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apache/incubator-mxnet
|
python/mxnet/module/module.py
|
Module.save_checkpoint
|
def save_checkpoint(self, prefix, epoch, save_optimizer_states=False):
"""Saves current progress to checkpoint.
Use `mx.callback.module_checkpoint` as `epoch_end_callback` to save during training.
Parameters
----------
prefix : str
The file prefix to checkpoint to.
epoch : int
The current epoch number.
save_optimizer_states : bool
Whether to save optimizer states to continue training.
"""
self._symbol.save('%s-symbol.json'%prefix)
param_name = '%s-%04d.params' % (prefix, epoch)
self.save_params(param_name)
logging.info('Saved checkpoint to \"%s\"', param_name)
if save_optimizer_states:
state_name = '%s-%04d.states' % (prefix, epoch)
self.save_optimizer_states(state_name)
logging.info('Saved optimizer state to \"%s\"', state_name)
|
python
|
def save_checkpoint(self, prefix, epoch, save_optimizer_states=False):
"""Saves current progress to checkpoint.
Use `mx.callback.module_checkpoint` as `epoch_end_callback` to save during training.
Parameters
----------
prefix : str
The file prefix to checkpoint to.
epoch : int
The current epoch number.
save_optimizer_states : bool
Whether to save optimizer states to continue training.
"""
self._symbol.save('%s-symbol.json'%prefix)
param_name = '%s-%04d.params' % (prefix, epoch)
self.save_params(param_name)
logging.info('Saved checkpoint to \"%s\"', param_name)
if save_optimizer_states:
state_name = '%s-%04d.states' % (prefix, epoch)
self.save_optimizer_states(state_name)
logging.info('Saved optimizer state to \"%s\"', state_name)
|
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"(",
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",",
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] |
Saves current progress to checkpoint.
Use `mx.callback.module_checkpoint` as `epoch_end_callback` to save during training.
Parameters
----------
prefix : str
The file prefix to checkpoint to.
epoch : int
The current epoch number.
save_optimizer_states : bool
Whether to save optimizer states to continue training.
|
[
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/module.py#L165-L185
|
train
|
Saves current checkpoint to checkpoint.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + '\x32' + '\064', 1061 - 1053), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1008 - 954) + '\x33', 31815 - 31807), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(956 - 906) + chr(0b110001) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + '\x30' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(930 - 881) + chr(52) + chr(2104 - 2056), 50670 - 50662), ehT0Px3KOsy9(chr(48) + chr(0b110101 + 0o72) + '\062', 57759 - 57751), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + '\x31' + chr(2670 - 2616), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(53) + '\x37', 47057 - 47049), ehT0Px3KOsy9(chr(888 - 840) + '\157' + '\061' + chr(0b101010 + 0o14) + chr(0b10001 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(429 - 381) + '\157' + chr(50) + chr(53) + chr(0b101110 + 0o4), 0b1000), ehT0Px3KOsy9(chr(1428 - 1380) + chr(111) + chr(0b110001) + '\x35' + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(0b110000) + chr(0b110010), 61890 - 61882), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b10 + 0o61) + chr(0b1001 + 0o55), 0o10), ehT0Px3KOsy9(chr(1377 - 1329) + chr(0b1000100 + 0o53) + chr(0b11011 + 0o32), 0o10), ehT0Px3KOsy9(chr(757 - 709) + chr(111) + chr(49) + chr(55) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1435 - 1387) + chr(111) + chr(55) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(2471 - 2421) + chr(1515 - 1466) + chr(0b110000), 8), ehT0Px3KOsy9(chr(946 - 898) + '\x6f' + chr(51) + chr(2312 - 2261) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1100 + 0o143) + '\062' + '\x36' + chr(0b0 + 0o67), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(51) + '\060' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101110 + 0o4) + chr(1042 - 988) + '\x33', 39083 - 39075), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(1978 - 1926) + chr(0b110110), 2131 - 2123), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(50) + '\x33' + chr(0b110011), 29828 - 29820), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(1325 - 1214) + chr(0b110011) + '\x30' + chr(0b10111 + 0o32), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1673 - 1623) + chr(1185 - 1136) + chr(48), 8), ehT0Px3KOsy9(chr(1893 - 1845) + chr(0b1101111) + chr(0b100 + 0o56) + '\x36' + chr(0b10110 + 0o32), 0b1000), ehT0Px3KOsy9('\060' + chr(2428 - 2317) + '\064' + chr(1854 - 1799), 17763 - 17755), ehT0Px3KOsy9('\x30' + chr(11163 - 11052) + chr(2054 - 2004) + '\x33' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(2108 - 2060) + chr(111) + '\061' + chr(0b11000 + 0o35) + '\063', 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(10028 - 9917) + chr(527 - 476) + chr(50) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(52) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b110111) + chr(1760 - 1712), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b110010) + '\x37', 0b1000), ehT0Px3KOsy9(chr(110 - 62) + '\157' + chr(0b10011 + 0o37) + chr(53) + chr(53), 54079 - 54071), ehT0Px3KOsy9(chr(198 - 150) + chr(2545 - 2434) + chr(0b110001) + chr(0b0 + 0o67) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(1858 - 1810) + chr(111) + chr(2054 - 2005) + '\066' + chr(0b110110), 8), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(0b11010 + 0o32) + '\x31', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1342 - 1294) + '\x6f' + chr(0b10 + 0o63) + chr(48), 29314 - 29306)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'z'), chr(0b1100100) + '\x65' + chr(0b111111 + 0o44) + '\x6f' + chr(2691 - 2591) + '\145')(chr(0b1110101) + chr(0b111010 + 0o72) + chr(0b101001 + 0o75) + '\055' + chr(0b10000 + 0o50)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def igibI87Qc8pR(oVre8I6UXc3b, K1Ha0XjJTAE7, LWTVW06OsTjl, NOVHlewTW2ug=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(48), 0b1000)):
xafqLlk3kkUe(oVre8I6UXc3b._symbol, xafqLlk3kkUe(SXOLrMavuUCe(b"'R\xfe "), chr(5891 - 5791) + chr(0b1100 + 0o131) + '\143' + chr(0b1101001 + 0o6) + chr(0b10110 + 0o116) + chr(101))(chr(0b1011100 + 0o31) + chr(0b1001001 + 0o53) + chr(0b1100110) + chr(45) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'q@\xa56\x19o,gCX\xc0\x1br\xac'), '\x64' + chr(0b1011110 + 0o7) + chr(348 - 249) + chr(0b10100 + 0o133) + chr(0b1100100) + '\x65')(chr(0b1110101) + '\x74' + '\146' + '\055' + chr(0b111000)) % K1Ha0XjJTAE7)
LwwoV1LmMhGU = xafqLlk3kkUe(SXOLrMavuUCe(b'q@\xa5`P6*&_\x17\xd8\tp\xb1'), chr(0b1 + 0o143) + '\145' + chr(99) + '\x6f' + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(102) + chr(0b100110 + 0o7) + chr(56)) % (K1Ha0XjJTAE7, LWTVW06OsTjl)
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"'R\xfe ?r/zN\x1b\xd9"), chr(7174 - 7074) + chr(0b1011010 + 0o13) + '\143' + chr(0b1101111) + chr(100) + chr(0b111 + 0o136))('\165' + '\x74' + chr(0b111101 + 0o51) + '\x2d' + '\x38'))(LwwoV1LmMhGU)
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\x04\xc0=\x15a)?E\x1a\xf0\x03'), chr(0b1100100) + chr(0b1100101) + chr(99) + '\157' + chr(100) + '\x65')(chr(0b1 + 0o164) + chr(0b1100100 + 0o20) + chr(0b1010001 + 0o25) + chr(1692 - 1647) + chr(0b1000 + 0o60)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x07R\xfe \x04"-`J\x15\xc1\x18r\xab\xb0q_J\xe7\xfc\x95\xe4\xc0\xc4'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(111) + chr(0b1100100) + '\145')('\165' + '\x74' + chr(8505 - 8403) + chr(0b101101) + chr(56)), LwwoV1LmMhGU)
if NOVHlewTW2ug:
LveR4mpTOj5f = xafqLlk3kkUe(SXOLrMavuUCe(b'q@\xa5`P6*&\\\x02\xcb\x1cx\xb1'), chr(3024 - 2924) + '\x65' + chr(99) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(4255 - 4138) + '\x74' + chr(102) + chr(45) + chr(56)) % (K1Ha0XjJTAE7, LWTVW06OsTjl)
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"'R\xfe ?m>|F\x1b\xc3\x12x\xb0\x81v\x0b_\xfc\xb9\xc4"), chr(1339 - 1239) + '\x65' + chr(99) + chr(0b1010101 + 0o32) + '\x64' + '\x65')(chr(0b111000 + 0o75) + chr(116) + chr(946 - 844) + chr(0b10010 + 0o33) + chr(56)))(LveR4mpTOj5f)
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\x04\xc0=\x15a)?E\x1a\xf0\x03'), chr(0b1011111 + 0o5) + '\145' + chr(0b1000110 + 0o35) + '\x6f' + chr(0b1001111 + 0o25) + '\x65')(chr(5266 - 5149) + chr(0b1010101 + 0o37) + chr(4803 - 4701) + '\x2d' + chr(0b101010 + 0o16)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x07R\xfe \x04"!x[\x1f\xc7\x01g\xa7\xac%\x0cJ\xe9\xa8\xd2\xe1\xc7\x89\xbb\xe3\xad\xc3\x05'), '\x64' + chr(0b1001110 + 0o27) + chr(2306 - 2207) + chr(111) + chr(100) + '\x65')(chr(0b1110101) + chr(116) + '\x66' + chr(0b101101) + '\x38'), LveR4mpTOj5f)
|
apache/incubator-mxnet
|
python/mxnet/module/module.py
|
Module._reset_bind
|
def _reset_bind(self):
"""Internal function to reset binded state."""
self.binded = False
self._exec_group = None
self._data_shapes = None
self._label_shapes = None
|
python
|
def _reset_bind(self):
"""Internal function to reset binded state."""
self.binded = False
self._exec_group = None
self._data_shapes = None
self._label_shapes = None
|
[
"def",
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"(",
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"False",
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"=",
"None",
"self",
".",
"_data_shapes",
"=",
"None",
"self",
".",
"_label_shapes",
"=",
"None"
] |
Internal function to reset binded state.
|
[
"Internal",
"function",
"to",
"reset",
"binded",
"state",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/module.py#L187-L192
|
train
|
Internal function to reset binded state.
|
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(0b0 + 0o60) + chr(0b1101111) + chr(49) + chr(54) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b100001 + 0o17) + '\064', 14253 - 14245), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100011 + 0o16) + chr(88 - 40) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8244 - 8133) + chr(49) + chr(0b110111) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11111 + 0o25) + chr(1387 - 1334), 63795 - 63787), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110101 + 0o72) + '\x33' + chr(2098 - 2046) + '\063', 12961 - 12953), ehT0Px3KOsy9('\x30' + '\157' + '\061' + '\062' + chr(0b100111 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(642 - 591) + chr(0b101111 + 0o3) + chr(2021 - 1973), 49417 - 49409), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\064' + chr(0b110011), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + '\066' + chr(0b101 + 0o57), 0o10), ehT0Px3KOsy9(chr(1279 - 1231) + '\157' + chr(0b110011) + chr(0b110010) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100000 + 0o17) + chr(51) + '\060' + chr(0b110110), 16509 - 16501), ehT0Px3KOsy9('\x30' + chr(10020 - 9909) + '\063' + '\060' + chr(0b101110 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(1621 - 1573) + '\157' + chr(49) + '\x36' + chr(1430 - 1376), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + '\065' + chr(55), 0b1000), ehT0Px3KOsy9(chr(153 - 105) + chr(0b1101111) + chr(51) + '\063' + chr(52), 0o10), ehT0Px3KOsy9(chr(785 - 737) + chr(0b1101111) + chr(51) + chr(50) + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x36' + chr(0b110011), 21047 - 21039), ehT0Px3KOsy9(chr(543 - 495) + chr(6929 - 6818) + chr(0b1011 + 0o46) + '\x30' + chr(1714 - 1664), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b11001 + 0o33) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11111 + 0o24) + chr(434 - 385) + chr(1245 - 1191), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100000 + 0o117) + chr(0b1111 + 0o43) + chr(298 - 243) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(10884 - 10773) + chr(51) + chr(0b11010 + 0o34) + '\x35', 0b1000), ehT0Px3KOsy9(chr(575 - 527) + chr(111) + '\063' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(282 - 171) + chr(50) + '\x37' + chr(1231 - 1176), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b110000) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(298 - 250) + chr(3945 - 3834) + chr(0b110011) + chr(1900 - 1850) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\064' + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b111 + 0o54) + chr(0b101000 + 0o17) + chr(0b110100 + 0o0), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(929 - 878) + chr(0b1110 + 0o47) + chr(0b11010 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + '\x33' + chr(0b110001 + 0o1) + '\060', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x36' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100011 + 0o17) + chr(0b110010) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + chr(0b100101 + 0o16) + chr(0b100111 + 0o15) + '\060', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(0b110011) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b110010) + '\x35', 52942 - 52934), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100001 + 0o21) + '\x30' + chr(2637 - 2582), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b1010 + 0o55) + chr(0b1100 + 0o44), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b11101 + 0o122) + chr(864 - 811) + '\060', 12030 - 12022)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'X'), chr(3255 - 3155) + '\145' + chr(7615 - 7516) + chr(11920 - 11809) + chr(0b11010 + 0o112) + '\x65')(chr(117) + chr(0b1101100 + 0o10) + chr(4494 - 4392) + chr(0b100100 + 0o11) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def hWll1nzQc8sC(oVre8I6UXc3b):
oVre8I6UXc3b.vUSqLv5CM1Wp = ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110000), ord("\x08"))
oVre8I6UXc3b.rwlcTjYduhbI = None
oVre8I6UXc3b.qOSsFbxz_mJe = None
oVre8I6UXc3b.aeRwQBDErTCO = None
|
apache/incubator-mxnet
|
python/mxnet/module/module.py
|
Module.get_params
|
def get_params(self):
"""Gets current parameters.
Returns
-------
`(arg_params, aux_params)`
A pair of dictionaries each mapping parameter names to NDArray values.
"""
assert self.binded and self.params_initialized
if self._params_dirty:
self._sync_params_from_devices()
return (self._arg_params, self._aux_params)
|
python
|
def get_params(self):
"""Gets current parameters.
Returns
-------
`(arg_params, aux_params)`
A pair of dictionaries each mapping parameter names to NDArray values.
"""
assert self.binded and self.params_initialized
if self._params_dirty:
self._sync_params_from_devices()
return (self._arg_params, self._aux_params)
|
[
"def",
"get_params",
"(",
"self",
")",
":",
"assert",
"self",
".",
"binded",
"and",
"self",
".",
"params_initialized",
"if",
"self",
".",
"_params_dirty",
":",
"self",
".",
"_sync_params_from_devices",
"(",
")",
"return",
"(",
"self",
".",
"_arg_params",
",",
"self",
".",
"_aux_params",
")"
] |
Gets current parameters.
Returns
-------
`(arg_params, aux_params)`
A pair of dictionaries each mapping parameter names to NDArray values.
|
[
"Gets",
"current",
"parameters",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/module.py#L245-L257
|
train
|
Gets the current 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('\060' + chr(0b100101 + 0o112) + chr(1011 - 960) + chr(0b110111) + chr(54), 50958 - 50950), ehT0Px3KOsy9(chr(725 - 677) + '\x6f' + chr(1671 - 1621) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010 + 0o5) + chr(2127 - 2075), 62402 - 62394), ehT0Px3KOsy9('\x30' + '\x6f' + chr(102 - 51) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + '\x31' + chr(2387 - 2337), 0b1000), ehT0Px3KOsy9('\x30' + chr(11622 - 11511) + '\062' + chr(0b1111 + 0o47) + chr(0b110110), 46822 - 46814), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(1009 - 958) + chr(0b100 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + '\x36' + '\064', 39449 - 39441), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10111 + 0o34) + chr(51) + chr(1811 - 1758), 0b1000), ehT0Px3KOsy9('\060' + chr(8549 - 8438) + chr(2456 - 2405) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(1417 - 1364) + chr(295 - 241), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101001 + 0o6) + chr(0b1111 + 0o43) + chr(1570 - 1517) + chr(0b110011), 741 - 733), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(1361 - 1306) + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6272 - 6161) + chr(0b110 + 0o53) + '\067' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101110 + 0o1) + chr(0b110 + 0o55) + '\061' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(463 - 415) + '\x6f' + chr(0b110011) + chr(257 - 209) + chr(322 - 270), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b100110 + 0o21) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(1997 - 1943) + chr(1010 - 955), 64343 - 64335), ehT0Px3KOsy9(chr(48) + chr(6519 - 6408) + chr(1606 - 1555) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110100 + 0o0) + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(49) + chr(175 - 123), 60273 - 60265), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + '\061' + '\x30' + chr(1151 - 1098), 27926 - 27918), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(54) + chr(0b100110 + 0o21), 8), ehT0Px3KOsy9(chr(298 - 250) + '\157' + '\063' + chr(0b110011) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(1153 - 1105) + chr(111) + '\x32' + '\062' + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b1001 + 0o50) + chr(0b11 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(210 - 162) + chr(0b1100011 + 0o14) + chr(0b110001) + chr(53) + '\062', 8288 - 8280), ehT0Px3KOsy9(chr(765 - 717) + chr(0b1101111) + chr(1231 - 1181) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + chr(1783 - 1733) + chr(0b100100 + 0o23) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1781 - 1733) + chr(0b1101111) + chr(0b10011 + 0o40) + chr(1368 - 1320) + chr(0b101100 + 0o10), 8), ehT0Px3KOsy9(chr(536 - 488) + chr(111) + '\061' + chr(54) + chr(2497 - 2445), 0o10), ehT0Px3KOsy9('\060' + chr(749 - 638) + chr(1124 - 1075) + chr(0b110111) + chr(476 - 424), 8), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1010101 + 0o32) + chr(49) + chr(2530 - 2475) + chr(1818 - 1768), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(52) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9138 - 9027) + chr(49) + chr(0b10001 + 0o43) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(381 - 333) + chr(0b1101111) + chr(0b110010) + chr(0b110110) + chr(0b110111), 8), ehT0Px3KOsy9(chr(968 - 920) + '\x6f' + '\x32' + chr(546 - 493) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(7708 - 7597) + chr(49) + chr(0b110000 + 0o0) + chr(0b110010), 52488 - 52480), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\066' + '\x35', 18896 - 18888), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2479 - 2429) + chr(0b110100) + chr(52), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1100 + 0o143) + chr(0b11000 + 0o35) + '\x30', 23724 - 23716)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0'), '\144' + chr(0b1101 + 0o130) + chr(0b1100011) + chr(0b1101111 + 0o0) + chr(100) + chr(101))(chr(117) + chr(116) + '\x66' + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def k2sGft1Djlhj(oVre8I6UXc3b):
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x88Boo\x06\xc0i\xb7\x90*\xf9\xdb'), '\x64' + chr(0b1000010 + 0o43) + chr(0b10011 + 0o120) + chr(0b1101111) + chr(9045 - 8945) + chr(0b10010 + 0o123))(chr(5773 - 5656) + '\164' + chr(0b11000 + 0o116) + '\055' + chr(56))) and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2/Fd:\xe7\x14\xb1\xe9T\xd4\xc6'), chr(0b1100001 + 0o3) + '\x65' + chr(8511 - 8412) + '\157' + '\x64' + chr(0b1100101))('\x75' + '\164' + chr(102) + chr(207 - 162) + chr(0b110110 + 0o2)))
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90[UO\x1b\xee3\xa5\x93(\xfe\xe8'), chr(997 - 897) + '\145' + chr(0b100000 + 0o103) + '\157' + chr(0b111110 + 0o46) + chr(0b111011 + 0o52))(chr(0b1110101) + chr(0b1110100) + chr(3777 - 3675) + '\055' + '\070')):
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1dEp)\xe9,\x95\xafz\xc3\xd8#\x1c\xbc\xab\x96\xe8~D\xba,\xd4\xb9\xe3'), chr(2514 - 2414) + chr(0b1100101) + chr(0b1001010 + 0o31) + '\x6f' + '\144' + chr(0b1100101))(chr(117) + chr(116) + chr(0b100001 + 0o105) + chr(45) + chr(0b111000)))()
return (xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x92qz{>\xc5h\xab\x94H\xcd\xfb'), '\x64' + '\x65' + '\143' + '\157' + chr(0b1100100) + chr(0b1011000 + 0o15))(chr(0b1110101 + 0o0) + chr(0b101 + 0o157) + chr(9294 - 9192) + '\x2d' + '\x38')), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xad/\n..\xd7\t\x9a\xedz\x96\xf9'), '\144' + chr(0b1100101) + '\143' + '\157' + '\x64' + chr(0b100110 + 0o77))(chr(0b1011000 + 0o35) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b11010 + 0o36))))
|
apache/incubator-mxnet
|
python/mxnet/module/module.py
|
Module.init_params
|
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None,
allow_missing=False, force_init=False, allow_extra=False):
"""Initializes the parameters and auxiliary states.
Parameters
----------
initializer : Initializer
Called to initialize parameters if needed.
arg_params : dict
If not ``None``, should be a dictionary of existing arg_params. Initialization
will be copied from that.
aux_params : dict
If not ``None``, should be a dictionary of existing aux_params. Initialization
will be copied from that.
allow_missing : bool
If ``True``, params could contain missing values, and the initializer will be
called to fill those missing params.
force_init : bool
If ``True``, will force re-initialize even if already initialized.
allow_extra : boolean, optional
Whether allow extra parameters that are not needed by symbol.
If this is True, no error will be thrown when arg_params or aux_params
contain extra parameters that is not needed by the executor.
"""
if self.params_initialized and not force_init:
warnings.warn("Parameters already initialized and force_init=False. "
"init_params call ignored.", stacklevel=2)
return
assert self.binded, 'call bind before initializing the parameters'
def _impl(name, arr, cache):
"""Internal helper for parameter initialization"""
if cache is not None:
if name in cache:
cache_arr = cache[name]
# just in case the cached array is just the target itself
if cache_arr is not arr:
cache_arr.copyto(arr)
else:
if not allow_missing:
raise RuntimeError("%s is not presented" % name)
if initializer is not None:
initializer(name, arr)
else:
initializer(name, arr)
attrs = self._symbol.attr_dict()
for name, arr in sorted(self._arg_params.items()):
desc = InitDesc(name, attrs.get(name, None))
_impl(desc, arr, arg_params)
for name, arr in sorted(self._aux_params.items()):
desc = InitDesc(name, attrs.get(name, None))
_impl(desc, arr, aux_params)
self.params_initialized = True
self._params_dirty = False
# copy the initialized parameters to devices
self._exec_group.set_params(self._arg_params, self._aux_params,
allow_extra=allow_extra)
|
python
|
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None,
allow_missing=False, force_init=False, allow_extra=False):
"""Initializes the parameters and auxiliary states.
Parameters
----------
initializer : Initializer
Called to initialize parameters if needed.
arg_params : dict
If not ``None``, should be a dictionary of existing arg_params. Initialization
will be copied from that.
aux_params : dict
If not ``None``, should be a dictionary of existing aux_params. Initialization
will be copied from that.
allow_missing : bool
If ``True``, params could contain missing values, and the initializer will be
called to fill those missing params.
force_init : bool
If ``True``, will force re-initialize even if already initialized.
allow_extra : boolean, optional
Whether allow extra parameters that are not needed by symbol.
If this is True, no error will be thrown when arg_params or aux_params
contain extra parameters that is not needed by the executor.
"""
if self.params_initialized and not force_init:
warnings.warn("Parameters already initialized and force_init=False. "
"init_params call ignored.", stacklevel=2)
return
assert self.binded, 'call bind before initializing the parameters'
def _impl(name, arr, cache):
"""Internal helper for parameter initialization"""
if cache is not None:
if name in cache:
cache_arr = cache[name]
# just in case the cached array is just the target itself
if cache_arr is not arr:
cache_arr.copyto(arr)
else:
if not allow_missing:
raise RuntimeError("%s is not presented" % name)
if initializer is not None:
initializer(name, arr)
else:
initializer(name, arr)
attrs = self._symbol.attr_dict()
for name, arr in sorted(self._arg_params.items()):
desc = InitDesc(name, attrs.get(name, None))
_impl(desc, arr, arg_params)
for name, arr in sorted(self._aux_params.items()):
desc = InitDesc(name, attrs.get(name, None))
_impl(desc, arr, aux_params)
self.params_initialized = True
self._params_dirty = False
# copy the initialized parameters to devices
self._exec_group.set_params(self._arg_params, self._aux_params,
allow_extra=allow_extra)
|
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Initializes the parameters and auxiliary states.
Parameters
----------
initializer : Initializer
Called to initialize parameters if needed.
arg_params : dict
If not ``None``, should be a dictionary of existing arg_params. Initialization
will be copied from that.
aux_params : dict
If not ``None``, should be a dictionary of existing aux_params. Initialization
will be copied from that.
allow_missing : bool
If ``True``, params could contain missing values, and the initializer will be
called to fill those missing params.
force_init : bool
If ``True``, will force re-initialize even if already initialized.
allow_extra : boolean, optional
Whether allow extra parameters that are not needed by symbol.
If this is True, no error will be thrown when arg_params or aux_params
contain extra parameters that is not needed by the executor.
|
[
"Initializes",
"the",
"parameters",
"and",
"auxiliary",
"states",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/module.py#L259-L320
|
train
|
Initializes the parameters and auxiliary states of the current state.
|
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(0b101001 + 0o7) + chr(4763 - 4652) + chr(0b10101 + 0o34) + chr(51) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1713 - 1602) + chr(49) + '\060', 24227 - 24219), ehT0Px3KOsy9(chr(639 - 591) + '\x6f' + '\063' + chr(0b110000) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8959 - 8848) + '\x31' + chr(318 - 267) + '\064', 8), ehT0Px3KOsy9(chr(1885 - 1837) + '\x6f' + chr(0b110010) + chr(0b110011) + chr(0b110001), 25661 - 25653), ehT0Px3KOsy9(chr(2103 - 2055) + chr(7695 - 7584) + '\061' + chr(0b110110) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11010 + 0o125) + chr(50) + chr(0b110 + 0o61) + chr(0b110111), 5296 - 5288), ehT0Px3KOsy9(chr(48) + chr(0b1101001 + 0o6) + chr(0b101110 + 0o3) + chr(51) + '\x30', 0o10), ehT0Px3KOsy9(chr(1630 - 1582) + '\x6f' + chr(0b100100 + 0o20) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(8215 - 8104) + chr(0b1000 + 0o53) + '\x37' + chr(0b11111 + 0o23), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(439 - 389) + chr(49) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1110 + 0o43) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + chr(49) + chr(521 - 466) + chr(727 - 678), 0b1000), ehT0Px3KOsy9('\x30' + chr(9994 - 9883) + chr(0b101111 + 0o2) + chr(0b101000 + 0o14) + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(229 - 176) + '\060', 33476 - 33468), ehT0Px3KOsy9('\x30' + chr(0b110101 + 0o72) + chr(0b110011) + chr(0b110111) + chr(0b101011 + 0o11), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(425 - 376) + chr(2457 - 2402) + chr(1194 - 1144), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(846 - 796) + '\066' + chr(358 - 308), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(8156 - 8045) + chr(0b110011) + chr(0b11111 + 0o26) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101000 + 0o7) + chr(0b100001 + 0o25) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111101 + 0o62) + chr(1455 - 1406) + chr(148 - 97) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100000 + 0o22) + chr(0b11010 + 0o27), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(50) + '\x36' + '\061', 40279 - 40271), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(0b101101 + 0o7) + chr(55), 15574 - 15566), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110111) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(2131 - 2078) + chr(0b10 + 0o63), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + chr(0b110011) + '\x36' + chr(0b1111 + 0o46), 34142 - 34134), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\067' + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100101 + 0o15) + chr(0b110000) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b110000) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(53) + chr(0b100010 + 0o22), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(52 - 1) + '\x36' + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(11209 - 11098) + chr(0b10111 + 0o32) + chr(51) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10110 + 0o131) + chr(49) + '\062' + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1000101 + 0o52) + chr(1650 - 1600) + '\x30' + chr(49), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + '\x34' + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(0b11001 + 0o36) + chr(391 - 341), 8), ehT0Px3KOsy9(chr(981 - 933) + chr(0b1101111) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + chr(0b101011 + 0o10) + chr(0b11001 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(1571 - 1523) + '\x6f' + chr(1266 - 1217) + chr(55) + chr(1086 - 1036), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + chr(53) + chr(967 - 919), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'r'), chr(0b1100100) + chr(101) + chr(0b101010 + 0o71) + chr(0b1101111) + chr(0b1000111 + 0o35) + '\x65')(chr(0b1011001 + 0o34) + chr(0b1110100) + chr(102) + chr(0b100100 + 0o11) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def oZNFuAsgrYEN(oVre8I6UXc3b, kwfuYzkY5C57=IZ_mZejMUBkq(0.01), GroVdzCONmWS=None, p9GVyAqRTTRh=None, EvAy_xX2if1F=ehT0Px3KOsy9('\060' + '\x6f' + '\060', 47044 - 47036), WLhLFaYh5g6M=ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1509 - 1461), 8), bUoGDo0a4vdc=ehT0Px3KOsy9(chr(0b110000) + chr(0b110011 + 0o74) + chr(819 - 771), 8)):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x100\xbc&\xe9&\xf7\x1d\x12\xb5\xf6b'), chr(9731 - 9631) + chr(8663 - 8562) + chr(7465 - 7366) + '\157' + chr(100) + '\x65')(chr(0b11110 + 0o127) + chr(0b1110100) + chr(102) + chr(0b10101 + 0o30) + chr(0b110010 + 0o6))) and (not WLhLFaYh5g6M):
xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'2L\x832\xd75\xde:`\xb4\xc7b'), chr(0b1100100) + chr(0b1011110 + 0o7) + '\143' + chr(111) + chr(100) + chr(0b1010110 + 0o17))(chr(117) + '\164' + chr(0b1011111 + 0o7) + chr(0b11011 + 0o22) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x0ci\xb4=\xf4\x12\xcb=T\x89\xacn\x15\x15\r\x9d\x1e\xcb\xca[0x\xc5\xce]\xc1\x9c\x01\xe4 L\x9611\xa1\x87\x15s}\x1f\x03a\xa85\xedJ\xf99J\x89\xe9!Y\x0e\x06\x95\x0e\xed\x9aS,p\xdc\xd4\x1c\xce\x94\x17\xedd\x05\x901:\xf3\x84\x1e/'), chr(0b10010 + 0o122) + '\145' + chr(0b1100011) + chr(8660 - 8549) + chr(275 - 175) + chr(8815 - 8714))(chr(0b1110101) + chr(0b10100 + 0o140) + chr(0b1100110) + '\x2d' + '\x38'), stacklevel=ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50), 0o10))
return
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'*]\x95-\xd5\x01\x8a\x1bk\xcb\xdb\x7f'), chr(0b1001010 + 0o32) + '\x65' + chr(0b1100000 + 0o3) + chr(0b111101 + 0o62) + chr(0b1010110 + 0o16) + '\x65')('\x75' + chr(12391 - 12275) + chr(5010 - 4908) + chr(0b101101) + chr(259 - 203))), xafqLlk3kkUe(SXOLrMavuUCe(b'?i\xaa0\xb9\x15\xd66B\xda\xeej\x1f\x08\x1a\x99Z\xdb\x84[*x\xd0\xcbU\xd7\x9c\x15\xe6d\x18\x9f:u\xf1\x80\x08`s\x1f(m\xb4/'), chr(0b1110 + 0o126) + chr(0b1100011 + 0o2) + chr(0b11110 + 0o105) + '\x6f' + chr(8388 - 8288) + chr(101))('\165' + '\x74' + '\x66' + chr(0b11100 + 0o21) + chr(2593 - 2537))
def aY95n4CUx3ws(AIvJRzLdDfgF, ZxkNvNvuRNy5, j1lPDdxcDbRB):
if j1lPDdxcDbRB is not None:
if AIvJRzLdDfgF in j1lPDdxcDbRB:
GCQy5KLUvWCO = j1lPDdxcDbRB[AIvJRzLdDfgF]
if GCQy5KLUvWCO is not ZxkNvNvuRNy5:
xafqLlk3kkUe(GCQy5KLUvWCO, xafqLlk3kkUe(SXOLrMavuUCe(b'?g\xb6%\xed\x18'), '\x64' + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b1001000 + 0o34) + chr(0b1100101))(chr(1400 - 1283) + chr(13238 - 13122) + chr(5194 - 5092) + '\055' + chr(1775 - 1719)))(ZxkNvNvuRNy5)
else:
if not EvAy_xX2if1F:
raise n0ZkatoveZpF(xafqLlk3kkUe(SXOLrMavuUCe(b'y{\xe65\xeaW\xd17R\xda\xfc}\x1c\x14\r\x92\x0e\xd7\x8e'), chr(100) + chr(0b1100101) + '\143' + '\157' + chr(0b1100100) + '\x65')(chr(117) + chr(0b111011 + 0o71) + chr(0b1100110) + '\055' + chr(0b111000)) % AIvJRzLdDfgF)
if kwfuYzkY5C57 is not None:
kwfuYzkY5C57(AIvJRzLdDfgF, ZxkNvNvuRNy5)
else:
kwfuYzkY5C57(AIvJRzLdDfgF, ZxkNvNvuRNy5)
oIhwMA96NShQ = oVre8I6UXc3b._symbol.attr_dict()
for (AIvJRzLdDfgF, ZxkNvNvuRNy5) in vUlqIvNSaRMa(xafqLlk3kkUe(oVre8I6UXc3b._arg_params, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12r\xb09\xd0-\x8c\x11J\xa9\xc46'), chr(0b100010 + 0o102) + chr(101) + '\143' + '\x6f' + chr(0b1100100) + chr(101))(chr(3254 - 3137) + '\164' + chr(0b1100110) + '\055' + chr(0b10110 + 0o42)))()):
XQWhGt09O88Z = hxTu0yrlLWAX(AIvJRzLdDfgF, oIhwMA96NShQ.get(AIvJRzLdDfgF, None))
aY95n4CUx3ws(XQWhGt09O88Z, ZxkNvNvuRNy5, GroVdzCONmWS)
for (AIvJRzLdDfgF, ZxkNvNvuRNy5) in vUlqIvNSaRMa(xafqLlk3kkUe(oVre8I6UXc3b._aux_params, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12r\xb09\xd0-\x8c\x11J\xa9\xc46'), '\x64' + chr(0b1100101) + chr(0b1001000 + 0o33) + chr(4308 - 4197) + '\x64' + '\x65')('\x75' + '\x74' + chr(0b1100110) + chr(0b101101) + '\070'))()):
XQWhGt09O88Z = hxTu0yrlLWAX(AIvJRzLdDfgF, oIhwMA96NShQ.get(AIvJRzLdDfgF, None))
aY95n4CUx3ws(XQWhGt09O88Z, ZxkNvNvuRNy5, p9GVyAqRTTRh)
oVre8I6UXc3b.L8zzpQHE4Ozm = ehT0Px3KOsy9(chr(48) + '\x6f' + '\061', 8)
oVre8I6UXc3b.nLiQQXoQN3PC = ehT0Px3KOsy9(chr(48) + chr(5888 - 5777) + chr(0b100110 + 0o12), 8)
xafqLlk3kkUe(oVre8I6UXc3b._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'/m\xb2\x03\xe9\x16\xcd9K\x89'), '\x64' + '\x65' + '\x63' + '\x6f' + chr(2826 - 2726) + chr(10096 - 9995))('\165' + '\164' + '\146' + chr(0b11111 + 0o16) + chr(0b111000)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'0n\x809\xed\x04\x8b\x07o\xa9\xef_'), '\x64' + chr(0b111010 + 0o53) + '\143' + '\x6f' + chr(0b1100100) + chr(101))(chr(0b1010101 + 0o40) + chr(0b1101010 + 0o12) + '\x66' + chr(0b101101 + 0o0) + chr(56))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f0\xf0l\xfd\x16\xea6\x16\x9b\xb4]'), chr(0b1100100) + chr(0b1100101) + chr(0b1010101 + 0o16) + chr(0b1101111) + chr(1654 - 1554) + chr(0b1001101 + 0o30))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(45) + '\x38')), allow_extra=bUoGDo0a4vdc)
|
apache/incubator-mxnet
|
python/mxnet/module/module.py
|
Module.set_params
|
def set_params(self, arg_params, aux_params, allow_missing=False, force_init=True,
allow_extra=False):
"""Assigns parameter and aux state values.
Parameters
----------
arg_params : dict
Dictionary of name to `NDArray`.
aux_params : dict
Dictionary of name to `NDArray`.
allow_missing : bool
If ``True``, params could contain missing values, and the initializer will be
called to fill those missing params.
force_init : bool
If ``True``, will force re-initialize even if already initialized.
allow_extra : boolean, optional
Whether allow extra parameters that are not needed by symbol.
If this is True, no error will be thrown when arg_params or aux_params
contain extra parameters that is not needed by the executor.
Examples
--------
>>> # An example of setting module parameters.
>>> sym, arg_params, aux_params = mx.model.load_checkpoint(model_prefix, n_epoch_load)
>>> mod.set_params(arg_params=arg_params, aux_params=aux_params)
"""
if not allow_missing:
self.init_params(initializer=None, arg_params=arg_params, aux_params=aux_params,
allow_missing=allow_missing, force_init=force_init,
allow_extra=allow_extra)
return
if self.params_initialized and not force_init:
warnings.warn("Parameters already initialized and force_init=False. "
"set_params call ignored.", stacklevel=2)
return
self._exec_group.set_params(arg_params, aux_params, allow_extra=allow_extra)
# because we didn't update self._arg_params, they are dirty now.
self._params_dirty = True
self.params_initialized = True
|
python
|
def set_params(self, arg_params, aux_params, allow_missing=False, force_init=True,
allow_extra=False):
"""Assigns parameter and aux state values.
Parameters
----------
arg_params : dict
Dictionary of name to `NDArray`.
aux_params : dict
Dictionary of name to `NDArray`.
allow_missing : bool
If ``True``, params could contain missing values, and the initializer will be
called to fill those missing params.
force_init : bool
If ``True``, will force re-initialize even if already initialized.
allow_extra : boolean, optional
Whether allow extra parameters that are not needed by symbol.
If this is True, no error will be thrown when arg_params or aux_params
contain extra parameters that is not needed by the executor.
Examples
--------
>>> # An example of setting module parameters.
>>> sym, arg_params, aux_params = mx.model.load_checkpoint(model_prefix, n_epoch_load)
>>> mod.set_params(arg_params=arg_params, aux_params=aux_params)
"""
if not allow_missing:
self.init_params(initializer=None, arg_params=arg_params, aux_params=aux_params,
allow_missing=allow_missing, force_init=force_init,
allow_extra=allow_extra)
return
if self.params_initialized and not force_init:
warnings.warn("Parameters already initialized and force_init=False. "
"set_params call ignored.", stacklevel=2)
return
self._exec_group.set_params(arg_params, aux_params, allow_extra=allow_extra)
# because we didn't update self._arg_params, they are dirty now.
self._params_dirty = True
self.params_initialized = True
|
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] |
Assigns parameter and aux state values.
Parameters
----------
arg_params : dict
Dictionary of name to `NDArray`.
aux_params : dict
Dictionary of name to `NDArray`.
allow_missing : bool
If ``True``, params could contain missing values, and the initializer will be
called to fill those missing params.
force_init : bool
If ``True``, will force re-initialize even if already initialized.
allow_extra : boolean, optional
Whether allow extra parameters that are not needed by symbol.
If this is True, no error will be thrown when arg_params or aux_params
contain extra parameters that is not needed by the executor.
Examples
--------
>>> # An example of setting module parameters.
>>> sym, arg_params, aux_params = mx.model.load_checkpoint(model_prefix, n_epoch_load)
>>> mod.set_params(arg_params=arg_params, aux_params=aux_params)
|
[
"Assigns",
"parameter",
"and",
"aux",
"state",
"values",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/module.py#L322-L362
|
train
|
Assigns parameter and aux state values.
|
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(0b1100 + 0o44) + '\157' + chr(980 - 930), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101100 + 0o5) + chr(0b100100 + 0o14) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(1678 - 1630) + chr(111) + chr(49) + chr(559 - 511) + chr(0b10000 + 0o47), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(0b101110 + 0o5) + chr(0b11110 + 0o24) + chr(1059 - 1007), 53659 - 53651), ehT0Px3KOsy9('\x30' + chr(0b100011 + 0o114) + '\x32' + chr(50) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x34' + chr(0b11000 + 0o31), 53339 - 53331), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101101 + 0o5) + chr(2582 - 2529) + chr(141 - 87), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b110110) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b110010) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011 + 0o144) + chr(0b10100 + 0o36) + chr(0b101000 + 0o14), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(51) + '\x31', 10605 - 10597), ehT0Px3KOsy9('\x30' + chr(9835 - 9724) + chr(0b110010) + '\066' + chr(0b11001 + 0o31), 42106 - 42098), ehT0Px3KOsy9(chr(48) + chr(0b1101 + 0o142) + '\062' + chr(54) + chr(49), 0b1000), ehT0Px3KOsy9(chr(787 - 739) + chr(111) + chr(0b110010 + 0o1) + chr(0b1111 + 0o41) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1007 - 959) + chr(4774 - 4663) + chr(0b110011) + chr(0b110110) + chr(0b10010 + 0o37), ord("\x08")), ehT0Px3KOsy9(chr(809 - 761) + chr(0b1011110 + 0o21) + chr(0b110010) + chr(50) + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100011 + 0o16) + '\063' + '\061', 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(2395 - 2345) + chr(54) + chr(49), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(2115 - 2065) + '\063' + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11073 - 10962) + '\061' + chr(49) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(196 - 148) + chr(2131 - 2081), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b110101) + '\065', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b111 + 0o54) + '\x30' + '\x35', 8), ehT0Px3KOsy9(chr(2138 - 2090) + chr(10403 - 10292) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + chr(0b110001) + chr(0b110111) + '\x34', 20600 - 20592), ehT0Px3KOsy9('\x30' + chr(11509 - 11398) + chr(0b110001) + '\x34' + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(8892 - 8781) + chr(0b101101 + 0o5) + chr(142 - 88) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\067' + '\065', 33893 - 33885), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\066' + chr(1268 - 1217), 8), ehT0Px3KOsy9(chr(1373 - 1325) + '\157' + chr(1426 - 1376) + '\x33' + '\x30', 0b1000), ehT0Px3KOsy9(chr(75 - 27) + chr(3919 - 3808) + '\x33' + chr(49) + chr(2103 - 2048), 9919 - 9911), ehT0Px3KOsy9('\060' + chr(5347 - 5236) + chr(50) + '\064' + chr(49), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + '\x34' + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(11687 - 11576) + chr(54) + chr(1200 - 1152), 0b1000), ehT0Px3KOsy9(chr(1233 - 1185) + '\x6f' + chr(0b110001) + chr(1907 - 1853) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + '\x35' + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101101 + 0o2) + chr(49) + chr(0b110001 + 0o5) + chr(2253 - 2205), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1945 - 1895) + chr(48) + chr(1279 - 1230), 1150 - 1142), ehT0Px3KOsy9(chr(48) + chr(0b110101 + 0o72) + chr(0b110011) + chr(0b110011) + chr(1962 - 1911), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011110 + 0o21) + '\x32' + chr(55), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110101) + chr(2078 - 2030), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b','), '\x64' + chr(101) + '\143' + chr(9241 - 9130) + chr(0b1100100) + '\145')(chr(117) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(2583 - 2527)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def NDNV0NPDDpxO(oVre8I6UXc3b, GroVdzCONmWS, p9GVyAqRTTRh, EvAy_xX2if1F=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11110 + 0o22), ord("\x08")), WLhLFaYh5g6M=ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001), 0o10), bUoGDo0a4vdc=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1459 - 1411), 8)):
if not EvAy_xX2if1F:
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'k/.\xa0\xcbQ\xcf\x055y\xaa'), chr(100) + chr(0b1100101) + '\143' + chr(0b11100 + 0o123) + chr(0b1011100 + 0o10) + '\x65')(chr(0b1110011 + 0o2) + '\164' + chr(0b111110 + 0o50) + '\055' + chr(56)))(initializer=None, arg_params=GroVdzCONmWS, aux_params=p9GVyAqRTTRh, allow_missing=EvAy_xX2if1F, force_init=WLhLFaYh5g6M, allow_extra=bUoGDo0a4vdc)
return
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'Ny=\xae\xe4p\xe62`[\xa3\xdf'), chr(0b1100100) + chr(5127 - 5026) + chr(0b1100011) + '\x6f' + '\144' + '\145')(chr(8350 - 8233) + chr(4289 - 4173) + chr(0b10011 + 0o123) + chr(0b1010 + 0o43) + chr(0b111000))) and (not WLhLFaYh5g6M):
xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'l\x05\x02\xba\xdac\xcf\x15\x12Z\x92\xdf'), chr(5203 - 5103) + chr(0b1100101) + chr(3192 - 3093) + chr(0b1101111) + chr(0b1100100) + '\145')('\165' + chr(0b11110 + 0o126) + chr(0b1100110) + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'R 5\xb5\xf9D\xda\x12&g\xf9\xd3\xdd\xb7\x94\xf2=\xc8\xbf",\x04\xb1l\x1d\t\xda\x87\xd6\xfc\xef\xc0\x89TT\r\x1f\xf3\xb8r]()\xbd\xe0\x1c\xe8\x168g\xbc\x9c\x91\xb6\x94\xe7\x06\xc1\xfe9#\x00\xb6%\x1f\x04\xdf\x91\x93\xf1\xa8\xcf\x88B\x11\x0f^'), '\144' + chr(0b1100101) + '\x63' + '\x6f' + chr(0b100010 + 0o102) + chr(0b1001001 + 0o34))('\x75' + chr(116) + '\x66' + chr(45) + chr(0b10 + 0o66)), stacklevel=ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32', 8))
return
xafqLlk3kkUe(oVre8I6UXc3b._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'q$3\x8b\xe4@\xdc\x169g'), '\x64' + chr(0b1100101) + '\143' + chr(0b1001100 + 0o43) + chr(3772 - 3672) + chr(0b1010010 + 0o23))('\x75' + chr(0b111111 + 0o65) + chr(0b100 + 0o142) + chr(657 - 612) + chr(0b101 + 0o63)))(GroVdzCONmWS, p9GVyAqRTTRh, allow_extra=bUoGDo0a4vdc)
oVre8I6UXc3b.nLiQQXoQN3PC = ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11111 + 0o22), 8)
oVre8I6UXc3b.L8zzpQHE4Ozm = ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1000011 + 0o54) + chr(49), 8)
|
apache/incubator-mxnet
|
python/mxnet/module/module.py
|
Module.bind
|
def bind(self, data_shapes, label_shapes=None, for_training=True,
inputs_need_grad=False, force_rebind=False, shared_module=None,
grad_req='write'):
"""Binds the symbols to construct executors. This is necessary before one
can perform computation with the module.
Parameters
----------
data_shapes : list of (str, tuple)
Typically is ``data_iter.provide_data``.
label_shapes : list of (str, tuple)
Typically is ``data_iter.provide_label``.
for_training : bool
Default is ``True``. Whether the executors should be bound for training.
inputs_need_grad : bool
Default is ``False``. Whether the gradients to the input data need to be computed.
Typically this is not needed. But this might be needed when implementing composition
of modules.
force_rebind : bool
Default is ``False``. This function does nothing if the executors are already
bound. But with this ``True``, the executors will be forced to rebind.
shared_module : Module
Default is ``None``. This is used in bucketing. When not ``None``, the shared module
essentially corresponds to a different bucket -- a module with different symbol
but with the same sets of parameters (e.g. unrolled RNNs with different lengths).
"""
# force rebinding is typically used when one want to switch from
# training to prediction phase.
if force_rebind:
self._reset_bind()
if self.binded:
self.logger.warning('Already bound, ignoring bind()')
return
self.for_training = for_training
self.inputs_need_grad = inputs_need_grad
self._grad_req = grad_req
if not for_training:
assert not inputs_need_grad
else:
pass
# this is not True, as some module might not contains a loss function
# that consumes the labels
# assert label_shapes is not None
self._data_shapes, self._label_shapes = _parse_data_desc(
self.data_names, self.label_names, data_shapes, label_shapes)
if shared_module is not None:
assert isinstance(shared_module, Module) and \
shared_module.binded and shared_module.params_initialized
shared_group = shared_module._exec_group
assert len(shared_group.execs) >= len(self._context)
else:
shared_group = None
self._exec_group = DataParallelExecutorGroup(self._symbol, self._context,
self._work_load_list, self._data_shapes,
self._label_shapes, self._param_names,
for_training, inputs_need_grad,
shared_group, logger=self.logger,
fixed_param_names=self._fixed_param_names,
grad_req=grad_req, group2ctxs=self._group2ctxs,
state_names=self._state_names)
self._total_exec_bytes = self._exec_group._total_exec_bytes
if shared_module is not None:
self.params_initialized = True
self._arg_params = shared_module._arg_params
self._aux_params = shared_module._aux_params
elif self.params_initialized:
# if the parameters are already initialized, we are re-binding
# so automatically copy the already initialized params
self._exec_group.set_params(self._arg_params, self._aux_params)
else:
assert self._arg_params is None and self._aux_params is None
param_arrays = [
zeros(shape=x[0].shape, dtype=x[0].dtype, stype=x[0].stype)
for x in self._exec_group.param_arrays
]
self._arg_params = {name:arr for name, arr in zip(self._param_names, param_arrays)}
aux_arrays = [
zeros(x[0].shape, dtype=x[0].dtype)
for x in self._exec_group.aux_arrays
]
self._aux_params = {name:arr for name, arr in zip(self._aux_names, aux_arrays)}
if shared_module is not None and shared_module.optimizer_initialized:
self.borrow_optimizer(shared_module)
self.binded = True
|
python
|
def bind(self, data_shapes, label_shapes=None, for_training=True,
inputs_need_grad=False, force_rebind=False, shared_module=None,
grad_req='write'):
"""Binds the symbols to construct executors. This is necessary before one
can perform computation with the module.
Parameters
----------
data_shapes : list of (str, tuple)
Typically is ``data_iter.provide_data``.
label_shapes : list of (str, tuple)
Typically is ``data_iter.provide_label``.
for_training : bool
Default is ``True``. Whether the executors should be bound for training.
inputs_need_grad : bool
Default is ``False``. Whether the gradients to the input data need to be computed.
Typically this is not needed. But this might be needed when implementing composition
of modules.
force_rebind : bool
Default is ``False``. This function does nothing if the executors are already
bound. But with this ``True``, the executors will be forced to rebind.
shared_module : Module
Default is ``None``. This is used in bucketing. When not ``None``, the shared module
essentially corresponds to a different bucket -- a module with different symbol
but with the same sets of parameters (e.g. unrolled RNNs with different lengths).
"""
# force rebinding is typically used when one want to switch from
# training to prediction phase.
if force_rebind:
self._reset_bind()
if self.binded:
self.logger.warning('Already bound, ignoring bind()')
return
self.for_training = for_training
self.inputs_need_grad = inputs_need_grad
self._grad_req = grad_req
if not for_training:
assert not inputs_need_grad
else:
pass
# this is not True, as some module might not contains a loss function
# that consumes the labels
# assert label_shapes is not None
self._data_shapes, self._label_shapes = _parse_data_desc(
self.data_names, self.label_names, data_shapes, label_shapes)
if shared_module is not None:
assert isinstance(shared_module, Module) and \
shared_module.binded and shared_module.params_initialized
shared_group = shared_module._exec_group
assert len(shared_group.execs) >= len(self._context)
else:
shared_group = None
self._exec_group = DataParallelExecutorGroup(self._symbol, self._context,
self._work_load_list, self._data_shapes,
self._label_shapes, self._param_names,
for_training, inputs_need_grad,
shared_group, logger=self.logger,
fixed_param_names=self._fixed_param_names,
grad_req=grad_req, group2ctxs=self._group2ctxs,
state_names=self._state_names)
self._total_exec_bytes = self._exec_group._total_exec_bytes
if shared_module is not None:
self.params_initialized = True
self._arg_params = shared_module._arg_params
self._aux_params = shared_module._aux_params
elif self.params_initialized:
# if the parameters are already initialized, we are re-binding
# so automatically copy the already initialized params
self._exec_group.set_params(self._arg_params, self._aux_params)
else:
assert self._arg_params is None and self._aux_params is None
param_arrays = [
zeros(shape=x[0].shape, dtype=x[0].dtype, stype=x[0].stype)
for x in self._exec_group.param_arrays
]
self._arg_params = {name:arr for name, arr in zip(self._param_names, param_arrays)}
aux_arrays = [
zeros(x[0].shape, dtype=x[0].dtype)
for x in self._exec_group.aux_arrays
]
self._aux_params = {name:arr for name, arr in zip(self._aux_names, aux_arrays)}
if shared_module is not None and shared_module.optimizer_initialized:
self.borrow_optimizer(shared_module)
self.binded = True
|
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Parameters
----------
data_shapes : list of (str, tuple)
Typically is ``data_iter.provide_data``.
label_shapes : list of (str, tuple)
Typically is ``data_iter.provide_label``.
for_training : bool
Default is ``True``. Whether the executors should be bound for training.
inputs_need_grad : bool
Default is ``False``. Whether the gradients to the input data need to be computed.
Typically this is not needed. But this might be needed when implementing composition
of modules.
force_rebind : bool
Default is ``False``. This function does nothing if the executors are already
bound. But with this ``True``, the executors will be forced to rebind.
shared_module : Module
Default is ``None``. This is used in bucketing. When not ``None``, the shared module
essentially corresponds to a different bucket -- a module with different symbol
but with the same sets of parameters (e.g. unrolled RNNs with different lengths).
|
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/module.py#L364-L456
|
train
|
Binds the executors to construct executors.
|
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' + '\x35' + chr(935 - 886), 47909 - 47901), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + '\065' + chr(0b100000 + 0o20), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101 + 0o142) + chr(1083 - 1032) + chr(275 - 224) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4228 - 4117) + chr(50) + '\x34' + '\x36', 56672 - 56664), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(241 - 190) + '\066' + chr(818 - 766), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011010 + 0o25) + '\064' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(271 - 223) + '\157' + chr(0b100110 + 0o14) + chr(2764 - 2710) + '\066', 30098 - 30090), ehT0Px3KOsy9(chr(1423 - 1375) + chr(0b1101111) + chr(0b110001) + '\060' + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(11132 - 11021) + chr(1018 - 967) + '\x30' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + chr(0b110010) + chr(55) + '\x36', 52017 - 52009), ehT0Px3KOsy9(chr(0b110000) + chr(8626 - 8515) + chr(0b1001 + 0o51) + chr(0b101101 + 0o10) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(364 - 314) + '\063' + chr(54), 0o10), ehT0Px3KOsy9(chr(1616 - 1568) + '\x6f' + chr(0b110001) + chr(1163 - 1113) + '\065', 0o10), ehT0Px3KOsy9(chr(2299 - 2251) + chr(10214 - 10103) + chr(0b110011) + '\x36' + chr(0b110111), 47853 - 47845), ehT0Px3KOsy9(chr(2133 - 2085) + chr(9389 - 9278) + chr(0b110001) + chr(0b101111 + 0o6) + '\064', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1 + 0o60) + chr(0b110100) + '\062', 40034 - 40026), ehT0Px3KOsy9(chr(514 - 466) + '\157' + chr(0b110111 + 0o0) + chr(0b101011 + 0o11), 29880 - 29872), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101110 + 0o3) + '\x33' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(1667 - 1619) + '\x6f' + '\x33' + chr(48) + chr(0b110101), 29084 - 29076), ehT0Px3KOsy9(chr(950 - 902) + chr(4357 - 4246) + chr(0b110001) + '\x37' + '\x33', 63740 - 63732), ehT0Px3KOsy9(chr(48) + chr(0b1001100 + 0o43) + '\066' + chr(249 - 196), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + chr(50) + chr(0b110100) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(0b110011) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b100111 + 0o110) + chr(51) + chr(733 - 682) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\060' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(244 - 133) + chr(0b101101 + 0o4) + chr(50) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5443 - 5332) + chr(756 - 707) + '\063' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110000 + 0o2) + '\x32' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1397 - 1286) + chr(0b110001) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\061' + chr(1333 - 1283), 0o10), ehT0Px3KOsy9(chr(1996 - 1948) + chr(0b1101011 + 0o4) + '\063' + '\x35' + chr(0b10010 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + chr(0b110011) + '\x30' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + chr(2243 - 2193) + '\067' + chr(374 - 324), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101111 + 0o100) + chr(50) + '\x36' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(9292 - 9181) + chr(0b1100 + 0o47) + chr(0b110110) + chr(0b10001 + 0o37), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b111 + 0o53) + '\066' + chr(2171 - 2118), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b110100 + 0o3) + '\x31', 48843 - 48835), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + '\065' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(2104 - 2055) + chr(2004 - 1953) + chr(53), 8), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(0b110011) + chr(51) + chr(0b110000), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(5106 - 4995) + chr(0b110101) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x07'), chr(6269 - 6169) + chr(4830 - 4729) + '\143' + '\157' + '\144' + chr(0b1100101))(chr(666 - 549) + chr(116) + chr(0b1100110) + chr(45) + chr(1561 - 1505)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def RxybUDNegxKp(oVre8I6UXc3b, YtBSCi2IqLNC, I20ITSLWMkxm=None, niBS8zuJW5W8=ehT0Px3KOsy9('\060' + '\157' + chr(0b100001 + 0o20), ord("\x08")), rZk4UVSUfv_X=ehT0Px3KOsy9(chr(1186 - 1138) + chr(0b1101111) + chr(48), 28025 - 28017), jvgJ056jq9JK=ehT0Px3KOsy9(chr(0b110000) + chr(0b1000101 + 0o52) + chr(48), 8), BWJ3OwfvHl8n=None, aPO3geeCGwU6=xafqLlk3kkUe(SXOLrMavuUCe(b'^\x1a\xb3\xd2\x91'), chr(5758 - 5658) + chr(0b101000 + 0o75) + chr(99) + chr(835 - 724) + chr(3658 - 3558) + chr(9872 - 9771))(chr(117) + '\164' + chr(0b1100110) + '\x2d' + '\x38')):
if jvgJ056jq9JK:
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'v\x1a\xbf\xd5\x91V\xe9"\xaf\xd0\xcd'), '\144' + chr(101) + chr(99) + chr(1786 - 1675) + chr(0b1010000 + 0o24) + '\x65')(chr(5571 - 5454) + chr(0b11100 + 0o130) + chr(102) + '\x2d' + chr(0b111000)))()
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'_=\x89\xd7\xb8T\x83\x03\x8b\x8f\xfe\xee'), '\x64' + chr(9792 - 9691) + '\143' + chr(0b1101111) + '\144' + chr(773 - 672))('\x75' + chr(0b1110100) + '\x66' + chr(0b11111 + 0o16) + '\070')):
xafqLlk3kkUe(oVre8I6UXc3b.logger, xafqLlk3kkUe(SXOLrMavuUCe(b'^\t\xa8\xc8\x9dL\xd1'), '\144' + chr(0b1100101) + '\143' + chr(9342 - 9231) + '\144' + '\145')(chr(7483 - 7366) + chr(116) + chr(102) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'h\x04\xa8\xc3\x95F\xcf`\xa4\xd1\xdc\xf01\xdbL\x0b[5\xaa\t\\\xcf:\xf9%94\xf4#\xa3'), chr(2801 - 2701) + chr(0b1100100 + 0o1) + chr(0b1100011) + '\157' + '\x64' + chr(0b111000 + 0o55))('\165' + chr(12654 - 12538) + chr(0b1100110) + chr(45) + chr(0b111000)))
return
oVre8I6UXc3b.niBS8zuJW5W8 = niBS8zuJW5W8
oVre8I6UXc3b.rZk4UVSUfv_X = rZk4UVSUfv_X
oVre8I6UXc3b.oVUUB72blLhv = aPO3geeCGwU6
if not niBS8zuJW5W8:
assert not rZk4UVSUfv_X
else:
pass
(oVre8I6UXc3b.qOSsFbxz_mJe, oVre8I6UXc3b.aeRwQBDErTCO) = Y_s01brVtNat(oVre8I6UXc3b.qBtzKag1J9_6, oVre8I6UXc3b.Vj3tZJYkyfnB, YtBSCi2IqLNC, I20ITSLWMkxm)
if BWJ3OwfvHl8n is not None:
assert PlSM16l2KDPD(BWJ3OwfvHl8n, xUAoUBrV8Bpt) and xafqLlk3kkUe(BWJ3OwfvHl8n, xafqLlk3kkUe(SXOLrMavuUCe(b'_=\x89\xd7\xb8T\x83\x03\x8b\x8f\xfe\xee'), '\x64' + chr(101) + chr(9032 - 8933) + chr(0b1101100 + 0o3) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(7060 - 6944) + chr(0b1100110) + chr(0b1111 + 0o36) + chr(0b111000))) and xafqLlk3kkUe(BWJ3OwfvHl8n, xafqLlk3kkUe(SXOLrMavuUCe(b'eP\xa0\xdc\x84s\xfe\x05\xf2\xf1\xd3\xf3'), chr(0b1100100) + chr(0b1100101) + chr(0b11110 + 0o105) + chr(0b1101111) + chr(0b10100 + 0o120) + '\145')(chr(117) + chr(3283 - 3167) + chr(102) + chr(0b101101) + chr(1505 - 1449)))
Gel1OesVk5gB = BWJ3OwfvHl8n.rwlcTjYduhbI
assert c2A0yzQpDQB3(xafqLlk3kkUe(Gel1OesVk5gB, xafqLlk3kkUe(SXOLrMavuUCe(b'gY\xe3\xf3\xa4\x16\xd4\x06\xab\x86\x98\xae'), '\144' + chr(0b111101 + 0o50) + '\143' + chr(0b1101111) + chr(0b101011 + 0o71) + chr(0b1100101))(chr(0b1100101 + 0o20) + '\164' + '\146' + chr(0b101101) + chr(0b110011 + 0o5)))) >= c2A0yzQpDQB3(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'v\x0b\xb5\xc8\x80G\xce4'), chr(100) + chr(0b1001110 + 0o27) + chr(99) + chr(111) + '\144' + chr(0b1100101))(chr(0b1010101 + 0o40) + chr(116) + '\146' + '\055' + chr(0b100101 + 0o23))))
else:
Gel1OesVk5gB = None
oVre8I6UXc3b.rwlcTjYduhbI = JqccwgCKfu2G(oVre8I6UXc3b._symbol, oVre8I6UXc3b._context, oVre8I6UXc3b._work_load_list, oVre8I6UXc3b.qOSsFbxz_mJe, oVre8I6UXc3b.aeRwQBDErTCO, oVre8I6UXc3b._param_names, niBS8zuJW5W8, rZk4UVSUfv_X, Gel1OesVk5gB, logger=oVre8I6UXc3b.logger, fixed_param_names=oVre8I6UXc3b._fixed_param_names, grad_req=aPO3geeCGwU6, group2ctxs=oVre8I6UXc3b._group2ctxs, state_names=oVre8I6UXc3b._state_names)
oVre8I6UXc3b.NCYHBQnpiGNf = oVre8I6UXc3b._exec_group.NCYHBQnpiGNf
if BWJ3OwfvHl8n is not None:
oVre8I6UXc3b.L8zzpQHE4Ozm = ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49), 8)
oVre8I6UXc3b.lfFets4_IScP = BWJ3OwfvHl8n.lfFets4_IScP
oVre8I6UXc3b.S860daUn0a8R = BWJ3OwfvHl8n.S860daUn0a8R
elif xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'eP\xa0\xdc\x84s\xfe\x05\xf2\xf1\xd3\xf3'), chr(9607 - 9507) + chr(0b1011000 + 0o15) + chr(0b1100011) + chr(111) + chr(0b1000001 + 0o43) + chr(8234 - 8133))('\x75' + chr(116) + chr(102) + '\055' + chr(0b10011 + 0o45))):
xafqLlk3kkUe(oVre8I6UXc3b._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'Z\r\xae\xf9\x84C\xc4!\xab\xcd'), chr(0b1100100) + '\145' + chr(3248 - 3149) + chr(111) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(7153 - 7051) + '\055' + chr(0b111000)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'E\x0e\x9c\xc3\x80Q\x82\x1f\x8f\xed\xca\xce'), '\144' + chr(0b111000 + 0o55) + chr(0b1100011) + chr(6083 - 5972) + chr(0b1010010 + 0o22) + '\x65')(chr(0b1100100 + 0o21) + chr(116) + '\146' + chr(0b11111 + 0o16) + chr(0b111000))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'zP\xec\x96\x90C\xe3.\xf6\xdf\x91\xcc'), '\144' + chr(0b11 + 0o142) + '\x63' + chr(4043 - 3932) + '\144' + '\x65')('\165' + chr(0b1110100) + chr(6189 - 6087) + chr(0b100 + 0o51) + '\070')))
else:
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'E\x0e\x9c\xc3\x80Q\x82\x1f\x8f\xed\xca\xce'), chr(100) + '\145' + chr(0b1100011) + chr(0b100101 + 0o112) + chr(100) + chr(0b101101 + 0o70))(chr(117) + chr(0b111000 + 0o74) + chr(9227 - 9125) + chr(0b101101) + '\x38')) is None and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'zP\xec\x96\x90C\xe3.\xf6\xdf\x91\xcc'), '\x64' + '\145' + chr(3662 - 3563) + chr(0b1101111) + '\x64' + chr(101))('\x75' + chr(5676 - 5560) + chr(0b1100110) + chr(45) + chr(0b11110 + 0o32))) is None
IFj0xeHCaGrO = [_rHwoyvtca4E(shape=OeWW0F1dBPRQ[ehT0Px3KOsy9('\x30' + chr(111) + '\060', 8)].nauYfLglTpcb, dtype=OeWW0F1dBPRQ[ehT0Px3KOsy9(chr(1718 - 1670) + chr(111) + chr(0b101111 + 0o1), 8)].jSV9IKnemH7K, stype=OeWW0F1dBPRQ[ehT0Px3KOsy9(chr(2173 - 2125) + chr(0b1101111) + chr(48), 8)].stype) for OeWW0F1dBPRQ in oVre8I6UXc3b._exec_group.IFj0xeHCaGrO]
oVre8I6UXc3b.lfFets4_IScP = {AIvJRzLdDfgF: ZxkNvNvuRNy5 for (AIvJRzLdDfgF, ZxkNvNvuRNy5) in pZ0NK2y6HRbn(oVre8I6UXc3b._param_names, IFj0xeHCaGrO)}
TQRMEe8h7JM9 = [_rHwoyvtca4E(OeWW0F1dBPRQ[ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x30', 8)].nauYfLglTpcb, dtype=OeWW0F1dBPRQ[ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11111 + 0o21), 8)].jSV9IKnemH7K) for OeWW0F1dBPRQ in oVre8I6UXc3b._exec_group.TQRMEe8h7JM9]
oVre8I6UXc3b.S860daUn0a8R = {AIvJRzLdDfgF: ZxkNvNvuRNy5 for (AIvJRzLdDfgF, ZxkNvNvuRNy5) in pZ0NK2y6HRbn(oVre8I6UXc3b._aux_names, TQRMEe8h7JM9)}
if BWJ3OwfvHl8n is not None and xafqLlk3kkUe(BWJ3OwfvHl8n, xafqLlk3kkUe(SXOLrMavuUCe(b'J\x1c\xac\x90\xb6\x1b\xf4u\x8e\x89\x90\xf3'), chr(0b101101 + 0o67) + chr(101) + chr(99) + '\x6f' + chr(0b1100100) + chr(6279 - 6178))(chr(1359 - 1242) + '\164' + '\x66' + '\055' + '\070')):
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'K\x07\xa8\xd4\x9bU\xe9/\xb6\xca\xc0\xf3<\x8d\t\x10'), '\144' + '\145' + chr(0b1000010 + 0o41) + chr(5454 - 5343) + chr(0b1100100) + chr(0b1100101))('\165' + chr(8380 - 8264) + chr(0b1001110 + 0o30) + chr(45) + '\x38'))(BWJ3OwfvHl8n)
oVre8I6UXc3b.vUSqLv5CM1Wp = ehT0Px3KOsy9(chr(293 - 245) + '\x6f' + chr(0b11000 + 0o31), 8)
|
apache/incubator-mxnet
|
python/mxnet/module/module.py
|
Module.reshape
|
def reshape(self, data_shapes, label_shapes=None):
"""Reshapes the module for new input shapes.
Parameters
----------
data_shapes : list of (str, tuple)
Typically is ``data_iter.provide_data``.
label_shapes : list of (str, tuple)
Typically is ``data_iter.provide_label``.
"""
assert self.binded
self._data_shapes, self._label_shapes = _parse_data_desc(
self.data_names, self.label_names, data_shapes, label_shapes)
self._exec_group.reshape(self._data_shapes, self._label_shapes)
|
python
|
def reshape(self, data_shapes, label_shapes=None):
"""Reshapes the module for new input shapes.
Parameters
----------
data_shapes : list of (str, tuple)
Typically is ``data_iter.provide_data``.
label_shapes : list of (str, tuple)
Typically is ``data_iter.provide_label``.
"""
assert self.binded
self._data_shapes, self._label_shapes = _parse_data_desc(
self.data_names, self.label_names, data_shapes, label_shapes)
self._exec_group.reshape(self._data_shapes, self._label_shapes)
|
[
"def",
"reshape",
"(",
"self",
",",
"data_shapes",
",",
"label_shapes",
"=",
"None",
")",
":",
"assert",
"self",
".",
"binded",
"self",
".",
"_data_shapes",
",",
"self",
".",
"_label_shapes",
"=",
"_parse_data_desc",
"(",
"self",
".",
"data_names",
",",
"self",
".",
"label_names",
",",
"data_shapes",
",",
"label_shapes",
")",
"self",
".",
"_exec_group",
".",
"reshape",
"(",
"self",
".",
"_data_shapes",
",",
"self",
".",
"_label_shapes",
")"
] |
Reshapes the module for new input shapes.
Parameters
----------
data_shapes : list of (str, tuple)
Typically is ``data_iter.provide_data``.
label_shapes : list of (str, tuple)
Typically is ``data_iter.provide_label``.
|
[
"Reshapes",
"the",
"module",
"for",
"new",
"input",
"shapes",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/module.py#L458-L472
|
train
|
Reshapes the module for new input shapes.
|
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) + '\061' + '\x32' + chr(2318 - 2267), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + '\x32' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(1138 - 1090) + '\157' + chr(49) + chr(0b111 + 0o53) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1959 - 1911) + chr(0b1101111) + chr(0b110001) + chr(48) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(53) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(2276 - 2228) + chr(0b110010 + 0o75) + '\x32' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b110100) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100000 + 0o21) + chr(0b110010) + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(1893 - 1840) + chr(1867 - 1813), 8), ehT0Px3KOsy9('\060' + chr(8778 - 8667) + chr(50) + chr(694 - 643) + chr(0b1101 + 0o51), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(54) + chr(0b10111 + 0o33), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1010110 + 0o31) + chr(0b110110) + chr(0b1010 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(9068 - 8957) + chr(1899 - 1849) + chr(387 - 332) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b100111 + 0o14) + chr(194 - 143) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(2552 - 2501) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\064' + chr(0b101 + 0o62), 49190 - 49182), ehT0Px3KOsy9('\060' + '\x6f' + chr(52) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + '\064' + chr(0b110110), 31261 - 31253), ehT0Px3KOsy9('\060' + '\x6f' + chr(1821 - 1770) + chr(0b101011 + 0o7) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + chr(0b110001 + 0o2) + chr(1043 - 991) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110000 + 0o3) + '\063' + '\066', 3199 - 3191), ehT0Px3KOsy9(chr(0b110000) + chr(8449 - 8338) + chr(0b110101) + chr(0b101011 + 0o12), 0b1000), ehT0Px3KOsy9(chr(1396 - 1348) + chr(0b1101111) + chr(52 - 2) + '\x34' + '\062', 37109 - 37101), ehT0Px3KOsy9('\060' + chr(0b1100011 + 0o14) + chr(50) + chr(1967 - 1918) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(49) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8029 - 7918) + chr(523 - 472) + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11860 - 11749) + chr(51) + chr(0b110100) + '\x37', 18432 - 18424), ehT0Px3KOsy9('\x30' + chr(0b11001 + 0o126) + chr(0b110010) + chr(0b110010 + 0o0) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(624 - 576) + '\157' + '\061' + chr(0b110000) + '\064', 0b1000), ehT0Px3KOsy9(chr(2219 - 2171) + chr(0b1101111) + chr(51) + '\x37' + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(5376 - 5265) + '\063' + chr(48) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\065' + chr(53), 8), ehT0Px3KOsy9('\060' + '\157' + chr(2223 - 2173) + '\067', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101101 + 0o6) + chr(222 - 173) + chr(1171 - 1118), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b0 + 0o157) + chr(1784 - 1735) + chr(0b100111 + 0o13) + '\x31', 0b1000), ehT0Px3KOsy9(chr(690 - 642) + chr(111) + chr(52) + chr(1231 - 1183), 8), ehT0Px3KOsy9(chr(1666 - 1618) + chr(0b101000 + 0o107) + chr(0b10100 + 0o36) + chr(53) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(111 - 62) + chr(53) + chr(1467 - 1419), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1010 + 0o51) + chr(0b110101) + chr(0b1001 + 0o50), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(9560 - 9449) + chr(0b110010) + chr(1584 - 1534) + chr(0b10010 + 0o42), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + '\x35' + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'}'), chr(3960 - 3860) + chr(0b110100 + 0o61) + '\143' + '\x6f' + '\x64' + '\x65')(chr(0b1000011 + 0o62) + chr(0b1110100) + chr(8860 - 8758) + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def CZESqVmz1gYg(oVre8I6UXc3b, YtBSCi2IqLNC, I20ITSLWMkxm=None):
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'%\x86\x052\xe2aQ\x16\xe3\xaf\xe5F'), chr(0b100110 + 0o76) + '\x65' + chr(0b1100011) + chr(0b10101 + 0o132) + chr(100) + chr(101))('\x75' + chr(116) + '\146' + '\055' + chr(56)))
(oVre8I6UXc3b.qOSsFbxz_mJe, oVre8I6UXc3b.aeRwQBDErTCO) = Y_s01brVtNat(oVre8I6UXc3b.qBtzKag1J9_6, oVre8I6UXc3b.Vj3tZJYkyfnB, YtBSCi2IqLNC, I20ITSLWMkxm)
xafqLlk3kkUe(oVre8I6UXc3b._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'!\xb6%+\xcfg\x01'), chr(100) + chr(2351 - 2250) + chr(8319 - 8220) + chr(0b1110 + 0o141) + chr(5520 - 5420) + chr(0b1100101))(chr(0b1101000 + 0o15) + chr(116) + '\146' + chr(45) + chr(56)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'"\x9c\x050\xe8u\x1c/\xf1\xf3\xf8S'), chr(100) + '\x65' + chr(0b100000 + 0o103) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(0b1001 + 0o154) + '\164' + chr(0b1100110) + chr(76 - 31) + chr(56))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'2\xb6\x044\xffU \x10\xdc\xca\xf1y'), chr(100) + chr(101) + '\143' + chr(4306 - 4195) + chr(0b1100100) + '\x65')(chr(9882 - 9765) + chr(11144 - 11028) + chr(102) + chr(45) + '\x38')))
|
apache/incubator-mxnet
|
python/mxnet/module/module.py
|
Module.init_optimizer
|
def init_optimizer(self, kvstore='local', optimizer='sgd',
optimizer_params=(('learning_rate', 0.01),), force_init=False):
"""Installs and initializes optimizers.
Parameters
----------
kvstore : str or KVStore
Default `'local'`.
optimizer : str or Optimizer
Default `'sgd'`
optimizer_params : dict
Default `(('learning_rate', 0.01),)`. The default value is not a dictionary,
just to avoid pylint warning of dangerous default values.
force_init : bool
Default ``False``, indicating whether we should force re-initializing the
optimizer in the case an optimizer is already installed.
"""
assert self.binded and self.params_initialized
if self.optimizer_initialized and not force_init:
self.logger.warning('optimizer already initialized, ignoring...')
return
if self._params_dirty:
self._sync_params_from_devices()
(kvstore, update_on_kvstore) = \
_create_kvstore(kvstore, len(self._context), self._arg_params)
batch_size = self._exec_group.batch_size
if kvstore and 'dist' in kvstore.type and '_sync' in kvstore.type:
batch_size *= kvstore.num_workers
rescale_grad = 1.0/batch_size
idx2name = {}
if update_on_kvstore:
idx2name.update(enumerate(self._exec_group.param_names))
else:
for k in range(len(self._context)):
idx2name.update({i*len(self._context)+k: n
for i, n in enumerate(self._exec_group.param_names)})
if isinstance(optimizer, str):
optimizer_params = dict(optimizer_params)
if 'rescale_grad' not in optimizer_params:
optimizer_params['rescale_grad'] = rescale_grad
optimizer = opt.create(optimizer,
sym=self.symbol, param_idx2name=idx2name,
**optimizer_params)
else:
assert isinstance(optimizer, opt.Optimizer)
if optimizer.rescale_grad != rescale_grad:
#pylint: disable=no-member
warnings.warn(
"Optimizer created manually outside Module but rescale_grad " +
"is not normalized to 1.0/batch_size/num_workers (%s vs. %s). "%(
optimizer.rescale_grad, rescale_grad) +
"Is this intended?", stacklevel=2)
if not optimizer.idx2name:
optimizer.idx2name = idx2name.copy()
self._optimizer = optimizer
self._kvstore = kvstore
self._update_on_kvstore = update_on_kvstore
self._updater = None
if kvstore:
if self._compression_params:
kvstore.set_gradient_compression(self._compression_params)
if update_on_kvstore:
kvstore.set_optimizer(self._optimizer)
# copy initialized local parameters to kvstore
_initialize_kvstore(kvstore=kvstore,
param_arrays=self._exec_group.param_arrays,
arg_params=self._arg_params,
param_names=self._param_names,
update_on_kvstore=update_on_kvstore)
if not update_on_kvstore:
self._updater = opt.get_updater(optimizer)
self.optimizer_initialized = True
if self._preload_opt_states is not None:
self.load_optimizer_states(self._preload_opt_states)
self._preload_opt_states = None
|
python
|
def init_optimizer(self, kvstore='local', optimizer='sgd',
optimizer_params=(('learning_rate', 0.01),), force_init=False):
"""Installs and initializes optimizers.
Parameters
----------
kvstore : str or KVStore
Default `'local'`.
optimizer : str or Optimizer
Default `'sgd'`
optimizer_params : dict
Default `(('learning_rate', 0.01),)`. The default value is not a dictionary,
just to avoid pylint warning of dangerous default values.
force_init : bool
Default ``False``, indicating whether we should force re-initializing the
optimizer in the case an optimizer is already installed.
"""
assert self.binded and self.params_initialized
if self.optimizer_initialized and not force_init:
self.logger.warning('optimizer already initialized, ignoring...')
return
if self._params_dirty:
self._sync_params_from_devices()
(kvstore, update_on_kvstore) = \
_create_kvstore(kvstore, len(self._context), self._arg_params)
batch_size = self._exec_group.batch_size
if kvstore and 'dist' in kvstore.type and '_sync' in kvstore.type:
batch_size *= kvstore.num_workers
rescale_grad = 1.0/batch_size
idx2name = {}
if update_on_kvstore:
idx2name.update(enumerate(self._exec_group.param_names))
else:
for k in range(len(self._context)):
idx2name.update({i*len(self._context)+k: n
for i, n in enumerate(self._exec_group.param_names)})
if isinstance(optimizer, str):
optimizer_params = dict(optimizer_params)
if 'rescale_grad' not in optimizer_params:
optimizer_params['rescale_grad'] = rescale_grad
optimizer = opt.create(optimizer,
sym=self.symbol, param_idx2name=idx2name,
**optimizer_params)
else:
assert isinstance(optimizer, opt.Optimizer)
if optimizer.rescale_grad != rescale_grad:
#pylint: disable=no-member
warnings.warn(
"Optimizer created manually outside Module but rescale_grad " +
"is not normalized to 1.0/batch_size/num_workers (%s vs. %s). "%(
optimizer.rescale_grad, rescale_grad) +
"Is this intended?", stacklevel=2)
if not optimizer.idx2name:
optimizer.idx2name = idx2name.copy()
self._optimizer = optimizer
self._kvstore = kvstore
self._update_on_kvstore = update_on_kvstore
self._updater = None
if kvstore:
if self._compression_params:
kvstore.set_gradient_compression(self._compression_params)
if update_on_kvstore:
kvstore.set_optimizer(self._optimizer)
# copy initialized local parameters to kvstore
_initialize_kvstore(kvstore=kvstore,
param_arrays=self._exec_group.param_arrays,
arg_params=self._arg_params,
param_names=self._param_names,
update_on_kvstore=update_on_kvstore)
if not update_on_kvstore:
self._updater = opt.get_updater(optimizer)
self.optimizer_initialized = True
if self._preload_opt_states is not None:
self.load_optimizer_states(self._preload_opt_states)
self._preload_opt_states = None
|
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] |
Installs and initializes optimizers.
Parameters
----------
kvstore : str or KVStore
Default `'local'`.
optimizer : str or Optimizer
Default `'sgd'`
optimizer_params : dict
Default `(('learning_rate', 0.01),)`. The default value is not a dictionary,
just to avoid pylint warning of dangerous default values.
force_init : bool
Default ``False``, indicating whether we should force re-initializing the
optimizer in the case an optimizer is already installed.
|
[
"Installs",
"and",
"initializes",
"optimizers",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/module.py#L474-L558
|
train
|
Installs and initializes the optimizers.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(796 - 748) + '\x6f' + '\062' + chr(0b101001 + 0o16) + chr(0b110100 + 0o2), 0o10), ehT0Px3KOsy9(chr(2292 - 2244) + '\157' + '\x34' + chr(1913 - 1862), 35640 - 35632), ehT0Px3KOsy9('\x30' + '\157' + chr(2220 - 2171) + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001 + 0o1) + chr(0b110100) + '\x32', 0o10), ehT0Px3KOsy9(chr(424 - 376) + '\157' + chr(51) + chr(0b110001) + chr(0b10110 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(0b110001) + chr(0b0 + 0o66) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(55) + '\065', 25928 - 25920), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11110 + 0o24) + '\x37' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(552 - 504) + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(995 - 946) + chr(55), 8), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1000001 + 0o56) + chr(50) + chr(0b110100 + 0o1) + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(6937 - 6826) + chr(0b110001) + chr(1918 - 1863) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(1695 - 1584) + chr(2343 - 2293) + chr(51) + chr(2004 - 1949), 41949 - 41941), ehT0Px3KOsy9(chr(0b110000) + chr(8364 - 8253) + chr(0b101000 + 0o12) + chr(0b110100) + chr(832 - 782), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b110110) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\061' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + '\065' + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000110 + 0o51) + chr(0b11110 + 0o25) + chr(49) + chr(0b110100), 17596 - 17588), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b10000 + 0o47) + chr(0b110100), 51753 - 51745), ehT0Px3KOsy9(chr(48) + chr(111) + '\066' + chr(0b110110 + 0o0), 17894 - 17886), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(48) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1011 + 0o50) + chr(2283 - 2232) + chr(0b101010 + 0o12), 2399 - 2391), ehT0Px3KOsy9('\060' + chr(111) + chr(278 - 226) + chr(49), 46675 - 46667), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\061' + chr(0b10011 + 0o43), 15702 - 15694), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\x35' + chr(2381 - 2330), ord("\x08")), ehT0Px3KOsy9(chr(302 - 254) + chr(0b1000100 + 0o53) + chr(51) + chr(2103 - 2048), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + '\062' + '\065' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(2401 - 2350) + chr(0b110010) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(404 - 356) + chr(111) + '\061' + chr(0b110000) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(1613 - 1502) + chr(0b110011) + chr(905 - 856) + chr(0b11000 + 0o32), 40753 - 40745), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\x35' + chr(862 - 810), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(513 - 462) + '\x37' + '\067', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\x34' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(6549 - 6438) + '\x31' + '\x32' + chr(728 - 679), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + '\x32' + '\x30' + '\066', 8), ehT0Px3KOsy9(chr(48) + chr(12049 - 11938) + chr(2880 - 2825) + '\x31', 48744 - 48736), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + chr(50) + chr(53) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\065' + '\065', 13223 - 13215), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(741 - 687) + chr(0b110011), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(139 - 91) + chr(111) + '\x35' + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x90'), chr(0b100110 + 0o76) + chr(101) + chr(9017 - 8918) + '\157' + chr(8428 - 8328) + chr(101))('\165' + chr(0b1110100) + '\146' + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def NgIRBuRkFExj(oVre8I6UXc3b, Dlwsb3sX_cE9=xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2Li\xc3\xa3'), chr(100) + chr(0b1100101) + '\143' + chr(0b1101111) + '\144' + '\x65')(chr(117) + '\164' + chr(0b100100 + 0o102) + chr(0b10001 + 0o34) + '\070'), XdKNcYRObPK3=xafqLlk3kkUe(SXOLrMavuUCe(b'\xcdDn'), chr(100) + '\x65' + chr(99) + chr(0b100001 + 0o116) + chr(0b1000110 + 0o36) + '\145')(chr(117) + chr(2005 - 1889) + chr(102) + chr(0b101101) + chr(0b111000)), Jc4PFUw40SRS=((xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2Fk\xd0\xa1\x19S\xd8\xdco\xae\xd8\x19'), chr(0b1101 + 0o127) + chr(6312 - 6211) + chr(0b1011000 + 0o13) + chr(11467 - 11356) + chr(0b1100100) + chr(101))(chr(117) + '\164' + chr(0b1100110) + chr(974 - 929) + chr(0b111000)), 0.01),), WLhLFaYh5g6M=ehT0Px3KOsy9('\060' + chr(11551 - 11440) + chr(1594 - 1546), ord("\x08"))):
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8vY\xd3\x83\x06\x08\xfc\xce,\x98\xdc'), chr(4114 - 4014) + chr(0b1100101) + chr(0b1100011) + chr(9555 - 9444) + '\x64' + chr(101))(chr(117) + chr(2949 - 2833) + '\x66' + chr(0b100101 + 0o10) + chr(0b111000))) and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\x1bp\xd8\xbf!u\xfa\xb7R\xb5\xc1'), '\x64' + '\145' + chr(99) + chr(3570 - 3459) + chr(100) + '\x65')(chr(0b110111 + 0o76) + chr(116) + '\146' + chr(351 - 306) + chr(2217 - 2161)))
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xddW|\x94\x8dI\x7f\x8a\xcb*\xf6\xc1'), chr(100) + chr(6354 - 6253) + chr(99) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b111101 + 0o51) + chr(1011 - 966) + chr(312 - 256))) and (not WLhLFaYh5g6M):
xafqLlk3kkUe(oVre8I6UXc3b.logger, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9Bx\xcc\xa6\x1eZ'), '\144' + '\145' + '\x63' + chr(0b1000100 + 0o53) + '\144' + chr(0b10010 + 0o123))(chr(117) + chr(0b1110100) + chr(102) + '\055' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1S~\xcb\xa2\x19G\xda\xf1=\xae\xc0\x0e\xfa\xc3\x97\xf6\x0e\xa5\xd2_\xf2\xb5@\xa2\x02e\xcd\xb1h\xea\x85\x98\x0e>\xf4P\xc7\xca]\x90\r'), chr(100) + chr(0b1100101) + chr(0b1100011) + '\157' + '\144' + chr(101))(chr(5978 - 5861) + chr(0b1110100) + chr(0b1011011 + 0o13) + chr(0b11111 + 0o16) + chr(56)))
return
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0oc\xf3\x9e(R\xee\xcd.\x9f\xef'), chr(100) + chr(0b1100101) + chr(2596 - 2497) + chr(0b1101111) + chr(6277 - 6177) + chr(6436 - 6335))(chr(4991 - 4874) + chr(116) + '\x66' + chr(45) + chr(0b1100 + 0o54))):
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1Ps\xcc\xac/M\xde\xf1|\xa2\xdf#\xf9\xd0\x9c\xe2q\xa8\xd9@\xef\xbfD\xbd'), chr(0b1010100 + 0o20) + chr(2417 - 2316) + chr(5189 - 5090) + chr(4834 - 4723) + chr(100) + chr(0b1100101))(chr(0b10111 + 0o136) + '\164' + chr(7281 - 7179) + '\x2d' + chr(56)))()
(Dlwsb3sX_cE9, nvCDOV9Kw0Jr) = ZNmqNxQ78i5a(Dlwsb3sX_cE9, c2A0yzQpDQB3(oVre8I6UXc3b._context), oVre8I6UXc3b.lfFets4_IScP)
ix9dZyeAmUxY = oVre8I6UXc3b._exec_group.ix9dZyeAmUxY
if Dlwsb3sX_cE9 and xafqLlk3kkUe(SXOLrMavuUCe(b'\xdaJy\xd6'), '\x64' + '\x65' + chr(99) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(117) + chr(11445 - 11329) + chr(726 - 624) + chr(0b101101 + 0o0) + chr(0b111000)) in xafqLlk3kkUe(Dlwsb3sX_cE9, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9N[\xcf\xb6\x15j\xfd\xeeH\xbf\xda'), chr(0b1100100) + chr(653 - 552) + '\143' + chr(0b1101111) + chr(1176 - 1076) + '\145')('\165' + chr(116) + chr(0b1100110) + chr(1958 - 1913) + '\070')) and (xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1Ps\xcc\xac'), chr(100) + '\x65' + '\143' + chr(111) + chr(8754 - 8654) + chr(0b101100 + 0o71))('\x75' + '\x74' + chr(0b1100110) + chr(88 - 43) + chr(0b111000)) in xafqLlk3kkUe(Dlwsb3sX_cE9, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9N[\xcf\xb6\x15j\xfd\xeeH\xbf\xda'), '\144' + '\145' + chr(0b1100011) + chr(0b1101111) + chr(0b1001100 + 0o30) + chr(0b110111 + 0o56))(chr(117) + chr(116) + chr(4763 - 4661) + chr(0b1 + 0o54) + chr(0b110101 + 0o3)))):
ix9dZyeAmUxY *= Dlwsb3sX_cE9.c1aWEsj_NmYg
YSz6oP1ujznD = 1.0 / ix9dZyeAmUxY
yTm37EBxfhO6 = {}
if nvCDOV9Kw0Jr:
xafqLlk3kkUe(yTm37EBxfhO6, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4WK\xe7\xa6>w\xd1\xfa)\xaa\x9c'), '\144' + '\x65' + '\x63' + chr(5854 - 5743) + '\144' + chr(2592 - 2491))(chr(117) + chr(0b1110100) + chr(102) + '\x2d' + chr(0b111000 + 0o0)))(YlkZvXL8qwsX(xafqLlk3kkUe(oVre8I6UXc3b._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'\xceBx\xc3\xa2/S\xde\xeex\xbc'), '\144' + chr(6091 - 5990) + '\x63' + chr(0b1101111) + '\144' + '\145')(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(1117 - 1072) + chr(56)))))
else:
for OolUPRJhRaJd in vQr8gNKaIaWE(c2A0yzQpDQB3(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1@e\xcc\xbb\x15E\xcb'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(160 - 49) + chr(100) + chr(101))(chr(0b1011011 + 0o32) + chr(0b1110100) + chr(5383 - 5281) + chr(908 - 863) + chr(1213 - 1157))))):
xafqLlk3kkUe(yTm37EBxfhO6, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4WK\xe7\xa6>w\xd1\xfa)\xaa\x9c'), '\x64' + chr(4501 - 4400) + chr(0b1100011) + chr(111) + '\x64' + '\x65')('\165' + chr(0b1011101 + 0o27) + '\x66' + chr(45) + chr(362 - 306)))({WVxHKyX45z_L * c2A0yzQpDQB3(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1@e\xcc\xbb\x15E\xcb'), '\x64' + chr(0b10000 + 0o125) + '\143' + chr(111) + chr(0b11101 + 0o107) + chr(3343 - 3242))('\x75' + chr(550 - 434) + chr(9683 - 9581) + chr(0b10001 + 0o34) + chr(0b11000 + 0o40)))) + OolUPRJhRaJd: m1NkCryOw9Bx for (WVxHKyX45z_L, m1NkCryOw9Bx) in YlkZvXL8qwsX(xafqLlk3kkUe(oVre8I6UXc3b._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'\xceBx\xc3\xa2/S\xde\xeex\xbc'), '\144' + chr(0b1011010 + 0o13) + chr(3750 - 3651) + chr(111) + chr(0b1100100) + chr(101))(chr(4583 - 4466) + chr(0b1000101 + 0o57) + chr(102) + chr(0b101101) + chr(0b1010 + 0o56))))})
if PlSM16l2KDPD(XdKNcYRObPK3, M8_cKLkHVB2V):
Jc4PFUw40SRS = wLqBDw8l0eIm(Jc4PFUw40SRS)
if xafqLlk3kkUe(SXOLrMavuUCe(b'\xccFy\xc1\xae\x1cX\xe0\xe4o\xae\xc8'), chr(0b10101 + 0o117) + chr(101) + chr(9155 - 9056) + chr(0b1000100 + 0o53) + chr(0b1010 + 0o132) + chr(10139 - 10038))(chr(0b1110101) + chr(0b1000011 + 0o61) + chr(0b1000 + 0o136) + chr(1913 - 1868) + chr(2977 - 2921)) not in Jc4PFUw40SRS:
Jc4PFUw40SRS[xafqLlk3kkUe(SXOLrMavuUCe(b'\xccFy\xc1\xae\x1cX\xe0\xe4o\xae\xc8'), chr(3787 - 3687) + '\145' + '\143' + chr(1437 - 1326) + chr(0b1100100) + '\145')(chr(7192 - 7075) + '\164' + chr(0b1010111 + 0o17) + '\x2d' + '\x38')] = YSz6oP1ujznD
XdKNcYRObPK3 = PFDxXM_vbSsA.zXm8hKpI6bmL(XdKNcYRObPK3, sym=oVre8I6UXc3b.symbol, param_idx2name=yTm37EBxfhO6, **Jc4PFUw40SRS)
else:
assert PlSM16l2KDPD(XdKNcYRObPK3, xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1S~\xcb\xa2\x19G\xda\xf1'), chr(0b1100100) + chr(5218 - 5117) + '\x63' + chr(0b1101111) + chr(0b1001011 + 0o31) + chr(0b1100101))(chr(13116 - 12999) + chr(0b1110100) + chr(102) + chr(1888 - 1843) + chr(571 - 515))))
if xafqLlk3kkUe(XdKNcYRObPK3, xafqLlk3kkUe(SXOLrMavuUCe(b'\xccFy\xc1\xae\x1cX\xe0\xe4o\xae\xc8'), '\x64' + chr(0b1011110 + 0o7) + chr(0b110110 + 0o55) + chr(0b1101111) + '\144' + '\145')('\165' + '\x74' + chr(1430 - 1328) + chr(250 - 205) + chr(0b101111 + 0o11))) != YSz6oP1ujznD:
xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0gO\xcc\x812\\\xdd\xc5S\x84\xc1'), chr(100) + '\x65' + '\143' + chr(4715 - 4604) + '\x64' + chr(3115 - 3014))(chr(117) + chr(0b1110100) + '\146' + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1S~\xcb\xa2\x19G\xda\xf1=\xac\xde\x19\xfe\xd6\x96\xeb\x0e\xa1\xddX\xf3\xbdM\xa2\x12?\xc7\xa00\xb9\x85\x9b\x05q\xcbV\xcd\xd8\x1f\xdb\x03h\xd7\xbbPO\xda\xf0~\xae\xc0\x19\xc0\xc5\x81\xeeJ\xec'), '\144' + chr(0b10110 + 0o117) + '\143' + chr(0b1101111) + chr(100) + chr(4267 - 4166))(chr(0b1110101) + '\x74' + '\146' + '\x2d' + '\x38') + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7P*\xcc\xa0\x04\x1d\xd1\xeco\xa2\xcd\x10\xf6\xd8\x96\xeb\x0e\xb8\xd3\x16\xb7\xf2\x11\xe1\t~\xdc\xb6,\x95\x9f\x96\x1a4\xa9W\xdc\xc0,\xc9Lx\xc9\xaa\x02N\x9f\xab8\xbc\x8c\n\xec\x8c\xd3\xaa]\xe5\x92\x16'), chr(0b100100 + 0o100) + chr(0b1100101) + chr(2762 - 2663) + chr(0b1101111) + '\144' + chr(0b1100101))('\x75' + chr(0b1110100) + '\x66' + chr(45) + chr(0b10101 + 0o43)) % (xafqLlk3kkUe(XdKNcYRObPK3, xafqLlk3kkUe(SXOLrMavuUCe(b'\xccFy\xc1\xae\x1cX\xe0\xe4o\xae\xc8'), chr(0b1100100) + chr(0b1011001 + 0o14) + '\x63' + chr(9119 - 9008) + chr(0b1100100) + '\x65')(chr(117) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(2525 - 2469))), YSz6oP1ujznD) + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7P*\xd6\xa7\x19N\x9f\xeas\xbb\xc9\x12\xfb\xc7\x97\xb0'), chr(7093 - 6993) + chr(8141 - 8040) + chr(0b1100011) + chr(0b1101111) + chr(0b11011 + 0o111) + '\x65')('\x75' + chr(5984 - 5868) + '\146' + '\x2d' + '\x38'), stacklevel=ehT0Px3KOsy9('\060' + chr(0b11101 + 0o122) + '\x32', ord("\x08")))
if not xafqLlk3kkUe(XdKNcYRObPK3, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7Gr\x90\xa1\x11P\xda'), chr(7912 - 7812) + chr(0b100100 + 0o101) + chr(0b1100011) + chr(0b1001100 + 0o43) + chr(100) + '\x65')(chr(117) + chr(8623 - 8507) + chr(0b0 + 0o146) + chr(45) + chr(2378 - 2322))):
XdKNcYRObPK3.yTm37EBxfhO6 = yTm37EBxfhO6.igThHS4jwVsa()
oVre8I6UXc3b.ufAYsL1jlOfD = XdKNcYRObPK3
oVre8I6UXc3b.yBS56fl0eaav = Dlwsb3sX_cE9
oVre8I6UXc3b.NQV1AOMKh7rj = nvCDOV9Kw0Jr
oVre8I6UXc3b.C4IJTFcX0rB9 = None
if Dlwsb3sX_cE9:
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1@e\xcf\xbf\x02X\xcc\xf0t\xa0\xc2#\xef\xc3\x81\xeeC\xbf'), chr(6080 - 5980) + chr(0b1100101) + chr(99) + chr(2557 - 2446) + chr(0b10100 + 0o120) + chr(0b1100101))(chr(117) + chr(775 - 659) + '\146' + '\x2d' + '\070')):
xafqLlk3kkUe(Dlwsb3sX_cE9, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcdF~\xfd\xa8\x02\\\xdb\xeax\xa1\xd8#\xfc\xcd\x9e\xff\\\xa9\xcfE\xef\xb3O'), chr(1167 - 1067) + chr(8875 - 8774) + chr(0b1100011) + chr(111) + chr(2680 - 2580) + chr(101))(chr(0b100111 + 0o116) + '\x74' + chr(4445 - 4343) + chr(0b101101) + '\x38'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1@e\xcf\xbf\x02X\xcc\xf0t\xa0\xc2#\xef\xc3\x81\xeeC\xbf'), '\x64' + chr(8734 - 8633) + chr(776 - 677) + '\157' + chr(0b1001100 + 0o30) + chr(5466 - 5365))(chr(117) + '\x74' + '\146' + '\x2d' + chr(0b111000))))
if nvCDOV9Kw0Jr:
xafqLlk3kkUe(Dlwsb3sX_cE9, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcdF~\xfd\xa0\x00I\xd6\xeet\xb5\xc9\x0e'), chr(100) + chr(101) + chr(0b10000 + 0o123) + chr(0b1101111) + chr(0b1100100) + chr(0b1000100 + 0o41))(chr(117) + chr(116) + '\146' + '\x2d' + chr(0b1100 + 0o54)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcbEK\xfb\xbc<\x0c\xd5\xefR\xa9\xe8'), '\144' + chr(0b1101 + 0o130) + chr(4814 - 4715) + chr(0b1101111) + '\144' + '\x65')('\x75' + chr(116) + chr(0b1100110) + chr(0b101101) + '\070')))
F9gDUkmgBvxp(kvstore=Dlwsb3sX_cE9, param_arrays=xafqLlk3kkUe(oVre8I6UXc3b._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7e`\x92\xb7\x15u\xfc\xe2Z\xbd\xe3'), '\144' + '\x65' + chr(1011 - 912) + chr(111) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(116) + '\x66' + chr(0b101101) + '\070')), arg_params=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2EL\xc7\xbb\x03\t\xe0\xcaN\xac\xfc'), chr(0b1 + 0o143) + '\x65' + chr(4582 - 4483) + chr(0b1101111) + '\144' + '\145')(chr(0b1110101) + chr(8811 - 8695) + '\146' + chr(45) + chr(2237 - 2181))), param_names=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1Sk\xd0\xae\x1db\xd1\xe2p\xaa\xdf'), chr(5997 - 5897) + chr(101) + chr(0b1100011) + chr(891 - 780) + chr(100) + chr(0b1100101))('\165' + '\164' + '\x66' + '\x2d' + '\070')), update_on_kvstore=nvCDOV9Kw0Jr)
if not nvCDOV9Kw0Jr:
oVre8I6UXc3b.C4IJTFcX0rB9 = PFDxXM_vbSsA.get_updater(XdKNcYRObPK3)
oVre8I6UXc3b.ctv6B9B5H79m = ehT0Px3KOsy9('\060' + chr(0b1010000 + 0o37) + '\061', 50263 - 50255)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\x16_\xc7\xa7\x13\x08\xdc\xd2%\x9a\x95'), chr(0b1001000 + 0o34) + '\x65' + chr(828 - 729) + '\x6f' + '\144' + chr(0b1100101))(chr(0b1010 + 0o153) + chr(6886 - 6770) + '\x66' + chr(45) + chr(0b0 + 0o70))) is not None:
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2Lk\xc6\x90\x1fM\xcb\xeap\xa6\xd6\x19\xed\xfd\x80\xfbO\xb8\xd9E'), chr(0b1010010 + 0o22) + chr(0b100110 + 0o77) + chr(4142 - 4043) + chr(0b1010001 + 0o36) + '\144' + chr(0b1100101))('\165' + chr(116) + chr(0b100000 + 0o106) + chr(1744 - 1699) + chr(0b110110 + 0o2)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\x16_\xc7\xa7\x13\x08\xdc\xd2%\x9a\x95'), chr(0b1100100) + chr(0b1100101) + '\x63' + '\x6f' + chr(3777 - 3677) + chr(0b1010101 + 0o20))(chr(0b1110101) + '\164' + '\146' + '\x2d' + chr(0b111000))))
oVre8I6UXc3b.T5Uehc5cQ8U9 = None
|
apache/incubator-mxnet
|
python/mxnet/module/module.py
|
Module.borrow_optimizer
|
def borrow_optimizer(self, shared_module):
"""Borrows optimizer from a shared module. Used in bucketing, where exactly the same
optimizer (esp. kvstore) is used.
Parameters
----------
shared_module : Module
"""
assert shared_module.optimizer_initialized
self._optimizer = shared_module._optimizer
self._kvstore = shared_module._kvstore
self._update_on_kvstore = shared_module._update_on_kvstore
self._updater = shared_module._updater
self.optimizer_initialized = True
|
python
|
def borrow_optimizer(self, shared_module):
"""Borrows optimizer from a shared module. Used in bucketing, where exactly the same
optimizer (esp. kvstore) is used.
Parameters
----------
shared_module : Module
"""
assert shared_module.optimizer_initialized
self._optimizer = shared_module._optimizer
self._kvstore = shared_module._kvstore
self._update_on_kvstore = shared_module._update_on_kvstore
self._updater = shared_module._updater
self.optimizer_initialized = True
|
[
"def",
"borrow_optimizer",
"(",
"self",
",",
"shared_module",
")",
":",
"assert",
"shared_module",
".",
"optimizer_initialized",
"self",
".",
"_optimizer",
"=",
"shared_module",
".",
"_optimizer",
"self",
".",
"_kvstore",
"=",
"shared_module",
".",
"_kvstore",
"self",
".",
"_update_on_kvstore",
"=",
"shared_module",
".",
"_update_on_kvstore",
"self",
".",
"_updater",
"=",
"shared_module",
".",
"_updater",
"self",
".",
"optimizer_initialized",
"=",
"True"
] |
Borrows optimizer from a shared module. Used in bucketing, where exactly the same
optimizer (esp. kvstore) is used.
Parameters
----------
shared_module : Module
|
[
"Borrows",
"optimizer",
"from",
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".",
"Used",
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"bucketing",
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/module.py#L560-L573
|
train
|
Borrows an optimizer from a shared module.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(629 - 580) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\062' + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(922 - 873) + '\x34' + chr(0b110011), 5657 - 5649), ehT0Px3KOsy9(chr(1706 - 1658) + chr(111) + '\x32' + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\x37' + '\x37', 20829 - 20821), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + '\x33' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b11100 + 0o26) + chr(0b110100), 8), ehT0Px3KOsy9(chr(230 - 182) + chr(111) + chr(49) + chr(974 - 919) + chr(52), 0o10), ehT0Px3KOsy9(chr(2165 - 2117) + '\x6f' + chr(0b10011 + 0o40) + chr(0b101100 + 0o10) + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(7388 - 7277) + chr(0b1111 + 0o44) + '\x37' + chr(245 - 190), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b110111) + '\x30', 0b1000), ehT0Px3KOsy9(chr(1490 - 1442) + chr(8274 - 8163) + chr(1425 - 1376) + '\x35' + chr(2385 - 2332), 20714 - 20706), ehT0Px3KOsy9('\x30' + chr(0b1100000 + 0o17) + chr(0b110010) + '\x33' + chr(0b101101 + 0o6), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b111110 + 0o61) + chr(51) + '\067' + '\060', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(1994 - 1945) + chr(0b110010) + '\061', 0o10), ehT0Px3KOsy9(chr(1899 - 1851) + '\157' + chr(0b110001) + chr(0b110001) + chr(48), 51372 - 51364), ehT0Px3KOsy9('\x30' + '\x6f' + chr(257 - 207) + '\x33' + '\x30', 0b1000), ehT0Px3KOsy9(chr(1984 - 1936) + chr(841 - 730) + '\x32' + '\x32' + chr(0b10111 + 0o37), 0b1000), ehT0Px3KOsy9(chr(1733 - 1685) + chr(111) + chr(51) + '\063' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(1952 - 1904) + '\157' + '\063', 43922 - 43914), ehT0Px3KOsy9(chr(2103 - 2055) + '\x6f' + '\x33' + chr(645 - 590) + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(0b110110) + chr(1208 - 1159), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + '\061' + '\066' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(1765 - 1716) + chr(50) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b101001 + 0o106) + chr(0b100011 + 0o20) + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1412 - 1361) + chr(50) + chr(2043 - 1992), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100 + 0o153) + '\063' + chr(0b110000) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1369 - 1321) + '\x6f' + chr(1579 - 1527) + chr(0b100001 + 0o26), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(49) + '\x36' + chr(0b110011), 8), ehT0Px3KOsy9(chr(1848 - 1800) + chr(111) + chr(0b110001) + chr(0b110000) + chr(0b0 + 0o65), 50403 - 50395), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2179 - 2129) + chr(485 - 436) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(1401 - 1353) + chr(0b10001 + 0o136) + chr(51) + chr(327 - 279) + chr(51), 0b1000), ehT0Px3KOsy9(chr(1518 - 1470) + '\157' + chr(0b110001) + '\067' + '\x32', 0b1000), ehT0Px3KOsy9(chr(1799 - 1751) + chr(0b101100 + 0o103) + chr(0b110011) + '\x32' + chr(55), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\064' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\x30' + chr(1153 - 1102), ord("\x08")), ehT0Px3KOsy9('\060' + chr(12111 - 12000) + '\x32' + chr(0b110001 + 0o0) + chr(0b100100 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\067' + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110001 + 0o76) + chr(1154 - 1102), 14034 - 14026), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2527 - 2476) + chr(0b10010 + 0o40) + '\x35', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + chr(0b110101) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4'), chr(0b1100100) + '\145' + chr(99) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(1126 - 1009) + chr(0b1110100) + '\x66' + chr(0b101010 + 0o3) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def w1sUubCta2yN(oVre8I6UXc3b, BWJ3OwfvHl8n):
assert xafqLlk3kkUe(BWJ3OwfvHl8n, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\xe4\x15"=\xe5VI\xa8\xc8\xc1\x00'), chr(4670 - 4570) + chr(4193 - 4092) + chr(99) + chr(10038 - 9927) + chr(100) + chr(0b100111 + 0o76))('\x75' + '\x74' + chr(102) + '\x2d' + '\070'))
oVre8I6UXc3b.ufAYsL1jlOfD = BWJ3OwfvHl8n.ufAYsL1jlOfD
oVre8I6UXc3b.yBS56fl0eaav = BWJ3OwfvHl8n.yBS56fl0eaav
oVre8I6UXc3b.NQV1AOMKh7rj = BWJ3OwfvHl8n.NQV1AOMKh7rj
oVre8I6UXc3b.C4IJTFcX0rB9 = BWJ3OwfvHl8n.C4IJTFcX0rB9
oVre8I6UXc3b.ctv6B9B5H79m = ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061', ord("\x08"))
|
apache/incubator-mxnet
|
python/mxnet/module/module.py
|
Module.forward
|
def forward(self, data_batch, is_train=None):
"""Forward computation. It supports data batches with different shapes, such as
different batch sizes or different image sizes.
If reshaping of data batch relates to modification of symbol or module, such as
changing image layout ordering or switching from training to predicting, module
rebinding is required.
See Also
----------
:meth:`BaseModule.forward`.
Parameters
----------
data_batch : DataBatch
Could be anything with similar API implemented.
is_train : bool
Default is ``None``, which means ``is_train`` takes the value of ``self.for_training``.
"""
assert self.binded and self.params_initialized
curr_data_shapes = tuple(i.shape for i in self._data_shapes)
if isinstance(data_batch, list):
assert data_batch is not None, "Encountered empty data batch"
new_data_shapes = []
for i in range(len(data_batch[0].data)):
shape = data_batch[0].data[i].shape
for db in data_batch:
assert shape == db.data[i].shape, \
"All data batches in a list need to have the same shape"
new_batch_size = len(data_batch) * shape[0]
new_data_shapes.append((new_batch_size,) + shape[1:])
new_data_shapes = tuple(new_data_shapes)
else:
new_data_shapes = tuple(i.shape for i in data_batch.data)
if curr_data_shapes != new_data_shapes:
if hasattr(data_batch, "provide_data") and data_batch.provide_data:
new_dshape = data_batch.provide_data
else:
new_dshape = [DataDesc(i.name, shape, i.dtype, i.layout) \
for i, shape in zip(self._data_shapes, new_data_shapes)]
if hasattr(data_batch, "provide_label") and data_batch.provide_label:
new_lshape = data_batch.provide_label
elif hasattr(data_batch, "label") and data_batch.label:
new_lshape = [DataDesc(i.name, j.shape, i.dtype, i.layout) \
for i, j in zip(self._label_shapes, data_batch.label)]
else:
new_lshape = None
self.reshape(new_dshape, new_lshape)
self._exec_group.forward(data_batch, is_train)
|
python
|
def forward(self, data_batch, is_train=None):
"""Forward computation. It supports data batches with different shapes, such as
different batch sizes or different image sizes.
If reshaping of data batch relates to modification of symbol or module, such as
changing image layout ordering or switching from training to predicting, module
rebinding is required.
See Also
----------
:meth:`BaseModule.forward`.
Parameters
----------
data_batch : DataBatch
Could be anything with similar API implemented.
is_train : bool
Default is ``None``, which means ``is_train`` takes the value of ``self.for_training``.
"""
assert self.binded and self.params_initialized
curr_data_shapes = tuple(i.shape for i in self._data_shapes)
if isinstance(data_batch, list):
assert data_batch is not None, "Encountered empty data batch"
new_data_shapes = []
for i in range(len(data_batch[0].data)):
shape = data_batch[0].data[i].shape
for db in data_batch:
assert shape == db.data[i].shape, \
"All data batches in a list need to have the same shape"
new_batch_size = len(data_batch) * shape[0]
new_data_shapes.append((new_batch_size,) + shape[1:])
new_data_shapes = tuple(new_data_shapes)
else:
new_data_shapes = tuple(i.shape for i in data_batch.data)
if curr_data_shapes != new_data_shapes:
if hasattr(data_batch, "provide_data") and data_batch.provide_data:
new_dshape = data_batch.provide_data
else:
new_dshape = [DataDesc(i.name, shape, i.dtype, i.layout) \
for i, shape in zip(self._data_shapes, new_data_shapes)]
if hasattr(data_batch, "provide_label") and data_batch.provide_label:
new_lshape = data_batch.provide_label
elif hasattr(data_batch, "label") and data_batch.label:
new_lshape = [DataDesc(i.name, j.shape, i.dtype, i.layout) \
for i, j in zip(self._label_shapes, data_batch.label)]
else:
new_lshape = None
self.reshape(new_dshape, new_lshape)
self._exec_group.forward(data_batch, is_train)
|
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] |
Forward computation. It supports data batches with different shapes, such as
different batch sizes or different image sizes.
If reshaping of data batch relates to modification of symbol or module, such as
changing image layout ordering or switching from training to predicting, module
rebinding is required.
See Also
----------
:meth:`BaseModule.forward`.
