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apache/incubator-mxnet
|
example/vae-gan/vaegan_mxnet.py
|
fill_buf
|
def fill_buf(buf, i, img, shape):
'''fill the ith grid of the buffer matrix with the values from the img
buf : buffer matrix
i : serial of the image in the 2D grid
img : image data
shape : ( height width depth ) of image'''
# grid height is a multiple of individual image height
m = buf.shape[0]/shape[0]
sx = (i%m)*shape[1]
sy = (i//m)*shape[0]
sx = int(sx)
sy = int(sy)
buf[sy:sy+shape[0], sx:sx+shape[1], :] = img
|
python
|
def fill_buf(buf, i, img, shape):
'''fill the ith grid of the buffer matrix with the values from the img
buf : buffer matrix
i : serial of the image in the 2D grid
img : image data
shape : ( height width depth ) of image'''
# grid height is a multiple of individual image height
m = buf.shape[0]/shape[0]
sx = (i%m)*shape[1]
sy = (i//m)*shape[0]
sx = int(sx)
sy = int(sy)
buf[sy:sy+shape[0], sx:sx+shape[1], :] = img
|
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fill the ith grid of the buffer matrix with the values from the img
buf : buffer matrix
i : serial of the image in the 2D grid
img : image data
shape : ( height width depth ) of image
|
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/vae-gan/vaegan_mxnet.py#L254-L268
|
train
|
fill the ith grid of the buffer matrix with the values from the img
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + chr(0b110111) + chr(1927 - 1879), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11110 + 0o25) + chr(0b110110) + chr(767 - 717), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101011 + 0o4) + chr(2384 - 2334) + '\x36' + chr(48), 2412 - 2404), ehT0Px3KOsy9(chr(48) + chr(0b10110 + 0o131) + '\x31' + chr(94 - 41) + '\x30', 0o10), ehT0Px3KOsy9(chr(518 - 470) + '\157' + chr(0b110001) + chr(2154 - 2106) + chr(0b11000 + 0o35), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(54) + chr(0b11010 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1010 + 0o47) + chr(354 - 304) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + '\063' + chr(0b100000 + 0o27), 26084 - 26076), ehT0Px3KOsy9('\x30' + chr(4607 - 4496) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11 + 0o154) + '\x31' + chr(844 - 796) + chr(53), 8), ehT0Px3KOsy9(chr(48) + chr(0b1011111 + 0o20) + '\061' + chr(0b11001 + 0o35) + chr(110 - 55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011101 + 0o22) + '\x35' + chr(1044 - 989), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1011111 + 0o20) + '\x31' + chr(50) + chr(2107 - 2056), 0b1000), ehT0Px3KOsy9(chr(429 - 381) + chr(7741 - 7630) + chr(0b1111 + 0o44) + '\x37' + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b10011 + 0o134) + chr(0b1011 + 0o47) + chr(194 - 141), 56717 - 56709), ehT0Px3KOsy9(chr(1225 - 1177) + '\157' + chr(0b110001) + '\x30' + chr(0b110011 + 0o2), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(2031 - 1977), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + chr(1539 - 1489) + chr(0b110101) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101100 + 0o3) + '\061' + '\x32' + chr(415 - 360), 8), ehT0Px3KOsy9('\x30' + chr(0b100110 + 0o111) + '\064' + chr(167 - 119), 0b1000), ehT0Px3KOsy9(chr(48) + chr(8486 - 8375) + chr(50) + chr(1763 - 1713) + chr(1607 - 1558), ord("\x08")), ehT0Px3KOsy9(chr(358 - 310) + chr(0b100111 + 0o110) + chr(0b110010) + '\066' + '\x32', 50003 - 49995), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\066' + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(706 - 652) + chr(51), 0o10), ehT0Px3KOsy9(chr(1538 - 1490) + chr(0b1101111) + chr(0b110010) + '\062' + chr(1613 - 1564), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10010 + 0o37) + chr(0b1101 + 0o43) + '\063', 19817 - 19809), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\x31' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(1982 - 1934) + chr(295 - 184) + chr(51) + chr(0b1110 + 0o43) + chr(2397 - 2345), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(1044 - 995) + '\066', 26097 - 26089), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + '\x33' + '\067' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1328 - 1217) + chr(51) + chr(54), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b110011) + chr(48), 14597 - 14589), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(870 - 818) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011101 + 0o22) + chr(1223 - 1174) + chr(0b1101 + 0o52) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100110 + 0o15) + '\x34' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1100100 + 0o13) + '\x37' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(49) + '\061' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(710 - 659) + chr(0b101110 + 0o4) + chr(704 - 649), 0o10), ehT0Px3KOsy9('\060' + chr(2972 - 2861) + '\062' + '\064' + chr(2041 - 1987), 0b1000), ehT0Px3KOsy9('\060' + chr(0b101101 + 0o102) + chr(49) + chr(0b110111 + 0o0) + '\x34', 44090 - 44082)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(0b110101) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x16'), chr(4253 - 4153) + chr(8440 - 8339) + '\x63' + chr(0b1101111) + chr(0b111111 + 0o45) + chr(0b101001 + 0o74))('\165' + chr(12894 - 12778) + chr(1522 - 1420) + chr(45) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def L6W4EWr9KdT1(b3K7dbpII422, WVxHKyX45z_L, s63jeLEbd8fs, nauYfLglTpcb):
r8ufID9JCHnI = b3K7dbpII422.nauYfLglTpcb[ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x30', 0o10)] / nauYfLglTpcb[ehT0Px3KOsy9(chr(48) + chr(0b1100101 + 0o12) + '\060', 8)]
rXiaUMmHC2Bo = WVxHKyX45z_L % r8ufID9JCHnI * nauYfLglTpcb[ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100010 + 0o17), ord("\x08"))]
o1D3A0MkoUBT = WVxHKyX45z_L // r8ufID9JCHnI * nauYfLglTpcb[ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(1852 - 1804), 8)]
rXiaUMmHC2Bo = ehT0Px3KOsy9(rXiaUMmHC2Bo)
o1D3A0MkoUBT = ehT0Px3KOsy9(o1D3A0MkoUBT)
b3K7dbpII422[o1D3A0MkoUBT:o1D3A0MkoUBT + nauYfLglTpcb[ehT0Px3KOsy9('\x30' + chr(8022 - 7911) + chr(0b111 + 0o51), 8)], rXiaUMmHC2Bo:rXiaUMmHC2Bo + nauYfLglTpcb[ehT0Px3KOsy9('\060' + '\x6f' + chr(49), 8)], :] = s63jeLEbd8fs
|
apache/incubator-mxnet
|
example/vae-gan/vaegan_mxnet.py
|
visual
|
def visual(title, X, activation):
'''create a grid of images and save it as a final image
title : grid image name
X : array of images
'''
assert len(X.shape) == 4
X = X.transpose((0, 2, 3, 1))
if activation == 'sigmoid':
X = np.clip((X)*(255.0), 0, 255).astype(np.uint8)
elif activation == 'tanh':
X = np.clip((X+1.0)*(255.0/2.0), 0, 255).astype(np.uint8)
n = np.ceil(np.sqrt(X.shape[0]))
buff = np.zeros((int(n*X.shape[1]), int(n*X.shape[2]), int(X.shape[3])), dtype=np.uint8)
for i, img in enumerate(X):
fill_buf(buff, i, img, X.shape[1:3])
cv2.imwrite('%s.jpg' % (title), buff)
|
python
|
def visual(title, X, activation):
'''create a grid of images and save it as a final image
title : grid image name
X : array of images
'''
assert len(X.shape) == 4
X = X.transpose((0, 2, 3, 1))
if activation == 'sigmoid':
X = np.clip((X)*(255.0), 0, 255).astype(np.uint8)
elif activation == 'tanh':
X = np.clip((X+1.0)*(255.0/2.0), 0, 255).astype(np.uint8)
n = np.ceil(np.sqrt(X.shape[0]))
buff = np.zeros((int(n*X.shape[1]), int(n*X.shape[2]), int(X.shape[3])), dtype=np.uint8)
for i, img in enumerate(X):
fill_buf(buff, i, img, X.shape[1:3])
cv2.imwrite('%s.jpg' % (title), buff)
|
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create a grid of images and save it as a final image
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X : array of images
|
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/vae-gan/vaegan_mxnet.py#L270-L286
|
train
|
create a grid of images and save it as a final image
|
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) + '\x31' + chr(53) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(49) + chr(0b110001) + chr(344 - 289), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110001 + 0o76) + chr(0b110001) + chr(1650 - 1601) + chr(0b101110 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b110011) + chr(1726 - 1676), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100100 + 0o113) + chr(0b110011) + chr(52) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(0b110101) + chr(714 - 659), 0b1000), ehT0Px3KOsy9(chr(468 - 420) + chr(0b1101111) + chr(927 - 877) + chr(50) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(9200 - 9089) + chr(0b11 + 0o60) + '\x37' + chr(0b101000 + 0o10), 48838 - 48830), ehT0Px3KOsy9(chr(1392 - 1344) + chr(0b10011 + 0o134) + chr(2412 - 2361) + '\x37' + chr(2546 - 2491), 0b1000), ehT0Px3KOsy9('\060' + chr(0b10110 + 0o131) + '\063' + '\067' + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(55) + chr(0b110110), 9263 - 9255), ehT0Px3KOsy9(chr(48) + chr(0b10011 + 0o134) + '\x31' + chr(0b110110) + chr(54), 29807 - 29799), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\066' + chr(1312 - 1259), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(3887 - 3776) + chr(2093 - 2043) + chr(726 - 673) + chr(0b10000 + 0o40), ord("\x08")), ehT0Px3KOsy9('\060' + chr(7142 - 7031) + chr(0b110101) + chr(1095 - 1046), 8), ehT0Px3KOsy9(chr(1468 - 1420) + chr(0b1101111) + '\063' + chr(0b110100) + chr(808 - 758), 22796 - 22788), ehT0Px3KOsy9(chr(291 - 243) + '\157' + chr(0b10001 + 0o41) + '\x32' + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10111 + 0o35) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\063' + chr(0b11110 + 0o30), 0o10), ehT0Px3KOsy9(chr(770 - 722) + chr(111) + chr(0b10001 + 0o40) + '\x36' + chr(51), 62017 - 62009), ehT0Px3KOsy9(chr(1861 - 1813) + '\x6f' + '\x33' + chr(2303 - 2254) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011011 + 0o24) + chr(0b100 + 0o56) + chr(0b1101 + 0o52) + chr(0b110000 + 0o2), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(246 - 196), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100001 + 0o16) + chr(49) + chr(1638 - 1588) + chr(0b101011 + 0o14), 0o10), ehT0Px3KOsy9(chr(297 - 249) + '\x6f' + chr(0b110010) + '\062' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(10682 - 10571) + chr(1948 - 1898) + chr(0b110100) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(2093 - 1982) + '\x31' + '\x31' + chr(0b1001 + 0o55), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(1701 - 1647) + chr(0b1010 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(1654 - 1606) + '\157' + chr(0b110010) + chr(397 - 344) + chr(0b10000 + 0o47), 0b1000), ehT0Px3KOsy9(chr(2245 - 2197) + chr(0b1011000 + 0o27) + chr(0b110011) + chr(0b1011 + 0o53) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(276 - 228) + '\x6f' + chr(51) + chr(0b110100) + chr(0b101100 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2153 - 2102) + chr(0b100 + 0o63) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b10101 + 0o34) + chr(0b110001), 11377 - 11369), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\067' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6429 - 6318) + '\063' + chr(0b110110) + '\066', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11100 + 0o26) + '\x36' + chr(854 - 801), 8), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(0b110010) + chr(1339 - 1291) + '\060', 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(0b110001) + chr(0b100000 + 0o20) + chr(670 - 616), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1449 - 1401) + chr(8016 - 7905) + chr(0b110101) + chr(0b10000 + 0o40), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'G'), chr(0b101000 + 0o74) + '\x65' + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b1001 + 0o154) + chr(0b111010 + 0o72) + chr(8059 - 7957) + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def DF3PlOL9iqUW(IkttdaI0bGlA, xEgrFJ0REugl, _GyOifGFZyk1):
assert c2A0yzQpDQB3(xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07.>E<\xafH\xff}\x88\x9c\x9e'), chr(100) + chr(0b1100101) + chr(0b1010101 + 0o16) + '\x6f' + '\x64' + chr(1362 - 1261))(chr(0b1110101) + chr(2802 - 2686) + chr(2655 - 2553) + chr(45) + '\x38'))) == ehT0Px3KOsy9('\x30' + chr(0b110011 + 0o74) + chr(0b110100), 49390 - 49382)
xEgrFJ0REugl = xEgrFJ0REugl.transpose((ehT0Px3KOsy9('\x30' + chr(0b1011111 + 0o20) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11110 + 0o24), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + '\061', 2161 - 2153)))
if _GyOifGFZyk1 == xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a&,q5\x8aK'), chr(100) + chr(0b1100101) + chr(0b101011 + 0o70) + chr(2291 - 2180) + chr(0b1000001 + 0o43) + chr(0b1100101))(chr(0b1000101 + 0o60) + chr(0b1001111 + 0o45) + chr(0b100 + 0o142) + chr(0b11001 + 0o24) + '\070'):
xEgrFJ0REugl = WqUC3KWvYVup.clip(xEgrFJ0REugl * 255.0, ehT0Px3KOsy9(chr(0b110000) + chr(0b1100111 + 0o10) + chr(0b10110 + 0o32), 8), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b110111) + '\067', 8)).astype(WqUC3KWvYVup.uint8)
elif _GyOifGFZyk1 == xafqLlk3kkUe(SXOLrMavuUCe(b'\x1d.%t'), '\144' + '\x65' + chr(0b1110 + 0o125) + '\157' + chr(5601 - 5501) + chr(0b1100101))(chr(0b1000110 + 0o57) + '\x74' + chr(3691 - 3589) + chr(618 - 573) + chr(0b101111 + 0o11)):
xEgrFJ0REugl = WqUC3KWvYVup.clip((xEgrFJ0REugl + 1.0) * (255.0 / 2.0), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\060', 8), ehT0Px3KOsy9('\060' + '\157' + '\x33' + '\x37' + chr(55), 8)).astype(WqUC3KWvYVup.uint8)
m1NkCryOw9Bx = WqUC3KWvYVup.ceil(WqUC3KWvYVup.sqrt(xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9(chr(827 - 779) + '\157' + chr(48), 8)]))
c0oC7XMBxwn9 = WqUC3KWvYVup.zeros((ehT0Px3KOsy9(m1NkCryOw9Bx * xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(0b110 + 0o53), 8)]), ehT0Px3KOsy9(m1NkCryOw9Bx * xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9('\x30' + chr(0b1001111 + 0o40) + chr(0b110010), 8)]), ehT0Px3KOsy9(xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(0b0 + 0o63), 8)])), dtype=WqUC3KWvYVup.uint8)
for (WVxHKyX45z_L, s63jeLEbd8fs) in YlkZvXL8qwsX(xEgrFJ0REugl):
L6W4EWr9KdT1(c0oC7XMBxwn9, WVxHKyX45z_L, s63jeLEbd8fs, xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07.>E<\xafH\xff}\x88\x9c\x9e'), chr(6564 - 6464) + chr(101) + chr(9488 - 9389) + chr(0b1101111) + chr(0b1110 + 0o126) + '\145')(chr(0b1110101) + '\x74' + '\146' + chr(0b101101) + chr(0b111000)))[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(386 - 337), 8):ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(4474 - 4363) + '\063', 8)])
xafqLlk3kkUe(KJXrc9aHu3IJ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x00"<n3\x97J'), chr(2273 - 2173) + chr(2844 - 2743) + chr(0b100011 + 0o100) + '\157' + chr(0b11011 + 0o111) + '\x65')(chr(117) + chr(116) + chr(9141 - 9039) + '\055' + chr(752 - 696)))(xafqLlk3kkUe(SXOLrMavuUCe(b'L<ev*\x84'), '\144' + '\145' + chr(99) + '\x6f' + chr(1497 - 1397) + chr(101))(chr(0b1110101) + '\x74' + '\146' + chr(0b101101) + chr(952 - 896)) % IkttdaI0bGlA, c0oC7XMBxwn9)
|
apache/incubator-mxnet
|
example/vae-gan/vaegan_mxnet.py
|
train
|
def train(dataset, nef, ndf, ngf, nc, batch_size, Z, lr, beta1, epsilon, ctx, check_point, g_dl_weight, output_path, checkpoint_path, data_path, activation,num_epoch, save_after_every, visualize_after_every, show_after_every):
'''adversarial training of the VAE
'''
#encoder
z_mu, z_lv, z = encoder(nef, Z, batch_size)
symE = mx.sym.Group([z_mu, z_lv, z])
#generator
symG = generator(ngf, nc, no_bias=True, fix_gamma=True, eps=1e-5 + 1e-12, z_dim = Z, activation=activation )
#discriminator
h = discriminator1(ndf)
dloss = discriminator2(ndf)
symD1 = h
symD2 = dloss
# ==============data==============
X_train, _ = get_data(data_path, activation)
train_iter = mx.io.NDArrayIter(X_train, batch_size=batch_size, shuffle=True)
rand_iter = RandIter(batch_size, Z)
label = mx.nd.zeros((batch_size,), ctx=ctx)
# =============module E=============
modE = mx.mod.Module(symbol=symE, data_names=('data',), label_names=None, context=ctx)
modE.bind(data_shapes=train_iter.provide_data)
modE.init_params(initializer=mx.init.Normal(0.02))
modE.init_optimizer(
optimizer='adam',
optimizer_params={
'learning_rate': lr,
'wd': 1e-6,
'beta1': beta1,
'epsilon': epsilon,
'rescale_grad': (1.0/batch_size)
})
mods = [modE]
# =============module G=============
modG = mx.mod.Module(symbol=symG, data_names=('rand',), label_names=None, context=ctx)
modG.bind(data_shapes=rand_iter.provide_data, inputs_need_grad=True)
modG.init_params(initializer=mx.init.Normal(0.02))
modG.init_optimizer(
optimizer='adam',
optimizer_params={
'learning_rate': lr,
'wd': 1e-6,
'beta1': beta1,
'epsilon': epsilon,
})
mods.append(modG)
# =============module D=============
modD1 = mx.mod.Module(symD1, label_names=[], context=ctx)
modD2 = mx.mod.Module(symD2, label_names=('label',), context=ctx)
modD = mx.mod.SequentialModule()
modD.add(modD1).add(modD2, take_labels=True, auto_wiring=True)
modD.bind(data_shapes=train_iter.provide_data,
label_shapes=[('label', (batch_size,))],
inputs_need_grad=True)
modD.init_params(initializer=mx.init.Normal(0.02))
modD.init_optimizer(
optimizer='adam',
optimizer_params={
'learning_rate': lr,
'wd': 1e-3,
'beta1': beta1,
'epsilon': epsilon,
'rescale_grad': (1.0/batch_size)
})
mods.append(modD)
# =============module DL=============
symDL = DiscriminatorLayerLoss()
modDL = mx.mod.Module(symbol=symDL, data_names=('data',), label_names=('label',), context=ctx)
modDL.bind(data_shapes=[('data', (batch_size,nef * 4,4,4))], ################################################################################################################################ fix 512 here
label_shapes=[('label', (batch_size,nef * 4,4,4))],
inputs_need_grad=True)
modDL.init_params(initializer=mx.init.Normal(0.02))
modDL.init_optimizer(
optimizer='adam',
optimizer_params={
'learning_rate': lr,
'wd': 0.,
'beta1': beta1,
'epsilon': epsilon,
'rescale_grad': (1.0/batch_size)
})
# =============module KL=============
symKL = KLDivergenceLoss()
modKL = mx.mod.Module(symbol=symKL, data_names=('data',), label_names=None, context=ctx)
modKL.bind(data_shapes=[('data', (batch_size*2,Z))],
inputs_need_grad=True)
modKL.init_params(initializer=mx.init.Normal(0.02))
modKL.init_optimizer(
optimizer='adam',
optimizer_params={
'learning_rate': lr,
'wd': 0.,
'beta1': beta1,
'epsilon': epsilon,
'rescale_grad': (1.0/batch_size)
})
mods.append(modKL)
def norm_stat(d):
return mx.nd.norm(d)/np.sqrt(d.size)
mon = mx.mon.Monitor(10, norm_stat, pattern=".*output|d1_backward_data", sort=True)
mon = None
if mon is not None:
for mod in mods:
pass
def facc(label, pred):
'''calculating prediction accuracy
'''
pred = pred.ravel()
label = label.ravel()
return ((pred > 0.5) == label).mean()
def fentropy(label, pred):
'''calculating binary cross-entropy loss
'''
pred = pred.ravel()
label = label.ravel()
return -(label*np.log(pred+1e-12) + (1.-label)*np.log(1.-pred+1e-12)).mean()
def kldivergence(label, pred):
'''calculating KL divergence loss
'''
mean, log_var = np.split(pred, 2, axis=0)
var = np.exp(log_var)
KLLoss = -0.5 * np.sum(1 + log_var - np.power(mean, 2) - var)
KLLoss = KLLoss / nElements
return KLLoss
mG = mx.metric.CustomMetric(fentropy)
mD = mx.metric.CustomMetric(fentropy)
mE = mx.metric.CustomMetric(kldivergence)
mACC = mx.metric.CustomMetric(facc)
print('Training...')
stamp = datetime.now().strftime('%Y_%m_%d-%H_%M')
# =============train===============
for epoch in range(num_epoch):
train_iter.reset()
for t, batch in enumerate(train_iter):
rbatch = rand_iter.next()
if mon is not None:
mon.tic()
modG.forward(rbatch, is_train=True)
outG = modG.get_outputs()
# update discriminator on fake
label[:] = 0
modD.forward(mx.io.DataBatch(outG, [label]), is_train=True)
modD.backward()
gradD11 = [[grad.copyto(grad.context) for grad in grads] for grads in modD1._exec_group.grad_arrays]
gradD12 = [[grad.copyto(grad.context) for grad in grads] for grads in modD2._exec_group.grad_arrays]
modD.update_metric(mD, [label])
modD.update_metric(mACC, [label])
#update discriminator on decoded
modE.forward(batch, is_train=True)
mu, lv, z = modE.get_outputs()
z = z.reshape((batch_size, Z, 1, 1))
sample = mx.io.DataBatch([z], label=None, provide_data = [('rand', (batch_size, Z, 1, 1))])
modG.forward(sample, is_train=True)
xz = modG.get_outputs()
label[:] = 0
modD.forward(mx.io.DataBatch(xz, [label]), is_train=True)
modD.backward()
#modD.update()
gradD21 = [[grad.copyto(grad.context) for grad in grads] for grads in modD1._exec_group.grad_arrays]
gradD22 = [[grad.copyto(grad.context) for grad in grads] for grads in modD2._exec_group.grad_arrays]
modD.update_metric(mD, [label])
modD.update_metric(mACC, [label])
# update discriminator on real
label[:] = 1
batch.label = [label]
modD.forward(batch, is_train=True)
lx = [out.copyto(out.context) for out in modD1.get_outputs()]
modD.backward()
for gradsr, gradsf, gradsd in zip(modD1._exec_group.grad_arrays, gradD11, gradD21):
for gradr, gradf, gradd in zip(gradsr, gradsf, gradsd):
gradr += 0.5 * (gradf + gradd)
for gradsr, gradsf, gradsd in zip(modD2._exec_group.grad_arrays, gradD12, gradD22):
for gradr, gradf, gradd in zip(gradsr, gradsf, gradsd):
gradr += 0.5 * (gradf + gradd)
modD.update()
modD.update_metric(mD, [label])
modD.update_metric(mACC, [label])
modG.forward(rbatch, is_train=True)
outG = modG.get_outputs()
label[:] = 1
modD.forward(mx.io.DataBatch(outG, [label]), is_train=True)
modD.backward()
diffD = modD1.get_input_grads()
modG.backward(diffD)
gradG1 = [[grad.copyto(grad.context) for grad in grads] for grads in modG._exec_group.grad_arrays]
mG.update([label], modD.get_outputs())
modG.forward(sample, is_train=True)
xz = modG.get_outputs()
label[:] = 1
modD.forward(mx.io.DataBatch(xz, [label]), is_train=True)
modD.backward()
diffD = modD1.get_input_grads()
modG.backward(diffD)
gradG2 = [[grad.copyto(grad.context) for grad in grads] for grads in modG._exec_group.grad_arrays]
mG.update([label], modD.get_outputs())
modG.forward(sample, is_train=True)
xz = modG.get_outputs()
modD1.forward(mx.io.DataBatch(xz, []), is_train=True)
outD1 = modD1.get_outputs()
modDL.forward(mx.io.DataBatch(outD1, lx), is_train=True)
modDL.backward()
dlGrad = modDL.get_input_grads()
modD1.backward(dlGrad)
diffD = modD1.get_input_grads()
modG.backward(diffD)
for grads, gradsG1, gradsG2 in zip(modG._exec_group.grad_arrays, gradG1, gradG2):
for grad, gradg1, gradg2 in zip(grads, gradsG1, gradsG2):
grad = g_dl_weight * grad + 0.5 * (gradg1 + gradg2)
modG.update()
mG.update([label], modD.get_outputs())
modG.forward(rbatch, is_train=True)
outG = modG.get_outputs()
label[:] = 1
modD.forward(mx.io.DataBatch(outG, [label]), is_train=True)
modD.backward()
diffD = modD1.get_input_grads()
modG.backward(diffD)
gradG1 = [[grad.copyto(grad.context) for grad in grads] for grads in modG._exec_group.grad_arrays]
mG.update([label], modD.get_outputs())
modG.forward(sample, is_train=True)
xz = modG.get_outputs()
label[:] = 1
modD.forward(mx.io.DataBatch(xz, [label]), is_train=True)
modD.backward()
diffD = modD1.get_input_grads()
modG.backward(diffD)
gradG2 = [[grad.copyto(grad.context) for grad in grads] for grads in modG._exec_group.grad_arrays]
mG.update([label], modD.get_outputs())
modG.forward(sample, is_train=True)
xz = modG.get_outputs()
modD1.forward(mx.io.DataBatch(xz, []), is_train=True)
outD1 = modD1.get_outputs()
modDL.forward(mx.io.DataBatch(outD1, lx), is_train=True)
modDL.backward()
dlGrad = modDL.get_input_grads()
modD1.backward(dlGrad)
diffD = modD1.get_input_grads()
modG.backward(diffD)
for grads, gradsG1, gradsG2 in zip(modG._exec_group.grad_arrays, gradG1, gradG2):
for grad, gradg1, gradg2 in zip(grads, gradsG1, gradsG2):
grad = g_dl_weight * grad + 0.5 * (gradg1 + gradg2)
modG.update()
mG.update([label], modD.get_outputs())
modG.forward(sample, is_train=True)
xz = modG.get_outputs()
#update generator
modD1.forward(mx.io.DataBatch(xz, []), is_train=True)
outD1 = modD1.get_outputs()
modDL.forward(mx.io.DataBatch(outD1, lx), is_train=True)
DLloss = modDL.get_outputs()
modDL.backward()
dlGrad = modDL.get_input_grads()
modD1.backward(dlGrad)
diffD = modD1.get_input_grads()
modG.backward(diffD)
#update encoder
nElements = batch_size
modKL.forward(mx.io.DataBatch([mx.ndarray.concat(mu,lv, dim=0)]), is_train=True)
KLloss = modKL.get_outputs()
modKL.backward()
gradKLLoss = modKL.get_input_grads()
diffG = modG.get_input_grads()
diffG = diffG[0].reshape((batch_size, Z))
modE.backward(mx.ndarray.split(gradKLLoss[0], num_outputs=2, axis=0) + [diffG])
modE.update()
pred = mx.ndarray.concat(mu,lv, dim=0)
mE.update([pred], [pred])
if mon is not None:
mon.toc_print()
t += 1
if t % show_after_every == 0:
print('epoch:', epoch, 'iter:', t, 'metric:', mACC.get(), mG.get(), mD.get(), mE.get(), KLloss[0].asnumpy(), DLloss[0].asnumpy())
mACC.reset()
mG.reset()
mD.reset()
mE.reset()
if epoch % visualize_after_every == 0:
visual(output_path +'gout'+str(epoch), outG[0].asnumpy(), activation)
visual(output_path + 'data'+str(epoch), batch.data[0].asnumpy(), activation)
if check_point and epoch % save_after_every == 0:
print('Saving...')
modG.save_params(checkpoint_path + '/%s_G-%04d.params'%(dataset, epoch))
modD.save_params(checkpoint_path + '/%s_D-%04d.params'%(dataset, epoch))
modE.save_params(checkpoint_path + '/%s_E-%04d.params'%(dataset, epoch))
|
python
|
def train(dataset, nef, ndf, ngf, nc, batch_size, Z, lr, beta1, epsilon, ctx, check_point, g_dl_weight, output_path, checkpoint_path, data_path, activation,num_epoch, save_after_every, visualize_after_every, show_after_every):
'''adversarial training of the VAE
'''
#encoder
z_mu, z_lv, z = encoder(nef, Z, batch_size)
symE = mx.sym.Group([z_mu, z_lv, z])
#generator
symG = generator(ngf, nc, no_bias=True, fix_gamma=True, eps=1e-5 + 1e-12, z_dim = Z, activation=activation )
#discriminator
h = discriminator1(ndf)
dloss = discriminator2(ndf)
symD1 = h
symD2 = dloss
# ==============data==============
X_train, _ = get_data(data_path, activation)
train_iter = mx.io.NDArrayIter(X_train, batch_size=batch_size, shuffle=True)
rand_iter = RandIter(batch_size, Z)
label = mx.nd.zeros((batch_size,), ctx=ctx)
# =============module E=============
modE = mx.mod.Module(symbol=symE, data_names=('data',), label_names=None, context=ctx)
modE.bind(data_shapes=train_iter.provide_data)
modE.init_params(initializer=mx.init.Normal(0.02))
modE.init_optimizer(
optimizer='adam',
optimizer_params={
'learning_rate': lr,
'wd': 1e-6,
'beta1': beta1,
'epsilon': epsilon,
'rescale_grad': (1.0/batch_size)
})
mods = [modE]
# =============module G=============
modG = mx.mod.Module(symbol=symG, data_names=('rand',), label_names=None, context=ctx)
modG.bind(data_shapes=rand_iter.provide_data, inputs_need_grad=True)
modG.init_params(initializer=mx.init.Normal(0.02))
modG.init_optimizer(
optimizer='adam',
optimizer_params={
'learning_rate': lr,
'wd': 1e-6,
'beta1': beta1,
'epsilon': epsilon,
})
mods.append(modG)
# =============module D=============
modD1 = mx.mod.Module(symD1, label_names=[], context=ctx)
modD2 = mx.mod.Module(symD2, label_names=('label',), context=ctx)
modD = mx.mod.SequentialModule()
modD.add(modD1).add(modD2, take_labels=True, auto_wiring=True)
modD.bind(data_shapes=train_iter.provide_data,
label_shapes=[('label', (batch_size,))],
inputs_need_grad=True)
modD.init_params(initializer=mx.init.Normal(0.02))
modD.init_optimizer(
optimizer='adam',
optimizer_params={
'learning_rate': lr,
'wd': 1e-3,
'beta1': beta1,
'epsilon': epsilon,
'rescale_grad': (1.0/batch_size)
})
mods.append(modD)
# =============module DL=============
symDL = DiscriminatorLayerLoss()
modDL = mx.mod.Module(symbol=symDL, data_names=('data',), label_names=('label',), context=ctx)
modDL.bind(data_shapes=[('data', (batch_size,nef * 4,4,4))], ################################################################################################################################ fix 512 here
label_shapes=[('label', (batch_size,nef * 4,4,4))],
inputs_need_grad=True)
modDL.init_params(initializer=mx.init.Normal(0.02))
modDL.init_optimizer(
optimizer='adam',
optimizer_params={
'learning_rate': lr,
'wd': 0.,
'beta1': beta1,
'epsilon': epsilon,
'rescale_grad': (1.0/batch_size)
})
# =============module KL=============
symKL = KLDivergenceLoss()
modKL = mx.mod.Module(symbol=symKL, data_names=('data',), label_names=None, context=ctx)
modKL.bind(data_shapes=[('data', (batch_size*2,Z))],
inputs_need_grad=True)
modKL.init_params(initializer=mx.init.Normal(0.02))
modKL.init_optimizer(
optimizer='adam',
optimizer_params={
'learning_rate': lr,
'wd': 0.,
'beta1': beta1,
'epsilon': epsilon,
'rescale_grad': (1.0/batch_size)
})
mods.append(modKL)
def norm_stat(d):
return mx.nd.norm(d)/np.sqrt(d.size)
mon = mx.mon.Monitor(10, norm_stat, pattern=".*output|d1_backward_data", sort=True)
mon = None
if mon is not None:
for mod in mods:
pass
def facc(label, pred):
'''calculating prediction accuracy
'''
pred = pred.ravel()
label = label.ravel()
return ((pred > 0.5) == label).mean()
def fentropy(label, pred):
'''calculating binary cross-entropy loss
'''
pred = pred.ravel()
label = label.ravel()
return -(label*np.log(pred+1e-12) + (1.-label)*np.log(1.-pred+1e-12)).mean()
def kldivergence(label, pred):
'''calculating KL divergence loss
'''
mean, log_var = np.split(pred, 2, axis=0)
var = np.exp(log_var)
KLLoss = -0.5 * np.sum(1 + log_var - np.power(mean, 2) - var)
KLLoss = KLLoss / nElements
return KLLoss
mG = mx.metric.CustomMetric(fentropy)
mD = mx.metric.CustomMetric(fentropy)
mE = mx.metric.CustomMetric(kldivergence)
mACC = mx.metric.CustomMetric(facc)
print('Training...')
stamp = datetime.now().strftime('%Y_%m_%d-%H_%M')
# =============train===============
for epoch in range(num_epoch):
train_iter.reset()
for t, batch in enumerate(train_iter):
rbatch = rand_iter.next()
if mon is not None:
mon.tic()
modG.forward(rbatch, is_train=True)
outG = modG.get_outputs()
# update discriminator on fake
label[:] = 0
modD.forward(mx.io.DataBatch(outG, [label]), is_train=True)
modD.backward()
gradD11 = [[grad.copyto(grad.context) for grad in grads] for grads in modD1._exec_group.grad_arrays]
gradD12 = [[grad.copyto(grad.context) for grad in grads] for grads in modD2._exec_group.grad_arrays]
modD.update_metric(mD, [label])
modD.update_metric(mACC, [label])
#update discriminator on decoded
modE.forward(batch, is_train=True)
mu, lv, z = modE.get_outputs()
z = z.reshape((batch_size, Z, 1, 1))
sample = mx.io.DataBatch([z], label=None, provide_data = [('rand', (batch_size, Z, 1, 1))])
modG.forward(sample, is_train=True)
xz = modG.get_outputs()
label[:] = 0
modD.forward(mx.io.DataBatch(xz, [label]), is_train=True)
modD.backward()
#modD.update()
gradD21 = [[grad.copyto(grad.context) for grad in grads] for grads in modD1._exec_group.grad_arrays]
gradD22 = [[grad.copyto(grad.context) for grad in grads] for grads in modD2._exec_group.grad_arrays]
modD.update_metric(mD, [label])
modD.update_metric(mACC, [label])
# update discriminator on real
label[:] = 1
batch.label = [label]
modD.forward(batch, is_train=True)
lx = [out.copyto(out.context) for out in modD1.get_outputs()]
modD.backward()
for gradsr, gradsf, gradsd in zip(modD1._exec_group.grad_arrays, gradD11, gradD21):
for gradr, gradf, gradd in zip(gradsr, gradsf, gradsd):
gradr += 0.5 * (gradf + gradd)
for gradsr, gradsf, gradsd in zip(modD2._exec_group.grad_arrays, gradD12, gradD22):
for gradr, gradf, gradd in zip(gradsr, gradsf, gradsd):
gradr += 0.5 * (gradf + gradd)
modD.update()
modD.update_metric(mD, [label])
modD.update_metric(mACC, [label])
modG.forward(rbatch, is_train=True)
outG = modG.get_outputs()
label[:] = 1
modD.forward(mx.io.DataBatch(outG, [label]), is_train=True)
modD.backward()
diffD = modD1.get_input_grads()
modG.backward(diffD)
gradG1 = [[grad.copyto(grad.context) for grad in grads] for grads in modG._exec_group.grad_arrays]
mG.update([label], modD.get_outputs())
modG.forward(sample, is_train=True)
xz = modG.get_outputs()
label[:] = 1
modD.forward(mx.io.DataBatch(xz, [label]), is_train=True)
modD.backward()
diffD = modD1.get_input_grads()
modG.backward(diffD)
gradG2 = [[grad.copyto(grad.context) for grad in grads] for grads in modG._exec_group.grad_arrays]
mG.update([label], modD.get_outputs())
modG.forward(sample, is_train=True)
xz = modG.get_outputs()
modD1.forward(mx.io.DataBatch(xz, []), is_train=True)
outD1 = modD1.get_outputs()
modDL.forward(mx.io.DataBatch(outD1, lx), is_train=True)
modDL.backward()
dlGrad = modDL.get_input_grads()
modD1.backward(dlGrad)
diffD = modD1.get_input_grads()
modG.backward(diffD)
for grads, gradsG1, gradsG2 in zip(modG._exec_group.grad_arrays, gradG1, gradG2):
for grad, gradg1, gradg2 in zip(grads, gradsG1, gradsG2):
grad = g_dl_weight * grad + 0.5 * (gradg1 + gradg2)
modG.update()
mG.update([label], modD.get_outputs())
modG.forward(rbatch, is_train=True)
outG = modG.get_outputs()
label[:] = 1
modD.forward(mx.io.DataBatch(outG, [label]), is_train=True)
modD.backward()
diffD = modD1.get_input_grads()
modG.backward(diffD)
gradG1 = [[grad.copyto(grad.context) for grad in grads] for grads in modG._exec_group.grad_arrays]
mG.update([label], modD.get_outputs())
modG.forward(sample, is_train=True)
xz = modG.get_outputs()
label[:] = 1
modD.forward(mx.io.DataBatch(xz, [label]), is_train=True)
modD.backward()
diffD = modD1.get_input_grads()
modG.backward(diffD)
gradG2 = [[grad.copyto(grad.context) for grad in grads] for grads in modG._exec_group.grad_arrays]
mG.update([label], modD.get_outputs())
modG.forward(sample, is_train=True)
xz = modG.get_outputs()
modD1.forward(mx.io.DataBatch(xz, []), is_train=True)
outD1 = modD1.get_outputs()
modDL.forward(mx.io.DataBatch(outD1, lx), is_train=True)
modDL.backward()
dlGrad = modDL.get_input_grads()
modD1.backward(dlGrad)
diffD = modD1.get_input_grads()
modG.backward(diffD)
for grads, gradsG1, gradsG2 in zip(modG._exec_group.grad_arrays, gradG1, gradG2):
for grad, gradg1, gradg2 in zip(grads, gradsG1, gradsG2):
grad = g_dl_weight * grad + 0.5 * (gradg1 + gradg2)
modG.update()
mG.update([label], modD.get_outputs())
modG.forward(sample, is_train=True)
xz = modG.get_outputs()
#update generator
modD1.forward(mx.io.DataBatch(xz, []), is_train=True)
outD1 = modD1.get_outputs()
modDL.forward(mx.io.DataBatch(outD1, lx), is_train=True)
DLloss = modDL.get_outputs()
modDL.backward()
dlGrad = modDL.get_input_grads()
modD1.backward(dlGrad)
diffD = modD1.get_input_grads()
modG.backward(diffD)
#update encoder
nElements = batch_size
modKL.forward(mx.io.DataBatch([mx.ndarray.concat(mu,lv, dim=0)]), is_train=True)
KLloss = modKL.get_outputs()
modKL.backward()
gradKLLoss = modKL.get_input_grads()
diffG = modG.get_input_grads()
diffG = diffG[0].reshape((batch_size, Z))
modE.backward(mx.ndarray.split(gradKLLoss[0], num_outputs=2, axis=0) + [diffG])
modE.update()
pred = mx.ndarray.concat(mu,lv, dim=0)
mE.update([pred], [pred])
if mon is not None:
mon.toc_print()
t += 1
if t % show_after_every == 0:
print('epoch:', epoch, 'iter:', t, 'metric:', mACC.get(), mG.get(), mD.get(), mE.get(), KLloss[0].asnumpy(), DLloss[0].asnumpy())
mACC.reset()
mG.reset()
mD.reset()
mE.reset()
if epoch % visualize_after_every == 0:
visual(output_path +'gout'+str(epoch), outG[0].asnumpy(), activation)
visual(output_path + 'data'+str(epoch), batch.data[0].asnumpy(), activation)
if check_point and epoch % save_after_every == 0:
print('Saving...')
modG.save_params(checkpoint_path + '/%s_G-%04d.params'%(dataset, epoch))
modD.save_params(checkpoint_path + '/%s_D-%04d.params'%(dataset, epoch))
modE.save_params(checkpoint_path + '/%s_E-%04d.params'%(dataset, epoch))
|
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adversarial training of the VAE
|
[
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"training",
"of",
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/vae-gan/vaegan_mxnet.py#L288-L613
|
train
|
Train the VAE with the given dataset.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b110000 + 0o4) + chr(1243 - 1192), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010000 + 0o37) + chr(49) + chr(48) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(268 - 219) + chr(51) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5998 - 5887) + chr(49) + chr(0b101101 + 0o10) + chr(1591 - 1538), 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b10101 + 0o132) + '\x33' + chr(0b110100) + '\061', 59271 - 59263), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100011 + 0o16) + chr(0b110111) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101 + 0o54) + chr(0b11 + 0o64) + chr(1956 - 1908), 42938 - 42930), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + '\061' + chr(2673 - 2621) + chr(2704 - 2649), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + '\x37' + chr(0b110001), 56106 - 56098), ehT0Px3KOsy9(chr(1259 - 1211) + chr(0b1101111) + chr(1276 - 1226) + chr(49) + chr(335 - 283), 52782 - 52774), ehT0Px3KOsy9(chr(0b110000) + chr(0b110001 + 0o76) + chr(0b110101) + '\063', 12875 - 12867), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\x34' + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100101 + 0o15) + chr(51) + chr(55), 0o10), ehT0Px3KOsy9(chr(1527 - 1479) + chr(0b1011101 + 0o22) + chr(0b1000 + 0o56) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + '\062' + chr(1844 - 1793) + chr(0b101000 + 0o11), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100111 + 0o10) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(2018 - 1970) + '\x30', 18055 - 18047), ehT0Px3KOsy9('\060' + chr(111) + '\065' + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(0b10111 + 0o36) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\x35' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1868 - 1820) + chr(111) + '\x33' + '\x36' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + '\063' + '\x32' + chr(973 - 923), 45842 - 45834), ehT0Px3KOsy9('\x30' + chr(7080 - 6969) + '\063' + chr(0b101011 + 0o10) + chr(0b100010 + 0o16), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(53) + chr(0b100 + 0o57), 15413 - 15405), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b10100 + 0o43) + '\061', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\x30' + chr(691 - 643), 8), ehT0Px3KOsy9(chr(48) + chr(5501 - 5390) + '\x33' + '\060' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(1721 - 1670) + '\064' + chr(52), 15423 - 15415), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(54) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100000 + 0o23) + chr(0b110111) + '\063', 0o10), ehT0Px3KOsy9(chr(747 - 699) + chr(0b10110 + 0o131) + chr(0b110001) + chr(50) + '\x37', 33200 - 33192), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(50) + '\x35' + chr(0b11110 + 0o27), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11001 + 0o31) + chr(0b110100) + chr(904 - 853), 8), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(51) + '\064' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(732 - 684) + chr(0b1101111) + chr(49) + chr(232 - 178) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b110101) + '\x37', 8), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1001101 + 0o42) + '\061' + chr(485 - 431) + chr(1467 - 1416), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x35' + '\x35', 0b1000), ehT0Px3KOsy9(chr(364 - 316) + chr(111) + chr(0b10 + 0o60) + chr(52) + chr(0b110100), 19432 - 19424), ehT0Px3KOsy9(chr(48) + chr(5624 - 5513) + chr(50) + '\060' + chr(0b1 + 0o60), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100011 + 0o22) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d'), '\144' + chr(0b1001111 + 0o26) + chr(0b1100011 + 0o0) + chr(10407 - 10296) + chr(0b1100100) + chr(101))(chr(0b1110101) + '\164' + chr(2319 - 2217) + '\x2d' + chr(2349 - 2293)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def e80gRioCjdat(xQt6gV9VfTO3, rLkjDxw78CZ0, Ax7AJCRkuN0W, XyYAOYxuMEQH, hAyzt8r6DLE7, ix9dZyeAmUxY, lYSzSjlBurVZ, Zzs55KO_HKfp, f4f5me7W619A, Xtig2zAKpR0T, oM3jLo753XfX, Q4mk5tKpSFZv, bKjqDcVeoR8T, pybif4rGbt58, lbKq88EBpYWb, VdUkFhGc7tTb, _GyOifGFZyk1, FFScKvII7NXg, nSLlY8QB9rBq, U2P4LtjjnHfy, qcBK0Oj506zJ):
(JAS64qE3Kkya, T69PlcWnl4LX, AFGBo4BePxZi) = hoK3K1TwFlkr(rLkjDxw78CZ0, lYSzSjlBurVZ, ix9dZyeAmUxY)
M4wNgUKq_TF5 = CIVheOt0RKQX.sym.Group([JAS64qE3Kkya, T69PlcWnl4LX, AFGBo4BePxZi])
pzW8KkZIwztH = bTFcxMKbQoFz(XyYAOYxuMEQH, hAyzt8r6DLE7, no_bias=ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49), ord("\x08")), fix_gamma=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49), 8), eps=1e-05 + 1e-12, z_dim=lYSzSjlBurVZ, activation=_GyOifGFZyk1)
sz4HVsFVF8nL = JrKfgt1cgR6E(Ax7AJCRkuN0W)
nj5ae4nELPdZ = Cy3zSN63vKSc(Ax7AJCRkuN0W)
Z3lFmFapIPdL = sz4HVsFVF8nL
HpvJy01g2Shp = nj5ae4nELPdZ
(lBVWpm3twnT0, VNGQdHSFPrso) = Uif5YMYsaUYu(VdUkFhGc7tTb, _GyOifGFZyk1)
ORSP_0AjRz85 = CIVheOt0RKQX.io.NDArrayIter(lBVWpm3twnT0, batch_size=ix9dZyeAmUxY, shuffle=ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + chr(49), 8))
C2OmfCiyoO8b = vrv7TCHDBeE7(ix9dZyeAmUxY, lYSzSjlBurVZ)
TRUOLFLuD08x = CIVheOt0RKQX.nd.zeros((ix9dZyeAmUxY,), ctx=oM3jLo753XfX)
tnY4H_9Kt0yv = CIVheOt0RKQX.mod.Module(symbol=M4wNgUKq_TF5, data_names=(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7#/\x0c'), chr(100) + chr(0b1100101) + chr(0b1011010 + 0o11) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(0b1110001 + 0o4) + '\164' + '\146' + chr(0b11010 + 0o23) + '\070'),), label_names=None, context=oM3jLo753XfX)
xafqLlk3kkUe(tnY4H_9Kt0yv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1+5\t'), chr(0b1100100 + 0o0) + chr(4234 - 4133) + '\x63' + chr(0b10001 + 0o136) + '\144' + chr(101))('\x75' + chr(116) + '\x66' + '\x2d' + chr(56)))(data_shapes=xafqLlk3kkUe(ORSP_0AjRz85, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\x1do\x07\x940\x12\n2\xf5\\\xba'), '\144' + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(0b10101 + 0o137) + '\x66' + chr(2023 - 1978) + chr(0b111000))))
xafqLlk3kkUe(tnY4H_9Kt0yv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xca,2\x19\xbe\x0f\x19\x15\x18\xe1X'), chr(0b1100010 + 0o2) + chr(101) + '\x63' + chr(0b110010 + 0o75) + '\144' + '\x65')('\x75' + chr(11258 - 11142) + chr(0b1100110) + chr(45) + chr(423 - 367)))(initializer=xafqLlk3kkUe(CIVheOt0RKQX.init, xafqLlk3kkUe(SXOLrMavuUCe(b'\xed-)\x00\x80\x13'), chr(100) + '\x65' + '\143' + '\x6f' + '\144' + chr(0b100001 + 0o104))(chr(117) + chr(0b1110100) + chr(0b1011001 + 0o15) + chr(0b101101) + chr(3104 - 3048)))(0.02))
xafqLlk3kkUe(tnY4H_9Kt0yv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xca,2\x19\xbe\x10\x08\x13\x10\xe1B\x9f\xfaA'), '\x64' + chr(0b1011101 + 0o10) + chr(0b11100 + 0o107) + '\x6f' + chr(100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b111011 + 0o53) + chr(45) + chr(0b10011 + 0o45)))(optimizer=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2&:\x00'), chr(100) + chr(101) + '\x63' + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(0b1001 + 0o154) + '\164' + chr(0b1100110) + chr(0b10001 + 0o34) + chr(0b111000)), optimizer_params={xafqLlk3kkUe(SXOLrMavuUCe(b"\xcf':\x1f\x8f\x16\x16\x00&\xfeJ\x91\xfa"), '\144' + '\x65' + chr(3820 - 3721) + '\157' + chr(100) + chr(101))('\x75' + '\164' + '\x66' + chr(0b101101) + chr(1663 - 1607)): Zzs55KO_HKfp, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4&'), chr(100) + '\x65' + chr(99) + '\x6f' + '\x64' + chr(0b1100101))('\x75' + chr(8877 - 8761) + '\x66' + chr(45) + chr(0b111000)): 1e-06, xafqLlk3kkUe(SXOLrMavuUCe(b"\xc1'/\x0c\xd0"), chr(0b10010 + 0o122) + '\145' + '\x63' + chr(0b1101101 + 0o2) + '\144' + chr(101))(chr(117) + chr(0b1110100) + chr(2272 - 2170) + '\055' + '\x38'): f4f5me7W619A, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc62(\x04\x8d\x10\x16'), chr(0b101010 + 0o72) + '\x65' + '\143' + chr(0b1101111) + chr(100) + chr(0b1001010 + 0o33))('\x75' + chr(11759 - 11643) + '\146' + chr(1618 - 1573) + '\x38'): Xtig2zAKpR0T, xafqLlk3kkUe(SXOLrMavuUCe(b"\xd1'(\x0e\x80\x13\x1d8\x1e\xfeJ\x81"), '\x64' + '\145' + chr(8411 - 8312) + chr(0b111000 + 0o67) + '\144' + chr(5905 - 5804))('\165' + chr(116) + chr(0b1100110) + chr(0b100111 + 0o6) + chr(56)): 1.0 / ix9dZyeAmUxY})
SkdCawTvuLNj = [tnY4H_9Kt0yv]
OzPvD_Uxl8LC = CIVheOt0RKQX.mod.Module(symbol=pzW8KkZIwztH, data_names=(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1#5\t'), '\x64' + chr(101) + chr(99) + chr(0b1101111) + chr(0b1100100) + '\x65')('\165' + chr(12439 - 12323) + chr(0b1100110) + '\055' + '\070'),), label_names=None, context=oM3jLo753XfX)
xafqLlk3kkUe(OzPvD_Uxl8LC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1+5\t'), chr(0b1100100) + '\145' + chr(99) + chr(0b1001101 + 0o42) + '\x64' + chr(3261 - 3160))('\x75' + '\x74' + chr(0b1100110) + chr(1368 - 1323) + chr(1633 - 1577)))(data_shapes=xafqLlk3kkUe(C2OmfCiyoO8b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\x1do\x07\x940\x12\n2\xf5\\\xba'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(100) + chr(3399 - 3298))(chr(1445 - 1328) + chr(4763 - 4647) + chr(102) + chr(45) + chr(56))), inputs_need_grad=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10100 + 0o35), 8))
xafqLlk3kkUe(OzPvD_Uxl8LC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xca,2\x19\xbe\x0f\x19\x15\x18\xe1X'), '\x64' + '\x65' + chr(0b1100 + 0o127) + chr(0b1101111) + chr(0b1100100 + 0o0) + chr(101))(chr(0b1110101) + '\x74' + chr(0b1100011 + 0o3) + chr(315 - 270) + '\x38'))(initializer=xafqLlk3kkUe(CIVheOt0RKQX.init, xafqLlk3kkUe(SXOLrMavuUCe(b'\xed-)\x00\x80\x13'), chr(1740 - 1640) + chr(8028 - 7927) + '\143' + chr(0b1101111) + chr(0b1010111 + 0o15) + '\x65')('\x75' + chr(7624 - 7508) + chr(10258 - 10156) + chr(45) + chr(56)))(0.02))
xafqLlk3kkUe(OzPvD_Uxl8LC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xca,2\x19\xbe\x10\x08\x13\x10\xe1B\x9f\xfaA'), chr(2801 - 2701) + chr(0b101010 + 0o73) + chr(0b1100011) + chr(8698 - 8587) + chr(0b1000000 + 0o44) + chr(101))(chr(117) + chr(11970 - 11854) + chr(0b1100110) + chr(45) + chr(0b111000)))(optimizer=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2&:\x00'), chr(0b11001 + 0o113) + chr(3301 - 3200) + chr(0b100001 + 0o102) + '\x6f' + chr(0b1100100) + chr(0b1001111 + 0o26))('\165' + chr(116) + '\x66' + chr(1033 - 988) + chr(0b111000)), optimizer_params={xafqLlk3kkUe(SXOLrMavuUCe(b"\xcf':\x1f\x8f\x16\x16\x00&\xfeJ\x91\xfa"), chr(0b101001 + 0o73) + '\x65' + chr(0b1100011) + '\157' + '\144' + chr(0b101101 + 0o70))(chr(2303 - 2186) + chr(12372 - 12256) + chr(102) + chr(360 - 315) + chr(0b111000)): Zzs55KO_HKfp, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4&'), chr(100) + '\145' + chr(0b1010000 + 0o23) + chr(111) + chr(5843 - 5743) + chr(7191 - 7090))(chr(0b1110101) + chr(0b1100010 + 0o22) + chr(0b1100110) + '\055' + chr(56)): 1e-06, xafqLlk3kkUe(SXOLrMavuUCe(b"\xc1'/\x0c\xd0"), chr(0b100101 + 0o77) + chr(0b1010010 + 0o23) + '\x63' + chr(0b11000 + 0o127) + chr(0b1100100) + chr(4987 - 4886))(chr(10874 - 10757) + chr(116) + chr(0b1010100 + 0o22) + '\x2d' + chr(0b111000)): f4f5me7W619A, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc62(\x04\x8d\x10\x16'), chr(5070 - 4970) + '\145' + '\143' + chr(6861 - 6750) + chr(2018 - 1918) + chr(0b1100101))(chr(4915 - 4798) + '\x74' + chr(0b111011 + 0o53) + chr(0b101101) + chr(0b111000)): Xtig2zAKpR0T})
xafqLlk3kkUe(SkdCawTvuLNj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc22+\x08\x8f\x1b'), '\144' + '\145' + chr(99) + chr(6539 - 6428) + chr(100) + chr(0b1000000 + 0o45))(chr(5956 - 5839) + '\x74' + '\146' + chr(258 - 213) + chr(56)))(OzPvD_Uxl8LC)
a78xd9Im7Kgz = CIVheOt0RKQX.mod.Module(Z3lFmFapIPdL, label_names=[], context=oM3jLo753XfX)
RKPOWrkYGewg = CIVheOt0RKQX.mod.Module(HpvJy01g2Shp, label_names=(xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf#9\x08\x8d'), chr(0b1100100) + chr(101) + chr(3712 - 3613) + chr(10302 - 10191) + chr(0b1100100) + chr(0b100011 + 0o102))('\165' + '\x74' + chr(6693 - 6591) + '\x2d' + chr(0b111000)),), context=oM3jLo753XfX)
gWH1XZrjx9Tu = CIVheOt0RKQX.mod.SequentialModule()
xafqLlk3kkUe(gWH1XZrjx9Tu.add(a78xd9Im7Kgz), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6\x08k\x1c\xd8\x1c?R#\xc3y\xd6'), '\x64' + chr(101) + '\143' + chr(111) + '\144' + chr(101))('\165' + chr(116) + '\146' + chr(45) + '\x38'))(RKPOWrkYGewg, take_labels=ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b110110 + 0o71) + '\x31', 8), auto_wiring=ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49), 8))
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1+5\t'), chr(787 - 687) + chr(101) + '\143' + chr(2614 - 2503) + chr(100) + chr(0b11000 + 0o115))(chr(117) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(0b10111 + 0o41)))(data_shapes=xafqLlk3kkUe(ORSP_0AjRz85, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\x1do\x07\x940\x12\n2\xf5\\\xba'), chr(0b1100100) + chr(101) + chr(0b110000 + 0o63) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(5929 - 5827) + '\x2d' + chr(2384 - 2328))), label_shapes=[(xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf#9\x08\x8d'), chr(0b0 + 0o144) + '\145' + '\x63' + chr(7615 - 7504) + chr(0b1100100) + chr(5598 - 5497))(chr(0b1110101) + chr(0b1000110 + 0o56) + chr(3330 - 3228) + '\x2d' + chr(0b10100 + 0o44)), (ix9dZyeAmUxY,))], inputs_need_grad=ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b101110 + 0o101) + chr(49), 8))
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xca,2\x19\xbe\x0f\x19\x15\x18\xe1X'), '\144' + chr(0b1010001 + 0o24) + chr(99) + chr(11710 - 11599) + '\144' + '\145')(chr(117) + chr(0b110001 + 0o103) + '\x66' + chr(45) + chr(0b111000)))(initializer=xafqLlk3kkUe(CIVheOt0RKQX.init, xafqLlk3kkUe(SXOLrMavuUCe(b'\xed-)\x00\x80\x13'), chr(6184 - 6084) + chr(0b111111 + 0o46) + '\x63' + chr(111) + '\144' + chr(0b1100101))(chr(117) + '\164' + '\x66' + chr(0b101101) + '\070'))(0.02))
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xca,2\x19\xbe\x10\x08\x13\x10\xe1B\x9f\xfaA'), chr(100) + chr(4094 - 3993) + '\143' + chr(0b1101111) + chr(100) + chr(101))('\165' + chr(7982 - 7866) + '\x66' + '\x2d' + '\x38'))(optimizer=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2&:\x00'), chr(0b100 + 0o140) + chr(7562 - 7461) + chr(0b1100011 + 0o0) + chr(111) + chr(100) + chr(0b1100101))('\x75' + chr(0b11010 + 0o132) + '\x66' + chr(577 - 532) + chr(0b111000)), optimizer_params={xafqLlk3kkUe(SXOLrMavuUCe(b"\xcf':\x1f\x8f\x16\x16\x00&\xfeJ\x91\xfa"), '\144' + chr(0b1100101) + chr(2041 - 1942) + chr(8971 - 8860) + chr(100) + chr(0b1100101))('\x75' + '\164' + chr(5656 - 5554) + chr(1782 - 1737) + chr(0b10100 + 0o44)): Zzs55KO_HKfp, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4&'), '\x64' + chr(6993 - 6892) + chr(99) + '\157' + chr(0b1100100) + '\145')('\165' + chr(4454 - 4338) + '\146' + chr(0b101101) + '\x38'): 0.001, xafqLlk3kkUe(SXOLrMavuUCe(b"\xc1'/\x0c\xd0"), chr(142 - 42) + chr(7055 - 6954) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(0b101011 + 0o112) + '\x74' + '\146' + chr(0b101101) + chr(56)): f4f5me7W619A, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc62(\x04\x8d\x10\x16'), chr(100) + chr(0b1111 + 0o126) + '\143' + chr(111) + chr(2157 - 2057) + chr(101))('\x75' + chr(0b1100000 + 0o24) + '\x66' + '\055' + '\070'): Xtig2zAKpR0T, xafqLlk3kkUe(SXOLrMavuUCe(b"\xd1'(\x0e\x80\x13\x1d8\x1e\xfeJ\x81"), chr(100) + chr(101) + chr(0b10010 + 0o121) + chr(0b111000 + 0o67) + '\144' + chr(4851 - 4750))('\165' + '\164' + '\146' + chr(45) + chr(56)): 1.0 / ix9dZyeAmUxY})
xafqLlk3kkUe(SkdCawTvuLNj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc22+\x08\x8f\x1b'), chr(0b1100100) + chr(101) + chr(99) + chr(111) + '\144' + chr(101))(chr(2532 - 2415) + chr(116) + chr(3521 - 3419) + '\x2d' + chr(2531 - 2475)))(gWH1XZrjx9Tu)
WAxInU3ycEm6 = xHRZmH3jsY_B()
La_R_z8KOYUG = CIVheOt0RKQX.mod.Module(symbol=WAxInU3ycEm6, data_names=(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7#/\x0c'), chr(7134 - 7034) + chr(421 - 320) + chr(99) + '\x6f' + '\144' + chr(7714 - 7613))('\x75' + chr(0b1011111 + 0o25) + chr(0b1100110) + '\x2d' + chr(56)),), label_names=(xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf#9\x08\x8d'), chr(0b1100100) + chr(101) + '\143' + chr(9876 - 9765) + '\144' + chr(0b1001000 + 0o35))(chr(0b1011011 + 0o32) + chr(0b111111 + 0o65) + chr(0b1100110) + chr(0b101101) + chr(0b111000 + 0o0)),), context=oM3jLo753XfX)
xafqLlk3kkUe(La_R_z8KOYUG, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1+5\t'), '\144' + '\x65' + chr(99) + chr(3267 - 3156) + chr(0b1100100) + '\x65')(chr(0b1 + 0o164) + '\164' + chr(0b11011 + 0o113) + chr(0b101101) + chr(0b10001 + 0o47)))(data_shapes=[(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7#/\x0c'), '\144' + chr(101) + chr(0b1100011) + '\157' + chr(4851 - 4751) + '\x65')(chr(0b11001 + 0o134) + '\164' + chr(0b1100110) + chr(178 - 133) + chr(2175 - 2119)), (ix9dZyeAmUxY, rLkjDxw78CZ0 * ehT0Px3KOsy9('\x30' + '\157' + chr(1172 - 1120), 50010 - 50002), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + '\064', 8), ehT0Px3KOsy9(chr(48) + chr(0b1000001 + 0o56) + '\x34', 8)))], label_shapes=[(xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf#9\x08\x8d'), '\x64' + chr(101) + chr(99) + chr(0b1101111) + chr(9952 - 9852) + chr(101))(chr(117) + chr(116) + '\x66' + chr(1284 - 1239) + '\x38'), (ix9dZyeAmUxY, rLkjDxw78CZ0 * ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(0b11 + 0o61), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10111 + 0o35), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x34', 8)))], inputs_need_grad=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061', 8))
xafqLlk3kkUe(La_R_z8KOYUG, xafqLlk3kkUe(SXOLrMavuUCe(b'\xca,2\x19\xbe\x0f\x19\x15\x18\xe1X'), chr(0b1100100) + chr(2754 - 2653) + chr(0b1001010 + 0o31) + chr(0b100100 + 0o113) + '\144' + '\x65')(chr(0b111011 + 0o72) + chr(116) + chr(0b1100110) + chr(0b101101) + '\070'))(initializer=xafqLlk3kkUe(CIVheOt0RKQX.init, xafqLlk3kkUe(SXOLrMavuUCe(b'\xed-)\x00\x80\x13'), '\144' + chr(4932 - 4831) + chr(0b1100011) + chr(0b10 + 0o155) + chr(100) + '\x65')(chr(11938 - 11821) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(0b100000 + 0o30)))(0.02))
xafqLlk3kkUe(La_R_z8KOYUG, xafqLlk3kkUe(SXOLrMavuUCe(b'\xca,2\x19\xbe\x10\x08\x13\x10\xe1B\x9f\xfaA'), chr(101 - 1) + '\x65' + '\x63' + '\x6f' + chr(0b1100100) + chr(101))(chr(0b10100 + 0o141) + chr(116) + chr(0b1100110) + chr(0b10101 + 0o30) + chr(56)))(optimizer=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2&:\x00'), '\144' + chr(0b1010010 + 0o23) + chr(2641 - 2542) + chr(0b1101111) + chr(1601 - 1501) + chr(101))(chr(9790 - 9673) + '\x74' + chr(2659 - 2557) + chr(1825 - 1780) + '\x38'), optimizer_params={xafqLlk3kkUe(SXOLrMavuUCe(b"\xcf':\x1f\x8f\x16\x16\x00&\xfeJ\x91\xfa"), chr(0b1011011 + 0o11) + chr(9964 - 9863) + chr(0b11001 + 0o112) + '\x6f' + chr(100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(45) + '\070'): Zzs55KO_HKfp, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4&'), '\144' + chr(0b101100 + 0o71) + chr(0b110111 + 0o54) + chr(0b1101111) + chr(100) + chr(0b101 + 0o140))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(56)): 0.0, xafqLlk3kkUe(SXOLrMavuUCe(b"\xc1'/\x0c\xd0"), '\x64' + chr(3963 - 3862) + '\143' + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(7921 - 7804) + chr(116) + chr(102) + chr(0b101101) + chr(482 - 426)): f4f5me7W619A, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc62(\x04\x8d\x10\x16'), '\x64' + '\145' + '\143' + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(117) + chr(116) + chr(102) + chr(0b11110 + 0o17) + chr(0b111000)): Xtig2zAKpR0T, xafqLlk3kkUe(SXOLrMavuUCe(b"\xd1'(\x0e\x80\x13\x1d8\x1e\xfeJ\x81"), '\144' + '\x65' + chr(0b1100011) + '\157' + chr(0b1100100) + chr(101))(chr(13087 - 12970) + chr(7260 - 7144) + '\146' + chr(0b101101) + chr(56)): 1.0 / ix9dZyeAmUxY})
Obdpf7FAOAbq = zqj7DfMLpiwx()
HK6l4NQetj4l = CIVheOt0RKQX.mod.Module(symbol=Obdpf7FAOAbq, data_names=(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7#/\x0c'), '\x64' + chr(0b1100101) + chr(1777 - 1678) + chr(1239 - 1128) + '\144' + '\x65')('\x75' + chr(6221 - 6105) + '\x66' + chr(0b101100 + 0o1) + '\070'),), label_names=None, context=oM3jLo753XfX)
xafqLlk3kkUe(HK6l4NQetj4l, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1+5\t'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(111) + '\144' + chr(0b101011 + 0o72))(chr(0b1110101) + '\164' + chr(3343 - 3241) + chr(1919 - 1874) + chr(0b111 + 0o61)))(data_shapes=[(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7#/\x0c'), chr(0b1010010 + 0o22) + chr(3026 - 2925) + '\143' + '\157' + '\x64' + '\145')('\x75' + chr(0b110111 + 0o75) + '\x66' + '\x2d' + chr(0b111000)), (ix9dZyeAmUxY * ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010), 8), lYSzSjlBurVZ))], inputs_need_grad=ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001), 8))
xafqLlk3kkUe(HK6l4NQetj4l, xafqLlk3kkUe(SXOLrMavuUCe(b'\xca,2\x19\xbe\x0f\x19\x15\x18\xe1X'), '\x64' + '\145' + '\x63' + chr(111) + chr(0b1100100) + chr(0b1010100 + 0o21))(chr(117) + chr(116) + '\146' + '\055' + chr(0b111000)))(initializer=xafqLlk3kkUe(CIVheOt0RKQX.init, xafqLlk3kkUe(SXOLrMavuUCe(b'\xed-)\x00\x80\x13'), '\144' + chr(9977 - 9876) + '\x63' + '\x6f' + chr(0b110110 + 0o56) + '\145')(chr(117) + chr(7973 - 7857) + '\146' + '\055' + '\x38'))(0.02))
xafqLlk3kkUe(HK6l4NQetj4l, xafqLlk3kkUe(SXOLrMavuUCe(b'\xca,2\x19\xbe\x10\x08\x13\x10\xe1B\x9f\xfaA'), chr(100) + chr(101) + chr(8540 - 8441) + '\157' + chr(7011 - 6911) + '\145')('\165' + chr(0b1110100) + '\x66' + '\x2d' + chr(2705 - 2649)))(optimizer=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2&:\x00'), '\x64' + chr(101) + chr(3618 - 3519) + chr(9489 - 9378) + '\x64' + '\145')('\165' + chr(0b1011100 + 0o30) + chr(0b1100110) + chr(45) + chr(56)), optimizer_params={xafqLlk3kkUe(SXOLrMavuUCe(b"\xcf':\x1f\x8f\x16\x16\x00&\xfeJ\x91\xfa"), chr(1556 - 1456) + '\x65' + chr(6561 - 6462) + chr(0b1101111) + '\144' + chr(0b1100 + 0o131))(chr(3660 - 3543) + chr(1990 - 1874) + chr(7209 - 7107) + chr(45) + chr(0b111000)): Zzs55KO_HKfp, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4&'), chr(6100 - 6000) + chr(0b1100101) + chr(4723 - 4624) + '\x6f' + '\x64' + '\145')(chr(7935 - 7818) + chr(0b100111 + 0o115) + chr(4114 - 4012) + '\055' + chr(56)): 0.0, xafqLlk3kkUe(SXOLrMavuUCe(b"\xc1'/\x0c\xd0"), chr(936 - 836) + chr(0b1100101) + chr(0b1100011) + chr(10210 - 10099) + chr(100) + chr(0b1100101))(chr(2606 - 2489) + '\164' + '\146' + chr(0b101101) + chr(56)): f4f5me7W619A, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc62(\x04\x8d\x10\x16'), chr(0b11101 + 0o107) + '\145' + chr(99) + chr(0b101000 + 0o107) + chr(5963 - 5863) + chr(2689 - 2588))('\165' + chr(0b10101 + 0o137) + '\146' + chr(0b101101) + chr(667 - 611)): Xtig2zAKpR0T, xafqLlk3kkUe(SXOLrMavuUCe(b"\xd1'(\x0e\x80\x13\x1d8\x1e\xfeJ\x81"), chr(4514 - 4414) + chr(101) + chr(5373 - 5274) + '\157' + chr(0b1 + 0o143) + chr(1890 - 1789))(chr(117) + chr(0b0 + 0o164) + chr(0b101101 + 0o71) + chr(0b101101) + chr(1816 - 1760)): 1.0 / ix9dZyeAmUxY})
xafqLlk3kkUe(SkdCawTvuLNj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc22+\x08\x8f\x1b'), chr(100) + chr(0b1001110 + 0o27) + chr(0b1100011) + chr(0b1101111) + chr(0b1001011 + 0o31) + chr(0b1100101))(chr(0b1110101) + chr(0b110111 + 0o75) + chr(102) + chr(0b101101) + chr(0b11001 + 0o37)))(HK6l4NQetj4l)
def BVEPbQ69i40O(pd3lxn9vqWxp):
return xafqLlk3kkUe(CIVheOt0RKQX.nd, xafqLlk3kkUe(SXOLrMavuUCe(b"\xc6\x16\x14\x1a\xae'\n\x04\x12\xddE\x96"), chr(0b1011 + 0o131) + chr(0b1011101 + 0o10) + chr(0b101110 + 0o65) + chr(111) + chr(4991 - 4891) + chr(0b1100101))(chr(0b1000010 + 0o63) + chr(0b1110011 + 0o1) + '\x66' + chr(0b101101) + chr(0b111000)))(pd3lxn9vqWxp) / xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd03)\x19'), '\144' + '\145' + chr(0b1011110 + 0o5) + '\157' + chr(7026 - 6926) + '\145')('\x75' + '\x74' + '\x66' + '\055' + chr(0b111000)))(xafqLlk3kkUe(pd3lxn9vqWxp, xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\x0e8\x0e\xd2=;-\x17\xdd@\x84'), '\144' + chr(0b0 + 0o145) + chr(0b100110 + 0o75) + '\x6f' + chr(0b100111 + 0o75) + chr(0b110 + 0o137))(chr(12869 - 12752) + '\164' + chr(0b1100110) + '\x2d' + '\x38')))
DBjXwuJhP8U3 = CIVheOt0RKQX.mon.Monitor(ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + '\x31' + '\x32', 30128 - 30120), BVEPbQ69i40O, pattern=xafqLlk3kkUe(SXOLrMavuUCe(b'\x8dh4\x18\x95\x0f\r\x13\x05\xe8\x1a\xba\xfdR\xfai\xf7I\xda\xcb\xae\xb6\xb9\x1f\x18'), chr(7739 - 7639) + '\145' + '\143' + chr(0b111110 + 0o61) + chr(0b11011 + 0o111) + '\x65')('\165' + chr(0b111100 + 0o70) + chr(102) + chr(45) + chr(56)), sort=ehT0Px3KOsy9(chr(48) + chr(8619 - 8508) + chr(2090 - 2041), 8))
DBjXwuJhP8U3 = None
if DBjXwuJhP8U3 is not None:
for JHJR37KvkQhF in SkdCawTvuLNj:
pass
def wv8Ugi6Ofcbk(TRUOLFLuD08x, eyamnrN0elUS):
eyamnrN0elUS = eyamnrN0elUS._z3oWn7GMFaN()
TRUOLFLuD08x = TRUOLFLuD08x._z3oWn7GMFaN()
return xafqLlk3kkUe((eyamnrN0elUS > 0.5) == TRUOLFLuD08x, xafqLlk3kkUe(SXOLrMavuUCe(b"\xc2\x083$\x95<'1\x18\xfbG\x92"), chr(100) + '\145' + '\143' + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b1110100) + '\x66' + '\x2d' + chr(56)))()
def POqv_AiZF2sH(TRUOLFLuD08x, eyamnrN0elUS):
eyamnrN0elUS = eyamnrN0elUS._z3oWn7GMFaN()
TRUOLFLuD08x = TRUOLFLuD08x._z3oWn7GMFaN()
return -xafqLlk3kkUe(TRUOLFLuD08x * WqUC3KWvYVup.log(eyamnrN0elUS + 1e-12) + (1.0 - TRUOLFLuD08x) * WqUC3KWvYVup.log(1.0 - eyamnrN0elUS + 1e-12), xafqLlk3kkUe(SXOLrMavuUCe(b"\xc2\x083$\x95<'1\x18\xfbG\x92"), '\144' + chr(101) + chr(8855 - 8756) + '\157' + '\144' + chr(0b1100101))(chr(117) + chr(8121 - 8005) + '\x66' + chr(1648 - 1603) + chr(56)))()
def E3Awmn8MCmdY(TRUOLFLuD08x, eyamnrN0elUS):
(aJhItC_Vawlw, WqKppA7hSdD1) = WqUC3KWvYVup.split(eyamnrN0elUS, ehT0Px3KOsy9(chr(124 - 76) + '\x6f' + '\x32', 8), axis=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(983 - 935), ord("\x08")))
l38lb8xQZNsE = WqUC3KWvYVup.exp(WqKppA7hSdD1)
flshRBjZF7Z_ = -0.5 * WqUC3KWvYVup.xkxBmo49x2An(ehT0Px3KOsy9(chr(450 - 402) + chr(0b101101 + 0o102) + chr(0b110001), 8) + WqKppA7hSdD1 - WqUC3KWvYVup.power(aJhItC_Vawlw, ehT0Px3KOsy9('\060' + '\157' + chr(0b100 + 0o56), 8)) - l38lb8xQZNsE)
flshRBjZF7Z_ = flshRBjZF7Z_ / j46o97fAWInD
return flshRBjZF7Z_
z1z1essZump_ = CIVheOt0RKQX.metric.CustomMetric(POqv_AiZF2sH)
MLmXpZZ5mCqm = CIVheOt0RKQX.metric.CustomMetric(POqv_AiZF2sH)
YzwIrntvhJ_u = CIVheOt0RKQX.metric.CustomMetric(E3Awmn8MCmdY)
sNE7GQYeewwp = CIVheOt0RKQX.metric.CustomMetric(wv8Ugi6Ofcbk)
zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf70:\x04\x8f\x16\x16\x00W\xa2\x05'), chr(0b1100100) + chr(111 - 10) + chr(0b1010011 + 0o20) + chr(0b1101111) + chr(586 - 486) + '\145')('\x75' + chr(2011 - 1895) + chr(0b1000101 + 0o41) + '\x2d' + chr(56)))
aw_cqOcSMDBM = zKdiQFzuryNR.now().strftime(xafqLlk3kkUe(SXOLrMavuUCe(b'\x86\x1b\x04H\x8c ]\x03T\xa9c\xba\xba~'), chr(0b1100100) + chr(4645 - 4544) + '\143' + '\157' + chr(754 - 654) + '\x65')(chr(0b1110101) + chr(0b101011 + 0o111) + chr(0b1011000 + 0o16) + chr(0b101001 + 0o4) + '\x38'))
for LWTVW06OsTjl in vQr8gNKaIaWE(FFScKvII7NXg):
xafqLlk3kkUe(ORSP_0AjRz85, xafqLlk3kkUe(SXOLrMavuUCe(b"\xd1'(\x08\x95"), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(6540 - 6440) + chr(0b1100101))(chr(8770 - 8653) + chr(0b1011011 + 0o31) + '\x66' + '\x2d' + chr(1247 - 1191)))()
for (YeT3l7JgTbWR, dNwAahu8tvoY) in YlkZvXL8qwsX(ORSP_0AjRz85):
nqlaXxVm5nIK = C2OmfCiyoO8b.nSwwHEeM4cxI()
if DBjXwuJhP8U3 is not None:
xafqLlk3kkUe(DBjXwuJhP8U3, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7+8'), '\x64' + chr(101) + '\143' + chr(111) + chr(7889 - 7789) + '\145')(chr(117) + '\164' + chr(102) + '\x2d' + '\x38'))()
xafqLlk3kkUe(OzPvD_Uxl8LC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), chr(0b100110 + 0o76) + chr(0b1100011 + 0o2) + chr(99) + '\157' + chr(100) + chr(9270 - 9169))('\165' + chr(0b10101 + 0o137) + '\146' + '\055' + chr(734 - 678)))(nqlaXxVm5nIK, is_train=ehT0Px3KOsy9(chr(48) + chr(11111 - 11000) + chr(0b11100 + 0o25), 8))
RkFDbaYNfrvk = OzPvD_Uxl8LC.get_outputs()
TRUOLFLuD08x[:] = ehT0Px3KOsy9(chr(630 - 582) + chr(0b1101111) + chr(0b110000), 8)
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), '\x64' + chr(3558 - 3457) + chr(99) + chr(111) + chr(5334 - 5234) + '\x65')(chr(0b1110101) + '\x74' + chr(1280 - 1178) + '\x2d' + '\070'))(xafqLlk3kkUe(CIVheOt0RKQX.io, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7#/\x0c\xa3\x1e\x0c\x04\x11'), chr(100) + chr(5062 - 4961) + chr(0b1100011) + chr(111) + chr(7572 - 7472) + '\145')(chr(117) + chr(2289 - 2173) + '\146' + chr(1053 - 1008) + '\070'))(RkFDbaYNfrvk, [TRUOLFLuD08x]), is_train=ehT0Px3KOsy9('\060' + '\157' + '\x31', 8))
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1#8\x06\x96\x1e\n\x03'), chr(320 - 220) + '\x65' + '\x63' + '\157' + '\x64' + chr(0b1100101))(chr(0b1100111 + 0o16) + '\164' + '\146' + chr(0b101101) + chr(0b11010 + 0o36)))()
kXP3kUa4Rm8N = [[RF_2NucJiY7o.copyto(RF_2NucJiY7o.context) for RF_2NucJiY7o in W1s0NiRRDIwA] for W1s0NiRRDIwA in a78xd9Im7Kgz._exec_group._ffNipEkE2UF]
Qi0yV0EUntVi = [[RF_2NucJiY7o.copyto(RF_2NucJiY7o.context) for RF_2NucJiY7o in W1s0NiRRDIwA] for W1s0NiRRDIwA in RKPOWrkYGewg._exec_group._ffNipEkE2UF]
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b"\xd62?\x0c\x95\x1a'\n\x1c\xf8Y\x8c\xfc"), chr(100) + chr(101) + '\x63' + '\157' + chr(4289 - 4189) + '\x65')(chr(0b1000010 + 0o63) + chr(116) + chr(2343 - 2241) + chr(0b11011 + 0o22) + '\x38'))(MLmXpZZ5mCqm, [TRUOLFLuD08x])
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b"\xd62?\x0c\x95\x1a'\n\x1c\xf8Y\x8c\xfc"), '\144' + chr(0b1010101 + 0o20) + chr(0b1100011) + chr(2612 - 2501) + chr(100) + '\145')(chr(0b1000 + 0o155) + chr(0b1110100) + '\146' + chr(0b101101) + chr(56)))(sNE7GQYeewwp, [TRUOLFLuD08x])
xafqLlk3kkUe(tnY4H_9Kt0yv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), '\144' + chr(101) + chr(0b1100011) + '\x6f' + '\144' + '\145')(chr(117) + '\164' + chr(0b10001 + 0o125) + '\055' + '\070'))(dNwAahu8tvoY, is_train=ehT0Px3KOsy9(chr(709 - 661) + '\x6f' + chr(0b110001), 8))
(hOLPUi_G8xuS, OjVUlbaH0xgg, AFGBo4BePxZi) = tnY4H_9Kt0yv.get_outputs()
AFGBo4BePxZi = AFGBo4BePxZi.reshape((ix9dZyeAmUxY, lYSzSjlBurVZ, ehT0Px3KOsy9(chr(1208 - 1160) + '\x6f' + chr(1343 - 1294), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101010 + 0o7), 8)))
aBu4gMMQp6Jg = CIVheOt0RKQX.io.DataBatch([AFGBo4BePxZi], label=None, provide_data=[(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1#5\t'), chr(759 - 659) + '\145' + chr(0b1100011) + chr(111) + chr(8057 - 7957) + chr(101))(chr(0b1110101) + chr(116) + '\x66' + '\x2d' + chr(2583 - 2527)), (ix9dZyeAmUxY, lYSzSjlBurVZ, ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061', 8), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(10944 - 10833) + chr(427 - 378), 8)))])
xafqLlk3kkUe(OzPvD_Uxl8LC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), chr(0b10110 + 0o116) + chr(0b111101 + 0o50) + chr(5429 - 5330) + '\x6f' + chr(0b1100100) + chr(0b111101 + 0o50))(chr(0b110101 + 0o100) + chr(0b1001010 + 0o52) + chr(102) + '\055' + chr(0b111000)))(aBu4gMMQp6Jg, is_train=ehT0Px3KOsy9(chr(923 - 875) + chr(111) + chr(624 - 575), 8))
oFJG1L823vlN = OzPvD_Uxl8LC.get_outputs()
TRUOLFLuD08x[:] = ehT0Px3KOsy9('\x30' + chr(0b1010000 + 0o37) + chr(0b110000), 8)
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), chr(0b100001 + 0o103) + '\145' + chr(99) + '\x6f' + chr(2702 - 2602) + chr(0b1100101))('\165' + '\164' + chr(10021 - 9919) + '\x2d' + '\x38'))(xafqLlk3kkUe(CIVheOt0RKQX.io, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7#/\x0c\xa3\x1e\x0c\x04\x11'), chr(0b1000100 + 0o40) + '\145' + chr(4189 - 4090) + chr(0b1101111) + chr(100) + chr(101))(chr(117) + chr(0b101 + 0o157) + chr(0b101000 + 0o76) + '\x2d' + chr(329 - 273)))(oFJG1L823vlN, [TRUOLFLuD08x]), is_train=ehT0Px3KOsy9('\x30' + chr(0b111001 + 0o66) + chr(49), 8))
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1#8\x06\x96\x1e\n\x03'), chr(0b110101 + 0o57) + chr(0b1100011 + 0o2) + chr(99) + chr(0b10101 + 0o132) + '\144' + chr(0b1001000 + 0o35))('\x75' + chr(0b1110100) + chr(102) + chr(98 - 53) + chr(0b111000)))()
R9HfKUKB1CcM = [[RF_2NucJiY7o.copyto(RF_2NucJiY7o.context) for RF_2NucJiY7o in W1s0NiRRDIwA] for W1s0NiRRDIwA in a78xd9Im7Kgz._exec_group._ffNipEkE2UF]
QGj8HvZJCJqC = [[RF_2NucJiY7o.copyto(RF_2NucJiY7o.context) for RF_2NucJiY7o in W1s0NiRRDIwA] for W1s0NiRRDIwA in RKPOWrkYGewg._exec_group._ffNipEkE2UF]
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b"\xd62?\x0c\x95\x1a'\n\x1c\xf8Y\x8c\xfc"), '\x64' + '\145' + '\143' + chr(0b1101111) + chr(100) + chr(0b1010101 + 0o20))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(1142 - 1097) + '\070'))(MLmXpZZ5mCqm, [TRUOLFLuD08x])
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b"\xd62?\x0c\x95\x1a'\n\x1c\xf8Y\x8c\xfc"), '\x64' + chr(101) + chr(99) + chr(3382 - 3271) + chr(100) + chr(101))('\165' + chr(0b1110100 + 0o0) + chr(102) + '\055' + chr(0b111000)))(sNE7GQYeewwp, [TRUOLFLuD08x])
TRUOLFLuD08x[:] = ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(9906 - 9795) + chr(0b10001 + 0o40), 8)
dNwAahu8tvoY.TRUOLFLuD08x = [TRUOLFLuD08x]
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), chr(2759 - 2659) + chr(0b1100101) + chr(0b100111 + 0o74) + '\x6f' + '\x64' + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(45) + chr(56)))(dNwAahu8tvoY, is_train=ehT0Px3KOsy9('\x30' + '\x6f' + chr(49), 8))
GQ4Wyhnb1BTX = [UkrMp_I0RDmo.copyto(UkrMp_I0RDmo.context) for UkrMp_I0RDmo in a78xd9Im7Kgz.get_outputs()]
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1#8\x06\x96\x1e\n\x03'), chr(1118 - 1018) + chr(0b1000 + 0o135) + '\143' + '\x6f' + chr(100) + '\145')(chr(117) + chr(0b1010100 + 0o40) + chr(0b1100110) + chr(0b100010 + 0o13) + '\x38'))()
for (RU_pT9xHUVlC, oORui4I21mhi, v3Pgs5LvTFA5) in pZ0NK2y6HRbn(xafqLlk3kkUe(a78xd9Im7Kgz._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc$=#\x88\x0f=\x0c<\xbe~\xa3'), chr(100) + chr(0b10 + 0o143) + chr(0b1100011) + '\157' + chr(100) + '\x65')(chr(0b1101000 + 0o15) + chr(116) + chr(0b1100110) + '\055' + chr(56))), kXP3kUa4Rm8N, R9HfKUKB1CcM):
for (FUQamaLiwoxV, OFgoR76U8RWw, AMmPdyVOZbzF) in pZ0NK2y6HRbn(RU_pT9xHUVlC, oORui4I21mhi, v3Pgs5LvTFA5):
FUQamaLiwoxV += 0.5 * (OFgoR76U8RWw + AMmPdyVOZbzF)
for (RU_pT9xHUVlC, oORui4I21mhi, v3Pgs5LvTFA5) in pZ0NK2y6HRbn(xafqLlk3kkUe(RKPOWrkYGewg._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc$=#\x88\x0f=\x0c<\xbe~\xa3'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(0b100010 + 0o115) + chr(9016 - 8916) + '\x65')(chr(0b1110101) + chr(7837 - 7721) + chr(0b1100110) + chr(45) + '\x38')), Qi0yV0EUntVi, QGj8HvZJCJqC):
for (FUQamaLiwoxV, OFgoR76U8RWw, AMmPdyVOZbzF) in pZ0NK2y6HRbn(RU_pT9xHUVlC, oORui4I21mhi, v3Pgs5LvTFA5):
FUQamaLiwoxV += 0.5 * (OFgoR76U8RWw + AMmPdyVOZbzF)
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf96\x1a(\x8812\t\x00\xb8N\xd5'), chr(0b1100100) + chr(0b1100101) + chr(0b1001001 + 0o32) + chr(0b1011100 + 0o23) + chr(100) + chr(101))(chr(0b10011 + 0o142) + chr(0b1010110 + 0o36) + '\146' + chr(45) + chr(2640 - 2584)))()
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b"\xd62?\x0c\x95\x1a'\n\x1c\xf8Y\x8c\xfc"), chr(100) + chr(0b1100101) + chr(0b101 + 0o136) + '\x6f' + chr(0b1111 + 0o125) + '\x65')(chr(5688 - 5571) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(0b110001 + 0o7)))(MLmXpZZ5mCqm, [TRUOLFLuD08x])
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b"\xd62?\x0c\x95\x1a'\n\x1c\xf8Y\x8c\xfc"), chr(0b1100100) + chr(0b101100 + 0o71) + chr(99) + '\157' + chr(0b1100100) + chr(0b1100101))('\165' + chr(0b1101110 + 0o6) + '\x66' + chr(45) + '\x38'))(sNE7GQYeewwp, [TRUOLFLuD08x])
xafqLlk3kkUe(OzPvD_Uxl8LC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), chr(573 - 473) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(0b1100101))('\165' + '\164' + chr(0b111000 + 0o56) + chr(0b101101) + chr(56)))(nqlaXxVm5nIK, is_train=ehT0Px3KOsy9('\060' + chr(298 - 187) + chr(49), 8))
RkFDbaYNfrvk = OzPvD_Uxl8LC.get_outputs()
TRUOLFLuD08x[:] = ehT0Px3KOsy9(chr(0b110000) + chr(847 - 736) + chr(49), 8)
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), chr(0b111100 + 0o50) + chr(5504 - 5403) + chr(6977 - 6878) + chr(0b1101111) + chr(1440 - 1340) + chr(101))(chr(13106 - 12989) + chr(8105 - 7989) + '\x66' + chr(0b101101) + chr(0b110010 + 0o6)))(xafqLlk3kkUe(CIVheOt0RKQX.io, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7#/\x0c\xa3\x1e\x0c\x04\x11'), chr(0b111110 + 0o46) + chr(0b1100101) + '\x63' + chr(111) + chr(3322 - 3222) + '\145')(chr(0b1110000 + 0o5) + chr(0b1110100) + chr(822 - 720) + chr(45) + chr(56)))(RkFDbaYNfrvk, [TRUOLFLuD08x]), is_train=ehT0Px3KOsy9(chr(787 - 739) + chr(8042 - 7931) + '\061', 8))
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1#8\x06\x96\x1e\n\x03'), '\x64' + chr(0b1001110 + 0o27) + chr(857 - 758) + '\157' + '\144' + '\x65')(chr(117) + '\x74' + '\146' + chr(849 - 804) + chr(56)))()
NZJmpTj4ksIn = a78xd9Im7Kgz.get_input_grads()
xafqLlk3kkUe(OzPvD_Uxl8LC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1#8\x06\x96\x1e\n\x03'), chr(0b11001 + 0o113) + chr(0b1010011 + 0o22) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(0b100001 + 0o104))('\165' + chr(0b111010 + 0o72) + chr(3863 - 3761) + chr(45) + chr(56)))(NZJmpTj4ksIn)
pqbHWsnB1Kss = [[RF_2NucJiY7o.copyto(RF_2NucJiY7o.context) for RF_2NucJiY7o in W1s0NiRRDIwA] for W1s0NiRRDIwA in OzPvD_Uxl8LC._exec_group._ffNipEkE2UF]
xafqLlk3kkUe(z1z1essZump_, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf96\x1a(\x8812\t\x00\xb8N\xd5'), chr(100) + '\x65' + chr(0b1011 + 0o130) + '\157' + chr(100) + chr(101))('\165' + chr(116) + '\146' + chr(0b101101) + '\070'))([TRUOLFLuD08x], xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b"\xc4'/2\x8e\n\x0c\x17\x0c\xf8X"), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(111) + '\144' + chr(101))(chr(5796 - 5679) + '\164' + chr(2019 - 1917) + chr(45) + '\x38'))())
xafqLlk3kkUe(OzPvD_Uxl8LC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), chr(0b1100100) + chr(101) + chr(99) + chr(5626 - 5515) + chr(0b1100100) + '\x65')(chr(117) + chr(0b10101 + 0o137) + chr(5551 - 5449) + '\055' + '\070'))(aBu4gMMQp6Jg, is_train=ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100110 + 0o13), 8))
oFJG1L823vlN = OzPvD_Uxl8LC.get_outputs()
TRUOLFLuD08x[:] = ehT0Px3KOsy9(chr(825 - 777) + chr(0b1101111) + '\x31', 8)
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), chr(0b1100100) + chr(0b1000111 + 0o36) + chr(229 - 130) + chr(0b1100 + 0o143) + '\144' + chr(0b111 + 0o136))(chr(0b1010010 + 0o43) + chr(9928 - 9812) + chr(102) + '\055' + chr(56)))(xafqLlk3kkUe(CIVheOt0RKQX.io, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7#/\x0c\xa3\x1e\x0c\x04\x11'), chr(8830 - 8730) + chr(4768 - 4667) + chr(0b1100011) + chr(2794 - 2683) + chr(100) + chr(0b1100000 + 0o5))(chr(117) + chr(0b1110100) + '\146' + '\055' + chr(0b111000)))(oFJG1L823vlN, [TRUOLFLuD08x]), is_train=ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(0b110001), 8))
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1#8\x06\x96\x1e\n\x03'), chr(878 - 778) + '\x65' + chr(9625 - 9526) + chr(0b1101111) + '\144' + chr(0b1100101))('\x75' + chr(7560 - 7444) + chr(102) + '\x2d' + chr(0b111000)))()
NZJmpTj4ksIn = a78xd9Im7Kgz.get_input_grads()
xafqLlk3kkUe(OzPvD_Uxl8LC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1#8\x06\x96\x1e\n\x03'), '\144' + chr(2503 - 2402) + chr(99) + chr(111) + chr(100) + '\145')(chr(0b1110101) + chr(0b1010111 + 0o35) + '\x66' + '\055' + chr(56)))(NZJmpTj4ksIn)
XpBDnjYARoq1 = [[RF_2NucJiY7o.copyto(RF_2NucJiY7o.context) for RF_2NucJiY7o in W1s0NiRRDIwA] for W1s0NiRRDIwA in OzPvD_Uxl8LC._exec_group._ffNipEkE2UF]
xafqLlk3kkUe(z1z1essZump_, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf96\x1a(\x8812\t\x00\xb8N\xd5'), '\x64' + '\x65' + chr(0b1011 + 0o130) + chr(4149 - 4038) + chr(0b1100100) + chr(9447 - 9346))('\x75' + chr(116) + chr(102) + chr(0b101 + 0o50) + '\x38'))([TRUOLFLuD08x], xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b"\xc4'/2\x8e\n\x0c\x17\x0c\xf8X"), chr(100) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(7019 - 6919) + '\145')('\x75' + '\164' + chr(102) + chr(0b101101) + chr(0b100001 + 0o27)))())
xafqLlk3kkUe(OzPvD_Uxl8LC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), '\144' + '\145' + chr(0b1011110 + 0o5) + '\x6f' + chr(0b1100100) + '\x65')('\165' + chr(7574 - 7458) + '\x66' + '\x2d' + chr(56)))(aBu4gMMQp6Jg, is_train=ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001), 8))
oFJG1L823vlN = OzPvD_Uxl8LC.get_outputs()
xafqLlk3kkUe(a78xd9Im7Kgz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), chr(0b111 + 0o135) + '\x65' + chr(0b1100011) + chr(5149 - 5038) + chr(2067 - 1967) + chr(0b1100101))(chr(2998 - 2881) + chr(3755 - 3639) + chr(0b1100110) + chr(840 - 795) + chr(0b111000)))(xafqLlk3kkUe(CIVheOt0RKQX.io, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7#/\x0c\xa3\x1e\x0c\x04\x11'), chr(100) + chr(0b1100101) + chr(99) + chr(111) + chr(0b1100100) + chr(0b101000 + 0o75))(chr(0b1110101) + chr(0b1101101 + 0o7) + chr(0b1100110) + chr(161 - 116) + '\070'))(oFJG1L823vlN, []), is_train=ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(12002 - 11891) + chr(0b10010 + 0o37), 8))
Xjx4NOmj28He = a78xd9Im7Kgz.get_outputs()
xafqLlk3kkUe(La_R_z8KOYUG, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), chr(3350 - 3250) + chr(101) + chr(99) + '\157' + chr(100) + chr(101))(chr(117) + '\x74' + '\x66' + chr(0b101101) + chr(0b10 + 0o66)))(xafqLlk3kkUe(CIVheOt0RKQX.io, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7#/\x0c\xa3\x1e\x0c\x04\x11'), chr(1537 - 1437) + chr(101) + chr(1026 - 927) + '\x6f' + chr(0b1100100) + '\145')('\x75' + chr(0b10001 + 0o143) + '\x66' + chr(1750 - 1705) + '\x38'))(Xjx4NOmj28He, GQ4Wyhnb1BTX), is_train=ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1448 - 1399), 8))
xafqLlk3kkUe(La_R_z8KOYUG, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1#8\x06\x96\x1e\n\x03'), chr(8694 - 8594) + chr(101) + chr(0b1100011) + chr(0b1010 + 0o145) + chr(100) + chr(0b1100101))(chr(0b1101010 + 0o13) + '\164' + chr(0b1100110) + chr(45) + chr(1492 - 1436)))()
rONi9chbutEt = La_R_z8KOYUG.get_input_grads()
xafqLlk3kkUe(a78xd9Im7Kgz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1#8\x06\x96\x1e\n\x03'), chr(0b1100100) + '\x65' + chr(99) + chr(4651 - 4540) + '\144' + chr(0b110011 + 0o62))(chr(0b1110101) + '\x74' + '\x66' + chr(806 - 761) + chr(2054 - 1998)))(rONi9chbutEt)
NZJmpTj4ksIn = a78xd9Im7Kgz.get_input_grads()
xafqLlk3kkUe(OzPvD_Uxl8LC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1#8\x06\x96\x1e\n\x03'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(100) + '\145')(chr(8702 - 8585) + '\164' + '\146' + chr(45) + chr(0b110011 + 0o5)))(NZJmpTj4ksIn)
for (W1s0NiRRDIwA, Xj9Dn0XMnyM4, qL5g_Y9QrbPJ) in pZ0NK2y6HRbn(xafqLlk3kkUe(OzPvD_Uxl8LC._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc$=#\x88\x0f=\x0c<\xbe~\xa3'), chr(7123 - 7023) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(1331 - 1231) + '\x65')('\165' + '\x74' + chr(0b100001 + 0o105) + '\055' + '\x38')), pqbHWsnB1Kss, XpBDnjYARoq1):
for (RF_2NucJiY7o, ElKQZxsdzppZ, Q2rrzV0UuLUi) in pZ0NK2y6HRbn(W1s0NiRRDIwA, Xj9Dn0XMnyM4, qL5g_Y9QrbPJ):
RF_2NucJiY7o = bKjqDcVeoR8T * RF_2NucJiY7o + 0.5 * (ElKQZxsdzppZ + Q2rrzV0UuLUi)
xafqLlk3kkUe(OzPvD_Uxl8LC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf96\x1a(\x8812\t\x00\xb8N\xd5'), chr(0b1010001 + 0o23) + '\145' + '\x63' + chr(0b1101111) + chr(100) + chr(4536 - 4435))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(1580 - 1535) + chr(56)))()
xafqLlk3kkUe(z1z1essZump_, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf96\x1a(\x8812\t\x00\xb8N\xd5'), chr(2534 - 2434) + chr(0b100001 + 0o104) + chr(0b100011 + 0o100) + chr(111) + chr(8904 - 8804) + chr(0b1010010 + 0o23))('\x75' + chr(0b1000100 + 0o60) + '\146' + chr(0b11001 + 0o24) + '\x38'))([TRUOLFLuD08x], xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b"\xc4'/2\x8e\n\x0c\x17\x0c\xf8X"), chr(100) + chr(0b1100101) + chr(99) + chr(0b1101001 + 0o6) + '\144' + '\145')(chr(117) + chr(0b1110100) + '\x66' + chr(45) + chr(0b110000 + 0o10)))())
xafqLlk3kkUe(OzPvD_Uxl8LC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), chr(100) + chr(101) + chr(99) + chr(0b1011111 + 0o20) + '\x64' + chr(6553 - 6452))(chr(0b1110101) + chr(4584 - 4468) + chr(0b1100110) + '\x2d' + chr(56)))(nqlaXxVm5nIK, is_train=ehT0Px3KOsy9('\060' + chr(6074 - 5963) + chr(0b10001 + 0o40), 8))
RkFDbaYNfrvk = OzPvD_Uxl8LC.get_outputs()
TRUOLFLuD08x[:] = ehT0Px3KOsy9(chr(197 - 149) + chr(0b1101111) + chr(49), 8)
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), chr(1545 - 1445) + '\145' + chr(99) + chr(10616 - 10505) + chr(100) + chr(0b110011 + 0o62))('\x75' + chr(1433 - 1317) + chr(0b11 + 0o143) + chr(45) + chr(0b101111 + 0o11)))(xafqLlk3kkUe(CIVheOt0RKQX.io, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7#/\x0c\xa3\x1e\x0c\x04\x11'), chr(100) + '\x65' + '\143' + '\157' + '\x64' + chr(101))(chr(8479 - 8362) + chr(116) + '\x66' + '\x2d' + chr(56)))(RkFDbaYNfrvk, [TRUOLFLuD08x]), is_train=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49), 8))
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1#8\x06\x96\x1e\n\x03'), chr(0b1100100) + chr(0b10000 + 0o125) + chr(0b1100011) + chr(111) + '\x64' + chr(0b1100101))(chr(0b10011 + 0o142) + chr(0b1110100) + chr(4546 - 4444) + '\x2d' + '\070'))()
NZJmpTj4ksIn = a78xd9Im7Kgz.get_input_grads()
xafqLlk3kkUe(OzPvD_Uxl8LC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1#8\x06\x96\x1e\n\x03'), chr(0b111100 + 0o50) + '\x65' + chr(99) + '\157' + chr(9413 - 9313) + chr(0b1110 + 0o127))('\165' + chr(0b1110100) + '\x66' + '\x2d' + chr(0b110110 + 0o2)))(NZJmpTj4ksIn)
pqbHWsnB1Kss = [[RF_2NucJiY7o.copyto(RF_2NucJiY7o.context) for RF_2NucJiY7o in W1s0NiRRDIwA] for W1s0NiRRDIwA in OzPvD_Uxl8LC._exec_group._ffNipEkE2UF]
xafqLlk3kkUe(z1z1essZump_, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf96\x1a(\x8812\t\x00\xb8N\xd5'), chr(0b1100100) + chr(101) + chr(99) + chr(0b111 + 0o150) + '\x64' + chr(3314 - 3213))(chr(117) + chr(0b1110100) + chr(102) + chr(0b101101) + '\x38'))([TRUOLFLuD08x], xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b"\xc4'/2\x8e\n\x0c\x17\x0c\xf8X"), '\x64' + chr(0b11001 + 0o114) + chr(5153 - 5054) + chr(0b1101111) + chr(8384 - 8284) + chr(0b1100101))(chr(12177 - 12060) + chr(116) + '\146' + '\x2d' + chr(0b111000)))())
xafqLlk3kkUe(OzPvD_Uxl8LC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), chr(100) + '\x65' + chr(0b1100011 + 0o0) + chr(0b1101111) + chr(100) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(0b111000)))(aBu4gMMQp6Jg, is_train=ehT0Px3KOsy9(chr(606 - 558) + chr(12233 - 12122) + chr(2245 - 2196), 8))
oFJG1L823vlN = OzPvD_Uxl8LC.get_outputs()
TRUOLFLuD08x[:] = ehT0Px3KOsy9('\x30' + chr(6265 - 6154) + chr(49), 8)
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), chr(100) + chr(0b1001 + 0o134) + '\x63' + chr(7832 - 7721) + chr(0b110101 + 0o57) + '\145')(chr(6174 - 6057) + chr(0b1010 + 0o152) + chr(0b1100110) + '\055' + '\x38'))(xafqLlk3kkUe(CIVheOt0RKQX.io, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7#/\x0c\xa3\x1e\x0c\x04\x11'), chr(0b1100100) + '\x65' + '\x63' + chr(111) + chr(7164 - 7064) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(2753 - 2651) + '\x2d' + chr(56)))(oFJG1L823vlN, [TRUOLFLuD08x]), is_train=ehT0Px3KOsy9(chr(48) + chr(111) + '\061', 8))
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1#8\x06\x96\x1e\n\x03'), '\x64' + chr(7949 - 7848) + chr(7467 - 7368) + chr(3345 - 3234) + chr(100) + chr(0b1100101))(chr(5194 - 5077) + chr(4907 - 4791) + chr(7603 - 7501) + chr(0b101000 + 0o5) + '\x38'))()
NZJmpTj4ksIn = a78xd9Im7Kgz.get_input_grads()
xafqLlk3kkUe(OzPvD_Uxl8LC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1#8\x06\x96\x1e\n\x03'), chr(0b1100100) + chr(0b1100101) + '\x63' + '\x6f' + '\x64' + chr(0b1100101))('\x75' + chr(0b1100011 + 0o21) + '\x66' + '\055' + chr(2263 - 2207)))(NZJmpTj4ksIn)
XpBDnjYARoq1 = [[RF_2NucJiY7o.copyto(RF_2NucJiY7o.context) for RF_2NucJiY7o in W1s0NiRRDIwA] for W1s0NiRRDIwA in OzPvD_Uxl8LC._exec_group._ffNipEkE2UF]
xafqLlk3kkUe(z1z1essZump_, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf96\x1a(\x8812\t\x00\xb8N\xd5'), chr(5459 - 5359) + chr(101) + chr(1707 - 1608) + '\x6f' + '\x64' + '\x65')(chr(0b1110101) + '\164' + chr(0b10000 + 0o126) + chr(45) + chr(56)))([TRUOLFLuD08x], xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b"\xc4'/2\x8e\n\x0c\x17\x0c\xf8X"), '\x64' + chr(6939 - 6838) + chr(0b110100 + 0o57) + chr(7816 - 7705) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(11963 - 11847) + chr(0b1001110 + 0o30) + chr(45) + chr(0b111000)))())
xafqLlk3kkUe(OzPvD_Uxl8LC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), '\144' + '\x65' + chr(0b1100011) + chr(9283 - 9172) + '\x64' + chr(101))('\x75' + chr(10426 - 10310) + '\146' + chr(1714 - 1669) + '\070'))(aBu4gMMQp6Jg, is_train=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31', 8))
oFJG1L823vlN = OzPvD_Uxl8LC.get_outputs()
xafqLlk3kkUe(a78xd9Im7Kgz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), '\x64' + '\x65' + chr(6315 - 6216) + '\x6f' + chr(0b100000 + 0o104) + chr(101))(chr(117) + chr(7741 - 7625) + chr(102) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(CIVheOt0RKQX.io, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7#/\x0c\xa3\x1e\x0c\x04\x11'), chr(0b1100100) + '\x65' + chr(99) + chr(0b1101111) + chr(0b111111 + 0o45) + chr(949 - 848))('\165' + chr(0b1110100) + chr(0b111 + 0o137) + chr(0b11100 + 0o21) + '\070'))(oFJG1L823vlN, []), is_train=ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + '\x31', 8))
Xjx4NOmj28He = a78xd9Im7Kgz.get_outputs()
xafqLlk3kkUe(La_R_z8KOYUG, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), chr(0b1000010 + 0o42) + '\145' + chr(3368 - 3269) + '\157' + chr(0b1110 + 0o126) + chr(0b1100101))(chr(117) + chr(116) + chr(102) + chr(45) + '\070'))(xafqLlk3kkUe(CIVheOt0RKQX.io, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7#/\x0c\xa3\x1e\x0c\x04\x11'), chr(100) + '\145' + '\143' + '\157' + chr(9223 - 9123) + chr(4610 - 4509))(chr(0b1110101) + chr(12592 - 12476) + '\x66' + '\055' + chr(0b101010 + 0o16)))(Xjx4NOmj28He, GQ4Wyhnb1BTX), is_train=ehT0Px3KOsy9(chr(48) + chr(111) + chr(1693 - 1644), 8))
xafqLlk3kkUe(La_R_z8KOYUG, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1#8\x06\x96\x1e\n\x03'), chr(2354 - 2254) + chr(0b10000 + 0o125) + chr(0b101010 + 0o71) + chr(0b1101111) + chr(0b1000110 + 0o36) + '\145')(chr(4078 - 3961) + chr(0b1110100) + chr(0b1100110) + chr(1815 - 1770) + '\x38'))()
rONi9chbutEt = La_R_z8KOYUG.get_input_grads()
xafqLlk3kkUe(a78xd9Im7Kgz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1#8\x06\x96\x1e\n\x03'), chr(0b10 + 0o142) + chr(367 - 266) + chr(9523 - 9424) + '\x6f' + '\144' + chr(421 - 320))('\165' + '\x74' + chr(8845 - 8743) + '\x2d' + chr(56)))(rONi9chbutEt)
NZJmpTj4ksIn = a78xd9Im7Kgz.get_input_grads()
xafqLlk3kkUe(OzPvD_Uxl8LC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1#8\x06\x96\x1e\n\x03'), chr(0b1100100) + chr(10009 - 9908) + chr(0b111111 + 0o44) + chr(0b11010 + 0o125) + chr(100) + chr(0b1011011 + 0o12))(chr(117) + chr(0b1110100) + '\146' + '\x2d' + chr(945 - 889)))(NZJmpTj4ksIn)
for (W1s0NiRRDIwA, Xj9Dn0XMnyM4, qL5g_Y9QrbPJ) in pZ0NK2y6HRbn(xafqLlk3kkUe(OzPvD_Uxl8LC._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc$=#\x88\x0f=\x0c<\xbe~\xa3'), '\144' + chr(101) + chr(0b100000 + 0o103) + '\157' + chr(100) + '\x65')(chr(0b1110101) + '\164' + '\x66' + chr(1729 - 1684) + chr(0b111000))), pqbHWsnB1Kss, XpBDnjYARoq1):
for (RF_2NucJiY7o, ElKQZxsdzppZ, Q2rrzV0UuLUi) in pZ0NK2y6HRbn(W1s0NiRRDIwA, Xj9Dn0XMnyM4, qL5g_Y9QrbPJ):
RF_2NucJiY7o = bKjqDcVeoR8T * RF_2NucJiY7o + 0.5 * (ElKQZxsdzppZ + Q2rrzV0UuLUi)
xafqLlk3kkUe(OzPvD_Uxl8LC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf96\x1a(\x8812\t\x00\xb8N\xd5'), '\x64' + chr(798 - 697) + chr(0b10110 + 0o115) + '\x6f' + '\144' + chr(353 - 252))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(45) + chr(393 - 337)))()
xafqLlk3kkUe(z1z1essZump_, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf96\x1a(\x8812\t\x00\xb8N\xd5'), '\x64' + chr(0b1100101) + '\x63' + '\157' + chr(0b111111 + 0o45) + chr(101))('\x75' + '\x74' + '\146' + chr(45) + '\070'))([TRUOLFLuD08x], xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b"\xc4'/2\x8e\n\x0c\x17\x0c\xf8X"), chr(100) + chr(0b1100101) + '\143' + chr(0b1101111) + '\x64' + '\x65')(chr(0b1010110 + 0o37) + chr(0b100111 + 0o115) + chr(0b1010110 + 0o20) + chr(618 - 573) + '\070'))())
xafqLlk3kkUe(OzPvD_Uxl8LC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), chr(100) + chr(1632 - 1531) + '\143' + chr(111) + '\x64' + chr(0b1100101))(chr(0b100010 + 0o123) + chr(0b111101 + 0o67) + chr(102) + chr(45) + chr(0b111000)))(aBu4gMMQp6Jg, is_train=ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31', 8))
oFJG1L823vlN = OzPvD_Uxl8LC.get_outputs()
xafqLlk3kkUe(a78xd9Im7Kgz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), '\x64' + '\x65' + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(2185 - 2084))(chr(5546 - 5429) + chr(0b111101 + 0o67) + '\x66' + chr(0b101101) + chr(2844 - 2788)))(xafqLlk3kkUe(CIVheOt0RKQX.io, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7#/\x0c\xa3\x1e\x0c\x04\x11'), chr(0b1100100) + chr(0b111001 + 0o54) + chr(0b1011100 + 0o7) + chr(0b1101111) + chr(100) + chr(0b100010 + 0o103))(chr(0b1110101) + chr(0b100010 + 0o122) + chr(5239 - 5137) + '\x2d' + chr(0b1 + 0o67)))(oFJG1L823vlN, []), is_train=ehT0Px3KOsy9('\x30' + chr(10578 - 10467) + chr(0b11100 + 0o25), 8))
Xjx4NOmj28He = a78xd9Im7Kgz.get_outputs()
xafqLlk3kkUe(La_R_z8KOYUG, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), chr(0b1100100) + '\x65' + chr(0b110111 + 0o54) + chr(111) + chr(1864 - 1764) + '\145')(chr(0b1110101) + '\x74' + '\x66' + chr(0b101101) + chr(56)))(xafqLlk3kkUe(CIVheOt0RKQX.io, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7#/\x0c\xa3\x1e\x0c\x04\x11'), chr(6207 - 6107) + chr(0b1100101) + chr(897 - 798) + chr(0b1101111) + '\x64' + '\x65')(chr(0b1110101) + chr(116) + chr(908 - 806) + chr(0b1 + 0o54) + chr(0b110 + 0o62)))(Xjx4NOmj28He, GQ4Wyhnb1BTX), is_train=ehT0Px3KOsy9(chr(571 - 523) + chr(7465 - 7354) + chr(0b110001), 8))
vwvL4fVWI2fc = La_R_z8KOYUG.get_outputs()
xafqLlk3kkUe(La_R_z8KOYUG, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1#8\x06\x96\x1e\n\x03'), chr(9737 - 9637) + chr(1518 - 1417) + '\x63' + '\x6f' + chr(0b10100 + 0o120) + chr(0b1000011 + 0o42))(chr(0b1000011 + 0o62) + chr(2802 - 2686) + '\146' + chr(1273 - 1228) + chr(56)))()
rONi9chbutEt = La_R_z8KOYUG.get_input_grads()
xafqLlk3kkUe(a78xd9Im7Kgz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1#8\x06\x96\x1e\n\x03'), '\144' + chr(1329 - 1228) + chr(0b1000 + 0o133) + '\x6f' + chr(100) + chr(101))(chr(117) + chr(829 - 713) + '\x66' + '\055' + chr(56)))(rONi9chbutEt)
NZJmpTj4ksIn = a78xd9Im7Kgz.get_input_grads()
xafqLlk3kkUe(OzPvD_Uxl8LC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1#8\x06\x96\x1e\n\x03'), '\x64' + '\x65' + chr(0b1100011) + chr(111) + chr(0b1010000 + 0o24) + chr(0b1001011 + 0o32))(chr(117) + '\x74' + chr(9600 - 9498) + chr(45) + '\x38'))(NZJmpTj4ksIn)
j46o97fAWInD = ix9dZyeAmUxY
xafqLlk3kkUe(HK6l4NQetj4l, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4 9\x0e\xa27-)?\xc1A\xd0'), chr(0b1100100) + chr(101) + '\143' + chr(10824 - 10713) + chr(7356 - 7256) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(273 - 171) + '\055' + chr(56)))(xafqLlk3kkUe(CIVheOt0RKQX.io, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7#/\x0c\xa3\x1e\x0c\x04\x11'), chr(100) + chr(0b1000101 + 0o40) + '\x63' + chr(12262 - 12151) + chr(100) + '\x65')(chr(11792 - 11675) + chr(8375 - 8259) + chr(8894 - 8792) + chr(45) + chr(56)))([xafqLlk3kkUe(CIVheOt0RKQX.ndarray, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0-5\x0e\x80\x0b'), '\144' + chr(101) + chr(0b10110 + 0o115) + chr(0b1101111) + chr(1959 - 1859) + chr(3249 - 3148))(chr(7491 - 7374) + '\x74' + '\146' + '\055' + chr(0b110 + 0o62)))(hOLPUi_G8xuS, OjVUlbaH0xgg, dim=ehT0Px3KOsy9('\060' + chr(0b1101111) + '\060', 8))]), is_train=ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + chr(0b110001), 8))
JKmCSV8oduMX = HK6l4NQetj4l.get_outputs()
xafqLlk3kkUe(HK6l4NQetj4l, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1#8\x06\x96\x1e\n\x03'), chr(100) + chr(0b100001 + 0o104) + chr(0b1100011) + '\157' + chr(0b100000 + 0o104) + '\145')(chr(0b11010 + 0o133) + chr(4824 - 4708) + chr(0b11000 + 0o116) + chr(879 - 834) + '\070'))()
sZyG73w7eM3u = HK6l4NQetj4l.get_input_grads()
WHjIUKcr1CM9 = OzPvD_Uxl8LC.get_input_grads()
WHjIUKcr1CM9 = WHjIUKcr1CM9[ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1011110 + 0o21) + chr(0b110000), 8)].reshape((ix9dZyeAmUxY, lYSzSjlBurVZ))
xafqLlk3kkUe(tnY4H_9Kt0yv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1#8\x06\x96\x1e\n\x03'), chr(0b1100100) + chr(8127 - 8026) + chr(0b1100011) + chr(0b1100000 + 0o17) + chr(100) + '\145')('\165' + chr(0b1001111 + 0o45) + '\x66' + chr(0b101101) + '\x38'))(xafqLlk3kkUe(CIVheOt0RKQX.ndarray, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd027\x04\x95'), chr(0b111110 + 0o46) + chr(5919 - 5818) + '\143' + chr(0b10011 + 0o134) + chr(0b1101 + 0o127) + chr(101))(chr(0b1110101) + chr(0b1110100) + '\x66' + '\x2d' + chr(0b11011 + 0o35)))(sZyG73w7eM3u[ehT0Px3KOsy9(chr(505 - 457) + chr(0b1101111) + chr(0b100010 + 0o16), 8)], num_outputs=ehT0Px3KOsy9('\060' + '\157' + chr(0b110010), 8), axis=ehT0Px3KOsy9('\060' + chr(4187 - 4076) + '\060', 8)) + [WHjIUKcr1CM9])
xafqLlk3kkUe(tnY4H_9Kt0yv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf96\x1a(\x8812\t\x00\xb8N\xd5'), '\x64' + chr(1076 - 975) + chr(0b1100011) + chr(0b1000001 + 0o56) + chr(0b1100100) + '\x65')(chr(12208 - 12091) + '\164' + chr(0b1100110) + chr(1239 - 1194) + chr(56)))()
eyamnrN0elUS = CIVheOt0RKQX.ndarray.concat(hOLPUi_G8xuS, OjVUlbaH0xgg, dim=ehT0Px3KOsy9(chr(0b110000) + chr(7104 - 6993) + chr(259 - 211), 8))
xafqLlk3kkUe(YzwIrntvhJ_u, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf96\x1a(\x8812\t\x00\xb8N\xd5'), chr(0b1100100) + chr(0b111010 + 0o53) + chr(0b1100011) + chr(0b101000 + 0o107) + chr(100) + chr(0b1001001 + 0o34))(chr(0b1110101) + chr(13197 - 13081) + chr(0b100100 + 0o102) + chr(362 - 317) + chr(56)))([eyamnrN0elUS], [eyamnrN0elUS])
if DBjXwuJhP8U3 is not None:
xafqLlk3kkUe(DBjXwuJhP8U3, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7-82\x91\r\x11\t\r'), chr(4881 - 4781) + chr(6250 - 6149) + chr(99) + '\x6f' + '\x64' + chr(0b1100101))(chr(0b1101000 + 0o15) + chr(3466 - 3350) + chr(0b1000 + 0o136) + chr(2015 - 1970) + chr(1985 - 1929)))()
YeT3l7JgTbWR += ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + '\x31', 8)
if YeT3l7JgTbWR % qcBK0Oj506zJ == ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(48), 8):
zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc624\x0e\x89E'), chr(4964 - 4864) + chr(0b110001 + 0o64) + '\x63' + chr(7367 - 7256) + '\144' + '\x65')(chr(117) + chr(0b100011 + 0o121) + chr(0b1011100 + 0o12) + chr(0b101101) + chr(0b111000)), LWTVW06OsTjl, xafqLlk3kkUe(SXOLrMavuUCe(b'\xca6>\x1f\xdb'), chr(100) + '\145' + chr(0b1100 + 0o127) + chr(6443 - 6332) + chr(100) + '\145')(chr(0b100010 + 0o123) + chr(231 - 115) + chr(4828 - 4726) + chr(1305 - 1260) + '\x38'), YeT3l7JgTbWR, xafqLlk3kkUe(SXOLrMavuUCe(b"\xce'/\x1f\x88\x1cB"), chr(4444 - 4344) + chr(8655 - 8554) + chr(0b1001111 + 0o24) + chr(0b1101111) + '\144' + '\145')(chr(0b1110101) + chr(1654 - 1538) + chr(0b110111 + 0o57) + chr(0b101101) + '\070'), xafqLlk3kkUe(sNE7GQYeewwp, xafqLlk3kkUe(SXOLrMavuUCe(b"\xc4'/"), chr(0b1000011 + 0o41) + '\145' + chr(99) + chr(111) + chr(0b1100010 + 0o2) + chr(0b10001 + 0o124))(chr(117) + '\x74' + chr(4830 - 4728) + '\055' + chr(0b111000)))(), xafqLlk3kkUe(z1z1essZump_, xafqLlk3kkUe(SXOLrMavuUCe(b"\xc4'/"), chr(100) + chr(101) + '\143' + chr(0b1001010 + 0o45) + chr(100) + chr(101))(chr(9728 - 9611) + chr(7504 - 7388) + chr(0b10110 + 0o120) + chr(0b101101) + '\070'))(), xafqLlk3kkUe(MLmXpZZ5mCqm, xafqLlk3kkUe(SXOLrMavuUCe(b"\xc4'/"), chr(7871 - 7771) + chr(5339 - 5238) + chr(0b1100011) + '\x6f' + '\144' + chr(825 - 724))(chr(0b1110 + 0o147) + chr(0b1110100) + chr(0b101110 + 0o70) + chr(0b101101) + chr(0b111000)))(), xafqLlk3kkUe(YzwIrntvhJ_u, xafqLlk3kkUe(SXOLrMavuUCe(b"\xc4'/"), '\144' + '\145' + chr(0b101001 + 0o72) + '\157' + chr(100) + chr(101))(chr(0b1110101) + '\164' + '\146' + '\055' + chr(0b100000 + 0o30)))(), xafqLlk3kkUe(JKmCSV8oduMX[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1614 - 1566), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'\xc215\x18\x8c\x0f\x01'), '\x64' + chr(0b1100101) + chr(0b1011011 + 0o10) + chr(0b11010 + 0o125) + '\144' + '\145')('\x75' + '\164' + chr(102) + chr(0b101101) + chr(0b11010 + 0o36)))(), xafqLlk3kkUe(vwvL4fVWI2fc[ehT0Px3KOsy9('\060' + chr(12175 - 12064) + chr(0b110000), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'\xc215\x18\x8c\x0f\x01'), chr(0b1100010 + 0o2) + chr(0b111010 + 0o53) + '\x63' + '\x6f' + chr(0b1100100) + '\x65')(chr(4538 - 4421) + '\164' + '\x66' + chr(0b101 + 0o50) + '\x38'))())
xafqLlk3kkUe(sNE7GQYeewwp, xafqLlk3kkUe(SXOLrMavuUCe(b"\xd1'(\x08\x95"), chr(0b1100100) + chr(0b1100010 + 0o3) + chr(0b101 + 0o136) + chr(111) + chr(100) + chr(1530 - 1429))(chr(0b1110101) + chr(3297 - 3181) + '\x66' + '\x2d' + chr(0b100000 + 0o30)))()
xafqLlk3kkUe(z1z1essZump_, xafqLlk3kkUe(SXOLrMavuUCe(b"\xd1'(\x08\x95"), '\x64' + chr(0b1100101) + chr(0b111011 + 0o50) + '\x6f' + chr(0b1100100) + chr(101))(chr(0b1010110 + 0o37) + chr(116) + chr(0b1100110) + '\055' + chr(749 - 693)))()
xafqLlk3kkUe(MLmXpZZ5mCqm, xafqLlk3kkUe(SXOLrMavuUCe(b"\xd1'(\x08\x95"), chr(100) + '\x65' + '\x63' + chr(111) + chr(6267 - 6167) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(348 - 303) + '\x38'))()
xafqLlk3kkUe(YzwIrntvhJ_u, xafqLlk3kkUe(SXOLrMavuUCe(b"\xd1'(\x08\x95"), chr(0b11101 + 0o107) + chr(101) + chr(3906 - 3807) + '\x6f' + chr(0b11111 + 0o105) + chr(0b10010 + 0o123))('\165' + '\164' + chr(8012 - 7910) + '\x2d' + '\x38'))()
if LWTVW06OsTjl % U2P4LtjjnHfy == ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(0b0 + 0o60), 8):
DF3PlOL9iqUW(pybif4rGbt58 + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4-.\x19'), chr(9930 - 9830) + '\145' + chr(8777 - 8678) + chr(0b1001 + 0o146) + chr(0b1100100) + '\145')(chr(117) + chr(0b1101 + 0o147) + chr(0b1100110) + '\x2d' + chr(0b111000)) + M8_cKLkHVB2V(LWTVW06OsTjl), xafqLlk3kkUe(RkFDbaYNfrvk[ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(10756 - 10645) + chr(48), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'\xc215\x18\x8c\x0f\x01'), chr(0b111110 + 0o46) + '\x65' + '\143' + '\x6f' + chr(0b1001111 + 0o25) + '\x65')('\x75' + chr(0b1000101 + 0o57) + chr(0b1100110) + '\055' + '\070'))(), _GyOifGFZyk1)
DF3PlOL9iqUW(pybif4rGbt58 + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7#/\x0c'), '\144' + chr(0b1100101) + '\x63' + '\x6f' + '\x64' + chr(620 - 519))(chr(0b1010011 + 0o42) + chr(0b110001 + 0o103) + chr(102) + '\x2d' + chr(56)) + M8_cKLkHVB2V(LWTVW06OsTjl), xafqLlk3kkUe(dNwAahu8tvoY.data[ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(10492 - 10381) + chr(0b110 + 0o52), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'\xc215\x18\x8c\x0f\x01'), chr(0b1100100) + chr(0b1100101) + chr(2449 - 2350) + chr(111) + '\144' + chr(0b1100101))('\165' + '\164' + chr(102) + chr(492 - 447) + chr(2785 - 2729)))(), _GyOifGFZyk1)
if Q4mk5tKpSFZv and LWTVW06OsTjl % nSLlY8QB9rBq == ehT0Px3KOsy9('\060' + '\157' + chr(0b1001 + 0o47), 8):
zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0#-\x04\x8f\x18VIW'), chr(100) + chr(0b1001001 + 0o34) + '\143' + chr(8267 - 8156) + chr(0b1100100) + chr(7345 - 7244))(chr(0b1101011 + 0o12) + chr(116) + chr(0b1100110) + chr(45) + chr(0b1101 + 0o53)))
xafqLlk3kkUe(OzPvD_Uxl8LC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0#-\x08\xbe\x0f\x19\x15\x18\xe1X'), chr(1655 - 1555) + chr(101) + '\x63' + chr(0b1101111) + '\144' + chr(0b111100 + 0o51))('\x75' + chr(116) + chr(7768 - 7666) + '\055' + '\070'))(lbKq88EBpYWb + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8cg(2\xa6R]WM\xe8\x05\x95\xfeA\xf8o\xf3'), chr(6071 - 5971) + chr(0b1100101) + '\x63' + chr(0b101111 + 0o100) + chr(100) + chr(0b1100101 + 0o0))(chr(556 - 439) + '\x74' + chr(7494 - 7392) + '\x2d' + '\070') % (xQt6gV9VfTO3, LWTVW06OsTjl))
xafqLlk3kkUe(gWH1XZrjx9Tu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0#-\x08\xbe\x0f\x19\x15\x18\xe1X'), '\144' + chr(9433 - 9332) + '\143' + chr(0b1101111) + chr(836 - 736) + '\145')(chr(0b1110101) + chr(116) + chr(0b1100110) + '\055' + chr(0b110011 + 0o5)))(lbKq88EBpYWb + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8cg(2\xa5R]WM\xe8\x05\x95\xfeA\xf8o\xf3'), chr(7410 - 7310) + chr(2533 - 2432) + '\143' + chr(111) + '\x64' + chr(4640 - 4539))(chr(6992 - 6875) + '\x74' + chr(0b1100110) + '\055' + chr(56)) % (xQt6gV9VfTO3, LWTVW06OsTjl))
xafqLlk3kkUe(tnY4H_9Kt0yv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0#-\x08\xbe\x0f\x19\x15\x18\xe1X'), chr(7785 - 7685) + chr(0b1001 + 0o134) + chr(0b0 + 0o143) + chr(0b1101111) + chr(5352 - 5252) + chr(0b111001 + 0o54))(chr(0b1110101) + chr(6944 - 6828) + '\x66' + chr(422 - 377) + chr(56)))(lbKq88EBpYWb + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8cg(2\xa4R]WM\xe8\x05\x95\xfeA\xf8o\xf3'), '\x64' + chr(0b1001000 + 0o35) + '\x63' + chr(2931 - 2820) + '\x64' + '\x65')('\x75' + chr(116) + '\146' + '\x2d' + chr(957 - 901)) % (xQt6gV9VfTO3, LWTVW06OsTjl))
|
apache/incubator-mxnet
|
example/vae-gan/vaegan_mxnet.py
|
create_and_validate_dir
|
def create_and_validate_dir(data_dir):
'''Creates/Validates dir
'''
if data_dir != "":
if not os.path.exists(data_dir):
try:
logging.info('create directory %s', data_dir)
os.makedirs(data_dir)
except OSError as exc:
if exc.errno != errno.EEXIST:
raise OSError('failed to create ' + data_dir)
|
python
|
def create_and_validate_dir(data_dir):
'''Creates/Validates dir
'''
if data_dir != "":
if not os.path.exists(data_dir):
try:
logging.info('create directory %s', data_dir)
os.makedirs(data_dir)
except OSError as exc:
if exc.errno != errno.EEXIST:
raise OSError('failed to create ' + data_dir)
|
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"errno",
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"EEXIST",
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"(",
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"+",
"data_dir",
")"
] |
Creates/Validates dir
|
[
"Creates",
"/",
"Validates",
"dir"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/vae-gan/vaegan_mxnet.py#L660-L670
|
train
|
Creates and validates the directory structure.
