102) + chr(45) + chr(0b111000))) as jkQIKb6445KE:
xafqLlk3kkUe(jkQIKb6445KE, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\x9e\x06\x08\xcc'), chr(100) + '\145' + '\x63' + chr(111) + chr(0b111101 + 0o47) + chr(101))(chr(0b1110101) + chr(116) + '\x66' + '\055' + chr(56)))(SYBWeRDQQk_b)
xafqLlk3kkUe(jkQIKb6445KE, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\x9e\x06\x08\xcc'), chr(4970 - 4870) + '\x65' + '\143' + '\157' + chr(0b1011110 + 0o6) + chr(4230 - 4129))('\165' + '\164' + '\x66' + '\055' + '\070'))(N3dn7q9cfXcv)
xafqLlk3kkUe(jkQIKb6445KE, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\x9e\x06\x08\xcc'), '\x64' + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b111000 + 0o54) + chr(0b11000 + 0o115))('\x75' + '\x74' + chr(0b1100110) + '\x2d' + '\070'))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2\xe6'), chr(0b1011001 + 0o13) + '\x65' + chr(9450 - 9351) + '\x6f' + '\x64' + '\x65')(chr(0b111111 + 0o66) + '\x74' + '\x66' + '\x2d' + chr(0b110111 + 0o1)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2\x83\x06\x12'), chr(100) + chr(0b1000110 + 0o37) + chr(0b1100011) + chr(3339 - 3228) + '\x64' + chr(101))('\165' + '\164' + chr(0b1010100 + 0o22) + chr(0b101101) + '\070'))(LRSEFb59NFZv))
xafqLlk3kkUe(jkQIKb6445KE, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\x9e\x06\x08\xcc'), chr(100) + chr(5748 - 5647) + chr(1257 - 1158) + '\157' + chr(0b1100100) + '\145')(chr(0b1001100 + 0o51) + chr(0b1110100) + '\x66' + chr(0b101101) + '\070'))(vSHbNOwJiC_e)
xafqLlk3kkUe(jkQIKb6445KE, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\x9e\x06\x08\xcc'), chr(4307 - 4207) + chr(4082 - 3981) + chr(3084 - 2985) + '\x6f' + chr(1521 - 1421) + '\x65')('\165' + chr(0b1110100) + chr(102) + chr(1316 - 1271) + '\070'))(yUiKpR0j07vX)
|
Microsoft/LightGBM
|
helpers/parameter_generator.py
|
gen_parameter_code
|
def gen_parameter_code(config_hpp, config_out_cpp):
"""Generate auto config file.
Parameters
----------
config_hpp : string
Path to the config header file.
config_out_cpp : string
Path to the auto config file.
Returns
-------
infos : tuple
Tuple with names and content of sections.
"""
keys, infos = get_parameter_infos(config_hpp)
names = get_names(infos)
alias = get_alias(infos)
str_to_write = r"""/*!
* Copyright (c) 2018 Microsoft Corporation. All rights reserved.
* Licensed under the MIT License. See LICENSE file in the project root for license information.
*
* \note
* This file is auto generated by LightGBM\helpers\parameter_generator.py from LightGBM\include\LightGBM\config.h file.
*/
"""
str_to_write += "#include<LightGBM/config.h>\nnamespace LightGBM {\n"
# alias table
str_to_write += "std::unordered_map<std::string, std::string> Config::alias_table({\n"
for pair in alias:
str_to_write += " {\"%s\", \"%s\"},\n" % (pair[0], pair[1])
str_to_write += "});\n\n"
# names
str_to_write += "std::unordered_set<std::string> Config::parameter_set({\n"
for name in names:
str_to_write += " \"%s\",\n" % (name)
str_to_write += "});\n\n"
# from strings
str_to_write += "void Config::GetMembersFromString(const std::unordered_map<std::string, std::string>& params) {\n"
str_to_write += " std::string tmp_str = \"\";\n"
for x in infos:
for y in x:
if "[doc-only]" in y:
continue
param_type = y["inner_type"][0]
name = y["name"][0]
checks = []
if "check" in y:
checks = y["check"]
tmp = set_one_var_from_string(name, param_type, checks)
str_to_write += tmp
# tails
str_to_write += "}\n\n"
str_to_write += "std::string Config::SaveMembersToString() const {\n"
str_to_write += " std::stringstream str_buf;\n"
for x in infos:
for y in x:
if "[doc-only]" in y:
continue
param_type = y["inner_type"][0]
name = y["name"][0]
if "vector" in param_type:
if "int8" in param_type:
str_to_write += " str_buf << \"[%s: \" << Common::Join(Common::ArrayCast<int8_t, int>(%s), \",\") << \"]\\n\";\n" % (name, name)
else:
str_to_write += " str_buf << \"[%s: \" << Common::Join(%s, \",\") << \"]\\n\";\n" % (name, name)
else:
str_to_write += " str_buf << \"[%s: \" << %s << \"]\\n\";\n" % (name, name)
# tails
str_to_write += " return str_buf.str();\n"
str_to_write += "}\n\n"
str_to_write += "} // namespace LightGBM\n"
with open(config_out_cpp, "w") as config_out_cpp_file:
config_out_cpp_file.write(str_to_write)
return keys, infos
|
python
|
def gen_parameter_code(config_hpp, config_out_cpp):
"""Generate auto config file.
Parameters
----------
config_hpp : string
Path to the config header file.
config_out_cpp : string
Path to the auto config file.
Returns
-------
infos : tuple
Tuple with names and content of sections.
"""
keys, infos = get_parameter_infos(config_hpp)
names = get_names(infos)
alias = get_alias(infos)
str_to_write = r"""/*!
* Copyright (c) 2018 Microsoft Corporation. All rights reserved.
* Licensed under the MIT License. See LICENSE file in the project root for license information.
*
* \note
* This file is auto generated by LightGBM\helpers\parameter_generator.py from LightGBM\include\LightGBM\config.h file.
*/
"""
str_to_write += "#include<LightGBM/config.h>\nnamespace LightGBM {\n"
# alias table
str_to_write += "std::unordered_map<std::string, std::string> Config::alias_table({\n"
for pair in alias:
str_to_write += " {\"%s\", \"%s\"},\n" % (pair[0], pair[1])
str_to_write += "});\n\n"
# names
str_to_write += "std::unordered_set<std::string> Config::parameter_set({\n"
for name in names:
str_to_write += " \"%s\",\n" % (name)
str_to_write += "});\n\n"
# from strings
str_to_write += "void Config::GetMembersFromString(const std::unordered_map<std::string, std::string>& params) {\n"
str_to_write += " std::string tmp_str = \"\";\n"
for x in infos:
for y in x:
if "[doc-only]" in y:
continue
param_type = y["inner_type"][0]
name = y["name"][0]
checks = []
if "check" in y:
checks = y["check"]
tmp = set_one_var_from_string(name, param_type, checks)
str_to_write += tmp
# tails
str_to_write += "}\n\n"
str_to_write += "std::string Config::SaveMembersToString() const {\n"
str_to_write += " std::stringstream str_buf;\n"
for x in infos:
for y in x:
if "[doc-only]" in y:
continue
param_type = y["inner_type"][0]
name = y["name"][0]
if "vector" in param_type:
if "int8" in param_type:
str_to_write += " str_buf << \"[%s: \" << Common::Join(Common::ArrayCast<int8_t, int>(%s), \",\") << \"]\\n\";\n" % (name, name)
else:
str_to_write += " str_buf << \"[%s: \" << Common::Join(%s, \",\") << \"]\\n\";\n" % (name, name)
else:
str_to_write += " str_buf << \"[%s: \" << %s << \"]\\n\";\n" % (name, name)
# tails
str_to_write += " return str_buf.str();\n"
str_to_write += "}\n\n"
str_to_write += "} // namespace LightGBM\n"
with open(config_out_cpp, "w") as config_out_cpp_file:
config_out_cpp_file.write(str_to_write)
return keys, infos
|
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"\"std::unordered_set<std::string> Config::parameter_set({\\n\"",
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"\" \\\"%s\\\",\\n\"",
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"\"});\\n\\n\"",
"# from strings",
"str_to_write",
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"\"void Config::GetMembersFromString(const std::unordered_map<std::string, std::string>& params) {\\n\"",
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"\" std::string tmp_str = \\\"\\\";\\n\"",
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"\" str_buf << \\\"[%s: \\\" << Common::Join(Common::ArrayCast<int8_t, int>(%s), \\\",\\\") << \\\"]\\\\n\\\";\\n\"",
"%",
"(",
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",",
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"\" str_buf << \\\"[%s: \\\" << Common::Join(%s, \\\",\\\") << \\\"]\\\\n\\\";\\n\"",
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"\"} // namespace LightGBM\\n\"",
"with",
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"(",
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",",
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] |
Generate auto config file.
Parameters
----------
config_hpp : string
Path to the config header file.
config_out_cpp : string
Path to the auto config file.
Returns
-------
infos : tuple
Tuple with names and content of sections.
|
[
"Generate",
"auto",
"config",
"file",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/helpers/parameter_generator.py#L245-L320
|
train
|
Generate the code for the parameter generator.
|
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) + chr(0b110011) + '\x33' + '\x30', 57185 - 57177), ehT0Px3KOsy9(chr(856 - 808) + '\x6f' + chr(55) + chr(0b11101 + 0o32), 58110 - 58102), ehT0Px3KOsy9(chr(48) + chr(111) + chr(52) + chr(2093 - 2039), 209 - 201), ehT0Px3KOsy9(chr(1464 - 1416) + '\x6f' + '\066' + '\067', 53633 - 53625), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(9014 - 8903) + chr(1026 - 976) + '\x33' + chr(0b101100 + 0o5), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + '\x33' + chr(0b1101 + 0o50), 5362 - 5354), ehT0Px3KOsy9(chr(1319 - 1271) + chr(0b1101111) + chr(50) + chr(53) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1514 - 1465) + chr(0b101000 + 0o10), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5259 - 5148) + chr(0b1110 + 0o44) + '\x34' + chr(0b11110 + 0o26), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(1029 - 980) + chr(0b100000 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(1949 - 1901) + chr(0b1000000 + 0o57) + chr(0b110010) + '\067' + chr(0b110110), 43615 - 43607), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + '\063' + chr(924 - 873) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\066' + '\x30', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100000 + 0o23) + chr(0b10100 + 0o35) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(1463 - 1415) + chr(111) + chr(0b110010) + '\065' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(2247 - 2199) + chr(0b1101111) + chr(0b101011 + 0o11) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(357 - 308) + '\062' + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b100100 + 0o113) + '\062' + chr(217 - 165) + chr(1484 - 1431), 0o10), ehT0Px3KOsy9('\060' + chr(7200 - 7089) + chr(51) + chr(0b110000) + chr(0b100010 + 0o22), 15815 - 15807), ehT0Px3KOsy9('\060' + chr(632 - 521) + chr(51) + '\x35' + chr(0b1000 + 0o54), 0b1000), ehT0Px3KOsy9(chr(1376 - 1328) + chr(10706 - 10595) + chr(0b110001) + chr(48) + chr(0b110000), 3319 - 3311), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(648 - 599) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\065' + chr(2738 - 2683), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + chr(50) + chr(50) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\x36' + '\x37', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\061' + chr(0b101001 + 0o14), 2633 - 2625), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\063' + chr(1983 - 1931), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(980 - 929) + chr(0b110011) + chr(55), 8), ehT0Px3KOsy9('\060' + chr(0b1010110 + 0o31) + '\x31' + '\x31' + '\063', 27684 - 27676), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101000 + 0o7) + '\x32' + chr(0b10101 + 0o35) + chr(253 - 202), 0o10), ehT0Px3KOsy9('\x30' + chr(5958 - 5847) + chr(0b110010) + chr(0b110011) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b1011 + 0o47) + chr(0b101 + 0o61) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(6260 - 6149) + '\062' + '\063' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(751 - 700) + '\063' + chr(55), 8), ehT0Px3KOsy9('\x30' + chr(0b1011001 + 0o26) + '\061' + chr(2627 - 2574) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(2702 - 2647) + chr(352 - 298), 0o10), ehT0Px3KOsy9(chr(192 - 144) + chr(4037 - 3926) + chr(1152 - 1103) + chr(51) + '\064', 7965 - 7957), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110 + 0o55) + chr(0b1100 + 0o47) + chr(0b1011 + 0o54), 8), ehT0Px3KOsy9('\x30' + chr(0b100110 + 0o111) + chr(0b110011) + chr(0b110 + 0o54) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1100101 + 0o12) + '\064' + chr(55), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1 + 0o156) + chr(0b100110 + 0o17) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6'), chr(0b1010111 + 0o15) + chr(0b1100101) + chr(99) + chr(0b100101 + 0o112) + chr(6396 - 6296) + chr(0b1100101))(chr(0b101110 + 0o107) + chr(0b1110100) + chr(0b10010 + 0o124) + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZE7Fxm_RMZzN(RBjYoyq4xwdZ, ve1ezPaQFFeB):
(w8H8C9ec5BO1, IxpfLxpjkLkf) = VmPT79mQYhDo(RBjYoyq4xwdZ)
OcnR1hZ7pGdr = QAOYQOrfYIE2(IxpfLxpjkLkf)
RJ1pgC_UBwkP = a2ny4Tq4l3ik(IxpfLxpjkLkf)
uwzoMnHArcUC = xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x15\x07=\xb9\xf7\x8eK\xcb~\xc7\xadY\xa9\xc3Tq\x8d\xa7\xc5`~_\xa1\xcfm\xd1\xb6(\xe1\xf4\xc4\xf7\xb9\x19\xde\x1f\xb0\xa7W\xb7MGC\xf0\xb2\xc0&\x84O\xd2\xb3\x10\xbc\xc2G9\xd1\xb7\xcc2)\x1c\xf5\x85;\xf9\xbbe\x99\xbb\x9d\xb8\x93\x04\x9d9\xb1\xa6B\xbc\x1fSY\xfd\xb8\xdc(\xd0f\xdb\xff}\x87\xff\x00\x1d\xcc\xa7\x89.?\n\xbe\xd7\x1e\xf9\xbak\xdf\xd2\xf4\xdd\x91>\xbb|\xb9\xbcK\xbd\x1fOY\xb9\xa9\xc6m\x84~\xcc\xb0Z\xab\xc8Tq\xd7\xab\x834l\t\xff\x85m\xf0\xb6(\xf6\xf5\xc4\xfd\xff\x04\x90:\xb0\xa7J\xb9KOX\xf7\xf3\xa4(\x8e\x04\x9e\xf5\x10\x92\xc5O%\xc0\xce\xccjl;\xf8\x9e>\xbc\xb9"\xff\xfe\x97\xf1\xacM\x9f)\xab\xba\x07\xbfZHR\xeb\xbc\xdam\xc0.\xdc\xa6\x10\x82\xc2G9\xd1\x83\xae\r\x10\x07\xf5\x9b=\xf9\xad8\xcf\xeb\xd6\xea\xbe\x00\x9b(\xba\xa7x\xbfZHR\xeb\xbc\xdag\xd6 \xce\xa6\x10\xa8\xd9O<\x85\x88\x85\'$\x1b\xd7\xb5\x00\xc0\xb6%\xf0\xf7\xc2\xfc\xba1\xb25\xb8\xbdS\x9f}kk\xfa\xb2\xc0n\xcdi\x90\xb7\x10\xa8\xc2L4\x8b\xce\xccjce'), chr(7777 - 7677) + chr(0b1100101) + '\143' + chr(111) + chr(100) + chr(4300 - 4199))(chr(0b111000 + 0o75) + chr(0b1110100) + '\x66' + chr(0b10 + 0o53) + '\x38')
uwzoMnHArcUC += xafqLlk3kkUe(SXOLrMavuUCe(b'\xfbVHT\xf5\xa8\xcam\x98B\xd7\xb8X\xba\xecb\x1c\x8a\xa7\x83.*\x06\xf7\xd9%\xa2\xd5%\xf2\xf6\xd2\xeb\xaf\x0c\x9d9\xff\x99N\xbfWRp\xdb\x90\x8es\xae'), '\144' + chr(7641 - 7540) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(101))(chr(0b1110101) + chr(0b1000110 + 0o56) + chr(102) + chr(0b101101) + chr(0b111000))
uwzoMnHArcUC += xafqLlk3kkUe(SXOLrMavuUCe(b'\xabKB\r\xa3\xa8\xc0g\xd6j\xdb\xadU\xaa\xf4M0\xd5\xf8\x9f4(U\xaa\x849\xee\xb6%\xf4\xb7\x97\xeb\xab\t\xc4f\xac\xa1U\xb1QA\t\xb9\x9e\xc1f\xc2g\xd9\xe5\n\xaf\xc7I0\xd6\x9b\x98!.\x03\xf5\xdf6\x96'), '\144' + '\145' + chr(957 - 858) + chr(6317 - 6206) + chr(100) + chr(1127 - 1026))('\x75' + '\x74' + '\x66' + chr(0b100101 + 0o10) + chr(0b1101 + 0o53))
for juRoAwq4N67F in RJ1pgC_UBwkP:
uwzoMnHArcUC += xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\x1f]\x15\xbc\xae\x8c$\x84,\x9b\xac\x12\xb3\x87*'), chr(0b10011 + 0o121) + chr(0b1011 + 0o132) + chr(0b101111 + 0o64) + '\x6f' + chr(2467 - 2367) + chr(101))(chr(0b10110 + 0o137) + chr(116) + chr(102) + chr(0b101101) + '\x38') % (juRoAwq4N67F[ehT0Px3KOsy9(chr(700 - 652) + '\x6f' + chr(48), 34199 - 34191)], juRoAwq4N67F[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49), ord("\x08"))])
uwzoMnHArcUC += xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5\x16\x1d=\x93'), chr(0b1100100) + '\145' + chr(8149 - 8050) + '\x6f' + chr(8720 - 8620) + chr(0b1000100 + 0o41))(chr(0b1001110 + 0o47) + chr(116) + '\x66' + chr(0b101101) + chr(0b111000))
uwzoMnHArcUC += xafqLlk3kkUe(SXOLrMavuUCe(b'\xabKB\r\xa3\xa8\xc0g\xd6j\xdb\xadU\xaa\xf4S4\xd1\xf8\x9f4(U\xaa\x849\xee\xb6%\xf4\xa5\x97\xdb\xb0\x03\x985\xb8\xef\x1d\xa8^TV\xf4\xb8\xdam\xd6Q\xcd\xbaD\xe6\xd0*'), chr(0b1011000 + 0o14) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(100) + '\145')(chr(0b1110101) + chr(1457 - 1341) + '\x66' + chr(1204 - 1159) + '\070')
for AIvJRzLdDfgF in OcnR1hZ7pGdr:
uwzoMnHArcUC += xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\x1f\x04\x12\xea\xff\x82\x02'), chr(0b1010101 + 0o17) + '\145' + chr(7784 - 7685) + chr(111) + chr(0b11 + 0o141) + '\145')('\165' + '\164' + chr(2032 - 1930) + chr(1915 - 1870) + '\x38') % AIvJRzLdDfgF
uwzoMnHArcUC += xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5\x16\x1d=\x93'), '\x64' + chr(0b1100101) + '\x63' + '\x6f' + '\144' + '\x65')(chr(0b1110101) + '\x74' + chr(8286 - 8184) + chr(0b101 + 0o50) + '\070')
uwzoMnHArcUC += xafqLlk3kkUe(SXOLrMavuUCe(b'\xaePOS\xb9\x9e\xc1f\xc2g\xd9\xe5\n\x89\xceT\x1c\xc0\xa9\x8e%>\x1c\xd6\x85"\xf1\x8c?\xe1\xf2\xd9\xff\xf7\x0e\x912\xac\xa1\x07\xabKB\r\xa3\xa8\xc0g\xd6j\xdb\xadU\xaa\xf4M0\xd5\xf8\x9f4(U\xaa\x849\xee\xb6%\xf4\xb7\x97\xeb\xab\t\xc4f\xac\xa1U\xb1QA\t\xbf\xfd\xdei\xd6o\xd3\xac\x19\xee\xd0*'), chr(100) + chr(0b11101 + 0o110) + chr(0b1100011) + chr(3355 - 3244) + chr(100) + chr(6266 - 6165))(chr(0b1110101) + '\164' + chr(0b1000100 + 0o42) + chr(0b1011 + 0o42) + chr(2836 - 2780))
uwzoMnHArcUC += xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\x1fUC\xfd\xe7\x94{\xd0|\xd7\xb1W\xee\xdfM!\xfa\xb7\x982lR\xb0\xd5o\xa7\xd5'), chr(0b1100100) + chr(421 - 320) + chr(6240 - 6141) + '\x6f' + '\144' + '\x65')(chr(3641 - 3524) + chr(116) + '\146' + '\x2d' + '\x38')
for OeWW0F1dBPRQ in IxpfLxpjkLkf:
for SqiSOtYOqOJH in OeWW0F1dBPRQ:
if xafqLlk3kkUe(SXOLrMavuUCe(b'\x83[IT\xb4\xb2\xc0d\xddS'), chr(100) + '\x65' + chr(99) + chr(0b1110 + 0o141) + '\x64' + chr(0b1011 + 0o132))(chr(7692 - 7575) + '\164' + chr(102) + chr(2008 - 1963) + '\070') in SqiSOtYOqOJH:
continue
LYEGMLiiZQHD = SqiSOtYOqOJH[xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1QHR\xeb\x82\xdaq\xd4k'), chr(100) + chr(9398 - 9297) + chr(99) + chr(0b1010110 + 0o31) + chr(0b1100100) + chr(0b1001001 + 0o34))(chr(9730 - 9613) + chr(116) + '\146' + chr(1215 - 1170) + chr(0b111000))][ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(48), 8)]
AIvJRzLdDfgF = SqiSOtYOqOJH[xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6^KR'), chr(0b1010010 + 0o22) + chr(0b1000110 + 0o37) + chr(99) + '\x6f' + chr(5982 - 5882) + '\x65')('\x75' + chr(116) + chr(2803 - 2701) + chr(651 - 606) + chr(1369 - 1313))][ehT0Px3KOsy9('\060' + chr(5085 - 4974) + '\x30', 8)]
iLtSlXNVboft = []
if xafqLlk3kkUe(SXOLrMavuUCe(b'\xbbWCT\xf2'), chr(0b1100100) + chr(5146 - 5045) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(101))(chr(0b1110101) + chr(0b1010 + 0o152) + '\x66' + chr(0b101101) + '\x38') in SqiSOtYOqOJH:
iLtSlXNVboft = SqiSOtYOqOJH[xafqLlk3kkUe(SXOLrMavuUCe(b'\xbbWCT\xf2'), chr(0b1100100) + '\x65' + '\143' + chr(111) + chr(5455 - 5355) + '\x65')(chr(0b1110101) + chr(7243 - 7127) + chr(102) + '\x2d' + '\070')]
J8N_NsgU9OIv = a5KeSSsdJnWs(AIvJRzLdDfgF, LYEGMLiiZQHD, iLtSlXNVboft)
uwzoMnHArcUC += J8N_NsgU9OIv
uwzoMnHArcUC += xafqLlk3kkUe(SXOLrMavuUCe(b'\xa55,'), '\x64' + chr(0b1100 + 0o131) + chr(0b1100011) + chr(2521 - 2410) + '\144' + '\145')(chr(0b11001 + 0o134) + '\164' + '\x66' + chr(45) + chr(56))
uwzoMnHArcUC += xafqLlk3kkUe(SXOLrMavuUCe(b'\xabKB\r\xa3\xae\xdaz\xcd`\xd9\xffs\xa1\xc5F8\xc2\xfe\xd6\x13-\x19\xf5\xba(\xf1\xbd.\xe1\xe8\xe3\xf7\x8c\x19\x8c5\xb1\xb2\x0f\xf1\x1fEX\xf7\xae\xda(\xdf\x04'), chr(100) + chr(0b1010100 + 0o21) + chr(3084 - 2985) + chr(8326 - 8215) + '\144' + chr(101))(chr(0b101100 + 0o111) + '\164' + '\146' + chr(160 - 115) + chr(56))
uwzoMnHArcUC += xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\x1fUC\xfd\xe7\x94{\xd0|\xd7\xb1W\xbd\xdfR4\xc4\xa9\xcc38\x1d\xcf\x958\xfa\xe4A'), '\x64' + chr(0b1011111 + 0o6) + chr(0b110000 + 0o63) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(0b100001 + 0o124) + '\164' + chr(8488 - 8386) + '\x2d' + chr(0b100101 + 0o23))
for OeWW0F1dBPRQ in IxpfLxpjkLkf:
for SqiSOtYOqOJH in OeWW0F1dBPRQ:
if xafqLlk3kkUe(SXOLrMavuUCe(b'\x83[IT\xb4\xb2\xc0d\xddS'), chr(100) + '\x65' + chr(0b1100011) + '\x6f' + '\x64' + chr(0b1100001 + 0o4))(chr(117) + '\x74' + chr(102) + chr(0b101101) + '\x38') in SqiSOtYOqOJH:
continue
LYEGMLiiZQHD = SqiSOtYOqOJH[xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1QHR\xeb\x82\xdaq\xd4k'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(0b110001 + 0o63) + chr(101))('\165' + chr(3322 - 3206) + chr(0b1100110) + '\055' + chr(56))][ehT0Px3KOsy9(chr(48) + '\x6f' + chr(726 - 678), 8)]
AIvJRzLdDfgF = SqiSOtYOqOJH[xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6^KR'), chr(0b11000 + 0o114) + chr(101) + chr(99) + '\x6f' + chr(100) + chr(0b1100101))(chr(0b101010 + 0o113) + '\x74' + '\146' + '\x2d' + chr(0b110111 + 0o1))][ehT0Px3KOsy9('\x30' + chr(0b1100010 + 0o15) + chr(0b110000), 8)]
if xafqLlk3kkUe(SXOLrMavuUCe(b'\xaeZEC\xf6\xaf'), '\x64' + '\x65' + '\x63' + '\x6f' + '\144' + '\x65')('\165' + '\x74' + '\x66' + chr(0b101101) + chr(0b0 + 0o70)) in LYEGMLiiZQHD:
if xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1QR\x0f'), '\144' + '\145' + chr(0b1101 + 0o126) + chr(0b11110 + 0o121) + chr(6947 - 6847) + chr(0b1100101))('\165' + chr(3192 - 3076) + '\146' + chr(0b10100 + 0o31) + '\070') in LYEGMLiiZQHD:
uwzoMnHArcUC += xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\x1fUC\xeb\x82\xcc}\xc2.\x82\xe3\x10\xec\xf0\x05"\x9f\xe4\xce`pS\xb0\xb4"\xf1\xb2$\xfd\xa1\x8d\xd2\xb0\x04\x90t\x9c\xbaJ\xb5PH\r\xa3\x9c\xdcz\xc5w\xfd\xbeC\xba\x97I?\xd1\xfc\xb34`O\xf9\x999\xa2\xf7n\xe0\xb2\x9b\xb8\xfdA\xdcu\xff\xe9\x1b\xf8\x1d{k\xf7\xff\x95\x02'), chr(187 - 87) + chr(101) + '\143' + chr(111) + chr(2651 - 2551) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b10100 + 0o122) + '\x2d' + chr(1695 - 1639)) % (AIvJRzLdDfgF, AIvJRzLdDfgF)
else:
uwzoMnHArcUC += xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\x1fUC\xeb\x82\xcc}\xc2.\x82\xe3\x10\xec\xf0\x05"\x9f\xe4\xce`pS\xb0\xb4"\xf1\xb2$\xfd\xa1\x8d\xd2\xb0\x04\x90t\xfa\xa6\x0b\xf8\x1d\n\x15\xb0\xfd\x924\x84,\xe3\x83^\xec\x90*'), chr(4240 - 4140) + chr(950 - 849) + '\x63' + chr(0b1001001 + 0o46) + '\144' + chr(0b1010001 + 0o24))('\x75' + '\x74' + chr(102) + '\x2d' + '\070') % (AIvJRzLdDfgF, AIvJRzLdDfgF)
else:
uwzoMnHArcUC += xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\x1fUC\xeb\x82\xcc}\xc2.\x82\xe3\x10\xec\xf0\x05"\x9f\xe4\xce`pS\xb0\xd2>\xbc\xe3w\xb3\xb9\xea\xc4\xb1O\xc5V'), '\x64' + chr(0b1000 + 0o135) + chr(0b1000000 + 0o43) + '\x6f' + '\144' + chr(0b101010 + 0o73))(chr(0b1011101 + 0o30) + chr(0b110000 + 0o104) + '\x66' + '\x2d' + chr(56)) % (AIvJRzLdDfgF, AIvJRzLdDfgF)
uwzoMnHArcUC += xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\x1fTR\xed\xa8\xdcf\x84}\xca\xado\xac\xdeF\x7f\xd6\xb0\x9eheT\x9a'), chr(659 - 559) + chr(0b1100101) + chr(0b1100011) + chr(443 - 332) + chr(100) + chr(3683 - 3582))(chr(7995 - 7878) + '\x74' + chr(9341 - 9239) + chr(60 - 15) + '\x38')
uwzoMnHArcUC += xafqLlk3kkUe(SXOLrMavuUCe(b'\xa55,'), chr(0b101101 + 0o67) + '\x65' + '\143' + '\x6f' + '\x64' + chr(0b100111 + 0o76))(chr(0b1101101 + 0o10) + '\x74' + chr(0b1100110) + chr(45) + '\x38')
uwzoMnHArcUC += xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5\x1f\x06\x18\xb6\xfd\xc0i\xc9k\xcd\xafQ\xad\xce\x00\x1d\xcc\xa3\x844\x0b-\xdd\xfd'), chr(0b1100100) + chr(0b110110 + 0o57) + chr(99) + chr(0b1101111) + chr(0b1111 + 0o125) + '\x65')(chr(13087 - 12970) + '\164' + '\146' + chr(0b101101) + chr(1727 - 1671))
with _fwkIVCGgtAN(ve1ezPaQFFeB, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf'), '\x64' + chr(0b1001111 + 0o26) + chr(0b1100011) + chr(0b11011 + 0o124) + '\x64' + chr(0b11100 + 0o111))(chr(0b101001 + 0o114) + '\x74' + chr(0b1100110) + chr(0b1011 + 0o42) + '\070')) as Ds3YpQqwWwMc:
xafqLlk3kkUe(Ds3YpQqwWwMc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xafMOC\xfc'), chr(0b1100100) + '\145' + chr(4096 - 3997) + chr(0b10111 + 0o130) + chr(3854 - 3754) + chr(1101 - 1000))(chr(1781 - 1664) + chr(116) + '\x66' + '\055' + chr(141 - 85)))(uwzoMnHArcUC)
return (w8H8C9ec5BO1, IxpfLxpjkLkf)
|
Microsoft/LightGBM
|
python-package/lightgbm/basic.py
|
_load_lib
|
def _load_lib():
"""Load LightGBM library."""
lib_path = find_lib_path()
if len(lib_path) == 0:
return None
lib = ctypes.cdll.LoadLibrary(lib_path[0])
lib.LGBM_GetLastError.restype = ctypes.c_char_p
return lib
|
python
|
def _load_lib():
"""Load LightGBM library."""
lib_path = find_lib_path()
if len(lib_path) == 0:
return None
lib = ctypes.cdll.LoadLibrary(lib_path[0])
lib.LGBM_GetLastError.restype = ctypes.c_char_p
return lib
|
[
"def",
"_load_lib",
"(",
")",
":",
"lib_path",
"=",
"find_lib_path",
"(",
")",
"if",
"len",
"(",
"lib_path",
")",
"==",
"0",
":",
"return",
"None",
"lib",
"=",
"ctypes",
".",
"cdll",
".",
"LoadLibrary",
"(",
"lib_path",
"[",
"0",
"]",
")",
"lib",
".",
"LGBM_GetLastError",
".",
"restype",
"=",
"ctypes",
".",
"c_char_p",
"return",
"lib"
] |
Load LightGBM library.
|
[
"Load",
"LightGBM",
"library",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/basic.py#L25-L32
|
train
|
Load LightGBM library.
|
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' + '\063' + chr(55) + chr(0b100 + 0o63), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1690 - 1638), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\x33' + chr(53), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\x32' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(402 - 352) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x35', 35938 - 35930), ehT0Px3KOsy9(chr(1763 - 1715) + chr(0b101010 + 0o105) + chr(52) + chr(1220 - 1169), 10296 - 10288), ehT0Px3KOsy9(chr(1505 - 1457) + chr(6839 - 6728) + '\063', 61393 - 61385), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(1414 - 1364), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + '\x32' + chr(2772 - 2719) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(2197 - 2149) + chr(111) + '\x32' + chr(0b110110) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\060' + chr(834 - 785), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1925 - 1873), 8), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(51) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1419 - 1369) + '\064' + chr(0b101 + 0o54), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(2368 - 2316) + '\066', 34740 - 34732), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(713 - 663) + chr(55) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110110) + chr(0b101101 + 0o3), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x34' + '\x34', 52299 - 52291), ehT0Px3KOsy9('\060' + chr(8871 - 8760) + chr(1638 - 1589) + chr(0b110001) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8935 - 8824) + chr(0b100100 + 0o15) + chr(52) + '\x37', 0o10), ehT0Px3KOsy9(chr(327 - 279) + chr(0b1101111) + chr(0b11011 + 0o30) + chr(1481 - 1428) + chr(161 - 111), 10668 - 10660), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + chr(0b110001) + chr(223 - 169) + chr(54), 46585 - 46577), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(809 - 757) + chr(1283 - 1234), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(52) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110100) + chr(0b100101 + 0o17), 8), ehT0Px3KOsy9(chr(48) + chr(0b1011110 + 0o21) + chr(51) + chr(0b110011) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(5738 - 5627) + chr(0b101 + 0o54) + chr(52) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + chr(0b110010) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(1809 - 1760) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1111 + 0o43) + chr(52) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x37' + '\x36', 20826 - 20818), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + '\062' + '\066' + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1874 - 1763) + chr(1140 - 1091) + chr(54) + chr(2244 - 2190), 8), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(1602 - 1553) + '\064' + chr(0b110110), 10203 - 10195), ehT0Px3KOsy9(chr(1036 - 988) + '\x6f' + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(1099 - 1048) + chr(563 - 513), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(54) + '\x30', 8), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + chr(55) + chr(0b110100), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(6173 - 6062) + '\065' + chr(789 - 741), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1'), '\144' + chr(0b1011001 + 0o14) + chr(0b110101 + 0o56) + chr(9451 - 9340) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b1001111 + 0o45) + chr(102) + chr(0b1100 + 0o41) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def NwvVi4xPYdeh():
TXn2PH051exF = wS8dOs33JZvU()
if c2A0yzQpDQB3(TXn2PH051exF) == ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + chr(0b10100 + 0o34), 0b1000):
return None
JiWVXlj3BjzT = RyQ4N1viUrfz.cdll.LoadLibrary(TXn2PH051exF[ehT0Px3KOsy9('\x30' + chr(7979 - 7868) + '\060', 8)])
JiWVXlj3BjzT.LGBM_GetLastError.AHQ7bom48z_s = RyQ4N1viUrfz.c_char_p
return JiWVXlj3BjzT
|
Microsoft/LightGBM
|
python-package/lightgbm/basic.py
|
list_to_1d_numpy
|
def list_to_1d_numpy(data, dtype=np.float32, name='list'):
"""Convert data to 1-D numpy array."""
if is_numpy_1d_array(data):
if data.dtype == dtype:
return data
else:
return data.astype(dtype=dtype, copy=False)
elif is_1d_list(data):
return np.array(data, dtype=dtype, copy=False)
elif isinstance(data, Series):
return data.values.astype(dtype)
else:
raise TypeError("Wrong type({0}) for {1}.\n"
"It should be list, numpy 1-D array or pandas Series".format(type(data).__name__, name))
|
python
|
def list_to_1d_numpy(data, dtype=np.float32, name='list'):
"""Convert data to 1-D numpy array."""
if is_numpy_1d_array(data):
if data.dtype == dtype:
return data
else:
return data.astype(dtype=dtype, copy=False)
elif is_1d_list(data):
return np.array(data, dtype=dtype, copy=False)
elif isinstance(data, Series):
return data.values.astype(dtype)
else:
raise TypeError("Wrong type({0}) for {1}.\n"
"It should be list, numpy 1-D array or pandas Series".format(type(data).__name__, name))
|
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] |
Convert data to 1-D numpy array.
|
[
"Convert",
"data",
"to",
"1",
"-",
"D",
"numpy",
"array",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/basic.py#L71-L84
|
train
|
Convert data to 1 - D numpy array.