Parameters
----------
data_batch : DataBatch
Could be anything with similar API implemented.
is_train : bool
Default is ``None``, which means ``is_train`` takes the value of ``self.for_training``.
|
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"batch",
"relates",
"to",
"modification",
"of",
"symbol",
"or",
"module",
"such",
"as",
"changing",
"image",
"layout",
"ordering",
"or",
"switching",
"from",
"training",
"to",
"predicting",
"module",
"rebinding",
"is",
"required",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/module.py#L575-L627
|
train
|
Forward computation. It supports data batches with different shapes such as different shape of data and different image sizes.
|
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(1175 - 1127) + chr(0b1101111) + chr(1375 - 1326) + '\x30' + chr(0b110011), 56574 - 56566), ehT0Px3KOsy9(chr(2140 - 2092) + '\157' + chr(422 - 367) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(52) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110111) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1233 - 1183) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(50) + chr(1509 - 1459), 49774 - 49766), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(2254 - 2204) + chr(0b1001 + 0o52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1658 - 1607) + chr(0b110011) + chr(0b10100 + 0o42), ord("\x08")), ehT0Px3KOsy9(chr(377 - 329) + chr(0b0 + 0o157) + chr(0b101100 + 0o6) + '\x32' + chr(2013 - 1960), 48525 - 48517), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(52) + '\x30', 25855 - 25847), ehT0Px3KOsy9(chr(48) + chr(6147 - 6036) + chr(0b101 + 0o55) + chr(0b110111) + chr(1728 - 1677), 0o10), ehT0Px3KOsy9(chr(655 - 607) + chr(111) + chr(64 - 15) + chr(54) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101101 + 0o5) + chr(0b110010) + '\x30', 6295 - 6287), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101000 + 0o12) + '\066' + chr(52), 56553 - 56545), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + '\x33' + chr(0b10010 + 0o45), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(3332 - 3221) + chr(0b101011 + 0o10) + chr(0b110001) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b100 + 0o56) + chr(0b110111) + chr(771 - 717), 0b1000), ehT0Px3KOsy9(chr(563 - 515) + '\157' + chr(989 - 937) + '\065', 0b1000), ehT0Px3KOsy9(chr(2002 - 1954) + chr(10531 - 10420) + chr(51) + chr(0b110000 + 0o6) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(687 - 636), 0o10), ehT0Px3KOsy9(chr(1601 - 1553) + chr(0b1100011 + 0o14) + chr(0b110011) + '\062', 53677 - 53669), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b11 + 0o60) + chr(355 - 303), 5917 - 5909), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(1169 - 1115) + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1821 - 1771) + chr(0b100001 + 0o22) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b100111 + 0o110) + chr(50) + '\x34' + chr(1459 - 1410), 4844 - 4836), ehT0Px3KOsy9('\060' + '\157' + chr(0b10101 + 0o36) + chr(0b110101) + chr(0b10101 + 0o36), 38771 - 38763), ehT0Px3KOsy9(chr(48) + '\157' + chr(1052 - 1002) + chr(52) + '\x34', 0b1000), ehT0Px3KOsy9(chr(2171 - 2123) + chr(111) + chr(0b110001) + chr(634 - 586) + chr(0b110011), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111 + 0o0) + '\062' + chr(50) + chr(0b110010 + 0o1), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011), 958 - 950), ehT0Px3KOsy9(chr(48) + chr(0b1101110 + 0o1) + '\x34' + chr(0b110001), 22791 - 22783), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(387 - 336) + chr(0b101001 + 0o10), 11401 - 11393), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + '\x31' + chr(0b110001) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11296 - 11185) + chr(428 - 378) + chr(0b101100 + 0o7) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(4214 - 4103) + chr(0b100110 + 0o16) + '\066', 0b1000), ehT0Px3KOsy9(chr(2185 - 2137) + chr(4545 - 4434) + '\061' + '\x37' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + '\065' + chr(1368 - 1316), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101001 + 0o106) + chr(49) + chr(1052 - 1004) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(50) + chr(2349 - 2300), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(53) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'm'), chr(100) + chr(9331 - 9230) + '\143' + chr(111) + '\144' + chr(3537 - 3436))(chr(0b1110101) + chr(116) + chr(0b1000000 + 0o46) + chr(1481 - 1436) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GbbcCHUNFMj5(oVre8I6UXc3b, idr841wg0ysW, axnxdawmCuz_=None):
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'5k\xb6J]eg\xd0\x93\xa4w\xcb'), chr(100) + chr(6386 - 6285) + chr(99) + chr(0b1100110 + 0o11) + '\x64' + chr(0b1100101))(chr(117) + chr(0b1110001 + 0o3) + chr(102) + chr(45) + chr(1775 - 1719))) and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f\x06\x9fAaB\x1a\xd6\xea\xdaZ\xd6'), chr(0b1100100) + '\145' + chr(6303 - 6204) + chr(5722 - 5611) + chr(7693 - 7593) + chr(0b1100101))(chr(12876 - 12759) + '\x74' + chr(102) + chr(45) + '\070'))
trwllXEqEBEq = KNyTy8rYcwji((WVxHKyX45z_L.nauYfLglTpcb for WVxHKyX45z_L in oVre8I6UXc3b.qOSsFbxz_mJe))
if PlSM16l2KDPD(idr841wg0ysW, YyaZ4tpXu4lf):
assert idr841wg0ysW is not None, xafqLlk3kkUe(SXOLrMavuUCe(b'\x06P\x86Td}&\xf6\xac\xf0D\x9b\x15\xfd\xc4+\xb6\x9eA\x92\x7f{\xbc\x91\xff\xd5\x88\xcc'), chr(100) + chr(0b1100101) + chr(99) + chr(8230 - 8119) + chr(0b1100100) + chr(0b10 + 0o143))(chr(8585 - 8468) + chr(0b1100111 + 0o15) + '\x66' + chr(1904 - 1859) + chr(0b100 + 0o64))
vTkHR_8upB27 = []
for WVxHKyX45z_L in vQr8gNKaIaWE(c2A0yzQpDQB3(xafqLlk3kkUe(idr841wg0ysW[ehT0Px3KOsy9(chr(1466 - 1418) + chr(0b1101111) + '\060', 0b1000)], xafqLlk3kkUe(SXOLrMavuUCe(b'\x16r\x8bQa%\x16\xa5\xbb\xf3f\xf3'), chr(100) + chr(0b11 + 0o142) + '\143' + chr(111) + chr(100) + '\145')(chr(1927 - 1810) + chr(0b1110100 + 0o0) + '\x66' + chr(0b101101) + chr(56))))):
nauYfLglTpcb = idr841wg0ysW[ehT0Px3KOsy9(chr(1812 - 1764) + chr(0b1101111) + chr(0b100 + 0o54), 8)].data[WVxHKyX45z_L].nauYfLglTpcb
for fXTenaqZmXyd in idr841wg0ysW:
assert nauYfLglTpcb == xafqLlk3kkUe(fXTenaqZmXyd.data[WVxHKyX45z_L], xafqLlk3kkUe(SXOLrMavuUCe(b'-_\x90bw_5\xff\x8a\xe5C\xd9'), chr(0b1100100) + '\x65' + '\x63' + chr(3717 - 3606) + '\x64' + chr(101))(chr(11240 - 11123) + chr(0b1110100) + chr(102) + chr(0b100011 + 0o12) + '\070')), xafqLlk3kkUe(SXOLrMavuUCe(b"\x02R\x89\x1bur&\xf2\xfe\xf7A\xcf\x13\xf8\xd1,\xef\xd7K\xd3j:\xf0\x9a\xed\xd5\xcb\xca&\xf6g\x01\xad'\xbdN\x1e\x9a'\xf17V\x80\x1bbr?\xf6\xfe\xe6H\xda\x00\xf5"), '\x64' + '\x65' + chr(99) + chr(9418 - 9307) + '\144' + '\145')(chr(117) + chr(9872 - 9756) + '\146' + chr(0b0 + 0o55) + '\x38')
xAIFKd7SREVN = c2A0yzQpDQB3(idr841wg0ysW) * nauYfLglTpcb[ehT0Px3KOsy9(chr(1901 - 1853) + chr(4468 - 4357) + '\x30', 8)]
xafqLlk3kkUe(vTkHR_8upB27, xafqLlk3kkUe(SXOLrMavuUCe(b'"N\x95^\x7fw'), chr(5694 - 5594) + chr(0b100001 + 0o104) + '\x63' + chr(0b1010110 + 0o31) + '\x64' + '\145')(chr(0b11001 + 0o134) + chr(9878 - 9762) + chr(435 - 333) + chr(45) + chr(0b111000)))((xAIFKd7SREVN,) + nauYfLglTpcb[ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061', 61792 - 61784):])
vTkHR_8upB27 = KNyTy8rYcwji(vTkHR_8upB27)
else:
vTkHR_8upB27 = KNyTy8rYcwji((WVxHKyX45z_L.nauYfLglTpcb for WVxHKyX45z_L in idr841wg0ysW.ULnjp6D6efFH))
if trwllXEqEBEq != vTkHR_8upB27:
if lot1PSoAwYhj(idr841wg0ysW, xafqLlk3kkUe(SXOLrMavuUCe(b'3L\x8aMxw7\xcc\xba\xf4T\xda'), '\144' + chr(0b1100101) + chr(5399 - 5300) + chr(0b1101111) + chr(0b110 + 0o136) + '\x65')(chr(0b1110001 + 0o4) + chr(5962 - 5846) + chr(0b1100110) + chr(0b10111 + 0o26) + chr(56))) and xafqLlk3kkUe(idr841wg0ysW, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14a\xd1Qd\\8\xfe\x95\xecW\xe4'), chr(100) + chr(101) + chr(0b1001110 + 0o25) + chr(111) + chr(9629 - 9529) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(0b1001 + 0o135) + '\x2d' + chr(0b111000))):
N89JzWdgI6MP = idr841wg0ysW.W_4juOjmKyw_
else:
N89JzWdgI6MP = [QGNCb0u8kPLl(WVxHKyX45z_L.AIvJRzLdDfgF, nauYfLglTpcb, WVxHKyX45z_L.jSV9IKnemH7K, WVxHKyX45z_L.HDH7OEwZuDah) for (WVxHKyX45z_L, nauYfLglTpcb) in pZ0NK2y6HRbn(oVre8I6UXc3b.qOSsFbxz_mJe, vTkHR_8upB27)]
if lot1PSoAwYhj(idr841wg0ysW, xafqLlk3kkUe(SXOLrMavuUCe(b'3L\x8aMxw7\xcc\xb2\xf4B\xde\x1c'), chr(0b1010111 + 0o15) + '\x65' + chr(0b1100011) + chr(0b101011 + 0o104) + '\144' + chr(174 - 73))(chr(117) + chr(116) + '\146' + chr(0b11000 + 0o25) + '\x38')) and xafqLlk3kkUe(idr841wg0ysW, xafqLlk3kkUe(SXOLrMavuUCe(b'!R\xd5wsV:\xa0\xa8\xf4i\x8b'), chr(100) + chr(101) + chr(0b1100011) + chr(111) + chr(0b1100100) + '\145')('\x75' + '\x74' + '\x66' + chr(0b1000 + 0o45) + chr(0b101011 + 0o15))):
wqMSiQi2M9Nk = idr841wg0ysW.bl0LbEh3vaI0
elif lot1PSoAwYhj(idr841wg0ysW, xafqLlk3kkUe(SXOLrMavuUCe(b'/_\x87^}'), chr(0b1100100) + '\145' + '\x63' + '\x6f' + '\144' + '\145')('\165' + '\x74' + chr(0b1100110) + '\x2d' + '\070')) and xafqLlk3kkUe(idr841wg0ysW, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17l\xb0t]U\x1e\xe6\x9a\xa5\x18\xc3'), '\x64' + chr(2144 - 2043) + chr(0b1100011) + '\157' + chr(1283 - 1183) + chr(5437 - 5336))('\x75' + '\164' + chr(0b1100110) + chr(979 - 934) + chr(1969 - 1913))):
wqMSiQi2M9Nk = [QGNCb0u8kPLl(WVxHKyX45z_L.AIvJRzLdDfgF, tlORBuYsiw3X.nauYfLglTpcb, WVxHKyX45z_L.jSV9IKnemH7K, WVxHKyX45z_L.HDH7OEwZuDah) for (WVxHKyX45z_L, tlORBuYsiw3X) in pZ0NK2y6HRbn(oVre8I6UXc3b.aeRwQBDErTCO, idr841wg0ysW.TRUOLFLuD08x)]
else:
wqMSiQi2M9Nk = None
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'1[\x96Spc7'), chr(0b101101 + 0o67) + '\x65' + chr(99) + '\157' + '\x64' + chr(0b11101 + 0o110))('\x75' + '\x74' + chr(0b1100110) + chr(45) + chr(56)))(N89JzWdgI6MP, wqMSiQi2M9Nk)
xafqLlk3kkUe(oVre8I6UXc3b._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'\x04\\\x87XR[\x07\xdd\x98\xd8J\x8e'), '\x64' + chr(0b1100101) + '\143' + '\157' + chr(100) + '\x65')('\165' + chr(0b1101001 + 0o13) + chr(0b1010000 + 0o26) + chr(298 - 253) + chr(0b111000)))(idr841wg0ysW, axnxdawmCuz_)
|
apache/incubator-mxnet
|
python/mxnet/module/module.py
|
Module.backward
|
def backward(self, out_grads=None):
"""Backward computation.
See Also
----------
:meth:`BaseModule.backward`.
Parameters
----------
out_grads : NDArray or list of NDArray, optional
Gradient on the outputs to be propagated back.
This parameter is only needed when bind is called
on outputs that are not a loss function.
"""
assert self.binded and self.params_initialized
self._exec_group.backward(out_grads=out_grads)
|
python
|
def backward(self, out_grads=None):
"""Backward computation.
See Also
----------
:meth:`BaseModule.backward`.
Parameters
----------
out_grads : NDArray or list of NDArray, optional
Gradient on the outputs to be propagated back.
This parameter is only needed when bind is called
on outputs that are not a loss function.
"""
assert self.binded and self.params_initialized
self._exec_group.backward(out_grads=out_grads)
|
[
"def",
"backward",
"(",
"self",
",",
"out_grads",
"=",
"None",
")",
":",
"assert",
"self",
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".",
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"self",
".",
"_exec_group",
".",
"backward",
"(",
"out_grads",
"=",
"out_grads",
")"
] |
Backward computation.
See Also
----------
:meth:`BaseModule.backward`.
Parameters
----------
out_grads : NDArray or list of NDArray, optional
Gradient on the outputs to be propagated back.
This parameter is only needed when bind is called
on outputs that are not a loss function.
|
[
"Backward",
"computation",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/module.py#L629-L644
|
train
|
Backward computation.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1000000 + 0o57) + '\x36' + chr(0b101111 + 0o1), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b110000), 3271 - 3263), ehT0Px3KOsy9('\x30' + chr(9586 - 9475) + chr(50) + chr(0b110101) + chr(2233 - 2184), ord("\x08")), ehT0Px3KOsy9(chr(141 - 93) + chr(0b1101111) + chr(52) + chr(0b110111), 8152 - 8144), ehT0Px3KOsy9('\x30' + chr(4188 - 4077) + chr(0b110001) + chr(2354 - 2305) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10321 - 10210) + chr(0b11011 + 0o26) + chr(0b110010) + chr(1394 - 1339), 42136 - 42128), ehT0Px3KOsy9('\060' + '\157' + chr(0b10000 + 0o41) + '\x31' + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + chr(3025 - 2914) + chr(1935 - 1884) + chr(2413 - 2359) + chr(0b101111 + 0o4), 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(0b110010) + chr(0b100001 + 0o23) + chr(0b110100), 35931 - 35923), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2286 - 2237) + chr(935 - 885), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1010000 + 0o37) + chr(51) + '\x36' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + chr(351 - 301) + chr(48), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x37' + chr(2319 - 2269), 61289 - 61281), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101110 + 0o7), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b101 + 0o152) + '\x33' + '\065' + chr(2403 - 2350), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(0b110100) + '\x30', 7765 - 7757), ehT0Px3KOsy9(chr(543 - 495) + chr(0b1011000 + 0o27) + chr(0b110001) + chr(52) + '\067', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10011 + 0o37) + '\065' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(5710 - 5599) + '\062' + chr(1835 - 1782) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(371 - 260) + chr(0b1 + 0o60) + chr(2666 - 2611) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(96 - 48) + chr(0b1100011 + 0o14) + '\061' + chr(0b1100 + 0o45), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(1916 - 1864) + '\061', 48041 - 48033), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(1351 - 1302) + chr(1872 - 1820), 0o10), ehT0Px3KOsy9('\060' + chr(1395 - 1284) + chr(0b110101) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100011 + 0o14) + chr(0b101111 + 0o4) + chr(51) + chr(1523 - 1473), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b100010 + 0o16) + chr(53), 42614 - 42606), ehT0Px3KOsy9(chr(2061 - 2013) + '\x6f' + chr(0b110010) + chr(828 - 773), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110110) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(0b1110 + 0o44) + '\x33' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + '\063' + chr(0b11111 + 0o22) + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(0b10010 + 0o135) + '\062' + chr(0b110001) + chr(0b110001), 386 - 378), ehT0Px3KOsy9(chr(48) + chr(11466 - 11355) + chr(50) + chr(0b100111 + 0o14) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1148 - 1098) + '\x35' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110100) + chr(53), 20930 - 20922), ehT0Px3KOsy9(chr(581 - 533) + chr(0b1100010 + 0o15) + chr(0b11101 + 0o24) + '\065' + '\065', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b1110 + 0o47) + '\062', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101 + 0o55) + chr(211 - 157) + '\x35', 25089 - 25081), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + chr(0b110011) + chr(1667 - 1613) + chr(0b111 + 0o55), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(565 - 514) + chr(0b101001 + 0o10), 0b1000), ehT0Px3KOsy9(chr(1364 - 1316) + chr(0b1111 + 0o140) + chr(49) + '\x34' + chr(0b110000 + 0o4), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1010000 + 0o37) + '\065' + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e'), '\x64' + '\x65' + chr(0b1011000 + 0o13) + '\x6f' + '\x64' + '\145')('\165' + '\x74' + '\x66' + chr(1217 - 1172) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def NkF4FoEFSIEn(oVre8I6UXc3b, smjiSYx587nD=None):
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'FE\xfaV\x01!|\xb0\xe9;\xa3`'), '\144' + '\x65' + chr(3858 - 3759) + '\x6f' + chr(100) + chr(101))(chr(0b1100011 + 0o22) + '\x74' + chr(4701 - 4599) + chr(0b11101 + 0o20) + chr(0b111 + 0o61))) and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'|(\xd3]=\x06\x01\xb6\x90E\x8e}'), chr(1958 - 1858) + chr(0b100010 + 0o103) + chr(0b1100011) + chr(1971 - 1860) + chr(0b1100100) + '\145')(chr(0b1110101 + 0o0) + chr(1964 - 1848) + chr(3272 - 3170) + chr(0b101101) + '\070'))
xafqLlk3kkUe(oVre8I6UXc3b._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'Rq\xcaL:6;\x97'), chr(100) + chr(0b1001 + 0o134) + '\143' + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(0b1000011 + 0o62) + '\x74' + chr(0b1100110) + chr(1694 - 1649) + '\x38'))(out_grads=smjiSYx587nD)
|
apache/incubator-mxnet
|
python/mxnet/module/module.py
|
Module.update
|
def update(self):
"""Updates parameters according to the installed optimizer and the gradients computed
in the previous forward-backward batch.
When KVStore is used to update parameters for multi-device or multi-machine training,
a copy of the parameters are stored in KVStore. Note that for `row_sparse` parameters,
this function does update the copy of parameters in KVStore, but doesn't broadcast the
updated parameters to all devices / machines. Please call `prepare` to broadcast
`row_sparse` parameters with the next batch of data.
See Also
----------
:meth:`BaseModule.update`.
"""
assert self.binded and self.params_initialized and self.optimizer_initialized
self._params_dirty = True
if self._update_on_kvstore:
_update_params_on_kvstore(self._exec_group.param_arrays,
self._exec_group.grad_arrays,
self._kvstore, self._exec_group.param_names)
else:
_update_params(self._exec_group.param_arrays,
self._exec_group.grad_arrays,
updater=self._updater,
num_device=len(self._context),
kvstore=self._kvstore,
param_names=self._exec_group.param_names)
|
python
|
def update(self):
"""Updates parameters according to the installed optimizer and the gradients computed
in the previous forward-backward batch.
When KVStore is used to update parameters for multi-device or multi-machine training,
a copy of the parameters are stored in KVStore. Note that for `row_sparse` parameters,
this function does update the copy of parameters in KVStore, but doesn't broadcast the
updated parameters to all devices / machines. Please call `prepare` to broadcast
`row_sparse` parameters with the next batch of data.
See Also
----------
:meth:`BaseModule.update`.
"""
assert self.binded and self.params_initialized and self.optimizer_initialized
self._params_dirty = True
if self._update_on_kvstore:
_update_params_on_kvstore(self._exec_group.param_arrays,
self._exec_group.grad_arrays,
self._kvstore, self._exec_group.param_names)
else:
_update_params(self._exec_group.param_arrays,
self._exec_group.grad_arrays,
updater=self._updater,
num_device=len(self._context),
kvstore=self._kvstore,
param_names=self._exec_group.param_names)
|
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",",
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"param_names",
")"
] |
Updates parameters according to the installed optimizer and the gradients computed
in the previous forward-backward batch.
When KVStore is used to update parameters for multi-device or multi-machine training,
a copy of the parameters are stored in KVStore. Note that for `row_sparse` parameters,
this function does update the copy of parameters in KVStore, but doesn't broadcast the
updated parameters to all devices / machines. Please call `prepare` to broadcast
`row_sparse` parameters with the next batch of data.
See Also
----------
:meth:`BaseModule.update`.
|
[
"Updates",
"parameters",
"according",
"to",
"the",
"installed",
"optimizer",
"and",
"the",
"gradients",
"computed",
"in",
"the",
"previous",
"forward",
"-",
"backward",
"batch",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/module.py#L646-L673
|
train
|
Updates the parameters according to the current optimizer and gradients.
|
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(8467 - 8356) + '\x33' + chr(49) + chr(0b11 + 0o62), 58456 - 58448), ehT0Px3KOsy9(chr(48) + chr(0b1100100 + 0o13) + chr(0b1100 + 0o53) + chr(0b101011 + 0o6), 9688 - 9680), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1011 + 0o50) + chr(0b11010 + 0o27) + chr(1712 - 1658), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2463 - 2412) + chr(0b1001 + 0o54) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b110001) + chr(0b11100 + 0o24), 0b1000), ehT0Px3KOsy9('\060' + chr(11305 - 11194) + chr(1804 - 1755) + '\x33' + chr(0b100110 + 0o21), 17891 - 17883), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b110111) + chr(0b100101 + 0o16), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\x34' + chr(0b1001 + 0o56), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + chr(693 - 643) + '\065' + chr(0b110000), 58009 - 58001), ehT0Px3KOsy9(chr(1212 - 1164) + '\x6f' + chr(0b110011) + '\060' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\061' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(2113 - 2062) + chr(1005 - 955) + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1297 - 1186) + '\064' + chr(0b10 + 0o60), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + chr(0b110011) + chr(1914 - 1864) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(51) + '\060', 50847 - 50839), ehT0Px3KOsy9(chr(0b110000) + chr(6357 - 6246) + '\x31' + chr(0b110011) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(10565 - 10454) + chr(643 - 593) + chr(53) + chr(1584 - 1534), 0o10), ehT0Px3KOsy9(chr(448 - 400) + chr(11321 - 11210) + '\064' + chr(867 - 816), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1011011 + 0o24) + chr(51) + chr(2584 - 2533) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(543 - 494) + '\065' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100 + 0o143) + chr(0b100011 + 0o17) + '\x34' + chr(0b110010 + 0o2), 30213 - 30205), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10 + 0o61) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(0b100000 + 0o25) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10011 + 0o134) + chr(0b110010) + chr(0b101001 + 0o7) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1100010 + 0o15) + chr(2264 - 2213) + chr(0b110010) + chr(0b110100), 8), ehT0Px3KOsy9(chr(2128 - 2080) + chr(111) + chr(0b1110 + 0o45) + chr(0b110101) + chr(2212 - 2161), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1872 - 1821) + chr(53) + chr(0b110100 + 0o0), 61301 - 61293), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(1290 - 1242) + chr(0b1101111) + chr(0b11011 + 0o27) + '\x30' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(50) + chr(0b10100 + 0o43) + '\063', 0b1000), ehT0Px3KOsy9(chr(436 - 388) + chr(0b110101 + 0o72) + chr(0b110011) + chr(0b100011 + 0o21) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9090 - 8979) + chr(0b110101) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b100101 + 0o22) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b110111) + chr(53), 6455 - 6447), ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + chr(0b110110 + 0o0) + chr(0b10010 + 0o40), 0o10), ehT0Px3KOsy9('\x30' + chr(2609 - 2498) + chr(0b110010) + chr(0b110010) + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101100 + 0o3) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b1 + 0o63) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(0b110001) + chr(49) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(0b110001) + '\061' + chr(501 - 449), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110101) + chr(0b110 + 0o52), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3'), chr(0b111000 + 0o54) + chr(0b1100101) + '\143' + chr(111) + chr(905 - 805) + chr(1477 - 1376))(chr(117) + chr(0b1000000 + 0o64) + chr(0b1101 + 0o131) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZtAEiNJny4e0(oVre8I6UXc3b):
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbbl\x9d\x9c\x04)N\xe4\xe5\xf0\x1b\xa4'), chr(100) + '\145' + '\143' + chr(3602 - 3491) + '\x64' + '\145')(chr(6001 - 5884) + '\164' + chr(102) + chr(0b11001 + 0o24) + chr(0b111000))) and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x81\x01\xb4\x978\x0e3\xe2\x9c\x8e6\xb9'), '\x64' + chr(101) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(9325 - 9224))(chr(0b1110101) + chr(0b100100 + 0o120) + chr(7448 - 7346) + '\055' + '\070')) and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaeM\xb8\xdb\nf9\x92\xe0\xf6u\xb9'), chr(1312 - 1212) + chr(0b1100101) + chr(0b1100011) + chr(0b1000111 + 0o50) + '\x64' + '\145')('\165' + chr(116) + '\146' + '\055' + '\070'))
oVre8I6UXc3b.nLiQQXoQN3PC = ehT0Px3KOsy9('\x30' + chr(5265 - 5154) + chr(0b101001 + 0o10), 0b1000)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x83h\x98\xdc\t\x106\xec\xc0\xf6>\xbe'), chr(0b1000110 + 0o36) + '\145' + '\x63' + chr(3116 - 3005) + chr(0b1100100) + '\145')('\165' + '\x74' + chr(6098 - 5996) + chr(45) + chr(0b10000 + 0o50))):
fjHKNFUyRiFp(xafqLlk3kkUe(oVre8I6UXc3b._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'\x84\x7f\xa4\xdd0:3\xe4\xc9\x86>\x9b'), chr(6430 - 6330) + chr(0b1100101) + '\x63' + chr(0b100100 + 0o113) + chr(0b1100100) + chr(2916 - 2815))(chr(0b110110 + 0o77) + chr(0b10011 + 0o141) + '\x66' + chr(1982 - 1937) + '\070')), xafqLlk3kkUe(oVre8I6UXc3b._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'\x92_\xa8\xa3!/>\xcc\xed\xf3\x19\x92'), chr(6822 - 6722) + chr(0b1100101) + '\143' + chr(0b101 + 0o152) + '\144' + chr(0b1100101))(chr(0b101111 + 0o106) + chr(0b1100110 + 0o16) + chr(102) + chr(45) + chr(0b1100 + 0o54))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4{\x9d\xd8~9\x17\x97\xcd\xa0-\xa2'), chr(100) + '\145' + '\143' + chr(0b1 + 0o156) + '\144' + '\145')('\165' + chr(3654 - 3538) + '\x66' + '\x2d' + '\x38')), xafqLlk3kkUe(oVre8I6UXc3b._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbdX\xbc\x8c%\x00\x15\xc6\xc5\xa4?'), chr(0b1000 + 0o134) + chr(101) + chr(6634 - 6535) + chr(0b1101111) + '\144' + chr(101))(chr(117) + chr(116) + chr(2635 - 2533) + chr(0b101101) + '\070')))
else:
Iiw4mXbucshH(xafqLlk3kkUe(oVre8I6UXc3b._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'\x84\x7f\xa4\xdd0:3\xe4\xc9\x86>\x9b'), chr(1187 - 1087) + chr(7527 - 7426) + chr(99) + chr(0b1101111) + '\x64' + '\x65')(chr(117) + '\x74' + chr(102) + '\x2d' + '\070')), xafqLlk3kkUe(oVre8I6UXc3b._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'\x92_\xa8\xa3!/>\xcc\xed\xf3\x19\x92'), chr(100) + chr(101) + chr(0b100001 + 0o102) + chr(0b1101111) + chr(100) + chr(8982 - 8881))(chr(117) + '\164' + '\x66' + '\055' + '\070')), updater=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\r\x87\xa7\x1c\x19\x18\xff\x98\xb3\x0e\xed'), chr(100) + '\145' + chr(99) + chr(300 - 189) + chr(3015 - 2915) + '\145')(chr(0b1110101) + chr(12997 - 12881) + chr(0b1100110) + '\055' + chr(1218 - 1162))), num_device=c2A0yzQpDQB3(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x92Z\xa1\x83<:\x03\xd3'), '\x64' + chr(101) + chr(0b1100011) + '\157' + chr(0b1100100) + '\x65')('\x75' + chr(0b100 + 0o160) + '\x66' + chr(0b11101 + 0o20) + '\x38'))), kvstore=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4{\x9d\xd8~9\x17\x97\xcd\xa0-\xa2'), chr(0b1100100) + '\x65' + chr(99) + chr(0b1010110 + 0o31) + chr(0b1001111 + 0o25) + '\x65')(chr(12325 - 12208) + '\164' + chr(9966 - 9864) + chr(0b1011 + 0o42) + '\070')), param_names=xafqLlk3kkUe(oVre8I6UXc3b._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbdX\xbc\x8c%\x00\x15\xc6\xc5\xa4?'), '\x64' + chr(0b1100101) + '\143' + chr(0b1101110 + 0o1) + '\x64' + '\145')('\165' + chr(1476 - 1360) + chr(102) + '\x2d' + '\070')))
|
apache/incubator-mxnet
|
python/mxnet/module/module.py
|
Module.get_outputs
|
def get_outputs(self, merge_multi_context=True):
"""Gets outputs of the previous forward computation.
If ``merge_multi_context`` is ``True``, it is like ``[out1, out2]``. Otherwise, it
is like ``[[out1_dev1, out1_dev2], [out2_dev1, out2_dev2]]``. All the output
elements are `NDArray`. When `merge_multi_context` is `False`, those `NDArray`
might live on different devices.
Parameters
----------
merge_multi_context : bool
Default is ``True``. In the case when data-parallelism is used, the outputs
will be collected from multiple devices. A ``True`` value indicate that we
should merge the collected results so that they look like from a single
executor.
Returns
-------
list of NDArray or list of list of NDArray
Output.
"""
assert self.binded and self.params_initialized
return self._exec_group.get_outputs(merge_multi_context=merge_multi_context)
|
python
|
def get_outputs(self, merge_multi_context=True):
"""Gets outputs of the previous forward computation.
If ``merge_multi_context`` is ``True``, it is like ``[out1, out2]``. Otherwise, it
is like ``[[out1_dev1, out1_dev2], [out2_dev1, out2_dev2]]``. All the output
elements are `NDArray`. When `merge_multi_context` is `False`, those `NDArray`
might live on different devices.
Parameters
----------
merge_multi_context : bool
Default is ``True``. In the case when data-parallelism is used, the outputs
will be collected from multiple devices. A ``True`` value indicate that we
should merge the collected results so that they look like from a single
executor.
Returns
-------
list of NDArray or list of list of NDArray
Output.
"""
assert self.binded and self.params_initialized
return self._exec_group.get_outputs(merge_multi_context=merge_multi_context)
|
[
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",",
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"=",
"True",
")",
":",
"assert",
"self",
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"and",
"self",
".",
"params_initialized",
"return",
"self",
".",
"_exec_group",
".",
"get_outputs",
"(",
"merge_multi_context",
"=",
"merge_multi_context",
")"
] |
Gets outputs of the previous forward computation.
If ``merge_multi_context`` is ``True``, it is like ``[out1, out2]``. Otherwise, it
is like ``[[out1_dev1, out1_dev2], [out2_dev1, out2_dev2]]``. All the output
elements are `NDArray`. When `merge_multi_context` is `False`, those `NDArray`
might live on different devices.
Parameters
----------
merge_multi_context : bool
Default is ``True``. In the case when data-parallelism is used, the outputs
will be collected from multiple devices. A ``True`` value indicate that we
should merge the collected results so that they look like from a single
executor.
Returns
-------
list of NDArray or list of list of NDArray
Output.
|
[
"Gets",
"outputs",
"of",
"the",
"previous",
"forward",
"computation",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/module.py#L675-L697
|
train
|
Gets outputs of the previous forward computation.
|
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(2274 - 2220) + chr(1204 - 1150), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b0 + 0o157) + chr(0b110001) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(1436 - 1388) + chr(10417 - 10306) + chr(50) + chr(0b101111 + 0o4) + chr(0b10010 + 0o44), 17023 - 17015), ehT0Px3KOsy9('\060' + chr(10990 - 10879) + chr(968 - 919) + chr(0b110111) + chr(0b101111 + 0o10), 8167 - 8159), ehT0Px3KOsy9(chr(370 - 322) + chr(6020 - 5909) + chr(0b101101 + 0o5) + '\x33' + '\x36', 8), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(1522 - 1467) + chr(2105 - 2056), 46085 - 46077), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(2267 - 2215) + chr(1580 - 1532), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + '\x32' + '\060' + chr(0b1011 + 0o45), 61719 - 61711), ehT0Px3KOsy9(chr(478 - 430) + chr(111) + chr(474 - 424) + chr(0b101010 + 0o10) + chr(0b100111 + 0o15), 0b1000), ehT0Px3KOsy9('\060' + chr(10119 - 10008) + '\062' + chr(0b110011) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b101 + 0o152) + chr(0b110001) + chr(0b110010) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(11022 - 10911) + chr(0b100100 + 0o15) + chr(744 - 692) + chr(0b110 + 0o52), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(1476 - 1424) + '\060', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11 + 0o56) + '\x37' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(50) + chr(0b110011 + 0o3) + chr(850 - 795), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(54) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b110100) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(1486 - 1432) + chr(135 - 81), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(1323 - 1275) + chr(111) + chr(0b110001) + '\x34' + '\x30', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b1011 + 0o54) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1011101 + 0o22) + chr(55) + chr(49), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b10010 + 0o41) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + chr(0b110 + 0o53) + '\x32' + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\067' + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101101 + 0o2) + '\x33' + '\061' + chr(2343 - 2289), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(861 - 809) + '\067', 50338 - 50330), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11100 + 0o27) + chr(1375 - 1322) + '\066', 47465 - 47457), ehT0Px3KOsy9(chr(1510 - 1462) + '\157' + chr(0b10000 + 0o43) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010 + 0o145) + chr(0b101001 + 0o12) + '\061', 8), ehT0Px3KOsy9('\060' + chr(2887 - 2776) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(0b11011 + 0o26) + chr(0b11110 + 0o22) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + chr(1192 - 1141) + '\x35' + chr(1214 - 1159), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111010 + 0o65) + chr(49) + '\063' + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(11593 - 11482) + chr(53) + '\062', 0b1000), ehT0Px3KOsy9(chr(1770 - 1722) + '\157' + chr(0b110001) + '\x31' + '\x32', 51847 - 51839), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(49) + chr(0b110000 + 0o4) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(622 - 574) + '\x6f' + '\x31' + chr(0b110110) + chr(0b11011 + 0o30), 0o10), ehT0Px3KOsy9(chr(1109 - 1061) + chr(111) + '\063' + chr(0b11100 + 0o25) + chr(0b10001 + 0o37), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b0 + 0o157) + chr(0b100001 + 0o24) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x98'), chr(0b101001 + 0o73) + '\x65' + '\x63' + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(3832 - 3715) + '\164' + chr(0b110101 + 0o61) + chr(45) + chr(0b101001 + 0o17)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Lq0aO6eFqvE4(oVre8I6UXc3b, fiDSENKwhwgs=ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001), ord("\x08"))):
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0X\xcd\x0e\xd2O\x15\xc3\xd9\xab\x06\x10'), chr(0b1000 + 0o134) + chr(0b1100101) + '\x63' + chr(0b1100010 + 0o15) + chr(100) + chr(1179 - 1078))('\x75' + '\x74' + chr(102) + '\x2d' + chr(2875 - 2819))) and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa5\xe4\x05\xeehh\xc5\xa0\xd5+\r'), chr(8964 - 8864) + chr(101) + chr(0b1010011 + 0o20) + chr(3111 - 3000) + '\144' + chr(0b1100101))(chr(117) + chr(116) + chr(0b1111 + 0o127) + '\055' + '\x38'))
return xafqLlk3kkUe(oVre8I6UXc3b._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1h\xea \xf1LT\xf0\xe1\xee"'), '\x64' + chr(101) + chr(99) + chr(0b111010 + 0o65) + chr(4884 - 4784) + '\145')(chr(117) + chr(1480 - 1364) + chr(0b1010000 + 0o26) + chr(45) + chr(0b111000)))(merge_multi_context=fiDSENKwhwgs)
|
apache/incubator-mxnet
|
python/mxnet/module/module.py
|
Module.get_input_grads
|
def get_input_grads(self, merge_multi_context=True):
"""Gets the gradients with respect to the inputs of the module.
If ``merge_multi_context`` is ``True``, it is like ``[grad1, grad2]``. Otherwise, it
is like ``[[grad1_dev1, grad1_dev2], [grad2_dev1, grad2_dev2]]``. All the output
elements are `NDArray`.
Parameters
----------
merge_multi_context : bool
Default is ``True``. In the case when data-parallelism is used, the outputs
will be collected from multiple devices. A ``True`` value indicate that we
should merge the collected results so that they look like from a single
executor.
Returns
-------
list of NDArray or list of list of NDArray
Input gradients
"""
assert self.binded and self.params_initialized and self.inputs_need_grad
return self._exec_group.get_input_grads(merge_multi_context=merge_multi_context)
|
python
|
def get_input_grads(self, merge_multi_context=True):
"""Gets the gradients with respect to the inputs of the module.
If ``merge_multi_context`` is ``True``, it is like ``[grad1, grad2]``. Otherwise, it
is like ``[[grad1_dev1, grad1_dev2], [grad2_dev1, grad2_dev2]]``. All the output
elements are `NDArray`.
Parameters
----------
merge_multi_context : bool
Default is ``True``. In the case when data-parallelism is used, the outputs
will be collected from multiple devices. A ``True`` value indicate that we
should merge the collected results so that they look like from a single
executor.
Returns
-------
list of NDArray or list of list of NDArray
Input gradients
"""
assert self.binded and self.params_initialized and self.inputs_need_grad
return self._exec_group.get_input_grads(merge_multi_context=merge_multi_context)
|
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"_exec_group",
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"get_input_grads",
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"merge_multi_context",
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"merge_multi_context",
")"
] |
Gets the gradients with respect to the inputs of the module.
If ``merge_multi_context`` is ``True``, it is like ``[grad1, grad2]``. Otherwise, it
is like ``[[grad1_dev1, grad1_dev2], [grad2_dev1, grad2_dev2]]``. All the output
elements are `NDArray`.
Parameters
----------
merge_multi_context : bool
Default is ``True``. In the case when data-parallelism is used, the outputs
will be collected from multiple devices. A ``True`` value indicate that we
should merge the collected results so that they look like from a single
executor.
Returns
-------
list of NDArray or list of list of NDArray
Input gradients
|
[
"Gets",
"the",
"gradients",
"with",
"respect",
"to",
"the",
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"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/module.py#L699-L720
|
train
|
Gets the gradients with respect to the inputs of the module.
|
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(210 - 162) + chr(0b1011110 + 0o21) + chr(139 - 90) + chr(0b110001) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + '\x32' + chr(0b100101 + 0o13) + chr(901 - 852), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x34' + '\060', 0b1000), ehT0Px3KOsy9(chr(1898 - 1850) + chr(0b1101110 + 0o1) + '\x31' + chr(0b110010) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(2179 - 2130) + chr(53) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(1541 - 1492) + '\x30' + '\x35', 43297 - 43289), ehT0Px3KOsy9('\060' + chr(8596 - 8485) + '\x32' + '\061' + chr(0b10001 + 0o44), 20626 - 20618), ehT0Px3KOsy9(chr(716 - 668) + '\157' + '\061' + '\061' + chr(2436 - 2385), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + chr(0b110001) + chr(0b1001 + 0o47) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(51) + '\x30', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x36' + chr(50), 0b1000), ehT0Px3KOsy9(chr(1848 - 1800) + '\x6f' + chr(53) + chr(0b101110 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(1627 - 1577) + '\x33', 0o10), ehT0Px3KOsy9(chr(1012 - 964) + chr(111) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(2009 - 1961) + '\157' + chr(1574 - 1525) + chr(0b1001 + 0o56) + chr(1404 - 1356), 45907 - 45899), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b101010 + 0o105) + '\061' + chr(0b110100) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + chr(0b1000 + 0o56) + chr(50), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\064' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + chr(0b110010) + '\066' + chr(50), 63338 - 63330), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1000100 + 0o53) + chr(51) + '\063' + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\066' + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(50) + chr(579 - 527), 0b1000), ehT0Px3KOsy9(chr(1036 - 988) + chr(1285 - 1174) + chr(0b101011 + 0o10) + chr(123 - 71) + chr(1205 - 1151), 0o10), ehT0Px3KOsy9(chr(1149 - 1101) + chr(0b1010011 + 0o34) + '\x32' + chr(853 - 803) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011111 + 0o20) + '\063' + chr(0b110100) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(863 - 813) + chr(0b110110 + 0o0), 14421 - 14413), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1001 + 0o146) + chr(0b1 + 0o61) + '\066' + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + '\067' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(444 - 396) + chr(0b1000111 + 0o50) + '\061' + chr(2479 - 2427), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100001 + 0o16) + chr(51) + chr(0b101001 + 0o7) + chr(1314 - 1265), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + '\063' + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(52) + '\060', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1843 - 1793) + '\065' + chr(711 - 662), 0b1000), ehT0Px3KOsy9(chr(287 - 239) + '\157' + '\061' + '\060' + chr(0b101011 + 0o11), ord("\x08")), ehT0Px3KOsy9(chr(701 - 653) + chr(6565 - 6454) + '\x32' + chr(2361 - 2310) + chr(0b1111 + 0o47), 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(7530 - 7419) + chr(0b101000 + 0o11) + chr(54) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011000 + 0o27) + chr(0b110011) + '\x37' + '\x32', 0b1000), ehT0Px3KOsy9(chr(1559 - 1511) + '\x6f' + chr(0b100100 + 0o15) + '\x36' + chr(773 - 722), 8), ehT0Px3KOsy9(chr(381 - 333) + chr(111) + chr(0b110001) + chr(1951 - 1897) + chr(53), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101011 + 0o4) + chr(0b110101) + chr(788 - 740), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'b'), '\144' + '\x65' + chr(0b1100011) + chr(0b1101111) + '\x64' + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b10110 + 0o120) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def b0MN0W_Auapr(oVre8I6UXc3b, fiDSENKwhwgs=ehT0Px3KOsy9('\x30' + chr(1992 - 1881) + '\x31', 0b1000)):
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b':\xd4s$#3\xb8\x08\r\xa9DB'), chr(100) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(0b101000 + 0o74) + chr(0b1110 + 0o127))(chr(117) + chr(10363 - 10247) + chr(0b1101 + 0o131) + chr(45) + chr(0b1110 + 0o52))) and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x00\xb9Z/\x1f\x14\xc5\x0et\xd7i_'), chr(0b1011010 + 0o12) + chr(101) + chr(99) + chr(111) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(9968 - 9866) + chr(0b101101) + chr(0b111000 + 0o0))) and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'>\xdbKa:\x13\xde\x1e&\xeeLj'), chr(3449 - 3349) + chr(8954 - 8853) + '\x63' + '\157' + '\144' + '\x65')(chr(207 - 90) + chr(116) + '\146' + chr(616 - 571) + '\070'))
return xafqLlk3kkUe(oVre8I6UXc3b._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'+\xe4T\n\x06+\xfd>4\xc7t@K\xf7w'), chr(0b1101 + 0o127) + chr(0b1100101) + chr(0b101000 + 0o73) + chr(111) + chr(0b1011010 + 0o12) + chr(101))(chr(117) + '\164' + chr(1812 - 1710) + '\055' + '\x38'))(merge_multi_context=fiDSENKwhwgs)
|
apache/incubator-mxnet
|
python/mxnet/module/module.py
|
Module.get_states
|
def get_states(self, merge_multi_context=True):
"""Gets states from all devices.
If `merge_multi_context` is ``True``, it is like ``[out1, out2]``. Otherwise, it
is like ``[[out1_dev1, out1_dev2], [out2_dev1, out2_dev2]]``. All the output
elements are `NDArray`.
Parameters
----------
merge_multi_context : bool
Default is ``True``. In the case when data-parallelism is used, the states
will be collected from multiple devices. A ``True`` value indicate that we
should merge the collected results so that they look like from a single
executor.
Returns
-------
list of NDArray or list of list of NDArray
States
"""
assert self.binded and self.params_initialized
return self._exec_group.get_states(merge_multi_context=merge_multi_context)
|
python
|
def get_states(self, merge_multi_context=True):
"""Gets states from all devices.
If `merge_multi_context` is ``True``, it is like ``[out1, out2]``. Otherwise, it
is like ``[[out1_dev1, out1_dev2], [out2_dev1, out2_dev2]]``. All the output
elements are `NDArray`.
Parameters
----------
merge_multi_context : bool
Default is ``True``. In the case when data-parallelism is used, the states
will be collected from multiple devices. A ``True`` value indicate that we
should merge the collected results so that they look like from a single
executor.
Returns
-------
list of NDArray or list of list of NDArray
States
"""
assert self.binded and self.params_initialized
return self._exec_group.get_states(merge_multi_context=merge_multi_context)
|
[
"def",
"get_states",
"(",
"self",
",",
"merge_multi_context",
"=",
"True",
")",
":",
"assert",
"self",
".",
"binded",
"and",
"self",
".",
"params_initialized",
"return",
"self",
".",
"_exec_group",
".",
"get_states",
"(",
"merge_multi_context",
"=",
"merge_multi_context",
")"
] |
Gets states from all devices.
If `merge_multi_context` is ``True``, it is like ``[out1, out2]``. Otherwise, it
is like ``[[out1_dev1, out1_dev2], [out2_dev1, out2_dev2]]``. All the output
elements are `NDArray`.
Parameters
----------
merge_multi_context : bool
Default is ``True``. In the case when data-parallelism is used, the states
will be collected from multiple devices. A ``True`` value indicate that we
should merge the collected results so that they look like from a single
executor.
Returns
-------
list of NDArray or list of list of NDArray
States
|
[
"Gets",
"states",
"from",
"all",
"devices",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/module.py#L722-L743
|
train
|
Gets states from all devices.
|
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(0b11010 + 0o26) + '\157' + '\x33' + chr(2102 - 2053) + chr(0b11000 + 0o37), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\x37' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1011110 + 0o21) + chr(1380 - 1330) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b10001 + 0o44) + chr(0b110011), 14082 - 14074), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b110111 + 0o70) + '\x34' + chr(53), 0o10), ehT0Px3KOsy9(chr(1059 - 1011) + '\157' + chr(50) + chr(51) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(438 - 390) + chr(0b1100001 + 0o16) + '\065' + chr(0b110110), 26604 - 26596), ehT0Px3KOsy9(chr(2201 - 2153) + chr(111) + '\063', 30408 - 30400), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(927 - 876) + chr(0b110110) + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(10949 - 10838) + chr(0b1110 + 0o43) + chr(0b110110) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101111 + 0o100) + '\061' + '\063' + chr(0b100111 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5159 - 5048) + '\063' + chr(0b1011 + 0o46) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + chr(0b110001) + chr(1638 - 1583) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(54) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100000 + 0o23) + '\x34' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110001 + 0o76) + chr(51) + chr(52) + chr(0b110 + 0o54), 0o10), ehT0Px3KOsy9(chr(1821 - 1773) + chr(0b1101111) + chr(0b11111 + 0o22) + chr(1006 - 953), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(53) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + chr(0b110011) + '\x30' + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\x34' + chr(829 - 774), 54865 - 54857), ehT0Px3KOsy9(chr(1345 - 1297) + chr(0b1101111) + '\062' + '\x36' + chr(55), 23569 - 23561), ehT0Px3KOsy9(chr(524 - 476) + chr(0b1101111) + '\067' + chr(402 - 352), ord("\x08")), ehT0Px3KOsy9(chr(217 - 169) + '\x6f' + chr(50) + chr(51) + chr(0b100010 + 0o25), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + '\064' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + '\063' + chr(0b110001) + chr(0b101 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11110 + 0o121) + chr(0b100100 + 0o17) + chr(0b110010) + chr(1641 - 1592), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + '\065' + chr(0b100000 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b110011) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10001 + 0o136) + '\062' + '\x32' + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(3911 - 3800) + '\x34' + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(0b110101) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + '\063' + chr(54) + chr(0b110010 + 0o5), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(51) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(2484 - 2434) + chr(54), 65231 - 65223), ehT0Px3KOsy9(chr(48) + chr(0b1001 + 0o146) + chr(0b110001) + chr(0b11101 + 0o23) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + '\064' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + chr(3070 - 2959) + '\x32' + chr(49), 0o10), ehT0Px3KOsy9(chr(1621 - 1573) + '\x6f' + chr(904 - 853) + chr(0b101001 + 0o7) + chr(796 - 742), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(568 - 517) + chr(0b11011 + 0o26) + chr(913 - 864), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + '\065' + '\x30', 1995 - 1987)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1'), chr(0b1100100) + '\145' + '\x63' + chr(0b10001 + 0o136) + chr(100) + chr(0b1001100 + 0o31))(chr(5751 - 5634) + chr(116) + chr(8182 - 8080) + chr(671 - 626) + chr(2213 - 2157)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def KiSCykDjgtPQ(oVre8I6UXc3b, fiDSENKwhwgs=ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31', 0b1000)):
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\xa9C\xdai\xe9\x1b@\xbcA\n\xbc'), '\144' + chr(0b1100101) + chr(8620 - 8521) + chr(0b1101111) + '\x64' + '\145')(chr(1162 - 1045) + '\164' + '\146' + chr(45) + '\070')) and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"\x83\xc4j\xd1U\xcefF\xc5?'\xa1"), chr(4726 - 4626) + chr(0b10 + 0o143) + chr(597 - 498) + chr(0b110011 + 0o74) + '\144' + '\145')('\x75' + chr(0b1110100) + chr(0b10111 + 0o117) + chr(0b11 + 0o52) + chr(0b10001 + 0o47)))
return xafqLlk3kkUe(oVre8I6UXc3b._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\x99d\xf4V\xebOw\x94\x03'), chr(4812 - 4712) + chr(0b1100101) + chr(0b1100011) + chr(0b1000011 + 0o54) + chr(2533 - 2433) + chr(101))('\165' + chr(116) + chr(102) + '\055' + '\070'))(merge_multi_context=fiDSENKwhwgs)
|
apache/incubator-mxnet
|
python/mxnet/module/module.py
|
Module.update_metric
|
def update_metric(self, eval_metric, labels, pre_sliced=False):
"""Evaluates and accumulates evaluation metric on outputs of the last forward computation.
See Also
----------
:meth:`BaseModule.update_metric`.
Parameters
----------
eval_metric : EvalMetric
Evaluation metric to use.
labels : list of NDArray if `pre_sliced` parameter is set to `False`,
list of lists of NDArray otherwise. Typically `data_batch.label`.
pre_sliced: bool
Whether the labels are already sliced per device (default: False).
"""
self._exec_group.update_metric(eval_metric, labels, pre_sliced)
|
python
|
def update_metric(self, eval_metric, labels, pre_sliced=False):
"""Evaluates and accumulates evaluation metric on outputs of the last forward computation.
See Also
----------
:meth:`BaseModule.update_metric`.
Parameters
----------
eval_metric : EvalMetric
Evaluation metric to use.
labels : list of NDArray if `pre_sliced` parameter is set to `False`,
list of lists of NDArray otherwise. Typically `data_batch.label`.
pre_sliced: bool
Whether the labels are already sliced per device (default: False).
"""
self._exec_group.update_metric(eval_metric, labels, pre_sliced)
|
[
"def",
"update_metric",
"(",
"self",
",",
"eval_metric",
",",
"labels",
",",
"pre_sliced",
"=",
"False",
")",
":",
"self",
".",
"_exec_group",
".",
"update_metric",
"(",
"eval_metric",
",",
"labels",
",",
"pre_sliced",
")"
] |
Evaluates and accumulates evaluation metric on outputs of the last forward computation.
See Also
----------
:meth:`BaseModule.update_metric`.
Parameters
----------
eval_metric : EvalMetric
Evaluation metric to use.
labels : list of NDArray if `pre_sliced` parameter is set to `False`,
list of lists of NDArray otherwise. Typically `data_batch.label`.
pre_sliced: bool
Whether the labels are already sliced per device (default: False).
|
[
"Evaluates",
"and",
"accumulates",
"evaluation",
"metric",
"on",
"outputs",
"of",
"the",
"last",
"forward",
"computation",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/module.py#L759-L775
|
train
|
Evaluates and accumulates evaluation metric on outputs of the last forward computation.
|
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(0b10001 + 0o37) + '\157' + chr(1811 - 1759), 42149 - 42141), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11000 + 0o31) + '\065' + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(54) + '\063', 25099 - 25091), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\063' + chr(869 - 814), 45139 - 45131), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(1695 - 1646) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(54) + chr(1503 - 1448), 0b1000), ehT0Px3KOsy9(chr(1679 - 1631) + chr(111) + '\x33' + chr(0b100 + 0o54) + chr(0b11111 + 0o22), 32810 - 32802), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(49) + chr(0b100100 + 0o16) + chr(2000 - 1952), 31057 - 31049), ehT0Px3KOsy9('\060' + chr(0b10100 + 0o133) + chr(0b110110), 50452 - 50444), ehT0Px3KOsy9('\060' + chr(0b1010111 + 0o30) + '\x33' + '\x30' + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\065' + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\x32' + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100 + 0o153) + chr(0b100100 + 0o15) + '\067' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1885 - 1837) + chr(111) + '\063' + chr(0b110101) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(3515 - 3404) + chr(55) + '\060', 0b1000), ehT0Px3KOsy9(chr(1965 - 1917) + chr(9028 - 8917) + chr(0b110010) + chr(0b110110) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(7549 - 7438) + '\x31' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\x35' + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\x36' + '\x34', 3344 - 3336), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\x6f' + chr(0b100011 + 0o17) + '\x32', 59188 - 59180), ehT0Px3KOsy9('\060' + chr(0b1011000 + 0o27) + chr(917 - 868) + '\060' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1711 - 1659) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100000 + 0o21) + chr(0b110100) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(1977 - 1927) + chr(0b110000) + '\062', 12342 - 12334), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + '\067' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(461 - 413) + chr(0b1000011 + 0o54) + '\063' + '\060' + chr(49), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110110) + chr(0b11100 + 0o33), ord("\x08")), ehT0Px3KOsy9(chr(219 - 171) + chr(1550 - 1439) + '\x32' + '\x30' + '\063', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1390 - 1336) + chr(0b110001), 55595 - 55587), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\060' + '\x32', 8), ehT0Px3KOsy9('\x30' + chr(11602 - 11491) + '\x31' + chr(0b110010) + chr(0b10110 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(0b110010) + chr(0b110110) + '\067', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b100010 + 0o24) + '\066', 33658 - 33650), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(48) + chr(48), 61623 - 61615), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b110110) + '\060', 39479 - 39471), ehT0Px3KOsy9(chr(0b110000) + chr(0b101 + 0o152) + '\x32' + chr(50) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(791 - 740) + chr(0b110100) + chr(480 - 425), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(897 - 842) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000000 + 0o57) + chr(0b11 + 0o56) + '\065' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2206 - 2155) + chr(0b110100) + chr(0b100010 + 0o23), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(0b110101) + chr(143 - 95), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'*'), '\144' + chr(101) + '\x63' + chr(10185 - 10074) + '\144' + chr(101))(chr(5429 - 5312) + chr(0b1000 + 0o154) + chr(0b1100110) + chr(1761 - 1716) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def uam3A74iiTB5(oVre8I6UXc3b, tbbpbfMnen5w, uXMK81tmdpTM, DHrTOMOb6VYF=ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110000), 21251 - 21243)):
xafqLlk3kkUe(oVre8I6UXc3b._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'q\x19\x17\xfe?\x12\x9e=c\xb1\x1c\xfd\x1a'), chr(564 - 464) + '\145' + chr(5524 - 5425) + chr(0b1101111) + chr(100) + '\x65')(chr(0b1000100 + 0o61) + chr(0b1100 + 0o150) + chr(4671 - 4569) + '\055' + '\x38'))(tbbpbfMnen5w, uXMK81tmdpTM, DHrTOMOb6VYF)
|
apache/incubator-mxnet
|
python/mxnet/module/module.py
|
Module._sync_params_from_devices
|
def _sync_params_from_devices(self):
"""Synchronizes parameters from devices to CPU. This function should be called after
calling `update` that updates the parameters on the devices, before one can read the
latest parameters from ``self._arg_params`` and ``self._aux_params``.
For row_sparse parameters on devices, ther are pulled from KVStore with all row ids.
"""
self._exec_group.get_params(self._arg_params, self._aux_params)
if self._kvstore and self._update_on_kvstore:
for param_name, param_val in sorted(self._arg_params.items()):
if param_val.stype == 'row_sparse':
row_ids = nd.arange(0, param_val.shape[0], dtype='int64')
self._kvstore.row_sparse_pull(param_name, param_val, row_ids=row_ids)
self._params_dirty = False
|
python
|
def _sync_params_from_devices(self):
"""Synchronizes parameters from devices to CPU. This function should be called after
calling `update` that updates the parameters on the devices, before one can read the
latest parameters from ``self._arg_params`` and ``self._aux_params``.
For row_sparse parameters on devices, ther are pulled from KVStore with all row ids.
"""
self._exec_group.get_params(self._arg_params, self._aux_params)
if self._kvstore and self._update_on_kvstore:
for param_name, param_val in sorted(self._arg_params.items()):
if param_val.stype == 'row_sparse':
row_ids = nd.arange(0, param_val.shape[0], dtype='int64')
self._kvstore.row_sparse_pull(param_name, param_val, row_ids=row_ids)
self._params_dirty = False
|
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] |
Synchronizes parameters from devices to CPU. This function should be called after
calling `update` that updates the parameters on the devices, before one can read the
latest parameters from ``self._arg_params`` and ``self._aux_params``.
For row_sparse parameters on devices, ther are pulled from KVStore with all row ids.
|
[
"Synchronizes",
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"devices",
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"CPU",
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"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/module.py#L777-L791
|
train
|
Synchronizes parameters from devices to CPU.
|
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) + chr(0b10010 + 0o44) + '\x30', 61805 - 61797), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + '\062' + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101101 + 0o102) + chr(49) + chr(1193 - 1142) + chr(2056 - 2003), 5703 - 5695), ehT0Px3KOsy9(chr(0b110000) + chr(5743 - 5632) + '\061' + chr(0b110010) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2280 - 2231) + chr(0b0 + 0o60) + chr(1653 - 1604), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b100000 + 0o23) + chr(999 - 947) + chr(1179 - 1130), 0o10), ehT0Px3KOsy9(chr(185 - 137) + '\x6f' + chr(896 - 847) + chr(52) + chr(0b10010 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x36' + chr(0b101101 + 0o5), 0o10), ehT0Px3KOsy9(chr(526 - 478) + chr(111) + chr(0b100110 + 0o13) + chr(0b110101), 50945 - 50937), ehT0Px3KOsy9(chr(1672 - 1624) + chr(0b1101111) + '\x33' + chr(136 - 87) + '\x33', 55141 - 55133), ehT0Px3KOsy9('\060' + chr(0b101110 + 0o101) + chr(358 - 304), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11110 - 10999) + '\x31' + '\x33' + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001100 + 0o43) + chr(0b110010) + chr(0b110000) + chr(1431 - 1382), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\066' + '\x30', 13366 - 13358), ehT0Px3KOsy9(chr(240 - 192) + '\x6f' + chr(0b10111 + 0o34) + chr(1119 - 1067) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(208 - 160) + chr(0b1101111) + chr(0b110011) + chr(0b110100) + chr(0b10001 + 0o37), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11100 + 0o123) + chr(1294 - 1244) + '\062', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(50) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100100 + 0o13) + chr(0b110010) + '\x31' + chr(2863 - 2809), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1998 - 1948) + '\065' + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(0b110001) + '\065', 15026 - 15018), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b1 + 0o57) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1093 - 982) + chr(252 - 199) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1060 - 1009) + '\x35' + '\x31', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(1318 - 1264) + chr(1129 - 1075), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(1926 - 1875) + chr(49), 18472 - 18464), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001 + 0o146) + chr(0b110001) + chr(0b101100 + 0o10) + chr(0b1010 + 0o50), 8), ehT0Px3KOsy9('\x30' + chr(7860 - 7749) + chr(0b110111) + chr(48), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + '\067', 27965 - 27957), ehT0Px3KOsy9(chr(1380 - 1332) + chr(0b1101111) + '\x32' + chr(0b11010 + 0o35) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(0b110100 + 0o1) + chr(0b11100 + 0o27), 37775 - 37767), ehT0Px3KOsy9('\x30' + chr(0b1100100 + 0o13) + chr(1531 - 1481) + '\062' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1001 + 0o50) + '\x35' + chr(536 - 484), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b11110 + 0o23) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10101 + 0o132) + chr(0b100110 + 0o21) + chr(386 - 338), 8), ehT0Px3KOsy9('\060' + chr(9879 - 9768) + chr(1089 - 1039) + '\063' + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(9864 - 9753) + chr(49) + chr(0b11010 + 0o32) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(203 - 92) + chr(51) + chr(0b1000 + 0o51) + chr(0b1111 + 0o46), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\x31' + chr(48), 6594 - 6586), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10111 + 0o34) + chr(0b1000 + 0o50) + chr(0b110011 + 0o1), 59721 - 59713)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(5427 - 5316) + chr(2649 - 2596) + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'^'), '\x64' + chr(101) + chr(0b1 + 0o142) + '\x6f' + '\144' + chr(0b1001 + 0o134))(chr(3139 - 3022) + chr(116) + '\x66' + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def xQj6Ppwi1Ke2(oVre8I6UXc3b):
xafqLlk3kkUe(oVre8I6UXc3b._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17w)\x0e1\x80\x10S`\xb8'), chr(7021 - 6921) + chr(0b1100101) + chr(99) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(12828 - 12711) + '\164' + chr(0b1100110) + chr(45) + '\x38'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1ct\x1b45\x92VmD\x98e\x0e'), '\144' + chr(101) + '\x63' + chr(111) + chr(5926 - 5826) + chr(0b10111 + 0o116))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b101010 + 0o3) + '\x38')), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'#*ka%\x807\\=\xaa>\x0c'), chr(609 - 509) + chr(3848 - 3747) + '\143' + chr(8659 - 8548) + '\x64' + chr(0b11110 + 0o107))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(45) + chr(56))))
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\tP\x0edw\x87\x0e\x02h\xaag('), chr(5807 - 5707) + '\145' + chr(0b1100011) + chr(0b111111 + 0o60) + chr(0b110001 + 0o63) + '\x65')('\165' + '\x74' + '\146' + chr(337 - 292) + chr(0b111000))) and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'>C\x0b`\x00\xae/ye\xfct4'), chr(0b1000010 + 0o42) + chr(1465 - 1364) + chr(1146 - 1047) + chr(0b111101 + 0o62) + chr(100) + chr(0b1100101))(chr(604 - 487) + chr(0b1110100) + chr(9205 - 9103) + chr(1468 - 1423) + chr(0b101011 + 0o15))):
for (LwwoV1LmMhGU, tTj8L3SyvdbF) in vUlqIvNSaRMa(xafqLlk3kkUe(oVre8I6UXc3b._arg_params, xafqLlk3kkUe(SXOLrMavuUCe(b'>h+4\x08\xbbQ{a\x98Ng'), chr(0b1100100) + '\145' + chr(6006 - 5907) + '\x6f' + '\144' + chr(0b1100101))(chr(117) + '\x74' + chr(0b101110 + 0o70) + chr(817 - 772) + '\070'))()):
if xafqLlk3kkUe(tTj8L3SyvdbF, xafqLlk3kkUe(SXOLrMavuUCe(b'\x03f$!$'), chr(0b1010010 + 0o22) + '\145' + chr(3017 - 2918) + chr(0b110111 + 0o70) + chr(1424 - 1324) + '\x65')(chr(0b1110 + 0o147) + chr(116) + chr(0b1010101 + 0o21) + chr(139 - 94) + chr(3126 - 3070))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x02}*\x0e2\x91\x03@~\xae'), '\144' + chr(1731 - 1630) + '\x63' + '\x6f' + chr(100) + chr(0b1010001 + 0o24))(chr(0b1110001 + 0o4) + '\164' + chr(102) + chr(1576 - 1531) + '\070'):
dnz_kPmWveA4 = Vy_CFRcuYrTj.arange(ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110000), 0o10), tTj8L3SyvdbF.nauYfLglTpcb[ehT0Px3KOsy9('\060' + chr(111) + '\x30', 8)], dtype=xafqLlk3kkUe(SXOLrMavuUCe(b'\x19|)gu'), '\144' + chr(101) + chr(0b1100011) + chr(111) + chr(525 - 425) + chr(0b111100 + 0o51))(chr(0b1011110 + 0o27) + '\164' + chr(0b1001001 + 0o35) + '\055' + chr(0b111000)))
xafqLlk3kkUe(oVre8I6UXc3b._kvstore, xafqLlk3kkUe(SXOLrMavuUCe(b'\x02}*\x0e2\x91\x03@~\xaeY.\xf4\xdc\x8a'), '\x64' + chr(0b1100101) + '\x63' + '\157' + chr(0b1100100) + chr(0b1100000 + 0o5))(chr(117) + chr(12671 - 12555) + chr(0b111 + 0o137) + '\055' + chr(1829 - 1773)))(LwwoV1LmMhGU, tTj8L3SyvdbF, row_ids=dnz_kPmWveA4)
oVre8I6UXc3b.nLiQQXoQN3PC = ehT0Px3KOsy9(chr(48) + chr(11172 - 11061) + '\x30', 8)
|
apache/incubator-mxnet
|
python/mxnet/module/module.py
|
Module.save_optimizer_states
|
def save_optimizer_states(self, fname):
"""Saves optimizer (updater) state to a file.
Parameters
----------
fname : str
Path to output states file.
"""
assert self.optimizer_initialized
if self._update_on_kvstore:
self._kvstore.save_optimizer_states(fname)
else:
with open(fname, 'wb') as fout:
fout.write(self._updater.get_states())
|
python
|
def save_optimizer_states(self, fname):
"""Saves optimizer (updater) state to a file.
Parameters
----------
fname : str
Path to output states file.
"""
assert self.optimizer_initialized
if self._update_on_kvstore:
self._kvstore.save_optimizer_states(fname)
else:
with open(fname, 'wb') as fout:
fout.write(self._updater.get_states())
|
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"self",
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"optimizer_initialized",
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":",
"self",
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"_kvstore",
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"save_optimizer_states",
"(",
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")",
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":",
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",",
"'wb'",
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"fout",
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"write",
"(",
"self",
".",
"_updater",
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"get_states",
"(",
")",
")"
] |
Saves optimizer (updater) state to a file.
Parameters
----------
fname : str
Path to output states file.
|
[
"Saves",
"optimizer",
"(",
"updater",
")",
"state",
"to",
"a",
"file",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/module.py#L793-L807
|
train
|
Saves optimizer state to a 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(0b100101 + 0o13) + chr(0b1101111) + chr(0b10 + 0o57) + '\x35' + '\063', 24876 - 24868), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(2335 - 2284) + chr(0b110010) + chr(1886 - 1838), 63434 - 63426), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b1011 + 0o54), 0o10), ehT0Px3KOsy9('\x30' + chr(3956 - 3845) + chr(802 - 749) + '\x33', 21822 - 21814), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110101) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1111 + 0o42) + chr(140 - 90) + chr(2531 - 2476), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(1605 - 1551) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(307 - 253) + chr(0b101110 + 0o2), 0o10), ehT0Px3KOsy9(chr(1983 - 1935) + chr(10009 - 9898) + '\x37' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1001 + 0o52) + chr(0b1111 + 0o50) + chr(0b100010 + 0o22), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\x35' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1010101 + 0o32) + chr(1291 - 1242) + chr(54) + '\067', 8), ehT0Px3KOsy9(chr(1022 - 974) + chr(111) + chr(2042 - 1992) + chr(317 - 262) + chr(51), 7802 - 7794), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(0b100011 + 0o22) + chr(54), 0b1000), ehT0Px3KOsy9(chr(980 - 932) + '\157' + chr(166 - 117) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001 + 0o2) + '\x37' + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2213 - 2163) + '\061' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\067' + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2259 - 2208) + chr(834 - 780) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11010 + 0o31) + chr(0b110 + 0o57) + chr(51), 47224 - 47216), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101101 + 0o2) + chr(0b100000 + 0o22) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(0b110001) + chr(0b111 + 0o54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(5118 - 5007) + chr(137 - 86) + chr(49) + chr(0b10111 + 0o33), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b101101 + 0o102) + chr(0b101101 + 0o5) + chr(52) + chr(48), 24490 - 24482), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(0b11010 + 0o34) + chr(0b1010 + 0o47), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111011 + 0o64) + chr(1761 - 1710) + '\x36' + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(12169 - 12058) + chr(0b101110 + 0o4) + '\x36' + chr(2132 - 2082), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(0b110111) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(805 - 757) + chr(0b1000 + 0o147) + '\061' + '\061' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100001 + 0o24) + chr(1788 - 1736), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101 + 0o142) + chr(51) + chr(0b110110) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110 + 0o54) + chr(49) + '\x30', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(303 - 254) + chr(1617 - 1566) + chr(0b101010 + 0o10), 27760 - 27752), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(1018 - 968), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b11001 + 0o27) + '\x32', 55303 - 55295), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(0b10001 + 0o42) + chr(977 - 924) + chr(0b101 + 0o54), 0b1000), ehT0Px3KOsy9(chr(851 - 803) + chr(0b1101111) + chr(50) + chr(0b110000) + chr(2232 - 2184), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + '\060' + chr(2020 - 1966), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(5239 - 5128) + '\062' + chr(574 - 524) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b110001 + 0o2) + '\060', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(11222 - 11111) + chr(53) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'E'), '\x64' + chr(0b1100101) + '\143' + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b101 + 0o157) + '\x66' + chr(0b101101) + chr(0b1011 + 0o55)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def NOVHlewTW2ug(oVre8I6UXc3b, t3WbF0Ae42Pu):
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xa4i\x1dmn5Ew\xcbP\x1a'), chr(0b1000000 + 0o44) + '\145' + chr(0b1010100 + 0o17) + chr(0b1101111) + chr(100) + chr(0b10010 + 0o123))(chr(0b10010 + 0o143) + chr(116) + chr(102) + chr(45) + chr(0b111000)))
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'%\x81I\x1an\x18:;W\xcb\x1b\x1d'), '\x64' + chr(101) + chr(0b0 + 0o143) + chr(7155 - 7044) + chr(0b1100100) + chr(101))('\165' + '\x74' + chr(0b1100110) + '\x2d' + '\x38')):
xafqLlk3kkUe(oVre8I6UXc3b._kvstore, xafqLlk3kkUe(SXOLrMavuUCe(b'\x18\xb1iNp8\x07\x04V\x91\x00\r\xde\x1cW\x8a\xfc\\\x80\x8e`'), chr(0b1100100) + chr(101) + chr(99) + chr(0b1101111) + chr(0b1100100) + '\145')('\165' + '\164' + chr(0b1100110) + chr(0b11110 + 0o17) + chr(2134 - 2078)))(t3WbF0Ae42Pu)
else:
with _fwkIVCGgtAN(t3WbF0Ae42Pu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c\xb2'), chr(6730 - 6630) + '\145' + '\x63' + '\x6f' + '\x64' + chr(0b1100101))('\x75' + '\164' + chr(0b1011001 + 0o15) + chr(45) + '\x38')) as jd8s7Uh8ek48:
xafqLlk3kkUe(jd8s7Uh8ek48, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c\xa2v_J'), '\x64' + chr(8954 - 8853) + chr(818 - 719) + chr(0b1101111) + chr(0b111011 + 0o51) + chr(0b1100101))(chr(0b1110100 + 0o1) + '\x74' + '\x66' + '\055' + chr(2321 - 2265)))(xafqLlk3kkUe(oVre8I6UXc3b._updater, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c\xb5kt\\#\x16\x04Z\x8f'), chr(0b1100100) + chr(0b1100101) + '\x63' + '\157' + '\x64' + chr(0b111011 + 0o52))(chr(0b1110101) + chr(12539 - 12423) + chr(6367 - 6265) + chr(45) + '\x38'))())
|
apache/incubator-mxnet
|
python/mxnet/module/module.py
|
Module.load_optimizer_states
|
def load_optimizer_states(self, fname):
"""Loads optimizer (updater) state from a file.
Parameters
----------
fname : str
Path to input states file.
"""
assert self.optimizer_initialized
if self._update_on_kvstore:
self._kvstore.load_optimizer_states(fname)
else:
self._updater.set_states(open(fname, 'rb').read())
|
python
|
def load_optimizer_states(self, fname):
"""Loads optimizer (updater) state from a file.
Parameters
----------
fname : str
Path to input states file.
"""
assert self.optimizer_initialized
if self._update_on_kvstore:
self._kvstore.load_optimizer_states(fname)
else:
self._updater.set_states(open(fname, 'rb').read())
|
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",",
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] |
Loads optimizer (updater) state from a file.
Parameters
----------
fname : str
Path to input states file.
|
[
"Loads",
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"updater",
")",
"state",
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/module.py#L809-L822
|
train
|
Loads optimizer ( updater ) state from a 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(0b10101 + 0o33) + chr(0b1101111) + '\061' + chr(0b1010 + 0o51), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\067' + chr(0b1010 + 0o47), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101001 + 0o6) + '\x32' + chr(1637 - 1585) + chr(0b110000 + 0o1), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b100101 + 0o112) + chr(876 - 826) + chr(2833 - 2779) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010 + 0o0) + chr(0b110110) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b110111) + chr(0b11111 + 0o25), 0b1000), ehT0Px3KOsy9(chr(1776 - 1728) + '\157' + '\x31' + chr(1359 - 1308) + chr(69 - 18), 15767 - 15759), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(49) + chr(51), 35892 - 35884), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b111 + 0o150) + chr(2584 - 2533) + chr(0b110010) + chr(584 - 530), 36151 - 36143), ehT0Px3KOsy9('\x30' + chr(7188 - 7077) + chr(1324 - 1275) + chr(0b110101) + chr(0b110110), 50260 - 50252), ehT0Px3KOsy9(chr(48) + chr(0b1100011 + 0o14) + chr(49) + chr(0b10101 + 0o33) + chr(2452 - 2402), 64427 - 64419), ehT0Px3KOsy9(chr(162 - 114) + chr(0b1000100 + 0o53) + '\x33' + '\x31' + chr(2262 - 2209), 10665 - 10657), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110110) + chr(703 - 648), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(1043 - 995) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + '\062' + '\x37' + chr(0b110111), 49544 - 49536), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(111) + chr(2100 - 2049) + chr(1077 - 1028), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2294 - 2240) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10647 - 10536) + '\x31' + '\x34' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1110 + 0o45) + '\067' + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(6258 - 6147) + chr(54) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011011 + 0o24) + '\x33' + chr(2351 - 2298), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1759 - 1709) + '\x34' + chr(0b110101), 24689 - 24681), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100111 + 0o12) + chr(0b110000 + 0o5) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100010 + 0o15) + '\x31' + chr(0b110011) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110100 + 0o73) + chr(0b11100 + 0o33) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + '\x30' + chr(144 - 94), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(2241 - 2189) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(0b10101 + 0o40) + chr(2058 - 2003), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101100 + 0o3) + chr(53) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(731 - 683) + chr(0b111111 + 0o60) + chr(0b110001) + chr(0b110011), 8), ehT0Px3KOsy9(chr(1113 - 1065) + '\x6f' + '\x32' + '\062' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1785 - 1737) + chr(111) + chr(51) + chr(0b10101 + 0o33) + chr(0b110011), 29398 - 29390), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(0b110101) + '\063', 17484 - 17476), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101 + 0o55) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(326 - 278) + chr(0b1010001 + 0o36) + '\062' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101 + 0o142) + '\062' + chr(1700 - 1647) + chr(0b1 + 0o66), 8), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(49) + chr(1932 - 1880) + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(3264 - 3153) + chr(49) + chr(0b110001) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\062', 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1000101 + 0o52) + chr(53) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'%'), chr(0b111011 + 0o51) + chr(0b1100101) + chr(0b1101 + 0o126) + '\x6f' + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1011110 + 0o10) + '\x2d' + chr(706 - 650)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Z_tYAi2ifgjv(oVre8I6UXc3b, t3WbF0Ae42Pu):
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'hM\xd7\x84\xf5E\x19\xfeZ\xe1W/'), '\144' + chr(9802 - 9701) + chr(0b1011010 + 0o11) + '\x6f' + chr(0b1000010 + 0o42) + chr(7458 - 7357))('\165' + '\164' + chr(0b1100110) + chr(1363 - 1318) + chr(0b1001 + 0o57)))
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'Eh\xf7\x83\xf63\x16\x80z\xe1\x1c('), chr(1380 - 1280) + chr(0b1000010 + 0o43) + chr(9678 - 9579) + chr(0b11 + 0o154) + chr(100) + '\145')(chr(0b1110101) + chr(10597 - 10481) + chr(102) + chr(0b10011 + 0o32) + '\070')):
xafqLlk3kkUe(oVre8I6UXc3b._kvstore, xafqLlk3kkUe(SXOLrMavuUCe(b'gV\xc0\xd6\xe8\x13+\xbf{\xbb\x078\xa8E\x18\xccmT\x15\x9dE'), chr(0b1000110 + 0o36) + '\x65' + chr(99) + chr(111) + chr(4793 - 4693) + chr(0b1100101))(chr(117) + chr(0b1001000 + 0o54) + chr(102) + chr(45) + chr(0b11111 + 0o31)))(t3WbF0Ae42Pu)
else:
xafqLlk3kkUe(oVre8I6UXc3b._updater, xafqLlk3kkUe(SXOLrMavuUCe(b'x\\\xd5\xed\xc4\x08:\xbfw\xa5'), '\x64' + chr(101) + chr(99) + '\157' + chr(100) + chr(0b1100101))(chr(9824 - 9707) + chr(0b1110100) + '\146' + chr(45) + chr(1074 - 1018)))(xafqLlk3kkUe(_fwkIVCGgtAN(t3WbF0Ae42Pu, xafqLlk3kkUe(SXOLrMavuUCe(b'y['), chr(0b1000011 + 0o41) + chr(0b1110 + 0o127) + chr(0b111110 + 0o45) + '\157' + chr(1984 - 1884) + chr(0b1100101))(chr(0b10100 + 0o141) + chr(5030 - 4914) + chr(0b111110 + 0o50) + chr(0b10100 + 0o31) + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b'^\x0f\xec\xdb\xe0\x0e3\xbeQ\xbf\\\x1b'), '\x64' + chr(5215 - 5114) + '\x63' + chr(111) + chr(0b1100100) + '\x65')(chr(269 - 152) + '\164' + chr(0b1100110) + '\x2d' + chr(0b1001 + 0o57)))())
|
apache/incubator-mxnet
|
python/mxnet/module/module.py
|
Module.prepare
|
def prepare(self, data_batch, sparse_row_id_fn=None):
'''Prepares the module for processing a data batch.
Usually involves switching bucket and reshaping.
For modules that contain `row_sparse` parameters in KVStore,
it prepares the `row_sparse` parameters based on the sparse_row_id_fn.
When KVStore is used to update parameters for multi-device or multi-machine training,
a copy of the parameters are stored in KVStore. Note that for `row_sparse` parameters,
the `update()` updates the copy of parameters in KVStore, but doesn't broadcast
the updated parameters to all devices / machines. The `prepare` function is used to
broadcast `row_sparse` parameters with the next batch of data.
Parameters
----------
data_batch : DataBatch
The current batch of data for forward computation.
sparse_row_id_fn : A callback function
The function takes `data_batch` as an input and returns a dict of
str -> NDArray. The resulting dict is used for pulling row_sparse
parameters from the kvstore, where the str key is the name of the param,
and the value is the row id of the param to pull.
'''
assert self.binded
if sparse_row_id_fn is not None:
if not self._kvstore or not self._update_on_kvstore:
warnings.warn(UserWarning("Parameters are not updated in the KVStore. "
"No need to call sparse_row_id_fn."))
else:
row_ids = sparse_row_id_fn(data_batch)
assert(isinstance(row_ids, dict)), "Expected dict output from sparse_row_id_fn"
for param_name, row_id in row_ids.items():
param_idx = self._exec_group.param_names.index(param_name)
param_val = self._exec_group.param_arrays[param_idx]
assert(isinstance(param_val, (tuple, list)))
if param_val[0].stype != 'row_sparse':
warnings.warn(UserWarning("%s.stype is not 'row_sparse'. No need to "
"perform row_sparse_pull." % param_name))
else:
self._kvstore.row_sparse_pull(param_name, param_val, row_ids=row_id,
priority=-param_idx)
|
python
|
def prepare(self, data_batch, sparse_row_id_fn=None):
'''Prepares the module for processing a data batch.
Usually involves switching bucket and reshaping.
For modules that contain `row_sparse` parameters in KVStore,
it prepares the `row_sparse` parameters based on the sparse_row_id_fn.
When KVStore is used to update parameters for multi-device or multi-machine training,
a copy of the parameters are stored in KVStore. Note that for `row_sparse` parameters,
the `update()` updates the copy of parameters in KVStore, but doesn't broadcast
the updated parameters to all devices / machines. The `prepare` function is used to
broadcast `row_sparse` parameters with the next batch of data.
Parameters
----------
data_batch : DataBatch
The current batch of data for forward computation.
sparse_row_id_fn : A callback function
The function takes `data_batch` as an input and returns a dict of
str -> NDArray. The resulting dict is used for pulling row_sparse
parameters from the kvstore, where the str key is the name of the param,
and the value is the row id of the param to pull.
'''
assert self.binded
if sparse_row_id_fn is not None:
if not self._kvstore or not self._update_on_kvstore:
warnings.warn(UserWarning("Parameters are not updated in the KVStore. "
"No need to call sparse_row_id_fn."))
else:
row_ids = sparse_row_id_fn(data_batch)
assert(isinstance(row_ids, dict)), "Expected dict output from sparse_row_id_fn"
for param_name, row_id in row_ids.items():
param_idx = self._exec_group.param_names.index(param_name)
param_val = self._exec_group.param_arrays[param_idx]
assert(isinstance(param_val, (tuple, list)))
if param_val[0].stype != 'row_sparse':
warnings.warn(UserWarning("%s.stype is not 'row_sparse'. No need to "
"perform row_sparse_pull." % param_name))
else:
self._kvstore.row_sparse_pull(param_name, param_val, row_ids=row_id,
priority=-param_idx)
|
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] |
Prepares the module for processing a data batch.
Usually involves switching bucket and reshaping.
For modules that contain `row_sparse` parameters in KVStore,
it prepares the `row_sparse` parameters based on the sparse_row_id_fn.
When KVStore is used to update parameters for multi-device or multi-machine training,
a copy of the parameters are stored in KVStore. Note that for `row_sparse` parameters,
the `update()` updates the copy of parameters in KVStore, but doesn't broadcast
the updated parameters to all devices / machines. The `prepare` function is used to
broadcast `row_sparse` parameters with the next batch of data.
Parameters
----------
data_batch : DataBatch
The current batch of data for forward computation.
sparse_row_id_fn : A callback function
The function takes `data_batch` as an input and returns a dict of
str -> NDArray. The resulting dict is used for pulling row_sparse
parameters from the kvstore, where the str key is the name of the param,
and the value is the row id of the param to pull.
|
[
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"for",
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"a",
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"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/module.py#L829-L870
|
train
|
Prepares the module for processing a data batch.
|
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(1419 - 1308) + chr(50) + chr(0b10100 + 0o35) + chr(0b10 + 0o56), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1010 + 0o47) + '\063' + chr(0b110011), 28596 - 28588), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\063' + chr(0b11100 + 0o30), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\x36' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b110100) + '\x35', 23439 - 23431), ehT0Px3KOsy9(chr(266 - 218) + '\157' + '\x32' + chr(0b110100) + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(8687 - 8576) + '\x32' + chr(0b1011 + 0o54) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + chr(0b110110) + chr(625 - 570), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b110101) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(11713 - 11602) + '\x31' + chr(0b101011 + 0o7) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(697 - 648) + chr(0b100111 + 0o15) + '\062', 0b1000), ehT0Px3KOsy9(chr(1699 - 1651) + chr(111) + chr(0b110001) + chr(0b10000 + 0o43) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001110 + 0o41) + chr(50) + chr(0b110111) + chr(1032 - 977), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101101 + 0o5) + chr(53) + chr(881 - 833), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + '\062' + chr(50) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + chr(526 - 476) + chr(1001 - 952) + chr(1034 - 983), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(55) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(766 - 711) + '\x34', 23423 - 23415), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + '\063' + chr(0b110011) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1000111 + 0o50) + '\x31' + chr(0b110111 + 0o0) + chr(2979 - 2924), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1000 + 0o51) + chr(0b110111) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101101 + 0o4) + '\x34' + chr(48), 47398 - 47390), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\067' + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + '\x36' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1264 - 1153) + chr(0b110011) + chr(0b101010 + 0o10) + chr(719 - 668), 2628 - 2620), ehT0Px3KOsy9(chr(135 - 87) + chr(0b0 + 0o157) + chr(1653 - 1603) + '\x31' + chr(0b10101 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(5779 - 5668) + chr(2227 - 2178) + chr(0b101 + 0o61) + chr(2262 - 2211), 21056 - 21048), ehT0Px3KOsy9(chr(48) + chr(0b110000 + 0o77) + chr(938 - 889) + chr(52) + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\x34' + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100001 + 0o16) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + '\x31' + chr(1711 - 1659) + chr(0b101100 + 0o13), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(2323 - 2274) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100000 + 0o25) + '\061', 41098 - 41090), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(934 - 881) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11001 + 0o31) + chr(0b110010) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(705 - 654) + chr(48) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(53) + chr(0b110111), 8), ehT0Px3KOsy9(chr(170 - 122) + '\x6f' + chr(0b110010) + chr(0b110001) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(0b110010) + chr(49) + '\x32', 22697 - 22689)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(8745 - 8634) + chr(0b11001 + 0o34) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6'), chr(0b1100100) + '\x65' + '\143' + chr(0b1101111) + chr(0b1100100) + chr(6997 - 6896))('\165' + '\x74' + chr(0b1011101 + 0o11) + chr(1401 - 1356) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def zsAR7f5NaLC2(oVre8I6UXc3b, idr841wg0ysW, jtzeJ65yNorm=None):
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfe\x0e\x8f\x80\xa9\xd2\x88t\xa3g5-'), chr(7187 - 7087) + chr(101) + chr(99) + chr(0b1101111) + chr(0b110010 + 0o62) + chr(0b101100 + 0o71))(chr(0b1110101) + '\x74' + '\x66' + chr(0b100010 + 0o13) + chr(0b111000)))
if jtzeJ65yNorm is not None:
if not xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1\x19\x8f\xc4\xd3\xc2\xd1\x07\x8b7\x03+'), chr(1663 - 1563) + chr(8159 - 8058) + chr(0b1100011) + chr(0b1100101 + 0o12) + chr(6798 - 6698) + chr(0b11000 + 0o115))(chr(155 - 38) + chr(116) + chr(0b1100110) + chr(1484 - 1439) + chr(0b11 + 0o65))) or not xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\n\x8a\xc0\xa4\xeb\xf0|\x86a\x107'), chr(0b110110 + 0o56) + '\145' + chr(99) + chr(111) + '\144' + chr(101))(chr(0b1110101) + '\164' + '\x66' + chr(0b11101 + 0o20) + chr(56))):
xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\x1f\x99\x9f\xab\xe6\xdcU\xa8\x18)0'), chr(0b1100100) + chr(0b110 + 0o137) + chr(4157 - 4058) + '\x6f' + chr(100) + chr(0b11000 + 0o115))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(0b101101) + '\x38'))(hOkXjmluKZfJ(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8:\xae\x90\x88\xc1\xc9R\x9c%B<\xcd\xcd\xb0\xe5\x97\x08\xff\n\n\x04[r\x17\xb7\xae\x1a\x0bBp\x0f.\t\xe4\xc4\x96\xdb\xe2\xf8\xedu\xfc\xbf\x8a\x84\xd3R\x8b2B)\xd0\x88\xf3\xea\x94\x10\xff\x0c\n\x01Hu\x17\x8c\xfc\x1c\x12=m\x03\x14O\xc1\xbc'), chr(100) + chr(101) + chr(9560 - 9461) + chr(1984 - 1873) + '\144' + chr(3285 - 3184))('\x75' + chr(0b1101111 + 0o5) + chr(7383 - 7281) + '\055' + chr(56))))
else:
dnz_kPmWveA4 = jtzeJ65yNorm(idr841wg0ysW)
assert PlSM16l2KDPD(dnz_kPmWveA4, wLqBDw8l0eIm), xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd#\xac\x94\x86\xd0\xd8S\xce2\x0b>\xcb\x88\xff\xfe\x8c\x0c\xaa\x0bZ\x06Hi\x1f\xf3\xfd\x03\x04\x10w\x02\x14[\xc0\xe5\x9a\xc6\xe9\xd5\xee5'), '\x64' + '\x65' + chr(0b10100 + 0o117) + chr(111) + '\144' + '\x65')('\x75' + chr(0b10011 + 0o141) + chr(102) + chr(45) + '\070')
for (LwwoV1LmMhGU, i5x7vQ8iubH7) in xafqLlk3kkUe(dnz_kPmWveA4, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6!\xaa\x94\xac\xfe\x8e~\x82\x05*d'), chr(1818 - 1718) + chr(5758 - 5657) + chr(4995 - 4896) + '\157' + chr(100) + chr(9208 - 9107))('\x75' + chr(5467 - 5351) + chr(639 - 537) + '\x2d' + chr(0b10010 + 0o46)))():
_JRzN51LVVUs = oVre8I6UXc3b._exec_group.param_names.XdowRbJKZWL9(LwwoV1LmMhGU)
tTj8L3SyvdbF = oVre8I6UXc3b._exec_group.IFj0xeHCaGrO[_JRzN51LVVUs]
assert PlSM16l2KDPD(tTj8L3SyvdbF, (KNyTy8rYcwji, YyaZ4tpXu4lf))
if xafqLlk3kkUe(tTj8L3SyvdbF[ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110000), ord("\x08"))], xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb/\xa5\x81\x80'), chr(100) + chr(2364 - 2263) + '\143' + chr(0b1100100 + 0o13) + chr(0b1100100) + chr(0b111101 + 0o50))('\165' + chr(116) + chr(102) + chr(0b1010 + 0o43) + chr(56))) != xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa4\xab\xae\x96\xd4\xdcE\x9d3'), '\x64' + chr(101) + '\143' + chr(10072 - 9961) + '\144' + chr(101))(chr(117) + chr(12687 - 12571) + '\x66' + chr(0b101101) + '\070'):
xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\x1f\x99\x9f\xab\xe6\xdcU\xa8\x18)0'), chr(0b1000011 + 0o41) + '\145' + chr(99) + chr(373 - 262) + '\144' + chr(0b1100101))(chr(0b1010001 + 0o44) + '\164' + chr(3571 - 3469) + '\055' + chr(0b10000 + 0o50)))(hOkXjmluKZfJ(xafqLlk3kkUe(SXOLrMavuUCe(b'\xad(\xf2\x82\x91\xdd\xcdR\xce?\x11}\xd1\xc7\xe4\xab\xdf\x0e\xb0\x08%\x13Jg\x00\xa0\xebTKBJ\x08kG\xca\xf7\xa1\x8f\xf9\xe5\xa8+\xb9\x83\x83\xcb\xcfZ\xce$\r*\xe0\xdb\xe0\xea\x8a\x0f\xba \n\x15Vj\\'), chr(0b1100100) + chr(0b1100000 + 0o5) + '\143' + chr(111) + chr(0b111110 + 0o46) + chr(3062 - 2961))(chr(0b1110101) + chr(116) + chr(102) + '\055' + chr(582 - 526)) % LwwoV1LmMhGU))
else:
xafqLlk3kkUe(oVre8I6UXc3b._kvstore, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa4\xab\xae\x96\xd4\xdcE\x9d3=-\xca\xc4\xfc'), '\x64' + '\145' + chr(99) + chr(0b110 + 0o151) + chr(1034 - 934) + chr(0b11010 + 0o113))('\x75' + '\x74' + '\146' + chr(1060 - 1015) + chr(836 - 780)))(LwwoV1LmMhGU, tTj8L3SyvdbF, row_ids=i5x7vQ8iubH7, priority=-_JRzN51LVVUs)
|
apache/incubator-mxnet
|
python/mxnet/ndarray/random.py
|
_random_helper
|
def _random_helper(random, sampler, params, shape, dtype, ctx, out, kwargs):
"""Helper function for random generators."""
if isinstance(params[0], NDArray):
for i in params[1:]:
assert isinstance(i, NDArray), \
"Distribution parameters must all have the same type, but got " \
"both %s and %s."%(type(params[0]), type(i))
return sampler(*params, shape=shape, dtype=dtype, out=out, **kwargs)
elif isinstance(params[0], numeric_types):
if ctx is None:
ctx = current_context()
if shape is _Null and out is None:
shape = 1
for i in params[1:]:
assert isinstance(i, numeric_types), \
"Distribution parameters must all have the same type, but got " \
"both %s and %s."%(type(params[0]), type(i))
return random(*params, shape=shape, dtype=dtype, ctx=ctx, out=out, **kwargs)
raise ValueError("Distribution parameters must be either NDArray or numbers, "
"but got %s."%type(params[0]))
|
python
|
def _random_helper(random, sampler, params, shape, dtype, ctx, out, kwargs):
"""Helper function for random generators."""
if isinstance(params[0], NDArray):
for i in params[1:]:
assert isinstance(i, NDArray), \
"Distribution parameters must all have the same type, but got " \
"both %s and %s."%(type(params[0]), type(i))
return sampler(*params, shape=shape, dtype=dtype, out=out, **kwargs)
elif isinstance(params[0], numeric_types):
if ctx is None:
ctx = current_context()
if shape is _Null and out is None:
shape = 1
for i in params[1:]:
assert isinstance(i, numeric_types), \
"Distribution parameters must all have the same type, but got " \
"both %s and %s."%(type(params[0]), type(i))
return random(*params, shape=shape, dtype=dtype, ctx=ctx, out=out, **kwargs)
raise ValueError("Distribution parameters must be either NDArray or numbers, "
"but got %s."%type(params[0]))
|
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] |
Helper function for random generators.
|
[
"Helper",
"function",
"for",
"random",
"generators",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/random.py#L31-L51
|
train
|
Helper function for random generators.
|
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(49) + chr(0b110000) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(5577 - 5466) + '\x37' + chr(0b100100 + 0o23), 0o10), ehT0Px3KOsy9('\060' + chr(11743 - 11632) + chr(51) + chr(2193 - 2145) + '\067', 31774 - 31766), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(52) + chr(106 - 58), 64178 - 64170), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + chr(0b110001) + chr(1841 - 1786) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(0b110000) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(1784 - 1733) + chr(0b110101) + chr(51), 31742 - 31734), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(1670 - 1616) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(121 - 73) + '\x6f' + chr(1962 - 1909) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10 + 0o155) + chr(0b1110 + 0o43) + '\062' + '\067', 54202 - 54194), ehT0Px3KOsy9('\060' + chr(0b10111 + 0o130) + '\x33' + '\067' + chr(2464 - 2412), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110010 + 0o75) + chr(0b100111 + 0o13) + chr(1304 - 1254) + chr(780 - 728), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b110000 + 0o77) + chr(0b110010) + chr(2044 - 1996) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(4947 - 4836) + '\063' + chr(55) + '\066', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(631 - 583) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1001111 + 0o40) + chr(49) + chr(55), 37092 - 37084), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\x33' + chr(1681 - 1627), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010110 + 0o31) + chr(0b110011) + chr(0b0 + 0o60) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(0b110011) + chr(222 - 174) + '\x36', 8), ehT0Px3KOsy9('\060' + chr(207 - 96) + '\061' + chr(0b11101 + 0o23) + chr(0b110100), 12349 - 12341), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + '\063' + chr(49) + chr(0b100 + 0o61), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b100001 + 0o116) + chr(0b110011) + '\062' + '\060', 890 - 882), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10111 + 0o35) + chr(2271 - 2217), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(50), 0o10), ehT0Px3KOsy9(chr(213 - 165) + chr(111) + chr(2379 - 2328) + chr(55) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b110010 + 0o75) + chr(0b110001) + '\x34' + chr(0b10100 + 0o41), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\064' + chr(1043 - 993), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1011000 + 0o27) + chr(66 - 15) + chr(0b110100) + chr(0b101100 + 0o11), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11111 + 0o22) + '\061' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(7648 - 7537) + '\062' + '\x34' + '\060', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2188 - 2137) + chr(52) + chr(378 - 330), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(0b110011) + chr(0b110100), 3923 - 3915), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100 + 0o55) + '\064' + '\063', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(390 - 339) + '\x30' + '\x36', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101011 + 0o6) + chr(2914 - 2859) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\x32' + chr(2410 - 2360), 36761 - 36753), ehT0Px3KOsy9('\060' + '\157' + chr(0b11010 + 0o27) + chr(0b110110) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + '\063' + chr(0b110011) + chr(0b1101 + 0o52), 62400 - 62392)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1000011 + 0o54) + chr(2411 - 2358) + chr(1991 - 1943), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'o'), chr(100) + chr(101) + '\x63' + chr(0b1101111) + chr(0b101101 + 0o67) + '\145')(chr(117) + chr(0b0 + 0o164) + '\146' + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def zEgpS9Zk7oLa(drxw09AdRdci, FhX1mYZXXcHE, nEbJZ4wfte2w, nauYfLglTpcb, jSV9IKnemH7K, oM3jLo753XfX, UkrMp_I0RDmo, M8EIoTs2GJXE):
if PlSM16l2KDPD(nEbJZ4wfte2w[ehT0Px3KOsy9(chr(48) + chr(111) + '\x30', 0o10)], GdqFjMbtKL7s):
for WVxHKyX45z_L in nEbJZ4wfte2w[ehT0Px3KOsy9(chr(199 - 151) + chr(0b1100111 + 0o10) + chr(49), 0b1000):]:
assert PlSM16l2KDPD(WVxHKyX45z_L, GdqFjMbtKL7s), xafqLlk3kkUe(SXOLrMavuUCe(b'\x05V\xb4\xd4a\x12\xa4\x9e\x87D8\x92\xb4\xf7\x9f7n\xf3\xa7\xb2!\xbf\xa3\x06\x7f\x88\x16V\xc5,o\xcc\xc0\xb4\x02\xb0\x19r\x07\xb7$\x1f\xb4\xc1~\x1e\xe6\x9f\x8a]2\xd0\xb4\xe5\x8b1/\xf9\xad\xb2d\xaf\xbfRz\xdd@Q\xc5,m\xc4\xc0\xf9\x10\xe8'), '\144' + '\x65' + '\x63' + '\x6f' + chr(0b110101 + 0o57) + '\x65')(chr(117) + chr(375 - 259) + chr(5445 - 5343) + '\x2d' + chr(0b110101 + 0o3)) % (wmQmyeWBmUpv(nEbJZ4wfte2w[ehT0Px3KOsy9('\x30' + chr(111) + '\060', 8)]), wmQmyeWBmUpv(WVxHKyX45z_L))
return FhX1mYZXXcHE(*nEbJZ4wfte2w, shape=nauYfLglTpcb, dtype=jSV9IKnemH7K, out=UkrMp_I0RDmo, **M8EIoTs2GJXE)
elif PlSM16l2KDPD(nEbJZ4wfte2w[ehT0Px3KOsy9('\060' + '\x6f' + chr(48), 8)], _oZ7ToMS5xAg):
if oM3jLo753XfX is None:
oM3jLo753XfX = XCj8K5DCp8y0()
if nauYfLglTpcb is GTZITWJXusph and UkrMp_I0RDmo is None:
nauYfLglTpcb = ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49), 8)
for WVxHKyX45z_L in nEbJZ4wfte2w[ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(11745 - 11634) + chr(1208 - 1159), 8):]:
assert PlSM16l2KDPD(WVxHKyX45z_L, _oZ7ToMS5xAg), xafqLlk3kkUe(SXOLrMavuUCe(b'\x05V\xb4\xd4a\x12\xa4\x9e\x87D8\x92\xb4\xf7\x9f7n\xf3\xa7\xb2!\xbf\xa3\x06\x7f\x88\x16V\xc5,o\xcc\xc0\xb4\x02\xb0\x19r\x07\xb7$\x1f\xb4\xc1~\x1e\xe6\x9f\x8a]2\xd0\xb4\xe5\x8b1/\xf9\xad\xb2d\xaf\xbfRz\xdd@Q\xc5,m\xc4\xc0\xf9\x10\xe8'), chr(0b1100100) + chr(101) + chr(0b1000 + 0o133) + chr(111) + '\144' + chr(101))('\165' + chr(0b1110100) + chr(102) + chr(0b10010 + 0o33) + chr(1331 - 1275)) % (wmQmyeWBmUpv(nEbJZ4wfte2w[ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + chr(0b110000), 8)]), wmQmyeWBmUpv(WVxHKyX45z_L))
return drxw09AdRdci(*nEbJZ4wfte2w, shape=nauYfLglTpcb, dtype=jSV9IKnemH7K, ctx=oM3jLo753XfX, out=UkrMp_I0RDmo, **M8EIoTs2GJXE)
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x05V\xb4\xd4a\x12\xa4\x9e\x87D8\x92\xb4\xf7\x9f7n\xf3\xa7\xb2!\xbf\xa3\x06\x7f\x88\x16V\xc5/f\x80\x85\xb5\x17\xae\x19 S\x91\x05~\xb5\xd2r\x02\xe6\x84\x81\r9\x89\xf9\xe5\x9b7|\xb2\xe2\xa41\xb9\xf0A}\x89E\x07\x96c'), chr(8632 - 8532) + '\145' + '\x63' + '\157' + chr(6525 - 6425) + chr(3760 - 3659))(chr(0b1110101) + chr(116) + chr(102) + chr(0b101101) + chr(1494 - 1438)) % wmQmyeWBmUpv(nEbJZ4wfte2w[ehT0Px3KOsy9(chr(761 - 713) + '\x6f' + chr(598 - 550), 8)]))
|
apache/incubator-mxnet
|
python/mxnet/ndarray/random.py
|
uniform
|
def uniform(low=0, high=1, shape=_Null, dtype=_Null, ctx=None, out=None, **kwargs):
"""Draw random samples from a uniform distribution.
Samples are uniformly distributed over the half-open interval *[low, high)*
(includes *low*, but excludes *high*).
Parameters
----------
low : float or NDArray, optional
Lower boundary of the output interval. All values generated will be
greater than or equal to low. The default value is 0.
high : float or NDArray, optional
Upper boundary of the output interval. All values generated will be
less than high. The default value is 1.0.
shape : int or tuple of ints, optional
The number of samples to draw. If shape is, e.g., `(m, n)` and `low` and
`high` are scalars, output shape will be `(m, n)`. If `low` and `high`
are NDArrays with shape, e.g., `(x, y)`, then output will have shape
`(x, y, m, n)`, where `m*n` samples are drawn for each `[low, high)` pair.
dtype : {'float16', 'float32', 'float64'}, optional
Data type of output samples. Default is 'float32'
ctx : Context, optional
Device context of output. Default is current context. Overridden by
`low.context` when `low` is an NDArray.
out : NDArray, optional
Store output to an existing NDArray.
Returns
-------
NDArray
An NDArray of type `dtype`. If input `shape` has shape, e.g.,
`(m, n)` and `low` and `high` are scalars, output shape will be `(m, n)`.
If `low` and `high` are NDArrays with shape, e.g., `(x, y)`, then the
return NDArray will have shape `(x, y, m, n)`, where `m*n` uniformly distributed
samples are drawn for each `[low, high)` pair.
Examples
--------
>>> mx.nd.random.uniform(0, 1)
[ 0.54881352]
<NDArray 1 @cpu(0)
>>> mx.nd.random.uniform(0, 1, ctx=mx.gpu(0))
[ 0.92514056]
<NDArray 1 @gpu(0)>
>>> mx.nd.random.uniform(-1, 1, shape=(2,))
[ 0.71589124 0.08976638]
<NDArray 2 @cpu(0)>
>>> low = mx.nd.array([1,2,3])
>>> high = mx.nd.array([2,3,4])
>>> mx.nd.random.uniform(low, high, shape=2)
[[ 1.78653979 1.93707538]
[ 2.01311183 2.37081361]
[ 3.30491424 3.69977832]]
<NDArray 3x2 @cpu(0)>
"""
return _random_helper(_internal._random_uniform, _internal._sample_uniform,
[low, high], shape, dtype, ctx, out, kwargs)
|
python
|
def uniform(low=0, high=1, shape=_Null, dtype=_Null, ctx=None, out=None, **kwargs):
"""Draw random samples from a uniform distribution.
Samples are uniformly distributed over the half-open interval *[low, high)*
(includes *low*, but excludes *high*).
Parameters
----------
low : float or NDArray, optional
Lower boundary of the output interval. All values generated will be
greater than or equal to low. The default value is 0.
high : float or NDArray, optional
Upper boundary of the output interval. All values generated will be
less than high. The default value is 1.0.
shape : int or tuple of ints, optional
The number of samples to draw. If shape is, e.g., `(m, n)` and `low` and
`high` are scalars, output shape will be `(m, n)`. If `low` and `high`
are NDArrays with shape, e.g., `(x, y)`, then output will have shape
`(x, y, m, n)`, where `m*n` samples are drawn for each `[low, high)` pair.
dtype : {'float16', 'float32', 'float64'}, optional
Data type of output samples. Default is 'float32'
ctx : Context, optional
Device context of output. Default is current context. Overridden by
`low.context` when `low` is an NDArray.
out : NDArray, optional
Store output to an existing NDArray.
Returns
-------
NDArray
An NDArray of type `dtype`. If input `shape` has shape, e.g.,
`(m, n)` and `low` and `high` are scalars, output shape will be `(m, n)`.
If `low` and `high` are NDArrays with shape, e.g., `(x, y)`, then the
return NDArray will have shape `(x, y, m, n)`, where `m*n` uniformly distributed
samples are drawn for each `[low, high)` pair.
Examples
--------
>>> mx.nd.random.uniform(0, 1)
[ 0.54881352]
<NDArray 1 @cpu(0)
>>> mx.nd.random.uniform(0, 1, ctx=mx.gpu(0))
[ 0.92514056]
<NDArray 1 @gpu(0)>
>>> mx.nd.random.uniform(-1, 1, shape=(2,))
[ 0.71589124 0.08976638]
<NDArray 2 @cpu(0)>
>>> low = mx.nd.array([1,2,3])
>>> high = mx.nd.array([2,3,4])
>>> mx.nd.random.uniform(low, high, shape=2)
[[ 1.78653979 1.93707538]
[ 2.01311183 2.37081361]
[ 3.30491424 3.69977832]]
<NDArray 3x2 @cpu(0)>
"""
return _random_helper(_internal._random_uniform, _internal._sample_uniform,
[low, high], shape, dtype, ctx, out, kwargs)
|
[
"def",
"uniform",
"(",
"low",
"=",
"0",
",",
"high",
"=",
"1",
",",
"shape",
"=",
"_Null",
",",
"dtype",
"=",
"_Null",
",",
"ctx",
"=",
"None",
",",
"out",
"=",
"None",
",",
"*",
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")",
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"_random_helper",
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"_random_uniform",
",",
"_internal",
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"_sample_uniform",
",",
"[",
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"high",
"]",
",",
"shape",
",",
"dtype",
",",
"ctx",
",",
"out",
",",
"kwargs",
")"
] |
Draw random samples from a uniform distribution.
Samples are uniformly distributed over the half-open interval *[low, high)*
(includes *low*, but excludes *high*).
Parameters
----------
low : float or NDArray, optional
Lower boundary of the output interval. All values generated will be
greater than or equal to low. The default value is 0.
high : float or NDArray, optional
Upper boundary of the output interval. All values generated will be
less than high. The default value is 1.0.
shape : int or tuple of ints, optional
The number of samples to draw. If shape is, e.g., `(m, n)` and `low` and
`high` are scalars, output shape will be `(m, n)`. If `low` and `high`
are NDArrays with shape, e.g., `(x, y)`, then output will have shape
`(x, y, m, n)`, where `m*n` samples are drawn for each `[low, high)` pair.
dtype : {'float16', 'float32', 'float64'}, optional
Data type of output samples. Default is 'float32'
ctx : Context, optional
Device context of output. Default is current context. Overridden by
`low.context` when `low` is an NDArray.
out : NDArray, optional
Store output to an existing NDArray.
Returns
-------
NDArray
An NDArray of type `dtype`. If input `shape` has shape, e.g.,
`(m, n)` and `low` and `high` are scalars, output shape will be `(m, n)`.
If `low` and `high` are NDArrays with shape, e.g., `(x, y)`, then the
return NDArray will have shape `(x, y, m, n)`, where `m*n` uniformly distributed
samples are drawn for each `[low, high)` pair.
Examples
--------
>>> mx.nd.random.uniform(0, 1)
[ 0.54881352]
<NDArray 1 @cpu(0)
>>> mx.nd.random.uniform(0, 1, ctx=mx.gpu(0))
[ 0.92514056]
<NDArray 1 @gpu(0)>
>>> mx.nd.random.uniform(-1, 1, shape=(2,))
[ 0.71589124 0.08976638]
<NDArray 2 @cpu(0)>
>>> low = mx.nd.array([1,2,3])
>>> high = mx.nd.array([2,3,4])
>>> mx.nd.random.uniform(low, high, shape=2)
[[ 1.78653979 1.93707538]
[ 2.01311183 2.37081361]
[ 3.30491424 3.69977832]]
<NDArray 3x2 @cpu(0)>
|
[
"Draw",
"random",
"samples",
"from",
"a",
"uniform",
"distribution",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/random.py#L54-L110
|
train
|
Draw random samples from a uniform distribution.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + chr(0b101001 + 0o14) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\066' + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(7697 - 7586) + chr(0b100010 + 0o21) + chr(0b100000 + 0o27) + chr(0b110111 + 0o0), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x34' + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b111011 + 0o64) + '\x31' + '\x30' + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b10000 + 0o41) + '\x37', 13181 - 13173), ehT0Px3KOsy9('\060' + '\157' + chr(0b10101 + 0o36) + '\x34' + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(52), 0o10), ehT0Px3KOsy9(chr(1278 - 1230) + '\157' + chr(0b100001 + 0o20) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(1502 - 1454) + '\x6f' + chr(1322 - 1272) + '\063' + '\061', 23751 - 23743), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(0b10010 + 0o44) + '\x36', 0o10), ehT0Px3KOsy9(chr(1095 - 1047) + chr(8973 - 8862) + chr(51) + '\x35' + '\067', 0b1000), ehT0Px3KOsy9(chr(1803 - 1755) + chr(0b111010 + 0o65) + chr(0b1111 + 0o44) + '\060' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + '\067' + chr(1405 - 1357), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1487 - 1438) + chr(1306 - 1256) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(51) + chr(0b11011 + 0o34), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + chr(0b110010) + chr(51) + '\063', 19214 - 19206), ehT0Px3KOsy9('\x30' + chr(6809 - 6698) + chr(1555 - 1504) + chr(48) + chr(0b100 + 0o54), 7507 - 7499), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b1010 + 0o46) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + '\060' + '\x34', 27611 - 27603), ehT0Px3KOsy9(chr(0b110000) + chr(7141 - 7030) + '\x31' + '\x30' + '\x30', 37777 - 37769), ehT0Px3KOsy9(chr(0b110000) + chr(3580 - 3469) + '\061' + '\x36' + chr(785 - 731), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\067' + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(0b100100 + 0o113) + '\x32' + chr(0b110001 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + '\061' + chr(623 - 569), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1111 + 0o140) + chr(55) + '\x30', 8), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(51) + '\065' + chr(55), 8), ehT0Px3KOsy9(chr(48) + chr(0b11011 + 0o124) + chr(0b10100 + 0o35) + chr(0b110110) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7120 - 7009) + chr(0b110011) + '\x32' + chr(1623 - 1575), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b11 + 0o56) + chr(1296 - 1241), 0o10), ehT0Px3KOsy9(chr(1719 - 1671) + chr(12101 - 11990) + chr(2460 - 2409) + '\x32' + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(10063 - 9952) + chr(0b101101 + 0o6) + '\062' + chr(50), 0b1000), ehT0Px3KOsy9(chr(563 - 515) + '\157' + chr(0b110101) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(51) + '\063', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(1658 - 1610) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x34' + chr(0b1000 + 0o56), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\x33' + chr(0b110 + 0o61), 8), ehT0Px3KOsy9(chr(48) + chr(10870 - 10759) + chr(486 - 437) + chr(182 - 134) + '\x30', 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(1456 - 1405) + '\x32', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101100 + 0o11) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x02'), '\x64' + chr(101) + '\x63' + '\157' + chr(100) + chr(101))('\165' + '\x74' + '\146' + chr(1543 - 1498) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def u6rANUROY0xa(OFpkgP3q6det=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1011 + 0o45), 13215 - 13207), LeZQSeHIwFgX=ehT0Px3KOsy9('\x30' + chr(0b1001111 + 0o40) + '\061', ord("\x08")), nauYfLglTpcb=GTZITWJXusph, jSV9IKnemH7K=GTZITWJXusph, oM3jLo753XfX=None, UkrMp_I0RDmo=None, **M8EIoTs2GJXE):
return zEgpS9Zk7oLa(xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'sA\x9eKx("\xb8aa\xf0\x90\x80\xb0U'), '\144' + '\x65' + chr(99) + chr(0b1101001 + 0o6) + '\x64' + chr(0b1001100 + 0o31))('\165' + chr(7631 - 7515) + '\146' + chr(0b1111 + 0o36) + '\070')), xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b's@\x9eHl+*\xb8aa\xf0\x90\x80\xb0U'), chr(0b1010011 + 0o21) + chr(0b1100101) + chr(99) + chr(0b111110 + 0o61) + chr(3452 - 3352) + '\x65')(chr(0b1110101 + 0o0) + chr(10640 - 10524) + chr(102) + chr(0b101101) + chr(0b111000))), [OFpkgP3q6det, LeZQSeHIwFgX], nauYfLglTpcb, jSV9IKnemH7K, oM3jLo753XfX, UkrMp_I0RDmo, M8EIoTs2GJXE)
|
apache/incubator-mxnet
|
python/mxnet/ndarray/random.py
|
normal
|
def normal(loc=0, scale=1, shape=_Null, dtype=_Null, ctx=None, out=None, **kwargs):
"""Draw random samples from a normal (Gaussian) distribution.
Samples are distributed according to a normal distribution parametrized
by *loc* (mean) and *scale* (standard deviation).
Parameters
----------
loc : float or NDArray, optional
Mean (centre) of the distribution.
scale : float or NDArray, optional
Standard deviation (spread or width) of the distribution.
shape : int or tuple of ints, optional
The number of samples to draw. If shape is, e.g., `(m, n)` and `loc` and
`scale` are scalars, output shape will be `(m, n)`. If `loc` and `scale`
are NDArrays with shape, e.g., `(x, y)`, then output will have shape
`(x, y, m, n)`, where `m*n` samples are drawn for each `[loc, scale)` pair.
dtype : {'float16', 'float32', 'float64'}, optional
Data type of output samples. Default is 'float32'
ctx : Context, optional
Device context of output. Default is current context. Overridden by
`loc.context` when `loc` is an NDArray.
out : NDArray, optional
Store output to an existing NDArray.
Returns
-------
NDArray
An NDArray of type `dtype`. If input `shape` has shape, e.g., `(m, n)` and
`loc` and `scale` are scalars, output shape will be `(m, n)`. If `loc` and
`scale` are NDArrays with shape, e.g., `(x, y)`, then output will have shape
`(x, y, m, n)`, where `m*n` samples are drawn for each `[loc, scale)` pair.
Examples
--------
>>> mx.nd.random.normal(0, 1)
[ 2.21220636]
<NDArray 1 @cpu(0)>
>>> mx.nd.random.normal(0, 1, ctx=mx.gpu(0))
[ 0.29253659]
<NDArray 1 @gpu(0)>
>>> mx.nd.random.normal(-1, 1, shape=(2,))
[-0.2259962 -0.51619542]
<NDArray 2 @cpu(0)>
>>> loc = mx.nd.array([1,2,3])
>>> scale = mx.nd.array([2,3,4])
>>> mx.nd.random.normal(loc, scale, shape=2)
[[ 0.55912292 3.19566321]
[ 1.91728961 2.47706747]
[ 2.79666662 5.44254589]]
<NDArray 3x2 @cpu(0)>
"""
return _random_helper(_internal._random_normal, _internal._sample_normal,
[loc, scale], shape, dtype, ctx, out, kwargs)
|
python
|
def normal(loc=0, scale=1, shape=_Null, dtype=_Null, ctx=None, out=None, **kwargs):
"""Draw random samples from a normal (Gaussian) distribution.