|
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(0b1110 + 0o45) + chr(0b100010 + 0o20) + '\x31', 0o10), ehT0Px3KOsy9(chr(838 - 790) + '\157' + chr(0b10111 + 0o34) + '\067' + chr(1668 - 1615), 55461 - 55453), ehT0Px3KOsy9(chr(1583 - 1535) + '\157' + '\067' + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(48) + chr(1792 - 1741), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101100 + 0o6) + chr(0b101100 + 0o4) + chr(1973 - 1922), 39407 - 39399), ehT0Px3KOsy9(chr(428 - 380) + chr(0b1101111) + chr(0b110001 + 0o0) + '\064' + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\062' + chr(0b101000 + 0o16), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101001 + 0o6) + chr(1859 - 1804) + chr(1121 - 1073), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + '\x33' + chr(0b110011 + 0o1), 0b1000), ehT0Px3KOsy9(chr(415 - 367) + chr(0b1101111) + '\x32' + chr(0b110011), 3849 - 3841), ehT0Px3KOsy9('\x30' + chr(1773 - 1662) + '\063' + '\x33' + chr(0b100101 + 0o21), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1244 - 1194) + chr(0b110101) + chr(702 - 654), 0o10), ehT0Px3KOsy9(chr(947 - 899) + chr(111) + '\x33' + chr(0b1111 + 0o45) + chr(1669 - 1620), 0b1000), ehT0Px3KOsy9(chr(1214 - 1166) + chr(0b1101010 + 0o5) + chr(0b110011) + '\x36' + '\061', 36419 - 36411), ehT0Px3KOsy9(chr(48) + chr(9724 - 9613) + chr(51) + chr(0b101010 + 0o12) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(0b110010) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + '\065' + chr(0b0 + 0o67), 34419 - 34411), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100111 + 0o12) + chr(48) + chr(1416 - 1361), ord("\x08")), ehT0Px3KOsy9(chr(498 - 450) + '\x6f' + chr(1035 - 986) + chr(55) + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + '\x33' + chr(0b10110 + 0o33), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(49) + chr(0b11 + 0o62), 62525 - 62517), ehT0Px3KOsy9('\x30' + chr(903 - 792) + '\x31' + chr(0b110010) + '\067', 16874 - 16866), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1100 - 1050) + chr(0b10101 + 0o34) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11001 + 0o126) + '\x33' + '\060' + chr(0b100001 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110100) + chr(0b100010 + 0o17), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\x35' + chr(0b110010 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1626 - 1575) + chr(1690 - 1636), 8), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + '\x31' + '\x34' + chr(48), 0o10), ehT0Px3KOsy9(chr(92 - 44) + chr(111) + '\x32' + chr(0b100101 + 0o13) + chr(292 - 242), 0b1000), ehT0Px3KOsy9(chr(337 - 289) + chr(930 - 819) + chr(0b100 + 0o56) + '\x32' + '\061', 36717 - 36709), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\062' + '\061', 8), ehT0Px3KOsy9('\x30' + chr(6617 - 6506) + '\061' + '\x33' + chr(0b110001 + 0o6), 28156 - 28148), ehT0Px3KOsy9(chr(48) + chr(5442 - 5331) + chr(0b11 + 0o60) + '\x30' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(182 - 132) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b110110) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(9913 - 9802) + chr(718 - 664) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101101 + 0o6) + chr(0b110100) + chr(51), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1100 + 0o47) + '\x36' + chr(2418 - 2368), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1481 - 1432) + '\x36' + chr(1011 - 960), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + '\065' + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xff'), chr(100) + chr(3398 - 3297) + '\143' + chr(111) + '\x64' + chr(101))(chr(117) + chr(6460 - 6344) + chr(3131 - 3029) + chr(1726 - 1681) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def sfb1KKm5xDdG(kVFRD544hi_1):
if kVFRD544hi_1 != xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(100) + '\x65' + '\x63' + '\x6f' + chr(2331 - 2231) + chr(1347 - 1246))('\x75' + '\164' + chr(8376 - 8274) + chr(0b101101) + '\x38'):
if not xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\x85S\xb0\xf7\x10'), chr(100) + chr(8512 - 8411) + chr(0b11111 + 0o104) + '\157' + chr(0b1100100) + '\x65')('\x75' + '\x74' + '\x66' + '\x2d' + '\x38'))(kVFRD544hi_1):
try:
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x82\xcar\xbb\xf6\x00\xf1\x0f\xb6\x7f\x84\xc3'), chr(6393 - 6293) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(9582 - 9482) + '\x65')('\165' + chr(6466 - 6350) + chr(102) + '\055' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2\x8f_\xa2\xf7\x06\xb6\\\xb5a\xbb\xcb\x95\x9e\x96\xae\x8fb\n'), '\x64' + '\x65' + chr(0b1100011) + chr(111) + chr(100) + chr(0b1100101))(chr(0b10 + 0o163) + chr(116) + chr(0b1100110) + chr(1997 - 1952) + chr(0b111000)), kVFRD544hi_1)
xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x9cQ\xa6\xe7\n\xe4K'), chr(3451 - 3351) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(4365 - 4265) + chr(101))(chr(0b1001101 + 0o50) + '\x74' + '\x66' + chr(0b101101) + chr(56)))(kVFRD544hi_1)
except KlPSljPzIJ_u as YitWAjCPw_g9:
if xafqLlk3kkUe(YitWAjCPw_g9, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\x8fH\xad\xec'), '\x64' + chr(0b111010 + 0o53) + chr(99) + chr(0b1101111) + '\144' + '\145')(chr(0b1010110 + 0o37) + chr(1744 - 1628) + chr(0b100 + 0o142) + '\055' + chr(0b111000))) != xafqLlk3kkUe(lKz5VhncMjGe, xafqLlk3kkUe(SXOLrMavuUCe(b'\x94\xb8b\x8a\xd07'), chr(100) + '\145' + chr(5967 - 5868) + chr(0b1101111) + '\x64' + chr(3406 - 3305))(chr(0b1110101) + '\164' + chr(102) + chr(0b100 + 0o51) + chr(0b111000))):
raise KlPSljPzIJ_u(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\x9cS\xaf\xe6\x07\xb6L\xb33\xbd\xda\x84\x90\x90\xb2\x8f'), chr(0b1100100) + chr(7151 - 7050) + chr(99) + chr(7716 - 7605) + '\144' + chr(101))(chr(0b1110101) + chr(0b110000 + 0o104) + chr(102) + chr(0b11010 + 0o23) + '\x38') + kVFRD544hi_1)
|
apache/incubator-mxnet
|
example/vae-gan/vaegan_mxnet.py
|
parse_args
|
def parse_args():
'''Parse args
'''
parser = argparse.ArgumentParser(description='Train and Test an Adversarial Variatiional Encoder')
parser.add_argument('--train', help='train the network', action='store_true')
parser.add_argument('--test', help='test the network', action='store_true')
parser.add_argument('--save_embedding', help='saves the shape embedding of each input image', action='store_true')
parser.add_argument('--dataset', help='dataset name', default='caltech', type=str)
parser.add_argument('--activation', help='activation i.e. sigmoid or tanh', default='sigmoid', type=str)
parser.add_argument('--training_data_path', help='training data path', default='datasets/caltech101/data/images32x32', type=str)
parser.add_argument('--testing_data_path', help='testing data path', default='datasets/caltech101/test_data', type=str)
parser.add_argument('--pretrained_encoder_path', help='pretrained encoder model path', default='checkpoints32x32_sigmoid/caltech_E-0045.params', type=str)
parser.add_argument('--pretrained_generator_path', help='pretrained generator model path', default='checkpoints32x32_sigmoid/caltech_G-0045.params', type=str)
parser.add_argument('--output_path', help='output path for the generated images', default='outputs32x32_sigmoid', type=str)
parser.add_argument('--embedding_path', help='output path for the generated embeddings', default='outputs32x32_sigmoid', type=str)
parser.add_argument('--checkpoint_path', help='checkpoint saving path ', default='checkpoints32x32_sigmoid', type=str)
parser.add_argument('--nef', help='encoder filter count in the first layer', default=64, type=int)
parser.add_argument('--ndf', help='discriminator filter count in the first layer', default=64, type=int)
parser.add_argument('--ngf', help='generator filter count in the second last layer', default=64, type=int)
parser.add_argument('--nc', help='generator filter count in the last layer i.e. 1 for grayscale image, 3 for RGB image', default=1, type=int)
parser.add_argument('--batch_size', help='batch size, keep it 1 during testing', default=64, type=int)
parser.add_argument('--Z', help='embedding size', default=100, type=int)
parser.add_argument('--lr', help='learning rate', default=0.0002, type=float)
parser.add_argument('--beta1', help='beta1 for adam optimizer', default=0.5, type=float)
parser.add_argument('--epsilon', help='epsilon for adam optimizer', default=1e-5, type=float)
parser.add_argument('--g_dl_weight', help='discriminator layer loss weight', default=1e-1, type=float)
parser.add_argument('--gpu', help='gpu index', default=0, type=int)
parser.add_argument('--use_cpu', help='use cpu', action='store_true')
parser.add_argument('--num_epoch', help='number of maximum epochs ', default=45, type=int)
parser.add_argument('--save_after_every', help='save checkpoint after every this number of epochs ', default=5, type=int)
parser.add_argument('--visualize_after_every', help='save output images after every this number of epochs', default=5, type=int)
parser.add_argument('--show_after_every', help='show metrics after this number of iterations', default=10, type=int)
args = parser.parse_args()
return args
|
python
|
def parse_args():
'''Parse args
'''
parser = argparse.ArgumentParser(description='Train and Test an Adversarial Variatiional Encoder')
parser.add_argument('--train', help='train the network', action='store_true')
parser.add_argument('--test', help='test the network', action='store_true')
parser.add_argument('--save_embedding', help='saves the shape embedding of each input image', action='store_true')
parser.add_argument('--dataset', help='dataset name', default='caltech', type=str)
parser.add_argument('--activation', help='activation i.e. sigmoid or tanh', default='sigmoid', type=str)
parser.add_argument('--training_data_path', help='training data path', default='datasets/caltech101/data/images32x32', type=str)
parser.add_argument('--testing_data_path', help='testing data path', default='datasets/caltech101/test_data', type=str)
parser.add_argument('--pretrained_encoder_path', help='pretrained encoder model path', default='checkpoints32x32_sigmoid/caltech_E-0045.params', type=str)
parser.add_argument('--pretrained_generator_path', help='pretrained generator model path', default='checkpoints32x32_sigmoid/caltech_G-0045.params', type=str)
parser.add_argument('--output_path', help='output path for the generated images', default='outputs32x32_sigmoid', type=str)
parser.add_argument('--embedding_path', help='output path for the generated embeddings', default='outputs32x32_sigmoid', type=str)
parser.add_argument('--checkpoint_path', help='checkpoint saving path ', default='checkpoints32x32_sigmoid', type=str)
parser.add_argument('--nef', help='encoder filter count in the first layer', default=64, type=int)
parser.add_argument('--ndf', help='discriminator filter count in the first layer', default=64, type=int)
parser.add_argument('--ngf', help='generator filter count in the second last layer', default=64, type=int)
parser.add_argument('--nc', help='generator filter count in the last layer i.e. 1 for grayscale image, 3 for RGB image', default=1, type=int)
parser.add_argument('--batch_size', help='batch size, keep it 1 during testing', default=64, type=int)
parser.add_argument('--Z', help='embedding size', default=100, type=int)
parser.add_argument('--lr', help='learning rate', default=0.0002, type=float)
parser.add_argument('--beta1', help='beta1 for adam optimizer', default=0.5, type=float)
parser.add_argument('--epsilon', help='epsilon for adam optimizer', default=1e-5, type=float)
parser.add_argument('--g_dl_weight', help='discriminator layer loss weight', default=1e-1, type=float)
parser.add_argument('--gpu', help='gpu index', default=0, type=int)
parser.add_argument('--use_cpu', help='use cpu', action='store_true')
parser.add_argument('--num_epoch', help='number of maximum epochs ', default=45, type=int)
parser.add_argument('--save_after_every', help='save checkpoint after every this number of epochs ', default=5, type=int)
parser.add_argument('--visualize_after_every', help='save output images after every this number of epochs', default=5, type=int)
parser.add_argument('--show_after_every', help='show metrics after this number of iterations', default=10, type=int)
args = parser.parse_args()
return args
|
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Parse args
|
[
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/vae-gan/vaegan_mxnet.py#L673-L708
|
train
|
Parse command line arguments for the
function.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b101100 + 0o6) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11236 - 11125) + chr(2106 - 2055) + chr(0b110101) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(1205 - 1157) + chr(111) + chr(2178 - 2128) + '\x31' + chr(0b10110 + 0o36), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + '\066' + chr(1508 - 1454), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + '\061' + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b110111) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(104 - 56) + chr(0b1100000 + 0o17) + chr(51) + chr(0b110001) + chr(0b1 + 0o66), 60159 - 60151), ehT0Px3KOsy9(chr(1071 - 1023) + chr(111) + chr(1901 - 1851) + chr(53) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x35' + '\064', 0o10), ehT0Px3KOsy9(chr(436 - 388) + '\x6f' + chr(49) + chr(1682 - 1632) + chr(2032 - 1979), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4582 - 4471) + chr(0b100000 + 0o23) + '\x36' + chr(187 - 136), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10111 + 0o32) + '\x34' + chr(0b101100 + 0o4), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101100 + 0o10) + '\065', 7047 - 7039), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b101 + 0o54) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b110100) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + chr(0b11001 + 0o30) + chr(0b10111 + 0o36) + chr(49), 24286 - 24278), ehT0Px3KOsy9(chr(1274 - 1226) + '\157' + '\062' + chr(0b110111), 6721 - 6713), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(53) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(836 - 785) + chr(51) + chr(0b110111), 13541 - 13533), ehT0Px3KOsy9(chr(48) + chr(0b11000 + 0o127) + chr(50) + chr(51) + chr(0b10011 + 0o42), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(0b11110 + 0o26) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + '\x30' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b101100 + 0o13) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10000 + 0o41) + '\x31' + chr(2199 - 2150), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2185 - 2135) + chr(55) + '\x36', 8), ehT0Px3KOsy9(chr(48) + chr(0b111101 + 0o62) + chr(1237 - 1187) + chr(48) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1101 + 0o47) + chr(0b110001), 26539 - 26531), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\064' + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1464 - 1415) + chr(49) + '\x32', 0b1000), ehT0Px3KOsy9(chr(2094 - 2046) + '\x6f' + chr(388 - 339) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(3457 - 3346) + '\062' + chr(0b110100) + '\060', 0o10), ehT0Px3KOsy9(chr(441 - 393) + chr(111) + '\x35' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1073 - 1024) + '\x37' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + '\062' + chr(0b110101), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(94 - 42) + chr(1032 - 978), 8), ehT0Px3KOsy9(chr(1163 - 1115) + chr(111) + chr(50) + '\x37' + '\061', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b10 + 0o155) + '\063' + chr(48) + chr(1602 - 1553), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1000000 + 0o57) + chr(0b110110) + chr(51), 0o10), ehT0Px3KOsy9(chr(357 - 309) + '\x6f' + chr(51) + chr(0b11100 + 0o24) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + chr(0b11011 + 0o124) + chr(0b110010) + '\060' + chr(0b110111), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + chr(53) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8'), '\x64' + '\145' + chr(8824 - 8725) + '\x6f' + '\144' + chr(0b110000 + 0o65))(chr(13446 - 13329) + chr(0b1011101 + 0o27) + chr(8092 - 7990) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def WomKxYoHsZim():
uvsdWIii6oeC = J3PV4AmS6TTH.ArgumentParser(description=xafqLlk3kkUe(SXOLrMavuUCe(b"\xc2\x9a\xed_d\x9e\xae\xc2Hu\xa7\x05V:D\x08yI\x9e\xf9\xd0\xa7\x88:\xdf\xf4H\x03&.\xf6J\x0f<\xc7\xcd\xa8Z\xa9\xe9\xf7\x84\xacsd\xdd\xa0\xc8I'"), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(111) + chr(100) + '\145')('\x75' + chr(116) + chr(0b1100110) + '\055' + '\070'))
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), chr(0b1100100) + chr(0b1100101) + chr(7178 - 7079) + '\x6f' + chr(6572 - 6472) + chr(101))(chr(0b1110101) + chr(12823 - 12707) + chr(102) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xf8Dk\xd7\xa1'), '\x64' + chr(3508 - 3407) + chr(0b1100011) + chr(0b1101111) + chr(0b1010110 + 0o16) + '\x65')(chr(0b1110101) + chr(0b1010101 + 0o37) + chr(6601 - 6499) + chr(0b100101 + 0o10) + chr(1546 - 1490)), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\x9a\xed_d\x9e\xbb\xc4Iu\x9d\x05Q9\x0b\x1b|'), '\x64' + '\x65' + chr(99) + '\157' + '\144' + '\145')(chr(117) + '\x74' + chr(102) + '\x2d' + '\070'), action=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\x9c\xe3Do\xe1\xbb\xdeY0'), '\x64' + '\145' + '\143' + chr(0b1101111) + chr(2876 - 2776) + chr(101))(chr(0b1110101) + chr(0b110011 + 0o101) + chr(0b1100 + 0o132) + chr(0b101101) + chr(887 - 831)))
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), '\x64' + chr(0b1100101) + chr(0b1100 + 0o127) + chr(0b1100110 + 0o11) + '\144' + chr(0b1100101))(chr(0b1110101) + '\164' + chr(102) + '\055' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xf8Sy\xca'), '\x64' + chr(101) + chr(1786 - 1687) + chr(0b111010 + 0o65) + '\144' + chr(0b1011001 + 0o14))(chr(0b1110101) + '\x74' + chr(102) + chr(0b101101) + '\x38'), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\x8d\xffB*\xca\xa7\xc9\x0c;\x96\x14R!\x16\x02'), chr(100) + '\x65' + '\x63' + '\157' + '\x64' + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(7368 - 7266) + chr(45) + chr(56)), action=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\x9c\xe3Do\xe1\xbb\xdeY0'), chr(100) + chr(3566 - 3465) + '\x63' + chr(0b11100 + 0o123) + '\x64' + '\x65')(chr(117) + chr(9946 - 9830) + chr(1993 - 1891) + chr(0b100000 + 0o15) + chr(56)))
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), chr(0b1100100) + '\x65' + chr(6704 - 6605) + chr(111) + '\x64' + '\145')(chr(117) + '\x74' + chr(0b11001 + 0o115) + chr(0b101101) + chr(0b11110 + 0o32)))(xafqLlk3kkUe(SXOLrMavuUCe(b"\xbb\xc5\xffW|\xdb\x90\xc9A7\x96\x04A'\n\x0e"), chr(0b1011010 + 0o12) + chr(101) + chr(9720 - 9621) + '\x6f' + chr(1595 - 1495) + chr(0b11000 + 0o115))('\x75' + '\x74' + '\146' + chr(1831 - 1786) + chr(0b101001 + 0o17)), help=xafqLlk3kkUe(SXOLrMavuUCe(b"\xe5\x89\xfaSy\x9e\xbb\xc4Iu\x80\x08D>\x01Ir\x04\xbd\xf8\xc2\xa6\x93'\xd9\xa6N\x04jk\xc1H\x15u\xcf\xd7\xb1F\xb2\xa7\xff\x85\xedQo"), chr(0b111 + 0o135) + '\145' + chr(3928 - 3829) + '\157' + chr(0b1100100) + chr(0b11110 + 0o107))(chr(0b1110101) + chr(116) + '\146' + chr(45) + '\070'), action=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\x9c\xe3Do\xe1\xbb\xdeY0'), '\144' + chr(5239 - 5138) + chr(0b1001110 + 0o25) + chr(111) + chr(1232 - 1132) + chr(0b111100 + 0o51))(chr(117) + chr(0b110010 + 0o102) + chr(0b1011011 + 0o13) + chr(45) + chr(0b11011 + 0o35)))
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), chr(3279 - 3179) + chr(0b110110 + 0o57) + chr(7161 - 7062) + '\x6f' + chr(0b1100100) + chr(101))(chr(0b1011101 + 0o30) + chr(0b110100 + 0o100) + chr(0b1100110) + '\x2d' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xe8W~\xdf\xbc\xc9X'), chr(100) + chr(101) + chr(0b1100011) + chr(2435 - 2324) + chr(0b100010 + 0o102) + chr(101))(chr(0b1110101) + chr(12476 - 12360) + chr(0b1000000 + 0o46) + chr(45) + chr(0b101110 + 0o12)), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\x89\xf8Wy\xdb\xbb\x8cB4\x9e\x05'), chr(100) + chr(3386 - 3285) + chr(0b11100 + 0o107) + chr(111) + '\x64' + '\x65')(chr(0b1110101) + '\164' + chr(8646 - 8544) + chr(1591 - 1546) + chr(279 - 223)), default=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\x89\xe0Bo\xdd\xa7'), '\x64' + chr(0b1100101) + chr(4835 - 4736) + chr(3022 - 2911) + '\x64' + chr(0b1100101))('\x75' + '\x74' + chr(0b1110 + 0o130) + chr(45) + chr(0b111 + 0o61)), type=M8_cKLkHVB2V)
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), '\144' + chr(3979 - 3878) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(101))('\x75' + '\164' + chr(102) + '\x2d' + chr(0b11 + 0o65)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xedU~\xd7\xb9\xcdX<\x9c\x0e'), chr(100) + '\x65' + chr(0b1100001 + 0o2) + '\x6f' + '\144' + chr(0b110110 + 0o57))(chr(117) + chr(0b101111 + 0o105) + chr(102) + chr(45) + chr(56)), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8b\xf8_|\xdf\xbb\xc5C;\xd3\t\x0b+JId\x00\xb8\xf0\xc9\xab\x9ei\xd1\xf4\x01\x16+`\xc8'), chr(0b1100100) + chr(0b1001101 + 0o30) + chr(0b1100011) + chr(111) + chr(6311 - 6211) + chr(0b1100100 + 0o1))('\x75' + '\164' + '\x66' + chr(45) + '\070'), default=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\x81\xeb[e\xd7\xab'), '\x64' + chr(286 - 185) + chr(0b110011 + 0o60) + chr(0b1101111) + '\x64' + chr(101))(chr(117) + chr(0b110001 + 0o103) + '\x66' + chr(45) + '\x38'), type=M8_cKLkHVB2V)
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), chr(0b1100100) + '\x65' + chr(0b100011 + 0o100) + '\x6f' + chr(0b110 + 0o136) + '\x65')(chr(117) + chr(0b11110 + 0o126) + chr(102) + chr(0b100001 + 0o14) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xf8Dk\xd7\xa1\xc5B2\xac\x04D:\x056g\x08\xab\xf5'), '\144' + chr(0b1100001 + 0o4) + chr(674 - 575) + chr(0b1101111) + chr(0b1100 + 0o130) + chr(101))(chr(0b1011010 + 0o33) + chr(0b1110100) + '\146' + chr(408 - 363) + chr(0b110110 + 0o2)), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\x9a\xed_d\xd7\xa1\xcb\x0c1\x92\x14Dn\x14\x08c\x01'), '\144' + chr(101) + '\143' + chr(0b1101111) + chr(0b110011 + 0o61) + '\145')(chr(117) + '\164' + '\146' + '\x2d' + '\070'), default=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\x89\xf8Wy\xdb\xbb\xdf\x036\x92\x0cQ+\x07\x01&Y\xee\xb2\xc2\xa3\x8e(\x91\xefL\x03-k\xd3\x18O-\x95\x8b'), chr(0b1100100) + chr(0b110011 + 0o62) + chr(99) + chr(7620 - 7509) + '\144' + chr(5008 - 4907))(chr(0b11110 + 0o127) + chr(11980 - 11864) + '\x66' + chr(0b101101) + chr(0b111000)), type=M8_cKLkHVB2V)
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), chr(0b1010111 + 0o15) + '\145' + chr(7353 - 7254) + '\157' + chr(0b1001011 + 0o31) + chr(101))(chr(0b1110101) + chr(116) + chr(0b1100 + 0o132) + chr(45) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xf8Sy\xca\xa6\xc2K\n\x97\x01Q/;\x19v\x1d\xb7'), chr(0b1100001 + 0o3) + chr(101) + '\143' + chr(0b1101111) + chr(100) + chr(0b10110 + 0o117))(chr(6896 - 6779) + chr(0b1110100) + chr(102) + '\x2d' + chr(0b11110 + 0o32)), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\x8d\xffBc\xd0\xa8\x8cH4\x87\x01\x05>\x05\x1d\x7f'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b1010100 + 0o33) + chr(100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(1968 - 1912)), default=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\x89\xf8Wy\xdb\xbb\xdf\x036\x92\x0cQ+\x07\x01&Y\xee\xb2\xd2\xa7\x89=\xe1\xe2@\x16+'), '\x64' + chr(0b11101 + 0o110) + chr(99) + chr(111) + chr(5446 - 5346) + chr(6613 - 6512))('\165' + '\x74' + chr(0b10 + 0o144) + chr(0b101101) + '\070'), type=M8_cKLkHVB2V)
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), '\144' + chr(0b1100101) + chr(383 - 284) + chr(111) + '\144' + '\145')(chr(4280 - 4163) + chr(322 - 206) + '\146' + chr(45) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xfcDo\xca\xbd\xcdE;\x96\x04z+\n\nx\r\xba\xef\xf9\xb2\x9b=\xd6'), chr(100) + chr(8508 - 8407) + chr(0b1100011) + '\157' + '\144' + chr(101))('\165' + '\x74' + chr(5081 - 4979) + chr(0b101101) + '\x38'), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\x9a\xe9Bx\xdf\xa6\xc2I1\xd3\x05K-\x0b\rr\x1b\xff\xf0\xc9\xa6\x9f%\x9e\xf6@\x16"'), '\x64' + chr(101) + chr(3627 - 3528) + chr(111) + chr(3959 - 3859) + chr(0b0 + 0o145))(chr(4107 - 3990) + '\164' + '\146' + chr(0b11011 + 0o22) + '\x38'), default=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\x80\xe9Ua\xce\xa0\xc5B!\x80S\x176W[H\x1a\xb6\xfa\xcb\xad\x93-\x91\xe5@\x0e>k\xc3C"\x10\x8b\x89\xf1\x07\xf3\xa9\xe6\x89\xfeWg\xcd'), chr(100) + '\145' + chr(5013 - 4914) + '\157' + chr(100) + chr(101))(chr(0b110110 + 0o77) + chr(7574 - 7458) + chr(3769 - 3667) + chr(591 - 546) + '\070'), type=M8_cKLkHVB2V)
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), '\x64' + chr(0b1100101) + chr(0b1100 + 0o127) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(8853 - 8737) + chr(0b11111 + 0o107) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xfcDo\xca\xbd\xcdE;\x96\x04z)\x01\x07r\x1b\xbe\xe9\xc9\xb0\xa59\xdf\xf2I'), chr(0b1010111 + 0o15) + '\145' + chr(3253 - 3154) + chr(111) + chr(5547 - 5447) + chr(101))(chr(117) + '\164' + '\x66' + chr(0b101101) + '\x38'), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\x9a\xe9Bx\xdf\xa6\xc2I1\xd3\x07@ \x01\x1bv\x1d\xb0\xef\x86\xaf\x95-\xdb\xea\x01\x12+z\xc8'), chr(0b1100100) + '\145' + '\143' + '\157' + chr(0b100010 + 0o102) + '\x65')(chr(5410 - 5293) + '\164' + chr(102) + chr(45) + chr(2969 - 2913)), default=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\x80\xe9Ua\xce\xa0\xc5B!\x80S\x176W[H\x1a\xb6\xfa\xcb\xad\x93-\x91\xe5@\x0e>k\xc3C"\x12\x8b\x89\xf1\x07\xf3\xa9\xe6\x89\xfeWg\xcd'), chr(2447 - 2347) + '\145' + '\x63' + chr(111) + chr(691 - 591) + '\x65')(chr(0b11110 + 0o127) + chr(0b100110 + 0o116) + chr(102) + chr(0b101101 + 0o0) + chr(0b111000)), type=M8_cKLkHVB2V)
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), chr(100) + chr(0b1100101) + '\x63' + '\157' + chr(100) + chr(101))('\x75' + chr(0b10001 + 0o143) + chr(6222 - 6120) + chr(0b100001 + 0o14) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xe3C~\xce\xba\xd8s%\x92\x14M'), '\x64' + '\145' + chr(0b1010001 + 0o22) + chr(0b1101111) + '\x64' + chr(101))('\165' + chr(0b1110100) + '\146' + '\055' + '\070'), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9\x9d\xf8F\x7f\xca\xef\xdcM!\x9b@C!\x16Ic\x01\xba\xbd\xc1\xa7\x94,\xcc\xe7U\x07..\xc9F\x1c2\xc3\xca'), '\x64' + '\145' + '\143' + chr(0b1101111) + '\x64' + chr(0b10101 + 0o120))(chr(0b1000011 + 0o62) + chr(3508 - 3392) + chr(0b111011 + 0o53) + chr(0b101101) + chr(0b111000)), default=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9\x9d\xf8F\x7f\xca\xbc\x9f\x1e-\xc0Rz=\r\x0ez\x06\xb6\xf9'), chr(100) + '\145' + chr(99) + chr(111) + '\x64' + chr(6155 - 6054))(chr(0b1110101) + '\x74' + '\x66' + chr(45) + chr(1176 - 1120)), type=M8_cKLkHVB2V)
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), '\x64' + '\145' + chr(99) + '\157' + chr(0b10000 + 0o124) + chr(0b1100101))(chr(117) + '\164' + chr(0b110 + 0o140) + chr(45) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xe9[h\xdb\xab\xc8E;\x94?U/\x10\x01'), '\x64' + '\145' + '\143' + chr(11821 - 11710) + '\144' + chr(101))('\165' + '\164' + '\146' + chr(0b101101) + chr(56)), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9\x9d\xf8F\x7f\xca\xef\xdcM!\x9b@C!\x16Ic\x01\xba\xbd\xc1\xa7\x94,\xcc\xe7U\x07..\xc5F\x1f0\xc2\xdd\xa8]\xa1\xf4'), '\x64' + '\145' + chr(99) + '\157' + '\x64' + chr(101))(chr(0b111101 + 0o70) + chr(0b1001101 + 0o47) + chr(9451 - 9349) + '\x2d' + '\x38'), default=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9\x9d\xf8F\x7f\xca\xbc\x9f\x1e-\xc0Rz=\r\x0ez\x06\xb6\xf9'), chr(0b1100100) + chr(5670 - 5569) + chr(0b1100011) + '\157' + chr(0b11101 + 0o107) + chr(0b1100101))(chr(0b1110101) + chr(1009 - 893) + chr(0b1100110) + '\055' + chr(0b110110 + 0o2)), type=M8_cKLkHVB2V)
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), '\x64' + '\x65' + '\143' + '\157' + chr(1195 - 1095) + chr(0b1100101))('\x75' + '\164' + '\x66' + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xef^o\xdd\xa4\xdcC<\x9d\x14z>\x05\x1d\x7f'), chr(100) + '\x65' + '\143' + chr(6302 - 6191) + chr(9805 - 9705) + '\x65')(chr(117) + chr(4003 - 3887) + chr(1927 - 1825) + chr(45) + '\x38'), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\x80\xe9Ua\xce\xa0\xc5B!\xd3\x13D8\r\x07pI\xaf\xfc\xd2\xaa\xda'), chr(0b1100100) + '\145' + chr(99) + chr(7568 - 7457) + chr(9805 - 9705) + chr(0b10111 + 0o116))('\165' + chr(0b1001010 + 0o52) + chr(102) + chr(0b10111 + 0o26) + chr(1242 - 1186)), default=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\x80\xe9Ua\xce\xa0\xc5B!\x80S\x176W[H\x1a\xb6\xfa\xcb\xad\x93-'), chr(100) + chr(0b1010000 + 0o25) + chr(0b110011 + 0o60) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(116) + chr(10028 - 9926) + '\x2d' + '\070'), type=M8_cKLkHVB2V)
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), '\144' + '\145' + chr(0b1100011) + chr(5918 - 5807) + '\144' + '\x65')(chr(0b101100 + 0o111) + chr(0b101110 + 0o106) + chr(0b101 + 0o141) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xe2Sl'), chr(0b1100100) + '\x65' + chr(1711 - 1612) + '\x6f' + chr(0b1010111 + 0o15) + chr(0b10 + 0o143))(chr(0b1101 + 0o150) + chr(3041 - 2925) + '\146' + chr(982 - 937) + chr(56)), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\x86\xefYn\xdb\xbd\x8cJ<\x9f\x14@<D\nx\x1c\xb1\xe9\x86\xab\x94i\xca\xeeDB,g\xd2X\tu\xca\xd8\xb8V\xb4'), chr(0b1001010 + 0o32) + chr(0b111101 + 0o50) + chr(7467 - 7368) + '\157' + chr(0b1100100) + '\145')(chr(117) + chr(116) + chr(5284 - 5182) + chr(0b101101) + chr(2754 - 2698)), default=ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(0b100010 + 0o16) + '\x30', ord("\x08")), type=ehT0Px3KOsy9)
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), chr(4722 - 4622) + '\145' + chr(4525 - 4426) + '\x6f' + chr(0b1100100) + chr(0b111110 + 0o47))(chr(0b1110101) + chr(0b1110100) + chr(5824 - 5722) + '\x2d' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xe2Rl'), '\x64' + chr(0b11001 + 0o114) + '\x63' + '\x6f' + '\144' + '\145')('\x75' + '\164' + chr(0b1100110) + '\x2d' + chr(56)), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\x81\xffUx\xd7\xa2\xc5B4\x87\x0fWn\x02\x00{\x1d\xba\xef\x86\xa1\x95<\xd0\xf2\x01\x0b$.\xd4C\x18u\xc0\xd0\xb3@\xb2\xa7\xfa\x89\xf5Sx'), chr(100) + '\145' + chr(6682 - 6583) + chr(111) + chr(8244 - 8144) + chr(0b1000011 + 0o42))(chr(9176 - 9059) + chr(0b1110000 + 0o4) + chr(6063 - 5961) + chr(319 - 274) + chr(1024 - 968)), default=ehT0Px3KOsy9(chr(0b110000) + chr(0b1010100 + 0o33) + chr(0b100010 + 0o17) + chr(1104 - 1056) + chr(0b10111 + 0o31), 8), type=ehT0Px3KOsy9)
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), chr(7741 - 7641) + '\145' + chr(0b1100011) + chr(0b1110 + 0o141) + '\144' + '\x65')(chr(0b100011 + 0o122) + chr(0b1111 + 0o145) + '\x66' + '\x2d' + chr(0b1100 + 0o54)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xe2Ql'), chr(0b110011 + 0o61) + '\x65' + chr(99) + '\157' + chr(8518 - 8418) + chr(0b1000 + 0o135))(chr(0b1001001 + 0o54) + '\164' + chr(0b1100110) + chr(0b10001 + 0o34) + '\070'), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1\x8d\xe2Sx\xdf\xbb\xc3^u\x95\tI:\x01\x1b7\n\xb0\xe8\xc8\xb6\xda \xd0\xa6U\n/.\xd3N\x1e:\xc8\xdd\xe1_\xa7\xf4\xe2\xc8\xe0Ws\xdb\xbd'), '\144' + chr(101) + chr(99) + '\x6f' + '\x64' + chr(1685 - 1584))(chr(11134 - 11017) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(56)), default=ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11000 + 0o31) + '\060' + '\x30', 8), type=ehT0Px3KOsy9)
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), '\144' + chr(101) + '\x63' + chr(0b1101111) + chr(4486 - 4386) + chr(101))('\x75' + '\x74' + chr(0b1100110) + chr(45) + chr(0b111000 + 0o0)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xe2U'), '\144' + '\145' + '\x63' + chr(0b1101111) + chr(0b1011011 + 0o11) + '\145')(chr(0b1100001 + 0o24) + '\164' + '\146' + chr(0b101101) + chr(0b111000)), help=xafqLlk3kkUe(SXOLrMavuUCe(b"\xf1\x8d\xe2Sx\xdf\xbb\xc3^u\x95\tI:\x01\x1b7\n\xb0\xe8\xc8\xb6\xda \xd0\xa6U\n/.\xccJ\x0e!\x86\xd5\xa0J\xa3\xf5\xb6\x81\xa2S$\x9e\xfe\x8cJ:\x81@B<\x05\x10d\n\xbe\xf1\xc3\xe2\x93$\xdf\xe1DNj=\x80M\x12'\x86\xeb\x86q\xe6\xee\xfb\x89\xebS"), '\144' + chr(0b1001110 + 0o27) + '\x63' + '\x6f' + chr(6387 - 6287) + '\145')(chr(8492 - 8375) + chr(116) + chr(102) + chr(415 - 370) + chr(0b111000)), default=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49), 0o10), type=ehT0Px3KOsy9)
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), '\x64' + chr(101) + chr(5895 - 5796) + chr(0b1010001 + 0o36) + chr(2354 - 2254) + '\x65')(chr(0b101011 + 0o112) + '\164' + '\146' + chr(0b100010 + 0o13) + chr(810 - 754)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xeeW~\xdd\xa7\xf3_<\x89\x05'), chr(0b1100100) + '\x65' + chr(5355 - 5256) + '\x6f' + '\x64' + chr(0b110100 + 0o61))(chr(11593 - 11476) + chr(0b111011 + 0o71) + chr(0b11001 + 0o115) + '\055' + chr(56)), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\x89\xf8Ub\x9e\xbc\xc5V0\xdf@N+\x01\x197\x00\xab\xbd\x97\xe2\x9e<\xcc\xefO\x05jz\xc5X\t<\xc8\xde'), '\x64' + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b1110 + 0o126) + chr(0b110 + 0o137))(chr(0b1101000 + 0o15) + chr(0b100 + 0o160) + chr(0b1010100 + 0o22) + '\x2d' + chr(0b10110 + 0o42)), default=ehT0Px3KOsy9('\x30' + chr(0b1100100 + 0o13) + chr(0b110001) + '\060' + chr(48), 8), type=ehT0Px3KOsy9)
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), chr(100) + chr(0b1100101) + chr(0b1010100 + 0o17) + chr(111) + chr(100) + chr(0b1100101))(chr(3671 - 3554) + chr(12332 - 12216) + chr(0b1010111 + 0o17) + chr(0b10001 + 0o34) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xd6'), '\144' + chr(101) + '\x63' + chr(111) + chr(0b1100100) + '\x65')('\165' + chr(116) + chr(0b1100110) + chr(0b10 + 0o53) + chr(0b111000 + 0o0)), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\x85\xeeSn\xda\xa6\xc2Ku\x80\t_+'), chr(0b101001 + 0o73) + '\145' + chr(0b1100011) + chr(111) + chr(100) + chr(101))('\x75' + chr(11822 - 11706) + chr(102) + chr(45) + chr(3134 - 3078)), default=ehT0Px3KOsy9(chr(300 - 252) + chr(9213 - 9102) + '\061' + '\x34' + '\x34', 8), type=ehT0Px3KOsy9)
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), chr(6648 - 6548) + '\145' + '\143' + '\157' + chr(100) + chr(0b10001 + 0o124))('\x75' + chr(0b1110 + 0o146) + chr(102) + chr(1343 - 1298) + chr(2732 - 2676)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xe0D'), '\144' + '\145' + '\x63' + chr(0b1101111) + chr(0b11 + 0o141) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(102) + '\x2d' + '\070'), help=xafqLlk3kkUe(SXOLrMavuUCe(b"\xfa\x8d\xedDd\xd7\xa1\xcb\x0c'\x92\x14@"), chr(7297 - 7197) + '\x65' + '\x63' + chr(111) + chr(5587 - 5487) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(0b111000)), default=0.0002, type=kkSX4ccExqw4)
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), chr(5435 - 5335) + '\145' + '\143' + chr(1314 - 1203) + chr(4326 - 4226) + chr(0b1100101))('\x75' + '\164' + chr(5876 - 5774) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xeeS~\xdf\xfe'), '\x64' + chr(0b100001 + 0o104) + chr(0b101100 + 0o67) + chr(0b1101100 + 0o3) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b111000 + 0o56) + chr(786 - 741) + chr(0b111000)), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\x8d\xf8W;\x9e\xa9\xc3^u\x92\x04D#D\x06g\x1d\xb6\xf0\xcf\xb8\x9f;'), chr(0b1100100) + '\145' + '\x63' + chr(0b1101111) + '\x64' + chr(0b1000111 + 0o36))('\165' + chr(10817 - 10701) + chr(0b111101 + 0o51) + chr(1815 - 1770) + chr(0b111000)), default=0.5, type=kkSX4ccExqw4)
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), chr(100) + '\145' + chr(2563 - 2464) + '\x6f' + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(10340 - 10238) + chr(0b10010 + 0o33) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xe9Fy\xd7\xa3\xc3B'), '\x64' + chr(7142 - 7041) + '\143' + '\x6f' + chr(8990 - 8890) + chr(0b1100101))('\165' + chr(0b1110100) + '\x66' + '\x2d' + chr(0b111000)), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\x98\xff_f\xd1\xa1\x8cJ:\x81@D*\x05\x047\x06\xaf\xe9\xcf\xaf\x933\xdb\xf4'), chr(100) + chr(101) + chr(0b1100011) + '\x6f' + '\x64' + chr(0b101000 + 0o75))('\x75' + chr(4683 - 4567) + chr(0b1100110) + chr(1074 - 1029) + '\070'), default=1e-05, type=kkSX4ccExqw4)
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), '\x64' + chr(101) + chr(99) + chr(0b1100000 + 0o17) + chr(0b1011110 + 0o6) + chr(101))(chr(0b1110101) + chr(116) + chr(102) + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xebin\xd2\x90\xdbI<\x94\x08Q'), chr(100) + chr(7350 - 7249) + chr(0b0 + 0o143) + '\157' + chr(0b11001 + 0o113) + chr(0b100100 + 0o101))(chr(3312 - 3195) + chr(0b1110100) + '\x66' + chr(1553 - 1508) + chr(947 - 891)), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\x81\xffUx\xd7\xa2\xc5B4\x87\x0fWn\x08\x08n\x0c\xad\xbd\xca\xad\x89:\x9e\xf1D\x0b-f\xd4'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b1000001 + 0o56) + chr(0b1000111 + 0o35) + chr(0b1001111 + 0o26))(chr(0b111011 + 0o72) + chr(0b1110100) + chr(9869 - 9767) + '\x2d' + '\x38'), default=0.1, type=kkSX4ccExqw4)
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(0b10000 + 0o137) + '\x64' + chr(101))('\x75' + chr(13126 - 13010) + chr(7150 - 7048) + '\x2d' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xebF\x7f'), chr(0b1100100) + '\x65' + chr(99) + chr(0b111010 + 0o65) + '\144' + '\x65')(chr(2652 - 2535) + '\164' + chr(102) + '\055' + '\070'), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1\x98\xf9\x16c\xd0\xab\xc9T'), chr(0b1100100) + '\x65' + '\x63' + chr(0b1101111) + chr(100) + '\x65')(chr(0b101111 + 0o106) + chr(116) + chr(0b1100110) + '\x2d' + '\x38'), default=ehT0Px3KOsy9('\x30' + chr(111) + '\x30', 0b1000), type=ehT0Px3KOsy9)
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), chr(0b1011111 + 0o5) + chr(3409 - 3308) + chr(0b111111 + 0o44) + '\157' + '\x64' + chr(0b1010100 + 0o21))(chr(0b1110101) + chr(0b1111 + 0o145) + '\146' + '\055' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xf9Eo\xe1\xac\xdcY'), '\x64' + chr(0b10 + 0o143) + chr(99) + chr(111) + '\x64' + chr(4691 - 4590))('\x75' + '\164' + chr(10020 - 9918) + '\x2d' + '\x38'), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\x9b\xe9\x16i\xce\xba'), chr(100) + chr(0b1100101) + '\143' + chr(0b1101111) + '\x64' + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(7477 - 7375) + chr(0b11100 + 0o21) + chr(56)), action=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\x9c\xe3Do\xe1\xbb\xdeY0'), chr(100) + chr(5316 - 5215) + chr(99) + '\157' + '\144' + '\x65')('\x75' + chr(0b1110100) + chr(2348 - 2246) + chr(0b101101) + chr(0b1100 + 0o54)))
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), chr(0b1100100) + chr(101) + '\143' + chr(111) + chr(6522 - 6422) + chr(0b11000 + 0o115))('\165' + chr(116) + chr(1683 - 1581) + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xe2Cg\xe1\xaa\xdcC6\x9b'), '\x64' + chr(0b1011 + 0o132) + chr(0b11100 + 0o107) + '\x6f' + '\x64' + '\145')('\x75' + chr(116) + chr(0b1100110) + chr(0b101101) + chr(0b111000)), help=xafqLlk3kkUe(SXOLrMavuUCe(b"\xf8\x9d\xe1To\xcc\xef\xc3Ju\x9e\x01]'\t\x1czI\xba\xed\xc9\xa1\x92:\x9e"), '\x64' + '\x65' + chr(8212 - 8113) + chr(0b1101111) + chr(0b100101 + 0o77) + chr(1140 - 1039))(chr(0b1001000 + 0o55) + chr(8776 - 8660) + '\x66' + chr(0b101001 + 0o4) + chr(56)), default=ehT0Px3KOsy9('\x30' + chr(0b1000111 + 0o50) + chr(0b110101) + chr(0b100111 + 0o16), 12352 - 12344), type=ehT0Px3KOsy9)
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), '\144' + chr(101) + '\143' + chr(6421 - 6310) + '\144' + chr(4041 - 3940))(chr(1084 - 967) + chr(238 - 122) + chr(102) + chr(0b101101) + chr(0b100101 + 0o23)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xffW|\xdb\x90\xcdJ!\x96\x12z+\x12\x0ce\x10'), '\x64' + chr(0b1100101) + chr(0b1010010 + 0o21) + chr(11506 - 11395) + chr(0b1100001 + 0o3) + chr(3385 - 3284))(chr(117) + chr(0b1100001 + 0o23) + chr(0b1100110) + chr(0b11001 + 0o24) + chr(56)), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\x89\xfaS*\xdd\xa7\xc9O>\x83\x0fL \x10Iv\x0f\xab\xf8\xd4\xe2\x9f?\xdb\xf4XB>f\xc9X];\xd3\xd4\xa3V\xb4\xa7\xf9\x8e\xacSz\xd1\xac\xc4_u'), '\144' + '\x65' + chr(1542 - 1443) + '\157' + '\x64' + '\x65')('\165' + chr(0b11100 + 0o130) + chr(0b1011001 + 0o15) + chr(1341 - 1296) + chr(831 - 775)), default=ehT0Px3KOsy9('\x30' + chr(111) + '\x35', 8591 - 8583), type=ehT0Px3KOsy9)
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), chr(0b10101 + 0o117) + '\x65' + chr(99) + chr(111) + chr(6904 - 6804) + '\145')(chr(8079 - 7962) + chr(11641 - 11525) + chr(1895 - 1793) + chr(0b101101) + chr(2321 - 2265)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xfa_y\xcb\xae\xc0E/\x96?D(\x10\x0ce6\xba\xeb\xc3\xb0\x83'), chr(0b1100100) + chr(0b101011 + 0o72) + chr(0b1100011) + chr(10724 - 10613) + chr(0b1001100 + 0o30) + '\x65')('\x75' + chr(1334 - 1218) + chr(0b1001010 + 0o34) + '\x2d' + '\070'), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\x89\xfaS*\xd1\xba\xd8\\ \x87@L#\x05\x0er\x1a\xff\xfc\xc0\xb6\x9f;\x9e\xe3W\x078w\x80_\x15<\xd5\x99\xafF\xab\xe5\xf3\x9a\xacYl\x9e\xaa\xdcC6\x9b\x13'), chr(0b11001 + 0o113) + chr(101) + '\143' + chr(0b1101111) + '\144' + '\x65')(chr(117) + chr(0b1001010 + 0o52) + '\x66' + chr(0b101101) + chr(0b11101 + 0o33)), default=ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(53), 8), type=ehT0Px3KOsy9)
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8c\xe8ik\xcc\xa8\xd9A0\x9d\x14'), '\x64' + chr(5860 - 5759) + chr(99) + chr(0b1101111) + '\144' + chr(0b1100101))('\x75' + chr(0b1110100) + '\x66' + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xc5\xff^e\xc9\x90\xcdJ!\x96\x12z+\x12\x0ce\x10'), '\x64' + chr(4399 - 4298) + '\143' + chr(0b111111 + 0o60) + chr(0b1011000 + 0o14) + chr(0b1001 + 0o134))(chr(0b1110101) + '\164' + chr(102) + '\055' + chr(0b11010 + 0o36)), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\x80\xe3A*\xd3\xaa\xd8^<\x90\x13\x05/\x02\x1dr\x1b\xff\xe9\xce\xab\x89i\xd0\xf3L\x00/|\x80D\x1bu\xcf\xcd\xa4A\xa7\xf3\xff\x87\xe2E'), chr(0b1100100) + chr(7890 - 7789) + chr(0b1010111 + 0o14) + chr(0b101011 + 0o104) + chr(2460 - 2360) + '\x65')('\x75' + chr(4441 - 4325) + chr(0b1001011 + 0o33) + chr(468 - 423) + '\x38'), default=ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1000111 + 0o50) + '\061' + chr(0b110010), 8), type=ehT0Px3KOsy9)
kJDRfRhcZHjS = uvsdWIii6oeC.parse_args()
return kJDRfRhcZHjS
|
apache/incubator-mxnet
|
example/gluon/house_prices/kaggle_k_fold_cross_validation.py
|
get_rmse_log
|
def get_rmse_log(net, X_train, y_train):
"""Gets root mse between the logarithms of the prediction and the truth."""
num_train = X_train.shape[0]
clipped_preds = nd.clip(net(X_train), 1, float('inf'))
return np.sqrt(2 * nd.sum(square_loss(
nd.log(clipped_preds), nd.log(y_train))).asscalar() / num_train)
|
python
|
def get_rmse_log(net, X_train, y_train):
"""Gets root mse between the logarithms of the prediction and the truth."""
num_train = X_train.shape[0]
clipped_preds = nd.clip(net(X_train), 1, float('inf'))
return np.sqrt(2 * nd.sum(square_loss(
nd.log(clipped_preds), nd.log(y_train))).asscalar() / num_train)
|
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Gets root mse between the logarithms of the prediction and the truth.
|
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/house_prices/kaggle_k_fold_cross_validation.py#L66-L71
|
train
|
Gets root mse between the logarithms of the prediction and the truth.
|
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(109 - 60) + chr(0b111 + 0o60), ord("\x08")), ehT0Px3KOsy9('\060' + chr(10253 - 10142) + chr(0b100110 + 0o14) + '\x36' + chr(53), 14499 - 14491), ehT0Px3KOsy9('\060' + '\157' + chr(934 - 885) + chr(0b101100 + 0o7) + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(0b110001) + chr(1123 - 1075), 11947 - 11939), ehT0Px3KOsy9('\060' + chr(7701 - 7590) + chr(1608 - 1559) + chr(55) + '\x34', 30219 - 30211), ehT0Px3KOsy9('\060' + chr(111) + chr(388 - 337) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(286 - 238) + '\x6f' + chr(49) + chr(0b1001 + 0o52), 0b1000), ehT0Px3KOsy9(chr(1406 - 1358) + '\x6f' + chr(0b110011) + '\067' + chr(852 - 803), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1915 - 1865) + chr(319 - 269) + chr(2461 - 2410), 63116 - 63108), ehT0Px3KOsy9('\x30' + chr(0b101 + 0o152) + chr(0b1 + 0o60) + '\x35' + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + '\061' + '\063', 8), ehT0Px3KOsy9('\060' + chr(0b1011111 + 0o20) + '\x32' + chr(2830 - 2775) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(4618 - 4507) + chr(49) + chr(48), 0b1000), ehT0Px3KOsy9(chr(2024 - 1976) + '\157' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(49) + chr(0b110001 + 0o1) + chr(0b100011 + 0o15), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100 + 0o56) + chr(0b110111) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(9530 - 9419) + chr(0b100011 + 0o20) + chr(0b110011) + chr(2425 - 2370), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1691 - 1640) + chr(0b110000) + chr(0b10001 + 0o37), 21515 - 21507), ehT0Px3KOsy9(chr(1848 - 1800) + '\157' + chr(2309 - 2260) + chr(54) + chr(0b11 + 0o56), 47575 - 47567), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\x33' + chr(0b110011), 32077 - 32069), ehT0Px3KOsy9(chr(0b110000) + chr(0b111100 + 0o63) + chr(722 - 672) + chr(49) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(0b10 + 0o64) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100001 + 0o22) + '\065' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + '\x33' + '\060' + chr(0b1011 + 0o45), 8), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(51) + chr(0b101000 + 0o12) + chr(53), 68 - 60), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + chr(51) + chr(0b101000 + 0o12) + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(820 - 772), 0o10), ehT0Px3KOsy9(chr(508 - 460) + chr(111) + '\062' + '\062' + chr(0b100000 + 0o23), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\065' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + chr(0b110001) + '\063' + chr(48), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b110100) + chr(1113 - 1065), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100001 + 0o22) + chr(0b110011) + chr(0b110001), 45365 - 45357), ehT0Px3KOsy9(chr(541 - 493) + chr(0b1101111) + chr(51) + chr(0b10111 + 0o34) + chr(2034 - 1986), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\067' + chr(1338 - 1287), 20555 - 20547), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1362 - 1251) + chr(2041 - 1991) + chr(0b110001) + chr(55), 8947 - 8939), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(6040 - 5929) + chr(0b11011 + 0o27) + '\065' + chr(0b11000 + 0o37), 17926 - 17918), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(53) + chr(1224 - 1172), 0b1000), ehT0Px3KOsy9(chr(1073 - 1025) + chr(0b1101111) + chr(1493 - 1442) + '\060' + '\x34', 18430 - 18422)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2172 - 2124) + chr(0b1101111) + chr(0b10110 + 0o37) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'!'), '\x64' + chr(0b110000 + 0o65) + chr(99) + '\x6f' + chr(0b1100100) + chr(2320 - 2219))('\x75' + chr(6497 - 6381) + chr(0b111010 + 0o54) + chr(0b1001 + 0o44) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def zAenRbCaxaCV(DyzboKL9cczb, lBVWpm3twnT0, xz6TaFcNOBti):
KdDDB2ru4dFK = lBVWpm3twnT0.nauYfLglTpcb[ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110000 + 0o0), 8)]
eOFMltCtIheW = Vy_CFRcuYrTj.H8HUQmIerer7(DyzboKL9cczb(lBVWpm3twnT0), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31', 0o10), kkSX4ccExqw4(xafqLlk3kkUe(SXOLrMavuUCe(b'f\xdb='), '\x64' + chr(9676 - 9575) + chr(0b100100 + 0o77) + chr(3214 - 3103) + chr(0b1100100) + chr(101))('\165' + '\164' + chr(0b1000110 + 0o40) + chr(45) + '\x38')))
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'|\xc4)\xfc'), '\144' + chr(0b1001110 + 0o27) + chr(2004 - 1905) + '\157' + chr(100) + chr(0b1100101))('\165' + '\x74' + '\x66' + chr(0b101101) + chr(56)))(ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b10100 + 0o133) + chr(713 - 663), 8) * xafqLlk3kkUe(Vy_CFRcuYrTj.sum(MfTVLP82wPma(Vy_CFRcuYrTj.log(eOFMltCtIheW), Vy_CFRcuYrTj.log(xz6TaFcNOBti))), xafqLlk3kkUe(SXOLrMavuUCe(b'n\xc6(\xeb\x1dpj\x8b'), chr(1732 - 1632) + chr(0b101101 + 0o70) + '\x63' + chr(0b1101111) + '\144' + '\x65')(chr(117) + '\x74' + chr(4244 - 4142) + chr(0b101101) + '\x38'))() / KdDDB2ru4dFK)
|
apache/incubator-mxnet
|
example/gluon/house_prices/kaggle_k_fold_cross_validation.py
|
get_net
|
def get_net():
"""Gets a neural network. Better results are obtained with modifications."""
net = gluon.nn.Sequential()
with net.name_scope():
net.add(gluon.nn.Dense(50, activation="relu"))
net.add(gluon.nn.Dense(1))
net.initialize()
return net
|
python
|
def get_net():
"""Gets a neural network. Better results are obtained with modifications."""
net = gluon.nn.Sequential()
with net.name_scope():
net.add(gluon.nn.Dense(50, activation="relu"))
net.add(gluon.nn.Dense(1))
net.initialize()
return net
|
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] |
Gets a neural network. Better results are obtained with modifications.
|
[
"Gets",
"a",
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"network",
".",
"Better",
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"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/house_prices/kaggle_k_fold_cross_validation.py#L73-L80
|
train
|
Gets a neural network. Better results are obtained with modifications.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + chr(0b100110 + 0o15) + chr(0b110111) + '\065', 17269 - 17261), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b110100) + chr(2587 - 2535), 34853 - 34845), ehT0Px3KOsy9('\x30' + chr(0b1100 + 0o143) + chr(0b110 + 0o55) + '\061', 64709 - 64701), ehT0Px3KOsy9(chr(0b110000) + chr(2190 - 2079) + chr(1774 - 1725) + chr(55), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + '\065' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(907 - 857) + chr(1698 - 1646) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(223 - 112) + chr(1312 - 1261) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2662 - 2610) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\x32' + chr(0b11000 + 0o34), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(1639 - 1591) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(48) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + '\x36' + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\x30' + chr(2801 - 2748), 0o10), ehT0Px3KOsy9(chr(172 - 124) + chr(0b111001 + 0o66) + '\x31' + chr(0b110010) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(464 - 414) + chr(52), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(53) + chr(0b110010), 12753 - 12745), ehT0Px3KOsy9(chr(1853 - 1805) + chr(0b100011 + 0o114) + '\x32' + chr(865 - 810), 0o10), ehT0Px3KOsy9(chr(2129 - 2081) + chr(0b11101 + 0o122) + '\x32' + '\067' + chr(0b10011 + 0o41), 0o10), ehT0Px3KOsy9(chr(327 - 279) + '\157' + '\x33' + '\x34' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(2385 - 2334) + '\x33' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b110001) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10001 + 0o136) + chr(0b110010) + chr(0b110010) + chr(1093 - 1038), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(50) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(1312 - 1262) + '\061' + chr(0b100111 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(2151 - 2103) + chr(0b1101111) + chr(0b1000 + 0o52) + '\062' + chr(0b10110 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(5449 - 5338) + chr(1512 - 1460) + chr(1440 - 1389), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b0 + 0o64) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11000 + 0o127) + chr(0b110011) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(2097 - 2049), 0o10), ehT0Px3KOsy9(chr(808 - 760) + chr(0b101110 + 0o101) + '\x37' + chr(0b110010), 50988 - 50980), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + chr(50) + '\x32' + chr(48), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b101010 + 0o10) + chr(1274 - 1226), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1688 - 1634), 32808 - 32800), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + chr(0b1 + 0o61) + chr(0b10011 + 0o44) + '\x33', 32863 - 32855), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(52) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b10001 + 0o42) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110101) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1110 + 0o44) + chr(49) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(0b101011 + 0o11) + chr(2665 - 2613), 1648 - 1640)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101) + chr(0b100000 + 0o20), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3'), chr(6902 - 6802) + chr(101) + chr(4306 - 4207) + chr(111) + '\x64' + chr(0b1100101))(chr(0b111011 + 0o72) + chr(0b1110100) + chr(102) + chr(0b101 + 0o50) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Zy8gWOPCn6Ab():
DyzboKL9cczb = Bm3NCCYMMXjd.nn.Sequential()
with xafqLlk3kkUe(DyzboKL9cczb, xafqLlk3kkUe(SXOLrMavuUCe(b'\x93\xc5tj3\xd6xH$\xe5'), '\144' + chr(543 - 442) + chr(99) + chr(0b1101111) + '\x64' + chr(4996 - 4895))(chr(0b1110101) + chr(0b100011 + 0o121) + chr(102) + chr(45) + chr(56)))():
xafqLlk3kkUe(DyzboKL9cczb, xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\xee)~U\xc6\\\x12\x0e\xcf\x90E'), chr(700 - 600) + '\x65' + '\143' + chr(0b1101001 + 0o6) + chr(0b1001111 + 0o25) + chr(101))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(45) + '\070'))(xafqLlk3kkUe(Bm3NCCYMMXjd.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\xc1w|\t'), '\144' + '\x65' + '\x63' + chr(0b1101111) + '\144' + chr(5955 - 5854))(chr(0b1110101) + '\x74' + '\146' + '\x2d' + '\070'))(ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b100110 + 0o111) + chr(0b110110) + chr(0b110010), 0b1000), activation=xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xc1uz'), '\144' + '\x65' + chr(3208 - 3109) + chr(0b1101111) + chr(0b110000 + 0o64) + '\145')(chr(0b1110101) + '\164' + '\146' + '\x2d' + chr(56))))
xafqLlk3kkUe(DyzboKL9cczb, xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\xee)~U\xc6\\\x12\x0e\xcf\x90E'), '\x64' + '\145' + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(0b0 + 0o145))(chr(0b1110101) + chr(2669 - 2553) + '\x66' + '\055' + '\x38'))(xafqLlk3kkUe(Bm3NCCYMMXjd.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\xc1w|\t'), chr(8989 - 8889) + '\x65' + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(0b11101 + 0o130) + chr(116) + chr(102) + chr(0b11111 + 0o16) + '\x38'))(ehT0Px3KOsy9(chr(2151 - 2103) + '\x6f' + chr(0b110001), ord("\x08"))))
xafqLlk3kkUe(DyzboKL9cczb, xafqLlk3kkUe(SXOLrMavuUCe(b'\x94\xcap{\x05\xc4wN.\xe5'), '\144' + '\145' + '\x63' + chr(9387 - 9276) + '\144' + chr(5348 - 5247))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(0b101101 + 0o0) + chr(0b111000)))()
return DyzboKL9cczb
|
apache/incubator-mxnet
|
example/gluon/house_prices/kaggle_k_fold_cross_validation.py
|
train
|
def train(net, X_train, y_train, epochs, verbose_epoch, learning_rate,
weight_decay, batch_size):
"""Trains the model."""
dataset_train = gluon.data.ArrayDataset(X_train, y_train)
data_iter_train = gluon.data.DataLoader(dataset_train, batch_size,
shuffle=True)
trainer = gluon.Trainer(net.collect_params(), 'adam',
{'learning_rate': learning_rate,
'wd': weight_decay})
net.initialize(force_reinit=True)
for epoch in range(epochs):
for data, label in data_iter_train:
with autograd.record():
output = net(data)
loss = square_loss(output, label)
loss.backward()
trainer.step(batch_size)
avg_loss = get_rmse_log(net, X_train, y_train)
if epoch > verbose_epoch:
print("Epoch %d, train loss: %f" % (epoch, avg_loss))
return avg_loss
|
python
|
def train(net, X_train, y_train, epochs, verbose_epoch, learning_rate,
weight_decay, batch_size):
"""Trains the model."""
dataset_train = gluon.data.ArrayDataset(X_train, y_train)
data_iter_train = gluon.data.DataLoader(dataset_train, batch_size,
shuffle=True)
trainer = gluon.Trainer(net.collect_params(), 'adam',
{'learning_rate': learning_rate,
'wd': weight_decay})
net.initialize(force_reinit=True)
for epoch in range(epochs):
for data, label in data_iter_train:
with autograd.record():
output = net(data)
loss = square_loss(output, label)
loss.backward()
trainer.step(batch_size)
avg_loss = get_rmse_log(net, X_train, y_train)
if epoch > verbose_epoch:
print("Epoch %d, train loss: %f" % (epoch, avg_loss))
return avg_loss
|
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Trains the model.
|
[
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/house_prices/kaggle_k_fold_cross_validation.py#L82-L102
|
train
|
Trains 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(48) + chr(111) + chr(50) + chr(0b101011 + 0o13) + chr(0b10000 + 0o47), 9504 - 9496), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(0b110000) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b11100 + 0o32) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + '\061' + chr(0b1101 + 0o52) + chr(1320 - 1272), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(978 - 927) + chr(49) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(1494 - 1445) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(997 - 886) + '\x33' + chr(1666 - 1614) + chr(0b11000 + 0o36), 0o10), ehT0Px3KOsy9('\x30' + chr(0b111100 + 0o63) + chr(49) + chr(1164 - 1113) + chr(1250 - 1201), 10870 - 10862), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10101 + 0o37) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100101 + 0o112) + chr(0b101110 + 0o4) + '\x37' + '\064', 0b1000), ehT0Px3KOsy9(chr(1677 - 1629) + '\157' + chr(51) + '\061' + chr(0b101101 + 0o6), 50850 - 50842), ehT0Px3KOsy9(chr(101 - 53) + '\157' + chr(0b100011 + 0o20) + '\066' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(0b110 + 0o55) + chr(0b110100) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2368 - 2318) + '\061' + chr(667 - 616), 0b1000), ehT0Px3KOsy9(chr(1732 - 1684) + '\x6f' + chr(0b110110) + chr(0b11101 + 0o25), 0b1000), ehT0Px3KOsy9(chr(1854 - 1806) + chr(111) + '\x33' + '\x30' + chr(53), 63488 - 63480), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110000 + 0o1) + chr(0b110100) + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(0b110100) + chr(48), 27242 - 27234), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + '\061' + '\060' + '\067', 8), ehT0Px3KOsy9(chr(526 - 478) + '\157' + chr(0b11100 + 0o27) + chr(0b101000 + 0o14) + chr(0b11001 + 0o31), 8), ehT0Px3KOsy9(chr(1094 - 1046) + chr(111) + chr(0b110010) + chr(55) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1871 - 1822) + '\x33' + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b110 + 0o53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\x37' + chr(0b100011 + 0o15), 8), ehT0Px3KOsy9(chr(2181 - 2133) + '\157' + chr(1176 - 1126) + '\x35' + chr(51), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(2724 - 2669) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b111010 + 0o65) + chr(50) + chr(48) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110101) + chr(0b101101 + 0o6), 0o10), ehT0Px3KOsy9(chr(1458 - 1410) + chr(0b1101111) + chr(0b110 + 0o54) + chr(0b110001) + chr(0b100011 + 0o23), 8), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1100010 + 0o15) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(887 - 839) + chr(0b1101111) + '\x32' + chr(0b10001 + 0o45) + chr(0b100010 + 0o16), 20298 - 20290), ehT0Px3KOsy9(chr(0b110000) + chr(11260 - 11149) + chr(0b11101 + 0o32) + chr(48), 6045 - 6037), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100110 + 0o15) + '\067' + chr(0b100 + 0o54), 30257 - 30249), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(2313 - 2264) + chr(61 - 12) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b101001 + 0o106) + '\x32' + '\061' + chr(748 - 698), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b100101 + 0o13) + chr(0b11000 + 0o32), 14784 - 14776), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\x37' + chr(0b11111 + 0o23), 21580 - 21572), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + '\x32' + chr(0b110000), 8), ehT0Px3KOsy9(chr(1855 - 1807) + chr(0b101101 + 0o102) + chr(2050 - 1999) + chr(0b100011 + 0o17), 25816 - 25808)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110101) + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x99'), chr(100) + chr(6258 - 6157) + chr(0b111111 + 0o44) + '\x6f' + chr(0b1100100) + chr(0b110110 + 0o57))(chr(13239 - 13122) + '\164' + chr(102) + chr(0b1001 + 0o44) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def e80gRioCjdat(DyzboKL9cczb, lBVWpm3twnT0, xz6TaFcNOBti, xvDB7qObFSrr, Z4ubFzQsjVC9, QGSIpd_yUNzU, eB4rJl6fUxw9, ix9dZyeAmUxY):
cEOKbceggyQR = Bm3NCCYMMXjd.data.ArrayDataset(lBVWpm3twnT0, xz6TaFcNOBti)
TOk0TRJF7a7q = Bm3NCCYMMXjd.data.DataLoader(cEOKbceggyQR, ix9dZyeAmUxY, shuffle=ehT0Px3KOsy9('\x30' + chr(0b1011 + 0o144) + chr(0b110001), ord("\x08")))
ehTF8dweL_Oo = Bm3NCCYMMXjd.Trainer(DyzboKL9cczb.collect_params(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6#\x90\x15'), chr(5126 - 5026) + chr(7864 - 7763) + '\x63' + chr(111) + chr(100) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(0b111100 + 0o52) + '\055' + '\x38'), {xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb"\x90\n\xa7\xe7\x88>}\xce\xaa\x82\x87'), chr(0b11100 + 0o110) + '\x65' + '\143' + chr(0b1010110 + 0o31) + chr(100) + chr(101))(chr(492 - 375) + '\x74' + chr(102) + chr(0b101101) + chr(0b111000)): QGSIpd_yUNzU, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0#'), chr(800 - 700) + '\x65' + '\143' + '\157' + '\x64' + chr(0b1100101))(chr(117) + '\x74' + chr(5360 - 5258) + chr(0b10 + 0o53) + '\x38'): eB4rJl6fUxw9})
xafqLlk3kkUe(DyzboKL9cczb, xafqLlk3kkUe(SXOLrMavuUCe(b'\xde)\x98\x0c\xa0\xef\x8a0X\xd9'), '\144' + '\x65' + '\143' + chr(0b1101111) + '\x64' + '\x65')(chr(4118 - 4001) + chr(0b1110100) + chr(1840 - 1738) + chr(0b1101 + 0o40) + '\070'))(force_reinit=ehT0Px3KOsy9('\060' + '\157' + chr(0b110001), 8))
for LWTVW06OsTjl in vQr8gNKaIaWE(xvDB7qObFSrr):
for (ULnjp6D6efFH, TRUOLFLuD08x) in TOk0TRJF7a7q:
with xafqLlk3kkUe(EGX9rjIuh37Q, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5"\x92\x17\xbb\xea'), '\144' + chr(0b1100101) + '\x63' + chr(0b1101111) + '\144' + chr(0b101010 + 0o73))(chr(0b1110101) + '\x74' + chr(0b1100110 + 0o0) + '\x2d' + chr(1790 - 1734)))():
e1jVqMSBZ01Y = DyzboKL9cczb(ULnjp6D6efFH)
YpO0BcZ6fMsf = MfTVLP82wPma(e1jVqMSBZ01Y, TRUOLFLuD08x)
xafqLlk3kkUe(YpO0BcZ6fMsf, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5&\x92\x13\xbe\xef\x94='), chr(0b1100100) + chr(0b1010101 + 0o20) + '\143' + chr(0b1101111) + '\144' + chr(0b1100101))(chr(117) + '\x74' + chr(102) + chr(45) + chr(0b0 + 0o70)))()
xafqLlk3kkUe(ehTF8dweL_Oo, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc\x03\x84>\xba\xcf\x8e\x1cC\xc8\xa8\xa3'), chr(3955 - 3855) + '\x65' + '\x63' + '\157' + chr(0b1100100) + chr(7975 - 7874))('\x75' + chr(116) + chr(0b1001100 + 0o32) + chr(45) + '\070'))(ix9dZyeAmUxY)
unw5JutXkfbm = zAenRbCaxaCV(DyzboKL9cczb, lBVWpm3twnT0, xz6TaFcNOBti)
if LWTVW06OsTjl > Z4ubFzQsjVC9:
zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf27\x9e\x1b\xa1\xae\xc3=\x0e\x9c\xbf\x84\x83\xe2\\\xe5\n\x0f4\x91\x85x4\x1e'), chr(0b1100100) + chr(101) + chr(0b110100 + 0o57) + chr(0b1101111) + '\144' + '\145')(chr(0b1011101 + 0o30) + '\x74' + '\x66' + chr(45) + chr(361 - 305)) % (LWTVW06OsTjl, unw5JutXkfbm))
return unw5JutXkfbm
|
apache/incubator-mxnet
|
example/gluon/house_prices/kaggle_k_fold_cross_validation.py
|
k_fold_cross_valid
|
def k_fold_cross_valid(k, epochs, verbose_epoch, X_train, y_train,
learning_rate, weight_decay, batch_size):
"""Conducts k-fold cross validation for the model."""
assert k > 1
fold_size = X_train.shape[0] // k
train_loss_sum = 0.0
test_loss_sum = 0.0
for test_idx in range(k):
X_val_test = X_train[test_idx * fold_size: (test_idx + 1) *
fold_size, :]
y_val_test = y_train[test_idx * fold_size: (test_idx + 1) * fold_size]
val_train_defined = False
for i in range(k):
if i != test_idx:
X_cur_fold = X_train[i * fold_size: (i + 1) * fold_size, :]
y_cur_fold = y_train[i * fold_size: (i + 1) * fold_size]
if not val_train_defined:
X_val_train = X_cur_fold
y_val_train = y_cur_fold
val_train_defined = True
else:
X_val_train = nd.concat(X_val_train, X_cur_fold, dim=0)
y_val_train = nd.concat(y_val_train, y_cur_fold, dim=0)
net = get_net()
train_loss = train(net, X_val_train, y_val_train, epochs, verbose_epoch,
learning_rate, weight_decay, batch_size)
train_loss_sum += train_loss
test_loss = get_rmse_log(net, X_val_test, y_val_test)
print("Test loss: %f" % test_loss)
test_loss_sum += test_loss
return train_loss_sum / k, test_loss_sum / k
|
python
|
def k_fold_cross_valid(k, epochs, verbose_epoch, X_train, y_train,
learning_rate, weight_decay, batch_size):
"""Conducts k-fold cross validation for the model."""
assert k > 1
fold_size = X_train.shape[0] // k
train_loss_sum = 0.0
test_loss_sum = 0.0
for test_idx in range(k):
X_val_test = X_train[test_idx * fold_size: (test_idx + 1) *
fold_size, :]
y_val_test = y_train[test_idx * fold_size: (test_idx + 1) * fold_size]
val_train_defined = False
for i in range(k):
if i != test_idx:
X_cur_fold = X_train[i * fold_size: (i + 1) * fold_size, :]
y_cur_fold = y_train[i * fold_size: (i + 1) * fold_size]
if not val_train_defined:
X_val_train = X_cur_fold
y_val_train = y_cur_fold
val_train_defined = True
else:
X_val_train = nd.concat(X_val_train, X_cur_fold, dim=0)
y_val_train = nd.concat(y_val_train, y_cur_fold, dim=0)
net = get_net()
train_loss = train(net, X_val_train, y_val_train, epochs, verbose_epoch,
learning_rate, weight_decay, batch_size)
train_loss_sum += train_loss
test_loss = get_rmse_log(net, X_val_test, y_val_test)
print("Test loss: %f" % test_loss)
test_loss_sum += test_loss
return train_loss_sum / k, test_loss_sum / k
|
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"epochs",
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",",
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"return",
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"/",
"k",
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] |
Conducts k-fold cross validation for the model.
|
[
"Conducts",
"k",
"-",
"fold",
"cross",
"validation",
"for",
"the",
"model",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/house_prices/kaggle_k_fold_cross_validation.py#L104-L135
|
train
|
Conducts k - fold cross validation for 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(48) + '\157' + chr(0b110010) + '\065' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x36' + chr(49), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(52) + chr(0b101 + 0o56), 0b1000), ehT0Px3KOsy9(chr(48) + chr(7234 - 7123) + chr(51) + chr(0b100001 + 0o22) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(2388 - 2336) + chr(1223 - 1168), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + '\x33' + chr(53), 25215 - 25207), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(663 - 613) + '\x31' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1001 + 0o52) + '\064' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11110 + 0o121) + '\x31' + chr(55) + '\x34', 0o10), ehT0Px3KOsy9(chr(1642 - 1594) + '\157' + chr(0b10010 + 0o41) + '\065' + chr(50), 9142 - 9134), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\063' + chr(0b1001 + 0o55), 0o10), ehT0Px3KOsy9(chr(423 - 375) + chr(111) + '\062' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(1592 - 1481) + chr(48), 61465 - 61457), ehT0Px3KOsy9(chr(2114 - 2066) + '\x6f' + chr(51) + chr(0b101100 + 0o5) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\x34' + '\x34', 9763 - 9755), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100000 + 0o21) + chr(0b10110 + 0o35), ord("\x08")), ehT0Px3KOsy9('\060' + chr(2319 - 2208) + chr(50) + chr(48), 42079 - 42071), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(9459 - 9348) + chr(0b10000 + 0o41) + chr(50), 16331 - 16323), ehT0Px3KOsy9(chr(0b110000) + chr(9964 - 9853) + '\063' + '\062' + chr(50), 41684 - 41676), ehT0Px3KOsy9('\x30' + '\x6f' + chr(933 - 882) + '\062' + chr(0b101111 + 0o7), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(0b100 + 0o56), ord("\x08")), ehT0Px3KOsy9(chr(1005 - 957) + chr(111) + '\x32' + chr(0b110001) + '\066', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b10001 + 0o44) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101111 + 0o4) + chr(52) + chr(0b11 + 0o56), 8453 - 8445), ehT0Px3KOsy9('\060' + chr(0b101110 + 0o101) + chr(0b100101 + 0o16) + chr(0b110011) + '\x34', 22702 - 22694), ehT0Px3KOsy9('\x30' + chr(580 - 469) + chr(0b110001 + 0o2) + chr(48) + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(8819 - 8708) + chr(1093 - 1044) + chr(0b110010) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(354 - 306) + chr(5493 - 5382) + '\065' + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1111 + 0o140) + chr(0b0 + 0o61) + '\x35' + chr(0b110001 + 0o2), 26769 - 26761), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100001 + 0o20) + '\061' + chr(0b100001 + 0o26), 0b1000), ehT0Px3KOsy9(chr(83 - 35) + chr(7953 - 7842) + '\x31' + chr(0b101000 + 0o17) + chr(995 - 947), 49136 - 49128), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(49), 40430 - 40422), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(0b110101) + '\065', 53717 - 53709), ehT0Px3KOsy9(chr(0b110000) + chr(0b10000 + 0o137) + '\063' + chr(0b1 + 0o66) + chr(0b110001), 14883 - 14875), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(1380 - 1329) + '\x33' + chr(0b100100 + 0o23), 0b1000), ehT0Px3KOsy9(chr(1949 - 1901) + '\157' + chr(55) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(1789 - 1736) + '\064', 0o10), ehT0Px3KOsy9(chr(1813 - 1765) + chr(0b1101111) + chr(0b110010) + chr(0b110100) + chr(0b1 + 0o65), 41119 - 41111), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\062' + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b100101 + 0o112) + chr(51) + '\064' + chr(48), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(9083 - 8972) + chr(0b10000 + 0o45) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x85'), chr(100) + chr(0b1010001 + 0o24) + chr(7472 - 7373) + chr(0b1101111) + chr(0b1100100) + '\x65')('\x75' + '\x74' + chr(8366 - 8264) + chr(0b101101) + chr(0b101111 + 0o11)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ykMZMNlFSePC(OolUPRJhRaJd, xvDB7qObFSrr, Z4ubFzQsjVC9, lBVWpm3twnT0, xz6TaFcNOBti, QGSIpd_yUNzU, eB4rJl6fUxw9, ix9dZyeAmUxY):
assert OolUPRJhRaJd > ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061', ord("\x08"))
vTLf6Hnv_tkQ = lBVWpm3twnT0.nauYfLglTpcb[ehT0Px3KOsy9('\060' + chr(111) + '\060', 8)] // OolUPRJhRaJd
pbxHNvBun1kH = 0.0
YZHPDmIcrrVj = 0.0
for zndo_YOazQrv in vQr8gNKaIaWE(OolUPRJhRaJd):
fDYLicin74cg = lBVWpm3twnT0[zndo_YOazQrv * vTLf6Hnv_tkQ:(zndo_YOazQrv + ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49), 8)) * vTLf6Hnv_tkQ, :]
fct8gzYqHrzX = xz6TaFcNOBti[zndo_YOazQrv * vTLf6Hnv_tkQ:(zndo_YOazQrv + ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101000 + 0o11), 8)) * vTLf6Hnv_tkQ]
AB0R4GsmnJwo = ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + '\060', 8)
for WVxHKyX45z_L in vQr8gNKaIaWE(OolUPRJhRaJd):
if WVxHKyX45z_L != zndo_YOazQrv:
GATgJu5O4mgm = lBVWpm3twnT0[WVxHKyX45z_L * vTLf6Hnv_tkQ:(WVxHKyX45z_L + ehT0Px3KOsy9('\x30' + chr(111) + '\061', 8)) * vTLf6Hnv_tkQ, :]
aVKiU6XjQhFR = xz6TaFcNOBti[WVxHKyX45z_L * vTLf6Hnv_tkQ:(WVxHKyX45z_L + ehT0Px3KOsy9(chr(0b110000) + chr(0b11111 + 0o120) + '\x31', 8)) * vTLf6Hnv_tkQ]
if not AB0R4GsmnJwo:
wTmG1e73uS5T = GATgJu5O4mgm
UvaQxz57eV1I = aVKiU6XjQhFR
AB0R4GsmnJwo = ehT0Px3KOsy9(chr(48) + chr(0b1011000 + 0o27) + '\061', 8)
else:
wTmG1e73uS5T = Vy_CFRcuYrTj.concat(wTmG1e73uS5T, GATgJu5O4mgm, dim=ehT0Px3KOsy9(chr(48) + chr(111) + '\060', 8))
UvaQxz57eV1I = Vy_CFRcuYrTj.concat(UvaQxz57eV1I, aVKiU6XjQhFR, dim=ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10100 + 0o34), 8))
DyzboKL9cczb = Zy8gWOPCn6Ab()
OnWaMZxpbE48 = e80gRioCjdat(DyzboKL9cczb, wTmG1e73uS5T, UvaQxz57eV1I, xvDB7qObFSrr, Z4ubFzQsjVC9, QGSIpd_yUNzU, eB4rJl6fUxw9, ix9dZyeAmUxY)
pbxHNvBun1kH += OnWaMZxpbE48
vKBkblyJy_gq = zAenRbCaxaCV(DyzboKL9cczb, fDYLicin74cg, fct8gzYqHrzX)
zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xffT\x10\xadG1\xe1\x95\x0f\xd0~4f'), '\144' + chr(0b1011011 + 0o12) + '\x63' + chr(0b111010 + 0o65) + '\x64' + '\x65')(chr(0b1110101) + chr(0b110011 + 0o101) + chr(0b1100110) + chr(45) + '\x38') % vKBkblyJy_gq)
YZHPDmIcrrVj += vKBkblyJy_gq
return (pbxHNvBun1kH / OolUPRJhRaJd, YZHPDmIcrrVj / OolUPRJhRaJd)
|
apache/incubator-mxnet
|
example/gluon/house_prices/kaggle_k_fold_cross_validation.py
|
learn
|
def learn(epochs, verbose_epoch, X_train, y_train, test, learning_rate,
weight_decay, batch_size):
"""Trains the model and predicts on the test data set."""
net = get_net()
_ = train(net, X_train, y_train, epochs, verbose_epoch, learning_rate,
weight_decay, batch_size)
preds = net(X_test).asnumpy()
test['SalePrice'] = pd.Series(preds.reshape(1, -1)[0])
submission = pd.concat([test['Id'], test['SalePrice']], axis=1)
submission.to_csv('submission.csv', index=False)
|
python
|
def learn(epochs, verbose_epoch, X_train, y_train, test, learning_rate,
weight_decay, batch_size):
"""Trains the model and predicts on the test data set."""
net = get_net()
_ = train(net, X_train, y_train, epochs, verbose_epoch, learning_rate,
weight_decay, batch_size)
preds = net(X_test).asnumpy()
test['SalePrice'] = pd.Series(preds.reshape(1, -1)[0])
submission = pd.concat([test['Id'], test['SalePrice']], axis=1)
submission.to_csv('submission.csv', index=False)
|
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Trains the model and predicts on the test data set.
|
[
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"test",
"data",
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/house_prices/kaggle_k_fold_cross_validation.py#L152-L161
|
train
|
Trains the model and predicts on the test data set.
|
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(0b11110 + 0o121) + chr(1721 - 1670) + chr(0b110010) + chr(0b101110 + 0o10), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(983 - 933) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(897 - 847) + '\x30', 8), ehT0Px3KOsy9('\060' + chr(1305 - 1194) + '\x32' + chr(48) + '\x30', 0o10), ehT0Px3KOsy9(chr(235 - 187) + '\157' + chr(2547 - 2493) + chr(48), 20397 - 20389), ehT0Px3KOsy9(chr(1351 - 1303) + chr(8016 - 7905) + chr(219 - 170) + '\063' + '\x36', 52423 - 52415), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b111111 + 0o60) + chr(0b11 + 0o57) + '\062' + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(5925 - 5814) + chr(49) + chr(0b11001 + 0o34) + '\x32', 43191 - 43183), ehT0Px3KOsy9('\x30' + chr(10483 - 10372) + chr(53) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11615 - 11504) + '\061' + chr(48) + chr(0b101100 + 0o13), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110110) + '\x37', 13902 - 13894), ehT0Px3KOsy9('\060' + chr(3815 - 3704) + '\x32' + chr(2602 - 2550) + chr(48), 0o10), ehT0Px3KOsy9(chr(1429 - 1381) + chr(111) + '\x31' + chr(850 - 796) + '\x32', 46260 - 46252), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + chr(49) + '\x33', 33616 - 33608), ehT0Px3KOsy9('\060' + '\x6f' + chr(1014 - 965) + '\065' + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b110100) + '\x35', 0o10), ehT0Px3KOsy9(chr(724 - 676) + chr(1643 - 1532) + chr(0b101001 + 0o12) + chr(0b100000 + 0o21) + chr(1026 - 973), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(1079 - 1026) + chr(0b110010), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(2672 - 2620) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + chr(0b11000 + 0o33) + chr(0b110101) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\x34' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(0b110001) + '\062' + chr(54), 14056 - 14048), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11010 + 0o30) + chr(0b11100 + 0o25) + chr(0b1 + 0o65), 63099 - 63091), ehT0Px3KOsy9(chr(48) + chr(6114 - 6003) + chr(0b0 + 0o62) + chr(313 - 261) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1502 - 1450) + '\x31', 59721 - 59713), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(1402 - 1348) + chr(1134 - 1082), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(0b11010 + 0o32) + chr(0b1100 + 0o53), 10803 - 10795), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(683 - 633) + '\066' + chr(978 - 930), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11001 + 0o31) + '\x31' + chr(2526 - 2474), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(2314 - 2263) + chr(0b100111 + 0o11), 47792 - 47784), ehT0Px3KOsy9('\x30' + chr(1221 - 1110) + chr(1202 - 1152) + '\x32' + chr(0b11010 + 0o35), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(229 - 179) + chr(49) + chr(2539 - 2485), 8), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + chr(0b110010) + chr(1034 - 981) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10101 + 0o36) + chr(0b110011) + chr(1733 - 1683), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111000 + 0o67) + chr(50) + '\x36' + chr(89 - 39), 0o10), ehT0Px3KOsy9(chr(741 - 693) + chr(111) + chr(49) + chr(0b10101 + 0o41) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(927 - 874) + chr(0b101011 + 0o7), 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + '\062' + '\067' + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(2080 - 2030) + '\061' + chr(0b101111 + 0o3), 662 - 654)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + '\065' + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8'), chr(830 - 730) + chr(0b1100101) + '\x63' + chr(111) + chr(0b1100100) + chr(5845 - 5744))('\165' + chr(116) + chr(0b1100110) + chr(0b10 + 0o53) + chr(0b101000 + 0o20)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def C6wSU7u_KSZF(xvDB7qObFSrr, Z4ubFzQsjVC9, lBVWpm3twnT0, xz6TaFcNOBti, o1nnuQUCchP4, QGSIpd_yUNzU, eB4rJl6fUxw9, ix9dZyeAmUxY):
DyzboKL9cczb = Zy8gWOPCn6Ab()
VNGQdHSFPrso = e80gRioCjdat(DyzboKL9cczb, lBVWpm3twnT0, xz6TaFcNOBti, xvDB7qObFSrr, Z4ubFzQsjVC9, QGSIpd_yUNzU, eB4rJl6fUxw9, ix9dZyeAmUxY)
rFir39ju85_Z = DyzboKL9cczb(iWSGU7PkZMSJ).asnumpy()
o1nnuQUCchP4[xafqLlk3kkUe(SXOLrMavuUCe(b'\x85q|\xe5`,\xfc\tK'), '\144' + chr(5035 - 4934) + '\143' + chr(7796 - 7685) + chr(0b1100100) + chr(0b101011 + 0o72))(chr(117) + chr(2305 - 2189) + chr(0b1100110) + chr(1594 - 1549) + chr(0b111000))] = dubtF9GfzOdC.Series(rFir39ju85_Z.reshape(ehT0Px3KOsy9('\x30' + '\x6f' + chr(49), 0o10), -ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + '\061', 8))[ehT0Px3KOsy9('\060' + chr(0b1101111) + '\060', 8)])
N4RdphoDQOZ3 = dubtF9GfzOdC.concat([o1nnuQUCchP4[xafqLlk3kkUe(SXOLrMavuUCe(b'\x9ft'), chr(100) + chr(6352 - 6251) + '\x63' + chr(111) + chr(0b1100100) + chr(0b1100101))('\x75' + '\164' + '\146' + chr(0b10110 + 0o27) + '\070')], o1nnuQUCchP4[xafqLlk3kkUe(SXOLrMavuUCe(b'\x85q|\xe5`,\xfc\tK'), '\x64' + chr(0b1100101) + chr(0b111100 + 0o47) + '\x6f' + chr(0b101111 + 0o65) + chr(101))(chr(3368 - 3251) + chr(116) + '\146' + chr(0b0 + 0o55) + chr(0b1000 + 0o60))]], axis=ehT0Px3KOsy9('\x30' + chr(111) + '\061', 8))
xafqLlk3kkUe(N4RdphoDQOZ3, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2\x7fO\xe3C('), '\144' + chr(0b100010 + 0o103) + chr(1523 - 1424) + chr(111) + chr(100) + '\x65')(chr(0b1110101) + chr(5198 - 5082) + chr(0b10111 + 0o117) + chr(45) + chr(0b101000 + 0o20)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5er\xedY-\xe6\x03A)\x19\xc3\x01v'), '\x64' + '\145' + chr(0b1100011) + chr(0b1101111) + chr(0b1101 + 0o127) + chr(0b1100101))('\165' + chr(3651 - 3535) + '\x66' + '\x2d' + chr(56)), index=ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101000 + 0o10), 8))
|
apache/incubator-mxnet
|
example/capsnet/capsulenet.py
|
capsnet
|
def capsnet(batch_size, n_class, num_routing, recon_loss_weight):
"""Create CapsNet"""
# data.shape = [batch_size, 1, 28, 28]
data = mx.sym.Variable('data')
input_shape = (1, 28, 28)
# Conv2D layer
# net.shape = [batch_size, 256, 20, 20]
conv1 = mx.sym.Convolution(data=data,
num_filter=256,
kernel=(9, 9),
layout='NCHW',
name='conv1')
conv1 = mx.sym.Activation(data=conv1, act_type='relu', name='conv1_act')
# net.shape = [batch_size, 256, 6, 6]
primarycaps = primary_caps(data=conv1,
dim_vector=8,
n_channels=32,
kernel=(9, 9),
strides=[2, 2],
name='primarycaps')
primarycaps.infer_shape(data=(batch_size, 1, 28, 28))
# CapsuleLayer
kernel_initializer = mx.init.Xavier(rnd_type='uniform', factor_type='avg', magnitude=3)
bias_initializer = mx.init.Zero()
digitcaps = CapsuleLayer(num_capsule=10,
dim_vector=16,
batch_size=batch_size,
kernel_initializer=kernel_initializer,
bias_initializer=bias_initializer,
num_routing=num_routing)(primarycaps)
# out_caps : (batch_size, 10)
out_caps = mx.sym.sqrt(data=mx.sym.sum(mx.sym.square(digitcaps), 2))
out_caps.infer_shape(data=(batch_size, 1, 28, 28))
y = mx.sym.Variable('softmax_label', shape=(batch_size,))
y_onehot = mx.sym.one_hot(y, n_class)
y_reshaped = mx.sym.Reshape(data=y_onehot, shape=(batch_size, -4, n_class, -1))
y_reshaped.infer_shape(softmax_label=(batch_size,))
# inputs_masked : (batch_size, 16)
inputs_masked = mx.sym.linalg_gemm2(y_reshaped, digitcaps, transpose_a=True)
inputs_masked = mx.sym.Reshape(data=inputs_masked, shape=(-3, 0))
x_recon = mx.sym.FullyConnected(data=inputs_masked, num_hidden=512, name='x_recon')
x_recon = mx.sym.Activation(data=x_recon, act_type='relu', name='x_recon_act')
x_recon = mx.sym.FullyConnected(data=x_recon, num_hidden=1024, name='x_recon2')
x_recon = mx.sym.Activation(data=x_recon, act_type='relu', name='x_recon_act2')
x_recon = mx.sym.FullyConnected(data=x_recon, num_hidden=np.prod(input_shape), name='x_recon3')
x_recon = mx.sym.Activation(data=x_recon, act_type='sigmoid', name='x_recon_act3')
data_flatten = mx.sym.flatten(data=data)
squared_error = mx.sym.square(x_recon-data_flatten)
recon_error = mx.sym.mean(squared_error)
recon_error_stopped = recon_error
recon_error_stopped = mx.sym.BlockGrad(recon_error_stopped)
loss = mx.symbol.MakeLoss((1-recon_loss_weight)*margin_loss(y_onehot, out_caps)+recon_loss_weight*recon_error)
out_caps_blocked = out_caps
out_caps_blocked = mx.sym.BlockGrad(out_caps_blocked)
return mx.sym.Group([out_caps_blocked, loss, recon_error_stopped])
|
python
|
def capsnet(batch_size, n_class, num_routing, recon_loss_weight):
"""Create CapsNet"""
# data.shape = [batch_size, 1, 28, 28]
data = mx.sym.Variable('data')
input_shape = (1, 28, 28)
# Conv2D layer
# net.shape = [batch_size, 256, 20, 20]
conv1 = mx.sym.Convolution(data=data,
num_filter=256,
kernel=(9, 9),
layout='NCHW',
name='conv1')
conv1 = mx.sym.Activation(data=conv1, act_type='relu', name='conv1_act')
# net.shape = [batch_size, 256, 6, 6]
primarycaps = primary_caps(data=conv1,
dim_vector=8,
n_channels=32,
kernel=(9, 9),
strides=[2, 2],
name='primarycaps')
primarycaps.infer_shape(data=(batch_size, 1, 28, 28))
# CapsuleLayer
kernel_initializer = mx.init.Xavier(rnd_type='uniform', factor_type='avg', magnitude=3)
bias_initializer = mx.init.Zero()
digitcaps = CapsuleLayer(num_capsule=10,
dim_vector=16,
batch_size=batch_size,
kernel_initializer=kernel_initializer,
bias_initializer=bias_initializer,
num_routing=num_routing)(primarycaps)
# out_caps : (batch_size, 10)
out_caps = mx.sym.sqrt(data=mx.sym.sum(mx.sym.square(digitcaps), 2))
out_caps.infer_shape(data=(batch_size, 1, 28, 28))
y = mx.sym.Variable('softmax_label', shape=(batch_size,))
y_onehot = mx.sym.one_hot(y, n_class)
y_reshaped = mx.sym.Reshape(data=y_onehot, shape=(batch_size, -4, n_class, -1))
y_reshaped.infer_shape(softmax_label=(batch_size,))
# inputs_masked : (batch_size, 16)
inputs_masked = mx.sym.linalg_gemm2(y_reshaped, digitcaps, transpose_a=True)
inputs_masked = mx.sym.Reshape(data=inputs_masked, shape=(-3, 0))
x_recon = mx.sym.FullyConnected(data=inputs_masked, num_hidden=512, name='x_recon')
x_recon = mx.sym.Activation(data=x_recon, act_type='relu', name='x_recon_act')
x_recon = mx.sym.FullyConnected(data=x_recon, num_hidden=1024, name='x_recon2')
x_recon = mx.sym.Activation(data=x_recon, act_type='relu', name='x_recon_act2')
x_recon = mx.sym.FullyConnected(data=x_recon, num_hidden=np.prod(input_shape), name='x_recon3')
x_recon = mx.sym.Activation(data=x_recon, act_type='sigmoid', name='x_recon_act3')
data_flatten = mx.sym.flatten(data=data)
squared_error = mx.sym.square(x_recon-data_flatten)
recon_error = mx.sym.mean(squared_error)
recon_error_stopped = recon_error
recon_error_stopped = mx.sym.BlockGrad(recon_error_stopped)
loss = mx.symbol.MakeLoss((1-recon_loss_weight)*margin_loss(y_onehot, out_caps)+recon_loss_weight*recon_error)
out_caps_blocked = out_caps
out_caps_blocked = mx.sym.BlockGrad(out_caps_blocked)
return mx.sym.Group([out_caps_blocked, loss, recon_error_stopped])
|
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"]",
")"
] |
Create CapsNet
|
[
"Create",
"CapsNet"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/capsnet/capsulenet.py#L39-L100
|
train
|
Create a CapsNet for the given batch size and class.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\x35' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b110111) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(2153 - 2105) + chr(4396 - 4285) + chr(50) + chr(1684 - 1630) + '\x35', 0b1000), ehT0Px3KOsy9(chr(2184 - 2136) + chr(111) + '\x33' + '\064' + '\x34', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(2010 - 1960) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1159 - 1110) + chr(50) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(7934 - 7823) + chr(0b110101) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8895 - 8784) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + '\067' + chr(50), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10110 + 0o34) + chr(0b110100 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(50) + '\x31', 34160 - 34152), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(7479 - 7368) + chr(0b101110 + 0o10) + chr(0b110 + 0o52), 0o10), ehT0Px3KOsy9('\060' + chr(7304 - 7193) + '\063' + chr(49) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\x33', 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(0b101 + 0o56) + chr(1194 - 1140), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b10110 + 0o37) + chr(0b11011 + 0o32), 16527 - 16519), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1100 + 0o45) + chr(0b1000 + 0o54), 39087 - 39079), ehT0Px3KOsy9(chr(1563 - 1515) + chr(839 - 728) + '\x33' + chr(0b11100 + 0o32), 1606 - 1598), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1001 + 0o52) + '\063' + chr(1861 - 1810), 19770 - 19762), ehT0Px3KOsy9('\060' + chr(0b1101100 + 0o3) + chr(50) + chr(54) + chr(52), 61156 - 61148), ehT0Px3KOsy9('\x30' + chr(11283 - 11172) + '\x37' + '\062', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b110001) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(2082 - 2031) + '\x31', 48540 - 48532), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(1090 - 1037) + chr(0b110010), 28026 - 28018), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + chr(0b101100 + 0o7) + '\x37', 56412 - 56404), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11100 + 0o26) + chr(54) + chr(0b110101), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(53) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\x35' + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10100 + 0o133) + chr(0b11001 + 0o32) + chr(2559 - 2507) + chr(0b11010 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\x36' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101 + 0o56) + chr(1020 - 968) + '\066', 59959 - 59951), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100111 + 0o13) + '\x31' + chr(0b11000 + 0o36), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x36' + '\x32', 7041 - 7033), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1110 + 0o44) + chr(1154 - 1102), 8), ehT0Px3KOsy9(chr(48) + chr(9564 - 9453) + chr(0b0 + 0o62) + chr(0b11 + 0o62) + chr(0b101101 + 0o10), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1005 - 954) + chr(54) + chr(0b110011), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(53) + chr(1296 - 1248), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7'), chr(100) + chr(6637 - 6536) + chr(0b1001 + 0o132) + chr(5071 - 4960) + '\x64' + chr(0b0 + 0o145))('\x75' + chr(116) + '\x66' + chr(117 - 72) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def uUoM2CBWHvnr(ix9dZyeAmUxY, VyUR2hYd5Ob3, ZYvKybGth2qp, usG0UrThjrPm):
ULnjp6D6efFH = CIVheOt0RKQX.sym.Variable(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\x1e\xc1\x85'), chr(100) + chr(0b1100101) + chr(0b1001011 + 0o30) + '\157' + chr(9586 - 9486) + '\145')(chr(0b1001100 + 0o51) + chr(116) + chr(0b1100000 + 0o6) + '\055' + '\070'))
tANyZeuTfu5y = (ehT0Px3KOsy9('\060' + chr(0b101111 + 0o100) + chr(49), 0o10), ehT0Px3KOsy9(chr(663 - 615) + chr(0b110100 + 0o73) + '\063' + chr(165 - 113), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10001 + 0o136) + '\063' + chr(106 - 54), 8))
imTr2MFnCEEy = CIVheOt0RKQX.sym.Convolution(data=ULnjp6D6efFH, num_filter=ehT0Px3KOsy9(chr(1182 - 1134) + '\x6f' + chr(52) + '\x30' + '\060', 0o10), kernel=(ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(194 - 145) + '\x31', 43727 - 43719), ehT0Px3KOsy9('\060' + chr(4316 - 4205) + chr(159 - 110) + chr(49), 8)), layout=xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7<\xfd\xb3'), chr(9575 - 9475) + chr(7643 - 7542) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(0b1010000 + 0o25))('\x75' + chr(116) + '\146' + '\055' + chr(0b101101 + 0o13)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\x10\xdb\x92e'), chr(100) + '\x65' + '\143' + chr(0b1101111) + '\x64' + chr(0b1110 + 0o127))(chr(13427 - 13310) + chr(0b1110100) + chr(102) + '\055' + chr(2446 - 2390)))
imTr2MFnCEEy = CIVheOt0RKQX.sym.Activation(data=imTr2MFnCEEy, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x1a\xd9\x91'), chr(0b101100 + 0o70) + chr(101) + chr(99) + '\x6f' + '\144' + chr(101))(chr(8670 - 8553) + chr(116) + chr(102) + chr(0b100011 + 0o12) + chr(0b111000)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\x10\xdb\x92e\x08I`N'), chr(100) + '\x65' + chr(5103 - 5004) + chr(12108 - 11997) + '\144' + '\145')('\x75' + chr(1535 - 1419) + '\146' + chr(45) + chr(0b111000)))
Mwk0WYzZu5_N = NJdtCi6DuQUy(data=imTr2MFnCEEy, dim_vector=ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\x30', ord("\x08")), n_channels=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10000 + 0o44) + '\x30', ord("\x08")), kernel=(ehT0Px3KOsy9(chr(573 - 525) + '\157' + '\061' + chr(49), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11110 + 0o23) + chr(49), 8)), strides=[ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(9515 - 9404) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(50), 8)], name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x99\r\xdc\x895%Q`[pg'), '\144' + '\145' + '\143' + chr(0b110101 + 0o72) + chr(4552 - 4452) + chr(6567 - 6466))(chr(117) + chr(116) + chr(0b1100110) + chr(0b101101) + '\x38'))
xafqLlk3kkUe(Mwk0WYzZu5_N, xafqLlk3kkUe(SXOLrMavuUCe(b'\x80\x11\xd3\x81&\x08[k[pq'), chr(0b1000111 + 0o35) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(0b10010 + 0o122) + '\x65')(chr(117) + '\164' + chr(0b100100 + 0o102) + chr(0b101101) + chr(3018 - 2962)))(data=(ix9dZyeAmUxY, ehT0Px3KOsy9(chr(48) + '\x6f' + '\061', 8), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + '\x33' + chr(0b10 + 0o62), 8), ehT0Px3KOsy9(chr(0b110000) + chr(1229 - 1118) + '\x33' + chr(834 - 782), 8)))
yTYoQGLIQD0u = CIVheOt0RKQX.init.Xavier(rnd_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\x11\xdc\x82;%E'), chr(100) + '\x65' + '\x63' + chr(0b1101111) + chr(100) + chr(101))(chr(5982 - 5865) + '\164' + chr(0b1100110) + '\055' + chr(0b100 + 0o64)), factor_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\t\xd2'), chr(0b1100100) + chr(5728 - 5627) + chr(0b10001 + 0o122) + chr(111) + chr(7240 - 7140) + chr(4549 - 4448))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(0b10100 + 0o31) + chr(0b111000)), magnitude=ehT0Px3KOsy9(chr(1100 - 1052) + '\157' + chr(0b0 + 0o63), 8))
qV2vQknHOrdL = CIVheOt0RKQX.init.Zero()
taVDo6G4Gb2D = qbk17nfxGE_Q(num_capsule=ehT0Px3KOsy9(chr(1919 - 1871) + chr(4602 - 4491) + chr(0b10111 + 0o32) + '\x32', 33325 - 33317), dim_vector=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1472 - 1422) + chr(841 - 793), 0b1000), batch_size=ix9dZyeAmUxY, kernel_initializer=yTYoQGLIQD0u, bias_initializer=qV2vQknHOrdL, num_routing=ZYvKybGth2qp)(Mwk0WYzZu5_N)
WiCbBM2vJlnc = CIVheOt0RKQX.sym.sqrt(data=CIVheOt0RKQX.sym.xkxBmo49x2An(CIVheOt0RKQX.sym.square(taVDo6G4Gb2D), ehT0Px3KOsy9('\x30' + '\157' + chr(0b0 + 0o62), 8)))
xafqLlk3kkUe(WiCbBM2vJlnc, xafqLlk3kkUe(SXOLrMavuUCe(b'\x80\x11\xd3\x81&\x08[k[pq'), '\144' + '\145' + '\x63' + chr(111) + '\x64' + chr(1335 - 1234))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(56)))(data=(ix9dZyeAmUxY, ehT0Px3KOsy9(chr(0b110000) + chr(0b1011 + 0o144) + '\061', 8), ehT0Px3KOsy9('\x30' + chr(0b11 + 0o154) + '\x33' + chr(0b10101 + 0o37), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2452 - 2401) + chr(0b110100 + 0o0), 8)))
SqiSOtYOqOJH = CIVheOt0RKQX.sym.Variable(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\x10\xd3\x9096P\\Vavv\xfd'), chr(100) + chr(7945 - 7844) + chr(99) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(5881 - 5764) + chr(5403 - 5287) + chr(8751 - 8649) + '\x2d' + '\070'), shape=(ix9dZyeAmUxY,))
KHdUFYA1S6H_ = CIVheOt0RKQX.sym.Hq3fv4Yp0EhD(SqiSOtYOqOJH, VyUR2hYd5Ob3)
vfOthzVsVhpV = CIVheOt0RKQX.sym.Reshape(data=KHdUFYA1S6H_, shape=(ix9dZyeAmUxY, -ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + chr(0b110100), ord("\x08")), VyUR2hYd5Ob3, -ehT0Px3KOsy9(chr(798 - 750) + '\x6f' + chr(0b11 + 0o56), 8)))
xafqLlk3kkUe(vfOthzVsVhpV, xafqLlk3kkUe(SXOLrMavuUCe(b'\x80\x11\xd3\x81&\x08[k[pq'), '\x64' + chr(101) + chr(8229 - 8130) + '\157' + chr(0b1001111 + 0o25) + '\x65')(chr(117) + chr(0b1011001 + 0o33) + chr(102) + chr(45) + '\070'))(softmax_label=(ix9dZyeAmUxY,))
Am4E9Voi3NOv = CIVheOt0RKQX.sym.linalg_gemm2(vfOthzVsVhpV, taVDo6G4Gb2D, transpose_a=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31', 8))
Am4E9Voi3NOv = CIVheOt0RKQX.sym.Reshape(data=Am4E9Voi3NOv, shape=(-ehT0Px3KOsy9(chr(199 - 151) + chr(0b1010010 + 0o35) + chr(517 - 466), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(1524 - 1476), 8)))
J1sFYx8bBWsg = CIVheOt0RKQX.sym.FullyConnected(data=Am4E9Voi3NOv, num_hidden=ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + '\x30' + chr(580 - 532) + '\x30', 0o10), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x91 \xc7\x8178F'), chr(100) + '\145' + '\143' + chr(0b1101111) + '\x64' + chr(8527 - 8426))(chr(960 - 843) + '\164' + '\x66' + '\055' + chr(56)))
J1sFYx8bBWsg = CIVheOt0RKQX.sym.Activation(data=J1sFYx8bBWsg, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x1a\xd9\x91'), chr(0b10011 + 0o121) + chr(101) + chr(4258 - 4159) + chr(111) + '\144' + '\145')('\x75' + '\x74' + chr(102) + chr(0b100 + 0o51) + chr(0b11011 + 0o35)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x91 \xc7\x8178F\\[c`'), chr(0b1100100) + chr(0b1001011 + 0o32) + '\143' + chr(9692 - 9581) + '\x64' + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(8741 - 8639) + '\055' + chr(56)))
J1sFYx8bBWsg = CIVheOt0RKQX.sym.FullyConnected(data=J1sFYx8bBWsg, num_hidden=ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b100101 + 0o112) + '\062' + chr(915 - 867) + chr(48) + chr(0b110000), 0b1000), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x91 \xc7\x8178F1'), chr(5147 - 5047) + '\145' + chr(3587 - 3488) + chr(111) + chr(0b1010011 + 0o21) + chr(0b1100101))('\x75' + chr(116) + chr(0b1100110) + chr(45) + chr(56)))
J1sFYx8bBWsg = CIVheOt0RKQX.sym.Activation(data=J1sFYx8bBWsg, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x1a\xd9\x91'), '\144' + chr(9615 - 9514) + '\x63' + chr(1672 - 1561) + chr(100) + '\x65')('\165' + '\164' + chr(102) + '\x2d' + chr(0b111000)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x91 \xc7\x8178F\\[c`!'), chr(100) + '\145' + '\x63' + chr(0b100101 + 0o112) + '\144' + chr(0b1011110 + 0o7))('\165' + '\164' + chr(102) + chr(0b101101) + '\070'))
J1sFYx8bBWsg = CIVheOt0RKQX.sym.FullyConnected(data=J1sFYx8bBWsg, num_hidden=WqUC3KWvYVup.lBYk79l4Nk8h(tANyZeuTfu5y), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x91 \xc7\x8178F0'), chr(100) + '\x65' + chr(0b1011111 + 0o4) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(1088 - 971) + chr(0b1110100) + chr(0b100110 + 0o100) + '\x2d' + chr(0b111000)))
J1sFYx8bBWsg = CIVheOt0RKQX.sym.Activation(data=J1sFYx8bBWsg, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\x16\xd2\x89;>L'), chr(0b111000 + 0o54) + chr(8964 - 8863) + chr(7526 - 7427) + '\157' + chr(100) + '\x65')(chr(5002 - 4885) + '\164' + '\x66' + chr(0b101101) + chr(0b101001 + 0o17)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x91 \xc7\x8178F\\[c` '), chr(100) + chr(5422 - 5321) + chr(369 - 270) + chr(0b1101111) + '\144' + chr(101))(chr(4571 - 4454) + chr(0b1110100) + '\x66' + '\055' + chr(2702 - 2646)))
GzK2MThIrS1Q = CIVheOt0RKQX.sym.dbBtynT6oMgz(data=ULnjp6D6efFH)
ngkYdlJGyprJ = CIVheOt0RKQX.sym.square(J1sFYx8bBWsg - GzK2MThIrS1Q)
nQwwIfRWlvXq = CIVheOt0RKQX.sym.aJhItC_Vawlw(ngkYdlJGyprJ)
BIQlY8aKRbZb = nQwwIfRWlvXq
BIQlY8aKRbZb = CIVheOt0RKQX.sym.BlockGrad(BIQlY8aKRbZb)
YpO0BcZ6fMsf = CIVheOt0RKQX.symbol.MakeLoss((ehT0Px3KOsy9('\060' + '\157' + chr(0b10100 + 0o35), 8) - usG0UrThjrPm) * cwZltZPF64Sb(KHdUFYA1S6H_, WiCbBM2vJlnc) + usG0UrThjrPm * nQwwIfRWlvXq)
eUBdDRhzNPl_ = WiCbBM2vJlnc
eUBdDRhzNPl_ = CIVheOt0RKQX.sym.BlockGrad(eUBdDRhzNPl_)
return xafqLlk3kkUe(CIVheOt0RKQX.sym, xafqLlk3kkUe(SXOLrMavuUCe(b'\xae\r\xda\x91$'), chr(100) + '\x65' + '\143' + '\x6f' + '\144' + '\145')(chr(6585 - 6468) + chr(116) + chr(9299 - 9197) + chr(1996 - 1951) + chr(56)))([eUBdDRhzNPl_, YpO0BcZ6fMsf, BIQlY8aKRbZb])
|
apache/incubator-mxnet
|
example/capsnet/capsulenet.py
|
do_training
|
def do_training(num_epoch, optimizer, kvstore, learning_rate, model_prefix, decay):
"""Perform CapsNet training"""
summary_writer = SummaryWriter(args.tblog_dir)
lr_scheduler = SimpleLRScheduler(learning_rate)
optimizer_params = {'lr_scheduler': lr_scheduler}
module.init_params()
module.init_optimizer(kvstore=kvstore,
optimizer=optimizer,
optimizer_params=optimizer_params)
n_epoch = 0
while True:
if n_epoch >= num_epoch:
break
train_iter.reset()
val_iter.reset()
loss_metric.reset()
for n_batch, data_batch in enumerate(train_iter):
module.forward_backward(data_batch)
module.update()
module.update_metric(loss_metric, data_batch.label)
loss_metric.get_batch_log(n_batch)
train_acc, train_loss, train_recon_err = loss_metric.get_name_value()
loss_metric.reset()
for n_batch, data_batch in enumerate(val_iter):
module.forward(data_batch)
module.update_metric(loss_metric, data_batch.label)
loss_metric.get_batch_log(n_batch)
val_acc, val_loss, val_recon_err = loss_metric.get_name_value()
summary_writer.add_scalar('train_acc', train_acc, n_epoch)
summary_writer.add_scalar('train_loss', train_loss, n_epoch)
summary_writer.add_scalar('train_recon_err', train_recon_err, n_epoch)
summary_writer.add_scalar('val_acc', val_acc, n_epoch)
summary_writer.add_scalar('val_loss', val_loss, n_epoch)
summary_writer.add_scalar('val_recon_err', val_recon_err, n_epoch)
print('Epoch[%d] train acc: %.4f loss: %.6f recon_err: %.6f' % (n_epoch, train_acc, train_loss,
train_recon_err))
print('Epoch[%d] val acc: %.4f loss: %.6f recon_err: %.6f' % (n_epoch, val_acc, val_loss, val_recon_err))
print('SAVE CHECKPOINT')
module.save_checkpoint(prefix=model_prefix, epoch=n_epoch)
n_epoch += 1
lr_scheduler.learning_rate = learning_rate * (decay ** n_epoch)
|
python
|
def do_training(num_epoch, optimizer, kvstore, learning_rate, model_prefix, decay):
"""Perform CapsNet training"""
summary_writer = SummaryWriter(args.tblog_dir)
lr_scheduler = SimpleLRScheduler(learning_rate)
optimizer_params = {'lr_scheduler': lr_scheduler}
module.init_params()
module.init_optimizer(kvstore=kvstore,
optimizer=optimizer,
optimizer_params=optimizer_params)
n_epoch = 0
while True:
if n_epoch >= num_epoch:
break
train_iter.reset()
val_iter.reset()
loss_metric.reset()
for n_batch, data_batch in enumerate(train_iter):
module.forward_backward(data_batch)
module.update()
module.update_metric(loss_metric, data_batch.label)
loss_metric.get_batch_log(n_batch)
train_acc, train_loss, train_recon_err = loss_metric.get_name_value()
loss_metric.reset()
for n_batch, data_batch in enumerate(val_iter):
module.forward(data_batch)
module.update_metric(loss_metric, data_batch.label)
loss_metric.get_batch_log(n_batch)
val_acc, val_loss, val_recon_err = loss_metric.get_name_value()
summary_writer.add_scalar('train_acc', train_acc, n_epoch)
summary_writer.add_scalar('train_loss', train_loss, n_epoch)
summary_writer.add_scalar('train_recon_err', train_recon_err, n_epoch)
summary_writer.add_scalar('val_acc', val_acc, n_epoch)
summary_writer.add_scalar('val_loss', val_loss, n_epoch)
summary_writer.add_scalar('val_recon_err', val_recon_err, n_epoch)
print('Epoch[%d] train acc: %.4f loss: %.6f recon_err: %.6f' % (n_epoch, train_acc, train_loss,
train_recon_err))
print('Epoch[%d] val acc: %.4f loss: %.6f recon_err: %.6f' % (n_epoch, val_acc, val_loss, val_recon_err))
print('SAVE CHECKPOINT')
module.save_checkpoint(prefix=model_prefix, epoch=n_epoch)
n_epoch += 1
lr_scheduler.learning_rate = learning_rate * (decay ** n_epoch)
|
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] |
Perform CapsNet training
|
[
"Perform",
"CapsNet",
"training"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/capsnet/capsulenet.py#L195-L238
|
train
|
Perform CapsNet training
|
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(0b100101 + 0o15) + chr(0b11110 + 0o26) + chr(55), 65434 - 65426), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110100) + chr(154 - 103), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(50), 0o10), ehT0Px3KOsy9(chr(1695 - 1647) + '\157' + chr(53) + chr(470 - 416), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(7986 - 7875) + '\x33' + chr(2082 - 2031) + chr(49), 0o10), ehT0Px3KOsy9(chr(2280 - 2232) + chr(0b1101111) + chr(0b110011) + '\063' + chr(0b10011 + 0o35), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(0b101111 + 0o2) + '\066', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101011 + 0o7) + chr(55) + chr(1702 - 1648), ord("\x08")), ehT0Px3KOsy9(chr(1416 - 1368) + chr(0b11011 + 0o124) + chr(0b1010 + 0o46), 30135 - 30127), ehT0Px3KOsy9(chr(0b110000) + chr(7804 - 7693) + chr(54) + chr(1733 - 1679), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + '\x32' + chr(0b110100) + chr(0b100110 + 0o17), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011011 + 0o24) + chr(0b11000 + 0o33) + '\x37' + chr(50), 27190 - 27182), ehT0Px3KOsy9('\x30' + chr(8953 - 8842) + chr(0b1010 + 0o51) + chr(0b1 + 0o63) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111000 + 0o67) + chr(0b110 + 0o53) + chr(375 - 327) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\x34' + '\x36', 48428 - 48420), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101110 + 0o3) + '\064' + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b0 + 0o62) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10001 + 0o41) + chr(0b1010 + 0o52) + chr(1003 - 955), 12190 - 12182), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110 + 0o53) + '\063' + chr(0b100 + 0o62), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(0b100011 + 0o22) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1602 - 1554) + chr(0b100011 + 0o114) + chr(2324 - 2274) + '\067' + chr(0b110100), 1998 - 1990), ehT0Px3KOsy9('\060' + chr(0b1001101 + 0o42) + '\x33' + chr(83 - 33) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(1609 - 1561) + chr(0b1101111) + '\062' + chr(0b100000 + 0o21) + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b10101 + 0o132) + '\x37' + '\065', 0b1000), ehT0Px3KOsy9(chr(1730 - 1682) + chr(111) + '\061' + chr(51) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1622 - 1574) + chr(111) + '\x31' + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b110011) + chr(0b101110 + 0o7), 9716 - 9708), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b11000 + 0o34) + '\x37', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11010 + 0o27) + '\063' + '\x37', 8), ehT0Px3KOsy9('\060' + '\157' + chr(141 - 90) + chr(1206 - 1154) + chr(1830 - 1778), 30078 - 30070), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\x37' + chr(0b0 + 0o60), 22255 - 22247), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(49) + chr(2660 - 2606) + '\063', 29069 - 29061), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(379 - 330) + chr(52) + chr(2708 - 2655), 35713 - 35705), ehT0Px3KOsy9('\060' + chr(0b1100111 + 0o10) + chr(53) + chr(0b1101 + 0o45), 0b1000), ehT0Px3KOsy9(chr(1924 - 1876) + '\x6f' + '\x32' + chr(0b10110 + 0o40) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\067' + '\063', 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + '\x37' + chr(48), 64718 - 64710), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010000 + 0o37) + '\062' + '\x37' + chr(0b110010), 45088 - 45080), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10011 + 0o37) + chr(0b1 + 0o66) + chr(0b100100 + 0o16), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101100 + 0o7) + '\060' + chr(50), 25707 - 25699)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(2683 - 2572) + '\x35' + chr(713 - 665), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x89'), chr(0b1100100) + '\145' + '\143' + '\157' + '\144' + '\145')('\165' + chr(12825 - 12709) + chr(102) + chr(0b1100 + 0o41) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def mWyH4EEM9aDN(FFScKvII7NXg, XdKNcYRObPK3, Dlwsb3sX_cE9, QGSIpd_yUNzU, j1_eR7aRhKil, eeyC5_0F9WOf):
S5uPA4n8ItHK = CwQUM6edrfUi(kJDRfRhcZHjS.tblog_dir)
sEnxNQ9I7JN9 = Cv7XNz3oFCYu(QGSIpd_yUNzU)
Jc4PFUw40SRS = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xcbQE]\xba\xb0\xeb\xdauZ\xc0\x88'), chr(4172 - 4072) + '\x65' + '\143' + chr(111) + '\x64' + '\145')(chr(2765 - 2648) + chr(2149 - 2033) + chr(0b1100110) + chr(926 - 881) + '\x38'): sEnxNQ9I7JN9}
xafqLlk3kkUe(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xceMsZ\x86\xa8\xef\xcca[\xd6'), chr(0b10101 + 0o117) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(9486 - 9386) + chr(0b110 + 0o137))('\165' + chr(0b10000 + 0o144) + chr(0b1100110) + chr(0b100011 + 0o12) + chr(0b100 + 0o64)))()
xafqLlk3kkUe(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xceMsZ\x86\xb7\xfe\xcai[\xcc\x80\x851'), chr(100) + chr(101) + chr(0b1100011) + chr(4143 - 4032) + chr(6150 - 6050) + '\x65')('\x75' + chr(0b1101111 + 0o5) + chr(9094 - 8992) + chr(216 - 171) + chr(2600 - 2544)))(kvstore=Dlwsb3sX_cE9, optimizer=XdKNcYRObPK3, optimizer_params=Jc4PFUw40SRS)
WZ7VuWRhcLVB = ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110000), 8)
while ehT0Px3KOsy9(chr(48) + chr(12320 - 12209) + '\x31', ord("\x08")):
if WZ7VuWRhcLVB >= FFScKvII7NXg:
break
xafqLlk3kkUe(ORSP_0AjRz85, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5FiK\xad'), chr(7483 - 7383) + '\x65' + '\143' + chr(0b100000 + 0o117) + '\x64' + chr(9783 - 9682))('\x75' + chr(0b1010100 + 0o40) + chr(0b1100110) + chr(45) + chr(0b111000)))()
xafqLlk3kkUe(cnvFNmmGlq_n, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5FiK\xad'), chr(0b100110 + 0o76) + chr(0b100010 + 0o103) + chr(9400 - 9301) + chr(111) + chr(0b11001 + 0o113) + '\145')(chr(13239 - 13122) + chr(12413 - 12297) + '\x66' + chr(0b101101) + chr(0b111000)))()
xafqLlk3kkUe(Zxd6hj88MKdX, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5FiK\xad'), chr(100) + '\x65' + '\x63' + chr(8373 - 8262) + '\144' + '\x65')('\x75' + '\x74' + chr(102) + chr(0b11101 + 0o20) + '\070'))()
for (LdP7W3hulWdy, idr841wg0ysW) in YlkZvXL8qwsX(ORSP_0AjRz85):
xafqLlk3kkUe(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1LhY\xb8\xaa\xea\xe1bW\xc6\x91\x97"\xd4\x05'), chr(100) + chr(2657 - 2556) + chr(3033 - 2934) + chr(111) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b101110 + 0o106) + chr(0b1100110) + chr(0b101101) + '\070'))(idr841wg0ysW)
xafqLlk3kkUe(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfdW[k\xb0\x96\xc4\xd0y\x02\xc0\xca'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\157' + '\144' + chr(0b111101 + 0o50))('\165' + chr(116) + '\x66' + '\055' + '\x38'))()
xafqLlk3kkUe(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2S~O\xad\xbd\xd1\xd3eB\xd7\x93\x83'), chr(100) + chr(9814 - 9713) + chr(0b1011101 + 0o6) + chr(428 - 317) + chr(0b1100100) + chr(10006 - 9905))(chr(0b1100100 + 0o21) + '\x74' + chr(0b1100110) + '\x2d' + chr(0b110011 + 0o5)))(Zxd6hj88MKdX, xafqLlk3kkUe(idr841wg0ysW, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3qOa\x95\x9e\xc2\xcbD\x06\x9d\x82'), '\x64' + chr(0b1011010 + 0o13) + '\143' + chr(0b1101111) + chr(0b10000 + 0o124) + chr(3701 - 3600))(chr(0b1110101) + chr(0b110101 + 0o77) + chr(0b1100110) + '\055' + '\x38')))
xafqLlk3kkUe(Zxd6hj88MKdX, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0Fnq\xbb\xb9\xfa\xddhi\xc9\x95\x87'), chr(100) + '\145' + chr(3240 - 3141) + chr(0b100 + 0o153) + chr(0b1100100) + chr(7526 - 7425))(chr(117) + chr(116) + chr(8612 - 8510) + '\055' + chr(0b111000)))(LdP7W3hulWdy)
(t63l9UgvbVCD, OnWaMZxpbE48, NjEf4MMIdMHm) = Zxd6hj88MKdX.get_name_value()
xafqLlk3kkUe(Zxd6hj88MKdX, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5FiK\xad'), chr(3892 - 3792) + chr(101) + chr(99) + chr(111) + chr(100) + chr(0b101001 + 0o74))(chr(117) + '\x74' + chr(0b1100110) + '\x2d' + '\x38'))()
for (LdP7W3hulWdy, idr841wg0ysW) in YlkZvXL8qwsX(cnvFNmmGlq_n):
xafqLlk3kkUe(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0AxM\x9a\x90\xdb\xf0F{\xcf\xcf'), chr(0b1100100) + '\x65' + chr(0b10 + 0o141) + chr(0b1000011 + 0o54) + chr(0b110000 + 0o64) + chr(0b100000 + 0o105))('\165' + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b101001 + 0o17)))(idr841wg0ysW)
xafqLlk3kkUe(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2S~O\xad\xbd\xd1\xd3eB\xd7\x93\x83'), '\x64' + '\x65' + '\143' + chr(8307 - 8196) + '\144' + chr(8036 - 7935))(chr(3922 - 3805) + chr(0b10010 + 0o142) + '\146' + '\x2d' + chr(0b111000)))(Zxd6hj88MKdX, xafqLlk3kkUe(idr841wg0ysW, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3qOa\x95\x9e\xc2\xcbD\x06\x9d\x82'), chr(100) + chr(0b1100101) + chr(99) + '\157' + '\144' + chr(0b110010 + 0o63))(chr(0b100101 + 0o120) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(0b1001 + 0o57))))
xafqLlk3kkUe(Zxd6hj88MKdX, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0Fnq\xbb\xb9\xfa\xddhi\xc9\x95\x87'), chr(0b101 + 0o137) + '\x65' + chr(0b1100011) + chr(11735 - 11624) + chr(0b110001 + 0o63) + chr(101))(chr(6849 - 6732) + '\164' + '\146' + chr(0b101101) + '\070'))(LdP7W3hulWdy)
(eU69eANtFzrt, dOA71LwyEdde, hgCYf82UwxxW) = Zxd6hj88MKdX.get_name_value()
xafqLlk3kkUe(S5uPA4n8ItHK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6G~q\xaa\xbb\xef\xd2aD'), chr(9600 - 9500) + '\x65' + chr(5039 - 4940) + '\x6f' + chr(7135 - 7035) + chr(0b1100101))(chr(0b1110101) + '\164' + '\x66' + chr(800 - 755) + chr(0b1000 + 0o60)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3Q{G\xb7\x87\xef\xddc'), chr(0b1100010 + 0o2) + '\x65' + chr(0b1100011) + chr(111) + chr(1845 - 1745) + chr(101))('\x75' + chr(116) + chr(0b1100110) + '\055' + chr(778 - 722)), t63l9UgvbVCD, WZ7VuWRhcLVB)
xafqLlk3kkUe(S5uPA4n8ItHK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6G~q\xaa\xbb\xef\xd2aD'), chr(100) + chr(5354 - 5253) + chr(99) + chr(0b1101111) + '\144' + '\x65')('\x75' + chr(8559 - 8443) + chr(5115 - 5013) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3Q{G\xb7\x87\xe2\xd1sE'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(0b110111 + 0o70) + chr(0b1010110 + 0o16) + '\x65')('\165' + '\164' + '\x66' + chr(45) + chr(2871 - 2815)), OnWaMZxpbE48, WZ7VuWRhcLVB)
xafqLlk3kkUe(S5uPA4n8ItHK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6G~q\xaa\xbb\xef\xd2aD'), chr(6951 - 6851) + chr(101) + chr(0b1100011) + chr(9432 - 9321) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\x74' + '\x66' + chr(45) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3Q{G\xb7\x87\xfc\xdbcY\xcb\xa5\x851\xd4'), chr(0b1100100) + chr(1423 - 1322) + chr(0b1001011 + 0o30) + chr(0b1100 + 0o143) + chr(0b1100100) + chr(0b100101 + 0o100))('\165' + chr(420 - 304) + '\x66' + chr(387 - 342) + '\070'), NjEf4MMIdMHm, WZ7VuWRhcLVB)
xafqLlk3kkUe(S5uPA4n8ItHK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6G~q\xaa\xbb\xef\xd2aD'), '\144' + '\x65' + chr(1130 - 1031) + chr(5143 - 5032) + chr(0b1100100) + chr(101))('\x75' + chr(116) + chr(0b1100110) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1Bvq\xb8\xbb\xed'), chr(0b1100100) + chr(0b1001011 + 0o32) + chr(0b111101 + 0o46) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b11110 + 0o127) + chr(116) + chr(0b100000 + 0o106) + chr(1616 - 1571) + chr(0b111000)), eU69eANtFzrt, WZ7VuWRhcLVB)
xafqLlk3kkUe(S5uPA4n8ItHK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6G~q\xaa\xbb\xef\xd2aD'), '\144' + chr(101) + '\x63' + chr(0b1101111) + chr(100) + chr(101))('\165' + chr(0b11100 + 0o130) + '\146' + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1Bvq\xb5\xb7\xfd\xcd'), chr(0b1010011 + 0o21) + chr(101) + chr(8881 - 8782) + '\x6f' + chr(7695 - 7595) + chr(0b1010101 + 0o20))(chr(0b1101101 + 0o10) + chr(1287 - 1171) + chr(3204 - 3102) + chr(0b100010 + 0o13) + '\x38'), dOA71LwyEdde, WZ7VuWRhcLVB)
xafqLlk3kkUe(S5uPA4n8ItHK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6G~q\xaa\xbb\xef\xd2aD'), chr(0b1010000 + 0o24) + chr(0b1100101) + chr(0b1100011) + chr(0b1001101 + 0o42) + '\144' + chr(8068 - 7967))('\165' + '\x74' + '\146' + chr(0b101101) + chr(2925 - 2869)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1Bvq\xab\xbd\xed\xd1ni\xc0\x88\x92'), chr(0b1011000 + 0o14) + '\145' + '\x63' + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(12560 - 12444) + chr(0b110101 + 0o61) + '\055' + chr(0b101011 + 0o15)), hgCYf82UwxxW, WZ7VuWRhcLVB)
zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2SuM\xb1\x83\xab\xda]\x16\xd1\x88\x81*\xc8A\xf0\xc3=U\x9c\xf7\xa0\t9-\xb1\xc8,\x97\x82S@\x04\x80\xdd\x18\xc8\xdf\xa1\xc8MEK\xab\xaa\xb4\x9e%\x18\x93\x9c'), '\x64' + '\145' + chr(99) + '\x6f' + chr(984 - 884) + '\145')(chr(0b1000010 + 0o63) + '\164' + '\146' + chr(1418 - 1373) + '\x38') % (WZ7VuWRhcLVB, t63l9UgvbVCD, OnWaMZxpbE48, NjEf4MMIdMHm))
zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2SuM\xb1\x83\xab\xda]\x16\xd3\x9b\x8cc\xc7\x02\xf2\x9a~J\x92\xe6\xe8\x1d3b\xae\xd4e\xc4\x9d]SL\x96\xc9]\xd9\xd5\xac\xf8Fh\\\xe3\xf8\xab\x906P'), chr(0b1100100) + chr(0b1100101) + chr(4733 - 4634) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(117) + chr(0b100111 + 0o115) + '\x66' + '\x2d' + '\x38') % (WZ7VuWRhcLVB, eU69eANtFzrt, dOA71LwyEdde, hgCYf82UwxxW))
zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4bLk\xf9\x9b\xc6\xfbC}\xf5\xb5\xa9\r\xf2'), chr(0b1001 + 0o133) + '\145' + chr(5211 - 5112) + '\157' + chr(0b1100100) + chr(5854 - 5753))('\165' + '\164' + chr(0b111001 + 0o55) + chr(0b101101) + chr(2940 - 2884)))
xafqLlk3kkUe(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4BlK\x86\xbb\xe6\xdbc]\xd5\x95\x89-\xd2'), chr(9478 - 9378) + chr(3722 - 3621) + '\x63' + '\x6f' + chr(0b1100100) + chr(0b1100101))('\x75' + '\x74' + chr(231 - 129) + '\x2d' + chr(56)))(prefix=j1_eR7aRhKil, epoch=WZ7VuWRhcLVB)
WZ7VuWRhcLVB += ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1692 - 1643), 8)
sEnxNQ9I7JN9.QGSIpd_yUNzU = QGSIpd_yUNzU * eeyC5_0F9WOf ** WZ7VuWRhcLVB
|
apache/incubator-mxnet
|
example/capsnet/capsulenet.py
|
_shuffle
|
def _shuffle(data, idx):
"""Shuffle the data."""
shuffle_data = []
for idx_k, idx_v in data:
shuffle_data.append((idx_k, mx.ndarray.array(idx_v.asnumpy()[idx], idx_v.context)))
return shuffle_data
|
python
|
def _shuffle(data, idx):
"""Shuffle the data."""
shuffle_data = []
for idx_k, idx_v in data:
shuffle_data.append((idx_k, mx.ndarray.array(idx_v.asnumpy()[idx], idx_v.context)))
return shuffle_data
|
[
"def",
"_shuffle",
"(",
"data",
",",
"idx",
")",
":",
"shuffle_data",
"=",
"[",
"]",
"for",
"idx_k",
",",
"idx_v",
"in",
"data",
":",
"shuffle_data",
".",
"append",
"(",
"(",
"idx_k",
",",
"mx",
".",
"ndarray",
".",
"array",
"(",
"idx_v",
".",
"asnumpy",
"(",
")",
"[",
"idx",
"]",
",",
"idx_v",
".",
"context",
")",
")",
")",
"return",
"shuffle_data"
] |
Shuffle the data.
|
[
"Shuffle",
"the",
"data",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/capsnet/capsulenet.py#L268-L275
|
train
|
Shuffle the data.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1010100 + 0o33) + chr(53), 39189 - 39181), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + chr(0b100101 + 0o15) + chr(52) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(0b10000 + 0o43) + chr(0b101100 + 0o4) + '\061', 0b1000), ehT0Px3KOsy9(chr(1312 - 1264) + chr(0b1101111) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1324 - 1213) + chr(0b101010 + 0o10) + chr(51) + chr(920 - 872), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2458 - 2408) + '\x30' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(1900 - 1852) + chr(6000 - 5889) + '\x35' + chr(62 - 14), 20153 - 20145), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(354 - 243) + '\061' + chr(894 - 843) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(213 - 165) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b110110) + chr(0b11001 + 0o32), 0b1000), ehT0Px3KOsy9(chr(1256 - 1208) + chr(5148 - 5037) + chr(49) + chr(52) + chr(2222 - 2167), 3266 - 3258), ehT0Px3KOsy9('\060' + chr(0b111100 + 0o63) + chr(0b100011 + 0o20) + '\x30' + '\060', 0b1000), ehT0Px3KOsy9(chr(1216 - 1168) + chr(0b1101111) + chr(0b110 + 0o60), 0o10), ehT0Px3KOsy9(chr(1804 - 1756) + chr(111) + chr(49) + chr(50), 0o10), ehT0Px3KOsy9(chr(1847 - 1799) + '\157' + chr(2204 - 2155) + chr(0b110010) + '\066', 58736 - 58728), ehT0Px3KOsy9(chr(0b110000) + chr(0b100001 + 0o116) + chr(0b110000 + 0o2) + chr(0b10100 + 0o34) + '\066', 41148 - 41140), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\061', 34644 - 34636), ehT0Px3KOsy9(chr(1818 - 1770) + '\157' + chr(49) + chr(1395 - 1344) + chr(0b0 + 0o61), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110000 + 0o1) + chr(52) + chr(0b110101), 17008 - 17000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(0b110111) + chr(48), 51628 - 51620), ehT0Px3KOsy9(chr(2183 - 2135) + '\x6f' + chr(51) + chr(51) + chr(526 - 472), 0o10), ehT0Px3KOsy9(chr(445 - 397) + chr(0b1101111) + chr(49) + chr(0b110110) + '\060', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + chr(184 - 133) + chr(51) + chr(1526 - 1477), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\066' + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + chr(7827 - 7716) + chr(0b110011) + chr(0b110110) + chr(0b10111 + 0o36), 34262 - 34254), ehT0Px3KOsy9('\060' + chr(111) + chr(0b111 + 0o52) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(2227 - 2179) + chr(111) + chr(417 - 366) + chr(1420 - 1370) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + chr(49) + chr(1942 - 1889) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(1048 - 1000) + chr(111) + chr(0b10110 + 0o34) + chr(0b110000) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1351 - 1303) + '\x6f' + chr(0b100010 + 0o21) + chr(669 - 619) + '\062', 59823 - 59815), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1001 + 0o146) + chr(1091 - 1041) + '\x30' + chr(0b1001 + 0o56), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011000 + 0o27) + chr(50) + '\x37' + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b110 + 0o53) + chr(54), 36051 - 36043), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b110010) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x35' + chr(1743 - 1689), 63413 - 63405), ehT0Px3KOsy9(chr(929 - 881) + chr(0b1110 + 0o141) + chr(50) + chr(0b110010) + chr(0b11101 + 0o31), 10668 - 10660), ehT0Px3KOsy9('\x30' + chr(233 - 122) + chr(0b110011) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(566 - 455) + chr(0b110001) + chr(0b1001 + 0o54) + chr(52), 32827 - 32819)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101101 + 0o3) + 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'+'), chr(0b101001 + 0o73) + '\x65' + chr(0b1100011) + chr(111) + chr(0b101010 + 0o72) + chr(0b1100101))('\x75' + '\164' + chr(7214 - 7112) + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Kbv0trXIqePg(ULnjp6D6efFH, YlqusYB6InkM):
oFvuxpxKG6AL = []
for (GGwk7fVTKC3P, hyo1tAK107yU) in ULnjp6D6efFH:
xafqLlk3kkUe(oFvuxpxKG6AL, xafqLlk3kkUe(SXOLrMavuUCe(b'd\xd2\xb1g\xf6p'), chr(7723 - 7623) + chr(0b10111 + 0o116) + chr(0b101111 + 0o64) + chr(0b1101111) + '\144' + chr(0b100011 + 0o102))('\x75' + chr(9393 - 9277) + chr(102) + chr(0b101101) + chr(179 - 123)))((GGwk7fVTKC3P, xafqLlk3kkUe(CIVheOt0RKQX.ndarray, xafqLlk3kkUe(SXOLrMavuUCe(b'G\x92\xa4R\xdc|\xf1Y%\x0c\x86\t'), chr(7484 - 7384) + chr(0b1100101) + chr(4359 - 4260) + chr(0b1101111) + chr(9917 - 9817) + '\145')(chr(117) + chr(0b11001 + 0o133) + chr(102) + '\055' + chr(56)))(xafqLlk3kkUe(hyo1tAK107yU, xafqLlk3kkUe(SXOLrMavuUCe(b'd\xd1\xafw\xf5d\xf8'), chr(100) + chr(7851 - 7750) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b101100 + 0o14)))()[YlqusYB6InkM], xafqLlk3kkUe(hyo1tAK107yU, xafqLlk3kkUe(SXOLrMavuUCe(b'f\xcd\xafv\xfdl\xf5'), '\x64' + chr(0b111001 + 0o54) + chr(99) + '\x6f' + '\144' + '\x65')('\165' + chr(0b1110100) + '\x66' + chr(0b11111 + 0o16) + '\x38')))))
return oFvuxpxKG6AL
|
apache/incubator-mxnet
|
example/capsnet/capsulenet.py
|
LossMetric.update
|
def update(self, labels, preds):
"""Update the hyper-parameters and loss of CapsNet"""
batch_sum_metric = 0
batch_num_inst = 0
for label, pred_outcaps in zip(labels[0], preds[0]):
label_np = int(label.asnumpy())
pred_label = int(np.argmax(pred_outcaps.asnumpy()))
batch_sum_metric += int(label_np == pred_label)
batch_num_inst += 1
batch_loss = preds[1].asnumpy()
recon_loss = preds[2].asnumpy()
self.sum_metric += batch_sum_metric
self.num_inst += batch_num_inst
self.loss += batch_loss
self.recon_loss += recon_loss
self.batch_sum_metric = batch_sum_metric
self.batch_num_inst = batch_num_inst
self.batch_loss = batch_loss
self.n_batch += 1
|
python
|
def update(self, labels, preds):
"""Update the hyper-parameters and loss of CapsNet"""
batch_sum_metric = 0
batch_num_inst = 0
for label, pred_outcaps in zip(labels[0], preds[0]):
label_np = int(label.asnumpy())
pred_label = int(np.argmax(pred_outcaps.asnumpy()))
batch_sum_metric += int(label_np == pred_label)
batch_num_inst += 1
batch_loss = preds[1].asnumpy()
recon_loss = preds[2].asnumpy()
self.sum_metric += batch_sum_metric
self.num_inst += batch_num_inst
self.loss += batch_loss
self.recon_loss += recon_loss
self.batch_sum_metric = batch_sum_metric
self.batch_num_inst = batch_num_inst
self.batch_loss = batch_loss
self.n_batch += 1
|
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"batch_loss",
"=",
"batch_loss",
"self",
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"+=",
"1"
] |
Update the hyper-parameters and loss of CapsNet
|
[
"Update",
"the",
"hyper",
"-",
"parameters",
"and",
"loss",
"of",
"CapsNet"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/capsnet/capsulenet.py#L140-L158
|
train
|
Update the hyper - parameters and loss of CapsNet
|
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(402 - 354) + chr(6158 - 6047) + '\064' + chr(1356 - 1306), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(0b110110) + chr(51), 62688 - 62680), ehT0Px3KOsy9(chr(550 - 502) + chr(12216 - 12105) + '\x32' + '\066' + '\x31', 15563 - 15555), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(97 - 47) + chr(0b110110) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(0b101101 + 0o102) + '\x31' + '\x33' + chr(54), 47353 - 47345), ehT0Px3KOsy9('\060' + chr(4694 - 4583) + chr(0b110011) + '\063' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(2202 - 2148) + '\061', 8), ehT0Px3KOsy9(chr(48) + chr(0b110 + 0o151) + chr(51) + chr(54) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\x35' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(1600 - 1551) + chr(0b100011 + 0o21), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010010 + 0o35) + chr(0b110001) + '\x33' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100000 + 0o117) + chr(0b100011 + 0o17) + '\x30', 31247 - 31239), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b1010 + 0o52) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(1747 - 1692) + chr(52), 41625 - 41617), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011100 + 0o23) + chr(0b110011) + '\x35', 24022 - 24014), ehT0Px3KOsy9('\060' + '\157' + chr(0b110100) + '\067', 29892 - 29884), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110101) + chr(1165 - 1114), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1110 + 0o43) + chr(49) + chr(0b100 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101100 + 0o103) + chr(0b110110) + chr(0b110111), 36264 - 36256), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101011 + 0o14) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + '\063' + chr(0b100101 + 0o13), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + '\061' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b110011) + chr(1990 - 1936), 22181 - 22173), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(0b110100) + '\x32', 52828 - 52820), ehT0Px3KOsy9(chr(0b110000) + chr(0b11100 + 0o123) + chr(50) + chr(52) + chr(1614 - 1564), 8), ehT0Px3KOsy9('\060' + chr(334 - 223) + '\063' + chr(0b110101) + chr(0b101001 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(6384 - 6273) + chr(1867 - 1818) + '\062' + chr(0b11101 + 0o24), 0b1000), ehT0Px3KOsy9('\x30' + chr(2136 - 2025) + '\065' + chr(0b100010 + 0o24), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b1001 + 0o53) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(707 - 657) + chr(48), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\x33' + '\x33', 0o10), ehT0Px3KOsy9(chr(938 - 890) + chr(111) + '\x33' + chr(0b110111) + '\x32', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\066' + chr(1246 - 1195), 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + '\062' + '\x33' + chr(0b111 + 0o54), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(51) + '\064', 0b1000), ehT0Px3KOsy9(chr(1761 - 1713) + chr(111) + chr(0b110001) + chr(483 - 432), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100110 + 0o20) + chr(0b1011 + 0o53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(0b110000 + 0o2) + '\x32', 9309 - 9301), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10100 + 0o36) + chr(0b110111) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(1195 - 1142) + chr(914 - 859), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(1792 - 1681) + chr(53) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c'), chr(607 - 507) + '\145' + chr(99) + chr(0b11110 + 0o121) + chr(0b111 + 0o135) + chr(0b101111 + 0o66))('\165' + '\x74' + chr(0b1100110) + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZtAEiNJny4e0(oVre8I6UXc3b, uXMK81tmdpTM, rFir39ju85_Z):
F747lAOCC_yN = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101101 + 0o2) + '\x30', 0o10)
kjffEUDFJmlN = ehT0Px3KOsy9('\060' + chr(3392 - 3281) + '\060', 8)
for (TRUOLFLuD08x, rHqICnLW5cqD) in pZ0NK2y6HRbn(uXMK81tmdpTM[ehT0Px3KOsy9(chr(658 - 610) + '\157' + '\x30', 8)], rFir39ju85_Z[ehT0Px3KOsy9('\060' + chr(111) + chr(0b110000), 8)]):
DCQKjZJ1MM0r = ehT0Px3KOsy9(TRUOLFLuD08x.asnumpy())
BS0ONpRSlWAN = ehT0Px3KOsy9(WqUC3KWvYVup.argmax(rHqICnLW5cqD.asnumpy()))
F747lAOCC_yN += ehT0Px3KOsy9(DCQKjZJ1MM0r == BS0ONpRSlWAN)
kjffEUDFJmlN += ehT0Px3KOsy9(chr(0b110000) + chr(0b100111 + 0o110) + chr(49), 0o10)
m7ogtGwPIgoz = rFir39ju85_Z[ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(0b1000 + 0o51), 8)].asnumpy()
DxAKNTI3R7yL = rFir39ju85_Z[ehT0Px3KOsy9('\x30' + chr(11572 - 11461) + chr(0b110010), 29249 - 29241)].asnumpy()
oVre8I6UXc3b.jGUwTiF22LVj += F747lAOCC_yN
oVre8I6UXc3b._cdA_ca5MiLS += kjffEUDFJmlN
oVre8I6UXc3b.YpO0BcZ6fMsf += m7ogtGwPIgoz
oVre8I6UXc3b.DxAKNTI3R7yL += DxAKNTI3R7yL
oVre8I6UXc3b.F747lAOCC_yN = F747lAOCC_yN
oVre8I6UXc3b.kjffEUDFJmlN = kjffEUDFJmlN
oVre8I6UXc3b.m7ogtGwPIgoz = m7ogtGwPIgoz
oVre8I6UXc3b.LdP7W3hulWdy += ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + chr(49), 8)
|
apache/incubator-mxnet
|
example/capsnet/capsulenet.py
|
MNISTCustomIter.reset
|
def reset(self):
"""Reset class MNISTCustomIter(mx.io.NDArrayIter):"""
# shuffle data
if self.is_train:
np.random.shuffle(self.idx)
self.data = _shuffle(self.data, self.idx)
self.label = _shuffle(self.label, self.idx)
if self.last_batch_handle == 'roll_over' and self.cursor > self.num_data:
self.cursor = -self.batch_size + (self.cursor % self.num_data) % self.batch_size
else:
self.cursor = -self.batch_size
|
python
|
def reset(self):
"""Reset class MNISTCustomIter(mx.io.NDArrayIter):"""
# shuffle data
if self.is_train:
np.random.shuffle(self.idx)
self.data = _shuffle(self.data, self.idx)
self.label = _shuffle(self.label, self.idx)
if self.last_batch_handle == 'roll_over' and self.cursor > self.num_data:
self.cursor = -self.batch_size + (self.cursor % self.num_data) % self.batch_size
else:
self.cursor = -self.batch_size
|
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"batch_size"
] |
Reset class MNISTCustomIter(mx.io.NDArrayIter):
|
[
"Reset",
"class",
"MNISTCustomIter",
"(",
"mx",
".",
"io",
".",
"NDArrayIter",
")",
":"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/capsnet/capsulenet.py#L287-L298
|
train
|
Reset the MNIST custom iterator.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(51) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100011 + 0o16) + '\x33' + chr(0b110111), 36286 - 36278), ehT0Px3KOsy9(chr(481 - 433) + '\x6f' + chr(0b100010 + 0o20) + '\062' + chr(736 - 687), 59046 - 59038), ehT0Px3KOsy9(chr(2163 - 2115) + chr(9928 - 9817) + chr(0b100010 + 0o22) + chr(2227 - 2177), 0b1000), ehT0Px3KOsy9(chr(48) + chr(4019 - 3908) + '\067' + '\x35', 0b1000), ehT0Px3KOsy9(chr(688 - 640) + chr(111) + '\x32' + '\060' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + '\060' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101110 + 0o1) + chr(55), 17215 - 17207), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(0b100111 + 0o15) + chr(0b110010), 4117 - 4109), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1010 + 0o47) + chr(0b110011) + chr(48), 0o10), ehT0Px3KOsy9('\060' + chr(1528 - 1417) + chr(0b11001 + 0o32) + chr(1372 - 1322) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(1905 - 1857) + chr(111) + chr(0b110001) + chr(590 - 542) + chr(0b1010 + 0o55), 0o10), ehT0Px3KOsy9('\x30' + chr(6820 - 6709) + chr(394 - 344) + chr(0b110100) + chr(0b11101 + 0o30), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(48) + chr(2124 - 2071), 13575 - 13567), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + '\x33' + chr(568 - 516) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(54) + '\064', 55390 - 55382), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(0b11111 + 0o23) + chr(55) + '\x34', 55830 - 55822), ehT0Px3KOsy9('\060' + chr(9246 - 9135) + chr(0b110001) + chr(0b10101 + 0o33) + '\064', 8), ehT0Px3KOsy9(chr(1670 - 1622) + chr(6414 - 6303) + chr(0b11110 + 0o24) + '\064' + chr(1856 - 1803), 8), ehT0Px3KOsy9(chr(477 - 429) + chr(111) + chr(0b110110) + chr(0b10111 + 0o33), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1063 - 1012) + chr(0b110001 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1101 + 0o44) + chr(1630 - 1578) + chr(0b110000), 9566 - 9558), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101010 + 0o11) + chr(1420 - 1369) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(995 - 884) + chr(49) + chr(2816 - 2762) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b101000 + 0o12) + chr(0b100000 + 0o26), 50430 - 50422), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(0b1011 + 0o52), ord("\x08")), ehT0Px3KOsy9(chr(186 - 138) + chr(0b1100001 + 0o16) + '\x36' + chr(52), 1888 - 1880), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\060' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + '\066', 11102 - 11094), ehT0Px3KOsy9(chr(1395 - 1347) + chr(0b1011110 + 0o21) + chr(0b101110 + 0o3) + '\062', 2387 - 2379), ehT0Px3KOsy9('\060' + chr(3633 - 3522) + '\x32' + chr(0b110100 + 0o0) + '\x35', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100001 + 0o23), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2456 - 2406) + chr(50) + chr(0b10001 + 0o41), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b1001 + 0o55), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(1055 - 1007), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\x33', 45736 - 45728), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100101 + 0o16) + chr(2187 - 2134) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\067' + chr(2799 - 2746), 0o10), ehT0Px3KOsy9(chr(48) + chr(11408 - 11297) + chr(53), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(1716 - 1665) + '\063' + '\067', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1001110 + 0o41) + chr(53) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0'), '\144' + chr(0b1100101) + '\143' + '\x6f' + chr(0b100010 + 0o102) + chr(0b101010 + 0o73))(chr(117) + chr(0b1010000 + 0o44) + chr(0b1100110) + chr(0b10001 + 0o34) + chr(0b10011 + 0o45)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def G0V856pwkJmZ(oVre8I6UXc3b):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7,\xceVO\xe0-i'), '\144' + chr(2385 - 2284) + chr(0b1100011) + '\x6f' + '\x64' + chr(0b1010001 + 0o24))(chr(0b1110101) + '\164' + chr(6548 - 6446) + chr(0b11110 + 0o17) + chr(0b111000))):
xafqLlk3kkUe(WqUC3KWvYVup.random, xafqLlk3kkUe(SXOLrMavuUCe(b'\xed7\xe4D[\xed!'), '\x64' + chr(0b100 + 0o141) + chr(99) + '\x6f' + '\144' + chr(0b11 + 0o142))(chr(0b1100110 + 0o17) + chr(2568 - 2452) + '\x66' + '\x2d' + chr(0b11011 + 0o35)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc73\xe0WN\xd8\x061+6\xb9\n'), chr(0b1000011 + 0o41) + chr(0b111011 + 0o52) + chr(0b11100 + 0o107) + chr(11674 - 11563) + chr(0b1010101 + 0o17) + chr(101))('\165' + chr(116) + chr(0b1100110) + chr(472 - 427) + chr(0b110100 + 0o4))))
oVre8I6UXc3b.ULnjp6D6efFH = Kbv0trXIqePg(oVre8I6UXc3b.ULnjp6D6efFH, oVre8I6UXc3b.YlqusYB6InkM)
oVre8I6UXc3b.TRUOLFLuD08x = Kbv0trXIqePg(oVre8I6UXc3b.TRUOLFLuD08x, oVre8I6UXc3b.YlqusYB6InkM)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2>\xe2Vb\xe3%s\x010\x8d/\xc4+\x87\xd8\xd9'), chr(0b1100100) + chr(0b1011000 + 0o15) + chr(824 - 725) + chr(0b1101111) + '\144' + '\145')(chr(0b1110101) + chr(7350 - 7234) + chr(0b1100110) + chr(0b101101) + chr(0b11010 + 0o36))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xec0\xfdNb\xee2b\x10'), chr(4831 - 4731) + chr(2277 - 2176) + chr(0b100100 + 0o77) + chr(0b1101111) + chr(0b1100100) + chr(101))('\165' + chr(0b1110100) + '\146' + chr(0b101101) + chr(56)) and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4+\xf2rP\xcf\x1e]\r\x07\xb5\x0b'), chr(100) + chr(0b11101 + 0o110) + '\x63' + '\157' + chr(0b1100100) + chr(0b101011 + 0o72))(chr(0b1110 + 0o147) + chr(0b1100101 + 0o17) + '\146' + chr(0b1000 + 0o45) + '\070')) > xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0*\xfc}Y\xe00f'), chr(100) + chr(101) + chr(0b110101 + 0o56) + '\157' + chr(100) + chr(3118 - 3017))(chr(117) + '\164' + chr(0b1100110) + '\055' + chr(0b111000))):
oVre8I6UXc3b.jtcPmNZZo_gL = -oVre8I6UXc3b.ix9dZyeAmUxY + oVre8I6UXc3b.jtcPmNZZo_gL % oVre8I6UXc3b.num_data % oVre8I6UXc3b.ix9dZyeAmUxY
else:
oVre8I6UXc3b.jtcPmNZZo_gL = -oVre8I6UXc3b.ix9dZyeAmUxY
|
apache/incubator-mxnet
|
example/capsnet/capsulenet.py
|
MNISTCustomIter.next
|
def next(self):
"""Generate next of iterator"""
if self.iter_next():
if self.is_train:
data_raw_list = self.getdata()
data_shifted = []
for data_raw in data_raw_list[0]:
data_shifted.append(random_shift(data_raw.asnumpy(), 0.1, 0.1))
return mx.io.DataBatch(data=[mx.nd.array(data_shifted)], label=self.getlabel(),
pad=self.getpad(), index=None)
else:
return mx.io.DataBatch(data=self.getdata(), label=self.getlabel(), pad=self.getpad(), index=None)
else:
raise StopIteration
|
python
|
def next(self):
"""Generate next of iterator"""
if self.iter_next():
if self.is_train:
data_raw_list = self.getdata()
data_shifted = []
for data_raw in data_raw_list[0]:
data_shifted.append(random_shift(data_raw.asnumpy(), 0.1, 0.1))
return mx.io.DataBatch(data=[mx.nd.array(data_shifted)], label=self.getlabel(),
pad=self.getpad(), index=None)
else:
return mx.io.DataBatch(data=self.getdata(), label=self.getlabel(), pad=self.getpad(), index=None)
else:
raise StopIteration
|
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] |
Generate next of iterator
|
[
"Generate",
"next",
"of",
"iterator"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/capsnet/capsulenet.py#L304-L318
|
train
|
Generate next of iterator
|
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(49) + '\x32' + chr(0b11100 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111010 + 0o65) + chr(0b11101 + 0o30) + chr(0b101000 + 0o14), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10111 + 0o33) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x36' + '\060', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1020 - 971) + chr(0b110110) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + chr(1674 - 1623) + chr(0b110101) + chr(0b101000 + 0o10), 0b1000), ehT0Px3KOsy9(chr(585 - 537) + '\x6f' + chr(50) + '\x34' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101000 + 0o7) + chr(51) + '\x35' + chr(53), 48679 - 48671), ehT0Px3KOsy9('\060' + chr(9900 - 9789) + chr(0b100101 + 0o15) + chr(0b101100 + 0o13) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(1323 - 1275) + chr(0b1101111) + chr(49) + '\067' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(9010 - 8899) + '\x37' + '\061', 63164 - 63156), ehT0Px3KOsy9('\x30' + chr(0b110 + 0o151) + chr(0b11100 + 0o26) + '\061' + chr(48), 15480 - 15472), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\x6f' + chr(0b110001) + chr(0b111 + 0o51) + chr(0b11 + 0o62), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + '\x35' + '\x35', 27349 - 27341), ehT0Px3KOsy9(chr(0b110000) + chr(8665 - 8554) + chr(0b110001) + '\067' + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100011 + 0o16) + chr(0b110001) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + '\061' + '\064' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(48) + chr(0b110 + 0o52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x35' + chr(1169 - 1121), 0b1000), ehT0Px3KOsy9('\060' + chr(3191 - 3080) + '\063' + '\060' + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + '\062' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b10100 + 0o35) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(11450 - 11339) + chr(0b110011 + 0o1) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b101111 + 0o100) + chr(49) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + chr(0b101100 + 0o5) + '\064' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100110 + 0o111) + chr(2069 - 2019) + '\065' + '\x35', 57857 - 57849), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(1240 - 1129) + chr(0b110010) + chr(55) + chr(0b110111), 13855 - 13847), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100101 + 0o12) + chr(53) + chr(0b1 + 0o64), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + '\x34' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\x37' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\x33' + chr(1590 - 1538), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b1101 + 0o47) + chr(0b110100 + 0o1), 35558 - 35550), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(0b1011 + 0o46) + chr(0b101000 + 0o15) + chr(0b101111 + 0o2), 36893 - 36885), ehT0Px3KOsy9(chr(260 - 212) + '\157' + chr(0b10000 + 0o41) + chr(0b110111) + chr(51), 18281 - 18273), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(0b110100) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + '\x36' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(0b110110) + '\060', 11972 - 11964), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(612 - 557) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011110 + 0o21) + chr(1023 - 973) + '\x32' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + '\x31' + chr(0b101111 + 0o10) + chr(1083 - 1034), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + '\x35' + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'z'), '\x64' + chr(101) + chr(9747 - 9648) + '\157' + chr(100) + chr(0b1100101))(chr(117) + '\x74' + '\x66' + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def nSwwHEeM4cxI(oVre8I6UXc3b):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'=XvB)\x86\xc1\x95\xcc'), '\144' + chr(101) + '\x63' + chr(0b1101111) + chr(0b1010101 + 0o17) + chr(0b1011101 + 0o10))(chr(0b1110101) + chr(116) + chr(2113 - 2011) + '\x2d' + chr(56)))():
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'=_LD\x04\x89\xcd\x83'), chr(9312 - 9212) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b100000 + 0o104) + chr(2729 - 2628))(chr(0b1010001 + 0o44) + chr(5669 - 5553) + chr(0b1100110) + chr(1197 - 1152) + chr(227 - 171))):
s5vtEd4tgGmj = oVre8I6UXc3b.getdata()
CIkhOOPt15XP = []
for ihZ_XAo5AYMK in s5vtEd4tgGmj[ehT0Px3KOsy9('\x30' + '\157' + '\060', ord("\x08"))]:
xafqLlk3kkUe(CIkhOOPt15XP, xafqLlk3kkUe(SXOLrMavuUCe(b'5\\cU\x18\x8c'), '\x64' + '\145' + '\x63' + chr(111) + chr(0b11101 + 0o107) + '\x65')('\165' + '\164' + chr(2828 - 2726) + chr(1366 - 1321) + '\070'))(wPzBWYEQhOKq(xafqLlk3kkUe(ihZ_XAo5AYMK, xafqLlk3kkUe(SXOLrMavuUCe(b'5_}E\x1b\x98\xdd'), chr(100) + chr(9335 - 9234) + chr(0b1100011) + chr(0b1000001 + 0o56) + chr(0b1100100) + chr(0b10001 + 0o124))('\165' + '\x74' + '\146' + '\x2d' + chr(56)))(), 0.1, 0.1))
return xafqLlk3kkUe(CIVheOt0RKQX.io, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10MgQ4\x89\xd0\x8e\xd0'), '\x64' + chr(101) + '\143' + chr(2549 - 2438) + '\144' + chr(101))(chr(117) + '\164' + chr(1443 - 1341) + chr(45) + chr(745 - 689)))(data=[xafqLlk3kkUe(CIVheOt0RKQX.nd, xafqLlk3kkUe(SXOLrMavuUCe(b'\x16\x1cv`2\x80\xd4\x9c\xc00\x0c\xe6'), '\x64' + '\x65' + chr(8529 - 8430) + '\157' + '\144' + '\145')(chr(0b101011 + 0o112) + chr(9702 - 9586) + chr(0b1100110) + '\055' + chr(0b111000)))(CIkhOOPt15XP)], label=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'3Ig\\\x17\x8a\xc1\x81'), '\x64' + chr(101) + chr(0b1100011) + chr(12024 - 11913) + '\144' + chr(0b1100101))('\x75' + chr(116) + chr(0b1001100 + 0o32) + chr(45) + chr(409 - 353)))(), pad=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'3Ig@\x17\x8c'), '\144' + chr(101) + '\143' + '\157' + '\144' + chr(101))(chr(896 - 779) + chr(0b1110100) + '\x66' + chr(0b101101) + '\x38'))(), index=None)
else:
return xafqLlk3kkUe(CIVheOt0RKQX.io, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10MgQ4\x89\xd0\x8e\xd0'), '\144' + chr(101) + '\143' + '\x6f' + '\144' + '\x65')(chr(0b1110101) + '\164' + chr(2148 - 2046) + chr(1008 - 963) + '\070'))(data=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'3IgT\x17\x9c\xc5'), chr(0b100000 + 0o104) + chr(3868 - 3767) + chr(0b1100011) + chr(111) + chr(0b1011111 + 0o5) + chr(101))(chr(0b11 + 0o162) + '\164' + chr(102) + chr(888 - 843) + '\070'))(), label=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'3Ig\\\x17\x8a\xc1\x81'), chr(0b1100000 + 0o4) + '\145' + '\x63' + chr(427 - 316) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(0b1001101 + 0o47) + '\146' + '\x2d' + '\070'))(), pad=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'3Ig@\x17\x8c'), '\144' + '\145' + chr(0b1100011) + chr(3493 - 3382) + chr(100) + '\145')(chr(117) + chr(0b1110100) + chr(0b10000 + 0o126) + '\055' + '\x38'))(), index=None)
else:
raise hr2QaoivbFQ2
|
apache/incubator-mxnet
|
python/mxnet/attribute.py
|
AttrScope.get
|
def get(self, attr):
"""
Get the attribute dict given the attribute set by the symbol.
Parameters
----------
attr : dict of string to string
The attribute passed in by user during symbol creation.
Returns
-------
attr : dict of string to string
Updated attributes to add other scope related attributes.
"""
if self._attr:
ret = self._attr.copy()
if attr:
ret.update(attr)
return ret
else:
return attr if attr else {}
|
python
|
def get(self, attr):
"""
Get the attribute dict given the attribute set by the symbol.
Parameters
----------
attr : dict of string to string
The attribute passed in by user during symbol creation.
Returns
-------
attr : dict of string to string
Updated attributes to add other scope related attributes.
"""
if self._attr:
ret = self._attr.copy()
if attr:
ret.update(attr)
return ret
else:
return attr if attr else {}
|
[
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"(",
")",
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".",
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"(",
"attr",
")",
"return",
"ret",
"else",
":",
"return",
"attr",
"if",
"attr",
"else",
"{",
"}"
] |
Get the attribute dict given the attribute set by the symbol.
Parameters
----------
attr : dict of string to string
The attribute passed in by user during symbol creation.
Returns
-------
attr : dict of string to string
Updated attributes to add other scope related attributes.
|
[
"Get",
"the",
"attribute",
"dict",
"given",
"the",
"attribute",
"set",
"by",
"the",
"symbol",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/attribute.py#L47-L67
|
train
|
Get the attribute dict given the attribute set by the symbol.
|
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(0b101010 + 0o105) + chr(0b110001) + chr(0b110000) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(697 - 646) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10355 - 10244) + chr(50) + '\061' + chr(48), 0o10), ehT0Px3KOsy9(chr(1222 - 1174) + '\157' + '\x31' + '\063' + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(55) + '\x33', 0b1000), ehT0Px3KOsy9(chr(2231 - 2183) + chr(0b111 + 0o150) + '\062' + '\x32' + chr(429 - 377), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + '\063' + chr(2200 - 2151) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(0b110001) + chr(0b110010) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11000 + 0o32) + '\x32' + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(5620 - 5509) + chr(0b100010 + 0o17) + chr(53) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7966 - 7855) + chr(0b100110 + 0o15) + '\065' + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(2481 - 2431) + '\061', 47250 - 47242), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(2527 - 2474) + '\067', 31760 - 31752), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b110000) + chr(0b110101 + 0o0), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x36' + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(2098 - 2049) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1902 - 1853) + chr(1658 - 1610) + '\061', 25920 - 25912), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010 + 0o0) + chr(54) + chr(1084 - 1033), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101101 + 0o2) + chr(51) + '\064' + chr(48), 64329 - 64321), ehT0Px3KOsy9(chr(938 - 890) + chr(111) + '\063' + '\x37', 0o10), ehT0Px3KOsy9(chr(1769 - 1721) + chr(111) + chr(51) + chr(0b110001) + chr(0b1 + 0o63), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b0 + 0o62) + chr(52) + chr(0b110110), 44882 - 44874), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + '\x31' + '\x33', 61480 - 61472), ehT0Px3KOsy9(chr(48) + chr(7847 - 7736) + chr(307 - 257) + '\061', 5327 - 5319), ehT0Px3KOsy9(chr(517 - 469) + '\157' + chr(1428 - 1379) + '\061' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\x31' + chr(0b110111), 5419 - 5411), ehT0Px3KOsy9(chr(1991 - 1943) + chr(0b1101111) + chr(1300 - 1251) + chr(0b101101 + 0o7) + chr(2215 - 2167), 9578 - 9570), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(49) + '\066' + chr(0b110100), 7730 - 7722), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\065' + chr(726 - 676), 447 - 439), ehT0Px3KOsy9('\060' + chr(0b1011111 + 0o20) + '\x31' + chr(49) + chr(0b1 + 0o60), 15078 - 15070), ehT0Px3KOsy9(chr(0b110000) + chr(9720 - 9609) + chr(0b101 + 0o55) + chr(476 - 425) + chr(1591 - 1542), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1173 - 1123) + chr(0b10101 + 0o34) + '\x30', 8), ehT0Px3KOsy9(chr(1609 - 1561) + chr(1504 - 1393) + chr(0b11100 + 0o25) + chr(0b1 + 0o64) + chr(1711 - 1656), 8), ehT0Px3KOsy9(chr(48) + chr(0b1000101 + 0o52) + '\x32' + chr(0b110110) + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(449 - 396) + chr(0b11110 + 0o31), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(51) + '\x32' + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1111 + 0o42) + chr(53) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(939 - 888) + '\x30' + '\062', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b110111 + 0o70) + chr(0b110101) + chr(48), 47728 - 47720)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'h'), '\x64' + chr(0b1100101) + chr(0b100001 + 0o102) + chr(6499 - 6388) + chr(0b1100100) + chr(0b1100000 + 0o5))('\x75' + chr(0b1010000 + 0o44) + chr(0b1100110) + chr(228 - 183) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Q8b5UytA0vqH(oVre8I6UXc3b, uwnd9_euJYKT):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x19\xf8\xfc-\t'), chr(100) + '\145' + '\143' + chr(0b1101111) + '\144' + chr(0b1000111 + 0o36))(chr(1481 - 1364) + '\x74' + '\x66' + '\055' + chr(0b101000 + 0o20))):
VHn4CV4Ymrei = oVre8I6UXc3b._attr.igThHS4jwVsa()
if uwnd9_euJYKT:
xafqLlk3kkUe(VHn4CV4Ymrei, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c\xed\xc9\x1c\x12\xda]\xa6)\xa5\x0e\xda'), '\144' + chr(0b111 + 0o136) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(0b100000 + 0o105))('\x75' + '\x74' + chr(0b101101 + 0o71) + chr(1065 - 1020) + chr(0b111000)))(uwnd9_euJYKT)
return VHn4CV4Ymrei
else:
return uwnd9_euJYKT if uwnd9_euJYKT else {}
|
apache/incubator-mxnet
|
python/mxnet/model.py
|
_create_sparse_kvstore
|
def _create_sparse_kvstore(kvstore):
"""Create kvstore assuming some parameters' storage types are row_sparse.
Parameters
----------
kvstore : KVStore or str
The kvstore.
Returns
-------
kvstore : KVStore
update_on_kvstore : bool. Always True.
"""
# always update on kvstore
update_on_kvstore = True
if isinstance(kvstore, kvs.KVStore):
kv = kvstore
elif isinstance(kvstore, str):
kv = kvs.create(kvstore)
else:
raise TypeError("Cannot create '%s' KVStore with row_sparse parameters. "
"The type must be KVStore or str." % kvstore)
return (kv, update_on_kvstore)
|
python
|
def _create_sparse_kvstore(kvstore):
"""Create kvstore assuming some parameters' storage types are row_sparse.
Parameters
----------
kvstore : KVStore or str
The kvstore.
Returns
-------
kvstore : KVStore
update_on_kvstore : bool. Always True.
"""
# always update on kvstore
update_on_kvstore = True
if isinstance(kvstore, kvs.KVStore):
kv = kvstore
elif isinstance(kvstore, str):
kv = kvs.create(kvstore)
else:
raise TypeError("Cannot create '%s' KVStore with row_sparse parameters. "
"The type must be KVStore or str." % kvstore)
return (kv, update_on_kvstore)
|
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"def",
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"update_on_kvstore",
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"kvs",
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"kvstore",
",",
"str",
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"kvs",
".",
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"else",
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"TypeError",
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"\"Cannot create '%s' KVStore with row_sparse parameters. \"",
"\"The type must be KVStore or str.\"",
"%",
"kvstore",
")",
"return",
"(",
"kv",
",",
"update_on_kvstore",
")"
] |
Create kvstore assuming some parameters' storage types are row_sparse.
Parameters
----------
kvstore : KVStore or str
The kvstore.