|
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(0b100111 + 0o11) + chr(0b1101111) + chr(49) + '\067', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101101 + 0o6) + chr(0b110011) + '\062', 0o10), ehT0Px3KOsy9(chr(140 - 92) + '\x6f' + chr(49) + chr(631 - 579) + chr(52), 30715 - 30707), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(5343 - 5232) + chr(51) + '\x35' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(919 - 866) + '\062', 4824 - 4816), ehT0Px3KOsy9(chr(0b110000) + chr(5188 - 5077) + chr(0b110011) + chr(0b110100) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110 + 0o151) + '\x32' + '\x33' + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9485 - 9374) + chr(50) + '\x31' + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(3256 - 3145) + chr(49) + '\x37' + '\067', 55080 - 55072), ehT0Px3KOsy9(chr(2037 - 1989) + chr(0b110000 + 0o77) + chr(0b110001) + chr(0b1011 + 0o51) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(524 - 476) + chr(111) + chr(0b101011 + 0o10) + chr(0b110110), 32474 - 32466), ehT0Px3KOsy9(chr(820 - 772) + chr(6372 - 6261) + '\x33' + chr(0b10100 + 0o43) + chr(0b110000 + 0o4), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\065' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b11001 + 0o126) + chr(0b11000 + 0o35) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(1994 - 1946) + '\157' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b110001), 56049 - 56041), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2108 - 2058) + chr(1213 - 1160) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011111 + 0o20) + chr(50) + '\063' + chr(0b110010 + 0o5), 39961 - 39953), ehT0Px3KOsy9(chr(48) + chr(6388 - 6277) + '\064' + chr(0b110100), 61194 - 61186), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(111) + chr(0b110010) + chr(0b10110 + 0o33) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(51) + chr(55), 22516 - 22508), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1010101 + 0o32) + '\x34' + chr(713 - 664), 33561 - 33553), ehT0Px3KOsy9(chr(1726 - 1678) + chr(0b1101111) + chr(0b110011 + 0o2) + chr(0b101010 + 0o7), 0b1000), ehT0Px3KOsy9(chr(48) + chr(11956 - 11845) + '\x36' + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(537 - 426) + chr(0b110001) + chr(49) + '\x30', 40337 - 40329), ehT0Px3KOsy9(chr(817 - 769) + '\157' + chr(0b11011 + 0o27) + chr(55) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(10745 - 10634) + chr(51) + '\x33' + chr(50), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(0b110010 + 0o5) + '\064', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101010 + 0o14) + '\x30', 8), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(197 - 149) + chr(787 - 737), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(902 - 853) + chr(54) + chr(2773 - 2720), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011101 + 0o22) + chr(54) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b1001 + 0o47) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1011 + 0o46) + chr(0b10100 + 0o36) + chr(2467 - 2415), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(52) + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\062', 1177 - 1169), ehT0Px3KOsy9(chr(1466 - 1418) + chr(111) + chr(0b110010) + '\063' + '\063', 9291 - 9283), ehT0Px3KOsy9(chr(48) + chr(0b10011 + 0o134) + '\061' + chr(0b110010) + '\064', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2078 - 2028) + '\x32' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + chr(1315 - 1264) + '\067' + chr(55), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(0b101100 + 0o11) + chr(0b1100 + 0o44), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'!'), chr(3407 - 3307) + chr(5938 - 5837) + chr(0b110100 + 0o57) + chr(111) + '\x64' + chr(10175 - 10074))(chr(0b1111 + 0o146) + '\x74' + chr(9874 - 9772) + '\055' + chr(1120 - 1064)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def qSQ6RTZnHQ3X(ULnjp6D6efFH, jSV9IKnemH7K=xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'i\xb6\x0b\x8c\x1e\xd4\xab'), '\144' + '\x65' + chr(2587 - 2488) + chr(968 - 857) + chr(0b1100100) + chr(7032 - 6931))('\x75' + chr(116) + '\146' + chr(45) + chr(0b1 + 0o67))), AIvJRzLdDfgF=xafqLlk3kkUe(SXOLrMavuUCe(b'c\xb3\x17\x99'), '\144' + chr(0b1100101) + '\143' + '\x6f' + '\x64' + chr(0b100100 + 0o101))('\165' + chr(11299 - 11183) + '\x66' + chr(0b1010 + 0o43) + '\070')):
if AXLy646yoqyV(ULnjp6D6efFH):
if xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'e\x892\xd4#\xac\xf7\xec\x12*)\xb7'), '\144' + chr(8339 - 8238) + chr(704 - 605) + '\x6f' + chr(0b1100100) + '\x65')('\x75' + chr(0b111010 + 0o72) + '\x66' + chr(45) + chr(3095 - 3039))) == jSV9IKnemH7K:
return ULnjp6D6efFH
else:
return xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'n\xa9\x10\x94\x1a\x82'), chr(100) + '\145' + chr(99) + chr(0b1001111 + 0o40) + chr(0b11000 + 0o114) + chr(0b1010111 + 0o16))('\165' + chr(0b10111 + 0o135) + chr(5527 - 5425) + '\055' + chr(0b111000)))(dtype=jSV9IKnemH7K, copy=ehT0Px3KOsy9(chr(1405 - 1357) + chr(1384 - 1273) + '\060', 0b1000))
elif s22gOsgCNzrN(ULnjp6D6efFH):
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'M\xea\x01\xbd.\x8f\xe9\xf8\x07,+\x92'), chr(100) + chr(101) + chr(6143 - 6044) + chr(572 - 461) + '\144' + chr(101))('\165' + '\x74' + chr(102) + '\055' + chr(595 - 539)))(ULnjp6D6efFH, dtype=jSV9IKnemH7K, copy=ehT0Px3KOsy9(chr(48) + '\x6f' + chr(152 - 104), 8))
elif PlSM16l2KDPD(ULnjp6D6efFH, I9PbrFvU4NYI):
return xafqLlk3kkUe(ULnjp6D6efFH.values, xafqLlk3kkUe(SXOLrMavuUCe(b'n\xa9\x10\x94\x1a\x82'), chr(588 - 488) + '\145' + chr(99) + chr(3202 - 3091) + chr(8259 - 8159) + chr(3179 - 3078))(chr(117) + '\164' + '\x66' + '\x2d' + chr(56)))(jSV9IKnemH7K)
else:
raise sznFqDbNBHlx(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'X\xa8\x0b\x83\r\xc7\xed\xf0\x0f\x076\x87_V.9\xc9\xf0V\xae$\x10T\x1eB\xf0\xae\xdcC\xaa\x1aA\xee0A`\xfet\xfa\x96|\xaeH\xcd\x04\x92\xf4\xf9\x06B/\xd1+\x0bfk\xdd\xfe]\xae0S\t@)\xd7\xbe\x9dC\xe2&Q\xf0=\x04q'), '\144' + chr(4139 - 4038) + '\x63' + chr(5829 - 5718) + chr(100) + chr(101))(chr(0b1110101) + chr(0b1101001 + 0o13) + chr(0b1100110) + '\055' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'Y\xee\x16\x82"\x86\xca\xba/\x12{\x96'), chr(0b1100100) + '\x65' + chr(0b1001100 + 0o27) + chr(0b1101111) + chr(5857 - 5757) + '\x65')('\x75' + '\164' + '\146' + chr(0b100100 + 0o11) + chr(934 - 878)))(xafqLlk3kkUe(wmQmyeWBmUpv(ULnjp6D6efFH), xafqLlk3kkUe(SXOLrMavuUCe(b'H\xb8\x01\x87^\x88\xc3\xf84._\xca'), chr(0b1100100) + chr(101) + '\143' + chr(111) + '\144' + chr(0b100101 + 0o100))(chr(117) + chr(116) + chr(0b100111 + 0o77) + chr(45) + chr(56))), AIvJRzLdDfgF))
|
Microsoft/LightGBM
|
python-package/lightgbm/basic.py
|
cfloat32_array_to_numpy
|
def cfloat32_array_to_numpy(cptr, length):
"""Convert a ctypes float pointer array to a numpy array."""
if isinstance(cptr, ctypes.POINTER(ctypes.c_float)):
return np.fromiter(cptr, dtype=np.float32, count=length)
else:
raise RuntimeError('Expected float pointer')
|
python
|
def cfloat32_array_to_numpy(cptr, length):
"""Convert a ctypes float pointer array to a numpy array."""
if isinstance(cptr, ctypes.POINTER(ctypes.c_float)):
return np.fromiter(cptr, dtype=np.float32, count=length)
else:
raise RuntimeError('Expected float pointer')
|
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] |
Convert a ctypes float pointer array to a numpy array.
|
[
"Convert",
"a",
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"array",
"to",
"a",
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] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/basic.py#L87-L92
|
train
|
Convert a ctypes float pointer array to a numpy array.
|
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(0b100110 + 0o12) + chr(0b1000 + 0o147) + chr(50) + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110100) + chr(919 - 871), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011110 + 0o21) + chr(50) + chr(0b110011) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + '\063' + chr(0b110111) + chr(0b11100 + 0o25), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10570 - 10459) + chr(594 - 545) + chr(0b101110 + 0o2) + chr(176 - 121), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b110110) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(1937 - 1885) + chr(970 - 922), 0o10), ehT0Px3KOsy9(chr(1239 - 1191) + '\x6f' + chr(50) + '\x35' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(0b110110) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000001 + 0o56) + chr(0b110101) + chr(0b11111 + 0o25), 57530 - 57522), ehT0Px3KOsy9('\060' + '\x6f' + chr(2580 - 2526), 0b1000), ehT0Px3KOsy9(chr(264 - 216) + chr(12260 - 12149) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\064' + chr(0b110101), 49380 - 49372), ehT0Px3KOsy9(chr(2225 - 2177) + chr(0b1011 + 0o144) + '\x33' + '\061' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100111 + 0o13) + chr(0b110010) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\x32' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x37' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(326 - 278) + chr(7786 - 7675) + chr(50) + chr(53) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(472 - 421) + '\x35' + chr(0b10 + 0o63), 49100 - 49092), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001011 + 0o44) + '\x33' + '\067' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11320 - 11209) + chr(0b101 + 0o54) + chr(1966 - 1915) + chr(0b100000 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10576 - 10465) + '\x31' + chr(0b100100 + 0o21) + chr(0b101100 + 0o4), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(10020 - 9909) + '\x31' + chr(0b110011) + chr(0b100101 + 0o16), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000011 + 0o54) + '\x33' + chr(52) + chr(2316 - 2262), 46743 - 46735), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(55), 58636 - 58628), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b0 + 0o61) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\x35' + chr(1136 - 1086), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(52) + chr(0b10010 + 0o40), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(474 - 424), 63572 - 63564), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + chr(781 - 732) + chr(0b110001 + 0o1) + '\x32', 54589 - 54581), ehT0Px3KOsy9('\060' + chr(0b110 + 0o151) + chr(52) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + '\x35' + chr(0b100100 + 0o23), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\x37' + chr(55), 57061 - 57053), ehT0Px3KOsy9('\x30' + chr(0b110 + 0o151) + '\x33' + '\x30' + chr(2019 - 1967), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b101100 + 0o10) + '\065', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(1306 - 1256) + chr(55), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1000 + 0o53) + chr(53) + '\x35', 8), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b111111 + 0o60) + chr(0b1111 + 0o43) + chr(883 - 833) + chr(2312 - 2260), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b100110 + 0o111) + chr(83 - 32) + '\x37' + chr(50), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(76 - 28) + '\157' + chr(0b10010 + 0o43) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'='), chr(9320 - 9220) + chr(0b1100101) + chr(99) + chr(0b1010000 + 0o37) + chr(8535 - 8435) + '\145')(chr(117) + chr(116) + '\146' + chr(0b10111 + 0o26) + chr(0b11110 + 0o32)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def _21OFbhAsb2e(Ku4tjmYq4f9i, CHAOgk5VCHH_):
if PlSM16l2KDPD(Ku4tjmYq4f9i, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'Co\xd4\xb7\x13\xf1\xb2'), chr(100) + chr(0b1100101) + chr(2905 - 2806) + '\x6f' + chr(0b110011 + 0o61) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(2155 - 2053) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'p\x7f\xfb\x95(\xd5\x94'), chr(100) + '\145' + '\143' + chr(743 - 632) + chr(7536 - 7436) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(8210 - 8108) + '\055' + chr(56))))):
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'uR\xf2\x94.\xc0\x85\xdb'), '\x64' + chr(0b110100 + 0o61) + chr(99) + '\157' + '\144' + chr(8466 - 8365))('\165' + chr(116) + chr(0b10101 + 0o121) + chr(0b101101) + chr(0b111000)))(Ku4tjmYq4f9i, dtype=xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'uL\xf2\x983\x87\xd2'), chr(4785 - 4685) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(3558 - 3458) + chr(0b10100 + 0o121))(chr(0b10000 + 0o145) + chr(12863 - 12747) + chr(0b1100010 + 0o4) + '\x2d' + chr(56))), count=CHAOgk5VCHH_)
else:
raise n0ZkatoveZpF(xafqLlk3kkUe(SXOLrMavuUCe(b"VX\xed\x9c$\xc0\x85\xcd\x97Jjn\x04\xb9\xb3'Q\xc1\x83\x88:\x1a"), chr(0b1100001 + 0o3) + chr(101) + chr(0b1001100 + 0o27) + chr(111) + chr(100) + '\145')(chr(0b1101001 + 0o14) + chr(116) + '\146' + chr(321 - 276) + chr(486 - 430)))
|
Microsoft/LightGBM
|
python-package/lightgbm/basic.py
|
cfloat64_array_to_numpy
|
def cfloat64_array_to_numpy(cptr, length):
"""Convert a ctypes double pointer array to a numpy array."""
if isinstance(cptr, ctypes.POINTER(ctypes.c_double)):
return np.fromiter(cptr, dtype=np.float64, count=length)
else:
raise RuntimeError('Expected double pointer')
|
python
|
def cfloat64_array_to_numpy(cptr, length):
"""Convert a ctypes double pointer array to a numpy array."""
if isinstance(cptr, ctypes.POINTER(ctypes.c_double)):
return np.fromiter(cptr, dtype=np.float64, count=length)
else:
raise RuntimeError('Expected double pointer')
|
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] |
Convert a ctypes double pointer array to a numpy array.
|
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] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/basic.py#L95-L100
|
train
|
Convert a ctypes double pointer array to a numpy array.
|
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(51) + chr(49) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(1771 - 1717) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(469 - 421) + chr(111) + chr(0b110010) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(0b1110 + 0o50) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b110100) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + '\061' + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(0b1100 + 0o143) + chr(50) + chr(53) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1894 - 1845) + '\066' + chr(0b1111 + 0o47), 53618 - 53610), ehT0Px3KOsy9(chr(1714 - 1666) + chr(0b1101111) + chr(50) + '\x36' + chr(2125 - 2073), 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b11101 + 0o122) + chr(0b110001) + chr(0b110101) + '\x34', 0b1000), ehT0Px3KOsy9(chr(1386 - 1338) + '\x6f' + '\063' + chr(52) + '\060', 0o10), ehT0Px3KOsy9(chr(788 - 740) + '\x6f' + chr(0b11011 + 0o30) + chr(48) + chr(48), 0o10), ehT0Px3KOsy9(chr(2019 - 1971) + '\x6f' + '\064' + '\065', 61145 - 61137), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(50) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4772 - 4661) + chr(2625 - 2572) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\x35' + chr(0b10010 + 0o42), 62704 - 62696), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(692 - 642) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(0b101001 + 0o10), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(573 - 522) + '\x36' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(1577 - 1529) + chr(0b1001110 + 0o41) + chr(0b1110 + 0o44) + chr(0b110010) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(5353 - 5242) + '\x31' + chr(52) + chr(0b100110 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b101011 + 0o104) + chr(0b1110 + 0o45) + chr(0b101111 + 0o1) + chr(2284 - 2236), 8), ehT0Px3KOsy9('\x30' + '\157' + '\061' + '\061' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(467 - 418) + chr(53) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5186 - 5075) + chr(0b11 + 0o56) + chr(0b1001 + 0o54) + chr(1147 - 1097), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(55) + chr(0b100011 + 0o24), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11100 + 0o25) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(0b110011) + '\x31' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10110 + 0o131) + chr(1632 - 1582) + chr(0b11111 + 0o22) + '\061', 0b1000), ehT0Px3KOsy9(chr(1253 - 1205) + '\x6f' + chr(0b1111 + 0o43) + chr(0b110000) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(1847 - 1736) + chr(0b110011) + chr(0b110100) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1011110 + 0o21) + chr(0b10111 + 0o34) + chr(51) + chr(931 - 882), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b110110), 8632 - 8624), ehT0Px3KOsy9(chr(1570 - 1522) + chr(111) + chr(1415 - 1365) + chr(702 - 652) + chr(0b10011 + 0o42), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(0b101000 + 0o13) + chr(261 - 212) + chr(0b11001 + 0o30), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(545 - 495) + chr(1163 - 1109) + chr(0b100 + 0o62), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b1100 + 0o51) + chr(0b110010), 26968 - 26960), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + '\x37' + '\063', 0b1000), ehT0Px3KOsy9(chr(1919 - 1871) + chr(0b1101111) + chr(50) + chr(0b110111) + '\x32', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + chr(1685 - 1632) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2'), '\144' + chr(1800 - 1699) + '\x63' + chr(111) + chr(4359 - 4259) + chr(0b100100 + 0o101))(chr(10267 - 10150) + '\164' + '\146' + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def oVrj_R6zWPl0(Ku4tjmYq4f9i, CHAOgk5VCHH_):
if PlSM16l2KDPD(Ku4tjmYq4f9i, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c{\\\xfd\xf1\x8a\xfd'), '\144' + '\145' + chr(0b1100011) + chr(0b1101111) + '\144' + chr(2326 - 2225))(chr(0b1010010 + 0o43) + chr(0b1001010 + 0o52) + chr(0b1001110 + 0o30) + '\x2d' + chr(56)))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xafkq\xdc\xd0\xad\xc3\x13'), '\x64' + '\145' + chr(7254 - 7155) + chr(3958 - 3847) + '\x64' + chr(3469 - 3368))(chr(6811 - 6694) + '\x74' + chr(0b1100110) + '\055' + chr(56))))):
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaFz\xde\xcc\xbb\xca\x04'), chr(7991 - 7891) + chr(0b1000101 + 0o40) + '\143' + chr(12165 - 12054) + '\x64' + chr(0b1100101))('\165' + chr(0b101110 + 0o106) + chr(1098 - 996) + chr(0b101101) + chr(0b111000)))(Ku4tjmYq4f9i, dtype=xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaXz\xd2\xd1\xf9\x9b'), chr(0b100100 + 0o100) + chr(3086 - 2985) + '\x63' + chr(111) + '\144' + '\x65')(chr(117) + '\164' + chr(102) + chr(0b10100 + 0o31) + chr(56))), count=CHAOgk5VCHH_)
else:
raise n0ZkatoveZpF(xafqLlk3kkUe(SXOLrMavuUCe(b'\x89Le\xd6\xc6\xbb\xca\x12\x94\x08\x8f\xb5G?H\xcc\xa2~\x98\xff\x16\xa5<'), chr(100) + chr(7674 - 7573) + '\143' + chr(0b10010 + 0o135) + '\x64' + chr(4615 - 4514))(chr(7051 - 6934) + chr(0b110001 + 0o103) + chr(0b100011 + 0o103) + '\x2d' + '\x38'))
|
Microsoft/LightGBM
|
python-package/lightgbm/basic.py
|
cint32_array_to_numpy
|
def cint32_array_to_numpy(cptr, length):
"""Convert a ctypes int pointer array to a numpy array."""
if isinstance(cptr, ctypes.POINTER(ctypes.c_int32)):
return np.fromiter(cptr, dtype=np.int32, count=length)
else:
raise RuntimeError('Expected int pointer')
|
python
|
def cint32_array_to_numpy(cptr, length):
"""Convert a ctypes int pointer array to a numpy array."""
if isinstance(cptr, ctypes.POINTER(ctypes.c_int32)):
return np.fromiter(cptr, dtype=np.int32, count=length)
else:
raise RuntimeError('Expected int pointer')
|
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] |
Convert a ctypes int pointer array to a numpy array.
|
[
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"a",
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"to",
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] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/basic.py#L103-L108
|
train
|
Convert a ctypes int pointer array to a numpy array.
|
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(1735 - 1687) + '\x6f' + chr(1248 - 1198) + '\x32' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(54), 9873 - 9865), ehT0Px3KOsy9(chr(1968 - 1920) + chr(0b1101111) + chr(0b110011) + '\067' + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(11143 - 11032) + chr(0b110010) + chr(53) + chr(0b10110 + 0o34), 19082 - 19074), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(0b110010) + '\x32', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110110) + chr(0b1001 + 0o52), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b10111 + 0o40) + chr(1710 - 1661), 0b1000), ehT0Px3KOsy9('\060' + chr(0b111110 + 0o61) + '\063' + chr(0b100000 + 0o21) + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(4185 - 4074) + chr(49) + '\x30' + '\066', 0o10), ehT0Px3KOsy9(chr(49 - 1) + chr(111) + '\x32' + chr(49) + '\060', 20405 - 20397), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11100 + 0o27) + chr(1735 - 1687) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110 + 0o55) + '\066' + '\060', 62567 - 62559), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(53) + chr(0b1001 + 0o50), 50089 - 50081), ehT0Px3KOsy9('\060' + '\x6f' + chr(55) + chr(52), 19059 - 19051), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(0b110000) + chr(1613 - 1565), ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b10001 + 0o136) + chr(0b11110 + 0o25) + chr(54) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(1314 - 1261) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11110 + 0o31) + chr(648 - 598), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + '\x32' + chr(0b110100) + chr(0b11001 + 0o36), ord("\x08")), ehT0Px3KOsy9(chr(2011 - 1963) + chr(0b1101111) + '\061' + '\x37' + chr(0b11011 + 0o34), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010011 + 0o34) + '\061' + '\064' + chr(0b111 + 0o54), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b101001 + 0o10) + '\x31' + chr(939 - 887), 0o10), ehT0Px3KOsy9(chr(166 - 118) + chr(2216 - 2105) + chr(0b101010 + 0o11) + chr(1644 - 1591) + chr(52), 20112 - 20104), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(0b11110 + 0o24) + chr(0b100001 + 0o17), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\x33' + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10001 + 0o40) + chr(52) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101011 + 0o4) + chr(49) + '\x37' + chr(0b100101 + 0o20), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b110101) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(52) + '\x37', 0b1000), ehT0Px3KOsy9(chr(601 - 553) + '\x6f' + chr(190 - 141) + '\067' + '\067', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2166 - 2115) + chr(53) + '\x30', 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2332 - 2281) + '\064' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + chr(0b110011 + 0o74) + chr(0b110000 + 0o1) + '\064' + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(0b111001 + 0o66) + '\x33' + chr(55) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\062' + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110110) + chr(1340 - 1285), 18927 - 18919), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(592 - 481) + chr(50) + chr(51) + chr(0b110000), 31343 - 31335), ehT0Px3KOsy9(chr(0b110000) + chr(0b110011 + 0o74) + chr(1176 - 1127) + chr(0b110001) + chr(2084 - 2035), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1011 - 961) + '\060' + '\067', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(444 - 391) + chr(0b1010 + 0o46), 5507 - 5499)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe'), '\144' + chr(0b1011011 + 0o12) + chr(8716 - 8617) + chr(0b1101111) + chr(0b1100010 + 0o2) + chr(101))(chr(117) + chr(116) + chr(0b1100110) + chr(619 - 574) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def edKSGdskUi7f(Ku4tjmYq4f9i, CHAOgk5VCHH_):
if PlSM16l2KDPD(Ku4tjmYq4f9i, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0Y\xb3\xe4\x86v+'), chr(2270 - 2170) + chr(101) + '\143' + chr(111) + chr(0b11010 + 0o112) + chr(2885 - 2784))(chr(117) + '\x74' + chr(0b1100110) + chr(45) + chr(56)))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3I\x93\xc4\xa6\x00K'), chr(100) + '\145' + '\x63' + chr(111) + '\144' + chr(1232 - 1131))(chr(0b101011 + 0o112) + '\164' + chr(0b111000 + 0o56) + chr(0b10000 + 0o35) + chr(56))))):
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6d\x95\xc7\xbbG\x1c\xba'), chr(0b1100100) + chr(0b1100101) + chr(99) + '\157' + chr(0b111101 + 0o47) + '\x65')(chr(0b1110101) + '\x74' + chr(6238 - 6136) + chr(45) + chr(1622 - 1566)))(Ku4tjmYq4f9i, dtype=xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9x\x8e\x99\xe0'), '\144' + '\145' + chr(8802 - 8703) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(117) + chr(116) + '\146' + '\x2d' + chr(0b111000))), count=CHAOgk5VCHH_)
else:
raise n0ZkatoveZpF(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5n\x8a\xcf\xb1G\x1c\xacf\xe1\xad\x84\x89L/\x9bGN\xc2\r'), chr(100) + '\145' + chr(0b111 + 0o134) + chr(8990 - 8879) + chr(100) + chr(0b1110 + 0o127))('\165' + '\164' + chr(8793 - 8691) + '\x2d' + '\x38'))
|
Microsoft/LightGBM
|
python-package/lightgbm/basic.py
|
cint8_array_to_numpy
|
def cint8_array_to_numpy(cptr, length):
"""Convert a ctypes int pointer array to a numpy array."""
if isinstance(cptr, ctypes.POINTER(ctypes.c_int8)):
return np.fromiter(cptr, dtype=np.int8, count=length)
else:
raise RuntimeError('Expected int pointer')
|
python
|
def cint8_array_to_numpy(cptr, length):
"""Convert a ctypes int pointer array to a numpy array."""
if isinstance(cptr, ctypes.POINTER(ctypes.c_int8)):
return np.fromiter(cptr, dtype=np.int8, count=length)
else:
raise RuntimeError('Expected int pointer')
|
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] |
Convert a ctypes int pointer array to a numpy array.
|
[
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] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/basic.py#L111-L116
|
train
|
Convert a ctypes int pointer array to a numpy array.
|
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(499 - 451) + chr(0b101111 + 0o100) + chr(0b110001) + chr(384 - 334) + chr(1594 - 1544), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(651 - 601) + chr(2209 - 2161) + chr(2314 - 2264), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000001 + 0o56) + chr(53) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + chr(0b111 + 0o54) + chr(54) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(52) + '\061', 26685 - 26677), ehT0Px3KOsy9('\060' + chr(0b111100 + 0o63) + chr(49) + chr(109 - 57), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x35' + chr(52), 0b1000), ehT0Px3KOsy9(chr(2069 - 2021) + chr(5982 - 5871) + '\062' + '\063' + '\x36', 21633 - 21625), ehT0Px3KOsy9('\060' + chr(111) + chr(55) + chr(254 - 200), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1001001 + 0o46) + chr(0b110010) + '\x30' + chr(53), 14220 - 14212), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\x32' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(58 - 10) + chr(111) + '\x31' + chr(0b11110 + 0o23) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(9117 - 9006) + '\063' + chr(0b110110) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3435 - 3324) + chr(0b10110 + 0o34) + chr(279 - 231), 39500 - 39492), ehT0Px3KOsy9(chr(1093 - 1045) + '\x6f' + chr(50) + chr(0b110010) + '\x33', 8), ehT0Px3KOsy9('\x30' + chr(0b1000010 + 0o55) + chr(1540 - 1490) + '\062' + chr(0b110010 + 0o0), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(54) + chr(0b100 + 0o62), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + chr(0b110010) + chr(49) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111111 + 0o60) + '\063' + '\061' + chr(54), 38788 - 38780), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x36' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + '\061' + chr(0b1 + 0o64) + chr(0b100011 + 0o16), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\x31' + chr(0b100001 + 0o25), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101110 + 0o2), 0o10), ehT0Px3KOsy9(chr(364 - 316) + '\x6f' + chr(50) + chr(0b110000) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(51) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(0b101110 + 0o3) + chr(52) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b110101) + chr(0b101000 + 0o15), 0o10), ehT0Px3KOsy9('\x30' + chr(7009 - 6898) + '\x31', 59406 - 59398), ehT0Px3KOsy9(chr(48) + chr(3602 - 3491) + '\x31' + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\065' + chr(1264 - 1209), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101000 + 0o17) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + '\063' + chr(0b110 + 0o52) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + '\067' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(891 - 841) + chr(0b1000 + 0o57) + '\062', 0b1000), ehT0Px3KOsy9(chr(271 - 223) + '\x6f' + chr(50) + chr(52) + chr(1978 - 1923), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2048 - 1999) + '\x33' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31', 8), ehT0Px3KOsy9(chr(700 - 652) + chr(111) + '\x31' + chr(0b110100) + chr(0b110 + 0o61), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100001 + 0o24) + '\x35', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b11001 + 0o126) + chr(53) + chr(0b110 + 0o52), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'|'), '\144' + chr(0b1011101 + 0o10) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(1048 - 947))('\x75' + chr(116) + '\146' + chr(304 - 259) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def kZVhU7B22WG4(Ku4tjmYq4f9i, CHAOgk5VCHH_):
if PlSM16l2KDPD(Ku4tjmYq4f9i, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x02\xcdf\xbf\xf5I~'), '\x64' + chr(1941 - 1840) + chr(99) + '\x6f' + chr(0b1100100) + chr(2362 - 2261))('\x75' + chr(4971 - 4855) + chr(0b1100110) + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'1\xddF\x9f\xd54'), '\144' + '\x65' + chr(99) + chr(111) + '\144' + chr(0b1001001 + 0o34))(chr(117) + '\x74' + chr(0b1011100 + 0o12) + '\x2d' + '\x38')))):
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'4\xf0@\x9c\xc8xI\xec'), '\x64' + chr(101) + chr(0b100000 + 0o103) + '\x6f' + chr(2660 - 2560) + chr(101))('\x75' + chr(5006 - 4890) + chr(102) + chr(0b101101) + chr(0b101001 + 0o17)))(Ku4tjmYq4f9i, dtype=xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b';\xec[\xc9'), chr(0b110111 + 0o55) + chr(0b10111 + 0o116) + chr(8331 - 8232) + '\157' + '\x64' + '\145')(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(45) + '\070')), count=CHAOgk5VCHH_)
else:
raise n0ZkatoveZpF(xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\xfa_\x94\xc2xI\xfa\x1e\xec\xfd;\xd5`\xfc\xfbxB\xef\xbc'), '\x64' + chr(0b11010 + 0o113) + chr(99) + '\x6f' + '\144' + chr(0b1010001 + 0o24))(chr(0b10011 + 0o142) + chr(0b1110100) + chr(102) + chr(45) + '\x38'))
|
Microsoft/LightGBM
|
python-package/lightgbm/basic.py
|
param_dict_to_str
|
def param_dict_to_str(data):
"""Convert Python dictionary to string, which is passed to C API."""
if data is None or not data:
return ""
pairs = []
for key, val in data.items():
if isinstance(val, (list, tuple, set)) or is_numpy_1d_array(val):
pairs.append(str(key) + '=' + ','.join(map(str, val)))
elif isinstance(val, string_type) or isinstance(val, numeric_types) or is_numeric(val):
pairs.append(str(key) + '=' + str(val))
elif val is not None:
raise TypeError('Unknown type of parameter:%s, got:%s'
% (key, type(val).__name__))
return ' '.join(pairs)
|
python
|
def param_dict_to_str(data):
"""Convert Python dictionary to string, which is passed to C API."""
if data is None or not data:
return ""
pairs = []
for key, val in data.items():
if isinstance(val, (list, tuple, set)) or is_numpy_1d_array(val):
pairs.append(str(key) + '=' + ','.join(map(str, val)))
elif isinstance(val, string_type) or isinstance(val, numeric_types) or is_numeric(val):
pairs.append(str(key) + '=' + str(val))
elif val is not None:
raise TypeError('Unknown type of parameter:%s, got:%s'
% (key, type(val).__name__))
return ' '.join(pairs)
|
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] |
Convert Python dictionary to string, which is passed to C API.
|
[
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"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/basic.py#L129-L142
|
train
|
Convert Python dictionary to string which is passed to C API.
|
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) + '\x32' + chr(0b110 + 0o61) + chr(0b10011 + 0o43), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2562 - 2510) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + chr(55) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b101001 + 0o106) + chr(0b110001) + chr(2489 - 2438) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1100000 + 0o17) + chr(0b110010) + '\061' + '\061', 0b1000), ehT0Px3KOsy9(chr(746 - 698) + '\x6f' + '\063' + '\062' + chr(54), 0o10), ehT0Px3KOsy9(chr(75 - 27) + chr(0b100100 + 0o113) + '\065' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11010 + 0o27) + chr(0b100011 + 0o20) + chr(0b11100 + 0o26), 0o10), ehT0Px3KOsy9(chr(1648 - 1600) + '\x6f' + chr(482 - 433) + chr(0b110001) + '\x37', 47524 - 47516), ehT0Px3KOsy9(chr(0b110000) + chr(3447 - 3336) + '\x32' + '\x35' + chr(0b110010 + 0o4), 51452 - 51444), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b110110) + chr(165 - 112), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110110) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(1192 - 1141) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(48) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101001 + 0o11) + chr(0b110100) + '\066', 21311 - 21303), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b11 + 0o61) + '\065', 0b1000), ehT0Px3KOsy9(chr(477 - 429) + '\x6f' + chr(0b110010) + chr(48) + chr(2623 - 2568), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + chr(50) + '\065' + chr(49), 61994 - 61986), ehT0Px3KOsy9(chr(0b110000) + chr(6481 - 6370) + chr(0b110011 + 0o1) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\066' + chr(0b10101 + 0o37), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + '\061' + chr(0b10000 + 0o40) + chr(0b1000 + 0o54), 1437 - 1429), ehT0Px3KOsy9(chr(48) + chr(11575 - 11464) + chr(1282 - 1233) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1011110 + 0o21) + chr(0b1 + 0o62) + '\063' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(532 - 483) + chr(0b1111 + 0o50), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(54) + chr(0b11111 + 0o21), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1564 - 1511) + '\065', 52162 - 52154), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + '\061' + chr(54) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3589 - 3478) + chr(229 - 179) + '\x35' + chr(0b110000), 31989 - 31981), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10 + 0o57) + '\063' + chr(262 - 208), 0o10), ehT0Px3KOsy9('\060' + chr(10917 - 10806) + chr(0b110010) + chr(49) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(0b110010) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(333 - 282) + chr(0b100011 + 0o15) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(221 - 169) + chr(54), 987 - 979), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110000 + 0o2) + chr(0b100 + 0o62) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(52) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(725 - 674) + chr(2699 - 2645) + '\x36', 0o10), ehT0Px3KOsy9(chr(2195 - 2147) + chr(111) + chr(0b11010 + 0o27) + chr(117 - 62) + chr(0b100111 + 0o20), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1 + 0o62) + chr(0b1001 + 0o47) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(54) + chr(0b11110 + 0o25), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065' + chr(0b10100 + 0o34), 18911 - 18903)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x90'), '\144' + chr(101) + chr(99) + chr(0b1101111) + chr(100) + chr(7419 - 7318))(chr(8345 - 8228) + '\x74' + chr(102) + chr(0b11100 + 0o21) + chr(264 - 208)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def fuXnGLR2RxQt(ULnjp6D6efFH):
if ULnjp6D6efFH is None or not ULnjp6D6efFH:
return xafqLlk3kkUe(SXOLrMavuUCe(b''), '\x64' + chr(0b10011 + 0o122) + chr(4201 - 4102) + chr(3947 - 3836) + chr(100) + chr(8420 - 8319))(chr(0b111001 + 0o74) + chr(6230 - 6114) + '\x66' + chr(0b101101) + chr(0b10110 + 0o42))
JcPsqTZgKo43 = []
for (K3J4ZwSlE0sT, pQxH2D_k9sXQ) in xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\\M>\xc0\x8c\x1a\x13#\xfd\xbd\x0f'), chr(4357 - 4257) + '\x65' + chr(0b101001 + 0o72) + chr(7687 - 7576) + chr(1046 - 946) + chr(0b111000 + 0o55))('\165' + chr(6992 - 6876) + chr(7226 - 7124) + '\x2d' + chr(2677 - 2621)))():
if PlSM16l2KDPD(pQxH2D_k9sXQ, (YyaZ4tpXu4lf, KNyTy8rYcwji, MVEN8G6CxlvR)) or AXLy646yoqyV(pQxH2D_k9sXQ):
xafqLlk3kkUe(JcPsqTZgKo43, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdfVK>\xe7\xb2'), chr(8688 - 8588) + '\145' + chr(0b1010011 + 0o20) + chr(0b1001010 + 0o45) + chr(100) + chr(9948 - 9847))('\x75' + '\x74' + chr(0b1100110) + chr(45) + '\x38'))(M8_cKLkHVB2V(K3J4ZwSlE0sT) + xafqLlk3kkUe(SXOLrMavuUCe(b'\x83'), '\144' + chr(101) + chr(99) + chr(1553 - 1442) + chr(7276 - 7176) + chr(0b1100101))(chr(117) + chr(116) + chr(102) + chr(45) + chr(0b111000)) + xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x92'), chr(0b1100100) + '\145' + chr(7667 - 7568) + chr(111) + chr(100) + '\x65')(chr(374 - 257) + '\164' + chr(5121 - 5019) + '\055' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4IR5'), chr(2477 - 2377) + chr(101) + '\x63' + '\x6f' + chr(0b1010110 + 0o16) + chr(7235 - 7134))('\165' + chr(0b111011 + 0o71) + chr(9417 - 9315) + chr(45) + '\x38'))(abA97kOQKaLo(M8_cKLkHVB2V, pQxH2D_k9sXQ)))
elif PlSM16l2KDPD(pQxH2D_k9sXQ, E3_9psoau2Vm) or PlSM16l2KDPD(pQxH2D_k9sXQ, _oZ7ToMS5xAg) or pbbOSas7jHx0(pQxH2D_k9sXQ):
xafqLlk3kkUe(JcPsqTZgKo43, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdfVK>\xe7\xb2'), chr(745 - 645) + chr(101) + '\x63' + '\x6f' + '\x64' + chr(0b1100101))(chr(0b1110010 + 0o3) + chr(0b10101 + 0o137) + chr(0b1100110) + chr(45) + chr(350 - 294)))(M8_cKLkHVB2V(K3J4ZwSlE0sT) + xafqLlk3kkUe(SXOLrMavuUCe(b'\x83'), '\144' + '\145' + chr(2524 - 2425) + chr(0b110110 + 0o71) + chr(100) + '\145')(chr(117) + chr(0b1000100 + 0o60) + '\x66' + chr(45) + chr(56)) + M8_cKLkHVB2V(pQxH2D_k9sXQ))
elif pQxH2D_k9sXQ is not None:
raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'\xebHP5\xe6\xa1Gz;\xd7\x85S\xfa\xed\xc0\x85\xf7\xc8RU)l\xaa\xaa\x02>\x08\x06\x84~\xe9=\xb1\\\x90\x91'), chr(8083 - 7983) + chr(0b11 + 0o142) + chr(0b111111 + 0o44) + '\x6f' + chr(0b1001110 + 0o26) + '\145')('\x75' + chr(0b1110100) + '\x66' + chr(2018 - 1973) + '\070') % (K3J4ZwSlE0sT, xafqLlk3kkUe(wmQmyeWBmUpv(pQxH2D_k9sXQ), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9D^1\xbd\xb9s+\x04\xe2\xb4\x00'), '\x64' + '\145' + chr(8039 - 7940) + chr(0b1101111) + chr(100) + '\145')(chr(0b100001 + 0o124) + chr(0b110011 + 0o101) + '\146' + '\055' + chr(0b10011 + 0o45)))))
return xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e'), chr(0b1100100) + chr(0b1100101) + '\143' + '\157' + '\x64' + chr(101))(chr(0b10110 + 0o137) + '\x74' + chr(0b11010 + 0o114) + '\x2d' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4IR5'), chr(0b1100100) + '\x65' + chr(5952 - 5853) + chr(0b1101111) + '\x64' + chr(9525 - 9424))('\x75' + chr(10959 - 10843) + chr(102) + '\055' + '\070'))(JcPsqTZgKo43)
|
Microsoft/LightGBM
|
python-package/lightgbm/basic.py
|
convert_from_sliced_object
|
def convert_from_sliced_object(data):
"""Fix the memory of multi-dimensional sliced object."""