Samples are distributed according to a normal distribution parametrized
by *loc* (mean) and *scale* (standard deviation).
Parameters
----------
loc : float or NDArray, optional
Mean (centre) of the distribution.
scale : float or NDArray, optional
Standard deviation (spread or width) of the distribution.
shape : int or tuple of ints, optional
The number of samples to draw. If shape is, e.g., `(m, n)` and `loc` and
`scale` are scalars, output shape will be `(m, n)`. If `loc` and `scale`
are NDArrays with shape, e.g., `(x, y)`, then output will have shape
`(x, y, m, n)`, where `m*n` samples are drawn for each `[loc, scale)` pair.
dtype : {'float16', 'float32', 'float64'}, optional
Data type of output samples. Default is 'float32'
ctx : Context, optional
Device context of output. Default is current context. Overridden by
`loc.context` when `loc` is an NDArray.
out : NDArray, optional
Store output to an existing NDArray.
Returns
-------
NDArray
An NDArray of type `dtype`. If input `shape` has shape, e.g., `(m, n)` and
`loc` and `scale` are scalars, output shape will be `(m, n)`. If `loc` and
`scale` are NDArrays with shape, e.g., `(x, y)`, then output will have shape
`(x, y, m, n)`, where `m*n` samples are drawn for each `[loc, scale)` pair.
Examples
--------
>>> mx.nd.random.normal(0, 1)
[ 2.21220636]
<NDArray 1 @cpu(0)>
>>> mx.nd.random.normal(0, 1, ctx=mx.gpu(0))
[ 0.29253659]
<NDArray 1 @gpu(0)>
>>> mx.nd.random.normal(-1, 1, shape=(2,))
[-0.2259962 -0.51619542]
<NDArray 2 @cpu(0)>
>>> loc = mx.nd.array([1,2,3])
>>> scale = mx.nd.array([2,3,4])
>>> mx.nd.random.normal(loc, scale, shape=2)
[[ 0.55912292 3.19566321]
[ 1.91728961 2.47706747]
[ 2.79666662 5.44254589]]
<NDArray 3x2 @cpu(0)>
"""
return _random_helper(_internal._random_normal, _internal._sample_normal,
[loc, scale], shape, dtype, ctx, out, kwargs)
|
[
"def",
"normal",
"(",
"loc",
"=",
"0",
",",
"scale",
"=",
"1",
",",
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"=",
"_Null",
",",
"dtype",
"=",
"_Null",
",",
"ctx",
"=",
"None",
",",
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"=",
"None",
",",
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"*",
"kwargs",
")",
":",
"return",
"_random_helper",
"(",
"_internal",
".",
"_random_normal",
",",
"_internal",
".",
"_sample_normal",
",",
"[",
"loc",
",",
"scale",
"]",
",",
"shape",
",",
"dtype",
",",
"ctx",
",",
"out",
",",
"kwargs",
")"
] |
Draw random samples from a normal (Gaussian) distribution.
Samples are distributed according to a normal distribution parametrized
by *loc* (mean) and *scale* (standard deviation).
Parameters
----------
loc : float or NDArray, optional
Mean (centre) of the distribution.
scale : float or NDArray, optional
Standard deviation (spread or width) of the distribution.
shape : int or tuple of ints, optional
The number of samples to draw. If shape is, e.g., `(m, n)` and `loc` and
`scale` are scalars, output shape will be `(m, n)`. If `loc` and `scale`
are NDArrays with shape, e.g., `(x, y)`, then output will have shape
`(x, y, m, n)`, where `m*n` samples are drawn for each `[loc, scale)` pair.
dtype : {'float16', 'float32', 'float64'}, optional
Data type of output samples. Default is 'float32'
ctx : Context, optional
Device context of output. Default is current context. Overridden by
`loc.context` when `loc` is an NDArray.
out : NDArray, optional
Store output to an existing NDArray.
Returns
-------
NDArray
An NDArray of type `dtype`. If input `shape` has shape, e.g., `(m, n)` and
`loc` and `scale` are scalars, output shape will be `(m, n)`. If `loc` and
`scale` are NDArrays with shape, e.g., `(x, y)`, then output will have shape
`(x, y, m, n)`, where `m*n` samples are drawn for each `[loc, scale)` pair.
Examples
--------
>>> mx.nd.random.normal(0, 1)
[ 2.21220636]
<NDArray 1 @cpu(0)>
>>> mx.nd.random.normal(0, 1, ctx=mx.gpu(0))
[ 0.29253659]
<NDArray 1 @gpu(0)>
>>> mx.nd.random.normal(-1, 1, shape=(2,))
[-0.2259962 -0.51619542]
<NDArray 2 @cpu(0)>
>>> loc = mx.nd.array([1,2,3])
>>> scale = mx.nd.array([2,3,4])
>>> mx.nd.random.normal(loc, scale, shape=2)
[[ 0.55912292 3.19566321]
[ 1.91728961 2.47706747]
[ 2.79666662 5.44254589]]
<NDArray 3x2 @cpu(0)>
|
[
"Draw",
"random",
"samples",
"from",
"a",
"normal",
"(",
"Gaussian",
")",
"distribution",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/random.py#L113-L167
|
train
|
Draw random samples from a normal 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('\x30' + chr(4965 - 4854) + chr(2187 - 2138) + chr(0b110110) + chr(48), 36189 - 36181), ehT0Px3KOsy9('\060' + chr(10537 - 10426) + chr(50) + chr(55) + chr(50), 0b1000), ehT0Px3KOsy9(chr(129 - 81) + chr(0b100000 + 0o117) + '\x33' + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10100 + 0o36) + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(0b10010 + 0o135) + chr(0b110111) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b110110) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(49) + chr(0b10100 + 0o35), 59062 - 59054), ehT0Px3KOsy9('\x30' + chr(0b1010110 + 0o31) + '\x33' + '\x36' + chr(180 - 132), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101100 + 0o11) + chr(0b110000 + 0o5), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b100 + 0o56) + chr(48) + '\067', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b10001 + 0o42) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(9523 - 9412) + chr(1965 - 1916) + chr(1470 - 1419) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + chr(50) + chr(0b111 + 0o55) + chr(577 - 526), 0o10), ehT0Px3KOsy9(chr(1350 - 1302) + chr(111) + chr(0b110010) + '\x30' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(529 - 481) + chr(5291 - 5180) + chr(0b101010 + 0o11) + chr(0b100000 + 0o27) + chr(0b1111 + 0o43), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001 + 0o0) + '\062' + '\064', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1001001 + 0o46) + '\062' + '\x30' + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1546 - 1493) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(11130 - 11019) + chr(0b11100 + 0o30) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + '\064' + chr(1218 - 1165), 27128 - 27120), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(780 - 731) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2427 - 2377) + chr(0b110001) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10101 + 0o132) + '\x32' + chr(55) + '\067', 0o10), ehT0Px3KOsy9(chr(859 - 811) + chr(10728 - 10617) + '\062' + chr(53) + chr(0b10010 + 0o44), 22507 - 22499), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(0b100000 + 0o21) + chr(55), 39935 - 39927), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b110010) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11010 + 0o31) + chr(0b0 + 0o63) + chr(1602 - 1551), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\x33' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + '\x33' + chr(1677 - 1623), 44097 - 44089), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + chr(0b110010) + chr(53) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(7995 - 7884) + chr(2346 - 2297) + chr(1152 - 1101) + chr(925 - 873), 0o10), ehT0Px3KOsy9(chr(577 - 529) + chr(5912 - 5801) + '\x31' + chr(51) + chr(1485 - 1437), 31272 - 31264), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + '\063' + chr(1084 - 1036) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10 + 0o60) + chr(54) + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(773 - 721) + chr(2119 - 2068), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\065' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(3700 - 3589) + chr(220 - 168) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101011 + 0o7) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b110110) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + chr(4114 - 4003) + chr(0b100000 + 0o21) + chr(0b1110 + 0o46) + chr(0b100101 + 0o22), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1347 - 1299) + '\157' + '\065' + chr(0b1000 + 0o50), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'^'), chr(100) + chr(0b1111 + 0o126) + chr(0b1 + 0o142) + chr(0b1000010 + 0o55) + '\x64' + chr(1627 - 1526))('\x75' + chr(9454 - 9338) + chr(102) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def FgnYxsl3VAhV(MmVY7Id_ODNA=ehT0Px3KOsy9('\x30' + chr(0b101111 + 0o100) + chr(0b100 + 0o54), 55026 - 55018), xjPLimsZRgb9=ehT0Px3KOsy9('\060' + chr(111) + '\061', 51471 - 51463), nauYfLglTpcb=GTZITWJXusph, jSV9IKnemH7K=GTZITWJXusph, oM3jLo753XfX=None, UkrMp_I0RDmo=None, **M8EIoTs2GJXE):
return zEgpS9Zk7oLa(xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'/\xc8~xY\xdb\xe4\xafC\xe8\xee3\xc2\xed'), '\x64' + '\x65' + chr(0b1011010 + 0o11) + chr(111) + chr(0b11 + 0o141) + chr(101))(chr(0b1010110 + 0o37) + chr(0b1011 + 0o151) + '\x66' + '\055' + chr(0b111000))), xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'/\xc9~{M\xd8\xec\xafC\xe8\xee3\xc2\xed'), chr(0b1100100) + chr(101) + chr(0b101100 + 0o67) + chr(0b1000010 + 0o55) + '\144' + '\145')(chr(0b1110101) + chr(0b10101 + 0o137) + '\x66' + '\x2d' + chr(0b11101 + 0o33))), [MmVY7Id_ODNA, xjPLimsZRgb9], nauYfLglTpcb, jSV9IKnemH7K, oM3jLo753XfX, UkrMp_I0RDmo, M8EIoTs2GJXE)
|
apache/incubator-mxnet
|
python/mxnet/ndarray/random.py
|
randn
|
def randn(*shape, **kwargs):
"""Draw random samples from a normal (Gaussian) distribution.
Samples are distributed according to a normal distribution parametrized
by *loc* (mean) and *scale* (standard deviation).
Parameters
----------
loc : float or NDArray
Mean (centre) of the distribution.
scale : float or NDArray
Standard deviation (spread or width) of the distribution.
shape : int or tuple of ints
The number of samples to draw. If shape is, e.g., `(m, n)` and `loc` and
`scale` are scalars, output shape will be `(m, n)`. If `loc` and `scale`
are NDArrays with shape, e.g., `(x, y)`, then output will have shape
`(x, y, m, n)`, where `m*n` samples are drawn for each `[loc, scale)` pair.
dtype : {'float16', 'float32', 'float64'}
Data type of output samples. Default is 'float32'
ctx : Context
Device context of output. Default is current context. Overridden by
`loc.context` when `loc` is an NDArray.
out : NDArray
Store output to an existing NDArray.
Returns
-------
NDArray
If input `shape` has shape, e.g., `(m, n)` and `loc` and `scale` are scalars, output
shape will be `(m, n)`. If `loc` and `scale` are NDArrays with shape, e.g., `(x, y)`,
then output will have shape `(x, y, m, n)`, where `m*n` samples are drawn for
each `[loc, scale)` pair.
Examples
--------
>>> mx.nd.random.randn()
2.21220636
<NDArray 1 @cpu(0)>
>>> mx.nd.random.randn(2, 2)
[[-1.856082 -1.9768796 ]
[-0.20801921 0.2444218 ]]
<NDArray 2x2 @cpu(0)>
>>> mx.nd.random.randn(2, 3, loc=5, scale=1)
[[4.19962 4.8311777 5.936328 ]
[5.357444 5.7793283 3.9896927]]
<NDArray 2x3 @cpu(0)>
"""
loc = kwargs.pop('loc', 0)
scale = kwargs.pop('scale', 1)
dtype = kwargs.pop('dtype', _Null)
ctx = kwargs.pop('ctx', None)
out = kwargs.pop('out', None)
assert isinstance(loc, (int, float))
assert isinstance(scale, (int, float))
return _random_helper(_internal._random_normal, _internal._sample_normal,
[loc, scale], shape, dtype, ctx, out, kwargs)
|
python
|
def randn(*shape, **kwargs):
"""Draw random samples from a normal (Gaussian) distribution.
Samples are distributed according to a normal distribution parametrized
by *loc* (mean) and *scale* (standard deviation).
Parameters
----------
loc : float or NDArray
Mean (centre) of the distribution.
scale : float or NDArray
Standard deviation (spread or width) of the distribution.
shape : int or tuple of ints
The number of samples to draw. If shape is, e.g., `(m, n)` and `loc` and
`scale` are scalars, output shape will be `(m, n)`. If `loc` and `scale`
are NDArrays with shape, e.g., `(x, y)`, then output will have shape
`(x, y, m, n)`, where `m*n` samples are drawn for each `[loc, scale)` pair.
dtype : {'float16', 'float32', 'float64'}
Data type of output samples. Default is 'float32'
ctx : Context
Device context of output. Default is current context. Overridden by
`loc.context` when `loc` is an NDArray.
out : NDArray
Store output to an existing NDArray.
Returns
-------
NDArray
If input `shape` has shape, e.g., `(m, n)` and `loc` and `scale` are scalars, output
shape will be `(m, n)`. If `loc` and `scale` are NDArrays with shape, e.g., `(x, y)`,
then output will have shape `(x, y, m, n)`, where `m*n` samples are drawn for
each `[loc, scale)` pair.
Examples
--------
>>> mx.nd.random.randn()
2.21220636
<NDArray 1 @cpu(0)>
>>> mx.nd.random.randn(2, 2)
[[-1.856082 -1.9768796 ]
[-0.20801921 0.2444218 ]]
<NDArray 2x2 @cpu(0)>
>>> mx.nd.random.randn(2, 3, loc=5, scale=1)
[[4.19962 4.8311777 5.936328 ]
[5.357444 5.7793283 3.9896927]]
<NDArray 2x3 @cpu(0)>
"""
loc = kwargs.pop('loc', 0)
scale = kwargs.pop('scale', 1)
dtype = kwargs.pop('dtype', _Null)
ctx = kwargs.pop('ctx', None)
out = kwargs.pop('out', None)
assert isinstance(loc, (int, float))
assert isinstance(scale, (int, float))
return _random_helper(_internal._random_normal, _internal._sample_normal,
[loc, scale], shape, dtype, ctx, out, kwargs)
|
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Draw random samples from a normal (Gaussian) distribution.
Samples are distributed according to a normal distribution parametrized
by *loc* (mean) and *scale* (standard deviation).
Parameters
----------
loc : float or NDArray
Mean (centre) of the distribution.
scale : float or NDArray
Standard deviation (spread or width) of the distribution.
shape : int or tuple of ints
The number of samples to draw. If shape is, e.g., `(m, n)` and `loc` and
`scale` are scalars, output shape will be `(m, n)`. If `loc` and `scale`
are NDArrays with shape, e.g., `(x, y)`, then output will have shape
`(x, y, m, n)`, where `m*n` samples are drawn for each `[loc, scale)` pair.
dtype : {'float16', 'float32', 'float64'}
Data type of output samples. Default is 'float32'
ctx : Context
Device context of output. Default is current context. Overridden by
`loc.context` when `loc` is an NDArray.
out : NDArray
Store output to an existing NDArray.
Returns
-------
NDArray
If input `shape` has shape, e.g., `(m, n)` and `loc` and `scale` are scalars, output
shape will be `(m, n)`. If `loc` and `scale` are NDArrays with shape, e.g., `(x, y)`,
then output will have shape `(x, y, m, n)`, where `m*n` samples are drawn for
each `[loc, scale)` pair.
Examples
--------
>>> mx.nd.random.randn()
2.21220636
<NDArray 1 @cpu(0)>
>>> mx.nd.random.randn(2, 2)
[[-1.856082 -1.9768796 ]
[-0.20801921 0.2444218 ]]
<NDArray 2x2 @cpu(0)>
>>> mx.nd.random.randn(2, 3, loc=5, scale=1)
[[4.19962 4.8311777 5.936328 ]
[5.357444 5.7793283 3.9896927]]
<NDArray 2x3 @cpu(0)>
|
[
"Draw",
"random",
"samples",
"from",
"a",
"normal",
"(",
"Gaussian",
")",
"distribution",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/random.py#L170-L226
|
train
|
Draw random samples from a normal distribution parametrized
.
|
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(50) + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x34' + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(10601 - 10490) + chr(53) + chr(2144 - 2095), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\066' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1110 + 0o141) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(572 - 521) + chr(0b110000) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b1100 + 0o50) + '\x35', 29674 - 29666), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(10033 - 9922) + chr(956 - 906) + chr(0b101111 + 0o10), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(0b110001) + chr(49) + chr(0b10000 + 0o41), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\x35' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(5467 - 5356) + chr(0b110011) + chr(339 - 288) + chr(1509 - 1456), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6404 - 6293) + chr(0b110001) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11111 + 0o120) + chr(0b111 + 0o54), 8), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b10011 + 0o134) + chr(0b100 + 0o56) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(512 - 462) + '\x32' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(614 - 566) + chr(111) + chr(51) + '\060' + '\x32', 56719 - 56711), ehT0Px3KOsy9(chr(2067 - 2019) + chr(6228 - 6117) + chr(0b11111 + 0o24) + '\060' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100011 + 0o114) + '\x32' + '\x36', 47297 - 47289), ehT0Px3KOsy9('\x30' + chr(0b1000010 + 0o55) + chr(580 - 529) + chr(50), 4371 - 4363), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\062' + chr(1623 - 1571), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100000 + 0o117) + chr(0b11001 + 0o31), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001111 + 0o40) + chr(0b110001) + chr(0b1101 + 0o51) + '\061', 35014 - 35006), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2270 - 2221) + chr(0b110101) + chr(0b1101 + 0o52), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b10110 + 0o34) + chr(54), 10508 - 10500), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\x34' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(0b110011) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1233 - 1185) + chr(0b1101111) + chr(0b110001 + 0o0) + '\064' + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + '\x32' + chr(2497 - 2442), 58293 - 58285), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\062' + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(0b110000) + '\x34', 3952 - 3944), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b110010) + '\x35', 12154 - 12146), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(51) + chr(0b10110 + 0o32), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(2008 - 1960) + chr(55), 39501 - 39493), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(2084 - 1973) + chr(0b101010 + 0o7) + '\067' + '\066', 0b1000), ehT0Px3KOsy9(chr(1450 - 1402) + chr(0b1101111) + '\063' + '\067' + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x34' + '\x36', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101110 + 0o5) + '\x35' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(1534 - 1486) + chr(0b10010 + 0o135) + chr(0b110010) + chr(0b101 + 0o53) + chr(0b1 + 0o63), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + '\065' + chr(1147 - 1099), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b':'), chr(0b1011 + 0o131) + chr(0b1001111 + 0o26) + '\x63' + chr(0b11001 + 0o126) + '\144' + chr(0b1100101))('\x75' + chr(0b1110100) + chr(102) + chr(963 - 918) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def RN7NuBwRdJul(*nauYfLglTpcb, **M8EIoTs2GJXE):
MmVY7Id_ODNA = M8EIoTs2GJXE.pop(xafqLlk3kkUe(SXOLrMavuUCe(b'xIJ'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(1533 - 1433) + '\145')(chr(117) + chr(6456 - 6340) + chr(0b1100100 + 0o2) + chr(0b101100 + 0o1) + chr(410 - 354)), ehT0Px3KOsy9(chr(1298 - 1250) + chr(0b110000 + 0o77) + chr(0b110000), 38294 - 38286))
xjPLimsZRgb9 = M8EIoTs2GJXE.pop(xafqLlk3kkUe(SXOLrMavuUCe(b'gEH\x1cf'), chr(9005 - 8905) + chr(0b1100101) + chr(7654 - 7555) + '\x6f' + chr(0b101010 + 0o72) + '\145')(chr(117) + '\164' + chr(0b1100110) + chr(0b11010 + 0o23) + chr(56)), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + chr(0b110001), 16237 - 16229))
jSV9IKnemH7K = M8EIoTs2GJXE.pop(xafqLlk3kkUe(SXOLrMavuUCe(b'pRP\x00f'), '\x64' + chr(0b0 + 0o145) + chr(362 - 263) + chr(111) + chr(0b1100100) + chr(101))(chr(3667 - 3550) + chr(0b1110100) + '\x66' + chr(1345 - 1300) + chr(56)), GTZITWJXusph)
oM3jLo753XfX = M8EIoTs2GJXE.pop(xafqLlk3kkUe(SXOLrMavuUCe(b'wRQ'), chr(0b100001 + 0o103) + chr(0b1000 + 0o135) + chr(0b1100011) + chr(4207 - 4096) + chr(0b1100100) + chr(101))(chr(0b10010 + 0o143) + chr(0b1010 + 0o152) + '\146' + chr(45) + '\070'), None)
UkrMp_I0RDmo = M8EIoTs2GJXE.pop(xafqLlk3kkUe(SXOLrMavuUCe(b'{S]'), '\x64' + chr(4839 - 4738) + chr(99) + chr(111) + '\x64' + '\145')(chr(0b1101000 + 0o15) + '\x74' + '\x66' + '\x2d' + '\x38'), None)
assert PlSM16l2KDPD(MmVY7Id_ODNA, (ehT0Px3KOsy9, kkSX4ccExqw4))
assert PlSM16l2KDPD(xjPLimsZRgb9, (ehT0Px3KOsy9, kkSX4ccExqw4))
return zEgpS9Zk7oLa(xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b"KTH\x1eg\xac\x08H'\x87\xaf`by"), '\144' + '\x65' + chr(8564 - 8465) + chr(0b1101111) + '\x64' + chr(0b1100101))('\x75' + chr(116) + chr(0b1100110) + chr(0b101101) + '\x38')), xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b"KUH\x1ds\xaf\x00H'\x87\xaf`by"), chr(0b1001100 + 0o30) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(100) + '\145')(chr(117) + '\x74' + '\146' + chr(0b10010 + 0o33) + chr(0b111000))), [MmVY7Id_ODNA, xjPLimsZRgb9], nauYfLglTpcb, jSV9IKnemH7K, oM3jLo753XfX, UkrMp_I0RDmo, M8EIoTs2GJXE)
|
apache/incubator-mxnet
|
python/mxnet/ndarray/random.py
|
exponential
|
def exponential(scale=1, shape=_Null, dtype=_Null, ctx=None, out=None, **kwargs):
r"""Draw samples from an exponential distribution.
Its probability density function is
.. math:: f(x; \frac{1}{\beta}) = \frac{1}{\beta} \exp(-\frac{x}{\beta}),
for x > 0 and 0 elsewhere. \beta is the scale parameter, which is the
inverse of the rate parameter \lambda = 1/\beta.
Parameters
----------
scale : float or NDArray, optional
The scale parameter, \beta = 1/\lambda.
shape : int or tuple of ints, optional
The number of samples to draw. If shape is, e.g., `(m, n)` and `scale` is
a scalar, output shape will be `(m, n)`. If `scale`
is an NDArray with shape, e.g., `(x, y)`, then output will have shape
`(x, y, m, n)`, where `m*n` samples are drawn for each entry in `scale`.
dtype : {'float16', 'float32', 'float64'}, optional
Data type of output samples. Default is 'float32'
ctx : Context, optional
Device context of output. Default is current context. Overridden by
`scale.context` when `scale` is an NDArray.
out : NDArray, optional
Store output to an existing NDArray.
Returns
-------
NDArray
If input `shape` has shape, e.g., `(m, n)` and `scale` is a scalar, output shape will
be `(m, n)`. If `scale` is an NDArray with shape, e.g., `(x, y)`, then `output`
will have shape `(x, y, m, n)`, where `m*n` samples are drawn for each entry in scale.
Examples
--------
>>> mx.nd.random.exponential(1)
[ 0.79587454]
<NDArray 1 @cpu(0)>
>>> mx.nd.random.exponential(1, shape=(2,))
[ 0.89856035 1.25593066]
<NDArray 2 @cpu(0)>
>>> scale = mx.nd.array([1,2,3])
>>> mx.nd.random.exponential(scale, shape=2)
[[ 0.41063145 0.42140478]
[ 2.59407091 10.12439728]
[ 2.42544937 1.14260709]]
<NDArray 3x2 @cpu(0)>
"""
return _random_helper(_internal._random_exponential, _internal._sample_exponential,
[1.0/scale], shape, dtype, ctx, out, kwargs)
|
python
|
def exponential(scale=1, shape=_Null, dtype=_Null, ctx=None, out=None, **kwargs):
r"""Draw samples from an exponential distribution.
Its probability density function is
.. math:: f(x; \frac{1}{\beta}) = \frac{1}{\beta} \exp(-\frac{x}{\beta}),
for x > 0 and 0 elsewhere. \beta is the scale parameter, which is the
inverse of the rate parameter \lambda = 1/\beta.
Parameters
----------
scale : float or NDArray, optional
The scale parameter, \beta = 1/\lambda.
shape : int or tuple of ints, optional
The number of samples to draw. If shape is, e.g., `(m, n)` and `scale` is
a scalar, output shape will be `(m, n)`. If `scale`
is an NDArray with shape, e.g., `(x, y)`, then output will have shape
`(x, y, m, n)`, where `m*n` samples are drawn for each entry in `scale`.
dtype : {'float16', 'float32', 'float64'}, optional
Data type of output samples. Default is 'float32'
ctx : Context, optional
Device context of output. Default is current context. Overridden by
`scale.context` when `scale` is an NDArray.
out : NDArray, optional
Store output to an existing NDArray.
Returns
-------
NDArray
If input `shape` has shape, e.g., `(m, n)` and `scale` is a scalar, output shape will
be `(m, n)`. If `scale` is an NDArray with shape, e.g., `(x, y)`, then `output`
will have shape `(x, y, m, n)`, where `m*n` samples are drawn for each entry in scale.
Examples
--------
>>> mx.nd.random.exponential(1)
[ 0.79587454]
<NDArray 1 @cpu(0)>
>>> mx.nd.random.exponential(1, shape=(2,))
[ 0.89856035 1.25593066]
<NDArray 2 @cpu(0)>
>>> scale = mx.nd.array([1,2,3])
>>> mx.nd.random.exponential(scale, shape=2)
[[ 0.41063145 0.42140478]
[ 2.59407091 10.12439728]
[ 2.42544937 1.14260709]]
<NDArray 3x2 @cpu(0)>
"""
return _random_helper(_internal._random_exponential, _internal._sample_exponential,
[1.0/scale], shape, dtype, ctx, out, kwargs)
|
[
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",",
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",",
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"_Null",
",",
"ctx",
"=",
"None",
",",
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")",
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"return",
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"]",
",",
"shape",
",",
"dtype",
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"ctx",
",",
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",",
"kwargs",
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] |
r"""Draw samples from an exponential distribution.
Its probability density function is
.. math:: f(x; \frac{1}{\beta}) = \frac{1}{\beta} \exp(-\frac{x}{\beta}),
for x > 0 and 0 elsewhere. \beta is the scale parameter, which is the
inverse of the rate parameter \lambda = 1/\beta.
Parameters
----------
scale : float or NDArray, optional
The scale parameter, \beta = 1/\lambda.
shape : int or tuple of ints, optional
The number of samples to draw. If shape is, e.g., `(m, n)` and `scale` is
a scalar, output shape will be `(m, n)`. If `scale`
is an NDArray with shape, e.g., `(x, y)`, then output will have shape
`(x, y, m, n)`, where `m*n` samples are drawn for each entry in `scale`.
dtype : {'float16', 'float32', 'float64'}, optional
Data type of output samples. Default is 'float32'
ctx : Context, optional
Device context of output. Default is current context. Overridden by
`scale.context` when `scale` is an NDArray.
out : NDArray, optional
Store output to an existing NDArray.
Returns
-------
NDArray
If input `shape` has shape, e.g., `(m, n)` and `scale` is a scalar, output shape will
be `(m, n)`. If `scale` is an NDArray with shape, e.g., `(x, y)`, then `output`
will have shape `(x, y, m, n)`, where `m*n` samples are drawn for each entry in scale.
Examples
--------
>>> mx.nd.random.exponential(1)
[ 0.79587454]
<NDArray 1 @cpu(0)>
>>> mx.nd.random.exponential(1, shape=(2,))
[ 0.89856035 1.25593066]
<NDArray 2 @cpu(0)>
>>> scale = mx.nd.array([1,2,3])
>>> mx.nd.random.exponential(scale, shape=2)
[[ 0.41063145 0.42140478]
[ 2.59407091 10.12439728]
[ 2.42544937 1.14260709]]
<NDArray 3x2 @cpu(0)>
|
[
"r",
"Draw",
"samples",
"from",
"an",
"exponential",
"distribution",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/random.py#L279-L329
|
train
|
r Draws samples from an exponential 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(48) + chr(0b1101111) + chr(0b110001) + chr(0b10001 + 0o41) + '\065', 0o10), ehT0Px3KOsy9(chr(2046 - 1998) + chr(4765 - 4654) + chr(50) + '\063' + '\x30', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(2520 - 2468), ord("\x08")), ehT0Px3KOsy9(chr(1461 - 1413) + '\157' + chr(0b110011) + '\x32' + chr(0b100100 + 0o14), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\063' + chr(860 - 812), 0o10), ehT0Px3KOsy9(chr(375 - 327) + '\x6f' + chr(0b110010) + chr(1815 - 1762) + '\065', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(52), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1518 - 1468) + chr(53) + chr(0b11101 + 0o27), 53655 - 53647), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(50) + chr(365 - 315) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x36' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101101 + 0o2) + '\x36' + chr(0b101000 + 0o11), 8), ehT0Px3KOsy9('\x30' + chr(312 - 201) + '\061' + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2390 - 2339) + '\x31' + '\x30', 58261 - 58253), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + '\063' + chr(0b0 + 0o65) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1200 - 1151) + '\062' + chr(0b101010 + 0o7), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(52) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(877 - 829) + '\x6f' + chr(854 - 800) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(205 - 94) + chr(2807 - 2754) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b11011 + 0o30), 0o10), ehT0Px3KOsy9('\x30' + chr(10805 - 10694) + chr(0b101110 + 0o4) + '\063', 14596 - 14588), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b11110 + 0o121) + chr(0b110010) + chr(1205 - 1151) + chr(0b100101 + 0o21), 59428 - 59420), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(54) + chr(0b110111), 41933 - 41925), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(997 - 943) + chr(54), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\x36' + chr(553 - 502), 3009 - 3001), ehT0Px3KOsy9(chr(0b110000) + chr(0b110010 + 0o75) + '\062' + chr(48) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110000 + 0o2) + chr(1428 - 1379) + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(8593 - 8482) + chr(157 - 107) + chr(0b10100 + 0o37) + '\067', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2133 - 2082) + chr(0b100111 + 0o17) + '\063', 8), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b11111 + 0o25) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + '\066' + chr(0b0 + 0o65), 0b1000), ehT0Px3KOsy9(chr(2041 - 1993) + '\x6f' + chr(0b110011) + '\066' + chr(0b101101 + 0o5), 0b1000), ehT0Px3KOsy9('\060' + chr(3888 - 3777) + chr(0b110011) + chr(1046 - 993), 26645 - 26637), ehT0Px3KOsy9(chr(206 - 158) + '\157' + chr(2418 - 2364) + chr(0b10011 + 0o43), 54121 - 54113), ehT0Px3KOsy9(chr(1889 - 1841) + '\157' + chr(0b11111 + 0o24) + chr(0b1111 + 0o43) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11001 + 0o126) + '\061' + chr(0b110100) + chr(0b10000 + 0o41), 8), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(0b110001) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(50) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1791 - 1740) + chr(52) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10010 + 0o37) + '\061' + '\065', 23598 - 23590)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + chr(53) + chr(0b100 + 0o54), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'{'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b100100 + 0o113) + chr(100) + '\x65')('\165' + '\164' + chr(9637 - 9535) + chr(0b101101) + chr(368 - 312)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def w37kjNegUQkK(xjPLimsZRgb9=ehT0Px3KOsy9(chr(1941 - 1893) + '\x6f' + '\x31', 21411 - 21403), nauYfLglTpcb=GTZITWJXusph, jSV9IKnemH7K=GTZITWJXusph, oM3jLo753XfX=None, UkrMp_I0RDmo=None, **M8EIoTs2GJXE):
return zEgpS9Zk7oLa(xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'\n\xeam\xbe<\xc2a\xf3\xf4\x7fA^c\xad\x80%\x08VD'), chr(0b100000 + 0o104) + chr(0b1100101) + chr(7549 - 7450) + '\x6f' + chr(100) + chr(4372 - 4271))('\165' + chr(0b1101001 + 0o13) + chr(0b1100110) + '\x2d' + chr(1073 - 1017))), xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'\n\xebm\xbd(\xc1i\xf3\xf4\x7fA^c\xad\x80%\x08VD'), '\x64' + '\145' + chr(0b1100011) + chr(8749 - 8638) + chr(0b1100100) + chr(101))(chr(117) + chr(116) + '\x66' + chr(0b101101) + chr(0b111000))), [1.0 / xjPLimsZRgb9], nauYfLglTpcb, jSV9IKnemH7K, oM3jLo753XfX, UkrMp_I0RDmo, M8EIoTs2GJXE)
|
apache/incubator-mxnet
|
python/mxnet/ndarray/random.py
|
gamma
|
def gamma(alpha=1, beta=1, shape=_Null, dtype=_Null, ctx=None, out=None, **kwargs):
"""Draw random samples from a gamma distribution.
Samples are distributed according to a gamma distribution parametrized
by *alpha* (shape) and *beta* (scale).
Parameters
----------
alpha : float or NDArray, optional
The shape of the gamma distribution. Should be greater than zero.
beta : float or NDArray, optional
The scale of the gamma distribution. Should be greater than zero.
Default is equal to 1.
shape : int or tuple of ints, optional
The number of samples to draw. If shape is, e.g., `(m, n)` and `alpha` and
`beta` are scalars, output shape will be `(m, n)`. If `alpha` and `beta`
are NDArrays with shape, e.g., `(x, y)`, then output will have shape
`(x, y, m, n)`, where `m*n` samples are drawn for each `[alpha, beta)` pair.
dtype : {'float16', 'float32', 'float64'}, optional
Data type of output samples. Default is 'float32'
ctx : Context, optional
Device context of output. Default is current context. Overridden by
`alpha.context` when `alpha` is an NDArray.
out : NDArray, optional
Store output to an existing NDArray.
Returns
-------
NDArray
If input `shape` has shape, e.g., `(m, n)` and `alpha` and `beta` are scalars, output
shape will be `(m, n)`. If `alpha` and `beta` are NDArrays with shape, e.g.,
`(x, y)`, then output will have shape `(x, y, m, n)`, where `m*n` samples are
drawn for each `[alpha, beta)` pair.
Examples
--------
>>> mx.nd.random.gamma(1, 1)
[ 1.93308783]
<NDArray 1 @cpu(0)>
>>> mx.nd.random.gamma(1, 1, shape=(2,))
[ 0.48216391 2.09890771]
<NDArray 2 @cpu(0)>
>>> alpha = mx.nd.array([1,2,3])
>>> beta = mx.nd.array([2,3,4])
>>> mx.nd.random.gamma(alpha, beta, shape=2)
[[ 3.24343276 0.94137681]
[ 3.52734375 0.45568955]
[ 14.26264095 14.0170126 ]]
<NDArray 3x2 @cpu(0)>
"""
return _random_helper(_internal._random_gamma, _internal._sample_gamma,
[alpha, beta], shape, dtype, ctx, out, kwargs)
|
python
|
def gamma(alpha=1, beta=1, shape=_Null, dtype=_Null, ctx=None, out=None, **kwargs):
"""Draw random samples from a gamma distribution.
Samples are distributed according to a gamma distribution parametrized
by *alpha* (shape) and *beta* (scale).
Parameters
----------
alpha : float or NDArray, optional
The shape of the gamma distribution. Should be greater than zero.
beta : float or NDArray, optional
The scale of the gamma distribution. Should be greater than zero.
Default is equal to 1.
shape : int or tuple of ints, optional
The number of samples to draw. If shape is, e.g., `(m, n)` and `alpha` and
`beta` are scalars, output shape will be `(m, n)`. If `alpha` and `beta`
are NDArrays with shape, e.g., `(x, y)`, then output will have shape
`(x, y, m, n)`, where `m*n` samples are drawn for each `[alpha, beta)` pair.
dtype : {'float16', 'float32', 'float64'}, optional
Data type of output samples. Default is 'float32'
ctx : Context, optional
Device context of output. Default is current context. Overridden by
`alpha.context` when `alpha` is an NDArray.
out : NDArray, optional
Store output to an existing NDArray.
Returns
-------
NDArray
If input `shape` has shape, e.g., `(m, n)` and `alpha` and `beta` are scalars, output
shape will be `(m, n)`. If `alpha` and `beta` are NDArrays with shape, e.g.,
`(x, y)`, then output will have shape `(x, y, m, n)`, where `m*n` samples are
drawn for each `[alpha, beta)` pair.
Examples
--------
>>> mx.nd.random.gamma(1, 1)
[ 1.93308783]
<NDArray 1 @cpu(0)>
>>> mx.nd.random.gamma(1, 1, shape=(2,))
[ 0.48216391 2.09890771]
<NDArray 2 @cpu(0)>
>>> alpha = mx.nd.array([1,2,3])
>>> beta = mx.nd.array([2,3,4])
>>> mx.nd.random.gamma(alpha, beta, shape=2)
[[ 3.24343276 0.94137681]
[ 3.52734375 0.45568955]
[ 14.26264095 14.0170126 ]]
<NDArray 3x2 @cpu(0)>
"""
return _random_helper(_internal._random_gamma, _internal._sample_gamma,
[alpha, beta], shape, dtype, ctx, out, kwargs)
|
[
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"gamma",
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"alpha",
"=",
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",",
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"_Null",
",",
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",",
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",",
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",",
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"beta",
"]",
",",
"shape",
",",
"dtype",
",",
"ctx",
",",
"out",
",",
"kwargs",
")"
] |
Draw random samples from a gamma distribution.
Samples are distributed according to a gamma distribution parametrized
by *alpha* (shape) and *beta* (scale).
Parameters
----------
alpha : float or NDArray, optional
The shape of the gamma distribution. Should be greater than zero.
beta : float or NDArray, optional
The scale of the gamma distribution. Should be greater than zero.
Default is equal to 1.
shape : int or tuple of ints, optional
The number of samples to draw. If shape is, e.g., `(m, n)` and `alpha` and
`beta` are scalars, output shape will be `(m, n)`. If `alpha` and `beta`
are NDArrays with shape, e.g., `(x, y)`, then output will have shape
`(x, y, m, n)`, where `m*n` samples are drawn for each `[alpha, beta)` pair.
dtype : {'float16', 'float32', 'float64'}, optional
Data type of output samples. Default is 'float32'
ctx : Context, optional
Device context of output. Default is current context. Overridden by
`alpha.context` when `alpha` is an NDArray.
out : NDArray, optional
Store output to an existing NDArray.
Returns
-------
NDArray
If input `shape` has shape, e.g., `(m, n)` and `alpha` and `beta` are scalars, output
shape will be `(m, n)`. If `alpha` and `beta` are NDArrays with shape, e.g.,
`(x, y)`, then output will have shape `(x, y, m, n)`, where `m*n` samples are
drawn for each `[alpha, beta)` pair.
Examples
--------
>>> mx.nd.random.gamma(1, 1)
[ 1.93308783]
<NDArray 1 @cpu(0)>
>>> mx.nd.random.gamma(1, 1, shape=(2,))
[ 0.48216391 2.09890771]
<NDArray 2 @cpu(0)>
>>> alpha = mx.nd.array([1,2,3])
>>> beta = mx.nd.array([2,3,4])
>>> mx.nd.random.gamma(alpha, beta, shape=2)
[[ 3.24343276 0.94137681]
[ 3.52734375 0.45568955]
[ 14.26264095 14.0170126 ]]
<NDArray 3x2 @cpu(0)>
|
[
"Draw",
"random",
"samples",
"from",
"a",
"gamma",
"distribution",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/random.py#L332-L383
|
train
|
Draw random samples from a gamma 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(0b1011111 + 0o20) + chr(0b110010) + '\x32' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(10550 - 10439) + '\063' + chr(175 - 127) + chr(0b11000 + 0o30), ord("\x08")), ehT0Px3KOsy9('\060' + chr(6401 - 6290) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\065' + chr(0b0 + 0o64), 4463 - 4455), ehT0Px3KOsy9('\060' + chr(0b11111 + 0o120) + chr(830 - 779) + chr(48), 14003 - 13995), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000001 + 0o56) + '\x35' + '\x30', 44213 - 44205), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(0b110110) + '\061', 27841 - 27833), ehT0Px3KOsy9(chr(71 - 23) + chr(0b1100011 + 0o14) + chr(0b110010 + 0o1) + chr(0b1101 + 0o52) + chr(0b11 + 0o57), 25827 - 25819), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100010 + 0o16), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101111 + 0o4) + '\x34' + chr(992 - 941), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(0b110001) + '\x35' + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111 + 0o0) + chr(0b1110 + 0o44) + '\066' + '\064', 36232 - 36224), ehT0Px3KOsy9(chr(1507 - 1459) + chr(111) + chr(50) + chr(0b110100) + chr(2506 - 2453), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(0b110011) + chr(54) + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2870 - 2759) + chr(0b110100) + chr(0b10 + 0o65), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(2372 - 2261) + chr(280 - 229) + chr(1387 - 1337) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110111) + chr(1578 - 1525), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(50) + chr(1111 - 1057), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1695 - 1645) + chr(53) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\x33' + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1848 - 1797) + chr(339 - 290) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + '\x33' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(890 - 842) + chr(0b1101111) + chr(0b110001) + chr(0b110100) + '\064', 15441 - 15433), ehT0Px3KOsy9(chr(0b110000) + chr(9874 - 9763) + chr(0b10001 + 0o40) + chr(0b10011 + 0o40) + chr(0b11101 + 0o23), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(54) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(1131 - 1083) + chr(0b1101111) + chr(0b110010 + 0o1) + chr(1959 - 1910) + '\x35', 37861 - 37853), ehT0Px3KOsy9(chr(1587 - 1539) + '\157' + chr(0b110001) + chr(0b110000 + 0o7) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b110110) + '\063', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + '\064' + chr(0b110100 + 0o1), 8), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(0b110110) + '\067', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(953 - 903) + '\x34' + '\x34', 0o10), ehT0Px3KOsy9(chr(287 - 239) + '\157' + chr(1039 - 990) + chr(988 - 936) + chr(50), 54791 - 54783), ehT0Px3KOsy9(chr(57 - 9) + chr(111) + '\063' + '\064' + chr(52), 24066 - 24058), ehT0Px3KOsy9('\060' + chr(10662 - 10551) + '\065' + '\x30', 8), ehT0Px3KOsy9('\x30' + chr(0b1010000 + 0o37) + chr(49) + '\x31' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110110) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2365 - 2314) + chr(0b100010 + 0o16) + '\064', 0o10), ehT0Px3KOsy9(chr(1975 - 1927) + chr(12292 - 12181) + '\063' + chr(51) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + '\x33' + '\062' + chr(48), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b111 + 0o54) + chr(0b1111 + 0o43) + chr(0b110010), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110101) + chr(2118 - 2070), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8'), chr(0b1100100) + chr(0b1000101 + 0o40) + '\x63' + chr(1127 - 1016) + '\144' + '\145')(chr(10169 - 10052) + '\164' + chr(102) + chr(1778 - 1733) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def nfeH4ZtvQXsW(gDUX9w35YHFE=ehT0Px3KOsy9(chr(0b110000) + chr(6337 - 6226) + chr(0b10100 + 0o35), 0o10), FjcovgoHM1LG=ehT0Px3KOsy9(chr(173 - 125) + chr(0b1101111) + '\x31', 8), nauYfLglTpcb=GTZITWJXusph, jSV9IKnemH7K=GTZITWJXusph, oM3jLo753XfX=None, UkrMp_I0RDmo=None, **M8EIoTs2GJXE):
return zEgpS9Zk7oLa(xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\xb2dB|G\x1c\xa5g\x82\x02\xd9\xc4'), chr(0b1011 + 0o131) + chr(6404 - 6303) + '\x63' + '\x6f' + chr(100) + chr(0b101 + 0o140))(chr(0b1110101) + '\164' + '\x66' + chr(45) + '\x38')), xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\xb3dAhD\x14\xa5g\x82\x02\xd9\xc4'), '\x64' + chr(101) + chr(0b1100011) + chr(0b110101 + 0o72) + chr(0b1100100) + chr(0b1100101))('\165' + '\164' + chr(0b101100 + 0o72) + chr(990 - 945) + chr(2763 - 2707))), [gDUX9w35YHFE, FjcovgoHM1LG], nauYfLglTpcb, jSV9IKnemH7K, oM3jLo753XfX, UkrMp_I0RDmo, M8EIoTs2GJXE)
|
apache/incubator-mxnet
|
python/mxnet/ndarray/random.py
|
negative_binomial
|
def negative_binomial(k=1, p=1, shape=_Null, dtype=_Null, ctx=None,
out=None, **kwargs):
"""Draw random samples from a negative binomial distribution.
Samples are distributed according to a negative binomial distribution
parametrized by *k* (limit of unsuccessful experiments) and *p* (failure
probability in each experiment). Samples will always be returned as a
floating point data type.
Parameters
----------
k : float or NDArray, optional
Limit of unsuccessful experiments, > 0.
p : float or NDArray, optional
Failure probability in each experiment, >= 0 and <=1.
shape : int or tuple of ints, optional
The number of samples to draw. If shape is, e.g., `(m, n)` and `k` and
`p` are scalars, output shape will be `(m, n)`. If `k` and `p`
are NDArrays with shape, e.g., `(x, y)`, then output will have shape
`(x, y, m, n)`, where `m*n` samples are drawn for each `[k, p)` pair.
dtype : {'float16', 'float32', 'float64'}, optional
Data type of output samples. Default is 'float32'
ctx : Context, optional
Device context of output. Default is current context. Overridden by
`k.context` when `k` is an NDArray.
out : NDArray, optional
Store output to an existing NDArray.
Returns
-------
NDArray
If input `shape` has shape, e.g., `(m, n)` and `k` and `p` are scalars, output shape
will be `(m, n)`. If `k` and `p` are NDArrays with shape, e.g., `(x, y)`, then
output will have shape `(x, y, m, n)`, where `m*n` samples are drawn for each `[k, p)` pair.
Examples
--------
>>> mx.nd.random.negative_binomial(10, 0.5)
[ 4.]
<NDArray 1 @cpu(0)>
>>> mx.nd.random.negative_binomial(10, 0.5, shape=(2,))
[ 3. 4.]
<NDArray 2 @cpu(0)>
>>> k = mx.nd.array([1,2,3])
>>> p = mx.nd.array([0.2,0.4,0.6])
>>> mx.nd.random.negative_binomial(k, p, shape=2)
[[ 3. 2.]
[ 4. 4.]
[ 0. 5.]]
<NDArray 3x2 @cpu(0)>
"""
return _random_helper(_internal._random_negative_binomial,
_internal._sample_negative_binomial,
[k, p], shape, dtype, ctx, out, kwargs)
|
python
|
def negative_binomial(k=1, p=1, shape=_Null, dtype=_Null, ctx=None,
out=None, **kwargs):
"""Draw random samples from a negative binomial distribution.
Samples are distributed according to a negative binomial distribution
parametrized by *k* (limit of unsuccessful experiments) and *p* (failure
probability in each experiment). Samples will always be returned as a
floating point data type.
Parameters
----------
k : float or NDArray, optional
Limit of unsuccessful experiments, > 0.
p : float or NDArray, optional
Failure probability in each experiment, >= 0 and <=1.
shape : int or tuple of ints, optional
The number of samples to draw. If shape is, e.g., `(m, n)` and `k` and
`p` are scalars, output shape will be `(m, n)`. If `k` and `p`
are NDArrays with shape, e.g., `(x, y)`, then output will have shape
`(x, y, m, n)`, where `m*n` samples are drawn for each `[k, p)` pair.
dtype : {'float16', 'float32', 'float64'}, optional
Data type of output samples. Default is 'float32'
ctx : Context, optional
Device context of output. Default is current context. Overridden by
`k.context` when `k` is an NDArray.
out : NDArray, optional
Store output to an existing NDArray.
Returns
-------
NDArray
If input `shape` has shape, e.g., `(m, n)` and `k` and `p` are scalars, output shape
will be `(m, n)`. If `k` and `p` are NDArrays with shape, e.g., `(x, y)`, then
output will have shape `(x, y, m, n)`, where `m*n` samples are drawn for each `[k, p)` pair.
Examples
--------
>>> mx.nd.random.negative_binomial(10, 0.5)
[ 4.]
<NDArray 1 @cpu(0)>
>>> mx.nd.random.negative_binomial(10, 0.5, shape=(2,))
[ 3. 4.]
<NDArray 2 @cpu(0)>
>>> k = mx.nd.array([1,2,3])
>>> p = mx.nd.array([0.2,0.4,0.6])
>>> mx.nd.random.negative_binomial(k, p, shape=2)
[[ 3. 2.]
[ 4. 4.]
[ 0. 5.]]
<NDArray 3x2 @cpu(0)>
"""
return _random_helper(_internal._random_negative_binomial,
_internal._sample_negative_binomial,
[k, p], shape, dtype, ctx, out, kwargs)
|
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] |
Draw random samples from a negative binomial distribution.
Samples are distributed according to a negative binomial distribution
parametrized by *k* (limit of unsuccessful experiments) and *p* (failure
probability in each experiment). Samples will always be returned as a
floating point data type.
Parameters
----------
k : float or NDArray, optional
Limit of unsuccessful experiments, > 0.
p : float or NDArray, optional
Failure probability in each experiment, >= 0 and <=1.
shape : int or tuple of ints, optional
The number of samples to draw. If shape is, e.g., `(m, n)` and `k` and
`p` are scalars, output shape will be `(m, n)`. If `k` and `p`
are NDArrays with shape, e.g., `(x, y)`, then output will have shape
`(x, y, m, n)`, where `m*n` samples are drawn for each `[k, p)` pair.
dtype : {'float16', 'float32', 'float64'}, optional
Data type of output samples. Default is 'float32'
ctx : Context, optional
Device context of output. Default is current context. Overridden by
`k.context` when `k` is an NDArray.
out : NDArray, optional
Store output to an existing NDArray.
Returns
-------
NDArray
If input `shape` has shape, e.g., `(m, n)` and `k` and `p` are scalars, output shape
will be `(m, n)`. If `k` and `p` are NDArrays with shape, e.g., `(x, y)`, then
output will have shape `(x, y, m, n)`, where `m*n` samples are drawn for each `[k, p)` pair.
Examples
--------
>>> mx.nd.random.negative_binomial(10, 0.5)
[ 4.]
<NDArray 1 @cpu(0)>
>>> mx.nd.random.negative_binomial(10, 0.5, shape=(2,))
[ 3. 4.]
<NDArray 2 @cpu(0)>
>>> k = mx.nd.array([1,2,3])
>>> p = mx.nd.array([0.2,0.4,0.6])
>>> mx.nd.random.negative_binomial(k, p, shape=2)
[[ 3. 2.]
[ 4. 4.]
[ 0. 5.]]
<NDArray 3x2 @cpu(0)>
|
[
"Draw",
"random",
"samples",
"from",
"a",
"negative",
"binomial",
"distribution",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/random.py#L386-L439
|
train
|
Draw random samples from a negative binomial 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('\060' + chr(0b1101111) + chr(672 - 622) + chr(2097 - 2046) + chr(0b100 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9223 - 9112) + chr(0b10110 + 0o33), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b110001) + '\062', 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b10000 + 0o137) + '\x34' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(1127 - 1079) + chr(0b1000110 + 0o51) + '\061' + '\x30' + chr(165 - 114), 52217 - 52209), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(400 - 350) + chr(2590 - 2539) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + chr(0b101000 + 0o13) + chr(54) + '\x30', 19796 - 19788), ehT0Px3KOsy9('\x30' + chr(0b110010 + 0o75) + chr(338 - 287) + '\x32' + chr(48), 0o10), ehT0Px3KOsy9(chr(377 - 329) + chr(2463 - 2352) + chr(204 - 154) + chr(0b110001) + chr(1675 - 1622), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(92 - 42) + chr(51) + chr(1781 - 1733), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(52) + chr(0b10011 + 0o36), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\x35' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(1300 - 1251) + '\x36', 57592 - 57584), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(0b110010) + chr(0b1011 + 0o54), 21857 - 21849), ehT0Px3KOsy9('\060' + chr(0b1001011 + 0o44) + chr(103 - 52) + chr(0b110010 + 0o5) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5240 - 5129) + chr(0b10101 + 0o36) + chr(0b110011 + 0o1) + chr(0b110 + 0o56), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110001 + 0o76) + '\062' + chr(2096 - 2048) + chr(1776 - 1722), 41168 - 41160), ehT0Px3KOsy9(chr(2221 - 2173) + chr(10700 - 10589) + chr(0b110111) + '\063', 53084 - 53076), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1050 - 1001) + '\x35' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(1362 - 1314) + '\157' + chr(0b110010) + chr(0b11010 + 0o35) + chr(0b1101 + 0o44), 2743 - 2735), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(49) + '\x33' + chr(0b11010 + 0o27), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(0b110101), 30730 - 30722), ehT0Px3KOsy9(chr(1441 - 1393) + chr(7944 - 7833) + chr(0b110011) + chr(0b110101 + 0o1) + chr(220 - 172), 8), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + '\061' + chr(1681 - 1629), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(50) + '\065' + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1904 - 1855) + chr(55) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b110001) + chr(0b101000 + 0o10), 0b1000), ehT0Px3KOsy9(chr(1246 - 1198) + chr(0b101110 + 0o101) + chr(0b10110 + 0o33) + chr(1470 - 1422) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b110001 + 0o76) + '\x31' + '\x33' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(2297 - 2246) + chr(0b110010) + chr(0b10 + 0o57), 6600 - 6592), ehT0Px3KOsy9('\060' + chr(0b1011010 + 0o25) + '\062' + chr(639 - 584) + '\x37', 28292 - 28284), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\064' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(51) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11100 + 0o25) + chr(50) + chr(1566 - 1516), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(0b1110 + 0o45) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1920 - 1872) + chr(0b1101111) + chr(49) + chr(0b110111) + chr(49), 0b1000), ehT0Px3KOsy9(chr(1404 - 1356) + chr(0b1100101 + 0o12) + '\x33' + chr(50) + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b110100), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\x31' + chr(50), 61859 - 61851), ehT0Px3KOsy9(chr(1811 - 1763) + chr(11485 - 11374) + chr(55) + chr(53), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + chr(53) + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7'), '\144' + chr(0b1100101) + '\143' + chr(0b1101111) + '\144' + chr(0b1100101))('\165' + '\164' + '\x66' + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def V_7gZTgaVwYh(OolUPRJhRaJd=ehT0Px3KOsy9('\x30' + chr(1642 - 1531) + '\061', 8), UyakMW2IMFEj=ehT0Px3KOsy9('\x30' + chr(0b10101 + 0o132) + chr(0b11001 + 0o30), 8), nauYfLglTpcb=GTZITWJXusph, jSV9IKnemH7K=GTZITWJXusph, oM3jLo753XfX=None, UkrMp_I0RDmo=None, **M8EIoTs2GJXE):
return zEgpS9Zk7oLa(xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b"\xc6s+L'\xf3\x9d\x8f\xe3\xfd\x86\xca\xba\xbe\x8b\x81\xd9Y\x07\xd76`\x99m\xc4"), '\144' + chr(0b111001 + 0o54) + chr(4917 - 4818) + '\x6f' + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(1986 - 1941) + '\x38')), xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6r+O3\xf0\x95\x8f\xe3\xfd\x86\xca\xba\xbe\x8b\x81\xd9Y\x07\xd76`\x99m\xc4'), chr(3186 - 3086) + chr(101) + chr(1502 - 1403) + chr(0b110001 + 0o76) + '\x64' + chr(101))(chr(6244 - 6127) + chr(4802 - 4686) + '\x66' + chr(0b10101 + 0o30) + chr(2580 - 2524))), [OolUPRJhRaJd, UyakMW2IMFEj], nauYfLglTpcb, jSV9IKnemH7K, oM3jLo753XfX, UkrMp_I0RDmo, M8EIoTs2GJXE)
|
apache/incubator-mxnet
|
python/mxnet/ndarray/random.py
|
multinomial
|
def multinomial(data, shape=_Null, get_prob=False, out=None, dtype='int32', **kwargs):
"""Concurrent sampling from multiple multinomial distributions.
.. note:: The input distribution must be normalized, i.e. `data` must sum to
1 along its last dimension.
Parameters
----------
data : NDArray
An *n* dimensional array whose last dimension has length `k`, where
`k` is the number of possible outcomes of each multinomial distribution.
For example, data with shape `(m, n, k)` specifies `m*n` multinomial
distributions each with `k` possible outcomes.
shape : int or tuple of ints, optional
The number of samples to draw from each distribution. If shape is empty
one sample will be drawn from each distribution.
get_prob : bool, optional
If true, a second array containing log likelihood of the drawn
samples will also be returned.
This is usually used for reinforcement learning, where you can provide
reward as head gradient w.r.t. this array to estimate gradient.
out : NDArray, optional
Store output to an existing NDArray.
dtype : str or numpy.dtype, optional
Data type of the sample output array. The default is int32.
Note that the data type of the log likelihood array is the same with that of `data`.
Returns
-------
List, or NDArray
For input `data` with `n` dimensions and shape `(d1, d2, ..., dn-1, k)`, and input
`shape` with shape `(s1, s2, ..., sx)`, returns an NDArray with shape
`(d1, d2, ... dn-1, s1, s2, ..., sx)`. The `s1, s2, ... sx` dimensions of the
returned NDArray consist of 0-indexed values sampled from each respective multinomial
distribution provided in the `k` dimension of `data`.
For the case `n`=1, and `x`=1 (one shape dimension), returned NDArray has shape `(s1,)`.
If `get_prob` is set to True, this function returns a list of format:
`[ndarray_output, log_likelihood_output]`, where `log_likelihood_output` is an NDArray of the
same shape as the sampled outputs.
Examples
--------
>>> probs = mx.nd.array([0, 0.1, 0.2, 0.3, 0.4])
>>> mx.nd.random.multinomial(probs)
[3]
<NDArray 1 @cpu(0)>
>>> probs = mx.nd.array([[0, 0.1, 0.2, 0.3, 0.4], [0.4, 0.3, 0.2, 0.1, 0]])
>>> mx.nd.random.multinomial(probs)
[3 1]
<NDArray 2 @cpu(0)>
>>> mx.nd.random.multinomial(probs, shape=2)
[[4 4]
[1 2]]
<NDArray 2x2 @cpu(0)>
>>> mx.nd.random.multinomial(probs, get_prob=True)
[3 2]
<NDArray 2 @cpu(0)>
[-1.20397282 -1.60943794]
<NDArray 2 @cpu(0)>
"""
return _internal._sample_multinomial(data, shape, get_prob, out=out, dtype=dtype, **kwargs)
|
python
|
def multinomial(data, shape=_Null, get_prob=False, out=None, dtype='int32', **kwargs):
"""Concurrent sampling from multiple multinomial distributions.
.. note:: The input distribution must be normalized, i.e. `data` must sum to
1 along its last dimension.
Parameters
----------
data : NDArray
An *n* dimensional array whose last dimension has length `k`, where
`k` is the number of possible outcomes of each multinomial distribution.
For example, data with shape `(m, n, k)` specifies `m*n` multinomial
distributions each with `k` possible outcomes.
shape : int or tuple of ints, optional
The number of samples to draw from each distribution. If shape is empty
one sample will be drawn from each distribution.
get_prob : bool, optional
If true, a second array containing log likelihood of the drawn
samples will also be returned.
This is usually used for reinforcement learning, where you can provide
reward as head gradient w.r.t. this array to estimate gradient.
out : NDArray, optional
Store output to an existing NDArray.
dtype : str or numpy.dtype, optional
Data type of the sample output array. The default is int32.
Note that the data type of the log likelihood array is the same with that of `data`.
Returns
-------
List, or NDArray
For input `data` with `n` dimensions and shape `(d1, d2, ..., dn-1, k)`, and input
`shape` with shape `(s1, s2, ..., sx)`, returns an NDArray with shape
`(d1, d2, ... dn-1, s1, s2, ..., sx)`. The `s1, s2, ... sx` dimensions of the
returned NDArray consist of 0-indexed values sampled from each respective multinomial
distribution provided in the `k` dimension of `data`.
For the case `n`=1, and `x`=1 (one shape dimension), returned NDArray has shape `(s1,)`.
If `get_prob` is set to True, this function returns a list of format:
`[ndarray_output, log_likelihood_output]`, where `log_likelihood_output` is an NDArray of the
same shape as the sampled outputs.
Examples
--------
>>> probs = mx.nd.array([0, 0.1, 0.2, 0.3, 0.4])
>>> mx.nd.random.multinomial(probs)
[3]
<NDArray 1 @cpu(0)>
>>> probs = mx.nd.array([[0, 0.1, 0.2, 0.3, 0.4], [0.4, 0.3, 0.2, 0.1, 0]])
>>> mx.nd.random.multinomial(probs)
[3 1]
<NDArray 2 @cpu(0)>
>>> mx.nd.random.multinomial(probs, shape=2)
[[4 4]
[1 2]]
<NDArray 2x2 @cpu(0)>
>>> mx.nd.random.multinomial(probs, get_prob=True)
[3 2]
<NDArray 2 @cpu(0)>
[-1.20397282 -1.60943794]
<NDArray 2 @cpu(0)>
"""
return _internal._sample_multinomial(data, shape, get_prob, out=out, dtype=dtype, **kwargs)
|
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] |
Concurrent sampling from multiple multinomial distributions.
.. note:: The input distribution must be normalized, i.e. `data` must sum to
1 along its last dimension.
Parameters
----------
data : NDArray
An *n* dimensional array whose last dimension has length `k`, where
`k` is the number of possible outcomes of each multinomial distribution.
For example, data with shape `(m, n, k)` specifies `m*n` multinomial
distributions each with `k` possible outcomes.
shape : int or tuple of ints, optional
The number of samples to draw from each distribution. If shape is empty
one sample will be drawn from each distribution.
get_prob : bool, optional
If true, a second array containing log likelihood of the drawn
samples will also be returned.
This is usually used for reinforcement learning, where you can provide
reward as head gradient w.r.t. this array to estimate gradient.
out : NDArray, optional
Store output to an existing NDArray.
dtype : str or numpy.dtype, optional
Data type of the sample output array. The default is int32.
Note that the data type of the log likelihood array is the same with that of `data`.
Returns
-------
List, or NDArray
For input `data` with `n` dimensions and shape `(d1, d2, ..., dn-1, k)`, and input
`shape` with shape `(s1, s2, ..., sx)`, returns an NDArray with shape
`(d1, d2, ... dn-1, s1, s2, ..., sx)`. The `s1, s2, ... sx` dimensions of the
returned NDArray consist of 0-indexed values sampled from each respective multinomial
distribution provided in the `k` dimension of `data`.
For the case `n`=1, and `x`=1 (one shape dimension), returned NDArray has shape `(s1,)`.
If `get_prob` is set to True, this function returns a list of format:
`[ndarray_output, log_likelihood_output]`, where `log_likelihood_output` is an NDArray of the
same shape as the sampled outputs.
Examples
--------
>>> probs = mx.nd.array([0, 0.1, 0.2, 0.3, 0.4])
>>> mx.nd.random.multinomial(probs)
[3]
<NDArray 1 @cpu(0)>
>>> probs = mx.nd.array([[0, 0.1, 0.2, 0.3, 0.4], [0.4, 0.3, 0.2, 0.1, 0]])
>>> mx.nd.random.multinomial(probs)
[3 1]
<NDArray 2 @cpu(0)>
>>> mx.nd.random.multinomial(probs, shape=2)
[[4 4]
[1 2]]
<NDArray 2x2 @cpu(0)>
>>> mx.nd.random.multinomial(probs, get_prob=True)
[3 2]
<NDArray 2 @cpu(0)>
[-1.20397282 -1.60943794]
<NDArray 2 @cpu(0)>
|
[
"Concurrent",
"sampling",
"from",
"multiple",
"multinomial",
"distributions",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/random.py#L500-L562
|
train
|
Concurrent sampling from multiple multinomial distributions.
|
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(1991 - 1943) + chr(0b1100 + 0o143) + chr(1612 - 1561) + '\067' + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b100001 + 0o116) + chr(0b110011) + '\065' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(50) + '\x32' + '\064', 9374 - 9366), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b110100 + 0o73) + '\061' + chr(1322 - 1268) + chr(0b110110 + 0o0), 0o10), ehT0Px3KOsy9('\060' + chr(0b10011 + 0o134) + '\061' + chr(51) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + '\x35' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\x32' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(1226 - 1178) + '\157' + '\x33' + chr(787 - 733) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8678 - 8567) + chr(2690 - 2637) + chr(52), 65172 - 65164), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + '\061' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(2560 - 2505) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + '\x33' + chr(0b110111) + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b11110 + 0o27) + chr(0b10100 + 0o41), 6716 - 6708), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(935 - 880) + '\060', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b100101 + 0o112) + '\x37' + chr(1946 - 1896), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(1854 - 1805) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + '\x33' + chr(0b110101) + '\x37', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100110 + 0o15) + chr(51) + chr(0b1 + 0o60), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + chr(51) + chr(0b101011 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2595 - 2484) + chr(0b1010 + 0o47) + '\x36' + chr(0b110010), 41233 - 41225), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11110 + 0o24) + chr(49) + chr(0b1 + 0o63), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(421 - 371) + chr(0b110010 + 0o5) + chr(48), 28930 - 28922), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11110 + 0o25) + chr(0b110001) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x37' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(0b100100 + 0o15) + '\x32' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(0b110110) + '\x33', 0b1000), ehT0Px3KOsy9(chr(816 - 768) + chr(6191 - 6080) + chr(2299 - 2250) + chr(54) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + chr(51) + chr(0b110110) + '\x35', 54282 - 54274), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(180 - 131) + '\064' + chr(0b110001), 11308 - 11300), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b100010 + 0o20) + chr(0b0 + 0o61), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(690 - 640) + chr(0b11101 + 0o27) + chr(0b11101 + 0o27), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + '\067' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b11110 + 0o121) + '\061' + chr(0b11110 + 0o31) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b11 + 0o63) + chr(2014 - 1964), 7230 - 7222), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(1839 - 1789) + chr(49) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(6025 - 5914) + '\062' + chr(0b110101) + chr(0b0 + 0o65), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\067', 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + chr(0b110001) + chr(0b110001) + chr(0b100000 + 0o25), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110110 + 0o0) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2683 - 2572) + '\063' + chr(0b10110 + 0o41) + chr(0b110110), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1100001 + 0o16) + '\x35' + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6'), chr(0b1000011 + 0o41) + chr(0b1100101) + chr(4153 - 4054) + chr(1351 - 1240) + chr(100) + '\145')(chr(12476 - 12359) + '\164' + chr(0b10110 + 0o120) + chr(0b1111 + 0o36) + chr(2341 - 2285)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def A33HXucA2pZR(ULnjp6D6efFH, nauYfLglTpcb=GTZITWJXusph, J4QcIyROEbW6=ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110000), ord("\x08")), UkrMp_I0RDmo=None, jSV9IKnemH7K=xafqLlk3kkUe(SXOLrMavuUCe(b'\x91\x81\xe0Eo'), '\x64' + chr(0b1100101) + '\143' + chr(11448 - 11337) + chr(0b111110 + 0o46) + chr(0b1100100 + 0o1))('\165' + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b1001 + 0o57)), **M8EIoTs2GJXE):
return xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7\x9c\xf5\x1b-\x01\xf5\xa8A\xbb\x91\x88\xc4\x96U\xa7\x86\xb8r'), '\144' + chr(646 - 545) + '\143' + '\157' + '\144' + chr(0b110010 + 0o63))(chr(0b10111 + 0o136) + chr(116) + '\x66' + chr(45) + chr(1031 - 975)))(ULnjp6D6efFH, nauYfLglTpcb, J4QcIyROEbW6, out=UkrMp_I0RDmo, dtype=jSV9IKnemH7K, **M8EIoTs2GJXE)
|
apache/incubator-mxnet
|
python/mxnet/ndarray/random.py
|
randint
|
def randint(low, high, shape=_Null, dtype=_Null, ctx=None, out=None, **kwargs):
"""Draw random samples from a discrete uniform distribution.
Samples are uniformly distributed over the half-open interval *[low, high)*
(includes *low*, but excludes *high*).
Parameters
----------
low : int, required
Lower boundary of the output interval. All values generated will be
greater than or equal to low.
high : int, required
Upper boundary of the output interval. All values generated will be
less than high.
shape : int or tuple of ints, optional
The number of samples to draw. If shape is, e.g., `(m, n)` and `low` and
`high` are scalars, output shape will be `(m, n)`.
dtype : {'int32', 'int64'}, optional
Data type of output samples. Default is 'int32'
ctx : Context, optional
Device context of output. Default is current context. Overridden by
`low.context` when `low` is an NDArray.
out : NDArray, optional
Store output to an existing NDArray.
Returns
-------
NDArray
An NDArray of type `dtype`. If input `shape` has shape, e.g.,
`(m, n)`, the returned NDArray will shape will be `(m, n)`. Contents
of the returned NDArray will be samples from the interval `[low, high)`.
Examples
--------
>>> mx.nd.random.randint(5, 100)
[ 90]
<NDArray 1 @cpu(0)
>>> mx.nd.random.randint(-10, 2, ctx=mx.gpu(0))
[ -8]
<NDArray 1 @gpu(0)>
>>> mx.nd.random.randint(-10, 10, shape=(2,))
[ -5 4]
<NDArray 2 @cpu(0)>
"""
return _random_helper(_internal._random_randint, None,
[low, high], shape, dtype, ctx, out, kwargs)
|
python
|
def randint(low, high, shape=_Null, dtype=_Null, ctx=None, out=None, **kwargs):
"""Draw random samples from a discrete uniform distribution.
Samples are uniformly distributed over the half-open interval *[low, high)*
(includes *low*, but excludes *high*).
Parameters
----------
low : int, required
Lower boundary of the output interval. All values generated will be
greater than or equal to low.
high : int, required
Upper boundary of the output interval. All values generated will be
less than high.
shape : int or tuple of ints, optional
The number of samples to draw. If shape is, e.g., `(m, n)` and `low` and
`high` are scalars, output shape will be `(m, n)`.
dtype : {'int32', 'int64'}, optional
Data type of output samples. Default is 'int32'
ctx : Context, optional
Device context of output. Default is current context. Overridden by
`low.context` when `low` is an NDArray.
out : NDArray, optional
Store output to an existing NDArray.
Returns
-------
NDArray
An NDArray of type `dtype`. If input `shape` has shape, e.g.,
`(m, n)`, the returned NDArray will shape will be `(m, n)`. Contents
of the returned NDArray will be samples from the interval `[low, high)`.
Examples
--------
>>> mx.nd.random.randint(5, 100)
[ 90]
<NDArray 1 @cpu(0)
>>> mx.nd.random.randint(-10, 2, ctx=mx.gpu(0))
[ -8]
<NDArray 1 @gpu(0)>
>>> mx.nd.random.randint(-10, 10, shape=(2,))
[ -5 4]
<NDArray 2 @cpu(0)>
"""
return _random_helper(_internal._random_randint, None,
[low, high], shape, dtype, ctx, out, kwargs)
|
[
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"=",
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"]",
",",
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",",
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] |
Draw random samples from a discrete uniform distribution.
Samples are uniformly distributed over the half-open interval *[low, high)*
(includes *low*, but excludes *high*).
Parameters
----------
low : int, required
Lower boundary of the output interval. All values generated will be
greater than or equal to low.
high : int, required
Upper boundary of the output interval. All values generated will be
less than high.
shape : int or tuple of ints, optional
The number of samples to draw. If shape is, e.g., `(m, n)` and `low` and
`high` are scalars, output shape will be `(m, n)`.
dtype : {'int32', 'int64'}, optional
Data type of output samples. Default is 'int32'
ctx : Context, optional
Device context of output. Default is current context. Overridden by
`low.context` when `low` is an NDArray.
out : NDArray, optional
Store output to an existing NDArray.
Returns
-------
NDArray
An NDArray of type `dtype`. If input `shape` has shape, e.g.,
`(m, n)`, the returned NDArray will shape will be `(m, n)`. Contents
of the returned NDArray will be samples from the interval `[low, high)`.
Examples
--------
>>> mx.nd.random.randint(5, 100)
[ 90]
<NDArray 1 @cpu(0)
>>> mx.nd.random.randint(-10, 2, ctx=mx.gpu(0))
[ -8]
<NDArray 1 @gpu(0)>
>>> mx.nd.random.randint(-10, 10, shape=(2,))
[ -5 4]
<NDArray 2 @cpu(0)>
|
[
"Draw",
"random",
"samples",
"from",
"a",
"discrete",
"uniform",
"distribution",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/random.py#L604-L649
|
train
|
Draw random samples from a discrete uniform 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('\x30' + chr(0b1101111) + chr(0b10110 + 0o35) + chr(0b10110 + 0o34) + '\x31', 19038 - 19030), ehT0Px3KOsy9('\x30' + chr(2909 - 2798) + '\061' + '\063' + chr(1501 - 1450), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(55 - 2) + chr(781 - 733), 15712 - 15704), ehT0Px3KOsy9('\x30' + chr(7910 - 7799) + chr(50) + '\067' + chr(0b100011 + 0o15), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100110 + 0o11) + chr(417 - 367) + '\064' + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(1698 - 1646) + '\x30', 0o10), ehT0Px3KOsy9(chr(2119 - 2071) + chr(0b111001 + 0o66) + '\x36' + chr(0b101110 + 0o10), 11787 - 11779), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b100111 + 0o11) + chr(54), 49675 - 49667), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(52) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2221 - 2171) + '\x33' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + '\063' + chr(0b110011) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(2500 - 2448) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10001 + 0o136) + chr(0b1101 + 0o46) + chr(50) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + chr(0b110010) + '\067' + chr(0b110011), 25467 - 25459), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(10470 - 10359) + chr(1461 - 1412) + '\x37' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110111 + 0o70) + chr(0b110011) + chr(52) + chr(2187 - 2132), 23721 - 23713), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b110110) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1371 - 1323) + chr(0b1101111) + chr(328 - 277) + chr(850 - 801) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b110010) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1801 - 1750) + chr(0b110110) + chr(1060 - 1012), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(54) + chr(1123 - 1073), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\061' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b110100) + chr(52), 49240 - 49232), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(973 - 923) + '\x32' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + chr(0b110011) + chr(0b110110), 21786 - 21778), ehT0Px3KOsy9(chr(1605 - 1557) + chr(8889 - 8778) + chr(0b100011 + 0o16) + chr(53) + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(991 - 939) + chr(109 - 55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(292 - 241) + chr(0b110001) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(54) + chr(1858 - 1806), 0o10), ehT0Px3KOsy9('\060' + chr(1384 - 1273) + '\064' + chr(0b10010 + 0o45), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(0b110011) + chr(0b110000) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(428 - 380) + chr(0b1101111) + chr(49) + '\x36' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\065' + chr(1810 - 1761), 30612 - 30604), ehT0Px3KOsy9(chr(0b110000) + chr(4160 - 4049) + chr(50) + chr(0b11 + 0o57) + chr(2179 - 2129), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + '\x31' + chr(48), 42555 - 42547), ehT0Px3KOsy9(chr(48) + chr(0b110001 + 0o76) + chr(50) + chr(0b11001 + 0o35), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11000 + 0o31) + '\060' + chr(0b110001 + 0o5), 0b1000), ehT0Px3KOsy9(chr(801 - 753) + chr(0b1101111) + '\x32' + chr(0b110010) + chr(1550 - 1497), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(53) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(0b110111) + chr(0b110000), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1180 - 1132) + '\x6f' + chr(0b10010 + 0o43) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xff'), chr(0b1100100) + '\145' + '\x63' + '\x6f' + chr(100) + '\x65')(chr(0b1110101) + '\164' + chr(102) + chr(0b101101) + chr(383 - 327)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def FXbppO8HYrND(OFpkgP3q6det, LeZQSeHIwFgX, nauYfLglTpcb=GTZITWJXusph, jSV9IKnemH7K=GTZITWJXusph, oM3jLo753XfX=None, UkrMp_I0RDmo=None, **M8EIoTs2GJXE):
return zEgpS9Zk7oLa(xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e)I\xd6\xc3\xcf[\xd9\x11\xf9\xb3\x82\xbd\xd5\x0e'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(6687 - 6587) + chr(7241 - 7140))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(365 - 320) + chr(56))), None, [OFpkgP3q6det, LeZQSeHIwFgX], nauYfLglTpcb, jSV9IKnemH7K, oM3jLo753XfX, UkrMp_I0RDmo, M8EIoTs2GJXE)
|
apache/incubator-mxnet
|
example/sparse/wide_deep/data.py
|
preprocess_uci_adult
|
def preprocess_uci_adult(data_name):
"""Some tricks of feature engineering are adapted
from tensorflow's wide and deep tutorial.
"""
csv_columns = [
"age", "workclass", "fnlwgt", "education", "education_num",
"marital_status", "occupation", "relationship", "race", "gender",
"capital_gain", "capital_loss", "hours_per_week", "native_country",
"income_bracket"
]
vocabulary_dict = {
"gender": [
"Female", "Male"
],
"education": [
"Bachelors", "HS-grad", "11th", "Masters", "9th",
"Some-college", "Assoc-acdm", "Assoc-voc", "7th-8th",
"Doctorate", "Prof-school", "5th-6th", "10th", "1st-4th",
"Preschool", "12th"
],
"marital_status": [
"Married-civ-spouse", "Divorced", "Married-spouse-absent",
"Never-married", "Separated", "Married-AF-spouse", "Widowed"
],
"relationship": [
"Husband", "Not-in-family", "Wife", "Own-child", "Unmarried",
"Other-relative"
],
"workclass": [
"Self-emp-not-inc", "Private", "State-gov", "Federal-gov",
"Local-gov", "?", "Self-emp-inc", "Without-pay", "Never-worked"
]
}
# wide columns
crossed_columns = [
["education", "occupation"],
["native_country", "occupation"],
["age_buckets", "education", "occupation"],
]
age_boundaries = [18, 25, 30, 35, 40, 45, 50, 55, 60, 65]
# deep columns
indicator_columns = ['workclass', 'education', 'gender', 'relationship']
embedding_columns = ['native_country', 'occupation']
continuous_columns = ['age', 'education_num', 'capital_gain', 'capital_loss', 'hours_per_week']
# income_bracket column is the label
labels = ["<", ">"]
hash_bucket_size = 1000
csr_ncols = len(crossed_columns) * hash_bucket_size
dns_ncols = len(continuous_columns) + len(embedding_columns)
for col in indicator_columns:
dns_ncols += len(vocabulary_dict[col])
label_list = []
csr_list = []
dns_list = []
with open(data_name) as f:
for row in DictReader(f, fieldnames=csv_columns):
label_list.append(labels.index(row['income_bracket'].strip()[0]))
for i, cols in enumerate(crossed_columns):
if cols[0] == "age_buckets":
age_bucket = np.digitize(float(row["age"]), age_boundaries)
s = '_'.join([row[col].strip() for col in cols[1:]])
s += '_' + str(age_bucket)
csr_list.append((i * hash_bucket_size + hash(s) % hash_bucket_size, 1.0))
else:
s = '_'.join([row[col].strip() for col in cols])
csr_list.append((i * hash_bucket_size + hash(s) % hash_bucket_size, 1.0))
dns_row = [0] * dns_ncols
dns_dim = 0
for col in embedding_columns:
dns_row[dns_dim] = hash(row[col].strip()) % hash_bucket_size
dns_dim += 1
for col in indicator_columns:
dns_row[dns_dim + vocabulary_dict[col].index(row[col].strip())] = 1.0
dns_dim += len(vocabulary_dict[col])
for col in continuous_columns:
dns_row[dns_dim] = float(row[col].strip())
dns_dim += 1
dns_list.append(dns_row)
data_list = [item[1] for item in csr_list]
indices_list = [item[0] for item in csr_list]
indptr_list = range(0, len(indices_list) + 1, len(crossed_columns))
# convert to ndarrays
csr = mx.nd.sparse.csr_matrix((data_list, indices_list, indptr_list),
shape=(len(label_list), hash_bucket_size * len(crossed_columns)))
dns = np.array(dns_list)
label = np.array(label_list)
return csr, dns, label
|
python
|
def preprocess_uci_adult(data_name):
"""Some tricks of feature engineering are adapted
from tensorflow's wide and deep tutorial.
"""
csv_columns = [
"age", "workclass", "fnlwgt", "education", "education_num",
"marital_status", "occupation", "relationship", "race", "gender",
"capital_gain", "capital_loss", "hours_per_week", "native_country",
"income_bracket"
]
vocabulary_dict = {
"gender": [
"Female", "Male"
],
"education": [
"Bachelors", "HS-grad", "11th", "Masters", "9th",
"Some-college", "Assoc-acdm", "Assoc-voc", "7th-8th",
"Doctorate", "Prof-school", "5th-6th", "10th", "1st-4th",
"Preschool", "12th"
],
"marital_status": [
"Married-civ-spouse", "Divorced", "Married-spouse-absent",
"Never-married", "Separated", "Married-AF-spouse", "Widowed"
],
"relationship": [
"Husband", "Not-in-family", "Wife", "Own-child", "Unmarried",
"Other-relative"
],
"workclass": [
"Self-emp-not-inc", "Private", "State-gov", "Federal-gov",
"Local-gov", "?", "Self-emp-inc", "Without-pay", "Never-worked"
]
}
# wide columns
crossed_columns = [
["education", "occupation"],
["native_country", "occupation"],
["age_buckets", "education", "occupation"],
]
age_boundaries = [18, 25, 30, 35, 40, 45, 50, 55, 60, 65]
# deep columns
indicator_columns = ['workclass', 'education', 'gender', 'relationship']
embedding_columns = ['native_country', 'occupation']
continuous_columns = ['age', 'education_num', 'capital_gain', 'capital_loss', 'hours_per_week']
# income_bracket column is the label
labels = ["<", ">"]
hash_bucket_size = 1000
csr_ncols = len(crossed_columns) * hash_bucket_size
dns_ncols = len(continuous_columns) + len(embedding_columns)
for col in indicator_columns:
dns_ncols += len(vocabulary_dict[col])
label_list = []
csr_list = []
dns_list = []
with open(data_name) as f:
for row in DictReader(f, fieldnames=csv_columns):
label_list.append(labels.index(row['income_bracket'].strip()[0]))
for i, cols in enumerate(crossed_columns):
if cols[0] == "age_buckets":
age_bucket = np.digitize(float(row["age"]), age_boundaries)
s = '_'.join([row[col].strip() for col in cols[1:]])
s += '_' + str(age_bucket)
csr_list.append((i * hash_bucket_size + hash(s) % hash_bucket_size, 1.0))
else:
s = '_'.join([row[col].strip() for col in cols])
csr_list.append((i * hash_bucket_size + hash(s) % hash_bucket_size, 1.0))
dns_row = [0] * dns_ncols
dns_dim = 0
for col in embedding_columns:
dns_row[dns_dim] = hash(row[col].strip()) % hash_bucket_size
dns_dim += 1
for col in indicator_columns:
dns_row[dns_dim + vocabulary_dict[col].index(row[col].strip())] = 1.0
dns_dim += len(vocabulary_dict[col])
for col in continuous_columns:
dns_row[dns_dim] = float(row[col].strip())
dns_dim += 1
dns_list.append(dns_row)
data_list = [item[1] for item in csr_list]
indices_list = [item[0] for item in csr_list]
indptr_list = range(0, len(indices_list) + 1, len(crossed_columns))
# convert to ndarrays
csr = mx.nd.sparse.csr_matrix((data_list, indices_list, indptr_list),
shape=(len(label_list), hash_bucket_size * len(crossed_columns)))
dns = np.array(dns_list)
label = np.array(label_list)
return csr, dns, label
|
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"\"Self-emp-inc\"",
",",
"\"Without-pay\"",
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"\"Never-worked\"",
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"[",
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] |
Some tricks of feature engineering are adapted
from tensorflow's wide and deep tutorial.
|
[
"Some",
"tricks",
"of",
"feature",
"engineering",
"are",
"adapted",
"from",
"tensorflow",
"s",
"wide",
"and",
"deep",
"tutorial",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/sparse/wide_deep/data.py#L40-L139
|
train
|
Preprocess the UCI adult data.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1637 - 1589) + '\x6f' + '\062' + chr(48) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11010 + 0o30) + chr(52) + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(2447 - 2393) + chr(547 - 497), 41815 - 41807), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(49) + '\x30' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(570 - 522) + chr(0b1011000 + 0o27) + chr(50) + '\x34' + '\066', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\x30' + chr(1315 - 1260), 35644 - 35636), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(48) + chr(0b101101 + 0o11), 0o10), ehT0Px3KOsy9(chr(48) + chr(3717 - 3606) + '\x36' + '\x34', 52788 - 52780), ehT0Px3KOsy9(chr(48) + chr(8768 - 8657) + chr(51) + '\061' + chr(50), 11804 - 11796), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + '\x31' + chr(0b101000 + 0o11) + chr(0b101001 + 0o10), 34965 - 34957), ehT0Px3KOsy9(chr(222 - 174) + '\157' + '\x32' + chr(0b110110) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(12181 - 12070) + chr(0b110011) + chr(432 - 383) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1728 - 1679) + chr(2309 - 2255) + chr(0b100011 + 0o22), 21042 - 21034), ehT0Px3KOsy9(chr(2247 - 2199) + chr(0b1101111) + '\x33' + chr(142 - 89) + chr(0b110010), 25588 - 25580), ehT0Px3KOsy9(chr(1514 - 1466) + chr(0b1101111) + chr(2211 - 2162) + '\x34' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b110101) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(2230 - 2179), 53596 - 53588), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b111 + 0o53) + '\x34' + chr(55), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(1033 - 979) + '\061', 58085 - 58077), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100100 + 0o21) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\x34' + '\063', 0o10), ehT0Px3KOsy9(chr(1353 - 1305) + '\157' + '\x33' + chr(0b110101) + chr(0b110001), 11117 - 11109), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011 + 0o0) + chr(1307 - 1258) + chr(1550 - 1495), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110101 + 0o72) + chr(0b110101) + '\064', 0o10), ehT0Px3KOsy9(chr(495 - 447) + chr(0b1101111) + chr(1917 - 1867) + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(0b11001 + 0o126) + '\063' + chr(0b100110 + 0o16), 7710 - 7702), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(1076 - 1021) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7250 - 7139) + '\062' + '\062' + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8497 - 8386) + '\063' + '\063' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b0 + 0o64) + chr(0b10111 + 0o33), ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + '\061' + chr(0b110101) + chr(0b110101), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b100001 + 0o22) + chr(55) + chr(0b100011 + 0o24), 62854 - 62846), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\x31' + chr(0b110111), 63938 - 63930), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(0b101100 + 0o4) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(54) + chr(2711 - 2658), 0o10), ehT0Px3KOsy9('\x30' + chr(0b10111 + 0o130) + chr(0b101 + 0o54) + '\x32' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b111001 + 0o66) + chr(0b0 + 0o63) + chr(50) + '\061', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\066' + chr(0b110 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(814 - 766) + chr(0b10010 + 0o135) + chr(51) + '\067' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b110101) + chr(1945 - 1893), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + '\x35' + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa'), chr(100) + chr(101) + chr(0b111100 + 0o47) + chr(0b111 + 0o150) + chr(100) + '\145')('\x75' + '\x74' + chr(0b1100 + 0o132) + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def zK3eRiZU9yUq(FuOGN1fmfS81):
KgO0_i01tCfn = [xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\xc0\x17'), chr(0b1100100) + chr(0b101010 + 0o73) + chr(0b1100011) + '\157' + '\144' + chr(0b10100 + 0o121))('\x75' + chr(0b1110100) + '\146' + chr(0b101101) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\xc8\x00(\xc5\xeb\xa7G\xb9'), chr(3453 - 3353) + chr(0b1100101) + '\143' + '\157' + chr(886 - 786) + chr(0b1100101))(chr(8745 - 8628) + '\x74' + chr(0b1011000 + 0o16) + chr(1352 - 1307) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xc9\x1e4\xc1\xf3'), chr(100) + chr(101) + '\x63' + chr(0b1101111) + '\144' + '\x65')(chr(12975 - 12858) + chr(0b1110100) + chr(7304 - 7202) + chr(0b101101) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xc3\x07 \xc7\xf3\xaf[\xa4'), '\144' + '\x65' + chr(0b1001110 + 0o25) + chr(0b100101 + 0o112) + '\144' + chr(4588 - 4487))(chr(117) + '\x74' + '\x66' + '\x2d' + chr(1703 - 1647)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xc3\x07 \xc7\xf3\xaf[\xa4\x16\xdc\xbc\x18'), chr(100) + chr(101) + chr(0b1100011) + chr(10136 - 10025) + chr(0b110 + 0o136) + '\x65')('\165' + chr(0b1101001 + 0o13) + chr(102) + chr(0b101101) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\xc6\x00*\xd2\xe6\xaak\xb9=\xd3\xbd\x00\x99'), chr(0b110011 + 0o61) + chr(101) + chr(99) + '\x6f' + '\144' + chr(0b1100101))(chr(10513 - 10396) + chr(0b101010 + 0o112) + chr(0b111010 + 0o54) + chr(45) + chr(1458 - 1402)), xafqLlk3kkUe(SXOLrMavuUCe(b"\xeb\xc4\x116\xd6\xe6\xb2]\xa5'"), '\144' + chr(0b100011 + 0o102) + '\143' + chr(0b1000100 + 0o53) + chr(0b1100100) + chr(6412 - 6311))(chr(0b1110101) + chr(4776 - 4660) + chr(0b1100110) + chr(146 - 101) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\xc2\x1e"\xd2\xee\xa9Z\xb9!\xdb\xb9'), '\144' + chr(7676 - 7575) + chr(0b1100011) + chr(5595 - 5484) + chr(100) + '\145')('\165' + chr(0b1110100) + chr(9124 - 9022) + '\x2d' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\xc6\x11&'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(1010 - 899) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(13029 - 12913) + chr(0b1100110) + '\x2d' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b"\xe3\xc2\x1c'\xc3\xf5"), chr(0b1100100) + '\145' + chr(0b10010 + 0o121) + '\x6f' + chr(100) + chr(101))(chr(117) + '\164' + chr(0b1100110) + chr(0b101101) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xc6\x02*\xd2\xe6\xaak\xad(\xdb\xa7'), chr(0b111100 + 0o50) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(100) + '\x65')(chr(117) + '\x74' + '\x66' + chr(943 - 898) + chr(0b110001 + 0o7)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xc6\x02*\xd2\xe6\xaak\xa6&\xc1\xba'), chr(0b111011 + 0o51) + '\x65' + chr(99) + '\x6f' + '\x64' + '\145')('\165' + '\x74' + '\146' + chr(577 - 532) + chr(0b101001 + 0o17)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xec\xc8\x071\xd5\xd8\xb6Q\xb8\x16\xc5\xac\x10\x81'), chr(100) + '\145' + '\143' + chr(0b1101111) + '\144' + chr(0b1011000 + 0o15))(chr(0b1110101) + chr(0b1110100) + '\x66' + '\055' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xc6\x06*\xd0\xe2\x99W\xa5<\xdc\xbd\x07\x93'), '\x64' + chr(0b10001 + 0o124) + chr(7836 - 7737) + chr(8464 - 8353) + '\x64' + '\145')(chr(0b110001 + 0o104) + chr(0b1110100) + '\146' + chr(0b101011 + 0o2) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\xc9\x11,\xcb\xe2\x99V\xb8(\xd1\xa2\x10\x9e'), '\144' + chr(4462 - 4361) + chr(5110 - 5011) + '\157' + chr(0b1100100) + '\x65')('\165' + '\164' + chr(102) + '\055' + '\x38')]
ZurRofCOPiUM = {xafqLlk3kkUe(SXOLrMavuUCe(b"\xe3\xc2\x1c'\xc3\xf5"), '\144' + chr(0b1100101) + chr(99) + '\x6f' + chr(9877 - 9777) + '\x65')(chr(0b1110101) + chr(116) + '\x66' + '\055' + chr(2512 - 2456)): [xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xc2\x1f"\xca\xe2'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(9040 - 8929) + '\144' + chr(2557 - 2456))(chr(0b1110101) + '\164' + chr(0b10110 + 0o120) + '\x2d' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\xc6\x1e&'), chr(0b1100000 + 0o4) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(0b11001 + 0o113) + chr(101))(chr(0b1110101) + '\164' + chr(7122 - 7020) + '\055' + chr(56))], xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xc3\x07 \xc7\xf3\xaf[\xa4'), chr(100) + chr(9526 - 9425) + chr(99) + '\157' + chr(100) + chr(0b10001 + 0o124))(chr(8509 - 8392) + chr(0b1110100) + '\146' + chr(1806 - 1761) + chr(0b1110 + 0o52)): [xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\xc6\x11+\xc3\xeb\xa9F\xb9'), '\x64' + chr(3072 - 2971) + '\x63' + chr(0b110110 + 0o71) + chr(230 - 130) + chr(0b1100100 + 0o1))(chr(0b1000 + 0o155) + '\164' + '\x66' + chr(988 - 943) + chr(0b11 + 0o65)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\xf4_$\xd4\xe6\xa2'), '\144' + chr(4001 - 3900) + chr(0b1100011) + '\157' + chr(4092 - 3992) + chr(3137 - 3036))('\165' + '\x74' + '\146' + chr(0b101101) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5\x96\x06+'), '\x64' + '\145' + chr(0b1100011) + chr(0b1101111) + chr(0b10010 + 0o122) + '\145')(chr(0b1010010 + 0o43) + chr(8538 - 8422) + chr(102) + '\055' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\xc6\x017\xc3\xf5\xb5'), chr(0b11100 + 0o110) + chr(911 - 810) + '\143' + chr(0b1000000 + 0o57) + '\x64' + '\x65')(chr(0b1110101) + '\164' + chr(10174 - 10072) + '\055' + chr(1940 - 1884)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\xd3\x1a'), chr(0b1011010 + 0o12) + chr(0b1100101) + '\143' + chr(0b111100 + 0o63) + chr(3080 - 2980) + chr(9164 - 9063))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(0b1001 + 0o44) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7\xc8\x1f&\x8b\xe4\xa9X\xa6,\xd5\xac'), '\144' + chr(0b1100101) + '\x63' + chr(5770 - 5659) + '\144' + chr(101))(chr(0b1110101) + '\164' + '\146' + chr(0b11 + 0o52) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xd4\x01,\xc5\xaa\xa7W\xae$'), chr(100) + chr(0b1100101) + chr(0b1010010 + 0o21) + chr(111) + chr(4854 - 4754) + chr(0b1100101))('\x75' + chr(1965 - 1849) + chr(2443 - 2341) + chr(45) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xd4\x01,\xc5\xaa\xb0[\xa9'), chr(0b1100100) + chr(3807 - 3706) + chr(8389 - 8290) + '\157' + '\144' + '\145')(chr(1353 - 1236) + chr(0b1110100) + chr(102) + chr(45) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\xd3\x1an\x9e\xf3\xae'), chr(0b1100100) + '\x65' + chr(99) + chr(0b10010 + 0o135) + chr(100) + '\x65')('\x75' + chr(116) + '\x66' + chr(1386 - 1341) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\xc8\x117\xc9\xf5\xa7@\xaf'), chr(0b1100100) + '\145' + '\x63' + chr(111) + chr(0b1011101 + 0o7) + chr(0b1100101))('\165' + '\x74' + chr(5861 - 5759) + chr(0b10011 + 0o32) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\xd5\x1d%\x8b\xf4\xa5\\\xa5&\xde'), chr(0b1100001 + 0o3) + chr(101) + chr(99) + '\157' + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(116) + chr(884 - 782) + chr(45) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\xd3\x1an\x90\xf3\xae'), '\x64' + '\145' + chr(99) + chr(111) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b1110100) + '\x66' + chr(0b10100 + 0o31) + chr(1286 - 1230)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5\x97\x06+'), '\144' + chr(101) + chr(0b1001010 + 0o31) + chr(8538 - 8427) + '\x64' + chr(0b1100101))(chr(0b1100111 + 0o16) + '\164' + chr(9898 - 9796) + '\055' + chr(91 - 35)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5\xd4\x06n\x92\xf3\xae'), chr(100) + chr(8570 - 8469) + '\x63' + chr(3761 - 3650) + '\144' + '\145')(chr(6153 - 6036) + chr(0b11010 + 0o132) + '\146' + chr(45) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\xd5\x170\xc5\xef\xa9[\xa6'), chr(0b1100100) + '\x65' + chr(347 - 248) + '\157' + chr(2228 - 2128) + chr(0b1010111 + 0o16))(chr(0b1110101) + '\x74' + '\x66' + chr(0b110 + 0o47) + chr(2808 - 2752)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5\x95\x06+'), chr(100) + chr(0b1100101) + chr(0b111 + 0o134) + chr(111) + chr(4606 - 4506) + chr(101))('\x75' + chr(0b1000001 + 0o63) + '\146' + chr(0b101101) + chr(56))], xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\xc6\x00*\xd2\xe6\xaak\xb9=\xd3\xbd\x00\x99'), chr(0b1100100) + '\145' + chr(0b1100011) + '\157' + chr(0b1010010 + 0o22) + '\x65')(chr(117) + chr(13316 - 13200) + chr(0b1000101 + 0o41) + chr(0b101101) + chr(0b111000)): [xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\xc6\x001\xcf\xe2\xa2\x19\xa9 \xc4\xe4\x06\x9a\x08\x18p\xc2'), chr(100) + chr(101) + '\143' + chr(0b1101111) + chr(2913 - 2813) + chr(0b111111 + 0o46))(chr(117) + chr(0b1110100) + '\x66' + chr(0b1000 + 0o45) + chr(0b100001 + 0o27)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\xce\x04,\xd4\xe4\xa3P'), '\x64' + '\x65' + chr(2643 - 2544) + chr(111) + chr(0b11101 + 0o107) + chr(552 - 451))('\x75' + chr(0b1011001 + 0o33) + '\146' + '\x2d' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\xc6\x001\xcf\xe2\xa2\x19\xb99\xdd\xbc\x06\x8fJ\x0ca\xd4TE\x17'), chr(4628 - 4528) + '\145' + '\143' + chr(111) + '\144' + '\x65')(chr(0b100110 + 0o117) + '\x74' + chr(8682 - 8580) + chr(0b1101 + 0o40) + chr(0b101111 + 0o11)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\xc2\x04&\xd4\xaa\xabU\xb8;\xdb\xac\x11'), '\144' + '\x65' + chr(0b101 + 0o136) + chr(10445 - 10334) + chr(0b1100 + 0o130) + '\x65')(chr(13470 - 13353) + '\164' + '\x66' + chr(45) + chr(792 - 736)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7\xc2\x02"\xd4\xe6\xb2Q\xae'), chr(0b10101 + 0o117) + '\x65' + chr(0b1001101 + 0o26) + chr(3735 - 3624) + chr(0b1011101 + 0o7) + chr(0b1100101))('\165' + '\164' + '\146' + '\x2d' + chr(0b0 + 0o70)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\xc6\x001\xcf\xe2\xa2\x19\x8b\x0f\x9f\xba\x05\x85\x12\x1ef'), chr(0b1100100) + '\145' + chr(99) + chr(0b1101111) + chr(100) + '\x65')('\x75' + '\x74' + chr(335 - 233) + chr(570 - 525) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\xce\x16,\xd1\xe2\xa2'), '\x64' + chr(101) + chr(0b10101 + 0o116) + '\x6f' + '\x64' + chr(0b1100101))(chr(117) + '\164' + chr(102) + chr(311 - 266) + chr(0b110101 + 0o3))], xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\xc2\x1e"\xd2\xee\xa9Z\xb9!\xdb\xb9'), chr(0b100100 + 0o100) + chr(0b101110 + 0o67) + chr(0b10100 + 0o117) + '\x6f' + chr(0b1100100) + chr(837 - 736))(chr(0b110011 + 0o102) + chr(0b101100 + 0o110) + '\146' + chr(0b11101 + 0o20) + chr(0b111000)): [xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\xd2\x01!\xc7\xe9\xa2'), chr(0b1100100) + '\145' + '\x63' + '\157' + '\144' + chr(0b1100101))(chr(0b1110101) + chr(5940 - 5824) + '\x66' + chr(0b101101) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\xc8\x06n\xcf\xe9\xebR\xab$\xdb\xa5\x0c'), chr(6203 - 6103) + chr(101) + '\143' + chr(0b1101111) + chr(6483 - 6383) + chr(101))('\165' + chr(0b1110100) + chr(102) + chr(45) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\xce\x14&'), chr(100) + chr(5993 - 5892) + chr(2886 - 2787) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b101110 + 0o106) + '\146' + chr(45) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb\xd0\x1cn\xc5\xef\xafX\xae'), '\x64' + chr(0b1011001 + 0o14) + chr(99) + chr(111) + chr(100) + chr(101))(chr(0b1110101) + chr(10521 - 10405) + chr(0b111011 + 0o53) + chr(1792 - 1747) + chr(924 - 868)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\xc9\x1f"\xd4\xf5\xafQ\xae'), '\144' + chr(5339 - 5238) + '\x63' + '\157' + chr(100) + chr(3421 - 3320))('\x75' + chr(116) + chr(1680 - 1578) + chr(0b101101) + chr(1886 - 1830)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb\xd3\x1a&\xd4\xaa\xb4Q\xa6(\xc6\xa0\x03\x8f'), chr(3861 - 3761) + '\145' + '\x63' + chr(111) + chr(5161 - 5061) + chr(0b1010100 + 0o21))(chr(117) + '\x74' + '\x66' + '\055' + chr(0b101110 + 0o12))], xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\xc8\x00(\xc5\xeb\xa7G\xb9'), chr(0b1100100) + '\x65' + chr(0b111001 + 0o52) + '\x6f' + '\x64' + chr(0b1100101))(chr(0b1010010 + 0o43) + '\164' + chr(102) + '\055' + chr(0b111000)): [xafqLlk3kkUe(SXOLrMavuUCe(b"\xd7\xc2\x1e%\x8b\xe2\xabD\xe7'\xdd\xbdX\x83\t\x0e"), chr(100) + chr(101) + '\x63' + chr(12257 - 12146) + chr(100) + '\x65')('\x75' + chr(0b1110100) + chr(102) + chr(753 - 708) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\xd5\x1b5\xc7\xf3\xa3'), chr(0b100111 + 0o75) + '\x65' + chr(99) + chr(0b1101111) + chr(0b1100001 + 0o3) + '\x65')('\x75' + chr(116) + chr(0b1100110) + chr(45) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7\xd3\x137\xc3\xaa\xa1[\xbc'), '\144' + '\x65' + chr(99) + '\157' + '\x64' + '\x65')(chr(117) + '\164' + chr(102) + chr(45) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xc2\x16&\xd4\xe6\xaa\x19\xad&\xc4'), '\144' + '\145' + chr(0b1100011) + chr(11204 - 11093) + chr(0b1100100 + 0o0) + '\145')('\165' + '\164' + chr(10347 - 10245) + chr(0b101101) + chr(1550 - 1494)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8\xc8\x11"\xca\xaa\xa1[\xbc'), chr(0b10101 + 0o117) + chr(0b1101 + 0o130) + '\x63' + '\157' + chr(100) + chr(0b111101 + 0o50))(chr(117) + chr(116) + chr(0b111111 + 0o47) + '\x2d' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb'), chr(100) + '\145' + chr(99) + chr(3254 - 3143) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b1010 + 0o152) + chr(5193 - 5091) + chr(1330 - 1285) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7\xc2\x1e%\x8b\xe2\xabD\xe7 \xdc\xaa'), chr(1093 - 993) + chr(101) + chr(6937 - 6838) + chr(111) + chr(0b1100100) + chr(0b110110 + 0o57))(chr(117) + chr(0b1110100) + chr(4660 - 4558) + chr(1583 - 1538) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\xce\x06+\xc9\xf2\xb2\x19\xba(\xcb'), chr(100) + chr(101) + chr(5713 - 5614) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(1164 - 1047) + chr(0b1110100) + chr(0b101 + 0o141) + '\x2d' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\xc2\x04&\xd4\xaa\xb1[\xb8"\xd7\xad'), chr(0b1001101 + 0o27) + '\x65' + '\143' + chr(7673 - 7562) + chr(0b1100100) + '\145')(chr(0b11100 + 0o131) + chr(2589 - 2473) + chr(0b101 + 0o141) + '\055' + chr(56))]}
zzI5oXyCM7vQ = [[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xc3\x07 \xc7\xf3\xaf[\xa4'), chr(0b11101 + 0o107) + chr(101) + chr(0b10011 + 0o120) + '\x6f' + '\144' + chr(102 - 1))(chr(0b1110101) + chr(116) + chr(102) + '\055' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b"\xeb\xc4\x116\xd6\xe6\xb2]\xa5'"), chr(0b110 + 0o136) + '\145' + '\143' + '\157' + '\144' + '\145')(chr(9896 - 9779) + chr(0b100111 + 0o115) + chr(0b1100110) + chr(1103 - 1058) + chr(0b10001 + 0o47))], [xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xc6\x06*\xd0\xe2\x99W\xa5<\xdc\xbd\x07\x93'), chr(1637 - 1537) + chr(773 - 672) + '\143' + chr(111) + '\144' + '\x65')(chr(0b1110101) + chr(116) + chr(102) + chr(648 - 603) + chr(0b10110 + 0o42)), xafqLlk3kkUe(SXOLrMavuUCe(b"\xeb\xc4\x116\xd6\xe6\xb2]\xa5'"), '\x64' + chr(0b1010101 + 0o20) + chr(426 - 327) + chr(111) + chr(3369 - 3269) + '\145')(chr(117) + chr(0b1110100) + chr(4207 - 4105) + chr(1020 - 975) + chr(0b101011 + 0o15))], [xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\xc0\x17\x1c\xc4\xf2\xa5_\xaf=\xc1'), chr(4293 - 4193) + chr(101) + chr(2504 - 2405) + chr(0b1100 + 0o143) + chr(100) + '\x65')(chr(117) + chr(9511 - 9395) + chr(0b1100110) + chr(0b11101 + 0o20) + chr(0b110010 + 0o6)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xc3\x07 \xc7\xf3\xaf[\xa4'), '\x64' + chr(0b1100101) + chr(697 - 598) + '\x6f' + chr(0b1000001 + 0o43) + chr(2775 - 2674))(chr(5620 - 5503) + chr(116) + '\146' + '\x2d' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b"\xeb\xc4\x116\xd6\xe6\xb2]\xa5'"), chr(100) + chr(8609 - 8508) + chr(0b1010001 + 0o22) + chr(0b1101111) + '\144' + chr(101))(chr(0b1101000 + 0o15) + '\x74' + chr(6612 - 6510) + '\055' + chr(91 - 35))]]
IBK4k5l23wek = [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(911 - 863) + chr(111) + chr(51) + '\061', 35042 - 35034), ehT0Px3KOsy9(chr(2129 - 2081) + chr(9744 - 9633) + chr(629 - 578) + chr(0b100011 + 0o23), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b11101 + 0o122) + chr(948 - 896) + chr(0b100010 + 0o21), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\065' + chr(48), 8), ehT0Px3KOsy9('\x30' + '\157' + '\065' + chr(248 - 195), 17676 - 17668), ehT0Px3KOsy9('\060' + '\157' + chr(54) + chr(1699 - 1649), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110110) + chr(713 - 658), 19619 - 19611), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110111) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + '\x31' + chr(0b1001 + 0o47) + chr(1908 - 1859), 0o10)]
Yq9VcknRtoQP = [xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\xc8\x00(\xc5\xeb\xa7G\xb9'), chr(0b110100 + 0o60) + '\x65' + chr(4269 - 4170) + '\157' + chr(100) + chr(3835 - 3734))(chr(0b1110101) + '\164' + '\146' + '\055' + chr(1539 - 1483)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xc3\x07 \xc7\xf3\xaf[\xa4'), chr(0b1100100) + '\x65' + '\143' + '\157' + chr(2115 - 2015) + '\x65')(chr(13242 - 13125) + '\x74' + '\146' + '\055' + chr(0b111000 + 0o0)), xafqLlk3kkUe(SXOLrMavuUCe(b"\xe3\xc2\x1c'\xc3\xf5"), chr(0b100011 + 0o101) + chr(101) + chr(99) + chr(0b1101111) + chr(100) + chr(101))(chr(0b1110101) + '\x74' + chr(102) + chr(0b0 + 0o55) + chr(0b110110 + 0o2)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\xc2\x1e"\xd2\xee\xa9Z\xb9!\xdb\xb9'), chr(0b100111 + 0o75) + chr(0b1000100 + 0o41) + chr(99) + '\x6f' + chr(0b1100100) + chr(0b110101 + 0o60))('\x75' + chr(116) + chr(102) + chr(0b101101) + '\x38')]
TFdJyR0EFdCd = [xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xc6\x06*\xd0\xe2\x99W\xa5<\xdc\xbd\x07\x93'), chr(0b10111 + 0o115) + chr(2306 - 2205) + chr(5593 - 5494) + chr(111) + chr(100) + chr(0b1100101))('\x75' + '\164' + chr(0b1100110) + chr(0b100011 + 0o12) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b"\xeb\xc4\x116\xd6\xe6\xb2]\xa5'"), chr(0b11 + 0o141) + '\x65' + '\x63' + chr(0b1011111 + 0o20) + chr(6643 - 6543) + chr(0b110110 + 0o57))(chr(117) + '\164' + chr(5493 - 5391) + '\055' + chr(0b101010 + 0o16))]
sH8zs1YPwIqx = [xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\xc0\x17'), chr(100) + '\x65' + chr(0b10101 + 0o116) + '\x6f' + chr(100) + chr(2704 - 2603))(chr(0b10100 + 0o141) + chr(0b111111 + 0o65) + chr(0b1100110) + chr(0b101101 + 0o0) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xc3\x07 \xc7\xf3\xaf[\xa4\x16\xdc\xbc\x18'), '\144' + '\145' + '\x63' + '\x6f' + chr(100) + chr(0b11000 + 0o115))('\165' + '\x74' + '\146' + chr(0b10000 + 0o35) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xc6\x02*\xd2\xe6\xaak\xad(\xdb\xa7'), chr(0b1100100) + '\x65' + chr(7954 - 7855) + chr(111) + chr(0b1 + 0o143) + '\145')('\165' + '\164' + chr(5918 - 5816) + chr(0b101101) + chr(2096 - 2040)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xc6\x02*\xd2\xe6\xaak\xa6&\xc1\xba'), chr(1426 - 1326) + '\x65' + '\143' + chr(0b1101111) + chr(0b110101 + 0o57) + '\x65')(chr(0b1110101) + chr(0b110011 + 0o101) + chr(0b1110 + 0o130) + chr(0b101101) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xec\xc8\x071\xd5\xd8\xb6Q\xb8\x16\xc5\xac\x10\x81'), chr(0b1100100) + chr(0b1100101) + chr(8180 - 8081) + '\x6f' + chr(0b1100100) + '\145')(chr(1369 - 1252) + chr(0b1110100) + chr(0b10110 + 0o120) + '\x2d' + '\x38')]
uXMK81tmdpTM = [xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8'), '\144' + '\x65' + '\x63' + '\157' + chr(7832 - 7732) + '\145')('\165' + '\164' + chr(0b1100110) + chr(45) + chr(1696 - 1640)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xba'), chr(1578 - 1478) + '\x65' + chr(0b1100011) + chr(111) + chr(6829 - 6729) + chr(6508 - 6407))('\x75' + chr(116) + chr(102) + chr(0b101101) + chr(56))]
CEblV5AMFcDa = ehT0Px3KOsy9('\x30' + chr(0b1011011 + 0o24) + '\x31' + '\x37' + chr(53) + chr(0b10110 + 0o32), 25123 - 25115)
oM6BWGYolfCe = c2A0yzQpDQB3(zzI5oXyCM7vQ) * CEblV5AMFcDa
JsTnLecI9AZh = c2A0yzQpDQB3(sH8zs1YPwIqx) + c2A0yzQpDQB3(TFdJyR0EFdCd)
for Qa2uSJqQPT3w in Yq9VcknRtoQP:
JsTnLecI9AZh += c2A0yzQpDQB3(ZurRofCOPiUM[Qa2uSJqQPT3w])
vfm3yqdi6BGN = []
qU2EsvQicwnc = []
LP6K67RVrj6Q = []
with _fwkIVCGgtAN(FuOGN1fmfS81) as EGyt1xfPT1P6:
for TAK9K32TkBdA in f608OInISFJB(EGyt1xfPT1P6, fieldnames=KgO0_i01tCfn):
xafqLlk3kkUe(vfm3yqdi6BGN, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\xd7\x02&\xc8\xe3'), chr(100) + chr(0b1001010 + 0o33) + chr(7145 - 7046) + '\x6f' + chr(100) + chr(0b10111 + 0o116))(chr(0b1110101) + chr(0b1011111 + 0o25) + '\146' + '\055' + chr(0b1100 + 0o54)))(xafqLlk3kkUe(uXMK81tmdpTM, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc\xc3\x1d4\xf4\xe5\x8c\x7f\x90\x1e\xfe\xf0'), chr(0b100110 + 0o76) + chr(101) + '\143' + chr(0b1001 + 0o146) + chr(0b111101 + 0o47) + '\x65')('\165' + '\164' + '\x66' + chr(183 - 138) + chr(0b111000)))(xafqLlk3kkUe(TAK9K32TkBdA[xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\xc9\x11,\xcb\xe2\x99V\xb8(\xd1\xa2\x10\x9e'), '\144' + '\145' + '\143' + chr(3028 - 2917) + chr(4593 - 4493) + chr(0b1100101))('\x75' + chr(4843 - 4727) + chr(0b1100110) + chr(1913 - 1868) + chr(0b111000))], xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\xd3\x00*\xd6'), '\144' + chr(137 - 36) + '\x63' + '\x6f' + '\x64' + chr(8756 - 8655))(chr(4919 - 4802) + '\164' + '\146' + '\x2d' + '\x38'))()[ehT0Px3KOsy9('\x30' + chr(111) + chr(414 - 366), 0b1000)]))
for (WVxHKyX45z_L, AIgvIWQd9onz) in YlkZvXL8qwsX(zzI5oXyCM7vQ):
if AIgvIWQd9onz[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(48), 8)] == xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\xc0\x17\x1c\xc4\xf2\xa5_\xaf=\xc1'), chr(0b10000 + 0o124) + chr(101) + chr(0b10001 + 0o122) + chr(0b1101111) + '\x64' + chr(0b1100101))('\x75' + chr(0b1110100) + chr(0b100110 + 0o100) + chr(1064 - 1019) + chr(1167 - 1111)):
TrtOiapsNNsh = WqUC3KWvYVup.digitize(kkSX4ccExqw4(TAK9K32TkBdA[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\xc0\x17'), chr(0b1100100) + chr(101) + '\143' + chr(111) + '\x64' + chr(0b0 + 0o145))(chr(0b10111 + 0o136) + '\x74' + chr(102) + chr(0b101101) + '\x38')]), IBK4k5l23wek)
vGrByMSYMp9h = xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb'), '\x64' + chr(0b1100101) + chr(0b101011 + 0o70) + chr(0b1101111) + chr(0b1100100) + '\x65')('\165' + chr(116) + chr(0b10 + 0o144) + '\055' + chr(56))._oWXztVNnqHF([TAK9K32TkBdA[Qa2uSJqQPT3w].strip() for Qa2uSJqQPT3w in AIgvIWQd9onz[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001), 42827 - 42819):]])
vGrByMSYMp9h += xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb'), chr(0b1000000 + 0o44) + chr(0b1100101) + chr(99) + '\x6f' + chr(0b1100100) + chr(1442 - 1341))(chr(0b1010101 + 0o40) + chr(9511 - 9395) + chr(0b1000101 + 0o41) + '\x2d' + chr(0b1001 + 0o57)) + M8_cKLkHVB2V(TrtOiapsNNsh)
xafqLlk3kkUe(qU2EsvQicwnc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\xd7\x02&\xc8\xe3'), chr(0b1000110 + 0o36) + chr(2163 - 2062) + chr(4181 - 4082) + '\157' + chr(100) + '\x65')('\165' + '\164' + chr(0b1100110) + chr(45) + chr(2100 - 2044)))((WVxHKyX45z_L * CEblV5AMFcDa + xfhwxiBOH72k(vGrByMSYMp9h) % CEblV5AMFcDa, 1.0))
else:
vGrByMSYMp9h = xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb'), chr(0b1000110 + 0o36) + chr(101) + chr(99) + '\157' + '\x64' + chr(101))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(1791 - 1746) + '\x38')._oWXztVNnqHF([TAK9K32TkBdA[Qa2uSJqQPT3w].strip() for Qa2uSJqQPT3w in AIgvIWQd9onz])
xafqLlk3kkUe(qU2EsvQicwnc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\xd7\x02&\xc8\xe3'), chr(1447 - 1347) + chr(0b10111 + 0o116) + chr(0b10010 + 0o121) + chr(0b1101111) + '\144' + chr(0b1000011 + 0o42))(chr(0b1110101) + chr(1276 - 1160) + chr(0b110000 + 0o66) + chr(59 - 14) + chr(0b10110 + 0o42)))((WVxHKyX45z_L * CEblV5AMFcDa + xfhwxiBOH72k(vGrByMSYMp9h) % CEblV5AMFcDa, 1.0))
pvsn9tZRYNMw = [ehT0Px3KOsy9(chr(1471 - 1423) + '\157' + '\x30', 8)] * JsTnLecI9AZh
cUOXANjEUP8f = ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110000), 8)
for Qa2uSJqQPT3w in TFdJyR0EFdCd:
pvsn9tZRYNMw[cUOXANjEUP8f] = xfhwxiBOH72k(TAK9K32TkBdA[Qa2uSJqQPT3w].strip()) % CEblV5AMFcDa
cUOXANjEUP8f += ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(9424 - 9313) + chr(49), 8)
for Qa2uSJqQPT3w in Yq9VcknRtoQP:
pvsn9tZRYNMw[cUOXANjEUP8f + ZurRofCOPiUM[Qa2uSJqQPT3w].XdowRbJKZWL9(TAK9K32TkBdA[Qa2uSJqQPT3w].VmIJF6Fy6LrX())] = 1.0
cUOXANjEUP8f += c2A0yzQpDQB3(ZurRofCOPiUM[Qa2uSJqQPT3w])
for Qa2uSJqQPT3w in sH8zs1YPwIqx:
pvsn9tZRYNMw[cUOXANjEUP8f] = kkSX4ccExqw4(TAK9K32TkBdA[Qa2uSJqQPT3w].VmIJF6Fy6LrX())
cUOXANjEUP8f += ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31', 8)
xafqLlk3kkUe(LP6K67RVrj6Q, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\xd7\x02&\xc8\xe3'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(0b111110 + 0o47))(chr(0b1000111 + 0o56) + chr(116) + chr(102) + '\055' + '\070'))(pvsn9tZRYNMw)
BGqtzsYiRc30 = [N7j7ePTXzzI0[ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11011 + 0o26), 8)] for N7j7ePTXzzI0 in qU2EsvQicwnc]
kqMfpk_OGiDG = [N7j7ePTXzzI0[ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\060', 8)] for N7j7ePTXzzI0 in qU2EsvQicwnc]
yl7jnclvh6BY = vQr8gNKaIaWE(ehT0Px3KOsy9(chr(48) + '\x6f' + '\060', 8), c2A0yzQpDQB3(kqMfpk_OGiDG) + ehT0Px3KOsy9(chr(0b110000) + chr(358 - 247) + '\x31', 8), c2A0yzQpDQB3(zzI5oXyCM7vQ))
mn3aa_XdWyYO = CIVheOt0RKQX.nd.sparse.csr_matrix((BGqtzsYiRc30, kqMfpk_OGiDG, yl7jnclvh6BY), shape=(c2A0yzQpDQB3(vfm3yqdi6BGN), CEblV5AMFcDa * c2A0yzQpDQB3(zzI5oXyCM7vQ)))
zIf4i4DukV8Y = WqUC3KWvYVup.B0ePDhpqxN5n(LP6K67RVrj6Q)
TRUOLFLuD08x = WqUC3KWvYVup.B0ePDhpqxN5n(vfm3yqdi6BGN)
return (mn3aa_XdWyYO, zIf4i4DukV8Y, TRUOLFLuD08x)
|
apache/incubator-mxnet
|
python/mxnet/gluon/trainer.py
|
Trainer._init_params
|
def _init_params(self):
"""Initialize parameters in the KVStore.