Returns
-------
kvstore : KVStore
update_on_kvstore : bool. Always True.
|
[
"Create",
"kvstore",
"assuming",
"some",
"parameters",
"storage",
"types",
"are",
"row_sparse",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/model.py#L58-L80
|
train
|
Create a kvstore assuming some parameters storage types are row_sparse.
|
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(51), ord("\x08")), ehT0Px3KOsy9(chr(1290 - 1242) + chr(0b1101111) + chr(0b10111 + 0o36) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000000 + 0o57) + chr(0b110100) + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(0b11010 + 0o125) + '\x32' + chr(0b10001 + 0o37) + chr(561 - 509), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110001 + 0o76) + chr(1005 - 956) + chr(0b110111) + chr(0b1101 + 0o43), 23066 - 23058), ehT0Px3KOsy9(chr(1082 - 1034) + chr(0b1101111) + '\x31' + '\067' + chr(2644 - 2589), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(0b11011 + 0o33) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100 + 0o143) + '\x31' + chr(2737 - 2683) + chr(850 - 795), 51317 - 51309), ehT0Px3KOsy9(chr(48) + chr(0b110 + 0o151) + '\x33' + chr(49) + chr(49), 33288 - 33280), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(54) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4049 - 3938) + '\x31' + '\064' + '\065', 0b1000), ehT0Px3KOsy9(chr(79 - 31) + '\x6f' + chr(0b110011) + '\061' + chr(0b110010 + 0o0), 34664 - 34656), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(1458 - 1410) + chr(52), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(2401 - 2346) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + chr(0b110010) + chr(0b100101 + 0o13), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(0b10101 + 0o34) + chr(48) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(51) + chr(0b110011 + 0o0), 0o10), ehT0Px3KOsy9(chr(1915 - 1867) + chr(0b1 + 0o156) + chr(51) + '\060' + chr(0b1110 + 0o46), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(2315 - 2263) + '\060', 4333 - 4325), ehT0Px3KOsy9(chr(513 - 465) + chr(0b1101111) + '\062' + chr(0b110011) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110111) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1856 - 1808) + '\157' + chr(50) + '\065' + '\x37', 21868 - 21860), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(11770 - 11659) + '\063' + '\x37', 30188 - 30180), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(50) + '\066', 0b1000), ehT0Px3KOsy9(chr(228 - 180) + '\x6f' + chr(0b100 + 0o55) + chr(0b110101) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(3062 - 2951) + '\065' + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x34' + '\x33', 12863 - 12855), ehT0Px3KOsy9(chr(493 - 445) + '\x6f' + chr(0b110011) + chr(0b1101 + 0o46) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\x33' + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(0b100101 + 0o112) + '\x33' + '\x34' + chr(0b10101 + 0o33), 18294 - 18286), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101 + 0o54) + '\x32' + chr(48), 32129 - 32121), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(0b1000 + 0o51), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101110 + 0o5) + '\061' + chr(0b110111), 407 - 399), ehT0Px3KOsy9('\060' + chr(111) + chr(1725 - 1676) + chr(0b110111) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + '\x35' + chr(50), 11782 - 11774), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(50), 27659 - 27651), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + '\x37' + chr(0b11 + 0o56), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101110 + 0o1) + chr(49) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(0b110001) + chr(0b0 + 0o61) + chr(0b100 + 0o55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b100110 + 0o111) + '\063' + '\067' + chr(1376 - 1328), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + '\x35' + chr(590 - 542), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'-'), chr(4210 - 4110) + chr(0b101 + 0o140) + '\x63' + chr(0b1010100 + 0o33) + chr(0b1100100) + chr(101))('\165' + chr(116) + chr(0b1100110) + chr(45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def YNKV9xO7EK4F(Dlwsb3sX_cE9):
nvCDOV9Kw0Jr = ehT0Px3KOsy9(chr(48) + '\157' + chr(2306 - 2257), ord("\x08"))
if PlSM16l2KDPD(Dlwsb3sX_cE9, xafqLlk3kkUe(vZwbiqXEysCW, xafqLlk3kkUe(SXOLrMavuUCe(b'Hyt\xf0\x17\r\x97'), '\144' + chr(101) + '\x63' + chr(111) + chr(2595 - 2495) + chr(101))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(727 - 682) + chr(0b10010 + 0o46)))):
oG9AO0uxBJ0V = Dlwsb3sX_cE9
elif PlSM16l2KDPD(Dlwsb3sX_cE9, M8_cKLkHVB2V):
oG9AO0uxBJ0V = vZwbiqXEysCW.zXm8hKpI6bmL(Dlwsb3sX_cE9)
else:
raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'@NI\xea\x17\x0b\xd2\x14\xbbP\x04\xbe\xe1\xdf7e(\xe3\x00\xd6n\xfck\xb9\x1fH\x03\xac\xf3\x9481\xbd\x11]]\nx(\x8apJ\x07\xf4\x19\r\x93\x1a\xacA\x00\xb8\xf7\xd10\x143\xa1\x00\xe9A\xdfz\xf6\x00XP\xaf\xba\x8251\x84(yv\x16z,\xd8l]\x07\xf7\x0c\r\xdc'), chr(0b1010000 + 0o24) + '\145' + chr(0b1010101 + 0o16) + chr(111) + chr(0b10011 + 0o121) + chr(101))(chr(0b1111 + 0o146) + chr(6209 - 6093) + '\x66' + chr(0b101101) + chr(0b111000)) % Dlwsb3sX_cE9)
return (oG9AO0uxBJ0V, nvCDOV9Kw0Jr)
|
apache/incubator-mxnet
|
python/mxnet/model.py
|
_create_kvstore
|
def _create_kvstore(kvstore, num_device, arg_params):
"""Create kvstore
This function select and create a proper kvstore if given the kvstore type.
Parameters
----------
kvstore : KVStore or str
The kvstore.
num_device : int
The number of devices
arg_params : dict of str to `NDArray`.
Model parameter, dict of name to `NDArray` of net's weights.
"""
update_on_kvstore = bool(int(os.getenv('MXNET_UPDATE_ON_KVSTORE', "1")))
if kvstore is None:
kv = None
elif isinstance(kvstore, kvs.KVStore):
kv = kvstore
elif isinstance(kvstore, str):
# create kvstore using the string type
if num_device == 1 and 'dist' not in kvstore:
# no need to use kv for single device and single machine
kv = None
else:
kv = kvs.create(kvstore)
if kvstore == 'local':
# automatically select a proper local
max_size = max(np.prod(param.shape) for param in
arg_params.values())
if max_size > 1024 * 1024 * 16:
update_on_kvstore = False
else:
raise TypeError('kvstore must be KVStore, str or None')
if kv is None:
update_on_kvstore = False
return (kv, update_on_kvstore)
|
python
|
def _create_kvstore(kvstore, num_device, arg_params):
"""Create kvstore
This function select and create a proper kvstore if given the kvstore type.
Parameters
----------
kvstore : KVStore or str
The kvstore.
num_device : int
The number of devices
arg_params : dict of str to `NDArray`.
Model parameter, dict of name to `NDArray` of net's weights.
"""
update_on_kvstore = bool(int(os.getenv('MXNET_UPDATE_ON_KVSTORE', "1")))
if kvstore is None:
kv = None
elif isinstance(kvstore, kvs.KVStore):
kv = kvstore
elif isinstance(kvstore, str):
# create kvstore using the string type
if num_device == 1 and 'dist' not in kvstore:
# no need to use kv for single device and single machine
kv = None
else:
kv = kvs.create(kvstore)
if kvstore == 'local':
# automatically select a proper local
max_size = max(np.prod(param.shape) for param in
arg_params.values())
if max_size > 1024 * 1024 * 16:
update_on_kvstore = False
else:
raise TypeError('kvstore must be KVStore, str or None')
if kv is None:
update_on_kvstore = False
return (kv, update_on_kvstore)
|
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] |
Create kvstore
This function select and create a proper kvstore if given the kvstore type.
Parameters
----------
kvstore : KVStore or str
The kvstore.
num_device : int
The number of devices
arg_params : dict of str to `NDArray`.
Model parameter, dict of name to `NDArray` of net's weights.
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/model.py#L82-L119
|
train
|
Create a kvstore if given the kvstore type.
|
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(2692 - 2581) + '\061' + '\x32' + chr(2056 - 2007), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(50) + chr(0b110001 + 0o6), 0b1000), ehT0Px3KOsy9(chr(1329 - 1281) + '\157' + '\063' + '\062' + chr(1855 - 1803), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b10110 + 0o131) + chr(51) + chr(48) + chr(49), 0o10), ehT0Px3KOsy9(chr(978 - 930) + chr(0b101011 + 0o104) + chr(0b110001) + chr(0b100000 + 0o20) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(0b110110) + chr(545 - 496), 1266 - 1258), ehT0Px3KOsy9('\x30' + chr(0b1110 + 0o141) + '\066' + chr(0b1000 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(0b110011) + chr(48), 54971 - 54963), ehT0Px3KOsy9('\060' + chr(6961 - 6850) + '\x32' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(805 - 757) + '\x6f' + '\063' + chr(52) + chr(206 - 152), 24477 - 24469), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(2574 - 2520) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(0b100111 + 0o13) + chr(0b10100 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + '\063' + chr(0b1001 + 0o51), 0b1000), ehT0Px3KOsy9(chr(1741 - 1693) + '\x6f' + chr(51) + chr(0b110001) + chr(1258 - 1210), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(1914 - 1862) + chr(0b110101 + 0o1), 8), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b110 + 0o151) + chr(2615 - 2560), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111110 + 0o61) + chr(53) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11101 + 0o25) + chr(0b0 + 0o60) + '\066', 64792 - 64784), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(107 - 55) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(0b100110 + 0o111) + chr(0b110 + 0o54) + chr(0b110010) + chr(0b110000 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011110 + 0o21) + '\x33' + '\x31' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(2172 - 2121) + chr(49) + chr(2060 - 2009), 0b1000), ehT0Px3KOsy9('\060' + chr(9164 - 9053) + chr(2582 - 2527), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1817 - 1766) + chr(0b101011 + 0o7) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(2230 - 2179) + '\062' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(51) + '\064' + '\x36', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(528 - 479) + chr(0b11110 + 0o25), 8), ehT0Px3KOsy9('\060' + '\157' + chr(2343 - 2293) + chr(0b11010 + 0o33) + chr(279 - 229), 0b1000), ehT0Px3KOsy9(chr(356 - 308) + '\x6f' + chr(0b101010 + 0o7) + chr(54) + chr(55), 7968 - 7960), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(0b110011) + '\067' + chr(1857 - 1809), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1001 + 0o53) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(50) + chr(0b101 + 0o53) + '\064', 1515 - 1507), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b110000) + chr(0b100101 + 0o17), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1370 - 1320) + chr(866 - 814) + chr(48), 0b1000), ehT0Px3KOsy9(chr(1238 - 1190) + chr(0b11010 + 0o125) + chr(2036 - 1987) + chr(1413 - 1360) + '\063', 0b1000), ehT0Px3KOsy9(chr(1519 - 1471) + '\x6f' + '\x33' + chr(0b1111 + 0o41) + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b10100 + 0o43), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b110010) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10851 - 10740) + '\x37' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(0b110011), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f'), chr(100) + chr(0b1101 + 0o130) + chr(0b1100011) + chr(0b100000 + 0o117) + '\x64' + chr(0b10111 + 0o116))('\165' + chr(5113 - 4997) + chr(0b1100110) + chr(747 - 702) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZNmqNxQ78i5a(Dlwsb3sX_cE9, hwr41SLRqulw, GroVdzCONmWS):
nvCDOV9Kw0Jr = WbBjf8Y7v9VN(ehT0Px3KOsy9(oqhJDdMJfuwx.getenv(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c\x0f\x9a\x84\x14\xeeb\xc8U\xa7\xe7\x11E\x87\xa8Xd\xd0\xf1\xc6\x85\x99B'), chr(100) + chr(9382 - 9281) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))('\165' + chr(0b1110100) + chr(102) + chr(441 - 396) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'`'), chr(0b1010000 + 0o24) + chr(0b1011000 + 0o15) + chr(99) + chr(111) + chr(0b10111 + 0o115) + '\x65')(chr(10179 - 10062) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(714 - 658)))))
if Dlwsb3sX_cE9 is None:
oG9AO0uxBJ0V = None
elif PlSM16l2KDPD(Dlwsb3sX_cE9, xafqLlk3kkUe(vZwbiqXEysCW, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a\x01\x87\xb5/\xc3R'), chr(0b1100100) + '\145' + '\143' + '\157' + chr(100) + chr(101))('\x75' + '\x74' + chr(0b1100110) + '\055' + chr(0b111000)))):
oG9AO0uxBJ0V = Dlwsb3sX_cE9
elif PlSM16l2KDPD(Dlwsb3sX_cE9, M8_cKLkHVB2V):
if hwr41SLRqulw == ehT0Px3KOsy9('\x30' + chr(111) + chr(49), 0b1000) and xafqLlk3kkUe(SXOLrMavuUCe(b'5>\xa7\xb5'), chr(0b1010011 + 0o21) + '\145' + chr(8767 - 8668) + '\157' + chr(100) + '\x65')(chr(0b1110101) + '\x74' + '\146' + '\x2d' + chr(0b111000)) not in Dlwsb3sX_cE9:
oG9AO0uxBJ0V = None
else:
oG9AO0uxBJ0V = vZwbiqXEysCW.zXm8hKpI6bmL(Dlwsb3sX_cE9)
if Dlwsb3sX_cE9 == xafqLlk3kkUe(SXOLrMavuUCe(b'=8\xb7\xa0,'), chr(0b1001000 + 0o34) + '\145' + '\x63' + chr(0b1101111) + '\144' + '\x65')(chr(117) + '\164' + chr(102) + '\055' + chr(0b111000)):
suUT3WkEy2BX = tsdjvlgh9gDP((WqUC3KWvYVup.lBYk79l4Nk8h(NOaGA2BHucaX.nauYfLglTpcb) for NOaGA2BHucaX in GroVdzCONmWS.SPnCNu54H1db()))
if suUT3WkEy2BX > ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101111 + 0o3) + chr(48) + chr(0b11010 + 0o26) + '\060', 0b1000) * ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + '\062' + '\x30' + chr(0b110000) + '\x30', 8) * ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + '\x32' + '\x30', 0o10):
nvCDOV9Kw0Jr = ehT0Px3KOsy9('\x30' + '\157' + chr(1515 - 1467), ord("\x08"))
else:
raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b":!\xa7\xb5/\xc3R\xb8|\x93\xc0 :\xaa\x83'd\xd0\xf1\xe6\xa5\xb9b\xff\xf0\x95\xbf\xd8W\x97Q\xa4\x8a\xcf\x05\xa6"), '\x64' + chr(4994 - 4893) + chr(0b100011 + 0o100) + '\157' + chr(1577 - 1477) + chr(0b1011110 + 0o7))(chr(117) + '\164' + chr(102) + '\055' + chr(0b111000)))
if oG9AO0uxBJ0V is None:
nvCDOV9Kw0Jr = ehT0Px3KOsy9(chr(80 - 32) + chr(6725 - 6614) + chr(441 - 393), 8)
return (oG9AO0uxBJ0V, nvCDOV9Kw0Jr)
|
apache/incubator-mxnet
|
python/mxnet/model.py
|
_initialize_kvstore
|
def _initialize_kvstore(kvstore, param_arrays, arg_params, param_names, update_on_kvstore):
"""Initialize kvstore"""
for idx, param_on_devs in enumerate(param_arrays):
name = param_names[idx]
kvstore.init(name, arg_params[name])
if update_on_kvstore:
kvstore.pull(name, param_on_devs, priority=-idx)
|
python
|
def _initialize_kvstore(kvstore, param_arrays, arg_params, param_names, update_on_kvstore):
"""Initialize kvstore"""
for idx, param_on_devs in enumerate(param_arrays):
name = param_names[idx]
kvstore.init(name, arg_params[name])
if update_on_kvstore:
kvstore.pull(name, param_on_devs, priority=-idx)
|
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] |
Initialize kvstore
|
[
"Initialize",
"kvstore"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/model.py#L121-L128
|
train
|
Initialize the kvstore with the given parameters.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(2086 - 2038) + '\157' + '\061' + chr(0b101011 + 0o12) + chr(1392 - 1343), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10246 - 10135) + chr(1791 - 1740) + chr(2382 - 2330) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(1919 - 1808) + chr(0b100 + 0o55) + chr(0b1011 + 0o52) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b110101 + 0o72) + chr(0b110001) + chr(1111 - 1062) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11011 + 0o26) + chr(54), 2262 - 2254), ehT0Px3KOsy9('\x30' + chr(0b1100100 + 0o13) + chr(0b110010) + '\067' + chr(0b10101 + 0o34), 65190 - 65182), ehT0Px3KOsy9('\060' + chr(8048 - 7937) + chr(1653 - 1601) + chr(0b110010), 42279 - 42271), ehT0Px3KOsy9('\060' + chr(0b1001100 + 0o43) + chr(1525 - 1476) + chr(0b101010 + 0o6) + chr(1432 - 1384), 58437 - 58429), ehT0Px3KOsy9(chr(850 - 802) + chr(0b1101111) + chr(0b101001 + 0o15) + chr(0b110000), 9827 - 9819), ehT0Px3KOsy9(chr(48) + '\157' + chr(233 - 183) + chr(0b110101) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(9478 - 9367) + '\x33' + '\x30' + chr(0b110100 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101000 + 0o15) + chr(2906 - 2852), 21854 - 21846), ehT0Px3KOsy9(chr(695 - 647) + chr(0b111001 + 0o66) + chr(0b110010) + '\x30' + chr(783 - 731), 52195 - 52187), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x36' + chr(808 - 758), ord("\x08")), ehT0Px3KOsy9(chr(1434 - 1386) + '\157' + chr(2315 - 2265) + chr(0b100100 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\x6f' + '\x32' + chr(0b10001 + 0o45) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b10110 + 0o37), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\066' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(1815 - 1762), 8), ehT0Px3KOsy9(chr(1557 - 1509) + '\157' + '\x33' + chr(556 - 507) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\x33' + chr(0b110001), 23096 - 23088), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\066' + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\x31' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1001001 + 0o46) + '\061' + chr(2438 - 2385) + chr(0b1110 + 0o46), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + '\x34' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100001 + 0o21) + chr(54), 8), ehT0Px3KOsy9('\x30' + chr(3548 - 3437) + '\061' + '\x33' + chr(1848 - 1793), 64062 - 64054), ehT0Px3KOsy9('\x30' + chr(2446 - 2335) + chr(0b11100 + 0o27) + chr(51) + chr(49), 8), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + chr(0b110001) + chr(0b110010) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + '\063' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(1671 - 1623) + '\157' + '\x31' + chr(0b110111) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1907 - 1857) + chr(50) + chr(0b1001 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(1325 - 1277) + chr(9221 - 9110) + chr(49) + chr(0b110011) + chr(141 - 90), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1100 + 0o143) + chr(0b10 + 0o61) + chr(1758 - 1707) + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(138 - 83) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + chr(0b110010) + '\064' + chr(0b100100 + 0o22), 19074 - 19066), ehT0Px3KOsy9('\060' + chr(0b1100000 + 0o17) + chr(49) + '\064' + '\062', 26908 - 26900), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(969 - 915) + chr(1142 - 1089), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + '\067' + chr(0b110011 + 0o4), 0b1000), ehT0Px3KOsy9(chr(1344 - 1296) + chr(111) + chr(343 - 294) + chr(0b100000 + 0o21) + chr(0b110111), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110000 + 0o5) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'G'), '\144' + chr(101) + '\x63' + chr(0b1101111) + chr(8238 - 8138) + chr(9196 - 9095))(chr(0b10110 + 0o137) + chr(116) + chr(0b1100110) + chr(882 - 837) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def F9gDUkmgBvxp(Dlwsb3sX_cE9, IFj0xeHCaGrO, GroVdzCONmWS, FDgTD8rHpSh6, nvCDOV9Kw0Jr):
for (YlqusYB6InkM, CrljtkZ5SSs0) in YlkZvXL8qwsX(IFj0xeHCaGrO):
AIvJRzLdDfgF = FDgTD8rHpSh6[YlqusYB6InkM]
xafqLlk3kkUe(Dlwsb3sX_cE9, xafqLlk3kkUe(SXOLrMavuUCe(b'(\xd0+\x06~\xd2f3W\xfe\xf3{'), '\x64' + chr(101) + chr(99) + chr(1090 - 979) + '\x64' + chr(101))('\x75' + '\164' + '\x66' + '\055' + chr(1553 - 1497)))(AIvJRzLdDfgF, GroVdzCONmWS[AIvJRzLdDfgF])
if nvCDOV9Kw0Jr:
xafqLlk3kkUe(Dlwsb3sX_cE9, xafqLlk3kkUe(SXOLrMavuUCe(b'\x19\x90\x00#'), chr(0b1100100) + '\x65' + '\143' + chr(5070 - 4959) + chr(100) + '\x65')(chr(0b1110101) + chr(9127 - 9011) + '\146' + '\x2d' + chr(0b111000)))(AIvJRzLdDfgF, CrljtkZ5SSs0, priority=-YlqusYB6InkM)
|
apache/incubator-mxnet
|
python/mxnet/model.py
|
_update_params_on_kvstore_nccl
|
def _update_params_on_kvstore_nccl(param_arrays, grad_arrays, kvstore, param_names):
"""Perform update of param_arrays from grad_arrays on NCCL kvstore."""
valid_indices = [index for index, grad_list in
enumerate(grad_arrays) if grad_list[0] is not None]
valid_grad_arrays = [grad_arrays[i] for i in valid_indices]
valid_param_arrays = [param_arrays[i] for i in valid_indices]
valid_param_names = [param_names[i] for i in valid_indices]
size = len(valid_grad_arrays)
start = 0
# Use aggregation by default only with NCCL
default_batch = '16'
batch = int(os.getenv('MXNET_UPDATE_AGGREGATION_SIZE', default_batch))
while start < size:
end = start + batch if start + batch < size else size
# push gradient, priority is negative index
kvstore.push(valid_param_names[start:end], valid_grad_arrays[start:end], priority=-start)
# pull back the weights
kvstore.pull(valid_param_names[start:end], valid_param_arrays[start:end], priority=-start)
start = end
|
python
|
def _update_params_on_kvstore_nccl(param_arrays, grad_arrays, kvstore, param_names):
"""Perform update of param_arrays from grad_arrays on NCCL kvstore."""
valid_indices = [index for index, grad_list in
enumerate(grad_arrays) if grad_list[0] is not None]
valid_grad_arrays = [grad_arrays[i] for i in valid_indices]
valid_param_arrays = [param_arrays[i] for i in valid_indices]
valid_param_names = [param_names[i] for i in valid_indices]
size = len(valid_grad_arrays)
start = 0
# Use aggregation by default only with NCCL
default_batch = '16'
batch = int(os.getenv('MXNET_UPDATE_AGGREGATION_SIZE', default_batch))
while start < size:
end = start + batch if start + batch < size else size
# push gradient, priority is negative index
kvstore.push(valid_param_names[start:end], valid_grad_arrays[start:end], priority=-start)
# pull back the weights
kvstore.pull(valid_param_names[start:end], valid_param_arrays[start:end], priority=-start)
start = end
|
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Perform update of param_arrays from grad_arrays on NCCL kvstore.
|
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/model.py#L130-L148
|
train
|
Perform update of param_arrays from grad_arrays on NCCL 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(1933 - 1885) + chr(9627 - 9516) + chr(0b100111 + 0o12) + chr(0b1 + 0o62) + '\x33', 6956 - 6948), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b110110) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + '\063' + chr(54) + '\066', 47989 - 47981), ehT0Px3KOsy9('\x30' + chr(111) + chr(743 - 694) + chr(434 - 383) + chr(90 - 41), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11111 + 0o24) + chr(690 - 641), 26727 - 26719), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + chr(0b110001) + chr(50), 33045 - 33037), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(514 - 464), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\065' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\x34' + chr(1050 - 1002), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000111 + 0o50) + '\066' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b0 + 0o64) + chr(0b100010 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(864 - 816) + chr(10429 - 10318) + '\x32' + '\062' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1965 - 1917) + chr(111) + chr(0b100 + 0o55) + chr(0b110001) + chr(802 - 749), 9795 - 9787), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(0b11100 + 0o25) + chr(0b110000) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1966 - 1918) + chr(0b1101111) + '\x31' + chr(52) + '\067', 0b1000), ehT0Px3KOsy9(chr(1702 - 1654) + '\157' + chr(49) + chr(50) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(167 - 117) + chr(49) + chr(0b1100 + 0o50), 5190 - 5182), ehT0Px3KOsy9(chr(713 - 665) + chr(111) + chr(0b101010 + 0o7) + chr(539 - 490) + chr(52), 30215 - 30207), ehT0Px3KOsy9('\060' + chr(111) + chr(2297 - 2248) + chr(52) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(3570 - 3459) + '\066' + chr(52), 8), ehT0Px3KOsy9(chr(2195 - 2147) + '\x6f' + chr(0b100000 + 0o22) + '\063' + chr(55), 44245 - 44237), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010 + 0o0) + '\x37' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + chr(950 - 900) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(2165 - 2110) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\x33' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b111 + 0o51), 56851 - 56843), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(0b101 + 0o54) + chr(0b110110) + chr(0b100000 + 0o20), 26643 - 26635), ehT0Px3KOsy9(chr(764 - 716) + chr(111) + '\067' + '\067', 36729 - 36721), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + '\063' + '\x37', 18609 - 18601), ehT0Px3KOsy9('\x30' + chr(1376 - 1265) + chr(0b110001) + chr(52) + chr(1155 - 1107), 0o10), ehT0Px3KOsy9(chr(48) + chr(6446 - 6335) + chr(276 - 226) + chr(2348 - 2295) + chr(1816 - 1761), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1727 - 1676) + '\x30' + chr(1658 - 1606), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(868 - 818) + chr(0b101111 + 0o2) + '\060', 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(3461 - 3350) + chr(0b11 + 0o60) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100001 + 0o22) + '\060' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(7921 - 7810) + '\x31' + chr(53) + chr(790 - 738), ord("\x08")), ehT0Px3KOsy9(chr(878 - 830) + '\157' + '\x32' + chr(0b110000), 56288 - 56280), ehT0Px3KOsy9('\x30' + chr(0b1101111 + 0o0) + chr(0b11110 + 0o23) + chr(55) + chr(0b11 + 0o56), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(6858 - 6747) + chr(0b110101) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'u'), chr(100) + chr(0b111001 + 0o54) + chr(0b1011000 + 0o13) + chr(0b1101001 + 0o6) + '\x64' + chr(0b1100101))(chr(117) + chr(0b1110100) + '\146' + '\x2d' + chr(2042 - 1986)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def aotv1LTeyCTM(IFj0xeHCaGrO, _ffNipEkE2UF, Dlwsb3sX_cE9, FDgTD8rHpSh6):
ygTfNOIMW8Zm = [XdowRbJKZWL9 for (XdowRbJKZWL9, JMEIbb0VfHWk) in YlkZvXL8qwsX(_ffNipEkE2UF) if JMEIbb0VfHWk[ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(0b110000), ord("\x08"))] is not None]
sTopVyOnaUj2 = [_ffNipEkE2UF[WVxHKyX45z_L] for WVxHKyX45z_L in ygTfNOIMW8Zm]
tw3maRvWvCbe = [IFj0xeHCaGrO[WVxHKyX45z_L] for WVxHKyX45z_L in ygTfNOIMW8Zm]
B18MrfQ0EGAt = [FDgTD8rHpSh6[WVxHKyX45z_L] for WVxHKyX45z_L in ygTfNOIMW8Zm]
NLcc3BCJnQka = c2A0yzQpDQB3(sTopVyOnaUj2)
avRbFsnfJxQj = ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(0b110000), 8)
EBp56ecXpV82 = xafqLlk3kkUe(SXOLrMavuUCe(b'j\xc7'), chr(0b101 + 0o137) + '\x65' + chr(9785 - 9686) + chr(5543 - 5432) + chr(357 - 257) + chr(101))(chr(12727 - 12610) + '\164' + chr(0b1100000 + 0o6) + '\x2d' + chr(56))
dNwAahu8tvoY = ehT0Px3KOsy9(oqhJDdMJfuwx.getenv(xafqLlk3kkUe(SXOLrMavuUCe(b'\x16\xa9\xb8\x1cMUG\xb8\xe4uu\xd3\x12\x06 \x17\xde\t&u\xcb\xf0^\xb0\x07[c*z'), chr(0b11011 + 0o111) + chr(101) + chr(0b1100011) + '\157' + chr(2886 - 2786) + chr(0b1000001 + 0o44))(chr(0b1000011 + 0o62) + '\x74' + '\146' + chr(45) + chr(415 - 359)), EBp56ecXpV82))
while avRbFsnfJxQj < NLcc3BCJnQka:
whWDZq5_lP01 = avRbFsnfJxQj + dNwAahu8tvoY if avRbFsnfJxQj + dNwAahu8tvoY < NLcc3BCJnQka else NLcc3BCJnQka
xafqLlk3kkUe(Dlwsb3sX_cE9, xafqLlk3kkUe(SXOLrMavuUCe(b'+\x84\x851'), chr(0b1010111 + 0o15) + chr(2400 - 2299) + chr(0b1100011) + chr(2125 - 2014) + chr(0b100010 + 0o102) + '\x65')(chr(0b1110101) + chr(116) + chr(7011 - 6909) + chr(1988 - 1943) + chr(2299 - 2243)))(B18MrfQ0EGAt[avRbFsnfJxQj:whWDZq5_lP01], sTopVyOnaUj2[avRbFsnfJxQj:whWDZq5_lP01], priority=-avRbFsnfJxQj)
xafqLlk3kkUe(Dlwsb3sX_cE9, xafqLlk3kkUe(SXOLrMavuUCe(b'+\x84\x9a5'), '\144' + chr(101) + '\x63' + chr(0b1101111) + '\x64' + chr(101))(chr(10291 - 10174) + chr(3502 - 3386) + chr(0b1110 + 0o130) + '\x2d' + '\x38'))(B18MrfQ0EGAt[avRbFsnfJxQj:whWDZq5_lP01], tw3maRvWvCbe[avRbFsnfJxQj:whWDZq5_lP01], priority=-avRbFsnfJxQj)
avRbFsnfJxQj = whWDZq5_lP01
|
apache/incubator-mxnet
|
python/mxnet/model.py
|
_update_params_on_kvstore
|
def _update_params_on_kvstore(param_arrays, grad_arrays, kvstore, param_names):
"""Perform update of param_arrays from grad_arrays on kvstore."""
for index, pair in enumerate(zip(param_arrays, grad_arrays)):
arg_list, grad_list = pair
if grad_list[0] is None:
continue
name = param_names[index]
# push gradient, priority is negative index
kvstore.push(name, grad_list, priority=-index)
# pull back the weights
kvstore.pull(name, arg_list, priority=-index)
|
python
|
def _update_params_on_kvstore(param_arrays, grad_arrays, kvstore, param_names):
"""Perform update of param_arrays from grad_arrays on kvstore."""
for index, pair in enumerate(zip(param_arrays, grad_arrays)):
arg_list, grad_list = pair
if grad_list[0] is None:
continue
name = param_names[index]
# push gradient, priority is negative index
kvstore.push(name, grad_list, priority=-index)
# pull back the weights
kvstore.pull(name, arg_list, priority=-index)
|
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Perform update of param_arrays from grad_arrays on kvstore.
|
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/model.py#L150-L160
|
train
|
Perform update of param_arrays from grad_arrays on kvstore.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + '\067' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1157 - 1108) + '\066' + '\063', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + '\x37' + chr(0b110 + 0o55), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101110 + 0o5) + chr(0b110000 + 0o1) + chr(0b11000 + 0o36), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1000111 + 0o50) + chr(0b101010 + 0o11) + '\062' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(10370 - 10259) + chr(0b110010) + chr(0b100 + 0o54) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(0b100010 + 0o25) + chr(1456 - 1408), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1745 - 1634) + '\x32' + chr(2136 - 2085) + chr(486 - 433), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(0b110110) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(52) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101000 + 0o7) + chr(51) + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(3875 - 3764) + chr(0b110011) + chr(0b11111 + 0o21) + '\062', 0b1000), ehT0Px3KOsy9(chr(1728 - 1680) + chr(111) + chr(1980 - 1929) + chr(54) + chr(0b11001 + 0o27), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10000 + 0o47) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + '\x35' + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(2316 - 2264) + chr(79 - 29), ord("\x08")), ehT0Px3KOsy9(chr(1191 - 1143) + chr(111) + chr(0b110010) + chr(0b101010 + 0o6) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(589 - 540) + chr(705 - 650) + chr(1675 - 1621), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1010101 + 0o32) + '\062' + chr(0b110000) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\065' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(703 - 655) + '\x6f' + chr(52) + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(2138 - 2085) + '\060', 5481 - 5473), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(53) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100110 + 0o111) + '\062' + chr(0b1101 + 0o45) + '\x34', 0o10), ehT0Px3KOsy9(chr(527 - 479) + chr(7038 - 6927) + '\063' + chr(52) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b10101 + 0o33) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b0 + 0o67) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10100 + 0o35) + chr(51) + chr(0b101110 + 0o4), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(8923 - 8812) + '\x33' + '\x33' + chr(52), 0o10), ehT0Px3KOsy9(chr(1725 - 1677) + chr(0b1101111) + chr(0b110001) + chr(0b110100) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(2074 - 2026) + '\x6f' + chr(0b1100 + 0o46) + '\067' + chr(0b10000 + 0o43), 0b1000), ehT0Px3KOsy9(chr(48) + chr(1997 - 1886) + chr(50) + chr(0b110000) + chr(0b10000 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(11318 - 11207) + chr(50) + chr(0b11110 + 0o22) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(9228 - 9117) + chr(2073 - 2022) + '\x34' + chr(49), 29540 - 29532), ehT0Px3KOsy9('\060' + chr(3926 - 3815) + '\x31' + chr(0b110011) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1011 + 0o50) + chr(0b110000) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\062' + chr(0b1111 + 0o50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(10026 - 9915) + '\x34', 23517 - 23509), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1011010 + 0o25) + chr(1541 - 1490) + chr(0b11101 + 0o26) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + '\064' + chr(0b11100 + 0o26), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(488 - 377) + '\065' + '\060', 44528 - 44520)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x92'), chr(7497 - 7397) + '\145' + chr(0b111000 + 0o53) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(2043 - 1926) + '\x74' + chr(636 - 534) + '\x2d' + chr(577 - 521)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def fjHKNFUyRiFp(IFj0xeHCaGrO, _ffNipEkE2UF, Dlwsb3sX_cE9, FDgTD8rHpSh6):
for (XdowRbJKZWL9, juRoAwq4N67F) in YlkZvXL8qwsX(pZ0NK2y6HRbn(IFj0xeHCaGrO, _ffNipEkE2UF)):
(_EiuN9jmz6YR, JMEIbb0VfHWk) = juRoAwq4N67F
if JMEIbb0VfHWk[ehT0Px3KOsy9(chr(318 - 270) + '\x6f' + chr(1715 - 1667), 0b1000)] is None:
continue
AIvJRzLdDfgF = FDgTD8rHpSh6[XdowRbJKZWL9]
xafqLlk3kkUe(Dlwsb3sX_cE9, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\x06\x08\xa6'), chr(100) + chr(0b1 + 0o144) + chr(2568 - 2469) + '\x6f' + chr(100) + chr(0b1100101))(chr(4596 - 4479) + chr(0b1000001 + 0o63) + '\146' + '\x2d' + '\070'))(AIvJRzLdDfgF, JMEIbb0VfHWk, priority=-XdowRbJKZWL9)
xafqLlk3kkUe(Dlwsb3sX_cE9, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\x06\x17\xa2'), chr(352 - 252) + chr(0b110 + 0o137) + '\x63' + chr(111) + chr(100) + chr(7673 - 7572))('\165' + chr(12018 - 11902) + '\x66' + chr(45) + chr(824 - 768)))(AIvJRzLdDfgF, _EiuN9jmz6YR, priority=-XdowRbJKZWL9)
|
apache/incubator-mxnet
|
python/mxnet/model.py
|
_update_params
|
def _update_params(param_arrays, grad_arrays, updater, num_device,
kvstore=None, param_names=None):
"""Perform update of param_arrays from grad_arrays not on kvstore."""
updates = [[] for _ in range(num_device)]
for i, pair in enumerate(zip(param_arrays, grad_arrays)):
arg_list, grad_list = pair
if grad_list[0] is None:
continue
index = i
if kvstore:
name = param_names[index]
# push gradient, priority is negative index
kvstore.push(name, grad_list, priority=-index)
# pull back the sum gradients, to the same locations.
kvstore.pull(name, grad_list, priority=-index)
for k, p in enumerate(zip(arg_list, grad_list)):
# faked an index here, to make optimizer create diff
# state for the same index but on diff devs, TODO(mli)
# use a better solution later
w, g = p
updates[k].append((index*num_device+k, g, w))
for dev_updates in updates:
# update params if param_arrays and grad_arrays are not empty
if dev_updates:
i, w, g = zip(*dev_updates)
updater(i, w, g)
|
python
|
def _update_params(param_arrays, grad_arrays, updater, num_device,
kvstore=None, param_names=None):
"""Perform update of param_arrays from grad_arrays not on kvstore."""
updates = [[] for _ in range(num_device)]
for i, pair in enumerate(zip(param_arrays, grad_arrays)):
arg_list, grad_list = pair
if grad_list[0] is None:
continue
index = i
if kvstore:
name = param_names[index]
# push gradient, priority is negative index
kvstore.push(name, grad_list, priority=-index)
# pull back the sum gradients, to the same locations.
kvstore.pull(name, grad_list, priority=-index)
for k, p in enumerate(zip(arg_list, grad_list)):
# faked an index here, to make optimizer create diff
# state for the same index but on diff devs, TODO(mli)
# use a better solution later
w, g = p
updates[k].append((index*num_device+k, g, w))
for dev_updates in updates:
# update params if param_arrays and grad_arrays are not empty
if dev_updates:
i, w, g = zip(*dev_updates)
updater(i, w, g)
|
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Perform update of param_arrays from grad_arrays not on kvstore.
|
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/model.py#L162-L187
|
train
|
Perform update of param_arrays from grad_arrays not 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' + '\x37' + chr(0b110000), 45475 - 45467), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1111 + 0o140) + '\061' + chr(1775 - 1720) + chr(52), 41187 - 41179), ehT0Px3KOsy9(chr(1362 - 1314) + '\x6f' + chr(0b1 + 0o60) + chr(1413 - 1363) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(4152 - 4041) + '\x33' + '\x31' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(243 - 195) + '\157' + chr(54) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(9514 - 9403) + chr(0b110001) + chr(48) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100101 + 0o15) + chr(0b10000 + 0o46) + chr(0b101100 + 0o5), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + '\x33' + '\062' + chr(51), 0o10), ehT0Px3KOsy9(chr(909 - 861) + chr(0b110100 + 0o73) + chr(0b110011) + '\x36', 0o10), ehT0Px3KOsy9(chr(213 - 165) + chr(0b1101111) + chr(0b10000 + 0o41) + chr(0b110010) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2365 - 2315) + '\067' + chr(0b10101 + 0o36), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(0b1101 + 0o44) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010000 + 0o37) + chr(1545 - 1494) + '\x35' + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + '\x33' + '\062', 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(2337 - 2226) + '\067' + chr(0b100100 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(48) + chr(0b110110), 20806 - 20798), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(9521 - 9410) + chr(52) + '\x34', 39078 - 39070), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + chr(1737 - 1687) + chr(0b100101 + 0o17) + '\x35', 21499 - 21491), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(54) + chr(804 - 752), 59461 - 59453), ehT0Px3KOsy9(chr(0b110000) + chr(0b111111 + 0o60) + chr(0b110010) + chr(346 - 296) + chr(0b1001 + 0o47), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x35' + chr(1100 - 1049), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101100 + 0o5) + chr(0b101001 + 0o12), 37426 - 37418), ehT0Px3KOsy9(chr(0b110000) + chr(0b11010 + 0o125) + chr(1592 - 1543) + chr(48) + chr(48), 47571 - 47563), ehT0Px3KOsy9(chr(1147 - 1099) + chr(9106 - 8995) + chr(49) + '\063' + chr(0b110001), 10916 - 10908), ehT0Px3KOsy9(chr(1978 - 1930) + '\x6f' + chr(50) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11632 - 11521) + chr(1576 - 1527) + chr(0b110011 + 0o4), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + '\061' + chr(0b110100), 24249 - 24241), ehT0Px3KOsy9(chr(48) + chr(324 - 213) + chr(55) + chr(51), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + '\x37' + chr(0b110010), 28411 - 28403), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(3306 - 3195) + chr(1574 - 1523) + chr(0b110011) + chr(1500 - 1445), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b10100 + 0o42) + chr(943 - 889), ord("\x08")), ehT0Px3KOsy9(chr(943 - 895) + chr(111) + chr(0b110010) + '\060' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1010000 + 0o37) + '\x33' + '\x36' + chr(0b100000 + 0o21), 63338 - 63330), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110111) + '\x37', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11000 + 0o127) + '\x36' + chr(0b110011 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(496 - 448) + '\x6f' + chr(0b110010) + '\x30' + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000100 + 0o53) + '\x32' + '\066' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(425 - 377) + chr(918 - 807) + chr(0b10 + 0o61) + chr(0b110101) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + '\x30' + chr(50), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(458 - 405) + chr(0b100010 + 0o16), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x16'), chr(0b1100100) + chr(0b101110 + 0o67) + chr(99) + '\157' + '\144' + chr(2387 - 2286))(chr(6120 - 6003) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(1728 - 1672)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Iiw4mXbucshH(IFj0xeHCaGrO, _ffNipEkE2UF, xZ9ED1z8lews, hwr41SLRqulw, Dlwsb3sX_cE9=None, FDgTD8rHpSh6=None):
LXT8Y1stdAnh = [[] for VNGQdHSFPrso in vQr8gNKaIaWE(hwr41SLRqulw)]
for (WVxHKyX45z_L, juRoAwq4N67F) in YlkZvXL8qwsX(pZ0NK2y6HRbn(IFj0xeHCaGrO, _ffNipEkE2UF)):
(_EiuN9jmz6YR, JMEIbb0VfHWk) = juRoAwq4N67F
if JMEIbb0VfHWk[ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2232 - 2184), 0o10)] is None:
continue
XdowRbJKZWL9 = WVxHKyX45z_L
if Dlwsb3sX_cE9:
AIvJRzLdDfgF = FDgTD8rHpSh6[XdowRbJKZWL9]
xafqLlk3kkUe(Dlwsb3sX_cE9, xafqLlk3kkUe(SXOLrMavuUCe(b"H\t'\xa6"), chr(9380 - 9280) + chr(0b1100101) + chr(0b1011 + 0o130) + chr(111) + '\144' + chr(0b100110 + 0o77))(chr(5199 - 5082) + chr(116) + chr(4303 - 4201) + chr(0b1000 + 0o45) + chr(0b111000)))(AIvJRzLdDfgF, JMEIbb0VfHWk, priority=-XdowRbJKZWL9)
xafqLlk3kkUe(Dlwsb3sX_cE9, xafqLlk3kkUe(SXOLrMavuUCe(b'H\t8\xa2'), chr(0b111001 + 0o53) + chr(8836 - 8735) + chr(0b101110 + 0o65) + chr(111) + chr(0b10000 + 0o124) + chr(3182 - 3081))('\x75' + '\x74' + chr(0b100000 + 0o106) + chr(453 - 408) + chr(0b110011 + 0o5)))(AIvJRzLdDfgF, JMEIbb0VfHWk, priority=-XdowRbJKZWL9)
for (OolUPRJhRaJd, UyakMW2IMFEj) in YlkZvXL8qwsX(pZ0NK2y6HRbn(_EiuN9jmz6YR, JMEIbb0VfHWk)):
(AOfzRywRzEXp, RWHpzFEeviFP) = UyakMW2IMFEj
xafqLlk3kkUe(LXT8Y1stdAnh[OolUPRJhRaJd], xafqLlk3kkUe(SXOLrMavuUCe(b'Y\x0c$\xab_!'), '\144' + chr(0b1100101) + chr(99) + '\157' + '\144' + chr(0b1100 + 0o131))('\x75' + chr(152 - 36) + chr(102) + chr(0b101101) + chr(2797 - 2741)))((XdowRbJKZWL9 * hwr41SLRqulw + OolUPRJhRaJd, RWHpzFEeviFP, AOfzRywRzEXp))
for nk_SjiGiJvy8 in LXT8Y1stdAnh:
if nk_SjiGiJvy8:
(WVxHKyX45z_L, AOfzRywRzEXp, RWHpzFEeviFP) = pZ0NK2y6HRbn(*nk_SjiGiJvy8)
xZ9ED1z8lews(WVxHKyX45z_L, AOfzRywRzEXp, RWHpzFEeviFP)
|
apache/incubator-mxnet
|
python/mxnet/model.py
|
_multiple_callbacks
|
def _multiple_callbacks(callbacks, *args, **kwargs):
"""Sends args and kwargs to any configured callbacks.
This handles the cases where the 'callbacks' variable
is ``None``, a single function, or a list.
"""
if isinstance(callbacks, list):
for cb in callbacks:
cb(*args, **kwargs)
return
if callbacks:
callbacks(*args, **kwargs)
|
python
|
def _multiple_callbacks(callbacks, *args, **kwargs):
"""Sends args and kwargs to any configured callbacks.
This handles the cases where the 'callbacks' variable
is ``None``, a single function, or a list.
"""
if isinstance(callbacks, list):
for cb in callbacks:
cb(*args, **kwargs)
return
if callbacks:
callbacks(*args, **kwargs)
|
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] |
Sends args and kwargs to any configured callbacks.
This handles the cases where the 'callbacks' variable
is ``None``, a single function, or a list.
|
[
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/model.py#L190-L200
|
train
|
Sends args and kwargs to any configured callbacks.
|
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(8500 - 8389) + chr(0b100110 + 0o13) + chr(0b110000) + chr(248 - 195), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1010111 + 0o30) + chr(51) + '\x34' + '\061', 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + '\x32' + '\x34' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b11010 + 0o125) + chr(49) + chr(2213 - 2162), ord("\x08")), ehT0Px3KOsy9('\060' + chr(6065 - 5954) + chr(51) + '\066' + chr(0b1 + 0o63), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000001 + 0o56) + '\x33' + chr(1142 - 1087) + chr(0b100110 + 0o13), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10011 + 0o134) + chr(55) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(9400 - 9289) + chr(0b11011 + 0o26) + chr(0b110010) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(49) + chr(883 - 830), 38064 - 38056), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110101) + chr(0b11000 + 0o37), 39458 - 39450), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1001 + 0o52) + chr(0b10111 + 0o37) + '\064', 8), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(0b11001 + 0o34) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(53) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + '\x32' + chr(53) + chr(852 - 804), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b10111 + 0o31) + chr(0b101001 + 0o15), 0o10), ehT0Px3KOsy9(chr(176 - 128) + '\157' + chr(0b110011) + chr(0b110111) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1010100 + 0o33) + chr(0b1011 + 0o50) + '\x36' + chr(0b1011 + 0o46), 32897 - 32889), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\060' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + '\067' + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10101 + 0o35) + chr(55) + chr(55), 60511 - 60503), ehT0Px3KOsy9(chr(1735 - 1687) + chr(111) + chr(763 - 712) + chr(0b10001 + 0o42) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101010 + 0o105) + chr(0b110010) + chr(1990 - 1936) + chr(49), 0o10), ehT0Px3KOsy9(chr(382 - 334) + chr(0b1101111) + chr(0b110110) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101000 + 0o7) + chr(1167 - 1116) + chr(0b10110 + 0o33) + chr(50), 48413 - 48405), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b110000) + chr(786 - 738), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5543 - 5432) + '\061' + '\060' + chr(2882 - 2828), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + '\067' + '\x33', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + '\062' + chr(0b1111 + 0o42), 31578 - 31570), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11 + 0o60) + '\067' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + '\061' + chr(1868 - 1819) + chr(1050 - 995), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1000010 + 0o55) + chr(50) + '\x34' + chr(53), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + '\x33' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(92 - 41) + chr(49) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + chr(0b110011) + chr(48) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + chr(9883 - 9772) + chr(1601 - 1550) + chr(0b110101) + '\064', 46712 - 46704), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(49) + '\067' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1913 - 1864) + chr(0b100111 + 0o14) + chr(0b101110 + 0o3), 44170 - 44162), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b100000 + 0o21) + chr(50), 8), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(0b10001 + 0o42) + '\065' + chr(0b10000 + 0o47), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110100) + chr(2602 - 2547), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110101) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'k'), chr(0b10011 + 0o121) + chr(0b1100101) + chr(99) + '\x6f' + chr(0b1100100) + chr(6051 - 5950))('\x75' + '\164' + chr(2512 - 2410) + chr(112 - 67) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def MKIP9jYdTGA0(PX4b0z2UpTWH, *kJDRfRhcZHjS, **M8EIoTs2GJXE):
if PlSM16l2KDPD(PX4b0z2UpTWH, YyaZ4tpXu4lf):
for hfOA2bIyYn7s in PX4b0z2UpTWH:
hfOA2bIyYn7s(*kJDRfRhcZHjS, **M8EIoTs2GJXE)
return
if PX4b0z2UpTWH:
PX4b0z2UpTWH(*kJDRfRhcZHjS, **M8EIoTs2GJXE)
|
apache/incubator-mxnet
|
python/mxnet/model.py
|
_train_multi_device
|
def _train_multi_device(symbol, ctx, arg_names, param_names, aux_names,
arg_params, aux_params,
begin_epoch, end_epoch, epoch_size, optimizer,
kvstore, update_on_kvstore,
train_data, eval_data=None, eval_metric=None,
epoch_end_callback=None, batch_end_callback=None,
logger=None, work_load_list=None, monitor=None,
eval_end_callback=None,
eval_batch_end_callback=None, sym_gen=None):
"""Internal training function on multiple devices.
This function will also work for single device as well.
Parameters
----------
symbol : Symbol
The network configuration.
ctx : list of Context
The training devices.
arg_names: list of str
Name of all arguments of the network.
param_names: list of str
Name of all trainable parameters of the network.
aux_names: list of str
Name of all auxiliary states of the network.
arg_params : dict of str to NDArray
Model parameter, dict of name to NDArray of net's weights.
aux_params : dict of str to NDArray
Model parameter, dict of name to NDArray of net's auxiliary states.
begin_epoch : int
The begining training epoch.
end_epoch : int
The end training epoch.
epoch_size : int, optional
Number of batches in a epoch. In default, it is set to
``ceil(num_train_examples / batch_size)``.
optimizer : Optimizer
The optimization algorithm
train_data : DataIter
Training data iterator.
eval_data : DataIter
Validation data iterator.
eval_metric : EvalMetric
An evaluation function or a list of evaluation functions.
epoch_end_callback : callable(epoch, symbol, arg_params, aux_states)
A callback that is invoked at end of each epoch.
This can be used to checkpoint model each epoch.
batch_end_callback : callable(BatchEndParams)
A callback that is invoked at end of each batch.
This can be used to measure speed, get result from evaluation metric. etc.
kvstore : KVStore
The KVStore.
update_on_kvstore : bool
Whether or not perform weight updating on kvstore.
logger : logging logger
When not specified, default logger will be used.
work_load_list : list of float or int, optional
The list of work load for different devices,
in the same order as ``ctx``.
monitor : Monitor, optional
Monitor installed to executor,
for monitoring outputs, weights, and gradients for debugging.
Notes
-----
- This function will inplace update the NDArrays in `arg_params` and `aux_states`.
"""
if logger is None:
logger = logging
executor_manager = DataParallelExecutorManager(symbol=symbol,
sym_gen=sym_gen,
ctx=ctx,
train_data=train_data,
param_names=param_names,
arg_names=arg_names,
aux_names=aux_names,
work_load_list=work_load_list,
logger=logger)
if monitor:
executor_manager.install_monitor(monitor)
executor_manager.set_params(arg_params, aux_params)
if not update_on_kvstore:
updater = get_updater(optimizer)
else:
kvstore.set_optimizer(optimizer)
if kvstore:
_initialize_kvstore(kvstore=kvstore,
param_arrays=executor_manager.param_arrays,
arg_params=arg_params,
param_names=executor_manager.param_names,
update_on_kvstore=update_on_kvstore)
# Now start training
train_data.reset()
for epoch in range(begin_epoch, end_epoch):
# Training phase
tic = time.time()
eval_metric.reset()
nbatch = 0
# Iterate over training data.
while True:
do_reset = True
for data_batch in train_data:
executor_manager.load_data_batch(data_batch)
if monitor is not None:
monitor.tic()
executor_manager.forward(is_train=True)
executor_manager.backward()
if update_on_kvstore:
if 'nccl' in kvstore.type:
_update_params_on_kvstore_nccl(executor_manager.param_arrays,
executor_manager.grad_arrays,
kvstore, executor_manager.param_names)
else:
_update_params_on_kvstore(executor_manager.param_arrays,
executor_manager.grad_arrays,
kvstore, executor_manager.param_names)
else:
_update_params(executor_manager.param_arrays,
executor_manager.grad_arrays,
updater=updater,
num_device=len(ctx),
kvstore=kvstore,
param_names=executor_manager.param_names)
if monitor is not None:
monitor.toc_print()
# evaluate at end, so we can lazy copy
executor_manager.update_metric(eval_metric, data_batch.label)
nbatch += 1
# batch callback (for print purpose)
if batch_end_callback is not None:
batch_end_params = BatchEndParam(epoch=epoch,
nbatch=nbatch,
eval_metric=eval_metric,
locals=locals())
_multiple_callbacks(batch_end_callback, batch_end_params)
# this epoch is done possibly earlier
if epoch_size is not None and nbatch >= epoch_size:
do_reset = False
break
if do_reset:
logger.info('Epoch[%d] Resetting Data Iterator', epoch)
train_data.reset()
# this epoch is done
if epoch_size is None or nbatch >= epoch_size:
break
toc = time.time()
logger.info('Epoch[%d] Time cost=%.3f', epoch, (toc - tic))
if epoch_end_callback or epoch + 1 == end_epoch:
executor_manager.copy_to(arg_params, aux_params)
_multiple_callbacks(epoch_end_callback, epoch, symbol, arg_params, aux_params)
# evaluation
if eval_data:
eval_metric.reset()
eval_data.reset()
total_num_batch = 0
for i, eval_batch in enumerate(eval_data):
executor_manager.load_data_batch(eval_batch)
executor_manager.forward(is_train=False)
executor_manager.update_metric(eval_metric, eval_batch.label)
if eval_batch_end_callback is not None:
batch_end_params = BatchEndParam(epoch=epoch,
nbatch=i,
eval_metric=eval_metric,
locals=locals())
_multiple_callbacks(eval_batch_end_callback, batch_end_params)
total_num_batch += 1
if eval_end_callback is not None:
eval_end_params = BatchEndParam(epoch=epoch,
nbatch=total_num_batch,
eval_metric=eval_metric,
locals=locals())
_multiple_callbacks(eval_end_callback, eval_end_params)
eval_data.reset()
|
python
|
def _train_multi_device(symbol, ctx, arg_names, param_names, aux_names,
arg_params, aux_params,
begin_epoch, end_epoch, epoch_size, optimizer,
kvstore, update_on_kvstore,
train_data, eval_data=None, eval_metric=None,
epoch_end_callback=None, batch_end_callback=None,
logger=None, work_load_list=None, monitor=None,
eval_end_callback=None,
eval_batch_end_callback=None, sym_gen=None):
"""Internal training function on multiple devices.
This function will also work for single device as well.
Parameters
----------
symbol : Symbol
The network configuration.
ctx : list of Context
The training devices.
arg_names: list of str
Name of all arguments of the network.
param_names: list of str
Name of all trainable parameters of the network.
aux_names: list of str
Name of all auxiliary states of the network.
arg_params : dict of str to NDArray
Model parameter, dict of name to NDArray of net's weights.
aux_params : dict of str to NDArray
Model parameter, dict of name to NDArray of net's auxiliary states.
begin_epoch : int
The begining training epoch.
end_epoch : int
The end training epoch.
epoch_size : int, optional
Number of batches in a epoch. In default, it is set to
``ceil(num_train_examples / batch_size)``.
optimizer : Optimizer
The optimization algorithm
train_data : DataIter
Training data iterator.
eval_data : DataIter
Validation data iterator.
eval_metric : EvalMetric
An evaluation function or a list of evaluation functions.
epoch_end_callback : callable(epoch, symbol, arg_params, aux_states)
A callback that is invoked at end of each epoch.
This can be used to checkpoint model each epoch.
batch_end_callback : callable(BatchEndParams)
A callback that is invoked at end of each batch.
This can be used to measure speed, get result from evaluation metric. etc.
kvstore : KVStore
The KVStore.
update_on_kvstore : bool
Whether or not perform weight updating on kvstore.
logger : logging logger
When not specified, default logger will be used.
work_load_list : list of float or int, optional
The list of work load for different devices,
in the same order as ``ctx``.
monitor : Monitor, optional
Monitor installed to executor,
for monitoring outputs, weights, and gradients for debugging.
Notes
-----
- This function will inplace update the NDArrays in `arg_params` and `aux_states`.
"""
if logger is None:
logger = logging
executor_manager = DataParallelExecutorManager(symbol=symbol,
sym_gen=sym_gen,
ctx=ctx,
train_data=train_data,
param_names=param_names,
arg_names=arg_names,
aux_names=aux_names,
work_load_list=work_load_list,
logger=logger)
if monitor:
executor_manager.install_monitor(monitor)
executor_manager.set_params(arg_params, aux_params)
if not update_on_kvstore:
updater = get_updater(optimizer)
else:
kvstore.set_optimizer(optimizer)
if kvstore:
_initialize_kvstore(kvstore=kvstore,
param_arrays=executor_manager.param_arrays,
arg_params=arg_params,
param_names=executor_manager.param_names,
update_on_kvstore=update_on_kvstore)
# Now start training
train_data.reset()
for epoch in range(begin_epoch, end_epoch):
# Training phase
tic = time.time()
eval_metric.reset()
nbatch = 0
# Iterate over training data.
while True:
do_reset = True
for data_batch in train_data:
executor_manager.load_data_batch(data_batch)
if monitor is not None:
monitor.tic()
executor_manager.forward(is_train=True)
executor_manager.backward()
if update_on_kvstore:
if 'nccl' in kvstore.type:
_update_params_on_kvstore_nccl(executor_manager.param_arrays,
executor_manager.grad_arrays,
kvstore, executor_manager.param_names)
else:
_update_params_on_kvstore(executor_manager.param_arrays,
executor_manager.grad_arrays,
kvstore, executor_manager.param_names)
else:
_update_params(executor_manager.param_arrays,
executor_manager.grad_arrays,
updater=updater,
num_device=len(ctx),
kvstore=kvstore,
param_names=executor_manager.param_names)
if monitor is not None:
monitor.toc_print()
# evaluate at end, so we can lazy copy
executor_manager.update_metric(eval_metric, data_batch.label)
nbatch += 1
# batch callback (for print purpose)
if batch_end_callback is not None:
batch_end_params = BatchEndParam(epoch=epoch,
nbatch=nbatch,
eval_metric=eval_metric,
locals=locals())
_multiple_callbacks(batch_end_callback, batch_end_params)
# this epoch is done possibly earlier
if epoch_size is not None and nbatch >= epoch_size:
do_reset = False
break
if do_reset:
logger.info('Epoch[%d] Resetting Data Iterator', epoch)
train_data.reset()
# this epoch is done
if epoch_size is None or nbatch >= epoch_size:
break
toc = time.time()
logger.info('Epoch[%d] Time cost=%.3f', epoch, (toc - tic))
if epoch_end_callback or epoch + 1 == end_epoch:
executor_manager.copy_to(arg_params, aux_params)
_multiple_callbacks(epoch_end_callback, epoch, symbol, arg_params, aux_params)
# evaluation
if eval_data:
eval_metric.reset()
eval_data.reset()
total_num_batch = 0
for i, eval_batch in enumerate(eval_data):
executor_manager.load_data_batch(eval_batch)
executor_manager.forward(is_train=False)
executor_manager.update_metric(eval_metric, eval_batch.label)
if eval_batch_end_callback is not None:
batch_end_params = BatchEndParam(epoch=epoch,
nbatch=i,
eval_metric=eval_metric,
locals=locals())
_multiple_callbacks(eval_batch_end_callback, batch_end_params)
total_num_batch += 1
if eval_end_callback is not None:
eval_end_params = BatchEndParam(epoch=epoch,
nbatch=total_num_batch,
eval_metric=eval_metric,
locals=locals())
_multiple_callbacks(eval_end_callback, eval_end_params)
eval_data.reset()
|
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] |
Internal training function on multiple devices.
This function will also work for single device as well.
Parameters
----------
symbol : Symbol
The network configuration.
ctx : list of Context
The training devices.
arg_names: list of str
Name of all arguments of the network.
param_names: list of str
Name of all trainable parameters of the network.
aux_names: list of str
Name of all auxiliary states of the network.
arg_params : dict of str to NDArray
Model parameter, dict of name to NDArray of net's weights.
aux_params : dict of str to NDArray
Model parameter, dict of name to NDArray of net's auxiliary states.
begin_epoch : int
The begining training epoch.
end_epoch : int
The end training epoch.
epoch_size : int, optional
Number of batches in a epoch. In default, it is set to
``ceil(num_train_examples / batch_size)``.
optimizer : Optimizer
The optimization algorithm
train_data : DataIter
Training data iterator.
eval_data : DataIter
Validation data iterator.
eval_metric : EvalMetric
An evaluation function or a list of evaluation functions.
epoch_end_callback : callable(epoch, symbol, arg_params, aux_states)
A callback that is invoked at end of each epoch.
This can be used to checkpoint model each epoch.
batch_end_callback : callable(BatchEndParams)
A callback that is invoked at end of each batch.
This can be used to measure speed, get result from evaluation metric. etc.
kvstore : KVStore
The KVStore.
update_on_kvstore : bool
Whether or not perform weight updating on kvstore.
logger : logging logger
When not specified, default logger will be used.
work_load_list : list of float or int, optional
The list of work load for different devices,
in the same order as ``ctx``.
monitor : Monitor, optional
Monitor installed to executor,
for monitoring outputs, weights, and gradients for debugging.
Notes
-----
- This function will inplace update the NDArrays in `arg_params` and `aux_states`.
|
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"well",
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/model.py#L203-L390
|
train
|
Internal training function for multi - device training.
|
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(0b111000 + 0o67) + chr(51) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + chr(0b110001 + 0o6) + chr(962 - 907), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001 + 0o0) + chr(696 - 644) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1 + 0o156) + '\x37' + chr(0b10010 + 0o37), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(48) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(2447 - 2393) + chr(0b11100 + 0o30), 2234 - 2226), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(2470 - 2416) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(74 - 26) + '\x6f' + chr(0b110010) + '\x34', 53015 - 53007), ehT0Px3KOsy9(chr(2068 - 2020) + '\157' + '\062' + chr(0b110001) + chr(0b100111 + 0o15), 0b1000), ehT0Px3KOsy9(chr(1899 - 1851) + chr(0b110001 + 0o76) + chr(0b110010 + 0o4) + chr(0b101100 + 0o4), 43329 - 43321), ehT0Px3KOsy9('\060' + chr(111) + '\x35' + '\x35', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(2658 - 2606), 63559 - 63551), ehT0Px3KOsy9(chr(527 - 479) + '\157' + '\066' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2242 - 2131) + '\x32' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b1 + 0o65), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\x36' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(71 - 23) + '\157' + chr(50) + chr(0b110011) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000110 + 0o51) + chr(0b110010) + chr(1263 - 1209) + chr(472 - 422), 10069 - 10061), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\062' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100101 + 0o15) + '\x32' + chr(275 - 226), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11100 + 0o123) + '\x31' + chr(0b110111) + chr(2406 - 2356), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(663 - 614) + chr(600 - 546), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(0b110001) + chr(0b101010 + 0o13), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(51) + chr(52), 60419 - 60411), ehT0Px3KOsy9('\060' + '\157' + chr(1092 - 1043) + chr(0b100 + 0o63) + chr(0b110101 + 0o0), 14405 - 14397), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101 + 0o56) + '\063' + chr(2310 - 2261), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(49) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5386 - 5275) + '\063' + chr(0b100000 + 0o20) + chr(51), 0b1000), ehT0Px3KOsy9(chr(2269 - 2221) + '\157' + '\x31' + '\062' + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(0b1001 + 0o146) + '\x32' + '\x34' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(51) + chr(0b110111) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11000 + 0o127) + chr(419 - 368) + '\066' + chr(0b1 + 0o66), 0o10), ehT0Px3KOsy9(chr(641 - 593) + chr(0b111101 + 0o62) + '\x33' + chr(1031 - 980) + '\x33', 0b1000), ehT0Px3KOsy9(chr(2053 - 2005) + chr(12113 - 12002) + chr(0b11100 + 0o25) + '\x35' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + '\061' + chr(0b110001) + chr(0b100100 + 0o14), 48248 - 48240), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(0b110011) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x36' + chr(50), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(48) + chr(0b110110), 13087 - 13079), ehT0Px3KOsy9(chr(1731 - 1683) + chr(0b111100 + 0o63) + chr(50) + '\x35' + chr(0b110001 + 0o1), 21587 - 21579)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1178 - 1125) + chr(0b111 + 0o51), 52047 - 52039)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'7'), chr(0b100011 + 0o101) + '\x65' + chr(1456 - 1357) + chr(111) + '\x64' + '\x65')('\165' + '\164' + chr(0b110001 + 0o65) + chr(0b101101) + chr(0b101100 + 0o14)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def OGyiOiIx7mgi(Usr5ykvL2UZF, oM3jLo753XfX, YjuRZH4bY1wk, FDgTD8rHpSh6, kNWn4vwNYXUk, GroVdzCONmWS, p9GVyAqRTTRh, Oni7KqlYdGJc, Bhk62hfbQH84, HvqNT9KgojM6, XdKNcYRObPK3, Dlwsb3sX_cE9, nvCDOV9Kw0Jr, sW8AagBcZuuj, lFsSHWR5AXWi=None, tbbpbfMnen5w=None, Ut1ApSy0hXT6=None, W8VoATJOxM2T=None, hdK8qOUhR6Or=None, kLGo3aUrvaUa=None, W41N9Yh6x71V=None, ISjMN31WssXr=None, P04iXL8qvEDL=None, tXqBMsPg7B1z=None):
if hdK8qOUhR6Or is None:
hdK8qOUhR6Or = UeotCCWOPSQS
M48CZeCuoLYB = _kNjiF_vnM4L(symbol=Usr5ykvL2UZF, sym_gen=tXqBMsPg7B1z, ctx=oM3jLo753XfX, train_data=sW8AagBcZuuj, param_names=FDgTD8rHpSh6, arg_names=YjuRZH4bY1wk, aux_names=kNWn4vwNYXUk, work_load_list=kLGo3aUrvaUa, logger=hdK8qOUhR6Or)
if W41N9Yh6x71V:
xafqLlk3kkUe(M48CZeCuoLYB, xafqLlk3kkUe(SXOLrMavuUCe(b'pQ\x10M\xa5\x98\xddK\xe1_CmGyl'), '\144' + chr(0b1000 + 0o135) + chr(99) + '\157' + chr(2674 - 2574) + chr(5049 - 4948))(chr(117) + chr(0b10110 + 0o136) + '\146' + chr(1288 - 1243) + chr(0b111000)))(W41N9Yh6x71V)
xafqLlk3kkUe(M48CZeCuoLYB, xafqLlk3kkUe(SXOLrMavuUCe(b'jZ\x17f\xb4\x95\xc3u\xe1C'), '\x64' + '\x65' + '\x63' + '\157' + chr(0b1100100) + chr(4161 - 4060))(chr(0b1110101) + chr(10552 - 10436) + chr(3521 - 3419) + chr(0b101101) + chr(0b11111 + 0o31)))(GroVdzCONmWS, p9GVyAqRTTRh)
if not nvCDOV9Kw0Jr:
xZ9ED1z8lews = K35EY3yNxhzx(XdKNcYRObPK3)
else:
xafqLlk3kkUe(Dlwsb3sX_cE9, xafqLlk3kkUe(SXOLrMavuUCe(b'jZ\x17f\xab\x84\xc5}\xe1YWaA'), '\144' + '\145' + chr(0b1000111 + 0o34) + chr(0b1101111) + '\x64' + chr(101))('\x75' + chr(7759 - 7643) + chr(102) + chr(1590 - 1545) + '\x38'))(XdKNcYRObPK3)
if Dlwsb3sX_cE9:
F9gDUkmgBvxp(kvstore=Dlwsb3sX_cE9, param_arrays=xafqLlk3kkUe(M48CZeCuoLYB, xafqLlk3kkUe(SXOLrMavuUCe(b'Py\t\t\xbc\x91\xf9W\xedw_K'), '\144' + chr(101) + chr(9235 - 9136) + chr(9386 - 9275) + chr(100) + chr(9907 - 9806))(chr(117) + chr(116) + '\x66' + chr(45) + chr(0b101 + 0o63))), arg_params=GroVdzCONmWS, param_names=xafqLlk3kkUe(M48CZeCuoLYB, xafqLlk3kkUe(SXOLrMavuUCe(b'i^\x11X\xa9\xab\xdfu\xe1U^'), chr(100) + '\145' + chr(2189 - 2090) + chr(0b1011010 + 0o25) + chr(0b1010001 + 0o23) + chr(6559 - 6458))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(56))), update_on_kvstore=nvCDOV9Kw0Jr)
xafqLlk3kkUe(sW8AagBcZuuj, xafqLlk3kkUe(SXOLrMavuUCe(b'kZ\x10\\\xb0'), '\x64' + chr(101) + chr(7674 - 7575) + chr(4945 - 4834) + chr(975 - 875) + chr(3252 - 3151))(chr(0b1110101) + chr(116) + '\x66' + chr(0b101101) + '\070'))()
for LWTVW06OsTjl in vQr8gNKaIaWE(Oni7KqlYdGJc, Bhk62hfbQH84):
yTo1Kl5FmnsP = ltvhPP4VhXre.time()
xafqLlk3kkUe(tbbpbfMnen5w, xafqLlk3kkUe(SXOLrMavuUCe(b'kZ\x10\\\xb0'), '\x64' + chr(101) + '\x63' + '\157' + chr(0b1100000 + 0o4) + '\x65')('\165' + '\164' + chr(0b10011 + 0o123) + chr(45) + '\070'))()
JCGDCYWPlTCn = ehT0Px3KOsy9(chr(1819 - 1771) + '\157' + '\060', 0b1000)
while ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001), ord("\x08")):
rZBas6iwNATE = ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + chr(49), 8)
for idr841wg0ysW in sW8AagBcZuuj:
xafqLlk3kkUe(M48CZeCuoLYB, xafqLlk3kkUe(SXOLrMavuUCe(b'uP\x02]\x9b\x90\xd0`\xedoOeGuv'), '\144' + chr(101) + chr(0b1100011) + '\157' + '\144' + '\x65')('\x75' + chr(868 - 752) + chr(0b110101 + 0o61) + chr(0b101101) + chr(1350 - 1294)))(idr841wg0ysW)
if W41N9Yh6x71V is not None:
xafqLlk3kkUe(W41N9Yh6x71V, xafqLlk3kkUe(SXOLrMavuUCe(b'mV\x00'), chr(100) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(100) + chr(0b1100101))(chr(5119 - 5002) + chr(0b10001 + 0o143) + chr(0b1100110) + chr(0b11000 + 0o25) + '\x38'))()
xafqLlk3kkUe(M48CZeCuoLYB, xafqLlk3kkUe(SXOLrMavuUCe(b'^]\x01Z\x87\xbc\xe4Z\xca}G1'), '\x64' + chr(0b1100100 + 0o1) + '\143' + '\157' + chr(100) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(0b111101 + 0o51) + '\x2d' + '\070'))(is_train=ehT0Px3KOsy9('\x30' + chr(433 - 322) + chr(0b101011 + 0o6), 8))
xafqLlk3kkUe(M48CZeCuoLYB, xafqLlk3kkUe(SXOLrMavuUCe(b'{^\x00R\xb3\x95\xc3p'), chr(7774 - 7674) + '\x65' + '\143' + '\157' + '\x64' + chr(0b1101 + 0o130))(chr(1003 - 886) + '\x74' + '\x66' + chr(45) + chr(0b111000)))()
if nvCDOV9Kw0Jr:
if xafqLlk3kkUe(SXOLrMavuUCe(b'w\\\x00U'), chr(7115 - 7015) + chr(8148 - 8047) + chr(0b1100011) + '\157' + chr(100) + chr(0b1100011 + 0o2))(chr(2052 - 1935) + chr(116) + chr(6016 - 5914) + chr(0b1010 + 0o43) + chr(0b111000 + 0o0)) in xafqLlk3kkUe(Dlwsb3sX_cE9, xafqLlk3kkUe(SXOLrMavuUCe(b'nR2T\xbd\x91\xe6V\xe1e]r'), '\x64' + '\145' + '\143' + '\157' + chr(9791 - 9691) + '\x65')(chr(0b11000 + 0o135) + chr(3991 - 3875) + chr(4162 - 4060) + '\055' + chr(56))):
aotv1LTeyCTM(xafqLlk3kkUe(M48CZeCuoLYB, xafqLlk3kkUe(SXOLrMavuUCe(b'Py\t\t\xbc\x91\xf9W\xedw_K'), chr(6154 - 6054) + '\145' + '\x63' + chr(11102 - 10991) + chr(100) + '\x65')('\165' + chr(12000 - 11884) + chr(0b1100110) + chr(518 - 473) + chr(56))), xafqLlk3kkUe(M48CZeCuoLYB, xafqLlk3kkUe(SXOLrMavuUCe(b'FY\x05w\xad\x84\xf4\x7f\xc9\x02xB'), '\144' + '\x65' + chr(0b110011 + 0o60) + chr(1294 - 1183) + chr(0b1100100) + chr(0b1011110 + 0o7))('\x75' + '\164' + chr(0b1100110) + chr(0b11 + 0o52) + chr(0b111000))), Dlwsb3sX_cE9, xafqLlk3kkUe(M48CZeCuoLYB, xafqLlk3kkUe(SXOLrMavuUCe(b'i^\x11X\xa9\xab\xdfu\xe1U^'), '\144' + chr(101) + chr(99) + '\157' + chr(0b100 + 0o140) + chr(8631 - 8530))('\x75' + '\164' + chr(0b11110 + 0o110) + '\x2d' + '\x38')))
else:
fjHKNFUyRiFp(xafqLlk3kkUe(M48CZeCuoLYB, xafqLlk3kkUe(SXOLrMavuUCe(b'Py\t\t\xbc\x91\xf9W\xedw_K'), chr(0b1001001 + 0o33) + chr(0b1100101) + chr(0b1010 + 0o131) + chr(3818 - 3707) + '\144' + chr(101))(chr(0b1110101) + '\164' + chr(5325 - 5223) + chr(45) + chr(828 - 772))), xafqLlk3kkUe(M48CZeCuoLYB, xafqLlk3kkUe(SXOLrMavuUCe(b'FY\x05w\xad\x84\xf4\x7f\xc9\x02xB'), '\144' + chr(3127 - 3026) + chr(99) + chr(6299 - 6188) + chr(100) + '\145')(chr(0b1110101) + chr(116) + chr(0b1100110) + '\055' + '\070')), Dlwsb3sX_cE9, xafqLlk3kkUe(M48CZeCuoLYB, xafqLlk3kkUe(SXOLrMavuUCe(b'i^\x11X\xa9\xab\xdfu\xe1U^'), chr(2735 - 2635) + chr(0b11 + 0o142) + '\x63' + chr(0b101001 + 0o106) + chr(0b1100100) + chr(0b1100101))(chr(117) + '\x74' + chr(0b101100 + 0o72) + chr(357 - 312) + '\070')))
else:
Iiw4mXbucshH(xafqLlk3kkUe(M48CZeCuoLYB, xafqLlk3kkUe(SXOLrMavuUCe(b'Py\t\t\xbc\x91\xf9W\xedw_K'), chr(0b1100100) + chr(101) + chr(4070 - 3971) + chr(1499 - 1388) + chr(8352 - 8252) + chr(8350 - 8249))(chr(7479 - 7362) + chr(0b1110100) + chr(3682 - 3580) + chr(45) + '\x38')), xafqLlk3kkUe(M48CZeCuoLYB, xafqLlk3kkUe(SXOLrMavuUCe(b'FY\x05w\xad\x84\xf4\x7f\xc9\x02xB'), chr(0b10101 + 0o117) + '\145' + chr(0b1100011) + '\x6f' + chr(100) + '\145')('\165' + '\x74' + chr(0b1100110) + chr(45) + chr(0b110010 + 0o6))), updater=xZ9ED1z8lews, num_device=c2A0yzQpDQB3(oM3jLo753XfX), kvstore=Dlwsb3sX_cE9, param_names=xafqLlk3kkUe(M48CZeCuoLYB, xafqLlk3kkUe(SXOLrMavuUCe(b'i^\x11X\xa9\xab\xdfu\xe1U^'), chr(0b10 + 0o142) + chr(0b111010 + 0o53) + chr(0b1100 + 0o127) + '\x6f' + chr(0b11110 + 0o106) + '\145')('\165' + chr(116) + chr(4740 - 4638) + chr(0b101101) + chr(0b100101 + 0o23))))
if W41N9Yh6x71V is not None:
xafqLlk3kkUe(W41N9Yh6x71V, xafqLlk3kkUe(SXOLrMavuUCe(b'mP\x00f\xb4\x86\xd8z\xf8'), chr(0b101011 + 0o71) + '\x65' + '\143' + chr(0b100010 + 0o115) + chr(0b100110 + 0o76) + chr(0b10000 + 0o125))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(2666 - 2610)))()
xafqLlk3kkUe(M48CZeCuoLYB, xafqLlk3kkUe(SXOLrMavuUCe(b'lO\x07X\xb0\x91\xeey\xe9D_mP'), chr(0b1100100) + chr(5329 - 5228) + chr(99) + chr(8668 - 8557) + chr(2200 - 2100) + chr(101))(chr(0b110011 + 0o102) + chr(0b100100 + 0o120) + '\146' + '\x2d' + chr(56)))(tbbpbfMnen5w, xafqLlk3kkUe(idr841wg0ysW, xafqLlk3kkUe(SXOLrMavuUCe(b'Mm6v\x88\xb2\xfda\xc8\x00\x15|'), '\x64' + chr(0b10111 + 0o116) + '\143' + '\157' + chr(0b1010 + 0o132) + chr(0b1000100 + 0o41))(chr(0b10011 + 0o142) + '\164' + chr(0b1100110) + chr(177 - 132) + chr(56))))
JCGDCYWPlTCn += ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001), 8)
if W8VoATJOxM2T is not None:
E9XP3sJ9rRXA = pVr_c9kGNQpx(epoch=LWTVW06OsTjl, nbatch=JCGDCYWPlTCn, eval_metric=tbbpbfMnen5w, locals=eHmS9durw_Vs())
MKIP9jYdTGA0(W8VoATJOxM2T, E9XP3sJ9rRXA)
if HvqNT9KgojM6 is not None and JCGDCYWPlTCn >= HvqNT9KgojM6:
rZBas6iwNATE = ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1000 + 0o50), 8)
break
if rZBas6iwNATE:
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'J\x08+A\xb1\x97\xd6#\xe6\\wo'), chr(0b1100100) + '\145' + '\x63' + '\x6f' + '\144' + '\145')(chr(117) + chr(0b1110100) + chr(102) + chr(0b101101 + 0o0) + chr(2451 - 2395)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\\O\x0cZ\xac\xaf\x94p\xd1\x10\x7fa@sj\x02\xf3\xdc\xf1\xb1>\xef9\xbd]\x90\xb8\xa6&\xc2c\x93\x85'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\x6f' + chr(100) + chr(101))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(169 - 124) + '\070'), LWTVW06OsTjl)
xafqLlk3kkUe(sW8AagBcZuuj, xafqLlk3kkUe(SXOLrMavuUCe(b'kZ\x10\\\xb0'), '\x64' + '\145' + '\143' + chr(0b101111 + 0o100) + chr(0b1100100) + chr(0b1010010 + 0o23))(chr(0b1010111 + 0o36) + '\x74' + chr(102) + '\055' + '\x38'))()
if HvqNT9KgojM6 is None or JCGDCYWPlTCn >= HvqNT9KgojM6:
break
xtkRyfFY6h6j = ltvhPP4VhXre.time()
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'J\x08+A\xb1\x97\xd6#\xe6\\wo'), chr(3497 - 3397) + chr(101) + chr(99) + chr(0b100100 + 0o113) + chr(0b101000 + 0o74) + chr(101))(chr(117) + chr(116) + chr(102) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\\O\x0cZ\xac\xaf\x94p\xd1\x10ym^s>\x15\xf5\xc1\xe2\xac_\xa0~\xba'), chr(2835 - 2735) + '\x65' + chr(99) + chr(430 - 319) + chr(0b1100100) + chr(4014 - 3913))(chr(0b1001111 + 0o46) + chr(0b1101010 + 0o12) + chr(5843 - 5741) + chr(122 - 77) + '\070'), LWTVW06OsTjl, xtkRyfFY6h6j - yTo1Kl5FmnsP)
if Ut1ApSy0hXT6 or LWTVW06OsTjl + ehT0Px3KOsy9('\060' + chr(111) + chr(0b1 + 0o60), 8) == Bhk62hfbQH84:
xafqLlk3kkUe(M48CZeCuoLYB, xafqLlk3kkUe(SXOLrMavuUCe(b'zP\x13@\x9b\x80\xde'), '\x64' + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(100) + chr(101))('\165' + chr(0b1110100) + chr(102) + '\x2d' + chr(0b100001 + 0o27)))(GroVdzCONmWS, p9GVyAqRTTRh)
MKIP9jYdTGA0(Ut1ApSy0hXT6, LWTVW06OsTjl, Usr5ykvL2UZF, GroVdzCONmWS, p9GVyAqRTTRh)
if lFsSHWR5AXWi:
xafqLlk3kkUe(tbbpbfMnen5w, xafqLlk3kkUe(SXOLrMavuUCe(b'kZ\x10\\\xb0'), chr(0b100110 + 0o76) + '\x65' + '\143' + chr(111) + '\x64' + '\x65')(chr(117) + chr(0b1110100) + chr(102) + '\x2d' + '\070'))()
xafqLlk3kkUe(lFsSHWR5AXWi, xafqLlk3kkUe(SXOLrMavuUCe(b'kZ\x10\\\xb0'), '\x64' + chr(0b1100101) + chr(0b1000101 + 0o36) + '\157' + chr(0b10010 + 0o122) + chr(0b11101 + 0o110))(chr(117) + '\x74' + chr(102) + '\x2d' + chr(56)))()
rrz0PQ13Pc5R = ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(10279 - 10168) + '\x30', 8)
for (WVxHKyX45z_L, Bvdxx723Yxis) in YlkZvXL8qwsX(lFsSHWR5AXWi):
xafqLlk3kkUe(M48CZeCuoLYB, xafqLlk3kkUe(SXOLrMavuUCe(b'uP\x02]\x9b\x90\xd0`\xedoOeGuv'), chr(8007 - 7907) + '\x65' + '\x63' + '\157' + '\144' + chr(8868 - 8767))('\165' + chr(0b1100011 + 0o21) + chr(8535 - 8433) + chr(0b100111 + 0o6) + '\070'))(Bvdxx723Yxis)
xafqLlk3kkUe(M48CZeCuoLYB, xafqLlk3kkUe(SXOLrMavuUCe(b'^]\x01Z\x87\xbc\xe4Z\xca}G1'), '\x64' + chr(0b111000 + 0o55) + chr(5081 - 4982) + '\157' + chr(4320 - 4220) + chr(4936 - 4835))(chr(0b11000 + 0o135) + chr(0b1100000 + 0o24) + '\146' + '\055' + chr(56)))(is_train=ehT0Px3KOsy9(chr(2082 - 2034) + '\x6f' + chr(587 - 539), 8))
xafqLlk3kkUe(M48CZeCuoLYB, xafqLlk3kkUe(SXOLrMavuUCe(b'lO\x07X\xb0\x91\xeey\xe9D_mP'), chr(6174 - 6074) + '\x65' + chr(0b11001 + 0o112) + '\x6f' + chr(7189 - 7089) + '\x65')(chr(0b1110101) + '\164' + '\x66' + '\055' + chr(2727 - 2671)))(tbbpbfMnen5w, xafqLlk3kkUe(Bvdxx723Yxis, xafqLlk3kkUe(SXOLrMavuUCe(b'Mm6v\x88\xb2\xfda\xc8\x00\x15|'), chr(100) + chr(9426 - 9325) + chr(0b100101 + 0o76) + '\x6f' + '\x64' + '\x65')('\165' + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b111000))))
if P04iXL8qvEDL is not None:
E9XP3sJ9rRXA = pVr_c9kGNQpx(epoch=LWTVW06OsTjl, nbatch=WVxHKyX45z_L, eval_metric=tbbpbfMnen5w, locals=eHmS9durw_Vs())
MKIP9jYdTGA0(P04iXL8qvEDL, E9XP3sJ9rRXA)
rrz0PQ13Pc5R += ehT0Px3KOsy9(chr(687 - 639) + chr(7258 - 7147) + chr(0b110001), 8)
if ISjMN31WssXr is not None:
b5MrTtHBIkGH = pVr_c9kGNQpx(epoch=LWTVW06OsTjl, nbatch=rrz0PQ13Pc5R, eval_metric=tbbpbfMnen5w, locals=eHmS9durw_Vs())
MKIP9jYdTGA0(ISjMN31WssXr, b5MrTtHBIkGH)
xafqLlk3kkUe(lFsSHWR5AXWi, xafqLlk3kkUe(SXOLrMavuUCe(b'kZ\x10\\\xb0'), chr(0b111000 + 0o54) + chr(0b1100101) + chr(5965 - 5866) + '\157' + chr(0b1000011 + 0o41) + chr(0b1000100 + 0o41))(chr(5876 - 5759) + chr(116) + chr(102) + '\055' + '\070'))()
|
apache/incubator-mxnet
|
python/mxnet/model.py
|
save_checkpoint
|
def save_checkpoint(prefix, epoch, symbol, arg_params, aux_params):
"""Checkpoint the model data into file.
Parameters
----------
prefix : str
Prefix of model name.
epoch : int
The epoch number of the model.
symbol : Symbol
The input Symbol.
arg_params : dict of str to NDArray
Model parameter, dict of name to NDArray of net's weights.
aux_params : dict of str to NDArray
Model parameter, dict of name to NDArray of net's auxiliary states.
Notes
-----
- ``prefix-symbol.json`` will be saved for symbol.
- ``prefix-epoch.params`` will be saved for parameters.
"""
if symbol is not None:
symbol.save('%s-symbol.json' % prefix)
save_dict = {('arg:%s' % k) : v.as_in_context(cpu()) for k, v in arg_params.items()}
save_dict.update({('aux:%s' % k) : v.as_in_context(cpu()) for k, v in aux_params.items()})
param_name = '%s-%04d.params' % (prefix, epoch)
nd.save(param_name, save_dict)
logging.info('Saved checkpoint to \"%s\"', param_name)
|
python
|
def save_checkpoint(prefix, epoch, symbol, arg_params, aux_params):
"""Checkpoint the model data into file.
Parameters
----------
prefix : str
Prefix of model name.
epoch : int
The epoch number of the model.
symbol : Symbol
The input Symbol.
arg_params : dict of str to NDArray
Model parameter, dict of name to NDArray of net's weights.
aux_params : dict of str to NDArray
Model parameter, dict of name to NDArray of net's auxiliary states.
Notes
-----
- ``prefix-symbol.json`` will be saved for symbol.
- ``prefix-epoch.params`` will be saved for parameters.
"""
if symbol is not None:
symbol.save('%s-symbol.json' % prefix)
save_dict = {('arg:%s' % k) : v.as_in_context(cpu()) for k, v in arg_params.items()}
save_dict.update({('aux:%s' % k) : v.as_in_context(cpu()) for k, v in aux_params.items()})
param_name = '%s-%04d.params' % (prefix, epoch)
nd.save(param_name, save_dict)
logging.info('Saved checkpoint to \"%s\"', param_name)
|
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] |
Checkpoint the model data into file.
Parameters
----------
prefix : str
Prefix of model name.
epoch : int
The epoch number of the model.
symbol : Symbol
The input Symbol.
arg_params : dict of str to NDArray
Model parameter, dict of name to NDArray of net's weights.
aux_params : dict of str to NDArray
Model parameter, dict of name to NDArray of net's auxiliary states.
Notes
-----
- ``prefix-symbol.json`` will be saved for symbol.
- ``prefix-epoch.params`` will be saved for parameters.
|
[
"Checkpoint",
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"file",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/model.py#L394-L421
|
train
|
Save the model data into 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(48) + '\x6f' + chr(0b101 + 0o54) + chr(0b110011) + chr(0b110111), 10727 - 10719), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b110010) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(0b1000 + 0o53) + '\067', 8), ehT0Px3KOsy9(chr(446 - 398) + chr(9523 - 9412) + chr(1102 - 1052) + chr(59 - 4) + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(55) + chr(54), 31298 - 31290), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b110010) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(1554 - 1506) + chr(538 - 427) + chr(0b100011 + 0o16) + chr(2342 - 2288) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b110001) + '\061', 52999 - 52991), ehT0Px3KOsy9(chr(545 - 497) + chr(4054 - 3943) + chr(0b110011) + chr(0b110100) + chr(0b110001), 53188 - 53180), ehT0Px3KOsy9(chr(1032 - 984) + chr(0b1101111) + chr(0b11 + 0o57) + chr(49) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2530 - 2419) + '\061' + chr(0b101010 + 0o7) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(49), 0b1000), ehT0Px3KOsy9(chr(1125 - 1077) + chr(8585 - 8474) + chr(1892 - 1843) + chr(0b110001) + chr(1963 - 1909), 15467 - 15459), ehT0Px3KOsy9('\060' + chr(0b1001 + 0o146) + '\x31' + chr(0b110011) + '\x32', 40745 - 40737), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1 + 0o61) + '\x32' + '\063', 8), ehT0Px3KOsy9(chr(48) + chr(5098 - 4987) + chr(846 - 795) + chr(0b100010 + 0o25), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b110100) + chr(1018 - 966), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10100 + 0o133) + '\x33' + '\062' + chr(1726 - 1678), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(1186 - 1131) + chr(0b110111), 44169 - 44161), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1137 - 1087) + chr(0b110110) + '\065', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x31' + '\060' + chr(898 - 844), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(49) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(300 - 252) + '\157' + chr(0b101111 + 0o4) + '\066' + chr(1001 - 946), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(1580 - 1527) + chr(1718 - 1669), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(2899 - 2845) + '\x33', 62876 - 62868), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(1117 - 1067) + chr(60 - 10) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(1717 - 1666) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110110 + 0o71) + '\x31' + '\x33', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(1128 - 1075) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\067' + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b100100 + 0o15), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b0 + 0o157) + chr(49) + chr(0b101110 + 0o5) + chr(1929 - 1875), 33231 - 33223), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001000 + 0o47) + '\062' + chr(0b101100 + 0o11) + chr(0b110011), 21943 - 21935), ehT0Px3KOsy9(chr(622 - 574) + chr(0b1001110 + 0o41) + chr(2118 - 2067) + chr(0b11101 + 0o23) + chr(1346 - 1296), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x37', 8), ehT0Px3KOsy9(chr(1785 - 1737) + chr(792 - 681) + chr(49) + '\062', 284 - 276), ehT0Px3KOsy9(chr(578 - 530) + chr(2122 - 2011) + chr(49) + chr(211 - 163) + chr(903 - 853), 42409 - 42401), ehT0Px3KOsy9('\x30' + chr(0b1101101 + 0o2) + chr(53) + '\061', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(55) + chr(53), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1137 - 1089) + chr(8777 - 8666) + '\x35' + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'q'), '\x64' + chr(101) + chr(0b1100011) + '\x6f' + chr(100) + '\145')('\165' + '\x74' + chr(2401 - 2299) + chr(0b101010 + 0o3) + chr(2548 - 2492)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def igibI87Qc8pR(K1Ha0XjJTAE7, LWTVW06OsTjl, Usr5ykvL2UZF, GroVdzCONmWS, p9GVyAqRTTRh):
if Usr5ykvL2UZF is not None:
xafqLlk3kkUe(Usr5ykvL2UZF, xafqLlk3kkUe(SXOLrMavuUCe(b',\xb6)\xda'), chr(0b100000 + 0o104) + chr(101) + '\x63' + '\157' + chr(0b1100100) + '\x65')('\165' + chr(0b1100001 + 0o23) + '\146' + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'z\xa4r\xcc\xc7\xfe\x16&\x8d\xa2%j!4'), '\144' + '\145' + '\x63' + chr(111) + chr(721 - 621) + chr(3936 - 3835))('\165' + chr(116) + '\146' + '\055' + chr(0b10110 + 0o42)) % K1Ha0XjJTAE7)
HiRQ2kkvQ_TV = {xafqLlk3kkUe(SXOLrMavuUCe(b'>\xa58\x85\x9b\xe0'), '\x64' + chr(1250 - 1149) + chr(0b1100011) + chr(0b11100 + 0o123) + chr(0b10101 + 0o117) + '\145')(chr(117) + chr(116) + chr(0b111010 + 0o54) + chr(0b1000 + 0o45) + chr(0b111000)) % OolUPRJhRaJd: cMbll0QYhULo.as_in_context(qg7Ot4FCfBgB()) for (OolUPRJhRaJd, cMbll0QYhULo) in GroVdzCONmWS.NzveIZ3IlSH9()}
xafqLlk3kkUe(HiRQ2kkvQ_TV, xafqLlk3kkUe(SXOLrMavuUCe(b"\x05\xa3\x1e\xfa\xd7\xdd>'\x98\xb8*)"), chr(0b11101 + 0o107) + '\145' + chr(99) + chr(8119 - 8008) + chr(0b111100 + 0o50) + chr(7776 - 7675))(chr(4010 - 3893) + '\164' + chr(1190 - 1088) + chr(0b101101) + '\x38'))({xafqLlk3kkUe(SXOLrMavuUCe(b">\xa2'\x85\x9b\xe0"), '\144' + chr(101) + chr(0b1100011) + chr(0b1010001 + 0o36) + chr(0b1001000 + 0o34) + chr(101))(chr(0b1010011 + 0o42) + chr(12855 - 12739) + chr(102) + '\x2d' + '\x38') % OolUPRJhRaJd: xafqLlk3kkUe(cMbll0QYhULo, xafqLlk3kkUe(SXOLrMavuUCe(b'>\xa4\x00\xd6\xd0\xcc\x17&\x8f\xf8*a:'), chr(100) + chr(101) + chr(0b1100011) + chr(111) + chr(0b11011 + 0o111) + chr(101))(chr(117) + '\x74' + chr(0b1100110) + '\x2d' + '\070'))(qg7Ot4FCfBgB()) for (OolUPRJhRaJd, cMbll0QYhULo) in xafqLlk3kkUe(p9GVyAqRTTRh, xafqLlk3kkUe(SXOLrMavuUCe(b'\x11\xad)\xda\xf7\xc9G\x00\x8d\xdf\x07 '), '\144' + '\145' + chr(99) + chr(0b1100111 + 0o10) + '\144' + chr(3711 - 3610))(chr(117) + chr(0b101000 + 0o114) + '\x66' + chr(45) + chr(1856 - 1800)))()})
LwwoV1LmMhGU = xafqLlk3kkUe(SXOLrMavuUCe(b'z\xa4r\x9a\x8e\xa7\x10g\x91\xed=x#)'), chr(0b1011111 + 0o5) + '\x65' + chr(0b1100011) + chr(111) + chr(0b1010011 + 0o21) + '\145')('\165' + '\164' + chr(0b1100110) + chr(45) + chr(56)) % (K1Ha0XjJTAE7, LWTVW06OsTjl)
xafqLlk3kkUe(Vy_CFRcuYrTj, xafqLlk3kkUe(SXOLrMavuUCe(b',\xb6)\xda'), chr(0b110101 + 0o57) + chr(0b1100101) + '\143' + '\x6f' + chr(0b110111 + 0o55) + chr(0b1010010 + 0o23))(chr(0b1101011 + 0o12) + chr(5711 - 5595) + chr(102) + chr(0b11000 + 0o25) + chr(0b111000)))(LwwoV1LmMhGU, HiRQ2kkvQ_TV)
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c\xe0\x17\xc7\xcb\xf0\x13~\x8b\xe0\x15r'), '\x64' + '\145' + chr(0b1100011) + chr(0b1001101 + 0o42) + chr(0b1100100) + '\145')(chr(0b11101 + 0o130) + chr(197 - 81) + chr(0b1100110) + '\055' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c\xb6)\xda\xda\xb3\x17!\x84\xef$i!3\xfdk\x84\xa4\x90\x95d\xeb\x84\x8b'), chr(0b1100100) + chr(7917 - 7816) + chr(0b1010110 + 0o15) + chr(111) + chr(0b1000100 + 0o40) + chr(101))(chr(117) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(0b100000 + 0o30)), LwwoV1LmMhGU)
|
apache/incubator-mxnet
|
python/mxnet/model.py
|
load_checkpoint
|
def load_checkpoint(prefix, epoch):
"""Load model checkpoint from file.
Parameters
----------
prefix : str
Prefix of model name.
epoch : int
Epoch number of model we would like to load.
Returns
-------
symbol : Symbol
The symbol configuration of computation network.
arg_params : dict of str to NDArray
Model parameter, dict of name to NDArray of net's weights.
aux_params : dict of str to NDArray
Model parameter, dict of name to NDArray of net's auxiliary states.
Notes
-----
- Symbol will be loaded from ``prefix-symbol.json``.
- Parameters will be loaded from ``prefix-epoch.params``.
"""
symbol = sym.load('%s-symbol.json' % prefix)
save_dict = nd.load('%s-%04d.params' % (prefix, epoch))
arg_params = {}
aux_params = {}
for k, v in save_dict.items():
tp, name = k.split(':', 1)
if tp == 'arg':
arg_params[name] = v
if tp == 'aux':
aux_params[name] = v
return (symbol, arg_params, aux_params)
|
python
|
def load_checkpoint(prefix, epoch):
"""Load model checkpoint from file.
Parameters
----------
prefix : str
Prefix of model name.
epoch : int
Epoch number of model we would like to load.
Returns
-------
symbol : Symbol
The symbol configuration of computation network.
arg_params : dict of str to NDArray
Model parameter, dict of name to NDArray of net's weights.
aux_params : dict of str to NDArray
Model parameter, dict of name to NDArray of net's auxiliary states.
Notes
-----
- Symbol will be loaded from ``prefix-symbol.json``.
- Parameters will be loaded from ``prefix-epoch.params``.
"""
symbol = sym.load('%s-symbol.json' % prefix)
save_dict = nd.load('%s-%04d.params' % (prefix, epoch))
arg_params = {}
aux_params = {}
for k, v in save_dict.items():
tp, name = k.split(':', 1)
if tp == 'arg':
arg_params[name] = v
if tp == 'aux':
aux_params[name] = v
return (symbol, arg_params, aux_params)
|
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"name",
"]",
"=",
"v",
"return",
"(",
"symbol",
",",
"arg_params",
",",
"aux_params",
")"
] |
Load model checkpoint from file.
Parameters
----------
prefix : str
Prefix of model name.
epoch : int
Epoch number of model we would like to load.
Returns
-------
symbol : Symbol
The symbol configuration of computation network.
arg_params : dict of str to NDArray
Model parameter, dict of name to NDArray of net's weights.
aux_params : dict of str to NDArray
Model parameter, dict of name to NDArray of net's auxiliary states.
Notes
-----
- Symbol will be loaded from ``prefix-symbol.json``.
- Parameters will be loaded from ``prefix-epoch.params``.
|
[
"Load",
"model",
"checkpoint",
"from",
"file",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/model.py#L424-L458
|
train
|
Loads the model checkpoint from file.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1000011 + 0o54) + chr(0b110011) + chr(49) + chr(1329 - 1279), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110110) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + chr(50) + chr(2519 - 2468), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b0 + 0o60) + chr(55), 47106 - 47098), ehT0Px3KOsy9('\x30' + chr(0b10 + 0o155) + chr(0b110001) + chr(2243 - 2188) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111 + 0o0) + '\x33' + chr(2125 - 2072) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + '\x31' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(1974 - 1863) + '\063' + '\066' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(1940 - 1892) + chr(111) + '\063' + '\064' + chr(48), 12446 - 12438), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b10001 + 0o136) + '\062' + chr(0b110011) + chr(0b100110 + 0o21), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7087 - 6976) + '\x33' + '\x32', 20113 - 20105), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(0b10010 + 0o45) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(766 - 655) + '\x31' + '\x30' + chr(751 - 702), ord("\x08")), ehT0Px3KOsy9(chr(1807 - 1759) + '\157' + '\061' + chr(0b110011) + chr(796 - 746), 41915 - 41907), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x35' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + chr(0b1010 + 0o50) + chr(0b100101 + 0o15) + chr(0b11 + 0o63), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + '\x35' + chr(50), 56138 - 56130), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + '\063' + chr(169 - 120) + chr(773 - 725), 0b1000), ehT0Px3KOsy9(chr(924 - 876) + chr(503 - 392) + '\066' + chr(52), 0b1000), ehT0Px3KOsy9(chr(736 - 688) + chr(0b1100011 + 0o14) + '\062' + '\067' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(840 - 789) + chr(1946 - 1892) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(2537 - 2485) + chr(285 - 235), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(141 - 92) + chr(2100 - 2049) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(766 - 717) + chr(1468 - 1416), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3548 - 3437) + '\x32' + chr(0b110010) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1903 - 1855) + chr(0b1101111) + chr(0b11110 + 0o25) + chr(0b110101) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(0b110100) + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(48) + '\063', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(1564 - 1513) + chr(0b110101) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(5875 - 5764) + chr(53) + chr(112 - 57), 64795 - 64787), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(0b1010 + 0o46) + '\x34', 59573 - 59565), ehT0Px3KOsy9(chr(0b110000) + chr(0b100111 + 0o110) + chr(0b1001 + 0o51) + chr(52) + chr(0b110101), 15449 - 15441), ehT0Px3KOsy9(chr(2055 - 2007) + '\157' + chr(0b111 + 0o53) + '\063' + chr(0b0 + 0o67), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + '\067' + chr(0b1101 + 0o50), 8), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(959 - 908) + chr(0b10000 + 0o47), 0b1000), ehT0Px3KOsy9(chr(690 - 642) + '\157' + chr(0b110010 + 0o0) + chr(53) + chr(0b10110 + 0o40), 61795 - 61787), ehT0Px3KOsy9(chr(1249 - 1201) + chr(0b1101111) + chr(0b110001) + chr(882 - 829) + chr(1454 - 1405), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111 + 0o150) + chr(0b100001 + 0o21) + '\062' + chr(55), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110101) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4'), chr(100) + chr(6220 - 6119) + '\143' + chr(0b101 + 0o152) + chr(0b11100 + 0o110) + '\145')(chr(0b100100 + 0o121) + '\164' + '\146' + chr(0b11010 + 0o23) + chr(0b11011 + 0o35)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def nhXjZl9bd8HA(K1Ha0XjJTAE7, LWTVW06OsTjl):
Usr5ykvL2UZF = I7QF3KlS7cYz.mxtdQMeiwJZJ(xafqLlk3kkUe(SXOLrMavuUCe(b'\xefA>4\x00\x84l\x9c\x8c\xb1p\x0e.4'), '\x64' + chr(0b1100101) + chr(0b1001011 + 0o30) + chr(3904 - 3793) + chr(0b1011000 + 0o14) + chr(0b1001011 + 0o32))(chr(0b110111 + 0o76) + chr(0b100111 + 0o115) + chr(0b1100110) + '\055' + chr(56)) % K1Ha0XjJTAE7)
HiRQ2kkvQ_TV = Vy_CFRcuYrTj.mxtdQMeiwJZJ(xafqLlk3kkUe(SXOLrMavuUCe(b'\xefA>bI\xddj\xdd\x90\xfeh\x1c,)'), chr(0b1110 + 0o126) + chr(101) + '\x63' + '\x6f' + chr(0b1100100) + chr(0b1010110 + 0o17))('\x75' + chr(116) + chr(10157 - 10055) + chr(0b101101) + chr(0b11110 + 0o32)) % (K1Ha0XjJTAE7, LWTVW06OsTjl))
GroVdzCONmWS = {}
p9GVyAqRTTRh = {}
for (OolUPRJhRaJd, cMbll0QYhULo) in xafqLlk3kkUe(HiRQ2kkvQ_TV, xafqLlk3kkUe(SXOLrMavuUCe(b'\x84He"0\xb3=\xba\x8c\xccRD'), chr(3850 - 3750) + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(0b1100100) + '\x65')(chr(117) + chr(0b10100 + 0o140) + chr(0b1101 + 0o131) + chr(45) + chr(0b100010 + 0o26)))():
(H4gv2k7w5Qi_, AIvJRzLdDfgF) = OolUPRJhRaJd.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0'), '\x64' + chr(761 - 660) + '\143' + chr(8779 - 8668) + '\x64' + chr(101))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(213 - 168) + '\x38'), ehT0Px3KOsy9('\x30' + chr(2309 - 2198) + chr(2384 - 2335), 9660 - 9652))
if H4gv2k7w5Qi_ == xafqLlk3kkUe(SXOLrMavuUCe(b'\xab@t'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(100) + '\145')(chr(11483 - 11366) + chr(794 - 678) + chr(7059 - 6957) + chr(1542 - 1497) + chr(56)):
GroVdzCONmWS[AIvJRzLdDfgF] = cMbll0QYhULo
if H4gv2k7w5Qi_ == xafqLlk3kkUe(SXOLrMavuUCe(b'\xabGk'), chr(5653 - 5553) + '\145' + chr(0b1100011) + '\157' + chr(3160 - 3060) + chr(0b1001011 + 0o32))(chr(12256 - 12139) + chr(116) + chr(0b1011101 + 0o11) + chr(0b101101) + chr(56)):
p9GVyAqRTTRh[AIvJRzLdDfgF] = cMbll0QYhULo
return (Usr5ykvL2UZF, GroVdzCONmWS, p9GVyAqRTTRh)
|
apache/incubator-mxnet
|
python/mxnet/model.py
|
FeedForward._check_arguments
|
def _check_arguments(self):
"""verify the argument of the default symbol and user provided parameters"""
if self.argument_checked:
return
assert(self.symbol is not None)
self.argument_checked = True
# check if symbol contain duplicated names.
_check_arguments(self.symbol)
# rematch parameters to delete useless ones
if self.allow_extra_params:
if self.arg_params:
arg_names = set(self.symbol.list_arguments())
self.arg_params = {k : v for k, v in self.arg_params.items()
if k in arg_names}
if self.aux_params:
aux_names = set(self.symbol.list_auxiliary_states())
self.aux_params = {k : v for k, v in self.aux_params.items()
if k in aux_names}
|
python
|
def _check_arguments(self):
"""verify the argument of the default symbol and user provided parameters"""
if self.argument_checked:
return
assert(self.symbol is not None)
self.argument_checked = True
# check if symbol contain duplicated names.
_check_arguments(self.symbol)
# rematch parameters to delete useless ones
if self.allow_extra_params:
if self.arg_params:
arg_names = set(self.symbol.list_arguments())
self.arg_params = {k : v for k, v in self.arg_params.items()
if k in arg_names}
if self.aux_params:
aux_names = set(self.symbol.list_auxiliary_states())
self.aux_params = {k : v for k, v in self.aux_params.items()
if k in aux_names}
|
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] |
verify the argument of the default symbol and user provided parameters
|
[
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/model.py#L546-L565
|
train
|
verify the argument of the default symbol and user provided 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(0b1010101 + 0o32) + chr(0b11101 + 0o27) + chr(0b110 + 0o52), 35923 - 35915), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(54) + '\x32', 25899 - 25891), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b100110 + 0o20) + chr(2322 - 2272), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(910 - 860) + '\065' + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101010 + 0o11) + '\066' + chr(1555 - 1502), 0o10), ehT0Px3KOsy9(chr(852 - 804) + '\157' + chr(0b110011) + '\x32' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110 + 0o151) + '\061' + chr(0b110011) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010101 + 0o32) + chr(2054 - 1999), 0b1000), ehT0Px3KOsy9(chr(671 - 623) + chr(6421 - 6310) + chr(53) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x36' + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(53) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(1125 - 1077) + chr(6295 - 6184) + '\062' + '\x35' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(53) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110111) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1945 - 1897) + '\157' + '\061' + chr(0b101011 + 0o6), 0o10), ehT0Px3KOsy9('\x30' + chr(1917 - 1806) + chr(0b10011 + 0o40) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1101 + 0o46) + '\x34' + chr(0b1000 + 0o54), 0b1000), ehT0Px3KOsy9('\060' + chr(6564 - 6453) + chr(0b110010) + '\064' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(198 - 150) + chr(0b1101111) + chr(1065 - 1016) + chr(0b110100) + '\065', 0b1000), ehT0Px3KOsy9(chr(2190 - 2142) + chr(0b1101111) + '\061' + '\x30' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(0b110011) + chr(1068 - 1018), 50300 - 50292), ehT0Px3KOsy9(chr(48) + chr(111) + chr(742 - 691) + chr(2107 - 2054) + chr(55), 28633 - 28625), ehT0Px3KOsy9(chr(439 - 391) + '\x6f' + chr(881 - 830) + '\062' + chr(0b101110 + 0o10), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + chr(53) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101 + 0o55) + chr(1852 - 1803) + chr(1104 - 1054), 0b1000), ehT0Px3KOsy9(chr(319 - 271) + '\x6f' + '\061', 0b1000), ehT0Px3KOsy9(chr(383 - 335) + '\x6f' + chr(1836 - 1785) + '\x33' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + chr(49) + chr(0b10011 + 0o41) + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(50) + chr(0b11 + 0o57), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1940 - 1891) + '\065' + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b1010 + 0o50) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110101) + chr(0b1101 + 0o51), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + chr(0b110111) + chr(0b10111 + 0o33), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\065' + chr(0b1001 + 0o50), 8), ehT0Px3KOsy9(chr(1502 - 1454) + chr(111) + chr(49) + '\x35' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\062' + '\x32', 8), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(53) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(964 - 915) + '\x32' + chr(0b1101 + 0o51), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1010100 + 0o33) + '\x34' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(2102 - 2054) + '\157' + chr(228 - 177) + '\067' + '\062', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + chr(0b110101) + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e'), chr(1918 - 1818) + '\x65' + chr(99) + '\157' + chr(100) + '\x65')(chr(0b11101 + 0o130) + '\164' + chr(102) + '\055' + chr(124 - 68)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def x6ziukcWPURq(oVre8I6UXc3b):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'A\x80\x95\xdd\x98\xb04ssQ\x84\xcc\x0fRly'), chr(2134 - 2034) + chr(6616 - 6515) + chr(0b100110 + 0o75) + chr(5272 - 5161) + '\x64' + chr(101))(chr(12562 - 12445) + chr(116) + chr(0b1100110) + '\055' + chr(0b11001 + 0o37))):
return
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'S\x8b\x9f\xca\x9a\xb9'), chr(100) + '\145' + chr(99) + chr(11277 - 11166) + '\x64' + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(8134 - 8032) + chr(0b101101) + chr(56))) is not None
oVre8I6UXc3b.iUwsloeyBWfb = ehT0Px3KOsy9(chr(540 - 492) + chr(0b1010110 + 0o31) + '\x31', 8)
x6ziukcWPURq(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'S\x8b\x9f\xca\x9a\xb9'), '\144' + chr(101) + chr(0b1000101 + 0o36) + chr(0b1101111) + '\144' + chr(101))(chr(0b1110101) + '\x74' + chr(3748 - 3646) + chr(45) + chr(0b111000))))
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'A\x9e\x9e\xc7\x82\x8a?\x7fX@\x8d\xf6\x1cX{|\x89\xd0'), chr(0b1110 + 0o126) + chr(6008 - 5907) + chr(0b1100011) + chr(0b11110 + 0o121) + '\x64' + '\x65')(chr(0b1001011 + 0o52) + '\164' + chr(0b1011000 + 0o16) + chr(0b101101) + chr(56))):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'A\x80\x95\xf7\x85\xb4(fAA'), chr(5209 - 5109) + chr(6072 - 5971) + '\x63' + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(6734 - 6617) + chr(0b11010 + 0o132) + chr(102) + '\x2d' + chr(591 - 535))):
YjuRZH4bY1wk = MVEN8G6CxlvR(oVre8I6UXc3b.symbol.list_arguments())
oVre8I6UXc3b.GroVdzCONmWS = {OolUPRJhRaJd: cMbll0QYhULo for (OolUPRJhRaJd, cMbll0QYhULo) in oVre8I6UXc3b.arg_params.NzveIZ3IlSH9() if OolUPRJhRaJd in YjuRZH4bY1wk}
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'A\x87\x8a\xf7\x85\xb4(fAA'), chr(1279 - 1179) + chr(0b111101 + 0o50) + '\143' + '\157' + chr(6524 - 6424) + chr(101))(chr(117) + '\x74' + '\146' + chr(0b1001 + 0o44) + chr(0b100101 + 0o23))):
kNWn4vwNYXUk = MVEN8G6CxlvR(oVre8I6UXc3b.symbol.list_auxiliary_states())
oVre8I6UXc3b.p9GVyAqRTTRh = {OolUPRJhRaJd: cMbll0QYhULo for (OolUPRJhRaJd, cMbll0QYhULo) in oVre8I6UXc3b.aux_params.NzveIZ3IlSH9() if OolUPRJhRaJd in kNWn4vwNYXUk}
|
apache/incubator-mxnet
|
python/mxnet/model.py
|
FeedForward._init_params
|
def _init_params(self, inputs, overwrite=False):
"""Initialize weight parameters and auxiliary states."""
inputs = [x if isinstance(x, DataDesc) else DataDesc(*x) for x in inputs]
input_shapes = {item.name: item.shape for item in inputs}
arg_shapes, _, aux_shapes = self.symbol.infer_shape(**input_shapes)
assert arg_shapes is not None
input_dtypes = {item.name: item.dtype for item in inputs}
arg_dtypes, _, aux_dtypes = self.symbol.infer_type(**input_dtypes)
assert arg_dtypes is not None
arg_names = self.symbol.list_arguments()
input_names = input_shapes.keys()
param_names = [key for key in arg_names if key not in input_names]
aux_names = self.symbol.list_auxiliary_states()
param_name_attrs = [x for x in zip(arg_names, arg_shapes, arg_dtypes)
if x[0] in param_names]
arg_params = {k : nd.zeros(shape=s, dtype=t)
for k, s, t in param_name_attrs}
aux_name_attrs = [x for x in zip(aux_names, aux_shapes, aux_dtypes)
if x[0] in aux_names]
aux_params = {k : nd.zeros(shape=s, dtype=t)
for k, s, t in aux_name_attrs}
for k, v in arg_params.items():
if self.arg_params and k in self.arg_params and (not overwrite):
arg_params[k][:] = self.arg_params[k][:]
else:
self.initializer(k, v)
for k, v in aux_params.items():
if self.aux_params and k in self.aux_params and (not overwrite):
aux_params[k][:] = self.aux_params[k][:]
else:
self.initializer(k, v)
self.arg_params = arg_params
self.aux_params = aux_params
return (arg_names, list(param_names), aux_names)
|
python
|
def _init_params(self, inputs, overwrite=False):
"""Initialize weight parameters and auxiliary states."""
inputs = [x if isinstance(x, DataDesc) else DataDesc(*x) for x in inputs]
input_shapes = {item.name: item.shape for item in inputs}
arg_shapes, _, aux_shapes = self.symbol.infer_shape(**input_shapes)
assert arg_shapes is not None
input_dtypes = {item.name: item.dtype for item in inputs}
arg_dtypes, _, aux_dtypes = self.symbol.infer_type(**input_dtypes)
assert arg_dtypes is not None
arg_names = self.symbol.list_arguments()
input_names = input_shapes.keys()
param_names = [key for key in arg_names if key not in input_names]
aux_names = self.symbol.list_auxiliary_states()
param_name_attrs = [x for x in zip(arg_names, arg_shapes, arg_dtypes)
if x[0] in param_names]
arg_params = {k : nd.zeros(shape=s, dtype=t)
for k, s, t in param_name_attrs}
aux_name_attrs = [x for x in zip(aux_names, aux_shapes, aux_dtypes)
if x[0] in aux_names]
aux_params = {k : nd.zeros(shape=s, dtype=t)
for k, s, t in aux_name_attrs}
for k, v in arg_params.items():
if self.arg_params and k in self.arg_params and (not overwrite):
arg_params[k][:] = self.arg_params[k][:]
else:
self.initializer(k, v)
for k, v in aux_params.items():
if self.aux_params and k in self.aux_params and (not overwrite):
aux_params[k][:] = self.aux_params[k][:]
else:
self.initializer(k, v)
self.arg_params = arg_params
self.aux_params = aux_params
return (arg_names, list(param_names), aux_names)
|
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] |
Initialize weight parameters and auxiliary states.
|
[
"Initialize",
"weight",
"parameters",
"and",
"auxiliary",
"states",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/model.py#L573-L611
|
train
|
Initialize weight parameters and auxiliary states.
|
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(1119 - 1071) + chr(0b1101111) + '\x32' + chr(53) + '\060', 11630 - 11622), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(53) + '\067', 13450 - 13442), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(106 - 52), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(4060 - 3949) + chr(0b110000 + 0o3) + chr(0b101 + 0o62) + chr(0b101 + 0o57), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b110 + 0o57) + chr(0b1111 + 0o47), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(0b110011) + chr(224 - 172) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(50) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(49) + chr(52) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(2328 - 2274) + chr(48), 0b1000), ehT0Px3KOsy9(chr(1509 - 1461) + chr(111) + '\063' + chr(0b110001) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2757 - 2702) + chr(0b110010), 27377 - 27369), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(1057 - 1009) + '\060', 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(0b110000 + 0o5) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(0b10101 + 0o35) + chr(1182 - 1134) + chr(0b110111), 32106 - 32098), ehT0Px3KOsy9('\060' + chr(0b1011110 + 0o21) + chr(50) + chr(0b110011) + chr(0b110101), 51988 - 51980), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x36' + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(6418 - 6307) + '\062' + '\060' + chr(0b10000 + 0o43), 39537 - 39529), ehT0Px3KOsy9(chr(1552 - 1504) + '\x6f' + chr(0b110001) + '\x31' + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\060', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\064' + chr(49), 0o10), ehT0Px3KOsy9(chr(176 - 128) + chr(0b1110 + 0o141) + '\063' + chr(1407 - 1359) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(0b110110) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(1141 - 1093) + '\157' + chr(51) + chr(54) + chr(0b110110), 4696 - 4688), ehT0Px3KOsy9('\060' + chr(0b1100011 + 0o14) + chr(0b101 + 0o56) + chr(1352 - 1298) + '\x35', 53851 - 53843), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011101 + 0o22) + '\x33' + '\065' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1000010 + 0o55) + chr(0b110001) + chr(1533 - 1485) + chr(2277 - 2222), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100001 + 0o116) + chr(743 - 694) + chr(0b110111) + chr(0b10101 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(0b110001) + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11001 + 0o30) + '\x31' + chr(0b101011 + 0o5), 8), ehT0Px3KOsy9(chr(647 - 599) + chr(0b1101111) + chr(0b110010) + chr(805 - 756) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(1644 - 1533) + '\061' + chr(3003 - 2948), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(622 - 570) + '\066', 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + '\067' + '\x35', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(50) + chr(0b110010), 15098 - 15090), ehT0Px3KOsy9('\x30' + chr(0b1000011 + 0o54) + chr(0b110100) + chr(491 - 443), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(1693 - 1640) + '\063', 8), ehT0Px3KOsy9('\x30' + chr(0b1100011 + 0o14) + chr(0b110011) + '\060' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(50) + '\067' + '\066', 51042 - 51034), ehT0Px3KOsy9('\x30' + chr(0b1010110 + 0o31) + chr(0b110001) + chr(0b101 + 0o54) + '\x31', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1000000 + 0o57) + chr(1975 - 1922) + chr(1631 - 1583), 7792 - 7784)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x86'), chr(100) + '\145' + chr(99) + chr(0b1101111) + '\144' + chr(101))('\165' + '\x74' + chr(102) + chr(127 - 82) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZA2g9UpLKnnK(oVre8I6UXc3b, vXoupepMtCXU, owudp2xlhy9V=ehT0Px3KOsy9(chr(1434 - 1386) + chr(111) + chr(0b110000), 8)):
vXoupepMtCXU = [OeWW0F1dBPRQ if PlSM16l2KDPD(OeWW0F1dBPRQ, QGNCb0u8kPLl) else QGNCb0u8kPLl(*OeWW0F1dBPRQ) for OeWW0F1dBPRQ in vXoupepMtCXU]
MUaMiwsTdGeu = {N7j7ePTXzzI0.AIvJRzLdDfgF: N7j7ePTXzzI0.nauYfLglTpcb for N7j7ePTXzzI0 in vXoupepMtCXU}
(XjvwovEN6dlZ, VNGQdHSFPrso, Jc3yDgbCJFms) = oVre8I6UXc3b.symbol.infer_shape(**MUaMiwsTdGeu)
assert XjvwovEN6dlZ is not None
LNx8X3nuN609 = {N7j7ePTXzzI0.AIvJRzLdDfgF: N7j7ePTXzzI0.jSV9IKnemH7K for N7j7ePTXzzI0 in vXoupepMtCXU}
(cCU2MC2evx9e, VNGQdHSFPrso, MfxwNMdmqqTt) = oVre8I6UXc3b.symbol.infer_type(**LNx8X3nuN609)
assert cCU2MC2evx9e is not None
YjuRZH4bY1wk = oVre8I6UXc3b.symbol.list_arguments()
CMC8pWw9JJzH = MUaMiwsTdGeu.keys()
FDgTD8rHpSh6 = [K3J4ZwSlE0sT for K3J4ZwSlE0sT in YjuRZH4bY1wk if K3J4ZwSlE0sT not in CMC8pWw9JJzH]
kNWn4vwNYXUk = oVre8I6UXc3b.symbol.list_auxiliary_states()
xR3K3N9YQc6m = [OeWW0F1dBPRQ for OeWW0F1dBPRQ in pZ0NK2y6HRbn(YjuRZH4bY1wk, XjvwovEN6dlZ, cCU2MC2evx9e) if OeWW0F1dBPRQ[ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1445 - 1397), 8)] in FDgTD8rHpSh6]
GroVdzCONmWS = {OolUPRJhRaJd: Vy_CFRcuYrTj.zeros(shape=vGrByMSYMp9h, dtype=YeT3l7JgTbWR) for (OolUPRJhRaJd, vGrByMSYMp9h, YeT3l7JgTbWR) in xR3K3N9YQc6m}
w6Gjet9hY5mv = [OeWW0F1dBPRQ for OeWW0F1dBPRQ in pZ0NK2y6HRbn(kNWn4vwNYXUk, Jc3yDgbCJFms, MfxwNMdmqqTt) if OeWW0F1dBPRQ[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\060', 8)] in kNWn4vwNYXUk]
p9GVyAqRTTRh = {OolUPRJhRaJd: Vy_CFRcuYrTj.zeros(shape=vGrByMSYMp9h, dtype=YeT3l7JgTbWR) for (OolUPRJhRaJd, vGrByMSYMp9h, YeT3l7JgTbWR) in w6Gjet9hY5mv}
for (OolUPRJhRaJd, cMbll0QYhULo) in xafqLlk3kkUe(GroVdzCONmWS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\xd5he\xb5\xb4\xd3\x98\x0e\xa3\x80\x03'), chr(0b1100100) + chr(101) + '\143' + chr(0b1101111) + chr(0b1011001 + 0o13) + '\x65')(chr(3776 - 3659) + chr(0b1110100) + '\146' + chr(538 - 493) + chr(2759 - 2703)))():
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xddqV\x98\x94\xa3\x9e,\x9d\x9fi'), chr(0b1100100) + '\145' + chr(6538 - 6439) + chr(0b1101001 + 0o6) + chr(0b101001 + 0o73) + chr(101))('\165' + '\x74' + chr(8406 - 8304) + '\x2d' + chr(56))) and OolUPRJhRaJd in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xddqV\x98\x94\xa3\x9e,\x9d\x9fi'), chr(1599 - 1499) + chr(7589 - 7488) + chr(0b1100011) + chr(6095 - 5984) + '\x64' + chr(0b110100 + 0o61))(chr(6034 - 5917) + chr(116) + chr(102) + chr(253 - 208) + '\070')) and (not owudp2xlhy9V):
GroVdzCONmWS[OolUPRJhRaJd][:] = oVre8I6UXc3b.GroVdzCONmWS[OolUPRJhRaJd][:]
else:
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3\xd8xu\xa5\x94\x8b\x88W\xb3\xfd\r'), chr(0b1000101 + 0o37) + '\145' + chr(2834 - 2735) + '\x6f' + chr(0b1100100) + '\x65')(chr(1297 - 1180) + chr(116) + chr(102) + chr(469 - 424) + chr(56)))(OolUPRJhRaJd, cMbll0QYhULo)
for (OolUPRJhRaJd, cMbll0QYhULo) in xafqLlk3kkUe(p9GVyAqRTTRh, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\xd5he\xb5\xb4\xd3\x98\x0e\xa3\x80\x03'), '\x64' + chr(101) + chr(8733 - 8634) + chr(0b1101111) + '\x64' + chr(101))(chr(117) + '\x74' + chr(0b1001110 + 0o30) + chr(1616 - 1571) + '\x38'))():
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\x96YV\x85\xaf\x91\x836\xa4\x9aR'), chr(0b1100100) + chr(0b11111 + 0o106) + '\143' + chr(0b1101111) + chr(100) + chr(0b1100101))('\165' + chr(0b1000110 + 0o56) + chr(0b1100110) + chr(0b11010 + 0o23) + '\070')) and OolUPRJhRaJd in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\x96YV\x85\xaf\x91\x836\xa4\x9aR'), chr(100) + chr(6053 - 5952) + '\143' + chr(2342 - 2231) + chr(7407 - 7307) + chr(0b1100001 + 0o4))(chr(117) + chr(0b1110100) + chr(0b101111 + 0o67) + chr(45) + chr(56))) and (not owudp2xlhy9V):
p9GVyAqRTTRh[OolUPRJhRaJd][:] = oVre8I6UXc3b.p9GVyAqRTTRh[OolUPRJhRaJd][:]
else:
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3\xd8xu\xa5\x94\x8b\x88W\xb3\xfd\r'), '\144' + chr(0b1001110 + 0o27) + chr(0b1 + 0o142) + chr(0b1101111) + chr(0b1100100) + chr(0b1011 + 0o132))(chr(7140 - 7023) + chr(5241 - 5125) + chr(102) + chr(45) + chr(530 - 474)))(OolUPRJhRaJd, cMbll0QYhULo)
oVre8I6UXc3b.GroVdzCONmWS = GroVdzCONmWS
oVre8I6UXc3b.p9GVyAqRTTRh = p9GVyAqRTTRh
return (YjuRZH4bY1wk, YyaZ4tpXu4lf(FDgTD8rHpSh6), kNWn4vwNYXUk)
|
apache/incubator-mxnet
|
python/mxnet/model.py
|
FeedForward._init_predictor
|
def _init_predictor(self, input_shapes, type_dict=None):
"""Initialize the predictor module for running prediction."""
shapes = {name: self.arg_params[name].shape for name in self.arg_params}
shapes.update(dict(input_shapes))
if self._pred_exec is not None:
arg_shapes, _, _ = self.symbol.infer_shape(**shapes)
assert arg_shapes is not None, "Incomplete input shapes"
pred_shapes = [x.shape for x in self._pred_exec.arg_arrays]
if arg_shapes == pred_shapes:
return
# for now only use the first device
pred_exec = self.symbol.simple_bind(
self.ctx[0], grad_req='null', type_dict=type_dict, **shapes)
pred_exec.copy_params_from(self.arg_params, self.aux_params)
_check_arguments(self.symbol)
self._pred_exec = pred_exec
|
python
|
def _init_predictor(self, input_shapes, type_dict=None):
"""Initialize the predictor module for running prediction."""
shapes = {name: self.arg_params[name].shape for name in self.arg_params}
shapes.update(dict(input_shapes))
if self._pred_exec is not None:
arg_shapes, _, _ = self.symbol.infer_shape(**shapes)
assert arg_shapes is not None, "Incomplete input shapes"
pred_shapes = [x.shape for x in self._pred_exec.arg_arrays]
if arg_shapes == pred_shapes:
return
# for now only use the first device
pred_exec = self.symbol.simple_bind(
self.ctx[0], grad_req='null', type_dict=type_dict, **shapes)
pred_exec.copy_params_from(self.arg_params, self.aux_params)
_check_arguments(self.symbol)
self._pred_exec = pred_exec
|
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] |
Initialize the predictor module for running prediction.
|
[
"Initialize",
"the",
"predictor",
"module",
"for",
"running",
"prediction",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/model.py#L621-L637
|
train
|
Initialize the predictor module for running prediction.
|
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(1312 - 1264) + '\157' + chr(0b110010) + chr(0b1011 + 0o52) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(48) + chr(0b100001 + 0o21), 20336 - 20328), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(50) + chr(317 - 267), 308 - 300), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(53) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(9813 - 9702) + '\062' + '\067' + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\x33' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(60 - 10) + '\x31' + chr(1440 - 1387), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110100) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + '\063' + '\x35' + chr(50), 0o10), ehT0Px3KOsy9(chr(2279 - 2231) + chr(111) + '\061' + chr(52) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(7509 - 7398) + '\x32' + '\x35' + chr(1755 - 1701), 0b1000), ehT0Px3KOsy9('\x30' + chr(11290 - 11179) + chr(49) + chr(2779 - 2725) + chr(0b1101 + 0o51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(2715 - 2662) + chr(0b110010), 54923 - 54915), ehT0Px3KOsy9(chr(1096 - 1048) + chr(0b1101111) + '\x33' + chr(0b10100 + 0o37) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(692 - 581) + '\062' + chr(2317 - 2268) + chr(0b101011 + 0o10), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b10101 + 0o34) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + chr(7213 - 7102) + chr(2192 - 2141) + '\x34' + '\x30', 35777 - 35769), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(636 - 585) + '\x34' + '\x31', 4679 - 4671), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + '\x32' + chr(50) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(316 - 205) + chr(49) + chr(0b110110) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\067' + '\x36', 48298 - 48290), ehT0Px3KOsy9(chr(1171 - 1123) + chr(111) + chr(51) + chr(528 - 474) + chr(0b101 + 0o57), 53663 - 53655), ehT0Px3KOsy9(chr(1982 - 1934) + '\x6f' + chr(0b110010) + chr(0b111 + 0o53) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100000 + 0o21) + '\x34' + chr(161 - 108), ord("\x08")), ehT0Px3KOsy9(chr(2165 - 2117) + '\157' + '\061' + chr(0b110100) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(53) + '\066', 8), ehT0Px3KOsy9(chr(1364 - 1316) + chr(6828 - 6717) + chr(0b110011) + chr(0b1001 + 0o47) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(11555 - 11444) + '\063' + chr(0b101011 + 0o6) + chr(0b101111 + 0o7), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\x34' + chr(0b100010 + 0o22), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11001 + 0o31) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1872 - 1761) + chr(0b11001 + 0o31) + '\067' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b110010) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100001 + 0o16) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1996 - 1948) + '\x6f' + '\x32' + chr(123 - 71) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(1299 - 1245) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1000100 + 0o53) + chr(0b110101) + chr(203 - 149), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101001 + 0o10) + chr(660 - 607) + chr(0b11110 + 0o22), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\064' + chr(1897 - 1847), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(0b11110 + 0o24) + chr(0b110011), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(53) + chr(601 - 553), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x85'), chr(0b10100 + 0o120) + '\145' + chr(0b10011 + 0o120) + chr(111) + chr(100) + '\145')(chr(117) + chr(0b1110100) + chr(0b1011111 + 0o7) + '\055' + chr(0b100011 + 0o25)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def QJMydTg1EsPM(oVre8I6UXc3b, MUaMiwsTdGeu, p4kIWNblx_FU=None):
OVHEymXlQYjG = {AIvJRzLdDfgF: oVre8I6UXc3b.arg_params[AIvJRzLdDfgF].nauYfLglTpcb for AIvJRzLdDfgF in oVre8I6UXc3b.GroVdzCONmWS}
xafqLlk3kkUe(OVHEymXlQYjG, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1\xf6\x93k\xd6\x12\xc7J\x93R\xcbF'), chr(100) + chr(101) + chr(0b1100011) + chr(10368 - 10257) + chr(0b11100 + 0o110) + chr(101))('\x75' + '\x74' + chr(0b1100110 + 0o0) + '\055' + chr(2852 - 2796)))(wLqBDw8l0eIm(MUaMiwsTdGeu))
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xf2\xa0K\xdb\x03\xe8\\\x8f\x05'), '\x64' + '\x65' + '\x63' + chr(11918 - 11807) + chr(185 - 85) + chr(0b11011 + 0o112))(chr(0b1001000 + 0o55) + '\x74' + chr(0b1100110) + chr(0b101101) + '\x38')) is not None:
(XjvwovEN6dlZ, VNGQdHSFPrso, VNGQdHSFPrso) = oVre8I6UXc3b.symbol.infer_shape(**OVHEymXlQYjG)
assert XjvwovEN6dlZ is not None, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xec\xb1A\xd2,\xe1A\x9e\x03\x8e\x1f\x04\xa8\xfe\xb8\xc0\x92\xfa\x15\x0e\x91\xe3'), chr(4065 - 3965) + chr(101) + chr(99) + '\x6f' + chr(9814 - 9714) + '\x65')('\165' + chr(116) + '\146' + '\055' + chr(0b10010 + 0o46))
mrdg8Oq07DKk = [OeWW0F1dBPRQ.nauYfLglTpcb for OeWW0F1dBPRQ in oVre8I6UXc3b._pred_exec.UID9bv6APUBD]
if XjvwovEN6dlZ == mrdg8Oq07DKk:
return
LBIG10gOaulb = oVre8I6UXc3b.symbol.simple_bind(oVre8I6UXc3b.oM3jLo753XfX[ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x30', ord("\x08"))], grad_req=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xf7\xbeB'), chr(100) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(1441 - 1341) + chr(101))('\165' + '\164' + chr(102) + chr(45) + chr(0b111 + 0o61)), type_dict=p4kIWNblx_FU, **OVHEymXlQYjG)
xafqLlk3kkUe(LBIG10gOaulb, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8\xed\xa2W\xe0,\xecV\x8b\x0b\xdd)\x0c\xaa\xe4\xa1'), chr(0b1000100 + 0o40) + chr(0b10000 + 0o125) + '\x63' + '\157' + '\x64' + '\145')('\x75' + '\164' + chr(102) + chr(532 - 487) + '\070'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xec\xf0\xbdx\xdb&\xcek\xa4\x0b\xf9%'), chr(0b1100100) + chr(5967 - 5866) + '\x63' + chr(0b1010000 + 0o37) + chr(0b111110 + 0o46) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b1011000 + 0o16) + '\x2d' + '\x38')), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb\xbb\x95x\xc6\x1d\xfcv\xbe2\xfc\x1e'), chr(8762 - 8662) + '\145' + '\x63' + chr(0b1100011 + 0o14) + '\144' + chr(0b1011000 + 0o15))('\x75' + chr(116) + chr(2473 - 2371) + chr(398 - 353) + '\070')))
x6ziukcWPURq(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\xfb\xbfL\xd00'), chr(100) + '\x65' + '\x63' + '\157' + '\x64' + chr(6848 - 6747))(chr(8508 - 8391) + '\164' + chr(0b1100110) + '\055' + '\x38')))
oVre8I6UXc3b.YFlKHSjVxjos = LBIG10gOaulb
|
apache/incubator-mxnet
|
python/mxnet/model.py
|
FeedForward._init_iter
|
def _init_iter(self, X, y, is_train):
"""Initialize the iterator given input."""
if isinstance(X, (np.ndarray, nd.NDArray)):
if y is None:
if is_train:
raise ValueError('y must be specified when X is numpy.ndarray')
else:
y = np.zeros(X.shape[0])
if not isinstance(y, (np.ndarray, nd.NDArray)):
raise TypeError('y must be ndarray when X is numpy.ndarray')
if X.shape[0] != y.shape[0]:
raise ValueError("The numbers of data points and labels not equal")
if y.ndim == 2 and y.shape[1] == 1:
y = y.flatten()
if y.ndim != 1:
raise ValueError("Label must be 1D or 2D (with 2nd dimension being 1)")
if is_train:
return io.NDArrayIter(X, y, min(X.shape[0], self.numpy_batch_size),
shuffle=is_train, last_batch_handle='roll_over')
else:
return io.NDArrayIter(X, y, min(X.shape[0], self.numpy_batch_size), shuffle=False)
if not isinstance(X, io.DataIter):
raise TypeError('X must be DataIter, NDArray or numpy.ndarray')
return X
|
python
|
def _init_iter(self, X, y, is_train):
"""Initialize the iterator given input."""
if isinstance(X, (np.ndarray, nd.NDArray)):
if y is None:
if is_train:
raise ValueError('y must be specified when X is numpy.ndarray')
else:
y = np.zeros(X.shape[0])
if not isinstance(y, (np.ndarray, nd.NDArray)):
raise TypeError('y must be ndarray when X is numpy.ndarray')
if X.shape[0] != y.shape[0]:
raise ValueError("The numbers of data points and labels not equal")
if y.ndim == 2 and y.shape[1] == 1:
y = y.flatten()
if y.ndim != 1:
raise ValueError("Label must be 1D or 2D (with 2nd dimension being 1)")
if is_train:
return io.NDArrayIter(X, y, min(X.shape[0], self.numpy_batch_size),
shuffle=is_train, last_batch_handle='roll_over')
else:
return io.NDArrayIter(X, y, min(X.shape[0], self.numpy_batch_size), shuffle=False)
if not isinstance(X, io.DataIter):
raise TypeError('X must be DataIter, NDArray or numpy.ndarray')
return X
|
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] |
Initialize the iterator given input.
|
[
"Initialize",
"the",
"iterator",
"given",
"input",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/model.py#L639-L662
|
train
|
Initialize the iterator given input.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1853 - 1804) + chr(1290 - 1242) + chr(2229 - 2181), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1620 - 1569) + chr(0b101000 + 0o12) + '\061', 5580 - 5572), ehT0Px3KOsy9(chr(48) + chr(0b100110 + 0o111) + '\x37' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(2875 - 2821) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\x33' + chr(0b100100 + 0o23), 3459 - 3451), ehT0Px3KOsy9('\x30' + chr(6680 - 6569) + chr(2478 - 2428) + chr(51) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1706 - 1658) + '\157' + '\x35' + chr(306 - 252), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100000 + 0o117) + chr(556 - 504) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + '\x31' + '\x32' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3217 - 3106) + chr(0b1101 + 0o52) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10 + 0o61) + chr(878 - 826) + chr(0b110000), 38849 - 38841), ehT0Px3KOsy9('\x30' + chr(0b1111 + 0o140) + chr(0b1000 + 0o52) + chr(0b110010) + chr(0b110110), 26064 - 26056), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100 + 0o55) + '\x33' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\061' + '\x37', 57266 - 57258), ehT0Px3KOsy9(chr(647 - 599) + chr(0b1101111) + '\x33' + '\067' + chr(52), 37995 - 37987), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(9154 - 9043) + chr(49) + chr(1718 - 1664) + '\065', 0o10), ehT0Px3KOsy9(chr(1937 - 1889) + chr(0b1101111) + chr(50) + '\x35' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b101011 + 0o5) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b10111 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(1333 - 1285) + '\x6f' + chr(50) + '\x35' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1835 - 1787) + '\x6f' + '\x31' + chr(0b110101), 29869 - 29861), ehT0Px3KOsy9('\060' + chr(5720 - 5609) + chr(49) + chr(2260 - 2208) + chr(0b100101 + 0o21), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(9751 - 9640) + chr(802 - 751) + chr(0b110011) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + '\x34' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100010 + 0o15) + '\062' + '\x32' + chr(52), 43981 - 43973), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1000101 + 0o52) + chr(53) + chr(0b10001 + 0o46), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001100 + 0o43) + chr(0b110011) + chr(0b11 + 0o60) + chr(1404 - 1354), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b101110 + 0o3) + chr(0b1001 + 0o55), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x37' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b110110) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(50) + chr(97 - 48), 0o10), ehT0Px3KOsy9(chr(1699 - 1651) + chr(111) + chr(51) + chr(51) + '\067', 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + '\061' + chr(2006 - 1954), 0o10), ehT0Px3KOsy9(chr(1508 - 1460) + chr(0b1101111) + chr(1018 - 969) + chr(2841 - 2786) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b110100) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1723 - 1673) + chr(2503 - 2452) + chr(2930 - 2875), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(1275 - 1226) + chr(0b1100 + 0o50), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101110 + 0o4) + '\x33' + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(10268 - 10157) + chr(50) + '\x37' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(49) + chr(0b10110 + 0o32), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1000110 + 0o51) + chr(53) + chr(0b110000), 4910 - 4902)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'n'), '\144' + '\145' + chr(5675 - 5576) + '\x6f' + '\x64' + '\145')('\165' + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(0b110011 + 0o5)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZGQuczTzrjJS(oVre8I6UXc3b, xEgrFJ0REugl, SqiSOtYOqOJH, axnxdawmCuz_):
if PlSM16l2KDPD(xEgrFJ0REugl, (xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'.\xb5^\xc2-\xffW'), '\x64' + chr(101) + chr(0b1100011) + chr(0b1101111 + 0o0) + chr(100) + chr(0b1100101))(chr(843 - 726) + '\164' + chr(1708 - 1606) + chr(1931 - 1886) + chr(0b100 + 0o64))), xafqLlk3kkUe(Vy_CFRcuYrTj, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\x95~\xc2-\xffW'), '\x64' + chr(101) + chr(0b1011010 + 0o11) + chr(111) + chr(0b1100100) + chr(101))('\x75' + chr(11440 - 11324) + chr(0b1100110) + chr(45) + chr(0b101101 + 0o13))))):
if SqiSOtYOqOJH is None:
if axnxdawmCuz_:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b"9\xf1R\xc5,\xea\x0eE6\x1c\x93\xe6?\xac\x95\x13\xc2\xa3\x7f\x89z\x0e\xb9\x0b\xb4w\xfa'N\xd7\xff\xaaa\x08\x9b\xb1\xe2\xf9\xda\xba2\xb0F"), chr(5360 - 5260) + chr(0b1100101) + chr(0b110011 + 0o60) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b100100 + 0o121) + chr(825 - 709) + chr(102) + '\055' + chr(0b101000 + 0o20)))
else:
SqiSOtYOqOJH = WqUC3KWvYVup.zeros(xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9('\060' + '\x6f' + chr(48), 0o10)])
if not PlSM16l2KDPD(SqiSOtYOqOJH, (xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'.\xb5^\xc2-\xffW'), chr(0b1000111 + 0o35) + chr(0b101010 + 0o73) + chr(99) + chr(0b10001 + 0o136) + chr(4426 - 4326) + chr(101))(chr(6977 - 6860) + chr(0b1011111 + 0o25) + chr(0b1100110) + chr(296 - 251) + chr(0b110101 + 0o3))), xafqLlk3kkUe(Vy_CFRcuYrTj, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\x95~\xc2-\xffW'), '\144' + '\145' + chr(99) + chr(111) + chr(100) + '\x65')(chr(4192 - 4075) + '\164' + '\x66' + chr(196 - 151) + chr(0b10010 + 0o46))))):
raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'9\xf1R\xc5,\xea\x0eE6\x1c\x8e\xf2;\xbd\x8e\x14\xd2\xe6l\xc1h\x08\xfc=\xb4F\xa9nS\x82\xfc\xafuV\x8c\xfb\xed\xef\xc9\xa99'), chr(100) + '\145' + '\143' + chr(8317 - 8206) + '\144' + '\x65')(chr(0b1111 + 0o146) + '\x74' + chr(102) + '\x2d' + '\070'))
if xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'.\xb0J\xe99\xd2IK\x07L\x83\xf4'), chr(0b1100100) + chr(872 - 771) + chr(9228 - 9129) + '\x6f' + chr(9071 - 8971) + '\x65')(chr(7910 - 7793) + chr(0b1110100) + '\x66' + chr(0b1101 + 0o40) + chr(0b110111 + 0o1)))[ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110000), 8)] != xafqLlk3kkUe(SqiSOtYOqOJH, xafqLlk3kkUe(SXOLrMavuUCe(b'.\xb0J\xe99\xd2IK\x07L\x83\xf4'), chr(100) + '\x65' + chr(99) + '\x6f' + chr(5882 - 5782) + chr(0b1100101))('\x75' + chr(116) + '\x66' + chr(0b101101) + '\x38'))[ehT0Px3KOsy9('\x30' + chr(0b1101110 + 0o1) + chr(0b1111 + 0o41), 8)]:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\xb9Z\x901\xebCE6N\x93\xb65\xa9\xdc\x11\xca\xb2z\x89}\t\xb5\x0b\xe0\\\xfa/S\x93\xb1\xb3m\x1a\x87\xf3\xff\xbd\xd5\xa74\xf1Z\xc1*\xffB'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(100) + '\x65')(chr(5657 - 5540) + chr(0b1100 + 0o150) + '\146' + chr(0b101101) + '\070'))
if xafqLlk3kkUe(SqiSOtYOqOJH, xafqLlk3kkUe(SXOLrMavuUCe(b"'\xbeR\xc0\x17\xdcGs Z\xaa\xc2"), '\x64' + chr(2538 - 2437) + chr(8118 - 8019) + '\x6f' + '\x64' + chr(0b1100101))('\165' + chr(0b1110100) + chr(8645 - 8543) + chr(0b101101) + '\070')) == ehT0Px3KOsy9('\060' + chr(2111 - 2000) + chr(50), ord("\x08")) and xafqLlk3kkUe(SqiSOtYOqOJH, xafqLlk3kkUe(SXOLrMavuUCe(b'.\xb0J\xe99\xd2IK\x07L\x83\xf4'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(9920 - 9820) + chr(101))(chr(0b1110101) + chr(116) + '\x66' + chr(0b101101) + '\070'))[ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(1208 - 1159), ord("\x08"))] == ehT0Px3KOsy9(chr(0b110000) + chr(11962 - 11851) + '\061', 8):
SqiSOtYOqOJH = SqiSOtYOqOJH.dbBtynT6oMgz()
if xafqLlk3kkUe(SqiSOtYOqOJH, xafqLlk3kkUe(SXOLrMavuUCe(b"'\xbeR\xc0\x17\xdcGs Z\xaa\xc2"), '\x64' + chr(0b100011 + 0o102) + chr(99) + chr(111) + chr(1825 - 1725) + chr(0b110011 + 0o62))('\165' + chr(0b1001001 + 0o53) + chr(102) + chr(0b11001 + 0o24) + '\070')) != ehT0Px3KOsy9(chr(1774 - 1726) + '\157' + chr(937 - 888), 8):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c\xb0]\xd53\xbeCR H\xc0\xf4?\xef\xcd1\x8b\xa9i\x89?"\xfcM\xe3F\xae&\x1d\xc5\xff\xbb,\x1c\x8b\xf2\xe9\xf3\xc8\xa1/\xbf\x1f\xd2:\xf7@@s\r\xc9'), '\144' + chr(0b1010011 + 0o22) + chr(0b1100011) + chr(5456 - 5345) + chr(4128 - 4028) + '\x65')(chr(0b1011011 + 0o32) + chr(116) + chr(0b1100110) + chr(0b101101) + '\070'))
if axnxdawmCuz_:
return xafqLlk3kkUe(Bey9a5LqdaFa, xafqLlk3kkUe(SXOLrMavuUCe(b"\x0e\x95~\xc2-\xffWn'Y\x92"), '\144' + '\145' + '\143' + chr(111) + chr(0b10011 + 0o121) + chr(1824 - 1723))(chr(6108 - 5991) + chr(6904 - 6788) + chr(0b1001000 + 0o36) + chr(45) + chr(2008 - 1952)))(xEgrFJ0REugl, SqiSOtYOqOJH, Dx22bkKPdt5d(xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'.\xb0J\xe99\xd2IK\x07L\x83\xf4'), chr(0b1001111 + 0o25) + chr(101) + '\x63' + chr(0b1101111) + chr(0b11001 + 0o113) + chr(0b1010101 + 0o20))('\165' + chr(0b10011 + 0o141) + chr(6733 - 6631) + chr(0b101101) + '\x38'))[ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + chr(48), 8)], xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b".\xa4R\xc0&\xc1LF'_\x88\xc9)\xa6\x86\x10"), chr(8114 - 8014) + chr(1449 - 1348) + chr(2876 - 2777) + chr(2739 - 2628) + chr(4899 - 4799) + chr(0b1100101))(chr(117) + '\164' + '\146' + '\055' + chr(678 - 622)))), shuffle=axnxdawmCuz_, last_batch_handle=xafqLlk3kkUe(SXOLrMavuUCe(b'2\xbeS\xdc\x00\xf1XB!'), '\144' + '\145' + chr(99) + chr(0b1011110 + 0o21) + chr(0b1100100) + '\x65')(chr(11287 - 11170) + chr(0b1100 + 0o150) + chr(102) + chr(45) + chr(2193 - 2137)))
else:
return xafqLlk3kkUe(Bey9a5LqdaFa, xafqLlk3kkUe(SXOLrMavuUCe(b"\x0e\x95~\xc2-\xffWn'Y\x92"), chr(0b1100100) + chr(0b101010 + 0o73) + chr(2222 - 2123) + chr(0b1000 + 0o147) + '\144' + chr(101))(chr(117) + chr(116) + '\x66' + chr(0b101101) + chr(0b111000)))(xEgrFJ0REugl, SqiSOtYOqOJH, Dx22bkKPdt5d(xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'.\xb0J\xe99\xd2IK\x07L\x83\xf4'), chr(0b1000100 + 0o40) + '\x65' + chr(6029 - 5930) + '\157' + chr(4006 - 3906) + '\x65')('\165' + chr(116) + '\x66' + chr(0b100001 + 0o14) + chr(0b111000)))[ehT0Px3KOsy9(chr(1955 - 1907) + '\x6f' + chr(93 - 45), 8)], xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b".\xa4R\xc0&\xc1LF'_\x88\xc9)\xa6\x86\x10"), '\x64' + '\145' + chr(8040 - 7941) + chr(0b1101001 + 0o6) + chr(0b110011 + 0o61) + '\145')(chr(13651 - 13534) + chr(5562 - 5446) + chr(0b1111 + 0o127) + chr(0b101101) + chr(56)))), shuffle=ehT0Px3KOsy9('\x30' + chr(6162 - 6051) + chr(48), 8))
if not PlSM16l2KDPD(xEgrFJ0REugl, xafqLlk3kkUe(Bey9a5LqdaFa, xafqLlk3kkUe(SXOLrMavuUCe(b'\x04\xb0K\xd1\x16\xeaKU'), chr(0b1100100) + chr(0b1010011 + 0o22) + chr(99) + chr(6286 - 6175) + chr(0b1100100) + '\x65')('\x75' + chr(3616 - 3500) + '\x66' + chr(747 - 702) + '\x38'))):
raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'\x18\xf1R\xc5,\xea\x0eE6\x1c\xa4\xf7.\xae\xb5\x01\xce\xb47\x89C"\x9d\x17\xe6N\xa3nR\x85\xb1\xb1y\x15\x92\xe6\xa2\xf3\xdf\xa92\xa3^\xc9'), chr(9657 - 9557) + '\145' + '\143' + chr(111) + '\144' + chr(3030 - 2929))('\165' + chr(0b1100110 + 0o16) + '\146' + chr(45) + '\070'))
return xEgrFJ0REugl
|
apache/incubator-mxnet
|
python/mxnet/model.py
|
FeedForward._init_eval_iter
|
def _init_eval_iter(self, eval_data):
"""Initialize the iterator given eval_data."""
if eval_data is None:
return eval_data
if isinstance(eval_data, (tuple, list)) and len(eval_data) == 2:
if eval_data[0] is not None:
if eval_data[1] is None and isinstance(eval_data[0], io.DataIter):
return eval_data[0]
input_data = (np.array(eval_data[0]) if isinstance(eval_data[0], list)
else eval_data[0])
input_label = (np.array(eval_data[1]) if isinstance(eval_data[1], list)
else eval_data[1])
return self._init_iter(input_data, input_label, is_train=True)
else:
raise ValueError("Eval data is NONE")
if not isinstance(eval_data, io.DataIter):
raise TypeError('Eval data must be DataIter, or ' \
'NDArray/numpy.ndarray/list pair (i.e. tuple/list of length 2)')
return eval_data
|
python
|
def _init_eval_iter(self, eval_data):
"""Initialize the iterator given eval_data."""
if eval_data is None:
return eval_data
if isinstance(eval_data, (tuple, list)) and len(eval_data) == 2:
if eval_data[0] is not None:
if eval_data[1] is None and isinstance(eval_data[0], io.DataIter):
return eval_data[0]
input_data = (np.array(eval_data[0]) if isinstance(eval_data[0], list)
else eval_data[0])
input_label = (np.array(eval_data[1]) if isinstance(eval_data[1], list)
else eval_data[1])
return self._init_iter(input_data, input_label, is_train=True)
else:
raise ValueError("Eval data is NONE")
if not isinstance(eval_data, io.DataIter):
raise TypeError('Eval data must be DataIter, or ' \
'NDArray/numpy.ndarray/list pair (i.e. tuple/list of length 2)')
return eval_data
|
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] |
Initialize the iterator given eval_data.
|
[
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"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/model.py#L664-L682
|
train
|
Initialize the iterator given eval_data.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1010100 + 0o33) + '\x32' + chr(48) + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(54) + '\x31', 32563 - 32555), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110101) + '\064', 47584 - 47576), ehT0Px3KOsy9(chr(1548 - 1500) + chr(0b1100100 + 0o13) + chr(0b1110 + 0o45) + chr(53) + '\x34', 0o10), ehT0Px3KOsy9(chr(827 - 779) + '\x6f' + chr(1784 - 1735) + '\x33' + '\x35', 34292 - 34284), ehT0Px3KOsy9(chr(652 - 604) + chr(0b1101111) + '\x31' + '\066' + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(50) + chr(0b110001), 2572 - 2564), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(54) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(2950 - 2839) + chr(0b100000 + 0o21) + chr(51) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1559 - 1511) + chr(11125 - 11014) + '\x33' + chr(51) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(2466 - 2355) + chr(0b110001) + '\060' + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(0b101001 + 0o16) + chr(0b11100 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(833 - 785) + chr(0b1101111) + chr(833 - 778) + chr(0b110111), 51629 - 51621), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\066' + chr(50), 32286 - 32278), ehT0Px3KOsy9(chr(116 - 68) + chr(0b1010001 + 0o36) + '\x32' + chr(48) + chr(0b110111), 8), ehT0Px3KOsy9(chr(307 - 259) + '\x6f' + chr(49) + '\x36' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + '\061' + chr(0b1000 + 0o51), 28665 - 28657), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + '\062' + chr(716 - 663), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1000011 + 0o54) + '\062' + '\x35' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000011 + 0o54) + chr(0b10 + 0o64) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\x31' + chr(0b101111 + 0o1), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(730 - 677) + chr(517 - 468), ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + '\062' + chr(50) + chr(0b110001), 8), ehT0Px3KOsy9('\x30' + chr(3700 - 3589) + chr(0b10 + 0o61) + chr(0b110000) + chr(1449 - 1401), 0o10), ehT0Px3KOsy9(chr(1027 - 979) + chr(111) + chr(0b101 + 0o62) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1011010 + 0o25) + chr(0b110011) + '\062' + '\061', 2021 - 2013), ehT0Px3KOsy9('\060' + chr(0b1100111 + 0o10) + chr(2151 - 2101) + '\x31', 4072 - 4064), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(0b110001) + chr(0b110110) + '\063', 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b100 + 0o153) + '\x31' + chr(0b100011 + 0o20) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + '\061' + '\x31', 8), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + '\x33' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + chr(0b11001 + 0o31) + '\062', 0o10), ehT0Px3KOsy9(chr(1324 - 1276) + chr(0b10110 + 0o131) + chr(0b110001) + chr(48) + '\x35', 8), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + chr(51) + chr(0b100101 + 0o21) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + chr(4628 - 4517) + chr(818 - 767) + '\061', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1110 + 0o43) + chr(0b110011) + chr(598 - 544), 20194 - 20186), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100110 + 0o14) + '\067' + chr(0b11011 + 0o25), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(711 - 660) + chr(53) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(1709 - 1661) + '\157' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(2239 - 2187) + '\061', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1988 - 1940) + chr(0b10011 + 0o134) + chr(1817 - 1764) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9'), chr(0b1010101 + 0o17) + chr(0b101111 + 0o66) + chr(0b1000001 + 0o42) + chr(0b1101101 + 0o2) + chr(100) + '\145')(chr(0b10 + 0o163) + chr(403 - 287) + '\146' + chr(0b101101) + chr(0b1101 + 0o53)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def u7zMiVMGoztX(oVre8I6UXc3b, lFsSHWR5AXWi):
if lFsSHWR5AXWi is None:
return lFsSHWR5AXWi
if PlSM16l2KDPD(lFsSHWR5AXWi, (KNyTy8rYcwji, YyaZ4tpXu4lf)) and c2A0yzQpDQB3(lFsSHWR5AXWi) == ehT0Px3KOsy9(chr(48) + chr(10244 - 10133) + '\062', 0b1000):
if lFsSHWR5AXWi[ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(750 - 702), ord("\x08"))] is not None:
if lFsSHWR5AXWi[ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(0b11001 + 0o30), 8)] is None and PlSM16l2KDPD(lFsSHWR5AXWi[ehT0Px3KOsy9(chr(0b110000) + chr(7088 - 6977) + chr(0b110000), 8)], xafqLlk3kkUe(Bey9a5LqdaFa, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3\x10X\x8d\x14\x01\xf4\x80'), chr(0b1100100) + chr(101) + chr(0b111111 + 0o44) + chr(0b1101111) + chr(7262 - 7162) + chr(0b1100101))(chr(0b1110101) + chr(0b11001 + 0o133) + chr(102) + '\055' + '\070'))):
return lFsSHWR5AXWi[ehT0Px3KOsy9(chr(1622 - 1574) + chr(8228 - 8117) + '\x30', 8)]
CE7M9xPq0X8s = WqUC3KWvYVup.B0ePDhpqxN5n(lFsSHWR5AXWi[ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110000), 8)]) if PlSM16l2KDPD(lFsSHWR5AXWi[ehT0Px3KOsy9('\060' + chr(2772 - 2661) + chr(48), 8)], YyaZ4tpXu4lf) else lFsSHWR5AXWi[ehT0Px3KOsy9(chr(2168 - 2120) + '\x6f' + chr(48), 8)]
NnRwctBKApwj = WqUC3KWvYVup.B0ePDhpqxN5n(lFsSHWR5AXWi[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31', 8)]) if PlSM16l2KDPD(lFsSHWR5AXWi[ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31', 8)], YyaZ4tpXu4lf) else lFsSHWR5AXWi[ehT0Px3KOsy9(chr(48) + chr(0b110 + 0o151) + '\061', 8)]
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\x18B\x85)*\xf8\x86<\xab'), chr(0b1100100) + '\145' + chr(6493 - 6394) + '\157' + '\x64' + chr(101))(chr(0b1 + 0o164) + '\164' + chr(0b1100110) + chr(0b1000 + 0o45) + '\x38'))(CE7M9xPq0X8s, NnRwctBKApwj, is_train=ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31', 8))
else:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\x07M\x80}\x11\xf0\x868\xf9,\x8f\x1f|\xc8>\xcc'), chr(851 - 751) + '\x65' + chr(0b11101 + 0o106) + chr(111) + '\144' + '\x65')(chr(0b1110101) + '\164' + chr(0b11101 + 0o111) + '\055' + chr(1190 - 1134)))
if not PlSM16l2KDPD(lFsSHWR5AXWi, xafqLlk3kkUe(Bey9a5LqdaFa, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3\x10X\x8d\x14\x01\xf4\x80'), '\144' + '\145' + '\143' + '\157' + '\x64' + chr(101))(chr(117) + chr(0b1110100) + '\146' + chr(45) + chr(2638 - 2582)))):
raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\x07M\x80}\x11\xf0\x868\xf9(\x89LF\xa7\x12\xec5\xedU\xfcH\xd8\xb4X\xa3=S3\xfb=\\\x01\xb0k,\xd9\x93.\x0f\xf2\x1c\\\x95s\x1b\xf5\x93+\xab$\x85\x10^\xee\x03\xfd5\xd9U\xe1[\xb1\xe8T\xfft]|\xfdhb)\x9462\xd1\x99uA\xe8\x17\x0c\x808\x1b\xf6\x861\xf9w\xd5'), chr(0b111011 + 0o51) + chr(101) + chr(8599 - 8500) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(1231 - 1114) + chr(116) + chr(102) + chr(906 - 861) + '\x38'))
return lFsSHWR5AXWi
|
apache/incubator-mxnet
|
python/mxnet/model.py
|
FeedForward.predict
|
def predict(self, X, num_batch=None, return_data=False, reset=True):
"""Run the prediction, always only use one device.