if data.base is not None and isinstance(data, np.ndarray) and isinstance(data.base, np.ndarray):
if not data.flags.c_contiguous:
warnings.warn("Usage of np.ndarray subset (sliced data) is not recommended "
"due to it will double the peak memory cost in LightGBM.")
return np.copy(data)
return data
|
python
|
def convert_from_sliced_object(data):
"""Fix the memory of multi-dimensional sliced object."""
if data.base is not None and isinstance(data, np.ndarray) and isinstance(data.base, np.ndarray):
if not data.flags.c_contiguous:
warnings.warn("Usage of np.ndarray subset (sliced data) is not recommended "
"due to it will double the peak memory cost in LightGBM.")
return np.copy(data)
return data
|
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] |
Fix the memory of multi-dimensional sliced object.
|
[
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] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/basic.py#L203-L210
|
train
|
Fix the memory of multi - dimensional sliced object.
|
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(604 - 493) + '\063' + chr(0b11001 + 0o27) + chr(0b110010), 40412 - 40404), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + '\061' + chr(49), 0o10), ehT0Px3KOsy9(chr(2090 - 2042) + '\157' + chr(1180 - 1129) + chr(55) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(925 - 814) + chr(0b11100 + 0o25) + chr(451 - 397) + chr(1432 - 1379), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11110 + 0o121) + chr(52) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\060' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b101111 + 0o100) + chr(1214 - 1165) + chr(106 - 58) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b110 + 0o151) + chr(1609 - 1559) + chr(2684 - 2630) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(0b110010) + chr(0b1110 + 0o43), 0b1000), ehT0Px3KOsy9(chr(1121 - 1073) + chr(111) + chr(2040 - 1991) + chr(1414 - 1363) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5542 - 5431) + '\063' + '\062' + '\065', 12981 - 12973), ehT0Px3KOsy9(chr(48) + chr(0b100001 + 0o116) + chr(52) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6326 - 6215) + chr(0b11111 + 0o24) + chr(0b0 + 0o66) + chr(52), 0o10), ehT0Px3KOsy9(chr(1690 - 1642) + chr(0b1101111) + '\062' + chr(957 - 904) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1010 + 0o47) + '\x37' + chr(0b11110 + 0o24), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(878 - 826) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(50) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(1716 - 1668) + chr(0b1100000 + 0o17) + '\x33' + '\x32', 39147 - 39139), ehT0Px3KOsy9(chr(939 - 891) + chr(0b10111 + 0o130) + chr(51) + chr(49) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1 + 0o61) + '\063' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + '\x33' + chr(0b110010) + chr(0b110010), 53168 - 53160), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\067' + chr(0b10111 + 0o31), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1000011 + 0o54) + chr(0b101010 + 0o11) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110000 + 0o77) + chr(734 - 684) + '\061' + chr(594 - 546), 12310 - 12302), ehT0Px3KOsy9('\060' + chr(1536 - 1425) + chr(0b110011) + '\061', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(0b110011) + '\x32', 45881 - 45873), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + '\063' + chr(758 - 705) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(524 - 475) + chr(0b10011 + 0o44), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(0b101111 + 0o3) + chr(1788 - 1740), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101100 + 0o3) + chr(0b101111 + 0o2) + '\066' + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2485 - 2435) + chr(0b1101 + 0o46) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + chr(0b100000 + 0o23) + '\067' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\067' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(1532 - 1482) + chr(2304 - 2252) + '\x37', 47047 - 47039), ehT0Px3KOsy9(chr(2139 - 2091) + '\157' + chr(0b110010) + chr(0b110011) + chr(1292 - 1243), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\062' + '\x31', 0b1000), ehT0Px3KOsy9(chr(1662 - 1614) + chr(0b1101111) + chr(0b100011 + 0o17) + chr(0b110101) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(618 - 564) + '\x30', 8587 - 8579), ehT0Px3KOsy9('\060' + '\x6f' + chr(2293 - 2243) + '\064' + chr(816 - 767), 8), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b110111) + '\x36', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101101 + 0o2) + '\065' + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xec'), chr(9976 - 9876) + '\145' + chr(0b11111 + 0o104) + '\x6f' + '\x64' + chr(101))(chr(9037 - 8920) + '\164' + '\x66' + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def kYovvC7zFGm8(ULnjp6D6efFH):
if xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0h\x8c\x10'), chr(0b1100 + 0o130) + chr(0b1100101) + chr(99) + chr(0b1101001 + 0o6) + chr(8427 - 8327) + chr(0b11110 + 0o107))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\x2d' + chr(0b111000))) is not None and PlSM16l2KDPD(ULnjp6D6efFH, xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xacm\x9e\x07P\xe4<'), '\144' + chr(0b100110 + 0o77) + chr(99) + chr(0b1101111) + chr(0b11110 + 0o106) + chr(0b1011010 + 0o13))(chr(0b10110 + 0o137) + chr(116) + chr(102) + '\x2d' + '\070'))) and PlSM16l2KDPD(xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0h\x8c\x10'), '\144' + chr(8114 - 8013) + '\143' + chr(0b1101111) + chr(4132 - 4032) + chr(9119 - 9018))(chr(3861 - 3744) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(0b101111 + 0o11))), xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xacm\x9e\x07P\xe4<'), '\x64' + '\x65' + chr(0b1011100 + 0o7) + chr(10837 - 10726) + chr(100) + '\145')('\165' + '\164' + chr(102) + '\055' + chr(0b1001 + 0o57)))):
if not xafqLlk3kkUe(ULnjp6D6efFH.flags, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1V\x9c\x1aL\xf1,\xd4\xe46\xa0P'), chr(0b1100100) + chr(101) + chr(5312 - 5213) + chr(111) + '\x64' + chr(0b1000110 + 0o37))('\x75' + chr(10747 - 10631) + chr(2219 - 2117) + chr(0b11111 + 0o16) + chr(56))):
xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xacM\xba\x1bl\xc7$\xd1\xd7\x17\x9eN'), '\x64' + '\x65' + chr(99) + '\157' + chr(100) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(4811 - 4709) + '\x2d' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x97z\x9e\x12G\xa5*\xd5\xb17\xa5\r\x9a\xcb\x1b\xd3!{\xb5\xbb\xa1M{\xfb|\xae\xcc\xe7\xe3\x1f\xf1\x9a\xdc\xc3\xb95\xca\x84\xc0W\xe2`\x8cUL\xea1\x93\xe3<\xb6L\x99\xc2\x1f\xcf7\x7f\xa8\xbb\xb6M|\xa8m\xb5\xcc\xa6\xe4S\xef\x90\xd5\xcb\xb95\xc4\x85\xc3\x12\xa7)\x8b\x1dG\xa55\xd6\xf02\xf5N\x91\xc2\x15\xd3*:\xaf\xf4\xa1L9\xe1w\xfa\xa0\xa6\xf7\x1b\xec\xbe\xfb\xea\xb7'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(0b10011 + 0o134) + chr(0b1000110 + 0o36) + chr(0b101101 + 0o70))(chr(0b10110 + 0o137) + chr(2218 - 2102) + chr(0b1100110) + chr(0b101101) + chr(56)))
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xabn\xab\x1dj\xd6q\xd9\xe6\x0f\xa6B'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(9642 - 9531) + '\144' + '\145')('\165' + chr(0b1110100) + '\x66' + chr(45) + chr(0b111000)))(ULnjp6D6efFH)
return ULnjp6D6efFH
|
Microsoft/LightGBM
|
python-package/lightgbm/basic.py
|
c_float_array
|
def c_float_array(data):
"""Get pointer of float numpy array / list."""
if is_1d_list(data):
data = np.array(data, copy=False)
if is_numpy_1d_array(data):
data = convert_from_sliced_object(data)
assert data.flags.c_contiguous
if data.dtype == np.float32:
ptr_data = data.ctypes.data_as(ctypes.POINTER(ctypes.c_float))
type_data = C_API_DTYPE_FLOAT32
elif data.dtype == np.float64:
ptr_data = data.ctypes.data_as(ctypes.POINTER(ctypes.c_double))
type_data = C_API_DTYPE_FLOAT64
else:
raise TypeError("Expected np.float32 or np.float64, met type({})"
.format(data.dtype))
else:
raise TypeError("Unknown type({})".format(type(data).__name__))
return (ptr_data, type_data, data)
|
python
|
def c_float_array(data):
"""Get pointer of float numpy array / list."""
if is_1d_list(data):
data = np.array(data, copy=False)
if is_numpy_1d_array(data):
data = convert_from_sliced_object(data)
assert data.flags.c_contiguous
if data.dtype == np.float32:
ptr_data = data.ctypes.data_as(ctypes.POINTER(ctypes.c_float))
type_data = C_API_DTYPE_FLOAT32
elif data.dtype == np.float64:
ptr_data = data.ctypes.data_as(ctypes.POINTER(ctypes.c_double))
type_data = C_API_DTYPE_FLOAT64
else:
raise TypeError("Expected np.float32 or np.float64, met type({})"
.format(data.dtype))
else:
raise TypeError("Unknown type({})".format(type(data).__name__))
return (ptr_data, type_data, data)
|
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] |
Get pointer of float numpy array / list.
|
[
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"pointer",
"of",
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"numpy",
"array",
"/",
"list",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/basic.py#L213-L231
|
train
|
Get pointer of float numpy array / list.
|
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(8587 - 8476) + chr(0b11110 + 0o24) + chr(0b110100) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + '\067' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b101110 + 0o11) + '\x30', 28704 - 28696), ehT0Px3KOsy9('\x30' + chr(1578 - 1467) + chr(815 - 766) + chr(0b1 + 0o61) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b110111) + chr(2510 - 2458), 35655 - 35647), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b1001 + 0o51) + chr(0b110111), 28853 - 28845), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b110011) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(48) + '\060', 14681 - 14673), ehT0Px3KOsy9(chr(1577 - 1529) + '\x6f' + chr(0b110010) + '\063' + chr(0b110001), 14559 - 14551), ehT0Px3KOsy9('\060' + '\157' + '\x31' + '\x32' + chr(2631 - 2579), 8), ehT0Px3KOsy9(chr(48) + chr(10260 - 10149) + chr(51) + chr(50) + chr(1422 - 1372), 53965 - 53957), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(0b10100 + 0o36) + '\065' + chr(0b110010), 31626 - 31618), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110110) + chr(0b11100 + 0o32), 8001 - 7993), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(600 - 489) + chr(0b110001) + '\x37' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1011 + 0o46) + chr(0b1000 + 0o54) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(0b110 + 0o54) + '\x32' + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11010 + 0o34) + chr(1174 - 1120), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\060' + chr(2030 - 1981), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\066', 15639 - 15631), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(2107 - 1996) + '\067' + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(0b110110 + 0o1) + chr(600 - 551), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b11110 + 0o27) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b110101 + 0o72) + chr(50) + '\x33' + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x37' + chr(1271 - 1220), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\060' + chr(1097 - 1044), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b101000 + 0o16), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2054 - 2005) + chr(1736 - 1687) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(5773 - 5662) + chr(1944 - 1889) + '\064', 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b110011 + 0o74) + '\065' + chr(0b11110 + 0o24), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11558 - 11447) + chr(322 - 272) + '\066', 8), ehT0Px3KOsy9('\x30' + chr(9354 - 9243) + chr(0b100111 + 0o17) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1352 - 1241) + chr(2509 - 2458) + chr(0b1 + 0o64) + chr(2764 - 2709), 0b1000), ehT0Px3KOsy9(chr(126 - 78) + chr(111) + '\x31' + '\067' + chr(2256 - 2201), 8), ehT0Px3KOsy9(chr(1926 - 1878) + chr(0b100011 + 0o114) + chr(49) + chr(55) + chr(54), 776 - 768), ehT0Px3KOsy9('\060' + '\157' + chr(269 - 219) + chr(505 - 452) + chr(0b1001 + 0o55), 55616 - 55608), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(0b1100 + 0o44) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(10951 - 10840) + chr(0b1000 + 0o52) + '\065' + '\061', 13153 - 13145), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1003 - 954) + chr(455 - 407) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11347 - 11236) + chr(0b101010 + 0o10) + '\061' + chr(0b101100 + 0o4), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101101 + 0o2) + 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'\x8a'), chr(0b1001111 + 0o25) + '\145' + chr(0b11101 + 0o106) + chr(0b1101111) + '\x64' + chr(0b1100101))('\x75' + chr(116) + '\146' + chr(45) + chr(2133 - 2077)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def aE3U0E0rKI4Q(ULnjp6D6efFH):
if s22gOsgCNzrN(ULnjp6D6efFH):
ULnjp6D6efFH = WqUC3KWvYVup.B0ePDhpqxN5n(ULnjp6D6efFH, copy=ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1011 + 0o45), 62978 - 62970))
if AXLy646yoqyV(ULnjp6D6efFH):
ULnjp6D6efFH = kYovvC7zFGm8(ULnjp6D6efFH)
assert xafqLlk3kkUe(ULnjp6D6efFH.flags, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\xe0\x1b;g\xc8>\xff\xf5\xf6!\xa1'), chr(0b1100100) + chr(0b1100101) + chr(1460 - 1361) + chr(0b1101111) + chr(0b100 + 0o140) + '\x65')('\165' + '\x74' + chr(9926 - 9824) + chr(0b101001 + 0o4) + chr(0b101100 + 0o14)))
if xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xce\xec.m@\xf79\xfd\xed\xd1c\x99'), '\144' + chr(101) + '\x63' + chr(111) + '\x64' + chr(101))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(0b101101) + '\x38')) == xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xd3\x175}\x8fe'), chr(100) + chr(101) + chr(99) + '\x6f' + chr(100) + chr(0b1100101))(chr(3980 - 3863) + chr(0b1110100) + '\146' + chr(0b100111 + 0o6) + chr(0b111000))):
CpHPNNBVusHU = ULnjp6D6efFH.ctypes.data_as(RyQ4N1viUrfz.POINTER(RyQ4N1viUrfz.c_float))
Svi9DtEZkhbQ = ogZ6rWEry34_
elif xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xce\xec.m@\xf79\xfd\xed\xd1c\x99'), chr(100) + chr(6837 - 6736) + chr(9295 - 9196) + chr(111) + '\x64' + chr(0b1100101))(chr(0b1010000 + 0o45) + chr(116) + '\x66' + chr(0b101101) + chr(0b111000))) == xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xd3\x175}\x8ac'), chr(100) + chr(0b1100101) + chr(99) + chr(0b101101 + 0o102) + chr(0b1100100) + '\x65')(chr(117) + chr(3105 - 2989) + chr(7484 - 7382) + '\055' + '\070')):
CpHPNNBVusHU = ULnjp6D6efFH.ctypes.data_as(RyQ4N1viUrfz.POINTER(RyQ4N1viUrfz.c_double))
Svi9DtEZkhbQ = QFfnnAKLimTo
else:
raise sznFqDbNBHlx(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xc7\x081j\xc82\xfc\xa0\xf7$\xfc\xccZ\x10\x03\xe1\x05\xf3.Q\x0b\x88\xf2K\xebp SKb\x05\xdbS^\xc3%\xddb\xfc\xdd\xcf\x1d|r\xc1~'), chr(5078 - 4978) + chr(101) + chr(99) + chr(111) + chr(100) + chr(330 - 229))(chr(0b10000 + 0o145) + '\x74' + '\146' + '\055' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\x8b\n;A\xdd\x04\xab\xd0\xe91\xb8'), '\x64' + chr(1064 - 963) + '\x63' + '\x6f' + '\144' + '\145')(chr(0b1000000 + 0o65) + '\164' + chr(0b100101 + 0o101) + chr(45) + chr(0b100 + 0o64)))(xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xce\xec.m@\xf79\xfd\xed\xd1c\x99'), chr(7999 - 7899) + '\145' + chr(99) + chr(9632 - 9521) + chr(100) + '\145')('\x75' + chr(0b1110100) + chr(102) + chr(1225 - 1180) + '\x38'))))
else:
raise sznFqDbNBHlx(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1\xd1\x13:f\xcb9\xb8\xf4\xe0$\xb7\x82M\x02K'), '\144' + chr(9412 - 9311) + chr(8324 - 8225) + chr(111) + '\x64' + '\145')(chr(117) + chr(0b100011 + 0o121) + '\146' + chr(0b1110 + 0o37) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\x8b\n;A\xdd\x04\xab\xd0\xe91\xb8'), '\x64' + chr(6778 - 6677) + '\x63' + chr(0b1101111) + '\144' + chr(0b1100101))(chr(117) + chr(11225 - 11109) + '\146' + chr(0b101101) + chr(0b10010 + 0o46)))(xafqLlk3kkUe(wmQmyeWBmUpv(ULnjp6D6efFH), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\xdd\x1d>=\xd3\r\xe9\xcb\xd5\x15\xe4'), chr(0b110011 + 0o61) + '\x65' + chr(0b1001001 + 0o32) + chr(0b1101111) + chr(100) + chr(7868 - 7767))('\165' + '\x74' + chr(0b100111 + 0o77) + chr(0b111 + 0o46) + chr(56)))))
return (CpHPNNBVusHU, Svi9DtEZkhbQ, ULnjp6D6efFH)
|
Microsoft/LightGBM
|
python-package/lightgbm/basic.py
|
c_int_array
|
def c_int_array(data):
"""Get pointer of int numpy array / list."""
if is_1d_list(data):
data = np.array(data, copy=False)
if is_numpy_1d_array(data):
data = convert_from_sliced_object(data)
assert data.flags.c_contiguous
if data.dtype == np.int32:
ptr_data = data.ctypes.data_as(ctypes.POINTER(ctypes.c_int32))
type_data = C_API_DTYPE_INT32
elif data.dtype == np.int64:
ptr_data = data.ctypes.data_as(ctypes.POINTER(ctypes.c_int64))
type_data = C_API_DTYPE_INT64
else:
raise TypeError("Expected np.int32 or np.int64, met type({})"
.format(data.dtype))
else:
raise TypeError("Unknown type({})".format(type(data).__name__))
return (ptr_data, type_data, data)
|
python
|
def c_int_array(data):
"""Get pointer of int numpy array / list."""
if is_1d_list(data):
data = np.array(data, copy=False)
if is_numpy_1d_array(data):
data = convert_from_sliced_object(data)
assert data.flags.c_contiguous
if data.dtype == np.int32:
ptr_data = data.ctypes.data_as(ctypes.POINTER(ctypes.c_int32))
type_data = C_API_DTYPE_INT32
elif data.dtype == np.int64:
ptr_data = data.ctypes.data_as(ctypes.POINTER(ctypes.c_int64))
type_data = C_API_DTYPE_INT64
else:
raise TypeError("Expected np.int32 or np.int64, met type({})"
.format(data.dtype))
else:
raise TypeError("Unknown type({})".format(type(data).__name__))
return (ptr_data, type_data, data)
|
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] |
Get pointer of int numpy array / list.
|
[
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"/",
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"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/basic.py#L234-L252
|
train
|
Get pointer of int numpy array / list.
|
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(111) + '\062' + '\x33' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(2060 - 2012) + chr(642 - 531) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + '\061' + chr(0b110 + 0o55) + '\x33', 15925 - 15917), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1001 + 0o51) + '\067' + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b101110 + 0o101) + chr(0b1100 + 0o47) + chr(54) + '\063', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(1685 - 1636) + '\064' + '\062', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\067' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1811 - 1763) + '\x6f' + chr(0b110011) + chr(52) + chr(2518 - 2467), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(55) + chr(180 - 126), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(1160 - 1111) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(55) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1036 - 925) + chr(51) + '\x32' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(357 - 309) + '\x6f' + '\x33' + '\062' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x37' + '\060', 54263 - 54255), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(0b110101) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + '\x36' + chr(0b110111), 14619 - 14611), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(1686 - 1632) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(3594 - 3483) + '\x34' + '\061', 43035 - 43027), ehT0Px3KOsy9(chr(0b110000) + chr(756 - 645) + chr(51) + chr(0b11001 + 0o32) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(51) + chr(0b110110), 5034 - 5026), ehT0Px3KOsy9('\060' + chr(0b1011 + 0o144) + chr(50) + chr(1780 - 1726) + chr(1123 - 1075), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b110111) + chr(53), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1244 - 1194) + chr(0b110101), 40917 - 40909), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + '\x33' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\x33' + chr(0b110011), 8), ehT0Px3KOsy9(chr(582 - 534) + '\157' + '\x31' + chr(0b11 + 0o57) + '\060', 31608 - 31600), ehT0Px3KOsy9('\x30' + '\157' + chr(2587 - 2535) + chr(2595 - 2542), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(51) + chr(531 - 480), 49024 - 49016), ehT0Px3KOsy9(chr(869 - 821) + chr(111) + chr(0b1001 + 0o52) + chr(2050 - 2001) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1100 + 0o46) + chr(0b110011) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\x32' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + chr(54) + chr(1132 - 1084), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + chr(0b101101 + 0o4) + chr(0b110110) + '\062', 0b1000), ehT0Px3KOsy9(chr(1919 - 1871) + '\157' + chr(0b110001) + chr(54), 31517 - 31509), ehT0Px3KOsy9(chr(319 - 271) + '\157' + chr(51) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\060' + chr(0b100101 + 0o21), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(54) + chr(631 - 581), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(0b110010) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2554 - 2443) + '\x33' + chr(53) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + '\x32' + '\x35', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x35' + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5'), chr(100) + chr(101) + '\x63' + '\157' + chr(100) + chr(0b1001111 + 0o26))(chr(0b1110101) + chr(116) + '\x66' + chr(452 - 407) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def HejncvTt92yQ(ULnjp6D6efFH):
if s22gOsgCNzrN(ULnjp6D6efFH):
ULnjp6D6efFH = WqUC3KWvYVup.B0ePDhpqxN5n(ULnjp6D6efFH, copy=ehT0Px3KOsy9('\x30' + chr(0b1001100 + 0o43) + chr(0b1000 + 0o50), 14895 - 14887))
if AXLy646yoqyV(ULnjp6D6efFH):
ULnjp6D6efFH = kYovvC7zFGm8(ULnjp6D6efFH)
assert xafqLlk3kkUe(ULnjp6D6efFH.flags, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8X8\xd3\x9d\x16\x94\x84\xcb!\xc8\xa6'), '\144' + chr(0b101111 + 0o66) + chr(1503 - 1404) + chr(7649 - 7538) + '\x64' + '\145')(chr(117) + '\x74' + '\x66' + chr(45) + chr(756 - 700)))
if xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1T\r\x85\xba)\x93\x86\xd3\x06\x8a\x9e'), chr(100) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(6052 - 5951))(chr(0b1110101) + '\164' + chr(102) + chr(45) + chr(0b101101 + 0o13))) == xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2i/\x8f\xc1'), chr(100) + chr(0b1100101) + '\143' + '\157' + chr(100) + chr(8435 - 8334))(chr(117) + '\x74' + chr(7079 - 6977) + chr(45) + '\x38')):
CpHPNNBVusHU = ULnjp6D6efFH.ctypes.data_as(RyQ4N1viUrfz.POINTER(RyQ4N1viUrfz.c_int32))
Svi9DtEZkhbQ = WY3vteTZQr7N
elif xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1T\r\x85\xba)\x93\x86\xd3\x06\x8a\x9e'), chr(0b1100100) + '\145' + chr(99) + '\x6f' + chr(100) + chr(101))('\165' + '\x74' + '\146' + chr(45) + chr(0b111000))) == xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2i/\x8a\xc7'), chr(0b1000001 + 0o43) + chr(780 - 679) + chr(169 - 70) + chr(0b1000010 + 0o55) + chr(100) + chr(0b1100101))('\x75' + chr(0b1100000 + 0o24) + '\x66' + '\055' + '\x38')):
CpHPNNBVusHU = ULnjp6D6efFH.ctypes.data_as(RyQ4N1viUrfz.POINTER(RyQ4N1viUrfz.c_int64))
Svi9DtEZkhbQ = QLpeNmOaCIYn
else:
raise sznFqDbNBHlx(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\x7f+\xd9\x90\x16\x98\x87\x9e \xcd\xfb\xb9V\xd8\xc4\x04\x01\xb5,\x90\xd3e3\xf2>Q\xed\xfa\xb2u]\x17z;2K\xe3\x88=\xe0zr'), chr(0b1100100) + '\145' + chr(0b1100011) + '\157' + chr(5438 - 5338) + '\x65')('\165' + chr(0b101001 + 0o113) + chr(0b1110 + 0o130) + chr(0b101101) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd3)\xd3\xbb\x03\xae\xd0\xee>\xd8\xbf'), chr(0b1100100) + chr(101) + chr(0b1011000 + 0o13) + chr(3129 - 3018) + '\x64' + chr(9551 - 9450))(chr(0b1110101) + chr(0b1100101 + 0o17) + '\146' + chr(1376 - 1331) + chr(0b10010 + 0o46)))(xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1T\r\x85\xba)\x93\x86\xd3\x06\x8a\x9e'), chr(0b1100100) + chr(101) + chr(0b1100011) + '\x6f' + chr(6704 - 6604) + '\145')('\x75' + chr(116) + chr(0b1100110) + chr(45) + '\x38'))))
else:
raise sznFqDbNBHlx(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xcei0\xd2\x9c\x15\x93\xc3\xca7\xcd\xb0\xf8C\xd1\xde'), chr(0b1100011 + 0o1) + chr(0b1100101) + '\x63' + chr(0b100100 + 0o113) + chr(0b1100100) + chr(5843 - 5742))('\x75' + chr(2365 - 2249) + chr(102) + '\x2d' + chr(1579 - 1523)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd3)\xd3\xbb\x03\xae\xd0\xee>\xd8\xbf'), chr(4731 - 4631) + '\145' + '\x63' + chr(7827 - 7716) + chr(4677 - 4577) + '\145')(chr(117) + chr(0b111110 + 0o66) + chr(0b100110 + 0o100) + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(wmQmyeWBmUpv(ULnjp6D6efFH), xafqLlk3kkUe(SXOLrMavuUCe(b'\xdce>\xd6\xc7\r\xa7\x92\xf5\x02\xfc\xe3'), '\x64' + '\x65' + '\143' + chr(0b10000 + 0o137) + '\144' + chr(0b1100101))(chr(13621 - 13504) + '\164' + '\x66' + chr(0b1011 + 0o42) + chr(1762 - 1706)))))
return (CpHPNNBVusHU, Svi9DtEZkhbQ, ULnjp6D6efFH)
|
Microsoft/LightGBM
|
python-package/lightgbm/basic.py
|
_InnerPredictor.predict
|
def predict(self, data, num_iteration=-1,
raw_score=False, pred_leaf=False, pred_contrib=False, data_has_header=False,
is_reshape=True):
"""Predict logic.
Parameters
----------
data : string, numpy array, pandas DataFrame, H2O DataTable's Frame or scipy.sparse
Data source for prediction.
When data type is string, it represents the path of txt file.
num_iteration : int, optional (default=-1)
Iteration used for prediction.
raw_score : bool, optional (default=False)
Whether to predict raw scores.
pred_leaf : bool, optional (default=False)
Whether to predict leaf index.
pred_contrib : bool, optional (default=False)
Whether to predict feature contributions.
data_has_header : bool, optional (default=False)
Whether data has header.
Used only for txt data.
is_reshape : bool, optional (default=True)
Whether to reshape to (nrow, ncol).
Returns
-------
result : numpy array
Prediction result.
"""
if isinstance(data, Dataset):
raise TypeError("Cannot use Dataset instance for prediction, please use raw data instead")
data = _data_from_pandas(data, None, None, self.pandas_categorical)[0]
predict_type = C_API_PREDICT_NORMAL
if raw_score:
predict_type = C_API_PREDICT_RAW_SCORE
if pred_leaf:
predict_type = C_API_PREDICT_LEAF_INDEX
if pred_contrib:
predict_type = C_API_PREDICT_CONTRIB
int_data_has_header = 1 if data_has_header else 0
if num_iteration > self.num_total_iteration:
num_iteration = self.num_total_iteration
if isinstance(data, string_type):
with _TempFile() as f:
_safe_call(_LIB.LGBM_BoosterPredictForFile(
self.handle,
c_str(data),
ctypes.c_int(int_data_has_header),
ctypes.c_int(predict_type),
ctypes.c_int(num_iteration),
c_str(self.pred_parameter),
c_str(f.name)))
lines = f.readlines()
nrow = len(lines)
preds = [float(token) for line in lines for token in line.split('\t')]
preds = np.array(preds, dtype=np.float64, copy=False)
elif isinstance(data, scipy.sparse.csr_matrix):
preds, nrow = self.__pred_for_csr(data, num_iteration, predict_type)
elif isinstance(data, scipy.sparse.csc_matrix):
preds, nrow = self.__pred_for_csc(data, num_iteration, predict_type)
elif isinstance(data, np.ndarray):
preds, nrow = self.__pred_for_np2d(data, num_iteration, predict_type)
elif isinstance(data, list):
try:
data = np.array(data)
except BaseException:
raise ValueError('Cannot convert data list to numpy array.')
preds, nrow = self.__pred_for_np2d(data, num_iteration, predict_type)
elif isinstance(data, DataTable):
preds, nrow = self.__pred_for_np2d(data.to_numpy(), num_iteration, predict_type)
else:
try:
warnings.warn('Converting data to scipy sparse matrix.')
csr = scipy.sparse.csr_matrix(data)
except BaseException:
raise TypeError('Cannot predict data for type {}'.format(type(data).__name__))
preds, nrow = self.__pred_for_csr(csr, num_iteration, predict_type)
if pred_leaf:
preds = preds.astype(np.int32)
if is_reshape and preds.size != nrow:
if preds.size % nrow == 0:
preds = preds.reshape(nrow, -1)
else:
raise ValueError('Length of predict result (%d) cannot be divide nrow (%d)'
% (preds.size, nrow))
return preds
|
python
|
def predict(self, data, num_iteration=-1,
raw_score=False, pred_leaf=False, pred_contrib=False, data_has_header=False,
is_reshape=True):
"""Predict logic.
Parameters
----------
data : string, numpy array, pandas DataFrame, H2O DataTable's Frame or scipy.sparse
Data source for prediction.
When data type is string, it represents the path of txt file.
num_iteration : int, optional (default=-1)
Iteration used for prediction.
raw_score : bool, optional (default=False)
Whether to predict raw scores.
pred_leaf : bool, optional (default=False)
Whether to predict leaf index.
pred_contrib : bool, optional (default=False)
Whether to predict feature contributions.
data_has_header : bool, optional (default=False)
Whether data has header.
Used only for txt data.
is_reshape : bool, optional (default=True)
Whether to reshape to (nrow, ncol).
Returns
-------
result : numpy array
Prediction result.
"""
if isinstance(data, Dataset):
raise TypeError("Cannot use Dataset instance for prediction, please use raw data instead")
data = _data_from_pandas(data, None, None, self.pandas_categorical)[0]
predict_type = C_API_PREDICT_NORMAL
if raw_score:
predict_type = C_API_PREDICT_RAW_SCORE
if pred_leaf:
predict_type = C_API_PREDICT_LEAF_INDEX
if pred_contrib:
predict_type = C_API_PREDICT_CONTRIB
int_data_has_header = 1 if data_has_header else 0
if num_iteration > self.num_total_iteration:
num_iteration = self.num_total_iteration
if isinstance(data, string_type):
with _TempFile() as f:
_safe_call(_LIB.LGBM_BoosterPredictForFile(
self.handle,
c_str(data),
ctypes.c_int(int_data_has_header),
ctypes.c_int(predict_type),
ctypes.c_int(num_iteration),
c_str(self.pred_parameter),
c_str(f.name)))
lines = f.readlines()
nrow = len(lines)
preds = [float(token) for line in lines for token in line.split('\t')]
preds = np.array(preds, dtype=np.float64, copy=False)
elif isinstance(data, scipy.sparse.csr_matrix):
preds, nrow = self.__pred_for_csr(data, num_iteration, predict_type)
elif isinstance(data, scipy.sparse.csc_matrix):
preds, nrow = self.__pred_for_csc(data, num_iteration, predict_type)
elif isinstance(data, np.ndarray):
preds, nrow = self.__pred_for_np2d(data, num_iteration, predict_type)
elif isinstance(data, list):
try:
data = np.array(data)
except BaseException:
raise ValueError('Cannot convert data list to numpy array.')
preds, nrow = self.__pred_for_np2d(data, num_iteration, predict_type)
elif isinstance(data, DataTable):
preds, nrow = self.__pred_for_np2d(data.to_numpy(), num_iteration, predict_type)
else:
try:
warnings.warn('Converting data to scipy sparse matrix.')
csr = scipy.sparse.csr_matrix(data)
except BaseException:
raise TypeError('Cannot predict data for type {}'.format(type(data).__name__))
preds, nrow = self.__pred_for_csr(csr, num_iteration, predict_type)
if pred_leaf:
preds = preds.astype(np.int32)
if is_reshape and preds.size != nrow:
if preds.size % nrow == 0:
preds = preds.reshape(nrow, -1)
else:
raise ValueError('Length of predict result (%d) cannot be divide nrow (%d)'
% (preds.size, nrow))
return preds
|
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] |
Predict logic.
Parameters
----------
data : string, numpy array, pandas DataFrame, H2O DataTable's Frame or scipy.sparse
Data source for prediction.
When data type is string, it represents the path of txt file.
num_iteration : int, optional (default=-1)
Iteration used for prediction.
raw_score : bool, optional (default=False)
Whether to predict raw scores.
pred_leaf : bool, optional (default=False)
Whether to predict leaf index.
pred_contrib : bool, optional (default=False)
Whether to predict feature contributions.
data_has_header : bool, optional (default=False)
Whether data has header.
Used only for txt data.
is_reshape : bool, optional (default=True)
Whether to reshape to (nrow, ncol).