Parameters with incomplete initialization are ignored.
"""
assert self._kv_initialized, "Cannot initialize parameters in KVStore " \
"when KVStore is not initialized."
params_to_init = []
if self._kvstore:
for param in self._params_to_init:
if param._deferred_init:
params_to_init.append(param)
else:
param_arrays = param._check_and_get(param._data, list)
idx = self._param2idx[param.name]
self._kvstore.init(idx, param_arrays[0])
if param._stype == 'default':
self._kvstore.pull(idx, param_arrays, priority=-idx)
self._params_to_init = params_to_init
|
python
|
def _init_params(self):
"""Initialize parameters in the KVStore.
Parameters with incomplete initialization are ignored.
"""
assert self._kv_initialized, "Cannot initialize parameters in KVStore " \
"when KVStore is not initialized."
params_to_init = []
if self._kvstore:
for param in self._params_to_init:
if param._deferred_init:
params_to_init.append(param)
else:
param_arrays = param._check_and_get(param._data, list)
idx = self._param2idx[param.name]
self._kvstore.init(idx, param_arrays[0])
if param._stype == 'default':
self._kvstore.pull(idx, param_arrays, priority=-idx)
self._params_to_init = params_to_init
|
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] |
Initialize parameters in the KVStore.
Parameters with incomplete initialization are ignored.
|
[
"Initialize",
"parameters",
"in",
"the",
"KVStore",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/trainer.py#L137-L157
|
train
|
Initialize parameters in the KVStore.
|
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(51) + chr(0b11 + 0o55) + '\063', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(223 - 171) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\063' + '\x30', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(0b10100 + 0o34) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101100 + 0o13) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10101 + 0o36) + chr(50) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + '\061' + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(7380 - 7269) + chr(50) + '\x31' + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1111 + 0o42) + '\064' + chr(0b1010 + 0o55), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(0b110110) + chr(0b110100 + 0o2), 0o10), ehT0Px3KOsy9(chr(1395 - 1347) + chr(279 - 168) + chr(2376 - 2325) + '\x30', 60992 - 60984), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(51) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(883 - 772) + chr(0b10011 + 0o37) + chr(971 - 920) + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\064', 0b1000), ehT0Px3KOsy9(chr(2231 - 2183) + chr(111) + chr(0b101110 + 0o4) + chr(2098 - 2049), 4940 - 4932), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(8409 - 8298) + chr(1889 - 1839) + chr(53) + chr(53), 16165 - 16157), ehT0Px3KOsy9(chr(611 - 563) + chr(111) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + chr(49) + '\x35' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1584 - 1536) + chr(8831 - 8720) + chr(0b110110) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061' + '\060' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(0b110011) + chr(2580 - 2526), 8), ehT0Px3KOsy9('\060' + chr(11318 - 11207) + '\x32' + '\x31' + chr(0b101011 + 0o7), 57323 - 57315), ehT0Px3KOsy9(chr(48) + chr(0b1000 + 0o147) + '\063' + chr(0b110010) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(546 - 435) + chr(0b101100 + 0o5) + chr(0b10110 + 0o41) + chr(0b11111 + 0o23), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(49) + chr(2823 - 2768) + chr(2432 - 2382), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b110001) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10010 + 0o42) + chr(0b1001 + 0o54), 29017 - 29009), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + chr(0b10111 + 0o34) + chr(0b110011) + chr(337 - 282), 0o10), ehT0Px3KOsy9(chr(1176 - 1128) + chr(111) + '\063' + chr(0b11 + 0o61) + chr(0b110011), 20497 - 20489), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b110001) + chr(621 - 573), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(502 - 454) + chr(111) + chr(0b11100 + 0o25) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11110 + 0o121) + '\061' + chr(0b110011) + chr(0b11101 + 0o27), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1193 - 1082) + '\x37' + chr(0b101011 + 0o6), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1010000 + 0o37) + chr(0b11111 + 0o30) + chr(0b10001 + 0o44), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1111 + 0o140) + chr(51) + '\x31' + chr(294 - 240), 1249 - 1241), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\x32', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\064' + chr(0b1111 + 0o44), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(1648 - 1596) + chr(0b110101), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + '\x35' + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xed'), chr(8192 - 8092) + chr(0b101100 + 0o71) + chr(338 - 239) + chr(8743 - 8632) + chr(100) + '\145')(chr(117) + chr(11768 - 11652) + '\x66' + chr(0b101 + 0o50) + chr(0b101000 + 0o20)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZA2g9UpLKnnK(oVre8I6UXc3b):
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\x0c\xae\xdbU\xb8\xa5\xf9\x0e\x17t4\xe4au'), chr(100) + chr(101) + '\143' + chr(111) + chr(0b110001 + 0o63) + '\145')('\x75' + '\164' + chr(0b1011110 + 0o10) + chr(45) + chr(0b100000 + 0o30))), xafqLlk3kkUe(SXOLrMavuUCe(b'\x80\x06\xb6\xeaS\xa2\xec\xe4\t\x1fl4\xffhx\xd7cNB%\xec\xeb\xbd\x1f\x0e\xaeW\xac\xc3\xe1d-\x17on\xbauQs\xc5\xb4\x0f\xbd\xea\x1c\x9d\x9a\xde\x13\x19j8\xbemb\x8dh\x01Fd\xf7\xe4\xb9\x0e\x13\xaaI\xb6\x99\xedn#'), chr(100) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(0b101 + 0o137) + '\145')(chr(8014 - 7897) + '\x74' + chr(0b1100110) + chr(45) + chr(0b100001 + 0o27))
d1PtGswjrXbD = []
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xba%\x8b\xb1\n\xb0\xa0\xbd\x02\x17y+'), chr(6689 - 6589) + chr(8243 - 8142) + chr(0b1100011) + chr(0b110000 + 0o77) + chr(0b11 + 0o141) + chr(0b111110 + 0o47))(chr(4219 - 4102) + chr(0b1110100) + chr(0b1001011 + 0o33) + '\055' + chr(2737 - 2681))):
for NOaGA2BHucaX in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\x17\xb9\xf6]\xbb\xbf\xd2\x13\x19G4\xf0me'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(0b1000101 + 0o52) + chr(0b111011 + 0o51) + chr(101))(chr(5489 - 5372) + chr(3188 - 3072) + chr(0b1100110) + '\x2d' + chr(2440 - 2384))):
if xafqLlk3kkUe(NOaGA2BHucaX, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\x03\xbd\xe2Y\xa4\xbe\xe8\x03)q3\xf7p'), chr(100) + chr(3523 - 3422) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(116) + chr(102) + chr(45) + '\x38')):
xafqLlk3kkUe(d1PtGswjrXbD, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2\x17\xa8\xe1R\xb2'), chr(7726 - 7626) + chr(2898 - 2797) + chr(0b1100011) + chr(111) + chr(100) + chr(2594 - 2493))(chr(0b1110101) + chr(116) + '\x66' + chr(313 - 268) + chr(0b110011 + 0o5)))(NOaGA2BHucaX)
else:
IFj0xeHCaGrO = NOaGA2BHucaX._check_and_get(NOaGA2BHucaX.nxBQetk9oeQg, YyaZ4tpXu4lf)
YlqusYB6InkM = oVre8I6UXc3b._param2idx[NOaGA2BHucaX.AIvJRzLdDfgF]
xafqLlk3kkUe(oVre8I6UXc3b._kvstore, xafqLlk3kkUe(SXOLrMavuUCe(b'\x82R\x9f\xcdL\xbd\x88\xfe\x00&,\x08'), '\x64' + '\x65' + '\x63' + chr(111) + chr(100) + chr(8247 - 8146))(chr(0b1001010 + 0o53) + chr(2707 - 2591) + chr(2123 - 2021) + chr(0b101101) + '\x38'))(YlqusYB6InkM, IFj0xeHCaGrO[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1682 - 1634), 38504 - 38496)])
if xafqLlk3kkUe(NOaGA2BHucaX, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\x14\xac\xfdL\xb3'), chr(0b1100001 + 0o3) + chr(0b1100101) + chr(99) + chr(0b1101111) + '\144' + '\x65')('\165' + chr(0b1110100) + chr(6371 - 6269) + chr(0b10111 + 0o26) + '\x38')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7\x02\xbe\xe5I\xba\xb8'), chr(0b101110 + 0o66) + '\145' + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(101))('\165' + '\164' + chr(102) + chr(916 - 871) + chr(351 - 295)):
xafqLlk3kkUe(oVre8I6UXc3b._kvstore, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\x12\xb4\xe8'), chr(0b1100100) + chr(0b10 + 0o143) + '\x63' + chr(0b1101111) + '\144' + '\x65')(chr(117) + chr(0b1101000 + 0o14) + chr(7235 - 7133) + chr(870 - 825) + chr(56)))(YlqusYB6InkM, IFj0xeHCaGrO, priority=-YlqusYB6InkM)
oVre8I6UXc3b.jJ7CwH40fE75 = d1PtGswjrXbD
|
apache/incubator-mxnet
|
python/mxnet/gluon/trainer.py
|
Trainer._reset_kvstore
|
def _reset_kvstore(self):
"""Reset kvstore."""
if self._kvstore and 'dist' in self._kvstore.type:
raise RuntimeError("Cannot reset distributed KVStore.")
self._kv_initialized = False
self._kvstore = None
self._distributed = None
self._update_on_kvstore = None
self._params_to_init = [param for param in self._params]
|
python
|
def _reset_kvstore(self):
"""Reset kvstore."""
if self._kvstore and 'dist' in self._kvstore.type:
raise RuntimeError("Cannot reset distributed KVStore.")
self._kv_initialized = False
self._kvstore = None
self._distributed = None
self._update_on_kvstore = None
self._params_to_init = [param for param in self._params]
|
[
"def",
"_reset_kvstore",
"(",
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")",
":",
"if",
"self",
".",
"_kvstore",
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"'dist'",
"in",
"self",
".",
"_kvstore",
".",
"type",
":",
"raise",
"RuntimeError",
"(",
"\"Cannot reset distributed KVStore.\"",
")",
"self",
".",
"_kv_initialized",
"=",
"False",
"self",
".",
"_kvstore",
"=",
"None",
"self",
".",
"_distributed",
"=",
"None",
"self",
".",
"_update_on_kvstore",
"=",
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".",
"_params_to_init",
"=",
"[",
"param",
"for",
"param",
"in",
"self",
".",
"_params",
"]"
] |
Reset kvstore.
|
[
"Reset",
"kvstore",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/trainer.py#L159-L167
|
train
|
Reset the kvstore.
|
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(0b101010 + 0o105) + chr(50) + '\067' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(52) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100111 + 0o13) + chr(0b1011 + 0o53) + chr(0b100100 + 0o23), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b11111 + 0o22) + chr(49) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10100 + 0o36) + '\x36' + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(11323 - 11212) + chr(2491 - 2441) + chr(791 - 740) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(2478 - 2428) + chr(0b11001 + 0o32) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3639 - 3528) + '\062' + chr(0b110000) + chr(0b110011 + 0o1), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110111) + chr(0b100000 + 0o24), 0o10), ehT0Px3KOsy9(chr(1284 - 1236) + chr(111) + '\x31' + chr(0b110011) + '\x30', 62792 - 62784), ehT0Px3KOsy9('\060' + chr(111) + chr(1724 - 1674) + '\x37' + chr(0b110001 + 0o6), 43565 - 43557), ehT0Px3KOsy9('\060' + chr(4327 - 4216) + chr(520 - 471) + chr(0b11010 + 0o27) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + '\063' + chr(0b110111) + '\x34', 39418 - 39410), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + chr(0b110010) + '\x31' + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(690 - 641) + chr(0b110001) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001 + 0o1) + chr(0b0 + 0o67) + chr(2179 - 2124), 8), ehT0Px3KOsy9(chr(1890 - 1842) + '\x6f' + chr(0b11100 + 0o25) + '\060' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100100 + 0o13) + '\063' + chr(51) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1070 - 1021) + '\x34' + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001011 + 0o44) + chr(0b110001) + '\060' + chr(55), 0o10), ehT0Px3KOsy9(chr(2111 - 2063) + chr(111) + chr(1786 - 1736) + '\x30' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + '\062' + chr(1158 - 1104), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\x31' + chr(0b10111 + 0o37), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(94 - 45) + chr(48) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(0b110111) + '\x31', 35299 - 35291), ehT0Px3KOsy9(chr(48) + chr(222 - 111) + chr(51) + chr(0b10010 + 0o41) + chr(1114 - 1064), 0o10), ehT0Px3KOsy9(chr(495 - 447) + chr(0b1101111) + chr(0b110010) + '\065' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(54) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\x37' + '\064', 0b1000), ehT0Px3KOsy9(chr(1658 - 1610) + chr(6151 - 6040) + chr(0b110001) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(3645 - 3534) + chr(49) + '\066' + chr(0b100010 + 0o22), 0o10), ehT0Px3KOsy9(chr(893 - 845) + chr(111) + chr(0b110001) + '\063' + chr(52), 30090 - 30082), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b110010 + 0o4) + chr(0b11100 + 0o33), 18395 - 18387), ehT0Px3KOsy9(chr(1962 - 1914) + '\157' + '\x31' + chr(64 - 15) + '\062', 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\x34' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b110000) + chr(98 - 49), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + '\x32' + chr(51), 46538 - 46530), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(0b110 + 0o54) + chr(973 - 924) + chr(0b110100 + 0o2), 0b1000), ehT0Px3KOsy9(chr(50 - 2) + chr(5015 - 4904) + chr(0b10100 + 0o43) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + chr(0b110001) + chr(0b10111 + 0o32) + '\065', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(1959 - 1906) + '\x30', 14888 - 14880)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x90'), chr(3838 - 3738) + chr(0b1100101) + chr(5044 - 4945) + '\x6f' + chr(0b1000 + 0o134) + chr(101))(chr(117) + chr(0b101101 + 0o107) + chr(0b111101 + 0o51) + '\x2d' + chr(2249 - 2193)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def bPJBDHnRdbHS(oVre8I6UXc3b):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7a\xe4x\x82\xf8\xf7\xb4Y9\xde:'), chr(0b11101 + 0o107) + '\x65' + chr(6748 - 6649) + chr(111) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(6038 - 5922) + chr(0b1100110) + '\x2d' + chr(0b111000))) and xafqLlk3kkUe(SXOLrMavuUCe(b'\xdaJ\xc49'), '\x64' + '\145' + chr(378 - 279) + chr(111) + chr(4932 - 4832) + chr(0b1010011 + 0o22))(chr(11333 - 11216) + chr(0b1110100) + chr(102) + '\x2d' + chr(2470 - 2414)) in xafqLlk3kkUe(oVre8I6UXc3b._kvstore, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9N\xe6 \xcd\xfb\xcc\xc6Q\r\xcf:'), chr(0b1001001 + 0o33) + chr(1297 - 1196) + chr(99) + '\x6f' + '\144' + chr(0b1100101))(chr(0b1110101) + '\164' + '\146' + '\x2d' + chr(0b100111 + 0o21))):
raise n0ZkatoveZpF(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfdB\xd9#\xdb\xea\xbb\xf6Y+\xda8\xdc\xe8#\xcc2\xad\x0f%\xf0b+%\xd9\x91\xfc#\x08`\x069\xd9'), chr(743 - 643) + '\x65' + '\x63' + chr(0b1000110 + 0o51) + '\144' + chr(0b10 + 0o143))(chr(3191 - 3074) + '\x74' + '\x66' + chr(0b101101) + '\x38'))
oVre8I6UXc3b.i_uLSYv94jYE = ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1010110 + 0o31) + '\x30', 62769 - 62761)
oVre8I6UXc3b.yBS56fl0eaav = None
oVre8I6UXc3b.OA4KnYkYmQhq = None
oVre8I6UXc3b.NQV1AOMKh7rj = None
oVre8I6UXc3b.jJ7CwH40fE75 = [NOaGA2BHucaX for NOaGA2BHucaX in oVre8I6UXc3b.pHroJelArxJz]
|
apache/incubator-mxnet
|
python/mxnet/gluon/trainer.py
|
Trainer._init_kvstore
|
def _init_kvstore(self):
"""Create kvstore."""
config = self._kvstore_params
# configure kvstore, update_on_kvstore and self._distributed on three cases:
if self._contains_sparse_weight:
# If weight is sparse, kvstore must be present and the weight must be updated on kvstore.
# The training loop is the following:
# - row_sparse_pull(sparse_weight)
# - forward()
# - backward()
# - push_and_update(grad)
# - pull(weight)
kvstore, update_on_kvstore = _create_sparse_kvstore(config['kvstore'])
self._distributed = 'dist' in kvstore.type
# raise err if user provides unsupported configs
if config['update_on_kvstore'] is False:
raise ValueError("Cannot set update_on_kvstore=False when sparse weights "
"are present.")
elif self._contains_sparse_grad:
# For single node training with dense weight and sparse grad,
# we prefer update_on_kvstore=False because this is usually faster.
# This means we push and pull sparse gradients, and we do not store weight in kvstore.
# The training loop is the following:
# - forward()
# - backward()
# - push(grad)
# - pull(grad)
# - update(grad, weight)
#
# For multi-node training with dense weight and sparse grad,
# only update_on_kvstore=True is supported, due to the fact that
# kv.row_sparse_pull(grad) is not implemented.
# Therefore, we push sparse gradients and pull dense weights.
# The training loop contains:
# - forward()
# - backward()
# - push_and_update(grad)
# - pull(weight)
arg_arrays = {param.name: param.data(self._contexts[0]) for param in self._params}
kvstore, _ = _create_kvstore(config['kvstore'], len(self._contexts), arg_arrays)
self._distributed = 'dist' in kvstore.type if kvstore else False
update_on_kvstore = self._distributed
# raise err if user provides unsupported configs
if config['update_on_kvstore'] is not None:
if config['update_on_kvstore'] is False and self._distributed:
raise ValueError("Cannot set update_on_kvstore=False on dist kvstore "
"when sparse gradients are present.")
update_on_kvstore = config['update_on_kvstore']
else:
# Training with dense weight and dense gradients.
# The only unsupported mode is async with update_on_kvstore=False
arg_arrays = {param.name: param.data(self._contexts[0]) for param in self._params}
kvstore, update_on_kvstore = _create_kvstore(config['kvstore'], len(self._contexts),
arg_arrays)
self._distributed = 'dist' in kvstore.type if kvstore else False
if self._distributed and 'async' in kvstore.type:
update_on_kvstore = True
# raise err if user provides unsupported configs
if config['update_on_kvstore'] is False:
raise ValueError("Please set update_on_kvstore=True "
"when training in async mode.")
if config['update_on_kvstore'] is not None:
update_on_kvstore = config['update_on_kvstore']
# set grad compression and optimizers
if kvstore:
if self._compression_params:
kvstore.set_gradient_compression(self._compression_params)
if update_on_kvstore:
# optimizer preferably needs to be set before init for multiprecision
kvstore.set_optimizer(self._optimizer)
self._kvstore = kvstore
self._update_on_kvstore = update_on_kvstore
else:
self._kvstore = None
self._update_on_kvstore = None
self._kv_initialized = True
|
python
|
def _init_kvstore(self):
"""Create kvstore."""
config = self._kvstore_params
# configure kvstore, update_on_kvstore and self._distributed on three cases:
if self._contains_sparse_weight:
# If weight is sparse, kvstore must be present and the weight must be updated on kvstore.
# The training loop is the following:
# - row_sparse_pull(sparse_weight)
# - forward()
# - backward()
# - push_and_update(grad)
# - pull(weight)
kvstore, update_on_kvstore = _create_sparse_kvstore(config['kvstore'])
self._distributed = 'dist' in kvstore.type
# raise err if user provides unsupported configs
if config['update_on_kvstore'] is False:
raise ValueError("Cannot set update_on_kvstore=False when sparse weights "
"are present.")
elif self._contains_sparse_grad:
# For single node training with dense weight and sparse grad,
# we prefer update_on_kvstore=False because this is usually faster.
# This means we push and pull sparse gradients, and we do not store weight in kvstore.
# The training loop is the following:
# - forward()
# - backward()
# - push(grad)
# - pull(grad)
# - update(grad, weight)
#
# For multi-node training with dense weight and sparse grad,
# only update_on_kvstore=True is supported, due to the fact that
# kv.row_sparse_pull(grad) is not implemented.
# Therefore, we push sparse gradients and pull dense weights.
# The training loop contains:
# - forward()
# - backward()
# - push_and_update(grad)
# - pull(weight)
arg_arrays = {param.name: param.data(self._contexts[0]) for param in self._params}
kvstore, _ = _create_kvstore(config['kvstore'], len(self._contexts), arg_arrays)
self._distributed = 'dist' in kvstore.type if kvstore else False
update_on_kvstore = self._distributed
# raise err if user provides unsupported configs
if config['update_on_kvstore'] is not None:
if config['update_on_kvstore'] is False and self._distributed:
raise ValueError("Cannot set update_on_kvstore=False on dist kvstore "
"when sparse gradients are present.")
update_on_kvstore = config['update_on_kvstore']
else:
# Training with dense weight and dense gradients.
# The only unsupported mode is async with update_on_kvstore=False
arg_arrays = {param.name: param.data(self._contexts[0]) for param in self._params}
kvstore, update_on_kvstore = _create_kvstore(config['kvstore'], len(self._contexts),
arg_arrays)
self._distributed = 'dist' in kvstore.type if kvstore else False
if self._distributed and 'async' in kvstore.type:
update_on_kvstore = True
# raise err if user provides unsupported configs
if config['update_on_kvstore'] is False:
raise ValueError("Please set update_on_kvstore=True "
"when training in async mode.")
if config['update_on_kvstore'] is not None:
update_on_kvstore = config['update_on_kvstore']
# set grad compression and optimizers
if kvstore:
if self._compression_params:
kvstore.set_gradient_compression(self._compression_params)
if update_on_kvstore:
# optimizer preferably needs to be set before init for multiprecision
kvstore.set_optimizer(self._optimizer)
self._kvstore = kvstore
self._update_on_kvstore = update_on_kvstore
else:
self._kvstore = None
self._update_on_kvstore = None
self._kv_initialized = True
|
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"_kv_initialized",
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] |
Create kvstore.
|
[
"Create",
"kvstore",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/trainer.py#L169-L248
|
train
|
Create the kvstore.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(900 - 852) + chr(9165 - 9054) + chr(49 - 0) + chr(51), 19150 - 19142), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(53) + chr(1618 - 1566), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(1092 - 1041) + chr(55) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100001 + 0o16) + '\061' + chr(1699 - 1644) + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100 + 0o57) + '\x35' + chr(0b110111), 36117 - 36109), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + '\063' + '\065' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(782 - 734) + chr(111) + chr(0b110010) + chr(0b100 + 0o63) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11590 - 11479) + chr(50) + chr(0b110110) + chr(0b11110 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + chr(0b110011) + chr(745 - 692) + '\066', 58229 - 58221), ehT0Px3KOsy9(chr(48) + chr(0b1100111 + 0o10) + chr(0b101011 + 0o10) + '\062' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\067' + '\064', 41968 - 41960), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(288 - 236) + chr(1997 - 1948), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000001 + 0o56) + chr(1353 - 1304) + chr(50) + chr(50), 397 - 389), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(0b100100 + 0o16) + chr(0b110001) + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + '\062' + chr(1930 - 1882), 20502 - 20494), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b101100 + 0o11), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b1000 + 0o52) + chr(0b110110) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(1081 - 1028) + chr(0b110100), 59209 - 59201), ehT0Px3KOsy9(chr(98 - 50) + chr(0b11110 + 0o121) + chr(51) + '\066' + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(2608 - 2555) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(0b1000001 + 0o56) + chr(0b100001 + 0o21) + chr(0b110100 + 0o1) + chr(1243 - 1190), 26475 - 26467), ehT0Px3KOsy9(chr(48) + chr(0b100110 + 0o111) + '\062' + chr(0b100110 + 0o13) + chr(0b110 + 0o56), 0o10), ehT0Px3KOsy9(chr(1002 - 954) + chr(0b1101111) + chr(50) + '\x35' + chr(0b1101 + 0o45), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1100 + 0o46) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11000 + 0o127) + chr(52) + '\x30', 60603 - 60595), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(0b110111) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(49) + chr(0b100010 + 0o23), 8), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(1257 - 1146) + '\x31' + chr(0b110110) + chr(0b11000 + 0o33), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + '\x32' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(596 - 541) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3282 - 3171) + '\x31' + chr(0b110100) + chr(0b110111), 51743 - 51735), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + '\062' + '\060' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(4248 - 4137) + '\061' + chr(2383 - 2334), 8), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\x30' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\x33' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(1544 - 1496) + chr(0b110 + 0o151) + '\x31' + chr(0b1111 + 0o50), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(282 - 232) + chr(0b110010 + 0o0) + chr(830 - 781), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101001 + 0o10) + chr(0b110001) + chr(849 - 796), 0o10), ehT0Px3KOsy9(chr(578 - 530) + '\x6f' + '\062' + chr(48), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(953 - 905) + chr(0b1001101 + 0o42) + chr(2104 - 2051) + '\x30', 6472 - 6464)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'%'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\157' + chr(8751 - 8651) + chr(101))(chr(5018 - 4901) + chr(0b1110100) + chr(0b1100110) + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZkSEc7D_xMY8(oVre8I6UXc3b):
jAj7S20Ct06o = oVre8I6UXc3b._kvstore_params
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'Tj\x03\x92\x0e\x8e\x84\xd0\xc1\xb1\xa1\x0c\x80 \xfe\xf5R\xc0\x89\x99I\xc5\xf8'), chr(0b1100011 + 0o1) + chr(0b1100101) + '\x63' + chr(0b10010 + 0o135) + chr(0b1000 + 0o134) + chr(0b1100101))(chr(11823 - 11706) + chr(0b1101 + 0o147) + chr(10144 - 10042) + '\x2d' + '\x38')):
(Dlwsb3sX_cE9, nvCDOV9Kw0Jr) = YNKV9xO7EK4F(jAj7S20Ct06o[xafqLlk3kkUe(SXOLrMavuUCe(b'`\x7f\x1f\x88\x15\x9d\x88'), chr(100) + chr(3396 - 3295) + '\143' + chr(0b101111 + 0o100) + chr(8892 - 8792) + '\x65')('\165' + '\x74' + '\146' + chr(0b1110 + 0o37) + '\x38')])
oVre8I6UXc3b.OA4KnYkYmQhq = xafqLlk3kkUe(SXOLrMavuUCe(b'o`\x1f\x88'), chr(1682 - 1582) + chr(0b111000 + 0o55) + chr(0b1100011) + chr(0b1000000 + 0o57) + chr(0b1011101 + 0o7) + chr(0b1100101))('\165' + '\x74' + chr(0b1001110 + 0o30) + chr(448 - 403) + chr(56)) in Dlwsb3sX_cE9.wmQmyeWBmUpv
if jAj7S20Ct06o[xafqLlk3kkUe(SXOLrMavuUCe(b'~y\x08\x9d\x0e\x8a\xb2\xd1\xdc\xb1\xb9\n\x92&\xe2\xe2h'), chr(0b1100100) + chr(4859 - 4758) + '\143' + chr(7426 - 7315) + chr(0b110011 + 0o61) + chr(272 - 171))(chr(0b1001001 + 0o54) + chr(8213 - 8097) + chr(0b100010 + 0o104) + chr(45) + chr(1863 - 1807))] is ehT0Px3KOsy9('\060' + '\157' + chr(0b101100 + 0o4), 0b1000):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'Hh\x02\x92\x15\x9b\xcd\xcd\xd7\x9a\xf2\t\x916\xec\xe4h\xe8\x83\x9eq\xc6\xfa\xd9cOH\xe8N\xd5]\x0b\xf5l\xa2\xedg\xf4#0xy\r\x8e\t\x8a\xcd\xc9\xd7\x87\xb5\x14\x95!\xad\xf1\x7f\xd2\xcc\x80\\\xc8\xff\xcfyT\x14'), '\144' + chr(101) + chr(0b1100011) + '\x6f' + chr(100) + '\x65')(chr(0b1110101) + '\164' + chr(0b1011001 + 0o15) + chr(0b110 + 0o47) + chr(238 - 182)))
elif xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'Tj\x03\x92\x0e\x8e\x84\xd0\xc1\xb1\xa1\x0c\x80 \xfe\xf5R\xd0\x9e\x91J'), chr(0b101011 + 0o71) + chr(0b1100101) + chr(0b1010101 + 0o16) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))('\165' + chr(116) + chr(0b1100110) + chr(0b11101 + 0o20) + chr(56))):
UID9bv6APUBD = {NOaGA2BHucaX.AIvJRzLdDfgF: NOaGA2BHucaX.ULnjp6D6efFH(oVre8I6UXc3b._contexts[ehT0Px3KOsy9('\060' + chr(1460 - 1349) + chr(0b110000), 8)]) for NOaGA2BHucaX in oVre8I6UXc3b.pHroJelArxJz}
(Dlwsb3sX_cE9, VNGQdHSFPrso) = ZNmqNxQ78i5a(jAj7S20Ct06o[xafqLlk3kkUe(SXOLrMavuUCe(b'`\x7f\x1f\x88\x15\x9d\x88'), '\x64' + '\x65' + chr(5644 - 5545) + chr(0b1101111) + chr(100) + '\x65')('\165' + chr(0b1100 + 0o150) + chr(0b100010 + 0o104) + '\x2d' + chr(0b111000))], c2A0yzQpDQB3(oVre8I6UXc3b._contexts), UID9bv6APUBD)
oVre8I6UXc3b.OA4KnYkYmQhq = xafqLlk3kkUe(SXOLrMavuUCe(b'o`\x1f\x88'), chr(0b1100100) + chr(0b11100 + 0o111) + '\143' + chr(305 - 194) + '\x64' + '\145')(chr(117) + chr(116) + chr(0b1100110) + '\x2d' + chr(2798 - 2742)) in Dlwsb3sX_cE9.wmQmyeWBmUpv if Dlwsb3sX_cE9 else ehT0Px3KOsy9(chr(48) + '\x6f' + chr(48), 8)
nvCDOV9Kw0Jr = oVre8I6UXc3b.OA4KnYkYmQhq
if jAj7S20Ct06o[xafqLlk3kkUe(SXOLrMavuUCe(b'~y\x08\x9d\x0e\x8a\xb2\xd1\xdc\xb1\xb9\n\x92&\xe2\xe2h'), chr(100) + '\145' + chr(99) + chr(0b1101111) + '\x64' + chr(4083 - 3982))(chr(117) + '\164' + chr(102) + chr(0b10000 + 0o35) + chr(0b111000))] is not None:
if jAj7S20Ct06o[xafqLlk3kkUe(SXOLrMavuUCe(b'~y\x08\x9d\x0e\x8a\xb2\xd1\xdc\xb1\xb9\n\x92&\xe2\xe2h'), '\x64' + chr(9336 - 9235) + chr(0b10111 + 0o114) + chr(0b1101111) + '\x64' + chr(101))(chr(117) + chr(116) + chr(102) + chr(45) + chr(56))] is ehT0Px3KOsy9(chr(283 - 235) + chr(0b111100 + 0o63) + chr(772 - 724), 8) and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'DHX\xb7\x14\xb6\x86\xe7\xdf\xbf\xba\r'), chr(100) + chr(0b11 + 0o142) + '\x63' + chr(10743 - 10632) + chr(100) + '\x65')(chr(0b1110101) + chr(0b1110010 + 0o2) + chr(0b1001001 + 0o35) + chr(0b101101) + chr(0b111000))):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'Hh\x02\x92\x15\x9b\xcd\xcd\xd7\x9a\xf2\t\x916\xec\xe4h\xe8\x83\x9eq\xc6\xfa\xd9cOH\xe8N\xd5]\x0b\xf5l\xa2\xf5a\xb1)yx}L\x97\x0c\x9c\x99\xd1\xc0\x8b\xf2\x0b\x897\xe3\xb0~\xc7\x8d\x82]\xc8\xac\xcdeA^\xe4\x16\xfdH\x14\xa6h\xf0\xff/\xe1?uxl\x02\x88T'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(3138 - 3037))(chr(117) + chr(0b1110100) + '\146' + chr(45) + chr(0b111000)))
nvCDOV9Kw0Jr = jAj7S20Ct06o[xafqLlk3kkUe(SXOLrMavuUCe(b'~y\x08\x9d\x0e\x8a\xb2\xd1\xdc\xb1\xb9\n\x92&\xe2\xe2h'), chr(5859 - 5759) + chr(0b1100101) + chr(9238 - 9139) + '\157' + '\144' + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1100110) + '\055' + chr(0b1011 + 0o55))]
else:
UID9bv6APUBD = {NOaGA2BHucaX.AIvJRzLdDfgF: NOaGA2BHucaX.ULnjp6D6efFH(oVre8I6UXc3b._contexts[ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b11 + 0o154) + chr(1246 - 1198), 8)]) for NOaGA2BHucaX in oVre8I6UXc3b.pHroJelArxJz}
(Dlwsb3sX_cE9, nvCDOV9Kw0Jr) = ZNmqNxQ78i5a(jAj7S20Ct06o[xafqLlk3kkUe(SXOLrMavuUCe(b'`\x7f\x1f\x88\x15\x9d\x88'), '\144' + '\145' + '\143' + '\x6f' + chr(0b1000 + 0o134) + chr(0b1011100 + 0o11))(chr(117) + chr(0b1110100) + chr(0b1000100 + 0o42) + chr(538 - 493) + '\x38')], c2A0yzQpDQB3(oVre8I6UXc3b._contexts), UID9bv6APUBD)
oVre8I6UXc3b.OA4KnYkYmQhq = xafqLlk3kkUe(SXOLrMavuUCe(b'o`\x1f\x88'), chr(100) + chr(0b1100101) + chr(99) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(4240 - 4123) + chr(0b1000001 + 0o63) + '\x66' + chr(1194 - 1149) + '\x38') in Dlwsb3sX_cE9.wmQmyeWBmUpv if Dlwsb3sX_cE9 else ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\060', 8)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'DHX\xb7\x14\xb6\x86\xe7\xdf\xbf\xba\r'), chr(1563 - 1463) + chr(6000 - 5899) + chr(0b101001 + 0o72) + chr(0b1101111) + '\144' + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(8200 - 8098) + chr(45) + chr(3083 - 3027))) and xafqLlk3kkUe(SXOLrMavuUCe(b'jz\x15\x92\x19'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(9962 - 9851) + '\144' + '\x65')(chr(117) + chr(116) + '\x66' + chr(45) + chr(0b111000)) in xafqLlk3kkUe(Dlwsb3sX_cE9, xafqLlk3kkUe(SXOLrMavuUCe(b'|d=\x91\x03\x8a\xba\xfc\xdf\xbb\xa2\n'), chr(0b1100100) + chr(101) + '\x63' + chr(1683 - 1572) + chr(0b1100100) + '\x65')('\165' + chr(0b1110100) + '\x66' + chr(1831 - 1786) + chr(0b111000))):
nvCDOV9Kw0Jr = ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49), 45575 - 45567)
if jAj7S20Ct06o[xafqLlk3kkUe(SXOLrMavuUCe(b'~y\x08\x9d\x0e\x8a\xb2\xd1\xdc\xb1\xb9\n\x92&\xe2\xe2h'), chr(100) + chr(101) + chr(99) + chr(0b1000 + 0o147) + '\144' + chr(101))(chr(0b110111 + 0o76) + '\x74' + '\146' + chr(0b101101) + chr(0b10001 + 0o47))] is ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(0b101101 + 0o3), 8):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'[e\t\x9d\t\x8a\xcd\xcd\xd7\x9a\xf2\t\x916\xec\xe4h\xe8\x83\x9eq\xc6\xfa\xd9cOH\xe8N\xc7N\x12\xe3)\xf5\xf2j\xffmdyh\x05\x92\x13\x81\x8a\x9e\xdb\x80\xf2\x1d\x92+\xe3\xf3-\xda\x83\x94K\x83'), chr(0b1100100) + chr(0b110110 + 0o57) + chr(1379 - 1280) + chr(111) + chr(0b1100100) + '\145')('\165' + chr(3179 - 3063) + chr(6080 - 5978) + chr(0b1101 + 0o40) + '\070'))
if jAj7S20Ct06o[xafqLlk3kkUe(SXOLrMavuUCe(b'~y\x08\x9d\x0e\x8a\xb2\xd1\xdc\xb1\xb9\n\x92&\xe2\xe2h'), chr(100) + chr(0b1100101) + '\x63' + '\x6f' + chr(100) + chr(8834 - 8733))(chr(117) + chr(116) + '\146' + chr(45) + '\070')] is not None:
nvCDOV9Kw0Jr = jAj7S20Ct06o[xafqLlk3kkUe(SXOLrMavuUCe(b'~y\x08\x9d\x0e\x8a\xb2\xd1\xdc\xb1\xb9\n\x92&\xe2\xe2h'), chr(1178 - 1078) + '\145' + chr(0b1100011) + chr(111) + '\144' + '\145')(chr(117) + chr(11904 - 11788) + chr(8340 - 8238) + chr(983 - 938) + chr(0b111000))]
if Dlwsb3sX_cE9:
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'Tj\x03\x91\n\x9d\x88\xcd\xc1\x87\xbd\x12\xbe"\xec\xe2l\xda\x9f'), '\x64' + '\x65' + '\x63' + '\157' + '\x64' + chr(1661 - 1560))(chr(2027 - 1910) + chr(0b1101111 + 0o5) + chr(102) + chr(0b110 + 0o47) + chr(0b10001 + 0o47))):
xafqLlk3kkUe(Dlwsb3sX_cE9, xafqLlk3kkUe(SXOLrMavuUCe(b'xl\x18\xa3\x1d\x9d\x8c\xda\xdb\x8b\xbc\x08\xbe1\xe2\xfd}\xc5\x89\x83]\xc4\xe3\xc4'), '\144' + chr(0b1100101) + '\143' + '\157' + '\144' + '\145')('\165' + chr(0b1101 + 0o147) + chr(0b1100110) + chr(0b1010 + 0o43) + '\070'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'Tj\x03\x91\n\x9d\x88\xcd\xc1\x87\xbd\x12\xbe"\xec\xe2l\xda\x9f'), '\144' + chr(891 - 790) + chr(4477 - 4378) + chr(111) + chr(4189 - 4089) + chr(0b1011001 + 0o14))('\165' + chr(116) + chr(102) + chr(870 - 825) + '\x38')))
if nvCDOV9Kw0Jr:
xafqLlk3kkUe(Dlwsb3sX_cE9, xafqLlk3kkUe(SXOLrMavuUCe(b'xl\x18\xa3\x15\x9f\x99\xd7\xdf\x87\xa8\x19\x93'), chr(100) + chr(101) + chr(0b1100011 + 0o0) + '\x6f' + '\144' + chr(7872 - 7771))('\x75' + chr(0b1110100) + chr(8967 - 8865) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'~o-\xa5\t\xa3\xdc\xd4\xde\xa1\xb48'), chr(5009 - 4909) + '\145' + '\143' + '\157' + '\144' + chr(0b1100101))('\x75' + '\164' + chr(0b1100110) + chr(866 - 821) + chr(345 - 289))))
oVre8I6UXc3b.yBS56fl0eaav = Dlwsb3sX_cE9
oVre8I6UXc3b.NQV1AOMKh7rj = nvCDOV9Kw0Jr
else:
oVre8I6UXc3b.yBS56fl0eaav = None
oVre8I6UXc3b.NQV1AOMKh7rj = None
oVre8I6UXc3b.i_uLSYv94jYE = ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061', 8)
|
apache/incubator-mxnet
|
python/mxnet/gluon/trainer.py
|
Trainer.set_learning_rate
|
def set_learning_rate(self, lr):
"""Sets a new learning rate of the optimizer.
Parameters
----------
lr : float
The new learning rate of the optimizer.
"""
if not isinstance(self._optimizer, opt.Optimizer):
raise UserWarning("Optimizer has to be defined before its learning "
"rate is mutated.")
else:
self._optimizer.set_learning_rate(lr)
|
python
|
def set_learning_rate(self, lr):
"""Sets a new learning rate of the optimizer.
Parameters
----------
lr : float
The new learning rate of the optimizer.
"""
if not isinstance(self._optimizer, opt.Optimizer):
raise UserWarning("Optimizer has to be defined before its learning "
"rate is mutated.")
else:
self._optimizer.set_learning_rate(lr)
|
[
"def",
"set_learning_rate",
"(",
"self",
",",
"lr",
")",
":",
"if",
"not",
"isinstance",
"(",
"self",
".",
"_optimizer",
",",
"opt",
".",
"Optimizer",
")",
":",
"raise",
"UserWarning",
"(",
"\"Optimizer has to be defined before its learning \"",
"\"rate is mutated.\"",
")",
"else",
":",
"self",
".",
"_optimizer",
".",
"set_learning_rate",
"(",
"lr",
")"
] |
Sets a new learning rate of the optimizer.
Parameters
----------
lr : float
The new learning rate of the optimizer.
|
[
"Sets",
"a",
"new",
"learning",
"rate",
"of",
"the",
"optimizer",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/trainer.py#L258-L270
|
train
|
Sets a new learning rate of the optimizer.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(0b110001) + chr(0b110101), 12605 - 12597), ehT0Px3KOsy9('\060' + chr(8217 - 8106) + chr(0b110010) + chr(0b11011 + 0o27) + '\060', 0o10), ehT0Px3KOsy9(chr(305 - 257) + chr(0b100110 + 0o111) + chr(1464 - 1414) + '\060' + chr(1150 - 1099), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100 + 0o153) + chr(0b110001) + chr(0b110110) + chr(129 - 80), 33777 - 33769), ehT0Px3KOsy9(chr(1736 - 1688) + '\157' + '\x32' + chr(0b110101) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(651 - 601) + chr(0b10110 + 0o36) + '\x37', 0b1000), ehT0Px3KOsy9(chr(2080 - 2032) + chr(10088 - 9977) + chr(1411 - 1360) + chr(0b101111 + 0o2) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\x30' + chr(1762 - 1714), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(0b100110 + 0o13) + chr(0b10101 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(1397 - 1349) + '\x6f' + '\x31' + '\x34', 0b1000), ehT0Px3KOsy9(chr(1712 - 1664) + chr(0b1101111) + chr(52) + chr(0b110011), 19454 - 19446), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + '\063' + chr(48) + chr(987 - 938), 0o10), ehT0Px3KOsy9('\x30' + chr(9685 - 9574) + chr(0b110010) + '\x33' + chr(1017 - 969), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10100 + 0o37) + chr(0b100110 + 0o12) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6657 - 6546) + chr(194 - 143) + chr(80 - 25) + chr(53), 21546 - 21538), ehT0Px3KOsy9('\x30' + chr(2065 - 1954) + '\x35' + '\x30', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(53) + '\x36', 58272 - 58264), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(0b101100 + 0o6) + chr(0b110000 + 0o5) + chr(48), 13759 - 13751), ehT0Px3KOsy9(chr(0b110000) + chr(0b11101 + 0o122) + chr(269 - 218) + '\060' + chr(2270 - 2220), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + '\x37' + chr(0b101010 + 0o7), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\061' + chr(692 - 638), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(1752 - 1703) + chr(0b10111 + 0o36) + '\060', 0b1000), ehT0Px3KOsy9(chr(439 - 391) + '\157' + '\065' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b10101 + 0o33) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(143 - 92) + chr(0b100100 + 0o16) + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011011 + 0o24) + chr(1406 - 1355) + '\066' + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101000 + 0o7) + chr(0b110001) + chr(0b110011) + '\x33', 0b1000), ehT0Px3KOsy9(chr(1164 - 1116) + '\157' + chr(0b1011 + 0o51) + '\067', 0o10), ehT0Px3KOsy9(chr(334 - 286) + chr(5484 - 5373) + chr(0b110001) + chr(48) + chr(527 - 475), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010010 + 0o35) + chr(0b10011 + 0o37) + chr(0b110101) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1336 - 1288) + chr(0b1101111) + '\067' + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(51) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(333 - 284) + chr(0b100010 + 0o17), 0b1000), ehT0Px3KOsy9(chr(619 - 571) + '\x6f' + chr(398 - 348) + chr(52) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(55) + chr(0b110010), 47875 - 47867), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(1582 - 1533) + chr(0b100001 + 0o24) + chr(1549 - 1496), 6725 - 6717), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b110110) + chr(0b110101 + 0o1), 38266 - 38258), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + '\x31' + '\x31' + '\065', 32924 - 32916), ehT0Px3KOsy9(chr(48) + chr(9368 - 9257) + chr(50) + chr(0b110010 + 0o5), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(0b110010) + chr(0b110100), 40833 - 40825)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(10852 - 10741) + '\x35' + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3'), chr(0b1100100) + chr(101) + '\x63' + '\157' + '\144' + chr(6452 - 6351))('\165' + chr(0b101100 + 0o110) + chr(102) + '\x2d' + chr(156 - 100)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def S61TvYxlrdin(oVre8I6UXc3b, Zzs55KO_HKfp):
if not PlSM16l2KDPD(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xf6\xc2(\xdc\xeb\xfa\xea%CE\x85'), '\144' + chr(3567 - 3466) + chr(99) + '\157' + '\144' + chr(8375 - 8274))(chr(0b1100101 + 0o20) + chr(0b1000110 + 0o56) + chr(0b100010 + 0o104) + '\x2d' + chr(0b111000))), xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xe0\xf7\x18\xc2\xce\xb1\xe5;'), chr(0b1100100) + chr(7519 - 7418) + chr(0b1100011) + '\157' + chr(100) + chr(0b1100101))(chr(13312 - 13195) + '\164' + chr(0b1100110) + chr(45) + chr(888 - 832)))):
raise hOkXjmluKZfJ(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xe0\xf7\x18\xc2\xce\xb1\xe5;,K\xa0\xeb\xe6\x89GN\xca\xa7\x19\xaa\rJ\xac\xb8\x95?\x07&\xcc[\xf0{\xc3\xda\x04\xc2>7\xb8\xe8\xf1\xf1\x1f\xc6\xc9\xac\xa0;mW\xa4\xb8\xaf\x8e\x08\x03\xdd\xb6X\xba\rH\xeb'), chr(100) + '\x65' + chr(4296 - 4197) + chr(0b111111 + 0o60) + chr(4227 - 4127) + chr(0b100 + 0o141))(chr(0b1010011 + 0o42) + chr(116) + '\x66' + chr(45) + '\x38'))
else:
xafqLlk3kkUe(oVre8I6UXc3b._optimizer, xafqLlk3kkUe(SXOLrMavuUCe(b"\xfe\xf5\xf7.\xc3\xc2\xaa\xf2'eM\xa6\xc7\xb4\x9c\\\x0b"), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(5273 - 5162) + '\x64' + chr(0b1000001 + 0o44))(chr(117) + chr(0b1110100) + chr(1181 - 1079) + chr(0b101101) + chr(0b111000)))(Zzs55KO_HKfp)
|
apache/incubator-mxnet
|
python/mxnet/gluon/trainer.py
|
Trainer._row_sparse_pull
|
def _row_sparse_pull(self, parameter, out, row_id, full_idx=False):
"""Internal method to invoke pull operations on KVStore. If `full_idx` is set to True,
`kv.pull` is preferred instead of `kv.row_sparse_pull`.
"""
# initialize kv and params if not already
if not self._kv_initialized:
self._init_kvstore()
if self._params_to_init:
self._init_params()
idx = self._param2idx[parameter.name]
if full_idx and 'dist' not in self._kvstore.type:
assert row_id.size == out.shape[0]
self._kvstore.pull(idx, out=out, priority=-idx, ignore_sparse=False)
else:
self._kvstore.row_sparse_pull(idx, out=out, row_ids=row_id, priority=-idx)
|
python
|
def _row_sparse_pull(self, parameter, out, row_id, full_idx=False):
"""Internal method to invoke pull operations on KVStore. If `full_idx` is set to True,
`kv.pull` is preferred instead of `kv.row_sparse_pull`.
"""
# initialize kv and params if not already
if not self._kv_initialized:
self._init_kvstore()
if self._params_to_init:
self._init_params()
idx = self._param2idx[parameter.name]
if full_idx and 'dist' not in self._kvstore.type:
assert row_id.size == out.shape[0]
self._kvstore.pull(idx, out=out, priority=-idx, ignore_sparse=False)
else:
self._kvstore.row_sparse_pull(idx, out=out, row_ids=row_id, priority=-idx)
|
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Internal method to invoke pull operations on KVStore. If `full_idx` is set to True,
`kv.pull` is preferred instead of `kv.row_sparse_pull`.
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/trainer.py#L272-L286
|
train
|
Internal method to invoke pull operations on KVStore.
|
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(796 - 746) + chr(0b1 + 0o60) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(5999 - 5888) + chr(0b100111 + 0o20) + chr(395 - 345), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(51) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\066' + chr(1248 - 1198), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110011 + 0o74) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110 + 0o56) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1850 - 1802) + chr(0b1001001 + 0o46) + chr(0b10001 + 0o41) + chr(0b110011) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(9247 - 9136) + chr(50) + '\067' + chr(0b10001 + 0o40), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(2321 - 2270) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1010 + 0o47) + chr(1529 - 1478) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110010 + 0o75) + chr(0b11011 + 0o27) + chr(1520 - 1468) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + chr(0b10001 + 0o42) + '\062' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10692 - 10581) + '\x33' + '\x36' + chr(55), 15741 - 15733), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(1676 - 1624), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b11110 + 0o26) + chr(1737 - 1688), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10062 - 9951) + chr(0b101100 + 0o13) + chr(2150 - 2098), ord("\x08")), ehT0Px3KOsy9(chr(340 - 292) + chr(111) + chr(0b1011 + 0o47) + chr(48) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + '\062' + '\062' + chr(53), 28636 - 28628), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1110 + 0o44) + chr(53) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10584 - 10473) + chr(0b110010) + chr(53) + '\x31', 0b1000), ehT0Px3KOsy9(chr(1420 - 1372) + chr(0b1101111) + chr(0b110001) + chr(0b1111 + 0o45) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + '\x32' + chr(0b110110) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\x30' + chr(52), 8), ehT0Px3KOsy9(chr(48) + chr(0b1001110 + 0o41) + chr(0b101011 + 0o7) + chr(2287 - 2232) + chr(0b10111 + 0o37), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(6247 - 6136) + chr(0b110011) + '\x34' + chr(1255 - 1202), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110101 + 0o72) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b110100 + 0o0) + chr(54), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100 + 0o57) + chr(0b110000) + chr(0b100110 + 0o15), 34742 - 34734), ehT0Px3KOsy9(chr(48) + chr(4415 - 4304) + '\062' + chr(50) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\066' + chr(0b110100), 56610 - 56602), ehT0Px3KOsy9(chr(2019 - 1971) + chr(111) + chr(0b111 + 0o53) + chr(0b101100 + 0o10) + chr(52), 5898 - 5890), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100011 + 0o20) + chr(0b110000), 52095 - 52087), ehT0Px3KOsy9('\060' + '\157' + chr(0b110100) + '\063', 0b1000), ehT0Px3KOsy9(chr(561 - 513) + '\157' + chr(0b110001 + 0o0) + chr(0b110001) + chr(0b110101), 51363 - 51355), ehT0Px3KOsy9(chr(751 - 703) + chr(839 - 728) + '\062' + '\064' + chr(52), 8), ehT0Px3KOsy9('\060' + chr(7421 - 7310) + '\x31' + '\x31' + '\x35', 8), ehT0Px3KOsy9('\060' + chr(0b1000110 + 0o51) + chr(715 - 665) + chr(0b110010) + chr(0b110100), 63865 - 63857), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(2238 - 2186) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(1261 - 1210) + '\067' + chr(49), 6479 - 6471), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(50), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110101) + chr(0b10010 + 0o36), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5'), chr(0b100100 + 0o100) + chr(0b1100101) + chr(0b1010001 + 0o22) + '\x6f' + chr(0b10011 + 0o121) + chr(1253 - 1152))(chr(0b1100010 + 0o23) + chr(5292 - 5176) + '\146' + chr(455 - 410) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def iJ6Gg9Mfiwvq(oVre8I6UXc3b, Sur8CJUVRGCp, UkrMp_I0RDmo, i5x7vQ8iubH7, vFJ5feEE_dqL=ehT0Px3KOsy9(chr(0b110000) + chr(11680 - 11569) + chr(48), 0b1000)):
if not xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2e*~U~\xea\x80-2\xff\x92'), '\144' + '\145' + chr(99) + '\x6f' + chr(100) + chr(0b1100101))(chr(9130 - 9013) + chr(0b11001 + 0o133) + chr(102) + chr(45) + chr(0b11011 + 0o35))):
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4S1[rx\xf7\xcfj,\xc9\xa5\x92'), chr(0b1100100) + '\145' + chr(0b1100011) + '\x6f' + chr(0b1100100 + 0o0) + chr(9388 - 9287))('\165' + chr(116) + chr(0b1100110) + chr(882 - 837) + chr(1724 - 1668)))()
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1phqqo\xa8\x89\x7f\x1d\x91\xe2'), '\144' + chr(0b1100101) + chr(99) + chr(5356 - 5245) + '\144' + chr(648 - 547))(chr(1942 - 1825) + chr(0b1110100) + chr(8289 - 8187) + '\x2d' + '\070')):
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4S1[rx\xec\xd8k9\xcb\xa4'), chr(0b1100100) + chr(101) + chr(99) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(11774 - 11657) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(56)))()
YlqusYB6InkM = oVre8I6UXc3b._param2idx[Sur8CJUVRGCp.AIvJRzLdDfgF]
if vFJ5feEE_dqL and xafqLlk3kkUe(SXOLrMavuUCe(b'\xefS,F'), '\144' + chr(101) + '\143' + chr(0b1101111) + '\144' + chr(0b101 + 0o140))('\165' + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(56)) not in xafqLlk3kkUe(oVre8I6UXc3b._kvstore, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfcW\x0e_\x7fB\xcb\xfbt\r\xd6\xa1'), chr(3199 - 3099) + chr(0b1100101) + '\x63' + chr(111) + chr(100) + chr(0b1000001 + 0o44))(chr(10699 - 10582) + chr(0b1110100) + '\x66' + '\x2d' + chr(2050 - 1994))):
assert xafqLlk3kkUe(i5x7vQ8iubH7, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5v<Q5e\xdf\xf3w\t\xcd\xb6'), '\x64' + chr(5386 - 5285) + chr(99) + '\x6f' + chr(0b1000101 + 0o37) + chr(0b1100101))('\165' + chr(0b1000100 + 0o60) + '\146' + chr(0b101101) + chr(0b10110 + 0o42))) == xafqLlk3kkUe(UkrMp_I0RDmo, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5[*k`k\xfb\xd5M(\xc5\xb5'), chr(6454 - 6354) + '\x65' + chr(0b1001 + 0o132) + chr(0b101111 + 0o100) + chr(0b11110 + 0o106) + chr(101))(chr(0b1110101) + chr(116) + chr(102) + '\055' + chr(0b111000)))[ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101111 + 0o1), 8)]
xafqLlk3kkUe(oVre8I6UXc3b._kvstore, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfbO3^'), chr(446 - 346) + '\x65' + chr(0b1100011) + '\157' + chr(100) + chr(0b1100101))('\165' + chr(0b1101111 + 0o5) + '\146' + chr(45) + chr(0b111000)))(YlqusYB6InkM, out=UkrMp_I0RDmo, priority=-YlqusYB6InkM, ignore_sparse=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(48), 8))
else:
xafqLlk3kkUe(oVre8I6UXc3b._kvstore, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9U(muW\xfd\xcbj=\xf9\xa7\x82p\r'), chr(0b1100100) + '\x65' + chr(1130 - 1031) + '\x6f' + chr(0b1100100) + chr(7069 - 6968))(chr(1993 - 1876) + '\164' + chr(0b1100110) + chr(483 - 438) + chr(0b11000 + 0o40)))(YlqusYB6InkM, out=UkrMp_I0RDmo, row_ids=i5x7vQ8iubH7, priority=-YlqusYB6InkM)
|
apache/incubator-mxnet
|
python/mxnet/gluon/trainer.py
|
Trainer.step
|
def step(self, batch_size, ignore_stale_grad=False):
"""Makes one step of parameter update. Should be called after
`autograd.backward()` and outside of `record()` scope.
For normal parameter updates, `step()` should be used, which internally calls
`allreduce_grads()` and then `update()`. However, if you need to get the reduced
gradients to perform certain transformation, such as in gradient clipping, then
you may want to manually call `allreduce_grads()` and `update()` separately.
Parameters
----------
batch_size : int
Batch size of data processed. Gradient will be normalized by `1/batch_size`.
Set this to 1 if you normalized loss manually with `loss = mean(loss)`.
ignore_stale_grad : bool, optional, default=False
If true, ignores Parameters with stale gradient (gradient that has not
been updated by `backward` after last step) and skip update.
"""
rescale_grad = self._scale / batch_size
self._check_and_rescale_grad(rescale_grad)
if not self._kv_initialized:
self._init_kvstore()
if self._params_to_init:
self._init_params()
self._allreduce_grads()
self._update(ignore_stale_grad)
|
python
|
def step(self, batch_size, ignore_stale_grad=False):
"""Makes one step of parameter update. Should be called after
`autograd.backward()` and outside of `record()` scope.
For normal parameter updates, `step()` should be used, which internally calls
`allreduce_grads()` and then `update()`. However, if you need to get the reduced
gradients to perform certain transformation, such as in gradient clipping, then
you may want to manually call `allreduce_grads()` and `update()` separately.
Parameters
----------
batch_size : int
Batch size of data processed. Gradient will be normalized by `1/batch_size`.
Set this to 1 if you normalized loss manually with `loss = mean(loss)`.
ignore_stale_grad : bool, optional, default=False
If true, ignores Parameters with stale gradient (gradient that has not
been updated by `backward` after last step) and skip update.
"""
rescale_grad = self._scale / batch_size
self._check_and_rescale_grad(rescale_grad)
if not self._kv_initialized:
self._init_kvstore()
if self._params_to_init:
self._init_params()
self._allreduce_grads()
self._update(ignore_stale_grad)
|
[
"def",
"step",
"(",
"self",
",",
"batch_size",
",",
"ignore_stale_grad",
"=",
"False",
")",
":",
"rescale_grad",
"=",
"self",
".",
"_scale",
"/",
"batch_size",
"self",
".",
"_check_and_rescale_grad",
"(",
"rescale_grad",
")",
"if",
"not",
"self",
".",
"_kv_initialized",
":",
"self",
".",
"_init_kvstore",
"(",
")",
"if",
"self",
".",
"_params_to_init",
":",
"self",
".",
"_init_params",
"(",
")",
"self",
".",
"_allreduce_grads",
"(",
")",
"self",
".",
"_update",
"(",
"ignore_stale_grad",
")"
] |
Makes one step of parameter update. Should be called after
`autograd.backward()` and outside of `record()` scope.
For normal parameter updates, `step()` should be used, which internally calls
`allreduce_grads()` and then `update()`. However, if you need to get the reduced
gradients to perform certain transformation, such as in gradient clipping, then
you may want to manually call `allreduce_grads()` and `update()` separately.
Parameters
----------
batch_size : int
Batch size of data processed. Gradient will be normalized by `1/batch_size`.
Set this to 1 if you normalized loss manually with `loss = mean(loss)`.
ignore_stale_grad : bool, optional, default=False
If true, ignores Parameters with stale gradient (gradient that has not
been updated by `backward` after last step) and skip update.
|
[
"Makes",
"one",
"step",
"of",
"parameter",
"update",
".",
"Should",
"be",
"called",
"after",
"autograd",
".",
"backward",
"()",
"and",
"outside",
"of",
"record",
"()",
"scope",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/trainer.py#L298-L325
|
train
|
Makes one step of parameter update.
|
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(1495 - 1447) + '\157' + chr(0b110010) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100110 + 0o11) + '\063' + chr(53) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\x35' + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1131 - 1081) + chr(1355 - 1307) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100111 + 0o14) + chr(52) + chr(1933 - 1885), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\x35' + chr(0b11111 + 0o25), 7907 - 7899), ehT0Px3KOsy9(chr(2280 - 2232) + '\x6f' + '\x31' + '\065' + '\x36', 0b1000), ehT0Px3KOsy9(chr(913 - 865) + chr(0b111001 + 0o66) + '\x33' + '\x37' + chr(1164 - 1109), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10 + 0o61) + chr(0b110110 + 0o0) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b10101 + 0o40) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001101 + 0o42) + chr(0b1000 + 0o53) + chr(50) + chr(0b1000 + 0o56), 0b1000), ehT0Px3KOsy9(chr(2171 - 2123) + chr(4652 - 4541) + chr(0b110001) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b11001 + 0o126) + '\061' + chr(53) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1110 + 0o44) + chr(0b110010) + chr(0b1010 + 0o55), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11010 + 0o30) + '\064' + '\x37', 44149 - 44141), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b0 + 0o63) + '\067' + chr(0b10001 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + chr(0b110010) + chr(48) + chr(1075 - 1022), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100 + 0o153) + chr(0b11111 + 0o26) + '\066', 49103 - 49095), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(1901 - 1851) + chr(0b100101 + 0o22), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(0b110001) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(2100 - 2052) + chr(11893 - 11782) + '\x33' + chr(0b110100) + '\066', 47837 - 47829), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1198 - 1149) + chr(51) + chr(1348 - 1298), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(1362 - 1312) + '\060' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(2157 - 2109) + '\157' + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1010 + 0o51) + chr(2450 - 2395) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(0b110011) + chr(2605 - 2550) + chr(0b100111 + 0o14), 60364 - 60356), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9351 - 9240) + chr(1189 - 1139) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(10961 - 10850) + chr(0b11001 + 0o31) + chr(52 - 2) + chr(0b11 + 0o55), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(2297 - 2247) + chr(50) + chr(0b11100 + 0o25), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\x32', 8), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + '\x31' + chr(0b101110 + 0o4) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + chr(0b110110) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(470 - 422) + chr(0b1101111) + chr(0b110010) + chr(0b11100 + 0o32) + '\065', 49308 - 49300), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + chr(0b110011) + chr(641 - 589) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(1821 - 1773) + '\157' + chr(49) + chr(53) + chr(0b110011), 8), ehT0Px3KOsy9(chr(48) + chr(6445 - 6334) + '\061' + chr(2202 - 2148) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(5140 - 5029) + chr(50) + chr(0b110110) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(0b110000) + chr(55), 0o10), ehT0Px3KOsy9(chr(578 - 530) + chr(10125 - 10014) + chr(0b110001) + chr(50) + chr(0b100 + 0o54), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(10113 - 10002) + chr(0b1100 + 0o51) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'?'), chr(0b1100100) + '\145' + chr(99) + chr(111) + '\x64' + '\145')(chr(0b1001001 + 0o54) + chr(116) + chr(0b11 + 0o143) + chr(45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def kDuFsAhEatcU(oVre8I6UXc3b, ix9dZyeAmUxY, LABP7LtJ90uK=ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(48), 42941 - 42933)):
YSz6oP1ujznD = oVre8I6UXc3b._scale / ix9dZyeAmUxY
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'N\x8c\x07\xe7\x83\x071\x9e\x99\x8f\x89x\x0e\xe4\xc4\x98\xe9K\x08\xae\x94;\xe7'), '\144' + chr(10058 - 9957) + chr(99) + chr(0b1101111) + chr(0b111111 + 0o45) + '\x65')('\165' + chr(116) + chr(0b101 + 0o141) + chr(0b101101) + '\070'))(YSz6oP1ujznD)
if not xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'x\xb0\x1a\xce\xb35\x18\xc6\xc3\x81\x8fO'), '\x64' + chr(101) + chr(0b1100011) + '\157' + chr(100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\070')):
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'N\x86\x01\xeb\x943\x05\x89\x84\x9f\xb9x\x0e'), chr(4804 - 4704) + chr(0b110100 + 0o61) + chr(99) + '\x6f' + chr(100) + chr(0b1000100 + 0o41))('\165' + '\x74' + chr(0b11 + 0o143) + chr(0b101101) + chr(0b111000)))()
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'{\xa5X\xc1\x97$Z\xcf\x91\xae\xe1?'), chr(9400 - 9300) + chr(0b101 + 0o140) + chr(6510 - 6411) + chr(0b1101000 + 0o7) + chr(100) + chr(0b101100 + 0o71))(chr(117) + '\x74' + '\x66' + chr(0b11101 + 0o20) + chr(0b110010 + 0o6))):
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'N\x86\x01\xeb\x943\x1e\x9e\x85\x8a\xbby'), chr(100) + '\x65' + chr(9548 - 9449) + chr(0b1101111) + '\144' + chr(0b11101 + 0o110))('\x75' + chr(0b1011110 + 0o26) + chr(0b101 + 0o141) + chr(1553 - 1508) + '\x38'))()
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'N\x8e\x03\xee\x92\t\n\x8a\x94\x8e\x89m\x19\xf6\xc3\x8a'), '\x64' + chr(175 - 74) + chr(0b1100011) + chr(0b10101 + 0o132) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b1100001 + 0o23) + '\146' + chr(45) + '\070'))()
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'N\x9a\x1f\xe6\x81\x18\x0b'), chr(0b1111 + 0o125) + chr(0b11 + 0o142) + chr(8452 - 8353) + chr(111) + '\x64' + '\x65')(chr(0b1000011 + 0o62) + '\x74' + '\x66' + chr(0b101101) + chr(56)))(LABP7LtJ90uK)
|
apache/incubator-mxnet
|
python/mxnet/gluon/trainer.py
|
Trainer.allreduce_grads
|
def allreduce_grads(self):
"""For each parameter, reduce the gradients from different contexts.
Should be called after `autograd.backward()`, outside of `record()` scope,
and before `trainer.update()`.
For normal parameter updates, `step()` should be used, which internally calls
`allreduce_grads()` and then `update()`. However, if you need to get the reduced
gradients to perform certain transformation, such as in gradient clipping, then
you may want to manually call `allreduce_grads()` and `update()` separately.
"""
if not self._kv_initialized:
self._init_kvstore()
if self._params_to_init:
self._init_params()
assert not (self._kvstore and self._update_on_kvstore), \
'allreduce_grads() when parameters are updated on kvstore ' \
'is not supported. Try setting `update_on_kvstore` ' \
'to False when creating trainer.'
self._allreduce_grads()
|
python
|
def allreduce_grads(self):
"""For each parameter, reduce the gradients from different contexts.
Should be called after `autograd.backward()`, outside of `record()` scope,
and before `trainer.update()`.
For normal parameter updates, `step()` should be used, which internally calls
`allreduce_grads()` and then `update()`. However, if you need to get the reduced
gradients to perform certain transformation, such as in gradient clipping, then
you may want to manually call `allreduce_grads()` and `update()` separately.
"""
if not self._kv_initialized:
self._init_kvstore()
if self._params_to_init:
self._init_params()
assert not (self._kvstore and self._update_on_kvstore), \
'allreduce_grads() when parameters are updated on kvstore ' \
'is not supported. Try setting `update_on_kvstore` ' \
'to False when creating trainer.'
self._allreduce_grads()
|
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"'to False when creating trainer.'",
"self",
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"(",
")"
] |
For each parameter, reduce the gradients from different contexts.
Should be called after `autograd.backward()`, outside of `record()` scope,
and before `trainer.update()`.
For normal parameter updates, `step()` should be used, which internally calls
`allreduce_grads()` and then `update()`. However, if you need to get the reduced
gradients to perform certain transformation, such as in gradient clipping, then
you may want to manually call `allreduce_grads()` and `update()` separately.
|
[
"For",
"each",
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"reduce",
"the",
"gradients",
"from",
"different",
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"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/trainer.py#L327-L347
|
train
|
For each parameter reduce the gradients from different contexts.
|
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(233 - 122) + chr(0b110001) + '\064' + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1622 - 1573) + chr(0b11101 + 0o31) + chr(0b101011 + 0o10), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(160 - 111) + '\x31' + chr(1825 - 1776), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(8889 - 8778) + chr(0b1000 + 0o53) + chr(2200 - 2145) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10100 + 0o37) + chr(0b110001) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\066' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + '\063' + chr(0b11 + 0o55), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(54) + '\x37', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(294 - 244) + chr(0b1010 + 0o54), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(1761 - 1711) + chr(0b10110 + 0o33), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b110101 + 0o72) + '\062' + '\x36' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100101 + 0o112) + chr(0b101 + 0o55) + chr(1948 - 1894) + chr(50), 48437 - 48429), ehT0Px3KOsy9(chr(861 - 813) + chr(7330 - 7219) + '\064' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(2437 - 2386) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6778 - 6667) + chr(2244 - 2193) + '\x34' + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(0b11101 + 0o122) + chr(0b110010 + 0o1) + chr(0b110010) + chr(0b10 + 0o56), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(52) + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\060' + chr(48), 0o10), ehT0Px3KOsy9('\060' + chr(0b1100 + 0o143) + '\063' + chr(53) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(2140 - 2092) + chr(0b111111 + 0o60) + '\x32' + '\x36', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001 + 0o146) + chr(0b10 + 0o61) + chr(52) + chr(71 - 20), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + '\061' + '\x33' + '\x31', 0o10), ehT0Px3KOsy9(chr(1379 - 1331) + '\x6f' + chr(0b1101 + 0o44) + '\x30' + '\064', 4672 - 4664), ehT0Px3KOsy9(chr(2216 - 2168) + chr(0b101100 + 0o103) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10100 + 0o35) + '\x35' + chr(0b1110 + 0o44), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(0b101000 + 0o15) + chr(0b1000 + 0o52), 64532 - 64524), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(0b11111 + 0o23) + chr(0b110000) + '\x33', 0b1000), ehT0Px3KOsy9(chr(1428 - 1380) + chr(111) + chr(2096 - 2045) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(51) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101111 + 0o3) + chr(53) + chr(0b100000 + 0o21), ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(0b110011) + chr(1623 - 1570) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\065' + chr(717 - 663), ord("\x08")), ehT0Px3KOsy9(chr(1497 - 1449) + '\157' + '\062' + '\067', 39757 - 39749), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\061' + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(0b101111 + 0o7) + chr(49), 0o10), ehT0Px3KOsy9(chr(1519 - 1471) + '\157' + chr(438 - 389) + '\x35' + chr(0b110011 + 0o2), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(0b110100) + chr(0b10001 + 0o45), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\060' + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b110001) + chr(0b110000), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(10756 - 10645) + '\x35' + chr(1311 - 1263), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'M'), chr(0b1100100) + '\145' + '\x63' + chr(0b1001111 + 0o40) + chr(100) + chr(0b1011110 + 0o7))(chr(0b1101 + 0o150) + chr(1702 - 1586) + chr(0b1100110) + chr(45) + chr(2237 - 2181)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def F4FOsICFAAYW(oVre8I6UXc3b):
if not xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\n,<\xb5\x9d.nN3\xfc\x88\xf5'), chr(0b1100100) + '\145' + chr(6315 - 6216) + '\157' + '\144' + '\145')(chr(0b1110101) + chr(116) + chr(2635 - 2533) + chr(768 - 723) + '\x38')):
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"<\x1a'\x90\xba(s\x01t\xe2\xbe\xc2\xd7"), '\144' + chr(0b1100101) + chr(1026 - 927) + chr(111) + '\144' + '\x65')('\165' + chr(2845 - 2729) + chr(0b1100110) + '\055' + '\070'))()
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\t9~\xba\xb9?,Ga\xd3\xe6\x85'), '\144' + '\145' + chr(99) + chr(111) + '\144' + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(45) + chr(0b10110 + 0o42))):
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"<\x1a'\x90\xba(h\x16u\xf7\xbc\xc3"), chr(702 - 602) + chr(9684 - 9583) + '\x63' + '\157' + chr(100) + '\145')('\x75' + chr(116) + '\x66' + chr(45) + '\x38'))()
assert not (xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a1\x1a\xcc\xf8\x11tGb\xf7\xb0\xc6'), chr(0b100010 + 0o102) + '\145' + '\143' + '\157' + chr(0b1100100) + '\x65')('\165' + '\x74' + '\x66' + '\055' + chr(0b11000 + 0o40))) and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'-"\x1f\xc8\x8f8U<o\xa1\xa3\xda'), '\144' + '\145' + chr(0b1100011) + '\x6f' + chr(100) + chr(101))('\165' + chr(0b1110100) + '\x66' + chr(0b1010 + 0o43) + '\070'))), xafqLlk3kkUe(SXOLrMavuUCe(b"\x02\x1f%\x8b\xab\x13m\x14b\xc9\xb6\xc2\xd3A\xa8\xc9\xf9\x017\x83s\x8dy4e\x18\x8b\xeez\xec\xcc\x9d]7\xafC\x08\xc6\xb2\xf8\x07\x12=\x9c\xaaWw\x19'\xfd\xa7\xc3\xc6J\xa9\x84\xf0H3\xcbx\x8c-dw\x1f\x9a\xf3p\xea\xdd\x8aJ9\xeee\x1f\x9f\xe7\xfb\x06\x07=\x90\xa0\x108\x17r\xe6\xb5\xd1\xc6@\x84\x8e\xbe~+\x9de\x9766a\n\xca\xf7p\xb8\xef\x8eBd\xab\x11\x1a\x8e\xa2\xe6C\x10;\x9c\xaf\x03q\x19`\xb6\xa5\xc2\xd3L\xb5\x84\xa2\x0f"), chr(100) + chr(328 - 227) + chr(0b1100011) + chr(0b110001 + 0o76) + chr(0b1100100) + chr(101))(chr(0b1100011 + 0o22) + '\x74' + chr(0b1100110) + '\x2d' + '\070')
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'<\x12%\x95\xbc\x12|\x02d\xf3\x8e\xd7\xc0D\xbf\x92'), chr(0b11000 + 0o114) + chr(101) + chr(0b1011 + 0o130) + '\x6f' + '\144' + '\x65')('\165' + '\x74' + chr(102) + chr(45) + chr(56)))()
|
apache/incubator-mxnet
|
python/mxnet/gluon/trainer.py
|
Trainer.update
|
def update(self, batch_size, ignore_stale_grad=False):
"""Makes one step of parameter update.
Should be called after `autograd.backward()` and outside of `record()` scope,
and after `trainer.update()`.
For normal parameter updates, `step()` should be used, which internally calls
`allreduce_grads()` and then `update()`. However, if you need to get the reduced
gradients to perform certain transformation, such as in gradient clipping, then
you may want to manually call `allreduce_grads()` and `update()` separately.
Parameters
----------
batch_size : int
Batch size of data processed. Gradient will be normalized by `1/batch_size`.
Set this to 1 if you normalized loss manually with `loss = mean(loss)`.
ignore_stale_grad : bool, optional, default=False
If true, ignores Parameters with stale gradient (gradient that has not
been updated by `backward` after last step) and skip update.
"""
if not self._kv_initialized:
self._init_kvstore()
if self._params_to_init:
self._init_params()
assert not (self._kvstore and self._update_on_kvstore), \
'update() when parameters are updated on kvstore ' \
'is not supported. Try setting `update_on_kvstore` ' \
'to False when creating trainer.'
self._check_and_rescale_grad(self._scale / batch_size)
self._update(ignore_stale_grad)
|
python
|
def update(self, batch_size, ignore_stale_grad=False):
"""Makes one step of parameter update.
Should be called after `autograd.backward()` and outside of `record()` scope,
and after `trainer.update()`.
For normal parameter updates, `step()` should be used, which internally calls
`allreduce_grads()` and then `update()`. However, if you need to get the reduced
gradients to perform certain transformation, such as in gradient clipping, then
you may want to manually call `allreduce_grads()` and `update()` separately.
Parameters
----------
batch_size : int
Batch size of data processed. Gradient will be normalized by `1/batch_size`.
Set this to 1 if you normalized loss manually with `loss = mean(loss)`.
ignore_stale_grad : bool, optional, default=False
If true, ignores Parameters with stale gradient (gradient that has not
been updated by `backward` after last step) and skip update.
"""
if not self._kv_initialized:
self._init_kvstore()
if self._params_to_init:
self._init_params()
assert not (self._kvstore and self._update_on_kvstore), \
'update() when parameters are updated on kvstore ' \
'is not supported. Try setting `update_on_kvstore` ' \
'to False when creating trainer.'
self._check_and_rescale_grad(self._scale / batch_size)
self._update(ignore_stale_grad)
|
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",",
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"=",
"False",
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".",
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":",
"self",
".",
"_init_kvstore",
"(",
")",
"if",
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"_params_to_init",
":",
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")",
"assert",
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"_update_on_kvstore",
")",
",",
"'update() when parameters are updated on kvstore '",
"'is not supported. Try setting `update_on_kvstore` '",
"'to False when creating trainer.'",
"self",
".",
"_check_and_rescale_grad",
"(",
"self",
".",
"_scale",
"/",
"batch_size",
")",
"self",
".",
"_update",
"(",
"ignore_stale_grad",
")"
] |
Makes one step of parameter update.
Should be called after `autograd.backward()` and outside of `record()` scope,
and after `trainer.update()`.
For normal parameter updates, `step()` should be used, which internally calls
`allreduce_grads()` and then `update()`. However, if you need to get the reduced
gradients to perform certain transformation, such as in gradient clipping, then
you may want to manually call `allreduce_grads()` and `update()` separately.
Parameters
----------
batch_size : int
Batch size of data processed. Gradient will be normalized by `1/batch_size`.
Set this to 1 if you normalized loss manually with `loss = mean(loss)`.
ignore_stale_grad : bool, optional, default=False
If true, ignores Parameters with stale gradient (gradient that has not
been updated by `backward` after last step) and skip update.
|
[
"Makes",
"one",
"step",
"of",
"parameter",
"update",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/trainer.py#L359-L390
|
train
|
Makes one step of parameter update.
|
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(1058 - 1010) + chr(0b10 + 0o155) + chr(49) + chr(1232 - 1180), 46610 - 46602), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(1521 - 1472) + chr(52) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(4977 - 4866) + chr(1150 - 1101) + chr(2890 - 2835) + '\x34', 34507 - 34499), ehT0Px3KOsy9('\060' + chr(0b1101101 + 0o2) + '\x35' + chr(0b110011), 56142 - 56134), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(593 - 542) + chr(0b110011) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(55 - 7) + chr(0b1101111) + '\x37', 51495 - 51487), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(54) + '\062', 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(0b1110 + 0o45) + '\x31' + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(0b110001) + chr(55), 19679 - 19671), ehT0Px3KOsy9(chr(1868 - 1820) + chr(111) + '\061' + '\x35' + chr(51), 49281 - 49273), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b110111) + chr(0b110010), 59554 - 59546), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + '\063' + '\061' + chr(48), 23967 - 23959), ehT0Px3KOsy9(chr(475 - 427) + '\157' + '\x35' + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b110101) + '\063', 8), ehT0Px3KOsy9(chr(1803 - 1755) + chr(9746 - 9635) + chr(0b101110 + 0o5) + '\x34' + chr(0b100110 + 0o21), 37303 - 37295), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(52) + chr(0b1110 + 0o45), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + '\x32' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1867 - 1756) + chr(53) + chr(557 - 507), 0o10), ehT0Px3KOsy9('\x30' + chr(5534 - 5423) + chr(1475 - 1424) + '\064' + chr(2471 - 2417), 65372 - 65364), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + '\x37' + chr(0b101101 + 0o5), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(970 - 859) + chr(1279 - 1228) + chr(52) + chr(51), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(0b100100 + 0o20) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\066' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b110101) + chr(0b110111), 53961 - 53953), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101011 + 0o10) + chr(0b101111 + 0o5) + '\x32', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(55) + chr(0b11101 + 0o30), 49021 - 49013), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + '\x33' + '\064' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + chr(0b110010) + chr(0b101000 + 0o12) + chr(0b1001 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + '\x31' + chr(578 - 525) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(1299 - 1245), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100100 + 0o13) + chr(0b11110 + 0o30) + chr(0b110001), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1110 + 0o43) + chr(0b11010 + 0o32) + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1011111 + 0o20) + chr(50) + chr(0b0 + 0o66) + '\x32', 39763 - 39755), ehT0Px3KOsy9(chr(729 - 681) + chr(0b100 + 0o153) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(1511 - 1462) + chr(0b110001) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010011 + 0o34) + '\063' + chr(0b110000 + 0o4) + '\x33', 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(1804 - 1753) + chr(0b11 + 0o61), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\x33' + '\062', 12629 - 12621)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x35' + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'"'), chr(2002 - 1902) + chr(101) + chr(0b1100011) + chr(277 - 166) + chr(0b1100100) + '\145')(chr(0b1110101) + '\164' + chr(2338 - 2236) + chr(243 - 198) + chr(0b1001 + 0o57)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZtAEiNJny4e0(oVre8I6UXc3b, ix9dZyeAmUxY, LABP7LtJ90uK=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2205 - 2157), 0o10)):
if not xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'e;\tg\x8d^\x84\xf5\xfb\x01\xa3\x8d'), chr(100) + chr(0b1100101) + '\143' + '\157' + chr(100) + chr(0b111 + 0o136))(chr(0b1001011 + 0o52) + chr(116) + '\146' + chr(827 - 782) + chr(0b11 + 0o65))):
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'S\r\x12B\xaaX\x99\xba\xbc\x1f\x95\xbaN'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(0b100 + 0o153) + chr(0b1100100) + '\145')('\165' + chr(792 - 676) + '\146' + '\055' + chr(0b111000)))()
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'f.Kh\xa9O\xc6\xfc\xa9.\xcd\xfd'), chr(0b11111 + 0o105) + '\x65' + chr(4729 - 4630) + chr(0b1010001 + 0o36) + '\x64' + chr(4353 - 4252))(chr(4313 - 4196) + chr(0b1110100) + chr(0b0 + 0o146) + '\x2d' + '\070')):
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'S\r\x12B\xaaX\x82\xad\xbd\n\x97\xbb'), '\x64' + '\145' + '\x63' + '\x6f' + chr(100) + chr(0b111100 + 0o51))('\x75' + chr(116) + chr(0b1100110) + '\055' + chr(0b10001 + 0o47)))()
assert not (xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'u&/\x1e\xe8a\x9e\xfc\xaa\n\x9b\xbe'), chr(6856 - 6756) + chr(0b1111 + 0o126) + chr(99) + '\157' + '\144' + '\145')(chr(117) + '\164' + '\146' + chr(0b101101) + chr(56))) and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'B5*\x1a\x9fH\xbf\x87\xa7\\\x88\xa2'), chr(8176 - 8076) + chr(101) + '\x63' + chr(111) + chr(100) + chr(0b1100101))('\x75' + chr(9000 - 8884) + chr(0b100101 + 0o101) + chr(0b100111 + 0o6) + chr(0b101010 + 0o16)))), xafqLlk3kkUe(SXOLrMavuUCe(b'y\x14\x18J\xaab\xda\xe5\xef\x1c\x92\xadEK\x97ByrG\x83N\x86\x12BO\x83\x0f\x81\xb2\x19xzP\x11\xd7gi\x8c\xf2zg\x12\x0f_\xb1u\x97\xec\xa6\x18\xda\xa6D\x1f\xc7P~cZ\x89H\x97\x05UA\xc2)\x96\xebL{{E\x11\xdbm.\xc3\xfc/|\x00\x1d_\xbbX\x9d\xa2\x90\x00\x8c\xbb_\x04\x95Fk3^\x89\x1a\xa5\x01]\x1c\x87]\x93\xfa\tf>R\x17\xd7b=\x8a\xf2=,\x10\x0eJ\xb7i\x97\xbe\xe1'), chr(0b10010 + 0o122) + chr(0b111 + 0o136) + chr(0b1100011) + chr(0b1101111) + '\x64' + '\x65')('\165' + '\x74' + chr(0b11010 + 0o114) + chr(45) + '\x38')
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'S\x07\x14N\xbdl\xad\xad\xa1\x0f\xa5\xbaN\x18\x84Bgvu\x81H\x82\x04'), chr(7594 - 7494) + '\x65' + chr(99) + '\157' + chr(100) + chr(101))(chr(2242 - 2125) + chr(116) + chr(0b101100 + 0o72) + chr(570 - 525) + '\x38'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'S\x17\x1fJ\xb2b'), chr(0b1100100) + chr(3958 - 3857) + '\x63' + chr(0b1001110 + 0o41) + chr(0b1010111 + 0o15) + chr(0b1100101))('\x75' + chr(0b1110100) + '\x66' + '\x2d' + chr(0b11110 + 0o32))) / ix9dZyeAmUxY)
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'S\x11\x0cO\xbfs\x97'), '\144' + chr(9348 - 9247) + chr(0b1100011) + chr(0b1010 + 0o145) + '\144' + chr(0b110011 + 0o62))(chr(117) + '\164' + '\146' + chr(0b101101) + '\070'))(LABP7LtJ90uK)
|
apache/incubator-mxnet
|
python/mxnet/gluon/trainer.py
|
Trainer.save_states
|
def save_states(self, fname):
"""Saves trainer states (e.g. optimizer, momentum) to a file.
Parameters
----------
fname : str
Path to output states file.
Note
----
`optimizer.param_dict`, which contains Parameter information (such as
`lr_mult` and `wd_mult`) will not be saved.
"""
assert self._optimizer is not None
if not self._kv_initialized:
self._init_kvstore()
if self._params_to_init:
self._init_params()
if self._update_on_kvstore:
assert not self._params_to_init, "Cannot save trainer states when some " \
"parameters are not yet initialized in kvstore."
self._kvstore.save_optimizer_states(fname, dump_optimizer=True)
else:
with open(fname, 'wb') as fout:
fout.write(self._updaters[0].get_states(dump_optimizer=True))
|
python
|
def save_states(self, fname):
"""Saves trainer states (e.g. optimizer, momentum) to a file.
Parameters
----------
fname : str
Path to output states file.
Note
----
`optimizer.param_dict`, which contains Parameter information (such as
`lr_mult` and `wd_mult`) will not be saved.
"""
assert self._optimizer is not None
if not self._kv_initialized:
self._init_kvstore()
if self._params_to_init:
self._init_params()
if self._update_on_kvstore:
assert not self._params_to_init, "Cannot save trainer states when some " \
"parameters are not yet initialized in kvstore."
self._kvstore.save_optimizer_states(fname, dump_optimizer=True)
else:
with open(fname, 'wb') as fout:
fout.write(self._updaters[0].get_states(dump_optimizer=True))
|
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"None",
"if",
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"\"parameters are not yet initialized in kvstore.\"",
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",",
"dump_optimizer",
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"[",
"0",
"]",
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"get_states",
"(",
"dump_optimizer",
"=",
"True",
")",
")"
] |
Saves trainer states (e.g. optimizer, momentum) to a file.
Parameters
----------
fname : str
Path to output states file.
Note
----
`optimizer.param_dict`, which contains Parameter information (such as
`lr_mult` and `wd_mult`) will not be saved.
|
[
"Saves",
"trainer",
"states",
"(",
"e",
".",
"g",
".",
"optimizer",
"momentum",
")",
"to",
"a",
"file",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/trainer.py#L429-L456
|
train
|
Saves trainer states to a 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(0b100011 + 0o15) + '\x6f' + '\x31' + chr(0b110101 + 0o1) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(7127 - 7016) + '\x31' + '\x31' + chr(1767 - 1716), 0o10), ehT0Px3KOsy9(chr(2102 - 2054) + chr(111) + '\x33' + chr(0b110001) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + '\x32' + '\x37' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(783 - 735) + chr(111) + '\x34' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(365 - 317) + chr(9642 - 9531) + '\x34', 36730 - 36722), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\x30' + chr(49), 0b1000), ehT0Px3KOsy9(chr(1805 - 1757) + chr(0b1101111) + chr(1395 - 1343) + chr(0b110000), 26094 - 26086), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b110100) + chr(2319 - 2270), ord("\x08")), ehT0Px3KOsy9('\060' + chr(6368 - 6257) + '\063' + '\062' + chr(366 - 314), 5376 - 5368), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100111 + 0o10) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1364 - 1316) + chr(111) + chr(0b10101 + 0o34) + chr(0b11011 + 0o27) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(2032 - 1921) + chr(0b100001 + 0o22) + chr(127 - 78) + '\x37', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(50) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100110 + 0o111) + '\x32' + chr(0b110101) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\064' + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(614 - 503) + chr(49) + '\x32' + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(54) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(0b110000 + 0o5) + chr(0b10001 + 0o41), 0o10), ehT0Px3KOsy9('\x30' + chr(372 - 261) + chr(0b110110) + chr(694 - 639), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11111 + 0o30) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100101 + 0o12) + chr(53) + '\060', 533 - 525), ehT0Px3KOsy9(chr(0b110000) + chr(1568 - 1457) + chr(54) + chr(55), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(52) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(49) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(857 - 809) + chr(0b1101111) + chr(49) + chr(0b1010 + 0o51) + chr(0b101100 + 0o4), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(52 - 3) + chr(1761 - 1713), 4431 - 4423), ehT0Px3KOsy9('\060' + '\157' + chr(0b110100) + '\x32', 55767 - 55759), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\x31' + '\x36', 1100 - 1092), ehT0Px3KOsy9('\x30' + '\157' + chr(1400 - 1351) + '\x32' + '\x31', 8), ehT0Px3KOsy9(chr(1475 - 1427) + '\157' + chr(51) + chr(51) + chr(0b110100 + 0o0), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(1473 - 1422) + chr(53) + '\065', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(51) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\066' + chr(1642 - 1593), ord("\x08")), ehT0Px3KOsy9(chr(1501 - 1453) + chr(7252 - 7141) + '\x35' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1656 - 1605) + '\x32' + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1407 - 1356) + chr(0b1000 + 0o50) + chr(1988 - 1935), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(2429 - 2379) + chr(0b110001) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b100011 + 0o22), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1010101 + 0o32) + chr(0b101100 + 0o6) + '\066' + chr(0b110111), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x35' + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\\'), chr(100) + chr(101) + chr(99) + chr(0b101001 + 0o106) + '\144' + chr(2882 - 2781))('\165' + chr(3250 - 3134) + '\146' + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def kSV5RWVPLhi3(oVre8I6UXc3b, t3WbF0Ae42Pu):
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07-\x8e\xe0VH\xb0J\xcd\x9ba\x14'), '\144' + chr(101) + chr(99) + '\157' + chr(0b1001111 + 0o25) + '\145')(chr(0b1010 + 0o153) + chr(11617 - 11501) + chr(102) + chr(0b1101 + 0o40) + chr(56))) is not None
if not xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b\x14\xba\xf5v]\xf7\x19\x95\xbe^\x15'), '\x64' + chr(0b1110 + 0o127) + '\143' + '\157' + chr(0b1100100) + '\x65')(chr(9526 - 9409) + '\x74' + chr(102) + chr(0b101000 + 0o5) + '\070')):
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'-"\xa1\xd0Q[\xeaV\xd2\xa0h"\xaa'), chr(0b100111 + 0o75) + '\x65' + chr(5613 - 5514) + chr(111) + chr(100) + chr(7818 - 7717))('\x75' + chr(7648 - 7532) + '\146' + chr(0b101101) + chr(0b110100 + 0o4)))()
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x18\x01\xf8\xfaRL\xb5\x10\xc7\x910e'), chr(0b101 + 0o137) + chr(101) + chr(1378 - 1279) + '\157' + chr(0b110001 + 0o63) + chr(3536 - 3435))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(45) + '\x38')):
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'-"\xa1\xd0Q[\xf1A\xd3\xb5j#'), '\x64' + chr(0b1100101) + chr(99) + '\x6f' + chr(100) + chr(0b1100011 + 0o2))('\165' + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(0b111000)))()
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'<\x1a\x99\x88dK\xcck\xc9\xe3u:'), chr(0b110101 + 0o57) + chr(8691 - 8590) + '\x63' + '\157' + '\144' + chr(7852 - 7751))(chr(5729 - 5612) + chr(12244 - 12128) + chr(0b1010101 + 0o21) + '\x2d' + '\x38')):
assert not xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x18\x01\xf8\xfaRL\xb5\x10\xc7\x910e'), chr(2588 - 2488) + '\145' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b1110101) + '\164' + chr(102) + '\055' + chr(0b100001 + 0o27))), xafqLlk3kkUe(SXOLrMavuUCe(b'1*\xa1\xd7Jp\xa1S\xc0\xa2bp\xbb\xa4\xcc\x8a?\x92\x18\x17I\\V\x10\xac+(U&4\xb2\xcd\xee\x9eC\xb0\xe5\xfal\xc5\x13&\xaa\xcd@v\xf2\x00\xc0\xa6bp\xa1\xb9\xd9\xc3(\x92\x1e\x17SF^\x10\xa09dK44\xb8\xcd\xf4\x9f\x0e\xbe\xb3\xf9y\xd8\x00.\xe1'), chr(8479 - 8379) + '\145' + chr(99) + '\x6f' + chr(0b1100100) + chr(0b1 + 0o144))(chr(0b1110101) + '\x74' + chr(102) + chr(0b101101) + '\070')
xafqLlk3kkUe(oVre8I6UXc3b._kvstore, xafqLlk3kkUe(SXOLrMavuUCe(b'\x01*\xb9\xdczk\xf1T\xc8\xb9n*\xaa\xa4\xf2\x90%\x96\x1eRI'), chr(0b1100100) + chr(0b1100101 + 0o0) + chr(99) + chr(0b1010110 + 0o31) + chr(3417 - 3317) + '\x65')('\165' + chr(116) + chr(0b1100110) + chr(0b101101) + '\070'))(t3WbF0Ae42Pu, dump_optimizer=ehT0Px3KOsy9(chr(2197 - 2149) + chr(111) + chr(0b110001), 36272 - 36264))
else:
with _fwkIVCGgtAN(t3WbF0Ae42Pu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05)'), '\x64' + chr(101) + '\x63' + chr(982 - 871) + chr(100) + chr(101))('\165' + '\164' + chr(5318 - 5216) + '\055' + chr(2799 - 2743))) as jd8s7Uh8ek48:
xafqLlk3kkUe(jd8s7Uh8ek48, xafqLlk3kkUe(SXOLrMavuUCe(b'\x059\xa6\xcd@'), chr(0b1011111 + 0o5) + chr(0b1100101) + '\x63' + '\157' + chr(0b1100100) + chr(0b1100101))('\165' + '\x74' + chr(9821 - 9719) + chr(0b101101) + chr(0b100 + 0o64)))(xafqLlk3kkUe(oVre8I6UXc3b._updaters[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\060', 43715 - 43707)], xafqLlk3kkUe(SXOLrMavuUCe(b'\x15.\xbb\xe6Vp\xe0T\xc4\xa7'), chr(8249 - 8149) + chr(9194 - 9093) + chr(0b1100011) + chr(0b1000111 + 0o50) + chr(0b111001 + 0o53) + chr(0b1100101))(chr(13456 - 13339) + '\x74' + '\146' + '\x2d' + chr(0b10111 + 0o41)))(dump_optimizer=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001), 8)))
|
apache/incubator-mxnet
|
python/mxnet/gluon/trainer.py
|
Trainer.load_states
|
def load_states(self, fname):
"""Loads trainer states (e.g. optimizer, momentum) from a file.
Parameters
----------
fname : str
Path to input states file.
Note
----
`optimizer.param_dict`, which contains Parameter information (such as
`lr_mult` and `wd_mult`) will not be loaded from the file, but rather set
based on current Trainer's parameters.
"""
if not self._kv_initialized:
self._init_kvstore()
if self._params_to_init:
self._init_params()
if self._update_on_kvstore:
self._kvstore.load_optimizer_states(fname)
self._optimizer = self._kvstore._updater.optimizer
else:
with open(fname, 'rb') as f:
states = f.read()
for updater in self._updaters:
updater.set_states(states)
updater.optimizer = self._updaters[0].optimizer
self._optimizer = self._updaters[0].optimizer
param_dict = {i: param for i, param in enumerate(self._params)}
self._optimizer.param_dict = param_dict
|
python
|
def load_states(self, fname):
"""Loads trainer states (e.g. optimizer, momentum) from a file.
Parameters
----------
fname : str
Path to input states file.
Note
----
`optimizer.param_dict`, which contains Parameter information (such as
`lr_mult` and `wd_mult`) will not be loaded from the file, but rather set
based on current Trainer's parameters.
"""
if not self._kv_initialized:
self._init_kvstore()
if self._params_to_init:
self._init_params()
if self._update_on_kvstore:
self._kvstore.load_optimizer_states(fname)
self._optimizer = self._kvstore._updater.optimizer
else:
with open(fname, 'rb') as f:
states = f.read()
for updater in self._updaters:
updater.set_states(states)
updater.optimizer = self._updaters[0].optimizer
self._optimizer = self._updaters[0].optimizer
param_dict = {i: param for i, param in enumerate(self._params)}
self._optimizer.param_dict = param_dict
|
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] |
Loads trainer states (e.g. optimizer, momentum) from a file.
Parameters
----------
fname : str
Path to input states file.