Parameters
----------
X : mxnet.DataIter
num_batch : int or None
The number of batch to run. Go though all batches if ``None``.
Returns
-------
y : numpy.ndarray or a list of numpy.ndarray if the network has multiple outputs.
The predicted value of the output.
"""
X = self._init_iter(X, None, is_train=False)
if reset:
X.reset()
data_shapes = X.provide_data
data_names = [x[0] for x in data_shapes]
type_dict = dict((key, value.dtype) for (key, value) in self.arg_params.items())
for x in X.provide_data:
if isinstance(x, DataDesc):
type_dict[x.name] = x.dtype
else:
type_dict[x[0]] = mx_real_t
self._init_predictor(data_shapes, type_dict)
batch_size = X.batch_size
data_arrays = [self._pred_exec.arg_dict[name] for name in data_names]
output_list = [[] for _ in range(len(self._pred_exec.outputs))]
if return_data:
data_list = [[] for _ in X.provide_data]
label_list = [[] for _ in X.provide_label]
i = 0
for batch in X:
_load_data(batch, data_arrays)
self._pred_exec.forward(is_train=False)
padded = batch.pad
real_size = batch_size - padded
for o_list, o_nd in zip(output_list, self._pred_exec.outputs):
o_list.append(o_nd[0:real_size].asnumpy())
if return_data:
for j, x in enumerate(batch.data):
data_list[j].append(x[0:real_size].asnumpy())
for j, x in enumerate(batch.label):
label_list[j].append(x[0:real_size].asnumpy())
i += 1
if num_batch is not None and i == num_batch:
break
outputs = [np.concatenate(x) for x in output_list]
if len(outputs) == 1:
outputs = outputs[0]
if return_data:
data = [np.concatenate(x) for x in data_list]
label = [np.concatenate(x) for x in label_list]
if len(data) == 1:
data = data[0]
if len(label) == 1:
label = label[0]
return outputs, data, label
else:
return outputs
|
python
|
def predict(self, X, num_batch=None, return_data=False, reset=True):
"""Run the prediction, always only use one device.
Parameters
----------
X : mxnet.DataIter
num_batch : int or None
The number of batch to run. Go though all batches if ``None``.
Returns
-------
y : numpy.ndarray or a list of numpy.ndarray if the network has multiple outputs.
The predicted value of the output.
"""
X = self._init_iter(X, None, is_train=False)
if reset:
X.reset()
data_shapes = X.provide_data
data_names = [x[0] for x in data_shapes]
type_dict = dict((key, value.dtype) for (key, value) in self.arg_params.items())
for x in X.provide_data:
if isinstance(x, DataDesc):
type_dict[x.name] = x.dtype
else:
type_dict[x[0]] = mx_real_t
self._init_predictor(data_shapes, type_dict)
batch_size = X.batch_size
data_arrays = [self._pred_exec.arg_dict[name] for name in data_names]
output_list = [[] for _ in range(len(self._pred_exec.outputs))]
if return_data:
data_list = [[] for _ in X.provide_data]
label_list = [[] for _ in X.provide_label]
i = 0
for batch in X:
_load_data(batch, data_arrays)
self._pred_exec.forward(is_train=False)
padded = batch.pad
real_size = batch_size - padded
for o_list, o_nd in zip(output_list, self._pred_exec.outputs):
o_list.append(o_nd[0:real_size].asnumpy())
if return_data:
for j, x in enumerate(batch.data):
data_list[j].append(x[0:real_size].asnumpy())
for j, x in enumerate(batch.label):
label_list[j].append(x[0:real_size].asnumpy())
i += 1
if num_batch is not None and i == num_batch:
break
outputs = [np.concatenate(x) for x in output_list]
if len(outputs) == 1:
outputs = outputs[0]
if return_data:
data = [np.concatenate(x) for x in data_list]
label = [np.concatenate(x) for x in label_list]
if len(data) == 1:
data = data[0]
if len(label) == 1:
label = label[0]
return outputs, data, label
else:
return outputs
|
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] |
Run the prediction, always only use one device.
Parameters
----------
X : mxnet.DataIter
num_batch : int or None
The number of batch to run. Go though all batches if ``None``.
Returns
-------
y : numpy.ndarray or a list of numpy.ndarray if the network has multiple outputs.
The predicted value of the output.
|
[
"Run",
"the",
"prediction",
"always",
"only",
"use",
"one",
"device",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/model.py#L684-L751
|
train
|
Run the prediction on the specified set of data.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11101 + 0o24) + chr(1671 - 1618) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + '\x34' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(423 - 373) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(0b110110) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000 + 0o147) + chr(51) + chr(0b110111) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(0b110011) + chr(1084 - 1035), 62272 - 62264), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(55) + chr(0b1010 + 0o52), 23701 - 23693), ehT0Px3KOsy9(chr(1123 - 1075) + chr(111) + '\x31' + chr(323 - 271) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + '\062' + chr(54) + chr(2401 - 2347), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\067' + chr(0b1111 + 0o42), ord("\x08")), ehT0Px3KOsy9(chr(906 - 858) + chr(0b1101101 + 0o2) + '\x32' + chr(0b101100 + 0o11) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b1011 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + chr(51) + chr(0b101 + 0o57) + chr(0b11001 + 0o33), 0o10), ehT0Px3KOsy9('\x30' + chr(982 - 871) + '\x33' + '\062' + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100000 + 0o17) + chr(50) + '\x31' + '\x32', 50243 - 50235), ehT0Px3KOsy9('\060' + chr(4419 - 4308) + chr(738 - 688) + chr(1720 - 1669) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(0b10000 + 0o43) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(51) + '\x32' + chr(0b110011), 64304 - 64296), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\060' + chr(0b110000), 24149 - 24141), ehT0Px3KOsy9(chr(1171 - 1123) + '\x6f' + chr(0b110010) + '\x31' + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100 + 0o143) + chr(1739 - 1687) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b100000 + 0o117) + '\x32' + '\x31' + chr(2680 - 2626), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001011 + 0o44) + chr(0b11000 + 0o31) + '\x34' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + chr(49) + chr(0b1001 + 0o51) + chr(792 - 744), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(52) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(2194 - 2145) + '\x36' + '\x35', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(1298 - 1247) + chr(0b1010 + 0o46) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(1266 - 1218) + chr(9352 - 9241) + '\x33' + chr(0b110000 + 0o0) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + chr(2359 - 2308) + '\067' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(1927 - 1879), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(52) + chr(1087 - 1038), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1000 + 0o53) + '\064' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(49) + chr(0b1100 + 0o47), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010110 + 0o31) + '\x33' + chr(2530 - 2478) + chr(0b100100 + 0o20), 8), ehT0Px3KOsy9(chr(2222 - 2174) + chr(5336 - 5225) + chr(52) + chr(2692 - 2639), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(436 - 386) + chr(0b110000) + chr(0b1101 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(49) + '\062' + '\x35', 8), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + chr(0b110001) + chr(0b110110) + chr(0b100100 + 0o20), 43306 - 43298), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(50), 30620 - 30612)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x35' + chr(48), 10126 - 10118)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'D'), chr(0b1100100) + chr(5594 - 5493) + '\x63' + chr(5444 - 5333) + chr(0b1010001 + 0o23) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1100110) + '\x2d' + chr(2449 - 2393)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def POyImYQwg5VB(oVre8I6UXc3b, xEgrFJ0REugl, FqaHOz_cr8MC=None, sDUjI2bGiTV1=ehT0Px3KOsy9('\x30' + chr(0b1010 + 0o145) + chr(48), 10624 - 10616), G0V856pwkJmZ=ehT0Px3KOsy9('\x30' + chr(0b11 + 0o154) + chr(49), 0b1000)):
xEgrFJ0REugl = oVre8I6UXc3b._init_iter(xEgrFJ0REugl, None, is_train=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1395 - 1347), 8))
if G0V856pwkJmZ:
xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'\x18\x85&\x12\x8a'), chr(256 - 156) + chr(0b1100101) + '\x63' + chr(4755 - 4644) + chr(100) + '\145')('\x75' + chr(0b1110010 + 0o2) + chr(8503 - 8401) + chr(212 - 167) + chr(2534 - 2478)))()
YtBSCi2IqLNC = xEgrFJ0REugl.W_4juOjmKyw_
qBtzKag1J9_6 = [OeWW0F1dBPRQ[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110000), 8)] for OeWW0F1dBPRQ in YtBSCi2IqLNC]
p4kIWNblx_FU = wLqBDw8l0eIm(((K3J4ZwSlE0sT, QmmgWUB13VCJ.jSV9IKnemH7K) for (K3J4ZwSlE0sT, QmmgWUB13VCJ) in oVre8I6UXc3b.arg_params.NzveIZ3IlSH9()))
for OeWW0F1dBPRQ in xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'=\xbfa\x1d\x8b\x96\x96\r\xfd\xc0\xdeL'), chr(0b1100100) + '\145' + '\143' + chr(0b11011 + 0o124) + chr(0b1100100) + chr(0b1100101))('\165' + '\x74' + chr(8769 - 8667) + chr(0b10110 + 0o27) + chr(2791 - 2735))):
if PlSM16l2KDPD(OeWW0F1dBPRQ, QGNCb0u8kPLl):
p4kIWNblx_FU[OeWW0F1dBPRQ.AIvJRzLdDfgF] = OeWW0F1dBPRQ.jSV9IKnemH7K
else:
p4kIWNblx_FU[OeWW0F1dBPRQ[ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1100100 + 0o13) + '\x30', 8)]] = JsaW5JBGnibT
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'5\x89;\x1e\x8a\x86\x8c\x12\xd3\xdd\xc0p\x90\xbd\xf8'), chr(5595 - 5495) + '\x65' + chr(0b1100011) + chr(3522 - 3411) + chr(0b1100011 + 0o1) + chr(101))(chr(0b1110101) + '\164' + chr(289 - 187) + chr(0b101101) + chr(0b10010 + 0o46)))(YtBSCi2IqLNC, p4kIWNblx_FU)
ix9dZyeAmUxY = xEgrFJ0REugl.ix9dZyeAmUxY
AL8InOtH0jCp = [oVre8I6UXc3b._pred_exec.XXPvg13AmiwJ[AIvJRzLdDfgF] for AIvJRzLdDfgF in qBtzKag1J9_6]
NgKT75vyg5ws = [[] for VNGQdHSFPrso in vQr8gNKaIaWE(c2A0yzQpDQB3(oVre8I6UXc3b._pred_exec.Dx_DllZ8uCko))]
if sDUjI2bGiTV1:
BGqtzsYiRc30 = [[] for VNGQdHSFPrso in xEgrFJ0REugl.W_4juOjmKyw_]
vfm3yqdi6BGN = [[] for VNGQdHSFPrso in xEgrFJ0REugl.bl0LbEh3vaI0]
WVxHKyX45z_L = ehT0Px3KOsy9(chr(1083 - 1035) + chr(111) + chr(0b100 + 0o54), 8)
for dNwAahu8tvoY in xEgrFJ0REugl:
Duqx9whRLnnl(dNwAahu8tvoY, AL8InOtH0jCp)
xafqLlk3kkUe(oVre8I6UXc3b._pred_exec, xafqLlk3kkUe(SXOLrMavuUCe(b'-\x827\x14\xbd\x91\xa9.\xf0\xf4\xc3&'), chr(0b1100100) + chr(4301 - 4200) + chr(99) + chr(111) + chr(0b1100100) + chr(101))(chr(117) + '\164' + chr(6968 - 6866) + chr(0b101101) + '\x38'))(is_train=ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b110000 + 0o77) + '\060', 8))
Jr6qMmXilxlt = dNwAahu8tvoY.jq0C7ttmqXPS
UpcfrwsxfRlU = ix9dZyeAmUxY - Jr6qMmXilxlt
for (praN4a4UR6jp, r5QlWxj6jFZX) in pZ0NK2y6HRbn(NgKT75vyg5ws, xafqLlk3kkUe(oVre8I6UXc3b._pred_exec, xafqLlk3kkUe(SXOLrMavuUCe(b'.\x98\n3\x92\xb5\xa6X\xc3\xfa\xc2|'), '\144' + '\145' + '\143' + chr(8341 - 8230) + chr(2841 - 2741) + chr(0b111 + 0o136))('\165' + chr(0b10100 + 0o140) + '\x66' + chr(1066 - 1021) + chr(2212 - 2156)))):
xafqLlk3kkUe(praN4a4UR6jp, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b\x90%\x12\x90\xbd'), chr(0b1100100) + '\x65' + '\143' + chr(0b1011110 + 0o21) + '\144' + chr(101))(chr(117) + '\x74' + '\146' + chr(0b101101) + chr(0b101011 + 0o15)))(xafqLlk3kkUe(r5QlWxj6jFZX[ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(899 - 788) + chr(1492 - 1444), 8):UpcfrwsxfRlU], xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b\x93;\x02\x93\xa9\x85'), chr(0b1100100) + '\145' + chr(0b100101 + 0o76) + chr(5323 - 5212) + chr(100) + chr(0b100000 + 0o105))(chr(3114 - 2997) + chr(0b1110100) + chr(0b1100110) + chr(0b1011 + 0o42) + chr(741 - 685)))())
if sDUjI2bGiTV1:
for (tlORBuYsiw3X, OeWW0F1dBPRQ) in YlkZvXL8qwsX(xafqLlk3kkUe(dNwAahu8tvoY, xafqLlk3kkUe(SXOLrMavuUCe(b'?\xac;\x1d\x8e\xef\xb8V\xd3\xdf\xef['), chr(9485 - 9385) + chr(101) + chr(0b101 + 0o136) + chr(912 - 801) + chr(2602 - 2502) + '\145')(chr(9841 - 9724) + '\164' + chr(0b1100110) + chr(45) + '\070'))):
xafqLlk3kkUe(BGqtzsYiRc30[tlORBuYsiw3X], xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b\x90%\x12\x90\xbd'), chr(100) + '\x65' + '\x63' + chr(111) + chr(0b1100100) + '\145')('\x75' + chr(116) + chr(102) + '\055' + chr(0b111000)))(xafqLlk3kkUe(OeWW0F1dBPRQ[ehT0Px3KOsy9(chr(844 - 796) + '\157' + chr(0b101110 + 0o2), 8):UpcfrwsxfRlU], xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b\x93;\x02\x93\xa9\x85'), '\x64' + '\x65' + chr(0b1010 + 0o131) + '\157' + '\144' + chr(0b1011110 + 0o7))(chr(117) + '\x74' + chr(0b1100110) + chr(0b100011 + 0o12) + chr(56)))())
for (tlORBuYsiw3X, OeWW0F1dBPRQ) in YlkZvXL8qwsX(xafqLlk3kkUe(dNwAahu8tvoY, xafqLlk3kkUe(SXOLrMavuUCe(b'>\xb2\x008\xb2\x9f\xb0\x15\xf2\x89\x91k'), chr(0b101100 + 0o70) + '\145' + chr(0b1000000 + 0o43) + '\x6f' + chr(6745 - 6645) + chr(0b1000100 + 0o41))(chr(117) + chr(0b1110100) + chr(7844 - 7742) + chr(45) + chr(0b111000)))):
xafqLlk3kkUe(vfm3yqdi6BGN[tlORBuYsiw3X], xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b\x90%\x12\x90\xbd'), '\x64' + '\x65' + '\143' + chr(0b10011 + 0o134) + chr(8437 - 8337) + '\145')(chr(117) + chr(0b1110100) + chr(8988 - 8886) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(OeWW0F1dBPRQ[ehT0Px3KOsy9(chr(2271 - 2223) + chr(0b1101111) + '\x30', 8):UpcfrwsxfRlU], xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b\x93;\x02\x93\xa9\x85'), chr(100) + chr(101) + chr(2267 - 2168) + '\157' + '\x64' + '\x65')('\165' + chr(0b1001110 + 0o46) + chr(6772 - 6670) + chr(0b100101 + 0o10) + chr(1640 - 1584)))())
WVxHKyX45z_L += ehT0Px3KOsy9(chr(150 - 102) + chr(0b111110 + 0o61) + chr(0b11111 + 0o22), 8)
if FqaHOz_cr8MC is not None and WVxHKyX45z_L == FqaHOz_cr8MC:
break
Dx_DllZ8uCko = [WqUC3KWvYVup.concatenate(OeWW0F1dBPRQ) for OeWW0F1dBPRQ in NgKT75vyg5ws]
if c2A0yzQpDQB3(Dx_DllZ8uCko) == ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2170 - 2121), 8):
Dx_DllZ8uCko = Dx_DllZ8uCko[ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(0b110000), 8)]
if sDUjI2bGiTV1:
ULnjp6D6efFH = [WqUC3KWvYVup.concatenate(OeWW0F1dBPRQ) for OeWW0F1dBPRQ in BGqtzsYiRc30]
TRUOLFLuD08x = [WqUC3KWvYVup.concatenate(OeWW0F1dBPRQ) for OeWW0F1dBPRQ in vfm3yqdi6BGN]
if c2A0yzQpDQB3(ULnjp6D6efFH) == ehT0Px3KOsy9(chr(359 - 311) + chr(0b1101111) + chr(0b1 + 0o60), 8):
ULnjp6D6efFH = ULnjp6D6efFH[ehT0Px3KOsy9(chr(873 - 825) + chr(6763 - 6652) + chr(0b101001 + 0o7), 8)]
if c2A0yzQpDQB3(TRUOLFLuD08x) == ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(7122 - 7011) + chr(384 - 335), 8):
TRUOLFLuD08x = TRUOLFLuD08x[ehT0Px3KOsy9('\060' + '\x6f' + '\x30', 8)]
return (Dx_DllZ8uCko, ULnjp6D6efFH, TRUOLFLuD08x)
else:
return Dx_DllZ8uCko
|
apache/incubator-mxnet
|
python/mxnet/model.py
|
FeedForward.score
|
def score(self, X, eval_metric='acc', num_batch=None, batch_end_callback=None, reset=True):
"""Run the model given an input and calculate the score
as assessed by an evaluation metric.
Parameters
----------
X : mxnet.DataIter
eval_metric : metric.metric
The metric for calculating score.
num_batch : int or None
The number of batches to run. Go though all batches if ``None``.
Returns
-------
s : float
The final score.
"""
# setup metric
if not isinstance(eval_metric, metric.EvalMetric):
eval_metric = metric.create(eval_metric)
X = self._init_iter(X, None, is_train=False)
if reset:
X.reset()
data_shapes = X.provide_data
data_names = [x[0] for x in data_shapes]
type_dict = dict((key, value.dtype) for (key, value) in self.arg_params.items())
for x in X.provide_data:
if isinstance(x, DataDesc):
type_dict[x.name] = x.dtype
else:
type_dict[x[0]] = mx_real_t
self._init_predictor(data_shapes, type_dict)
data_arrays = [self._pred_exec.arg_dict[name] for name in data_names]
for i, batch in enumerate(X):
if num_batch is not None and i == num_batch:
break
_load_data(batch, data_arrays)
self._pred_exec.forward(is_train=False)
eval_metric.update(batch.label, self._pred_exec.outputs)
if batch_end_callback is not None:
batch_end_params = BatchEndParam(epoch=0,
nbatch=i,
eval_metric=eval_metric,
locals=locals())
_multiple_callbacks(batch_end_callback, batch_end_params)
return eval_metric.get()[1]
|
python
|
def score(self, X, eval_metric='acc', num_batch=None, batch_end_callback=None, reset=True):
"""Run the model given an input and calculate the score
as assessed by an evaluation metric.
Parameters
----------
X : mxnet.DataIter
eval_metric : metric.metric
The metric for calculating score.
num_batch : int or None
The number of batches to run. Go though all batches if ``None``.
Returns
-------
s : float
The final score.
"""
# setup metric
if not isinstance(eval_metric, metric.EvalMetric):
eval_metric = metric.create(eval_metric)
X = self._init_iter(X, None, is_train=False)
if reset:
X.reset()
data_shapes = X.provide_data
data_names = [x[0] for x in data_shapes]
type_dict = dict((key, value.dtype) for (key, value) in self.arg_params.items())
for x in X.provide_data:
if isinstance(x, DataDesc):
type_dict[x.name] = x.dtype
else:
type_dict[x[0]] = mx_real_t
self._init_predictor(data_shapes, type_dict)
data_arrays = [self._pred_exec.arg_dict[name] for name in data_names]
for i, batch in enumerate(X):
if num_batch is not None and i == num_batch:
break
_load_data(batch, data_arrays)
self._pred_exec.forward(is_train=False)
eval_metric.update(batch.label, self._pred_exec.outputs)
if batch_end_callback is not None:
batch_end_params = BatchEndParam(epoch=0,
nbatch=i,
eval_metric=eval_metric,
locals=locals())
_multiple_callbacks(batch_end_callback, batch_end_params)
return eval_metric.get()[1]
|
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Run the model given an input and calculate the score
as assessed by an evaluation metric.
Parameters
----------
X : mxnet.DataIter
eval_metric : metric.metric
The metric for calculating score.
num_batch : int or None
The number of batches to run. Go though all batches if ``None``.
Returns
-------
s : float
The final score.
|
[
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/model.py#L753-L802
|
train
|
Run the model given an input and calculate the score.
|
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) + '\061' + chr(0b110101) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1001100 + 0o43) + chr(51) + chr(53) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101 + 0o142) + chr(0b110110) + '\065', 38728 - 38720), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\063' + chr(0b100010 + 0o23), 62497 - 62489), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1 + 0o61) + chr(48) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(1535 - 1487) + chr(0b1101111) + chr(0b110010) + '\x37' + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(11586 - 11475) + '\x31' + chr(1065 - 1010) + chr(0b11010 + 0o34), 0o10), ehT0Px3KOsy9('\060' + chr(7655 - 7544) + chr(50) + chr(51) + '\x33', 26504 - 26496), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1100 + 0o45) + chr(54), 11728 - 11720), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1010 + 0o51) + chr(52) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(6116 - 6005) + chr(1772 - 1722) + chr(54) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x37' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(2116 - 2063) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(0b110011) + chr(0b1011 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(911 - 856) + chr(1959 - 1908), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b110111) + chr(0b110111), 35157 - 35149), ehT0Px3KOsy9(chr(534 - 486) + '\x6f' + chr(0b110011) + chr(1936 - 1887) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101000 + 0o12) + chr(48) + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + chr(1594 - 1543) + chr(283 - 232) + chr(54), 0b1000), ehT0Px3KOsy9(chr(418 - 370) + chr(111) + '\067' + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(2764 - 2653) + '\061' + chr(49) + chr(2444 - 2389), 0o10), ehT0Px3KOsy9(chr(1555 - 1507) + chr(111) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(0b1 + 0o60) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\065' + chr(0b100010 + 0o25), 42480 - 42472), ehT0Px3KOsy9('\x30' + chr(0b100011 + 0o114) + chr(0b110011) + chr(53) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1172 - 1120) + '\064', 0b1000), ehT0Px3KOsy9(chr(940 - 892) + '\x6f' + chr(0b1100 + 0o47), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + '\063' + chr(414 - 363) + chr(0b10101 + 0o33), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(50) + '\066', 20195 - 20187), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + '\x36' + chr(0b11000 + 0o32), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + '\063' + '\x37', 5043 - 5035), ehT0Px3KOsy9(chr(0b110000) + chr(6669 - 6558) + '\x31' + chr(0b101111 + 0o1) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(3567 - 3456) + '\x33' + chr(2303 - 2251) + chr(2550 - 2496), ord("\x08")), ehT0Px3KOsy9(chr(2161 - 2113) + '\157' + chr(0b110110) + '\x35', 8), ehT0Px3KOsy9(chr(70 - 22) + chr(3658 - 3547) + chr(0b110010) + '\x33' + chr(673 - 625), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(52) + '\060', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(1936 - 1882) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101011 + 0o4) + chr(49) + '\063', 15419 - 15411), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(0b11 + 0o61) + chr(417 - 369), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1011 + 0o144) + '\065' + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'B'), chr(100) + chr(9889 - 9788) + chr(0b0 + 0o143) + '\157' + '\144' + '\x65')(chr(3092 - 2975) + chr(116) + chr(6278 - 6176) + chr(1244 - 1199) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def n9fd4FsgoqFs(oVre8I6UXc3b, xEgrFJ0REugl, tbbpbfMnen5w=xafqLlk3kkUe(SXOLrMavuUCe(b'\r\x8bV'), chr(3267 - 3167) + chr(0b1100101) + '\x63' + chr(0b11101 + 0o122) + '\144' + '\145')(chr(117) + chr(116) + '\146' + chr(0b101101) + chr(0b111000)), FqaHOz_cr8MC=None, W8VoATJOxM2T=None, G0V856pwkJmZ=ehT0Px3KOsy9(chr(0b110000) + chr(1413 - 1302) + '\x31', 17449 - 17441)):
if not PlSM16l2KDPD(tbbpbfMnen5w, xafqLlk3kkUe(UyTbk4dY9zDl, xafqLlk3kkUe(SXOLrMavuUCe(b')\x9eT\xf1\xcb\xda\n\xe9g\x80'), chr(2822 - 2722) + chr(101) + chr(0b111010 + 0o51) + chr(111) + chr(0b1100100) + chr(0b110 + 0o137))(chr(0b10000 + 0o145) + chr(0b1110100) + '\146' + '\055' + chr(0b100010 + 0o26)))):
tbbpbfMnen5w = UyTbk4dY9zDl.zXm8hKpI6bmL(tbbpbfMnen5w)
xEgrFJ0REugl = oVre8I6UXc3b._init_iter(xEgrFJ0REugl, None, is_train=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10011 + 0o35), 8))
if G0V856pwkJmZ:
xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\x8dF\xf8\xf2'), chr(9437 - 9337) + '\x65' + chr(99) + '\157' + '\x64' + chr(0b1100101))(chr(8660 - 8543) + '\x74' + chr(0b1100110) + '\x2d' + chr(0b1011 + 0o55)))()
YtBSCi2IqLNC = xEgrFJ0REugl.W_4juOjmKyw_
qBtzKag1J9_6 = [OeWW0F1dBPRQ[ehT0Px3KOsy9(chr(1697 - 1649) + '\x6f' + '\x30', 8)] for OeWW0F1dBPRQ in YtBSCi2IqLNC]
p4kIWNblx_FU = wLqBDw8l0eIm(((K3J4ZwSlE0sT, QmmgWUB13VCJ.jSV9IKnemH7K) for (K3J4ZwSlE0sT, QmmgWUB13VCJ) in oVre8I6UXc3b.arg_params.NzveIZ3IlSH9()))
for OeWW0F1dBPRQ in xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b';\xb7\x01\xf7\xf3\xf0\x14\xf6E\x9a\xc4b'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(2017 - 1906) + '\144' + chr(0b1000101 + 0o40))(chr(8258 - 8141) + '\164' + '\x66' + '\055' + '\070')):
if PlSM16l2KDPD(OeWW0F1dBPRQ, QGNCb0u8kPLl):
p4kIWNblx_FU[OeWW0F1dBPRQ.AIvJRzLdDfgF] = OeWW0F1dBPRQ.jSV9IKnemH7K
else:
p4kIWNblx_FU[OeWW0F1dBPRQ[ehT0Px3KOsy9(chr(991 - 943) + '\x6f' + '\060', 8)]] = JsaW5JBGnibT
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'3\x81[\xf4\xf2\xe0\x0e\xe9k\x87\xda^\x1f\xb4I'), '\144' + chr(2004 - 1903) + chr(762 - 663) + '\157' + '\x64' + chr(0b1100101))('\x75' + chr(116) + chr(0b10011 + 0o123) + '\x2d' + chr(56)))(YtBSCi2IqLNC, p4kIWNblx_FU)
AL8InOtH0jCp = [oVre8I6UXc3b._pred_exec.XXPvg13AmiwJ[AIvJRzLdDfgF] for AIvJRzLdDfgF in qBtzKag1J9_6]
for (WVxHKyX45z_L, dNwAahu8tvoY) in YlkZvXL8qwsX(xEgrFJ0REugl):
if FqaHOz_cr8MC is not None and WVxHKyX45z_L == FqaHOz_cr8MC:
break
Duqx9whRLnnl(dNwAahu8tvoY, AL8InOtH0jCp)
xafqLlk3kkUe(oVre8I6UXc3b._pred_exec, xafqLlk3kkUe(SXOLrMavuUCe(b'+\x8aW\xfe\xc5\xf7+\xd5H\xae\xd9\x08'), chr(100) + chr(0b1011001 + 0o14) + '\x63' + chr(6346 - 6235) + '\144' + '\145')('\x75' + '\x74' + chr(6811 - 6709) + chr(45) + '\x38'))(is_train=ehT0Px3KOsy9(chr(0b110000) + chr(3471 - 3360) + '\x30', 8))
xafqLlk3kkUe(tbbpbfMnen5w, xafqLlk3kkUe(SXOLrMavuUCe(b'6\x9ct\xd8\xef\xf14\xf5w\xd7\xd6\r'), chr(1981 - 1881) + '\x65' + chr(6781 - 6682) + chr(0b1100111 + 0o10) + chr(0b1100100) + chr(101))('\x75' + chr(6309 - 6193) + chr(102) + chr(45) + chr(0b100110 + 0o22)))(xafqLlk3kkUe(dNwAahu8tvoY, xafqLlk3kkUe(SXOLrMavuUCe(b'8\xba`\xd2\xca\xf92\xeeJ\xd3\x8bE'), '\x64' + chr(0b1100101) + chr(99) + chr(12298 - 12187) + '\x64' + chr(0b111110 + 0o47))(chr(117) + chr(7194 - 7078) + chr(0b111101 + 0o51) + chr(0b101101) + chr(2621 - 2565))), xafqLlk3kkUe(oVre8I6UXc3b._pred_exec, xafqLlk3kkUe(SXOLrMavuUCe(b'(\x90j\xd9\xea\xd3$\xa3{\xa0\xd8R'), chr(5244 - 5144) + chr(7922 - 7821) + chr(0b111001 + 0o52) + chr(0b1010100 + 0o33) + chr(0b1001001 + 0o33) + '\x65')('\x75' + '\164' + '\146' + '\x2d' + '\x38')))
if W8VoATJOxM2T is not None:
E9XP3sJ9rRXA = pVr_c9kGNQpx(epoch=ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + '\060', 8), nbatch=WVxHKyX45z_L, eval_metric=tbbpbfMnen5w, locals=eHmS9durw_Vs())
MKIP9jYdTGA0(W8VoATJOxM2T, E9XP3sJ9rRXA)
return xafqLlk3kkUe(tbbpbfMnen5w, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b\x8dA'), chr(3706 - 3606) + chr(2132 - 2031) + '\143' + chr(0b1100010 + 0o15) + chr(0b1100100) + chr(1734 - 1633))(chr(0b1101001 + 0o14) + chr(5403 - 5287) + chr(102) + chr(0b101101) + chr(1091 - 1035)))()[ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1 + 0o60), 8)]
|
apache/incubator-mxnet
|
python/mxnet/model.py
|
FeedForward.fit
|
def fit(self, X, y=None, eval_data=None, eval_metric='acc',
epoch_end_callback=None, batch_end_callback=None, kvstore='local', logger=None,
work_load_list=None, monitor=None, eval_end_callback=LogValidationMetricsCallback(),
eval_batch_end_callback=None):
"""Fit the model.
Parameters
----------
X : DataIter, or numpy.ndarray/NDArray
Training data. If `X` is a `DataIter`, the name or (if name not available)
the position of its outputs should match the corresponding variable
names defined in the symbolic graph.
y : numpy.ndarray/NDArray, optional
Training set label.
If X is ``numpy.ndarray`` or `NDArray`, `y` is required to be set.
While y can be 1D or 2D (with 2nd dimension as 1), its first dimension must be
the same as `X`, i.e. the number of data points and labels should be equal.
eval_data : DataIter or numpy.ndarray/list/NDArray pair
If eval_data is numpy.ndarray/list/NDArray pair,
it should be ``(valid_data, valid_label)``.
eval_metric : metric.EvalMetric or str or callable
The evaluation metric. This could be the name of evaluation metric
or a custom evaluation function that returns statistics
based on a minibatch.
epoch_end_callback : callable(epoch, symbol, arg_params, aux_states)
A callback that is invoked at end of each epoch.
This can be used to checkpoint model each epoch.
batch_end_callback: callable(epoch)
A callback that is invoked at end of each batch for purposes of printing.
kvstore: KVStore or str, optional
The KVStore or a string kvstore type: 'local', 'dist_sync', 'dist_async'
In default uses 'local', often no need to change for single machiine.
logger : logging logger, optional
When not specified, default logger will be used.
work_load_list : float or int, optional
The list of work load for different devices,
in the same order as `ctx`.
Note
----
KVStore behavior
- 'local', multi-devices on a single machine, will automatically choose best type.
- 'dist_sync', multiple machines communicating via BSP.
- 'dist_async', multiple machines with asynchronous communication.
"""
data = self._init_iter(X, y, is_train=True)
eval_data = self._init_eval_iter(eval_data)
if self.sym_gen:
self.symbol = self.sym_gen(data.default_bucket_key) # pylint: disable=no-member
self._check_arguments()
self.kwargs["sym"] = self.symbol
arg_names, param_names, aux_names = \
self._init_params(data.provide_data+data.provide_label)
# setup metric
if not isinstance(eval_metric, metric.EvalMetric):
eval_metric = metric.create(eval_metric)
# create kvstore
(kvstore, update_on_kvstore) = _create_kvstore(
kvstore, len(self.ctx), self.arg_params)
param_idx2name = {}
if update_on_kvstore:
param_idx2name.update(enumerate(param_names))
else:
for i, n in enumerate(param_names):
for k in range(len(self.ctx)):
param_idx2name[i*len(self.ctx)+k] = n
self.kwargs["param_idx2name"] = param_idx2name
# init optmizer
if isinstance(self.optimizer, str):
batch_size = data.batch_size
if kvstore and 'dist' in kvstore.type and '_async' not in kvstore.type:
batch_size *= kvstore.num_workers
optimizer = opt.create(self.optimizer,
rescale_grad=(1.0/batch_size),
**(self.kwargs))
elif isinstance(self.optimizer, opt.Optimizer):
if not optimizer.idx2name:
optimizer.idx2name = param_idx2name.copy()
optimizer = self.optimizer
# do training
_train_multi_device(self.symbol, self.ctx, arg_names, param_names, aux_names,
self.arg_params, self.aux_params,
begin_epoch=self.begin_epoch, end_epoch=self.num_epoch,
epoch_size=self.epoch_size,
optimizer=optimizer,
train_data=data, eval_data=eval_data,
eval_metric=eval_metric,
epoch_end_callback=epoch_end_callback,
batch_end_callback=batch_end_callback,
kvstore=kvstore, update_on_kvstore=update_on_kvstore,
logger=logger, work_load_list=work_load_list, monitor=monitor,
eval_end_callback=eval_end_callback,
eval_batch_end_callback=eval_batch_end_callback,
sym_gen=self.sym_gen)
|
python
|
def fit(self, X, y=None, eval_data=None, eval_metric='acc',
epoch_end_callback=None, batch_end_callback=None, kvstore='local', logger=None,
work_load_list=None, monitor=None, eval_end_callback=LogValidationMetricsCallback(),
eval_batch_end_callback=None):
"""Fit the model.
Parameters
----------
X : DataIter, or numpy.ndarray/NDArray
Training data. If `X` is a `DataIter`, the name or (if name not available)
the position of its outputs should match the corresponding variable
names defined in the symbolic graph.
y : numpy.ndarray/NDArray, optional
Training set label.
If X is ``numpy.ndarray`` or `NDArray`, `y` is required to be set.
While y can be 1D or 2D (with 2nd dimension as 1), its first dimension must be
the same as `X`, i.e. the number of data points and labels should be equal.
eval_data : DataIter or numpy.ndarray/list/NDArray pair
If eval_data is numpy.ndarray/list/NDArray pair,
it should be ``(valid_data, valid_label)``.
eval_metric : metric.EvalMetric or str or callable
The evaluation metric. This could be the name of evaluation metric
or a custom evaluation function that returns statistics
based on a minibatch.
epoch_end_callback : callable(epoch, symbol, arg_params, aux_states)
A callback that is invoked at end of each epoch.
This can be used to checkpoint model each epoch.
batch_end_callback: callable(epoch)
A callback that is invoked at end of each batch for purposes of printing.
kvstore: KVStore or str, optional
The KVStore or a string kvstore type: 'local', 'dist_sync', 'dist_async'
In default uses 'local', often no need to change for single machiine.
logger : logging logger, optional
When not specified, default logger will be used.
work_load_list : float or int, optional
The list of work load for different devices,
in the same order as `ctx`.
Note
----
KVStore behavior
- 'local', multi-devices on a single machine, will automatically choose best type.
- 'dist_sync', multiple machines communicating via BSP.
- 'dist_async', multiple machines with asynchronous communication.
"""
data = self._init_iter(X, y, is_train=True)
eval_data = self._init_eval_iter(eval_data)
if self.sym_gen:
self.symbol = self.sym_gen(data.default_bucket_key) # pylint: disable=no-member
self._check_arguments()
self.kwargs["sym"] = self.symbol
arg_names, param_names, aux_names = \
self._init_params(data.provide_data+data.provide_label)
# setup metric
if not isinstance(eval_metric, metric.EvalMetric):
eval_metric = metric.create(eval_metric)
# create kvstore
(kvstore, update_on_kvstore) = _create_kvstore(
kvstore, len(self.ctx), self.arg_params)
param_idx2name = {}
if update_on_kvstore:
param_idx2name.update(enumerate(param_names))
else:
for i, n in enumerate(param_names):
for k in range(len(self.ctx)):
param_idx2name[i*len(self.ctx)+k] = n
self.kwargs["param_idx2name"] = param_idx2name
# init optmizer
if isinstance(self.optimizer, str):
batch_size = data.batch_size
if kvstore and 'dist' in kvstore.type and '_async' not in kvstore.type:
batch_size *= kvstore.num_workers
optimizer = opt.create(self.optimizer,
rescale_grad=(1.0/batch_size),
**(self.kwargs))
elif isinstance(self.optimizer, opt.Optimizer):
if not optimizer.idx2name:
optimizer.idx2name = param_idx2name.copy()
optimizer = self.optimizer
# do training
_train_multi_device(self.symbol, self.ctx, arg_names, param_names, aux_names,
self.arg_params, self.aux_params,
begin_epoch=self.begin_epoch, end_epoch=self.num_epoch,
epoch_size=self.epoch_size,
optimizer=optimizer,
train_data=data, eval_data=eval_data,
eval_metric=eval_metric,
epoch_end_callback=epoch_end_callback,
batch_end_callback=batch_end_callback,
kvstore=kvstore, update_on_kvstore=update_on_kvstore,
logger=logger, work_load_list=work_load_list, monitor=monitor,
eval_end_callback=eval_end_callback,
eval_batch_end_callback=eval_batch_end_callback,
sym_gen=self.sym_gen)
|
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Fit the model.
Parameters
----------
X : DataIter, or numpy.ndarray/NDArray
Training data. If `X` is a `DataIter`, the name or (if name not available)
the position of its outputs should match the corresponding variable
names defined in the symbolic graph.
y : numpy.ndarray/NDArray, optional
Training set label.
If X is ``numpy.ndarray`` or `NDArray`, `y` is required to be set.
While y can be 1D or 2D (with 2nd dimension as 1), its first dimension must be
the same as `X`, i.e. the number of data points and labels should be equal.
eval_data : DataIter or numpy.ndarray/list/NDArray pair
If eval_data is numpy.ndarray/list/NDArray pair,
it should be ``(valid_data, valid_label)``.
eval_metric : metric.EvalMetric or str or callable
The evaluation metric. This could be the name of evaluation metric
or a custom evaluation function that returns statistics
based on a minibatch.
epoch_end_callback : callable(epoch, symbol, arg_params, aux_states)
A callback that is invoked at end of each epoch.
This can be used to checkpoint model each epoch.
batch_end_callback: callable(epoch)
A callback that is invoked at end of each batch for purposes of printing.
kvstore: KVStore or str, optional
The KVStore or a string kvstore type: 'local', 'dist_sync', 'dist_async'
In default uses 'local', often no need to change for single machiine.
logger : logging logger, optional
When not specified, default logger will be used.
work_load_list : float or int, optional
The list of work load for different devices,
in the same order as `ctx`.
Note
----
KVStore behavior
- 'local', multi-devices on a single machine, will automatically choose best type.
- 'dist_sync', multiple machines communicating via BSP.
- 'dist_async', multiple machines with asynchronous communication.
|
[
"Fit",
"the",
"model",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/model.py#L804-L905
|
train
|
Fit the model to the symbolic graph.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(1995 - 1945) + chr(1594 - 1546) + chr(608 - 554), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(48) + chr(1533 - 1480), 50965 - 50957), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + '\x32' + chr(50) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100011 + 0o114) + chr(51) + chr(48) + '\x34', 21813 - 21805), ehT0Px3KOsy9(chr(48) + chr(0b101011 + 0o104) + '\x31' + chr(2546 - 2492) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1512 - 1461) + chr(1989 - 1939) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + '\x34' + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\063' + '\065', 20055 - 20047), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1001 + 0o146) + chr(0b110010) + chr(0b110001) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100010 + 0o15) + chr(0b100101 + 0o15) + chr(0b110010) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + chr(4694 - 4583) + '\067' + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\065' + '\x33', 0o10), ehT0Px3KOsy9(chr(1521 - 1473) + chr(2850 - 2739) + '\x32' + chr(0b10 + 0o60) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + chr(587 - 536) + '\x35' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(2176 - 2125) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6549 - 6438) + chr(0b110011) + '\062', 0o10), ehT0Px3KOsy9(chr(233 - 185) + chr(0b1101111) + chr(2085 - 2036) + chr(0b110110) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(418 - 365) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2086 - 2035) + '\x34' + '\x35', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011000 + 0o27) + '\061' + chr(0b111 + 0o57) + '\064', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(0b110001) + chr(0b10011 + 0o35), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2669 - 2558) + chr(0b110001) + '\x35' + '\x33', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b110010) + chr(117 - 65), 58329 - 58321), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + '\062' + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\060' + '\066', 8), ehT0Px3KOsy9(chr(1076 - 1028) + '\x6f' + '\065' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(857 - 809) + chr(5653 - 5542) + chr(0b110001 + 0o0) + chr(927 - 879) + '\x35', 27901 - 27893), ehT0Px3KOsy9('\060' + chr(7199 - 7088) + chr(0b100111 + 0o13) + chr(320 - 265) + chr(2236 - 2185), 23085 - 23077), ehT0Px3KOsy9(chr(48) + chr(10970 - 10859) + chr(0b110011) + chr(0b110101) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b1100 + 0o44) + chr(0b11110 + 0o27), 8), ehT0Px3KOsy9(chr(1039 - 991) + '\157' + chr(1171 - 1121) + '\061' + '\x35', 0o10), ehT0Px3KOsy9(chr(1246 - 1198) + chr(1347 - 1236) + '\x33' + chr(0b110000) + chr(54), 52622 - 52614), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110101) + chr(0b100001 + 0o22), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b10010 + 0o40) + '\063' + '\066', 7135 - 7127), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(51) + chr(1576 - 1527), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + '\x35' + chr(0b110101), 8), ehT0Px3KOsy9(chr(1709 - 1661) + '\x6f' + chr(50) + chr(826 - 775) + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b100110 + 0o15) + chr(0b11011 + 0o32), 39940 - 39932), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(49) + chr(55), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(3373 - 3262) + '\065' + chr(1344 - 1296), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8'), '\144' + chr(0b1100101) + '\x63' + chr(0b1101111) + '\x64' + '\145')('\x75' + chr(0b1110100) + '\146' + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def gggbGMeQaMBR(oVre8I6UXc3b, xEgrFJ0REugl, SqiSOtYOqOJH=None, lFsSHWR5AXWi=None, tbbpbfMnen5w=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xe6\xf5'), chr(0b100011 + 0o101) + '\145' + '\x63' + chr(111) + chr(6269 - 6169) + chr(0b1100101))(chr(0b1110101) + chr(5540 - 5424) + '\x66' + chr(1033 - 988) + chr(0b100101 + 0o23)), Ut1ApSy0hXT6=None, W8VoATJOxM2T=None, Dlwsb3sX_cE9=xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xea\xf5\xa5\x19'), '\144' + chr(8282 - 8181) + chr(0b1111 + 0o124) + chr(0b1101111) + '\144' + chr(5084 - 4983))(chr(0b1110101) + chr(116) + chr(102) + '\x2d' + chr(692 - 636)), hdK8qOUhR6Or=None, kLGo3aUrvaUa=None, W41N9Yh6x71V=None, ISjMN31WssXr=sGeTqDthLsjL(), P04iXL8qvEDL=None):
ULnjp6D6efFH = oVre8I6UXc3b._init_iter(xEgrFJ0REugl, SqiSOtYOqOJH, is_train=ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b100111 + 0o110) + '\x31', 0b1000))
lFsSHWR5AXWi = oVre8I6UXc3b._init_eval_iter(lFsSHWR5AXWi)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\xfc\xfb\x9b\x12\xb2\n'), chr(100) + '\x65' + chr(0b111110 + 0o45) + chr(111) + chr(0b1000111 + 0o35) + chr(0b110111 + 0o56))(chr(2468 - 2351) + chr(3843 - 3727) + chr(5347 - 5245) + '\x2d' + '\x38')):
oVre8I6UXc3b.Usr5ykvL2UZF = oVre8I6UXc3b.sym_gen(ULnjp6D6efFH.default_bucket_key)
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9\xe6\xfe\xa1\x16\xbc;<\xfd\xf2J\xc6\xf7\x86\xe8i'), chr(100) + '\x65' + chr(4553 - 4454) + '\157' + chr(1108 - 1008) + chr(0b11011 + 0o112))(chr(117) + chr(0b10000 + 0o144) + chr(0b1100110) + '\055' + chr(0b111 + 0o61)))()
oVre8I6UXc3b.M8EIoTs2GJXE[xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\xfc\xfb'), chr(2606 - 2506) + chr(101) + '\143' + '\157' + '\144' + '\145')(chr(0b1110101) + chr(0b100010 + 0o122) + '\146' + chr(0b101101) + chr(0b10010 + 0o46))] = oVre8I6UXc3b.Usr5ykvL2UZF
(YjuRZH4bY1wk, FDgTD8rHpSh6, kNWn4vwNYXUk) = oVre8I6UXc3b._init_params(ULnjp6D6efFH.W_4juOjmKyw_ + ULnjp6D6efFH.bl0LbEh3vaI0)
if not PlSM16l2KDPD(tbbpbfMnen5w, xafqLlk3kkUe(UyTbk4dY9zDl, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3\xf3\xf7\xa88\xb2\x10/\xe6\xf6'), chr(3839 - 3739) + '\145' + '\143' + chr(0b1101111) + chr(0b111001 + 0o53) + '\x65')(chr(0b1000000 + 0o65) + chr(116) + chr(0b100101 + 0o101) + chr(0b1001 + 0o44) + chr(1857 - 1801)))):
tbbpbfMnen5w = UyTbk4dY9zDl.zXm8hKpI6bmL(tbbpbfMnen5w)
(Dlwsb3sX_cE9, nvCDOV9Kw0Jr) = ZNmqNxQ78i5a(Dlwsb3sX_cE9, c2A0yzQpDQB3(oVre8I6UXc3b.oM3jLo753XfX), oVre8I6UXc3b.GroVdzCONmWS)
YxIPh6fjv7uG = {}
if nvCDOV9Kw0Jr:
xafqLlk3kkUe(YxIPh6fjv7uG, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc\xf1\xd7\x81\x1c\x99.3\xf6\xa1Z\x9b'), chr(0b1100100) + '\x65' + chr(3584 - 3485) + '\x6f' + '\x64' + '\145')(chr(982 - 865) + '\x74' + '\146' + chr(1119 - 1074) + chr(56)))(YlkZvXL8qwsX(FDgTD8rHpSh6))
else:
for (WVxHKyX45z_L, m1NkCryOw9Bx) in YlkZvXL8qwsX(FDgTD8rHpSh6):
for OolUPRJhRaJd in vQr8gNKaIaWE(c2A0yzQpDQB3(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\xc8\xa5\xae9\xb8Sh\xbc\xcdY\xf3'), chr(6508 - 6408) + '\x65' + '\143' + '\157' + '\x64' + chr(7951 - 7850))(chr(117) + '\164' + '\146' + chr(45) + '\x38')))):
YxIPh6fjv7uG[WVxHKyX45z_L * c2A0yzQpDQB3(oVre8I6UXc3b.oM3jLo753XfX) + OolUPRJhRaJd] = m1NkCryOw9Bx
oVre8I6UXc3b.M8EIoTs2GJXE[xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\xe4\xe4\xa5\x18\x88\r9\xf7\xa7Q\xca\xff\x8d'), '\144' + chr(101) + '\143' + chr(0b1101111) + chr(9223 - 9123) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b1010 + 0o134) + '\x2d' + '\x38')] = YxIPh6fjv7uG
if PlSM16l2KDPD(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xe1\xdd\x8a\x16\x8e6\x12\xed\xc5t\x98'), '\144' + '\145' + chr(5130 - 5031) + '\157' + chr(100) + chr(101))(chr(0b1110101) + chr(0b1001111 + 0o45) + '\x66' + chr(140 - 95) + chr(0b111000))), M8_cKLkHVB2V):
ix9dZyeAmUxY = ULnjp6D6efFH.ix9dZyeAmUxY
if Dlwsb3sX_cE9 and xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xec\xe5\xb0'), chr(0b10001 + 0o123) + chr(9012 - 8911) + '\143' + '\157' + chr(2809 - 2709) + '\x65')(chr(117) + '\x74' + '\x66' + chr(45) + chr(0b100010 + 0o26)) in xafqLlk3kkUe(Dlwsb3sX_cE9, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1\xe8\xc7\xa9\x0c\xb23\x1f\xe2\xc0O\xdd'), chr(100) + '\x65' + chr(6064 - 5965) + '\157' + '\144' + '\145')('\165' + chr(0b1100010 + 0o22) + chr(0b1100100 + 0o2) + chr(1485 - 1440) + chr(2148 - 2092))) and (xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9\xe4\xe5\xbd\x1b\xb4'), '\144' + chr(3234 - 3133) + chr(0b1100011) + chr(111) + chr(0b1 + 0o143) + chr(3578 - 3477))('\165' + '\164' + chr(0b1100110) + chr(45) + '\070') not in xafqLlk3kkUe(Dlwsb3sX_cE9, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1\xe8\xc7\xa9\x0c\xb23\x1f\xe2\xc0O\xdd'), chr(4218 - 4118) + chr(0b111111 + 0o46) + chr(2002 - 1903) + '\157' + '\144' + chr(6012 - 5911))('\165' + chr(11106 - 10990) + '\x66' + chr(45) + '\070'))):
ix9dZyeAmUxY *= Dlwsb3sX_cE9.c1aWEsj_NmYg
XdKNcYRObPK3 = PFDxXM_vbSsA.zXm8hKpI6bmL(oVre8I6UXc3b.XdKNcYRObPK3, rescale_grad=1.0 / ix9dZyeAmUxY, **oVre8I6UXc3b.M8EIoTs2GJXE)
elif PlSM16l2KDPD(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xe1\xdd\x8a\x16\x8e6\x12\xed\xc5t\x98'), chr(0b1100100) + chr(0b1100101) + chr(8779 - 8680) + chr(111) + chr(0b1100100) + chr(675 - 574))(chr(0b10101 + 0o140) + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b111000))), xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\xf5\xe2\xad\x18\xbe\x1e8\xfd'), chr(0b10101 + 0o117) + '\145' + chr(0b1100010 + 0o1) + chr(0b0 + 0o157) + chr(0b1100100) + chr(0b1010111 + 0o16))('\165' + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b111000)))):
if not xafqLlk3kkUe(XdKNcYRObPK3, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xd1\xfb\xf7B\x92&%\xe9\xfdp\x9d'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b1100010 + 0o15) + chr(0b1100100) + chr(101))(chr(0b110011 + 0o102) + chr(0b1110100) + chr(6490 - 6388) + chr(1192 - 1147) + '\070')):
XdKNcYRObPK3.yTm37EBxfhO6 = YxIPh6fjv7uG.igThHS4jwVsa()
XdKNcYRObPK3 = oVre8I6UXc3b.XdKNcYRObPK3
OGyiOiIx7mgi(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\xf6\xe4\xf1\x0c\xbc\x12\x11\xbd\xc0e\xed'), chr(0b1001000 + 0o34) + chr(0b1100101) + '\143' + chr(111) + chr(7693 - 7593) + chr(0b1100101))(chr(0b1100000 + 0o25) + '\164' + chr(0b1100110) + chr(508 - 463) + '\x38')), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\xc8\xa5\xae9\xb8Sh\xbc\xcdY\xf3'), '\x64' + chr(0b11101 + 0o110) + chr(0b1010110 + 0o15) + chr(10185 - 10074) + chr(0b101100 + 0o70) + chr(4229 - 4128))(chr(12994 - 12877) + chr(0b1110100) + chr(0b1100110) + '\055' + '\070')), YjuRZH4bY1wk, FDgTD8rHpSh6, kNWn4vwNYXUk, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"\xc1\xf7\xf9\x92\x11\xad'\x12\xc1\xf8h\xf8"), chr(0b1100100) + chr(101) + chr(0b1000001 + 0o42) + chr(0b1101111) + chr(3263 - 3163) + chr(0b1100101))(chr(0b1110101) + chr(9418 - 9302) + '\x66' + chr(451 - 406) + chr(0b111000))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\xbc\xd1\x92\x0c\x96\x15\x0f\xdb\xc1m\xc3'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\144' + chr(0b1011100 + 0o11))('\x75' + '\164' + chr(102) + chr(45) + chr(2515 - 2459))), begin_epoch=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xe0\xf1\xad\x1b\x88\x01-\xe0\xf6W'), '\x64' + chr(101) + '\x63' + '\157' + chr(0b1100100) + chr(0b11001 + 0o114))('\x75' + chr(3127 - 3011) + chr(6734 - 6632) + chr(45) + chr(0b110110 + 0o2))), end_epoch=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xf0\xfb\x9b\x10\xa7\x0b>\xe7'), chr(0b1100100) + '\x65' + chr(99) + chr(111) + '\x64' + chr(0b1100100 + 0o1))('\x75' + '\x74' + chr(3998 - 3896) + chr(0b101101) + chr(2271 - 2215))), epoch_size=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\xf5\xf9\xa7\x1d\x88\x174\xf5\xf0'), chr(0b1100100) + chr(2052 - 1951) + chr(0b1100011) + '\157' + chr(8619 - 8519) + chr(1515 - 1414))(chr(117) + chr(0b1110100) + '\146' + '\055' + '\070')), optimizer=XdKNcYRObPK3, train_data=ULnjp6D6efFH, eval_data=lFsSHWR5AXWi, eval_metric=tbbpbfMnen5w, epoch_end_callback=Ut1ApSy0hXT6, batch_end_callback=W8VoATJOxM2T, kvstore=Dlwsb3sX_cE9, update_on_kvstore=nvCDOV9Kw0Jr, logger=hdK8qOUhR6Or, work_load_list=kLGo3aUrvaUa, monitor=W41N9Yh6x71V, eval_end_callback=ISjMN31WssXr, eval_batch_end_callback=P04iXL8qvEDL, sym_gen=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\xfc\xfb\x9b\x12\xb2\n'), '\144' + chr(0b1100101) + '\143' + '\x6f' + chr(8150 - 8050) + '\x65')('\165' + chr(549 - 433) + chr(0b1100110) + '\x2d' + '\070')))
|
apache/incubator-mxnet
|
python/mxnet/model.py
|
FeedForward.save
|
def save(self, prefix, epoch=None):
"""Checkpoint the model checkpoint into file.
You can also use `pickle` to do the job if you only work on Python.
The advantage of `load` and `save` (as compared to `pickle`) is that
the resulting file can be loaded from other MXNet language bindings.
One can also directly `load`/`save` from/to cloud storage(S3, HDFS)
Parameters
----------
prefix : str
Prefix of model name.
Notes
-----
- ``prefix-symbol.json`` will be saved for symbol.
- ``prefix-epoch.params`` will be saved for parameters.
"""
if epoch is None:
epoch = self.num_epoch
assert epoch is not None
save_checkpoint(prefix, epoch, self.symbol, self.arg_params, self.aux_params)
|
python
|
def save(self, prefix, epoch=None):
"""Checkpoint the model checkpoint into file.
You can also use `pickle` to do the job if you only work on Python.
The advantage of `load` and `save` (as compared to `pickle`) is that
the resulting file can be loaded from other MXNet language bindings.
One can also directly `load`/`save` from/to cloud storage(S3, HDFS)
Parameters
----------
prefix : str
Prefix of model name.
Notes
-----
- ``prefix-symbol.json`` will be saved for symbol.
- ``prefix-epoch.params`` will be saved for parameters.
"""
if epoch is None:
epoch = self.num_epoch
assert epoch is not None
save_checkpoint(prefix, epoch, self.symbol, self.arg_params, self.aux_params)
|
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"symbol",
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",",
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")"
] |
Checkpoint the model checkpoint into file.
You can also use `pickle` to do the job if you only work on Python.
The advantage of `load` and `save` (as compared to `pickle`) is that
the resulting file can be loaded from other MXNet language bindings.
One can also directly `load`/`save` from/to cloud storage(S3, HDFS)
Parameters
----------
prefix : str
Prefix of model name.
Notes
-----
- ``prefix-symbol.json`` will be saved for symbol.
- ``prefix-epoch.params`` will be saved for parameters.
|
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/model.py#L908-L928
|
train
|
Save the current state of the object into file.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10 + 0o57) + chr(0b110110) + chr(2657 - 2605), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\064', 63130 - 63122), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + '\x36' + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(627 - 575) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110101) + '\x33', 0b1000), ehT0Px3KOsy9(chr(1389 - 1341) + '\157' + '\062' + chr(2003 - 1950) + chr(1361 - 1313), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(6993 - 6882) + chr(1299 - 1250) + chr(0b10110 + 0o36) + chr(0b100100 + 0o22), 7008 - 7000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(440 - 391) + chr(54) + chr(49), 15280 - 15272), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(49) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(5329 - 5218) + chr(2616 - 2561) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(54) + '\x33', 34762 - 34754), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b110111) + chr(0b10110 + 0o41), 1729 - 1721), ehT0Px3KOsy9('\060' + chr(10625 - 10514) + chr(0b110010) + chr(0b100101 + 0o17) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b11101 + 0o23) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1011111 + 0o20) + chr(54) + chr(0b1101 + 0o44), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100110 + 0o111) + chr(0b1110 + 0o43) + chr(50) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x35' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(611 - 561) + '\x34' + chr(48), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(55) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(1045 - 934) + chr(52) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + chr(0b101101 + 0o6) + chr(0b110001), 39660 - 39652), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10 + 0o57) + chr(1573 - 1519) + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(0b1011110 + 0o21) + chr(0b11 + 0o57) + '\x30' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(175 - 127) + chr(6961 - 6850) + chr(50) + chr(0b10010 + 0o44) + chr(52), 40566 - 40558), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(476 - 425) + '\x34', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(85 - 33) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(1380 - 1332) + chr(111) + chr(51) + '\067' + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b10100 + 0o133) + chr(0b0 + 0o63) + '\x32' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(49) + '\x35', 8), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\065' + '\061', 41503 - 41495), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\060' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100100 + 0o15) + chr(0b10111 + 0o31) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(4568 - 4457) + '\x32' + chr(825 - 774) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(0b1001110 + 0o41) + chr(0b110001) + '\062' + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(52) + chr(0b11101 + 0o23), 8), ehT0Px3KOsy9('\060' + '\157' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(1990 - 1942) + chr(111) + chr(493 - 444) + '\062' + chr(0b100001 + 0o25), 53545 - 53537), ehT0Px3KOsy9(chr(48) + chr(9200 - 9089) + chr(49) + '\x34' + chr(0b110101), 29520 - 29512), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100011 + 0o14) + chr(0b101000 + 0o11) + '\065' + chr(0b110101), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(0b110101) + chr(0b110000), 31273 - 31265)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'<'), chr(5969 - 5869) + '\x65' + chr(0b1011 + 0o130) + chr(5050 - 4939) + chr(100) + '\x65')(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(45) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def oqBodScAtZiv(oVre8I6UXc3b, K1Ha0XjJTAE7, LWTVW06OsTjl=None):
if LWTVW06OsTjl is None:
LWTVW06OsTjl = oVre8I6UXc3b.num_epoch
assert LWTVW06OsTjl is not None
igibI87Qc8pR(K1Ha0XjJTAE7, LWTVW06OsTjl, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'G\x07n\x02\xd9@\xde*C\xd8a\xb5'), chr(0b1100100) + chr(0b100001 + 0o104) + chr(99) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(117) + '\164' + '\x66' + chr(45) + chr(0b1011 + 0o55))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'U\x06sa\xc4Q\xeb)?\xe0l\xa0'), chr(100) + chr(101) + chr(0b110101 + 0o56) + '\x6f' + '\x64' + chr(101))('\165' + chr(0b1100110 + 0o16) + '\x66' + '\x2d' + '\x38')), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'bM[a\xd9j\xd94%\xd9i\x9b'), '\x64' + '\x65' + chr(0b1100011) + chr(7169 - 7058) + chr(0b1100100) + '\x65')('\x75' + chr(9306 - 9190) + '\146' + chr(45) + chr(0b111000))))
|
apache/incubator-mxnet
|
python/mxnet/model.py
|
FeedForward.load
|
def load(prefix, epoch, ctx=None, **kwargs):
"""Load model checkpoint from file.
Parameters
----------
prefix : str
Prefix of model name.
epoch : int
epoch number of model we would like to load.
ctx : Context or list of Context, optional
The device context of training and prediction.
kwargs : dict
Other parameters for model, including `num_epoch`, optimizer and `numpy_batch_size`.
Returns
-------
model : FeedForward
The loaded model that can be used for prediction.
Notes
-----
- ``prefix-symbol.json`` will be saved for symbol.
- ``prefix-epoch.params`` will be saved for parameters.
"""
symbol, arg_params, aux_params = load_checkpoint(prefix, epoch)
return FeedForward(symbol, ctx=ctx,
arg_params=arg_params, aux_params=aux_params,
begin_epoch=epoch,
**kwargs)
|
python
|
def load(prefix, epoch, ctx=None, **kwargs):
"""Load model checkpoint from file.
Parameters
----------
prefix : str
Prefix of model name.
epoch : int
epoch number of model we would like to load.
ctx : Context or list of Context, optional
The device context of training and prediction.
kwargs : dict
Other parameters for model, including `num_epoch`, optimizer and `numpy_batch_size`.
Returns
-------
model : FeedForward
The loaded model that can be used for prediction.
Notes
-----
- ``prefix-symbol.json`` will be saved for symbol.
- ``prefix-epoch.params`` will be saved for parameters.
"""
symbol, arg_params, aux_params = load_checkpoint(prefix, epoch)
return FeedForward(symbol, ctx=ctx,
arg_params=arg_params, aux_params=aux_params,
begin_epoch=epoch,
**kwargs)
|
[
"def",
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"(",
"prefix",
",",
"epoch",
",",
"ctx",
"=",
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",",
"*",
"*",
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")",
":",
"symbol",
",",
"arg_params",
",",
"aux_params",
"=",
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"(",
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",",
"epoch",
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"return",
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"(",
"symbol",
",",
"ctx",
"=",
"ctx",
",",
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",",
"aux_params",
"=",
"aux_params",
",",
"begin_epoch",
"=",
"epoch",
",",
"*",
"*",
"kwargs",
")"
] |
Load model checkpoint from file.
Parameters
----------
prefix : str
Prefix of model name.
epoch : int
epoch number of model we would like to load.
ctx : Context or list of Context, optional
The device context of training and prediction.
kwargs : dict
Other parameters for model, including `num_epoch`, optimizer and `numpy_batch_size`.
Returns
-------
model : FeedForward
The loaded model that can be used for prediction.
Notes
-----
- ``prefix-symbol.json`` will be saved for symbol.
- ``prefix-epoch.params`` will be saved for parameters.
|
[
"Load",
"model",
"checkpoint",
"from",
"file",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/model.py#L931-L959
|
train
|
Load a feedforward model checkpoint from 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('\060' + '\157' + chr(0b110111) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\067' + chr(49), 18446 - 18438), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b111101 + 0o62) + chr(0b11100 + 0o30), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10 + 0o60) + chr(0b110011) + chr(656 - 608), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(51) + '\063', 0o10), ehT0Px3KOsy9(chr(1466 - 1418) + '\x6f' + chr(52) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\066' + chr(0b110100), 15986 - 15978), ehT0Px3KOsy9(chr(48) + chr(0b1010001 + 0o36) + '\064' + chr(0b11010 + 0o35), 0o10), ehT0Px3KOsy9(chr(1888 - 1840) + chr(111) + '\x34' + '\x31', 8), ehT0Px3KOsy9(chr(1282 - 1234) + chr(0b1101111) + chr(2145 - 2095) + chr(0b11001 + 0o32) + '\x30', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + '\x33' + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(10797 - 10686) + chr(0b100111 + 0o14) + chr(49) + '\065', 39000 - 38992), ehT0Px3KOsy9(chr(542 - 494) + chr(518 - 407) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(2487 - 2437) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2209 - 2158) + '\060' + '\064', 29192 - 29184), ehT0Px3KOsy9(chr(2250 - 2202) + chr(111) + chr(0b110011) + chr(0b110000) + '\x34', 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(0b11100 + 0o24) + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(4546 - 4435) + chr(0b110010) + '\x31' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4374 - 4263) + chr(0b110011) + chr(0b110101) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(7944 - 7833) + chr(1387 - 1336) + chr(1118 - 1068) + chr(0b11100 + 0o25), 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(913 - 864) + chr(801 - 749) + chr(0b10000 + 0o44), 0o10), ehT0Px3KOsy9(chr(155 - 107) + chr(8502 - 8391) + '\x32' + '\x31' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(179 - 130) + '\067' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(1769 - 1720) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(10956 - 10845) + chr(0b110011) + chr(50) + chr(482 - 431), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(0b10011 + 0o36) + '\x34' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(1452 - 1404) + '\157' + chr(0b110100) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b11000 + 0o35) + '\064', 20017 - 20009), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(1257 - 1206) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(2275 - 2227) + chr(0b1101111) + '\063' + '\x34' + chr(0b10111 + 0o33), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100000 + 0o21) + chr(0b100 + 0o55) + chr(0b110001 + 0o5), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(0b10101 + 0o40), 59723 - 59715), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b101000 + 0o14) + chr(1733 - 1684), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110100) + chr(1896 - 1844), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(656 - 605) + chr(0b1000 + 0o56), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1000100 + 0o53) + chr(547 - 497) + chr(51) + chr(0b100000 + 0o24), 8), ehT0Px3KOsy9(chr(0b110000) + chr(9548 - 9437) + '\x31' + chr(51) + chr(0b0 + 0o63), 32795 - 32787), ehT0Px3KOsy9(chr(754 - 706) + '\x6f' + '\x33' + chr(0b110010) + chr(0b110 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7331 - 7220) + chr(0b110010) + chr(1270 - 1222), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(0b110111), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1001111 + 0o40) + chr(0b110101) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x14'), chr(100) + '\x65' + chr(99) + '\x6f' + '\144' + chr(0b10101 + 0o120))('\165' + chr(13094 - 12978) + chr(0b110110 + 0o60) + chr(1907 - 1862) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def mxtdQMeiwJZJ(K1Ha0XjJTAE7, LWTVW06OsTjl, oM3jLo753XfX=None, **M8EIoTs2GJXE):
(Usr5ykvL2UZF, GroVdzCONmWS, p9GVyAqRTTRh) = nhXjZl9bd8HA(K1Ha0XjJTAE7, LWTVW06OsTjl)
return eCJuq7jQdB6e(Usr5ykvL2UZF, ctx=oM3jLo753XfX, arg_params=GroVdzCONmWS, aux_params=p9GVyAqRTTRh, begin_epoch=LWTVW06OsTjl, **M8EIoTs2GJXE)
|
apache/incubator-mxnet
|
python/mxnet/model.py
|
FeedForward.create
|
def create(symbol, X, y=None, ctx=None,
num_epoch=None, epoch_size=None, optimizer='sgd', initializer=Uniform(0.01),
eval_data=None, eval_metric='acc',
epoch_end_callback=None, batch_end_callback=None,
kvstore='local', logger=None, work_load_list=None,
eval_end_callback=LogValidationMetricsCallback(),
eval_batch_end_callback=None, **kwargs):
"""Functional style to create a model.
This function is more consistent with functional
languages such as R, where mutation is not allowed.
Parameters
----------
symbol : Symbol
The symbol configuration of a computation network.
X : DataIter
Training data.
y : numpy.ndarray, optional
If `X` is a ``numpy.ndarray``, `y` must be set.
ctx : Context or list of Context, optional
The device context of training and prediction.
To use multi-GPU training, pass in a list of GPU contexts.
num_epoch : int, optional
The number of training epochs(epochs).
epoch_size : int, optional
Number of batches in a epoch. In default, it is set to
``ceil(num_train_examples / batch_size)``.
optimizer : str or Optimizer, optional
The name of the chosen optimizer, or an optimizer object, used for training.
initializer : initializer function, optional
The initialization scheme used.
eval_data : DataIter or numpy.ndarray pair
If `eval_set` is ``numpy.ndarray`` pair, it should
be (`valid_data`, `valid_label`).
eval_metric : metric.EvalMetric or str or callable
The evaluation metric. Can be the name of an evaluation metric
or a custom evaluation function that returns statistics
based on a minibatch.
epoch_end_callback : callable(epoch, symbol, arg_params, aux_states)
A callback that is invoked at end of each epoch.
This can be used to checkpoint model each epoch.
batch_end_callback: callable(epoch)
A callback that is invoked at end of each batch for print purposes.
kvstore: KVStore or str, optional
The KVStore or a string kvstore type: 'local', 'dist_sync', 'dis_async'.
Defaults to 'local', often no need to change for single machine.
logger : logging logger, optional
When not specified, default logger will be used.
work_load_list : list of float or int, optional
The list of work load for different devices,
in the same order as `ctx`.
"""
model = FeedForward(symbol, ctx=ctx, num_epoch=num_epoch,
epoch_size=epoch_size,
optimizer=optimizer, initializer=initializer, **kwargs)
model.fit(X, y, eval_data=eval_data, eval_metric=eval_metric,
epoch_end_callback=epoch_end_callback,
batch_end_callback=batch_end_callback,
kvstore=kvstore,
logger=logger,
work_load_list=work_load_list,
eval_end_callback=eval_end_callback,
eval_batch_end_callback=eval_batch_end_callback)
return model
|
python
|
def create(symbol, X, y=None, ctx=None,
num_epoch=None, epoch_size=None, optimizer='sgd', initializer=Uniform(0.01),
eval_data=None, eval_metric='acc',
epoch_end_callback=None, batch_end_callback=None,
kvstore='local', logger=None, work_load_list=None,
eval_end_callback=LogValidationMetricsCallback(),
eval_batch_end_callback=None, **kwargs):
"""Functional style to create a model.
This function is more consistent with functional
languages such as R, where mutation is not allowed.
Parameters
----------
symbol : Symbol
The symbol configuration of a computation network.
X : DataIter
Training data.
y : numpy.ndarray, optional
If `X` is a ``numpy.ndarray``, `y` must be set.
ctx : Context or list of Context, optional
The device context of training and prediction.
To use multi-GPU training, pass in a list of GPU contexts.
num_epoch : int, optional
The number of training epochs(epochs).
epoch_size : int, optional
Number of batches in a epoch. In default, it is set to
``ceil(num_train_examples / batch_size)``.
optimizer : str or Optimizer, optional
The name of the chosen optimizer, or an optimizer object, used for training.
initializer : initializer function, optional
The initialization scheme used.
eval_data : DataIter or numpy.ndarray pair
If `eval_set` is ``numpy.ndarray`` pair, it should
be (`valid_data`, `valid_label`).
eval_metric : metric.EvalMetric or str or callable
The evaluation metric. Can be the name of an evaluation metric
or a custom evaluation function that returns statistics
based on a minibatch.
epoch_end_callback : callable(epoch, symbol, arg_params, aux_states)
A callback that is invoked at end of each epoch.
This can be used to checkpoint model each epoch.
batch_end_callback: callable(epoch)
A callback that is invoked at end of each batch for print purposes.
kvstore: KVStore or str, optional
The KVStore or a string kvstore type: 'local', 'dist_sync', 'dis_async'.
Defaults to 'local', often no need to change for single machine.
logger : logging logger, optional
When not specified, default logger will be used.
work_load_list : list of float or int, optional
The list of work load for different devices,
in the same order as `ctx`.
"""
model = FeedForward(symbol, ctx=ctx, num_epoch=num_epoch,
epoch_size=epoch_size,
optimizer=optimizer, initializer=initializer, **kwargs)
model.fit(X, y, eval_data=eval_data, eval_metric=eval_metric,
epoch_end_callback=epoch_end_callback,
batch_end_callback=batch_end_callback,
kvstore=kvstore,
logger=logger,
work_load_list=work_load_list,
eval_end_callback=eval_end_callback,
eval_batch_end_callback=eval_batch_end_callback)
return model
|
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] |
Functional style to create a model.
This function is more consistent with functional
languages such as R, where mutation is not allowed.
Parameters
----------
symbol : Symbol
The symbol configuration of a computation network.
X : DataIter
Training data.
y : numpy.ndarray, optional
If `X` is a ``numpy.ndarray``, `y` must be set.
ctx : Context or list of Context, optional
The device context of training and prediction.
To use multi-GPU training, pass in a list of GPU contexts.
num_epoch : int, optional
The number of training epochs(epochs).
epoch_size : int, optional
Number of batches in a epoch. In default, it is set to
``ceil(num_train_examples / batch_size)``.
optimizer : str or Optimizer, optional
The name of the chosen optimizer, or an optimizer object, used for training.
initializer : initializer function, optional
The initialization scheme used.
eval_data : DataIter or numpy.ndarray pair
If `eval_set` is ``numpy.ndarray`` pair, it should
be (`valid_data`, `valid_label`).
eval_metric : metric.EvalMetric or str or callable
The evaluation metric. Can be the name of an evaluation metric
or a custom evaluation function that returns statistics
based on a minibatch.
epoch_end_callback : callable(epoch, symbol, arg_params, aux_states)
A callback that is invoked at end of each epoch.
This can be used to checkpoint model each epoch.
batch_end_callback: callable(epoch)
A callback that is invoked at end of each batch for print purposes.
kvstore: KVStore or str, optional
The KVStore or a string kvstore type: 'local', 'dist_sync', 'dis_async'.
Defaults to 'local', often no need to change for single machine.
logger : logging logger, optional
When not specified, default logger will be used.
work_load_list : list of float or int, optional
The list of work load for different devices,
in the same order as `ctx`.
|
[
"Functional",
"style",
"to",
"create",
"a",
"model",
".",
"This",
"function",
"is",
"more",
"consistent",
"with",
"functional",
"languages",
"such",
"as",
"R",
"where",
"mutation",
"is",
"not",
"allowed",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/model.py#L962-L1025
|
train
|
Functional style to create a new model for a given symbol.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(4105 - 3994) + chr(485 - 435) + '\067' + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(324 - 270) + chr(0b101010 + 0o11), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1243 - 1193) + chr(239 - 186) + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(840 - 792) + '\x6f' + chr(0b110011) + '\x30' + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + '\061' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101010 + 0o5) + '\x33' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + '\064' + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(0b100110 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(2159 - 2111) + chr(111) + chr(0b100100 + 0o17) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1960 - 1912) + '\x6f' + '\062' + '\062' + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10010 + 0o37) + '\060' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1111 + 0o42) + '\x31' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(51) + chr(0b10000 + 0o46), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(9860 - 9749) + chr(85 - 32) + chr(50), 20782 - 20774), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11011 + 0o27) + chr(539 - 484) + '\x34', 26989 - 26981), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1111 + 0o44) + chr(0b110110) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(1812 - 1764) + chr(0b1101111) + chr(0b110010) + chr(0b110101) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\064' + '\x34', 52291 - 52283), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2087 - 2038) + chr(0b110011), 46736 - 46728), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + '\061' + chr(485 - 437) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\063' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + '\063' + chr(0b100000 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(79 - 31) + '\x6f' + '\063' + chr(1812 - 1761), 38542 - 38534), ehT0Px3KOsy9(chr(48) + chr(8693 - 8582) + '\063' + '\x33' + chr(0b10010 + 0o37), 12014 - 12006), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\064' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + '\064', 6578 - 6570), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\x30' + chr(55), 0b1000), ehT0Px3KOsy9(chr(1361 - 1313) + chr(5188 - 5077) + '\063' + '\060' + chr(1071 - 1017), 20271 - 20263), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(1849 - 1800) + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(48), 0b1000), ehT0Px3KOsy9(chr(1401 - 1353) + chr(111) + chr(55) + '\x35', 8524 - 8516), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(0b110011), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b10 + 0o63) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(10466 - 10355) + chr(49) + chr(0b110101) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(832 - 784) + chr(0b1010111 + 0o30) + chr(49) + chr(2588 - 2534) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10101 + 0o132) + chr(0b110011) + chr(52) + chr(388 - 336), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(1032 - 982) + chr(49) + chr(0b11010 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10928 - 10817) + '\062' + chr(1839 - 1790) + chr(0b110101), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + '\065' + chr(800 - 752), 37135 - 37127)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x95'), '\144' + chr(101) + '\143' + '\157' + chr(0b1100100) + '\145')(chr(117) + chr(0b10111 + 0o135) + chr(0b1100110) + chr(45) + chr(856 - 800)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def zXm8hKpI6bmL(Usr5ykvL2UZF, xEgrFJ0REugl, SqiSOtYOqOJH=None, oM3jLo753XfX=None, FFScKvII7NXg=None, HvqNT9KgojM6=None, XdKNcYRObPK3=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8\x14\xcc'), '\144' + chr(4061 - 3960) + '\x63' + chr(2470 - 2359) + chr(100) + '\x65')(chr(0b1110101) + chr(5740 - 5624) + chr(0b1011101 + 0o11) + '\x2d' + chr(56)), kwfuYzkY5C57=IZ_mZejMUBkq(0.01), lFsSHWR5AXWi=None, tbbpbfMnen5w=xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\x10\xcb'), '\144' + '\145' + chr(0b1100011) + chr(0b1101111) + chr(187 - 87) + '\145')(chr(0b10001 + 0o144) + '\x74' + '\x66' + chr(0b101100 + 0o1) + chr(1280 - 1224)), Ut1ApSy0hXT6=None, W8VoATJOxM2T=None, Dlwsb3sX_cE9=xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7\x1c\xcbs\xa8'), chr(1211 - 1111) + '\x65' + '\x63' + '\x6f' + '\144' + chr(2120 - 2019))(chr(5058 - 4941) + chr(118 - 2) + '\146' + '\055' + chr(0b10101 + 0o43)), hdK8qOUhR6Or=None, kLGo3aUrvaUa=None, ISjMN31WssXr=sGeTqDthLsjL(), P04iXL8qvEDL=None, **M8EIoTs2GJXE):
FK0vqzZ5gPN6 = eCJuq7jQdB6e(Usr5ykvL2UZF, ctx=oM3jLo753XfX, num_epoch=FFScKvII7NXg, epoch_size=HvqNT9KgojM6, optimizer=XdKNcYRObPK3, initializer=kwfuYzkY5C57, **M8EIoTs2GJXE)
xafqLlk3kkUe(FK0vqzZ5gPN6, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\x1a\xdc'), '\x64' + chr(0b1100101) + chr(5134 - 5035) + chr(111) + chr(649 - 549) + chr(4494 - 4393))(chr(0b1001001 + 0o54) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(56)))(xEgrFJ0REugl, SqiSOtYOqOJH, eval_data=lFsSHWR5AXWi, eval_metric=tbbpbfMnen5w, epoch_end_callback=Ut1ApSy0hXT6, batch_end_callback=W8VoATJOxM2T, kvstore=Dlwsb3sX_cE9, logger=hdK8qOUhR6Or, work_load_list=kLGo3aUrvaUa, eval_end_callback=ISjMN31WssXr, eval_batch_end_callback=P04iXL8qvEDL)
return FK0vqzZ5gPN6
|
apache/incubator-mxnet
|
ci/docker_cache.py
|
build_save_containers
|
def build_save_containers(platforms, registry, load_cache) -> int:
"""
Entry point to build and upload all built dockerimages in parallel
:param platforms: List of platforms
:param registry: Docker registry name
:param load_cache: Load cache before building
:return: 1 if error occurred, 0 otherwise
"""
from joblib import Parallel, delayed
if len(platforms) == 0:
return 0
platform_results = Parallel(n_jobs=PARALLEL_BUILDS, backend="multiprocessing")(
delayed(_build_save_container)(platform, registry, load_cache)
for platform in platforms)
is_error = False
for platform_result in platform_results:
if platform_result is not None:
logging.error('Failed to generate %s', platform_result)
is_error = True
return 1 if is_error else 0
|
python
|
def build_save_containers(platforms, registry, load_cache) -> int:
"""
Entry point to build and upload all built dockerimages in parallel
:param platforms: List of platforms
:param registry: Docker registry name
:param load_cache: Load cache before building
:return: 1 if error occurred, 0 otherwise
"""
from joblib import Parallel, delayed
if len(platforms) == 0:
return 0
platform_results = Parallel(n_jobs=PARALLEL_BUILDS, backend="multiprocessing")(
delayed(_build_save_container)(platform, registry, load_cache)
for platform in platforms)
is_error = False
for platform_result in platform_results:
if platform_result is not None:
logging.error('Failed to generate %s', platform_result)
is_error = True
return 1 if is_error else 0
|
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] |
Entry point to build and upload all built dockerimages in parallel
:param platforms: List of platforms
:param registry: Docker registry name
:param load_cache: Load cache before building
:return: 1 if error occurred, 0 otherwise
|
[
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/ci/docker_cache.py#L44-L66
|
train
|
Build and upload all built dockerimages in parallel
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(48) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + '\061' + '\066' + '\067', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(55) + chr(0b101111 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(2055 - 2003) + chr(2649 - 2595), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + '\062' + chr(1392 - 1338), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b110000) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(2170 - 2122) + chr(111) + chr(0b110001) + chr(363 - 313) + chr(445 - 395), ord("\x08")), ehT0Px3KOsy9(chr(1764 - 1716) + '\157' + chr(0b110011) + '\x34' + chr(48), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b110110) + '\x35', 22260 - 22252), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101100 + 0o3) + chr(0b101 + 0o56) + chr(50) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(1819 - 1770) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\x31' + '\x32', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(1173 - 1120) + chr(0b110010), 19816 - 19808), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(0b110111) + chr(0b110011), 25603 - 25595), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(0b101 + 0o56) + chr(0b110001) + chr(1177 - 1125), 41647 - 41639), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + chr(0b11010 + 0o125) + chr(52) + chr(0b0 + 0o67), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1619 - 1566) + chr(0b1011 + 0o54), 0b1000), ehT0Px3KOsy9('\x30' + chr(4626 - 4515) + chr(0b10000 + 0o43) + chr(0b110111) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\x34' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(1873 - 1819) + chr(54), 52785 - 52777), ehT0Px3KOsy9(chr(1979 - 1931) + '\x6f' + '\062' + '\x35' + chr(53), 0b1000), ehT0Px3KOsy9(chr(1816 - 1768) + '\157' + '\x31' + chr(2152 - 2102) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000 + 0o147) + chr(0b11 + 0o64) + chr(0b11001 + 0o31), 8), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(0b110100) + chr(427 - 379), 0b1000), ehT0Px3KOsy9(chr(1863 - 1815) + chr(0b1101111) + chr(0b111 + 0o54) + chr(0b101011 + 0o11) + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + chr(3202 - 3091) + '\x33' + chr(1980 - 1930) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(54) + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + '\067' + chr(0b100011 + 0o24), 0b1000), ehT0Px3KOsy9(chr(673 - 625) + '\157' + chr(1443 - 1392) + '\063', 62435 - 62427), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1000001 + 0o56) + chr(0b11110 + 0o25) + chr(1118 - 1063) + chr(48), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10001 + 0o40) + '\x36' + '\x37', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(868 - 814) + '\065', 0o10), ehT0Px3KOsy9(chr(857 - 809) + chr(111) + '\063' + chr(0b110100) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(0b11010 + 0o125) + '\x33' + '\x33' + chr(48), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10011 + 0o36) + chr(0b1001 + 0o53) + chr(1341 - 1287), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + '\x33' + chr(920 - 867), 42350 - 42342), ehT0Px3KOsy9('\x30' + '\157' + chr(2377 - 2327) + chr(551 - 497) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(0b100101 + 0o15) + '\x37', 0o10), ehT0Px3KOsy9(chr(681 - 633) + '\157' + chr(49) + chr(54) + chr(975 - 922), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\065' + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xee'), chr(0b1100100) + chr(101) + chr(0b1100011) + '\x6f' + chr(7915 - 7815) + chr(101))(chr(0b11 + 0o162) + chr(0b1110100 + 0o0) + '\146' + chr(45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def JUm6Th8ZSUSd(a_0gwQv7GRa0, U24OBsRcVqkJ, LSBAS7vbic3C) -> ehT0Px3KOsy9:
(CcyzowtNHWiA, z7XZP5iudNCv) = (xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa\x18X\n?\xe0'), '\x64' + '\145' + chr(99) + chr(0b1101111) + '\x64' + '\x65')('\165' + chr(10034 - 9918) + chr(0b1100110) + chr(0b101010 + 0o3) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x16H\x07:\xee7\x8c'), chr(0b1100100) + chr(0b10011 + 0o122) + chr(0b1100011) + '\157' + chr(0b11101 + 0o107) + '\145')(chr(967 - 850) + '\164' + '\146' + chr(0b1011 + 0o42) + chr(0b1111 + 0o51))), xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x16H\x07:\xee7\x8c'), '\144' + chr(0b100111 + 0o76) + '\x63' + chr(9914 - 9803) + chr(2393 - 2293) + chr(3910 - 3809))(chr(0b101 + 0o160) + '\x74' + chr(102) + chr(0b101101) + '\070')), xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa\x18X\n?\xe0'), '\144' + chr(0b1100101) + chr(0b110101 + 0o56) + chr(0b1101111) + '\x64' + chr(0b111001 + 0o54))(chr(10076 - 9959) + '\x74' + '\146' + '\055' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4\x12V\x07/\xe76'), chr(0b1101 + 0o127) + chr(128 - 27) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(0b110001 + 0o64))('\165' + '\x74' + '\x66' + chr(1582 - 1537) + chr(0b111000))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4\x12V\x07/\xe76'), chr(985 - 885) + chr(0b11101 + 0o110) + '\143' + '\157' + '\x64' + chr(0b1011111 + 0o6))(chr(753 - 636) + chr(9640 - 9524) + chr(7604 - 7502) + chr(956 - 911) + '\x38')))
if c2A0yzQpDQB3(a_0gwQv7GRa0) == ehT0Px3KOsy9('\060' + '\157' + chr(0b101110 + 0o2), ord("\x08")):
return ehT0Px3KOsy9('\060' + chr(111) + chr(0b110000), 8)
SmgyqaNbiCrS = CcyzowtNHWiA(n_jobs=NyC7IMqkhg2f, backend=xafqLlk3kkUe(SXOLrMavuUCe(b'\xad\x02V\x12?\xf2 \x8f\x96\xb1\xfd\xf9CU\xab'), '\144' + chr(0b1100101) + chr(1660 - 1561) + chr(5739 - 5628) + '\x64' + chr(101))('\x75' + '\164' + chr(0b1100110) + '\x2d' + chr(56)))((z7XZP5iudNCv(N3X1JpmSS_pv)(XFsm7h4U2YVm, U24OBsRcVqkJ, LSBAS7vbic3C) for XFsm7h4U2YVm in a_0gwQv7GRa0))
pNdmL2tHnPxa = ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110000), 8)
for qOhV83cHU6CM in SmgyqaNbiCrS:
if qOhV83cHU6CM is not None:
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x85"^67\xf6\x1d\xb3\xc4\xa3\xf6\xba'), '\144' + '\x65' + chr(99) + chr(0b1101111) + chr(100) + chr(0b1100101))('\165' + chr(4159 - 4043) + chr(0b101010 + 0o74) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x86\x16S\n3\xe6r\x94\x9a\xf4\xe9\xefD^\xbeySJ\xd8F\x85'), '\x64' + chr(101) + chr(0b1100011) + '\x6f' + chr(5444 - 5344) + chr(7354 - 7253))('\x75' + chr(0b1011 + 0o151) + chr(6914 - 6812) + chr(0b10000 + 0o35) + chr(0b100000 + 0o30)), qOhV83cHU6CM)
pNdmL2tHnPxa = ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001), ord("\x08"))
return ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(0b11100 + 0o25), 8) if pNdmL2tHnPxa else ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x30', 8)
|
apache/incubator-mxnet
|
ci/docker_cache.py
|
_build_save_container
|
def _build_save_container(platform, registry, load_cache) -> Optional[str]:
"""
Build image for passed platform and upload the cache to the specified S3 bucket
:param platform: Platform
:param registry: Docker registry name
:param load_cache: Load cache before building
:return: Platform if failed, None otherwise
"""
docker_tag = build_util.get_docker_tag(platform=platform, registry=registry)
# Preload cache
if load_cache:
load_docker_cache(registry=registry, docker_tag=docker_tag)
# Start building
logging.debug('Building %s as %s', platform, docker_tag)
try:
# Increase the number of retries for building the cache.
image_id = build_util.build_docker(docker_binary='docker', platform=platform, registry=registry, num_retries=10, no_cache=False)
logging.info('Built %s as %s', docker_tag, image_id)
# Push cache to registry
_upload_image(registry=registry, docker_tag=docker_tag, image_id=image_id)
return None
except Exception:
logging.exception('Unexpected exception during build of %s', docker_tag)
return platform
|
python
|
def _build_save_container(platform, registry, load_cache) -> Optional[str]:
"""
Build image for passed platform and upload the cache to the specified S3 bucket
:param platform: Platform
:param registry: Docker registry name
:param load_cache: Load cache before building
:return: Platform if failed, None otherwise
"""
docker_tag = build_util.get_docker_tag(platform=platform, registry=registry)
# Preload cache
if load_cache:
load_docker_cache(registry=registry, docker_tag=docker_tag)
# Start building
logging.debug('Building %s as %s', platform, docker_tag)
try:
# Increase the number of retries for building the cache.
image_id = build_util.build_docker(docker_binary='docker', platform=platform, registry=registry, num_retries=10, no_cache=False)
logging.info('Built %s as %s', docker_tag, image_id)
# Push cache to registry
_upload_image(registry=registry, docker_tag=docker_tag, image_id=image_id)
return None
except Exception:
logging.exception('Unexpected exception during build of %s', docker_tag)
return platform
|
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] |
Build image for passed platform and upload the cache to the specified S3 bucket
:param platform: Platform
:param registry: Docker registry name
:param load_cache: Load cache before building
:return: Platform if failed, None otherwise
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/ci/docker_cache.py#L69-L95
|
train
|
Build image for passed platform and upload the cache to S3 bucket
|
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' + '\x33' + chr(48) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1001011 + 0o44) + chr(0b110001) + chr(0b100111 + 0o17) + '\x30', 63963 - 63955), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11011 + 0o27) + chr(0b110110) + '\x33', 24002 - 23994), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(49) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7327 - 7216) + chr(0b1111 + 0o42) + '\x31' + chr(838 - 787), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2559 - 2448) + '\x31' + chr(1268 - 1220) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(48) + '\062', 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(10130 - 10019) + chr(0b110010) + chr(131 - 79) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(700 - 646), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(0b100101 + 0o17) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1103 - 1053) + chr(1708 - 1659) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + chr(1963 - 1913) + '\x37' + chr(1925 - 1875), 9646 - 9638), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101001 + 0o6) + chr(0b110001) + chr(0b101000 + 0o14) + '\x31', 42876 - 42868), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(700 - 648) + chr(0b10101 + 0o42), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(2046 - 1996) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(5587 - 5476) + '\x31' + chr(2885 - 2831) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + '\x32' + '\x31' + chr(2381 - 2331), 63598 - 63590), ehT0Px3KOsy9(chr(1252 - 1204) + '\157' + chr(0b110011) + chr(50) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(2951 - 2840) + chr(0b110111) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9894 - 9783) + chr(51) + chr(1986 - 1934) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + '\x31' + chr(0b110100), 2748 - 2740), ehT0Px3KOsy9(chr(1227 - 1179) + '\157' + chr(88 - 34) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(11521 - 11410) + chr(280 - 230) + chr(55) + chr(51), 14836 - 14828), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(50) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(50) + chr(0b1101 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2118 - 2068) + '\065' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(1341 - 1230) + '\063' + '\061' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + chr(1852 - 1802) + chr(54) + chr(0b110 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\065' + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(55) + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b100 + 0o57) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(0b101100 + 0o4) + chr(0b1011 + 0o52), 54569 - 54561), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\x32', 0b1000), ehT0Px3KOsy9(chr(1436 - 1388) + chr(0b100111 + 0o110) + chr(0b110001) + chr(50) + '\066', 61890 - 61882), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b111 + 0o52) + chr(0b100010 + 0o24) + chr(0b1111 + 0o45), 7038 - 7030), ehT0Px3KOsy9(chr(1011 - 963) + chr(0b1101111) + '\x35' + chr(2567 - 2516), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + '\x34' + chr(0b110001), 10150 - 10142), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + chr(52) + chr(1534 - 1486), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(8885 - 8774) + chr(1639 - 1588) + chr(477 - 428) + chr(0b1001 + 0o54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10670 - 10559) + chr(49) + '\065' + '\x34', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(53) + chr(0b110000), 29705 - 29697)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xef'), chr(100) + chr(0b101000 + 0o75) + chr(99) + '\157' + chr(0b1100100) + chr(0b1100101))('\165' + '\x74' + chr(0b1001111 + 0o27) + '\x2d' + chr(0b110110 + 0o2)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def N3X1JpmSS_pv(XFsm7h4U2YVm, U24OBsRcVqkJ, LSBAS7vbic3C) -> vi1g1wPnZvlE[M8_cKLkHVB2V]:
oTPBIOtMlvIi = MHbgZYln1ZLj.get_docker_tag(platform=XFsm7h4U2YVm, registry=U24OBsRcVqkJ)
if LSBAS7vbic3C:
G52xGcWGbhTg(registry=U24OBsRcVqkJ, docker_tag=oTPBIOtMlvIi)
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5\x15\xd1\xbe,'), '\x64' + chr(0b1011011 + 0o12) + chr(4445 - 4346) + chr(111) + chr(0b11001 + 0o113) + chr(0b1011010 + 0o13))(chr(1947 - 1830) + chr(5227 - 5111) + chr(102) + chr(0b101100 + 0o1) + chr(1956 - 1900)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x05\xda\xa7/.\xec\xc0&\x80\xfc\x9a\x00\x14\xb3V\xf9'), '\144' + '\x65' + chr(0b1010010 + 0o21) + chr(111) + chr(100) + '\x65')('\165' + chr(782 - 666) + chr(0b10110 + 0o120) + '\055' + chr(0b111000)), XFsm7h4U2YVm, oTPBIOtMlvIi)
try:
ni4Ki6nS9CjS = MHbgZYln1ZLj.build_docker(docker_binary=xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5\x1f\xd0\xa0.5'), chr(0b1100100) + '\x65' + '\143' + '\157' + chr(100) + '\145')(chr(0b1110101) + chr(7162 - 7046) + '\146' + '\x2d' + '\070'), platform=XFsm7h4U2YVm, registry=U24OBsRcVqkJ, num_retries=ehT0Px3KOsy9(chr(48) + chr(0b1010101 + 0o32) + chr(556 - 507) + chr(0b110010), ord("\x08")), no_cache=ehT0Px3KOsy9('\060' + chr(0b1011111 + 0o20) + '\060', 0o10))
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x92G\xfb\xb3>$\xe5\x90l\xc9\xd5\xd1'), '\x64' + chr(4668 - 4567) + chr(99) + '\x6f' + chr(0b1100100) + '\x65')(chr(117) + chr(0b1110100) + chr(0b1101 + 0o131) + '\x2d' + chr(1182 - 1126)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x05\xda\xa7?g\xa7\xd4&\xc4\xfc\x9aD\x14'), chr(4893 - 4793) + chr(0b1100101) + chr(0b1100011) + chr(2896 - 2785) + chr(5039 - 4939) + '\145')(chr(0b1110101) + chr(0b1110100) + '\146' + '\055' + chr(0b111000)), oTPBIOtMlvIi, ni4Ki6nS9CjS)
SMWBCPIMpKSQ(registry=U24OBsRcVqkJ, docker_tag=oTPBIOtMlvIi, image_id=ni4Ki6nS9CjS)
return None
except jLmadlzMdunT:
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4\x08\xd0\xae;3\xeb\xc8h'), '\144' + '\145' + chr(8709 - 8610) + chr(111) + chr(5433 - 5333) + chr(2363 - 2262))('\x75' + chr(0b1110100) + chr(3557 - 3455) + '\x2d' + chr(0b11011 + 0o35)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x94\x1e\xd6\xb3;"\xe1\xd3c\xc1\xaf\xdf\x19\x04\xf6\x03\xfe\xb8W\x8flQ\xce\xe0y\xc5\xae\x95\x0eO\xb3)vv\x1bM\x81\x05\xbe'), '\x64' + chr(101) + chr(0b1100011) + chr(0b1100 + 0o143) + '\x64' + '\x65')('\x75' + chr(0b110 + 0o156) + chr(371 - 269) + '\055' + chr(0b111000)), oTPBIOtMlvIi)
return XFsm7h4U2YVm
|
apache/incubator-mxnet
|
ci/docker_cache.py
|
_upload_image
|
def _upload_image(registry, docker_tag, image_id) -> None:
"""
Upload the passed image by id, tag it with docker tag and upload to S3 bucket
:param registry: Docker registry name
:param docker_tag: Docker tag
:param image_id: Image id
:return: None
"""
# We don't have to retag the image since it is already in the right format
logging.info('Uploading %s (%s) to %s', docker_tag, image_id, registry)
push_cmd = ['docker', 'push', docker_tag]
subprocess.check_call(push_cmd)
|
python
|
def _upload_image(registry, docker_tag, image_id) -> None:
"""
Upload the passed image by id, tag it with docker tag and upload to S3 bucket
:param registry: Docker registry name
:param docker_tag: Docker tag
:param image_id: Image id
:return: None
"""
# We don't have to retag the image since it is already in the right format
logging.info('Uploading %s (%s) to %s', docker_tag, image_id, registry)
push_cmd = ['docker', 'push', docker_tag]
subprocess.check_call(push_cmd)
|
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] |
Upload the passed image by id, tag it with docker tag and upload to S3 bucket
:param registry: Docker registry name
:param docker_tag: Docker tag
:param image_id: Image id
:return: None
|
[
"Upload",
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/ci/docker_cache.py#L100-L111
|
train
|
Upload the image to S3 bucket and push it to S3 bucket
|
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(0b101100 + 0o103) + chr(0b110010) + chr(1485 - 1433) + chr(0b100000 + 0o21), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(50), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(54) + chr(0b11101 + 0o25), 0b1000), ehT0Px3KOsy9('\x30' + chr(4575 - 4464) + chr(55) + '\x36', 10263 - 10255), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(0b10011 + 0o41) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x34' + chr(0b100101 + 0o13), ord("\x08")), ehT0Px3KOsy9('\060' + chr(2053 - 1942) + '\062' + chr(0b110001) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(1760 - 1712) + '\157' + chr(1300 - 1247) + chr(0b101011 + 0o11), 2106 - 2098), ehT0Px3KOsy9('\x30' + chr(4802 - 4691) + '\063' + '\x30' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + chr(0b1010 + 0o50) + chr(0b1 + 0o64) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101101 + 0o2) + chr(50) + chr(54) + chr(1145 - 1090), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(0b110 + 0o52) + chr(0b10111 + 0o35), 4129 - 4121), ehT0Px3KOsy9(chr(0b110000) + chr(7173 - 7062) + chr(49) + '\060' + chr(0b110100), 8), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(0b110110), 60749 - 60741), ehT0Px3KOsy9(chr(887 - 839) + chr(0b1101111) + chr(2085 - 2036) + '\060' + '\067', 0b1000), ehT0Px3KOsy9(chr(2213 - 2165) + chr(0b110010 + 0o75) + chr(0b110001) + chr(0b110100) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b100110 + 0o16) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101010 + 0o10) + chr(0b10000 + 0o41) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11100 + 0o123) + '\067' + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110001 + 0o76) + '\x31' + '\062' + '\x33', 221 - 213), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101) + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + '\063', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(55) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(1417 - 1368), 0b1000), ehT0Px3KOsy9('\060' + chr(8498 - 8387) + '\x33' + '\063' + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11101 + 0o25) + chr(0b110011) + chr(1449 - 1395), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100 + 0o143) + chr(804 - 755) + '\062' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\x33' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1010000 + 0o37) + chr(2355 - 2303) + chr(49), 52456 - 52448), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1011010 + 0o25) + '\x31' + chr(0b110010) + chr(0b110011 + 0o3), 8), ehT0Px3KOsy9(chr(1570 - 1522) + chr(8298 - 8187) + chr(468 - 417) + chr(1114 - 1062) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1011001 + 0o26) + chr(0b110010) + '\065' + chr(0b11001 + 0o34), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b101001 + 0o15) + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + '\x31' + '\064', 14702 - 14694), ehT0Px3KOsy9(chr(48) + chr(3279 - 3168) + '\x36' + chr(50), 15503 - 15495), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(51) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(50) + chr(0b1011 + 0o47), 8), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + chr(1177 - 1128) + '\063' + '\066', 53929 - 53921), ehT0Px3KOsy9(chr(1791 - 1743) + chr(0b1101111) + chr(0b110011) + chr(0b110101) + chr(52), 27584 - 27576)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + '\065' + '\060', 168 - 160)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f'), '\x64' + chr(0b1100101) + chr(5750 - 5651) + chr(0b1101111) + chr(0b1100100) + '\x65')('\x75' + chr(116) + '\x66' + chr(0b100001 + 0o14) + chr(0b10101 + 0o43)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def SMWBCPIMpKSQ(U24OBsRcVqkJ, oTPBIOtMlvIi, ni4Ki6nS9CjS) -> None:
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2%\xfaF\x13C\xec\x1b\xaf\xc2R\xdc'), chr(100) + chr(0b1100101) + chr(99) + '\x6f' + chr(0b0 + 0o144) + '\x65')(chr(0b1000110 + 0o57) + chr(116) + chr(0b1100100 + 0o2) + '\055' + chr(0b100001 + 0o27)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4b\xdeQ\x07D\xe2B\xa2\x8e-\xc4dl;4HB\xfdRs\x08h'), '\144' + '\x65' + '\143' + chr(0b1101111) + chr(2717 - 2617) + chr(101))(chr(0b1110101) + chr(6844 - 6728) + chr(0b110 + 0o140) + chr(1440 - 1395) + chr(0b110 + 0o62)), oTPBIOtMlvIi, ni4Ki6nS9CjS, U24OBsRcVqkJ)
MPl2jtJhzz9D = [xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5}\xd1U\x03R'), chr(1456 - 1356) + '\145' + chr(99) + chr(111) + chr(100) + '\145')('\165' + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1g\xc1V'), chr(2671 - 2571) + chr(0b1100101) + chr(0b1100011) + chr(0b1 + 0o156) + '\144' + chr(0b1100101))(chr(0b1100100 + 0o21) + '\164' + chr(102) + chr(0b1011 + 0o42) + chr(0b111000)), oTPBIOtMlvIi]
xafqLlk3kkUe(SorA9b5x63bd, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2z\xd7]\r\x7f\xe8M\xa9\xc2'), '\144' + chr(3579 - 3478) + chr(4646 - 4547) + chr(6392 - 6281) + chr(100) + chr(101))('\165' + '\164' + chr(102) + chr(0b10001 + 0o34) + chr(1002 - 946)))(MPl2jtJhzz9D)
|
apache/incubator-mxnet
|
ci/docker_cache.py
|
_login_dockerhub
|
def _login_dockerhub():
"""
Login to the Docker Hub account
:return: None
"""
dockerhub_credentials = _get_dockerhub_credentials()
logging.info('Logging in to DockerHub')
# We use password-stdin instead of --password to avoid leaking passwords in case of an error.
# This method will produce the following output:
# > WARNING! Your password will be stored unencrypted in /home/jenkins_slave/.docker/config.json.
# > Configure a credential helper to remove this warning. See
# > https://docs.docker.com/engine/reference/commandline/login/#credentials-store
# Since we consider the restricted slaves a secure environment, that's fine. Also, using this will require
# third party applications which would need a review first as well.
p = subprocess.run(['docker', 'login', '--username', dockerhub_credentials['username'], '--password-stdin'],
stdout=subprocess.PIPE, input=str.encode(dockerhub_credentials['password']))
logging.info(p.stdout)
logging.info('Successfully logged in to DockerHub')
|
python
|
def _login_dockerhub():
"""
Login to the Docker Hub account
:return: None
"""
dockerhub_credentials = _get_dockerhub_credentials()
logging.info('Logging in to DockerHub')
# We use password-stdin instead of --password to avoid leaking passwords in case of an error.
# This method will produce the following output:
# > WARNING! Your password will be stored unencrypted in /home/jenkins_slave/.docker/config.json.
# > Configure a credential helper to remove this warning. See
# > https://docs.docker.com/engine/reference/commandline/login/#credentials-store
# Since we consider the restricted slaves a secure environment, that's fine. Also, using this will require
# third party applications which would need a review first as well.
p = subprocess.run(['docker', 'login', '--username', dockerhub_credentials['username'], '--password-stdin'],
stdout=subprocess.PIPE, input=str.encode(dockerhub_credentials['password']))
logging.info(p.stdout)
logging.info('Successfully logged in to DockerHub')
|
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"# We use password-stdin instead of --password to avoid leaking passwords in case of an error.",
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"# > Configure a credential helper to remove this warning. See",
"# > https://docs.docker.com/engine/reference/commandline/login/#credentials-store",
"# Since we consider the restricted slaves a secure environment, that's fine. Also, using this will require",
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] |
Login to the Docker Hub account
:return: None
|
[
"Login",
"to",
"the",
"Docker",
"Hub",
"account",
":",
"return",
":",
"None"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/ci/docker_cache.py#L116-L134
|
train
|
Login to the Docker Hub account
|
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(0b1010111 + 0o30) + chr(49) + chr(54) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + chr(0b100010 + 0o20) + chr(1883 - 1834) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\065' + chr(0b10010 + 0o41), 37917 - 37909), ehT0Px3KOsy9(chr(649 - 601) + '\157' + chr(0b110011) + '\x35' + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(3302 - 3191) + chr(51) + chr(0b110110) + chr(0b110011), 38040 - 38032), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110110) + chr(2410 - 2360), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10001 + 0o41) + chr(49) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(3999 - 3888) + chr(50) + '\062', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\x33' + '\061', 12878 - 12870), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b110111) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(0b100110 + 0o14) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(10025 - 9914) + '\x31' + chr(465 - 414) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b110 + 0o151) + chr(1873 - 1823) + chr(0b10111 + 0o33), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(1286 - 1236) + '\x31', 64984 - 64976), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + '\064' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(456 - 408) + chr(0b101110 + 0o101) + chr(0b11110 + 0o26) + '\x36', 10133 - 10125), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1101 + 0o46) + chr(548 - 499) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(0b101000 + 0o10) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111110 + 0o61) + chr(0b1100 + 0o46) + '\x32' + chr(0b100 + 0o57), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000000 + 0o57) + chr(49) + chr(0b110100) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b101101 + 0o7) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + '\063' + chr(0b101 + 0o54), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1819 - 1765) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6329 - 6218) + chr(414 - 363) + chr(49) + chr(0b110000), 11683 - 11675), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2321 - 2270) + chr(0b110101) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\064' + chr(0b110101), 51197 - 51189), ehT0Px3KOsy9('\060' + '\x6f' + '\x34' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1111 + 0o43) + chr(48) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1010 + 0o145) + chr(740 - 685) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + '\061' + chr(0b11100 + 0o31) + chr(0b110110), 13299 - 13291), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\x37' + chr(0b110100), 34765 - 34757), ehT0Px3KOsy9(chr(0b110000) + chr(10974 - 10863) + chr(0b110001) + chr(0b100000 + 0o23) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1994 - 1946) + chr(0b110 + 0o151) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + '\x32' + chr(0b101010 + 0o15) + chr(2315 - 2261), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100111 + 0o12) + chr(0b10000 + 0o43) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b10011 + 0o36) + chr(52) + chr(0b10110 + 0o32), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b11111 + 0o120) + chr(49) + '\x31' + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(0b10010 + 0o135) + chr(49) + chr(0b1010 + 0o51) + '\x31', 25497 - 25489), ehT0Px3KOsy9(chr(48) + chr(0b11011 + 0o124) + '\x31' + '\x35' + chr(0b101000 + 0o14), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(11729 - 11618) + '\065' + chr(135 - 87), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'X'), chr(9459 - 9359) + chr(101) + chr(0b1100011) + chr(0b1011 + 0o144) + '\x64' + chr(0b1100101))('\165' + chr(0b110000 + 0o104) + '\146' + chr(2005 - 1960) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def wkX1q54Kbwo2():
_OnmJ1cQWXUh = m5dwH6WBrEtc()
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'%\xbe\xa3\x94\x86Q\xed%\xf3\xd3J4'), chr(0b110 + 0o136) + '\145' + '\143' + chr(0b1011000 + 0o27) + '\x64' + chr(0b1100101))(chr(0b1001000 + 0o55) + chr(0b1001101 + 0o47) + chr(0b1100110) + chr(229 - 184) + chr(0b10100 + 0o44)))(xafqLlk3kkUe(SXOLrMavuUCe(b':\xe6\x8c\x8b\x9a\\\xed2\xf0\xd10+y2U\x0cE\xa1\xe7\xe1/\x95{'), '\144' + '\145' + chr(99) + '\x6f' + chr(0b1100100) + chr(101))('\165' + chr(116) + chr(4871 - 4769) + chr(1178 - 1133) + chr(56)))
UyakMW2IMFEj = SorA9b5x63bd.sgt5BU61bwZ2([xafqLlk3kkUe(SXOLrMavuUCe(b'\x12\xe6\x88\x87\x96@'), chr(1766 - 1666) + chr(0b1100101) + chr(2494 - 2395) + chr(0b1101000 + 0o7) + chr(4013 - 3913) + chr(0b1100101))('\165' + '\164' + chr(0b1001110 + 0o30) + chr(45) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a\xe6\x8c\x85\x9d'), chr(100) + chr(101) + chr(3329 - 3230) + chr(0b110100 + 0o73) + chr(100) + chr(0b1100101))(chr(1320 - 1203) + chr(0b1110100) + chr(0b1001001 + 0o35) + '\055' + chr(755 - 699)), xafqLlk3kkUe(SXOLrMavuUCe(b'[\xa4\x9e\x9f\x96@\xe4s\xf4\xda'), chr(0b1100100) + chr(101) + chr(7212 - 7113) + chr(0b101001 + 0o106) + '\144' + chr(4895 - 4794))('\165' + chr(0b1110100) + chr(0b1000110 + 0o40) + '\x2d' + chr(2587 - 2531)), _OnmJ1cQWXUh[xafqLlk3kkUe(SXOLrMavuUCe(b'\x03\xfa\x8e\x9e\x9dS\xe7w'), chr(0b1000001 + 0o43) + chr(0b101111 + 0o66) + chr(99) + chr(2397 - 2286) + '\x64' + chr(0b1100101))('\165' + '\x74' + chr(0b1001110 + 0o30) + chr(45) + '\070')], xafqLlk3kkUe(SXOLrMavuUCe(b'[\xa4\x9b\x8d\x80A\xfd}\xeb\xdb=,bvx\r'), '\144' + chr(101) + '\x63' + chr(111) + chr(100) + chr(101))(chr(0b1110101) + chr(2478 - 2362) + chr(2035 - 1933) + '\x2d' + chr(0b111000))], stdout=SorA9b5x63bd.PIPE, input=M8_cKLkHVB2V.encode(_OnmJ1cQWXUh[xafqLlk3kkUe(SXOLrMavuUCe(b'\x06\xe8\x98\x9f\x84]\xf8v'), chr(100) + chr(0b111010 + 0o53) + chr(0b1100011 + 0o0) + chr(111) + '\x64' + chr(0b1001110 + 0o27))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\x2d' + chr(56))]))
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'%\xbe\xa3\x94\x86Q\xed%\xf3\xd3J4'), '\144' + chr(0b1100101) + chr(99) + '\157' + chr(0b1001 + 0o133) + chr(0b1100101))('\x75' + chr(116) + chr(102) + '\055' + '\x38'))(xafqLlk3kkUe(UyakMW2IMFEj, xafqLlk3kkUe(SXOLrMavuUCe(b'1\xe7\x9d\xb5\x99\x00\xceu\xc0\xd5u0'), chr(0b1100100) + chr(0b1100101) + chr(99) + '\157' + '\x64' + chr(0b1100000 + 0o5))(chr(12697 - 12580) + chr(0b110110 + 0o76) + chr(5724 - 5622) + '\055' + chr(693 - 637))))
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'%\xbe\xa3\x94\x86Q\xed%\xf3\xd3J4'), chr(100) + '\x65' + '\143' + chr(0b1101111) + chr(0b1100100) + chr(0b101000 + 0o75))(chr(11366 - 11249) + '\164' + chr(102) + chr(45) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'%\xfc\x88\x8f\x96A\xf9t\xec\xd3|&6~~\x04A\xaf\xe6\xb3\x0e\x8e9@\xa7\xceaH\xe4U\x0b\x0e\x16w\xdc'), chr(7627 - 7527) + chr(6712 - 6611) + chr(6546 - 6447) + chr(111) + chr(0b1011100 + 0o10) + chr(0b11001 + 0o114))(chr(0b110 + 0o157) + '\164' + '\146' + '\055' + '\070'))
|
apache/incubator-mxnet
|
ci/docker_cache.py
|
load_docker_cache
|
def load_docker_cache(registry, docker_tag) -> None:
"""
Load the precompiled docker cache from the registry
:param registry: Docker registry name
:param docker_tag: Docker tag to load
:return: None
"""
# We don't have to retag the image since it's already in the right format
if not registry:
return
assert docker_tag
logging.info('Loading Docker cache for %s from %s', docker_tag, registry)
pull_cmd = ['docker', 'pull', docker_tag]
# Don't throw an error if the image does not exist
subprocess.run(pull_cmd, timeout=DOCKER_CACHE_TIMEOUT_MINS*60)
logging.info('Successfully pulled docker cache')
|
python
|
def load_docker_cache(registry, docker_tag) -> None:
"""
Load the precompiled docker cache from the registry
:param registry: Docker registry name
:param docker_tag: Docker tag to load
:return: None
"""
# We don't have to retag the image since it's already in the right format
if not registry:
return
assert docker_tag
logging.info('Loading Docker cache for %s from %s', docker_tag, registry)
pull_cmd = ['docker', 'pull', docker_tag]
# Don't throw an error if the image does not exist
subprocess.run(pull_cmd, timeout=DOCKER_CACHE_TIMEOUT_MINS*60)
logging.info('Successfully pulled docker cache')
|
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] |
Load the precompiled docker cache from the registry
:param registry: Docker registry name
:param docker_tag: Docker tag to load
:return: None
|
[
"Load",
"the",
"precompiled",
"docker",
"cache",
"from",
"the",
"registry",
":",
"param",
"registry",
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"Docker",
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"Docker",
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":",
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":",
"None"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/ci/docker_cache.py#L149-L166
|
train
|
Load the precompiled docker cache from the registry
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(0b110011) + chr(0b10011 + 0o36) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(49) + chr(55) + chr(0b111 + 0o60), 0o10), ehT0Px3KOsy9(chr(238 - 190) + '\x6f' + chr(0b110111) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b110001) + '\x34', 50533 - 50525), ehT0Px3KOsy9(chr(81 - 33) + '\157' + chr(0b10001 + 0o40) + chr(0b10110 + 0o37) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\065' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(261 - 212) + '\061' + chr(52), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1362 - 1312) + '\065' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(53) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(849 - 801) + '\157' + chr(0b110001) + '\062' + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(2529 - 2418) + '\x32' + chr(0b110000) + chr(55), 0o10), ehT0Px3KOsy9(chr(471 - 423) + chr(111) + '\x36' + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(1673 - 1619) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(1848 - 1800) + chr(0b110111 + 0o70) + '\x31' + chr(0b10110 + 0o32) + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(52) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1628 - 1579) + '\x33', 395 - 387), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(0b110001) + chr(49) + chr(0b101000 + 0o17), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b110111) + '\x37', 8), ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + chr(51) + chr(51), 19372 - 19364), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b110101), 46334 - 46326), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(50) + chr(0b100100 + 0o23), 0o10), ehT0Px3KOsy9(chr(995 - 947) + chr(111) + '\063' + '\064' + chr(0b101001 + 0o16), 50561 - 50553), ehT0Px3KOsy9('\060' + chr(0b1100010 + 0o15) + '\x32' + chr(0b110011) + chr(374 - 323), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1784 - 1673) + chr(0b110011) + chr(55) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + '\061' + '\066' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2223 - 2174) + chr(0b110011) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(50) + chr(1489 - 1441), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11111 + 0o120) + chr(50) + chr(0b110101) + chr(1353 - 1299), 8), ehT0Px3KOsy9(chr(1965 - 1917) + chr(0b1101111) + '\063' + '\x33' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(691 - 580) + '\x33' + chr(48) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9355 - 9244) + chr(50) + chr(52) + chr(1188 - 1140), 0o10), ehT0Px3KOsy9(chr(1536 - 1488) + '\x6f' + chr(0b101110 + 0o5) + '\x37' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110111) + chr(454 - 404), 8), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(12290 - 12179) + '\x31' + chr(54) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + chr(49) + chr(0b110111) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1001 + 0o51) + '\061' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(719 - 670) + chr(1690 - 1642), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\062' + chr(0b110011), 54920 - 54912), ehT0Px3KOsy9(chr(1959 - 1911) + '\157' + chr(2276 - 2227) + '\061' + chr(0b110100), 8), ehT0Px3KOsy9(chr(96 - 48) + chr(0b1101111) + '\x33' + chr(0b110100) + chr(48), 22286 - 22278)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110101) + chr(0b11010 + 0o26), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7'), chr(4314 - 4214) + '\145' + chr(3301 - 3202) + chr(7159 - 7048) + chr(7474 - 7374) + chr(2104 - 2003))(chr(0b1110101) + chr(0b1110100) + chr(0b1 + 0o145) + '\055' + chr(0b11010 + 0o36)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def G52xGcWGbhTg(U24OBsRcVqkJ, oTPBIOtMlvIi) -> None:
if not U24OBsRcVqkJ:
return
assert oTPBIOtMlvIi
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9aHr4\x1c\x0e+\x99D=\xdd_'), chr(0b1100100) + chr(101) + '\143' + '\157' + chr(0b10 + 0o142) + '\145')('\x75' + chr(0b10010 + 0o142) + chr(0b100010 + 0o104) + '\055' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x85\x10[(\x00\x03+\x8ej>\xe4_\xd76\x02h.\x1csp\xb7\x81\xf4\x8eUy\xe3\x8e\xba\xb3\xcf\x94\x1aS\n'), chr(0b1010001 + 0o23) + chr(101) + chr(99) + chr(11755 - 11644) + chr(3925 - 3825) + chr(0b1010000 + 0o25))(chr(0b1110101) + '\x74' + '\x66' + chr(45) + chr(155 - 99)), oTPBIOtMlvIi, U24OBsRcVqkJ)
onsdeDOrEvsN = [xafqLlk3kkUe(SXOLrMavuUCe(b"\xad\x10Y'\x0c\x1f"), chr(100) + '\x65' + '\143' + '\x6f' + chr(9448 - 9348) + '\145')(chr(0b1110101) + chr(10431 - 10315) + chr(102) + chr(45) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\nV '), '\144' + chr(9568 - 9467) + '\x63' + chr(111) + '\144' + '\x65')(chr(117) + chr(4387 - 4271) + '\x66' + '\055' + '\070'), oTPBIOtMlvIi]
xafqLlk3kkUe(SorA9b5x63bd, xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\x18Ny+8z\x9fL&\xdd\x06'), chr(0b101001 + 0o73) + chr(101) + chr(99) + chr(111) + chr(3458 - 3358) + chr(101))(chr(9527 - 9410) + chr(0b1110100) + chr(102) + chr(0b11111 + 0o16) + '\x38'))(onsdeDOrEvsN, timeout=I9NeXGcTISki * ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110111) + '\x34', 59014 - 59006))
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9aHr4\x1c\x0e+\x99D=\xdd_'), chr(0b1100100) + chr(101) + chr(5695 - 5596) + chr(0b1101111) + chr(7312 - 7212) + '\x65')('\x75' + '\x74' + '\x66' + chr(0b11111 + 0o16) + chr(0b101111 + 0o11)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\nY/\x0c\x1e?\xc8[=\xebM\x924Wg#\x1a\x7f5\xf3\x88\xf8\x97\x10.\xb0\xcd\xbd\xa2\xc8\x9c'), '\144' + chr(101) + '\143' + chr(111) + chr(100) + chr(0b1100101))(chr(8845 - 8728) + '\164' + chr(0b11011 + 0o113) + chr(0b101101) + chr(531 - 475)))
|
apache/incubator-mxnet
|
ci/docker_cache.py
|
delete_local_docker_cache
|
def delete_local_docker_cache(docker_tag):
"""
Delete the local docker cache for the entire docker image chain
:param docker_tag: Docker tag
:return: None
"""
history_cmd = ['docker', 'history', '-q', docker_tag]
try:
image_ids_b = subprocess.check_output(history_cmd)
image_ids_str = image_ids_b.decode('utf-8').strip()
layer_ids = [id.strip() for id in image_ids_str.split('\n') if id != '<missing>']
delete_cmd = ['docker', 'image', 'rm', '--force']
delete_cmd.extend(layer_ids)
subprocess.check_call(delete_cmd)
except subprocess.CalledProcessError as error:
# Could be caused by the image not being present
logging.debug('Error during local cache deletion %s', error)
|
python
|
def delete_local_docker_cache(docker_tag):
"""
Delete the local docker cache for the entire docker image chain
:param docker_tag: Docker tag
:return: None
"""
history_cmd = ['docker', 'history', '-q', docker_tag]
try:
image_ids_b = subprocess.check_output(history_cmd)
image_ids_str = image_ids_b.decode('utf-8').strip()
layer_ids = [id.strip() for id in image_ids_str.split('\n') if id != '<missing>']
delete_cmd = ['docker', 'image', 'rm', '--force']
delete_cmd.extend(layer_ids)
subprocess.check_call(delete_cmd)
except subprocess.CalledProcessError as error:
# Could be caused by the image not being present
logging.debug('Error during local cache deletion %s', error)
|
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] |
Delete the local docker cache for the entire docker image chain
:param docker_tag: Docker tag
:return: None
|
[
"Delete",
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/ci/docker_cache.py#L169-L187
|
train
|
Delete the local docker cache for the entire docker image chain
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(1132 - 1084) + chr(11203 - 11092) + chr(49) + chr(1355 - 1302) + chr(0b11010 + 0o30), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(697 - 647) + chr(54) + chr(0b1110 + 0o45), 6289 - 6281), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1799 - 1749) + '\x35' + chr(2452 - 2402), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\063' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(0b10001 + 0o37) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\061' + chr(48), 55700 - 55692), ehT0Px3KOsy9(chr(0b110000) + chr(7934 - 7823) + chr(1510 - 1461) + chr(50) + chr(0b101011 + 0o11), 0b1000), ehT0Px3KOsy9('\060' + chr(0b100010 + 0o115) + chr(0b110011) + chr(51) + chr(0b11100 + 0o26), 31575 - 31567), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b110111) + chr(0b1 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(1256 - 1208) + '\157' + chr(50) + chr(2119 - 2071) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011110 + 0o21) + chr(0b110001) + chr(0b110000) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(0b110001) + chr(0b101011 + 0o10), 0o10), ehT0Px3KOsy9('\060' + chr(0b101000 + 0o107) + chr(406 - 353) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(12261 - 12150) + chr(1698 - 1649) + chr(0b110101) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(12019 - 11908) + '\x31' + '\062' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b101000 + 0o15), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b11000 + 0o127) + chr(0b110010) + chr(51) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(1410 - 1362) + '\x6f' + chr(282 - 228) + chr(0b11010 + 0o30), 24500 - 24492), ehT0Px3KOsy9('\x30' + chr(0b1010 + 0o145) + chr(0b110011) + chr(0b110011) + '\062', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(51) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\060' + chr(2114 - 2066), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\066' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110111) + chr(686 - 633), 0b1000), ehT0Px3KOsy9(chr(48) + chr(9381 - 9270) + chr(1637 - 1588) + '\063' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + '\061' + chr(772 - 722) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(50) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1063 - 1015) + chr(0b1101111) + chr(0b10110 + 0o40) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011111 + 0o20) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + '\063' + chr(0b11110 + 0o26), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + chr(49) + chr(55) + chr(0b1110 + 0o46), 44575 - 44567), ehT0Px3KOsy9('\060' + chr(4263 - 4152) + '\x33' + chr(0b100111 + 0o12) + chr(1242 - 1190), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(0b1100 + 0o45) + chr(581 - 527), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(49), 8), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b111100 + 0o63) + chr(0b110011) + '\x30' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110100) + chr(52), 40956 - 40948), ehT0Px3KOsy9(chr(980 - 932) + chr(0b1010010 + 0o35) + chr(50) + chr(0b110110), 8471 - 8463), ehT0Px3KOsy9('\x30' + chr(0b111001 + 0o66) + chr(0b10011 + 0o37) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\x30' + chr(0b100111 + 0o15), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(0b110010) + chr(1972 - 1920), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1000101 + 0o52) + '\x35' + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'>'), chr(0b111000 + 0o54) + chr(0b1100101) + '\143' + '\157' + '\x64' + chr(0b111 + 0o136))(chr(0b111011 + 0o72) + chr(116) + chr(10261 - 10159) + chr(0b101101) + chr(0b110110 + 0o2)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def mst13LjBhwpC(oTPBIOtMlvIi):
IBnkBgnJbxq2 = [xafqLlk3kkUe(SXOLrMavuUCe(b't\x05\xd0\xc1\xf9\xf7'), chr(0b1011 + 0o131) + '\x65' + '\x63' + chr(0b1101111) + chr(0b1011111 + 0o5) + chr(0b1100101))(chr(0b11110 + 0o127) + '\164' + chr(102) + '\x2d' + chr(0b110001 + 0o7)), xafqLlk3kkUe(SXOLrMavuUCe(b'x\x03\xc0\xde\xf3\xf7\xb1'), '\x64' + chr(0b11001 + 0o114) + chr(4817 - 4718) + '\157' + chr(3883 - 3783) + chr(1134 - 1033))('\x75' + chr(0b1110100) + '\146' + chr(1753 - 1708) + chr(0b10100 + 0o44)), xafqLlk3kkUe(SXOLrMavuUCe(b'=\x1b'), chr(0b1100100) + '\x65' + chr(0b1001111 + 0o24) + chr(111) + '\x64' + chr(3920 - 3819))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(1467 - 1422) + chr(0b101010 + 0o16)), oTPBIOtMlvIi]
try:
CkjZUJGP3KNI = SorA9b5x63bd.check_output(IBnkBgnJbxq2)
zQhOmMJrfMTF = CkjZUJGP3KNI.decode(xafqLlk3kkUe(SXOLrMavuUCe(b'e\x1e\xd5\x87\xa4'), '\x64' + chr(0b1100101) + chr(2919 - 2820) + chr(0b1101111) + '\x64' + '\x65')(chr(0b1110101) + '\164' + '\146' + '\055' + chr(0b1010 + 0o56))).VmIJF6Fy6LrX()
o3OsP51rApBZ = [z8EhBlYI2Bx4.VmIJF6Fy6LrX() for z8EhBlYI2Bx4 in zQhOmMJrfMTF.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a'), '\144' + chr(0b1100001 + 0o4) + chr(99) + chr(0b10111 + 0o130) + chr(6659 - 6559) + '\145')('\x75' + chr(8188 - 8072) + chr(0b1100110) + '\x2d' + chr(56))) if z8EhBlYI2Bx4 != xafqLlk3kkUe(SXOLrMavuUCe(b',\x07\xda\xd9\xef\xec\xa63\xe4'), chr(100) + '\x65' + chr(0b111011 + 0o50) + '\157' + chr(100) + chr(0b101011 + 0o72))(chr(0b1110101) + chr(0b1011110 + 0o26) + '\x66' + chr(45) + chr(2749 - 2693))]
PVTYUKgBxNLA = [xafqLlk3kkUe(SXOLrMavuUCe(b't\x05\xd0\xc1\xf9\xf7'), chr(3066 - 2966) + chr(7415 - 7314) + chr(4899 - 4800) + chr(0b1000100 + 0o53) + chr(7693 - 7593) + '\x65')(chr(0b1000101 + 0o60) + '\164' + chr(0b101000 + 0o76) + chr(236 - 191) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'y\x07\xd2\xcd\xf9'), chr(100) + chr(1656 - 1555) + chr(0b1100011) + '\x6f' + chr(0b110001 + 0o63) + '\x65')(chr(117) + chr(0b111110 + 0o66) + chr(102) + chr(0b100100 + 0o11) + chr(0b11111 + 0o31)), xafqLlk3kkUe(SXOLrMavuUCe(b'b\x07'), chr(100) + chr(0b1100101) + chr(99) + '\x6f' + chr(0b1100010 + 0o2) + chr(101))(chr(1404 - 1287) + chr(0b1110100) + '\x66' + '\055' + chr(0b10011 + 0o45)), xafqLlk3kkUe(SXOLrMavuUCe(b'=G\xd5\xc5\xee\xe6\xad'), chr(100) + chr(101) + '\x63' + chr(0b1101111) + chr(100) + chr(101))(chr(0b1100001 + 0o24) + chr(116) + chr(0b1010 + 0o134) + '\055' + '\070')]
xafqLlk3kkUe(PVTYUKgBxNLA, xafqLlk3kkUe(SXOLrMavuUCe(b'u\x12\xc7\xcf\xf2\xe1'), chr(0b1001001 + 0o33) + '\145' + chr(0b1100 + 0o127) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b1001100 + 0o32) + chr(0b101101) + chr(0b111000)))(o3OsP51rApBZ)
xafqLlk3kkUe(SorA9b5x63bd, xafqLlk3kkUe(SXOLrMavuUCe(b's\x02\xd6\xc9\xf7\xda\xab5\xb6\x14'), chr(100) + chr(2487 - 2386) + '\143' + chr(111) + chr(0b1100100) + chr(4765 - 4664))('\x75' + chr(4604 - 4488) + '\146' + chr(0b1110 + 0o37) + chr(0b100010 + 0o26)))(PVTYUKgBxNLA)
except xafqLlk3kkUe(SorA9b5x63bd, xafqLlk3kkUe(SXOLrMavuUCe(b"S\x0b\xdf\xc6\xf9\xe1\x98&\xb5\x1b\xe31\xf8j\x19'r\xe8"), chr(100) + '\145' + '\143' + chr(111) + chr(5815 - 5715) + chr(101))(chr(0b1100000 + 0o25) + chr(116) + chr(0b1100110) + chr(280 - 235) + chr(0b111000))) as EUdPatOS1wx0:
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b't\x0f\xd1\xdf\xfb'), '\144' + chr(2120 - 2019) + '\143' + chr(0b111000 + 0o67) + '\x64' + chr(1801 - 1700))('\x75' + '\x74' + chr(102) + chr(1829 - 1784) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'U\x18\xc1\xc5\xee\xa5\xac!\xa8\x11\xe8%\xabC\x046|\xf6\x12\xb9\xbe#\xdfX}73Xdh\x15\xa3`!\xe2W'), '\144' + chr(0b1100101) + '\143' + chr(111) + '\144' + chr(0b1011100 + 0o11))(chr(0b110111 + 0o76) + chr(116) + chr(0b1100110) + chr(45) + chr(0b1011 + 0o55)), EUdPatOS1wx0)
|
apache/incubator-mxnet
|
ci/docker_cache.py
|
main
|
def main() -> int:
"""
Utility to create and publish the Docker cache to Docker Hub
:return:
"""
# We need to be in the same directory than the script so the commands in the dockerfiles work as
# expected. But the script can be invoked from a different path
base = os.path.split(os.path.realpath(__file__))[0]
os.chdir(base)
logging.getLogger().setLevel(logging.DEBUG)
logging.getLogger('botocore').setLevel(logging.INFO)
logging.getLogger('boto3').setLevel(logging.INFO)
logging.getLogger('urllib3').setLevel(logging.INFO)
logging.getLogger('s3transfer').setLevel(logging.INFO)
def script_name() -> str:
return os.path.split(sys.argv[0])[1]
logging.basicConfig(format='{}: %(asctime)-15s %(message)s'.format(script_name()))
parser = argparse.ArgumentParser(description="Utility for preserving and loading Docker cache", epilog="")
parser.add_argument("--docker-registry",
help="Docker hub registry name",
type=str,
required=True)
args = parser.parse_args()
platforms = build_util.get_platforms()
try:
_login_dockerhub()
return build_save_containers(platforms=platforms, registry=args.docker_registry, load_cache=True)
finally:
_logout_dockerhub()
|
python
|
def main() -> int:
"""
Utility to create and publish the Docker cache to Docker Hub
:return:
"""
# We need to be in the same directory than the script so the commands in the dockerfiles work as
# expected. But the script can be invoked from a different path
base = os.path.split(os.path.realpath(__file__))[0]
os.chdir(base)
logging.getLogger().setLevel(logging.DEBUG)
logging.getLogger('botocore').setLevel(logging.INFO)
logging.getLogger('boto3').setLevel(logging.INFO)
logging.getLogger('urllib3').setLevel(logging.INFO)
logging.getLogger('s3transfer').setLevel(logging.INFO)
def script_name() -> str:
return os.path.split(sys.argv[0])[1]
logging.basicConfig(format='{}: %(asctime)-15s %(message)s'.format(script_name()))
parser = argparse.ArgumentParser(description="Utility for preserving and loading Docker cache", epilog="")
parser.add_argument("--docker-registry",
help="Docker hub registry name",
type=str,
required=True)
args = parser.parse_args()
platforms = build_util.get_platforms()
try:
_login_dockerhub()
return build_save_containers(platforms=platforms, registry=args.docker_registry, load_cache=True)
finally:
_logout_dockerhub()
|
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"\"Utility for preserving and loading Docker cache\"",
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] |
Utility to create and publish the Docker cache to Docker Hub
:return:
|
[
"Utility",
"to",
"create",
"and",
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"the",
"Docker",
"cache",
"to",
"Docker",
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":",
"return",
":"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/ci/docker_cache.py#L221-L255
|
train
|
Utility to create and publish the Docker cache to Docker Hub
|
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(50) + chr(54) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(6730 - 6619) + '\x33' + chr(0b110011) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(935 - 887) + '\x6f' + chr(49) + chr(0b101001 + 0o15) + chr(884 - 836), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010110 + 0o31) + '\062' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\064' + chr(49), 28507 - 28499), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(53) + '\x35', 0b1000), ehT0Px3KOsy9(chr(992 - 944) + chr(0b1001010 + 0o45) + '\063' + '\062' + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(1004 - 949) + chr(0b110001), 52243 - 52235), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33', 0b1000), ehT0Px3KOsy9(chr(1269 - 1221) + '\x6f' + chr(1670 - 1620) + chr(0b110011 + 0o0) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1862 - 1811) + chr(49) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b111 + 0o53) + '\065' + '\060', 22273 - 22265), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b110001 + 0o1) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(8746 - 8635) + '\x32' + chr(50) + chr(1103 - 1048), ord("\x08")), ehT0Px3KOsy9(chr(1710 - 1662) + chr(0b1101111) + '\061' + '\066' + chr(0b11000 + 0o33), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\x32', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10110 + 0o34) + chr(326 - 275) + chr(2982 - 2927), ord("\x08")), ehT0Px3KOsy9(chr(722 - 674) + chr(0b1101111) + '\x33' + chr(0b100000 + 0o22) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1776 - 1725) + chr(0b1011 + 0o51) + '\062', 27230 - 27222), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101010 + 0o11) + chr(54) + chr(0b101111 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(0b110011 + 0o0) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1010000 + 0o37) + chr(0b110010) + chr(0b110100) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1340 - 1290) + '\065' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10 + 0o61) + chr(1630 - 1577) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(3385 - 3274) + chr(0b110010) + '\065' + chr(2490 - 2436), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(0b110001) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11 + 0o154) + chr(0b110 + 0o53) + chr(421 - 369) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + chr(0b110010) + chr(2234 - 2179), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(2509 - 2454), 8), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(0b110001) + '\x37' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + chr(1709 - 1660) + chr(0b110110) + chr(48), 8), ehT0Px3KOsy9(chr(1354 - 1306) + chr(0b1101111) + chr(0b11100 + 0o33) + '\x30', 41268 - 41260), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + '\x32' + chr(0b100110 + 0o16) + '\061', 8), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(2393 - 2343) + chr(624 - 575) + chr(0b110010), 47498 - 47490), ehT0Px3KOsy9(chr(343 - 295) + '\157' + '\x31' + chr(52) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100011 + 0o114) + chr(1473 - 1424) + chr(1292 - 1237), 0b1000), ehT0Px3KOsy9(chr(241 - 193) + '\x6f' + chr(49) + '\x33' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(1575 - 1527) + chr(111) + chr(49) + '\x36' + '\x32', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1010100 + 0o33) + '\065' + chr(48), 58934 - 58926)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f'), chr(0b1100100) + chr(6581 - 6480) + chr(0b1100011) + chr(4164 - 4053) + '\144' + '\x65')(chr(0b101010 + 0o113) + chr(0b111010 + 0o72) + chr(0b1100110) + chr(0b100010 + 0o13) + chr(1006 - 950)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def PGNrezus7XpS() -> ehT0Px3KOsy9:
XLXqkmM_0GVx = oqhJDdMJfuwx.path.split(oqhJDdMJfuwx.path.realpath(tmzuw0hjv33u))[ehT0Px3KOsy9(chr(48) + chr(11667 - 11556) + chr(0b10111 + 0o31), 0o10)]
xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2\xb5\x14|\xd3'), chr(0b1100100) + chr(0b11111 + 0o106) + '\x63' + '\x6f' + '\144' + '\145')(chr(117) + chr(0b1110100) + chr(1237 - 1135) + chr(45) + chr(0b1 + 0o67)))(XLXqkmM_0GVx)
xafqLlk3kkUe(UeotCCWOPSQS.getLogger(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xb8\x04Y\xc4\x9b\xb3U'), chr(8434 - 8334) + '\145' + '\143' + '\157' + '\144' + chr(0b1 + 0o144))('\x75' + '\x74' + chr(8865 - 8763) + chr(702 - 657) + chr(0b1110 + 0o52)))(xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\x982@\xe6'), '\x64' + chr(0b1001100 + 0o31) + chr(0b1010011 + 0o20) + chr(0b1101111) + chr(0b111010 + 0o52) + chr(101))('\x75' + chr(0b1110100) + chr(0b110 + 0o140) + '\x2d' + chr(0b11010 + 0o36))))
xafqLlk3kkUe(UeotCCWOPSQS.getLogger(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\xb2\x04z\xc2\x82\xa4\\'), chr(0b1100100) + '\x65' + chr(3460 - 3361) + chr(0b1101111) + chr(2547 - 2447) + chr(7457 - 7356))(chr(0b1000111 + 0o56) + '\x74' + '\x66' + chr(0b10100 + 0o31) + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xb8\x04Y\xc4\x9b\xb3U'), chr(100) + '\x65' + chr(5075 - 4976) + '\157' + '\144' + '\x65')(chr(12670 - 12553) + '\x74' + chr(0b1000111 + 0o37) + chr(0b11000 + 0o25) + '\070'))(xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\x936Z'), chr(0b1000101 + 0o37) + '\x65' + chr(7117 - 7018) + chr(0b1101111) + chr(0b1001111 + 0o25) + '\x65')('\x75' + chr(0b1000110 + 0o56) + chr(7863 - 7761) + chr(45) + '\x38')))
xafqLlk3kkUe(UeotCCWOPSQS.getLogger(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\xb2\x04z\x92'), '\x64' + '\x65' + chr(0b1000101 + 0o36) + chr(111) + chr(0b1100100) + '\x65')('\x75' + chr(11121 - 11005) + chr(10082 - 9980) + chr(45) + chr(1011 - 955))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xb8\x04Y\xc4\x9b\xb3U'), chr(5288 - 5188) + '\x65' + chr(5350 - 5251) + chr(111) + chr(9772 - 9672) + '\145')(chr(11909 - 11792) + chr(0b1000111 + 0o55) + '\146' + chr(45) + chr(56)))(xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\x936Z'), '\x64' + chr(0b1100101) + '\x63' + '\x6f' + chr(0b1100100) + chr(0b1000111 + 0o36))('\x75' + chr(116) + chr(102) + chr(0b11000 + 0o25) + chr(0b111000))))
xafqLlk3kkUe(UeotCCWOPSQS.getLogger(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\xaf\x1cy\xc8\x8f\xe5'), chr(2919 - 2819) + chr(101) + chr(5095 - 4996) + chr(0b1001101 + 0o42) + chr(0b1100100) + chr(101))('\165' + chr(7058 - 6942) + chr(5261 - 5159) + '\055' + '\070')), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xb8\x04Y\xc4\x9b\xb3U'), chr(100) + chr(0b1011111 + 0o6) + chr(4596 - 4497) + '\157' + '\x64' + '\x65')('\x75' + chr(116) + chr(0b1010011 + 0o23) + '\x2d' + chr(56)))(xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\x936Z'), chr(0b11010 + 0o112) + chr(0b1010101 + 0o20) + '\143' + chr(0b1101111) + chr(0b1100100) + '\x65')('\165' + '\164' + chr(0b1100110) + chr(0b101101) + '\x38')))
xafqLlk3kkUe(UeotCCWOPSQS.getLogger(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xee\x04g\xc0\x83\xa5_f\xef'), '\144' + chr(4490 - 4389) + '\x63' + '\x6f' + chr(0b1100100) + chr(917 - 816))('\165' + chr(0b1110100) + chr(102) + '\x2d' + chr(943 - 887))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xb8\x04Y\xc4\x9b\xb3U'), '\144' + chr(0b101010 + 0o73) + '\x63' + '\x6f' + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(116) + chr(8408 - 8306) + chr(740 - 695) + chr(0b101111 + 0o11)))(xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\x936Z'), '\x64' + '\x65' + '\143' + chr(0b11011 + 0o124) + chr(100) + '\145')(chr(0b1001111 + 0o46) + chr(0b1010100 + 0o40) + '\146' + '\x2d' + chr(0b111000))))
def XrsjdWaLnbGU() -> M8_cKLkHVB2V:
return xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xad\x1c|\xd5'), chr(3226 - 3126) + chr(2467 - 2366) + chr(0b110111 + 0o54) + chr(0b1101111) + chr(0b100011 + 0o101) + chr(0b1100101))(chr(0b11100 + 0o131) + chr(6019 - 5903) + '\x66' + '\x2d' + chr(56)))(xafqLlk3kkUe(a2SYDDomXDZ2, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\xaf\x17c'), chr(0b1011101 + 0o7) + '\x65' + '\143' + chr(111) + '\144' + '\145')(chr(2261 - 2144) + chr(0b11010 + 0o132) + '\x66' + chr(45) + '\070'))[ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110000), 8)])[ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(0b0 + 0o61), 8)]
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\xbc\x03|\xc2\xae\xb9We\xf4\xa9'), chr(0b1100100) + chr(101) + chr(99) + chr(0b1101111) + '\x64' + chr(101))(chr(0b1110101) + chr(4409 - 4293) + chr(5466 - 5364) + chr(1303 - 1258) + chr(56)))(format=xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\xa0J5\x84\xc5\xb7J`\xe9\xa7\xc5\xf6\xbe^#\xaa\xa0\xc2\xd1\xf1g\xc7\xd9\x9b\xcf\xe9\x02>d'), chr(100) + chr(0b1100101) + '\143' + '\x6f' + '\x64' + '\145')(chr(0b1011101 + 0o30) + '\x74' + chr(102) + chr(0b100100 + 0o11) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xe9\x02z\xe9\x8c\x85\nS\xed\xab\xc2'), chr(0b1100100) + chr(7798 - 7697) + chr(0b1000010 + 0o41) + chr(6333 - 6222) + chr(0b1100100) + '\x65')(chr(11856 - 11739) + '\164' + '\146' + '\055' + '\070'))(XrsjdWaLnbGU()))
uvsdWIii6oeC = J3PV4AmS6TTH.ArgumentParser(description=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xa9\x19y\xc8\x99\xaf\x19e\xf2\xbc\x88\xe3\xe5\x16a\xfa\xa1\x94\x9d\xb7m\x82\xcb\x86\xca\xae\x0bxv\x1b\x19V\xc6\xaa&nl1\x17\xc3\xfd\x13t\xc2\x85\xb3'), '\144' + chr(8828 - 8727) + '\x63' + chr(111) + chr(0b1100100) + chr(0b1100101))('\165' + '\164' + chr(7706 - 7604) + chr(0b101101) + chr(56)), epilog=xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(2557 - 2457) + '\145' + chr(99) + chr(111) + '\x64' + chr(0b100 + 0o141))(chr(0b10011 + 0o142) + chr(116) + '\x66' + chr(841 - 796) + chr(2418 - 2362)))
xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\xb9\x14J\xc0\x9f\xb1Ln\xf8\xa0\xdc'), chr(1861 - 1761) + '\x65' + chr(99) + chr(0b1100011 + 0o14) + chr(0b100101 + 0o77) + chr(0b1100101))(chr(6499 - 6382) + '\164' + chr(0b1100110) + chr(163 - 118) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\xf0\x14z\xc2\x86\xb3K.\xef\xab\xcf\xfa\xe4\x07`\xe6'), chr(0b1100100) + '\x65' + chr(1845 - 1746) + chr(0b1101111) + '\x64' + '\x65')(chr(6543 - 6426) + chr(116) + '\x66' + '\x2d' + chr(2860 - 2804)), help=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\xb2\x13~\xc4\x9f\xf6Qv\xff\xee\xda\xf6\xf0\x1aa\xeb\xa1\x9b\xd4\xb7k\xcf\xcf'), '\x64' + '\x65' + chr(99) + chr(0b1101111) + chr(0b1 + 0o143) + chr(101))('\165' + chr(0b1000 + 0o154) + '\x66' + chr(45) + chr(2809 - 2753)), type=M8_cKLkHVB2V, required=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1416 - 1367), 8))
kJDRfRhcZHjS = uvsdWIii6oeC.parse_args()
a_0gwQv7GRa0 = MHbgZYln1ZLj.get_platforms()
try:
wkX1q54Kbwo2()
return JUm6Th8ZSUSd(platforms=a_0gwQv7GRa0, registry=xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\xb2\x13~\xc4\x9f\x89Kf\xfa\xa7\xdb\xe7\xe5\n'), '\x64' + chr(0b1100101) + '\x63' + chr(111) + '\144' + chr(0b1100101))(chr(13047 - 12930) + chr(116) + '\146' + chr(0b100100 + 0o11) + chr(0b111000))), load_cache=ehT0Px3KOsy9('\x30' + chr(111) + chr(990 - 941), 8))
finally:
jTrPi25yqnXw()
|
apache/incubator-mxnet
|
example/cnn_chinese_text_classification/data_helpers.py
|
get_chinese_text
|
def get_chinese_text():
"""Download the chinese_text dataset and unzip it"""
if not os.path.isdir("data/"):
os.system("mkdir data/")
if (not os.path.exists('data/pos.txt')) or \
(not os.path.exists('data/neg')):
os.system("wget -q https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/example/chinese_text.zip "
"-P data/")
os.chdir("./data")
os.system("unzip -u chinese_text.zip")
os.chdir("..")
|
python
|
def get_chinese_text():
"""Download the chinese_text dataset and unzip it"""
if not os.path.isdir("data/"):
os.system("mkdir data/")
if (not os.path.exists('data/pos.txt')) or \
(not os.path.exists('data/neg')):
os.system("wget -q https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/example/chinese_text.zip "
"-P data/")
os.chdir("./data")
os.system("unzip -u chinese_text.zip")
os.chdir("..")
|
[
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")",
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"if",
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"\"unzip -u chinese_text.zip\"",
")",
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"(",
"\"..\"",
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] |
Download the chinese_text dataset and unzip it
|
[
"Download",
"the",
"chinese_text",
"dataset",
"and",
"unzip",
"it"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/cnn_chinese_text_classification/data_helpers.py#L51-L61
|
train
|
Download the chinese_text dataset and unzip it
|
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(0b1011000 + 0o27) + '\x32' + '\063' + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(6523 - 6412) + chr(0b110100) + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + chr(51) + chr(2404 - 2349) + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + '\x35' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111000 + 0o67) + '\062' + chr(0b110010) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2872 - 2761) + '\065', 0b1000), ehT0Px3KOsy9(chr(363 - 315) + chr(0b1000110 + 0o51) + chr(51) + chr(0b110000) + chr(0b10101 + 0o37), 0b1000), ehT0Px3KOsy9(chr(1257 - 1209) + '\x6f' + '\062' + '\x35' + chr(54), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(2832 - 2777) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010 + 0o145) + '\065' + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(11876 - 11765) + chr(49) + '\x34' + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1679 - 1627) + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b110111) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\x35' + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(1562 - 1509) + '\064', 0o10), ehT0Px3KOsy9(chr(132 - 84) + '\157' + chr(50) + chr(0b110100) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000 + 0o147) + chr(0b101010 + 0o11) + chr(0b10001 + 0o42) + chr(0b100001 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(596 - 548) + chr(111) + chr(0b110011) + chr(48) + chr(0b110001), 17541 - 17533), ehT0Px3KOsy9(chr(1607 - 1559) + '\x6f' + '\062' + '\x36' + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100101 + 0o14) + chr(54) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(1763 - 1715) + '\x6f' + chr(0b100010 + 0o20) + '\x31' + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b1001 + 0o50) + chr(0b10110 + 0o37), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b110 + 0o61) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b110110) + chr(308 - 260), 0o10), ehT0Px3KOsy9(chr(2255 - 2207) + chr(111) + '\x31' + '\066' + '\067', 62573 - 62565), ehT0Px3KOsy9('\060' + chr(4559 - 4448) + '\x35' + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(1170 - 1120) + chr(477 - 425), 55692 - 55684), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(1079 - 1029) + chr(0b101111 + 0o4) + '\x34', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(1422 - 1371) + chr(2904 - 2850) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(53) + chr(0b10110 + 0o35), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101101 + 0o102) + '\063' + chr(2216 - 2166) + '\065', 1794 - 1786), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\x32' + chr(48), 20280 - 20272), ehT0Px3KOsy9('\060' + chr(0b1011111 + 0o20) + chr(49) + chr(0b100100 + 0o21), 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + '\x31' + chr(54) + chr(0b110111), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(54) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\066' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2838 - 2784), 8), ehT0Px3KOsy9(chr(1124 - 1076) + chr(10874 - 10763) + '\061' + chr(742 - 687) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(0b110111), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + '\x35' + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0'), '\x64' + chr(166 - 65) + chr(99) + '\x6f' + chr(3191 - 3091) + chr(0b1100101))(chr(0b1110101) + chr(116) + '\x66' + chr(643 - 598) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def r0N7gEhU8CgT():
if not xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7Wb\x94\x9e'), chr(2486 - 2386) + chr(101) + chr(99) + chr(0b1101111) + chr(3654 - 3554) + chr(0b1100101))(chr(13650 - 13533) + '\x74' + chr(102) + chr(0b10000 + 0o35) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfaEr\x9c\xc3'), chr(231 - 131) + chr(4516 - 4415) + '\143' + chr(0b1101111) + '\144' + chr(0b101111 + 0o66))('\x75' + '\x74' + chr(102) + '\055' + chr(380 - 324))):
xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'\xed]u\x89\x89\xf9'), chr(0b1000000 + 0o44) + chr(0b1100101) + chr(8286 - 8187) + chr(3218 - 3107) + '\x64' + chr(3674 - 3573))(chr(117) + chr(0b1100110 + 0o16) + chr(0b1100110) + chr(829 - 784) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3Ob\x94\x9e\xb4a\xa5\xda\x1a\x01'), chr(0b1100100) + chr(9174 - 9073) + '\x63' + chr(10526 - 10415) + chr(0b110010 + 0o62) + chr(0b110 + 0o137))(chr(0b100100 + 0o121) + '\x74' + '\x66' + '\055' + chr(0b11001 + 0o37)))
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|
apache/incubator-mxnet
|
example/cnn_chinese_text_classification/data_helpers.py
|
load_data_and_labels
|
def load_data_and_labels():
"""Loads MR polarity data from files, splits the data into words and generates labels.