Returns
-------
result : numpy array
Prediction result.
|
[
"Predict",
"logic",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/basic.py#L417-L503
|
train
|
Predicts the current state of an object.
|
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(2775 - 2664) + chr(0b10011 + 0o40) + chr(0b110001) + chr(650 - 602), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + '\063' + chr(0b11 + 0o63) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\060' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(227 - 116) + chr(2070 - 2021) + '\x37' + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10110 + 0o35) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(1324 - 1276) + chr(111) + chr(1963 - 1912) + chr(0b110101) + chr(1960 - 1911), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111101 + 0o62) + chr(49) + chr(1717 - 1665) + '\064', 29565 - 29557), ehT0Px3KOsy9(chr(1721 - 1673) + '\157' + chr(1404 - 1353) + chr(0b101 + 0o56) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(1807 - 1759) + '\x6f' + chr(0b100011 + 0o20) + '\x36' + chr(1655 - 1600), 52604 - 52596), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + '\061' + chr(48), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(1207 - 1157) + chr(49) + chr(0b110010 + 0o1), 61986 - 61978), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\x32' + chr(50), 0o10), ehT0Px3KOsy9('\x30' + chr(5918 - 5807) + '\x33' + chr(49) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b11001 + 0o126) + '\x37' + chr(711 - 663), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10000 + 0o43) + chr(0b110111) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10770 - 10659) + chr(0b110010) + '\063' + chr(0b110001), 46980 - 46972), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1110 + 0o43) + chr(0b110111) + chr(0b10111 + 0o35), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b110001 + 0o2), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b100 + 0o63) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\066' + chr(53), 37887 - 37879), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(0b110110) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(505 - 457) + chr(0b11010 + 0o125) + chr(844 - 793) + chr(1845 - 1793) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(51) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2893 - 2782) + chr(51) + '\x31' + chr(50), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1034 - 984) + chr(0b11110 + 0o22) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(707 - 656) + chr(0b100000 + 0o22) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + '\x33' + chr(135 - 81) + '\060', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(0b11010 + 0o26) + '\066', 8), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(0b10111 + 0o32) + chr(0b110010) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(820 - 772) + '\x6f' + chr(51) + '\062' + chr(0b1101 + 0o50), 50596 - 50588), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101110 + 0o3) + chr(0b110 + 0o56) + chr(0b110100), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b10001 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + '\063' + chr(51) + '\x37', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1563 - 1515) + '\x6f' + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + '\063' + chr(0b101101 + 0o10), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b110100) + chr(1805 - 1750), 4005 - 3997), ehT0Px3KOsy9(chr(739 - 691) + chr(6567 - 6456) + '\061' + chr(50) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(0b1110 + 0o44) + chr(0b110111), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b11110 + 0o121) + chr(0b10110 + 0o37) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6'), '\144' + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\x64' + chr(9924 - 9823))('\x75' + chr(0b11101 + 0o127) + chr(102) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def POyImYQwg5VB(oVre8I6UXc3b, ULnjp6D6efFH, MWCus7xfQEVr=-ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31', 0b1000), pyIRxQu_AGPu=ehT0Px3KOsy9(chr(1200 - 1152) + chr(0b1101111) + chr(219 - 171), 8), KH5LYZDn2P2c=ehT0Px3KOsy9('\x30' + chr(0b1010001 + 0o36) + chr(48), 8), ajcF5OWQ6LAE=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x30', 8), Hlg5vjHhriYG=ehT0Px3KOsy9(chr(48) + chr(0b10110 + 0o131) + '\060', 8), QS4uyTc3hfTO=ehT0Px3KOsy9(chr(1732 - 1684) + chr(111) + chr(0b101010 + 0o7), 8)):
if PlSM16l2KDPD(ULnjp6D6efFH, aV89os75KJXF):
raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\x90\xe9\x13q\x9dD\xaa\x84\xad\xab\xd6\xabL\x99\xea\x19\x7f\xdf\xdc\x9e\x94\xaar\xa4\xe5\xb4\xd0\xe0<\xa7D|\xadxd4\xc4"~\xa7\x9f\xab]n\x85\x01\xbe\x84\xad\xab\xe7\xb9]\xd8\xeb\x1d|\xdf\xd1\x91\x93\xbf3\xa3\xe8\xa2\x84\xe32\xb1'), chr(100) + '\145' + chr(0b1100011) + chr(111) + '\x64' + '\145')(chr(0b1110010 + 0o3) + chr(116) + chr(2442 - 2340) + chr(0b1101 + 0o40) + '\070'))
ULnjp6D6efFH = ubhQF763lfR0(ULnjp6D6efFH, None, None, oVre8I6UXc3b.pandas_categorical)[ehT0Px3KOsy9('\x30' + chr(5512 - 5401) + chr(242 - 194), 8)]
HhRWEpkdoQ2Q = JjlUmkw6zvT8
if pyIRxQu_AGPu:
HhRWEpkdoQ2Q = YxYRtRwhrRws
if KH5LYZDn2P2c:
HhRWEpkdoQ2Q = CNSVcN3pcYcP
if ajcF5OWQ6LAE:
HhRWEpkdoQ2Q = BsFKf8HzTgeZ
xWkQlxuuviTI = ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001), 8) if Hlg5vjHhriYG else ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + '\x30', 8)
if MWCus7xfQEVr > xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\x84\xea"j\x86\x10\xbe\x9b\x97\xe2\xe6\xafJ\x99\xed\x15d\x91'), chr(100) + chr(0b1100101) + '\143' + chr(0b1101111) + '\x64' + chr(2459 - 2358))(chr(117) + '\164' + chr(1163 - 1061) + chr(45) + chr(0b101110 + 0o12))):
MWCus7xfQEVr = oVre8I6UXc3b.num_total_iteration
if PlSM16l2KDPD(ULnjp6D6efFH, E3_9psoau2Vm):
with ab8bSIEPNytb() as EGyt1xfPT1P6:
RuZt6f14FvYg(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\x84\xb6\xc50A\xab\x0b\xb0\x84\xbc\xee\xe0\x9aJ\x9d\xfd\x15h\x8b\xf3\x9f\x95\x98z\xa6\xe3'), chr(0b1100100) + '\x65' + '\x63' + '\157' + chr(100) + '\x65')('\165' + chr(0b111 + 0o155) + chr(0b1100110) + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x89\xd3\x08S\x98"\x85\x93\xb2\xd1\xea'), '\144' + chr(0b1100101) + '\x63' + '\x6f' + '\144' + '\145')(chr(0b11010 + 0o133) + chr(116) + chr(3244 - 3142) + '\x2d' + '\x38')), ZYHUZuTony_e(ULnjp6D6efFH), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xae\xee\x13j'), '\144' + '\x65' + chr(6280 - 6181) + '\157' + chr(0b1011 + 0o131) + chr(101))(chr(0b1101 + 0o150) + '\x74' + chr(6509 - 6407) + chr(0b0 + 0o55) + chr(3029 - 2973)))(xWkQlxuuviTI), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xae\xee\x13j'), chr(100) + chr(101) + chr(0b1100011) + '\x6f' + '\144' + '\145')(chr(117) + chr(0b1110100) + '\x66' + '\x2d' + chr(2799 - 2743)))(HhRWEpkdoQ2Q), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xae\xee\x13j'), chr(100) + '\x65' + chr(99) + chr(0b1101111) + '\144' + chr(0b11011 + 0o112))(chr(117) + chr(116) + chr(3085 - 2983) + '\x2d' + '\x38'))(MWCus7xfQEVr), ZYHUZuTony_e(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\x83\xe2\x19A\x99\x05\xad\x96\xa5\xee\xe6\xafJ'), chr(0b101111 + 0o65) + chr(0b1100101) + '\143' + chr(0b1001010 + 0o45) + chr(0b1111 + 0o125) + chr(0b1100101))(chr(0b1110101) + chr(2230 - 2114) + chr(102) + chr(45) + chr(0b101101 + 0o13)))), ZYHUZuTony_e(xafqLlk3kkUe(EGyt1xfPT1P6, xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\xb8\xf17L\x93(\xbb\xb3\xae\xec\xd4'), chr(0b1100100) + chr(8745 - 8644) + '\x63' + '\x6f' + '\x64' + chr(2397 - 2296))(chr(117) + chr(116) + chr(0b1100110) + '\055' + chr(0b111000))))))
izUh4XSf7tJY = EGyt1xfPT1P6.readlines()
Jo1kWDNwrwXo = c2A0yzQpDQB3(izUh4XSf7tJY)
rFir39ju85_Z = [kkSX4ccExqw4(mTy3fac_AqJ5) for LycYkDpyelF6 in izUh4XSf7tJY for mTy3fac_AqJ5 in LycYkDpyelF6.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1'), chr(0b1100100) + chr(0b111000 + 0o55) + '\143' + chr(111) + chr(0b1000 + 0o134) + '\x65')('\165' + '\x74' + chr(102) + '\055' + chr(0b100011 + 0o25)))]
rFir39ju85_Z = WqUC3KWvYVup.B0ePDhpqxN5n(rFir39ju85_Z, dtype=WqUC3KWvYVup.float64, copy=ehT0Px3KOsy9('\060' + chr(8005 - 7894) + chr(2255 - 2207), 8))
elif PlSM16l2KDPD(ULnjp6D6efFH, xafqLlk3kkUe(evIdJHfOlMSS.sparse, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\x82\xf5"s\x88\x10\xad\x9e\xb0'), '\144' + chr(101) + chr(99) + chr(9968 - 9857) + chr(0b1100100) + chr(0b1100101))(chr(400 - 283) + chr(1799 - 1683) + '\x66' + '\055' + chr(0b111000)))):
(rFir39ju85_Z, Jo1kWDNwrwXo) = oVre8I6UXc3b.__pred_for_csr(ULnjp6D6efFH, MWCus7xfQEVr, HhRWEpkdoQ2Q)
elif PlSM16l2KDPD(ULnjp6D6efFH, xafqLlk3kkUe(evIdJHfOlMSS.sparse, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\x82\xe4"s\x88\x10\xad\x9e\xb0'), '\x64' + chr(7884 - 7783) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b100010 + 0o103))('\165' + '\164' + chr(0b1001111 + 0o27) + chr(45) + chr(1705 - 1649)))):
(rFir39ju85_Z, Jo1kWDNwrwXo) = oVre8I6UXc3b.__pred_for_csc(ULnjp6D6efFH, MWCus7xfQEVr, HhRWEpkdoQ2Q)
elif PlSM16l2KDPD(ULnjp6D6efFH, xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\x95\xe6\x0fl\x88\x1d'), chr(0b1100100) + chr(101) + chr(0b10011 + 0o120) + chr(111) + chr(0b1100100) + '\x65')(chr(117) + '\x74' + chr(0b1001101 + 0o31) + chr(695 - 650) + chr(0b101000 + 0o20)))):
(rFir39ju85_Z, Jo1kWDNwrwXo) = oVre8I6UXc3b.__pred_for_np2d(ULnjp6D6efFH, MWCus7xfQEVr, HhRWEpkdoQ2Q)
elif PlSM16l2KDPD(ULnjp6D6efFH, YyaZ4tpXu4lf):
try:
ULnjp6D6efFH = WqUC3KWvYVup.B0ePDhpqxN5n(ULnjp6D6efFH)
except ZVWAAMjVVHHl:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\x90\xe9\x13q\x9dD\xbc\x98\xa6\xfd\xf7\xb8L\xd8\xfd\x1d\x7f\x9e\x95\x9c\x8e\xadg\xea\xf2\xbe\xd0\xe8&\xb8\x14u\xff|r/\xc6/9'), '\x64' + '\145' + chr(0b1100011) + chr(0b1101111) + '\x64' + '\x65')(chr(0b111010 + 0o73) + '\x74' + chr(3321 - 3219) + '\x2d' + chr(2370 - 2314)))
(rFir39ju85_Z, Jo1kWDNwrwXo) = oVre8I6UXc3b.__pred_for_np2d(ULnjp6D6efFH, MWCus7xfQEVr, HhRWEpkdoQ2Q)
elif PlSM16l2KDPD(ULnjp6D6efFH, eOstMbTB25dN):
(rFir39ju85_Z, Jo1kWDNwrwXo) = oVre8I6UXc3b.__pred_for_np2d(ULnjp6D6efFH.to_numpy(), MWCus7xfQEVr, HhRWEpkdoQ2Q)
else:
try:
xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\xb5\xc2\x13P\xab\x05\xbd\xb1\x86\xc0\xff'), chr(0b101000 + 0o74) + '\145' + chr(1699 - 1600) + chr(0b110100 + 0o73) + chr(0b1100100) + chr(101))('\165' + chr(10372 - 10256) + chr(3681 - 3579) + chr(45) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\x9e\xe9\x0b{\x9b\x10\xb6\x99\xaf\xab\xf6\xabL\x99\xb9\x08d\xdf\xc6\x93\x8e\xaej\xea\xf5\xa1\x91\xf4 \xb0Da\xbeir4\xdfx'), chr(2376 - 2276) + chr(0b101101 + 0o70) + chr(2114 - 2015) + chr(3497 - 3386) + '\x64' + chr(101))('\165' + '\x74' + chr(0b101 + 0o141) + chr(0b111 + 0o46) + chr(980 - 924)))
mn3aa_XdWyYO = evIdJHfOlMSS.sparse.csr_matrix(ULnjp6D6efFH)
except ZVWAAMjVVHHl:
raise sznFqDbNBHlx(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\x90\xe9\x13q\x9dD\xaf\x85\xad\xef\xfb\xa9L\xd8\xfd\x1d\x7f\x9e\x95\x96\x88\xac3\xbe\xff\xa1\x95\xa6(\xa8'), chr(0b1100100) + chr(0b1100101) + chr(0b110010 + 0o61) + chr(0b1101001 + 0o6) + '\x64' + chr(8112 - 8011))(chr(117) + '\x74' + chr(9646 - 9544) + chr(808 - 763) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\xc5\xf5\x12V\x887\xec\xa7\xb8\xee\xf8'), chr(100) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(6772 - 6671))(chr(117) + chr(0b1110100) + chr(6643 - 6541) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(wmQmyeWBmUpv(ULnjp6D6efFH), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\x93\xe2\x17*\x86>\xae\xbc\x84\xca\xa4'), chr(0b1100100) + chr(7854 - 7753) + chr(4627 - 4528) + '\157' + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(2391 - 2335)))))
(rFir39ju85_Z, Jo1kWDNwrwXo) = oVre8I6UXc3b.__pred_for_csr(mn3aa_XdWyYO, MWCus7xfQEVr, HhRWEpkdoQ2Q)
if KH5LYZDn2P2c:
rFir39ju85_Z = rFir39ju85_Z.astype(WqUC3KWvYVup.int32)
if QS4uyTc3hfTO and xafqLlk3kkUe(rFir39ju85_Z, xafqLlk3kkUe(SXOLrMavuUCe(b"\x86\xbd\xe4\x1e-\xab'\x95\x99\x99\xe0\xf3"), '\144' + chr(1584 - 1483) + chr(0b111000 + 0o53) + chr(5147 - 5036) + '\144' + chr(0b1100010 + 0o3))(chr(0b11000 + 0o135) + chr(0b1011000 + 0o34) + chr(0b1001010 + 0o34) + '\055' + '\x38')) != Jo1kWDNwrwXo:
if xafqLlk3kkUe(rFir39ju85_Z, xafqLlk3kkUe(SXOLrMavuUCe(b"\x86\xbd\xe4\x1e-\xab'\x95\x99\x99\xe0\xf3"), chr(0b1100100) + '\x65' + '\143' + chr(0b110010 + 0o75) + chr(4099 - 3999) + chr(7313 - 7212))(chr(0b1110101) + chr(0b1110100) + chr(0b1010101 + 0o21) + '\055' + chr(56))) % Jo1kWDNwrwXo == ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + '\x30', 8):
rFir39ju85_Z = rFir39ju85_Z.reshape(Jo1kWDNwrwXo, -ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + '\x31', 8))
else:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x84\x94\xe9\x1aj\x81D\xb0\x91\xe8\xfb\xe0\xaf\\\x91\xfa\x08+\x8d\xd0\x83\x92\xb2g\xea\xae\xf4\x94\xafs\xb6\x05b\xb1rt}\xc537\xac\x98\xf1\x14z\x8cD\xb1\x85\xa7\xfc\xb2\xe2\x1d\x9c\xb0'), chr(100) + chr(0b1100 + 0o131) + '\143' + chr(0b110110 + 0o71) + chr(188 - 88) + '\145')(chr(0b1111 + 0o146) + chr(116) + '\146' + chr(743 - 698) + chr(56)) % (xafqLlk3kkUe(rFir39ju85_Z, xafqLlk3kkUe(SXOLrMavuUCe(b"\x86\xbd\xe4\x1e-\xab'\x95\x99\x99\xe0\xf3"), chr(0b111111 + 0o45) + chr(0b1100101) + chr(0b1100011) + chr(0b101101 + 0o102) + '\144' + '\x65')(chr(0b1110101) + chr(0b1110100) + '\146' + chr(0b101101) + chr(1977 - 1921))), Jo1kWDNwrwXo))
return rFir39ju85_Z
|
Microsoft/LightGBM
|
python-package/lightgbm/basic.py
|
_InnerPredictor.__get_num_preds
|
def __get_num_preds(self, num_iteration, nrow, predict_type):
"""Get size of prediction result."""
if nrow > MAX_INT32:
raise LightGBMError('LightGBM cannot perform prediction for data'
'with number of rows greater than MAX_INT32 (%d).\n'
'You can split your data into chunks'
'and then concatenate predictions for them' % MAX_INT32)
n_preds = ctypes.c_int64(0)
_safe_call(_LIB.LGBM_BoosterCalcNumPredict(
self.handle,
ctypes.c_int(nrow),
ctypes.c_int(predict_type),
ctypes.c_int(num_iteration),
ctypes.byref(n_preds)))
return n_preds.value
|
python
|
def __get_num_preds(self, num_iteration, nrow, predict_type):
"""Get size of prediction result."""
if nrow > MAX_INT32:
raise LightGBMError('LightGBM cannot perform prediction for data'
'with number of rows greater than MAX_INT32 (%d).\n'
'You can split your data into chunks'
'and then concatenate predictions for them' % MAX_INT32)
n_preds = ctypes.c_int64(0)
_safe_call(_LIB.LGBM_BoosterCalcNumPredict(
self.handle,
ctypes.c_int(nrow),
ctypes.c_int(predict_type),
ctypes.c_int(num_iteration),
ctypes.byref(n_preds)))
return n_preds.value
|
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] |
Get size of prediction result.
|
[
"Get",
"size",
"of",
"prediction",
"result",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/basic.py#L505-L519
|
train
|
Get size of prediction result.
|
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) + '\063' + chr(0b110000) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(2295 - 2184) + chr(51) + '\060' + chr(1949 - 1894), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(2271 - 2220) + '\060' + chr(1780 - 1729), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(2671 - 2618) + chr(217 - 163), 48065 - 48057), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(2532 - 2480) + chr(2285 - 2232), 56213 - 56205), ehT0Px3KOsy9('\060' + chr(0b1101101 + 0o2) + chr(0b110100) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\x35' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1281 - 1233) + chr(3773 - 3662) + chr(0b110010) + chr(48) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10 + 0o61) + chr(49) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100010 + 0o20) + '\x31' + chr(0b101100 + 0o10), 19794 - 19786), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + chr(0b110011) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + chr(50) + '\x34' + '\064', 57428 - 57420), ehT0Px3KOsy9(chr(48) + chr(0b1000000 + 0o57) + chr(0b101000 + 0o12) + chr(1180 - 1132) + chr(0b110110), 45175 - 45167), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(1965 - 1914) + chr(267 - 218), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(1319 - 1268) + '\x31' + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(0b110000 + 0o77) + chr(0b11111 + 0o24) + '\x34' + '\x35', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2462 - 2411) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110100) + '\x36', 47037 - 47029), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2112 - 2057) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(55) + chr(1814 - 1766), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101000 + 0o107) + chr(2149 - 2100) + chr(2366 - 2311) + chr(2778 - 2724), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3255 - 3144) + chr(50) + chr(0b1001 + 0o56) + chr(1834 - 1780), 8514 - 8506), ehT0Px3KOsy9('\x30' + chr(0b101011 + 0o104) + '\062' + chr(0b100010 + 0o16) + chr(1146 - 1095), 15245 - 15237), ehT0Px3KOsy9('\x30' + chr(5524 - 5413) + '\x32' + '\x31' + '\063', 0b1000), ehT0Px3KOsy9(chr(909 - 861) + chr(111) + '\063' + chr(951 - 903) + '\x36', 0b1000), ehT0Px3KOsy9(chr(1768 - 1720) + '\157' + chr(1522 - 1470) + chr(0b110011), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(2597 - 2545) + chr(1139 - 1086), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + chr(51) + '\065' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(0b100010 + 0o17) + chr(1050 - 998) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10525 - 10414) + chr(0b10 + 0o57) + chr(53) + chr(0b101101 + 0o3), 0o10), ehT0Px3KOsy9(chr(1904 - 1856) + '\x6f' + '\x32' + chr(2505 - 2454) + '\x37', 14187 - 14179), ehT0Px3KOsy9('\x30' + chr(7020 - 6909) + chr(2596 - 2545) + chr(0b11111 + 0o22) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(7555 - 7444) + chr(0b100110 + 0o13) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(54) + chr(0b11101 + 0o32), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\x32' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(49) + chr(0b101010 + 0o13) + chr(54), 0b1000), ehT0Px3KOsy9(chr(1031 - 983) + '\157' + chr(1628 - 1579) + '\x31' + chr(1529 - 1481), 0b1000), ehT0Px3KOsy9(chr(772 - 724) + '\x6f' + chr(0b110001) + chr(0b110010) + '\061', 33847 - 33839), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b110000) + chr(0b110 + 0o54), 0b1000), ehT0Px3KOsy9(chr(1136 - 1088) + chr(111) + chr(1609 - 1558) + chr(50) + chr(0b110001), 4222 - 4214)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(363 - 310) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xee'), chr(0b1001001 + 0o33) + '\145' + chr(99) + chr(0b100100 + 0o113) + '\x64' + chr(101))(chr(13039 - 12922) + '\164' + chr(102) + chr(45) + chr(1233 - 1177)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def zYOeeSCgbb3n(oVre8I6UXc3b, MWCus7xfQEVr, Jo1kWDNwrwXo, HhRWEpkdoQ2Q):
if Jo1kWDNwrwXo > QZsOosr_cCcJ:
raise hfSVGy9c2sC1(xafqLlk3kkUe(SXOLrMavuUCe(b"\x8c\xae\xa4F\x91d\xed\xc8\xee\xef{\xca\xe8\xf6\xb9\xc5hCN^\x11\xcc\xee\xab\xb6Q\xc0\x8c\x0b\x0b\xeb\xa2g\x99\xb0\x08'#b\xb5\xa1\xb3\xa2Y\x8cW\xc7\xa5\xa0\xf9w\xc6\xe3\xeb\xed\x8a~\x06NW\t\xcd\xa3\xec\xb4F\xc4\x9c\x07\x1a\xbf\xbf`\x96\xfeN\x05\x10\x1a\x8e\x89\x89\x97\x1d\xd7\x03\x87\xa0\xaa\xa54\xae\xdf\xf6\xb8\xc5{GR\x18\r\xce\xef\xe2\xb2\x03\xdc\x87\x17\x1a\xbf\xafi\x83\xf1N!?6\xbe\xe0\xa4\xab[\x8bH\xdc\xe4\xa0\xe8:\xd0\xee\xfc\xa3\xc5{IR[\x1f\xca\xe6\xe5\xa7W\xc0\xc8\x12\x1a\xfa\xafa\x94\xe4\x07'?1\xf1\xa6\xa8\xb1\x0e\x91K\xca\xe8"), '\x64' + chr(0b1100101) + chr(2840 - 2741) + '\x6f' + chr(0b1011 + 0o131) + '\145')(chr(117) + chr(10936 - 10820) + chr(0b11010 + 0o114) + chr(45) + chr(0b110010 + 0o6)) % QZsOosr_cCcJ)
bqYSRg4Tq_Zm = RyQ4N1viUrfz.c_int64(ehT0Px3KOsy9('\060' + '\157' + chr(0b110000), 0b1000))
RuZt6f14FvYg(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\x80\x81c\xbaa\xc0\xea\xbd\xf8\x7f\xd6\xc5\xf8\xa1\x86VSQh\x0c\xdb\xe7\xe2\xa5W'), chr(3371 - 3271) + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\x64' + chr(0b1100101))(chr(1597 - 1480) + '\x74' + chr(0b1111 + 0o127) + '\x2d' + '\x38'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x93\xbf\x97[\xa8R\xe9\xdf\xaa\xf6@\xdc'), '\x64' + chr(101) + '\143' + '\x6f' + chr(0b100101 + 0o77) + chr(101))(chr(0b1110101) + '\164' + chr(7147 - 7045) + chr(2017 - 1972) + chr(0b111000))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3\x98\xaa@\x91'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(7514 - 7403) + chr(0b1001011 + 0o31) + chr(101))(chr(0b1011110 + 0o27) + chr(319 - 203) + chr(0b1001000 + 0o36) + chr(0b11111 + 0o16) + chr(2727 - 2671)))(Jo1kWDNwrwXo), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3\x98\xaa@\x91'), chr(720 - 620) + '\x65' + '\143' + chr(0b1000100 + 0o53) + chr(0b1 + 0o143) + '\145')('\x75' + chr(0b1110100) + chr(0b11101 + 0o111) + chr(45) + chr(0b100010 + 0o26)))(HhRWEpkdoQ2Q), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3\x98\xaa@\x91'), '\144' + chr(1086 - 985) + '\x63' + chr(111) + chr(3798 - 3698) + '\x65')('\x75' + chr(0b1000010 + 0o62) + chr(0b1100110) + chr(1337 - 1292) + chr(1861 - 1805)))(MWCus7xfQEVr), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2\xbe\xb1K\x83'), chr(0b1100100) + '\x65' + chr(0b1010 + 0o131) + chr(0b1001011 + 0o44) + '\144' + '\x65')(chr(11553 - 11436) + chr(0b110010 + 0o102) + chr(0b101010 + 0o74) + chr(0b111 + 0o46) + chr(0b111000)))(bqYSRg4Tq_Zm)))
return xafqLlk3kkUe(bqYSRg4Tq_Zm, xafqLlk3kkUe(SXOLrMavuUCe(b'\x91\xaa\xaeI\xb2v\xed\xb4\xfd\xdaY\xee'), chr(0b111010 + 0o52) + chr(0b111010 + 0o53) + chr(0b110110 + 0o55) + '\157' + '\x64' + chr(0b1100101))('\165' + chr(116) + chr(102) + chr(45) + chr(0b10101 + 0o43)))
|
Microsoft/LightGBM
|
python-package/lightgbm/basic.py
|
_InnerPredictor.__pred_for_np2d
|
def __pred_for_np2d(self, mat, num_iteration, predict_type):
"""Predict for a 2-D numpy matrix."""
if len(mat.shape) != 2:
raise ValueError('Input numpy.ndarray or list must be 2 dimensional')
def inner_predict(mat, num_iteration, predict_type, preds=None):
if mat.dtype == np.float32 or mat.dtype == np.float64:
data = np.array(mat.reshape(mat.size), dtype=mat.dtype, copy=False)
else:
"""change non-float data to float data, need to copy"""
data = np.array(mat.reshape(mat.size), dtype=np.float32)
ptr_data, type_ptr_data, _ = c_float_array(data)
n_preds = self.__get_num_preds(num_iteration, mat.shape[0], predict_type)
if preds is None:
preds = np.zeros(n_preds, dtype=np.float64)
elif len(preds.shape) != 1 or len(preds) != n_preds:
raise ValueError("Wrong length of pre-allocated predict array")
out_num_preds = ctypes.c_int64(0)
_safe_call(_LIB.LGBM_BoosterPredictForMat(
self.handle,
ptr_data,
ctypes.c_int(type_ptr_data),
ctypes.c_int(mat.shape[0]),
ctypes.c_int(mat.shape[1]),
ctypes.c_int(C_API_IS_ROW_MAJOR),
ctypes.c_int(predict_type),
ctypes.c_int(num_iteration),
c_str(self.pred_parameter),
ctypes.byref(out_num_preds),
preds.ctypes.data_as(ctypes.POINTER(ctypes.c_double))))
if n_preds != out_num_preds.value:
raise ValueError("Wrong length for predict results")
return preds, mat.shape[0]
nrow = mat.shape[0]
if nrow > MAX_INT32:
sections = np.arange(start=MAX_INT32, stop=nrow, step=MAX_INT32)
# __get_num_preds() cannot work with nrow > MAX_INT32, so calculate overall number of predictions piecemeal
n_preds = [self.__get_num_preds(num_iteration, i, predict_type) for i in np.diff([0] + list(sections) + [nrow])]
n_preds_sections = np.array([0] + n_preds, dtype=np.intp).cumsum()
preds = np.zeros(sum(n_preds), dtype=np.float64)
for chunk, (start_idx_pred, end_idx_pred) in zip_(np.array_split(mat, sections),
zip_(n_preds_sections, n_preds_sections[1:])):
# avoid memory consumption by arrays concatenation operations
inner_predict(chunk, num_iteration, predict_type, preds[start_idx_pred:end_idx_pred])
return preds, nrow
else:
return inner_predict(mat, num_iteration, predict_type)
|
python
|
def __pred_for_np2d(self, mat, num_iteration, predict_type):
"""Predict for a 2-D numpy matrix."""
if len(mat.shape) != 2:
raise ValueError('Input numpy.ndarray or list must be 2 dimensional')
def inner_predict(mat, num_iteration, predict_type, preds=None):
if mat.dtype == np.float32 or mat.dtype == np.float64:
data = np.array(mat.reshape(mat.size), dtype=mat.dtype, copy=False)
else:
"""change non-float data to float data, need to copy"""
data = np.array(mat.reshape(mat.size), dtype=np.float32)
ptr_data, type_ptr_data, _ = c_float_array(data)
n_preds = self.__get_num_preds(num_iteration, mat.shape[0], predict_type)
if preds is None:
preds = np.zeros(n_preds, dtype=np.float64)
elif len(preds.shape) != 1 or len(preds) != n_preds:
raise ValueError("Wrong length of pre-allocated predict array")
out_num_preds = ctypes.c_int64(0)
_safe_call(_LIB.LGBM_BoosterPredictForMat(
self.handle,
ptr_data,
ctypes.c_int(type_ptr_data),
ctypes.c_int(mat.shape[0]),
ctypes.c_int(mat.shape[1]),
ctypes.c_int(C_API_IS_ROW_MAJOR),
ctypes.c_int(predict_type),
ctypes.c_int(num_iteration),
c_str(self.pred_parameter),
ctypes.byref(out_num_preds),
preds.ctypes.data_as(ctypes.POINTER(ctypes.c_double))))
if n_preds != out_num_preds.value:
raise ValueError("Wrong length for predict results")
return preds, mat.shape[0]
nrow = mat.shape[0]
if nrow > MAX_INT32:
sections = np.arange(start=MAX_INT32, stop=nrow, step=MAX_INT32)
# __get_num_preds() cannot work with nrow > MAX_INT32, so calculate overall number of predictions piecemeal
n_preds = [self.__get_num_preds(num_iteration, i, predict_type) for i in np.diff([0] + list(sections) + [nrow])]
n_preds_sections = np.array([0] + n_preds, dtype=np.intp).cumsum()
preds = np.zeros(sum(n_preds), dtype=np.float64)
for chunk, (start_idx_pred, end_idx_pred) in zip_(np.array_split(mat, sections),
zip_(n_preds_sections, n_preds_sections[1:])):
# avoid memory consumption by arrays concatenation operations
inner_predict(chunk, num_iteration, predict_type, preds[start_idx_pred:end_idx_pred])
return preds, nrow
else:
return inner_predict(mat, num_iteration, predict_type)
|
[
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"__pred_for_np2d",
"(",
"self",
",",
"mat",
",",
"num_iteration",
",",
"predict_type",
")",
":",
"if",
"len",
"(",
"mat",
".",
"shape",
")",
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] |
Predict for a 2-D numpy matrix.