Note
----
`optimizer.param_dict`, which contains Parameter information (such as
`lr_mult` and `wd_mult`) will not be loaded from the file, but rather set
based on current Trainer's parameters.
|
[
"Loads",
"trainer",
"states",
"(",
"e",
".",
"g",
".",
"optimizer",
"momentum",
")",
"from",
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/trainer.py#L458-L488
|
train
|
Loads trainer states from a 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(2143 - 2095) + chr(4257 - 4146) + chr(0b110010) + chr(209 - 158) + chr(206 - 152), 17297 - 17289), ehT0Px3KOsy9('\x30' + chr(11515 - 11404) + chr(0b11101 + 0o24) + chr(0b1001 + 0o53) + chr(53), 36236 - 36228), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(49) + '\x32', 33683 - 33675), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(54) + '\x35', 0o10), ehT0Px3KOsy9(chr(1700 - 1652) + '\x6f' + '\061' + chr(0b110000) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + '\065' + chr(1548 - 1497), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101101 + 0o2) + '\063' + chr(0b110011) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(1925 - 1814) + chr(0b110010) + '\061', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(1533 - 1484) + chr(0b110101) + '\060', 60888 - 60880), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(51) + '\061', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110000 + 0o3) + chr(52) + chr(54), 0o10), ehT0Px3KOsy9(chr(692 - 644) + '\157' + chr(53) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1100010 + 0o15) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\x34' + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(1642 - 1592) + chr(0b110100) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11 + 0o154) + '\x31' + chr(0b110000 + 0o2) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10001 + 0o41) + chr(0b11100 + 0o30) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9719 - 9608) + '\063' + chr(52) + chr(0b100000 + 0o27), 20396 - 20388), ehT0Px3KOsy9('\060' + chr(11729 - 11618) + '\x33' + chr(0b110000) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3880 - 3769) + '\065' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000011 + 0o54) + '\063' + '\061' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + '\066', 0b1000), ehT0Px3KOsy9(chr(1207 - 1159) + chr(0b1101111) + chr(0b1010 + 0o51) + chr(49) + chr(822 - 773), 12422 - 12414), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1010001 + 0o36) + chr(0b110001) + '\063' + chr(0b110011), 14697 - 14689), ehT0Px3KOsy9(chr(682 - 634) + chr(111) + '\063' + chr(0b1100 + 0o50) + chr(2334 - 2282), 35294 - 35286), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1011 + 0o47) + '\x32' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + '\x31' + chr(2642 - 2590) + '\x32', 0o10), ehT0Px3KOsy9(chr(2276 - 2228) + '\157' + chr(0b110011) + chr(0b100010 + 0o23) + chr(1805 - 1756), 25170 - 25162), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(0b111 + 0o53) + chr(928 - 877) + chr(751 - 700), 54289 - 54281), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(428 - 379) + chr(0b110000) + chr(1028 - 979), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x36' + chr(876 - 828), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b110000) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(925 - 874) + '\062' + chr(705 - 653), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(357 - 306) + '\062' + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(0b110111) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + '\063' + chr(0b11010 + 0o32) + '\x30', 0o10), ehT0Px3KOsy9(chr(346 - 298) + chr(10596 - 10485) + chr(0b110010) + chr(0b110001) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1110 + 0o141) + chr(1407 - 1355) + chr(2215 - 2161), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(0b110101) + '\x30', 17496 - 17488)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0'), chr(0b101011 + 0o71) + '\145' + chr(99) + chr(0b1011000 + 0o27) + chr(100) + chr(0b100000 + 0o105))(chr(117) + chr(4991 - 4875) + chr(102) + chr(0b101101) + chr(0b100001 + 0o27)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def FNSPUYZuf84h(oVre8I6UXc3b, t3WbF0Ae42Pu):
if not xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7:?\xf9\x17\xf2\xab(\\3\xbfk'), '\144' + chr(101) + '\143' + '\157' + '\144' + '\x65')('\165' + '\x74' + chr(1467 - 1365) + chr(45) + chr(0b111000))):
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\x0c$\xdc0\xf4\xb6g\x1b-\x89\\a'), chr(0b11111 + 0o105) + chr(101) + '\143' + chr(10898 - 10787) + chr(100) + '\x65')('\x75' + chr(0b1110100) + '\x66' + chr(0b100100 + 0o11) + chr(56)))()
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4/}\xf63\xe3\xe9!\x0e\x1c\xd1\x1b'), chr(5955 - 5855) + chr(101) + chr(941 - 842) + '\157' + chr(0b1100100) + '\145')(chr(117) + chr(1792 - 1676) + chr(6748 - 6646) + chr(0b11111 + 0o16) + chr(56))):
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\x0c$\xdc0\xf4\xadp\x1a8\x8b]'), chr(122 - 22) + '\145' + '\143' + chr(0b1101111) + chr(8720 - 8620) + chr(101))(chr(117) + chr(9418 - 9302) + '\146' + '\055' + chr(2758 - 2702)))()
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd04\x1c\x84\x05\xe4\x90Z\x00n\x94D'), '\x64' + chr(101) + chr(0b1100010 + 0o1) + chr(1758 - 1647) + '\x64' + chr(0b1100101))(chr(11020 - 10903) + chr(116) + '\146' + '\x2d' + chr(0b111000))):
xafqLlk3kkUe(oVre8I6UXc3b._kvstore, xafqLlk3kkUe(SXOLrMavuUCe(b"\xf2\n+\xd1\x1b\xc4\xade\x014\x8fTa\xd4\xfa'\xd7\x86\xb1lX"), chr(0b1100100) + '\x65' + chr(4253 - 4154) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b10110 + 0o137) + chr(0b111011 + 0o71) + chr(102) + chr(0b101101 + 0o0) + '\070'))(t3WbF0Ae42Pu)
oVre8I6UXc3b.ufAYsL1jlOfD = oVre8I6UXc3b._kvstore._updater.XdKNcYRObPK3
else:
with _fwkIVCGgtAN(t3WbF0Ae42Pu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xec\x07'), chr(0b1100000 + 0o4) + chr(0b1010001 + 0o24) + chr(0b1100011) + chr(111) + chr(0b10110 + 0o116) + chr(4803 - 4702))('\165' + chr(3683 - 3567) + chr(225 - 123) + chr(45) + '\x38')) as EGyt1xfPT1P6:
jI0E6zso5mLP = EGyt1xfPT1P6.U6MiWrhuCi2Y()
for xZ9ED1z8lews in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\x10:\xd1%\xdf\xb8c\x1b'), chr(8238 - 8138) + chr(9343 - 9242) + '\143' + '\x6f' + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(1532 - 1416) + chr(0b1100110) + chr(0b100011 + 0o12) + chr(0b100111 + 0o21))):
xafqLlk3kkUe(xZ9ED1z8lews, xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\x00>\xea7\xdf\xbce\r*'), chr(0b10 + 0o142) + chr(101) + '\143' + chr(111) + chr(100) + chr(101))(chr(844 - 727) + chr(0b1101100 + 0o10) + chr(0b100110 + 0o100) + chr(0b101 + 0o50) + '\070'))(jI0E6zso5mLP)
xZ9ED1z8lews.XdKNcYRObPK3 = oVre8I6UXc3b._updaters[ehT0Px3KOsy9('\x30' + chr(0b1000001 + 0o56) + chr(0b110 + 0o52), 33929 - 33921)].XdKNcYRObPK3
oVre8I6UXc3b.ufAYsL1jlOfD = oVre8I6UXc3b._updaters[ehT0Px3KOsy9('\060' + chr(0b1101111 + 0o0) + '\060', 8)].XdKNcYRObPK3
s1lQUFSQSjFT = {WVxHKyX45z_L: NOaGA2BHucaX for (WVxHKyX45z_L, NOaGA2BHucaX) in YlkZvXL8qwsX(oVre8I6UXc3b.pHroJelArxJz)}
oVre8I6UXc3b._optimizer.s1lQUFSQSjFT = s1lQUFSQSjFT
|
apache/incubator-mxnet
|
benchmark/python/sparse/util.py
|
estimate_density
|
def estimate_density(DATA_PATH, feature_size):
"""sample 10 times of a size of 1000 for estimating the density of the sparse dataset"""
if not os.path.exists(DATA_PATH):
raise Exception("Data is not there!")
density = []
P = 0.01
for _ in range(10):
num_non_zero = 0
num_sample = 0
with open(DATA_PATH) as f:
for line in f:
if (random.random() < P):
num_non_zero += len(line.split(" ")) - 1
num_sample += 1
density.append(num_non_zero * 1.0 / (feature_size * num_sample))
return sum(density) / len(density)
|
python
|
def estimate_density(DATA_PATH, feature_size):
"""sample 10 times of a size of 1000 for estimating the density of the sparse dataset"""
if not os.path.exists(DATA_PATH):
raise Exception("Data is not there!")
density = []
P = 0.01
for _ in range(10):
num_non_zero = 0
num_sample = 0
with open(DATA_PATH) as f:
for line in f:
if (random.random() < P):
num_non_zero += len(line.split(" ")) - 1
num_sample += 1
density.append(num_non_zero * 1.0 / (feature_size * num_sample))
return sum(density) / len(density)
|
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] |
sample 10 times of a size of 1000 for estimating the density of the sparse dataset
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/benchmark/python/sparse/util.py#L21-L36
|
train
|
estimate the density of the sparse 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(48) + chr(0b1101111) + '\065' + chr(0b110000 + 0o1), 37748 - 37740), ehT0Px3KOsy9(chr(139 - 91) + '\x6f' + chr(51) + chr(1559 - 1504) + chr(1516 - 1468), 7661 - 7653), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + chr(0b101001 + 0o12) + '\x31' + chr(1928 - 1876), 46210 - 46202), ehT0Px3KOsy9(chr(210 - 162) + chr(1993 - 1882) + '\061' + chr(48) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(2172 - 2124) + chr(111) + chr(49) + chr(0b110111) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(8583 - 8472) + chr(49) + chr(237 - 183) + chr(2114 - 2060), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010000 + 0o37) + '\063' + chr(1843 - 1790), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + '\x33' + chr(109 - 61) + chr(1499 - 1444), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b100010 + 0o21) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(0b111110 + 0o61) + chr(0b110010) + '\x35' + chr(55), 30324 - 30316), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(2143 - 2090) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(11303 - 11192) + chr(0b11111 + 0o23) + chr(0b110111) + '\x30', 0b1000), ehT0Px3KOsy9(chr(85 - 37) + chr(5870 - 5759) + chr(0b101010 + 0o7) + chr(53) + '\060', 21532 - 21524), ehT0Px3KOsy9(chr(1007 - 959) + chr(0b1010101 + 0o32) + chr(1599 - 1548) + chr(0b110101), 8), ehT0Px3KOsy9(chr(2109 - 2061) + '\x6f' + chr(50) + chr(0b11100 + 0o27) + chr(1249 - 1201), 8), ehT0Px3KOsy9('\060' + chr(5204 - 5093) + chr(50) + '\x32' + chr(0b10010 + 0o36), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11110 + 0o121) + '\064' + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b110100) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(708 - 656) + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + '\061' + chr(1271 - 1221), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001110 + 0o41) + '\063' + '\061' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100110 + 0o11) + '\x32' + chr(0b100010 + 0o16) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11011 + 0o124) + chr(49) + chr(0b110010) + chr(1692 - 1637), 0o10), ehT0Px3KOsy9('\060' + chr(0b111100 + 0o63) + chr(0b110 + 0o55) + chr(0b110111) + chr(0b11010 + 0o30), 41494 - 41486), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(913 - 802) + chr(0b110110) + chr(53), 0b1000), ehT0Px3KOsy9(chr(2282 - 2234) + chr(0b100110 + 0o111) + '\x33' + chr(0b110101) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + '\x31' + chr(1971 - 1919) + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(0b10010 + 0o135) + '\x31' + '\x34' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2359 - 2309) + chr(1048 - 993) + chr(0b110110 + 0o1), 0o10), ehT0Px3KOsy9(chr(255 - 207) + '\157' + chr(550 - 500) + chr(0b110110) + chr(0b110011 + 0o1), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\x34' + chr(600 - 547), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(1892 - 1844) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(54) + chr(0b110101), 49126 - 49118), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + '\063' + chr(0b101101 + 0o6) + chr(0b110111), 27302 - 27294), ehT0Px3KOsy9('\060' + '\x6f' + chr(1518 - 1469) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(116 - 67) + chr(53), 59777 - 59769), ehT0Px3KOsy9('\x30' + chr(0b1101010 + 0o5) + '\062' + '\060' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(0b1001 + 0o56) + '\065', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\x35' + chr(52), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b100100 + 0o113) + chr(53) + chr(0b110000), 64782 - 64774)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x07'), '\x64' + '\x65' + chr(489 - 390) + '\157' + '\144' + chr(0b1011010 + 0o13))('\x75' + chr(116) + chr(0b110101 + 0o61) + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def nhLVwm3SuYbS(t4xVvAUqBjfj, WVENTmh0Umi_):
if not xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'L\x80\xa53\t\x05'), '\144' + chr(0b101 + 0o140) + '\x63' + '\157' + '\x64' + chr(101))(chr(117) + '\164' + chr(0b100110 + 0o100) + '\x2d' + chr(56)))(t4xVvAUqBjfj):
raise jLmadlzMdunT(xafqLlk3kkUe(SXOLrMavuUCe(b'm\x99\xb8!]\x1fn\xe7\xf6\xc0\x1d\x98\x1cu\xfd\xe2@\x83'), '\x64' + chr(101) + chr(0b1110 + 0o125) + '\157' + '\x64' + '\145')(chr(11681 - 11564) + chr(3287 - 3171) + chr(102) + chr(45) + chr(56)))
opienJznAkre = []
zkRc3dAjXC2v = 0.01
for VNGQdHSFPrso in vQr8gNKaIaWE(ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b110010), 8)):
Nu9A7ar28v8I = ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(4095 - 3984) + chr(0b1011 + 0o45), 0b1000)
jMcvyMDlQ9AX = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x30', 8)
with _fwkIVCGgtAN(t4xVvAUqBjfj) as EGyt1xfPT1P6:
for LycYkDpyelF6 in EGyt1xfPT1P6:
if xafqLlk3kkUe(drxw09AdRdci, xafqLlk3kkUe(SXOLrMavuUCe(b'M\x8a\xb47MO\\\xa3\xca\xcb\n\xd1'), chr(0b1000010 + 0o42) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(3043 - 2943) + chr(101))(chr(0b1110101) + chr(4453 - 4337) + chr(0b101101 + 0o71) + chr(0b101101) + chr(0b10100 + 0o44)))() < zkRc3dAjXC2v:
Nu9A7ar28v8I += c2A0yzQpDQB3(LycYkDpyelF6.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\t'), chr(0b1100100) + chr(0b10011 + 0o122) + chr(99) + chr(0b1100001 + 0o16) + chr(100) + chr(3007 - 2906))(chr(0b1110101) + '\x74' + chr(0b1100001 + 0o5) + chr(0b101101) + chr(0b111000)))) - ehT0Px3KOsy9(chr(1206 - 1158) + '\157' + '\061', 8373 - 8365)
jMcvyMDlQ9AX += ehT0Px3KOsy9('\060' + chr(0b1001001 + 0o46) + chr(950 - 901), 8)
xafqLlk3kkUe(opienJznAkre, xafqLlk3kkUe(SXOLrMavuUCe(b'H\x88\xbc%\x13\x12'), '\x64' + chr(9289 - 9188) + chr(99) + chr(3519 - 3408) + chr(0b1100100) + chr(1518 - 1417))('\x75' + chr(0b1100101 + 0o17) + chr(8780 - 8678) + chr(1840 - 1795) + chr(0b111000 + 0o0)))(Nu9A7ar28v8I * 1.0 / (WVENTmh0Umi_ * jMcvyMDlQ9AX))
return xkxBmo49x2An(opienJznAkre) / c2A0yzQpDQB3(opienJznAkre)
|
apache/incubator-mxnet
|
example/reinforcement-learning/a3c/launcher.py
|
exec_cmd
|
def exec_cmd(cmd, role, taskid, pass_env):
"""Execute the command line command."""
if cmd[0].find('/') == -1 and os.path.exists(cmd[0]) and os.name != 'nt':
cmd[0] = './' + cmd[0]
cmd = ' '.join(cmd)
env = os.environ.copy()
for k, v in pass_env.items():
env[k] = str(v)
env['DMLC_TASK_ID'] = str(taskid)
env['DMLC_ROLE'] = role
env['DMLC_JOB_CLUSTER'] = 'local'
ntrial = 0
while True:
if os.name == 'nt':
env['DMLC_NUM_ATTEMPT'] = str(ntrial)
ret = subprocess.call(cmd, shell=True, env=env)
if ret != 0:
ntrial += 1
continue
else:
bash = cmd
ret = subprocess.call(bash, shell=True, executable='bash', env=env)
if ret == 0:
logging.debug('Thread %d exit with 0', taskid)
return
else:
if os.name == 'nt':
sys.exit(-1)
else:
raise RuntimeError('Get nonzero return code=%d' % ret)
|
python
|
def exec_cmd(cmd, role, taskid, pass_env):
"""Execute the command line command."""
if cmd[0].find('/') == -1 and os.path.exists(cmd[0]) and os.name != 'nt':
cmd[0] = './' + cmd[0]
cmd = ' '.join(cmd)
env = os.environ.copy()
for k, v in pass_env.items():
env[k] = str(v)
env['DMLC_TASK_ID'] = str(taskid)
env['DMLC_ROLE'] = role
env['DMLC_JOB_CLUSTER'] = 'local'
ntrial = 0
while True:
if os.name == 'nt':
env['DMLC_NUM_ATTEMPT'] = str(ntrial)
ret = subprocess.call(cmd, shell=True, env=env)
if ret != 0:
ntrial += 1
continue
else:
bash = cmd
ret = subprocess.call(bash, shell=True, executable='bash', env=env)
if ret == 0:
logging.debug('Thread %d exit with 0', taskid)
return
else:
if os.name == 'nt':
sys.exit(-1)
else:
raise RuntimeError('Get nonzero return code=%d' % ret)
|
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] |
Execute the command line command.
|
[
"Execute",
"the",
"command",
"line",
"command",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/reinforcement-learning/a3c/launcher.py#L46-L77
|
train
|
Execute the command line command.
|
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(0b11110 + 0o23) + chr(492 - 442) + chr(51), 14740 - 14732), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(53) + chr(1911 - 1859), 0o10), ehT0Px3KOsy9(chr(1973 - 1925) + '\157' + chr(50) + '\063' + chr(50), 41362 - 41354), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(0b110010) + chr(1901 - 1846), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001011 + 0o44) + '\x32' + '\066' + chr(0b11011 + 0o33), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011 + 0o144) + chr(0b110001) + chr(1227 - 1176) + chr(50), 37792 - 37784), ehT0Px3KOsy9(chr(1108 - 1060) + chr(0b1101111) + chr(0b110010) + chr(1559 - 1507) + chr(0b11011 + 0o30), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6959 - 6848) + chr(0b110010) + '\x34' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111011 + 0o64) + chr(0b110111) + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1 + 0o62) + '\x31' + chr(0b101000 + 0o13), 57985 - 57977), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(0b1 + 0o62) + chr(0b110011) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(54) + chr(0b110001), 51219 - 51211), ehT0Px3KOsy9(chr(341 - 293) + '\157' + chr(0b100001 + 0o21) + '\066' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(1856 - 1806) + '\x33', 8), ehT0Px3KOsy9(chr(1397 - 1349) + chr(0b1101111) + '\x33' + '\060' + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(10702 - 10591) + chr(0b110011) + '\x31' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(1420 - 1367) + '\065', 27363 - 27355), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1100100 + 0o13) + '\061' + chr(328 - 277), 35407 - 35399), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(2104 - 2052) + '\061', 1770 - 1762), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + '\063' + '\064' + '\064', 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1000110 + 0o51) + chr(0b110010) + chr(1892 - 1844) + '\x30', 2499 - 2491), ehT0Px3KOsy9(chr(2096 - 2048) + '\x6f' + '\x33' + chr(48) + chr(0b10011 + 0o41), 50733 - 50725), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(1183 - 1129) + chr(390 - 338), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10001 + 0o42) + '\062' + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(0b10110 + 0o131) + chr(0b1000 + 0o51) + chr(1096 - 1046) + chr(0b110110), 6570 - 6562), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b11100 + 0o27) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(1122 - 1074) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110111) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b100101 + 0o112) + '\062' + '\064' + '\x31', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110111) + '\063', 0b1000), ehT0Px3KOsy9(chr(1577 - 1529) + '\x6f' + chr(1432 - 1383) + chr(0b110001) + chr(0b110001 + 0o4), 40036 - 40028), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5622 - 5511) + chr(2238 - 2187) + chr(0b110000) + '\062', 3536 - 3528), ehT0Px3KOsy9(chr(0b110000) + chr(0b11100 + 0o123) + chr(51) + chr(0b110010 + 0o5) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(2325 - 2214) + '\062' + '\064' + chr(114 - 61), 52016 - 52008), ehT0Px3KOsy9(chr(48) + chr(0b110000 + 0o77) + chr(2426 - 2373) + chr(0b110100), 60192 - 60184), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + '\x36' + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\x34' + chr(0b1 + 0o57), 41316 - 41308), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110111) + '\065', 8), ehT0Px3KOsy9(chr(1380 - 1332) + chr(1510 - 1399) + '\061' + '\061' + '\x30', 24516 - 24508)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x35' + chr(449 - 401), 10321 - 10313)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'}'), chr(0b1100100) + '\145' + '\143' + chr(111) + chr(100) + chr(101))(chr(0b1010011 + 0o42) + chr(11537 - 11421) + '\146' + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def wWkwBIzzzPhy(cTsjNbtiBYNK, Bqfqb6knzosF, tpiZFnMpWJGq, _TqKT717hrC7):
if xafqLlk3kkUe(cTsjNbtiBYNK[ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(48), 29560 - 29552)], xafqLlk3kkUe(SXOLrMavuUCe(b'5\x05\xf4\xf3'), chr(100) + '\145' + '\x63' + chr(0b1000001 + 0o56) + '\x64' + chr(101))(chr(453 - 336) + '\x74' + chr(102) + chr(0b11100 + 0o21) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'|'), chr(2812 - 2712) + '\x65' + chr(7603 - 7504) + chr(10489 - 10378) + chr(786 - 686) + '\x65')('\x75' + '\164' + '\x66' + chr(0b101101) + chr(0b101001 + 0o17))) == -ehT0Px3KOsy9(chr(48) + chr(0b110 + 0o151) + chr(1350 - 1301), 0b1000) and xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'6\x14\xf3\xe4\xc2)'), '\x64' + chr(101) + '\143' + chr(6215 - 6104) + chr(0b1100100) + chr(0b1000110 + 0o37))(chr(4988 - 4871) + chr(0b1110001 + 0o3) + chr(4028 - 3926) + '\x2d' + chr(56)))(cTsjNbtiBYNK[ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(9776 - 9665) + chr(48), 8)]) and (xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12%\xec\xdd\xe4 \xef\xc0z\xad\xbb\xf7'), chr(0b1100100) + chr(0b1100101) + chr(99) + '\157' + chr(100) + chr(101))(chr(0b1110101) + '\x74' + chr(0b10 + 0o144) + chr(76 - 31) + chr(56))) != xafqLlk3kkUe(SXOLrMavuUCe(b'=\x18'), chr(0b11111 + 0o105) + chr(101) + '\x63' + chr(111) + chr(0b111010 + 0o52) + '\145')(chr(0b1001010 + 0o53) + '\164' + chr(9006 - 8904) + chr(45) + '\070')):
cTsjNbtiBYNK[ehT0Px3KOsy9(chr(2274 - 2226) + chr(3012 - 2901) + chr(0b11100 + 0o24), 8)] = xafqLlk3kkUe(SXOLrMavuUCe(b'}C'), chr(3081 - 2981) + chr(0b1000011 + 0o42) + chr(99) + chr(0b1001010 + 0o45) + chr(2721 - 2621) + chr(0b1100101))(chr(4899 - 4782) + '\x74' + chr(0b110110 + 0o60) + chr(0b10011 + 0o32) + '\070') + cTsjNbtiBYNK[ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(48), 8)]
cTsjNbtiBYNK = xafqLlk3kkUe(SXOLrMavuUCe(b's'), chr(100) + chr(101) + '\x63' + chr(111) + '\x64' + chr(0b1000110 + 0o37))(chr(7846 - 7729) + '\164' + chr(0b1100110) + chr(0b10100 + 0o31) + '\x38')._oWXztVNnqHF(cTsjNbtiBYNK)
xzsHIGfR8Ip5 = oqhJDdMJfuwx.environ.igThHS4jwVsa()
for (OolUPRJhRaJd, cMbll0QYhULo) in xafqLlk3kkUe(_TqKT717hrC7, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1d\x16\xec\xf2\xff\x00\x90\xedR\x98\x94\x88'), chr(0b1 + 0o143) + '\145' + chr(0b1100011) + chr(111) + '\x64' + chr(0b1000111 + 0o36))(chr(0b1110101) + chr(116) + '\146' + chr(45) + chr(0b11101 + 0o33)))():
xzsHIGfR8Ip5[OolUPRJhRaJd] = M8_cKLkHVB2V(cMbll0QYhULo)
xzsHIGfR8Ip5[xafqLlk3kkUe(SXOLrMavuUCe(b'\x17!\xd6\xd4\xe9\x0e\xe2\xf7u\x94\x95\xf5'), '\144' + chr(9015 - 8914) + chr(9351 - 9252) + chr(3346 - 3235) + chr(100) + '\145')('\165' + '\x74' + chr(0b1010010 + 0o24) + chr(45) + chr(56))] = M8_cKLkHVB2V(tpiZFnMpWJGq)
xzsHIGfR8Ip5[xafqLlk3kkUe(SXOLrMavuUCe(b'\x17!\xd6\xd4\xe9\x08\xec\xe8{'), '\144' + '\145' + chr(0b100111 + 0o74) + '\x6f' + chr(0b1100100) + '\x65')('\165' + chr(116) + '\146' + chr(0b101101) + chr(3082 - 3026))] = Bqfqb6knzosF
xzsHIGfR8Ip5[xafqLlk3kkUe(SXOLrMavuUCe(b'\x17!\xd6\xd4\xe9\x10\xec\xe6a\x88\x90\xe4\xe6\x07\x84\x9b'), chr(9275 - 9175) + '\x65' + '\x63' + chr(3531 - 3420) + chr(5489 - 5389) + chr(0b1100101))(chr(0b1110101) + chr(0b11110 + 0o126) + chr(0b11000 + 0o116) + '\055' + '\070')] = xafqLlk3kkUe(SXOLrMavuUCe(b'?\x03\xf9\xf6\xda'), chr(0b101000 + 0o74) + '\145' + chr(99) + '\157' + chr(359 - 259) + chr(101))(chr(117) + chr(7995 - 7879) + chr(119 - 17) + chr(0b100110 + 0o7) + chr(0b101010 + 0o16))
qgjyscjksHjY = ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + '\060', 8)
while ehT0Px3KOsy9(chr(48) + '\157' + '\x31', 8):
if xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12%\xec\xdd\xe4 \xef\xc0z\xad\xbb\xf7'), chr(0b1100100) + chr(0b1000111 + 0o36) + '\x63' + chr(111) + '\x64' + chr(0b1011000 + 0o15))(chr(13499 - 13382) + chr(7605 - 7489) + chr(4904 - 4802) + '\x2d' + '\x38')) == xafqLlk3kkUe(SXOLrMavuUCe(b'=\x18'), '\x64' + chr(7129 - 7028) + '\x63' + chr(7584 - 7473) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b10111 + 0o135) + '\146' + chr(45) + '\x38'):
xzsHIGfR8Ip5[xafqLlk3kkUe(SXOLrMavuUCe(b'\x17!\xd6\xd4\xe9\x14\xf6\xe9a\x8a\x88\xe5\xf0\x1e\x91\x9d'), chr(0b100100 + 0o100) + chr(101) + chr(0b1010010 + 0o21) + '\157' + chr(100) + '\145')(chr(117) + '\164' + chr(102) + '\x2d' + chr(2828 - 2772))] = M8_cKLkHVB2V(qgjyscjksHjY)
VHn4CV4Ymrei = SorA9b5x63bd.call(cTsjNbtiBYNK, shell=ehT0Px3KOsy9('\060' + '\157' + '\061', 8), env=xzsHIGfR8Ip5)
if VHn4CV4Ymrei != ehT0Px3KOsy9(chr(48) + '\x6f' + '\060', 8):
qgjyscjksHjY += ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001), 8)
continue
else:
_UM7skpoyVHT = cTsjNbtiBYNK
VHn4CV4Ymrei = SorA9b5x63bd.call(_UM7skpoyVHT, shell=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(522 - 473), 8), executable=xafqLlk3kkUe(SXOLrMavuUCe(b'1\r\xe9\xff'), chr(0b1100100) + chr(0b1011101 + 0o10) + '\x63' + chr(0b1101111) + chr(0b111 + 0o135) + '\x65')(chr(8342 - 8225) + chr(9109 - 8993) + '\146' + chr(391 - 346) + chr(0b111000)), env=xzsHIGfR8Ip5)
if VHn4CV4Ymrei == ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + '\x30', 8):
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'7\t\xf8\xe2\xd1'), chr(0b1100100) + '\x65' + chr(0b10101 + 0o116) + '\x6f' + chr(100) + '\145')(chr(117) + '\164' + chr(337 - 235) + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b"\x07\x04\xe8\xf2\xd7>\x83\x81Z\xeb\xb9\xc9\xdc'\xe1\xbe\x84\x7f\xc9\xc4\xb0"), chr(0b1100100) + '\x65' + '\143' + chr(111) + '\144' + chr(101))(chr(0b11101 + 0o130) + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b100011 + 0o25)), tpiZFnMpWJGq)
return
elif xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12%\xec\xdd\xe4 \xef\xc0z\xad\xbb\xf7'), chr(0b1000001 + 0o43) + chr(101) + chr(7586 - 7487) + '\157' + chr(3252 - 3152) + '\145')(chr(0b11010 + 0o133) + chr(0b111011 + 0o71) + '\146' + '\x2d' + '\070')) == xafqLlk3kkUe(SXOLrMavuUCe(b'=\x18'), chr(0b1100010 + 0o2) + chr(0b1100011 + 0o2) + chr(0b1000101 + 0o36) + '\157' + '\x64' + chr(101))('\x75' + chr(5676 - 5560) + chr(0b1100110 + 0o0) + chr(0b101101) + chr(0b111000)):
xafqLlk3kkUe(a2SYDDomXDZ2, xafqLlk3kkUe(SXOLrMavuUCe(b'6\x14\xf3\xe3'), chr(9255 - 9155) + '\145' + '\x63' + '\x6f' + chr(0b10100 + 0o120) + chr(0b1100101))(chr(0b1010 + 0o153) + chr(0b1110100) + '\146' + chr(0b101100 + 0o1) + chr(0b11111 + 0o31)))(-ehT0Px3KOsy9('\x30' + chr(5150 - 5039) + chr(49), 8))
else:
raise n0ZkatoveZpF(xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\t\xee\xb7\xd85\xcd\xde[\xb9\xb3\x91\xc76\xb5\xbc\x9fe\x81\x87\xef\xa0\x11\xe8s\xfb'), '\144' + chr(0b1011010 + 0o13) + '\143' + '\x6f' + '\144' + chr(101))(chr(10505 - 10388) + chr(2396 - 2280) + '\x66' + chr(45) + chr(0b111000)) % VHn4CV4Ymrei)
|
apache/incubator-mxnet
|
example/reinforcement-learning/a3c/launcher.py
|
submit
|
def submit(args):
gpus = args.gpus.strip().split(',')
"""Submit function of local jobs."""
def mthread_submit(nworker, nserver, envs):
"""
customized submit script, that submit nslave jobs, each must contain args as parameter
note this can be a lambda function containing additional parameters in input
Parameters
----------
nworker: number of slave process to start up
nserver: number of server nodes to start up
envs: enviroment variables to be added to the starting programs
"""
procs = {}
for i, gpu in enumerate(gpus):
for j in range(args.num_threads):
procs[i] = Thread(target=exec_cmd, args=(args.command + ['--gpus=%s'%gpu], 'worker', i*args.num_threads+j, envs))
procs[i].setDaemon(True)
procs[i].start()
for i in range(len(gpus)*args.num_threads, len(gpus)*args.num_threads + nserver):
procs[i] = Thread(target=exec_cmd, args=(args.command, 'server', i, envs))
procs[i].setDaemon(True)
procs[i].start()
# call submit, with nslave, the commands to run each job and submit function
tracker.submit(args.num_threads*len(gpus), args.num_servers, fun_submit=mthread_submit,
pscmd=(' '.join(args.command)))
|
python
|
def submit(args):
gpus = args.gpus.strip().split(',')
"""Submit function of local jobs."""
def mthread_submit(nworker, nserver, envs):
"""
customized submit script, that submit nslave jobs, each must contain args as parameter
note this can be a lambda function containing additional parameters in input
Parameters
----------
nworker: number of slave process to start up
nserver: number of server nodes to start up
envs: enviroment variables to be added to the starting programs
"""
procs = {}
for i, gpu in enumerate(gpus):
for j in range(args.num_threads):
procs[i] = Thread(target=exec_cmd, args=(args.command + ['--gpus=%s'%gpu], 'worker', i*args.num_threads+j, envs))
procs[i].setDaemon(True)
procs[i].start()
for i in range(len(gpus)*args.num_threads, len(gpus)*args.num_threads + nserver):
procs[i] = Thread(target=exec_cmd, args=(args.command, 'server', i, envs))
procs[i].setDaemon(True)
procs[i].start()
# call submit, with nslave, the commands to run each job and submit function
tracker.submit(args.num_threads*len(gpus), args.num_servers, fun_submit=mthread_submit,
pscmd=(' '.join(args.command)))
|
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] |
Submit function of local jobs.
|
[
"Submit",
"function",
"of",
"local",
"jobs",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/reinforcement-learning/a3c/launcher.py#L79-L106
|
train
|
Submit function of local jobs.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + chr(0b110001) + chr(346 - 296) + chr(1877 - 1822), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100010 + 0o115) + chr(886 - 837) + chr(912 - 864) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b11111 + 0o120) + chr(0b1100 + 0o47) + chr(77 - 26) + chr(1337 - 1287), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(890 - 839) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(0b10101 + 0o42), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2522 - 2411) + chr(0b101011 + 0o6) + '\066' + chr(49), 6894 - 6886), ehT0Px3KOsy9(chr(1585 - 1537) + chr(8122 - 8011) + chr(50) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1110 + 0o44) + chr(280 - 232) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + '\062' + '\061' + chr(0b110001), 30410 - 30402), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101 + 0o142) + chr(0b110010) + chr(2197 - 2144) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10 + 0o155) + '\x32' + '\x34' + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b110000) + chr(0b11000 + 0o36), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(55) + '\066', 0b1000), ehT0Px3KOsy9(chr(2266 - 2218) + chr(0b1101111) + chr(49) + chr(0b110101) + chr(52), 63673 - 63665), ehT0Px3KOsy9(chr(0b110000) + chr(0b11010 + 0o125) + chr(0b110010) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(12300 - 12189) + chr(0b110001) + '\062' + '\063', 0o10), ehT0Px3KOsy9(chr(744 - 696) + chr(111) + chr(0b110001) + chr(51) + chr(2308 - 2253), 18883 - 18875), ehT0Px3KOsy9(chr(1322 - 1274) + '\157' + chr(1885 - 1836) + '\x32' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b1111 + 0o41) + chr(558 - 507), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\061', 8), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + '\062' + chr(0b10110 + 0o41) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + '\061' + '\063' + chr(54), 30243 - 30235), ehT0Px3KOsy9('\x30' + chr(0b1000000 + 0o57) + chr(0b1100 + 0o46) + chr(55) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(10841 - 10730) + chr(0b110010) + chr(2212 - 2161) + chr(48), 0o10), ehT0Px3KOsy9(chr(180 - 132) + chr(0b1100001 + 0o16) + chr(0b11110 + 0o24) + chr(0b100100 + 0o22) + chr(52), 21433 - 21425), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011001 + 0o26) + '\063' + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(52) + chr(908 - 860), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b101001 + 0o12) + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(0b11100 + 0o123) + chr(0b100001 + 0o20) + chr(0b1010 + 0o52) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100000 + 0o17) + chr(0b110010) + chr(0b101 + 0o61), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(1202 - 1091) + chr(50) + chr(0b101001 + 0o15) + chr(930 - 879), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1699 - 1649) + '\x34' + '\x30', 8), ehT0Px3KOsy9('\060' + chr(6807 - 6696) + '\x32' + '\060', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b11111 + 0o120) + '\063' + chr(2147 - 2096) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010101 + 0o32) + chr(0b100101 + 0o20) + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(2371 - 2322) + chr(0b10001 + 0o43), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b101111 + 0o3) + chr(353 - 299), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(0b101111 + 0o2) + chr(0b110101) + chr(0b11 + 0o57), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\065' + chr(0b11001 + 0o27), 23328 - 23320)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'y'), chr(4328 - 4228) + chr(0b1100101) + chr(0b111010 + 0o51) + '\157' + chr(0b10101 + 0o117) + '\145')(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(0b110010 + 0o6)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def _KeUmid9QA3B(kJDRfRhcZHjS):
IX6MXHpyb1Hf = kJDRfRhcZHjS.gpus.strip().split(xafqLlk3kkUe(SXOLrMavuUCe(b'{'), chr(100) + '\145' + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(117) + '\164' + '\146' + chr(45) + chr(0b101101 + 0o13)))
def wca9tic5GiTe(jEaGA4hEjiGL, OWQ37BmQ4VlL, GBjzMU1AyAT9):
aUSMd5SAFCd7 = {}
for (WVxHKyX45z_L, q042LNsZ6EiE) in YlkZvXL8qwsX(IX6MXHpyb1Hf):
for tlORBuYsiw3X in vQr8gNKaIaWE(xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'91\xb7\x84s\x19b\xe0\xe8\xc8\xd7'), '\x64' + chr(0b1001010 + 0o33) + '\x63' + chr(3460 - 3349) + chr(4405 - 4305) + chr(2005 - 1904))('\165' + chr(116) + chr(4166 - 4064) + chr(0b10101 + 0o30) + chr(347 - 291)))):
aUSMd5SAFCd7[WVxHKyX45z_L] = cWd7MrLpnu4C(target=wWkwBIzzzPhy, args=(kJDRfRhcZHjS.command + [xafqLlk3kkUe(SXOLrMavuUCe(b'zi\xbd\xabr\x02-\xa0\xfa'), chr(0b1111 + 0o125) + chr(101) + '\143' + chr(0b1101001 + 0o6) + chr(4628 - 4528) + '\x65')(chr(10415 - 10298) + '\164' + chr(102) + '\055' + '\070') % q042LNsZ6EiE], xafqLlk3kkUe(SXOLrMavuUCe(b' +\xa8\xb0b\x03'), chr(0b100000 + 0o104) + chr(0b1010110 + 0o17) + chr(99) + chr(0b1101111) + '\x64' + '\x65')(chr(117) + chr(116) + chr(102) + '\x2d' + chr(56)), WVxHKyX45z_L * kJDRfRhcZHjS.num_threads + tlORBuYsiw3X, GBjzMU1AyAT9))
xafqLlk3kkUe(aUSMd5SAFCd7[WVxHKyX45z_L], xafqLlk3kkUe(SXOLrMavuUCe(b'$!\xae\x9ff\x14}\xea\xe7'), '\144' + chr(101) + '\143' + chr(3563 - 3452) + chr(0b1001111 + 0o25) + chr(8390 - 8289))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b111000)))(ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1010 + 0o47), ord("\x08")))
xafqLlk3kkUe(aUSMd5SAFCd7[WVxHKyX45z_L], xafqLlk3kkUe(SXOLrMavuUCe(b'$0\xbb\xa9s'), '\x64' + chr(0b1100001 + 0o4) + chr(0b0 + 0o143) + '\157' + chr(401 - 301) + chr(0b1100101))('\165' + '\164' + chr(4288 - 4186) + chr(45) + '\x38'))()
for WVxHKyX45z_L in vQr8gNKaIaWE(c2A0yzQpDQB3(IX6MXHpyb1Hf) * xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'91\xb7\x84s\x19b\xe0\xe8\xc8\xd7'), chr(3010 - 2910) + chr(0b1100101) + chr(0b100011 + 0o100) + '\157' + chr(100) + '\x65')(chr(6222 - 6105) + chr(3261 - 3145) + chr(0b1100110) + chr(0b101101) + '\x38')), c2A0yzQpDQB3(IX6MXHpyb1Hf) * xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'91\xb7\x84s\x19b\xe0\xe8\xc8\xd7'), chr(3230 - 3130) + chr(4274 - 4173) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(0b1000000 + 0o45))(chr(0b1110101) + chr(116) + chr(2368 - 2266) + '\x2d' + chr(2787 - 2731))) + OWQ37BmQ4VlL):
aUSMd5SAFCd7[WVxHKyX45z_L] = cWd7MrLpnu4C(target=wWkwBIzzzPhy, args=(kJDRfRhcZHjS.command, xafqLlk3kkUe(SXOLrMavuUCe(b'$!\xa8\xadb\x03'), chr(100) + chr(5748 - 5647) + chr(0b10100 + 0o117) + chr(9409 - 9298) + chr(8041 - 7941) + chr(0b1100101))('\x75' + chr(116) + chr(7554 - 7452) + chr(0b11 + 0o52) + chr(0b10010 + 0o46)), WVxHKyX45z_L, GBjzMU1AyAT9))
xafqLlk3kkUe(aUSMd5SAFCd7[WVxHKyX45z_L], xafqLlk3kkUe(SXOLrMavuUCe(b'$!\xae\x9ff\x14}\xea\xe7'), chr(0b1000001 + 0o43) + chr(737 - 636) + chr(0b10010 + 0o121) + chr(0b101011 + 0o104) + chr(100) + '\145')('\165' + chr(116) + chr(0b1100110) + chr(45) + chr(0b101110 + 0o12)))(ehT0Px3KOsy9('\x30' + chr(6600 - 6489) + chr(0b1110 + 0o43), 8))
xafqLlk3kkUe(aUSMd5SAFCd7[WVxHKyX45z_L], xafqLlk3kkUe(SXOLrMavuUCe(b'$0\xbb\xa9s'), chr(0b1100100) + '\x65' + chr(9424 - 9325) + '\157' + chr(100) + chr(0b1100101))(chr(0b10011 + 0o142) + '\164' + chr(0b1010011 + 0o23) + chr(0b110 + 0o47) + chr(342 - 286)))()
xafqLlk3kkUe(ZPV1mfwu_VuC, xafqLlk3kkUe(SXOLrMavuUCe(b'$1\xb8\xb6n\x05'), chr(0b101011 + 0o71) + chr(0b11001 + 0o114) + chr(8974 - 8875) + chr(0b1101101 + 0o2) + '\x64' + '\x65')(chr(0b110001 + 0o104) + chr(116) + chr(102) + chr(0b101101) + chr(0b11001 + 0o37)))(xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'91\xb7\x84s\x19b\xe0\xe8\xc8\xd7'), '\144' + '\145' + chr(2888 - 2789) + '\157' + '\x64' + chr(0b1001001 + 0o34))('\165' + chr(116) + chr(102) + '\x2d' + '\070')) * c2A0yzQpDQB3(IX6MXHpyb1Hf), xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'91\xb7\x84t\x14b\xf3\xec\xde\xd7'), '\144' + chr(0b1011100 + 0o11) + chr(0b1100011) + chr(111) + '\144' + chr(0b1100101))('\165' + chr(0b101000 + 0o114) + chr(0b1100110) + chr(45) + chr(0b1 + 0o67))), fun_submit=wca9tic5GiTe, pscmd=xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'w'), chr(100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1010100 + 0o20) + '\x65')('\165' + '\x74' + '\146' + chr(45) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x08+\x8d\x83}\x05F\xcb\xe7\xdd\xec\xc0'), chr(0b1100100) + chr(0b11100 + 0o111) + chr(0b101111 + 0o64) + '\x6f' + chr(0b1100100) + chr(0b1001101 + 0o30))('\165' + chr(116) + '\x66' + '\055' + chr(56)))(xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'4+\xb7\xb6f\x1ft'), chr(100) + chr(101) + chr(0b1100011) + '\x6f' + '\144' + '\145')('\165' + chr(7280 - 7164) + '\146' + chr(0b101 + 0o50) + chr(2068 - 2012)))))
|
apache/incubator-mxnet
|
example/ctc/ctc_metrics.py
|
CtcMetrics.ctc_label
|
def ctc_label(p):
"""Iterates through p, identifying non-zero and non-repeating values, and returns them in a list Parameters
----------
p: list of int
Returns
-------
list of int
"""
ret = []
p1 = [0] + p
for i, _ in enumerate(p):
c1 = p1[i]
c2 = p1[i+1]
if c2 in (0, c1):
continue
ret.append(c2)
return ret
|
python
|
def ctc_label(p):
"""Iterates through p, identifying non-zero and non-repeating values, and returns them in a list Parameters
----------
p: list of int
Returns
-------
list of int
"""
ret = []
p1 = [0] + p
for i, _ in enumerate(p):
c1 = p1[i]
c2 = p1[i+1]
if c2 in (0, c1):
continue
ret.append(c2)
return ret
|
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Iterates through p, identifying non-zero and non-repeating values, and returns them in a list Parameters
----------
p: list of int
Returns
-------
list of int
|
[
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ctc/ctc_metrics.py#L34-L51
|
train
|
Iterates through p identifying non - zero and non - repeating values and returns them in a list
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + '\x31' + '\063' + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(2402 - 2350) + chr(2076 - 2021), ord("\x08")), ehT0Px3KOsy9(chr(462 - 414) + '\x6f' + chr(0b10010 + 0o41) + '\x37' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(0b110001) + '\063' + '\066', 14924 - 14916), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(726 - 674) + chr(1805 - 1757), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(0b110110) + chr(1897 - 1846), ord("\x08")), ehT0Px3KOsy9(chr(1329 - 1281) + '\157' + chr(1313 - 1262) + '\x35' + chr(0b0 + 0o67), 45418 - 45410), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + '\060' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(0b110010) + chr(1619 - 1567), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2167 - 2117) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + '\x31' + chr(0b1100 + 0o52) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(49) + chr(0b11101 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110101 + 0o72) + chr(0b101101 + 0o10) + chr(2135 - 2081), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110101) + chr(1463 - 1412), ord("\x08")), ehT0Px3KOsy9('\060' + chr(4273 - 4162) + chr(925 - 873) + chr(2703 - 2650), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + '\x33' + '\x31' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3398 - 3287) + '\061' + chr(0b110111) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11100 + 0o26) + chr(0b110001 + 0o1) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110100) + '\x35', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(1939 - 1888) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(54) + chr(2194 - 2146), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + '\x34' + chr(53), 8), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1100001 + 0o16) + '\061' + '\063' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(1190 - 1142) + '\x6f' + chr(1349 - 1299) + '\x35' + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100110 + 0o16) + chr(0b10010 + 0o45), 0b1000), ehT0Px3KOsy9(chr(691 - 643) + chr(10187 - 10076) + '\062' + chr(1269 - 1214) + chr(0b110110), 44050 - 44042), ehT0Px3KOsy9(chr(48) + chr(2972 - 2861) + chr(338 - 288) + chr(0b10110 + 0o32) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(0b101000 + 0o14) + chr(0b110001), 43131 - 43123), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\064' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101110 + 0o4) + '\062' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1715 - 1667) + '\x6f' + '\x33' + chr(0b10 + 0o56) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + chr(0b10110 + 0o33) + chr(0b110010) + chr(275 - 221), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b110001) + chr(136 - 84), 25648 - 25640), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1110 + 0o141) + chr(0b110010) + chr(0b110001) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001011 + 0o44) + chr(0b110010) + chr(0b11100 + 0o24) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(482 - 431) + chr(0b1010 + 0o55) + chr(2160 - 2108), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b110101) + chr(1080 - 1028), 1690 - 1682), ehT0Px3KOsy9('\x30' + chr(5112 - 5001) + chr(1126 - 1076) + chr(0b110001) + chr(0b110101), 8), ehT0Px3KOsy9(chr(711 - 663) + chr(2940 - 2829) + chr(2127 - 2078) + '\x37' + '\x31', 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b110011) + chr(2918 - 2863), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x35' + chr(0b110000), 34199 - 34191)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'u'), chr(0b101110 + 0o66) + chr(101) + '\143' + chr(0b1101111) + '\x64' + '\x65')(chr(0b101 + 0o160) + chr(860 - 744) + chr(3009 - 2907) + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def pjJDE39l8wHv(UyakMW2IMFEj):
VHn4CV4Ymrei = []
N031LNXcboVa = [ehT0Px3KOsy9(chr(1953 - 1905) + '\x6f' + '\x30', 0o10)] + UyakMW2IMFEj
for (WVxHKyX45z_L, VNGQdHSFPrso) in YlkZvXL8qwsX(UyakMW2IMFEj):
TpThDjlWvpLw = N031LNXcboVa[WVxHKyX45z_L]
p_VTgDPfRD4V = N031LNXcboVa[WVxHKyX45z_L + ehT0Px3KOsy9(chr(339 - 291) + chr(10543 - 10432) + chr(0b101000 + 0o11), 0b1000)]
if p_VTgDPfRD4V in (ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110000), 8), TpThDjlWvpLw):
continue
xafqLlk3kkUe(VHn4CV4Ymrei, xafqLlk3kkUe(SXOLrMavuUCe(b':\x97\x8c;\xceW'), chr(100) + '\x65' + chr(99) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(117) + '\x74' + chr(0b1100110) + chr(0b1001 + 0o44) + '\x38'))(p_VTgDPfRD4V)
return VHn4CV4Ymrei
|
apache/incubator-mxnet
|
example/ctc/ctc_metrics.py
|
CtcMetrics._remove_blank
|
def _remove_blank(l):
""" Removes trailing zeros in the list of integers and returns a new list of integers"""
ret = []
for i, _ in enumerate(l):
if l[i] == 0:
break
ret.append(l[i])
return ret
|
python
|
def _remove_blank(l):
""" Removes trailing zeros in the list of integers and returns a new list of integers"""
ret = []
for i, _ in enumerate(l):
if l[i] == 0:
break
ret.append(l[i])
return ret
|
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Removes trailing zeros in the list of integers and returns a new list of integers
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ctc/ctc_metrics.py#L54-L61
|
train
|
Removes trailing zeros in the list of integers and returns a new list of integers
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\x32' + chr(1601 - 1550), ord("\x08")), ehT0Px3KOsy9('\060' + chr(7875 - 7764) + chr(1964 - 1913) + '\063' + '\062', 47892 - 47884), ehT0Px3KOsy9(chr(304 - 256) + '\x6f' + chr(54) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(53) + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101000 + 0o7) + chr(0b110001 + 0o0) + '\x31' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100 + 0o153) + chr(0b10000 + 0o42) + '\x34' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101011 + 0o6) + chr(51) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100111 + 0o12) + chr(0b101100 + 0o11) + chr(737 - 689), 0o10), ehT0Px3KOsy9(chr(353 - 305) + chr(111) + chr(0b110 + 0o54) + chr(0b110101) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101001 + 0o15), 0o10), ehT0Px3KOsy9(chr(1051 - 1003) + chr(7432 - 7321) + chr(1825 - 1775) + chr(0b10000 + 0o45) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\x37' + chr(50), 11179 - 11171), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(49) + chr(0b101010 + 0o10) + chr(0b1100 + 0o44), 1993 - 1985), ehT0Px3KOsy9(chr(1548 - 1500) + '\x6f' + chr(75 - 22) + chr(310 - 262), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(1779 - 1728) + '\063' + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100010 + 0o15) + chr(1913 - 1860) + chr(54), 0b1000), ehT0Px3KOsy9(chr(2206 - 2158) + chr(111) + chr(49) + chr(54) + chr(0b110 + 0o54), 0o10), ehT0Px3KOsy9('\060' + chr(0b1000 + 0o147) + chr(0b110001) + '\x34' + chr(0b110011), 26981 - 26973), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + '\x32' + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1828 - 1779) + '\x33' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + '\066' + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(0b1001110 + 0o41) + chr(0b110011) + chr(1868 - 1820) + chr(427 - 374), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x35' + chr(655 - 600), 14337 - 14329), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100011 + 0o17) + chr(774 - 723) + '\x32', 44672 - 44664), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(6971 - 6860) + chr(0b110011) + chr(54) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(12024 - 11913) + chr(1743 - 1692) + chr(0b110011) + chr(1054 - 1003), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10110 + 0o35) + chr(49) + chr(55), 0o10), ehT0Px3KOsy9(chr(1324 - 1276) + chr(6700 - 6589) + chr(0b1111 + 0o43) + chr(1271 - 1216), 0o10), ehT0Px3KOsy9(chr(1178 - 1130) + chr(111) + '\x33' + chr(0b110111) + '\065', 4906 - 4898), ehT0Px3KOsy9(chr(1519 - 1471) + chr(0b1101111) + '\x32' + chr(1952 - 1900) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(1439 - 1391) + chr(111) + chr(1625 - 1574) + '\062' + chr(587 - 539), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(52) + chr(589 - 537), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(9962 - 9851) + chr(699 - 649) + chr(0b110000) + chr(2839 - 2785), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(0b110010 + 0o0) + '\063' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(2393 - 2343) + chr(0b11111 + 0o21), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2317 - 2268) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b110101) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1 + 0o156) + '\x33' + chr(55) + '\x34', 42738 - 42730), ehT0Px3KOsy9('\060' + '\157' + chr(0b110111), 24613 - 24605), ehT0Px3KOsy9(chr(359 - 311) + '\157' + '\x31' + chr(0b110 + 0o53) + chr(124 - 76), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x35' + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd'), '\144' + chr(0b111011 + 0o52) + chr(4255 - 4156) + chr(5956 - 5845) + chr(100) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def FMcbdXdmzosG(aLoH_Mt0dzwO):
VHn4CV4Ymrei = []
for (WVxHKyX45z_L, VNGQdHSFPrso) in YlkZvXL8qwsX(aLoH_Mt0dzwO):
if aLoH_Mt0dzwO[WVxHKyX45z_L] == ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110000), 42643 - 42635):
break
xafqLlk3kkUe(VHn4CV4Ymrei, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\xaaG\x8f$\xc5'), '\x64' + '\x65' + '\143' + chr(10511 - 10400) + chr(0b1010101 + 0o17) + '\145')(chr(117) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b10 + 0o66)))(aLoH_Mt0dzwO[WVxHKyX45z_L])
return VHn4CV4Ymrei
|
apache/incubator-mxnet
|
example/ctc/ctc_metrics.py
|
CtcMetrics._lcs
|
def _lcs(p, l):
""" Calculates the Longest Common Subsequence between p and l (both list of int) and returns its length"""
# Dynamic Programming Finding LCS
if len(p) == 0:
return 0
P = np.array(list(p)).reshape((1, len(p)))
L = np.array(list(l)).reshape((len(l), 1))
M = np.ndarray(shape=(len(P), len(L)), dtype=np.int32)
for i in range(M.shape[0]):
for j in range(M.shape[1]):
up = 0 if i == 0 else M[i-1, j]
left = 0 if j == 0 else M[i, j-1]
if i == 0 or j == 0:
M[i, j] = max(up, left, M[i, j])
else:
M[i, j] = M[i, j] + M[i - 1, j - 1]
return M.max()
|
python
|
def _lcs(p, l):
""" Calculates the Longest Common Subsequence between p and l (both list of int) and returns its length"""
# Dynamic Programming Finding LCS
if len(p) == 0:
return 0
P = np.array(list(p)).reshape((1, len(p)))
L = np.array(list(l)).reshape((len(l), 1))
M = np.ndarray(shape=(len(P), len(L)), dtype=np.int32)
for i in range(M.shape[0]):
for j in range(M.shape[1]):
up = 0 if i == 0 else M[i-1, j]
left = 0 if j == 0 else M[i, j-1]
if i == 0 or j == 0:
M[i, j] = max(up, left, M[i, j])
else:
M[i, j] = M[i, j] + M[i - 1, j - 1]
return M.max()
|
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Calculates the Longest Common Subsequence between p and l (both list of int) and returns its length
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ctc/ctc_metrics.py#L64-L81
|
train
|
Calculates the Longest Common Subsequence between p and l and returns its 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(0b101011 + 0o5) + '\x6f' + '\x32' + '\x35' + chr(0b11001 + 0o27), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + '\066' + chr(53), 27507 - 27499), ehT0Px3KOsy9('\060' + chr(10428 - 10317) + chr(0b110011) + chr(0b110110 + 0o0) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\x34' + chr(0b11010 + 0o30), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\060' + '\062', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\066' + chr(1563 - 1512), 0o10), ehT0Px3KOsy9(chr(1981 - 1933) + '\x6f' + chr(0b100000 + 0o22) + chr(0b110101) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011 + 0o1) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1925 - 1877) + chr(0b1101111) + '\x31' + '\x36' + chr(812 - 764), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + chr(55) + '\062', 0b1000), ehT0Px3KOsy9(chr(2032 - 1984) + chr(111) + chr(50) + '\063' + '\067', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b110010) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1100001 + 0o16) + '\x31' + chr(54) + chr(330 - 282), 8), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(792 - 742) + chr(0b10100 + 0o42) + chr(0b11111 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(343 - 295) + '\157' + chr(507 - 457) + chr(268 - 218) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\x36' + chr(474 - 422), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(0b100000 + 0o20) + chr(1285 - 1234), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\067' + chr(0b110011), 11561 - 11553), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b101 + 0o60) + '\x35', 2283 - 2275), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + chr(0b101011 + 0o10) + chr(0b10001 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(192 - 144) + chr(5624 - 5513) + chr(51) + '\066' + '\x33', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(246 - 197) + chr(0b110001), 61250 - 61242), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(55) + chr(49), 25767 - 25759), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(0b10111 + 0o33), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110010 + 0o75) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(12078 - 11967) + chr(2362 - 2310) + chr(0b110001 + 0o2), 8), ehT0Px3KOsy9(chr(986 - 938) + chr(10186 - 10075) + chr(1589 - 1538) + chr(1061 - 1007) + chr(51), 8), ehT0Px3KOsy9(chr(0b110000) + chr(8032 - 7921) + chr(2346 - 2295) + chr(2215 - 2166) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1101 + 0o45) + '\062' + chr(0b111 + 0o53), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(0b10010 + 0o37) + chr(1681 - 1629), 55029 - 55021), ehT0Px3KOsy9(chr(48) + chr(10910 - 10799) + chr(0b110010) + '\062' + chr(0b1001 + 0o53), 18439 - 18431), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + chr(1011 - 960) + chr(0b110000) + chr(0b111 + 0o53), 36659 - 36651), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(0b1001 + 0o52) + chr(0b1101 + 0o45) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b110010) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(55) + chr(0b100010 + 0o20), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(403 - 353) + chr(0b10 + 0o56), 61184 - 61176), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(702 - 651) + chr(1375 - 1323) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(787 - 739) + chr(111) + chr(1094 - 1045) + '\067' + chr(0b1000 + 0o56), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(48) + '\x35', 51776 - 51768), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(48) + chr(1846 - 1795), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(471 - 423) + '\157' + chr(53) + chr(1893 - 1845), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x86'), chr(1090 - 990) + chr(2379 - 2278) + '\143' + '\x6f' + chr(0b1100100) + '\145')('\x75' + chr(116) + '\146' + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def MfYlhfPy_q09(UyakMW2IMFEj, aLoH_Mt0dzwO):
if c2A0yzQpDQB3(UyakMW2IMFEj) == ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1100100 + 0o13) + chr(48), 0b1000):
return ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\060', 8)
zkRc3dAjXC2v = WqUC3KWvYVup.array(YyaZ4tpXu4lf(UyakMW2IMFEj)).reshape((ehT0Px3KOsy9('\060' + '\157' + chr(0b110001), 6608 - 6600), c2A0yzQpDQB3(UyakMW2IMFEj)))
N2hHLFodXT_J = WqUC3KWvYVup.array(YyaZ4tpXu4lf(aLoH_Mt0dzwO)).reshape((c2A0yzQpDQB3(aLoH_Mt0dzwO), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31', 8)))
ed0oVQ7n0Y_q = WqUC3KWvYVup.ndarray(shape=(c2A0yzQpDQB3(zkRc3dAjXC2v), c2A0yzQpDQB3(N2hHLFodXT_J)), dtype=WqUC3KWvYVup.int32)
for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(ed0oVQ7n0Y_q, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\x94\x84\xfb\xe4\xbf\xc8O$J\xfc\xf4'), chr(0b1001000 + 0o34) + chr(0b1100101) + chr(5754 - 5655) + chr(111) + chr(0b10 + 0o142) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(102) + chr(0b101101) + '\070'))[ehT0Px3KOsy9('\060' + '\157' + chr(48), 8)]):
for tlORBuYsiw3X in vQr8gNKaIaWE(xafqLlk3kkUe(ed0oVQ7n0Y_q, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\x94\x84\xfb\xe4\xbf\xc8O$J\xfc\xf4'), chr(0b1100100) + chr(5278 - 5177) + chr(7665 - 7566) + chr(3785 - 3674) + '\144' + chr(0b110000 + 0o65))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(62 - 17) + chr(834 - 778)))[ehT0Px3KOsy9(chr(2215 - 2167) + chr(6628 - 6517) + chr(49), 8)]):
ncRLFRtCGSRg = ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1000010 + 0o55) + chr(1529 - 1481), 8) if WVxHKyX45z_L == ehT0Px3KOsy9('\x30' + '\x6f' + '\060', 8) else ed0oVQ7n0Y_q[WVxHKyX45z_L - ehT0Px3KOsy9('\x30' + '\x6f' + '\061', 8), tlORBuYsiw3X]
mtX6HPOlWiYu = ehT0Px3KOsy9('\060' + chr(111) + '\x30', 8) if tlORBuYsiw3X == ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + chr(0b110 + 0o52), 8) else ed0oVQ7n0Y_q[WVxHKyX45z_L, tlORBuYsiw3X - ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(0b110001), 8)]
if WVxHKyX45z_L == ehT0Px3KOsy9('\060' + chr(111) + '\x30', 8) or tlORBuYsiw3X == ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110000), 8):
ed0oVQ7n0Y_q[WVxHKyX45z_L, tlORBuYsiw3X] = tsdjvlgh9gDP(ncRLFRtCGSRg, mtX6HPOlWiYu, ed0oVQ7n0Y_q[WVxHKyX45z_L, tlORBuYsiw3X])
else:
ed0oVQ7n0Y_q[WVxHKyX45z_L, tlORBuYsiw3X] = ed0oVQ7n0Y_q[WVxHKyX45z_L, tlORBuYsiw3X] + ed0oVQ7n0Y_q[WVxHKyX45z_L - ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061', 8), tlORBuYsiw3X - ehT0Px3KOsy9(chr(699 - 651) + '\157' + '\x31', 8)]
return xafqLlk3kkUe(ed0oVQ7n0Y_q, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc\x86\x95\xc8\xf4\x9f\xc8KI]\xdb\xc6'), chr(811 - 711) + chr(4086 - 3985) + '\x63' + chr(0b1101001 + 0o6) + '\144' + chr(0b1100001 + 0o4))(chr(117) + '\164' + '\146' + chr(0b101101) + chr(1120 - 1064)))()
|
apache/incubator-mxnet
|
example/ctc/ctc_metrics.py
|
CtcMetrics.accuracy
|
def accuracy(self, label, pred):
""" Simple accuracy measure: number of 100% accurate predictions divided by total number """
hit = 0.
total = 0.
batch_size = label.shape[0]
for i in range(batch_size):
l = self._remove_blank(label[i])
p = []
for k in range(self.seq_len):
p.append(np.argmax(pred[k * batch_size + i]))
p = self.ctc_label(p)
if len(p) == len(l):
match = True
for k, _ in enumerate(p):
if p[k] != int(l[k]):
match = False
break
if match:
hit += 1.0
total += 1.0
assert total == batch_size
return hit / total
|
python
|
def accuracy(self, label, pred):
""" Simple accuracy measure: number of 100% accurate predictions divided by total number """
hit = 0.
total = 0.
batch_size = label.shape[0]
for i in range(batch_size):
l = self._remove_blank(label[i])
p = []
for k in range(self.seq_len):
p.append(np.argmax(pred[k * batch_size + i]))
p = self.ctc_label(p)
if len(p) == len(l):
match = True
for k, _ in enumerate(p):
if p[k] != int(l[k]):
match = False
break
if match:
hit += 1.0
total += 1.0
assert total == batch_size
return hit / total
|
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] |
Simple accuracy measure: number of 100% accurate predictions divided by total number
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ctc/ctc_metrics.py#L83-L104
|
train
|
Simple accuracy measure
|
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(7197 - 7086) + chr(49) + chr(1246 - 1194), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(2161 - 2111) + chr(49) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(983 - 935) + chr(8554 - 8443) + '\061' + chr(0b110111) + '\x37', 13195 - 13187), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(2441 - 2330) + '\x33' + chr(55) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b10100 + 0o43) + chr(52), 14845 - 14837), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010 + 0o1) + '\x33' + chr(0b10010 + 0o43), 58987 - 58979), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + '\063' + '\x34' + chr(50), 0o10), ehT0Px3KOsy9(chr(1189 - 1141) + chr(316 - 205) + '\x31' + chr(0b110011) + chr(2007 - 1958), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(55) + chr(0b110000), 10540 - 10532), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001101 + 0o42) + '\x31' + '\061' + chr(1831 - 1779), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(1441 - 1391) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(2529 - 2418) + '\061' + '\x30' + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(5199 - 5088) + chr(495 - 446) + chr(0b110010) + chr(0b101111 + 0o10), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(0b100111 + 0o12) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(0b110110) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + '\060' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(6300 - 6189) + chr(0b10 + 0o57) + chr(52) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9333 - 9222) + chr(0b100011 + 0o16) + '\061' + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(1587 - 1536) + chr(0b11001 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b11110 + 0o121) + '\x37' + chr(55), 49483 - 49475), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x35' + chr(1188 - 1134), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(12126 - 12015) + chr(49) + chr(53) + chr(0b1100 + 0o50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(7868 - 7757) + chr(53) + chr(0b11111 + 0o27), 8), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b110011) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1000 + 0o147) + chr(2154 - 2105) + chr(0b110100) + chr(53), 31411 - 31403), ehT0Px3KOsy9('\060' + chr(0b1010000 + 0o37) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(52) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10010 + 0o44), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(53) + '\060', 11634 - 11626), ehT0Px3KOsy9(chr(1822 - 1774) + '\x6f' + chr(51) + chr(55) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(5144 - 5033) + '\062' + chr(2809 - 2756) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(0b1 + 0o61) + chr(0b1001 + 0o53) + chr(2735 - 2681), 0o10), ehT0Px3KOsy9(chr(2183 - 2135) + chr(1506 - 1395) + chr(49) + chr(52) + chr(0b110101 + 0o0), 8), ehT0Px3KOsy9(chr(2147 - 2099) + chr(0b0 + 0o157) + '\063' + chr(0b100110 + 0o12), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(53) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(4180 - 4069) + chr(0b100010 + 0o17) + chr(55) + chr(0b110001), 14288 - 14280), ehT0Px3KOsy9(chr(48) + '\x6f' + '\067', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x35' + '\x34', 48771 - 48763), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + '\x31' + chr(378 - 324), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(611 - 563) + '\x6f' + '\x35' + chr(0b10000 + 0o40), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'"'), chr(7968 - 7868) + '\145' + chr(8344 - 8245) + chr(0b1101111) + chr(0b1001011 + 0o31) + chr(0b1000101 + 0o40))(chr(117) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(1733 - 1677)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Nb7fObKn_ZBQ(oVre8I6UXc3b, TRUOLFLuD08x, eyamnrN0elUS):
d4DTCT0eyA8A = 0.0
K6dkrI1oAm5b = 0.0
ix9dZyeAmUxY = TRUOLFLuD08x.nauYfLglTpcb[ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x30', 8)]
for WVxHKyX45z_L in vQr8gNKaIaWE(ix9dZyeAmUxY):
aLoH_Mt0dzwO = oVre8I6UXc3b._remove_blank(TRUOLFLuD08x[WVxHKyX45z_L])
UyakMW2IMFEj = []
for OolUPRJhRaJd in vQr8gNKaIaWE(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f\xec\x0e\xa5\x90\xb8\x8c'), chr(100) + chr(0b1100101) + chr(0b1000001 + 0o42) + chr(111) + chr(5516 - 5416) + chr(0b1001100 + 0o31))(chr(117) + '\164' + '\x66' + chr(45) + '\x38'))):
xafqLlk3kkUe(UyakMW2IMFEj, xafqLlk3kkUe(SXOLrMavuUCe(b'm\xf9\x0f\x9f\x92\xb9'), chr(0b11101 + 0o107) + chr(0b1011010 + 0o13) + chr(0b1011111 + 0o4) + '\157' + '\x64' + chr(0b1100101))(chr(117) + chr(0b100100 + 0o120) + '\146' + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'm\xfb\x18\x97\x9d\xa5'), chr(0b1101 + 0o127) + chr(0b1100101) + chr(99) + chr(111) + chr(1857 - 1757) + chr(0b1100101))(chr(0b111101 + 0o70) + chr(0b1110100) + chr(0b101010 + 0o74) + '\055' + chr(0b111000)))(eyamnrN0elUS[OolUPRJhRaJd * ix9dZyeAmUxY + WVxHKyX45z_L]))
UyakMW2IMFEj = oVre8I6UXc3b.ctc_label(UyakMW2IMFEj)
if c2A0yzQpDQB3(UyakMW2IMFEj) == c2A0yzQpDQB3(aLoH_Mt0dzwO):
AZi1vqvu7T1_ = ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001), 0b1000)
for (OolUPRJhRaJd, VNGQdHSFPrso) in YlkZvXL8qwsX(UyakMW2IMFEj):
if UyakMW2IMFEj[OolUPRJhRaJd] != ehT0Px3KOsy9(aLoH_Mt0dzwO[OolUPRJhRaJd]):
AZi1vqvu7T1_ = ehT0Px3KOsy9(chr(48) + chr(10403 - 10292) + '\060', 8)
break
if AZi1vqvu7T1_:
d4DTCT0eyA8A += 1.0
K6dkrI1oAm5b += 1.0
assert K6dkrI1oAm5b == ix9dZyeAmUxY
return d4DTCT0eyA8A / K6dkrI1oAm5b
|
apache/incubator-mxnet
|
example/ctc/ctc_metrics.py
|
CtcMetrics.accuracy_lcs
|
def accuracy_lcs(self, label, pred):
""" Longest Common Subsequence accuracy measure: calculate accuracy of each prediction as LCS/length"""
hit = 0.
total = 0.
batch_size = label.shape[0]
for i in range(batch_size):
l = self._remove_blank(label[i])
p = []
for k in range(self.seq_len):
p.append(np.argmax(pred[k * batch_size + i]))
p = self.ctc_label(p)
hit += self._lcs(p, l) * 1.0 / len(l)
total += 1.0
assert total == batch_size
return hit / total
|
python
|
def accuracy_lcs(self, label, pred):
""" Longest Common Subsequence accuracy measure: calculate accuracy of each prediction as LCS/length"""
hit = 0.
total = 0.
batch_size = label.shape[0]
for i in range(batch_size):
l = self._remove_blank(label[i])
p = []
for k in range(self.seq_len):
p.append(np.argmax(pred[k * batch_size + i]))
p = self.ctc_label(p)
hit += self._lcs(p, l) * 1.0 / len(l)
total += 1.0
assert total == batch_size
return hit / total
|
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Longest Common Subsequence accuracy measure: calculate accuracy of each prediction as LCS/length
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ctc/ctc_metrics.py#L106-L120
|
train
|
Longest Common Subsequence accuracy measure
|
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(8892 - 8781) + chr(0b11 + 0o57) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(2803 - 2692) + chr(51) + chr(2637 - 2582) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(51) + chr(2472 - 2421), 18750 - 18742), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000111 + 0o50) + '\x32' + chr(0b110010) + chr(0b110010), 10359 - 10351), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(49) + chr(390 - 336), 45479 - 45471), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(545 - 493) + chr(0b101010 + 0o15), 0b1000), ehT0Px3KOsy9(chr(1288 - 1240) + chr(111) + chr(49) + chr(0b110011) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111 + 0o0) + chr(2498 - 2447) + chr(0b110011) + chr(0b10010 + 0o37), 0b1000), ehT0Px3KOsy9('\060' + chr(0b101111 + 0o100) + '\062' + '\x34' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + '\063' + '\061' + chr(1358 - 1304), ord("\x08")), ehT0Px3KOsy9(chr(876 - 828) + chr(11930 - 11819) + '\063' + chr(0b101011 + 0o5) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100101 + 0o12) + chr(51 - 2) + '\062' + '\061', 62127 - 62119), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b110100) + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100110 + 0o11) + chr(0b110010) + chr(0b111 + 0o53) + '\066', 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1010101 + 0o32) + chr(49) + chr(0b11 + 0o62) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(0b1011110 + 0o21) + chr(0b110001) + '\067' + '\060', 12720 - 12712), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(0b11001 + 0o33) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + chr(50) + chr(0b1000 + 0o52) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110010 + 0o75) + chr(0b101110 + 0o5) + chr(2141 - 2090) + '\060', 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(0b110011) + chr(1419 - 1364), 65106 - 65098), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(1069 - 1020) + chr(0b100101 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\065' + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001110 + 0o41) + chr(55) + chr(1162 - 1113), ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(0b100001 + 0o21) + chr(917 - 867) + chr(1073 - 1024), 57406 - 57398), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\067' + '\x35', 26301 - 26293), ehT0Px3KOsy9(chr(206 - 158) + '\157' + chr(0b110011) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(53) + '\064', 0o10), ehT0Px3KOsy9(chr(1867 - 1819) + chr(5511 - 5400) + '\x34' + '\x35', 0b1000), ehT0Px3KOsy9(chr(1217 - 1169) + '\157' + chr(51) + chr(2080 - 2030) + chr(121 - 72), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b1001 + 0o52) + chr(0b110001) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(55) + chr(766 - 715), 0b1000), ehT0Px3KOsy9('\060' + chr(7034 - 6923) + chr(2548 - 2496) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(7493 - 7382) + chr(0b11001 + 0o32) + '\065' + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(1503 - 1392) + '\x31' + chr(2175 - 2125) + chr(0b10100 + 0o37), 0o10), ehT0Px3KOsy9(chr(996 - 948) + chr(111) + chr(0b111 + 0o56) + chr(2162 - 2112), 56274 - 56266), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001111 + 0o40) + chr(0b101101 + 0o6) + '\067' + chr(55), 14118 - 14110), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(795 - 745) + chr(49) + chr(386 - 334), ord("\x08")), ehT0Px3KOsy9(chr(2261 - 2213) + chr(111) + chr(49) + chr(0b110110) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\065' + chr(53), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + '\x35' + chr(0b1 + 0o57), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'='), chr(0b1010010 + 0o22) + chr(0b1100101) + chr(6799 - 6700) + '\x6f' + chr(0b1100100) + '\x65')('\165' + chr(0b111011 + 0o71) + chr(102) + '\x2d' + chr(0b110 + 0o62)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def FjEjJH09IHPq(oVre8I6UXc3b, TRUOLFLuD08x, eyamnrN0elUS):
d4DTCT0eyA8A = 0.0
K6dkrI1oAm5b = 0.0
ix9dZyeAmUxY = TRUOLFLuD08x.nauYfLglTpcb[ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x30', 0b1000)]
for WVxHKyX45z_L in vQr8gNKaIaWE(ix9dZyeAmUxY):
aLoH_Mt0dzwO = oVre8I6UXc3b._remove_blank(TRUOLFLuD08x[WVxHKyX45z_L])
UyakMW2IMFEj = []
for OolUPRJhRaJd in vQr8gNKaIaWE(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'`\x9d*\xcd\xe2\xc22'), chr(7126 - 7026) + '\145' + chr(4986 - 4887) + chr(0b1101111) + '\x64' + '\145')(chr(3588 - 3471) + chr(116) + chr(0b1000100 + 0o42) + '\055' + '\x38'))):
xafqLlk3kkUe(UyakMW2IMFEj, xafqLlk3kkUe(SXOLrMavuUCe(b'r\x88+\xf7\xe0\xc3'), '\144' + chr(101) + chr(0b1100011) + '\x6f' + chr(100) + chr(7377 - 7276))('\165' + chr(0b1110100) + chr(0b1000100 + 0o42) + chr(0b100001 + 0o14) + chr(2240 - 2184)))(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'r\x8a<\xff\xef\xdf'), chr(0b1100100) + chr(0b10100 + 0o121) + '\x63' + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(0b100011 + 0o122) + chr(116) + chr(102) + chr(259 - 214) + chr(0b111000)))(eyamnrN0elUS[OolUPRJhRaJd * ix9dZyeAmUxY + WVxHKyX45z_L]))
UyakMW2IMFEj = oVre8I6UXc3b.ctc_label(UyakMW2IMFEj)
d4DTCT0eyA8A += oVre8I6UXc3b._lcs(UyakMW2IMFEj, aLoH_Mt0dzwO) * 1.0 / c2A0yzQpDQB3(aLoH_Mt0dzwO)
K6dkrI1oAm5b += 1.0
assert K6dkrI1oAm5b == ix9dZyeAmUxY
return d4DTCT0eyA8A / K6dkrI1oAm5b
|
apache/incubator-mxnet
|
example/sparse/matrix_factorization/data.py
|
get_movielens_iter
|
def get_movielens_iter(filename, batch_size):
"""Not particularly fast code to parse the text file and load into NDArrays.
return two data iters, one for train, the other for validation.
"""
logging.info("Preparing data iterators for " + filename + " ... ")
user = []
item = []
score = []
with open(filename, 'r') as f:
num_samples = 0
for line in f:
tks = line.strip().split('::')
if len(tks) != 4:
continue
num_samples += 1
user.append((tks[0]))
item.append((tks[1]))
score.append((tks[2]))
# convert to ndarrays
user = mx.nd.array(user, dtype='int32')
item = mx.nd.array(item)
score = mx.nd.array(score)
# prepare data iters
data_train = {'user': user, 'item': item}
label_train = {'score': score}
iter_train = mx.io.NDArrayIter(data=data_train,label=label_train,
batch_size=batch_size, shuffle=True)
return mx.io.PrefetchingIter(iter_train)
|
python
|
def get_movielens_iter(filename, batch_size):
"""Not particularly fast code to parse the text file and load into NDArrays.
return two data iters, one for train, the other for validation.
"""
logging.info("Preparing data iterators for " + filename + " ... ")
user = []
item = []
score = []
with open(filename, 'r') as f:
num_samples = 0
for line in f:
tks = line.strip().split('::')
if len(tks) != 4:
continue
num_samples += 1
user.append((tks[0]))
item.append((tks[1]))
score.append((tks[2]))
# convert to ndarrays
user = mx.nd.array(user, dtype='int32')
item = mx.nd.array(item)
score = mx.nd.array(score)
# prepare data iters
data_train = {'user': user, 'item': item}
label_train = {'score': score}
iter_train = mx.io.NDArrayIter(data=data_train,label=label_train,
batch_size=batch_size, shuffle=True)
return mx.io.PrefetchingIter(iter_train)
|
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] |
Not particularly fast code to parse the text file and load into NDArrays.
return two data iters, one for train, the other for validation.
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/sparse/matrix_factorization/data.py#L29-L56
|
train
|
This function is used to get data iterators for the movielens 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(0b110000) + chr(2420 - 2309) + chr(0b11000 + 0o32) + chr(0b11111 + 0o25) + chr(53), 33684 - 33676), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1812 - 1761) + chr(0b101100 + 0o5), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10101 + 0o41) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6952 - 6841) + '\x31' + chr(50) + chr(0b101 + 0o62), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b110101) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + chr(6674 - 6563) + chr(50) + chr(0b110110) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101 + 0o142) + '\x33' + chr(2840 - 2786) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11101 + 0o24) + chr(0b10 + 0o56) + '\x33', 22708 - 22700), ehT0Px3KOsy9('\060' + chr(4705 - 4594) + '\062' + chr(2766 - 2711), 63305 - 63297), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1148 - 1097) + chr(51) + chr(0b101011 + 0o7), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(416 - 367) + chr(0b110011) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b111 + 0o53) + chr(0b11101 + 0o27) + chr(2116 - 2064), 19845 - 19837), ehT0Px3KOsy9('\060' + chr(11313 - 11202) + chr(881 - 831) + chr(0b11011 + 0o26), 0b1000), ehT0Px3KOsy9('\060' + chr(8182 - 8071) + '\x31' + '\063' + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(4844 - 4733) + chr(2659 - 2606) + '\062', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(503 - 454) + chr(51) + '\060', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11101 + 0o25), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(132 - 82) + '\065' + chr(0b100111 + 0o15), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + '\x32' + chr(805 - 756), 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b11001 + 0o126) + chr(1687 - 1637) + '\062' + chr(0b111 + 0o52), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + '\065' + chr(1703 - 1649), ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + '\062' + '\062' + '\x34', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101011 + 0o7) + chr(0b1110 + 0o43) + chr(2342 - 2288), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100100 + 0o113) + chr(0b110001) + chr(0b101010 + 0o15) + chr(0b101110 + 0o5), 18603 - 18595), ehT0Px3KOsy9(chr(1785 - 1737) + chr(111) + chr(2099 - 2044) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(122 - 71) + '\063' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + '\064' + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(0b11110 + 0o121) + chr(0b110011) + chr(51) + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(0b1001000 + 0o47) + '\061' + chr(851 - 798) + chr(0b110000 + 0o5), 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + '\065' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b110011) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(50) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1 + 0o61) + '\063' + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + chr(11800 - 11689) + '\063' + chr(0b100001 + 0o23) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + chr(0b110011) + chr(2440 - 2387) + chr(0b110110), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111 + 0o0) + '\061' + chr(55) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3705 - 3594) + '\061' + chr(0b110011) + chr(51), 8), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + chr(0b0 + 0o61) + chr(55) + chr(0b110010), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + '\x35' + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b'), '\x64' + chr(101) + '\143' + chr(3657 - 3546) + '\x64' + '\x65')(chr(0b1110101) + chr(0b1011 + 0o151) + '\146' + chr(0b101100 + 0o1) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def eXT8g2z33Zqb(xw4DsBfIJ22E, ix9dZyeAmUxY):
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6.}/\x9d\xd0\x93t}\xb6\x01\xcf'), '\144' + '\x65' + chr(99) + chr(0b1101111) + '\x64' + chr(7739 - 7638))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b"\xf5kP'\x89\xc1\x9d-p\xfa?\xc5e9\n1v\xc9#\xf0\x9a\xfb\xfc\x08\x1bn\xb0V\xfb"), '\x64' + '\x65' + chr(228 - 129) + chr(0b1011000 + 0o27) + chr(0b101111 + 0o65) + chr(0b1100101))('\165' + chr(0b1110100) + chr(102) + chr(0b101101) + chr(783 - 727)) + xw4DsBfIJ22E + xafqLlk3kkUe(SXOLrMavuUCe(b'\x857\x1by\xc8'), '\x64' + chr(0b1100101) + chr(6349 - 6250) + chr(111) + chr(0b100100 + 0o100) + chr(101))(chr(881 - 764) + chr(0b1110100) + chr(102) + '\x2d' + chr(2060 - 2004)))
FMTb8DewMQDd = []
N7j7ePTXzzI0 = []
n9fd4FsgoqFs = []
with _fwkIVCGgtAN(xw4DsBfIJ22E, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7'), chr(7836 - 7736) + chr(0b1100101) + chr(0b1010 + 0o131) + chr(0b1101111) + chr(0b1100100) + '\x65')('\x75' + chr(116) + chr(0b1010101 + 0o21) + chr(0b0 + 0o55) + chr(56))) as EGyt1xfPT1P6:
Wuetkhsbidt0 = ehT0Px3KOsy9(chr(630 - 582) + chr(111) + chr(0b110000), 696 - 688)
for LycYkDpyelF6 in EGyt1xfPT1P6:
I7cGqY_xcDDi = LycYkDpyelF6.strip().split(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f#'), chr(0b110000 + 0o64) + '\145' + chr(99) + chr(10754 - 10643) + chr(0b1100100) + chr(0b101000 + 0o75))(chr(0b100110 + 0o117) + chr(2898 - 2782) + chr(0b1100110) + chr(0b10101 + 0o30) + chr(56)))
if c2A0yzQpDQB3(I7cGqY_xcDDi) != ehT0Px3KOsy9('\x30' + '\157' + chr(0b110100), 14149 - 14141):
continue
Wuetkhsbidt0 += ehT0Px3KOsy9(chr(1330 - 1282) + '\x6f' + chr(2103 - 2054), 9028 - 9020)
xafqLlk3kkUe(FMTb8DewMQDd, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4iE2\x86\xd7'), chr(0b1100100) + '\x65' + '\x63' + '\x6f' + chr(2368 - 2268) + '\145')(chr(0b1001 + 0o154) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(943 - 887)))(I7cGqY_xcDDi[ehT0Px3KOsy9('\060' + chr(111) + chr(0b11 + 0o55), 8)])
xafqLlk3kkUe(N7j7ePTXzzI0, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4iE2\x86\xd7'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(0b1000100 + 0o53) + '\x64' + chr(0b1100101))('\165' + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\070'))(I7cGqY_xcDDi[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31', 8)])
xafqLlk3kkUe(n9fd4FsgoqFs, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4iE2\x86\xd7'), '\x64' + chr(0b1100101 + 0o0) + chr(99) + chr(0b101001 + 0o106) + '\x64' + chr(8167 - 8066))(chr(0b1001111 + 0o46) + chr(116) + chr(1573 - 1471) + '\x2d' + '\070'))(I7cGqY_xcDDi[ehT0Px3KOsy9(chr(1396 - 1348) + chr(111) + chr(50), 8)])
FMTb8DewMQDd = CIVheOt0RKQX.nd.B0ePDhpqxN5n(FMTb8DewMQDd, dtype=xafqLlk3kkUe(SXOLrMavuUCe(b'\xccwAd\xda'), '\144' + chr(0b1100101) + chr(99) + chr(0b111 + 0o150) + chr(0b1100100) + '\x65')(chr(8839 - 8722) + '\164' + '\146' + chr(45) + chr(1039 - 983)))
N7j7ePTXzzI0 = CIVheOt0RKQX.nd.B0ePDhpqxN5n(N7j7ePTXzzI0)
n9fd4FsgoqFs = CIVheOt0RKQX.nd.B0ePDhpqxN5n(n9fd4FsgoqFs)
cKmU7NtMOMDe = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0jP%'), chr(2501 - 2401) + chr(0b10111 + 0o116) + '\x63' + chr(111) + chr(100) + chr(101))(chr(0b110 + 0o157) + chr(355 - 239) + chr(102) + '\x2d' + chr(1410 - 1354)): FMTb8DewMQDd, xafqLlk3kkUe(SXOLrMavuUCe(b'\xccmP:'), '\x64' + '\145' + chr(4527 - 4428) + '\x6f' + '\144' + chr(0b1100101))(chr(8692 - 8575) + chr(116) + chr(102) + '\055' + chr(0b101001 + 0o17)): N7j7ePTXzzI0}
X3BOcUWIwXSH = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6zZ%\x8d'), chr(3757 - 3657) + chr(0b1010001 + 0o24) + '\143' + '\x6f' + chr(2555 - 2455) + chr(0b111000 + 0o55))(chr(0b111100 + 0o71) + chr(0b100101 + 0o117) + chr(0b1100110) + '\055' + chr(0b110011 + 0o5)): n9fd4FsgoqFs}
djwx_0IlIziw = CIVheOt0RKQX.io.NDArrayIter(data=cKmU7NtMOMDe, label=X3BOcUWIwXSH, batch_size=ix9dZyeAmUxY, shuffle=ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100101 + 0o14), 8))
return xafqLlk3kkUe(CIVheOt0RKQX.io, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5kP1\x8d\xc7\x97+~\xb4<\xede=X'), chr(100) + '\x65' + '\143' + '\157' + chr(100) + chr(10081 - 9980))('\165' + '\x74' + chr(102) + chr(1272 - 1227) + '\x38'))(djwx_0IlIziw)
|
apache/incubator-mxnet
|
plugin/opencv/opencv.py
|
imdecode
|
def imdecode(str_img, flag=1):
"""Decode image from str buffer.
Wrapper for cv2.imdecode that uses mx.nd.NDArray
Parameters
----------
str_img : str
str buffer read from image file
flag : int
same as flag for cv2.imdecode
Returns
-------
img : NDArray
decoded image in (width, height, channels)
with BGR color channel order
"""
hdl = NDArrayHandle()
check_call(_LIB.MXCVImdecode(ctypes.c_char_p(str_img),
mx_uint(len(str_img)),
flag, ctypes.byref(hdl)))
return mx.nd.NDArray(hdl)
|
python
|
def imdecode(str_img, flag=1):
"""Decode image from str buffer.
Wrapper for cv2.imdecode that uses mx.nd.NDArray
Parameters
----------
str_img : str
str buffer read from image file
flag : int
same as flag for cv2.imdecode
Returns
-------
img : NDArray
decoded image in (width, height, channels)
with BGR color channel order
"""
hdl = NDArrayHandle()
check_call(_LIB.MXCVImdecode(ctypes.c_char_p(str_img),
mx_uint(len(str_img)),
flag, ctypes.byref(hdl)))
return mx.nd.NDArray(hdl)
|
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] |
Decode image from str buffer.
Wrapper for cv2.imdecode that uses mx.nd.NDArray
Parameters
----------
str_img : str
str buffer read from image file
flag : int
same as flag for cv2.imdecode
Returns
-------
img : NDArray
decoded image in (width, height, channels)
with BGR color channel order
|
[
"Decode",
"image",
"from",
"str",
"buffer",
".",
"Wrapper",
"for",
"cv2",
".",
"imdecode",
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/plugin/opencv/opencv.py#L29-L49
|
train
|
Decode image from str buffer.
|
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(0b1010100 + 0o33) + chr(0b110001) + chr(737 - 684) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(49) + chr(0b11000 + 0o37), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11100 + 0o27) + chr(475 - 424) + chr(0b11000 + 0o30), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10 + 0o60) + '\067' + chr(0b10100 + 0o36), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(0b1100 + 0o53) + chr(0b110001), 35208 - 35200), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b110000) + '\x37', 54661 - 54653), ehT0Px3KOsy9('\x30' + chr(8645 - 8534) + chr(49) + chr(52) + '\065', 34986 - 34978), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(48) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(425 - 374) + chr(1341 - 1292) + chr(0b100000 + 0o22), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\x30' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(1112 - 1064) + '\x6f' + '\062' + chr(48) + chr(0b11111 + 0o22), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(6120 - 6009) + chr(0b110001) + chr(0b110001) + chr(0b10100 + 0o36), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + '\061' + chr(0b110111) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(1859 - 1811) + chr(0b1101111) + chr(0b110001) + '\064' + chr(2051 - 2003), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + '\062' + chr(844 - 790), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(0b110111) + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(3712 - 3601) + chr(0b110001) + chr(1070 - 1019) + chr(0b11011 + 0o34), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10110 + 0o35) + '\065' + chr(0b11110 + 0o31), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8720 - 8609) + '\x31' + chr(0b110100) + chr(1540 - 1492), 8), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(7074 - 6963) + chr(0b110011 + 0o1) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7479 - 7368) + '\061' + chr(0b110101) + chr(2470 - 2420), 42257 - 42249), ehT0Px3KOsy9('\x30' + chr(8592 - 8481) + '\061' + chr(52) + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11101 + 0o26) + chr(0b110110) + chr(2558 - 2503), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10001 + 0o46) + chr(2630 - 2576), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11010 + 0o125) + chr(1534 - 1483) + chr(0b101100 + 0o11) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8694 - 8583) + chr(606 - 557) + '\063' + chr(1930 - 1882), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110 + 0o55) + chr(0b110001 + 0o0) + '\065', 0b1000), ehT0Px3KOsy9(chr(1263 - 1215) + chr(111) + chr(49) + '\064' + '\065', 8), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(0b1101 + 0o44) + chr(0b110000) + '\061', 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(5699 - 5588) + '\066', 13870 - 13862), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(51) + chr(1747 - 1699) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(60 - 12) + chr(111) + '\062' + chr(1648 - 1593) + '\066', 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(7922 - 7811) + chr(0b110011) + '\066' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + '\x31' + chr(0b110100) + '\063', 8), ehT0Px3KOsy9('\x30' + chr(6095 - 5984) + chr(0b11101 + 0o24) + chr(68 - 20), 0o10), ehT0Px3KOsy9(chr(1321 - 1273) + chr(7774 - 7663) + chr(0b1101 + 0o45) + chr(0b110101) + chr(166 - 111), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000110 + 0o51) + chr(55) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(9533 - 9422) + chr(49) + chr(1049 - 997) + chr(0b101011 + 0o12), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b110110 + 0o71) + chr(0b101110 + 0o3) + chr(0b100011 + 0o17) + '\x36', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\067' + chr(0b110011 + 0o1), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + '\065' + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'@'), chr(0b110001 + 0o63) + '\145' + '\143' + chr(111) + chr(2704 - 2604) + chr(2403 - 2302))(chr(117) + chr(116) + chr(8941 - 8839) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def u609nKcy9gUj(Di4dGC1esoWD, d9JwkmeF0Ky0=ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + '\061', ord("\x08"))):
WYHuLDJkKIZM = v4apgis0SrXp()
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'#\xd7\x9b\xec0\xaa\x01\xe7\xa9\xec\xe5/'), chr(100) + chr(968 - 867) + chr(99) + chr(0b1101111) + chr(0b1100001 + 0o3) + '\145')(chr(4507 - 4390) + chr(11082 - 10966) + '\146' + chr(45) + chr(0b110111 + 0o1)))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\r\xd0\xbb\xd2\x18\xb5:\xf2'), chr(0b1100100) + chr(0b1100101) + chr(0b1000111 + 0o34) + '\x6f' + chr(0b1100100) + chr(101))('\165' + '\164' + chr(102) + chr(45) + chr(56)))(Di4dGC1esoWD), RSEUJ_H3k51M(c2A0yzQpDQB3(Di4dGC1esoWD)), d9JwkmeF0Ky0, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c\xf6\xaa\xdf\x1f'), chr(4005 - 3905) + chr(7174 - 7073) + chr(0b10010 + 0o121) + '\157' + '\144' + '\x65')('\165' + chr(7662 - 7546) + chr(5500 - 5398) + chr(1333 - 1288) + '\x38'))(WYHuLDJkKIZM)))
return xafqLlk3kkUe(CIVheOt0RKQX.nd, xafqLlk3kkUe(SXOLrMavuUCe(b' \xcb\x99\xc8\x0b\xa6\x1c'), '\144' + chr(8081 - 7980) + chr(2748 - 2649) + chr(0b101010 + 0o105) + '\x64' + '\145')(chr(562 - 445) + chr(0b0 + 0o164) + '\146' + chr(299 - 254) + '\x38'))(WYHuLDJkKIZM)
|
apache/incubator-mxnet
|
plugin/opencv/opencv.py
|
resize
|
def resize(src, size, interpolation=cv2.INTER_LINEAR):
"""Decode image from str buffer.
Wrapper for cv2.imresize that uses mx.nd.NDArray
Parameters
----------
src : NDArray
image in (width, height, channels)
size : tuple
target size in (width, height)
interpolation : int
same as interpolation for cv2.imresize
Returns
-------
img : NDArray
resized image
"""
hdl = NDArrayHandle()
check_call(_LIB.MXCVResize(src.handle, mx_uint(size[0]), mx_uint(size[1]),
interpolation, ctypes.byref(hdl)))
return mx.nd.NDArray(hdl)
|
python
|
def resize(src, size, interpolation=cv2.INTER_LINEAR):
"""Decode image from str buffer.
Wrapper for cv2.imresize that uses mx.nd.NDArray
Parameters
----------
src : NDArray
image in (width, height, channels)
size : tuple
target size in (width, height)
interpolation : int
same as interpolation for cv2.imresize
Returns
-------
img : NDArray
resized image
"""
hdl = NDArrayHandle()
check_call(_LIB.MXCVResize(src.handle, mx_uint(size[0]), mx_uint(size[1]),
interpolation, ctypes.byref(hdl)))
return mx.nd.NDArray(hdl)
|
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"(",
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")"
] |
Decode image from str buffer.
Wrapper for cv2.imresize that uses mx.nd.NDArray
Parameters
----------
src : NDArray
image in (width, height, channels)
size : tuple
target size in (width, height)
interpolation : int
same as interpolation for cv2.imresize
Returns
-------
img : NDArray
resized image
|
[
"Decode",
"image",
"from",
"str",
"buffer",
".",
"Wrapper",
"for",
"cv2",
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"imresize",
"that",
"uses",
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/plugin/opencv/opencv.py#L51-L72
|
train
|
Decode image from str buffer.
|
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(51) + '\062' + chr(0b110000 + 0o1), 0b1000), ehT0Px3KOsy9('\060' + chr(0b100111 + 0o110) + '\063' + chr(54) + chr(0b101110 + 0o5), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + chr(51) + chr(0b110011) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11000 + 0o33) + '\064' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10001 + 0o136) + chr(0b110011) + '\x33', 0o10), ehT0Px3KOsy9(chr(813 - 765) + chr(2116 - 2005) + chr(50) + chr(1068 - 1017) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(2531 - 2420) + chr(0b110011) + chr(51) + chr(2632 - 2578), 19324 - 19316), ehT0Px3KOsy9(chr(124 - 76) + '\157' + chr(0b110010) + chr(0b101111 + 0o4) + chr(0b11 + 0o57), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(2542 - 2491) + chr(0b110100 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(876 - 828) + chr(111) + chr(51) + chr(50) + chr(0b100 + 0o54), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b110111) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1003 - 954) + chr(0b11 + 0o56), 17232 - 17224), ehT0Px3KOsy9(chr(257 - 209) + chr(0b10111 + 0o130) + chr(49) + chr(0b10001 + 0o44) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(508 - 460) + chr(111) + '\x31' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101001 + 0o6) + chr(1150 - 1099) + chr(0b110111) + chr(0b1011 + 0o51), 0b1000), ehT0Px3KOsy9(chr(453 - 405) + chr(0b100 + 0o153) + chr(50) + '\066' + chr(2809 - 2754), 14055 - 14047), ehT0Px3KOsy9(chr(1093 - 1045) + chr(111) + chr(1697 - 1644) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + chr(49) + chr(0b1110 + 0o46) + chr(0b110010), 39136 - 39128), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(0b110100) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(1160 - 1049) + '\x32' + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(1006 - 953) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100011 + 0o16) + chr(0b101 + 0o54) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110100) + chr(0b100111 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(1238 - 1190) + '\x6f' + '\x31' + chr(0b110001) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + '\x35' + chr(2057 - 2008), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(0b100101 + 0o13) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(0b100100 + 0o21) + chr(0b110110), 40007 - 39999), ehT0Px3KOsy9(chr(0b110000) + chr(8829 - 8718) + '\067' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(2445 - 2395) + chr(51) + chr(0b101100 + 0o11), 48009 - 48001), ehT0Px3KOsy9('\x30' + chr(0b1101101 + 0o2) + '\x31' + '\067' + chr(0b10 + 0o60), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\066' + chr(0b11010 + 0o31), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11111 + 0o23) + chr(52) + chr(0b110110), 12678 - 12670), ehT0Px3KOsy9(chr(0b110000) + chr(10786 - 10675) + '\065' + chr(51), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11001 + 0o31) + '\x34' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(1396 - 1348) + chr(111) + chr(0b10110 + 0o35) + chr(0b10 + 0o57), 53760 - 53752), ehT0Px3KOsy9(chr(0b110000) + chr(0b100 + 0o153) + chr(51) + chr(413 - 365) + '\062', 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b10110 + 0o131) + chr(49), 14388 - 14380), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + '\x34' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(48) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(0b110011) + chr(0b1111 + 0o44), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b101 + 0o152) + '\x35' + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xff'), '\x64' + '\145' + chr(0b1011101 + 0o6) + chr(0b1101 + 0o142) + chr(100) + chr(0b1100101))(chr(0b1010111 + 0o36) + chr(0b1110100) + '\146' + chr(0b11111 + 0o16) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def x_dQG0ykrOi1(SBY5QklkRnQv, NLcc3BCJnQka, TLLWAvIaY1XC=xafqLlk3kkUe(KJXrc9aHu3IJ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x98\xbd\x8d\xa0I\xc7\x92\xd3\x93\x95:['), chr(4264 - 4164) + '\145' + chr(0b1100011) + chr(111) + '\x64' + '\145')(chr(0b100010 + 0o123) + chr(0b1100011 + 0o21) + '\x66' + '\x2d' + chr(0b1011 + 0o55)))):
WYHuLDJkKIZM = v4apgis0SrXp()
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\xab\x9a\xb3I\xfd\xad\xf3\xa7\xb5'), chr(0b1100100) + chr(101) + '\x63' + '\157' + chr(5583 - 5483) + chr(0b10 + 0o143))('\165' + '\164' + chr(7173 - 7071) + chr(45) + '\070'))(xafqLlk3kkUe(SBY5QklkRnQv, xafqLlk3kkUe(SXOLrMavuUCe(b'\x82\x8b\x8d\x90V\xe9\x98\xc0\xb9\xaa!q'), '\x64' + chr(101) + chr(99) + '\157' + chr(0b1001111 + 0o25) + '\x65')(chr(117) + '\x74' + chr(3601 - 3499) + chr(279 - 234) + chr(0b111000))), RSEUJ_H3k51M(NLcc3BCJnQka[ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000), 0b1000)]), RSEUJ_H3k51M(NLcc3BCJnQka[ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(98 - 49), 8)]), TLLWAvIaY1XC, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\x8a\xab\x80}'), chr(100) + chr(0b1100101) + chr(493 - 394) + chr(111) + chr(0b110 + 0o136) + chr(5188 - 5087))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\055' + chr(1958 - 1902)))(WYHuLDJkKIZM)))
return xafqLlk3kkUe(CIVheOt0RKQX.nd, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\xb7\x98\x97i\xf9\xa7'), chr(0b101001 + 0o73) + '\x65' + chr(0b1100011) + chr(5476 - 5365) + '\144' + '\x65')('\165' + chr(116) + chr(0b1100110) + '\055' + '\x38'))(WYHuLDJkKIZM)
|
apache/incubator-mxnet
|
plugin/opencv/opencv.py
|
copyMakeBorder
|
def copyMakeBorder(src, top, bot, left, right, border_type=cv2.BORDER_CONSTANT, value=0):
"""Pad image border
Wrapper for cv2.copyMakeBorder that uses mx.nd.NDArray
Parameters
----------
src : NDArray
Image in (width, height, channels).
Others are the same with cv2.copyMakeBorder
Returns
-------
img : NDArray
padded image
"""
hdl = NDArrayHandle()
check_call(_LIB.MXCVcopyMakeBorder(src.handle, ctypes.c_int(top), ctypes.c_int(bot),
ctypes.c_int(left), ctypes.c_int(right),
ctypes.c_int(border_type), ctypes.c_double(value),
ctypes.byref(hdl)))
return mx.nd.NDArray(hdl)
|
python
|
def copyMakeBorder(src, top, bot, left, right, border_type=cv2.BORDER_CONSTANT, value=0):
"""Pad image border
Wrapper for cv2.copyMakeBorder that uses mx.nd.NDArray
Parameters
----------
src : NDArray
Image in (width, height, channels).
Others are the same with cv2.copyMakeBorder
Returns
-------
img : NDArray
padded image
"""
hdl = NDArrayHandle()
check_call(_LIB.MXCVcopyMakeBorder(src.handle, ctypes.c_int(top), ctypes.c_int(bot),
ctypes.c_int(left), ctypes.c_int(right),
ctypes.c_int(border_type), ctypes.c_double(value),
ctypes.byref(hdl)))
return mx.nd.NDArray(hdl)
|
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] |
Pad image border
Wrapper for cv2.copyMakeBorder that uses mx.nd.NDArray
Parameters
----------
src : NDArray
Image in (width, height, channels).
Others are the same with cv2.copyMakeBorder
Returns
-------
img : NDArray
padded image
|
[
"Pad",
"image",
"border",
"Wrapper",
"for",
"cv2",
".",
"copyMakeBorder",
"that",
"uses",
"mx",
".",
"nd",
".",
"NDArray"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/plugin/opencv/opencv.py#L74-L94
|
train
|
Pad image border with border type.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + chr(52), 8847 - 8839), ehT0Px3KOsy9('\x30' + chr(7136 - 7025) + '\063' + chr(0b11011 + 0o25) + chr(0b110111), 27178 - 27170), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\x34' + chr(0b1 + 0o57), 0b1000), ehT0Px3KOsy9(chr(2290 - 2242) + chr(1572 - 1461) + chr(51) + chr(55) + chr(0b1011 + 0o47), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(1138 - 1090) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101111 + 0o100) + chr(55) + chr(205 - 157), 37787 - 37779), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100000 + 0o25) + chr(0b110001 + 0o6), 0o10), ehT0Px3KOsy9('\060' + chr(3081 - 2970) + '\x32' + chr(53) + chr(1278 - 1227), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1970 - 1919) + chr(51) + chr(100 - 46), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1000 + 0o51) + chr(51) + chr(2078 - 2025), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\066' + chr(0b11101 + 0o25), ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + '\x33' + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100011 + 0o17) + chr(48) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(930 - 880) + '\x30' + chr(55), 27198 - 27190), ehT0Px3KOsy9('\060' + chr(1118 - 1007) + chr(1585 - 1534) + chr(0b110101) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(0b1101 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(349 - 301) + chr(0b1101111) + chr(50) + chr(0b110010) + chr(2520 - 2466), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(52) + chr(0b11110 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\x32' + chr(0b1110 + 0o44), 0b1000), ehT0Px3KOsy9(chr(758 - 710) + chr(0b1101111) + chr(0b1001 + 0o52) + chr(0b110100) + chr(0b1101 + 0o44), 0b1000), ehT0Px3KOsy9(chr(1186 - 1138) + '\157' + chr(49) + chr(199 - 151) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\064' + '\062', 4355 - 4347), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(0b110011) + '\063' + chr(1834 - 1786), 39812 - 39804), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101100 + 0o5) + chr(0b1111 + 0o41) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + chr(1699 - 1649) + chr(52) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1751 - 1703) + '\157' + chr(225 - 174) + '\063' + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(1441 - 1330) + chr(49) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(2075 - 2027) + chr(0b1101111) + '\x33' + chr(478 - 425), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(50) + chr(0b110111) + chr(0b100001 + 0o23), 38953 - 38945), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(201 - 152) + '\x32' + '\062', 8), ehT0Px3KOsy9('\060' + chr(0b11101 + 0o122) + chr(0b11001 + 0o30) + chr(0b11 + 0o63) + '\x35', 0b1000), ehT0Px3KOsy9(chr(577 - 529) + chr(0b1101111) + '\063' + '\060' + chr(2165 - 2113), 26852 - 26844), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(51) + chr(1116 - 1062), 8151 - 8143), ehT0Px3KOsy9(chr(0b110000) + chr(1849 - 1738) + chr(2413 - 2362) + '\x36' + chr(0b110111), 54946 - 54938), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(358 - 309) + chr(0b11001 + 0o34) + chr(0b1100 + 0o46), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(12014 - 11903) + chr(0b110011) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001001 + 0o46) + chr(1555 - 1505) + chr(0b11100 + 0o24) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(0b110001 + 0o0) + chr(1940 - 1885) + chr(48), 38127 - 38119), ehT0Px3KOsy9(chr(1002 - 954) + chr(111) + '\062' + '\065' + '\060', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110101) + chr(0b100001 + 0o17), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'*'), chr(100) + chr(0b1100101) + chr(2026 - 1927) + chr(0b11000 + 0o127) + chr(0b1100100) + chr(101))(chr(117) + '\164' + chr(0b11011 + 0o113) + '\x2d' + chr(0b10011 + 0o45)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GQdW0xXZajvb(SBY5QklkRnQv, qxrVBjeryNEZ, kbTbGu1iaXC_, mtX6HPOlWiYu, isOYmsUx1jxa, D_U7IvSh4lar=xafqLlk3kkUe(KJXrc9aHu3IJ, xafqLlk3kkUe(SXOLrMavuUCe(b'F\x88\xf2\xbe\x01jp\xe8\x91\x13\xa1M\xc0\xc9\xbe'), chr(0b11 + 0o141) + '\x65' + chr(0b1100011) + chr(111) + '\x64' + chr(101))(chr(0b1110101) + '\164' + chr(102) + chr(0b101101) + chr(56))), QmmgWUB13VCJ=ehT0Px3KOsy9(chr(1695 - 1647) + '\x6f' + chr(0b1101 + 0o43), 37869 - 37861)):
WYHuLDJkKIZM = v4apgis0SrXp()
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b"I\x9f\xe3\xac'W_\xd2\x93<\x99|\xc3\xe8\x98v\xf3\x92"), chr(100) + chr(0b10101 + 0o120) + chr(6869 - 6770) + chr(0b1101111) + chr(4320 - 4220) + '\145')(chr(1891 - 1774) + '\x74' + chr(102) + '\x2d' + chr(1162 - 1106)))(xafqLlk3kkUe(SBY5QklkRnQv, xafqLlk3kkUe(SXOLrMavuUCe(b"W\xbf\xf4\x8f\tIi\xf1\xba'\xa8a"), chr(0b11111 + 0o105) + chr(0b1100101) + chr(99) + '\157' + chr(100) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1011111 + 0o7) + chr(0b101101) + chr(56))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'g\x98\xc9\x940'), chr(100) + '\x65' + chr(9433 - 9334) + chr(0b1101111) + chr(0b10011 + 0o121) + chr(0b1101 + 0o130))(chr(0b101 + 0o160) + chr(11223 - 11107) + chr(0b1000101 + 0o41) + chr(0b101101) + chr(56)))(qxrVBjeryNEZ), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'g\x98\xc9\x940'), chr(100) + chr(101) + '\143' + chr(3430 - 3319) + '\144' + chr(0b101000 + 0o75))('\165' + '\164' + chr(102) + chr(0b100010 + 0o13) + '\x38'))(kbTbGu1iaXC_), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'g\x98\xc9\x940'), chr(6177 - 6077) + chr(101) + chr(9619 - 9520) + '\x6f' + '\144' + chr(0b100011 + 0o102))('\x75' + chr(0b110000 + 0o104) + chr(0b1001000 + 0o36) + chr(95 - 50) + chr(1060 - 1004)))(mtX6HPOlWiYu), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'g\x98\xc9\x940'), '\x64' + chr(2316 - 2215) + chr(0b1100011) + chr(0b100 + 0o153) + chr(0b1001 + 0o133) + chr(415 - 314))('\x75' + '\164' + chr(102) + chr(45) + '\x38'))(isOYmsUx1jxa), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'g\x98\xc9\x940'), chr(1159 - 1059) + chr(2279 - 2178) + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(101))('\165' + chr(116) + chr(102) + chr(45) + chr(56)))(D_U7IvSh4lar), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'g\x98\xc4\x951ZC\xce'), chr(0b1001110 + 0o26) + chr(0b101010 + 0o73) + '\x63' + chr(0b1100100 + 0o13) + '\x64' + chr(0b1100101))(chr(479 - 362) + chr(116) + chr(102) + '\x2d' + chr(0b111000)))(QmmgWUB13VCJ), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'f\xbe\xd2\x9f"'), chr(0b101011 + 0o71) + '\145' + '\143' + chr(3160 - 3049) + '\x64' + chr(2872 - 2771))(chr(0b10010 + 0o143) + chr(0b1010111 + 0o35) + '\x66' + chr(45) + chr(2650 - 2594)))(WYHuLDJkKIZM)))
return xafqLlk3kkUe(CIVheOt0RKQX.nd, xafqLlk3kkUe(SXOLrMavuUCe(b'J\x83\xe1\x886YV'), chr(100) + chr(0b1100100 + 0o1) + chr(0b101010 + 0o71) + chr(0b1101111) + chr(100) + '\x65')('\x75' + '\x74' + '\146' + '\x2d' + '\x38'))(WYHuLDJkKIZM)
|
apache/incubator-mxnet
|
plugin/opencv/opencv.py
|
fixed_crop
|
def fixed_crop(src, x0, y0, w, h, size=None, interpolation=cv2.INTER_CUBIC):
"""Crop src at fixed location, and (optionally) resize it to size"""
out = mx.nd.crop(src, begin=(y0, x0, 0), end=(y0+h, x0+w, int(src.shape[2])))
if size is not None and (w, h) != size:
out = resize(out, size, interpolation=interpolation)
return out
|
python
|
def fixed_crop(src, x0, y0, w, h, size=None, interpolation=cv2.INTER_CUBIC):
"""Crop src at fixed location, and (optionally) resize it to size"""
out = mx.nd.crop(src, begin=(y0, x0, 0), end=(y0+h, x0+w, int(src.shape[2])))
if size is not None and (w, h) != size:
out = resize(out, size, interpolation=interpolation)
return out
|
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] |
Crop src at fixed location, and (optionally) resize it to size
|
[
"Crop",
"src",
"at",
"fixed",
"location",
"and",
"(",
"optionally",
")",
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"it",
"to",
"size"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/plugin/opencv/opencv.py#L107-L112
|
train
|
Crop src at fixed location and resize it to 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(0b110000) + '\x6f' + '\x31' + chr(0b110111) + '\060', 38758 - 38750), ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + chr(2025 - 1974) + chr(0b1011 + 0o51) + '\065', 55504 - 55496), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\066' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6728 - 6617) + '\x32' + '\x33' + '\x32', 65400 - 65392), ehT0Px3KOsy9('\x30' + chr(0b110101 + 0o72) + '\063' + chr(53) + chr(245 - 193), 0b1000), ehT0Px3KOsy9(chr(1550 - 1502) + '\157' + '\x37' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100100 + 0o16) + '\x34' + '\063', 0o10), ehT0Px3KOsy9(chr(2176 - 2128) + chr(111) + '\062' + chr(0b110000) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + chr(0b110001) + chr(228 - 180) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\065' + chr(0b110111 + 0o0), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10011 + 0o37) + chr(0b101110 + 0o11) + chr(0b110001 + 0o2), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(361 - 307) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\x32' + '\x36', 0o10), ehT0Px3KOsy9(chr(1815 - 1767) + chr(0b1101111) + '\063' + chr(48) + chr(609 - 557), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(2246 - 2193) + '\061', 14015 - 14007), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x37' + chr(1032 - 984), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101110 + 0o1) + chr(66 - 15) + '\062' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\060', 33083 - 33075), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + '\x34' + chr(0b11100 + 0o33), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(7441 - 7330) + '\061' + '\065' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + '\065' + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\x32' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x37' + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(902 - 849), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101100 + 0o5) + chr(0b101010 + 0o15) + '\060', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b100000 + 0o23) + '\062', 24968 - 24960), ehT0Px3KOsy9('\060' + '\x6f' + '\x35' + chr(418 - 365), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1779 - 1730) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2318 - 2269) + chr(0b110001) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(55) + chr(1263 - 1214), 61296 - 61288), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b110100) + chr(1416 - 1367), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x36' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + chr(507 - 457) + chr(0b110001) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(4483 - 4372) + '\x33' + chr(0b100111 + 0o12), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1512 - 1463) + '\065' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6164 - 6053) + chr(0b11 + 0o60) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x30', 8), ehT0Px3KOsy9(chr(2296 - 2248) + '\157' + chr(1944 - 1895) + chr(444 - 392) + chr(0b110010), 23410 - 23402), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001 + 0o146) + chr(0b100010 + 0o24) + chr(1122 - 1072), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(685 - 636) + '\x37' + '\x32', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110101) + chr(2097 - 2049), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'V'), chr(916 - 816) + chr(101) + '\x63' + '\x6f' + chr(0b101011 + 0o71) + '\145')(chr(0b1011101 + 0o30) + chr(10381 - 10265) + chr(0b1100110) + chr(45) + chr(0b10100 + 0o44)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def P2JjN8tglIvk(SBY5QklkRnQv, MTHwGDA8i59t, TTufnT3oefIY, AOfzRywRzEXp, sz4HVsFVF8nL, NLcc3BCJnQka=None, TLLWAvIaY1XC=xafqLlk3kkUe(KJXrc9aHu3IJ, xafqLlk3kkUe(SXOLrMavuUCe(b'1\xab\xe5\xdf\xbec\xe0\xd4\x04\xa6\xf8'), chr(100) + '\145' + chr(2388 - 2289) + chr(0b1001110 + 0o41) + chr(0b1100100) + '\145')(chr(117) + chr(0b1110100) + chr(10163 - 10061) + '\x2d' + chr(56)))):
UkrMp_I0RDmo = CIVheOt0RKQX.nd.crop(SBY5QklkRnQv, begin=(TTufnT3oefIY, MTHwGDA8i59t, ehT0Px3KOsy9('\060' + '\x6f' + chr(2032 - 1984), 8)), end=(TTufnT3oefIY + sz4HVsFVF8nL, MTHwGDA8i59t + AOfzRywRzEXp, ehT0Px3KOsy9(SBY5QklkRnQv.nauYfLglTpcb[ehT0Px3KOsy9(chr(48) + chr(0b111111 + 0o60) + chr(0b110010), 27067 - 27059)])))
if NLcc3BCJnQka is not None and (AOfzRywRzEXp, sz4HVsFVF8nL) != NLcc3BCJnQka:
UkrMp_I0RDmo = x_dQG0ykrOi1(UkrMp_I0RDmo, NLcc3BCJnQka, interpolation=TLLWAvIaY1XC)
return UkrMp_I0RDmo
|
apache/incubator-mxnet
|
plugin/opencv/opencv.py
|
random_crop
|
def random_crop(src, size):
"""Randomly crop src with size. Upsample result if src is smaller than size"""
h, w, _ = src.shape
new_w, new_h = scale_down((w, h), size)
x0 = random.randint(0, w - new_w)
y0 = random.randint(0, h - new_h)
out = fixed_crop(src, x0, y0, new_w, new_h, size)
return out, (x0, y0, new_w, new_h)
|
python
|
def random_crop(src, size):
"""Randomly crop src with size. Upsample result if src is smaller than size"""
h, w, _ = src.shape
new_w, new_h = scale_down((w, h), size)
x0 = random.randint(0, w - new_w)
y0 = random.randint(0, h - new_h)
out = fixed_crop(src, x0, y0, new_w, new_h, size)
return out, (x0, y0, new_w, new_h)
|
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] |
Randomly crop src with size. Upsample result if src is smaller than size
|
[
"Randomly",
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/plugin/opencv/opencv.py#L114-L123
|
train
|
Randomly crop src with size. Upsample result with src is smaller than 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('\060' + chr(1895 - 1784) + chr(0b110111) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(2042 - 1931) + '\x31' + '\066' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(1452 - 1404) + chr(6940 - 6829) + chr(2350 - 2301) + '\067' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1043 - 995) + chr(661 - 550) + '\063' + '\x35' + chr(2076 - 2025), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(0b110100) + '\066', 23786 - 23778), ehT0Px3KOsy9('\060' + chr(7660 - 7549) + chr(167 - 116) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(936 - 882) + chr(0b10100 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(393 - 345) + '\x6f' + chr(50) + '\x33' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(1232 - 1184) + '\157' + '\062' + chr(862 - 810) + chr(2189 - 2141), 4838 - 4830), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b110110) + chr(0b110101), 62279 - 62271), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100110 + 0o13) + chr(0b110111) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11446 - 11335) + chr(50) + chr(0b110010) + chr(2218 - 2170), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(0b110100) + chr(53), 33974 - 33966), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + '\x35' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(12271 - 12160) + chr(0b110111) + '\062', 8), ehT0Px3KOsy9('\x30' + chr(817 - 706) + chr(55) + chr(0b110111), 42149 - 42141), ehT0Px3KOsy9('\060' + chr(10860 - 10749) + chr(50) + chr(54) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + chr(0b11000 + 0o32) + '\065' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(737 - 689) + '\x6f' + '\062' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011010 + 0o25) + '\061' + chr(54) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + '\067' + chr(2109 - 2058), 31545 - 31537), ehT0Px3KOsy9(chr(48) + chr(0b111100 + 0o63) + '\065' + chr(55), 35182 - 35174), ehT0Px3KOsy9('\x30' + '\157' + '\067' + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(260 - 211) + chr(0b101111 + 0o5) + chr(0b111 + 0o60), 0b1000), ehT0Px3KOsy9('\060' + chr(11943 - 11832) + '\x33' + chr(49) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1100011 + 0o14) + chr(0b110011) + '\x35' + '\065', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1100 + 0o47) + chr(54) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1110 + 0o141) + chr(0b11101 + 0o25) + chr(0b110101) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110001 + 0o76) + '\062' + chr(0b110101) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(54) + chr(480 - 428), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + '\x31' + chr(0b101001 + 0o10) + chr(54), 56567 - 56559), ehT0Px3KOsy9(chr(933 - 885) + chr(0b1011110 + 0o21) + '\061' + '\060' + chr(51), 42627 - 42619), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b11 + 0o62) + chr(512 - 464), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b110100 + 0o0) + '\x32', 6970 - 6962), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(49) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110110) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(6143 - 6032) + '\x31' + chr(905 - 856) + chr(2441 - 2387), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100000 + 0o21) + '\060' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(0b101000 + 0o14) + chr(0b1 + 0o62), 23187 - 23179)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1332 - 1284) + '\157' + chr(0b11110 + 0o27) + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x14'), '\x64' + chr(505 - 404) + chr(0b1100011) + chr(111) + chr(0b1110 + 0o126) + chr(0b1100101))('\165' + chr(116) + '\x66' + chr(45) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def aEYaNxwpPxgZ(SBY5QklkRnQv, NLcc3BCJnQka):
(sz4HVsFVF8nL, AOfzRywRzEXp, VNGQdHSFPrso) = SBY5QklkRnQv.nauYfLglTpcb
(QUHZpLOBId8l, EURzVsa4r7BU) = fBeIyxDtErxW((AOfzRywRzEXp, sz4HVsFVF8nL), NLcc3BCJnQka)
MTHwGDA8i59t = drxw09AdRdci.FXbppO8HYrND(ehT0Px3KOsy9('\060' + chr(111) + chr(1230 - 1182), 0o10), AOfzRywRzEXp - QUHZpLOBId8l)
TTufnT3oefIY = drxw09AdRdci.FXbppO8HYrND(ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100011 + 0o15), 8), sz4HVsFVF8nL - EURzVsa4r7BU)
UkrMp_I0RDmo = P2JjN8tglIvk(SBY5QklkRnQv, MTHwGDA8i59t, TTufnT3oefIY, QUHZpLOBId8l, EURzVsa4r7BU, NLcc3BCJnQka)
return (UkrMp_I0RDmo, (MTHwGDA8i59t, TTufnT3oefIY, QUHZpLOBId8l, EURzVsa4r7BU))
|
apache/incubator-mxnet
|
plugin/opencv/opencv.py
|
random_size_crop
|
def random_size_crop(src, size, min_area=0.25, ratio=(3.0/4.0, 4.0/3.0)):
"""Randomly crop src with size. Randomize area and aspect ratio"""
h, w, _ = src.shape
area = w*h
for _ in range(10):
new_area = random.uniform(min_area, 1.0) * area
new_ratio = random.uniform(*ratio)
new_w = int(new_area*new_ratio)
new_h = int(new_area/new_ratio)
if random.uniform(0., 1.) < 0.5:
new_w, new_h = new_h, new_w
if new_w > w or new_h > h:
continue
x0 = random.randint(0, w - new_w)
y0 = random.randint(0, h - new_h)
out = fixed_crop(src, x0, y0, new_w, new_h, size)
return out, (x0, y0, new_w, new_h)
return random_crop(src, size)
|
python
|
def random_size_crop(src, size, min_area=0.25, ratio=(3.0/4.0, 4.0/3.0)):
"""Randomly crop src with size. Randomize area and aspect ratio"""
h, w, _ = src.shape
area = w*h
for _ in range(10):
new_area = random.uniform(min_area, 1.0) * area
new_ratio = random.uniform(*ratio)
new_w = int(new_area*new_ratio)
new_h = int(new_area/new_ratio)
if random.uniform(0., 1.) < 0.5:
new_w, new_h = new_h, new_w
if new_w > w or new_h > h:
continue
x0 = random.randint(0, w - new_w)
y0 = random.randint(0, h - new_h)
out = fixed_crop(src, x0, y0, new_w, new_h, size)
return out, (x0, y0, new_w, new_h)
return random_crop(src, size)
|
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] |
Randomly crop src with size. Randomize area and aspect ratio
|
[
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/plugin/opencv/opencv.py#L131-L153
|
train
|
Randomly crop src with size.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1100001 + 0o16) + '\062' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1398 - 1287) + chr(0b110010 + 0o5) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + '\061' + chr(1087 - 1039) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x35' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(0b110001) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2180 - 2069) + '\063' + '\067' + chr(50), 0o10), ehT0Px3KOsy9(chr(642 - 594) + chr(8724 - 8613) + '\x31' + chr(48) + '\064', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(50) + chr(0b10001 + 0o42), 0o10), ehT0Px3KOsy9(chr(317 - 269) + chr(0b111 + 0o150) + chr(52) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(0b101000 + 0o11) + chr(1470 - 1419) + chr(2363 - 2312), ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b0 + 0o157) + chr(0b101000 + 0o15) + chr(0b110 + 0o56), 275 - 267), ehT0Px3KOsy9('\060' + '\157' + '\066' + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b110010 + 0o0) + '\x37', 8057 - 8049), ehT0Px3KOsy9('\x30' + '\157' + chr(2645 - 2592) + '\064', 8), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + chr(0b110001) + chr(2550 - 2496) + chr(927 - 874), ord("\x08")), ehT0Px3KOsy9(chr(780 - 732) + chr(368 - 257) + chr(50) + chr(0b110110) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x36' + chr(0b110001), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1319 - 1268) + chr(0b101010 + 0o7) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000110 + 0o51) + chr(0b10001 + 0o41) + '\064' + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + '\x36' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\067' + chr(0b100000 + 0o21), 40242 - 40234), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(0b0 + 0o63) + chr(0b10110 + 0o36), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100111 + 0o10) + chr(0b110011) + chr(2218 - 2163) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110111) + chr(1368 - 1318), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011111 + 0o20) + chr(0b100 + 0o56) + chr(1123 - 1075) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100000 + 0o23) + '\x35' + chr(0b10100 + 0o43), 0o10), ehT0Px3KOsy9(chr(71 - 23) + chr(0b1101100 + 0o3) + '\x32' + '\064' + chr(49), 0o10), ehT0Px3KOsy9(chr(2008 - 1960) + '\x6f' + chr(1038 - 989) + '\065' + chr(639 - 584), 0o10), ehT0Px3KOsy9(chr(1626 - 1578) + chr(4901 - 4790) + chr(49) + '\x37' + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(0b111101 + 0o62) + chr(932 - 883) + '\063' + chr(0b100110 + 0o21), 13689 - 13681), ehT0Px3KOsy9(chr(1417 - 1369) + '\x6f' + chr(763 - 713) + '\065' + chr(0b101 + 0o53), 28006 - 27998), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(0b11001 + 0o30) + chr(0b100010 + 0o23), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(721 - 669) + chr(2744 - 2690), 52019 - 52011), ehT0Px3KOsy9(chr(48) + '\157' + chr(367 - 318) + '\x32' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b0 + 0o157) + chr(231 - 176) + chr(1157 - 1108), 8), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(0b110011) + chr(0b110111) + '\063', 34299 - 34291), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1111 + 0o50) + chr(1729 - 1678), 0o10), ehT0Px3KOsy9('\x30' + chr(0b10001 + 0o136) + chr(0b110001) + chr(54) + chr(0b1101 + 0o46), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10011 + 0o37) + chr(48) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b110100) + '\x35', 60918 - 60910)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(160 - 107) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'='), '\144' + '\x65' + chr(6539 - 6440) + chr(0b110101 + 0o72) + '\x64' + '\145')(chr(0b1110101) + '\x74' + '\146' + '\x2d' + chr(1596 - 1540)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def FMEKjzZmI1Fy(SBY5QklkRnQv, NLcc3BCJnQka, fXI89hVR9ZkQ=0.25, pyiPBPsXZj35=(3.0 / 4.0, 4.0 / 3.0)):
(sz4HVsFVF8nL, AOfzRywRzEXp, VNGQdHSFPrso) = SBY5QklkRnQv.nauYfLglTpcb
WABECtcYvOwd = AOfzRywRzEXp * sz4HVsFVF8nL
for VNGQdHSFPrso in vQr8gNKaIaWE(ehT0Px3KOsy9(chr(2214 - 2166) + chr(0b111110 + 0o61) + chr(0b1000 + 0o51) + chr(0b110 + 0o54), 0o10)):
cWHgpaV1daOs = drxw09AdRdci.uniform(fXI89hVR9ZkQ, 1.0) * WABECtcYvOwd
qAjbzbSDSzmW = drxw09AdRdci.uniform(*pyiPBPsXZj35)
QUHZpLOBId8l = ehT0Px3KOsy9(cWHgpaV1daOs * qAjbzbSDSzmW)
EURzVsa4r7BU = ehT0Px3KOsy9(cWHgpaV1daOs / qAjbzbSDSzmW)
if xafqLlk3kkUe(drxw09AdRdci, xafqLlk3kkUe(SXOLrMavuUCe(b'fP-K#\x88)'), chr(0b1100100) + chr(0b1100101) + chr(0b11011 + 0o110) + chr(0b1011000 + 0o27) + chr(0b11111 + 0o105) + '\145')('\x75' + chr(0b1110100) + chr(4904 - 4802) + chr(0b101101) + chr(630 - 574)))(0.0, 1.0) < 0.5:
(QUHZpLOBId8l, EURzVsa4r7BU) = (EURzVsa4r7BU, QUHZpLOBId8l)
if QUHZpLOBId8l > AOfzRywRzEXp or EURzVsa4r7BU > sz4HVsFVF8nL:
continue
MTHwGDA8i59t = drxw09AdRdci.FXbppO8HYrND(ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110000), 0o10), AOfzRywRzEXp - QUHZpLOBId8l)
TTufnT3oefIY = drxw09AdRdci.FXbppO8HYrND(ehT0Px3KOsy9(chr(48) + chr(6556 - 6445) + chr(407 - 359), 8), sz4HVsFVF8nL - EURzVsa4r7BU)
UkrMp_I0RDmo = P2JjN8tglIvk(SBY5QklkRnQv, MTHwGDA8i59t, TTufnT3oefIY, QUHZpLOBId8l, EURzVsa4r7BU, NLcc3BCJnQka)
return (UkrMp_I0RDmo, (MTHwGDA8i59t, TTufnT3oefIY, QUHZpLOBId8l, EURzVsa4r7BU))
return aEYaNxwpPxgZ(SBY5QklkRnQv, NLcc3BCJnQka)
|
apache/incubator-mxnet
|
plugin/opencv/opencv.py
|
ImageListIter.next
|
def next(self):
"""Move iterator position forward"""
batch = mx.nd.zeros((self.batch_size, self.size[1], self.size[0], 3))
i = self.cur
for i in range(self.cur, min(len(self.list), self.cur+self.batch_size)):
str_img = open(self.root+self.list[i]+'.jpg').read()
img = imdecode(str_img, 1)
img, _ = random_crop(img, self.size)
batch[i - self.cur] = img
batch = mx.nd.transpose(batch, axes=(0, 3, 1, 2))
ret = mx.io.DataBatch(data=[batch],
label=[],
pad=self.batch_size-(i-self.cur),
index=None)
self.cur = i
return ret
|
python
|
def next(self):
"""Move iterator position forward"""
batch = mx.nd.zeros((self.batch_size, self.size[1], self.size[0], 3))
i = self.cur
for i in range(self.cur, min(len(self.list), self.cur+self.batch_size)):
str_img = open(self.root+self.list[i]+'.jpg').read()
img = imdecode(str_img, 1)
img, _ = random_crop(img, self.size)
batch[i - self.cur] = img
batch = mx.nd.transpose(batch, axes=(0, 3, 1, 2))
ret = mx.io.DataBatch(data=[batch],
label=[],
pad=self.batch_size-(i-self.cur),
index=None)
self.cur = i
return ret
|
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] |
Move iterator position forward
|
[
"Move",
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"forward"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/plugin/opencv/opencv.py#L173-L188
|
train
|
Move iterator position forward
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(627 - 577) + '\063' + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100110 + 0o16) + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11631 - 11520) + chr(370 - 319) + chr(51) + chr(685 - 637), 18779 - 18771), ehT0Px3KOsy9('\x30' + '\157' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11011 + 0o124) + chr(0b110001) + chr(0b1011 + 0o46) + chr(0b100100 + 0o22), 19385 - 19377), ehT0Px3KOsy9('\060' + '\157' + chr(0b11001 + 0o32) + chr(1999 - 1949) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(1724 - 1671) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(341 - 293) + chr(0b1101111) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(0b110011 + 0o74) + chr(52) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(1010 - 959) + chr(0b110011) + chr(0b110001 + 0o3), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100010 + 0o15) + chr(0b110011) + '\064' + '\066', 58129 - 58121), ehT0Px3KOsy9('\060' + chr(6629 - 6518) + '\062' + chr(1306 - 1258) + chr(2255 - 2206), 17942 - 17934), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110100) + '\x37', 0b1000), ehT0Px3KOsy9(chr(282 - 234) + chr(0b1000101 + 0o52) + '\x31', 21182 - 21174), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + '\x31', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10000 + 0o42) + chr(0b110000) + '\x35', 44710 - 44702), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(50) + chr(0b110011) + chr(0b10001 + 0o43), 0b1000), ehT0Px3KOsy9(chr(1831 - 1783) + chr(0b1010010 + 0o35) + chr(0b11000 + 0o33) + chr(0b1001 + 0o50) + chr(0b11010 + 0o31), 27039 - 27031), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(2255 - 2205) + chr(50) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(0b10111 + 0o31) + chr(337 - 286), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100110 + 0o14) + '\062' + chr(0b101100 + 0o7), 61718 - 61710), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(156 - 106) + '\x36' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\064' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2015 - 1960) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(2478 - 2424) + chr(233 - 178), 3857 - 3849), ehT0Px3KOsy9(chr(1474 - 1426) + '\157' + chr(0b11111 + 0o23) + chr(1267 - 1216), 33915 - 33907), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(0b110001) + '\065' + chr(52), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110110) + chr(0b100110 + 0o20), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + chr(49) + chr(0b110100) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + chr(977 - 927) + chr(946 - 895) + chr(0b100010 + 0o24), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(834 - 783) + chr(0b110011) + '\x36', 28358 - 28350), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\x37' + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x34' + chr(190 - 139), 12362 - 12354), ehT0Px3KOsy9(chr(1817 - 1769) + chr(0b1101111) + chr(1793 - 1740), 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + '\061' + chr(55) + chr(2055 - 2005), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b101011 + 0o104) + chr(49) + chr(0b10100 + 0o35) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(5869 - 5758) + chr(50) + chr(0b110111) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(55) + chr(0b11101 + 0o32), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010011 + 0o34) + chr(0b110011) + '\x30', 2846 - 2838), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b110110) + '\x30', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(53) + chr(758 - 710), 55825 - 55817)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7'), '\x64' + chr(101) + '\x63' + '\x6f' + chr(7700 - 7600) + chr(0b1100101))(chr(0b1100110 + 0o17) + '\x74' + '\146' + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def nSwwHEeM4cxI(oVre8I6UXc3b):
dNwAahu8tvoY = CIVheOt0RKQX.nd.zeros((oVre8I6UXc3b.ix9dZyeAmUxY, oVre8I6UXc3b.NLcc3BCJnQka[ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31', 8)], oVre8I6UXc3b.NLcc3BCJnQka[ehT0Px3KOsy9('\060' + chr(0b1101100 + 0o3) + chr(48), 8)], ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(758 - 647) + chr(0b110011), 31787 - 31779)))
WVxHKyX45z_L = oVre8I6UXc3b.wL6S4kgnTowq
for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xeem\xeeQz\xbe\x0bnv\xb3\x91\xf0'), chr(6512 - 6412) + '\x65' + chr(99) + chr(0b110010 + 0o75) + '\144' + '\145')(chr(0b1011001 + 0o34) + '\164' + chr(0b1100110) + '\055' + '\x38')), Dx22bkKPdt5d(c2A0yzQpDQB3(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5H\xabv'), chr(0b1100100) + chr(518 - 417) + '\143' + chr(0b1010010 + 0o35) + '\x64' + chr(0b111101 + 0o50))(chr(0b11011 + 0o132) + chr(0b111000 + 0o74) + chr(102) + '\055' + chr(2324 - 2268)))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xeem\xeeQz\xbe\x0bnv\xb3\x91\xf0'), '\x64' + chr(9829 - 9728) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(101))(chr(1543 - 1426) + chr(0b110001 + 0o103) + chr(3008 - 2906) + chr(45) + '\070')) + xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0Y\xe1f\x14\xac\tAO\x89\x9e\xd8'), chr(0b1100001 + 0o3) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(100) + '\145')(chr(0b10100 + 0o141) + chr(5852 - 5736) + '\x66' + chr(45) + chr(0b111000))))):
Di4dGC1esoWD = _fwkIVCGgtAN(oVre8I6UXc3b.root + oVre8I6UXc3b.list[WVxHKyX45z_L] + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7K\xa8e'), '\144' + chr(0b1100101) + chr(2385 - 2286) + chr(111) + chr(0b111 + 0o135) + chr(0b1100011 + 0o2))(chr(630 - 513) + '\164' + chr(7582 - 7480) + '\055' + chr(56))).U6MiWrhuCi2Y()
s63jeLEbd8fs = u609nKcy9gUj(Di4dGC1esoWD, ehT0Px3KOsy9('\060' + chr(7466 - 7355) + chr(210 - 161), 8))
(s63jeLEbd8fs, VNGQdHSFPrso) = aEYaNxwpPxgZ(s63jeLEbd8fs, oVre8I6UXc3b.NLcc3BCJnQka)
dNwAahu8tvoY[WVxHKyX45z_L - oVre8I6UXc3b.wL6S4kgnTowq] = s63jeLEbd8fs
dNwAahu8tvoY = CIVheOt0RKQX.nd.transpose(dNwAahu8tvoY, axes=(ehT0Px3KOsy9(chr(647 - 599) + '\x6f' + '\x30', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(1879 - 1828), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101110 + 0o3), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32', 8)))
VHn4CV4Ymrei = CIVheOt0RKQX.io.DataBatch(data=[dNwAahu8tvoY], label=[], pad=oVre8I6UXc3b.ix9dZyeAmUxY - (WVxHKyX45z_L - oVre8I6UXc3b.wL6S4kgnTowq), index=None)
oVre8I6UXc3b.wL6S4kgnTowq = WVxHKyX45z_L
return VHn4CV4Ymrei
|
apache/incubator-mxnet
|
example/speech_recognition/stt_metric.py
|
check_label_shapes
|
def check_label_shapes(labels, preds, shape=0):
"""Check to see if the two arrays are the same size."""
if shape == 0:
label_shape, pred_shape = len(labels), len(preds)
else:
label_shape, pred_shape = labels.shape, preds.shape
if label_shape != pred_shape:
raise ValueError("Shape of labels {} does not match shape of "
"predictions {}".format(label_shape, pred_shape))
|
python
|
def check_label_shapes(labels, preds, shape=0):
"""Check to see if the two arrays are the same size."""
if shape == 0:
label_shape, pred_shape = len(labels), len(preds)
else:
label_shape, pred_shape = labels.shape, preds.shape
if label_shape != pred_shape:
raise ValueError("Shape of labels {} does not match shape of "
"predictions {}".format(label_shape, pred_shape))
|
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Check to see if the two arrays are the same size.