Returns split sentences and labels.
"""
# download dataset
get_chinese_text()
# Load data from files
positive_examples = list(codecs.open("./data/pos.txt", "r", "utf-8").readlines())
positive_examples = [s.strip() for s in positive_examples]
positive_examples = [pe for pe in positive_examples if len(pe) < 100]
negative_examples = list(codecs.open("./data/neg.txt", "r", "utf-8").readlines())
negative_examples = [s.strip() for s in negative_examples]
negative_examples = [ne for ne in negative_examples if len(ne) < 100]
# Split by words
x_text = positive_examples + negative_examples
# x_text = [clean_str(sent) for sent in x_text]
x_text = [list(s) for s in x_text]
# Generate labels
positive_labels = [[0, 1] for _ in positive_examples]
negative_labels = [[1, 0] for _ in negative_examples]
y = np.concatenate([positive_labels, negative_labels], 0)
return [x_text, y]
|
python
|
def load_data_and_labels():
"""Loads MR polarity data from files, splits the data into words and generates labels.
Returns split sentences and labels.
"""
# download dataset
get_chinese_text()
# Load data from files
positive_examples = list(codecs.open("./data/pos.txt", "r", "utf-8").readlines())
positive_examples = [s.strip() for s in positive_examples]
positive_examples = [pe for pe in positive_examples if len(pe) < 100]
negative_examples = list(codecs.open("./data/neg.txt", "r", "utf-8").readlines())
negative_examples = [s.strip() for s in negative_examples]
negative_examples = [ne for ne in negative_examples if len(ne) < 100]
# Split by words
x_text = positive_examples + negative_examples
# x_text = [clean_str(sent) for sent in x_text]
x_text = [list(s) for s in x_text]
# Generate labels
positive_labels = [[0, 1] for _ in positive_examples]
negative_labels = [[1, 0] for _ in negative_examples]
y = np.concatenate([positive_labels, negative_labels], 0)
return [x_text, y]
|
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|
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/cnn_chinese_text_classification/data_helpers.py#L64-L87
|
train
|
Loads MR polarity data from files splits the data into words and generates labels.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(197 - 149) + chr(0b101111 + 0o100) + '\x31' + chr(54) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110110) + chr(0b101101 + 0o6), 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + '\x32' + chr(50) + chr(53), 54317 - 54309), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\065' + chr(0b1010 + 0o50), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\x33' + '\x31', 0b1000), ehT0Px3KOsy9(chr(2145 - 2097) + chr(111) + chr(53) + chr(49), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(369 - 318) + chr(0b101010 + 0o12), 0o10), ehT0Px3KOsy9(chr(1423 - 1375) + chr(0b100011 + 0o114) + '\063' + chr(1569 - 1521) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100000 + 0o17) + chr(0b110111) + chr(1763 - 1709), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100100 + 0o113) + chr(700 - 649) + '\060' + '\067', 8), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b100 + 0o153) + '\062' + '\062', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(55) + chr(0b100 + 0o61), 14747 - 14739), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(1678 - 1626) + chr(48), 4506 - 4498), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2260 - 2205), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101 + 0o142) + chr(2433 - 2383) + '\067' + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000 + 0o147) + chr(2559 - 2508) + '\065' + chr(2761 - 2707), 30520 - 30512), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + chr(0b110111) + chr(0b110010), 62115 - 62107), ehT0Px3KOsy9(chr(1956 - 1908) + '\157' + chr(1469 - 1418) + chr(0b110000) + chr(1894 - 1841), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1860 - 1810) + '\x33' + chr(393 - 343), 50574 - 50566), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b11011 + 0o27) + chr(0b10101 + 0o40), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b100010 + 0o17), 0b1000), ehT0Px3KOsy9(chr(48) + chr(6104 - 5993) + chr(50) + chr(49) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + '\063' + '\x33' + chr(0b110000), 60664 - 60656), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110100) + chr(0b110010 + 0o0), 55057 - 55049), ehT0Px3KOsy9(chr(245 - 197) + '\157' + '\061' + chr(1574 - 1523), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111010 + 0o65) + chr(0b100110 + 0o14) + chr(0b1110 + 0o44) + chr(2027 - 1977), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x36' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110111) + '\064', 42863 - 42855), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(51) + chr(0b100100 + 0o14) + chr(2782 - 2729), 8), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(52) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\x32' + chr(0b11000 + 0o36), ord("\x08")), ehT0Px3KOsy9(chr(1051 - 1003) + chr(111) + chr(49) + chr(1845 - 1794) + chr(0b110000), 60988 - 60980), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11111 + 0o24) + chr(0b110111) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1111 + 0o41), 48934 - 48926), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1219 - 1168) + chr(54) + '\x30', 55110 - 55102), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(49) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1100 + 0o46) + chr(584 - 536) + '\x32', 16279 - 16271), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11000 + 0o33) + chr(0b110011) + '\064', 8), ehT0Px3KOsy9('\060' + chr(0b1001 + 0o146) + chr(0b10010 + 0o40) + chr(1478 - 1429) + chr(52), 8), ehT0Px3KOsy9(chr(1687 - 1639) + chr(0b1101111) + chr(762 - 712) + '\064' + '\064', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(2728 - 2617) + chr(0b110101) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'Y'), '\144' + '\145' + '\x63' + chr(111) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(116) + chr(0b1100110) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZItQjhxneTqV():
r0N7gEhU8CgT()
M5fhU4GcIEaR = YyaZ4tpXu4lf(aABRNn2PDIOX.open(xafqLlk3kkUe(SXOLrMavuUCe(b'Y\x1c\xf1\xcb\xadH\xf3\xb7Q\xb4<\x89\x98s'), '\x64' + chr(101) + chr(0b1100 + 0o127) + chr(7095 - 6984) + chr(0b11110 + 0o106) + chr(0b1010010 + 0o23))(chr(0b1001111 + 0o46) + '\x74' + chr(0b1100110) + '\055' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x05'), chr(100) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b1000111 + 0o35) + '\x65')(chr(117) + '\164' + chr(102) + chr(0b10011 + 0o32) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x02G\xf3\x87\xe1'), chr(0b1011110 + 0o6) + chr(0b1100101) + chr(99) + chr(0b1001000 + 0o47) + chr(0b111000 + 0o54) + chr(101))(chr(1557 - 1440) + chr(9962 - 9846) + '\146' + '\x2d' + chr(0b111000))).readlines())
M5fhU4GcIEaR = [vGrByMSYMp9h.VmIJF6Fy6LrX() for vGrByMSYMp9h in M5fhU4GcIEaR]
M5fhU4GcIEaR = [VZIxVAglhfjn for VZIxVAglhfjn in M5fhU4GcIEaR if c2A0yzQpDQB3(VZIxVAglhfjn) < ehT0Px3KOsy9('\060' + chr(0b1000001 + 0o56) + chr(0b110001) + chr(0b110100) + '\x34', 0b1000)]
v4QuVee2gfWP = YyaZ4tpXu4lf(aABRNn2PDIOX.open(xafqLlk3kkUe(SXOLrMavuUCe(b'Y\x1c\xf1\xcb\xadH\xf3\xa9[\xa0<\x89\x98s'), chr(100) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b101101 + 0o67) + '\x65')(chr(0b101001 + 0o114) + chr(116) + chr(102) + chr(1328 - 1283) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x05'), chr(5146 - 5046) + '\145' + chr(3451 - 3352) + chr(0b111010 + 0o65) + chr(9713 - 9613) + '\x65')(chr(0b101000 + 0o115) + chr(7127 - 7011) + '\x66' + chr(0b101101) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x02G\xf3\x87\xe1'), '\144' + chr(0b1001110 + 0o27) + chr(3431 - 3332) + '\x6f' + chr(2534 - 2434) + chr(7382 - 7281))(chr(0b1110101) + '\x74' + '\146' + '\x2d' + '\070')).readlines())
v4QuVee2gfWP = [vGrByMSYMp9h.VmIJF6Fy6LrX() for vGrByMSYMp9h in v4QuVee2gfWP]
v4QuVee2gfWP = [vbq2W2Itc9d1 for vbq2W2Itc9d1 in v4QuVee2gfWP if c2A0yzQpDQB3(vbq2W2Itc9d1) < ehT0Px3KOsy9('\x30' + chr(0b100011 + 0o114) + chr(0b110 + 0o53) + '\x34' + '\064', 8)]
rNURuKjsXzNz = M5fhU4GcIEaR + v4QuVee2gfWP
rNURuKjsXzNz = [YyaZ4tpXu4lf(vGrByMSYMp9h) for vGrByMSYMp9h in rNURuKjsXzNz]
XjMnyY1dP00m = [[ehT0Px3KOsy9(chr(0b110000) + '\157' + '\060', 8), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1001110 + 0o41) + chr(49), 623 - 615)] for VNGQdHSFPrso in M5fhU4GcIEaR]
O0mgT90UAAjO = [[ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + chr(0b10011 + 0o36), 8), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + '\x30', 8)] for VNGQdHSFPrso in v4QuVee2gfWP]
SqiSOtYOqOJH = WqUC3KWvYVup.concatenate([XjMnyY1dP00m, O0mgT90UAAjO], ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1878 - 1830), 8))
return [rNURuKjsXzNz, SqiSOtYOqOJH]
|
apache/incubator-mxnet
|
example/ssd/train/metric.py
|
MultiBoxMetric.reset
|
def reset(self):
"""
override reset behavior
"""
if getattr(self, 'num', None) is None:
self.num_inst = 0
self.sum_metric = 0.0
else:
self.num_inst = [0] * self.num
self.sum_metric = [0.0] * self.num
|
python
|
def reset(self):
"""
override reset behavior
"""
if getattr(self, 'num', None) is None:
self.num_inst = 0
self.sum_metric = 0.0
else:
self.num_inst = [0] * self.num
self.sum_metric = [0.0] * self.num
|
[
"def",
"reset",
"(",
"self",
")",
":",
"if",
"getattr",
"(",
"self",
",",
"'num'",
",",
"None",
")",
"is",
"None",
":",
"self",
".",
"num_inst",
"=",
"0",
"self",
".",
"sum_metric",
"=",
"0.0",
"else",
":",
"self",
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"num_inst",
"=",
"[",
"0",
"]",
"*",
"self",
".",
"num",
"self",
".",
"sum_metric",
"=",
"[",
"0.0",
"]",
"*",
"self",
".",
"num"
] |
override reset behavior
|
[
"override",
"reset",
"behavior"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/train/metric.py#L31-L40
|
train
|
reset the internal state of the object to 0
|
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(170 - 122) + chr(6672 - 6561) + '\x33' + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(95 - 44) + '\066', 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(1485 - 1433) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(641 - 590) + chr(0b110100) + chr(0b110101), 44003 - 43995), ehT0Px3KOsy9('\x30' + chr(0b1100 + 0o143) + '\063' + chr(707 - 656) + '\x36', 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(2664 - 2609) + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(0b101011 + 0o104) + chr(536 - 485) + chr(0b10000 + 0o41) + chr(1332 - 1279), ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(1654 - 1543) + chr(49) + chr(55) + chr(0b11010 + 0o32), 8), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(53) + chr(1866 - 1817), 61417 - 61409), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(53) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(0b110110) + chr(0b100101 + 0o22), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110111) + chr(0b111 + 0o56), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2315 - 2266) + chr(0b110010) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(616 - 567) + chr(0b1010 + 0o53) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(1602 - 1491) + chr(0b11000 + 0o32) + chr(0b11 + 0o57) + chr(0b110010), 13899 - 13891), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + '\063' + chr(50) + chr(0b100 + 0o54), 0o10), ehT0Px3KOsy9('\060' + chr(8308 - 8197) + '\067' + chr(51), 29995 - 29987), ehT0Px3KOsy9('\x30' + chr(0b1011110 + 0o21) + '\063' + '\061' + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1000 + 0o51) + chr(769 - 716) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11100 + 0o25) + '\x35' + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b100101 + 0o112) + '\062' + '\x33' + chr(0b10110 + 0o34), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b110000) + '\062', 12150 - 12142), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1568 - 1515), 0b1000), ehT0Px3KOsy9(chr(1445 - 1397) + '\157' + chr(1965 - 1912) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4631 - 4520) + '\x32' + chr(0b110001 + 0o1) + chr(0b110000 + 0o0), 39119 - 39111), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1011 + 0o50) + chr(0b100110 + 0o15) + '\x35', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\060' + chr(1022 - 972), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011010 + 0o25) + chr(0b110010) + '\063' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(2064 - 2010) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1139 - 1090) + '\x35' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(903 - 855) + '\157' + chr(477 - 427) + chr(0b110010) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1517 - 1465) + chr(1152 - 1100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7605 - 7494) + chr(0b110011) + '\063' + '\062', 14081 - 14073), ehT0Px3KOsy9('\060' + '\x6f' + chr(355 - 300) + chr(0b10111 + 0o32), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + '\061' + '\066' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(873 - 825) + chr(111) + chr(302 - 252) + '\x35' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11011 + 0o124) + '\062' + chr(49) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(1588 - 1540) + '\157' + chr(51) + chr(0b100010 + 0o25) + chr(711 - 659), 0o10), ehT0Px3KOsy9('\060' + chr(0b10101 + 0o132) + '\061' + '\064' + '\060', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + chr(53) + chr(0b1100 + 0o44), 10436 - 10428)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'2'), '\x64' + chr(0b1001010 + 0o33) + chr(0b1100011) + chr(0b1101111) + chr(5888 - 5788) + chr(0b1010010 + 0o23))('\x75' + '\x74' + '\x66' + chr(0b101101) + chr(0b10011 + 0o45)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def G0V856pwkJmZ(oVre8I6UXc3b):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'r\xabN'), '\144' + chr(0b111101 + 0o50) + '\143' + chr(6754 - 6643) + '\x64' + '\x65')(chr(117) + '\x74' + '\x66' + '\x2d' + chr(1287 - 1231)), None) is None:
oVre8I6UXc3b._cdA_ca5MiLS = ehT0Px3KOsy9(chr(48) + chr(2906 - 2795) + chr(0b110000), 65213 - 65205)
oVre8I6UXc3b.jGUwTiF22LVj = 0.0
else:
oVre8I6UXc3b._cdA_ca5MiLS = [ehT0Px3KOsy9('\060' + chr(111) + chr(0b11011 + 0o25), 8)] * oVre8I6UXc3b.num
oVre8I6UXc3b.jGUwTiF22LVj = [0.0] * oVre8I6UXc3b.num
|
apache/incubator-mxnet
|
example/ssd/train/metric.py
|
MultiBoxMetric.reset_local
|
def reset_local(self):
"""
override reset behavior
"""
if getattr(self, 'num', None) is None:
self.num_inst = 0
self.sum_metric = 0.0
else:
self.num_inst = [0] * self.num
self.sum_metric = [0.0] * self.num
|
python
|
def reset_local(self):
"""
override reset behavior
"""
if getattr(self, 'num', None) is None:
self.num_inst = 0
self.sum_metric = 0.0
else:
self.num_inst = [0] * self.num
self.sum_metric = [0.0] * self.num
|
[
"def",
"reset_local",
"(",
"self",
")",
":",
"if",
"getattr",
"(",
"self",
",",
"'num'",
",",
"None",
")",
"is",
"None",
":",
"self",
".",
"num_inst",
"=",
"0",
"self",
".",
"sum_metric",
"=",
"0.0",
"else",
":",
"self",
".",
"num_inst",
"=",
"[",
"0",
"]",
"*",
"self",
".",
"num",
"self",
".",
"sum_metric",
"=",
"[",
"0.0",
"]",
"*",
"self",
".",
"num"
] |
override reset behavior
|
[
"override",
"reset",
"behavior"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/train/metric.py#L42-L51
|
train
|
reset the local state of the object
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + '\063' + '\x34' + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(0b10011 + 0o40) + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3072 - 2961) + chr(1685 - 1634) + '\x32' + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1010 + 0o50) + chr(0b1111 + 0o47) + chr(837 - 787), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + chr(1857 - 1808) + chr(0b11001 + 0o32) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(50) + chr(0b110000 + 0o3), 52227 - 52219), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + '\x33' + '\062' + chr(49), 0b1000), ehT0Px3KOsy9(chr(1011 - 963) + chr(0b1101111) + chr(1348 - 1293) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(2092 - 2042) + chr(0b110100) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(53) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(9879 - 9768) + chr(0b110010) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(2414 - 2363) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(9850 - 9739) + '\x33' + '\063' + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(4767 - 4656) + '\x31' + '\064' + chr(0b100101 + 0o13), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9750 - 9639) + chr(2086 - 2037) + chr(0b10111 + 0o33) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(0b100000 + 0o117) + chr(53) + chr(55), 14982 - 14974), ehT0Px3KOsy9(chr(863 - 815) + chr(111) + '\061' + chr(0b110000) + chr(51), 15909 - 15901), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b110011) + '\067', 0o10), ehT0Px3KOsy9(chr(1282 - 1234) + chr(11177 - 11066) + chr(50) + chr(0b1101 + 0o46), 0o10), ehT0Px3KOsy9('\060' + chr(0b10001 + 0o136) + '\x33' + chr(350 - 301) + chr(0b11110 + 0o22), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10100 + 0o36) + chr(49) + '\x35', 63076 - 63068), ehT0Px3KOsy9(chr(0b110000) + chr(0b10111 + 0o130) + '\061' + '\061' + chr(0b10100 + 0o37), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101101 + 0o4) + '\067' + '\062', 0b1000), ehT0Px3KOsy9(chr(645 - 597) + chr(0b1101111) + chr(991 - 940) + '\x33' + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11010 + 0o31) + '\067' + '\061', 30030 - 30022), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + chr(1524 - 1471) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1010000 + 0o37) + chr(50) + chr(51) + chr(1552 - 1497), 8), ehT0Px3KOsy9(chr(1101 - 1053) + '\x6f' + chr(50) + '\x33' + chr(2325 - 2270), 8), ehT0Px3KOsy9(chr(2299 - 2251) + chr(4051 - 3940) + chr(49) + chr(1768 - 1719), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100001 + 0o16) + chr(49) + '\x30' + chr(2239 - 2186), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(0b110101) + chr(0b101 + 0o61), 0b1000), ehT0Px3KOsy9('\060' + chr(10983 - 10872) + '\x32' + chr(0b100 + 0o54) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + '\x32' + chr(0b110110) + chr(0b1000 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101101 + 0o2) + chr(1666 - 1615) + '\065' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100111 + 0o10) + chr(1810 - 1761) + '\x35' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(49) + chr(0b100000 + 0o20) + '\x35', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10011 + 0o36) + chr(0b101000 + 0o10) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\x37' + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100110 + 0o11) + chr(0b10000 + 0o46) + '\060', 39456 - 39448), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011 + 0o0) + chr(49) + '\x36', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(11575 - 11464) + '\x35' + '\x30', 6058 - 6050)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf'), chr(0b100001 + 0o103) + chr(0b1100101) + chr(0b110111 + 0o54) + chr(111) + '\144' + chr(0b1100101))(chr(0b1110101) + '\164' + '\x66' + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def RUsWMAAZMBpj(oVre8I6UXc3b):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xee\xb8'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(0b10010 + 0o135) + chr(100) + '\145')('\165' + chr(0b1101010 + 0o12) + '\146' + chr(45) + '\x38'), None) is None:
oVre8I6UXc3b._cdA_ca5MiLS = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\060', 37606 - 37598)
oVre8I6UXc3b.jGUwTiF22LVj = 0.0
else:
oVre8I6UXc3b._cdA_ca5MiLS = [ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101101 + 0o3), 8)] * oVre8I6UXc3b.num
oVre8I6UXc3b.jGUwTiF22LVj = [0.0] * oVre8I6UXc3b.num
|
apache/incubator-mxnet
|
example/ssd/train/metric.py
|
MultiBoxMetric.update
|
def update(self, labels, preds):
"""
Implementation of updating metrics
"""
# get generated multi label from network
cls_prob = preds[0].asnumpy()
loc_loss = preds[1].asnumpy()
cls_label = preds[2].asnumpy()
valid_count = np.sum(cls_label >= 0)
# overall accuracy & object accuracy
label = cls_label.flatten()
mask = np.where(label >= 0)[0]
indices = np.int64(label[mask])
prob = cls_prob.transpose((0, 2, 1)).reshape((-1, cls_prob.shape[1]))
prob = prob[mask, indices]
self.sum_metric[0] += (-np.log(prob + self.eps)).sum()
self.num_inst[0] += valid_count
# smoothl1loss
self.sum_metric[1] += np.sum(loc_loss)
self.num_inst[1] += valid_count
|
python
|
def update(self, labels, preds):
"""
Implementation of updating metrics
"""
# get generated multi label from network
cls_prob = preds[0].asnumpy()
loc_loss = preds[1].asnumpy()
cls_label = preds[2].asnumpy()
valid_count = np.sum(cls_label >= 0)
# overall accuracy & object accuracy
label = cls_label.flatten()
mask = np.where(label >= 0)[0]
indices = np.int64(label[mask])
prob = cls_prob.transpose((0, 2, 1)).reshape((-1, cls_prob.shape[1]))
prob = prob[mask, indices]
self.sum_metric[0] += (-np.log(prob + self.eps)).sum()
self.num_inst[0] += valid_count
# smoothl1loss
self.sum_metric[1] += np.sum(loc_loss)
self.num_inst[1] += valid_count
|
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] |
Implementation of updating metrics
|
[
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/train/metric.py#L53-L72
|
train
|
Implementation of updating metrics
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101 + 0o142) + '\062' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100101 + 0o12) + chr(50) + '\062' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(3244 - 3133) + chr(0b101001 + 0o11) + '\067' + chr(0b101000 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(1889 - 1841) + chr(111) + '\062' + chr(0b11001 + 0o27) + '\x30', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(874 - 821) + chr(52), 25027 - 25019), ehT0Px3KOsy9('\060' + chr(0b11 + 0o154) + chr(142 - 91) + chr(0b100011 + 0o17) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(2577 - 2466) + '\x31' + chr(0b110010) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1 + 0o60) + chr(54) + '\x30', 27130 - 27122), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\x30' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11111 + 0o120) + chr(2011 - 1961) + '\062' + chr(0b10111 + 0o32), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(2059 - 2008) + '\x37', 0b1000), ehT0Px3KOsy9(chr(2022 - 1974) + chr(572 - 461) + chr(809 - 759) + chr(444 - 392) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b110111) + chr(0b110101), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + '\x35' + '\065', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(0b110011) + chr(2701 - 2647), 1202 - 1194), ehT0Px3KOsy9(chr(48) + chr(0b1101111 + 0o0) + chr(1767 - 1717) + '\x34' + '\060', 24349 - 24341), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101110 + 0o1) + chr(0b110010) + chr(0b11100 + 0o30) + '\x31', 8), ehT0Px3KOsy9(chr(48) + chr(10779 - 10668) + chr(55) + chr(55), 26430 - 26422), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(0b100110 + 0o13) + '\x33' + chr(1215 - 1164), 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(0b110011) + chr(0b10111 + 0o37) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10101 + 0o132) + '\x31' + chr(53) + chr(0b100101 + 0o22), 33561 - 33553), ehT0Px3KOsy9(chr(1677 - 1629) + '\x6f' + chr(2588 - 2537) + '\x33' + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010 + 0o145) + '\x35' + chr(0b1011 + 0o46), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x35', 27233 - 27225), ehT0Px3KOsy9('\060' + '\x6f' + chr(472 - 423) + chr(55) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b110000) + chr(0b110101), 1722 - 1714), ehT0Px3KOsy9(chr(0b110000) + chr(6416 - 6305) + chr(0b11 + 0o56) + '\x37' + chr(48), 28666 - 28658), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1213 - 1163) + chr(0b110011) + '\061', 0b1000), ehT0Px3KOsy9(chr(1630 - 1582) + chr(0b1101111) + '\062' + chr(0b110001) + chr(0b1100 + 0o47), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(1622 - 1571) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1858 - 1808) + chr(1180 - 1129) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(1266 - 1218) + '\x6f' + chr(50) + chr(0b1100 + 0o50) + chr(55), 48266 - 48258), ehT0Px3KOsy9('\x30' + chr(10269 - 10158) + chr(0b110001 + 0o2) + '\063' + '\060', 8), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + '\x32' + chr(0b110011) + '\x32', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(2163 - 2108), 0b1000), ehT0Px3KOsy9(chr(1699 - 1651) + '\x6f' + chr(0b110 + 0o55) + chr(0b10010 + 0o43) + chr(862 - 813), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10 + 0o60) + chr(2764 - 2709) + chr(730 - 680), 0o10), ehT0Px3KOsy9('\060' + chr(1454 - 1343) + '\x32' + chr(0b101000 + 0o13) + '\060', 8), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1001011 + 0o44) + chr(0b11101 + 0o26) + chr(670 - 619) + '\x31', 7170 - 7162), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\x36' + chr(0b11001 + 0o34), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + '\x35' + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'?'), chr(3638 - 3538) + '\145' + chr(8928 - 8829) + chr(0b1101111) + chr(0b1100100) + chr(0b1011110 + 0o7))(chr(0b1110101) + chr(3597 - 3481) + chr(0b1100110) + chr(0b101101) + chr(2138 - 2082)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZtAEiNJny4e0(oVre8I6UXc3b, uXMK81tmdpTM, rFir39ju85_Z):
TvYGbS1b1DAQ = rFir39ju85_Z[ehT0Px3KOsy9('\060' + chr(0b111101 + 0o62) + '\x30', 0b1000)].asnumpy()
ZnhkLgDOWWHc = rFir39ju85_Z[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001), 0o10)].asnumpy()
lNTbLNUt6ktU = rFir39ju85_Z[ehT0Px3KOsy9(chr(48) + '\157' + chr(986 - 936), 0b1000)].asnumpy()
JxzAnTJTgb88 = WqUC3KWvYVup.xkxBmo49x2An(lNTbLNUt6ktU >= ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100011 + 0o15), 8))
TRUOLFLuD08x = lNTbLNUt6ktU.dbBtynT6oMgz()
Iz1jSgUKZDvt = WqUC3KWvYVup.dRFAC59yQBm_(TRUOLFLuD08x >= ehT0Px3KOsy9(chr(48) + chr(0b1101111 + 0o0) + chr(0b11111 + 0o21), 8))[ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(508 - 460), 8)]
pIcoaXENl5Pw = WqUC3KWvYVup.int64(TRUOLFLuD08x[Iz1jSgUKZDvt])
EmFjc7khMaAc = TvYGbS1b1DAQ.transpose((ehT0Px3KOsy9('\060' + chr(111) + chr(0b101111 + 0o1), 8), ehT0Px3KOsy9('\060' + chr(111) + '\062', 8), ehT0Px3KOsy9(chr(48) + '\157' + '\061', 8))).reshape((-ehT0Px3KOsy9(chr(48) + chr(9454 - 9343) + '\x31', 8), TvYGbS1b1DAQ.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(49), 8)]))
EmFjc7khMaAc = EmFjc7khMaAc[Iz1jSgUKZDvt, pIcoaXENl5Pw]
oVre8I6UXc3b.jGUwTiF22LVj[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(48), 8)] += (-WqUC3KWvYVup.log(EmFjc7khMaAc + oVre8I6UXc3b.eps)).xkxBmo49x2An()
oVre8I6UXc3b._cdA_ca5MiLS[ehT0Px3KOsy9(chr(716 - 668) + chr(111) + chr(48), 8)] += JxzAnTJTgb88
oVre8I6UXc3b.jGUwTiF22LVj[ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49), 8)] += WqUC3KWvYVup.xkxBmo49x2An(ZnhkLgDOWWHc)
oVre8I6UXc3b._cdA_ca5MiLS[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001), 8)] += JxzAnTJTgb88
|
apache/incubator-mxnet
|
example/ssd/train/metric.py
|
MultiBoxMetric.get
|
def get(self):
"""Get the current evaluation result.
Override the default behavior
Returns
-------
name : str
Name of the metric.
value : float
Value of the evaluation.
"""
if self.num is None:
if self.num_inst == 0:
return (self.name, float('nan'))
else:
return (self.name, self.sum_metric / self.num_inst)
else:
names = ['%s'%(self.name[i]) for i in range(self.num)]
values = [x / y if y != 0 else float('nan') \
for x, y in zip(self.sum_metric, self.num_inst)]
return (names, values)
|
python
|
def get(self):
"""Get the current evaluation result.
Override the default behavior
Returns
-------
name : str
Name of the metric.
value : float
Value of the evaluation.
"""
if self.num is None:
if self.num_inst == 0:
return (self.name, float('nan'))
else:
return (self.name, self.sum_metric / self.num_inst)
else:
names = ['%s'%(self.name[i]) for i in range(self.num)]
values = [x / y if y != 0 else float('nan') \
for x, y in zip(self.sum_metric, self.num_inst)]
return (names, values)
|
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Get the current evaluation result.
Override the default behavior
Returns
-------
name : str
Name of the metric.
value : float
Value of the evaluation.
|
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/train/metric.py#L74-L94
|
train
|
Get the current evaluation result.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11 + 0o60) + chr(0b101 + 0o62) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001010 + 0o45) + chr(0b100011 + 0o16) + chr(0b110100) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(52) + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10100 + 0o36) + '\066' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11101 + 0o26) + chr(0b1000 + 0o55) + '\x34', 0o10), ehT0Px3KOsy9(chr(933 - 885) + chr(0b1101 + 0o142) + chr(49) + chr(1071 - 1016) + chr(1708 - 1657), 42498 - 42490), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + '\x33' + chr(48) + '\063', 0o10), ehT0Px3KOsy9(chr(753 - 705) + chr(5576 - 5465) + chr(1309 - 1258) + chr(0b11010 + 0o34) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(0b110011) + chr(0b110000) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1232 - 1182) + chr(0b11 + 0o57) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + '\x35' + chr(0b110001), 57659 - 57651), ehT0Px3KOsy9('\x30' + chr(8867 - 8756) + '\x31' + chr(1695 - 1645) + chr(0b11011 + 0o26), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b101100 + 0o6) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111010 + 0o65) + chr(49) + '\065' + chr(1266 - 1213), 0o10), ehT0Px3KOsy9('\060' + chr(3060 - 2949) + '\062' + '\066' + '\067', 8), ehT0Px3KOsy9(chr(743 - 695) + chr(448 - 337) + chr(424 - 369) + chr(53), 27366 - 27358), ehT0Px3KOsy9(chr(2281 - 2233) + chr(0b1101111) + chr(0b0 + 0o62) + chr(0b110100) + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10101 + 0o34) + chr(54) + '\x31', 0b1000), ehT0Px3KOsy9(chr(1254 - 1206) + chr(0b10110 + 0o131) + chr(0b110001) + chr(0b100001 + 0o24) + chr(49), 39135 - 39127), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b110101) + '\064', 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101 + 0o142) + chr(2412 - 2362) + chr(0b10111 + 0o36) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\066' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(1434 - 1386) + '\157' + chr(50) + chr(0b110110) + '\063', 18986 - 18978), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(0b110100) + chr(0b110001), 8), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\x33' + chr(1570 - 1522), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1202 - 1151) + '\x32' + chr(2534 - 2480), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\060' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b10000 + 0o44), 40800 - 40792), ehT0Px3KOsy9('\x30' + chr(0b1010011 + 0o34) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b11 + 0o56) + chr(1486 - 1436), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b100000 + 0o117) + chr(0b10000 + 0o47) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(52) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110101) + chr(2106 - 2054), 0o10), ehT0Px3KOsy9(chr(1501 - 1453) + '\x6f' + chr(49) + '\067' + chr(2330 - 2275), 0o10), ehT0Px3KOsy9(chr(796 - 748) + chr(0b1101111) + chr(0b1111 + 0o43) + chr(2051 - 2003) + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\x35' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(4813 - 4702) + chr(52) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(0b110010) + chr(0b101011 + 0o6) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(0b110011) + chr(1447 - 1397), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(667 - 556) + chr(53) + chr(0b100111 + 0o11), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1'), '\144' + chr(0b1100101) + chr(8406 - 8307) + chr(111) + chr(3600 - 3500) + chr(3244 - 3143))(chr(5222 - 5105) + '\x74' + chr(0b1100110) + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Q8b5UytA0vqH(oVre8I6UXc3b):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x91\x13\r'), '\144' + chr(0b110 + 0o137) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(0b0 + 0o145))(chr(0b1101 + 0o150) + chr(116) + chr(7595 - 7493) + '\055' + chr(331 - 275))) is None:
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0\x05\x04\xf6\xb3\x18\xa2\xc5\x8a\xfd[\xfa'), chr(0b1100100) + chr(101) + '\x63' + chr(111) + chr(0b1000110 + 0o36) + chr(0b101011 + 0o72))(chr(0b1110101) + '\x74' + '\x66' + '\x2d' + chr(56))) == ehT0Px3KOsy9('\060' + chr(8209 - 8098) + chr(1702 - 1654), 39573 - 39565):
return (xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe/\x16\xfd\xbe\x01\x8f\x94\x83\xf2p\xef'), '\x64' + chr(9361 - 9260) + '\143' + chr(0b1101111) + chr(100) + '\x65')(chr(117) + '\164' + '\146' + chr(0b11001 + 0o24) + chr(0b100 + 0o64))), kkSX4ccExqw4(xafqLlk3kkUe(SXOLrMavuUCe(b'\x91\x07\x0e'), '\144' + chr(4555 - 4454) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(101))(chr(117) + chr(116) + chr(5686 - 5584) + chr(0b101101) + chr(786 - 730))))
else:
return (xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe/\x16\xfd\xbe\x01\x8f\x94\x83\xf2p\xef'), '\144' + '\145' + '\x63' + chr(0b1100011 + 0o14) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(116) + chr(0b1100110) + chr(0b11011 + 0o22) + '\x38')), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x95!5\xc0\xb8\x12\x85\xc2\xf5\xd8A\xc3'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(111) + chr(0b1100100) + '\145')(chr(117) + '\x74' + '\x66' + chr(45) + chr(0b11 + 0o65))) / xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0\x05\x04\xf6\xb3\x18\xa2\xc5\x8a\xfd[\xfa'), chr(0b110100 + 0o60) + chr(101) + '\x63' + chr(0b1101101 + 0o2) + chr(100) + chr(101))(chr(0b110111 + 0o76) + chr(0b1110100) + chr(6160 - 6058) + '\x2d' + '\x38')))
else:
OcnR1hZ7pGdr = [xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\x15'), chr(0b1100100 + 0o0) + chr(101) + chr(6902 - 6803) + chr(7626 - 7515) + '\144' + chr(101))(chr(0b1110101) + '\164' + '\x66' + chr(0b101101 + 0o0) + '\070') % oVre8I6UXc3b.AIvJRzLdDfgF[WVxHKyX45z_L] for WVxHKyX45z_L in vQr8gNKaIaWE(oVre8I6UXc3b.num)]
SPnCNu54H1db = [OeWW0F1dBPRQ / SqiSOtYOqOJH if SqiSOtYOqOJH != ehT0Px3KOsy9('\060' + chr(3431 - 3320) + chr(422 - 374), 8) else kkSX4ccExqw4(xafqLlk3kkUe(SXOLrMavuUCe(b'\x91\x07\x0e'), '\144' + chr(0b1100101) + chr(99) + chr(111) + chr(1442 - 1342) + chr(101))(chr(0b1 + 0o164) + chr(116) + chr(102) + chr(0b101101) + '\x38')) for (OeWW0F1dBPRQ, SqiSOtYOqOJH) in pZ0NK2y6HRbn(oVre8I6UXc3b.jGUwTiF22LVj, oVre8I6UXc3b._cdA_ca5MiLS)]
return (OcnR1hZ7pGdr, SPnCNu54H1db)
|
apache/incubator-mxnet
|
example/reinforcement-learning/dqn/operators.py
|
dqn_sym_nips
|
def dqn_sym_nips(action_num, data=None, name='dqn'):
"""Structure of the Deep Q Network in the NIPS 2013 workshop paper:
Playing Atari with Deep Reinforcement Learning (https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf)
Parameters
----------
action_num : int
data : mxnet.sym.Symbol, optional
name : str, optional
"""
if data is None:
net = mx.symbol.Variable('data')
else:
net = data
net = mx.symbol.Convolution(data=net, name='conv1', kernel=(8, 8), stride=(4, 4), num_filter=16)
net = mx.symbol.Activation(data=net, name='relu1', act_type="relu")
net = mx.symbol.Convolution(data=net, name='conv2', kernel=(4, 4), stride=(2, 2), num_filter=32)
net = mx.symbol.Activation(data=net, name='relu2', act_type="relu")
net = mx.symbol.Flatten(data=net)
net = mx.symbol.FullyConnected(data=net, name='fc3', num_hidden=256)
net = mx.symbol.Activation(data=net, name='relu3', act_type="relu")
net = mx.symbol.FullyConnected(data=net, name='fc4', num_hidden=action_num)
net = mx.symbol.Custom(data=net, name=name, op_type='DQNOutput')
return net
|
python
|
def dqn_sym_nips(action_num, data=None, name='dqn'):
"""Structure of the Deep Q Network in the NIPS 2013 workshop paper:
Playing Atari with Deep Reinforcement Learning (https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf)
Parameters
----------
action_num : int
data : mxnet.sym.Symbol, optional
name : str, optional
"""
if data is None:
net = mx.symbol.Variable('data')
else:
net = data
net = mx.symbol.Convolution(data=net, name='conv1', kernel=(8, 8), stride=(4, 4), num_filter=16)
net = mx.symbol.Activation(data=net, name='relu1', act_type="relu")
net = mx.symbol.Convolution(data=net, name='conv2', kernel=(4, 4), stride=(2, 2), num_filter=32)
net = mx.symbol.Activation(data=net, name='relu2', act_type="relu")
net = mx.symbol.Flatten(data=net)
net = mx.symbol.FullyConnected(data=net, name='fc3', num_hidden=256)
net = mx.symbol.Activation(data=net, name='relu3', act_type="relu")
net = mx.symbol.FullyConnected(data=net, name='fc4', num_hidden=action_num)
net = mx.symbol.Custom(data=net, name=name, op_type='DQNOutput')
return net
|
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] |
Structure of the Deep Q Network in the NIPS 2013 workshop paper:
Playing Atari with Deep Reinforcement Learning (https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf)
Parameters
----------
action_num : int
data : mxnet.sym.Symbol, optional
name : str, optional
|
[
"Structure",
"of",
"the",
"Deep",
"Q",
"Network",
"in",
"the",
"NIPS",
"2013",
"workshop",
"paper",
":",
"Playing",
"Atari",
"with",
"Deep",
"Reinforcement",
"Learning",
"(",
"https",
":",
"//",
"www",
".",
"cs",
".",
"toronto",
".",
"edu",
"/",
"~vmnih",
"/",
"docs",
"/",
"dqn",
".",
"pdf",
")"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/reinforcement-learning/dqn/operators.py#L98-L121
|
train
|
Structure of the Deep Q Network in the NIPS 2013 workshop paper
|
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(51) + '\x35' + chr(367 - 314), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8606 - 8495) + chr(0b1101 + 0o44) + chr(55) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(0b111001 + 0o66) + chr(0b101001 + 0o12) + chr(2612 - 2557) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1747 - 1699) + '\x6f' + '\061' + chr(0b110000) + chr(1965 - 1915), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000101 + 0o52) + '\x34' + chr(54), 7122 - 7114), ehT0Px3KOsy9(chr(268 - 220) + chr(0b1101111) + '\x37' + chr(2025 - 1973), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9895 - 9784) + chr(0b1001 + 0o52) + chr(0b100100 + 0o14) + chr(0b110100), 22863 - 22855), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\064' + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(5761 - 5650) + chr(51) + chr(52) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(55) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1887 - 1838) + chr(1454 - 1405) + chr(2285 - 2237), 10659 - 10651), ehT0Px3KOsy9('\x30' + chr(8799 - 8688) + '\x32' + chr(0b110101) + chr(2268 - 2216), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(5559 - 5448) + chr(0b101101 + 0o5) + chr(0b110101) + chr(2557 - 2506), 0o10), ehT0Px3KOsy9('\060' + chr(0b100010 + 0o115) + '\x33' + chr(0b110001) + chr(2407 - 2357), 61147 - 61139), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + '\062' + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11110 + 0o31) + chr(1437 - 1389), 40328 - 40320), ehT0Px3KOsy9(chr(48) + chr(0b111010 + 0o65) + chr(0b11 + 0o56) + '\x37', 58520 - 58512), ehT0Px3KOsy9('\x30' + chr(7000 - 6889) + chr(0b1 + 0o61) + chr(0b110000 + 0o6) + chr(0b11100 + 0o32), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + chr(0b110111) + chr(0b101 + 0o61), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\065' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b100100 + 0o20) + chr(0b10110 + 0o33), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + '\x30' + chr(0b110011 + 0o2), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b101110 + 0o4) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10110 + 0o33) + chr(959 - 907) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001010 + 0o45) + '\063' + '\060' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(0b110101) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(2342 - 2293) + chr(0b10101 + 0o40), 59564 - 59556), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(2128 - 2079) + chr(0b110101), 32515 - 32507), ehT0Px3KOsy9(chr(1276 - 1228) + chr(8574 - 8463) + chr(0b1000 + 0o51) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11101 + 0o25) + '\066' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(7395 - 7284) + chr(0b10010 + 0o40) + '\063' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b110100) + chr(51), 55763 - 55755), ehT0Px3KOsy9(chr(506 - 458) + chr(111) + '\x32' + chr(1828 - 1780) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + '\063' + chr(0b100 + 0o55) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000110 + 0o51) + chr(52) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7927 - 7816) + chr(0b110011) + chr(48) + chr(48), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b110000 + 0o77) + '\x33' + chr(49) + chr(0b1101 + 0o47), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + '\061' + '\x33' + chr(0b110 + 0o55), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(428 - 373) + chr(0b110100), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b110011) + '\066', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065' + chr(0b1001 + 0o47), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3'), chr(9507 - 9407) + '\145' + chr(0b1100011) + chr(8215 - 8104) + chr(3720 - 3620) + chr(0b1100101))('\x75' + chr(0b111 + 0o155) + chr(0b1100110) + chr(0b1110 + 0o37) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def z8L9vs8lfc28(upJvGXmY1oYX, ULnjp6D6efFH=None, AIvJRzLdDfgF=xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\x0e\x91'), '\144' + chr(101) + '\x63' + chr(0b1101111) + chr(100) + '\x65')('\165' + chr(0b111010 + 0o72) + chr(102) + chr(45) + chr(313 - 257))):
if ULnjp6D6efFH is None:
DyzboKL9cczb = CIVheOt0RKQX.symbol.Variable(xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\x1e\x8b#'), chr(0b11000 + 0o114) + chr(0b1100101 + 0o0) + chr(8740 - 8641) + chr(111) + '\144' + '\x65')(chr(117) + chr(116) + chr(0b100101 + 0o101) + chr(0b101101) + chr(0b110 + 0o62)))
else:
DyzboKL9cczb = ULnjp6D6efFH
DyzboKL9cczb = CIVheOt0RKQX.symbol.Convolution(data=DyzboKL9cczb, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\x10\x914\x17'), chr(0b100110 + 0o76) + '\x65' + '\143' + '\157' + chr(0b1100100) + chr(101))(chr(117) + chr(116) + '\x66' + chr(45) + chr(0b111000)), kernel=(ehT0Px3KOsy9('\x30' + chr(0b1100101 + 0o12) + chr(49) + chr(48), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(138 - 89) + chr(483 - 435), 8)), stride=(ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(0b1000 + 0o54), 0b1000), ehT0Px3KOsy9(chr(531 - 483) + chr(0b1101111) + chr(0b10111 + 0o35), 8)), num_filter=ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(48), 0b1000))
DyzboKL9cczb = CIVheOt0RKQX.symbol.Activation(data=DyzboKL9cczb, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x1a\x937\x17'), chr(0b111100 + 0o50) + chr(0b1100101) + chr(0b1011000 + 0o13) + '\x6f' + chr(0b1100100) + chr(0b1100001 + 0o4))(chr(117) + chr(8125 - 8009) + chr(0b1000010 + 0o44) + chr(0b11011 + 0o22) + chr(56)), act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x1a\x937'), chr(100) + chr(0b1100101) + '\x63' + chr(0b1011110 + 0o21) + chr(3888 - 3788) + '\145')(chr(117) + '\x74' + chr(4991 - 4889) + chr(45) + '\x38'))
DyzboKL9cczb = CIVheOt0RKQX.symbol.Convolution(data=DyzboKL9cczb, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\x10\x914\x14'), '\x64' + chr(0b101 + 0o140) + chr(1868 - 1769) + chr(0b1101111) + '\144' + chr(0b111010 + 0o53))(chr(117) + chr(11019 - 10903) + chr(0b1100110) + chr(0b101 + 0o50) + chr(0b111000)), kernel=(ehT0Px3KOsy9(chr(48) + chr(0b1001011 + 0o44) + chr(453 - 401), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b111 + 0o55), 8)), stride=(ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + chr(50), 0b1000), ehT0Px3KOsy9(chr(1757 - 1709) + chr(9789 - 9678) + chr(1392 - 1342), 8)), num_filter=ehT0Px3KOsy9(chr(978 - 930) + chr(111) + chr(52) + chr(48), 8))
DyzboKL9cczb = CIVheOt0RKQX.symbol.Activation(data=DyzboKL9cczb, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x1a\x937\x14'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b111001 + 0o66) + '\144' + '\x65')(chr(7816 - 7699) + chr(12029 - 11913) + '\146' + chr(45) + chr(56)), act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x1a\x937'), '\144' + chr(101) + chr(0b1001110 + 0o25) + chr(1844 - 1733) + chr(0b10000 + 0o124) + chr(101))('\x75' + chr(0b1110100) + chr(6029 - 5927) + '\x2d' + '\070'))
DyzboKL9cczb = CIVheOt0RKQX.symbol.Flatten(data=DyzboKL9cczb)
DyzboKL9cczb = CIVheOt0RKQX.symbol.FullyConnected(data=DyzboKL9cczb, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\x1c\xcc'), '\x64' + '\x65' + chr(0b1010101 + 0o16) + chr(0b11010 + 0o125) + chr(9420 - 9320) + chr(7891 - 7790))(chr(0b1110101) + chr(0b1011010 + 0o32) + '\x66' + chr(1477 - 1432) + chr(0b111000)), num_hidden=ehT0Px3KOsy9('\x30' + chr(0b10010 + 0o135) + chr(0b100011 + 0o21) + chr(0b110000) + chr(0b110000), ord("\x08")))
DyzboKL9cczb = CIVheOt0RKQX.symbol.Activation(data=DyzboKL9cczb, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x1a\x937\x15'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b111001 + 0o66) + '\144' + chr(0b110011 + 0o62))(chr(12189 - 12072) + '\164' + chr(0b1001010 + 0o34) + '\x2d' + '\x38'), act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x1a\x937'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(7544 - 7433) + chr(0b11000 + 0o114) + chr(101))(chr(117) + chr(12417 - 12301) + chr(0b1100110) + chr(405 - 360) + chr(0b111000)))
DyzboKL9cczb = CIVheOt0RKQX.symbol.FullyConnected(data=DyzboKL9cczb, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\x1c\xcb'), '\144' + '\145' + '\143' + chr(0b101100 + 0o103) + chr(3207 - 3107) + chr(5114 - 5013))(chr(0b1110101) + chr(0b111100 + 0o70) + chr(0b1100110) + chr(0b101101) + '\070'), num_hidden=upJvGXmY1oYX)
DyzboKL9cczb = CIVheOt0RKQX.symbol.Custom(data=DyzboKL9cczb, name=AIvJRzLdDfgF, op_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9.\xb1\rSH\xb4\xd3\x95'), chr(0b1100100) + '\145' + chr(99) + chr(0b11101 + 0o122) + '\144' + '\145')(chr(117) + chr(552 - 436) + '\146' + chr(0b101101) + chr(0b111000)))
return DyzboKL9cczb
|
apache/incubator-mxnet
|
python/mxnet/executor.py
|
_monitor_callback_wrapper
|
def _monitor_callback_wrapper(callback):
"""A wrapper for the user-defined handle."""
def callback_handle(name, array, _):
""" ctypes function """
callback(name, array)
return callback_handle
|
python
|
def _monitor_callback_wrapper(callback):
"""A wrapper for the user-defined handle."""
def callback_handle(name, array, _):
""" ctypes function """
callback(name, array)
return callback_handle
|
[
"def",
"_monitor_callback_wrapper",
"(",
"callback",
")",
":",
"def",
"callback_handle",
"(",
"name",
",",
"array",
",",
"_",
")",
":",
"\"\"\" ctypes function \"\"\"",
"callback",
"(",
"name",
",",
"array",
")",
"return",
"callback_handle"
] |
A wrapper for the user-defined handle.
|
[
"A",
"wrapper",
"for",
"the",
"user",
"-",
"defined",
"handle",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/executor.py#L38-L43
|
train
|
A wrapper for the user - defined callback 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(1095 - 1047) + chr(453 - 342) + chr(1331 - 1278) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + '\061' + chr(0b110000) + '\x34', 5394 - 5386), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + chr(53) + '\060', 63112 - 63104), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100010 + 0o21) + chr(53) + '\x37', 62631 - 62623), ehT0Px3KOsy9(chr(48) + chr(111) + '\067' + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b110001) + chr(0b1110 + 0o45), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(51) + chr(63 - 11), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(0b11100 + 0o26) + chr(0b110011) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10101 + 0o34) + chr(1147 - 1094) + chr(1041 - 992), 8048 - 8040), ehT0Px3KOsy9('\060' + chr(111) + chr(979 - 928) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1131 - 1083) + chr(0b1101111) + chr(49) + chr(723 - 668) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(0b110001) + chr(1791 - 1743) + chr(1948 - 1896), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100100 + 0o15) + chr(0b110110) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + '\061' + chr(0b100010 + 0o25), 0o10), ehT0Px3KOsy9(chr(2081 - 2033) + chr(111) + '\063' + chr(1020 - 972) + chr(1309 - 1255), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101100 + 0o6) + chr(55) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + chr(0b11001 + 0o30) + chr(0b110101) + chr(0b11 + 0o55), 0o10), ehT0Px3KOsy9(chr(1874 - 1826) + chr(111) + chr(0b11100 + 0o27) + '\067' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6821 - 6710) + chr(1022 - 972) + chr(1393 - 1341) + '\x30', 36547 - 36539), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(53) + chr(0b110011), 15544 - 15536), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + '\062' + chr(896 - 844), ord("\x08")), ehT0Px3KOsy9(chr(361 - 313) + '\x6f' + '\x33' + '\067' + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(5809 - 5698) + chr(51) + chr(0b101011 + 0o10) + chr(0b100100 + 0o17), 63858 - 63850), ehT0Px3KOsy9('\060' + '\157' + chr(1547 - 1496) + '\x37' + chr(413 - 358), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9174 - 9063) + chr(50) + chr(0b11 + 0o64) + chr(2123 - 2068), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(6787 - 6676) + chr(0b110011) + '\x37' + '\065', 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(0b110010) + '\066' + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2175 - 2124) + '\x35' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1010000 + 0o37) + '\061' + '\x37' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\066' + chr(0b101100 + 0o11), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(55) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(0b110001) + chr(0b110101) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(0b110101 + 0o2) + '\066', 8), ehT0Px3KOsy9('\060' + chr(0b1010 + 0o145) + '\061' + chr(0b101111 + 0o2) + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111 + 0o0) + chr(2468 - 2418) + '\x31' + chr(54), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(2070 - 2021) + chr(52), 0b1000), ehT0Px3KOsy9(chr(877 - 829) + '\157' + '\x31' + chr(49) + chr(0b110101), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x03'), chr(0b1100100) + '\145' + chr(0b1011001 + 0o12) + chr(7398 - 7287) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(9115 - 8999) + chr(493 - 391) + chr(1359 - 1314) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def DWIwecD0rknO(vPVvVtX29J_P):
def MkGPhISDU5bu(AIvJRzLdDfgF, B0ePDhpqxN5n, VNGQdHSFPrso):
vPVvVtX29J_P(AIvJRzLdDfgF, B0ePDhpqxN5n)
return MkGPhISDU5bu
|
apache/incubator-mxnet
|
python/mxnet/executor.py
|
Executor._get_dict
|
def _get_dict(names, ndarrays):
"""Get the dictionary given name and ndarray pairs."""
nset = set()
for nm in names:
if nm in nset:
raise ValueError('Duplicate names detected, %s' % str(names))
nset.add(nm)
return dict(zip(names, ndarrays))
|
python
|
def _get_dict(names, ndarrays):
"""Get the dictionary given name and ndarray pairs."""
nset = set()
for nm in names:
if nm in nset:
raise ValueError('Duplicate names detected, %s' % str(names))
nset.add(nm)
return dict(zip(names, ndarrays))
|
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Get the dictionary given name and ndarray pairs.
|
[
"Get",
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/executor.py#L90-L97
|
train
|
Get the dictionary given name and ndarray pairs.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(52) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b110011) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(2487 - 2376) + '\x36' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(2213 - 2165) + chr(6636 - 6525) + chr(0b110001) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(2469 - 2419) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(52) + chr(0b10100 + 0o42), 0b1000), ehT0Px3KOsy9(chr(894 - 846) + chr(0b1101111) + chr(0b110010) + chr(0b100100 + 0o20) + '\061', 0o10), ehT0Px3KOsy9(chr(2107 - 2059) + chr(4883 - 4772) + chr(0b110011) + chr(54) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(64 - 14) + chr(1989 - 1938) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110111) + '\x32', 48085 - 48077), ehT0Px3KOsy9(chr(1872 - 1824) + '\157' + chr(51) + chr(0b110010) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(428 - 380) + '\157' + '\x33' + '\x31' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(783 - 735) + '\157' + chr(0b110110) + chr(55), 8), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(5894 - 5783) + '\x32' + '\064' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(210 - 160) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1311 - 1260) + chr(0b110100) + chr(0b1000 + 0o57), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b110000 + 0o6) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\067' + chr(2098 - 2048), 8513 - 8505), ehT0Px3KOsy9(chr(0b110000) + chr(4607 - 4496) + '\x31' + chr(0b110011) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\066' + chr(0b1100 + 0o46), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b110001 + 0o3) + chr(51), 8), ehT0Px3KOsy9(chr(2110 - 2062) + chr(0b1011 + 0o144) + chr(1357 - 1306) + '\064' + '\066', 8), ehT0Px3KOsy9('\060' + chr(8627 - 8516) + '\061' + chr(55) + chr(695 - 643), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + chr(294 - 244) + '\060' + '\x37', 0b1000), ehT0Px3KOsy9(chr(645 - 597) + chr(7363 - 7252) + chr(51) + chr(0b110010) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(486 - 438) + chr(111) + '\061' + chr(55) + chr(0b11000 + 0o31), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100100 + 0o17) + chr(48) + '\062', 13350 - 13342), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(51) + chr(0b100111 + 0o16) + chr(0b110010), 61554 - 61546), ehT0Px3KOsy9(chr(712 - 664) + '\x6f' + chr(0b110011) + '\064' + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1 + 0o63) + chr(1855 - 1805), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(0b11 + 0o61) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2253 - 2203) + chr(1830 - 1775) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(1117 - 1063) + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + '\065' + '\x31', 58846 - 58838), ehT0Px3KOsy9('\x30' + chr(8613 - 8502) + chr(0b110001) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + chr(695 - 646) + chr(2178 - 2126) + chr(2088 - 2034), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1815 - 1765) + '\x31' + chr(0b110011), 57998 - 57990), ehT0Px3KOsy9(chr(48) + chr(2014 - 1903) + '\x32' + '\x35' + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(4409 - 4298) + chr(0b1011 + 0o50) + chr(1637 - 1583) + '\x37', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + '\065' + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\t'), chr(100) + '\x65' + '\143' + chr(0b1010101 + 0o32) + chr(0b110 + 0o136) + '\x65')(chr(4759 - 4642) + chr(116) + chr(102) + chr(761 - 716) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def xtdxLIV6wc7P(OcnR1hZ7pGdr, vz7vivVa6rzO):
ntl47mDBif7p = MVEN8G6CxlvR()
for KXXcX5x0vfuI in OcnR1hZ7pGdr:
if KXXcX5x0vfuI in ntl47mDBif7p:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'c*Ga\xf9\x85\xc0\x85\xfcZ\xbb\xa8Z\xc6\xa1\xc7\x97\x9f-W\xc0\x92\x19|\xab\xf3\\\xb1'), chr(0b10110 + 0o116) + chr(0b1100101) + chr(4689 - 4590) + '\x6f' + '\144' + chr(4658 - 4557))(chr(0b1110101) + chr(4917 - 4801) + chr(102) + '\x2d' + '\x38') % M8_cKLkHVB2V(OcnR1hZ7pGdr))
xafqLlk3kkUe(ntl47mDBif7p, xafqLlk3kkUe(SXOLrMavuUCe(b'R\x15\x07|\xa9\x85\xe6\xc4\xc35\x87\xfa'), '\144' + chr(101) + chr(99) + chr(0b1101111) + chr(0b110 + 0o136) + chr(0b1100101))('\165' + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b111000)))(KXXcX5x0vfuI)
return wLqBDw8l0eIm(pZ0NK2y6HRbn(OcnR1hZ7pGdr, vz7vivVa6rzO))
|
apache/incubator-mxnet
|
python/mxnet/executor.py
|
Executor._get_outputs
|
def _get_outputs(self):
"""List all the output NDArray.
Returns
-------
A list of ndarray bound to the heads of executor.
"""
out_size = mx_uint()
handles = ctypes.POINTER(NDArrayHandle)()
check_call(_LIB.MXExecutorOutputs(self.handle,
ctypes.byref(out_size), ctypes.byref(handles)))
num_output = out_size.value
outputs = [_ndarray_cls(NDArrayHandle(handles[i])) for i in range(num_output)]
return outputs
|
python
|
def _get_outputs(self):
"""List all the output NDArray.
Returns
-------
A list of ndarray bound to the heads of executor.
"""
out_size = mx_uint()
handles = ctypes.POINTER(NDArrayHandle)()
check_call(_LIB.MXExecutorOutputs(self.handle,
ctypes.byref(out_size), ctypes.byref(handles)))
num_output = out_size.value
outputs = [_ndarray_cls(NDArrayHandle(handles[i])) for i in range(num_output)]
return outputs
|
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] |
List all the output NDArray.
Returns
-------
A list of ndarray bound to the heads of executor.
|
[
"List",
"all",
"the",
"output",
"NDArray",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/executor.py#L99-L112
|
train
|
List all the output NDArray.
Returns -------
A list of ndarray bound to the heads of executor.
|
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(0b11001 + 0o27) + '\157' + chr(0b11011 + 0o26) + '\x31' + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\x31' + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101100 + 0o103) + chr(0b110010) + chr(0b101101 + 0o5) + chr(1389 - 1341), 38640 - 38632), ehT0Px3KOsy9(chr(1577 - 1529) + chr(0b1101111) + chr(0b0 + 0o67) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(1530 - 1482) + chr(0b1001001 + 0o46) + '\063' + chr(0b110010) + chr(1307 - 1255), 20969 - 20961), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b1000 + 0o56) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(2755 - 2701), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11101 + 0o26) + chr(1109 - 1054) + '\x37', 38221 - 38213), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1960 - 1911) + chr(0b110110) + chr(0b11111 + 0o25), 0o10), ehT0Px3KOsy9('\060' + chr(874 - 763) + '\x35' + '\x32', 48308 - 48300), ehT0Px3KOsy9(chr(1251 - 1203) + chr(2767 - 2656) + chr(0b110011) + chr(0b0 + 0o66) + chr(0b110001), 11063 - 11055), ehT0Px3KOsy9(chr(48) + chr(11758 - 11647) + chr(52) + chr(0b110 + 0o60), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111101 + 0o62) + '\062' + chr(0b110110) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011011 + 0o24) + chr(0b110011) + '\x33' + '\x34', 22813 - 22805), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x35' + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111001 + 0o66) + chr(0b10 + 0o60) + '\061' + chr(116 - 67), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(51) + chr(0b100100 + 0o17), 0b1000), ehT0Px3KOsy9(chr(1403 - 1355) + chr(0b1001101 + 0o42) + chr(0b110010) + '\065' + '\064', 37956 - 37948), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + '\063' + chr(285 - 237) + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110110), 55379 - 55371), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(0b1101 + 0o44) + chr(1035 - 980), 49528 - 49520), ehT0Px3KOsy9(chr(48) + '\157' + chr(1866 - 1815) + chr(51) + '\x34', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(54) + chr(0b100010 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(946 - 898) + chr(111) + '\062' + chr(2071 - 2020), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\067' + '\064', 54902 - 54894), ehT0Px3KOsy9(chr(2147 - 2099) + chr(7424 - 7313) + '\067' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4578 - 4467) + '\061' + chr(0b11001 + 0o31) + chr(2906 - 2851), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8806 - 8695) + chr(0b110010 + 0o0) + chr(0b11111 + 0o21) + '\066', 41920 - 41912), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(0b10111 + 0o37) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11110 + 0o24) + chr(0b110100 + 0o3) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(1837 - 1787) + chr(1884 - 1835), 28192 - 28184), ehT0Px3KOsy9(chr(0b110000) + chr(0b11111 + 0o120) + chr(0b110001) + chr(850 - 796) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\x36', 8), ehT0Px3KOsy9(chr(487 - 439) + chr(0b1101111) + chr(55) + chr(0b110000 + 0o7), 59806 - 59798), ehT0Px3KOsy9(chr(48) + chr(8948 - 8837) + chr(0b110100) + chr(0b110000), 32192 - 32184), ehT0Px3KOsy9('\060' + chr(7768 - 7657) + '\062' + chr(0b110111) + chr(1420 - 1368), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1010 + 0o54) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(0b10011 + 0o42) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(0b11101 + 0o23) + chr(0b10111 + 0o34), 0b1000), ehT0Px3KOsy9(chr(1838 - 1790) + chr(6181 - 6070) + chr(58 - 9) + chr(0b11011 + 0o30) + chr(0b110000), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1326 - 1278) + chr(0b100 + 0o153) + chr(0b110011 + 0o2) + '\060', 65185 - 65177)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'c'), chr(7289 - 7189) + chr(5334 - 5233) + chr(0b1011100 + 0o7) + '\157' + chr(2897 - 2797) + '\x65')(chr(117) + chr(0b1110100) + chr(8318 - 8216) + chr(645 - 600) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def IW4WFCoqEdPF(oVre8I6UXc3b):
wQKChWwQ_w0Q = RSEUJ_H3k51M()
tPycZqQN1oSb = RyQ4N1viUrfz.POINTER(v4apgis0SrXp)()
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\x00\xd4\xd5A\xb1\x15c\x8b\x1bX\xbeS\xc6\xac[\xfd('), chr(100) + chr(101) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(5372 - 5271))(chr(0b1110101) + chr(0b100110 + 0o116) + chr(0b1000001 + 0o45) + '\055' + chr(56)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xf4\xc4L\x99\x07P\xa5\x10P\xab^'), chr(0b10011 + 0o121) + chr(6869 - 6768) + '\x63' + chr(11683 - 11572) + chr(6206 - 6106) + '\x65')('\165' + '\x74' + chr(10322 - 10220) + chr(1317 - 1272) + '\070')), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'/\xf5\xe2\\\xb2'), '\144' + '\145' + '\x63' + chr(0b1101111) + chr(6440 - 6340) + '\x65')(chr(0b1110101) + chr(0b1010010 + 0o42) + '\x66' + chr(0b10011 + 0o32) + '\070'))(wQKChWwQ_w0Q), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'/\xf5\xe2\\\xb2'), chr(0b111111 + 0o45) + chr(101) + '\x63' + '\x6f' + '\144' + chr(7309 - 7208))(chr(0b1110101) + '\x74' + chr(7770 - 7668) + '\055' + '\070'))(tPycZqQN1oSb)))
dN__BKZG1snO = wQKChWwQ_w0Q.QmmgWUB13VCJ
Dx_DllZ8uCko = [i7ArCBVUNQA5(v4apgis0SrXp(tPycZqQN1oSb[WVxHKyX45z_L])) for WVxHKyX45z_L in vQr8gNKaIaWE(dN__BKZG1snO)]
return Dx_DllZ8uCko
|
apache/incubator-mxnet
|
python/mxnet/executor.py
|
Executor.forward
|
def forward(self, is_train=False, **kwargs):
"""Calculate the outputs specified by the bound symbol.
Parameters
----------
is_train: bool, optional
Whether this forward is for evaluation purpose. If True,
a backward call is expected to follow.
**kwargs
Additional specification of input arguments.
Examples
--------
>>> # doing forward by specifying data
>>> texec.forward(is_train=True, data=mydata)
>>> # doing forward by not specifying things, but copy to the executor before hand
>>> mydata.copyto(texec.arg_dict['data'])
>>> texec.forward(is_train=True)
>>> # doing forward by specifying data and get outputs
>>> outputs = texec.forward(is_train=True, data=mydata)
>>> print(outputs[0].asnumpy())
"""
if len(kwargs) != 0:
arg_dict = self.arg_dict
for name, array in kwargs.items():
if not isinstance(array, (NDArray, np.ndarray)):
raise ValueError('only accept keyword argument of NDArrays and numpy.ndarray')
if name not in arg_dict:
raise TypeError('Unknown argument %s' % name)
if arg_dict[name].shape != array.shape:
raise ValueError('Shape not match! Argument %s, need: %s, received: %s'
%(name, str(arg_dict[name].shape), str(array.shape)))
arg_dict[name][:] = array
check_call(_LIB.MXExecutorForward(
self.handle,
ctypes.c_int(int(is_train))))
return self.outputs
|
python
|
def forward(self, is_train=False, **kwargs):
"""Calculate the outputs specified by the bound symbol.
Parameters
----------
is_train: bool, optional
Whether this forward is for evaluation purpose. If True,
a backward call is expected to follow.
**kwargs
Additional specification of input arguments.
Examples
--------
>>> # doing forward by specifying data
>>> texec.forward(is_train=True, data=mydata)
>>> # doing forward by not specifying things, but copy to the executor before hand
>>> mydata.copyto(texec.arg_dict['data'])
>>> texec.forward(is_train=True)
>>> # doing forward by specifying data and get outputs
>>> outputs = texec.forward(is_train=True, data=mydata)
>>> print(outputs[0].asnumpy())
"""
if len(kwargs) != 0:
arg_dict = self.arg_dict
for name, array in kwargs.items():
if not isinstance(array, (NDArray, np.ndarray)):
raise ValueError('only accept keyword argument of NDArrays and numpy.ndarray')
if name not in arg_dict:
raise TypeError('Unknown argument %s' % name)
if arg_dict[name].shape != array.shape:
raise ValueError('Shape not match! Argument %s, need: %s, received: %s'
%(name, str(arg_dict[name].shape), str(array.shape)))
arg_dict[name][:] = array
check_call(_LIB.MXExecutorForward(
self.handle,
ctypes.c_int(int(is_train))))
return self.outputs
|
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] |
Calculate the outputs specified by the bound symbol.
Parameters
----------
is_train: bool, optional
Whether this forward is for evaluation purpose. If True,
a backward call is expected to follow.
**kwargs
Additional specification of input arguments.
Examples
--------
>>> # doing forward by specifying data
>>> texec.forward(is_train=True, data=mydata)
>>> # doing forward by not specifying things, but copy to the executor before hand
>>> mydata.copyto(texec.arg_dict['data'])
>>> texec.forward(is_train=True)
>>> # doing forward by specifying data and get outputs
>>> outputs = texec.forward(is_train=True, data=mydata)
>>> print(outputs[0].asnumpy())
|
[
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"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/executor.py#L114-L153
|
train
|
Calculate the outputs specified by the bound symbol.
|
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(0b1010011 + 0o34) + '\x34' + '\x31', 52698 - 52690), ehT0Px3KOsy9(chr(2004 - 1956) + chr(8979 - 8868) + '\x32' + chr(51) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11820 - 11709) + '\x33' + chr(51) + chr(54), 0o10), ehT0Px3KOsy9(chr(970 - 922) + chr(0b1101111) + chr(0b11010 + 0o31) + '\066' + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\x31' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\060' + chr(0b10010 + 0o42), 0b1000), ehT0Px3KOsy9(chr(2295 - 2247) + chr(0b110001 + 0o76) + '\062' + chr(0b10001 + 0o45) + chr(814 - 763), ord("\x08")), ehT0Px3KOsy9(chr(1553 - 1505) + chr(6764 - 6653) + chr(381 - 331) + chr(2000 - 1950) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1389 - 1341) + chr(0b1000100 + 0o53) + chr(50) + '\064' + chr(0b10010 + 0o37), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110 + 0o53) + chr(49) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(51) + chr(53), 0b1000), ehT0Px3KOsy9(chr(1951 - 1903) + chr(10259 - 10148) + chr(0b11101 + 0o24) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\x34' + '\x31', 28458 - 28450), ehT0Px3KOsy9('\060' + chr(2350 - 2239) + '\067' + chr(2362 - 2310), 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(9063 - 8952) + chr(50) + chr(1891 - 1836), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1009 - 898) + chr(0b110010) + chr(0b110110) + chr(0b110000), 52121 - 52113), ehT0Px3KOsy9(chr(48) + chr(0b1000000 + 0o57) + '\x37' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + '\x32' + '\060' + chr(1570 - 1516), 19731 - 19723), ehT0Px3KOsy9(chr(0b110000) + chr(1099 - 988) + chr(648 - 593) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010011 + 0o34) + chr(1230 - 1179) + chr(0b110010) + chr(1165 - 1110), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(9428 - 9317) + chr(0b110001) + chr(50) + chr(0b110100), 43391 - 43383), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1000 + 0o147) + chr(1447 - 1398) + chr(0b110110) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x34' + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1693 - 1642) + '\x30' + chr(0b101110 + 0o2), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011011 + 0o24) + chr(0b110010) + '\067' + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(0b110100) + '\061', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(53) + chr(0b11100 + 0o31), 56467 - 56459), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + '\063' + chr(1321 - 1272) + chr(1736 - 1683), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1622 - 1572) + chr(0b110101) + '\x34', 33415 - 33407), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110 + 0o53) + chr(2745 - 2692), 0b1000), ehT0Px3KOsy9(chr(2052 - 2004) + chr(0b111110 + 0o61) + chr(854 - 805) + chr(49) + chr(0b100 + 0o62), 8), ehT0Px3KOsy9(chr(1316 - 1268) + chr(9723 - 9612) + '\x32' + chr(0b110111) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + '\x33' + '\x37' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(51) + '\x36', 15148 - 15140), ehT0Px3KOsy9(chr(48) + '\157' + chr(2387 - 2338) + chr(48) + chr(0b100011 + 0o24), 0o10), ehT0Px3KOsy9(chr(963 - 915) + chr(3845 - 3734) + chr(51) + chr(0b110100) + chr(0b10001 + 0o37), 64049 - 64041), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1367 - 1318) + '\x34' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011000 + 0o27) + '\063' + chr(0b110001) + chr(1088 - 1038), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11101 + 0o122) + chr(51) + chr(0b10011 + 0o36) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\x31' + chr(799 - 747), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(0b110101) + chr(0b100111 + 0o11), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f'), chr(7263 - 7163) + '\145' + '\x63' + '\157' + chr(100) + chr(498 - 397))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(0b11100 + 0o21) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GbbcCHUNFMj5(oVre8I6UXc3b, axnxdawmCuz_=ehT0Px3KOsy9(chr(264 - 216) + chr(0b1100100 + 0o13) + chr(556 - 508), 0b1000), **M8EIoTs2GJXE):
if c2A0yzQpDQB3(M8EIoTs2GJXE) != ehT0Px3KOsy9('\060' + chr(111) + chr(0b100110 + 0o12), 8):
XXPvg13AmiwJ = oVre8I6UXc3b.XXPvg13AmiwJ
for (AIvJRzLdDfgF, B0ePDhpqxN5n) in xafqLlk3kkUe(M8EIoTs2GJXE, xafqLlk3kkUe(SXOLrMavuUCe(b'o\xe2\xa8\x90\xc7\x9e\x80\xdc\xcd\x1d\x153'), chr(0b11011 + 0o111) + '\145' + '\143' + '\x6f' + chr(0b110111 + 0o55) + chr(0b1100101))(chr(0b1110100 + 0o1) + '\164' + '\x66' + chr(0b101101) + '\x38'))():
if not PlSM16l2KDPD(B0ePDhpqxN5n, (GdqFjMbtKL7s, xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'O\xfc\xbf\x87\xfc\xa5\xca'), chr(4671 - 4571) + '\145' + chr(6520 - 6421) + chr(10189 - 10078) + chr(1759 - 1659) + chr(4112 - 4011))(chr(0b1110101) + chr(0b1010000 + 0o44) + chr(102) + '\055' + chr(599 - 543))))):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'N\xf6\xb2\x8c\xae\xa5\xd0\xf6\xc4>)*\x8aYn\xc7T\xf4[\xf75\x07C\xb5\xd2\xc4\x03\xb9\x8cb(\x98\xb1\xda\x06\x92\x15\xab\xb6\xbf\x01\xf9\xb0\x91\xae\xaa\xc6\xf8\xd17sd\x85]e\xc2Z\xff'), '\144' + chr(0b1010101 + 0o20) + chr(0b11001 + 0o112) + chr(111) + chr(100) + chr(101))('\x75' + chr(116) + '\146' + chr(0b1010 + 0o43) + chr(0b111 + 0o61)))
if AIvJRzLdDfgF not in XXPvg13AmiwJ:
raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b't\xf6\xb5\x9b\xe1\xb3\xdd\xb5\xc0<:\x7f\x8cYy\xc4\x1b\xa3L'), chr(100) + chr(3544 - 3443) + chr(0b1100011) + chr(111) + chr(963 - 863) + chr(0b10 + 0o143))(chr(3619 - 3502) + chr(4745 - 4629) + chr(102) + chr(0b101101) + chr(0b111000)) % AIvJRzLdDfgF)
if xafqLlk3kkUe(XXPvg13AmiwJ[AIvJRzLdDfgF], xafqLlk3kkUe(SXOLrMavuUCe(b'O\xf9\xab\xac\xe8\x88\xd4\xf9\xf5>>h'), '\x64' + chr(0b1100101) + '\x63' + chr(111) + chr(0b1010010 + 0o22) + chr(5387 - 5286))('\165' + chr(8595 - 8479) + '\146' + chr(1205 - 1160) + '\070')) != xafqLlk3kkUe(B0ePDhpqxN5n, xafqLlk3kkUe(SXOLrMavuUCe(b'O\xf9\xab\xac\xe8\x88\xd4\xf9\xf5>>h'), chr(3349 - 3249) + '\145' + chr(6537 - 6438) + '\x6f' + '\144' + '\x65')('\x75' + chr(116) + '\x66' + chr(1007 - 962) + chr(56))):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'r\xf0\xbf\x85\xeb\xe4\xdd\xfa\xd5n0k\x95_\x7f\x91\x1b\xc7M\xb0!\x18A\xae\xcb\x81H\xbe\x80- \xdd\x9a\xfa}\xc0B\xb9\xe3\xecS\xfd\xbd\x90\xe7\xb2\xd6\xf1\x9bnxy'), chr(0b1100100) + chr(0b110011 + 0o62) + chr(4635 - 4536) + '\x6f' + chr(0b1010001 + 0o23) + chr(227 - 126))(chr(0b111001 + 0o74) + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b100110 + 0o22)) % (AIvJRzLdDfgF, M8_cKLkHVB2V(xafqLlk3kkUe(XXPvg13AmiwJ[AIvJRzLdDfgF], xafqLlk3kkUe(SXOLrMavuUCe(b'O\xf9\xab\xac\xe8\x88\xd4\xf9\xf5>>h'), chr(0b101011 + 0o71) + chr(0b1100101) + chr(99) + chr(0b1101001 + 0o6) + chr(0b1100100) + chr(4251 - 4150))(chr(0b101110 + 0o107) + '\164' + chr(102) + chr(45) + chr(56)))), M8_cKLkHVB2V(xafqLlk3kkUe(B0ePDhpqxN5n, xafqLlk3kkUe(SXOLrMavuUCe(b'O\xf9\xab\xac\xe8\x88\xd4\xf9\xf5>>h'), '\144' + '\x65' + chr(0b1100011) + '\x6f' + chr(0b110100 + 0o60) + chr(969 - 868))(chr(5874 - 5757) + '\164' + chr(0b101011 + 0o73) + '\x2d' + chr(0b111000))))))
XXPvg13AmiwJ[AIvJRzLdDfgF][:] = B0ePDhpqxN5n
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'l\xc0\x9b\x8d\xeb\xa7\xc6\xe1\xce<\x1be\x93Kv\xc2_'), chr(4155 - 4055) + chr(0b1100101) + chr(0b1100011) + chr(3644 - 3533) + '\144' + '\145')(chr(0b111010 + 0o73) + chr(0b1110100) + chr(8495 - 8393) + '\x2d' + '\070'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'r\xe0\x8a\x80\xc3\xb5\xf5\xcf\xc54\x07r'), chr(100) + chr(0b101011 + 0o72) + chr(99) + chr(0b110111 + 0o70) + chr(7530 - 7430) + chr(7592 - 7491))('\165' + '\x74' + chr(102) + chr(0b1110 + 0o37) + chr(0b110100 + 0o4))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'B\xc7\xb7\x9b\xfa'), '\144' + chr(101) + chr(99) + chr(111) + chr(0b1100100) + chr(101))('\x75' + '\x74' + chr(0b1100110) + '\055' + chr(56)))(ehT0Px3KOsy9(axnxdawmCuz_))))
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'e\xe0\x81\xb1\xe2\xa8\xe9\xad\xd4\r6e'), chr(3389 - 3289) + chr(101) + chr(0b1100011) + chr(4698 - 4587) + chr(5183 - 5083) + chr(101))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(0b101 + 0o50) + '\x38'))
|
apache/incubator-mxnet
|
python/mxnet/executor.py
|
Executor.backward
|
def backward(self, out_grads=None, is_train=True):
"""Do backward pass to get the gradient of arguments.
Parameters
----------
out_grads : NDArray or list of NDArray or dict of str to 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.
is_train : bool, default True
Whether this backward is for training or inference. Note that in rare
cases you want to call backward with is_train=False to get gradient
during inference.
Examples
--------
>>> # Example for binding on loss function symbol, which gives the loss value of the model.
>>> # Equivalently it gives the head gradient for backward pass.
>>> # In this example the built-in SoftmaxOutput is used as loss function.
>>> # MakeLoss can be used to define customized loss function symbol.
>>> net = mx.sym.Variable('data')
>>> net = mx.sym.FullyConnected(net, name='fc', num_hidden=6)
>>> net = mx.sym.Activation(net, name='relu', act_type="relu")
>>> net = mx.sym.SoftmaxOutput(net, name='softmax')
>>> args = {'data': mx.nd.ones((1, 4)), 'fc_weight': mx.nd.ones((6, 4)),
>>> 'fc_bias': mx.nd.array((1, 4, 4, 4, 5, 6)), 'softmax_label': mx.nd.ones((1))}
>>> args_grad = {'fc_weight': mx.nd.zeros((6, 4)), 'fc_bias': mx.nd.zeros((6))}
>>> texec = net.bind(ctx=mx.cpu(), args=args, args_grad=args_grad)
>>> out = texec.forward(is_train=True)[0].copy()
>>> print out.asnumpy()
[[ 0.00378404 0.07600445 0.07600445 0.07600445 0.20660152 0.5616011 ]]
>>> texec.backward()
>>> print(texec.grad_arrays[1].asnumpy())
[[ 0.00378404 0.00378404 0.00378404 0.00378404]
[-0.92399555 -0.92399555 -0.92399555 -0.92399555]
[ 0.07600445 0.07600445 0.07600445 0.07600445]
[ 0.07600445 0.07600445 0.07600445 0.07600445]
[ 0.20660152 0.20660152 0.20660152 0.20660152]
[ 0.5616011 0.5616011 0.5616011 0.5616011 ]]
>>>
>>> # Example for binding on non-loss function symbol.
>>> # Here the binding symbol is neither built-in loss function
>>> # nor customized loss created by MakeLoss.
>>> # As a result the head gradient is not automatically provided.
>>> a = mx.sym.Variable('a')
>>> b = mx.sym.Variable('b')
>>> # c is not a loss function symbol
>>> c = 2 * a + b
>>> args = {'a': mx.nd.array([1,2]), 'b':mx.nd.array([2,3])}
>>> args_grad = {'a': mx.nd.zeros((2)), 'b': mx.nd.zeros((2))}
>>> texec = c.bind(ctx=mx.cpu(), args=args, args_grad=args_grad)
>>> out = texec.forward(is_train=True)[0].copy()
>>> print(out.asnumpy())
[ 4. 7.]
>>> # out_grads is the head gradient in backward pass.
>>> # Here we define 'c' as loss function.
>>> # Then 'out' is passed as head gradient of backward pass.
>>> texec.backward(out)
>>> print(texec.grad_arrays[0].asnumpy())
[ 8. 14.]
>>> print(texec.grad_arrays[1].asnumpy())
[ 4. 7.]
"""
if out_grads is None:
out_grads = []
elif isinstance(out_grads, NDArray):
out_grads = [out_grads]
elif isinstance(out_grads, dict):
out_grads = [out_grads[k] for k in self._symbol.list_outputs()]
for obj in out_grads:
if not isinstance(obj, NDArray):
raise TypeError("inputs must be NDArray")
ndarray = c_handle_array(out_grads)
check_call(_LIB.MXExecutorBackwardEx(
self.handle,
mx_uint(len(out_grads)),
ndarray,
ctypes.c_int(is_train)))
|
python
|
def backward(self, out_grads=None, is_train=True):
"""Do backward pass to get the gradient of arguments.
Parameters
----------
out_grads : NDArray or list of NDArray or dict of str to 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.
is_train : bool, default True
Whether this backward is for training or inference. Note that in rare
cases you want to call backward with is_train=False to get gradient
during inference.
Examples
--------
>>> # Example for binding on loss function symbol, which gives the loss value of the model.
>>> # Equivalently it gives the head gradient for backward pass.
>>> # In this example the built-in SoftmaxOutput is used as loss function.
>>> # MakeLoss can be used to define customized loss function symbol.
>>> net = mx.sym.Variable('data')
>>> net = mx.sym.FullyConnected(net, name='fc', num_hidden=6)
>>> net = mx.sym.Activation(net, name='relu', act_type="relu")
>>> net = mx.sym.SoftmaxOutput(net, name='softmax')
>>> args = {'data': mx.nd.ones((1, 4)), 'fc_weight': mx.nd.ones((6, 4)),
>>> 'fc_bias': mx.nd.array((1, 4, 4, 4, 5, 6)), 'softmax_label': mx.nd.ones((1))}
>>> args_grad = {'fc_weight': mx.nd.zeros((6, 4)), 'fc_bias': mx.nd.zeros((6))}
>>> texec = net.bind(ctx=mx.cpu(), args=args, args_grad=args_grad)
>>> out = texec.forward(is_train=True)[0].copy()
>>> print out.asnumpy()
[[ 0.00378404 0.07600445 0.07600445 0.07600445 0.20660152 0.5616011 ]]
>>> texec.backward()
>>> print(texec.grad_arrays[1].asnumpy())
[[ 0.00378404 0.00378404 0.00378404 0.00378404]
[-0.92399555 -0.92399555 -0.92399555 -0.92399555]
[ 0.07600445 0.07600445 0.07600445 0.07600445]
[ 0.07600445 0.07600445 0.07600445 0.07600445]
[ 0.20660152 0.20660152 0.20660152 0.20660152]
[ 0.5616011 0.5616011 0.5616011 0.5616011 ]]
>>>
>>> # Example for binding on non-loss function symbol.
>>> # Here the binding symbol is neither built-in loss function
>>> # nor customized loss created by MakeLoss.
>>> # As a result the head gradient is not automatically provided.
>>> a = mx.sym.Variable('a')
>>> b = mx.sym.Variable('b')
>>> # c is not a loss function symbol
>>> c = 2 * a + b
>>> args = {'a': mx.nd.array([1,2]), 'b':mx.nd.array([2,3])}
>>> args_grad = {'a': mx.nd.zeros((2)), 'b': mx.nd.zeros((2))}
>>> texec = c.bind(ctx=mx.cpu(), args=args, args_grad=args_grad)
>>> out = texec.forward(is_train=True)[0].copy()
>>> print(out.asnumpy())
[ 4. 7.]
>>> # out_grads is the head gradient in backward pass.
>>> # Here we define 'c' as loss function.
>>> # Then 'out' is passed as head gradient of backward pass.
>>> texec.backward(out)
>>> print(texec.grad_arrays[0].asnumpy())
[ 8. 14.]
>>> print(texec.grad_arrays[1].asnumpy())
[ 4. 7.]
"""
if out_grads is None:
out_grads = []
elif isinstance(out_grads, NDArray):
out_grads = [out_grads]
elif isinstance(out_grads, dict):
out_grads = [out_grads[k] for k in self._symbol.list_outputs()]
for obj in out_grads:
if not isinstance(obj, NDArray):
raise TypeError("inputs must be NDArray")
ndarray = c_handle_array(out_grads)
check_call(_LIB.MXExecutorBackwardEx(
self.handle,
mx_uint(len(out_grads)),
ndarray,
ctypes.c_int(is_train)))
|
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] |
Do backward pass to get the gradient of arguments.
Parameters
----------
out_grads : NDArray or list of NDArray or dict of str to 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.
is_train : bool, default True
Whether this backward is for training or inference. Note that in rare
cases you want to call backward with is_train=False to get gradient
during inference.
Examples
--------
>>> # Example for binding on loss function symbol, which gives the loss value of the model.
>>> # Equivalently it gives the head gradient for backward pass.
>>> # In this example the built-in SoftmaxOutput is used as loss function.
>>> # MakeLoss can be used to define customized loss function symbol.
>>> net = mx.sym.Variable('data')
>>> net = mx.sym.FullyConnected(net, name='fc', num_hidden=6)
>>> net = mx.sym.Activation(net, name='relu', act_type="relu")
>>> net = mx.sym.SoftmaxOutput(net, name='softmax')
>>> args = {'data': mx.nd.ones((1, 4)), 'fc_weight': mx.nd.ones((6, 4)),
>>> 'fc_bias': mx.nd.array((1, 4, 4, 4, 5, 6)), 'softmax_label': mx.nd.ones((1))}
>>> args_grad = {'fc_weight': mx.nd.zeros((6, 4)), 'fc_bias': mx.nd.zeros((6))}
>>> texec = net.bind(ctx=mx.cpu(), args=args, args_grad=args_grad)
>>> out = texec.forward(is_train=True)[0].copy()
>>> print out.asnumpy()
[[ 0.00378404 0.07600445 0.07600445 0.07600445 0.20660152 0.5616011 ]]
>>> texec.backward()
>>> print(texec.grad_arrays[1].asnumpy())
[[ 0.00378404 0.00378404 0.00378404 0.00378404]
[-0.92399555 -0.92399555 -0.92399555 -0.92399555]
[ 0.07600445 0.07600445 0.07600445 0.07600445]
[ 0.07600445 0.07600445 0.07600445 0.07600445]
[ 0.20660152 0.20660152 0.20660152 0.20660152]
[ 0.5616011 0.5616011 0.5616011 0.5616011 ]]
>>>
>>> # Example for binding on non-loss function symbol.
>>> # Here the binding symbol is neither built-in loss function
>>> # nor customized loss created by MakeLoss.
>>> # As a result the head gradient is not automatically provided.
>>> a = mx.sym.Variable('a')
>>> b = mx.sym.Variable('b')
>>> # c is not a loss function symbol
>>> c = 2 * a + b
>>> args = {'a': mx.nd.array([1,2]), 'b':mx.nd.array([2,3])}
>>> args_grad = {'a': mx.nd.zeros((2)), 'b': mx.nd.zeros((2))}
>>> texec = c.bind(ctx=mx.cpu(), args=args, args_grad=args_grad)
>>> out = texec.forward(is_train=True)[0].copy()
>>> print(out.asnumpy())
[ 4. 7.]
>>> # out_grads is the head gradient in backward pass.
>>> # Here we define 'c' as loss function.
>>> # Then 'out' is passed as head gradient of backward pass.
>>> texec.backward(out)
>>> print(texec.grad_arrays[0].asnumpy())
[ 8. 14.]
>>> print(texec.grad_arrays[1].asnumpy())
[ 4. 7.]
|
[
"Do",
"backward",
"pass",
"to",
"get",
"the",
"gradient",
"of",
"arguments",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/executor.py#L155-L235
|
train
|
This function is used to get the gradient of arguments for the forward pass of 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(48) + chr(7897 - 7786) + chr(1214 - 1165) + '\x36' + chr(0b100000 + 0o21), 42422 - 42414), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1100 + 0o45) + chr(0b100101 + 0o16) + chr(49), 23919 - 23911), ehT0Px3KOsy9(chr(1601 - 1553) + chr(0b1101111) + '\x31' + chr(405 - 351) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1247 - 1198) + '\067' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b101010 + 0o7) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + '\x32' + chr(2528 - 2477) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(881 - 830) + '\x31' + '\x32', 0b1000), ehT0Px3KOsy9(chr(476 - 428) + chr(0b1010100 + 0o33) + chr(0b110001) + chr(0b110000 + 0o3) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101000 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100111 + 0o14) + chr(0b0 + 0o65) + chr(0b10010 + 0o36), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\x32' + chr(1005 - 953), 44843 - 44835), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\065' + chr(0b100 + 0o57), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b110010) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(51) + chr(1444 - 1396), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + '\061' + chr(0b110111) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101101 + 0o12) + chr(0b100100 + 0o20), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100111 + 0o110) + chr(0b1010 + 0o51) + '\064' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(48) + '\062', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(581 - 532) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(3537 - 3426) + chr(0b100111 + 0o13) + chr(0b110001) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100000 + 0o117) + chr(1648 - 1599) + '\064' + '\x36', 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + chr(0b110011) + chr(0b110110) + chr(327 - 274), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000011 + 0o54) + chr(50) + chr(52), 52522 - 52514), ehT0Px3KOsy9('\060' + chr(1758 - 1647) + chr(0b110011) + chr(0b101100 + 0o13) + chr(0b11 + 0o61), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\067' + chr(1398 - 1344), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100 + 0o57) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + '\x31' + '\066', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x37', 2851 - 2843), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(53) + '\060', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100110 + 0o14) + '\065' + chr(0b10111 + 0o32), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\x35' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(2178 - 2130) + '\x6f' + chr(52) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + '\063' + '\064', 25439 - 25431), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(11225 - 11114) + chr(0b110001) + chr(1414 - 1363), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(51) + chr(0b101010 + 0o12), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1100 + 0o52) + '\x31', 51546 - 51538), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(734 - 682) + chr(0b100001 + 0o25), 8), ehT0Px3KOsy9(chr(0b110000) + chr(3358 - 3247) + '\062' + chr(0b110110) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(9612 - 9501) + chr(0b11001 + 0o31) + chr(0b101001 + 0o16) + chr(0b110101), 19503 - 19495)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(2216 - 2105) + chr(0b1000 + 0o55) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'_'), chr(4456 - 4356) + chr(101) + chr(6979 - 6880) + '\157' + chr(100) + chr(0b1000010 + 0o43))('\x75' + chr(5704 - 5588) + chr(102) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def NkF4FoEFSIEn(oVre8I6UXc3b, smjiSYx587nD=None, axnxdawmCuz_=ehT0Px3KOsy9(chr(48) + '\x6f' + '\061', ord("\x08"))):
if smjiSYx587nD is None:
smjiSYx587nD = []
elif PlSM16l2KDPD(smjiSYx587nD, GdqFjMbtKL7s):
smjiSYx587nD = [smjiSYx587nD]
elif PlSM16l2KDPD(smjiSYx587nD, wLqBDw8l0eIm):
smjiSYx587nD = [smjiSYx587nD[OolUPRJhRaJd] for OolUPRJhRaJd in oVre8I6UXc3b._symbol.list_outputs()]
for mDuDykdz0pcm in smjiSYx587nD:
if not PlSM16l2KDPD(mDuDykdz0pcm, GdqFjMbtKL7s):
raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'\x187\x02\x08;\xe8\xea6q\x9b \x0b2=YrB\xa20\xfd\xef\x1f'), '\x64' + '\145' + '\143' + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(117) + '\164' + '\x66' + '\055' + '\070'))
VtU1DncglWAm = a5DvL4JgWdMi(smjiSYx587nD)
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'<\x017\x05*\xf8\xbf/k\x9a\x16J33\x0e]t\x87\x07\xf7'), chr(0b1100100) + chr(0b110001 + 0o64) + chr(0b1010111 + 0o14) + '\x6f' + '\x64' + chr(477 - 376))(chr(117) + chr(0b1110100) + '\x66' + '\055' + chr(1325 - 1269)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'"!&\x08\x02\xea\x8c\x01`\x92\x0eS'), '\144' + chr(0b1001110 + 0o27) + '\143' + chr(0b1101111) + '\144' + chr(3536 - 3435))('\x75' + '\164' + '\x66' + chr(824 - 779) + chr(2212 - 2156))), RSEUJ_H3k51M(c2A0yzQpDQB3(smjiSYx587nD)), VtU1DncglWAm, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12\x06\x1b\x13;'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(117) + chr(0b1010110 + 0o36) + chr(102 - 0) + chr(45) + '\x38'))(axnxdawmCuz_)))
|
apache/incubator-mxnet
|
python/mxnet/executor.py
|
Executor.set_monitor_callback
|
def set_monitor_callback(self, callback, monitor_all=False):
"""Install callback for monitor.
Parameters
----------
callback : function
Takes a string and an NDArrayHandle.
monitor_all : bool, default False
If true, monitor both input and output, otherwise monitor output only.
Examples
--------
>>> def mon_callback(*args, **kwargs):
>>> print("Do your stuff here.")
>>>
>>> texe.set_monitor_callback(mon_callback)
"""
cb_type = ctypes.CFUNCTYPE(None, ctypes.c_char_p, NDArrayHandle, ctypes.c_void_p)
self._monitor_callback = cb_type(_monitor_callback_wrapper(callback))
check_call(_LIB.MXExecutorSetMonitorCallbackEX(
self.handle,
self._monitor_callback,
None,
ctypes.c_int(monitor_all)))
|
python
|
def set_monitor_callback(self, callback, monitor_all=False):
"""Install callback for monitor.
Parameters
----------
callback : function
Takes a string and an NDArrayHandle.
monitor_all : bool, default False
If true, monitor both input and output, otherwise monitor output only.
Examples
--------
>>> def mon_callback(*args, **kwargs):
>>> print("Do your stuff here.")
>>>
>>> texe.set_monitor_callback(mon_callback)
"""
cb_type = ctypes.CFUNCTYPE(None, ctypes.c_char_p, NDArrayHandle, ctypes.c_void_p)
self._monitor_callback = cb_type(_monitor_callback_wrapper(callback))
check_call(_LIB.MXExecutorSetMonitorCallbackEX(
self.handle,
self._monitor_callback,
None,
ctypes.c_int(monitor_all)))
|
[
"def",
"set_monitor_callback",
"(",
"self",
",",
"callback",
",",
"monitor_all",
"=",
"False",
")",
":",
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".",
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"(",
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",",
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"c_char_p",
",",
"NDArrayHandle",
",",
"ctypes",
".",
"c_void_p",
")",
"self",
".",
"_monitor_callback",
"=",
"cb_type",
"(",
"_monitor_callback_wrapper",
"(",
"callback",
")",
")",
"check_call",
"(",
"_LIB",
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"MXExecutorSetMonitorCallbackEX",
"(",
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",",
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".",
"_monitor_callback",
",",
"None",
",",
"ctypes",
".",
"c_int",
"(",
"monitor_all",
")",
")",
")"
] |
Install callback for monitor.
Parameters
----------
callback : function
Takes a string and an NDArrayHandle.
monitor_all : bool, default False
If true, monitor both input and output, otherwise monitor output only.
Examples
--------
>>> def mon_callback(*args, **kwargs):
>>> print("Do your stuff here.")
>>>
>>> texe.set_monitor_callback(mon_callback)
|
[
"Install",
"callback",
"for",
"monitor",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/executor.py#L237-L260
|
train
|
Install callback for monitor.
|
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(540 - 492) + '\x6f' + chr(50) + chr(0b110111) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + '\063' + chr(49) + chr(2780 - 2726), 0b1000), ehT0Px3KOsy9(chr(458 - 410) + chr(0b1101111) + chr(0b101101 + 0o5) + chr(2349 - 2294) + '\x30', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(1719 - 1670) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b110101 + 0o2) + chr(0b110011 + 0o1), 0b1000), ehT0Px3KOsy9(chr(872 - 824) + '\x6f' + chr(904 - 854) + '\x36' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1000 + 0o52) + chr(0b10001 + 0o37) + chr(0b100101 + 0o14), 0o10), ehT0Px3KOsy9('\060' + chr(0b1100110 + 0o11) + '\062' + chr(2168 - 2115), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(1273 - 1224) + chr(52) + chr(50), 11684 - 11676), ehT0Px3KOsy9(chr(1579 - 1531) + chr(0b1101111) + chr(51) + chr(1001 - 950) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(53) + chr(1867 - 1813), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\061' + chr(50), 47125 - 47117), ehT0Px3KOsy9(chr(48) + chr(0b11010 + 0o125) + '\x34' + chr(0b110010), 5991 - 5983), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(0b100110 + 0o14) + chr(0b110101), 53028 - 53020), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1232 - 1183) + chr(0b11110 + 0o27) + chr(0b1001 + 0o47), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11110 + 0o25) + chr(0b110100) + chr(1359 - 1311), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1773 - 1722) + '\061' + '\066', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11 + 0o63) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1533 - 1482) + chr(0b110110) + chr(133 - 81), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110111 + 0o70) + chr(0b10 + 0o57) + chr(0b110110) + chr(1067 - 1015), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101101 + 0o2) + '\x32' + chr(0b101000 + 0o17) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1249 - 1138) + chr(49) + chr(1905 - 1852) + chr(51), 22689 - 22681), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1100 + 0o47) + '\x37' + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + chr(6005 - 5894) + chr(1075 - 1024) + '\x37' + chr(1069 - 1020), ord("\x08")), ehT0Px3KOsy9(chr(1697 - 1649) + chr(111) + '\x32' + chr(789 - 741) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4882 - 4771) + chr(1759 - 1709) + '\067' + chr(55), 53762 - 53754), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(51) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + chr(0b11011 + 0o26) + '\061' + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110001 + 0o76) + chr(0b10110 + 0o34) + chr(0b101001 + 0o11) + chr(2499 - 2449), 512 - 504), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(0b110101) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\062' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1985 - 1935) + chr(1108 - 1060) + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(1145 - 1096) + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(732 - 683) + chr(54) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11242 - 11131) + chr(0b11111 + 0o23) + '\061' + chr(0b110110), 44755 - 44747), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(49) + '\066', 9376 - 9368), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\064' + chr(854 - 805), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9829 - 9718) + chr(0b101110 + 0o7), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11452 - 11341) + chr(0b110001) + chr(0b110101) + '\067', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x35' + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x96'), chr(0b110111 + 0o55) + chr(0b1100101) + '\143' + '\157' + chr(4575 - 4475) + chr(0b10011 + 0o122))(chr(5574 - 5457) + '\164' + chr(102) + chr(1034 - 989) + chr(2572 - 2516)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def WXLAhYdGh9vV(oVre8I6UXc3b, vPVvVtX29J_P, NgPgnm3c72UW=ehT0Px3KOsy9(chr(48) + chr(4035 - 3924) + chr(0b110000), 0b1000)):
iFgPZAFGZf9v = RyQ4N1viUrfz.CFUNCTYPE(None, RyQ4N1viUrfz.c_char_p, v4apgis0SrXp, RyQ4N1viUrfz.c_void_p)
oVre8I6UXc3b.RX7buqx_oQIp = iFgPZAFGZf9v(DWIwecD0rknO(vPVvVtX29J_P))
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\x96\xfd\xf7\x99\xd0\xf4a\r\xa8\xbd\xefV\x98\x07\x8e\xa7E\x9b\x06\xf9\nc\x91\x9b\xe2\xdc3\x0f\xca'), '\144' + chr(0b1100101) + '\143' + chr(8452 - 8341) + chr(100) + chr(101))(chr(0b110001 + 0o104) + '\164' + chr(8945 - 8843) + '\055' + '\070'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xeb\xb6\xec\xfa\xb1\xc2\xc7O\x06\xa0\xb4\xf2'), '\144' + chr(0b10110 + 0o117) + '\143' + chr(111) + chr(0b1001101 + 0o27) + chr(2799 - 2698))(chr(117) + chr(0b1110100) + chr(0b110000 + 0o66) + chr(483 - 438) + chr(56))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\x96\x8f\xed\x89\xc2\xf9J\r\x8b\xa7\xfa'), chr(0b1100100) + '\145' + '\143' + chr(111) + chr(3003 - 2903) + chr(0b1100101))(chr(0b1001000 + 0o55) + chr(8557 - 8441) + chr(7489 - 7387) + chr(45) + chr(0b111000))), None, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb\x91\xd1\xe1\x88'), chr(0b111110 + 0o46) + chr(101) + chr(0b1100011) + chr(0b110111 + 0o70) + '\144' + '\x65')(chr(8416 - 8299) + chr(116) + chr(0b1100110) + chr(0b0 + 0o55) + chr(56)))(NgPgnm3c72UW)))
|
apache/incubator-mxnet
|
python/mxnet/executor.py
|
Executor.arg_dict
|
def arg_dict(self):
"""Get dictionary representation of argument arrrays.
Returns
-------
arg_dict : dict of str to NDArray
The dictionary that maps the names of arguments to NDArrays.
Raises
------
ValueError : if there are duplicated names in the arguments.
"""
if self._arg_dict is None:
self._arg_dict = Executor._get_dict(
self._symbol.list_arguments(), self.arg_arrays)
return self._arg_dict
|
python
|
def arg_dict(self):
"""Get dictionary representation of argument arrrays.
Returns
-------
arg_dict : dict of str to NDArray
The dictionary that maps the names of arguments to NDArrays.
Raises
------
ValueError : if there are duplicated names in the arguments.
"""
if self._arg_dict is None:
self._arg_dict = Executor._get_dict(
self._symbol.list_arguments(), self.arg_arrays)
return self._arg_dict
|
[
"def",
"arg_dict",
"(",
"self",
")",
":",
"if",
"self",
".",
"_arg_dict",
"is",
"None",
":",
"self",
".",
"_arg_dict",
"=",
"Executor",
".",
"_get_dict",
"(",
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".",
"_symbol",
".",
"list_arguments",
"(",
")",
",",
"self",
".",
"arg_arrays",
")",
"return",
"self",
".",
"_arg_dict"
] |
Get dictionary representation of argument arrrays.
Returns
-------
arg_dict : dict of str to NDArray
The dictionary that maps the names of arguments to NDArrays.
Raises
------
ValueError : if there are duplicated names in the arguments.
|
[
"Get",
"dictionary",
"representation",
"of",
"argument",
"arrrays",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/executor.py#L263-L278
|
train
|
Get dictionary representation of arguments.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b110001 + 0o5) + chr(55), 0b1000), ehT0Px3KOsy9(chr(1667 - 1619) + chr(5863 - 5752) + chr(50) + chr(0b110110) + chr(0b11111 + 0o24), 62076 - 62068), ehT0Px3KOsy9(chr(528 - 480) + '\157' + chr(0b110010) + '\064' + '\062', 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + '\x37' + chr(0b101010 + 0o10), 50870 - 50862), ehT0Px3KOsy9('\060' + chr(0b101011 + 0o104) + chr(0b110010) + '\x35' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(1515 - 1404) + '\x32' + chr(325 - 273) + '\x32', 8), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b101100 + 0o103) + '\067' + chr(1946 - 1893), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4964 - 4853) + chr(2311 - 2261) + chr(0b110010 + 0o1) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100110 + 0o11) + chr(53) + chr(2035 - 1986), 37882 - 37874), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(534 - 479) + '\x35', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(1680 - 1627) + chr(1183 - 1131), 8), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(7051 - 6940) + chr(0b110 + 0o55) + '\064' + chr(0b110010), 11763 - 11755), ehT0Px3KOsy9('\060' + chr(2287 - 2176) + chr(49) + chr(1492 - 1444), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b110111) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2538 - 2487) + chr(48), 0o10), ehT0Px3KOsy9(chr(1691 - 1643) + chr(0b1101111) + '\062' + chr(2308 - 2256) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111 + 0o150) + '\x32' + chr(404 - 352) + chr(938 - 889), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\060' + chr(2417 - 2367), 0b1000), ehT0Px3KOsy9('\060' + chr(0b101110 + 0o101) + '\x32' + chr(1155 - 1107) + '\x32', 8), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + chr(0b110001) + '\062' + chr(0b110101), 32824 - 32816), ehT0Px3KOsy9(chr(48) + chr(111) + '\x34' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(951 - 902) + chr(0b110011) + chr(0b1111 + 0o45), 28407 - 28399), ehT0Px3KOsy9(chr(1258 - 1210) + chr(111) + chr(49) + chr(50) + chr(0b110000), 33272 - 33264), ehT0Px3KOsy9('\x30' + chr(0b11110 + 0o121) + '\061' + chr(1225 - 1175), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + chr(0b110001) + chr(50) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(7560 - 7449) + '\061' + '\065' + chr(0b110110), 33047 - 33039), ehT0Px3KOsy9('\060' + '\157' + chr(1675 - 1621) + chr(652 - 599), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8210 - 8099) + chr(0b10010 + 0o40) + chr(48) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + '\062' + chr(50) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(689 - 639) + chr(0b10 + 0o65) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(958 - 903) + '\x33', 20939 - 20931), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b101000 + 0o12), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(288 - 233) + chr(1784 - 1734), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(1806 - 1756), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(0b101101 + 0o10) + chr(0b110011 + 0o2), 46729 - 46721), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(792 - 741) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48 - 0) + '\157' + chr(1110 - 1060) + chr(0b101010 + 0o11) + chr(0b1111 + 0o41), 0o10), ehT0Px3KOsy9(chr(1009 - 961) + '\x6f' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(1071 - 1023) + chr(111) + chr(0b110011) + '\x34' + chr(2196 - 2143), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1084 - 1033) + '\067' + chr(55), 40361 - 40353)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(5142 - 5031) + '\065' + chr(48), 2443 - 2435)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'Y'), chr(3591 - 3491) + '\x65' + chr(9781 - 9682) + '\x6f' + chr(3701 - 3601) + '\x65')(chr(117) + '\x74' + '\146' + chr(1169 - 1124) + chr(1413 - 1357)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def XXPvg13AmiwJ(oVre8I6UXc3b):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'(\xd2\xd0]\xf3\xc6T\xfa]'), '\x64' + chr(0b1000101 + 0o40) + chr(903 - 804) + '\x6f' + chr(0b1100100) + chr(101))(chr(0b11110 + 0o127) + chr(0b1110100) + chr(102) + chr(0b101101) + '\070')) is None:
oVre8I6UXc3b.BG9X6et5SQSP = aO0NJ6MqBWIY._get_dict(oVre8I6UXc3b._symbol.list_arguments(), oVre8I6UXc3b.UID9bv6APUBD)
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'5\xf4\x9bb\x9a\xc7I\xaczl\xff\xb2'), '\144' + chr(0b111100 + 0o51) + chr(6374 - 6275) + '\x6f' + chr(0b1100100) + chr(0b1010011 + 0o22))(chr(0b111001 + 0o74) + chr(0b1010101 + 0o37) + chr(0b1100110) + '\055' + chr(1128 - 1072)))
|
apache/incubator-mxnet
|
python/mxnet/executor.py
|
Executor.grad_dict
|
def grad_dict(self):
"""Get dictionary representation of gradient arrays.
Returns
-------
grad_dict : dict of str to NDArray
The dictionary that maps name of arguments to gradient arrays.
"""
if self._grad_dict is None:
self._grad_dict = Executor._get_dict(
self._symbol.list_arguments(), self.grad_arrays)
return self._grad_dict
|
python
|
def grad_dict(self):
"""Get dictionary representation of gradient arrays.
Returns
-------
grad_dict : dict of str to NDArray
The dictionary that maps name of arguments to gradient arrays.
"""
if self._grad_dict is None:
self._grad_dict = Executor._get_dict(
self._symbol.list_arguments(), self.grad_arrays)
return self._grad_dict
|
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"_grad_dict",
"=",
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".",
"_get_dict",
"(",
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"_symbol",
".",
"list_arguments",
"(",
")",
",",
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".",
"grad_arrays",
")",
"return",
"self",
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"_grad_dict"
] |
Get dictionary representation of gradient arrays.
Returns
-------
grad_dict : dict of str to NDArray
The dictionary that maps name of arguments to gradient arrays.
|
[
"Get",
"dictionary",
"representation",
"of",
"gradient",
"arrays",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/executor.py#L281-L292
|
train
|
Get dictionary representation of gradient 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(1170 - 1122) + chr(0b1101111) + chr(1765 - 1715) + chr(0b11100 + 0o24), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110 + 0o151) + chr(2298 - 2248) + chr(1607 - 1559) + chr(0b110110), 65326 - 65318), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b11100 + 0o27) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(1430 - 1382) + chr(0b110001 + 0o76) + chr(0b110011) + chr(0b110010) + chr(1317 - 1269), 0b1000), ehT0Px3KOsy9('\x30' + chr(12116 - 12005) + chr(1139 - 1089) + chr(50) + chr(1819 - 1767), 0o10), ehT0Px3KOsy9(chr(664 - 616) + chr(9499 - 9388) + chr(537 - 488) + chr(2687 - 2635) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(496 - 448) + '\x6f' + chr(51) + '\x31' + chr(497 - 449), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1100100 + 0o13) + chr(49) + chr(0b110 + 0o52) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + '\x33' + chr(132 - 81) + chr(0b1 + 0o60), 0o10), ehT0Px3KOsy9(chr(1562 - 1514) + chr(111) + '\x32' + '\x32' + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(51) + chr(55), 32719 - 32711), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(0b110100) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1000010 + 0o55) + '\x31' + chr(0b110011) + '\060', 13463 - 13455), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1403 - 1353) + '\066' + chr(0b11 + 0o61), 29879 - 29871), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b1101 + 0o52) + chr(0b100111 + 0o11), ord("\x08")), ehT0Px3KOsy9(chr(1371 - 1323) + chr(111) + chr(51) + '\061' + '\x34', 7837 - 7829), ehT0Px3KOsy9(chr(1597 - 1549) + chr(6146 - 6035) + '\x37' + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1111 + 0o42) + chr(54) + chr(620 - 569), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101011 + 0o4) + '\062', 34351 - 34343), ehT0Px3KOsy9(chr(2286 - 2238) + '\x6f' + '\062' + chr(55) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + chr(50) + chr(0b110010) + chr(0b110111), 47605 - 47597), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101101 + 0o5) + chr(49) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2424 - 2374) + chr(0b110100) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(1760 - 1712) + chr(10272 - 10161) + '\x32' + chr(0b100110 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + '\061' + '\060' + chr(191 - 136), 3821 - 3813), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100111 + 0o12) + '\066' + '\065', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x34' + chr(1651 - 1597), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010000 + 0o37) + chr(0b0 + 0o62) + chr(52) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\067' + '\063', 19428 - 19420), ehT0Px3KOsy9(chr(550 - 502) + '\157' + chr(0b11010 + 0o30) + '\065' + chr(0b11 + 0o64), ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101110 + 0o1) + chr(51) + '\x34' + chr(55), 59722 - 59714), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(0b10011 + 0o37) + chr(0b11000 + 0o33), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b101000 + 0o107) + '\x33' + chr(0b100000 + 0o27) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(4780 - 4669) + chr(0b10011 + 0o37) + chr(0b1011 + 0o46) + '\x32', 0o10), ehT0Px3KOsy9(chr(63 - 15) + chr(0b100000 + 0o117) + '\062' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101011 + 0o4) + chr(750 - 700) + chr(1801 - 1751) + chr(0b111 + 0o53), 0o10), ehT0Px3KOsy9('\060' + chr(1964 - 1853) + '\x33' + chr(53), 0o10), ehT0Px3KOsy9(chr(1846 - 1798) + chr(111) + chr(2196 - 2145) + chr(0b100111 + 0o15) + '\062', 8), ehT0Px3KOsy9('\x30' + '\157' + '\x36' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(421 - 373) + '\157' + chr(2253 - 2198) + '\061', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + '\065' + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'>'), chr(0b1100100) + '\145' + '\x63' + chr(0b1101111) + chr(598 - 498) + chr(2966 - 2865))('\x75' + chr(10913 - 10797) + chr(381 - 279) + chr(1683 - 1638) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def EaelM0xUFg3M(oVre8I6UXc3b):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'O\xe1\xea\xb1\xf0?\xac)\xba\xe5'), chr(8554 - 8454) + chr(0b11111 + 0o106) + '\x63' + '\157' + '\144' + chr(9859 - 9758))(chr(0b1110101) + chr(0b1110100) + '\x66' + '\055' + chr(534 - 478))) is None:
oVre8I6UXc3b.qPhZaeDVEqmf = aO0NJ6MqBWIY._get_dict(oVre8I6UXc3b._symbol.list_arguments(), oVre8I6UXc3b._ffNipEkE2UF)
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'a\xd6\xf0\x8a\xf5\x05\x8c\x16\x9c\xe0\xf2\x84'), '\144' + '\x65' + '\x63' + '\x6f' + chr(747 - 647) + chr(0b1100101))('\165' + '\164' + '\146' + chr(0b10100 + 0o31) + chr(56)))
|
apache/incubator-mxnet
|
python/mxnet/executor.py
|
Executor.aux_dict
|
def aux_dict(self):
"""Get dictionary representation of auxiliary states arrays.
Returns
-------
aux_dict : dict of str to NDArray
The dictionary that maps name of auxiliary states to NDArrays.
Raises
------
ValueError : if there are duplicated names in the auxiliary states.
"""
if self._aux_dict is None:
self._aux_dict = Executor._get_dict(
self._symbol.list_auxiliary_states(), self.aux_arrays)
return self._aux_dict
|
python
|
def aux_dict(self):
"""Get dictionary representation of auxiliary states arrays.
Returns
-------
aux_dict : dict of str to NDArray
The dictionary that maps name of auxiliary states to NDArrays.
Raises
------
ValueError : if there are duplicated names in the auxiliary states.
"""
if self._aux_dict is None:
self._aux_dict = Executor._get_dict(
self._symbol.list_auxiliary_states(), self.aux_arrays)
return self._aux_dict
|
[
"def",
"aux_dict",
"(",
"self",
")",
":",
"if",
"self",
".",
"_aux_dict",
"is",
"None",
":",
"self",
".",
"_aux_dict",
"=",
"Executor",
".",
"_get_dict",
"(",
"self",
".",
"_symbol",
".",
"list_auxiliary_states",
"(",
")",
",",
"self",
".",
"aux_arrays",
")",
"return",
"self",
".",
"_aux_dict"
] |
Get dictionary representation of auxiliary states arrays.
Returns
-------
aux_dict : dict of str to NDArray
The dictionary that maps name of auxiliary states to NDArrays.
Raises
------
ValueError : if there are duplicated names in the auxiliary states.
|
[
"Get",
"dictionary",
"representation",
"of",
"auxiliary",
"states",
"arrays",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/executor.py#L295-L310
|
train
|
Get dictionary representation of auxiliary states 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(0b101 + 0o53) + chr(0b100 + 0o153) + chr(2234 - 2184), 0o10), ehT0Px3KOsy9(chr(978 - 930) + chr(0b10 + 0o155) + chr(0b10001 + 0o42) + '\060' + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(2016 - 1967) + chr(1600 - 1547) + chr(54), 56847 - 56839), ehT0Px3KOsy9(chr(48) + chr(0b11 + 0o154) + chr(50) + '\x35' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + '\x31' + chr(0b111 + 0o55), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\x30' + chr(0b110 + 0o61), 58005 - 57997), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(2160 - 2109) + '\x31', 9912 - 9904), ehT0Px3KOsy9('\060' + chr(10609 - 10498) + '\x34' + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(1627 - 1572) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1658 - 1604) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(0b101 + 0o61) + '\x31', 24016 - 24008), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + '\063' + '\060' + chr(0b101100 + 0o12), 0o10), ehT0Px3KOsy9('\060' + chr(3027 - 2916) + chr(0b11010 + 0o27) + chr(0b100110 + 0o13) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10165 - 10054) + chr(49) + chr(0b101110 + 0o3) + chr(50), 40911 - 40903), ehT0Px3KOsy9('\060' + chr(0b101101 + 0o102) + chr(54) + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(0b1100001 + 0o16) + '\063' + chr(54) + '\x31', 40390 - 40382), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + '\061' + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(10372 - 10261) + '\062' + chr(0b11100 + 0o30) + '\x37', 22910 - 22902), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\066' + chr(0b101001 + 0o7), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + '\x31' + chr(0b110001) + chr(0b11100 + 0o27), 0o10), ehT0Px3KOsy9(chr(954 - 906) + chr(8565 - 8454) + chr(0b110000 + 0o4) + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(2741 - 2687) + chr(53), 3022 - 3014), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\060' + '\x35', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(1520 - 1470) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100001 + 0o116) + chr(0b110 + 0o60) + '\x30', 8), ehT0Px3KOsy9('\060' + chr(111) + '\063' + '\x31' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(1793 - 1745) + chr(0b100001 + 0o17), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11100 + 0o123) + '\x31' + chr(0b110 + 0o54) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100010 + 0o17) + chr(0b11101 + 0o24), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1000110 + 0o51) + chr(0b110000 + 0o3) + '\x36' + '\061', 8), ehT0Px3KOsy9(chr(1965 - 1917) + chr(0b1101001 + 0o6) + chr(0b11100 + 0o25) + '\064', 8), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\063' + chr(48), 50918 - 50910), ehT0Px3KOsy9(chr(627 - 579) + chr(111) + '\x31' + chr(0b101100 + 0o7) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + chr(1998 - 1949) + chr(53) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(608 - 554) + chr(0b0 + 0o65), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5749 - 5638) + chr(0b10110 + 0o33) + '\x33' + chr(2144 - 2094), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\067' + chr(0b100010 + 0o17), 0b1000), ehT0Px3KOsy9('\x30' + chr(5221 - 5110) + chr(0b110011) + chr(81 - 26) + chr(0b1 + 0o61), 8), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b110011 + 0o74) + chr(0b100010 + 0o17) + '\061' + chr(0b1100 + 0o47), 8), ehT0Px3KOsy9(chr(48) + chr(0b11111 + 0o120) + chr(0b101000 + 0o13) + chr(0b101101 + 0o11) + chr(0b11111 + 0o30), 36271 - 36263)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(2328 - 2275) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b','), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1101111) + '\144' + chr(0b1100001 + 0o4))(chr(0b1110101) + chr(0b100000 + 0o124) + '\x66' + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def BVaXgzZQWLIU(oVre8I6UXc3b):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b']\xa4\x1b\xd4S\xe30G\x8e'), chr(0b1111 + 0o125) + chr(101) + chr(0b1100011) + '\157' + chr(100) + chr(101))('\165' + chr(116) + chr(0b1111 + 0o127) + '\055' + '\x38')) is None:
oVre8I6UXc3b.TcqnMPyoKFbh = aO0NJ6MqBWIY._get_dict(oVre8I6UXc3b._symbol.list_auxiliary_states(), oVre8I6UXc3b.TQRMEe8h7JM9)
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'V\xa6\x1f\xc2A\xd7 K\xb1v\xd3\xae'), '\144' + chr(0b110010 + 0o63) + chr(99) + '\157' + chr(4800 - 4700) + chr(0b1010011 + 0o22))('\x75' + chr(0b1001 + 0o153) + '\x66' + chr(45) + chr(56)))
|
apache/incubator-mxnet
|
python/mxnet/executor.py
|
Executor.output_dict
|
def output_dict(self):
"""Get dictionary representation of output arrays.
Returns
-------
output_dict : dict of str to NDArray
The dictionary that maps name of output names to NDArrays.
Raises
------
ValueError : if there are duplicated names in the outputs.
"""
if self._output_dict is None:
self._output_dict = Executor._get_dict(
self._symbol.list_outputs(), self.outputs)
return self._output_dict
|
python
|
def output_dict(self):
"""Get dictionary representation of output arrays.
Returns
-------
output_dict : dict of str to NDArray
The dictionary that maps name of output names to NDArrays.
Raises
------
ValueError : if there are duplicated names in the outputs.
"""
if self._output_dict is None:
self._output_dict = Executor._get_dict(
self._symbol.list_outputs(), self.outputs)
return self._output_dict
|
[
"def",
"output_dict",
"(",
"self",
")",
":",
"if",
"self",
".",
"_output_dict",
"is",
"None",
":",
"self",
".",
"_output_dict",
"=",
"Executor",
".",
"_get_dict",
"(",
"self",
".",
"_symbol",
".",
"list_outputs",
"(",
")",
",",
"self",
".",
"outputs",
")",
"return",
"self",
".",
"_output_dict"
] |
Get dictionary representation of output arrays.
Returns
-------
output_dict : dict of str to NDArray
The dictionary that maps name of output names to NDArrays.
Raises
------
ValueError : if there are duplicated names in the outputs.
|
[
"Get",
"dictionary",
"representation",
"of",
"output",
"arrays",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/executor.py#L313-L328
|
train
|
Get dictionary representation of output 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(48) + chr(111) + '\x31' + '\066' + '\067', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b110010) + '\066', 5493 - 5485), ehT0Px3KOsy9('\x30' + chr(7332 - 7221) + '\062' + '\x31' + chr(50), 14680 - 14672), ehT0Px3KOsy9(chr(0b110000) + chr(5741 - 5630) + chr(49) + '\x30' + chr(2157 - 2108), ord("\x08")), ehT0Px3KOsy9(chr(316 - 268) + chr(0b1101111) + chr(49) + '\x31' + chr(0b1 + 0o60), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10111 + 0o34) + chr(1689 - 1640) + '\x30', 62339 - 62331), ehT0Px3KOsy9(chr(1293 - 1245) + chr(0b111111 + 0o60) + chr(2861 - 2807) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(692 - 644) + '\x6f' + chr(0b110001) + chr(2608 - 2556) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x36' + chr(0b10000 + 0o44), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(1733 - 1679) + chr(806 - 754), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b10011 + 0o134) + chr(0b110 + 0o55) + chr(0b110000) + chr(1790 - 1735), 32229 - 32221), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b101110 + 0o3) + chr(484 - 432), 6078 - 6070), ehT0Px3KOsy9(chr(323 - 275) + chr(0b1101111) + chr(0b1111 + 0o46) + chr(55), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b11110 + 0o31) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(5569 - 5458) + chr(49) + chr(48) + '\x37', 53683 - 53675), ehT0Px3KOsy9(chr(48) + chr(0b100101 + 0o112) + chr(2067 - 2017) + chr(0b110001) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b110101) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010101 + 0o32) + chr(0b110001) + chr(349 - 295) + chr(1993 - 1941), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(906 - 855) + chr(0b10100 + 0o37) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111011 + 0o64) + chr(49) + chr(49) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b110010) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110100) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10 + 0o155) + chr(663 - 613) + chr(1102 - 1053), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011001 + 0o26) + '\x31' + chr(0b101111 + 0o10) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001100 + 0o43) + chr(0b110011) + chr(0b110010) + chr(54), 60611 - 60603), ehT0Px3KOsy9(chr(2065 - 2017) + '\x6f' + '\x31' + chr(0b110111) + '\064', 61628 - 61620), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(3314 - 3203) + '\066' + '\x31', 19593 - 19585), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2496 - 2443) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101011 + 0o4) + chr(1205 - 1155) + chr(1642 - 1591) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10850 - 10739) + chr(50) + chr(55) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(209 - 159) + chr(51) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b100100 + 0o14) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x34' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(206 - 158) + chr(111) + chr(0b101110 + 0o4) + chr(0b10000 + 0o43) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\065' + chr(1610 - 1561), 0b1000), ehT0Px3KOsy9(chr(906 - 858) + chr(0b1101111) + chr(575 - 526) + chr(979 - 928) + chr(0b110000 + 0o1), 0b1000), ehT0Px3KOsy9(chr(922 - 874) + chr(0b1101111) + chr(51) + '\065' + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\062' + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(1976 - 1865) + chr(49) + '\x37' + chr(0b100010 + 0o20), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + '\x35' + chr(0b10011 + 0o35), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'Y'), chr(100) + chr(101) + chr(0b1100011) + chr(111) + '\144' + chr(101))(chr(117) + '\x74' + chr(0b110010 + 0o64) + chr(0b101101) + chr(1708 - 1652)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def lLl7Ukcn67KO(oVre8I6UXc3b):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'(\xf9\xff59\xbd@9P\xdd\xa4\xf8'), chr(1446 - 1346) + chr(1679 - 1578) + '\x63' + chr(8653 - 8542) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(6533 - 6417) + '\x66' + '\055' + chr(0b111000))) is None:
oVre8I6UXc3b.lUjLvh4eDfcs = aO0NJ6MqBWIY._get_dict(oVre8I6UXc3b._symbol.list_outputs(), oVre8I6UXc3b.Dx_DllZ8uCko)
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b\xc3\xe0\r?\xa0\x00\x03p\xd2\xa4\xff'), '\x64' + '\x65' + chr(0b1100011) + '\x6f' + chr(0b101 + 0o137) + '\x65')(chr(0b1001101 + 0o50) + '\x74' + chr(0b1100110) + chr(0b101000 + 0o5) + '\x38'))
|
apache/incubator-mxnet
|
python/mxnet/executor.py
|
Executor.copy_params_from
|
def copy_params_from(self, arg_params, aux_params=None, allow_extra_params=False):
"""Copy parameters from arg_params, aux_params into executor's internal array.
Parameters
----------
arg_params : dict of str to NDArray
Parameters, dict of name to NDArray of arguments.
aux_params : dict of str to NDArray, optional
Parameters, dict of name to NDArray of auxiliary states.
allow_extra_params : 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.
Raises
------
ValueError
If there is additional parameters in the dict but ``allow_extra_params=False``.
Examples
--------
>>> # set parameters with existing model checkpoint
>>> model_prefix = 'mx_mlp'
>>> sym, arg_params, aux_params = mx.model.load_checkpoint(model_prefix, 0)
>>> texec.copy_params_from(arg_params, aux_params)
"""
for name, array in arg_params.items():
if name in self.arg_dict:
dst = self.arg_dict[name]
array.astype(dst.dtype).copyto(dst)
elif not allow_extra_params:
raise ValueError('Find name \"%s\" that is not in the arguments' % name)
if aux_params is None:
return
for name, array in aux_params.items():
if name in self.aux_dict:
dst = self.aux_dict[name]
array.astype(dst.dtype).copyto(dst)
elif not allow_extra_params:
raise ValueError('Find name %s that is not in the auxiliary states' % name)
|
python
|
def copy_params_from(self, arg_params, aux_params=None, allow_extra_params=False):
"""Copy parameters from arg_params, aux_params into executor's internal array.
Parameters
----------
arg_params : dict of str to NDArray
Parameters, dict of name to NDArray of arguments.
aux_params : dict of str to NDArray, optional
Parameters, dict of name to NDArray of auxiliary states.
allow_extra_params : 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.
Raises
------
ValueError
If there is additional parameters in the dict but ``allow_extra_params=False``.
Examples
--------
>>> # set parameters with existing model checkpoint
>>> model_prefix = 'mx_mlp'
>>> sym, arg_params, aux_params = mx.model.load_checkpoint(model_prefix, 0)
>>> texec.copy_params_from(arg_params, aux_params)
"""
for name, array in arg_params.items():
if name in self.arg_dict:
dst = self.arg_dict[name]
array.astype(dst.dtype).copyto(dst)
elif not allow_extra_params:
raise ValueError('Find name \"%s\" that is not in the arguments' % name)
if aux_params is None:
return
for name, array in aux_params.items():
if name in self.aux_dict:
dst = self.aux_dict[name]
array.astype(dst.dtype).copyto(dst)
elif not allow_extra_params:
raise ValueError('Find name %s that is not in the auxiliary states' % name)
|
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] |
Copy parameters from arg_params, aux_params into executor's internal array.
Parameters
----------
arg_params : dict of str to NDArray
Parameters, dict of name to NDArray of arguments.
aux_params : dict of str to NDArray, optional
Parameters, dict of name to NDArray of auxiliary states.
allow_extra_params : 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.
Raises
------
ValueError
If there is additional parameters in the dict but ``allow_extra_params=False``.
Examples
--------
>>> # set parameters with existing model checkpoint
>>> model_prefix = 'mx_mlp'
>>> sym, arg_params, aux_params = mx.model.load_checkpoint(model_prefix, 0)
>>> texec.copy_params_from(arg_params, aux_params)
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/executor.py#L330-L373
|
train
|
Copy parameters from arg_params aux_params into executor s internal 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(1565 - 1517) + '\157' + chr(0b110100) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(2033 - 1984) + '\067' + '\065', 61017 - 61009), ehT0Px3KOsy9(chr(48) + chr(0b101 + 0o152) + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111 + 0o150) + chr(0b100111 + 0o14) + chr(0b1111 + 0o47) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(6326 - 6215) + chr(0b100100 + 0o20) + chr(1688 - 1633), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1100101 + 0o12) + chr(51) + chr(2417 - 2364) + chr(2042 - 1987), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + '\x35' + chr(0b11011 + 0o30), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\065' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(2035 - 1987) + chr(8697 - 8586) + chr(0b101000 + 0o12) + chr(0b10000 + 0o43) + chr(0b110000 + 0o3), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + chr(0b110010) + chr(773 - 725) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1758 - 1710) + chr(0b1100111 + 0o10) + chr(0b110001) + chr(0b1010 + 0o55), 10307 - 10299), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(10501 - 10390) + chr(0b110011) + chr(55) + chr(1449 - 1401), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101011 + 0o10) + chr(2647 - 2593) + chr(2507 - 2455), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\x35' + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(1504 - 1452) + chr(0b110011), 10215 - 10207), ehT0Px3KOsy9(chr(783 - 735) + chr(0b1101111) + '\062' + '\065' + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b110100) + chr(0b100110 + 0o12), 57807 - 57799), ehT0Px3KOsy9('\x30' + chr(0b101011 + 0o104) + chr(50) + chr(52) + chr(0b100010 + 0o21), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b110011) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101101 + 0o10) + chr(0b100111 + 0o14), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + '\x31' + chr(79 - 31), 20760 - 20752), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(0b110011) + chr(0b100100 + 0o23) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(1348 - 1296) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101100 + 0o5) + chr(0b11010 + 0o35) + chr(0b100101 + 0o22), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110000 + 0o3) + chr(0b1101 + 0o52) + chr(1588 - 1536), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(48) + chr(2604 - 2551), 18575 - 18567), ehT0Px3KOsy9(chr(88 - 40) + chr(0b1101111) + chr(2872 - 2818) + chr(1544 - 1489), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(778 - 729) + chr(1340 - 1287) + chr(51), 15088 - 15080), ehT0Px3KOsy9('\060' + '\157' + chr(640 - 590) + '\x36' + chr(0b100000 + 0o26), ord("\x08")), ehT0Px3KOsy9('\060' + chr(7335 - 7224) + chr(50) + chr(0b110111) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2327 - 2276) + chr(0b101101 + 0o12) + '\063', 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(51) + chr(51), 26162 - 26154), ehT0Px3KOsy9('\x30' + chr(4474 - 4363) + chr(0b110001) + chr(0b110100) + chr(0b110110), 31493 - 31485), ehT0Px3KOsy9('\060' + chr(0b1010011 + 0o34) + chr(1385 - 1336) + chr(1285 - 1232) + chr(0b101000 + 0o11), ord("\x08")), ehT0Px3KOsy9('\060' + chr(2717 - 2606) + '\067' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11100 + 0o25) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1351 - 1301) + '\x31' + '\064', 22923 - 22915), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(579 - 468) + chr(0b110101) + chr(1806 - 1758), 0b1000), ehT0Px3KOsy9(chr(1862 - 1814) + chr(3296 - 3185) + chr(0b101011 + 0o12) + chr(0b110100), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + chr(0b10110 + 0o37) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f'), chr(100) + '\x65' + '\143' + chr(0b101011 + 0o104) + '\144' + '\145')(chr(8420 - 8303) + chr(12439 - 12323) + chr(0b10110 + 0o120) + '\055' + chr(546 - 490)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZeqvzS6ZQ40q(oVre8I6UXc3b, GroVdzCONmWS, p9GVyAqRTTRh=None, GpJQqGL33Te0=ehT0Px3KOsy9(chr(977 - 929) + chr(12079 - 11968) + chr(0b101111 + 0o1), 8)):
for (AIvJRzLdDfgF, B0ePDhpqxN5n) in xafqLlk3kkUe(GroVdzCONmWS, xafqLlk3kkUe(SXOLrMavuUCe(b'o\x07v\x90n\xb5\xd8\xa3\xf7\xd5G='), chr(2703 - 2603) + chr(101) + chr(0b1001110 + 0o25) + chr(0b1101111) + '\144' + '\145')('\x75' + chr(0b100001 + 0o123) + chr(7064 - 6962) + chr(358 - 313) + chr(311 - 255)))():
if AIvJRzLdDfgF in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'y%P\x83@\xde\xd8\xab\xf6\xefxN'), '\x64' + '\145' + chr(7181 - 7082) + '\157' + chr(100) + '\145')('\165' + chr(9457 - 9341) + chr(0b1010110 + 0o20) + chr(0b101101) + chr(0b111000))):
Aky7aA14BULG = oVre8I6UXc3b.XXPvg13AmiwJ[AIvJRzLdDfgF]
xafqLlk3kkUe(B0ePDhpqxN5n.astype(Aky7aA14BULG.dtype), xafqLlk3kkUe(SXOLrMavuUCe(b'B\x12p\x8cS\x80'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(1943 - 1843) + chr(0b111011 + 0o52))('\x75' + chr(11756 - 11640) + chr(9105 - 9003) + chr(0b101010 + 0o3) + '\070'))(Aky7aA14BULG)
elif not GpJQqGL33Te0:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'g\x14n\x91\x07\x81\x8a\x87\xfe\xa6-!\x8b\xd6L\xd7\xc0\xc1\xd7yB;\xdd\r\x10\x88\xe5^\x05\x96\xca\x93~F\x08Mn\xf9EIO\ts'), '\144' + chr(101) + chr(99) + chr(0b1101111) + chr(100) + chr(101))('\x75' + chr(0b1000111 + 0o55) + '\x66' + chr(0b101101) + chr(56)) % AIvJRzLdDfgF)
if p9GVyAqRTTRh is None:
return
for (AIvJRzLdDfgF, B0ePDhpqxN5n) in xafqLlk3kkUe(p9GVyAqRTTRh, xafqLlk3kkUe(SXOLrMavuUCe(b'o\x07v\x90n\xb5\xd8\xa3\xf7\xd5G='), '\144' + chr(101) + '\x63' + '\x6f' + chr(9238 - 9138) + chr(101))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(0b11001 + 0o24) + chr(491 - 435)))():
if AIvJRzLdDfgF in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'@\x08x\xaaC\x86\x88\x9e'), chr(0b100001 + 0o103) + chr(0b101111 + 0o66) + chr(99) + chr(111) + '\144' + chr(0b1100101))(chr(0b1110101) + '\164' + '\146' + chr(0b101101) + chr(1346 - 1290))):
Aky7aA14BULG = oVre8I6UXc3b.aux_dict[AIvJRzLdDfgF]
xafqLlk3kkUe(B0ePDhpqxN5n.astype(Aky7aA14BULG.dtype), xafqLlk3kkUe(SXOLrMavuUCe(b'B\x12p\x8cS\x80'), '\x64' + chr(0b1011000 + 0o15) + '\143' + chr(10674 - 10563) + chr(0b1001001 + 0o33) + chr(101))(chr(188 - 71) + chr(0b1011000 + 0o34) + '\x66' + chr(1430 - 1385) + chr(1477 - 1421)))(Aky7aA14BULG)
elif not GpJQqGL33Te0:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'g\x14n\x91\x07\x81\x8a\x87\xfe\xa6*w\xd8\x80\x04\xc2\xdc\x80\xca*\x0b&\x92\x17_\x95\xab\x17\x1f\xde\xdb\xdbz\x13\x11Ve\xe5I^X]s\x81F\x9b\x8e\x99'), '\144' + chr(4187 - 4086) + '\x63' + '\x6f' + '\144' + chr(0b1001010 + 0o33))(chr(0b100110 + 0o117) + chr(0b101110 + 0o106) + chr(750 - 648) + chr(722 - 677) + chr(0b100110 + 0o22)) % AIvJRzLdDfgF)
|
apache/incubator-mxnet
|
python/mxnet/executor.py
|
Executor.reshape
|
def reshape(self, partial_shaping=False, allow_up_sizing=False, **kwargs):
"""Return a new executor with the same symbol and shared memory,
but different input/output shapes.
For runtime reshaping, variable length sequences, etc.
The returned executor shares state with the current one,
and cannot be used in parallel with it.
Parameters
----------
partial_shaping : bool
Whether to allow changing the shape of unspecified arguments.
allow_up_sizing : bool
Whether to allow allocating new ndarrays that's larger than the original.
kwargs : dict of string to tuple of int
New shape for arguments.
Returns
-------
exec : Executor
A new executor that shares memory with self.
Examples
--------
>>> a = mx.sym.Variable('a')
>>> b = mx.sym.Variable('b')
>>> c = 2 * a + b
>>> texec = c.bind(mx.cpu(), {'a': mx.nd.zeros((2, 1)), 'b': mx.nd.ones((2,1))})
>>> new_shape = {'a': (4, 2), 'b': (4, 2)}
>>> texec.reshape(allow_up_sizing=True, **new_shape)
"""
# pylint: disable=too-many-branches
provided_arg_shape_data = [] # shape data
# argument shape index in sdata,
# e.g. [sdata[indptr[0]], sdata[indptr[1]]) is the shape of the first arg
provided_arg_shape_idx = [0]
provided_arg_shape_names = [] # provided argument names
for k, v in kwargs.items():
if isinstance(v, tuple):
provided_arg_shape_names.append(k)
provided_arg_shape_data.extend(v)
provided_arg_shape_idx.append(len(provided_arg_shape_data))
ctx_map_keys = []
ctx_map_dev_types = []
ctx_map_dev_ids = []
if self._group2ctx:
for key, val in self._group2ctx.items():
ctx_map_keys.append(key)
ctx_map_dev_types.append(val.device_typeid)
ctx_map_dev_ids.append(val.device_id)
handle = ExecutorHandle()
shared_handle = self.handle
num_in_args = ctypes.c_uint()
in_arg_handles = ctypes.POINTER(NDArrayHandle)()
arg_grad_handles = ctypes.POINTER(NDArrayHandle)()
num_aux_states = ctypes.c_uint()
aux_state_handles = ctypes.POINTER(NDArrayHandle)()
check_call(_LIB.MXExecutorReshapeEx(ctypes.c_int(int(partial_shaping)),
ctypes.c_int(int(allow_up_sizing)),
ctypes.c_int(self._ctx.device_typeid),
ctypes.c_int(self._ctx.device_id),
mx_uint(len(ctx_map_keys)),
c_str_array(ctx_map_keys),
c_array_buf(ctypes.c_int,
py_array('i', ctx_map_dev_types)),
c_array_buf(ctypes.c_int,
py_array('i', ctx_map_dev_ids)),
mx_uint(len(provided_arg_shape_names)),
c_str_array(provided_arg_shape_names),
c_array_buf(mx_int,
py_array('i', provided_arg_shape_data)),
c_array_buf(mx_uint,
py_array('I', provided_arg_shape_idx)),
ctypes.byref(num_in_args),
ctypes.byref(in_arg_handles),
ctypes.byref(arg_grad_handles),
ctypes.byref(num_aux_states),
ctypes.byref(aux_state_handles),
shared_handle,
ctypes.byref(handle)))
arg_arrays = [_ndarray_cls(NDArrayHandle(in_arg_handles[i]))
for i in range(num_in_args.value)]
grad_arrays = [_ndarray_cls(NDArrayHandle(arg_grad_handles[i]))
if arg_grad_handles[i] is not None
else None for i in range(num_in_args.value)]
aux_arrays = [_ndarray_cls(NDArrayHandle(aux_state_handles[i]))
for i in range(num_aux_states.value)]
executor = Executor(handle, self._symbol, self._ctx, self._grad_req, self._group2ctx)
executor.arg_arrays = arg_arrays
executor.grad_arrays = grad_arrays
executor.aux_arrays = aux_arrays
return executor
|
python
|
def reshape(self, partial_shaping=False, allow_up_sizing=False, **kwargs):
"""Return a new executor with the same symbol and shared memory,
but different input/output shapes.
For runtime reshaping, variable length sequences, etc.
The returned executor shares state with the current one,
and cannot be used in parallel with it.
Parameters
----------
partial_shaping : bool
Whether to allow changing the shape of unspecified arguments.
allow_up_sizing : bool
Whether to allow allocating new ndarrays that's larger than the original.
kwargs : dict of string to tuple of int
New shape for arguments.
Returns
-------
exec : Executor
A new executor that shares memory with self.