|
[
"Predict",
"for",
"a",
"2",
"-",
"D",
"numpy",
"matrix",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/basic.py#L521-L568
|
train
|
Predict for a 2 - D numpy matrix.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110111) + chr(1814 - 1762), 0b1000), ehT0Px3KOsy9('\x30' + chr(6015 - 5904) + '\063' + chr(54) + chr(0b11011 + 0o30), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100101 + 0o12) + '\062' + chr(2433 - 2379) + chr(0b101101 + 0o3), 0b1000), ehT0Px3KOsy9(chr(79 - 31) + '\x6f' + chr(0b111 + 0o54) + '\062' + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\x36' + chr(0b101000 + 0o10), 0o10), ehT0Px3KOsy9(chr(48) + chr(5090 - 4979) + chr(0b101010 + 0o7) + chr(51) + chr(52), 55597 - 55589), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b110101) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + '\062' + chr(0b110111) + chr(0b110100), 35567 - 35559), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(949 - 894) + chr(865 - 816), 28365 - 28357), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101011 + 0o6) + chr(0b111 + 0o57) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b101 + 0o152) + '\063' + chr(48) + chr(1257 - 1206), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2035 - 1986) + chr(53) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + chr(0b101000 + 0o13) + chr(51) + chr(0b110001), 52983 - 52975), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(0b110100) + '\x34', 12519 - 12511), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(49) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1001 + 0o51) + '\066' + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + chr(7034 - 6923) + chr(0b1001 + 0o52) + chr(1238 - 1186) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(2141 - 2091) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(6907 - 6796) + chr(1308 - 1257) + '\066' + chr(952 - 901), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1750 - 1702), 52456 - 52448), ehT0Px3KOsy9('\060' + chr(11024 - 10913) + chr(2036 - 1982) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(1662 - 1551) + chr(0b110011) + chr(731 - 681) + chr(50), 0o10), ehT0Px3KOsy9(chr(646 - 598) + chr(9698 - 9587) + chr(2088 - 2037) + chr(0b10000 + 0o40) + chr(55), 26470 - 26462), ehT0Px3KOsy9('\060' + '\157' + chr(2011 - 1960) + chr(0b110010 + 0o5) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10101 + 0o132) + '\062' + chr(0b101100 + 0o4) + chr(0b10 + 0o64), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(7070 - 6959) + chr(0b100010 + 0o17) + chr(0b110101) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + chr(1843 - 1794) + chr(0b10001 + 0o37) + chr(0b11101 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b10110 + 0o36) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1556 - 1508) + chr(0b1001100 + 0o43) + chr(641 - 592) + chr(0b1011 + 0o54) + chr(54), 51593 - 51585), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1749 - 1699) + chr(51) + chr(0b1101 + 0o51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(310 - 256) + '\060', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(1337 - 1287) + chr(0b110101) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(0b100110 + 0o14) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(2363 - 2252) + chr(0b110010) + chr(0b110000) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\067' + chr(48), 34814 - 34806), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + '\x32' + chr(0b10100 + 0o42), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(0b101 + 0o53) + '\x34', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + '\x30' + '\x33', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(99 - 50) + '\x30' + chr(0b110010), 7349 - 7341), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(0b110010) + chr(51) + chr(53), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x12'), chr(9130 - 9030) + chr(8980 - 8879) + chr(0b1100011) + chr(111) + chr(0b1100100) + '\x65')(chr(3581 - 3464) + chr(0b1110100) + '\x66' + chr(1513 - 1468) + chr(2745 - 2689)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def aU5cdw80rxrM(oVre8I6UXc3b, B46D_S81_RKA, MWCus7xfQEVr, HhRWEpkdoQ2Q):
if c2A0yzQpDQB3(xafqLlk3kkUe(B46D_S81_RKA, xafqLlk3kkUe(SXOLrMavuUCe(b'R\x92\xc5\x89\x96\x10\xca\xd0m\x05\xa0\x0e'), chr(0b10 + 0o142) + '\145' + '\x63' + chr(0b11 + 0o154) + chr(0b1100100) + '\145')(chr(0b110001 + 0o104) + chr(0b1010 + 0o152) + chr(0b1100100 + 0o2) + '\x2d' + chr(56)))) != ehT0Px3KOsy9(chr(0b110000) + chr(0b1011111 + 0o20) + chr(1459 - 1409), ord("\x08")):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'u\x9d\xc0\xa5\x84|\xc3\xc9T\x05\xbaB\xb7\x00\xa8\xc3\x93\xf0\x8a _\xa0\xe7\x94\xef\x1f0\xc6\x13\xebC\xdd\xf6\xe1]v\xb6\xe3&\xf4Q\x96\xde\xa3\x993\xc3\xddU'), '\x64' + '\145' + chr(0b1000010 + 0o41) + chr(4171 - 4060) + chr(0b1100100) + '\145')(chr(117) + chr(0b10000 + 0o144) + '\x66' + chr(0b101101) + chr(0b10001 + 0o47)))
def mImcegR59LzY(B46D_S81_RKA, MWCus7xfQEVr, HhRWEpkdoQ2Q, rFir39ju85_Z=None):
if xafqLlk3kkUe(B46D_S81_RKA, xafqLlk3kkUe(SXOLrMavuUCe(b"V\xa0\xe6\xe9\xb9\x17\xc3\xd9T=\xf4'"), chr(0b101011 + 0o71) + '\145' + chr(3104 - 3005) + chr(0b1101111) + chr(1464 - 1364) + chr(0b1100101))('\x75' + '\x74' + chr(3586 - 3484) + '\055' + '\070')) == xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'Z\x9f\xdf\xb1\x84o\x9f'), chr(0b1010100 + 0o20) + chr(3415 - 3314) + '\143' + chr(111) + '\144' + chr(101))('\x75' + chr(6113 - 5997) + chr(0b1100110) + '\x2d' + chr(0b111000))) or xafqLlk3kkUe(B46D_S81_RKA, xafqLlk3kkUe(SXOLrMavuUCe(b"V\xa0\xe6\xe9\xb9\x17\xc3\xd9T=\xf4'"), chr(100) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(101))('\165' + chr(0b110101 + 0o77) + '\x66' + chr(997 - 952) + '\x38')) == xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'Z\x9f\xdf\xb1\x84j\x99'), '\x64' + chr(0b101001 + 0o74) + '\143' + chr(0b111001 + 0o66) + chr(100) + chr(8420 - 8319))('\x75' + '\164' + '\146' + chr(0b11110 + 0o17) + chr(0b111000))):
ULnjp6D6efFH = WqUC3KWvYVup.B0ePDhpqxN5n(B46D_S81_RKA.reshape(B46D_S81_RKA.NLcc3BCJnQka), dtype=B46D_S81_RKA.jSV9IKnemH7K, copy=ehT0Px3KOsy9(chr(1102 - 1054) + '\157' + chr(2066 - 2018), 8))
else:
xafqLlk3kkUe(SXOLrMavuUCe(b"_\x9b\xd1\xbe\x979\x8d\xd2V\x1b\xee\n\xb5\x0b\xa8\xc5\xc1\xf5\x92tQ\xf2\xb3\x97\xa6\n(\x89\x1f\xea\x10\xcd\xb7\xf7Yz\xa4\xad'\xf8X\xd3\xc4\xbf\xd0?\xc2\xcc@"), '\x64' + chr(0b100001 + 0o104) + chr(0b1100011) + chr(111) + '\x64' + '\145')('\x75' + chr(0b1110100) + '\146' + chr(0b101101) + chr(56))
ULnjp6D6efFH = WqUC3KWvYVup.B0ePDhpqxN5n(B46D_S81_RKA.reshape(B46D_S81_RKA.NLcc3BCJnQka), dtype=WqUC3KWvYVup.float32)
(CpHPNNBVusHU, MpGjAnm5ItSt, VNGQdHSFPrso) = aE3U0E0rKI4Q(ULnjp6D6efFH)
bqYSRg4Tq_Zm = oVre8I6UXc3b.__get_num_preds(MWCus7xfQEVr, B46D_S81_RKA.nauYfLglTpcb[ehT0Px3KOsy9('\060' + chr(136 - 25) + chr(1118 - 1070), 8)], HhRWEpkdoQ2Q)
if rFir39ju85_Z is None:
rFir39ju85_Z = WqUC3KWvYVup.zeros(bqYSRg4Tq_Zm, dtype=WqUC3KWvYVup.float64)
elif c2A0yzQpDQB3(xafqLlk3kkUe(rFir39ju85_Z, xafqLlk3kkUe(SXOLrMavuUCe(b'R\x92\xc5\x89\x96\x10\xca\xd0m\x05\xa0\x0e'), chr(0b1100100) + '\145' + chr(2122 - 2023) + chr(111) + chr(0b111111 + 0o45) + chr(3315 - 3214))(chr(0b1001101 + 0o50) + chr(3337 - 3221) + chr(0b1100110) + '\x2d' + chr(2610 - 2554)))) != ehT0Px3KOsy9(chr(0b110000) + chr(0b1100010 + 0o15) + chr(49), 0o10) or c2A0yzQpDQB3(rFir39ju85_Z) != bqYSRg4Tq_Zm:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'k\x81\xdf\xbe\x97|\xc1\xd9W\x12\xb7\x04\xf9\x0b\xaf\x91\x91\xe3\x96-Q\xbe\xab\x97\xe5\r0\x83\x1a\xbe@\xdb\xb3\xe7Q5\xf0\xe3#\xefN\x92\xc9'), '\x64' + '\x65' + chr(0b100011 + 0o100) + chr(0b1101000 + 0o7) + chr(0b1011111 + 0o5) + chr(7519 - 7418))(chr(6731 - 6614) + '\x74' + chr(102) + chr(45) + chr(56)))
zoNCWRPqUisM = RyQ4N1viUrfz.c_int64(ehT0Px3KOsy9('\x30' + '\157' + chr(48), 8))
RuZt6f14FvYg(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'p\xb4\xf2\x9d\xaf\x1e\xc2\xd3J\x01\xa6\x1e\x89\x16\xac\xd5\x88\xf2\x87F_\xa0\x8a\x99\xf2'), chr(100) + chr(101) + '\143' + chr(111) + chr(100) + chr(0b1001011 + 0o32))(chr(5730 - 5613) + chr(0b1110100) + chr(102) + chr(0b101 + 0o50) + '\070'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'o\x8b\xe4\xa5\xbd-\xeb\xe6]\x0f\x99\x14'), '\x64' + chr(6059 - 5958) + chr(99) + chr(0b1101111) + chr(7244 - 7144) + '\145')(chr(2157 - 2040) + '\x74' + chr(0b10011 + 0o123) + chr(211 - 166) + chr(56))), CpHPNNBVusHU, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'_\xac\xd9\xbe\x84'), chr(0b11001 + 0o113) + chr(0b1100101) + chr(4766 - 4667) + chr(8669 - 8558) + chr(5236 - 5136) + '\x65')(chr(0b1110101) + chr(116) + chr(6818 - 6716) + chr(0b101101) + chr(0b111000)))(MpGjAnm5ItSt), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'_\xac\xd9\xbe\x84'), '\144' + chr(6886 - 6785) + chr(0b110100 + 0o57) + '\157' + chr(100) + chr(101))(chr(0b1110101) + '\164' + chr(102) + '\055' + chr(0b111000)))(xafqLlk3kkUe(B46D_S81_RKA, xafqLlk3kkUe(SXOLrMavuUCe(b'R\x92\xc5\x89\x96\x10\xca\xd0m\x05\xa0\x0e'), chr(100) + chr(5403 - 5302) + '\143' + chr(0b1101111) + '\144' + chr(101))(chr(117) + chr(0b11 + 0o161) + chr(0b1100100 + 0o2) + '\x2d' + chr(2290 - 2234)))[ehT0Px3KOsy9(chr(48) + '\x6f' + '\060', 8)]), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'_\xac\xd9\xbe\x84'), chr(0b1100100) + '\145' + '\x63' + '\x6f' + chr(0b1011101 + 0o7) + chr(101))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + '\070'))(xafqLlk3kkUe(B46D_S81_RKA, xafqLlk3kkUe(SXOLrMavuUCe(b'R\x92\xc5\x89\x96\x10\xca\xd0m\x05\xa0\x0e'), chr(0b1100100) + chr(9224 - 9123) + chr(99) + chr(111) + chr(0b1000000 + 0o44) + chr(0b1100101))('\165' + chr(0b11100 + 0o130) + chr(0b1011000 + 0o16) + '\055' + '\x38'))[ehT0Px3KOsy9('\x30' + chr(1540 - 1429) + '\061', 8)]), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'_\xac\xd9\xbe\x84'), chr(100) + chr(5743 - 5642) + chr(99) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(8126 - 8009) + chr(116) + '\x66' + chr(0b101101) + chr(2331 - 2275)))(byFH6eKxx6Ur), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'_\xac\xd9\xbe\x84'), chr(0b101010 + 0o72) + '\x65' + '\143' + chr(111) + chr(100) + '\x65')(chr(9997 - 9880) + '\164' + '\x66' + chr(0b101101) + '\x38'))(HhRWEpkdoQ2Q), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'_\xac\xd9\xbe\x84'), chr(0b1100100) + '\x65' + chr(3720 - 3621) + '\x6f' + chr(100) + chr(1925 - 1824))('\165' + '\x74' + chr(0b1100110) + chr(0b11 + 0o52) + chr(0b11101 + 0o33)))(MWCus7xfQEVr), ZYHUZuTony_e(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'L\x81\xd5\xb4\xaf,\xcc\xceX\x18\xa6\x18\xbc\x16'), chr(100) + chr(101) + '\x63' + '\157' + '\144' + chr(101))(chr(10343 - 10226) + chr(4737 - 4621) + chr(0b101001 + 0o75) + '\055' + '\070'))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'^\x8a\xc2\xb5\x96'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\x6f' + chr(0b111100 + 0o50) + chr(9862 - 9761))(chr(0b100010 + 0o123) + '\x74' + '\146' + chr(1277 - 1232) + chr(3124 - 3068)))(zoNCWRPqUisM), xafqLlk3kkUe(rFir39ju85_Z.ctypes, xafqLlk3kkUe(SXOLrMavuUCe(b'X\x92\xc4\xb1\xaf=\xde'), chr(100) + chr(0b1100100 + 0o1) + '\143' + chr(3176 - 3065) + '\x64' + chr(6961 - 6860))('\x75' + '\164' + chr(895 - 793) + chr(2015 - 1970) + '\070'))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'l\xbc\xf9\x9e\xa4\x19\xff'), chr(0b1001110 + 0o26) + chr(101) + chr(99) + chr(111) + chr(0b11111 + 0o105) + chr(0b110110 + 0o57))(chr(0b1110101) + '\x74' + chr(0b1100110) + '\055' + chr(56)))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'_\xac\xd4\xbf\x85>\xc1\xd9'), chr(100) + chr(0b1011001 + 0o14) + chr(9199 - 9100) + chr(0b1101111) + chr(9853 - 9753) + chr(8915 - 8814))('\x75' + '\164' + chr(0b1100010 + 0o4) + chr(0b101000 + 0o5) + '\x38'))))))
if bqYSRg4Tq_Zm != xafqLlk3kkUe(zoNCWRPqUisM, xafqLlk3kkUe(SXOLrMavuUCe(b'm\x9e\xdd\xb7\xa7\t\xef\x8d\n#\x80&'), chr(0b1100100) + '\x65' + chr(99) + chr(5082 - 4971) + chr(100) + chr(2634 - 2533))('\165' + '\x74' + chr(102) + chr(483 - 438) + '\x38')):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'k\x81\xdf\xbe\x97|\xc1\xd9W\x12\xb7\x04\xf9\x02\xa6\xc3\xc1\xe1\x81eT\xbb\xa4\x8c\xa6\x1e!\x95\x0b\xf2D\xda'), '\x64' + chr(101) + chr(1888 - 1789) + chr(6471 - 6360) + '\x64' + chr(0b111000 + 0o55))('\165' + chr(116) + '\146' + chr(627 - 582) + chr(0b111000)))
return (rFir39ju85_Z, xafqLlk3kkUe(B46D_S81_RKA, xafqLlk3kkUe(SXOLrMavuUCe(b'R\x92\xc5\x89\x96\x10\xca\xd0m\x05\xa0\x0e'), chr(0b1000101 + 0o37) + chr(101) + '\x63' + '\x6f' + '\x64' + '\145')(chr(725 - 608) + chr(116) + chr(102) + chr(45) + chr(2983 - 2927)))[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(48), 8)])
Jo1kWDNwrwXo = B46D_S81_RKA.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\060', 8)]
if Jo1kWDNwrwXo > QZsOosr_cCcJ:
osRv5CFR3cO5 = WqUC3KWvYVup.arange(start=QZsOosr_cCcJ, stop=Jo1kWDNwrwXo, step=QZsOosr_cCcJ)
bqYSRg4Tq_Zm = [oVre8I6UXc3b.__get_num_preds(MWCus7xfQEVr, WVxHKyX45z_L, HhRWEpkdoQ2Q) for WVxHKyX45z_L in WqUC3KWvYVup.diff([ehT0Px3KOsy9('\x30' + chr(0b1010101 + 0o32) + '\x30', 8)] + YyaZ4tpXu4lf(osRv5CFR3cO5) + [Jo1kWDNwrwXo])]
xKD0Yh4QcwiY = WqUC3KWvYVup.array([ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b111100 + 0o63) + chr(0b1001 + 0o47), 8)] + bqYSRg4Tq_Zm, dtype=WqUC3KWvYVup.intp).i0lzZW3r00ue()
rFir39ju85_Z = WqUC3KWvYVup.zeros(xkxBmo49x2An(bqYSRg4Tq_Zm), dtype=WqUC3KWvYVup.float64)
for (qrKMvKviNzHg, (FNrwdZbft4BN, _FdqonpnclGx)) in vfsAGwmLBtRS(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b']\x81\xc2\xb1\x89\x03\xde\xccU\x1c\xb7'), '\144' + chr(101) + chr(99) + chr(0b1101111) + '\144' + chr(101))('\165' + chr(0b1110100) + chr(3079 - 2977) + chr(1756 - 1711) + chr(0b101011 + 0o15)))(B46D_S81_RKA, osRv5CFR3cO5), vfsAGwmLBtRS(xKD0Yh4QcwiY, xKD0Yh4QcwiY[ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001), 8):])):
mImcegR59LzY(qrKMvKviNzHg, MWCus7xfQEVr, HhRWEpkdoQ2Q, rFir39ju85_Z[FNrwdZbft4BN:_FdqonpnclGx])
return (rFir39ju85_Z, Jo1kWDNwrwXo)
else:
return mImcegR59LzY(B46D_S81_RKA, MWCus7xfQEVr, HhRWEpkdoQ2Q)
|
Microsoft/LightGBM
|
python-package/lightgbm/basic.py
|
_InnerPredictor.__pred_for_csr
|
def __pred_for_csr(self, csr, num_iteration, predict_type):
"""Predict for a CSR data."""
def inner_predict(csr, num_iteration, predict_type, preds=None):
nrow = len(csr.indptr) - 1
n_preds = self.__get_num_preds(num_iteration, nrow, predict_type)
if preds is None:
preds = np.zeros(n_preds, dtype=np.float64)
elif len(preds.shape) != 1 or len(preds) != n_preds:
raise ValueError("Wrong length of pre-allocated predict array")
out_num_preds = ctypes.c_int64(0)
ptr_indptr, type_ptr_indptr, __ = c_int_array(csr.indptr)
ptr_data, type_ptr_data, _ = c_float_array(csr.data)
assert csr.shape[1] <= MAX_INT32
csr.indices = csr.indices.astype(np.int32, copy=False)
_safe_call(_LIB.LGBM_BoosterPredictForCSR(
self.handle,
ptr_indptr,
ctypes.c_int32(type_ptr_indptr),
csr.indices.ctypes.data_as(ctypes.POINTER(ctypes.c_int32)),
ptr_data,
ctypes.c_int(type_ptr_data),
ctypes.c_int64(len(csr.indptr)),
ctypes.c_int64(len(csr.data)),
ctypes.c_int64(csr.shape[1]),
ctypes.c_int(predict_type),
ctypes.c_int(num_iteration),
c_str(self.pred_parameter),
ctypes.byref(out_num_preds),
preds.ctypes.data_as(ctypes.POINTER(ctypes.c_double))))
if n_preds != out_num_preds.value:
raise ValueError("Wrong length for predict results")
return preds, nrow
nrow = len(csr.indptr) - 1
if nrow > MAX_INT32:
sections = [0] + list(np.arange(start=MAX_INT32, stop=nrow, step=MAX_INT32)) + [nrow]
# __get_num_preds() cannot work with nrow > MAX_INT32, so calculate overall number of predictions piecemeal
n_preds = [self.__get_num_preds(num_iteration, i, predict_type) for i in np.diff(sections)]
n_preds_sections = np.array([0] + n_preds, dtype=np.intp).cumsum()
preds = np.zeros(sum(n_preds), dtype=np.float64)
for (start_idx, end_idx), (start_idx_pred, end_idx_pred) in zip_(zip_(sections, sections[1:]),
zip_(n_preds_sections, n_preds_sections[1:])):
# avoid memory consumption by arrays concatenation operations
inner_predict(csr[start_idx:end_idx], num_iteration, predict_type, preds[start_idx_pred:end_idx_pred])
return preds, nrow
else:
return inner_predict(csr, num_iteration, predict_type)
|
python
|
def __pred_for_csr(self, csr, num_iteration, predict_type):
"""Predict for a CSR data."""
def inner_predict(csr, num_iteration, predict_type, preds=None):
nrow = len(csr.indptr) - 1
n_preds = self.__get_num_preds(num_iteration, nrow, predict_type)
if preds is None:
preds = np.zeros(n_preds, dtype=np.float64)
elif len(preds.shape) != 1 or len(preds) != n_preds:
raise ValueError("Wrong length of pre-allocated predict array")
out_num_preds = ctypes.c_int64(0)
ptr_indptr, type_ptr_indptr, __ = c_int_array(csr.indptr)
ptr_data, type_ptr_data, _ = c_float_array(csr.data)
assert csr.shape[1] <= MAX_INT32
csr.indices = csr.indices.astype(np.int32, copy=False)
_safe_call(_LIB.LGBM_BoosterPredictForCSR(
self.handle,
ptr_indptr,
ctypes.c_int32(type_ptr_indptr),
csr.indices.ctypes.data_as(ctypes.POINTER(ctypes.c_int32)),
ptr_data,
ctypes.c_int(type_ptr_data),
ctypes.c_int64(len(csr.indptr)),
ctypes.c_int64(len(csr.data)),
ctypes.c_int64(csr.shape[1]),
ctypes.c_int(predict_type),
ctypes.c_int(num_iteration),
c_str(self.pred_parameter),
ctypes.byref(out_num_preds),
preds.ctypes.data_as(ctypes.POINTER(ctypes.c_double))))
if n_preds != out_num_preds.value:
raise ValueError("Wrong length for predict results")
return preds, nrow
nrow = len(csr.indptr) - 1
if nrow > MAX_INT32:
sections = [0] + list(np.arange(start=MAX_INT32, stop=nrow, step=MAX_INT32)) + [nrow]
# __get_num_preds() cannot work with nrow > MAX_INT32, so calculate overall number of predictions piecemeal
n_preds = [self.__get_num_preds(num_iteration, i, predict_type) for i in np.diff(sections)]
n_preds_sections = np.array([0] + n_preds, dtype=np.intp).cumsum()
preds = np.zeros(sum(n_preds), dtype=np.float64)
for (start_idx, end_idx), (start_idx_pred, end_idx_pred) in zip_(zip_(sections, sections[1:]),
zip_(n_preds_sections, n_preds_sections[1:])):
# avoid memory consumption by arrays concatenation operations
inner_predict(csr[start_idx:end_idx], num_iteration, predict_type, preds[start_idx_pred:end_idx_pred])
return preds, nrow
else:
return inner_predict(csr, num_iteration, predict_type)
|
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] |
Predict for a CSR data.
|
[
"Predict",
"for",
"a",
"CSR",
"data",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/basic.py#L570-L619
|
train
|
Predict for a CSR data.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(111) + chr(378 - 329) + chr(0b10111 + 0o32) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2473 - 2420) + chr(0b1100 + 0o44), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(52) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(633 - 580) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(909 - 856), 26839 - 26831), ehT0Px3KOsy9(chr(0b110000) + chr(0b10000 + 0o137) + chr(0b110001) + chr(54) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(2347 - 2297) + '\x33' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(1536 - 1488) + chr(111) + chr(49) + chr(53) + chr(0b1111 + 0o50), 11226 - 11218), ehT0Px3KOsy9(chr(993 - 945) + '\157' + '\062' + '\062' + chr(0b10 + 0o63), 0b1000), ehT0Px3KOsy9(chr(965 - 917) + '\157' + chr(0b100011 + 0o20), 0o10), ehT0Px3KOsy9(chr(1808 - 1760) + '\157' + chr(0b110001) + chr(0b110010 + 0o5) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(675 - 627) + chr(111) + chr(51) + chr(0b110001 + 0o4), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + '\063' + chr(871 - 820) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(1189 - 1139) + chr(55) + chr(0b11101 + 0o31), 0b1000), ehT0Px3KOsy9(chr(1293 - 1245) + '\157' + chr(528 - 479) + chr(0b11000 + 0o33) + '\065', 37420 - 37412), ehT0Px3KOsy9(chr(1183 - 1135) + chr(111) + chr(656 - 607) + chr(2753 - 2699) + chr(0b100101 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(0b100110 + 0o15) + '\x31' + chr(0b10111 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(51) + chr(48) + chr(1655 - 1602), 52467 - 52459), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100100 + 0o15) + '\x37' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + '\063' + chr(0b10101 + 0o35), 56180 - 56172), ehT0Px3KOsy9(chr(352 - 304) + '\x6f' + chr(0b111 + 0o52) + chr(0b10111 + 0o35) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\067' + chr(0b10 + 0o65), 3931 - 3923), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(11018 - 10907) + chr(0b110011) + chr(0b110101) + chr(2253 - 2205), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(662 - 613) + '\x31' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10100 + 0o35) + chr(955 - 900) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + chr(0b110011) + chr(1247 - 1198), 46518 - 46510), ehT0Px3KOsy9(chr(48) + chr(0b100000 + 0o117) + '\x32' + chr(0b101101 + 0o3) + '\x34', 52507 - 52499), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101 + 0o56) + '\061' + '\x34', 38072 - 38064), ehT0Px3KOsy9('\x30' + chr(2624 - 2513) + chr(50) + chr(0b110111) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(425 - 376) + '\062' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(1135 - 1087) + chr(0b1101111) + chr(0b101000 + 0o11) + chr(0b110011) + chr(0b110001 + 0o4), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(950 - 902) + chr(0b100 + 0o56), 0o10), ehT0Px3KOsy9(chr(2240 - 2192) + '\157' + '\063' + '\x31' + chr(0b1000 + 0o54), 8), ehT0Px3KOsy9('\x30' + chr(0b101010 + 0o105) + '\x36' + '\067', 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(0b110011) + chr(51) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(842 - 731) + '\062' + '\061' + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100010 + 0o21) + chr(0b10100 + 0o41) + chr(0b11001 + 0o34), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b110100) + chr(0b11111 + 0o27), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101010 + 0o105) + chr(1236 - 1186) + chr(54) + chr(0b100111 + 0o20), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + '\x35' + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'f'), chr(0b1100100) + chr(3104 - 3003) + '\143' + chr(0b1101111) + chr(4791 - 4691) + '\x65')(chr(0b110 + 0o157) + chr(0b1010010 + 0o42) + chr(0b1100110) + chr(45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def w_BH8YJib9Wy(oVre8I6UXc3b, mn3aa_XdWyYO, MWCus7xfQEVr, HhRWEpkdoQ2Q):
def mImcegR59LzY(mn3aa_XdWyYO, MWCus7xfQEVr, HhRWEpkdoQ2Q, rFir39ju85_Z=None):
Jo1kWDNwrwXo = c2A0yzQpDQB3(mn3aa_XdWyYO.indptr) - ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001), 0b1000)
bqYSRg4Tq_Zm = oVre8I6UXc3b.__get_num_preds(MWCus7xfQEVr, Jo1kWDNwrwXo, HhRWEpkdoQ2Q)
if rFir39ju85_Z is None:
rFir39ju85_Z = WqUC3KWvYVup.zeros(bqYSRg4Tq_Zm, dtype=WqUC3KWvYVup.float64)
elif c2A0yzQpDQB3(xafqLlk3kkUe(rFir39ju85_Z, xafqLlk3kkUe(SXOLrMavuUCe(b'&I\x95tc<\xf8\x03\xc1s\x1d\x7f'), chr(9873 - 9773) + '\145' + chr(99) + '\x6f' + chr(0b1100100) + '\x65')(chr(0b101101 + 0o110) + chr(116) + '\146' + chr(45) + chr(0b111000)))) != ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49), 8) or c2A0yzQpDQB3(rFir39ju85_Z) != bqYSRg4Tq_Zm:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1fZ\x8fCbP\xf3\n\xfbd\nu\xff\xd1;Q\xb9\xb7\x1c7\x06\xd3\x84 \x1cx\xf0\xa9\xdewp/\xa7\xa8^\xbf\xf8\xcd\x07\xc5:I\x99'), chr(8932 - 8832) + chr(101) + '\x63' + '\x6f' + chr(0b1100100) + chr(3948 - 3847))(chr(0b1110101) + chr(0b111 + 0o155) + chr(0b110111 + 0o57) + '\x2d' + chr(56)))
zoNCWRPqUisM = RyQ4N1viUrfz.c_int64(ehT0Px3KOsy9(chr(48) + chr(0b110111 + 0o70) + chr(1555 - 1507), 8))
(yudH07W1I9C2, UDgv4k6S4nZw, TMyVieBJrDe1) = HejncvTt92yQ(mn3aa_XdWyYO.indptr)
(CpHPNNBVusHU, MpGjAnm5ItSt, VNGQdHSFPrso) = aE3U0E0rKI4Q(mn3aa_XdWyYO.ULnjp6D6efFH)
assert xafqLlk3kkUe(mn3aa_XdWyYO, xafqLlk3kkUe(SXOLrMavuUCe(b'&I\x95tc<\xf8\x03\xc1s\x1d\x7f'), chr(100) + '\145' + '\x63' + chr(1534 - 1423) + chr(100) + '\x65')('\x75' + chr(9344 - 9228) + chr(0b10101 + 0o121) + '\x2d' + chr(0b111000)))[ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001), 8)] <= QZsOosr_cCcJ
mn3aa_XdWyYO.pIcoaXENl5Pw = mn3aa_XdWyYO.indices.astype(WqUC3KWvYVup.int32, copy=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(184 - 136), 8))
RuZt6f14FvYg(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\x04o\xa2`Z2\xf0\x00\xe6w\x1bo\x8f\xcc8\x15\xa0\xa6\r\\\x08\xcd\xab\x1c-'), '\144' + chr(0b1010110 + 0o17) + chr(9195 - 9096) + chr(111) + chr(0b1100100) + chr(101))('\x75' + chr(116) + chr(0b1001111 + 0o27) + chr(669 - 624) + '\x38'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bP\xb4XH\x01\xd95\xf1y$e'), '\144' + chr(7066 - 6965) + '\143' + '\x6f' + chr(9592 - 9492) + '\x65')(chr(0b1110010 + 0o3) + chr(116) + chr(102) + '\055' + '\x38')), yudH07W1I9C2, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'+w\x89CqC\xad'), chr(100) + '\x65' + chr(0b100000 + 0o103) + '\x6f' + '\144' + chr(0b1001011 + 0o32))(chr(4377 - 4260) + '\x74' + '\x66' + chr(45) + chr(0b101100 + 0o14)))(UDgv4k6S4nZw), xafqLlk3kkUe(mn3aa_XdWyYO.indices.ctypes, xafqLlk3kkUe(SXOLrMavuUCe(b',I\x94LZ\x11\xec'), chr(8377 - 8277) + chr(6785 - 6684) + '\x63' + chr(5065 - 4954) + chr(0b1100100) + '\145')(chr(117) + '\164' + chr(0b11101 + 0o111) + chr(0b101101) + chr(2005 - 1949)))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x18g\xa9cQ5\xcd'), '\144' + chr(101) + chr(0b1001111 + 0o24) + chr(0b1101111) + '\x64' + chr(7484 - 7383))(chr(117) + chr(116) + '\x66' + chr(0b101101) + '\x38'))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'+w\x89CqC\xad'), chr(100) + chr(0b1100101) + chr(0b1000011 + 0o40) + chr(0b11011 + 0o124) + chr(0b1100100) + chr(7056 - 6955))(chr(117) + chr(116) + '\x66' + chr(1613 - 1568) + chr(56))))), CpHPNNBVusHU, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'+w\x89Cq'), chr(0b1100100) + chr(7641 - 7540) + '\143' + '\157' + chr(3992 - 3892) + '\145')(chr(8091 - 7974) + chr(0b1110100) + '\x66' + chr(0b1 + 0o54) + chr(2101 - 2045)))(MpGjAnm5ItSt), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'+w\x89CqF\xab'), chr(100) + '\145' + chr(0b1100011) + '\157' + '\144' + '\145')(chr(0b1110101) + '\164' + chr(0b1000000 + 0o46) + chr(0b101101) + chr(56)))(c2A0yzQpDQB3(xafqLlk3kkUe(mn3aa_XdWyYO, xafqLlk3kkUe(SXOLrMavuUCe(b'!F\x84]q\x02'), '\144' + chr(0b11011 + 0o112) + chr(99) + '\157' + chr(2345 - 2245) + chr(0b1100101))('\x75' + chr(408 - 292) + chr(4077 - 3975) + chr(45) + '\x38')))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'+w\x89CqF\xab'), chr(0b11110 + 0o106) + chr(0b1010 + 0o133) + chr(99) + '\157' + '\x64' + chr(101))('\x75' + chr(0b1110100) + chr(0b101100 + 0o72) + chr(45) + chr(56)))(c2A0yzQpDQB3(xafqLlk3kkUe(mn3aa_XdWyYO, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1dd\x8eGuF\xdbY\xf0e8U'), chr(100) + '\145' + '\x63' + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(116) + '\146' + chr(0b101101) + chr(0b1100 + 0o54))))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'+w\x89CqF\xab'), chr(0b1101 + 0o127) + '\x65' + '\x63' + chr(0b1011000 + 0o27) + chr(0b1011001 + 0o13) + chr(0b1100101))('\165' + chr(13245 - 13129) + chr(0b1010110 + 0o20) + '\x2d' + '\070'))(xafqLlk3kkUe(mn3aa_XdWyYO, xafqLlk3kkUe(SXOLrMavuUCe(b'&I\x95tc<\xf8\x03\xc1s\x1d\x7f'), '\x64' + '\x65' + chr(0b101110 + 0o65) + chr(0b1101111) + chr(100) + chr(0b1100101))('\165' + chr(116) + chr(8743 - 8641) + chr(0b11111 + 0o16) + chr(0b111000)))[ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(49), 8)]), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'+w\x89Cq'), '\x64' + '\x65' + '\x63' + chr(10905 - 10794) + '\x64' + chr(0b10101 + 0o120))('\165' + chr(0b10010 + 0o142) + chr(102) + chr(0b101101) + chr(2447 - 2391)))(HhRWEpkdoQ2Q), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'+w\x89Cq'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(7443 - 7332) + '\144' + '\145')(chr(0b1011111 + 0o26) + '\x74' + '\146' + chr(0b101101) + chr(56)))(MWCus7xfQEVr), ZYHUZuTony_e(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'8Z\x85IZ\x00\xfe\x1d\xf4n\x1bi\xba\xcc'), '\144' + chr(0b111111 + 0o46) + '\143' + '\x6f' + chr(2247 - 2147) + chr(3154 - 3053))(chr(117) + '\x74' + '\146' + chr(0b101101) + chr(1886 - 1830)))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'*Q\x92Hc'), '\x64' + chr(0b1100101) + chr(0b1010101 + 0o16) + chr(0b1101111) + chr(0b101100 + 0o70) + '\x65')(chr(11638 - 11521) + chr(0b11110 + 0o126) + '\x66' + chr(1762 - 1717) + chr(56)))(zoNCWRPqUisM), xafqLlk3kkUe(rFir39ju85_Z.ctypes, xafqLlk3kkUe(SXOLrMavuUCe(b',I\x94LZ\x11\xec'), '\144' + chr(0b1100101) + '\143' + chr(8616 - 8505) + chr(0b101101 + 0o67) + chr(7639 - 7538))(chr(0b1110101) + chr(0b1110100) + chr(0b1011 + 0o133) + '\055' + chr(0b101110 + 0o12)))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x18g\xa9cQ5\xcd'), chr(0b1100100) + '\145' + chr(99) + chr(0b1000111 + 0o50) + '\144' + chr(0b11 + 0o142))(chr(0b11 + 0o162) + chr(9214 - 9098) + chr(102) + '\055' + chr(0b111000)))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'+w\x84Bp\x12\xf3\n'), chr(100) + '\145' + '\143' + '\157' + chr(1309 - 1209) + chr(0b1100101))(chr(117) + '\164' + chr(0b100110 + 0o100) + '\x2d' + '\070'))))))
if bqYSRg4Tq_Zm != xafqLlk3kkUe(zoNCWRPqUisM, xafqLlk3kkUe(SXOLrMavuUCe(b'\x19E\x8dJR%\xdd^\xa6U=W'), '\x64' + '\145' + '\x63' + chr(8511 - 8400) + chr(0b1100100) + chr(0b1001111 + 0o26))('\165' + '\164' + '\146' + chr(0b11 + 0o52) + '\x38')):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1fZ\x8fCbP\xf3\n\xfbd\nu\xff\xd82\x03\xe9\xb5\x0b\x7f\x03\xd6\x8b;_k\xe1\xbf\xcf;t.'), '\144' + '\x65' + chr(6063 - 5964) + chr(111) + chr(100) + chr(7649 - 7548))('\x75' + chr(116) + chr(0b111 + 0o137) + chr(45) + chr(56)))
return (rFir39ju85_Z, Jo1kWDNwrwXo)
Jo1kWDNwrwXo = c2A0yzQpDQB3(mn3aa_XdWyYO.indptr) - ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2379 - 2330), 8)
if Jo1kWDNwrwXo > QZsOosr_cCcJ:
osRv5CFR3cO5 = [ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + '\x30', 8)] + YyaZ4tpXu4lf(WqUC3KWvYVup.arange(start=QZsOosr_cCcJ, stop=Jo1kWDNwrwXo, step=QZsOosr_cCcJ)) + [Jo1kWDNwrwXo]
bqYSRg4Tq_Zm = [oVre8I6UXc3b.__get_num_preds(MWCus7xfQEVr, WVxHKyX45z_L, HhRWEpkdoQ2Q) for WVxHKyX45z_L in WqUC3KWvYVup.diff(osRv5CFR3cO5)]
xKD0Yh4QcwiY = WqUC3KWvYVup.array([ehT0Px3KOsy9(chr(48) + chr(8015 - 7904) + '\060', 8)] + bqYSRg4Tq_Zm, dtype=WqUC3KWvYVup.intp).i0lzZW3r00ue()
rFir39ju85_Z = WqUC3KWvYVup.zeros(xkxBmo49x2An(bqYSRg4Tq_Zm), dtype=WqUC3KWvYVup.float64)
for ((NOt5Gkf5z9g4, p6zNIQAtD3F5), (FNrwdZbft4BN, _FdqonpnclGx)) in vfsAGwmLBtRS(vfsAGwmLBtRS(osRv5CFR3cO5, osRv5CFR3cO5[ehT0Px3KOsy9('\060' + chr(0b1011 + 0o144) + chr(0b110001), 8):]), vfsAGwmLBtRS(xKD0Yh4QcwiY, xKD0Yh4QcwiY[ehT0Px3KOsy9(chr(1678 - 1630) + chr(111) + chr(0b110001), 8):])):
mImcegR59LzY(mn3aa_XdWyYO[NOt5Gkf5z9g4:p6zNIQAtD3F5], MWCus7xfQEVr, HhRWEpkdoQ2Q, rFir39ju85_Z[FNrwdZbft4BN:_FdqonpnclGx])
return (rFir39ju85_Z, Jo1kWDNwrwXo)
else:
return mImcegR59LzY(mn3aa_XdWyYO, MWCus7xfQEVr, HhRWEpkdoQ2Q)
|
Microsoft/LightGBM
|
python-package/lightgbm/basic.py
|
_InnerPredictor.__pred_for_csc
|
def __pred_for_csc(self, csc, num_iteration, predict_type):
"""Predict for a CSC data."""
nrow = csc.shape[0]
if nrow > MAX_INT32:
return self.__pred_for_csr(csc.tocsr(), num_iteration, predict_type)
n_preds = self.__get_num_preds(num_iteration, nrow, predict_type)
preds = np.zeros(n_preds, dtype=np.float64)
out_num_preds = ctypes.c_int64(0)
ptr_indptr, type_ptr_indptr, __ = c_int_array(csc.indptr)
ptr_data, type_ptr_data, _ = c_float_array(csc.data)
assert csc.shape[0] <= MAX_INT32
csc.indices = csc.indices.astype(np.int32, copy=False)
_safe_call(_LIB.LGBM_BoosterPredictForCSC(
self.handle,
ptr_indptr,
ctypes.c_int32(type_ptr_indptr),
csc.indices.ctypes.data_as(ctypes.POINTER(ctypes.c_int32)),
ptr_data,
ctypes.c_int(type_ptr_data),
ctypes.c_int64(len(csc.indptr)),
ctypes.c_int64(len(csc.data)),
ctypes.c_int64(csc.shape[0]),
ctypes.c_int(predict_type),
ctypes.c_int(num_iteration),
c_str(self.pred_parameter),
ctypes.byref(out_num_preds),
preds.ctypes.data_as(ctypes.POINTER(ctypes.c_double))))
if n_preds != out_num_preds.value:
raise ValueError("Wrong length for predict results")
return preds, nrow
|
python
|
def __pred_for_csc(self, csc, num_iteration, predict_type):
"""Predict for a CSC data."""
nrow = csc.shape[0]
if nrow > MAX_INT32:
return self.__pred_for_csr(csc.tocsr(), num_iteration, predict_type)
n_preds = self.__get_num_preds(num_iteration, nrow, predict_type)
preds = np.zeros(n_preds, dtype=np.float64)
out_num_preds = ctypes.c_int64(0)
ptr_indptr, type_ptr_indptr, __ = c_int_array(csc.indptr)
ptr_data, type_ptr_data, _ = c_float_array(csc.data)
assert csc.shape[0] <= MAX_INT32
csc.indices = csc.indices.astype(np.int32, copy=False)
_safe_call(_LIB.LGBM_BoosterPredictForCSC(
self.handle,
ptr_indptr,
ctypes.c_int32(type_ptr_indptr),
csc.indices.ctypes.data_as(ctypes.POINTER(ctypes.c_int32)),
ptr_data,
ctypes.c_int(type_ptr_data),
ctypes.c_int64(len(csc.indptr)),
ctypes.c_int64(len(csc.data)),
ctypes.c_int64(csc.shape[0]),
ctypes.c_int(predict_type),
ctypes.c_int(num_iteration),
c_str(self.pred_parameter),
ctypes.byref(out_num_preds),
preds.ctypes.data_as(ctypes.POINTER(ctypes.c_double))))
if n_preds != out_num_preds.value:
raise ValueError("Wrong length for predict results")
return preds, nrow
|
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",",
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] |
Predict for a CSC data.
|
[
"Predict",
"for",
"a",
"CSC",
"data",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/basic.py#L621-L653
|
train
|
Predict for a CSC data.