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/speech_recognition/stt_metric.py#L25-L35
|
train
|
Check to see if the two arrays are the same 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(0b110000) + '\157' + chr(0b1100 + 0o47) + '\x35' + chr(2590 - 2535), 0o10), ehT0Px3KOsy9(chr(833 - 785) + '\x6f' + chr(0b110011) + chr(49) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + '\063' + chr(0b110010) + chr(55), 0o10), ehT0Px3KOsy9(chr(1238 - 1190) + '\x6f' + chr(1815 - 1765) + chr(1206 - 1156) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(1896 - 1785) + chr(50) + chr(48) + chr(2349 - 2299), 0b1000), ehT0Px3KOsy9(chr(744 - 696) + chr(0b10100 + 0o133) + chr(49) + '\x33' + '\064', 7113 - 7105), ehT0Px3KOsy9('\x30' + chr(0b101011 + 0o104) + chr(690 - 640) + '\064' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + chr(0b10111 + 0o32) + '\062' + chr(0b100100 + 0o21), 25898 - 25890), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + chr(53), 53973 - 53965), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100100 + 0o16) + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(10758 - 10647) + '\x33' + '\x35' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\066' + chr(52), 0b1000), ehT0Px3KOsy9(chr(1509 - 1461) + '\x6f' + '\067' + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101000 + 0o13) + chr(0b110110) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + '\062' + '\x37' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(48) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10111 + 0o32) + '\x34', 63432 - 63424), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + chr(0b1 + 0o64) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(0b110011 + 0o0) + '\066' + chr(0b11011 + 0o33), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100100 + 0o113) + chr(1014 - 965) + chr(53) + '\066', 35948 - 35940), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + chr(0b110011) + '\x36' + chr(0b111 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(460 - 411) + chr(50) + chr(55), 52772 - 52764), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b110111) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10001 + 0o41) + '\062' + chr(1149 - 1097), 0o10), ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + chr(1592 - 1543) + chr(0b101001 + 0o12) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b101001 + 0o13) + '\063', 46391 - 46383), ehT0Px3KOsy9(chr(48) + chr(111) + '\066', 47910 - 47902), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1011 + 0o47) + chr(0b1000 + 0o55) + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(11440 - 11329) + '\x33' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\062' + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110010 + 0o75) + chr(50) + '\065' + '\061', 8), ehT0Px3KOsy9(chr(48) + chr(4864 - 4753) + '\066' + chr(1828 - 1776), 8), ehT0Px3KOsy9('\060' + '\157' + '\063' + '\x31' + chr(53), 47900 - 47892), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\064' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111 + 0o0) + chr(0b11001 + 0o32) + '\062' + chr(1739 - 1690), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + '\061' + chr(49) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(55) + chr(51), 2948 - 2940), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(361 - 311) + '\x30' + '\x32', 8), ehT0Px3KOsy9('\x30' + chr(0b111000 + 0o67) + '\x33' + chr(53) + chr(49), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(463 - 415) + chr(111) + chr(2470 - 2417) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1'), chr(3139 - 3039) + '\145' + chr(0b1100011) + '\157' + chr(0b111000 + 0o54) + '\145')('\x75' + '\x74' + chr(4310 - 4208) + chr(45) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def OdfmKwSBnlWd(uXMK81tmdpTM, rFir39ju85_Z, nauYfLglTpcb=ehT0Px3KOsy9('\x30' + chr(0b101010 + 0o105) + '\x30', ord("\x08"))):
if nauYfLglTpcb == ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110000), 8):
(U6Uq0p0KN__A, jHepHKfsO0gS) = (c2A0yzQpDQB3(uXMK81tmdpTM), c2A0yzQpDQB3(rFir39ju85_Z))
else:
(U6Uq0p0KN__A, jHepHKfsO0gS) = (uXMK81tmdpTM.nauYfLglTpcb, rFir39ju85_Z.nauYfLglTpcb)
if U6Uq0p0KN__A != jHepHKfsO0gS:
raise q1QCh3W88sgk(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\xa1\xb6\xe3\xe7|\xc93%y\x8bVX\x9f\xc9\xa6wP\xd6\n\x9f2\x8d\xb46`\x17&\xc4z\xa6\xca\\\xed\x13\xb9.\x0b\xe7\xc9\x80\xaf\xf7\xe3\xf09\xc2<fa\x83[S\x80\x9a\xfdq'), chr(0b1000 + 0o134) + chr(0b111111 + 0o46) + chr(0b1100011 + 0o0) + chr(0b1011101 + 0o22) + chr(6641 - 6541) + chr(5759 - 5658))(chr(117) + chr(0b100101 + 0o117) + '\146' + chr(0b100010 + 0o13) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\xfd\xa5\xfc\xca=\xf5fUe\x8f^'), chr(0b1100010 + 0o2) + '\x65' + chr(0b111010 + 0o51) + chr(0b11110 + 0o121) + chr(0b1100100) + '\145')(chr(10373 - 10256) + chr(6514 - 6398) + '\x66' + chr(45) + chr(0b111000)))(U6Uq0p0KN__A, jHepHKfsO0gS))
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/import_to_gluon.py
|
import_to_gluon
|
def import_to_gluon(model_file, ctx):
"""
Imports the ONNX model files, passed as a parameter, into Gluon SymbolBlock object.
Parameters
----------
model_file : str
ONNX model file name
ctx : Context or list of Context
Loads the model into one or many context(s).
Returns
-------
sym_block : :class:`~mxnet.gluon.SymbolBlock`
A SymbolBlock object representing the given model file.
Notes
-----
This method is available when you ``import mxnet.contrib.onnx``
"""
graph = GraphProto()
try:
import onnx
except ImportError:
raise ImportError("Onnx and protobuf need to be installed. Instructions to"
+ " install - https://github.com/onnx/onnx#installation")
model_proto = onnx.load_model(model_file)
net = graph.graph_to_gluon(model_proto.graph, ctx)
return net
|
python
|
def import_to_gluon(model_file, ctx):
"""
Imports the ONNX model files, passed as a parameter, into Gluon SymbolBlock object.
Parameters
----------
model_file : str
ONNX model file name
ctx : Context or list of Context
Loads the model into one or many context(s).
Returns
-------
sym_block : :class:`~mxnet.gluon.SymbolBlock`
A SymbolBlock object representing the given model file.
Notes
-----
This method is available when you ``import mxnet.contrib.onnx``
"""
graph = GraphProto()
try:
import onnx
except ImportError:
raise ImportError("Onnx and protobuf need to be installed. Instructions to"
+ " install - https://github.com/onnx/onnx#installation")
model_proto = onnx.load_model(model_file)
net = graph.graph_to_gluon(model_proto.graph, ctx)
return net
|
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"+",
"\" install - https://github.com/onnx/onnx#installation\"",
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"graph_to_gluon",
"(",
"model_proto",
".",
"graph",
",",
"ctx",
")",
"return",
"net"
] |
Imports the ONNX model files, passed as a parameter, into Gluon SymbolBlock object.
Parameters
----------
model_file : str
ONNX model file name
ctx : Context or list of Context
Loads the model into one or many context(s).
Returns
-------
sym_block : :class:`~mxnet.gluon.SymbolBlock`
A SymbolBlock object representing the given model file.
Notes
-----
This method is available when you ``import mxnet.contrib.onnx``
|
[
"Imports",
"the",
"ONNX",
"model",
"files",
"passed",
"as",
"a",
"parameter",
"into",
"Gluon",
"SymbolBlock",
"object",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/import_to_gluon.py#L24-L53
|
train
|
Imports the ONNX model file and loads it into Gluon SymbolBlock 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(576 - 528) + chr(4501 - 4390) + chr(54) + chr(53), 0b1000), ehT0Px3KOsy9(chr(167 - 119) + '\157' + chr(0b1101 + 0o46) + '\x35' + chr(0b110100), 43141 - 43133), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\065' + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(0b10 + 0o62) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001101 + 0o42) + chr(0b110011) + '\065' + '\x34', 8), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + '\x35' + chr(140 - 88), ord("\x08")), ehT0Px3KOsy9(chr(1145 - 1097) + chr(111) + chr(0b110011) + '\064' + chr(1673 - 1624), 29831 - 29823), ehT0Px3KOsy9(chr(48) + chr(7361 - 7250) + chr(49) + '\x34' + '\x37', 0b1000), ehT0Px3KOsy9(chr(1054 - 1006) + '\157' + chr(0b110010) + chr(0b110011) + '\x36', 2057 - 2049), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(52) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(10191 - 10080) + chr(50) + chr(0b110010) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(48) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + '\x33' + chr(49) + chr(2083 - 2031), 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + '\065', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110 + 0o54) + '\x32' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(2158 - 2110) + '\157' + chr(0b10011 + 0o42), 8), ehT0Px3KOsy9(chr(0b110000) + chr(4656 - 4545) + chr(0b0 + 0o61) + chr(0b100010 + 0o16) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b111010 + 0o65) + chr(0b10100 + 0o36) + chr(0b100101 + 0o22) + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + '\065' + chr(1203 - 1148), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\x31' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1011101 + 0o22) + '\061' + chr(1273 - 1220) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + '\x31' + '\x36' + chr(0b101000 + 0o17), 0o10), ehT0Px3KOsy9('\x30' + chr(0b10011 + 0o134) + '\x31' + chr(49) + '\x35', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(878 - 826) + '\060', 48259 - 48251), ehT0Px3KOsy9(chr(2272 - 2224) + chr(111) + chr(0b1000 + 0o51) + chr(0b110010) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + '\x33' + '\060' + chr(1460 - 1407), 8042 - 8034), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(0b1011 + 0o45) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001000 + 0o47) + chr(49) + chr(0b110110) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b11101 + 0o24), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5779 - 5668) + chr(51) + chr(0b110110) + chr(0b110011), 62662 - 62654), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010111 + 0o30) + chr(0b11111 + 0o22) + chr(0b110101) + chr(0b110011), 47485 - 47477), ehT0Px3KOsy9(chr(1488 - 1440) + chr(6174 - 6063) + chr(49) + chr(294 - 240) + chr(0b10011 + 0o43), 0b1000), ehT0Px3KOsy9('\060' + chr(0b11000 + 0o127) + '\x33' + chr(330 - 280) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + chr(0b100010 + 0o17) + '\062' + chr(0b101 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(145 - 95) + chr(1251 - 1199), 8), ehT0Px3KOsy9('\060' + chr(0b1101 + 0o142) + chr(50) + chr(0b110011) + chr(0b1010 + 0o47), 32385 - 32377), ehT0Px3KOsy9('\x30' + chr(0b100010 + 0o115) + chr(449 - 399) + chr(1307 - 1256) + chr(1035 - 987), 11079 - 11071), ehT0Px3KOsy9('\x30' + chr(111) + chr(1248 - 1199) + chr(0b11110 + 0o27) + '\063', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b110110) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1186 - 1138) + chr(12176 - 12065) + chr(0b110001 + 0o3) + chr(0b110001), 53349 - 53341)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b10011 + 0o134) + chr(53) + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b'), '\x64' + '\x65' + '\x63' + '\x6f' + chr(1585 - 1485) + chr(101))('\165' + chr(2838 - 2722) + '\x66' + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def aP40_XaavQsG(ecLqdihalq95, oM3jLo753XfX):
H9yw8tZKkKME = nec8F8AqDfUJ()
try:
(xUo9n6RYoMyH,) = (jFWsnpHpAUWz(xafqLlk3kkUe(SXOLrMavuUCe(b'Z\x82\xc2\xdf'), chr(5479 - 5379) + chr(0b1100101) + chr(99) + '\157' + chr(100) + chr(674 - 573))(chr(117) + chr(10240 - 10124) + chr(102) + chr(0b10 + 0o53) + '\070')),)
except yROw0HWBk0Qc:
raise yROw0HWBk0Qc(xafqLlk3kkUe(SXOLrMavuUCe(b'z\x82\xc2\xdf\xccM\x8f\x03\xbe\xd6\xe4\xef\xb8j\xf7p \x9f\x81-\n\x13m\x94;\xe5\xe1\x119\x9a\x05\x05\xa638\xf5\xfd\x0f\x9b\x01|\x82\xdf\xd3\x9eY\x82\x13\xf7\xc9\xf8\xf3\xecq\xfa'), chr(0b1100100) + chr(0b1100101) + '\x63' + '\x6f' + '\144' + chr(101))(chr(117) + chr(116) + chr(102) + '\x2d' + chr(0b111000)) + xafqLlk3kkUe(SXOLrMavuUCe(b'\x15\x85\xc2\xd4\x98M\x8d\x0b\xbe\x8b\xb6\xe8\xb8q\xe5v|\x90\xc0/\x06\x03%\x956\xeb\xe0\x1bt\xdc\x04\x18\xbc*{\xf6\xf6\x05\xcd\x02\\\x82\xdf\xd3\x8d@\x8d\x06\xea\xcf\xf9\xee'), '\x64' + chr(0b1011001 + 0o14) + '\143' + chr(0b1011000 + 0o27) + chr(0b111100 + 0o50) + chr(101))('\x75' + chr(1809 - 1693) + '\146' + chr(0b11101 + 0o20) + chr(2360 - 2304)))
B2EA38FfMK5z = xUo9n6RYoMyH.load_model(ecLqdihalq95)
DyzboKL9cczb = H9yw8tZKkKME.graph_to_gluon(B2EA38FfMK5z.graph, oM3jLo753XfX)
return DyzboKL9cczb
|
apache/incubator-mxnet
|
example/gluon/image_classification.py
|
get_model
|
def get_model(model, ctx, opt):
"""Model initialization."""
kwargs = {'ctx': ctx, 'pretrained': opt.use_pretrained, 'classes': classes}
if model.startswith('resnet'):
kwargs['thumbnail'] = opt.use_thumbnail
elif model.startswith('vgg'):
kwargs['batch_norm'] = opt.batch_norm
net = models.get_model(model, **kwargs)
if opt.resume:
net.load_parameters(opt.resume)
elif not opt.use_pretrained:
if model in ['alexnet']:
net.initialize(mx.init.Normal())
else:
net.initialize(mx.init.Xavier(magnitude=2))
net.cast(opt.dtype)
return net
|
python
|
def get_model(model, ctx, opt):
"""Model initialization."""
kwargs = {'ctx': ctx, 'pretrained': opt.use_pretrained, 'classes': classes}
if model.startswith('resnet'):
kwargs['thumbnail'] = opt.use_thumbnail
elif model.startswith('vgg'):
kwargs['batch_norm'] = opt.batch_norm
net = models.get_model(model, **kwargs)
if opt.resume:
net.load_parameters(opt.resume)
elif not opt.use_pretrained:
if model in ['alexnet']:
net.initialize(mx.init.Normal())
else:
net.initialize(mx.init.Xavier(magnitude=2))
net.cast(opt.dtype)
return net
|
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] |
Model initialization.
|
[
"Model",
"initialization",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/image_classification.py#L117-L134
|
train
|
Get the model.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1100010 + 0o15) + chr(1538 - 1488) + '\062' + chr(0b1110 + 0o47), 36173 - 36165), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11101 + 0o26) + chr(1684 - 1630) + chr(0b110000), 20377 - 20369), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\x34' + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(49) + chr(52), 0b1000), ehT0Px3KOsy9(chr(435 - 387) + '\x6f' + chr(1837 - 1782) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b10101 + 0o132) + chr(2020 - 1971) + '\x37' + chr(0b11111 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(2245 - 2197) + chr(0b1101111) + '\x31' + '\064' + '\067', 13326 - 13318), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\x33' + chr(53), 21184 - 21176), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + '\x31' + chr(2291 - 2241), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1152 - 1101) + chr(2164 - 2116) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(830 - 777) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(2161 - 2113) + '\x6f' + '\x32' + chr(49) + chr(66 - 17), ord("\x08")), ehT0Px3KOsy9(chr(1195 - 1147) + '\x6f' + '\062' + '\x37' + chr(0b11101 + 0o31), 27504 - 27496), ehT0Px3KOsy9(chr(48) + chr(3206 - 3095) + chr(0b1110 + 0o45) + '\x31' + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000001 + 0o56) + chr(50) + '\063' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(49) + chr(1943 - 1895) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b100101 + 0o112) + chr(49) + chr(48) + chr(0b110000 + 0o6), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\067', 0b1000), ehT0Px3KOsy9(chr(828 - 780) + chr(0b1101111) + chr(181 - 132) + chr(0b110001) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(848 - 798) + '\x34' + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(9416 - 9305) + chr(0b110010) + chr(996 - 943) + chr(1670 - 1620), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + '\063' + chr(52), 14495 - 14487), ehT0Px3KOsy9(chr(200 - 152) + chr(111) + chr(0b1100 + 0o46) + '\x36' + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3594 - 3483) + chr(0b110001) + '\063' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1550 - 1502) + '\x6f' + chr(1368 - 1319) + chr(0b11000 + 0o31) + chr(0b110000), 25350 - 25342), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + '\x33' + chr(0b110011) + '\x34', 8), ehT0Px3KOsy9(chr(1364 - 1316) + chr(0b111001 + 0o66) + chr(0b1001 + 0o52) + chr(0b110011) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(0b10 + 0o60), 0o10), ehT0Px3KOsy9('\060' + chr(8389 - 8278) + '\067' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + '\x37' + chr(2144 - 2089), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b110000) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(6986 - 6875) + '\066' + '\065', 15592 - 15584), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\064', 0o10), ehT0Px3KOsy9(chr(941 - 893) + chr(9328 - 9217) + chr(0b10010 + 0o37) + '\x37' + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(54) + chr(373 - 318), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b1110 + 0o45) + '\063', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(0b110000) + chr(0b101100 + 0o5), 8), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(0b1100 + 0o47) + chr(2221 - 2169) + chr(0b10110 + 0o32), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3869 - 3758) + chr(0b100101 + 0o14) + '\067' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + chr(1728 - 1675) + chr(0b110101), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(12142 - 12031) + chr(2788 - 2735) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb'), '\x64' + chr(0b1100101) + '\143' + chr(3983 - 3872) + chr(0b1011100 + 0o10) + chr(0b1100101))(chr(0b1110101) + '\x74' + '\146' + chr(825 - 780) + chr(602 - 546)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def NBxO0PPLq2w9(FK0vqzZ5gPN6, oM3jLo753XfX, PFDxXM_vbSsA):
M8EIoTs2GJXE = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\x84\x99'), chr(0b10 + 0o142) + chr(8602 - 8501) + '\143' + chr(0b1101111) + chr(0b1001 + 0o133) + '\x65')(chr(3342 - 3225) + chr(11181 - 11065) + '\146' + chr(45) + '\070'): oM3jLo753XfX, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\x82\x848I\x18\x0e\xf3\xef\xa0'), chr(9845 - 9745) + chr(0b11000 + 0o115) + chr(0b1000001 + 0o42) + chr(7533 - 7422) + chr(0b1100100) + chr(0b1000100 + 0o41))(chr(117) + '\164' + chr(0b1100110) + chr(0b11010 + 0o23) + chr(0b100000 + 0o30)): PFDxXM_vbSsA.use_pretrained, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\x9c\x80?H\x1c\x14'), chr(0b1100100) + chr(627 - 526) + chr(0b1100011) + chr(10800 - 10689) + chr(0b1001110 + 0o26) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(0b111000)): anO3bg2_hMSE}
if xafqLlk3kkUe(FK0vqzZ5gPN6, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\x84\x80>O\n\x10\xf4\xfe\xac'), chr(0b110111 + 0o55) + chr(101) + chr(99) + chr(0b1010111 + 0o30) + chr(8316 - 8216) + '\145')(chr(117) + chr(116) + chr(102) + chr(0b10 + 0o53) + chr(0b11110 + 0o32)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\x95\x92"^\r'), chr(100) + chr(0b1100101) + chr(2310 - 2211) + chr(0b1000 + 0o147) + chr(226 - 126) + chr(3132 - 3031))(chr(117) + chr(0b11000 + 0o134) + chr(0b1100110) + '\055' + '\070')):
M8EIoTs2GJXE[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\x98\x94!Y\x17\x06\xf4\xe6'), '\144' + chr(3404 - 3303) + chr(99) + chr(0b1101111) + chr(100) + chr(6668 - 6567))('\x75' + chr(12701 - 12585) + chr(7505 - 7403) + '\x2d' + '\x38')] = PFDxXM_vbSsA.use_thumbnail
elif xafqLlk3kkUe(FK0vqzZ5gPN6, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\x84\x80>O\n\x10\xf4\xfe\xac'), chr(0b1100100) + chr(6375 - 6274) + chr(0b100001 + 0o102) + chr(6957 - 6846) + chr(9547 - 9447) + '\145')(chr(0b1101101 + 0o10) + chr(9975 - 9859) + chr(0b1011 + 0o133) + chr(483 - 438) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\x97\x86'), '\144' + chr(101) + chr(0b101001 + 0o72) + chr(111) + '\x64' + chr(4817 - 4716))(chr(0b101010 + 0o113) + chr(4356 - 4240) + chr(102) + '\055' + '\070')):
M8EIoTs2GJXE[xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x91\x95/S&\t\xf2\xf8\xa9'), '\x64' + chr(0b10100 + 0o121) + chr(4195 - 4096) + '\x6f' + chr(100) + '\x65')('\x75' + chr(116) + '\146' + chr(1569 - 1524) + chr(56))] = PFDxXM_vbSsA.batch_norm
DyzboKL9cczb = wmo1XKbHVO0m.get_model(FK0vqzZ5gPN6, **M8EIoTs2GJXE)
if xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\x95\x929V\x1c'), chr(0b1010 + 0o132) + '\145' + '\143' + '\157' + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(0b1000101 + 0o41) + '\x2d' + chr(56))):
xafqLlk3kkUe(DyzboKL9cczb, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9\x9f\x80(d\t\x06\xef\xeb\xa9\x0c\xfd\xdb\xba\xe8'), chr(100) + chr(916 - 815) + '\143' + chr(0b1101111) + '\x64' + chr(8813 - 8712))('\165' + chr(896 - 780) + chr(0b1100110) + '\055' + chr(0b110010 + 0o6)))(xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\x95\x929V\x1c'), chr(100) + '\145' + chr(0b1100011) + chr(0b1011 + 0o144) + chr(100) + '\145')(chr(0b110 + 0o157) + chr(0b1110100) + '\x66' + chr(745 - 700) + chr(56))))
elif not xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\x83\x84\x13K\x0b\x02\xe9\xf8\xa5\x00\xe7\xdb\xac'), chr(0b111011 + 0o51) + chr(0b1010001 + 0o24) + '\143' + '\157' + chr(1769 - 1669) + '\145')(chr(117) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(705 - 649))):
if FK0vqzZ5gPN6 in [xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\x9c\x844U\x1c\x13'), chr(0b1100100) + chr(0b1100101) + chr(9119 - 9020) + '\157' + chr(100) + chr(6360 - 6259))(chr(0b11 + 0o162) + chr(0b1100 + 0o150) + chr(0b1100110) + chr(0b101101) + chr(165 - 109))]:
xafqLlk3kkUe(DyzboKL9cczb, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc\x9e\x888R\x18\x0b\xf4\xf0\xa1'), '\144' + '\145' + chr(99) + '\157' + '\x64' + chr(3926 - 3825))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\055' + '\070'))(xafqLlk3kkUe(CIVheOt0RKQX.init, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb\x9f\x93!Z\x15'), '\144' + chr(0b1010 + 0o133) + chr(0b100010 + 0o101) + chr(111) + chr(0b1100100) + '\145')('\165' + chr(0b101011 + 0o111) + chr(0b1100 + 0o132) + chr(0b101101) + chr(0b111000)))())
else:
xafqLlk3kkUe(DyzboKL9cczb, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc\x9e\x888R\x18\x0b\xf4\xf0\xa1'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(0b11011 + 0o111) + chr(101))(chr(0b1110101) + '\164' + chr(2225 - 2123) + chr(0b101101) + chr(2268 - 2212)))(xafqLlk3kkUe(CIVheOt0RKQX.init, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\x91\x97%^\x0b'), chr(0b1100100) + chr(101) + chr(99) + chr(0b1101111) + chr(100) + chr(0b1001101 + 0o30))(chr(0b1110101) + chr(0b11000 + 0o134) + chr(0b101110 + 0o70) + chr(45) + '\x38'))(magnitude=ehT0Px3KOsy9('\060' + '\157' + chr(0b110010), ord("\x08"))))
xafqLlk3kkUe(DyzboKL9cczb, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\x91\x928'), chr(0b1100100) + chr(9180 - 9079) + '\143' + '\157' + chr(0b1100100) + chr(101))(chr(0b110 + 0o157) + '\x74' + chr(0b1100110) + chr(0b10 + 0o53) + '\x38'))(xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xa3\xb7ur2\t\xf8\xe7\x8c^\xc2'), chr(0b101110 + 0o66) + chr(101) + chr(99) + chr(0b1010101 + 0o32) + chr(0b1100100) + chr(0b1011011 + 0o12))('\165' + chr(0b111111 + 0o65) + chr(1222 - 1120) + '\x2d' + chr(0b10000 + 0o50))))
return DyzboKL9cczb
|
apache/incubator-mxnet
|
example/gluon/image_classification.py
|
get_data_iters
|
def get_data_iters(dataset, batch_size, opt):
"""get dataset iterators"""
if dataset == 'mnist':
train_data, val_data = get_mnist_iterator(batch_size, (1, 28, 28),
num_parts=kv.num_workers, part_index=kv.rank)
elif dataset == 'cifar10':
train_data, val_data = get_cifar10_iterator(batch_size, (3, 32, 32),
num_parts=kv.num_workers, part_index=kv.rank)
elif dataset == 'imagenet':
shape_dim = 299 if model_name == 'inceptionv3' else 224
if not opt.data_dir:
raise ValueError('Dir containing raw images in train/val is required for imagenet.'
'Please specify "--data-dir"')
train_data, val_data = get_imagenet_iterator(opt.data_dir, batch_size,
opt.num_workers, shape_dim, opt.dtype)
elif dataset == 'caltech101':
train_data, val_data = get_caltech101_iterator(batch_size, opt.num_workers, opt.dtype)
elif dataset == 'dummy':
shape_dim = 299 if model_name == 'inceptionv3' else 224
train_data, val_data = dummy_iterator(batch_size, (3, shape_dim, shape_dim))
return train_data, val_data
|
python
|
def get_data_iters(dataset, batch_size, opt):
"""get dataset iterators"""
if dataset == 'mnist':
train_data, val_data = get_mnist_iterator(batch_size, (1, 28, 28),
num_parts=kv.num_workers, part_index=kv.rank)
elif dataset == 'cifar10':
train_data, val_data = get_cifar10_iterator(batch_size, (3, 32, 32),
num_parts=kv.num_workers, part_index=kv.rank)
elif dataset == 'imagenet':
shape_dim = 299 if model_name == 'inceptionv3' else 224
if not opt.data_dir:
raise ValueError('Dir containing raw images in train/val is required for imagenet.'
'Please specify "--data-dir"')
train_data, val_data = get_imagenet_iterator(opt.data_dir, batch_size,
opt.num_workers, shape_dim, opt.dtype)
elif dataset == 'caltech101':
train_data, val_data = get_caltech101_iterator(batch_size, opt.num_workers, opt.dtype)
elif dataset == 'dummy':
shape_dim = 299 if model_name == 'inceptionv3' else 224
train_data, val_data = dummy_iterator(batch_size, (3, shape_dim, shape_dim))
return train_data, val_data
|
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"train_data",
",",
"val_data"
] |
get dataset iterators
|
[
"get",
"dataset",
"iterators"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/image_classification.py#L138-L160
|
train
|
get dataset iterators
|
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) + '\x33' + chr(54) + chr(0b11000 + 0o35), 0o10), ehT0Px3KOsy9(chr(1874 - 1826) + '\157' + chr(956 - 905) + '\x30' + chr(48), 23693 - 23685), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11100 + 0o27) + chr(0b110101) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1890 - 1842) + chr(111) + chr(1060 - 1009) + chr(0b110000) + '\x36', 61545 - 61537), ehT0Px3KOsy9(chr(959 - 911) + chr(111) + chr(0b110011 + 0o0) + chr(2474 - 2419) + '\065', 14808 - 14800), ehT0Px3KOsy9('\x30' + chr(6994 - 6883) + chr(51) + chr(0b110000) + '\061', 0b1000), ehT0Px3KOsy9(chr(111 - 63) + '\157' + chr(0b110010) + chr(0b11100 + 0o32) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110100) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + '\062' + '\061' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(2301 - 2190) + chr(0b110010) + '\x31' + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(1510 - 1459) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(3541 - 3430) + chr(51) + chr(0b10000 + 0o42) + chr(324 - 270), 53978 - 53970), ehT0Px3KOsy9('\x30' + chr(2984 - 2873) + chr(55) + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(5458 - 5347) + '\063' + chr(53) + '\065', 12390 - 12382), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1000000 + 0o57) + chr(0b11111 + 0o22) + chr(0b110001) + chr(0b110010), 11884 - 11876), ehT0Px3KOsy9('\x30' + chr(0b1001 + 0o146) + '\x33' + chr(0b110110) + chr(1946 - 1895), 0o10), ehT0Px3KOsy9('\060' + chr(0b1011100 + 0o23) + '\x35' + chr(2306 - 2257), 0o10), ehT0Px3KOsy9(chr(1826 - 1778) + chr(0b11111 + 0o120) + '\062' + chr(0b110011) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x36' + chr(360 - 311), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101 + 0o55) + '\063' + chr(913 - 861), 8), ehT0Px3KOsy9(chr(1590 - 1542) + chr(0b1101111) + chr(49) + chr(53) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b101 + 0o60) + chr(48), 0b1000), ehT0Px3KOsy9(chr(1693 - 1645) + chr(0b1101111) + chr(0b110011) + '\063' + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(0b101010 + 0o105) + '\063' + chr(52) + chr(687 - 635), 61533 - 61525), ehT0Px3KOsy9('\060' + chr(0b100100 + 0o113) + '\x31' + chr(0b110100 + 0o0) + '\065', 41553 - 41545), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(51) + '\x32', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(2226 - 2175) + '\062' + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\x34' + chr(2237 - 2186), ord("\x08")), ehT0Px3KOsy9(chr(401 - 353) + chr(0b1101111) + '\062' + '\x32' + chr(1292 - 1244), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(800 - 749) + chr(0b101100 + 0o7) + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b11000 + 0o127) + chr(1341 - 1290) + chr(0b110011 + 0o1), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\065' + chr(0b10110 + 0o35), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b1010 + 0o46) + '\064', 15535 - 15527), ehT0Px3KOsy9('\x30' + '\157' + '\x34' + chr(0b101011 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(53) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + '\061' + chr(0b110000 + 0o3) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\060' + chr(911 - 856), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + chr(0b110001) + chr(0b110010) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100011 + 0o16) + '\x37' + chr(50), 14740 - 14732), ehT0Px3KOsy9('\x30' + chr(1042 - 931) + chr(0b1010 + 0o50) + '\x30' + chr(0b110000), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11100 + 0o31) + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb'), '\144' + chr(0b1100101) + '\x63' + '\157' + '\144' + '\x65')(chr(399 - 282) + chr(0b1010000 + 0o44) + '\x66' + chr(0b11111 + 0o16) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def cw08puav95rB(xQt6gV9VfTO3, ix9dZyeAmUxY, PFDxXM_vbSsA):
if xQt6gV9VfTO3 == xafqLlk3kkUe(SXOLrMavuUCe(b'\x98\xae\x81\xb5\x89'), chr(0b110011 + 0o61) + chr(0b1100101) + '\143' + '\x6f' + chr(0b1000010 + 0o42) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(0b110100 + 0o62) + '\055' + '\x38'):
(sW8AagBcZuuj, Fqf3aMH2G9yX) = WD5Ov1o8cyMl(ix9dZyeAmUxY, (ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000110 + 0o51) + chr(51) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + chr(1778 - 1727) + '\064', 8)), num_parts=oG9AO0uxBJ0V.c1aWEsj_NmYg, part_index=oG9AO0uxBJ0V.rank)
elif xQt6gV9VfTO3 == xafqLlk3kkUe(SXOLrMavuUCe(b'\x96\xa9\x8e\xa7\x8f\xf0\x84'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(3505 - 3394) + '\144' + chr(101))('\x75' + chr(116) + chr(0b1001000 + 0o36) + chr(0b11100 + 0o21) + chr(56)):
(sW8AagBcZuuj, Fqf3aMH2G9yX) = sUYcFTGDwHV3(ix9dZyeAmUxY, (ehT0Px3KOsy9(chr(48) + chr(2385 - 2274) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(1379 - 1331) + chr(6187 - 6076) + '\064' + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(4168 - 4057) + chr(0b110100) + '\060', 8)), num_parts=oG9AO0uxBJ0V.c1aWEsj_NmYg, part_index=oG9AO0uxBJ0V.rank)
elif xQt6gV9VfTO3 == xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\xad\x89\xa1\x98\xaf\xd1W'), chr(100) + chr(0b1001100 + 0o31) + chr(99) + chr(2787 - 2676) + chr(8497 - 8397) + chr(0b1100101))(chr(0b1 + 0o164) + chr(0b1110100) + chr(0b111011 + 0o53) + chr(45) + chr(1733 - 1677)):
PnsROS87HOPs = ehT0Px3KOsy9(chr(48) + '\157' + chr(1066 - 1014) + chr(53) + '\x33', 0b1000) if yJFe33rl9i_r == xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\xae\x8b\xa3\x8d\xb5\xddL\xe2\xfdi'), chr(100) + '\145' + chr(0b1000110 + 0o35) + chr(0b1100 + 0o143) + '\x64' + chr(0b1100101))(chr(4375 - 4258) + chr(0b1110100) + chr(0b10 + 0o144) + chr(0b101101) + chr(0b110000 + 0o10)) else ehT0Px3KOsy9('\060' + chr(0b1010000 + 0o37) + chr(51) + '\064' + chr(48), 0b1000)
if not xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\x96\xae\x94\xb9\xf4\x80\x17\xe4\xe2\x05\xe7'), chr(0b1100010 + 0o2) + '\x65' + '\143' + '\157' + chr(2089 - 1989) + chr(101))(chr(0b1110101) + chr(0b10001 + 0o143) + chr(0b1100110) + '\x2d' + chr(3017 - 2961))):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\xa9\x9a\xe6\x9e\xae\xdaW\xed\xe24\xbfS\x8aj\x81H\xeb\x11\xf5\x03\t\xb8\x81\x16z\xbd\x8d\xb0\xabnJ-I\x05*&=Z\xe9\x86\xe0\x9a\xa3\x8c\xb4\xddQ\xe9\xefz\xb0R\x9fj\x9aD\xfdV\xf9\x00\r\xab\xca56\xb1\x82\xe3\xba<X4BI5!(Z\xa2\xd8\xed\x8c\xa7\x89\xa0\x99G\xe5\xf9x'), chr(0b1100100) + '\x65' + '\x63' + chr(0b1101111) + chr(0b101110 + 0o66) + '\x65')(chr(0b1001100 + 0o51) + chr(0b1110100) + chr(822 - 720) + chr(0b101101) + chr(56)))
(sW8AagBcZuuj, Fqf3aMH2G9yX) = ZilzCEehYwxd(PFDxXM_vbSsA.kVFRD544hi_1, ix9dZyeAmUxY, PFDxXM_vbSsA.c1aWEsj_NmYg, PnsROS87HOPs, PFDxXM_vbSsA.jSV9IKnemH7K)
elif xQt6gV9VfTO3 == xafqLlk3kkUe(SXOLrMavuUCe(b'\x96\xa1\x84\xb2\x98\xa2\xdc\x12\xbc\xba'), chr(0b111011 + 0o51) + '\145' + '\143' + chr(1723 - 1612) + chr(100) + chr(0b1001001 + 0o34))('\165' + chr(0b1110100) + chr(4145 - 4043) + '\x2d' + chr(0b1001 + 0o57)):
(sW8AagBcZuuj, Fqf3aMH2G9yX) = FQjbaYvk_GGT(ix9dZyeAmUxY, PFDxXM_vbSsA.c1aWEsj_NmYg, PFDxXM_vbSsA.jSV9IKnemH7K)
elif xQt6gV9VfTO3 == xafqLlk3kkUe(SXOLrMavuUCe(b'\x91\xb5\x85\xab\x84'), '\144' + '\x65' + '\143' + chr(0b100110 + 0o111) + chr(0b1100100) + '\x65')(chr(117) + chr(0b101100 + 0o110) + '\146' + chr(0b101101) + chr(0b0 + 0o70)):
PnsROS87HOPs = ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1160 - 1108) + '\065' + '\063', 8) if yJFe33rl9i_r == xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\xae\x8b\xa3\x8d\xb5\xddL\xe2\xfdi'), chr(100) + '\x65' + chr(99) + chr(0b1101111) + chr(100) + '\145')('\165' + chr(116) + chr(0b1100110) + chr(1659 - 1614) + '\x38') else ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + chr(649 - 598) + '\x34' + chr(0b10100 + 0o34), 8)
(sW8AagBcZuuj, Fqf3aMH2G9yX) = DpIeQozH2W9V(ix9dZyeAmUxY, (ehT0Px3KOsy9('\060' + '\x6f' + '\x33', 8), PnsROS87HOPs, PnsROS87HOPs))
return (sW8AagBcZuuj, Fqf3aMH2G9yX)
|
apache/incubator-mxnet
|
example/gluon/image_classification.py
|
update_learning_rate
|
def update_learning_rate(lr, trainer, epoch, ratio, steps):
"""Set the learning rate to the initial value decayed by ratio every N epochs."""
new_lr = lr * (ratio ** int(np.sum(np.array(steps) < epoch)))
trainer.set_learning_rate(new_lr)
return trainer
|
python
|
def update_learning_rate(lr, trainer, epoch, ratio, steps):
"""Set the learning rate to the initial value decayed by ratio every N epochs."""
new_lr = lr * (ratio ** int(np.sum(np.array(steps) < epoch)))
trainer.set_learning_rate(new_lr)
return trainer
|
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] |
Set the learning rate to the initial value decayed by ratio every N epochs.
|
[
"Set",
"the",
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"initial",
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"decayed",
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/image_classification.py#L174-L178
|
train
|
Update the learning rate for the next N epochs.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(1849 - 1738) + chr(0b110010) + chr(1702 - 1654), 24612 - 24604), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(54) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1001010 + 0o45) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1427 - 1377) + chr(317 - 265) + chr(0b11110 + 0o27), 55358 - 55350), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111 + 0o0) + chr(54) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(764 - 713) + '\x35', 14114 - 14106), ehT0Px3KOsy9(chr(48) + chr(0b100001 + 0o116) + '\x33' + chr(52) + chr(0b11000 + 0o34), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(1504 - 1455) + '\066' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b100 + 0o56) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(708 - 660) + chr(111) + chr(51) + chr(51) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10100 + 0o43) + chr(0b101111 + 0o1), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110110 + 0o71) + chr(49) + chr(0b110101) + chr(1529 - 1474), 20353 - 20345), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(0b110100) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1110 + 0o141) + chr(52) + chr(0b1110 + 0o43), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(5558 - 5447) + '\x33' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\064' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(1415 - 1367) + '\x6f' + chr(2261 - 2211) + chr(0b110011) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(6947 - 6836) + chr(49) + chr(0b111 + 0o51) + chr(53), 34767 - 34759), ehT0Px3KOsy9('\x30' + chr(3281 - 3170) + chr(0b10101 + 0o35) + chr(0b100010 + 0o21) + chr(996 - 944), ord("\x08")), ehT0Px3KOsy9(chr(99 - 51) + chr(111) + '\063' + '\x32' + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(468 - 417) + '\x34' + '\061', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1404 - 1354) + chr(55) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(0b110001) + '\067' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(1931 - 1883) + chr(111) + '\x32' + chr(1137 - 1086) + chr(1085 - 1034), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10088 - 9977) + '\x31' + chr(53) + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11011 + 0o26) + chr(0b110000 + 0o7) + chr(0b1011 + 0o51), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1011 + 0o47) + chr(50) + chr(0b110001), 63665 - 63657), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(862 - 808) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(3267 - 3156) + chr(0b110010) + chr(0b110110) + chr(0b110101), 45008 - 45000), ehT0Px3KOsy9(chr(48) + chr(11861 - 11750) + '\061' + chr(0b1101 + 0o50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(0b111 + 0o57) + chr(0b110101 + 0o2), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(50) + chr(807 - 757) + chr(0b10001 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(0b100011 + 0o17), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b100110 + 0o17) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(0b101010 + 0o11) + chr(0b10010 + 0o40), 0b1000), ehT0Px3KOsy9(chr(391 - 343) + '\x6f' + chr(0b10101 + 0o34), 8), ehT0Px3KOsy9('\x30' + chr(10600 - 10489) + chr(0b110010) + chr(0b110000) + chr(1137 - 1089), 0o10), ehT0Px3KOsy9(chr(48) + chr(11688 - 11577) + chr(0b110111) + chr(0b110111), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(266 - 218) + '\157' + chr(0b1101 + 0o50) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'>'), chr(6931 - 6831) + chr(101) + chr(0b10000 + 0o123) + '\157' + chr(100) + '\145')('\x75' + '\x74' + '\146' + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def v_gciuWvtuWh(Zzs55KO_HKfp, ehTF8dweL_Oo, LWTVW06OsTjl, pyiPBPsXZj35, v0VhEmlMsO_l):
etCKcFkEzhkp = Zzs55KO_HKfp * pyiPBPsXZj35 ** ehT0Px3KOsy9(WqUC3KWvYVup.xkxBmo49x2An(WqUC3KWvYVup.B0ePDhpqxN5n(v0VhEmlMsO_l) < LWTVW06OsTjl))
xafqLlk3kkUe(ehTF8dweL_Oo, xafqLlk3kkUe(SXOLrMavuUCe(b'c\xd7u\xfa\\x\x85\x01\xba\xb7V\x08\xbeShj\x07'), chr(100) + chr(479 - 378) + '\143' + chr(0b1001101 + 0o42) + chr(100) + chr(0b1010111 + 0o16))(chr(117) + chr(4055 - 3939) + '\146' + chr(45) + '\x38'))(etCKcFkEzhkp)
return ehTF8dweL_Oo
|
apache/incubator-mxnet
|
python/mxnet/random.py
|
seed
|
def seed(seed_state, ctx="all"):
"""Seeds the random number generators in MXNet.
This affects the behavior of modules in MXNet that uses random number generators,
like the dropout operator and `NDArray`'s random sampling operators.
Parameters
----------
seed_state : int
The random number seed.
ctx : Context
The device context of the generator. The default is "all" which means seeding random
number generators of all devices.
Notes
-----
Random number generators in MXNet are device specific.
`mx.random.seed(seed_state)` sets the state of each generator using `seed_state` and the
device id. Therefore, random numbers generated from different devices can be different
even if they are seeded using the same seed.
To produce identical random number sequences independent of the device id,
set optional `ctx` argument. This produces the same sequence of random numbers independent
of the device id, but the sequence can be different on different kind of devices as MXNet's
random number generators for CPU and GPU use different algorithms.
Example
-------
>>> print(mx.nd.random.normal(shape=(2,2)).asnumpy())
[[ 1.36481571 -0.62203991]
[-1.4962182 -0.08511394]]
>>> print(mx.nd.random.normal(shape=(2,2)).asnumpy())
[[ 1.09544981 -0.20014545]
[-0.20808885 0.2527658 ]]
# Same results on the same device with the same seed
>>> mx.random.seed(128)
>>> print(mx.nd.random.normal(shape=(2,2)).asnumpy())
[[ 0.47400656 -0.75213492]
[ 0.20251541 0.95352972]]
>>> mx.random.seed(128)
>>> print(mx.nd.random.normal(shape=(2,2)).asnumpy())
[[ 0.47400656 -0.75213492]
[ 0.20251541 0.95352972]]
# Different results on gpu(0) and gpu(1) with the same seed
>>> mx.random.seed(128)
>>> print(mx.nd.random.normal(shape=(2,2), ctx=mx.gpu(0)).asnumpy())
[[ 2.5020072 -1.6884501]
[-0.7931333 -1.4218881]]
>>> mx.random.seed(128)
>>> print(mx.nd.random.normal(shape=(2,2), ctx=mx.gpu(1)).asnumpy())
[[ 0.24336822 -1.664805 ]
[-1.0223296 1.253198 ]]
# Seeding with `ctx` argument produces identical results on gpu(0) and gpu(1)
>>> mx.random.seed(128, ctx=mx.gpu(0))
>>> print(mx.nd.random.normal(shape=(2,2), ctx=mx.gpu(0)).asnumpy())
[[ 2.5020072 -1.6884501]
[-0.7931333 -1.4218881]]
>>> mx.random.seed(128, ctx=mx.gpu(1))
>>> print(mx.nd.random.normal(shape=(2,2), ctx=mx.gpu(1)).asnumpy())
[[ 2.5020072 -1.6884501]
[-0.7931333 -1.4218881]]
"""
if not isinstance(seed_state, integer_types):
raise ValueError('seed_state must be int')
seed_state = ctypes.c_int(int(seed_state))
if ctx == "all":
check_call(_LIB.MXRandomSeed(seed_state))
else:
ctx = Context(ctx)
check_call(_LIB.MXRandomSeedContext(seed_state, ctx.device_typeid, ctx.device_id))
|
python
|
def seed(seed_state, ctx="all"):
"""Seeds the random number generators in MXNet.
This affects the behavior of modules in MXNet that uses random number generators,
like the dropout operator and `NDArray`'s random sampling operators.
Parameters
----------
seed_state : int
The random number seed.
ctx : Context
The device context of the generator. The default is "all" which means seeding random
number generators of all devices.
Notes
-----
Random number generators in MXNet are device specific.
`mx.random.seed(seed_state)` sets the state of each generator using `seed_state` and the
device id. Therefore, random numbers generated from different devices can be different
even if they are seeded using the same seed.
To produce identical random number sequences independent of the device id,
set optional `ctx` argument. This produces the same sequence of random numbers independent
of the device id, but the sequence can be different on different kind of devices as MXNet's
random number generators for CPU and GPU use different algorithms.
Example
-------
>>> print(mx.nd.random.normal(shape=(2,2)).asnumpy())
[[ 1.36481571 -0.62203991]
[-1.4962182 -0.08511394]]
>>> print(mx.nd.random.normal(shape=(2,2)).asnumpy())
[[ 1.09544981 -0.20014545]
[-0.20808885 0.2527658 ]]
# Same results on the same device with the same seed
>>> mx.random.seed(128)
>>> print(mx.nd.random.normal(shape=(2,2)).asnumpy())
[[ 0.47400656 -0.75213492]
[ 0.20251541 0.95352972]]
>>> mx.random.seed(128)
>>> print(mx.nd.random.normal(shape=(2,2)).asnumpy())
[[ 0.47400656 -0.75213492]
[ 0.20251541 0.95352972]]
# Different results on gpu(0) and gpu(1) with the same seed
>>> mx.random.seed(128)
>>> print(mx.nd.random.normal(shape=(2,2), ctx=mx.gpu(0)).asnumpy())
[[ 2.5020072 -1.6884501]
[-0.7931333 -1.4218881]]
>>> mx.random.seed(128)
>>> print(mx.nd.random.normal(shape=(2,2), ctx=mx.gpu(1)).asnumpy())
[[ 0.24336822 -1.664805 ]
[-1.0223296 1.253198 ]]
# Seeding with `ctx` argument produces identical results on gpu(0) and gpu(1)
>>> mx.random.seed(128, ctx=mx.gpu(0))
>>> print(mx.nd.random.normal(shape=(2,2), ctx=mx.gpu(0)).asnumpy())
[[ 2.5020072 -1.6884501]
[-0.7931333 -1.4218881]]
>>> mx.random.seed(128, ctx=mx.gpu(1))
>>> print(mx.nd.random.normal(shape=(2,2), ctx=mx.gpu(1)).asnumpy())
[[ 2.5020072 -1.6884501]
[-0.7931333 -1.4218881]]
"""
if not isinstance(seed_state, integer_types):
raise ValueError('seed_state must be int')
seed_state = ctypes.c_int(int(seed_state))
if ctx == "all":
check_call(_LIB.MXRandomSeed(seed_state))
else:
ctx = Context(ctx)
check_call(_LIB.MXRandomSeedContext(seed_state, ctx.device_typeid, ctx.device_id))
|
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Seeds the random number generators in MXNet.
This affects the behavior of modules in MXNet that uses random number generators,
like the dropout operator and `NDArray`'s random sampling operators.
Parameters
----------
seed_state : int
The random number seed.
ctx : Context
The device context of the generator. The default is "all" which means seeding random
number generators of all devices.
Notes
-----
Random number generators in MXNet are device specific.
`mx.random.seed(seed_state)` sets the state of each generator using `seed_state` and the
device id. Therefore, random numbers generated from different devices can be different
even if they are seeded using the same seed.
To produce identical random number sequences independent of the device id,
set optional `ctx` argument. This produces the same sequence of random numbers independent
of the device id, but the sequence can be different on different kind of devices as MXNet's
random number generators for CPU and GPU use different algorithms.
Example
-------
>>> print(mx.nd.random.normal(shape=(2,2)).asnumpy())
[[ 1.36481571 -0.62203991]
[-1.4962182 -0.08511394]]
>>> print(mx.nd.random.normal(shape=(2,2)).asnumpy())
[[ 1.09544981 -0.20014545]
[-0.20808885 0.2527658 ]]
# Same results on the same device with the same seed
>>> mx.random.seed(128)
>>> print(mx.nd.random.normal(shape=(2,2)).asnumpy())
[[ 0.47400656 -0.75213492]
[ 0.20251541 0.95352972]]
>>> mx.random.seed(128)
>>> print(mx.nd.random.normal(shape=(2,2)).asnumpy())
[[ 0.47400656 -0.75213492]
[ 0.20251541 0.95352972]]
# Different results on gpu(0) and gpu(1) with the same seed
>>> mx.random.seed(128)
>>> print(mx.nd.random.normal(shape=(2,2), ctx=mx.gpu(0)).asnumpy())
[[ 2.5020072 -1.6884501]
[-0.7931333 -1.4218881]]
>>> mx.random.seed(128)
>>> print(mx.nd.random.normal(shape=(2,2), ctx=mx.gpu(1)).asnumpy())
[[ 0.24336822 -1.664805 ]
[-1.0223296 1.253198 ]]
# Seeding with `ctx` argument produces identical results on gpu(0) and gpu(1)
>>> mx.random.seed(128, ctx=mx.gpu(0))
>>> print(mx.nd.random.normal(shape=(2,2), ctx=mx.gpu(0)).asnumpy())
[[ 2.5020072 -1.6884501]
[-0.7931333 -1.4218881]]
>>> mx.random.seed(128, ctx=mx.gpu(1))
>>> print(mx.nd.random.normal(shape=(2,2), ctx=mx.gpu(1)).asnumpy())
[[ 2.5020072 -1.6884501]
[-0.7931333 -1.4218881]]
|
[
"Seeds",
"the",
"random",
"number",
"generators",
"in",
"MXNet",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/random.py#L30-L100
|
train
|
Seeds the random number generators in MXNet.
|
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(1824 - 1776) + chr(111) + '\067' + chr(1856 - 1807), 4994 - 4986), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101111 + 0o2) + chr(0b11010 + 0o27) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1000 + 0o147) + '\x31' + chr(0b110001) + chr(0b110101), 16808 - 16800), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011101 + 0o22) + chr(2266 - 2216) + '\064' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + '\x31' + chr(0b110011) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101101 + 0o5) + chr(1622 - 1574) + chr(346 - 294), 59517 - 59509), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(534 - 484) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + chr(0b110 + 0o55) + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(4660 - 4549) + chr(544 - 494) + chr(0b11 + 0o56) + chr(0b10100 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(2010 - 1962) + chr(111) + chr(81 - 32) + '\062' + chr(52), 33440 - 33432), ehT0Px3KOsy9('\x30' + '\x6f' + chr(53) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(55) + chr(0b11 + 0o64), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065' + chr(0b110110), 16780 - 16772), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010001 + 0o36) + chr(2090 - 2041) + chr(0b110000) + '\x35', 0o10), ehT0Px3KOsy9(chr(759 - 711) + '\x6f' + chr(0b11100 + 0o27) + chr(0b110100) + chr(106 - 58), 10353 - 10345), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + '\x37' + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(4751 - 4640) + '\061' + '\067' + chr(216 - 162), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1485 - 1436) + chr(0b100000 + 0o26), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b110101) + chr(0b0 + 0o64), ord("\x08")), ehT0Px3KOsy9(chr(158 - 110) + '\157' + chr(0b111 + 0o54) + chr(179 - 125) + '\065', 42768 - 42760), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110111) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + '\x34', 10249 - 10241), ehT0Px3KOsy9(chr(819 - 771) + chr(111) + '\062' + chr(0b11011 + 0o32) + '\067', 4355 - 4347), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1162 - 1111) + '\063' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9878 - 9767) + chr(0b100000 + 0o23) + chr(0b110010) + chr(2402 - 2351), 16890 - 16882), ehT0Px3KOsy9('\060' + chr(7908 - 7797) + chr(0b110010) + '\061' + '\x37', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(956 - 905) + chr(194 - 146) + chr(0b110001), 17181 - 17173), ehT0Px3KOsy9(chr(1095 - 1047) + chr(111) + chr(0b110001) + chr(0b110111) + chr(663 - 609), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b10 + 0o56) + chr(0b110011), 44724 - 44716), ehT0Px3KOsy9(chr(415 - 367) + chr(0b100101 + 0o112) + '\062' + chr(0b10000 + 0o43) + chr(0b1000 + 0o55), 35311 - 35303), ehT0Px3KOsy9('\060' + chr(0b1000001 + 0o56) + chr(0b101101 + 0o7) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(935 - 887) + '\x6f' + '\062' + chr(1053 - 1005) + chr(51), 0b1000), ehT0Px3KOsy9(chr(972 - 924) + chr(7237 - 7126) + '\x32' + chr(507 - 458) + '\067', 8), ehT0Px3KOsy9(chr(2271 - 2223) + chr(0b1101111) + chr(49) + chr(0b1111 + 0o43) + chr(52), 8), ehT0Px3KOsy9('\x30' + chr(4317 - 4206) + chr(0b110011) + '\067' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + chr(444 - 394) + chr(55) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000101 + 0o52) + '\064' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(4528 - 4417) + '\062' + chr(48) + chr(1370 - 1321), 22191 - 22183), ehT0Px3KOsy9(chr(369 - 321) + '\x6f' + chr(0b100011 + 0o17) + chr(0b10 + 0o64) + chr(2494 - 2444), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(1583 - 1531) + '\060', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1712 - 1664) + '\157' + chr(0b110101) + '\x30', 59522 - 59514)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x17'), chr(3677 - 3577) + '\x65' + chr(5258 - 5159) + '\157' + chr(0b1100100) + chr(0b110011 + 0o62))('\x75' + chr(0b1100100 + 0o20) + chr(102) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def cEhryM0YPR0h(w8IkvfLOcJ93, oM3jLo753XfX=xafqLlk3kkUe(SXOLrMavuUCe(b'X#!'), '\144' + chr(0b1100101) + '\x63' + chr(7818 - 7707) + chr(0b11000 + 0o114) + chr(1646 - 1545))('\x75' + chr(116) + chr(102) + chr(0b101101) + chr(81 - 25))):
if not PlSM16l2KDPD(w8IkvfLOcJ93, GakrcjanQCW1):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'J*(\xc4\x04\xf7$~\xfb1\x0bR[6\x94^\x1ck\xcc\x9cV`'), '\144' + chr(0b1100011 + 0o2) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(0b101101 + 0o70))('\x75' + '\x74' + chr(102) + chr(1317 - 1272) + chr(1910 - 1854)))
w8IkvfLOcJ93 = RyQ4N1viUrfz.c_int(ehT0Px3KOsy9(w8IkvfLOcJ93))
if oM3jLo753XfX == xafqLlk3kkUe(SXOLrMavuUCe(b'X#!'), '\x64' + '\x65' + '\x63' + chr(111) + '\144' + chr(101))('\165' + chr(0b1110100) + chr(0b1011100 + 0o12) + chr(0b101101) + chr(56)):
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b't\x17\x1f\xc15\xe0?r\xdc1N['), chr(0b1100100) + chr(5397 - 5296) + '\x63' + chr(0b1100001 + 0o16) + chr(100) + chr(2498 - 2397))(chr(117) + chr(0b1010011 + 0o41) + chr(0b101 + 0o141) + '\055' + chr(0b11000 + 0o40)))(w8IkvfLOcJ93))
else:
oM3jLo753XfX = OQ5n2iUDAxKy(oM3jLo753XfX)
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b't\x17\x1f\xc15\xe0?r\xdc1N[m*\x8e\n\x1bv\x98'), '\144' + chr(5259 - 5158) + chr(0b1010101 + 0o16) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(117) + '\164' + chr(0b1100000 + 0o6) + chr(62 - 17) + chr(56)))(w8IkvfLOcJ93, xafqLlk3kkUe(oM3jLo753XfX, xafqLlk3kkUe(SXOLrMavuUCe(b']*;\xc98\xe1\x0fk\xf6$NVJ'), chr(100) + chr(0b10111 + 0o116) + '\143' + chr(12070 - 11959) + chr(0b1011010 + 0o12) + chr(0b1100101))('\x75' + chr(0b1110100) + '\146' + chr(45) + chr(0b111000))), xafqLlk3kkUe(oM3jLo753XfX, xafqLlk3kkUe(SXOLrMavuUCe(b']*;\xc98\xe1\x0fv\xeb'), '\144' + '\x65' + chr(8903 - 8804) + chr(5485 - 5374) + chr(0b10111 + 0o115) + '\x65')(chr(0b1000011 + 0o62) + '\164' + chr(102) + chr(1678 - 1633) + chr(0b10 + 0o66)))))
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
random_uniform
|
def random_uniform(attrs, inputs, proto_obj):
"""Draw random samples from a uniform distribtuion."""
try:
from onnx.mapping import TENSOR_TYPE_TO_NP_TYPE
except ImportError:
raise ImportError("Onnx and protobuf need to be installed. "
"Instructions to install - https://github.com/onnx/onnx")
new_attrs = translation_utils._remove_attributes(attrs, ['seed'])
new_attrs['dtype'] = TENSOR_TYPE_TO_NP_TYPE[int(new_attrs.get('dtype', 1))]
return 'random_uniform', new_attrs, inputs
|
python
|
def random_uniform(attrs, inputs, proto_obj):
"""Draw random samples from a uniform distribtuion."""
try:
from onnx.mapping import TENSOR_TYPE_TO_NP_TYPE
except ImportError:
raise ImportError("Onnx and protobuf need to be installed. "
"Instructions to install - https://github.com/onnx/onnx")
new_attrs = translation_utils._remove_attributes(attrs, ['seed'])
new_attrs['dtype'] = TENSOR_TYPE_TO_NP_TYPE[int(new_attrs.get('dtype', 1))]
return 'random_uniform', new_attrs, inputs
|
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] |
Draw random samples from a uniform distribtuion.
|
[
"Draw",
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"samples",
"from",
"a",
"uniform",
"distribtuion",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L30-L39
|
train
|
Draw random samples from a uniform distribtuion.
|
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(0b10001 + 0o37) + chr(5256 - 5145) + chr(51) + '\x36' + chr(54), 24668 - 24660), ehT0Px3KOsy9(chr(48) + chr(2524 - 2413) + '\061' + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b101111 + 0o3) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1663 - 1615) + '\157' + '\061' + chr(0b11001 + 0o34) + chr(55), 61797 - 61789), ehT0Px3KOsy9(chr(48) + chr(3470 - 3359) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(50) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(1434 - 1386) + chr(0b1101111) + chr(0b110010) + '\x34' + '\060', 24037 - 24029), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b110001) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(3459 - 3348) + chr(0b101001 + 0o16), 8), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + chr(53) + chr(1687 - 1635), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\x6f' + '\x37', 8), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b101101 + 0o6) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(7010 - 6899) + chr(0b110001) + chr(0b110001) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110 + 0o53) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + '\062' + chr(0b110110) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + '\x33' + chr(0b110110) + '\061', 21525 - 21517), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b1101 + 0o45) + chr(0b10010 + 0o41), 0b1000), ehT0Px3KOsy9(chr(1444 - 1396) + chr(111) + chr(50) + chr(0b110100) + '\066', 0o10), ehT0Px3KOsy9(chr(1581 - 1533) + chr(111) + '\061' + chr(49) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10010 + 0o40) + chr(0b110010) + chr(0b10101 + 0o36), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b110001 + 0o2) + '\x32', 0o10), ehT0Px3KOsy9(chr(447 - 399) + '\157' + chr(0b110111) + chr(0b10000 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(2321 - 2272) + chr(0b110010) + chr(0b110011), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(55) + '\x35', 0b1000), ehT0Px3KOsy9(chr(1204 - 1156) + chr(0b1101111) + chr(710 - 661) + chr(0b1111 + 0o46) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\x37' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(381 - 330) + chr(0b110001) + chr(0b11110 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\x37' + chr(0b10 + 0o64), 58544 - 58536), ehT0Px3KOsy9(chr(1268 - 1220) + chr(0b101111 + 0o100) + chr(0b110001) + chr(48) + chr(0b11 + 0o55), 41813 - 41805), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(0b101 + 0o54) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001111 + 0o40) + '\x31' + chr(0b101011 + 0o12) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1100111 + 0o10) + '\x33' + '\061' + chr(0b100101 + 0o17), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b110011 + 0o74) + chr(49) + '\064', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1621 - 1572) + chr(55) + chr(119 - 64), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(352 - 304), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10000 + 0o137) + chr(0b1111 + 0o43) + '\x35' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + '\x32' + chr(0b100100 + 0o17) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(2391 - 2280) + chr(53) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8'), '\x64' + chr(0b1100101) + chr(7750 - 7651) + '\x6f' + chr(0b1100100) + '\x65')('\165' + '\164' + chr(102) + chr(458 - 413) + chr(0b111000 + 0o0)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def x4Tdf9WHjLXx(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
try:
(Hg1mjXZBo0to,) = (xafqLlk3kkUe(xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\x99a9\x17)\xb8\xc1v\xbcnB`'), '\144' + '\145' + '\x63' + chr(8028 - 7917) + chr(0b101010 + 0o72) + chr(1318 - 1217))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(0b11100 + 0o21) + chr(0b1011 + 0o55)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2J\x19<H\x87\xffR\x95WiX\x0f\x01S\xfb\xa1\x0c\xf2\x11\xc3\x9f'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(0b1000010 + 0o42) + '\145')(chr(0b1100101 + 0o20) + chr(116) + chr(0b110000 + 0o66) + chr(1385 - 1340) + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b"\x9bn'\x1fn\xbb\xc7"), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(3985 - 3874) + '\x64' + chr(0b111101 + 0o50))(chr(0b1110101) + chr(2413 - 2297) + chr(175 - 73) + '\055' + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2J\x19<H\x87\xffR\x95WiX\x0f\x01S\xfb\xa1\x0c\xf2\x11\xc3\x9f'), chr(0b1000 + 0o134) + chr(2417 - 2316) + chr(0b10010 + 0o121) + '\157' + chr(0b100100 + 0o100) + chr(0b1100101))(chr(12344 - 12227) + '\164' + '\146' + chr(0b100110 + 0o7) + '\070')),)
except yROw0HWBk0Qc:
raise yROw0HWBk0Qc(xafqLlk3kkUe(SXOLrMavuUCe(b"\xb9a9\x17'\xb4\xceb\xecw^h/!n\xc0\x97s\xc8-\xf6\xbe\x1e'RL\xdb\xab^)\xa3c\x18\xad`\x13e\xcd\xb7!\xbfa$\x1bu\xa0\xc3r\xa5hBt{:c\x95\x98=\xd5<\xf2\xb6Rs\x10L\xd1\xba\n0\xbe*C\xe3k\x16t\xc1\xecc\xd8l8\x02(\xba\xceh\xb4(Ci56"), '\x64' + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(3971 - 3870))('\x75' + '\x74' + '\146' + '\x2d' + '\070'))
Oynw8flqk0TY = e_2m_ddtWLQF._remove_attributes(oIhwMA96NShQ, [xafqLlk3kkUe(SXOLrMavuUCe(b'\x85j2\x0b'), '\144' + '\145' + '\143' + chr(0b1101111) + chr(8718 - 8618) + '\145')(chr(0b1110101) + '\164' + chr(0b1100110) + chr(0b11110 + 0o17) + '\x38')])
Oynw8flqk0TY[xafqLlk3kkUe(SXOLrMavuUCe(b'\x92{.\x1fb'), '\144' + '\x65' + chr(0b101 + 0o136) + chr(9320 - 9209) + chr(100) + chr(101))(chr(8463 - 8346) + chr(116) + '\146' + '\055' + '\x38')] = Hg1mjXZBo0to[ehT0Px3KOsy9(Oynw8flqk0TY.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\x92{.\x1fb'), '\144' + chr(0b101100 + 0o71) + chr(0b1000001 + 0o42) + '\x6f' + chr(0b1100100) + chr(101))('\x75' + chr(0b1110100) + chr(9384 - 9282) + chr(884 - 839) + '\070'), ehT0Px3KOsy9(chr(0b110000) + chr(9616 - 9505) + chr(49), 8)))]
return (xafqLlk3kkUe(SXOLrMavuUCe(b'\x84n9\x0bh\xb8\xffs\xa2nJh)#'), '\144' + chr(101) + chr(99) + chr(111) + chr(0b1100100) + chr(0b110 + 0o137))(chr(1058 - 941) + chr(116) + chr(0b1110 + 0o130) + '\055' + chr(56)), Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
random_normal
|
def random_normal(attrs, inputs, proto_obj):
"""Draw random samples from a Gaussian distribution."""
try:
from onnx.mapping import TENSOR_TYPE_TO_NP_TYPE
except ImportError:
raise ImportError("Onnx and protobuf need to be installed. "
"Instructions to install - https://github.com/onnx/onnx")
new_attr = translation_utils._remove_attributes(attrs, ['seed'])
new_attr = translation_utils._fix_attribute_names(new_attr, {'mean': 'loc'})
new_attr['dtype'] = TENSOR_TYPE_TO_NP_TYPE[int(new_attr.get('dtype', 1))]
return 'random_normal', new_attr, inputs
|
python
|
def random_normal(attrs, inputs, proto_obj):
"""Draw random samples from a Gaussian distribution."""
try:
from onnx.mapping import TENSOR_TYPE_TO_NP_TYPE
except ImportError:
raise ImportError("Onnx and protobuf need to be installed. "
"Instructions to install - https://github.com/onnx/onnx")
new_attr = translation_utils._remove_attributes(attrs, ['seed'])
new_attr = translation_utils._fix_attribute_names(new_attr, {'mean': 'loc'})
new_attr['dtype'] = TENSOR_TYPE_TO_NP_TYPE[int(new_attr.get('dtype', 1))]
return 'random_normal', new_attr, inputs
|
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] |
Draw random samples from a Gaussian distribution.
|
[
"Draw",
"random",
"samples",
"from",
"a",
"Gaussian",
"distribution",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L41-L51
|
train
|
Draw random samples from a Gaussian 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('\x30' + chr(0b110100 + 0o73) + chr(992 - 942) + chr(0b100010 + 0o17) + chr(53), 0b1000), ehT0Px3KOsy9(chr(546 - 498) + chr(3207 - 3096) + chr(49) + chr(187 - 138) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(3256 - 3145) + '\063' + chr(55) + chr(846 - 797), ord("\x08")), ehT0Px3KOsy9(chr(693 - 645) + chr(111) + '\062' + chr(50) + chr(950 - 902), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\x33' + '\x34', 0b1000), ehT0Px3KOsy9(chr(973 - 925) + '\x6f' + chr(51) + chr(0b110111) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1100 + 0o45) + chr(0b11011 + 0o33) + '\063', 47948 - 47940), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\064' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + chr(480 - 431) + chr(1014 - 959) + '\061', 57496 - 57488), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1338 - 1288) + chr(0b100010 + 0o22) + chr(0b0 + 0o64), 8), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + '\x33' + '\x37', 0o10), ehT0Px3KOsy9(chr(1510 - 1462) + '\x6f' + '\065' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1010110 + 0o31) + chr(1204 - 1154) + chr(0b100001 + 0o26) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(9527 - 9416) + chr(0b101110 + 0o4) + chr(52) + '\x32', 31854 - 31846), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b10011 + 0o134) + '\x32' + chr(54) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(0b110110) + '\x36', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(1096 - 1043) + chr(2078 - 2023), 39051 - 39043), ehT0Px3KOsy9(chr(48) + chr(0b10011 + 0o134) + '\x31' + chr(0b110000) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100110 + 0o11) + chr(160 - 111) + chr(0b110000) + chr(0b101111 + 0o6), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(0b101010 + 0o7) + chr(0b110001), 58210 - 58202), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + '\x37' + '\060', 62133 - 62125), ehT0Px3KOsy9(chr(0b110000) + chr(9593 - 9482) + chr(0b110001 + 0o2) + chr(0b11011 + 0o31) + chr(1676 - 1625), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(86 - 36) + chr(0b110111) + '\x33', 8), ehT0Px3KOsy9(chr(341 - 293) + '\x6f' + chr(0b100011 + 0o23) + chr(0b101111 + 0o10), 55443 - 55435), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1001 + 0o52) + chr(0b110000) + chr(0b10100 + 0o42), 0b1000), ehT0Px3KOsy9(chr(187 - 139) + '\157' + '\063' + chr(1800 - 1752), 23871 - 23863), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001 + 0o1) + '\x36' + chr(2798 - 2745), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11010 + 0o27) + '\x37' + chr(0b100000 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(2433 - 2382) + chr(1743 - 1690), ord("\x08")), ehT0Px3KOsy9(chr(1275 - 1227) + chr(0b1101111) + '\063' + '\063' + chr(2190 - 2140), 7908 - 7900), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(50) + chr(494 - 445), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1110 + 0o141) + chr(0b110110) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101000 + 0o7) + '\x32' + chr(83 - 35) + chr(0b110011 + 0o4), 17464 - 17456), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\061' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(2043 - 1992) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + '\x33' + chr(0b110100) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(4833 - 4722) + chr(708 - 659) + '\065' + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(1358 - 1309) + chr(0b110100), 29625 - 29617), ehT0Px3KOsy9(chr(48) + chr(10908 - 10797) + chr(389 - 339) + '\x34' + chr(2195 - 2141), 37638 - 37630)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + chr(53) + chr(2285 - 2237), 58186 - 58178)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3'), '\144' + '\x65' + chr(99) + chr(111) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(116) + chr(7140 - 7038) + chr(0b101101) + chr(2408 - 2352)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def I038WtExhGY9(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
try:
(Hg1mjXZBo0to,) = (xafqLlk3kkUe(xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2"\x97\xe8\xf2\x97\x12\xd4\t\xcdqH'), chr(0b1100100) + '\x65' + chr(99) + chr(0b11 + 0o154) + chr(7415 - 7315) + '\145')(chr(12956 - 12839) + '\164' + chr(0b1100110) + '\055' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9\t\xb7\xc3\x93\xa8,\xf0 \xf4Zp\xef\xed\xed\xf8\xbf\x1c\x11\x10h\xa6'), chr(5805 - 5705) + '\x65' + chr(7284 - 7185) + '\157' + chr(3926 - 3826) + chr(101))(chr(117) + chr(8118 - 8002) + '\x66' + '\055' + chr(0b111000))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0-\x89\xe0\xb5\x94\x14'), chr(0b1100100) + chr(1230 - 1129) + '\143' + '\x6f' + '\144' + chr(0b111000 + 0o55))(chr(0b1011011 + 0o32) + '\x74' + '\146' + chr(45) + chr(2918 - 2862))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9\t\xb7\xc3\x93\xa8,\xf0 \xf4Zp\xef\xed\xed\xf8\xbf\x1c\x11\x10h\xa6'), chr(100) + '\145' + chr(8336 - 8237) + chr(6831 - 6720) + chr(100) + chr(101))(chr(117) + chr(0b1110100) + '\146' + chr(1374 - 1329) + chr(56))),)
except yROw0HWBk0Qc:
raise yROw0HWBk0Qc(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2"\x97\xe8\xfc\x9b\x1d\xc0Y\xd4m@\xcf\xcd\xd0\xc3\x89c+,]\x87\x9bC\xa98\xd7\x1d\xfd\xb3k\xe2E\xe6\xe4\xf0\x82\r\xe2\x86\xc4"\x8a\xe4\xae\x8f\x10\xd0\x10\xcbq\\\x9b\xd6\xdd\x96\x86-6=Y\x8f\xd7\x17\xeb8\xdd\x0c\xa9\xaav\xab\x1e\xa8\xef\xf5\x93\x01\xb9\xc4\xa3/\x96\xfd\xf3\x95\x1d\xca\x01\x8bpA\xd5\xda'), '\x64' + '\145' + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(101))(chr(117) + chr(2735 - 2619) + '\x66' + chr(957 - 912) + '\070'))
H0tYDEJ9qY50 = e_2m_ddtWLQF._remove_attributes(oIhwMA96NShQ, [xafqLlk3kkUe(SXOLrMavuUCe(b'\xfe)\x9c\xf4'), '\x64' + '\145' + '\x63' + chr(111) + '\144' + chr(0b1100101))('\x75' + chr(0b1110100) + chr(102) + chr(0b11110 + 0o17) + chr(0b10010 + 0o46))])
H0tYDEJ9qY50 = e_2m_ddtWLQF._fix_attribute_names(H0tYDEJ9qY50, {xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0)\x98\xfe'), '\x64' + chr(0b1100101) + '\x63' + chr(0b1100100 + 0o13) + '\144' + '\x65')(chr(0b1110101) + chr(0b1010001 + 0o43) + chr(0b101011 + 0o73) + '\055' + chr(0b1100 + 0o54)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1#\x9a'), chr(100) + chr(0b11110 + 0o107) + chr(140 - 41) + chr(11850 - 11739) + '\144' + chr(2834 - 2733))('\x75' + '\164' + '\x66' + chr(45) + '\070')})
H0tYDEJ9qY50[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe98\x80\xe0\xb9'), chr(0b101110 + 0o66) + chr(10145 - 10044) + chr(0b111110 + 0o45) + chr(6134 - 6023) + chr(6513 - 6413) + '\x65')('\x75' + '\x74' + chr(102) + chr(1036 - 991) + chr(0b0 + 0o70))] = Hg1mjXZBo0to[ehT0Px3KOsy9(H0tYDEJ9qY50.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe98\x80\xe0\xb9'), chr(100) + '\145' + chr(0b1100011) + chr(980 - 869) + chr(7191 - 7091) + chr(0b1100101))(chr(117) + '\164' + chr(8301 - 8199) + '\055' + '\070'), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001), 0o10)))]
return (xafqLlk3kkUe(SXOLrMavuUCe(b'\xff-\x97\xf4\xb3\x97,\xca\x16\xd6rN\xd7'), '\144' + chr(0b1100101) + chr(9382 - 9283) + chr(0b1101111) + chr(0b1011010 + 0o12) + chr(0b101011 + 0o72))(chr(3462 - 3345) + chr(10037 - 9921) + '\x66' + '\055' + '\x38'), H0tYDEJ9qY50, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
add
|
def add(attrs, inputs, proto_obj):
"""Adding two tensors"""
new_attr = {}
if 'broadcast' in attrs and attrs['broadcast'] == 1:
broadcast_axis = attrs['axis']
op_value = translation_utils._fix_broadcast('broadcast_add', inputs,
broadcast_axis, proto_obj)
return op_value, new_attr, inputs
return 'broadcast_add', new_attr, inputs
|
python
|
def add(attrs, inputs, proto_obj):
"""Adding two tensors"""
new_attr = {}
if 'broadcast' in attrs and attrs['broadcast'] == 1:
broadcast_axis = attrs['axis']
op_value = translation_utils._fix_broadcast('broadcast_add', inputs,
broadcast_axis, proto_obj)
return op_value, new_attr, inputs
return 'broadcast_add', new_attr, inputs
|
[
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":",
"broadcast_axis",
"=",
"attrs",
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"'axis'",
"]",
"op_value",
"=",
"translation_utils",
".",
"_fix_broadcast",
"(",
"'broadcast_add'",
",",
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",",
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",",
"proto_obj",
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"op_value",
",",
"new_attr",
",",
"inputs",
"return",
"'broadcast_add'",
",",
"new_attr",
",",
"inputs"
] |
Adding two tensors
|
[
"Adding",
"two",
"tensors"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L66-L75
|
train
|
Adds two tensors to the input 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(0b110000) + chr(0b100101 + 0o112) + chr(0b110001) + chr(0b110001) + chr(2799 - 2746), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b110011) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101111 + 0o100) + chr(0b110011) + '\x34' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(857 - 809) + '\064', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100 + 0o60), 38042 - 38034), ehT0Px3KOsy9(chr(0b110000) + chr(0b110100 + 0o73) + '\x31' + chr(1801 - 1752) + chr(0b110100), 29086 - 29078), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(0b110011) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(647 - 599) + chr(111) + chr(0b110010) + '\x35' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011001 + 0o26) + chr(0b11100 + 0o26) + chr(322 - 268) + chr(1574 - 1520), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10111 + 0o32) + chr(0b110011) + chr(1585 - 1533), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b110100 + 0o73) + chr(0b111 + 0o54) + chr(657 - 608) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000000 + 0o57) + chr(49) + chr(55) + chr(0b100100 + 0o15), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b11111 + 0o120) + chr(613 - 562) + '\x37' + chr(0b11 + 0o57), 39155 - 39147), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\067' + chr(0b110010 + 0o3), 36469 - 36461), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + chr(1398 - 1347) + chr(0b110010 + 0o1), 19378 - 19370), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(1761 - 1710) + '\x30' + chr(50), 64420 - 64412), ehT0Px3KOsy9('\060' + chr(111) + '\063' + '\061' + chr(745 - 691), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + chr(0b100111 + 0o17) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(1361 - 1313) + chr(0b101000 + 0o107) + chr(0b111 + 0o53) + '\064' + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(219 - 169) + chr(51) + chr(2317 - 2267), 0o10), ehT0Px3KOsy9('\x30' + chr(6783 - 6672) + chr(2084 - 2033) + '\063' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\x37' + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(459 - 407) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(48) + chr(1638 - 1584), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x36' + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10010 + 0o40) + '\064' + '\x32', 51872 - 51864), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(55) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101 + 0o55) + '\065' + chr(2801 - 2748), 41683 - 41675), ehT0Px3KOsy9('\060' + chr(0b100011 + 0o114) + '\063' + chr(0b11100 + 0o25) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(0b110000) + '\060', 57244 - 57236), ehT0Px3KOsy9(chr(234 - 186) + chr(11568 - 11457) + '\063' + chr(0b110000 + 0o3) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(658 - 547) + '\061' + chr(55) + '\x36', 0o10), ehT0Px3KOsy9(chr(136 - 88) + '\x6f' + chr(502 - 453) + chr(0b110100) + chr(0b1 + 0o60), 8028 - 8020), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(724 - 675) + chr(0b10110 + 0o33) + '\061', 7918 - 7910), ehT0Px3KOsy9('\060' + chr(0b10010 + 0o135) + chr(0b110010) + chr(0b110011) + '\x35', 44977 - 44969), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(53) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3385 - 3274) + chr(1664 - 1613) + chr(50) + chr(0b10000 + 0o42), 0b1000), ehT0Px3KOsy9(chr(2219 - 2171) + chr(0b1101111) + '\x33' + chr(765 - 717) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111011 + 0o64) + '\x33' + chr(0b1000 + 0o52) + chr(994 - 939), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + chr(0b110010) + chr(0b1 + 0o62) + chr(0b110110), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(53) + chr(1354 - 1306), 50122 - 50114)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'c'), chr(8138 - 8038) + chr(0b10011 + 0o122) + '\143' + '\x6f' + chr(100) + chr(4965 - 4864))(chr(117) + chr(7332 - 7216) + chr(0b1010 + 0o134) + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def uJ0q9cG5ZOR3(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
H0tYDEJ9qY50 = {}
if xafqLlk3kkUe(SXOLrMavuUCe(b'/\xae\x8e\xe5`/|\xdf\xc2'), chr(9272 - 9172) + chr(0b1001011 + 0o32) + '\x63' + chr(6549 - 6438) + '\x64' + chr(101))(chr(0b10100 + 0o141) + '\164' + chr(102) + chr(45) + '\x38') in oIhwMA96NShQ and oIhwMA96NShQ[xafqLlk3kkUe(SXOLrMavuUCe(b'/\xae\x8e\xe5`/|\xdf\xc2'), chr(8390 - 8290) + chr(5083 - 4982) + chr(323 - 224) + '\x6f' + '\x64' + chr(4004 - 3903))(chr(117) + chr(0b1110100) + chr(0b1010110 + 0o20) + chr(0b101101) + chr(1520 - 1464))] == ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001), 0b1000):
vmi55pThSAKg = oIhwMA96NShQ[xafqLlk3kkUe(SXOLrMavuUCe(b',\xa4\x88\xf7'), chr(100) + chr(0b111110 + 0o47) + chr(99) + '\157' + chr(0b1100100) + chr(8788 - 8687))('\165' + chr(0b1011111 + 0o25) + '\146' + chr(0b101101) + chr(56))]
NND9DL0wI5gx = e_2m_ddtWLQF._fix_broadcast(xafqLlk3kkUe(SXOLrMavuUCe(b'/\xae\x8e\xe5`/|\xdf\xc2\x03\xa9\x1d\x9e'), chr(100) + '\x65' + chr(0b1011101 + 0o6) + chr(111) + chr(8974 - 8874) + chr(0b1100101))(chr(0b1110101) + chr(1606 - 1490) + chr(8690 - 8588) + chr(369 - 324) + '\x38'), vXoupepMtCXU, vmi55pThSAKg, tKGh31ynuvmM)
return (NND9DL0wI5gx, H0tYDEJ9qY50, vXoupepMtCXU)
return (xafqLlk3kkUe(SXOLrMavuUCe(b'/\xae\x8e\xe5`/|\xdf\xc2\x03\xa9\x1d\x9e'), chr(912 - 812) + chr(101) + chr(0b1100011) + chr(6550 - 6439) + chr(2100 - 2000) + chr(0b1100101))(chr(0b110111 + 0o76) + '\164' + '\x66' + chr(0b101101) + '\x38'), H0tYDEJ9qY50, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
mean
|
def mean(attrs, inputs, proto_obj):
"""Mean of all the input tensors."""
concat_input = [symbol.expand_dims(op_input, axis=0) for op_input in inputs]
concat_sym = symbol.concat(*concat_input, dim=0)
mean_sym = symbol.mean(concat_sym, axis=0)
return mean_sym, attrs, inputs
|
python
|
def mean(attrs, inputs, proto_obj):
"""Mean of all the input tensors."""
concat_input = [symbol.expand_dims(op_input, axis=0) for op_input in inputs]
concat_sym = symbol.concat(*concat_input, dim=0)
mean_sym = symbol.mean(concat_sym, axis=0)
return mean_sym, attrs, inputs
|
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] |
Mean of all the input tensors.
|
[
"Mean",
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L110-L115
|
train
|
Mean of all the input tensors.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1000 + 0o147) + chr(0b10000 + 0o42) + '\x34' + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(4937 - 4826) + chr(0b110010) + chr(1331 - 1276) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(8646 - 8535) + '\x33' + '\x30' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(1122 - 1074) + chr(3239 - 3128) + '\062' + chr(0b110110) + chr(2841 - 2786), 0o10), ehT0Px3KOsy9(chr(566 - 518) + chr(0b1101000 + 0o7) + chr(1832 - 1783) + chr(1085 - 1035) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + '\x30' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(716 - 665) + chr(0b110010) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\061' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b110011 + 0o74) + chr(0b101 + 0o55) + chr(0b110010) + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\x37' + chr(0b110101), 20140 - 20132), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(1260 - 1212) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b10111 + 0o130) + chr(980 - 929) + chr(0b101111 + 0o1) + chr(858 - 805), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100001 + 0o16) + '\062' + '\x37' + '\x31', 0o10), ehT0Px3KOsy9(chr(95 - 47) + chr(1705 - 1594) + '\062' + chr(0b110111) + chr(55), 62108 - 62100), ehT0Px3KOsy9(chr(1352 - 1304) + chr(0b11110 + 0o121) + chr(1612 - 1562) + chr(352 - 298) + chr(0b11101 + 0o30), 20655 - 20647), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11110 + 0o26) + chr(0b110000), 16951 - 16943), ehT0Px3KOsy9(chr(48) + chr(12291 - 12180) + chr(0b110011) + chr(55) + chr(0b110001), 54074 - 54066), ehT0Px3KOsy9(chr(2292 - 2244) + '\x6f' + chr(1903 - 1852) + chr(0b100011 + 0o23) + '\064', 37827 - 37819), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10110 + 0o34) + chr(51) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(3105 - 2994) + chr(0b110011) + chr(0b110111) + chr(0b11000 + 0o36), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(470 - 415) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1961 - 1910) + '\x33' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(991 - 943) + '\157' + chr(0b10100 + 0o36), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(0b101100 + 0o13) + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(0b101 + 0o55) + chr(0b110101), 8), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + '\x31' + '\062' + chr(51), 56437 - 56429), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(49) + '\x31', 23227 - 23219), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10000 + 0o43) + '\x33' + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\x34' + '\064', 24834 - 24826), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + '\x30' + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\061' + chr(54), 36653 - 36645), ehT0Px3KOsy9('\x30' + chr(5453 - 5342) + '\064' + '\x37', 30777 - 30769), ehT0Px3KOsy9('\060' + chr(0b101 + 0o152) + '\x31' + chr(0b110001), 52854 - 52846), ehT0Px3KOsy9(chr(48) + chr(0b1000101 + 0o52) + chr(51) + '\x32' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(12263 - 12152) + chr(49) + chr(54) + chr(54), 28189 - 28181), ehT0Px3KOsy9(chr(2032 - 1984) + chr(111) + chr(50) + chr(0b110001) + chr(802 - 747), 44208 - 44200), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\x33' + chr(49), 8), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(0b11001 + 0o31) + chr(49) + chr(1923 - 1868), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + chr(53) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x89'), '\144' + chr(101) + chr(99) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b110 + 0o140) + chr(45) + chr(0b11011 + 0o35)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def aJhItC_Vawlw(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
N_uyZEKlYJbc = [Usr5ykvL2UZF.expand_dims(LftSELZZ4MYv, axis=ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x30', ord("\x08"))) for LftSELZZ4MYv in vXoupepMtCXU]
oaIcKKO592mE = Usr5ykvL2UZF.concat(*N_uyZEKlYJbc, dim=ehT0Px3KOsy9('\x30' + chr(0b1100110 + 0o11) + chr(394 - 346), 8))
bnjyjf7WGPxi = Usr5ykvL2UZF.aJhItC_Vawlw(oaIcKKO592mE, axis=ehT0Px3KOsy9(chr(48) + '\157' + '\x30', 8))
return (bnjyjf7WGPxi, oIhwMA96NShQ, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
argmax
|
def argmax(attrs, inputs, proto_obj):
"""Returns indices of the maximum values along an axis"""
axis = attrs.get('axis', 0)
keepdims = attrs.get('keepdims', 1)
argmax_op = symbol.argmax(inputs[0], axis=axis, keepdims=keepdims)
# onnx argmax operator always expects int64 as output type
cast_attrs = {'dtype': 'int64'}
return 'cast', cast_attrs, argmax_op
|
python
|
def argmax(attrs, inputs, proto_obj):
"""Returns indices of the maximum values along an axis"""
axis = attrs.get('axis', 0)
keepdims = attrs.get('keepdims', 1)
argmax_op = symbol.argmax(inputs[0], axis=axis, keepdims=keepdims)
# onnx argmax operator always expects int64 as output type
cast_attrs = {'dtype': 'int64'}
return 'cast', cast_attrs, argmax_op
|
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"'int64'",
"}",
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] |
Returns indices of the maximum values along an axis
|
[
"Returns",
"indices",
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"maximum",
"values",
"along",
"an",
"axis"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L146-L153
|
train
|
Returns indices of the maximum values along an axis
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1110 + 0o47) + chr(2251 - 2198), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11437 - 11326) + chr(49) + '\063' + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1541 - 1492) + chr(54) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(0b110010) + chr(0b100010 + 0o24), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(1183 - 1134) + chr(0b110000) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6137 - 6026) + chr(0b11 + 0o64) + chr(55), 37634 - 37626), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(12010 - 11899) + chr(503 - 453) + chr(0b0 + 0o62) + chr(1858 - 1810), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(282 - 230), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2519 - 2408) + chr(0b110001) + '\066' + '\067', 0o10), ehT0Px3KOsy9(chr(752 - 704) + chr(4265 - 4154) + chr(0b100110 + 0o13) + '\063' + chr(601 - 553), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1141 - 1091) + chr(539 - 489) + '\x30', 8), ehT0Px3KOsy9('\060' + chr(8375 - 8264) + '\x32' + '\x33', 0o10), ehT0Px3KOsy9(chr(993 - 945) + chr(6442 - 6331) + '\063' + chr(0b110100) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000100 + 0o53) + chr(0b110011) + chr(53) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(846 - 735) + chr(0b11010 + 0o27) + '\064' + chr(0b110000), 14654 - 14646), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(1310 - 1260) + chr(0b100101 + 0o16), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1101 + 0o46) + '\x33' + chr(50), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(1374 - 1326) + chr(0b101011 + 0o10), 22685 - 22677), ehT0Px3KOsy9('\x30' + chr(10989 - 10878) + '\062' + '\x34' + chr(50), 0b1000), ehT0Px3KOsy9(chr(2120 - 2072) + '\x6f' + chr(0b1010 + 0o51) + chr(0b110001) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + chr(0b101111 + 0o4) + chr(0b110100) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(1409 - 1356), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + chr(707 - 657) + chr(0b111 + 0o56) + chr(0b110110), 25187 - 25179), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1096 - 1043) + chr(1685 - 1635), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(9325 - 9214) + chr(50) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(0b100111 + 0o17) + chr(0b10100 + 0o43), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(1647 - 1595), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1408 - 1358) + chr(977 - 929) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + '\x35' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b101111 + 0o100) + chr(0b110011) + '\x34' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(54) + chr(1241 - 1192), 13801 - 13793), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + chr(0b110100) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(0b1100010 + 0o15) + chr(53) + chr(0b110101), 8), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(9674 - 9563) + chr(0b110011) + chr(0b101001 + 0o10) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1889 - 1837) + chr(0b110110), 34735 - 34727), ehT0Px3KOsy9(chr(48) + chr(0b110000 + 0o77) + chr(2139 - 2090) + '\063' + '\063', 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + chr(50) + chr(1447 - 1396), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2673 - 2620) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x03'), chr(6501 - 6401) + '\145' + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(101))('\165' + chr(0b1110100) + '\146' + chr(1438 - 1393) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZVhyXLrjMqpt(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
cRTh61qyvi24 = oIhwMA96NShQ.get(xafqLlk3kkUe(SXOLrMavuUCe(b'LW5\x07'), chr(0b10 + 0o142) + chr(101) + chr(7542 - 7443) + '\x6f' + chr(100) + chr(0b1100101))('\x75' + chr(1322 - 1206) + chr(102) + chr(0b1100 + 0o41) + '\070'), ehT0Px3KOsy9(chr(1194 - 1146) + chr(111) + chr(0b110000), 0b1000))
Ry8pJJxGu6c4 = oIhwMA96NShQ.get(xafqLlk3kkUe(SXOLrMavuUCe(b'FJ9\x04r+R\xe3'), chr(100) + chr(8333 - 8232) + chr(9639 - 9540) + '\157' + chr(4344 - 4244) + chr(101))(chr(0b111001 + 0o74) + '\x74' + '\146' + chr(45) + '\070'), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + chr(49), ord("\x08")))
wZq3JMe7n6al = Usr5ykvL2UZF.argmax(vXoupepMtCXU[ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10011 + 0o35), 8)], axis=cRTh61qyvi24, keepdims=Ry8pJJxGu6c4)
B0xmPBUaXWGO = {xafqLlk3kkUe(SXOLrMavuUCe(b'I[%\x04s'), chr(100) + chr(101) + chr(5583 - 5484) + '\157' + chr(100) + chr(0b1100101))(chr(0b10 + 0o163) + chr(116) + chr(4297 - 4195) + chr(45) + chr(56)): xafqLlk3kkUe(SXOLrMavuUCe(b'DA(B"'), chr(0b1100100) + '\145' + chr(99) + chr(11617 - 11506) + '\x64' + chr(0b1100101))(chr(2845 - 2728) + '\x74' + chr(0b1100110) + chr(0b1000 + 0o45) + chr(56))}
return (xafqLlk3kkUe(SXOLrMavuUCe(b'NN/\x00'), chr(100) + '\145' + chr(4951 - 4852) + chr(7090 - 6979) + '\144' + '\145')(chr(0b1110101) + chr(0b1101111 + 0o5) + chr(102) + chr(488 - 443) + '\x38'), B0xmPBUaXWGO, wZq3JMe7n6al)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
argmin
|
def argmin(attrs, inputs, proto_obj):
"""Returns indices of the minimum values along an axis."""
axis = attrs.get('axis', 0)
keepdims = attrs.get('keepdims', 1)
argmin_op = symbol.argmin(inputs[0], axis=axis, keepdims=keepdims)
# onnx argmax operator always expects int64 as output type
cast_attrs = {'dtype': 'int64'}
return 'cast', cast_attrs, argmin_op
|
python
|
def argmin(attrs, inputs, proto_obj):
"""Returns indices of the minimum values along an axis."""
axis = attrs.get('axis', 0)
keepdims = attrs.get('keepdims', 1)
argmin_op = symbol.argmin(inputs[0], axis=axis, keepdims=keepdims)
# onnx argmax operator always expects int64 as output type
cast_attrs = {'dtype': 'int64'}
return 'cast', cast_attrs, argmin_op
|
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] |
Returns indices of the minimum values along an axis.
|
[
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"an",
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L155-L162
|
train
|
Returns indices of the minimum values along an axis.
|
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) + '\x31' + '\x37' + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(1686 - 1637) + '\x32', 37477 - 37469), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\065' + chr(77 - 28), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3497 - 3386) + chr(0b101 + 0o55) + chr(0b110111) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1011100 + 0o23) + chr(50) + chr(48) + chr(0b110 + 0o54), 16090 - 16082), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010 + 0o1) + '\x35' + chr(0b101111 + 0o4), 13979 - 13971), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b110100) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101111 + 0o2) + '\064' + '\066', 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + '\x34' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101010 + 0o5) + chr(49) + chr(419 - 366) + chr(1516 - 1464), ord("\x08")), ehT0Px3KOsy9('\060' + chr(7524 - 7413) + chr(2135 - 2086) + '\x32' + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3668 - 3557) + '\063' + chr(0b10110 + 0o37) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(4893 - 4782) + chr(0b110101) + chr(1219 - 1168), 48111 - 48103), ehT0Px3KOsy9(chr(48) + '\157' + chr(1470 - 1421) + '\x30' + chr(0b110011 + 0o1), 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(49) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101101 + 0o5) + chr(0b10111 + 0o31) + chr(0b11111 + 0o30), 33678 - 33670), ehT0Px3KOsy9(chr(48) + chr(0b11000 + 0o127) + chr(0b100110 + 0o16) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100011 + 0o114) + chr(0b110011) + chr(1134 - 1083) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b0 + 0o61) + '\060' + '\x31', 0o10), ehT0Px3KOsy9(chr(1492 - 1444) + chr(1870 - 1759) + chr(0b110000 + 0o3) + '\065' + chr(0b100110 + 0o17), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + '\067' + chr(1044 - 994), 0o10), ehT0Px3KOsy9(chr(48) + chr(8494 - 8383) + '\066' + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(0b11000 + 0o34) + chr(0b10110 + 0o34), 22474 - 22466), ehT0Px3KOsy9('\x30' + chr(0b110001 + 0o76) + chr(0b11 + 0o60) + chr(0b100001 + 0o25) + chr(49), 59355 - 59347), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(970 - 921) + chr(53) + chr(50), 6145 - 6137), ehT0Px3KOsy9(chr(48) + chr(0b110111 + 0o70) + chr(49) + chr(1324 - 1271) + '\x32', 8), ehT0Px3KOsy9(chr(182 - 134) + chr(0b1101111) + chr(0b110001) + '\062' + '\066', 0b1000), ehT0Px3KOsy9(chr(1372 - 1324) + chr(4357 - 4246) + '\x32' + chr(761 - 707) + chr(52), 0o10), ehT0Px3KOsy9(chr(880 - 832) + chr(0b100 + 0o153) + '\x32' + chr(0b110101) + chr(52), 0o10), ehT0Px3KOsy9(chr(1658 - 1610) + chr(0b1101111) + chr(51) + '\x36' + chr(50), 0b1000), ehT0Px3KOsy9(chr(615 - 567) + chr(0b100110 + 0o111) + chr(0b1 + 0o64) + '\x30', 58311 - 58303), ehT0Px3KOsy9(chr(1686 - 1638) + '\157' + '\061' + chr(1913 - 1860), 49442 - 49434), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(1956 - 1845) + '\061' + chr(52) + chr(239 - 184), 17977 - 17969), ehT0Px3KOsy9('\060' + chr(0b1000100 + 0o53) + chr(0b110010) + chr(0b110010) + chr(0b100001 + 0o20), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101001 + 0o6) + chr(0b110010) + chr(0b1110 + 0o46) + chr(2371 - 2321), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1010111 + 0o30) + '\062' + chr(54) + chr(2561 - 2508), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\x37' + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(1789 - 1739) + chr(55) + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b110000) + chr(50), 8), ehT0Px3KOsy9(chr(811 - 763) + chr(0b10000 + 0o137) + '\x36' + '\x34', 3852 - 3844)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(10498 - 10387) + chr(0b110101) + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'Q'), '\144' + chr(10075 - 9974) + '\143' + chr(0b1101111) + chr(673 - 573) + chr(0b1100101 + 0o0))(chr(0b1110101) + chr(8382 - 8266) + chr(102) + chr(0b10011 + 0o32) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def KiNX7hYsNWok(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
cRTh61qyvi24 = oIhwMA96NShQ.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xb2\xc0\xce'), chr(100) + chr(101) + '\x63' + '\x6f' + chr(0b1010110 + 0o16) + '\x65')('\x75' + '\x74' + '\x66' + '\055' + chr(522 - 466)), ehT0Px3KOsy9('\x30' + '\x6f' + '\060', 0b1000))
Ry8pJJxGu6c4 = oIhwMA96NShQ.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\xaf\xcc\xcd\xe6\x82\x89\x15'), '\144' + chr(0b1110 + 0o127) + chr(99) + chr(0b110111 + 0o70) + '\144' + '\x65')(chr(11351 - 11234) + chr(0b1110100) + '\x66' + '\x2d' + '\x38'), ehT0Px3KOsy9(chr(48) + chr(9168 - 9057) + '\061', 15037 - 15029))
YGJaiX8Nw5nW = Usr5ykvL2UZF.argmin(vXoupepMtCXU[ehT0Px3KOsy9(chr(1258 - 1210) + chr(0b1010000 + 0o37) + chr(0b111 + 0o51), 8)], axis=cRTh61qyvi24, keepdims=Ry8pJJxGu6c4)
B0xmPBUaXWGO = {xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b\xbe\xd0\xcd\xe7'), '\x64' + '\145' + chr(0b1100011) + chr(0b100100 + 0o113) + '\144' + chr(101))('\165' + chr(1540 - 1424) + chr(4416 - 4314) + chr(723 - 678) + chr(0b101110 + 0o12)): xafqLlk3kkUe(SXOLrMavuUCe(b'\x16\xa4\xdd\x8b\xb6'), chr(0b1100100) + chr(101) + '\143' + '\157' + chr(271 - 171) + chr(101))('\x75' + chr(0b111011 + 0o71) + '\x66' + '\055' + '\x38')}
return (xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c\xab\xda\xc9'), chr(100) + '\x65' + '\143' + '\157' + chr(100) + chr(1287 - 1186))(chr(0b1010101 + 0o40) + chr(0b110100 + 0o100) + chr(0b1100110) + chr(603 - 558) + '\x38'), B0xmPBUaXWGO, YGJaiX8Nw5nW)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
maximum
|
def maximum(attrs, inputs, proto_obj):
"""
Elementwise maximum of arrays.
MXNet maximum compares only two symbols at a time.
ONNX can send more than two to compare.
Breaking into multiple mxnet ops to compare two symbols at a time
"""
if len(inputs) > 1:
mxnet_op = symbol.maximum(inputs[0], inputs[1])
for op_input in inputs[2:]:
mxnet_op = symbol.maximum(mxnet_op, op_input)
else:
mxnet_op = symbol.maximum(inputs[0], inputs[0])
return mxnet_op, attrs, inputs
|
python
|
def maximum(attrs, inputs, proto_obj):
"""
Elementwise maximum of arrays.
MXNet maximum compares only two symbols at a time.
ONNX can send more than two to compare.
Breaking into multiple mxnet ops to compare two symbols at a time
"""
if len(inputs) > 1:
mxnet_op = symbol.maximum(inputs[0], inputs[1])
for op_input in inputs[2:]:
mxnet_op = symbol.maximum(mxnet_op, op_input)
else:
mxnet_op = symbol.maximum(inputs[0], inputs[0])
return mxnet_op, attrs, inputs
|
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] |
Elementwise maximum of arrays.
MXNet maximum compares only two symbols at a time.
ONNX can send more than two to compare.
Breaking into multiple mxnet ops to compare two symbols at a time
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L164-L177
|
train
|
Elementwise maximum of arrays.
|
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(0b1010000 + 0o37) + '\x33' + chr(54) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(9077 - 8966) + chr(51) + '\x35' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1873 - 1823) + '\064' + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(0b110010) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(4501 - 4390) + '\067' + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(0b1001001 + 0o46) + '\063' + chr(0b110110) + chr(0b11001 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + chr(0b110011) + chr(55) + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(0b110110) + '\061', 0o10), ehT0Px3KOsy9(chr(1240 - 1192) + chr(0b1101111) + '\061' + chr(1872 - 1821) + chr(0b10010 + 0o45), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b1110 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + '\x31' + chr(0b110010) + chr(0b11011 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100100 + 0o13) + chr(1325 - 1274) + chr(0b110010) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(2223 - 2175) + '\x6f' + chr(0b100001 + 0o21) + chr(52) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(2361 - 2312) + chr(1923 - 1870), 0o10), ehT0Px3KOsy9(chr(48) + chr(4834 - 4723) + '\061' + '\065' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(229 - 181) + '\157' + '\x33' + '\062' + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10 + 0o61) + chr(0b11010 + 0o34) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(0b110001) + chr(2090 - 2040) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + '\x31' + chr(0b110001) + chr(0b110110), 47671 - 47663), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\066' + chr(0b11000 + 0o32), 0b1000), ehT0Px3KOsy9(chr(1663 - 1615) + '\157' + chr(0b110000 + 0o3) + '\x37' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b11011 + 0o124) + chr(0b110101) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b101010 + 0o7) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1739 - 1689) + chr(51) + chr(0b1101 + 0o46), 16296 - 16288), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2261 - 2210) + chr(53) + chr(0b11110 + 0o22), 0o10), ehT0Px3KOsy9('\060' + chr(8485 - 8374) + chr(51) + chr(0b110011) + chr(406 - 355), ord("\x08")), ehT0Px3KOsy9(chr(1537 - 1489) + chr(0b101100 + 0o103) + chr(2238 - 2189) + '\061' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\x34' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1110 + 0o50) + '\064', 63127 - 63119), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\x34' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + '\x31' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(9847 - 9736) + chr(53) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(9069 - 8958) + chr(0b1000 + 0o53) + chr(0b110000) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110010 + 0o75) + chr(444 - 394) + chr(1948 - 1900) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(405 - 294) + chr(1584 - 1534) + chr(0b101001 + 0o10) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(0b101101 + 0o102) + chr(0b110001) + chr(52) + chr(1943 - 1895), 0b1000), ehT0Px3KOsy9('\060' + chr(2175 - 2064) + chr(51) + chr(50) + '\x31', 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(0b110111) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b11000 + 0o34) + chr(53), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(3739 - 3628) + chr(2335 - 2282) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb'), chr(4836 - 4736) + chr(10069 - 9968) + '\143' + '\157' + '\144' + '\x65')(chr(0b1000000 + 0o65) + chr(0b1110100) + chr(0b1001011 + 0o33) + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def _dNSs6gxhn0f(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
if c2A0yzQpDQB3(vXoupepMtCXU) > ehT0Px3KOsy9(chr(48) + chr(0b111001 + 0o66) + chr(49), 0b1000):
gsbA0fiNotS4 = Usr5ykvL2UZF.maximum(vXoupepMtCXU[ehT0Px3KOsy9('\x30' + chr(257 - 146) + chr(1280 - 1232), 49332 - 49324)], vXoupepMtCXU[ehT0Px3KOsy9('\060' + '\157' + chr(0b110001), 8)])
for LftSELZZ4MYv in vXoupepMtCXU[ehT0Px3KOsy9(chr(1828 - 1780) + '\x6f' + '\x32', 25182 - 25174):]:
gsbA0fiNotS4 = Usr5ykvL2UZF.maximum(gsbA0fiNotS4, LftSELZZ4MYv)
else:
gsbA0fiNotS4 = Usr5ykvL2UZF.maximum(vXoupepMtCXU[ehT0Px3KOsy9(chr(48) + '\157' + '\060', 8)], vXoupepMtCXU[ehT0Px3KOsy9(chr(475 - 427) + '\157' + chr(48), 8)])
return (gsbA0fiNotS4, oIhwMA96NShQ, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
minimum
|
def minimum(attrs, inputs, proto_obj):
"""Elementwise minimum of arrays."""