Examples
--------
>>> a = mx.sym.Variable('a')
>>> b = mx.sym.Variable('b')
>>> c = 2 * a + b
>>> texec = c.bind(mx.cpu(), {'a': mx.nd.zeros((2, 1)), 'b': mx.nd.ones((2,1))})
>>> new_shape = {'a': (4, 2), 'b': (4, 2)}
>>> texec.reshape(allow_up_sizing=True, **new_shape)
"""
# pylint: disable=too-many-branches
provided_arg_shape_data = [] # shape data
# argument shape index in sdata,
# e.g. [sdata[indptr[0]], sdata[indptr[1]]) is the shape of the first arg
provided_arg_shape_idx = [0]
provided_arg_shape_names = [] # provided argument names
for k, v in kwargs.items():
if isinstance(v, tuple):
provided_arg_shape_names.append(k)
provided_arg_shape_data.extend(v)
provided_arg_shape_idx.append(len(provided_arg_shape_data))
ctx_map_keys = []
ctx_map_dev_types = []
ctx_map_dev_ids = []
if self._group2ctx:
for key, val in self._group2ctx.items():
ctx_map_keys.append(key)
ctx_map_dev_types.append(val.device_typeid)
ctx_map_dev_ids.append(val.device_id)
handle = ExecutorHandle()
shared_handle = self.handle
num_in_args = ctypes.c_uint()
in_arg_handles = ctypes.POINTER(NDArrayHandle)()
arg_grad_handles = ctypes.POINTER(NDArrayHandle)()
num_aux_states = ctypes.c_uint()
aux_state_handles = ctypes.POINTER(NDArrayHandle)()
check_call(_LIB.MXExecutorReshapeEx(ctypes.c_int(int(partial_shaping)),
ctypes.c_int(int(allow_up_sizing)),
ctypes.c_int(self._ctx.device_typeid),
ctypes.c_int(self._ctx.device_id),
mx_uint(len(ctx_map_keys)),
c_str_array(ctx_map_keys),
c_array_buf(ctypes.c_int,
py_array('i', ctx_map_dev_types)),
c_array_buf(ctypes.c_int,
py_array('i', ctx_map_dev_ids)),
mx_uint(len(provided_arg_shape_names)),
c_str_array(provided_arg_shape_names),
c_array_buf(mx_int,
py_array('i', provided_arg_shape_data)),
c_array_buf(mx_uint,
py_array('I', provided_arg_shape_idx)),
ctypes.byref(num_in_args),
ctypes.byref(in_arg_handles),
ctypes.byref(arg_grad_handles),
ctypes.byref(num_aux_states),
ctypes.byref(aux_state_handles),
shared_handle,
ctypes.byref(handle)))
arg_arrays = [_ndarray_cls(NDArrayHandle(in_arg_handles[i]))
for i in range(num_in_args.value)]
grad_arrays = [_ndarray_cls(NDArrayHandle(arg_grad_handles[i]))
if arg_grad_handles[i] is not None
else None for i in range(num_in_args.value)]
aux_arrays = [_ndarray_cls(NDArrayHandle(aux_state_handles[i]))
for i in range(num_aux_states.value)]
executor = Executor(handle, self._symbol, self._ctx, self._grad_req, self._group2ctx)
executor.arg_arrays = arg_arrays
executor.grad_arrays = grad_arrays
executor.aux_arrays = aux_arrays
return executor
|
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] |
Return a new executor with the same symbol and shared memory,
but different input/output shapes.
For runtime reshaping, variable length sequences, etc.
The returned executor shares state with the current one,
and cannot be used in parallel with it.
Parameters
----------
partial_shaping : bool
Whether to allow changing the shape of unspecified arguments.
allow_up_sizing : bool
Whether to allow allocating new ndarrays that's larger than the original.
kwargs : dict of string to tuple of int
New shape for arguments.
Returns
-------
exec : Executor
A new executor that shares memory with self.
Examples
--------
>>> a = mx.sym.Variable('a')
>>> b = mx.sym.Variable('b')
>>> c = 2 * a + b
>>> texec = c.bind(mx.cpu(), {'a': mx.nd.zeros((2, 1)), 'b': mx.nd.ones((2,1))})
>>> new_shape = {'a': (4, 2), 'b': (4, 2)}
>>> texec.reshape(allow_up_sizing=True, **new_shape)
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/executor.py#L375-L472
|
train
|
Return a new executor with the same symbol and shared memory but different input and output shapes.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(0b110110 + 0o0) + '\065', 32992 - 32984), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b1000 + 0o53) + '\060', 0b1000), ehT0Px3KOsy9(chr(1133 - 1085) + chr(0b10101 + 0o132) + chr(0b11 + 0o64) + '\x32', 64757 - 64749), ehT0Px3KOsy9('\060' + chr(0b1100 + 0o143) + chr(0b110111) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(2286 - 2175) + chr(1052 - 1002) + chr(0b110000), 12216 - 12208), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b101101 + 0o10) + '\065', 47031 - 47023), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110110) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(49) + chr(1205 - 1157) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(1902 - 1854) + chr(0b1101111) + chr(137 - 88) + chr(0b100011 + 0o24) + chr(0b110001 + 0o1), 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(0b100 + 0o61) + '\x30', 34393 - 34385), ehT0Px3KOsy9('\060' + chr(9194 - 9083) + chr(0b110011) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(1418 - 1369) + '\x34', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1101 + 0o46) + chr(0b100011 + 0o20), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1304 - 1254) + chr(0b101111 + 0o3) + chr(50), 60519 - 60511), ehT0Px3KOsy9('\x30' + chr(115 - 4) + chr(50) + chr(145 - 92) + chr(349 - 297), 0o10), ehT0Px3KOsy9(chr(1236 - 1188) + '\157' + chr(51) + chr(0b110101) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(3582 - 3471) + '\062' + '\x36' + '\064', 28054 - 28046), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(55) + chr(1450 - 1400), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(54) + chr(50), 17172 - 17164), ehT0Px3KOsy9('\060' + '\157' + chr(0b110111) + chr(50), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(2273 - 2222) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(964 - 916) + chr(0b1101111) + chr(611 - 558) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(0b110011 + 0o0) + chr(649 - 601) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100111 + 0o110) + chr(1427 - 1375), ord("\x08")), ehT0Px3KOsy9(chr(267 - 219) + chr(0b1001101 + 0o42) + chr(0b0 + 0o62) + chr(0b11110 + 0o25), 48763 - 48755), ehT0Px3KOsy9('\x30' + chr(0b1011000 + 0o27) + chr(2048 - 1997) + chr(51) + chr(48), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(49) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\x32' + chr(52), 29000 - 28992), ehT0Px3KOsy9(chr(444 - 396) + '\157' + chr(0b110011) + '\x36' + chr(277 - 224), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(0b110010) + '\065' + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + '\x32' + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(1873 - 1824) + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1874 - 1824) + chr(49) + chr(897 - 845), 8), ehT0Px3KOsy9('\x30' + chr(1688 - 1577) + '\061' + '\063' + chr(2631 - 2579), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(2230 - 2177) + '\061', 23659 - 23651), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(0b110011) + chr(55) + chr(2177 - 2122), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(445 - 396) + chr(0b110100) + chr(1342 - 1292), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b1111 + 0o42) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(1506 - 1458) + chr(0b10011 + 0o134) + chr(50) + chr(1069 - 1016) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b110111) + chr(0b110000), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b11111 + 0o120) + chr(53) + chr(0b110 + 0o52), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'['), chr(100) + chr(0b1100101) + chr(99) + chr(7455 - 7344) + chr(0b1100100) + '\x65')('\x75' + '\164' + '\x66' + chr(104 - 59) + chr(0b101001 + 0o17)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def CZESqVmz1gYg(oVre8I6UXc3b, aJRqCcSmDI6x=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110000), 0o10), bKA0ivcixVO_=ehT0Px3KOsy9('\060' + chr(111) + chr(977 - 929), 8), **M8EIoTs2GJXE):
AvrJw3MI_4Zf = []
B8SQdU8tuauH = [ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1011010 + 0o25) + chr(0b110000), 8)]
c_6hdT_RGzHC = []
for (OolUPRJhRaJd, cMbll0QYhULo) in xafqLlk3kkUe(M8EIoTs2GJXE, xafqLlk3kkUe(SXOLrMavuUCe(b';\xa2LYY\xb7A\x0b\x16{U\xb5'), chr(0b1010110 + 0o16) + chr(4051 - 3950) + chr(0b1100011) + chr(0b110 + 0o151) + chr(1366 - 1266) + '\x65')(chr(117) + chr(0b10110 + 0o136) + '\146' + chr(0b101101) + '\070'))():
if PlSM16l2KDPD(cMbll0QYhULo, KNyTy8rYcwji):
xafqLlk3kkUe(c_6hdT_RGzHC, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\xa8JY~\x89'), '\x64' + '\x65' + chr(0b1100011) + chr(111) + chr(0b11011 + 0o111) + '\145')(chr(0b111101 + 0o70) + '\x74' + '\x66' + chr(0b1100 + 0o41) + chr(0b111000)))(OolUPRJhRaJd)
xafqLlk3kkUe(AvrJw3MI_4Zf, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10\xa0NY~\x89'), chr(0b1011000 + 0o14) + chr(101) + chr(0b1100011) + '\157' + chr(100) + chr(0b1100101))(chr(117) + chr(0b1101100 + 0o10) + chr(102) + chr(0b1001 + 0o44) + chr(56)))(cMbll0QYhULo)
xafqLlk3kkUe(B8SQdU8tuauH, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\xa8JY~\x89'), '\144' + '\x65' + '\x63' + chr(6648 - 6537) + chr(100) + '\145')(chr(947 - 830) + chr(116) + '\x66' + '\055' + chr(56)))(c2A0yzQpDQB3(AvrJw3MI_4Zf))
QhNa_bukuRda = []
jz5wgWHiOoi2 = []
b_aOwmb19hvU = []
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'*\xbfHSe\x9d@!\x0eP'), '\x64' + chr(101) + chr(0b1000110 + 0o35) + chr(0b111010 + 0o65) + chr(0b1000110 + 0o36) + chr(0b1100101))(chr(0b1110 + 0o147) + '\x74' + '\146' + '\055' + chr(0b10001 + 0o47))):
for (K3J4ZwSlE0sT, pQxH2D_k9sXQ) in xafqLlk3kkUe(oVre8I6UXc3b._group2ctx, xafqLlk3kkUe(SXOLrMavuUCe(b';\xa2LYY\xb7A\x0b\x16{U\xb5'), '\x64' + '\x65' + chr(6003 - 5904) + chr(111) + chr(100) + '\x65')(chr(117) + chr(116) + '\x66' + chr(0b10011 + 0o32) + chr(0b110001 + 0o7)))():
xafqLlk3kkUe(QhNa_bukuRda, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\xa8JY~\x89'), chr(9002 - 8902) + chr(0b1100101) + chr(99) + chr(11673 - 11562) + chr(100) + chr(2804 - 2703))('\x75' + '\x74' + chr(102) + chr(45) + chr(56)))(K3J4ZwSlE0sT)
xafqLlk3kkUe(jz5wgWHiOoi2, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\xa8JY~\x89'), '\x64' + chr(0b1100101) + chr(99) + '\157' + chr(0b11111 + 0o105) + chr(0b1100101))(chr(6104 - 5987) + chr(5126 - 5010) + chr(0b1000111 + 0o37) + chr(45) + '\070'))(xafqLlk3kkUe(pQxH2D_k9sXQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x11\xbdLUs\x88-6\x03Xx\xe5\x7f'), chr(4840 - 4740) + chr(0b1000100 + 0o41) + '\x63' + '\157' + '\144' + chr(0b1001001 + 0o34))('\x75' + chr(0b1110100) + chr(2947 - 2845) + chr(45) + chr(0b111000))))
xafqLlk3kkUe(b_aOwmb19hvU, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\xa8JY~\x89'), '\x64' + '\145' + '\x63' + chr(111) + chr(0b111 + 0o135) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(4444 - 4342) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(pQxH2D_k9sXQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xa2nW}\xdc6z2C)\xbc'), '\144' + chr(101) + chr(0b10000 + 0o123) + chr(111) + chr(100) + chr(8869 - 8768))('\165' + chr(0b1110100) + '\x66' + chr(1880 - 1835) + chr(0b100110 + 0o22))))
SxTuMqFZdzZx = Qrvks9ZiU1xV()
g205TehRblrc = oVre8I6UXc3b.SxTuMqFZdzZx
RuYIw9U6uv2B = RyQ4N1viUrfz.c_uint()
YODxkuXMzMWX = RyQ4N1viUrfz.POINTER(v4apgis0SrXp)()
LVUBlJnDJD5J = RyQ4N1viUrfz.POINTER(v4apgis0SrXp)()
OGVSDiAMp8k_ = RyQ4N1viUrfz.c_uint()
l9YhBktGzheN = RyQ4N1viUrfz.POINTER(v4apgis0SrXp)()
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'8\x80\x7fDu\x8e\x076\x15ZO\xe9h\xfa\xcd\x9a\xd1\xffJ'), chr(0b1100100) + chr(2267 - 2166) + chr(8088 - 7989) + '\x6f' + chr(8545 - 8445) + '\x65')('\x75' + chr(116) + chr(102) + chr(0b101101) + '\x38'))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x16\x87SRd'), chr(0b1100100) + chr(0b1000000 + 0o45) + chr(0b1011111 + 0o4) + chr(0b100011 + 0o114) + '\x64' + '\145')(chr(117) + '\164' + '\146' + '\x2d' + chr(56)))(ehT0Px3KOsy9(aJRqCcSmDI6x)), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x16\x87SRd'), chr(0b100101 + 0o77) + chr(0b1010100 + 0o21) + chr(5445 - 5346) + chr(0b1101111) + chr(100) + '\x65')(chr(117) + chr(0b10101 + 0o137) + chr(2115 - 2013) + chr(0b101101) + '\x38'))(ehT0Px3KOsy9(bKA0ivcixVO_)), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x16\x87SRd'), chr(0b1001010 + 0o32) + chr(0b1011110 + 0o7) + chr(0b1100011) + chr(0b1100110 + 0o11) + chr(6412 - 6312) + chr(0b1100101))(chr(7496 - 7379) + chr(116) + chr(6945 - 6843) + chr(0b1 + 0o54) + chr(0b111000)))(xafqLlk3kkUe(oVre8I6UXc3b._ctx, xafqLlk3kkUe(SXOLrMavuUCe(b'\x11\xbdLUs\x88-6\x03Xx\xe5\x7f'), chr(0b1100100) + chr(0b1011111 + 0o6) + '\143' + '\157' + '\x64' + chr(5232 - 5131))(chr(117) + '\x74' + '\146' + chr(0b11010 + 0o23) + chr(0b10110 + 0o42)))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x16\x87SRd'), '\x64' + chr(1539 - 1438) + '\143' + chr(0b1101111) + '\x64' + chr(2436 - 2335))(chr(10212 - 10095) + chr(0b1100111 + 0o15) + '\146' + chr(45) + chr(0b111000)))(xafqLlk3kkUe(oVre8I6UXc3b._ctx, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xa2nW}\xdc6z2C)\xbc'), chr(3740 - 3640) + chr(0b110100 + 0o61) + chr(0b11001 + 0o112) + chr(1701 - 1590) + chr(0b1100100) + chr(0b1100101))(chr(626 - 509) + chr(12623 - 12507) + '\x66' + chr(0b101101) + chr(1493 - 1437)))), RSEUJ_H3k51M(c2A0yzQpDQB3(QhNa_bukuRda)), Ukszo3_Jz5eC(QhNa_bukuRda), IWgIBOZX5BKJ(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x16\x87SRd'), chr(877 - 777) + '\x65' + chr(0b1010101 + 0o16) + chr(0b1101111) + chr(0b1011100 + 0o10) + chr(4932 - 4831))(chr(0b1011 + 0o152) + chr(116) + chr(0b101010 + 0o74) + chr(0b11001 + 0o24) + chr(56))), zICvwRY_gs8c(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c'), '\144' + '\x65' + chr(0b1001010 + 0o31) + chr(0b1101101 + 0o2) + '\x64' + chr(0b1000010 + 0o43))(chr(13074 - 12957) + '\x74' + '\146' + chr(1959 - 1914) + '\x38'), jz5wgWHiOoi2)), IWgIBOZX5BKJ(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x16\x87SRd'), chr(3893 - 3793) + '\145' + '\x63' + chr(0b1101111) + chr(100) + chr(0b1000000 + 0o45))(chr(5272 - 5155) + '\x74' + '\x66' + '\x2d' + chr(56))), zICvwRY_gs8c(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c'), '\144' + '\x65' + chr(4294 - 4195) + chr(1142 - 1031) + '\x64' + '\145')('\x75' + chr(11734 - 11618) + chr(2440 - 2338) + chr(0b101101) + chr(1178 - 1122)), b_aOwmb19hvU)), RSEUJ_H3k51M(c2A0yzQpDQB3(c_6hdT_RGzHC)), Ukszo3_Jz5eC(c_6hdT_RGzHC), IWgIBOZX5BKJ(RURiEcSdHmz7, zICvwRY_gs8c(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c'), chr(100) + '\145' + chr(99) + chr(9068 - 8957) + chr(4150 - 4050) + '\x65')('\x75' + chr(116) + chr(0b1100110) + '\055' + chr(0b111000)), AvrJw3MI_4Zf)), IWgIBOZX5BKJ(RSEUJ_H3k51M, zICvwRY_gs8c(xafqLlk3kkUe(SXOLrMavuUCe(b'<'), chr(0b10110 + 0o116) + chr(101) + '\143' + chr(6483 - 6372) + '\144' + '\x65')('\165' + chr(0b1001000 + 0o54) + chr(5048 - 4946) + '\x2d' + chr(0b100111 + 0o21)), B8SQdU8tuauH)), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\xa1HYv'), chr(8657 - 8557) + chr(0b1100101) + chr(6901 - 6802) + '\157' + chr(7228 - 7128) + chr(0b110001 + 0o64))(chr(0b111111 + 0o66) + '\164' + '\146' + chr(377 - 332) + chr(0b1101 + 0o53)))(RuYIw9U6uv2B), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\xa1HYv'), chr(0b1001100 + 0o30) + chr(0b1100101) + '\x63' + '\157' + '\x64' + '\145')(chr(10731 - 10614) + chr(116) + chr(0b10 + 0o144) + '\x2d' + chr(56)))(YODxkuXMzMWX), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\xa1HYv'), '\144' + chr(0b1100101) + '\143' + '\157' + chr(100) + chr(888 - 787))(chr(12520 - 12403) + chr(12544 - 12428) + chr(0b1100110) + chr(1445 - 1400) + '\070'))(LVUBlJnDJD5J), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\xa1HYv'), chr(100) + chr(5797 - 5696) + chr(99) + chr(0b1001100 + 0o43) + chr(4478 - 4378) + '\145')(chr(0b1110101) + '\x74' + '\x66' + chr(0b101000 + 0o5) + '\070'))(OGVSDiAMp8k_), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\xa1HYv'), '\x64' + chr(0b10 + 0o143) + chr(99) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(117) + chr(0b1000 + 0o154) + '\146' + '\x2d' + chr(0b111000)))(l9YhBktGzheN), g205TehRblrc, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\xa1HYv'), '\x64' + chr(0b1100101) + chr(99) + '\157' + chr(1726 - 1626) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1110 + 0o130) + chr(45) + chr(685 - 629)))(SxTuMqFZdzZx)))
UID9bv6APUBD = [i7ArCBVUNQA5(v4apgis0SrXp(YODxkuXMzMWX[WVxHKyX45z_L])) for WVxHKyX45z_L in vQr8gNKaIaWE(RuYIw9U6uv2B.QmmgWUB13VCJ)]
_ffNipEkE2UF = [i7ArCBVUNQA5(v4apgis0SrXp(LVUBlJnDJD5J[WVxHKyX45z_L])) if LVUBlJnDJD5J[WVxHKyX45z_L] is not None else None for WVxHKyX45z_L in vQr8gNKaIaWE(RuYIw9U6uv2B.QmmgWUB13VCJ)]
TQRMEe8h7JM9 = [i7ArCBVUNQA5(v4apgis0SrXp(l9YhBktGzheN[WVxHKyX45z_L])) for WVxHKyX45z_L in vQr8gNKaIaWE(OGVSDiAMp8k_.QmmgWUB13VCJ)]
HGfWNY210YmT = aO0NJ6MqBWIY(SxTuMqFZdzZx, oVre8I6UXc3b._symbol, oVre8I6UXc3b._ctx, oVre8I6UXc3b.oVUUB72blLhv, oVre8I6UXc3b._group2ctx)
HGfWNY210YmT.UID9bv6APUBD = UID9bv6APUBD
HGfWNY210YmT._ffNipEkE2UF = _ffNipEkE2UF
HGfWNY210YmT.TQRMEe8h7JM9 = TQRMEe8h7JM9
return HGfWNY210YmT
|
apache/incubator-mxnet
|
python/mxnet/executor.py
|
Executor.debug_str
|
def debug_str(self):
"""Get a debug string about internal execution plan.
Returns
-------
debug_str : string
Debug string of the executor.
Examples
--------
>>> a = mx.sym.Variable('a')
>>> b = mx.sym.sin(a)
>>> c = 2 * a + b
>>> texec = c.bind(mx.cpu(), {'a': mx.nd.array([1,2]), 'b':mx.nd.array([2,3])})
>>> print(texec.debug_str())
Symbol Outputs:
output[0]=_plus0(0)
Variable:a
--------------------
Op:_mul_scalar, Name=_mulscalar0
Inputs:
arg[0]=a(0) version=0
Attrs:
scalar=2
--------------------
Op:sin, Name=sin0
Inputs:
arg[0]=a(0) version=0
--------------------
Op:elemwise_add, Name=_plus0
Inputs:
arg[0]=_mulscalar0(0)
arg[1]=sin0(0)
Total 0 MB allocated
Total 11 TempSpace resource requested
"""
debug_str = ctypes.c_char_p()
check_call(_LIB.MXExecutorPrint(
self.handle, ctypes.byref(debug_str)))
return py_str(debug_str.value)
|
python
|
def debug_str(self):
"""Get a debug string about internal execution plan.
Returns
-------
debug_str : string
Debug string of the executor.
Examples
--------
>>> a = mx.sym.Variable('a')
>>> b = mx.sym.sin(a)
>>> c = 2 * a + b
>>> texec = c.bind(mx.cpu(), {'a': mx.nd.array([1,2]), 'b':mx.nd.array([2,3])})
>>> print(texec.debug_str())
Symbol Outputs:
output[0]=_plus0(0)
Variable:a
--------------------
Op:_mul_scalar, Name=_mulscalar0
Inputs:
arg[0]=a(0) version=0
Attrs:
scalar=2
--------------------
Op:sin, Name=sin0
Inputs:
arg[0]=a(0) version=0
--------------------
Op:elemwise_add, Name=_plus0
Inputs:
arg[0]=_mulscalar0(0)
arg[1]=sin0(0)
Total 0 MB allocated
Total 11 TempSpace resource requested
"""
debug_str = ctypes.c_char_p()
check_call(_LIB.MXExecutorPrint(
self.handle, ctypes.byref(debug_str)))
return py_str(debug_str.value)
|
[
"def",
"debug_str",
"(",
"self",
")",
":",
"debug_str",
"=",
"ctypes",
".",
"c_char_p",
"(",
")",
"check_call",
"(",
"_LIB",
".",
"MXExecutorPrint",
"(",
"self",
".",
"handle",
",",
"ctypes",
".",
"byref",
"(",
"debug_str",
")",
")",
")",
"return",
"py_str",
"(",
"debug_str",
".",
"value",
")"
] |
Get a debug string about internal execution plan.
Returns
-------
debug_str : string
Debug string of the executor.
Examples
--------
>>> a = mx.sym.Variable('a')
>>> b = mx.sym.sin(a)
>>> c = 2 * a + b
>>> texec = c.bind(mx.cpu(), {'a': mx.nd.array([1,2]), 'b':mx.nd.array([2,3])})
>>> print(texec.debug_str())
Symbol Outputs:
output[0]=_plus0(0)
Variable:a
--------------------
Op:_mul_scalar, Name=_mulscalar0
Inputs:
arg[0]=a(0) version=0
Attrs:
scalar=2
--------------------
Op:sin, Name=sin0
Inputs:
arg[0]=a(0) version=0
--------------------
Op:elemwise_add, Name=_plus0
Inputs:
arg[0]=_mulscalar0(0)
arg[1]=sin0(0)
Total 0 MB allocated
Total 11 TempSpace resource requested
|
[
"Get",
"a",
"debug",
"string",
"about",
"internal",
"execution",
"plan",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/executor.py#L474-L513
|
train
|
Get a debug string of the executor.
|
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) + '\061' + chr(0b110011) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000110 + 0o51) + '\x32' + chr(0b110010) + '\x30', 28941 - 28933), ehT0Px3KOsy9(chr(745 - 697) + '\x6f' + chr(0b10101 + 0o34) + chr(53) + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\x36', 36340 - 36332), ehT0Px3KOsy9(chr(566 - 518) + chr(0b1101111) + chr(0b110010) + chr(2360 - 2305) + '\x33', 0b1000), ehT0Px3KOsy9(chr(562 - 514) + '\157' + '\061' + chr(0b110100) + '\x33', 28957 - 28949), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(1666 - 1555) + chr(51) + '\x35' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53) + chr(52), 34075 - 34067), ehT0Px3KOsy9(chr(1087 - 1039) + '\x6f' + chr(0b11001 + 0o30) + chr(56 - 7) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1550 - 1501) + '\060' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(954 - 906) + chr(0b1101111) + '\061' + '\x33' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(0b110001) + chr(1624 - 1571) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010010 + 0o35) + chr(0b110001) + '\065' + '\x35', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(924 - 873) + chr(405 - 352) + chr(0b110 + 0o60), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1004 - 955) + chr(0b110100) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(3618 - 3507) + '\063' + chr(667 - 614), 0o10), ehT0Px3KOsy9('\060' + chr(3258 - 3147) + chr(0b110001 + 0o1) + chr(0b110110), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(54) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(416 - 368) + chr(0b1101111) + '\062' + chr(0b110111) + chr(0b0 + 0o62), 24196 - 24188), ehT0Px3KOsy9(chr(1004 - 956) + chr(0b1001101 + 0o42) + '\x33' + chr(50) + chr(1288 - 1239), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(1894 - 1845) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100110 + 0o11) + chr(0b110010) + chr(416 - 368) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\x32' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1000000 + 0o57) + '\x31' + chr(430 - 380) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(790 - 740) + chr(0b110001) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + '\x30' + '\064', 0b1000), ehT0Px3KOsy9(chr(1396 - 1348) + chr(0b1101111) + '\x32' + '\x36' + chr(0b1011 + 0o52), 0o10), ehT0Px3KOsy9('\x30' + chr(6802 - 6691) + chr(1635 - 1586) + chr(0b101100 + 0o12) + chr(51), 56556 - 56548), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + chr(49) + chr(0b110000) + chr(0b1001 + 0o47), 55341 - 55333), ehT0Px3KOsy9(chr(0b110000) + chr(0b10011 + 0o134) + chr(49) + '\x33' + '\062', 45715 - 45707), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(54) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b110111) + chr(1547 - 1497), 0o10), ehT0Px3KOsy9('\060' + chr(0b110100 + 0o73) + '\067' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(721 - 667) + chr(53), 8927 - 8919), ehT0Px3KOsy9('\060' + chr(8277 - 8166) + chr(55) + chr(0b100110 + 0o21), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101011 + 0o7) + chr(0b100101 + 0o13), 0o10), ehT0Px3KOsy9('\060' + chr(601 - 490) + '\x32' + chr(0b10100 + 0o41) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(54) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b110110) + chr(2094 - 2044), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + '\x35' + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'p'), '\144' + '\145' + chr(99) + chr(111) + '\144' + chr(0b101111 + 0o66))(chr(0b1001 + 0o154) + chr(116) + '\146' + chr(45) + chr(0b10011 + 0o45)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def QP_anTSfARw7(oVre8I6UXc3b):
QP_anTSfARw7 = RyQ4N1viUrfz.c_char_p()
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\xc8(n\xde\x00\x9bX 1\x0b\x19\x04\x80\x10'), chr(9778 - 9678) + '\145' + '\143' + '\x6f' + '\x64' + chr(101))(chr(9474 - 9357) + '\164' + '\x66' + chr(45) + chr(0b101 + 0o63)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\r\xe89c\xf6\x12\xa8v+9\x01\x13'), chr(9990 - 9890) + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\x64' + chr(0b100111 + 0o76))(chr(3880 - 3763) + '\164' + '\x66' + chr(0b101000 + 0o5) + chr(56))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xe9\x1fs\xdd'), '\144' + chr(0b1100101) + chr(2797 - 2698) + chr(111) + '\x64' + '\x65')('\x75' + chr(0b1100111 + 0o15) + chr(10060 - 9958) + chr(45) + chr(1632 - 1576)))(QP_anTSfARw7)))
return CaGHn5i0wDWS(xafqLlk3kkUe(QP_anTSfARw7, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f\xfd\x00q\xec6\xac\x1d|\x15\x18!'), chr(100) + chr(0b11111 + 0o106) + '\143' + '\157' + chr(0b1011101 + 0o7) + '\145')(chr(767 - 650) + '\164' + chr(0b1100110) + chr(0b101101) + chr(1484 - 1428))))
|
apache/incubator-mxnet
|
example/ssd/evaluate/eval_voc.py
|
parse_voc_rec
|
def parse_voc_rec(filename):
"""
parse pascal voc record into a dictionary
:param filename: xml file path
:return: list of dict
"""
import xml.etree.ElementTree as ET
tree = ET.parse(filename)
objects = []
for obj in tree.findall('object'):
obj_dict = dict()
obj_dict['name'] = obj.find('name').text
obj_dict['difficult'] = int(obj.find('difficult').text)
bbox = obj.find('bndbox')
obj_dict['bbox'] = [int(bbox.find('xmin').text),
int(bbox.find('ymin').text),
int(bbox.find('xmax').text),
int(bbox.find('ymax').text)]
objects.append(obj_dict)
return objects
|
python
|
def parse_voc_rec(filename):
"""
parse pascal voc record into a dictionary
:param filename: xml file path
:return: list of dict
"""
import xml.etree.ElementTree as ET
tree = ET.parse(filename)
objects = []
for obj in tree.findall('object'):
obj_dict = dict()
obj_dict['name'] = obj.find('name').text
obj_dict['difficult'] = int(obj.find('difficult').text)
bbox = obj.find('bndbox')
obj_dict['bbox'] = [int(bbox.find('xmin').text),
int(bbox.find('ymin').text),
int(bbox.find('xmax').text),
int(bbox.find('ymax').text)]
objects.append(obj_dict)
return objects
|
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] |
parse pascal voc record into a dictionary
:param filename: xml file path
:return: list of dict
|
[
"parse",
"pascal",
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/evaluate/eval_voc.py#L30-L49
|
train
|
parse pascal voc record into a list of dicts
|
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' + '\x33' + '\x33' + chr(0b11101 + 0o27), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(7102 - 6991) + '\x32' + chr(0b10001 + 0o46) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\x32' + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(746 - 697) + chr(49) + chr(550 - 498), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x36' + chr(2220 - 2168), 65260 - 65252), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + '\066', 20137 - 20129), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + '\x32' + chr(636 - 583) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + '\x36' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(54) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(682 - 631) + chr(0b100000 + 0o23), 48528 - 48520), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(4362 - 4251) + '\x34' + chr(1709 - 1658), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1111 + 0o44) + chr(884 - 836) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b101 + 0o60) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1101 + 0o45) + chr(52) + chr(0b110001), 13369 - 13361), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(4744 - 4633) + chr(0b110001) + '\x35' + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(2242 - 2194) + chr(0b1101111) + '\x31' + '\x36', 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(1097 - 986) + chr(0b110110) + '\067', 8), ehT0Px3KOsy9(chr(1035 - 987) + chr(0b11110 + 0o121) + chr(0b110001) + chr(0b110000) + chr(0b110110), 45415 - 45407), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b110111) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11111 + 0o24) + chr(52) + chr(0b11110 + 0o30), 33426 - 33418), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\x37' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(918 - 870) + chr(11916 - 11805) + chr(0b110110) + chr(1696 - 1647), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + '\062' + chr(0b11100 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1618 - 1567) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2222 - 2111) + chr(0b110001) + '\062' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + '\062' + chr(50) + '\067', 22137 - 22129), ehT0Px3KOsy9(chr(1563 - 1515) + chr(0b1101111) + '\061' + chr(808 - 759) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001100 + 0o43) + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(51) + chr(1262 - 1209) + chr(0b1100 + 0o45), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b10011 + 0o134) + '\063' + chr(53) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11677 - 11566) + chr(49) + '\064' + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b101101 + 0o102) + chr(0b110001) + chr(0b1010 + 0o53) + chr(0b101000 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(555 - 505) + chr(53) + chr(865 - 816), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100011 + 0o17) + chr(54) + chr(0b100011 + 0o24), 0o10), ehT0Px3KOsy9(chr(1895 - 1847) + chr(0b1101111) + '\062' + '\066' + chr(55), 8), ehT0Px3KOsy9(chr(2027 - 1979) + chr(4769 - 4658) + '\x33' + '\x33' + chr(1278 - 1228), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110101) + '\060', 21570 - 21562)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2'), '\144' + chr(0b1100101) + chr(99) + chr(0b1101111) + '\144' + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(1142 - 1040) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def t2GWsCSYKrxL(xw4DsBfIJ22E):
(IM5tKm6ESFBk,) = (xafqLlk3kkUe(xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4\xd6<bQjq\xc9R5s\xb7F\xab\xcd\xcf\x1dP|R#'), chr(0b1000 + 0o134) + chr(101) + chr(0b1001010 + 0o31) + '\x6f' + '\144' + chr(101))('\165' + '\x74' + chr(10194 - 10092) + chr(0b100101 + 0o10) + chr(1390 - 1334)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x99\xd75!Qpw\xf8E~S'), '\x64' + '\145' + chr(9261 - 9162) + chr(0b1110 + 0o141) + chr(100) + '\145')(chr(117) + chr(0b1001101 + 0o47) + chr(4898 - 4796) + chr(0b101101) + '\070')), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\xcf")Q'), chr(0b111100 + 0o50) + '\145' + chr(0b100000 + 0o103) + '\x6f' + chr(0b1010100 + 0o20) + '\x65')(chr(0b101001 + 0o114) + '\x74' + chr(2206 - 2104) + chr(1693 - 1648) + chr(2439 - 2383))), xafqLlk3kkUe(SXOLrMavuUCe(b'\x99\xd75!Qpw\xf8E~S'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(9834 - 9734) + '\x65')('\165' + chr(4737 - 4621) + '\x66' + '\055' + chr(1648 - 1592))),)
ErHgKhTO5Wfb = IM5tKm6ESFBk.parse(xw4DsBfIJ22E)
SY0NIgiWrFfS = []
for mDuDykdz0pcm in xafqLlk3kkUe(ErHgKhTO5Wfb, xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\xd2>(Uro'), '\144' + chr(101) + chr(0b101110 + 0o65) + chr(111) + chr(0b1100100) + chr(101))(chr(10455 - 10338) + chr(3278 - 3162) + '\146' + chr(0b101101) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\xd9:)Wj'), '\x64' + chr(0b1011 + 0o132) + '\143' + '\x6f' + chr(0b11001 + 0o113) + chr(101))('\x75' + chr(0b1101111 + 0o5) + chr(0b1001001 + 0o35) + chr(1994 - 1949) + chr(0b101 + 0o63))):
kXKZGjhwzXy1 = wLqBDw8l0eIm()
kXKZGjhwzXy1[xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2\xda=)'), '\x64' + chr(8813 - 8712) + chr(99) + chr(0b1001000 + 0o47) + '\x64' + '\x65')(chr(117) + chr(0b110011 + 0o101) + '\x66' + '\x2d' + chr(0b111000))] = mDuDykdz0pcm.find(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2\xda=)'), '\144' + chr(2741 - 2640) + chr(2570 - 2471) + '\157' + chr(0b110011 + 0o61) + chr(0b10010 + 0o123))(chr(0b1110101) + chr(116) + chr(0b1100101 + 0o1) + chr(45) + '\x38')).Ah1rInvg48Hb
kXKZGjhwzXy1[xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\xd26*]}v\xc0C'), chr(7409 - 7309) + '\145' + chr(99) + chr(0b1101010 + 0o5) + chr(5435 - 5335) + chr(9933 - 9832))(chr(0b1110101) + chr(0b1110100) + chr(0b1011110 + 0o10) + chr(0b101101) + '\x38')] = ehT0Px3KOsy9(mDuDykdz0pcm.find(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\xd26*]}v\xc0C'), chr(8627 - 8527) + '\x65' + chr(99) + chr(4842 - 4731) + '\144' + chr(1858 - 1757))(chr(117) + chr(11823 - 11707) + chr(0b11011 + 0o113) + '\055' + chr(0b101000 + 0o20))).Ah1rInvg48Hb)
HdQfPnA6nf66 = mDuDykdz0pcm.find(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\xd54.[f'), chr(100) + chr(3721 - 3620) + chr(99) + chr(0b111001 + 0o66) + chr(7754 - 7654) + '\145')('\165' + chr(116) + '\146' + chr(0b101101) + chr(0b111000)))
kXKZGjhwzXy1[xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\xd9?4'), chr(8652 - 8552) + '\x65' + chr(1927 - 1828) + '\x6f' + '\x64' + '\145')(chr(117) + '\164' + chr(0b1100110) + chr(0b1111 + 0o36) + '\070')] = [ehT0Px3KOsy9(HdQfPnA6nf66.find(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4\xd69"'), chr(100) + '\145' + chr(0b1000000 + 0o43) + '\x6f' + chr(0b1001001 + 0o33) + chr(0b1001 + 0o134))(chr(13114 - 12997) + chr(0b1011111 + 0o25) + chr(8592 - 8490) + '\x2d' + chr(0b1111 + 0o51))).Ah1rInvg48Hb), ehT0Px3KOsy9(HdQfPnA6nf66.find(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5\xd69"'), '\144' + '\x65' + '\143' + chr(111) + chr(0b1100100) + chr(2859 - 2758))('\x75' + chr(0b1110100) + chr(0b1100110) + '\055' + chr(56))).Ah1rInvg48Hb), ehT0Px3KOsy9(HdQfPnA6nf66.find(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4\xd614'), chr(0b1100100) + chr(0b1100101) + chr(99) + '\157' + chr(0b1001001 + 0o33) + '\145')('\165' + chr(12550 - 12434) + chr(8578 - 8476) + chr(0b100001 + 0o14) + '\070')).Ah1rInvg48Hb), ehT0Px3KOsy9(HdQfPnA6nf66.find(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5\xd614'), '\x64' + '\x65' + chr(0b1100011) + chr(111) + chr(100) + '\145')('\165' + chr(0b1110100) + chr(9591 - 9489) + '\x2d' + chr(56))).Ah1rInvg48Hb)]
xafqLlk3kkUe(SY0NIgiWrFfS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\xcb )Zz'), chr(2003 - 1903) + chr(4158 - 4057) + chr(286 - 187) + chr(111) + chr(100) + chr(0b111001 + 0o54))(chr(0b1101 + 0o150) + chr(2928 - 2812) + chr(0b1011110 + 0o10) + '\x2d' + chr(0b111000)))(kXKZGjhwzXy1)
return SY0NIgiWrFfS
|
apache/incubator-mxnet
|
example/ssd/evaluate/eval_voc.py
|
voc_eval
|
def voc_eval(detpath, annopath, imageset_file, classname, cache_dir, ovthresh=0.5, use_07_metric=False):
"""
pascal voc evaluation
:param detpath: detection results detpath.format(classname)
:param annopath: annotations annopath.format(classname)
:param imageset_file: text file containing list of images
:param classname: category name
:param cache_dir: caching annotations
:param ovthresh: overlap threshold
:param use_07_metric: whether to use voc07's 11 point ap computation
:return: rec, prec, ap
"""
if not os.path.isdir(cache_dir):
os.mkdir(cache_dir)
cache_file = os.path.join(cache_dir, 'annotations.pkl')
with open(imageset_file, 'r') as f:
lines = f.readlines()
image_filenames = [x.strip() for x in lines]
# load annotations from cache
if not os.path.isfile(cache_file):
recs = {}
for ind, image_filename in enumerate(image_filenames):
recs[image_filename] = parse_voc_rec(annopath.format(image_filename))
if ind % 100 == 0:
print('reading annotations for {:d}/{:d}'.format(ind + 1, len(image_filenames)))
print('saving annotations cache to {:s}'.format(cache_file))
with open(cache_file, 'wb') as f:
pickle.dump(recs, f)
else:
with open(cache_file, 'rb') as f:
recs = pickle.load(f)
# extract objects in :param classname:
class_recs = {}
npos = 0
for image_filename in image_filenames:
objects = [obj for obj in recs[image_filename] if obj['name'] == classname]
bbox = np.array([x['bbox'] for x in objects])
difficult = np.array([x['difficult'] for x in objects]).astype(np.bool)
det = [False] * len(objects) # stand for detected
npos = npos + sum(~difficult)
class_recs[image_filename] = {'bbox': bbox,
'difficult': difficult,
'det': det}
# read detections
detfile = detpath.format(classname)
with open(detfile, 'r') as f:
lines = f.readlines()
splitlines = [x.strip().split(' ') for x in lines]
image_ids = [x[0] for x in splitlines]
confidence = np.array([float(x[1]) for x in splitlines])
bbox = np.array([[float(z) for z in x[2:]] for x in splitlines])
# sort by confidence
sorted_inds = np.argsort(-confidence)
sorted_scores = np.sort(-confidence)
bbox = bbox[sorted_inds, :]
image_ids = [image_ids[x] for x in sorted_inds]
# go down detections and mark true positives and false positives
nd = len(image_ids)
tp = np.zeros(nd)
fp = np.zeros(nd)
for d in range(nd):
r = class_recs[image_ids[d]]
bb = bbox[d, :].astype(float)
ovmax = -np.inf
bbgt = r['bbox'].astype(float)
if bbgt.size > 0:
# compute overlaps
# intersection
ixmin = np.maximum(bbgt[:, 0], bb[0])
iymin = np.maximum(bbgt[:, 1], bb[1])
ixmax = np.minimum(bbgt[:, 2], bb[2])
iymax = np.minimum(bbgt[:, 3], bb[3])
iw = np.maximum(ixmax - ixmin + 1., 0.)
ih = np.maximum(iymax - iymin + 1., 0.)
inters = iw * ih
# union
uni = ((bb[2] - bb[0] + 1.) * (bb[3] - bb[1] + 1.) +
(bbgt[:, 2] - bbgt[:, 0] + 1.) *
(bbgt[:, 3] - bbgt[:, 1] + 1.) - inters)
overlaps = inters / uni
ovmax = np.max(overlaps)
jmax = np.argmax(overlaps)
if ovmax > ovthresh:
if not r['difficult'][jmax]:
if not r['det'][jmax]:
tp[d] = 1.
r['det'][jmax] = 1
else:
fp[d] = 1.
else:
fp[d] = 1.
# compute precision recall
fp = np.cumsum(fp)
tp = np.cumsum(tp)
rec = tp / float(npos)
# avoid division by zero in case first detection matches a difficult ground ruth
prec = tp / np.maximum(tp + fp, np.finfo(np.float64).eps)
ap = voc_ap(rec, prec, use_07_metric)
return rec, prec, ap
|
python
|
def voc_eval(detpath, annopath, imageset_file, classname, cache_dir, ovthresh=0.5, use_07_metric=False):
"""
pascal voc evaluation
:param detpath: detection results detpath.format(classname)
:param annopath: annotations annopath.format(classname)
:param imageset_file: text file containing list of images
:param classname: category name
:param cache_dir: caching annotations
:param ovthresh: overlap threshold
:param use_07_metric: whether to use voc07's 11 point ap computation
:return: rec, prec, ap
"""
if not os.path.isdir(cache_dir):
os.mkdir(cache_dir)
cache_file = os.path.join(cache_dir, 'annotations.pkl')
with open(imageset_file, 'r') as f:
lines = f.readlines()
image_filenames = [x.strip() for x in lines]
# load annotations from cache
if not os.path.isfile(cache_file):
recs = {}
for ind, image_filename in enumerate(image_filenames):
recs[image_filename] = parse_voc_rec(annopath.format(image_filename))
if ind % 100 == 0:
print('reading annotations for {:d}/{:d}'.format(ind + 1, len(image_filenames)))
print('saving annotations cache to {:s}'.format(cache_file))
with open(cache_file, 'wb') as f:
pickle.dump(recs, f)
else:
with open(cache_file, 'rb') as f:
recs = pickle.load(f)
# extract objects in :param classname:
class_recs = {}
npos = 0
for image_filename in image_filenames:
objects = [obj for obj in recs[image_filename] if obj['name'] == classname]
bbox = np.array([x['bbox'] for x in objects])
difficult = np.array([x['difficult'] for x in objects]).astype(np.bool)
det = [False] * len(objects) # stand for detected
npos = npos + sum(~difficult)
class_recs[image_filename] = {'bbox': bbox,
'difficult': difficult,
'det': det}
# read detections
detfile = detpath.format(classname)
with open(detfile, 'r') as f:
lines = f.readlines()
splitlines = [x.strip().split(' ') for x in lines]
image_ids = [x[0] for x in splitlines]
confidence = np.array([float(x[1]) for x in splitlines])
bbox = np.array([[float(z) for z in x[2:]] for x in splitlines])
# sort by confidence
sorted_inds = np.argsort(-confidence)
sorted_scores = np.sort(-confidence)
bbox = bbox[sorted_inds, :]
image_ids = [image_ids[x] for x in sorted_inds]
# go down detections and mark true positives and false positives
nd = len(image_ids)
tp = np.zeros(nd)
fp = np.zeros(nd)
for d in range(nd):
r = class_recs[image_ids[d]]
bb = bbox[d, :].astype(float)
ovmax = -np.inf
bbgt = r['bbox'].astype(float)
if bbgt.size > 0:
# compute overlaps
# intersection
ixmin = np.maximum(bbgt[:, 0], bb[0])
iymin = np.maximum(bbgt[:, 1], bb[1])
ixmax = np.minimum(bbgt[:, 2], bb[2])
iymax = np.minimum(bbgt[:, 3], bb[3])
iw = np.maximum(ixmax - ixmin + 1., 0.)
ih = np.maximum(iymax - iymin + 1., 0.)
inters = iw * ih
# union
uni = ((bb[2] - bb[0] + 1.) * (bb[3] - bb[1] + 1.) +
(bbgt[:, 2] - bbgt[:, 0] + 1.) *
(bbgt[:, 3] - bbgt[:, 1] + 1.) - inters)
overlaps = inters / uni
ovmax = np.max(overlaps)
jmax = np.argmax(overlaps)
if ovmax > ovthresh:
if not r['difficult'][jmax]:
if not r['det'][jmax]:
tp[d] = 1.
r['det'][jmax] = 1
else:
fp[d] = 1.
else:
fp[d] = 1.
# compute precision recall
fp = np.cumsum(fp)
tp = np.cumsum(tp)
rec = tp / float(npos)
# avoid division by zero in case first detection matches a difficult ground ruth
prec = tp / np.maximum(tp + fp, np.finfo(np.float64).eps)
ap = voc_ap(rec, prec, use_07_metric)
return rec, prec, ap
|
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] |
pascal voc evaluation
:param detpath: detection results detpath.format(classname)
:param annopath: annotations annopath.format(classname)
:param imageset_file: text file containing list of images
:param classname: category name
:param cache_dir: caching annotations
:param ovthresh: overlap threshold
:param use_07_metric: whether to use voc07's 11 point ap computation
:return: rec, prec, ap
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/evaluate/eval_voc.py#L86-L196
|
train
|
evaluates the voc of a given class
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + chr(0b100 + 0o55) + chr(49) + chr(0b110100), 14540 - 14532), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(11863 - 11752) + chr(0b110010) + '\x34' + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(10546 - 10435) + chr(51) + chr(0b110001) + '\061', 17944 - 17936), ehT0Px3KOsy9(chr(1897 - 1849) + chr(6310 - 6199) + chr(0b11010 + 0o27) + '\x34', 64471 - 64463), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + '\x31' + chr(1539 - 1485), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\062' + '\065', 4692 - 4684), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001 + 0o1) + '\x31' + chr(0b100100 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(0b1101 + 0o51) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(1582 - 1531) + '\061', 0o10), ehT0Px3KOsy9(chr(1258 - 1210) + chr(0b1101111) + '\063' + chr(52) + chr(1863 - 1814), 0b1000), ehT0Px3KOsy9(chr(1451 - 1403) + chr(0b111100 + 0o63) + chr(51) + '\x30' + chr(0b101111 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11343 - 11232) + '\062' + chr(0b110110) + chr(432 - 384), ord("\x08")), ehT0Px3KOsy9(chr(176 - 128) + chr(902 - 791) + chr(0b1010 + 0o51) + chr(0b1110 + 0o42) + '\061', 26473 - 26465), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(685 - 636) + chr(0b100111 + 0o16), 35801 - 35793), ehT0Px3KOsy9(chr(1844 - 1796) + '\157' + chr(1259 - 1208) + '\063' + chr(0b110001), 26878 - 26870), ehT0Px3KOsy9('\x30' + chr(0b1110 + 0o141) + chr(0b110001 + 0o3) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + '\065' + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(9117 - 9006) + '\x32' + chr(1738 - 1687) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1498 - 1448) + '\061' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110111) + '\x30', 17951 - 17943), ehT0Px3KOsy9(chr(48) + chr(8510 - 8399) + chr(54) + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001010 + 0o45) + chr(0b11101 + 0o24) + chr(0b11100 + 0o27) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(344 - 233) + chr(0b10010 + 0o40) + '\065' + chr(53), 0b1000), ehT0Px3KOsy9(chr(160 - 112) + chr(0b1101111) + chr(0b10100 + 0o36) + chr(0b1000 + 0o55) + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(977 - 866) + '\x31' + chr(0b110001) + chr(1352 - 1298), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2221 - 2170) + chr(0b11110 + 0o26) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110111) + '\x33', 0b1000), ehT0Px3KOsy9(chr(1622 - 1574) + '\157' + chr(0b110011) + chr(54) + chr(0b100 + 0o55), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(53) + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(2714 - 2603) + '\062' + chr(0b110101) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(0b110111) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(53) + chr(0b110101), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(254 - 200) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x37' + chr(2021 - 1968), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(53) + chr(357 - 304), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + '\x32' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b110100) + chr(0b110001), 8), ehT0Px3KOsy9(chr(1421 - 1373) + chr(11646 - 11535) + '\061' + chr(0b11110 + 0o26) + chr(0b11101 + 0o26), 42763 - 42755), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\065' + chr(0b110111), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(754 - 701) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'b'), '\144' + '\x65' + chr(2135 - 2036) + '\x6f' + chr(8551 - 8451) + chr(0b101110 + 0o67))(chr(117) + '\164' + chr(102) + chr(0b1111 + 0o36) + chr(0b1100 + 0o54)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def gdJ5wmQc8BjI(gLNZ70iDIL08, pa7qT_o5t0AP, J2tW7zQDOjqo, NyppCPy3Y40A, j3fmOtvUtrP5, R8CrtGvzwUxo=0.5, G1cowTEsVGP6=ehT0Px3KOsy9('\060' + chr(0b1001000 + 0o47) + chr(0b11110 + 0o22), 0o10)):
if not xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'%\xd2\xade<'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\x6f' + '\144' + '\x65')(chr(0b11101 + 0o130) + '\x74' + '\146' + '\x2d' + chr(0b11110 + 0o32)))(j3fmOtvUtrP5):
xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'!\xca\xade<'), '\144' + '\x65' + chr(0b10111 + 0o114) + chr(0b1101111) + '\144' + '\145')(chr(0b10010 + 0o143) + chr(116) + chr(102) + chr(1929 - 1884) + chr(2752 - 2696)))(j3fmOtvUtrP5)
vhXbYptxZ3Pz = oqhJDdMJfuwx.path._oWXztVNnqHF(j3fmOtvUtrP5, xafqLlk3kkUe(SXOLrMavuUCe(b'-\xcf\xa7c:\xb4\xfa]\xf6\x8f\xb6\x9e\xb1h\xe1'), chr(0b101110 + 0o66) + '\145' + '\x63' + chr(0b1101111) + '\x64' + chr(0b1100101))('\165' + '\x74' + chr(0b1100110) + '\055' + chr(0b110100 + 0o4)))
with _fwkIVCGgtAN(J2tW7zQDOjqo, xafqLlk3kkUe(SXOLrMavuUCe(b'>'), chr(0b1100100) + chr(101) + '\x63' + chr(10324 - 10213) + chr(100) + chr(101))(chr(0b1111 + 0o146) + '\x74' + '\146' + chr(0b101101) + '\070')) as EGyt1xfPT1P6:
izUh4XSf7tJY = EGyt1xfPT1P6.readlines()
Y79XRCQ61hAA = [OeWW0F1dBPRQ.VmIJF6Fy6LrX() for OeWW0F1dBPRQ in izUh4XSf7tJY]
if not xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'%\xd2\xafe"\xb0'), chr(100) + chr(4721 - 4620) + chr(0b1100011) + '\x6f' + chr(0b1111 + 0o125) + chr(0b1100101))(chr(0b1110101) + chr(0b100000 + 0o124) + chr(0b1100110) + '\055' + chr(2050 - 1994)))(vhXbYptxZ3Pz):
s_zddaY3JK2o = {}
for (r3s_x88rHjuC, xbXofT5JqYkg) in YlkZvXL8qwsX(Y79XRCQ61hAA):
s_zddaY3JK2o[xbXofT5JqYkg] = t2GWsCSYKrxL(pa7qT_o5t0AP.V4roHaS3Ppej(xbXofT5JqYkg))
if r3s_x88rHjuC % ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b11111 + 0o25) + chr(52), 0b1000) == ehT0Px3KOsy9(chr(48) + chr(111) + '\x30', 8):
zLUzGokYBM2Z(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b">\xc4\xa8h'\xbb\xe9\x14\xf8\x8f\xab\xdf\xb5b\xf9\xb0H\x85\xed\xa8^_/\x8d\xd5t\x84F\xde\x97\x90\xd9\xd0"), chr(3893 - 3793) + '\x65' + '\x63' + '\157' + chr(100) + chr(101))('\x75' + chr(0b1101000 + 0o14) + '\x66' + chr(45) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a\x95\xbbc\x06\xb4\xdd\x07\xc9\x91\xa0\xda'), chr(754 - 654) + chr(0b1100101) + chr(1590 - 1491) + '\x6f' + chr(100) + chr(0b110110 + 0o57))('\x75' + chr(6065 - 5949) + chr(0b100011 + 0o103) + chr(45) + '\x38'))(r3s_x88rHjuC + ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(8305 - 8194) + chr(49), 64046 - 64038), c2A0yzQpDQB3(Y79XRCQ61hAA)))
zLUzGokYBM2Z(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'?\xc0\xbfe \xb2\xaeU\xf7\x8f\xaa\xc4\xa0w\xe4\xb6I\x98\xbe\xebYS5\xc8\x8e:\x8f\x1b\x8a\xd6\xd9\xc0'), chr(100) + chr(101) + chr(0b1100011) + chr(0b1001001 + 0o46) + chr(0b10 + 0o142) + chr(0b1100101))(chr(117) + chr(116) + chr(102) + '\055' + chr(0b11 + 0o65)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a\x95\xbbc\x06\xb4\xdd\x07\xc9\x91\xa0\xda'), '\144' + chr(2922 - 2821) + '\143' + chr(4118 - 4007) + '\x64' + '\x65')(chr(0b1110101) + '\164' + chr(0b1100110) + chr(249 - 204) + chr(56)))(vhXbYptxZ3Pz))
with _fwkIVCGgtAN(vhXbYptxZ3Pz, xafqLlk3kkUe(SXOLrMavuUCe(b';\xc3'), chr(1667 - 1567) + chr(3333 - 3232) + chr(99) + '\x6f' + '\144' + chr(9389 - 9288))('\x75' + chr(116) + chr(102) + chr(0b101 + 0o50) + chr(56))) as EGyt1xfPT1P6:
xafqLlk3kkUe(b1Ng5DsPF9ZY, xafqLlk3kkUe(SXOLrMavuUCe(b'(\xd4\xa4|'), chr(0b111110 + 0o46) + chr(101) + '\143' + chr(0b11100 + 0o123) + '\x64' + chr(101))(chr(0b1110101) + chr(13405 - 13289) + chr(4793 - 4691) + '\055' + '\x38'))(s_zddaY3JK2o, EGyt1xfPT1P6)
else:
with _fwkIVCGgtAN(vhXbYptxZ3Pz, xafqLlk3kkUe(SXOLrMavuUCe(b'>\xc3'), chr(100) + '\x65' + chr(0b110 + 0o135) + chr(7519 - 7408) + chr(0b0 + 0o144) + '\145')(chr(0b1010111 + 0o36) + '\x74' + chr(0b1001101 + 0o31) + '\055' + chr(0b11101 + 0o33))) as EGyt1xfPT1P6:
s_zddaY3JK2o = b1Ng5DsPF9ZY.mxtdQMeiwJZJ(EGyt1xfPT1P6)
c4LPmYYq3YWE = {}
n4nT35NNGbmq = ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b0 + 0o60), 8)
for xbXofT5JqYkg in Y79XRCQ61hAA:
SY0NIgiWrFfS = [mDuDykdz0pcm for mDuDykdz0pcm in s_zddaY3JK2o[xbXofT5JqYkg] if mDuDykdz0pcm[xafqLlk3kkUe(SXOLrMavuUCe(b'"\xc0\xa4i'), chr(0b1011101 + 0o7) + chr(0b1100101) + chr(99) + chr(1354 - 1243) + '\144' + chr(0b1100101))(chr(0b1000111 + 0o56) + '\164' + chr(0b1100110) + '\x2d' + chr(56))] == NyppCPy3Y40A]
HdQfPnA6nf66 = WqUC3KWvYVup.B0ePDhpqxN5n([OeWW0F1dBPRQ[xafqLlk3kkUe(SXOLrMavuUCe(b'.\xc3\xa6t'), '\x64' + chr(101) + chr(7950 - 7851) + '\157' + chr(0b1000101 + 0o37) + '\x65')('\x75' + '\164' + chr(0b1001001 + 0o35) + '\055' + '\070')] for OeWW0F1dBPRQ in SY0NIgiWrFfS])
xC2_jF5xjOvO = WqUC3KWvYVup.array([OeWW0F1dBPRQ[xafqLlk3kkUe(SXOLrMavuUCe(b"(\xc8\xafj'\xb6\xfbX\xed"), chr(0b1100100) + chr(0b100100 + 0o101) + '\143' + chr(0b1101111) + chr(100) + chr(0b101101 + 0o70))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + '\070')] for OeWW0F1dBPRQ in SY0NIgiWrFfS]).astype(WqUC3KWvYVup.bool)
WfUKrzEI6HCc = [ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + chr(48), 8)] * c2A0yzQpDQB3(SY0NIgiWrFfS)
n4nT35NNGbmq = n4nT35NNGbmq + xkxBmo49x2An(~xC2_jF5xjOvO)
c4LPmYYq3YWE[xbXofT5JqYkg] = {xafqLlk3kkUe(SXOLrMavuUCe(b'.\xc3\xa6t'), chr(100) + chr(1098 - 997) + chr(99) + chr(0b1001110 + 0o41) + chr(3476 - 3376) + chr(8836 - 8735))(chr(4036 - 3919) + '\164' + '\x66' + '\x2d' + '\x38'): HdQfPnA6nf66, xafqLlk3kkUe(SXOLrMavuUCe(b"(\xc8\xafj'\xb6\xfbX\xed"), chr(740 - 640) + chr(101) + chr(251 - 152) + '\157' + '\144' + chr(0b1000011 + 0o42))(chr(117) + chr(0b1110100) + chr(102) + chr(0b100111 + 0o6) + chr(0b100111 + 0o21)): xC2_jF5xjOvO, xafqLlk3kkUe(SXOLrMavuUCe(b'(\xc4\xbd'), chr(6556 - 6456) + '\x65' + chr(987 - 888) + '\x6f' + chr(100) + chr(0b1001101 + 0o30))(chr(117) + chr(0b101101 + 0o107) + '\x66' + '\055' + chr(1839 - 1783)): WfUKrzEI6HCc}
Nt9vXPQIDffn = gLNZ70iDIL08.V4roHaS3Ppej(NyppCPy3Y40A)
with _fwkIVCGgtAN(Nt9vXPQIDffn, xafqLlk3kkUe(SXOLrMavuUCe(b'>'), '\144' + chr(0b11011 + 0o112) + chr(3757 - 3658) + chr(111) + '\144' + chr(8953 - 8852))('\x75' + chr(0b11011 + 0o131) + chr(0b1100110) + chr(45) + chr(445 - 389))) as EGyt1xfPT1P6:
izUh4XSf7tJY = EGyt1xfPT1P6.readlines()
Q8ApUYCK0FNQ = [OeWW0F1dBPRQ.strip().split(xafqLlk3kkUe(SXOLrMavuUCe(b'l'), chr(1050 - 950) + chr(5871 - 5770) + chr(0b10 + 0o141) + '\x6f' + chr(100) + '\145')(chr(0b111100 + 0o71) + '\x74' + chr(0b1001010 + 0o34) + chr(1078 - 1033) + '\070')) for OeWW0F1dBPRQ in izUh4XSf7tJY]
W5Ur1Obmz2D5 = [OeWW0F1dBPRQ[ehT0Px3KOsy9(chr(1294 - 1246) + chr(0b1101111) + '\x30', 8)] for OeWW0F1dBPRQ in Q8ApUYCK0FNQ]
IGc_qm7pp85x = WqUC3KWvYVup.B0ePDhpqxN5n([kkSX4ccExqw4(OeWW0F1dBPRQ[ehT0Px3KOsy9(chr(1611 - 1563) + chr(0b1101111) + chr(0b110001), 8)]) for OeWW0F1dBPRQ in Q8ApUYCK0FNQ])
HdQfPnA6nf66 = WqUC3KWvYVup.B0ePDhpqxN5n([[kkSX4ccExqw4(AFGBo4BePxZi) for AFGBo4BePxZi in OeWW0F1dBPRQ[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062', 0o10):]] for OeWW0F1dBPRQ in Q8ApUYCK0FNQ])
QWPUo0J8pZnn = WqUC3KWvYVup.argsort(-IGc_qm7pp85x)
qpKTSdDBp8f7 = WqUC3KWvYVup.sort(-IGc_qm7pp85x)
HdQfPnA6nf66 = HdQfPnA6nf66[QWPUo0J8pZnn, :]
W5Ur1Obmz2D5 = [W5Ur1Obmz2D5[OeWW0F1dBPRQ] for OeWW0F1dBPRQ in QWPUo0J8pZnn]
Vy_CFRcuYrTj = c2A0yzQpDQB3(W5Ur1Obmz2D5)
H4gv2k7w5Qi_ = WqUC3KWvYVup.zeros(Vy_CFRcuYrTj)
ey_P6rjw_s2D = WqUC3KWvYVup.zeros(Vy_CFRcuYrTj)
for pd3lxn9vqWxp in vQr8gNKaIaWE(Vy_CFRcuYrTj):
JWG5qApaeJkp = c4LPmYYq3YWE[W5Ur1Obmz2D5[pd3lxn9vqWxp]]
sfEHmy5OifdL = HdQfPnA6nf66[pd3lxn9vqWxp, :].astype(kkSX4ccExqw4)
fEJydcdLEiwu = -WqUC3KWvYVup.inf
HD2utuwoM8vA = JWG5qApaeJkp[xafqLlk3kkUe(SXOLrMavuUCe(b'.\xc3\xa6t'), '\144' + chr(0b0 + 0o145) + '\x63' + chr(0b111011 + 0o64) + chr(0b1100100) + '\145')(chr(117) + chr(0b1110100) + '\x66' + '\x2d' + '\070')].astype(kkSX4ccExqw4)
if xafqLlk3kkUe(HD2utuwoM8vA, xafqLlk3kkUe(SXOLrMavuUCe(b'\x02\xed\xaao}\x97\xcd~\xf7\xb0\xae\xd1'), chr(6454 - 6354) + chr(4938 - 4837) + chr(8924 - 8825) + '\157' + chr(0b1100100) + '\145')(chr(4035 - 3918) + chr(10422 - 10306) + '\x66' + chr(0b101101) + chr(0b11110 + 0o32))) > ehT0Px3KOsy9('\060' + '\157' + '\x30', 8):
vJ4x1Ww5i92J = WqUC3KWvYVup.maximum(HD2utuwoM8vA[:, ehT0Px3KOsy9('\060' + chr(0b110100 + 0o73) + '\060', 8)], sfEHmy5OifdL[ehT0Px3KOsy9(chr(0b110000) + chr(0b1100000 + 0o17) + '\x30', 8)])
Fff4ZuM805KA = WqUC3KWvYVup.maximum(HD2utuwoM8vA[:, ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(2350 - 2239) + chr(0b100110 + 0o13), 8)], sfEHmy5OifdL[ehT0Px3KOsy9(chr(48) + chr(0b100111 + 0o110) + chr(0b11111 + 0o22), 8)])
HQiLfEKA8PlN = WqUC3KWvYVup.minimum(HD2utuwoM8vA[:, ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32', 8)], sfEHmy5OifdL[ehT0Px3KOsy9(chr(48) + '\x6f' + '\062', 8)])
rTbun8JVixwF = WqUC3KWvYVup.minimum(HD2utuwoM8vA[:, ehT0Px3KOsy9('\x30' + chr(11583 - 11472) + '\x33', 8)], sfEHmy5OifdL[ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(51), 8)])
K3FreLTIzd3i = WqUC3KWvYVup.maximum(HQiLfEKA8PlN - vJ4x1Ww5i92J + 1.0, 0.0)
azVlGopTQdfj = WqUC3KWvYVup.maximum(rTbun8JVixwF - Fff4ZuM805KA + 1.0, 0.0)
GZrwZKCGDRhV = K3FreLTIzd3i * azVlGopTQdfj
Ft_W8SK5CLwi = (sfEHmy5OifdL[ehT0Px3KOsy9(chr(0b110000) + chr(8534 - 8423) + chr(0b10111 + 0o33), 8)] - sfEHmy5OifdL[ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(800 - 752), 8)] + 1.0) * (sfEHmy5OifdL[ehT0Px3KOsy9(chr(48) + chr(6419 - 6308) + chr(51), 8)] - sfEHmy5OifdL[ehT0Px3KOsy9(chr(0b110000) + chr(0b11110 + 0o121) + chr(49), 8)] + 1.0) + (HD2utuwoM8vA[:, ehT0Px3KOsy9('\x30' + chr(6896 - 6785) + chr(50), 8)] - HD2utuwoM8vA[:, ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b11100 + 0o123) + chr(48), 8)] + 1.0) * (HD2utuwoM8vA[:, ehT0Px3KOsy9(chr(48) + chr(111) + '\x33', 8)] - HD2utuwoM8vA[:, ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b101100 + 0o103) + chr(0b10 + 0o57), 8)] + 1.0) - GZrwZKCGDRhV
Yi55rHuAO_Zs = GZrwZKCGDRhV / Ft_W8SK5CLwi
fEJydcdLEiwu = WqUC3KWvYVup.tsdjvlgh9gDP(Yi55rHuAO_Zs)
aUbBIAulYpah = WqUC3KWvYVup.argmax(Yi55rHuAO_Zs)
if fEJydcdLEiwu > R8CrtGvzwUxo:
if not JWG5qApaeJkp[xafqLlk3kkUe(SXOLrMavuUCe(b"(\xc8\xafj'\xb6\xfbX\xed"), chr(100) + chr(101) + '\x63' + chr(0b1000100 + 0o53) + '\144' + chr(0b1100 + 0o131))(chr(117) + chr(116) + '\x66' + '\x2d' + chr(1439 - 1383))][aUbBIAulYpah]:
if not JWG5qApaeJkp[xafqLlk3kkUe(SXOLrMavuUCe(b'(\xc4\xbd'), chr(100) + chr(101) + '\143' + '\157' + '\x64' + chr(9320 - 9219))('\165' + '\x74' + '\146' + chr(45) + chr(0b111000))][aUbBIAulYpah]:
H4gv2k7w5Qi_[pd3lxn9vqWxp] = 1.0
JWG5qApaeJkp[xafqLlk3kkUe(SXOLrMavuUCe(b'(\xc4\xbd'), chr(0b1100100) + chr(9873 - 9772) + '\x63' + chr(9846 - 9735) + chr(0b1100100) + chr(0b1100101))('\165' + chr(0b1110100) + chr(0b1100000 + 0o6) + chr(45) + '\x38')][aUbBIAulYpah] = ehT0Px3KOsy9('\060' + '\157' + chr(0b100110 + 0o13), 8)
else:
ey_P6rjw_s2D[pd3lxn9vqWxp] = 1.0
else:
ey_P6rjw_s2D[pd3lxn9vqWxp] = 1.0
ey_P6rjw_s2D = WqUC3KWvYVup.i0lzZW3r00ue(ey_P6rjw_s2D)
H4gv2k7w5Qi_ = WqUC3KWvYVup.i0lzZW3r00ue(H4gv2k7w5Qi_)
MnMCYVsiR1pJ = H4gv2k7w5Qi_ / kkSX4ccExqw4(n4nT35NNGbmq)
ANktCRdddHV_ = H4gv2k7w5Qi_ / WqUC3KWvYVup.maximum(H4gv2k7w5Qi_ + ey_P6rjw_s2D, WqUC3KWvYVup.finfo(WqUC3KWvYVup.float64).eps)
n2zqRR6sJTnh = sttGGoKQ469t(MnMCYVsiR1pJ, ANktCRdddHV_, G1cowTEsVGP6)
return (MnMCYVsiR1pJ, ANktCRdddHV_, n2zqRR6sJTnh)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/mx2onnx/export_onnx.py
|
MXNetGraph.register
|
def register(op_name):
"""Register operators"""
def wrapper(func):
"""Helper function to map functions"""
try:
import onnx as _
MXNetGraph.registry_[op_name] = func
except ImportError:
pass
return func
return wrapper
|
python
|
def register(op_name):
"""Register operators"""
def wrapper(func):
"""Helper function to map functions"""
try:
import onnx as _
MXNetGraph.registry_[op_name] = func
except ImportError:
pass
return func
return wrapper
|
[
"def",
"register",
"(",
"op_name",
")",
":",
"def",
"wrapper",
"(",
"func",
")",
":",
"\"\"\"Helper function to map functions\"\"\"",
"try",
":",
"import",
"onnx",
"as",
"_",
"MXNetGraph",
".",
"registry_",
"[",
"op_name",
"]",
"=",
"func",
"except",
"ImportError",
":",
"pass",
"return",
"func",
"return",
"wrapper"
] |
Register operators
|
[
"Register",
"operators"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/mx2onnx/export_onnx.py#L72-L83
|
train
|
Register a function to map to a specific attribute of the object.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(710 - 662) + '\x6f' + '\x33' + chr(0b101111 + 0o7) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(141 - 90), 13198 - 13190), ehT0Px3KOsy9(chr(203 - 155) + chr(0b100 + 0o153) + chr(0b1010 + 0o55) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(50) + chr(1748 - 1698) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b110001 + 0o4) + chr(2203 - 2154), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1110 + 0o141) + '\x31' + '\x30' + chr(0b110001), 26405 - 26397), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(0b110001) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + '\x32' + chr(2113 - 2062), 0o10), ehT0Px3KOsy9(chr(48) + chr(1362 - 1251) + chr(0b101 + 0o56) + chr(54) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(474 - 426) + chr(1300 - 1189) + chr(49) + chr(0b110000) + chr(0b100001 + 0o20), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b10100 + 0o43) + chr(178 - 130), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(0b1110 + 0o46) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(49) + '\x36', 52662 - 52654), ehT0Px3KOsy9(chr(0b110000) + chr(0b11110 + 0o121) + '\067' + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10 + 0o61) + '\x37' + '\x37', 55897 - 55889), ehT0Px3KOsy9(chr(342 - 294) + chr(0b10101 + 0o132) + chr(2245 - 2195) + chr(2322 - 2271) + chr(2596 - 2544), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(582 - 527) + chr(2149 - 2099), 40417 - 40409), ehT0Px3KOsy9(chr(48) + chr(0b110 + 0o151) + chr(49) + chr(1803 - 1752) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(1409 - 1298) + chr(49) + chr(0b1001 + 0o47) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100 + 0o143) + '\066' + chr(2639 - 2587), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1006 - 956) + '\065' + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(51) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\x30' + chr(0b101010 + 0o15), 40130 - 40122), ehT0Px3KOsy9(chr(2204 - 2156) + chr(111) + chr(51) + chr(55) + chr(0b110000), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(55) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(0b110001) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1011110 + 0o21) + chr(1739 - 1690) + chr(53) + chr(1396 - 1344), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1011000 + 0o27) + chr(0b110001) + '\x33' + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\064' + chr(0b10 + 0o56), 63236 - 63228), ehT0Px3KOsy9(chr(0b110000) + chr(0b10 + 0o155) + chr(51) + '\067' + chr(0b100011 + 0o22), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\x34' + '\x33', 22704 - 22696), ehT0Px3KOsy9(chr(61 - 13) + chr(0b1101111) + '\x32' + chr(1236 - 1188) + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + chr(2139 - 2028) + '\066', 60390 - 60382), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1780 - 1731) + chr(2798 - 2745) + chr(495 - 442), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b0 + 0o61) + '\063' + chr(0b100000 + 0o23), 8), ehT0Px3KOsy9(chr(130 - 82) + chr(4804 - 4693) + '\x33' + '\065' + chr(2466 - 2411), 0b1000), ehT0Px3KOsy9(chr(48) + chr(290 - 179) + '\063' + '\x34' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + '\064' + chr(742 - 693), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(0b100010 + 0o21) + chr(535 - 481) + '\x37', 8), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + chr(49) + '\x31' + chr(51), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10110 + 0o37) + '\060', 30063 - 30055)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd'), chr(0b1100100) + chr(101) + '\143' + '\157' + chr(0b1100100) + '\145')('\165' + chr(0b1110100) + chr(0b1100110) + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def WlGrEKpik_hR(SEaMkyljYwZh):
def WW5T3xxdlUaG(EzOtJ3kbK5x4):
try:
(VNGQdHSFPrso,) = (jFWsnpHpAUWz(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9cmQ\xe8'), chr(100) + chr(5495 - 5394) + '\143' + '\157' + '\x64' + chr(0b101100 + 0o71))(chr(0b1001000 + 0o55) + '\164' + chr(0b11000 + 0o116) + '\x2d' + chr(2920 - 2864))),)
T0T9J07KBYza.mgwJGfII4cAm[SEaMkyljYwZh] = EzOtJ3kbK5x4
except yROw0HWBk0Qc:
pass
return EzOtJ3kbK5x4
return WW5T3xxdlUaG
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/mx2onnx/export_onnx.py
|
MXNetGraph.convert_layer
|
def convert_layer(node, **kwargs):
"""Convert MXNet layer to ONNX"""
op = str(node["op"])
if op not in MXNetGraph.registry_:
raise AttributeError("No conversion function registered for op type %s yet." % op)
convert_func = MXNetGraph.registry_[op]
return convert_func(node, **kwargs)
|
python
|
def convert_layer(node, **kwargs):
"""Convert MXNet layer to ONNX"""
op = str(node["op"])
if op not in MXNetGraph.registry_:
raise AttributeError("No conversion function registered for op type %s yet." % op)
convert_func = MXNetGraph.registry_[op]
return convert_func(node, **kwargs)
|
[
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"[",
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"]",
"return",
"convert_func",
"(",
"node",
",",
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"*",
"kwargs",
")"
] |
Convert MXNet layer to ONNX
|
[
"Convert",
"MXNet",
"layer",
"to",
"ONNX"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/mx2onnx/export_onnx.py#L86-L92
|
train
|
Convert MXNet layer to ONNX layer.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11001 + 0o32) + chr(0b110001) + '\x33', 17554 - 17546), ehT0Px3KOsy9(chr(736 - 688) + '\157' + chr(0b10 + 0o57) + chr(49) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(2267 - 2217) + chr(1689 - 1636) + '\064', 0b1000), ehT0Px3KOsy9(chr(1197 - 1149) + chr(4286 - 4175) + chr(360 - 311) + chr(0b110000) + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11100 + 0o123) + '\x31' + chr(49) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + chr(719 - 670) + chr(53) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b101010 + 0o7), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100000 + 0o26) + chr(1282 - 1234), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110110 + 0o71) + '\063' + chr(52) + chr(0b101000 + 0o11), 53907 - 53899), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b100111 + 0o13) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + '\x35' + '\064', 8), ehT0Px3KOsy9(chr(1061 - 1013) + chr(0b11001 + 0o126) + chr(0b101110 + 0o4) + '\063' + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(0b101000 + 0o12) + '\065', 39981 - 39973), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(293 - 244) + '\x37' + chr(49), 56670 - 56662), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(5627 - 5516) + '\063' + '\x35' + chr(0b100010 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(355 - 307) + chr(4846 - 4735) + chr(50) + chr(0b110010) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1000 + 0o52) + '\061' + chr(0b11101 + 0o31), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100 + 0o143) + chr(0b1011 + 0o47) + chr(53) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(0b100100 + 0o15) + chr(0b11001 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(52) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\060' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(743 - 695) + chr(0b1101111) + '\063' + chr(676 - 622) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(731 - 676) + '\064', 18169 - 18161), ehT0Px3KOsy9(chr(0b110000) + chr(1560 - 1449) + chr(0b110011) + chr(764 - 711) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\067' + '\065', 48345 - 48337), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(149 - 38) + chr(0b100000 + 0o22) + chr(0b110100) + chr(50), 21992 - 21984), ehT0Px3KOsy9(chr(1590 - 1542) + chr(11434 - 11323) + chr(0b101101 + 0o4) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(0b111110 + 0o61) + '\063' + chr(54) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10255 - 10144) + chr(54) + '\063', 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(0b110101) + chr(2711 - 2656), 10756 - 10748), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(53) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(452 - 404) + chr(111) + '\062', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1722 - 1673) + chr(52) + chr(0b111 + 0o54), 0o10), ehT0Px3KOsy9(chr(961 - 913) + chr(0b1101111) + chr(0b101100 + 0o7) + chr(0b110001) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(1824 - 1775) + chr(53) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\x34' + '\x30', 28250 - 28242), ehT0Px3KOsy9('\x30' + chr(2463 - 2352) + chr(50) + '\x33' + chr(0b100000 + 0o23), ord("\x08")), ehT0Px3KOsy9(chr(344 - 296) + '\x6f' + chr(0b10100 + 0o35) + chr(0b10101 + 0o40) + chr(192 - 142), 37430 - 37422)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2191 - 2143) + chr(0b1101111) + '\x35' + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5'), '\144' + chr(0b1100101) + '\143' + '\157' + '\144' + '\x65')('\165' + chr(0b101100 + 0o110) + chr(102) + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def DrLXqkUUjwoz(FDgyextYBrUF, **M8EIoTs2GJXE):
C8dAr6Ujq2Tn = M8_cKLkHVB2V(FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4<'), chr(304 - 204) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(100) + chr(3489 - 3388))('\165' + chr(0b1110100) + chr(0b111 + 0o137) + chr(45) + '\x38')])
if C8dAr6Ujq2Tn not in xafqLlk3kkUe(T0T9J07KBYza, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6+\xdb\r\n\tPy\xd5\xf2\xed\xf5'), '\x64' + chr(4998 - 4897) + chr(0b1011001 + 0o12) + chr(111) + chr(0b101111 + 0o65) + '\x65')(chr(117) + '\x74' + chr(7989 - 7887) + chr(0b101000 + 0o5) + chr(1243 - 1187))):
raise sHOWSIAKtU58(xafqLlk3kkUe(SXOLrMavuUCe(b'\x85#\x8c$"\x01oU\x93\xe2\xc5\xf7s\xf5\x1f\x99\xfc\xed\xdbg\x8b-\xd6\x8e\x8b\x1a~\xd1x\x97AJ\n"\x05\xa0\x1f\x80\xf4\x1a\xeb8\xd57(O<C\xc1\xe8\xc9\xec3'), '\144' + chr(3745 - 3644) + chr(0b1100011) + chr(111) + chr(100) + chr(101))(chr(6209 - 6092) + '\164' + chr(0b100000 + 0o106) + chr(1483 - 1438) + chr(56)) % C8dAr6Ujq2Tn)
pzoxAClGPaBI = T0T9J07KBYza.mgwJGfII4cAm[C8dAr6Ujq2Tn]
return pzoxAClGPaBI(FDgyextYBrUF, **M8EIoTs2GJXE)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/mx2onnx/export_onnx.py
|
MXNetGraph.split_params
|
def split_params(sym, params):
"""Helper function to split params dictionary into args and aux params
Parameters
----------
sym : :class:`~mxnet.symbol.Symbol`
MXNet symbol object
params : dict of ``str`` to :class:`~mxnet.ndarray.NDArray`
Dict of converted parameters stored in ``mxnet.ndarray.NDArray`` format
Returns
-------
arg_params : dict of ``str`` to :class:`~mxnet.ndarray.NDArray`
Dict of converted parameters stored in ``mxnet.ndarray.NDArray`` format
aux_params : dict of ``str`` to :class:`~mxnet.ndarray.NDArray`
Dict of converted parameters stored in ``mxnet.ndarray.NDArray`` format
"""
arg_params = {}
aux_params = {}
for args in sym.list_arguments():
if args in params:
arg_params.update({args: nd.array(params[args])})
for aux in sym.list_auxiliary_states():
if aux in params:
aux_params.update({aux: nd.array(params[aux])})
return arg_params, aux_params
|
python
|
def split_params(sym, params):
"""Helper function to split params dictionary into args and aux params
Parameters
----------
sym : :class:`~mxnet.symbol.Symbol`
MXNet symbol object
params : dict of ``str`` to :class:`~mxnet.ndarray.NDArray`
Dict of converted parameters stored in ``mxnet.ndarray.NDArray`` format
Returns
-------
arg_params : dict of ``str`` to :class:`~mxnet.ndarray.NDArray`
Dict of converted parameters stored in ``mxnet.ndarray.NDArray`` format
aux_params : dict of ``str`` to :class:`~mxnet.ndarray.NDArray`
Dict of converted parameters stored in ``mxnet.ndarray.NDArray`` format
"""
arg_params = {}
aux_params = {}
for args in sym.list_arguments():
if args in params:
arg_params.update({args: nd.array(params[args])})
for aux in sym.list_auxiliary_states():
if aux in params:
aux_params.update({aux: nd.array(params[aux])})
return arg_params, aux_params
|
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"[",
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"]",
")",
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",",
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] |
Helper function to split params dictionary into args and aux params
Parameters
----------
sym : :class:`~mxnet.symbol.Symbol`
MXNet symbol object
params : dict of ``str`` to :class:`~mxnet.ndarray.NDArray`
Dict of converted parameters stored in ``mxnet.ndarray.NDArray`` format
Returns
-------
arg_params : dict of ``str`` to :class:`~mxnet.ndarray.NDArray`
Dict of converted parameters stored in ``mxnet.ndarray.NDArray`` format
aux_params : dict of ``str`` to :class:`~mxnet.ndarray.NDArray`
Dict of converted parameters stored in ``mxnet.ndarray.NDArray`` format
|
[
"Helper",
"function",
"to",
"split",
"params",
"dictionary",
"into",
"args",
"and",
"aux",
"params"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/mx2onnx/export_onnx.py#L95-L120
|
train
|
Helper function to split params dictionary into args and aux params
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b100010 + 0o115) + '\x33' + chr(659 - 609) + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1043 - 992) + chr(626 - 571) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(49) + chr(501 - 452), 13584 - 13576), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1271 - 1220) + chr(352 - 301) + chr(1290 - 1238), 0o10), ehT0Px3KOsy9('\060' + chr(0b10111 + 0o130) + '\063' + chr(49), 18699 - 18691), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(9069 - 8958) + chr(0b110010) + chr(0b110101), 44675 - 44667), ehT0Px3KOsy9(chr(0b110000) + chr(5068 - 4957) + '\x31' + chr(0b110 + 0o52) + chr(303 - 254), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\x34' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(280 - 231) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + '\062', 4162 - 4154), ehT0Px3KOsy9('\x30' + chr(0b1010101 + 0o32) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\065' + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11011 + 0o30) + '\067' + '\x36', 24878 - 24870), ehT0Px3KOsy9(chr(0b110000) + chr(3641 - 3530) + chr(49) + chr(0b110101) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + '\x32' + chr(1123 - 1074) + chr(0b10010 + 0o45), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b110110) + '\067', 26675 - 26667), ehT0Px3KOsy9('\060' + chr(1455 - 1344) + '\062' + '\062' + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b111010 + 0o65) + '\x33' + '\x31' + chr(50), 38594 - 38586), ehT0Px3KOsy9(chr(0b110000) + chr(11977 - 11866) + '\x31' + chr(0b101110 + 0o4), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4080 - 3969) + chr(51) + chr(0b10111 + 0o33) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(0b111111 + 0o60) + chr(724 - 674) + chr(0b10011 + 0o43) + chr(1437 - 1382), 0b1000), ehT0Px3KOsy9(chr(1633 - 1585) + chr(111) + chr(0b110001) + chr(1098 - 1045) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10024 - 9913) + chr(51) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\065' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(319 - 270) + '\x35' + chr(0b100101 + 0o13), 40875 - 40867), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101011 + 0o10) + '\x31' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + chr(49) + chr(0b110000) + chr(0b100100 + 0o20), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(0b110010) + '\x36' + chr(0b1111 + 0o42), 49465 - 49457), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001111 + 0o40) + chr(0b110100) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101 + 0o152) + '\061' + '\x37' + chr(174 - 125), 64754 - 64746), ehT0Px3KOsy9(chr(983 - 935) + '\x6f' + chr(1796 - 1745) + '\066' + chr(1144 - 1091), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1011110 + 0o21) + chr(0b110001) + chr(1099 - 1047) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(1543 - 1488) + '\062', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b1110 + 0o45) + chr(48) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b110 + 0o52) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10693 - 10582) + '\062' + chr(1036 - 985) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1110 + 0o50), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011 + 0o0) + chr(0b1111 + 0o47) + '\067', 0o10), ehT0Px3KOsy9(chr(617 - 569) + chr(0b11110 + 0o121) + '\063' + chr(1080 - 1032) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1001010 + 0o45) + chr(276 - 226) + '\x30' + chr(2165 - 2112), 38622 - 38614)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1000 + 0o55) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc'), chr(100) + chr(101) + chr(5485 - 5386) + chr(0b100001 + 0o116) + chr(9522 - 9422) + chr(101))('\165' + chr(116) + '\146' + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def sRMudazH1J4Q(I7QF3KlS7cYz, nEbJZ4wfte2w):
GroVdzCONmWS = {}
p9GVyAqRTTRh = {}
for kJDRfRhcZHjS in xafqLlk3kkUe(I7QF3KlS7cYz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\x93\xba\xa8Ft3\xc3\xbewd\x85\x8a\x1d'), chr(6568 - 6468) + '\145' + '\x63' + chr(111) + '\144' + '\x65')(chr(117) + chr(2121 - 2005) + chr(0b1100110) + '\x2d' + '\x38'))():
if kJDRfRhcZHjS in nEbJZ4wfte2w:
xafqLlk3kkUe(GroVdzCONmWS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\x8e\x88\x99p[\x0b\xca\xb2.d\xdb'), chr(100) + chr(0b1100101) + '\x63' + chr(111) + chr(325 - 225) + chr(0b1011111 + 0o6))(chr(0b1110101) + chr(0b1110100) + chr(6879 - 6777) + chr(0b1 + 0o54) + '\070'))({kJDRfRhcZHjS: xafqLlk3kkUe(Vy_CFRcuYrTj, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\xca\xac\x8c]}1\xd5\xb3T4\x85'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\x64' + chr(8711 - 8610))('\165' + '\x74' + chr(102) + '\x2d' + chr(56)))(nEbJZ4wfte2w[kJDRfRhcZHjS])})
for bwxMVhRdvLNk in xafqLlk3kkUe(I7QF3KlS7cYz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\x93\xba\xa8Ft4\xdc\xa2vh\x8a\x8c\x17\xd0\x04\xe2\xab~\xb3\xc4'), '\144' + '\x65' + chr(2844 - 2745) + '\157' + chr(0b1100100) + chr(7145 - 7044))(chr(0b1 + 0o164) + chr(0b1001101 + 0o47) + '\146' + chr(45) + '\070'))():
if bwxMVhRdvLNk in nEbJZ4wfte2w:
xafqLlk3kkUe(p9GVyAqRTTRh, xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\x8e\x88\x99p[\x0b\xca\xb2.d\xdb'), '\144' + chr(0b1100101) + '\143' + chr(111) + chr(0b1011101 + 0o7) + chr(0b1100101))(chr(117) + chr(116) + chr(102) + chr(0b101101) + '\070'))({bwxMVhRdvLNk: xafqLlk3kkUe(Vy_CFRcuYrTj, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\xca\xac\x8c]}1\xd5\xb3T4\x85'), chr(100) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(0b11101 + 0o107) + chr(0b1100101))(chr(0b1101000 + 0o15) + '\164' + chr(0b100011 + 0o103) + '\055' + chr(0b111000)))(nEbJZ4wfte2w[bwxMVhRdvLNk])})
return (GroVdzCONmWS, p9GVyAqRTTRh)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/mx2onnx/export_onnx.py
|
MXNetGraph.get_outputs
|
def get_outputs(sym, params, in_shape, in_label):
""" Infer output shapes and return dictionary of output name to shape
:param :class:`~mxnet.symbol.Symbol` sym: symbol to perform infer shape on
:param dic of (str, nd.NDArray) params:
:param list of tuple(int, ...) in_shape: list of all input shapes
:param in_label: name of label typically used in loss that may be left in graph. This name is
removed from list of inputs required by symbol
:return: dictionary of output name to shape
:rtype: dict of (str, tuple(int, ...))
"""
# remove any input listed in params from sym.list_inputs() and bind them to the input shapes provided
# by user. Also remove in_label, which is the name of the label symbol that may have been used
# as the label for loss during training.
inputs = {n: tuple(s) for n, s in zip([n for n in sym.list_inputs() if n not in params and n != in_label],
in_shape)}
# Add params and their shape to list of inputs
inputs.update({n: v.shape for n, v in params.items() if n in sym.list_inputs()})
# Provide input data as well as input params to infer_shape()
_, out_shapes, _ = sym.infer_shape(**inputs)
out_names = list()
for name in sym.list_outputs():
if name.endswith('_output'):
out_names.append(name[:-len('_output')])
else:
logging.info("output '%s' does not end with '_output'", name)
out_names.append(name)
assert len(out_shapes) == len(out_names)
# bind output shapes with output names
graph_outputs = {n: s for n, s in zip(out_names, out_shapes)}
return graph_outputs
|
python
|
def get_outputs(sym, params, in_shape, in_label):
""" Infer output shapes and return dictionary of output name to shape
:param :class:`~mxnet.symbol.Symbol` sym: symbol to perform infer shape on
:param dic of (str, nd.NDArray) params:
:param list of tuple(int, ...) in_shape: list of all input shapes
:param in_label: name of label typically used in loss that may be left in graph. This name is
removed from list of inputs required by symbol
:return: dictionary of output name to shape
:rtype: dict of (str, tuple(int, ...))
"""
# remove any input listed in params from sym.list_inputs() and bind them to the input shapes provided
# by user. Also remove in_label, which is the name of the label symbol that may have been used
# as the label for loss during training.
inputs = {n: tuple(s) for n, s in zip([n for n in sym.list_inputs() if n not in params and n != in_label],
in_shape)}
# Add params and their shape to list of inputs
inputs.update({n: v.shape for n, v in params.items() if n in sym.list_inputs()})
# Provide input data as well as input params to infer_shape()
_, out_shapes, _ = sym.infer_shape(**inputs)
out_names = list()
for name in sym.list_outputs():
if name.endswith('_output'):
out_names.append(name[:-len('_output')])
else:
logging.info("output '%s' does not end with '_output'", name)
out_names.append(name)
assert len(out_shapes) == len(out_names)
# bind output shapes with output names
graph_outputs = {n: s for n, s in zip(out_names, out_shapes)}
return graph_outputs
|
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] |
Infer output shapes and return dictionary of output name to shape
:param :class:`~mxnet.symbol.Symbol` sym: symbol to perform infer shape on
:param dic of (str, nd.NDArray) params:
:param list of tuple(int, ...) in_shape: list of all input shapes
:param in_label: name of label typically used in loss that may be left in graph. This name is
removed from list of inputs required by symbol
:return: dictionary of output name to shape
:rtype: dict of (str, tuple(int, ...))
|
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/mx2onnx/export_onnx.py#L123-L156
|
train
|
Infer output shapes and return dictionary of output name to shape
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(9807 - 9696) + '\x33' + chr(48) + '\061', 22766 - 22758), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(0b101 + 0o55) + chr(384 - 335) + chr(81 - 32), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(2226 - 2174) + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(486 - 438) + chr(0b101111 + 0o7), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(7410 - 7299) + chr(0b110001) + chr(0b11101 + 0o23) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1385 - 1337) + '\157' + '\x33' + chr(1238 - 1189) + chr(727 - 674), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x37' + '\x35', 21312 - 21304), ehT0Px3KOsy9('\060' + '\157' + chr(891 - 841) + '\065' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(12039 - 11928) + chr(0b10101 + 0o34) + '\067' + chr(0b10 + 0o64), 25407 - 25399), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b110101) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(54) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + '\061' + chr(1873 - 1821) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101000 + 0o12) + chr(51) + chr(48), 15091 - 15083), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(2144 - 2095) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(0b11110 + 0o30) + chr(0b11001 + 0o35), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\063' + '\x35' + chr(53), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(0b101011 + 0o6) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10010 + 0o135) + chr(51) + chr(0b110111) + chr(0b110100 + 0o2), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\063' + chr(0b11000 + 0o33), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(0b0 + 0o64) + '\x32', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(55) + chr(0b11010 + 0o35), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(2426 - 2374) + '\x31', 0o10), ehT0Px3KOsy9(chr(1667 - 1619) + chr(111) + chr(51) + chr(50) + chr(0b110 + 0o61), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + chr(0b100110 + 0o13) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101 + 0o142) + chr(0b10001 + 0o40) + chr(54) + '\063', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11010 + 0o31) + chr(691 - 642) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(1759 - 1711) + '\157' + chr(0b1000 + 0o52) + '\x31' + chr(49), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(0b11 + 0o61) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b100 + 0o56) + chr(0b1001 + 0o54), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\x34' + chr(50), 8), ehT0Px3KOsy9(chr(653 - 605) + chr(111) + '\063' + '\065' + '\x30', 0o10), ehT0Px3KOsy9(chr(85 - 37) + chr(111) + chr(0b110010) + chr(1034 - 982) + chr(0b110011), 26199 - 26191), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b0 + 0o62) + '\x30' + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + '\060', 0b1000), ehT0Px3KOsy9(chr(580 - 532) + chr(0b11010 + 0o125) + chr(0b100101 + 0o14) + chr(0b1011 + 0o47), 8), ehT0Px3KOsy9(chr(2017 - 1969) + chr(111) + chr(0b1111 + 0o42) + chr(1322 - 1269) + '\x30', 0b1000), ehT0Px3KOsy9(chr(797 - 749) + chr(690 - 579) + chr(49) + chr(324 - 272) + chr(0b10010 + 0o42), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(0b10111 + 0o32) + chr(0b100000 + 0o26) + '\x33', 8), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1010011 + 0o34) + '\x32' + '\065' + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(52) + '\x32', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b10 + 0o155) + chr(0b101101 + 0o10) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xef'), chr(100) + chr(0b1100101) + chr(99) + chr(0b1101111) + '\144' + '\145')(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Lq0aO6eFqvE4(I7QF3KlS7cYz, nEbJZ4wfte2w, kXXT6PT111uG, iOeGMeOV3tMT):
vXoupepMtCXU = {m1NkCryOw9Bx: KNyTy8rYcwji(vGrByMSYMp9h) for (m1NkCryOw9Bx, vGrByMSYMp9h) in pZ0NK2y6HRbn([m1NkCryOw9Bx for m1NkCryOw9Bx in I7QF3KlS7cYz.list_inputs() if m1NkCryOw9Bx not in nEbJZ4wfte2w and m1NkCryOw9Bx != iOeGMeOV3tMT], kXXT6PT111uG)}
xafqLlk3kkUe(vXoupepMtCXU, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\xfd\xa5\x03,\x83w\xc6\x07\xd9\xd2S'), '\144' + chr(0b1100101) + '\x63' + '\x6f' + chr(100) + chr(0b11010 + 0o113))(chr(7807 - 7690) + '\164' + chr(102) + '\x2d' + '\070'))({m1NkCryOw9Bx: xafqLlk3kkUe(cMbll0QYhULo, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xe8\x91\x1f#\x81Z\xc4*\x9d\xd4\x01'), '\x64' + chr(1349 - 1248) + '\143' + '\x6f' + '\144' + chr(2626 - 2525))('\165' + chr(0b1110100) + chr(0b101000 + 0o76) + chr(607 - 562) + chr(0b111000))) for (m1NkCryOw9Bx, cMbll0QYhULo) in xafqLlk3kkUe(nEbJZ4wfte2w, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xf3\x92#\x0c\x97\x0e\xe1\x12\xbe\xffZ'), '\144' + chr(101) + chr(99) + chr(0b1101111) + '\x64' + '\x65')('\x75' + '\164' + chr(102) + chr(0b101101) + chr(56)))() if m1NkCryOw9Bx in xafqLlk3kkUe(I7QF3KlS7cYz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xad\xe0\x972\x1a\xa4S\xd8\x0b\x99\xc4'), '\144' + '\145' + '\143' + chr(0b1010111 + 0o30) + '\x64' + '\x65')(chr(11365 - 11248) + chr(0b1011000 + 0o34) + chr(0b1100110) + chr(45) + '\070'))()})
(VNGQdHSFPrso, DvOldN0T25Wu, VNGQdHSFPrso) = I7QF3KlS7cYz.infer_shape(**vXoupepMtCXU)
AH1IQag9s8hy = YyaZ4tpXu4lf()
for AIvJRzLdDfgF in xafqLlk3kkUe(I7QF3KlS7cYz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xad\xe0\x972\x1a\xa2H\xdc\x0e\x98\xc3\x10'), '\144' + chr(0b1100101) + chr(0b1011111 + 0o4) + chr(0b1101111) + '\144' + chr(0b1100101))('\x75' + chr(0b11111 + 0o125) + chr(6088 - 5986) + chr(0b11000 + 0o25) + chr(56)))():
if xafqLlk3kkUe(AIvJRzLdDfgF, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4\xe7\x8052\xa4I\xc0'), '\144' + chr(3476 - 3375) + chr(0b1100011) + '\x6f' + '\x64' + chr(0b1100101))(chr(9905 - 9788) + '\164' + chr(0b1000010 + 0o44) + '\x2d' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\xe6\x9125\xb8I'), chr(1639 - 1539) + chr(5459 - 5358) + chr(0b1100011) + chr(0b1101111) + '\144' + '\x65')(chr(117) + '\x74' + chr(9423 - 9321) + '\055' + chr(0b111000))):
xafqLlk3kkUe(AH1IQag9s8hy, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0\xf9\x94#+\xa9'), chr(100) + chr(101) + chr(0b1100011) + chr(0b1010010 + 0o35) + '\144' + chr(0b1000111 + 0o36))('\165' + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(69 - 13)))(AIvJRzLdDfgF[:-c2A0yzQpDQB3(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\xe6\x9125\xb8I'), '\144' + chr(101) + '\x63' + '\x6f' + chr(2388 - 2288) + chr(0b1100100 + 0o1))('\165' + '\x74' + chr(0b1100110) + chr(863 - 818) + chr(0b111000)))])
else:
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x92\xbe\xac>0\xaeZ\x9f\x14\x81\xed\x08'), chr(0b1100100) + chr(5758 - 5657) + '\143' + chr(0b1010010 + 0o35) + '\x64' + chr(0b1100101))('\x75' + chr(1015 - 899) + '\x66' + chr(45) + chr(1387 - 1331)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xae\xfc\x9060\xb9\x1d\x8f[\x9e\x90C\xfc\xe4\xd3\x9en\x90\xf4\x96\x1f\x84\xb9nS\xbd\xe0\xd5=\xc2\xcf\xfc\xe9}~\x18\x11\x07\x89'), '\144' + chr(0b111 + 0o136) + '\x63' + '\x6f' + '\x64' + '\145')(chr(0b1110101) + chr(0b1011010 + 0o32) + chr(0b1100110) + chr(45) + '\070'), AIvJRzLdDfgF)
xafqLlk3kkUe(AH1IQag9s8hy, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0\xf9\x94#+\xa9'), '\144' + chr(0b1100101) + chr(99) + '\157' + chr(100) + chr(0b10101 + 0o120))('\165' + chr(10131 - 10015) + chr(0b1100110) + chr(262 - 217) + chr(0b111000)))(AIvJRzLdDfgF)
assert c2A0yzQpDQB3(DvOldN0T25Wu) == c2A0yzQpDQB3(AH1IQag9s8hy)
P9bTV_uijQle = {m1NkCryOw9Bx: vGrByMSYMp9h for (m1NkCryOw9Bx, vGrByMSYMp9h) in pZ0NK2y6HRbn(AH1IQag9s8hy, DvOldN0T25Wu)}
return P9bTV_uijQle
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/mx2onnx/export_onnx.py
|
MXNetGraph.convert_weights_to_numpy
|
def convert_weights_to_numpy(weights_dict):
"""Convert weights to numpy"""
return dict([(k.replace("arg:", "").replace("aux:", ""), v.asnumpy())
for k, v in weights_dict.items()])
|
python
|
def convert_weights_to_numpy(weights_dict):
"""Convert weights to numpy"""
return dict([(k.replace("arg:", "").replace("aux:", ""), v.asnumpy())
for k, v in weights_dict.items()])
|
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] |
Convert weights to numpy
|
[
"Convert",
"weights",
"to",
"numpy"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/mx2onnx/export_onnx.py#L159-L162
|
train
|
Convert weights to numpy
|
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(2360 - 2249) + chr(0b110100) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\062' + chr(0b11110 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5756 - 5645) + '\061' + chr(0b110001) + '\x31', 64031 - 64023), ehT0Px3KOsy9('\x30' + chr(3811 - 3700) + '\062' + chr(0b110 + 0o57) + chr(0b100101 + 0o16), 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + chr(0b101000 + 0o17) + '\065', 34245 - 34237), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(2231 - 2178) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010101 + 0o32) + chr(51) + chr(0b10000 + 0o43) + chr(0b11101 + 0o27), 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + chr(2055 - 2005) + chr(0b110001) + chr(152 - 103), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1191 - 1141) + '\067', 44326 - 44318), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(0b10101 + 0o33) + chr(975 - 924), 49021 - 49013), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50), 52000 - 51992), ehT0Px3KOsy9('\060' + chr(10654 - 10543) + '\x31' + chr(49) + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(0b101110 + 0o101) + '\061' + '\064' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(5146 - 5035) + chr(49) + chr(345 - 293) + chr(1881 - 1828), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b101000 + 0o107) + chr(50) + chr(620 - 571) + chr(2423 - 2368), 60243 - 60235), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\067' + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1352 - 1301) + chr(52) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(159 - 105) + chr(0b10010 + 0o36), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(1061 - 1009) + chr(0b1001 + 0o50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b1001 + 0o54) + chr(52), 0b1000), ehT0Px3KOsy9(chr(2019 - 1971) + chr(111) + chr(51) + chr(52), 0b1000), ehT0Px3KOsy9(chr(1173 - 1125) + '\x6f' + '\x31' + '\062' + chr(52), 0b1000), ehT0Px3KOsy9(chr(1634 - 1586) + '\157' + '\x32' + '\x30' + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1483 - 1433) + chr(53) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\x6f' + chr(136 - 86) + chr(0b100001 + 0o21) + chr(0b110111), 46896 - 46888), ehT0Px3KOsy9('\x30' + chr(0b101 + 0o152) + '\062' + chr(0b110000) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(655 - 607) + chr(0b1101111) + chr(0b110001) + chr(0b10110 + 0o41) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b111000 + 0o67) + chr(0b110010) + '\067' + chr(0b100111 + 0o14), 13558 - 13550), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\062' + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1110 + 0o141) + chr(1362 - 1313) + chr(0b110100) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(981 - 930) + chr(2356 - 2303), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(407 - 296) + chr(607 - 558) + chr(0b101 + 0o54) + chr(0b101011 + 0o13), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + '\x33' + chr(0b110100) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\062' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + '\x33' + chr(52), 8), ehT0Px3KOsy9(chr(0b110000) + chr(4740 - 4629) + chr(0b101100 + 0o7) + chr(1155 - 1103), 8), ehT0Px3KOsy9('\060' + chr(3219 - 3108) + '\063' + chr(2704 - 2651), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1920 - 1869) + '\x31' + chr(1952 - 1898), 31474 - 31466)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2763 - 2710) + chr(1130 - 1082), 61082 - 61074)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c'), '\144' + chr(101) + '\x63' + chr(111) + chr(0b1100100) + '\x65')(chr(0b10001 + 0o144) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def MnRUFx73v6Pu(nDufpLZyj9Y6):
return wLqBDw8l0eIm([(xafqLlk3kkUe(OolUPRJhRaJd.replace(xafqLlk3kkUe(SXOLrMavuUCe(b'C\xa4.\x91'), chr(0b1100100) + chr(0b1100101) + chr(99) + '\157' + chr(100) + chr(0b110101 + 0o60))(chr(0b1110101) + chr(13285 - 13169) + chr(0b1100110) + '\x2d' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(3773 - 3673) + '\x65' + chr(99) + chr(0b1011101 + 0o22) + chr(3776 - 3676) + chr(1176 - 1075))('\165' + chr(0b1101001 + 0o13) + chr(102) + '\055' + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b'P\xb39\xc7\\\x08\xb9'), '\x64' + chr(0b100111 + 0o76) + '\143' + chr(0b1101111 + 0o0) + chr(0b100000 + 0o104) + '\x65')(chr(0b1110101) + chr(431 - 315) + chr(3271 - 3169) + chr(1513 - 1468) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'C\xa31\x91'), chr(0b1100100) + chr(0b1100101) + chr(6650 - 6551) + '\x6f' + '\x64' + chr(0b100010 + 0o103))('\x75' + '\x74' + '\x66' + chr(1403 - 1358) + chr(2070 - 2014)), xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b1011010 + 0o12) + chr(0b110110 + 0o57) + chr(0b1100011) + chr(9268 - 9157) + chr(100) + chr(2923 - 2822))(chr(117) + chr(6372 - 6256) + '\x66' + chr(45) + '\070')), xafqLlk3kkUe(cMbll0QYhULo, xafqLlk3kkUe(SXOLrMavuUCe(b"C\xa5'\xdeP\x1b\xa5"), chr(0b1010101 + 0o17) + chr(8768 - 8667) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(6433 - 6332))('\x75' + chr(0b1110100) + chr(0b100000 + 0o106) + chr(0b1100 + 0o41) + chr(56)))()) for (OolUPRJhRaJd, cMbll0QYhULo) in xafqLlk3kkUe(nDufpLZyj9Y6, xafqLlk3kkUe(SXOLrMavuUCe(b'l\xac?\xcet1\xef\xc0{\xd0Js'), '\144' + '\145' + '\x63' + '\157' + chr(0b1100100) + '\x65')('\x75' + chr(1146 - 1030) + chr(102) + chr(45) + chr(56)))()])
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/mx2onnx/export_onnx.py
|
MXNetGraph.create_onnx_graph_proto
|
def create_onnx_graph_proto(self, sym, params, in_shape, in_type, verbose=False):
"""Convert MXNet graph to ONNX graph
Parameters
----------
sym : :class:`~mxnet.symbol.Symbol`
MXNet symbol object
params : dict of ``str`` to :class:`~mxnet.ndarray.NDArray`
Dict of converted parameters stored in ``mxnet.ndarray.NDArray`` format
in_shape : List of tuple
Input shape of the model e.g [(1,3,224,224)]
in_type : data type
Input data type e.g. np.float32
verbose : Boolean
If true will print logs of the model conversion
Returns
-------
graph : GraphProto
ONNX graph
"""
try:
from onnx import (checker, helper, NodeProto, ValueInfoProto, TensorProto)
from onnx.helper import make_tensor_value_info
except ImportError:
raise ImportError("Onnx and protobuf need to be installed. "
+ "Instructions to install - https://github.com/onnx/onnx")
# When MXNet model is saved to json file , MXNet adds a node for label.
# The name of this node is, name of the last node + "_label" ( i.e if last node
# name is "Softmax", this node will have a name "Softmax_label". Also, the new node
# will always be second last node in the json graph.
# Deriving the output_label name.
output_label = sym.get_internals()[len(sym.get_internals()) - 1].name + "_label"
weights = MXNetGraph.convert_weights_to_numpy(params)
mx_graph = json.loads(sym.tojson())["nodes"]
initializer = []
all_processed_nodes = []
onnx_processed_nodes = []
onnx_processed_inputs = []
onnx_processed_outputs = []
index_lookup = []
# Determine output shape
graph_outputs = MXNetGraph.get_outputs(sym, params, in_shape, output_label)
graph_input_idx = 0
for idx, node in enumerate(mx_graph):
op = node["op"]
name = node["name"]
if verbose:
logging.info("Converting idx: %d, op: %s, name: %s", idx, op, name)
# A node is an input node if its op_name is "null" and is not
# in params dict
if op == "null" and name not in params:
# Handling graph input
# Skipping output_label node, as this node is not part of graph
# Refer "output_label" assignment above for more details.
if name == output_label:
continue
converted = MXNetGraph.convert_layer(
node,
is_input=True,
mx_graph=mx_graph,
weights=weights,
in_shape=in_shape[graph_input_idx],
in_type=in_type,
proc_nodes=all_processed_nodes,
initializer=initializer,
index_lookup=index_lookup)
graph_input_idx += 1
else:
# Handling graph layers
converted = MXNetGraph.convert_layer(
node,
is_input=False,
mx_graph=mx_graph,
weights=weights,
in_shape=in_shape,
in_type=in_type,
proc_nodes=all_processed_nodes,
initializer=initializer,
index_lookup=index_lookup,
idx=idx
)
if isinstance(converted, list):
# Iterate for all converted nodes
for converted_node in converted:
# If converted node is ValueInfoProto, add it in inputs
if isinstance(converted_node, ValueInfoProto):
onnx_processed_inputs.append(converted_node)
# If converted node is NodeProto, add it in processed nodes list
elif isinstance(converted_node, NodeProto):
onnx_processed_nodes.append(converted_node)
# some operators have multiple outputs,
# therefore, check all output node names
node_names = list(converted_node.output)
for nodename in node_names:
if nodename in graph_outputs:
onnx_processed_outputs.append(
make_tensor_value_info(
name=nodename,
elem_type=in_type,
shape=graph_outputs[nodename]
)
)
if verbose:
logging.info("Output node is: %s", nodename)
elif isinstance(converted_node, TensorProto):
raise ValueError("Did not expect TensorProto")
else:
raise ValueError("node is of an unrecognized type: %s" % type(node))
all_processed_nodes.append(converted_node)
if idx > 0:
# Handling extra node added to the graph if the MXNet model was
# saved to json file,
# refer "output_label" initialization above for more details.
# if extra node was added then prev_index to the last node is adjusted.
if idx == (len(mx_graph) - 1) and \
mx_graph[len(mx_graph)-2]["name"] == output_label:
prev_index = index_lookup[idx - 2]
else:
prev_index = index_lookup[idx - 1]
index_lookup.append(prev_index+len(converted))
else:
index_lookup.append(len(converted) - 1)
else:
logging.info("Operator converter function should always return a list")
graph = helper.make_graph(
onnx_processed_nodes,
"mxnet_converted_model",
onnx_processed_inputs,
onnx_processed_outputs
)
graph.initializer.extend(initializer)
checker.check_graph(graph)
return graph
|
python
|
def create_onnx_graph_proto(self, sym, params, in_shape, in_type, verbose=False):
"""Convert MXNet graph to ONNX graph
Parameters
----------
sym : :class:`~mxnet.symbol.Symbol`
MXNet symbol object
params : dict of ``str`` to :class:`~mxnet.ndarray.NDArray`
Dict of converted parameters stored in ``mxnet.ndarray.NDArray`` format
in_shape : List of tuple
Input shape of the model e.g [(1,3,224,224)]
in_type : data type
Input data type e.g. np.float32
verbose : Boolean
If true will print logs of the model conversion
Returns
-------
graph : GraphProto
ONNX graph
"""
try:
from onnx import (checker, helper, NodeProto, ValueInfoProto, TensorProto)
from onnx.helper import make_tensor_value_info
except ImportError:
raise ImportError("Onnx and protobuf need to be installed. "
+ "Instructions to install - https://github.com/onnx/onnx")
# When MXNet model is saved to json file , MXNet adds a node for label.
# The name of this node is, name of the last node + "_label" ( i.e if last node
# name is "Softmax", this node will have a name "Softmax_label". Also, the new node
# will always be second last node in the json graph.
# Deriving the output_label name.
output_label = sym.get_internals()[len(sym.get_internals()) - 1].name + "_label"
weights = MXNetGraph.convert_weights_to_numpy(params)
mx_graph = json.loads(sym.tojson())["nodes"]
initializer = []
all_processed_nodes = []
onnx_processed_nodes = []
onnx_processed_inputs = []
onnx_processed_outputs = []
index_lookup = []
# Determine output shape
graph_outputs = MXNetGraph.get_outputs(sym, params, in_shape, output_label)
graph_input_idx = 0
for idx, node in enumerate(mx_graph):
op = node["op"]
name = node["name"]
if verbose:
logging.info("Converting idx: %d, op: %s, name: %s", idx, op, name)
# A node is an input node if its op_name is "null" and is not
# in params dict
if op == "null" and name not in params:
# Handling graph input
# Skipping output_label node, as this node is not part of graph
# Refer "output_label" assignment above for more details.
if name == output_label:
continue
converted = MXNetGraph.convert_layer(
node,
is_input=True,
mx_graph=mx_graph,
weights=weights,
in_shape=in_shape[graph_input_idx],
in_type=in_type,
proc_nodes=all_processed_nodes,
initializer=initializer,
index_lookup=index_lookup)
graph_input_idx += 1
else:
# Handling graph layers
converted = MXNetGraph.convert_layer(
node,
is_input=False,
mx_graph=mx_graph,
weights=weights,
in_shape=in_shape,
in_type=in_type,
proc_nodes=all_processed_nodes,
initializer=initializer,
index_lookup=index_lookup,
idx=idx
)
if isinstance(converted, list):
# Iterate for all converted nodes
for converted_node in converted:
# If converted node is ValueInfoProto, add it in inputs
if isinstance(converted_node, ValueInfoProto):
onnx_processed_inputs.append(converted_node)
# If converted node is NodeProto, add it in processed nodes list
elif isinstance(converted_node, NodeProto):
onnx_processed_nodes.append(converted_node)
# some operators have multiple outputs,
# therefore, check all output node names
node_names = list(converted_node.output)
for nodename in node_names:
if nodename in graph_outputs:
onnx_processed_outputs.append(
make_tensor_value_info(
name=nodename,
elem_type=in_type,
shape=graph_outputs[nodename]
)
)
if verbose:
logging.info("Output node is: %s", nodename)
elif isinstance(converted_node, TensorProto):
raise ValueError("Did not expect TensorProto")
else:
raise ValueError("node is of an unrecognized type: %s" % type(node))
all_processed_nodes.append(converted_node)
if idx > 0:
# Handling extra node added to the graph if the MXNet model was
# saved to json file,
# refer "output_label" initialization above for more details.
# if extra node was added then prev_index to the last node is adjusted.
if idx == (len(mx_graph) - 1) and \
mx_graph[len(mx_graph)-2]["name"] == output_label:
prev_index = index_lookup[idx - 2]
else:
prev_index = index_lookup[idx - 1]
index_lookup.append(prev_index+len(converted))
else:
index_lookup.append(len(converted) - 1)
else:
logging.info("Operator converter function should always return a list")
graph = helper.make_graph(
onnx_processed_nodes,
"mxnet_converted_model",
onnx_processed_inputs,
onnx_processed_outputs
)
graph.initializer.extend(initializer)
checker.check_graph(graph)
return graph
|
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] |
Convert MXNet graph to ONNX graph
Parameters
----------
sym : :class:`~mxnet.symbol.Symbol`
MXNet symbol object
params : dict of ``str`` to :class:`~mxnet.ndarray.NDArray`
Dict of converted parameters stored in ``mxnet.ndarray.NDArray`` format
in_shape : List of tuple
Input shape of the model e.g [(1,3,224,224)]
in_type : data type
Input data type e.g. np.float32
verbose : Boolean
If true will print logs of the model conversion
Returns
-------
graph : GraphProto
ONNX graph
|
[
"Convert",
"MXNet",
"graph",
"to",
"ONNX",
"graph"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/mx2onnx/export_onnx.py#L164-L313
|
train
|
Convert MXNet graph to ONNX graph proto.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(2108 - 1997) + chr(51) + chr(0b110000 + 0o2) + chr(0b0 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(451 - 400) + chr(52) + chr(49), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(49) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10110 + 0o131) + chr(0b110011) + '\061' + chr(53), 6085 - 6077), ehT0Px3KOsy9(chr(732 - 684) + '\x6f' + chr(1442 - 1393) + chr(0b11 + 0o56) + chr(0b100 + 0o62), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + '\066', 34697 - 34689), ehT0Px3KOsy9(chr(761 - 713) + '\157' + chr(50) + chr(2990 - 2935) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + chr(6649 - 6538) + chr(1364 - 1313) + chr(0b100010 + 0o16) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(1928 - 1877) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(2085 - 2032), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(2075 - 2025) + chr(877 - 826) + chr(0b1010 + 0o51), 62277 - 62269), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + '\x32' + '\x30' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10010 + 0o37) + '\066' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(237 - 189) + chr(0b11110 + 0o121) + chr(0b1010 + 0o47) + chr(0b10010 + 0o40) + chr(1201 - 1151), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110100 + 0o0) + chr(1370 - 1315), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b110100) + chr(804 - 756), 64140 - 64132), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b110101) + '\x31', 0b1000), ehT0Px3KOsy9(chr(2178 - 2130) + '\157' + chr(0b110010) + chr(52) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110101 + 0o2) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9630 - 9519) + chr(0b110001) + chr(0b110011) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + '\x32' + chr(0b10101 + 0o34), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(3475 - 3364) + chr(49) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + '\062' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + chr(49) + chr(2224 - 2170) + chr(51), 65448 - 65440), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(10144 - 10033) + chr(0b110001) + chr(54) + '\x32', 0b1000), ehT0Px3KOsy9(chr(698 - 650) + chr(0b1101111) + chr(0b110011) + '\062' + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\x36' + chr(0b101110 + 0o5), 8), ehT0Px3KOsy9(chr(1261 - 1213) + chr(111) + chr(0b11100 + 0o27) + chr(53) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + '\x34' + chr(0b100000 + 0o20), 8), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(0b1100 + 0o45) + chr(745 - 691) + chr(54), 8), ehT0Px3KOsy9('\x30' + chr(4382 - 4271) + '\x31' + chr(0b110010), 27225 - 27217), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + '\062' + chr(376 - 328) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110101) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(0b100100 + 0o113) + '\064' + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(3038 - 2927) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(1174 - 1126) + '\x6f' + chr(0b11011 + 0o30) + chr(49) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100110 + 0o13) + '\x35' + '\062', 0b1000), ehT0Px3KOsy9(chr(1726 - 1678) + '\x6f' + chr(0b11101 + 0o25) + '\063' + chr(824 - 772), 52325 - 52317), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + '\067' + chr(1791 - 1741), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(726 - 615) + '\061' + '\061' + '\064', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(9357 - 9246) + chr(53) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfe'), chr(100) + chr(424 - 323) + chr(6402 - 6303) + '\157' + chr(0b10111 + 0o115) + chr(0b1100101))(chr(0b100000 + 0o125) + '\164' + chr(0b1100110) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def OSeu0OTSy1Se(oVre8I6UXc3b, I7QF3KlS7cYz, nEbJZ4wfte2w, kXXT6PT111uG, X8jkFdGFD7Pf, j5jgrsOGZdZ4=ehT0Px3KOsy9('\060' + '\x6f' + chr(1360 - 1312), 8)):
try:
(cDTcU0_Ubk52, D2UHT2N78p3Y, fNKkDTFhloF1, Yf8JEu4aue5i, OQJZWUVbJZfJ) = (xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x8f\xe7\xb5'), chr(0b1100100) + '\x65' + chr(0b10100 + 0o117) + chr(11538 - 11427) + '\x64' + chr(0b110001 + 0o64))(chr(10042 - 9925) + chr(0b110001 + 0o103) + chr(102) + '\055' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\x89\xec\xae%c\xcf'), '\144' + chr(0b111001 + 0o54) + chr(99) + '\x6f' + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(45) + chr(0b100101 + 0o23))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\x89\xec\xae%c\xcf'), '\144' + chr(101) + '\143' + '\157' + chr(0b10 + 0o142) + '\x65')(chr(0b1101101 + 0o10) + chr(0b1110100) + '\x66' + chr(0b11001 + 0o24) + chr(0b111000))), xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x8f\xe7\xb5'), '\144' + chr(101) + chr(0b11101 + 0o106) + chr(0b11101 + 0o122) + chr(0b1011110 + 0o6) + '\145')(chr(117) + '\x74' + '\x66' + '\055' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\x84\xe5\xbd+t'), chr(0b1100100) + '\145' + chr(0b1001000 + 0o33) + chr(0b1000100 + 0o53) + chr(0b111100 + 0o50) + chr(0b110001 + 0o64))(chr(6253 - 6136) + chr(0b1110100) + chr(5875 - 5773) + chr(45) + '\x38')), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\x84\xe5\xbd+t'), '\144' + chr(0b1100101) + '\x63' + '\157' + '\144' + '\145')(chr(4531 - 4414) + chr(2728 - 2612) + chr(102) + chr(45) + '\070')), xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x8f\xe7\xb5'), chr(0b1100100) + '\145' + '\x63' + chr(0b1100101 + 0o12) + chr(100) + '\145')(chr(3693 - 3576) + '\164' + '\146' + chr(1885 - 1840) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\x8e\xed\xa8\x1et\xd2\xb5\xb1'), chr(0b1100100) + chr(0b111100 + 0o51) + chr(0b0 + 0o143) + '\157' + chr(0b1011 + 0o131) + chr(2210 - 2109))(chr(6427 - 6310) + chr(116) + chr(0b1100100 + 0o2) + chr(0b101101) + '\x38')), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\x8e\xed\xa8\x1et\xd2\xb5\xb1'), chr(0b1100100) + chr(0b1000 + 0o135) + '\143' + chr(111) + chr(0b1100100) + chr(0b1100101))('\x75' + '\x74' + chr(2996 - 2894) + '\055' + '\x38')), xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x8f\xe7\xb5'), chr(7490 - 7390) + chr(2609 - 2508) + '\x63' + '\157' + '\144' + chr(101))(chr(117) + chr(0b1110100) + '\x66' + chr(0b11000 + 0o25) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x86\x80\xe5\xb8+O\xd3\xa7\xb1]\xe9\xe9\x02='), chr(0b1011010 + 0o12) + '\145' + chr(0b111011 + 0o50) + '\157' + '\144' + '\x65')(chr(117) + chr(0b1110100) + chr(102) + chr(349 - 304) + '\070')), xafqLlk3kkUe(SXOLrMavuUCe(b'\x86\x80\xe5\xb8+O\xd3\xa7\xb1]\xe9\xe9\x02='), '\144' + '\145' + chr(99) + '\157' + '\x64' + '\x65')(chr(5603 - 5486) + chr(116) + chr(4935 - 4833) + '\055' + chr(0b111000))), xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x8f\xe7\xb5'), chr(100) + chr(0b110010 + 0o63) + '\x63' + chr(1301 - 1190) + '\x64' + '\x65')(chr(0b1000010 + 0o63) + chr(0b1000011 + 0o61) + '\x66' + chr(0b101101) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x84\x84\xe7\xbe!t\xed\xb3\xb1y\xf4'), chr(0b1010011 + 0o21) + '\145' + chr(0b1100011) + '\x6f' + '\144' + chr(1609 - 1508))(chr(0b1110101) + '\x74' + chr(0b11010 + 0o114) + chr(0b11111 + 0o16) + chr(0b111000))), xafqLlk3kkUe(SXOLrMavuUCe(b'\x84\x84\xe7\xbe!t\xed\xb3\xb1y\xf4'), chr(0b110110 + 0o56) + '\x65' + chr(0b1100011) + '\157' + chr(100) + chr(4946 - 4845))('\165' + chr(0b100001 + 0o123) + chr(0b11 + 0o143) + '\x2d' + chr(0b111000))))
(Jz_TRkmyU9Xd,) = (xafqLlk3kkUe(xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x8f\xe7\xb5`n\xd8\xad\xaeh\xe9'), '\x64' + chr(0b1011110 + 0o7) + '\143' + chr(0b1001100 + 0o43) + chr(0b1100100) + chr(101))('\x75' + chr(116) + chr(102) + '\055' + chr(0b0 + 0o70)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\x80\xe2\xa8\x11r\xd8\xaf\xadb\xe9\xd9\x003K\x95\xcc\xffU17a'), chr(8378 - 8278) + chr(0b11100 + 0o111) + chr(9203 - 9104) + chr(111) + chr(0b101011 + 0o71) + chr(101))('\x75' + chr(0b1110100 + 0o0) + chr(2721 - 2619) + chr(0b0 + 0o55) + chr(3107 - 3051))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\x84\xe5\xbd+t'), chr(100) + '\x65' + chr(99) + chr(10993 - 10882) + chr(7546 - 7446) + chr(101))('\x75' + chr(0b1000 + 0o154) + chr(0b1100110) + chr(0b101101) + '\070')), xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\x80\xe2\xa8\x11r\xd8\xaf\xadb\xe9\xd9\x003K\x95\xcc\xffU17a'), chr(0b1100100) + chr(101) + chr(99) + '\157' + '\144' + '\x65')(chr(0b1110101) + chr(116) + '\146' + chr(294 - 249) + '\070')),)
except yROw0HWBk0Qc:
raise yROw0HWBk0Qc(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x8f\xe7\xb5ng\xd3\xa5\xfe}\xe9\xe9\x02=E\x95\xcf\x80R:4j\xf3\x07\x1d\xf0\x11\x8f\x80\x1fd\xf0]Dl\xa0\x0f\xf8\x94l'), chr(0b1100100) + chr(0b101100 + 0o71) + chr(7451 - 7352) + chr(6520 - 6409) + chr(7055 - 6955) + chr(8424 - 8323))(chr(117) + '\x74' + '\x66' + chr(45) + chr(0b111000)) + xafqLlk3kkUe(SXOLrMavuUCe(b'\x99\x8f\xfa\xb9<s\xde\xb5\xb7b\xf5\xf5V&H\xc0\xc0\xceO+0b\xbfS_\xf0\x1b\x9e\xd4\x06y\xb9\x06\ng\xa5\x1e\xf4\xcf.\xfe\x82\xe6\xa0ai\xd3\xaf\xa6"\xf4\xe8\x18*'), '\x64' + chr(0b1100101) + '\143' + '\157' + '\144' + chr(774 - 673))(chr(0b1110101) + '\164' + '\x66' + chr(0b101011 + 0o2) + chr(0b10011 + 0o45)))
vh6MtYSkkWWB = I7QF3KlS7cYz.get_internals()[c2A0yzQpDQB3(I7QF3KlS7cYz.get_internals()) - ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49), 0b1000)].AIvJRzLdDfgF + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\x8d\xe8\xaf+j'), chr(100) + chr(0b100100 + 0o101) + '\143' + chr(0b1101111) + '\x64' + '\145')('\165' + chr(6334 - 6218) + chr(0b1100110) + chr(0b10011 + 0o32) + '\x38')
ZurHTci57aXw = T0T9J07KBYza.convert_weights_to_numpy(nEbJZ4wfte2w)
zrxeoQQ2pZhf = fXk443epxtd5.loads(I7QF3KlS7cYz.tojson())[xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\x8e\xed\xa8='), chr(0b111010 + 0o52) + chr(1965 - 1864) + '\x63' + chr(10402 - 10291) + chr(0b1011111 + 0o5) + '\x65')('\x75' + chr(0b11101 + 0o127) + chr(7878 - 7776) + chr(0b101101) + chr(0b111000))]
kwfuYzkY5C57 = []
Wi0M9q_Z1um3 = []
RUei7ZNf32y6 = []
N5vLXcFzkwsL = []
gQolgWwa4RLZ = []
pVWhhfR9jGIe = []
P9bTV_uijQle = T0T9J07KBYza.get_outputs(I7QF3KlS7cYz, nEbJZ4wfte2w, kXXT6PT111uG, vh6MtYSkkWWB)
VXnfz05IG59b = ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110000), 8)
for (YlqusYB6InkM, FDgyextYBrUF) in YlkZvXL8qwsX(zrxeoQQ2pZhf):
C8dAr6Ujq2Tn = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x91'), '\x64' + chr(101) + '\x63' + chr(1272 - 1161) + '\144' + chr(8762 - 8661))(chr(0b101101 + 0o110) + chr(0b1110100) + '\x66' + chr(0b101 + 0o50) + '\070')]
AIvJRzLdDfgF = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\x80\xe4\xa8'), chr(4079 - 3979) + chr(0b10000 + 0o125) + chr(99) + chr(189 - 78) + '\x64' + chr(101))(chr(3486 - 3369) + chr(0b1110100) + chr(102) + chr(45) + chr(0b100101 + 0o23))]
if j5jgrsOGZdZ4:
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\xd6\xc1\xb5;e\xda\xf6\xb4a\xc1\xed'), chr(8776 - 8676) + chr(0b1100101) + '\143' + chr(0b1101111) + '\144' + chr(0b1010101 + 0o20))('\x75' + '\x74' + '\146' + chr(0b101010 + 0o3) + chr(0b11000 + 0o40)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x93\x8e\xe7\xbb+t\xc9\xa8\xb0j\xbb\xef\x12*\x1d\xc0\x8c\xc4\x10\x7f>~\xe9SW\xa3_\xca\xce\x17g\xe6\x13\x05%\xbf'), chr(0b1100100) + chr(0b1100101) + chr(0b101011 + 0o70) + '\157' + chr(5466 - 5366) + chr(101))('\x75' + chr(0b1000100 + 0o60) + '\x66' + '\x2d' + '\x38'), YlqusYB6InkM, C8dAr6Ujq2Tn, AIvJRzLdDfgF)
if C8dAr6Ujq2Tn == xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\x94\xe5\xa1'), chr(0b111100 + 0o50) + '\x65' + chr(0b100001 + 0o102) + '\157' + chr(0b10001 + 0o123) + '\x65')(chr(0b1101110 + 0o7) + chr(0b110111 + 0o75) + chr(0b1000110 + 0o40) + '\x2d' + '\x38') and AIvJRzLdDfgF not in nEbJZ4wfte2w:
if AIvJRzLdDfgF == vh6MtYSkkWWB:
continue
ekolk5wRLA_R = T0T9J07KBYza.convert_layer(FDgyextYBrUF, is_input=ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(0b110001), 8), mx_graph=zrxeoQQ2pZhf, weights=ZurHTci57aXw, in_shape=kXXT6PT111uG[VXnfz05IG59b], in_type=X8jkFdGFD7Pf, proc_nodes=Wi0M9q_Z1um3, initializer=kwfuYzkY5C57, index_lookup=pVWhhfR9jGIe)
VXnfz05IG59b += ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(8442 - 8331) + '\x31', 8)
else:
ekolk5wRLA_R = T0T9J07KBYza.convert_layer(FDgyextYBrUF, is_input=ehT0Px3KOsy9('\060' + chr(10474 - 10363) + chr(0b110000), 8), mx_graph=zrxeoQQ2pZhf, weights=ZurHTci57aXw, in_shape=kXXT6PT111uG, in_type=X8jkFdGFD7Pf, proc_nodes=Wi0M9q_Z1um3, initializer=kwfuYzkY5C57, index_lookup=pVWhhfR9jGIe, idx=YlqusYB6InkM)
if PlSM16l2KDPD(ekolk5wRLA_R, YyaZ4tpXu4lf):
for jyC49sQHbxj9 in ekolk5wRLA_R:
if PlSM16l2KDPD(jyC49sQHbxj9, Yf8JEu4aue5i):
xafqLlk3kkUe(N5vLXcFzkwsL, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\x91\xf9\xa8 b'), chr(9997 - 9897) + '\x65' + chr(0b1100011) + chr(0b1010101 + 0o32) + chr(0b1100011 + 0o1) + '\x65')(chr(0b1110101) + '\164' + chr(1008 - 906) + '\055' + chr(0b1111 + 0o51)))(jyC49sQHbxj9)
elif PlSM16l2KDPD(jyC49sQHbxj9, fNKkDTFhloF1):
xafqLlk3kkUe(RUei7ZNf32y6, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\x91\xf9\xa8 b'), '\x64' + '\145' + chr(0b1001000 + 0o33) + '\157' + chr(0b10101 + 0o117) + chr(0b11011 + 0o112))(chr(117) + chr(0b1110100) + chr(0b1010000 + 0o26) + chr(0b101101) + chr(0b111000)))(jyC49sQHbxj9)
F_f1aIGvsJc9 = YyaZ4tpXu4lf(jyC49sQHbxj9.e1jVqMSBZ01Y)
for O5DvB4vZaRZd in F_f1aIGvsJc9:
if O5DvB4vZaRZd in P9bTV_uijQle:
xafqLlk3kkUe(gQolgWwa4RLZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\x91\xf9\xa8 b'), chr(0b1001110 + 0o26) + '\145' + '\x63' + '\x6f' + '\x64' + '\145')(chr(0b1110101) + '\164' + chr(0b1100110) + chr(45) + chr(0b10 + 0o66)))(Jz_TRkmyU9Xd(name=O5DvB4vZaRZd, elem_type=X8jkFdGFD7Pf, shape=P9bTV_uijQle[O5DvB4vZaRZd]))
if j5jgrsOGZdZ4:
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\xd6\xc1\xb5;e\xda\xf6\xb4a\xc1\xed'), '\x64' + '\x65' + chr(0b11 + 0o140) + chr(0b1011010 + 0o25) + '\x64' + '\x65')('\165' + chr(12758 - 12642) + '\146' + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x94\xfd\xbd;r\x9d\xaf\xb1i\xfe\xa6\x1f!\x1d\xc0\x8c\xd3'), chr(0b1100100) + '\145' + '\143' + chr(1714 - 1603) + '\144' + chr(9287 - 9186))('\x75' + '\x74' + chr(102) + chr(0b101101) + chr(56)), O5DvB4vZaRZd)
elif PlSM16l2KDPD(jyC49sQHbxj9, OQJZWUVbJZfJ):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x94\x88\xed\xed i\xc9\xe1\xbbu\xeb\xe3\x15&\x07\xb4\xcc\xceO0#^\xa1\x1c\x06\xbf'), chr(0b1100100) + chr(6180 - 6079) + chr(99) + chr(9926 - 9815) + chr(0b110101 + 0o57) + '\145')('\x75' + chr(6216 - 6100) + chr(0b1100110) + '\x2d' + chr(0b111000)))
else:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\x8e\xed\xa8no\xce\xe1\xb1k\xbb\xe7\x18rR\x8e\xdb\xc5_06`\xba\t\x17\xb4S\x9e\xd9\x06o\xb9\t\x00s'), chr(0b110 + 0o136) + chr(0b10101 + 0o120) + chr(9105 - 9006) + '\157' + chr(7392 - 7292) + '\145')('\x75' + '\164' + chr(0b101010 + 0o74) + '\055' + chr(0b100101 + 0o23)) % wmQmyeWBmUpv(FDgyextYBrUF))
xafqLlk3kkUe(Wi0M9q_Z1um3, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\x91\xf9\xa8 b'), chr(0b1010010 + 0o22) + '\145' + chr(99) + chr(111) + chr(851 - 751) + chr(6287 - 6186))(chr(0b1110101) + chr(116) + chr(0b1011001 + 0o15) + chr(1615 - 1570) + '\070'))(jyC49sQHbxj9)
if YlqusYB6InkM > ehT0Px3KOsy9(chr(0b110000) + chr(12188 - 12077) + '\060', 8):
if YlqusYB6InkM == c2A0yzQpDQB3(zrxeoQQ2pZhf) - ehT0Px3KOsy9(chr(48) + '\157' + chr(201 - 152), 8) and zrxeoQQ2pZhf[c2A0yzQpDQB3(zrxeoQQ2pZhf) - ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + chr(0b110010), 57917 - 57909)][xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\x80\xe4\xa8'), chr(100) + chr(2236 - 2135) + chr(0b101101 + 0o66) + '\157' + chr(100) + chr(101))('\165' + chr(116) + '\146' + chr(1557 - 1512) + chr(0b100001 + 0o27))] == vh6MtYSkkWWB:
phWilm_0Sv_9 = pVWhhfR9jGIe[YlqusYB6InkM - ehT0Px3KOsy9('\060' + chr(0b110110 + 0o71) + '\062', 8)]
else:
phWilm_0Sv_9 = pVWhhfR9jGIe[YlqusYB6InkM - ehT0Px3KOsy9(chr(48) + chr(0b101101 + 0o102) + chr(49), 8)]
xafqLlk3kkUe(pVWhhfR9jGIe, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\x91\xf9\xa8 b'), chr(3076 - 2976) + chr(0b1100101) + chr(0b1100011) + chr(0b0 + 0o157) + chr(9944 - 9844) + chr(4264 - 4163))(chr(0b111000 + 0o75) + chr(116) + '\146' + chr(0b11000 + 0o25) + chr(0b111000)))(phWilm_0Sv_9 + c2A0yzQpDQB3(ekolk5wRLA_R))
else:
xafqLlk3kkUe(pVWhhfR9jGIe, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\x91\xf9\xa8 b'), chr(0b1100100) + chr(101) + chr(0b101 + 0o136) + '\x6f' + chr(100) + chr(5605 - 5504))(chr(0b101100 + 0o111) + '\164' + '\x66' + '\x2d' + chr(0b1101 + 0o53)))(c2A0yzQpDQB3(ekolk5wRLA_R) - ehT0Px3KOsy9(chr(48) + chr(8454 - 8343) + chr(0b101000 + 0o11), 8))
else:
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\xd6\xc1\xb5;e\xda\xf6\xb4a\xc1\xed'), chr(0b1100 + 0o130) + chr(0b1011010 + 0o13) + chr(0b1100011) + chr(0b100110 + 0o111) + '\x64' + chr(0b1101 + 0o130))(chr(117) + chr(0b1100000 + 0o24) + chr(0b11111 + 0o107) + chr(0b11 + 0o52) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x91\xec\xbf/r\xd2\xb3\xfen\xf4\xe8\x007U\x94\xcc\xd2\x1c9$`\xb0\x07\x1b\xbf\x1d\xca\xd3\x1ee\xf6EA \xad\x06\xeb\xdb5\xa3\xc1\xfb\xa8:s\xcf\xaf\xfel\xbb\xea\x1f!S'), chr(8358 - 8258) + chr(0b111000 + 0o55) + '\143' + chr(0b1101 + 0o142) + chr(0b110011 + 0o61) + '\x65')('\x75' + chr(116) + '\x66' + '\x2d' + chr(56)))
H9yw8tZKkKME = D2UHT2N78p3Y.make_graph(RUei7ZNf32y6, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\x99\xe7\xa8:Y\xde\xae\xb0{\xfe\xf4\x027C\xbf\xc4\xcfX:='), chr(8745 - 8645) + chr(9081 - 8980) + chr(7894 - 7795) + chr(5568 - 5457) + chr(1097 - 997) + chr(3031 - 2930))('\x75' + chr(116) + chr(0b1010100 + 0o22) + '\x2d' + chr(1058 - 1002)), N5vLXcFzkwsL, gQolgWwa4RLZ)
xafqLlk3kkUe(H9yw8tZKkKME.initializer, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5\x99\xfd\xa8 b'), '\x64' + '\145' + chr(0b1100011) + chr(0b10001 + 0o136) + '\x64' + chr(0b1100100 + 0o1))(chr(0b1110101) + chr(116) + chr(0b1001100 + 0o32) + '\x2d' + chr(652 - 596)))(kwfuYzkY5C57)
xafqLlk3kkUe(cDTcU0_Ubk52, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\x89\xec\xae%Y\xda\xb3\xbf}\xf3'), '\144' + '\x65' + '\143' + chr(111) + chr(1117 - 1017) + chr(0b1100101))(chr(0b101111 + 0o106) + '\164' + chr(102) + chr(45) + '\x38'))(H9yw8tZKkKME)
return H9yw8tZKkKME
|
apache/incubator-mxnet
|
example/ssd/train/train_net.py
|
get_lr_scheduler
|
def get_lr_scheduler(learning_rate, lr_refactor_step, lr_refactor_ratio,
num_example, batch_size, begin_epoch):
"""
Compute learning rate and refactor scheduler
Parameters:
---------
learning_rate : float
original learning rate
lr_refactor_step : comma separated str
epochs to change learning rate
lr_refactor_ratio : float
lr *= ratio at certain steps
num_example : int
number of training images, used to estimate the iterations given epochs
batch_size : int
training batch size
begin_epoch : int
starting epoch
Returns:
---------
(learning_rate, mx.lr_scheduler) as tuple
"""
assert lr_refactor_ratio > 0
iter_refactor = [int(r) for r in lr_refactor_step.split(',') if r.strip()]
if lr_refactor_ratio >= 1:
return (learning_rate, None)
else:
lr = learning_rate
epoch_size = num_example // batch_size
for s in iter_refactor:
if begin_epoch >= s:
lr *= lr_refactor_ratio
if lr != learning_rate:
logging.getLogger().info("Adjusted learning rate to {} for epoch {}".format(lr, begin_epoch))
steps = [epoch_size * (x - begin_epoch) for x in iter_refactor if x > begin_epoch]
if not steps:
return (lr, None)
lr_scheduler = mx.lr_scheduler.MultiFactorScheduler(step=steps, factor=lr_refactor_ratio)
return (lr, lr_scheduler)
|
python
|
def get_lr_scheduler(learning_rate, lr_refactor_step, lr_refactor_ratio,
num_example, batch_size, begin_epoch):
"""
Compute learning rate and refactor scheduler
Parameters:
---------
learning_rate : float
original learning rate
lr_refactor_step : comma separated str
epochs to change learning rate
lr_refactor_ratio : float
lr *= ratio at certain steps
num_example : int
number of training images, used to estimate the iterations given epochs
batch_size : int
training batch size
begin_epoch : int
starting epoch
Returns:
---------
(learning_rate, mx.lr_scheduler) as tuple
"""
assert lr_refactor_ratio > 0
iter_refactor = [int(r) for r in lr_refactor_step.split(',') if r.strip()]
if lr_refactor_ratio >= 1:
return (learning_rate, None)
else:
lr = learning_rate
epoch_size = num_example // batch_size
for s in iter_refactor:
if begin_epoch >= s:
lr *= lr_refactor_ratio
if lr != learning_rate:
logging.getLogger().info("Adjusted learning rate to {} for epoch {}".format(lr, begin_epoch))
steps = [epoch_size * (x - begin_epoch) for x in iter_refactor if x > begin_epoch]
if not steps:
return (lr, None)
lr_scheduler = mx.lr_scheduler.MultiFactorScheduler(step=steps, factor=lr_refactor_ratio)
return (lr, lr_scheduler)
|
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] |
Compute learning rate and refactor scheduler
Parameters:
---------
learning_rate : float
original learning rate
lr_refactor_step : comma separated str
epochs to change learning rate
lr_refactor_ratio : float
lr *= ratio at certain steps
num_example : int
number of training images, used to estimate the iterations given epochs
batch_size : int
training batch size
begin_epoch : int
starting epoch
Returns:
---------
(learning_rate, mx.lr_scheduler) as tuple
|
[
"Compute",
"learning",
"rate",
"and",
"refactor",
"scheduler"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/train/train_net.py#L48-L88
|
train
|
Compute learning rate and refactor scheduler.
|
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(90 - 42) + '\157' + '\x33' + chr(1168 - 1113) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + '\061' + chr(0b110110) + chr(0b110111), 12301 - 12293), ehT0Px3KOsy9(chr(1861 - 1813) + chr(5614 - 5503) + chr(0b110010) + chr(0b110110) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2003 - 1892) + '\063' + chr(975 - 927) + chr(729 - 681), 48414 - 48406), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(2858 - 2803), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\x33' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(439 - 390) + chr(55) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + chr(1171 - 1121) + chr(0b10010 + 0o37) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + chr(2500 - 2389) + chr(0b110001) + chr(1973 - 1924) + chr(0b110101 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10001 + 0o40) + chr(52) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(672 - 624) + chr(0b1101111) + chr(1205 - 1156) + chr(53) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(1295 - 1246) + chr(0b110011) + chr(1245 - 1195), 55127 - 55119), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + '\x32' + '\063', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101000 + 0o13) + '\060' + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + chr(5030 - 4919) + '\063' + chr(0b11010 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(365 - 317) + chr(0b11010 + 0o125) + chr(0b1100 + 0o46) + chr(51) + '\x31', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + '\065' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(6354 - 6243) + chr(0b10100 + 0o36) + chr(403 - 348) + chr(0b100110 + 0o12), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(2249 - 2200) + chr(1811 - 1763) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(2580 - 2529) + chr(0b110110) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(715 - 667) + '\157' + chr(273 - 224) + chr(187 - 139) + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10111 + 0o32) + chr(1328 - 1279) + '\x37', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(50) + '\x34', 19775 - 19767), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000001 + 0o56) + chr(50) + chr(48) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100 + 0o55) + chr(52) + chr(649 - 599), 52883 - 52875), ehT0Px3KOsy9(chr(0b110000) + chr(1228 - 1117) + chr(0b11001 + 0o33) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + '\064' + chr(0b1100 + 0o44), 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + '\060', 31455 - 31447), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b110010) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(1022 - 911) + '\064' + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101 + 0o142) + '\x32' + chr(561 - 513) + '\x34', 48438 - 48430), ehT0Px3KOsy9('\060' + chr(11409 - 11298) + chr(264 - 213) + '\x32' + '\063', 8), ehT0Px3KOsy9(chr(1301 - 1253) + chr(0b1000111 + 0o50) + '\061' + chr(0b110001) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(9432 - 9321) + chr(2428 - 2377) + '\x33' + chr(55), 0b1000), ehT0Px3KOsy9(chr(748 - 700) + chr(0b10101 + 0o132) + '\061' + chr(53) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(0b101011 + 0o7) + '\060' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10000 + 0o42) + chr(0b110110) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(0b1111 + 0o44) + '\060' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001000 + 0o47) + chr(49) + '\062' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7567 - 7456) + chr(50) + chr(0b110110) + chr(0b110101), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2'), chr(0b1100100) + chr(0b0 + 0o145) + chr(99) + chr(0b1101111) + '\144' + '\x65')('\x75' + chr(7406 - 7290) + '\x66' + chr(0b101101) + chr(0b11010 + 0o36)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def xC_Q65ATO2tP(QGSIpd_yUNzU, V9DhIDc2EMwr, VoPxmVX4JEuK, iNQlk5FKFANe, ix9dZyeAmUxY, Oni7KqlYdGJc):
assert VoPxmVX4JEuK > ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1338 - 1290), 8)
ZxdFZSYxmbzU = [ehT0Px3KOsy9(JWG5qApaeJkp) for JWG5qApaeJkp in V9DhIDc2EMwr.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0'), '\x64' + chr(8669 - 8568) + '\x63' + '\x6f' + chr(100) + '\145')(chr(117) + '\164' + chr(0b1100110) + '\055' + chr(0b111000))) if JWG5qApaeJkp.VmIJF6Fy6LrX()]
if VoPxmVX4JEuK >= ehT0Px3KOsy9(chr(0b110000) + chr(2057 - 1946) + chr(315 - 266), ord("\x08")):
return (QGSIpd_yUNzU, None)
else:
Zzs55KO_HKfp = QGSIpd_yUNzU
HvqNT9KgojM6 = iNQlk5FKFANe // ix9dZyeAmUxY
for vGrByMSYMp9h in ZxdFZSYxmbzU:
if Oni7KqlYdGJc >= vGrByMSYMp9h:
Zzs55KO_HKfp *= VoPxmVX4JEuK
if Zzs55KO_HKfp != QGSIpd_yUNzU:
xafqLlk3kkUe(UeotCCWOPSQS.getLogger(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf@\xfb\xb8z\xfa\x1b\xb9$\x0f31'), '\144' + chr(0b1100101) + '\x63' + '\157' + '\x64' + chr(0b1010 + 0o133))('\165' + '\164' + chr(0b111001 + 0o55) + chr(45) + chr(56)))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\x13\xd9\xb5|\xed\x19\xean\x0f\x0c;\xa1\xabw\xf7\r\x980\x906*t\xf3\r\x00\xdb}\xb5D\xeb\xa1h\xba\x1e\xed\xd6\xafp\xce\x81'), chr(0b1001100 + 0o30) + chr(0b1011001 + 0o14) + '\143' + chr(12301 - 12190) + chr(100) + chr(101))(chr(117) + '\164' + chr(0b111011 + 0o53) + '\055' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaC\xc1\xafG\xf8/\xbd\x1e\x13\x0c0'), chr(0b1011 + 0o131) + chr(101) + chr(9688 - 9589) + '\x6f' + chr(388 - 288) + '\x65')(chr(13356 - 13239) + chr(0b1110100) + chr(0b101101 + 0o71) + chr(0b101101) + chr(0b11011 + 0o35)))(Zzs55KO_HKfp, Oni7KqlYdGJc))
v0VhEmlMsO_l = [HvqNT9KgojM6 * (OeWW0F1dBPRQ - Oni7KqlYdGJc) for OeWW0F1dBPRQ in ZxdFZSYxmbzU if OeWW0F1dBPRQ > Oni7KqlYdGJc]
if not v0VhEmlMsO_l:
return (Zzs55KO_HKfp, None)
sEnxNQ9I7JN9 = CIVheOt0RKQX.lr_scheduler.MultiFactorScheduler(step=v0VhEmlMsO_l, factor=VoPxmVX4JEuK)
return (Zzs55KO_HKfp, sEnxNQ9I7JN9)
|
apache/incubator-mxnet
|
example/ssd/train/train_net.py
|
train_net
|
def train_net(net, train_path, num_classes, batch_size,
data_shape, mean_pixels, resume, finetune, pretrained, epoch,
prefix, ctx, begin_epoch, end_epoch, frequent, learning_rate,
momentum, weight_decay, lr_refactor_step, lr_refactor_ratio,
freeze_layer_pattern='',
num_example=10000, label_pad_width=350,
nms_thresh=0.45, force_nms=False, ovp_thresh=0.5,
use_difficult=False, class_names=None,
voc07_metric=False, nms_topk=400, force_suppress=False,
train_list="", val_path="", val_list="", iter_monitor=0,
monitor_pattern=".*", log_file=None, kv_store=None):
"""
Wrapper for training phase.