|
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(2779 - 2726), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(619 - 564) + chr(0b0 + 0o67), 50047 - 50039), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b101110 + 0o3) + chr(2337 - 2285), 0o10), ehT0Px3KOsy9(chr(696 - 648) + chr(3371 - 3260) + '\063' + '\065' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + chr(0b110010) + '\x35' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + '\x37' + '\060', 58046 - 58038), ehT0Px3KOsy9('\x30' + chr(10181 - 10070) + '\061' + '\061' + '\x34', 8), ehT0Px3KOsy9('\060' + chr(0b1100000 + 0o17) + chr(50) + chr(743 - 695) + chr(1984 - 1931), 45308 - 45300), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110110) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(12095 - 11984) + chr(1295 - 1240) + '\x35', 59946 - 59938), ehT0Px3KOsy9('\x30' + chr(3808 - 3697) + '\061' + '\065', 28514 - 28506), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b11111 + 0o120) + chr(49) + '\065' + chr(0b11110 + 0o24), 0o10), ehT0Px3KOsy9(chr(2104 - 2056) + chr(111) + chr(0b10001 + 0o43) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(607 - 559) + '\157' + chr(480 - 430) + chr(49) + chr(631 - 582), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + chr(1458 - 1407) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(51) + chr(49) + '\x37', 54688 - 54680), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\061' + chr(53), 0o10), ehT0Px3KOsy9(chr(828 - 780) + chr(111) + '\065', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b101000 + 0o107) + '\061' + chr(0b10010 + 0o36), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b110 + 0o52) + chr(1637 - 1583), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(534 - 484) + chr(1346 - 1292), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10157 - 10046) + chr(51) + chr(0b110101) + chr(696 - 641), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(53) + '\065', 49397 - 49389), ehT0Px3KOsy9(chr(1585 - 1537) + chr(0b111010 + 0o65) + '\x33' + chr(50) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1321 - 1271) + chr(0b110011) + '\060', 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + '\065' + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(1517 - 1406) + chr(53) + chr(0b110010), 61731 - 61723), ehT0Px3KOsy9('\060' + '\157' + chr(2127 - 2076) + '\x31' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1010110 + 0o31) + chr(1621 - 1570) + '\x37', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(49) + chr(0b100011 + 0o15), 10 - 2), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(4051 - 3940) + chr(907 - 856) + chr(49) + '\x34', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(1765 - 1713) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110000 + 0o3) + '\060' + chr(0b10110 + 0o41), 0o10), ehT0Px3KOsy9(chr(233 - 185) + chr(7360 - 7249) + chr(1300 - 1251) + '\064' + chr(1438 - 1388), 40434 - 40426), ehT0Px3KOsy9(chr(1149 - 1101) + chr(0b1101111) + '\x31' + chr(50) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(596 - 548) + chr(4306 - 4195) + chr(0b101111 + 0o2) + chr(572 - 521), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(1305 - 1250), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011 + 0o3) + chr(0b110011 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1320 - 1271) + chr(1648 - 1594) + chr(50), 41162 - 41154)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x35' + chr(0b11 + 0o55), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'+'), '\x64' + '\x65' + '\x63' + chr(11906 - 11795) + '\144' + chr(0b100 + 0o141))(chr(0b1110101) + '\x74' + '\146' + '\x2d' + chr(2947 - 2891)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def rqGjfP5tLvPZ(oVre8I6UXc3b, d96ZjXTtEi9F, MWCus7xfQEVr, HhRWEpkdoQ2Q):
Jo1kWDNwrwXo = d96ZjXTtEi9F.nauYfLglTpcb[ehT0Px3KOsy9(chr(1312 - 1264) + '\157' + chr(2169 - 2121), 0b1000)]
if Jo1kWDNwrwXo > QZsOosr_cCcJ:
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'Z`<\x9a\xc9\\\x13\xe3]OR\tU\xfb'), chr(2104 - 2004) + '\x65' + chr(0b1101 + 0o126) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(0b1001 + 0o154) + chr(0b1110100) + chr(0b1100110) + chr(720 - 675) + chr(0b111000)))(xafqLlk3kkUe(d96ZjXTtEi9F, xafqLlk3kkUe(SXOLrMavuUCe(b'qP/\x9b\xde'), '\144' + '\x65' + '\x63' + chr(0b101010 + 0o105) + chr(100) + '\145')(chr(0b1110101) + chr(0b10001 + 0o143) + chr(102) + chr(45) + '\070'))(), MWCus7xfQEVr, HhRWEpkdoQ2Q)
bqYSRg4Tq_Zm = oVre8I6UXc3b.__get_num_preds(MWCus7xfQEVr, Jo1kWDNwrwXo, HhRWEpkdoQ2Q)
rFir39ju85_Z = WqUC3KWvYVup.zeros(bqYSRg4Tq_Zm, dtype=WqUC3KWvYVup.float64)
zoNCWRPqUisM = RyQ4N1viUrfz.c_int64(ehT0Px3KOsy9(chr(173 - 125) + chr(111) + '\x30', 8))
(yudH07W1I9C2, UDgv4k6S4nZw, TMyVieBJrDe1) = HejncvTt92yQ(d96ZjXTtEi9F.indptr)
(CpHPNNBVusHU, MpGjAnm5ItSt, VNGQdHSFPrso) = aE3U0E0rKI4Q(d96ZjXTtEi9F.ULnjp6D6efFH)
assert xafqLlk3kkUe(d96ZjXTtEi9F, xafqLlk3kkUe(SXOLrMavuUCe(b'k^9\xb1\xcat+\xe9fMn\x08'), chr(8495 - 8395) + chr(0b10 + 0o143) + chr(0b1100011) + chr(111) + chr(100) + chr(1107 - 1006))('\165' + chr(0b10000 + 0o144) + chr(0b101101 + 0o71) + chr(0b10001 + 0o34) + chr(56)))[ehT0Px3KOsy9('\060' + chr(0b1100001 + 0o16) + chr(0b1000 + 0o50), 8)] <= QZsOosr_cCcJ
d96ZjXTtEi9F.pIcoaXENl5Pw = d96ZjXTtEi9F.indices.astype(WqUC3KWvYVup.int32, copy=ehT0Px3KOsy9(chr(48) + chr(111) + '\x30', 8))
RuZt6f14FvYg(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'Ix\x0e\xa5\xf3z#\xeaAIh\x18v\xfbz\xabx.qN\xe9\xe4\xac~\x92'), chr(100) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(100) + '\145')(chr(0b1110101) + chr(4973 - 4857) + '\x66' + chr(0b101101) + chr(1875 - 1819)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'VG\x18\x9d\xe1I\n\xdfVGW\x12'), chr(0b1100100) + chr(8865 - 8764) + chr(0b1010101 + 0o16) + '\x6f' + chr(100) + chr(922 - 821))('\165' + '\x74' + '\x66' + chr(0b101101) + chr(0b101001 + 0o17))), yudH07W1I9C2, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'f`%\x86\xd8\x0b~'), chr(7140 - 7040) + '\x65' + chr(0b1100010 + 0o1) + chr(308 - 197) + '\144' + '\x65')('\165' + '\164' + '\146' + '\055' + chr(56)))(UDgv4k6S4nZw), xafqLlk3kkUe(d96ZjXTtEi9F.indices.ctypes, xafqLlk3kkUe(SXOLrMavuUCe(b'a^8\x89\xf3Y?'), chr(100) + '\145' + chr(99) + chr(7243 - 7132) + chr(7311 - 7211) + chr(0b1010111 + 0o16))('\165' + '\164' + chr(2024 - 1922) + chr(0b101101) + chr(428 - 372)))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'Up\x05\xa6\xf8}\x1e'), '\x64' + chr(1534 - 1433) + chr(99) + chr(0b1101111) + '\x64' + chr(0b1011101 + 0o10))('\x75' + chr(13201 - 13085) + chr(102) + '\055' + chr(56)))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'f`%\x86\xd8\x0b~'), chr(2830 - 2730) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111 + 0o0) + chr(7762 - 7662) + '\145')('\165' + chr(2562 - 2446) + '\x66' + chr(45) + chr(0b111000))))), CpHPNNBVusHU, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'f`%\x86\xd8'), chr(100) + '\x65' + '\143' + '\x6f' + chr(0b100101 + 0o77) + '\x65')(chr(1038 - 921) + chr(0b1011101 + 0o27) + '\146' + chr(0b101101) + '\070'))(MpGjAnm5ItSt), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'f`%\x86\xd8\x0ex'), chr(0b1100100) + chr(1186 - 1085) + '\143' + chr(111) + '\144' + chr(0b1100010 + 0o3))(chr(1599 - 1482) + chr(2921 - 2805) + chr(0b1001101 + 0o31) + '\x2d' + chr(0b111000)))(c2A0yzQpDQB3(xafqLlk3kkUe(d96ZjXTtEi9F, xafqLlk3kkUe(SXOLrMavuUCe(b'lQ(\x98\xd8J'), '\144' + chr(101) + chr(99) + '\x6f' + chr(0b10001 + 0o123) + chr(0b1000000 + 0o45))('\165' + '\164' + chr(2818 - 2716) + chr(1547 - 1502) + chr(56))))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'f`%\x86\xd8\x0ex'), '\144' + chr(9306 - 9205) + chr(3696 - 3597) + chr(111) + '\144' + '\x65')(chr(0b1000011 + 0o62) + '\164' + '\x66' + '\055' + chr(56)))(c2A0yzQpDQB3(xafqLlk3kkUe(d96ZjXTtEi9F, xafqLlk3kkUe(SXOLrMavuUCe(b'Ps"\x82\xdc\x0e\x08\xb3W[K"'), chr(100) + '\145' + chr(99) + '\x6f' + chr(0b1100100) + chr(5247 - 5146))(chr(0b1110101) + '\x74' + '\146' + chr(45) + '\x38')))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'f`%\x86\xd8\x0ex'), '\x64' + chr(5258 - 5157) + chr(0b1100011) + '\157' + '\144' + '\x65')('\x75' + chr(0b1001010 + 0o52) + chr(0b1010000 + 0o26) + chr(0b10101 + 0o30) + chr(56)))(xafqLlk3kkUe(d96ZjXTtEi9F, xafqLlk3kkUe(SXOLrMavuUCe(b'k^9\xb1\xcat+\xe9fMn\x08'), chr(100) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(100) + '\x65')(chr(12334 - 12217) + chr(116) + '\146' + chr(0b101101) + '\x38'))[ehT0Px3KOsy9(chr(1305 - 1257) + '\x6f' + '\060', 8)]), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'f`%\x86\xd8'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(0b1000011 + 0o54) + chr(3409 - 3309) + '\145')('\x75' + chr(10076 - 9960) + chr(102) + chr(45) + chr(0b101001 + 0o17)))(HhRWEpkdoQ2Q), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'f`%\x86\xd8'), chr(0b1100100) + chr(101) + chr(0b110 + 0o135) + chr(0b1101111) + chr(3463 - 3363) + '\145')(chr(5479 - 5362) + chr(6531 - 6415) + '\x66' + '\x2d' + chr(56)))(MWCus7xfQEVr), ZYHUZuTony_e(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'uM)\x8c\xf3H-\xf7SPh\x1eC\xfb'), chr(3524 - 3424) + chr(101) + chr(99) + '\x6f' + chr(0b111111 + 0o45) + chr(0b1100101))(chr(117) + chr(116) + chr(0b1100110) + '\x2d' + chr(1063 - 1007)))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'gF>\x8d\xca'), chr(0b1001100 + 0o30) + chr(101) + '\x63' + '\157' + chr(0b1011000 + 0o14) + '\x65')(chr(4425 - 4308) + '\164' + chr(3649 - 3547) + '\055' + '\x38'))(zoNCWRPqUisM), xafqLlk3kkUe(rFir39ju85_Z.ctypes, xafqLlk3kkUe(SXOLrMavuUCe(b'a^8\x89\xf3Y?'), '\x64' + '\x65' + chr(8505 - 8406) + chr(11967 - 11856) + chr(9151 - 9051) + '\145')(chr(12528 - 12411) + chr(0b1101011 + 0o11) + chr(2389 - 2287) + '\055' + chr(56)))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'Up\x05\xa6\xf8}\x1e'), chr(7052 - 6952) + chr(101) + chr(0b1100011) + '\157' + '\x64' + chr(2439 - 2338))(chr(117) + '\x74' + chr(4438 - 4336) + chr(0b111 + 0o46) + '\x38'))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'f`(\x87\xd9Z \xe0'), chr(1131 - 1031) + chr(6018 - 5917) + chr(0b1000110 + 0o35) + '\x6f' + '\144' + '\x65')('\165' + chr(116) + '\146' + '\055' + chr(1490 - 1434)))))))
if bqYSRg4Tq_Zm != xafqLlk3kkUe(zoNCWRPqUisM, xafqLlk3kkUe(SXOLrMavuUCe(b'TR!\x8f\xfbm\x0e\xb4\x01kN '), chr(100) + chr(9744 - 9643) + chr(99) + chr(111) + chr(100) + chr(0b11110 + 0o107))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(56))):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'RM#\x86\xcb\x18 \xe0\\Zy\x02\x06\xefp\xbd1=wm\xe2\xff\x8cY\xf1\xeaIY\xb9s\xbc\xbf'), chr(100) + chr(0b101 + 0o140) + chr(0b101101 + 0o66) + chr(0b1101111) + chr(0b1100001 + 0o3) + chr(0b1100101))('\165' + chr(0b1110100) + '\x66' + chr(472 - 427) + chr(0b100010 + 0o26)))
return (rFir39ju85_Z, Jo1kWDNwrwXo)
|
Microsoft/LightGBM
|
python-package/lightgbm/basic.py
|
Dataset.__init_from_np2d
|
def __init_from_np2d(self, mat, params_str, ref_dataset):
"""Initialize data from a 2-D numpy matrix."""
if len(mat.shape) != 2:
raise ValueError('Input numpy.ndarray must be 2 dimensional')
self.handle = ctypes.c_void_p()
if mat.dtype == np.float32 or mat.dtype == np.float64:
data = np.array(mat.reshape(mat.size), dtype=mat.dtype, copy=False)
else:
# change non-float data to float data, need to copy
data = np.array(mat.reshape(mat.size), dtype=np.float32)
ptr_data, type_ptr_data, _ = c_float_array(data)
_safe_call(_LIB.LGBM_DatasetCreateFromMat(
ptr_data,
ctypes.c_int(type_ptr_data),
ctypes.c_int(mat.shape[0]),
ctypes.c_int(mat.shape[1]),
ctypes.c_int(C_API_IS_ROW_MAJOR),
c_str(params_str),
ref_dataset,
ctypes.byref(self.handle)))
return self
|
python
|
def __init_from_np2d(self, mat, params_str, ref_dataset):
"""Initialize data from a 2-D numpy matrix."""
if len(mat.shape) != 2:
raise ValueError('Input numpy.ndarray must be 2 dimensional')
self.handle = ctypes.c_void_p()
if mat.dtype == np.float32 or mat.dtype == np.float64:
data = np.array(mat.reshape(mat.size), dtype=mat.dtype, copy=False)
else:
# change non-float data to float data, need to copy
data = np.array(mat.reshape(mat.size), dtype=np.float32)
ptr_data, type_ptr_data, _ = c_float_array(data)
_safe_call(_LIB.LGBM_DatasetCreateFromMat(
ptr_data,
ctypes.c_int(type_ptr_data),
ctypes.c_int(mat.shape[0]),
ctypes.c_int(mat.shape[1]),
ctypes.c_int(C_API_IS_ROW_MAJOR),
c_str(params_str),
ref_dataset,
ctypes.byref(self.handle)))
return self
|
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] |
Initialize data from a 2-D numpy matrix.
|
[
"Initialize",
"data",
"from",
"a",
"2",
"-",
"D",
"numpy",
"matrix",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/basic.py#L848-L870
|
train
|
Initialize data from a 2 - D numpy matrix.
|
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(8612 - 8501) + chr(0b11001 + 0o30) + chr(0b10 + 0o57) + chr(0b110101), 12970 - 12962), ehT0Px3KOsy9(chr(0b110000) + chr(8070 - 7959) + chr(182 - 132) + chr(0b100110 + 0o16) + chr(0b1110 + 0o45), 0b1000), ehT0Px3KOsy9(chr(48) + chr(5740 - 5629) + chr(49) + chr(51) + chr(2703 - 2650), 56659 - 56651), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001 + 0o6) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(0b101101 + 0o5) + chr(51 - 1), 22274 - 22266), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + '\x31' + chr(1524 - 1469) + '\062', 0o10), ehT0Px3KOsy9(chr(1320 - 1272) + chr(6201 - 6090) + '\063' + chr(0b110 + 0o52) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10101 + 0o36) + '\x34' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + chr(0b110010) + chr(53) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(0b100011 + 0o22) + chr(1909 - 1861), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1223 - 1168) + chr(2281 - 2233), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001101 + 0o42) + chr(626 - 575) + '\x30' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11916 - 11805) + chr(0b1010 + 0o47) + chr(2551 - 2499) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + chr(0b110011) + chr(0b10011 + 0o42) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(1897 - 1849) + chr(0b1101011 + 0o4) + chr(51) + '\x37' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(0b110101) + chr(1309 - 1254), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101010 + 0o7) + '\066' + '\067', 9362 - 9354), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + chr(104 - 54) + chr(0b110101 + 0o1) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(0b101001 + 0o10) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(6903 - 6792) + chr(540 - 490) + chr(0b110100) + chr(0b0 + 0o64), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(609 - 559) + '\066' + '\066', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b0 + 0o157) + '\x31' + '\x36' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(49) + '\066' + chr(1141 - 1089), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001 + 0o0) + '\065' + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + '\062' + '\064', 55120 - 55112), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1734 - 1684) + '\x37' + '\x34', 0b1000), ehT0Px3KOsy9(chr(659 - 611) + '\157' + chr(0b1001 + 0o51) + '\x33' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + chr(0b110010) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + '\x34' + chr(1854 - 1806), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100000 + 0o17) + chr(2208 - 2157) + chr(0b110111) + chr(0b101000 + 0o15), 13826 - 13818), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(48) + '\x32', 3649 - 3641), ehT0Px3KOsy9(chr(1552 - 1504) + chr(111) + chr(49) + '\062' + chr(0b110010), 7359 - 7351), ehT0Px3KOsy9(chr(48) + chr(6208 - 6097) + chr(1824 - 1775) + chr(548 - 497) + '\x35', 8), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(656 - 607) + '\065' + chr(50), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\x32' + '\x33', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(1596 - 1547) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110000 + 0o77) + '\061' + '\067' + '\x32', 8), ehT0Px3KOsy9(chr(82 - 34) + chr(111) + '\063' + '\062' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(1579 - 1531) + '\x6f' + chr(1933 - 1884) + chr(0b110000) + chr(49), 4965 - 4957)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + '\x35' + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'c'), '\144' + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\x64' + chr(101))(chr(5368 - 5251) + chr(0b11101 + 0o127) + '\x66' + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def amgqxgZMhY0u(oVre8I6UXc3b, B46D_S81_RKA, y8TFjPLtx2XU, GRJHndOUHML4):
if c2A0yzQpDQB3(xafqLlk3kkUe(B46D_S81_RKA, xafqLlk3kkUe(SXOLrMavuUCe(b'#\xc2(g\xb46\xa7\x89\xff\x18[\xa4'), chr(100) + '\x65' + chr(0b1100011) + chr(0b1101111) + '\x64' + '\x65')('\165' + chr(7482 - 7366) + '\146' + chr(0b101101) + chr(353 - 297)))) != ehT0Px3KOsy9(chr(0b110000) + chr(10585 - 10474) + '\062', 33154 - 33146):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x04\xcd-K\xa6Z\xae\x90\xc6\x18A\xe8\t\x88\x9b\x9d\x05\xd7\xb0\x84\xdb\x06\x07\x1e\xf4\xde\xf86\xd2\xdd\xa6;0z\x04\xa0\xa4\x15\xbf !'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(111) + chr(100) + chr(101))(chr(0b1101100 + 0o11) + '\x74' + chr(4607 - 4505) + chr(45) + chr(56)))
oVre8I6UXc3b.SxTuMqFZdzZx = RyQ4N1viUrfz.c_void_p()
if xafqLlk3kkUe(B46D_S81_RKA, xafqLlk3kkUe(SXOLrMavuUCe(b"'\xf0\x0b\x07\x9b1\xae\x80\xc6 \x0f\x8d"), chr(100) + chr(0b1001000 + 0o35) + chr(0b1101 + 0o126) + '\x6f' + '\144' + chr(9780 - 9679))(chr(117) + chr(552 - 436) + '\x66' + chr(45) + '\070')) == xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'+\xcf2_\xa6I\xf2'), chr(0b11000 + 0o114) + '\x65' + '\x63' + chr(0b1101111) + chr(0b1100100) + '\145')(chr(6827 - 6710) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(56))) or xafqLlk3kkUe(B46D_S81_RKA, xafqLlk3kkUe(SXOLrMavuUCe(b"'\xf0\x0b\x07\x9b1\xae\x80\xc6 \x0f\x8d"), '\144' + chr(0b1100101) + chr(0b10001 + 0o122) + chr(0b1101111) + '\144' + chr(101))(chr(0b11001 + 0o134) + chr(0b111001 + 0o73) + chr(6650 - 6548) + chr(514 - 469) + chr(56))) == xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'+\xcf2_\xa6L\xf4'), chr(5032 - 4932) + chr(1478 - 1377) + '\143' + '\x6f' + '\144' + chr(0b1100101))('\x75' + chr(522 - 406) + chr(102) + '\x2d' + chr(56))):
ULnjp6D6efFH = WqUC3KWvYVup.B0ePDhpqxN5n(B46D_S81_RKA.reshape(B46D_S81_RKA.NLcc3BCJnQka), dtype=B46D_S81_RKA.jSV9IKnemH7K, copy=ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + chr(48), 44220 - 44212))
else:
ULnjp6D6efFH = WqUC3KWvYVup.B0ePDhpqxN5n(B46D_S81_RKA.reshape(B46D_S81_RKA.NLcc3BCJnQka), dtype=WqUC3KWvYVup.float32)
(CpHPNNBVusHU, MpGjAnm5ItSt, VNGQdHSFPrso) = aE3U0E0rKI4Q(ULnjp6D6efFH)
RuZt6f14FvYg(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\xe4\x1fs\x8d>\xa1\x91\xca\x1b]\xb2$\x9e\x9f\x8e\x03\xd3\x8f\xd6\xd9\x1e9\x0b\xa0'), chr(100) + chr(101) + chr(0b1011010 + 0o11) + '\157' + '\144' + '\x65')(chr(7476 - 7359) + '\164' + chr(0b1010010 + 0o24) + chr(1450 - 1405) + chr(0b111000)))(CpHPNNBVusHU, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'.\xfc4P\xa6'), chr(100) + chr(101) + chr(805 - 706) + chr(3536 - 3425) + chr(0b1100100) + chr(101))(chr(0b110111 + 0o76) + chr(0b1110100) + chr(0b1100110) + chr(696 - 651) + '\070'))(MpGjAnm5ItSt), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'.\xfc4P\xa6'), '\144' + chr(7986 - 7885) + '\x63' + chr(0b1000100 + 0o53) + chr(8339 - 8239) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(7611 - 7509) + chr(61 - 16) + chr(900 - 844)))(xafqLlk3kkUe(B46D_S81_RKA, xafqLlk3kkUe(SXOLrMavuUCe(b'#\xc2(g\xb46\xa7\x89\xff\x18[\xa4'), chr(5719 - 5619) + chr(101) + chr(99) + '\x6f' + chr(0b1100100) + '\x65')('\165' + '\164' + '\146' + chr(0b11101 + 0o20) + chr(56)))[ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\060', 8)]), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'.\xfc4P\xa6'), chr(0b1 + 0o143) + '\x65' + chr(0b110101 + 0o56) + chr(0b111100 + 0o63) + chr(9368 - 9268) + chr(101))(chr(0b1110101) + chr(0b11001 + 0o133) + chr(0b101001 + 0o75) + '\055' + chr(0b100111 + 0o21)))(xafqLlk3kkUe(B46D_S81_RKA, xafqLlk3kkUe(SXOLrMavuUCe(b'#\xc2(g\xb46\xa7\x89\xff\x18[\xa4'), '\x64' + chr(101) + '\x63' + '\x6f' + '\x64' + chr(3685 - 3584))(chr(0b110000 + 0o105) + chr(116) + chr(0b1100110) + chr(0b11111 + 0o16) + '\x38'))[ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100110 + 0o13), 39087 - 39079)]), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'.\xfc4P\xa6'), chr(100) + chr(0b110000 + 0o65) + chr(0b1 + 0o142) + chr(4561 - 4450) + '\144' + chr(101))(chr(7719 - 7602) + chr(2640 - 2524) + '\146' + chr(0b101101) + '\x38'))(byFH6eKxx6Ur), ZYHUZuTony_e(y8TFjPLtx2XU), GRJHndOUHML4, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'/\xda/[\xb4'), '\144' + chr(7474 - 7373) + chr(3859 - 3760) + chr(0b101111 + 0o100) + chr(100) + '\x65')(chr(0b1110101) + chr(4206 - 4090) + chr(3847 - 3745) + chr(771 - 726) + chr(56)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xdb\tK\x9f\x0b\x86\xbf\xcf\x12b\xbe'), chr(0b1100100) + '\x65' + '\x63' + chr(111) + chr(0b1100100) + chr(101))(chr(117) + chr(0b10000 + 0o144) + chr(2941 - 2839) + chr(1130 - 1085) + chr(0b111000))))))
return oVre8I6UXc3b
|
Microsoft/LightGBM
|
python-package/lightgbm/basic.py
|
Dataset.__init_from_list_np2d
|
def __init_from_list_np2d(self, mats, params_str, ref_dataset):
"""Initialize data from a list of 2-D numpy matrices."""
ncol = mats[0].shape[1]
nrow = np.zeros((len(mats),), np.int32)
if mats[0].dtype == np.float64:
ptr_data = (ctypes.POINTER(ctypes.c_double) * len(mats))()
else:
ptr_data = (ctypes.POINTER(ctypes.c_float) * len(mats))()
holders = []
type_ptr_data = None
for i, mat in enumerate(mats):
if len(mat.shape) != 2:
raise ValueError('Input numpy.ndarray must be 2 dimensional')
if mat.shape[1] != ncol:
raise ValueError('Input arrays must have same number of columns')
nrow[i] = mat.shape[0]
if mat.dtype == np.float32 or mat.dtype == np.float64:
mats[i] = np.array(mat.reshape(mat.size), dtype=mat.dtype, copy=False)
else:
# change non-float data to float data, need to copy
mats[i] = np.array(mat.reshape(mat.size), dtype=np.float32)
chunk_ptr_data, chunk_type_ptr_data, holder = c_float_array(mats[i])
if type_ptr_data is not None and chunk_type_ptr_data != type_ptr_data:
raise ValueError('Input chunks must have same type')
ptr_data[i] = chunk_ptr_data
type_ptr_data = chunk_type_ptr_data
holders.append(holder)
self.handle = ctypes.c_void_p()
_safe_call(_LIB.LGBM_DatasetCreateFromMats(
ctypes.c_int(len(mats)),
ctypes.cast(ptr_data, ctypes.POINTER(ctypes.POINTER(ctypes.c_double))),
ctypes.c_int(type_ptr_data),
nrow.ctypes.data_as(ctypes.POINTER(ctypes.c_int32)),
ctypes.c_int(ncol),
ctypes.c_int(C_API_IS_ROW_MAJOR),
c_str(params_str),
ref_dataset,
ctypes.byref(self.handle)))
return self
|
python
|
def __init_from_list_np2d(self, mats, params_str, ref_dataset):
"""Initialize data from a list of 2-D numpy matrices."""
ncol = mats[0].shape[1]
nrow = np.zeros((len(mats),), np.int32)
if mats[0].dtype == np.float64:
ptr_data = (ctypes.POINTER(ctypes.c_double) * len(mats))()
else:
ptr_data = (ctypes.POINTER(ctypes.c_float) * len(mats))()
holders = []
type_ptr_data = None
for i, mat in enumerate(mats):
if len(mat.shape) != 2:
raise ValueError('Input numpy.ndarray must be 2 dimensional')
if mat.shape[1] != ncol:
raise ValueError('Input arrays must have same number of columns')
nrow[i] = mat.shape[0]
if mat.dtype == np.float32 or mat.dtype == np.float64:
mats[i] = np.array(mat.reshape(mat.size), dtype=mat.dtype, copy=False)
else:
# change non-float data to float data, need to copy
mats[i] = np.array(mat.reshape(mat.size), dtype=np.float32)
chunk_ptr_data, chunk_type_ptr_data, holder = c_float_array(mats[i])
if type_ptr_data is not None and chunk_type_ptr_data != type_ptr_data:
raise ValueError('Input chunks must have same type')
ptr_data[i] = chunk_ptr_data
type_ptr_data = chunk_type_ptr_data
holders.append(holder)
self.handle = ctypes.c_void_p()
_safe_call(_LIB.LGBM_DatasetCreateFromMats(
ctypes.c_int(len(mats)),
ctypes.cast(ptr_data, ctypes.POINTER(ctypes.POINTER(ctypes.c_double))),
ctypes.c_int(type_ptr_data),
nrow.ctypes.data_as(ctypes.POINTER(ctypes.c_int32)),
ctypes.c_int(ncol),
ctypes.c_int(C_API_IS_ROW_MAJOR),
c_str(params_str),
ref_dataset,
ctypes.byref(self.handle)))
return self
|
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] |
Initialize data from a list of 2-D numpy matrices.
|
[
"Initialize",
"data",
"from",
"a",
"list",
"of",
"2",
"-",
"D",
"numpy",
"matrices",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/basic.py#L872-L917
|
train
|
Initialize data from a list of 2 - D numpy matrices.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(245 - 196) + '\065' + chr(0b110011), 52913 - 52905), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(6213 - 6102) + chr(553 - 503) + chr(0b1011 + 0o45) + chr(1550 - 1498), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b110101) + chr(1800 - 1747), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(2059 - 2010) + '\064' + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + '\064' + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(11709 - 11598) + chr(0b10 + 0o61) + chr(48) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7699 - 7588) + chr(0b110010) + chr(0b10101 + 0o34), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100000 + 0o25) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1600 - 1547) + chr(48), 29845 - 29837), ehT0Px3KOsy9('\060' + chr(0b101011 + 0o104) + chr(54) + chr(1231 - 1178), ord("\x08")), ehT0Px3KOsy9(chr(1213 - 1165) + chr(111) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10100 + 0o133) + chr(50) + '\063' + chr(308 - 255), 13792 - 13784), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(2117 - 2068) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110000 + 0o3) + chr(0b0 + 0o66) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\067' + chr(539 - 490), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b111 + 0o54) + chr(0b110100) + chr(0b101111 + 0o7), 36824 - 36816), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(0b110110) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x34' + chr(2477 - 2424), 48725 - 48717), ehT0Px3KOsy9('\060' + chr(0b1101 + 0o142) + chr(0b11000 + 0o33) + chr(0b110001) + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + chr(10045 - 9934) + chr(0b110001) + chr(0b110001) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010100 + 0o33) + chr(0b100111 + 0o13) + chr(49) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1195 - 1146) + chr(50) + chr(53), 8625 - 8617), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(0b110010) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1957 - 1907) + chr(0b110111) + chr(1957 - 1903), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\063' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10111 + 0o33) + chr(0b10000 + 0o40) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000 + 0o147) + chr(0b1110 + 0o43) + '\062' + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\061' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(0b11010 + 0o27) + chr(0b110111) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(678 - 630) + chr(0b1010001 + 0o36) + '\x31' + '\062' + chr(0b110101), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11110 + 0o24) + chr(52) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + '\064' + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110110) + chr(1977 - 1922), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(1679 - 1628) + chr(0b1000 + 0o57), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1010 + 0o50) + chr(0b110100) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(7213 - 7102) + chr(544 - 494) + '\x37' + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(7499 - 7388) + chr(50) + chr(49) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1223 - 1112) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + '\066' + '\062', 50389 - 50381), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1101 + 0o45) + chr(2549 - 2496) + chr(55), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(7098 - 6987) + chr(2556 - 2503) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'E'), '\x64' + '\145' + chr(5336 - 5237) + chr(419 - 308) + chr(100) + chr(0b100011 + 0o102))(chr(0b1010011 + 0o42) + '\x74' + chr(102) + chr(0b10 + 0o53) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def gHpzOaBevVj6(oVre8I6UXc3b, UIOkpJXQelRc, y8TFjPLtx2XU, GRJHndOUHML4):
pXcbF3KnA7Tx = UIOkpJXQelRc[ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b0 + 0o60), 8)].nauYfLglTpcb[ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001), 0o10)]
Jo1kWDNwrwXo = WqUC3KWvYVup.zeros((c2A0yzQpDQB3(UIOkpJXQelRc),), WqUC3KWvYVup.int32)
if xafqLlk3kkUe(UIOkpJXQelRc[ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(0b11110 + 0o22), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\xd7\xfbZ+\x89\x7fLE}7\xd6'), '\144' + chr(101) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(101))('\x75' + chr(0b1110100) + '\146' + chr(0b101101) + '\x38')) == xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\r\xe8\xc2\x02\x16\xf4%'), '\144' + '\x65' + chr(0b1100011) + '\157' + '\144' + '\145')(chr(4727 - 4610) + chr(0b1010010 + 0o42) + chr(1508 - 1406) + '\055' + chr(0b111000))):
CpHPNNBVusHU = (RyQ4N1viUrfz.POINTER(RyQ4N1viUrfz.c_double) * c2A0yzQpDQB3(UIOkpJXQelRc))()
else:
CpHPNNBVusHU = (RyQ4N1viUrfz.POINTER(RyQ4N1viUrfz.c_float) * c2A0yzQpDQB3(UIOkpJXQelRc))()
tINMgGqbOr6V = []
MpGjAnm5ItSt = None
for (WVxHKyX45z_L, B46D_S81_RKA) in YlkZvXL8qwsX(UIOkpJXQelRc):
if c2A0yzQpDQB3(xafqLlk3kkUe(B46D_S81_RKA, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xe5\xd8:\x04\x8evE|Ec\xff'), chr(9461 - 9361) + '\x65' + chr(6934 - 6835) + chr(0b1101111) + '\144' + '\x65')('\x75' + chr(2697 - 2581) + chr(7023 - 6921) + '\055' + chr(56)))) != ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(514 - 464), 0o10):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'"\xea\xdd\x16\x16\xe2\x7f\\EEy\xb3\xa1\x91\xd8\x94BD\xb2m\xe6 d\xca\xbf\xe52\xa9Lu\xc7OZ:\xc8\xcf\xe1i\x1c\xce\x07'), chr(6660 - 6560) + '\x65' + chr(99) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(117) + '\164' + chr(0b1100110) + chr(159 - 114) + chr(0b111000)))
if xafqLlk3kkUe(B46D_S81_RKA, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xe5\xd8:\x04\x8evE|Ec\xff'), '\144' + chr(101) + chr(4153 - 4054) + '\157' + chr(0b1100100) + chr(101))('\x75' + chr(6846 - 6730) + chr(0b1100110) + chr(45) + '\070'))[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001), 8)] != pXcbF3KnA7Tx:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'"\xea\xdd\x16\x16\xe2p[ZTy\xee\xef\x98\xcc\x95D\x05\xa3,\xfd07\xcd\xfe\xea2\xa9\x10 \xceDR-\x86\xd3\xee&\x11\xc0\x07\xf1\xc0\r\x11'), chr(0b1100100) + chr(0b11110 + 0o107) + '\143' + chr(0b1010111 + 0o30) + chr(0b1100100) + chr(0b1100101))(chr(0b110111 + 0o76) + chr(116) + chr(0b110100 + 0o62) + '\x2d' + '\070'))
Jo1kWDNwrwXo[WVxHKyX45z_L] = B46D_S81_RKA.nauYfLglTpcb[ehT0Px3KOsy9(chr(48) + chr(0b110011 + 0o74) + '\x30', 8)]
if xafqLlk3kkUe(B46D_S81_RKA, xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\xd7\xfbZ+\x89\x7fLE}7\xd6'), chr(0b1100100) + chr(0b1100101) + '\143' + '\157' + chr(7676 - 7576) + '\145')('\165' + chr(0b1100 + 0o150) + '\x66' + '\055' + '\070')) == xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\r\xe8\xc2\x02\x16\xf1#'), chr(0b1100100) + chr(0b11111 + 0o106) + '\143' + chr(0b1101111) + '\x64' + '\145')(chr(117) + chr(0b111000 + 0o74) + chr(102) + chr(0b11100 + 0o21) + chr(2286 - 2230))) or xafqLlk3kkUe(B46D_S81_RKA, xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\xd7\xfbZ+\x89\x7fLE}7\xd6'), '\x64' + chr(0b1100101) + chr(99) + chr(111) + '\144' + chr(0b1100101))('\165' + chr(116) + '\146' + '\055' + chr(56))) == xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\r\xe8\xc2\x02\x16\xf4%'), chr(0b1100100) + chr(0b11 + 0o142) + chr(4705 - 4606) + chr(0b1101111) + '\x64' + '\x65')(chr(0b1110101) + '\164' + chr(102) + chr(394 - 349) + '\x38')):
UIOkpJXQelRc[WVxHKyX45z_L] = WqUC3KWvYVup.B0ePDhpqxN5n(B46D_S81_RKA.reshape(B46D_S81_RKA.NLcc3BCJnQka), dtype=B46D_S81_RKA.jSV9IKnemH7K, copy=ehT0Px3KOsy9(chr(535 - 487) + '\x6f' + chr(48), 8))
else:
UIOkpJXQelRc[WVxHKyX45z_L] = WqUC3KWvYVup.B0ePDhpqxN5n(B46D_S81_RKA.reshape(B46D_S81_RKA.NLcc3BCJnQka), dtype=WqUC3KWvYVup.float32)
(ZM0P6x8ziZ4i, JE4HtfRrcXlS, qCkMX1NSJIeI) = aE3U0E0rKI4Q(UIOkpJXQelRc[WVxHKyX45z_L])
if MpGjAnm5ItSt is not None and JE4HtfRrcXlS != MpGjAnm5ItSt:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'"\xea\xdd\x16\x16\xe2rA][k\xee\xef\x98\xcc\x95D\x05\xa3,\xfd07\xcd\xfe\xea2\xa9\n,\xd3C'), chr(0b101110 + 0o66) + chr(3367 - 3266) + chr(99) + '\157' + chr(6644 - 6544) + chr(0b1100101))('\x75' + chr(116) + chr(8556 - 8454) + chr(45) + chr(0b111000)))
CpHPNNBVusHU[WVxHKyX45z_L] = ZM0P6x8ziZ4i
MpGjAnm5ItSt = JE4HtfRrcXlS
xafqLlk3kkUe(tINMgGqbOr6V, xafqLlk3kkUe(SXOLrMavuUCe(b'\n\xf4\xdd\x06\x0c\xa6'), chr(8646 - 8546) + chr(101) + chr(1868 - 1769) + chr(0b1101111) + chr(100) + '\x65')(chr(0b1110101) + '\164' + '\x66' + chr(1411 - 1366) + '\070'))(qCkMX1NSJIeI)
oVre8I6UXc3b.SxTuMqFZdzZx = RyQ4N1viUrfz.c_void_p()
RuZt6f14FvYg(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b"'\xc3\xef.=\x86p]IFe\xe9\x8c\x87\xdc\x87D@\x8d?\xe48Z\xdf\xeb\xf4"), '\x64' + chr(0b1100101) + chr(99) + '\157' + chr(1903 - 1803) + '\x65')(chr(12659 - 12542) + chr(0b1100111 + 0o15) + '\146' + chr(45) + '\070'))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xdb\xc4\r\x16'), '\144' + chr(101) + '\x63' + chr(10202 - 10091) + chr(100) + chr(3061 - 2960))('\165' + '\164' + chr(8804 - 8702) + '\055' + chr(535 - 479)))(c2A0yzQpDQB3(UIOkpJXQelRc)), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xe5\xde\x17'), chr(0b101011 + 0o71) + chr(235 - 134) + chr(0b1100011) + chr(111) + '\x64' + chr(0b1100101))('\165' + '\164' + '\x66' + chr(1625 - 1580) + '\x38'))(CpHPNNBVusHU, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b';\xcb\xe4-6\x87C'), chr(9124 - 9024) + chr(0b1100101) + chr(4269 - 4170) + '\157' + chr(0b1100100) + chr(101))(chr(117) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(0b101101 + 0o13)))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b';\xcb\xe4-6\x87C'), '\x64' + '\x65' + '\x63' + chr(0b1101111) + '\144' + chr(0b1100101))(chr(0b1100000 + 0o25) + chr(5877 - 5761) + chr(7016 - 6914) + chr(0b101010 + 0o3) + chr(0b111000)))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xdb\xc9\x0c\x17\xa0}L'), '\x64' + chr(0b1100010 + 0o3) + chr(6508 - 6409) + chr(0b1101111) + '\x64' + chr(101))('\165' + chr(116) + chr(0b1100110) + '\x2d' + chr(56)))))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xdb\xc4\r\x16'), chr(9169 - 9069) + chr(0b1100101) + '\143' + '\157' + chr(0b1100100) + '\145')(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(45) + chr(0b111000)))(MpGjAnm5ItSt), xafqLlk3kkUe(Jo1kWDNwrwXo.ctypes, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f\xe5\xd9\x02=\xa3b'), '\144' + chr(101) + chr(1928 - 1829) + chr(0b100111 + 0o110) + '\144' + '\x65')('\165' + chr(0b1110100) + chr(9624 - 9522) + chr(45) + '\x38'))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b';\xcb\xe4-6\x87C'), chr(0b111001 + 0o53) + chr(0b1010111 + 0o16) + chr(0b11011 + 0o110) + chr(111) + chr(100) + chr(0b110 + 0o137))(chr(0b1010110 + 0o37) + chr(0b1011110 + 0o26) + '\146' + '\055' + '\x38'))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xdb\xc4\r\x16\xf1#'), '\x64' + chr(101) + '\x63' + '\157' + chr(0b1100100) + '\x65')(chr(7151 - 7034) + chr(116) + chr(0b1100110) + chr(45) + chr(0b100 + 0o64))))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xdb\xc4\r\x16'), chr(0b1000111 + 0o35) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(0b1101 + 0o130))('\x75' + '\164' + '\x66' + chr(0b101101) + chr(2862 - 2806)))(pXcbF3KnA7Tx), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xdb\xc4\r\x16'), '\x64' + chr(0b10011 + 0o122) + '\x63' + '\157' + '\x64' + chr(101))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(930 - 885) + '\070'))(byFH6eKxx6Ur), ZYHUZuTony_e(y8TFjPLtx2XU), GRJHndOUHML4, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\t\xfd\xdf\x06\x04'), chr(0b1100100) + chr(101) + chr(6437 - 6338) + '\x6f' + '\x64' + '\x65')('\x75' + chr(0b110010 + 0o102) + chr(0b101001 + 0o75) + '\055' + chr(0b111000)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'8\xfc\xf9\x16/\xb3WsLOZ\xe5'), chr(0b11111 + 0o105) + '\x65' + '\143' + chr(4979 - 4868) + chr(0b1100100) + '\x65')(chr(0b1101101 + 0o10) + '\164' + '\146' + '\055' + '\070')))))
return oVre8I6UXc3b
|
Microsoft/LightGBM
|
python-package/lightgbm/basic.py
|
Dataset.__init_from_csr
|
def __init_from_csr(self, csr, params_str, ref_dataset):
"""Initialize data from a CSR matrix."""