# MXNet minimum compares only two symbols at a time.
# ONNX can send more than two to compare.
# Breaking into multiple mxnet ops to compare two symbols at a time
if len(inputs) > 1:
mxnet_op = symbol.minimum(inputs[0], inputs[1])
for op_input in inputs[2:]:
mxnet_op = symbol.minimum(mxnet_op, op_input)
else:
mxnet_op = symbol.minimum(inputs[0], inputs[0])
return mxnet_op, attrs, inputs
|
python
|
def minimum(attrs, inputs, proto_obj):
"""Elementwise minimum of arrays."""
# MXNet minimum compares only two symbols at a time.
# ONNX can send more than two to compare.
# Breaking into multiple mxnet ops to compare two symbols at a time
if len(inputs) > 1:
mxnet_op = symbol.minimum(inputs[0], inputs[1])
for op_input in inputs[2:]:
mxnet_op = symbol.minimum(mxnet_op, op_input)
else:
mxnet_op = symbol.minimum(inputs[0], inputs[0])
return mxnet_op, attrs, inputs
|
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] |
Elementwise minimum of arrays.
|
[
"Elementwise",
"minimum",
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"arrays",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L179-L190
|
train
|
Elementwise minimum of arrays.
|
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(1415 - 1367) + chr(111) + chr(0b110010) + chr(55), 29109 - 29101), ehT0Px3KOsy9(chr(48) + chr(8223 - 8112) + chr(51) + chr(0b100100 + 0o23) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b101000 + 0o107) + '\x31' + chr(0b110100) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(1438 - 1327) + chr(0b1001 + 0o52) + chr(0b110100) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + '\062' + chr(0b10010 + 0o41), 893 - 885), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1010 + 0o47) + chr(0b1011 + 0o46) + '\x32', 45600 - 45592), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1591 - 1540) + chr(0b110101) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111111 + 0o60) + chr(0b110010) + chr(49) + chr(783 - 731), ord("\x08")), ehT0Px3KOsy9(chr(1121 - 1073) + chr(0b1000101 + 0o52) + chr(1521 - 1472) + chr(49) + '\x33', 16074 - 16066), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\061' + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1795 - 1744) + chr(0b10101 + 0o40) + chr(0b11010 + 0o33), 8), ehT0Px3KOsy9(chr(48) + chr(7025 - 6914) + chr(0b110011) + '\x30' + chr(2086 - 2031), 2000 - 1992), ehT0Px3KOsy9('\060' + '\157' + chr(0b1100 + 0o45) + chr(49) + chr(50), 8), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b110000 + 0o77) + '\065' + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(5650 - 5539) + chr(0b100101 + 0o16) + chr(2567 - 2516) + chr(1376 - 1322), 35397 - 35389), ehT0Px3KOsy9(chr(0b110000) + chr(0b100100 + 0o113) + chr(0b100101 + 0o22), 54693 - 54685), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + chr(2583 - 2528) + chr(0b110001), 52626 - 52618), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(2353 - 2304) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + chr(50) + chr(51) + chr(0b101110 + 0o3), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b10010 + 0o41) + '\067' + '\x32', 0b1000), ehT0Px3KOsy9(chr(581 - 533) + '\x6f' + '\x37' + '\061', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b100110 + 0o13) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001011 + 0o44) + chr(0b110101) + '\060', 8), ehT0Px3KOsy9(chr(48) + chr(0b11110 + 0o121) + chr(0b110001) + chr(49) + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10101 + 0o34) + '\063' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1844 - 1789) + chr(2416 - 2363), 21164 - 21156), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\064' + chr(1418 - 1366), 52531 - 52523), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(0b110000) + chr(0b100101 + 0o15), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b111101 + 0o62) + chr(0b110011) + '\066' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(5786 - 5675) + chr(50) + '\x32' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b110101) + chr(55), 27539 - 27531), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + '\063' + chr(0b10101 + 0o41) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(51) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b110111) + chr(2906 - 2852), 0b1000), ehT0Px3KOsy9(chr(48) + chr(10235 - 10124) + chr(51) + chr(0b110110) + chr(50), 8), ehT0Px3KOsy9(chr(2189 - 2141) + chr(111) + chr(51) + '\060' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + '\066' + chr(2486 - 2435), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1011100 + 0o23) + chr(978 - 928) + chr(0b110010) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(12036 - 11925) + '\x32' + '\060' + '\066', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(560 - 507) + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'9'), chr(0b1011010 + 0o12) + '\145' + chr(0b1000110 + 0o35) + chr(849 - 738) + chr(6716 - 6616) + chr(4767 - 4666))(chr(0b1110101) + chr(0b1110100) + chr(1040 - 938) + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def YIAZqmKHfin_(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
if c2A0yzQpDQB3(vXoupepMtCXU) > ehT0Px3KOsy9(chr(2220 - 2172) + '\157' + chr(0b10100 + 0o35), 31012 - 31004):
gsbA0fiNotS4 = Usr5ykvL2UZF.minimum(vXoupepMtCXU[ehT0Px3KOsy9('\x30' + chr(0b10100 + 0o133) + '\060', 0o10)], vXoupepMtCXU[ehT0Px3KOsy9('\x30' + chr(111) + chr(49), 8)])
for LftSELZZ4MYv in vXoupepMtCXU[ehT0Px3KOsy9(chr(108 - 60) + '\x6f' + chr(485 - 435), 49857 - 49849):]:
gsbA0fiNotS4 = Usr5ykvL2UZF.minimum(gsbA0fiNotS4, LftSELZZ4MYv)
else:
gsbA0fiNotS4 = Usr5ykvL2UZF.minimum(vXoupepMtCXU[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10001 + 0o37), 8)], vXoupepMtCXU[ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + chr(48), 8)])
return (gsbA0fiNotS4, oIhwMA96NShQ, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
concat
|
def concat(attrs, inputs, proto_obj):
""" Joins input arrays along a given axis. """
new_attrs = translation_utils._fix_attribute_names(attrs, {'axis': 'dim'})
return 'concat', new_attrs, inputs
|
python
|
def concat(attrs, inputs, proto_obj):
""" Joins input arrays along a given axis. """
new_attrs = translation_utils._fix_attribute_names(attrs, {'axis': 'dim'})
return 'concat', new_attrs, inputs
|
[
"def",
"concat",
"(",
"attrs",
",",
"inputs",
",",
"proto_obj",
")",
":",
"new_attrs",
"=",
"translation_utils",
".",
"_fix_attribute_names",
"(",
"attrs",
",",
"{",
"'axis'",
":",
"'dim'",
"}",
")",
"return",
"'concat'",
",",
"new_attrs",
",",
"inputs"
] |
Joins input arrays along a given axis.
|
[
"Joins",
"input",
"arrays",
"along",
"a",
"given",
"axis",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L219-L222
|
train
|
Concatenates input arrays along a given axis.
|
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(11398 - 11287) + chr(0b110010) + chr(0b101100 + 0o6) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(49) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(55) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b100110 + 0o13), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\x34' + chr(0b110101), 49543 - 49535), ehT0Px3KOsy9('\060' + chr(0b11011 + 0o124) + chr(0b1101 + 0o52) + chr(2235 - 2181), ord("\x08")), ehT0Px3KOsy9(chr(1834 - 1786) + chr(111) + '\x31' + chr(51) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001100 + 0o43) + chr(0b10011 + 0o36), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10011 + 0o37) + chr(0b110010) + chr(55), 0o10), ehT0Px3KOsy9(chr(1276 - 1228) + chr(7312 - 7201) + '\065' + chr(1081 - 1031), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1110 + 0o141) + chr(0b110010) + chr(0b110011) + chr(48), 35430 - 35422), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\063' + chr(0b110 + 0o57), 0b1000), ehT0Px3KOsy9(chr(2017 - 1969) + chr(111) + chr(0b110001) + chr(0b110100) + chr(1326 - 1274), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100111 + 0o110) + chr(0b110101) + '\062', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(1475 - 1424) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1001110 + 0o41) + '\x32' + '\x33' + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\x35' + chr(1724 - 1673), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + '\060' + chr(53), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b1011 + 0o50) + chr(0b1 + 0o57), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(921 - 872) + chr(1007 - 953) + chr(49), 23064 - 23056), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + '\x31' + '\064' + '\060', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\066', 0o10), ehT0Px3KOsy9(chr(575 - 527) + chr(0b1101111) + chr(49) + '\066' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\x33' + '\067', 64232 - 64224), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b101110 + 0o3) + chr(0b11010 + 0o33), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(2293 - 2245) + chr(0b101110 + 0o4), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\064' + chr(1301 - 1249), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(1501 - 1451) + chr(0b101111 + 0o5), 8), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(0b110111) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + '\064' + '\x30', 8), ehT0Px3KOsy9(chr(653 - 605) + chr(0b1001011 + 0o44) + '\061' + chr(0b11011 + 0o32) + '\063', 8), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1011101 + 0o22) + '\061' + chr(0b10000 + 0o46) + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1011 + 0o144) + '\063' + '\x31' + '\x31', 0o10), ehT0Px3KOsy9(chr(713 - 665) + chr(0b1101111) + '\061' + chr(631 - 576), 0o10), ehT0Px3KOsy9(chr(896 - 848) + chr(111) + '\063' + chr(0b10111 + 0o31) + '\065', 8), ehT0Px3KOsy9('\060' + chr(3950 - 3839) + chr(49) + chr(0b110110) + chr(2304 - 2250), 8), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1001110 + 0o41) + '\063' + chr(2468 - 2415) + chr(897 - 846), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(0b110010) + chr(1860 - 1810), ord("\x08")), ehT0Px3KOsy9(chr(1747 - 1699) + '\x6f' + chr(51) + chr(1936 - 1887) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(485 - 437) + '\x6f' + chr(604 - 554) + chr(1863 - 1810) + chr(0b110100), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(11936 - 11825) + chr(53) + chr(0b100001 + 0o17), 37370 - 37362)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xba'), chr(0b1011101 + 0o7) + chr(0b1000011 + 0o42) + '\143' + '\x6f' + chr(0b110 + 0o136) + chr(0b1001011 + 0o32))(chr(6592 - 6475) + chr(0b1110100) + chr(102) + chr(362 - 317) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def n6iOk5pPXJg1(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
Oynw8flqk0TY = e_2m_ddtWLQF._fix_attribute_names(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'\xf55\xd7b'), chr(0b1 + 0o143) + chr(0b1001011 + 0o32) + chr(0b1101 + 0o126) + chr(0b1001101 + 0o42) + '\144' + '\145')(chr(0b1110101) + '\164' + '\146' + '\055' + chr(0b101000 + 0o20)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0$\xd3'), chr(0b1100100) + chr(6763 - 6662) + chr(1507 - 1408) + chr(0b100010 + 0o115) + chr(0b11101 + 0o107) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(0b10110 + 0o42))})
return (xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7"\xd0r\x04J'), chr(100) + chr(0b111010 + 0o53) + '\x63' + '\x6f' + chr(6361 - 6261) + chr(8036 - 7935))(chr(5405 - 5288) + chr(10292 - 10176) + '\x66' + chr(1187 - 1142) + '\x38'), Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
pad
|
def pad(attrs, inputs, proto_obj):
""" Add padding to input tensor"""
new_attrs = translation_utils._fix_attribute_names(attrs, {'pads' : 'pad_width',
'value' : 'constant_value'
})
new_attrs['pad_width'] = translation_utils._pad_sequence_fix(new_attrs.get('pad_width'))
return 'pad', new_attrs, inputs
|
python
|
def pad(attrs, inputs, proto_obj):
""" Add padding to input tensor"""
new_attrs = translation_utils._fix_attribute_names(attrs, {'pads' : 'pad_width',
'value' : 'constant_value'
})
new_attrs['pad_width'] = translation_utils._pad_sequence_fix(new_attrs.get('pad_width'))
return 'pad', new_attrs, inputs
|
[
"def",
"pad",
"(",
"attrs",
",",
"inputs",
",",
"proto_obj",
")",
":",
"new_attrs",
"=",
"translation_utils",
".",
"_fix_attribute_names",
"(",
"attrs",
",",
"{",
"'pads'",
":",
"'pad_width'",
",",
"'value'",
":",
"'constant_value'",
"}",
")",
"new_attrs",
"[",
"'pad_width'",
"]",
"=",
"translation_utils",
".",
"_pad_sequence_fix",
"(",
"new_attrs",
".",
"get",
"(",
"'pad_width'",
")",
")",
"return",
"'pad'",
",",
"new_attrs",
",",
"inputs"
] |
Add padding to input tensor
|
[
"Add",
"padding",
"to",
"input",
"tensor"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L241-L247
|
train
|
Adds padding to input tensor
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110101) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(51) + chr(1707 - 1659), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + '\063' + chr(0b10 + 0o57) + chr(0b11011 + 0o30), 34598 - 34590), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + '\067' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111 + 0o0) + chr(1091 - 1041) + chr(0b10101 + 0o33) + chr(0b101111 + 0o6), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(52) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(0b110101) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + '\x33' + chr(1687 - 1635) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(0b101 + 0o53), 60061 - 60053), ehT0Px3KOsy9(chr(0b110000) + chr(6530 - 6419) + '\061' + chr(48), 37015 - 37007), ehT0Px3KOsy9(chr(2168 - 2120) + chr(111) + chr(0b110111) + '\066', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b110000) + chr(358 - 310), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1110 + 0o141) + chr(1245 - 1194) + chr(1501 - 1453) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(2244 - 2196) + chr(0b1101111) + chr(51) + '\066' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(1547 - 1497) + chr(303 - 251) + chr(715 - 667), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1111 + 0o140) + chr(0b100000 + 0o21) + chr(0b11000 + 0o35) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1001011 + 0o44) + '\x31' + chr(0b110111) + '\x30', 9340 - 9332), ehT0Px3KOsy9(chr(0b110000) + chr(3509 - 3398) + chr(0b110001) + chr(52) + chr(151 - 101), 0o10), ehT0Px3KOsy9(chr(1891 - 1843) + '\157' + '\x31' + '\x35' + chr(0b11 + 0o57), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b110011) + chr(0b110100), 27737 - 27729), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + '\063' + '\x37', 0o10), ehT0Px3KOsy9(chr(455 - 407) + chr(0b110000 + 0o77) + chr(0b101110 + 0o4) + chr(0b110110) + chr(2245 - 2197), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10101 + 0o37) + chr(0b110000), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b100100 + 0o23) + chr(55), 57724 - 57716), ehT0Px3KOsy9('\x30' + chr(1633 - 1522) + chr(71 - 20) + '\x32' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(0b110010) + chr(0b110001) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1000011 + 0o54) + '\061' + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1010101 + 0o32) + chr(2328 - 2278) + chr(0b100100 + 0o16), 32784 - 32776), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(55) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(53) + chr(2771 - 2716), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2816 - 2705) + '\061' + chr(0b110111) + chr(0b1000 + 0o51), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\062' + chr(1454 - 1406), 0b1000), ehT0Px3KOsy9('\060' + chr(0b111011 + 0o64) + chr(0b110001) + '\067' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(491 - 443) + chr(3759 - 3648) + chr(0b0 + 0o61) + '\x33' + chr(0b10111 + 0o40), 46920 - 46912), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x34' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(53) + chr(0b101100 + 0o4), 8), ehT0Px3KOsy9(chr(516 - 468) + '\157' + '\061' + chr(52) + chr(0b100010 + 0o25), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(55) + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010010 + 0o35) + chr(50) + '\x30' + chr(52), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(8052 - 7941) + '\x35' + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x06'), chr(1043 - 943) + chr(0b1100101) + '\143' + chr(0b1101111) + '\x64' + chr(8274 - 8173))(chr(117) + '\164' + chr(0b11001 + 0o115) + chr(318 - 273) + chr(1261 - 1205)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def jq0C7ttmqXPS(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
Oynw8flqk0TY = e_2m_ddtWLQF._fix_attribute_names(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'Xy\xaf\x0c'), chr(4436 - 4336) + chr(0b1000011 + 0o42) + chr(99) + chr(4614 - 4503) + '\144' + chr(10174 - 10073))(chr(0b1110101) + chr(578 - 462) + chr(0b11001 + 0o115) + '\x2d' + '\070'): xafqLlk3kkUe(SXOLrMavuUCe(b'Xy\xaf \xf2I\xcd\x91h'), chr(9100 - 9000) + chr(101) + chr(0b100000 + 0o103) + '\157' + chr(0b10101 + 0o117) + '\x65')(chr(13536 - 13419) + chr(2369 - 2253) + chr(0b1001011 + 0o33) + chr(714 - 669) + chr(1255 - 1199)), xafqLlk3kkUe(SXOLrMavuUCe(b'^y\xa7\n\xe0'), '\144' + chr(548 - 447) + chr(0b1100011) + chr(111) + chr(100) + chr(0b1100101))(chr(0b100001 + 0o124) + chr(0b1110100) + '\x66' + chr(45) + '\070'): xafqLlk3kkUe(SXOLrMavuUCe(b'Kw\xa5\x0c\xf1A\xc7\x91_~_\xec\xb1\x97'), '\144' + '\x65' + chr(0b1100011) + '\x6f' + chr(100) + chr(0b1100101))(chr(5281 - 5164) + '\x74' + chr(9487 - 9385) + '\055' + chr(307 - 251))})
Oynw8flqk0TY[xafqLlk3kkUe(SXOLrMavuUCe(b'Xy\xaf \xf2I\xcd\x91h'), chr(1680 - 1580) + '\x65' + chr(0b1110 + 0o125) + '\157' + chr(0b1100100) + '\145')('\165' + chr(0b1011101 + 0o27) + chr(0b1100011 + 0o3) + chr(45) + '\x38')] = e_2m_ddtWLQF._pad_sequence_fix(Oynw8flqk0TY.get(xafqLlk3kkUe(SXOLrMavuUCe(b'Xy\xaf \xf2I\xcd\x91h'), chr(0b1100100) + chr(0b10011 + 0o122) + chr(0b1100011) + '\x6f' + '\144' + chr(0b1001101 + 0o30))('\x75' + '\x74' + chr(0b1100110) + chr(0b1001 + 0o44) + chr(2809 - 2753))))
return (xafqLlk3kkUe(SXOLrMavuUCe(b'Xy\xaf'), '\x64' + chr(0b1100101) + '\143' + chr(111) + '\144' + chr(0b1101 + 0o130))('\x75' + chr(116) + chr(10115 - 10013) + chr(0b100111 + 0o6) + chr(56)), Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
batch_norm
|
def batch_norm(attrs, inputs, proto_obj):
"""Batch normalization."""
new_attrs = translation_utils._fix_attribute_names(attrs, {'epsilon': 'eps',
'is_test': 'fix_gamma'})
new_attrs = translation_utils._remove_attributes(new_attrs,
['spatial', 'consumed_inputs'])
# Disable cuDNN BN only if epsilon from model is < than minimum cuDNN eps (1e-5)
cudnn_min_eps = 1e-5
cudnn_off = 0 if attrs.get('epsilon', cudnn_min_eps) >= cudnn_min_eps else 1
new_attrs = translation_utils._add_extra_attributes(new_attrs, {'cudnn_off': cudnn_off})
# in test mode "fix_gamma" should be unset.
new_attrs['fix_gamma'] = not attrs.get('is_test', 1)
return 'BatchNorm', new_attrs, inputs
|
python
|
def batch_norm(attrs, inputs, proto_obj):
"""Batch normalization."""
new_attrs = translation_utils._fix_attribute_names(attrs, {'epsilon': 'eps',
'is_test': 'fix_gamma'})
new_attrs = translation_utils._remove_attributes(new_attrs,
['spatial', 'consumed_inputs'])
# Disable cuDNN BN only if epsilon from model is < than minimum cuDNN eps (1e-5)
cudnn_min_eps = 1e-5
cudnn_off = 0 if attrs.get('epsilon', cudnn_min_eps) >= cudnn_min_eps else 1
new_attrs = translation_utils._add_extra_attributes(new_attrs, {'cudnn_off': cudnn_off})
# in test mode "fix_gamma" should be unset.
new_attrs['fix_gamma'] = not attrs.get('is_test', 1)
return 'BatchNorm', new_attrs, inputs
|
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] |
Batch normalization.
|
[
"Batch",
"normalization",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L253-L266
|
train
|
Batch normalization.
|
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(1133 - 1085) + '\157' + chr(0b110 + 0o56), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b101101 + 0o6) + chr(0b110111), 62807 - 62799), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\063' + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(2684 - 2632) + chr(0b100000 + 0o26), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3629 - 3518) + chr(0b110001) + '\x33' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\065' + chr(507 - 457), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(0b10010 + 0o37) + chr(54) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(54) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b110100) + chr(55), 62521 - 62513), ehT0Px3KOsy9(chr(667 - 619) + chr(0b10011 + 0o134) + chr(0b10100 + 0o35) + '\066' + chr(0b110100), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(52) + '\062', 61446 - 61438), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(5265 - 5154) + chr(135 - 80) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2167 - 2117) + chr(0b1011 + 0o47) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b0 + 0o62) + '\x37' + chr(51), 50205 - 50197), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\x35' + chr(0b110101), 53909 - 53901), ehT0Px3KOsy9(chr(48) + chr(0b1101010 + 0o5) + '\061' + '\063', 18913 - 18905), ehT0Px3KOsy9(chr(1158 - 1110) + chr(10957 - 10846) + chr(429 - 379) + '\060' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110010 + 0o75) + chr(0b11111 + 0o23) + chr(199 - 150) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1661 - 1611) + chr(1236 - 1188) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001), 11047 - 11039), ehT0Px3KOsy9('\060' + chr(111) + chr(2080 - 2031) + chr(0b110000) + chr(0b101101 + 0o7), 12131 - 12123), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10001 + 0o43) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(9820 - 9709) + chr(1766 - 1715) + chr(1396 - 1342) + chr(977 - 926), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1542 - 1493) + chr(0b1101 + 0o51) + '\062', 27739 - 27731), ehT0Px3KOsy9(chr(48) + chr(726 - 615) + '\063' + chr(1891 - 1841) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2235 - 2124) + chr(50) + chr(53) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + chr(53) + chr(0b11010 + 0o32), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + '\x33' + chr(52) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b110101) + chr(0b110010), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b110110) + chr(0b10110 + 0o34), 0o10), ehT0Px3KOsy9('\060' + chr(4462 - 4351) + chr(0b100100 + 0o16) + chr(2301 - 2248) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + '\063' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + chr(0b110001) + chr(53) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(6390 - 6279) + '\x31' + chr(0b110000) + chr(1301 - 1253), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11832 - 11721) + chr(2398 - 2348) + '\x32' + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(0b110001) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110110) + chr(0b10001 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(555 - 507) + chr(5856 - 5745) + chr(0b110011) + chr(0b1010 + 0o53) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110101) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b101001 + 0o12) + chr(1331 - 1280), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + '\x35' + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'*'), chr(100) + '\x65' + chr(0b1010 + 0o131) + chr(4233 - 4122) + chr(7451 - 7351) + chr(5802 - 5701))(chr(117) + '\x74' + '\x66' + '\x2d' + chr(0b11100 + 0o34)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def NA3RHDNXnGdK(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
Oynw8flqk0TY = e_2m_ddtWLQF._fix_attribute_names(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'a\xef\xed\x0f0\x85\x1a'), chr(0b100000 + 0o104) + chr(101) + '\x63' + '\157' + chr(0b110 + 0o136) + '\145')('\x75' + chr(4622 - 4506) + chr(102) + chr(593 - 548) + chr(56)): xafqLlk3kkUe(SXOLrMavuUCe(b'a\xef\xed'), '\x64' + '\145' + chr(7004 - 6905) + '\x6f' + '\x64' + chr(7470 - 7369))(chr(0b100 + 0o161) + '\164' + '\146' + chr(0b101101) + chr(2308 - 2252)), xafqLlk3kkUe(SXOLrMavuUCe(b'm\xec\xc1\x129\x99\x00'), '\x64' + chr(0b1011100 + 0o11) + chr(99) + chr(111) + chr(5049 - 4949) + chr(0b100 + 0o141))(chr(0b111 + 0o156) + chr(0b10 + 0o162) + '\146' + chr(509 - 464) + chr(0b111000)): xafqLlk3kkUe(SXOLrMavuUCe(b'b\xf6\xe69;\x8b\x19Z\x86'), chr(0b1100100) + chr(1789 - 1688) + chr(0b10101 + 0o116) + '\157' + chr(100) + '\x65')(chr(0b1000011 + 0o62) + '\x74' + chr(0b1100110) + chr(45) + chr(258 - 202))})
Oynw8flqk0TY = e_2m_ddtWLQF._remove_attributes(Oynw8flqk0TY, [xafqLlk3kkUe(SXOLrMavuUCe(b'w\xef\xff\x125\x8b\x18'), chr(100) + chr(5863 - 5762) + chr(0b1100011) + '\x6f' + chr(100) + chr(0b1100101))('\x75' + chr(0b100001 + 0o123) + chr(102) + chr(0b101101) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'g\xf0\xf0\x15)\x87\x11S\xb8\x1d\xccH\xe5\xcf\xde'), chr(246 - 146) + '\145' + '\x63' + chr(111) + chr(100) + chr(101))(chr(6626 - 6509) + chr(0b1101101 + 0o7) + chr(8580 - 8478) + chr(45) + chr(0b1000 + 0o60))])
nzn8MeJwT4gw = 1e-05
HpLOMozzEDom = ehT0Px3KOsy9(chr(1394 - 1346) + chr(0b101100 + 0o103) + chr(1336 - 1288), 20397 - 20389) if oIhwMA96NShQ.get(xafqLlk3kkUe(SXOLrMavuUCe(b'a\xef\xed\x0f0\x85\x1a'), chr(0b1100100) + chr(7618 - 7517) + chr(99) + chr(111) + chr(100) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(0b101110 + 0o70) + chr(45) + '\070'), nzn8MeJwT4gw) >= nzn8MeJwT4gw else ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001), 8)
Oynw8flqk0TY = e_2m_ddtWLQF._add_extra_attributes(Oynw8flqk0TY, {xafqLlk3kkUe(SXOLrMavuUCe(b'g\xea\xfa\x082\xb5\x1bQ\x81'), chr(1186 - 1086) + chr(101) + chr(99) + chr(111) + '\x64' + chr(5346 - 5245))(chr(0b1101111 + 0o6) + '\x74' + chr(0b1100110) + chr(1727 - 1682) + chr(0b100 + 0o64)): HpLOMozzEDom})
Oynw8flqk0TY[xafqLlk3kkUe(SXOLrMavuUCe(b'b\xf6\xe69;\x8b\x19Z\x86'), chr(0b1100100) + '\x65' + chr(3108 - 3009) + '\x6f' + chr(8756 - 8656) + chr(0b1100101))(chr(0b1110101) + chr(116) + '\x66' + chr(720 - 675) + chr(56))] = not oIhwMA96NShQ.get(xafqLlk3kkUe(SXOLrMavuUCe(b'm\xec\xc1\x129\x99\x00'), '\144' + '\145' + '\x63' + chr(0b111100 + 0o63) + '\144' + chr(195 - 94))(chr(117) + chr(0b1000110 + 0o56) + '\146' + '\055' + chr(0b110010 + 0o6)), ehT0Px3KOsy9('\x30' + '\157' + chr(49), 8))
return (xafqLlk3kkUe(SXOLrMavuUCe(b'F\xfe\xea\x054\xa4\x1bE\x8a'), chr(100) + '\145' + '\143' + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(0b111 + 0o156) + chr(0b1110100) + chr(102) + '\055' + chr(1081 - 1025)), Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
instance_norm
|
def instance_norm(attrs, inputs, proto_obj):
"""Instance Normalization."""
new_attrs = translation_utils._fix_attribute_names(attrs, {'epsilon' : 'eps'})
new_attrs['eps'] = attrs.get('epsilon', 1e-5)
return 'InstanceNorm', new_attrs, inputs
|
python
|
def instance_norm(attrs, inputs, proto_obj):
"""Instance Normalization."""
new_attrs = translation_utils._fix_attribute_names(attrs, {'epsilon' : 'eps'})
new_attrs['eps'] = attrs.get('epsilon', 1e-5)
return 'InstanceNorm', new_attrs, inputs
|
[
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"instance_norm",
"(",
"attrs",
",",
"inputs",
",",
"proto_obj",
")",
":",
"new_attrs",
"=",
"translation_utils",
".",
"_fix_attribute_names",
"(",
"attrs",
",",
"{",
"'epsilon'",
":",
"'eps'",
"}",
")",
"new_attrs",
"[",
"'eps'",
"]",
"=",
"attrs",
".",
"get",
"(",
"'epsilon'",
",",
"1e-5",
")",
"return",
"'InstanceNorm'",
",",
"new_attrs",
",",
"inputs"
] |
Instance Normalization.
|
[
"Instance",
"Normalization",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L268-L272
|
train
|
Instance Normalization.
|
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(52), 0b1000), ehT0Px3KOsy9(chr(212 - 164) + '\x6f' + chr(0b11100 + 0o27) + '\064' + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(2435 - 2382) + chr(54), 43864 - 43856), ehT0Px3KOsy9(chr(1541 - 1493) + chr(111) + chr(0b110010) + chr(50), 60783 - 60775), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(2322 - 2272) + chr(2010 - 1961), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(52) + chr(442 - 393), 19440 - 19432), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(2446 - 2396) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(344 - 233) + chr(2154 - 2104) + chr(2299 - 2249) + chr(0b110110), 60018 - 60010), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\062' + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(5260 - 5149) + chr(0b110011) + chr(2346 - 2292) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(50) + chr(0b11100 + 0o24), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(946 - 892) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2653 - 2542) + chr(49) + '\062' + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(1802 - 1747), 16508 - 16500), ehT0Px3KOsy9('\060' + chr(8122 - 8011) + '\063' + chr(1863 - 1813) + chr(0b10000 + 0o47), 0b1000), ehT0Px3KOsy9('\x30' + chr(6479 - 6368) + chr(0b110010) + chr(54) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(948 - 898) + chr(0b110000 + 0o4) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(0b110000) + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(11817 - 11706) + chr(49) + chr(0b110011) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(931 - 880) + '\064' + chr(0b101000 + 0o10), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1010001 + 0o36) + chr(0b110001) + chr(49) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(7071 - 6960) + '\062' + '\061' + chr(0b110011), 61901 - 61893), ehT0Px3KOsy9(chr(128 - 80) + chr(5592 - 5481) + '\062' + chr(0b11000 + 0o32) + '\x35', 40504 - 40496), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1011111 + 0o20) + '\x32' + '\x36', 8), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + '\x32' + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(55) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1000110 + 0o51) + chr(0b100100 + 0o15) + chr(0b110111) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11110 + 0o121) + '\062' + chr(50), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110000 + 0o6) + chr(1542 - 1493), 52815 - 52807), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + chr(181 - 132) + chr(1281 - 1229) + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10100 + 0o37) + chr(0b110100) + '\062', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110 + 0o54) + chr(0b110000) + chr(0b11 + 0o55), 45424 - 45416), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2016 - 1966) + chr(0b1111 + 0o44) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1001011 + 0o44) + chr(57 - 6) + chr(1983 - 1934), 11502 - 11494), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110000 + 0o2) + '\065', 3151 - 3143), ehT0Px3KOsy9(chr(1337 - 1289) + '\x6f' + '\x32' + chr(49) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(1159 - 1111) + chr(1331 - 1220) + chr(0b11000 + 0o31) + chr(0b100011 + 0o24) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b110101) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b110101) + '\066', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100101 + 0o20) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'*'), chr(0b1010 + 0o132) + chr(101) + '\143' + chr(0b1011111 + 0o20) + chr(6110 - 6010) + chr(0b1100101))('\x75' + '\164' + chr(102) + '\055' + chr(2345 - 2289)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def FEobd0bbF9xL(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
Oynw8flqk0TY = e_2m_ddtWLQF._fix_attribute_names(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'a\x92\xdd{\xfdNx'), '\x64' + '\x65' + '\143' + '\157' + chr(0b1100100) + '\145')(chr(0b1011000 + 0o35) + chr(0b110010 + 0o102) + '\146' + '\055' + '\070'): xafqLlk3kkUe(SXOLrMavuUCe(b'a\x92\xdd'), chr(0b101001 + 0o73) + chr(0b1101 + 0o130) + chr(99) + chr(7002 - 6891) + '\x64' + chr(0b1100011 + 0o2))(chr(117) + '\164' + chr(0b101 + 0o141) + chr(1348 - 1303) + '\070')})
Oynw8flqk0TY[xafqLlk3kkUe(SXOLrMavuUCe(b'a\x92\xdd'), chr(0b1000 + 0o134) + chr(101) + '\x63' + chr(111) + chr(0b111011 + 0o51) + chr(0b1100101))('\165' + '\164' + '\146' + chr(45) + chr(0b110110 + 0o2))] = oIhwMA96NShQ.get(xafqLlk3kkUe(SXOLrMavuUCe(b'a\x92\xdd{\xfdNx'), chr(0b1011100 + 0o10) + chr(0b10110 + 0o117) + chr(6017 - 5918) + '\157' + '\x64' + '\x65')(chr(0b1110101) + '\164' + '\x66' + '\055' + chr(0b111000)), 1e-05)
return (xafqLlk3kkUe(SXOLrMavuUCe(b'M\x8c\xddf\xf0Ou\xf3\xdd\x9e"\x1a'), '\144' + chr(6498 - 6397) + chr(0b1100011) + chr(8051 - 7940) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(8253 - 8137) + chr(0b1100110) + chr(45) + chr(0b111000)), Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
leaky_relu
|
def leaky_relu(attrs, inputs, proto_obj):
"""Leaky Relu function"""
if 'alpha' in attrs:
new_attrs = translation_utils._fix_attribute_names(attrs, {'alpha' : 'slope'})
else:
new_attrs = translation_utils._add_extra_attributes(attrs, {'slope': 0.01})
return 'LeakyReLU', new_attrs, inputs
|
python
|
def leaky_relu(attrs, inputs, proto_obj):
"""Leaky Relu function"""
if 'alpha' in attrs:
new_attrs = translation_utils._fix_attribute_names(attrs, {'alpha' : 'slope'})
else:
new_attrs = translation_utils._add_extra_attributes(attrs, {'slope': 0.01})
return 'LeakyReLU', new_attrs, inputs
|
[
"def",
"leaky_relu",
"(",
"attrs",
",",
"inputs",
",",
"proto_obj",
")",
":",
"if",
"'alpha'",
"in",
"attrs",
":",
"new_attrs",
"=",
"translation_utils",
".",
"_fix_attribute_names",
"(",
"attrs",
",",
"{",
"'alpha'",
":",
"'slope'",
"}",
")",
"else",
":",
"new_attrs",
"=",
"translation_utils",
".",
"_add_extra_attributes",
"(",
"attrs",
",",
"{",
"'slope'",
":",
"0.01",
"}",
")",
"return",
"'LeakyReLU'",
",",
"new_attrs",
",",
"inputs"
] |
Leaky Relu function
|
[
"Leaky",
"Relu",
"function"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L274-L280
|
train
|
Leaky Relu function
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(4364 - 4253) + chr(288 - 238) + chr(49) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1246 - 1197) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(53) + chr(49), 29871 - 29863), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(861 - 810) + chr(2639 - 2587) + chr(49), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b110100) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(381 - 333) + '\157' + chr(50) + '\x33' + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(0b11010 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010 + 0o145) + chr(0b110011) + chr(0b111 + 0o52) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x37' + '\067', 56985 - 56977), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(48) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(5264 - 5153) + '\x32' + chr(1661 - 1608) + chr(0b100101 + 0o13), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10110 + 0o131) + chr(651 - 602) + '\066' + '\x31', 0b1000), ehT0Px3KOsy9(chr(1545 - 1497) + chr(0b1101111) + chr(0b10010 + 0o43) + chr(0b11001 + 0o31), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(0b110000) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + chr(11560 - 11449) + chr(0b101001 + 0o12) + chr(1633 - 1582) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3919 - 3808) + chr(51) + '\063' + '\x31', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b11001 + 0o35) + '\062', 0b1000), ehT0Px3KOsy9(chr(1676 - 1628) + chr(0b1101111) + '\x32' + chr(1053 - 1005) + chr(1044 - 996), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1 + 0o60) + chr(0b10010 + 0o43) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11000 + 0o127) + '\062' + chr(48) + chr(2472 - 2417), 771 - 763), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + chr(0b110 + 0o53) + chr(1963 - 1908) + chr(0b1101 + 0o44), 63461 - 63453), ehT0Px3KOsy9(chr(1149 - 1101) + chr(111) + chr(0b110 + 0o53) + '\x36' + chr(0b10010 + 0o45), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(550 - 495) + chr(0b110001), 47049 - 47041), ehT0Px3KOsy9(chr(48) + chr(0b1000011 + 0o54) + chr(1571 - 1522) + '\063' + chr(0b10010 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(49) + chr(50) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(1197 - 1144) + chr(0b110100 + 0o3), 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b111000 + 0o67) + '\x37' + chr(0b1110 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(1292 - 1244) + chr(0b1101111) + chr(0b110011) + chr(0b110100) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(0b110011) + '\061' + chr(0b110 + 0o53), 8), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b100111 + 0o16) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1000011 + 0o54) + chr(923 - 874) + chr(0b110100) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2264 - 2214) + chr(0b110110 + 0o0) + chr(0b100000 + 0o24), 0o10), ehT0Px3KOsy9(chr(2065 - 2017) + '\x6f' + chr(0b10011 + 0o37) + chr(0b101100 + 0o11) + '\x32', 15535 - 15527), ehT0Px3KOsy9(chr(438 - 390) + chr(0b110111 + 0o70) + chr(1501 - 1452) + chr(0b110010) + '\065', 43971 - 43963), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + chr(988 - 938) + chr(0b10011 + 0o36) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(2293 - 2245) + '\157' + chr(1804 - 1754) + chr(0b1010 + 0o51) + chr(1903 - 1848), 1973 - 1965), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(594 - 543) + chr(96 - 48) + chr(54), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\x32' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(851 - 803) + chr(4198 - 4087) + chr(0b110011) + '\063' + '\061', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1000110 + 0o51) + chr(0b110101) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1'), chr(6401 - 6301) + chr(0b1100101) + chr(5241 - 5142) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b10100 + 0o140) + chr(0b0 + 0o146) + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def EWEjWLz9Daeg(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
if xafqLlk3kkUe(SXOLrMavuUCe(b'\xeeeY\x89\x84'), '\x64' + chr(7410 - 7309) + '\143' + chr(111) + chr(0b100110 + 0o76) + chr(101))(chr(0b1110101) + chr(7570 - 7454) + chr(8141 - 8039) + chr(45) + '\x38') in oIhwMA96NShQ:
Oynw8flqk0TY = e_2m_ddtWLQF._fix_attribute_names(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'\xeeeY\x89\x84'), chr(2697 - 2597) + chr(101) + chr(0b1100011) + chr(12239 - 12128) + '\x64' + chr(0b100000 + 0o105))(chr(1635 - 1518) + '\164' + chr(0b111100 + 0o52) + chr(0b101101) + chr(0b111000)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xfceF\x91\x80'), '\144' + chr(0b1100101) + '\143' + chr(0b1101111) + chr(5670 - 5570) + '\145')(chr(12352 - 12235) + chr(0b1110100) + '\146' + chr(0b100110 + 0o7) + chr(809 - 753))})
else:
Oynw8flqk0TY = e_2m_ddtWLQF._add_extra_attributes(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'\xfceF\x91\x80'), chr(0b1011100 + 0o10) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100000 + 0o4) + chr(0b1001101 + 0o30))('\x75' + chr(9393 - 9277) + chr(102) + '\055' + '\070'): 0.01})
return (xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3lH\x8a\x9c\xcet\x85j'), '\144' + chr(101) + chr(0b1100011) + '\157' + chr(100) + '\x65')(chr(12046 - 11929) + chr(116) + chr(102) + chr(0b101101) + chr(518 - 462)), Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
_elu
|
def _elu(attrs, inputs, proto_obj):
"""Elu function"""
if 'alpha' in attrs:
new_attrs = translation_utils._fix_attribute_names(attrs, {'alpha' : 'slope'})
else:
new_attrs = translation_utils._add_extra_attributes(attrs, {'slope': 1.0})
new_attrs = translation_utils._add_extra_attributes(new_attrs, {'act_type': 'elu'})
return 'LeakyReLU', new_attrs, inputs
|
python
|
def _elu(attrs, inputs, proto_obj):
"""Elu function"""
if 'alpha' in attrs:
new_attrs = translation_utils._fix_attribute_names(attrs, {'alpha' : 'slope'})
else:
new_attrs = translation_utils._add_extra_attributes(attrs, {'slope': 1.0})
new_attrs = translation_utils._add_extra_attributes(new_attrs, {'act_type': 'elu'})
return 'LeakyReLU', new_attrs, inputs
|
[
"def",
"_elu",
"(",
"attrs",
",",
"inputs",
",",
"proto_obj",
")",
":",
"if",
"'alpha'",
"in",
"attrs",
":",
"new_attrs",
"=",
"translation_utils",
".",
"_fix_attribute_names",
"(",
"attrs",
",",
"{",
"'alpha'",
":",
"'slope'",
"}",
")",
"else",
":",
"new_attrs",
"=",
"translation_utils",
".",
"_add_extra_attributes",
"(",
"attrs",
",",
"{",
"'slope'",
":",
"1.0",
"}",
")",
"new_attrs",
"=",
"translation_utils",
".",
"_add_extra_attributes",
"(",
"new_attrs",
",",
"{",
"'act_type'",
":",
"'elu'",
"}",
")",
"return",
"'LeakyReLU'",
",",
"new_attrs",
",",
"inputs"
] |
Elu function
|
[
"Elu",
"function"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L282-L289
|
train
|
Leaky ReLU function
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(519 - 471) + '\157' + chr(1381 - 1330) + chr(0b100010 + 0o22) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(51) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(9993 - 9882) + chr(51) + chr(0b110100) + chr(54), 5037 - 5029), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2042 - 1992) + chr(0b110010) + '\067', 15323 - 15315), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111 + 0o150) + chr(0b1 + 0o62) + chr(0b100 + 0o60) + chr(0b110001 + 0o5), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\064' + chr(319 - 266), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5683 - 5572) + '\x32' + chr(299 - 245) + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(816 - 705) + chr(51) + '\060' + chr(0b1001 + 0o51), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1411 - 1361) + chr(0b110000) + chr(52), 0b1000), ehT0Px3KOsy9(chr(67 - 19) + chr(111) + '\063' + '\061', 48174 - 48166), ehT0Px3KOsy9('\060' + chr(11705 - 11594) + chr(0b101 + 0o57) + '\x36', 0b1000), ehT0Px3KOsy9(chr(83 - 35) + '\x6f' + chr(0b11000 + 0o31) + chr(53) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\x35' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(1448 - 1399) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + '\x31' + chr(1341 - 1293), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000101 + 0o52) + chr(0b110000 + 0o3) + '\061' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(2182 - 2134) + chr(0b10100 + 0o133) + '\062' + chr(48) + chr(49), 57803 - 57795), ehT0Px3KOsy9(chr(48) + chr(468 - 357) + chr(0b10110 + 0o33) + '\x31' + '\062', 0o10), ehT0Px3KOsy9(chr(2044 - 1996) + '\157' + chr(924 - 873) + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(2098 - 2049) + chr(0b100110 + 0o13) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1207 - 1153) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1000 + 0o57) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b11 + 0o154) + chr(808 - 757) + chr(1045 - 993) + chr(0b101011 + 0o5), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(518 - 465) + '\061', 41767 - 41759), ehT0Px3KOsy9(chr(564 - 516) + chr(111) + '\062' + chr(53) + chr(0b110 + 0o56), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2061 - 2012) + '\x31' + '\060', 0o10), ehT0Px3KOsy9(chr(1087 - 1039) + chr(0b1101111) + '\064' + chr(0b101011 + 0o7), 0b1000), ehT0Px3KOsy9(chr(1307 - 1259) + chr(2991 - 2880) + '\x33' + chr(2590 - 2538), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b101111 + 0o7) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1000000 + 0o57) + chr(49) + chr(54) + chr(0b1000 + 0o54), 0o10), ehT0Px3KOsy9('\x30' + chr(0b101011 + 0o104) + chr(54) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10010 + 0o37) + chr(0b110101) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(3187 - 3076) + chr(49) + chr(0b110001) + chr(0b110010), 8), ehT0Px3KOsy9(chr(866 - 818) + chr(0b1101111) + chr(533 - 482) + '\064' + chr(986 - 932), 8), ehT0Px3KOsy9(chr(1476 - 1428) + chr(0b101011 + 0o104) + chr(54) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(969 - 919) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(853 - 805) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(49) + chr(0b100001 + 0o25) + chr(0b1110 + 0o46), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(53) + chr(48), 57300 - 57292)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xce'), chr(7246 - 7146) + '\145' + chr(0b110001 + 0o62) + '\157' + chr(0b1100100) + chr(0b1100101))('\x75' + chr(116) + '\x66' + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def TevWHe06OGvn(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
if xafqLlk3kkUe(SXOLrMavuUCe(b'\x81p\xab\x8e\xf6'), chr(309 - 209) + chr(101) + chr(1964 - 1865) + chr(0b111001 + 0o66) + '\x64' + chr(994 - 893))(chr(9232 - 9115) + chr(0b1100101 + 0o17) + '\146' + '\x2d' + chr(56)) in oIhwMA96NShQ:
Oynw8flqk0TY = e_2m_ddtWLQF._fix_attribute_names(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'\x81p\xab\x8e\xf6'), chr(100) + chr(101) + chr(0b10010 + 0o121) + chr(2995 - 2884) + '\x64' + chr(101))(chr(0b1100001 + 0o24) + chr(0b110010 + 0o102) + '\x66' + '\055' + chr(0b111000)): xafqLlk3kkUe(SXOLrMavuUCe(b'\x93p\xb4\x96\xf2'), chr(0b1011010 + 0o12) + chr(101) + '\143' + chr(0b1101111) + chr(0b1010001 + 0o23) + chr(101))(chr(0b110101 + 0o100) + chr(116) + '\146' + chr(936 - 891) + chr(56))})
else:
Oynw8flqk0TY = e_2m_ddtWLQF._add_extra_attributes(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'\x93p\xb4\x96\xf2'), chr(0b1000110 + 0o36) + chr(101) + chr(0b1100011) + '\157' + chr(0b1001111 + 0o25) + chr(101))(chr(0b1110101) + '\164' + chr(0b100000 + 0o106) + '\x2d' + '\070'): 1.0})
Oynw8flqk0TY = e_2m_ddtWLQF._add_extra_attributes(Oynw8flqk0TY, {xafqLlk3kkUe(SXOLrMavuUCe(b'\x81\x7f\xaf\xb9\xe3m\x96@'), chr(6336 - 6236) + chr(0b1100101) + '\x63' + chr(0b10 + 0o155) + chr(7254 - 7154) + '\145')(chr(117) + chr(1174 - 1058) + chr(5004 - 4902) + '\055' + chr(0b10000 + 0o50)): xafqLlk3kkUe(SXOLrMavuUCe(b'\x85p\xae'), chr(0b1001100 + 0o30) + '\145' + chr(0b101101 + 0o66) + '\x6f' + '\x64' + chr(0b1110 + 0o127))('\x75' + chr(0b100011 + 0o121) + '\x66' + chr(1047 - 1002) + chr(589 - 533))})
return (xafqLlk3kkUe(SXOLrMavuUCe(b'\xacy\xba\x8d\xeeF\x83i\xe6'), '\144' + chr(3608 - 3507) + chr(6500 - 6401) + chr(0b10100 + 0o133) + chr(0b11010 + 0o112) + chr(4978 - 4877))(chr(0b1001110 + 0o47) + chr(9752 - 9636) + chr(0b110011 + 0o63) + chr(1847 - 1802) + chr(0b110 + 0o62)), Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
_prelu
|
def _prelu(attrs, inputs, proto_obj):
"""PRelu function"""
new_attrs = translation_utils._add_extra_attributes(attrs, {'act_type': 'prelu'})
return 'LeakyReLU', new_attrs, inputs
|
python
|
def _prelu(attrs, inputs, proto_obj):
"""PRelu function"""
new_attrs = translation_utils._add_extra_attributes(attrs, {'act_type': 'prelu'})
return 'LeakyReLU', new_attrs, inputs
|
[
"def",
"_prelu",
"(",
"attrs",
",",
"inputs",
",",
"proto_obj",
")",
":",
"new_attrs",
"=",
"translation_utils",
".",
"_add_extra_attributes",
"(",
"attrs",
",",
"{",
"'act_type'",
":",
"'prelu'",
"}",
")",
"return",
"'LeakyReLU'",
",",
"new_attrs",
",",
"inputs"
] |
PRelu function
|
[
"PRelu",
"function"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L291-L294
|
train
|
Leaky ReLU function
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11000 + 0o33) + '\x30' + chr(2481 - 2431), 13979 - 13971), ehT0Px3KOsy9('\x30' + chr(4724 - 4613) + chr(52) + '\x37', 52338 - 52330), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x34' + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b111 + 0o150) + chr(0b100000 + 0o21) + '\063' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1477 - 1428) + chr(0b110001) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\064' + chr(2591 - 2540), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8485 - 8374) + chr(1754 - 1703) + chr(0b110011) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1711 - 1660) + chr(48) + '\064', 0o10), ehT0Px3KOsy9(chr(823 - 775) + chr(0b1001110 + 0o41) + chr(0b101000 + 0o13) + chr(1258 - 1203) + chr(0b110101 + 0o2), 0o10), ehT0Px3KOsy9(chr(48) + chr(10613 - 10502) + chr(49) + '\x34' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1528 - 1480) + chr(1288 - 1177) + chr(0b110001) + '\x35' + chr(0b110100), 61404 - 61396), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + '\065' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b11000 + 0o127) + '\062' + chr(0b10011 + 0o35), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b0 + 0o62) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(4388 - 4277) + chr(0b101110 + 0o5) + chr(51) + chr(0b101110 + 0o11), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\x33' + chr(2831 - 2777), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(904 - 854) + chr(0b10110 + 0o37) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(683 - 635) + chr(1196 - 1085) + chr(49) + '\x35' + chr(0b110100), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b100000 + 0o25) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000001 + 0o56) + chr(0b110011) + chr(0b110000) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(2706 - 2652), 0o10), ehT0Px3KOsy9(chr(1307 - 1259) + chr(111) + chr(50) + '\x30' + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b110011) + chr(52), 20177 - 20169), ehT0Px3KOsy9(chr(1245 - 1197) + chr(0b1101111 + 0o0) + chr(0b101111 + 0o2) + chr(48) + '\x30', 39423 - 39415), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b10010 + 0o44) + '\062', 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + chr(0b110010) + '\x36' + chr(0b1110 + 0o46), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10323 - 10212) + chr(0b110011) + '\061' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b110001) + chr(1773 - 1722), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10010 + 0o42) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(4067 - 3956) + '\x33' + chr(52) + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(52) + chr(0b1110 + 0o47), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(2377 - 2328) + '\062' + chr(801 - 748), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10522 - 10411) + '\061' + '\060' + chr(0b110000 + 0o5), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(0b100 + 0o56) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(0b1000 + 0o55) + chr(0b110000), 49526 - 49518), ehT0Px3KOsy9(chr(1891 - 1843) + chr(0b1101111) + '\064' + chr(0b11100 + 0o25), 14111 - 14103), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2403 - 2353) + chr(0b110110) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(1477 - 1422) + '\x35', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + '\060' + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(55) + '\067', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110101) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xec'), chr(100) + chr(5679 - 5578) + '\x63' + chr(111) + chr(0b100 + 0o140) + chr(6796 - 6695))(chr(11563 - 11446) + '\164' + chr(0b1100110) + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def zQWDAi_pCrLu(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
Oynw8flqk0TY = e_2m_ddtWLQF._add_extra_attributes(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3DV\x01<Z\xac\xa1'), chr(0b1100100) + chr(9362 - 9261) + '\143' + chr(111) + chr(911 - 811) + '\145')(chr(0b1100101 + 0o20) + chr(0b1000111 + 0o55) + chr(4033 - 3931) + chr(0b10100 + 0o31) + chr(56)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2UG2='), chr(0b1100100) + chr(0b100100 + 0o101) + chr(3655 - 3556) + chr(0b1101111) + chr(7251 - 7151) + chr(0b1 + 0o144))(chr(7874 - 7757) + chr(12736 - 12620) + chr(0b1100110) + chr(1481 - 1436) + chr(0b1010 + 0o56))})
return (xafqLlk3kkUe(SXOLrMavuUCe(b'\x8eBC51q\xb9\x88\xaa'), '\144' + '\145' + chr(5950 - 5851) + '\x6f' + '\144' + chr(0b1100101))(chr(0b1001000 + 0o55) + chr(0b1110100) + chr(5675 - 5573) + chr(0b101101) + '\070'), Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
_selu
|
def _selu(attrs, inputs, proto_obj):
"""Selu function"""
new_attrs = translation_utils._add_extra_attributes(attrs, {'act_type': 'selu'})
return 'LeakyReLU', new_attrs, inputs
|
python
|
def _selu(attrs, inputs, proto_obj):
"""Selu function"""
new_attrs = translation_utils._add_extra_attributes(attrs, {'act_type': 'selu'})
return 'LeakyReLU', new_attrs, inputs
|
[
"def",
"_selu",
"(",
"attrs",
",",
"inputs",
",",
"proto_obj",
")",
":",
"new_attrs",
"=",
"translation_utils",
".",
"_add_extra_attributes",
"(",
"attrs",
",",
"{",
"'act_type'",
":",
"'selu'",
"}",
")",
"return",
"'LeakyReLU'",
",",
"new_attrs",
",",
"inputs"
] |
Selu function
|
[
"Selu",
"function"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L296-L299
|
train
|
Leaky ReLU selection.
|
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(777 - 728) + chr(0b110110) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101101 + 0o2) + '\x31' + chr(444 - 394) + chr(270 - 221), 55604 - 55596), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(55) + chr(0b100110 + 0o17), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(55) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1010 + 0o47) + chr(51) + chr(53), 0b1000), ehT0Px3KOsy9(chr(2246 - 2198) + chr(111) + chr(0b110001) + chr(1289 - 1240) + '\067', 28963 - 28955), ehT0Px3KOsy9(chr(0b110000) + chr(4738 - 4627) + chr(49) + chr(0b101 + 0o53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b10010 + 0o135) + chr(50) + chr(0b10011 + 0o41) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101111 + 0o3) + chr(0b110010) + chr(0b110000), 28300 - 28292), ehT0Px3KOsy9(chr(48) + chr(0b111111 + 0o60) + chr(1736 - 1686) + '\x37' + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110000 + 0o1) + chr(52) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + '\063' + '\063' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + chr(0b110010) + '\066' + '\065', 49411 - 49403), ehT0Px3KOsy9(chr(48) + '\157' + chr(2229 - 2179) + '\x31' + chr(2090 - 2035), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2384 - 2333) + chr(886 - 838) + chr(53), 0b1000), ehT0Px3KOsy9(chr(841 - 793) + chr(0b10 + 0o155) + chr(0b110001) + chr(54) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(49) + chr(0b100000 + 0o23), 16633 - 16625), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(10054 - 9943) + '\063' + '\x30', 19247 - 19239), ehT0Px3KOsy9(chr(1482 - 1434) + chr(0b1101111) + chr(0b110001) + chr(0b10000 + 0o43) + chr(2163 - 2109), 32681 - 32673), ehT0Px3KOsy9('\x30' + chr(111) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(0b110001) + chr(49) + chr(583 - 528), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11011 + 0o27) + chr(0b110000) + '\066', 5197 - 5189), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(0b1111 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3525 - 3414) + chr(51) + chr(51) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111 + 0o0) + chr(0b110001) + '\x32' + chr(51), 62007 - 61999), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101000 + 0o7) + chr(2468 - 2418) + chr(0b10011 + 0o40) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1793 - 1745) + chr(111) + chr(0b110001) + '\062' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11101 + 0o24) + chr(51) + chr(0b0 + 0o64), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(1147 - 1099) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + chr(0b110011) + '\x34' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1010 + 0o145) + chr(0b110111) + chr(0b10000 + 0o43), 27534 - 27526), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\x32' + '\x30', 0b1000), ehT0Px3KOsy9(chr(2166 - 2118) + '\157' + chr(50) + chr(1504 - 1454) + chr(1379 - 1330), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(691 - 642) + chr(0b101001 + 0o13) + chr(48), 3105 - 3097), ehT0Px3KOsy9('\060' + chr(8643 - 8532) + '\x33' + chr(48) + chr(51), 60263 - 60255), ehT0Px3KOsy9(chr(0b110000) + chr(7325 - 7214) + chr(50) + '\060' + chr(374 - 323), 62153 - 62145), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110101) + chr(2185 - 2132), 26729 - 26721), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\060', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(758 - 706) + '\x31', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + '\065' + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'^'), '\x64' + '\145' + chr(0b1010010 + 0o21) + '\x6f' + chr(6124 - 6024) + chr(0b1100101))(chr(4630 - 4513) + chr(1932 - 1816) + chr(102) + chr(746 - 701) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def T_sxIwYEjKdT(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
Oynw8flqk0TY = e_2m_ddtWLQF._add_extra_attributes(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'\x112I\xe7)6x\xc5'), '\144' + chr(0b1100101) + chr(0b1100001 + 0o2) + '\157' + chr(706 - 606) + chr(4072 - 3971))('\165' + chr(0b100011 + 0o121) + chr(102) + '\x2d' + chr(1357 - 1301)): xafqLlk3kkUe(SXOLrMavuUCe(b'\x034Q\xcd'), chr(0b1100100) + '\x65' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(4852 - 4751))(chr(117) + chr(116) + chr(0b101110 + 0o70) + chr(0b10100 + 0o31) + chr(0b111000))})
return (xafqLlk3kkUe(SXOLrMavuUCe(b'<4\\\xd3$\x1dm\xec\xc5'), chr(100) + chr(0b1000000 + 0o45) + chr(6424 - 6325) + '\x6f' + chr(0b1011011 + 0o11) + chr(0b1100101))(chr(117) + chr(116) + chr(7042 - 6940) + chr(0b101101) + '\x38'), Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
softmax
|
def softmax(attrs, inputs, proto_obj):
"""Softmax function."""
if 'axis' not in attrs:
attrs = translation_utils._add_extra_attributes(attrs, {'axis': 1})
return 'softmax', attrs, inputs
|
python
|
def softmax(attrs, inputs, proto_obj):
"""Softmax function."""
if 'axis' not in attrs:
attrs = translation_utils._add_extra_attributes(attrs, {'axis': 1})
return 'softmax', attrs, inputs
|
[
"def",
"softmax",
"(",
"attrs",
",",
"inputs",
",",
"proto_obj",
")",
":",
"if",
"'axis'",
"not",
"in",
"attrs",
":",
"attrs",
"=",
"translation_utils",
".",
"_add_extra_attributes",
"(",
"attrs",
",",
"{",
"'axis'",
":",
"1",
"}",
")",
"return",
"'softmax'",
",",
"attrs",
",",
"inputs"
] |
Softmax function.
|
[
"Softmax",
"function",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L301-L305
|
train
|
Softmax 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('\x30' + chr(111) + chr(50) + chr(0b0 + 0o63) + chr(2028 - 1979), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(50) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + chr(49) + chr(1024 - 974) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100000 + 0o27) + chr(50), 0b1000), ehT0Px3KOsy9(chr(220 - 172) + chr(7766 - 7655) + chr(0b110010 + 0o4), 47435 - 47427), ehT0Px3KOsy9(chr(0b110000) + chr(6329 - 6218) + chr(50) + chr(0b1111 + 0o44) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(1661 - 1613) + chr(6023 - 5912) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b0 + 0o157) + chr(49) + '\064' + chr(865 - 810), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(8686 - 8575) + chr(1599 - 1549) + '\x36' + chr(661 - 608), ord("\x08")), ehT0Px3KOsy9(chr(243 - 195) + '\157' + chr(0b110110 + 0o1) + chr(0b100011 + 0o24), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(538 - 490) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(619 - 571) + chr(7782 - 7671) + '\x32' + '\062' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1111 + 0o44) + chr(0b110000) + chr(1247 - 1193), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(0b100000 + 0o22) + '\060' + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(588 - 538), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\x37' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1799 - 1750) + chr(0b110011) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(0b101100 + 0o5) + chr(55) + '\x32', 0b1000), ehT0Px3KOsy9(chr(277 - 229) + '\157' + '\x31' + chr(2120 - 2072) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + chr(0b101001 + 0o106) + '\x33' + '\x35' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\064' + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b110111) + chr(796 - 743), 3610 - 3602), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1938 - 1889) + chr(0b110111 + 0o0) + chr(0b101001 + 0o15), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(54) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b111 + 0o54) + chr(1246 - 1197) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(225 - 177) + chr(977 - 866) + chr(2400 - 2351) + chr(0b110111) + '\x32', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(50) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(5554 - 5443) + '\061' + '\061' + chr(1321 - 1270), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b101100 + 0o5) + '\065', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b110111) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(812 - 764) + chr(6994 - 6883) + chr(53) + '\x33', 0b1000), ehT0Px3KOsy9(chr(335 - 287) + chr(7388 - 7277) + chr(1322 - 1273) + chr(0b110101) + chr(804 - 752), 0o10), ehT0Px3KOsy9('\x30' + chr(10364 - 10253) + chr(50) + chr(280 - 229), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(49) + chr(50) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(629 - 581) + chr(0b11100 + 0o123) + '\061' + chr(0b110101) + chr(535 - 480), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000011 + 0o54) + '\063' + '\x30' + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + '\063' + chr(1914 - 1866), 0o10), ehT0Px3KOsy9(chr(1501 - 1453) + chr(111) + '\062' + chr(50) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9181 - 9070) + chr(50) + chr(0b110110) + '\060', 0o10), ehT0Px3KOsy9(chr(1160 - 1112) + '\157' + '\x32' + chr(1160 - 1111) + chr(0b110010), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + chr(53) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7'), chr(7686 - 7586) + chr(0b1100101) + '\x63' + chr(10921 - 10810) + '\144' + chr(0b111111 + 0o46))(chr(117) + '\164' + chr(0b1010010 + 0o24) + chr(0b10100 + 0o31) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def QtELI480CaHh(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
if xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xe88I'), '\144' + '\x65' + chr(9564 - 9465) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(0b1100010 + 0o23) + chr(7642 - 7526) + chr(0b110110 + 0o60) + '\x2d' + chr(56)) not in oIhwMA96NShQ:
oIhwMA96NShQ = e_2m_ddtWLQF._add_extra_attributes(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xe88I'), '\144' + chr(6346 - 6245) + chr(0b100011 + 0o100) + chr(0b101101 + 0o102) + '\144' + '\x65')('\x75' + chr(6899 - 6783) + chr(0b111100 + 0o52) + '\055' + chr(0b100001 + 0o27)): ehT0Px3KOsy9(chr(108 - 60) + '\157' + '\x31', ord("\x08"))})
return (xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xff7Nk\xff}'), chr(0b100110 + 0o76) + chr(2770 - 2669) + chr(7946 - 7847) + '\x6f' + chr(9649 - 9549) + '\145')('\x75' + '\164' + chr(1755 - 1653) + chr(0b0 + 0o55) + chr(2490 - 2434)), oIhwMA96NShQ, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
softplus
|
def softplus(attrs, inputs, proto_obj):
"""Applies the sofplus activation function element-wise to the input."""
new_attrs = translation_utils._add_extra_attributes(attrs, {'act_type' : 'softrelu'})
return 'Activation', new_attrs, inputs
|
python
|
def softplus(attrs, inputs, proto_obj):
"""Applies the sofplus activation function element-wise to the input."""
new_attrs = translation_utils._add_extra_attributes(attrs, {'act_type' : 'softrelu'})
return 'Activation', new_attrs, inputs
|
[
"def",
"softplus",
"(",
"attrs",
",",
"inputs",
",",
"proto_obj",
")",
":",
"new_attrs",
"=",
"translation_utils",
".",
"_add_extra_attributes",
"(",
"attrs",
",",
"{",
"'act_type'",
":",
"'softrelu'",
"}",
")",
"return",
"'Activation'",
",",
"new_attrs",
",",
"inputs"
] |
Applies the sofplus activation function element-wise to the input.
|
[
"Applies",
"the",
"sofplus",
"activation",
"function",
"element",
"-",
"wise",
"to",
"the",
"input",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L312-L315
|
train
|
Applies the sofplus activation function element - wise to the input.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1011000 + 0o27) + '\062' + '\x32' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\064' + chr(0b111 + 0o51), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(50) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1003 - 954) + chr(0b110000) + '\x31', 21564 - 21556), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(0b110000) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(1597 - 1549) + chr(400 - 349), 12296 - 12288), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(1686 - 1636) + chr(0b0 + 0o66), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + chr(0b110001) + chr(0b11000 + 0o34) + chr(0b11000 + 0o31), 29704 - 29696), ehT0Px3KOsy9(chr(746 - 698) + chr(0b1011111 + 0o20) + chr(1205 - 1156) + chr(0b110000) + '\x37', 56485 - 56477), ehT0Px3KOsy9('\x30' + chr(0b1100000 + 0o17) + chr(2459 - 2409) + '\061' + chr(1006 - 957), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b100101 + 0o13) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\067' + chr(53), 56458 - 56450), ehT0Px3KOsy9('\x30' + chr(10899 - 10788) + chr(0b110010 + 0o1) + chr(0b11010 + 0o30), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b110111) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(267 - 219) + chr(50), 8), ehT0Px3KOsy9('\060' + chr(10047 - 9936) + chr(0b110001) + chr(2231 - 2182) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(0b100000 + 0o22) + '\x35' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(9226 - 9115) + '\x31' + chr(0b110100) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + '\x32' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001101 + 0o42) + chr(2553 - 2502) + chr(2929 - 2874) + '\065', 0o10), ehT0Px3KOsy9(chr(573 - 525) + chr(0b1101111) + chr(0b110011) + chr(0b1100 + 0o52) + chr(2353 - 2302), 0b1000), ehT0Px3KOsy9(chr(709 - 661) + chr(0b1101111) + chr(0b110111) + chr(0b110101), 52500 - 52492), ehT0Px3KOsy9('\x30' + chr(4114 - 4003) + '\061' + '\x36' + chr(0b1110 + 0o42), ord("\x08")), ehT0Px3KOsy9('\060' + chr(2670 - 2559) + '\x33' + chr(0b11001 + 0o27) + '\062', 8), ehT0Px3KOsy9(chr(1936 - 1888) + chr(111) + chr(0b110001) + chr(0b110111) + chr(1423 - 1374), 0b1000), ehT0Px3KOsy9(chr(1002 - 954) + chr(111) + chr(0b110010) + chr(50) + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1497 - 1447) + chr(2885 - 2831) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001100 + 0o43) + chr(0b100011 + 0o16) + '\x30' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1999 - 1950) + chr(192 - 137) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\x35' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(54) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011111 + 0o20) + chr(0b110011) + chr(52) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b10100 + 0o43) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(0b110111), 27040 - 27032), ehT0Px3KOsy9('\x30' + chr(111) + chr(1309 - 1260) + chr(0b110111) + chr(2273 - 2223), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + chr(2381 - 2328) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2409 - 2355) + chr(1330 - 1277), 34152 - 34144), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(0b101010 + 0o14) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9592 - 9481) + chr(781 - 732) + chr(51) + '\x37', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(8871 - 8760) + chr(53) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe'), chr(0b101000 + 0o74) + chr(0b1100101) + chr(99) + '\x6f' + '\x64' + chr(0b1100101))('\165' + '\164' + '\x66' + chr(0b11111 + 0o16) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def U6t_Y5RzEQqI(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
Oynw8flqk0TY = e_2m_ddtWLQF._add_extra_attributes(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1C \x1e\xf5:\xa6\x04'), chr(0b1100100) + chr(8606 - 8505) + chr(0b1100 + 0o127) + '\157' + chr(7193 - 7093) + '\x65')('\165' + chr(0b1010001 + 0o43) + chr(102) + chr(1756 - 1711) + chr(56)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3O25\xf3&\xba\x14'), chr(7024 - 6924) + '\x65' + '\143' + '\x6f' + chr(0b1011010 + 0o12) + chr(0b1100101))(chr(0b1001100 + 0o51) + chr(0b111101 + 0o67) + chr(102) + '\055' + chr(141 - 85))})
return (xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1C (\xf7"\xa2\x08(\xe7'), chr(100) + chr(4063 - 3962) + chr(0b1100011) + chr(5401 - 5290) + chr(7995 - 7895) + chr(0b11100 + 0o111))(chr(0b11000 + 0o135) + '\x74' + chr(102) + '\055' + chr(56)), Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
conv
|
def conv(attrs, inputs, proto_obj):
"""Compute N-D convolution on (N+2)-D input."""
new_attrs = translation_utils._fix_attribute_names(attrs, {'kernel_shape' : 'kernel',
'strides' : 'stride',
'pads': 'pad',
'dilations': 'dilate',
'group': 'num_group'})
new_attrs = translation_utils._add_extra_attributes(new_attrs, {'num_group' : 1})
new_attrs = translation_utils._fix_bias('Convolution', new_attrs, len(inputs))
new_attrs = translation_utils._fix_channels('Convolution', new_attrs, inputs, proto_obj)
kernel = new_attrs['kernel']
stride = new_attrs['stride'] if 'stride' in new_attrs else []
padding = new_attrs['pad'] if 'pad' in new_attrs else []
dilations = new_attrs['dilate'] if 'dilate' in new_attrs else []
num_filter = new_attrs['num_filter']
num_group = new_attrs['num_group']
no_bias = new_attrs['no_bias'] if 'no_bias' in new_attrs else 0
bias = None if no_bias is True else inputs[2]
# Unlike ONNX, MXNet's convolution operator does not support asymmetric padding, so we first
# use 'Pad' operator, which supports asymmetric padding. Then use the convolution operator.
pad_width = (0, 0, 0, 0) + translation_utils._pad_sequence_fix(padding, kernel_dim=len(kernel))
pad_op = symbol.pad(inputs[0], mode='constant', pad_width=pad_width)
conv_op = symbol.Convolution(pad_op, inputs[1], bias,
kernel=kernel, stride=stride, dilate=dilations,
num_filter=num_filter, num_group=num_group, no_bias=no_bias)
return conv_op, new_attrs, inputs
|
python
|
def conv(attrs, inputs, proto_obj):
"""Compute N-D convolution on (N+2)-D input."""
new_attrs = translation_utils._fix_attribute_names(attrs, {'kernel_shape' : 'kernel',
'strides' : 'stride',
'pads': 'pad',
'dilations': 'dilate',
'group': 'num_group'})
new_attrs = translation_utils._add_extra_attributes(new_attrs, {'num_group' : 1})
new_attrs = translation_utils._fix_bias('Convolution', new_attrs, len(inputs))
new_attrs = translation_utils._fix_channels('Convolution', new_attrs, inputs, proto_obj)
kernel = new_attrs['kernel']
stride = new_attrs['stride'] if 'stride' in new_attrs else []
padding = new_attrs['pad'] if 'pad' in new_attrs else []
dilations = new_attrs['dilate'] if 'dilate' in new_attrs else []
num_filter = new_attrs['num_filter']
num_group = new_attrs['num_group']
no_bias = new_attrs['no_bias'] if 'no_bias' in new_attrs else 0
bias = None if no_bias is True else inputs[2]
# Unlike ONNX, MXNet's convolution operator does not support asymmetric padding, so we first
# use 'Pad' operator, which supports asymmetric padding. Then use the convolution operator.
pad_width = (0, 0, 0, 0) + translation_utils._pad_sequence_fix(padding, kernel_dim=len(kernel))
pad_op = symbol.pad(inputs[0], mode='constant', pad_width=pad_width)
conv_op = symbol.Convolution(pad_op, inputs[1], bias,
kernel=kernel, stride=stride, dilate=dilations,
num_filter=num_filter, num_group=num_group, no_bias=no_bias)
return conv_op, new_attrs, inputs
|
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] |
Compute N-D convolution on (N+2)-D input.
|
[
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L317-L346
|
train
|
Compute N - D convolution on input.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8029 - 7918) + '\x33' + '\060' + '\063', 53207 - 53199), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b10110 + 0o41) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\067' + '\066', 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b110110 + 0o71) + chr(0b11001 + 0o32) + chr(55) + chr(433 - 382), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b1011 + 0o45), 0o10), ehT0Px3KOsy9(chr(1898 - 1850) + '\x6f' + '\x31' + chr(352 - 303) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11001 + 0o30) + '\063' + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010001 + 0o36) + chr(1942 - 1891) + '\x33' + '\x30', 8501 - 8493), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + chr(0b110111) + '\067', 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + '\066' + chr(0b1110 + 0o43), 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + chr(0b11011 + 0o33) + '\x31', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101 + 0o54) + chr(51) + '\060', 0o10), ehT0Px3KOsy9(chr(2199 - 2151) + chr(0b1101111) + '\062' + '\x36' + '\061', 23332 - 23324), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11101 + 0o24) + '\x37' + chr(0b100001 + 0o23), 0b1000), ehT0Px3KOsy9(chr(2010 - 1962) + '\157' + chr(0b100010 + 0o20) + chr(2264 - 2215) + '\x37', 31631 - 31623), ehT0Px3KOsy9(chr(63 - 15) + chr(111) + '\x33' + chr(0b1010 + 0o53) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(428 - 317) + chr(0b110100), 36488 - 36480), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110 + 0o53) + chr(0b110110) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(7264 - 7153) + '\x32' + chr(2492 - 2439) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + chr(0b100110 + 0o14) + '\x36' + chr(0b101110 + 0o2), 0b1000), ehT0Px3KOsy9(chr(1939 - 1891) + chr(111) + '\062' + chr(0b110010) + chr(52), 0o10), ehT0Px3KOsy9(chr(648 - 600) + chr(111) + '\062' + '\x36' + chr(1756 - 1705), ord("\x08")), ehT0Px3KOsy9(chr(617 - 569) + '\x6f' + chr(0b1 + 0o60) + '\x31', 24561 - 24553), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(330 - 281) + chr(0b110010) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(0b110010) + '\066' + chr(0b1111 + 0o47), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100000 + 0o21) + chr(49), 8), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b10101 + 0o132) + chr(1231 - 1180) + '\062' + chr(1147 - 1094), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011 + 0o144) + chr(51) + '\x37' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(5155 - 5044) + chr(605 - 555) + chr(51) + chr(2638 - 2586), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b110110) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1070 - 1022) + chr(111) + '\062' + chr(0b110 + 0o60), 0o10), ehT0Px3KOsy9(chr(48) + chr(12239 - 12128) + chr(1026 - 977) + '\066' + '\065', 0b1000), ehT0Px3KOsy9(chr(2253 - 2205) + '\x6f' + chr(1395 - 1344) + '\067' + chr(1029 - 981), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101110 + 0o3) + chr(753 - 700) + chr(0b110001), 23385 - 23377), ehT0Px3KOsy9(chr(355 - 307) + chr(0b1101111) + '\x31' + chr(55) + '\x35', 63521 - 63513), ehT0Px3KOsy9('\060' + chr(0b1111 + 0o140) + '\x32' + chr(1398 - 1345) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\064' + chr(2420 - 2367), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(0b101000 + 0o17) + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(2081 - 2032) + '\060' + chr(0b100011 + 0o24), 40034 - 40026)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + '\x35' + '\060', 12616 - 12608)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'/'), chr(0b1100100) + chr(1052 - 951) + chr(7975 - 7876) + chr(111) + chr(0b1100100) + '\x65')('\165' + chr(10163 - 10047) + chr(0b1011000 + 0o16) + chr(0b11111 + 0o16) + chr(285 - 229)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def m1sWr00SVpVY(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
Oynw8flqk0TY = e_2m_ddtWLQF._fix_attribute_names(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'j\xa6\xccP\x9ed\x12-\xb0^AT'), chr(4411 - 4311) + chr(0b1100101 + 0o0) + chr(0b1010000 + 0o23) + '\x6f' + chr(100) + chr(101))('\165' + chr(13090 - 12974) + '\x66' + '\x2d' + '\070'): xafqLlk3kkUe(SXOLrMavuUCe(b'j\xa6\xccP\x9ed'), chr(8496 - 8396) + chr(574 - 473) + chr(99) + '\157' + chr(0b110000 + 0o64) + chr(0b1000 + 0o135))(chr(0b1001001 + 0o54) + '\164' + chr(102) + chr(1367 - 1322) + chr(0b101 + 0o63)), xafqLlk3kkUe(SXOLrMavuUCe(b'r\xb7\xccW\x9fm>'), chr(100) + chr(0b1100101) + chr(99) + chr(111) + '\x64' + '\145')(chr(2495 - 2378) + chr(116) + '\146' + chr(45) + chr(0b11001 + 0o37)): xafqLlk3kkUe(SXOLrMavuUCe(b'r\xb7\xccW\x9fm'), chr(0b1100010 + 0o2) + chr(8539 - 8438) + chr(9450 - 9351) + '\157' + chr(9067 - 8967) + chr(0b10111 + 0o116))(chr(0b1110101) + chr(5178 - 5062) + '\146' + chr(0b10011 + 0o32) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'q\xa2\xdaM'), '\x64' + '\145' + chr(99) + chr(111) + '\x64' + '\x65')('\165' + chr(1640 - 1524) + '\x66' + chr(0b10 + 0o53) + chr(0b111000)): xafqLlk3kkUe(SXOLrMavuUCe(b'q\xa2\xda'), chr(401 - 301) + chr(0b1 + 0o144) + '\x63' + chr(1569 - 1458) + chr(0b101010 + 0o72) + chr(0b111010 + 0o53))(chr(0b1110101) + '\164' + chr(102) + chr(45) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'e\xaa\xd2_\x8fa"0\xab'), chr(100) + '\145' + '\x63' + '\157' + chr(100) + chr(1981 - 1880))(chr(967 - 850) + chr(116) + chr(0b1100110) + chr(0b101000 + 0o5) + chr(0b1110 + 0o52)): xafqLlk3kkUe(SXOLrMavuUCe(b'e\xaa\xd2_\x8fm'), chr(0b110010 + 0o62) + '\x65' + chr(0b1100011) + '\x6f' + chr(9119 - 9019) + chr(101))(chr(117) + chr(585 - 469) + chr(102) + chr(0b1 + 0o54) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'f\xb1\xd1K\x8b'), chr(100) + chr(0b11000 + 0o115) + '\143' + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(5360 - 5243) + '\164' + chr(0b1100110) + '\x2d' + chr(2586 - 2530)): xafqLlk3kkUe(SXOLrMavuUCe(b'o\xb6\xd3a\x9cz"+\xa8'), chr(0b1000001 + 0o43) + '\x65' + chr(0b1000010 + 0o41) + chr(7529 - 7418) + chr(100) + chr(0b1000010 + 0o43))(chr(3064 - 2947) + chr(8698 - 8582) + chr(9213 - 9111) + chr(0b101101) + '\x38')})
Oynw8flqk0TY = e_2m_ddtWLQF._add_extra_attributes(Oynw8flqk0TY, {xafqLlk3kkUe(SXOLrMavuUCe(b'o\xb6\xd3a\x9cz"+\xa8'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(11036 - 10925) + chr(8086 - 7986) + chr(3068 - 2967))(chr(0b100011 + 0o122) + '\x74' + '\x66' + chr(45) + chr(0b111000)): ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31', 8)})
Oynw8flqk0TY = e_2m_ddtWLQF._fix_bias(xafqLlk3kkUe(SXOLrMavuUCe(b'B\xac\xd0H\x94d8*\xb1P_'), chr(100) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(101))('\x75' + chr(1364 - 1248) + chr(0b1100110) + '\055' + chr(1631 - 1575)), Oynw8flqk0TY, c2A0yzQpDQB3(vXoupepMtCXU))
Oynw8flqk0TY = e_2m_ddtWLQF._fix_channels(xafqLlk3kkUe(SXOLrMavuUCe(b'B\xac\xd0H\x94d8*\xb1P_'), '\x64' + chr(0b1011101 + 0o10) + chr(7558 - 7459) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(0b1100101 + 0o20) + '\x74' + '\146' + '\055' + chr(2076 - 2020)), Oynw8flqk0TY, vXoupepMtCXU, tKGh31ynuvmM)
iaILEoszmqXb = Oynw8flqk0TY[xafqLlk3kkUe(SXOLrMavuUCe(b'j\xa6\xccP\x9ed'), chr(0b1 + 0o143) + chr(0b11011 + 0o112) + chr(99) + chr(111) + chr(0b1100100) + chr(5105 - 5004))(chr(0b1110101) + '\164' + chr(102) + chr(1657 - 1612) + '\070')]
VKQ5wcD30goF = Oynw8flqk0TY[xafqLlk3kkUe(SXOLrMavuUCe(b'r\xb7\xccW\x9fm'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(111) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(5603 - 5487) + '\x66' + chr(45) + chr(56))] if xafqLlk3kkUe(SXOLrMavuUCe(b'r\xb7\xccW\x9fm'), '\144' + '\x65' + chr(913 - 814) + '\x6f' + chr(100) + chr(0b101011 + 0o72))(chr(0b1110101) + '\x74' + chr(102) + '\055' + '\070') in Oynw8flqk0TY else []
TFLseEYASEKG = Oynw8flqk0TY[xafqLlk3kkUe(SXOLrMavuUCe(b'q\xa2\xda'), chr(100) + chr(0b1010011 + 0o22) + chr(0b1010110 + 0o15) + chr(0b1101111) + '\144' + chr(101))(chr(0b1110101) + '\164' + '\x66' + chr(235 - 190) + chr(379 - 323))] if xafqLlk3kkUe(SXOLrMavuUCe(b'q\xa2\xda'), chr(100) + chr(0b1000101 + 0o40) + chr(99) + chr(3518 - 3407) + chr(100) + chr(0b11100 + 0o111))(chr(0b1110101) + chr(0b1110100) + chr(0b1011101 + 0o11) + chr(45) + chr(757 - 701)) in Oynw8flqk0TY else []
OzTCPDyKAiS7 = Oynw8flqk0TY[xafqLlk3kkUe(SXOLrMavuUCe(b'e\xaa\xd2_\x8fm'), chr(100) + chr(1093 - 992) + '\143' + chr(111) + chr(0b1100100) + '\x65')('\x75' + chr(116) + chr(102) + '\x2d' + chr(3015 - 2959))] if xafqLlk3kkUe(SXOLrMavuUCe(b'e\xaa\xd2_\x8fm'), chr(0b1011000 + 0o14) + chr(101) + chr(1489 - 1390) + chr(0b1101111) + '\144' + '\145')(chr(0b101110 + 0o107) + '\164' + chr(0b1100110) + chr(45) + '\x38') in Oynw8flqk0TY else []
zuu2irDxJjis = Oynw8flqk0TY[xafqLlk3kkUe(SXOLrMavuUCe(b'o\xb6\xd3a\x9da!*\xbdM'), chr(100) + chr(0b1011011 + 0o12) + chr(0b1100011) + '\x6f' + '\144' + '\145')(chr(0b1110101) + chr(116) + chr(3121 - 3019) + chr(0b100011 + 0o12) + chr(0b100001 + 0o27))]
XUutyWCpcYO4 = Oynw8flqk0TY[xafqLlk3kkUe(SXOLrMavuUCe(b'o\xb6\xd3a\x9cz"+\xa8'), '\144' + '\145' + chr(0b1100011) + chr(111) + chr(100) + '\145')(chr(0b1110101) + chr(0b100010 + 0o122) + chr(0b1000001 + 0o45) + chr(45) + chr(0b111000))]
ghPX4uNdZuud = Oynw8flqk0TY[xafqLlk3kkUe(SXOLrMavuUCe(b'o\xac\xe1\\\x92i>'), chr(1729 - 1629) + chr(6120 - 6019) + chr(0b110100 + 0o57) + chr(0b111001 + 0o66) + chr(100) + chr(101))(chr(117) + chr(0b1110100) + chr(0b101 + 0o141) + chr(0b1011 + 0o42) + '\x38')] if xafqLlk3kkUe(SXOLrMavuUCe(b'o\xac\xe1\\\x92i>'), '\144' + chr(0b1000 + 0o135) + chr(0b1001011 + 0o30) + chr(111) + chr(0b1001100 + 0o30) + chr(101))(chr(3145 - 3028) + chr(116) + chr(3533 - 3431) + '\x2d' + '\x38') in Oynw8flqk0TY else ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(8224 - 8113) + '\x30', 0o10)
IKTrMTySqz10 = None if ghPX4uNdZuud is ehT0Px3KOsy9('\x30' + '\x6f' + '\061', 8) else vXoupepMtCXU[ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062', 0o10)]
cTcaitHYqg1G = (ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110000), 8), ehT0Px3KOsy9(chr(572 - 524) + '\157' + '\060', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11111 + 0o21), 8), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + chr(0b10100 + 0o34), 8)) + e_2m_ddtWLQF._pad_sequence_fix(TFLseEYASEKG, kernel_dim=c2A0yzQpDQB3(iaILEoszmqXb))
z2w5WpMhhYBF = Usr5ykvL2UZF.jq0C7ttmqXPS(vXoupepMtCXU[ehT0Px3KOsy9(chr(2200 - 2152) + '\x6f' + chr(503 - 455), 8)], mode=xafqLlk3kkUe(SXOLrMavuUCe(b'b\xac\xd0M\x8fi#*'), '\144' + chr(101) + chr(8302 - 8203) + chr(0b1101111) + '\144' + '\x65')('\165' + '\x74' + '\x66' + chr(165 - 120) + '\x38'), pad_width=cTcaitHYqg1G)
XaW4cQU8AObK = Usr5ykvL2UZF.Convolution(z2w5WpMhhYBF, vXoupepMtCXU[ehT0Px3KOsy9(chr(0b110000) + chr(0b101101 + 0o102) + '\061', 8)], IKTrMTySqz10, kernel=iaILEoszmqXb, stride=VKQ5wcD30goF, dilate=OzTCPDyKAiS7, num_filter=zuu2irDxJjis, num_group=XUutyWCpcYO4, no_bias=ghPX4uNdZuud)
return (XaW4cQU8AObK, Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
deconv
|
def deconv(attrs, inputs, proto_obj):
"""Computes transposed convolution of the input tensor."""
new_attrs = translation_utils._fix_attribute_names(attrs, {'kernel_shape' : 'kernel',
'strides' : 'stride',
'pads': 'pad',
'dilations': 'dilate',
'group': 'num_group'})
new_attrs = translation_utils._add_extra_attributes(new_attrs, {'num_group' : 1})
new_attrs = translation_utils._fix_bias('Deconvolution', new_attrs, len(inputs))
new_attrs = translation_utils._fix_channels('Deconvolution', new_attrs, inputs, proto_obj)
kernel = new_attrs['kernel']
stride = new_attrs['stride'] if 'stride' in new_attrs else []
padding = new_attrs['pad'] if 'pad' in new_attrs else []
dilations = new_attrs['dilate'] if 'dilate' in new_attrs else []
num_filter = new_attrs['num_filter']
num_group = new_attrs['num_group']
no_bias = new_attrs['no_bias'] if 'no_bias' in new_attrs else False
bias = None if no_bias is True else inputs[2]
# Unlike ONNX, MXNet's deconvolution operator does not support asymmetric padding, so we first
# use 'Pad' operator, which supports asymmetric padding. Then use the deconvolution operator.
pad_width = (0, 0, 0, 0) + translation_utils._pad_sequence_fix(padding, kernel_dim=len(kernel))
pad_op = symbol.pad(inputs[0], mode='constant', pad_width=pad_width)
deconv_op = symbol.Deconvolution(pad_op, inputs[1], bias,
kernel=kernel, stride=stride, dilate=dilations,
num_filter=num_filter, num_group=num_group, no_bias=no_bias)
return deconv_op, new_attrs, inputs
|
python
|
def deconv(attrs, inputs, proto_obj):
"""Computes transposed convolution of the input tensor."""
new_attrs = translation_utils._fix_attribute_names(attrs, {'kernel_shape' : 'kernel',
'strides' : 'stride',
'pads': 'pad',
'dilations': 'dilate',
'group': 'num_group'})
new_attrs = translation_utils._add_extra_attributes(new_attrs, {'num_group' : 1})
new_attrs = translation_utils._fix_bias('Deconvolution', new_attrs, len(inputs))
new_attrs = translation_utils._fix_channels('Deconvolution', new_attrs, inputs, proto_obj)
kernel = new_attrs['kernel']
stride = new_attrs['stride'] if 'stride' in new_attrs else []
padding = new_attrs['pad'] if 'pad' in new_attrs else []
dilations = new_attrs['dilate'] if 'dilate' in new_attrs else []
num_filter = new_attrs['num_filter']
num_group = new_attrs['num_group']
no_bias = new_attrs['no_bias'] if 'no_bias' in new_attrs else False
bias = None if no_bias is True else inputs[2]
# Unlike ONNX, MXNet's deconvolution operator does not support asymmetric padding, so we first
# use 'Pad' operator, which supports asymmetric padding. Then use the deconvolution operator.
pad_width = (0, 0, 0, 0) + translation_utils._pad_sequence_fix(padding, kernel_dim=len(kernel))
pad_op = symbol.pad(inputs[0], mode='constant', pad_width=pad_width)
deconv_op = symbol.Deconvolution(pad_op, inputs[1], bias,
kernel=kernel, stride=stride, dilate=dilations,
num_filter=num_filter, num_group=num_group, no_bias=no_bias)
return deconv_op, new_attrs, inputs
|
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] |
Computes transposed convolution of the input tensor.
|
[
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L348-L377
|
train
|
Computes the transposed convolution of the input tensor.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b111001 + 0o66) + chr(1476 - 1426) + chr(59 - 8) + chr(54), 6287 - 6279), ehT0Px3KOsy9(chr(48) + chr(0b1001010 + 0o45) + chr(0b10110 + 0o34) + '\067' + '\x31', 62141 - 62133), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + chr(0b110011) + chr(2088 - 2035), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(128 - 78) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100111 + 0o10) + chr(0b110001) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11101 + 0o122) + chr(466 - 417) + '\x32' + '\x33', 48477 - 48469), ehT0Px3KOsy9('\x30' + chr(5386 - 5275) + chr(50) + '\x30' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(9940 - 9829) + chr(2006 - 1956) + chr(922 - 874) + chr(556 - 501), 0o10), ehT0Px3KOsy9('\060' + chr(0b1011000 + 0o27) + '\x31' + chr(972 - 921) + chr(54), 411 - 403), ehT0Px3KOsy9(chr(80 - 32) + chr(111) + chr(51) + '\063' + chr(0b110100), 55917 - 55909), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10101 + 0o35) + chr(394 - 339) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\x31' + chr(2202 - 2153), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1960 - 1910) + '\x33' + '\x36', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(0b110 + 0o60) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(1370 - 1322) + chr(1809 - 1698) + chr(0b110011) + chr(0b101011 + 0o13) + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(0b110100) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(1905 - 1852) + '\x32', 0b1000), ehT0Px3KOsy9(chr(1965 - 1917) + '\157' + chr(55) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010100 + 0o33) + chr(0b100111 + 0o14) + chr(0b1001 + 0o50) + '\x35', 26507 - 26499), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + chr(0b11011 + 0o26) + chr(0b110010) + '\063', 8), ehT0Px3KOsy9('\060' + chr(0b111010 + 0o65) + chr(0b11110 + 0o24) + '\067' + '\064', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101011 + 0o10) + chr(51) + chr(51), 50423 - 50415), ehT0Px3KOsy9(chr(48) + chr(9291 - 9180) + '\063' + '\x30' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + chr(0b10110 + 0o34) + chr(0b110001) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(812 - 701) + chr(50) + chr(275 - 222) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + chr(0b11101 + 0o24) + chr(2005 - 1951) + chr(49), 0b1000), ehT0Px3KOsy9(chr(731 - 683) + '\157' + chr(0b100010 + 0o21) + chr(0b10111 + 0o40) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10862 - 10751) + chr(0b110011) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2163 - 2052) + '\063' + '\066' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + chr(49) + chr(0b110110) + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(1112 - 1001) + chr(0b110100) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\065' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\x32' + chr(55), 0b1000), ehT0Px3KOsy9(chr(887 - 839) + chr(111) + chr(0b110001) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(336 - 285) + chr(909 - 857) + chr(0b110010), 54463 - 54455), ehT0Px3KOsy9(chr(1976 - 1928) + chr(0b1101111) + '\062' + chr(1727 - 1679) + chr(0b110001 + 0o5), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1287 - 1238) + chr(0b110101) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\062' + chr(0b11101 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1376 - 1265) + chr(49) + chr(0b10101 + 0o37) + chr(0b110001 + 0o6), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(2391 - 2340) + '\x36', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(774 - 726) + chr(0b101100 + 0o103) + chr(0b110000 + 0o5) + chr(0b100101 + 0o13), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0'), chr(100) + chr(0b1000011 + 0o42) + chr(9376 - 9277) + chr(0b1101111) + '\x64' + '\x65')(chr(0b1110101) + '\164' + '\x66' + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def lVVvE0Sa2bEP(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
Oynw8flqk0TY = e_2m_ddtWLQF._fix_attribute_names(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\xdco>n?\xdb\xf46\xbd\xcc\xec'), '\144' + '\x65' + '\x63' + chr(0b1101111) + '\144' + chr(0b1100101))('\165' + chr(0b10111 + 0o135) + chr(6017 - 5915) + chr(45) + chr(0b111000)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\xdco>n?'), chr(100) + chr(0b100001 + 0o104) + chr(0b110110 + 0o55) + chr(111) + chr(0b1010001 + 0o23) + '\145')(chr(5960 - 5843) + chr(11622 - 11506) + '\x66' + chr(0b101101) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\xcdo9o6\xf7'), chr(100) + chr(0b1001111 + 0o26) + '\x63' + chr(12138 - 12027) + chr(0b1011101 + 0o7) + '\145')(chr(0b1110101) + chr(8994 - 8878) + chr(4106 - 4004) + chr(45) + chr(1770 - 1714)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\xcdo9o6'), chr(0b1001010 + 0o32) + chr(0b1100101) + chr(0b1100011) + chr(0b100001 + 0o116) + chr(3970 - 3870) + chr(0b10111 + 0o116))('\x75' + '\164' + chr(102) + '\055' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xd8y#'), chr(100) + '\145' + '\143' + chr(0b1101111) + chr(100) + '\145')(chr(0b1000100 + 0o61) + chr(0b1110100) + chr(767 - 665) + '\x2d' + chr(524 - 468)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xd8y'), '\144' + '\x65' + chr(5101 - 5002) + '\x6f' + '\144' + chr(101))(chr(0b1110101) + chr(11755 - 11639) + chr(3354 - 3252) + chr(45) + chr(1738 - 1682)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\xd0q1\x7f:\xeb\xe9-'), chr(5272 - 5172) + '\x65' + '\143' + chr(111) + chr(6381 - 6281) + chr(4022 - 3921))('\165' + chr(116) + chr(102) + chr(527 - 482) + chr(0b1001 + 0o57)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\xd0q1\x7f6'), chr(100) + chr(0b1100101) + chr(99) + '\x6f' + chr(0b1100011 + 0o1) + chr(101))(chr(117) + chr(0b1110100) + chr(7472 - 7370) + chr(1176 - 1131) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9\xcbr%{'), '\144' + chr(0b101 + 0o140) + '\x63' + '\x6f' + chr(0b1001 + 0o133) + chr(0b1011010 + 0o13))('\x75' + chr(0b100110 + 0o116) + chr(0b11000 + 0o116) + chr(0b101101) + '\070'): xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\xccp\x0fl!\xeb\xf2.'), '\144' + chr(0b1100101) + chr(3424 - 3325) + chr(0b11110 + 0o121) + chr(100) + chr(0b101010 + 0o73))('\165' + chr(0b110110 + 0o76) + chr(0b1011001 + 0o15) + chr(0b101101) + chr(56))})
Oynw8flqk0TY = e_2m_ddtWLQF._add_extra_attributes(Oynw8flqk0TY, {xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\xccp\x0fl!\xeb\xf2.'), '\x64' + '\145' + chr(0b1 + 0o142) + '\x6f' + chr(9256 - 9156) + '\x65')('\165' + chr(0b1110100) + '\x66' + '\x2d' + chr(0b11001 + 0o37)): ehT0Px3KOsy9(chr(985 - 937) + '\157' + '\x31', 0b1000)})
Oynw8flqk0TY = e_2m_ddtWLQF._fix_bias(xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\xdc~?e%\xeb\xeb+\xa8\xd5\xe6\xf0'), chr(5419 - 5319) + chr(555 - 454) + '\x63' + chr(0b1101110 + 0o1) + '\144' + chr(0b10111 + 0o116))('\x75' + '\164' + chr(0b100100 + 0o102) + '\055' + chr(0b111000)), Oynw8flqk0TY, c2A0yzQpDQB3(vXoupepMtCXU))
Oynw8flqk0TY = e_2m_ddtWLQF._fix_channels(xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\xdc~?e%\xeb\xeb+\xa8\xd5\xe6\xf0'), '\144' + '\145' + chr(99) + chr(1480 - 1369) + '\144' + chr(3496 - 3395))('\165' + chr(116) + '\146' + chr(45) + chr(0b101011 + 0o15)), Oynw8flqk0TY, vXoupepMtCXU, tKGh31ynuvmM)
iaILEoszmqXb = Oynw8flqk0TY[xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\xdco>n?'), '\x64' + chr(101) + chr(0b1101 + 0o126) + '\x6f' + chr(100) + '\x65')(chr(117) + '\x74' + chr(675 - 573) + '\055' + chr(0b101000 + 0o20))]
VKQ5wcD30goF = Oynw8flqk0TY[xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\xcdo9o6'), '\144' + '\x65' + '\x63' + chr(0b1011000 + 0o27) + '\144' + chr(101))('\x75' + chr(0b1110100) + chr(102) + chr(0b100001 + 0o14) + chr(56))] if xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\xcdo9o6'), chr(100) + chr(0b1100101) + chr(2180 - 2081) + chr(2183 - 2072) + chr(0b1010011 + 0o21) + chr(101))('\165' + chr(8117 - 8001) + chr(102) + '\055' + chr(0b111000)) in Oynw8flqk0TY else []
TFLseEYASEKG = Oynw8flqk0TY[xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xd8y'), chr(0b10111 + 0o115) + chr(4767 - 4666) + '\x63' + chr(0b1101111) + '\144' + '\145')('\165' + '\x74' + '\146' + chr(0b101101) + chr(56))] if xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xd8y'), chr(0b1100100) + '\145' + '\143' + chr(8143 - 8032) + chr(0b110100 + 0o60) + chr(8743 - 8642))(chr(0b1110000 + 0o5) + chr(4707 - 4591) + chr(1929 - 1827) + chr(914 - 869) + chr(2316 - 2260)) in Oynw8flqk0TY else []
OzTCPDyKAiS7 = Oynw8flqk0TY[xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\xd0q1\x7f6'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(7344 - 7233) + '\x64' + '\145')(chr(117) + chr(13198 - 13082) + chr(102) + '\055' + '\070')] if xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\xd0q1\x7f6'), '\x64' + '\145' + '\x63' + '\157' + '\x64' + chr(5177 - 5076))(chr(117) + chr(116) + chr(102) + '\x2d' + chr(2966 - 2910)) in Oynw8flqk0TY else []
zuu2irDxJjis = Oynw8flqk0TY[xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\xccp\x0fm:\xe8\xf3;\xae'), chr(0b11111 + 0o105) + chr(0b1010010 + 0o23) + chr(0b1011001 + 0o12) + '\x6f' + chr(4942 - 4842) + '\x65')('\165' + chr(0b1110100) + chr(0b1100110) + '\055' + chr(56))]
XUutyWCpcYO4 = Oynw8flqk0TY[xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\xccp\x0fl!\xeb\xf2.'), chr(4575 - 4475) + chr(0b1100101) + '\143' + '\157' + '\x64' + chr(0b1100101))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(45) + '\070')]
ghPX4uNdZuud = Oynw8flqk0TY[xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\xd6B2b2\xf7'), '\144' + chr(5037 - 4936) + chr(0b1100011) + chr(111) + chr(0b100 + 0o140) + '\145')('\x75' + '\x74' + '\x66' + '\x2d' + chr(56))] if xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\xd6B2b2\xf7'), chr(3151 - 3051) + chr(5499 - 5398) + chr(233 - 134) + chr(4868 - 4757) + chr(2525 - 2425) + chr(0b100001 + 0o104))(chr(0b11100 + 0o131) + '\164' + chr(0b111111 + 0o47) + chr(229 - 184) + chr(0b111000)) in Oynw8flqk0TY else ehT0Px3KOsy9('\x30' + chr(0b1000111 + 0o50) + chr(0b11001 + 0o27), 38373 - 38365)
IKTrMTySqz10 = None if ghPX4uNdZuud is ehT0Px3KOsy9(chr(0b110000) + chr(0b101101 + 0o102) + chr(49), 8) else vXoupepMtCXU[ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(4749 - 4638) + chr(315 - 265), 0b1000)]
cTcaitHYqg1G = (ehT0Px3KOsy9('\x30' + '\157' + chr(0b110000), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110000), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1000 + 0o50), 8), ehT0Px3KOsy9(chr(462 - 414) + chr(6777 - 6666) + chr(48), 8)) + e_2m_ddtWLQF._pad_sequence_fix(TFLseEYASEKG, kernel_dim=c2A0yzQpDQB3(iaILEoszmqXb))
z2w5WpMhhYBF = Usr5ykvL2UZF.jq0C7ttmqXPS(vXoupepMtCXU[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10101 + 0o33), 8)], mode=xafqLlk3kkUe(SXOLrMavuUCe(b'\xfd\xd6s#\x7f2\xea\xf3'), chr(0b110110 + 0o56) + chr(0b111011 + 0o52) + chr(99) + chr(3890 - 3779) + '\x64' + chr(5099 - 4998))(chr(0b1101000 + 0o15) + chr(116) + chr(0b10000 + 0o126) + chr(601 - 556) + chr(0b111000)), pad_width=cTcaitHYqg1G)
VYA2yI64ZrTq = Usr5ykvL2UZF.Deconvolution(z2w5WpMhhYBF, vXoupepMtCXU[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001), 8)], IKTrMTySqz10, kernel=iaILEoszmqXb, stride=VKQ5wcD30goF, dilate=OzTCPDyKAiS7, num_filter=zuu2irDxJjis, num_group=XUutyWCpcYO4, no_bias=ghPX4uNdZuud)
return (VYA2yI64ZrTq, Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
fully_connected
|
def fully_connected(attrs, inputs, proto_obj):
"""Applies a linear transformation: Y=XWT+b."""
new_attrs = translation_utils._remove_attributes(attrs, ['axis'])
new_attrs = translation_utils._fix_bias('FullyConnected', new_attrs, len(inputs))
new_attrs = translation_utils._fix_channels('FullyConnected', new_attrs, inputs, proto_obj)
return 'FullyConnected', new_attrs, inputs
|
python
|
def fully_connected(attrs, inputs, proto_obj):
"""Applies a linear transformation: Y=XWT+b."""
new_attrs = translation_utils._remove_attributes(attrs, ['axis'])
new_attrs = translation_utils._fix_bias('FullyConnected', new_attrs, len(inputs))
new_attrs = translation_utils._fix_channels('FullyConnected', new_attrs, inputs, proto_obj)
return 'FullyConnected', new_attrs, inputs
|
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] |
Applies a linear transformation: Y=XWT+b.
|
[
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"linear",
"transformation",
":",
"Y",
"=",
"XWT",
"+",
"b",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L379-L387
|
train
|
Applies a linear transformation Y = XWT + b.
|
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(131 - 83) + chr(111) + chr(322 - 272) + '\063' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10018 - 9907) + chr(0b10001 + 0o40) + chr(0b110001), 55500 - 55492), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b111001 + 0o66) + chr(49) + chr(2679 - 2624) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(515 - 467) + chr(0b1101111) + chr(1140 - 1089) + chr(0b11110 + 0o27) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x35' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8995 - 8884) + '\061' + chr(0b10011 + 0o35) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(2541 - 2490) + chr(1566 - 1518) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + '\x35' + chr(51), 46114 - 46106), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1329 - 1279) + '\066' + '\060', 0b1000), ehT0Px3KOsy9(chr(401 - 353) + chr(0b1101111) + '\x32' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1001011 + 0o44) + chr(0b100100 + 0o15) + chr(55) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100011 + 0o14) + chr(0b100011 + 0o22) + '\x35', 16994 - 16986), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\065' + '\060', 51754 - 51746), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + chr(50) + chr(0b1111 + 0o50) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(6205 - 6094) + chr(0b110111) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + chr(0b11111 + 0o27) + chr(52), 19450 - 19442), ehT0Px3KOsy9(chr(48) + chr(0b1001110 + 0o41) + chr(602 - 551) + '\061' + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x31', 0o10), ehT0Px3KOsy9(chr(2045 - 1997) + chr(111) + '\x37' + '\064', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(1959 - 1908) + chr(0b0 + 0o62) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(4399 - 4288) + chr(51) + chr(0b100110 + 0o21) + '\066', 0b1000), ehT0Px3KOsy9(chr(194 - 146) + '\157' + chr(1223 - 1173) + chr(0b110110) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110000 + 0o4) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(52), 0b1000), ehT0Px3KOsy9(chr(1172 - 1124) + chr(0b11000 + 0o127) + '\063' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2226 - 2174) + chr(0b0 + 0o63), 0o10), ehT0Px3KOsy9(chr(236 - 188) + chr(8596 - 8485) + chr(0b1010 + 0o47) + chr(0b100110 + 0o12) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1203 - 1154) + chr(0b100001 + 0o17) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + '\x33' + chr(2431 - 2376), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + '\064' + chr(759 - 711), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(0b110011) + '\x32' + chr(110 - 62), 0o10), ehT0Px3KOsy9('\060' + chr(5318 - 5207) + chr(1026 - 976) + chr(0b100000 + 0o22) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(0b110010) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11001 + 0o31) + '\062' + chr(0b110110 + 0o1), 8), ehT0Px3KOsy9(chr(925 - 877) + chr(0b1101111) + '\x35' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(52) + chr(1584 - 1535), 0b1000), ehT0Px3KOsy9(chr(1277 - 1229) + chr(2736 - 2625) + chr(51) + chr(0b11111 + 0o27) + chr(232 - 182), 32150 - 32142), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b100110 + 0o13) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(4524 - 4413) + chr(51) + '\065' + chr(1215 - 1160), 45586 - 45578)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + chr(711 - 658) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3'), '\x64' + '\x65' + '\x63' + chr(111) + '\144' + '\x65')(chr(0b1101110 + 0o7) + chr(0b1110100) + chr(9538 - 9436) + chr(60 - 15) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def h3_2P8qiO8V2(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
Oynw8flqk0TY = e_2m_ddtWLQF._remove_attributes(oIhwMA96NShQ, [xafqLlk3kkUe(SXOLrMavuUCe(b'\xfcq\x17\x9f'), chr(0b1100100) + chr(0b110000 + 0o65) + chr(0b1100011) + '\157' + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b1000100 + 0o60) + '\146' + chr(1802 - 1757) + chr(56))])
Oynw8flqk0TY = e_2m_ddtWLQF._fix_bias(xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb|\x12\x80S\x00\xae\x85\xdeua\x0cH\x0c'), chr(100) + '\x65' + chr(0b1100011) + chr(11926 - 11815) + chr(5987 - 5887) + chr(7598 - 7497))('\x75' + '\164' + chr(102) + chr(1621 - 1576) + '\x38'), Oynw8flqk0TY, c2A0yzQpDQB3(vXoupepMtCXU))
Oynw8flqk0TY = e_2m_ddtWLQF._fix_channels(xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb|\x12\x80S\x00\xae\x85\xdeua\x0cH\x0c'), chr(0b1100100) + '\x65' + '\143' + chr(3346 - 3235) + chr(0b1100100) + chr(4216 - 4115))(chr(0b111011 + 0o72) + '\164' + chr(0b111100 + 0o52) + chr(45) + chr(56)), Oynw8flqk0TY, vXoupepMtCXU, tKGh31ynuvmM)
return (xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb|\x12\x80S\x00\xae\x85\xdeua\x0cH\x0c'), '\144' + chr(101) + chr(99) + chr(0b1011011 + 0o24) + chr(0b1110 + 0o126) + chr(0b110100 + 0o61))(chr(117) + '\164' + '\x66' + chr(515 - 470) + chr(0b111000)), Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
global_maxpooling
|
def global_maxpooling(attrs, inputs, proto_obj):
"""Performs max pooling on the input."""
new_attrs = translation_utils._add_extra_attributes(attrs, {'global_pool': True,
'kernel': (1, 1),
'pool_type': 'max'})
return 'Pooling', new_attrs, inputs
|
python
|
def global_maxpooling(attrs, inputs, proto_obj):
"""Performs max pooling on the input."""
new_attrs = translation_utils._add_extra_attributes(attrs, {'global_pool': True,
'kernel': (1, 1),
'pool_type': 'max'})
return 'Pooling', new_attrs, inputs
|
[
"def",
"global_maxpooling",
"(",
"attrs",
",",
"inputs",
",",
"proto_obj",
")",
":",
"new_attrs",
"=",
"translation_utils",
".",
"_add_extra_attributes",
"(",
"attrs",
",",
"{",
"'global_pool'",
":",
"True",
",",
"'kernel'",
":",
"(",
"1",
",",
"1",
")",
",",
"'pool_type'",
":",
"'max'",
"}",
")",
"return",
"'Pooling'",
",",
"new_attrs",
",",
"inputs"
] |
Performs max pooling on the input.
|
[
"Performs",
"max",
"pooling",
"on",
"the",
"input",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L390-L395
|
train
|
Performs max pooling on the input.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + chr(619 - 570) + chr(841 - 790) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1100011 + 0o14) + '\063' + '\060' + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(0b1100 + 0o50) + chr(1281 - 1232), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\x30' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\062' + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(0b110111) + chr(1392 - 1337), 13651 - 13643), ehT0Px3KOsy9('\060' + chr(9158 - 9047) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(440 - 389) + chr(0b100001 + 0o20) + '\060', 1403 - 1395), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(51) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(51) + chr(50) + chr(1339 - 1290), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1436 - 1386) + '\x34' + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100010 + 0o21) + chr(52) + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101010 + 0o5) + '\x36' + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2134 - 2023) + chr(0b11110 + 0o30) + chr(49), 35674 - 35666), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(2483 - 2433) + '\063', 33690 - 33682), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10110 + 0o35) + chr(48) + '\x33', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101101 + 0o10) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(807 - 759) + '\x6f' + chr(2155 - 2104) + chr(0b111 + 0o57) + chr(48), 43620 - 43612), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(0b11111 + 0o21) + chr(1738 - 1687), 8), ehT0Px3KOsy9('\x30' + chr(0b1010100 + 0o33) + chr(0b101010 + 0o11) + chr(2544 - 2489) + chr(0b110111), 8), ehT0Px3KOsy9(chr(1852 - 1804) + '\157' + chr(0b1111 + 0o43) + chr(48) + chr(0b110011), 26394 - 26386), ehT0Px3KOsy9(chr(48) + chr(0b1100110 + 0o11) + chr(0b110101) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110111) + chr(0b101101 + 0o6), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(1777 - 1724) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(53) + chr(2082 - 2029), 5385 - 5377), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010 + 0o1) + '\x32' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\065' + chr(1876 - 1825), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(0b110101) + chr(0b110011), 8928 - 8920), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + '\063' + chr(0b110100) + '\061', 0b1000), ehT0Px3KOsy9(chr(1093 - 1045) + '\157' + '\x37' + chr(1783 - 1731), ord("\x08")), ehT0Px3KOsy9(chr(1349 - 1301) + chr(0b1101111) + chr(0b101010 + 0o11) + chr(49) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(151 - 98) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5364 - 5253) + chr(0b10010 + 0o41) + chr(0b110001) + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(0b110011) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10100 + 0o40) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(1452 - 1404) + chr(10273 - 10162) + '\x34' + '\064', 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1001000 + 0o47) + chr(0b110 + 0o55) + '\067' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + chr(0b100110 + 0o14) + '\x31' + '\064', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(511 - 400) + chr(53) + chr(0b10 + 0o56), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'v'), chr(0b1100100) + chr(6776 - 6675) + chr(99) + chr(7953 - 7842) + chr(0b1100100) + '\x65')(chr(0b1011110 + 0o27) + chr(11397 - 11281) + '\146' + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def H3D26YAsPIrc(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
Oynw8flqk0TY = e_2m_ddtWLQF._add_extra_attributes(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'?\xafv\x03\xa6:\xa0u\xa76\xbd'), '\144' + chr(0b1010110 + 0o17) + chr(0b1100011) + chr(6236 - 6125) + '\144' + chr(0b1111 + 0o126))(chr(0b110111 + 0o76) + chr(0b1110100) + chr(0b1011100 + 0o12) + chr(1756 - 1711) + chr(0b111000)): ehT0Px3KOsy9(chr(48) + '\x6f' + '\061', ord("\x08")), xafqLlk3kkUe(SXOLrMavuUCe(b'3\xa6k\x0f\xa2:'), chr(0b1100100) + chr(0b1100101) + '\x63' + '\157' + chr(0b1100 + 0o130) + chr(5805 - 5704))('\165' + chr(2434 - 2318) + chr(0b11011 + 0o113) + chr(0b1001 + 0o44) + chr(0b100000 + 0o30)): (ehT0Px3KOsy9(chr(1366 - 1318) + '\x6f' + '\061', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001), 8)), xafqLlk3kkUe(SXOLrMavuUCe(b'(\xacv\r\x98"\x86u\xad'), chr(100) + '\145' + '\x63' + chr(0b1101111) + '\x64' + chr(101))(chr(117) + chr(0b11111 + 0o125) + chr(0b110100 + 0o62) + '\055' + chr(56)): xafqLlk3kkUe(SXOLrMavuUCe(b'5\xa2a'), '\144' + chr(0b1100000 + 0o5) + chr(0b1100011) + chr(0b1101111) + chr(100) + '\x65')(chr(117) + '\164' + '\146' + '\055' + '\x38')})
return (xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xacv\r\xae8\x98'), '\144' + chr(0b1100101) + chr(0b101100 + 0o67) + '\x6f' + chr(0b1100100) + '\x65')(chr(117) + chr(116) + '\146' + '\x2d' + chr(56)), Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
global_avgpooling
|
def global_avgpooling(attrs, inputs, proto_obj):
"""Performs avg pooling on the input."""
new_attrs = translation_utils._add_extra_attributes(attrs, {'global_pool': True,
'kernel': (1, 1),
'pool_type': 'avg'})
return 'Pooling', new_attrs, inputs
|
python
|
def global_avgpooling(attrs, inputs, proto_obj):
"""Performs avg pooling on the input."""