Parameters:
----------
net : str
symbol name for the network structure
train_path : str
record file path for training
num_classes : int
number of object classes, not including background
batch_size : int
training batch-size
data_shape : int or tuple
width/height as integer or (3, height, width) tuple
mean_pixels : tuple of floats
mean pixel values for red, green and blue
resume : int
resume from previous checkpoint if > 0
finetune : int
fine-tune from previous checkpoint if > 0
pretrained : str
prefix of pretrained model, including path
epoch : int
load epoch of either resume/finetune/pretrained model
prefix : str
prefix for saving checkpoints
ctx : [mx.cpu()] or [mx.gpu(x)]
list of mxnet contexts
begin_epoch : int
starting epoch for training, should be 0 if not otherwise specified
end_epoch : int
end epoch of training
frequent : int
frequency to print out training status
learning_rate : float
training learning rate
momentum : float
trainig momentum
weight_decay : float
training weight decay param
lr_refactor_ratio : float
multiplier for reducing learning rate
lr_refactor_step : comma separated integers
at which epoch to rescale learning rate, e.g. '30, 60, 90'
freeze_layer_pattern : str
regex pattern for layers need to be fixed
num_example : int
number of training images
label_pad_width : int
force padding training and validation labels to sync their label widths
nms_thresh : float
non-maximum suppression threshold for validation
force_nms : boolean
suppress overlaped objects from different classes
train_list : str
list file path for training, this will replace the embeded labels in record
val_path : str
record file path for validation
val_list : str
list file path for validation, this will replace the embeded labels in record
iter_monitor : int
monitor internal stats in networks if > 0, specified by monitor_pattern
monitor_pattern : str
regex pattern for monitoring network stats
log_file : str
log to file if enabled
"""
# set up logger
logging.basicConfig()
logger = logging.getLogger()
logger.setLevel(logging.INFO)
if log_file:
fh = logging.FileHandler(log_file)
logger.addHandler(fh)
# check args
if isinstance(data_shape, int):
data_shape = (3, data_shape, data_shape)
assert len(data_shape) == 3 and data_shape[0] == 3
prefix += '_' + net + '_' + str(data_shape[1])
if isinstance(mean_pixels, (int, float)):
mean_pixels = [mean_pixels, mean_pixels, mean_pixels]
assert len(mean_pixels) == 3, "must provide all RGB mean values"
train_iter = DetRecordIter(train_path, batch_size, data_shape, mean_pixels=mean_pixels,
label_pad_width=label_pad_width, path_imglist=train_list, **cfg.train)
if val_path:
val_iter = DetRecordIter(val_path, batch_size, data_shape, mean_pixels=mean_pixels,
label_pad_width=label_pad_width, path_imglist=val_list, **cfg.valid)
else:
val_iter = None
# load symbol
net = get_symbol_train(net, data_shape[1], num_classes=num_classes,
nms_thresh=nms_thresh, force_suppress=force_suppress, nms_topk=nms_topk)
# define layers with fixed weight/bias
if freeze_layer_pattern.strip():
re_prog = re.compile(freeze_layer_pattern)
fixed_param_names = [name for name in net.list_arguments() if re_prog.match(name)]
else:
fixed_param_names = None
# load pretrained or resume from previous state
ctx_str = '('+ ','.join([str(c) for c in ctx]) + ')'
if resume > 0:
logger.info("Resume training with {} from epoch {}"
.format(ctx_str, resume))
_, args, auxs = mx.model.load_checkpoint(prefix, resume)
begin_epoch = resume
elif finetune > 0:
logger.info("Start finetuning with {} from epoch {}"
.format(ctx_str, finetune))
_, args, auxs = mx.model.load_checkpoint(prefix, finetune)
begin_epoch = finetune
# the prediction convolution layers name starts with relu, so it's fine
fixed_param_names = [name for name in net.list_arguments() \
if name.startswith('conv')]
elif pretrained:
logger.info("Start training with {} from pretrained model {}"
.format(ctx_str, pretrained))
_, args, auxs = mx.model.load_checkpoint(pretrained, epoch)
args = convert_pretrained(pretrained, args)
else:
logger.info("Experimental: start training from scratch with {}"
.format(ctx_str))
args = None
auxs = None
fixed_param_names = None
# helper information
if fixed_param_names:
logger.info("Freezed parameters: [" + ','.join(fixed_param_names) + ']')
# init training module
mod = mx.mod.Module(net, label_names=('label',), logger=logger, context=ctx,
fixed_param_names=fixed_param_names)
# fit parameters
batch_end_callback = mx.callback.Speedometer(train_iter.batch_size, frequent=frequent)
epoch_end_callback = mx.callback.do_checkpoint(prefix)
learning_rate, lr_scheduler = get_lr_scheduler(learning_rate, lr_refactor_step,
lr_refactor_ratio, num_example, batch_size, begin_epoch)
optimizer_params={'learning_rate':learning_rate,
'momentum':momentum,
'wd':weight_decay,
'lr_scheduler':lr_scheduler,
'clip_gradient':None,
'rescale_grad': 1.0 / len(ctx) if len(ctx) > 0 else 1.0 }
monitor = mx.mon.Monitor(iter_monitor, pattern=monitor_pattern) if iter_monitor > 0 else None
# run fit net, every n epochs we run evaluation network to get mAP
if voc07_metric:
valid_metric = VOC07MApMetric(ovp_thresh, use_difficult, class_names, pred_idx=3)
else:
valid_metric = MApMetric(ovp_thresh, use_difficult, class_names, pred_idx=3)
# create kvstore when there are gpus
kv = mx.kvstore.create(kv_store) if kv_store else None
mod.fit(train_iter,
val_iter,
eval_metric=MultiBoxMetric(),
validation_metric=valid_metric,
batch_end_callback=batch_end_callback,
epoch_end_callback=epoch_end_callback,
optimizer='sgd',
optimizer_params=optimizer_params,
begin_epoch=begin_epoch,
num_epoch=end_epoch,
initializer=mx.init.Xavier(),
arg_params=args,
aux_params=auxs,
allow_missing=True,
monitor=monitor,
kvstore=kv)
|
python
|
def train_net(net, train_path, num_classes, batch_size,
data_shape, mean_pixels, resume, finetune, pretrained, epoch,
prefix, ctx, begin_epoch, end_epoch, frequent, learning_rate,
momentum, weight_decay, lr_refactor_step, lr_refactor_ratio,
freeze_layer_pattern='',
num_example=10000, label_pad_width=350,
nms_thresh=0.45, force_nms=False, ovp_thresh=0.5,
use_difficult=False, class_names=None,
voc07_metric=False, nms_topk=400, force_suppress=False,
train_list="", val_path="", val_list="", iter_monitor=0,
monitor_pattern=".*", log_file=None, kv_store=None):
"""
Wrapper for training phase.
Parameters:
----------
net : str
symbol name for the network structure
train_path : str
record file path for training
num_classes : int
number of object classes, not including background
batch_size : int
training batch-size
data_shape : int or tuple
width/height as integer or (3, height, width) tuple
mean_pixels : tuple of floats
mean pixel values for red, green and blue
resume : int
resume from previous checkpoint if > 0
finetune : int
fine-tune from previous checkpoint if > 0
pretrained : str
prefix of pretrained model, including path
epoch : int
load epoch of either resume/finetune/pretrained model
prefix : str
prefix for saving checkpoints
ctx : [mx.cpu()] or [mx.gpu(x)]
list of mxnet contexts
begin_epoch : int
starting epoch for training, should be 0 if not otherwise specified
end_epoch : int
end epoch of training
frequent : int
frequency to print out training status
learning_rate : float
training learning rate
momentum : float
trainig momentum
weight_decay : float
training weight decay param
lr_refactor_ratio : float
multiplier for reducing learning rate
lr_refactor_step : comma separated integers
at which epoch to rescale learning rate, e.g. '30, 60, 90'
freeze_layer_pattern : str
regex pattern for layers need to be fixed
num_example : int
number of training images
label_pad_width : int
force padding training and validation labels to sync their label widths
nms_thresh : float
non-maximum suppression threshold for validation
force_nms : boolean
suppress overlaped objects from different classes
train_list : str
list file path for training, this will replace the embeded labels in record
val_path : str
record file path for validation
val_list : str
list file path for validation, this will replace the embeded labels in record
iter_monitor : int
monitor internal stats in networks if > 0, specified by monitor_pattern
monitor_pattern : str
regex pattern for monitoring network stats
log_file : str
log to file if enabled
"""
# set up logger
logging.basicConfig()
logger = logging.getLogger()
logger.setLevel(logging.INFO)
if log_file:
fh = logging.FileHandler(log_file)
logger.addHandler(fh)
# check args
if isinstance(data_shape, int):
data_shape = (3, data_shape, data_shape)
assert len(data_shape) == 3 and data_shape[0] == 3
prefix += '_' + net + '_' + str(data_shape[1])
if isinstance(mean_pixels, (int, float)):
mean_pixels = [mean_pixels, mean_pixels, mean_pixels]
assert len(mean_pixels) == 3, "must provide all RGB mean values"
train_iter = DetRecordIter(train_path, batch_size, data_shape, mean_pixels=mean_pixels,
label_pad_width=label_pad_width, path_imglist=train_list, **cfg.train)
if val_path:
val_iter = DetRecordIter(val_path, batch_size, data_shape, mean_pixels=mean_pixels,
label_pad_width=label_pad_width, path_imglist=val_list, **cfg.valid)
else:
val_iter = None
# load symbol
net = get_symbol_train(net, data_shape[1], num_classes=num_classes,
nms_thresh=nms_thresh, force_suppress=force_suppress, nms_topk=nms_topk)
# define layers with fixed weight/bias
if freeze_layer_pattern.strip():
re_prog = re.compile(freeze_layer_pattern)
fixed_param_names = [name for name in net.list_arguments() if re_prog.match(name)]
else:
fixed_param_names = None
# load pretrained or resume from previous state
ctx_str = '('+ ','.join([str(c) for c in ctx]) + ')'
if resume > 0:
logger.info("Resume training with {} from epoch {}"
.format(ctx_str, resume))
_, args, auxs = mx.model.load_checkpoint(prefix, resume)
begin_epoch = resume
elif finetune > 0:
logger.info("Start finetuning with {} from epoch {}"
.format(ctx_str, finetune))
_, args, auxs = mx.model.load_checkpoint(prefix, finetune)
begin_epoch = finetune
# the prediction convolution layers name starts with relu, so it's fine
fixed_param_names = [name for name in net.list_arguments() \
if name.startswith('conv')]
elif pretrained:
logger.info("Start training with {} from pretrained model {}"
.format(ctx_str, pretrained))
_, args, auxs = mx.model.load_checkpoint(pretrained, epoch)
args = convert_pretrained(pretrained, args)
else:
logger.info("Experimental: start training from scratch with {}"
.format(ctx_str))
args = None
auxs = None
fixed_param_names = None
# helper information
if fixed_param_names:
logger.info("Freezed parameters: [" + ','.join(fixed_param_names) + ']')
# init training module
mod = mx.mod.Module(net, label_names=('label',), logger=logger, context=ctx,
fixed_param_names=fixed_param_names)
# fit parameters
batch_end_callback = mx.callback.Speedometer(train_iter.batch_size, frequent=frequent)
epoch_end_callback = mx.callback.do_checkpoint(prefix)
learning_rate, lr_scheduler = get_lr_scheduler(learning_rate, lr_refactor_step,
lr_refactor_ratio, num_example, batch_size, begin_epoch)
optimizer_params={'learning_rate':learning_rate,
'momentum':momentum,
'wd':weight_decay,
'lr_scheduler':lr_scheduler,
'clip_gradient':None,
'rescale_grad': 1.0 / len(ctx) if len(ctx) > 0 else 1.0 }
monitor = mx.mon.Monitor(iter_monitor, pattern=monitor_pattern) if iter_monitor > 0 else None
# run fit net, every n epochs we run evaluation network to get mAP
if voc07_metric:
valid_metric = VOC07MApMetric(ovp_thresh, use_difficult, class_names, pred_idx=3)
else:
valid_metric = MApMetric(ovp_thresh, use_difficult, class_names, pred_idx=3)
# create kvstore when there are gpus
kv = mx.kvstore.create(kv_store) if kv_store else None
mod.fit(train_iter,
val_iter,
eval_metric=MultiBoxMetric(),
validation_metric=valid_metric,
batch_end_callback=batch_end_callback,
epoch_end_callback=epoch_end_callback,
optimizer='sgd',
optimizer_params=optimizer_params,
begin_epoch=begin_epoch,
num_epoch=end_epoch,
initializer=mx.init.Xavier(),
arg_params=args,
aux_params=auxs,
allow_missing=True,
monitor=monitor,
kvstore=kv)
|
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] |
Wrapper for training phase.
Parameters:
----------
net : str
symbol name for the network structure
train_path : str
record file path for training
num_classes : int
number of object classes, not including background
batch_size : int
training batch-size
data_shape : int or tuple
width/height as integer or (3, height, width) tuple
mean_pixels : tuple of floats
mean pixel values for red, green and blue
resume : int
resume from previous checkpoint if > 0
finetune : int
fine-tune from previous checkpoint if > 0
pretrained : str
prefix of pretrained model, including path
epoch : int
load epoch of either resume/finetune/pretrained model
prefix : str
prefix for saving checkpoints
ctx : [mx.cpu()] or [mx.gpu(x)]
list of mxnet contexts
begin_epoch : int
starting epoch for training, should be 0 if not otherwise specified
end_epoch : int
end epoch of training
frequent : int
frequency to print out training status
learning_rate : float
training learning rate
momentum : float
trainig momentum
weight_decay : float
training weight decay param
lr_refactor_ratio : float
multiplier for reducing learning rate
lr_refactor_step : comma separated integers
at which epoch to rescale learning rate, e.g. '30, 60, 90'
freeze_layer_pattern : str
regex pattern for layers need to be fixed
num_example : int
number of training images
label_pad_width : int
force padding training and validation labels to sync their label widths
nms_thresh : float
non-maximum suppression threshold for validation
force_nms : boolean
suppress overlaped objects from different classes
train_list : str
list file path for training, this will replace the embeded labels in record
val_path : str
record file path for validation
val_list : str
list file path for validation, this will replace the embeded labels in record
iter_monitor : int
monitor internal stats in networks if > 0, specified by monitor_pattern
monitor_pattern : str
regex pattern for monitoring network stats
log_file : str
log to file if enabled
|
[
"Wrapper",
"for",
"training",
"phase",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/train/train_net.py#L90-L279
|
train
|
Train a network structure using the training phase.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110 + 0o57) + chr(55), 16109 - 16101), ehT0Px3KOsy9(chr(48) + chr(0b1001 + 0o146) + '\x33' + chr(0b110010) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101101 + 0o5) + '\066' + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100001 + 0o21) + '\x35' + chr(2268 - 2215), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10101 + 0o132) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b110010 + 0o1) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8904 - 8793) + chr(54), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(895 - 846) + '\x33' + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101000 + 0o107) + chr(0b11101 + 0o25) + '\061' + chr(2212 - 2159), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11111 + 0o22) + chr(52) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(4040 - 3929) + chr(0b10111 + 0o32) + '\x36' + chr(55), 14653 - 14645), ehT0Px3KOsy9(chr(187 - 139) + chr(0b1101111) + chr(0b110011) + '\063' + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\x32' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(0b101111 + 0o3) + chr(934 - 882) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\062' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(49) + '\x33' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1848 - 1798) + chr(2180 - 2132) + chr(421 - 372), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b110111 + 0o70) + '\062' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1992 - 1942) + chr(0b110 + 0o61) + chr(441 - 387), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b101010 + 0o11) + chr(728 - 675), 36908 - 36900), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + '\x30' + '\061', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b110011) + chr(0b110011), 41626 - 41618), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + '\x32' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(0b110011) + chr(1362 - 1308) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b100011 + 0o24) + chr(0b1110 + 0o46), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001001 + 0o46) + '\x36' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1730 - 1680) + chr(53) + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\066' + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(1138 - 1089) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(1460 - 1412) + chr(4392 - 4281) + chr(950 - 901) + '\x34' + chr(0b10 + 0o63), ord("\x08")), ehT0Px3KOsy9(chr(1149 - 1101) + '\x6f' + '\062' + '\x33' + chr(54), 46677 - 46669), ehT0Px3KOsy9(chr(501 - 453) + '\x6f' + chr(0b1101 + 0o46) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(111) + '\x32' + '\066' + chr(0b1101 + 0o47), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(2181 - 2131) + '\x30', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(11960 - 11849) + chr(0b10011 + 0o42) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x01'), chr(100) + '\145' + chr(0b1001100 + 0o27) + chr(0b1101111) + chr(441 - 341) + '\145')(chr(117) + chr(0b110011 + 0o101) + chr(0b1100110) + chr(45) + chr(0b1000 + 0o60)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def F72pSVf5oSk_(DyzboKL9cczb, OpL6x3bPqSxp, i6loyAgxUM2t, ix9dZyeAmUxY, l48nAKgbtcOz, E1fRBWSsubBl, nZ_kXXKO_LOJ, f6Rht7O7Zd2F, _zRXz3YBqHFs, LWTVW06OsTjl, K1Ha0XjJTAE7, oM3jLo753XfX, Oni7KqlYdGJc, Bhk62hfbQH84, biLvwVmVdu8U, QGSIpd_yUNzU, Molg6BU43Z5y, eB4rJl6fUxw9, V9DhIDc2EMwr, VoPxmVX4JEuK, YD26Uf0aqeJk=xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(8656 - 8556) + '\x65' + '\x63' + chr(111) + chr(0b11100 + 0o110) + chr(534 - 433))('\165' + chr(116) + '\x66' + '\x2d' + chr(718 - 662)), iNQlk5FKFANe=ehT0Px3KOsy9(chr(2252 - 2204) + chr(1479 - 1368) + chr(0b11001 + 0o31) + '\063' + chr(52) + chr(0b1001 + 0o51) + chr(1535 - 1487), 0o10), x352znDj8X_4=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(53) + chr(0b110011) + chr(0b110110), ord("\x08")), B1zO81yiJH6n=0.45, sy0nbNZ9RB9W=ehT0Px3KOsy9('\x30' + chr(0b1000001 + 0o56) + '\060', 41411 - 41403), RT8O2uJbImJx=0.5, a7Ty_vhlCMVe=ehT0Px3KOsy9('\060' + chr(0b1100000 + 0o17) + chr(48), 8), d0pd0E6a4xQt=None, UiWE7_YTEk8K=ehT0Px3KOsy9('\x30' + '\x6f' + chr(1008 - 960), 8), ThWUW9vG0TzH=ehT0Px3KOsy9(chr(0b110000) + chr(0b11111 + 0o120) + chr(0b1 + 0o65) + chr(0b11000 + 0o32) + '\060', ord("\x08")), e_bjlViiPD4p=ehT0Px3KOsy9(chr(48) + chr(6344 - 6233) + '\x30', 8), _v5z38OAPhHp=xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b1100100) + '\145' + chr(99) + chr(1681 - 1570) + '\144' + '\x65')(chr(0b111101 + 0o70) + chr(11864 - 11748) + '\146' + chr(0b101101) + chr(1968 - 1912)), HdOmvQBsUEoF=xafqLlk3kkUe(SXOLrMavuUCe(b''), '\x64' + '\145' + chr(2798 - 2699) + '\x6f' + chr(0b1011011 + 0o11) + '\145')(chr(0b10001 + 0o144) + chr(0b1011000 + 0o34) + chr(0b11001 + 0o115) + chr(1901 - 1856) + chr(56)), xCHMTrYdMCfn=xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(7718 - 7618) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b11110 + 0o106) + chr(101))(chr(117) + chr(0b111010 + 0o72) + chr(9607 - 9505) + chr(0b100 + 0o51) + chr(0b110000 + 0o10)), bN_IZA0TFtCF=ehT0Px3KOsy9(chr(2004 - 1956) + chr(111) + chr(0b101001 + 0o7), 8), xezKR7zNMWM7=xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\xf8'), chr(0b110111 + 0o55) + chr(101) + chr(6795 - 6696) + chr(0b1011011 + 0o24) + '\144' + chr(788 - 687))('\x75' + '\x74' + '\146' + chr(45) + chr(56)), NoewrypK4fFD=None, b7OtSEwKtQUI=None):
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'M\xb3\xc6\xc4b@\xb1h`E>'), '\x64' + chr(101) + '\143' + chr(0b1101111) + '\144' + chr(101))('\x75' + '\x74' + chr(102) + '\x2d' + chr(56)))()
hdK8qOUhR6Or = UeotCCWOPSQS.getLogger()
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\\\xb7\xc1\xe1du\xbbj'), chr(0b100010 + 0o102) + '\x65' + chr(99) + '\x6f' + '\x64' + '\145')('\165' + chr(116) + chr(102) + chr(0b11000 + 0o25) + '\x38'))(xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'f\x9c\xf3\xe2'), chr(4172 - 4072) + chr(101) + chr(99) + chr(7665 - 7554) + chr(100) + chr(101))(chr(117) + chr(4190 - 4074) + '\x66' + '\055' + chr(0b111 + 0o61))))
if NoewrypK4fFD:
TEkb1Z6SMtEc = UeotCCWOPSQS.FileHandler(NoewrypK4fFD)
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'N\xb6\xd1\xe5`m\xbajc^'), chr(0b1100100) + chr(9748 - 9647) + chr(665 - 566) + chr(0b1101111) + '\144' + chr(0b101100 + 0o71))(chr(0b1001010 + 0o53) + chr(6015 - 5899) + '\x66' + '\x2d' + chr(2085 - 2029)))(TEkb1Z6SMtEc)
if PlSM16l2KDPD(l48nAKgbtcOz, ehT0Px3KOsy9):
l48nAKgbtcOz = (ehT0Px3KOsy9(chr(0b110000) + chr(0b101010 + 0o105) + chr(0b1010 + 0o51), 8), l48nAKgbtcOz, l48nAKgbtcOz)
assert c2A0yzQpDQB3(l48nAKgbtcOz) == ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011), 8) and l48nAKgbtcOz[ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + '\060', 8)] == ehT0Px3KOsy9('\060' + chr(111) + '\x33', 8)
K1Ha0XjJTAE7 += xafqLlk3kkUe(SXOLrMavuUCe(b'p'), chr(100) + '\x65' + chr(99) + chr(3003 - 2892) + '\144' + chr(0b1100101))('\165' + chr(0b1110100) + chr(6163 - 6061) + '\x2d' + '\070') + DyzboKL9cczb + xafqLlk3kkUe(SXOLrMavuUCe(b'p'), chr(0b1001110 + 0o26) + chr(0b1000000 + 0o45) + chr(7770 - 7671) + chr(0b100100 + 0o113) + chr(0b110010 + 0o62) + chr(0b111101 + 0o50))(chr(117) + chr(0b1110100) + chr(10253 - 10151) + chr(1941 - 1896) + chr(0b11111 + 0o31)) + M8_cKLkHVB2V(l48nAKgbtcOz[ehT0Px3KOsy9(chr(906 - 858) + chr(0b11101 + 0o122) + chr(49), 8)])
if PlSM16l2KDPD(E1fRBWSsubBl, (ehT0Px3KOsy9, kkSX4ccExqw4)):
E1fRBWSsubBl = [E1fRBWSsubBl, E1fRBWSsubBl, E1fRBWSsubBl]
assert c2A0yzQpDQB3(E1fRBWSsubBl) == ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1519 - 1468), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'B\xa7\xc6\xd9!s\xacipE=\xe83\x03\x1b\xb6s\xf1\xd0\x1e\xa1\x7fy{\xd0\xbd\xf7\xfa{\x84\x19C'), chr(5888 - 5788) + '\145' + chr(0b1100011) + chr(111) + chr(0b10101 + 0o117) + chr(101))(chr(117) + '\164' + '\146' + chr(1708 - 1663) + chr(0b101110 + 0o12))
ORSP_0AjRz85 = qoKJB_QeTnSa(OpL6x3bPqSxp, ix9dZyeAmUxY, l48nAKgbtcOz, mean_pixels=E1fRBWSsubBl, label_pad_width=x352znDj8X_4, path_imglist=_v5z38OAPhHp, **VUGOL5I886yF.e80gRioCjdat)
if HdOmvQBsUEoF:
cnvFNmmGlq_n = qoKJB_QeTnSa(HdOmvQBsUEoF, ix9dZyeAmUxY, l48nAKgbtcOz, mean_pixels=E1fRBWSsubBl, label_pad_width=x352znDj8X_4, path_imglist=xCHMTrYdMCfn, **VUGOL5I886yF.BZPR0lwTzWO8)
else:
cnvFNmmGlq_n = None
DyzboKL9cczb = Hih03lch9w7E(DyzboKL9cczb, l48nAKgbtcOz[ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(0b110001), 8)], num_classes=i6loyAgxUM2t, nms_thresh=B1zO81yiJH6n, force_suppress=e_bjlViiPD4p, nms_topk=ThWUW9vG0TzH)
if xafqLlk3kkUe(YD26Uf0aqeJk, xafqLlk3kkUe(SXOLrMavuUCe(b'y\xbf\xfc\xe7G5\x98\x7f0`+\xd5'), chr(0b1001110 + 0o26) + '\x65' + chr(0b111011 + 0o50) + chr(111) + chr(8336 - 8236) + chr(0b10001 + 0o124))(chr(2235 - 2118) + '\164' + chr(0b1100110) + chr(0b101101) + chr(1412 - 1356)))():
Bd7lTlHyjoyr = _7u55U49WwX2.compile(YD26Uf0aqeJk)
s1iST5zKXWOd = [AIvJRzLdDfgF for AIvJRzLdDfgF in DyzboKL9cczb.list_arguments() if Bd7lTlHyjoyr.match(AIvJRzLdDfgF)]
else:
s1iST5zKXWOd = None
KLvyL6TDF7M9 = xafqLlk3kkUe(SXOLrMavuUCe(b'\x07'), '\144' + chr(5639 - 5538) + chr(0b1100000 + 0o3) + chr(111) + chr(100) + '\x65')(chr(5885 - 5768) + '\164' + chr(0b1100110) + chr(1356 - 1311) + chr(1167 - 1111)) + xafqLlk3kkUe(SXOLrMavuUCe(b'\x03'), chr(100) + chr(0b1100101) + '\143' + '\x6f' + chr(0b101101 + 0o67) + '\145')(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(56))._oWXztVNnqHF([M8_cKLkHVB2V(qzn1Ctg9WgNh) for qzn1Ctg9WgNh in oM3jLo753XfX]) + xafqLlk3kkUe(SXOLrMavuUCe(b'\x06'), chr(2536 - 2436) + '\145' + chr(0b1100011) + '\x6f' + '\x64' + chr(101))(chr(0b1101111 + 0o6) + '\x74' + '\x66' + '\x2d' + chr(0b111000))
if nZ_kXXKO_LOJ > ehT0Px3KOsy9(chr(48) + chr(0b110100 + 0o73) + chr(1511 - 1463), 8):
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'|\xe5\xfd\xd5t`\xb91l@\x03\xe6'), chr(0b1010010 + 0o22) + '\145' + chr(0b100101 + 0o76) + '\157' + chr(1416 - 1316) + '\x65')(chr(0b1110101) + '\164' + chr(0b1100110) + chr(0b11000 + 0o25) + '\x38'))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'}\xb7\xc6\xd8lf\xfertM0\xe3z\x0c\x10\xfa$\xca\xe34\xa1ia:\xd8\xef\xee\xf67\x94\x0c_\xc8^\xec\x1e\xe3'), chr(100) + '\x65' + chr(0b10010 + 0o121) + '\157' + '\x64' + '\145')(chr(117) + chr(0b1110100) + chr(0b110 + 0o140) + '\055' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'y\xe6\xc7\xc2Ib\x8d5V\\<\xe7'), '\x64' + '\x65' + chr(0b1100011) + chr(6491 - 6380) + chr(0b1001110 + 0o26) + chr(101))('\165' + '\x74' + chr(0b111100 + 0o52) + '\x2d' + chr(0b111000)))(KLvyL6TDF7M9, nZ_kXXKO_LOJ))
(VNGQdHSFPrso, kJDRfRhcZHjS, oAHyZTrtIYb8) = CIVheOt0RKQX.model.load_checkpoint(K1Ha0XjJTAE7, nZ_kXXKO_LOJ)
Oni7KqlYdGJc = nZ_kXXKO_LOJ
elif f6Rht7O7Zd2F > ehT0Px3KOsy9(chr(1401 - 1353) + '\x6f' + chr(0b111 + 0o51), 8):
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'|\xe5\xfd\xd5t`\xb91l@\x03\xe6'), chr(100) + '\145' + '\x63' + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(0b1110101) + '\164' + '\x66' + chr(0b101101) + chr(139 - 83)))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'|\xa6\xd4\xdfu#\xb8ohI-\xf8}\x0b\x19\xbds\xd4\xfe(\xe92gg\x9e\xfb\xf3\xf4z\xd1\x19@\xc4U\xa4E\xe5b'), chr(0b1000010 + 0o42) + chr(101) + chr(5653 - 5554) + chr(0b1101111) + chr(100) + chr(8310 - 8209))(chr(0b10101 + 0o140) + '\164' + '\x66' + '\x2d' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'y\xe6\xc7\xc2Ib\x8d5V\\<\xe7'), chr(0b1100 + 0o130) + '\x65' + chr(1935 - 1836) + '\x6f' + '\x64' + '\x65')(chr(0b11 + 0o162) + chr(0b1110100) + chr(2733 - 2631) + chr(0b1100 + 0o41) + '\x38'))(KLvyL6TDF7M9, f6Rht7O7Zd2F))
(VNGQdHSFPrso, kJDRfRhcZHjS, oAHyZTrtIYb8) = CIVheOt0RKQX.model.load_checkpoint(K1Ha0XjJTAE7, f6Rht7O7Zd2F)
Oni7KqlYdGJc = f6Rht7O7Zd2F
s1iST5zKXWOd = [AIvJRzLdDfgF for AIvJRzLdDfgF in DyzboKL9cczb.list_arguments() if AIvJRzLdDfgF.startswith(xafqLlk3kkUe(SXOLrMavuUCe(b'L\xbd\xdb\xdb'), chr(100) + '\x65' + chr(99) + chr(0b1101000 + 0o7) + '\144' + chr(8036 - 7935))('\x75' + '\x74' + '\146' + chr(0b10011 + 0o32) + chr(56)))]
elif _zRXz3YBqHFs:
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'|\xe5\xfd\xd5t`\xb91l@\x03\xe6'), chr(0b1100100) + '\x65' + '\x63' + chr(111) + chr(0b11000 + 0o114) + chr(101))(chr(0b1110101) + chr(0b110111 + 0o75) + chr(0b1001000 + 0o36) + '\055' + chr(56)))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'|\xa6\xd4\xdfu#\xaatgE7\xe4}\x05W\xad:\xd7\xff|\xfao<|\xcc\xf2\xec\xbbg\x83\x19D\xd9W\xa5\x0b\xfb{\x94=@\xb6\xd0\xc1!x\xa3'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(0b110011 + 0o74) + '\144' + '\145')(chr(0b1110101) + '\x74' + '\146' + chr(169 - 124) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'y\xe6\xc7\xc2Ib\x8d5V\\<\xe7'), '\144' + chr(8461 - 8360) + chr(0b111010 + 0o51) + '\157' + chr(0b1100100) + chr(0b110100 + 0o61))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(0b101101) + '\x38'))(KLvyL6TDF7M9, _zRXz3YBqHFs))
(VNGQdHSFPrso, kJDRfRhcZHjS, oAHyZTrtIYb8) = CIVheOt0RKQX.model.load_checkpoint(_zRXz3YBqHFs, LWTVW06OsTjl)
kJDRfRhcZHjS = aYCqrrfluZ9L(_zRXz3YBqHFs, kJDRfRhcZHjS)
else:
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'|\xe5\xfd\xd5t`\xb91l@\x03\xe6'), '\144' + chr(101) + chr(0b100100 + 0o77) + chr(111) + '\x64' + '\x65')(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b10011 + 0o32) + chr(1663 - 1607)))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'j\xaa\xc5\xc8sj\xb3chX8\xe1)B\x04\xae2\xd1\xe3|\xf5`}s\xd0\xf4\xef\xfc7\x97\x0e_\xc6\x16\xbf\x06\xec~\xc03G\xf2\xc2\xc4uk\xfe}{'), '\144' + '\145' + chr(1526 - 1427) + chr(111) + '\x64' + '\x65')('\x75' + chr(116) + chr(3936 - 3834) + chr(0b100001 + 0o14) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'y\xe6\xc7\xc2Ib\x8d5V\\<\xe7'), chr(2013 - 1913) + '\145' + chr(99) + chr(0b110011 + 0o74) + chr(7147 - 7047) + chr(0b11001 + 0o114))('\x75' + chr(0b1101011 + 0o11) + '\146' + chr(484 - 439) + chr(0b101010 + 0o16)))(KLvyL6TDF7M9))
kJDRfRhcZHjS = None
oAHyZTrtIYb8 = None
s1iST5zKXWOd = None
if s1iST5zKXWOd:
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'|\xe5\xfd\xd5t`\xb91l@\x03\xe6'), chr(229 - 129) + '\x65' + '\x63' + chr(5086 - 4975) + chr(100) + chr(0b1100101))(chr(5745 - 5628) + '\x74' + '\146' + chr(410 - 365) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'i\xa0\xd0\xc8{f\xba&vM+\xec~\x07\x03\xbf!\xd0\xad|\xda'), chr(0b1011110 + 0o6) + chr(0b1100101) + chr(0b110011 + 0o60) + chr(0b1101111) + chr(100) + '\x65')(chr(1466 - 1349) + chr(1145 - 1029) + '\x66' + chr(1088 - 1043) + chr(0b101000 + 0o20)) + xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x03'), chr(0b1100100) + chr(0b1100101) + chr(5718 - 5619) + chr(0b1100111 + 0o10) + '\144' + chr(5220 - 5119))('\x75' + chr(12763 - 12647) + '\146' + chr(45) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'p\xbd\xe2\xf5{w\x88Hh]\x11\xcb'), '\x64' + '\145' + chr(99) + chr(464 - 353) + chr(720 - 620) + '\x65')('\165' + chr(116) + chr(0b1100110) + chr(45) + chr(56)))(s1iST5zKXWOd) + xafqLlk3kkUe(SXOLrMavuUCe(b'r'), chr(100) + '\x65' + chr(0b1100011) + chr(0b110100 + 0o73) + '\x64' + '\x65')(chr(2247 - 2130) + chr(0b1110100) + '\146' + chr(0b10001 + 0o34) + chr(0b111000)))
JHJR37KvkQhF = CIVheOt0RKQX.mod.Module(DyzboKL9cczb, label_names=(xafqLlk3kkUe(SXOLrMavuUCe(b'C\xb3\xd7\xc8m'), chr(0b10000 + 0o124) + chr(0b100011 + 0o102) + chr(0b1100010 + 0o1) + chr(0b1101111) + '\144' + chr(101))('\x75' + '\164' + chr(102) + '\x2d' + chr(549 - 493)),), logger=hdK8qOUhR6Or, context=oM3jLo753XfX, fixed_param_names=s1iST5zKXWOd)
W8VoATJOxM2T = CIVheOt0RKQX.callback.Speedometer(ORSP_0AjRz85.ix9dZyeAmUxY, frequent=biLvwVmVdu8U)
Ut1ApSy0hXT6 = CIVheOt0RKQX.callback.do_checkpoint(K1Ha0XjJTAE7)
(QGSIpd_yUNzU, sEnxNQ9I7JN9) = xC_Q65ATO2tP(QGSIpd_yUNzU, V9DhIDc2EMwr, VoPxmVX4JEuK, iNQlk5FKFANe, ix9dZyeAmUxY, Oni7KqlYdGJc)
Jc4PFUw40SRS = {xafqLlk3kkUe(SXOLrMavuUCe(b'C\xb7\xd4\xdfoj\xb0aY^8\xf9v'), '\x64' + '\145' + chr(4314 - 4215) + chr(0b1000001 + 0o56) + chr(0b1100100) + chr(0b11 + 0o142))(chr(0b110111 + 0o76) + '\164' + chr(5641 - 5539) + chr(0b1101 + 0o40) + '\x38'): QGSIpd_yUNzU, xafqLlk3kkUe(SXOLrMavuUCe(b'B\xbd\xd8\xc8ow\xabk'), chr(7563 - 7463) + chr(0b1011110 + 0o7) + chr(0b101011 + 0o70) + chr(0b1101111) + chr(5910 - 5810) + chr(1710 - 1609))(chr(0b10011 + 0o142) + chr(0b1010011 + 0o41) + chr(102) + '\x2d' + chr(2363 - 2307)): Molg6BU43Z5y, xafqLlk3kkUe(SXOLrMavuUCe(b'X\xb6'), '\144' + chr(101) + chr(6675 - 6576) + chr(0b1101111) + chr(2458 - 2358) + chr(9069 - 8968))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(0b101101) + '\x38'): eB4rJl6fUxw9, xafqLlk3kkUe(SXOLrMavuUCe(b'C\xa0\xea\xdebk\xbbbs@<\xff'), chr(0b10100 + 0o120) + chr(7294 - 7193) + chr(99) + '\x6f' + chr(811 - 711) + chr(0b1100101))(chr(1301 - 1184) + '\x74' + chr(102) + chr(45) + '\070'): sEnxNQ9I7JN9, xafqLlk3kkUe(SXOLrMavuUCe(b'L\xbe\xdc\xdd^d\xacgbE<\xe3g'), chr(0b1100100) + chr(0b111010 + 0o53) + chr(0b1100011) + chr(0b1101111) + chr(0b1010110 + 0o16) + '\x65')(chr(0b1110101) + '\164' + '\x66' + '\x2d' + chr(0b111000)): None, xafqLlk3kkUe(SXOLrMavuUCe(b']\xb7\xc6\xce`o\xbbYa^8\xe9'), chr(0b10101 + 0o117) + chr(101) + '\x63' + '\157' + '\x64' + chr(0b1100101))(chr(0b1011100 + 0o31) + '\x74' + chr(0b1100110) + '\055' + chr(0b111000)): 1.0 / c2A0yzQpDQB3(oM3jLo753XfX) if c2A0yzQpDQB3(oM3jLo753XfX) > ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + chr(0b100001 + 0o17), 8) else 1.0}
W41N9Yh6x71V = CIVheOt0RKQX.mon.Monitor(bN_IZA0TFtCF, pattern=xezKR7zNMWM7) if bN_IZA0TFtCF > ehT0Px3KOsy9(chr(2145 - 2097) + '\157' + chr(1146 - 1098), 8) else None
if UiWE7_YTEk8K:
BPWdx6sIAxz5 = seVD05n80fod(RT8O2uJbImJx, a7Ty_vhlCMVe, d0pd0E6a4xQt, pred_idx=ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011), 8))
else:
BPWdx6sIAxz5 = W2luTqxkT32i(RT8O2uJbImJx, a7Ty_vhlCMVe, d0pd0E6a4xQt, pred_idx=ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b10010 + 0o135) + chr(0b10010 + 0o41), 8))
oG9AO0uxBJ0V = CIVheOt0RKQX.kvstore.zXm8hKpI6bmL(b7OtSEwKtQUI) if b7OtSEwKtQUI else None
xafqLlk3kkUe(JHJR37KvkQhF, xafqLlk3kkUe(SXOLrMavuUCe(b'I\xbb\xc1'), chr(0b100011 + 0o101) + chr(101) + chr(99) + chr(0b1101111) + '\144' + '\145')(chr(0b110100 + 0o101) + chr(0b100011 + 0o121) + '\146' + chr(0b101101) + '\070'))(ORSP_0AjRz85, cnvFNmmGlq_n, eval_metric=WSA2tho1SVTF(), validation_metric=BPWdx6sIAxz5, batch_end_callback=W8VoATJOxM2T, epoch_end_callback=Ut1ApSy0hXT6, optimizer=xafqLlk3kkUe(SXOLrMavuUCe(b'\\\xb5\xd1'), chr(100) + '\145' + chr(0b1001000 + 0o33) + chr(0b111100 + 0o63) + '\x64' + chr(0b1100101))(chr(117) + chr(8685 - 8569) + chr(0b1100110) + '\x2d' + chr(0b111000)), optimizer_params=Jc4PFUw40SRS, begin_epoch=Oni7KqlYdGJc, num_epoch=Bhk62hfbQH84, initializer=xafqLlk3kkUe(CIVheOt0RKQX.init, xafqLlk3kkUe(SXOLrMavuUCe(b'w\xb3\xc3\xc4dq'), chr(3797 - 3697) + chr(0b1100101) + chr(6529 - 6430) + chr(611 - 500) + '\x64' + '\145')(chr(0b1110101) + '\164' + '\146' + '\055' + chr(0b1111 + 0o51)))(), arg_params=kJDRfRhcZHjS, aux_params=oAHyZTrtIYb8, allow_missing=ehT0Px3KOsy9(chr(472 - 424) + chr(0b110110 + 0o71) + chr(49), 8), monitor=W41N9Yh6x71V, kvstore=oG9AO0uxBJ0V)
|
slundberg/shap
|
shap/datasets.py
|
imagenet50
|
def imagenet50(display=False, resolution=224):
""" This is a set of 50 images representative of ImageNet images.
This dataset was collected by randomly finding a working ImageNet link and then pasting the
original ImageNet image into Google image search restricted to images licensed for reuse. A
similar image (now with rights to reuse) was downloaded as a rough replacment for the original
ImageNet image. The point is to have a random sample of ImageNet for use as a background
distribution for explaining models trained on ImageNet data.
Note that because the images are only rough replacements the labels might no longer be correct.
"""
prefix = github_data_url + "imagenet50_"
X = np.load(cache(prefix + "%sx%s.npy" % (resolution, resolution))).astype(np.float32)
y = np.loadtxt(cache(prefix + "labels.csv"))
return X, y
|
python
|
def imagenet50(display=False, resolution=224):
""" This is a set of 50 images representative of ImageNet images.
This dataset was collected by randomly finding a working ImageNet link and then pasting the
original ImageNet image into Google image search restricted to images licensed for reuse. A
similar image (now with rights to reuse) was downloaded as a rough replacment for the original
ImageNet image. The point is to have a random sample of ImageNet for use as a background
distribution for explaining models trained on ImageNet data.
Note that because the images are only rough replacements the labels might no longer be correct.
"""
prefix = github_data_url + "imagenet50_"
X = np.load(cache(prefix + "%sx%s.npy" % (resolution, resolution))).astype(np.float32)
y = np.loadtxt(cache(prefix + "labels.csv"))
return X, y
|
[
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"(",
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")",
")",
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",",
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] |
This is a set of 50 images representative of ImageNet images.
This dataset was collected by randomly finding a working ImageNet link and then pasting the
original ImageNet image into Google image search restricted to images licensed for reuse. A
similar image (now with rights to reuse) was downloaded as a rough replacment for the original
ImageNet image. The point is to have a random sample of ImageNet for use as a background
distribution for explaining models trained on ImageNet data.
Note that because the images are only rough replacements the labels might no longer be correct.
|
[
"This",
"is",
"a",
"set",
"of",
"50",
"images",
"representative",
"of",
"ImageNet",
"images",
"."
] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/datasets.py#L13-L28
|
train
|
This dataset is used to create a set of 50 images representative of ImageNet images.
|
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) + '\062' + chr(1900 - 1850) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(0b101011 + 0o104) + '\063' + chr(0b100101 + 0o15), 42884 - 42876), ehT0Px3KOsy9(chr(949 - 901) + '\157' + '\062' + chr(125 - 74) + chr(0b110110), 23769 - 23761), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b110011) + chr(366 - 314), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10100 + 0o133) + chr(0b110010) + '\x31' + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1993 - 1944) + chr(0b110001) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(5841 - 5730) + chr(0b100100 + 0o23) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b11001 + 0o30) + '\x35', 19401 - 19393), ehT0Px3KOsy9(chr(0b110000) + chr(8831 - 8720) + '\062' + chr(54) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(0b110101) + chr(0b100101 + 0o22), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(1241 - 1130) + chr(0b110001) + chr(0b110011) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\x33' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100101 + 0o12) + chr(0b101000 + 0o11) + chr(0b110010) + '\065', 27963 - 27955), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(50) + chr(0b100010 + 0o24), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b110111) + chr(1938 - 1883), 7056 - 7048), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(8394 - 8283) + '\x33' + chr(0b1 + 0o65) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(11706 - 11595) + chr(0b110010) + '\065' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b100 + 0o153) + '\067' + chr(2382 - 2333), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(50) + '\063', 0o10), ehT0Px3KOsy9(chr(2001 - 1953) + chr(111) + chr(2104 - 2055) + chr(0b111 + 0o51) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000011 + 0o54) + chr(0b110011) + chr(55), 32809 - 32801), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(6430 - 6319) + chr(50) + '\x32' + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(8764 - 8653) + '\x36' + chr(630 - 576), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11348 - 11237) + chr(0b110000 + 0o2) + chr(0b11000 + 0o33) + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\x30' + chr(0b11101 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(2523 - 2471) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1612 - 1561) + chr(2503 - 2451) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(1759 - 1711) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\064' + '\064', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(779 - 727) + chr(1148 - 1100), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001 + 0o0), 0o10), ehT0Px3KOsy9(chr(1605 - 1557) + chr(0b1010011 + 0o34) + chr(51) + chr(48) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110100) + chr(52), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110110), 28905 - 28897), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1001 + 0o51) + chr(355 - 301) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + chr(2630 - 2576), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(2480 - 2430) + '\062' + chr(0b110111), 46624 - 46616), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\x36' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101100 + 0o5) + '\064' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b101000 + 0o107) + chr(0b100010 + 0o25), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(8403 - 8292) + '\x35' + chr(0b11111 + 0o21), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe'), '\x64' + '\x65' + '\143' + chr(111) + '\144' + chr(0b100111 + 0o76))(chr(117) + chr(0b101 + 0o157) + chr(102) + chr(436 - 391) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def D0OEWFiNyn7l(RHkuqVmnahXJ=ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101011 + 0o5), ord("\x08")), vQq68JWr7shG=ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + '\x33' + chr(1300 - 1248) + chr(0b110000), 8)):
K1Ha0XjJTAE7 = eRlEeaAkJDcL + xafqLlk3kkUe(SXOLrMavuUCe(b"\xf9w\xff;\xec']\xf9\x81\x9f\x07"), chr(0b1010110 + 0o16) + '\145' + '\143' + chr(10163 - 10052) + chr(0b10011 + 0o121) + '\x65')(chr(117) + chr(0b1110100) + chr(102) + '\x2d' + chr(0b111000))
xEgrFJ0REugl = WqUC3KWvYVup.load(j1lPDdxcDbRB(K1Ha0XjJTAE7 + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5i\xe6y\xfagV\xfd\xcd'), chr(100) + chr(0b1100101) + chr(99) + '\157' + '\x64' + chr(0b111011 + 0o52))(chr(0b1110101) + chr(1847 - 1731) + '\x66' + chr(45) + chr(360 - 304)) % (vQq68JWr7shG, vQq68JWr7shG))).astype(WqUC3KWvYVup.float32)
SqiSOtYOqOJH = WqUC3KWvYVup.loadtxt(j1lPDdxcDbRB(K1Ha0XjJTAE7 + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc{\xfc9\xe5:\x16\xee\xc7\xd9'), '\144' + chr(0b1010011 + 0o22) + '\143' + chr(11460 - 11349) + chr(100) + '\145')('\x75' + '\164' + chr(102) + chr(0b11101 + 0o20) + chr(56))))
return (xEgrFJ0REugl, SqiSOtYOqOJH)
|
slundberg/shap
|
shap/datasets.py
|
boston
|
def boston(display=False):
""" Return the boston housing data in a nice package. """
d = sklearn.datasets.load_boston()
df = pd.DataFrame(data=d.data, columns=d.feature_names) # pylint: disable=E1101
return df, d.target
|
python
|
def boston(display=False):
""" Return the boston housing data in a nice package. """
d = sklearn.datasets.load_boston()
df = pd.DataFrame(data=d.data, columns=d.feature_names) # pylint: disable=E1101
return df, d.target
|
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"feature_names",
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"# pylint: disable=E1101",
"return",
"df",
",",
"d",
".",
"target"
] |
Return the boston housing data in a nice package.
|
[
"Return",
"the",
"boston",
"housing",
"data",
"in",
"a",
"nice",
"package",
"."
] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/datasets.py#L30-L35
|
train
|
Return the boston housing data in a nice package.
|
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(0b1011011 + 0o24) + '\062' + '\065' + chr(757 - 705), 56653 - 56645), ehT0Px3KOsy9('\060' + '\157' + chr(0b101110 + 0o5) + chr(0b1101 + 0o45) + chr(0b10111 + 0o37), 19441 - 19433), ehT0Px3KOsy9(chr(584 - 536) + chr(111) + '\063' + chr(1717 - 1668) + chr(0b110011), 11468 - 11460), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(0b110011) + chr(0b10101 + 0o35) + '\066', 8), ehT0Px3KOsy9('\060' + chr(8947 - 8836) + '\x33' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010110 + 0o31) + '\061' + chr(1299 - 1245) + '\x32', 3929 - 3921), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b100011 + 0o15) + chr(55), 46533 - 46525), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\x30' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8694 - 8583) + chr(0b110010) + '\x31' + chr(1168 - 1117), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(318 - 265) + chr(51), 0o10), ehT0Px3KOsy9(chr(1696 - 1648) + chr(111) + chr(49) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(49) + '\x33' + '\062', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(464 - 416) + '\157' + '\062' + '\x35' + '\x32', 0b1000), ehT0Px3KOsy9(chr(311 - 263) + chr(6752 - 6641) + chr(0b110001) + chr(0b100101 + 0o16) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(0b110101) + chr(54), 47260 - 47252), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(48) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6221 - 6110) + '\061' + chr(0b11111 + 0o23) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b110010) + chr(0b110010), 2592 - 2584), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(52) + chr(1910 - 1860), ord("\x08")), ehT0Px3KOsy9(chr(311 - 263) + chr(111) + chr(2489 - 2439) + '\x33' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + '\x33' + chr(0b1000 + 0o51) + chr(1701 - 1651), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2769 - 2658) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(1879 - 1828) + chr(1206 - 1154), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b110010) + '\066', 0o10), ehT0Px3KOsy9(chr(497 - 449) + chr(0b1101111) + chr(2172 - 2119) + chr(1444 - 1396), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + chr(1236 - 1186), 0b1000), ehT0Px3KOsy9('\x30' + chr(4412 - 4301) + chr(1841 - 1789) + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(1898 - 1850) + chr(0b10 + 0o155) + '\x32' + '\x35' + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + chr(0b110110) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(720 - 672) + chr(0b110011 + 0o74) + chr(2341 - 2291) + chr(0b110101 + 0o2) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101011 + 0o6) + '\062' + chr(1002 - 952), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10010 + 0o37) + '\066' + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010101 + 0o32) + chr(2475 - 2424) + '\x34' + chr(48), 0o10), ehT0Px3KOsy9(chr(656 - 608) + '\x6f' + '\067' + chr(1762 - 1712), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(339 - 290) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\x31', 8), ehT0Px3KOsy9(chr(48) + chr(0b110011 + 0o74) + chr(2039 - 1989) + '\x34', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(404 - 356) + chr(12051 - 11940) + chr(0b10 + 0o63) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x82'), chr(100) + '\145' + '\143' + '\x6f' + '\x64' + chr(4321 - 4220))('\x75' + chr(0b1110100) + chr(0b111100 + 0o52) + chr(744 - 699) + chr(0b1001 + 0o57)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def AaD1i2SaNotX(RHkuqVmnahXJ=ehT0Px3KOsy9('\060' + chr(0b1110 + 0o141) + chr(0b110000), 39452 - 39444)):
pd3lxn9vqWxp = U_a7OzgTlwvr.datasets.load_boston()
aVhM9WzaWXU5 = dubtF9GfzOdC.DataFrame(data=pd3lxn9vqWxp.ULnjp6D6efFH, columns=pd3lxn9vqWxp.pfS5O3iUpFhz)
return (aVhM9WzaWXU5, xafqLlk3kkUe(pd3lxn9vqWxp, xafqLlk3kkUe(SXOLrMavuUCe(b'\xeb\x84\xfa\xe3!2\x16\x15s\xf9\xafX'), '\x64' + chr(0b110010 + 0o63) + '\143' + '\157' + chr(0b1100100) + chr(101))('\x75' + chr(0b1000011 + 0o61) + chr(1510 - 1408) + chr(45) + chr(56))))
|
slundberg/shap
|
shap/datasets.py
|
imdb
|
def imdb(display=False):
""" Return the clssic IMDB sentiment analysis training data in a nice package.
Full data is at: http://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz
Paper to cite when using the data is: http://www.aclweb.org/anthology/P11-1015
"""
with open(cache(github_data_url + "imdb_train.txt")) as f:
data = f.readlines()
y = np.ones(25000, dtype=np.bool)
y[:12500] = 0
return data, y
|
python
|
def imdb(display=False):
""" Return the clssic IMDB sentiment analysis training data in a nice package.
Full data is at: http://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz
Paper to cite when using the data is: http://www.aclweb.org/anthology/P11-1015
"""
with open(cache(github_data_url + "imdb_train.txt")) as f:
data = f.readlines()
y = np.ones(25000, dtype=np.bool)
y[:12500] = 0
return data, y
|
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"[",
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"return",
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",",
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] |
Return the clssic IMDB sentiment analysis training data in a nice package.
Full data is at: http://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz
Paper to cite when using the data is: http://www.aclweb.org/anthology/P11-1015
|
[
"Return",
"the",
"clssic",
"IMDB",
"sentiment",
"analysis",
"training",
"data",
"in",
"a",
"nice",
"package",
"."
] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/datasets.py#L37-L48
|
train
|
Return the clssic IMDB sentiment analysis training data in a nice package.
|
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(0b0 + 0o157) + chr(0b110000 + 0o2) + chr(0b11 + 0o62) + chr(0b100100 + 0o14), 0b1000), ehT0Px3KOsy9(chr(1201 - 1153) + '\157' + chr(0b110000 + 0o1) + chr(1422 - 1368), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + '\x34' + chr(0b101100 + 0o5), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1000100 + 0o53) + '\x32' + chr(48) + chr(48), 0o10), ehT0Px3KOsy9(chr(1593 - 1545) + chr(111) + chr(51) + chr(0b11001 + 0o30) + chr(0b11111 + 0o30), 2159 - 2151), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b110000) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(97 - 49) + chr(111) + '\061' + chr(53) + chr(704 - 655), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + '\066' + chr(0b110001 + 0o4), 28097 - 28089), ehT0Px3KOsy9(chr(60 - 12) + chr(0b1101111) + '\x31' + chr(548 - 496), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(0b11110 + 0o27) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(106 - 58) + '\157' + chr(0b110010) + chr(1142 - 1091) + chr(0b110101), 1955 - 1947), ehT0Px3KOsy9(chr(0b110000) + chr(0b100010 + 0o115) + '\061' + '\x30' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(1779 - 1730) + chr(0b110101) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(0b10110 + 0o131) + chr(51) + chr(48) + chr(0b10100 + 0o40), 2253 - 2245), ehT0Px3KOsy9('\x30' + chr(6619 - 6508) + '\062' + chr(49) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + '\x31' + '\x35' + '\x31', 8), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(0b110011) + chr(0b11010 + 0o30), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101110 + 0o1) + chr(898 - 847) + '\x35' + '\062', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b110010) + chr(0b100100 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1111 + 0o140) + chr(55), 49956 - 49948), ehT0Px3KOsy9(chr(0b110000) + chr(0b101000 + 0o107) + '\x32' + chr(0b110001) + chr(2468 - 2415), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(825 - 770) + chr(0b1010 + 0o46), 54573 - 54565), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1111 + 0o42) + chr(50) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b1010 + 0o50) + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(0b11100 + 0o123) + chr(0b110001) + '\x34' + chr(0b11111 + 0o25), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + '\x34' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2016 - 1967) + '\x33' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(10907 - 10796) + chr(51) + chr(0b110001) + chr(48), 56725 - 56717), ehT0Px3KOsy9(chr(734 - 686) + '\x6f' + chr(1845 - 1796) + chr(55) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(2250 - 2202) + chr(111) + chr(0b110001) + chr(54) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\063', 0b1000), ehT0Px3KOsy9(chr(882 - 834) + '\x6f' + chr(50) + '\062' + '\065', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100010 + 0o17) + chr(1978 - 1927) + '\x35', 17052 - 17044), ehT0Px3KOsy9(chr(1741 - 1693) + chr(111) + chr(0b110010) + '\x37' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(0b101100 + 0o7) + chr(1891 - 1841) + chr(0b101111 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + '\x32' + '\x36' + chr(1114 - 1066), 0o10), ehT0Px3KOsy9(chr(382 - 334) + chr(3440 - 3329) + chr(0b110001) + '\064' + chr(0b10001 + 0o42), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11923 - 11812) + '\065' + chr(0b1 + 0o60), 38672 - 38664), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100001 + 0o22) + '\x32', 8), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + '\x31' + chr(0b110 + 0o56) + chr(0b110100), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110101) + '\x30', 47036 - 47028)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x86'), chr(1309 - 1209) + '\x65' + '\x63' + chr(0b111110 + 0o61) + chr(100) + chr(101))('\x75' + chr(116) + chr(102) + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def AcFUd0CN9QDB(RHkuqVmnahXJ=ehT0Px3KOsy9(chr(268 - 220) + chr(8178 - 8067) + chr(0b110000), 43342 - 43334)):
with _fwkIVCGgtAN(j1lPDdxcDbRB(eRlEeaAkJDcL + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1cE\xe2\x903\x1b\x14e\x86\xb32\x16\xb0'), chr(0b110 + 0o136) + chr(0b1001110 + 0o27) + chr(0b1100011) + '\157' + '\x64' + '\x65')(chr(0b100100 + 0o121) + '\x74' + chr(0b101010 + 0o74) + chr(1203 - 1158) + '\070'))) as EGyt1xfPT1P6:
ULnjp6D6efFH = EGyt1xfPT1P6.readlines()
SqiSOtYOqOJH = WqUC3KWvYVup.ones(ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(2029 - 1975) + chr(274 - 226) + chr(0b110110) + chr(0b110101) + chr(74 - 26), 0o10), dtype=WqUC3KWvYVup.bool)
SqiSOtYOqOJH[:ehT0Px3KOsy9(chr(48) + '\157' + chr(1590 - 1539) + '\x30' + '\x33' + chr(0b110010) + chr(52), 15877 - 15869)] = ehT0Px3KOsy9('\060' + chr(11042 - 10931) + chr(0b110000), 8)
return (ULnjp6D6efFH, SqiSOtYOqOJH)
|
slundberg/shap
|
shap/datasets.py
|
communitiesandcrime
|
def communitiesandcrime(display=False):
""" Predict total number of non-violent crimes per 100K popuation.
This dataset is from the classic UCI Machine Learning repository:
https://archive.ics.uci.edu/ml/datasets/Communities+and+Crime+Unnormalized
"""
raw_data = pd.read_csv(
cache(github_data_url + "CommViolPredUnnormalizedData.txt"),
na_values="?"
)
# find the indices where the total violent crimes are known
valid_inds = np.where(np.invert(np.isnan(raw_data.iloc[:,-2])))[0]
y = np.array(raw_data.iloc[valid_inds,-2], dtype=np.float)
# extract the predictive features and remove columns with missing values
X = raw_data.iloc[valid_inds,5:-18]
valid_cols = np.where(np.isnan(X.values).sum(0) == 0)[0]
X = X.iloc[:,valid_cols]
return X, y
|
python
|
def communitiesandcrime(display=False):
""" Predict total number of non-violent crimes per 100K popuation.
This dataset is from the classic UCI Machine Learning repository:
https://archive.ics.uci.edu/ml/datasets/Communities+and+Crime+Unnormalized
"""
raw_data = pd.read_csv(
cache(github_data_url + "CommViolPredUnnormalizedData.txt"),
na_values="?"
)
# find the indices where the total violent crimes are known
valid_inds = np.where(np.invert(np.isnan(raw_data.iloc[:,-2])))[0]
y = np.array(raw_data.iloc[valid_inds,-2], dtype=np.float)
# extract the predictive features and remove columns with missing values
X = raw_data.iloc[valid_inds,5:-18]
valid_cols = np.where(np.isnan(X.values).sum(0) == 0)[0]
X = X.iloc[:,valid_cols]
return X, y
|
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] |
Predict total number of non-violent crimes per 100K popuation.
This dataset is from the classic UCI Machine Learning repository:
https://archive.ics.uci.edu/ml/datasets/Communities+and+Crime+Unnormalized
|
[
"Predict",
"total",
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"of",
"non",
"-",
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"."
] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/datasets.py#L50-L71
|
train
|
Predict total number of non - violent crimes per 100K popuation.
|
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(0b110001) + chr(0b110111) + chr(1422 - 1371), 35385 - 35377), ehT0Px3KOsy9(chr(663 - 615) + chr(0b1101111) + chr(0b11011 + 0o27) + '\x32' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(1596 - 1548) + chr(111) + '\061' + chr(0b110010) + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(686 - 635) + chr(49) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10001 + 0o44) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\064' + '\x33', 56697 - 56689), ehT0Px3KOsy9(chr(684 - 636) + chr(9741 - 9630) + chr(0b110011) + chr(928 - 879) + chr(1302 - 1251), 8), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + chr(0b110001) + chr(1754 - 1705) + chr(2156 - 2102), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(52) + chr(2196 - 2145), 0o10), ehT0Px3KOsy9('\x30' + chr(5228 - 5117) + '\x33' + '\063' + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(53) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(50) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111000 + 0o67) + '\063' + chr(0b110111) + chr(0b100011 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11199 - 11088) + chr(0b110011) + chr(1089 - 1040), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1 + 0o61) + chr(0b110000) + chr(0b100 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(0b110001) + chr(55) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(497 - 449) + chr(111) + chr(50) + chr(0b110001) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(48) + chr(52), 11364 - 11356), ehT0Px3KOsy9(chr(1455 - 1407) + chr(0b1101111) + '\063' + '\x30' + chr(0b11001 + 0o27), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1000000 + 0o57) + '\061' + chr(0b110101) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(2369 - 2318) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(1235 - 1187) + chr(8026 - 7915) + '\065' + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(645 - 534) + '\062' + chr(2054 - 2005) + chr(50), 59489 - 59481), ehT0Px3KOsy9(chr(1147 - 1099) + '\x6f' + chr(49) + chr(2380 - 2329) + chr(2004 - 1951), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100000 + 0o17) + chr(1823 - 1772) + chr(0b110001) + chr(0b0 + 0o62), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\064' + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1010010 + 0o35) + '\x32' + '\066' + chr(51), 50816 - 50808), ehT0Px3KOsy9('\x30' + chr(0b1000 + 0o147) + chr(0b100100 + 0o22) + chr(0b10110 + 0o41), 40837 - 40829), ehT0Px3KOsy9('\060' + chr(0b110001 + 0o76) + '\x31' + chr(48) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(263 - 209) + chr(1893 - 1841), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + '\x32' + chr(1918 - 1865) + chr(1543 - 1489), 34117 - 34109), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1243 - 1194) + chr(0b11010 + 0o34) + chr(0b110110), 16058 - 16050), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(0b0 + 0o63) + chr(55), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(1506 - 1455) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + '\061' + chr(0b100011 + 0o22) + chr(51), 63222 - 63214), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(1979 - 1926) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(1369 - 1321) + chr(6773 - 6662) + '\062' + chr(626 - 577) + chr(51), 39336 - 39328), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(864 - 816) + chr(0b1101111) + chr(0b11010 + 0o27) + chr(2473 - 2421), 63915 - 63907)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b111 + 0o150) + chr(0b110101) + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'U'), chr(5100 - 5000) + chr(101) + '\143' + chr(11099 - 10988) + chr(9565 - 9465) + '\145')('\x75' + chr(116) + '\146' + chr(437 - 392) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Jf_4RrKEtaPa(RHkuqVmnahXJ=ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(48), ord("\x08"))):
LjisoG1znXxU = dubtF9GfzOdC.read_csv(j1lPDdxcDbRB(eRlEeaAkJDcL + xafqLlk3kkUe(SXOLrMavuUCe(b'8\xff;l\x9dD\xcc\xa7\x1eQ\xbc\x8c\x82\x95w\xef\r\xe3\xe5\xac\x07%L\xee\x19\xabR\xd2\x191\x0c\xda'), chr(0b111 + 0o135) + '\145' + chr(0b1100011) + chr(0b101101 + 0o102) + chr(0b111110 + 0o46) + chr(0b1100101))(chr(0b1011111 + 0o26) + chr(0b1110100) + chr(917 - 815) + chr(0b1011 + 0o42) + chr(0b100010 + 0o26))), na_values=xafqLlk3kkUe(SXOLrMavuUCe(b'D'), '\x64' + chr(0b1100101) + chr(8408 - 8309) + chr(0b1101111) + '\144' + chr(8821 - 8720))(chr(117) + chr(116) + chr(9439 - 9337) + chr(0b11010 + 0o23) + '\070'))
bNd_UqRtp6qr = WqUC3KWvYVup.dRFAC59yQBm_(WqUC3KWvYVup.invert(WqUC3KWvYVup.isnan(LjisoG1znXxU.j91vOdIHACRC[:, -ehT0Px3KOsy9(chr(48) + chr(111) + chr(50), ord("\x08"))])))[ehT0Px3KOsy9(chr(0b110000) + chr(0b1011010 + 0o25) + chr(48), 8)]
SqiSOtYOqOJH = WqUC3KWvYVup.B0ePDhpqxN5n(LjisoG1znXxU.j91vOdIHACRC[bNd_UqRtp6qr, -ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50), 8)], dtype=WqUC3KWvYVup.float)
xEgrFJ0REugl = LjisoG1znXxU.j91vOdIHACRC[bNd_UqRtp6qr, ehT0Px3KOsy9(chr(1427 - 1379) + '\x6f' + '\065', 10031 - 10023):-ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\062', 0o10)]
aROJs2WSHZkI = WqUC3KWvYVup.dRFAC59yQBm_(WqUC3KWvYVup.isnan(xEgrFJ0REugl.values).xkxBmo49x2An(ehT0Px3KOsy9('\060' + chr(0b1101111) + '\060', 8)) == ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(2003 - 1955), 8))[ehT0Px3KOsy9(chr(1714 - 1666) + chr(5455 - 5344) + chr(0b101 + 0o53), 8)]
xEgrFJ0REugl = xEgrFJ0REugl.j91vOdIHACRC[:, aROJs2WSHZkI]
return (xEgrFJ0REugl, SqiSOtYOqOJH)
|
slundberg/shap
|
shap/datasets.py
|
diabetes
|
def diabetes(display=False):
""" Return the diabetes data in a nice package. """
d = sklearn.datasets.load_diabetes()
df = pd.DataFrame(data=d.data, columns=d.feature_names) # pylint: disable=E1101
return df, d.target
|
python
|
def diabetes(display=False):
""" Return the diabetes data in a nice package. """
d = sklearn.datasets.load_diabetes()
df = pd.DataFrame(data=d.data, columns=d.feature_names) # pylint: disable=E1101
return df, d.target
|
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] |
Return the diabetes data in a nice package.
|
[
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] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/datasets.py#L73-L78
|
train
|
Return the diabetes data in a nice package.
|
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(0b110001) + '\066' + chr(0b0 + 0o64), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(50) + chr(0b110100), 51247 - 51239), ehT0Px3KOsy9(chr(1540 - 1492) + chr(0b1101111) + chr(1535 - 1485) + '\064' + chr(0b1100 + 0o51), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101100 + 0o6) + chr(517 - 467) + chr(0b110001), 11063 - 11055), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(0b101101 + 0o11) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + chr(50) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(1964 - 1916) + '\157' + '\063' + chr(0b110011) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(1294 - 1246) + chr(0b1101111) + '\062' + chr(51) + chr(1478 - 1427), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(55) + chr(0b110100), 32717 - 32709), ehT0Px3KOsy9(chr(921 - 873) + chr(111) + '\062' + chr(244 - 194) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(1551 - 1497) + '\061', 20469 - 20461), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(1150 - 1100) + chr(1403 - 1350) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(4816 - 4705) + '\x36' + chr(1735 - 1687), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1110 + 0o141) + chr(1467 - 1418) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(569 - 521) + chr(0b1101111) + '\x33' + '\x37' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b110 + 0o56) + '\x32', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\063' + '\063' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(52) + chr(2892 - 2838), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(0b110100) + '\063', 54919 - 54911), ehT0Px3KOsy9(chr(1680 - 1632) + chr(111) + chr(1117 - 1063) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(10727 - 10616) + chr(212 - 162) + '\061' + chr(1020 - 969), 0o10), ehT0Px3KOsy9('\060' + chr(5054 - 4943) + '\061' + chr(0b110111) + chr(55), 48305 - 48297), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b111 + 0o52) + chr(0b110000) + chr(0b110111), 58433 - 58425), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b101110 + 0o5) + chr(0b100110 + 0o17), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\x35' + chr(53), 11951 - 11943), ehT0Px3KOsy9(chr(1631 - 1583) + chr(0b1101111) + chr(51) + chr(2233 - 2182) + chr(0b101000 + 0o12), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2117 - 2066) + '\063' + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11100 + 0o123) + '\061' + chr(0b110001 + 0o3), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(52) + '\x33', 57971 - 57963), ehT0Px3KOsy9('\060' + chr(0b1000010 + 0o55) + chr(0b1011 + 0o47) + chr(0b11001 + 0o33) + chr(53), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(0b1 + 0o65) + chr(0b10 + 0o64), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5184 - 5073) + chr(0b101111 + 0o10) + chr(491 - 441), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\066', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(0b110101) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(263 - 213) + chr(0b1 + 0o61), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\060' + chr(55), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b0 + 0o62) + chr(511 - 463), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b11000 + 0o32), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x34' + chr(49), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + chr(2668 - 2615) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'Z'), chr(4500 - 4400) + chr(0b1100101) + chr(0b100111 + 0o74) + chr(0b1101111) + '\x64' + chr(2429 - 2328))(chr(0b100101 + 0o120) + chr(116) + chr(0b1100110) + '\055' + chr(1125 - 1069)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def HNjmYCIRTbw0(RHkuqVmnahXJ=ehT0Px3KOsy9('\060' + '\157' + chr(0b110000), ord("\x08"))):
pd3lxn9vqWxp = U_a7OzgTlwvr.datasets.load_diabetes()
aVhM9WzaWXU5 = dubtF9GfzOdC.DataFrame(data=pd3lxn9vqWxp.ULnjp6D6efFH, columns=pd3lxn9vqWxp.pfS5O3iUpFhz)
return (aVhM9WzaWXU5, xafqLlk3kkUe(pd3lxn9vqWxp, xafqLlk3kkUe(SXOLrMavuUCe(b'3\x86\x94\xa4\x8b#\xba\xc9\t\xe15\xfa'), chr(0b1100100) + chr(101) + chr(6529 - 6430) + '\157' + chr(0b1100100) + chr(0b1100101))('\165' + '\164' + '\146' + chr(0b101101) + '\x38')))
|
slundberg/shap
|
shap/datasets.py
|
iris
|
def iris(display=False):
""" Return the classic iris data in a nice package. """
d = sklearn.datasets.load_iris()
df = pd.DataFrame(data=d.data, columns=d.feature_names) # pylint: disable=E1101
if display:
return df, [d.target_names[v] for v in d.target] # pylint: disable=E1101
else:
return df, d.target
|
python
|
def iris(display=False):
""" Return the classic iris data in a nice package. """
d = sklearn.datasets.load_iris()
df = pd.DataFrame(data=d.data, columns=d.feature_names) # pylint: disable=E1101
if display:
return df, [d.target_names[v] for v in d.target] # pylint: disable=E1101
else:
return df, d.target
|
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"# pylint: disable=E1101",
"else",
":",
"return",
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",",
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"target"
] |
Return the classic iris data in a nice package.
|
[
"Return",
"the",
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"iris",
"data",
"in",
"a",
"nice",
"package",
"."
] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/datasets.py#L81-L89
|
train
|
Return the classic iris data in a nice package.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(0b0 + 0o65) + '\060', 0o10), ehT0Px3KOsy9(chr(2022 - 1974) + chr(0b1101111) + chr(0b101001 + 0o12) + chr(0b110100), 19875 - 19867), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(283 - 233) + chr(0b100011 + 0o17) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b110011 + 0o1), 8), ehT0Px3KOsy9('\x30' + chr(10630 - 10519) + chr(1005 - 952) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b110000) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111010 + 0o65) + chr(51) + chr(1302 - 1254) + chr(0b110011 + 0o0), 0o10), ehT0Px3KOsy9(chr(1487 - 1439) + chr(11784 - 11673) + chr(59 - 8) + '\x31' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(1697 - 1649) + '\157' + '\061' + chr(1739 - 1691), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + '\062' + chr(0b100100 + 0o22), 0b1000), ehT0Px3KOsy9(chr(327 - 279) + chr(0b1101111) + chr(429 - 380) + chr(0b110011) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011111 + 0o20) + '\x32' + '\x30' + chr(0b1110 + 0o46), 0b1000), ehT0Px3KOsy9(chr(48) + chr(5648 - 5537) + chr(51) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(0b10010 + 0o44) + '\061', 38571 - 38563), ehT0Px3KOsy9('\x30' + chr(4823 - 4712) + '\x31' + chr(0b101110 + 0o5) + chr(1624 - 1569), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001101 + 0o42) + chr(0b101010 + 0o11) + chr(49) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\x36' + chr(1680 - 1629), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7735 - 7624) + '\x32' + '\x32' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(826 - 776) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3013 - 2902) + chr(0b110000), 21610 - 21602), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2328 - 2277) + chr(54) + chr(50), 0b1000), ehT0Px3KOsy9(chr(635 - 587) + chr(0b1101111) + chr(746 - 695) + chr(0b100001 + 0o21) + chr(2322 - 2268), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(1768 - 1716) + chr(0b100 + 0o55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110101 + 0o72) + chr(51) + chr(49) + chr(0b0 + 0o60), 8), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(48) + chr(52), 0o10), ehT0Px3KOsy9(chr(802 - 754) + chr(111) + chr(51) + chr(0b110110) + chr(2583 - 2528), 62913 - 62905), ehT0Px3KOsy9(chr(2303 - 2255) + chr(0b1000000 + 0o57) + chr(1976 - 1927) + chr(0b101101 + 0o6), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(0b110111) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(756 - 706) + chr(55) + chr(0b1011 + 0o46), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101010 + 0o11) + chr(0b110110) + chr(0b10 + 0o64), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11956 - 11845) + '\x31' + chr(135 - 86), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(0b101 + 0o56) + chr(0b10100 + 0o36), 8), ehT0Px3KOsy9('\x30' + chr(7982 - 7871) + chr(0b1101 + 0o44) + chr(0b110101) + chr(2344 - 2292), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + chr(49) + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100101 + 0o15) + '\x36' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(3439 - 3328) + chr(1173 - 1122) + chr(0b101000 + 0o14) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11513 - 11402) + '\x32' + chr(615 - 563) + chr(266 - 216), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(0b110000) + '\x31', 0b1000), ehT0Px3KOsy9(chr(2147 - 2099) + chr(8268 - 8157) + chr(0b110001) + chr(2411 - 2356), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(2176 - 2123) + chr(0b10110 + 0o32), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x06'), chr(100) + chr(0b10101 + 0o120) + chr(4100 - 4001) + '\x6f' + '\144' + '\145')(chr(0b1110101) + chr(116) + chr(4132 - 4030) + chr(0b1 + 0o54) + chr(817 - 761)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def uwj4L8z_ynNr(RHkuqVmnahXJ=ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + chr(0b11101 + 0o23), 8)):
pd3lxn9vqWxp = U_a7OzgTlwvr.datasets.load_iris()
aVhM9WzaWXU5 = dubtF9GfzOdC.DataFrame(data=pd3lxn9vqWxp.ULnjp6D6efFH, columns=pd3lxn9vqWxp.pfS5O3iUpFhz)
if RHkuqVmnahXJ:
return (aVhM9WzaWXU5, [xafqLlk3kkUe(pd3lxn9vqWxp, xafqLlk3kkUe(SXOLrMavuUCe(b'\\}\xe7{K3\x9c\xa6i;;\xf7'), '\144' + chr(101) + chr(0b1011001 + 0o12) + chr(2866 - 2755) + chr(0b111000 + 0o54) + '\145')(chr(11851 - 11734) + chr(116) + chr(0b1100110) + chr(1663 - 1618) + chr(575 - 519)))[cMbll0QYhULo] for cMbll0QYhULo in xafqLlk3kkUe(pd3lxn9vqWxp, xafqLlk3kkUe(SXOLrMavuUCe(b'oN\xa4)\x16v\xa7\x9a=$\x1a\xd7'), chr(100) + chr(2194 - 2093) + '\143' + '\157' + chr(100) + chr(7315 - 7214))('\165' + chr(0b1110100) + '\x66' + chr(797 - 752) + chr(56)))])
else:
return (aVhM9WzaWXU5, xafqLlk3kkUe(pd3lxn9vqWxp, xafqLlk3kkUe(SXOLrMavuUCe(b'oN\xa4)\x16v\xa7\x9a=$\x1a\xd7'), chr(0b1100100) + chr(101) + chr(756 - 657) + chr(0b1100 + 0o143) + chr(5511 - 5411) + '\x65')(chr(0b1110101) + chr(116) + chr(102) + chr(1573 - 1528) + chr(0b111000))))
|
slundberg/shap
|
shap/datasets.py
|
adult
|
def adult(display=False):
""" Return the Adult census data in a nice package. """
dtypes = [
("Age", "float32"), ("Workclass", "category"), ("fnlwgt", "float32"),
("Education", "category"), ("Education-Num", "float32"), ("Marital Status", "category"),
("Occupation", "category"), ("Relationship", "category"), ("Race", "category"),
("Sex", "category"), ("Capital Gain", "float32"), ("Capital Loss", "float32"),
("Hours per week", "float32"), ("Country", "category"), ("Target", "category")
]
raw_data = pd.read_csv(
cache(github_data_url + "adult.data"),
names=[d[0] for d in dtypes],
na_values="?",
dtype=dict(dtypes)
)
data = raw_data.drop(["Education"], axis=1) # redundant with Education-Num
filt_dtypes = list(filter(lambda x: not (x[0] in ["Target", "Education"]), dtypes))
data["Target"] = data["Target"] == " >50K"
rcode = {
"Not-in-family": 0,
"Unmarried": 1,
"Other-relative": 2,
"Own-child": 3,
"Husband": 4,
"Wife": 5
}
for k, dtype in filt_dtypes:
if dtype == "category":
if k == "Relationship":
data[k] = np.array([rcode[v.strip()] for v in data[k]])
else:
data[k] = data[k].cat.codes
if display:
return raw_data.drop(["Education", "Target", "fnlwgt"], axis=1), data["Target"].values
else:
return data.drop(["Target", "fnlwgt"], axis=1), data["Target"].values
|
python
|
def adult(display=False):
""" Return the Adult census data in a nice package. """
dtypes = [
("Age", "float32"), ("Workclass", "category"), ("fnlwgt", "float32"),
("Education", "category"), ("Education-Num", "float32"), ("Marital Status", "category"),
("Occupation", "category"), ("Relationship", "category"), ("Race", "category"),
("Sex", "category"), ("Capital Gain", "float32"), ("Capital Loss", "float32"),
("Hours per week", "float32"), ("Country", "category"), ("Target", "category")
]
raw_data = pd.read_csv(
cache(github_data_url + "adult.data"),
names=[d[0] for d in dtypes],
na_values="?",
dtype=dict(dtypes)
)
data = raw_data.drop(["Education"], axis=1) # redundant with Education-Num
filt_dtypes = list(filter(lambda x: not (x[0] in ["Target", "Education"]), dtypes))
data["Target"] = data["Target"] == " >50K"
rcode = {
"Not-in-family": 0,
"Unmarried": 1,
"Other-relative": 2,
"Own-child": 3,
"Husband": 4,
"Wife": 5
}
for k, dtype in filt_dtypes:
if dtype == "category":
if k == "Relationship":
data[k] = np.array([rcode[v.strip()] for v in data[k]])
else:
data[k] = data[k].cat.codes
if display:
return raw_data.drop(["Education", "Target", "fnlwgt"], axis=1), data["Target"].values
else:
return data.drop(["Target", "fnlwgt"], axis=1), data["Target"].values
|
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] |
Return the Adult census data in a nice package.
|
[
"Return",
"the",
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"census",
"data",
"in",
"a",
"nice",
"package",
"."
] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/datasets.py#L92-L128
|
train
|
Return the Adult census data in a nice package.
|
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(1844 - 1796) + chr(111) + chr(0b110111) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(2259 - 2148) + '\065' + '\x35', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(50) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(1018 - 969) + chr(52 - 1) + chr(1480 - 1425), 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(0b110001) + chr(48) + chr(0b10100 + 0o37), 24231 - 24223), ehT0Px3KOsy9(chr(1163 - 1115) + '\157' + chr(0b11110 + 0o24) + '\x37' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111110 + 0o61) + chr(0b11010 + 0o30) + chr(49) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101011 + 0o4) + '\x33' + chr(0b100110 + 0o16) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + '\061' + chr(0b110001 + 0o1) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(0b10 + 0o57) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1600 - 1552) + '\x6f' + chr(51) + chr(0b110100) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1526 - 1476) + '\x30' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7068 - 6957) + chr(0b110100) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\064' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(866 - 818) + chr(0b1101111) + chr(1475 - 1426) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\x6f' + '\063' + '\x34' + '\067', 4018 - 4010), ehT0Px3KOsy9(chr(0b110000) + chr(0b100110 + 0o111) + '\x33' + chr(0b110011) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(640 - 592) + chr(0b1000100 + 0o53) + chr(209 - 159) + chr(54) + '\x36', 17989 - 17981), ehT0Px3KOsy9(chr(1060 - 1012) + '\x6f' + '\061' + '\064' + '\x36', 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b101101 + 0o102) + chr(0b110011) + chr(1344 - 1289), 0o10), ehT0Px3KOsy9('\060' + chr(10149 - 10038) + '\063' + chr(50) + chr(0b110 + 0o55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6570 - 6459) + chr(590 - 540) + chr(0b110000) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(11683 - 11572) + chr(0b1111 + 0o44) + '\066' + chr(0b10000 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(680 - 632) + chr(111) + chr(0b101001 + 0o12) + chr(0b110111) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11011 + 0o31) + chr(50), 60536 - 60528), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1041 - 990) + chr(0b11011 + 0o31) + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1100 + 0o50) + '\x31', 8), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\x33' + '\x34', 0o10), ehT0Px3KOsy9(chr(1666 - 1618) + '\157' + '\062' + '\067' + chr(55), 34692 - 34684), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(0b10110 + 0o33) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(488 - 377) + chr(0b110011) + chr(1545 - 1497) + chr(68 - 17), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + '\062' + '\067' + '\060', 0o10), ehT0Px3KOsy9(chr(1327 - 1279) + chr(11150 - 11039) + chr(0b110 + 0o53) + chr(55) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(8965 - 8854) + chr(0b110010) + chr(0b110110) + chr(2257 - 2206), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(54) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(564 - 453) + chr(914 - 864) + '\x37' + chr(0b110110), 56468 - 56460), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11111 + 0o22) + chr(0b110010) + chr(49), 11887 - 11879), ehT0Px3KOsy9(chr(48) + chr(0b10101 + 0o132) + chr(750 - 701) + '\066' + chr(0b110101), 29724 - 29716), ehT0Px3KOsy9(chr(1912 - 1864) + chr(7844 - 7733) + '\x31' + '\x34' + '\x33', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(6623 - 6512) + '\065' + chr(92 - 44), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x14'), chr(0b1111 + 0o125) + chr(0b1100101) + chr(0b1001110 + 0o25) + chr(0b1101111) + chr(7073 - 6973) + '\145')('\x75' + chr(116) + chr(0b1100110) + chr(0b1001 + 0o44) + chr(0b1101 + 0o53)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def bye8awqTY4tp(RHkuqVmnahXJ=ehT0Px3KOsy9(chr(0b110000) + chr(0b1000000 + 0o57) + chr(48), 18138 - 18130)):
povqwBfbr44M = [(xafqLlk3kkUe(SXOLrMavuUCe(b'{J\xf6'), chr(0b101011 + 0o71) + chr(5031 - 4930) + chr(4968 - 4869) + '\x6f' + chr(5252 - 5152) + '\x65')('\x75' + chr(0b11100 + 0o130) + chr(0b1100110) + '\x2d' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\\A\xfc>7\x89\xbb'), chr(0b1100100) + chr(0b1100101) + chr(8368 - 8269) + '\x6f' + chr(0b110110 + 0o56) + chr(101))(chr(0b1110101) + chr(0b1110100) + '\x66' + '\x2d' + chr(0b111000))), (xafqLlk3kkUe(SXOLrMavuUCe(b'mB\xe14 \xd6\xe8\x92!'), '\x64' + chr(0b1100101) + chr(4432 - 4333) + chr(111) + chr(0b1100100) + '\145')(chr(9952 - 9835) + '\164' + '\x66' + chr(0b101101) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'YL\xe7:$\xd5\xfb\x98'), '\x64' + '\x65' + chr(0b1100011) + chr(111) + chr(1318 - 1218) + chr(0b10100 + 0o121))(chr(117) + '\x74' + chr(4386 - 4284) + chr(45) + '\070')), (xafqLlk3kkUe(SXOLrMavuUCe(b'\\C\xff($\xce'), chr(0b1100100) + '\x65' + chr(99) + chr(5586 - 5475) + '\144' + chr(9713 - 9612))(chr(9903 - 9786) + '\164' + chr(0b10010 + 0o124) + chr(95 - 50) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\\A\xfc>7\x89\xbb'), '\144' + chr(0b1001000 + 0o35) + '\143' + chr(11484 - 11373) + '\144' + '\x65')(chr(117) + '\164' + chr(0b1100110) + chr(525 - 480) + '\x38')), (xafqLlk3kkUe(SXOLrMavuUCe(b'\x7fI\xe6<"\xce\xe0\x8e<'), chr(9588 - 9488) + chr(101) + '\x63' + chr(0b1101111) + '\144' + chr(101))(chr(12805 - 12688) + chr(116) + '\146' + chr(0b1100 + 0o41) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'YL\xe7:$\xd5\xfb\x98'), '\144' + chr(101) + chr(99) + '\157' + chr(0b1100100) + chr(5347 - 5246))('\165' + chr(0b101001 + 0o113) + '\x66' + chr(45) + chr(0b100010 + 0o26))), (xafqLlk3kkUe(SXOLrMavuUCe(b'\x7fI\xe6<"\xce\xe0\x8e<f\xac\xf7h'), '\x64' + chr(0b1100101) + chr(0b1001100 + 0o27) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(4341 - 4225) + '\x66' + chr(1554 - 1509) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\\A\xfc>7\x89\xbb'), '\x64' + chr(3943 - 3842) + chr(0b110111 + 0o54) + chr(0b1101111) + '\144' + chr(0b1111 + 0o126))(chr(7491 - 7374) + '\x74' + chr(1028 - 926) + chr(0b1001 + 0o44) + '\x38')), (xafqLlk3kkUe(SXOLrMavuUCe(b'wL\xe167\xdb\xe5\xc1\x01?\x83\xf6pP'), chr(0b101011 + 0o71) + chr(101) + chr(0b101101 + 0o66) + chr(111) + chr(8869 - 8769) + chr(2322 - 2221))(chr(13218 - 13101) + chr(0b1110100) + chr(8523 - 8421) + '\055' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'YL\xe7:$\xd5\xfb\x98'), chr(0b1100100) + chr(0b1100101 + 0o0) + chr(0b1100011) + chr(0b1101111) + chr(0b110000 + 0o64) + '\x65')(chr(117) + '\x74' + chr(102) + '\x2d' + chr(1282 - 1226))), (xafqLlk3kkUe(SXOLrMavuUCe(b'uN\xf0*3\xdb\xfd\x88=%'), chr(0b1001011 + 0o31) + chr(5280 - 5179) + '\x63' + chr(0b1101 + 0o142) + chr(0b1010001 + 0o23) + '\145')(chr(0b1110101) + '\x74' + chr(10276 - 10174) + chr(45) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'YL\xe7:$\xd5\xfb\x98'), chr(0b1100100) + '\145' + chr(0b1100011) + '\x6f' + '\x64' + '\x65')(chr(117) + chr(0b1110100) + chr(0b1010001 + 0o25) + '\055' + '\070')), (xafqLlk3kkUe(SXOLrMavuUCe(b'hH\xff>7\xd3\xe6\x8f!#\x8b\xf2'), chr(0b101001 + 0o73) + chr(0b101110 + 0o67) + chr(99) + chr(111) + chr(2346 - 2246) + chr(8147 - 8046))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(45) + chr(0b11001 + 0o37)), xafqLlk3kkUe(SXOLrMavuUCe(b'YL\xe7:$\xd5\xfb\x98'), chr(0b100101 + 0o77) + chr(0b111000 + 0o55) + chr(338 - 239) + '\x6f' + chr(0b1000110 + 0o36) + '\x65')('\165' + chr(116) + chr(102) + chr(540 - 495) + chr(2672 - 2616))), (xafqLlk3kkUe(SXOLrMavuUCe(b'hL\xf0:'), '\144' + chr(0b1100101) + chr(0b11011 + 0o110) + '\x6f' + '\x64' + '\x65')(chr(0b1110101) + chr(2822 - 2706) + chr(102) + '\x2d' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'YL\xe7:$\xd5\xfb\x98'), chr(0b1011010 + 0o12) + chr(0b10010 + 0o123) + '\143' + chr(0b1101111) + chr(0b110010 + 0o62) + chr(101))(chr(9670 - 9553) + '\164' + chr(102) + chr(45) + '\x38')), (xafqLlk3kkUe(SXOLrMavuUCe(b'iH\xeb'), '\144' + chr(1362 - 1261) + chr(0b10010 + 0o121) + chr(0b1001001 + 0o46) + chr(3016 - 2916) + '\x65')(chr(117) + chr(0b1110100) + chr(6116 - 6014) + '\055' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'YL\xe7:$\xd5\xfb\x98'), '\144' + '\145' + chr(3977 - 3878) + chr(2763 - 2652) + chr(100) + chr(6788 - 6687))(chr(0b111100 + 0o71) + '\x74' + chr(0b1100110) + chr(0b101101) + '\070')), (xafqLlk3kkUe(SXOLrMavuUCe(b'yL\xe367\xdb\xe5\xc1\x15*\x8b\xec'), chr(0b1100100) + '\x65' + chr(99) + chr(111) + chr(0b1100100) + chr(0b1100101))('\165' + chr(0b1110100) + '\x66' + chr(0b10010 + 0o33) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\\A\xfc>7\x89\xbb'), '\x64' + chr(0b100001 + 0o104) + '\x63' + chr(0b1101111) + chr(2569 - 2469) + chr(0b1010001 + 0o24))('\165' + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\x38')), (xafqLlk3kkUe(SXOLrMavuUCe(b'yL\xe367\xdb\xe5\xc1\x1e$\x91\xf1'), '\144' + chr(101) + '\x63' + chr(0b1101111) + chr(9994 - 9894) + chr(3087 - 2986))('\165' + chr(3658 - 3542) + chr(102) + '\055' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\\A\xfc>7\x89\xbb'), chr(5471 - 5371) + '\x65' + '\143' + chr(111) + '\x64' + chr(0b1011001 + 0o14))(chr(0b111001 + 0o74) + '\x74' + '\x66' + chr(0b1100 + 0o41) + chr(0b110111 + 0o1))), (xafqLlk3kkUe(SXOLrMavuUCe(b'rB\xe6-0\x9a\xf9\x84 k\x95\xe7`H'), chr(4776 - 4676) + chr(3508 - 3407) + '\x63' + '\x6f' + chr(0b10110 + 0o116) + chr(0b0 + 0o145))(chr(0b1011111 + 0o26) + chr(116) + chr(5542 - 5440) + chr(0b0 + 0o55) + chr(796 - 740)), xafqLlk3kkUe(SXOLrMavuUCe(b'\\A\xfc>7\x89\xbb'), chr(0b1100100) + chr(0b100 + 0o141) + chr(0b1100011) + chr(0b1101111) + chr(0b1000100 + 0o40) + chr(0b100010 + 0o103))(chr(1465 - 1348) + '\x74' + '\146' + '\x2d' + '\070')), (xafqLlk3kkUe(SXOLrMavuUCe(b'yB\xe617\xc8\xf0'), chr(995 - 895) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(100) + '\145')(chr(0b1110101) + chr(9128 - 9012) + chr(102) + chr(1912 - 1867) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'YL\xe7:$\xd5\xfb\x98'), '\144' + chr(101) + '\x63' + chr(7004 - 6893) + chr(2822 - 2722) + chr(0b111101 + 0o50))(chr(117) + chr(116) + '\x66' + '\055' + chr(56))), (xafqLlk3kkUe(SXOLrMavuUCe(b'nL\xe18&\xce'), chr(0b101100 + 0o70) + '\x65' + chr(0b1001101 + 0o26) + chr(817 - 706) + chr(0b1011 + 0o131) + chr(101))(chr(0b100010 + 0o123) + '\164' + chr(0b100100 + 0o102) + '\x2d' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'YL\xe7:$\xd5\xfb\x98'), chr(100) + chr(4419 - 4318) + chr(0b1100011) + '\157' + '\144' + '\145')(chr(117) + '\164' + '\146' + '\x2d' + '\070'))]
LjisoG1znXxU = dubtF9GfzOdC.read_csv(j1lPDdxcDbRB(eRlEeaAkJDcL + xafqLlk3kkUe(SXOLrMavuUCe(b'[I\xe637\x94\xed\x80&*'), chr(0b1000 + 0o134) + '\145' + chr(1703 - 1604) + chr(0b11001 + 0o126) + chr(6584 - 6484) + chr(101))('\x75' + chr(9578 - 9462) + chr(316 - 214) + chr(1017 - 972) + chr(0b111000))), names=[pd3lxn9vqWxp[ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + '\060', 8)] for pd3lxn9vqWxp in povqwBfbr44M], na_values=xafqLlk3kkUe(SXOLrMavuUCe(b'\x05'), '\144' + chr(0b1100101) + chr(9156 - 9057) + chr(0b1001111 + 0o40) + '\144' + chr(5187 - 5086))(chr(0b1110101) + chr(0b1011 + 0o151) + chr(0b1100110) + chr(45) + chr(1028 - 972)), dtype=wLqBDw8l0eIm(povqwBfbr44M))
ULnjp6D6efFH = LjisoG1znXxU.drop([xafqLlk3kkUe(SXOLrMavuUCe(b'\x7fI\xe6<"\xce\xe0\x8e<'), chr(100) + chr(0b11010 + 0o113) + chr(99) + chr(0b1101111) + '\144' + '\x65')('\x75' + chr(0b1011000 + 0o34) + chr(0b10010 + 0o124) + chr(911 - 866) + '\070')], axis=ehT0Px3KOsy9('\x30' + chr(0b100001 + 0o116) + '\061', 0o10))
cpYnamIm4q2_ = YyaZ4tpXu4lf(hi1V0ySZcNds(lambda OeWW0F1dBPRQ: not OeWW0F1dBPRQ[ehT0Px3KOsy9(chr(48) + chr(5295 - 5184) + '\060', 8)] in [xafqLlk3kkUe(SXOLrMavuUCe(b'nL\xe18&\xce'), chr(0b1100100) + '\145' + chr(0b1010111 + 0o14) + chr(0b1010100 + 0o33) + '\144' + chr(0b1000111 + 0o36))(chr(13351 - 13234) + chr(0b1110100) + '\146' + chr(0b11000 + 0o25) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x7fI\xe6<"\xce\xe0\x8e<'), '\144' + chr(0b1100011 + 0o2) + chr(9376 - 9277) + chr(111) + chr(0b10111 + 0o115) + chr(0b1110 + 0o127))(chr(10718 - 10601) + chr(0b11011 + 0o131) + '\x66' + '\x2d' + chr(56))], povqwBfbr44M))
ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'nL\xe18&\xce'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(111) + '\144' + '\145')(chr(117) + chr(0b1010 + 0o152) + chr(102) + '\055' + '\x38')] = ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'nL\xe18&\xce'), chr(0b1100100) + chr(0b1001111 + 0o26) + chr(0b110 + 0o135) + chr(0b1100100 + 0o13) + chr(3705 - 3605) + chr(5089 - 4988))(chr(887 - 770) + '\164' + chr(0b1011000 + 0o16) + '\x2d' + chr(0b111000))] == xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a\x13\xa6o\x08'), chr(0b1010000 + 0o24) + chr(5680 - 5579) + '\143' + chr(111) + chr(280 - 180) + chr(101))('\165' + chr(11842 - 11726) + chr(0b11000 + 0o116) + chr(0b101101) + chr(2125 - 2069))
ThfTmNhoRjsB = {xafqLlk3kkUe(SXOLrMavuUCe(b'tB\xe7r*\xd4\xa4\x873&\x8b\xee|'), chr(7711 - 7611) + chr(0b1100101) + chr(0b1110 + 0o125) + '\x6f' + chr(100) + chr(7685 - 7584))('\165' + chr(0b110111 + 0o75) + chr(0b1100110) + chr(1715 - 1670) + '\070'): ehT0Px3KOsy9('\060' + chr(992 - 881) + '\060', 8), xafqLlk3kkUe(SXOLrMavuUCe(b'oC\xfe>1\xc8\xe0\x846'), '\x64' + chr(1284 - 1183) + '\x63' + chr(0b1101111) + '\x64' + '\x65')(chr(117) + chr(0b1110100) + chr(0b101101 + 0o71) + chr(0b10011 + 0o32) + chr(2480 - 2424)): ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1011011 + 0o24) + chr(0b110001), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'uY\xfb:1\x97\xfb\x84>*\x96\xebsF'), chr(0b1100100) + '\145' + chr(0b110110 + 0o55) + chr(111) + chr(100) + chr(9684 - 9583))(chr(117) + chr(1576 - 1460) + chr(0b1100110) + '\x2d' + chr(1987 - 1931)): ehT0Px3KOsy9('\060' + chr(0b1101100 + 0o3) + '\062', ord("\x08")), xafqLlk3kkUe(SXOLrMavuUCe(b'uZ\xfdr \xd2\xe0\x8d6'), '\x64' + chr(101) + chr(0b10001 + 0o122) + '\x6f' + '\x64' + chr(0b100110 + 0o77))('\x75' + '\164' + chr(8771 - 8669) + chr(0b101101) + chr(0b1000 + 0o60)): ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011), ord("\x08")), xafqLlk3kkUe(SXOLrMavuUCe(b'rX\xe0="\xd4\xed'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(0b1100101))('\x75' + '\x74' + '\x66' + '\x2d' + '\070'): ehT0Px3KOsy9('\060' + chr(6213 - 6102) + chr(633 - 581), 41113 - 41105), xafqLlk3kkUe(SXOLrMavuUCe(b'mD\xf5:'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(101))(chr(117) + chr(116) + chr(8887 - 8785) + chr(0b10001 + 0o34) + chr(56)): ehT0Px3KOsy9('\x30' + chr(490 - 379) + chr(860 - 807), 8)}
for (OolUPRJhRaJd, jSV9IKnemH7K) in cpYnamIm4q2_:
if jSV9IKnemH7K == xafqLlk3kkUe(SXOLrMavuUCe(b'YL\xe7:$\xd5\xfb\x98'), chr(100) + chr(101) + '\x63' + chr(2544 - 2433) + chr(2038 - 1938) + chr(0b1001010 + 0o33))(chr(117) + chr(0b1110100) + chr(2738 - 2636) + '\x2d' + '\x38'):
if OolUPRJhRaJd == xafqLlk3kkUe(SXOLrMavuUCe(b'hH\xff>7\xd3\xe6\x8f!#\x8b\xf2'), chr(0b1100100) + '\145' + '\x63' + chr(111) + '\x64' + '\x65')(chr(117) + chr(116) + chr(0b1001 + 0o135) + chr(0b101000 + 0o5) + chr(0b110 + 0o62)):
ULnjp6D6efFH[OolUPRJhRaJd] = WqUC3KWvYVup.B0ePDhpqxN5n([ThfTmNhoRjsB[cMbll0QYhULo.VmIJF6Fy6LrX()] for cMbll0QYhULo in ULnjp6D6efFH[OolUPRJhRaJd]])
else:
ULnjp6D6efFH[OolUPRJhRaJd] = ULnjp6D6efFH[OolUPRJhRaJd].cat.codes
if RHkuqVmnahXJ:
return (xafqLlk3kkUe(LjisoG1znXxU, xafqLlk3kkUe(SXOLrMavuUCe(b'^_\xfc/'), chr(3591 - 3491) + chr(0b111110 + 0o47) + chr(0b1010101 + 0o16) + chr(0b110111 + 0o70) + chr(0b1100100) + '\x65')(chr(0b1111 + 0o146) + chr(0b11 + 0o161) + chr(102) + '\x2d' + '\x38'))([xafqLlk3kkUe(SXOLrMavuUCe(b'\x7fI\xe6<"\xce\xe0\x8e<'), chr(3900 - 3800) + chr(101) + chr(4790 - 4691) + chr(149 - 38) + chr(0b1100100) + chr(0b1010010 + 0o23))('\x75' + chr(2539 - 2423) + chr(102) + chr(45) + chr(1312 - 1256)), xafqLlk3kkUe(SXOLrMavuUCe(b'nL\xe18&\xce'), chr(3614 - 3514) + '\145' + '\143' + chr(6684 - 6573) + chr(100) + '\x65')('\165' + '\164' + '\x66' + chr(45) + chr(0b110010 + 0o6)), xafqLlk3kkUe(SXOLrMavuUCe(b'\\C\xff($\xce'), '\x64' + chr(3335 - 3234) + '\x63' + chr(0b1101111) + chr(7087 - 6987) + chr(0b1100101))('\165' + '\164' + chr(102) + '\x2d' + chr(0b100010 + 0o26))], axis=ehT0Px3KOsy9(chr(1398 - 1350) + '\157' + '\x31', 8)), xafqLlk3kkUe(ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'nL\xe18&\xce'), chr(7035 - 6935) + chr(0b1100101) + chr(0b1100011) + chr(0b100010 + 0o115) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b1001010 + 0o52) + chr(0b101011 + 0o73) + chr(1188 - 1143) + chr(1133 - 1077))], xafqLlk3kkUe(SXOLrMavuUCe(b'i}\xfd\x1c\r\xcf\xbc\xd5\x1az\x86\xe0'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(9573 - 9473) + '\x65')(chr(117) + chr(116) + chr(102) + chr(0b1000 + 0o45) + chr(56))))
else:
return (xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'^_\xfc/'), '\x64' + '\145' + '\143' + chr(111) + chr(0b1100100) + '\x65')(chr(0b100 + 0o161) + chr(0b1011101 + 0o27) + '\x66' + chr(0b10010 + 0o33) + chr(569 - 513)))([xafqLlk3kkUe(SXOLrMavuUCe(b'nL\xe18&\xce'), chr(0b111000 + 0o54) + '\x65' + '\x63' + chr(0b10000 + 0o137) + chr(0b1100100) + chr(101))(chr(7565 - 7448) + chr(0b1001001 + 0o53) + chr(3308 - 3206) + chr(1950 - 1905) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\\C\xff($\xce'), chr(0b1100100) + chr(0b110111 + 0o56) + '\x63' + chr(8543 - 8432) + '\x64' + '\145')(chr(0b1110101) + '\x74' + '\x66' + '\x2d' + chr(1712 - 1656))], axis=ehT0Px3KOsy9(chr(64 - 16) + '\157' + chr(0b110001), 8)), xafqLlk3kkUe(ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'nL\xe18&\xce'), chr(6129 - 6029) + '\x65' + '\x63' + '\157' + chr(0b1100100) + '\x65')(chr(117) + '\164' + chr(102) + chr(275 - 230) + chr(0b111000))], xafqLlk3kkUe(SXOLrMavuUCe(b'i}\xfd\x1c\r\xcf\xbc\xd5\x1az\x86\xe0'), '\x64' + chr(101) + chr(8416 - 8317) + chr(111) + chr(7708 - 7608) + '\x65')(chr(0b110111 + 0o76) + '\x74' + '\146' + '\055' + chr(0b101100 + 0o14))))
|
slundberg/shap
|
shap/datasets.py
|
nhanesi
|
def nhanesi(display=False):
""" A nicely packaged version of NHANES I data with surivival times as labels.
"""
X = pd.read_csv(cache(github_data_url + "NHANESI_subset_X.csv"))
y = pd.read_csv(cache(github_data_url + "NHANESI_subset_y.csv"))["y"]
if display:
X_display = X.copy()
X_display["Sex"] = ["Male" if v == 1 else "Female" for v in X["Sex"]]
return X_display, np.array(y)
else:
return X, np.array(y)
|
python
|
def nhanesi(display=False):
""" A nicely packaged version of NHANES I data with surivival times as labels.
"""
X = pd.read_csv(cache(github_data_url + "NHANESI_subset_X.csv"))
y = pd.read_csv(cache(github_data_url + "NHANESI_subset_y.csv"))["y"]
if display:
X_display = X.copy()
X_display["Sex"] = ["Male" if v == 1 else "Female" for v in X["Sex"]]
return X_display, np.array(y)
else:
return X, np.array(y)
|
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A nicely packaged version of NHANES I data with surivival times as labels.
|
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] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/datasets.py#L131-L141
|
train
|
A nicely packaged version of NHANES I data with surivival times as labels.
|
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(0b10000 + 0o45) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(0b110011) + chr(0b110111) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1011010 + 0o25) + '\063' + chr(0b11000 + 0o33), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1001010 + 0o45) + '\x31' + chr(902 - 851) + chr(296 - 245), 27692 - 27684), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(50) + chr(0b11000 + 0o36), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + chr(51) + chr(52) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\x33' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + '\x35' + chr(0b110110), 4480 - 4472), ehT0Px3KOsy9(chr(1497 - 1449) + '\157' + chr(0b1110 + 0o46) + chr(0b100010 + 0o24), 0o10), ehT0Px3KOsy9(chr(48) + chr(8426 - 8315) + chr(0b100001 + 0o20) + '\x33' + chr(54), 0o10), ehT0Px3KOsy9(chr(1063 - 1015) + chr(111) + chr(51) + chr(49) + chr(0b110011 + 0o3), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b110011) + '\x35', 0b1000), ehT0Px3KOsy9(chr(1889 - 1841) + '\157' + chr(0b110001) + '\066' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b110101 + 0o72) + chr(0b110101) + chr(0b10011 + 0o37), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\x35' + chr(0b110011), 9660 - 9652), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b1100 + 0o52) + chr(0b101010 + 0o15), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(50) + chr(0b100011 + 0o15), 0o10), ehT0Px3KOsy9(chr(2087 - 2039) + '\x6f' + chr(1369 - 1320) + chr(55) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1929 - 1878) + chr(52) + chr(0b1100 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(409 - 361) + chr(111) + chr(2461 - 2410) + '\063' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(2391 - 2338) + chr(350 - 299), 8), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + chr(2283 - 2233) + chr(1726 - 1675), 0o10), ehT0Px3KOsy9(chr(387 - 339) + '\157' + chr(1484 - 1435) + chr(48) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(0b10001 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(49) + '\067' + '\066', 8), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + '\061' + '\x30' + chr(0b110000 + 0o5), 0b1000), ehT0Px3KOsy9(chr(1001 - 953) + chr(111) + '\063' + chr(1206 - 1151) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + chr(50) + chr(0b11110 + 0o30) + '\064', 19519 - 19511), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(1782 - 1732) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b110010) + chr(0b100001 + 0o17), 8), ehT0Px3KOsy9(chr(48) + chr(5304 - 5193) + chr(0b1111 + 0o44) + chr(0b110110) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(51) + chr(252 - 203), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\065' + chr(0b11001 + 0o30), 41810 - 41802), ehT0Px3KOsy9('\060' + chr(7270 - 7159) + '\x31' + '\066' + chr(2116 - 2065), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x34' + chr(0b110 + 0o60), 8), ehT0Px3KOsy9(chr(0b110000) + chr(411 - 300) + '\x33' + chr(1177 - 1128) + chr(732 - 680), 1111 - 1103), ehT0Px3KOsy9(chr(48) + chr(0b1001011 + 0o44) + chr(50) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b101110 + 0o101) + '\062' + chr(0b110100) + chr(0b100111 + 0o11), 61440 - 61432), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(1478 - 1429) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(49) + chr(0b110100), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(441 - 393) + '\x6f' + chr(554 - 501) + chr(48), 59463 - 59455)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x04'), '\144' + chr(0b10100 + 0o121) + chr(4820 - 4721) + chr(0b11111 + 0o120) + chr(8815 - 8715) + chr(0b1100101))(chr(0b100000 + 0o125) + chr(5454 - 5338) + chr(102) + chr(1640 - 1595) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def HHWTsg8EpBSf(RHkuqVmnahXJ=ehT0Px3KOsy9('\x30' + '\157' + '\060', 0b1000)):
xEgrFJ0REugl = dubtF9GfzOdC.read_csv(j1lPDdxcDbRB(eRlEeaAkJDcL + xafqLlk3kkUe(SXOLrMavuUCe(b'd\xb6Z\x15\x13\xb6\xd51U+\xac\xae\x17^\xf4/\xbe\x1d\x93\xac'), chr(1355 - 1255) + chr(0b1100101) + chr(0b1000000 + 0o43) + chr(11572 - 11461) + chr(100) + '\x65')(chr(117) + chr(6284 - 6168) + chr(8868 - 8766) + chr(0b11111 + 0o16) + chr(56))))
SqiSOtYOqOJH = dubtF9GfzOdC.read_csv(j1lPDdxcDbRB(eRlEeaAkJDcL + xafqLlk3kkUe(SXOLrMavuUCe(b'd\xb6Z\x15\x13\xb6\xd51U+\xac\xae\x17^\xf4\x0e\xbe\x1d\x93\xac'), chr(796 - 696) + chr(0b1100101) + '\143' + chr(0b1010100 + 0o33) + chr(100) + chr(0b1100101))('\x75' + chr(9080 - 8964) + chr(4034 - 3932) + '\x2d' + chr(0b111000))))[xafqLlk3kkUe(SXOLrMavuUCe(b'S'), chr(3138 - 3038) + '\145' + '\x63' + chr(111) + chr(9559 - 9459) + chr(0b1100101))('\x75' + '\x74' + chr(0b1100110) + chr(1667 - 1622) + chr(0b11011 + 0o35))]
if RHkuqVmnahXJ:
P0kogUJh8XHR = xEgrFJ0REugl.igThHS4jwVsa()
P0kogUJh8XHR[xafqLlk3kkUe(SXOLrMavuUCe(b'y\x9bc'), chr(0b1100100) + '\x65' + '\143' + chr(0b111100 + 0o63) + chr(0b1100100) + chr(101))(chr(117) + '\164' + '\x66' + '\055' + chr(56))] = [xafqLlk3kkUe(SXOLrMavuUCe(b'g\x9fw>'), '\144' + '\x65' + chr(99) + chr(111) + '\144' + '\x65')(chr(0b11 + 0o162) + chr(116) + chr(0b11111 + 0o107) + chr(956 - 911) + chr(0b111000)) if cMbll0QYhULo == ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(8113 - 8002) + '\061', 0b1000) else xafqLlk3kkUe(SXOLrMavuUCe(b'l\x9bv::\x80'), '\x64' + chr(10074 - 9973) + '\143' + chr(111) + chr(0b10101 + 0o117) + chr(5830 - 5729))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(45) + '\x38') for cMbll0QYhULo in xEgrFJ0REugl[xafqLlk3kkUe(SXOLrMavuUCe(b'y\x9bc'), chr(5752 - 5652) + chr(0b111 + 0o136) + '\143' + chr(11122 - 11011) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b11010 + 0o132) + chr(0b1100110) + chr(45) + '\x38')]]
return (P0kogUJh8XHR, xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'h\xce~\x0b\x12\x8d\xec\x1f^\x10\xfb\xb3'), chr(8472 - 8372) + '\x65' + chr(6143 - 6044) + '\157' + chr(0b10110 + 0o116) + chr(10173 - 10072))('\x75' + chr(116) + '\146' + chr(1045 - 1000) + chr(0b101100 + 0o14)))(SqiSOtYOqOJH))
else:
return (xEgrFJ0REugl, xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'h\xce~\x0b\x12\x8d\xec\x1f^\x10\xfb\xb3'), '\144' + '\x65' + '\x63' + chr(111) + '\144' + chr(0b1100101))('\x75' + chr(8673 - 8557) + '\146' + chr(590 - 545) + chr(689 - 633)))(SqiSOtYOqOJH))
|
slundberg/shap
|
shap/datasets.py
|
cric
|
def cric(display=False):
""" A nicely packaged version of CRIC data with progression to ESRD within 4 years as the label.
"""
X = pd.read_csv(cache(github_data_url + "CRIC_time_4yearESRD_X.csv"))
y = np.loadtxt(cache(github_data_url + "CRIC_time_4yearESRD_y.csv"))
if display:
X_display = X.copy()
return X_display, y
else:
return X, y
|
python
|
def cric(display=False):
""" A nicely packaged version of CRIC data with progression to ESRD within 4 years as the label.
"""
X = pd.read_csv(cache(github_data_url + "CRIC_time_4yearESRD_X.csv"))
y = np.loadtxt(cache(github_data_url + "CRIC_time_4yearESRD_y.csv"))
if display:
X_display = X.copy()
return X_display, y
else:
return X, y
|
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] |
A nicely packaged version of CRIC data with progression to ESRD within 4 years as the label.
|
[
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] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/datasets.py#L143-L152
|
train
|
A nicely packaged version of CRIC data with progression to ESRD within 4 years as the label.
|
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(10842 - 10731) + '\062' + '\x30' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(1028 - 977) + chr(0b100011 + 0o15), 18330 - 18322), ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + chr(0b110001) + chr(1061 - 1011) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(55) + chr(0b11100 + 0o24), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + '\067' + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + chr(11186 - 11075) + '\061' + '\061' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\x31' + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001111 + 0o40) + '\062' + '\061' + chr(0b100001 + 0o25), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(0b110011) + '\x32' + chr(0b100101 + 0o22), 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(0b110001) + '\065' + chr(51), 0o10), ehT0Px3KOsy9(chr(1670 - 1622) + '\x6f' + '\x33' + chr(0b100111 + 0o20) + chr(1854 - 1805), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\064' + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + '\067' + chr(1918 - 1867), 0o10), ehT0Px3KOsy9('\x30' + chr(0b11 + 0o154) + chr(492 - 443) + '\065' + chr(0b11110 + 0o26), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100001 + 0o22) + chr(0b1011 + 0o54) + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(0b1000111 + 0o50) + '\062' + chr(1321 - 1267) + chr(51), 49071 - 49063), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000001 + 0o56) + chr(0b101010 + 0o10) + chr(491 - 443) + '\063', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b110011) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(5514 - 5403) + '\062' + '\x32' + chr(53), 55214 - 55206), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(54) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(0b110111) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(369 - 321) + '\x6f' + chr(0b1011 + 0o46) + chr(1104 - 1049) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(1794 - 1740) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\064' + chr(49), 20081 - 20073), ehT0Px3KOsy9(chr(206 - 158) + chr(0b1101111) + '\x32' + chr(0b0 + 0o62) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(1862 - 1809) + chr(50), 37340 - 37332), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(0b10000 + 0o41) + chr(0b10 + 0o65), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(408 - 297) + chr(0b1000 + 0o53) + chr(51) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(49 - 0) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001100 + 0o43) + chr(0b110010) + chr(0b110110) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(1934 - 1886) + chr(4941 - 4830) + chr(0b0 + 0o61) + '\x35' + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b10110 + 0o34), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b10100 + 0o133) + chr(2129 - 2079) + chr(1138 - 1084), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + '\x31' + chr(2293 - 2239) + chr(995 - 941), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9951 - 9840) + chr(0b101001 + 0o10) + '\065' + chr(0b1011 + 0o50), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(144 - 93) + chr(0b100101 + 0o22) + '\066', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10010 + 0o40) + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1000001 + 0o56) + chr(0b110001) + '\x37', 0o10), ehT0Px3KOsy9(chr(1023 - 975) + chr(6895 - 6784) + chr(0b110010) + chr(0b11000 + 0o30) + chr(0b101111 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(828 - 780) + chr(0b1000000 + 0o57) + chr(0b110 + 0o54) + '\067' + chr(1331 - 1278), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + chr(53) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xad'), '\x64' + chr(3864 - 3763) + '\x63' + chr(111) + chr(8514 - 8414) + chr(0b1001 + 0o134))(chr(9419 - 9302) + chr(0b110001 + 0o103) + chr(1535 - 1433) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def KlFZMxAMkvg4(RHkuqVmnahXJ=ehT0Px3KOsy9(chr(48) + chr(111) + '\060', 0b1000)):
xEgrFJ0REugl = dubtF9GfzOdC.read_csv(j1lPDdxcDbRB(eRlEeaAkJDcL + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\xca\x1a\xbbf8\xa0\xe3\xb24\xcd\x98\x1e\r\x8c\xf6\xd0\xc9\xd1\xacdW\x16R\xe1'), '\x64' + chr(0b1100101) + '\143' + '\157' + chr(0b100110 + 0o76) + '\145')(chr(117) + '\x74' + '\x66' + chr(0b1010 + 0o43) + chr(56))))
SqiSOtYOqOJH = WqUC3KWvYVup.loadtxt(j1lPDdxcDbRB(eRlEeaAkJDcL + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\xca\x1a\xbbf8\xa0\xe3\xb24\xcd\x98\x1e\r\x8c\xf6\xd0\xc9\xd1\xacEW\x16R\xe1'), chr(8375 - 8275) + chr(5136 - 5035) + chr(0b1100011) + chr(0b1101111) + chr(0b1001000 + 0o34) + chr(101))(chr(0b1110101) + chr(13165 - 13049) + chr(0b1100110) + chr(0b11001 + 0o24) + '\070')))
if RHkuqVmnahXJ:
P0kogUJh8XHR = xEgrFJ0REugl.igThHS4jwVsa()
return (P0kogUJh8XHR, SqiSOtYOqOJH)
else:
return (xEgrFJ0REugl, SqiSOtYOqOJH)
|
slundberg/shap
|
shap/datasets.py
|
corrgroups60
|
def corrgroups60(display=False):
""" Correlated Groups 60
A simulated dataset with tight correlations among distinct groups of features.
"""
# set a constant seed
old_seed = np.random.seed()
np.random.seed(0)
# generate dataset with known correlation
N = 1000
M = 60
# set one coefficent from each group of 3 to 1
beta = np.zeros(M)
beta[0:30:3] = 1
# build a correlation matrix with groups of 3 tightly correlated features
C = np.eye(M)
for i in range(0,30,3):
C[i,i+1] = C[i+1,i] = 0.99
C[i,i+2] = C[i+2,i] = 0.99
C[i+1,i+2] = C[i+2,i+1] = 0.99
f = lambda X: np.matmul(X, beta)
# Make sure the sample correlation is a perfect match
X_start = np.random.randn(N, M)
X_centered = X_start - X_start.mean(0)
Sigma = np.matmul(X_centered.T, X_centered) / X_centered.shape[0]
W = np.linalg.cholesky(np.linalg.inv(Sigma)).T
X_white = np.matmul(X_centered, W.T)
assert np.linalg.norm(np.corrcoef(np.matmul(X_centered, W.T).T) - np.eye(M)) < 1e-6 # ensure this decorrelates the data
# create the final data
X_final = np.matmul(X_white, np.linalg.cholesky(C).T)
X = X_final
y = f(X) + np.random.randn(N) * 1e-2
# restore the previous numpy random seed
np.random.seed(old_seed)
return pd.DataFrame(X), y
|
python
|
def corrgroups60(display=False):
""" Correlated Groups 60
A simulated dataset with tight correlations among distinct groups of features.
"""
# set a constant seed
old_seed = np.random.seed()
np.random.seed(0)
# generate dataset with known correlation
N = 1000
M = 60
# set one coefficent from each group of 3 to 1
beta = np.zeros(M)
beta[0:30:3] = 1
# build a correlation matrix with groups of 3 tightly correlated features
C = np.eye(M)
for i in range(0,30,3):
C[i,i+1] = C[i+1,i] = 0.99
C[i,i+2] = C[i+2,i] = 0.99
C[i+1,i+2] = C[i+2,i+1] = 0.99
f = lambda X: np.matmul(X, beta)
# Make sure the sample correlation is a perfect match
X_start = np.random.randn(N, M)
X_centered = X_start - X_start.mean(0)
Sigma = np.matmul(X_centered.T, X_centered) / X_centered.shape[0]
W = np.linalg.cholesky(np.linalg.inv(Sigma)).T
X_white = np.matmul(X_centered, W.T)
assert np.linalg.norm(np.corrcoef(np.matmul(X_centered, W.T).T) - np.eye(M)) < 1e-6 # ensure this decorrelates the data
# create the final data
X_final = np.matmul(X_white, np.linalg.cholesky(C).T)
X = X_final
y = f(X) + np.random.randn(N) * 1e-2
# restore the previous numpy random seed
np.random.seed(old_seed)
return pd.DataFrame(X), y
|
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] |
Correlated Groups 60
A simulated dataset with tight correlations among distinct groups of features.
|
[
"Correlated",
"Groups",
"60",
"A",
"simulated",
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"."
] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/datasets.py#L155-L197
|
train
|
A simulated dataset with tight correlations among distinct groups of features.
|
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(7306 - 7195) + chr(0b11000 + 0o33) + chr(0b110001) + chr(52), 0b1000), ehT0Px3KOsy9(chr(371 - 323) + chr(2527 - 2416) + chr(0b1000 + 0o51) + '\x30' + chr(0b11100 + 0o32), 0b1000), ehT0Px3KOsy9('\x30' + chr(6748 - 6637) + chr(53) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(1814 - 1764) + '\x37' + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b0 + 0o61) + '\060' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100001 + 0o16) + chr(0b11110 + 0o25) + '\x30' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(641 - 588) + '\x34', 41015 - 41007), ehT0Px3KOsy9(chr(639 - 591) + chr(111) + '\x32' + chr(0b110001) + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(12255 - 12144) + '\063' + chr(1848 - 1793) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b101000 + 0o107) + '\x33' + '\x30', 62475 - 62467), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100001 + 0o26) + '\x35', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2004 - 1955) + '\x36' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9570 - 9459) + chr(1247 - 1197) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100111 + 0o10) + chr(1225 - 1176) + '\x30' + chr(2029 - 1976), 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b11100 + 0o123) + chr(49) + chr(0b110010) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(1987 - 1876) + chr(0b11010 + 0o27) + '\x31' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(1728 - 1680) + chr(10126 - 10015) + chr(0b110010) + chr(51), 0b1000), ehT0Px3KOsy9(chr(1246 - 1198) + chr(0b111100 + 0o63) + chr(0b110001) + '\x37' + chr(0b110100), 36967 - 36959), ehT0Px3KOsy9(chr(48) + chr(0b111000 + 0o67) + chr(0b110011) + chr(0b11010 + 0o30) + chr(0b101 + 0o60), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10 + 0o155) + chr(2237 - 2188) + chr(54) + chr(0b11100 + 0o31), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(1126 - 1075) + chr(1975 - 1927) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110100) + '\x34', 0b1000), ehT0Px3KOsy9(chr(397 - 349) + chr(0b0 + 0o157) + '\062' + '\x37' + '\062', 6394 - 6386), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b11100 + 0o30) + chr(0b111 + 0o56), 14701 - 14693), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + chr(0b11000 + 0o32) + chr(0b110110) + '\x33', 49370 - 49362), ehT0Px3KOsy9(chr(2145 - 2097) + '\157' + chr(0b100000 + 0o23) + '\060' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11111 + 0o23) + chr(121 - 73) + '\x35', 14576 - 14568), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\x30' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101110 + 0o1) + '\x31' + '\x32' + '\064', 54832 - 54824), ehT0Px3KOsy9(chr(48) + chr(2165 - 2054) + chr(50) + '\062' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(1282 - 1234) + chr(111) + chr(2121 - 2072) + chr(0b1000 + 0o50), 0b1000), ehT0Px3KOsy9(chr(1178 - 1130) + '\x6f' + chr(1651 - 1597) + '\x35', 53443 - 53435), ehT0Px3KOsy9(chr(1712 - 1664) + chr(111) + chr(0b110011) + '\063' + chr(55), 17291 - 17283), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + '\063' + '\065' + chr(0b110101), 32306 - 32298), ehT0Px3KOsy9('\060' + chr(11189 - 11078) + chr(0b110011) + chr(0b110011) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10111 + 0o34) + chr(0b111 + 0o53), 0b1000), ehT0Px3KOsy9(chr(1039 - 991) + chr(0b1101111) + '\x35' + chr(1548 - 1495), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b1110 + 0o44) + '\061' + chr(0b10000 + 0o42), 57290 - 57282), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b110010 + 0o75) + chr(586 - 536) + '\066' + chr(0b110000), 27771 - 27763)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2082 - 2034) + chr(0b100100 + 0o113) + chr(0b1110 + 0o47) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(4647 - 4536) + '\144' + chr(1059 - 958))(chr(0b1110101) + chr(116) + '\x66' + chr(45) + chr(2401 - 2345)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def WG8MvihDiEdO(RHkuqVmnahXJ=ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1100001 + 0o16) + chr(207 - 159), 0o10)):
j_gGRFcb6_BR = WqUC3KWvYVup.random.seed()
xafqLlk3kkUe(WqUC3KWvYVup.random, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf#N\xd9'), chr(0b110011 + 0o61) + chr(0b1100101) + chr(99) + chr(0b1101111) + '\x64' + chr(0b1000101 + 0o40))('\165' + chr(116) + chr(102) + chr(0b1000 + 0o45) + chr(56)))(ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1000100 + 0o53) + chr(2081 - 2033), 8))
vn4sOrFiSB4c = ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2057 - 2008) + '\x37' + '\065' + chr(0b1111 + 0o41), 0b1000)
ed0oVQ7n0Y_q = ehT0Px3KOsy9(chr(48) + chr(4480 - 4369) + '\067' + chr(0b10011 + 0o41), 0o10)
FjcovgoHM1LG = WqUC3KWvYVup.zeros(ed0oVQ7n0Y_q)
FjcovgoHM1LG[ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(48), 8):ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(0b110110), ord("\x08")):ehT0Px3KOsy9(chr(48) + chr(5832 - 5721) + chr(1593 - 1542), ord("\x08"))] = ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31', 0o10)
GjrcPZV7TjBn = WqUC3KWvYVup.eye(ed0oVQ7n0Y_q)
for WVxHKyX45z_L in vQr8gNKaIaWE(ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110000), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b1 + 0o65), 8), ehT0Px3KOsy9(chr(425 - 377) + chr(9604 - 9493) + chr(51), 8)):
GjrcPZV7TjBn[WVxHKyX45z_L, WVxHKyX45z_L + ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061', 8)] = GjrcPZV7TjBn[WVxHKyX45z_L + ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31', 8), WVxHKyX45z_L] = 0.99
GjrcPZV7TjBn[WVxHKyX45z_L, WVxHKyX45z_L + ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32', 53999 - 53991)] = GjrcPZV7TjBn[WVxHKyX45z_L + ehT0Px3KOsy9(chr(48) + chr(111) + '\062', 8), WVxHKyX45z_L] = 0.99
GjrcPZV7TjBn[WVxHKyX45z_L + ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + chr(1834 - 1785), 8), WVxHKyX45z_L + ehT0Px3KOsy9('\060' + chr(4550 - 4439) + chr(1779 - 1729), 8)] = GjrcPZV7TjBn[WVxHKyX45z_L + ehT0Px3KOsy9(chr(48) + chr(5646 - 5535) + chr(50), 8), WVxHKyX45z_L + ehT0Px3KOsy9('\x30' + '\157' + chr(49), 8)] = 0.99
def EGyt1xfPT1P6(xEgrFJ0REugl):
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b"\xa1'_\xd0a/"), '\x64' + chr(0b1011100 + 0o11) + chr(0b1100011) + '\x6f' + chr(2876 - 2776) + chr(0b1100101))('\165' + '\164' + chr(0b1100110) + chr(1026 - 981) + chr(0b10101 + 0o43)))(xEgrFJ0REugl, FjcovgoHM1LG)
urvG0E9qd47F = WqUC3KWvYVup.random.randn(vn4sOrFiSB4c, ed0oVQ7n0Y_q)
KjLWIDUw4Yx2 = urvG0E9qd47F - urvG0E9qd47F.aJhItC_Vawlw(ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(48), 8))
wdgtKJkdPuwY = WqUC3KWvYVup.matmul(KjLWIDUw4Yx2.T, KjLWIDUw4Yx2) / KjLWIDUw4Yx2.nauYfLglTpcb[ehT0Px3KOsy9(chr(714 - 666) + '\x6f' + '\060', 8)]
GYEFWfOuAOm8 = WqUC3KWvYVup.linalg.cholesky(WqUC3KWvYVup.linalg.inv(wdgtKJkdPuwY)).T
BGdIDOog49mL = WqUC3KWvYVup.matmul(KjLWIDUw4Yx2, GYEFWfOuAOm8.T)
assert xafqLlk3kkUe(WqUC3KWvYVup.linalg, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\x12d\xca[\x1b\xb2\xcf\xe7\xabvN'), chr(0b1100100) + chr(0b1011001 + 0o14) + '\x63' + '\157' + chr(0b101010 + 0o72) + '\145')(chr(117) + chr(0b101110 + 0o106) + chr(102) + '\055' + chr(0b101001 + 0o17)))(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf)Y\xcfw,\xa5\xca'), '\144' + chr(0b1100101) + '\143' + chr(0b1101111) + '\x64' + chr(6261 - 6160))(chr(0b1110101) + chr(6172 - 6056) + '\x66' + '\x2d' + chr(56)))(xafqLlk3kkUe(WqUC3KWvYVup.matmul(KjLWIDUw4Yx2, GYEFWfOuAOm8.T), xafqLlk3kkUe(SXOLrMavuUCe(b'\x98'), chr(0b11000 + 0o114) + chr(3264 - 3163) + chr(0b111001 + 0o52) + '\x6f' + chr(0b101110 + 0o66) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(0b1001 + 0o44) + '\070'))) - xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9?N'), chr(100) + '\145' + chr(0b1000111 + 0o34) + '\157' + chr(100) + chr(0b100110 + 0o77))('\165' + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b110000 + 0o10)))(ed0oVQ7n0Y_q)) < 1e-06
FSnICsaPj2s8 = WqUC3KWvYVup.matmul(BGdIDOog49mL, WqUC3KWvYVup.linalg.cholesky(GjrcPZV7TjBn).T)
xEgrFJ0REugl = FSnICsaPj2s8
SqiSOtYOqOJH = EGyt1xfPT1P6(xEgrFJ0REugl) + WqUC3KWvYVup.random.randn(vn4sOrFiSB4c) * 0.01
xafqLlk3kkUe(WqUC3KWvYVup.random, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf#N\xd9'), chr(0b1100000 + 0o4) + '\145' + '\143' + chr(111) + '\x64' + chr(101))(chr(117) + '\164' + '\x66' + '\055' + '\070'))(j_gGRFcb6_BR)
return (xafqLlk3kkUe(dubtF9GfzOdC, xafqLlk3kkUe(SXOLrMavuUCe(b"\x88'_\xdcR1\xa1\xc1\xe9"), '\144' + chr(1511 - 1410) + chr(0b1100011) + chr(6336 - 6225) + chr(100) + chr(2385 - 2284))(chr(0b1110101) + chr(6163 - 6047) + chr(0b100110 + 0o100) + chr(0b10111 + 0o26) + chr(2855 - 2799)))(xEgrFJ0REugl), SqiSOtYOqOJH)
|
slundberg/shap
|
shap/datasets.py
|
independentlinear60
|
def independentlinear60(display=False):
""" A simulated dataset with tight correlations among distinct groups of features.
"""
# set a constant seed
old_seed = np.random.seed()
np.random.seed(0)
# generate dataset with known correlation
N = 1000
M = 60
# set one coefficent from each group of 3 to 1
beta = np.zeros(M)
beta[0:30:3] = 1
f = lambda X: np.matmul(X, beta)
# Make sure the sample correlation is a perfect match
X_start = np.random.randn(N, M)
X = X_start - X_start.mean(0)
y = f(X) + np.random.randn(N) * 1e-2
# restore the previous numpy random seed
np.random.seed(old_seed)
return pd.DataFrame(X), y
|
python
|
def independentlinear60(display=False):
""" A simulated dataset with tight correlations among distinct groups of features.
"""
# set a constant seed
old_seed = np.random.seed()
np.random.seed(0)
# generate dataset with known correlation
N = 1000
M = 60
# set one coefficent from each group of 3 to 1
beta = np.zeros(M)
beta[0:30:3] = 1
f = lambda X: np.matmul(X, beta)
# Make sure the sample correlation is a perfect match
X_start = np.random.randn(N, M)
X = X_start - X_start.mean(0)
y = f(X) + np.random.randn(N) * 1e-2
# restore the previous numpy random seed
np.random.seed(old_seed)
return pd.DataFrame(X), y
|
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A simulated dataset with tight correlations among distinct groups of features.
|
[
"A",
"simulated",
"dataset",
"with",
"tight",
"correlations",
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"groups",
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] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/datasets.py#L200-L225
|
train
|
A simulated dataset with tight correlations among distinct groups of features.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b110001 + 0o4) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + chr(346 - 297) + '\067' + chr(0b101110 + 0o2), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8280 - 8169) + '\062' + '\061' + '\064', 0o10), ehT0Px3KOsy9(chr(74 - 26) + chr(5897 - 5786) + chr(1980 - 1928) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(51) + chr(0b100 + 0o60), 19073 - 19065), ehT0Px3KOsy9(chr(48) + chr(0b110101 + 0o72) + chr(1670 - 1620) + chr(48) + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111111 + 0o60) + chr(0b110001) + '\066' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1001 + 0o146) + chr(54) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110101 + 0o0) + chr(0b11000 + 0o37), 52769 - 52761), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b100000 + 0o23), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1735 - 1684) + chr(54) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10001 + 0o41), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1101 + 0o44) + chr(0b110011) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(53) + chr(51), 0o10), ehT0Px3KOsy9(chr(1541 - 1493) + chr(2939 - 2828) + chr(54) + chr(502 - 449), 17502 - 17494), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + chr(54) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b11010 + 0o27) + chr(0b110100) + chr(2487 - 2437), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b110010) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(10449 - 10338) + '\063' + chr(388 - 334) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + chr(11663 - 11552) + chr(49) + chr(0b101 + 0o61) + chr(0b110100), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10011 + 0o37) + '\x37' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11253 - 11142) + chr(0b110011) + chr(0b110100 + 0o2) + '\067', 25756 - 25748), ehT0Px3KOsy9(chr(2250 - 2202) + '\x6f' + chr(0b110001) + '\067' + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\x31' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(0b101 + 0o56) + chr(55) + chr(464 - 410), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\067' + chr(0b11100 + 0o33), 16702 - 16694), ehT0Px3KOsy9(chr(2119 - 2071) + '\157' + chr(0b10111 + 0o32) + '\x32' + chr(0b10 + 0o65), 5437 - 5429), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(0b101101 + 0o4), 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(395 - 284) + chr(0b110001) + chr(0b10001 + 0o46) + chr(0b110100), 51790 - 51782), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\067' + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x37' + '\x37', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b100101 + 0o16), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + '\x35' + chr(2518 - 2463), ord("\x08")), ehT0Px3KOsy9(chr(444 - 396) + chr(8297 - 8186) + chr(0b110010) + chr(0b110000) + chr(54), 8), ehT0Px3KOsy9(chr(964 - 916) + chr(0b1101111) + '\x31' + chr(0b110110) + '\063', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(0b11110 + 0o25), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + '\x34' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(2162 - 2114) + chr(8334 - 8223) + chr(1248 - 1199) + '\x31' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(6894 - 6783) + chr(0b110001) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(902 - 851) + '\061' + chr(636 - 586), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b11100 + 0o123) + chr(1459 - 1406) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x83'), chr(100) + '\x65' + chr(358 - 259) + chr(111) + '\x64' + chr(5598 - 5497))(chr(117) + chr(0b1101101 + 0o7) + chr(9857 - 9755) + chr(93 - 48) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def wf__26q1rq7j(RHkuqVmnahXJ=ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000), 0b1000)):
j_gGRFcb6_BR = WqUC3KWvYVup.random.seed()
xafqLlk3kkUe(WqUC3KWvYVup.random, xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\x1d\xe9C'), chr(0b110111 + 0o55) + chr(0b1100101) + '\143' + chr(111) + chr(0b11101 + 0o107) + chr(0b1100101))(chr(1088 - 971) + '\x74' + chr(0b10 + 0o144) + chr(45) + '\070'))(ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1011111 + 0o20) + '\x30', 8))
vn4sOrFiSB4c = ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(1925 - 1870) + '\x35' + chr(0b10100 + 0o34), 0b1000)
ed0oVQ7n0Y_q = ehT0Px3KOsy9(chr(48) + '\x6f' + chr(55) + chr(0b11010 + 0o32), ord("\x08"))
FjcovgoHM1LG = WqUC3KWvYVup.zeros(ed0oVQ7n0Y_q)
FjcovgoHM1LG[ehT0Px3KOsy9('\060' + '\x6f' + chr(48), 8):ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(995 - 941), ord("\x08")):ehT0Px3KOsy9('\060' + '\157' + '\063', 0b1000)] = ehT0Px3KOsy9('\060' + '\x6f' + chr(49), 0o10)
def EGyt1xfPT1P6(xEgrFJ0REugl):
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\x19\xf8J\xa9\xea'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + '\x64' + '\x65')(chr(0b10001 + 0o144) + chr(3444 - 3328) + '\146' + chr(0b1111 + 0o36) + '\x38'))(xEgrFJ0REugl, FjcovgoHM1LG)
urvG0E9qd47F = WqUC3KWvYVup.random.randn(vn4sOrFiSB4c, ed0oVQ7n0Y_q)
xEgrFJ0REugl = urvG0E9qd47F - urvG0E9qd47F.aJhItC_Vawlw(ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + chr(0b110000), 8))
SqiSOtYOqOJH = EGyt1xfPT1P6(xEgrFJ0REugl) + WqUC3KWvYVup.random.randn(vn4sOrFiSB4c) * 0.01
xafqLlk3kkUe(WqUC3KWvYVup.random, xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\x1d\xe9C'), chr(8432 - 8332) + chr(101) + chr(9288 - 9189) + chr(111) + chr(100) + '\145')(chr(0b1110101) + '\x74' + chr(0b111100 + 0o52) + '\x2d' + '\070'))(j_gGRFcb6_BR)
return (xafqLlk3kkUe(dubtF9GfzOdC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\x19\xf8F\x9a\xf4\x15\\J'), chr(6073 - 5973) + chr(0b1100101) + chr(0b100 + 0o137) + chr(111) + '\x64' + chr(101))(chr(5025 - 4908) + chr(0b1011111 + 0o25) + '\146' + chr(45) + chr(0b11111 + 0o31)))(xEgrFJ0REugl), SqiSOtYOqOJH)
|
slundberg/shap
|
shap/datasets.py
|
rank
|
def rank():
""" Ranking datasets from lightgbm repository.
"""
rank_data_url = 'https://raw.githubusercontent.com/Microsoft/LightGBM/master/examples/lambdarank/'
x_train, y_train = sklearn.datasets.load_svmlight_file(cache(rank_data_url + 'rank.train'))
x_test, y_test = sklearn.datasets.load_svmlight_file(cache(rank_data_url + 'rank.test'))
q_train = np.loadtxt(cache(rank_data_url + 'rank.train.query'))
q_test = np.loadtxt(cache(rank_data_url + 'rank.test.query'))
return x_train, y_train, x_test, y_test, q_train, q_test
|
python
|
def rank():
""" Ranking datasets from lightgbm repository.
"""
rank_data_url = 'https://raw.githubusercontent.com/Microsoft/LightGBM/master/examples/lambdarank/'
x_train, y_train = sklearn.datasets.load_svmlight_file(cache(rank_data_url + 'rank.train'))
x_test, y_test = sklearn.datasets.load_svmlight_file(cache(rank_data_url + 'rank.test'))
q_train = np.loadtxt(cache(rank_data_url + 'rank.train.query'))
q_test = np.loadtxt(cache(rank_data_url + 'rank.test.query'))
return x_train, y_train, x_test, y_test, q_train, q_test
|
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Ranking datasets from lightgbm repository.
|
[
"Ranking",
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"repository",
"."
] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/datasets.py#L234-L242
|
train
|
Ranking datasets from lightgbm repository.
|
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(0b101 + 0o54) + '\067' + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(51) + '\061', 34956 - 34948), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + '\x31' + chr(0b110100) + chr(0b101010 + 0o6), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10011 + 0o40) + '\061' + chr(426 - 372), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b11101 + 0o122) + chr(0b11 + 0o57) + chr(83 - 31) + chr(0b0 + 0o62), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101011 + 0o104) + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x37' + chr(0b110010 + 0o1), 42598 - 42590), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(50) + chr(2188 - 2140), 14222 - 14214), ehT0Px3KOsy9(chr(857 - 809) + chr(10663 - 10552) + chr(0b10 + 0o60) + '\x32' + chr(0b0 + 0o62), 23398 - 23390), ehT0Px3KOsy9('\x30' + chr(0b1101110 + 0o1) + '\062' + chr(711 - 657) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101110 + 0o1) + chr(51) + chr(0b110110) + chr(2145 - 2094), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010 + 0o145) + chr(50) + chr(0b110001) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1910 - 1861) + chr(54) + chr(1620 - 1567), 65338 - 65330), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1497 - 1448) + chr(0b110010) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3128 - 3017) + chr(0b1100 + 0o47) + chr(1819 - 1771) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(8461 - 8350) + chr(0b110010) + chr(51) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b0 + 0o62) + '\x37' + chr(348 - 293), 12326 - 12318), ehT0Px3KOsy9(chr(1233 - 1185) + '\157' + '\x31' + chr(0b110100) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(679 - 631) + chr(9841 - 9730) + chr(50) + chr(0b110010) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\063' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b110000) + chr(0b1 + 0o60), 0o10), ehT0Px3KOsy9(chr(54 - 6) + chr(111) + '\x36' + chr(0b1010 + 0o51), 41960 - 41952), ehT0Px3KOsy9('\x30' + '\157' + '\x36' + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(507 - 455) + chr(188 - 136), ord("\x08")), ehT0Px3KOsy9(chr(1661 - 1613) + '\x6f' + '\x31' + chr(0b110000) + '\x31', 44298 - 44290), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101111 + 0o2) + '\066' + chr(0b10010 + 0o42), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(50) + chr(55), 0o10), ehT0Px3KOsy9(chr(1096 - 1048) + chr(111) + chr(0b110010) + chr(277 - 226) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5160 - 5049) + chr(50) + chr(0b110011) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1001101 + 0o42) + '\x30', 38914 - 38906), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110110) + chr(48), 47972 - 47964), ehT0Px3KOsy9('\060' + chr(1799 - 1688) + chr(83 - 34) + '\x34' + chr(0b100011 + 0o21), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100110 + 0o111) + chr(50) + '\062' + chr(0b110010), 8), ehT0Px3KOsy9(chr(1334 - 1286) + chr(111) + chr(50) + chr(0b0 + 0o60) + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(11671 - 11560) + chr(49) + chr(0b101111 + 0o6) + chr(50), 52702 - 52694), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(52) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(50) + '\x30' + '\x30', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(2354 - 2305) + '\x36', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1101 + 0o52) + chr(371 - 320), 8), ehT0Px3KOsy9(chr(0b110000) + chr(836 - 725) + chr(0b101100 + 0o6) + '\x34' + chr(48), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(0b110101) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'T'), chr(0b101 + 0o137) + chr(0b1100101) + '\143' + '\x6f' + '\144' + chr(0b1100101))('\165' + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(0b110100 + 0o4)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def SIkZeGCA53HL():
mclSMpxZ2o9I = xafqLlk3kkUe(SXOLrMavuUCe(b"\x12-\x14\xbe\xd18\x14\x7f\xe0\xd2\x84\xa6\x128\xb2\xf3\xca\x00\xe1,\xa4AV\xcb/\x002\xf2\xeb.S\x0b\xff\xaf'\x08\xe3\xbcT\xd3\x15?\x14\xe1\xeek\\8\xe6\xf4\xb1\xc5Z<\xa7\xe8\xcb\x07\xe6p\xa4KT\xc91\x182\xef\xb0lQ\t\xf0\xe4\x0b\x13\xe1\xa0P\x8f"), chr(0b1000011 + 0o41) + chr(0b1100101) + '\x63' + chr(9460 - 9349) + '\144' + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(9807 - 9705) + chr(0b1001 + 0o44) + '\070')
(jo_h5qUR2y9S, xz6TaFcNOBti) = U_a7OzgTlwvr.datasets.load_svmlight_file(j1lPDdxcDbRB(mclSMpxZ2o9I + xafqLlk3kkUe(SXOLrMavuUCe(b'\x088\x0e\xa5\x8cvI1\xfb\xdd'), '\144' + chr(1934 - 1833) + '\x63' + chr(0b100111 + 0o110) + '\x64' + '\x65')('\x75' + chr(11515 - 11399) + chr(0b1100110) + '\055' + chr(1940 - 1884))))
(FiTt52KNqKGV, Gmt2Yn1ASYcs) = U_a7OzgTlwvr.datasets.load_svmlight_file(j1lPDdxcDbRB(mclSMpxZ2o9I + xafqLlk3kkUe(SXOLrMavuUCe(b'\x088\x0e\xa5\x8cv^#\xe6'), chr(0b11010 + 0o112) + '\145' + '\x63' + '\x6f' + chr(100) + '\x65')(chr(117) + chr(0b1101010 + 0o12) + chr(0b1100110) + chr(1013 - 968) + '\070')))
JJKF2P8pp_3J = WqUC3KWvYVup.loadtxt(j1lPDdxcDbRB(mclSMpxZ2o9I + xafqLlk3kkUe(SXOLrMavuUCe(b'\x088\x0e\xa5\x8cvI1\xfb\xdd\xdd\xf9\x004\xb4\xe2'), chr(143 - 43) + chr(1606 - 1505) + '\143' + chr(0b1101111) + '\x64' + '\145')(chr(0b1100 + 0o151) + '\164' + chr(102) + '\055' + chr(2515 - 2459))))
aidndI5Dc5k9 = WqUC3KWvYVup.loadtxt(j1lPDdxcDbRB(mclSMpxZ2o9I + xafqLlk3kkUe(SXOLrMavuUCe(b'\x088\x0e\xa5\x8cv^#\xe6\x9d\x82\xfd\x10#\xbf'), '\144' + '\x65' + '\143' + chr(111) + chr(100) + chr(6853 - 6752))(chr(2560 - 2443) + chr(0b110111 + 0o75) + '\x66' + chr(663 - 618) + '\x38')))
return (jo_h5qUR2y9S, xz6TaFcNOBti, FiTt52KNqKGV, Gmt2Yn1ASYcs, JJKF2P8pp_3J, aidndI5Dc5k9)
|
slundberg/shap
|
shap/benchmark/measures.py
|
batch_remove_retrain
|
def batch_remove_retrain(nmask_train, nmask_test, X_train, y_train, X_test, y_test, attr_train, attr_test, model_generator, metric):
""" An approximation of holdout that only retraines the model once.
This is alse called ROAR (RemOve And Retrain) in work by Google. It is much more computationally
efficient that the holdout method because it masks the most important features in every sample
and then retrains the model once, instead of retraining the model for every test sample like
the holdout metric.
"""
warnings.warn("The retrain based measures can incorrectly evaluate models in some cases!")
X_train, X_test = to_array(X_train, X_test)
# how many features to mask
assert X_train.shape[1] == X_test.shape[1]
# mask nmask top features for each explanation
X_train_tmp = X_train.copy()
X_train_mean = X_train.mean(0)
tie_breaking_noise = const_rand(X_train.shape[1]) * 1e-6
for i in range(len(y_train)):
if nmask_train[i] > 0:
ordering = np.argsort(-attr_train[i, :] + tie_breaking_noise)
X_train_tmp[i, ordering[:nmask_train[i]]] = X_train_mean[ordering[:nmask_train[i]]]
X_test_tmp = X_test.copy()
for i in range(len(y_test)):
if nmask_test[i] > 0:
ordering = np.argsort(-attr_test[i, :] + tie_breaking_noise)
X_test_tmp[i, ordering[:nmask_test[i]]] = X_train_mean[ordering[:nmask_test[i]]]
# train the model with all the given features masked
model_masked = model_generator()
model_masked.fit(X_train_tmp, y_train)
yp_test_masked = model_masked.predict(X_test_tmp)
return metric(y_test, yp_test_masked)
|
python
|
def batch_remove_retrain(nmask_train, nmask_test, X_train, y_train, X_test, y_test, attr_train, attr_test, model_generator, metric):
""" An approximation of holdout that only retraines the model once.
This is alse called ROAR (RemOve And Retrain) in work by Google. It is much more computationally
efficient that the holdout method because it masks the most important features in every sample
and then retrains the model once, instead of retraining the model for every test sample like
the holdout metric.
"""
warnings.warn("The retrain based measures can incorrectly evaluate models in some cases!")
X_train, X_test = to_array(X_train, X_test)
# how many features to mask
assert X_train.shape[1] == X_test.shape[1]
# mask nmask top features for each explanation
X_train_tmp = X_train.copy()
X_train_mean = X_train.mean(0)
tie_breaking_noise = const_rand(X_train.shape[1]) * 1e-6
for i in range(len(y_train)):
if nmask_train[i] > 0:
ordering = np.argsort(-attr_train[i, :] + tie_breaking_noise)
X_train_tmp[i, ordering[:nmask_train[i]]] = X_train_mean[ordering[:nmask_train[i]]]
X_test_tmp = X_test.copy()
for i in range(len(y_test)):
if nmask_test[i] > 0:
ordering = np.argsort(-attr_test[i, :] + tie_breaking_noise)
X_test_tmp[i, ordering[:nmask_test[i]]] = X_train_mean[ordering[:nmask_test[i]]]
# train the model with all the given features masked
model_masked = model_generator()
model_masked.fit(X_train_tmp, y_train)
yp_test_masked = model_masked.predict(X_test_tmp)
return metric(y_test, yp_test_masked)
|
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] |
An approximation of holdout that only retraines the model once.