if len(csr.indices) != len(csr.data):
raise ValueError('Length mismatch: {} vs {}'.format(len(csr.indices), len(csr.data)))
self.handle = ctypes.c_void_p()
ptr_indptr, type_ptr_indptr, __ = c_int_array(csr.indptr)
ptr_data, type_ptr_data, _ = c_float_array(csr.data)
assert csr.shape[1] <= MAX_INT32
csr.indices = csr.indices.astype(np.int32, copy=False)
_safe_call(_LIB.LGBM_DatasetCreateFromCSR(
ptr_indptr,
ctypes.c_int(type_ptr_indptr),
csr.indices.ctypes.data_as(ctypes.POINTER(ctypes.c_int32)),
ptr_data,
ctypes.c_int(type_ptr_data),
ctypes.c_int64(len(csr.indptr)),
ctypes.c_int64(len(csr.data)),
ctypes.c_int64(csr.shape[1]),
c_str(params_str),
ref_dataset,
ctypes.byref(self.handle)))
return self
|
python
|
def __init_from_csr(self, csr, params_str, ref_dataset):
"""Initialize data from a CSR matrix."""
if len(csr.indices) != len(csr.data):
raise ValueError('Length mismatch: {} vs {}'.format(len(csr.indices), len(csr.data)))
self.handle = ctypes.c_void_p()
ptr_indptr, type_ptr_indptr, __ = c_int_array(csr.indptr)
ptr_data, type_ptr_data, _ = c_float_array(csr.data)
assert csr.shape[1] <= MAX_INT32
csr.indices = csr.indices.astype(np.int32, copy=False)
_safe_call(_LIB.LGBM_DatasetCreateFromCSR(
ptr_indptr,
ctypes.c_int(type_ptr_indptr),
csr.indices.ctypes.data_as(ctypes.POINTER(ctypes.c_int32)),
ptr_data,
ctypes.c_int(type_ptr_data),
ctypes.c_int64(len(csr.indptr)),
ctypes.c_int64(len(csr.data)),
ctypes.c_int64(csr.shape[1]),
c_str(params_str),
ref_dataset,
ctypes.byref(self.handle)))
return self
|
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] |
Initialize data from a CSR matrix.
|
[
"Initialize",
"data",
"from",
"a",
"CSR",
"matrix",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/basic.py#L919-L943
|
train
|
Initialize data from a CSR matrix.
|
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(0b101010 + 0o10) + chr(1539 - 1487) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(1952 - 1904) + '\157' + '\x33' + chr(55) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + chr(69 - 20) + chr(0b100001 + 0o22) + chr(447 - 398), 13543 - 13535), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11100 + 0o27) + chr(0b110111) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011000 + 0o27) + chr(0b110 + 0o61) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10111 + 0o32) + chr(49) + chr(631 - 576), 12545 - 12537), ehT0Px3KOsy9('\060' + chr(0b101010 + 0o105) + chr(0b10100 + 0o36) + chr(0b110011) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + '\x31' + '\064' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + chr(51) + '\063' + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(51) + chr(0b110001), 3072 - 3064), ehT0Px3KOsy9(chr(1723 - 1675) + chr(0b1000 + 0o147) + chr(1372 - 1323) + '\067' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(1466 - 1418) + chr(9882 - 9771) + chr(0b110001) + chr(0b110011) + '\063', 38565 - 38557), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + '\x32' + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2474 - 2424) + chr(0b101001 + 0o12) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101000 + 0o7) + chr(0b110011) + '\x30' + chr(50), 1889 - 1881), ehT0Px3KOsy9('\060' + chr(2675 - 2564) + chr(0b10101 + 0o35) + chr(0b110100) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\065' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100011 + 0o14) + chr(0b110011) + chr(0b110000) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + '\x34' + chr(508 - 460), 52319 - 52311), ehT0Px3KOsy9('\x30' + chr(0b1011111 + 0o20) + chr(1978 - 1929) + chr(0b101000 + 0o10), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\060' + chr(54), 33031 - 33023), ehT0Px3KOsy9(chr(841 - 793) + '\157' + chr(2132 - 2082) + '\065' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b10010 + 0o41) + '\063', 8), ehT0Px3KOsy9(chr(48) + chr(346 - 235) + chr(688 - 637) + chr(0b101010 + 0o11) + '\x31', 8), ehT0Px3KOsy9('\x30' + chr(923 - 812) + chr(1324 - 1275) + chr(52) + chr(0b110011), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\x36' + chr(60 - 6), 0o10), ehT0Px3KOsy9('\x30' + chr(0b110110 + 0o71) + '\061' + chr(0b101000 + 0o11) + chr(0b100111 + 0o12), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b101111 + 0o4) + '\064', 23272 - 23264), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + '\063' + chr(0b1000 + 0o57) + chr(0b110110), 8), ehT0Px3KOsy9('\060' + chr(5030 - 4919) + chr(0b1111 + 0o46) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(12220 - 12109) + chr(51) + chr(52) + '\060', 64850 - 64842), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(0b110100), 38498 - 38490), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(907 - 855) + chr(1752 - 1699), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(49) + '\063', 0b1000), ehT0Px3KOsy9(chr(563 - 515) + '\x6f' + chr(0b11010 + 0o31) + chr(0b1011 + 0o52) + chr(1828 - 1777), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(2053 - 2002) + '\x34' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(545 - 496) + '\x36' + chr(1573 - 1519), 0o10), ehT0Px3KOsy9(chr(1750 - 1702) + chr(111) + chr(50) + chr(0b110111) + chr(0b10001 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(1468 - 1420) + chr(0b1101111) + chr(0b110010) + '\061' + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\067' + chr(454 - 401), 10866 - 10858)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(3866 - 3755) + chr(2496 - 2443) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d'), chr(0b1100100) + chr(0b1100101) + chr(5638 - 5539) + chr(435 - 324) + '\x64' + chr(3621 - 3520))(chr(0b1110101) + '\x74' + '\x66' + '\x2d' + chr(3007 - 2951)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def J14TtRqy1UZ8(oVre8I6UXc3b, mn3aa_XdWyYO, y8TFjPLtx2XU, GRJHndOUHML4):
if c2A0yzQpDQB3(xafqLlk3kkUe(mn3aa_XdWyYO, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\xb1:\x91[\x17\xda-\xb7\xec(,'), chr(2973 - 2873) + chr(0b1001011 + 0o32) + '\143' + '\x6f' + '\144' + chr(5814 - 5713))('\x75' + chr(0b1110100) + chr(9567 - 9465) + '\055' + chr(1122 - 1066)))) != c2A0yzQpDQB3(xafqLlk3kkUe(mn3aa_XdWyYO, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\xb47\x94Jy\xdbU\xbe\xbf>\x13'), chr(3530 - 3430) + '\145' + chr(99) + '\x6f' + chr(8331 - 8231) + chr(0b1010111 + 0o16))(chr(5935 - 5818) + chr(116) + chr(0b1100110) + '\055' + '\070'))):
raise q1QCh3W88sgk(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b"\xef\x9d7\x99N'\xbf\x0e\xb2\xaa\x15:\xe6\xf8\xaa\x9c\x8b\xbe\xdd(0\xdb\xbb\xa2\x1e"), chr(0b1100100) + '\145' + chr(0b1000100 + 0o37) + '\x6f' + chr(4021 - 3921) + chr(0b100010 + 0o103))('\165' + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\xcc+\x91r.\xccP\x8b\xa9\x1d1'), chr(3601 - 3501) + '\145' + chr(0b11 + 0o140) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b11100 + 0o131) + chr(11281 - 11165) + chr(5427 - 5325) + chr(45) + chr(0b111000)))(c2A0yzQpDQB3(xafqLlk3kkUe(mn3aa_XdWyYO, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\xb1:\x91[\x17\xda-\xb7\xec(,'), '\144' + chr(2184 - 2083) + chr(9797 - 9698) + chr(111) + chr(7707 - 7607) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(0b1001100 + 0o32) + '\x2d' + '\070'))), c2A0yzQpDQB3(xafqLlk3kkUe(mn3aa_XdWyYO, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\xb47\x94Jy\xdbU\xbe\xbf>\x13'), '\144' + chr(0b1010001 + 0o24) + chr(0b100001 + 0o102) + chr(911 - 800) + chr(0b1100000 + 0o4) + chr(0b1100101))('\x75' + '\164' + '\x66' + chr(183 - 138) + chr(56))))))
oVre8I6UXc3b.SxTuMqFZdzZx = RyQ4N1viUrfz.c_void_p()
(yudH07W1I9C2, UDgv4k6S4nZw, TMyVieBJrDe1) = HejncvTt92yQ(mn3aa_XdWyYO.indptr)
(CpHPNNBVusHU, MpGjAnm5ItSt, VNGQdHSFPrso) = aE3U0E0rKI4Q(mn3aa_XdWyYO.ULnjp6D6efFH)
assert xafqLlk3kkUe(mn3aa_XdWyYO, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\x99,\xa7\\\x03\xf8\x0f\x8f\xa9\x1b9'), chr(100) + chr(0b1000011 + 0o42) + '\143' + chr(10133 - 10022) + chr(0b1000101 + 0o37) + chr(101))(chr(0b1101101 + 0o10) + chr(0b1011111 + 0o25) + '\146' + chr(45) + chr(0b101010 + 0o16)))[ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1100 + 0o143) + chr(0b101101 + 0o4), ord("\x08"))] <= QZsOosr_cCcJ
mn3aa_XdWyYO.pIcoaXENl5Pw = mn3aa_XdWyYO.indices.astype(WqUC3KWvYVup.int32, copy=ehT0Px3KOsy9('\060' + chr(3190 - 3079) + '\x30', 0o10))
RuZt6f14FvYg(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xbf\x1b\xb3e\x0b\xfe\x17\xba\xaa\x1d/\xd1\xe9\xa7\xc7\xdf\xa0\xe6z)\xc5\xd8\x8a1'), chr(0b1100100) + chr(7576 - 7475) + chr(99) + '\x6f' + chr(8690 - 8590) + chr(101))(chr(117) + '\x74' + '\x66' + chr(0b11110 + 0o17) + chr(172 - 116)))(yudH07W1I9C2, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\xa70\x90N'), '\x64' + '\145' + chr(4332 - 4233) + chr(111) + '\x64' + chr(0b1100101))('\x75' + chr(116) + chr(0b1100011 + 0o3) + chr(45) + chr(295 - 239)))(UDgv4k6S4nZw), xafqLlk3kkUe(mn3aa_XdWyYO.indices.ctypes, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\x99-\x9fe.\xec'), chr(8647 - 8547) + chr(101) + '\x63' + '\157' + chr(0b1100000 + 0o4) + chr(0b1100101))(chr(2358 - 2241) + chr(0b1110100) + chr(10123 - 10021) + chr(0b101101) + chr(3004 - 2948)))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\xb7\x10\xb0n\n\xcd'), chr(0b1010100 + 0o20) + chr(7051 - 6950) + '\143' + '\157' + chr(100) + chr(0b1100101))(chr(10028 - 9911) + '\x74' + chr(102) + chr(0b0 + 0o55) + chr(0b111000)))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\xa70\x90N|\xad'), chr(7150 - 7050) + '\x65' + chr(99) + chr(0b1101111) + chr(100) + '\x65')(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(45) + '\070')))), CpHPNNBVusHU, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\xa70\x90N'), '\x64' + chr(0b110010 + 0o63) + chr(0b1011000 + 0o13) + chr(0b1101111) + chr(7031 - 6931) + chr(101))(chr(0b1110101) + chr(0b100000 + 0o124) + '\x66' + chr(0b1000 + 0o45) + '\x38'))(MpGjAnm5ItSt), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\xa70\x90Ny\xab'), '\x64' + chr(4969 - 4868) + '\x63' + '\x6f' + chr(0b1010010 + 0o22) + '\145')(chr(117) + '\164' + '\146' + chr(0b101101) + '\070'))(c2A0yzQpDQB3(xafqLlk3kkUe(mn3aa_XdWyYO, xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\x96=\x8eN='), chr(100) + chr(0b1100000 + 0o5) + '\x63' + chr(111) + chr(0b110100 + 0o60) + '\x65')(chr(9572 - 9455) + chr(0b1110100) + '\146' + chr(45) + chr(0b111000))))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\xa70\x90Ny\xab'), chr(0b0 + 0o144) + chr(0b11101 + 0o110) + '\143' + chr(0b1101111) + '\x64' + '\145')('\x75' + chr(0b1100 + 0o150) + chr(0b111101 + 0o51) + chr(45) + chr(56)))(c2A0yzQpDQB3(xafqLlk3kkUe(mn3aa_XdWyYO, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\xb47\x94Jy\xdbU\xbe\xbf>\x13'), '\144' + '\145' + chr(0b1000100 + 0o37) + chr(0b1100111 + 0o10) + '\x64' + chr(1598 - 1497))('\165' + chr(116) + '\146' + chr(1727 - 1682) + chr(1447 - 1391))))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\xa70\x90Ny\xab'), '\x64' + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(100) + chr(101))(chr(0b1110101) + '\164' + '\146' + chr(1582 - 1537) + '\x38'))(xafqLlk3kkUe(mn3aa_XdWyYO, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\x99,\xa7\\\x03\xf8\x0f\x8f\xa9\x1b9'), '\144' + '\x65' + '\143' + chr(0b111 + 0o150) + '\144' + chr(0b10111 + 0o116))(chr(117) + chr(116) + '\146' + chr(45) + chr(0b11 + 0o65)))[ehT0Px3KOsy9('\060' + chr(0b11100 + 0o123) + chr(0b110001), 8)]), ZYHUZuTony_e(y8TFjPLtx2XU), GRJHndOUHML4, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\x81+\x9b\\'), chr(6414 - 6314) + '\x65' + chr(6898 - 6799) + chr(111) + chr(100) + '\x65')(chr(0b111001 + 0o74) + chr(116) + chr(7431 - 7329) + chr(0b101000 + 0o5) + chr(56)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\x80\r\x8bw>\xd99\xbf\xa3"#'), chr(0b1000001 + 0o43) + chr(1750 - 1649) + chr(99) + '\157' + '\144' + '\x65')('\165' + chr(11909 - 11793) + chr(0b1100110) + chr(45) + '\x38')))))
return oVre8I6UXc3b
|
Microsoft/LightGBM
|
python-package/lightgbm/basic.py
|
Dataset.__init_from_csc
|
def __init_from_csc(self, csc, params_str, ref_dataset):
"""Initialize data from a CSC matrix."""
if len(csc.indices) != len(csc.data):
raise ValueError('Length mismatch: {} vs {}'.format(len(csc.indices), len(csc.data)))
self.handle = ctypes.c_void_p()
ptr_indptr, type_ptr_indptr, __ = c_int_array(csc.indptr)
ptr_data, type_ptr_data, _ = c_float_array(csc.data)
assert csc.shape[0] <= MAX_INT32
csc.indices = csc.indices.astype(np.int32, copy=False)
_safe_call(_LIB.LGBM_DatasetCreateFromCSC(
ptr_indptr,
ctypes.c_int(type_ptr_indptr),
csc.indices.ctypes.data_as(ctypes.POINTER(ctypes.c_int32)),
ptr_data,
ctypes.c_int(type_ptr_data),
ctypes.c_int64(len(csc.indptr)),
ctypes.c_int64(len(csc.data)),
ctypes.c_int64(csc.shape[0]),
c_str(params_str),
ref_dataset,
ctypes.byref(self.handle)))
return self
|
python
|
def __init_from_csc(self, csc, params_str, ref_dataset):
"""Initialize data from a CSC matrix."""
if len(csc.indices) != len(csc.data):
raise ValueError('Length mismatch: {} vs {}'.format(len(csc.indices), len(csc.data)))
self.handle = ctypes.c_void_p()
ptr_indptr, type_ptr_indptr, __ = c_int_array(csc.indptr)
ptr_data, type_ptr_data, _ = c_float_array(csc.data)
assert csc.shape[0] <= MAX_INT32
csc.indices = csc.indices.astype(np.int32, copy=False)
_safe_call(_LIB.LGBM_DatasetCreateFromCSC(
ptr_indptr,
ctypes.c_int(type_ptr_indptr),
csc.indices.ctypes.data_as(ctypes.POINTER(ctypes.c_int32)),
ptr_data,
ctypes.c_int(type_ptr_data),
ctypes.c_int64(len(csc.indptr)),
ctypes.c_int64(len(csc.data)),
ctypes.c_int64(csc.shape[0]),
c_str(params_str),
ref_dataset,
ctypes.byref(self.handle)))
return self
|
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] |
Initialize data from a CSC matrix.
|
[
"Initialize",
"data",
"from",
"a",
"CSC",
"matrix",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/basic.py#L945-L969
|
train
|
Initialize data from a CSC matrix.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(600 - 489) + chr(50) + '\x34' + chr(54), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(910 - 859) + '\066' + chr(0b110010), 1959 - 1951), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100011 + 0o14) + chr(0b110010) + chr(52) + chr(0b101010 + 0o13), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(2086 - 2036) + chr(48) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(8290 - 8179) + chr(52) + chr(896 - 847), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b110110) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(53) + '\x35', 61045 - 61037), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + '\x32' + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(50) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101110 + 0o4) + chr(53) + chr(0b101 + 0o61), 42436 - 42428), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(6842 - 6731) + '\x32' + '\061', 0o10), ehT0Px3KOsy9(chr(1079 - 1031) + chr(0b1101111) + chr(0b110010) + chr(0b10011 + 0o44) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + '\067' + chr(2873 - 2818), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(111 - 60) + chr(53), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10010 + 0o41) + chr(55) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + '\062' + '\x35' + chr(0b101111 + 0o5), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b1110 + 0o50) + '\067', 0b1000), ehT0Px3KOsy9(chr(652 - 604) + chr(111) + chr(141 - 86) + '\060', 9069 - 9061), ehT0Px3KOsy9('\060' + chr(815 - 704) + chr(0b110011) + '\x36' + '\x31', 25637 - 25629), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b0 + 0o62) + '\062' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001100 + 0o43) + chr(0b10001 + 0o42) + chr(0b101111 + 0o2) + chr(0b101011 + 0o13), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x36' + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(5063 - 4952) + chr(49) + chr(55) + chr(0b100011 + 0o16), 0o10), ehT0Px3KOsy9(chr(1701 - 1653) + chr(5669 - 5558) + chr(50) + chr(0b110000) + chr(49), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\064', 62282 - 62274), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(0b11 + 0o62), 42876 - 42868), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + '\x37' + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110101) + '\x30', 38909 - 38901), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b10000 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(48) + chr(185 - 136), 52006 - 51998), ehT0Px3KOsy9('\x30' + '\x6f' + chr(853 - 804) + '\x34' + '\067', 59624 - 59616), ehT0Px3KOsy9(chr(48) + chr(0b1101100 + 0o3) + chr(2134 - 2084) + chr(156 - 108) + chr(0b110111), 11157 - 11149), ehT0Px3KOsy9(chr(1319 - 1271) + '\157' + '\063' + '\x37' + chr(0b10010 + 0o44), 8), ehT0Px3KOsy9(chr(1860 - 1812) + chr(111) + chr(508 - 457) + chr(53) + chr(53), 0o10), ehT0Px3KOsy9(chr(956 - 908) + chr(0b1101111) + chr(0b110011) + '\x30' + chr(0b100001 + 0o23), ord("\x08")), ehT0Px3KOsy9(chr(1419 - 1371) + chr(0b110 + 0o151) + chr(51) + '\060' + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(48) + chr(1862 - 1811), 14636 - 14628), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(0b10011 + 0o35) + chr(55 - 7), 0o10), ehT0Px3KOsy9(chr(884 - 836) + chr(0b1101111) + chr(0b110010) + chr(55) + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b110111) + '\x34', 1778 - 1770)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(2749 - 2638) + chr(0b11000 + 0o35) + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x88'), '\x64' + chr(10177 - 10076) + chr(1325 - 1226) + chr(0b110111 + 0o70) + chr(100) + chr(0b1100101))('\165' + '\164' + '\146' + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def hbis5cBHuYRR(oVre8I6UXc3b, d96ZjXTtEi9F, y8TFjPLtx2XU, GRJHndOUHML4):
if c2A0yzQpDQB3(xafqLlk3kkUe(d96ZjXTtEi9F, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6\xbb\xc6\xee@,\xe8\xdc\xbf\x9bA\xcf'), chr(0b111110 + 0o46) + chr(0b1100101) + chr(6229 - 6130) + chr(0b1001111 + 0o40) + '\144' + chr(0b1001110 + 0o27))(chr(12303 - 12186) + chr(0b10011 + 0o141) + chr(7519 - 7417) + chr(0b11100 + 0o21) + chr(0b11100 + 0o34)))) != c2A0yzQpDQB3(xafqLlk3kkUe(d96ZjXTtEi9F, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\xbe\xcb\xebQB\xe9\xa4\xb6\xc8W\xf0'), chr(0b1100100) + '\145' + '\143' + chr(0b101111 + 0o100) + chr(0b1100100) + chr(5155 - 5054))(chr(117) + chr(8572 - 8456) + chr(3092 - 2990) + '\055' + chr(56)))):
raise q1QCh3W88sgk(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\x97\xcb\xe6U\x1c\x8d\xff\xba\xdd|\xd9\x8b\xfe\x96\x96\x97C\x8c\xb6\xb8FY\xfaa'), chr(4019 - 3919) + '\145' + chr(0b1010001 + 0o22) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(8877 - 8761) + chr(102) + chr(1392 - 1347) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\xc6\xd7\xeei\x15\xfe\xa1\x83\xdet\xd2'), '\x64' + chr(0b100110 + 0o77) + '\143' + '\x6f' + '\x64' + '\x65')(chr(4825 - 4708) + chr(116) + '\x66' + chr(282 - 237) + '\x38'))(c2A0yzQpDQB3(xafqLlk3kkUe(d96ZjXTtEi9F, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6\xbb\xc6\xee@,\xe8\xdc\xbf\x9bA\xcf'), '\144' + chr(5118 - 5017) + chr(99) + chr(8916 - 8805) + chr(959 - 859) + chr(5893 - 5792))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\x2d' + chr(2332 - 2276)))), c2A0yzQpDQB3(xafqLlk3kkUe(d96ZjXTtEi9F, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\xbe\xcb\xebQB\xe9\xa4\xb6\xc8W\xf0'), chr(100) + chr(0b1100101) + '\143' + chr(8702 - 8591) + chr(0b1100100) + '\x65')(chr(117) + chr(0b1010 + 0o152) + chr(0b100101 + 0o101) + '\x2d' + chr(0b111000))))))
oVre8I6UXc3b.SxTuMqFZdzZx = RyQ4N1viUrfz.c_void_p()
(yudH07W1I9C2, UDgv4k6S4nZw, TMyVieBJrDe1) = HejncvTt92yQ(d96ZjXTtEi9F.indptr)
(CpHPNNBVusHU, MpGjAnm5ItSt, VNGQdHSFPrso) = aE3U0E0rKI4Q(d96ZjXTtEi9F.ULnjp6D6efFH)
assert xafqLlk3kkUe(d96ZjXTtEi9F, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8\x93\xd0\xd8G8\xca\xfe\x87\xder\xda'), '\x64' + '\x65' + '\x63' + '\x6f' + chr(0b1100100) + chr(170 - 69))(chr(117) + chr(0b1110100) + '\x66' + chr(45) + chr(3132 - 3076)))[ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\060', ord("\x08"))] <= QZsOosr_cCcJ
d96ZjXTtEi9F.pIcoaXENl5Pw = d96ZjXTtEi9F.indices.astype(WqUC3KWvYVup.int32, copy=ehT0Px3KOsy9(chr(48) + '\157' + '\060', 8))
RuZt6f14FvYg(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xb5\xe7\xcc~0\xcc\xe6\xb2\xddt\xcc\xbc\xef\x9b\xcd\xc3]\xb7\xe4\xa1X:\xd2_'), '\144' + chr(5238 - 5137) + chr(0b1100011) + chr(111) + chr(100) + chr(101))('\165' + chr(8843 - 8727) + chr(102) + chr(0b11110 + 0o17) + chr(56)))(yudH07W1I9C2, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xad\xcc\xefU'), chr(6171 - 6071) + '\x65' + chr(99) + chr(0b1011000 + 0o27) + chr(0b101010 + 0o72) + '\145')(chr(117) + chr(0b1001111 + 0o45) + chr(6535 - 6433) + chr(0b100000 + 0o15) + '\x38'))(UDgv4k6S4nZw), xafqLlk3kkUe(d96ZjXTtEi9F.indices.ctypes, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\x93\xd1\xe0~\x15\xde'), chr(1028 - 928) + chr(0b1011 + 0o132) + chr(0b111 + 0o134) + '\x6f' + chr(0b1010 + 0o132) + chr(0b1100101))(chr(117) + chr(0b101001 + 0o113) + '\x66' + chr(45) + '\070'))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\xbd\xec\xcfu1\xff'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\x6f' + chr(0b100110 + 0o76) + '\145')(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(45) + chr(0b111000)))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xad\xcc\xefUG\x9f'), chr(100) + chr(0b1011001 + 0o14) + '\x63' + '\x6f' + chr(0b10110 + 0o116) + '\145')('\165' + chr(116) + chr(0b10001 + 0o125) + chr(0b101101) + chr(0b101001 + 0o17))))), CpHPNNBVusHU, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xad\xcc\xefU'), chr(0b110101 + 0o57) + '\x65' + chr(0b11101 + 0o106) + '\x6f' + chr(6548 - 6448) + '\145')(chr(0b1011110 + 0o27) + '\164' + chr(0b1100110) + '\x2d' + chr(0b10000 + 0o50)))(MpGjAnm5ItSt), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xad\xcc\xefUB\x99'), '\144' + '\x65' + chr(0b1100011) + chr(0b1000111 + 0o50) + chr(0b11011 + 0o111) + chr(0b110111 + 0o56))('\x75' + '\164' + chr(0b1100110) + chr(406 - 361) + chr(0b101100 + 0o14)))(c2A0yzQpDQB3(xafqLlk3kkUe(d96ZjXTtEi9F, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf\x9c\xc1\xf1U\x06'), chr(0b101011 + 0o71) + chr(0b1100101) + chr(0b1011000 + 0o13) + chr(12015 - 11904) + chr(100) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(7317 - 7215) + '\055' + chr(363 - 307))))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xad\xcc\xefUB\x99'), '\x64' + chr(9221 - 9120) + chr(99) + '\157' + chr(0b1000110 + 0o36) + chr(0b101111 + 0o66))(chr(0b100110 + 0o117) + chr(2986 - 2870) + chr(0b101100 + 0o72) + chr(45) + chr(56)))(c2A0yzQpDQB3(xafqLlk3kkUe(d96ZjXTtEi9F, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\xbe\xcb\xebQB\xe9\xa4\xb6\xc8W\xf0'), chr(7004 - 6904) + '\145' + '\143' + '\157' + chr(0b100011 + 0o101) + chr(0b1100101))(chr(3254 - 3137) + chr(0b1110100) + chr(102) + '\x2d' + chr(56))))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xad\xcc\xefUB\x99'), chr(0b1100100) + chr(0b111011 + 0o52) + chr(0b1110 + 0o125) + chr(0b1101111) + '\x64' + chr(0b1100101))('\x75' + chr(0b1110100) + chr(7297 - 7195) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(d96ZjXTtEi9F, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8\x93\xd0\xd8G8\xca\xfe\x87\xder\xda'), chr(0b1001101 + 0o27) + chr(0b101110 + 0o67) + '\x63' + chr(0b1101111) + '\144' + chr(0b1100101))(chr(117) + chr(6326 - 6210) + chr(0b110111 + 0o57) + chr(584 - 539) + '\070'))[ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(48), 8)]), ZYHUZuTony_e(y8TFjPLtx2XU), GRJHndOUHML4, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\x8b\xd7\xe4G'), chr(0b1100100) + chr(625 - 524) + chr(9071 - 8972) + chr(10776 - 10665) + chr(0b1100100) + '\145')('\x75' + chr(8213 - 8097) + chr(0b1000101 + 0o41) + chr(0b101101 + 0o0) + chr(56)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\x8a\xf1\xf4l\x05\xeb\xc8\xb7\xd4K\xc0'), chr(0b110001 + 0o63) + chr(101) + chr(0b1100011) + chr(1027 - 916) + chr(0b1100100) + '\x65')(chr(11660 - 11543) + chr(3764 - 3648) + '\x66' + '\x2d' + chr(56))))))
return oVre8I6UXc3b
|
Microsoft/LightGBM
|
python-package/lightgbm/basic.py
|
Dataset.construct
|
def construct(self):
"""Lazy init.
Returns
-------
self : Dataset
Constructed Dataset object.
"""
if self.handle is None:
if self.reference is not None:
if self.used_indices is None:
# create valid
self._lazy_init(self.data, label=self.label, reference=self.reference,
weight=self.weight, group=self.group,
init_score=self.init_score, predictor=self._predictor,
silent=self.silent, feature_name=self.feature_name, params=self.params)
else:
# construct subset
used_indices = list_to_1d_numpy(self.used_indices, np.int32, name='used_indices')
assert used_indices.flags.c_contiguous
if self.reference.group is not None:
group_info = np.array(self.reference.group).astype(int)
_, self.group = np.unique(np.repeat(range_(len(group_info)), repeats=group_info)[self.used_indices],
return_counts=True)
self.handle = ctypes.c_void_p()
params_str = param_dict_to_str(self.params)
_safe_call(_LIB.LGBM_DatasetGetSubset(
self.reference.construct().handle,
used_indices.ctypes.data_as(ctypes.POINTER(ctypes.c_int32)),
ctypes.c_int(used_indices.shape[0]),
c_str(params_str),
ctypes.byref(self.handle)))
self.data = self.reference.data
self.get_data()
if self.group is not None:
self.set_group(self.group)
if self.get_label() is None:
raise ValueError("Label should not be None.")
else:
# create train
self._lazy_init(self.data, label=self.label,
weight=self.weight, group=self.group,
init_score=self.init_score, predictor=self._predictor,
silent=self.silent, feature_name=self.feature_name,
categorical_feature=self.categorical_feature, params=self.params)
if self.free_raw_data:
self.data = None
return self
|
python
|
def construct(self):
"""Lazy init.
Returns
-------
self : Dataset
Constructed Dataset object.
"""
if self.handle is None:
if self.reference is not None:
if self.used_indices is None:
# create valid
self._lazy_init(self.data, label=self.label, reference=self.reference,
weight=self.weight, group=self.group,
init_score=self.init_score, predictor=self._predictor,
silent=self.silent, feature_name=self.feature_name, params=self.params)
else:
# construct subset
used_indices = list_to_1d_numpy(self.used_indices, np.int32, name='used_indices')
assert used_indices.flags.c_contiguous
if self.reference.group is not None:
group_info = np.array(self.reference.group).astype(int)
_, self.group = np.unique(np.repeat(range_(len(group_info)), repeats=group_info)[self.used_indices],
return_counts=True)
self.handle = ctypes.c_void_p()
params_str = param_dict_to_str(self.params)
_safe_call(_LIB.LGBM_DatasetGetSubset(
self.reference.construct().handle,
used_indices.ctypes.data_as(ctypes.POINTER(ctypes.c_int32)),
ctypes.c_int(used_indices.shape[0]),
c_str(params_str),
ctypes.byref(self.handle)))
self.data = self.reference.data
self.get_data()
if self.group is not None:
self.set_group(self.group)
if self.get_label() is None:
raise ValueError("Label should not be None.")
else:
# create train
self._lazy_init(self.data, label=self.label,
weight=self.weight, group=self.group,
init_score=self.init_score, predictor=self._predictor,
silent=self.silent, feature_name=self.feature_name,
categorical_feature=self.categorical_feature, params=self.params)
if self.free_raw_data:
self.data = None
return self
|
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] |
Lazy init.