new_attrs = translation_utils._add_extra_attributes(attrs, {'global_pool': True,
'kernel': (1, 1),
'pool_type': 'avg'})
return 'Pooling', new_attrs, inputs
|
[
"def",
"global_avgpooling",
"(",
"attrs",
",",
"inputs",
",",
"proto_obj",
")",
":",
"new_attrs",
"=",
"translation_utils",
".",
"_add_extra_attributes",
"(",
"attrs",
",",
"{",
"'global_pool'",
":",
"True",
",",
"'kernel'",
":",
"(",
"1",
",",
"1",
")",
",",
"'pool_type'",
":",
"'avg'",
"}",
")",
"return",
"'Pooling'",
",",
"new_attrs",
",",
"inputs"
] |
Performs avg pooling on the input.
|
[
"Performs",
"avg",
"pooling",
"on",
"the",
"input",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L398-L403
|
train
|
Performs avg pooling on the input.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(483 - 435) + '\157' + '\x33' + chr(824 - 770) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6316 - 6205) + chr(0b11010 + 0o31) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6406 - 6295) + chr(0b1000 + 0o51) + chr(0b10110 + 0o36) + chr(0b101010 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + '\061' + chr(0b110100) + chr(0b1101 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(1707 - 1659) + '\157' + chr(49) + chr(54) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(0b110001) + '\x30' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101000 + 0o7) + '\067' + '\x34', 0o10), ehT0Px3KOsy9(chr(843 - 795) + chr(7411 - 7300) + '\x31' + chr(48) + chr(1177 - 1124), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2298 - 2249) + '\063' + chr(49), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + '\x33' + chr(626 - 576), ord("\x08")), ehT0Px3KOsy9(chr(1623 - 1575) + '\x6f' + '\x33' + chr(0b101111 + 0o7) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101 + 0o142) + '\065' + '\x36', 36806 - 36798), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(52) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(7928 - 7817) + chr(0b1000 + 0o52) + chr(0b110111) + chr(115 - 60), 15088 - 15080), ehT0Px3KOsy9('\x30' + chr(0b1001011 + 0o44) + '\064' + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(0b100010 + 0o115) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\067' + chr(0b1111 + 0o43), 0o10), ehT0Px3KOsy9(chr(1538 - 1490) + chr(281 - 170) + '\x31' + chr(51) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\064' + chr(1931 - 1883), ord("\x08")), ehT0Px3KOsy9(chr(90 - 42) + chr(315 - 204) + '\x32' + '\x36' + chr(0b10 + 0o60), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061' + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\064' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110110) + chr(0b110101), 50637 - 50629), ehT0Px3KOsy9(chr(2120 - 2072) + chr(10177 - 10066) + chr(2263 - 2212) + chr(3001 - 2946), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(53) + chr(2033 - 1985), 17138 - 17130), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\x33' + '\062', 0o10), ehT0Px3KOsy9(chr(764 - 716) + '\157' + chr(0b110001) + chr(1410 - 1357) + '\060', 8), ehT0Px3KOsy9('\x30' + chr(0b111000 + 0o67) + chr(1917 - 1866) + chr(0b110011) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53) + chr(0b11011 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b111011 + 0o64) + chr(49) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2450 - 2400) + chr(0b110100) + chr(124 - 73), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100001 + 0o22) + '\x32' + chr(1153 - 1102), ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(53) + chr(54), 8), ehT0Px3KOsy9(chr(1683 - 1635) + chr(111) + chr(49) + '\x34' + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(959 - 910) + chr(53) + chr(0b110111), 63045 - 63037), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + chr(953 - 903) + '\x31' + chr(2390 - 2336), 20011 - 20003), ehT0Px3KOsy9(chr(1322 - 1274) + chr(6732 - 6621) + chr(0b110011) + chr(0b110111) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\x33' + '\x34', 8), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(49) + chr(0b1111 + 0o50) + chr(2300 - 2249), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + '\x35' + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc'), chr(100) + chr(101) + '\143' + '\x6f' + '\x64' + chr(101))(chr(3246 - 3129) + '\x74' + chr(9505 - 9403) + chr(45) + chr(0b1001 + 0o57)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def fSosEfkN0b2i(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
Oynw8flqk0TY = e_2m_ddtWLQF._add_extra_attributes(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'\x95u\x0f\x01\x16)c5n6\xf6'), chr(100) + '\145' + '\143' + chr(7209 - 7098) + chr(0b1100100) + chr(0b1001010 + 0o33))('\x75' + chr(12148 - 12032) + '\146' + chr(45) + '\x38'): ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(2184 - 2135), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x99|\x12\r\x12)'), '\144' + '\x65' + '\x63' + '\157' + chr(100) + chr(5753 - 5652))(chr(4857 - 4740) + chr(116) + '\x66' + chr(0b101101) + chr(56)): (ehT0Px3KOsy9(chr(131 - 83) + '\157' + '\x31', 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49), 8)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x82v\x0f\x0f(1E5d'), chr(7836 - 7736) + chr(101) + '\x63' + '\157' + '\x64' + '\x65')(chr(117) + chr(0b10101 + 0o137) + '\146' + chr(1920 - 1875) + '\x38'): xafqLlk3kkUe(SXOLrMavuUCe(b'\x93o\x07'), '\x64' + chr(0b111101 + 0o50) + '\x63' + chr(111) + chr(0b1001001 + 0o33) + chr(101))(chr(0b11101 + 0o130) + chr(0b1110100) + chr(514 - 412) + '\x2d' + '\x38')})
return (xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2v\x0f\x0f\x1e+['), '\x64' + chr(101) + chr(0b1011111 + 0o4) + chr(0b10011 + 0o134) + chr(100) + chr(4254 - 4153))(chr(4464 - 4347) + chr(12194 - 12078) + '\x66' + '\x2d' + '\070'), Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
global_lppooling
|
def global_lppooling(attrs, inputs, proto_obj):
"""Performs global lp pooling on the input."""
p_value = attrs.get('p', 2)
new_attrs = translation_utils._add_extra_attributes(attrs, {'global_pool': True,
'kernel': (1, 1),
'pool_type': 'lp',
'p_value': p_value})
new_attrs = translation_utils._remove_attributes(new_attrs, ['p'])
return 'Pooling', new_attrs, inputs
|
python
|
def global_lppooling(attrs, inputs, proto_obj):
"""Performs global lp pooling on the input."""
p_value = attrs.get('p', 2)
new_attrs = translation_utils._add_extra_attributes(attrs, {'global_pool': True,
'kernel': (1, 1),
'pool_type': 'lp',
'p_value': p_value})
new_attrs = translation_utils._remove_attributes(new_attrs, ['p'])
return 'Pooling', new_attrs, inputs
|
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",",
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] |
Performs global lp pooling on the input.
|
[
"Performs",
"global",
"lp",
"pooling",
"on",
"the",
"input",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L405-L413
|
train
|
Performs global lp pooling on the input.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b101101 + 0o102) + '\061' + chr(722 - 668) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(2481 - 2370) + chr(0b11001 + 0o31) + '\064' + chr(291 - 242), 48619 - 48611), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(50) + '\064' + '\065', 42471 - 42463), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(314 - 264) + chr(51) + chr(0b1011 + 0o46), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(1321 - 1270) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1110 + 0o43) + '\x35' + chr(0b1101 + 0o51), 15433 - 15425), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + '\x33' + chr(49) + '\x33', 25818 - 25810), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\x35' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + chr(51) + chr(0b100001 + 0o25) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10646 - 10535) + chr(96 - 43), 55864 - 55856), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1100001 + 0o16) + '\x33' + chr(55) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1257 - 1206) + chr(0b11001 + 0o34) + '\066', 25569 - 25561), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b110001) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b11001 + 0o36) + chr(0b101001 + 0o13), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6778 - 6667) + '\065' + chr(0b100100 + 0o22), 11282 - 11274), ehT0Px3KOsy9(chr(1840 - 1792) + chr(0b1101111) + chr(52) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(1188 - 1138), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + chr(0b0 + 0o63) + chr(0b1110 + 0o44), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(1030 - 981) + chr(1891 - 1843) + chr(0b110001), 15056 - 15048), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\x34' + '\x35', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\x35' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(504 - 456) + chr(0b1101111) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101 + 0o142) + chr(0b10000 + 0o42) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(2128 - 2078) + '\066' + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + chr(7863 - 7752) + '\x31' + chr(0b110110) + chr(210 - 161), 45508 - 45500), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\062' + chr(0b10 + 0o64), 0o10), ehT0Px3KOsy9('\x30' + chr(641 - 530) + chr(0b110 + 0o54) + chr(0b101111 + 0o1) + chr(49), 41635 - 41627), ehT0Px3KOsy9(chr(48) + chr(0b11100 + 0o123) + '\x31' + chr(0b110110) + chr(0b1101 + 0o44), 8), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(1534 - 1481) + chr(54), 8), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + '\061' + chr(0b101111 + 0o4) + '\x32', 15022 - 15014), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(497 - 443) + '\x34', 8), ehT0Px3KOsy9(chr(48) + chr(0b101100 + 0o103) + chr(0b110001) + chr(0b110101) + chr(1549 - 1497), 8), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(5197 - 5086) + chr(0b101001 + 0o10) + '\x32' + '\x30', 42969 - 42961), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(0b110011) + '\067', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b110010) + chr(2374 - 2321), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(2845 - 2790) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11 + 0o56) + chr(0b11111 + 0o27) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + '\062' + chr(49) + '\x34', 58130 - 58122), ehT0Px3KOsy9('\060' + '\157' + chr(49) + '\066' + chr(0b110000), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b110111 + 0o70) + chr(0b110101) + '\060', 63853 - 63845)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'Z'), '\144' + chr(5856 - 5755) + '\143' + chr(0b1101111) + '\x64' + '\x65')(chr(8068 - 7951) + '\x74' + chr(0b10111 + 0o117) + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Di28qsFQN7hS(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
ISoGSZZI5hde = oIhwMA96NShQ.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\x04'), chr(0b1100100) + '\x65' + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(101))('\165' + '\x74' + '\x66' + chr(0b101101) + '\x38'), ehT0Px3KOsy9(chr(1334 - 1286) + chr(8936 - 8825) + chr(0b100011 + 0o17), 8))
Oynw8flqk0TY = e_2m_ddtWLQF._add_extra_attributes(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\xcd\xca\xfb<\x02\x94\x1c\x9aj\x94'), chr(1592 - 1492) + chr(9546 - 9445) + '\x63' + chr(0b1101111) + chr(9702 - 9602) + chr(0b1100101))(chr(0b1001110 + 0o47) + chr(9555 - 9439) + chr(0b1100110) + chr(45) + chr(2860 - 2804)): ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061', ord("\x08")), xafqLlk3kkUe(SXOLrMavuUCe(b'\x1f\xc4\xd7\xf78\x02'), chr(100) + chr(101) + chr(3895 - 3796) + '\x6f' + chr(5617 - 5517) + chr(101))(chr(0b101100 + 0o111) + chr(12450 - 12334) + '\x66' + '\x2d' + '\070'): (ehT0Px3KOsy9(chr(206 - 158) + chr(7593 - 7482) + chr(49), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\061', 8)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x04\xce\xca\xf5\x02\x1a\xb2\x1c\x90'), chr(8860 - 8760) + chr(101) + '\143' + chr(111) + chr(0b101011 + 0o71) + chr(0b1011011 + 0o12))(chr(0b1110101) + chr(116) + chr(204 - 102) + chr(394 - 349) + chr(1590 - 1534)): xafqLlk3kkUe(SXOLrMavuUCe(b'\x18\xd1'), chr(7630 - 7530) + chr(8040 - 7939) + '\143' + '\157' + '\144' + chr(0b1001010 + 0o33))(chr(0b1110101) + chr(116) + '\146' + '\055' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x04\xfe\xd3\xf81\x1b\xae'), chr(0b1100100) + '\x65' + chr(99) + '\x6f' + chr(4242 - 4142) + chr(5378 - 5277))('\x75' + chr(116) + chr(102) + '\x2d' + '\070'): ISoGSZZI5hde})
Oynw8flqk0TY = e_2m_ddtWLQF._remove_attributes(Oynw8flqk0TY, [xafqLlk3kkUe(SXOLrMavuUCe(b'\x04'), chr(0b11000 + 0o114) + chr(7714 - 7613) + '\143' + chr(111) + chr(2238 - 2138) + chr(0b1100101))(chr(0b1110101) + chr(6746 - 6630) + chr(0b1100110) + chr(1308 - 1263) + '\x38')])
return (xafqLlk3kkUe(SXOLrMavuUCe(b'$\xce\xca\xf54\x00\xac'), chr(6231 - 6131) + '\145' + chr(7312 - 7213) + chr(1413 - 1302) + chr(2885 - 2785) + chr(5438 - 5337))(chr(9675 - 9558) + chr(0b1110100) + chr(10002 - 9900) + '\055' + chr(56)), Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
linalg_gemm
|
def linalg_gemm(attrs, inputs, proto_obj):
"""Performs general matrix multiplication and accumulation"""
trans_a = 0
trans_b = 0
alpha = 1
beta = 1
if 'transA' in attrs:
trans_a = attrs['transA']
if 'transB' in attrs:
trans_b = attrs['transB']
if 'alpha' in attrs:
alpha = attrs['alpha']
if 'beta' in attrs:
beta = attrs['beta']
flatten_a = symbol.flatten(inputs[0])
matmul_op = symbol.linalg_gemm2(A=flatten_a, B=inputs[1],
transpose_a=trans_a, transpose_b=trans_b,
alpha=alpha)
gemm_op = symbol.broadcast_add(matmul_op, beta*inputs[2])
new_attrs = translation_utils._fix_attribute_names(attrs, {'transA': 'transpose_a',
'transB': 'transpose_b'})
new_attrs = translation_utils._remove_attributes(new_attrs, ['broadcast'])
return gemm_op, new_attrs, inputs
|
python
|
def linalg_gemm(attrs, inputs, proto_obj):
"""Performs general matrix multiplication and accumulation"""
trans_a = 0
trans_b = 0
alpha = 1
beta = 1
if 'transA' in attrs:
trans_a = attrs['transA']
if 'transB' in attrs:
trans_b = attrs['transB']
if 'alpha' in attrs:
alpha = attrs['alpha']
if 'beta' in attrs:
beta = attrs['beta']
flatten_a = symbol.flatten(inputs[0])
matmul_op = symbol.linalg_gemm2(A=flatten_a, B=inputs[1],
transpose_a=trans_a, transpose_b=trans_b,
alpha=alpha)
gemm_op = symbol.broadcast_add(matmul_op, beta*inputs[2])
new_attrs = translation_utils._fix_attribute_names(attrs, {'transA': 'transpose_a',
'transB': 'transpose_b'})
new_attrs = translation_utils._remove_attributes(new_attrs, ['broadcast'])
return gemm_op, new_attrs, inputs
|
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] |
Performs general matrix multiplication and accumulation
|
[
"Performs",
"general",
"matrix",
"multiplication",
"and",
"accumulation"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L415-L437
|
train
|
Performs general matrix multiplication and accumulation.
|
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(2199 - 2151) + chr(0b1101111) + chr(53) + chr(0b101100 + 0o5), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(1565 - 1514) + chr(49) + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(0b110110) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x34' + chr(2655 - 2602), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(699 - 645) + '\x36', 36638 - 36630), ehT0Px3KOsy9('\x30' + chr(0b101101 + 0o102) + chr(0b110001) + '\067' + '\x32', 30692 - 30684), ehT0Px3KOsy9(chr(572 - 524) + chr(9313 - 9202) + chr(1838 - 1785) + '\x34', 25829 - 25821), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(51) + chr(49), 0o10), ehT0Px3KOsy9(chr(718 - 670) + chr(0b100100 + 0o113) + chr(0b110010) + chr(0b110000) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1614 - 1566) + '\x6f' + chr(341 - 291) + '\064' + chr(601 - 552), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\065' + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100010 + 0o25) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b110000) + chr(2808 - 2754), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101011 + 0o104) + chr(1793 - 1743) + chr(2204 - 2156) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(783 - 732) + chr(446 - 397) + chr(1740 - 1687), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10011 + 0o134) + chr(54) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(1542 - 1491) + chr(0b110101) + chr(0b110001 + 0o6), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(363 - 312) + '\064' + chr(372 - 321), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010), 8), ehT0Px3KOsy9(chr(1477 - 1429) + chr(0b1010 + 0o145) + '\x33' + chr(0b110011) + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + '\x33' + chr(53) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(11347 - 11236) + chr(0b101010 + 0o7) + chr(0b10000 + 0o42), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b110100) + chr(101 - 51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(55) + chr(0b1111 + 0o47), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4035 - 3924) + chr(0b110001) + chr(51) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(0b110001 + 0o4) + '\x34', 8), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(2501 - 2390) + chr(50) + chr(48) + '\063', 8), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(1212 - 1101) + chr(50) + chr(1317 - 1267) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(535 - 424) + chr(0b100111 + 0o13) + chr(1284 - 1236) + '\x33', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b100001 + 0o21) + chr(0b1100 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6540 - 6429) + chr(1096 - 1046) + chr(0b110110) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(903 - 792) + chr(52) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111101 + 0o62) + '\063' + chr(0b110101) + chr(2635 - 2580), 8), ehT0Px3KOsy9('\x30' + chr(239 - 128) + '\x34' + chr(2497 - 2446), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061' + '\060' + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(0b101001 + 0o106) + '\x32' + chr(2163 - 2114) + chr(1529 - 1475), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(48) + chr(0b110010), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1001100 + 0o43) + chr(0b110101) + chr(440 - 392), 61095 - 61087)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x07'), chr(2885 - 2785) + '\x65' + '\x63' + chr(10232 - 10121) + chr(100) + chr(0b100001 + 0o104))(chr(117) + chr(12173 - 12057) + chr(1801 - 1699) + '\x2d' + chr(2587 - 2531)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def j9KKK_JBKUZX(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
Wv5lajduifZe = ehT0Px3KOsy9('\060' + '\157' + chr(0b11001 + 0o27), 49820 - 49812)
JOJkiZgSUrDK = ehT0Px3KOsy9(chr(0b110000) + chr(9406 - 9295) + chr(48), 8)
gDUX9w35YHFE = ehT0Px3KOsy9('\x30' + chr(1460 - 1349) + '\061', 0o10)
FjcovgoHM1LG = ehT0Px3KOsy9(chr(191 - 143) + chr(780 - 669) + chr(0b110001), 8)
if xafqLlk3kkUe(SXOLrMavuUCe(b']\xbb\x91K\x05;'), chr(0b1010010 + 0o22) + chr(0b1100101) + chr(99) + '\x6f' + '\x64' + '\145')('\x75' + '\164' + '\146' + chr(0b101101) + '\070') in oIhwMA96NShQ:
Wv5lajduifZe = oIhwMA96NShQ[xafqLlk3kkUe(SXOLrMavuUCe(b']\xbb\x91K\x05;'), '\x64' + '\x65' + chr(0b1100011) + chr(6389 - 6278) + chr(0b1100100) + chr(101))(chr(0b110 + 0o157) + chr(0b1011 + 0o151) + chr(0b1100110) + '\055' + chr(0b111000))]
if xafqLlk3kkUe(SXOLrMavuUCe(b']\xbb\x91K\x058'), chr(0b10110 + 0o116) + chr(0b1001110 + 0o27) + '\x63' + '\157' + chr(0b1100100) + chr(4694 - 4593))(chr(0b101 + 0o160) + chr(7771 - 7655) + chr(102) + chr(0b101101) + '\070') in oIhwMA96NShQ:
JOJkiZgSUrDK = oIhwMA96NShQ[xafqLlk3kkUe(SXOLrMavuUCe(b']\xbb\x91K\x058'), chr(0b1011010 + 0o12) + chr(0b1100101) + '\x63' + chr(0b1101111) + '\x64' + '\145')(chr(0b1110101) + chr(5689 - 5573) + chr(0b1001110 + 0o30) + '\x2d' + chr(2848 - 2792))]
if xafqLlk3kkUe(SXOLrMavuUCe(b'H\xa5\x80M\x17'), chr(0b1100100) + '\145' + '\143' + chr(111) + chr(0b1100100) + chr(101))(chr(0b1011110 + 0o27) + chr(725 - 609) + chr(0b101001 + 0o75) + chr(101 - 56) + '\x38') in oIhwMA96NShQ:
gDUX9w35YHFE = oIhwMA96NShQ[xafqLlk3kkUe(SXOLrMavuUCe(b'H\xa5\x80M\x17'), '\x64' + chr(0b1001011 + 0o32) + chr(8605 - 8506) + chr(0b1011110 + 0o21) + chr(9986 - 9886) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(56))]
if xafqLlk3kkUe(SXOLrMavuUCe(b'K\xac\x84D'), chr(8760 - 8660) + '\x65' + '\x63' + chr(7783 - 7672) + chr(0b1100100) + chr(101))('\x75' + chr(1969 - 1853) + '\146' + chr(0b101101) + chr(56)) in oIhwMA96NShQ:
FjcovgoHM1LG = oIhwMA96NShQ[xafqLlk3kkUe(SXOLrMavuUCe(b'K\xac\x84D'), chr(0b100011 + 0o101) + chr(0b1011000 + 0o15) + '\x63' + chr(0b1001111 + 0o40) + '\144' + chr(101))(chr(2417 - 2300) + chr(0b1011001 + 0o33) + chr(0b1100110) + chr(0b101010 + 0o3) + chr(0b111000))]
CIm8umfMoZmj = Usr5ykvL2UZF.dbBtynT6oMgz(vXoupepMtCXU[ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(0b110000), 8)])
EemsEoJkit3G = Usr5ykvL2UZF.linalg_gemm2(A=CIm8umfMoZmj, B=vXoupepMtCXU[ehT0Px3KOsy9('\x30' + '\157' + chr(1550 - 1501), 8)], transpose_a=Wv5lajduifZe, transpose_b=JOJkiZgSUrDK, alpha=gDUX9w35YHFE)
BzhJow6SxwNI = Usr5ykvL2UZF.broadcast_add(EemsEoJkit3G, FjcovgoHM1LG * vXoupepMtCXU[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2105 - 2055), 8)])
Oynw8flqk0TY = e_2m_ddtWLQF._fix_attribute_names(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b']\xbb\x91K\x05;'), chr(0b110100 + 0o60) + chr(101) + chr(1103 - 1004) + '\x6f' + chr(100) + chr(101))(chr(9136 - 9019) + chr(116) + '\x66' + chr(0b11011 + 0o22) + '\070'): xafqLlk3kkUe(SXOLrMavuUCe(b']\xbb\x91K\x05\nC*\xe6\xfe\xca'), chr(9887 - 9787) + '\x65' + chr(0b1100010 + 0o1) + '\157' + chr(6533 - 6433) + chr(101))(chr(0b1110101) + chr(0b100101 + 0o117) + chr(1090 - 988) + '\x2d' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b']\xbb\x91K\x058'), chr(0b110010 + 0o62) + chr(5218 - 5117) + chr(99) + chr(0b11011 + 0o124) + '\x64' + chr(0b1100011 + 0o2))(chr(13384 - 13267) + chr(116) + chr(102) + '\x2d' + chr(1679 - 1623)): xafqLlk3kkUe(SXOLrMavuUCe(b']\xbb\x91K\x05\nC*\xe6\xfe\xc9'), '\x64' + chr(101) + chr(99) + chr(0b100010 + 0o115) + chr(0b1010111 + 0o15) + chr(0b1100101))(chr(0b1110101) + chr(5962 - 5846) + chr(0b111000 + 0o56) + chr(45) + chr(0b0 + 0o70))})
Oynw8flqk0TY = e_2m_ddtWLQF._remove_attributes(Oynw8flqk0TY, [xafqLlk3kkUe(SXOLrMavuUCe(b'K\xbb\x9fD\x12\x19M*\xf7'), chr(3828 - 3728) + chr(2717 - 2616) + chr(0b1001111 + 0o24) + chr(9446 - 9335) + chr(6428 - 6328) + chr(752 - 651))(chr(117) + chr(0b1110100) + chr(102) + '\x2d' + '\x38')])
return (BzhJow6SxwNI, Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
local_response_norm
|
def local_response_norm(attrs, inputs, proto_obj):
"""Local Response Normalization."""
new_attrs = translation_utils._fix_attribute_names(attrs,
{'bias': 'knorm',
'size' : 'nsize'})
return 'LRN', new_attrs, inputs
|
python
|
def local_response_norm(attrs, inputs, proto_obj):
"""Local Response Normalization."""
new_attrs = translation_utils._fix_attribute_names(attrs,
{'bias': 'knorm',
'size' : 'nsize'})
return 'LRN', new_attrs, inputs
|
[
"def",
"local_response_norm",
"(",
"attrs",
",",
"inputs",
",",
"proto_obj",
")",
":",
"new_attrs",
"=",
"translation_utils",
".",
"_fix_attribute_names",
"(",
"attrs",
",",
"{",
"'bias'",
":",
"'knorm'",
",",
"'size'",
":",
"'nsize'",
"}",
")",
"return",
"'LRN'",
",",
"new_attrs",
",",
"inputs"
] |
Local Response Normalization.
|
[
"Local",
"Response",
"Normalization",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L439-L444
|
train
|
Local Response Normalization.
|
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(0b110111) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b100011 + 0o15) + chr(54), 107 - 99), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(1958 - 1910) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(2458 - 2347) + chr(521 - 472) + '\x31' + '\064', 21027 - 21019), ehT0Px3KOsy9(chr(48) + chr(3491 - 3380) + '\x32' + chr(0b0 + 0o60) + chr(1149 - 1095), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\x37' + chr(0b110011), 35534 - 35526), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\062' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(222 - 174) + '\157' + chr(2467 - 2416) + '\x30' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + '\064' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(11652 - 11541) + chr(0b110001) + chr(0b1110 + 0o45) + chr(1324 - 1271), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b100001 + 0o17) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(1494 - 1442) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2226 - 2176) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(2191 - 2143) + '\x6f' + chr(53), 63012 - 63004), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\x31' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1250 - 1199) + chr(0b110110) + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(0b10000 + 0o45) + chr(2072 - 2021), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(48) + chr(0b1110 + 0o42), ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + chr(0b10111 + 0o33) + chr(0b11011 + 0o26) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1045 - 996) + chr(2391 - 2340) + chr(321 - 272), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(347 - 297) + chr(54) + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(2352 - 2303) + chr(115 - 65) + chr(0b11101 + 0o26), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011111 + 0o20) + '\x32' + chr(0b110001) + '\x37', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(0b110010) + chr(0b110010), 57388 - 57380), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101111 + 0o4) + chr(0b100100 + 0o23) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1082 - 1032) + chr(54) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(4251 - 4140) + chr(0b110010) + chr(51) + chr(0b110000 + 0o7), ord("\x08")), ehT0Px3KOsy9('\060' + chr(5824 - 5713) + chr(0b10000 + 0o41) + '\x31' + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(433 - 384) + '\067' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(2105 - 2057) + chr(0b1101111) + chr(51) + '\x32' + chr(0b110001 + 0o1), 61759 - 61751), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b11110 + 0o121) + chr(0b11000 + 0o33) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(0b1111 + 0o140) + chr(0b110001) + '\067' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(50) + chr(1804 - 1751) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\061' + chr(53), 64690 - 64682), ehT0Px3KOsy9('\060' + chr(12306 - 12195) + chr(1730 - 1679) + chr(0b11010 + 0o34) + chr(1241 - 1190), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1452 - 1401) + '\x34' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b11010 + 0o125) + chr(49) + '\067' + '\x36', 55337 - 55329), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(2687 - 2633) + chr(1683 - 1629), ord("\x08")), ehT0Px3KOsy9(chr(109 - 61) + chr(1853 - 1742) + '\x31' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(0b11011 + 0o26) + '\065' + chr(0b110100), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2066 - 2018) + '\157' + chr(291 - 238) + chr(0b110000), 31122 - 31114)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5'), chr(0b1010110 + 0o16) + '\x65' + chr(0b111000 + 0o53) + chr(6500 - 6389) + chr(212 - 112) + chr(893 - 792))(chr(2587 - 2470) + chr(10739 - 10623) + chr(102) + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def uYl5N3quuynr(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
Oynw8flqk0TY = e_2m_ddtWLQF._fix_attribute_names(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'\x99/#?'), chr(0b1100100) + chr(0b11110 + 0o107) + '\x63' + '\x6f' + '\x64' + chr(0b1000100 + 0o41))(chr(117) + chr(116) + chr(0b11111 + 0o107) + chr(0b101101) + chr(2779 - 2723)): xafqLlk3kkUe(SXOLrMavuUCe(b'\x90(->\xeb'), '\144' + chr(0b10110 + 0o117) + chr(99) + '\157' + chr(0b1100100) + '\145')(chr(117) + chr(116) + '\146' + chr(0b100111 + 0o6) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x88/8)'), chr(0b110100 + 0o60) + chr(101) + '\143' + '\157' + '\144' + '\145')(chr(0b1100 + 0o151) + chr(0b10100 + 0o140) + chr(4078 - 3976) + chr(0b1100 + 0o41) + '\070'): xafqLlk3kkUe(SXOLrMavuUCe(b'\x955+6\xe3'), chr(0b1100100) + '\x65' + chr(0b110010 + 0o61) + '\x6f' + chr(3004 - 2904) + '\145')(chr(117) + chr(0b1100100 + 0o20) + chr(102) + chr(0b10001 + 0o34) + '\070')})
return (xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\x14\x0c'), '\144' + chr(0b101011 + 0o72) + chr(0b11000 + 0o113) + chr(4520 - 4409) + chr(0b110110 + 0o56) + '\x65')('\x75' + chr(7774 - 7658) + '\x66' + chr(0b10011 + 0o32) + chr(56)), Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
dropout
|
def dropout(attrs, inputs, proto_obj):
"""Dropout Regularization."""
mode = 'training'
if 'is_test' in attrs and attrs['is_test'] == 0:
mode = 'always'
new_attrs = translation_utils._fix_attribute_names(attrs,
{'ratio': 'p'})
new_attrs = translation_utils._remove_attributes(new_attrs, ['is_test'])
new_attrs = translation_utils._add_extra_attributes(new_attrs, {'mode': mode})
return 'Dropout', new_attrs, inputs
|
python
|
def dropout(attrs, inputs, proto_obj):
"""Dropout Regularization."""
mode = 'training'
if 'is_test' in attrs and attrs['is_test'] == 0:
mode = 'always'
new_attrs = translation_utils._fix_attribute_names(attrs,
{'ratio': 'p'})
new_attrs = translation_utils._remove_attributes(new_attrs, ['is_test'])
new_attrs = translation_utils._add_extra_attributes(new_attrs, {'mode': mode})
return 'Dropout', new_attrs, inputs
|
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"'is_test'",
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":",
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"'always'",
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"_fix_attribute_names",
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",",
"{",
"'ratio'",
":",
"'p'",
"}",
")",
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"_remove_attributes",
"(",
"new_attrs",
",",
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")",
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"{",
"'mode'",
":",
"mode",
"}",
")",
"return",
"'Dropout'",
",",
"new_attrs",
",",
"inputs"
] |
Dropout Regularization.
|
[
"Dropout",
"Regularization",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L446-L455
|
train
|
Dropout Regularization.
|
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(1136 - 1088) + chr(111) + '\x32' + '\x30' + chr(0b110001), 21327 - 21319), ehT0Px3KOsy9(chr(1144 - 1096) + chr(0b101011 + 0o104) + chr(50) + chr(53) + chr(50), 0o10), ehT0Px3KOsy9(chr(1806 - 1758) + chr(5050 - 4939) + chr(0b101011 + 0o7) + chr(0b101001 + 0o15) + chr(0b101010 + 0o13), 5418 - 5410), ehT0Px3KOsy9(chr(48) + chr(6973 - 6862) + '\x33' + chr(0b10110 + 0o36) + chr(1193 - 1142), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(53) + chr(51), 52884 - 52876), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11110 + 0o25) + chr(2424 - 2371) + chr(2090 - 2039), 12411 - 12403), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1884 - 1835) + '\061' + chr(204 - 155), 0b1000), ehT0Px3KOsy9(chr(907 - 859) + chr(909 - 798) + '\x31' + chr(0b110101) + chr(259 - 210), 40056 - 40048), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + '\x36' + chr(1668 - 1619), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1228 - 1178) + chr(53) + '\062', 8), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b110111) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(276 - 226) + '\x37' + '\x30', 0o10), ehT0Px3KOsy9('\x30' + chr(8237 - 8126) + chr(2695 - 2640) + '\x36', 36152 - 36144), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(0b110011) + chr(49) + chr(0b1111 + 0o45), 22015 - 22007), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + '\064' + chr(1878 - 1829), 50873 - 50865), ehT0Px3KOsy9('\x30' + chr(10996 - 10885) + chr(0b110010) + chr(51) + chr(0b10111 + 0o33), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101001 + 0o106) + chr(0b110010) + chr(50) + chr(49), 31062 - 31054), ehT0Px3KOsy9(chr(2276 - 2228) + '\157' + chr(0b110011) + '\065' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2803 - 2748) + chr(905 - 855), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(1771 - 1719) + chr(0b101100 + 0o4), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6792 - 6681) + chr(1876 - 1826) + '\x37' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(0b110101) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(4540 - 4429) + '\x32' + chr(54) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1287 - 1239) + chr(10107 - 9996) + chr(49) + chr(0b1010 + 0o54) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(1258 - 1208) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(0b101011 + 0o6) + '\063' + '\x37', 21136 - 21128), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110000 + 0o2) + chr(0b1001 + 0o56), 47 - 39), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(6719 - 6608) + '\062' + '\x32' + chr(50), 0b1000), ehT0Px3KOsy9(chr(1375 - 1327) + '\x6f' + chr(1545 - 1491) + '\x35', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(817 - 766) + '\x35' + chr(0b10101 + 0o41), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11 + 0o154) + chr(0b110011) + '\063' + '\x31', 35360 - 35352), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(0b110100) + chr(2015 - 1967), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(1234 - 1182), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010100 + 0o33) + chr(0b1000 + 0o52) + chr(2739 - 2686) + chr(0b110001), 8), ehT0Px3KOsy9(chr(366 - 318) + '\x6f' + '\x33' + chr(0b1001 + 0o51) + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\x33' + chr(50), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + '\062' + '\x30', 0b1000), ehT0Px3KOsy9(chr(1044 - 996) + chr(0b11 + 0o154) + '\067', 49212 - 49204), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1690 - 1640) + chr(52) + '\x37', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1847 - 1799) + '\x6f' + chr(0b1000 + 0o55) + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf'), chr(0b100101 + 0o77) + chr(101) + '\x63' + chr(0b1101111) + chr(2653 - 2553) + chr(0b1100101))(chr(2134 - 2017) + chr(116) + chr(0b1100110) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ag0mwEgWzjYv(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
holLFgwB7vsP = xafqLlk3kkUe(SXOLrMavuUCe(b"\xf5\xd8\xd4\x8a\xc5\x82'\x0e"), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(2994 - 2894) + '\145')(chr(0b1100101 + 0o20) + '\164' + chr(0b1100110) + '\055' + chr(0b100001 + 0o27))
if xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xd9\xea\x97\xce\x98='), chr(100) + '\145' + chr(0b111000 + 0o53) + '\x6f' + chr(0b1100100) + chr(6465 - 6364))(chr(0b110000 + 0o105) + chr(0b1110100) + chr(102) + chr(45) + chr(0b111000)) in oIhwMA96NShQ and oIhwMA96NShQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xd9\xea\x97\xce\x98='), '\144' + chr(5153 - 5052) + chr(189 - 90) + '\157' + '\x64' + chr(0b1100101))(chr(4505 - 4388) + chr(0b1110100) + chr(0b1100 + 0o132) + '\x2d' + chr(0b1001 + 0o57))] == ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(584 - 536), 49437 - 49429):
holLFgwB7vsP = xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xc6\xc2\x82\xd2\x98'), chr(100) + '\x65' + chr(99) + '\x6f' + chr(0b1100100) + chr(0b1001110 + 0o27))(chr(0b1110101) + chr(13182 - 13066) + chr(0b1100110) + '\055' + '\070')
Oynw8flqk0TY = e_2m_ddtWLQF._fix_attribute_names(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\xcb\xc1\x8a\xc4'), chr(9152 - 9052) + chr(0b1100101) + chr(0b1011001 + 0o12) + chr(0b111100 + 0o63) + chr(0b11010 + 0o112) + '\145')(chr(0b111101 + 0o70) + chr(0b11101 + 0o127) + chr(0b1100110) + chr(0b101101) + '\070'): xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1'), chr(0b11001 + 0o113) + '\x65' + chr(0b100101 + 0o76) + '\x6f' + '\x64' + '\145')(chr(0b1110101) + chr(13346 - 13230) + '\146' + '\055' + chr(187 - 131))})
Oynw8flqk0TY = e_2m_ddtWLQF._remove_attributes(Oynw8flqk0TY, [xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xd9\xea\x97\xce\x98='), '\144' + '\x65' + chr(9586 - 9487) + chr(0b1101111) + chr(0b1010100 + 0o20) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b110000 + 0o66) + chr(0b101001 + 0o4) + '\070')])
Oynw8flqk0TY = e_2m_ddtWLQF._add_extra_attributes(Oynw8flqk0TY, {xafqLlk3kkUe(SXOLrMavuUCe(b'\xec\xc5\xd1\x86'), '\144' + chr(6453 - 6352) + chr(0b1000111 + 0o34) + chr(111) + '\144' + chr(101))(chr(7420 - 7303) + '\x74' + '\146' + chr(823 - 778) + '\070'): holLFgwB7vsP})
return (xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xd8\xda\x93\xc4\x9e='), chr(100) + '\145' + chr(0b110010 + 0o61) + chr(111) + chr(0b1100100) + chr(101))('\x75' + '\x74' + chr(6759 - 6657) + chr(45) + chr(0b111000)), Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
reshape
|
def reshape(attrs, inputs, proto_obj):
"""Reshape the given array by the shape attribute."""
if len(inputs) == 1:
return 'reshape', attrs, inputs[0]
reshape_shape = list(proto_obj._params[inputs[1].name].asnumpy())
reshape_shape = [int(i) for i in reshape_shape]
new_attrs = {'shape': reshape_shape}
return 'reshape', new_attrs, inputs[:1]
|
python
|
def reshape(attrs, inputs, proto_obj):
"""Reshape the given array by the shape attribute."""
if len(inputs) == 1:
return 'reshape', attrs, inputs[0]
reshape_shape = list(proto_obj._params[inputs[1].name].asnumpy())
reshape_shape = [int(i) for i in reshape_shape]
new_attrs = {'shape': reshape_shape}
return 'reshape', new_attrs, inputs[:1]
|
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] |
Reshape the given array by the shape attribute.
|
[
"Reshape",
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"attribute",
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L458-L465
|
train
|
Reshape the given array by the shape attribute.
|
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(2057 - 2009) + '\x6f' + chr(0b110010) + chr(0b1101 + 0o51) + '\066', 39241 - 39233), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(312 - 262) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(1734 - 1686) + '\157' + '\062' + chr(0b110101) + '\x33', 32366 - 32358), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x37' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(704 - 593) + '\x34' + chr(0b1100 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1072 - 961) + '\061' + '\x34' + '\067', 8025 - 8017), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(1709 - 1598) + chr(49) + chr(2190 - 2142) + chr(0b110100), 31012 - 31004), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(0b100111 + 0o17) + chr(2288 - 2236), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(0b110011) + chr(0b10 + 0o56) + chr(0b0 + 0o65), 0b1000), ehT0Px3KOsy9(chr(207 - 159) + chr(0b1101111) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110111 + 0o70) + chr(49) + '\064' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2033 - 1983) + '\060' + chr(0b110000), 54559 - 54551), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(0b110001) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + '\x33' + chr(1925 - 1873) + chr(0b110011), 11740 - 11732), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(55) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111000 + 0o67) + '\062' + chr(48) + chr(2790 - 2736), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3839 - 3728) + chr(0b110010) + chr(48) + chr(0b110111), 31079 - 31071), ehT0Px3KOsy9(chr(2165 - 2117) + '\x6f' + '\x36' + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9009 - 8898) + '\061' + '\x36' + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + '\x31' + '\060', 52469 - 52461), ehT0Px3KOsy9('\x30' + '\157' + '\061' + '\x32' + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b110000) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(207 - 159) + '\x6f' + '\x33' + chr(441 - 390) + chr(0b110001), 40464 - 40456), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\066', 53335 - 53327), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011), 8), ehT0Px3KOsy9(chr(2110 - 2062) + chr(111) + chr(52), 39230 - 39222), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(0b110010 + 0o2) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(5855 - 5744) + chr(468 - 419) + chr(0b10111 + 0o40) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(1061 - 1013) + '\157' + '\x32' + chr(0b110100 + 0o3) + chr(0b1011 + 0o54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100101 + 0o16) + chr(848 - 799) + chr(0b10 + 0o57), 45782 - 45774), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + '\x33' + '\064' + chr(1737 - 1682), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(0b110001) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(261 - 209) + chr(685 - 635), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2238 - 2188) + chr(1492 - 1443) + chr(571 - 522), 53598 - 53590), ehT0Px3KOsy9('\060' + chr(6769 - 6658) + chr(310 - 259) + chr(55) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111 + 0o150) + '\062' + chr(0b11001 + 0o27) + '\064', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + '\067' + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010 + 0o145) + chr(0b111 + 0o53) + chr(1793 - 1744), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(0b110001 + 0o6) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(1240 - 1192) + chr(0b1101111) + chr(0b110001 + 0o2) + chr(0b11101 + 0o23) + chr(54), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b101110 + 0o101) + chr(0b11001 + 0o34) + chr(290 - 242), 51616 - 51608)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x98'), chr(9845 - 9745) + chr(10029 - 9928) + chr(99) + chr(111) + '\144' + chr(101))(chr(0b1110101) + '\x74' + chr(0b100011 + 0o103) + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def CZESqVmz1gYg(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
if c2A0yzQpDQB3(vXoupepMtCXU) == ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + chr(1143 - 1094), ord("\x08")):
return (xafqLlk3kkUe(SXOLrMavuUCe(b'\xc46\xd8PF\x17!'), '\144' + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(116) + chr(6744 - 6642) + '\055' + chr(56)), oIhwMA96NShQ, vXoupepMtCXU[ehT0Px3KOsy9('\060' + '\157' + chr(0b10101 + 0o33), 0b1000)])
TTb6rlTz2h_U = YyaZ4tpXu4lf(tKGh31ynuvmM._params[vXoupepMtCXU[ehT0Px3KOsy9('\x30' + chr(0b1000001 + 0o56) + chr(2352 - 2303), 8)].name].asnumpy())
TTb6rlTz2h_U = [ehT0Px3KOsy9(WVxHKyX45z_L) for WVxHKyX45z_L in TTb6rlTz2h_U]
Oynw8flqk0TY = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5;\xcaHB'), chr(9719 - 9619) + chr(8581 - 8480) + '\x63' + chr(4583 - 4472) + chr(0b1001000 + 0o34) + chr(101))('\x75' + chr(11970 - 11854) + chr(0b1100110) + chr(0b1111 + 0o36) + '\x38'): TTb6rlTz2h_U}
return (xafqLlk3kkUe(SXOLrMavuUCe(b'\xc46\xd8PF\x17!'), chr(6547 - 6447) + chr(101) + chr(99) + '\x6f' + chr(4437 - 4337) + '\x65')(chr(0b1110101) + '\164' + '\x66' + chr(0b11110 + 0o17) + chr(56)), Oynw8flqk0TY, vXoupepMtCXU[:ehT0Px3KOsy9(chr(699 - 651) + chr(0b1101111) + chr(0b11 + 0o56), 8)])
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
cast
|
def cast(attrs, inputs, proto_obj):
""" Cast input to a given dtype"""
try:
from onnx.mapping import TENSOR_TYPE_TO_NP_TYPE
except ImportError:
raise ImportError("Onnx and protobuf need to be installed. "
+ "Instructions to install - https://github.com/onnx/onnx")
new_attrs = translation_utils._fix_attribute_names(attrs, {'to' : 'dtype'})
new_attrs['dtype'] = TENSOR_TYPE_TO_NP_TYPE[int(new_attrs['dtype'])]
return 'cast', new_attrs, inputs
|
python
|
def cast(attrs, inputs, proto_obj):
""" Cast input to a given dtype"""
try:
from onnx.mapping import TENSOR_TYPE_TO_NP_TYPE
except ImportError:
raise ImportError("Onnx and protobuf need to be installed. "
+ "Instructions to install - https://github.com/onnx/onnx")
new_attrs = translation_utils._fix_attribute_names(attrs, {'to' : 'dtype'})
new_attrs['dtype'] = TENSOR_TYPE_TO_NP_TYPE[int(new_attrs['dtype'])]
return 'cast', new_attrs, inputs
|
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"(",
"\"Onnx and protobuf need to be installed. \"",
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"\"Instructions to install - https://github.com/onnx/onnx\"",
")",
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"_fix_attribute_names",
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",",
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"'to'",
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"]",
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"[",
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"]",
")",
"]",
"return",
"'cast'",
",",
"new_attrs",
",",
"inputs"
] |
Cast input to a given dtype
|
[
"Cast",
"input",
"to",
"a",
"given",
"dtype"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L467-L476
|
train
|
Cast input to a given dtype
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\x37' + '\063', 0o10), ehT0Px3KOsy9(chr(499 - 451) + '\157' + chr(1592 - 1543) + chr(0b10000 + 0o41) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(5245 - 5134) + '\x32' + chr(0b110101) + chr(324 - 275), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(1756 - 1706) + chr(0b110100 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11101 + 0o26) + chr(51) + chr(209 - 160), 0b1000), ehT0Px3KOsy9('\x30' + chr(8656 - 8545) + chr(51) + chr(0b110111) + chr(1018 - 968), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1011010 + 0o25) + chr(50) + '\067' + '\x33', 29568 - 29560), ehT0Px3KOsy9(chr(1380 - 1332) + '\157' + chr(49) + '\x35' + chr(2008 - 1955), 0o10), ehT0Px3KOsy9(chr(1151 - 1103) + chr(111) + chr(0b110011) + '\x32' + '\067', 13338 - 13330), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\066' + chr(0b110110), 60240 - 60232), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(0b110001) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(54) + chr(2579 - 2526), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1506 - 1456) + '\x35' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001110 + 0o41) + chr(1083 - 1032) + chr(1932 - 1883) + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000010 + 0o55) + chr(51) + chr(0b110101) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(0b110000 + 0o1) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110 + 0o151) + '\064' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + '\x31' + chr(55) + chr(553 - 505), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(637 - 526) + chr(0b1101 + 0o45) + chr(0b110011) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(209 - 98) + chr(558 - 509) + chr(0b110111) + chr(0b1001 + 0o54), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + '\061' + chr(0b10011 + 0o36) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7657 - 7546) + chr(49) + chr(1303 - 1254) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1010001 + 0o36) + chr(1454 - 1403) + '\x34' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + '\x31' + '\x31' + chr(0b100101 + 0o14), 20592 - 20584), ehT0Px3KOsy9(chr(1440 - 1392) + chr(0b10001 + 0o136) + chr(0b110111) + chr(0b100101 + 0o13), 0o10), ehT0Px3KOsy9('\x30' + chr(4681 - 4570) + '\x31' + '\x32' + chr(53), 38050 - 38042), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1011110 + 0o21) + chr(474 - 422) + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(0b0 + 0o67) + chr(0b10111 + 0o32), 50966 - 50958), ehT0Px3KOsy9('\060' + chr(11100 - 10989) + chr(796 - 747) + '\065' + chr(1547 - 1499), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1658 - 1605), 0o10), ehT0Px3KOsy9(chr(540 - 492) + chr(0b1101111) + '\063' + chr(2182 - 2129) + chr(1862 - 1813), 54387 - 54379), ehT0Px3KOsy9(chr(516 - 468) + '\157' + '\x31' + chr(49) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(0b110010) + '\x32' + chr(0b100101 + 0o17), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\x36' + '\x33', 41698 - 41690), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b110010) + chr(2504 - 2451), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1526 - 1473), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10100 + 0o41) + chr(0b11000 + 0o31), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\063' + '\x30' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4871 - 4760) + chr(0b110101) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100000 + 0o17) + chr(1009 - 959) + chr(0b11111 + 0o25) + chr(0b110001), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + '\065' + '\060', 44313 - 44305)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5'), '\x64' + chr(698 - 597) + '\x63' + chr(1231 - 1120) + chr(0b1011100 + 0o10) + chr(0b1100101))(chr(0b1000011 + 0o62) + chr(0b1101101 + 0o7) + chr(4500 - 4398) + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def iMeWigHN5SYe(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
try:
(Hg1mjXZBo0to,) = (xafqLlk3kkUe(xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\x94!\xc7\xad\xf7\x97\xda\x1d\xa7\xdfb\x12'), chr(0b110000 + 0o64) + chr(6254 - 6153) + chr(0b1000000 + 0o43) + chr(0b1011010 + 0o25) + '\x64' + '\145')('\x75' + '\164' + '\146' + '\055' + chr(0b1010 + 0o56)), xafqLlk3kkUe(SXOLrMavuUCe(b"\xaf\n\xe7\x86\x96\xa8\xe49\x8e\xe6I*\xfb\x83\xb5\x80v'\xc8$\x1d\r"), chr(100) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b1100011 + 0o1) + '\145')('\165' + chr(0b10000 + 0o144) + chr(8486 - 8384) + '\x2d' + chr(0b111000))), xafqLlk3kkUe(SXOLrMavuUCe(b'\x96.\xd9\xa5\xb0\x94\xdc'), chr(0b110000 + 0o64) + chr(101) + chr(0b1100011) + chr(1469 - 1358) + '\144' + chr(3525 - 3424))(chr(4055 - 3938) + chr(0b1110010 + 0o2) + chr(0b1010110 + 0o20) + '\055' + chr(0b111000))), xafqLlk3kkUe(SXOLrMavuUCe(b"\xaf\n\xe7\x86\x96\xa8\xe49\x8e\xe6I*\xfb\x83\xb5\x80v'\xc8$\x1d\r"), '\x64' + chr(0b1100101) + '\x63' + '\157' + '\144' + chr(0b1100101))('\165' + '\x74' + chr(0b11011 + 0o113) + '\x2d' + chr(56))),)
except yROw0HWBk0Qc:
raise yROw0HWBk0Qc(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4!\xc7\xad\xf9\x9b\xd5\t\xf7\xc6~\x1a\xdb\xa3\x88\xbb@X\xf2\x18(,\xc5=WuA\x9cHl\x878\xe0\xd29iL\xa2\x00\x81'), '\144' + chr(5146 - 5045) + chr(0b1100011) + chr(0b1000010 + 0o55) + '\x64' + chr(0b1100101))(chr(117) + '\164' + chr(8067 - 7965) + chr(45) + chr(0b110001 + 0o7)) + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2!\xda\xa1\xab\x8f\xd8\x19\xbe\xd9b\x06\x8f\xb8\x85\xeeO\x16\xef\t,$\x89i\x15uK\x8d\x1cu\x9aq\xbb\x9c2l]\xae[\xc3\xd5,\xc6\xb8\xf6\x95\xd5\x03\xaf\x99c\x1b\xc1\xb4'), chr(2272 - 2172) + chr(9743 - 9642) + chr(0b10111 + 0o114) + chr(0b101001 + 0o106) + '\144' + chr(0b1100101))(chr(117) + chr(10826 - 10710) + chr(0b1100110) + '\x2d' + '\070'))
Oynw8flqk0TY = e_2m_ddtWLQF._fix_attribute_names(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f '), '\144' + '\x65' + '\x63' + chr(111) + chr(4620 - 4520) + chr(0b1100 + 0o131))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(56)): xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f;\xd0\xa5\xbc'), '\144' + chr(0b1100101) + '\143' + '\x6f' + '\x64' + '\x65')(chr(7590 - 7473) + chr(0b1110100) + chr(6432 - 6330) + '\055' + '\x38')})
Oynw8flqk0TY[xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f;\xd0\xa5\xbc'), chr(100) + '\145' + '\143' + '\157' + '\144' + chr(1891 - 1790))(chr(0b1001010 + 0o53) + chr(1929 - 1813) + chr(0b1100110) + chr(45) + chr(3119 - 3063))] = Hg1mjXZBo0to[ehT0Px3KOsy9(Oynw8flqk0TY[xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f;\xd0\xa5\xbc'), chr(5886 - 5786) + chr(0b1100101) + '\x63' + chr(251 - 140) + '\144' + chr(5797 - 5696))('\x75' + '\164' + '\146' + chr(0b101101) + chr(0b111000))])]
return (xafqLlk3kkUe(SXOLrMavuUCe(b'\x98.\xda\xa1'), chr(0b111010 + 0o52) + chr(0b101 + 0o140) + chr(99) + '\157' + '\x64' + '\x65')('\x75' + chr(1862 - 1746) + chr(0b1100110) + chr(0b101101) + chr(0b110 + 0o62)), Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
split
|
def split(attrs, inputs, proto_obj):
"""Splits an array along a particular axis into multiple sub-arrays."""
split_list = attrs.get('split') if 'split' in attrs else []
new_attrs = translation_utils._fix_attribute_names(attrs,
{'split' : 'num_outputs'})
if 'axis' not in attrs:
new_attrs = translation_utils._add_extra_attributes(new_attrs, {'axis': 0})
if not split_list:
num_outputs = len(proto_obj.model_metadata.get('output_tensor_data'))
else:
if len(set(split_list)) == 1:
num_outputs = len(split_list)
else:
raise NotImplementedError("Operator {} in MXNet does not support variable splits."
"Tracking the issue to support variable split here: "
"https://github.com/apache/incubator-mxnet/issues/11594"
.format('split'))
new_attrs['num_outputs'] = num_outputs
return 'split', new_attrs, inputs
|
python
|
def split(attrs, inputs, proto_obj):
"""Splits an array along a particular axis into multiple sub-arrays."""
split_list = attrs.get('split') if 'split' in attrs else []
new_attrs = translation_utils._fix_attribute_names(attrs,
{'split' : 'num_outputs'})
if 'axis' not in attrs:
new_attrs = translation_utils._add_extra_attributes(new_attrs, {'axis': 0})
if not split_list:
num_outputs = len(proto_obj.model_metadata.get('output_tensor_data'))
else:
if len(set(split_list)) == 1:
num_outputs = len(split_list)
else:
raise NotImplementedError("Operator {} in MXNet does not support variable splits."
"Tracking the issue to support variable split here: "
"https://github.com/apache/incubator-mxnet/issues/11594"
.format('split'))
new_attrs['num_outputs'] = num_outputs
return 'split', new_attrs, inputs
|
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] |
Splits an array along a particular axis into multiple sub-arrays.
|
[
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"along",
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"particular",
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"into",
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"-",
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L478-L498
|
train
|
Splits an array along a particular axis into multiple sub - arrays.
|
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(1289 - 1241) + chr(0b1101111) + '\x33' + '\066' + '\x30', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(53) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11 + 0o56) + chr(49) + chr(0b101011 + 0o12), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + '\062' + chr(0b100110 + 0o17) + '\x31', 0b1000), ehT0Px3KOsy9(chr(441 - 393) + chr(111) + chr(2150 - 2099) + chr(2670 - 2617) + chr(55), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\062' + '\060', 0b1000), ehT0Px3KOsy9(chr(71 - 23) + '\157' + '\x36' + chr(2200 - 2148), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10365 - 10254) + '\061' + chr(0b110110) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + '\062' + chr(0b100 + 0o61) + chr(0b101111 + 0o7), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(1236 - 1186) + chr(54) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(1500 - 1452) + chr(0b101110 + 0o101) + chr(0b11000 + 0o33) + '\060' + '\x36', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101001 + 0o11) + chr(0b10000 + 0o47), 1260 - 1252), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1110 + 0o45) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110001 + 0o76) + '\x32' + chr(0b11001 + 0o32) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + chr(0b110010) + chr(51), 25115 - 25107), ehT0Px3KOsy9('\x30' + '\157' + chr(778 - 729) + '\064' + chr(2208 - 2153), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(625 - 577) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(1791 - 1742) + '\062', 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + '\063' + chr(49) + chr(0b101000 + 0o14), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110100) + '\062', 19958 - 19950), ehT0Px3KOsy9(chr(48) + chr(0b1001110 + 0o41) + chr(0b100 + 0o56) + chr(49), 16441 - 16433), ehT0Px3KOsy9(chr(1880 - 1832) + chr(9913 - 9802) + chr(1402 - 1353) + chr(0b100110 + 0o21), 59980 - 59972), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(0b101100 + 0o12) + '\x36', 0o10), ehT0Px3KOsy9(chr(2188 - 2140) + '\157' + '\064' + chr(1367 - 1312), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b110111 + 0o70) + chr(0b11000 + 0o32) + chr(48) + '\062', 58430 - 58422), ehT0Px3KOsy9(chr(1367 - 1319) + chr(0b101 + 0o152) + chr(0b101101 + 0o6) + chr(51) + chr(2069 - 2018), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110 + 0o54) + chr(1896 - 1847) + chr(0b1 + 0o62), 0b1000), ehT0Px3KOsy9(chr(1109 - 1061) + '\157' + '\062' + '\060' + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(6549 - 6438) + '\x33' + chr(1060 - 1011), 29753 - 29745), ehT0Px3KOsy9(chr(983 - 935) + chr(0b1101111) + '\x34' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(52) + chr(54), 28426 - 28418), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\067' + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(161 - 112) + chr(0b110101) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11100 + 0o27) + chr(0b110101) + chr(0b1011 + 0o51), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\066' + chr(1463 - 1412), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010111 + 0o30) + chr(0b110001) + chr(0b100 + 0o54) + '\x30', 44320 - 44312), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\061' + chr(0b10011 + 0o40), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(52) + chr(0b11100 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(256 - 208) + chr(0b1011111 + 0o20) + chr(0b10001 + 0o42) + chr(0b110000) + chr(1245 - 1194), 6515 - 6507), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(0b110010) + chr(0b110011), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + '\065' + chr(1752 - 1704), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xde'), '\x64' + chr(101) + '\x63' + chr(0b1101111) + chr(100) + chr(0b1011111 + 0o6))('\x75' + chr(2037 - 1921) + chr(102) + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def vsJU7GhuEuh6(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
cBkUwM1JRGxm = oIhwMA96NShQ.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x9f!\xc0\x9b'), chr(0b1000 + 0o134) + '\145' + chr(4209 - 4110) + chr(111) + chr(0b10010 + 0o122) + '\145')('\165' + chr(116) + '\x66' + chr(45) + chr(0b111000))) if xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x9f!\xc0\x9b'), '\x64' + chr(0b1100101) + chr(0b1100001 + 0o2) + chr(4102 - 3991) + '\x64' + chr(7304 - 7203))(chr(0b1110101) + chr(0b1100 + 0o150) + chr(102) + chr(821 - 776) + chr(0b111000)) in oIhwMA96NShQ else []
Oynw8flqk0TY = e_2m_ddtWLQF._fix_attribute_names(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x9f!\xc0\x9b'), '\x64' + '\145' + '\143' + '\x6f' + '\x64' + '\145')(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(0b101101) + '\070'): xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\x9a \xf6\x80%@\x07\xdb\xc6\xb5'), chr(0b1100100) + chr(0b111100 + 0o51) + chr(0b1100011) + '\157' + chr(100) + chr(4849 - 4748))(chr(117) + '\x74' + chr(0b10001 + 0o125) + chr(45) + '\x38')})
if xafqLlk3kkUe(SXOLrMavuUCe(b'\x91\x97$\xda'), chr(100) + chr(5812 - 5711) + '\143' + chr(0b100101 + 0o112) + '\x64' + chr(101))(chr(0b100011 + 0o122) + chr(116) + chr(0b111001 + 0o55) + chr(0b10 + 0o53) + chr(0b11111 + 0o31)) not in oIhwMA96NShQ:
Oynw8flqk0TY = e_2m_ddtWLQF._add_extra_attributes(Oynw8flqk0TY, {xafqLlk3kkUe(SXOLrMavuUCe(b'\x91\x97$\xda'), chr(4903 - 4803) + chr(0b1001001 + 0o34) + chr(99) + chr(111) + chr(100) + chr(6581 - 6480))(chr(3867 - 3750) + chr(0b100 + 0o160) + chr(102) + chr(749 - 704) + chr(56)): ehT0Px3KOsy9(chr(48) + '\x6f' + '\060', ord("\x08"))})
if not cBkUwM1JRGxm:
YzOh4ZueGp_Q = c2A0yzQpDQB3(tKGh31ynuvmM.model_metadata.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x9a9\xd9\x9a$k\x03\xcb\xdc\xb5xl\xc5w\x06\xf7\xeb'), '\144' + chr(0b1100101) + chr(4862 - 4763) + chr(7382 - 7271) + '\x64' + chr(1068 - 967))(chr(0b1110101) + chr(0b1110100) + chr(3844 - 3742) + chr(405 - 360) + '\070')))
elif c2A0yzQpDQB3(MVEN8G6CxlvR(cBkUwM1JRGxm)) == ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100111 + 0o12), ord("\x08")):
YzOh4ZueGp_Q = c2A0yzQpDQB3(cBkUwM1JRGxm)
else:
raise _zJ24Vce7wp0(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x9f(\xdb\x8e$[\x05\x8e\xc9\xbb7w\xf43*\xdb\xc4\xa9V1k\xd9B\xf1\xfb\xe5\xebm\x06\x15\x0e\x1e\x9c\\2\xff\xc5\xb5r\x82\x86,\xcb\x835\x14\x04\xde\xde\xafcm\xb4G\x15\xe2\xe9\xa7K\x7fh\x96S\xea\xbe\xab\xedjU\x13\x1eN\x98\\`\xf8\x90\xb3c\x9f\x9d9\x89\x991F\x1e\xcf\xd0\xaar>\xe9c\x0b\xea\xfe\xecJt}\xd3\x1d\xa2\xb3\xff\xf0iU\\TA\x8bZ4\xe3\x90\xa1=\x93\x80 \x86\x8e U\x14\xc6\xd7\xe9~p\xf9f\x05\xe2\xfe\xa3P<b\xceI\xe7\xaf\xa4\xedjU\x13\x1e\x1d\xc3\x02q\xbe\xdc\xf7'), chr(100) + '\x65' + chr(99) + '\x6f' + chr(372 - 272) + '\x65')('\165' + chr(116) + chr(8961 - 8859) + '\055' + chr(0b110011 + 0o5)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\xdb?\xc6\xa71gD\xfe\xc2\xa3}'), chr(591 - 491) + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\144' + chr(7275 - 7174))(chr(0b100101 + 0o120) + '\x74' + '\146' + '\055' + chr(0b110101 + 0o3)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x9f!\xc0\x9b'), chr(100) + chr(9459 - 9358) + chr(3643 - 3544) + '\x6f' + chr(100) + chr(0b1100101))('\165' + '\164' + chr(0b110110 + 0o60) + '\x2d' + '\070')))
Oynw8flqk0TY[xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\x9a \xf6\x80%@\x07\xdb\xc6\xb5'), chr(0b111111 + 0o45) + '\x65' + chr(8213 - 8114) + '\x6f' + '\x64' + chr(899 - 798))('\165' + chr(116) + '\x66' + '\055' + chr(56))] = YzOh4ZueGp_Q
return (xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x9f!\xc0\x9b'), '\144' + '\x65' + '\143' + chr(11969 - 11858) + '\x64' + chr(3980 - 3879))(chr(0b0 + 0o165) + chr(0b101 + 0o157) + chr(0b101010 + 0o74) + chr(0b1001 + 0o44) + chr(0b11011 + 0o35)), Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
_slice
|
def _slice(attrs, inputs, proto_obj):
"""Returns a slice of the input tensor along multiple axes."""
new_attrs = translation_utils._fix_attribute_names(attrs,
{'axes' : 'axis',
'ends' : 'end',
'starts' : 'begin'})
# onnx slice provides slicing on multiple axis. Adding multiple slice_axis operator
# for multiple axes from mxnet
begin = new_attrs.get('begin')
end = new_attrs.get('end')
axes = new_attrs.get('axis', tuple(range(len(begin))))
slice_op = symbol.slice_axis(inputs[0], axis=axes[0], begin=begin[0], end=end[0])
if len(axes) > 1:
for i, axis in enumerate(axes):
slice_op = symbol.slice_axis(slice_op, axis=axis, begin=begin[i], end=end[i])
return slice_op, new_attrs, inputs
|
python
|
def _slice(attrs, inputs, proto_obj):
"""Returns a slice of the input tensor along multiple axes."""
new_attrs = translation_utils._fix_attribute_names(attrs,
{'axes' : 'axis',
'ends' : 'end',
'starts' : 'begin'})
# onnx slice provides slicing on multiple axis. Adding multiple slice_axis operator
# for multiple axes from mxnet
begin = new_attrs.get('begin')
end = new_attrs.get('end')
axes = new_attrs.get('axis', tuple(range(len(begin))))
slice_op = symbol.slice_axis(inputs[0], axis=axes[0], begin=begin[0], end=end[0])
if len(axes) > 1:
for i, axis in enumerate(axes):
slice_op = symbol.slice_axis(slice_op, axis=axis, begin=begin[i], end=end[i])
return slice_op, new_attrs, inputs
|
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] |
Returns a slice of the input tensor along multiple axes.
|
[
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L500-L515
|
train
|
Returns a slice of the input tensor along multiple axes.
|
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(10266 - 10155) + chr(0b110010) + chr(48) + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(0b10110 + 0o131) + chr(0b100011 + 0o20) + chr(0b100010 + 0o20) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010 + 0o145) + '\063' + chr(0b110100 + 0o0) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1472 - 1421) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(1209 - 1161) + chr(8873 - 8762) + chr(50) + '\067' + chr(1777 - 1723), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1836 - 1787) + chr(49) + chr(0b1101 + 0o50), 2100 - 2092), ehT0Px3KOsy9('\x30' + '\157' + chr(501 - 450) + '\064' + chr(0b10101 + 0o35), 29283 - 29275), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(0b110001) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101111 + 0o10) + chr(2121 - 2071), ord("\x08")), ehT0Px3KOsy9(chr(1840 - 1792) + '\157' + '\061' + '\062' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + chr(0b110011) + chr(0b1000 + 0o56) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1830 - 1779) + chr(53) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(658 - 610) + chr(0b1101111) + chr(0b100000 + 0o21) + chr(0b1011 + 0o45) + chr(0b1 + 0o64), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(51) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3983 - 3872) + '\x33' + chr(51) + chr(0b111 + 0o57), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10645 - 10534) + '\061' + chr(0b101100 + 0o10) + chr(1038 - 986), 5882 - 5874), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + '\x33' + '\x32' + chr(54), 8), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + '\x31' + '\x31' + chr(0b10001 + 0o46), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1079 - 1030) + '\x30' + chr(0b1110 + 0o44), 0b1000), ehT0Px3KOsy9(chr(2037 - 1989) + chr(111) + chr(50) + '\x33' + '\066', 8235 - 8227), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\064' + chr(0b100111 + 0o11), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(52) + '\x33', 16017 - 16009), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\x33' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(211 - 163) + chr(0b1101 + 0o142) + chr(0b110001) + chr(197 - 146) + '\x34', 8), ehT0Px3KOsy9(chr(1009 - 961) + chr(0b1101101 + 0o2) + chr(50) + chr(0b100110 + 0o17) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000011 + 0o54) + chr(0b110010) + '\064' + chr(2285 - 2235), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(49) + chr(51), 58860 - 58852), ehT0Px3KOsy9('\060' + chr(7807 - 7696) + '\061' + chr(0b10111 + 0o40) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b110001) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(7806 - 7695) + chr(1189 - 1139) + chr(0b110100) + chr(0b110 + 0o61), 57769 - 57761), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + '\060' + '\x32', 8), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(50) + chr(738 - 688) + chr(0b110101), 23301 - 23293), ehT0Px3KOsy9(chr(1415 - 1367) + chr(8447 - 8336) + chr(50) + chr(0b100000 + 0o21) + chr(1877 - 1826), 45833 - 45825), ehT0Px3KOsy9(chr(867 - 819) + '\x6f' + chr(50) + chr(592 - 541), 44792 - 44784), ehT0Px3KOsy9(chr(1151 - 1103) + '\157' + chr(337 - 286) + chr(0b110110) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100101 + 0o112) + chr(0b10000 + 0o43) + chr(54) + chr(48), 8), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1100100 + 0o13) + chr(0b110010) + chr(50) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b101 + 0o152) + chr(578 - 529) + chr(0b10110 + 0o37) + '\x30', 5243 - 5235), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\061' + chr(52), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101111 + 0o6) + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xad'), chr(0b1110 + 0o126) + '\x65' + '\x63' + '\x6f' + chr(0b1001000 + 0o34) + chr(0b110100 + 0o61))(chr(0b1110101) + chr(0b1110100) + chr(6261 - 6159) + chr(0b101101) + chr(0b110010 + 0o6)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def FDoqZUQiGlUo(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
Oynw8flqk0TY = e_2m_ddtWLQF._fix_attribute_names(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xae\x83l'), chr(2171 - 2071) + chr(0b1100101) + '\143' + chr(111) + '\x64' + '\x65')('\165' + chr(0b1000101 + 0o57) + chr(5300 - 5198) + chr(0b101101) + '\x38'): xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xae\x8fl'), chr(100) + '\145' + chr(5740 - 5641) + '\x6f' + chr(100) + chr(0b1011000 + 0o15))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(0b1001 + 0o44) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\xb8\x82l'), chr(0b1100100) + chr(0b1000111 + 0o36) + '\x63' + '\157' + chr(0b1100100) + '\x65')(chr(117) + chr(116) + chr(0b1010101 + 0o21) + chr(0b100101 + 0o10) + chr(0b111000)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\xb8\x82'), chr(0b10010 + 0o122) + '\x65' + chr(0b1100011) + '\x6f' + chr(1558 - 1458) + chr(0b1100101))(chr(117) + chr(116) + '\146' + chr(45) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\xa2\x87m\xca>'), chr(0b1100100) + chr(101) + chr(0b10010 + 0o121) + '\x6f' + '\144' + '\x65')(chr(4988 - 4871) + chr(10956 - 10840) + chr(0b1000100 + 0o42) + chr(2010 - 1965) + '\070'): xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xb3\x81v\xd0'), chr(0b1100100) + chr(0b11010 + 0o113) + '\x63' + chr(0b1000010 + 0o55) + chr(0b101 + 0o137) + '\145')('\165' + '\164' + '\146' + chr(0b101101) + '\070')})
_UO0diKSmKME = Oynw8flqk0TY.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xb3\x81v\xd0'), '\x64' + '\145' + chr(0b1010110 + 0o15) + '\x6f' + chr(0b1100100) + chr(101))(chr(117) + chr(0b1110100) + '\146' + chr(0b101000 + 0o5) + chr(0b111000)))
whWDZq5_lP01 = Oynw8flqk0TY.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\xb8\x82'), chr(100) + chr(6560 - 6459) + chr(0b1100011) + chr(111) + chr(8375 - 8275) + chr(101))(chr(117) + chr(0b111101 + 0o67) + '\146' + chr(0b100111 + 0o6) + '\070'))
gJ3Tbhvvj8Ru = Oynw8flqk0TY.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xae\x8fl'), '\x64' + chr(0b1010011 + 0o22) + '\x63' + '\x6f' + '\144' + chr(101))('\165' + chr(295 - 179) + '\x66' + chr(0b101100 + 0o1) + chr(56)), KNyTy8rYcwji(vQr8gNKaIaWE(c2A0yzQpDQB3(_UO0diKSmKME))))
EdLRZtE9LFJI = Usr5ykvL2UZF.slice_axis(vXoupepMtCXU[ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(0b110000), ord("\x08"))], axis=gJ3Tbhvvj8Ru[ehT0Px3KOsy9(chr(2197 - 2149) + chr(0b1010000 + 0o37) + chr(48), 8)], begin=_UO0diKSmKME[ehT0Px3KOsy9(chr(48) + chr(111) + '\x30', 8)], end=whWDZq5_lP01[ehT0Px3KOsy9(chr(1994 - 1946) + chr(8430 - 8319) + chr(0b110000), 8)])
if c2A0yzQpDQB3(gJ3Tbhvvj8Ru) > ehT0Px3KOsy9(chr(1095 - 1047) + chr(0b1010 + 0o145) + chr(49), 0o10):
for (WVxHKyX45z_L, cRTh61qyvi24) in YlkZvXL8qwsX(gJ3Tbhvvj8Ru):
EdLRZtE9LFJI = Usr5ykvL2UZF.slice_axis(EdLRZtE9LFJI, axis=cRTh61qyvi24, begin=_UO0diKSmKME[WVxHKyX45z_L], end=whWDZq5_lP01[WVxHKyX45z_L])
return (EdLRZtE9LFJI, Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
transpose
|
def transpose(attrs, inputs, proto_obj):
"""Transpose the input array."""
new_attrs = translation_utils._fix_attribute_names(attrs,
{'perm' : 'axes'})
return 'transpose', new_attrs, inputs
|
python
|
def transpose(attrs, inputs, proto_obj):
"""Transpose the input array."""
new_attrs = translation_utils._fix_attribute_names(attrs,
{'perm' : 'axes'})
return 'transpose', new_attrs, inputs
|
[
"def",
"transpose",
"(",
"attrs",
",",
"inputs",
",",
"proto_obj",
")",
":",
"new_attrs",
"=",
"translation_utils",
".",
"_fix_attribute_names",
"(",
"attrs",
",",
"{",
"'perm'",
":",
"'axes'",
"}",
")",
"return",
"'transpose'",
",",
"new_attrs",
",",
"inputs"
] |
Transpose the input array.
|
[
"Transpose",
"the",
"input",
"array",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L517-L521
|
train
|
Transposes the input 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(0b100000 + 0o20) + chr(0b1100111 + 0o10) + '\x31' + chr(0b110010) + chr(54), 3966 - 3958), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + '\061' + chr(0b110011), 57005 - 56997), ehT0Px3KOsy9(chr(48) + chr(7971 - 7860) + chr(0b110010) + '\060' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(50) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1669 - 1619), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(0b110110) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(6601 - 6490) + chr(1781 - 1732) + '\062' + chr(0b10000 + 0o41), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(1886 - 1835) + chr(54) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(9560 - 9449) + '\x33' + chr(2188 - 2134) + chr(0b100111 + 0o11), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + chr(1187 - 1137) + chr(0b100001 + 0o24), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(49) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(591 - 536) + chr(0b10000 + 0o46), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\061' + chr(2182 - 2134), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(51) + '\x31' + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(51) + '\x30', 31701 - 31693), ehT0Px3KOsy9(chr(850 - 802) + chr(111) + chr(0b110001) + chr(0b110001) + chr(51), 0b1000), ehT0Px3KOsy9(chr(110 - 62) + '\157' + chr(0b110100) + chr(0b100001 + 0o21), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101011 + 0o104) + '\x31' + chr(0b110000 + 0o1) + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(0b110 + 0o151) + chr(51) + chr(101 - 46) + chr(915 - 860), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1001011 + 0o44) + chr(1317 - 1267) + chr(976 - 921) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(1326 - 1278) + '\157' + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(228 - 178) + chr(55) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11111 + 0o120) + '\x33' + chr(0b101101 + 0o12) + chr(596 - 543), 42586 - 42578), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1100110 + 0o11) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + chr(9577 - 9466) + '\x37' + chr(0b110011 + 0o2), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011110 + 0o21) + chr(0b110101) + chr(0b1100 + 0o45), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(10905 - 10794) + chr(49) + '\x33' + chr(0b110111), 52519 - 52511), ehT0Px3KOsy9(chr(1876 - 1828) + chr(0b101 + 0o152) + chr(0b101010 + 0o10) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(0b110111 + 0o70) + chr(49) + chr(2457 - 2406) + chr(0b10001 + 0o37), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(0b110011) + chr(2667 - 2615) + chr(2561 - 2506), 23806 - 23798), ehT0Px3KOsy9(chr(1725 - 1677) + chr(0b1001110 + 0o41) + chr(50) + chr(0b110111) + chr(1391 - 1342), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x36' + chr(51), 0b1000), ehT0Px3KOsy9(chr(1976 - 1928) + chr(0b1101111) + '\x32' + chr(0b110010) + chr(0b11 + 0o60), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(5717 - 5606) + chr(1795 - 1745) + '\x32' + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(49) + '\063', 54450 - 54442), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b110100) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5563 - 5452) + '\061' + chr(55) + chr(1553 - 1505), 44588 - 44580), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2892 - 2837) + chr(0b110000), 54814 - 54806)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + 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'x'), chr(1294 - 1194) + '\145' + chr(0b1100000 + 0o3) + '\157' + '\144' + '\x65')('\165' + chr(2936 - 2820) + chr(0b10001 + 0o125) + chr(0b101100 + 0o1) + chr(287 - 231)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def qhxLZaWpxO1Z(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
Oynw8flqk0TY = e_2m_ddtWLQF._fix_attribute_names(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'&\xae\xf3y'), chr(0b1100100) + chr(0b1100000 + 0o5) + chr(0b1100011) + chr(111) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(116) + chr(0b11100 + 0o112) + '\x2d' + '\x38'): xafqLlk3kkUe(SXOLrMavuUCe(b'7\xb3\xe4g'), chr(100) + '\x65' + chr(0b1100011) + chr(0b1010101 + 0o32) + chr(100) + '\145')('\x75' + chr(3764 - 3648) + '\146' + chr(0b101101) + chr(0b111000))})
return (xafqLlk3kkUe(SXOLrMavuUCe(b'"\xb9\xe0zq\x87>\x81z'), '\144' + '\x65' + chr(99) + '\157' + chr(0b1 + 0o143) + chr(0b1000101 + 0o40))(chr(117) + chr(116) + '\x66' + chr(45) + chr(0b111000)), Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
squeeze
|
def squeeze(attrs, inputs, proto_obj):
"""Remove single-dimensional entries from the shape of a tensor."""
new_attrs = translation_utils._fix_attribute_names(attrs,
{'axes' : 'axis'})
return 'squeeze', new_attrs, inputs
|
python
|
def squeeze(attrs, inputs, proto_obj):
"""Remove single-dimensional entries from the shape of a tensor."""
new_attrs = translation_utils._fix_attribute_names(attrs,
{'axes' : 'axis'})
return 'squeeze', new_attrs, inputs
|
[
"def",
"squeeze",
"(",
"attrs",
",",
"inputs",
",",
"proto_obj",
")",
":",
"new_attrs",
"=",
"translation_utils",
".",
"_fix_attribute_names",
"(",
"attrs",
",",
"{",
"'axes'",
":",
"'axis'",
"}",
")",
"return",
"'squeeze'",
",",
"new_attrs",
",",
"inputs"
] |
Remove single-dimensional entries from the shape of a tensor.
|
[
"Remove",
"single",
"-",
"dimensional",
"entries",
"from",
"the",
"shape",
"of",
"a",
"tensor",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L523-L527
|
train
|
Removes single - dimensional entries from the shape of a tensor.
|
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) + chr(1758 - 1709) + chr(0b110100) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\x32' + '\x31', 30547 - 30539), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(50) + chr(0b11000 + 0o31), 51755 - 51747), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(1488 - 1439) + chr(165 - 115), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100100 + 0o113) + '\061' + '\x33' + chr(797 - 744), 0o10), ehT0Px3KOsy9('\060' + chr(2627 - 2516) + chr(0b0 + 0o67) + chr(0b10010 + 0o42), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1010 + 0o50) + chr(1672 - 1621), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b101010 + 0o10) + chr(0b10001 + 0o40), 0o10), ehT0Px3KOsy9(chr(1621 - 1573) + chr(2544 - 2433) + '\063' + chr(55) + '\x36', 32823 - 32815), ehT0Px3KOsy9(chr(383 - 335) + '\x6f' + '\061' + '\x37' + chr(2136 - 2084), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(449 - 400) + '\066' + chr(0b110011), 27803 - 27795), ehT0Px3KOsy9(chr(187 - 139) + chr(111) + chr(0b110011) + chr(1936 - 1885) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100101 + 0o15) + chr(48) + chr(0b101111 + 0o2), 23668 - 23660), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(1484 - 1433) + chr(70 - 17) + chr(0b101011 + 0o10), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1101 + 0o51), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(0b11011 + 0o31) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(51) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(1712 - 1662) + chr(2267 - 2215), 0b1000), ehT0Px3KOsy9(chr(499 - 451) + '\x6f' + '\062' + '\x35' + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10000 + 0o137) + chr(50) + chr(0b1001 + 0o55) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + '\x37' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100100 + 0o15) + '\063' + chr(169 - 119), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1111 + 0o42) + chr(0b110010) + chr(0b110100), 23084 - 23076), ehT0Px3KOsy9('\x30' + chr(0b110111 + 0o70) + '\062' + chr(51) + chr(53), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(356 - 307) + chr(54) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(212 - 101) + chr(0b101111 + 0o4) + '\063' + chr(0b1101 + 0o43), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(1229 - 1178) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(1634 - 1586) + chr(0b1010011 + 0o34) + chr(51) + '\067' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(2116 - 2068) + chr(111) + chr(50) + '\062' + '\x35', 59388 - 59380), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + chr(0b101000 + 0o11) + chr(1734 - 1686) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + chr(54) + chr(844 - 794), 15250 - 15242), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1001101 + 0o42) + chr(1877 - 1828) + chr(51) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\065' + '\x34', 63106 - 63098), ehT0Px3KOsy9(chr(132 - 84) + chr(0b110100 + 0o73) + chr(0b110011) + chr(0b10000 + 0o47) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(53) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(983 - 872) + '\x32' + chr(2443 - 2389) + chr(50), 8), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b101000 + 0o107) + chr(2474 - 2424) + chr(0b10011 + 0o36) + chr(1159 - 1107), 9072 - 9064), ehT0Px3KOsy9('\060' + chr(7785 - 7674) + chr(1550 - 1501) + chr(0b1100 + 0o44) + '\063', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + chr(53) + chr(48), 32926 - 32918)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'H'), chr(3037 - 2937) + '\145' + '\x63' + '\x6f' + chr(132 - 32) + chr(0b1000000 + 0o45))(chr(12484 - 12367) + chr(0b1110100) + chr(3670 - 3568) + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def jSEJp8iu8Nw4(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
Oynw8flqk0TY = e_2m_ddtWLQF._fix_attribute_names(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'\x07)\xb4\xb9'), '\144' + '\145' + chr(4903 - 4804) + '\157' + chr(0b11101 + 0o107) + '\145')(chr(3661 - 3544) + chr(116) + '\x66' + chr(1989 - 1944) + chr(0b111000)): xafqLlk3kkUe(SXOLrMavuUCe(b'\x07)\xb8\xb9'), '\144' + chr(0b1100101) + '\143' + chr(111) + '\144' + chr(0b1100101))('\165' + chr(116) + '\146' + chr(466 - 421) + chr(2449 - 2393))})
return (xafqLlk3kkUe(SXOLrMavuUCe(b'\x15 \xa4\xaf8Fv'), '\144' + '\145' + '\x63' + chr(0b1101111) + chr(0b1001010 + 0o32) + '\x65')('\165' + '\164' + '\146' + '\055' + chr(1983 - 1927)), Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
unsqueeze
|
def unsqueeze(attrs, inputs, cls):
"""Inserts a new axis of size 1 into the array shape"""
# MXNet can only add one axis at a time.
mxnet_op = inputs[0]
for axis in attrs["axes"]:
mxnet_op = symbol.expand_dims(mxnet_op, axis=axis)
return mxnet_op, attrs, inputs
|
python
|
def unsqueeze(attrs, inputs, cls):
"""Inserts a new axis of size 1 into the array shape"""
# MXNet can only add one axis at a time.
mxnet_op = inputs[0]
for axis in attrs["axes"]:
mxnet_op = symbol.expand_dims(mxnet_op, axis=axis)
return mxnet_op, attrs, inputs
|
[
"def",
"unsqueeze",
"(",
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",",
"inputs",
",",
"cls",
")",
":",
"# MXNet can only add one axis at a time.",
"mxnet_op",
"=",
"inputs",
"[",
"0",
"]",
"for",
"axis",
"in",
"attrs",
"[",
"\"axes\"",
"]",
":",
"mxnet_op",
"=",
"symbol",
".",
"expand_dims",
"(",
"mxnet_op",
",",
"axis",
"=",
"axis",
")",
"return",
"mxnet_op",
",",
"attrs",
",",
"inputs"
] |
Inserts a new axis of size 1 into the array shape
|
[
"Inserts",
"a",
"new",
"axis",
"of",
"size",
"1",
"into",
"the",
"array",
"shape"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L529-L536
|
train
|
Removes a new axis of size 1 into the array shape.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b100111 + 0o110) + '\062' + '\x34' + chr(0b100010 + 0o24), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(11073 - 10962) + chr(0b110010) + '\066' + chr(0b100000 + 0o21), 0o10), ehT0Px3KOsy9(chr(1340 - 1292) + chr(0b1101111) + '\x33' + '\063' + chr(48), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(2566 - 2515) + chr(2706 - 2651), 32905 - 32897), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(73 - 21), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\064' + chr(0b110011), 8452 - 8444), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(0b10111 + 0o34) + chr(0b110011) + chr(0b110101), 29093 - 29085), ehT0Px3KOsy9('\x30' + chr(111) + chr(55) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(78 - 28) + '\061' + '\x34', 28053 - 28045), ehT0Px3KOsy9('\x30' + chr(0b101101 + 0o102) + chr(0b110011) + chr(0b111 + 0o52) + '\x30', 27674 - 27666), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000 + 0o147) + '\x33' + '\060' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(51) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\063' + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010110 + 0o31) + chr(0b11110 + 0o25) + chr(0b110010) + chr(0b1110 + 0o46), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100010 + 0o15) + '\062' + chr(0b10100 + 0o42) + chr(0b101101 + 0o7), 55335 - 55327), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(1148 - 1099) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(0b1111 + 0o50), 38808 - 38800), ehT0Px3KOsy9(chr(2098 - 2050) + chr(8700 - 8589) + chr(0b110001) + '\063' + chr(202 - 147), 29020 - 29012), ehT0Px3KOsy9('\060' + chr(5490 - 5379) + '\063' + chr(1828 - 1773) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(1941 - 1893) + '\157' + '\x35' + '\066', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + '\063' + '\x35', 9640 - 9632), ehT0Px3KOsy9(chr(0b110000) + chr(5333 - 5222) + chr(1284 - 1229) + chr(50), 8), ehT0Px3KOsy9(chr(1360 - 1312) + '\157' + chr(0b11000 + 0o32) + '\x31' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(2094 - 2046) + chr(7183 - 7072) + '\061' + '\060' + '\063', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(1571 - 1521) + chr(0b110110), 53366 - 53358), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1010100 + 0o33) + chr(51) + chr(48) + '\064', 7469 - 7461), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(0b110011) + chr(1329 - 1280), 46020 - 46012), ehT0Px3KOsy9(chr(822 - 774) + chr(8371 - 8260) + chr(0b110101) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11001 + 0o32) + chr(0b100101 + 0o16) + chr(0b1110 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1000101 + 0o52) + chr(50) + '\065' + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(1375 - 1325), 24746 - 24738), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + chr(0b10101 + 0o36) + '\067' + chr(0b10010 + 0o43), 60595 - 60587), ehT0Px3KOsy9('\060' + chr(0b1101110 + 0o1) + chr(49) + chr(0b1010 + 0o47) + chr(0b10011 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(728 - 617) + '\x31' + chr(1136 - 1081) + chr(0b1000 + 0o57), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(48) + chr(405 - 350), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(54), 50504 - 50496), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + '\x35' + chr(48), 41294 - 41286), ehT0Px3KOsy9('\x30' + chr(0b10 + 0o155) + '\062' + chr(794 - 742) + chr(0b10001 + 0o44), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(9094 - 8983) + '\x35' + chr(0b100000 + 0o20), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x88'), '\144' + '\145' + chr(99) + chr(3857 - 3746) + '\144' + chr(0b1001001 + 0o34))(chr(0b1110101) + '\164' + chr(0b110111 + 0o57) + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def lPPVHn3IsZ46(oIhwMA96NShQ, vXoupepMtCXU, NSstowUUZlxS):
gsbA0fiNotS4 = vXoupepMtCXU[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1555 - 1507), 0b1000)]
for cRTh61qyvi24 in oIhwMA96NShQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7|\xd4\xab'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1010011 + 0o21) + '\x65')('\x75' + '\x74' + '\x66' + '\055' + '\070')]:
gsbA0fiNotS4 = Usr5ykvL2UZF.expand_dims(gsbA0fiNotS4, axis=cRTh61qyvi24)
return (gsbA0fiNotS4, oIhwMA96NShQ, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
flatten
|
def flatten(attrs, inputs, proto_obj):
"""Flattens the input array into a 2-D array by collapsing the higher dimensions."""
#Mxnet does not have axis support. By default uses axis=1
if 'axis' in attrs and attrs['axis'] != 1:
raise RuntimeError("Flatten operator only supports axis=1")
new_attrs = translation_utils._remove_attributes(attrs, ['axis'])
return 'Flatten', new_attrs, inputs
|
python
|
def flatten(attrs, inputs, proto_obj):
"""Flattens the input array into a 2-D array by collapsing the higher dimensions."""
#Mxnet does not have axis support. By default uses axis=1
if 'axis' in attrs and attrs['axis'] != 1:
raise RuntimeError("Flatten operator only supports axis=1")
new_attrs = translation_utils._remove_attributes(attrs, ['axis'])
return 'Flatten', new_attrs, inputs
|
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"#Mxnet does not have axis support. By default uses axis=1",
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"raise",
"RuntimeError",
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"\"Flatten operator only supports axis=1\"",
")",
"new_attrs",
"=",
"translation_utils",
".",
"_remove_attributes",
"(",
"attrs",
",",
"[",
"'axis'",
"]",
")",
"return",
"'Flatten'",
",",
"new_attrs",
",",
"inputs"
] |
Flattens the input array into a 2-D array by collapsing the higher dimensions.
|
[
"Flattens",
"the",
"input",
"array",
"into",
"a",
"2",
"-",
"D",
"array",
"by",
"collapsing",
"the",
"higher",
"dimensions",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L538-L544
|
train
|
Flattens the input array into a 2 - D array by collapsing the higher dimensions.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b10111 + 0o130) + chr(51) + chr(0b100001 + 0o24) + '\066', 21553 - 21545), ehT0Px3KOsy9(chr(48) + chr(0b11 + 0o154) + chr(0b110010) + chr(2426 - 2376) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\066' + chr(0b110011), 29808 - 29800), ehT0Px3KOsy9(chr(976 - 928) + '\x6f' + chr(337 - 286) + chr(634 - 584), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(600 - 547), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100101 + 0o16) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\x30' + '\063', 0o10), ehT0Px3KOsy9(chr(1358 - 1310) + chr(0b1101111) + chr(0b1011 + 0o46) + chr(396 - 344), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + chr(0b100111 + 0o14) + '\x30' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b101111 + 0o100) + chr(274 - 223) + chr(0b1110 + 0o47) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b110101) + chr(0b110101), 2922 - 2914), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + chr(0b110111) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(4884 - 4773) + chr(2292 - 2242) + '\x36' + chr(1506 - 1453), ord("\x08")), ehT0Px3KOsy9(chr(479 - 431) + chr(0b1101111) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1537 - 1482) + chr(50), 6084 - 6076), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + '\x31' + chr(0b11000 + 0o36) + chr(52), 34131 - 34123), ehT0Px3KOsy9(chr(48) + chr(2735 - 2624) + chr(0b110 + 0o55) + chr(1303 - 1250) + '\066', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(49) + '\x30', 33849 - 33841), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(50) + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010100 + 0o33) + chr(2436 - 2386) + '\x33' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7610 - 7499) + chr(0b10001 + 0o41) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8147 - 8036) + '\061' + chr(54) + '\062', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b10111 + 0o34) + '\064' + chr(2773 - 2720), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1171 - 1118) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101) + chr(0b11010 + 0o30), 0b1000), ehT0Px3KOsy9(chr(800 - 752) + chr(0b1101111) + chr(0b1010 + 0o51) + chr(0b11 + 0o55) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b11111 + 0o24) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10110 + 0o41) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + chr(0b1110 + 0o43) + chr(601 - 551) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7299 - 7188) + chr(406 - 356) + chr(0b1110 + 0o51) + '\065', 0b1000), ehT0Px3KOsy9(chr(560 - 512) + chr(111) + '\061' + '\062' + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10100 + 0o35) + '\x37' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + chr(0b110011) + '\x37' + chr(0b110110), 45526 - 45518), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + '\061' + '\066' + chr(0b10100 + 0o41), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11011 + 0o26) + chr(50) + chr(2973 - 2918), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\060' + chr(0b1 + 0o60), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(460 - 411) + chr(0b110011 + 0o4) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1974 - 1925) + '\060' + chr(1597 - 1544), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(4417 - 4306) + '\065' + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0'), '\144' + chr(101) + chr(0b111000 + 0o53) + '\157' + chr(0b1100100) + chr(2268 - 2167))(chr(117) + chr(6856 - 6740) + chr(0b1100110) + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def dbBtynT6oMgz(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
if xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xebZi'), '\144' + chr(0b101001 + 0o74) + chr(0b1100011) + chr(0b1100100 + 0o13) + chr(100) + chr(8779 - 8678))(chr(0b1110101) + chr(116) + chr(0b1001010 + 0o34) + '\055' + '\x38') in oIhwMA96NShQ and oIhwMA96NShQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xebZi'), chr(4043 - 3943) + chr(0b100110 + 0o77) + '\143' + '\x6f' + chr(0b111010 + 0o52) + chr(0b1100101))('\165' + chr(0b1110100) + '\x66' + '\x2d' + '\x38')] != ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(8592 - 8481) + '\061', 0o10):
raise n0ZkatoveZpF(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\xffRny~\xad,\xab\x9b\x08J\xd4sUpT\x81&\xf9\xe44\x01\x90^Z\xa8*M&\x9d6}\x14\x8dHf'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(11124 - 11013) + chr(100) + '\x65')(chr(117) + '\x74' + '\x66' + chr(45) + '\070'))
Oynw8flqk0TY = e_2m_ddtWLQF._remove_attributes(oIhwMA96NShQ, [xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xebZi'), chr(0b1100100) + '\x65' + '\143' + chr(0b110101 + 0o72) + '\144' + chr(7268 - 7167))('\165' + '\164' + chr(7796 - 7694) + '\055' + chr(2185 - 2129))])
return (xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\xffRny~\xad'), chr(9890 - 9790) + chr(101) + chr(0b1100011) + chr(6054 - 5943) + chr(0b1100100) + chr(5635 - 5534))(chr(0b1110101) + chr(116) + '\146' + chr(0b101101) + chr(0b11 + 0o65)), Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
clip
|
def clip(attrs, inputs, proto_obj):
"""Clips (limits) the values in an array."""
new_attrs = translation_utils._fix_attribute_names(attrs, {'min' : 'a_min',
'max' : 'a_max'})
if 'a_max' not in new_attrs:
new_attrs = translation_utils._add_extra_attributes(new_attrs, {'a_max' : np.inf})
if 'a_min' not in new_attrs:
new_attrs = translation_utils._add_extra_attributes(new_attrs, {'a_min' : -np.inf})
return 'clip', new_attrs, inputs
|
python
|
def clip(attrs, inputs, proto_obj):
"""Clips (limits) the values in an array."""
new_attrs = translation_utils._fix_attribute_names(attrs, {'min' : 'a_min',
'max' : 'a_max'})
if 'a_max' not in new_attrs:
new_attrs = translation_utils._add_extra_attributes(new_attrs, {'a_max' : np.inf})
if 'a_min' not in new_attrs:
new_attrs = translation_utils._add_extra_attributes(new_attrs, {'a_min' : -np.inf})
return 'clip', new_attrs, inputs
|
[
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"}",
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"-",
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"inf",
"}",
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"return",
"'clip'",
",",
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",",
"inputs"
] |
Clips (limits) the values in an array.
|
[
"Clips",
"(",
"limits",
")",
"the",
"values",
"in",
"an",
"array",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L546-L554
|
train
|
Clips the values in an 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(0b1101 + 0o43) + '\x6f' + chr(0b110 + 0o55) + '\x32' + chr(49), 0b1000), ehT0Px3KOsy9(chr(1692 - 1644) + chr(0b1101111) + chr(195 - 144) + '\063' + chr(0b110100), 13522 - 13514), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\x31' + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101011 + 0o104) + chr(2302 - 2253) + chr(52) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2126 - 2076) + chr(1703 - 1648) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(8916 - 8805) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + chr(6772 - 6661) + '\x33' + chr(51) + chr(0b110100), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(55) + chr(501 - 452), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + chr(0b110010) + chr(52) + chr(1690 - 1641), 3024 - 3016), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(1703 - 1652) + chr(1936 - 1885), ord("\x08")), ehT0Px3KOsy9(chr(1003 - 955) + chr(0b1101111) + chr(0b10100 + 0o36) + '\x37' + chr(48), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b111 + 0o150) + '\x31' + '\x31' + chr(617 - 569), 0o10), ehT0Px3KOsy9(chr(510 - 462) + chr(111) + chr(0b110011) + '\x30', 51444 - 51436), ehT0Px3KOsy9(chr(2238 - 2190) + chr(5328 - 5217) + chr(0b11001 + 0o30) + chr(0b110110) + chr(0b101011 + 0o10), 44458 - 44450), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(51), 53091 - 53083), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(50) + '\062' + chr(1336 - 1286), ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101001 + 0o6) + chr(49) + chr(0b110001) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1110 + 0o51) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\063' + chr(51), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b110000) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111010 + 0o65) + chr(0b110001) + chr(1259 - 1209) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(199 - 151) + '\157' + chr(0b110010 + 0o0) + chr(54) + '\065', 65492 - 65484), ehT0Px3KOsy9(chr(1857 - 1809) + chr(0b1101111) + chr(736 - 681), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101011 + 0o10) + '\061' + '\x33', 0b1000), ehT0Px3KOsy9(chr(1355 - 1307) + chr(111) + chr(0b110001) + chr(0b110011) + chr(0b100010 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(851 - 803) + chr(111) + '\x33' + chr(0b110010) + '\x31', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(1499 - 1447) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10870 - 10759) + '\061' + '\067' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b101 + 0o54) + '\x33', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1527 - 1477) + chr(0b110010) + chr(1550 - 1500), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(0b111 + 0o53) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(51) + chr(2111 - 2061), 8), ehT0Px3KOsy9(chr(48) + chr(9318 - 9207) + '\x35' + '\065', 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(2689 - 2578) + '\x33' + chr(52) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(11987 - 11876) + '\061' + chr(53) + chr(0b110000 + 0o0), 26514 - 26506), ehT0Px3KOsy9('\x30' + chr(0b1101001 + 0o6) + '\061' + '\065' + chr(72 - 17), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b100001 + 0o116) + '\x31' + chr(0b110001) + chr(54), 8), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(892 - 781) + '\x34' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(267 - 216) + '\063' + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100111 + 0o10) + chr(0b100011 + 0o21) + chr(49), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + '\x35' + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xff'), '\144' + chr(101) + chr(4025 - 3926) + chr(0b1101111) + chr(4617 - 4517) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(343 - 298) + chr(0b101100 + 0o14)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def H8HUQmIerer7(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
Oynw8flqk0TY = e_2m_ddtWLQF._fix_attribute_names(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b"\xbc\xb5'"), chr(0b1100100) + '\145' + '\143' + '\157' + '\x64' + chr(0b10000 + 0o125))(chr(0b11011 + 0o132) + chr(0b1100 + 0o150) + chr(0b1100110) + '\055' + '\x38'): xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\x83$\n\xd6'), '\x64' + chr(0b111010 + 0o53) + chr(99) + chr(111) + chr(0b101010 + 0o72) + chr(101))(chr(117) + chr(0b1010001 + 0o43) + chr(102) + '\x2d' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\xbd1'), chr(5367 - 5267) + '\x65' + '\x63' + '\157' + chr(0b1010010 + 0o22) + chr(8129 - 8028))('\x75' + chr(116) + chr(0b11011 + 0o113) + chr(0b101101) + '\070'): xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\x83$\x02\xc0'), chr(0b111010 + 0o52) + '\145' + '\x63' + chr(111) + '\x64' + '\x65')(chr(12303 - 12186) + '\x74' + chr(4774 - 4672) + '\055' + chr(0b1 + 0o67))})
if xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\x83$\x02\xc0'), '\144' + chr(0b111011 + 0o52) + chr(0b11 + 0o140) + '\x6f' + chr(8349 - 8249) + chr(0b1100101))(chr(1693 - 1576) + chr(923 - 807) + '\x66' + '\055' + '\070') not in Oynw8flqk0TY:
Oynw8flqk0TY = e_2m_ddtWLQF._add_extra_attributes(Oynw8flqk0TY, {xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\x83$\x02\xc0'), chr(100) + '\x65' + '\x63' + chr(111) + '\144' + chr(101))(chr(1445 - 1328) + '\x74' + chr(102) + chr(0b1010 + 0o43) + chr(56)): WqUC3KWvYVup.inf})
if xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\x83$\n\xd6'), chr(0b1100100) + '\x65' + chr(0b1001001 + 0o32) + chr(111) + chr(100) + chr(101))(chr(117) + '\164' + chr(0b10011 + 0o123) + chr(0b101101) + chr(2589 - 2533)) not in Oynw8flqk0TY:
Oynw8flqk0TY = e_2m_ddtWLQF._add_extra_attributes(Oynw8flqk0TY, {xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\x83$\n\xd6'), '\x64' + '\x65' + chr(99) + '\157' + chr(0b1100100) + chr(0b1100101))('\x75' + '\164' + '\146' + chr(773 - 728) + chr(56)): -WqUC3KWvYVup.inf})
return (xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2\xb0 \x13'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\144' + chr(0b1100101))(chr(117) + chr(116) + '\146' + chr(45) + chr(0b11000 + 0o40)), Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
power
|
def power(attrs, inputs, proto_obj):
"""Returns element-wise result of base element raised to powers from exp element."""
new_attrs = translation_utils._fix_attribute_names(attrs, {'exponent':'exp'})
if 'broadcast' in attrs:
new_attrs = translation_utils._remove_attributes(new_attrs, ['broadcast'])
if attrs['broadcast'] == 1:
return 'broadcast_power', new_attrs, inputs
else:
mxnet_op = symbol.pow(inputs[0], inputs[1])
return mxnet_op, new_attrs, inputs
mxnet_op = symbol.broadcast_power(inputs[0], inputs[1])
return mxnet_op, new_attrs, inputs
|
python
|
def power(attrs, inputs, proto_obj):
"""Returns element-wise result of base element raised to powers from exp element."""
new_attrs = translation_utils._fix_attribute_names(attrs, {'exponent':'exp'})
if 'broadcast' in attrs:
new_attrs = translation_utils._remove_attributes(new_attrs, ['broadcast'])
if attrs['broadcast'] == 1:
return 'broadcast_power', new_attrs, inputs
else:
mxnet_op = symbol.pow(inputs[0], inputs[1])
return mxnet_op, new_attrs, inputs
mxnet_op = symbol.broadcast_power(inputs[0], inputs[1])
return mxnet_op, new_attrs, inputs
|
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] |
Returns element-wise result of base element raised to powers from exp element.
|
[
"Returns",
"element",
"-",
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L569-L580
|
train
|
Returns element - wise result of base element raised to powers from exp element.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(50) + chr(0b11001 + 0o27), 30905 - 30897), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(10477 - 10366) + chr(0b110001) + chr(52) + chr(1626 - 1572), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(722 - 671), ord("\x08")), ehT0Px3KOsy9(chr(1669 - 1621) + chr(111) + '\x31' + chr(997 - 947) + chr(0b10000 + 0o40), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b101000 + 0o17), 0o10), ehT0Px3KOsy9(chr(1624 - 1576) + '\x6f' + chr(0b111 + 0o52) + '\062' + chr(1103 - 1054), 4760 - 4752), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b111 + 0o52) + chr(53) + chr(0b10011 + 0o35), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\067' + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(987 - 936) + chr(49) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(4687 - 4576) + chr(0b110011) + chr(54) + chr(51), 17614 - 17606), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(52) + chr(54), 8), ehT0Px3KOsy9('\060' + chr(0b1000100 + 0o53) + chr(1315 - 1266) + '\x34', 0o10), ehT0Px3KOsy9(chr(2192 - 2144) + chr(0b1101111) + chr(0b110010) + chr(0b10010 + 0o41), 14521 - 14513), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\062' + chr(0b110101 + 0o0), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b11001 + 0o31) + '\x34' + '\x35', 37197 - 37189), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(1300 - 1189) + chr(0b1110 + 0o44) + '\x35' + chr(1792 - 1744), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(55) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(478 - 426) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(2273 - 2225) + chr(0b1101111) + chr(2150 - 2099) + chr(0b110001) + chr(1561 - 1507), 28529 - 28521), ehT0Px3KOsy9(chr(48) + chr(1405 - 1294) + chr(0b100101 + 0o14) + chr(334 - 284) + chr(49), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\066' + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(53) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(2798 - 2687) + chr(0b10000 + 0o41) + '\x36' + chr(0b11101 + 0o23), 11604 - 11596), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1011110 + 0o21) + chr(53) + chr(1020 - 971), 0o10), ehT0Px3KOsy9(chr(1408 - 1360) + chr(11645 - 11534) + chr(0b100101 + 0o16) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(222 - 174) + chr(111) + chr(1597 - 1546) + chr(934 - 886) + chr(1230 - 1178), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110111) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10101 + 0o34) + chr(1464 - 1411) + chr(0b101101 + 0o11), ord("\x08")), ehT0Px3KOsy9(chr(1510 - 1462) + chr(6095 - 5984) + '\065' + chr(0b11110 + 0o31), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(54) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11100 + 0o33) + chr(525 - 475), 10248 - 10240), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(3706 - 3595) + chr(52) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(356 - 308) + '\x6f' + '\x34' + chr(0b11100 + 0o25), ord("\x08")), ehT0Px3KOsy9(chr(1002 - 954) + '\x6f' + '\x31' + chr(0b110001) + chr(0b100 + 0o56), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + '\x32' + chr(0b1111 + 0o43), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(203 - 154) + chr(0b110111) + chr(0b110010), 57848 - 57840), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + chr(1827 - 1772) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1218 - 1107) + chr(218 - 167) + chr(0b110001) + chr(48), 0o10), ehT0Px3KOsy9(chr(1273 - 1225) + chr(0b1011111 + 0o20) + '\x36' + '\063', 46978 - 46970), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b110010) + '\067', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2071 - 2023) + chr(8297 - 8186) + '\x35' + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe'), chr(100) + '\145' + '\143' + chr(111) + chr(0b1100100) + '\x65')(chr(8991 - 8874) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GpqOSrxEIkxx(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
Oynw8flqk0TY = e_2m_ddtWLQF._fix_attribute_names(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\x1e{?q4\x06K'), '\144' + chr(0b1100101 + 0o0) + chr(99) + chr(4094 - 3983) + chr(100) + chr(0b1000000 + 0o45))(chr(0b110010 + 0o103) + '\164' + chr(102) + '\x2d' + chr(56)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\x1e{'), chr(0b1100001 + 0o3) + chr(0b101110 + 0o67) + chr(0b1100011) + '\x6f' + '\x64' + '\x65')(chr(117) + chr(12097 - 11981) + chr(0b110100 + 0o62) + chr(0b10000 + 0o35) + chr(0b111000))})
if xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\x14d1{2\tL\xb9'), chr(0b101111 + 0o65) + '\145' + '\x63' + chr(0b1101111) + chr(100) + '\145')(chr(0b1000010 + 0o63) + '\x74' + chr(102) + '\x2d' + chr(0b10100 + 0o44)) in oIhwMA96NShQ:
Oynw8flqk0TY = e_2m_ddtWLQF._remove_attributes(Oynw8flqk0TY, [xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\x14d1{2\tL\xb9'), chr(1352 - 1252) + '\x65' + chr(99) + '\x6f' + chr(0b1100100 + 0o0) + chr(101))(chr(117) + '\x74' + chr(0b111111 + 0o47) + chr(1041 - 996) + '\x38')])
if oIhwMA96NShQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\x14d1{2\tL\xb9'), chr(0b1100100) + chr(0b1100001 + 0o4) + chr(99) + chr(0b1010000 + 0o37) + chr(0b1100100) + '\145')(chr(984 - 867) + chr(0b110110 + 0o76) + chr(102) + chr(45) + chr(56))] == ehT0Px3KOsy9(chr(48) + chr(1788 - 1677) + '\x31', 0o10):
return (xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\x14d1{2\tL\xb9\xac\x16cd0\xd7'), chr(0b1100100) + chr(0b1100101) + chr(6577 - 6478) + chr(11282 - 11171) + '\144' + chr(0b1100101))('\165' + chr(0b1110100) + chr(102) + '\x2d' + '\070'), Oynw8flqk0TY, vXoupepMtCXU)
else:
gsbA0fiNotS4 = Usr5ykvL2UZF.pow(vXoupepMtCXU[ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(0b101 + 0o53), 0b1000)], vXoupepMtCXU[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31', 8)])
return (gsbA0fiNotS4, Oynw8flqk0TY, vXoupepMtCXU)
gsbA0fiNotS4 = Usr5ykvL2UZF.broadcast_power(vXoupepMtCXU[ehT0Px3KOsy9(chr(188 - 140) + chr(2136 - 2025) + '\060', 8)], vXoupepMtCXU[ehT0Px3KOsy9(chr(306 - 258) + '\x6f' + '\061', 8)])
return (gsbA0fiNotS4, Oynw8flqk0TY, vXoupepMtCXU)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
|
reduce_max
|
def reduce_max(attrs, inputs, proto_obj):
"""Reduce the array along a given axis by maximum value"""
new_attrs = translation_utils._fix_attribute_names(attrs, {'axes':'axis'})
return 'max', new_attrs, inputs
|
python
|
def reduce_max(attrs, inputs, proto_obj):
"""Reduce the array along a given axis by maximum value"""
new_attrs = translation_utils._fix_attribute_names(attrs, {'axes':'axis'})
return 'max', new_attrs, inputs
|
[
"def",
"reduce_max",
"(",
"attrs",
",",
"inputs",
",",
"proto_obj",
")",
":",
"new_attrs",
"=",
"translation_utils",
".",
"_fix_attribute_names",
"(",
"attrs",
",",
"{",
"'axes'",
":",
"'axis'",
"}",
")",
"return",
"'max'",
",",
"new_attrs",
",",
"inputs"
] |
Reduce the array along a given axis by maximum value
|
[
"Reduce",
"the",
"array",
"along",
"a",
"given",
"axis",
"by",
"maximum",
"value"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py#L615-L618
|
train
|
Reduce the array along a given axis by maximum 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('\x30' + '\157' + chr(0b110000 + 0o2) + chr(52) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100111 + 0o110) + '\x31' + chr(905 - 850), ord("\x08")), ehT0Px3KOsy9('\060' + chr(12011 - 11900) + chr(0b100011 + 0o16) + chr(53) + chr(0b1001 + 0o54), 41619 - 41611), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(0b10110 + 0o32), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10795 - 10684) + chr(0b101100 + 0o5) + '\x36' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(76 - 28) + chr(4942 - 4831) + chr(0b1111 + 0o42) + chr(2640 - 2587), 48739 - 48731), ehT0Px3KOsy9(chr(0b110000) + chr(0b101100 + 0o103) + chr(0b100101 + 0o14) + chr(0b110100) + chr(0b110011 + 0o4), 0b1000), ehT0Px3KOsy9(chr(972 - 924) + '\x6f' + chr(0b110101), 18116 - 18108), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(172 - 121) + chr(48) + '\066', 0b1000), ehT0Px3KOsy9(chr(1986 - 1938) + chr(0b1001 + 0o146) + chr(0b1011 + 0o46) + chr(0b1011 + 0o54), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(256 - 207) + chr(0b110010) + chr(430 - 379), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(475 - 424) + chr(0b110010) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(8116 - 8005) + chr(1218 - 1168) + chr(0b110000) + chr(0b101111 + 0o1), 3257 - 3249), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(0b111 + 0o60) + chr(373 - 324), 0b1000), ehT0Px3KOsy9('\060' + chr(9759 - 9648) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(1012 - 964) + chr(0b1101111) + '\063' + chr(0b10111 + 0o31) + chr(55), 58094 - 58086), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100000 + 0o21) + chr(0b101001 + 0o15), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + '\065', 55209 - 55201), ehT0Px3KOsy9(chr(1537 - 1489) + chr(0b100100 + 0o113) + '\063' + chr(0b100001 + 0o20) + chr(0b110101), 34452 - 34444), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011), 8), ehT0Px3KOsy9(chr(1804 - 1756) + '\157' + chr(50) + chr(0b110011) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10111 + 0o130) + chr(0b110011) + chr(0b110011) + chr(0b100100 + 0o23), ord("\x08")), ehT0Px3KOsy9('\060' + chr(498 - 387) + '\x33' + chr(0b110000) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(2169 - 2121) + '\157' + '\x33' + chr(2562 - 2507) + chr(51), 54958 - 54950), ehT0Px3KOsy9('\x30' + chr(0b11001 + 0o126) + chr(2187 - 2136) + '\x36' + chr(611 - 559), 0b1000), ehT0Px3KOsy9(chr(1403 - 1355) + '\157' + chr(0b110010) + chr(0b110011) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + chr(1374 - 1324) + chr(52) + chr(54), 22302 - 22294), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(758 - 708) + chr(0b110010) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b10000 + 0o42) + chr(50), 53821 - 53813), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\x30' + '\x31', 55725 - 55717), ehT0Px3KOsy9(chr(814 - 766) + chr(715 - 604) + chr(0b1000 + 0o52) + '\060' + chr(0b110111), 40970 - 40962), ehT0Px3KOsy9(chr(365 - 317) + chr(0b1101111) + chr(50) + chr(771 - 723) + chr(706 - 653), 54066 - 54058), ehT0Px3KOsy9(chr(1986 - 1938) + chr(0b1101111 + 0o0) + chr(0b100101 + 0o15) + chr(0b1011 + 0o51), 39303 - 39295), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b111000 + 0o67) + '\x31' + chr(0b1101 + 0o50) + chr(2309 - 2255), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1010000 + 0o37) + chr(0b100010 + 0o20) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(10535 - 10424) + chr(92 - 41) + chr(0b110001) + chr(583 - 529), 45785 - 45777), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + chr(51) + chr(0b110001) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(0b110011) + chr(0b101001 + 0o11) + chr(0b10000 + 0o46), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(0b110001) + '\x36', 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\x35' + chr(0b11010 + 0o33), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + chr(2592 - 2539) + chr(394 - 346), 47964 - 47956)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e'), chr(100) + chr(0b1100101) + chr(99) + chr(7062 - 6951) + chr(0b11 + 0o141) + chr(0b101 + 0o140))('\165' + chr(0b1110100) + chr(102) + '\x2d' + chr(1677 - 1621)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def fRgNGt6BrI25(oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
Oynw8flqk0TY = e_2m_ddtWLQF._fix_attribute_names(oIhwMA96NShQ, {xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1w\x08{'), chr(0b100 + 0o140) + '\145' + '\x63' + '\x6f' + '\144' + chr(101))('\x75' + '\x74' + chr(0b1100110) + '\055' + '\x38'): xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1w\x04{'), chr(3252 - 3152) + chr(1559 - 1458) + chr(99) + '\157' + chr(2955 - 2855) + chr(4630 - 4529))(chr(12389 - 12272) + chr(0b1001 + 0o153) + chr(8927 - 8825) + chr(0b1001 + 0o44) + chr(0b100010 + 0o26))})
return (xafqLlk3kkUe(SXOLrMavuUCe(b'\xcdn\x15'), chr(4642 - 4542) + chr(7443 - 7342) + '\x63' + chr(10764 - 10653) + '\144' + chr(1943 - 1842))('\x75' + '\x74' + chr(3565 - 3463) + '\055' + chr(0b111000)), Oynw8flqk0TY, vXoupepMtCXU)
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