This is alse called ROAR (RemOve And Retrain) in work by Google. It is much more computationally
efficient that the holdout method because it masks the most important features in every sample
and then retrains the model once, instead of retraining the model for every test sample like
the holdout metric.
|
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] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/measures.py#L158-L193
|
train
|
This method is used to remove the model from the batch of training and test data.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(0b110110), 27560 - 27552), ehT0Px3KOsy9(chr(1220 - 1172) + chr(7869 - 7758) + chr(50) + chr(1069 - 1014), 701 - 693), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\x37' + '\062', 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(854 - 804) + chr(1175 - 1123) + chr(48), 5345 - 5337), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x37' + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(48) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11705 - 11594) + chr(0b110011) + chr(0b110010) + chr(0b110100), 20950 - 20942), ehT0Px3KOsy9(chr(369 - 321) + chr(0b1101111) + '\063' + chr(49) + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100 + 0o55) + chr(52) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(48) + chr(2044 - 1992), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(0b110010) + '\x30', 0b1000), ehT0Px3KOsy9(chr(482 - 434) + '\x6f' + '\x31' + chr(54) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101000 + 0o7) + chr(0b11001 + 0o32) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(8534 - 8423) + chr(2178 - 2129) + '\x31' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + '\063' + chr(55) + chr(2507 - 2456), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011100 + 0o23) + chr(50) + chr(0b1011 + 0o50) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + '\x31' + chr(2017 - 1962) + chr(0b1000 + 0o57), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(5747 - 5636) + chr(0b110011) + '\x32' + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(0b110101) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8022 - 7911) + chr(678 - 628) + chr(1167 - 1116) + chr(0b110100 + 0o0), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + '\066' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(0b1000 + 0o51), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(0b1011 + 0o46) + chr(0b11001 + 0o35) + chr(0b1010 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + chr(0b110001) + chr(0b110000) + '\065', 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + '\062' + '\066' + chr(50), 42124 - 42116), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + '\x34' + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\066' + chr(50), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(51) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(0b110110 + 0o71) + '\062' + chr(0b110001 + 0o0) + chr(1855 - 1802), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(49) + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(6675 - 6564) + '\061' + chr(2636 - 2582) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1010101 + 0o32) + chr(1069 - 1020) + chr(0b1010 + 0o54) + '\060', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1010 + 0o51) + '\x35' + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101101 + 0o4) + chr(0b11010 + 0o35) + '\x35', 32203 - 32195), ehT0Px3KOsy9('\060' + chr(111) + chr(52) + chr(1381 - 1330), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\062' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(439 - 391) + '\x6f' + '\065' + chr(163 - 114), 0b1000), ehT0Px3KOsy9('\060' + chr(1777 - 1666) + '\x31' + '\065' + chr(0b100100 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b110110) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110 + 0o55) + chr(48) + chr(0b111 + 0o51), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(4057 - 3946) + chr(53) + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'('), chr(0b110001 + 0o63) + chr(0b111 + 0o136) + chr(99) + '\x6f' + chr(100) + chr(8096 - 7995))(chr(117) + '\x74' + chr(747 - 645) + chr(0b11100 + 0o21) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def DKefQFOQrBkE(YP2JlA1WImt3, Th83xqgjDKCN, lBVWpm3twnT0, xz6TaFcNOBti, iWSGU7PkZMSJ, Gmt2Yn1ASYcs, ElTjrfVVCkrj, LhfTRmmsrId3, CfVCrMjfY5ZK, UyTbk4dY9zDl):
xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'hS\xff\xcev\xc0\xb5\xa8%\n[\x1c'), chr(0b11010 + 0o112) + chr(4469 - 4368) + '\143' + chr(2204 - 2093) + chr(0b110 + 0o136) + '\145')('\x75' + chr(116) + '\x66' + chr(0b100110 + 0o7) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'R\x7f\xdf\x80J\xe7\xa0\xb8\x02-~Q}/\x88\xf9\x1b\xf3\xc3\xf9Pb\x057\xd7\xd2\x92?\xec\xa5P\x19\x82\x1eL\xe0[\x0f\x90\xb4jn\x9a\xc5N\xe3\xb8\xbf\x020uQr!\x9f\xf9\x13\xa0\x8e\xf5_1\x03*\xdf\xc4\x92?\xec\xb8\x15\x03\xcd'), '\x64' + chr(0b110001 + 0o64) + chr(99) + chr(111) + chr(100) + chr(1269 - 1168))('\165' + '\164' + chr(2791 - 2689) + chr(45) + chr(0b11111 + 0o31)))
(lBVWpm3twnT0, iWSGU7PkZMSJ) = nZpbThUTDLyT(lBVWpm3twnT0, iWSGU7PkZMSJ)
assert xafqLlk3kkUe(lBVWpm3twnT0, xafqLlk3kkUe(SXOLrMavuUCe(b'hv\xcf\xf9^\xce\xb3\xa674s\x13'), '\x64' + chr(0b1100101) + '\143' + chr(111) + chr(0b110100 + 0o60) + chr(0b1010 + 0o133))('\165' + chr(12185 - 12069) + chr(0b1100110) + '\055' + chr(0b111000)))[ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49), ord("\x08"))] == xafqLlk3kkUe(iWSGU7PkZMSJ, xafqLlk3kkUe(SXOLrMavuUCe(b'hv\xcf\xf9^\xce\xb3\xa674s\x13'), chr(100) + chr(0b1100101) + chr(0b11 + 0o140) + '\157' + chr(9633 - 9533) + '\x65')('\165' + '\x74' + '\x66' + chr(0b101001 + 0o4) + '\070'))[ehT0Px3KOsy9('\060' + '\x6f' + '\x31', 8)]
frrRM834AxPo = lBVWpm3twnT0.igThHS4jwVsa()
UM7fztOkxaFD = lBVWpm3twnT0.aJhItC_Vawlw(ehT0Px3KOsy9('\x30' + chr(2606 - 2495) + chr(0b1101 + 0o43), 29586 - 29578))
tcCSqQAJDERv = VMeWnVp8PfiR(lBVWpm3twnT0.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(10927 - 10816) + '\x31', 8)]) * 1e-06
for WVxHKyX45z_L in vQr8gNKaIaWE(c2A0yzQpDQB3(xz6TaFcNOBti)):
if YP2JlA1WImt3[WVxHKyX45z_L] > ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(6387 - 6276) + '\060', 8):
ts8rYws8usJ6 = WqUC3KWvYVup.argsort(-ElTjrfVVCkrj[WVxHKyX45z_L, :] + tcCSqQAJDERv)
frrRM834AxPo[WVxHKyX45z_L, ts8rYws8usJ6[:YP2JlA1WImt3[WVxHKyX45z_L]]] = UM7fztOkxaFD[ts8rYws8usJ6[:YP2JlA1WImt3[WVxHKyX45z_L]]]
t71uu7xyOmlw = iWSGU7PkZMSJ.igThHS4jwVsa()
for WVxHKyX45z_L in vQr8gNKaIaWE(c2A0yzQpDQB3(Gmt2Yn1ASYcs)):
if Th83xqgjDKCN[WVxHKyX45z_L] > ehT0Px3KOsy9('\x30' + chr(7721 - 7610) + chr(0b110000), 8):
ts8rYws8usJ6 = WqUC3KWvYVup.argsort(-LhfTRmmsrId3[WVxHKyX45z_L, :] + tcCSqQAJDERv)
t71uu7xyOmlw[WVxHKyX45z_L, ts8rYws8usJ6[:Th83xqgjDKCN[WVxHKyX45z_L]]] = UM7fztOkxaFD[ts8rYws8usJ6[:Th83xqgjDKCN[WVxHKyX45z_L]]]
GTL2dl7112xz = CfVCrMjfY5ZK()
xafqLlk3kkUe(GTL2dl7112xz, xafqLlk3kkUe(SXOLrMavuUCe(b'`~\xce'), chr(0b1001000 + 0o34) + '\145' + '\143' + chr(0b1101111) + chr(1728 - 1628) + chr(0b1000101 + 0o40))(chr(2974 - 2857) + chr(0b1110100) + chr(0b1100110) + chr(45) + '\x38'))(frrRM834AxPo, xz6TaFcNOBti)
N7n7qwjzUVZ2 = GTL2dl7112xz.POyImYQwg5VB(t71uu7xyOmlw)
return UyTbk4dY9zDl(Gmt2Yn1ASYcs, N7n7qwjzUVZ2)
|
slundberg/shap
|
shap/benchmark/measures.py
|
keep_retrain
|
def keep_retrain(nkeep, X_train, y_train, X_test, y_test, attr_test, model_generator, metric, trained_model, random_state):
""" The model is retrained for each test sample with the non-important features set to a constant.
If you want to know how important a set of features is you can ask how the model would be
different if only those features had existed. To determine this we can mask the other features
across the entire training and test datasets, then retrain the model. If we apply compare the
output of this retrained model to the original model we can see the effect produced by only
knowning the important features. Since for individualized explanation methods each test sample
has a different set of most important features we need to retrain the model for every test sample
to get the change in model performance when a specified fraction of the most important features
are retained.
"""
warnings.warn("The retrain based measures can incorrectly evaluate models in some cases!")
# see if we match the last cached call
global _keep_cache
args = (X_train, y_train, X_test, y_test, model_generator, metric)
cache_match = False
if "args" in _keep_cache:
if all(a is b for a,b in zip(_keep_cache["args"], args)) and np.all(_keep_cache["attr_test"] == attr_test):
cache_match = True
X_train, X_test = to_array(X_train, X_test)
# how many features to mask
assert X_train.shape[1] == X_test.shape[1]
# this is the model we will retrain many times
model_masked = model_generator()
# keep nkeep top features and re-train the model for each test explanation
X_train_tmp = np.zeros(X_train.shape)
X_test_tmp = np.zeros(X_test.shape)
yp_masked_test = np.zeros(y_test.shape)
tie_breaking_noise = const_rand(X_train.shape[1]) * 1e-6
last_nkeep = _keep_cache.get("nkeep", None)
last_yp_masked_test = _keep_cache.get("yp_masked_test", None)
for i in tqdm(range(len(y_test)), "Retraining for the 'keep' metric"):
if cache_match and last_nkeep[i] == nkeep[i]:
yp_masked_test[i] = last_yp_masked_test[i]
elif nkeep[i] == attr_test.shape[1]:
yp_masked_test[i] = trained_model.predict(X_test[i:i+1])[0]
else:
# mask out the most important features for this test instance
X_train_tmp[:] = X_train
X_test_tmp[:] = X_test
ordering = np.argsort(-attr_test[i,:] + tie_breaking_noise)
X_train_tmp[:,ordering[nkeep[i]:]] = X_train[:,ordering[nkeep[i]:]].mean()
X_test_tmp[i,ordering[nkeep[i]:]] = X_train[:,ordering[nkeep[i]:]].mean()
# retrain the model and make a prediction
model_masked.fit(X_train_tmp, y_train)
yp_masked_test[i] = model_masked.predict(X_test_tmp[i:i+1])[0]
# save our results so the next call to us can be faster when there is redundancy
_keep_cache["nkeep"] = nkeep
_keep_cache["yp_masked_test"] = yp_masked_test
_keep_cache["attr_test"] = attr_test
_keep_cache["args"] = args
return metric(y_test, yp_masked_test)
|
python
|
def keep_retrain(nkeep, X_train, y_train, X_test, y_test, attr_test, model_generator, metric, trained_model, random_state):
""" The model is retrained for each test sample with the non-important features set to a constant.
If you want to know how important a set of features is you can ask how the model would be
different if only those features had existed. To determine this we can mask the other features
across the entire training and test datasets, then retrain the model. If we apply compare the
output of this retrained model to the original model we can see the effect produced by only
knowning the important features. Since for individualized explanation methods each test sample
has a different set of most important features we need to retrain the model for every test sample
to get the change in model performance when a specified fraction of the most important features
are retained.
"""
warnings.warn("The retrain based measures can incorrectly evaluate models in some cases!")
# see if we match the last cached call
global _keep_cache
args = (X_train, y_train, X_test, y_test, model_generator, metric)
cache_match = False
if "args" in _keep_cache:
if all(a is b for a,b in zip(_keep_cache["args"], args)) and np.all(_keep_cache["attr_test"] == attr_test):
cache_match = True
X_train, X_test = to_array(X_train, X_test)
# how many features to mask
assert X_train.shape[1] == X_test.shape[1]
# this is the model we will retrain many times
model_masked = model_generator()
# keep nkeep top features and re-train the model for each test explanation
X_train_tmp = np.zeros(X_train.shape)
X_test_tmp = np.zeros(X_test.shape)
yp_masked_test = np.zeros(y_test.shape)
tie_breaking_noise = const_rand(X_train.shape[1]) * 1e-6
last_nkeep = _keep_cache.get("nkeep", None)
last_yp_masked_test = _keep_cache.get("yp_masked_test", None)
for i in tqdm(range(len(y_test)), "Retraining for the 'keep' metric"):
if cache_match and last_nkeep[i] == nkeep[i]:
yp_masked_test[i] = last_yp_masked_test[i]
elif nkeep[i] == attr_test.shape[1]:
yp_masked_test[i] = trained_model.predict(X_test[i:i+1])[0]
else:
# mask out the most important features for this test instance
X_train_tmp[:] = X_train
X_test_tmp[:] = X_test
ordering = np.argsort(-attr_test[i,:] + tie_breaking_noise)
X_train_tmp[:,ordering[nkeep[i]:]] = X_train[:,ordering[nkeep[i]:]].mean()
X_test_tmp[i,ordering[nkeep[i]:]] = X_train[:,ordering[nkeep[i]:]].mean()
# retrain the model and make a prediction
model_masked.fit(X_train_tmp, y_train)
yp_masked_test[i] = model_masked.predict(X_test_tmp[i:i+1])[0]
# save our results so the next call to us can be faster when there is redundancy
_keep_cache["nkeep"] = nkeep
_keep_cache["yp_masked_test"] = yp_masked_test
_keep_cache["attr_test"] = attr_test
_keep_cache["args"] = args
return metric(y_test, yp_masked_test)
|
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] |
The model is retrained for each test sample with the non-important features set to a constant.
If you want to know how important a set of features is you can ask how the model would be
different if only those features had existed. To determine this we can mask the other features
across the entire training and test datasets, then retrain the model. If we apply compare the
output of this retrained model to the original model we can see the effect produced by only
knowning the important features. Since for individualized explanation methods each test sample
has a different set of most important features we need to retrain the model for every test sample
to get the change in model performance when a specified fraction of the most important features
are retained.
|
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] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/measures.py#L196-L258
|
train
|
Keep the model for each test sample and re - train it for each test sample.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1585 - 1537) + chr(0b1101111) + chr(0b110001) + chr(615 - 560) + chr(2539 - 2488), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(52) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b110000 + 0o3) + chr(0b1111 + 0o43), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1910 - 1799) + chr(0b110001) + chr(0b110001) + chr(909 - 857), 16007 - 15999), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + '\066' + chr(0b101100 + 0o12), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(0b110011) + chr(492 - 440), ord("\x08")), ehT0Px3KOsy9(chr(983 - 935) + chr(0b1101111) + chr(0b100001 + 0o20) + chr(0b110010), 64983 - 64975), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + '\062' + chr(1506 - 1451) + chr(257 - 205), 9705 - 9697), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\x30' + chr(0b0 + 0o66), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(1658 - 1609) + chr(0b11 + 0o61), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100011 + 0o114) + chr(1351 - 1300) + '\065', 10246 - 10238), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(4769 - 4658) + chr(0b110011) + '\x35' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(488 - 438) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10011 + 0o36) + chr(0b100100 + 0o21) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\061' + '\064', 8), ehT0Px3KOsy9(chr(546 - 498) + chr(0b100010 + 0o115) + chr(0b1011 + 0o46) + '\064' + '\x33', 0b1000), ehT0Px3KOsy9(chr(409 - 361) + chr(8701 - 8590) + '\061' + chr(0b110000) + chr(48), 21047 - 21039), ehT0Px3KOsy9(chr(604 - 556) + chr(0b111100 + 0o63) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + chr(1102 - 1053) + chr(50) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(0b10111 + 0o40) + chr(52), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\064' + chr(748 - 698), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2597 - 2546) + chr(884 - 830) + chr(0b110101), 7029 - 7021), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10010 + 0o37) + '\x35' + chr(54), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(53) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(1031 - 920) + chr(0b110001) + '\064' + chr(0b100101 + 0o15), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101 + 0o55) + '\063' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + chr(1383 - 1333) + chr(55) + chr(302 - 253), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10101 + 0o35) + chr(94 - 39) + chr(49), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(53) + chr(2127 - 2075), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2387 - 2338) + chr(1369 - 1321) + chr(0b1001 + 0o52), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + '\064' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b100010 + 0o21), 42927 - 42919), ehT0Px3KOsy9(chr(776 - 728) + chr(0b1100110 + 0o11) + '\062' + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11010 + 0o27) + chr(0b110111) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11454 - 11343) + chr(49) + chr(0b110110) + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(1730 - 1619) + chr(51) + chr(0b100011 + 0o23) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5208 - 5097) + chr(0b100010 + 0o17) + chr(72 - 19), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1898 - 1847) + chr(806 - 752), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100010 + 0o17) + chr(51) + chr(1542 - 1493), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(53) + chr(0b110000), 29376 - 29368)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'U'), chr(0b1100100) + '\145' + chr(0b100110 + 0o75) + '\157' + '\x64' + '\145')('\x75' + chr(0b1110100) + '\x66' + chr(45) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def o3qXp79Bmnv7(D1OY2tWJy6HK, lBVWpm3twnT0, xz6TaFcNOBti, iWSGU7PkZMSJ, Gmt2Yn1ASYcs, LhfTRmmsrId3, CfVCrMjfY5ZK, UyTbk4dY9zDl, Tzv4TDowegEA, KmuRhNvLygn2):
xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'\x15b\xdf"8\xdek\xde\x80\x82V\x80'), chr(5032 - 4932) + '\145' + '\143' + chr(0b1101111) + chr(0b11001 + 0o113) + chr(6192 - 6091))(chr(117) + '\164' + chr(0b111110 + 0o50) + chr(617 - 572) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'/N\xffl\x04\xf9~\xce\xa7\xa5s\xcd6\n\xbf\x06$!?\xd9\xc3\x86\x1b_\x07\xeb\x99\xdajBc\rut\x15\x00\x81h}-\x17_\xba)\x00\xfdf\xc9\xa7\xb8x\xcd9\x04\xa8\x06,rr\xd5\xcc\xd5\x1dB\x0f\xfd\x99\xdaj_&\x17:'), '\144' + chr(0b1000 + 0o135) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(899 - 782) + chr(0b1110100) + '\146' + '\x2d' + '\070'))
global iZxhIPOUGVUW
kJDRfRhcZHjS = (lBVWpm3twnT0, xz6TaFcNOBti, iWSGU7PkZMSJ, Gmt2Yn1ASYcs, CfVCrMjfY5ZK, UyTbk4dY9zDl)
KLevSQzPmjtZ = ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1 + 0o57), 0o10)
if xafqLlk3kkUe(SXOLrMavuUCe(b'\x1aT\xfd?'), chr(100) + chr(101) + '\x63' + '\157' + '\x64' + chr(0b1100011 + 0o2))('\x75' + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b111 + 0o61)) in iZxhIPOUGVUW:
if Dl48nj1rbi23((XPh1qbAgrPgG is wmN3dvez4qzC for (XPh1qbAgrPgG, wmN3dvez4qzC) in pZ0NK2y6HRbn(iZxhIPOUGVUW[xafqLlk3kkUe(SXOLrMavuUCe(b'\x1aT\xfd?'), chr(0b1011111 + 0o5) + '\x65' + chr(0b1100011) + chr(0b1010110 + 0o31) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(116) + '\146' + chr(0b1111 + 0o36) + chr(0b111000))], kJDRfRhcZHjS))) and xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'?J\xaet\x18\xf6;\xce\xa4\xa5/\xde'), chr(285 - 185) + chr(0b1010011 + 0o22) + chr(0b11010 + 0o111) + chr(7072 - 6961) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(0b110111 + 0o57) + chr(45) + chr(56)))(iZxhIPOUGVUW[xafqLlk3kkUe(SXOLrMavuUCe(b'\x1aR\xee>)\xe8o\xcf\xb2'), chr(0b1001010 + 0o32) + chr(0b100010 + 0o103) + '\x63' + chr(0b1101111) + chr(100) + '\x65')(chr(0b1110101) + chr(3466 - 3350) + chr(0b1010001 + 0o25) + chr(1852 - 1807) + chr(2296 - 2240))] == LhfTRmmsrId3):
KLevSQzPmjtZ = ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + '\x31', 8)
(lBVWpm3twnT0, iWSGU7PkZMSJ) = nZpbThUTDLyT(lBVWpm3twnT0, iWSGU7PkZMSJ)
assert xafqLlk3kkUe(lBVWpm3twnT0, xafqLlk3kkUe(SXOLrMavuUCe(b'\x15G\xef\x15\x10\xd0m\xd0\x92\xbc~\x8f'), chr(0b1100100) + '\145' + chr(0b1011111 + 0o4) + chr(0b1101111) + chr(0b110 + 0o136) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(416 - 371) + '\x38'))[ehT0Px3KOsy9(chr(1818 - 1770) + '\x6f' + chr(0b110001), 8)] == xafqLlk3kkUe(iWSGU7PkZMSJ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x15G\xef\x15\x10\xd0m\xd0\x92\xbc~\x8f'), chr(0b1001000 + 0o34) + chr(101) + '\x63' + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(117) + '\164' + chr(0b1110 + 0o130) + '\055' + chr(0b100100 + 0o24)))[ehT0Px3KOsy9(chr(48) + chr(2870 - 2759) + chr(1889 - 1840), 8)]
GTL2dl7112xz = CfVCrMjfY5ZK()
frrRM834AxPo = WqUC3KWvYVup.zeros(lBVWpm3twnT0.nauYfLglTpcb)
t71uu7xyOmlw = WqUC3KWvYVup.zeros(iWSGU7PkZMSJ.nauYfLglTpcb)
NyGHDsihEnMh = WqUC3KWvYVup.zeros(Gmt2Yn1ASYcs.nauYfLglTpcb)
tcCSqQAJDERv = VMeWnVp8PfiR(lBVWpm3twnT0.nauYfLglTpcb[ehT0Px3KOsy9(chr(2018 - 1970) + chr(0b1100110 + 0o11) + chr(0b110001), 8)]) * 1e-06
MYgm7ICDbTHq = iZxhIPOUGVUW.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\x15M\xff)\x06'), chr(0b1001011 + 0o31) + '\145' + '\x63' + chr(0b1010010 + 0o35) + chr(0b1100100) + chr(0b1100101))(chr(0b11 + 0o162) + chr(0b1110100) + chr(0b1100110) + chr(45) + '\x38'), None)
Kbt4AQD25PFQ = iZxhIPOUGVUW.get(xafqLlk3kkUe(SXOLrMavuUCe(b"\x02V\xc5!\x17\xefa\xd9\xa2\x93i\x88'\x1f"), chr(100) + '\x65' + '\x63' + '\x6f' + chr(100) + chr(6128 - 6027))(chr(11328 - 11211) + chr(116) + chr(0b1100110) + '\x2d' + chr(0b111000)), None)
for WVxHKyX45z_L in yOfuilPq_CoP(vQr8gNKaIaWE(c2A0yzQpDQB3(Gmt2Yn1ASYcs)), xafqLlk3kkUe(SXOLrMavuUCe(b')C\xee>\x17\xf5d\xd5\xa8\xab=\x8b;\x19\xec\x17(dr\x9b\xc9\x90\x0b]E\xb8\xd4\xdc\x7f^*\x07'), chr(439 - 339) + chr(0b1100101) + chr(3711 - 3612) + chr(12171 - 12060) + chr(5584 - 5484) + chr(0b1100101))(chr(0b11 + 0o162) + chr(12590 - 12474) + '\x66' + chr(0b100000 + 0o15) + chr(280 - 224))):
if KLevSQzPmjtZ and MYgm7ICDbTHq[WVxHKyX45z_L] == D1OY2tWJy6HK[WVxHKyX45z_L]:
NyGHDsihEnMh[WVxHKyX45z_L] = Kbt4AQD25PFQ[WVxHKyX45z_L]
elif D1OY2tWJy6HK[WVxHKyX45z_L] == xafqLlk3kkUe(LhfTRmmsrId3, xafqLlk3kkUe(SXOLrMavuUCe(b'\x15G\xef\x15\x10\xd0m\xd0\x92\xbc~\x8f'), '\x64' + chr(0b1100101) + chr(0b1010010 + 0o21) + chr(0b1101111) + chr(0b10000 + 0o124) + chr(0b1100101))('\165' + '\x74' + '\x66' + chr(0b101101) + chr(420 - 364)))[ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + '\061', 8)]:
NyGHDsihEnMh[WVxHKyX45z_L] = Tzv4TDowegEA.POyImYQwg5VB(iWSGU7PkZMSJ[WVxHKyX45z_L:WVxHKyX45z_L + ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(0b1000 + 0o51), 8)])[ehT0Px3KOsy9(chr(1685 - 1637) + '\x6f' + chr(0b100010 + 0o16), 8)]
else:
frrRM834AxPo[:] = lBVWpm3twnT0
t71uu7xyOmlw[:] = iWSGU7PkZMSJ
ts8rYws8usJ6 = WqUC3KWvYVup.argsort(-LhfTRmmsrId3[WVxHKyX45z_L, :] + tcCSqQAJDERv)
frrRM834AxPo[:, ts8rYws8usJ6[D1OY2tWJy6HK[WVxHKyX45z_L]:]] = lBVWpm3twnT0[:, ts8rYws8usJ6[D1OY2tWJy6HK[WVxHKyX45z_L]:]].aJhItC_Vawlw()
t71uu7xyOmlw[WVxHKyX45z_L, ts8rYws8usJ6[D1OY2tWJy6HK[WVxHKyX45z_L]:]] = lBVWpm3twnT0[:, ts8rYws8usJ6[D1OY2tWJy6HK[WVxHKyX45z_L]:]].aJhItC_Vawlw()
xafqLlk3kkUe(GTL2dl7112xz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1dO\xee'), '\144' + chr(0b110111 + 0o56) + chr(0b1100011) + '\x6f' + chr(100) + chr(2693 - 2592))(chr(5981 - 5864) + '\164' + chr(102) + chr(0b10 + 0o53) + chr(527 - 471)))(frrRM834AxPo, xz6TaFcNOBti)
NyGHDsihEnMh[WVxHKyX45z_L] = GTL2dl7112xz.POyImYQwg5VB(t71uu7xyOmlw[WVxHKyX45z_L:WVxHKyX45z_L + ehT0Px3KOsy9('\060' + chr(0b1011100 + 0o23) + chr(0b110 + 0o53), 8)])[ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x30', 8)]
iZxhIPOUGVUW[xafqLlk3kkUe(SXOLrMavuUCe(b'\x15M\xff)\x06'), '\x64' + '\x65' + chr(0b1100011) + '\x6f' + '\x64' + chr(0b100110 + 0o77))(chr(117) + chr(0b111101 + 0o67) + chr(102) + chr(1239 - 1194) + '\070')] = D1OY2tWJy6HK
iZxhIPOUGVUW[xafqLlk3kkUe(SXOLrMavuUCe(b"\x02V\xc5!\x17\xefa\xd9\xa2\x93i\x88'\x1f"), chr(4160 - 4060) + chr(0b1100 + 0o131) + chr(0b1010100 + 0o17) + '\x6f' + chr(1689 - 1589) + chr(2945 - 2844))('\x75' + chr(10354 - 10238) + chr(5006 - 4904) + chr(0b101101) + chr(0b11110 + 0o32))] = NyGHDsihEnMh
iZxhIPOUGVUW[xafqLlk3kkUe(SXOLrMavuUCe(b'\x1aR\xee>)\xe8o\xcf\xb2'), '\x64' + chr(7939 - 7838) + '\143' + chr(9434 - 9323) + chr(8818 - 8718) + '\145')('\165' + '\x74' + '\146' + chr(45) + '\070')] = LhfTRmmsrId3
iZxhIPOUGVUW[xafqLlk3kkUe(SXOLrMavuUCe(b'\x1aT\xfd?'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b1010010 + 0o35) + chr(0b1011100 + 0o10) + chr(0b1100101))('\165' + '\x74' + chr(0b10000 + 0o126) + '\055' + '\x38')] = kJDRfRhcZHjS
return UyTbk4dY9zDl(Gmt2Yn1ASYcs, NyGHDsihEnMh)
|
slundberg/shap
|
shap/benchmark/measures.py
|
keep_mask
|
def keep_mask(nkeep, X_train, y_train, X_test, y_test, attr_test, model_generator, metric, trained_model, random_state):
""" The model is revaluated for each test sample with the non-important features set to their mean.
"""
X_train, X_test = to_array(X_train, X_test)
# how many features to mask
assert X_train.shape[1] == X_test.shape[1]
# keep nkeep top features for each test explanation
X_test_tmp = X_test.copy()
yp_masked_test = np.zeros(y_test.shape)
tie_breaking_noise = const_rand(X_train.shape[1], random_state) * 1e-6
mean_vals = X_train.mean(0)
for i in range(len(y_test)):
if nkeep[i] < X_test.shape[1]:
ordering = np.argsort(-attr_test[i,:] + tie_breaking_noise)
X_test_tmp[i,ordering[nkeep[i]:]] = mean_vals[ordering[nkeep[i]:]]
yp_masked_test = trained_model.predict(X_test_tmp)
return metric(y_test, yp_masked_test)
|
python
|
def keep_mask(nkeep, X_train, y_train, X_test, y_test, attr_test, model_generator, metric, trained_model, random_state):
""" The model is revaluated for each test sample with the non-important features set to their mean.
"""
X_train, X_test = to_array(X_train, X_test)
# how many features to mask
assert X_train.shape[1] == X_test.shape[1]
# keep nkeep top features for each test explanation
X_test_tmp = X_test.copy()
yp_masked_test = np.zeros(y_test.shape)
tie_breaking_noise = const_rand(X_train.shape[1], random_state) * 1e-6
mean_vals = X_train.mean(0)
for i in range(len(y_test)):
if nkeep[i] < X_test.shape[1]:
ordering = np.argsort(-attr_test[i,:] + tie_breaking_noise)
X_test_tmp[i,ordering[nkeep[i]:]] = mean_vals[ordering[nkeep[i]:]]
yp_masked_test = trained_model.predict(X_test_tmp)
return metric(y_test, yp_masked_test)
|
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The model is revaluated for each test sample with the non-important features set to their mean.
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b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/measures.py#L260-L281
|
train
|
Keep the top features of each test sample with the non - important features set to their mean.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(111) + '\065' + chr(55), 23894 - 23886), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\x34' + chr(366 - 314), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b101110 + 0o4) + chr(2698 - 2643), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\061' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101010 + 0o7) + '\065' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2435 - 2384) + chr(0b110110) + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b10001 + 0o136) + chr(53) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(575 - 464) + chr(1346 - 1296) + chr(1374 - 1325) + '\065', 53975 - 53967), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11111 + 0o22) + '\x33' + chr(0b10111 + 0o37), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9551 - 9440) + '\x33' + chr(1418 - 1366), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10 + 0o64) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + chr(2022 - 1973) + '\066' + '\x31', 45886 - 45878), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(54) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(108 - 56) + '\x33', 6588 - 6580), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b1011 + 0o46) + chr(1901 - 1853), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b110100) + '\067', 40199 - 40191), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + '\067' + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(0b11000 + 0o127) + chr(0b11111 + 0o26) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x34' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5926 - 5815) + '\066', 33607 - 33599), ehT0Px3KOsy9('\060' + chr(0b1110 + 0o141) + chr(0b110101) + '\x37', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(826 - 776) + chr(48) + chr(0b1011 + 0o46), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(49) + '\x37', 48689 - 48681), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(0b110010) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(49) + chr(0b100000 + 0o25), 8), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(0b110001) + chr(0b110010) + '\x33', 0b1000), ehT0Px3KOsy9(chr(707 - 659) + chr(0b1100010 + 0o15) + '\x31' + chr(0b10010 + 0o37) + chr(0b110101), 11379 - 11371), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(0b110110) + chr(0b100101 + 0o21), 13181 - 13173), ehT0Px3KOsy9(chr(196 - 148) + '\157' + chr(2478 - 2427) + chr(0b101010 + 0o10) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(281 - 233) + chr(0b1101111) + chr(0b10 + 0o64) + chr(0b100000 + 0o27), 37407 - 37399), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1000001 + 0o56) + chr(0b110011) + chr(54) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(0b101000 + 0o13) + '\063' + chr(2091 - 2042), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b110001) + chr(52), 9179 - 9171), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\064' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(302 - 248) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(49) + chr(53), 8), ehT0Px3KOsy9(chr(1269 - 1221) + chr(0b1101111) + chr(0b10011 + 0o40) + chr(54) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\067' + '\065', 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(89 - 38) + chr(0b11110 + 0o23), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(953 - 904) + '\x32' + '\x36', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + '\x35' + chr(1211 - 1163), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x01'), chr(0b1100100) + chr(0b11011 + 0o112) + chr(8793 - 8694) + '\157' + '\x64' + '\145')('\165' + chr(0b1001 + 0o153) + '\146' + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def unpMZhYZ8p9p(D1OY2tWJy6HK, lBVWpm3twnT0, xz6TaFcNOBti, iWSGU7PkZMSJ, Gmt2Yn1ASYcs, LhfTRmmsrId3, CfVCrMjfY5ZK, UyTbk4dY9zDl, Tzv4TDowegEA, KmuRhNvLygn2):
(lBVWpm3twnT0, iWSGU7PkZMSJ) = nZpbThUTDLyT(lBVWpm3twnT0, iWSGU7PkZMSJ)
assert xafqLlk3kkUe(lBVWpm3twnT0, xafqLlk3kkUe(SXOLrMavuUCe(b'A\x05\xe2\x94\n\xbfO\xe1\nlV\x13'), chr(0b110001 + 0o63) + '\145' + chr(0b11001 + 0o112) + chr(0b100 + 0o153) + chr(4599 - 4499) + chr(101))(chr(117) + '\164' + '\x66' + '\x2d' + '\070'))[ehT0Px3KOsy9(chr(48) + chr(0b1101 + 0o142) + '\061', 0o10)] == xafqLlk3kkUe(iWSGU7PkZMSJ, xafqLlk3kkUe(SXOLrMavuUCe(b'A\x05\xe2\x94\n\xbfO\xe1\nlV\x13'), chr(0b1100100) + '\145' + chr(0b1100011) + '\157' + '\x64' + chr(101))(chr(0b11100 + 0o131) + chr(116) + chr(0b10011 + 0o123) + chr(45) + '\070'))[ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49), 8)]
t71uu7xyOmlw = iWSGU7PkZMSJ.igThHS4jwVsa()
NyGHDsihEnMh = WqUC3KWvYVup.zeros(Gmt2Yn1ASYcs.nauYfLglTpcb)
tcCSqQAJDERv = VMeWnVp8PfiR(lBVWpm3twnT0.nauYfLglTpcb[ehT0Px3KOsy9(chr(573 - 525) + chr(0b1101111) + chr(0b100011 + 0o16), 8)], KmuRhNvLygn2) * 1e-06
II9AHhhCIKpA = lBVWpm3twnT0.aJhItC_Vawlw(ehT0Px3KOsy9(chr(1066 - 1018) + chr(111) + '\060', 0o10))
for WVxHKyX45z_L in vQr8gNKaIaWE(c2A0yzQpDQB3(Gmt2Yn1ASYcs)):
if D1OY2tWJy6HK[WVxHKyX45z_L] < xafqLlk3kkUe(iWSGU7PkZMSJ, xafqLlk3kkUe(SXOLrMavuUCe(b'A\x05\xe2\x94\n\xbfO\xe1\nlV\x13'), chr(0b100 + 0o140) + chr(0b1100101) + '\143' + chr(111) + chr(0b1100100) + '\145')(chr(0b110001 + 0o104) + '\164' + chr(0b1100110) + '\055' + '\070'))[ehT0Px3KOsy9(chr(0b110000) + chr(8473 - 8362) + chr(2370 - 2321), 8)]:
ts8rYws8usJ6 = WqUC3KWvYVup.argsort(-LhfTRmmsrId3[WVxHKyX45z_L, :] + tcCSqQAJDERv)
t71uu7xyOmlw[WVxHKyX45z_L, ts8rYws8usJ6[D1OY2tWJy6HK[WVxHKyX45z_L]:]] = II9AHhhCIKpA[ts8rYws8usJ6[D1OY2tWJy6HK[WVxHKyX45z_L]:]]
NyGHDsihEnMh = Tzv4TDowegEA.POyImYQwg5VB(t71uu7xyOmlw)
return UyTbk4dY9zDl(Gmt2Yn1ASYcs, NyGHDsihEnMh)
|
slundberg/shap
|
shap/benchmark/measures.py
|
keep_impute
|
def keep_impute(nkeep, X_train, y_train, X_test, y_test, attr_test, model_generator, metric, trained_model, random_state):
""" The model is revaluated for each test sample with the non-important features set to an imputed value.
Note that the imputation is done using a multivariate normality assumption on the dataset. This depends on
being able to estimate the full data covariance matrix (and inverse) accuractly. So X_train.shape[0] should
be significantly bigger than X_train.shape[1].
"""
X_train, X_test = to_array(X_train, X_test)
# how many features to mask
assert X_train.shape[1] == X_test.shape[1]
# keep nkeep top features for each test explanation
C = np.cov(X_train.T)
C += np.eye(C.shape[0]) * 1e-6
X_test_tmp = X_test.copy()
yp_masked_test = np.zeros(y_test.shape)
tie_breaking_noise = const_rand(X_train.shape[1], random_state) * 1e-6
mean_vals = X_train.mean(0)
for i in range(len(y_test)):
if nkeep[i] < X_test.shape[1]:
ordering = np.argsort(-attr_test[i,:] + tie_breaking_noise)
observe_inds = ordering[:nkeep[i]]
impute_inds = ordering[nkeep[i]:]
# impute missing data assuming it follows a multivariate normal distribution
Coo_inv = np.linalg.inv(C[observe_inds,:][:,observe_inds])
Cio = C[impute_inds,:][:,observe_inds]
impute = mean_vals[impute_inds] + Cio @ Coo_inv @ (X_test[i, observe_inds] - mean_vals[observe_inds])
X_test_tmp[i, impute_inds] = impute
yp_masked_test = trained_model.predict(X_test_tmp)
return metric(y_test, yp_masked_test)
|
python
|
def keep_impute(nkeep, X_train, y_train, X_test, y_test, attr_test, model_generator, metric, trained_model, random_state):
""" The model is revaluated for each test sample with the non-important features set to an imputed value.
Note that the imputation is done using a multivariate normality assumption on the dataset. This depends on
being able to estimate the full data covariance matrix (and inverse) accuractly. So X_train.shape[0] should
be significantly bigger than X_train.shape[1].
"""
X_train, X_test = to_array(X_train, X_test)
# how many features to mask
assert X_train.shape[1] == X_test.shape[1]
# keep nkeep top features for each test explanation
C = np.cov(X_train.T)
C += np.eye(C.shape[0]) * 1e-6
X_test_tmp = X_test.copy()
yp_masked_test = np.zeros(y_test.shape)
tie_breaking_noise = const_rand(X_train.shape[1], random_state) * 1e-6
mean_vals = X_train.mean(0)
for i in range(len(y_test)):
if nkeep[i] < X_test.shape[1]:
ordering = np.argsort(-attr_test[i,:] + tie_breaking_noise)
observe_inds = ordering[:nkeep[i]]
impute_inds = ordering[nkeep[i]:]
# impute missing data assuming it follows a multivariate normal distribution
Coo_inv = np.linalg.inv(C[observe_inds,:][:,observe_inds])
Cio = C[impute_inds,:][:,observe_inds]
impute = mean_vals[impute_inds] + Cio @ Coo_inv @ (X_test[i, observe_inds] - mean_vals[observe_inds])
X_test_tmp[i, impute_inds] = impute
yp_masked_test = trained_model.predict(X_test_tmp)
return metric(y_test, yp_masked_test)
|
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Note that the imputation is done using a multivariate normality assumption on the dataset. This depends on
being able to estimate the full data covariance matrix (and inverse) accuractly. So X_train.shape[0] should
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|
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"."
] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/measures.py#L283-L318
|
train
|
Keeps the imputed value for each test sample.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b101110 + 0o101) + chr(0b10010 + 0o40) + '\x36' + chr(2349 - 2297), 0o10), ehT0Px3KOsy9(chr(2228 - 2180) + chr(0b1101100 + 0o3) + '\x33' + chr(50) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51), 40784 - 40776), ehT0Px3KOsy9('\060' + chr(0b1011110 + 0o21) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(1190 - 1142) + '\157' + chr(1026 - 975) + chr(321 - 266) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110110) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(0b110000) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(6743 - 6632) + chr(0b10 + 0o60) + chr(0b110000) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(1206 - 1158) + '\x6f' + '\066' + chr(1770 - 1721), 23624 - 23616), ehT0Px3KOsy9(chr(48) + chr(12319 - 12208) + '\062' + chr(0b110000 + 0o0) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\x36' + chr(2227 - 2176), 14010 - 14002), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\067' + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\x37' + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1945 - 1894) + chr(1959 - 1909), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b110000) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + chr(1406 - 1357) + chr(2269 - 2215) + chr(1510 - 1457), 0b1000), ehT0Px3KOsy9(chr(2141 - 2093) + '\157' + chr(0b110000 + 0o1) + '\065' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + chr(51) + '\067' + chr(0b110000), 8), ehT0Px3KOsy9('\060' + chr(12258 - 12147) + '\x33' + chr(0b110111) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(0b110000) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(1722 - 1672) + chr(49), 8), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + chr(2234 - 2183) + '\062' + '\x32', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1929 - 1878) + chr(52) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(55) + '\x34', 21316 - 21308), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(2012 - 1901) + chr(0b110001 + 0o0) + chr(51) + chr(54), 0o10), ehT0Px3KOsy9(chr(448 - 400) + chr(0b1101111) + chr(49) + chr(1248 - 1193) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(1115 - 1067) + '\157' + chr(2510 - 2459) + chr(0b110111) + chr(0b100100 + 0o21), 8), ehT0Px3KOsy9(chr(0b110000) + chr(4592 - 4481) + '\x32' + '\x33' + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1573 - 1522) + chr(701 - 651) + chr(0b101010 + 0o6), 594 - 586), ehT0Px3KOsy9(chr(1757 - 1709) + '\157' + chr(1018 - 965) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101100 + 0o3) + '\063' + chr(0b110001) + '\067', 38063 - 38055), ehT0Px3KOsy9('\x30' + '\157' + chr(893 - 845), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b11100 + 0o123) + chr(50) + chr(1759 - 1708) + chr(0b1010 + 0o52), 21586 - 21578), ehT0Px3KOsy9(chr(48) + chr(0b1011101 + 0o22) + chr(49) + '\066' + chr(1135 - 1080), 0o10), ehT0Px3KOsy9(chr(248 - 200) + chr(0b1111 + 0o140) + chr(0b110011) + chr(50) + chr(347 - 299), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(1463 - 1410) + chr(2573 - 2518), 15707 - 15699), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1804 - 1750) + '\060', 40326 - 40318), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + '\061' + chr(0b10010 + 0o41) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + '\062' + '\x35', 9912 - 9904), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101 + 0o54) + chr(1575 - 1526) + chr(0b110111), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(1572 - 1461) + chr(53) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(9547 - 9431) + chr(0b1100110) + '\x2d' + chr(0b11000 + 0o40)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def XJu3lFs0eiMH(D1OY2tWJy6HK, lBVWpm3twnT0, xz6TaFcNOBti, iWSGU7PkZMSJ, Gmt2Yn1ASYcs, LhfTRmmsrId3, CfVCrMjfY5ZK, UyTbk4dY9zDl, Tzv4TDowegEA, KmuRhNvLygn2):
(lBVWpm3twnT0, iWSGU7PkZMSJ) = nZpbThUTDLyT(lBVWpm3twnT0, iWSGU7PkZMSJ)
assert xafqLlk3kkUe(lBVWpm3twnT0, xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\xb0v[\x9ey\xe0\xeae\xf3\xd0\x98'), '\x64' + chr(101) + chr(99) + chr(0b1101111) + '\x64' + chr(101))(chr(0b1110101) + '\x74' + chr(102) + chr(45) + chr(0b111000)))[ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001), 0b1000)] == xafqLlk3kkUe(iWSGU7PkZMSJ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\xb0v[\x9ey\xe0\xeae\xf3\xd0\x98'), chr(100) + chr(0b1100101) + '\x63' + chr(0b1010 + 0o145) + '\x64' + chr(101))(chr(6869 - 6752) + chr(0b1110100) + chr(0b11011 + 0o113) + chr(0b1000 + 0o45) + chr(56)))[ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(11757 - 11646) + '\x31', 8)]
GjrcPZV7TjBn = WqUC3KWvYVup.cov(lBVWpm3twnT0.T)
GjrcPZV7TjBn += WqUC3KWvYVup.eye(GjrcPZV7TjBn.nauYfLglTpcb[ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1000 + 0o50), 8)]) * 1e-06
t71uu7xyOmlw = iWSGU7PkZMSJ.igThHS4jwVsa()
NyGHDsihEnMh = WqUC3KWvYVup.zeros(Gmt2Yn1ASYcs.nauYfLglTpcb)
tcCSqQAJDERv = VMeWnVp8PfiR(lBVWpm3twnT0.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(49), 8)], KmuRhNvLygn2) * 1e-06
II9AHhhCIKpA = lBVWpm3twnT0.aJhItC_Vawlw(ehT0Px3KOsy9(chr(48) + chr(4821 - 4710) + '\x30', 8))
for WVxHKyX45z_L in vQr8gNKaIaWE(c2A0yzQpDQB3(Gmt2Yn1ASYcs)):
if D1OY2tWJy6HK[WVxHKyX45z_L] < xafqLlk3kkUe(iWSGU7PkZMSJ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\xb0v[\x9ey\xe0\xeae\xf3\xd0\x98'), '\x64' + chr(2578 - 2477) + '\x63' + chr(111) + '\144' + '\x65')(chr(8420 - 8303) + chr(116) + chr(234 - 132) + chr(45) + '\x38'))[ehT0Px3KOsy9('\060' + chr(111) + chr(734 - 685), 8)]:
ts8rYws8usJ6 = WqUC3KWvYVup.argsort(-LhfTRmmsrId3[WVxHKyX45z_L, :] + tcCSqQAJDERv)
MIRTfQJz016S = ts8rYws8usJ6[:D1OY2tWJy6HK[WVxHKyX45z_L]]
yd3t6vCJxuhW = ts8rYws8usJ6[D1OY2tWJy6HK[WVxHKyX45z_L]:]
_iNtsfSkOdxP = WqUC3KWvYVup.linalg.inv(GjrcPZV7TjBn[MIRTfQJz016S, :][:, MIRTfQJz016S])
nIgvMnMlBzIg = GjrcPZV7TjBn[yd3t6vCJxuhW, :][:, MIRTfQJz016S]
nnjevpUXu8TD = II9AHhhCIKpA[yd3t6vCJxuhW] + nIgvMnMlBzIg @ _iNtsfSkOdxP @ (iWSGU7PkZMSJ[WVxHKyX45z_L, MIRTfQJz016S] - II9AHhhCIKpA[MIRTfQJz016S])
t71uu7xyOmlw[WVxHKyX45z_L, yd3t6vCJxuhW] = nnjevpUXu8TD
NyGHDsihEnMh = Tzv4TDowegEA.POyImYQwg5VB(t71uu7xyOmlw)
return UyTbk4dY9zDl(Gmt2Yn1ASYcs, NyGHDsihEnMh)
|
slundberg/shap
|
shap/benchmark/measures.py
|
keep_resample
|
def keep_resample(nkeep, X_train, y_train, X_test, y_test, attr_test, model_generator, metric, trained_model, random_state):
""" The model is revaluated for each test sample with the non-important features set to resample background values.
""" # why broken? overwriting?
X_train, X_test = to_array(X_train, X_test)
# how many features to mask
assert X_train.shape[1] == X_test.shape[1]
# how many samples to take
nsamples = 100
# keep nkeep top features for each test explanation
N,M = X_test.shape
X_test_tmp = np.tile(X_test, [1, nsamples]).reshape(nsamples * N, M)
tie_breaking_noise = const_rand(M) * 1e-6
inds = sklearn.utils.resample(np.arange(N), n_samples=nsamples, random_state=random_state)
for i in range(N):
if nkeep[i] < M:
ordering = np.argsort(-attr_test[i,:] + tie_breaking_noise)
X_test_tmp[i*nsamples:(i+1)*nsamples, ordering[nkeep[i]:]] = X_train[inds, :][:, ordering[nkeep[i]:]]
yp_masked_test = trained_model.predict(X_test_tmp)
yp_masked_test = np.reshape(yp_masked_test, (N, nsamples)).mean(1) # take the mean output over all samples
return metric(y_test, yp_masked_test)
|
python
|
def keep_resample(nkeep, X_train, y_train, X_test, y_test, attr_test, model_generator, metric, trained_model, random_state):
""" The model is revaluated for each test sample with the non-important features set to resample background values.
""" # why broken? overwriting?
X_train, X_test = to_array(X_train, X_test)
# how many features to mask
assert X_train.shape[1] == X_test.shape[1]
# how many samples to take
nsamples = 100
# keep nkeep top features for each test explanation
N,M = X_test.shape
X_test_tmp = np.tile(X_test, [1, nsamples]).reshape(nsamples * N, M)
tie_breaking_noise = const_rand(M) * 1e-6
inds = sklearn.utils.resample(np.arange(N), n_samples=nsamples, random_state=random_state)
for i in range(N):
if nkeep[i] < M:
ordering = np.argsort(-attr_test[i,:] + tie_breaking_noise)
X_test_tmp[i*nsamples:(i+1)*nsamples, ordering[nkeep[i]:]] = X_train[inds, :][:, ordering[nkeep[i]:]]
yp_masked_test = trained_model.predict(X_test_tmp)
yp_masked_test = np.reshape(yp_masked_test, (N, nsamples)).mean(1) # take the mean output over all samples
return metric(y_test, yp_masked_test)
|
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",",
"yp_masked_test",
")"
] |
The model is revaluated for each test sample with the non-important features set to resample background values.
|
[
"The",
"model",
"is",
"revaluated",
"for",
"each",
"test",
"sample",
"with",
"the",
"non",
"-",
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"features",
"set",
"to",
"resample",
"background",
"values",
"."
] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/measures.py#L320-L345
|
train
|
Resample the test dataset with the non - important features set to resample background values.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(0b110011) + chr(0b10 + 0o60), 11760 - 11752), ehT0Px3KOsy9(chr(0b110000) + chr(0b101101 + 0o102) + '\061' + '\x33' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + chr(0b110011) + chr(0b100000 + 0o25) + '\x34', 61369 - 61361), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101011 + 0o4) + chr(2727 - 2674) + chr(2671 - 2617), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001 + 0o2) + chr(0b1111 + 0o46) + chr(0b10100 + 0o41), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001000 + 0o47) + '\x31' + '\063' + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100011 + 0o16) + '\x36' + '\x32', 59458 - 59450), ehT0Px3KOsy9(chr(1692 - 1644) + chr(3956 - 3845) + '\062' + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100010 + 0o20) + chr(49) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\065' + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b0 + 0o157) + '\062' + chr(0b110101) + chr(48), 5916 - 5908), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(0b11011 + 0o27) + '\x35' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101001 + 0o106) + '\063' + chr(1098 - 1050), 0o10), ehT0Px3KOsy9('\060' + chr(8833 - 8722) + '\x31' + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + '\061' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10001 + 0o42) + '\061', 18004 - 17996), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1100110 + 0o11) + chr(1037 - 987) + chr(0b110000) + chr(2004 - 1951), 0b1000), ehT0Px3KOsy9('\060' + chr(0b110000 + 0o77) + chr(1837 - 1787) + chr(1603 - 1553) + chr(2155 - 2102), 9766 - 9758), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1211 - 1160) + '\x35' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11110 + 0o121) + chr(50) + chr(0b1010 + 0o54) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1728 - 1680) + chr(0b11101 + 0o122) + chr(50) + '\x31', 0o10), ehT0Px3KOsy9(chr(409 - 361) + '\x6f' + chr(49) + '\061', 8), ehT0Px3KOsy9(chr(1582 - 1534) + chr(111) + chr(54) + chr(629 - 578), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(0b100 + 0o56) + '\063' + chr(0b110111 + 0o0), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111110 + 0o61) + chr(0b11000 + 0o33) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(0b110100) + chr(0b1001 + 0o50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001), 22986 - 22978), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(2255 - 2201) + chr(49), 34324 - 34316), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110 + 0o53) + '\067' + '\x36', 35072 - 35064), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\x31' + chr(1794 - 1740), ord("\x08")), ehT0Px3KOsy9('\060' + chr(9268 - 9157) + chr(0b1010 + 0o47) + chr(0b110111) + '\062', 43908 - 43900), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + '\065' + '\060', 8), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + chr(1239 - 1188) + chr(0b101001 + 0o16) + '\x32', 52281 - 52273), ehT0Px3KOsy9(chr(48) + chr(8559 - 8448) + chr(0b110010) + '\064' + '\x33', 9174 - 9166), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b1010 + 0o47) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(2184 - 2136) + '\157' + chr(0b110111) + '\x34', 0b1000), ehT0Px3KOsy9(chr(226 - 178) + chr(0b1101111) + chr(0b110010) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10224 - 10113) + '\062' + chr(0b110010) + chr(55), 23216 - 23208), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\065', 8), ehT0Px3KOsy9(chr(1573 - 1525) + chr(111) + chr(49) + '\x37' + chr(0b101011 + 0o14), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + chr(53) + chr(0b11110 + 0o22), 6792 - 6784)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'4'), chr(0b1011001 + 0o13) + chr(7131 - 7030) + chr(0b1010001 + 0o22) + chr(5714 - 5603) + chr(100) + '\145')(chr(0b1110101) + chr(0b1110010 + 0o2) + '\146' + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def MnC_4yVyOIE5(D1OY2tWJy6HK, lBVWpm3twnT0, xz6TaFcNOBti, iWSGU7PkZMSJ, Gmt2Yn1ASYcs, LhfTRmmsrId3, CfVCrMjfY5ZK, UyTbk4dY9zDl, Tzv4TDowegEA, KmuRhNvLygn2):
(lBVWpm3twnT0, iWSGU7PkZMSJ) = nZpbThUTDLyT(lBVWpm3twnT0, iWSGU7PkZMSJ)
assert xafqLlk3kkUe(lBVWpm3twnT0, xafqLlk3kkUe(SXOLrMavuUCe(b't:\x99w\x8b\x12\x15y\xdb\xdb\xcb\xcc'), '\144' + '\145' + chr(0b11000 + 0o113) + chr(0b1100010 + 0o15) + chr(100) + chr(0b1111 + 0o126))('\x75' + '\164' + chr(102) + chr(0b101101) + chr(56)))[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061', 8)] == xafqLlk3kkUe(iWSGU7PkZMSJ, xafqLlk3kkUe(SXOLrMavuUCe(b't:\x99w\x8b\x12\x15y\xdb\xdb\xcb\xcc'), chr(0b1000100 + 0o40) + chr(101) + chr(99) + '\x6f' + '\x64' + chr(101))(chr(117) + '\x74' + chr(102) + chr(45) + chr(223 - 167)))[ehT0Px3KOsy9('\x30' + chr(111) + '\x31', 8)]
ZCJSp_jsrQSL = ehT0Px3KOsy9('\x30' + chr(0b1010 + 0o145) + chr(49) + chr(0b110100) + chr(0b10110 + 0o36), 17109 - 17101)
(vn4sOrFiSB4c, ed0oVQ7n0Y_q) = iWSGU7PkZMSJ.nauYfLglTpcb
t71uu7xyOmlw = WqUC3KWvYVup.tile(iWSGU7PkZMSJ, [ehT0Px3KOsy9('\x30' + '\157' + chr(1261 - 1212), 8), ZCJSp_jsrQSL]).reshape(ZCJSp_jsrQSL * vn4sOrFiSB4c, ed0oVQ7n0Y_q)
tcCSqQAJDERv = VMeWnVp8PfiR(ed0oVQ7n0Y_q) * 1e-06
HP9YF4VVcIuY = U_a7OzgTlwvr.utils.resample(WqUC3KWvYVup.arange(vn4sOrFiSB4c), n_samples=ZCJSp_jsrQSL, random_state=KmuRhNvLygn2)
for WVxHKyX45z_L in vQr8gNKaIaWE(vn4sOrFiSB4c):
if D1OY2tWJy6HK[WVxHKyX45z_L] < ed0oVQ7n0Y_q:
ts8rYws8usJ6 = WqUC3KWvYVup.argsort(-LhfTRmmsrId3[WVxHKyX45z_L, :] + tcCSqQAJDERv)
t71uu7xyOmlw[WVxHKyX45z_L * ZCJSp_jsrQSL:(WVxHKyX45z_L + ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + '\061', 8)) * ZCJSp_jsrQSL, ts8rYws8usJ6[D1OY2tWJy6HK[WVxHKyX45z_L]:]] = lBVWpm3twnT0[HP9YF4VVcIuY, :][:, ts8rYws8usJ6[D1OY2tWJy6HK[WVxHKyX45z_L]:]]
NyGHDsihEnMh = Tzv4TDowegEA.POyImYQwg5VB(t71uu7xyOmlw)
NyGHDsihEnMh = WqUC3KWvYVup.reshape(NyGHDsihEnMh, (vn4sOrFiSB4c, ZCJSp_jsrQSL)).aJhItC_Vawlw(ehT0Px3KOsy9('\060' + chr(0b1001101 + 0o42) + chr(0b110001), 8))
return UyTbk4dY9zDl(Gmt2Yn1ASYcs, NyGHDsihEnMh)
|
slundberg/shap
|
shap/benchmark/measures.py
|
local_accuracy
|
def local_accuracy(X_train, y_train, X_test, y_test, attr_test, model_generator, metric, trained_model):
""" The how well do the features plus a constant base rate sum up to the model output.
"""
X_train, X_test = to_array(X_train, X_test)
# how many features to mask
assert X_train.shape[1] == X_test.shape[1]
# keep nkeep top features and re-train the model for each test explanation
yp_test = trained_model.predict(X_test)
return metric(yp_test, strip_list(attr_test).sum(1))
|
python
|
def local_accuracy(X_train, y_train, X_test, y_test, attr_test, model_generator, metric, trained_model):
""" The how well do the features plus a constant base rate sum up to the model output.
"""
X_train, X_test = to_array(X_train, X_test)
# how many features to mask
assert X_train.shape[1] == X_test.shape[1]
# keep nkeep top features and re-train the model for each test explanation
yp_test = trained_model.predict(X_test)
return metric(yp_test, strip_list(attr_test).sum(1))
|
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The how well do the features plus a constant base rate sum up to the model output.
|
[
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] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/measures.py#L384-L396
|
train
|
Local accuracy metric.
|
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(0b10011 + 0o40) + '\063' + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(0b100011 + 0o20) + chr(50), 45960 - 45952), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + chr(0b110010) + chr(3023 - 2968) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(54) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10110 + 0o131) + '\061' + '\066' + chr(1916 - 1863), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(678 - 629) + chr(0b110100) + chr(0b1110 + 0o43), 56739 - 56731), ehT0Px3KOsy9('\060' + chr(1195 - 1084) + '\x32' + chr(52) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(1641 - 1592) + '\x35' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(942 - 894) + chr(0b1101111) + chr(49) + chr(0b10011 + 0o36) + chr(1657 - 1609), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100100 + 0o13) + chr(0b110010) + chr(0b110000) + chr(0b11000 + 0o32), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b1100 + 0o47) + chr(0b1010 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(0b110010) + '\x36' + chr(0b110111), 56997 - 56989), ehT0Px3KOsy9('\x30' + chr(0b1011 + 0o144) + chr(0b11101 + 0o30) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(11368 - 11257) + chr(0b110001) + chr(0b110100) + chr(49), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000101 + 0o52) + chr(0b11001 + 0o32) + chr(0b110011) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1248 - 1137) + chr(0b110011) + '\x32' + '\061', 0o10), ehT0Px3KOsy9(chr(606 - 558) + chr(0b1101111) + chr(0b110011) + chr(0b110110) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(3431 - 3320) + '\x32' + '\066' + chr(1137 - 1085), 0b1000), ehT0Px3KOsy9('\060' + chr(6139 - 6028) + chr(0b110011) + '\x34' + chr(0b110110), 605 - 597), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b111000 + 0o67) + '\x33' + '\x31' + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(2984 - 2873) + chr(2636 - 2582) + chr(0b10100 + 0o34), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(520 - 471) + chr(49) + chr(1333 - 1278), 0o10), ehT0Px3KOsy9(chr(1447 - 1399) + chr(6357 - 6246) + chr(0b110010) + chr(0b110100 + 0o3) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + chr(49), 0b1000), ehT0Px3KOsy9(chr(1641 - 1593) + '\157' + chr(51) + chr(1256 - 1207) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(1476 - 1422) + chr(0b11011 + 0o27), 25627 - 25619), ehT0Px3KOsy9(chr(1514 - 1466) + chr(0b1110 + 0o141) + chr(50) + '\x37' + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(2604 - 2552) + chr(1347 - 1293), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10011 + 0o36) + chr(0b100110 + 0o15), 62244 - 62236), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(54) + chr(0b110111), 8), ehT0Px3KOsy9('\060' + chr(12182 - 12071) + '\063' + chr(1082 - 1033) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(578 - 530) + chr(0b101010 + 0o105) + chr(49) + '\064' + chr(0b1111 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7465 - 7354) + '\062' + chr(2080 - 2030) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\067' + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + chr(5898 - 5787) + '\x32' + '\x33' + '\065', 0o10), ehT0Px3KOsy9(chr(778 - 730) + chr(7158 - 7047) + chr(1776 - 1726) + '\x33' + chr(0b110100), 58893 - 58885), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(50) + chr(0b100110 + 0o14) + chr(49), 29272 - 29264), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\x36' + chr(1109 - 1057), 8), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(819 - 768) + chr(51) + chr(0b110000), 8), ehT0Px3KOsy9(chr(2261 - 2213) + chr(3469 - 3358) + chr(0b100101 + 0o15) + chr(216 - 167) + '\x36', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(6705 - 6594) + chr(0b1101 + 0o50) + chr(0b11110 + 0o22), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0'), chr(547 - 447) + '\x65' + chr(8645 - 8546) + chr(111) + chr(0b11100 + 0o110) + chr(3567 - 3466))(chr(2120 - 2003) + chr(0b1011101 + 0o27) + chr(0b110 + 0o140) + chr(510 - 465) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Jt22kY7zxz7N(lBVWpm3twnT0, xz6TaFcNOBti, iWSGU7PkZMSJ, Gmt2Yn1ASYcs, LhfTRmmsrId3, CfVCrMjfY5ZK, UyTbk4dY9zDl, Tzv4TDowegEA):
(lBVWpm3twnT0, iWSGU7PkZMSJ) = nZpbThUTDLyT(lBVWpm3twnT0, iWSGU7PkZMSJ)
assert xafqLlk3kkUe(lBVWpm3twnT0, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\xbb\xc8\xac\x13-\xc2\x04\x1c\xf2\xba\xd5'), '\144' + '\x65' + chr(0b1100011) + chr(111) + chr(100) + chr(1811 - 1710))('\165' + chr(9338 - 9222) + chr(3663 - 3561) + chr(45) + chr(0b100010 + 0o26)))[ehT0Px3KOsy9(chr(1942 - 1894) + chr(0b1101111) + chr(49), 8)] == xafqLlk3kkUe(iWSGU7PkZMSJ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\xbb\xc8\xac\x13-\xc2\x04\x1c\xf2\xba\xd5'), chr(100) + chr(101) + chr(5763 - 5664) + chr(0b110000 + 0o77) + chr(0b101001 + 0o73) + chr(0b1010010 + 0o23))(chr(117) + chr(116) + chr(0b1100110) + chr(0b10010 + 0o33) + '\x38'))[ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001), 8)]
NLOVuOun8A2_ = Tzv4TDowegEA.POyImYQwg5VB(iWSGU7PkZMSJ)
return UyTbk4dY9zDl(NLOVuOun8A2_, xafqLlk3kkUe(mwdgfvn2VFIw(LhfTRmmsrId3), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\xb1\xc5\xb7\x18\x0e\x91Q0\xb0\x98\xd9'), chr(0b1100100) + chr(8809 - 8708) + chr(0b1100011) + '\157' + chr(3204 - 3104) + '\145')('\x75' + chr(10104 - 9988) + chr(0b1100110) + '\055' + '\x38'))(ehT0Px3KOsy9('\060' + chr(1704 - 1593) + chr(0b110001), 8)))
|
slundberg/shap
|
shap/benchmark/measures.py
|
const_rand
|
def const_rand(size, seed=23980):
""" Generate a random array with a fixed seed.
"""
old_seed = np.random.seed()
np.random.seed(seed)
out = np.random.rand(size)
np.random.seed(old_seed)
return out
|
python
|
def const_rand(size, seed=23980):
""" Generate a random array with a fixed seed.
"""
old_seed = np.random.seed()
np.random.seed(seed)
out = np.random.rand(size)
np.random.seed(old_seed)
return out
|
[
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",",
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"23980",
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":",
"old_seed",
"=",
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"random",
".",
"seed",
"(",
")",
"np",
".",
"random",
".",
"seed",
"(",
"seed",
")",
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"=",
"np",
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".",
"rand",
"(",
"size",
")",
"np",
".",
"random",
".",
"seed",
"(",
"old_seed",
")",
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] |
Generate a random array with a fixed seed.
|
[
"Generate",
"a",
"random",
"array",
"with",
"a",
"fixed",
"seed",
"."
] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/measures.py#L401-L408
|
train
|
Generate a random array with a fixed seed.
|
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(0b1011111 + 0o20) + chr(1397 - 1347) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(305 - 250) + '\062', 48481 - 48473), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(579 - 530) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\060' + chr(55), 0o10), ehT0Px3KOsy9(chr(929 - 881) + chr(0b1100111 + 0o10) + chr(49) + '\x35' + chr(1982 - 1934), ord("\x08")), ehT0Px3KOsy9(chr(259 - 211) + '\x6f' + chr(50) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010000 + 0o37) + chr(1141 - 1091) + '\x37' + chr(1289 - 1241), 26617 - 26609), ehT0Px3KOsy9('\060' + chr(5658 - 5547) + '\x31' + '\x30' + chr(0b110011), 9693 - 9685), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + '\063' + chr(469 - 415) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(1968 - 1857) + chr(0b110001) + chr(897 - 843) + '\x31', 24224 - 24216), ehT0Px3KOsy9(chr(290 - 242) + '\157' + '\061' + chr(48) + chr(2194 - 2141), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101011 + 0o4) + chr(1812 - 1760) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(10302 - 10191) + chr(0b110010) + chr(55) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110001 + 0o76) + chr(0b1000 + 0o51) + chr(0b10010 + 0o37) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\066' + chr(0b110010), 49581 - 49573), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b100000 + 0o117) + '\063' + chr(932 - 882), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b111 + 0o52) + chr(0b100111 + 0o17) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\x6f' + chr(0b101111 + 0o1), 0b1000), ehT0Px3KOsy9(chr(989 - 941) + chr(0b1101111) + chr(0b11111 + 0o24) + '\061' + chr(0b101 + 0o61), 0o10), ehT0Px3KOsy9(chr(372 - 324) + chr(8682 - 8571) + chr(0b100100 + 0o17) + chr(0b110001) + chr(55), 12814 - 12806), ehT0Px3KOsy9(chr(1141 - 1093) + '\157' + chr(1982 - 1931) + chr(0b11001 + 0o27), 4964 - 4956), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + '\x32' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b11100 + 0o25) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b10100 + 0o37) + chr(0b100100 + 0o22), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(160 - 49) + chr(1526 - 1475), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x34' + chr(1591 - 1543), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51), 8), ehT0Px3KOsy9('\060' + chr(6347 - 6236) + '\x31' + chr(0b101110 + 0o11) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(2127 - 2074) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\063' + chr(0b100 + 0o61), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001001 + 0o46) + chr(0b110001) + chr(55) + '\066', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b110001) + chr(0b100000 + 0o24), 15050 - 15042), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + '\x30' + chr(1309 - 1259), 0o10), ehT0Px3KOsy9(chr(2193 - 2145) + '\x6f' + '\063' + chr(0b110000) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1110 + 0o141) + '\061' + chr(0b111 + 0o57) + chr(51), 30697 - 30689), ehT0Px3KOsy9('\060' + chr(1411 - 1300) + chr(1265 - 1216) + chr(0b110011) + chr(0b1011 + 0o51), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + '\x33' + chr(0b11100 + 0o25), 0o10), ehT0Px3KOsy9('\x30' + chr(4429 - 4318) + '\063' + chr(0b110000) + chr(0b110010 + 0o4), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2403 - 2353) + chr(49) + '\x31', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(11287 - 11176) + '\065' + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'8'), chr(0b10101 + 0o117) + chr(0b1100101) + '\x63' + chr(6937 - 6826) + chr(0b10100 + 0o120) + '\x65')(chr(9297 - 9180) + chr(116) + '\x66' + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def VMeWnVp8PfiR(NLcc3BCJnQka, cEhryM0YPR0h=ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(2085 - 1974) + chr(0b110101) + '\x36' + '\066' + '\x35' + chr(1576 - 1524), 0b1000)):
j_gGRFcb6_BR = WqUC3KWvYVup.random.seed()
xafqLlk3kkUe(WqUC3KWvYVup.random, xafqLlk3kkUe(SXOLrMavuUCe(b'e\x1f\xe8\xe3'), chr(0b1001000 + 0o34) + '\145' + '\143' + chr(2318 - 2207) + chr(3416 - 3316) + chr(0b100010 + 0o103))(chr(117) + chr(0b110100 + 0o100) + chr(476 - 374) + '\055' + chr(2670 - 2614)))(cEhryM0YPR0h)
UkrMp_I0RDmo = WqUC3KWvYVup.random.rand(NLcc3BCJnQka)
xafqLlk3kkUe(WqUC3KWvYVup.random, xafqLlk3kkUe(SXOLrMavuUCe(b'e\x1f\xe8\xe3'), '\x64' + chr(101) + chr(4878 - 4779) + chr(0b1101111) + chr(100) + '\145')(chr(0b1110101) + '\x74' + chr(0b1010011 + 0o23) + '\x2d' + chr(1197 - 1141)))(j_gGRFcb6_BR)
return UkrMp_I0RDmo
|
slundberg/shap
|
shap/benchmark/measures.py
|
const_shuffle
|
def const_shuffle(arr, seed=23980):
""" Shuffle an array in-place with a fixed seed.
"""
old_seed = np.random.seed()
np.random.seed(seed)
np.random.shuffle(arr)
np.random.seed(old_seed)
|
python
|
def const_shuffle(arr, seed=23980):
""" Shuffle an array in-place with a fixed seed.
"""
old_seed = np.random.seed()
np.random.seed(seed)
np.random.shuffle(arr)
np.random.seed(old_seed)
|
[
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"arr",
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"=",
"23980",
")",
":",
"old_seed",
"=",
"np",
".",
"random",
".",
"seed",
"(",
")",
"np",
".",
"random",
".",
"seed",
"(",
"seed",
")",
"np",
".",
"random",
".",
"shuffle",
"(",
"arr",
")",
"np",
".",
"random",
".",
"seed",
"(",
"old_seed",
")"
] |
Shuffle an array in-place with a fixed seed.
|
[
"Shuffle",
"an",
"array",
"in",
"-",
"place",
"with",
"a",
"fixed",
"seed",
"."
] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/measures.py#L410-L416
|
train
|
Shuffle an array in - place with a fixed seed.
|
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(2132 - 2084) + chr(111) + '\062' + chr(0b10 + 0o57) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(8542 - 8431) + chr(0b10000 + 0o44) + chr(0b11 + 0o62), 0o10), ehT0Px3KOsy9(chr(48) + chr(10930 - 10819) + chr(50) + '\062' + chr(0b110010 + 0o0), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001001 + 0o46) + chr(938 - 887) + chr(179 - 124) + chr(0b110010), 3969 - 3961), ehT0Px3KOsy9(chr(2139 - 2091) + '\157' + chr(0b110010) + chr(0b110101) + chr(838 - 788), 0o10), ehT0Px3KOsy9(chr(1668 - 1620) + chr(8573 - 8462) + chr(1503 - 1454) + '\x35' + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\066' + '\067', 33741 - 33733), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(49) + chr(0b10100 + 0o35), 0b1000), ehT0Px3KOsy9(chr(48) + chr(6527 - 6416) + chr(52) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\063', 0o10), ehT0Px3KOsy9('\x30' + chr(0b111110 + 0o61) + chr(1824 - 1775) + '\x36' + '\x36', 0b1000), ehT0Px3KOsy9(chr(905 - 857) + chr(0b1101111 + 0o0) + chr(0b110001) + '\065' + '\x35', 8), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(1162 - 1114) + chr(693 - 638), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(171 - 122) + chr(55), 64599 - 64591), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2303 - 2252) + chr(52) + '\x37', 9807 - 9799), ehT0Px3KOsy9(chr(0b110000) + chr(7269 - 7158) + chr(128 - 78) + '\x33' + '\067', 3244 - 3236), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(0b110010) + '\x31' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3184 - 3073) + chr(0b110000 + 0o2) + '\x32' + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2277 - 2227) + chr(0b100011 + 0o20) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010000 + 0o37) + '\x32' + '\065' + chr(0b10110 + 0o36), 52909 - 52901), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(1520 - 1467) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101100 + 0o3) + '\x32' + chr(0b110011 + 0o4) + '\061', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110110) + chr(0b11010 + 0o26), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(2276 - 2227) + chr(802 - 751) + chr(2334 - 2285), 0b1000), ehT0Px3KOsy9(chr(48) + chr(5435 - 5324) + '\066' + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1794 - 1744) + chr(860 - 807) + '\x34', 8), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b10110 + 0o131) + '\063' + '\x36' + chr(0b1011 + 0o52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(55) + '\x34', 20641 - 20633), ehT0Px3KOsy9(chr(1932 - 1884) + chr(0b1101111) + chr(0b110001) + chr(700 - 646) + chr(54), 8), ehT0Px3KOsy9(chr(1313 - 1265) + '\x6f' + '\x33' + chr(52) + '\x37', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(2653 - 2599), 0o10), ehT0Px3KOsy9(chr(48) + chr(9228 - 9117) + chr(0b110001) + chr(0b110011) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(1186 - 1075) + chr(54) + chr(195 - 147), 8), ehT0Px3KOsy9(chr(677 - 629) + '\157' + '\x31' + chr(2246 - 2195) + chr(53), 32144 - 32136), ehT0Px3KOsy9(chr(1778 - 1730) + chr(111) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + '\066' + chr(1041 - 993), 54658 - 54650), ehT0Px3KOsy9('\060' + chr(5330 - 5219) + chr(50) + chr(0b11110 + 0o24) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(0b10 + 0o63), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(2489 - 2435) + chr(48), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110101) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5'), chr(100) + chr(0b1100101) + chr(99) + chr(111) + chr(100) + chr(0b1100101))(chr(117) + chr(0b11000 + 0o134) + chr(4638 - 4536) + chr(0b11100 + 0o21) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def NuXnwUTYcS_A(ZxkNvNvuRNy5, cEhryM0YPR0h=ehT0Px3KOsy9('\060' + '\x6f' + '\065' + chr(2303 - 2249) + '\066' + chr(496 - 443) + chr(0b110001 + 0o3), 0o10)):
j_gGRFcb6_BR = WqUC3KWvYVup.random.seed()
xafqLlk3kkUe(WqUC3KWvYVup.random, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8@\xf7\x9e'), chr(0b1100100) + '\x65' + chr(99) + chr(11917 - 11806) + chr(7636 - 7536) + chr(0b1100101))(chr(734 - 617) + chr(0b1110100) + '\146' + '\x2d' + chr(0b111000)))(cEhryM0YPR0h)
xafqLlk3kkUe(WqUC3KWvYVup.random, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8M\xe7\x9c\xcc\x01\x12'), chr(0b101100 + 0o70) + chr(101) + '\143' + chr(10695 - 10584) + '\x64' + chr(0b1100101))(chr(8418 - 8301) + chr(116) + chr(0b111010 + 0o54) + chr(0b101101) + chr(2972 - 2916)))(ZxkNvNvuRNy5)
xafqLlk3kkUe(WqUC3KWvYVup.random, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8@\xf7\x9e'), chr(0b1100100) + '\145' + '\143' + '\157' + chr(392 - 292) + '\145')('\x75' + '\x74' + chr(6866 - 6764) + chr(0b101101) + chr(0b10101 + 0o43)))(j_gGRFcb6_BR)
|
slundberg/shap
|
shap/explainers/mimic.py
|
MimicExplainer.shap_values
|
def shap_values(self, X, **kwargs):
""" Estimate the SHAP values for a set of samples.
Parameters
----------
X : numpy.array or pandas.DataFrame
A matrix of samples (# samples x # features) on which to explain the model's output.
Returns
-------
For a models with a single output this returns a matrix of SHAP values
(# samples x # features + 1). The last column is the base value of the model, which is
the expected value of the model applied to the background dataset. This causes each row to
sum to the model output for that sample. For models with vector outputs this returns a list
of such matrices, one for each output.
"""
phi = None
if self.mimic_model_type == "xgboost":
if not str(type(X)).endswith("xgboost.core.DMatrix'>"):
X = xgboost.DMatrix(X)
phi = self.trees.predict(X, pred_contribs=True)
if phi is not None:
if len(phi.shape) == 3:
return [phi[:, i, :] for i in range(phi.shape[1])]
else:
return phi
|
python
|
def shap_values(self, X, **kwargs):
""" Estimate the SHAP values for a set of samples.
Parameters
----------
X : numpy.array or pandas.DataFrame
A matrix of samples (# samples x # features) on which to explain the model's output.
Returns
-------
For a models with a single output this returns a matrix of SHAP values
(# samples x # features + 1). The last column is the base value of the model, which is
the expected value of the model applied to the background dataset. This causes each row to
sum to the model output for that sample. For models with vector outputs this returns a list
of such matrices, one for each output.
"""
phi = None
if self.mimic_model_type == "xgboost":
if not str(type(X)).endswith("xgboost.core.DMatrix'>"):
X = xgboost.DMatrix(X)
phi = self.trees.predict(X, pred_contribs=True)
if phi is not None:
if len(phi.shape) == 3:
return [phi[:, i, :] for i in range(phi.shape[1])]
else:
return phi
|
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] |
Estimate the SHAP values for a set of samples.
Parameters
----------
X : numpy.array or pandas.DataFrame
A matrix of samples (# samples x # features) on which to explain the model's output.
Returns
-------
For a models with a single output this returns a matrix of SHAP values
(# samples x # features + 1). The last column is the base value of the model, which is
the expected value of the model applied to the background dataset. This causes each row to
sum to the model output for that sample. For models with vector outputs this returns a list
of such matrices, one for each output.
|
[
"Estimate",
"the",
"SHAP",
"values",
"for",
"a",
"set",
"of",
"samples",
"."
] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/explainers/mimic.py#L75-L102
|
train
|
Estimate the SHAP values for a set of samples.
|
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(0b1000001 + 0o56) + chr(0b110011) + chr(50) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(2174 - 2120) + chr(0b110110), 60591 - 60583), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1001110 + 0o41) + chr(50) + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b110001 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(2140 - 2092) + '\x6f' + chr(0b11000 + 0o32) + chr(0b101001 + 0o14) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b111001 + 0o66) + '\062' + '\066' + chr(2514 - 2459), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3999 - 3888) + '\063' + chr(0b110010) + '\061', 0o10), ehT0Px3KOsy9(chr(768 - 720) + chr(111) + chr(0b10111 + 0o32) + chr(51) + chr(0b11001 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(1894 - 1846) + chr(111) + '\064' + chr(0b100 + 0o54), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(51) + chr(51) + chr(1919 - 1869), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010100 + 0o33) + chr(537 - 488) + chr(52) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(5162 - 5051) + '\x32' + chr(0b110100) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b11 + 0o154) + chr(2405 - 2350) + chr(2105 - 2053), ord("\x08")), ehT0Px3KOsy9(chr(1406 - 1358) + chr(0b1101111) + '\061' + chr(0b110110) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1010111 + 0o30) + chr(51) + chr(2794 - 2740) + '\x32', 0o10), ehT0Px3KOsy9(chr(824 - 776) + chr(12172 - 12061) + chr(50) + chr(0b110100) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1295 - 1241) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110110) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + chr(0b110100) + chr(2003 - 1949), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(0b110001) + chr(881 - 832) + chr(1874 - 1824), 17978 - 17970), ehT0Px3KOsy9('\060' + chr(1271 - 1160) + chr(75 - 24) + '\067' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(172 - 124) + chr(5032 - 4921) + '\x33' + '\064' + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101110 + 0o101) + '\x31' + chr(0b110 + 0o56) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(2604 - 2551) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100000 + 0o23) + '\x33' + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(0b100011 + 0o114) + chr(55) + chr(0b110011), 46782 - 46774), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110110 + 0o1) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(1967 - 1917) + chr(48) + chr(2425 - 2370), ord("\x08")), ehT0Px3KOsy9(chr(1746 - 1698) + chr(0b1011110 + 0o21) + '\x33' + chr(53) + chr(0b11101 + 0o32), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\x32' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(1773 - 1725) + '\067', 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(55) + chr(0b101111 + 0o7), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1001001 + 0o46) + chr(0b101101 + 0o12) + chr(0b10001 + 0o40), 0b1000), ehT0Px3KOsy9(chr(899 - 851) + chr(111) + chr(2200 - 2146) + chr(0b110111), 20316 - 20308), ehT0Px3KOsy9(chr(462 - 414) + chr(0b1101111) + chr(0b110011) + chr(55) + '\x34', 30540 - 30532), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b101000 + 0o16) + chr(0b100100 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1444 - 1393) + chr(0b100110 + 0o15) + '\x33', 36385 - 36377), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100011 + 0o17) + '\066' + '\067', 8), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(11352 - 11241) + chr(0b110001) + chr(0b101111 + 0o1) + '\x36', 62255 - 62247)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + chr(53) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb'), chr(100) + '\145' + '\143' + chr(0b10 + 0o155) + '\144' + '\145')(chr(3243 - 3126) + '\x74' + chr(102) + '\x2d' + chr(2511 - 2455)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def B6TQhWekbimD(oVre8I6UXc3b, xEgrFJ0REugl, **M8EIoTs2GJXE):
IOGtkN7op9UY = None
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8_~c\xcd\xe8\xbc4D\xbf\x0f\xfaH\x0e\x82\xc7'), chr(100) + chr(9648 - 9547) + chr(0b101011 + 0o70) + '\157' + '\x64' + chr(101))('\x75' + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b111000))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xadQqe\xc1\xc4\xa5'), '\x64' + chr(8828 - 8727) + '\143' + chr(0b1011000 + 0o27) + chr(0b1100100) + '\145')(chr(0b1110101) + '\x74' + '\x66' + '\x2d' + chr(56)):
if not xafqLlk3kkUe(M8_cKLkHVB2V(wmQmyeWBmUpv(xEgrFJ0REugl)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0Xwy\xd9\xde\xa53'), chr(0b1101 + 0o127) + chr(1652 - 1551) + chr(0b11 + 0o140) + chr(0b1000 + 0o147) + '\144' + '\145')(chr(5098 - 4981) + '\x74' + chr(1693 - 1591) + chr(0b101101) + chr(1827 - 1771)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xadQqe\xc1\xc4\xa5uC\xb5\x11\xc0\x123\xbf\xc3A\x06O2\xdd\xdb'), '\144' + chr(101) + chr(0b1000100 + 0o37) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(0b1011100 + 0o30) + chr(0b1100110) + chr(0b101011 + 0o2) + chr(0b110101 + 0o3))):
xEgrFJ0REugl = NKmEqkybnax6.DMatrix(xEgrFJ0REugl)
IOGtkN7op9UY = oVre8I6UXc3b.trees.POyImYQwg5VB(xEgrFJ0REugl, pred_contribs=ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b111011 + 0o64) + chr(0b100111 + 0o12), ord("\x08")))
if IOGtkN7op9UY is not None:
if c2A0yzQpDQB3(xafqLlk3kkUe(IOGtkN7op9UY, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbbWfS\xc8\xfb\xb67t\xaa\x00\xc7'), chr(9966 - 9866) + '\145' + chr(0b111001 + 0o52) + '\x6f' + chr(0b1100100) + chr(0b1100101))('\x75' + chr(116) + '\x66' + '\055' + chr(0b11001 + 0o37)))) == ehT0Px3KOsy9(chr(1870 - 1822) + '\157' + chr(0b110011), 0o10):
return [IOGtkN7op9UY[:, WVxHKyX45z_L, :] for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(IOGtkN7op9UY, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbbWfS\xc8\xfb\xb67t\xaa\x00\xc7'), '\x64' + '\145' + '\143' + chr(0b11100 + 0o123) + '\144' + chr(9129 - 9028))(chr(578 - 461) + chr(0b1110100) + chr(9452 - 9350) + '\x2d' + chr(0b111000)))[ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + '\x31', 8)])]
else:
return IOGtkN7op9UY
|
slundberg/shap
|
shap/plots/image.py
|
image_plot
|
def image_plot(shap_values, x, labels=None, show=True, width=20, aspect=0.2, hspace=0.2, labelpad=None):
""" Plots SHAP values for image inputs.
"""
multi_output = True
if type(shap_values) != list:
multi_output = False
shap_values = [shap_values]
# make sure labels
if labels is not None:
assert labels.shape[0] == shap_values[0].shape[0], "Labels must have same row count as shap_values arrays!"
if multi_output:
assert labels.shape[1] == len(shap_values), "Labels must have a column for each output in shap_values!"
else:
assert len(labels.shape) == 1, "Labels must be a vector for single output shap_values."
label_kwargs = {} if labelpad is None else {'pad': labelpad}
# plot our explanations
fig_size = np.array([3 * (len(shap_values) + 1), 2.5 * (x.shape[0] + 1)])
if fig_size[0] > width:
fig_size *= width / fig_size[0]
fig, axes = pl.subplots(nrows=x.shape[0], ncols=len(shap_values) + 1, figsize=fig_size)
if len(axes.shape) == 1:
axes = axes.reshape(1,axes.size)
for row in range(x.shape[0]):
x_curr = x[row].copy()
# make sure
if len(x_curr.shape) == 3 and x_curr.shape[2] == 1:
x_curr = x_curr.reshape(x_curr.shape[:2])
if x_curr.max() > 1:
x_curr /= 255.
# get a grayscale version of the image
if len(x_curr.shape) == 3 and x_curr.shape[2] == 3:
x_curr_gray = (0.2989 * x_curr[:,:,0] + 0.5870 * x_curr[:,:,1] + 0.1140 * x_curr[:,:,2]) # rgb to gray
else:
x_curr_gray = x_curr
axes[row,0].imshow(x_curr, cmap=pl.get_cmap('gray'))
axes[row,0].axis('off')
if len(shap_values[0][row].shape) == 2:
abs_vals = np.stack([np.abs(shap_values[i]) for i in range(len(shap_values))], 0).flatten()
else:
abs_vals = np.stack([np.abs(shap_values[i].sum(-1)) for i in range(len(shap_values))], 0).flatten()
max_val = np.nanpercentile(abs_vals, 99.9)
for i in range(len(shap_values)):
if labels is not None:
axes[row,i+1].set_title(labels[row,i], **label_kwargs)
sv = shap_values[i][row] if len(shap_values[i][row].shape) == 2 else shap_values[i][row].sum(-1)
axes[row,i+1].imshow(x_curr_gray, cmap=pl.get_cmap('gray'), alpha=0.15, extent=(-1, sv.shape[0], sv.shape[1], -1))
im = axes[row,i+1].imshow(sv, cmap=colors.red_transparent_blue, vmin=-max_val, vmax=max_val)
axes[row,i+1].axis('off')
if hspace == 'auto':
fig.tight_layout()
else:
fig.subplots_adjust(hspace=hspace)
cb = fig.colorbar(im, ax=np.ravel(axes).tolist(), label="SHAP value", orientation="horizontal", aspect=fig_size[0]/aspect)
cb.outline.set_visible(False)
if show:
pl.show()
|
python
|
def image_plot(shap_values, x, labels=None, show=True, width=20, aspect=0.2, hspace=0.2, labelpad=None):
""" Plots SHAP values for image inputs.
"""
multi_output = True
if type(shap_values) != list:
multi_output = False
shap_values = [shap_values]
# make sure labels
if labels is not None:
assert labels.shape[0] == shap_values[0].shape[0], "Labels must have same row count as shap_values arrays!"
if multi_output:
assert labels.shape[1] == len(shap_values), "Labels must have a column for each output in shap_values!"
else:
assert len(labels.shape) == 1, "Labels must be a vector for single output shap_values."
label_kwargs = {} if labelpad is None else {'pad': labelpad}
# plot our explanations
fig_size = np.array([3 * (len(shap_values) + 1), 2.5 * (x.shape[0] + 1)])
if fig_size[0] > width:
fig_size *= width / fig_size[0]
fig, axes = pl.subplots(nrows=x.shape[0], ncols=len(shap_values) + 1, figsize=fig_size)
if len(axes.shape) == 1:
axes = axes.reshape(1,axes.size)
for row in range(x.shape[0]):
x_curr = x[row].copy()
# make sure
if len(x_curr.shape) == 3 and x_curr.shape[2] == 1:
x_curr = x_curr.reshape(x_curr.shape[:2])
if x_curr.max() > 1:
x_curr /= 255.
# get a grayscale version of the image
if len(x_curr.shape) == 3 and x_curr.shape[2] == 3:
x_curr_gray = (0.2989 * x_curr[:,:,0] + 0.5870 * x_curr[:,:,1] + 0.1140 * x_curr[:,:,2]) # rgb to gray
else:
x_curr_gray = x_curr
axes[row,0].imshow(x_curr, cmap=pl.get_cmap('gray'))
axes[row,0].axis('off')
if len(shap_values[0][row].shape) == 2:
abs_vals = np.stack([np.abs(shap_values[i]) for i in range(len(shap_values))], 0).flatten()
else:
abs_vals = np.stack([np.abs(shap_values[i].sum(-1)) for i in range(len(shap_values))], 0).flatten()
max_val = np.nanpercentile(abs_vals, 99.9)
for i in range(len(shap_values)):
if labels is not None:
axes[row,i+1].set_title(labels[row,i], **label_kwargs)
sv = shap_values[i][row] if len(shap_values[i][row].shape) == 2 else shap_values[i][row].sum(-1)
axes[row,i+1].imshow(x_curr_gray, cmap=pl.get_cmap('gray'), alpha=0.15, extent=(-1, sv.shape[0], sv.shape[1], -1))
im = axes[row,i+1].imshow(sv, cmap=colors.red_transparent_blue, vmin=-max_val, vmax=max_val)
axes[row,i+1].axis('off')
if hspace == 'auto':
fig.tight_layout()
else:
fig.subplots_adjust(hspace=hspace)
cb = fig.colorbar(im, ax=np.ravel(axes).tolist(), label="SHAP value", orientation="horizontal", aspect=fig_size[0]/aspect)
cb.outline.set_visible(False)
if show:
pl.show()
|
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] |
Plots SHAP values for image inputs.
|
[
"Plots",
"SHAP",
"values",
"for",
"image",
"inputs",
"."
] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/plots/image.py#L10-L72
|
train
|
Plot the image inputs in a single image.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + chr(53), 37534 - 37526), ehT0Px3KOsy9(chr(226 - 178) + chr(8972 - 8861) + chr(49) + chr(0b110100) + chr(0b100110 + 0o15), 22934 - 22926), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1100100 + 0o13) + chr(50) + chr(0b110001 + 0o0) + '\x34', 40907 - 40899), ehT0Px3KOsy9(chr(1016 - 968) + chr(0b11 + 0o154) + '\x32' + chr(708 - 660), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1001 + 0o50) + '\x37' + chr(0b110010 + 0o3), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(593 - 482) + chr(0b110011) + chr(0b110100) + chr(0b110111), 6017 - 6009), ehT0Px3KOsy9(chr(337 - 289) + '\x6f' + '\062' + chr(0b110101) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010101 + 0o32) + chr(0b0 + 0o65) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + chr(6206 - 6095) + '\063' + '\x36' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(220 - 169) + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b110110) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11001 + 0o126) + '\063' + chr(0b110000) + '\065', 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + chr(0b110011) + '\064' + chr(2537 - 2486), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1503 - 1453) + '\063' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101100 + 0o103) + chr(0b10101 + 0o34) + '\063' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(1054 - 1006) + chr(111) + chr(52) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\x36' + chr(2085 - 2036), 53048 - 53040), ehT0Px3KOsy9('\x30' + chr(111) + chr(1519 - 1469) + '\063' + chr(51), 0o10), ehT0Px3KOsy9('\060' + chr(0b1000010 + 0o55) + chr(49) + chr(50) + chr(0b1100 + 0o46), 31962 - 31954), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(49) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(2994 - 2939) + chr(2261 - 2206), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + '\x32' + '\065' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(1356 - 1306) + chr(0b110100) + chr(2510 - 2457), 35275 - 35267), ehT0Px3KOsy9('\x30' + '\157' + chr(1630 - 1580) + chr(0b11110 + 0o26) + chr(0b101001 + 0o11), 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(7202 - 7091) + chr(0b11001 + 0o31) + chr(0b110000) + chr(0b101001 + 0o7), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100010 + 0o115) + chr(0b110011) + chr(0b1111 + 0o42) + '\063', 0o10), ehT0Px3KOsy9(chr(539 - 491) + chr(111) + chr(1247 - 1197) + '\066' + chr(50), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\066' + '\062', 0b1000), ehT0Px3KOsy9(chr(67 - 19) + chr(0b1101111) + chr(0b110001) + chr(0b110010) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1011 + 0o144) + chr(50) + '\066' + chr(0b110110 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(2018 - 1970) + chr(5084 - 4973) + chr(51) + '\065' + chr(0b10001 + 0o41), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(2314 - 2263) + chr(0b110111) + '\067', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(184 - 129) + '\x36', 32738 - 32730), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(2144 - 2096) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(494 - 445) + chr(114 - 64) + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\x32' + '\063', 0o10), ehT0Px3KOsy9(chr(782 - 734) + chr(0b1101010 + 0o5) + chr(50) + chr(0b11000 + 0o33) + chr(814 - 765), ord("\x08")), ehT0Px3KOsy9('\060' + chr(10884 - 10773) + '\061' + chr(50) + chr(0b100110 + 0o20), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1100 + 0o143) + chr(0b1010 + 0o53) + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'+'), chr(0b110000 + 0o64) + chr(101) + '\143' + chr(0b1010110 + 0o31) + '\144' + chr(8176 - 8075))('\x75' + chr(116) + chr(0b10 + 0o144) + chr(0b100011 + 0o12) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def tgsPEjZAhkp1(B6TQhWekbimD, OeWW0F1dBPRQ, uXMK81tmdpTM=None, DCpH_3Y2dTvl=ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(0b110001), 8), mPx09rBTrGXR=ehT0Px3KOsy9('\060' + chr(7681 - 7570) + '\x32' + chr(0b110100), 0o10), P2PTuYkdGbL2=0.2, mnGmfSvgZ40S=0.2, m4qVU47qXdXC=None):
pipI2x0kj3SG = ehT0Px3KOsy9('\x30' + chr(111) + chr(49), 8)
if not PlSM16l2KDPD(B6TQhWekbimD, YyaZ4tpXu4lf):
pipI2x0kj3SG = ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110000), 34081 - 34073)
B6TQhWekbimD = [B6TQhWekbimD]
if uXMK81tmdpTM is not None:
assert xafqLlk3kkUe(uXMK81tmdpTM, xafqLlk3kkUe(SXOLrMavuUCe(b'k\x02\xf9I\x1b\xab\xceD\xa2(\xd6\xa7'), '\x64' + '\x65' + chr(4542 - 4443) + chr(0b1101111) + chr(100) + '\145')('\x75' + '\x74' + '\x66' + chr(0b101101) + chr(3005 - 2949)))[ehT0Px3KOsy9(chr(0b110000) + chr(10527 - 10416) + chr(48), 8)] == xafqLlk3kkUe(B6TQhWekbimD[ehT0Px3KOsy9('\060' + chr(111) + chr(48), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'k\x02\xf9I\x1b\xab\xceD\xa2(\xd6\xa7'), chr(836 - 736) + chr(0b100 + 0o141) + '\143' + chr(0b1101111) + chr(0b1100100) + '\145')('\165' + chr(116) + chr(6178 - 6076) + '\055' + chr(0b111000)))[ehT0Px3KOsy9('\060' + chr(0b1011101 + 0o22) + chr(0b110000), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'I\x02\xeeu\x11\x94\x89E\x83+\xc1\xe5\x8b\xfd)n\x04\x02\xfa?\xea_\xdf\xca\xd5\xa0\xa8\xdd\x878\xc3\xca\x9e\x8d\xe1r>\xf2\xe9\ts\x02\xe0e\x18\x94\x89I\x84*\xd4\xbc\x90\xbd'), chr(100) + chr(101) + chr(0b10111 + 0o114) + '\x6f' + '\144' + chr(5915 - 5814))(chr(0b100111 + 0o116) + '\164' + '\x66' + chr(45) + '\070')
if pipI2x0kj3SG:
assert xafqLlk3kkUe(uXMK81tmdpTM, xafqLlk3kkUe(SXOLrMavuUCe(b'k\x02\xf9I\x1b\xab\xceD\xa2(\xd6\xa7'), chr(0b111100 + 0o50) + chr(0b1100101) + chr(99) + chr(111) + chr(0b1100100) + '\x65')(chr(11309 - 11192) + chr(11098 - 10982) + '\x66' + '\x2d' + chr(0b111000)))[ehT0Px3KOsy9(chr(1306 - 1258) + chr(10508 - 10397) + chr(0b100000 + 0o21), 8)] == c2A0yzQpDQB3(B6TQhWekbimD), xafqLlk3kkUe(SXOLrMavuUCe(b'I\x02\xeeu\x11\x94\x89E\x83+\xc1\xe5\x8b\xfd)n\x04\x10\xbb1\xe0\x13\xd8\xc8\xcc\xa0\xad\xdd\x80v\xd2\x8b\x9c\x96\xe1n#\xe7\xe9#qC\xe5~]\x94\xc1I\x86\x07\xc3\xa4\x8f\xe9:x\x05'), '\x64' + chr(0b1100011 + 0o2) + chr(7293 - 7194) + '\157' + chr(100) + chr(0b1100101))(chr(117) + '\164' + chr(0b10001 + 0o125) + chr(45) + chr(56))
else:
assert c2A0yzQpDQB3(xafqLlk3kkUe(uXMK81tmdpTM, xafqLlk3kkUe(SXOLrMavuUCe(b'k\x02\xf9I\x1b\xab\xceD\xa2(\xd6\xa7'), '\x64' + chr(0b111110 + 0o47) + chr(99) + '\x6f' + chr(100) + '\145')('\x75' + '\164' + chr(102) + chr(1802 - 1757) + chr(56)))) == ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11111 + 0o22), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'I\x02\xeeu\x11\x94\x89E\x83+\xc1\xe5\x81\xf9\x7fj\x04\x07\xfe1\xfb\x10\xdf\x85\xc4\xef\xb9\x92\x81?\xd9\x8d\x93\x9b\xe1n#\xe7\xe9#qC\xffx\x1c\x97\xf6^\x974\xc0\xa0\x90\xb2'), '\144' + chr(0b1001110 + 0o27) + chr(0b1000101 + 0o36) + chr(0b11 + 0o154) + chr(7221 - 7121) + chr(0b1001001 + 0o34))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b1100 + 0o41) + '\070')
M0BaWhu0VZ2X = {} if m4qVU47qXdXC is None else {xafqLlk3kkUe(SXOLrMavuUCe(b'u\x02\xe8'), chr(6708 - 6608) + '\145' + '\143' + '\157' + chr(0b1010111 + 0o15) + chr(9415 - 9314))(chr(13312 - 13195) + chr(0b1110100) + chr(0b1000010 + 0o44) + '\x2d' + chr(0b111000)): m4qVU47qXdXC}
JMRX40pyt_8t = WqUC3KWvYVup.B0ePDhpqxN5n([ehT0Px3KOsy9(chr(531 - 483) + chr(0b1101111) + chr(0b0 + 0o63), ord("\x08")) * (c2A0yzQpDQB3(B6TQhWekbimD) + ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + chr(49), 8)), 2.5 * (OeWW0F1dBPRQ.nauYfLglTpcb[ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2175 - 2127), 8)] + ehT0Px3KOsy9('\060' + '\x6f' + chr(2077 - 2028), 8))])
if JMRX40pyt_8t[ehT0Px3KOsy9(chr(48) + '\x6f' + chr(598 - 550), 8)] > mPx09rBTrGXR:
JMRX40pyt_8t *= mPx09rBTrGXR / JMRX40pyt_8t[ehT0Px3KOsy9('\x30' + '\157' + chr(0b110000), 8)]
(IPypcZ53eNRW, gJ3Tbhvvj8Ru) = _Io90I7sfc_c.subplots(nrows=OeWW0F1dBPRQ.nauYfLglTpcb[ehT0Px3KOsy9('\060' + chr(111) + '\x30', 8)], ncols=c2A0yzQpDQB3(B6TQhWekbimD) + ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001), 8), figsize=JMRX40pyt_8t)
if c2A0yzQpDQB3(xafqLlk3kkUe(gJ3Tbhvvj8Ru, xafqLlk3kkUe(SXOLrMavuUCe(b'k\x02\xf9I\x1b\xab\xceD\xa2(\xd6\xa7'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(111) + chr(0b1100100) + '\145')(chr(0b100011 + 0o122) + chr(8316 - 8200) + '\146' + chr(45) + chr(0b110010 + 0o6)))) == ehT0Px3KOsy9(chr(1602 - 1554) + chr(2525 - 2414) + '\x31', 8):
gJ3Tbhvvj8Ru = gJ3Tbhvvj8Ru.reshape(ehT0Px3KOsy9('\060' + chr(9306 - 9195) + chr(49), 8), gJ3Tbhvvj8Ru.NLcc3BCJnQka)
for TAK9K32TkBdA in vQr8gNKaIaWE(xafqLlk3kkUe(OeWW0F1dBPRQ, xafqLlk3kkUe(SXOLrMavuUCe(b'k\x02\xf9I\x1b\xab\xceD\xa2(\xd6\xa7'), chr(0b1010100 + 0o20) + chr(101) + '\x63' + chr(0b1001001 + 0o46) + chr(8502 - 8402) + chr(1510 - 1409))('\x75' + '\164' + chr(0b1100110) + '\x2d' + chr(0b101000 + 0o20)))[ehT0Px3KOsy9('\x30' + chr(111) + chr(1226 - 1178), 8)]):
UXfvTGbDLQ_I = OeWW0F1dBPRQ[TAK9K32TkBdA].igThHS4jwVsa()
if c2A0yzQpDQB3(xafqLlk3kkUe(UXfvTGbDLQ_I, xafqLlk3kkUe(SXOLrMavuUCe(b'k\x02\xf9I\x1b\xab\xceD\xa2(\xd6\xa7'), chr(0b1100010 + 0o2) + chr(101) + chr(6061 - 5962) + '\x6f' + chr(925 - 825) + '\x65')(chr(0b1110101) + chr(0b1110000 + 0o4) + chr(6766 - 6664) + chr(0b101101) + chr(1780 - 1724)))) == ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b100100 + 0o113) + chr(0b110011), 8) and xafqLlk3kkUe(UXfvTGbDLQ_I, xafqLlk3kkUe(SXOLrMavuUCe(b'k\x02\xf9I\x1b\xab\xceD\xa2(\xd6\xa7'), chr(906 - 806) + chr(0b101001 + 0o74) + '\x63' + chr(9975 - 9864) + '\x64' + chr(442 - 341))('\x75' + chr(10306 - 10190) + chr(0b1100110) + chr(861 - 816) + chr(0b111000)))[ehT0Px3KOsy9('\x30' + '\157' + chr(2214 - 2164), 0b1000)] == ehT0Px3KOsy9(chr(1211 - 1163) + chr(111) + '\061', 8):
UXfvTGbDLQ_I = UXfvTGbDLQ_I.reshape(UXfvTGbDLQ_I.nauYfLglTpcb[:ehT0Px3KOsy9(chr(0b110000) + chr(2323 - 2212) + '\062', 8)])
if xafqLlk3kkUe(UXfvTGbDLQ_I, xafqLlk3kkUe(SXOLrMavuUCe(b'q\x10\xe8z\x0b\x8b\xce@\xcf?\xf1\x95'), chr(0b1100100) + chr(1536 - 1435) + '\x63' + chr(0b1101111) + chr(8301 - 8201) + '\145')(chr(0b1111 + 0o146) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(0b111000)))() > ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(219 - 170), 8):
UXfvTGbDLQ_I /= 255.0
if c2A0yzQpDQB3(xafqLlk3kkUe(UXfvTGbDLQ_I, xafqLlk3kkUe(SXOLrMavuUCe(b'k\x02\xf9I\x1b\xab\xceD\xa2(\xd6\xa7'), chr(0b1011100 + 0o10) + chr(4934 - 4833) + '\143' + '\157' + chr(0b1100100) + chr(4738 - 4637))(chr(117) + chr(771 - 655) + '\x66' + '\055' + chr(56)))) == ehT0Px3KOsy9(chr(48) + chr(0b111010 + 0o65) + '\063', 8) and xafqLlk3kkUe(UXfvTGbDLQ_I, xafqLlk3kkUe(SXOLrMavuUCe(b'k\x02\xf9I\x1b\xab\xceD\xa2(\xd6\xa7'), chr(9095 - 8995) + '\145' + chr(0b10110 + 0o115) + chr(0b11110 + 0o121) + chr(0b1011111 + 0o5) + chr(5216 - 5115))(chr(3901 - 3784) + chr(0b1110100) + '\x66' + chr(1990 - 1945) + '\x38'))[ehT0Px3KOsy9(chr(1503 - 1455) + '\x6f' + '\x32', 8)] == ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51), 8):
j5dsPbrTtU78 = 0.2989 * UXfvTGbDLQ_I[:, :, ehT0Px3KOsy9('\060' + '\157' + chr(48), 8)] + 0.587 * UXfvTGbDLQ_I[:, :, ehT0Px3KOsy9(chr(1780 - 1732) + chr(0b11000 + 0o127) + chr(49), 8)] + 0.114 * UXfvTGbDLQ_I[:, :, ehT0Px3KOsy9('\x30' + chr(2984 - 2873) + chr(0b110010), 8)]
else:
j5dsPbrTtU78 = UXfvTGbDLQ_I
xafqLlk3kkUe(gJ3Tbhvvj8Ru[TAK9K32TkBdA, ehT0Px3KOsy9('\060' + chr(111) + chr(1550 - 1502), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'l\x0e\xffx\x12\x90'), chr(100) + chr(0b11 + 0o142) + chr(99) + '\x6f' + chr(100) + chr(1019 - 918))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(0b10011 + 0o32) + '\070'))(UXfvTGbDLQ_I, cmap=xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'b\x06\xf8O\x1e\x8a\xc8X'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(1063 - 962))('\x75' + chr(9847 - 9731) + chr(0b1100110) + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'b\x11\xedi'), chr(100) + chr(0b100 + 0o141) + '\x63' + chr(0b1101111) + '\x64' + chr(8828 - 8727))(chr(0b100101 + 0o120) + '\164' + chr(0b100 + 0o142) + '\x2d' + chr(0b110001 + 0o7))))
xafqLlk3kkUe(gJ3Tbhvvj8Ru[TAK9K32TkBdA, ehT0Px3KOsy9(chr(2244 - 2196) + chr(0b1001 + 0o146) + chr(1240 - 1192), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'f1\xd8xK\xd6\xd8Q\x801\x87\xf1'), '\x64' + chr(0b1011100 + 0o11) + chr(99) + '\x6f' + '\x64' + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(2889 - 2833)))(xafqLlk3kkUe(SXOLrMavuUCe(b'j\x05\xea'), '\x64' + chr(9874 - 9773) + '\x63' + chr(111) + '\144' + '\x65')('\x75' + chr(0b11000 + 0o134) + '\x66' + '\x2d' + chr(56)))
if c2A0yzQpDQB3(xafqLlk3kkUe(B6TQhWekbimD[ehT0Px3KOsy9(chr(48) + '\x6f' + '\060', 8)][TAK9K32TkBdA], xafqLlk3kkUe(SXOLrMavuUCe(b'k\x02\xf9I\x1b\xab\xceD\xa2(\xd6\xa7'), chr(0b11011 + 0o111) + chr(101) + chr(9444 - 9345) + chr(0b11000 + 0o127) + '\144' + chr(101))('\165' + '\164' + '\146' + chr(45) + chr(749 - 693)))) == ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11110 + 0o24), 8):
c9qnAnvpLJ8_ = WqUC3KWvYVup.stack([WqUC3KWvYVup.abs(B6TQhWekbimD[WVxHKyX45z_L]) for WVxHKyX45z_L in vQr8gNKaIaWE(c2A0yzQpDQB3(B6TQhWekbimD))], ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100100 + 0o14), 8)).dbBtynT6oMgz()
else:
c9qnAnvpLJ8_ = WqUC3KWvYVup.stack([WqUC3KWvYVup.abs(B6TQhWekbimD[WVxHKyX45z_L].sum(-ehT0Px3KOsy9(chr(205 - 157) + '\157' + chr(0b100111 + 0o12), 8))) for WVxHKyX45z_L in vQr8gNKaIaWE(c2A0yzQpDQB3(B6TQhWekbimD))], ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(48), 8)).dbBtynT6oMgz()
VnEEVinV1no4 = WqUC3KWvYVup.nanpercentile(c9qnAnvpLJ8_, 99.9)
for WVxHKyX45z_L in vQr8gNKaIaWE(c2A0yzQpDQB3(B6TQhWekbimD)):
if uXMK81tmdpTM is not None:
xafqLlk3kkUe(gJ3Tbhvvj8Ru[TAK9K32TkBdA, WVxHKyX45z_L + ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100011 + 0o16), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'v\x06\xf8O\t\x8e\xddD\x93'), chr(0b1010000 + 0o24) + '\145' + '\x63' + chr(111) + chr(0b1100100) + chr(101))(chr(5040 - 4923) + chr(116) + chr(0b1100110) + '\055' + chr(0b101111 + 0o11)))(uXMK81tmdpTM[TAK9K32TkBdA, WVxHKyX45z_L], **M0BaWhu0VZ2X)
hzJ_cl7tr24o = B6TQhWekbimD[WVxHKyX45z_L][TAK9K32TkBdA] if c2A0yzQpDQB3(B6TQhWekbimD[WVxHKyX45z_L][TAK9K32TkBdA].nauYfLglTpcb) == ehT0Px3KOsy9('\060' + '\157' + chr(0b10 + 0o60), 8) else B6TQhWekbimD[WVxHKyX45z_L][TAK9K32TkBdA].xkxBmo49x2An(-ehT0Px3KOsy9(chr(48) + chr(111) + '\061', 8))
xafqLlk3kkUe(gJ3Tbhvvj8Ru[TAK9K32TkBdA, WVxHKyX45z_L + ehT0Px3KOsy9(chr(48) + chr(111) + '\x31', 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'l\x0e\xffx\x12\x90'), '\144' + chr(7386 - 7285) + chr(0b1011000 + 0o13) + '\x6f' + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(12131 - 12015) + '\x66' + chr(1674 - 1629) + chr(0b100000 + 0o30)))(j5dsPbrTtU78, cmap=xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'b\x06\xf8O\x1e\x8a\xc8X'), '\144' + chr(6408 - 6307) + '\143' + chr(1231 - 1120) + '\x64' + chr(0b1100101))('\x75' + chr(0b1101000 + 0o14) + chr(0b101000 + 0o76) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'b\x11\xedi'), '\x64' + chr(0b1100101) + chr(2536 - 2437) + chr(0b1101111) + chr(3131 - 3031) + '\x65')('\x75' + chr(0b10011 + 0o141) + chr(0b1100110) + '\x2d' + chr(976 - 920))), alpha=0.15, extent=(-ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31', 8), xafqLlk3kkUe(hzJ_cl7tr24o, xafqLlk3kkUe(SXOLrMavuUCe(b'k\x02\xf9I\x1b\xab\xceD\xa2(\xd6\xa7'), chr(100) + chr(0b1100100 + 0o1) + chr(0b100101 + 0o76) + chr(6911 - 6800) + chr(100) + '\x65')(chr(0b1110101) + chr(0b1010000 + 0o44) + chr(2245 - 2143) + chr(1744 - 1699) + chr(56)))[ehT0Px3KOsy9('\060' + chr(0b100000 + 0o117) + '\x30', 8)], xafqLlk3kkUe(hzJ_cl7tr24o, xafqLlk3kkUe(SXOLrMavuUCe(b'k\x02\xf9I\x1b\xab\xceD\xa2(\xd6\xa7'), chr(100) + chr(0b1100101) + chr(6954 - 6855) + chr(0b1101111) + chr(100) + chr(0b1100101))('\x75' + '\x74' + chr(0b1100110) + chr(0b101101) + chr(2061 - 2005)))[ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49), 8)], -ehT0Px3KOsy9('\060' + '\157' + chr(0b1 + 0o60), 8)))
VgsKglavAqRV = gJ3Tbhvvj8Ru[TAK9K32TkBdA, WVxHKyX45z_L + ehT0Px3KOsy9('\x30' + '\157' + chr(0b100011 + 0o16), 8)].imshow(hzJ_cl7tr24o, cmap=bVKMf_d5jJzc.red_transparent_blue, vmin=-VnEEVinV1no4, vmax=VnEEVinV1no4)
xafqLlk3kkUe(gJ3Tbhvvj8Ru[TAK9K32TkBdA, WVxHKyX45z_L + ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + '\x31', 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'f1\xd8xK\xd6\xd8Q\x801\x87\xf1'), chr(100) + '\145' + chr(99) + chr(11033 - 10922) + chr(1099 - 999) + '\145')(chr(0b1000000 + 0o65) + chr(10998 - 10882) + chr(0b1100110) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'j\x05\xea'), chr(8974 - 8874) + chr(209 - 108) + chr(0b10000 + 0o123) + chr(0b1101111) + '\144' + '\x65')(chr(11562 - 11445) + '\x74' + '\146' + chr(45) + chr(0b110000 + 0o10)))
if mnGmfSvgZ40S == xafqLlk3kkUe(SXOLrMavuUCe(b'd\x16\xf8\x7f'), chr(100) + '\145' + '\143' + chr(0b1101111) + '\144' + chr(0b1000000 + 0o45))(chr(10582 - 10465) + chr(116) + '\146' + '\055' + chr(56)):
xafqLlk3kkUe(IPypcZ53eNRW, xafqLlk3kkUe(SXOLrMavuUCe(b'q\n\xebx\t\xb8\xc5I\x8f7\xc0\xb1'), '\144' + chr(0b100000 + 0o105) + chr(99) + chr(0b1101111) + chr(0b1110 + 0o126) + chr(132 - 31))('\165' + chr(4623 - 4507) + chr(0b1010100 + 0o22) + chr(1586 - 1541) + chr(868 - 812)))()
else:
xafqLlk3kkUe(IPypcZ53eNRW, xafqLlk3kkUe(SXOLrMavuUCe(b'v\x16\xee`\x11\x88\xdd[\xa99\xd1\xaf\x96\xef+'), chr(100) + chr(0b100001 + 0o104) + chr(99) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(794 - 678) + '\146' + '\x2d' + chr(697 - 641)))(hspace=mnGmfSvgZ40S)
hfOA2bIyYn7s = IPypcZ53eNRW.colorbar(VgsKglavAqRV, ax=WqUC3KWvYVup.ravel(gJ3Tbhvvj8Ru).tolist(), label=xafqLlk3kkUe(SXOLrMavuUCe(b'V+\xcd@]\x91\xc8D\x83='), chr(0b1100100) + chr(0b1100101) + chr(0b1 + 0o142) + chr(111) + '\144' + chr(101))(chr(10155 - 10038) + chr(0b1110100) + chr(0b111010 + 0o54) + chr(0b10011 + 0o32) + '\x38'), orientation=xafqLlk3kkUe(SXOLrMavuUCe(b'm\x0c\xfey\x07\x88\xc7\\\x974'), '\x64' + chr(0b1100101) + chr(99) + chr(10382 - 10271) + chr(0b1100100) + chr(742 - 641))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(1839 - 1794) + '\x38'), aspect=JMRX40pyt_8t[ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110000), 8)] / P2PTuYkdGbL2)
xafqLlk3kkUe(hfOA2bIyYn7s.outline, xafqLlk3kkUe(SXOLrMavuUCe(b'v\x06\xf8O\x0b\x8e\xdaA\x944\xd0'), chr(0b1100100) + '\145' + '\x63' + '\157' + chr(0b1010001 + 0o23) + '\x65')('\165' + chr(5013 - 4897) + '\146' + chr(0b101101 + 0o0) + '\070'))(ehT0Px3KOsy9(chr(48) + '\157' + chr(1257 - 1209), 8))
if DCpH_3Y2dTvl:
xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'v\x0b\xe3g'), chr(0b1100100) + chr(101) + chr(0b1011000 + 0o13) + chr(111) + '\x64' + chr(0b1010111 + 0o16))(chr(0b100011 + 0o122) + chr(11344 - 11228) + chr(0b11001 + 0o115) + chr(45) + chr(56)))()
|
slundberg/shap
|
shap/common.py
|
hclust_ordering
|
def hclust_ordering(X, metric="sqeuclidean"):
""" A leaf ordering is under-defined, this picks the ordering that keeps nearby samples similar.
"""
# compute a hierarchical clustering
D = sp.spatial.distance.pdist(X, metric)
cluster_matrix = sp.cluster.hierarchy.complete(D)
# merge clusters, rotating them to make the end points match as best we can
sets = [[i] for i in range(X.shape[0])]
for i in range(cluster_matrix.shape[0]):
s1 = sets[int(cluster_matrix[i,0])]
s2 = sets[int(cluster_matrix[i,1])]
# compute distances between the end points of the lists
d_s1_s2 = pdist(np.vstack([X[s1[-1],:], X[s2[0],:]]), metric)[0]
d_s2_s1 = pdist(np.vstack([X[s1[0],:], X[s2[-1],:]]), metric)[0]
d_s1r_s2 = pdist(np.vstack([X[s1[0],:], X[s2[0],:]]), metric)[0]
d_s1_s2r = pdist(np.vstack([X[s1[-1],:], X[s2[-1],:]]), metric)[0]
# concatenete the lists in the way the minimizes the difference between
# the samples at the junction
best = min(d_s1_s2, d_s2_s1, d_s1r_s2, d_s1_s2r)
if best == d_s1_s2:
sets.append(s1 + s2)
elif best == d_s2_s1:
sets.append(s2 + s1)
elif best == d_s1r_s2:
sets.append(list(reversed(s1)) + s2)
else:
sets.append(s1 + list(reversed(s2)))
return sets[-1]
|
python
|
def hclust_ordering(X, metric="sqeuclidean"):
""" A leaf ordering is under-defined, this picks the ordering that keeps nearby samples similar.
"""
# compute a hierarchical clustering
D = sp.spatial.distance.pdist(X, metric)
cluster_matrix = sp.cluster.hierarchy.complete(D)
# merge clusters, rotating them to make the end points match as best we can
sets = [[i] for i in range(X.shape[0])]
for i in range(cluster_matrix.shape[0]):
s1 = sets[int(cluster_matrix[i,0])]
s2 = sets[int(cluster_matrix[i,1])]
# compute distances between the end points of the lists
d_s1_s2 = pdist(np.vstack([X[s1[-1],:], X[s2[0],:]]), metric)[0]
d_s2_s1 = pdist(np.vstack([X[s1[0],:], X[s2[-1],:]]), metric)[0]
d_s1r_s2 = pdist(np.vstack([X[s1[0],:], X[s2[0],:]]), metric)[0]
d_s1_s2r = pdist(np.vstack([X[s1[-1],:], X[s2[-1],:]]), metric)[0]
# concatenete the lists in the way the minimizes the difference between
# the samples at the junction
best = min(d_s1_s2, d_s2_s1, d_s1r_s2, d_s1_s2r)
if best == d_s1_s2:
sets.append(s1 + s2)
elif best == d_s2_s1:
sets.append(s2 + s1)
elif best == d_s1r_s2:
sets.append(list(reversed(s1)) + s2)
else:
sets.append(s1 + list(reversed(s2)))
return sets[-1]
|
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A leaf ordering is under-defined, this picks the ordering that keeps nearby samples similar.
|
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] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/common.py#L215-L247
|
train
|
A leaf ordering is under - defined this picks the ordering that keeps nearby samples similar.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(2266 - 2218) + chr(0b111 + 0o150) + chr(0b100001 + 0o21) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\x35' + chr(0b100011 + 0o20), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001 + 0o1) + '\x34' + '\x30', 0o10), ehT0Px3KOsy9(chr(560 - 512) + chr(111) + '\x32' + '\063' + '\062', 0o10), ehT0Px3KOsy9(chr(934 - 886) + chr(111) + '\x31' + chr(49) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1001 + 0o50) + '\061' + '\066', 8), ehT0Px3KOsy9(chr(48) + chr(301 - 190) + '\x32' + chr(0b101101 + 0o11) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(1673 - 1623) + chr(0b101000 + 0o14) + chr(2243 - 2188), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(50) + chr(455 - 402) + '\063', 8), ehT0Px3KOsy9(chr(747 - 699) + '\x6f' + '\x33' + chr(48) + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(6692 - 6581) + chr(51) + '\x34' + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1991 - 1939), 0b1000), ehT0Px3KOsy9('\x30' + chr(6322 - 6211) + '\x32' + chr(48) + chr(2700 - 2647), 16418 - 16410), ehT0Px3KOsy9('\060' + chr(0b1011010 + 0o25) + chr(51) + chr(0b110110) + chr(0b110 + 0o54), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100001 + 0o16) + chr(0b110011) + chr(0b1101 + 0o51) + '\x36', 0o10), ehT0Px3KOsy9(chr(2092 - 2044) + '\157' + chr(0b110010) + chr(54) + chr(52), 24114 - 24106), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + chr(49) + '\x33' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(957 - 909) + '\x6f' + chr(0b110011) + chr(2348 - 2295) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(2234 - 2184) + chr(1221 - 1169), ord("\x08")), ehT0Px3KOsy9(chr(1072 - 1024) + chr(0b1101111) + chr(0b110011) + chr(0b11101 + 0o32) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(6114 - 6003) + '\062' + '\x35', 17467 - 17459), ehT0Px3KOsy9('\060' + chr(0b1001100 + 0o43) + chr(181 - 132) + chr(215 - 162) + '\x30', 0o10), ehT0Px3KOsy9(chr(1569 - 1521) + '\157' + '\x32' + '\060' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(359 - 310) + chr(0b1000 + 0o57) + chr(2314 - 2265), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(4212 - 4101) + chr(50) + '\067' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b1101 + 0o43) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + '\x37' + '\065', 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(0b110001) + chr(2611 - 2559) + '\x31', 0b1000), ehT0Px3KOsy9(chr(159 - 111) + chr(5366 - 5255) + chr(49) + chr(52) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b110010 + 0o75) + chr(0b1100 + 0o45) + chr(0b110101) + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(12305 - 12194) + chr(1775 - 1725) + chr(48) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(4287 - 4176) + chr(0b101101 + 0o6) + chr(1693 - 1643) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(2649 - 2538) + chr(271 - 221) + chr(54) + chr(0b1110 + 0o50), 0o10), ehT0Px3KOsy9('\060' + chr(10848 - 10737) + '\x32' + chr(0b110010) + chr(0b11010 + 0o34), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011111 + 0o20) + '\x32' + '\x31' + '\065', 0o10), ehT0Px3KOsy9(chr(762 - 714) + chr(0b1101111) + '\063' + chr(0b101110 + 0o4) + chr(51), 8), ehT0Px3KOsy9(chr(1395 - 1347) + '\157' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(6819 - 6708) + chr(50) + '\062' + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\060', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + '\x35' + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'='), chr(0b1100100) + chr(101) + chr(9232 - 9133) + '\157' + chr(100) + chr(0b1100101))(chr(117) + '\x74' + chr(0b111111 + 0o47) + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def X0d1Y9DNRx3X(xEgrFJ0REugl, UyTbk4dY9zDl=xafqLlk3kkUe(SXOLrMavuUCe(b"`\xda\xc5\xef-s'\xd4\xc2\xca\xaf"), chr(2565 - 2465) + chr(10104 - 10003) + '\143' + chr(0b1101111) + '\x64' + chr(2639 - 2538))(chr(0b1110101) + chr(6086 - 5970) + '\x66' + chr(0b101101) + chr(0b111000))):
Dbr5VPTn8omg = ryOzkpXaokEu.spatial.distance.pdist(xEgrFJ0REugl, UyTbk4dY9zDl)
GWG9qV5jShbc = ryOzkpXaokEu.cluster.hierarchy.complete(Dbr5VPTn8omg)
PMGLmDpchPzv = [[WVxHKyX45z_L] for WVxHKyX45z_L in vQr8gNKaIaWE(xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9(chr(48) + chr(111) + chr(56 - 8), 8)])]
for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(GWG9qV5jShbc, xafqLlk3kkUe(SXOLrMavuUCe(b'}\xca\xd5\xc3(S)\xdc\xf3\xdb\xa2\x83'), chr(4383 - 4283) + '\145' + chr(0b110001 + 0o62) + chr(0b1101111) + '\144' + chr(0b1000010 + 0o43))(chr(0b1110101) + chr(725 - 609) + '\146' + chr(1569 - 1524) + chr(0b111000)))[ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1101 + 0o43), 8)]):
ujz6gRd2CBxn = PMGLmDpchPzv[ehT0Px3KOsy9(GWG9qV5jShbc[WVxHKyX45z_L, ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(682 - 634), 8)])]
JrUk4RFbYVnF = PMGLmDpchPzv[ehT0Px3KOsy9(GWG9qV5jShbc[WVxHKyX45z_L, ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + '\x31', 0b1000)])]
vFMdy29XBCLu = ebvFUxlN2JNN(WqUC3KWvYVup.vstack([xEgrFJ0REugl[ujz6gRd2CBxn[-ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10010 + 0o37), 8)], :], xEgrFJ0REugl[JrUk4RFbYVnF[ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(48), 8)], :]]), UyTbk4dY9zDl)[ehT0Px3KOsy9(chr(48) + chr(6938 - 6827) + chr(0b110000), 8)]
uTYwDgqQIK5v = ebvFUxlN2JNN(WqUC3KWvYVup.vstack([xEgrFJ0REugl[ujz6gRd2CBxn[ehT0Px3KOsy9('\060' + '\157' + chr(0b100 + 0o54), 8)], :], xEgrFJ0REugl[JrUk4RFbYVnF[-ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b110000 + 0o77) + chr(0b10111 + 0o32), 8)], :]]), UyTbk4dY9zDl)[ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(9998 - 9887) + chr(1390 - 1342), 8)]
NnQL1V4c7ne7 = ebvFUxlN2JNN(WqUC3KWvYVup.vstack([xEgrFJ0REugl[ujz6gRd2CBxn[ehT0Px3KOsy9(chr(0b110000) + chr(8969 - 8858) + chr(48), 8)], :], xEgrFJ0REugl[JrUk4RFbYVnF[ehT0Px3KOsy9('\x30' + chr(0b100111 + 0o110) + chr(0b1001 + 0o47), 8)], :]]), UyTbk4dY9zDl)[ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000 + 0o0), 8)]
CXKUY6MSfqmY = ebvFUxlN2JNN(WqUC3KWvYVup.vstack([xEgrFJ0REugl[ujz6gRd2CBxn[-ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2155 - 2106), 8)], :], xEgrFJ0REugl[JrUk4RFbYVnF[-ehT0Px3KOsy9(chr(0b110000) + chr(3482 - 3371) + chr(2326 - 2277), 8)], :]]), UyTbk4dY9zDl)[ehT0Px3KOsy9('\060' + chr(0b1101111) + '\060', 8)]
sNA2io01QetG = Dx22bkKPdt5d(vFMdy29XBCLu, uTYwDgqQIK5v, NnQL1V4c7ne7, CXKUY6MSfqmY)
if sNA2io01QetG == vFMdy29XBCLu:
xafqLlk3kkUe(PMGLmDpchPzv, xafqLlk3kkUe(SXOLrMavuUCe(b'r\xdb\xd0\xff {'), '\x64' + chr(9172 - 9071) + chr(0b1100011) + '\157' + chr(6440 - 6340) + '\x65')(chr(2329 - 2212) + chr(0b1110100) + '\146' + chr(0b10010 + 0o33) + '\x38'))(ujz6gRd2CBxn + JrUk4RFbYVnF)
elif sNA2io01QetG == uTYwDgqQIK5v:
xafqLlk3kkUe(PMGLmDpchPzv, xafqLlk3kkUe(SXOLrMavuUCe(b'r\xdb\xd0\xff {'), chr(4030 - 3930) + chr(0b1100101) + '\143' + chr(111) + chr(0b1100100) + '\x65')('\x75' + chr(1896 - 1780) + chr(0b111111 + 0o47) + '\x2d' + '\070'))(JrUk4RFbYVnF + ujz6gRd2CBxn)
elif sNA2io01QetG == NnQL1V4c7ne7:
xafqLlk3kkUe(PMGLmDpchPzv, xafqLlk3kkUe(SXOLrMavuUCe(b'r\xdb\xd0\xff {'), chr(0b1100100) + chr(101) + '\143' + '\x6f' + chr(0b1000011 + 0o41) + '\x65')(chr(5682 - 5565) + chr(116) + chr(102) + '\055' + chr(0b111000)))(YyaZ4tpXu4lf(RFiwrCZH9Ie6(ujz6gRd2CBxn)) + JrUk4RFbYVnF)
else:
xafqLlk3kkUe(PMGLmDpchPzv, xafqLlk3kkUe(SXOLrMavuUCe(b'r\xdb\xd0\xff {'), chr(5417 - 5317) + '\x65' + chr(827 - 728) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(1484 - 1367) + chr(1256 - 1140) + chr(102) + '\x2d' + '\x38'))(ujz6gRd2CBxn + YyaZ4tpXu4lf(RFiwrCZH9Ie6(JrUk4RFbYVnF)))
return PMGLmDpchPzv[-ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(0b110001), 8)]
|
slundberg/shap
|
shap/common.py
|
approximate_interactions
|
def approximate_interactions(index, shap_values, X, feature_names=None):
""" Order other features by how much interaction they seem to have with the feature at the given index.
This just bins the SHAP values for a feature along that feature's value. For true Shapley interaction
index values for SHAP see the interaction_contribs option implemented in XGBoost.
"""
# convert from DataFrames if we got any
if str(type(X)).endswith("'pandas.core.frame.DataFrame'>"):
if feature_names is None:
feature_names = X.columns
X = X.values
index = convert_name(index, shap_values, feature_names)
if X.shape[0] > 10000:
a = np.arange(X.shape[0])
np.random.shuffle(a)
inds = a[:10000]
else:
inds = np.arange(X.shape[0])
x = X[inds, index]
srt = np.argsort(x)
shap_ref = shap_values[inds, index]
shap_ref = shap_ref[srt]
inc = max(min(int(len(x) / 10.0), 50), 1)
interactions = []
for i in range(X.shape[1]):
val_other = X[inds, i][srt].astype(np.float)
v = 0.0
if not (i == index or np.sum(np.abs(val_other)) < 1e-8):
for j in range(0, len(x), inc):
if np.std(val_other[j:j + inc]) > 0 and np.std(shap_ref[j:j + inc]) > 0:
v += abs(np.corrcoef(shap_ref[j:j + inc], val_other[j:j + inc])[0, 1])
val_v = v
val_other = np.isnan(X[inds, i][srt].astype(np.float))
v = 0.0
if not (i == index or np.sum(np.abs(val_other)) < 1e-8):
for j in range(0, len(x), inc):
if np.std(val_other[j:j + inc]) > 0 and np.std(shap_ref[j:j + inc]) > 0:
v += abs(np.corrcoef(shap_ref[j:j + inc], val_other[j:j + inc])[0, 1])
nan_v = v
interactions.append(max(val_v, nan_v))
return np.argsort(-np.abs(interactions))
|
python
|
def approximate_interactions(index, shap_values, X, feature_names=None):
""" Order other features by how much interaction they seem to have with the feature at the given index.
This just bins the SHAP values for a feature along that feature's value. For true Shapley interaction
index values for SHAP see the interaction_contribs option implemented in XGBoost.
"""
# convert from DataFrames if we got any
if str(type(X)).endswith("'pandas.core.frame.DataFrame'>"):
if feature_names is None:
feature_names = X.columns
X = X.values
index = convert_name(index, shap_values, feature_names)
if X.shape[0] > 10000:
a = np.arange(X.shape[0])
np.random.shuffle(a)
inds = a[:10000]
else:
inds = np.arange(X.shape[0])
x = X[inds, index]
srt = np.argsort(x)
shap_ref = shap_values[inds, index]
shap_ref = shap_ref[srt]
inc = max(min(int(len(x) / 10.0), 50), 1)
interactions = []
for i in range(X.shape[1]):
val_other = X[inds, i][srt].astype(np.float)
v = 0.0
if not (i == index or np.sum(np.abs(val_other)) < 1e-8):
for j in range(0, len(x), inc):
if np.std(val_other[j:j + inc]) > 0 and np.std(shap_ref[j:j + inc]) > 0:
v += abs(np.corrcoef(shap_ref[j:j + inc], val_other[j:j + inc])[0, 1])
val_v = v
val_other = np.isnan(X[inds, i][srt].astype(np.float))
v = 0.0
if not (i == index or np.sum(np.abs(val_other)) < 1e-8):
for j in range(0, len(x), inc):
if np.std(val_other[j:j + inc]) > 0 and np.std(shap_ref[j:j + inc]) > 0:
v += abs(np.corrcoef(shap_ref[j:j + inc], val_other[j:j + inc])[0, 1])
nan_v = v
interactions.append(max(val_v, nan_v))
return np.argsort(-np.abs(interactions))
|
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] |
Order other features by how much interaction they seem to have with the feature at the given index.
This just bins the SHAP values for a feature along that feature's value. For true Shapley interaction
index values for SHAP see the interaction_contribs option implemented in XGBoost.
|
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] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/common.py#L271-L318
|
train
|
Compute the approximate interactions for a given feature at a given index.
|
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(1319 - 1269) + '\066' + chr(0b100000 + 0o21), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + '\063' + chr(53) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(0b11000 + 0o32) + chr(0b10011 + 0o43) + chr(2162 - 2114), 0b1000), ehT0Px3KOsy9(chr(48) + chr(1596 - 1485) + '\063' + chr(0b110000) + chr(0b1011 + 0o51), 28749 - 28741), ehT0Px3KOsy9(chr(75 - 27) + chr(111) + chr(0b110100) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + chr(54) + chr(0b1010 + 0o51), 31911 - 31903), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11010 + 0o31) + '\065' + '\x37', 8), ehT0Px3KOsy9(chr(1245 - 1197) + chr(111) + chr(51) + chr(0b110100) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5771 - 5660) + '\x32' + '\x34' + chr(0b101010 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(49), 56564 - 56556), ehT0Px3KOsy9('\x30' + '\157' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b110010 + 0o5) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(55) + chr(0b1011 + 0o50), 0b1000), ehT0Px3KOsy9(chr(850 - 802) + chr(111) + chr(50) + chr(53) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b11000 + 0o127) + '\x31' + chr(51), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\067' + chr(1126 - 1078), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x37' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + '\x33' + chr(0b110100) + chr(0b110111), 27506 - 27498), ehT0Px3KOsy9(chr(1132 - 1084) + chr(0b110110 + 0o71) + chr(0b100011 + 0o15), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(867 - 819) + chr(0b110101 + 0o1), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(0b1 + 0o62) + chr(0b101000 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(1085 - 1037) + chr(111) + chr(381 - 330) + chr(50) + chr(2714 - 2660), ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + '\061' + chr(0b110111) + chr(0b10 + 0o57), 58292 - 58284), ehT0Px3KOsy9(chr(48) + chr(111) + chr(52) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(54) + chr(2179 - 2125), 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + chr(50) + chr(0b11010 + 0o26) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(0b110110) + '\x31', 0o10), ehT0Px3KOsy9(chr(1058 - 1010) + chr(0b1001111 + 0o40) + chr(0b110011) + chr(0b10000 + 0o47) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(0b110010) + chr(412 - 363) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + chr(0b110010) + '\063' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5871 - 5760) + '\061' + chr(0b110000) + chr(0b100000 + 0o23), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\x37' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6348 - 6237) + chr(538 - 489) + chr(1892 - 1842) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110100) + chr(431 - 380), 0o10), ehT0Px3KOsy9('\060' + chr(6864 - 6753) + '\061' + '\x34', 9837 - 9829), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1000101 + 0o52) + chr(0b11000 + 0o37) + '\x36', 63509 - 63501), ehT0Px3KOsy9(chr(993 - 945) + '\157' + chr(0b11000 + 0o32) + '\064', 11013 - 11005), ehT0Px3KOsy9(chr(48) + '\157' + chr(55) + '\062', 0b1000), ehT0Px3KOsy9(chr(1237 - 1189) + '\x6f' + '\x31' + chr(2355 - 2303), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(648 - 593) + chr(55), 42680 - 42672)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + '\065' + chr(84 - 36), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f'), chr(0b1101 + 0o127) + chr(0b1001111 + 0o26) + '\143' + '\157' + chr(0b11011 + 0o111) + '\145')('\x75' + chr(0b1010110 + 0o36) + chr(102) + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def J7A_93xzIZSL(XdowRbJKZWL9, B6TQhWekbimD, xEgrFJ0REugl, pfS5O3iUpFhz=None):
if xafqLlk3kkUe(M8_cKLkHVB2V(wmQmyeWBmUpv(xEgrFJ0REugl)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\x81\xd4\xb7QZ\x9b\x8c'), '\144' + chr(101) + chr(0b11101 + 0o106) + chr(0b100111 + 0o110) + chr(0b1100100) + '\x65')(chr(117) + '\x74' + '\x66' + chr(1882 - 1837) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x96\x9f\xd1\xaaBR\x9c\xca\xc1~p\xdb\x95\xccy\x19Q\x82.\x82\xfe\xa2\x18f\x04\xe5\x1c\x99\xaf\xa0'), '\144' + '\145' + chr(0b10 + 0o141) + chr(111) + chr(0b1100011 + 0o1) + chr(0b1011 + 0o132))(chr(7627 - 7510) + chr(0b1110100) + '\x66' + chr(0b101101) + '\070')):
if pfS5O3iUpFhz is None:
pfS5O3iUpFhz = xEgrFJ0REugl.qKlXBtn3PKy4
xEgrFJ0REugl = xEgrFJ0REugl.SPnCNu54H1db
XdowRbJKZWL9 = GPIqsAOqPYuQ(XdowRbJKZWL9, B6TQhWekbimD, pfS5O3iUpFhz)
if xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf\x8e\xc5\x9d@\x7f\x88\x88\xf6aa\xdc'), '\x64' + '\x65' + chr(6187 - 6088) + chr(111) + '\x64' + '\145')('\165' + chr(0b1011001 + 0o33) + '\x66' + chr(0b11111 + 0o16) + chr(2595 - 2539)))[ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110000), 8)] > ehT0Px3KOsy9(chr(1319 - 1271) + '\x6f' + chr(1989 - 1939) + chr(51) + '\064' + '\x32' + '\060', ord("\x08")):
XPh1qbAgrPgG = WqUC3KWvYVup.arange(xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9('\060' + '\x6f' + chr(48), 8)])
xafqLlk3kkUe(WqUC3KWvYVup.random, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\x87\xc5\xa2@_\x8a'), chr(0b1100100) + chr(0b1010101 + 0o20) + chr(7538 - 7439) + chr(7832 - 7721) + '\x64' + chr(101))('\x75' + chr(0b1110001 + 0o3) + chr(0b1100110) + '\x2d' + '\070'))(XPh1qbAgrPgG)
HP9YF4VVcIuY = XPh1qbAgrPgG[:ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2084 - 2034) + chr(0b11011 + 0o30) + chr(52) + chr(50) + chr(1822 - 1774), 8)]
else:
HP9YF4VVcIuY = WqUC3KWvYVup.arange(xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x30', 8)])
OeWW0F1dBPRQ = xEgrFJ0REugl[HP9YF4VVcIuY, XdowRbJKZWL9]
lJN7Up0gyY0N = WqUC3KWvYVup.argsort(OeWW0F1dBPRQ)
HyJ1xHu5jT6G = B6TQhWekbimD[HP9YF4VVcIuY, XdowRbJKZWL9]
HyJ1xHu5jT6G = HyJ1xHu5jT6G[lJN7Up0gyY0N]
dicZS4hSdB9L = tsdjvlgh9gDP(Dx22bkKPdt5d(ehT0Px3KOsy9(c2A0yzQpDQB3(OeWW0F1dBPRQ) / 10.0), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(223 - 169) + chr(0b110010), 0o10)), ehT0Px3KOsy9(chr(1423 - 1375) + chr(11123 - 11012) + '\061', 48649 - 48641))
nQaadXxV7Mbf = []
for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf\x8e\xc5\x9d@\x7f\x88\x88\xf6aa\xdc'), chr(100) + chr(101) + chr(0b1100011) + chr(111) + chr(100) + '\145')('\x75' + '\164' + chr(102) + chr(0b1 + 0o54) + chr(0b110000 + 0o10)))[ehT0Px3KOsy9(chr(0b110000) + chr(12136 - 12025) + '\x31', 8)]):
I2840LEun5sE = xEgrFJ0REugl[HP9YF4VVcIuY, WVxHKyX45z_L][lJN7Up0gyY0N].astype(WqUC3KWvYVup.float)
cMbll0QYhULo = 0.0
if not (WVxHKyX45z_L == XdowRbJKZWL9 or xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\x84\xc8\x86K\\\xdb\xdd\xda#C\xd0'), chr(1889 - 1789) + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\144' + chr(0b101001 + 0o74))(chr(0b0 + 0o165) + '\164' + chr(102) + chr(45) + chr(0b101111 + 0o11)))(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\x8d\xc3'), chr(0b11001 + 0o113) + '\145' + '\143' + chr(0b1011000 + 0o27) + chr(896 - 796) + '\x65')('\165' + chr(0b101010 + 0o112) + chr(3613 - 3511) + '\x2d' + chr(0b111 + 0o61)))(I2840LEun5sE)) < 1e-08):
for tlORBuYsiw3X in vQr8gNKaIaWE(ehT0Px3KOsy9('\060' + chr(4320 - 4209) + chr(850 - 802), 8), c2A0yzQpDQB3(OeWW0F1dBPRQ), dicZS4hSdB9L):
if xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xdc\xf5\x9bpu\xaa\x9c\xcb_M\xd5'), '\144' + chr(101) + chr(0b101111 + 0o64) + chr(0b1010 + 0o145) + chr(0b1100100) + chr(1564 - 1463))(chr(117) + chr(0b11001 + 0o133) + chr(102) + chr(0b101101) + '\070'))(I2840LEun5sE[tlORBuYsiw3X:tlORBuYsiw3X + dicZS4hSdB9L]) > ehT0Px3KOsy9('\x30' + '\x6f' + chr(48), 8) and xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xdc\xf5\x9bpu\xaa\x9c\xcb_M\xd5'), chr(100) + '\145' + chr(1105 - 1006) + chr(111) + '\144' + chr(0b1100101))(chr(0b100011 + 0o122) + chr(0b100 + 0o160) + '\x66' + chr(0b11101 + 0o20) + chr(0b1111 + 0o51)))(HyJ1xHu5jT6G[tlORBuYsiw3X:tlORBuYsiw3X + dicZS4hSdB9L]) > ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\060', 8):
cMbll0QYhULo += Lt3jp3Wjtj_1(WqUC3KWvYVup.corrcoef(HyJ1xHu5jT6G[tlORBuYsiw3X:tlORBuYsiw3X + dicZS4hSdB9L], I2840LEun5sE[tlORBuYsiw3X:tlORBuYsiw3X + dicZS4hSdB9L])[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(211 - 163), 8), ehT0Px3KOsy9(chr(48) + chr(4079 - 3968) + '\x31', 8)])
yeE82CVjjFNH = cMbll0QYhULo
I2840LEun5sE = WqUC3KWvYVup.isnan(xEgrFJ0REugl[HP9YF4VVcIuY, WVxHKyX45z_L][lJN7Up0gyY0N].astype(WqUC3KWvYVup.float))
cMbll0QYhULo = 0.0
if not (WVxHKyX45z_L == XdowRbJKZWL9 or xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\x84\xc8\x86K\\\xdb\xdd\xda#C\xd0'), chr(3954 - 3854) + chr(0b1100101) + chr(0b0 + 0o143) + chr(0b1101111) + chr(0b1 + 0o143) + chr(0b1100101))(chr(117) + '\x74' + chr(0b1100110) + chr(976 - 931) + '\070'))(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\x8d\xc3'), chr(1019 - 919) + chr(0b11010 + 0o113) + chr(0b1100011) + '\x6f' + chr(0b1101 + 0o127) + chr(101))(chr(11170 - 11053) + chr(0b10011 + 0o141) + chr(0b1100110) + '\055' + chr(56)))(I2840LEun5sE)) < 1e-08):
for tlORBuYsiw3X in vQr8gNKaIaWE(ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(9097 - 8986) + '\x30', 8), c2A0yzQpDQB3(OeWW0F1dBPRQ), dicZS4hSdB9L):
if xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xdc\xf5\x9bpu\xaa\x9c\xcb_M\xd5'), chr(3876 - 3776) + '\x65' + chr(99) + chr(0b101101 + 0o102) + '\x64' + chr(0b1100101))('\165' + chr(1844 - 1728) + chr(0b11011 + 0o113) + chr(45) + '\x38'))(I2840LEun5sE[tlORBuYsiw3X:tlORBuYsiw3X + dicZS4hSdB9L]) > ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101 + 0o142) + '\x30', 8) and xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xdc\xf5\x9bpu\xaa\x9c\xcb_M\xd5'), '\x64' + chr(0b1100101) + '\143' + chr(0b1101111) + chr(100) + '\x65')('\165' + '\164' + '\x66' + chr(0b101101) + chr(0b100100 + 0o24)))(HyJ1xHu5jT6G[tlORBuYsiw3X:tlORBuYsiw3X + dicZS4hSdB9L]) > ehT0Px3KOsy9(chr(0b110000) + chr(0b100111 + 0o110) + chr(772 - 724), 8):
cMbll0QYhULo += Lt3jp3Wjtj_1(WqUC3KWvYVup.corrcoef(HyJ1xHu5jT6G[tlORBuYsiw3X:tlORBuYsiw3X + dicZS4hSdB9L], I2840LEun5sE[tlORBuYsiw3X:tlORBuYsiw3X + dicZS4hSdB9L])[ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(48), 8), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + '\061', 8)])
L1JH2lZ8FE2r = cMbll0QYhULo
xafqLlk3kkUe(nQaadXxV7Mbf, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\x9f\xc0\xa1HW'), '\144' + chr(6032 - 5931) + chr(0b1100011) + chr(0b1101011 + 0o4) + chr(100) + '\145')('\x75' + '\164' + '\146' + '\x2d' + '\x38'))(tsdjvlgh9gDP(yeE82CVjjFNH, L1JH2lZ8FE2r))
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\x9d\xd7\xb7IA\x9b'), chr(6087 - 5987) + '\x65' + chr(0b101100 + 0o67) + chr(111) + chr(4765 - 4665) + chr(6932 - 6831))(chr(117) + chr(0b1100111 + 0o15) + chr(0b1100110) + chr(45) + chr(0b101100 + 0o14)))(-xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\x8d\xc3'), chr(1746 - 1646) + chr(7312 - 7211) + chr(2883 - 2784) + '\157' + '\x64' + '\x65')('\165' + chr(116) + chr(6893 - 6791) + chr(0b101101) + chr(56)))(nQaadXxV7Mbf))
|
slundberg/shap
|
shap/benchmark/plots.py
|
_human_score_map
|
def _human_score_map(human_consensus, methods_attrs):
""" Converts human agreement differences to numerical scores for coloring.
"""
v = 1 - min(np.sum(np.abs(methods_attrs - human_consensus)) / (np.abs(human_consensus).sum() + 1), 1.0)
return v
|
python
|
def _human_score_map(human_consensus, methods_attrs):
""" Converts human agreement differences to numerical scores for coloring.
"""
v = 1 - min(np.sum(np.abs(methods_attrs - human_consensus)) / (np.abs(human_consensus).sum() + 1), 1.0)
return v
|
[
"def",
"_human_score_map",
"(",
"human_consensus",
",",
"methods_attrs",
")",
":",
"v",
"=",
"1",
"-",
"min",
"(",
"np",
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"sum",
"(",
"np",
".",
"abs",
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"methods_attrs",
"-",
"human_consensus",
")",
")",
"/",
"(",
"np",
".",
"abs",
"(",
"human_consensus",
")",
".",
"sum",
"(",
")",
"+",
"1",
")",
",",
"1.0",
")",
"return",
"v"
] |
Converts human agreement differences to numerical scores for coloring.
|
[
"Converts",
"human",
"agreement",
"differences",
"to",
"numerical",
"scores",
"for",
"coloring",
"."
] |
b280cb81d498b9d98565cad8dd16fc88ae52649f
|
https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/plots.py#L370-L375
|
train
|
Converts human agreement differences to numerical scores for coloring.
|
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' + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(797 - 686) + chr(0b110011 + 0o1) + chr(0b11010 + 0o34), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110111) + '\066', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + '\x32' + chr(53) + chr(0b110001 + 0o0), 0o10), ehT0Px3KOsy9('\060' + chr(1565 - 1454) + '\062' + chr(0b101010 + 0o7) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(0b110110) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b111 + 0o54) + '\x33' + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100011 + 0o20) + chr(0b110110) + chr(825 - 770), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(92 - 44) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(0b100 + 0o56) + chr(0b1100 + 0o46) + chr(907 - 856), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(740 - 691) + chr(0b110001) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1011 + 0o46) + '\x31' + chr(386 - 334), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b100100 + 0o23) + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101110 + 0o11) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(1895 - 1847) + chr(0b1101111) + chr(0b110010) + chr(2070 - 2021) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(1034 - 986) + chr(0b1101111) + '\x37' + '\066', 8), ehT0Px3KOsy9('\060' + chr(0b1011101 + 0o22) + chr(0b110111) + '\061', 52945 - 52937), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(350 - 298) + chr(0b101010 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(920 - 872) + chr(0b10101 + 0o132) + chr(49) + chr(54) + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(4650 - 4539) + '\x35' + chr(2021 - 1969), 28099 - 28091), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(50) + '\065' + '\061', 8), ehT0Px3KOsy9(chr(48) + chr(5228 - 5117) + '\x33' + '\x34' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x36' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1001 + 0o52) + '\x35' + chr(706 - 658), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b101 + 0o152) + '\x32' + chr(0b110111) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10100 + 0o40) + chr(0b110100), 11312 - 11304), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(53) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + '\067' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(368 - 320) + chr(5412 - 5301) + '\063' + chr(52) + '\x33', 8), ehT0Px3KOsy9(chr(268 - 220) + chr(0b1011100 + 0o23) + chr(2520 - 2469) + '\060' + chr(2154 - 2103), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\x33' + chr(0b10000 + 0o43), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(525 - 475) + chr(0b101000 + 0o13) + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(0b1001011 + 0o44) + '\x31' + chr(874 - 823) + '\063', 8), ehT0Px3KOsy9(chr(591 - 543) + chr(0b1110 + 0o141) + '\061' + '\066' + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111101 + 0o62) + chr(54) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(10125 - 10014) + chr(0b101010 + 0o11) + '\x33' + chr(246 - 196), 6926 - 6918), ehT0Px3KOsy9(chr(48) + chr(5480 - 5369) + chr(945 - 896) + chr(1535 - 1486) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(0b110001) + chr(0b10001 + 0o37), 0o10), ehT0Px3KOsy9(chr(48) + chr(2390 - 2279) + '\062' + '\065' + chr(0b0 + 0o66), 41863 - 41855), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + '\060', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(61 - 8) + chr(1628 - 1580), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'.'), chr(0b1100100) + '\145' + chr(6385 - 6286) + '\x6f' + '\144' + chr(0b0 + 0o145))('\165' + chr(10128 - 10012) + '\x66' + chr(1693 - 1648) + chr(2156 - 2100)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def guSMju2PXgF3(q5iTJ9Sj95ys, AD4begJ9RWGZ):
cMbll0QYhULo = ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(948 - 899), ord("\x08")) - Dx22bkKPdt5d(WqUC3KWvYVup.xkxBmo49x2An(WqUC3KWvYVup.abs(AD4begJ9RWGZ - q5iTJ9Sj95ys)) / (WqUC3KWvYVup.abs(q5iTJ9Sj95ys).xkxBmo49x2An() + ehT0Px3KOsy9(chr(48) + chr(111) + '\x31', 8)), 1.0)
return cMbll0QYhULo
|
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