Returns
-------
self : Dataset
Constructed Dataset object.
|
[
"Lazy",
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"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/basic.py#L971-L1018
|
train
|
Lazy init.
|
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(0b100111 + 0o11) + chr(0b1101111) + chr(0b110011) + '\x33' + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b11000 + 0o37) + chr(0b110001), 38197 - 38189), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(1714 - 1661) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(1921 - 1870) + chr(111 - 63), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(1320 - 1269) + chr(54) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000001 + 0o56) + chr(49) + chr(0b11011 + 0o33) + chr(2725 - 2672), 0b1000), ehT0Px3KOsy9(chr(497 - 449) + '\x6f' + chr(0b110001) + '\x36' + chr(0b11111 + 0o22), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(0b111 + 0o54) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + '\063' + chr(55) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(0b100100 + 0o17) + '\x36' + '\064', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b110011) + chr(0b110011), 23877 - 23869), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(49) + chr(577 - 525) + '\061', 12244 - 12236), ehT0Px3KOsy9('\060' + chr(0b1000100 + 0o53) + chr(0b10111 + 0o32) + chr(0b1101 + 0o46) + chr(647 - 599), 939 - 931), ehT0Px3KOsy9('\x30' + '\x6f' + chr(182 - 132) + '\066' + chr(219 - 165), 25957 - 25949), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(0b10010 + 0o40), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(0b10110 + 0o35) + '\065' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(400 - 352) + chr(11410 - 11299) + chr(453 - 403) + chr(2292 - 2242) + '\064', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + '\063' + '\x37', 0o10), ehT0Px3KOsy9(chr(1075 - 1027) + chr(9076 - 8965) + chr(733 - 682) + chr(48) + chr(1280 - 1231), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101011 + 0o104) + chr(897 - 846) + chr(0b11110 + 0o31) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11871 - 11760) + chr(0b1100 + 0o45) + chr(0b110000) + chr(1119 - 1067), 36657 - 36649), ehT0Px3KOsy9(chr(1946 - 1898) + '\x6f' + '\063' + chr(0b10001 + 0o37) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101101 + 0o2) + '\x31' + chr(784 - 736) + chr(49), 0b1000), ehT0Px3KOsy9(chr(172 - 124) + chr(0b1101111) + chr(0b10111 + 0o34) + chr(2077 - 2023), 42205 - 42197), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + '\x31' + chr(0b11100 + 0o27) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b110101) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(55) + '\066', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101110 + 0o5) + '\065' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1011010 + 0o25) + '\x34' + chr(108 - 56), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(8187 - 8076) + '\061' + chr(0b110010 + 0o2) + '\x34', 25009 - 25001), ehT0Px3KOsy9(chr(324 - 276) + '\157' + chr(0b10011 + 0o36) + '\x33' + chr(51), 8), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + '\x36' + chr(0b100101 + 0o22), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + chr(0b11 + 0o60) + chr(50) + '\063', 48568 - 48560), ehT0Px3KOsy9('\x30' + chr(6684 - 6573) + chr(0b110001) + chr(0b100111 + 0o12) + '\067', 61747 - 61739), ehT0Px3KOsy9(chr(449 - 401) + '\157' + chr(0b111 + 0o52) + chr(0b1011 + 0o53) + chr(49), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(288 - 237) + chr(0b110001) + chr(0b110100), 50688 - 50680), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001 + 0o2) + chr(0b110010 + 0o4) + chr(2329 - 2278), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110010 + 0o75) + '\x32' + chr(0b11001 + 0o27) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010001 + 0o36) + '\061' + chr(0b101000 + 0o12) + '\062', 40780 - 40772)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(254 - 143) + chr(0b110101) + chr(186 - 138), 8258 - 8250)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7'), chr(100) + chr(101) + chr(99) + '\x6f' + chr(3322 - 3222) + chr(0b1100101))(chr(0b1101011 + 0o12) + '\x74' + chr(811 - 709) + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def rjls6wsCcW1j(oVre8I6UXc3b):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\xc1\x7fm\xbd\x047\xc4\x9e\x8e\x01\x19'), '\144' + chr(0b10001 + 0o124) + '\x63' + '\x6f' + chr(100) + '\145')(chr(0b1111 + 0o146) + '\x74' + '\146' + chr(0b100011 + 0o12) + '\x38')) is None:
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xdcM}\x82\x10\x1f\xfd\x9f'), chr(0b1100100) + chr(101) + chr(99) + '\x6f' + chr(0b11001 + 0o113) + chr(0b1100101))(chr(0b1011101 + 0o30) + '\164' + '\x66' + chr(0b101101) + chr(0b11111 + 0o31))) is not None:
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xac\xcaN|\xaf\x1c\x1f\xfa\x93\x97>\x12'), '\144' + '\145' + chr(99) + '\x6f' + chr(100) + chr(101))(chr(6643 - 6526) + chr(2976 - 2860) + chr(0b1000 + 0o136) + '\x2d' + chr(0b110010 + 0o6))) is None:
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x86\xd5Jb\x89*\x18\xf0\x93\x80'), chr(0b1100100) + '\x65' + chr(0b101111 + 0o64) + chr(0b101000 + 0o107) + chr(0b1100100) + chr(0b1001111 + 0o26))('\x75' + chr(8915 - 8799) + chr(6203 - 6101) + '\x2d' + chr(1541 - 1485)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\xf5Er\x80C5\xa8\x9f\x92\x1d)'), chr(5894 - 5794) + '\145' + chr(4355 - 4256) + '\157' + chr(0b1100100) + chr(5781 - 5680))(chr(12787 - 12670) + chr(2991 - 2875) + '\x66' + chr(45) + chr(0b111000))), label=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\xeb~W\xbc3=\xeb\xbe\xc4c\x19'), '\144' + chr(101) + chr(99) + chr(4680 - 4569) + chr(100) + chr(0b11111 + 0o106))(chr(117) + '\x74' + chr(102) + chr(0b101101) + chr(60 - 4))), reference=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xdcM}\x82\x10\x1f\xfd\x9f'), '\144' + chr(0b1111 + 0o126) + chr(0b1100011) + chr(0b101011 + 0o104) + chr(2598 - 2498) + '\x65')(chr(0b1110101) + chr(0b101 + 0o157) + chr(0b1100110) + chr(45) + chr(2357 - 2301))), weight=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\x89FN\xa3%\x1b\xa8\xad\x9e-#'), chr(0b110111 + 0o55) + chr(101) + '\143' + '\x6f' + chr(100) + chr(0b1011001 + 0o14))('\x75' + '\x74' + chr(102) + chr(551 - 506) + chr(0b111000))), group=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x97\x80~v\x9d,\x07\xff\xad\xc5+.'), chr(100) + chr(2279 - 2178) + '\143' + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(102) + chr(0b0 + 0o55) + chr(0b111000))), init_score=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\xd7Bl\xaf\x06\x12\xf1\x88\x91'), chr(2574 - 2474) + chr(10057 - 9956) + '\143' + '\157' + '\x64' + chr(101))(chr(0b1011111 + 0o26) + chr(0b1110100) + '\x66' + chr(0b100111 + 0o6) + chr(56))), predictor=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x86\xc9Y}\x94\x1c\x12\xea\x95\x86'), chr(3794 - 3694) + chr(0b101000 + 0o75) + chr(99) + chr(0b1101111) + chr(0b111000 + 0o54) + chr(101))('\165' + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b110100 + 0o4))), silent=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa\xd0G}\x9e\x01'), chr(0b101010 + 0o72) + '\145' + '\143' + '\x6f' + chr(100) + chr(0b101 + 0o140))('\165' + chr(116) + chr(102) + '\x2d' + chr(56))), feature_name=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\xdcJl\x85\x07\x14\xc1\x94\x956\x04'), chr(4798 - 4698) + chr(0b11010 + 0o113) + chr(0b11 + 0o140) + '\157' + chr(0b111101 + 0o47) + chr(0b1011111 + 0o6))('\x75' + chr(0b101000 + 0o114) + chr(5885 - 5783) + '\x2d' + '\x38')), params=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\xfcIR\xaaA\x06\xf8\x8e\x91i\x16'), chr(100) + chr(7124 - 7023) + '\143' + chr(111) + chr(0b1011101 + 0o7) + chr(0b1100101))(chr(7041 - 6924) + chr(0b1001 + 0o153) + '\146' + '\055' + chr(2754 - 2698))))
else:
dsCMyjvU6HZF = qSQ6RTZnHQ3X(oVre8I6UXc3b.used_indices, WqUC3KWvYVup.int32, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xac\xcaN|\xaf\x1c\x1f\xfa\x93\x97>\x12'), '\144' + '\x65' + chr(9690 - 9591) + chr(0b1101111) + '\x64' + chr(0b1010101 + 0o20))(chr(8322 - 8205) + chr(116) + chr(2534 - 2432) + chr(1304 - 1259) + '\x38'))
assert xafqLlk3kkUe(dsCMyjvU6HZF.flags, xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\xe6Hw\x9e\x01\x18\xf9\x8f\x9b.\x12'), '\144' + chr(0b100000 + 0o105) + chr(8015 - 7916) + '\x6f' + chr(0b1100100) + chr(1149 - 1048))(chr(0b1110101) + chr(0b11000 + 0o134) + chr(8466 - 8364) + chr(1285 - 1240) + chr(0b111000)))
if xafqLlk3kkUe(oVre8I6UXc3b.reference, xafqLlk3kkUe(SXOLrMavuUCe(b'\x97\x80~v\x9d,\x07\xff\xad\xc5+.'), '\x64' + chr(0b1100101) + chr(0b1010000 + 0o23) + chr(111) + chr(0b1100 + 0o130) + chr(8693 - 8592))('\165' + chr(0b1110100) + chr(0b1100110) + chr(80 - 35) + chr(0b110001 + 0o7))) is not None:
agSWFAPoSTDe = WqUC3KWvYVup.array(oVre8I6UXc3b.reference.group).astype(ehT0Px3KOsy9)
(VNGQdHSFPrso, oVre8I6UXc3b.N9UnmYvaW1pO) = WqUC3KWvYVup.unique(WqUC3KWvYVup.repeat(AaLiQ7nyMvGD(c2A0yzQpDQB3(agSWFAPoSTDe)), repeats=agSWFAPoSTDe)[oVre8I6UXc3b.used_indices], return_counts=ehT0Px3KOsy9(chr(48) + chr(0b11000 + 0o127) + chr(0b100 + 0o55), 0o10))
oVre8I6UXc3b.SxTuMqFZdzZx = RyQ4N1viUrfz.c_void_p()
y8TFjPLtx2XU = fuXnGLR2RxQt(oVre8I6UXc3b.nEbJZ4wfte2w)
RuZt6f14FvYg(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\x95\xfeiU\xaf1\x10\xea\x9b\x87>\x15\x1f\xd3f\xb8\xe1=\xb2\x9a0'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(0b1101111) + '\144' + chr(0b1100101))(chr(0b1000 + 0o155) + chr(0b1110100) + '\x66' + '\x2d' + chr(920 - 864)))(xafqLlk3kkUe(oVre8I6UXc3b.reference.construct(), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\xc1\x7fm\xbd\x047\xc4\x9e\x8e\x01\x19'), '\x64' + chr(0b11000 + 0o115) + chr(681 - 582) + '\x6f' + chr(7751 - 7651) + chr(0b1100101))('\x75' + chr(116) + '\x66' + chr(80 - 35) + '\070')), xafqLlk3kkUe(dsCMyjvU6HZF.ctypes, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\xd8_y\xaf\x14\x02'), chr(0b1100100) + chr(101) + chr(4652 - 4553) + '\x6f' + chr(0b1100100) + chr(101))(chr(8112 - 7995) + chr(7580 - 7464) + chr(0b1100110) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\xf6bV\xa40#'), chr(9309 - 9209) + '\x65' + chr(0b1100011) + chr(4509 - 4398) + '\144' + chr(0b1001010 + 0o33))('\165' + '\x74' + chr(9695 - 9593) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\xe6Bv\x84FC'), chr(0b1100 + 0o130) + chr(101) + chr(7968 - 7869) + '\157' + chr(6164 - 6064) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\x2d' + '\070')))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\xe6Bv\x84'), chr(2211 - 2111) + chr(0b1100101) + chr(0b1010001 + 0o22) + '\157' + '\144' + chr(0b1100101))(chr(117) + '\164' + chr(0b1000111 + 0o37) + chr(533 - 488) + chr(0b100110 + 0o22)))(xafqLlk3kkUe(dsCMyjvU6HZF, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\xd8^A\x969\x16\xf2\xae\x848\x03'), chr(0b110110 + 0o56) + '\145' + chr(6748 - 6649) + chr(0b1000101 + 0o52) + chr(4485 - 4385) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1011111 + 0o7) + chr(45) + '\070'))[ehT0Px3KOsy9(chr(1259 - 1211) + chr(0b11000 + 0o127) + chr(0b1 + 0o57), 61507 - 61499)]), ZYHUZuTony_e(y8TFjPLtx2XU), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc0Y}\x96'), chr(0b1101 + 0o127) + chr(0b1000100 + 0o41) + chr(2516 - 2417) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(750 - 705) + '\x38'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\xc1\x7fm\xbd\x047\xc4\x9e\x8e\x01\x19'), chr(534 - 434) + chr(5952 - 5851) + '\x63' + chr(111) + '\x64' + chr(101))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(56))))))
oVre8I6UXc3b.ULnjp6D6efFH = oVre8I6UXc3b.reference.ULnjp6D6efFH
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\xdc_G\x94\x14\x05\xff'), chr(0b101100 + 0o70) + chr(6058 - 5957) + '\143' + chr(0b1101111) + chr(100) + '\x65')(chr(0b1110101) + chr(116) + chr(0b1001000 + 0o36) + '\055' + chr(0b111000)))()
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x97\x80~v\x9d,\x07\xff\xad\xc5+.'), chr(335 - 235) + chr(0b110000 + 0o65) + '\143' + chr(0b1101111) + chr(100) + chr(0b1100 + 0o131))('\x75' + '\x74' + '\146' + chr(0b0 + 0o55) + chr(0b1011 + 0o55))) is not None:
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa\xdc_G\x97\x07\x1e\xeb\x8a'), chr(0b1100100) + chr(10087 - 9986) + '\143' + '\157' + chr(8097 - 7997) + '\145')(chr(12226 - 12109) + '\164' + chr(9124 - 9022) + chr(45) + '\x38'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x97\x80~v\x9d,\x07\xff\xad\xc5+.'), chr(100) + '\145' + chr(99) + chr(2245 - 2134) + '\x64' + '\145')('\165' + chr(10222 - 10106) + chr(8510 - 8408) + chr(45) + chr(56))))
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\xebLr\xbdB?\xe4\x97\xb2nV'), chr(100) + chr(101) + chr(6783 - 6684) + chr(6145 - 6034) + chr(0b1100100) + '\145')('\x75' + chr(0b1110100) + '\x66' + chr(1733 - 1688) + chr(0b111000)))() is None:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x95\xd8I}\x9cU\x02\xf6\x95\x817\x05x\xd8}\x9f\xb4=\xa4\xdf\n\xae/{p'), chr(100) + chr(0b111011 + 0o52) + chr(4298 - 4199) + chr(0b11010 + 0o125) + chr(100) + chr(6677 - 6576))(chr(11605 - 11488) + '\x74' + chr(0b110101 + 0o61) + chr(45) + chr(0b100010 + 0o26)))
else:
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x86\xd5Jb\x89*\x18\xf0\x93\x80'), chr(0b11000 + 0o114) + chr(101) + chr(0b1001 + 0o132) + '\157' + chr(0b1100100) + chr(1340 - 1239))(chr(0b1110101) + chr(8896 - 8780) + chr(4447 - 4345) + '\x2d' + chr(56)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\xf5Er\x80C5\xa8\x9f\x92\x1d)'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1000 + 0o147) + chr(100) + chr(0b1011100 + 0o11))(chr(4138 - 4021) + '\x74' + '\146' + '\x2d' + '\070')), label=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\xeb~W\xbc3=\xeb\xbe\xc4c\x19'), '\144' + chr(0b1100101) + chr(0b100010 + 0o101) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(45) + '\x38')), weight=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\x89FN\xa3%\x1b\xa8\xad\x9e-#'), '\144' + chr(101) + chr(2525 - 2426) + chr(0b1101111) + chr(6799 - 6699) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(4542 - 4440) + chr(1637 - 1592) + chr(0b10001 + 0o47))), group=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x97\x80~v\x9d,\x07\xff\xad\xc5+.'), chr(100) + chr(0b1001100 + 0o31) + chr(0b11011 + 0o110) + chr(1943 - 1832) + '\x64' + chr(9271 - 9170))(chr(0b1000010 + 0o63) + chr(116) + chr(102) + chr(0b1000 + 0o45) + chr(56))), init_score=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\xd7Bl\xaf\x06\x12\xf1\x88\x91'), '\x64' + chr(7203 - 7102) + chr(0b1001011 + 0o30) + '\157' + '\144' + '\145')('\x75' + '\x74' + chr(0b11110 + 0o110) + '\x2d' + chr(0b111 + 0o61))), predictor=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x86\xc9Y}\x94\x1c\x12\xea\x95\x86'), '\x64' + chr(0b1100101) + '\x63' + chr(2446 - 2335) + chr(0b111001 + 0o53) + chr(1448 - 1347))('\165' + chr(116) + chr(0b101011 + 0o73) + chr(45) + '\070')), silent=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa\xd0G}\x9e\x01'), '\x64' + '\145' + chr(2373 - 2274) + chr(0b100110 + 0o111) + '\144' + '\145')(chr(0b100110 + 0o117) + '\x74' + chr(102) + '\x2d' + chr(0b110000 + 0o10))), feature_name=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\xdcJl\x85\x07\x14\xc1\x94\x956\x04'), chr(0b1100100) + chr(101) + chr(99) + chr(111) + '\144' + chr(101))(chr(0b1000001 + 0o64) + chr(0b1110100) + '\x66' + chr(870 - 825) + chr(0b1000 + 0o60))), categorical_feature=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\xd8_}\x97\x1a\x03\xf7\x99\x957>>\xd3s\x9f\xe1-\xa4'), '\x64' + chr(101) + chr(2538 - 2439) + '\x6f' + '\x64' + chr(0b1100101))('\x75' + chr(0b110011 + 0o101) + chr(9885 - 9783) + chr(45) + chr(0b111000))), params=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\xfcIR\xaaA\x06\xf8\x8e\x91i\x16'), chr(100) + '\145' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b101000 + 0o75))(chr(0b1110101) + '\164' + '\x66' + chr(45) + chr(0b100000 + 0o30))))
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\xcbN}\xaf\x07\x10\xe9\xa5\x90:\x159'), chr(0b1100100) + chr(0b1001000 + 0o35) + '\x63' + chr(111) + chr(0b1100100) + chr(4326 - 4225))('\165' + '\x74' + chr(0b1010101 + 0o21) + '\055' + chr(56))):
oVre8I6UXc3b.ULnjp6D6efFH = None
return oVre8I6UXc3b
|
Microsoft/LightGBM
|
python-package/lightgbm/basic.py
|
Dataset.create_valid
|
def create_valid(self, data, label=None, weight=None, group=None,
init_score=None, silent=False, params=None):
"""Create validation data align with current Dataset.
Parameters
----------
data : string, numpy array, pandas DataFrame, H2O DataTable's Frame, scipy.sparse or list of numpy arrays
Data source of Dataset.
If string, it represents the path to txt file.
label : list, numpy 1-D array, pandas Series / one-column DataFrame or None, optional (default=None)
Label of the data.
weight : list, numpy 1-D array, pandas Series or None, optional (default=None)
Weight for each instance.
group : list, numpy 1-D array, pandas Series or None, optional (default=None)
Group/query size for Dataset.
init_score : list, numpy 1-D array, pandas Series or None, optional (default=None)
Init score for Dataset.
silent : bool, optional (default=False)
Whether to print messages during construction.
params : dict or None, optional (default=None)
Other parameters for validation Dataset.
Returns
-------
valid : Dataset
Validation Dataset with reference to self.
"""
ret = Dataset(data, label=label, reference=self,
weight=weight, group=group, init_score=init_score,
silent=silent, params=params, free_raw_data=self.free_raw_data)
ret._predictor = self._predictor
ret.pandas_categorical = self.pandas_categorical
return ret
|
python
|
def create_valid(self, data, label=None, weight=None, group=None,
init_score=None, silent=False, params=None):
"""Create validation data align with current Dataset.
Parameters
----------
data : string, numpy array, pandas DataFrame, H2O DataTable's Frame, scipy.sparse or list of numpy arrays
Data source of Dataset.
If string, it represents the path to txt file.
label : list, numpy 1-D array, pandas Series / one-column DataFrame or None, optional (default=None)
Label of the data.
weight : list, numpy 1-D array, pandas Series or None, optional (default=None)
Weight for each instance.
group : list, numpy 1-D array, pandas Series or None, optional (default=None)
Group/query size for Dataset.
init_score : list, numpy 1-D array, pandas Series or None, optional (default=None)
Init score for Dataset.
silent : bool, optional (default=False)
Whether to print messages during construction.
params : dict or None, optional (default=None)
Other parameters for validation Dataset.
Returns
-------
valid : Dataset
Validation Dataset with reference to self.
"""
ret = Dataset(data, label=label, reference=self,
weight=weight, group=group, init_score=init_score,
silent=silent, params=params, free_raw_data=self.free_raw_data)
ret._predictor = self._predictor
ret.pandas_categorical = self.pandas_categorical
return ret
|
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] |
Create validation data align with current Dataset.
Parameters
----------
data : string, numpy array, pandas DataFrame, H2O DataTable's Frame, scipy.sparse or list of numpy arrays
Data source of Dataset.
If string, it represents the path to txt file.
label : list, numpy 1-D array, pandas Series / one-column DataFrame or None, optional (default=None)
Label of the data.
weight : list, numpy 1-D array, pandas Series or None, optional (default=None)
Weight for each instance.
group : list, numpy 1-D array, pandas Series or None, optional (default=None)
Group/query size for Dataset.
init_score : list, numpy 1-D array, pandas Series or None, optional (default=None)
Init score for Dataset.
silent : bool, optional (default=False)
Whether to print messages during construction.
params : dict or None, optional (default=None)
Other parameters for validation Dataset.
Returns
-------
valid : Dataset
Validation Dataset with reference to self.
|
[
"Create",
"validation",
"data",
"align",
"with",
"current",
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"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/basic.py#L1020-L1052
|
train
|
Create validation data align with current Dataset.
|
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(718 - 670) + chr(5372 - 5261) + chr(1070 - 1020) + '\x31' + chr(0b1000 + 0o54), 0o10), ehT0Px3KOsy9('\x30' + chr(6817 - 6706) + '\063' + '\x31' + '\x35', 0o10), ehT0Px3KOsy9(chr(2116 - 2068) + '\157' + chr(0b10101 + 0o42) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(2578 - 2467) + chr(0b11000 + 0o32) + '\065' + chr(919 - 867), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\x34' + chr(0b110111), 34816 - 34808), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(48) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10111 + 0o32) + '\064' + chr(0b1010 + 0o50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(486 - 435) + chr(373 - 321) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b11010 + 0o27) + chr(0b110110), 45923 - 45915), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + '\066' + '\x32', 0b1000), ehT0Px3KOsy9(chr(98 - 50) + chr(773 - 662) + chr(819 - 769) + '\x34' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + '\063' + chr(0b110011) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b110000) + chr(97 - 49), 54000 - 53992), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(0b100011 + 0o20) + chr(1563 - 1514), 52747 - 52739), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(1132 - 1081) + chr(51), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b111 + 0o54) + '\x37' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(8605 - 8494) + chr(1543 - 1494) + chr(0b110 + 0o53) + chr(861 - 811), 16748 - 16740), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(878 - 767) + chr(0b110101 + 0o0) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1110 + 0o43) + chr(0b11101 + 0o32) + chr(0b110011), 18238 - 18230), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + chr(0b100001 + 0o20) + chr(55) + chr(245 - 196), 0b1000), ehT0Px3KOsy9(chr(1856 - 1808) + chr(0b1101111) + chr(0b101100 + 0o6) + chr(0b110101) + chr(0b100001 + 0o25), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b10100 + 0o36) + chr(2599 - 2548), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1010 + 0o47) + '\062' + chr(0b11101 + 0o25), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b10100 + 0o133) + chr(0b110001) + chr(0b1000 + 0o53) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10679 - 10568) + chr(1963 - 1914) + chr(51) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\x34' + chr(2111 - 2063), 39668 - 39660), ehT0Px3KOsy9(chr(0b110000) + chr(1541 - 1430) + chr(0b110100) + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10110 + 0o33) + '\063' + chr(0b10011 + 0o42), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\060' + chr(2466 - 2415), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1111 + 0o140) + '\x32' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(10803 - 10692) + chr(0b110111), 3999 - 3991), ehT0Px3KOsy9(chr(85 - 37) + chr(111) + chr(51) + chr(0b110010) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(900 - 851) + '\062' + chr(0b110010 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(1264 - 1216) + '\157' + chr(51) + chr(0b110010) + chr(0b1000 + 0o57), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(0b110100) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(962 - 909) + chr(0b100111 + 0o11), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(840 - 791) + chr(51) + chr(2600 - 2547), 8), ehT0Px3KOsy9('\060' + '\157' + chr(307 - 257) + chr(54) + chr(0b101111 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(6681 - 6570) + chr(0b110010) + '\x33' + chr(0b101111 + 0o1), 0b1000), ehT0Px3KOsy9('\060' + chr(0b100010 + 0o115) + chr(1742 - 1693) + '\x33' + chr(51), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2688 - 2635) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2'), chr(0b1100100) + chr(1402 - 1301) + chr(0b10101 + 0o116) + chr(0b1000111 + 0o50) + chr(0b1010001 + 0o23) + '\145')('\165' + '\x74' + chr(5366 - 5264) + chr(45) + chr(0b11011 + 0o35)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def xNFtQDCGeWWW(oVre8I6UXc3b, ULnjp6D6efFH, TRUOLFLuD08x=None, C0mVSPj6WjvB=None, N9UnmYvaW1pO=None, XcnKSna3Kib3=None, jlUkQ4FevKb2=ehT0Px3KOsy9(chr(1436 - 1388) + '\x6f' + chr(1902 - 1854), 6691 - 6683), nEbJZ4wfte2w=None):
VHn4CV4Ymrei = aV89os75KJXF(ULnjp6D6efFH, label=TRUOLFLuD08x, reference=oVre8I6UXc3b, weight=C0mVSPj6WjvB, group=N9UnmYvaW1pO, init_score=XcnKSna3Kib3, silent=jlUkQ4FevKb2, params=nEbJZ4wfte2w, free_raw_data=oVre8I6UXc3b.free_raw_data)
VHn4CV4Ymrei.B0UsO77hbUwl = oVre8I6UXc3b.B0UsO77hbUwl
VHn4CV4Ymrei.Wp5oxXajrg4Q = oVre8I6UXc3b.Wp5oxXajrg4Q
return VHn4CV4Ymrei
|
Microsoft/LightGBM
|
python-package/lightgbm/basic.py
|
Dataset.subset
|
def subset(self, used_indices, params=None):
"""Get subset of current Dataset.
Parameters
----------
used_indices : list of int
Indices used to create the subset.
params : dict or None, optional (default=None)
These parameters will be passed to Dataset constructor.
Returns
-------
subset : Dataset
Subset of the current Dataset.
"""
if params is None:
params = self.params
ret = Dataset(None, reference=self, feature_name=self.feature_name,
categorical_feature=self.categorical_feature, params=params,
free_raw_data=self.free_raw_data)
ret._predictor = self._predictor
ret.pandas_categorical = self.pandas_categorical
ret.used_indices = used_indices
return ret
|
python
|
def subset(self, used_indices, params=None):
"""Get subset of current Dataset.
Parameters
----------
used_indices : list of int
Indices used to create the subset.
params : dict or None, optional (default=None)
These parameters will be passed to Dataset constructor.
Returns
-------
subset : Dataset
Subset of the current Dataset.
"""
if params is None:
params = self.params
ret = Dataset(None, reference=self, feature_name=self.feature_name,
categorical_feature=self.categorical_feature, params=params,
free_raw_data=self.free_raw_data)
ret._predictor = self._predictor
ret.pandas_categorical = self.pandas_categorical
ret.used_indices = used_indices
return ret
|
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"=",
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] |
Get subset of current Dataset.
Parameters
----------
used_indices : list of int
Indices used to create the subset.
params : dict or None, optional (default=None)
These parameters will be passed to Dataset constructor.
Returns
-------
subset : Dataset
Subset of the current Dataset.
|
[
"Get",
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"of",
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"Dataset",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/basic.py#L1054-L1077
|
train
|
Returns a subset of the current Dataset.
|
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(111) + '\062' + chr(0b110110) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(52) + chr(363 - 308), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5090 - 4979) + chr(51) + '\x30' + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101000 + 0o107) + chr(2149 - 2099) + '\x33' + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011 + 0o0) + chr(0b110111) + chr(0b10110 + 0o32), 52076 - 52068), ehT0Px3KOsy9('\060' + '\157' + chr(856 - 806) + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(0b111 + 0o150) + chr(346 - 295) + chr(54) + chr(0b110100), 63624 - 63616), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1001011 + 0o44) + chr(0b110010) + '\x37' + chr(589 - 540), 10698 - 10690), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b110 + 0o53) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\x6f' + chr(0b110010) + '\x35' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(852 - 804) + chr(111) + '\x31' + '\x36' + chr(1565 - 1515), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11010 + 0o125) + chr(0b110010) + chr(2355 - 2306), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001100 + 0o43) + '\x35' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(685 - 637) + chr(8078 - 7967) + '\x31' + '\x37' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2142 - 2091) + '\x33' + chr(749 - 695), 0o10), ehT0Px3KOsy9(chr(789 - 741) + chr(3281 - 3170) + '\067' + chr(0b101010 + 0o11), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(51) + chr(0b1101 + 0o47), 0o10), ehT0Px3KOsy9(chr(1793 - 1745) + chr(111) + '\062' + '\062' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b110111) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b110101) + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(0b110111 + 0o70) + '\x32' + '\x36' + chr(0b110111), 8), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b11011 + 0o25) + chr(903 - 854), 0b1000), ehT0Px3KOsy9(chr(1818 - 1770) + '\157' + chr(51) + chr(0b101000 + 0o15) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + '\x36' + chr(0b10010 + 0o45), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + '\061' + chr(849 - 795) + '\067', 54640 - 54632), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(51) + chr(50) + chr(1406 - 1356), 61818 - 61810), ehT0Px3KOsy9(chr(1589 - 1541) + '\157' + chr(0b0 + 0o62) + '\x36' + chr(0b110 + 0o55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(563 - 514) + chr(913 - 861) + '\061', 17447 - 17439), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + '\x33' + chr(49) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\x37' + chr(700 - 646), 0b1000), ehT0Px3KOsy9('\x30' + chr(130 - 19) + '\x31' + chr(54) + chr(1926 - 1871), 8), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(0b110010) + '\063' + chr(48), 13749 - 13741), ehT0Px3KOsy9(chr(1203 - 1155) + chr(0b1101111) + chr(1074 - 1024) + chr(0b100010 + 0o24) + '\062', 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(52) + chr(0b110110), 56076 - 56068), ehT0Px3KOsy9(chr(0b110000) + chr(6353 - 6242) + '\063' + chr(61 - 8) + '\x32', 8), ehT0Px3KOsy9('\x30' + chr(800 - 689) + chr(49) + '\x33' + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(6694 - 6583) + chr(0b110010) + '\067' + chr(0b110010 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(949 - 901) + chr(0b1000011 + 0o54) + chr(50) + chr(841 - 787) + chr(0b100110 + 0o21), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101101 + 0o4) + '\065' + chr(52 - 3), 10801 - 10793), ehT0Px3KOsy9(chr(640 - 592) + '\157' + chr(0b100100 + 0o17) + chr(0b100001 + 0o22) + chr(2156 - 2107), 51248 - 51240)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1000100 + 0o53) + '\x35' + chr(0b1001 + 0o47), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x99'), chr(0b101001 + 0o73) + chr(8452 - 8351) + chr(3700 - 3601) + chr(111) + '\x64' + chr(101))(chr(0b1010011 + 0o42) + '\164' + '\x66' + chr(45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GKGXFKoBb2qK(oVre8I6UXc3b, dsCMyjvU6HZF, nEbJZ4wfte2w=None):
if nEbJZ4wfte2w is None:
nEbJZ4wfte2w = oVre8I6UXc3b.nEbJZ4wfte2w
VHn4CV4Ymrei = aV89os75KJXF(None, reference=oVre8I6UXc3b, feature_name=oVre8I6UXc3b.feature_name, categorical_feature=oVre8I6UXc3b.categorical_feature, params=nEbJZ4wfte2w, free_raw_data=oVre8I6UXc3b.free_raw_data)
VHn4CV4Ymrei.B0UsO77hbUwl = oVre8I6UXc3b.B0UsO77hbUwl
VHn4CV4Ymrei.Wp5oxXajrg4Q = oVre8I6UXc3b.Wp5oxXajrg4Q
VHn4CV4Ymrei.dsCMyjvU6HZF = dsCMyjvU6HZF
return VHn4CV4Ymrei
|
Microsoft/LightGBM
|
python-package/lightgbm/basic.py
|
Dataset.save_binary
|
def save_binary(self, filename):
"""Save Dataset to a binary file.
Parameters
----------
filename : string
Name of the output file.
Returns
-------
self : Dataset
Returns self.
"""
_safe_call(_LIB.LGBM_DatasetSaveBinary(
self.construct().handle,
c_str(filename)))
return self
|
python
|
def save_binary(self, filename):
"""Save Dataset to a binary file.
Parameters
----------
filename : string
Name of the output file.
Returns
-------
self : Dataset
Returns self.
"""
_safe_call(_LIB.LGBM_DatasetSaveBinary(
self.construct().handle,
c_str(filename)))
return self
|
[
"def",
"save_binary",
"(",
"self",
",",
"filename",
")",
":",
"_safe_call",
"(",
"_LIB",
".",
"LGBM_DatasetSaveBinary",
"(",
"self",
".",
"construct",
"(",
")",
".",
"handle",
",",
"c_str",
"(",
"filename",
")",
")",
")",
"return",
"self"
] |
Save Dataset to a binary file.
Parameters
----------
filename : string
Name of the output file.
Returns
-------
self : Dataset
Returns self.
|
[
"Save",
"Dataset",
"to",
"a",
"binary",
"file",
"."
] |
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147
|
https://github.com/Microsoft/LightGBM/blob/8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147/python-package/lightgbm/basic.py#L1079-L1095
|
train
|
Save the dataset to a binary file.
|
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(0b110001) + '\x36' + chr(0b100 + 0o54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(505 - 454) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b0 + 0o157) + '\x32' + chr(0b11 + 0o55) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(0b101100 + 0o5) + chr(2145 - 2093) + chr(0b11000 + 0o30), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + chr(2112 - 2061) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7724 - 7613) + chr(0b11 + 0o60) + chr(53) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11001 + 0o126) + '\x32' + chr(0b100 + 0o60) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b100111 + 0o110) + '\x31' + '\x35', 47910 - 47902), ehT0Px3KOsy9('\060' + chr(3044 - 2933) + chr(0b110011) + '\x35' + chr(0b11101 + 0o26), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b10001 + 0o37) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(1984 - 1936) + chr(2367 - 2256) + chr(0b110110) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(3189 - 3078) + '\x33' + chr(0b110010) + chr(1221 - 1169), 51388 - 51380), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + chr(0b11101 + 0o24) + chr(0b110011) + chr(0b100100 + 0o20), 0o10), ehT0Px3KOsy9(chr(1032 - 984) + chr(10561 - 10450) + chr(50) + chr(0b110010) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(1424 - 1313) + chr(0b100111 + 0o13), 0b1000), ehT0Px3KOsy9(chr(212 - 164) + chr(0b1101111) + chr(0b110010) + '\064' + chr(0b101101 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(1775 - 1727) + '\157' + chr(51) + chr(2447 - 2397) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11101 + 0o26) + chr(48) + chr(94 - 42), 53301 - 53293), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\067' + chr(0b101111 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(0b110100) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110100 + 0o73) + '\x36' + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011011 + 0o24) + chr(2404 - 2353) + chr(0b10 + 0o57) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(636 - 587) + chr(53) + chr(666 - 618), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1011 + 0o46) + chr(265 - 214) + chr(808 - 760), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2778 - 2667) + '\x32' + chr(50) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + chr(0b101010 + 0o11) + '\065' + '\063', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1000 + 0o53) + chr(48) + chr(52), 8), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + chr(0b100010 + 0o17) + chr(0b110011) + chr(0b10 + 0o64), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b1101 + 0o45) + '\062', 35288 - 35280), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(993 - 940) + '\x35', 0o10), ehT0Px3KOsy9(chr(1887 - 1839) + chr(0b10000 + 0o137) + chr(0b1100 + 0o47) + '\x36' + chr(1246 - 1194), 23150 - 23142), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(0b100010 + 0o16) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + '\x34' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1010101 + 0o32) + chr(2467 - 2416) + chr(0b110101) + '\x35', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11111 + 0o22) + chr(1605 - 1554) + chr(54), 8), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + chr(0b101 + 0o56) + '\x37' + chr(0b1 + 0o63), 28767 - 28759), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\x35', 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b101000 + 0o12) + chr(0b111 + 0o57) + '\x36', 0b1000), ehT0Px3KOsy9(chr(899 - 851) + chr(0b10110 + 0o131) + chr(0b1000 + 0o54) + '\x37', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + '\065' + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'^'), chr(0b1100011 + 0o1) + '\x65' + chr(99) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(1483 - 1438) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def MPi9msZg4eKf(oVre8I6UXc3b, xw4DsBfIJ22E):
RuZt6f14FvYg(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'<\x1a\xc1-BB\x8f\xd2l\x98\xa3B\x87=\xe0g\xe3\xb9\xaaZ\xd7L'), chr(100) + chr(0b1100010 + 0o3) + '\x63' + chr(0b1101111) + '\144' + '\145')(chr(0b1010 + 0o153) + '\164' + chr(0b1100110) + '\055' + '\x38'))(xafqLlk3kkUe(oVre8I6UXc3b.construct(), xafqLlk3kkUe(SXOLrMavuUCe(b'#%\xd7\x15Pw\xa8\xfci\x91\x9cN'), chr(100) + '\145' + chr(0b11001 + 0o112) + chr(111) + '\144' + '\145')(chr(0b1110101) + chr(0b11010 + 0o132) + chr(102) + chr(279 - 234) + '\070')), ZYHUZuTony_e(xw4DsBfIJ22E)))
return oVre8I6UXc3b
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